Fourth General Census of Population and Housing 2009 DDI_MLI_2009_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. Fourth General Census of Population and Housing 2009 - IPUMS Subset PHC Mali 2009 (IPUMS Harmonized Subset) MLI_2009_PHC_v01_M_v7.5_A_IPUMS Central Bureau of the Census IPUMS (c) Copyright 2009, Central Bureau of the Census and Minnesota Population Center Central Bureau of the Census 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 Other Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Migration: F-N Variables -- PERSON Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Constructed Family Interrelationship Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Geography: F-N Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Other Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Nativity and Birthplace Variables -- PERSON Disability Variables -- PERSON Migration: Global Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON April 14, 2009 April 1, 2009 to April 14, 2009 Mali District Persons and households UNITS IDENTIFIED: - Dwellings: no - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: no UNIT DESCRIPTIONS: - Dwellings: A structure used for habitation with walls and a roof or mobile housing such as a nomad tent, boat, or train car occupied at the time of the census. - Households: A household is an individual or a group of individuals, related or not, who are living under the same roof under the responsibility of a head of household whose authority is recognized by all members of the household. - Group quarters: A communal household is a group of persons living together for reasons of study, health, work, travel, discipline, or common interest. All persons residing in the national territory, excluding diplomats and their families temporarily in Mali, foreign diplomats and their families, army personnel and military police, household members who left more than six months prior to the census. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Mali 2009 MICRODATA SOURCE: Central Bureau of the Census SAMPLE SIZE (person records): 1451856. SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the Minnesota Population Center Face-to-face [f2f] A single form with sections on dwellings, individuals, emigration, and death events. both, CENSUS DAY: April 14, 2009 Self-weighting (expansion factor = 10). IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. Central Bureau of the Census . 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: Mali, Central Bureau of the Census. Fourth General Census of Population and Housing 2009 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 ml2009a, 2024 MLI2009_PHC-H-H.dat Household records 235,834 ascii Minnesota Population Center Version 7.5, IPUMS sample MLI2009_PHC-P-H.dat Person records 1451856 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 Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. 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 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. 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 Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit string variable listing the population density in persons per square kilometer. 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 Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit string variable listing the area in square kilometers. Geography: Global Variables -- HOUSEHOLD Mali, Region 1987 - 2009 [Level 1; consistent boundaries, GIS] GEO1_ML identifies the household's region within Mali in all sample years. Regions are the first level administrative units of the country. GEO1_ML 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 GEO1A_ML codes can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Mali 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. 466001 Kayes 466002 Koulikoro 466003 Sikasso 466004 Ségou 466005 Mopti 466006 Tombouctou 466007 Gao, Kidal 466009 Bamako 466099 Unknown Geography: F-N Variables -- HOUSEHOLD Mali, Region 2009 [Level 1, GIS] GEO1_ ML2009 identifies the household's region within Mali in 2009. Regions are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ ML2009 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Mali 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. 001 Kayes 002 Koulikoro 003 Sikasso 004 Ségou 005 Mopti 006 Tombouctou 007 Gao 008 Kidal 009 Bamako Geography: F-N Variables -- HOUSEHOLD Mali, Circle 1987 - 2009 [Level 2; consistent boundaries, GIS] GEO2_ML identifies the household’s circle (cercle) within Mali in all sample years. Circles are the second level administrative units of the country, after regions. GEO2_ML is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_ML can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Mali 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. 466001001 Kayes 466001002 Bafoulabé 466001003 Diéma 466001004 Kéniéba 466001005 Kita 466001006 Nioro 466001007 Yélimané 466002001 Koulikoro 466002002 Banamba 466002003 Dioïla 466002004 Kangaba 466002005 Kati 466002006 Kolokani 466002007 Nara 466003001 Sikasso 466003002 Bougouni 466003003 Kadiolo 466003004 Kolondiéba 466003005 Koutiala 466003006 Yanfolila 466003007 Yorosso 466004001 Ségou 466004002 Barouéli 466004003 Bla 466004004 Macina 466004005 Niono 466004006 San 466004007 Tominian 466005001 Mopti 466005002 Bandiagara 466005003 Bankass 466005004 Djenné 466005005 Douentza 466005006 Koro 466005007 Ténenkou 466005008 Youwarou 466006001 Tombouctou 466006002 Diré 466006003 Goundam 466006004 Gourma-Rharous 466006005 Niafunké 466007001 Gao 466007002 Ansongo 466007003 Bourem 466007004 Ménaka 466007005 Kidal, Abéïbara, Tessalit, Tin-Essako 466009001 District of Bamako 466099999 Unknown Geography: F-N Variables -- HOUSEHOLD Mali, Circle 2009 [Level 2, GIS] GEO2_ ML2009 identifies the household's circle within Mali in 2009. Circles are the second level administrative units of the country, after regions. A GIS map (in shapefile format), corresponding to GEO2_ ML2009 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Mali 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. 001001 Kayes 001002 Bafoulabé 001003 Diéma 001004 Kéniéba 001005 Kita 001006 Nioro 001007 Yélimané 002001 Koulikoro 002002 Banamba 002003 Dioïla 002004 Kangaba 002005 Kati 002006 Kolokani 002007 Nara 003001 Sikasso 003002 Bougouni 003003 Kadiolo 003004 Kolondiéba 003005 Koutiala 003006 Yanfolila 003007 Yorosso 004001 Ségou 004002 Barouéli 004003 Bla 004004 Macina 004005 Niono 004006 San 004007 Tominian 005001 Mopti 005002 Bandiagara 005003 Bankass 005004 Djenné 005005 Douentza 005006 Koro 005007 Ténenkou 005008 Youwarou 006001 Tombouctou 006002 Diré 006003 Goundam 006004 Gourma-Rharous 006005 Niafunké 007001 Gao 007002 Ansongo 007003 Bourem 007004 Ménaka 008001 Kidal 008003 Abéïbara, Tessalit, Tin-Essako 009001 District of Bamako Geography: F-N Variables -- HOUSEHOLD Mali, District 2009 [Level 2, GIS] GEO3_ML2009 identifies the household's district within Mali in 2009. Districts are the third level administrative units of the country, after regions and cercles. A GIS map (in shapefile format), corresponding to GEO3_ML2009 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Mali 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. 001001001 Kayes 001001002 Ambidedi 001001003 Segala 001001004 Kayes Central 001001005 Diamou, Sadiola 001001006 Aourou 001001007 Diadioumera 001001008 Koussane 001001009 Lontou 001001010 Samé 001002001 Diakon, Diallan 001002002 Oussoubidiagna 001002003 Mahina 001002004 Bafoulabé Central 001002005 Bamafélé 001002006 Oualia 001002007 Goundara 001002008 Koundian 001003001 Diéma Central 001003002 Diangounte Camar 001003003 Bema 001003004 Lakamane 001003005 Dioumara 001004001 Kéniéba Central 001004002 Dombia, Falea 001004003 Dialafara, Kassama 001004004 Faraba 001005001 Sebekoro 001005002 Séféto 001005003 Kita Central 001005004 Kita 001005005 Sagabari 001005006 Kokofata 001005007 Djidian 001005008 Sirakoro 001005009 Toukoto 001006001 Korera Kore, Troungoumbe, Gogui 001006002 Nioro Central 001006003 Gavinane 001006004 Nioro 001006005 Sandaré 001006006 Simbi 001007001 Yélimané Central, Marena 001007002 Kirane 001007003 Tambacara 002001001 Tougouni, Tienfala, Koulikoro Central 002001002 Commune Koulikoro 002001003 Sirakorola 002001004 Niamina 002001005 Koula-koulikoro 002001006 Kénékou 002002001 Banamba central 002002002 Toubacoura 002002003 Boron 002002004 Sébété, Toukoroba 002002005 Madina Sacko 002003001 Fana 002003002 Dioïla central 002003003 Massigui 002003004 Beleko 002003005 Banco 002003006 Ména 002004001 Kangaba Central 002004002 Narena 002005001 Kalabancoro 002005002 Baguineda 002005003 Kati Central 002005004 Kati 002005005 Sanankoroba 002005006 Siby 002005007 Ouelessebougou 002005008 Neguela 002005009 Kourouba 002006001 Kolokani Central 002006002 Djidieni 002006003 Nonssombougou 002006004 Massantola 002007001 Nara Central 002007002 Ballé 002007003 Dilly 002007004 Fallou 002007005 Mourdiah 002007006 Guiré 003001001 Commune Sikasso 003001002 Sikasso central 003001003 Kignan 003001004 Finkolo, Niéna 003001005 Klela 003001006 Blendio 003001007 Danderesso 003001008 Lobougoula 003001009 N'kourala 003001010 Dogoni 003002001 Bougouni Central 003002002 Garalo 003002003 Koumantou 003002004 Sanso 003002005 Commune Bougouni 003002006 Dogo-bougouni 003002007 Manankoro 003002008 Zantiebougou 003002009 Keleya 003002010 Faragouaran 003003001 Kadiolo Central 003003002 Loulouni 003003003 Misseni 003003004 Fourou 003004001 Tonssékéla, Kadiona 003004002 Kolondiéba Central 003004003 Fakola 003004004 Kebila 003005001 Commune Koutiala 003005002 Koutiala Central 003005003 M'pessoba 003005004 Molobala 003005005 Kouniana 003005006 Konsseguela 003005007 Zangasso 003006001 Yanfolila Central 003006002 Filamana, Doussoudiana, Yorobougoula 003006003 Kangaré 003006004 Kalana 003006005 Siékorolé 003006006 Gueleninkoro 003007001 Kouri, Mahou 003007002 Boura 003007003 Yorosso Central 004001001 Ségou 004001002 Ségou Central 004001003 Dioro 004001004 Markala 004001005 Katiena 004001006 Farako 004001007 Sinzana 004001008 Sansanding 004001009 Doura 004002001 Barouéli Central 004002002 Sanando 004002003 Tamani 004002004 Konobougou 004003001 Bla Central 004003002 Yangasso, Diaramana 004003003 Falo 004003004 Touna 004004001 Kologotomo 004004002 Sarro 004004003 Saye 004004004 Macina Central 004004005 Monipe 004005001 Niono Central, Pogo 004005002 Sokolo, Nampala 004006001 San 004006002 Diéli 004006003 Kimparana 004006004 Sy 004006005 Tene 004006006 Kassorola 004006007 San Central 004006008 Sourountouna 004007001 Mandiakuy 004007002 Tominian Central 004007003 Fangasso 004007004 Koula 004007005 Timissa 004007006 Mafoune 005001001 Mopti 005001002 Konna 005001003 Korientze, Sendegue 005001004 Ouromodi, Soye 005001005 Mopti Central 005001006 Fatoma 005001007 Dialloube 005001008 Soufouroulaye 005002001 Bandiagara Central 005002002 Ouo 005002003 Ningari 005002004 Kendie 005002005 Goundaka 005002006 Sangha 005002007 Kani-gogouna 005002008 Dourou 005003001 Dialassagou 005003002 Baye 005003003 Sokoura 005003004 Bankass Central 005003005 Kani-bonzon 005003006 Ségué 005003007 Ouenkoro 005004001 Djenné Central, Taga 005004002 Mougnan, Konio 005004003 Sofara 005004004 Kouakourou 005005001 Douentza Central 005005002 Mondoro 005005003 N'gouma 005005004 Boni 005005005 Boré 005005006 Hombori 005006001 Koro Central 005006002 Dinangourou 005006003 Koporo Kénièna 005006004 Diankabou 005006005 Toroli 005006006 Madougou 005006007 Dioungani 005007001 Diafarabe, Ténenkou Central 005007002 Sossobé, Toguerécoumbé 005007003 Dioura 005007004 Diondiori 005008001 Guidio, Gathi loumo, Dogo, Ambiri 005008002 Youwarou Central 005008003 Sah 006001001 Tombouctou Central, Tinaguelhoy, Aglal, BouremInaly, Ber 006001002 Commune Tombouctou 006002001 Diré Central, Danga, Haibongo 006002002 Sareymou 006003001 Tonka 006003002 Douekise, Goundam Central 006003003 Raz-el-ma, Farach, Bintagoundou 006003004 Gargando, Tilemsi 006004001 Haribomo, Bambara Maoude, Mandiakoye 006004002 Gourma-rharous Central 006004003 Ouinarden, Gossi, Inadiatafane 006005001 Léré, Soumpi 006005002 Niafunké Central 006005003 Koumaira, N'gorkou 006005004 Sarafere 006005005 Banikané 007001001 Gao 007001002 Gao Central 007001003 Djébock 007001004 Haoussa Foulane 007001005 In-tillit 007002001 Talataye, Ansongo Central 007002002 Tessit, Ouatagouna 007003001 Bourem central 007003002 Almoustarat, Temera 007003003 Bamba 007004001 Waritoufoulout or Inekar, Tindarmene, Ménaka Central, Anderaboukane 008001001 Kidal Central, Annefis, Essouk, Kidal 008003001 Abéïbara Central, Tessalit Central, Tin-essako Central, Aguel-hoc, Timetrine, Tin-zaouatene, Bouressa, Abiyou, Tinesserine 009001001 Commune VI of the District of Bamako 009001002 Commune V of the District of Bamako 009001003 Commune I of the District of Bamako 009001004 Commune IV of the District of Bamako 009001005 Commune II of the District of Bamako 009001006 Commune III of the District of Bamako Geography: F-N Variables -- HOUSEHOLD DHS-IPUMS-I Mali regions, 1987-2012 [consistent boundaries, GIS] DHS_IPUMSI_ML provides geographic codes for Mali that match those in the DHS and IPUMS-International databases. This variable can be used to link contextual area data from IPUMS-DHS to IPUMS-International or vice versa. The codes in DHS_IPUMSI_ML indicate the major administrative unit in which the household was enumerated or surveyed. GIS shapefiles for Mali can be downloaded here. 01 Kayes 02 Koulikoro 03 Sikasso 04 Ségou 05 Mopti 06 Tombouctou 07 Gao and Kidal 09 Bamako 99 Unknown Geography: IPUMS-I, IPUMS-DHS 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 Number of international migrants INTMIG1 indicates the number of people from the household who traveled to another country to live and have not permanently returned. 00 No migrants 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 or more 98 Unknown 99 NIU (not in universe) 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 Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Trash disposal This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner. 00 NIU (not in universe) 10 Collected by a sanitation service 11 Collected directly from the household or dwelling 12 Collected indirectly from a garbage container or deposit 13 Collected by a sanitation service only 14 Collected by a sanitation service and disposed of in some other manner 20 Disposed of in some other manner 21 Burned or buried 22 Burned 23 Buried 24 Thrown into street, vacant land, or common area 25 Thrown into river, lake, ocean, lagoon, etc. 26 Thrown into canyon or gulley 27 Dumped in pit 28 Communal refuse dump 29 Own refuse dump 30 Authorized refuse dump 31 Illegal refuse dump 32 Other dumping 33 Outside 34 In the fields 35 Fed to animals 36 Composted 37 Heap 38 Garden 39 Other, none 99 Unknown/missing Utilities 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 Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material FLOOR indicates the dwelling's predominant flooring material. 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Roof material This variable indicates the dwelling's predominant roofing material. 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Number of deaths in household last year MORTNUM indicates the number of deaths in the household in the past year. 0 None 1 1 death 2 2 deaths 3 3 deaths 4 4 deaths 5 5 deaths 6 6 deaths 7 7 or more deaths 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Any deaths in household last year ANYMORT indicates whether there were any deaths in the household in the past year. 1 Yes 2 No 8 Unknown/missing 9 NIU (not in universe) Other Household 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 Dwelling number Mali 2009: All records This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Mali 2009: All records This variable indicates the number of persons in the household. 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 69 69 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 81 81 82 82 83 83 84 84 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Mali 2009: All records This variable indicates that a dwelling was created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Area Mali 2009: All households This variable indicates the household’s area. 1 Bamako 2 Other urban 3 Rural Geography: F-N Variables -- HOUSEHOLD Urban Mali 2009: All households This variable indicates whether the household is in an urban or rural location. 1 Urban 2 Rural Geography: F-N Variables -- HOUSEHOLD Household type Type of household<div class="i1">[] 1 Settled [] 2 Nomad [] 3 Collective</div> Household: The household is made up of an individual or a group of individuals related or not, living under the same roof under the responsibility of a head of household whose authority is recognized from all members. The household is characterized by these three key criteria (related or not, living under the same roof and recognizing the authority of a head of household). It can simply be a person living alone or with his or her children. [Omitted Example] [pg. 6]<div class="i1">1.Ordinary household The ordinary household is made up of a head of household, his wife/wives and their unmarried children, possibly with others who may or may not be related to them. It can be a sedentary household as well as a nomadic household. A nomadic household is defined as being a household living in a mobile home (tent) and undertakes periodic or continual displacements. Special cases <div class="i2">1. What to do with a polygamous household? If the wives are in the same concession: they are part of a same household. If the wives are not in the same concession each one constitutes a separate household. In this specific case, the husband is surveyed in the household he is in when the enumerator is there. Thus, in the absence of the husband, the other wives will be heads of their own household. 2. A tenant who does not take his meals where he lodges is a separate household. 3. In the case of a concession where a man lives with his wives and children. Each married child is a new household with his or her spouse(s), children and their potential unmarried dependents. 4. Each member of group of unmarried people, related or not, living together and independently providing their own meals, constitutes a single-person household.</div> [Omitted enumerator's Instructions] 2. Communal household A communal household is a group of several people who do not meet the criteria established by an ordinary household: no head of household, no spouses and children, etc. These are people who live together in a lodging or in individual or collective rooms, for reasons of study, health, work, travel, correction, communal interest. The collective household can be: a hospital or health center with hospitalization, an educational boarding establishment (High school or middle school, Colleges of Education, Institutes etc.), a reeducation center (Bolle center, for example), a hotel, a convent, and other religious communities, a military camp, etc. Special cases: The ordinary households that are housed in dwellings in the same courtyard as a communal household are identified and surveyed separately on an ordinary household sheet. For example: the Director of the hospital who has a home in the courtyard of the hospital.