General Household Survey, 2006-07 DDI_NGA_2006_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 Household Survey, 2006-07 - IPUMS Subset PHC ng2006a (IPUMS Harmonized Subset) NGA_2006_PHC_v01_M_v7.6_A_IPUMS National Bureau of Statistics IPUMS (c) Copyright 2006, National Bureau of Statistics and Minnesota Population Center National Bureau of Statistics 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 Fertility and Mortality Variables -- PERSON Utilities Variables -- HOUSEHOLD Work Variables -- PERSON Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Other Person Variables -- PERSON Fertility and Mortality Variables -- PERSON ---- March 3, 2007 to March 26, 2007 Nigeria State Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: no UNIT DESCRIPTIONS: - Dwellings: Any building or structure with an entrance. It may be occupied by persons, be vacant, or uncompleted. - Households: A household consists of a person or a group of persons living together under the same roof or in the same building/compound, who eat from the same pot and recognize themselves as a unit. - Group quarters: A housing unit occupied largely by persons not related by blood. Examples include school hostels where children from different parents live during the school session, hotels where travelers and holidaymakers or people on business stay for a short period of time. Institutional housing units usually contain more rooms than residential buildings. ---- Sample survey data [ssd] Additional notes on a sample that is part of this study: Nigeria 2006-2007 Note: Household survey MICRODATA SOURCE: National Bureau of Statistics SAMPLE SIZE (person records): 83700. SAMPLE DESIGN: The sample followed a two-stage, replicated and rotable design in which enumeration areas (EAs) demarcated for the 1991 Population Census served as the primary sampling units and housing units (HUs) as the secondary sampling units. Sixty EAs per state and 30 EAs in the Federal Capital Territory, Abuja were randomly selected. In each EA, 10 households were selected randomly from a list of all households in the EA. In total, 21,900 housing units from 2,190 enumeration areas were included in the sample. The selected EAs were distributed across urban and rural areas. Face-to-face [f2f] A single form with eleven sections: A) Housing unit identification and conditions, B) Persons present in the household, C) Usual resident absent, D) Contraceptive prevalence, E) Births in the last 12 months, F) National programme on immunization, G) Child nutrition, H) Deaths in the last 12 months, I) Health, J) Household enterprises, and K) Household expenditure. de jure, CENSUS DAY: ---- Weights computed by statistical agency should be used for most types of analysis. 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. National Bureau of Statistics 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: Nigeria, National Bureau of Statistics. General Household Survey, 2006-07 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 ng2006a, 2025 NGA2006_PHC-H-H.dat Household records 18,298 ascii Minnesota Population Center Version 7.5, IPUMS sample NGA2006_PHC-P-H.dat Person records 83700 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 Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD 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 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 Nigeria, State 2006 - 2010 [Level 1; consistent boundaries, GIS] GEO1_NG identifies the household's state within Nigeria in all sample years. States are the first level administrative units of the country. GEO1_NG is spatially harmonized to account for political boundary changes across census years; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_NG can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Nigeria 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. 566001 Abia 566002 Adamawa 566003 Akwa Ibom 566004 Anambra 566005 Bauchi 566006 Bayelsa 566007 Benue 566008 Borno 566009 Cross River 566010 Delta 566011 Ebonyi 566012 Edo 566013 Ekiti 566014 Enugu 566015 Gombe 566016 Imo 566017 Jigawa 566018 Kaduna 566019 Kano 566020 Katsina 566021 Kebbi 566022 Kogi 566023 Kwara 566024 Lagos 566025 Nasarawa 566026 Niger 566027 Ogun 566028 Ondo 566029 Osun 566030 Oyo 566031 Plateau 566032 Rivers 566033 Sokoto 566034 Taraba 566035 Yobe 566036 Zamfara 566037 Federal Capital Territory Abuja 566099 Unknown Geography: F-N Variables -- HOUSEHOLD Nigeria, State 2006 [Level 1, GIS] GEO1_ NG2006 identifies the household's state within Nigeria in 2006. States are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ NG2006 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Nigeria 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. 001 Abia 002 Adamawa 003 Akwa Ibom 004 Anambra 005 Bauchi 006 Bayelsa 007 Benue 008 Borno 009 Cross River 010 Delta 011 Ebonyi 012 Edo 013 Ekiti 014 Enugu 015 Gombe 016 Imo 017 Jigawa 018 Kaduna 019 Kano 020 Katsina 021 Kebbi 022 Kogi 023 Kwara 024 Lagos 025 Nasarawa 026 Niger 027 Ogun 028 Ondo 029 Osun 030 Oyo 031 Plateau 032 Rivers 033 Sokoto 034 Taraba 035 Yobe 036 Zamfara 037 Federal Capital Territory Abuja Geography: F-N Variables -- HOUSEHOLD Nigeria, Zone ZONENG indicates the household's zones within Nigeria in all sample years. ZONENG is harmonized by name and does not account for boundary changes over time. The full set of geography variables for Nigeria 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. 1 North Central 2 North East 3 North West 4 South East 5 South South 6 South West 9 Unknown Geography: F-N Variables -- HOUSEHOLD DHS-IPUMS-I Nigeria regions, 2006-2013 [consistent boundaries, GIS] DHS_IPUMSI_NG provides geographic codes for Nigeria 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_NG indicate the major administrative unit in which the household was enumerated or surveyed. GIS shapefiles for Nigeria can be downloaded here. 01 Sokoto 02 Zamfara 03 Katsina 04 Jigawa 05 Yobe 06 Borno 07 Adamawa 08 Gombe 09 Bauchi 10 Kano 11 Kaduna 12 Kebbi 13 Niger 14 Abuja 15 Nasarawa 16 Plateau 17 Taraba 18 Benue 19 Kogi 20 Kwara 21 Oyo 22 Osun 23 Ekiti 24 Ondo 25 Edo 26 Anambra 27 Enugu 28 Ebonyi 29 Cross River 30 Akwa Ibom 31 Abia 32 Imo 33 Rivers 34 Bayelsa 35 Delta 36 Lagos 37 Ogun 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 Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Cellular phone availability CELL indicates the availability of a cellular phone in the household. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Internet access INTERNET indicates whether or not the household had an internet connection. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown Utilities Variables -- HOUSEHOLD Trash disposal This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner. 00 NIU (not in universe) 10 Collected by a sanitation service 11 Collected directly from the household or dwelling 12 Collected indirectly from a garbage container or deposit 13 Collected by a sanitation service only 14 Collected by a sanitation service and disposed of in some other manner 20 Disposed of in some other manner 21 Burned or buried 22 Burned 23 Buried 24 Thrown into street, vacant land, or common area 25 Thrown into river, lake, ocean, lagoon, etc. 26 Thrown into canyon or gulley 27 Dumped in pit 28 Communal refuse dump 29 Own refuse dump 30 Authorized refuse dump 31 Illegal refuse dump 32 Other dumping 33 Outside 34 In the fields 35 Fed to animals 36 Composted 37 Heap 38 Garden 39 Other, none 99 Unknown/missing Utilities Variables -- HOUSEHOLD Computer COMPUTER indicates whether the household had a personal computer. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD 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 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 Nigeria 2006: All records This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Nigeria 2006: All records This variable indicates the number of persons in the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 17 17 19 19 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Nigeria 2006: All records This variable indicates that the dwelling was created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Zone <span class="h2">Part A: Identification</span></p> <p>1. State _ _ <br />2. LGA _ _ <br />3. RIC _ _ _ _ <br />4. EA code _ _ _ _ <br />5. Enumeration area name ____ <br />6. Sector _ <br />7. HU No _ _ <br />8. Name of head of HH ____ <br />9. Address ____ Nigeria 2006: All households This variable indicates the zone of the household. 1 North Central 2 North East 3 North West 4 South East 5 South South 6 South West Geography: F-N Variables -- HOUSEHOLD Urban-rural <span class="h2">Part A: Identification</span></p> <p>1. State _ _ <br />2. LGA _ _ <br />3. RIC _ _ _ _ <br />4. EA code _ _ _ _ <br />5. Enumeration area name ____ <br />6. Sector _ <br />7. HU No _ _ <br />8. Name of head of HH ____ <br />9. Address ____ Q6. Sector: The code of each of the sector within a state is one digit. Enter one for urban and two for rural. Nigeria 2006: All households This variable indicates the urban-rural status of the household. 1 Urban 2 Rural Geography: F-N Variables -- HOUSEHOLD Response status 10. Response status</p> <div class="i1">[] 1 Completed<br />[] 2 Partly completed<br />[] 3 Not at home<br />[] 4 Refused<br />[] 5 Household not located<br />[] 6 Moved away<br />[] 7 Other (specify)</div> Q10. Response status: <br />The response options listed are: Completed =1, Partly completed = 2, Not at home = 3; Refused = 4, Household not located = 5, and Moved away = 6. The column for response status should be completed at the end of interview by shading the appropriate bubble. (Only one option should be shaded.) Nigeria 2006: All households This variable indicates the response status. 1 Completed 2 Partly completed 3 Not at home 4 Refused 5 Household not located 6 Moved away 7 Others 9 Unknown Technical Household Variables -- HOUSEHOLD Household number within housing unit Questionnaire Ref. No: <br />HH No. within HU _ of _ Q11. Questionnaire reference number: </p> <div class="i1">Q11. Household within housing unit: <br />This box is to be completed to indicate number of households within housing unit being canvassed. For one household in the housing unit, enter 1 of 1<br /><br />For two households in the housing unit, enter 1 of 2 for the first and 2 of 2 for the second household and so on.<br /> <br /> Q11B. Questionnaire within HH: Each questionnaire has been designed to seek information on 15 members of the household. If there are more than 15 members of the household, additional questionnaire(s) will be required. For 15-member household enter 1 of 1.<br /><br />But for more than 15-member household, enter 1 of 2 in the first questionnaire, and 2 of 2 will be entered in second questionnaire.</div><span class="pg">Pg. 22</span><div class="i1">However if three sets are used, enter 1 of 3 in the first questionnaire, 2 of 3 in the second questionnaire and 3 of 3 in third questionnaire.</div> Nigeria 2006: All households This variable indicates the household number within the housing unit. 00 0 01 1 02 2 03 3 04 4 07 7 08 8 09 9 99 Unknown Technical Household Variables -- HOUSEHOLD Number of households in housing unit Questionnaire Ref. No: <br />HH No. within HU _ of _ Q11. Questionnaire reference number: </p> <div class="i1">Q11. Household within housing unit: <br />This box is to be completed to indicate number of households within housing unit being canvassed. For one household in the housing unit, enter 1 of 1<br /><br />For two households in the housing unit, enter 1 of 2 for the first and 2 of 2 for the second household and so on.<br /> <br /> Q11B. Questionnaire within HH: Each questionnaire has been designed to seek information on 15 members of the household. If there are more than 15 members of the household, additional questionnaire(s) will be required. For 15-member household enter 1 of 1.<br /><br />But for more than 15-member household, enter 1 of 2 in the first questionnaire, and 2 of 2 will be entered in second questionnaire.</div><span class="pg">Pg. 22</span><div class="i1">However if three sets are used, enter 1 of 3 in the first questionnaire, 2 of 3 in the second questionnaire and 3 of 3 in third questionnaire.</div> Nigeria 2006: All households This variable indicates the number of households within the housing unit. 00 0 01 1 02 2 03 3 04 4 06 6 07 7 08 8 09 9 99 Unknown Technical Household Variables -- HOUSEHOLD Main water source 12. Major source of water for drinking and cooking</p> <div class="i1">[] 1 Pipe borne water treated<br />[] 2 Pipe borne water untreated<br />[] 3 Bore hole/hand pump<br />[] 4 Well/spring protected<br />[] 5 Well/spring unprotected<br />[] 6 Rain water<br />[] 7 Streams/pond/river<br />[] 8 Tanker/truck/vendor<br />[] 9 Other ____</div> Q12. Major Source of water for cooking and drinking: <br />Different sources of water for drinking (type of water supply) have been listed and pre-coded 1-8. Shade the one that is most commonly used for drinking and cooking in that household.</p> <p>If there is any other type apart from the options listed, you should specify it under 'others' which is code 9. Nigeria 2006: All households This variable indicates the household's main source of water for drinking and cooking. 01 Treated pipe-borne water 02 Untreated pipe-borne water 03 Bore hole hand pump 04 Protected well spring 05 Unprotected well spring 06 Rain water 07 Stream, pond, or river 08 Tanker truck vendor 09 Other 99 Unknown Utilities Variables -- HOUSEHOLD Distance to water source 13. Distance to source of water</p> <div class="i1">[] 1 In dwelling<br />[] 2 Within 500m<br />[] 3 500-1km<br />[] 4 1km or more</div> Q13. Distance to source of water: <br />Four major categories of distance to source of water are listed below, you are to shade the appropriate option: In dwelling = 1, Within 500 metres = 2, 500 metres -- 1km = 3, 1km or more = 4 Nigeria 2006: All households This variable indicates the distance between the dwelling and the main water source. 01 In dwelling 02 Within 500m 03 500 to 1 km 04 1 km or more 99 Unknown Utilities Variables -- HOUSEHOLD Type of housing unit 14. Type of housing unit</p> <div class="i1">[] 1 Single room<br />[] 2 Flat<br />[] 3 Duplex<br />[] 4 Whole building<br />[] 5 Other ____</div> Q14. Types of housing unit: <br />A list of type of housing unit has been provided and pre-coded.</p> <p>You only need to shade the code which applies to appropriate type of housing unit occupied by the respondent. Nigeria 2006: All households This variable indicates the type of housing unit. 01 Single room 02 Flat 03 Duplex 04 Whole building 05 Other 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Number of living rooms in the housing unit 15. Number of living rooms in housing unit _ _ Q15. Number of living Rooms in Housing Unit: <br />The number of rooms in the HU that the household use for relaxation and sleeping, including the visitor's room(s).</p> <p>You are to find out the number of living rooms in the housing unit and enter the number in the box provided. If the number given is less than ten (10), start with a leading zero e.g. 01, 02, etc. Nigeria 2006: All households This variable indicates the number of living rooms in the housing unit. 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+ 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Monthly rent for housing unit in Naira 16. Monthly rent (in =N=) for housing unit: _ _ _ _ _ _ Q16. Monthly Rent in Naira: <br />Find how much in Naira, the HH pays monthly for the HU. If the household is living on owner-occupier or pays no rent at all, or pays nominal or subsidized rent, find out how much ordinarily the type of HU goes for in the neighbourhood and enter the inputted rent. If the rent is N506.00 enter it as 00506</p> <p>In addition, if you are given an annual rent amount, divide it by 12 to get the monthly rent. Nigeria 2006: All households This variable indicates the monthly rent for housing unit in Naira. This is a 6-digit numeric variable with 0 implied decimal places Household Economic Variables -- HOUSEHOLD Tenure status 17. Tenure</p> <div class="i1">[] 1 Normal rent<br />[] 2 Free<br />[] 3 Nominal/subsidized rent<br />[] 4 Owner occupier</div> Q17. Tenure: <br />There are four major categories of tenure. You are to shade the appropriate bubble.</p> <div class="i1">Tenure (Rent status):<br />Rent status has been divided into four groups namely:</div><p> </p> <div class="i2">(a) Normal rents: This refer to an occupier paying the amount normally paid as rent in the area where he's living, for the same number and types of rooms occupied.</div><span class="pg">Pg. 24</span><div class="i2">(b) Rent Free: Where the occupier pays no rent for the apartment occupied, e.g. a family house. <br /><br />(c) Nominal /Subsidized Rent: Where the occupier pays rent which is below what others pay in the same area. The rent may be due to the relationship between the landlord and the occupier.<br /><br />(d) Owner Occupier: In this case, the house is occupied by the owner.</div> Nigeria 2006: All households This variable indicates the tenure status of the household. 01 Normal rent 02 Free 03 Nominal subsidized rent 04 Owner occupied 99 Unknown Household Economic Variables -- HOUSEHOLD Floor material 18. Material of dwelling floor:</p> <div class="i1">[] 1 Wood/tile<br />[] 2 Planks/concrete<br />[] 3 Dirt/straw/without concrete<br />[] 4 Other (specify)</div> Q18. Material for dwelling: <br />Ask for/ observe the type of material used for the floor of the rooms and shade.</p> <p>However, three major types of dwelling floor are listed and pre-coded, shade appropriately. If there is other type of floor material used other than those listed, shade the bubble '4' and specify. Nigeria 2006: All households This variable indicates the material of the floor of the dwelling. 1 Wood or tile 2 Planks or concrete 3 Dirt or straw without concrete 4 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Toilet facility 19. Toilet facilities</p> <div class="i1">[] 1 None<br />[] 2 Toilet on water<br />[] 3 Flush to sewage<br />[] 4 Flush to septic tank<br />[] 5 Pail/bucket<br />[] 6 Covered pit latrine<br />[] 7 Uncovered pit latrine<br />[] 8 V.I.P. latrine<br />[] 9 Other ____</div> Q19. Toilet facilities: <br />There are eight major categories of toilet facilities. You are to shade the appropriate bubble. If there is another type of toilet facility different from those listed, shade 9 under 'others' and specify. Nigeria 2006: All households This variable indicates the type of toilet facility used by the household. 01 None 02 Toilet on water 03 Flush to sewage 04 Flush to septic tank 05 Pail bucket 06 Covered pit latrine 07 Uncovered pit latrine 08 Ventilated improved pit (VIP) latrine 09 Other 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Distance to toilet facility 20. Distance of toilet facility from the dwelling:</p> <div class="i1">[] 1 In dwelling<br />[] 2 Within 500m<br />[] 3 500-1km<br />[] 4 1km or more</div> Q20. Distance of toilet facilities from the dwellings: <br />There are four major categories of distance to toilet from the dwelling. Shade the appropriate option. Nigeria 2006: All households This variable indicates the distance between the dwelling and the toilet facility used by the household. 1 In dwelling 2 Within 500m 3 500m to 1 km 4 1 km or more 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Refuse disposal 21. Type of refusal disposal most often used:</p> <div class="i1">[] 1 HH bin collected by government<br />[] 2 HH bin collected private agency<br />[] 3 Government bin or shed<br />[] 4 Disposal within compound<br />[] 5 Unauthorized refuse heap<br />[] 6 Other ____</div> Q21. Types of refuse disposal most often used: <br />There are five types of refuse disposal listed, Shade the type most often used by the household. If there is any other type apart from those listed, you should shade code 6 'others' and specify. Nigeria 2006: All households This variable indicates the type of refuse disposal most often used in the household. 1 Household bin collected by government 2 Household bin collected by private agency 3 Government bin or shed 4 Disposal within compound 5 Unauthorized refuse heap 6 Other 9 Unknown Utilities Variables -- HOUSEHOLD Cooking fuel 22. Type of fuel used for cooking</p> <div class="i1">[] 1 Electricity<br />[] 2 Gas<br />[] 3 Kerosine<br />[] 4 Wood<br />[] 5 Coal</div> Q22. Type of fuel most commonly used for cooking: <br />Five types of fuel are listed. You should shade the main type most commonly used by the household. Nigeria 2006: All households This variable indicates type of fuel used by the household for cooking. 1 Electricity 2 Gas 3 Kerosene 4 Wood 5 Coal 9 Unknown Utilities Variables -- HOUSEHOLD Electricity supply 23. Electricity supply</p> <div class="i1">[] 1 PHCN (NEPA) only<br />[] 2 Rural electrification only<br />[] 3 Private generator only<br />[] 4 PHCN (NEPA) / generator<br />[] 5 Rural electricity / generator<br />[] 6 None</div> Q23. Electricity supply: <br />Types of electricity supply have been listed and pre-coded. You are to shade the appropriate code. If however there is no electricity supply at all in the housing unit, shade 6. Nigeria 2006: All households This variable indicates the source of the household's electricity supply. 1 PHCN-NEPA only (Power Holding Company of Nigeria) 2 Rural electrification only 3 Private generator only 4 PHCN-NEPA generator 5 Rural electricity generator 6 None 9 Unknown Utilities Variables -- HOUSEHOLD Radio 24. Information and communication technology (ICT)</p> <p>Radio</p> <div class="i1">[] 1 Own<br />[] 2 Access<br />[] 3 None</div> Q24. Information and Communication Technology (ICT): <br /> Some information and communication equipment have been listed. Ask the respondent if he or she or any member of the household owns, has access to or does not have any of the gadgets listed and shade the appropriate bubble. For each item, only one option must be chosen. Nigeria 2006: All households This variable indicates whether the household owns or has access to a radio. 1 Own 2 Access 3 None 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television 24. Information and communication technology (ICT)</p> <p>Television</p> <div class="i1">[] 1 Own<br />[] 2 Access<br />[] 3 None</div> Q24. Information and Communication Technology (ICT): <br /> Some information and communication equipment have been listed. Ask the respondent if he or she or any member of the household owns, has access to or does not have any of the gadgets listed and shade the appropriate bubble. For each item, only one option must be chosen. Nigeria 2006: All households This variable indicates whether the household owns or has access to a television. 1 Own 2 Access 3 None 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Fixed telephone 24. Information and communication technology (ICT)</p> <p>Telephone (fixed)</p> <div class="i1">[] 1 Own<br />[] 2 Access<br />[] 3 None</div> Q24. Information and Communication Technology (ICT): <br /> Some information and communication equipment have been listed. Ask the respondent if he or she or any member of the household owns, has access to or does not have any of the gadgets listed and shade the appropriate bubble. For each item, only one option must be chosen. Nigeria 2006: All households This variable indicates whether the household owns or has access to a fixed telephone. 1 Own 2 Access 3 None 9 Unknown Utilities Variables -- HOUSEHOLD Mobile telephone 24. Information and communication technology (ICT)</p> <p>Telephone (mobile)</p> <div class="i1">[] 1 Own<br />[] 2 Access<br />[] 3 None</div> Q24. Information and Communication Technology (ICT): <br /> Some information and communication equipment have been listed. Ask the respondent if he or she or any member of the household owns, has access to or does not have any of the gadgets listed and shade the appropriate bubble. For each item, only one option must be chosen. Nigeria 2006: All households This variable indicates whether the household owns or has access to a mobile telephone. 1 Own 2 Access 3 None 9 Unknown Utilities Variables -- HOUSEHOLD Personal computer 24. Information and communication technology (ICT)</p> <p>Personal computer (PC)</p> <div class="i1">[] 1 Own<br />[] 2 Access<br />[] 3 None</div> Q24. Information and Communication Technology (ICT): <br /> Some information and communication equipment have been listed. Ask the respondent if he or she or any member of the household owns, has access to or does not have any of the gadgets listed and shade the appropriate bubble. For each item, only one option must be chosen. Nigeria 2006: All households This variable indicates whether the household owns or has access to a personal computer. 1 Own 2 Access 3 None 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Internet service 24. Information and communication technology (ICT)</p> <p>Internet service</p> <div class="i1">[] 1 Own<br />[] 2 Access<br />[] 3 None</div> Q24. Information and Communication Technology (ICT): <br /> Some information and communication equipment have been listed. Ask the respondent if he or she or any member of the household owns, has access to or does not have any of the gadgets listed and shade the appropriate bubble. For each item, only one option must be chosen. Nigeria 2006: All households This variable indicates whether the household owns or has access to internet service. 1 Own 2 Access 3 None 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of visits Nigeria 2006: All households This variable indicates the number of visits to the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 27 27 30 30 61 61 62 62 63 63 71 71 81 81 91 91 99 Unknown Technical Household Variables -- HOUSEHOLD Raising factor, household records Nigeria 2006: All households This variable indicates the raising factor for Hweight for household records. This is a 8-digit numeric variable with 4 implied decimal places Technical Household Variables -- HOUSEHOLD Adjustment factor, household records Nigeria 2006: All households This variable indicates the adjustment factor for Hweight for household records. 138 138 158 158 164 164 165 165 176 176 177 177 179 179 187 187 190 190 191 191 196 196 199 199 203 203 209 209 212 212 218 218 219 219 222 222 229 229 230 230 232 232 241 241 243 243 248 248 268 268 272 272 275 275 290 290 294 294 298 298 310 310 322 322 330 330 361 361 413 413 496 496 536 536 000 Unknown Technical Household Variables -- HOUSEHOLD Hweight, household records Nigeria 2006: All households This variable indicates Hweight for household records. Hweight is the product of the raising factor and adjustment factor. This is a 7-digit numeric variable with 2 implied decimal places Technical Household Variables -- HOUSEHOLD Hweight1, household records Nigeria 2006: All households This variable indicates Hweight1 for household records. Hweight1 is a factor of HHweight. 043893 43893 053062 53062 053650 53650 056159 56159 072926 72926 073938 73938 075919 75919 077207 77207 078775 78775 079399 79399 081434 81434 089504 89504 095843 95843 100373 100373 102691 102691 108669 108669 111685 111685 114019 114019 114984 114984 115843 115843 117431 117431 118519 118519 120272 120272 120843 120843 124484 124484 126588 126588 131632 131632 134856 134856 141226 141226 155181 155181 173801 173801 197045 197045 220886 220886 226348 226348 236669 236669 270869 270869 373171 373171 000000 Unknown Technical Household Variables -- HOUSEHOLD Adjustment factor 1, household records Nigeria 2006: All households This variable indicates the adjustment factor for HHweight for household records. 0097 97 0108 108 0126 126 0127 127 0130 130 0131 131 0132 132 0134 134 0135 135 0136 136 0137 137 0138 138 0139 139 0140 140 0141 141 0142 142 0144 144 0145 145 0147 147 0148 148 0150 150 0154 154 0155 155 0158 158 0161 161 0188 188 0687 687 1231 1231 0000 Unknown Technical Household Variables -- HOUSEHOLD HHweight, household records Nigeria 2006: All households This variable indicates HHweight for household records. HHweight is a product of Adjustment factor 1 and Hweight1. This weight was computed by the national statistical agency and should be used for most types of analysis of household records. 0000000 Unknown 0058816 58816 0073226 73226 0075815 75815 0083158 83158 0098053 98053 0099180 99180 0104009 104009 0106679 106679 0109571 109571 0116822 116822 0118162 118162 0120763 120763 0122790 122790 0128886 128886 0138010 138010 0138633 138633 0158590 158590 0163229 163229 0164347 164347 0165327 165327 0166727 166727 0167111 167111 0171121 171121 0171789 171789 0178002 178002 0191495 191495 0217488 217488 0228116 228116 0229417 229417 0255602 255602 0316887 316887 0317242 317242 0331329 331329 0507513 507513 0509234 509234 0795839 795839 1374847 1374847 Technical Household Variables -- HOUSEHOLD Number of fertility records Nigeria 2006: All households This variable indicates the number of fertility records. 0 0 1 1 2 2+ 9 Unknown Other Household Variables -- HOUSEHOLD Number of mortality records Nigeria 2006: All households This variable indicates the number of mortality records. 0 0 1 1 2 2 4 4 9 Unknown Other 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 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 Age at first marriage or union AGEMARR indicates the person's age at first marriage or consensual union. 00 NIU (not in universe) 10 10 or younger 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 Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children ever born CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children ever born CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children surviving CHSURVF indicates the number of female children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children surviving CHSURVM indicates the number of male children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children dead CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown/missing 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children dead CHDEADFEM indicates the number of female children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Female children ever born" and "Female children surviving" variables. That is not done in CHDEADFEM, which includes only the samples that directly reported the information in the appropriate form. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children dead CHDEADMALE indicates the number of male children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Male children ever born" and "Male children surviving" variables. That is not done in CHDEADMALE, which includes only the samples that directly reported the information in the appropriate form. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children in household HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children in household HOMEFEM indicates the number of female children born living in the household with their mother (the respondent). 00 None 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 17 17 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children in household HOMEMALE indicates the number of male children born living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children living elsewhere AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census. 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 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children living elsewhere AWAYFEM indicates the number of surviving biological female children not living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children living elsewhere AWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Nigeria EDUCNG indicates the person's educational attainment in Nigeria in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 200 Nursery 201 Nursery, pre-class 202 Nursery, year 1 203 Nursery, year 2 204 Nursery, year unknown 301 Primary, year 1 302 Primary, year 2 303 Primary, year 3 304 Primary, year 4 305 Primary, year 5 306 Primary, year 6 310 Lower 6 400 Junior Secondary School (JSS) 401 Junior Secondary School, year 1 402 Junior Secondary School, year 2 403 Junior Secondary School, year 3 410 Modern school 420 Senior Secondary School (SSS) 421 Senior Secondary School, year 1 422 Senior Secondary School, year 2 423 Senior Secondary School, year 3 430 Upper 6 510 Teacher training 520 Vocational or technical 530 National certificate of education (NCE) 610 A-Level or National Diploma (ND) 620 Bachelor or Higher National Diploma (HND) 630 Post-graduate 700 Other 710 Quranic 720 Quranic integrated 730 Adult education 998 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 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 Has a secondary or additional jobs WRKADD indicates whether the respondent has more than one job. 1 No, only 1 job 2 Yes, has 2+ jobs 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Sector of employment EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked. 00 NIU (not in universe) 10 Public 20 Private 21 Private, not elsewhere classified 22 Individual/family enterprise, and self-employed 23 Foreign 30 Mixed: public-private or parastatal 40 Collective or cooperative 50 Foreign government or non-governmental organization 60 Other, unspecified 61 Canal zone 62 Faith-based organization 63 Informal sector 99 Unknown Work Variables -- PERSON Usual hours worked per week HRSUSUAL1 indicates the usual number of hours the respondent works in a typical week across all jobs or in their main job. 000 0 hours 001 1 hour 002 2 hours 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140+ hours 997 Inconsistent or irregular work schedule 998 Unknown 999 NIU (Not in universe) Work Variables -- PERSON Usual hours worked per week, categorized HRSUSUAL2 indicates the usual number of hours the respondent worked per week at all jobs or in their main job, categorized into intervals. 0 None 1 1 to 14 hours (except ca1971) 2 15 to 29 hours (except de1970, ca1971) 3 30 to 39 hours (except de1970) 4 40-48 hours (except il1972-1995, ca1971, pt1991-2011) 5 49 hours or more (except il1972 and ca1971) 7 Inconsistent or irregular work schedule 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Hours worked in main occupation HRSMAIN indicates the number of hours the respondent worked per week in jobs related to their primary occupation. 000 0 hours 001 1 hour 002 2 hours 003 3 hours 004 4 hours 005 5 hours 006 6 hours 007 7 hours 008 8 hours 009 9 hours 010 10 hours 011 11 hours 012 12 hours 013 13 hours 014 14 hours 015 15 hours 016 16 hours 017 17 hours 018 18 hours 019 19 hours 020 20 hours 021 21 hours 022 22 hours 023 23 hours 024 24 hours 025 25 hours 026 26 hours 027 27 hours 028 28 hours 029 29 hours 030 30 hours 031 31 hours 032 32 hours 033 33 hours 034 34 hours 035 35 hours 036 36 hours 037 37 hours 038 38 hours 039 39 hours 040 40 hours 041 41 hours 042 42 hours 043 43 hours 044 44 hours 045 45 hours 046 46 hours 047 47 hours 048 48 hours 049 49 hours 050 50 hours 051 51 hours 052 52 hours 053 53 hours 054 54 hours 055 55 hours 056 56 hours 057 57 hours 058 58 hours 059 59 hours 060 60 hours 061 61 hours 062 62 hours 063 63 hours 064 64 hours 065 65 hours 066 66 hours 067 67 hours 068 68 hours 069 69 hours 070 70 hours 071 71 hours 072 72 hours 073 73 hours 074 74 hours 075 75 hours 076 76 hours 077 77 hours 078 78 hours 079 79 hours 080 80 hours 081 81 hours 082 82 hours 083 83 hours 084 84 hours 085 85 hours 086 86 hours 087 87 hours 088 88 hours 089 89 hours 090 90 hours 091 91 hours 092 92 hours 093 93 hours 094 94 hours 095 95 hours 096 96 hours 097 97 hours 098 98 hours 099 99 hours 100 100 hours 101 101 hours 102 102 hours 103 103 hours 104 104 hours 105 105 hours 106 106 hours 107 107 hours 108 108 hours 109 109 hours 110 110 hours 111 111 hours 112 112 hours 113 113 hours 114 114 hours 115 115 hours 116 116 hours 117 117 hours 118 118 hours 119 119 hours 120 120 hours 121 121 hours 122 122 hours 123 123 hours 124 124 hours 125 125 hours 126 126 hours 127 127 hours 128 128 hours 129 129 hours 130 130 hours 131 131 hours 132 132 hours 133 133 hours 134 134 hours 135 135 hours 136 136 hours 137 137 hours 138 138 hours 139 139 hours 140 140+ hours 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Hours worked outside of main occupation HRSADD indicates the number of hours the respondent typically worked per week in jobs unrelated to their primary occupation. Time spent outside of the workplace in work-related tasks was to be included; time set aside for meals was to be excluded. Comparable information for the person's primary occupation can be found in the variable HRSMAIN. 00 No hours 01 1 hour 02 2 hours 03 3 hours 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+ hours 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Would like to work more hours WRKMORE indicates whether the respondent wanted to work additional hours. 1 Yes, would like to work more hours 2 No, the same or less hours 8 Unknown 9 NIU (Not in universe) Work Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Person number (within household) Nigeria 2006: All records This variable indicates the person number (within household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 Technical Person Variables -- PERSON Person ID Nigeria 2006: All persons This variable indicates the person ID. 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 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 76 76 77 77 78 78 79 79 80 80 81 81 91 91 92 92 93 93 94 94 95 95 96 96 Technical Person Variables -- PERSON Relationship to head <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>1. Relationship to head</p> <div class="i1">[] 1 Head<br />[] 2 Spouse<br />[] 3 Own child<br />[] 4 Step child<br />[] 5 Grand child<br />[] 6 Brother/sister<br />[] 7 Niece/nephew<br />[] 8 Brother/sister-in-law<br />[] 9 Parent<br />[] 10 Parent-in-law<br />[] 11 Other relative<br />[] 12 Maid/nanny/house servant<br />[] 13 Non-relative</div> <span class="em">Col. 1: Relationship to head:</span> <br />The first column should always be coded (01) since the head of the household should always be listed in the first column, regardless of whether or not the head is present at the time of interview, each household must have one and only one head. Other members should be identified in one of thirteen categories.</p> <p>How each member listed in the household is related to the head of the household should be indicated against each person's name in column 1. Where there are more than one wife in the household, the first wife will </p> <p><span class="pg">Pg. 27</span></p> <p>be listed first, followed by her children and then the second wife, followed by her children in that order. Nigeria 2006: All persons This variable indicates the person’s relationship to the household head. 01 Head 02 Spouse 03 Own child 04 Step child 05 Grand child 06 Brother or sister 07 Niece or nephew 08 Brother- or sister-in-law 09 Parent 10 Parent-in-law 11 Other relative 12 Maid, nanny or house servant 13 Non-relative Demographic Variables -- PERSON Residence status <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>2. Residence status</p> <div class="i1">[] 1 Usually resident in HH<br />[] 2 Not usually resident in HH</div> <span class="em">Col.2: Residence Status:</span> <br />A member of the household could either be described as usually resident or not usually resident in the household. Circle code 1 for "usually resident in HH", or code 2 for "not usually resident in HH" as may be applicable. A usual resident is expected to live or has been living in the household for at least 6 months. Nigeria 2006: All persons This variable indicates the person’s residence status. 1 Usually resident in household 2 Not usually resident in household 9 Unknown Demographic Variables -- PERSON Age last birthday <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>3. Age (last birthday) _ _ <span class="em">Col.3: Age last birthday:</span> <br />Fill in the age [in completed years] for every member of household. If one's age is 12 years and 10 months, you will fill 12 years for the person. For a person who is 99 years or above, write 98 years for such person. Nigeria 2006: All persons This variable indicates the person’s age last birthday. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 95 95 96 96 97 97 98 98 99 99 Demographic Variables -- PERSON Sex <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>4. Sex</p> <div class="i1">[] 1 Male<br />[] 2 Female</div> <span class="em">Col.4: Sex:</span> <br /> Shade 1 for male and 2 for female. Ensure that code 1 and 2 are not shaded at the same time for a person. Nigeria 2006: All persons This variable indicates the person’s sex. 1 Male 2 Female Demographic Variables -- PERSON Marital status <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>5. Marital status</p> <div class="i1">[] 1 Married<br />[] 2 Divorced<br />[] 3 Separated<br />[] 4 Widowed<br />[] 5 Never married</div> <span class="em">Col. 5: Marital Status:</span> <br />The marital status is pre-coded below in 5 categories, shade which ever is applicable: Married = 1, Divorced = 2, Separated = 3, Widow = 4 and Never married = 5. Ensure that no member is left blank. Nigeria 2006: All persons This variable indicates the person’s marital status. 1 Married 2 Divorced 3 Separated 4 Widowed 5 Never married Demographic Variables -- PERSON Form of marriage <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>6. If married, what form of marriage?</p> <div class="i1">[] 1 Ordinance<br />[] 2 Customary<br />[] 3 Mutual agreement</div> <span class="em">Col. 6: Form of Marriage:</span> <br />For a person who is married, the form of marriage is categorised into three,namely: Ordinance = 1, Customary = 2, and Mutual Agreement = 3. Record appropriately. Nigeria 2006: Persons who are married [discrepancies: type I 2.8%; type II 0.9%] This variable indicates the person’s form of marriage. 1 Ordinance 2 Customary 3 Mutual agreement 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Attendance at formal school <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>7. Attendance at formal school</p> <div class="i1">[] 1 Never<br />[] 2 Now in school<br />[] 3 Before but not now</div> <span class="em">Col. 7: Attendance at Formal school:</span> <br />This is in three categories such as, 'never in school', <br />'Now in school' and 'in school before but not now' precoded as 1, 2 and 3 respectively. Shade which ever is applicable. Nigeria 2006: All persons This variable indicates the person’s attendance at formal school. 1 Never 2 Now in school 3 Before but not now Education Variables -- PERSON Highest level reached <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>8. Highest level reached</p> <div class="i1">[] 1 Below primary<br />[] 2 Primary<br />[] 3 Secondary<br />[] 4 Post secondary</div> <span class="em">Col 8: Highest level of Education Reached:</span> <br />Four categories have been pre-coded: Below Pry = 1, Primary = 2, Secondary = 3 and Post Secondary =4. Shade which ever option is applicable. Nigeria 2006: Persons who ever attended school [discrepancies: type I 2.4%; type II 1.9%] This variable indicates the person’s highest level of education reached. 1 Below primary 2 Primary 3 Secondary 4 Post secondary 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Highest grade reached <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>0. Member number _ _ <span class="em">Col.9: Highest grade reached:</span> <br />A person must have actually finished a class or form. The HIGHEST CLASS/FORM is the last full class or form completed and not the present one being attended. For example, if the person is now in primary six (6) then the highest class completed is primary five (5). Someone currently attending JSS-3 would be recorded as having completed JSS-2. A doubles zero (00) code is used only for persons who are yet to complete nursery or primary one as the case may be. A person whose highest grade reached is preschool, and also someone who attended standard 1 but did not complete the year may be coded as N1 or N2 accordingly. Nigeria 2006: Persons who ever attended school [discrepancies: type I 0.9%; type II 0.8%] This variable indicates the person’s highest grade reached. 01 Pre-class 02 Nursery 1 03 Nursery 2 04 Primary 1 05 Primary 2 06 Primary 3 07 Primary 4 08 Primary 5 09 Primary 6 10 JSS 1 11 JSS 2 12 JSS 3 13 SSS 1 14 SSS 2 15 SSS 3 16 ALevels OND 17 BSC HND 18 Post graduate 19 Others 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Literacy in any language <span class="h2">Part B: Person(s) present in household (for all persons who slept in this household last night)</span></p> <p>10. Literacy in any language</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">3.3 Literacy:</span> <br />A person is literate if he can read and write in any language, and can carry out simple activities such as writing letters or engage in simple conversation in a language.</p> <p><span class="em">Col. 10: Literacy in any Language:</span> <br />Shade 1 if literate in any language, otherwise shade 2. If a person is literate, he or she can write and read in any language, and carry out simple activities such as writing letters, simple conversation, etc in that language. Nigeria 2006: All persons This variable indicates the person’s literacy in any language. 1 Yes 2 No 8 Unknown Education Variables -- PERSON Main job of previous week <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div> <span class="em">Col. 11: Main Job Previous Week:</span> <br />This implies the main work done last week. A list of such job is provided and coded 1 to 9. You should note the skip Instructions. Nigeria 2006: All persons This variable indicates the person’s main job of previous work. 1 Worked for pay 2 Had job but did not work 3 Worked for profit 4 On attachment but did not work 5 Apprenticeship 6 Kept home 7 Went to school 8 Did nothing Work Variables -- PERSON Reasons for doing nothing <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>12. If person did nothing, what was the reason?</p> <div class="i1">(If options 6-8 go to col. 42)<br /><br />[] 1 Looked for job<br />[] 2 Sick<br />[] 3 Believed no job available<br />[] 4 Laid off 30 days or less<br />[] 5 Waiting to join work<br />[] 6 Retired<br />[] 7 Invalid<br />[] 8 Others</div> <span class="em">Col. 12: If person did nothing previous week what was the reason:</span> <br />If the respondent did nothing in the previous week, you need to ask for the reason. Enter which code that is applicable. If however the reason for doing nothing is not among the 7 options listed, then shade 8 (others) and specify. Nigeria 2006: Persons age 10+ who did nothing the previous week [discrepancies: type I 0.7%; type II 2.6%] This variable indicates the person’s reasons for doing nothing. 01 Looked for job 02 Sick 03 Believed no job available 04 Laid off 30 days or less 05 Waiting to join work 06 Retired 07 Invalid 08 Others 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Length of unemployment <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>12. If person did nothing, what was the reason?</p> <div class="i1">(If options 6-8 go to col. 42)<br /><br />[] 1 Looked for job<br />[] 2 Sick<br />[] 3 Believed no job available<br />[] 4 Laid off 30 days or less<br />[] 5 Waiting to join work<br />[] 6 Retired<br />[] 7 Invalid<br />[] 8 Others</div><p>13. Length of unemployment</p> <div class="i1">(From the last paid work)<br /><br />[] 1 Less than 1 month<br />[] 2 Between 1 and 2 months<br />[] 3 Between 2 and 3 months<br />[] 4 Between 3 and 4 months<br />[] 5 More than 4 months<br />[] 6 Never had a paid work<br /><br />Next person</div> <span class="em">Col. 13: Length of Unemployment:</span> <br />If the person did nothing previous week and reasons for doing nothing is any of codes 1 to 6 in column 12, find out the number of months the person has been without job and enter this as the length of unemployment. Nigeria 2006: Persons age 10+ who did nothing the previous week and were not retired or invalid [discrepancies: type I 0.3%; type II 0.3%] This variable indicates the person’s length of unemployment. 1 Less than 1 month 2 Between 1 and 2 months 3 Between 2 and 3 months 4 Between 3 and 4 months 5 More than 4 months 6 Never had paid work 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Wants to change job <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>14. Do you like to change job?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">Col. 14: Do you like to change job:</span> <br />This question will ascertain whether someone attempted to change job. It is not sufficient for the person to have desired of new job, an affirmative response is only appropriate for person who actually attempted to change jobs. If the person did not seek to change job, the interviewer will shade/ bubble No (2) and skips to column 16. Nigeria 2006: Persons age 10+ who were economically active the previous week [discrepancies: type I 2.2%; type II 3.2%] This variable indicates if the person wants to change job. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Reason for wanting to change jobs <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>14. Do you like to change job?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div><p>15. Reason for the change</p> <div class="i1">[] 1 Low income in present job<br />[] 2 Job doesn't match skill<br />[] 3 Job environment not congenial<br />[] 4 Excessive hours of work<br />[] 5 Precarious job(s)<br />[] 6 Inadequate tools<br />[] 7 Equipment or training for assigned task<br />[] 8 Travel to work difficulties<br />[] 9 Inconvenient work schedules<br />[] 10 Recurring work stoppage<br />[] 11 Prolonged non wage payment</div> <span class="em">Col. 15: Reason for the change:</span> <br />This question is asked only from persons who wanted to change job(s). Probe to get accurate response(s) and fill in the code of the major reason in the spaced provided. Nigeria 2006: Persons age 10+ who were economically active the previous week and reported wanting to change jobs [discrepancies: type I 0.2%; type II 0.3%] This variable indicates the person’s reason for wanting to change jobs. 01 Low income in present job 02 Job does not match skill 03 Job environment not congenial 04 Excessive hours for work 05 Precarious job or jobs 06 Inadequate tools 07 Equipment or training for assigned task 08 Travel to work difficulties 09 Inconvenient work schedules 10 Recurring work stoppage 11 Prolonged non wage payment 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Industry of main job <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>16. Primary or main occupation _ _</p> <div class="i1">See occupational codes on page 10</div> <span class="em">Col. 17: Industry:</span> <br />Record the code of the industry where the respondent is working. The industries are Agric, Forestry and Fishing; Mining and Quarrying: Manufacturing; Electricity, Gas and water; construction; Whole/Retail Trade, Hotels and Restaurants, Transport, Storage and communications, Financing, Insurance, Real Estate, Business Services; Community, social and personnel services; activities not adequately defined. A nurse in Shell Company will be classified as in Mining and Quarrying industry, while a nurse in the General Hospital will be in community, social and personnel services industry. Nigeria 2006: Persons age 10+ who were economically active the previous week [discrepancies: type I 0.7%; type II 1.8%] This variable indicates the industry of the person's main job. 001 Agriculture, hunting and related services 002 Forestry, logging and related services 005 Fishing 010 Mining of coal and ignite, extraction of peat 011 Extraction of crude petroleum 012 Mining of uranium and thorium ores 013 Mining of metal ores 014 Other mining and quarrying 015 Manufacturing of food products and beverages 016 Manufacturing of tobacco products 017 Manufacturing of textiles 018 Manufacturing of washing apparel, dressing and dying of fur 019 Trimming and dressing of leather, manufacture of luggage 020 Manufacture of wood and of products 021 Manufacture of paper and paper products 022 Publishing, printing and reproduction of recorded media 023 Manufacture of coke, refined petroleum products 024 Manufacture of chemical and chemical products 025 Manufacture of rubber and plastic products 026 Manufacture of non-metallic mineral products 027 Manufacture of basic metals 028 Manufacture of fabricated metal products 029 Manufacture of machinery and equipment not elsewhere classified. 030 Manufacture of office, accounting and computing machinery 031 Manufacture of electrical machinery and apparatus not elsewhere classified. 032 Manufacture of radio, television and communication equipment 033 Manufacture of medical, precision and optical instrument 034 Manufacture of motor vehicles, trailers and semi trailers 035 Manufacture of other transport equipment 036 Manufacture of furniture, manufacturing not elsewhere classified. 037 Recycling 040 Electricity, gas, stream and hot water supply 041 Collection, purification and distribution of water 045 Construction 050 Sale maintenance and repair of motor vehicles 051 Wholesale trade and commission trade 052 Retail trade, except of motor vehicles 055 Hotels and restaurants 060 Land transport and transport via pipe lines 061 Water transport 062 Air transport 063 Supporting and auxiliary transport activities 064 Post and telecommunications 065 Financial intermediation, except insurance 066 Insurance and pension funding 067 Activities auxiliary to financial intermediation 070 Real estate activities 071 Renting of machinery and equipment 072 Computer and related activities 073 Research and development 074 Other business activities 075 Public administration and defense 080 Education 085 Health and social work 090 Sewage and refuse disposal 091 Activities of membership organizations not elsewhere classified. 092 Recreational, cultural and sporting activities 093 Other service activities 095 Activities of private households as employers 096 Undifferentiated goods producing activities 097 Undifferentiated services producing activities 099 Extra territorial organizations and bodies 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Employment status <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>18. Employment status</p> <div class="i1">[] 1 Employer<br />[] 2 Employee<br />[] 3 Own account worker<br />[] 4 Members of producer coop.<br />[] 5 Unpaid family worker<br />[] 6 Others</div> <span class="em">2.9 Employment Status: </span> <br />This describes the working situation and personality engaged in employment. E.g</p> <div class="i1">(a) Employees:<br /> These are workers with employment contracts (explicit or implicit, written or oral), which give them a basic remuneration in cash (in form of wages, salaries, bonuses, commission from sales, piece rates etc) or in kind (in form of food, fuel, housing or training). These include paid apprentices and paid trainees, casual and seasonal workers, employees of producers' cooperative, etc whether in the private or public sector.<br /><br />(b) Employers: <br />These are those who work on their own account or with one or a few partners and they may engage on a continuous or regular basis, one or more persons to work for them in their business as employees. Their business may be a corporation or a household or unincorporated enterprise<br /><br />(c ) Own-Account workers:<br />This includes those who work on their own account or with one or more partners and do not engage any employee on a continuous</div><span class="pg">Pg. 11</span><div class="i1">or regular basis. However, they may engage employees as long as it is not on a regular or continuous basis and they may work with the help of (unpaid) contributing family members<br /><br />(d) Contributing Family Workers:<br />These are those who work in a market-oriented establishment operated by a relation living in the same household and are not partners in the business. They include young persons who work without pay in a business operated by a relation (e.g. uncle, grandmother) and may not necessarily live in the same household.<br /><br />(f) Others: <br />This is the residual category of workers who could not be classified under any of the group mentioned above.</div><span class="em">Col. 18: Employment Status:</span> <br />The employment status of an individual is any of options 1 to 5. You only need to shade the appropriate code of the respondent's employment status and shade bubble (6) for others. Nigeria 2006: Persons age 10+ who were economically active the previous week [discrepancies: type I 3.4%; type II 0.6%] This variable indicates the person’s employment status. 1 Employer 2 Employee 3 Own account worker 4 Member of producer coop 5 Unpaid family worker 6 Other 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Hours of work per week in primary job <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>19. Hours of work per week _ _ <span class="em">Col. 19: Hours of Work (Main Job):</span> <br />On the main job, state the number of hours (approximate) the respondent spends per week and enter it in the space provided. It attracts a code of two digits. Official working hours per week is 40 hours. Nigeria 2006: Persons age 10+ who were economically active the previous week [discrepancies: type 1 1.4%; type II 2.8%] This variable indicates the person’s hours of work per week in their primary job. 000 0 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 074 74 075 75 076 76 077 77 078 78 079 79 080 80 082 82 084 84 085 85 086 86 088 88 089 89 090 90 091 91 093 93 096 96 098 98 099 99 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Industrial sector <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>20. Institutional sector</p> <div class="i1">[] 1 Private company<br />[] 2 Public company<br />[] 3 Parastatals<br />[] 4 Ministries<br />[] 5 Others</div> <span class="em">Col. 20 Institutional Sector: </span> <br />Five codes were provided for institutional sector shade appropriately. Nigeria 2006: Persons age 10+ who were economically active the previous week [discrepancies: type I 2.5%; type II 3.9%] This variable indicates the person’s industrial sector. 1 Private company 2 Public company 3 Parastatals 4 Ministries 5 Other 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Contributes to National Health Insurance Scheme (NHIS) <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>21. Contribute to National Health Insurance Scheme (NHIS)?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">Col. 21 Contribution to Health Insurance Scheme (NHIS):</span> <br />A respondent can either contribute to NHIS or not, shade accordingly. Nigeria 2006: Persons age 10+ who were economically active the previous week [discrepancies: type I 4.7%; type II 4.0%] This variable indicates the person’s contribution to NHIS. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Secondary job <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>22. Secondary job _ _</p> <div class="i1">See occupational codes on page 10</div> <span class="em">Col. 22: Secondary Job:</span> <br />Any other economic activity engaged in by the respondent during the week apart from the main job is referred to as secondary job. Enumerator should carefully probe for secondary occupation. One way of finding out about secondary jobs is to ask how a person spends his/her time after his/her main occupation hours. If the respondent does not have secondary job, skip to col. 26. Nigeria 2006: Persons age 10+ who were economically active the previous week and had a second job [universe unverifiable] This variable indicates the person’s secondary job. 00 NIU (not in universe) 01 Agriculture, hunting and related service activities 02 Forestry, logging and related service activities 05 Fishing 10 Mining of coal and ignite, extraction of peat 11 Extraction of crude petroleum 12 Mining of uranium and thorium ores 13 Mining of metal ores 14 Other mining and quarrying 15 Manufacturing of food products and beverages 16 Manufacturing of tobacco products 17 Manufacturing of textiles 18 Manufacturing of washing apparel, dressing and dying of fur 19 Trimming and dressing of leather, manufacture of luggage 20 Manufacture of wood and of products 21 Manufacture of paper and paper products 22 Publishing, printing and reproduction of recorded media 23 Manufacture of coke, refined petroleum products 24 Manufacture of chemical and chemical products 25 Manufacture of rubber and plastic products 26 Manufacture of non-metallic mineral products 27 Manufacture of basic metals 28 Manufacture of fabricated metal products 29 Manufacture of machinery and equipment not elsewhere classified 30 Manufacture of office, accounting and computing machinery 31 Manufacture of electrical machinery and apparatus not elsewhere classified 32 Manufacture of radio, television and communication equipment 33 Manufacture of medical, precision and optical instrument 34 Manufacture of motor vehicles, trailers and semi trailers 35 Manufacture of other transport equipment 36 Manufacture of furniture, manufacturing not elsewhere classified. 37 Recycling 40 Electricity, gas, stream and hot water supply 41 Collection, purification and distribution of water 45 Construction 50 Sale maintenance and repair of motor vehicles 51 Wholesale trade and commission trade 52 Retail trade, except of motor vehicles 55 Hotels and restaurants 56 " 60 Land transport and transport via pipe lines 61 Water transport 62 Air transport 63 Supporting and auxiliary transport activities 64 Post and telecommunications 65 Financial intermediation, except insurance 66 Insurance and pension funding 67 Activities auxiliary to financial intermediation 70 Real estate activities 71 Renting of machinery and equipment 72 Computer and related activities 73 Research and development 74 Other business activities 75 Public administration and defense 80 Education 85 Health and social work 90 Sewage and refuse disposal 91 Activities of membership organizations not elsewhere classified 92 Recreational, cultural and sporting activities 93 Other service activities 95 Activities of private households as employers 96 Undifferentiated goods producing activities 97 Undifferentiated services producing activities 98 Extra territorial organizations and bodies 99 Unknown Work Variables -- PERSON Industry of secondary job <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>22. Secondary job _ _</p> <div class="i1">See occupational codes on page 10</div><p>23. Industry of secondary job _ _</p> <div class="i1">See industry codes on page 10</div> <span class="em">Col. 23: Industry of Secondary Job:</span> <br />The industry of the secondary job engaged in by the respondent during the previous week of the survey should be entered here. It should be noted however that household chores career done by a lady should not</p> <p><span class="pg">Pg. 32</span></p> <p>be considered as secondary job because she does not earn income from it. For persons without secondary job, leave the space blank and skip to col. 26. Nigeria 2006: Persons age 10+ who were economically active the previous week and had a second job [universe unverifiable] This variable indicates the person’s industry of secondary job. 01 Agriculture, hunting and forestry 02 Fishing 03 Mining and quarrying 04 Manufacturing 05 Electricity, gas and water supply 06 Construction 07 Wholesale and retail trade 08 Hotels and restaurant 09 Transport, storage and communication 10 Financial intermediation 11 Real estate, renting and business activities 12 Public administration and defense, compulsory social security 13 Education 14 Health and social work 15 Other community, social and personal service activities 16 Activities of private households 17 Extra territorial organizations and bodies 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Employment status in secondary job <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>22. Secondary job _ _</p> <div class="i1">See occupational codes on page 10</div><p>24. Employment status in the secondary job</p> <div class="i1">[] 1 Employer<br />[] 2 Employee<br />[] 3 Own account worker<br />[] 4 Producer coop. member<br />[] 5 Unpaid family worker<br />[] 6 Others</div> <span class="em">Col. 24: Employment Status:</span> <br />The employment status of an individual are listed and coded 1 to 5. Shade the appropriate code or shade bubble (6) for others and specify. Nigeria 2006: Persons age 10+ who were economically active the previous week and had a second job [universe unverifiable] This variable indicates the person’s employment status in their secondary job. 1 Employer 2 Employee 3 Own account worker 4 Member of producer cooperative 5 Unpaid family worker 6 Others 9 NIU (not in universe) Work Variables -- PERSON Hours of work per week in secondary job <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>22. Secondary job _ _</p> <div class="i1">See occupational codes on page 10</div><p>25. Hours of work per week _ _ <span class="em">Col. 25: Hours of Work in Secondary Job:</span> <br />Hours of work spent on secondary job should be recoded in two digit. Nigeria 2006: Persons age 10+ who were economically active the previous week and had a second job [universe unverifiable] This variable indicates the person’s hours of work per week in their secondary job. 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 56 56 57 57 59 59 60 60 62 62 63 63 68 68 70 70 72 72 75 75 77 77 80 80 82 82 84 84 88 88 98 98 99 NIU (not in universe) Work Variables -- PERSON Would work extra hours <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>19. Hours of work per week _ _</p> <p>25. Hours of work per week _ _</p> <p>Check: if Col. 19 + Col. 25 is 40 hours or more, go to col. 27, else [continue]</p> <p>26. If you are given extra hours will you do it?</p> <div class="i1">[] 1 Yes, voluntary<br />[] 2 No, involuntary</div> <span class="em">Col. 26: Extra Hour:</span> <br />If somebody is working for less than 40hrs in the combination of both primary ( main ) job and secondary occupation, ask whether she/he will do extra hours if given the opportunity and shade appropriately. Nigeria 2006: Persons age 10+ who were economically active the previous week and worked less than 40 hours in their primary and secondary jobs [discrepancies: type I 7.9%; type II 2.4%] This variable indicates whether if give extra hours, the person will work them. 1 Yes, voluntary 2 No, involuntary 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Engaged in voluntary or social work <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>27. Are you engaged in voluntary or social work?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">Col. 27: Voluntary or Social Work:</span> <br />Two codes are provided for voluntary or social work, which is classified as non profit institution. Ask if the respondent is engaged in voluntary or social activities and record 1 for yes and 2 for No. Nigeria 2006: Persons age 10+ who were economically active the previous week [discrepancies: type I 5.5%; type II 3.7%] This variable indicates if the person is engaged in voluntary or social work. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Area of volunteer work <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>27. Are you engaged in voluntary or social work?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div><p>28. In which area of volunteering?</p> <div class="i1">If yes in col. 27<br /><br />[] 1 Art and recreation<br />[] 2 Education/research<br />[] 3 Health<br />[] 4 Social services<br />[] 5 Environment<br />[] 6 Development and housing<br />[] 7 Civil advocacy<br />[] 8 Philanthropy<br />[] 9 Religion<br />[] 10 International<br />[] 11 Business/professional<br />[] 12 Other (specify)</div> <span class="em">Col. 28: Area of Volunteering:</span> <br />Eleven areas of volunteering have been provided for social or voluntary work. Write the appropriate code. Nigeria 2006: Persons age 10+ who are engaged in volunteer or social work [discrepancies: type I 1.1%; type II none] This variable indicates the person’s area of volunteer work. 01 Art and recreation 02 Education 03 Health 04 Social Services 05 Environment 06 Development and housing 07 Civil advocacy 08 Philanthropy 09 Religion 10 International 11 Business or professional 12 Other 99 NIU (not in universe) Other Person Variables -- PERSON Hours per week in volunteer or social work <span class="h2">Part B: Persons(s) present in household continued? (For persons age 10 years and above)</span> <br />[Applies to questions 11-63]</p> <p>11. Main job previous week</p> <div class="i1">(If options 1-5 go to Col. 14, and if options 6 or 7 go to next person)<br /><br />[] 1 Worked for pay<br />[] 2 Got job but did not work<br />[] 3 Worked for profit<br />[] 4 On attachment but didn't work<br />[] 5 Apprenticeship<br />[] 6 Kept home<br />[] 7 Went to school<br />[] 8 Did nothing</div><p>27. Are you engaged in voluntary or social work?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div><p>29. Hours of work per week _ _ <span class="em">Col. 29: Hours of work per week:</span> <br />This question is asked of all persons that are engaged in volunteering or social work. Nigeria 2006: Persons age 10+ who are engaged in volunteer or social work [discrepancies: type I 1.1%; type II 0.1%] This variable indicates the person’s hours per week in volunteer or social work. 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 24 24 25 25 26 26 27 27 28 28 30 30 32 32 33 33 34 34 35 35 36 36 37 37 38 38 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 52 52 54 54 55 55 56 56 60 60 62 62 75 75 82 82 85 85 90 90 92 92 95 95 98 Unknown 99 NIU (not in universe) Other Person Variables -- PERSON Started new building project last year <span class="em">Housing project (For persons age 20 years and above)</span> <br />[Applies to questions 64-67]</p> <p>64. Did you start any new building in 20..</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">Col 64-67 Housing Project: </span> <br />Only persons that are aged 20 years and above are eligible to answer the questions on housing project.</p> <p><span class="em">Col 64: Starting a new building project:</span> <br />Ask whether the eligible member of household started any new building project last year. Enter '1' if yes, otherwise enter '2' and skip to next person or next part. Nigeria 2006: Persons age 20+ [discrepancies: type I 3.9%; type II 11.9%] This variable indicates if the person started a new building project last year. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Type of building started <span class="em">Housing project (For persons age 20 years and above)</span> <br />[Applies to questions 64-67]</p> <p>64. Did you start any new building in 20..</p> <div class="i1">[] 1 Yes<br />[] 2 No</div><p>65. What is the type of building?</p> <div class="i1">[] 1 Residential<br />[] 2 Commercial<br />[] 3 Industrial<br />[] 4 Other</div> <span class="em">Col 64-67 Housing Project: </span> <br />Only persons that are aged 20 years and above are eligible to answer the questions on housing project.</p> <p><span class="em">Col 65: Type of building started:</span> <br />Indicate the type of building project that the household member started last year. Nigeria 2006: Persons age 20+ who started a new building project [discrepancies: type I 0.2%; type II 0.1%] This variable indicates the type of new building project started. 1 Residential 2 Commercial 3 Industrial 4 Other 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Stage of completion of building project <span class="em">Housing project (For persons age 20 years and above)</span> <br />[Applies to questions 64-67]</p> <p>64. Did you start any new building in 20..</p> <div class="i1">[] 1 Yes<br />[] 2 No</div><p>66. What is the state of completion of the building as at December 31, 20..</p> <div class="i1">[] 1 Foundation level<br />[] 2 Window level<br />[] 3 Lentel level<br />[] 4 Roofing level<br />[] 5 Completed totally</div> <span class="em">Col 64-67 Housing Project: </span> <br />Only persons that are aged 20 years and above are eligible to answer the questions on housing project.</p> <p><span class="em">Col 67: Period the Project was completed:</span> <br />For those who completed building project that they embarked upon within last year, ask which quarter of last year that the project was completed. Nigeria 2006: Persons age 20+ who started a new building project [discrepancies: type I 0.1%; type II 0.1%] This variable indicates the stage of completion of the new building project. 1 Foundation level 2 Window level 3 Lented level 4 Roofing level 5 Completed totally 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON When was building project completed <span class="em">Housing project (For persons age 20 years and above)</span> <br />[Applies to questions 64-67]</p> <p>64. Did you start any new building in 20..</p> <div class="i1">[] 1 Yes<br />[] 2 No</div><p>66. What is the state of completion of the building as at December 31, 20..</p> <div class="i1">[] 1 Foundation level<br />[] 2 Window level<br />[] 3 Lentel level<br />[] 4 Roofing level<br />[] 5 Completed totally</div><p>67. If col. 66=code 5 then, when was it completed?</p> <div class="i1">[] 1 1st quarter<br />[] 2 2nd quarter<br />[] 2 3rd quarter<br />[] 4 4th quarter</div> <span class="em">Col 64-67 Housing Project: </span> <br />Only persons that are aged 20 years and above are eligible to answer the questions on housing project.</p> <p><span class="em">Col 67: Period the Project was completed:</span> <br />For those who completed building project that they embarked upon within last year, ask which quarter of last year that the project was completed. Nigeria 2006: Persons age 20+ who started a new building project and completed it [discrepancies: type I 0.2%; type II trace] This variable indicates when the person’s building project was completed. 1 1st quarter 2 2nd quarter 3 3rd quarter 4 4th quarter 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Raising factor, person records Nigeria 2006: All persons This variable indicates the raising factor for Hweight for person records. This is a 8-digit numeric variable with 4 implied decimal places Technical Person Variables -- PERSON Adjustment factor, person records Nigeria 2006: All persons This variable indicates the adjustment factor for Hweight for person records. 138 138 158 158 164 164 165 165 176 176 177 177 179 179 187 187 190 190 191 191 196 196 199 199 203 203 209 209 212 212 218 218 219 219 222 222 229 229 230 230 232 232 241 241 243 243 248 248 268 268 272 272 275 275 290 290 294 294 298 298 310 310 322 322 330 330 361 361 413 413 496 496 536 536 Technical Person Variables -- PERSON Hweight, person records Nigeria 2006: All persons This variable indicates Hweight for persons records. Hweight is a product of the raising factor and the adjustment factor. This is a 7-digit numeric variable with 2 implied decimal places Technical Person Variables -- PERSON Total hours (grouped) Nigeria 2006: All persons This variable indicates the total hours (grouped). 01 1 to 15 02 15 to 39 03 40 04 41 to 47 05 48 to 56 06 More than 56 99 Unknown Work Variables -- PERSON Hweight1, person records Nigeria 2006: This variable indicates Hweight1 for person records. Hweight1 is a factor of HHweight. 043893 43893 053062 53062 053650 53650 056159 56159 072926 72926 073938 73938 075919 75919 077207 77207 078775 78775 079399 79399 081434 81434 089504 89504 095843 95843 100373 100373 102691 102691 108669 108669 111685 111685 114019 114019 114984 114984 115843 115843 117431 117431 118519 118519 120272 120272 120843 120843 124484 124484 126588 126588 131632 131632 134856 134856 141226 141226 155181 155181 173801 173801 197045 197045 220886 220886 226348 226348 236669 236669 270869 270869 373171 373171 Technical Person Variables -- PERSON Adjustment factor 1, person records Nigeria 2006: This variable indicates the adjustment factor for HHweight for person records. 0097 97 0108 108 0126 126 0127 127 0130 130 0131 131 0132 132 0134 134 0135 135 0136 136 0137 137 0138 138 0139 139 0140 140 0141 141 0142 142 0144 144 0145 145 0147 147 0148 148 0150 150 0154 154 0155 155 0158 158 0161 161 0188 188 0687 687 1231 1231 Technical Person Variables -- PERSON HHweight, person records Nigeria 2006: This variable indicates HHweight for person records. HHweight is a product of Adjustment factor 1 and Hweight1. This weight was computed by the national statistical agency and should be used for most types of analysis of person records. 0058816 58816 0073226 73226 0075815 75815 0083158 83158 0098053 98053 0099180 99180 0104009 104009 0106679 106679 0109571 109571 0116822 116822 0118162 118162 0120763 120763 0122790 122790 0128886 128886 0138010 138010 0138633 138633 0158590 158590 0163229 163229 0164347 164347 0165327 165327 0166727 166727 0167111 167111 0171121 171121 0171789 171789 0178002 178002 0191495 191495 0217488 217488 0228116 228116 0229417 229417 0255602 255602 0316887 316887 0317242 317242 0331329 331329 0507513 507513 0509234 509234 0795839 795839 1374847 1374847 Technical Person Variables -- PERSON Ever pregnant <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>5. Ever pregnant?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col 0 List of women ever married or Aged 15 years and above:</span> <br />Look through the general list of all persons in the household and copy out the names of all women that are ever married or those that are aged 15 years and over, and enter them in the space provided in this column.</p> <p><span class="em">Col.5 Ever pregnant:</span> <br />Indicate by shading '1' if the woman has ever been pregnant and '2' if she has never been pregnant.</p> <p>Note: </p> <div class="i1">If 'no' is the answer to Col. 5, skip to col. 13 for the woman.<br />If 'Yes' is the answer to Col. 5, continue interview with the woman.</div> Nigeria 2006: Females age 15+ or ever-married [discrepancies: type I 1.2%; type II 2.4%] This variable indicates if the woman has ever been pregnant. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children living in the household <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>6. Number of own children living in this HH</p> <div class="i1">Male _<br />Female _</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col. 6 Number of own Children Living in this Household:</span> <br />Indicate the number of the children living in the household by gender. Nigeria 2006: Females age 15+ or ever-married This variable indicates the woman’s number of own male children living in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children living in the household <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>6. Number of own children living in this HH</p> <div class="i1">Male _<br />Female _</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col. 6 Number of own Children Living in this Household:</span> <br />Indicate the number of the children living in the household by gender. Nigeria 2006: Females age 15+ or ever-married This variable indicates the woman’s number of own female children living in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children living elsewhere <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>7. Number of own children living elsewhere</p> <div class="i1">Male _<br />Female _</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col. 7 Number of own Children Living Elsewhere:</span> <br />State the number of the children of the woman living elsewhere by gender. For example, some of the children may be in boarding school. Nigeria 2006: Females age 15+ or ever-married This variable indicates the woman’s number of own male children living elsewhere. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children living elsewhere <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>7. Number of own children living elsewhere</p> <div class="i1">Male _<br />Female _</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col. 7 Number of own Children Living Elsewhere:</span> <br />State the number of the children of the woman living elsewhere by gender. For example, some of the children may be in boarding school. Nigeria 2006: Females age 15+ or ever-married This variable indicates the woman’s number of own female children living elsewhere. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children that have died <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>8. Number of own children that have died</p> <div class="i1">Male _<br />Female _</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col. 8 Number of own Children that have Died:</span> <br />State the number of the children that may have died by gender. However, care should be exercised in asking about children who have died. Note that Children of previous marriage should be included in the answers to columns 6-8 Nigeria 2006: Females age 15+ or ever-married This variable indicates the woman’s number of own male children that have died. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children that have died <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>8. Number of own children that have died</p> <div class="i1">Male _<br />Female _</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col. 8 Number of own Children that have Died:</span> <br />State the number of the children that may have died by gender. However, care should be exercised in asking about children who have died. Note that Children of previous marriage should be included in the answers to columns 6-8 Nigeria 2006: Females age 15+ or ever-married This variable indicates the woman’s number of own female children that have died. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Currently pregnant <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>9. Currently pregnant</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col 9 Currently Pregnant:</span> <br />If the woman is currently pregnant shade 1, otherwise, shade 2. Nigeria 2006: Females age 15+ or ever-married [discrepancies: type I 5.2%; type II 0.3%] This variable indicates if the woman is currently pregnant. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Registered with clinic <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p><span class="em">If pregnant?</span> <br />[Applies to questions 10-12]</p> <p>10. Are you registered with the clinic?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col 9 Currently Pregnant:</span> <br />If the woman is currently pregnant shade 1, otherwise, shade 2.</p> <p><span class="em">Col. 10 If pregnant -- Ask whether registered with clinic:</span> <br />For pregnant women, ask whether they are registered with the clinic (Public or Private). Shade 1 if yes, otherwise, shade 2. Nigeria 2006: Females age 15+ or ever-married who are currently pregnant [discrepancies: type I 2.8%; type II 0.2%] This variable indicates whether a currently pregnant woman is registered with a clinic. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of visits to clinic in a month <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p><span class="em">If pregnant?</span> <br />[Applies to questions 10-12]</p> <p>11. How many times do you go to the clinic in a month? _ _ <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col 9 Currently Pregnant:</span> <br />If the woman is currently pregnant shade 1, otherwise, shade 2.</p> <p><span class="em">Col. 11 Attendance at the Clinic:</span> <br />If pregnant and registered with clinic, ask for the number of times the woman attends clinic in a month. Nigeria 2006: Females age 15+ or ever-married who are currently pregnant [discrepancies: type I 1.1%; type II 1.1%] This variable indicates the woman’s number of visits to a clinic in a month. 00 0 01 1 02 2 03 3 04 4 05 5+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Received anti-tetanus <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p><span class="em">If pregnant?</span> <br />[Applies to questions 10-12]</p> <p>12. Received anti-tetanus?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col 9 Currently Pregnant:</span> <br />If the woman is currently pregnant shade 1, otherwise, shade 2.</p> <p><span class="em">Col. 12 Receive Anti-Tetanus Injection:</span> <br />Ask whether the pregnant woman received anti- tetanus and shade the appropriate bubble. Nigeria 2006: Females age 15+ or ever-married who have ever been pregnant [discrepancies: type I 2.1%; type II 0.7%] This variable indicates if the woman received anti-tetanus vaccine. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Currently using family planning <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>13. Currently using FP?</p> <div class="i1">(Ask only if age 15-49 years)<br /><br />[] 1 Yes<br />[] 2 No<br /><br />If 2=No, go to D15</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col. 13 Family Planning (Woman age 15-49 yrs only):</span> <br />If the woman is using family planning, shade 1, otherwise, shade 2 and skip to col. 15. Nigeria 2006: Females age 15-49 [discrepancies: type I 3.1%; type II 3.1%] This variable indicates if the woman is currently using family planning. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Method of family planning <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>13. Currently using FP?</p> <div class="i1">(Ask only if age 15-49 years)<br /><br />[] 1 Yes<br />[] 2 No<br /><br />If 2=No, go to D15</div><p>14. Which method?</p> <div class="i1">[] 1 Pill<br />[] 2 Condom<br />[] 3 Injection<br />[] 4 IUD<br />[] 5 Female sterilization<br />[] 6 Male sterilization<br />[] 7 Douche<br />[] 8 Norplant<br />[] 9 Foaming tab<br />[] 10 Diaphragm<br />[] 11 Foam jelly<br />[] 12 Traditional methods<br />[] 13 Abstinence<br />[] 14 Withdrawal<br />[] 15 Rhythm<br />[] 16 Others</div> <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col. 13 Family Planning (Woman age 15-49 yrs only):</span> <br />If the woman is using family planning, shade 1, otherwise, shade 2 and skip to col. 15.</p> <p><span class="em">Col. 14 Method of Family Planning Used:</span> <br />For women that are currently using family planning, ask for the method and record as provided in the options 01-16. Nigeria 2006: Females age 15-49 who currently used family planning [discrepancies: type I 1.2%; type II 0.2%] This variable indicates the woman’s method of family planning. 01 Pill 02 Condom 03 Injection 04 IUD 05 Female sterilization 06 Male sterilization 07 Douche 08 Norplant 09 Foaming tab 10 Diaphragm 11 Foam jelly 12 Traditional methods 13 Abstinence 14 Withdrawal 15 Rhythm 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Age at first marriage <span class="h2">Part D: Female contraceptive prevalence - Children ever born by women married or aged 15 years and over</span> <br />[Applies to questions 0-15]</p> <p>15. If ever married, age at first marriage _ _ <span class="h3">How to complete Part D: Female contraceptive prevalence.</span></p> <p><span class="em">Col. 15 If Ever Married -- Age at First Marriage: </span> <br />For women who have ever been married, state the age at first marriage. Nigeria 2006: Ever-married females [discrepancies: type I 1.4%; type II 2.9%] This variable indicates the woman's age at first marriage. 00 0 01 1 02 2 03 3 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 44 44 45 45 46 46 47 47 48 48 50 50 51 51 55 55 57 57 68 68 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 87 87 92 92 97 97 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON