General Population Census of 1968 DDI_FRA_1968_PHC_v01_M_v7.5_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

IPUMS May 20, 2024 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS 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. General Population Census of 1968 - IPUMS Subset PHC France 1968 (IPUMS Harmonized Subset) FRA_1968_PHC_v01_M_v7.5_A_IPUMS INSEE (Institut National de la Statisque et des Etudes Economiques) IPUMS (c) Copyright 1968, INSEE (Institut National de la Statisque et des Etudes Economiques) and Minnesota Population Center INSEE (Institut National de la Statisque et des Etudes Economiques) Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: F-N Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Demographic Variables -- PERSON Work: Industry Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Other Person Variables -- PERSON March 1, 1968 March 1, 1968 France Region Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes* - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes* UNIT DESCRIPTIONS: - Dwellings: no - Households: Yes - Group quarters: A collective household is a group of persons that does not live in an ordinary household, but lives in a collective establishment, sharing meal times. Residents in France, of any nationality. Does not include French citizens living in other countries, foreign tourists, or people passing through. Reintegrated persons: Persons living in group quarters or without a fixed address but having a usual home elsewhere (i.e., enumerated away from their usual residence). During data processing, most of these people are reintegrated into their usual households, except in the case of persons in psychiatric hospitals and prisons. Legal population refers to de jure population plus population compte a part. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: France 1968 MICRODATA SOURCE: INSEE (Institut National de la Statisque et des Etudes Economiques) SAMPLE SIZE (person records): 2487778. SAMPLE DESIGN: Systematic manual sorting into lots with different sample units according to target population. Lots divide the population into different samples (1/20,1/5,3/4). Reintegrated persons: Persons living in group quarters or without a fixed address but having a usual home elsewhere (i.e., enumerated away from their usual residence). During data processing, most of these people are reintegrated into their usual households, except in the case of persons in psychiatric hospitals and prisons. Legal population refers to de jure population plus population compte a part. Face-to-face [f2f] Separate forms for buildings, group quarters (collective households), group quarters (compte a part), private households, and boats. Four forms for individuals (living in group quarters and private dwellings; two different forms for people compte a part; living in boats). de jure, CENSUS DAY: March 1, 1968 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. INSEE (Institut National de la Statisque et des Etudes Economiques) . 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: France, INSEE (Institut National de la Statisque et des Etudes Economiques). General Population Census of 1968 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. User-provided description: DOI:10.18128/D020.V7.5 Extract for fr1968a, 2024 FRA1968_PHC-H-H.dat Household records 815,699 ascii Minnesota Population Center Version 7.5, IPUMS sample FRA1968_PHC-P-H.dat Person records 2487778 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country 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). 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 Technical Household Variables -- HOUSEHOLD Year 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. 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 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier 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). 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 Technical Household Variables -- HOUSEHOLD 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. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD 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. Technical Household Variables -- HOUSEHOLD Subsample number 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. 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 Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status 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. 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 Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each 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 Geography: Global Variables -- HOUSEHOLD 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. Geography: Global Variables -- HOUSEHOLD Nomenclature of Territorial Units for Statistics 1, Europe ENUTS1 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS1 is the first level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. ENUTS1 corresponds to the 2010 version of NUTS1 released by Eurostat. IPUMS has added ENUTS1_2013 for the more recent samples. ENUTS1_2013 is an amendment to the annexes to the ENUTS1 classification. The last 2-digits of the ENUTS1 variable provide the NUTS1 code. The labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash. Smaller sub-national units are available for most countries in ENUTS2 and ENUTS3. The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 0101 AT1 / Ostösterreich 0102 AT2 / Südösterreich 0103 AT3 / Westösterreich 0601 DE1 / Baden-Württemberg 0602 DE2 / Bayern 0603 DE3 / Berlin 0604 DE4 / Brandenburg 0605 DE5 / Bremen 0606 DE6 / Hamburg 0607 DE7 / Hessen 0608 DE8 / Mecklenburg-Vorpommern 0609 DE9 / Niedersachsen 0610 DEA / Nordrhein-Westfalen 0611 DEB / Rheinland-Pfalz 0612 DEC / Saarland 0613 DED / Sachsen 0614 DEE / Sachsen-Anhalt 0615 DEF / Schleswig-Holstein 0616 DEG / Thüringen 0901 ES1 / Noroeste 0902 ES2 / Noreste 0903 ES3 / Comunidad de Madrid 0904 ES4 / Centro (E) 0905 ES5 / Este 0906 ES6 / Sur 0907 ES7 / Canarias 0909 ES / Unknown 1101 FR1 / Île de France 1102 FR2 / Bassin Parisien 1103 FR3 / Nord - Pas-de-Calais 1104 FR4 / Est 1105 FR5 / Ouest 1106 FR6 / Sud-Ouest 1107 FR7 / Centre-Est 1108 FR8 / Méditerranée 1109 FR9 / Département d’Outre-Mer 1199 FR99 / Unknown 1201 EL1 / Voreia Ellada 1202 EL2 / Kentriki Ellada 1203 EL3 / Attiki 1204 EL4 / Nisia Aigaiou, Kriti 1400 IE0 / Republic of Ireland 1503 ITC / Nord-Ovest 1506 ITF / Sud 1507 ITG / Isole 1508 ITH / Nord-Est 1509 ITI / Centro 2101 PL1 / Centralny 2102 PL2 / Południowy 2103 PL3 / Wschodni 2104 PL4 / Północno-zachodni 2105 PL5 / Południowo-zachodni 2106 PL6 / Północny 2201 PT1 / Continente 2202 PT2 / Região Autónoma dos Açores 2203 PT3 / Região Autónoma da Madeira 2301 RO1 / Macroregiunea Unu 2302 RO2 / Macroregiunea Doi 2303 RO3 / Macroregiunea Trei 2304 RO4 / Macroregiunea Patru 2501 SI0 / Slovenia 2600 SK0 / Slovensko 2701 UKC / North East (England) 2702 UKD / North West (England) 2703 UKE / Yorkshire and the Humber (England) 2704 UKF / East Midlands (England) 2705 UKG / West Midlands (England) 2706 UKH / East of England (England) 2707 UKI / LONDON (England) 2708 UKJ / South East (England) 2709 UKK / South West (England) 2710 UKL / WALES 2711 UKM / SCOTLAND 2712 UKN / NORTHERN IRELAND 3400 CH0/Switzerland 3901 TR1 / Istanbul 3902 TR2 / Bati Marmara 3903 TR3 / Ege 3904 TR4 / Dogu Marmara 3905 TR5 / Bati Anadolu 3906 TR6 / Akdeniz 3907 TR7 / Orta Anadolu 3908 TR8 / Bati Karadeniz 3909 TR9 / Dogu Karadeniz 3911 TRA / Kuzeydogu Anadolu 3912 TRB / Ortadogu Anadolu 3913 TRC / Güneydogu Anadolu 9999 UNKNOWN Geography: Global Variables -- HOUSEHOLD Nomenclature of Territorial Units for Statistics 2, Europe ENUTS2 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS2 is the second level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. ENUTS2 corresponds to the 2010 version of NUTS2 released by Eurostat. The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash. The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 0111 AT11 / Burgenland 0112 AT12 / Niederösterreich 0113 AT13 / Wien 0121 AT21 / Kärnten 0122 AT22 / Steiermark 0131 AT31 / Oberösterreich 0132 AT32 / Salzburg 0133 AT33 / Tirol 0134 AT34 / Vorarlberg 0911 ES11 / Galicia 0912 ES12 / Principado de Asturias 0913 ES13 / Cantabria 0921 ES21 / País Vasco 0922 ES22 / Comunidad Foral de Navarra 0923 ES23 / La Rioja 0924 ES24 / Aragón 0930 ES30 / Comunidad de Madrid 0941 ES41 / Castilla y León 0942 ES42 / Castilla-La Mancha 0943 ES43 / Extremadura 0951 ES51 / Cataluña 0952 ES52 / Comunidad Valenciana 0953 ES53 / Illes Balears 0961 ES61 / Andalucía 0962 ES62 / Región de Murcia 0963 ES63 / Ciudad Autónoma de Ceuta 0964 ES64 / Ciudad Autónoma de Melilla 0970 ES70 / Canarias 0999 ES / Unknown 1110 FR10 / Île de France 1121 FR21 / Champagne-Ardenne 1122 FR22 / Picardie 1123 FR23 / Haute-Normandie 1124 FR24 / Centre 1125 FR25 / Basse-Normandie 1126 FR26 / Bourgogne 1130 FR30 / Nord-Pas-de-Calais 1141 FR41 / Lorraine 1142 FR42 / Alsace 1143 FR43 / Franche-Comté 1151 FR51 / Pays de la Loire 1152 FR52 / Bretagne 1153 FR53 / Poitou-Charentes 1161 FR61 / Aquitaine 1162 FR62 / Midi-Pyrénées 1163 FR63 / Limousin 1171 FR71 / Rhône-Alpes 1172 FR72 / Auvergne 1181 FR81 / Lanquedoc-Roussillon 1182 FR82 / Provence-Alpes-Côte d'Azur 1183 FR83 / Corse 1191 FR91 / Guadeloupe 1192 FR92 / Martinique 1193 FR93 / Guyane 1194 FR94 / Réunion 1199 FR99 / Unknown 1211 EL11 / Anatoliki Makedonia, Thraki 1212 EL12 / Kentriki Makedonia 1213 EL13 / Dytiki Makedonia 1214 EL14 / Thessalia 1221 EL21 / Ipeiros 1222 EL22 / Ionia Nisia 1223 EL23 / Dytiki Ellada 1224 EL24 / Sterea Ellada 1225 EL25 / Peloponnisos 1230 EL30 / Attiki 1241 EL41 / Voreio Aigaio 1242 EL42 / Notio Aigaio 1243 EL43 / Kriti 1401 IE01 / Border, Midland and Western 1402 IE02 / Southern and Eastern 1531 ITC1 / Piemonte + ITC2 / Valle d'Aosta 1533 ITC3 / Liguria 1534 ITC4 /Lombardia 1561 ITF1 / Abruzzo 1562 ITF2 / Molise 1563 ITF3 / Campania 1564 ITF4 / Puglia 1565 ITF5 / Basilicata 1566 ITF6 / Calabria 1571 ITG1 / Sicilia 1572 ITG2 / Sardegna 1581 ITH1 / Bolzano-Bozen + ITH2 / Trento 1583 ITH3 / Veneto 1584 ITH4 / Friuli-Venezia Giulia 1585 ITH5 / Emilia-Romagna 1591 ITI1 / Toscana 1592 ITI2 / Umbria 1593 ITI3 / Marche 1594 ITI4 / Lazio 2111 PL11 / Łódzkie 2112 PL12 / Mazowieckie 2121 PL21 / Małopolskie 2122 PL22 / Śląskie 2131 PL31 / Lubelskie 2132 PL32 / Podkarpackie 2133 PL33 / Świętokrzyskie 2134 PL34 / Podlaskie 2141 PL41 / Wielkopolskie 2142 PL42 / Zachodniopomorskie 2143 PL43 / Lubuskie 2151 PL51 / Dolnośląskie 2152 PL52 / Opolskie 2161 PL61 / Kujawsko-Pomorskie 2162 PL62 / Warmińsko-Mazurskie 2163 PL63 / Pomorskie 2211 PT11 / Norte 2215 PT15 / Algarve 2216 PT16 / Centro (P) 2217 PT17 / Lisboa 2218 PT18 / Alentejo 2220 PT20 / Região Autónoma dos Açores 2230 PT30 / Região Autónoma da Madeira 2311 RO11 / Nord-Vest 2312 RO12 / Centru 2321 RO21 / Nord-Est 2322 RO22 / Sud-Est 2331 RO31 / Sud - Muntenia 2332 RO32 / Bucuresti - Ilfov 2341 RO41 / Sud-Vest Oltenia 2342 RO42 / Vest 2501 SI01 / Vzhodna Slovenija 2502 SI02 / Zahodna Slovenija 2599 SI / Unknown 2601 SK01 / Bratislavský kraj 2602 SK02 / Západné Slovensko 2603 SK03 / Stredné Slovensko 2604 SK04 / Východné Slovensko 3401 CH01 / Région Lémanique 3402 CH02 / Espace Mittelland 3403 CH03 / Nordwestschweiz 3404 CH04 / Zurich 3405 CH05 / Ostschweiz 3406 CH06 / Zentralschweiz 3407 CH07 / Ticino 3910 TR10 / Istanbul 3921 TR21 / Tekirdag, Edirne, Kirklareli 3922 TR22 / Balikesir, Çanakkale 3931 TR31 / Izmir 3932 TR32 / Aydin, Denizli, Mugla 3933 TR33 / Manisa, Afyonkarahisar, Kütahya, Usak 3941 TR41 / Bursa, Eskisehir, Bilecik 3942 TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova 3951 TR51 / Ankara 3952 TR52 / Konya, Karaman 3961 TR61 / Antalya, Isparta, Burdur 3962 TR62 / Adana, Mersin 3963 TR63 / Hatay, Kahramanmaras, Osmaniye 3971 TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir 3972 TR72 / Kayseri, Sivas, Yozgat 3981 TR81 / Zonguldak, Karabük, Bartin 3982 TR82 / Kastamonu, Çankiri, Sinop 3983 TR83 / Samsun, Tokat, Çorum, Amasya 3990 TR90 / Trabzon 3991 TRA1 / Erzurum, Erzincan, Bayburt 3992 TRA2 / Agri, Kars, Igdir, Ardahan 3993 TRB1 / Malatya, Elazig, Bingöl, Tunceli 3994 TRB2 / Van, Mus, Bitlis, Hakkari 3995 TRC1 / Gaziantep, Adiyaman, Kilis 3996 TRC2 / Sanliurfa, Diyarbakir 3997 TRC3 / Mardin, Batman, Sirnak, Siirt Geography: Global Variables -- HOUSEHOLD 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. Geography: Global Variables -- HOUSEHOLD 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. Geography: Global Variables -- HOUSEHOLD France, Region 1962 - 2011 [Level 1; consistent boundaries, GIS] GEO1_FR identifies the household's region within France in all sample years. Regions are the first level administrative units of the country. GEO1_FR 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_FR can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for France 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. 250001 Guadeloupe 250002 Martinique 250003 French Guyana 250004 Réunion Island 250011 Île-de-France 250021 Champagne-Ardenne 250022 Picardy 250023 Upper Normandy 250024 Centre 250025 Lower Normandy 250026 Burgundy 250031 North Pas-de-Calais 250041 Lorraine 250042 Alsace 250043 Franche-Comté 250052 Loire Valley 250053 Brittany 250054 Poitou-Charentes 250072 Aquitaine 250073 Midi-Pyrénées 250074 Limousin 250082 Rhône-Alpes 250083 Auvergne 250091 Languedoc-Roussillon 250093 Provence-Alpes-Riviera 250094 Corsica 250999 Unknown Geography: F-N Variables -- HOUSEHOLD France, Region 1968 [Level 1, GIS] GEO1_ FR1968 identifies the household's region within France in 1968. Regions are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ FR1968 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for France 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. 011 Parisian region 021 Champagne Ardenne 022 Picardie 023 Haute-Normandie 024 Centre 025 Basse-Normandie 026 Bourgogne 031 Nord-Pas-de-Calais 041 Lorraine 042 Alsace 043 Franche-Comté 052 Pays-de-Loire 053 Bretagne 054 Poitou-Charentes 072 Aquitaine 073 Midi-Pyrénées 074 Limousin 082 Rhône-Alpes 083 Auvergne 091 Languedoc-Roussillon 093 Provence-Alpes-Côte d'Azur 094 Corsica Geography: F-N Variables -- HOUSEHOLD Ownership of dwelling [general version] 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. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] 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. 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 Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Fuel for heating FUELHEAT indicates the main fuel source for heating the household. 00 NIU (not in universe) 01 None 02 Electricity 03 Fuel oil, kerosene, other liquid fuels 04 Kerosene/paraffin 05 Diesel 06 Gas 07 Bottled gas, in tank, liquified 08 Solid fuel 09 Coal 10 Wood 11 Wood or coal 12 Solar 13 Animal dung 14 Charcoal 15 Biofuel 16 Other 17 Multiple sources 99 Unknown Utilities Variables -- HOUSEHOLD Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Central heating HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none. 0 NIU (not in universe) 1 No heating 2 Central heating, not specified 3 Collective central heating 4 Individual central heating 5 Other heating, not central 6 Heating, unspecified 7 No central heating/heating unknown 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 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) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 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+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Year structure was built BUILTYR indicates the year in which construction was completed on the building in which the household resides. 0000 NIU (not in universe) 1870 1870 or earlier 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Under construction 9999 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Age of structure, coded from intervals AGESTRUCT2 gives the estimated age of the structure. 000 Less than 1 year old 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 997 Under construction 998 Unknown 999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Stories in structure STORIES indicates the number of floors or levels in the building containing the responding housing unit. 00 NIU (not in universe) 01 1 story 02 2 stories 03 3 stories 04 4 stories 05 5 stories 06 6 stories 07 7 stories 08 8 stories 09 9 stories 10 10 stories 11 11 stories 12 12 stories 13 13 stories 14 14 stories 15 15 stories 16 16 stories 17 17 stories 18 18 stories 19 19 stories 20 20 stories 21 21 stories 22 22 stories 23 23 stories 24 24 stories 25 25+ stories 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Elevator in structure ELEVATOR indicates whether housing units in the building had access to a passenger elevator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Household classification 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. 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 Constructed Household Variables -- HOUSEHOLD Number of families in household 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. 0 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 Constructed Household Variables -- HOUSEHOLD Number of married couples in household 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). 0 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 Constructed Household Variables -- HOUSEHOLD Number of 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). 0 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 Constructed Household Variables -- HOUSEHOLD Number of 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). 0 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 Constructed Household Variables -- HOUSEHOLD 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. Constructed Household Variables -- HOUSEHOLD Year the building was completed <svar a="all" v="FR68A002">5. Year the construction was completed <div class="i1">If various parts are not from the same time period, indicate the year of completion of the most important inhabited section. In the case of renovation or raising the height, indicate the year of the reconstruction or heightening. [] 1 Before 1871. [] 2 From 1871 to 1914. [] 3 From 1915 to 1939. [] 4 From 1940 to 1948. [] 5 From 1949 to 1953. In the following cases, specify the year of completion: 19 _ _ [] 6 From 1954 to 1961 [] 7 1962 or after. [] 8 Building being constructed and partially inhabited.</div> </svar> <svar a="all" v="FR68A002">3.3.4. Question 5: Year the construction was finished. This information is very important. You will be obtain it by questioning the owner, the concierge, the people who have lived in the house for a long time, the neighborhood or the community. Some buildings bear the year of completion engraved on the side. For the four first sections, it often suffices to know the date of completion within a certain number of years in order to answer without it being considered an error. In the absence of direct information, you will sometimes be able to classify buildings by comparing them to others, typical with some time periods. City hall might be able to tell you if, in your district, there some important apartment building complexes constructed in well- determined time periods. For buildings completed beginning 1919 (rubrics 5, 6 and 7) you should specify the exact year of completion. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the year the building was built. 00 Before 1871 01 Between 1871 and 1914 02 Between 1915 and 1939 03 Between 1940 and 1948 04 Between 1949 and 1953 05 Between 1954 and 1957 06 Between 1958 and 1961 07 Between 1962 and 1964 08 Between 1965 and 1968 09 Building under construction, partially inhabited 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Presence of an elevator in the building <svar a="all" v="FR68A003">4. Elevator <div class="i1">Is there an elevator in the building? [] 1 Yes [] 2 No</div> </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates whether the building has an elevator or not. 1 Not present 2 Present 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Heating source of the dwelling (and the building) <svar a="all" v="FR68A004 FR68A005 FR68A008">10. Central heating <div class="i1">[] 1 Urban heating [] 2 Public heating for a group of buildings. Building with three or more dwellings [] 3 With public heating for the building itself (serving the whole building or only the shared spaces, or several dwellings). [] 4 Without public heating installation (some dwellings able to possess individual installations) Building with 1 or 2 dwellings [] 5 With installation of central heating. [] 6 Without installation of central heating. If you have checked one of the boxes numbered 2, 3 or 5, indicate the fuel used: [] 1 Coal. [] 2 Oil. [] 3 Gas. [] 4 Wood [] 5 Others. Specify: ___</div> </svar> <svar a="all" v="FR68A004 FR68A005 FR68A008">3.3.7. Question 10: Central heating Check one box only for the main question. Rubric 2 corresponds especially in the case of some large modern residential buildings where the various buildings are heated by the same furnace. It also is the case for some workers' development housing centers and villas for engineers heated by the factory. Do not forget to specify the fuel used if you have checked boxes 2, 3 or 5 of the main question. </svar> <svar a="FR68A007" v="FR68A004 FR68A007">4.3.6 Question 9: Central heating. In the case of a building containing just one dwelling, for which you will check box 5 on question 10 of the house form, you will check one of the boxes 1- 5 in question 9 of the housing form. The answer 6 to question 9 of the housing form should not be used except in the case of shared heating used in the whole building or in several dwellings of the building. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the source of heat and the fuel used in it for the dwelling. 10 Urban heating 21 Shared central heating by coal 22 Shared central heating by oil 23 Shared central heating by gas 24 Shared central heating by wood 31 Individual central heating, private home (one single dwelling); coal 32 Individual central heating, private home (one single dwelling); oil 33 Individual central heating, private home (one single dwelling); gas 34 Individual central heating, private home (one single dwelling), wood 41 Individual central heating, residential building (more than one dwelling); coal 42 Individual central heating, residential building (more than one dwelling); oil 43 Individual central heating, residential building (more than one dwelling); oil 44 Individual central heating, residential building (more than one dwelling); wood 50 Dwelling without central heating in a private home 60 Dwelling without central heating in a residential building 99 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Heating fuel in the building <svar a="all" v="FR68A004 FR68A005 FR68A008">10. Central heating <div class="i1">[] 1 Urban heating [] 2 Public heating for a group of buildings. Building with three or more dwellings [] 3 With public heating for the building itself (serving the whole building or only the shared spaces, or several dwellings). [] 4 Without public heating installation (some dwellings able to possess individual installations) Building with 1 or 2 dwellings [] 5 With installation of central heating. [] 6 Without installation of central heating. If you have checked one of the boxes numbered 2, 3 or 5, indicate the fuel used: [] 1 Coal. [] 2 Oil. [] 3 Gas. [] 4 Wood [] 5 Others. Specify: ___</div> </svar> <svar a="all" v="FR68A004 FR68A005 FR68A008">3.3.7. Question 10: Central heating Check one box only for the main question. Rubric 2 corresponds especially in the case of some large modern residential buildings where the various buildings are heated by the same furnace. It also is the case for some workers' development housing centers and villas for engineers heated by the factory. Do not forget to specify the fuel used if you have checked boxes 2, 3 or 5 of the main question. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the heating fuel used in the building. 0 Not applicable (building without central heating) 1 Coal 2 Oil 3 Gas 4 Wood 5 Urban heating 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Means of heating in the dwelling <svar a="FR68A007" v="FR68A004 FR68A007">4.3.6 Question 9: Central heating. In the case of a building containing just one dwelling, for which you will check box 5 on question 10 of the house form, you will check one of the boxes 1- 5 in question 9 of the housing form. The answer 6 to question 9 of the housing form should not be used except in the case of shared heating used in the whole building or in several dwellings of the building. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates whether the dwelling has central heating or not. 0 NIU (not in universe) 1 Individual central heating 2 Shared central heating 3 No central heating Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Central heating in the building <svar a="all" v="FR68A004 FR68A005 FR68A008">10. Central heating <div class="i1">[] 1 Urban heating [] 2 Public heating for a group of buildings. Building with three or more dwellings [] 3 With public heating for the building itself (serving the whole building or only the shared spaces, or several dwellings). [] 4 Without public heating installation (some dwellings able to possess individual installations) Building with 1 or 2 dwellings [] 5 With installation of central heating. [] 6 Without installation of central heating. If you have checked one of the boxes numbered 2, 3 or 5, indicate the fuel used: [] 1 Coal. [] 2 Oil. [] 3 Gas. [] 4 Wood [] 5 Others. Specify: ___</div> </svar> <svar a="all" v="FR68A004 FR68A005 FR68A008">3.3.7. Question 10: Central heating Check one box only for the main question. Rubric 2 corresponds especially in the case of some large modern residential buildings where the various buildings are heated by the same furnace. It also is the case for some workers' development housing centers and villas for engineers heated by the factory. Do not forget to specify the fuel used if you have checked boxes 2, 3 or 5 of the main question. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the type of central heat in the dwelling's building. 0 NIU (not in universe) 1 Urban heating 2 Shared heating for a group of buildings 3 Building with 3 or more dwellings with shared heating installation for the building 4 Building with 3 or more dwellings without shared heating installation 5 Building with 1 or 2 dwellings with central heating 6 Building with 1 or 2 dwellings without central heating Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Household category <svar a="all" v="FR68A009">1. Building type <div class="i1">[] 1 Farm, agricultural buildings [] 2 Make-shift housing (such as a train car, shantytown shack, building inhabited although in ruins, etc.) ___ Specify [] 3 Temporary construction used as a residence. [] 4 Hotel, boarding house, furnished apartment (occupying all or most of the building). [] 5 Individual house or public building entirely or mostly used as a residence. [] 6 Building mostly for industrial, commercial, administrative or public use; such a building can consist of one or several dwelling accommodations for housed personnel (this is often the case for a director or concierge, etc.) ___Specify the exact nature of the building. Examples: factory, workshop, store, warehouse, mall, shop, movie theater, bank, building made up of office suites. Hospital, clinic, rest house, sanatorium, dispensary, asylum. School, boarding school, middle school. Administrative building, city hall, military barracks, train station, post office, museum, church, stadium, etc. ___ If you are hesitant about a particular case, describe it.</div> </svar> <svar a="all" v="FR68A009">4.1. General definition of dwellings As a general rule, by dwelling you will consider any separated and independent place used as a dwelling. The local (a single room or a group of rooms) should be separate, that means that it must be completely closed off by walls and partitions. It should not be in contact with another place if it is not by shared parts of the building (stairs, entryways, etc.) The local should be independent, that is to say that it should possess its own independent entrance looking out on the outside, whether directly or by the intermediary of the shared parts of the building, without it being necessary to cross through another place occupied by other people. The local should be used as an abode. You will keep track of the current purpose of the places and not the original purpose of the structure. Thus, you will not establish any housing form for former dwellings integrally transformed into (or used as) offices, stores, workshops, etc. On the other hand, you will establish a housing form for a make- shift dwelling (type 2 building in question 1 of the house form - See 3.3.1) serving as a shelter for a person, a household or a family, in the absence of another residence. Furthermore, you should keep track of the current arrangement of the places and not their original arrangement (at the time of their construction). For example, if two dwellings have been put together by opening a connection between them in order to make one larger apartment occupied by a single household, you will only establish one single housing form. On the other hand, you will establish two housing forms when a dwelling is divided into two independent parts (each part having its own special access, all connection between them having been cut off and each is occupied by a distinct group of people). [p.24] 4.1.1. Important Note It happens that two households, in the meaning that one usually gives for this term (1), live together in the same dwelling while using some shared facilities (kitchen, bathroom, etc.). In such a case, you should fill out one single form number 1 and not 2: remember that the form number one is a housing form. This rule should be observed especially in the two following cases, which are frequent: a. When newlyweds live at their parents' home while waiting to have a personal dwelling of their own, you should fill out only one form 1 for the dwelling used by both the young couple and the parents (in order for it to be conducive to establish two forms number 1, it would be necessary that the dwelling be renovated into two parts completely separated: see above). b. When one non- independent part of a dwelling is rented out, sublet or lent to renters, people who sublet, boarders or to other sheltered people, this part should not become the subject of a distinct housing form (the renters, people subletting, boarders, or people living there occupying rooms that are not independent, will be recorded on list A after their landlord and the people of his household). 4.1.2. Situation of the bungalow or the two- story villa (ground floor and first floor). You will establish two dwelling forms only if the bungalow is occupied by two households living independently from each other (this is not the case, especially when the meals are eaten together). 4.2. Explanations related to the box to be filled out by the census agent, on the first page of the housing form. You should classify each dwelling in one of the seven categories (1 to 7) appearing on the bottom of the first page of the housing form. Attentively read the explanations below which will specify the definition of a dwelling in some special cases. You will find in paragraphs 6.1 and 6.2 some explanations concerning the population counted separately and the population living in shared households. 4.2.1. Category 2: Independent rooms rented out, sublet, or leased to certain individuals. Some dwelling sometimes have an independent annex, that is to say which has access to the outside, either directly, or by the intermediary of shared parts of the building, without it being necessary to go through places occupied by other people. This is the case, for example, for dwellings having a maid's room situated on another floor (frequently the case in the Parisian neighborhoods). If the owner of the main dwelling has such an annex for himself (in order to shelter a member of his family, a maid, etc) or if the independent room is unoccupied at the time of the census, it is not necessary to establish a distinct form number 1 for the room. If, on the other hand, the annex is rented, sublet or leased to particular people, you should establish a distinct number one form for it by checking box 2 of the category of dwelling and by adding the name of the owner of the main dwelling . (This information will possibly permit considering the main dwelling and its annex as a single unit, in some uses of the census.) The rooms classified in category 2 should always join up to a main dwelling. [Footnote] (1) We often mean by a household a group of people living together (for example, taking their meal together), and even more restrictive yet, a household is sometimes synonymous with a married couple. [p.25] 4.2.2. Category 3 - Furnished rooms in a hotel, a boarding house, a furnished room, etc. Some clients of these establishments reside there for most of the year (for example, students residing for the whole school year in a hotel room); some have no other residence (for example, young married couples not having found a place to live elsewhere). In such cases, you will establish dwelling form for each bedroom (or possibly apartments) occupied by a household or a person living alone. You will check box 3 of the housing category and, in question 4 (page 4 of the housing form), it is box 6 which should be checked. You will check box 3 of the category of dwelling and, in question 4 on page 4 of the dwelling form, it's box 5 which should be checked. For people passing through in hotels, refer to paragraph 6.3.1. Dwelling category 3 should be used only for bedrooms or furnished apartments of hotels, youth hostels, boarding houses, furnished rooms (building type 4 on question 1 of the house form). It should certainly not be used either for students living in university dorms or homes, or for workers residing in hostels (see 6.2 hereafter). 4.2.3. Temporary structure used as an abode. This category will naturally be used for all main residences of a type 3 building (question 1 of the house form) Exceptionally, you will be about to use it for a type 1 type 5, or type 6 building, of which one part alone would be a temporary structure. If you encounter such a case describe it on the bottom of the section on page one in as much detail as possible. 4.2.4. Make- shift dwelling This category will naturally be used for all abodes of type 2 (question 1 of the house form). You will classify as well in category 5 an impromptu shelter in an place unfit for habitation, situated inside of an ordinary building (cellar, attic, shop, barn, workshop, etc.) Specify the characteristics of the place in as much detail as possible. 4.2.5. Category 1 - Regular dwelling This category is comprised of all the dwellings with the exception of special cases listed in categories 2 to 5, provided that they are occupied as the main residence. When the people have several residences, their principal residence is the one in which they spend most of their time during the year. Category 7 - Secondary residence This category will consist of regular dwellings used as secondary residences: country houses, villas and vacation dwellings, etc. You will classify here as well the dwellings or furnished apartments, rented or to be rented during tourist seasons in the seaside and health resorts, winter sports resorts, etc. As it is specified in paragraph 5.1, the people who must appear in list A of the housing form are those whose dwelling is the principal residence. Therefore, you should never collect individual forms 2 for a secondary residence, even if, at the time of the census, the owners of the secondary residence are occupying it. The only exception is when these people would be absent from their regular residence during the whole operation of the census and where no one will be able to fill out their forms in their place. [p.26] In this case, you will consider them as people passing through and you will classify the individual forms collected in that capacity in folder number 20, while checking that there is no one written down in list A of the housing form established for this secondary residence (see 4.4.2). 4.2.7. Category 6 - Vacant dwelling This category consists of vacant regular dwellings, meaning not occupied either as a main residence or as a secondary residence. Usually, such a dwelling is available for sale or for rent ; but it also can be neither. For example, you will check box 6 for a brand new dwelling, already attributed, but not yet occupied by its renter or its owner. In such a case, you will not establish any individual forms for the future occupants. </svar> France 1968: All households This variable indicates the household's type (e.g., private, collective, etc.). 1 Ordinary dwelling 2 Independent room(s) rented, sublet or loaned to some individuals 3 Furnished room(s) in a hotel, a boarding home, a furnished room, etc. 4 Temporary construction used as a dwelling 5 Make-shift dwelling 8 Occupants of mobile homes 9 People in collective dwellings, and those not reintegrated to a household Group Quarters Variables -- HOUSEHOLD Type of cooking facilities <svar a="all" v="FR68A010">1. Do you have a kitchen? <div class="i1">[] Yes What is the surface area? [] 1 less than 7 squared meters [] 2 from 7 to 12 squared meters [] 3 more than 12 squared meters [] No However, do you have an installation in your dwelling for preparing food? [] 5 Yes [] 6 No Do not answer "yes" except if this installation consists of a sink allowing water to drain</div> </svar> <svar a="all" v="FR68A010 FR68A017 FR68A018">3.1 Questions 1 and 3: Characteristics and existence of the kitchen, number of rooms. The same room should never be counted at the same time in response to question 1 and in the answer to question 3. It should be counted in question 1 if it is considered a kitchen (answer Yes to question 1), and to question 3 if it is considered as a room in a dwelling. In some dwellings, there is no separation (or there is a removable partition) between the two "rooms", (for example the dining room and the living room). In such a case, you will count it as two rooms if there is a partition and one single room if there is no partition. The case of the dwelling consisting of one single room It in the country that you may often encounter some regular dwellings (dwelling category 1) made up of one single room serving as a shared room, with some kitchen facilities (sink, stove, etc.). In the city, it is frequent to find some places (furnished bedrooms, for example) made up of a single room (dwelling category 1, 2 or 3). In all these cases, you will answer 1 for question 3 (number of rooms in the dwelling) and you will check box NO (no kitchen) for question 1 ("Do you have a kitchen?"). In the case of the furnished bedroom where someone has installed a simple portable stove and where there is no sink, you will complete the answer question 6 by checking the numbered box 6 (No) and not box numbered 5. According to the rules above, for all dwellings consisting of at least one room for living you should never have a blank response to question 3. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates whether the dwelling has a kitchen and its size range, when it corresponds. 0 NIU (not in universe) 1 Kitchen of less than 7 sqr meters 2 Kitchen of less than 7 to 12 sqr meters 3 Kitchen of more than 12 sqr meters 4 No kitchen but installation for cooking 5 No kitchen and no installation for cooking Dwelling Characteristics Variables -- HOUSEHOLD Electrical supply for the building <svar a="all" v="FR68A011">8. Electricity <div class="i1">Is the building connected to an electricity distribution network? [] 1 Yes [] 2 No</div> </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates whether the dwelling is connected to an electric line or not. 0 NIU (not in universe) 1 Building not connected to an electric line 2 Building connected to an electric line Utilities Variables -- HOUSEHOLD Drainage of toilets <svar a="all" v="FR68A012 FR68A013">9. Drainage from bathrooms and household water <div class="i1">9a. Toilets [] 1 Direct connection to the sewer (without passing through a septic tank) [] 2 Septic tank. [] 3 Cesspit (with or without period draining). 9b. Household water (sink, laundry, hygiene, etc.). [] 1 Direct connection to sewer [] 2 Other cases (gutter, ditch, sump, etc.)</div> </svar> <svar a="all" v="FR68A012 FR68A013">3.3.6. Question 9: Drainage of lavatories and household water. Check one single box among the four choice in question 9a and one single box among the two in question 9b. Do not check box 1 in either question when there is, in your district, some sewers made to receive the waste water from the lavatories and used household water. City hall must inform you of the existence and the characteristics of the sewer system. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the type of drainage of the toilets. 0 NIU (not in universe) 1 Direct connection to the sewer (w/o passing through a septic tank) 2 Septic tank 3 Pit 4 Other Utilities Variables -- HOUSEHOLD Drainage of domestic water <svar a="all" v="FR68A012 FR68A013">9. Drainage from bathrooms and household water <div class="i1">9a. Toilets [] 1 Direct connection to the sewer (without passing through a septic tank) [] 2 Septic tank. [] 3 Cesspit (with or without period draining). 9b. Household water (sink, laundry, hygiene, etc.). [] 1 Direct connection to sewer [] 2 Other cases (gutter, ditch, sump, etc.)</div> </svar> <svar a="all" v="FR68A012 FR68A013">3.3.6. Question 9: Drainage of lavatories and household water. Check one single box among the four choice in question 9a and one single box among the two in question 9b. Do not check box 1 in either question when there is, in your district, some sewers made to receive the waste water from the lavatories and used household water. City hall must inform you of the existence and the characteristics of the sewer system. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the dwelling's type of drainage of domestic water. 0 NIU (not in universe) 1 Direct connection to the sewer 2 Other cases (gutter, pit, sump, etc.) Utilities Variables -- HOUSEHOLD Number of floors in a building <svar a="all" v="FR68A014">3a. ___ Number of floors above the ground floor: Including the attic garrets. Do not count cellars or basements. The heightened basement is considered an ordinary basement, but the mezzanine counts as a floor. If there are several groups of buildings, indicate the number of floors of the highest buildings. </svar> <svar a="all" v="FR68A014">3.3.3. Question 3: Number of floor above the ground floor. For question 3a, refer to the house form. For question 3b, count the levels situated above the ground, under the principal structure: cellars, basements, etc. The answer to this question is generally 0 or 1, or, 2 in exceptional cases. The basement must never be counted in the answers to questions 3a or 3b. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the number of floors in the dwelling's building. 00 1 01 2 02 3 03 4 04 5 05 6 06 7 07 8 08 9 09 10 + 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Gas supply to the dwelling <svar a="all" v="FR68A015">4.3.4 Question 6: Gas Supply. Boxes 1 and 2 can both be checked here (dwelling connected to a public gas main but whose occupants use, at least in part, bottled gas). Box 1 will not be checked except if the dwelling is connected through a pipe to a public distribution network (the occupants can have or not have a contract subscription at the time of the census). </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the dwellings gas supply. 0 NIU (not in universe) 1 Connected to gas mains 2 Connected to gas mains and also use of bottled gas 3 Use of bottled gas exclusively 4 Neither connected to gas mains nor use of bottled gas Utilities Variables -- HOUSEHOLD Supply of gas to the building <svar a="all" v="FR68A016">6. Gas Boxes 1 and 2 can, depending on the situation, are both to be marked <div class="i1">[] 1 Dwelling connected to a public distribution network (city gas, Lacq gas, etc.) [] 2 Use of bottled gas (butane, propane, etc.). [] 3 Neither connected to a public network nor bottled gas</div> </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the supply of gas to the building where the dwelling is located. 0 NIU (not in universe) 1 Building not connecteded to gas mains 2 Building connecteded to gas mains Utilities Variables -- HOUSEHOLD Number of rooms in a dwelling (kitchen not included) <svar a="FR68A017" v="FR68A017 FR68A018 FR68A035">3. Number of dwelling accommodation: not including the kitchen or rooms exclusively for professional use Count as dwelling places rooms such as the bedroom, dining room, salon, common room, studio, living room, etc. whatever their surface area, as well the maid's room and attic garrets. Do not count as dwelling places rooms such as entranceways, hall, bathroom, closet, alcove, W.C., laundry, office, etc. Special case of independent rooms (for example: maid's room separated from the main dwelling) Count these rooms amongst your dwelling places if you use them yourself (either for housing a member of your household: child, servant, etc.; or as a storage room, etc.) Do not count them if they are rented, sublet, or leased to other people. In this last case, they constitute, in the meaning of the census, a distinct dwelling and their occupants will fill out a new dwelling form. </svar> <svar a="all" v="FR68A010 FR68A017 FR68A018">3.1 Questions 1 and 3: Characteristics and existence of the kitchen, number of rooms. The same room should never be counted at the same time in response to question 1 and in the answer to question 3. It should be counted in question 1 if it is considered a kitchen (answer Yes to question 1), and to question 3 if it is considered as a room in a dwelling. In some dwellings, there is no separation (or there is a removable partition) between the two "rooms", (for example the dining room and the living room). In such a case, you will count it as two rooms if there is a partition and one single room if there is no partition. The case of the dwelling consisting of one single room It in the country that you may often encounter some regular dwellings (dwelling category 1) made up of one single room serving as a shared room, with some kitchen facilities (sink, stove, etc.). In the city, it is frequent to find some places (furnished bedrooms, for example) made up of a single room (dwelling category 1, 2 or 3). In all these cases, you will answer 1 for question 3 (number of rooms in the dwelling) and you will check box NO (no kitchen) for question 1 ("Do you have a kitchen?"). In the case of the furnished bedroom where someone has installed a simple portable stove and where there is no sink, you will complete the answer question 6 by checking the numbered box 6 (No) and not box numbered 5. According to the rules above, for all dwellings consisting of at least one room for living you should never have a blank response to question 3. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the dwelling's number of rooms, excluding the kitchen. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 + Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms in a dwelling <svar a="all" v="FR68A018 FR68A035">2. ___ Indicate, if there is space, the number of dwelling rooms having an exclusively professional use (for example: businessman's office, medical or law office, tailor's apartment workshop, etc.) </svar> <svar a="FR68A017" v="FR68A017 FR68A018 FR68A035">3. Number of dwelling accommodation: not including the kitchen or rooms exclusively for professional use Count as dwelling places rooms such as the bedroom, dining room, salon, common room, studio, living room, etc. whatever their surface area, as well the maid's room and attic garrets. Do not count as dwelling places rooms such as entranceways, hall, bathroom, closet, alcove, W.C., laundry, office, etc. Special case of independent rooms (for example: maid's room separated from the main dwelling) Count these rooms amongst your dwelling places if you use them yourself (either for housing a member of your household: child, servant, etc.; or as a storage room, etc.) Do not count them if they are rented, sublet, or leased to other people. In this last case, they constitute, in the meaning of the census, a distinct dwelling and their occupants will fill out a new dwelling form. </svar> <svar a="all" v="FR68A010 FR68A017 FR68A018">3.1 Questions 1 and 3: Characteristics and existence of the kitchen, number of rooms. The same room should never be counted at the same time in response to question 1 and in the answer to question 3. It should be counted in question 1 if it is considered a kitchen (answer Yes to question 1), and to question 3 if it is considered as a room in a dwelling. In some dwellings, there is no separation (or there is a removable partition) between the two "rooms", (for example the dining room and the living room). In such a case, you will count it as two rooms if there is a partition and one single room if there is no partition. The case of the dwelling consisting of one single room It in the country that you may often encounter some regular dwellings (dwelling category 1) made up of one single room serving as a shared room, with some kitchen facilities (sink, stove, etc.). In the city, it is frequent to find some places (furnished bedrooms, for example) made up of a single room (dwelling category 1, 2 or 3). In all these cases, you will answer 1 for question 3 (number of rooms in the dwelling) and you will check box NO (no kitchen) for question 1 ("Do you have a kitchen?"). In the case of the furnished bedroom where someone has installed a simple portable stove and where there is no sink, you will complete the answer question 6 by checking the numbered box 6 (No) and not box numbered 5. According to the rules above, for all dwellings consisting of at least one room for living you should never have a blank response to question 3. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the total number of rooms available in the dwelling. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 + Dwelling Characteristics Variables -- HOUSEHOLD Density of dwelling France 1968: Private ordinary dwellings [discrepancies: none] This variable is a constructed variable that indicates the degree to which the dwelling is occupied. 1 Pronounced under-population 2 Moderate under-population 3 Normal population 4 Moderate overpopulation 5 Pronounced overpopulation 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Bathing facilities <svar a="all" v="FR68A021">7. Sanitary installations: Do you have a bathtub or a shower installed with running water and drain? <div class="i1">[] 1 Yes [] 2 No</div> </svar> <svar a="all" v="FR68A021">4.3.5. Question 7: Sanitary facilities You will only take note of facilities to the exclusive use of the occupants of the dwelling. Thus, for a hotel, you will check box 3 (not bathtub, not shower) for a shower or bathroom shared by all the furnished bedrooms of a floor (dwelling category 3). </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates if the dwelling has a bathtub, shower, or both. 0 NIU (not in universe) 1 No bathtub, no shower 2 Bathtub or shower (installed with running water and drainage of waste water) Dwelling Characteristics Variables -- HOUSEHOLD Dwelling number in the building <svar a="all" v="FR68A022 FR68A033">To be filled out by the census agent ___1 Dwelling number* ___2 Location in the building** (stairs, floor, situation on the stairway platform, apartment or bedroom number, etc.) ___3 Name of the occupant ___4 Dwelling category (1 to 7) see FL ___5 Number of number 2 forms (list A only) **** </svar> France 1968: All households This variable indicates the dwelling's number in the building. 000 0 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 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 Unknown Technical Household Variables -- HOUSEHOLD Primary materials in the walls <svar a="all" v="FR68A023 FR68A024 FR68A025">2. Main materials <div class="i1">Walls [] 1 Stone, dressed stone, millstone, building stone, brick, hollow brick, cement, chip wood, cinder block [] 2 Other materials such as: wood, wood beams and cob, clay masonry, etc. ____ Specify Roof [] 1 Tile, slate, asbestos or similar material; aluminum, steel, copper, zinc, terrace. [] 2 Other materials such as: straw, sheet metal, flat stone, bitumen, etc.</div> </svar> <svar a="all" v="FR68A023 FR68A024 FR68A025">3.3.2. Question 2: Principal materials Walls: Mark one and only one of the two boxes while making an effort to specify the material or materials used. In more of the materials explicitly numbered in section 2, you will classify the nondurable materials used for temporary structures in this section. For the buildings made of wood, wooden panels and cob, always check box 2 even if this is a durable structure (it is question 1 which will inform others on the subject of the temporary nature or durability of the structure.) [p.20] In a situation where two of the same kinds of materials (section 1 and 2) are used (in the case of farms or agricultural buildings, for example), check the only section corresponding to the kind of material principally employed in the building or the part of the building which is lived in. Roof - The explanations given above for the walls are to be applied as well for the roof. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the main materials in the dwelling's walls. 0 NIU (not in universe) 1 Stone, dressed stone, millstone, building stone, brick, hollow block, cement, chipboard; cinder block coating 2 Other materials such as: wood, wooden panels and cob, etc. Dwelling Characteristics Variables -- HOUSEHOLD Primary materials in the roof <svar a="all" v="FR68A023 FR68A024 FR68A025">2. Main materials <div class="i1">Walls [] 1 Stone, dressed stone, millstone, building stone, brick, hollow brick, cement, chip wood, cinder block [] 2 Other materials such as: wood, wood beams and cob, clay masonry, etc. ____ Specify Roof [] 1 Tile, slate, asbestos or similar material; aluminum, steel, copper, zinc, terrace. [] 2 Other materials such as: straw, sheet metal, flat stone, bitumen, etc.</div> </svar> <svar a="all" v="FR68A023 FR68A024 FR68A025">3.3.2. Question 2: Principal materials Walls: Mark one and only one of the two boxes while making an effort to specify the material or materials used. In more of the materials explicitly numbered in section 2, you will classify the nondurable materials used for temporary structures in this section. For the buildings made of wood, wooden panels and cob, always check box 2 even if this is a durable structure (it is question 1 which will inform others on the subject of the temporary nature or durability of the structure.) [p.20] In a situation where two of the same kinds of materials (section 1 and 2) are used (in the case of farms or agricultural buildings, for example), check the only section corresponding to the kind of material principally employed in the building or the part of the building which is lived in. Roof - The explanations given above for the walls are to be applied as well for the roof. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the main materials in the dwelling's roof. 0 NIU (not in universe) 1 Canvas, slate; asbestos or equivalent material; aluminum, steel, brass, zinc, and flat roof 2 Other materials such as: straw, corrugated sheet metal, flat stone, cardboard, asphalt, etc. Dwelling Characteristics Variables -- HOUSEHOLD Primary materials for the walls and roof <svar a="all" v="FR68A023 FR68A024 FR68A025">2. Main materials <div class="i1">Walls [] 1 Stone, dressed stone, millstone, building stone, brick, hollow brick, cement, chip wood, cinder block [] 2 Other materials such as: wood, wood beams and cob, clay masonry, etc. ____ Specify Roof [] 1 Tile, slate, asbestos or similar material; aluminum, steel, copper, zinc, terrace. [] 2 Other materials such as: straw, sheet metal, flat stone, bitumen, etc.</div> </svar> <svar a="all" v="FR68A023 FR68A024 FR68A025">3.3.2. Question 2: Principal materials Walls: Mark one and only one of the two boxes while making an effort to specify the material or materials used. In more of the materials explicitly numbered in section 2, you will classify the nondurable materials used for temporary structures in this section. For the buildings made of wood, wooden panels and cob, always check box 2 even if this is a durable structure (it is question 1 which will inform others on the subject of the temporary nature or durability of the structure.) [p.20] In a situation where two of the same kinds of materials (section 1 and 2) are used (in the case of farms or agricultural buildings, for example), check the only section corresponding to the kind of material principally employed in the building or the part of the building which is lived in. Roof - The explanations given above for the walls are to be applied as well for the roof. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the main materials for the dwelling's walls and roof. 0 NIU (not in universe) 1 Hard walls and roof materials 2 Other cases Dwelling Characteristics Variables -- HOUSEHOLD Number of children in the dwelling <svar a="all" v="FR68A026 FR68A029 FR68A031 FR68A040">Fill out an individual form number 2 for each person on list A ___ 1 Last name (for a woman, add the maiden name) ___ 2 First name ___ 3 Relationship to the head of household (indicate for example: Head of household, spouse, son, mother, daughter-in-law, nephew, etc. Or even: friend, boarder, subletter, maid, housed employee, etc.) <div class="i1">___ 1 ___ 2 ___ 3 ___ 4 ___ 5 ___ 6 ___ 7 ___ 8 ___ 9 ___ 10 ___ 11 ___ 12 ___ 13 ___ 14 ___ 15</div> If there are more than 15 people to record, use an additional dwelling form. </svar> France 1968: Private dwellings, including mobile homes [discrepancies: none] This variable indicates the number of kids in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 + 99 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Number of agricultural units in the dwelling <svar a="all" v="FR68A027 FR68A037 FR68A047 FR68A048 FR68A049 FR68A053 FR68A056 FR68A057">11. Farms <div class="i1">Is this building the center of one (or more) farm(s)? [] Yes [] No If yes: First farm a. ____ First and last name of the farmer: b. Acreage (Do not count woods, meadows, undergrowth ,quarries, pools, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more c. Specialization: If the farm has a surface area of less than 5 hectares, indicate its specialization: [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized Second Farm a. First and last name of the farmer: b. Acreage ( do not count woods, meadows, undergrowth, quarries, ponds, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more. c. Specialization If the farm has a surface area of less than 5 hectares, indicate its specialization [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized</div> </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the number of agricultural units in the dwelling. 0 0 1 1 2 2 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Number of families in the household France 1968: All households This variable indicates the number of households in the dwelling, where a household is a unit with one or more related persons. All collective dwellings are classified as having zero families. 0 0 1 1 2 2 3 3 Constructed Household Variables -- HOUSEHOLD Primary family in the household <svar a="all" v="FR68A026 FR68A029 FR68A031 FR68A040">Fill out an individual form number 2 for each person on list A ___ 1 Last name (for a woman, add the maiden name) ___ 2 First name ___ 3 Relationship to the head of household (indicate for example: Head of household, spouse, son, mother, daughter-in-law, nephew, etc. Or even: friend, boarder, subletter, maid, housed employee, etc.) <div class="i1">___ 1 ___ 2 ___ 3 ___ 4 ___ 5 ___ 6 ___ 7 ___ 8 ___ 9 ___ 10 ___ 11 ___ 12 ___ 13 ___ 14 ___ 15</div> If there are more than 15 people to record, use an additional dwelling form. </svar> France 1968: All households This variable indicates the number of main households in the dwelling. All collective dwellings are classified as not having a main household. 0 No primary family 1 Has primary family Constructed Household Variables -- HOUSEHOLD Number of secondary households in the household France 1968: All households This variable indicates the number of secondary households in the dwelling. All collective dwellings are classified as not having a secondary household. 0 0 secondary families 1 1 secondary family 2 2 secondary families Constructed Household Variables -- HOUSEHOLD Number of people in the dwelling <svar a="all" v="FR68A026 FR68A029 FR68A031 FR68A040">Fill out an individual form number 2 for each person on list A ___ 1 Last name (for a woman, add the maiden name) ___ 2 First name ___ 3 Relationship to the head of household (indicate for example: Head of household, spouse, son, mother, daughter-in-law, nephew, etc. Or even: friend, boarder, subletter, maid, housed employee, etc.) <div class="i1">___ 1 ___ 2 ___ 3 ___ 4 ___ 5 ___ 6 ___ 7 ___ 8 ___ 9 ___ 10 ___ 11 ___ 12 ___ 13 ___ 14 ___ 15</div> If there are more than 15 people to record, use an additional dwelling form. </svar> France 1968: Private dwellings, including mobile homes [discrepancies: none] This variable indicates the number of people in the dwelling. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 + Technical Household Variables -- HOUSEHOLD Number of people in the restricted dwelling France 1968: Private dwellings, including mobile homes [discrepancies: none] This variable indicates the number of persons in the restricted dwelling. A "restricted dwelling" excludes paid domestic service. 0 NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 + Constructed Household Variables -- HOUSEHOLD Number of dwellings in the building <svar a="all" v="FR68A022 FR68A033">To be filled out by the census agent ___1 Dwelling number* ___2 Location in the building** (stairs, floor, situation on the stairway platform, apartment or bedroom number, etc.) ___3 Name of the occupant ___4 Dwelling category (1 to 7) see FL ___5 Number of number 2 forms (list A only) **** </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the number of dwellings in the building. 00 NIU (not in universe) 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 Technical Household Variables -- HOUSEHOLD Number of dwellings in the building in the sample France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the number of dwellings in the building in the sample. [Samples in 1/20 and in 1/4 were acquired by systematic printing of accommodation; as a result when a building contains several accommodations, these do not all appear in the sample] 00 NIU (not in universe) 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 15 15 16 16 18 18 22 22 29 29 Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms in the dwelling <svar a="all" v="FR68A018 FR68A035">2. ___ Indicate, if there is space, the number of dwelling rooms having an exclusively professional use (for example: businessman's office, medical or law office, tailor's apartment workshop, etc.) </svar> France 1968: Private dwellings, including mobile homes [discrepancies: none] This variable indicates the number of rooms in the dwelling. 0 NIU (not in universe) 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 + Dwelling Characteristics Variables -- HOUSEHOLD Number of people in the dwelling France 1968: All households This variable indicates the number of persons in the dwelling. 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 Technical Household Variables -- HOUSEHOLD Number of farms belonging to a household in the dwelling <svar a="all" v="FR68A027 FR68A037 FR68A047 FR68A048 FR68A049 FR68A053 FR68A056 FR68A057">11. Farms <div class="i1">Is this building the center of one (or more) farm(s)? [] Yes [] No If yes: First farm a. ____ First and last name of the farmer: b. Acreage (Do not count woods, meadows, undergrowth ,quarries, pools, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more c. Specialization: If the farm has a surface area of less than 5 hectares, indicate its specialization: [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized Second Farm a. First and last name of the farmer: b. Acreage ( do not count woods, meadows, undergrowth, quarries, ponds, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more. c. Specialization If the farm has a surface area of less than 5 hectares, indicate its specialization [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized</div> </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the number of farms that belong to a household in the dwelling. 0 0 1 1 2 2 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Water supply in the dwelling <svar a="all" v="FR68A038">5. Water source <div class="i1">Water running in the dwelling [] 1 Cold water only [] 2 One or more hot water valves. (individual hot water or shared heater) [] 3 No running water in the dwelling but water point inside the house (or the same floor or another floor) [] 4 Water valve outside the house (faucet or pump in the yard, a well, fire hydrant, etc.</div> </svar> <svar a="all" v="FR68A038">4.3.3. Question 5: Water supply You will check one and only one of the four boxes. Box 1 corresponds to the situation where at least one faucet provides hot water (water heater or shared supply). </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the availability of running water in the dwelling. 1 Running water in the dwelling: one or several hot water faucets 2 Running water in the dwelling: cold water only 3 No running water in the dwelling but water faucet inside the house 4 Water faucet outside of the house 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Water source for domestic use <svar a="all" v="FR68A039">6. Water source for domestic use. <div class="i1">Public supply [] 1 Building connected to a collective network of distribution (city; village; service of waters; plant, etc) [] 2 Fire hydrant, fountain, source or public wells Well, tank, fountain, or private source [] 3 With pipe connection in the building [] 4 Without a pipe connection in the building</div> </svar> <svar a="all" v="FR68A039">3.3.5. Question 6: Water source for domestic use. Do not count anything but water for domestic use (especially for the kitchen) and not water used for gardening, feeding cattle, etc. Check box 1 (public supply) or box 3 (private supply) the case where a building connected to a shared water main or box 2 (building connected by way of a pipe to a water extension) in the situation where a pipe brings water inside of a building; check box 2 or box 4 when the water must be carried in. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the source of drinking water for the dwelling. 1 Public supplying: water main serving the building (city, town, water service, factory, etc.) 2 Public supplying: fire hidrant, fountain, spring, public well 3 Well, cistern, foutain or private spring: with connection to a building by pipes 4 Well, cistern, foutain or private spring: without connection to a building by pipes 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Spouse of the head of household present <svar a="all" v="FR68A026 FR68A029 FR68A031 FR68A040">Fill out an individual form number 2 for each person on list A ___ 1 Last name (for a woman, add the maiden name) ___ 2 First name ___ 3 Relationship to the head of household (indicate for example: Head of household, spouse, son, mother, daughter-in-law, nephew, etc. Or even: friend, boarder, subletter, maid, housed employee, etc.) <div class="i1">___ 1 ___ 2 ___ 3 ___ 4 ___ 5 ___ 6 ___ 7 ___ 8 ___ 9 ___ 10 ___ 11 ___ 12 ___ 13 ___ 14 ___ 15</div> If there are more than 15 people to record, use an additional dwelling form. </svar> France 1968: All households This variable indicates whether the spouse of the head of the household is present. Collective dwellings are classified as not having a spouse of the head of the household present. 1 No spouse 2 Spouse Constructed Household Variables -- HOUSEHOLD Weight of the building France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the weight of the building according to the following rule: the variable is equal to 1 if the number of dwellings in the building is larger than or equal to 20, and 20 divided by the number of dwellings in the building if the number of dwellings in the building is less than 20. 00 NIU (not in universe) 01 1 02 2 03 3 04 4 05 5 06 6 07 7 10 10 20 20 Technical Household Variables -- HOUSEHOLD First dwelling in the building France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates if the dwellings is the first one in the building. 0 NIU (not in universe) 1 Other dwelling in the building 2 First dwelling in the building (dwelling serving to make statistics of the building) Technical Household Variables -- HOUSEHOLD Ownership <svar a="all" v="FR68A046">4. Are you <div class="i1">[] 1 owner of the house or the building where your dwelling is found? including various forms of access to your property (including sale or rent) [] 2 owner of your dwelling in a condominium? [] 3 housed by your employer (for free or for a fee) for the duration of your work function or work contract? [] 4 housed for free, for example by parents? (including the case of people occupying a dwelling that they have sold for life annuity). [] 5 renter or subletter of an empty rented space? [] 6 renter or subletter of a furnished rented space, a hotel room, or furnished apartment? ___ If you are in a case not provided above, describe it:</div> </svar> <svar a="all" v="FR68A045">4.3.2 Question 4: Occupational status. Question 4 should receive one single answer among the five answer choices proposed. Boxes 1 and 2: You are to include among the owners the people who had the structure built on credit by a construction company whether or not the payment has been met or not. In box 1: - the owners of a private house living there; - the owners of the whole residential building of in which they live in one of the apartments; [p.27] Box 2: This category is only for residential buildings under joint ownership or owned by a company (1) For such buildings, you are to include in this category the dwellings where their joint owners live (or members of the company). The beneficiaries to a will living on a property in joint ownership should not be classified in this category. These people should be counted in box 1. Box 3: The people who should be included in this category are those who work and who are lodged there by their owner for free or for a fee, and for whom the dwelling is a part of their work contract binding the owner and the paid employee (that is to say that, if the person changes employers, he/she must leave that dwelling). Examples: teacher having professional accommodations, stationmaster, concierge or caretaker of a factory living within factory property, etc. These people especially are to be excluded and classified in box 4: - people, for example, retirees, having kept their former professional accommodation. - renters of a dwelling belonging to their employer, but for which the dwelling is not mentioned in the work contract and which could be, as a consequence, kept when changing employer. Box 5: You will check this box for all renters, people subletting in an unfurnished rented local, with the exception of those lodged there by their employer (box 3). </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the occupational status of the dwelling (e.g., owned, rented, occupied for free). 1 Owner of the house or the building 2 Owner of the dwellings in a house by joint ownership 3 Lodged there by permission of the employer (for free) for the length of the work contract 4 Lodged there for free 5 Renter or person subletting an unfurnished rented place 6 Renter or person subletting a furnished rented place (including the case of hotel rooms and furnished rooms) 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Number of basements in the building France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the number of basements in the building were the dwelling is located. 0 No basement 1 1 basement 2 2 basements 3 3 basements 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Farmland assigned to dwelling <svar a="all" v="FR68A027 FR68A037 FR68A047 FR68A048 FR68A049 FR68A053 FR68A056 FR68A057">11. Farms <div class="i1">Is this building the center of one (or more) farm(s)? [] Yes [] No If yes: First farm a. ____ First and last name of the farmer: b. Acreage (Do not count woods, meadows, undergrowth ,quarries, pools, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more c. Specialization: If the farm has a surface area of less than 5 hectares, indicate its specialization: [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized Second Farm a. First and last name of the farmer: b. Acreage ( do not count woods, meadows, undergrowth, quarries, ponds, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more. c. Specialization If the farm has a surface area of less than 5 hectares, indicate its specialization [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized</div> </svar> 3.3.8. Question 11: Farms. a. Definition of a farm. You will define a farm as: <div class="i1">1) All kinds of earth, no matter what the land surface, with the purpose of agricultural plant or animal production, under the direction of a person practicing an agricultural profession, truck farmer, arborist, or, more generally, all other professions implying the cultivation of land; 2) All kinds of cultivated earth (with the exception of woods, moors, building land, parks and flower gardens) having one hectare of land if this is about mixed farming (workable lands, prairies, crops), or at least 20 acres if this is about specialized crops (marketable crops, fruit trees, flowers, vines, etc.) and that no matter what the main activity of the person who farms it. 3) Most often, but this is not necessarily the case, such a farm is managed by a person who will declare an agricultural profession on question 12 of his/her individual form (main profession) acting as owner/farmer, farmer, or share cropper (rubric 2 in question 14 of the individual form).</div>However, the management of a farm (in the larger meaning of the second paragraph above) could be a secondary occupation or secondary for the people having declared other principal occupations in question 12 of their individual form (factory workers, merchants or rural artisans, etc.). It might even happen that the person who manages such a farm declares himself without a profession (retired, retired from business, etc.). b. Center of agricultural production You will consider, according to the case, as the center of agricultural production of which all or only part of the buildings is found on the territory of your district and is the subject of the one (or several) house forms filled out by you. (1) - the farmer's residence: owner (direct emphasis), farmer, sharecropper or paid manager, if he lives in the town (where his dwelling is found, among the agricultural buildings considered or, on the other hand, outside that area, provided that it is found on the territory of that town.) - The principal agricultural building, if the farmer resides outside of the town and if, furthermore, on the territory of his/her town where he resides, the farmer does not have any agricultural building. c. Procedure to follow In theory, a building (or group of buildings) being the subject of a type 1 house form on question 1 (farm, agricultural buildings) is always an agricultural center (answer yes to question 11), except in the two following cases: - the farmer lives outside the area where the agricultural buildings are found but nevertheless in the town (in your district or in another district of the town); - the farmer resides outside the town and, on the territory of his/her town of residence, he has other agricultural buildings. Opposite of the first of these two cases listed above, you will not forget to consider as an agricultural center (answer yes to question 11 of the corresponding house form) the farmer's dwelling (even if he declared a non- agricultural profession in question 12 of his/her individual form, or again, has declared to be without a profession or retired) who resides, in your district, outside of the area where the agricultural buildings of his farm are located, on the condition, however, that the buildings are located, all or in part, on the territory of the town. [Footnote] (1) Remember that you should not establish a house form for a construction which is not very important: gardening shed, isolated hangar, etc. [p.22] A farm having its center in your district can extend onto other districts and even onto neighboring towns. The surface are which you will indicate on the house form corresponding to the center (in question 11) is the total surface area of the farm. On the other hand, if you only find plots that are not built (1) on a farm whose center is located in another district, you do not have to do anything about this farm: it will be mentioned by the census agent of that other district, on the house form corresponding to the center. In order to allow you to find the agricultural centers of your district without missing any of them, city hall will probably give you the list. If not, you can use the file of the farms held by city hall. In any case, you should check the indications of this list or the file and bring them up- to- date (the appearance or disappearance of farms can escape notice by city hall; the surface areas may have changed). [Footnote] (1) This means not containing any counted building (see the footnote of the preceding page). France 1968: Private ordinary dwellings with at least one assigned farm [discrepancies: none] This variable indicates the extension of farmland assigned to the dwelling. 0 NIU (not in universe) 1 Less than 1 hectare 2 1 to less than 5 hectares 3 5 to less than 10 hectares 4 10 to less than 15 hectares 5 15 to less than 20 hectares 6 20 to less than 50 hectares 7 50 hectares or more 9 Not declared Household Economic Variables -- HOUSEHOLD Size of the first farm <svar a="all" v="FR68A027 FR68A037 FR68A047 FR68A048 FR68A049 FR68A053 FR68A056 FR68A057">11. Farms <div class="i1">Is this building the center of one (or more) farm(s)? [] Yes [] No If yes: First farm a. ____ First and last name of the farmer: b. Acreage (Do not count woods, meadows, undergrowth ,quarries, pools, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more c. Specialization: If the farm has a surface area of less than 5 hectares, indicate its specialization: [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized Second Farm a. First and last name of the farmer: b. Acreage ( do not count woods, meadows, undergrowth, quarries, ponds, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more. c. Specialization If the farm has a surface area of less than 5 hectares, indicate its specialization [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized</div> </svar> 3.3.8. Question 11: Farms. a. Definition of a farm. You will define a farm as: <div class="i1">1) All kinds of earth, no matter what the land surface, with the purpose of agricultural plant or animal production, under the direction of a person practicing an agricultural profession, truck farmer, arborist, or, more generally, all other professions implying the cultivation of land; 2) All kinds of cultivated earth (with the exception of woods, moors, building land, parks and flower gardens) having one hectare of land if this is about mixed farming (workable lands, prairies, crops), or at least 20 acres if this is about specialized crops (marketable crops, fruit trees, flowers, vines, etc.) and that no matter what the main activity of the person who farms it. 3) Most often, but this is not necessarily the case, such a farm is managed by a person who will declare an agricultural profession on question 12 of his/her individual form (main profession) acting as owner/farmer, farmer, or share cropper (rubric 2 in question 14 of the individual form).</div>However, the management of a farm (in the larger meaning of the second paragraph above) could be a secondary occupation or secondary for the people having declared other principal occupations in question 12 of their individual form (factory workers, merchants or rural artisans, etc.). It might even happen that the person who manages such a farm declares himself without a profession (retired, retired from business, etc.). b. Center of agricultural production You will consider, according to the case, as the center of agricultural production of which all or only part of the buildings is found on the territory of your district and is the subject of the one (or several) house forms filled out by you. (1) - the farmer's residence: owner (direct emphasis), farmer, sharecropper or paid manager, if he lives in the town (where his dwelling is found, among the agricultural buildings considered or, on the other hand, outside that area, provided that it is found on the territory of that town.) - The principal agricultural building, if the farmer resides outside of the town and if, furthermore, on the territory of his/her town where he resides, the farmer does not have any agricultural building. c. Procedure to follow In theory, a building (or group of buildings) being the subject of a type 1 house form on question 1 (farm, agricultural buildings) is always an agricultural center (answer yes to question 11), except in the two following cases: - the farmer lives outside the area where the agricultural buildings are found but nevertheless in the town (in your district or in another district of the town); - the farmer resides outside the town and, on the territory of his/her town of residence, he has other agricultural buildings. Opposite of the first of these two cases listed above, you will not forget to consider as an agricultural center (answer yes to question 11 of the corresponding house form) the farmer's dwelling (even if he declared a non- agricultural profession in question 12 of his/her individual form, or again, has declared to be without a profession or retired) who resides, in your district, outside of the area where the agricultural buildings of his farm are located, on the condition, however, that the buildings are located, all or in part, on the territory of the town. [Footnote] (1) Remember that you should not establish a house form for a construction which is not very important: gardening shed, isolated hangar, etc. [p.22] A farm having its center in your district can extend onto other districts and even onto neighboring towns. The surface are which you will indicate on the house form corresponding to the center (in question 11) is the total surface area of the farm. On the other hand, if you only find plots that are not built (1) on a farm whose center is located in another district, you do not have to do anything about this farm: it will be mentioned by the census agent of that other district, on the house form corresponding to the center. In order to allow you to find the agricultural centers of your district without missing any of them, city hall will probably give you the list. If not, you can use the file of the farms held by city hall. In any case, you should check the indications of this list or the file and bring them up- to- date (the appearance or disappearance of farms can escape notice by city hall; the surface areas may have changed). [Footnote] (1) This means not containing any counted building (see the footnote of the preceding page). France 1968: Private ordinary dwellings with at least one farm [discrepancies: none] This variable indicates the size of the first farm (agricultural unit) of the dwelling. 1 Less than 1 hectare 2 1 to less than 5 hectares 3 5 to less than 10 hectares 4 10 to less than 15 hectares 5 15 to less than 20 hectares 6 20 to less than 50 hectares 7 50 hectares or more 8 Not declared 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Size of the second farm <svar a="all" v="FR68A027 FR68A037 FR68A047 FR68A048 FR68A049 FR68A053 FR68A056 FR68A057">11. Farms <div class="i1">Is this building the center of one (or more) farm(s)? [] Yes [] No If yes: First farm a. ____ First and last name of the farmer: b. Acreage (Do not count woods, meadows, undergrowth ,quarries, pools, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more c. Specialization: If the farm has a surface area of less than 5 hectares, indicate its specialization: [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized Second Farm a. First and last name of the farmer: b. Acreage ( do not count woods, meadows, undergrowth, quarries, ponds, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more. c. Specialization If the farm has a surface area of less than 5 hectares, indicate its specialization [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized</div> </svar> 3.3.8. Question 11: Farms. a. Definition of a farm. You will define a farm as: <div class="i1">1) All kinds of earth, no matter what the land surface, with the purpose of agricultural plant or animal production, under the direction of a person practicing an agricultural profession, truck farmer, arborist, or, more generally, all other professions implying the cultivation of land; 2) All kinds of cultivated earth (with the exception of woods, moors, building land, parks and flower gardens) having one hectare of land if this is about mixed farming (workable lands, prairies, crops), or at least 20 acres if this is about specialized crops (marketable crops, fruit trees, flowers, vines, etc.) and that no matter what the main activity of the person who farms it. 3) Most often, but this is not necessarily the case, such a farm is managed by a person who will declare an agricultural profession on question 12 of his/her individual form (main profession) acting as owner/farmer, farmer, or share cropper (rubric 2 in question 14 of the individual form).</div>However, the management of a farm (in the larger meaning of the second paragraph above) could be a secondary occupation or secondary for the people having declared other principal occupations in question 12 of their individual form (factory workers, merchants or rural artisans, etc.). It might even happen that the person who manages such a farm declares himself without a profession (retired, retired from business, etc.). b. Center of agricultural production You will consider, according to the case, as the center of agricultural production of which all or only part of the buildings is found on the territory of your district and is the subject of the one (or several) house forms filled out by you. (1) - the farmer's residence: owner (direct emphasis), farmer, sharecropper or paid manager, if he lives in the town (where his dwelling is found, among the agricultural buildings considered or, on the other hand, outside that area, provided that it is found on the territory of that town.) - The principal agricultural building, if the farmer resides outside of the town and if, furthermore, on the territory of his/her town where he resides, the farmer does not have any agricultural building. c. Procedure to follow In theory, a building (or group of buildings) being the subject of a type 1 house form on question 1 (farm, agricultural buildings) is always an agricultural center (answer yes to question 11), except in the two following cases: - the farmer lives outside the area where the agricultural buildings are found but nevertheless in the town (in your district or in another district of the town); - the farmer resides outside the town and, on the territory of his/her town of residence, he has other agricultural buildings. Opposite of the first of these two cases listed above, you will not forget to consider as an agricultural center (answer yes to question 11 of the corresponding house form) the farmer's dwelling (even if he declared a non- agricultural profession in question 12 of his/her individual form, or again, has declared to be without a profession or retired) who resides, in your district, outside of the area where the agricultural buildings of his farm are located, on the condition, however, that the buildings are located, all or in part, on the territory of the town. [Footnote] (1) Remember that you should not establish a house form for a construction which is not very important: gardening shed, isolated hangar, etc. [p.22] A farm having its center in your district can extend onto other districts and even onto neighboring towns. The surface are which you will indicate on the house form corresponding to the center (in question 11) is the total surface area of the farm. On the other hand, if you only find plots that are not built (1) on a farm whose center is located in another district, you do not have to do anything about this farm: it will be mentioned by the census agent of that other district, on the house form corresponding to the center. In order to allow you to find the agricultural centers of your district without missing any of them, city hall will probably give you the list. If not, you can use the file of the farms held by city hall. In any case, you should check the indications of this list or the file and bring them up- to- date (the appearance or disappearance of farms can escape notice by city hall; the surface areas may have changed). [Footnote] (1) This means not containing any counted building (see the footnote of the preceding page). France 1968: Private ordinary dwellings with two farms [discrepancies: none] This variable indicates the size of the second farm (agricultural unit) of the dwelling. 1 Less than 1 hectare 2 1 to less than 5 hectares 3 5 to less than 10 hectares 4 10 to less than 15 hectares 5 15 to less than 20 hectares 6 20 to less than 50 hectares 7 50 hectares or more 8 Not declared 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Telephone connection in the dwelling <svar a="all" v="FR68A051">10. Telephone <div class="i1">Is it installed in the dwelling? [] 1 Yes [] 2 No</div> </svar> <svar a="all" v="FR68A050">4.3.7 Question 10: Telephone. The telephone extensions installed in the rooms for professional use only (and counted in question 2 of the housing form) belonging to the dwelling should be considered as installed in the dwelling. [Footnote] (1) In the case of a company- owned building, the actions give right to the life interest of a dwelling. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates whether the dwelling has a telephone connection. 0 NIU (not in universe) 1 Dwelling without telephone 2 Dwelling provided with telephone 3 No answer Utilities Variables -- HOUSEHOLD Type of dwelling <svar a="all" v="FR68A051">3.3.1. Question 1: Type of building. You will check one and only one of the six boxes. Type 1: farm, agricultural buildings. You will classify the buildings used for a farm in this section. Type 2: Make- shift dwellings: This type of dwelling consists of shelters not meant to be used for housing or totally unfit to be lived in but nevertheless are used as abodes. This includes wagons or other immobilized vehicles, immobilized boats impossible to navigate (1), blockhouses, fortifications, shanty town shacks, houses falling into ruin, etc. [Foot note] (1) Barges and tug boats of inland navigation will be counted by agents of navigable waters. You should only count boats which are no longer licensed. Do not count these places unless they are lived in. In the same way, only count the dwellings within them which are occupied. Warning: The buildings built as dwellings but which have become more or less unfit to live in as a normal abode, either through dilapidation or insufficient maintenance, must be classified in sections 5 and 6 as long as they have not fallen into ruin, even if their facility installations do no longer hold up to the modern norms for building facilities. Type 3: Temporary structure. This means structures destined for habitation but having a temporary nature: shacks constructed from devastated dwellings, workers on a temporary building site, etc. Types 5 and 6: The buildings which do not fit with types 1- 4 will be classified in 5 or 6 on the condition that they will be mainly used as abodes or, on the other hand, mainly for industrial, commercial or administrative use, etc. In addition, the houses which contain both one single dwelling and one single professional local (store, shop, artisan's workshop) will be classified in the type 6 category. Do not forget to specify in as much detail as possible, the type of construction, when you check boxes 2 and 6. If you are worried by a special case, describe it at the end of question and you might want to point it out to the delegate. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the dwelling's type (e.g., farm, private dwelling, temporary construction). 0 NIU (not in universe) 1 Farm, agricultural buildings 2 Makeshift dwellings (train car, shantyville shack, building lived in but in ruins, etc.) 3 Temporary construction used as a dwelling 4 Hotel, boarding home, furnished room (occupying all or most of the building) 5 Private house or shared building entirely or mostly used for living 6 Building used mainly for industrial, commercial, or public administration purposes Group Quarters Variables -- HOUSEHOLD Farm status <svar a="all" v="FR68A027 FR68A037 FR68A047 FR68A048 FR68A049 FR68A053 FR68A056 FR68A057">11. Farms <div class="i1">Is this building the center of one (or more) farm(s)? [] Yes [] No If yes: First farm a. ____ First and last name of the farmer: b. Acreage (Do not count woods, meadows, undergrowth ,quarries, pools, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more c. Specialization: If the farm has a surface area of less than 5 hectares, indicate its specialization: [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized Second Farm a. First and last name of the farmer: b. Acreage ( do not count woods, meadows, undergrowth, quarries, ponds, building sites, parks and flower gardens) [] 1 less than one hectare [] 2 1 to less than 5 hectares [] 3 5 to less than 10 hectares [] 4 10 to less than 15 hectares [] 5 15 to less than 20 hectares [] 6 20 to less than 50 hectares [] 7 50 hectares or more. c. Specialization If the farm has a surface area of less than 5 hectares, indicate its specialization [] 1 Viticulture [] 2 Arboriculture [] 3 Market gardening [] 4 Pig farming or aviculture [] 5 Other specializations: ___ Specify [] 6 Farm not specialized</div> </svar> 3.3.8. Question 11: Farms. a. Definition of a farm. You will define a farm as: <div class="i1">1) All kinds of earth, no matter what the land surface, with the purpose of agricultural plant or animal production, under the direction of a person practicing an agricultural profession, truck farmer, arborist, or, more generally, all other professions implying the cultivation of land; 2) All kinds of cultivated earth (with the exception of woods, moors, building land, parks and flower gardens) having one hectare of land if this is about mixed farming (workable lands, prairies, crops), or at least 20 acres if this is about specialized crops (marketable crops, fruit trees, flowers, vines, etc.) and that no matter what the main activity of the person who farms it. 3) Most often, but this is not necessarily the case, such a farm is managed by a person who will declare an agricultural profession on question 12 of his/her individual form (main profession) acting as owner/farmer, farmer, or share cropper (rubric 2 in question 14 of the individual form).</div>However, the management of a farm (in the larger meaning of the second paragraph above) could be a secondary occupation or secondary for the people having declared other principal occupations in question 12 of their individual form (factory workers, merchants or rural artisans, etc.). It might even happen that the person who manages such a farm declares himself without a profession (retired, retired from business, etc.). b. Center of agricultural production You will consider, according to the case, as the center of agricultural production of which all or only part of the buildings is found on the territory of your district and is the subject of the one (or several) house forms filled out by you. (1) - the farmer's residence: owner (direct emphasis), farmer, sharecropper or paid manager, if he lives in the town (where his dwelling is found, among the agricultural buildings considered or, on the other hand, outside that area, provided that it is found on the territory of that town.) - The principal agricultural building, if the farmer resides outside of the town and if, furthermore, on the territory of his/her town where he resides, the farmer does not have any agricultural building. c. Procedure to follow In theory, a building (or group of buildings) being the subject of a type 1 house form on question 1 (farm, agricultural buildings) is always an agricultural center (answer yes to question 11), except in the two following cases: - the farmer lives outside the area where the agricultural buildings are found but nevertheless in the town (in your district or in another district of the town); - the farmer resides outside the town and, on the territory of his/her town of residence, he has other agricultural buildings. Opposite of the first of these two cases listed above, you will not forget to consider as an agricultural center (answer yes to question 11 of the corresponding house form) the farmer's dwelling (even if he declared a non- agricultural profession in question 12 of his/her individual form, or again, has declared to be without a profession or retired) who resides, in your district, outside of the area where the agricultural buildings of his farm are located, on the condition, however, that the buildings are located, all or in part, on the territory of the town. [Footnote] (1) Remember that you should not establish a house form for a construction which is not very important: gardening shed, isolated hangar, etc. [p.22] A farm having its center in your district can extend onto other districts and even onto neighboring towns. The surface are which you will indicate on the house form corresponding to the center (in question 11) is the total surface area of the farm. On the other hand, if you only find plots that are not built (1) on a farm whose center is located in another district, you do not have to do anything about this farm: it will be mentioned by the census agent of that other district, on the house form corresponding to the center. In order to allow you to find the agricultural centers of your district without missing any of them, city hall will probably give you the list. If not, you can use the file of the farms held by city hall. In any case, you should check the indications of this list or the file and bring them up- to- date (the appearance or disappearance of farms can escape notice by city hall; the surface areas may have changed). [Footnote] (1) This means not containing any counted building (see the footnote of the preceding page). France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates if the dwelling is assigned a farm. 0 NIU (not in universe) 1 A farm assigned to the dwelling 2 The dwelling is in a building which is an agricultural center but no farm has been assigned to it 3 The dwelling is in a building which is not an agricultural center Household Economic Variables -- HOUSEHOLD Number of dwellings and building type France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates the number of dwellings and type of building. 0 NIU (not in universe) 1 Building with only one dwelling - farm 2 Building with only one dwelling - private house 3 Building with only one dwelling - other 4 Building with two dwellings - farm 5 Building with two dwellings - other 6 Building with 3 or 4 dwellingss 7 Building with 5 to 9 dwellings 8 Building with 10 to 19 dwellings 9 Building with 20 dwellings or more Technical Household Variables -- HOUSEHOLD Number of cars available to the household <svar a="all" v="FR68A054">11. Does one of the inhabitants of the dwelling (mentioned in list A) use a personal vehicle? <div class="i1">[] 1Yes [] 0 No</div> </svar> <svar a="all" v="FR68A054">4.3.8 Question 11: Personal vehicle You must check "Yes" if at least one of the inhabitants of the dwelling has a personal vehicle: in this case, you should not forget to mention the number of personal vehicles (one or several) which these people use. "Have" should be understood in the sense of "use", "to have at one's disposal" as a result, you should keep track not only of cars personally owned by one of the inhabitants of the dwelling, but company cars as well. Company vehicles used for households for the week- ends or vacations will be included in the category of personal vehicles. </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates whether at least one member of the dwelling where the household resides has a vehicle for personal use that can be used by the household. 0 NIU (not in universe) 1 None of the occupants in the dwelling has a vehicle for personal use 2 At least one of the occupants of the dwelling has a vehicle for personal use 3 No answer Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Toilet facilities <svar a="all" v="FR68A056">8. Toilets (W.C.) <div class="i1">Located inside the dwelling [] 1 with flush [] 2 without flush Located outside of the dwelling but reserved only for its occupants [] 3 with flush [] 4 without flush</div> </svar> France 1968: Private ordinary dwellings [discrepancies: none] This variable indicates whether toilet facilities are available in the dwelling and their type, when it corresponds. 0 NIU (not in universe) 1 Toilet facilities inside the dwelling with flush 2 Toilet facilities inside the dwelling, without flush 3 Toilet facilities outside the dwelling (but reserved only for the occupants of one dwelling), with flush 4 Toilet facilities outside the dwelling (but reserved only for the occupants of one dwelling), without flush 5 Other cases Dwelling Characteristics Variables -- HOUSEHOLD Number of people in the family France 1968: Households cointaining one or more families [discrepancies: none] This variable indicates the number of people in the household, where a household has two or more members. 0 NIU (not in universe) 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 + Constructed Household Variables -- HOUSEHOLD Number of rooms occupied by the family France 1968: Households cointaining one or more families [discrepancies: none] This variable indicates the number of rooms occupied by the household. 0 NIU (not in universe) 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 + Dwelling Characteristics Variables -- HOUSEHOLD Urban-rural France 1968: All households This variable indicates if the household resides in a rural or urban area. 1 Rural 2 Urban, under 20,000 population 3 Urban, from 20,000 to 199,999 4 Urban, from 200,000 to 2,000,000 5 Paris agglomeration Geography: F-N Variables -- HOUSEHOLD 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. Technical Person Variables -- PERSON 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. Technical Person Variables -- PERSON 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 Constructed Family Interrelationship Variables -- PERSON 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 Constructed Family Interrelationship Variables -- PERSON 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 Constructed Family Interrelationship Variables -- PERSON Rule for linking parent 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. 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 Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse 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. 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) Constructed Family Interrelationship Variables -- PERSON Probable stepmother 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. 0 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 Constructed Family Interrelationship Variables -- PERSON Probable stepfather 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. 0 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 Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked 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. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife 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. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON 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. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household 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). 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 Constructed Family Interrelationship Variables -- PERSON Number of own 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 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 Constructed Family Interrelationship Variables -- PERSON Age of eldest 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. 00 0 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 Constructed Family Interrelationship Variables -- PERSON Age of youngest 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. 00 0 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 Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 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 Demographic Variables -- PERSON Relationship to head, Europe 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. 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 Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 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 Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of 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 Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] 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. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] 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. 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 Demographic Variables -- PERSON Marital status, Europe 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. 0 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 Demographic Variables -- PERSON Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown Demographic Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 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) Nativity and Birthplace Variables -- PERSON Country of citizenship NATION indicates the person's country of citizenship. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown Nativity and Birthplace Variables -- PERSON Region of birth, France BPLFR indicates the person's region of birth within France. 01 Guadeloupe 02 French Guyana 03 Martinique 04 Réunion 05 Mayotte 06 Saint-Pierre and Miquelon 07 French Polynesia 08 Wallis and Futuna 09 New Caledonia 11 Region Parisienne 21 Champagne 22 Picardie 23 Haute-Normandie 24 Centre 25 Basse-Normandie 26 Bourgogne 31 Nord 41 Lorraine 42 Alsace 43 Franche-Comte 52 Pays de la Loire 53 Bretagne 54 Poitou-Charentes 72 Aquitaine 73 Midi Pyrenees 74 Limousin 82 Rhone-Alpes 83 Auvergne 91 Lanquedoc-Roussillon 93 Provence Cote d'Azur 94 Corse 99 Foreign-born and unknown Nativity and Birthplace Variables -- PERSON Region of birth, Europe, NUTS1 EBPLNT1 indicates the NUTS1 region in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. NUTS1 identifies the largest territorial units within countries. EBPLNT1 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants. The code labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash. 0000 NIU (not in universe) 0901 ES1 / Noroeste 0902 ES2 / Noreste 0903 ES3 / Comunidad de Madrid 0904 ES4 / Centro (E) 0905 ES5 / Este 0906 ES6 / Sur 0907 ES7 / Canarias 0908 ES6 / Sur + Other Spanish territories 1101 FR1 / Île de France 1102 FR2 / Bassin Parisien 1103 FR3 / Nord - Pas-de-Calais 1104 FR4 / Est 1105 FR5 / Ouest 1106 FR6 / Sud-Ouest 1107 FR7 / Centre-Est 1108 FR8 / Méditerranée 1201 EL1 / Voreia Ellada 1202 EL2 / Kentriki Ellada 1203 EL3 / Attiki 1204 EL4 / Nisia Aigaiou, Kriti 1301 HU1 / Közép-Magyarország 1302 HU2 / Dunántúl 1303 HU3 / Alföld és Észak 1400 IE0 / Republic of Ireland 2201 PT1 / Continente 2202 PT2 / Região Autónoma dos Açores 2203 PT3 / Região Autónoma da Madeira 2301 RO1 / Macroregiunea unu 2302 RO2 / Macroregiunea doi 2303 RO3 / Macroregiunea trei 2304 RO4 / Macroregiunea patru 2501 SI0 / Slovenija 3401 CH0/Switzerland 3901 TR1 / Istanbul 3902 TR2 / Bati Marmara 3903 TR3 / Ege 3904 TR4 / Dogu Marmara 3905 TR5 / Bati Anadolu 3906 TR6 / Akdeniz 3907 TR7 / Orta Anadolu 3908 TR8 / Bati Karadeniz 3909 TR9 / Dogu Karadeniz 3911 TRA / Kuzeydogu Anadolu 3912 TRB / Ortadogu Anadolu 3913 TRC / Güneydogu Anadolu 9998 Response suppressed 9999 Unknown Nativity and Birthplace Variables -- PERSON Region of birth, Europe, NUTS2 EBPLNT2 indicates the NUTS2 region of Europe in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. NUTS2 identifies intermediate territorial units: the second level within countries. EBPLNT2 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants. The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash. 0000 NIU (not in universe) 0911 ES11 / Galicia 0912 ES12 / Principado de Asturias 0913 ES13 / Cantabria 0921 ES21 / País Vasco 0922 ES22 / Comunidad Foral de Navarra 0923 ES23 / La Rioja 0924 ES24 / Aragón 0930 ES30 / Comunidad de Madrid 0941 ES41 / Castilla y León 0942 ES42 / Castilla-La Mancha 0943 ES43 / Extremadura 0951 ES51 / Cataluña 0952 ES52 / Comunidad Valenciana 0953 ES53 / Illes Balears 0961 ES61 / Andalucía 0962 ES62 / Región de Murcia 0963 ES63 / Ciudad Autónoma de Ceuta 0964 ES64 / Ciudad Autónoma de Melilla 0969 ES63 + ES64 + Other Spanish territories 0970 ES70 / Canarias 1110 FR10 / Region d'Île de France 1121 FR21 / Champagne-Ardenne 1122 FR22 / Picardie 1123 FR23 / Haute-Normandie 1124 FR24 / Centre 1125 FR25 / Basse-Normandie 1126 FR26 / Bourgogne 1130 FR30 / Nord-Pas-de-Calais 1141 FR41 / Lorraine 1142 FR42 / Alsace 1143 FR43 / Franche-Comté 1151 FR51 / Pays de la Loire 1152 FR52 / Bretagne 1153 FR53 / Poitou-Charentes 1161 FR61 / Aquitaine 1162 FR62 / Midi-Pyrénées 1163 FR63 / Limousin 1171 FR71 / Rhône-Alpes 1172 FR72 / Auvergne 1181 FR81 / Lanquedoc-Roussillon 1182 FR82 / Provence-Alpes-Côte d'Azur 1183 FR83 / Corse 1211 EL11 / Anatoliki Makedonia, Thraki 1212 EL12 / Kentriki Makedonia 1213 EL13 / Dytiki Makedonia 1214 EL14 / Thessalia 1221 EL21 / Ipeiros 1222 EL22 / Ionia Nisia 1223 EL23 / Dytiki Ellada 1224 EL24 / Sterea Ellada 1225 EL25 / Peloponnisos 1230 EL30 / Attiki 1241 EL41 / Voreio Aigaio 1242 EL42 / Notio Aigaio 1243 EL43 / Kriti 1401 IE01 / Border, Midland and Western 1402 IE02 / Southern and Eastern 2211 PT11 / Norte 2215 PT15 / Algarve 2216 PT16 / Centro (P) 2217 PT17 / Lisboa 2218 PT18 / Alentejo 2220 PT20 / Região Autónoma dos Açores 2230 PT30 / Região Autónoma da Madeira 2311 RO11 / Nord-Vest 2312 RO12 / Centru 2321 RO21 / Nord-Est 2322 RO22 / Sud-Est 2331 RO31 / Sud - Muntenia 2332 RO32 / Bucuresti - Ilfov 2341 RO41 / Sud-Vest Oltenia 2342 RO42 / Vest 2501 SI01 / Vzhodna Slovenija 2502 SI02 / Zahodna Slovenija 3401 CH01 / Région Lémanique 3402 CH02 / Espace Mittelland 3403 CH03 / Nordwestschweiz 3404 CH04 / Zurich 3405 CH05 / Ostschweiz 3406 CH06 / Zentralschweiz 3407 CH07 / Ticino 3910 TR10 / Istanbul 3921 TR21 / Tekirdag, Edirne, Kirklareli 3922 TR22 / Balikesir, Çanakkale 3931 TR31 / Izmir 3932 TR32 / Aydin, Denizli, Mugla 3933 TR33 / Manisa, Afyonkarahisar, Kütahya, Usak 3941 TR41 / Bursa, Eskisehir, Bilecik 3942 TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova 3951 TR51 / Ankara 3952 TR52 / Konya, Karaman 3961 TR61 / Antalya, Isparta, Burdur 3962 TR62 / Adana, Mersin 3963 TR63 / Hatay, Kahramanmaras, Osmaniye 3971 TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir 3972 TR72 / Kayseri, Sivas, Yozgat 3981 TR81 / Zonguldak, Karabük, Bartin 3982 TR82 / Kastamonu, Çankiri, Sinop 3983 TR83 / Samsun, Tokat, Çorum, Amasya 3990 TR90 / Trabzon 3991 TRA1 / Erzurum, Erzincan, Bayburt 3992 TRA2 / Agri, Kars, Igdir, Ardahan 3993 TRB1 / Malatya, Elazig, Bingöl, Tunceli 3994 TRB2 / Van, Mus, Bitlis, Hakkari 3995 TRC1 / Gaziantep, Adiyaman, Kilis 3996 TRC2 / Sanliurfa, Diyarbakir 3997 TRC3 / Mardin, Batman, Sirnak, Siirt 9998 Response suppressed 9999 Unknown Nativity and Birthplace Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] 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. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] 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. 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 Education Variables -- PERSON Educational attainment, France EDUCFR reports the general, technical, and professional degrees attained by the respondent in France. 00 None declared 10 CEP 11 Primary or middle school, without primary certificate 20 BEPC 21 Some secondary, without middle school certificate 30 CAP, BEP 31 CAP 32 BEP 40 BAC, BP, BT, BEA, BEC, BEI 41 General Baccalaureate (BAC) 42 Technical Baccalaureate (BEA, BEC, BEI) 50 BAC+ 51 University diploma, 1st cycle 52 University diploma, 2nd cycle 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Europe 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. 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 Education Variables -- PERSON Age when completed education EDAGE indicates the age at which the respondent stopped regularly attending a scholarly institution, including professional and technical establishments. 09 9 years or younger 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years 19 19 years 20 20 years 21 21 years 22 22 years 23 23 years 24 24 years 25 25 years 26 26 years 27 27 years 28 28 years 29 29 years 30 30 or older 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Activity status (employment status) [general version] 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". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] 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". 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 Work Variables -- PERSON Activity status (employment status), Europe EEMPSTAT indicates for the European samples whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EEMPSTAT can also convey further information. EEMPSTAT has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Employment Status" is referred to as "Activity Status" in the CES recommendations, but the former term is used to maintain consistency with IPUMS practices. The economically active population constitutes the total labor force: employed and unemployed persons. 000 NIU (not in universe) 110 Employed 120 Unemployed 121 Unemployed, never worked before 200 Not economically active, unspecified 210 Students 220 Pension or capital income recipients 230 Homemakers 240 Others 999 Unknown / missing Work Variables -- PERSON Labor force participation 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. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general 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. 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) Work Variables -- PERSON 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 Work Variables -- PERSON Industry, general recode 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. 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 Work Variables -- PERSON 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 Work Variables -- PERSON Status in employment (class of worker) [general version] 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. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] 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. 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 Work Variables -- PERSON Status in employment (class of worker), Europe ECLASSWK refers in European Samples to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. ECLASSWK is related to EEMPSTAT (employment status), which is used to define the universe for the variable in many samples. ECLASSWK has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Class of worker" is referred to as "Status in Employment" in the CES recommendations. The former term is used to maintain concordance with IPUMS practice. 0 NIU (not in universe) 1 Employees 2 Employers 3 Own-account worker 4 Contributing family workers 5 Members of producers' co-operatives 6 Persons not classificable by status 9 Unknown Work Variables -- PERSON Number of employees EMPLNO reports the number of persons employed by the respondent. 00 None 01 1 or 2 employees 02 3 to 5 03 3 to 9 04 6 to 9 05 6 or more 06 10 or more 08 Unknown 09 NIU (not in universe) Work Variables -- PERSON Period seeking work LOOKJOB indicates the continuous period of time that an unemployed person has been 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 Work Variables -- PERSON Region of work, France PWRKFR indicates the respondent's region of work within metropolitan France. 11 Region Parisienne 21 Champagne 22 Picardie 23 Haute-Normandie 24 Centre 25 Basse-Normandie 26 Bourgogne 31 Nord Pas de Calais 41 Lorraine 42 Alsace 43 Franche-Comte 52 Pays de la Loire 53 Bretagne 54 Poitou-Charentes 72 Aquitaine 73 Midi Pyrenees 74 Limousin 82 Rhone-Alpes 83 Auvergne 91 Lanquedoc-Roussillon 93 Provence Cote d"Azur 94 Corse 98 Unknown/missing 99 NIU (not in universe) Work Variables -- PERSON Means of transportation to work or school TRNWRK identifies the primary or usual means of transportation the person took either to work or school. In censuses in which a person could report multiple modes of transportation, TRNWRK includes only the first response. 00 NIU (not in universe) 10 None, does not travel to work or school 20 Walking 21 Walks or bicycle 22 Walks, bicycle, or motorcycle 30 Private vehicle 31 Auto, truck, van 32 Auto (driver) 33 Auto (passenger) 34 Auto, motorcycle, moped 35 Motorcycle, moped, or scooter 36 Bicycle 37 Bicycle or motorcycle/moped 38 Boat 40 Public transportation 41 Bus or trolley bus 42 Bus or streetcar 43 Streetcar or trolley car 44 Railroad or train 45 Subway or elevated train 46 Other public transportation 50 Other 51 Taxicab 52 Ferryboat 53 Special transportation (company coach, school bus, etc.) 54 Hired transport 55 Shared private transport 56 Horse or animal-drawn vehicle 57 Other, not elsewhere classified 60 Combination of several means 99 Unknown/missing Work Variables -- PERSON Migration status, last census MIGRATEC indicates the person's place of residence at the time of the previous census. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Unknown Migration: Global Variables -- PERSON 1st subnational geographic level of previous residence, world [consistent boundaries over time] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu city [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe city [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba city [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre city [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454313 Mwanza, Neno [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496001 Arkhangai [Province: Mongolia] 496002 Bayan-Olgii [Province: Mongolia] 496003 Bayankhongor [Province: Mongolia] 496004 Bulgan [Province: Mongolia] 496005 Govi-Altai [Province: Mongolia] 496006 Dornogovi, Govisumber [Province: Mongolia] 496007 Dornod [Province: Mongolia] 496008 Dundgovi [Province: Mongolia] 496009 Zavkhan [Province: Mongolia] 496010 Ovorkhangai [Province: Mongolia] 496011 Omnogovi [Province: Mongolia] 496012 Sukhbaatar [Province: Mongolia] 496013 Selenge [Province: Mongolia] 496014 Tov [Province: Mongolia] 496015 Uvs [Province: Mongolia] 496016 Khovd [Province: Mongolia] 496017 Khovsgol [Province: Mongolia] 496018 Khentii [Province: Mongolia] 496019 Darkhan-Uul [Province: Mongolia] 496020 Ulaanbaatar [Province: Mongolia] 496021 Orkhon [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON Region of previous residence at last census, France; consistent boundaries, GIS MIG1_P_FR indicates the person's region of residence on January 1 in the year of the previous census. For children not born by January 1 of the year of the last census, their region of birth is given. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 250001 Guadeloupe 250002 Martinique 250003 French Guyana 250004 Réunion Island 250011 Île-de-France 250021 Champagne-Ardenne 250022 Picardy 250023 Upper Normandy 250024 Centre 250025 Lower Normandy 250026 Burgundy 250031 North Pas-de-Calais 250041 Lorraine 250042 Alsace 250043 Franche-Comte 250052 Loire Valley 250053 Brittany 250054 Poitou-Charentes 250072 Aquitaine 250073 Midi-Pyrénées 250074 Limousin 250082 Rhone-Alpes 250083 Auvergne 250091 Languedoc-Roussillon 250093 Provence-Alpes-Riviera 250094 Corsica 250097 Abroad Migration: F-N Variables -- PERSON Head of family relationship to head of the household France 1968: Persons belonging to a family [discrepancies: none] This variable indicates the relationship of the respondent's head of the family to the head of the household. 0 NIU (not in universe) 1 Head of household 2 Younger family member of the head of household or his/her spouse 3 Older family member of the head of household or his/her spouse 4 Other relative of the head of household or his/her spouse 5 Friend 6 Boarder, person subletting 7 Maid, paid employee living there 9 Unknown Demographic Variables -- PERSON Industry (nomenclature of the UN) <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="all" v="FR68A401 FR68A427 FR68A433">16. Business (industrial or other) Farm, etc, which you are in charge of or where you work <div class="i1">a. Name (or corporate name) and address:</div> <div class="i2">Name ____ Street ____ Number ____ City (for Paris, Lyon, Marseille, include the city neighborhood) ____ Department ____</div> <div class="i1">b. Purpose of this business: ____ Be specific: Examples: whole-sale wine production, retail grocery store, manufacture of steel structures, cotton mill, highway transport of passengers, truck farmer, etc. c. If you are not working at the address of the business, indicate the address of your usual workplace:</div> <div class="i2">Street ____ Number ____ City (for Paris, Lyon, Marseille, include the city neighborhood) ____ Department ____</div> <div class="i1">If, during your work, you must travel a lot (for example, train personnel of the S.N.C.F., bus drivers, etc.) indicate the place where you go ordinarily to do your work (train station, bus depot, etc.) If you do not always do your work at the same place (for example, travelers on business), answer "variable". If you work at home, indicate "at home".</div> </svar> <svar a="all" v="FR68A401 FR68A427 FR68A433">Question 16: Where do you work? This question affects each person who has declared a profession in question 11, including employees of public services, of local communities and government employees who should indicate in 16b the name of the administration which employs them. Some people have several employers (housemaids working for several individuals). In this case, indicate the main employer (this is to say the individual where the person completes the most number of hours). In some cases, the address of the workplace (question 16a) can coincide with that of the home (merchants especially): it is necessary nevertheless to write it down again. </svar> France 1968: Active persons [discrepancies: none] This variable indicates the respondent's economic activity according to the UN nomenclature (ISIC Rev. 1, 1958). 011 Agriculture and livestock production 012 Agricultural services 021 Forestry 022 Logging 041 Ocean and coastal water fishing, excluding factory-vessel fishing 043 Inland water fishing 110 Coal mining 120 Metal mining 121 Iron ore mining 122 Metal mining except iron ore mining 130 Crude petroleum and natural gas 140 Stone, quarrying, clay and sand pits 191 Salt mining and quarrying 192 Chemical and fertilizer mineral mining 199 Non-metallic mining and quarrying n.e.c. 201 Slaughtering, preparation, and preserving of meat 202 Manufacture of dairy products 203 Canning and preserving of fruits and vegetables 204 Canning and preserving of fish and other sea foods 205 Manufacture of grain mill products 206 Manufacture of bakery products 207 Sugar factories and refineries 208 Manufacture of cocoa, chocolate and sugar confectionery 209 Manufacture of miscellaneous food preparations 210 Beverage Industries 211 Distilling, rectifying and blending spirits 212 Wine Industries 213 Breweries and manufacturing of malt 214 Soft drinks and carbonated water industries 220 Tobacco manufactures 230 Manufacture of textiles 231 Spinning, weaving, and finishing textiles 232 Knitting mills 233 Cordage, rope and twine industries 239 Manufacture of textiles n.e.c. 241 Manufacture of footwear 242 Repair of footwear 243 Manufacture of wearing apparel, except footwear 244 Manufacture of made-up textile goods, except wearing apparel 251 Sawmills, planing and other wood mills 252 Wooden and cane containers and cane small ware 259 Manufacture of cork and wood products n.e.c. 260 Manufacture of furniture and fixtures 271 Manufacture of pulp, paper, and paperboard 272 Manufacture of articles of pulp, paper, and paperboard 280 Printing, publishing and allied industries 290 Manufacture of leather and leather and fur products except footwear and other wearing apparel 291 Tanneries and leather finishing plants 292 Manufacture of fur products, except wearing apparel 293 Manufacture of leather products, except footwear and other wearing apparel 300 Manufacture of rubber products 310 Manufacture of chemicals and chemical products 311 Basic industrial chemicals including fertilizers 312 Vegetable and animal oils and fats 313 Manufacture of paints, varnishes, and lacquers 319 Manufacture of miscellaneous chemical products 320 Manufacture of products of petroleum and coal 321 Petroleum refineries 329 Manufacture of miscellaneous products of petroleum and coal 330 Manufacture of non-metallic mineral products, except products of petroleum and coal 331 Manufacture of structural clay products 332 Manufacture of glass and glass products 333 Manufacture of pottery, china and earthen ware 334 Manufacture of cement (hydraulic) 339 Manufacture of non-metallic mineral products n.e.c. 340 Basic metal industries 341 Iron and steel basic industries 342 Non-ferrous metal basic industries 350 Manufacture of metal products except machinery and transport equipment 360 Manufacture of machinery except electrical machinery 370 Manufacture of electrical machinery, apparatus, appliances and supplies 380 Manufacture of transport equipment 381 Ship building and repairing 382 Manufacture of railroad equipment 383 Manufacture of motor vehicles 384 Repair of motor vehicles 385 Manufacture of motorcycles and bicycles 386 Manufacture of aircraft 389 Manufacture of transport equipment, n.e.c. 390 Miscellaneous manufacturing industries 391 Manufacture of professional, scientific, measuring and controlling instruments 392 Manufacture of photographic and optical goods 393 Manufacture of watches and clocks 394 Manufacture of jewellery and related articles 395 Manufacture of musical instruments 399 Manufacturing industries n.e.c. 400 Construction 500 Electricity, gas, water, and sanitary services 511 Electric light and power 512 Gas manufacture and distribution 513 Steam heat and power 521 Water supply 522 Sanitary services 610 Wholesale and retail trade 611 Wholesale trade 612 Retail trade 620 Banks and other financial institutions 630 Insurance 640 Real estate 710 Transport 711 Railway transport 712 Tramway and omnibus operators 713 Road passenger transport, except omnibus operators 714 Road transport n.e.c. 715 Ocean transport 716 Water transport, except ocean transport 717 Air transport 718 Services incidental to transport 719 Transport n.e.c. 720 Storage and warehousing 730 Communications 810 Government services 820 Community services 821 Educational services 822 Medical and other health services 823 Research and scientific institutes 824 Religious organizations 825 Welfare institutions 826 Trade associations and professional and labour organizations 827 Libraries, museums and botanical and zoological gardens 829 Community services n.e.c. 830 Business services 831 Legal services 832 Accounting, auditing and bookkeeping services 833 Engineering and technical services 839 Business services n.e.c. 841 Motion picture production, distribution, and projection 842 Theatres and related services 843 Recreation services, except theaters and motion pictures 851 Domestic service 852 Restaurants, cafes, taverns and other drinking and eating places 853 Hotels, rooming houses, camps and other lodging places 854 Laundries and laundry services; cleaning and dyeing 855 Barber and beauty shops 856 Portrait and commercial photographic studios 859 Personal services n.e.c. 900 Activities not adequately described 999 NIU (not in universe) Work: Industry Variables -- PERSON Belonging to a family France 1968: All persons This variable indicates if the respondent belongs to any of the families in the dwelling. 0 Outside of the family 1 Main family 2 1st secondary family 3 2nd secondary family Constructed Family Interrelationship Variables -- PERSON Age completed schooling <svar v="FR68A403 FR68A405 FR68A407 FR68A409 FR68A410 FR68A430 FR68A436 FR68A437 FR68A439">Education and professional formation (for all persons born before January 1st, 1962) [Applies to questions 8 - 11] </svar> <svar a="all" v="FR68A403">10. At what age did you stop attending school (including professional, technical, and university level schools) _ _ years </svar> <svar a="all" v="FR68A403">5.6.4 Question 10: Age at the end of studies What we mean by "regularly attends a scholastic university establishment (including professional or technical)" is to take classes during the normal length of the school year. Corresponding studies constitute then, for the person concerned, his only activity, or, at least, his/her main activity. </svar> France 1968: Persons age 15+ not enrolled in an educational institution [discrepancies: none] This variable indicates the respondent's age at the end of his studies. 09 9 or younger 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 97 Not declared 99 NIU (not in universe) Education Variables -- PERSON Category of the population in detail France 1968: All persons This variable indicates the respondent's population category in detail. 00 Population of ordinary households (except for reintegrated) 01 Military, counted separately and reintegrated into a household 02 Boarding students, counted separately and reintegrated into a household 03 People undergoing treatment in a sanatoriums, etc, counted separately and reintegrated into a household 04 Workers in temporary shacks, counted separately and reintegrated into a household 11 Military, counted separately and not reintegrated 12 Boarding students, counted separately and not reintegrated 13 People undergoing treatment in a sanatoriums, etc, counted separately and not reintegrated 14 Workers in temporary shacks, counted separately, not reintegrated 15 People undergoing treatment in psychiatric hospitals, counted separately and not reintegrated 16 Prisoners, juvenile delinquents, counted separately and not reintegrated 21 Nurses, etc., from a hospital establishment, population of shared households 22 Professors and supervisors, etc. from a teaching institution, population of shared households 23 Service staff in a hotel, population of shared households 24 Members of a religious community, population of shared households 25 Sick people or boarders of a hospital establishment, population of shared households 26 Students living in a university dormitory or a student home, population of shared households 27 Workers living in a home, population of shared households 28 Old folks living in a retirement home or nursing home, population of shared households 29 Other situations, population of shared households 31 People occupying a mobile home (except for mariners) 32 Mariners 40 People counted normally but not being able to be reassociated with their dwelling at the time of the [mise en bande] 41 Military, counted separately, able to be integrated but not reintegrated into an ordinary household 42 Boarding students, counted separately, able to be integrated but not reintegrated 43 People undergoing treatment in sanatoriums, counted separately but not reintegrated 44 Workers in temporary shacks, counted separately but not reintegrated Work Variables -- PERSON Occupation <svar v="FR68A403 FR68A405 FR68A407 FR68A409 FR68A410 FR68A430 FR68A436 FR68A437 FR68A439">Education and professional formation (for all persons born before January 1st, 1962) [Applies to questions 8 - 11] </svar> <svar a="all" v="FR68A405 FR68A430 FR68A437 FR68A439">8. Are you currently a student? <div class="i1">[] Yes (Answer question 9) [] No (Answer questions 10 and 11)</div> Do not answer "yes" unless you are taking classes (including professional or technical classes) or at the university for the normal duration of the school year. If you are apprenticed under contract, if you are not taking any classes except for some professional classes part-time, or classes by correspondence for perfecting your skills, seasonal agricultural classes, etc. answer "no". </svar> <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="FR68A414" v="FR68A405 FR68A414 FR68A437">12. Main profession: Indicate the profession or the occupation which you are currently practicing (even if you are still only an apprentice or if you are working by helping a member of your family in his/her work.) A woman who is taking care of her home should answer "no profession". <div class="i1">____</div> Be specific: Examples: auto repair mechanic, clothing producer, steel worker, draftsman, electrical engineer, grain broker, wine-producer, driver of large trucks, swine breeder, hairdresser, shorthand typist, etc. </svar> <svar a="FR68A406 FR68A425" v="FR68A405 FR68A406 FR68A425 FR68A438">14. Do you practice your main profession declared in question 12 as: <div class="i1">[] 2 Owner, farmer, sharecropper. [] 3 Member of a free-market profession [] 4 Employer or self-employed: artisan, merchant, industrialist, etc. (self-employed, including managers of the S.A.R.L. [Société responsabilité limitée] and people only working on commission). [For any of the above options:]</div> <div class="i2">Do you hire employees? Do not count servants at home in your service. In agriculture, only count permanent paid workers. [] Yes How many?</div> <div class="i3">[] 1 1 to 2 [] 3 3 to 5 [] 6 6 or more</div> <div class="i2">[] 0 No</div> <div class="i1">[] 5 Person working at home for one (or more) businesses. [] 6 Apprenticed under contract. [] 7 Paid worker : answer questions 15a, 15b or 15c below:</div> </svar> <svar v="FR68A405 FR68A437 FR68A439">18. If you don't work anymore: <div class="i1">(You are, for example, retired from public service, a retired executive, old retired worker, former farmer, retired from business, etc.) What is your main profession? ____</div> </svar> <svar a="FR68A414" v="FR68A405 FR68A414 FR68A437">Question 12: Main profession. Attentively read the explanations and the examples given on the individual forms, as well as the instructions hereafter. Examples of bad answers not to accept in any situation [left column] / Comments [right column] 1) Bad answers because they aren't specific enough. Employee, worker, building worker, engineer, executive, director / Indicate exactly the job of the person concerned, for example: salesperson at a department store, bank employee, lathe operator, chemical engineer, plasterer, expert forester, business director. Government employee, SNCF employee, EDF employee / For government employees and public service employees, specify the rank or the job, for example: representative of the prefecture, clerk of the PTT, second class stationmaster, driver of a diesel locomotive, EDF dispatcher. Merchant, industrialist, farmer, entrepreneur, craftsman, administrator / Answer, for example: retail grocer, wholesaler in pharmaceutical products, masonry entrepreneur, residential building director, movie theater employee 2) Bad answers because they are incomplete. O.S., O.P., Qualified worker, team leader, foreman / these labels indicate the situation in the professional hierarchy, but do not give any information on the individual profession of the person concerned. On the other hand, the following answers are satisfactory: O.S. (specialized worker) in rope or yarn winding, textile mill foreman </svar> <svar a="FR68A406 FR68A425" v="FR68A405 FR68A406 FR68A425 FR68A438">Question 14: Professional status. Category 5: "Worker at home for a total of one or more businesses" does not allow for people who work at their home for their own business (artisans, sewers, stylists). This category applies on the other hand to people who do work at their home, often as they will, for the affairs of an industrial or commercial establishment who reimburses them for this. Such is the case, for example of some newspapers designers, of people working for clothing industries or performing secretarial work for the affairs of some administrations, etc. </svar> France 1968: All persons This variable indicates the respondent's socio-professional category in detail. 00 Farmers 10 Agricultural employees 21 Industrialists 22 Artisans 23 Fishers 26 Whole-salers 27 Small merchanges 30 Free-market professions 32 Teachers, literary and scientific professions 33 Engineers 34 Master administrative executives 41 Instructors, diverse intellectual professions 42 Medical and social services 43 Technicians 44 Administrative executives 51 Office employees 53 Business employees 60 Supervisors 61 Skilled workers 63 Specialized unskilled workers 65 Miners 66 Boatmen and fishers 67 Apprenticed workers 68 Unskilled workers 70 Servants 71 Housewives 72 Other service staff 80 Artists 81 Clergy 82 Army and police 91 University students and other students 92 Military of the contingent 93 Former farmers (farmers and paid workers) 94 Retired from business 95 Retired from public service 96 Former paid employees from the private sector 97 People not working of age 17 or less 98 Other people not working between 17 to 64 years of age 99 Other people not working between 65 years of age or more Work: Occupation Variables -- PERSON Class of worker <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="FR68A406 FR68A425" v="FR68A405 FR68A406 FR68A425 FR68A438">14. Do you practice your main profession declared in question 12 as: <div class="i1">[] 2 Owner, farmer, sharecropper. [] 3 Member of a free-market profession [] 4 Employer or self-employed: artisan, merchant, industrialist, etc. (self-employed, including managers of the S.A.R.L. [Société responsabilité limitée] and people only working on commission). [For any of the above options:]</div> <div class="i2">Do you hire employees? Do not count servants at home in your service. In agriculture, only count permanent paid workers. [] Yes How many?</div> <div class="i3">[] 1 1 to 2 [] 3 3 to 5 [] 6 6 or more</div> <div class="i2">[] 0 No</div> <div class="i1">[] 5 Person working at home for one (or more) businesses. [] 6 Apprenticed under contract. [] 7 Paid worker : answer questions 15a, 15b or 15c below:</div> </svar> <svar a="FR68A406 FR68A425" v="FR68A405 FR68A406 FR68A425 FR68A438">Question 14: Professional status. Category 5: "Worker at home for a total of one or more businesses" does not allow for people who work at their home for their own business (artisans, sewers, stylists). This category applies on the other hand to people who do work at their home, often as they will, for the affairs of an industrial or commercial establishment who reimburses them for this. Such is the case, for example of some newspapers designers, of people working for clothing industries or performing secretarial work for the affairs of some administrations, etc. </svar> France 1968: Active persons born before 1954 [discrepancies: none] This variable indicates the respondent's work status in detail (the clergy from Alsace-Lorraine whose work remunerated, appears in category 8). 00 Clergy (except in Alsace-Lorraine) 01 Independent without employees 02 Employer 03 Family helper 04 Apprenticed under contract 05 Workers in private institutions 06 Working from home 07 Workers in public service 08 Employees of the state and local towns 09 Unemployed 99 NIU (not in universe) Work Variables -- PERSON Diploma <svar v="FR68A403 FR68A405 FR68A407 FR68A409 FR68A410 FR68A430 FR68A436 FR68A437 FR68A439">Education and professional formation (for all persons born before January 1st, 1962) [Applies to questions 8 - 11] </svar> <svar a="all" v="FR68A407 FR68A409 FR68A410 FR68A436">11. Among the following diplomas, indicate all of those which you have: <div class="i1">a. General education</div> <div class="i2">[] 1 Certificate of primary studies (C.E.P.) [Certificat d'études primaires] [] 2 Elementary certification (B.E.P.C.) [Brevet d'études du premier cycle], (B.E.) or junior high certification (B.E.P.S.) [Brevet d'enseignement primaire supérieur] [] 3 High school diploma (first part, junior year, second part), including the technical series, or superior certification [Brevet supérieur] [] 4 Diplomas of higher education after the complete high school diploma (diplomas given in universities, diplomas at the end of studies at large professional schools [Grandes Ecoles], public or private, engineering schools, etc.).</div> <div class="i1">b. Professional or technical education</div> <div class="i2">[] 1 Exam at the end of artisan's internship [] 2 Certificate at the end of a F.P.A internship [] 3 Professional aptitude certification (C.A.P.) [Certificat d'aptitude professionnel] [] 4 Professional certificate (B.P.) [Brevet professionel], Master's certificate [] 5 Professional business certificate (B.E.C.) [Brevet d'enseignement commercial], Industrial certificate (B.E.I.), social (B.E.S.), hotel management (B.E.H.), agriculture (B.E.A.), etc. [] 6 Student certified in the E.N.P. [Ecole nationale polytechnique] or from a technical high school, technical certificate or master technical certificate. [] 9 Other professional diplomas given by private schools or public institutions.</div> </svar> <svar a="all" v="FR68A407 FR68A409 FR68A410 FR68A436">5.6.5 Question 11: Diplomas Just as for question 11a (general education or college- level studies) as for question 11b (technical school and professional school), several boxes can be checked. Only people who really have a diploma given should check the box which refers to it, except for those who have taken the following classes, without having obtained the diploma but believe to have attained the level of the diploma. F.P.A. = professional adult education; E.N.P. = national professional school </svar> France 1968: Persons age 15+ not enrolled in an educational institution [discrepancies: none] This variable indicates the respondent's educational diploma, when it corresponds. 00 NIU (not in universe) 10 None 11 C.E.P., None 20 None or C.E.P.; Exam at the end of artist's internship 21 None or C.E.P.; Certificate at the end of the FPA internship 22 None or C.E.P.; C.A.P. 23 None or C.E.P.; Other diploma at C.A.P. level 30 B.E.P.C level; none 31 B.E.P.C. level; C.A.P. level 40 High school diploma level 41 High school diploma; C.A.P. level 42 None or level lower than high school diploma; Professional certificate 43 None or level lower than high school diploma; B.E.C; B.E.I. 44 None or level lower than high school diploma; B.T. B.T.S.; Certificate of the E.N.P. 45 High school diploma level; higher level or C.A.P. 50 Any level superior to the high school diploma Education Variables -- PERSON Unemployment duration <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="FR68A408" v="FR68A408 FR68A430">17. If you are currently without work and if you are looking for some: <div class="i1">a. Have you already worked?</div> <div class="i2">[] Yes [] No</div> <div class="i1">b. What is your occupation? ____ c. How long have you been looking for work?</div> <div class="i2">[] 1 less than 3 months [] 2 from 3 to 6 months [] 3 from 6 months to less than a year [] 4 a year or more</div> </svar> <svar a="all" v="FR68A408 FR68A430">Question 17: The case of the unemployed and those who are looking for work. This question concerns all people having or having not already worked, who fulfill the following conditions simultaneously: a) do not have a job: b) are actively looking for work. Do not apply to these people the label "unemployed" which is sometimes judged offensive and which has a slightly different connotation. </svar> France 1968: Persons who are unemployed [discrepancies: none] This variable indicates the respondent's unemployment history. 0 Unemployed never having looked for work 1 Unemployed having already worked and looking for work for less than 3 months 2 Unemployed having already worked and looking for work for 3 to 6 months 3 Unemployed having already worked and looking for work for 6 months to less than a year 4 Unemployed having already worked and looking for work for more than a year 5 Unemployed having already worked and looking for work for an unknown period of time 6 Unemployed and not knowing if person has worked before or not 9 NIU (not in universe) Work Variables -- PERSON General education diploma <svar v="FR68A403 FR68A405 FR68A407 FR68A409 FR68A410 FR68A430 FR68A436 FR68A437 FR68A439">Education and professional formation (for all persons born before January 1st, 1962) [Applies to questions 8 - 11] </svar> <svar a="all" v="FR68A407 FR68A409 FR68A410 FR68A436">11. Among the following diplomas, indicate all of those which you have: <div class="i1">a. General education</div> <div class="i2">[] 1 Certificate of primary studies (C.E.P.) [Certificat d'études primaires] [] 2 Elementary certification (B.E.P.C.) [Brevet d'études du premier cycle], (B.E.) or junior high certification (B.E.P.S.) [Brevet d'enseignement primaire supérieur] [] 3 High school diploma (first part, junior year, second part), including the technical series, or superior certification [Brevet supérieur] [] 4 Diplomas of higher education after the complete high school diploma (diplomas given in universities, diplomas at the end of studies at large professional schools [Grandes Ecoles], public or private, engineering schools, etc.).</div> <div class="i1">b. Professional or technical education</div> <div class="i2">[] 1 Exam at the end of artisan's internship [] 2 Certificate at the end of a F.P.A internship [] 3 Professional aptitude certification (C.A.P.) [Certificat d'aptitude professionnel] [] 4 Professional certificate (B.P.) [Brevet professionel], Master's certificate [] 5 Professional business certificate (B.E.C.) [Brevet d'enseignement commercial], Industrial certificate (B.E.I.), social (B.E.S.), hotel management (B.E.H.), agriculture (B.E.A.), etc. [] 6 Student certified in the E.N.P. [Ecole nationale polytechnique] or from a technical high school, technical certificate or master technical certificate. [] 9 Other professional diplomas given by private schools or public institutions.</div> </svar> <svar a="all" v="FR68A407 FR68A409 FR68A410 FR68A436">5.6.5 Question 11: Diplomas Just as for question 11a (general education or college- level studies) as for question 11b (technical school and professional school), several boxes can be checked. Only people who really have a diploma given should check the box which refers to it, except for those who have taken the following classes, without having obtained the diploma but believe to have attained the level of the diploma. F.P.A. = professional adult education; E.N.P. = national professional school </svar> France 1968: Persons age 15+ not enrolled in an educational institution [discrepancies: none] This variable indicates the respondent's general education diploma. SAPHIR variables were constructed by the French statistical office to use consistent codes across censuses. 0 NIU (not in universe) 1 Certificate of primary studies (C.E.P.) 2 B.E.P.C.; B.E. ou B.E.P.S. 3 High school diploma (1st part; probationary period, 2nd part); including the technical series, or superior certificate 4 Superior level diploma or complete high school diploma 5 No diploma declared Education Variables -- PERSON Technical education degree or general education degree <svar v="FR68A403 FR68A405 FR68A407 FR68A409 FR68A410 FR68A430 FR68A436 FR68A437 FR68A439">Education and professional formation (for all persons born before January 1st, 1962) [Applies to questions 8 - 11] </svar> <svar a="all" v="FR68A407 FR68A409 FR68A410 FR68A436">11. Among the following diplomas, indicate all of those which you have: <div class="i1">a. General education</div> <div class="i2">[] 1 Certificate of primary studies (C.E.P.) [Certificat d'études primaires] [] 2 Elementary certification (B.E.P.C.) [Brevet d'études du premier cycle], (B.E.) or junior high certification (B.E.P.S.) [Brevet d'enseignement primaire supérieur] [] 3 High school diploma (first part, junior year, second part), including the technical series, or superior certification [Brevet supérieur] [] 4 Diplomas of higher education after the complete high school diploma (diplomas given in universities, diplomas at the end of studies at large professional schools [Grandes Ecoles], public or private, engineering schools, etc.).</div> <div class="i1">b. Professional or technical education</div> <div class="i2">[] 1 Exam at the end of artisan's internship [] 2 Certificate at the end of a F.P.A internship [] 3 Professional aptitude certification (C.A.P.) [Certificat d'aptitude professionnel] [] 4 Professional certificate (B.P.) [Brevet professionel], Master's certificate [] 5 Professional business certificate (B.E.C.) [Brevet d'enseignement commercial], Industrial certificate (B.E.I.), social (B.E.S.), hotel management (B.E.H.), agriculture (B.E.A.), etc. [] 6 Student certified in the E.N.P. [Ecole nationale polytechnique] or from a technical high school, technical certificate or master technical certificate. [] 9 Other professional diplomas given by private schools or public institutions.</div> </svar> <svar a="all" v="FR68A407 FR68A409 FR68A410 FR68A436">5.6.5 Question 11: Diplomas Just as for question 11a (general education or college- level studies) as for question 11b (technical school and professional school), several boxes can be checked. Only people who really have a diploma given should check the box which refers to it, except for those who have taken the following classes, without having obtained the diploma but believe to have attained the level of the diploma. F.P.A. = professional adult education; E.N.P. = national professional school </svar> France 1968: Persons age 15+ not enrolled in an educational institution [discrepancies: none] This variable indicates the respondent's technical education or general education degree. 00 NIU (not in universe) 10 Exam at the end of artist's apprenticeship 20 Certificate at the end of the F.P.A internship 30 Professional aptitude certificate (C.A.P.) 40 Professional certificate (B.P.), master certification 50 B.E.C., B.E.I.; B.E.S., B.E.H., B.E.A, ... 60 Student certified from the E.N.P. or a tech high school, technician's certificate or master technician 80 Various other professional degrees given through private schools or organizations 91 Non-technical education degree declared; C.E.P. 92 Non-technical education degree declared; B.E.P.C.; B.E. or B.E.P.S. 93 Non-technical education degree declared; high school diploma (1st part, probationary period, 2nd part) 94 Certificate of the upper level or complete baccalaureate; no general degree declared 98 Non-technical education degree declared; no general degree declared Education Variables -- PERSON Citizenship <svar a="all" v="FR68A411 FR68A423 FR68A434 FR68A435">5. Nationality <div class="i1">[] French by birth (including by reintegration) [] French by naturalization, marriage, declaration or option Indicate your previous nationality ____ [] Foreigner Indicate your nationality ____</div> </svar> Question 5: Indicate your nationality in the line which begins with "Etranger". France 1968: All persons This variable indicates if the respondent is of French nationality. 1 French by birth 2 Naturalized citizen 3 Foreigner Nativity and Birthplace Variables -- PERSON Age <svar a="all" v="FR68A412 FR68A413 FR68A415 FR68A431">4. Date and place of birth <div class="i1">Born on (day, month, year) ____ in city (for Paris, Lyon, Marseille, include the city neighborhood ____ Department (or country for territories overseas and for foreigners) ____ If you were born in a overseas territory or abroad, specify the year of your arrival in France. ____</div> </svar> <svar a="all" v="FR68A412 FR68A415 FR68A431">5.6.1 Question 4: Date and place of birth. Make sure, while collecting the completed forms, that the people born outside of Metropolitan France have clearly indicated the year of their arrival in France. In the case of people who have come to live in France many times, it is necessary to indicate the year of the first time they lived in Metropolitan France. </svar> France 1968: All persons This variable indicates the respondent's age in years. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 + Demographic Variables -- PERSON Age in calendar year <svar a="all" v="FR68A412 FR68A413 FR68A415 FR68A431">4. Date and place of birth <div class="i1">Born on (day, month, year) ____ in city (for Paris, Lyon, Marseille, include the city neighborhood ____ Department (or country for territories overseas and for foreigners) ____ If you were born in a overseas territory or abroad, specify the year of your arrival in France. ____</div> </svar> <svar a="all" v="FR68A412 FR68A415 FR68A431">5.6.1 Question 4: Date and place of birth. Make sure, while collecting the completed forms, that the people born outside of Metropolitan France have clearly indicated the year of their arrival in France. In the case of people who have come to live in France many times, it is necessary to indicate the year of the first time they lived in Metropolitan France. </svar> France 1968: All persons This variable indicates the respondent's age in rounded years (i.e., the age that will be attained in the course of year 1968). 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 + Demographic Variables -- PERSON Industry, 41 categories <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="FR68A414" v="FR68A405 FR68A414 FR68A437">12. Main profession: Indicate the profession or the occupation which you are currently practicing (even if you are still only an apprentice or if you are working by helping a member of your family in his/her work.) A woman who is taking care of her home should answer "no profession". <div class="i1">____</div> Be specific: Examples: auto repair mechanic, clothing producer, steel worker, draftsman, electrical engineer, grain broker, wine-producer, driver of large trucks, swine breeder, hairdresser, shorthand typist, etc. </svar> <svar a="FR68A414" v="FR68A405 FR68A414 FR68A437">Question 12: Main profession. Attentively read the explanations and the examples given on the individual forms, as well as the instructions hereafter. Examples of bad answers not to accept in any situation [left column] / Comments [right column] 1) Bad answers because they aren't specific enough. Employee, worker, building worker, engineer, executive, director / Indicate exactly the job of the person concerned, for example: salesperson at a department store, bank employee, lathe operator, chemical engineer, plasterer, expert forester, business director. Government employee, SNCF employee, EDF employee / For government employees and public service employees, specify the rank or the job, for example: representative of the prefecture, clerk of the PTT, second class stationmaster, driver of a diesel locomotive, EDF dispatcher. Merchant, industrialist, farmer, entrepreneur, craftsman, administrator / Answer, for example: retail grocer, wholesaler in pharmaceutical products, masonry entrepreneur, residential building director, movie theater employee 2) Bad answers because they are incomplete. O.S., O.P., Qualified worker, team leader, foreman / these labels indicate the situation in the professional hierarchy, but do not give any information on the individual profession of the person concerned. On the other hand, the following answers are satisfactory: O.S. (specialized worker) in rope or yarn winding, textile mill foreman </svar> France 1968: Active persons who had a job [discrepancies: none] This variable indicates the respondent's economic activity in 41 categories. 01 Fishing 11 Agriculture, forestry 21 Solid combustible materials 22 Other excavating industries 31 Buildings and public works 41 Production and first conversion of metals 42 Mechanical industries 43 Various metal works 44 Electrical constructions 45 Mechanical and electrical repair 46 Glass, ceramic, construction materials 47 Petrolium and fuel 48 Chemical industries 49 Tobacco and matches 51 Food industries and similar activities 52 Textile industries and similar work 53 Clothing and fabrics industries 54 Leather and skins industries 55 Wood industries and furniture-making 56 Paper and cardboard industries 57 Industries polygraphiques, presse, edition 58 Other industries 59 Industries not clearly defined 61 Land transportation 62 Freshwater navigation, maritime transportation and air 71 Agricultural and food businesses (wholesale) 72 Agricultural and food businesses (retail) 73 Inns and alcoholic beverage distributer 74 Other wholesale businesses 75 Other retail businesses 76 Businesses not clearly defined 77 Intermediaries of businesses and industries 78 Banks and insurance 79 Ticketmaster 81 Services rendered to enterprises 82 Domestic cleaning 83 Services for specific individuals 91 Water, gas, electric 92 Transmissions and radio 93 Public administrations 94 National defense 99 NIU (not in universe) Work: Industry Variables -- PERSON Region of birth <svar a="all" v="FR68A412 FR68A413 FR68A415 FR68A431">4. Date and place of birth <div class="i1">Born on (day, month, year) ____ in city (for Paris, Lyon, Marseille, include the city neighborhood ____ Department (or country for territories overseas and for foreigners) ____ If you were born in a overseas territory or abroad, specify the year of your arrival in France. ____</div> </svar> <svar a="all" v="FR68A412 FR68A415 FR68A431">5.6.1 Question 4: Date and place of birth. Make sure, while collecting the completed forms, that the people born outside of Metropolitan France have clearly indicated the year of their arrival in France. In the case of people who have come to live in France many times, it is necessary to indicate the year of the first time they lived in Metropolitan France. </svar> France 1968: All persons This variable indicates the respondent's French region of birth. 00 Born outside of Metropolitan France 11 Parisian region 21 Champagne 22 Picardie 23 Haute-Normandie 24 Centre 25 Basse-Normandie 26 Bourgogne 31 Nord 41 Lorraine 42 Alsace 43 Franche-Comte 52 Pays de la Loire 53 Bretagne 54 Poitou-Charentes 72 Aquitaine 73 Midi Pyrenees 74 Limousin 82 Rhone-Alpes 83 Auvergne 91 Languedoc-Roussillon 93 Provence Cote d'Azur 94 Corsica Nativity and Birthplace Variables -- PERSON Region of previous residence <svar a="all" v="FR68A416 FR68A432 FR68A440">7. Where were you living on January 1st, 1962? (for all people born before January 1st, 1962). <div class="i1">City (for Paris, Lyon, Marseille, include the city neighborhood) ____ Department (or country, for overseas territories and abroad) ____</div> If, on January 1st, 1962, you were living in the same address as now, indicate, "same address". If you were in the military at that time or a boarding student or undergoing treatment in a care facility, indicate the address of your personal residence at that date and not that of the establishment (barrack, boarding school, sanatorium, etc.). If, on January 1st, 1962, you were living in an overseas territory or abroad, when did you come (or return) to live in Metropolitan France? <div class="i1">Month ____ Year ____ 196 _</div> </svar> <svar a="all" v="FR68A416 FR68A432 FR68A440">5.6.3 Question 7: Residence on January 1st, 1962. This question is dedicated to the study of migrations to the inside of France in the period of 1962- 1968. This information will inform researchers about the immigration of the foreigner or of the countries located outside of Metropolitan France. Make sure that the people who were living outside of France on January 1st, 1968 have correctly indicated the year of their arrival in France. This applies as well to French citizens as well as foreigners who were living outside of Metropolitan France on January 1st, 1962. In the situation where some people would have made several visits since 1962 in France, it will be necessary to indicate the corresponding year at the beginning of the current visit. However, you should keep track of the absences from Metropolitan France which have lasted more than 3 months. Example: A house servant who was living in Spain on January 1st, 1962 came to work in France during the whole year of 1963. Returning to Spain at the beginning of 1964, she comes back to France in September 1966. She has spent her vacation of 1967 (August) in Spain. In this situation, answer: 1966. [Footnote] (1) However, you will not count a foreigner who has nothing in France but a secondary residence (country home, vacation home, etc.) His secondary residence will nevertheless be counted, as pointed out in paragraph 4.2.7. </svar> France 1968: All persons This variable indicates the respondent's region of previous residence. 00 Previous residence outside of Metropolitan France 11 Parisian region 21 Champagne 22 Picardie 23 Haute-Normandie 24 Centre 25 Basse-Normandie 26 Bourgogne 31 Nord 41 Lorraine 42 Alsace 43 Franche-Comte 52 Pays de la Loire 53 Bretagne 54 Poitou-Charentes 72 Aquitaine 73 Midi Pyrenees 74 Limousin 82 Rhone-Alpes 83 Auvergne 91 Lanquedoc-Roussillon 93 Provence Cote d'Azur 94 Corsica Migration: Global Variables -- PERSON Relationship to head of family France 1968: Persons within a family [discrepancies: none] This variable indicates the respondent's relationship to the head of the family, when she belongs to one. 0 NIU (not in universe) 1 Head of family 2 Partner (legitimate or not) 3 Child Demographic Variables -- PERSON Relationship to head of household France 1968: Persons in private, ordinary dwellings [discrepancies: none] This variable indicates the respondent's relationship to the head of the household. 0 NIU (not in universe) 1 Head of household 2 Legitimate spouse 3 Illegitimate partner 4 Child (of the head or his/her spouse or grandchild) 5 Older family member (father, mother, grandparent) 6 Other family member 7 Friend 8 Renter, person subletting 9 Maid or paid worker living there Demographic Variables -- PERSON Marital status <svar a="all" v="FR68A419">3. Marital status Put a cross in the only box which corresponds to your current situation. Thus, a widower (or a divorced man) who is remarried will mark the second box. <div class="i1">[] 1 Single [] 2 Married [] 3 Widow(er) [] 4 Divorced</div> </svar> France 1968: All persons This variable indicates the respondent's marital status. 1 Single 2 Married 3 Widow 4 Divorce Demographic Variables -- PERSON Main form of transportation <svar a="all" v="FR68A420 FR68A421 FR68A422 FR68A424">Means of Transportation Used (for every person born before January 1st, 1962 who practices a professional activity or who is still in school) 19. Do you usually use a means of transportation in order get to your workplace or your classes? <div class="i1">[] No (work at home, distance made entirely by foot) [] Yes: Indicate this (or these) means: for example: train, subway, bus, light rail, car, bicycle, moped, business vehicle, etc. If you usually use several means of transportation successively, indicate them in the order in which you use them beginning from your home:</div> <div class="i2">First means of transportation ____ Second means of transportation ____ Third means of transportation ____</div> </svar> <svar a="all" v="FR68A420 FR68A421 FR68A422 FR68A424">5.6.7 Question 19: Means of transportation This question is for all people who, born before January 1st, 1962, practice a professional activity or are currently going to school (people having declared a profession in question 12 or having answered YES to question 8). You will especially make sure that the students have not forgotten to answer this question. </svar> France 1968: Persons age 6+ who were practicing professional activity or were going to school [discrepancies: unverified] This variable indicates the main form of transportation for respondents whose workplace or place of study was specified in the individual form. 0 None 1 Train 2 Subway 3 Other form of transportation (bus) 4 Special vehicle (company car, school bus) 5 Moped or motorcycle 6 Bicycle 7 Personal vehicle 8 No answer 9 NIU (not in universe) Work Variables -- PERSON Second means of transportation <svar a="all" v="FR68A420 FR68A421 FR68A422 FR68A424">Means of Transportation Used (for every person born before January 1st, 1962 who practices a professional activity or who is still in school) 19. Do you usually use a means of transportation in order get to your workplace or your classes? <div class="i1">[] No (work at home, distance made entirely by foot) [] Yes: Indicate this (or these) means: for example: train, subway, bus, light rail, car, bicycle, moped, business vehicle, etc. If you usually use several means of transportation successively, indicate them in the order in which you use them beginning from your home:</div> <div class="i2">First means of transportation ____ Second means of transportation ____ Third means of transportation ____</div> </svar> <svar a="all" v="FR68A420 FR68A421 FR68A422 FR68A424">5.6.7 Question 19: Means of transportation This question is for all people who, born before January 1st, 1962, practice a professional activity or are currently going to school (people having declared a profession in question 12 or having answered YES to question 8). You will especially make sure that the students have not forgotten to answer this question. </svar> France 1968: Persons age 6+ who were practicing professional activity or were going to school [discrepancies: unverified] This variable indicates the second form of transportation for respondents whose workplace or place of study was specified in the individual form. 0 None 1 Train 2 Subway 3 Other kind of public transportation (bus) 4 Special vehicle (company car, school bus) 5 Moped or motorcycle 6 Bicycle 7 Personal vehicle 8 No answer 9 NIU (not in universe) Work Variables -- PERSON Third means of transportation <svar a="all" v="FR68A420 FR68A421 FR68A422 FR68A424">Means of Transportation Used (for every person born before January 1st, 1962 who practices a professional activity or who is still in school) 19. Do you usually use a means of transportation in order get to your workplace or your classes? <div class="i1">[] No (work at home, distance made entirely by foot) [] Yes: Indicate this (or these) means: for example: train, subway, bus, light rail, car, bicycle, moped, business vehicle, etc. If you usually use several means of transportation successively, indicate them in the order in which you use them beginning from your home:</div> <div class="i2">First means of transportation ____ Second means of transportation ____ Third means of transportation ____</div> </svar> <svar a="all" v="FR68A420 FR68A421 FR68A422 FR68A424">5.6.7 Question 19: Means of transportation This question is for all people who, born before January 1st, 1962, practice a professional activity or are currently going to school (people having declared a profession in question 12 or having answered YES to question 8). You will especially make sure that the students have not forgotten to answer this question. </svar> France 1968: Persons age 6+ practice who a professional activity or are currently going to school [unverifiable] This variable indicates the third form of transportation for respondents whose workplace or place of study was specified in the individual form. 0 None 1 Train 2 Subway 3 Other form of public transportation (bus) 4 Special vehicle (company car, school bus) 5 Moped or motorcycle 6 Bicycle 7 Individual car 8 No answer 9 NIU (not in universe) Work Variables -- PERSON Nationality <svar a="all" v="FR68A411 FR68A423 FR68A434 FR68A435">5. Nationality <div class="i1">[] French by birth (including by reintegration) [] French by naturalization, marriage, declaration or option Indicate your previous nationality ____ [] Foreigner Indicate your nationality ____</div> </svar> Question 5: Indicate your nationality in the line which begins with "Etranger". France 1968: All persons This variable indicates the respondent's nationality, French, Algerian, or Foreigner. 0 French except for Muslims born in Algeria 1 French Muslims born in Algeria 2 Algerians 3 Foreigners from counties in the European market 4 Foreigners of selected other countries 5 Other foreigners Nativity and Birthplace Variables -- PERSON Number of forms of transportation <svar a="all" v="FR68A420 FR68A421 FR68A422 FR68A424">Means of Transportation Used (for every person born before January 1st, 1962 who practices a professional activity or who is still in school) 19. Do you usually use a means of transportation in order get to your workplace or your classes? <div class="i1">[] No (work at home, distance made entirely by foot) [] Yes: Indicate this (or these) means: for example: train, subway, bus, light rail, car, bicycle, moped, business vehicle, etc. If you usually use several means of transportation successively, indicate them in the order in which you use them beginning from your home:</div> <div class="i2">First means of transportation ____ Second means of transportation ____ Third means of transportation ____</div> </svar> <svar a="all" v="FR68A420 FR68A421 FR68A422 FR68A424">5.6.7 Question 19: Means of transportation This question is for all people who, born before January 1st, 1962, practice a professional activity or are currently going to school (people having declared a profession in question 12 or having answered YES to question 8). You will especially make sure that the students have not forgotten to answer this question. </svar> France 1968: Persons who work or study and regularly use a means of transportation for this activity [unverifiable] This variable indicates the number of forms of transportation for respondents whose workplace or place of study was specified in the individual form. 0 0 form of transportation 1 1 form of transportation 2 2 forms of transportation 3 3 forms of transportation 4 No answer 9 NIU (not in universe) Work Variables -- PERSON Number of paid workers <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="FR68A406 FR68A425" v="FR68A405 FR68A406 FR68A425 FR68A438">14. Do you practice your main profession declared in question 12 as: <div class="i1">[] 2 Owner, farmer, sharecropper. [] 3 Member of a free-market profession [] 4 Employer or self-employed: artisan, merchant, industrialist, etc. (self-employed, including managers of the S.A.R.L. [Société responsabilité limitée] and people only working on commission). [For any of the above options:]</div> <div class="i2">Do you hire employees? Do not count servants at home in your service. In agriculture, only count permanent paid workers. [] Yes How many?</div> <div class="i3">[] 1 1 to 2 [] 3 3 to 5 [] 6 6 or more</div> <div class="i2">[] 0 No</div> <div class="i1">[] 5 Person working at home for one (or more) businesses. [] 6 Apprenticed under contract. [] 7 Paid worker : answer questions 15a, 15b or 15c below:</div> </svar> <svar a="FR68A406 FR68A425" v="FR68A405 FR68A406 FR68A425 FR68A438">Question 14: Professional status. Category 5: "Worker at home for a total of one or more businesses" does not allow for people who work at their home for their own business (artisans, sewers, stylists). This category applies on the other hand to people who do work at their home, often as they will, for the affairs of an industrial or commercial establishment who reimburses them for this. Such is the case, for example of some newspapers designers, of people working for clothing industries or performing secretarial work for the affairs of some administrations, etc. </svar> France 1968: Proprietors, professionals, employers and self-employed persons [unverified] This variable indicates the respondent's number of paid employees. 0 No workers 1 1 or 2 paid workers 2 3 to 5 paid workers 3 6 paid workers or more 4 Number not declared 9 NIU (not in universe) Work Variables -- PERSON Number of corrections made for the individual France 1968: All persons This variable indicates the number of corrections made in the respondent's form. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 + Other Person Variables -- PERSON Region of workplace <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="all" v="FR68A401 FR68A427 FR68A433">16. Business (industrial or other) Farm, etc, which you are in charge of or where you work <div class="i1">a. Name (or corporate name) and address:</div> <div class="i2">Name ____ Street ____ Number ____ City (for Paris, Lyon, Marseille, include the city neighborhood) ____ Department ____</div> <div class="i1">b. Purpose of this business: ____ Be specific: Examples: whole-sale wine production, retail grocery store, manufacture of steel structures, cotton mill, highway transport of passengers, truck farmer, etc. c. If you are not working at the address of the business, indicate the address of your usual workplace:</div> <div class="i2">Street ____ Number ____ City (for Paris, Lyon, Marseille, include the city neighborhood) ____ Department ____</div> <div class="i1">If, during your work, you must travel a lot (for example, train personnel of the S.N.C.F., bus drivers, etc.) indicate the place where you go ordinarily to do your work (train station, bus depot, etc.) If you do not always do your work at the same place (for example, travelers on business), answer "variable". If you work at home, indicate "at home".</div> </svar> <svar a="all" v="FR68A401 FR68A427 FR68A433">Question 16: Where do you work? This question affects each person who has declared a profession in question 11, including employees of public services, of local communities and government employees who should indicate in 16b the name of the administration which employs them. Some people have several employers (housemaids working for several individuals). In this case, indicate the main employer (this is to say the individual where the person completes the most number of hours). In some cases, the address of the workplace (question 16a) can coincide with that of the home (merchants especially): it is necessary nevertheless to write it down again. </svar> France 1968: Active persons [discrepancies: none] This variable indicates the respondent's region of workplace. 00 Workplace is outside of France 11 Parisian region 21 Champagne 22 Picardie 23 Haute-Normandie 24 Centre 25 Basse-Normandie 26 Bourgogne 31 Nord 41 Lorraine 42 Alsace 43 Franche-Comte 52 Pays de la Loire 53 Bretagne 54 Poitou-Charentes 72 Aquitaine 73 Midi Pyrenees 74 Limousin 82 Rhone-Alpes 83 Auvergne 91 Lanquedoc-Roussillon 93 Provence Cote d'Azur 94 Corsica 99 NIU (not in universe) Work Variables -- PERSON Sex <svar a="all" v="FR68A428">2. Sex <div class="i1">[] 1 Male [] 2 Female</div> </svar> France 1968: All persons This variable indicates the respondent's gender. 1 Male 2 Female Demographic Variables -- PERSON Qualification <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="FR68A429" v="FR68A429 FR68A438">15a. If you are a worker, specify the qualification for your current job: <div class="i1">[] 1 Unskilled laborer or specialized laborer [] 2 Specialized worker (OS1, OS2, ...). [] 3 Skilled worker or highly qualified (P1, P2, P3...)</div> 15b. If you are an employee of the state, a local town or a public service (E.D.F. "Electricité de France", S.N.C.F. "Société nationale des chemins de fer", etc.) or military by career, specify your rank: <div class="i1">____</div> Examples: administrative secretary, second-class stationmaster, typist, etc. 15c. If you are in a different situation, specify your position in the organization: <div class="i1">____</div> Examples: supervisor, workshop manager, department store head, etc. </svar> <svar a="FR68A429" v="FR68A429 FR68A438">Question 15: Certification Make sure that the people who have declared to be salaried on question 13 specify their certification, rank or hierarchical position on questions 14a, 14b or 14c, according to the situation. </svar> France 1968: Persons age 15+ who are active, looking for work, or in the military [discrepancies: none] This variable indicates the respondent's qualification (information is provided only for active persons, excluding all persons of age 14 or below and those whose only activity is studying). 1 Unskilled agricultural worker 2 Specialized agricultural worker 3 Specialized laborer 4 Specialized worker 5 Skilled worker or highly qualified 6 Supervisor; workshop leader; construction boss; head farmer, team leader, foreman 7 Not declared or not applicable 8 Undocumented 9 NIU (not in universe) Work Variables -- PERSON Employment status <svar v="FR68A403 FR68A405 FR68A407 FR68A409 FR68A410 FR68A430 FR68A436 FR68A437 FR68A439">Education and professional formation (for all persons born before January 1st, 1962) [Applies to questions 8 - 11] </svar> <svar a="all" v="FR68A405 FR68A430 FR68A437 FR68A439">8. Are you currently a student? <div class="i1">[] Yes (Answer question 9) [] No (Answer questions 10 and 11)</div> Do not answer "yes" unless you are taking classes (including professional or technical classes) or at the university for the normal duration of the school year. If you are apprenticed under contract, if you are not taking any classes except for some professional classes part-time, or classes by correspondence for perfecting your skills, seasonal agricultural classes, etc. answer "no". </svar> <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="FR68A408" v="FR68A408 FR68A430">17. If you are currently without work and if you are looking for some: <div class="i1">a. Have you already worked?</div> <div class="i2">[] Yes [] No</div> <div class="i1">b. What is your occupation? ____ c. How long have you been looking for work?</div> <div class="i2">[] 1 less than 3 months [] 2 from 3 to 6 months [] 3 from 6 months to less than a year [] 4 a year or more</div> </svar> <svar v="FR68A430">Question 8: Students must answer "Yes". Others must answer "No" </svar> France 1968: All persons This variable indicates the respondent's employment status (i.e., whether she is active or not, and if active, whether she is working or not). 0 Inactive other than those listed below 1 Active individuals with a job 2 Active individuals with a job, but simultaneously taking classes 3 People without a job and looking for work 4 People who used to be actively working (retired, retired from business) 5 Students born before January 1st, 1968 6 Military of the contingent Work Variables -- PERSON SAPHIR region of birthplace <svar a="all" v="FR68A412 FR68A413 FR68A415 FR68A431">4. Date and place of birth <div class="i1">Born on (day, month, year) ____ in city (for Paris, Lyon, Marseille, include the city neighborhood ____ Department (or country for territories overseas and for foreigners) ____ If you were born in a overseas territory or abroad, specify the year of your arrival in France. ____</div> </svar> <svar a="all" v="FR68A412 FR68A415 FR68A431">5.6.1 Question 4: Date and place of birth. Make sure, while collecting the completed forms, that the people born outside of Metropolitan France have clearly indicated the year of their arrival in France. In the case of people who have come to live in France many times, it is necessary to indicate the year of the first time they lived in Metropolitan France. </svar> France 1968: Persons born in France [discrepancies: none] This variable indicates the respondent's SAPHIR French region of birth. SAPHIR variables were constructed by the French statistical office to use consistent codes across censuses. 00 NIU (not in universe) 11 Parisian region 21 Champagne Ardenne 22 Picardie 23 Haute-Normandie 24 Centre 25 Basse-Normandie'26 'Bourgogne 26 Bourgogne 31 Nord-Pas-de-Calais 41 Lorraine 42 Alsace 43 Franche-Comte 52 Pays-de-Loire 53 Bretagne 54 Poitou-Charentes 72 Aquitaine 73 Midi-Pyrenees 74 Limousin 82 Rhone-Alpes 83 Auvergne 91 Languedoc-Roussillon 93 Provence-Alpes-Côte d'Azur 94 Corsica Nativity and Birthplace Variables -- PERSON SAPHIR region of previous residence <svar a="all" v="FR68A416 FR68A432 FR68A440">7. Where were you living on January 1st, 1962? (for all people born before January 1st, 1962). <div class="i1">City (for Paris, Lyon, Marseille, include the city neighborhood) ____ Department (or country, for overseas territories and abroad) ____</div> If, on January 1st, 1962, you were living in the same address as now, indicate, "same address". If you were in the military at that time or a boarding student or undergoing treatment in a care facility, indicate the address of your personal residence at that date and not that of the establishment (barrack, boarding school, sanatorium, etc.). If, on January 1st, 1962, you were living in an overseas territory or abroad, when did you come (or return) to live in Metropolitan France? <div class="i1">Month ____ Year ____ 196 _</div> </svar> <svar a="all" v="FR68A416 FR68A432 FR68A440">5.6.3 Question 7: Residence on January 1st, 1962. This question is dedicated to the study of migrations to the inside of France in the period of 1962- 1968. This information will inform researchers about the immigration of the foreigner or of the countries located outside of Metropolitan France. Make sure that the people who were living outside of France on January 1st, 1968 have correctly indicated the year of their arrival in France. This applies as well to French citizens as well as foreigners who were living outside of Metropolitan France on January 1st, 1962. In the situation where some people would have made several visits since 1962 in France, it will be necessary to indicate the corresponding year at the beginning of the current visit. However, you should keep track of the absences from Metropolitan France which have lasted more than 3 months. Example: A house servant who was living in Spain on January 1st, 1962 came to work in France during the whole year of 1963. Returning to Spain at the beginning of 1964, she comes back to France in September 1966. She has spent her vacation of 1967 (August) in Spain. In this situation, answer: 1966. [Footnote] (1) However, you will not count a foreigner who has nothing in France but a secondary residence (country home, vacation home, etc.) His secondary residence will nevertheless be counted, as pointed out in paragraph 4.2.7. </svar> France 1968: Persons who previously resided in France [discrepancies: none] This variable indicates the respondent's SAPHIR French region of previous residence. SAPHIR variables were constructed by the French statistical office to use consistent codes across censuses. 11 Parisian region 21 Champagne Ardenne 22 Picardie 23 Haute-Normandie 24 Centre 25 Basse-Normandie 26 Bourgogne 31 Nord-Pas-de-Calais 41 Lorraine 42 Alsace 43 Franche-Comte 52 Pays-de-Loire 53 Bretagne 54 Poitou-Charentes 72 Aquitaine 73 Midi-Pyrenees 74 Limousin 82 Rhone-Alpes 83 Auvergne 91 Languedoc-Roussillon 93 PACA 94 Corsica 99 NIU (not in universe) Migration: Global Variables -- PERSON SAPHIR region of workplace <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="all" v="FR68A401 FR68A427 FR68A433">16. Business (industrial or other) Farm, etc, which you are in charge of or where you work <div class="i1">a. Name (or corporate name) and address:</div> <div class="i2">Name ____ Street ____ Number ____ City (for Paris, Lyon, Marseille, include the city neighborhood) ____ Department ____</div> <div class="i1">b. Purpose of this business: ____ Be specific: Examples: whole-sale wine production, retail grocery store, manufacture of steel structures, cotton mill, highway transport of passengers, truck farmer, etc. c. If you are not working at the address of the business, indicate the address of your usual workplace:</div> <div class="i2">Street ____ Number ____ City (for Paris, Lyon, Marseille, include the city neighborhood) ____ Department ____</div> <div class="i1">If, during your work, you must travel a lot (for example, train personnel of the S.N.C.F., bus drivers, etc.) indicate the place where you go ordinarily to do your work (train station, bus depot, etc.) If you do not always do your work at the same place (for example, travelers on business), answer "variable". If you work at home, indicate "at home".</div> </svar> <svar a="all" v="FR68A401 FR68A427 FR68A433">Question 16: Where do you work? This question affects each person who has declared a profession in question 11, including employees of public services, of local communities and government employees who should indicate in 16b the name of the administration which employs them. Some people have several employers (housemaids working for several individuals). In this case, indicate the main employer (this is to say the individual where the person completes the most number of hours). In some cases, the address of the workplace (question 16a) can coincide with that of the home (merchants especially): it is necessary nevertheless to write it down again. </svar> France 1968: Active persons whose jobs are located in France [discrepancies: none] This variable indicates the respondent's SAPHIR French region of workplace. SAPHIR variables were constructed by the French statistical office to provide consistent variables across censuses. 11 Parisian region 21 Champagne Ardenne 22 Picardie 23 Haute-Normandie 24 Centre 25 Basse-Normandie 26 Bourgogne 31 Nord-Pas-de-Calais 41 Lorraine 42 Alsace 43 Franche-Comte 52 Pays-de-Loire 53 Bretagne 54 Poitou-Charentes 72 Aquitaine 73 Midi-Pyrenees 74 Limousin 82 Rhone-Alpes 83 Auvergne 91 Languedoc-Roussillon 93 PACA 94 Corsica 99 NIU (not in universe) Work Variables -- PERSON SAPHIR citizenship <svar a="all" v="FR68A411 FR68A423 FR68A434 FR68A435">5. Nationality <div class="i1">[] French by birth (including by reintegration) [] French by naturalization, marriage, declaration or option Indicate your previous nationality ____ [] Foreigner Indicate your nationality ____</div> </svar> France 1968: All persons This variable indicates whether the respondent is French by birth, naturalization, or neither. 1 French by birth 2 French by naturalization 3 Foreign Nativity and Birthplace Variables -- PERSON SAPHIR nationality <svar a="all" v="FR68A411 FR68A423 FR68A434 FR68A435">5. Nationality <div class="i1">[] French by birth (including by reintegration) [] French by naturalization, marriage, declaration or option Indicate your previous nationality ____ [] Foreigner Indicate your nationality ____</div> </svar> France 1968: All persons This variable indicates the respondent's SAPHIR nationality. SAPHIR variables were constructed by the French statistical office to use consistent codes across censuses. 11 French by birth 12 French by naturalization 21 German 22 Belgian 23 Luxemburger 24 Italian 25 Spanish 26 Portuguese 27 Other countries of the CEE 31 Swiss 32 Polish 33 Other Europeans except Turks and URSS 41 Algerians 42 Marocans 43 Tunisians 44 Other Africans 51 Turks and Armenians 52 Vietnamese 53 Laotians 54 Cambodians (Khmers) 55 Other Asians (except URSS) 61 Other nationalities Nativity and Birthplace Variables -- PERSON SAPHIR diploma <svar v="FR68A403 FR68A405 FR68A407 FR68A409 FR68A410 FR68A430 FR68A436 FR68A437 FR68A439">Education and professional formation (for all persons born before January 1st, 1962) [Applies to questions 8 - 11] </svar> <svar a="all" v="FR68A407 FR68A409 FR68A410 FR68A436">11. Among the following diplomas, indicate all of those which you have: <div class="i1">a. General education</div> <div class="i2">[] 1 Certificate of primary studies (C.E.P.) [Certificat d'études primaires] [] 2 Elementary certification (B.E.P.C.) [Brevet d'études du premier cycle], (B.E.) or junior high certification (B.E.P.S.) [Brevet d'enseignement primaire supérieur] [] 3 High school diploma (first part, junior year, second part), including the technical series, or superior certification [Brevet supérieur] [] 4 Diplomas of higher education after the complete high school diploma (diplomas given in universities, diplomas at the end of studies at large professional schools [Grandes Ecoles], public or private, engineering schools, etc.).</div> <div class="i1">b. Professional or technical education</div> <div class="i2">[] 1 Exam at the end of artisan's internship [] 2 Certificate at the end of a F.P.A internship [] 3 Professional aptitude certification (C.A.P.) [Certificat d'aptitude professionnel] [] 4 Professional certificate (B.P.) [Brevet professionel], Master's certificate [] 5 Professional business certificate (B.E.C.) [Brevet d'enseignement commercial], Industrial certificate (B.E.I.), social (B.E.S.), hotel management (B.E.H.), agriculture (B.E.A.), etc. [] 6 Student certified in the E.N.P. [Ecole nationale polytechnique] or from a technical high school, technical certificate or master technical certificate. [] 9 Other professional diplomas given by private schools or public institutions.</div> </svar> <svar a="all" v="FR68A407 FR68A409 FR68A410 FR68A436">5.6.5 Question 11: Diplomas Just as for question 11a (general education or college- level studies) as for question 11b (technical school and professional school), several boxes can be checked. Only people who really have a diploma given should check the box which refers to it, except for those who have taken the following classes, without having obtained the diploma but believe to have attained the level of the diploma. F.P.A. = professional adult education; E.N.P. = national professional school </svar> France 1968: Persons age 17+ [discrepancies: none] This variable indicates the respondent's SAPHIR diploma. SAPHIR variables were constructed by the French statistical office to provide consistent variables across censuses. 00 Not declared (age 16 +) 21 CEP, certificate at the end of internship 22 BEPC 30 CAP, BEP 40 BAC, BP, BT, BEA, BEC, BEI, ... 61 BAC+ 62 Bachelor's degree, BTS 63 Graduate degree, Engineers 99 NIU (not in universe) Education Variables -- PERSON SAPHIR type of activity <svar v="FR68A403 FR68A405 FR68A407 FR68A409 FR68A410 FR68A430 FR68A436 FR68A437 FR68A439">Education and professional formation (for all persons born before January 1st, 1962) [Applies to questions 8 - 11] </svar> <svar a="all" v="FR68A405 FR68A430 FR68A437 FR68A439">8. Are you currently a student? <div class="i1">[] Yes (Answer question 9) [] No (Answer questions 10 and 11)</div> Do not answer "yes" unless you are taking classes (including professional or technical classes) or at the university for the normal duration of the school year. If you are apprenticed under contract, if you are not taking any classes except for some professional classes part-time, or classes by correspondence for perfecting your skills, seasonal agricultural classes, etc. answer "no". </svar> <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="FR68A414" v="FR68A405 FR68A414 FR68A437">12. Main profession: Indicate the profession or the occupation which you are currently practicing (even if you are still only an apprentice or if you are working by helping a member of your family in his/her work.) A woman who is taking care of her home should answer "no profession". <div class="i1">____</div> Be specific: Examples: auto repair mechanic, clothing producer, steel worker, draftsman, electrical engineer, grain broker, wine-producer, driver of large trucks, swine breeder, hairdresser, shorthand typist, etc. </svar> <svar v="FR68A405 FR68A437 FR68A439">18. If you don't work anymore: <div class="i1">(You are, for example, retired from public service, a retired executive, old retired worker, former farmer, retired from business, etc.) What is your main profession? ____</div> </svar> <svar a="FR68A414" v="FR68A405 FR68A414 FR68A437">Question 12: Main profession. Attentively read the explanations and the examples given on the individual forms, as well as the instructions hereafter. Examples of bad answers not to accept in any situation [left column] / Comments [right column] 1) Bad answers because they aren't specific enough. Employee, worker, building worker, engineer, executive, director / Indicate exactly the job of the person concerned, for example: salesperson at a department store, bank employee, lathe operator, chemical engineer, plasterer, expert forester, business director. Government employee, SNCF employee, EDF employee / For government employees and public service employees, specify the rank or the job, for example: representative of the prefecture, clerk of the PTT, second class stationmaster, driver of a diesel locomotive, EDF dispatcher. Merchant, industrialist, farmer, entrepreneur, craftsman, administrator / Answer, for example: retail grocer, wholesaler in pharmaceutical products, masonry entrepreneur, residential building director, movie theater employee 2) Bad answers because they are incomplete. O.S., O.P., Qualified worker, team leader, foreman / these labels indicate the situation in the professional hierarchy, but do not give any information on the individual profession of the person concerned. On the other hand, the following answers are satisfactory: O.S. (specialized worker) in rope or yarn winding, textile mill foreman </svar> France 1968: All persons This variable indicates the respondent's SAPHIR type of activity. SAPHIR variables were constructed by the French statistical office to provide consistent variables across censuses. 1 Agriculture 2 BTP Industry 3 Tertiary 4 Unemployed 5 Students 6 Military of the contingent 7 Formerly active 8 Other inactive individuals Work Variables -- PERSON SAPHIR class of worker <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar a="all" v="FR68A438">13. Do you work without pay, by helping another person in your profession ( a member of your family, for example)? <div class="i1">[] 1 Yes [] No</div> </svar> <svar a="FR68A406 FR68A425" v="FR68A405 FR68A406 FR68A425 FR68A438">14. Do you practice your main profession declared in question 12 as: <div class="i1">[] 2 Owner, farmer, sharecropper. [] 3 Member of a free-market profession [] 4 Employer or self-employed: artisan, merchant, industrialist, etc. (self-employed, including managers of the S.A.R.L. [Société responsabilité limitée] and people only working on commission). [For any of the above options:]</div> <div class="i2">Do you hire employees? Do not count servants at home in your service. In agriculture, only count permanent paid workers. [] Yes How many?</div> <div class="i3">[] 1 1 to 2 [] 3 3 to 5 [] 6 6 or more</div> <div class="i2">[] 0 No</div> <div class="i1">[] 5 Person working at home for one (or more) businesses. [] 6 Apprenticed under contract. [] 7 Paid worker : answer questions 15a, 15b or 15c below:</div> </svar> <svar a="FR68A429" v="FR68A429 FR68A438">15a. If you are a worker, specify the qualification for your current job: <div class="i1">[] 1 Unskilled laborer or specialized laborer [] 2 Specialized worker (OS1, OS2, ...). [] 3 Skilled worker or highly qualified (P1, P2, P3...)</div> 15b. If you are an employee of the state, a local town or a public service (E.D.F. "Electricité de France", S.N.C.F. "Société nationale des chemins de fer", etc.) or military by career, specify your rank: <div class="i1">____</div> Examples: administrative secretary, second-class stationmaster, typist, etc. 15c. If you are in a different situation, specify your position in the organization: <div class="i1">____</div> Examples: supervisor, workshop manager, department store head, etc. </svar> <svar a="all" v="FR68A438">Question 13: People working by helping another person in their profession, while not being paid. It sometimes happens that some people - especially women - work by helping another person in his profession, without receiving a salary for it. These people will answer "yes" to question 12, even if they only work part time in these situations. For example, this question effects the wife of a farmer who participates in the work of the farm, the wife or daughter of a merchant who spends several hours per day in the shop to ensure the sales or to operate the cash register. </svar> France 1968: Active persons [discrepancies: none] This variable indicates the respondent's SAPHIR status for active persons in civilian activities. SAPHIR variables were constructed by the French statistical office to provide consistent variables across censuses. 0 NIU (not in universe) 1 Independent workers without paid employees 2 Employers 3 Family helpers 4 Paid workers from companies in the private sector 5 Paid workers from public companies or nationalities and Social Security 6 Paid state employees and local government employees, public hospitals, HLM 7 Apprentices under contract 8 Clergy, religious 9 Unemployed Work Variables -- PERSON SAPHIR occupation <svar v="FR68A403 FR68A405 FR68A407 FR68A409 FR68A410 FR68A430 FR68A436 FR68A437 FR68A439">Education and professional formation (for all persons born before January 1st, 1962) [Applies to questions 8 - 11] </svar> <svar a="all" v="FR68A405 FR68A430 FR68A437 FR68A439">8. Are you currently a student? <div class="i1">[] Yes (Answer question 9) [] No (Answer questions 10 and 11)</div> Do not answer "yes" unless you are taking classes (including professional or technical classes) or at the university for the normal duration of the school year. If you are apprenticed under contract, if you are not taking any classes except for some professional classes part-time, or classes by correspondence for perfecting your skills, seasonal agricultural classes, etc. answer "no". </svar> <svar v="FR68A401 FR68A405 FR68A406 FR68A408 FR68A414 FR68A425 FR68A427 FR68A429 FR68A430 FR68A433 FR68A437 FR68A438 FR68A439">Professional activity (for all persons born before January 1st, 1954) [Applies to questions 12- 18] </svar> <svar v="FR68A405 FR68A437 FR68A439">18. If you don't work anymore: <div class="i1">(You are, for example, retired from public service, a retired executive, old retired worker, former farmer, retired from business, etc.) What is your main profession? ____</div> </svar> <svar a="FR68A414" v="FR68A405 FR68A414 FR68A437">Question 12: Main profession. Attentively read the explanations and the examples given on the individual forms, as well as the instructions hereafter. Examples of bad answers not to accept in any situation [left column] / Comments [right column] 1) Bad answers because they aren't specific enough. Employee, worker, building worker, engineer, executive, director / Indicate exactly the job of the person concerned, for example: salesperson at a department store, bank employee, lathe operator, chemical engineer, plasterer, expert forester, business director. Government employee, SNCF employee, EDF employee / For government employees and public service employees, specify the rank or the job, for example: representative of the prefecture, clerk of the PTT, second class stationmaster, driver of a diesel locomotive, EDF dispatcher. Merchant, industrialist, farmer, entrepreneur, craftsman, administrator / Answer, for example: retail grocer, wholesaler in pharmaceutical products, masonry entrepreneur, residential building director, movie theater employee 2) Bad answers because they are incomplete. O.S., O.P., Qualified worker, team leader, foreman / these labels indicate the situation in the professional hierarchy, but do not give any information on the individual profession of the person concerned. On the other hand, the following answers are satisfactory: O.S. (specialized worker) in rope or yarn winding, textile mill foreman </svar> France 1968: All persons This variable indicates the respondent's SAPHIR socio-professional category. SAPHIR variables were constructed by the French statistical office to provide consistent variables across censuses. 14 Agricultural farming, fishermen 21 Artisans 22 Businessmen and employees 23 Business owners with 10 paid workers or more 31 Free-market professions 33 Executives of public functions 34 Teachers, professional scientists 35 Professional news, arts and shows 37 Executives of administrative and commercial businesses 38 Engineers of technical businesses 42 Teachers and other employees 43 Professional social health workers 44 Clergy, religious 45 Professional administration in public function 46 Professional administrative and commercial institutions 47 Technicians 48 Supervisors 52 Civil employees, service agents of public function 53 Police and military 54 Administrative employees 55 Business employees 56 Service personnel to individuals 61 Skilled industrial or artisanal workers 66 Skilled driver 69 Agricultural workers 79 Former active workers 83 Military reserve 84 High school and university students 87 Other inactive people Work: Occupation Variables -- PERSON Migration <svar a="all" v="FR68A416 FR68A432 FR68A440">7. Where were you living on January 1st, 1962? (for all people born before January 1st, 1962). <div class="i1">City (for Paris, Lyon, Marseille, include the city neighborhood) ____ Department (or country, for overseas territories and abroad) ____</div> If, on January 1st, 1962, you were living in the same address as now, indicate, "same address". If you were in the military at that time or a boarding student or undergoing treatment in a care facility, indicate the address of your personal residence at that date and not that of the establishment (barrack, boarding school, sanatorium, etc.). If, on January 1st, 1962, you were living in an overseas territory or abroad, when did you come (or return) to live in Metropolitan France? <div class="i1">Month ____ Year ____ 196 _</div> </svar> <svar a="all" v="FR68A416 FR68A432 FR68A440">5.6.3 Question 7: Residence on January 1st, 1962. This question is dedicated to the study of migrations to the inside of France in the period of 1962- 1968. This information will inform researchers about the immigration of the foreigner or of the countries located outside of Metropolitan France. Make sure that the people who were living outside of France on January 1st, 1968 have correctly indicated the year of their arrival in France. This applies as well to French citizens as well as foreigners who were living outside of Metropolitan France on January 1st, 1962. In the situation where some people would have made several visits since 1962 in France, it will be necessary to indicate the corresponding year at the beginning of the current visit. However, you should keep track of the absences from Metropolitan France which have lasted more than 3 months. Example: A house servant who was living in Spain on January 1st, 1962 came to work in France during the whole year of 1963. Returning to Spain at the beginning of 1964, she comes back to France in September 1966. She has spent her vacation of 1967 (August) in Spain. In this situation, answer: 1966. [Footnote] (1) However, you will not count a foreigner who has nothing in France but a secondary residence (country home, vacation home, etc.) His secondary residence will nevertheless be counted, as pointed out in paragraph 4.2.7. </svar> France 1968: All persons except marines, immates or persons in mobile homes or undergoing treatment in psychiatric hospitals [discrepancies: none] This variable indicates whether the respondent's present residence is the same as in 1962. 0 NIU (not in universe) 1 Same house 2 Other house same commune 3 Same commune (quarter of Paris, arrondissement of Lyon or Marseille) 4 Same region 5 Other region 6 Abroad Migration: Global Variables -- PERSON