</div> Mali 2009: All households This variable indicates the household type. 1 Settled 2 Nomad Group Quarters Variables -- HOUSEHOLD Male emigrants II. Summary table [Give the number of males, females, and total members in the household] 0) Residence status 1) Residents present (RP) <div class="i1">____Male ____Female ____Total</div>2) Residents absent (RA): <div class="i1">____Male ____Female ____Total</div>3) Subtotal 1 (RP +RA): <div class="i1">____Male ____Female ____Total</div>4) Visitors (V): <div class="i1">____Male ____Female ____Total</div>5) Subtotal 2 (RP + V): <div class="i1">____Male ____Female ____Total</div>6) Total list (RP + RA + V): <div class="i1">____Male ____Female ____Total</div>7) Emigrants: <div class="i1">____Male ____Female ____Total</div> 6.2.5.4 Date of departure, destination, and reason for departure (Column E7 to E9) Question E7 is meant to collect information on the departure date of emigrants from the household in the last five (5) years. The agent asks the question: "What was [name]?s date of departure?" and records the month and year of departure in the boxes provided for this purpose. In situations where the month and / or year is not known, the agent records "99" and / or "9999" respectively. [pg. 39] The agent then asks, "What is [name]?s country of destination?"(Column E8). The agent records the full name of the destination country. When the country is not known, enter "Unknown." the boxes are left blank for codification. Finally, the agent asks the question: "For what reason did [NAME] leave?"(Column E9). He records completely the wording of the answer then records the code corresponding to the response in the box provided. <div class="i1">01 = economic reasons 02 = social reasons 03 = professional reasons 04 = political reasons 05 = study purposes 06 = health reasons</div>Instructions: For the registration of emigrants, make sure that the person was actually a member of the household in question. Probe to avoid recording a single emigrant in several households (related). All the girls in the household who are married and who have lived in another household in Mali before emigrating are not taken into account. The boxes of the column E8 should not be filled out (reserved for the coding team). If the reason given is not one of the codes listed above, the agent records the wording of the response completely on the line and leaves the empty boxes. Mali 2009: All households This variable indicates the household’s number of male emigrants. 0 0 1 1 2 2 3 3 4 4+ Constructed Household Variables -- HOUSEHOLD Female emigrants II. Summary table [Give the number of males, females, and total members in the household] 0) Residence status 1) Residents present (RP) <div class="i1">____Male ____Female ____Total</div>2) Residents absent (RA): <div class="i1">____Male ____Female ____Total</div>3) Subtotal 1 (RP +RA): <div class="i1">____Male ____Female ____Total</div>4) Visitors (V): <div class="i1">____Male ____Female ____Total</div>5) Subtotal 2 (RP + V): <div class="i1">____Male ____Female ____Total</div>6) Total list (RP + RA + V): <div class="i1">____Male ____Female ____Total</div>7) Emigrants: <div class="i1">____Male ____Female ____Total</div> 6.2.5.4 Date of departure, destination, and reason for departure (Column E7 to E9) Question E7 is meant to collect information on the departure date of emigrants from the household in the last five (5) years. The agent asks the question: "What was [name]?s date of departure?" and records the month and year of departure in the boxes provided for this purpose. In situations where the month and / or year is not known, the agent records "99" and / or "9999" respectively. [pg. 39] The agent then asks, "What is [name]?s country of destination?"(Column E8). The agent records the full name of the destination country. When the country is not known, enter "Unknown." the boxes are left blank for codification. Finally, the agent asks the question: "For what reason did [NAME] leave?"(Column E9). He records completely the wording of the answer then records the code corresponding to the response in the box provided. <div class="i1">01 = economic reasons 02 = social reasons 03 = professional reasons 04 = political reasons 05 = study purposes 06 = health reasons</div>Instructions: For the registration of emigrants, make sure that the person was actually a member of the household in question. Probe to avoid recording a single emigrant in several households (related). All the girls in the household who are married and who have lived in another household in Mali before emigrating are not taken into account. The boxes of the column E8 should not be filled out (reserved for the coding team). If the reason given is not one of the codes listed above, the agent records the wording of the response completely on the line and leaves the empty boxes. Mali 2009: All households This variable indicates the household’s number of female emigrants. 0 0 1 1 2 2+ Constructed Household Variables -- HOUSEHOLD Total emigrants II. Summary table [Give the number of males, females, and total members in the household] 0) Residence status 1) Residents present (RP) <div class="i1">____Male ____Female ____Total</div>2) Residents absent (RA): <div class="i1">____Male ____Female ____Total</div>3) Subtotal 1 (RP +RA): <div class="i1">____Male ____Female ____Total</div>4) Visitors (V): <div class="i1">____Male ____Female ____Total</div>5) Subtotal 2 (RP + V): <div class="i1">____Male ____Female ____Total</div>6) Total list (RP + RA + V): <div class="i1">____Male ____Female ____Total</div>7) Emigrants: <div class="i1">____Male ____Female ____Total</div> 6.2.5.4 Date of departure, destination, and reason for departure (Column E7 to E9) Question E7 is meant to collect information on the departure date of emigrants from the household in the last five (5) years. The agent asks the question: "What was [name]?s date of departure?" and records the month and year of departure in the boxes provided for this purpose. In situations where the month and / or year is not known, the agent records "99" and / or "9999" respectively. [pg. 39] The agent then asks, "What is [name]?s country of destination?"(Column E8). The agent records the full name of the destination country. When the country is not known, enter "Unknown." the boxes are left blank for codification. Finally, the agent asks the question: "For what reason did [NAME] leave?"(Column E9). He records completely the wording of the answer then records the code corresponding to the response in the box provided. <div class="i1">01 = economic reasons 02 = social reasons 03 = professional reasons 04 = political reasons 05 = study purposes 06 = health reasons</div>Instructions: For the registration of emigrants, make sure that the person was actually a member of the household in question. Probe to avoid recording a single emigrant in several households (related). All the girls in the household who are married and who have lived in another household in Mali before emigrating are not taken into account. The boxes of the column E8 should not be filled out (reserved for the coding team). If the reason given is not one of the codes listed above, the agent records the wording of the response completely on the line and leaves the empty boxes. Mali 2009: All households This variable indicates the household’s total number of emigrants. 0 0 1 1 2 2 3 3 4 4 5 5+ Constructed Household Variables -- HOUSEHOLD Mobile dwelling Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H1) Type<div class="i1">[] 1 Fixed [] 2 Mobile</div> Housing: This is the unit used for the surveying of the housing. The accommodation is a housing unit (set of constructions) intended for a household. The following types of housing are distinguished. <div class="i1">Fixed housing: This is a room or set of rooms located in a permanent building, meaning one that can remain in place for quite a long time (ranging from 1 to more than 10 years, for example). This category includes: permanent houses (cement walls or concrete) such as villas, apartment buildings, other buildings of this type etc ..., semi-hard houses (walls of mud or baked bricks, plastered cement) and houses of mud or straw, round huts. Mobile housing: This type refers to an installation for residential use, built so that it can be transported or made of a mobile unit that is used as a dwelling at the time of the survey. This category includes: nomadic tents, railroad cars, boats, canoes and fishing vessels, etc. These houses will be taken into account if they are occupied at the time of the census.</div> 6.2.6.1 Type of housing (Column H1) The aim is to collect information on the type of dwelling occupied by the household. If the dwelling in question is a "fixed" dwelling, circle "1." If the dwelling is a "mobile" dwelling, circle "2." This question is asked for every household. To distinguish a "set" dwelling from a "mobile" dwelling, refer to the section on definitions and concepts. Mali 2009: All households This variable indicates whether the dwelling is fixed or mobile. 1 Fixed 2 Mobile 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Type of dwelling Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H2) Type of dwelling<div class="i1">[] 1 Apartment building [] 2 Villa [] 3 Simple individual house [] 4 Concession with several dwellings [] 5 Hut [] 6 Tent [] 7 Precarious dwelling/shack [] 8 Others</div> 6.2.6.2 Type of dwelling (Column H2) Other than H1 and H11, the agent circles the code corresponding to the answer and records it in the space provided. Only one answer (the main one) is circled and recorded in the space. There are several types of dwellings. The agent takes into account the main type of dwelling in which the household resides. The officer entered the code in the box provided for this purpose. <div class="i1">1 = Apartment building: Modern building of one or more levels ( floors ) divided into apartments. Each apartment can accommodate at least one household. 2 = Villa: House with a living room (family room), one or more bedrooms and the following interior amenities: indoor kitchen, shower, toilet with septic tank , independent from building materials of the house. Houses have a single level, duplexes are included in this category. The villas are usually intended for the accommodation of a single household . 3 = Simple single house: Single house does not have the quality of a villa, that is to say, does not having all of the following interior amenities: indoor kitchen, shower, toilet with septic tank. 4 = Concession several housing: Construction without levels (floors) consisting of several separate units and able to accommodate several households (e.g. célibatorium). 5 = Hut: Traditional style building, usually circular or rectangular, made of mud-brick or straw with a conical or pyramidal shaped roof made of branches covered with straw. 6 = Tent: Portable shelter with tight canvas or other materials that is erected outdoors. 7 = Precarious dwelling/shack: Shelter outside of any standard of comfort used by households in difficult times in their lives. It must be understood as a rough building built with makeshift items (reeds, planks, boards, sheet metal etc. .....) 8 = Other: All other dwellings not listed.</div> Mali 2009: All households This variable indicates the type of dwelling. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 01 Apartment building 02 Villa 03 Simple individual house 04 Concession with several dwellings 05 Hut 06 Tent 07 Precarious dwelling or shack 08 Other 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Main material of walls Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H3) Main material of walls<div class="i1">[] 1 Hard [] 2 Semi Hard [] 3 Mudbrick [] 4 Wood/straw [] 5 Other, specify</div> 6.2.6.3 Main material of walls (Column H3) The purpose of this question is to describe the main material used for the exterior walls of the dwelling. The dwelling may be made up of one or more buildings, the agent must choose the main material. When the dwelling of a household consists of a single building, there is no challenge. When dwelling of a household consists of several independent units, the agent must choose the building he considers to be the main building, referring primarily to buildings for residential use then the criterion of durability. The agent asks the question: "What is the main construction material of the walls?"and records the code corresponding to the answer. <div class="i1">1 = Hard: The walls are hard when made bricks of stone or cement. Also included are walls made of concrete (mixture of cement and gravel or stone) and covered or not with cement and walls made of baked brick bound with cement. 2 = Semi hard: The walls are semi-hard when made of mud brick covered with cement. 3 = Banco: The walls are made of mudbrick when made of covered or uncovered mudbrick 4 = Wood/Straw: The walls are made of straw, wood or bamboo, palm leaves, secco [dried] etc. and covered or not in mudbrick or cement. 5 = Other (specify): The walls do not have any of the above characteristics. The agent records in full words the main material of the walls.</div>[Omitted example] If the structure is a tent, the agent records code "5" (Other) in the box provided for this purpose and marked "tent" in full letters on the corresponding line. Instructions: "Makeshift" shelters, that is to say, precarious dwellings with walls that are made partially or completely of sheet metal or cardboard should be classified as "other specify." The agent records in full words: "makeshift shelter in sheet metal" or "makeshift shelter in cardboard" on the corresponding line. Mali 2009: All households This variable indicates the main material of the walls. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 1 Hard 2 Semi hard 3 Mudbrick 4 Wood or straw 5 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Main material of roof Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H4) Main material of roof<div class="i1">[] 1 Sheet metal [] 2 Sheet metal with ceiling [] 3 Tile [] 4 Concrete [] 5 Mudbrick [] 6 Thatch [] 7 Other, specify</div> 6.2.6.4 Main material of roof (Column H4) The purpose of this question is to describe the main material of the roof of the main building. When the roof is composed of several materials, the agent uses the most dominant material. The agent records the code corresponding to the answer by referring to the definitions given. [Omitted example] [pg. 42]<div class="i1">1 = Sheet metal only: That is a sheet, corrugated or not of any quality. Note that plastic roofs are sheet metal roofs, but are classified as other . 2 = Sheet metal with ceiling: It is a sheet metal roof with a ceiling constructed to avoid the heat or to improve aesthetics. 3 = Tile: It is a roof made of tiles, that is to say, bricks in clay or terracotta. 4 = Concrete: It is a roof made of concrete (a mixture of cement, of gravel, of iron ... ) 5 = Banco: The roofs are made of mud bricks when made mainly of wood covered with mud bricks. 6 = Thatch: Thatch is a roof made of straw, bamboo, palm leaves or other plant materials. It usually covers the majority of round hut homes. 7 = Other specify: Roof does not have the characteristics of sheet metal or tile, concrete, mud bricks or thatch listed above . The agent writes in full letters the main roof material.</div> Mali 2009: All households This variable indicates the main material of the roof. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 1 Sheet metal only 2 Sheet metal with ceiling 3 Tile 4 Concrete 5 Mudbrick 6 Thatch 7 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Main material of floor Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H5) Main material of floor<div class="i1">[] 1 Cement [] 2 Tile [] 3 Beaten earth [] 4 Other, specify</div> 6.2.6.5 Main material of floor (Column H5) The purpose of this question is to describe the main material of the floor in the dwelling. The agent is not required to ask the question directly; often a simple observation is enough to determine the type of floor. When the agent has no clear idea, he asks the question: "What is the main material of the floor?" He records the code corresponding to the answer in the box provided. When the agent records code "4," he must record in full words the response. <div class="i1">1 Cement 2 Tile 3 Clay [beaten earth] 4 Other specify</div> Mali 2009: All households This variable indicates the main material of the floor. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 1 Cement 2 Tile 3 Beaten earth 4 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Main method of lighting Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H6) Main method of lighting<div class="i1">[] 1 Electricity (EDM) [##translator note: EDM is the company, Electricity of Mali] [] 2 Rural electrification/multifunction platform [] 3 Generator [] 4 Gas [] 6 Petroleum lamp [] 7 Gas lamp [] 8 Flashlight (batteries) [] 9 Other, specify</div> 6.2.6.6 Main mode of lighting (Column H6) <div class="i1">1= Electricity (EDM) [national energy company in Mali] Household with a permanent lighting system whose wires are connected to a source of electricity distribution (Energie du Mali) 2 = Rural Electrification / Multifunctional platform: This is a source of energy by battery systems (AMADER, etc.). [Malian Agency for Domestic Energy Development and Rural Electrification] 3 = Generator: Household with its own generator 4 = Solar Panel: Household with solar panels to supply the lighting 5 = Gas: This type of lighting is an installation supplied by gas 6 = Kerosene Lamp: Household is light by kerosene lamps, whatever its shape, size ... 7 = Oil Lamp: Traditional mode of lighting with shea butter usually called Fiténé Bambara 8 = Flashlight (batteries): All lighting installations requiring batteries 9 = Other specify: Can be Firewood, none...</div>[pg. 43] The question allow for collection of information on the lighting mode used by the household. The agent asks the following question: "What is the mode of lighting used by your household?." He records the code corresponding to the response provided. When the agent records code "9," he writes out in full letters the exact response. Depending on the response, refer to the definitions above. Instructions: When there are multiple lighting modes, the agent must take into account the main lighting mode. Mali 2009: All households This variable indicates the main method of lighting. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 01 Electricity (Electricity of Mali) 02 Rural electrification or multifunction platform 03 Generator 04 Solar panel 05 Gas 06 Petroleum lamp 07 Oil lamp 08 Flashlight (batteries) 09 Other 99 Unknown Utilities Variables -- HOUSEHOLD Main source of drinking water Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H7) Supply of drinking water<div class="i1">[] 1 Tap [] 2 Bore hole [] 3 Improved well [] 4 Traditional well [] 5 Public tap [] 6 Surface water [] 7 Other, specify</div> 6.2.6.7 Main method to get drinking water (Column H7) This question is about the main source of drinking water used by the household. Insist especially on the main source for the household because they can use several sources to obtain drinking water. The officer asks the question: "What is the main source for your drinking water?." The agent records the code corresponding to the correct answer. When the officer enters code "7," he writes in full words the exact response. <div class="i1">1 = Tap: The tap can be in the yard, in the housing or in the concession. Generally, tap water comes from the EDM [Malian Electric Company] facilities. 2 = Drilling: A borehole is usually in the street and works with a pump (used by hand, by foot). 3 = Finished well: A well is said to be finished when surrounded by cement and covered with a lid. The wells are constructed to avoid external water filtration. 4 = Traditional Well: The traditional well is the most common. It is not finished. 5 = Public tap: It is tap for public use (often for a fee) in the street. 6 = Surface Water: It is stagnant water (ponds, puddles, oasis ...) 7 = Other specify: No terms listed in this table (river, dam ...)</div> Mali 2009: All households This variable indicates the main source of drinking water. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 01 Tap 02 Bore hole 03 Improved well 04 Traditional well 05 Public tap 06 Surface water 07 Other 99 Unknown Utilities Variables -- HOUSEHOLD Main source of cooking fuel Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H8) Main source of energy for cooking<div class="i1">[] 1 Electricity [] 2 Gas [] 3 Petroleum [] 4 Wood [] 5 Wood charcoal [] 6 Animal dung [] 7 Solar oven [] 8 Other, specify</div> 6.2.6.8 Main source of energy for cooking (COLUMN H8) This is for the collection of information on the main source of energy used by households for cooking. The officer asks the question: "What is the main source of energy used by the household for cooking meals?." The agent records the code corresponding to the correct answer. <div class="i1">1 Electricity 2 Gas 3 Oil 4 Firewood 5 Charcoal 6 Animal Waste 7 Solar Oven 8 Other specify (wood chips ...)</div>[pg. 44] When the officer enters code "8," he then records in full words the exact response. Instructions: The agent must take into account only the main source of energy: the most widely used Mali 2009: All households This variable indicates the main source of cooking fuel. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 01 Electricity 02 Gas 03 Petroleum 04 Wood 05 Charcoal 06 Animal dung 07 Solar oven 08 Other 99 Unknown Utilities Variables -- HOUSEHOLD Type of toilet Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H9) Type of toilet<div class="i1">[] 1 Indoor private with flush [] 2 Outdoor private with flush [] 3 Communal to several household with flush [] 4 Private latrine [] 5 Communal latrine [] 6 Nature/field [] 7 Other, specify</div> 6.2.6.9 Type of toilet (Column H9) The agent asks, "What kind of toilet does the household use?" Enter the code corresponding to the correct answer. <div class="i1">1 = Private interior with flush: Toilet located in the dwelling, with a bowl and a flush (usually going to a septic tank) 2 = Private outside with flush: Toilet located outside the dwelling (in the courtyard), with a bowl and a flush (usually going to a septic tank). 3 = Shared with many households with flush: Toilet located in the dwelling or the concession, with a bowl and a flush (usually going to a septic tank). It is a facility for many households (collective use). 4 = Private latrine: Latrine without slab covered by a ventilation shaft for the use of a single household 5 = Common latrine: Latrine without slab covered by a ventilation shaft for the use of several households 6 = Outdoors: Needs are relieved outdoors, in the bush or in the ruins of the house, etc. 7 = Other specify: Any other type of toilet not listed</div>For households with multiple types of toilets, consider the most used type of toilet. Mali 2009: All households This variable indicates the household’s type of toilet. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 01 Indoor private with flush 02 Outdoor private with flush 03 Communal to several households with flush 04 Private latrine 05 Communal latrine 06 Nature or field 07 Other 99 Unknown Utilities Variables -- HOUSEHOLD Occupancy status Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H10) Occupancy status<div class="i1">[] 1 Owner with property title [] 2 Owner without property title [] 3 Co-owner [] 4 Renter [] 5 Hire purchase [] 6 Lodged for free [] 7 Others, specify</div> 6.2.6.10 Occupation status (Column H10) This question is used to determine in what way the household occupies the dwelling. The agent asks, "In what capacity does this household occupy this dwelling?." Refer to the definitions and write the corresponding code. <div class="i1">1 = Owner with land title 2 = Owner without land title: Person who owns the dwelling. The owner may be a legal owner of the property, buildings. He may therefore make rent or even sell all or a portion of the housing. 3 = Co-owner: Person sharing the property. This is often the case in inheritances. 4 = Renter: Person occupying a dwelling and pays rent on a periodic basis (weekly, monthly etc.) 5 = Rent-to-buy: Person occupying a dwelling and pays rent on a periodic basis (weekly, monthly etc.), but who becomes the owner after a certain time (social housing). 6 = Free housing: Person occupying a dwelling and does not pay rent. 7 = Other, specify: This category includes situations not included in the above categories.</div> Mali 2009: All households This variable indicates the occupancy status of the household. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 01 Owner with property title 02 Owner without property title 03 Co-owner 04 Renter 05 Hire purchase 06 Lodged for free 07 Other 99 Unknown Household Economic Variables -- HOUSEHOLD Number of occupied rooms Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H11) Number of occupied rooms: _____ 6.2.6.11 Number of rooms occupied (Column H11) This is the total number of rooms occupied by the household. Enter the number in the spaces provided after count with the CM. To avoid errors, refer to the following definition. The room is defined as space of the dwelling. It is surrounded by walls from floor to ceiling or roof, large enough to hold an "adult" bed and intended to be occupied. [Omitted example] Instructions: Verandahs and corridors, hallways, kitchens, toilets, barns and other outbuildings etc. are not counted. If there are rooms that regularly used as a dwellings, then the agent must count them. [Omitted example] In nomadic areas, consider each tent as a room and give an indication of the number of occupied rooms. Mali 2009: All households This variable indicates the number of occupied rooms. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 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+ Dwelling Characteristics Variables -- HOUSEHOLD Presence of improved stove Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H12) Existence of improved stove<div class="i1">[] 1 Yes [] 2 No</div> 6.2.6.12 Existence of an improved stove (Column H12) The improved stove is built of mud bricks, metal and mud bricks for the kitchen to minimize the consumption of fuel (wood, coal ...). The agent asks: "Is there an improved stove in your household?" The agent enters code "1" for "Yes" or code "2" to "No." Mali 2009: All households This variable indicates whether there is an improved stove in the household. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 1 Yes 2 No 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Trash disposal method Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H13) Trash evacuation method<div class="i1">[] 1 Private pickup [] 2 Truck/collection [] 3 Communal trash can [] 4 GIE [Groupement d?Intérêt Economique: NGO initiative facilitating lower cost collaborative waste removal activity] [] 5 Trash pile [] 6 Ditch [] 7 Street [] 8 Nature/field [] 9 Others</div> 6.2.6.13 Method of waste disposal (Column H13) The aim is to collect information on the main method of waste disposal used by the household. Ask the head of household: "How do you get rid of your household garbage?" Depending on the response, the agent enters the corresponding code. <div class="i1">1 Private Collection 2 Gutter / Collector 3 Collective trash 4 GIE [group of independent contractors who combine efforts to reduce costs] 5 Pile of rubbish 6 Ditch 7 Street 8 In nature 9 Other</div> Mali 2009: All households This variable indicates the trash disposal method. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 01 Private collection 02 Truck or collection 03 Communal trash can 04 GIE 05 Trash pile 06 Ditch 07 Street 08 Nature or field 09 Other 99 Unknown Utilities Variables -- HOUSEHOLD Used water disposal method Circle the code that applies or record the appropriate code in the space provided. If there is a plot occupied by a single household, use the characteristics of the main building (without including the number of rooms) H14) Used water evacuation method<div class="i1">[] 1 Courtyard [] 2 Street [] 3 Soak pit [] 4 Truck/collection [] 5 Septic tank [] 6 Sewer system [] 7 Nature/field [] 8 Others, specify</div> 6.2.6.14 Evacuation method of wastewater (Column H14) This question deals with the main method of evacuation of household wastewater. The agent asks the question: "What is the main method of household wastewater evacuation?" The agent enters the code corresponding to the answer. Once the officer enters the code "8," the agent must record in full letter the title of the response. <div class="i1">1 Courtyard 2 Street 3 Sump 4 Gutter / Collector 5 Septic 6 Sewer 7 in nature 8 Other specify</div> Mali 2009: All households This variable indicates the used water disposal method. The vast majority of households with an unknown value for ML09A057 (fixed or mobile household) are unknown for this variable as well. 01 Courtyard 02 Street 03 Soak pit 04 Truck or collection 05 Septic tank 06 Sewer system 07 Nature or field 08 Other 99 Unknown Utilities Variables -- HOUSEHOLD Any deaths in the household in the past 12 months IV. Deaths in last 12 months (not including collective households) D1. Were there any deaths in this household in the last 12 months (circle the number corresponding to the response). <div class="i1">[] 1 Yes [] 2 No</div>If yes, get the name of each of the deceased in the household in D3, circle their sex in D4, record their date of birth in D5, their date of death in D6, and their age at death in D7. For the women deceased between ages 12 and 49, ask questions D8 to D10. 6.2.4.1 Deaths in the last 12 months (D1) The enumerator asks the question "Have there been any deaths in your household in the last twelve (12) months? That is to say, since [date] 2008. " [Omitted example] Based on the answer given, circle the appropriate code. <div class="i1">a. If the answer to the question is "No," circle "2" and put a line through the table related to deaths in the last twelve months, following the diagonal line and go to the section V (emigration). b. If the answer to the question is "Yes," circle "1" and continue with the questions. But before completing this table, be sure that the death did in fact occur during the period of twelve months prior to your visit in the household.</div>Instructions: In the situation where the CM is illiterate, the agent can refer to the lunar month corresponding to the month of the Muslim calendar. [Pg. 35] Caution: Avoid attaching the same death in several households. A death must be registered once and in a single household. Mali 2009: All households This variable indicates if there were any deaths in the household in the past 12 months. 1 Yes 2 No 9 Unknown Other Household Variables -- HOUSEHOLD Number of persons deceased Mali 2009: All households This variable indicates the number of persons deceased in the household in the past 12 months. 0 0 1 1 2 2 3 3 4 4+ Other Household Variables -- HOUSEHOLD Any member of the household emigrated in the past 12 months E1. In the last 5 years, have there been any members of your household who moved abroad and currently live there (emigrated)? <div class="i1">[] 1 Yes [] 2 No</div>If yes, get the number of emigrants in the household in E2, record each perso[name]'s name in E4, record their age in E5, Circle the code corresponding to the emigrant?s sex in E6, record the month and year of departure in E7, record all the letters of the destination country in E8. 6.2.5 Part V: International Emigration The questions in this section apply only to "ordinary" households (sedentary and nomadic). The purpose of these questions related to emigration is to collect information on Malians living abroad (outside of Mali). These are household members who currently reside abroad (for more than 6 months or who intend there to stay longer than 6 months) and who left within the last five (5) years. [Omitted example] Instructions: Anyone person who is a Present Resident or an Absent Resident cannot be identified as an emigrant. [pg. 38] The objective is to collect the emigrants who were members of the household at the time of departure. The agent must be careful to explain that the household is not emigrants from the family, but household members who have emigrated in the last five years. A visitor can also be identified as an emigrant in his original household. A person who, during the year crossed the border several times and had a combined length of absence exceeding six months, will be counted as resident in the household and not as an emigrant. (BARRY?s situation in Example 5). 6.2.5.1 Identification of emigrants (Column E1) The agent asks the question: "In the five (5) years, have there been any people in your household who have emigrated and who now live abroad?" If there are emigrants ("Yes"), circle code "1." Otherwise, circle "2" ("No"), cross out with a line the table and go to Part VI of the questionnaire (questions on housing). Mali 2009: All households This variable indicates whether any member of the household emigrated in the past 12 months. 1 Yes 2 No 9 Unknown Other Household Variables -- HOUSEHOLD Number of emigrants in past 12 months E1. In the last 5 years, have there been any members of your household who moved abroad and currently live there (emigrated)? <div class="i1">[] 1 Yes [] 2 No</div>If yes, get the number of emigrants in the household in E2, record each perso[name]'s name in E4, record their age in E5, Circle the code corresponding to the emigrant?s sex in E6, record the month and year of departure in E7, record all the letters of the destination country in E8. E2. If yes, How many?<div class="i1">_ _</div> 6.2.5.1 Identification of emigrants (Column E1) The agent asks the question: "In the five (5) years, have there been any people in your household who have emigrated and who now live abroad?" If there are emigrants ("Yes"), circle code "1." Otherwise, circle "2" ("No"), cross out with a line the table and go to Part VI of the questionnaire (questions on housing). 6.2.5.2 Number of emigrants (Column E2) If in the last five years, there has been one or more emigrants in the household ("Yes" to question E1), the agent records the number of people in the box provided for this purpose. Mali 2009: All households This variable indicates the number of emigrants in past 12 months from the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6+ Other Household Variables -- HOUSEHOLD Number of migration records Mali 2009: All households This variable indicates the number of migration records for the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6+ Other Household Variables -- HOUSEHOLD Number of mortality records Mali 2009: All households This variable indicates the number of mortality records for the household. 0 0 1 1 2 2 3 3+ Other Household Variables -- HOUSEHOLD Strata Mali 2009: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 5-digit numeric variable with 0 implied decimal places 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 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 Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Polygamous union POLYGAM indicates whether the respondent was in a polygamous union and, in some samples, the number of wives or the rank order of the wife. 00 NIU (not in universe) 01 No, in monogamous union 02 Yes, in polygamous union 03 Man in polygamous union 04 Polygamous man, 2 wives 05 Polygamous man, 3 or more wives 06 Woman in polygamous union 07 Polygamous marriage, 2 wives 08 Polygamous marriage, 3 or more wives 09 First wife 10 Second wife 11 Third or higher order wife 99 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 Month of birth BIRTHMO indicates the person's month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children ever born CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children ever born CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children surviving CHSURVF indicates the number of female children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children surviving CHSURVM indicates the number of male children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of births last year BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. 0 None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of mother MORTMOT indicates whether the person's biological mother was still living at the time of the census. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of father MORTFAT indicates whether the person's biological father was still living. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality 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 Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown 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 Has birth certificate or birth is registered BTHCERT indicates whether the person has a birth certificate or their own birth is registered. 1 Yes 2 No 3 Respodent does not know 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Circle of birth, Mali BPLML indicates the person's circle of birth within Mali. 010 Kayes region, unknown circle 011 Kayes 012 Bafoulabé 013 Diéma 014 Kéniéba 015 Kita 016 Nioro 017 Yélimané 020 Koulikoro region, unknown circle 021 Koulikoro 022 Banamba 023 Dioila 024 Kangaba 025 Kati 026 Kolokani 027 Nara 030 Sikasso region, unknown circle 031 Sikasso 032 Bougouni 033 Kadiolo 034 Kolondiéba 035 Koutiala 036 Yanfolila 037 Yorosso 040 Ségou region, unknown circle 041 Ségou 042 Baraouéli 043 Bla 044 Macina 045 Niono 046 San 047 Tominian 050 Mopti region, unknown circle 051 Mopti 052 Bandiagara 053 Bankass 054 Djénné 055 Douentza 056 Koro 057 Ténenkou 058 Youvarou 060 Tombouctou region, unknown circle 061 Tombouctou 062 Diré 063 Goundam 064 Gourma Rharous 065 Niafunké 070 Gao region, unknown circle 071 Gao 072 Ansongo 073 Bourem 074 Ménaka 080 Kidal region, unknown circle 081 Kidal 082 Abéibara 083 Téssalit 084 Tin Essako 090 District of Bamako, unknown commune 091 Commune I of the District of Bamako 092 Commune II of the District of Bamako 093 Commune III of the District of Bamako 094 Commune IV of the District of Bamako 095 Commune V of the District of Bamako 096 Commune VI of the District of Bamako 097 District Bamako 098 Mali, province unspecified 099 Foreign country 998 Unknown Nativity and Birthplace Variables -- PERSON Religion [general version] RELIGION indicates the person's religion, including "none." 0 NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown Ethnicity and Language Variables -- PERSON Religion [detailed version] RELIGION indicates the person's religion, including "none." 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown Ethnicity and Language Variables -- PERSON Language spoken at home, Mali LANGML indicates the language spoken in everyday life by the person in Mali. 00 NIU (not in universe) 01 Bambara, Malinke 02 Peul, Foulfoube 03 Sonrhaï, Djerma 04 Maraka, Soninke 05 Kassonke 06 Senoufo 07 Dogon 08 Mauritanian 09 Tamacheq 10 Bobo Dafing 11 Minianka 12 Haoussa 13 Samogo 14 Bozo 15 Other Malian language 16 Arabic 17 Other African language 18 Other foreign language 19 French 20 English 99 Unknown Ethnicity and Language Variables -- PERSON Maternal language, Mali MTONGML indicates the person's mother tongue: the language spoken in the respondent's infancy or by their mother. 00 NIU (not in universe) 01 Bambara, Malinké, Dioula 02 Pulaar, Peulh, Foulfoulbé 03 Songhai, Djerma 04 Marka, Soninké 05 Kassongé 06 Senoufo 07 Dogon, Kado 08 Mauritanian, Maure 09 Tamasheq, Bellah 10 Bobo, Dafing 11 Minianka 12 Haussa 13 Samogo 14 Bozo, Somono 15 Other language from Mali 16 Arabic 17 Other African language 18 French 19 English 20 Other non-African language 99 Unknown Ethnicity and Language 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 Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 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 Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Mali EDUCML indicates the person's educational attainment in Mali in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 110 Literacy education 111 Literacy education, one round 112 Literacy education, two or more rounds 120 Preschool 121 Preschool, year 1 122 Preschool, year 2 123 Preschool, year 3 200 Fundamental school, first cycle 210 Fundamental, first cycle 211 Fundamental, first cycle, year 1 212 Fundamental, first cycle, year 2 213 Fundamental, first cycle, year 3 214 Fundamental, first cycle, year 4 215 Fundamental, first cycle, year 5 216 Fundamental, first cycle, year 6 217 Fundamental, first cycle, year unknown 220 Medersa, first cycle 221 Medersa, first cycle, year 1 222 Medersa, first cycle, year 2 223 Medersa, first cycle, year 3 224 Medersa, first cycle, year 4 225 Medersa, first cycle, year 5 226 Medersa, first cycle, year 6 227 Medersa, first cycle, year unknown 300 Fundamental school, second cycle 310 Fundamental, second cycle 311 Fundamental, second cycle, year 7 312 Fundamental, second cycle, year 8 313 Fundamental, second cycle, year 9 314 Fundamental, second cycle, year unknown 320 Medersa, second cycle 321 Medersa, second cycle, year 7 322 Medersa, second cycle, year 8 323 Medersa, second cycle, year 9 324 Medersa, second cycle, year unknown 400 Secondary school, general or technical 410 Secondary school, general 411 Secondary general, year 10 412 Secondary general, year 11 413 Secondary general, year 12 414 Secondary general, year unknown 420 Secondary school, technical 421 Secondary technical, year 10 422 Secondary technical, year 11 423 Secondary technical, year 12 424 Secondary technical, year unknown 500 Vocational school or teachers school 510 School for teachers 511 School for teachers, year 1 512 School for teachers, year 2 513 School for teachers, year 3 514 School for teachers, year 4 515 School for teachers, year 5 516 School for teachers, year unknown 520 Vocational school 521 Vocational, year 1 522 Vocational, year 2 523 Vocational, year 3 524 Vocational, year 4 525 Vocational, year unknown 530 Vocational school, entry requiring primary school certificate [CEP] 531 Vocational, entry level CEP, year 1 532 Vocational, entry level CEP, year 2 533 Vocational, entry level CEP, year 3 534 Vocational, entry level CEP, year 4 535 Vocational, entry level CEP, year unknown 540 Vocational school, entry requiring fundamental studies diploma [DEF] 541 Vocational, entry level DEF, year 1 542 Vocational, entry level DEF, year 2 543 Vocational, entry level DEF, year 3 544 Vocational, entry level DEF, year 4 545 Vocational, entry level DEF, year 5 546 Vocational, entry level DEF, year unknown 550 Vocational school, entry requiring baccalaureate [BAC] or more 551 Vocational, entrey level BAC, year 1 552 Vocational, entrey level BAC, year 2 553 Vocational, entrey level BAC, year 3 554 Vocational, entrey level BAC, year 4 555 Vocational, entrey level BAC, year 5 556 Vocational, entrey level BAC, year unknown 600 Higher education, university 610 University 611 University, year 1 612 University, year 2 613 University, year 3 614 University, year 4 615 University, year 5 616 University, year 6 617 University, year 7+ 618 University, year unknown 620 Post-university 621 Post-university, year 1 or 2 622 Post-university, year 3 623 Post-university, year 4 624 Post-university, year 5 625 Post-university, year 6 626 Post-university, year 7+ 627 Post-university, year unknown 700 Other 999 Unknown 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 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 Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 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 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON Country of previous residence MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. 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, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 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 15160 Sierra Leone 15170 Togo 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 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 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 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 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49990 Europe, n.s. 49991 Central and Eastern Europe 49992 European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 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 Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Region of previous residence, Mali; consistent boundaries, GIS MIG1_P_ML indicates the person's region of previous residence within Mali. The person may have moved at any time in their life. 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. 466001 Kayes 466002 Koulikoro 466003 Sikasso 466004 Ségou 466005 Mopti 466006 Tombouctou 466007 Gao, Kidal 466009 Bamako 466096 Mali, province unspecified 466097 Foreign country 466098 Unknown 466999 NIU (not in universe) Migration: F-N Variables -- PERSON Circle of previous residence, Mali; consistent boundaries, GIS MIG2_P_ML indicates the person's circle of previous residence within Mali. Migration cercle codes from MIG2_P_ML are compatible with codes from GEO2_ML. The person may have moved at any time in their life. 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. 466001001 Kayes 466001002 Bafoulabé 466001003 Diéma 466001004 Kéniéba 466001005 Kita 466001006 Nioro 466001007 Yélimané 466001099 Kayes region, unknown circle 466002001 Koulikoro 466002002 Banamba 466002003 Dioila 466002004 Kangaba 466002005 Kati 466002006 Kolokani 466002007 Nara 466002099 Koulikoro region, unknown circle 466003001 Sikasso 466003002 Bougouni 466003003 Kadiolo 466003004 Kolondiéba 466003005 Koutiala 466003006 Yanfolila 466003007 Yorosso 466003099 Sikasso region, unknown circle 466004001 Ségou 466004002 Barouéli 466004003 Bla 466004004 Macina 466004005 Niono 466004006 San 466004007 Tominian 466004099 Ségou region, unknown circle 466005001 Mopti 466005002 Bandiagara 466005003 Bankass 466005004 Djénné 466005005 Douentza 466005006 Koro 466005007 Ténenkou 466005008 Youwarou 466005099 Mopti region, unknown circle 466006001 Tombouctou 466006002 Diré 466006003 Goundam 466006004 Gourma-Rharous 466006005 Niafunké 466006099 Tombouctou region, unknown circle 466007001 Gao 466007002 Ansongo 466007003 Bourem 466007004 Ménaka 466007005 Kidal, Abéïbara, Tessalit, Tin-Essako 466007098 Gao region, unknown circle 466007099 Kidal region, unknown circle 466009001 District of Bamako 466096096 Mali, province unspecified 466097097 Foreign country 466098098 Unknown 466099099 NIU (not in universe) Migration: F-N Variables -- PERSON Disability status DISABLED indicates whether the person reported a disability of any kind. 0 NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown Disability Variables -- PERSON Blind or vision-impaired DISBLND indicates whether the person was blind or had limited vision. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Deaf or hearing-impaired DISDEAF indicates whether the person was deaf or had limited hearing. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mental disability DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Person number (within household) Mali 2009: All records This variable indicates the person number (within household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 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 Technical Person Variables -- PERSON Sex P3) Sex What is [Name]?s sex? <div class="i1">Record the corresponding code [] 1 Male [] 2 Female</div> 6.2.3.2 Sex (Column P3) In case the name can be used for both sexes, the agent asks "Is [NAME] a man or a woman?." Note the sex of each individual in the household. Write the code corresponding to the sex in the box: 1 for Male and 2 for Female. Mali 2009: All persons This variable indicates the person’s sex. 1 Male 2 Female Demographic Variables -- PERSON Relationship to head of household P4) Relationship to head of household What is the relationship of [Name] to the head of the household? <div class="i1">Record the number in front of the suitable response after the instructions on the bottom of the page. [] 01 Head of household [] 02 Spouse of head of household [] 03 Son or daughter of head of household [] 04 Brother or sister of head of household [] 05 Father or mother of head of household [] 06 Grandchild [] 07 Nephew/niece [] 08 Uncle/Aunt [] 09 Daughter-in-law/Son-in-law [] 10 Other relative of head of household [] 11 Servant [] 12 Not related to head of household</div> 6.2.3.3 Relationship with CM (Column P4) For this question, refer to the order that you have followed in column P2 listing the members of the household. If the advised order registration is respected, column P4 is easily completed by writing the code corresponding to the modality. The CM code is "01"; his wife is "02," his children "03" and so on in accordance with the planned codes at the bottom of the questionnaire (page 2). Mali 2009: All persons This variable indicates the person’s relationship to the head of the household. 01 Head of household 02 Spouse of head of household 03 Son or daughter of head of household 04 Brother or sister of head of household 05 Father or mother of head of household 06 Grandchild 07 Nephew or niece 08 Uncle or aunt 09 Son- or daughter-in-law 10 Other relative of head of household 11 Servant 12 Non-relative Demographic Variables -- PERSON Residential status P5) Residence<div class="i1">Record the corresponding code [] 1 Resident present [] 2 Resident absent [] 3 Visitor</div> 6.2.3.4 Status of residence (Column P5) The reference set to collect data on the state of residence is the night before the passage of the enumerator in the household. The different categories of residents (PR and RA) and visitor status will be distinguished by referring to that night. Refer to the definitions of residents and visitors provided in the concepts. [pg. 20] The agent must write the code corresponding to the location of residence in the box: "1" for RP (Present Resident), "2" for RA (Absent Resident) "3" for V (Visitor). A head of household is never "visitor" in his household. [Omitted examples] Special cases: <div class="i1">1. Field staff (enumerators, team leaders, supervisors, etc.) is identified as Present Resident (RP) in their respective households. 2. Newly transferred government officials to a location are identified in RP in this location; 3. Women who have gone to give birth at a relativ[Name]'s home are recorded as a "visitor" (code "3") with her parents. However, they are recorded "RA" (code "2") in their husband?s household. 4. Students living in boarding schools, those staying in hospitals or rehabilitation centers (prisons, Bollé), nuns living in convents are surveyed in these institutions called "collective households" as present residents (code "1").</div>Special cases for the residential state of nomadic households <div class="i1">Nomadic households are surveyed in the areas where it is assumed they will be found (usual residence or gathering point). When preparing RGPH, these collection points will have been identified. We call these zones that correspond to their usual place of residence "usual corridor of nomadism." In the case where the agent surveys a nomadic household in their "corridor," residency status is "RP" for all household members present. If a household member has not spent the night before the agent's visit with the household, but spent the night in the "corridor" or out of "corridor," he is noted "RA." In the case where the nomadic household is located outside the "corridor," we still consider the household as "RP" (code "1") even if the stay is less than 6 months. A household member is noted "RA" if he did not spend the night with the household (whether inside or outside the "corridor"). Thus, an individual member of a nomadic household living outside the household is considered a visitor in the place of enumeration (where he will be seen).</div> Mali 2009: All persons This variable indicates the person’s residential status. 1 Resident present 2 Resident absent Other Person Variables -- PERSON Religion P6) Religion What is [Name]?s religion? <div class="i1">Record the code in front of the corresponding answer [] 01 Muslim [] 02 Christian [] 03 Animist [] 04 Other religion [] 05 No religion</div> 6.2.3.5 Religion (Column P6) Ask the question "What is (Nam[Name]'s) religion?" and write the corresponding code. The response categories are: <div class="i1">01= Muslim 02 = Christian 03 = Animist 04 = Other religion 05 = No religion</div>Children do not necessarily have the same religion as their parents. For children below six years, write the code of the religion of their mother or the person responsible for the child. Mali 2009: All persons This variable indicates the person’s religion. 1 Muslim 2 Christian 3 Animist 4 Other religion 5 No religion 9 Unknown Ethnicity and Language Variables -- PERSON Birth registration P7) Birth registration Does [Name] have a birth certificate or a suppletory judgment? <div class="i1">Record the corresponding code [] 1 Yes [] 2 No [] 3 Don't know</div> 6.2.3.6 Birth certificate (Column P7) The purpose of this question is to find out if household members have a birth certificate or a suppletory judgment. This question allows for the introduction of questions related to the date of birth (check the accuracy of the age). If the respondent has a birth certificate or a suppletory judgment, age is easily obtained. If the person has a birth certificate or a suppletory judgment, the agent records the code "1," otherwise, he noted "2." In case the respondent does not know (DK), the agent records the code "3." Mali 2009: All persons This variable indicates whether the person has a birth certificate or suppletory judgment. 1 Yes 2 No 3 Respondent does not know 9 Unknown Other Person Variables -- PERSON Month of birth P8) Date of birth<div class="i1">Record the month and year of birth. If the month of birth is not known, record 99. Similarly, record 9999 for the year of birth if it is not known. Month: _ _ Year: _ _ _ _</div> 6.2.3.7 Date of birth (Column P8) The collection of this information is important to understand the age structure of the population. <div class="i1">a. Situation where a person has a birth certificate: For the people in the household who answered "Yes" in P7, the agent complete column P8 from the birth certificate. The agent must push to obtain with the greatest possible accuracy for the date of birth of children under 5 years. [Omitted example] Documents to be considered to find the date of birth are 1) the birth certificate 2) the Family book or booklet 3) the identity card 4) passport 5) driver's license 6) baptism card b. When a person has a suppletory judgment or does not know the birth month: These cases will be most common in the field (e.g., "born around"). In the situation where the respondent does not know his birth month, the agent records the code "99" in the "Month" box and writes the year in the "Year" box. The documents may be: 1) the suppletory judgment, 2) the identity card... [Omitted example] c. When a person does not know the month or year of birth: Do not be surprised by the number of situations like these you will face. Know that most people who answered "No" in the column P7 will be in this situation. To estimate the age of a person, the agent uses several methods: the estimation method from the historical calendar (see Appendix 1) or the method of ranking.</div>Instruction: If the person was born before 1909 (100 years or more), the agent records "99" in the "Month" box and "0000" in the "Year" box. If the person does not know the month or the year, the agent records "99" in the "Month" box and "9999" in the "Year" box. Mali 2009: All persons This variable indicates the month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown Demographic Variables -- PERSON Year of birth P8) Date of birth<div class="i1">Record the month and year of birth. If the month of birth is not known, record 99. Similarly, record 9999 for the year of birth if it is not known. Month: _ _ Year: _ _ _ _</div> 6.2.3.7 Date of birth (Column P8) The collection of this information is important to understand the age structure of the population. <div class="i1">a. Situation where a person has a birth certificate: For the people in the household who answered "Yes" in P7, the agent complete column P8 from the birth certificate. The agent must push to obtain with the greatest possible accuracy for the date of birth of children under 5 years. [Omitted example] Documents to be considered to find the date of birth are 1) the birth certificate 2) the Family book or booklet 3) the identity card 4) passport 5) driver's license 6) baptism card b. When a person has a suppletory judgment or does not know the birth month: These cases will be most common in the field (e.g., "born around"). In the situation where the respondent does not know his birth month, the agent records the code "99" in the "Month" box and writes the year in the "Year" box. The documents may be: 1) the suppletory judgment, 2) the identity card... [Omitted example] c. When a person does not know the month or year of birth: Do not be surprised by the number of situations like these you will face. Know that most people who answered "No" in the column P7 will be in this situation. To estimate the age of a person, the agent uses several methods: the estimation method from the historical calendar (see Appendix 1) or the method of ranking.</div>Instruction: If the person was born before 1909 (100 years or more), the agent records "99" in the "Month" box and "0000" in the "Year" box. If the person does not know the month or the year, the agent records "99" in the "Month" box and "9999" in the "Year" box. Mali 2009: All persons This variable indicates the person’s year of birth. 1909 1909 or earlier 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 9999 Unknown Demographic Variables -- PERSON Age P9) Age<div class="i1">Circle the code of the unit used to tell the age. Record the age in the two spaces provided. [] 1 Day [] 2 Month [] 3 Year _ _</div> 6.2.3.8 Age (Column P9) Age must be inquired on regardless of the method used to determine the date of birth for any individual. After asking date of birth and determining the age in completed year, the agent records the age in the two boxes provided. The agent must specify the unit (day, month, year) by circling the appropriate code ("1" = day, "2" = month, "3" = year). The age in "completed years" refers to the age at last birthday. Age will be determined in completed years for people over a year and in months for children under one year (twelve months). [Omitted examples] Instructions: Write in the age column "99" for the people over 99 years. Age must be obtained in completed years for those over one year of age, in months for those who have not reached a year, and in days for infants less than one month. Special Case: People who don't know their age - During the enumeration, you may encounter of people who do not know their age. The agent must help these individuals to determine their age by one of the two methods below. <div class="i1">Method 1: Estimated from historical calendar The historical calendar is a list of important events (national or local) with the dates, influencing national life or the life of local communities. Determining the age of a person from this calendar is to identify the date of the event closest to his birth date. From that date, the officer estimates the year of birth of the individual and his age by subtracting (RGPH Year (2009) - Year of birth estimated). More specifically, we proceed as follows: <div class="i2">1. The officer estimated by observation the age of the individual (example of an individual whose age is estimated at 30 years). The first estimate is a starting point in the calendar. The agent adds 5 years over and under to this age for a period of estimation. In this case, it is estimated that the individual is between 25 and 35 years old, so that the event period nearest to his birth is: 1974-1984 (2009-25 = 1984 and 2009-35 = 1974). 2. The agent searches the calendar an event occurring in 1974 and asks the individual: "Do you remember this event?"</div> <div class="i3">a. If the answer is "Yes," ask him: "How old were you at that time?"</div> [pg. 23] <div class="i3">Suppose he confidently answers 10 years. Yet this individual was born in 1964 (1974-1910) and his age then 45 years (2009-1964). Suppose he answers: "This event took place when my mother got married, two years before I was born." The year of birth is 1976 (1974 + 2). (The agent estimates the age of the individual at age 33 (2009 - 1976). b. If the answer is "No," then the agent proposes another date of an event falling in the period and again raises the question: "Do you remember this event?" The agent asks these questions to obtain the age. For this information, he can ask other questions such as: "Are you born before or after this event?" Or "How much time elapsed between this event and your birth?"</div> Method 2: Classification Some household members do not know their age, but know how to situate their age according to the age of household members or their families. Thus, if the agent can determine the exact age of one or two of these people, he can deduce an estimate of the age of the individual.</div> Mali 2009: All persons This variable indicates the person’s age in years. 00 Less than 1 year 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 Unknown Demographic Variables -- PERSON Age in months P9) Age<div class="i1">Circle the code of the unit used to tell the age. Record the age in the two spaces provided. [] 1 Day [] 2 Month [] 3 Year _ _</div> 6.2.3.8 Age (Column P9) Age must be inquired on regardless of the method used to determine the date of birth for any individual. After asking date of birth and determining the age in completed year, the agent records the age in the two boxes provided. The agent must specify the unit (day, month, year) by circling the appropriate code ("1" = day, "2" = month, "3" = year). The age in "completed years" refers to the age at last birthday. Age will be determined in completed years for people over a year and in months for children under one year (twelve months). [Omitted examples] Instructions: Write in the age column "99" for the people over 99 years. Age must be obtained in completed years for those over one year of age, in months for those who have not reached a year, and in days for infants less than one month. Special Case: People who don't know their age - During the enumeration, you may encounter of people who do not know their age. The agent must help these individuals to determine their age by one of the two methods below. <div class="i1">Method 1: Estimated from historical calendar The historical calendar is a list of important events (national or local) with the dates, influencing national life or the life of local communities. Determining the age of a person from this calendar is to identify the date of the event closest to his birth date. From that date, the officer estimates the year of birth of the individual and his age by subtracting (RGPH Year (2009) - Year of birth estimated). More specifically, we proceed as follows: <div class="i2">1. The officer estimated by observation the age of the individual (example of an individual whose age is estimated at 30 years). The first estimate is a starting point in the calendar. The agent adds 5 years over and under to this age for a period of estimation. In this case, it is estimated that the individual is between 25 and 35 years old, so that the event period nearest to his birth is: 1974-1984 (2009-25 = 1984 and 2009-35 = 1974). 2. The agent searches the calendar an event occurring in 1974 and asks the individual: "Do you remember this event?"</div> <div class="i3">a. If the answer is "Yes," ask him: "How old were you at that time?"</div> [pg. 23] <div class="i3">Suppose he confidently answers 10 years. Yet this individual was born in 1964 (1974-1910) and his age then 45 years (2009-1964). Suppose he answers: "This event took place when my mother got married, two years before I was born." The year of birth is 1976 (1974 + 2). (The agent estimates the age of the individual at age 33 (2009 - 1976). b. If the answer is "No," then the agent proposes another date of an event falling in the period and again raises the question: "Do you remember this event?" The agent asks these questions to obtain the age. For this information, he can ask other questions such as: "Are you born before or after this event?" Or "How much time elapsed between this event and your birth?"</div> Method 2: Classification Some household members do not know their age, but know how to situate their age according to the age of household members or their families. Thus, if the agent can determine the exact age of one or two of these people, he can deduce an estimate of the age of the individual.</div> Mali 2009: Persons less than 1 year of age [discrepancies: none] This variable indicates the person’s age in months (for persons under 1 year of age). 00 Less than 1 month 01 1 month 02 2 months 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 97 Less than 1 year, months unknown 98 Unknown 99 NIU Demographic Variables -- PERSON Country of birth P10) Location of birth Where was [Name] born? <div class="i1">If in Mali, record the name of the circle if it is known of the name of region if not. Record the name of the country if it?s abroad. ____</div> 6.2.3.9 Place of birth (Column P10) The purpose of this question is to know the birthplace of household members. For this, the enumerator asks the CM the following question: "Where was [Name] born?" and writes out answer in full. <div class="i1">a. In the case where the person was born in Mali: the enumerator writes the name of the Circle of birth on the line provided. When a respondent gives place of birth as the name of a locality, the agent must determine the circle belonging to this locality. If the person and / or agent do not know the name of the Circle, write the name of the region. [Omitted example] b. If the individual was born abroad (outside of Mali), enter the name of the country of birth (Senegal, Gambia, Guinea, France, etc.).</div>Instruction: Do not fill in the shaded boxes (reserved for codification) In cases where the agent does not know the name of the circle of birth of the respondent, he can ask his team leader or his team. If the place of birth coincides with the main regional location, the agent records: C / "name of circle" to designate the circle of birth. If the circle of birth is not known, the agent records R / "name of region" to designate the region of birth. This instruction is valid for P13 and P15 columns. [pg. 24] If the place of birth is the district of Bamako, the agent writes the name of the municipality (eg CI for Commune I and CII for Commune II, etc). Mali 2009: All persons This variable indicates the person's country birth. 101 South Africa 102 Algeria 103 Angola 104 Benin 106 Burkina Faso 108 Cameroon 111 Congo-Brazzaville 112 Democratic Republic of Congo 113 Côte d'Ivoire 115 Egypt 118 Gabon 119 Gambia 120 Ghana 121 Guinea-Bissau 122 Guinea 123 Equatorial Guinea 127 Liberia 128 Libya 131 Mali 132 Morocco 134 Mauritania 138 Niger 139 Nigeria 141 Central African Republic 143 Rwanda 147 Senegal 149 Sierra Leone 151 Sudan 153 Tanzania 154 Chad 155 Togo 157 Zambia 199 Other Africa 213 Chile 220 United States 221 Grenada 223 Guadeloupe 231 Turks and Caicos Islands 232 British Virgin Islands 233 U.S. Virgin Islands 251 Uruguay 299 Other America 301 Afghanistan 302 Saudi Arabia 310 China 311 North Korea 313 United Arab Emirates 320 Israel 321 Japan 323 Kazakhstan 340 Singapore 345 Thailand 399 Other Asia 401 Albania 403 Andorra 410 Croatia 415 France 440 Russia 499 Other Europe 521 French Polynesia 523 American Samoa 599 Other Oceania 999 Unknown Nativity and Birthplace Variables -- PERSON Region of birth P10) Location of birth Where was [Name] born? <div class="i1">If in Mali, record the name of the circle if it is known of the name of region if not. Record the name of the country if it?s abroad. ____</div> 6.2.3.9 Place of birth (Column P10) The purpose of this question is to know the birthplace of household members. For this, the enumerator asks the CM the following question: "Where was [Name] born?" and writes out answer in full. <div class="i1">a. In the case where the person was born in Mali: the enumerator writes the name of the Circle of birth on the line provided. When a respondent gives place of birth as the name of a locality, the agent must determine the circle belonging to this locality. If the person and / or agent do not know the name of the Circle, write the name of the region. [Omitted example] b. If the individual was born abroad (outside of Mali), enter the name of the country of birth (Senegal, Gambia, Guinea, France, etc.).</div>Instruction: Do not fill in the shaded boxes (reserved for codification) In cases where the agent does not know the name of the circle of birth of the respondent, he can ask his team leader or his team. If the place of birth coincides with the main regional location, the agent records: C / "name of circle" to designate the circle of birth. If the circle of birth is not known, the agent records R / "name of region" to designate the region of birth. This instruction is valid for P13 and P15 columns. [pg. 24] If the place of birth is the district of Bamako, the agent writes the name of the municipality (eg CI for Commune I and CII for Commune II, etc). Mali 2009: Persons born in Mali [discrepancies: none] This variable indicates the person's region of birth (if born in Mali). 01 Kayes 02 Koulikoro 03 Sikasso 04 Ségou 05 Mopti 06 Tombouctou 07 Gao 08 Kidal 09 Bamako 98 Unknown 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Circle of birth P10) Location of birth Where was [Name] born? <div class="i1">If in Mali, record the name of the circle if it is known of the name of region if not. Record the name of the country if it?s abroad. ____</div> 6.2.3.9 Place of birth (Column P10) The purpose of this question is to know the birthplace of household members. For this, the enumerator asks the CM the following question: "Where was [Name] born?" and writes out answer in full. <div class="i1">a. In the case where the person was born in Mali: the enumerator writes the name of the Circle of birth on the line provided. When a respondent gives place of birth as the name of a locality, the agent must determine the circle belonging to this locality. If the person and / or agent do not know the name of the Circle, write the name of the region. [Omitted example] b. If the individual was born abroad (outside of Mali), enter the name of the country of birth (Senegal, Gambia, Guinea, France, etc.).</div>Instruction: Do not fill in the shaded boxes (reserved for codification) In cases where the agent does not know the name of the circle of birth of the respondent, he can ask his team leader or his team. If the place of birth coincides with the main regional location, the agent records: C / "name of circle" to designate the circle of birth. If the circle of birth is not known, the agent records R / "name of region" to designate the region of birth. This instruction is valid for P13 and P15 columns. [pg. 24] If the place of birth is the district of Bamako, the agent writes the name of the municipality (eg CI for Commune I and CII for Commune II, etc). Mali 2009: Persons born in Mali [discrepancies: none] This variable indicates the person's circle of birth (if born in Mali). 10 Kayes region, unknown circle 11 Kayes 12 Bafoulabé 13 Diéma 14 Kéniéba 15 Kita 16 Nioro 17 Yélimané 20 Koulikoro region, unknown circle 21 Koulikoro 22 Banamba 23 Dioila 24 Kangaba 25 Kati 26 Kolokani 27 Nara 30 Sikasso region, unknown circle 31 Sikasso 32 Bougouni 33 Kadiolo 34 Kolondiéba 35 Koutiala 36 Yanfolila 37 Yorosso 40 Ségou region, unknown circle 41 Ségou 42 Baraouéli 43 Bla 44 Macina 45 Niono 46 San 47 Tominian 50 Mopti region, unknown circle 51 Mopti 52 Bandiagara 53 Bankass 54 Djénné 55 Douentza 56 Koro 57 Ténenkou 58 Youvarou 60 Tombouctou region, unknown circle 61 Tombouctou 62 Diré 63 Goundam 64 Gourma Rharous 65 Niafunké 70 Gao region, unknown circle 71 Gao 72 Ansongo 73 Bourem 74 Ménaka 80 Kidal region, unknown circle 81 Kidal 82 Abéibara 83 Téssalit 84 Tin Essako 90 District of Bamako, unknown commune 91 Commune I of the District of Bamako 92 Commune II of the District of Bamako 93 Commune III of the District of Bamako 94 Commune IV of the District of Bamako 95 Commune V of the District of Bamako 96 Commune IV of the District of Bamako 98 Unknown 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Nationality P11) Nationality What is [Name]?s nationality? <div class="i1">Record Mali for Malians and the name of the country for foreigners. ____</div> 6.2.3.10 Nationality (Column P11) This question aims to determine the nationality of members of the household. The question to ask is: "What is the nationality of [NAME]?." The officer writes the response in column P11 He notes "Mali" for "Mali," the name of the country to foreigners (Côte d'Ivoire, Senegal, Cameroon, Togo, France etc. ....). For people with dual nationality, the agent records the declared nationality. For people in the process of naturalization or for those whose nationality is not well defined, the agent records the country of origin. [Omitted example] Instruction: Do not fill in the shaded boxes. They are for codification. Mali 2009: All persons This variable indicates the person's nationality. 103 Angola 104 Benin 106 Burkina Faso 108 Cameroon 110 Comores 111 Congo-Brazzaville 112 Democratic Republic of Congo 113 Côte d'Ivoire 118 Gabon 120 Ghana 121 Guinea-Bissau 122 Guinea 123 Equatorial Guinea 130 Malawi 131 Mali 132 Morocco 133 Mauritius 134 Mauritania 136 Mozambique 138 Niger 139 Nigeria 143 Rwanda 147 Senegal 149 Sierra Leone 151 Sudan 155 Togo 199 Other Africa 213 Chile 220 United States 299 Other America 302 Saudi Arabia 310 China 313 United Arab Emirates 399 Other Asia 415 France 499 Other Europe 999 Unknown Nativity and Birthplace Variables -- PERSON Disability P12) Handicap Does [Name] have any kind of handicap? <div class="i1">Record the corresponding code. [] 00 None [] 01 Physical handicap [] 02 Hearing handicap [] 03 Visual handicap [] 04 Mental handicap [] 05 Multiple handicaps</div> 6.2.3.11 Disability (Column P12) This question covers the main disabilities encountered in the Malian population. The term "disability," refers to a physical, auditory, hearing, visual or mental disability in everyday life resulting in a slowdown of the productive activity of the individual. In some cases, disability can result in complete incapacitation. The question to ask the CM for each household member: "Does [Name] have a disability?" The agent records: <div class="i1">0 No: Person with no disability 1 Physical Disability: This is a person who, for various reasons (injury, heredity ...), lost or has deformations of its upper or lower members 2 Hearing impairment: This is person affected by a difficulty related to hearing (ears) 3 Visual Impairment: This is a person affected by an difficulty related sight (eyes) 4 Special Needs: This is about a difficulty related to the nervous system 5 Polyhandicaped: This is a person who suffers from several disabilities at once 6 Mute: This is a person who does not have the ability to speak 7 Other Disabilities: This is any other disability outside of everything already mentioned.</div>[Omitted example] Instructions: A disability is an everyday disturbance. The agent must verify that it is not a temporary illness (malaria, diarrhea, influenza, leprosy, tuberculosis ...). Mali 2009: All persons This variable indicates the person's disability. 0 None 1 Physical disability 2 Hearing disability 3 Vision disability 4 Mental disability 5 Multiple disabilities 9 Unknown Disability Variables -- PERSON Country of previous residence P13) Previous residence Did [Name] ever live elsewhere for more than 6 months? <div class="i1">If no, record No. If yes: Where did [Name] live just before moving to where he/she currently lives? Record the circle if it?s known, or the region if not. Record the name of the country if abroad. ____</div> 6.2.3.12 Former residence (Column P13) The agent ask the following question: "Has [NAME] ever have stayed elsewhere for more than six (6) months?." If the answer is "No," enter "No" on the line provided in column 13. However, if the answer is "Yes," the agent then asks the question: "Where was [NAME] living immediately before settling where he now resides?" <div class="i1">a. If the person lived in Mali, the agent writes the name of the circle if it is known or region when the name of the circle is not known. b. If the person resided abroad (outside of Mali), the agent writes the name of the country.</div>Instructions: <div class="i1">For visitors, it is necessary to distinguish between the place of enumeration, usual place of residence and place of previous residence. Place of Census: this is where the person was surveyed Usual place of residence: it is current place where he is staying or intends to stay longer than 6 months Previous place of residence: it is the last place of residence before moving to current place of residence. Do not fill in the shaded boxes (reserved for codification)</div> Mali 2009: Persons whose previous residence was abroad [discrepancies: unverifiable] This variable indicates the person's country of previous residence. 101 South Africa 102 Algeria 103 Angola 104 Benin 106 Burkina Faso 108 Cameroon 110 Comoros 111 Congo-Brazzaville 112 Democratic Republic of Congo 113 Côte d'Ivoire 115 Egypt 118 Gabon 119 Gambia 120 Ghana 121 Guinea-Bissau 122 Guinea 123 Equatorial Guinea 127 Liberia 128 Libya 130 Malawi 132 Morocco 134 Mauritania 138 Niger 139 Nigeria 141 Central African Republic 143 Rwanda 147 Senegal 149 Sierra Leone 150 Somalia 151 Sudan 153 Tanzania 154 Chad 155 Togo 157 Zambia 199 Other Africa 212 Canada 213 Chile 220 United States 223 Guadeloupe 230 Falkland Islands 232 British Virgin Islands 233 U.S. Virgin Islands 250 Trinidad and Tobago 299 Other Americas 302 Saudi Arabia 310 China 311 North Korea 312 South Korea 313 United Arab Emirates 320 Israel 321 Japan 323 Kazakhstan 340 Singapore 345 Thailand 350 Yemen 399 Other Asia 401 Albania 402 Germany 403 Andorra 410 Croatia 412 Spain 413 Estonia 415 France 420 Channel Islands 423 Iceland 430 Malta 440 Russia 499 Other Europe 523 American Samoa 599 Other Oceania 998 Unknown 999 NIU (not in universe) Migration: Global Variables -- PERSON Region of previous residence P13) Previous residence Did [Name] ever live elsewhere for more than 6 months? <div class="i1">If no, record No. If yes: Where did [Name] live just before moving to where he/she currently lives? Record the circle if it?s known, or the region if not. Record the name of the country if abroad. ____</div> 6.2.3.12 Former residence (Column P13) The agent ask the following question: "Has [NAME] ever have stayed elsewhere for more than six (6) months?." If the answer is "No," enter "No" on the line provided in column 13. However, if the answer is "Yes," the agent then asks the question: "Where was [NAME] living immediately before settling where he now resides?" <div class="i1">a. If the person lived in Mali, the agent writes the name of the circle if it is known or region when the name of the circle is not known. b. If the person resided abroad (outside of Mali), the agent writes the name of the country.</div>Instructions: <div class="i1">For visitors, it is necessary to distinguish between the place of enumeration, usual place of residence and place of previous residence. Place of Census: this is where the person was surveyed Usual place of residence: it is current place where he is staying or intends to stay longer than 6 months Previous place of residence: it is the last place of residence before moving to current place of residence. Do not fill in the shaded boxes (reserved for codification)</div> Mali 2009: Persons whose previous residence was in Mali [discrepancies: unverifiable] This variable indicates the person's region of previous residence. 01 Kayes 02 Koulikoro 03 Sikasso 04 Ségou 05 Mopti 06 Tombouctou 07 Gao 08 Kidal 09 Bamako 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Circle of previous residence P13) Previous residence Did [Name] ever live elsewhere for more than 6 months? <div class="i1">If no, record No. If yes: Where did [Name] live just before moving to where he/she currently lives? Record the circle if it?s known, or the region if not. Record the name of the country if abroad. ____</div> 6.2.3.12 Former residence (Column P13) The agent ask the following question: "Has [NAME] ever have stayed elsewhere for more than six (6) months?." If the answer is "No," enter "No" on the line provided in column 13. However, if the answer is "Yes," the agent then asks the question: "Where was [NAME] living immediately before settling where he now resides?" <div class="i1">a. If the person lived in Mali, the agent writes the name of the circle if it is known or region when the name of the circle is not known. b. If the person resided abroad (outside of Mali), the agent writes the name of the country.</div>Instructions: <div class="i1">For visitors, it is necessary to distinguish between the place of enumeration, usual place of residence and place of previous residence. Place of Census: this is where the person was surveyed Usual place of residence: it is current place where he is staying or intends to stay longer than 6 months Previous place of residence: it is the last place of residence before moving to current place of residence. Do not fill in the shaded boxes (reserved for codification)</div> Mali 2009: Persons whose previous residence was in Mali [discrepancies: unverifiable] This variable indicates the person's circle of previous residence. 10 Kayes region, unknown circle 11 Kayes 12 Bafoulabé 13 Diéma 14 Kéniéba 15 Kita 16 Nioro 17 Yélimané 20 Koulikoro region, unknown circle 21 Koulikoro 22 Banamba 23 Dioila 24 Kangaba 25 Kati 26 Kolokani 27 Nara 30 Sikasso region, unknown circle 31 Sikasso 32 Bougouni 33 Kadiolo 34 Kolondiéba 35 Koutiala 36 Yanfolila 37 Yorosso 40 Ségou region, unknown circle 41 Ségou 42 Baraouéli 43 Bla 44 Macina 45 Niono 46 San 47 Tominian 50 Mopti region, unknown circle 51 Mopti 52 Bandiagara 53 Bankass 54 Djénné 55 Douentza 56 Koro 57 Ténenkou 58 Youvarou 60 Tombouctou region, unknown circle 61 Tombouctou 62 Diré 63 Goundam 64 Gourma Rharous 65 Niafunké 70 Gao region, unknown circle 71 Gao 72 Ansongo 73 Bourem 74 Ménaka 80 Kidal region, unknown circle 81 Kidal 82 Abéibara 83 Téssalit 84 Tin Essako 90 District of Bamako, commune unknown 91 Commune I of the District of Bamako 92 Commune II of the District of Bamako 93 Commune III of the District of Bamako 94 Commune IV of the District of Bamako 95 Commune V of the District of Bamako 96 Commune IV of the District of Bamako 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Length of residence or stay in years P14) Length of residence/stay For how many years has [Name] continuously lived here? <div class="i1">_ _</div> 6.2.3.13 Duration of residence (Column P14) This question is intended for residents of the household (PR and AR). The length of residence is the period since the respondent first resided at the place of enumeration. It is expressed in completed years. Ask the following question: "For how many years has [NAME] regularly lived here?." <div class="i1">a. For individuals born in the circle of the census and have never made a trip to another circle or abroad for a period of more than six (6) months, the agent reports the age of the column P9 in column P14. This involves people who answered "No" to question P13. b. For individuals who have already spent at least six (6) months outside the circle, the length of residence is the time in years passed since the last entry into the circle of the census. This involves people who answered "Yes" to question P13.</div>[Omitted example] [pg. 26] Instructions: For a person who has resided for more than 6 months in another village of the same circle where he is surveyed, the agent should not consider the previous village as a place of previous residence. The previous place of residence is outside of the circle in which the person is surveyed. We must remember that all lengths of residence should be recorded in completed years. The agent must put "00" for individuals whose length of residence in the circle is less than one year. Mali 2009: All persons This variable indicates the person's length of residence or stay 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 99 Unknown Migration: Global Variables -- PERSON Father alive P16) Father Is [Name]?s natural father alive? <div class="i1">Record the corresponding code [] 1 Yes [] 2 No [] 3 Don't know</div> 6.2.3.15 Living father (Column P16) Ask the following question: "Is [Name]?s father still alive?" Enter in the box the code of the response: "1" for "Yes," "2" to "No" and "3" for "DK" (Do not know). Instruction: This question relates to the father whether he is present or not in the household. Mali 2009: All persons This variable indicates whether the person's father is alive. 1 Yes 2 No 3 Respondent does not know 9 Unknown Fertility and Mortality Variables -- PERSON Mother alive P17) Mother Is [Name]?s natural mother alive? <div class="i1">Record the corresponding code [] 1 Yes [] 2 No [] 3 Don't know</div> 6.2.3.16 Living mother (Column P17) Identical to that of column P16, except that the question relates to the mother. Questions (P18 to P23) about members of the household three (3) years or older. These questions collect information on education (attendance, level, class) and languages (native and spoken). Mali 2009: All persons This variable indicates whether the person's mother is alive. 1 Yes 2 No 3 Respondent does not know 9 Unknown Fertility and Mortality Variables -- PERSON School attendance Population age three or older [Questions P18-P23 were asked for persons age 3+.] P18) School attendance Has [Name] ever attended school or is he/she currently attending school? <div class="i1">Record the corresponding code [] 0 No, never attended [] 1 Yes, attended in past [] 2 Yes, attending currently</div> 6.2.3.17 School attendance (Column P18) The agent asks the question: "Has [NAME] ever attended or does he/she currently attend school?." We consider this attendance regardless of the type of school (regular or not, full-or part-time, day or evening). Enter the appropriate code: "0" for "No, never attended" "1" for "Yes, attended" and "2" for "Yes, currently attending." Mali 2009: Persons age 3+ [discrepancies: none] This variable indicates the person's school attendance. 0 No, never attended 1 Yes, attended in the past 2 Yes, attending currently 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Education level Population age three or older [Questions P18-P23 were asked for persons age 3+.] P19) Level What is [Name]?s education level? <div class="i1">Record the code corresponding to the response (compare from bottom of the page) [] 00 Not applicable (less than 3 years) [] 01 None [] 02 Instruction in the Koran (not trained) [] 03 Literate (not trained) [] 04 Preschool [] 05 Fundamental 1st cycle [] 06 Fundamental 2nd cycle [] 07 Madras 1st cycle [] 08 Madras 2nd cycle [] 09 Secondary [] 10 Technical and Professional [] 11 Teaching school [] 12 University [] 13 Post University</div> 6.2.3.18 Education level (Column P19) The agent ask the following question: "What is [Name] educational level?." Enter the appropriate code (available at the bottom of the page of the questionnaire). If the person is not applicable (less than three years), enter the code "00" and if the person does not attend school, enter the code "01." <div class="i1">00 = Not relevant (under 3 years) 01 = None (uneducated) 02 = Education of the Koran 03 = literate 04 = Preschool 05 = Fundamental 1st cycle 06 = Fundamental 2nd cycle 07 = 1st cycle Medersa 08 = 2nd cycle Medersa 09 = Secondary 10 = Technical and Vocational 11 = Teacher training 12 = University 13 = Post University</div> Mali 2009: Persons age 3+ [discrepancies: none] This variable indicates the person's education level. 00 NIU (not in universe) 01 None 02 Koranic school (not trained) 03 Literate (not trained) 04 Preschool 05 Fundamental, 1st cycle 06 Fundamental, 2nd cycle 07 Madras, 1st cycle 08 Madras, 2nd cycle 09 Secondary 10 Technical and professional 11 Teaching school 12 University 13 Post-university 99 Unknown Education Variables -- PERSON Highest class attended within education level Population age three or older [Questions P18-P23 were asked for persons age 3+.] P20) Class What is the highest class in this level of school [Name] has attended? <div class="i1">____</div> 6.2.3.19 Class (Last class taken) (Column P20) The enumerator asks the question: "What is the last class that [Name] took at this level of education?" This is the last class or year successfully completed by [NAME] at the level of education. [Omitted example] Instruction: For those not relevant (less than 3 years old), people without any education, for those who attended school on the Koran or a literacy program, the agent records code "00." Mali 2009: Persons age 3+ [discrepancies: none] This variable indicates the person's highest class attended within education level. 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 99 Unknown Education Variables -- PERSON Highest class attended within education level Population age three or older [Questions P18-P23 were asked for persons age 3+.] P19) Level What is [Name]?s education level? <div class="i1">Record the code corresponding to the response (compare from bottom of the page) [] 00 Not applicable (less than 3 years) [] 01 None [] 02 Instruction in the Koran (not trained) [] 03 Literate (not trained) [] 04 Preschool [] 05 Fundamental 1st cycle [] 06 Fundamental 2nd cycle [] 07 Madras 1st cycle [] 08 Madras 2nd cycle [] 09 Secondary [] 10 Technical and Professional [] 11 Teaching school [] 12 University [] 13 Post University</div>P20) Class What is the highest class in this level of school [Name] has attended? <div class="i1">____</div> 6.2.3.18 Education level (Column P19) The agent ask the following question: "What is [Name] educational level?." Enter the appropriate code (available at the bottom of the page of the questionnaire). If the person is not applicable (less than three years), enter the code "00" and if the person does not attend school, enter the code "01." <div class="i1">00 = Not relevant (under 3 years) 01 = None (uneducated) 02 = Education of the Koran 03 = literate 04 = Preschool 05 = Fundamental 1st cycle 06 = Fundamental 2nd cycle 07 = 1st cycle Medersa 08 = 2nd cycle Medersa 09 = Secondary 10 = Technical and Vocational 11 = Teacher training 12 = University 13 = Post University</div> 6.2.3.19 Class (Last class taken) (Column P20) The enumerator asks the question: "What is the last class that [Name] took at this level of education?" This is the last class or year successfully completed by [NAME] at the level of education. [Omitted example] Instruction: For those not relevant (less than 3 years old), people without any education, for those who attended school on the Koran or a literacy program, the agent records code "00." Mali 2009: Persons age 3+ [discrepancies: none] This variable indicates the person's highest class attended within education level. 0000 NIU (not in universe) 0100 No schooling 0200 Koranic school, 0 years 0300 Literate, 0 years 0401 Preschool, 1 year 0402 Preschool, 2 years 0403 Preschool, 3 years 0501 Fundamental 1st cycle, 1 year 0502 Fundamental 1st cycle, 2 years 0503 Fundamental 1st cycle, 3 years 0504 Fundamental 1st cycle, 4 years 0505 Fundamental 1st cycle, 5 years 0506 Fundamental 1st cycle, 6 years 0599 Fundamental 1st cycle, unknown class 0606 Fundamental 2nd cycle, 6 years 0607 Fundamental 2nd cycle, 7 years 0608 Fundamental 2nd cycle, 8 years 0609 Fundamental 2nd cycle, 9 years 0699 Fundamental 2nd cycle, unknown class 0701 Madras 1st cycle, 1 year 0702 Madras 1st cycle, 2 years 0703 Madras 1st cycle, 3 years 0704 Madras 1st cycle, 4 years 0705 Madras 1st cycle, 5 years 0706 Madras 1st cycle, 6 years 0799 Madras 1st cycle, unknown year 0806 Madras 2nd cycle, 6 years 0807 Madras 2nd cycle, 7 years 0808 Madras 2nd cycle, 8 years 0809 Madras 2nd cycle, 9 years 0899 Madras 2nd cycle, unknown year 0909 Secondary, 9 years 0910 Secondary, 10 years 0911 Secondary, 11 years 0912 Secondary, 12 years 0999 Secondary, unknown year 1001 Technical and professional, 1 year 1002 Technical and professional, 2 years 1003 Technical and professional, 3 years 1004 Technical and professional, 4 years 1009 Technical and professional, 9 years 1010 Technical and professional, 10 years 1011 Technical and professional, 11 years 1012 Technical and professional, 12 years 1099 Technical and professional 1101 Teaching school, 1 year 1102 Teaching school, 2 years 1103 Teaching school, 3 years 1104 Teaching school, 4 years 1109 Teaching school, 9 years 1110 Teaching school, 10 years 1111 Teaching school, 11 years 1112 Teaching school, 12 years 1199 Teaching school, unknown class 1201 University, 1 year 1202 University, 2 years 1203 University, 3 years 1204 University, 4 years 1205 University, 5 years 1206 University, 6 years 1207 University, 7 years 1208 University, 8 years 1209 University, 9 years 1210 University, 10 years 1211 University, 11 years 1212 University, 12 years 1299 University, unknown class 1301 Post university, 1 or 2 years 1303 Post university, 3 years 1304 Post university, 4 years 1305 Post university, 5 years 1306 Post university, 6 years 1307 Post university, 7 years 1308 Post university, 8 years 1309 Post university, 9 or more years 1399 Post university, unknown class 9999 Unknown Education Variables -- PERSON Highest diploma attained Population age three or older [Questions P18-P23 were asked for persons age 3+.] P21) Diploma What is the highest diploma [Name] earned? <div class="i1">Record code corresponding to the answer based on the instructions at the bottom of the page. [] 00 Nothing, Koran instruction, literate, person not applicable [] 01 Certificate of primary studies [] 02 Fundamental studies diploma (DEF) [##translator note: entrance exam for secondary school admission [] 03 CAP [##translator note: Level V diploma, stands for Certificate of Professional Aptitude] [] 04 Preschool and special educator teacher training [] 05 Technicia[name]'s certificate (BT) [] 06 Superior Technicia[name]'s certificate (BTS)/University Technology Diploma (DUT) (BAC + 2, 3) [] 07 Teaching training (IFM) [] 08 High school diploma [] 09 2-year college degree (DEUG) [] 10 Bachelor's degree [] 11 Master's degree [] 12 Post university diploma (Master, DEA, DESS, PHD, etc)</div> 6.2.3.20 Diploma (Column P21) Depending on the level of education (P19) and the last grade completed (P20), the enumerator can easily fill in the highest degree obtained. The agent asks the question: "What is the highest diploma that [Name] obtained?." The registered agent corresponding to the degree in the box provided (refer to codes on the bottom of the questionnaire) code. <div class="i1">00 = None, Koranic school, literacy program, or person not relevant 01 = Certificate of Primary Education 02 = Secondary school diploma (DEF) 03 = Secondary/Professional certificate (CAP) 04 = Preschool and special educator training 05 = Technical high school diploma (BT) 06 = Technician certificate (BTS) / University Diploma of Technology (DUT) (BAC 2.3) 07 = Diploma of Teacher Training (IFM) 08 = High school diploma 09 = General Diploma University (DEUG) (BAC +2) [two year college degree] 10 = Bachelor's (BAC +3)</div>[pg. 28] <div class="i1">11 = Master's (LAC 4) 12 = Post Graduate University (Masters, PHD, etc.). (BAC +5)</div> Mali 2009: Persons age 3+ who attended school (not Koranic school or literacy training) beyond the primary level [discrepancies: none] This variable indicates the person's highest diploma attained. 00 NIU (not in universe) 01 Certificate of primary studies 02 Fundamental studies diploma 03 Certificate of professional aptitude 04 Preschool and special educator teacher training 05 Technician's certificate 06 Superior technician's certificate or university technology diploma 07 Teach training 08 High school diploma 09 Two year college degree 10 Bachelor's degree (baccalaureate plus 3 years) 11 Master's degree (baccalaureate plus 4 years) 12 Post university diploma (Masters, DEA, DESS, PhD, etc.) 99 Unknown Education Variables -- PERSON Native language Population age three or older [Questions P18-P23 were asked for persons age 3+.] P22) What is [Name]?s native language? <div class="i1">Record code corresponding to the answer based on the instructions at the bottom of the page. [] 00 Person not applicable [] 01 Bambara [] 02 Malinke [] 03 Peul/Foulfoulbe [] 04 Sonrai/Djerma [] 05 Maraka/Soninke [] 06 Kassonke [] 07 Senoufo [] 08 Dogon [] 09 Maure [] 10 Tamacheq [] 11 Bobo [] 12 Dafing [] 13 Minianka [] 14 Haoussa [] 15 Samogo [] 16 Bozo [] 17 Arab [] 18 Other Malian languages [] 19 Other African languages [] 20 Other foreign languages</div> 6.2.3.21 Language (Column P22) The enumerator asks the question: "What is [Name]?s mother tongue?." The mother tongue is the language usually spoken in the household during (the person)'s infancy. Enter the corresponding response (codes at the bottom of the page of the questionnaire) code. The code "00" is for children who do not yet know how to talk (less than 3 years). <div class="i1">00 = Person not relevant 01 = Bambara 02 = Malinké 03 = Peul/Foulfoulbé 04 = Sonrai/Djerma 05 = Maraka/Soninké 06 = Kassonké 07 = Sénoufo 08 = Dogon 09 = Maure 10 = Tamacheq 11 = Bobo 12 = Dafing 13 = Minianka 14 = Haoussa 15 = Samogo 16 = Bozo 17 = Arab 18 = Other Malian languages 19 = Other African languages 20 = Other foreign languages</div>[Omitted example] Instructions: The enumerator should not confuse the native language with ethnicity. Indeed, one may be from an ethnic group without speaking the language of this ethnic group. Mali 2009: Persons age 3+ [discrepancies: none] This variable indicates the person's native language. 00 NIU (not in universe) 01 Bambara 02 Malinké 03 Peul or Foulfoulbé 04 Sonraï or Djerma 05 Maraka or Soninké 06 Kassonké 07 Sénoufo 08 Dogon 09 Maure 10 Tamacheq 11 Bobo 12 Dafing 13 Minianka 14 Haoussa 15 Samogo 16 Bozo 17 Arabic 18 Other Malian languages 19 Other African languages 20 Other foreign languages 99 Unknown Ethnicity and Language Variables -- PERSON Language spoken fluently Population age three or older [Questions P18-P23 were asked for persons age 3+.] P23) Spoken What language does [Name] speak fluently? <div class="i1">Record code corresponding to the answer based on the instructions at the bottom of the page. [] 00 Person not applicable [] 01 Bambara [] 02 Malinke [] 03 Peul/Foulfoulbe [] 04 Sonrai/Djerma [] 05 Maraka/Soninke [] 06 Kassonke [] 07 Senoufo [] 08 Dogon [] 09 Maure [] 10 Tamacheq [] 11 Bobo [] 12 Dafing [] 13 Minianka [] 14 Haoussa [] 15 Samogo [] 16 Bozo [] 17 Arab [] 18 Other Malian languages [] 19 Other African languages [] 20 Other foreign languages</div> 6.2.3.22 Language spoken (Column P23) The officer asked the following question: "What is the language that [Name] speaks fluently?." Enter the code in the box provided for this purpose (codes in the footer of the questionnaire). The fluently spoken language is either his native language or another language. Frequency is taken into account. A person can be from an ethnic group, have a native language that is different from that spoken by his/her ethnicity and fluently speaks a language other than the language of the ethnicity and the native language. Mali 2009: Persons age 3+ [discrepancies: none] This variable indicates the language spoken fluently by the person. 00 NIU (not in universe) 01 Bambara 02 Malinké 03 Peul or Foulfoulbé 04 Sonraï or Djerma 05 Maraka or Soninké 06 Kassonké 07 Sénoufo 08 Dogon 09 Maure 10 Tamacheq 11 Bobo 12 Dafing 13 Minianka 14 Haoussa 15 Samogo 16 Bozo 17 Arabic 18 Other Malian languages 19 Other African languages 20 Other foreign languages 99 Unknown Ethnicity and Language Variables -- PERSON Activity status Population age six or older [Questions P24-P28 were asked for persons age 6+.] P24) Occupation situation What did [Name] do for work most of the time in the last 4 weeks? <div class="i1">Record code corresponding to the answer based on the instructions at the bottom of the page. If Yes, use codes 1 or 2, if no, use codes 3 to 9. [] 0 Person not applicable [] 1 Occupied [] 2 Unemployed [] 3 Looking for first job [] 4 Seasonal inactivity [] 5 Occupied at home [] 6 Student [] 7 Person of independent means [] 8 Retired, elderly [] 9 Hasn?t worked</div> Questions (P24 to P28) are for members of the household who are six (6) years or older. This part of the questionnaire allows for the collection of information on employment, the type of employment, the branch of the industry. Particular emphasis is placed on farming due to its importance in the occupations of the population. 6.2.3.23 Occupation situation (Column P24) This question is used to get information on the main occupation of the respondent during the four (4) weeks prior to the visit of the enumerator. Depending on the answer given, the agent writes in the corresponding code in the boxes provided for this purpose (codes at the bottom of the questionnaire). A person of independent means is a person who lives on annuity or on non-professional income. The annuity is an annual income from investment trusts or operations under favorable conditions (land income, guaranteed income....). <div class="i1">0 = Not relevant 1 = Employed 2 = Unemployed 3 = Looking for a first job 4 = Seasonal inactivity 5 = Works at home 6 = Student 7 = Person of independent means 8 = Retired, old 9 = Did not work</div>An unemployed person: is any person above a specific age (6 years) who during the reference period (4 weeks) was: <div class="i1">"Without work," i.e., who did not have one (paid or unpaid work). "Available for work" in a paid or unpaid job during the reference period "Looking for work," i.e. has taken specific steps during the reference period to seek employment.</div>A person classified as "4," that is to say, seasonal inactivity is a person who works periodically with the seasons: a HUICOMA worker (cotton mill in Mali) who cannot work because of absence of raw material or a COMANAV worker (Malian Navigation Company) that cannot work due to the decreased water level of the Niger River. A person answering the code "5" is a person employed exclusively in the home. Mali 2009: Persons age 6+ [discrepancies: type I none; type II 0.5%] This variable indicates the person's activity status. 01 At work 02 Unemployed (having previously worked) 03 Looking for first job 04 Seasonal inactivity 05 Occupied at home 06 Student 07 Person of independent means 08 Retired or elderly 09 Has not worked 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Principal occupation Population age six or older [Questions P24-P28 were asked for persons age 6+.] P25) Main economic activity For those who worked during the reference month: What type of work did [Name] mainly do? For those who did not work but who have worked: What was the last main job that [Name] had? <div class="i1">Record the response. ____</div> Questions (P24 to P28) are for members of the household who are six (6) years or older. This part of the questionnaire allows for the collection of information on employment, the type of employment, the branch of the industry. Particular emphasis is placed on farming due to its importance in the occupations of the population. 6.2.3.24 Main economic activity (Column P25) Write clearly and legibly the wording of the main economic activity of household members who are six (6) years or older. This question is also for people who were employed but who are now unemployed. For individuals who worked during the reference period (in the months before the agent's visit), the main activity is the activity that occupied the individual for the most time. For individuals who have not worked during the reference period (in the months before the passage of the agent), the main activity is the last activity that occupied the individual for the most time. For students, senior citizens, those who work from home, and people of independent means, the agent records based on the situation of the student, the senior citizen, the person who works at home, or the person of independent means. [pg. 30] The agent records the activity exercised by the person who was surveyed. It is neither the rank nor the learned profession, but the activity performed by the individual. [Omitted example] You must urge people surveyed for maximum accuracy on the work done, especially among civil servants. Economic activity must be registered with the greatest possible precision. The table below gives some examples of wrong answers (to avoid) and correct answers (to remember). <div class="i1">Wrong answers: Public official, civil servant Correct answers: Typist, architect, ticket salesperson, statistician, accountant, driver, customs inspector, financial controller, Police Commissioner, PTT Agent [job in telecommunications], tax collector, switchboard, civil servant, etc. Wrong answers: Worker Correct answers: Baker, bricklayer, plumber, electrician, mechanic, radio repairman, carpenter, etc. Wrong answers: Artisan Correct answers: Basket maker, tailor, potter, weaver, blacksmith, jeweler, etc. Wrong answers: Laborer Correct answers: Messenger, sweeper, night watchman, farm laborer, etc. Wrong answers: Trader Correct answers: Seller of cigarettes, cakes, vegetables, condiments, spare parts, "aprons"[tablier], shopkeeper, etc.</div> Mali 2009: Persons age 6+ who were at work, unemployed or seasonally inactive [discrepancies: none] This variable indicates the person's principal occupation. 0101 Farmer, peasant 0102 Greengrocer 0103 Gardener, florist 0104 Tree farmer 0105 Other agricultural workers not elsewhere classified 0106 Breeder 0107 Shepherd 0108 Poultry farmer 0109 Beekeeper 0110 Other workers in livestock and related not elsewhere classified 0111 Hunter 0112 Forestry 0113 Agronomist 0114 Veterinarian or veterinary agent 0115 Seasonal agricultural worker 0201 Fisherman 0202 Fish farmer, aquaculture 0301 Sand extractor 0302 Gold prospector 0303 Well digger 0304 Geologist 0305 Other mine and quarry workers 0401 Carpenter, cabinetmaker 0402 Basketmaker, weaver (mat, fan etc) 0403 Shoemaker, leatherworker 0404 Carpenter 0405 Glazier, glass worker 0406 Brickmaker 0407 Dyer 0408 Potter 0409 Jeweler 0410 Weaver 0411 Smith 0412 Welder 0413 Sculptor 0414 Other similar craftsman not elsewhere classified (factories, manufacturing industry, etc) 0415 Baker 0416 Pastry maker 0417 Painter or decorator 0418 Printer 0419 Tailor 0420 Embroiderer 0421 Dressmaker 0422 Upholsterer 0424 Miller or mill operator 0425 Refrigerationist 0426 Worker in manufacturing activity 0501 Electrician 0502 Energy agent 0503 Water distribution 0601 Mason 0602 Worker 0604 Other construction workers 0605 Floor tiling, marble 0606 Building constructor 0607 Building contractor 0608 Tâcheron 0610 Surveyor or cartographer 0611 Plumber 0612 Building engineer 0613 Architect 0701 Director and manager of business, economic operator 0702 Trader 0703 Shopkeeper 0704 Merchandiser 0706 Seller of articles (general trade, various items) 0707 Seller of pharmacy 0708 Coffee seller 0709 Local pharmacy vendor 0710 Fish seller 0711 Vegetable seller 0712 Clothing celler 0713 Wood seller 0714 Street vendor (mobile) 0715 Food vendor 0716 Shoe vendor 0717 Livestock vender 0718 Milk vendor 0719 Charcoal vendor 0720 Fruit vendor 0721 Condiment vendor 0722 Supply vendor (stationary, books and other office supplies) 0723 Ticket seller 0724 Cereal vendor 0725 Seller of telephone cards, phone booth 0726 Soda vendor 0727 Cement vendor 0728 Vendor of cosmetic produccts 0729 Egg seller 0730 Electronics vendor 0731 Vendor of traditional medicines 0732 Bread seller 0733 Butcher 0736 Sales representative 0737 Other sales staff and sellers not elsewhere classified 0738 Hardware seller 0739 Moped and bicycle repairman 0741 Repair for radio and television receivers 0742 Gas station attendant 0744 Shoe repairman 0746 Vehicle and motorcycle seller 0748 Parts vender 0749 Pharmacist 0750 Auto mechanics and auxiliary 0751 Vulcanising (tire repair) 0752 Storekeeper 0801 Hotel owner 0802 Restaurant owner 0803 Gargotier 0805 Other service personnel occupations not elsewhere classified (hostess, steward etc) 0806 Tour guide 0901 Carrier 0902 Conveyor 0903 Light vehicle driver 0906 Driver of animal- or person-powered vehicle (donkey cart, rickshaw etc) 0907 Small boat driver (pirogue) 0908 Taximan 0910 Other drivers of vehicles not elsewhere classified 0911 Moderator or journalist 0913 Other telecommunication agents (cyber cafes, Orange, Malitel, Sotelma) 0915 Other communication agents not elsewhere classified (marketing, griots) 0916 Transportation agent (air, land and river) 0917 Laborer 0919 Forwarding agent (freight) 1001 Insurance agent 1002 Financial intermediary 1003 Bank officer 1006 Cashier 1007 Other financial system agents 1102 Computer worker, computer maintenance 1103 Realtor 1104 Seizure agent (operator) 1107 Researcher 1108 Administrator 1111 Lawyer 1112 Accountant 1113 Other executives of private companies 1114 Other middle managers of private companies 1115 Support staff (secretary, office worker) in private companies 1116 Guard/parking agent 1201 CEOs 1202 Director level (department heads) 1203 Upper level (engineer, economist, doctor, professor, inspector) 1204 Mid level (controllers, technicians) 1205 Staff support (secretary, office worker, administrative assistant) 1206 Customs agent 1207 Police officer 1208 Civil protection officer 1209 Mayor's office worker 1210 Constable 1211 Guard 1213 Soldier or military 1216 Legal officer 1220 Magistrate 1222 Other administrative service occupations not elsewhere classified 1223 Municipal elected officials 1226 Other elected officals of territorial or communities (village, district) 1229 Water and forest agents 1230 Librarian, archivist 1231 Accountant 1232 Tax agent or treasurer 1301 University professor and other higher learning institutions 1302 Secondary teacher (general, technical, professional) 1303 Teacher of fundamental second cycle 1304 Teacher of first cycle 1305 Preschool teacher 1306 Special education teacher 1307 Other teaching staff not elsewhere classified 1401 Doctor 1404 Anesthesiologist 1405 Nurse 1406 Midwife 1407 Matrone 1408 Maintenace services for health center 1410 Health worker 1415 Traditional healer 1416 Health technician 1418 Laboratory technician 1419 Other health personnel not elsewhere classified 1421 Sweeper 1501 Artist (writer, singer, designer, painter) 1502 Filmmaker 1504 Photographer 1506 Other artists not elsewhere classified 1507 Cameraman 1513 Bleacher or clothing beater 1514 Imam 1515 Muezzin 1517 Other clergy member 1518 Beggar 1519 Traditional religious teacher, wandering holy man 1520 Hair dresser, braider 1525 Other occupations in private administration, semi-autonomous, not elsewhere classified 1529 Ironing, clothes washing, auto washing 1530 Pastor and other religious service 1531 Football player and other atheletes 1536 Investigator and collection agent 1537 Union activities 1601 Domestic servant (female) 1602 Domestic servant (male) 1603 Cook 1604 Other domestic workers 1704 NGO workers 1705 Other foreigners working in international organizations 9000 Occupation response suppressed 9998 Unknown 9999 NIU (not in universe) Work: Occupation Variables -- PERSON Situation in principal occupation Population age six or older [Questions P24-P28 were asked for persons age 6+.] P26) Position in main occupation What is (or what was) the position that [Name] had in this occupation? <div class="i1">Record the code corresponding to the response [] 00 Person not applicable [] 01 Independent worker [] 02 Employer/Boss [] 03 Salaried/Permanent employee [] 04 Salaried/Temporary employee [] 05 Apprentice [] 06 Family helper [] 07 Others Agricultural sector [] 08 Independent [] 09 Primary associated [partnered] household [] 10 Secondary associated [partnered] household</div> Questions (P24 to P28) are for members of the household who are six (6) years or older. This part of the questionnaire allows for the collection of information on employment, the type of employment, the branch of the industry. Particular emphasis is placed on farming due to its importance in the occupations of the population. 6.2.3.25 Main occupation (Column P26) The agent collects information about the status of a person in relation to his/her main current or previous occupation if it is a person who has already worked and is now unemployed. The agent asks the following question: "What is the status of [NAME] in the exercise of his main economic activity?" and writes the corresponding code. The possible situations are as follows: <div class="i1">00 = Not applicable: Persons under the age of 6 , the elderly who no longer work , people looking for a first job. 01 = Freelancer: This is a person who is self-employed, but has no employees . However, he may have help from family or unpaid apprentices. 02 = Employer / Boss: This is a person who runs his own economic enterprise or practices his own trade. An employer employs one or more paid employees. 03 = Paid employee / Permanent Employee: Employed permanently, working for a public or private employer in exchange for monetary compensation or compensation in kind. 04 = Paid employee / Temporary Employee: A person employed temporarily working for a public or private employer in exchange for monetary compensation or compensation in kind. Compensation may be paid by the hour, day, week or month. 05 = Apprentice: Someone who learns a manual craft through an apprenticeship in the workshop or in the field with a master. He/she receives no compensation in cash or in kind in return for work done. 06 = Family Help: Person who works in a family business without being paid . These people are generally encountered in agriculture, commerce and transportation. They are usually fed, housed and cared for when they are sick . They receive occasional gifts. 07 = Other (specify): People whose occupation situation cannot be classified in any of the categories mentioned. Agricultural sector</div>[pg. 31]<div class="i2">08 = Independent: Person who is self-employed in agriculture, but has no employees. However, he may have help from family or unpaid apprentices. 09 = Household with primary responsibility: Household (primary responsibility) with one or more partners (secondary household) working in agricultural. 10 = Household with secondary responsibility: Household (secondary responsibility) associated with another household working in agricultural. This household is not primarily responsible.</div>Instruction: A person who employs one or more servants is not considered an employer, even if he/she pays. Mali 2009: Persons age 6+ who were at work, unemployed or seasonally inactive [discrepancies: type I 5.9%; type II none] This variable indicates the person's situation in their principal occupation. 01 Independent worker 02 Employer or boss 03 Salaried or permanent employee 04 Salaried or temporary employee 05 Apprentice 06 Family helper 07 Other 08 Independent (agricultural sector) 09 Primary associated household (agricultural sector) 10 Secondary associated household (agricultural sector) 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Industry Population age six or older [Questions P24-P28 were asked for persons age 6+.] P27) Branch of economic activity What does the business or establishment that [Name] works or worked for mainly do? <div class="i1">____</div> Questions (P24 to P28) are for members of the household who are six (6) years or older. This part of the questionnaire allows for the collection of information on employment, the type of employment, the branch of the industry. Particular emphasis is placed on farming due to its importance in the occupations of the population. 6.2.3.26 Branch of economic activity (Column P27) The purpose of this question is to understand the nature of the activity of the establishment or the business where the enumerated person works. This is the main activity (industry) of the employer or the company to which the respondent belongs. Always specify the name of the company if possible. Do not confuse the industry with the type of work performed by the individual. [Omitted example] Instruction: The industry of a servant is "Service to individuals." This question is also for the unemployed. In this case we determine the industry from his lat main occupation. This question does not apply to people seeking their first job and the elderly who do not work. Do not fill in the shaded boxes (reserved for codification) Mali 2009: Persons age 6+ who were at work, unemployed or seasonally inactive [discrepancies: none] This variable indicates the industry in which the person works. 00 NIU (not in universe) 01 Agriculture, livestock raising, hunting and forestry 02 Fishing, fish farming, aquaculture 03 Extractive industries 04 Manufacturing 05 Production and distribution of electricity, gas, water 06 Construction 07 Commerce, motor vehicle repair and household goods 08 Hotels and restaurants 09 Transportation, auxiliary transport activiites and communications 10 Financial activities 11 Real estate, rending and business services 12 Public administration 13 Education 14 Health and social work 15 Collective or personal activities 16 Private household services 17 Activities of offshore organizations 99 Unknown Work: Industry Variables -- PERSON Agricultural activities Population age six or older [Questions P24-P28 were asked for persons age 6+.] P28) Agriculture For workers in the agricultural sector: What is the main type of agricultural work that [Name] does? <div class="i1">[] 00 Person not applicable [] 01 Growing of dry grains [] 02 Rice farming [] 03 Industrial farming [] 04 Vegetable farming [] 05 Fruit tree farming [] 06 Livestock farming [] 07 Fishing [] 08 Silviculture/forestry [] 09 Harvesting [] 10 Hunting [] 11 Other agricultural activities</div> Questions (P24 to P28) are for members of the household who are six (6) years or older. This part of the questionnaire allows for the collection of information on employment, the type of employment, the branch of the industry. Particular emphasis is placed on farming due to its importance in the occupations of the population. 6.2.3.27 Agricultural activity (Column P28) This issue is completed only for workers in the agricultural sector (agriculture, livestock, fishing, forestry, hunting, gathering). The agent asks the following question: "What is the main type of farming practiced by [NAME]?" The agent writes the code corresponds to the response. <div class="i1">00 = Person not relevant 01 = dry grain crops (millet, sorghum, corn, fonio, beans) 02 = rice 03 = Industrial farming (cotton, sugar cane, tobacco, wheat) 04 = Vegetables farming (tomatoes, leeks, onions, carrots, lettuce, potatoes ...) 05 = fruit tree farming (watermelon, oranges, grapefruit, mangos) 06 = Livestock farming 07 = Fishing 08 = Forestry</div>[pg. 32] <div class="i1">09 = Gathering 10 = Hunting 11 = Other farming</div> Mali 2009: Persons age 6+ who were at work, unemployed or seasonally inactive in agricultural industries [discrepancies: type I none; type II 0.1%] This variable indicates the person's participation in agricultural activities. 01 Farming of dry grains 02 Rice farming 03 Industrial farming 04 Vegetable farming 05 Fruit tree farming 06 Livestock farming 07 Fishing 08 Forestry 09 Harvesting 10 Hunting 11 Other agricultural activities 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Marital status Population age twelve or older [Questions P29-P30 were asked for persons age 12+.] P29) Martial status<div class="i1">Determine the marital status of the surveyed individual and record the code corresponding to the response [] 0 Person not applicable [] 1 Single [] 2 Married monogamous [] 3 Married polygamous [] 4 Widowed [] 5 Divorced/separated [] 6 De facto union/Civil partnership</div> Questions P29 to P33 are for people aged 12 years or older. Questions P31 to P33 are only for women aged 12 to 49 years. 6.2.3.28 Marital status (Column P29) The agent asks the following question: "What is (name)?s marital status?." Before asking, the agent already has an idea of marital status from the asked in questions in P2 (order) and P4 (relationship). Marital status is marriage vis- -vis the laws and customs of the country. The agent records the code corresponding to the reported marital status. <div class="i1">0 = Person not applicable 1 = Single 2 = Married, monogamous 3 = Married, polygamous 4 = Widow / widower 5 = Divorced / Separated (e) 6 = partnership / Cohabitation</div>Because marital status is marriage under the laws of his/her country, you may find specific situations for foreigners. The agent must enter the code closest to the reported status. Mali 2009: Persons age 12+ [discrepancies: none] This variable indicates the person's marital status. 1 Single 2 Married, monogamous union 3 Married, polygamous union 4 Widow(er) 5 Divorced or separated 6 De facto union or civil partnership 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Literacy Population age twelve or older [Questions P29-P30 were asked for persons age 12+.] P30) Literacy Does (name know how to read and write? <div class="i1">Record the code corresponding to the response [] 0 Person not applicable [] 1 Can read and write French only [] 2 Can read and write a national language only [] 3 Can read and write only other language [] 4 Can read and write French and a national language [] 5 Cannot read or write</div> Questions P29 to P33 are for people aged 12 years or older. Questions P31 to P33 are only for women aged 12 to 49 years. 6.2.3.29 Literacy (Column P30) The data collected through this question will allow us to distinguish the illiterate from the literate in the population. A literate person is able to read and write in any language. He is able to understand written text related to his everyday life. In contrast, an illiterate is a person who cannot read or write. Instruction: A person who only speaks one language (e.g. French) without knowing how to read and write is illiterate. Similarly, a person who can only read and write his name and numbers or who can read and write a very basic expression is illiterate. The question that must be asked to address the ability to read and write for household members aged 12 years or more is: "Can [NAME] read and write in French, Arabic, the national language or any other written language?" <div class="i1">0 = Person not relevant 1 = Can read and write French only</div>[pg. 33]<div class="i1">2 = Can read and write a national language only 3 = Can read and write another language only 4 = Can read and write French and the national language 5 = Cannot read or write</div>a. If the answer to the question is "Yes," enter the code corresponding to the answer in accordance with the terms listed at the bottom of the questionnaire. b. If the answer to the question is "No" Enter Code "5" for "a person who can neither read nor write." Instruction: Enter "0" for all persons under the age of 12, i.e. people not relevant for this question. Mali 2009: Persons age 12+ [discrepancies: none] This variable indicates the person's literacy status. 0 NIU (not in universe) 1 Can read and write French only 2 Can read and write in a national language only 3 Can read and write in another language only 4 Can read and write in French and a national language 5 Can't read or write 9 Unknown Education Variables -- PERSON Male live births Women age 12-49 years [Questions P31-P33 were asked for women age 12-49.] P31) Total live births This question should be asked only to women age 12-49: How many live births has [Name] had? <div class="i1">M _ _ F _ _</div> Questions P29 to P33 are for people aged 12 years or older. Questions P31 to P33 are only for women aged 12 to 49 years. 6.2.3.30 Total live births (Column P31) This question is for women aged 12 to 49 years. The purpose of this question is to collect information on children born alive. A live-born child is a child who, at birth, has shown signs of life (crying, breathing, heartbeat, etc.) even if it he/she subsequently died. The agent asks the following question: "How many total live births did [NAME] have?" The agent records for every woman the number of live births since her first delivery up to the census date (including un-surveyed children in the household and those who died). These are the biological children of women and not adopted children. Abortions, miscarriages and stillbirths are not taken into account. Enter the number of live births in the boxes for each sex: "M" for male or "F" for female. Enter "00" if there are none. [Omitted example] Instruction: For people who are not relevant to this question (women under 12 and women over 49 years) put a hyphen in reserved space. This instruction is for columns P32 and P33. Mali 2009: Women age 12-49 [discrepancies: type I none; type II 13.0%] This variable indicates the person's number of live male births. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female live births Women age 12-49 years [Questions P31-P33 were asked for women age 12-49.] P31) Total live births This question should be asked only to women age 12-49: How many live births has [Name] had? <div class="i1">M _ _ F _ _</div> Questions P29 to P33 are for people aged 12 years or older. Questions P31 to P33 are only for women aged 12 to 49 years. 6.2.3.30 Total live births (Column P31) This question is for women aged 12 to 49 years. The purpose of this question is to collect information on children born alive. A live-born child is a child who, at birth, has shown signs of life (crying, breathing, heartbeat, etc.) even if it he/she subsequently died. The agent asks the following question: "How many total live births did [NAME] have?" The agent records for every woman the number of live births since her first delivery up to the census date (including un-surveyed children in the household and those who died). These are the biological children of women and not adopted children. Abortions, miscarriages and stillbirths are not taken into account. Enter the number of live births in the boxes for each sex: "M" for male or "F" for female. Enter "00" if there are none. [Omitted example] Instruction: For people who are not relevant to this question (women under 12 and women over 49 years) put a hyphen in reserved space. This instruction is for columns P32 and P33. Mali 2009: Women age 12-49 [discrepancies: type I none; type II 13.1%] This variable indicates the person's number of female live births. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Surviving male children Women age 12-49 years [Questions P31-P33 were asked for women age 12-49.] P32) Surviving children This question should be asked only to women age 12-49. Among the live births mentioned in P31 how many are still alive? <div class="i1">M _ _ F _ _</div> Questions P29 to P33 are for people aged 12 years or older. Questions P31 to P33 are only for women aged 12 to 49 years. 6.2.3.31 Surviving children (Column P32) The purpose of this question is to obtain information on the number of children still alive at the time of interview among those who were born alive. The agent asks the following question: "Among the live births reported previously, how many are still alive?." The agent records the number of surviving children in the corresponding boxes for each sex: "M" for male and "F" for female. There can be no more survivors than live-born children. Mali 2009: Women age 12-49 with live births [discrepancies: type I none; type II 3.1%] This variable indicates the person's number of surviving male children. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Surviving female children Women age 12-49 years [Questions P31-P33 were asked for women age 12-49.] P32) Surviving children This question should be asked only to women age 12-49. Among the live births mentioned in P31 how many are still alive? <div class="i1">M _ _ F _ _</div> Questions P29 to P33 are for people aged 12 years or older. Questions P31 to P33 are only for women aged 12 to 49 years. 6.2.3.31 Surviving children (Column P32) The purpose of this question is to obtain information on the number of children still alive at the time of interview among those who were born alive. The agent asks the following question: "Among the live births reported previously, how many are still alive?." The agent records the number of surviving children in the corresponding boxes for each sex: "M" for male and "F" for female. There can be no more survivors than live-born children. Mali 2009: Women age 12-49 with live births [discrepancies: type I none; type II 3.3%] This variable indicates the person's number of surviving female children. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female births in last 12 months Women age 12-49 years [Questions P31-P33 were asked for women age 12-49.] P33) Births in the last 12 months How many of [Name]?s children were born alive in the last 12 months? <div class="i1">M _ _ F _ _</div> Questions P29 to P33 are for people aged 12 years or older. Questions P31 to P33 are only for women aged 12 to 49 years. 6.2.3.32 Live birth from the last twelve (12) months (Column P33) The agent asks the following question: "How many of [Name]?s children were born alive in the last twelve months?" If the answer is "Yes," have sex. The agent fills in the corresponding box. If the answer is "No," the agent enters "0" in the boxes "M" and "F." A woman can give birth to twins of different sex. In this case, the agent records "1" in the box corresponding to "M" and "1" in the box corresponding to "F." Mali 2009: Women age 12-49 [discrepancies: type I none; type II 2.1%] This variable indicates the number of male children the person has given birth to in the last 12 months. 0 0 1 1 2 2 3 3 4 4 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male births in last 12 months Women age 12-49 years [Questions P31-P33 were asked for women age 12-49.] P33) Births in the last 12 months How many of [Name]?s children were born alive in the last 12 months? <div class="i1">M _ _ F _ _</div> Questions P29 to P33 are for people aged 12 years or older. Questions P31 to P33 are only for women aged 12 to 49 years. 6.2.3.32 Live birth from the last twelve (12) months (Column P33) The agent asks the following question: "How many of [Name]?s children were born alive in the last twelve months?" If the answer is "Yes," have sex. The agent fills in the corresponding box. If the answer is "No," the agent enters "0" in the boxes "M" and "F." A woman can give birth to twins of different sex. In this case, the agent records "1" in the box corresponding to "M" and "1" in the box corresponding to "F." Mali 2009: Women age 12-49 [discrepancies: type I none; type II 2.0%] This variable indicates the number of female children the person has given birth to in the last 12 months. 0 0 1 1 2 2 3 3 4 4 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON