General Census of Population and Housing 1987 DDI_MLI_1987_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

IPUMS April 1, 2025 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 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. General Census of Population and Housing 1987 - IPUMS Subset PHC ml1987a (IPUMS Harmonized Subset) MLI_1987_PHC_v01_M_v7.6_A_IPUMS Central Bureau of the Census IPUMS (c) Copyright 1987, 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.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Other Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality 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 Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Migration: Global Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Other Person Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Disability Variables -- PERSON Fertility and Mortality Variables -- PERSON Education Variables -- PERSON Ethnicity and Language Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON April 14, 1987 Mali District Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - 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 a group of individuals, related or not, who are living together under the same roof and under the responsibility of a head of household whose authority is recognized by all members of the household. - Group quarters: An institutional household is a group of persons living together for reasons of study, health, work, travel, incarceration 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 1987 MICRODATA SOURCE: Central Bureau of the Census SAMPLE SIZE (person records): 785384. SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the IPUMS Face-to-face [f2f] A single form with sections on dwellings, individuals, and birth and death events. both, CENSUS DAY: April 14, 1987 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, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Mali, Central Bureau of the Census. General Census of Population and Housing 1987 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.V7.6 Extract for ml1987a, 2025 MLI1987_PHC-H-H.dat Household records 136,515 ascii Minnesota Population Center Version 7.5, IPUMS sample MLI1987_PHC-P-H.dat Person records 785384 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 Côte d'Ivoire 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 340201301 Honduras 2013 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 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 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 404201901 Kenya 2019 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 454201801 Malawi 2018 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 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 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 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD 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 numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. 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 numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. 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 numeric variable listing the area in square kilometers. Codes0 = Unknown. 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 numeric variable listing the area in square kilometers. Codes0 = Unknown. 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 1987 [Level 1, GIS] GEO1_ ML1987 identifies the household's region within Mali in 1987. Regions are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ ML1987 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 Bamako 009 Unknown Geography: F-N Variables -- HOUSEHOLD Mali, Circle 1987 - 2009 [Level 2; consistent boundaries, GIS] GEO2_ML identifies the householdâs 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 1987 [Level 2, GIS] GEO2_ ML1987 identifies the household's circle within Mali in 1987. Circles are the second level administrative units of the country, after regions. A GIS map (in shapefile format), corresponding to GEO2_ ML1987 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 Baraouéli 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 Youvarou 006001 Tombouctou 006002 Diré 006003 Goundam 006004 Gourma Rharous 006005 Niafunké 007001 Gao 007002 Ansongo 007003 Bourem 007004 Kidal 007005 Ménaka 008001 Bamako 009999 Unknown Geography: F-N Variables -- HOUSEHOLD Mali, District 1987 [Level 2, GIS] GEO3_ML1987 identifies the household's district within Mali in 1987. Districts are the third level administrative units of the country, after regions and cercles. A GIS map (in shapefile format), corresponding to GEO3_ML1987 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 Segala 001001003 Ambidedi 001001004 Kayes Central 001001005 Aourou 001001006 Sadiola 001001007 Samé 001001008 Diadioumera 001001009 Diamou 001001010 Lontou 001001011 Koussané 001002001 Oussoubidiagna 001002002 Mahina 001002003 Diakon 001002004 Bamafélé 001002005 Bafoulabé Central 001002006 Oualia 001002007 Goundara 001002008 Koundian 001002009 Diallan 001003001 Bema 001003002 Diangounte Camara 001003003 Diéma Central 001003004 Lakamané 001003005 Dioumara 001004001 Kéniéba Central 001004002 Dombia 001004003 Faraba 001004004 Kassama 001004005 Dialafara 001004006 Falea 001005001 Kita Central 001005002 Séféto 001005003 Sebekoro 001005004 Djidian 001005005 Kita 001005006 Sagabari 001005007 Kokofata 001005008 Sirakoro 001005009 Toukoto 001006001 Troungoumbe, Gogui 001006002 Nioro central 001006003 Gavinané 001006004 Nioro 001006005 Sandaré 001006006 Simbi 001006007 Korera kore 001007001 Yélimané Central, Maréna 001007002 Kirane 001007003 Tambacara 002001001 Niamina, Tougouni 002001002 Koula 002001003 Sirakorola 002001004 Koulikoro 002001005 Tienfala, Koulikoro Central 002001006 Kénékou 002002001 Banamba Central 002002002 Boron 002002003 Toubacoura 002002004 Sébété, Toukoroba 002002005 Madina-Sako 002003001 Fana 002003002 Dioïla Central 002003003 Massigui 002003004 Beleko 002003005 Banco 002003006 Ména 002004001 Kangaba Central 002004002 Narena 002005001 Kati Central 002005002 Kalabancoro 002005003 Siby 002005004 Neguela 002005005 Baguineda 002005006 Sanakoroba 002005007 Ouelessebougou 002005008 Kati 002005009 Kourouba 002006001 Kolokani Central 002006002 Nonssombougou 002006003 Djidieni 002006004 Massantola 002007001 Nara Central 002007002 Ballé 002007003 Dilly 002007004 Mourdiah, Guiré 002007005 Fallou 003001001 Sikasso 003001002 Sikasso Central 003001003 Kignan 003001004 Niéna 003001005 Blendio 003001006 Klela 003001007 Lobougoula 003001008 Danderesso 003001009 N'kourala 003001010 Dogoni 003001011 Finkolo 003002001 Garalo 003002002 Bougouni Central 003002003 Dogo-bougouni 003002004 Keleya 003002005 Koumantou 003002006 Sanso 003002007 Bougouni 003002008 Zantiebougou 003002009 Manankoro 003002010 Faragouaran 003003001 Kadiolo Central 003003002 Loulouni 003003003 Fourou 003003004 Misseni 003004001 Kolondiéba Central 003004002 Kadiana 003004003 Kebila 003004004 Fakola 003004005 Tonssékéla 003005001 M'pessoba 003005002 Koutiala Central 003005003 Koutiala 003005004 Kouniana 003005005 Molobala 003005006 Konsseguela 003005007 Zangasso 003006001 Doussoudiana, Yanfolila Central 003006002 Kangaré 003006003 Filamana, Yorobougoula 003006004 Siékorolé 003006005 Gueleninkoro 003006006 Kalana 003007001 Kouri, Mahou 003007002 Yorosso Central 003007003 Boura 004001001 Ségou 004001002 Dioro 004001003 Markala 004001004 Ségou Central 004001005 Farako 004001006 Katiena 004001007 Sansanding 004001008 Cinzana 004001009 Doura 004002001 Barouéli Central 004002002 Sanando 004002003 Tamani 004002004 Konobougou 004003001 Bla Central 004003002 Yangasso 004003003 Touna 004003004 Falo 004003005 Diaramana 004004001 Kologotomo 004004002 Sarro 004004003 Saye 004004004 Macina Central 004004005 Monipe 004005001 Niono Central, Pogo 004005002 Sokolo, Nampala 004006001 San Central 004006002 San 004006003 Diéli 004006004 Sourountouna 004006005 Tene 004006006 Kimparana 004006007 Kassorola 004006008 Sourountouna 004007001 Mandiakuy 004007002 Tominian Central 004007003 Fangasso 004007004 Koula 004007005 Timissa 004007006 Mafoune 005001001 Mopti 005001002 Konna, Sendegue 005001003 Ouromodi, Soye 005001004 Mopti Central 005001005 Dialloubé 005001006 Fatoma 005001007 Korientzé 005001008 Soufouroulaye 005002001 Badiagara Central 005002002 Ningari 005002003 Ouo 005002004 Kendie 005002005 Sangha 005002006 Dourou 005002007 Kani-gogouna 005002008 Goundaka 005003001 Dialassagou 005003002 Sokoura 005003003 Bankass Central 005003004 Baye 005003005 Kani-bonzon 005003006 Ségué 005003007 Ouenkoro 005004001 Djenné Central 005004002 Sofara 005004003 Mougnan 005004004 Kouakourou 005004005 Konio 005004006 Taga 005005001 Douentza Central 005005002 N'gouma 005005003 Mondoro 005005004 Hombori 005005005 Boré 005005006 Boni 005006001 Koro Central 005006002 Koporo-Kénièna 005006003 Madougou 005006004 Diankabou 005006005 Dinangourou 005006006 Toroli 005006007 Dioungani 005007001 Ténenkou Central 005007002 Toguerécoumbé 005007003 Diondiori 005007004 Dioura 005007005 Diafarabe 005007006 Sossobé 005008001 Youwarou Central 005008002 Guidio 005008003 Gathi-Loumo, Dogo 005008004 Sah 005008005 Ambiri 006001001 Tombouctou Commune 006001002 Tombouctou Central, Tinaguelhoy, Ber 006001003 Aglal, Bourem Inaly 006002001 Diré Central 006002002 Sareymou 006002003 Danga 006002004 Haïbongo 006003001 Tonka 006003002 Goundam Central 006003003 Bintagoungou 006003004 Raz-el-ma, Gargando, Tilemsi 006003005 Douekise 006003006 Farach 006004001 Harobomo, Ouinarden, Inadiatafane 006004002 Gossi 006004003 Gourma-Rharous Central 006004004 Madiakoye 006004005 Bambara maoude 006005001 Niafunké Central 006005002 Léré, Soumpi 006005003 Sarafere 006005004 Koumaira, N'gorkou 006005005 Banikané 007001001 Gao 007001002 Gao Central 007001003 Haoussa Foulane, In-tillit 007001004 Djébock 007002001 Ansongo Central 007002002 Tessit, Ouatagouna 007002003 Talataye 007003001 Bourem Central 007003002 Almoustarat, Temera 007003003 Bamba 007004001 Kidal Central, Aguel Hoc 007004002 Tessalit, Tin Essako, Tinkar, Tin Zaouotene, Bouressa 007005001 Ménaka Central 007005002 Inekar, Tidarmene 007005003 Anderaboukane 008001001 Bamako Commune IV 008001002 Bamako Commune I 008001003 Bamako Commune II 008001004 Bamako Commune V 008001005 Bamako Commune III 008001006 Bamako Commune VI 009999999 Unknown 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 Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 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 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 1987: All households This variable identifies the dwelling number of each household. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Mali 1987: All households This variable identifies the number of persons in each 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 68 68 69 69 70 70 71 71 73 73 74 74 76 76 78 78 80 80 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Mali 1987: All households This variable identifies each dwelling created by splitting apart a larger 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 Donated dwelling Mali 1987: All households This variable identifies each donated dwelling for all households. 0 No problem 1 Donated Technical Household Variables -- HOUSEHOLD Donation strata: strata number Mali 1987: All households This variable identifies the donation strata: strata number for each 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 Technical Household Variables -- HOUSEHOLD Type of household <svar v="ML87A043" a="all"><span class="em">Type of household</span><br /><div class="i1">[] Sedentary household<br />[] Nomadic household</div><br /></svar> Mali 1987: All households This variable identifies the type of household for each household. 1 Sedentary household 2 Nomadic household 9 Unknown Technical Household Variables -- HOUSEHOLD Type of housing <svar v="ML87A045" a="all">Type of housing<br /><div class="i1">[] Fixed (sedentary)<br />[] Mobile (nomadic)</div><br /></svar> <svar v="ML87A045" a="all">D. Dwelling<br /><br />This is the basic unit used by the housing census. [A] dwelling is a housing unit (a collection of buildings) intended for a [purpose]. The following types of dwellings are distinguished:<br /><br />1. A fixed dwelling: this is a room or collection of rooms located in a permanent building, i.e. one that remains in place for a long period of time (from five years to more than 10 years, for example). The category includes: permanent/"hard" houses with a roof in cement or concrete<br /><br />[Bottom of the page is cut off]<br /><span class="pg">[page 9]</span><br /><br />(detached house/villa, buildings, other edifices of this type, etc...). Permanent houses with walls of cement or concrete and a roof made of sheet metal; semi-permanent houses (walls made of [adobe] covered in cement; adobe or straw houses; round huts.<br /><br />2. A mobile housing: this is a facility used for housing and built in such a way as to be movable, or which constitutes a mobile unit. It is used as housing at the time of the census. This category includes: nomad tents, train cars, all types of boats (ships, small boats, pirogues, barges, tow boats, etc.). This housing is not taken into account unless it is occupied at the time of the census.<br /></svar></p> <p><svar v="ML87A045" a="all">Type of Dwelling:<br /><div class="i1">[] Fixed<br />[] Mobile</div><br /><br />This information is used to designate the type of dwelling occupied by the household. Here it is a question of finding out if the habitation in question is a FIXED dwelling or a MOBILE dwelling. Refer to the definitions on types of lodgings to [correctly] check off one of the boxes.<br /><br />NB: This question does not pertain to institutional households. However, ordinary households living in houses located on the same grounds as an institutional household should be identified and enumerated on ordinary Housing Forms.<br /></svar> Mali 1987: All households This variable identifies the type of housing for each household. 1 Fixed housing 2 Mobile housing 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Type of building <svar v="ML87A046" a="all">1. Type of building<br /><div class="i1">[] Compound [<span class="lang">concession</span>]<br />[] Isolated building (house)<br />[] Apartment building<br />[] Other type</div><br /></svar> <svar v="ML87A046" a="all">1. Type of Building<br /><br />This is the structure that shelters the household's dwelling. The type can be deduced from your observations on visiting the household. This structure is generally a compound [<span class="lang">concession</span>], but it may also be an apartment building, a villa/detached house or another type. Check off the corresponding box.<br /><br />For example:<br />Type of building = compound [_] isolated building [_] apartment building [_] other [_]<br /></svar> Mali 1987: All households This variable identifies the type of building for each household. 1 Compound [concession] 2 Isolated building (house) 3 Apartment building 4 Other type 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms occupied <svar v="ML87A047" a="all">2. Number of rooms occupied<br /><div class="i1">_ _</div><br /></svar> <svar v="ML87A047" a="all">2. Number of Occupied Rooms<br /><br />This is the total number of rooms occupied by the household. A room is defined as a living space surrounded by wall extending from the floor to the ceiling or roof, large enough to contain an adult-size bed, and intended to be lived in. The following are thus counted as rooms: bedrooms, dining and living rooms, maids rooms, room used for business purposes and any other space used for living and corresponding to the definition of a room.<br /><br />However, verandas/balconies, hallways, entryways, kitchens, toilets,<br /><br /><span class="pg">[Page 44]</span><br />granaries and other outbuildings are excluded. However, if the kitchens and the entryways are regularly used as living space they should be counted.<br /><br />Following the above information count the total number of rooms occupied by the household (1, 2, 3, 4, etc.) and write it in the facing box.<br /><br />Example 1: The household's dwelling occupies a total of 8 rooms (plus 2 granaries and a kitchen that are not included in calculating the total number of rooms). Fill out question 2 as follows:<br />Question 2 - Number of rooms occupied: 8<br /><br />Example 2: The watchmen of an institutional household (a high school) lives in a 4-room house (not including the toilet and a small store) located on the grounds of the establishment. Question 2 is filled out as follows:<br />Question 2 - Number of rooms occupied: 4<br /><br />NB: In nomad areas consider each tent as a dwelling, and give information about the number of rooms occupied.<br /></svar> Mali 1987: All households This variable identifies the number of rooms occupied for each 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 48 48 49 49 50 50 51 51 52 52 53 53 57 57 59 59 60 60 63 63 64 64 65 65 66 66 69 69 70 70 72 72 73 73 74 74 80 80 81 81 88 88 89 89 90 90 91 91 92 92 93 93 94 94+ 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Type of occupancy <svar v="ML87A048" a="all">3. Type of occupancy<br /><div class="i1">[] Landlord<br />[] Rental<br />[] Other type</div><br /></svar> <svar v="ML87A048" a="all">3. Type of occupancy<br /><br />Here you must figure out in what capacity the household occupies the dwelling. The choices possible are owner, renter, or dwelling occupied in another capacity. The definitions are as follows:<br /><div class="i1">a. Owner: This is the person to whom the dwelling in question belongs. He is the legal owner of the building and can, as a result, rent or even sell all or part of the dwelling.<br /><br />NB: Any person who answers questions for the absent or unavailable head of household, and who normally belongs to the household, can be indicated as owner in place of the head of household when the household is owner of the premises.<br /><br />b. Renter: This is anyone who occupies a dwelling in exchange for periodic payment (by week, by month, etc.) which is the rent.<br /><br />c. Other: This category includes: those who are lodged for free, households that occupy the dwelling of an absent owner without paying any rent and without the authorization of the owner; and other cases not included in the above categories.</div><br /><br />Refer to the above definitions and ask the head of household this question: "In what capacity do you occupy the dwelling?" and then check off the box corresponding to the typical case.<br /><br />Example 1: A household rents a 3-room dwelling in a compound. Question 3 is then filled out as follows:<br /><br /><span class="pg">[Page 45]</span><br /><br />Question 3 - Method of Occupation:<br /><div class="i1">[] Owner<br />[x] Renter<br />[] Other</div><br /></svar> Mali 1987: All households This variable identifies the type of occupancy of each household. 1 Landlord, owner 2 Tenant 3 Other 9 Unknown Household Economic Variables -- HOUSEHOLD Wall material <svar v="ML87A049" a="all">4. Wall materials<br /><div class="i1">[] Hard material<br />[] Semi-hard<br />[] Adobe<br />[] Wood or straw<br />[] Other material</div><br /></svar> <svar v="ML87A049" a="all">4. Material of the Walls<br /><br />Here you describe the materials used for the exterior walls of the dwelling. [If] the dwelling itself is composed of one or several buildings, you will need to decide which building to describe. There are two possibilities:<br /><div class="i1">a. The household's dwelling is a single building, in which case this is the building to describe.<br /><br />b. The household's dwelling is composed of several independent buildings. In this case choose the building which you judge to be the principal building, basing your decision on, for example, the criterion of durability. However, the building must be used for housing to be thus chosen. Once you have chosen the building, try to determine the materials which make up the exterior walls, or ask the head of household. The options are: hard, semi-hard, adobe ; wood or straw; other. The definitions are as follows:</div><br /><div class="i2">- Hard: The walls are considered hard when they are made of brick or stone or cement, or if they are made of concrete (a mix or cement and gravel or stone) whether or not they are covered with cement.<br />- Semi-hard: The walls are considered semi-hard when they are made of adobe bricks which have been well-covered with cement.<br />- Adobe: The walls are considered to be of adobe when they are made of adobe bricks, whether or not they are covered/plastered with adobe.<br />- Wood or straw: These walls are made of straw, wood, bamboo, leaves, palm leaves, braided plants, etc..., covered or not by adobe or cement.<br />- Other Walls which do not have the above characteristics fall into this category.</div><br /><br />Refer to the above definitions to ask the head of household the following question: "What are your walls made of?" Check off the corresponding box:<br /><br />Example 1: The head of household says the walls in question are made of a mixture of cement and gravel. The walls are covered in cement and whitewashed.<br /><br />Question 4 is then filled out as follows:<br /><br />Question 4 - Wall material<br /><div class="i1">[x] Hard<br />[] Semi-hard<br />[] Adobe<br />[] Wood or Straw<br />[] Other</div><br /><br /><span class="pg">[Page 46]</span><br />Example 2: The building to be documented is a tent:<br />Question 4 - Wall material<br /><div class="i1">[] Hard<br />[] Semi-hard<br />[] Adobe<br />[] Wood or Straw<br />[x] Other</div><br />Example 3: The building in question has adobe brick walls covered in adobe.<br />Question 4 - Wall material<br /><div class="i1">[] Hard<br />[] Semi-hard<br />[x] Adobe<br />[] Wood or Straw<br />[] Other</div><br /><br />NB: The question on wall materials also pertains to institutional households. However, the dwellings of ordinary households situated on the same grounds as institutions should be documented separately on an ordinary Housing Form.<br /></svar> Mali 1987: All households This variable identifies the wall material of each household. 1 Hard 2 Semi-hard 3 Adobe 4 Wood, straw 5 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Roof material <svar v="ML87A050" a="all">5. Roof material<br /><div class="i1">[] Corrugated iron or tiles<br />[] Concrete<br />[] Adobe<br />[] Straw<br />[] Other type</div><br /></svar> <svar v="ML87A050" a="all">5. Roof Material<br /><br />Here also you describe the roof of the building being documented. The possible choices are: Sheet metal or tile, concrete, adobe, thatch, other. The terms concrete and adobe are defined above. As for sheet metal or tile, only put housing of acceptable quality in this category. Makeshift housing made partially or completely of sheet metal should be put in the "other" category.<br /><div class="i1">- Thatch: A thatched roof is made of straw, bamboo, palm leaves or leaves of other plant material. It is generally used to cover most of the traditional round huts.<br />- Other: A roof in this category has none of the characteristics of sheet metal or tile, concrete, adobe or thatch.</div><br /><br />Example 1: The building being described is a multi-storey building with a concrete roof. You write:<br />Question 5 - Roof Material:<br /><div class="i1">[] Sheet metal or Tile<br />[x] Concrete<br />[] Adobe<br />[] Thatch<br />[] Other</div><br /><br />Example 2: The building is made of adobe and the roof is made of wood covered with adobe.<br />Question 5 - Roof Material:<br /><div class="i1">[] Sheet metal or Tile<br />[] Concrete<br />[] Adobe<br />[] Thatch<br />[x] Other</div><br /><br />The question also pertains to institutional households.<br /></svar> Mali 1987: All households This variable identifies the roof material of each household. 1 Iron sheet, tiles 2 Concrete 3 Adobe 4 Thatch 5 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material <svar v="ML87A051" a="all">6. Floor material<br /><div class="i1">[] Cement, tiles<br />[] Earth<br />[] Other type</div><br /></svar> <svar v="ML87A051" a="all">6. Floor Material<br />In this section describe the floor of the building being documented. The options are: cement or tiles, beaten earth or other. Consider as cement or tile the "hard" floors (cement, concrete, tiles, stone, etc.)<br /><br /><span class="pg">[Page 47]</span><br />Always observe the floor of the building yourself or else ask the head of household this questions: "What is the material of the floor?" and check off the corresponding box.<br /><br />Example 1: The building you are describing is a round hut with a floor which is nonetheless made of cement. You should record this as:<br />Question 6 - Floor material:<br /><div class="i1">[x] Cement or tile<br />[] Beaten Earth<br />[] Other</div><br /><br />Example 2: The 'building' is a tent, boat, pirogue, etc.<br />Question 6 - Floor material:<br /><div class="i1">[] Cement or tile<br />[] Beaten Earth<br />[x] Other</div><br /><br />This question also applies to institutional households. Ordinary households housed on the same grounds as an institutional household are considered separately.<br /></svar> Mali 1987: All households This variable identifies the floor material of each household. 1 Cement, tiles 2 Earth 3 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Source of water <svar v="ML87A052" a="all">7. Source of water<br /><div class="i1">[] Tap<br />[] Deep well / shallow well<br />[] River, stream, spring<br />[] Public tap / public well<br />[] Other type</div><br /></svar> <svar v="ML87A052" a="all">7. Water Supply<br /><br />This question should be reported for each household. The most important thing is to determine the household's water supply. This may be through the public water supply system (public tap, well, public reservoir) or a private source such as a well or a natural source (river, spring, etc.). The water supply is determined by coverage of essential water needs for cooking and laundry, and not just for bathing. Ask the head of head of household the following question: "How is the household supplied with water?"<br /><br />Example 1: The household is provided with water through a public well with a pump Record the answer as follows:<br />Question 7 - Water Supply:<br /><div class="i1">[] Public tap<br />[x] Well<br />[] Fountain<br />[] River<br />[] Spring<br />[] Other</div><br /><br />Example 2: The household is supplied with water from a public tap in the street.<br />Question 7 - Water Supply:<br /><div class="i1">[x] Public tap<br />[] Well<br />[] Fountain<br />[] River<br />[] Spring<br />[] Other</div><br /></svar> Mali 1987: All households This variable identifies the source of water of each household. 1 Tap 2 Deep well, shallow well 3 River, stream, spring 4 Public fountain 5 Other type 9 Unknown Utilities Variables -- HOUSEHOLD Type of toilet facility <svar v="ML87A053" a="all">8. Type of toilet facility<br /><div class="i1">[] Flush toilet<br />[] Pit latrine<br />[] Other type</div><br /></svar> <svar v="ML87A053" a="all">8. Type of Toilet Facility<br />This question indicates whether or not the household has a toilet at its disposal. For institutional households (see Concepts) indicate the number of toilets [cabinet].<br /><br />Definition: A "toilet", also called a WC, is a facility intended for the disposal of waste or human excrement. It can be a flush toilet or a latrine.<br /><div class="i1">a. The flush toilet. A flush toilet (or modern WC) is an installation linked to a network of water pipes through which human waste is evacuated.<br /><br />b. Latrine. This is the most common type of WC. It is a hole in the ground, the sides of which may or may not be cemented, and located in a small building in a corner of the compound. It is used as a bath for household members, in addition to their [toilet] needs.</div><br /><br /><span class="pg">[Page 48]</span><br />Refer to these definitions and then ask the head of household the following question: "Does the household have a toilet facility?" Check the corresponding box according to their response.<br /><br />Example 1. The household uses a WC located in a corner of the compound as a toilet. It is a simple hole with cemented sides and surrounded by walls.<br />Question 8 - Type of Toilet Facility:<br /><div class="i1">[] Flush Toilet<br />[x] Latrine<br />[] Other</div><br /></svar> Mali 1987: All households This variable identifies the type of toilet facility of each household. 1 Flush toilet 2 Pit latrine 3 Other type 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Type of lighting <svar v="ML87A054" a="all">9. Type of lighting<br /><div class="i1">[] Electricity<br />[] Gas<br />[] Petrol lamp<br />[] Other type</div><br /></svar> <svar v="ML87A054" a="all">9. Lighting<br /><br />This is the type of lighting used to light the household (electric, gas, lamp, other).<br /><div class="i1">a. Electricity: The household has a permanent lighting fixture available to it, one whose wires are connected to a central distribution source for electricity (Energie du Mali, factory, mine, etc.) or a private source such as a battery.<br /><br />b. Gas: This type of lighting is a gas-fueled lamp or fixture.<br /><br />c. Oil Lamp: The household uses an oil lamp.<br /><br />d. Other: Vegetable- or animal-oil lamp, wood fire, other, none.</div><br /><br />Ask the following question to find out the type of lighting: "What type of lighting is used by the household?" Refer to the above definitions and then check the correct box according to the typical case.<br /></svar> Mali 1987: All households This variable identifies the type of lighting of each household. 1 Electricity 2 Gas 3 Petrol lamp 4 Other type 9 Unknown Utilities Variables -- HOUSEHOLD Type of Fuel <svar v="ML87A055" a="all">10. Type of fuel<br /><div class="i1">[] Gas<br />[] Fire wood<br />[] Coal<br />[] Other type</div><br /></svar> <svar v="ML87A055" a="all">10. Fuel<br /><br />This is fuel used for cooking and heating the household. The options are: gas, wood, coal, others to be specified. Ask the head of household about the type of fuel used and check off the corresponding box.<br /></svar> Mali 1987: All households This variable identifies the type of fuel used in each household. 1 Gas 2 Firewood 3 Charcoal 4 Other type 9 Unknown Utilities Variables -- HOUSEHOLD Improved fire place <svar v="ML87A056" a="all">11. Improved stove<br /><div class="i1">[] Yes<br />[] No</div><br /></svar> <svar v="ML87A056" a="all">11. Improved fireplace<br /><br />Ask the head of household about the possibility of the existence of an improved fireplace and check off "yes" if it exists and "no" if it doesn't.<br /></svar> Mali 1987: All households This variable identifies whether there is an improved fire place in each household. 1 Yes 2 No 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Number of mortality records <svar v="ML87A057" a="all">Deaths in past 12 months<br /><div class="i1">Sequential number<br />_ _<br /><br />First name and last name ____<br /><br />Sex<br />____<br /><br />Age at death<br />_ _ _</div><br /></svar> <svar v="ML87A057 ML87A471"><span class="em">1-3 PART C OF THE HOUSING FORM: Births and Deaths</span><br /><br />This section is devoted to events of the previous 12 months. It is related to births and all deaths in the household over the course of the 12 months preceding the date of the census.<br /><br />These events should be recorded very faithfully and exactly to avoid omissions which could negatively affect the quality of the data. In addition, the accuracy of the results obtained is dependent upon rigorously respecting the period of the 12 months which are used as a period of reference. The date of the enumerator's visit to the household will be a point of reference in determining this period.<br /><br />Thus, since the date of the enumerator's visit to the household is April 6, 1987, only those events having taken place between April 6, 1986 and that date will be recorded.<br /><br />A birth or a death which took place before April 6, 1986 will not be recorded. To help in this, a seasonal calendar has been created to help illiterate people better situate the period of the 12 months preceding the census. This seasonal calendar establishes the correspondence between the dates on the French calendar and those of the Muslim calendar with those of the names of the month in Bambara. The National Council, which took place the 29, 30 and 31 of March, 1986, can be a useful reference point to help situate those events in time.<br /><br /><span class="em">General Principal in Recording Births and Deaths</span><br />When you are ready to record these events, proceed as follows: write the date of your visit to the household on a piece of scratch paper. Let's imagine that the date is April 6, 1987. In that case, only record events which took place between April 6 1986 and that date.<br /><br />For illiterate heads of household, look for the date corresponding to April 6, 1986 on the seasonal calendar in the annex to determine the reference period.<br /></svar></p> <p><svar v="ML87A057" a="all"><span class="em">1.3.2 Table 2: Deaths during the past 12 months</span><br />This table relates to all deaths occurring in the household in the past 12 months: children, adults and old people.<br /><br />The deaths will also be recorded according to the general principal indicated above. Proceed as follows: write the date of your visit to the household on a piece of scratch paper.<br /><br />For example: April 6, 1987. Then ask the head of household the following question: "Have there been any deaths in the household since April 6, 1986?" For illiterate heads of household this will be the lunar month corresponding to the month of April 1986 on the Muslim calendar (annex).<br /><div class="i1">- If the answer to the question is NO, cross out table 2.<br />- If the answer to the question is YES, fill out table 2. But before you fill out the table, first make sure that the deaths did indeed occur during the 12-month period preceding your visit to the household. Then fill out table 2 according to the order of the columns.</div><br /><br />1. Rank<br />Give a rank of 1, 2, etc. to each death and write it in this column.<br /><br />2. First name and last name<br />Write the first and last names of the deceased.<br /><br />3. Sex<br />Write M for masculine and F for feminine.<br /><br />4. Age at death<br />Ask the head of household the age of the person when he/she died. For persons aged more than one year, write the age in completed years. For children aged less than one year, write the age in completed months.<br /><br />Comments: Record the death of those children who died before the age of one very carefully. These children should be included on the table of births. Don't forget to ask the question about deaths in all households, even if no [deaths] were reported in the last several households questioned.<br /></svar> Mali 1987: All households This variable identifies the number of mortality records in each household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Constructed Household 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 Residence status: de facto, de jure RESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents. It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night. De jure population: present residents and absent residents. De facto population: present residents and visitors/non-residents. 1 Present resident 2 Absent resident 3 Visitor/non-resident 4 De facto population (present persons) 9 Unknown/missing 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. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. 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 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 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 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 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 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 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 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) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 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. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Occupation, ISCO-1968, 3-digit ISCO68A provides the 3-digit occupation code for the respondent using the ISCO-1968 occupation classification. 011 Chemists 012 Physicists 013 Physical scientists not elsewhere classified 014 Physical science technicians 021 Architects and town planners 022 Civil engineers 023 Electrical and electronics engineers 024 Mechanical engineers 025 Chemical engineers 026 Metallurgists 027 Mining engineers 028 Industrial engineers 029 Engineers not elsewhere classified 031 Surveyors 032 Draughtsmen 033 Civil engineering technicians 034 Electrical and electronics engineering technicians 035 Mechanical engineering technicians 036 Chemical engineering technicians 037 Metallurgical technicians 038 Mining technicians 039 Engineering technicians not elsewhere classified 041 Aircraft pilots, navigators and flight engineers 042 Ships' deck officers and pilots 043 Ships' engineers 049 Aircraft and ships officers, n.e.c. 051 Biologists, zoologists and related scientists 052 Bacteriologists, pharmacologists and related scientists 053 Agronomists and related scientists 054 Life sciences technicians 059 Life sciences technicians and related technicians, n.e.c. 061 Medical doctors 062 Medical assistants 063 Dentists 064 Dental assistants 065 Veterinarians 066 Veterinary assistants 067 Pharmacists 068 Pharmaceutical assistants 069 Dietitians and public health nutritionists 071 Professional nurses 072 Nursing personnel not elsewhere classified 073 Professional midwives 074 Midwifery personnel not elsewhere classified 075 Optometrists and opticians 076 Physiotherapists and occupational therapists 077 Medical Xray technicians 079 Medical, dental, veterinary and related workers not elsewhere classified 081 Statisticians 082 Mathematicians and actuaries 083 Systems Analysts 084 Statistical and mathematical technicians 089 Statisticians, mathematicians, systems analysts and related technicians, n.e.c. 090 Economists 099 Other social scientists, n.e.c. 110 Accountants 121 Lawyers 122 Judges 129 Jurists not elsewhere classified 131 University and higher education teachers 132 Secondary education teachers 133 Primary education teachers 134 Preprimary education teachers 135 Special education teachers 139 Teachers not elsewhere classified 141 Ministers of religion and related members of religious orders 149 Workers in religion not elsewhere classified 151 Authors and critics 159 Authors, journalists and related writers not elsewhere classified 161 Sculptors, painters and related artists 162 Commercial artists and designers 163 Photographers and cameramen 169 Sculptors, painters and related artists, n.e.c. 171 Composers, musicians and singers 172 Choreographers and dancers 173 Actors and stage directors 174 Producers, performing arts 175 Circus performers 179 Performing artists not elsewhere classified 180 Athletes, sportsmen and related workers 191 Librarians, archivists and curators 192 Sociologists, anthropologists and related scientists 193 Social workers 194 Personnel and occupational specialists 195 Philologists, translators and interpreters 199 Other professional, technical and related workers 201 Legislative officials 202 Government administrators 211 General managers 212 Production managers (except farm) 219 Managers not elsewhere classified 299 Administrative and managerial, n.e.c. 300 Clerical supervisors 310 Government executive officials 321 Stenographers, typists and teletypists 322 Card and tapepunching machine operators 323 Telex operators 329 Stenegraphers, typists and teletypists, n.e.d. 331 Bookkeepers and cashiers 339 Bookkeepers, cashiers and related workers not elsewhere classified 341 Bookkeeping and calculating machine operators 342 Automatic dataprocessing machine operators 349 Computing machine operators, n.e.c. 351 Railway station masters 352 Postmasters 359 Transport and communications supervisors not elsewhere classified 360 Transport conductors 370 Mail distribution clerks 380 Telephone and telegraph operators 391 Stock clerks 392 Material and production planning clerks 393 Correspondence and reporting clerks 394 Receptionists and travel agency clerks 395 Library and filing clerks 399 Clerks not elsewhere classified 400 Managers (wholesale and retail trade) 410 Working proprietors (wholesale and retail trade) 421 Sales supervisors 422 Buyers 431 Technical salesmen and service advisers 432 Commercial travellers and Manufacturers' agents 439 Technical salesmen, commercial travellers and manufacturers' agents, n.e.c. 441 Insurance, real estate and securities salesmen 442 Business services salesmen 443 Auctioneers 451 Salesmen, shop assistants and demonstrators 452 Street vendors, canvassers and newsvendors 454 Itinerant traders 459 Salesmen, shop assistants and demonstrators, n.e.c. 490 Sales workers not elsewhere classified 500 Managers (catering and lodging services) 510 Working proprietors (catering and lodging services) 520 Housekeeping and related service supervisors 531 Cooks 532 Waiters, bartenders and related workers 540 Maids and related housekeeping service workers not elsewhere classified 551 Building caretakers 552 Charworkers, cleaners and related workers 560 Launderers, drycleaners and pressers 570 Hairdressers, barbers, beauticians and related workers 581 Firefighters 582 Policemen and detectives 589 Protective service workers not elsewhere classified 591 Guides 592 Undertakers and embalmers 599 Other service workers 600 Farm managers and supervisors 611 General farmers 612 Specialised farmers 621 General farm workers 622 Field crop and vegetable farm workers 623 Orchard, vineyard and related tree and shrub crop workers 624 Livestock workers 625 Dairy farm workers 626 Poultry farm workers 627 Nursery workers and gardeners 628 Farm machinery operators 629 Agricultural and animal husbandry workers not elsewhere classified 631 Loggers 632 Forestry workers (except logging) 639 Forestry and loggers, n.e.c. 641 Fishermen 649 Fishermen, hunters and related workers not elsewhere classified 700 Production supervisors and general foremen 711 Miners and quarrymen 712 Mineral and stone treaters 713 Well drillers, borers and related workers 721 Metal smelting, converting and refining furnacemen 722 Metal rollingmill workers 723 Metal melters and reheaters 724 Metal casters 725 Metal moulders and coremakers 726 Metal annealers, temperers and casehardeners 727 Metal drawers and extruders 728 Metal platers and coaters 729 Metal processers not elsewhere classified 731 Wood treaters 732 Sawyers, plywood makers and related woodprocessing workers 733 Paper pulp preparers 734 Paper makers 739 Wood preparation workers and paper makers, n.e.c. 741 Crushers, grinders and mixers 742 Cookers, roasters and related heattreaters 743 Filter and separator operators 744 Still and reactor operators 745 Petroleum refining workers 749 Chemical processers and related workers not elsewhere classified 751 Fibre preparers 752 Spinners and winders 753 Weaving and knittingmachine setters and patterncard preparers 754 Weavers and related workers 755 Knitters 756 Bleachers, dyers and textile product finishers 759 Spinners, weavers, knitters, dyers and related workers not elsewhere classified 761 Tanners and fellmongers 762 Pelt dressers 769 Tanners, fellmongers and pelt dressers, n.e.c. 771 Grain millers and related workers 772 Sugar processers and refiners 773 Butchers and meat preparers 774 Food preservers 775 Dairy product processers 776 Bakers, pastrycooks and confectionery makers 777 Tea, coffee and cocoa preparers 778 Brewers, wine and beverage makers 779 Food and beverage processers not elsewhere classified 781 Tobacco preparers 782 Cigar makers 783 Cigarette makers 789 Tobacco preparers and tobacco product makers not elsewhere classified 791 Tailors and dressmakers 792 Fur tailors and related workers 793 Milliners and hatmakers 794 Patternmakers and cutters 795 Sewers and embroiderers 796 Upholsterers and related workers 799 Tailors, dressmakers, sewers, upholsterers and related workers not elsewhere classified 801 Shoemakers and shoe repairers 802 Shoe cutters, lasters, sewers and related workers 803 Leather goods makers 811 Cabinetmakers 812 Woodworking machine operators 819 Cabinetmakers and related woodworkers not elsewhere classified 820 Stone cutters and carvers 831 Blacksmiths, hammersmiths and forgingpress operators 832 Toolmakers, metal patternmakers and metal markers 833 Machinetool setteroperators 834 Machinetool operators 835 Metal grinders, polishers and tool sharpeners 839 Blacksmiths, toolmakers and machinetool operators not elsewhere classified 841 Machinery fitters and machine assemblers 842 Watch, clock and precision instrument makers 843 Motor vehicle mechanics 844 Aircraft engine mechanics 849 Machinery fitters, machine assemblers and precision instrument makers (except electrical) not elsewhere classified 851 Electrical fitters 852 Electronics fitters 853 Electrical and electronics equipment assemblers 854 Radio and television repairmen 855 Electrical wiremen 856 Telephone and telegraph installers 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and electronics workers not elsewhere classified 861 Broadcasting station operators 862 Sound equipment operators and cinema projectionists 871 Plumbers and pipe fitters 872 Welders and flamecutters 873 Sheetmetal workers 874 Structural metal preparers and erectors 879 Other plumbers, welders, sheet metal and structural metal preparers and erectors 880 Jewellery and precious metal workers 891 Glass formers, cutters, grinders and finishers 892 Potters and related clay and abrasive formers 893 Glass and ceramics kilnmen 894 Glass engravers and etchers 895 Glass and ceramics painters and decorators 899 Glass formers, potters and related workers not elsewhere classified 901 Rubber and plastics product makers (except tire makers and tire vulcanisers) 902 Tire makers and vulcanisers 910 Paper and paperboard products makers 921 Compositors and typesetters 922 Printing pressmen 923 Stereotypers and electrotypers 924 Printing engravers (except photoengravers) 925 Photoengravers 926 Bookbinders and related workers 927 Photographic darkroom workers 929 Printers and related workers not elsewhere classified 931 Painters, construction 939 Painters not elsewhere classified 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Nonmetallic mineral product makers 949 Other production and related workers 951 Bricklayers, stonemasons and tile setters 952 Reinforced concreters, cement finishers and terrazzo workers 953 Roofers 954 Carpenters, joiners and parquetry workers 955 Plasterers 956 Insulators 957 Glaziers 959 Construction workers not elsewhere classified 961 Power generating machinery operators 969 Stationary engine and related equipment operators not elsewhere classified 971 Dockers and freight handlers 972 Riggers and cable splicers 973 Crane and hoist operators 974 Earthmoving and related machinery operators 979 Material handling equipment operators not elsewhere classified 981 Ships' deck ratings, barge crews and boatmen 982 Ships' engineroom ratings 983 Railway engine drivers and firemen 984 Railway brakemen, signalmen and shunters 985 Motor vehicle drivers 986 Animal and animaldrawn vehicle drivers 989 Transport equipment operators not elsewhere classified 990 Labourers not elsewhere classified 995 Armed forces 997 Response suppressed 998 Unknown 999 NIU (not in universe) 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. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits 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 or public sector 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 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 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 Mute or speech impaired DISMUTE indicates if the person could not speak or had a significant speech impediment. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Psychological disability DISPSYC indicates whether the person was disabled due to mental illness. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Person number (within household) Mali 1987: All persons This variable identifies the person number (within the household) for each person. 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 Technical Person Variables -- PERSON Relationship with the head of household <svar v="ML87A401" a="all">3. Relationship to head of household<br /><div class="i1">____</div><br /></svar> 3. Family Relationship</p> <p>This column is used to specify the relationship of each household member to the head of household. The official list, by the B.C.R., is as follows:</p> <div class="i1">1. C.M. [Head of household]<br />2. Spouse of head: EP of 1<br />3. Son of head: FS of 1x<br />4. Daughter of head: FL of 1x<br />5. Father of head: P of 1<br />6. Mother of head: M of 1<br />7. Brother of head: F of 1<br />8. Sister of head: S of 1<br />9. Other relationship: AL<br />10. No family relationship: SP (servant, etc.)</div> Mali 1987: All persons This variable indentifies the relationship of each person within the household to the head of household. 1 Household head 2 Spouse 3 Child 4 Father or mother 5 Brother or sister 6 Other relative 7 No kin relationship 9 Unknown Demographic Variables -- PERSON Sex <svar v="ML87A402" a="all">4. Sex (M/F)<br /><div class="i1">____</div><br /></svar> <svar v="ML87A402" a="all">4. Sex<br /><br />Indicate the sex of each individual in the household.<br /><div class="i1">M = for the male sex<br />F = for the female sex</div><br /><br />Never try to deduce the sex from the person's first name, but, always ask. Individuals of different sex may have the same first name.<br /><br />Examples: Adama, Sadi[o], Morimba, Massiré, etc...<br /></svar> Mali 1987: All persons This variable identifies the sex of each person. 1 Male 2 Female Demographic Variables -- PERSON Residence status <svar v="ML87A403" a="all">5. Residence status<br /><div class="i1">____</div><br /></svar> G. Resident</p> <p>A resident is a person who has spent 6 months or more in his current place of residence, or who intends to stay there even if the amount of time he has already spent there is less than 6 months. If this person spent the night prior to the enumerator's visit in the town of the census he/she would be written down as: present resident [R.P.].</p> <p>If the person did not spend the night prior to the enumerator's visit in the town, write down RAI if he/she was absent but in another place in Mali, or RAE if he/she was absent and outside of Mali in another country.</p> <p>Comments: Do not enumerate absent residents who left the household more than six (6) months ago.</p> <p><svar v="ML87A403" a="all">5. Housing Status<br /><br />The fixed reference [time] for gathering information about the housing status is the night before the enumerator's visit to the household. The different categories of resident and visitor can be distinguished by referring to the night before the enumerator's visit. Refer to the definitions of Resident and Visitor given in the Concepts and write:<br /><div class="i1">- RP for Present resident</div><br /><br />For absent residents, indicate as follows:<br /><div class="i1">- RAI for any absent resident who is someplace in Mali;<br />- RAE for any absent resident who is in a foreign country outside of Mali (Ivory Coast, Senegal, Guinea, France, etc...)</div><br /><br />[The page may be cut off]<br /><br /><span class="pg">[Page 24]</span><br />Absent residents who left the country more than 6 months ago are not enumerated.<br /><br />For visitors, indicate as follows:<br /><div class="i1">- VI = for visitors who come from someplace in Mali<br />- VE = for visitors from someplace outside of Mali.</div><br /><br />Special cases:<br /><div class="i1">- Census employees working in the field (enumerators, team leaders, controllers, etc.) will be enumerated as present residents [RP] in their respective families.<br />- Civil servants who have just been transferred to a new place will be enumerated as present residents [RP] in the new place.<br />- Women who have left to give birth at their parents' will be indicated as visitors at their parents'. In the husband's house they will be indicated as RAI if the parents are in Mali or RAE if the parents are outside of Mali.<br />- Boarding school students; hospital residents; the incarcerated; and members of religious orders living in a convent will be enumerated in those institutions, which are called institutional households.</div><br />Housing Status for Nomad Households<br /><br />All nomad households grouped together outside of their normal nomad corridor are considered present residents [RP] even if their stay is for fewer than 6 months.<br /><br />Nonetheless, a member of a nomad household, as in the case described above, is considered as an absent resident [RA] if he lives outside of the household. In the same way a single individual who lives outside of his household will be recorded as a visitor in the place where he is enumerated (the place where he is seen). It should be clarified that the households living in their normal nomad area will be treated as sedentary households; only the geographical framework changes.<br /></svar> Mali 1987: All persons This variable identifies the residence status of each person within a household. 1 Resident present 2 Resident absent inside Mali 3 Resident absent outside Mali 4 Resident absent 5 Visitor from elsewhere inside Mali 6 Visitor from elsewhere outside Mali 7 Visitor 9 Unknown Other Person Variables -- PERSON Residence status by sex <svar v="ML87A404" a="all"><br /><span class="em">RP: Resident, Present </span><br /><br />1. RP: Males<br /><div class="i1">_ _</div><br /><br />2. RP: Females<br /><div class="i1">_ _</div><br /><br /><span class="em">RA: Resident, Absent </span><br /><br />3. RAI: Males<br /><div class="i1">_ _</div><br /><br />4. RAI: Females<br /><div class="i1">_ _</div><br /><br />5. RAE: Males<br /><div class="i1">_ _</div><br /><br />6. RAE: Females<br /><div class="i1">_ _</div><br /><br /><span class="em">V: Visitor</span><br /><br />7. VI: Males<br /><div class="i1">_ _</div><br /><br />8. VI: Females<br /><div class="i1">_ _</div><br /><br />9. VE: Males<br /><div class="i1">_ _</div><br /><br />10. VE: Females<br /><div class="i1">_ _</div><br /></svar> Mali 1987: All persons This variable identifies the residence status of each person within the household by sex. 11 Resident present - male 12 Resident absent inside Mali - male 13 Resident absent outside Mali - male 14 Resident absent - male 15 Visitor from elsewhere inside Mali - male 16 Visitor from elsewhere outside Mali - male 17 Visitor - male 18 Unknown - male 21 Resident present - female 22 Resident absent inside Mali - female 23 Resident absent outside Mali - female 24 Resident absent - female 25 Visitor from elsewhere inside Mali - female 26 Visitor from elsewhere outside Mali - female 27 Visitor - female 28 Unknown - female Other Person Variables -- PERSON Date of birth <svar v="ML87A407 " a="all">6. Date of birth (month/year)<br /><div class="i1">_ _/_ _ _ _</div><br /></svar> <svar v="ML87A407" a="all">6. Birth Date:<br /><br />Write the birth date in column 6 for persons in the household who have an official document related to their birth date. Then write it converted into completed years in column 7, as indicated in the example below.<br /><br /><span class="pg">[Page 25]</span><br /><br />Practical example: The birth date of a person born on August 22, 1968 is indicated as shown in this table.<br /><br />Date of birth (month/year): 08/68 [_]<br />Age: 18 y [_ _ _]<br />Take the following documents into consideration when recording a birth date:<br /><div class="i1">- Birth certificate<br />- Baptism certificate</div><br /><br />Other documents, such as remedial orders, I.D. cards, family booklets, passports, etc... should not be considered unless they show at least the month and year of the individual's birth. If the documents don't have the year of birth, fill out only the AGE column. Convert the year of birth into completed years before writing it in column 7.<br /><br />Example: A certain individual's ID card has written on it: BORN AROUND 1940, without any additional detail about the day and month of birth. In this case determine the age of the individual by subtracting 1987 from 1940, which equals 47 years. Write this age in column 7 and write a dash or hyphen (-) in column 6.<br /></svar> Mali 1987: All persons This variable identifies the date of birth (only for persons with an official document, specifying the year and month of birth). 1 Does not know own date of birth 2 Knows own date of birth (from official document) Other Person Variables -- PERSON Age unit <svar v="ML87A408 ML87A409 ML87A470" a="all">7. Age<br /><div class="i1">_ _ _</div><br /></svar> <svar v="ML87A470 ML87A408 ML87A409" a="all">7. Age<br /><br />Specify the age both for individuals who know their date of birth as well as for those who have no official documents indicating the month and year of their birth. Ask the age of the individual and write it in column 7.<br /><br />Calculate the age in completed years for persons aged more than one year and in completed months for children of less than one year (12 months). Thus:<br /><div class="i1">- An individual who is 30 years and 8 months will be recorded as having 30 years<br />- An individual born in 1950 is: 1987 - 1950 years, or 37 years old<br />- A baby of 4 months and 28 days will be recorded as having 04 months<br />- A baby of 15 days will be recorded as having 15 days.</div><br /><br />Be especially attentive when you are getting the age of children younger than one year.<br /><br /><span class="pg">[Page 26]</span><br />The age of these children must be specified in completed months. If possible use the seasonal calendar in the annex.<br /><br />NB: The age of a person in completed years is obtained by:<br /><br /><div class="i1">a. Subtracting the person's year of birth from 1987 if he has already celebrated his birthday in 1987;<br /><br />b. Subtracting the person's year of birth from 1986 if he has not yet celebrated his birthday at the time of the interview.</div><br /><br />Practical example: Mamadou DIARRA, born on June 10 1932, is 54 years old. His wife Mariam TRAORE is 37 and his baby, Oumar DIARRA is 6 months old, though his exact date of birth is not known. Write their ages on the questionnaire as follows:<br /><br />MAMADOU DIARRA<br />Date of birth (6) or age (7): 06/32 [_] and 54 y [_ _ _]<br /><br />MIRIAM TRAORE<br />Date of birth (6) or age (7): [_] and 37 y [_ _ _]<br /><br />OUMAR DIARRA<br />Date of birth (6) or age (7): [_] and 6 months [_ _ _]<br /><br />NOTE: Giving the date of birth does not exclude mentioning the age.<br /><br /><span class="em">People who don't know their age:</span><br /><br />During the census count you may meet people who do not know their age. In these cases help those people determine their age using one of the following two methods:<br /><br />Method 1 - Historical Calendar<br />A historical calendar is a list of memorable national [or local events, with their dates, which have a special influence on national life in general]<br /><br /><span class="pg">[Page 27] </span><br /><br />or the life of local communities in particular. Using this calendar to determine a person's age consists of giving an estimated age at the time of one of these events, and the date of birth can then be determined by subtracting the date of the census to obtain the true age.<br /><br />To use the historical calendar follow these steps:<br /><br />First estimate the age of the individual from his/her appearance. Let's assume [the person looks] 30 years old. To find the starting point in the calendar, add 5 years to this age: 30 + 5=35 years.<br /><br />Now subtract that number from the date of the census: 1986 - 30 = 1956.<br /><br />Then look in the calendar for an event that takes place around 1956, and say out loud to the person, "Do you remember this event?"<br /><br /><div class="i1">- If the answer is yes then ask what age he thinks he may have been at that time. Let's assume he is able to say with certainty that he was 10. Then this individual was [born] in 1956-10, or 1946, and his age is then equal to 1986-1946 or 40 years.<br /><br />- If the answer is no then go to the next event.</div><br />Method 2 - Chronological ranking<br />Some members of the household may remember that they are older or younger than other members of their household or people around them even if they don't know their own age. If you can determine precisely the age of one or 2 of these people, you can estimate the age of an individual who does not know his age.<br /></svar> Mali 1987: All persons This variable identifies the age unit for each person. 1 Days 2 Months 3 Years Demographic Variables -- PERSON Age in months, years <svar v="ML87A408 ML87A409 ML87A470" a="all">7. Age<br /><div class="i1">_ _ _</div><br /></svar> <svar v="ML87A470 ML87A408 ML87A409" a="all">7. Age<br /><br />Specify the age both for individuals who know their date of birth as well as for those who have no official documents indicating the month and year of their birth. Ask the age of the individual and write it in column 7.<br /><br />Calculate the age in completed years for persons aged more than one year and in completed months for children of less than one year (12 months). Thus:<br /><div class="i1">- An individual who is 30 years and 8 months will be recorded as having 30 years<br />- An individual born in 1950 is: 1987 - 1950 years, or 37 years old<br />- A baby of 4 months and 28 days will be recorded as having 04 months<br />- A baby of 15 days will be recorded as having 15 days.</div><br /><br />Be especially attentive when you are getting the age of children younger than one year.<br /><br /><span class="pg">[Page 26]</span><br />The age of these children must be specified in completed months. If possible use the seasonal calendar in the annex.<br /><br />NB: The age of a person in completed years is obtained by:<br /><br /><div class="i1">a. Subtracting the person's year of birth from 1987 if he has already celebrated his birthday in 1987;<br /><br />b. Subtracting the person's year of birth from 1986 if he has not yet celebrated his birthday at the time of the interview.</div><br /><br />Practical example: Mamadou DIARRA, born on June 10 1932, is 54 years old. His wife Mariam TRAORE is 37 and his baby, Oumar DIARRA is 6 months old, though his exact date of birth is not known. Write their ages on the questionnaire as follows:<br /><br />MAMADOU DIARRA<br />Date of birth (6) or age (7): 06/32 [_] and 54 y [_ _ _]<br /><br />MIRIAM TRAORE<br />Date of birth (6) or age (7): [_] and 37 y [_ _ _]<br /><br />OUMAR DIARRA<br />Date of birth (6) or age (7): [_] and 6 months [_ _ _]<br /><br />NOTE: Giving the date of birth does not exclude mentioning the age.<br /><br /><span class="em">People who don't know their age:</span><br /><br />During the census count you may meet people who do not know their age. In these cases help those people determine their age using one of the following two methods:<br /><br />Method 1 - Historical Calendar<br />A historical calendar is a list of memorable national [or local events, with their dates, which have a special influence on national life in general]<br /><br /><span class="pg">[Page 27] </span><br /><br />or the life of local communities in particular. Using this calendar to determine a person's age consists of giving an estimated age at the time of one of these events, and the date of birth can then be determined by subtracting the date of the census to obtain the true age.<br /><br />To use the historical calendar follow these steps:<br /><br />First estimate the age of the individual from his/her appearance. Let's assume [the person looks] 30 years old. To find the starting point in the calendar, add 5 years to this age: 30 + 5=35 years.<br /><br />Now subtract that number from the date of the census: 1986 - 30 = 1956.<br /><br />Then look in the calendar for an event that takes place around 1956, and say out loud to the person, "Do you remember this event?"<br /><br /><div class="i1">- If the answer is yes then ask what age he thinks he may have been at that time. Let's assume he is able to say with certainty that he was 10. Then this individual was [born] in 1956-10, or 1946, and his age is then equal to 1986-1946 or 40 years.<br /><br />- If the answer is no then go to the next event.</div><br />Method 2 - Chronological ranking<br />Some members of the household may remember that they are older or younger than other members of their household or people around them even if they don't know their own age. If you can determine precisely the age of one or 2 of these people, you can estimate the age of an individual who does not know his age.<br /></svar> Mali 1987: All persons This variable identifies the age in months, years for each person. 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 Place of birth: province or country <svar v="ML87A410" a="all">8. Place of birth (district [<span class="lang">cercle</span>] or country)<br /><div class="i1">____</div><br /></svar> <svar v="ML87A410" a="all">8. Place of Birth (province or country)<br /><br />This purpose of this question is to find out the place of birth of the members of the household. To do this, ask a question like "where was this person born," (try to figure out the province) and write the answer given in column 8.<br /><br /><div class="i1">a. Write the name of the province of birth if the individual was born in Mali. But be careful: If a person gives you the name of a town make sure you know which administrative province in Mali this town is in before you write it down.<br /><br />b. If the individual was born outside of Mali, write the name of the country of birth (Senegal, Gambia, Guinea, France, etc...)</div><br /><br /><span class="pg">[Page 28]</span><br />Practical example: Mamadou DIARRA was born in the village of Togoye in the district of Taga, in the province of Djenné in the region of Mopti.<br /><br />The province of birth is Djenné, and this is what you write in column 8.<br /></svar> Mali 1987: All persons This variable identifies the place of birth: province or country for each person. 011 Kayes 012 Bafoulabé 013 Diéma 014 Kéniéba 015 Kita 016 Nioro 017 Yélimané 021 Koulikoro 022 Banamba 023 Dioila 024 Kangaba 025 Kati 026 Kolokani 027 Nara 031 Sikasso 032 Bougouni 033 Kadiolo 034 Kolondiéba 035 Koutiala 036 Yanfolila 037 Yorosso 041 Ségou 042 Baraouéli 043 Bla 044 Macina 045 Niono 046 San 047 Tominian 051 Mopti 052 Bandiagara 053 Bankass 054 Djénné 055 Douentza 056 Koro 057 Ténenkou 058 Youvarou 061 Tombouctou 062 Diré 063 Goundam 064 Gourma Rharous 065 Niafunké 071 Gao 072 Ansongo 073 Bourem 074 Kidal 075 Ménaka 081 Bamako 101 Guinea 102 Ivory Coast 103 Burkina Faso 104 Niger 105 Mauritania 106 Algeria 107 Senegal 108 Ghana 109 Other African country 110 France 111 United States of America 112 China 113 U.S.S.R (Russia) 114 Other country in the world 999 Unknown Nativity and Birthplace Variables -- PERSON Duration of residence <svar v="ML87A411" a="all">9. Duration of residence<br /><div class="i1">_ _</div><br /></svar> <svar v="ML87A411" a="all">9. Length of Residence<br /><br />The length of residence is how long the person you are interviewing has lived in the place where he is enumerated. It is expressed in completed years. To get the length of residence you might ask a question like, "How long have you been living in this town". Write the answer as follows:<br /><br /><div class="i1">a. For individuals born in the province of the census and never having stayed in another province or abroad, write a dash or a hyphen in column 9. This does not pertain to them.<br /><br />b. For individuals born in the state of the census but who have had a stay of at least 6 months outside of the state, the length of residence is equal to the amount of time past, in completed years, since their most recent return to the province of the census.<br /><br />c. For individuals born in another province or abroad, the length of residence is the time which has passed, expressed in completed years, since their last arrival in the state where they are enumerated</div><br /><br />The length of all stays should be written in completed years<br /><br />For individuals whose length of residence in the region is less than one year write 0Y. For individuals whose length of residence in the region is 8 years, write 8Y. For individuals whose length of residence in the region is 16 years, write 16Y. Etc...<br /></svar> Mali 1987: Persons who migrated to present province [discrepancies: not verifiable] This variable identifies the duration of residence, in years, in the present province of enumeration for each person. 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 88 88 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Nationality <svar v="ML87A412" a="all">10. Nationality<br /><div class="i1">____</div><br /></svar> <svar v="ML87A412" a="all">10. Nationality<br /><div class="i1">At issue is determining nationality for Malians and for citizens of other countries. Ask the following question to get at this issue: "What is your nationality?" Then write the answer given in column 10.</div><br /><div class="i2">a. Write MALI for Malian nationality<br /><br />b. For foreigners, write the name of the country (Ivory Coast, Senegal, Cameroon, Togo, France, etc...)</div><br /><br /><div class="i1">For those people who have double nationality, who are in the midst of the naturalization process, or whose nationality is not well defined, identify them according to their most recent nationality or their country of origin.</div><br /></svar> Mali 1987: All persons This variable identifies the nationality of each person. 01 Mali 02 Guinea 03 Ivory Coast 04 Burkina Faso 05 Niger 06 Mauritania 07 Algeria 08 Senegal 09 Ghana 10 Other African country 11 France 12 United States of America 13 China 14 U.S.S.R (Russia) 15 Other country in the world 99 Unknown Nativity and Birthplace Variables -- PERSON Handicap <svar v="ML87A413" a="all">11. Disability / Handicap<br /><div class="i1">____</div><br /></svar> <svar v="ML87A413" a="all">11. Disability [handicap]<br /><div class="i1">This question deals with the principal illnesses or diseases which the Malian population suffers from. These illnesses are called disabilities because they contribute to the deterioration of the individual's state of health, a decline in their ability to work and a decrease in their output. In some cases they may even destroy any possibility of productive work. In this situation, ask the head of household the following question about every member of the household: "Does this person have a physical or mental disability?"<br />Write the answer in column 11 (Trypanosomiasis, insanity, leprosy, etc.)</div><br /></svar> Mali 1987: All persons This variable identifies the type of handicap of those persons who report one. 0 None 1 Blindness 2 Leprosy 3 Trypanosomiasis (sleeping sickness) 4 Tuberculosis 5 Severe mental disorder (madness) 6 Onchocerciasis (river blindness) 7 Deafness, muteness, deaf and mute 8 Disability of the limbs 9 Other disability or handicap Disability Variables -- PERSON Father alive <svar v="ML87A414" a="all">12. Father alive<br /><div class="i1">____</div><br /></svar> <svar v="ML87A414" a="all">12. Father Living<br /><div class="i1">Put "yes" in column 12 if the father of the person in question is still alive and "no" if he is not. Answer "yes" if the father is alive, regardless of whether or not he is present in the household.</div><br /></svar> Mali 1987: All persons This variable identifies whether the father of each person is alive. 1 Yes 2 No 9 Unknown Fertility and Mortality Variables -- PERSON Mother alive <svar v="ML87A415" a="all">13. Mother alive<br /><div class="i1">____</div><br /></svar> <svar v="ML87A415" a="all">13. Mother Living<br /><div class="i1">Put the same answer for the mother of the person in question. Write "yes" or "no" as appropriate.</div><br /></svar> Mali 1987: All persons This variable identifies whether the mother of each person is alive. 1 Yes 2 No 9 Unknown Fertility and Mortality Variables -- PERSON Literacy <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v="ML87A416" a="all">14. Knows how to read and write<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A416" a="all">14. Ability to read and write:<br /><br />Information given about this question allows the illiterate population to be distinguished from the literate population.<br /><br />Definitions: A literate person is one who is able to read, write and understand in any written language a brief text related to his daily life. An illiterate person would be one who does not know how to read or write.<br />As a result, a person who speaks only one language (French, for example) without being able to write it or write it, should not be considered a literate person. Likewise a<br /><br /><span class="pg">[Page 30]</span><br />person who only knows how to read and write his name and some numbers, or a single, very basic phrase, should not be considered literate.<br /><br />To find out the ability of the household members to read and write ask the following question: "Do you know how to read and write French, Arabic, the national language or any other written language?"<br /><br />a. If the answer is "Yes", write:<br /><div class="i1">- FREN or French: for a person who knows how to read and write French<br />- ARAB or Arabic: for Arabic<br />- LN: for a person who knows how to read and write the national language (Bambara, Peul, Senoufo)<br />- AUT: for other.</div><br /><br />NB: At issue is the ability to read and write in a national language, and not just to be able to speak it. This then is for people who take classes in functional literacy.<br /><br />b. When the answer to the above question is "no", write "No -- illiterate" in column 14.<br /></svar> Mali 1987: Persons age 6+ [discrepancies: type I none; type II trace] This variable identifies the literacy status of each person. 0 Illiterate 1 French 2 Arabic 3 Koran 4 One of the national languages (Bambara, Pularr, Songhai, Dongon, etc.) 5 One of the national languages plus French 6 French and another written language 7 Other languages 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Last grade attended <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v="ML87A417" a="all">15. Last school grade attended<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A417" a="all">15. Last grade attended<br /><br />In this case write the last grade attended (or successfully completed) of people who are currently in school, or who have already been to school. The schools in questions are: French schools, Franco-Arab schools, Koranic schools and schools for functional literacy<br /><br />Ask household members the following question about the last grade attended: "What was the last grade that you attended?" For those who are literate in one of the national languages this will be the name of a training campaign.<br /><br />Write the answer in column 15 according to their response. Write:<br /><div class="i1">a. NONE for people who have never been to school;<br />b. For students and all people who have been to school, write the last grade.</div><br /><br />Example 1: If a student is in 6th grade of basic schooling, the last class attended will be 6th A F<br /><br />Example 2: If an individual left school in the 8th year of basic schooling, the last grade he attended<br /><br />[The rest of text is cut off at bottom of page]<br /><br /><span class="pg">[Page 31]</span><br /><br />Example 3: A civil servant has his 4th year diploma from an institution of higher learning (FNA, ENI, ENSup, I.P.R. etc.). His last grade or level would the one in which he obtained his diploma, or 4th A. Sup.<br /><br />The table below shows the way to fill in the responses:<br /><br />[Table not reported here]<br /><br />The last grade attended is indicated in the last column. Pay special attention to cases where the names of the years have changed (basic school).<br /><br />1st and 2nd cycle uses a double name (general secondary and technical education).<br /></svar> Mali 1987: Persons age 6+ [discrepancies: type I none; type II 63.2%] This variable describes the last grade attended by each person. 00 No schooling 01 Fundamental school, first cycle 02 Fundamental school, second cycle 03 Secondary school, general or technical 04 Vocational school, teachers school 05 Higher education, university 06 Other diploma or title 07 Adult literacy school, one round 08 Adult literacy school, more than one round 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Mother's tongue <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v="ML87A418" a="all">16. Mother's tongue (maternal language)<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A418" a="all">16. Mother's Language<br /><br />At issue is the language spoken by the mother of the person in question. Put a dash or hyphen for foreigners.<br /></svar> Mali 1987: Persons age 6+ [discrepancies: type I none; type II trace] This variable identifies the mother tongue of each person. 01 Bambara, Malinké, Dioula 02 Pulaar (Peulh, Foulfoulbé) 03 Songhai, Djerma 04 Marka (Maraka), 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 Other African language 17 French 18 Arabic 19 English 20 Other non-African language (foreign language) 98 Unknown 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON Spoken language <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v="ML87A419" a="all">17. Language spoken<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A419" a="all">17. Spoken Language<br /><br />This is the language most commonly spoken by the person at home. Put a dash or a hyphen for foreigners.<br /></svar> Mali 1987: Persons age 6+ [discrepancies: type I none; type II trace] This variable identifies the spoken language of each person. 01 Bambara, Malinké, Dioula 02 Pulaar (Peulh, Foulfoulbé) 03 Songhai, Djerma 04 Marka (Maraka), 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 Other African language 17 French 18 Arabic 19 English 20 Other non-African language (foreign language) 98 Unknown 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON Type of activity <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v="ML87A420" a="all">18. Type of economic activity<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A420 ML87A421 ML87A422 ML87A424 ML87A425 ML87A426"><span class="em">[Questions] 18 - 22. Economic Activity:</span><br /><br />Questions 18 to 22 have to do with the economic activity of the people enumerated, i.e, their occupation. To fill in their forms pay careful attention to the following directions:<br /><div class="i1">a. Only ask these question of household members who are 6 years and older. Put a dash or a hyphen (-) for those less than 6 years old.</div><br /><br /><span class="pg">[Page 32]</span><br /><br /><div class="i1">b. To obtain information on economic activity use the month (30 days) prior to the census interview as the point of reference.</div><br /><br />However, for people who work in the agricultural sector (farming, breeding animals, fishing and forestry) this reference period is brought to [illegible] 12 months, taking into account the seasonal nature of employment in this sector. Rural work is carried out during a fixed period which does not correspond to the date of the census.<br /></svar></p> <p><svar v="ML87A420" a="all">18. Type of work<br /><br />This expresses the relation between a person and the work this person currently does. Determining this information allows the division of the population into the working and non-working populations.<br /><br />a. The working population<br /> The working population includes all employed workers and the unemployed.<br /><div class="i1">- Employed workers (ACO): This category includes all persons who have been employed in any job for the month preceding the census interview. For workers in the agricultural sector (farming, animal raising, fishing and forestry), this will be for the year preceding the census.<br />- Unemployed (CHO): The unemployed category includes the people who were not employed during the month preceding the census, but who were [looking for] a paid or paying job, include those people who had never worked.</div><br /><br />b. The non-working population<br />This population includes the people who do not have any paid work. It includes:<br /><div class="i1">- Housewives and unpaid household help, who do not have any other paid work and take care of household jobs at home. (Paid servants, on the other hand, are categorized with the working population.)<br />- High school and university students: persons of either sex who dedicate all their time to studying in an academic institution, either public or private, and who do not engage in any paid work. Classify Koranic students and students in functional literacy centers as working or non-working depending on whether they spend more time studying than working and vice versa.<br />- Retired people and those with a private income: persons of either sex who do not work and who have an income from property other than investments, royalties or pensions from previous employment.</div><br /><br /><span class="pg">[Page 33]</span><br /><br /><div class="i1">- The physically disabled are those whose physical state precludes any type of work.<br />- Other person not included in the preceding categories: Ask all members of the household aged 6 years or older the following questions: "Did you work last month?"</div><br /><div class="i2">If the answer is YES put ACO in column 10.<br />If the answer is NO then ask: "Were you looking for work?" If the answer is YES then write CHO in column 18. If the answer is NO write INAC in column 18.</div><br /><br />Special case: Housewives who do other paid work (field work, saleswoman, pottery, crafts, etc.) in addition to their house work should be categorized as employed working population, or ACO. Pay special attention to the possibility of dual work among women.<br /><br />For workers in the agricultural sector the period of reference is the last 12 months.<br /></svar> Mali 1987: Persons age 6+ [discrepancies: type I none; type II trace] This variable identifies the type of activity performed by each person. 1 Active, employed 2 Active, unemployed 3 Inactive 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Profession, major group <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v="ML87A421 ML87A422" a="all">19. Profession<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A420 ML87A421 ML87A422 ML87A424 ML87A425 ML87A426"><span class="em">[Questions] 18 - 22. Economic Activity:</span><br /><br />Questions 18 to 22 have to do with the economic activity of the people enumerated, i.e, their occupation. To fill in their forms pay careful attention to the following directions:<br /><div class="i1">a. Only ask these question of household members who are 6 years and older. Put a dash or a hyphen (-) for those less than 6 years old.</div><br /><br /><span class="pg">[Page 32]</span><br /><br /><div class="i1">b. To obtain information on economic activity use the month (30 days) prior to the census interview as the point of reference.</div><br /><br />However, for people who work in the agricultural sector (farming, breeding animals, fishing and forestry) this reference period is brought to [illegible] 12 months, taking into account the seasonal nature of employment in this sector. Rural work is carried out during a fixed period which does not correspond to the date of the census.<br /></svar></p> <p><svar v="ML87A421 ML87A422" a="all">19. Profession<br /><br />Profession is related to the trade learned by the person, regardless of his/her work.<br />Ask all persons aged 6 or older the following question in order to obtain information related to profession: "What trade/profession did you learn?"<br /><br /><div class="i1">a. For the employed working population and the unemployed write the trade/profession learned (farmer, mason, blacksmith, tailor, teacher in 1st cycle). Avoid any confusion with regard to a profession like doctor, professor, director, etc., and always specify "doctor in medicine," "teacher in 2nd cycle," etc. Put SQ (no training) for those individuals who did not learn a trade/profession.<br /><br />b. For the non-working population who learned a trade or profession, write this down and put the reason for their non-working status in the remarks column.</div><br /><br />For the non-working population who did not learn a trade or profession, write clearly the type of non-working activity (housewife, high school or university student, retired or with a private income, etc.)<br /><br />NB: put a dash or a hyphen for those aged less than 6 years.<br /></svar> Mali 1987: Economically active persons age 6+ [discrepancies: type I 0.5%; type II 0.7%] This variable identifies the reported profession of each person. 1 Scientific, technical, liberal and similar professions 2 Directors and higher managerial professions 3 Administrative personnel and similar professions 4 Commercial and sales professions 5 Specialized services professionals 6 Farming, husbandry, forestry and fishing professions 7 Non-farming and transportation professions 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Profession <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v="ML87A421 ML87A422" a="all">19. Profession<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A420 ML87A421 ML87A422 ML87A424 ML87A425 ML87A426"><span class="em">[Questions] 18 - 22. Economic Activity:</span><br /><br />Questions 18 to 22 have to do with the economic activity of the people enumerated, i.e, their occupation. To fill in their forms pay careful attention to the following directions:<br /><div class="i1">a. Only ask these question of household members who are 6 years and older. Put a dash or a hyphen (-) for those less than 6 years old.</div><br /><br /><span class="pg">[Page 32]</span><br /><br /><div class="i1">b. To obtain information on economic activity use the month (30 days) prior to the census interview as the point of reference.</div><br /><br />However, for people who work in the agricultural sector (farming, breeding animals, fishing and forestry) this reference period is brought to [illegible] 12 months, taking into account the seasonal nature of employment in this sector. Rural work is carried out during a fixed period which does not correspond to the date of the census.<br /></svar></p> <p><svar v="ML87A421 ML87A422" a="all">19. Profession<br /><br />Profession is related to the trade learned by the person, regardless of his/her work.<br />Ask all persons aged 6 or older the following question in order to obtain information related to profession: "What trade/profession did you learn?"<br /><br /><div class="i1">a. For the employed working population and the unemployed write the trade/profession learned (farmer, mason, blacksmith, tailor, teacher in 1st cycle). Avoid any confusion with regard to a profession like doctor, professor, director, etc., and always specify "doctor in medicine," "teacher in 2nd cycle," etc. Put SQ (no training) for those individuals who did not learn a trade/profession.<br /><br />b. For the non-working population who learned a trade or profession, write this down and put the reason for their non-working status in the remarks column.</div><br /><br />For the non-working population who did not learn a trade or profession, write clearly the type of non-working activity (housewife, high school or university student, retired or with a private income, etc.)<br /><br />NB: put a dash or a hyphen for those aged less than 6 years.<br /></svar> Mali 1987: Economically active persons age 6+ [discrepancies: type I 0.5%; type II 0.5%] This variable identifies the reported 3-digit profession of each person. 011 Chemist 012 Physicist 013 Physicist-chemist specialist 014 Physicist-chemist technician 021 Architect and urbanist 022 Civil engineer 023 Electrical engineer 024 Mechanic engineer 025 Chemical engineer 026 Mining engineer 027 Metallurgical engineer 028 Organizational engineer 029 Other engineer 031 Geometrician 032 Designer 033 Civil engineering technician 034 Electrical engineer technician 035 Mechanic engineer technician 036 Chemical engineer technician 037 Metallurgical engineer technician 038 Mining engineer technician 039 Other engineer technician 041 Airplane pilot 042 Officer pilot (sea and river navigation) 043 Officer mechanic (sea and river navigation) 051 Biologist, zoologist and similar activities 052 Bacteriologist, zoologist and similar activities 053 Agronomist and similar activities 054 Technician for biological and bacteriological sciences 061 Physician and surgeon 062 Medical assistant 063 Dentist 064 Dental assistant 065 Veterinarian 066 Veterinary assistant 067 Pharmacist 068 Pharmacy assistant 069 Dietician and specialties 071 Registered nurse 072 Other nurse 073 Registered midwife 074 Other midwife 075 Optometrician and optic 076 Physiotherapist and ergotherapist 077 Radiology technician 078 Traditional healer 079 Other physician, dentist, veterinarian and similar workers 082 Mathematician and actuary 083 Systems analyst 084 Statistics and mathematics technician 090 Economist 110 Accountant 121 Lawyer, procurator and counsel 122 Judge 129 Other lawyer 131 University and superior education professor 132 Secondary degree education personnel 133 Primary degree education personnel 134 Preschool education personnel 135 Special education personnel 139 Other education personnel 141 Clergy member of an organized religion 142 Koranic master 143 Imam 144 Marabout 145 Muezzin 146 Missionary 149 Other member of the clergy 151 Author and critic 159 Author, journalist and other writers 161 Sculptor, painter and similar artists 162 Decorator, window dresser, designer and similar worker 163 Photographer and cameraman 171 Composer, musicist and singer 172 Choreographer and dancer 173 Actor and scene director 174 Producer (theater, cinema, and radio-television) 175 Circus artist 179 Other musicist, actor, dancer, and similar artists 180 Athlete, sportsmen and similar 191 Librarian, archivist and museum conservationist 192 Sociologist, anthropologist and similar specialist 193 Social worker 194 Personnel relations and information professional 195 Philologer, translator and interpreter 199 Other workers in scientific, technical, liberal fields 201 Member of the legislative body 202 Higher levels of the public administrative 211 General director 212 Production director 219 Other director and manager 300 Office head 310 Administrative agent 321 Stenographer, dactylographer and teletypist 322 Perforation machine operator 331 Assistant accountant, accountant employee and cashier 339 Other assistant accountant, accountant employee and cashier 341 Operator of accounting machines and calculators 342 Operator of machines for the automatic treatment of data 351 Train station chief 352 Post office chief 359 Other chief of transportation and communication 360 Conductor and receiver 370 Delivery person and messenger 380 Telephone and telegraph operator 391 Provisioning employee 392 Planning and scheduling agent 393 Administrative services employee 394 Receptionist, hostess and travel agent 395 Library employee and archivist 398 Village head 399 Other office employee 400 Director 410 Owners managing bulk and unit commerce 411 Window dresser 412 Peddler 413 Wood seller 421 Head of sales 422 Buyer 431 Commercial, technical agent, and commercial inspector 432 Traveling salesman 441 Insurance agent, realtor and stock broker 442 Sales agent 443 Auctioneer 451 Sales clerk, commerce employee and demonstrator 452 Peddler, door-to-door salesman, and newspaper salesman 490 Other commercial personnel 500 Hotel, coffee shop or restaurant director 510 Hotel, coffee shop or restaurant owner 511 Small restaurant owner 520 Quartermaster, treasurer and similar worker 531 Cook 532 Server, bartender and similar workers 533 Kitchen help 540 Other household employee 541 Boy 542 Nurse 543 Personal custodian 544 Personal gardener 545 Personal driver 551 Dwelling custodian 552 Cleaning crew 560 Launderer, cleaner, ironing person 570 Hair dresser, beautician and similar worker 571 Hair dresser 581 Fireman 582 Public and private law enforcement office 583 Guards of the republic 589 Other security personnel 591 Guide 592 Funeral home manager and embalmer 598 Orderly 599 Other specialized position in the funeral services 600 Director and head of farming properties 611 General-purpose farming owner 612 Specialized farming owner 613 Stockbreeder 615 Gardener farming his own garden 622 Field and vegetable farmer 623 Arboriculturist 624 Stockbreeder (excluding dairy cows) 625 Dairy cow stockbreeder 626 Poultry famer 627 Nursery gardener 628 Farming machines builder 629 Other farm worker 631 Logger 632 Forestry worker, except loggers 633 Coalman 641 Fisherman 642 Hunter 643 Gatherer 649 Other fisherman, hunter, gatherer 650 Agricultural framing monitor 700 Supervisor and similar worker 711 Miners and carriers 712 Workers for the treatment of minerals and rocks 713 Well digger and similar worker 714 Shaft sinker 715 Gold washer 716 Sand owner 721 Metal smelting, furnace worker 722 Roller 723 Second fusion furnace and re-heating oven worker 724 Metal pourer 725 Sand molder and searcher for nuggets 726 Thermal treatment of metals worker 727 Metal trafilor and drawer 728 Electroplastic and metallic coating worker 729 Other metal treatment worker 731 Wood treatment worker 732 Roller 733 Paper paste preparer 734 Paper worker 741 Crushers, grinders and mixers 742 Monitor of furnaces and thermal equipment 743 Monitor of filtering equipment 744 Monitor of distillation and reaction equipment 745 Monitor of oil refinery 749 Other monitors of furnaces and chemical equipment 750 Weaving craftsman 751 Fiber preparer 752 Spinner and winder 753 Weaving and knitting regulator, and boxer 754 Weaver and similar worker 755 Hosiery knitting worker 756 Laundering, dying and refining craftsmen of textile products 757 Dying craftsman 758 Combing craftsman 759 Other textile craftsman 761 Tanner, leather seller, leather dresser 762 Leather store owner 771 Miller and grains worker 772 Sugar production and refinement worker 773 Butcher and meat worker 774 Tanner and preservation worker 775 Dairy worker 776 Baker, pastry maker and confectioner 777 Tea, coffee and cacao preparation worker 778 Brewer and producer of wine and similar beverages 779 Other food or beverage worker 781 Tobacco preparer 782 Cigar maker 783 Cigarette maker 789 Other tobacco worker 791 Tailor and dressmaker 792 Fur craftsman and similar worker 793 Fashion worker and hatter 794 Pattern maker and cutter 795 Binder 796 Tapestry maker and similar worker 798 Mattress maker 799 Other tailor, dressmaker, tapestry worker 801 Shoe and boot repairer 802 Shoe maker 803 Leather worker 811 Cabinetmaker 812 Wood machine worker 819 Other cabinet maker, carpenter worker 820 Stone engraver 830 Blacksmith 831 Blacksmith, hammer, and forge monitor 832 Toolmaker, modeler, and tracer 833 Toolmaking machine regulator 834 Toolmaking machine conductor 835 Conductor of the metal polishing and sharpening equipment 839 Other metal shapers and forge worker 841 Machine assembler and installer 842 Watch-maker and precision mechanic 843 Motor vehicle mechanic 844 Air vehicle mechanic 845 Bicycle and motorcycle repairman 849 Other machine assembler, installer and precision mechanic (excluding electricians) 851 Electrician 852 Electronics specialist 853 Electric and electronic equipment installer 854 Radio and television break-down mechanic 855 Installation electrician 856 Telephone and telegraph installer 857 Electric lines installer 859 Other electrician, electronics specialist and similar worker 861 Radio and television operator 862 Cinema sound and projection equipment operator 871 Plumber and pipe-maker 872 Welder and oxydable 873 Sheet-iron merchant and ironmonger 874 Framework and metallic structure installer 880 Jeweler and goldsmith 891 Glass blower, molder, cutter, shaper and polisher 892 Potter and similar worker 893 Glass and ceramic furnace conductor 894 Engraver of glass products 895 Painter decorator on glass and ceramic 899 Other glassmakers, potters and similar workers 901 Foam rubber and plastic materials maker 902 Pneumatic maker and vulcanizator 910 Paper and cotton products maker 921 Compositors and typesetters 922 Printing pressmen 924 Printing engravers 926 Bookbinders and related workers 929 Printers and related workers, n.e.c. 931 Painters, construction 939 Painters, n.e.c. 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Non-metallic mineral product makers 949 Other production and related workers 951 Bricklayers, stonemasons and tile setters 952 Reinforced-concreters, cement finishers and terrazzo workers 953 Roofers 954 Carpenters, joiners and parquetry workers 957 Glaziers 959 Construction workers, n.e.c. 969 Stationary engine and related equipment operators 971 Dockers and freight handlers 972 Riggers and cable splicers 973 Crane and hoist operators 974 Earth-moving and related machinery operators 979 Material-handling equipment operators, n.e.c. 981 Ships' deck ratings, barge crews and boatmen 982 Ships' engine-room ratings 983 Railway engine drivers and firemen 984 Railway brakemen, signalmen and shunters 985 Motor vehicle drivers 986 Animal and animal-drawn vehicle drivers 989 Transport equipment operators, n.e.c. 991 Laborers, n.e.c. 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Occupation recode <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v=" ML87A423 ML87A424" a="all">20. Main economic activity practiced<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A420 ML87A421 ML87A422 ML87A424 ML87A425 ML87A426"><span class="em">[Questions] 18 - 22. Economic Activity:</span><br /><br />Questions 18 to 22 have to do with the economic activity of the people enumerated, i.e, their occupation. To fill in their forms pay careful attention to the following directions:<br /><div class="i1">a. Only ask these question of household members who are 6 years and older. Put a dash or a hyphen (-) for those less than 6 years old.</div><br /><br /><span class="pg">[Page 32]</span><br /><br /><div class="i1">b. To obtain information on economic activity use the month (30 days) prior to the census interview as the point of reference.</div><br /><br />However, for people who work in the agricultural sector (farming, breeding animals, fishing and forestry) this reference period is brought to [illegible] 12 months, taking into account the seasonal nature of employment in this sector. Rural work is carried out during a fixed period which does not correspond to the date of the census.<br /></svar></p> <p><svar v=" ML87A423 ML87A424" a="all">20. Principal employment (pertains only to the employed working population)<br /><br />This is the principal job in the last month of the person being interviewed. Ask the following question: "What job did you work at over the last month?" (for workers in the agricultural sector record the normal activities: farming, animal breeding, fishing, forestry).<br /><br />For those people who declare more than one job, ask:<br /><br /><span class="pg">[Page 34]</span><br /><br />"Which job did you spend more time at?" If the answer to this question is not enough then ask "[Which of] the two pays you the most?" and write down the answer.<br /><br />Please note: put a dash or a hyphen for the non-working population, the unemployed and those aged less than 6 years.<br /></svar> Mali 1987: Unverifiable This variable identifies the occupation recode of each person. This is a 3-digit numeric variable with 0 implied decimal places Work: Occupation Variables -- PERSON Occupation last month <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v=" ML87A423 ML87A424" a="all">20. Main economic activity practiced<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A420 ML87A421 ML87A422 ML87A424 ML87A425 ML87A426"><span class="em">[Questions] 18 - 22. Economic Activity:</span><br /><br />Questions 18 to 22 have to do with the economic activity of the people enumerated, i.e, their occupation. To fill in their forms pay careful attention to the following directions:<br /><div class="i1">a. Only ask these question of household members who are 6 years and older. Put a dash or a hyphen (-) for those less than 6 years old.</div><br /><br /><span class="pg">[Page 32]</span><br /><br /><div class="i1">b. To obtain information on economic activity use the month (30 days) prior to the census interview as the point of reference.</div><br /><br />However, for people who work in the agricultural sector (farming, breeding animals, fishing and forestry) this reference period is brought to [illegible] 12 months, taking into account the seasonal nature of employment in this sector. Rural work is carried out during a fixed period which does not correspond to the date of the census.<br /></svar></p> <p><svar v=" ML87A423 ML87A424" a="all">20. Principal employment (pertains only to the employed working population)<br /><br />This is the principal job in the last month of the person being interviewed. Ask the following question: "What job did you work at over the last month?" (for workers in the agricultural sector record the normal activities: farming, animal breeding, fishing, forestry).<br /><br />For those people who declare more than one job, ask:<br /><br /><span class="pg">[Page 34]</span><br /><br />"Which job did you spend more time at?" If the answer to this question is not enough then ask "[Which of] the two pays you the most?" and write down the answer.<br /><br />Please note: put a dash or a hyphen for the non-working population, the unemployed and those aged less than 6 years.<br /></svar> Mali 1987: Economically active persons age 6+ [discrepancies: type I none; type II 0.4%] This variable identifies the occupation status from the last month for each person. 011 Chemist 012 Physicist 013 Physicist-chemist specialist 014 Physicist-chemist technician 021 Architect and urbanist 022 Civil engineer 023 Electrical engineer 024 Mechanic engineer 025 Chemical engineer 026 Mining engineer 027 Metallurgical engineer 028 Organizational engineer 029 Other engineer 031 Geometrician 032 Designer 033 Civil engineering technician 034 Electrical engineer technician 035 Mechanic engineer technician 036 Chemical engineer technician 037 Metallurgical engineer technician 038 Mining engineer technician 039 Other engineer technician 041 Airplane pilot 042 Officer pilot (sea and river navigation) 043 Officer mechanic (sea and river navigation) 051 Biologist, zoologist and similar activities 052 Bacteriologist, zoologist and similar activities 053 Agronomist and similar activities 054 Technician for biological and bacteriological sciences 061 Physician and surgeon 062 Medical assistant 063 Dentist 064 Dental assistant 065 Veterinarian 066 Veterinary assistant 067 Pharmacist 068 Pharmacy assistant 069 Dietician and specialties 071 Registered nurse 072 Other nurse 073 Registered midwife 074 Other midwife 075 Optometrician and optic 076 Physiotherapist and ergotherapist 077 Radiology technician 078 Traditional healer 079 Other physician, dentist, veterinarian and similar workers 082 Mathematician and actuary 083 Systems analyst 084 Statistics and mathematics technician 090 Economist 110 Accountant 121 Lawyer, procurator and counsel 122 Judge 129 Other lawyer 131 University and superior education professor 132 Secondary degree education personnel 133 Primary degree education personnel 134 Preschool education personnel 135 Special education personnel 139 Other education personnel 141 Clergy member of an organized religion 142 Koranic master 143 Imam 144 Marabout 145 Muezzin 146 Missionary 149 Other member of the clergy 151 Author and critic 159 Author, journalist and other writers 161 Sculptor, painter and similar artists 162 Decorator, window dresser, designer and similar worker 163 Photographer and cameraman 171 Composer, musicist and singer 172 Choreographer and dancer 173 Actor and scene director 174 Producer (theater, cinema, and radio-television) 175 Circus artist 179 Other musicist, actor, dancer, and similar artists 180 Athlete, sportsmen and similar 191 Librarian, archivist and museum conservationist 192 Sociologist, anthropologist and similar specialist 193 Social worker 194 Personnel relations and information professional 195 Philologer, translator and interpreter 199 Other workers in scientific, technical, liberal fields 201 Member of the legislative body 202 Higher levels of the public administrative 211 General director 212 Production director 219 Other director and manager 300 Office head 310 Administrative agent 321 Stenographer, dactylographer and teletypist 322 Perforation machine operator 331 Assistant accountant, accountant employee and cashier 339 Other assistant accountant, accountant employee and cashier 341 Operator of accounting machines and calculators 342 Operator of machines for the automatic treatment of data 351 Train station chief 352 Post office chief 359 Other chief of transportation and communication 360 Conductor and receiver 370 Delivery person and messenger 380 Telephone and telegraph operator 391 Provisioning employee 392 Planning and scheduling agent 393 Administrative services employee 394 Receptionist, hostess and travel agent 395 Library employee and archivist 398 Village head 399 Other office employee 400 Director 410 Owners managing bulk and unit commerce 411 Window dresser 412 Peddler 413 Wood seller 421 Head of sales 422 Buyer 431 Commercial, technical agent, and commercial inspector 432 Traveling salesman 441 Insurance agent, realtor and stock broker 442 Sales agent 443 Auctioneer 451 Sales clerk, commerce employee and demonstrator 452 Peddler, door-to-door salesman, and newspaper salesman 490 Other commercial personnel 500 Hotel, coffee shop or restaurant director 510 Hotel, coffee shop or restaurant owner 511 Small restaurant owner 520 Quartermaster, treasurer and similar worker 531 Cook 532 Server, bartender and similar workers 533 Kitchen help 540 Other household employee 541 Boy 542 Nurse 543 Personal custodian 544 Personal gardener 545 Personal driver 551 Dwelling custodian 552 Cleaning crew 560 Launderer, cleaner, ironing person 570 Hair dresser, beautician and similar worker 571 Hair dresser 581 Fireman 582 Public and private law enforcement office 583 Guards of the republic 589 Other security personnel 591 Guide 592 Funeral home manager and embalmer 598 Orderly 599 Other specialized position in the funeral services 600 Director and head of farming properties 611 General-purpose farming owner 612 Specialized farming owner 613 Stockbreeder 615 Gardener farming his own garden 622 Field and vegetable farmer 623 Arboriculturist 624 Stockbreeder (excluding dairy cows) 625 Dairy cow stockbreeder 626 Poultry famer 627 Nursery gardener 628 Farming machines builder 629 Other farm worker 631 Logger 632 Forestry worker, except loggers 633 Coalman 641 Fisherman 642 Hunter 643 Gatherer 649 Other fisherman, hunter, gatherer 650 Agricultural framing monitor 700 Supervisor and similar worker 711 Miners and carriers 712 Workers for the treatment of minerals and rocks 713 Well digger and similar worker 714 Shaft sinker 715 Gold washer 716 Sand owner 721 Metal smelting, furnace worker 722 Roller 723 Second fusion furnace and re-heating oven worker 724 Metal pourer 725 Sand molder and searcher for nuggets 726 Thermal treatment of metals worker 727 Metal trafilor and drawer 728 Electroplastic and metallic coating worker 729 Other metal treatment worker 731 Wood treatment worker 732 Roller 733 Paper paste preparer 734 Paper worker 741 Crushers, grinders and mixers 742 Monitor of furnaces and thermal equipment 743 Filter and separator operators 744 Monitor of distillation and reaction equipment 745 Monitor of oil refinery 749 Other monitors of furnaces and chemical equipment 750 Weaving craftsman 751 Fiber preparer 752 Spinner and winder 753 Weaving and knitting regulator, and boxer 754 Weaver and similar worker 755 Hosiery knitting worker 756 Laundering, dying and refining craftsmen of textile products 757 Dying craftsman 758 Combing craftsman 759 Other textile craftsman 761 Tanner, leather seller, leather dresser 762 Leather store owner 771 Miller and grains worker 772 Sugar production and refinement worker 773 Butcher and meat worker 774 Tanner and preservation worker 775 Dairy worker 776 Baker, pastry maker and confectioner 777 Tea, coffee and cacao preparation worker 778 Brewer and producer of wine and similar beverages 779 Other food or beverage worker 781 Tobacco preparer 782 Cigar maker 783 Cigarette maker 789 Other tobacco worker 791 Tailor and dressmaker 792 Fur craftsman and similar worker 793 Fashion worker and hatter 794 Pattern maker and cutter 795 Binder 796 Tapestry maker and similar worker 798 Mattress maker 799 Other tailor, dressmaker, tapestry worker 801 Shoe and boot repairer 802 Shoe maker 803 Leather worker 811 Cabinetmaker 812 Wood machine worker 819 Other cabinetmaker, carpenter worker 820 Stone engraver 830 Blacksmith 831 Blacksmith, hammer, and forge monitor 832 Toolmaker, modeler, and tracer 833 Toolmaking machine regulator 834 Toolmaking machine conductor 835 Conductor of the metal polishing and sharpening equipment 839 Other metal shapers and forge worker 841 Machine assembler and installer 842 Watch-maker and precision mechanic 843 Motor vehicle mechanic 844 Air vehicle mechanic 845 Bicycle and motorcycle repairman 849 Other machine assembler, installer and precision mechanic (excluding electricians) 851 Electrician 852 Electronics specialist 853 Electric and electronic equipment installer 854 Radio and television break-down mechanic 855 Installation electrician 856 Telephone and telegraph installer 857 Electric lines installer 859 Other electrician, electronics specialist and similar worker 861 Radio and television operator 862 Cinema sound and projection equipment operator 871 Plumber and pipe-maker 872 Welder and oxydable 873 Sheet-iron merchant and ironmonger 874 Framework and metallic structure installer 880 Jeweler and goldsmith 891 Glass blower, molder, cutter, shaper and polisher 892 Potter and similar worker 893 Glass and ceramic furnace conductor 894 Engraver of glass products 895 Painter decorator on glass and ceramic 899 Other glassmakers, potters and similar workers 901 Foam rubber and plastic materials maker 902 Pneumatic maker and vulcanizator 910 Paper and cotton product maker 921 Compositors and typesetters 922 Printing pressmen 924 Printing engravers 926 Bookbinders and related workers 929 Printers and related workers, n.e.c. 931 Painters, construction 939 Painters, n.e.c. 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Non-metallic mineral product makers 949 Other production and related workers 951 Bricklayers, stonemasons and tile setters 952 Reinforced-concreters, cement finishers and terrazzo workers 953 Roofers 954 Carpenters, joiners and parquetry workers 957 Glaziers 959 Construction workers, n.e.c. 969 Stationary engine and related equipment operators 971 Dockers and freight handlers 972 Riggers and cable splicers 973 Crane and hoist operators 974 Earth-moving and related machinery operators 979 Material-handling equipment operators, n.e.c. 981 Ships' deck ratings, barge crews and boatmen 982 Ships' engine-room ratings 983 Railway engine drivers and firemen 984 Railway brakemen, signalmen and shunters 985 Motor vehicle drivers 986 Animal and animal-drawn vehicle drivers 989 Transport equipment operators, n.e.c. 990 Laborers, n.e.c. 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Principal branch of employment last month <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v="ML87A425" a="all">21. Principal branch of employment<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A420 ML87A421 ML87A422 ML87A424 ML87A425 ML87A426"><span class="em">[Questions] 18 - 22. Economic Activity:</span><br /><br />Questions 18 to 22 have to do with the economic activity of the people enumerated, i.e, their occupation. To fill in their forms pay careful attention to the following directions:<br /><div class="i1">a. Only ask these question of household members who are 6 years and older. Put a dash or a hyphen (-) for those less than 6 years old.</div><br /><br /><span class="pg">[Page 32]</span><br /><br /><div class="i1">b. To obtain information on economic activity use the month (30 days) prior to the census interview as the point of reference.</div><br /><br />However, for people who work in the agricultural sector (farming, breeding animals, fishing and forestry) this reference period is brought to [illegible] 12 months, taking into account the seasonal nature of employment in this sector. Rural work is carried out during a fixed period which does not correspond to the date of the census.<br /></svar></p> <p><svar v="ML87A425" a="all">21. Principal branch of employment<br /><br />This corresponds to the economic sector in which a working person has declared his/her principal work. Ask household members aged 6 and older the following question: "What type of production was the area you worked in, either modern or traditional, involved in?"<br /><br />For example: Restaurant, pottery, farming, factory, store, Niger Office, SONATAM, Sada Diallo Factory, Total, Shell, civil service, etc.<br /><br />NB: this is the employment of the workplace<br /></svar> Mali 1987: Economically active persons age 6+ [discrepancies: type I none; type II 0.4%] This variable identifies the principal branch of employment for each person. 01 Agriculture, husbandry, fishing, forestry 02 Handicraft, blacksmith 03 Extracting industry 04 Manufacturing industry 05 Trade 06 Bank, insurance 07 Construction 08 Electricity, gas, water 09 Transport, communication 10 Private services 11 Public service 12 Other services 13 International organizations 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON Work status (in main activity last month) <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A422 ML87A425 ML87A426">For individuals 6 years of age and older.<br />[Questions 14-22]<br /></svar></p> <p><svar v="ML87A426" a="all">22. Work status in main activity<br /><div class="i1">____</div><br /></svar> <svar v="ML87A416 ML87A417 ML87A418 ML87A419 ML87A420 ML87A421 ML87A422 ML87A425 ML87A426"><span class="em">1.2.2 QUESTIONS FOR PEOPLE AGED 6 AND OLDER</span><br />This is the second group of questions related to the characteristics of the household members. It relates only to persons aged 6 and older. Put a dash or a hyphen (-) for persons of less than 6 years in questions 14 to 25.<br /></svar></p> <p><svar v="ML87A420 ML87A421 ML87A422 ML87A424 ML87A425 ML87A426"><span class="em">[Questions] 18 - 22. Economic Activity:</span><br /><br />Questions 18 to 22 have to do with the economic activity of the people enumerated, i.e, their occupation. To fill in their forms pay careful attention to the following directions:<br /><div class="i1">a. Only ask these question of household members who are 6 years and older. Put a dash or a hyphen (-) for those less than 6 years old.</div><br /><br /><span class="pg">[Page 32]</span><br /><br /><div class="i1">b. To obtain information on economic activity use the month (30 days) prior to the census interview as the point of reference.</div><br /><br />However, for people who work in the agricultural sector (farming, breeding animals, fishing and forestry) this reference period is brought to [illegible] 12 months, taking into account the seasonal nature of employment in this sector. Rural work is carried out during a fixed period which does not correspond to the date of the census.<br /></svar></p> <p><svar v="ML87A426" a="all">22. Status in main employment<br /><br />The status in the main job of an employed member of the working population is his status with respect to other persons at his/her place of employment. Ask the following question: "What is your position in the main job?" Depending on the answer you receive, fill in column 22 as follows:<br /><div class="i1">- P for owner (any person who works for himself in a trade and employs one or several paid employees).<br />- SG for paid government worker (persons who work for the government and are paid in<br />exchange).</div><br /><br /><span class="pg">[Page 35]</span><br /><div class="i1">- SP for paid employee in the private sector (a person who works for an employer in a private company) and receives in exchange either pay or room and board. Include servants and paid family helpers in this category.<br />- I for Independent (a person who works for himself/herself and who does not employ any paid workers).<br />- AF: Unpaid family helpers (a person who does a given minimum of work without pay with a relative of the household. Include young people and children who help their parents in the field, and in many other jobs);<br />- AP: Apprentice (a person who is learning a trade);<br />- AUT: Other. This is for members of the working population who do not fall into the preceding categories. Put [a dash or hyphen] in column 21 for the non-working population, the unemployed and those aged less than 6 years.</div><br /></svar> Mali 1987: Economically active persons age 6+ [discrepancies: type I none; type II 0.4%] This variable identifies the work status (in main activity) of each person. 1 Employer 2 Salaried, public sector 3 Salaried, private sector 4 Independent, self employed 5 Family aid, unpaid 6 Apprentice 7 Others 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Marital status <svar v="ML87A427">For individuals 12 years of age and older.<br /></svar></p> <p><svar v="ML87A427" a="all">23. Marital status<br /><div class="i1">_</div><br /></svar> <svar v="ML87A427"><span class="em">1.2.3 QUESTIONS FOR PEOPLE AGED 12 AND OLDER </span><br /><br />This category is related to household members (men and women) aged 12 years or more. Put a dash or a hyphen for those aged less than 12 years.<br /></svar></p> <p><svar v="ML87A427" a="all">23. Marital Status<br /><br />A person's marital status is his/her state with respect to marriage and in relation to the laws and customs of the country. It divides the population into: single, married, widowed or divorced. Ask household members aged 12 or more the following question about their marital status: "have you ever been married?"<br /><br />Then write the following in column 23 according to the answer you receive:<br /><div class="i1">- CEL for single (a person who has never married);<br />- MA for married (a person who has been married at least once, and who is currently in at least one of the marriages). But you should indicate the following for MA:</div><br /><div class="i2">a. For men: the current number of wives.<br />Example: MA2 for a married man currently married to 2 wives<br />MA3 for a married man currently married to 3 wives<br />b. For women: the number of marriages already contracted, including the current one.<br />Example: MA1 for a woman who is in her first marriage<br /> MA2 for a woman who is in her second marriage, etc.</div><br /><div class="i1">- VEU for widow(er) (a person whose only and last existing marriage was dissolved by death.<br />- DIV for divorced (a person whose only and last existing marriage was dissolved by divorce)</div><br /><br /><span class="pg">[Page 36]</span><br /><br />Marital status always refers to the individual's present status, or to his/her last status.<br /><br />Special cases:<br /><div class="i1">a. A man married to two wives whose first wife died and who is divorced from his second wife should be recorded as DIV.<br />b. A man who was previously married to 2 wives but who lost one of them due to death should be recorded as married to one wife (MA1).<br />c. A man married to 3 wives but who has divorced one wife and whose other wife has died is recorded as married to one wife. [He is recorded as] MAR because there is still an existing marriage.<br />d. A married man with just one wife, whose wife recently died, is recorded as widowed: VEU.</div><br /></svar> Mali 1987: Persons age 12+ [discrepancies: type I none; type II trace] This variable indentifies the marital status of each person. 1 Single (never married) 2 Monogamous (man), first marriage (woman) 3 Polygamous 2 wives (man), second marriage (woman) 4 Polygamous 3 wives (man), third marriage (woman) 5 Polygamous 4 wives (man), fourth marriage (woman) 6 Widowed 7 Divorced 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Children ever born <svar v="ML87A428 ML87A429">For women 12 years of age and older.<br />[Questions 24-25]<br /></svar></p> <p><svar v="ML87A428" a="all">24. Total number of children ever born<br /><div class="i1">_ _</div><br /></svar> <svar v="ML87A428 ML87A429"><span class="em">1.2.4 QUESTIONS FOR WOMEN AGED 12 AND OLDER</span><br /><br />The questions under this heading are only for women aged 12 and older. Put a dash or a hyphen for all men, regardless of age, and for women less than 12.<br /></svar></p> <p><svar v="ML87A428" a="all">24. Total live births<br /><br />This is total live births by each woman aged 12 and older. Ask each of these women the number of live children she has given birth to.<br /><br />A live birth is one where the baby has cried or given some sign of life after birth. Include in this number live births of legitimate as well as illegitimate births, whether they are from the woman's current marriage or from a previous marriage, and whether the children are living or not at the time of the census. Make sure that the following categories are enumerated:<br /><div class="i1">- Children who died young<br />- Children who have left their parents home<br />- A woman's child/children from a previous marriage</div><br /><br />However, the following categories should not be included on the Housing Form:<br /><div class="i1">- Still-born children, who are children who did not manifest any sign of life at birth or were born prematurely.<br />- Adoptive children and grandchildren.</div><br /></svar> Mali 1987: Females age 12+ [discrepancies: type I none; type II trace] This variable describes the number of children ever born to a person. 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 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving <svar v="ML87A428 ML87A429">For women 12 years of age and older.<br />[Questions 24-25]<br /></svar></p> <p><svar v="ML87A429" a="all">25. Total number of children surviving<br /><div class="i1">_ _</div><br /></svar> <svar v="ML87A428 ML87A429"><span class="em">1.2.4 QUESTIONS FOR WOMEN AGED 12 AND OLDER</span><br /><br />The questions under this heading are only for women aged 12 and older. Put a dash or a hyphen for all men, regardless of age, and for women less than 12.<br /></svar></p> <p><svar v="ML87A429" a="all">25. Surviving children<br /><br />Once you have gotten the total number of live births for each woman, ask [a] question about "the number of children still alive".<br /><br /><span class="pg">[Page 37]</span><br />This total should include the children born from the current marriage of the woman as well as her children born to a previous marriage.<br /><br />It should include living children currently living at home and children who have left home.<br /></svar> Mali 1987: Females age 12+ [discrepancies: type I none; type II trace] This variable identifies the number of children surviving. 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 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON