DDI_NGA_2010_PHC_v01_M_v7.5_A_IPUMS General Household Survey, 2010-11 IPUMS May 20, 2024 MetadataEditor Version 7.5 October 2024. NEW FEATURES. --Historical data from NAPP project now available from IPUMS-International. --Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk. --Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples. --New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures. NEW SAMPLES. --Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. --Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) --Labor force surveys from Spain and eight new labor force surveys from Italy added to the series. Newly added countries: Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe New samples for: Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe SUPPLEMENTAL DATA. Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system. NEW VARIABLES. --IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here. --IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography. --Added more detailed 3-digit industry and occupation variables for China 2000. EDITED SAMPLES. --Revised full-count data for Great Britain 1881 --Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets: --Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS. --Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE. --A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute. EDITED VARIABLES. An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01. AGEMARR was edited to add data for Hungary 1980 and 1990. Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries. Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000. Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here. The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education. Errors affecting EDUCFJ for Fiji 2006 were corrected. A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals. MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers. An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected. An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed. All the six Brazil samples in IPUMS International were replaced with higher density samples. An edited version of the Chile 2017 sample was introduced to correct an error in household breaks. Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected. Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here. An error in PERWT affecting Nepal 2001 was corrected. Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household. An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited. Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error in INCEARN affecting Brazil 1980 was corrected. An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected. A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit. The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN. An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed. A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals. Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error affecting codes for COMPUTER for Senegal 2013 was corrected. An error affecting labels available in IND for Peru 1993 was corrected. An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected. EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization. HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province. In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE. Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected. Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected. General Household Survey, 2010-11 - IPUMS Subset PHC Nigeria 2010-2011 (IPUMS Harmonized Subset) NGA_2010_PHC_v01_M_v7.5_A_IPUMS National Bureau of Statistics IPUMS (c) Copyright 2010, National Bureau of Statistics and Minnesota Population Center MetadataEditor National Bureau of Statistics Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Work Variables -- PERSON Geography: F-N Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Other Person Variables -- PERSON Fertility and Mortality Variables -- PERSON Education Variables -- PERSON Education Variables -- PERSON Other Person Variables -- PERSON Work Variables -- PERSON Income Variables -- PERSON Nigeria Local Government Area (LGA) Persons UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: no - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: All types of structures occupied by members of the household. It may consist of a room(s) inside a house, a group of houses, a multi-storeyed house, or a hut or group of huts. - Households: A household is a group of people who normally live in the same household unit, who are or are not related to one another, and and who eat from the same pot. - Group quarters: --- ---- Sample survey data [ssd] Additional notes on a sample that is part of this study: Nigeria 2010-2011 Note: Household survey MICRODATA SOURCE: National Bureau of Statistics SAMPLE SIZE (person records): 72191. SAMPLE DESIGN: The sample followed a two-stage design in which enumeration areas (EAs) served as the primary sampling units and households as the secondary sampling units. A total of 500 EAs were selected based on probability proportional to size (PPS) of the total EAs in each state and the total households listed in those EAs. In each EA, 10 households were selected randomly from a list of all households in the EA. In total, 4,851 households and 29,993 individuals were interviewed in 500 EAs. Face-to-face [f2f] Three questionnaires: household questionnaire, agricultural questionnaire, and community/prices questionnaire. The household questionnaire collected information on size and composition of the household, as well as demographics, migration, education, work, time use, household assets, income, savings, and food consumption and security. The agricultural questionnaire collected information on crop and livestock production, storage, and sales. The community/prices questionnaire collected information on community and prices components. de jure, CENSUS DAY: ---- Weights computed by MPC in consultation with NBS 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. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.18128/D020.V7.5 Researchers should also acknowledge the statistical agency that originally produced the data: Nigeria, National Bureau of Statistics. General Household Survey, 2010-11 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. NGA2010_PHC-H-H Household records 0 110 NGA2010_PHC-P-H Person records 72191 160 Record type H Household P Person RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. IPUMS Country 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Ivory Coast 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). IPUMS Year 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. IPUMS IPUMS sample identifier 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Ivory Coast 1988 384199801 Ivory Coast 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). IPUMS Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. IPUMS Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. IPUMS Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Subsample number 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. IPUMS Group quarters (collective dwelling) status 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. IPUMS Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. IPUMS Urban-rural status 1 Rural 2 Urban 9 Unknown URBAN indicates whether the household was located in a place designated as urban or as rural. IPUMS Continent and region of country 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia REGIONW identifies the continent and region of each country. IPUMS 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. IPUMS 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. IPUMS Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer. IPUMS Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit string variable listing the population density in persons per square kilometer. IPUMS Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit string variable listing the area in square kilometers. IPUMS Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit string variable listing the area in square kilometers. IPUMS Nigeria, State 2006 - 2010 [Level 1; consistent boundaries, GIS] 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 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. IPUMS Nigeria, State 20010 [Level 1, GIS] 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 099 Unknown GEO1_ NG2010 identifies the household's state within Nigeria in 2010. States are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ NG2010 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. IPUMS Nigeria, Local Government Areas 2007 - 2010 [Level 2; consistent boundaries, GIS] 566001001 Aba North 566001002 Aba South 566001003 Arochukwu 566001004 Bende 566001005 Ikwuano 566001006 Isiala Ngwa North 566001007 Isiala Ngwa South 566001008 Isuikwato 566001009 Obingwa 566001010 Ohafia 566001011 Osisioma North 566001012 Ugwunagbo 566001013 Ukwa East 566001014 Ukwa West 566001015 Umuahia North 566001016 Umuahia South 566001017 Umunneochi 566001099 Abia State, LGA Unknown 566002001 Demsa 566002002 Fufore 566002003 Ganye 566002004 Girei 566002005 Gombi 566002006 Guyuk 566002007 Hong 566002008 Jada 566002009 Lamurde 566002010 Madagali 566002011 Maiha 566002012 Mayo-Belwa 566002013 Michika 566002014 Mubi North 566002015 Mubi South 566002016 Numan 566002017 Shelleng 566002018 Song 566002019 Teungo 566002021 Yola South, Yola North 566002099 Adamawa State, LGA unknown 566003001 Abak 566003002 Eastern Obolo 566003003 Eket 566003004 Essien Udim 566003005 Etim Ekpo 566003006 Etinan 566003007 Ibeno 566003008 Ibesikpo Asutan 566003009 Ibiono Ibom 566003010 Ika 566003011 Ikono 566003012 Ikot Abasi 566003013 Ikot Ekpene 566003014 Ini 566003015 Itu 566003016 Mbo 566003017 Mkpat Enin 566003018 Nsit Atai 566003019 Nsit Eket 566003020 Nsit Ibom 566003021 Nsit Ubium 566003022 Obot Akara 566003023 Okobo 566003024 Onna 566003025 Oron 566003026 Oruk Anam 566003027 Udung Uko 566003028 Ukanafun 566003029 Uruan 566003030 Urue Offong or Oruko 566003031 Uyo 566004001 Aguata 566004002 Anambra East 566004003 Anambra West 566004004 Anaocha 566004005 Awka North 566004006 Awka South 566004007 Ayamelum 566004008 Dunukofia 566004009 Ekwusigo 566004010 Idemili North 566004011 Idemili South 566004012 Ihiala 566004013 Njikoka 566004014 Nnewi North 566004015 Nnewi South 566004016 Ogbaru 566004017 Onitsha North 566004018 Onitsha South 566004019 Orumba North 566004020 Orumba South 566004021 Oyi 566005001 Alkaleri 566005002 Bauchi 566005003 Bogoro 566005004 Damban 566005005 Darazo 566005006 Dass 566005007 Gamawa 566005008 Ganjuwa 566005009 Giade 566005010 Itas Gadau 566005011 Jama'are 566005012 Katagum 566005013 Kirfi 566005014 Misau 566005015 Ningi 566005016 Shira 566005017 Tafawa Balewa 566005018 Toro 566005019 Warji 566005020 Zaki 566006001 Brass 566006002 Ekeremor 566006003 Kolokuma or Opokuma 566006004 Nembe 566006005 Ogbia 566006006 Sagbama 566006007 Southern Ijaw 566006008 Yenagoa 566007001 Ador 566007002 Agatu 566007003 Apa 566007004 Buruku 566007005 Gboko 566007006 Guma 566007007 Gwer East 566007008 Gwer West 566007009 Katsina Ala 566007010 Konshisha 566007011 Kwande 566007012 Logo 566007013 Makurdi 566007014 Obi 566007015 Ogbadibo 566007016 Ohimini 566007017 Oju 566007018 Okpokwu 566007019 Otukpo 566007020 Tarka 566007021 Ukum 566007022 Ushongo 566007023 Vandeikya 566007099 Benue state, LGA unknown 566008001 Abadan 566008002 Asikira or Uba 566008003 Bama 566008004 Bayo 566008005 Biu 566008007 Damaboa, Chibok 566008008 Dikwa 566008009 Gubio 566008010 Guzamala 566008011 Gwoza 566008012 Hawul 566008013 Jere 566008014 Kaga 566008015 Kalabalge 566008016 Konduga 566008017 Kukawa 566008018 Kwaya Kusar 566008019 Mafa 566008020 Magumeri 566008021 Maiduguri 566008022 Marte, Ngala 566008023 Mobbar 566008024 Monguno 566008026 Nganzai 566008027 Shani 566008099 Borno state, LGA unknown 566009001 Ugep South Abi 566009002 Akamkpa Buyo 566009003 Akpabuyo 566009004 Bakassi 566009005 Bekwarra 566009006 Biase 566009007 Boki 566009008 Calabar Municipal 566009009 Calabar South 566009010 Etung 566009011 Ikom 566009012 Obanliku 566009013 Obubra 566009014 Obudu 566009015 Odukpani 566009016 Ogoja 566009017 Yakurr Ugep North 566009018 Yalla 566009099 Cross River State, LGA unknown 566010001 Aniocha North 566010002 Aniocha South 566010003 Bomadi 566010004 Burutu 566010005 Ethiope East 566010006 Ethiope West 566010007 Ika North East 566010008 Ika South 566010009 Isoko North 566010010 Isoko South 566010011 Ndokwa East 566010012 Ndokwa West 566010013 Okpe 566010014 Oshimili North, Oshimili South 566010016 Patani 566010017 Sapele 566010018 Udu 566010019 Ughelli North 566010020 Ughelli South 566010021 Ukwani 566010022 Uvwie 566010023 Warri North 566010024 Warri South 566010025 Warri South-West 566010099 Delta State, LGA unknown 566011001 Abakaliki 566011002 Afikpo North 566011003 Afikpo South 566011004 Ebonyi 566011005 Ezza North 566011006 Ezza South 566011007 Ikwo 566011008 Ishielu 566011009 Ivo 566011010 Izzi 566011011 Ohaozara 566011012 Ohaukwu 566011013 Onicha 566012001 Akoko Edo 566012002 Egor 566012003 Esan Central 566012004 Esan North East 566012005 Esan South East 566012006 Esan West 566012007 Etsako Central 566012008 Etsako East 566012009 Etsako West 566012010 Igugben 566012011 Ikpooba Okha 566012012 Oredo 566012013 Orhionmwon 566012014 Ovia North East 566012015 Ovia South West 566012016 Owan East 566012017 Owan West 566012018 Uhunmuonde 566013001 Ado Ekiti 566013002 Efon 566013003 Ekiti East 566013004 Ekiti South 566013005 Ekiti West 566013006 Emure 566013007 Gbonyin 566013008 Ido or Osi 566013009 Ijero 566013010 Ikere 566013011 Ikole 566013012 Ilejemeje 566013013 Irepodun or Ifelodun 566013014 Ise or Orun 566013015 Moba 566013016 Oye 566014001 Aniniri, Awgu 566014003 Enugu East 566014004 Enugu North 566014005 Enugu South 566014006 Ezeagu 566014007 Igbo Etiti 566014008 Igbo Eze North 566014009 Igbo Eze South 566014010 Isi Uzo 566014011 Nkanu East 566014012 Nkanu West 566014013 Nsukka 566014014 Oji River 566014015 Udenu 566014016 Udi 566014017 Uzo Uwani 566014099 Enugu State, LGA unknown 566015001 Akko 566015002 Balanga 566015003 Billiri 566015004 Dukku 566015005 Funakaye 566015006 Gombe 566015007 Kaltungo 566015008 Kwami 566015009 Nafada 566015010 Shongom 566015011 Yamaltu/Deba 566016001 Aboh Mbaise 566016002 Ahiazu Mbaise 566016003 Ehime Mbano 566016004 Ezinihitte Mbaise 566016005 Ideato North 566016006 Ideato South 566016007 Ihitte Uboma 566016008 Ikeduru 566016009 Isiala Mbano 566016010 Isu 566016011 Mbaitoli 566016012 Ngor-Okpala 566016013 Njaba 566016014 Nkwere 566016015 Nwangele 566016016 Obowo 566016017 Oguta 566016018 Ohaji Egbema 566016019 Okigwe 566016020 Ono Imo 566016021 Orlu 566016022 Orsu 566016023 Oru East 566016024 Oru West 566016025 Owerri Municipal 566016026 Owerri North 566016027 Owerri West 566017001 Auyo 566017002 Babura 566017003 Birnin Kudu 566017004 Birniwa 566017005 Buji 566017006 Dutse 566017007 Gagarawa 566017008 Garki 566017009 Gumel 566017010 Guri 566017011 Gwaram 566017012 Gwiwa 566017013 Hadejia 566017014 Jahun 566017015 Kafin Hausa 566017016 Kaugama 566017017 Kazaure 566017018 Kirika Kasamma 566017019 Kiyawa 566017020 Maigatar 566017021 Malam Madori 566017022 Miga 566017023 Ringim 566017024 Roni 566017025 Sule Tankar Kar 566017026 Taura 566017027 Yan Kwashi 566018001 Birnin Gwari 566018002 Chikun 566018003 Giwa 566018004 Igabi 566018005 Ikara 566018006 Jaba 566018007 Jema'a 566018008 Kachia 566018009 Kaduna North 566018010 Kaduna South 566018011 Kagarko 566018012 Kajuru 566018013 Kaura 566018014 Kauru 566018015 Kubau 566018016 Kudan 566018017 Lere 566018018 Makarfi 566018019 Sabon Gari 566018020 Sanga 566018021 Soba 566018022 Zangon Kataf 566018023 Zaria 566018099 Kaduna State, LGA unknown 566019001 Ajingi 566019002 Albasu 566019003 Bagwai 566019004 Bebeji 566019005 Bichi 566019006 Bunkure 566019007 Dala 566019008 Danbatta 566019009 Dawakin Kudu 566019010 Dawakin Tofa 566019011 Doguwa 566019012 Fagge 566019013 Gabasawa 566019014 Garko 566019015 Garum Mallam 566019016 Gaya 566019017 Gezawa 566019018 Gwale 566019019 Gwarzo 566019020 Kabiya 566019021 Kabo 566019022 Kano 566019023 Karaye 566019024 Kiru 566019025 Kumbotso 566019026 Kunchi 566019027 Kura 566019028 Madobi 566019029 Makoda 566019030 Minjibir 566019031 Nassaraw 566019032 Rano 566019033 Rimin Gado 566019034 Rogo 566019035 Shanono 566019036 Sumaila 566019037 Takai 566019038 Tarauni 566019039 Tofa 566019040 Tsanyawa 566019041 Tudun Wada 566019042 Ungogo 566019043 Warawa 566019044 Wudil 566020001 Bakori 566020002 Batagarawa 566020003 Batsari 566020004 Baure 566020005 Bindawa 566020006 Charanchi 566020007 Dan Musa 566020008 Danmusa 566020009 Danja 566020010 Daura 566020011 Dutsi 566020012 Dutsin Ma 566020013 Faskari 566020014 Funtua 566020015 Ingawa 566020016 Jibia 566020018 Kaita 566020019 Kankara 566020020 Kankia 566020021 Katsina 566020022 Kurfi 566020023 Kusada 566020024 Mai'Adua 566020025 Malunfashi, Kafur 566020026 Mani 566020027 Mashi 566020028 Matazu 566020029 Musawa 566020030 Rimi 566020031 Sabuwa 566020032 Safana 566020033 Sandamu 566020034 Zango 566021001 Aleiro 566021002 Arewa 566021003 Argungu 566021004 Augie 566021005 Bagudo 566021006 Birnin Kebbi 566021007 Bunza 566021008 Dandi 566021009 Danko Wasagu 566021010 Fakai 566021011 Gwandu 566021012 Jega 566021013 Kalgo 566021014 Koko Besse 566021015 Maiyama 566021016 Ngaski 566021017 Sakaba 566021018 Shanga 566021019 Suru 566021020 Yauri 566021021 Zuru 566021099 Kebbi state, LGA unknown 566022001 Adavi 566022002 Ajaokuta 566022003 Ankpa 566022004 Bassa 566022005 Dekina 566022006 Ibaji 566022007 Idah 566022008 Igalamela Odolu 566022009 Ijumu 566022010 Kabba or Bunu 566022011 Kogi(KK) 566022012 Lokoja 566022013 Mopamuro 566022014 Ofu 566022015 Ogori or Mangogo 566022016 Okehi 566022017 Okene 566022018 Olamaboro 566022019 Omala 566022020 Yagba East 566022021 Yagba West 566022099 Kogi state, LGA unknown 566023001 Asa 566023002 Baruten 566023003 Edu 566023004 Ekiti 566023005 Ifelodun 566023006 Ilorin East 566023007 Ilorin South 566023008 Ilorin West 566023009 Irepodun 566023010 Isin 566023011 Kaiama 566023012 Moro 566023013 Offa 566023014 Oke Ero 566023015 Oyun 566023016 Patigi 566023099 Kwara state, LGA unknown 566024001 Agege 566024002 Ajeromi or Ifelodun 566024003 Alimosho 566024004 Amuwo Odofin 566024005 Apapa 566024006 Badagry 566024007 Epe 566024008 Eti Osa 566024009 Ibeju Lekki 566024010 Ifako Ijaye 566024011 Ikeja 566024012 Ikorordu 566024013 Kosofe 566024014 Lagos Island 566024015 Lagos Mainland 566024016 Mushin 566024017 Ojo 566024018 Oshodi or Isolo 566024019 Shomolu 566024020 Surulere 566025001 Akwanga 566025002 Awe 566025003 Doma 566025004 Karu 566025005 Keana 566025006 Keffi 566025007 Kokona 566025008 Lafia 566025009 Nasarawa 566025010 Nasarawa Eggon 566025011 Obi 566025012 Toto 566025013 Wamba 566025099 Nasarawa state, LGA unknown 566026001 Agaie 566026002 Agwara 566026003 Bida 566026004 Borgu 566026005 Bosso 566026006 Chanchaga 566026007 Edati Idati 566026008 Gbako 566026009 Gurara 566026010 Katcha 566026011 Kontagora 566026012 Lapai 566026013 Lavun 566026014 Magama 566026015 Mariga 566026016 Mashegu 566026017 Mokwa 566026018 Muya 566026019 Paikoro 566026020 Rafi 566026021 Rijau 566026022 Shiroro 566026023 Suleja 566026024 Tafa 566026025 Wushishi 566027001 Abeokuta North 566027002 Abeokuta South 566027003 Ado Odo or Ota 566027004 Egbado North 566027005 Egbado South 566027006 Ewekoro 566027007 Ifo 566027008 Ijebu East 566027009 Ijebu North 566027010 Ijebu North East 566027011 Ijebu Ode 566027012 Ikenne 566027013 Imeko or Afon 566027014 Ipokia 566027015 Obafemi Owode 566027016 Odeda 566027017 Odogbolu 566027018 Ogun Waterside 566027019 Remo North 566027020 Sagamu 566028001 Akoko North East 566028002 Akoko North West 566028003 Akoko South East 566028004 Akoko South West 566028005 Akure North 566028006 Akure South 566028007 Ese Odo 566028008 Idanre 566028009 Ifedore 566028010 Ilaje 566028011 Ileoluji or Okeigbo 566028012 Irele 566028013 Odigbo 566028014 Okitipupa 566028015 Ondo East 566028016 Ondo West 566028017 Ose 566028018 Owo 566029001 Atakumosa East 566029002 Atakumosa West 566029003 Ayedaade 566029004 Ayedire 566029005 Bolowaduro 566029006 Boripe 566029007 Ede North 566029008 Ede South 566029009 Egbedore 566029010 Ejigbo 566029011 Ife Central 566029012 Ife East 566029013 Ife North 566029014 Ife South 566029015 Ifedayo 566029016 Ifelodun 566029017 Ila 566029018 Ilesha East 566029019 Ilesa West 566029020 Irepodun 566029021 Irewole 566029022 Isokan 566029023 Iwo 566029024 Obokun 566029025 Odo Otin 566029026 Ola Oluwa 566029027 Olorunda 566029028 Oriade 566029029 Orolu 566029030 Osogbo 566030001 Afijio 566030002 Akinyele 566030003 Atiba 566030004 Atisbo 566030005 Egbeda 566030006 Ibadan North 566030007 Ibadan North-East 566030008 Ibadan North-West 566030009 Ibadan South East 566030010 Ibadan South West 566030011 Ibarapa Central 566030012 Ibarapa East 566030013 Ibarapa North 566030014 Ido 566030015 Irepo 566030016 Iseyin 566030017 Itesiwaju 566030018 Iwajowa 566030019 Kajola 566030020 Lagelu 566030021 Ogbomosho North 566030022 Ogbomoso South 566030023 Ogo Oluwa 566030024 Olorunsogo 566030025 Oluyole 566030026 Ona Ara 566030027 Orelope 566030028 Orire 566030029 Oyo East 566030030 Oyo West 566030031 Saki East 566030032 Saki West 566030033 Surulere 566030099 Oyo state, LGA unknown 566031001 Barkin Ladi 566031002 Bassa 566031003 Bokkos 566031004 Jos East 566031005 Jos North 566031006 Jos South 566031007 Kanam 566031008 Kanke 566031009 Lantang North 566031010 Lantang South 566031011 Mangu 566031012 Mikang 566031013 Pankshin 566031014 Qua'an Pan 566031015 Riyom 566031016 Shendam 566031017 Wase 566031099 Plateau state, LGA unknown 566032001 Abua Odua 566032002 Ahoada East 566032003 Ahoada West 566032004 Akuku Toru 566032005 Andoni 566032006 Asari Toru 566032007 Bonny 566032008 Degema 566032009 Eleme 566032010 Emohu 566032011 Etche 566032012 Gokana 566032013 Ikwerre 566032014 Khana 566032015 Obio/Akpor 566032016 Ogba or Egbema or Ndoni 566032017 Ogu Bolo 566032018 Okirika 566032019 Omumma 566032020 Opobo or Nkoro 566032021 Oyigbo 566032022 Port Harcourt 566032023 Tai 566033001 Binji 566033002 Bodinga 566033003 Dange Shuni 566033004 Gada 566033005 Goronyo 566033006 Gudu 566033007 Gwadabawa 566033008 Illela 566033009 Isa 566033010 Kebbe 566033011 Kware 566033012 Rabah 566033013 Sabon Birnin 566033014 Shagari 566033015 Silame 566033016 Sokoto North 566033017 Sokoto South 566033018 Tambuwai 566033019 Tangaza 566033020 Tureta 566033021 Wamakko 566033022 Wurno 566033023 Yabo Bodingo 566033099 Sokoto state, LGA unknown 566034001 Ardo-Kola 566034002 Bali 566034003 Donga 566034004 Gashaka 566034005 Gassol 566034006 Ibi 566034007 Jalingo 566034008 Karim Lamido 566034009 Kurmi 566034010 Lau 566034011 Sardauna 566034012 Takum 566034013 Ussa 566034014 Wukari 566034015 Yorro 566034016 Zing 566034099 Taraba state, LGA unknown 566035001 Bade 566035002 Bursari 566035003 Damaturu 566035004 Fika 566035005 Fune 566035006 Geidam 566035007 Gujba 566035008 Gulani 566035009 Jakusko 566035010 Karasuwa 566035011 Machina 566035012 Nangere 566035013 Nguru 566035014 Potiskum 566035015 Tarmuwa 566035016 Yunusari 566035017 Yusufari 566035099 Yobe state, LGA unknown 566036001 Anka 566036002 Bakura 566036003 Birnin Magaji 566036004 Bukkuyum 566036005 Bungudu 566036006 Gummi 566036007 Gusau 566036008 Kaura Namoda 566036009 Maradun 566036010 Maru 566036011 Shinkafi 566036012 Talata Mafara 566036013 Tsafe 566036014 Zurmi 566037001 Abaji Area Council 566037002 Bwari Area Council 566037003 Gwagwalada Area Council 566037004 Kuje Area Council 566037005 Kwali Area Council 566037006 Municipal Area Council 566037099 Federal Capital Territory, LGA unknown 566099999 Unknown GEO2_NG identifies the household's Local Government Areas (LGA) within Nigeria from 2007 to 2010. LGAs are the second level administrative units of the country, after states. GEO2_ NG is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_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. IPUMS Nigeria, Local Government Areas 20010 [Level 2, GIS] 001001 Aba North 001002 Aba South 001003 Arochukwu 001004 Bende 001005 Ikwuano 001006 Isiala Ngwa North 001007 Isiala Ngwa South 001008 Isuikwato 001009 Obingwa 001010 Ohafia 001011 Osisioma North 001012 Ugwunagbo 001013 Ukwa East 001014 Ukwa West 001015 Umuahia North 001016 Umuahia South 001017 Umunneochi 002001 Demsa 002002 Fufore 002003 Ganye 002004 Girei 002005 Gombi 002006 Guyuk 002007 Hong 002008 Jada 002009 Lamurde 002010 Madagali 002011 Maiha 002012 Mayo-Belwa 002013 Michika 002014 Mubi North 002015 Mubi South 002016 Numan 002017 Shelleng 002018 Song 002019 Teungo 002021 Yola South, Yola North 003001 Abak 003002 Eastern Obolo 003003 Eket 003004 Essien Udim 003005 Etim Ekpo 003006 Etinan 003007 Ibeno 003008 Ibesikpo Asutan 003009 Ibiono Ibom 003010 Ika 003011 Ikono 003012 Ikot Abasi 003013 Ikot Ekpene 003014 Ini 003015 Itu 003016 Mbo 003017 Mkpat Enin 003018 Nsit Atai 003019 Nsit Eket 003020 Nsit Ibom 003021 Nsit Ubium 003022 Obot Akara 003023 Okobo 003024 Onna 003025 Oron 003026 Oruk Anam 003027 Udung Uko 003028 Ukanafun 003029 Uruan 003030 Urue Offong or Oruko 003031 Uyo 004001 Aguata 004002 Anambra East 004003 Anambra West 004004 Anaocha 004005 Awka North 004006 Awka South 004007 Ayamelum 004008 Dunukofia 004009 Ekwusigo 004010 Idemili North 004011 Idemili South 004012 Ihiala 004013 Njikoka 004014 Nnewi North 004015 Nnewi South 004016 Ogbaru 004017 Onitsha North 004018 Onitsha South 004019 Orumba North 004020 Orumba South 004021 Oyi 005001 Alkaleri 005002 Bauchi 005003 Bogoro 005004 Damban 005005 Darazo 005006 Dass 005007 Gamawa 005008 Ganjuwa 005009 Giade 005010 Itas Gadau 005011 Jama'are 005012 Katagum 005013 Kirfi 005014 Misau 005015 Ningi 005016 Shira 005017 Tafawa Balewa 005018 Toro 005019 Warji 005020 Zaki 006001 Brass 006002 Ekeremor 006003 Kolokuma or Opokuma 006004 Nembe 006005 Ogbia 006006 Sagbama 006007 Southern Ijaw 006008 Yenagoa 007001 Ador 007002 Agatu 007003 Apa 007004 Buruku 007005 Gboko 007006 Guma 007007 Gwer East 007008 Gwer West 007009 Katsina Ala 007010 Konshisha 007011 Kwande 007012 Logo 007013 Makurdi 007014 Obi 007015 Ogbadibo 007016 Ohimini 007017 Oju 007018 Okpokwu 007019 Otukpo 007020 Tarka 007021 Ukum 007022 Ushongo 007023 Vandeikya 008001 Abadan 008002 Asikira or Uba 008003 Bama 008004 Bayo 008005 Biu 008007 Damaboa, Chibok 008008 Dikwa 008009 Gubio 008010 Guzamala 008011 Gwoza 008012 Hawul 008013 Jere 008014 Kaga 008015 Kalabalge 008016 Konduga 008017 Kukawa 008018 Kwaya Kusar 008019 Mafa 008020 Magumeri 008021 Maiduguri 008022 Marte, Ngala 008023 Mobbar 008024 Monguno 008026 Nganzai 008027 Shani 009001 Ugep South Abi 009002 Akamkpa Buyo 009003 Akpabuyo 009004 Bakassi 009005 Bekwarra 009006 Biase 009007 Boki 009008 Calabar Municipal 009009 Calabar South 009010 Etung 009011 Ikom 009012 Obanliku 009013 Obubra 009014 Obudu 009015 Odukpani 009016 Ogoja 009017 Yakurr Ugep North 009018 Yalla 010001 Aniocha North 010002 Aniocha South 010003 Bomadi 010004 Burutu 010005 Ethiope East 010006 Ethiope West 010007 Ika North East 010008 Ika South 010009 Isoko North 010010 Isoko South 010011 Ndokwa East 010012 Ndokwa West 010013 Okpe 010014 Oshimili North, Oshimili South 010016 Patani 010017 Sapele 010018 Udu 010019 Ughelli North 010020 Ughelli South 010021 Ukwani 010022 Uvwie 010023 Warri North 010024 Warri South 010025 Warri South-West 011001 Abakaliki 011002 Afikpo North 011003 Afikpo South 011004 Ebonyi 011005 Ezza North 011006 Ezza South 011007 Ikwo 011008 Ishielu 011009 Ivo 011010 Izzi 011011 Ohaozara 011012 Ohaukwu 011013 Onicha 012001 Akoko Edo 012002 Egor 012003 Esan Central 012004 Esan North East 012005 Esan South East 012006 Esan West 012007 Etsako Central 012008 Etsako East 012009 Etsako West 012010 Igugben 012011 Ikpooba Okha 012012 Oredo 012013 Orhionmwon 012014 Ovia North East 012015 Ovia South West 012016 Owan East 012017 Owan West 012018 Uhunmuonde 013001 Ado Ekiti 013002 Efon 013003 Ekiti East 013004 Ekiti South 013005 Ekiti West 013006 Emure 013007 Gbonyin 013008 Ido or Osi 013009 Ijero 013010 Ikere 013011 Ikole 013012 Ilejemeje 013013 Irepodun or Ifelodun 013014 Ise or Orun 013015 Moba 013016 Oye 014001 Aniniri, Awgu 014003 Enugu East 014004 Enugu North 014005 Enugu South 014006 Ezeagu 014007 Igbo Etiti 014008 Igbo Eze North 014009 Igbo Eze South 014010 Isi Uzo 014011 Nkanu East 014012 Nkanu West 014013 Nsukka 014014 Oji River 014015 Udenu 014016 Udi 014017 Uzo Uwani 015001 Akko 015002 Balanga 015003 Billiri 015004 Dukku 015005 Funakaye 015006 Gombe 015007 Kaltungo 015008 Kwami 015009 Nafada 015010 Shongom 015011 Yamaltu/Deba 016001 Aboh Mbaise 016002 Ahiazu Mbaise 016003 Ehime Mbano 016004 Ezinihitte Mbaise 016005 Ideato North 016006 Ideato South 016007 Ihitte Uboma 016008 Ikeduru 016009 Isiala Mbano 016010 Isu 016011 Mbaitoli 016012 Ngor-Okpala 016013 Njaba 016014 Nkwere 016015 Nwangele 016016 Obowo 016017 Oguta 016018 Ohaji Egbema 016019 Okigwe 016020 Ono Imo 016021 Orlu 016022 Orsu 016023 Oru East 016024 Oru West 016025 Owerri Municipal 016026 Owerri North 016027 Owerri West 017001 Auyo 017002 Babura 017003 Birnin Kudu 017004 Birniwa 017005 Buji 017006 Dutse 017007 Gagarawa 017008 Garki 017009 Gumel 017010 Guri 017011 Gwaram 017012 Gwiwa 017013 Hadejia 017014 Jahun 017015 Kafin Hausa 017016 Kaugama 017017 Kazaure 017018 Kirika Kasamma 017019 Kiyawa 017020 Maigatar 017021 Malam Madori 017022 Miga 017023 Ringim 017024 Roni 017025 Sule Tankar Kar 017026 Taura 017027 Yan Kwashi 018001 Birnin Gwari 018002 Chikun 018003 Giwa 018004 Igabi 018005 Ikara 018006 Jaba 018007 Jema'a 018008 Kachia 018009 Kaduna North 018010 Kaduna South 018011 Kagarko 018012 Kajuru 018013 Kaura 018014 Kauru 018015 Kubau 018016 Kudan 018017 Lere 018018 Makarfi 018019 Sabon Gari 018020 Sanga 018021 Soba 018022 Zangon Kataf 018023 Zaria 019001 Ajingi 019002 Albasu 019003 Bagwai 019004 Bebeji 019005 Bichi 019006 Bunkure 019007 Dala 019008 Danbatta 019009 Dawakin Kudu 019010 Dawakin Tofa 019011 Doguwa 019012 Fagge 019013 Gabasawa 019014 Garko 019015 Garum Mallam 019016 Gaya 019017 Gezawa 019018 Gwale 019019 Gwarzo 019020 Kabiya 019021 Kabo 019022 Kano 019023 Karaye 019024 Kiru 019025 Kumbotso 019026 Kunchi 019027 Kura 019028 Madobi 019029 Makoda 019030 Minjibir 019031 Nassaraw 019032 Rano 019033 Rimin Gado 019034 Rogo 019035 Shanono 019036 Sumaila 019037 Takai 019038 Tarauni 019039 Tofa 019040 Tsanyawa 019041 Tudun Wada 019042 Ungogo 019043 Warawa 019044 Wudil 020001 Bakori 020002 Batagarawa 020003 Batsari 020004 Baure 020005 Bindawa 020006 Charanchi 020007 Dan Musa 020008 Danmusa 020009 Danja 020010 Daura 020011 Dutsi 020012 Dutsin Ma 020013 Faskari 020014 Funtua 020015 Ingawa 020016 Jibia 020018 Kaita 020019 Kankara 020020 Kankia 020021 Katsina 020022 Kurfi 020023 Kusada 020024 Mai'Adua 020025 Malunfashi, Kafur 020026 Mani 020027 Mashi 020028 Matazu 020029 Musawa 020030 Rimi 020031 Sabuwa 020032 Safana 020033 Sandamu 020034 Zango 021001 Aleiro 021002 Arewa 021003 Argungu 021004 Augie 021005 Bagudo 021006 Birnin Kebbi 021007 Bunza 021008 Dandi 021009 Danko Wasagu 021010 Fakai 021011 Gwandu 021012 Jega 021013 Kalgo 021014 Koko Besse 021015 Maiyama 021016 Ngaski 021017 Sakaba 021018 Shanga 021019 Suru 021020 Yauri 021021 Zuru 022001 Adavi 022002 Ajaokuta 022003 Ankpa 022004 Bassa 022005 Dekina 022006 Ibaji 022007 Idah 022008 Igalamela Odolu 022009 Ijumu 022010 Kabba or Bunu 022011 Kogi(KK) 022012 Lokoja 022013 Mopamuro 022014 Ofu 022015 Ogori or Mangogo 022016 Okehi 022017 Okene 022018 Olamaboro 022019 Omala 022020 Yagba East 022021 Yagba West 023001 Asa 023002 Baruten 023003 Edu 023004 Ekiti 023005 Ifelodun 023006 Ilorin East 023007 Ilorin South 023008 Ilorin West 023009 Irepodun 023010 Isin 023011 Kaiama 023012 Moro 023013 Offa 023014 Oke Ero 023015 Oyun 023016 Patigi 024001 Agege 024002 Ajeromi or Ifelodun 024003 Alimosho 024004 Amuwo Odofin 024005 Apapa 024006 Badagry 024007 Epe 024008 Eti Osa 024009 Ibeju Lekki 024010 Ifako Ijaye 024011 Ikeja 024012 Ikorordu 024013 Kosofe 024014 Lagos Island 024015 Lagos Mainland 024016 Mushin 024017 Ojo 024018 Oshodi or Isolo 024019 Shomolu 024020 Surulere 025001 Akwanga 025002 Awe 025003 Doma 025004 Karu 025005 Keana 025006 Keffi 025007 Kokona 025008 Lafia 025009 Nasarawa 025010 Nasarawa Eggon 025011 Obi 025012 Toto 025013 Wamba 026001 Agaie 026002 Agwara 026003 Bida 026004 Borgu 026005 Bosso 026006 Chanchaga 026007 Edati Idati 026008 Gbako 026009 Gurara 026010 Katcha 026011 Kontagora 026012 Lapai 026013 Lavun 026014 Magama 026015 Mariga 026016 Mashegu 026017 Mokwa 026018 Muya 026019 Paikoro 026020 Rafi 026021 Rijau 026022 Shiroro 026023 Suleja 026024 Tafa 026025 Wushishi 027001 Abeokuta North 027002 Abeokuta South 027003 Ado Odo or Ota 027004 Egbado North 027005 Egbado South 027006 Ewekoro 027007 Ifo 027008 Ijebu East 027009 Ijebu North 027010 Ijebu North East 027011 Ijebu Ode 027012 Ikenne 027013 Imeko or Afon 027014 Ipokia 027015 Obafemi Owode 027016 Odeda 027017 Odogbolu 027018 Ogun Waterside 027019 Remo North 027020 Sagamu 028001 Akoko North East 028002 Akoko North West 028003 Akoko South East 028004 Akoko South West 028005 Akure North 028006 Akure South 028007 Ese Odo 028008 Idanre 028009 Ifedore 028010 Ilaje 028011 Ileoluji or Okeigbo 028012 Irele 028013 Odigbo 028014 Okitipupa 028015 Ondo East 028016 Ondo West 028017 Ose 028018 Owo 029001 Atakumosa East 029002 Atakumosa West 029003 Ayedaade 029004 Ayedire 029005 Bolowaduro 029006 Boripe 029007 Ede North 029008 Ede South 029009 Egbedore 029010 Ejigbo 029011 Ife Central 029012 Ife East 029013 Ife North 029014 Ife South 029015 Ifedayo 029016 Ifelodun 029017 Ila 029018 Ilesha East 029019 Ilesa West 029020 Irepodun 029021 Irewole 029022 Isokan 029023 Iwo 029024 Obokun 029025 Odo Otin 029026 Ola Oluwa 029027 Olorunda 029028 Oriade 029029 Orolu 029030 Osogbo 030001 Afijio 030002 Akinyele 030003 Atiba 030004 Atisbo 030005 Egbeda 030006 Ibadan North 030007 Ibadan North-East 030008 Ibadan North-West 030009 Ibadan South East 030010 Ibadan South West 030011 Ibarapa Central 030012 Ibarapa East 030013 Ibarapa North 030014 Ido 030015 Irepo 030016 Iseyin 030017 Itesiwaju 030018 Iwajowa 030019 Kajola 030020 Lagelu 030021 Ogbomosho North 030022 Ogbomoso South 030023 Ogo Oluwa 030024 Olorunsogo 030025 Oluyole 030026 Ona Ara 030027 Orelope 030028 Orire 030029 Oyo East 030030 Oyo West 030031 Saki East 030032 Saki West 030033 Surulere 031001 Barkin Ladi 031002 Bassa 031003 Bokkos 031004 Jos East 031005 Jos North 031006 Jos South 031007 Kanam 031008 Kanke 031009 Lantang North 031010 Lantang South 031011 Mangu 031012 Mikang 031013 Pankshin 031014 Qua'an Pan 031015 Riyom 031016 Shendam 031017 Wase 032001 Abua Odua 032002 Ahoada East 032003 Ahoada West 032004 Akuku Toru 032005 Andoni 032006 Asari Toru 032007 Bonny 032008 Degema 032009 Eleme 032010 Emohu 032011 Etche 032012 Gokana 032013 Ikwerre 032014 Khana 032015 Obio/Akpor 032016 Ogba or Egbema or Ndoni 032017 Ogu Bolo 032018 Okirika 032019 Omumma 032020 Opobo or Nkoro 032021 Oyigbo 032022 Port Harcourt 032023 Tai 033001 Binji 033002 Bodinga 033003 Dange Shuni 033004 Gada 033005 Goronyo 033006 Gudu 033007 Gwadabawa 033008 Illela 033009 Isa 033010 Kebbe 033011 Kware 033012 Rabah 033013 Sabon Birnin 033014 Shagari 033015 Silame 033016 Sokoto North 033017 Sokoto South 033018 Tambuwai 033019 Tangaza 033020 Tureta 033021 Wamakko 033022 Wurno 033023 Yabo Bodingo 034001 Ardo-Kola 034002 Bali 034003 Donga 034004 Gashaka 034005 Gassol 034006 Ibi 034007 Jalingo 034008 Karim Lamido 034009 Kurmi 034010 Lau 034011 Sardauna 034012 Takum 034013 Ussa 034014 Wukari 034015 Yorro 034016 Zing 035001 Bade 035002 Bursari 035003 Damaturu 035004 Fika 035005 Fune 035006 Geidam 035007 Gujba 035008 Gulani 035009 Jakusko 035010 Karasuwa 035011 Machina 035012 Nangere 035013 Nguru 035014 Potiskum 035015 Tarmuwa 035016 Yunusari 035017 Yusufari 036001 Anka 036002 Bakura 036003 Birnin Magaji 036004 Bukkuyum 036005 Bungudu 036006 Gummi 036007 Gusau 036008 Kaura Namoda 036009 Maradun 036010 Maru 036011 Shinkafi 036012 Talata Mafara 036013 Tsafe 036014 Zurmi 037001 Abaji Area Council 037002 Bwari Area Council 037003 Gwagwalada Area Council 037004 Kuje Area Council 037005 Kwali Area Council 037006 Municipal Area Council 099999 Unknown GEO2_ NG2010 identifies the household's Local Government Areas (LGA) within Nigeria in 2010. LGAs are the second level administrative units of the country, after states. A GIS map (in shapefile format), corresponding to GEO2_ NG2010 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 of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS Nigeria, Zone 1 North Central 2 North East 3 North West 4 South East 5 South South 6 South West 9 Unknown 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. IPUMS DHS-IPUMS-I Nigeria regions, 2006-2013 [consistent boundaries, GIS] 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 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. IPUMS Ownership of dwelling [general version] NIU (not in universe) 1 Owned 2 Not owned 9 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. IPUMS Ownership of dwelling [detailed version] 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. IPUMS Electricity NIU (not in universe) 1 Yes 2 No 9 Unknown ELECTRIC indicates whether the household had access to electricity. IPUMS Water supply 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 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. IPUMS Sewage 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 SEWAGE indicates whether the household has access to a sewage system or septic tank. IPUMS Cooking fuel 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 FUELCOOK indicates the predominant type of fuel or energy used for cooking. IPUMS Telephone availability NIU (not in universe) 1 No 2 Yes 9 Unknown/missing PHONE indicates the availability of a telephone in the dwelling. IPUMS Cellular phone availability NIU (not in universe) 1 Yes 2 No 9 Unknown CELL indicates the availability of a cellular phone in the household. IPUMS Trash disposal 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 This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner. IPUMS Number of rooms 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) ROOMS indicates the number of rooms occupied by the housing unit. IPUMS Toilet 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 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. IPUMS Floor 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 FLOOR indicates the dwelling's predominant flooring material. IPUMS Wall or building material 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. IPUMS Roof material 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing This variable indicates the dwelling's predominant roofing material. IPUMS Year structure was built 0000 NIU (not in universe) 1870 1870 or earlier 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Under construction 9999 Unknown BUILTYR indicates the year in which construction was completed on the building in which the household resides. IPUMS Household classification 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. IPUMS Number of families in household Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. IPUMS Number of married couples in household No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). IPUMS Number of mothers in household No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). IPUMS Number of fathers in household No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). IPUMS Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. IPUMS Dwelling number Nigeria 2010: All households This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household Nigeria 2010: All households 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 23 23 24 24 45 45 This variable indicates the number of persons in the household. IPUMS Zone 1. Zone ____ Code _ <br />2. State ____ Code _ _ <br />3. LGA ____ Code _ _ <br />4. Sector (Urban=1, Rural=2) _ <br />5. EA ____ Code _ _ _ _ <br />6. RIC ____ Code _ _ _ _ <br />7. Household no. _ _ _ <br />8. What are the GPS coordinates of the dwelling? Latitude (N) _ _ _ _ _ _ Longitude (E) _ _ _ _ _ _ _ <br />9. Name of household head ____ <br />10. Address of household head _____________ <br />11. Name of interviewer ____ Code _ _ _ <br />12. Name of supervisor ____ Code _ _ _ Nigeria 2010: All households 1 North Central 2 North East 3 North West 4 South East 5 South South 6 South West 9 Unknown This variable indicates the zone. IPUMS Urban-rural 1. Zone ____ Code _ <br />2. State ____ Code _ _ <br />3. LGA ____ Code _ _ <br />4. Sector (Urban=1, Rural=2) _ <br />5. EA ____ Code _ _ _ _ <br />6. RIC ____ Code _ _ _ _ <br />7. Household no. _ _ _ <br />8. What are the GPS coordinates of the dwelling? Latitude (N) _ _ _ _ _ _ Longitude (E) _ _ _ _ _ _ _ <br />9. Name of household head ____ <br />10. Address of household head _____________ <br />11. Name of interviewer ____ Code _ _ _ <br />12. Name of supervisor ____ Code _ _ _ Nigeria 2010: All households 1 Urban 2 Rural This variable indicates the urban-rural status. IPUMS Household number 1. Zone ____ Code _ <br />2. State ____ Code _ _ <br />3. LGA ____ Code _ _ <br />4. Sector (Urban=1, Rural=2) _ <br />5. EA ____ Code _ _ _ _ <br />6. RIC ____ Code _ _ _ _ <br />7. Household no. _ _ _ <br />8. What are the GPS coordinates of the dwelling? Latitude (N) _ _ _ _ _ _ Longitude (E) _ _ _ _ _ _ _ <br />9. Name of household head ____ <br />10. Address of household head _____________ <br />11. Name of interviewer ____ Code _ _ _ <br />12. Name of supervisor ____ Code _ _ _ Nigeria 2010: All households 000 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 094 94 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 109 109 111 111 112 112 114 114 115 115 116 116 117 117 118 118 120 120 121 121 122 122 123 123 128 128 130 130 131 131 133 133 134 134 137 137 138 138 149 149 150 150 154 154 166 166 167 167 251 251 302 302 400 400 700 700 This variable indicates the household number. IPUMS Interviewer code 1. Zone ____ Code _ <br />2. State ____ Code _ _ <br />3. LGA ____ Code _ _ <br />4. Sector (Urban=1, Rural=2) _ <br />5. EA ____ Code _ _ _ _ <br />6. RIC ____ Code _ _ _ _ <br />7. Household no. _ _ _ <br />8. What are the GPS coordinates of the dwelling? Latitude (N) _ _ _ _ _ _ Longitude (E) _ _ _ _ _ _ _ <br />9. Name of household head ____ <br />10. Address of household head _____________ <br />11. Name of interviewer ____ Code _ _ _ <br />12. Name of supervisor ____ Code _ _ _ Nigeria 2010: All households 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 22 22 25 25 60 60 91 91 99 Unknown This variable indicates the interviewer code. IPUMS Supervisor code 1. Zone ____ Code _ <br />2. State ____ Code _ _ <br />3. LGA ____ Code _ _ <br />4. Sector (Urban=1, Rural=2) _ <br />5. EA ____ Code _ _ _ _ <br />6. RIC ____ Code _ _ _ _ <br />7. Household no. _ _ _ <br />8. What are the GPS coordinates of the dwelling? Latitude (N) _ _ _ _ _ _ Longitude (E) _ _ _ _ _ _ _ <br />9. Name of household head ____ <br />10. Address of household head _____________ <br />11. Name of interviewer ____ Code _ _ _ <br />12. Name of supervisor ____ Code _ _ _ Nigeria 2010: All households 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 09 9 10 10 11 11 12 12 13 13 22 22 23 23 33 33 99 Unknown This variable indicates the supervisor code. IPUMS Day of first interview 13. Date of first interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />14a. Time first interview started _ _: _ _ __ <br />14b. Time first interview ended _ _: _ _ __ <br />15a. Interview status after first visit: <br />15b. Data entry status after first visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for questions 15a and 15b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: All households 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 99 Unknown This variable indicates the day of the first interview. IPUMS Month of first interview 13. Date of first interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />14a. Time first interview started _ _: _ _ __ <br />14b. Time first interview ended _ _: _ _ __ <br />15a. Interview status after first visit: <br />15b. Data entry status after first visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for questions 15a and 15b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: All households 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 99 Unknown This variable indicates the month of the first interview. IPUMS Year of first interview 13. Date of first interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />14a. Time first interview started _ _: _ _ __ <br />14b. Time first interview ended _ _: _ _ __ <br />15a. Interview status after first visit: <br />15b. Data entry status after first visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for questions 15a and 15b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: All households 2011 2011 9999 Unknown This variable indicates the year of the first interview. IPUMS Data entry status after first visit 13. Date of first interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />14a. Time first interview started _ _: _ _ __ <br />14b. Time first interview ended _ _: _ _ __ <br />15a. Interview status after first visit: <br />15b. Data entry status after first visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for questions 15a and 15b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: All households 1 Complete, no questionnaire errors 2 Complete, with questionnaire errors 3 Not complete 9 Unknown This variable indicates the data entry status after the first visit. IPUMS Day of second interview 16. Date of second interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />17a. Time second interview started _ _: _ _ __ <br />17b. Time second interview ended _ _: _ _ __ <br />18a. Interview status after second visit: <br />18b. Data entry status after second visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for question 18a and 18b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: Households that had a second interview [universe unverifiable] 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 98 Unknown 99 NIU (not in universe) This variable indicates the day of the second interview. IPUMS Month of second interview 16. Date of second interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />17a. Time second interview started _ _: _ _ __ <br />17b. Time second interview ended _ _: _ _ __ <br />18a. Interview status after second visit: <br />18b. Data entry status after second visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for question 18a and 18b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: Households that had a second interview [universe unverifiable] 3 3 4 4 5 5 6 6 8 Unknown 9 NIU (not in universe) This variable indicates the month of the second interview. IPUMS Year of second interview 16. Date of second interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />17a. Time second interview started _ _: _ _ __ <br />17b. Time second interview ended _ _: _ _ __ <br />18a. Interview status after second visit: <br />18b. Data entry status after second visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for question 18a and 18b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: Households that had a second interview [universe unverifiable] 2011 2011 9998 Unknown 9999 NIU (not in universe) This variable indicates the year of the second interview. IPUMS Data entry status after second visit 16. Date of second interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />17a. Time second interview started _ _: _ _ __ <br />17b. Time second interview ended _ _: _ _ __ <br />18a. Interview status after second visit: <br />18b. Data entry status after second visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for question 18a and 18b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: Households that had a second interview [universe unverifiable] 1 Complete, no questionnaire errors 2 Complete, with questionnaire errors 3 Not complete 8 Unknown 9 NIU (not in universe) This variable indicates the data entry status after the second visit. IPUMS Day of third interview 19. Date of third interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />20a. Time third interview started _ _: _ _ __ <br />20b. Time third interview ended _ _: _ _ __ <br />21a. Interview status after third visit: <br />21b. Data entry status after third visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for question 21a and 21b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: Households that had a third interview [universe unverifiable] 02 2 03 3 05 5 06 6 07 7 10 10 14 14 15 15 18 18 20 20 22 22 23 23 25 25 26 26 27 27 28 28 29 29 30 30 31 31 98 Unknown 99 NIU (not in universe) This variable indicates the day of the third interview. IPUMS Month of third interview 19. Date of third interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />20a. Time third interview started _ _: _ _ __ <br />20b. Time third interview ended _ _: _ _ __ <br />21a. Interview status after third visit: <br />21b. Data entry status after third visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for question 21a and 21b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: Households that had a third interview [universe unverifiable] 2 2 3 3 4 4 6 6 8 Unknown 9 NIU (not in universe) This variable indicates the month of the third interview. IPUMS Year of third interview 19. Date of third interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />20a. Time third interview started _ _: _ _ __ <br />20b. Time third interview ended _ _: _ _ __ <br />21a. Interview status after third visit: <br />21b. Data entry status after third visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for question 21a and 21b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: Households that had a third interview [universe unverifiable] 2011 2011 9998 Unknown 9999 NIU (not in universe) This variable indicates the year of the third interview. IPUMS Data entry status after third visit 19. Date of third interview _ _ / _ _ / _ _ _ _ [Day/Month/Year] <br />20a. Time third interview started _ _: _ _ __ <br />20b. Time third interview ended _ _: _ _ __ <br />21a. Interview status after third visit: <br />21b. Data entry status after third visit: <br />Cover _ <br />Section 1: Roster _ <br />Section 2: Education _ <br />Section 3: Labour _ <br />Section 4: Credit/savings _ <br />Section 5: Assets _ <br />Section 6: Non-farm enterprise _ <br />Section 7: Food expense _ <br />Section 8: Non-food expense _ <br />Section 9: Food security _ <br />Section 10: Other income _ <br />Agriculture questionnaire _</p> <p>[Response codes for question 21a and 21b]</p> <div class="i1">[ ] 1-complete, no questionnaire errors<br />[ ] 2?complete, with questionnaire errors<br />[ ] 3?not complete</div> Nigeria 2010: Households that had a third interview [universe unverifiable] 1 Complete, no questionnaire errors 2 Complete, with questionnaire errors 3 Not complete 8 Unknown 9 NIU (not in universe) This variable indicates the data entry status after the third visit. IPUMS Status of questionnaire <span class="em">This section to be completed by supervisor</span> <br />1. Status of questionnaire _ <br />2. Status of data entry _</p> <div class="i1">Response status<br /><br />[ ] 1. Completed<br />[ ] 2. Partially completed<br />[ ] 3. Not at Home<br />[ ] 4. Refused<br />[ ] 5. Household not located<br />[ ] 6. Moved away<br />[ ] 7. Other (specify)</div> Nigeria 2010: All households 1 Completed 2 Partially completed 3 Not at home 4 Refused 5 Household not located 6 Moved away 7 Other 9 Unknown This variable indicates the status of the questionnaire. IPUMS Status of data entry <span class="em">This section to be completed by supervisor</span> <br />1. Status of questionnaire _ <br />2. Status of data entry _</p> <div class="i1">Response status<br /><br />[ ] 1. Completed<br />[ ] 2. Partially completed<br />[ ] 3. Not at Home<br />[ ] 4. Refused<br />[ ] 5. Household not located<br />[ ] 6. Moved away<br />[ ] 7. Other (specify)</div> Nigeria 2010: All households 1 Completed 2 Partially completed 3 Not at home 4 Refused 5 Household not located 6 Moved away 7 Other 9 Unknown This variable indicates the status of data entry. IPUMS Split-off household Nigeria 2010: All households 1 Yes 2 No 9 Unknown This variable indicates that this is a split-off household. IPUMS Tenure status 1. Do you own or are you purchasing this dwelling, is it provided to you by an employer, do you use it for free, or do you rent this house?</p> <div class="i1">[ ] 1 Owned<br />[ ] 2 Employer provides (go to q3)<br />[ ] 3 Free, authorized (go to q3)<br />[ ] 4 Free, not authorized (go to q3)<br />[ ] 5 Rented (go to q4)</div> Nigeria 2010: All households 1 Owned 2 Provided by employer 3 Free, authorised 4 Free, not authorised 5 Rented 9 Unknown This variable indicates the tenure status. IPUMS Estimated market value of dwelling today 2. If you sold this dwelling today, how much would you receive for it?</p> <div class="i1">____ Naira</div> Nigeria 2010: All households This variable indicates the estimated market value of the dwelling in Nigerian Naira. This is a 8-digit numeric variable with 0 implied decimal places IPUMS Estimated monthly rent household could receive for dwelling 3. Estimate the rent you could receive if you rented this dwelling? </p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] Month<br />[ ] Year<br /><br />(Go to q5)</div> Nigeria 2010: All households This variable indicates the estimated monthly rent in Nigerian Naira that could be collected by the household if they were to rent their dwelling. This is a 8-digit numeric variable with 0 implied decimal places IPUMS Time unit for estimated rent 3. Estimate the rent you could receive if you rented this dwelling? </p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] Month<br />[ ] Year<br /><br />(Go to q5)</div> Nigeria 2010: All households 1 Month 2 Year 9 Unknown This variable indicates the unit of time for the estimated rent. IPUMS Rent paid 4. How much do you pay to rent this dwelling?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] Month<br />[ ] Year</div> Nigeria 2010: Households that rent [discrepancies: type I 1.4%; type II .2%] 0000000 0000001 1 0000002 2 0000005 5 0000010 10 0000018 18 0000024 24 0000050 50 0000100 100 0000120 120 0000200 200 0000250 250 0000300 300 0000350 350 0000375 375 0000400 400 0000450 450 0000500 500 0000600 600 0000700 700 0000750 750 0000800 800 0000860 860 0000900 900 0001000 1000 0001200 1200 0001250 1250 0001300 1300 0001400 1400 0001500 1500 0001600 1600 0001800 1800 0002000 2000 0002100 2100 0002200 2200 0002400 2400 0002500 2500 0002800 2800 0002920 2920 0003000 3000 0003500 3500 0003600 3600 0004000 4000 0004050 4050 0004200 4200 0004500 4500 0004800 4800 0005000 5000 0005800 5800 0006000 6000 0006500 6500 0007000 7000 0007500 7500 0008000 8000 0008400 8400 0008700 8700 0009000 9000 0009600 9600 0010000 10000 0010800 10800 0012000 12000 0012500 12500 0014000 14000 0014400 14400 0015000 15000 0016000 16000 0016800 16800 0017000 17000 0018000 18000 0018600 18600 0020000 20000 0020500 20500 0023500 23500 0024000 24000 0025000 25000 0027000 27000 0028000 28000 0030000 30000 0031000 31000 0035000 35000 0036000 36000 0040000 40000 0041000 41000 0042000 42000 0043000 43000 0045000 45000 0048000 48000 0049000 49000 0050000 50000 0052000 52000 0054000 54000 0055000 55000 0056000 56000 0058000 58000 0060000 60000 0062000 62000 0064000 64000 0065000 65000 0066000 66000 0070000 70000 0072000 72000 0074000 74000 0075000 75000 0080000 80000 0082000 82000 0084000 84000 0085000 85000 0086000 86000 0090000 90000 0094000 94000 0096000 96000 0100000 100000 0101000 101000 0108000 108000 0110000 110000 0120000 120000 0130000 130000 0140000 140000 0144000 144000 0150000 150000 0160000 160000 0165000 165000 0170000 170000 0180000 180000 0200000 200000 0240000 240000 0250000 250000 0270000 270000 0300000 300000 0350000 350000 0400000 400000 0450000 450000 0500000 500000 0540000 540000 0650000 650000 0700000 700000 0800000 800000 1100000 1100000 8000000 8000000 9999998 Unknown 9999999 NIU (not in universe) This variable indicates the monthly rent in Nigerian Naira paid by the household for the dwelling. IPUMS Time unit for rent paid 4. How much do you pay to rent this dwelling?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] Month<br />[ ] Year</div> Nigeria 2010: Households that rent [discrepancies: type I 1.3%; type II .3%] 1 Month 2 Year 8 Unknown 9 NIU (not in universe) This variable indicates the time unit for rent paid. IPUMS Year house was built 5. In what year was this house built? </p> <div class="i1">If don't know, write 9999<br /><br />Year ____</div> Nigeria 2010: All households 1692 1692 1750 1750 1765 1765 1775 1775 1910 1910 1911 1911 1913 1913 1918 1918 1920 1920 1921 1921 1922 1922 1925 1925 1930 1930 1931 1931 1932 1932 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 9999 Unknown This variable indicates the year that the house was built. IPUMS Main wall material 6. The outer walls of the main dwelling of the household are predominantly made of what material?</p> <div class="i1">[ ] 1 Grass<br />[ ] 2 Mud<br />[ ] 3 Compacted earth<br />[ ] 4 Mud brick (unfired)<br />[ ] 5 Burnt bricks<br />[ ] 6 Concrete<br />[ ] 7 Wood<br />[ ] 8 Iron sheets<br />[ ] 9 Other (specify)</div> Nigeria 2010: All households 01 Grass 02 Mud 03 Compacted earth 04 Mud brick (unfired) 05 Burnt bricks 06 Concrete 07 Wood 08 Iron sheets 09 Other 99 Unknown This variable indicates the main material of the walls of the dwelling. IPUMS Main roof material 7. The roof of the main dwelling is predominantly made of what material?</p> <div class="i1">[ ] 1 Grass<br />[ ] 2 Iron sheets<br />[ ] 3 Clay tiles<br />[ ] 4 Concrete<br />[ ] 5 Plastic sheeting<br />[ ] 6 Asbestos sheets<br />[ ] 7 Other (specify</div> Nigeria 2010: All households 1 Grass 2 Iron sheets 3 Clay tiles 4 Concrete 5 Plastic sheeting 6 Asbestos sheet 7 Other 9 Unknown This variable indicates the main material of the roof. IPUMS Main floor material 8. The floor of the main dwelling is predominantly made of what material?</p> <div class="i1">[ ] 1 Sand/dirt/straw<br />[ ] 2 Smoothed mud<br />[ ] 3 Smooth cement<br />[ ] 4 Wood<br />[ ] 5 Tile<br />[ ] 6 Other (specify)</div> Nigeria 2010: All households 1 Sand, dirt, or straw 2 Smoothed mud 3 Smooth cement 4 Wood 5 Tile 6 Other 9 Unknown This variable indicates the main floor material. IPUMS Number of rooms occupied by household members 9. How many separate rooms do the members of your household occupy? </p> <div class="i1">(Do not count bathrooms, toilets, storerooms, or garage)<br /><br />Number of rooms ____</div> Nigeria 2010: All households 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 24 24 25 25 27 27 28 28 30 30 31 31 33 33 34 34 38 38 41 41 50 50 82 82 99 Unknown This variable indicates the number of rooms occupied by household members. IPUMS Main lighting fuel 10. What is your main source of lighting fuel?</p> <div class="i1">[ ] 1 Collected firewood<br />[ ] 2 Purchased firewood<br />[ ] 3 Grass<br />[ ] 4 Kerosene<br />[ ] 5 Electricity<br />[ ] 6 Gas<br />[ ] 7 Battery or dry cell (torch)<br />[ ] 8 Candles<br />[ ] 9 Other (specify)</div> Nigeria 2010: All households 01 Collected firewood 02 Purchased firewood 03 Grass 04 Kerosene 05 Electricity 06 Gas 07 Battery or dry cell (torch) 08 Candles 09 Other 99 Unknown This variable indicates the main fuel used for lighting. IPUMS Main cooking fuel 11. What is your main source of cooking fuel?</p> <div class="i1">[ ] 1 Collected firewood<br />[ ] 2 Purchased firewood<br />[ ] 3 Coal<br />[ ] 4 Grass<br />[ ] 5 Kerosene<br />[ ] 6 Electricity<br />[ ] 7 Gas<br />[ ] 8 Battery/dry cell (torch)<br />[ ] 9 Candles<br />[ ] 10 Other (specify)</div> Nigeria 2010: All households 01 Collected firewood 02 Purchased firewood 03 Coal 04 Grass 05 Kerosene 06 Electricity 07 Gas 08 Battery or dry cell (torch) 09 Candles 10 Other 99 Unknown This variable indicates the main fuel used for cooking. IPUMS Collect firewood 12. Do you ever collect firewood?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No (go to q15)</div> Nigeria 2010: All households 1 Yes 2 No 9 Unknown This variable indicates the collection of firewood. IPUMS Firewood collection location 13. Where do you go to collect firewood?</p> <div class="i1">[ ] 1 Own woodlot<br />[ ] 2 Community woodlot<br />[ ] 3 Forest reserve<br />[ ] 4 Unfarmed area of community<br />[ ] 5 Other (specify)</div> Nigeria 2010: Households that collect firewood [type I .3%; type II 1.2%] 1 Own woodlot 2 Community woodlot 3 Forest reserve 4 Unfarmed area of community 5 Other 8 Unknown 9 NIU (not in universe) This variable indicates the firewood collection location. IPUMS Time to walk from dwelling to firewood location 14. How long does it take you to walk from your dwelling to where you usually go to collect firewood? (One way)</p> <div class="i1">Time amount ____</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Minute<br />[ ] 2 Hour</div> Nigeria 2010: Households that collect firewood [discrepancies: type I .3%; type II .4%] 0000 0001 1 0002 2 0003 3 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 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 0054 54 0055 55 0056 56 0057 57 0059 59 0060 60 0069 69 0070 70 0075 75 0080 80 0085 85 0090 90 0095 95 0100 100 0105 105 0110 110 0120 120 0130 130 0135 135 0140 140 0145 145 0150 150 0165 165 0166 166 0180 180 0200 200 0250 250 0300 300 0350 350 0400 400 0500 500 0550 550 0600 600 0800 800 0850 850 1000 1000 1020 1020 1100 1100 1200 1200 1400 1400 1500 1500 2000 2000 3000 3000 4300 4300 9998 Unknown 9999 NIU (not in universe) This variable indicates the time to walk from one's dwelling to the firewood location. IPUMS Time unit for time to walk to firewood location 14. How long does it take you to walk from your dwelling to where you usually go to collect firewood? (One way)</p> <div class="i1">Time amount ____</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Minute<br />[ ] 2 Hour</div> Nigeria 2010: Households that collect firewood [discrepancies: type I .3%; type II .4%] 1 Minute 2 Hour 8 Unknown 9 NIU (not in universe) This variable indicates the time unit to walk to the firewood location. IPUMS Proportion of firewood used in the last week that was purchased 15. Of the firewood you used in the past week, how much of it did you purchase?</p> <div class="i1">[ ] 1 Did not use firewood (go to q17)<br />[ ] 2 All<br />[ ] 3 Almost all<br />[ ] 4 More than half<br />[ ] 5 Half<br />[ ] 6 Less than half<br />[ ] 7 A little<br />[ ] 8 None</div> Nigeria 2010: All households None 1 Did not use firewood 2 All 3 Almost all 4 More than half 5 Half 6 Less than half 7 A little 9 Unknown This variable indicates the proportion of firewood used in the last week that was purchased. IPUMS Total value of firewood used in the past week 16. What is the total value of the firewood you used in the past week, whether gathered or purchased? (Estimate purchase cost of gathered firewood.)</p> <div class="i1">____ Naira</div> Nigeria 2010: All households 00000000 00000001 1 00000002 2 00000003 3 00000006 6 00000008 8 00000010 10 00000015 15 00000020 20 00000030 30 00000040 40 00000045 45 00000050 50 00000060 60 00000070 70 00000080 80 00000090 90 00000095 95 00000100 100 00000105 105 00000110 110 00000120 120 00000130 130 00000140 140 00000150 150 00000160 160 00000170 170 00000175 175 00000180 180 00000200 200 00000210 210 00000220 220 00000230 230 00000240 240 00000250 250 00000260 260 00000270 270 00000280 280 00000285 285 00000290 290 00000300 300 00000310 310 00000320 320 00000330 330 00000340 340 00000350 350 00000360 360 00000370 370 00000380 380 00000400 400 00000420 420 00000430 430 00000450 450 00000460 460 00000470 470 00000480 480 00000490 490 00000500 500 00000530 530 00000540 540 00000550 550 00000560 560 00000570 570 00000600 600 00000620 620 00000640 640 00000650 650 00000700 700 00000730 730 00000750 750 00000760 760 00000800 800 00000840 840 00000850 850 00000870 870 00000900 900 00000950 950 00001000 1000 00001050 1050 00001100 1100 00001150 1150 00001200 1200 00001250 1250 00001300 1300 00001350 1350 00001380 1380 00001400 1400 00001420 1420 00001500 1500 00001600 1600 00001700 1700 00001730 1730 00001800 1800 00001900 1900 00001950 1950 00002000 2000 00002050 2050 00002100 2100 00002150 2150 00002200 2200 00002250 2250 00002300 2300 00002350 2350 00002400 2400 00002500 2500 00002600 2600 00002700 2700 00002800 2800 00002900 2900 00003000 3000 00003200 3200 00003300 3300 00003400 3400 00003500 3500 00003600 3600 00003800 3800 00003850 3850 00003900 3900 00004000 4000 00004200 4200 00004250 4250 00004350 4350 00004500 4500 00004800 4800 00004900 4900 00005000 5000 00005200 5200 00005400 5400 00005500 5500 00005800 5800 00006000 6000 00006500 6500 00006700 6700 00006750 6750 00006800 6800 00007000 7000 00007400 7400 00008000 8000 00009000 9000 00010000 10000 00011000 11000 00012000 12000 00014000 14000 00015000 15000 00020000 20000 00021600 21600 00024000 24000 00025000 25000 00028000 28000 00030000 30000 00035000 35000 00040000 40000 00041200 41200 00050000 50000 00060000 60000 00070000 70000 00200000 200000 00300000 300000 00350000 350000 40002020 40002020 99999999 Unknown This variable indicates the total value of firewood used in the past week. IPUMS Electricity 17. Do you have electricity working in your dwelling?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No (go to q26)</div> Nigeria 2010: All households 1 Yes 2 No 9 Unknown This variable indicates electricity. IPUMS Source of energy for lighting during blackout 18. In the event of a black out, what source of energy do you use for ...?</p> <p>Lighting</p> <div class="i1">[ ] 1 Firewood<br />[ ] 2 Kerosene<br />[ ] 3 Rechargeable lamp<br />[ ] 4 Generator<br />[ ] 5 Other (specify) ____</div><p>Cooking</p> <div class="i1">[ ] 1 Charcoal<br />[ ] 2 Firewood<br />[ ] 3 Gas<br />[ ] 4 Kerosene<br />[ ] 5 Generator<br />[ ] 6 Other (specify) ____</div> Nigeria 2010: Households with electricity [discrepancies: type I .2%; type II .4%] 1 Firewood 2 Kerosene 3 Rechargeable lamp 4 Generator 5 Other 8 Unknown 9 NIU (not in universe) This variable indicates the source of energy used for lighting during a blackout. IPUMS Source of energy for cooking during blackout 18. In the event of a black out, what source of energy do you use for ...?</p> <p>Lighting</p> <div class="i1">[ ] 1 Firewood<br />[ ] 2 Kerosene<br />[ ] 3 Rechargeable lamp<br />[ ] 4 Generator<br />[ ] 5 Other (specify) ____</div><p>Cooking</p> <div class="i1">[ ] 1 Charcoal<br />[ ] 2 Firewood<br />[ ] 3 Gas<br />[ ] 4 Kerosene<br />[ ] 5 Generator<br />[ ] 6 Other (specify) ____</div> Nigeria 2010: Households with electricity [discrepancies: type I .1%; type II .7%] 1 Charcoal 2 Firewood 3 Gas 4 Kerosene 5 Generator 6 Other 8 Unknown 9 NIU (not in universe) This variable indicates the source of energy used for cooking during a blackout. IPUMS Electricity source 19. What is the source of your 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 Solar panel (go to q25)</div> Nigeria 2010: Households with electricity [discrepancies: type I .1%; type II .3%] 1 PHCN (NEPA) only 2 Rural electrification only 3 Private generator only 4 PHCN (NEPA) or generator 5 Rural electricity or generator 6 Solar panel 8 Unknown 9 NIU (not in universe) This variable indicates the electricity source. IPUMS Applied for electricity connection 20. Did you have to apply to get electricity connection?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No (go to q23)</div> Nigeria 2010: Households with electricity [discreapancies: type I .1%; type II .3%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether one applied for an electricity connection. IPUMS Time in weeks before technician came to connect electricity 21. Following your application to get connected to PHCN, how many weeks did you have to wait for a Technician to come to connection the house?</p> <div class="i1">____ Weeks</div> Nigeria 2010: Households that have applied for electricity [discrepancies type I 13.4%; type II .4%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 12 12 13 13 14 14 15 15 16 16 18 18 20 20 21 21 22 22 24 24 25 25 30 30 32 32 34 34 35 35 36 36 40 40 42 42 48 48 50 50 51 51 52 52 98 Unknown 99 NIU (not in universe) This variable indicates the time in weeks before a technician came to connect electricity. IPUMS Paid an unofficial fee for electricity connection 22. Did you have to pay an unofficial fee to get a connection?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No</div> Nigeria 2010: Households that have applied for electricity [discrepancies type I 14.2%; type II .4%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates payment of an unofficial fee to get an electricity connection. IPUMS Frequency of blackouts 23. How frequently do you experience blackouts in your area? ____ Nigeria 2010: Households with electricity [discrepancies: type I .1%; type II .3%] 1 Never 2 Every day 3 Several times a week 4 Several times a month 5 Several times a year 8 Unknown 9 NIU (not in universe) This variable indicates the frequency of blackouts in the area. IPUMS Number of hours with electricity in the last week 24. During the last 7 days, on average, how many hours of electricity has your household had from the main public system?</p> <div class="i1">____ Hours</div> Nigeria 2010: Households with electricity [discrepancies: type I trace; type II 3.3%] 000 001 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 30 032 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 58 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 070 70 072 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 92 094 94 095 95 096 96 098 98 100 100 102 102 103 103 104 104 105 105 108 108 110 110 112 112 115 115 120 120 123 123 125 125 126 126 130 130 132 132 133 133 135 135 138 138 140 140 144 144 147 147 148 148 150 150 154 154 160 160 165 165 168 168 180 180 195 195 200 200 213 213 240 240 247 247 280 280 300 300 400 400 421 421 450 450 500 500 511 511 517 517 600 600 743 743 801 801 900 900 998 Unknown 999 NIU (not in universe) This variable indicates the number of hours with electricity in the last week. IPUMS Total cost for electricity 25. What was the total cost for electricity in the household? What period does this cost refer?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Day<br />[ ] 2 Week<br />[ ] 3 Month<br />[ ] 4 Year<br /><br />(Go to q29)</div> Nigeria 2010: Households with electricity [discrepancies: type I trace; type II 5 %] 00000000 00000001 1 00000002 2 00000003 3 00000005 5 00000006 6 00000020 20 00000024 24 00000030 30 00000035 35 00000040 40 00000048 48 00000050 50 00000055 55 00000060 60 00000075 75 00000080 80 00000090 90 00000100 100 00000120 120 00000125 125 00000130 130 00000150 150 00000155 155 00000160 160 00000175 175 00000180 180 00000195 195 00000200 200 00000220 220 00000240 240 00000250 250 00000270 270 00000280 280 00000290 290 00000300 300 00000305 305 00000320 320 00000325 325 00000330 330 00000350 350 00000367 367 00000370 370 00000375 375 00000400 400 00000410 410 00000420 420 00000430 430 00000450 450 00000460 460 00000470 470 00000480 480 00000490 490 00000500 500 00000520 520 00000522 522 00000540 540 00000545 545 00000550 550 00000560 560 00000580 580 00000600 600 00000650 650 00000660 660 00000700 700 00000725 725 00000740 740 00000750 750 00000770 770 00000780 780 00000800 800 00000850 850 00000870 870 00000900 900 00000950 950 00000960 960 00000990 990 00001000 1000 00001004 1004 00001050 1050 00001100 1100 00001130 1130 00001150 1150 00001200 1200 00001207 1207 00001220 1220 00001250 1250 00001300 1300 00001315 1315 00001320 1320 00001327 1327 00001350 1350 00001353 1353 00001400 1400 00001445 1445 00001450 1450 00001500 1500 00001550 1550 00001560 1560 00001600 1600 00001620 1620 00001700 1700 00001800 1800 00001850 1850 00001900 1900 00002000 2000 00002001 2001 00002009 2009 00002040 2040 00002100 2100 00002150 2150 00002200 2200 00002300 2300 00002400 2400 00002450 2450 00002500 2500 00002600 2600 00002604 2604 00002700 2700 00002750 2750 00002800 2800 00002820 2820 00002850 2850 00002900 2900 00003000 3000 00003100 3100 00003200 3200 00003250 3250 00003500 3500 00003600 3600 00003700 3700 00004000 4000 00004300 4300 00004500 4500 00004800 4800 00005000 5000 00005200 5200 00005300 5300 00005500 5500 00005600 5600 00006000 6000 00006100 6100 00006500 6500 00007000 7000 00007500 7500 00008000 8000 00008730 8730 00010000 10000 00011000 11000 00011200 11200 00011500 11500 00012000 12000 00012855 12855 00013000 13000 00015000 15000 00017000 17000 00020000 20000 00023000 23000 00025000 25000 00030000 30000 00035000 35000 00050000 50000 00150000 150000 04000000 4000000 99999998 Unknown 99999999 NIU (not in universe) This variable indicates the household's total cost for electricity in Nigerian Naira. IPUMS Time unit for the total cost of electricity 25. What was the total cost for electricity in the household? What period does this cost refer?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Day<br />[ ] 2 Week<br />[ ] 3 Month<br />[ ] 4 Year<br /><br />(Go to q29)</div> Nigeria 2010: Households with electricity [discrepancies: type I trace; type II 5 %] 1 Day 2 Week 3 Month 4 Year 8 Unknown 9 NIU (not in universe) This variable indicates the time unit for the total cost of electricity. IPUMS Village or neighborhood access to electricity 26. Although you do not have electricity in your dwelling, does your village/neighborhood <br />have access to electricity?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No (go to q29)</div> Nigeria 2010: Households without electricity [discrepancies: type I .5%; type II .1%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates village or neighborhood access to electricity. IPUMS Reason for lack of access to electricity 27. Why does your household not have access to electricity? <br />List up to 2 reasons</p> <p>[First reason]</p> <div class="i1">[ ] 1 Connection/wiring fee unaffordable (go to q29)<br />[ ] 2 No need for electricity (go to q29)<br />[ ] 3 Dwelling inappropriate for connection (go to q29)<br />[ ] 4 Application pending<br />[ ] 5 Service too unreliable (go to q29)<br />[ ] 6 Other (specify) (go to q29)</div><p> [Second reason]</p> <div class="i1">[ ] 1 Connection/wiring fee unaffordable (go to q29)<br />[ ] 2 No need for electricity (go to q29)<br />[ ] 3 Dwelling inappropriate for connection (go to q29)<br />[ ] 4 Application pending<br />[ ] 5 Service too unreliable (go to q29)<br />[ ] 6 Other (specify) (go to q29)</div> Nigeria 2010: Households without electricity in villages that have electricity [discrepancies: type I 5.7%; type II none] 1 Connection or wiring fee unaffordable 2 No need for electricity 3 Dwelling inappropriate for connection 4 Application pending 5 Service too unreliable 8 Unknown 9 NIU (not in universe) This variable indicates the reason for the lack of access to electricity. IPUMS Secondary reason for lack of access to electricity 27. Why does your household not have access to electricity? <br />List up to 2 reasons</p> <p>[First reason]</p> <div class="i1">[ ] 1 Connection/wiring fee unaffordable (go to q29)<br />[ ] 2 No need for electricity (go to q29)<br />[ ] 3 Dwelling inappropriate for connection (go to q29)<br />[ ] 4 Application pending<br />[ ] 5 Service too unreliable (go to q29)<br />[ ] 6 Other (specify) (go to q29)</div><p> [Second reason]</p> <div class="i1">[ ] 1 Connection/wiring fee unaffordable (go to q29)<br />[ ] 2 No need for electricity (go to q29)<br />[ ] 3 Dwelling inappropriate for connection (go to q29)<br />[ ] 4 Application pending<br />[ ] 5 Service too unreliable (go to q29)<br />[ ] 6 Other (specify) (go to q29)</div> Nigeria 2010: Households without electricity in villages that have electricity [discrepancies: type I 4.8%; type II none] 1 Connection or wiring fee unaffordable 2 No need for electricity 3 Dwelling inappropriate for connection 4 Application pending 5 Service too unreliable 8 Unknown 9 NIU (not in universe) This variable indicates the secondary reason for the lack of access to electricity. IPUMS Number of weeks waited for electricity connection 28. How many weeks have you been waiting for the connection?</p> <div class="i1">____ Weeks</div> Nigeria 2010: Households that have an application for electricity pending [discrepancies: type I .4%; type II .7%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 16 16 18 18 20 20 24 24 36 36 45 45 50 50 52 52 56 56 60 60 78 78 98 Unknown 99 NIU (not in universe) This variable indicates the number of weeks waited for an electricity connection. IPUMS Landline 29. Is there a landline telephone in working condition in the dwelling unit?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No (go to q31)</div> Nigeria 2010: All households 1 Yes 2 No 9 Unknown This variable indicates if the household owns a working landline telephone. IPUMS Total cost for landline telephone service 30. What was the total cost for landline telephone in the household? What period does this cost refer?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Day<br />[ ] 2 Week<br />[ ] 3 Month<br />[ ] 4 Year</div> Nigeria 2010: Households that have a landline [discrepancies: type I trace; type II .3%] 0020 20 0200 200 0250 250 0500 500 0700 700 1000 1000 1500 1500 2000 2000 3000 3000 5000 5000 6000 6000 9998 Unknown 9999 NIU (not in universe) This variable indicates the total cost for landline telephone service. IPUMS Time unit for cost of landline telephone service 30. What was the total cost for landline telephone in the household? What period does this cost refer?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Day<br />[ ] 2 Week<br />[ ] 3 Month<br />[ ] 4 Year</div> Nigeria 2010: Households that have a landline [discrepancies: type I trace; type II .3%] 1 Day 2 Week 3 Month 4 Year 8 Unknown 9 NIU (not in universe) This variable indicates the time unit for the cost of landline telephone service. IPUMS Cell phone 31. Does someone in the household own a GSM phone (cell phone) in working condition?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No (go to q33)</div> Nigeria 2010: All households 1 Yes 2 No 9 Unknown This variable indicates ownership of a working gsm phone (cell phone). IPUMS Total cost for cell phone service for all household members last month 32. Estimate the total cost for cell phone service for all household members last month?</p> <div class="i1">____ Naira</div> Nigeria 2010: Households that have a cell phone [discrepancies: type I .5%; type II 2.9%] 00000000 00000001 1 00000002 2 00000003 3 00000004 4 00000005 5 00000006 6 00000015 15 00000016 16 00000020 20 00000050 50 00000060 60 00000100 100 00000120 120 00000150 150 00000160 160 00000200 200 00000220 220 00000250 250 00000300 300 00000350 350 00000400 400 00000440 440 00000450 450 00000500 500 00000600 600 00000630 630 00000650 650 00000660 660 00000700 700 00000750 750 00000770 770 00000800 800 00000850 850 00000880 880 00000900 900 00000950 950 00001000 1000 00001100 1100 00001150 1150 00001200 1200 00001220 1220 00001250 1250 00001300 1300 00001350 1350 00001400 1400 00001410 1410 00001420 1420 00001500 1500 00001550 1550 00001600 1600 00001700 1700 00001750 1750 00001800 1800 00001850 1850 00001900 1900 00001950 1950 00002000 2000 00002006 2006 00002100 2100 00002200 2200 00002300 2300 00002400 2400 00002500 2500 00002600 2600 00002650 2650 00002700 2700 00002800 2800 00002900 2900 00003000 3000 00003050 3050 00003100 3100 00003200 3200 00003300 3300 00003400 3400 00003458 3458 00003500 3500 00003600 3600 00003700 3700 00003800 3800 00004000 4000 00004200 4200 00004300 4300 00004350 4350 00004400 4400 00004500 4500 00004600 4600 00004650 4650 00004700 4700 00004800 4800 00004900 4900 00005000 5000 00005200 5200 00005240 5240 00005250 5250 00005300 5300 00005400 5400 00005500 5500 00005600 5600 00006000 6000 00006200 6200 00006300 6300 00006500 6500 00006750 6750 00006800 6800 00007000 7000 00007300 7300 00007400 7400 00007450 7450 00007500 7500 00007600 7600 00007650 7650 00007800 7800 00008000 8000 00008500 8500 00008600 8600 00009000 9000 00009500 9500 00009999 9999 00010000 10000 00010003 10003 00010200 10200 00010500 10500 00010600 10600 00011000 11000 00012000 12000 00012500 12500 00013000 13000 00013500 13500 00014000 14000 00015000 15000 00015003 15003 00015100 15100 00015500 15500 00015600 15600 00015700 15700 00016000 16000 00017000 17000 00018000 18000 00019000 19000 00020000 20000 00020500 20500 00021000 21000 00021700 21700 00022000 22000 00023000 23000 00024000 24000 00025000 25000 00026000 26000 00028000 28000 00029000 29000 00030000 30000 00030500 30500 00031000 31000 00035000 35000 00037200 37200 00040000 40000 00040200 40200 00045000 45000 00047000 47000 00050000 50000 00060000 60000 00072000 72000 00075000 75000 00100000 100000 00170000 170000 00200300 200300 00500000 500000 99999998 Unknown 99999999 NIU (not in universe) This variable indicates the total cost for cell phone service for all household members last month. IPUMS Main source of drinking water during dry season 33. What was your main source of drinking water?</p> <p>Dry season</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 River/spring<br />[ ] 7 Lake/reservoir<br />[ ] 8 Rain water<br />[ ] 9 Tanker/truck/vendor<br />[ ] 10 Other (specify)</div><p>Wet season</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 River/spring<br />[ ] 7 Lake/reservoir<br />[ ] 8 Rain water<br />[ ] 9 Tanker/truck/vendor<br />[ ] 10 Other (specify)</div> Nigeria 2010: All households 01 Pipe borne water treated 02 Pipe borne water untreated 03 Bore hole or hand pump 04 Well or spring protected 05 Well or spring unprotected 06 River or spring 07 Lake or reservoir 08 Rain water 09 Tanker, truck, or vendor 10 Other 99 Unknown This variable indicates the main source of drinking water during the dry season. IPUMS Main source of drinking water during wet season 33. What was your main source of drinking water?</p> <p>Dry season</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 River/spring<br />[ ] 7 Lake/reservoir<br />[ ] 8 Rain water<br />[ ] 9 Tanker/truck/vendor<br />[ ] 10 Other (specify)</div><p>Wet season</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 River/spring<br />[ ] 7 Lake/reservoir<br />[ ] 8 Rain water<br />[ ] 9 Tanker/truck/vendor<br />[ ] 10 Other (specify)</div> Nigeria 2010: All households 01 Pipe borne water treated 02 Pipe borne water untreated 03 Bore hole or hand pump 04 Well or spring protected 05 Well or spring unprotected 06 River or spring 07 Lake or reservoir 08 Rain water 09 Tanker, truck, or vendor 10 Other 99 Unknown This variable indicates the main source of drinking water during the wet season. IPUMS Time to walk to water source 34. How long does it take you to walk (one way) to the water source from your dwelling?</p> <div class="i1">House or in yard write 0 in time amount<br /><br />Time amount ____</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Minute<br />[ ] 2 Hour</div> Nigeria 2010: All households 0000 0001 1 0002 2 0003 3 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 0055 55 0056 56 0060 60 0065 65 0067 67 0068 68 0070 70 0075 75 0080 80 0090 90 0095 95 0100 100 0105 105 0110 110 0120 120 0130 130 0140 140 0145 145 0149 149 0150 150 0180 180 0200 200 0212 212 0250 250 0300 300 0400 400 0415 415 0500 500 0600 600 0750 750 0800 800 0900 900 1000 1000 1200 1200 1300 1300 1500 1500 1600 1600 1800 1800 2000 2000 2400 2400 4000 4000 6000 6000 9999 Unknown This variable indicates the time to walk (one-way) from the dwelling to the water source. IPUMS Unit for time to walk to water source 34. How long does it take you to walk (one way) to the water source from your dwelling?</p> <div class="i1">House or in yard write 0 in time amount<br /><br />Time amount ____</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Minute<br />[ ] 2 Hour</div> Nigeria 2010: All households 1 Minute 2 Hour 9 Unknown This variable indicates the time unit for time to walk from the dwelling to the water source. IPUMS Total cost for household drinking water last month 35. What was the total cost of drinking water for your household last month?</p> <div class="i1">Enter "zero" if none<br /><br />____ Naira</div> Nigeria 2010: All households 00000 00001 1 00002 2 00003 3 00004 4 00005 5 00006 6 00007 7 00008 8 00010 10 00012 12 00015 15 00020 20 00025 25 00030 30 00040 40 00045 45 00050 50 00060 60 00070 70 00080 80 00090 90 00099 99 00100 100 00105 105 00120 120 00130 130 00140 140 00150 150 00160 160 00170 170 00180 180 00200 200 00210 210 00220 220 00240 240 00250 250 00270 270 00280 280 00300 300 00310 310 00320 320 00350 350 00360 360 00370 370 00400 400 00420 420 00450 450 00470 470 00480 480 00490 490 00500 500 00520 520 00550 550 00560 560 00580 580 00600 600 00620 620 00640 640 00650 650 00680 680 00700 700 00720 720 00750 750 00800 800 00840 840 00850 850 00900 900 00950 950 00960 960 01000 1000 01020 1020 01050 1050 01100 1100 01200 1200 01250 1250 01280 1280 01300 1300 01350 1350 01360 1360 01400 1400 01500 1500 01550 1550 01600 1600 01700 1700 01800 1800 01860 1860 01920 1920 02000 2000 02010 2010 02100 2100 02240 2240 02250 2250 02400 2400 02480 2480 02500 2500 02600 2600 02700 2700 02800 2800 03000 3000 03100 3100 03200 3200 03500 3500 03600 3600 04000 4000 04500 4500 05000 5000 06000 6000 06800 6800 07000 7000 07200 7200 07500 7500 08000 8000 09210 9210 10000 10000 10500 10500 10800 10800 12000 12000 14000 14000 15000 15000 16000 16000 17000 17000 21000 21000 30000 30000 40000 40000 60000 60000 99999 Unknown This variable indicates the total cost for household drinking water last month. IPUMS Toilet facility 36. What kind of toilet facility does your household use?</p> <div class="i1">[ ] 1 None (go to q38)<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 (specify) ____</div> Nigeria 2010: All households 01 None 02 Toilet on water 03 Flush to sewage 04 Flush to septic tank 05 Pail or bucket 06 Covered pit latrine 07 Uncovered pit latrine 08 Ventilated improved pit latrine (VIP) 09 Other 99 Unknown This variable indicates the type of toilet facility. IPUMS Shared toilet use 37. Is this toilet facility for the use of:</p> <div class="i1">[ ] 1 Hh members only<br />[ ] 2 Other hh also</div> Nigeria 2010: All households 1 Household members only 2 Other households also 9 Unknown This variable indicates shared toilet use. IPUMS Refuse disposal 38. What kind of refuse disposal facilities does your household use?</p> <div class="i1">[ ] 1 Hh bin collected by government<br />[ ] 2 Hh bin collected by private agency<br />[ ] 3 Government bin or shed<br />[ ] 4 Disposal within compound<br />[ ] 5 Unauthorised refuse heap<br />[ ] 6 Other (specify)<br />[ ] 7 None (go to next section)</div> Nigeria 2010: All households 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 7 None 9 Unknown This variable indicates the main type of refuse disposal . IPUMS Amount spent on refuse disposal last month 39. How much did you spend on refuse disposal in the last month?</p> <div class="i1">____ Naira</div> Nigeria 2010: All households 00000 00001 1 00002 2 00003 3 00004 4 00005 5 00006 6 00007 7 00010 10 00020 20 00025 25 00030 30 00040 40 00050 50 00060 60 00070 70 00080 80 00100 100 00120 120 00140 140 00150 150 00160 160 00180 180 00200 200 00220 220 00240 240 00250 250 00260 260 00280 280 00300 300 00350 350 00360 360 00400 400 00420 420 00450 450 00480 480 00500 500 00550 550 00580 580 00600 600 00650 650 00700 700 00750 750 00800 800 00900 900 01000 1000 01100 1100 01200 1200 01300 1300 01400 1400 01500 1500 01600 1600 02000 2000 02400 2400 02500 2500 02550 2550 02800 2800 03000 3000 03300 3300 03600 3600 04000 4000 05000 5000 06000 6000 09000 9000 09600 9600 12000 12000 15000 15000 99999 Unknown This variable indicates the amount spent on refuse disposal last month. IPUMS Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. IPUMS Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother IPUMS Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father IPUMS Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse IPUMS Rule for linking parent 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Rule for linking spouse 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Probable stepmother Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. IPUMS Probable stepfather Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. IPUMS Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. IPUMS Number of own family members in household 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). IPUMS Number of own children in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Number of own children under age 5 in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Age of eldest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. IPUMS Age of youngest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. IPUMS Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to household head [detailed version] 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Age 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. IPUMS Age, grouped into intervals 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown AGE2 gives computed years of age grouped into intervals. IPUMS Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. IPUMS Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Marital status [detailed version] 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Consensual union 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. IPUMS Polygamous union 00 NIU (not in universe) 01 No, in monogamous union 02 Yes, in polygamous union 03 Man in polygamous union 04 Polygamous man, 2 wives 05 Polygamous man, 3 or more wives 06 Woman in polygamous union 07 Polygamous marriage, 2 wives 08 Polygamous marriage, 3 or more wives 09 First wife 10 Second wife 11 Third or higher order wife 99 Unknown/missing POLYGAM indicates whether the respondent was in a polygamous union and, in some samples, the number of wives or the rank order of the wife. IPUMS Duration of current marriage or union 00 Less than 1 year 01 1 year 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ 98 Unknown 99 NIU (not in universe) DURMARR reports the duration of the respondent's current marriage or union, or, in some cases, the total years spent within marriage. IPUMS Year of birth 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown BIRTHYR gives the person's year of birth. IPUMS Month of birth 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) BIRTHMO indicates the person's month of birth. IPUMS Mortality status of mother 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) MORTMOT indicates whether the person's biological mother was still living at the time of the census. IPUMS Mortality status of father 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) MORTFAT indicates whether the person's biological father was still living. IPUMS Religion [general version] NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown RELIGION indicates the person's religion, including "none." IPUMS Religion [detailed version] 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown RELIGION indicates the person's religion, including "none." IPUMS School attendance NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing 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. IPUMS Literacy NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. IPUMS Educational attainment, international recode [general version] NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. IPUMS Educational attainment, international recode [detailed version] 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. IPUMS Years of schooling 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) 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. IPUMS Educational attainment, Nigeria 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 EDUCNG indicates the person's educational attainment in Nigeria in terms of the level of schooling completed. IPUMS Reason for leaving school 00 NIU (not in universe) 10 Finished studies 20 Financial considerations 21 Insufficient economic means 22 Working 30 Access to a school 31 School too far away 32 No school (or teacher) available 33 No higher grades offered 34 No places available in school 40 Family reasons 41 Parents think it is not important 42 Family required for household tasks 43 Marriage or pregnancy 44 Got married or entered a consensual union 45 Pregnancy 46 Separation or death of parents 50 Other reasons 51 Never attended school 52 Did not want to attend or to study 53 Too young to attend 54 Too old to attend 55 Illness/disability 56 No required documentation available to enroll 57 Academic issues 58 Learning outside of school 59 Other, not elsewhere classified 99 Unknown/missing LEFTSCH reports the primary reason the respondent cited for leaving school. IPUMS Activity status (employment status) [general version] NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". IPUMS Activity status (employment status) [detailed version] 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 310 Housework 320 Unable to work, disabled or health reasons 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". IPUMS Labor force participation 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. IPUMS Occupation, ISCO general 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. IPUMS Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2011 Austria 1971-2001 - German Belarus 1999 - Russian Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1985 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 1976 Cameroon 2005 Canada 1971 Canada 1981-1991 Canada 2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 China 1982 China 1990 China 2000 Colombia 1964 Colombia 1973 - Spanish Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d'Ivoire 1988 Cote d'Ivoire 1998 Cuba 2002 Cuba 2012 Denmark 1845 Denmark 1880 Denmark 1885 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1974 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971-1991 - Greek Greece 2001 - Greek Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 1996 Guinea 2014 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 1988 Honduras 2001 Hungary 1970-1990 Hungary 2001 Hungary 2011 India 1983-2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2005 Iran 2006 Iran 2011 Iraq 1997 Ireland 1901 Ireland 1911 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kenya 1989 Kyrgyz Republic 1999 Laos 1995 Lesotho 1996 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico Surveys 2005-2020 Mongolia 2000 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970 - Spanish Panama 1980 - Spanish Panama 1990 - Spanish Panama 2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 1990 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 2000 Philippines 2010 Poland 1978 Poland 1988 Poland 2002 Portugal 1981 - Portuguese Portugal 1991 - Portuguese Portugal 2001 - Portuguese Portugal 2011 Puerto Rico 1970 Puerto Rico 1980 Puerto Rico 1990 Puerto Rico 2000-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2002 Senegal 2013 Slovak Republic 1991 Slovak Republic 2001 Slovak Republic 2011 Sierra Leone 2004 Sierra Leone 2015 Slovenia 2002 South Africa 1996 South Africa 2001 South Africa 2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970 Switzerland 1980 Switzerland 1990 Switzerland 2000 Switzerland 2011 Tanzania 1988 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1960 Togo 1970 Togo 2010 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Trinidad and Tobago 2011 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 1991 Uganda 2002 Uganda 2014 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1975 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 Zimbabwe 2012 IPUMS Occupation, ISCO-1988, 3-digit 010 Armed forces 111 Legislators 112 Senior government officials 113 Traditional chiefs and heads of villages 114 Senior officials of special-interest organizations 121 Directors and chief executives 122 Production and operations department managers 123 Other department managers 131 General managers 199 Legislators, senior officials and managers not elsewhere classified 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 299 Professionals no elsewhere classified 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipment operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 331 Primary education teaching associate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government associate professionals 345 Police inspectors and detectives 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 399 Technicians and associate professionals not elsewhere classified 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 499 Clerks not elsewhere classified 511 Travel attendants and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 515 Astrologers, fortune-tellers and related workers 516 Protective services workers 521 Fashion and other models 522 Shop salespersons and demonstrators 523 Stall and market salespersons 599 Service workers and shop and market sales workers not elsewhere classified 611 Market gardeners and crop growers 612 Market-oriented animal producers and related workers 613 Market-oriented crop and animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 621 Subsistence agricultural and fishery workers 699 Skilled agricultural and fishery workers not elsewhere classified 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related trades workers 721 Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers 722 Blacksmiths, tool-makers and related trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics and fitters 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 733 Handicraft workers in wood, textile, leather and related materials 734 Printing and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 799 Craft and related trade workers not elsewhere classified 811 Mining- and mineral-processing-plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 817 Automated-assembly-line and industrial-robot operators 821 Metal- and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 824 Wood-products machine operators 825 Printing-, binding- and paper-products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operators 828 Assemblers 829 Other machine operators and assemblers 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 Ships' deck crews and related workers 899 Other plant and machine operaters and assemblers not elsewhere classified 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 921 Agricultural, fishery and related labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 989 Elementary occupations not elsewhere classified 990 Other workers, not elsewhere classified 998 Unknown 999 NIU (not in universe) ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification. IPUMS Industry, general recode 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. IPUMS Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2001 Armenia 2011 Austria 1971-2001 - German Austria 2011 Bangladesh 1991 Bangladesh 2001 Bangladesh 2011 Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 2005 Canada 1971 Canada 1981 Canada 1991-2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 Chile 2017 China 1982 China 1990 China 2000 Colombia 1964 - Spanish Colombia 1973 - Spanish Colombia 1993 - Spanish Colombia 2005 - Spanish Costa Rica 1963 Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d’Ivoire 1988 Cote d’Ivoire 1998 Cuba 2002 Cuba 2012 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 1996 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1966 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1968 - French France 1975-1982 - French France 1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1971 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971 Greece 1981 Greece 1991-2001 Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 2014 Haiti 1971 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 2001 Hungary 2001 Hungary 2011 India 1983 India 1987 India 1993 India 1999 India 2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2000 Indonesia 2005 Indonesia 2010 Iran 2006 Iran 2011 Iraq 1997 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2013 Italy Surveys 2014-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kyrgyz Republic 1999 Kyrgyz Republic 2009 Laos 1995 Laos 2005 Laos 2015 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico surveys 2005-2019 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2006 Nigeria 2007 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970-1980 - Spanish Panama 1990-2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 1995 Philippines 2000 Philippines 2010 Poland 1978 Poland 2002 Portugal 1981 - Portuguese Portugal 1991-2001 - Portuguese Portugal 2011 Puerto Rico 1970-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2013 Sierra Leone 2004 South Africa 1996 South Africa 2001-2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970-2000 Switzerland 2011 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1970 Togo 2010 Trinidad and Tobago 1980 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 2002 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1985 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 IPUMS Has a secondary or additional jobs 1 No, only 1 job 2 Yes, has 2+ jobs 8 Unknown 9 NIU (not in universe) WRKADD indicates whether the respondent has more than one job. IPUMS Sector of employment 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 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. IPUMS Months worked last year 00 Less than one month 01 1 month 02 2 months 03 3 months 04 4 months 05 5 months 06 6 months 07 7 months 08 8 months 09 9 months 10 10 months 11 11 months 12 12 months 98 Not reported/unknown 99 NIU (not in universe) WRKMTHS gives the number of months that the respondent worked for profit, pay, or as an unpaid family worker during the previous year. IPUMS Actual hours worked per week 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 998 Unknown 999 NIU (not in universe) HRSACTUAL1 indicates the actual number of hours the respondent worked per week at all jobs.ss IPUMS Actual hours worked per week, categorized None 1 1 to 14 hours (except tt1980, tt1990, and tt2000) 2 15 to 29 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40 to 48 hours (except tt1980, tt1990, and tt2000) 5 49 hours or more (except tt2000) 8 Unknown 9 NIU (not in universe) HRSACTUAL2 indicates the actual number of hours the respondent worked per week at all jobs, categorized into intervals. IPUMS Hours worked in main 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) HRSMAIN indicates the number of hours the respondent worked per week in jobs related to their primary occupation. IPUMS Hours worked outside of main occupation 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) 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. IPUMS Would like to work more hours 1 Yes, would like to work more hours 2 No, the same or less hours 8 Unknown 9 NIU (Not in universe) WRKMORE indicates whether the respondent wanted to work additional hours. IPUMS Available to work 1 Yes 2 No 8 Unknown 9 NIU (Not in universe) WRKAVAIL indicates whether a person is available to work (readiness) within a short period of time. IPUMS Person number (within household) Nigeria 2010: All persons 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 This variable indicates the person number (within household). IPUMS Sex 2. What is the sex of [name]?</p> <div class="i1">[ ] 1 Male<br />[ ] 2 Female</div> Nigeria 2010: All persons 1 Male 2 Female 9 Unknown This variable indicates sex. IPUMS Person weight Nigeria 2010: All persons This variable indicates the person weight. This is a 4-digit numeric variable with 0 implied decimal places IPUMS Relationship to head of household 3. What is [name]'s relationship to the head of household?</p> <div class="i1">[ ] 1 Head<br />[ ] 2 Spouse<br />[ ] 3 Own child<br />[ ] 4 Step child<br />[ ] 5 Adopted child<br />[ ] 6 Grandchild<br />[ ] 7 Brother/sister<br />[ ] 8 Niece/nephew<br />[ ] 9 Brother/sister-in-law<br />[ ] 10 Parent<br />[ ] 11 Parent-in-law<br />[ ] 12 Domestic help (resident)<br />[ ] 13 Domestic help (non-resident)<br />[ ] 14 Other relation (specify)<br />[ ] 15 Other non-relation (specify)</div> Nigeria 2010: All persons 01 Head 02 Spouse 03 Own child 04 Stepchild 05 Adopted child 06 Grandchild 07 Brother or sister 08 Niece or nephew 09 Brother-in-law or sister-in-law 10 Parent 11 Parent-in-law 12 Domestic help (resident) 13 Domestic help (non-resident) 14 Other relation 15 Other non-relation 16 Second or higher order head 99 Unknown This variable indicates the relationship to the head of the household. IPUMS Age 4. How old is [name] (completed year)?</p> <div class="i1">____ Years<br /><br />If respondent doesn't know, use year of birth to calculate age or use major events listed in enumerator manual to prompt respondent.<br /><br />Check that age in question 4 and year of birth in question 5 are consistent.</div> Nigeria 2010: All persons 000 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Unknown This variable indicates age. IPUMS Month of birth 5. In what day, month, and year was [name] born?</p> <div class="i1">Put "99" for months and "9999" for years if don't know<br /><br />Day ____<br />Month ____<br />Year ____</div> Nigeria 2010: All persons 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown This variable indicates the month of birth. IPUMS Year of birth 5. In what day, month, and year was [name] born?</p> <div class="i1">Put "99" for months and "9999" for years if don't know<br /><br />Day ____<br />Month ____<br />Year ____</div> Nigeria 2010: All persons 1840 1840 1879 1879 1896 1896 1899 1899 1900 1900 1901 1901 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 9999 Unknown This variable indicates the year of birth. IPUMS Member of household 7. Is this person a member of the household? </p> <div class="i1">Exclude domestic help (non resident) from q3. Exclude individuals who have not been resident in the household for more than 6 months (q6). Include new babies and new spouses in the household.<br /><br />[ ] 1 Yes<br />[ ] 2 No</div> Nigeria 2010: All persons 1 Yes 2 No 9 Unknown This variable indicates a member of household. IPUMS Marital status 8. What is [name]'s marital status?</p> <div class="i1">[ ] 1 Married (monogamous)<br />[ ] 2 married (polygamous)<br />[ ] 3 Informal union<br />[ ] 4 divorced (go to q12) <br />[ ] 5 separated (go to q12)<br />[ ] 6 Widowed (go to q12)<br />[ ] 7 Never married (go to q12)<br /><br />[If response is 4-7, go to question 12]</div> Nigeria 2010: All persons 1 Married (monogamous) 2 Married (polygamous) 3 Informal union 4 Divorced 5 Separated 6 Widowed 7 Never married 9 Unknown This variable indicates marital status. IPUMS Year married to current spouse 9. In what year did you get married to your current spouse?</p> <div class="i1">Year ____<br /><br />If male with multiple wives, state year of marriage to first wife</div> Nigeria 2010: Persons who are married [discrepancies type I .2%; type II 1.3%] 1921 1921 1922 1922 1923 1923 1925 1925 1929 1929 1930 1930 1931 1931 1933 1933 1934 1934 1935 1935 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 9998 Unknown 9999 NIU This variable indicates the year of marriage to the current spouse. IPUMS Spouse or partner lives in the household 10. Does [name]'s spouse/partner live in this household now?</p> <div class="i1">Ask about first wife for respondent with multiple wives<br /><br />[ ] 1 Yes<br />[ ] 2 No (go to q12)</div> Nigeria 2010: Persons who are married [discrepancies: type I .5%; type II .4%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the spouse or partner lives in the household. IPUMS Religion 12. What is [name]'s main religion?</p> <div class="i1">[ ] 1 Christianity<br />[ ] 2 Islam<br />[ ] 3 Traditional<br />[ ] 4 Others</div> Nigeria 2010: All persons 1 Christianity 2 Islam 3 Traditional 4 Other 9 Unknown This variable indicates the religion. IPUMS Biological father lives in the household 13. Does [name]'s biological father live in this household?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No (go to q15)<br /><br />[If no, go to question 15]</div> Nigeria 2010: All persons 1 Yes 2 No 9 Unknown This variable indicates whether the biological father lives in the household. IPUMS Identification number of biological father 14. What is the individual ID of [name]'s biological father? ____</p> <div class="i1">Copy ID from roster<br /><br />[Go to q18]</div> Nigeria 2010: All persons 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 16 16 17 17 18 18 26 26 34 34 41 41 51 51 52 52 99 Unknown This variable indicates the identification number of the biological father. IPUMS Biological father alive 15. Is [name]'s biological father alive?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No</div> Nigeria 2010: Persons whose father does not live in the household [discrepancies: type 1 2%; type II .2%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the biological father is alive. IPUMS Highest education level completed by biological father 16. What is/was [name]'s biological father's highest educational level completed?</p> <div class="i1">[ ] 00 None<br />[ ] 01 N1<br />[ ] 02 N2<br />[ ] 11 P1<br />[ ] 12 P2<br />[ ] 13 P3<br />[ ] 14 P4<br />[ ] 15 P5<br />[ ] 16 P6<br />[ ] 21 JS1<br />[ ] 22 JS2<br />[ ] 23 JS3<br />[ ] 24 SS1<br />[ ] 25 SS2<br />[ ] 26 SS3<br />[ ] 27 Lower 6<br />[ ] 28 Upper 6<br />[ ] 31 Teacher training<br />[ ] 32 Vocational/technical<br />[ ] 33 Modern school<br />[ ] 34 NCE<br />[ ] 41 Poly/prof<br />[ ] 42 1st degree<br />[ ] 43 Higher degree<br />[ ] 51 Quaranic<br />[ ] 52 Quaranic integrated<br />[ ] 61 Adult education</div> Nigeria 2010: Persons whose father does not live in the household [discrepancies: type 1 2%; type II .2%] 00 None 01 Nursery 1 02 Nursery 2 11 Primary 1 12 Primary 2 13 Primary 3 14 Primary 4 15 Primary 5 16 Primary 6 21 JSS 1 22 JSS 2 23 JSS 3 24 SSS 1 25 SSS 2 26 SSS 3 27 Lower 6 28 Upper 6 31 Teacher training 32 Vocational or technical 33 Modern school 34 National Certificate of Education (NCE) 41 Polytechnic or professional 42 1st degree 43 Higher degree 51 Quaranic 52 Quaranic integrated 61 Adult education 98 Unknown 99 NIU (not in universe) This variable indicates the highest level of education completed by the biological father. IPUMS Biological father's industry of occupation 17. What is/was [name]'s biological father's main industry of occupation?</p> <div class="i1">[ ] 1 Agriculture<br />[ ] 2 Mining<br />[ ] 3 Manufacturing<br />[ ] 4 Professional, scientific, or technical activities<br />[ ] 5 Electricity<br />[ ] 6 Construction<br />[ ] 7 Transportation<br />[ ] 8 Buying and selling<br />[ ] 9 Financial/insurance/real est. Services<br />[ ] 10 Personal services<br />[ ] 11 Education<br />[ ] 12 Health<br />[ ] 13 Public administration<br />[ ] 14 Other, specify ____</div> Nigeria 2010: Persons whose father does not live in the household [discrepancies: type I 1.7%; type II 2.0%] 00 None 01 Agriculture 02 Mining 03 Manufacturing 04 Professional, scientific, or technical activities 05 Electricity 06 Construction 07 Transportation 08 Buying and selling 09 Financial or insurance or real estate services 10 Personal services 11 Education 12 Health 13 Public administration 14 Other 98 Unknown 99 NIU (not in universe) This variable indicates the biological father's industry of occupation. IPUMS Biological mother lives in the household 18. Does [name]'s biological mother live in this household?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No (go to q20)</div> Nigeria 2010: All persons 1 Yes 2 No 9 Unknown This variable indicates whether the biological mother lives in the household. IPUMS Identification number of biological mother 19. What is the individual ID of [name]'s biological mother? ____</p> <div class="i1">Copy ID from Roster. <br /><br />(Go to next person)</div> Nigeria 2010: All persons 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 26 26 31 31 32 32 34 34 41 41 42 42 51 51 52 52 99 Unknown This variable indicates the identification number of the biological mother. IPUMS Biological mother alive 20. Is [name]'s biological mother alive?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No</div> Nigeria 2010: Persons whose mother does not live in the household [discrepancies: type I 2.4%; type II .1%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the biological mother is alive. IPUMS Completed highest education level of biological mother 21. What is/was [name]'s biological mother's highest educational level completed?</p> <div class="i1">[ ] 00 None<br />[ ] 01 N1<br />[ ] 02 N2<br />[ ] 11 P1<br />[ ] 12 P2<br />[ ] 13 P3<br />[ ] 14 P4<br />[ ] 15 P5<br />[ ] 16 P6<br />[ ] 21 JS1<br />[ ] 22 JS2<br />[ ] 23 JS3<br />[ ] 24 SS1<br />[ ] 25 SS2<br />[ ] 26 SS3<br />[ ] 27 Lower 6<br />[ ] 28 Upper 6<br />[ ] 31 Teacher training<br />[ ] 32 Vocational/technical<br />[ ] 33 Modern school<br />[ ] 34 NCE<br />[ ] 41 Poly/prof<br />[ ] 42 1st degree<br />[ ] 43 Higher degree<br />[ ] 51 Quaranic<br />[ ] 52 Quaranic integrated<br />[ ] 61 Adult education</div> Nigeria 2010: Persons whose mother does not live in the household [discrepancies: type I 2.2%; type II 1.0%] 00 None 01 Nursery 1 02 Nursery 2 11 Primary 1 12 Primary 2 13 Primary 3 14 Primary 4 15 Primary 5 16 Primary 6 21 JSS 1 22 JSS 2 23 JSS 3 24 SSS 1 25 SSS 2 26 SSS 3 27 Lower 6 28 Upper 6 31 Teacher training 32 Vocational or technical 33 Modern school 34 National Certificate of Education (NCE) 41 Polytechnic or professional 42 1st degree 43 Higher degree 51 Quaranic 52 Quaranic integrated 61 Adult education 98 Unknown 99 NIU (not in universe) This variable indicates the highest level of education completed by the biological mother. IPUMS Biological mother's industry of occupation 22. What is/was [name]'s biological mother's main industry of occupation?</p> <div class="i1">[ ] 1 Agriculture<br />[ ] 2 Mining<br />[ ] 3 Manufacturing<br />[ ] 4 Professional, scientific, or technical activities<br />[ ] 5 Electricity<br />[ ] 6 Construction<br />[ ] 7 Transportation<br />[ ] 8 Buying and selling<br />[ ] 9 Financial/insurance/real est. Services<br />[ ] 10 Personal services<br />[ ] 11 Education<br />[ ] 12 Health<br />[ ] 13 Public administration<br />[ ] 14 Other, specify ____<br /><br />(Go to next person)</div> Nigeria 2010: Persons whose mother does not live in the household [discrepancies: type I 1.9%; type II 1.9%] 01 Agriculture 02 Mining 03 Manufacturing 04 Professional, scientific, or technical activities 05 Electricity 06 Construction 07 Transportation 08 Buying and selling 09 Financial or insurance or real estate services 10 Personal services 11 Education 12 Health 13 Public administration 14 Other 98 Unknown 99 NIU (not in universe) This variable indicates the biological mother's industry of occupation. IPUMS Person answering for himself or herself <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>1. Is this person answering for himself/herself?</p> <div class="i1">[ ] 1 Yes (go to q3)<br />[ ] 2 No</div> Nigeria 2010: All persons 1 Yes 2 No 9 Unknown This variable indicates whether the person was answering for himself or herself. IPUMS Identification number of the respondent <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>2. Write the ID code of the respondent </p> <div class="i1">ID code ____<br /><br />Copy ID from Roster</div> Nigeria 2010: Persons for whom someone else is answering [discrepancies: type I .9%; type II .6%] 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 20 20 22 22 98 Unknown 99 NIU (not in universe) This variable indicates the identification number of the respondent. IPUMS Literacy in any language <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>3. Can you read and write in any language?</p> <div class="i1">[ ] 1 Yes<br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ [discrepancies: type I .5%; type II .9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates literacy in any language. IPUMS Ever attended school <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>4. Have you ever attended school?</p> <div class="i1">[ ] 1 Yes (go to q6)<br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ [discrepancies: type I .5%; type II .9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person has ever attended school. IPUMS Main reason for never attending school <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>5. What was the main reason you never attended school?</p> <div class="i1">[ ] 1 Too young<br />[ ] 2 Too far away<br />[ ] 3 Too expensive<br />[ ] 4 Working (home or job)<br />[ ] 5 Lack of money<br />[ ] 6 Death of parent<br />[ ] 7 Separation of parents<br />[ ] 8 Does not have interest<br />[ ] 9 Parents do not think it is important<br />[ ] 10 Illness<br />[ ] 11 Disability<br />[ ] 12 Other specify<br /><br />(Go to q24)</div> Nigeria 2010: Persons age 5+ who have never attended school [discrepancies: type I .4%; type II .1%] 01 Too young 02 Too far away 03 Too expensive 04 Working (home or job) 05 Lack of money 06 Death of parent 07 Separation of parents 08 Does not have interest 09 Parents do not think it is important 10 Illness 11 Disability 12 Other 98 Unknown 99 NIU (not in universe) This variable indicates the main reason for not attending school. IPUMS Age when started school <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>6. At what age did you start school? </p> <div class="i1">Age ____</div> Nigeria 2010: Persons age 5+ who have ever attended school [discrepancies: type I 24.4%; type II trace] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 25 25 26 26 30 30 31 31 34 34 35 35 40 40 41 41 43 43 46 46 53 53 54 54 55 55 56 56 66 66 70 70 98 Unknown 99 NIU (not in universe) This variable indicates the age of the person when he or she started school. IPUMS Highest educational level completed <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>7. What is the highest educational level you completed?</p> <div class="i1">[ ] 00 None<br />[ ] 01 N1<br />[ ] 02 N2<br />[ ] 11 P1<br />[ ] 12 P2<br />[ ] 13 P3<br />[ ] 14 P4<br />[ ] 15 P5<br />[ ] 16 P6<br />[ ] 21 JS1<br />[ ] 22 JS2<br />[ ] 23 JS3<br />[ ] 24 SS1<br />[ ] 25 SS2<br />[ ] 26 SS3<br />[ ] 27 Lower 6<br />[ ] 28 Upper 6<br />[ ] 31 Teacher training<br />[ ] 32 Vocational/technical<br />[ ] 33 Modern school<br />[ ] 34 NCE<br />[ ] 41 Poly/prof<br />[ ] 42 1st degree<br />[ ] 43 Higher degree<br />[ ] 51 Quaranic<br />[ ] 52 Quaranic integrated<br />[ ] 61 Adult education</div> Nigeria 2010: Persons age 5+ who have ever attended school [discrepancies: type I 24.4%; type II trace] 00 None 01 Nursery 1 02 Nursery 2 11 Primary 1 12 Primary 2 13 Primary 3 14 Primary 4 15 Primary 5 16 Primary 6 21 JSS 1 22 JSS 2 23 JSS 3 24 SSS 1 25 SSS 2 26 SSS 3 27 Lower 6 28 Upper 6 31 Teacher training 32 Vocational or technical 33 Modern school 34 National Certificate of Education (NCE) 41 Polytechnic or professional 42 1st degree 43 Higher degree 51 Quaranic 52 Quaranic integrated 61 Adult education 98 Unknown 99 NIU (not in universe) This variable indicates the highest educational level completed. IPUMS Highest qualification attained <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>8. What is your highest qualification attained?</p> <div class="i1">[ ] 1 None<br />[ ] 2 FSLC<br />[ ] 3 MSLC<br />[ ] 4 Vocational/commercial<br />[ ] 5 JSS<br />[ ] 6 SSS 'Ordinary Level'<br />[ ] 7 A Level<br />[ ] 8 NCE/OND/Nursing<br />[ ] 9 BA/BSC/HND<br />[ ] 10 Tech/prof<br />[ ] 11 Masters<br />[ ] 12 Doctorate<br />[ ] 13 Other (specify) ____</div> Nigeria 2010: Persons age 5+ who have ever attended school [discrepancies: type I .5%; type II .4%] 01 None 02 FSLC 03 MSLC 04 Vocational or commercial 05 JSS 06 SSS (Ordinary Level) 07 A Level 08 NCE, OND, or Nursing 09 BA, BSC, or HND 10 Technical or professional 11 Masters 12 Doctorate 13 Other 98 Unknown 99 NIU (not in universe) This variable indicates the highest qualification attained. IPUMS Enrolled in school for the 2009-2010 school year <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ who have attended school [discrepancies: type I .4%; type II .2%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person was enrolled in school for the 2009-2010 school year. IPUMS Type of organization running the school (2009-2010) <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>11. What kind of organization runs the school that you are attending?</p> <div class="i1">[ ] 1 Federal gov.<br />[ ] 2 State gov.<br />[ ] 3 Local gov.<br />[ ] 4 Community<br />[ ] 5 Religious body<br />[ ] 6 Private<br />[ ] 7 Other (specify) ____</div> Nigeria 2010: Persons age 5+ attending school in 2009-2010 school year [discrepancies: type I .2%; type II .1%] 01 Federal government 02 State government 03 Local government 04 Community 05 Religious body 06 Private 07 NGO 08 Other 98 Unknown 99 NIU (not in universe) This variable indicates the type of organization running the school (2009-2010). IPUMS Enrolled in school for the 2010-2011 school year Nigeria 2010: Persons age 5+ who have ever attended school [type I .4%; type II .3%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person was enrolled in school for the 2010-2011 school year. IPUMS Reason for not being in school <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>10. Why are you not currently in school?</p> <div class="i1">[ ] 1 Had enough schooling<br />[ ] 2 Awaiting admission<br />[ ] 3 No school or lack of teachers<br />[ ] 4 No time/no interest<br />[ ] 5 Lack of money<br />[ ] 6 Marital obligation<br />[ ] 7 Sickness<br />[ ] 8 Disability<br />[ ] 9 Separation of parents<br />[ ] 10 Death of parents<br />[ ] 11 Too old to attend<br />[ ] 12 Domestic obligation<br />[ ] 13 Other (specify) ____<br /><br />(Go to q24)</div> Nigeria 2010: Persons age 5+ not enrolled who ever attended school [discrepancies: type I .2%; type II .3%] 01 Had enough schooling 02 Awaiting admission 03 No school or lack of teachers 04 No time or no interest 05 Lack of money 06 Marital obligation 07 Sickness 08 Disability 09 Separation of parents 10 Death of parents 11 Too old to attend 12 Domestic obligation 13 Other 98 Unknown 99 NIU (not in universe) This variable indicates the reason for not being in school. IPUMS Level attending in 2010-2011 Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I .3%; type II .4%] 01 Nursery 1 02 Nursery 2 11 Primary 1 12 Primary 2 13 Primary 3 14 Primary 4 15 Primary 5 16 Primary 6 21 JSS 1 22 JSS 2 23 JSS 3 24 SSS 1 25 SSS 2 26 SSS 3 27 Lower 6 28 Upper 6 31 Teacher training 32 Vocational or technical 33 Modern school 34 National Certificate of Education (NCE) 41 Polytechnic or professional 42 1st degree 43 Higher degree 51 Quaranic 52 Quaranic integrated 61 Adult education 98 Unknown 99 NIU (not in universe) This variable indicates the education level the person was attending during the 2010-2011 school year. IPUMS Type of organization running the school Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I .3%; type II .2%] 01 Federal government 02 State government 03 Local government 04 Community 05 Religious body 06 Private 07 NGO 08 Other 98 Unknown 99 NIU (not in universe) This variable indicates the type of organization running the school. IPUMS Means of transport to school <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>12. By what means does [name] go to school?</p> <div class="i1">[ ] 1 Foot<br />[ ] 2 Bicycle<br />[ ] 3 Motorcycle<br />[ ] 4 Private car<br />[ ] 5 Taxi<br />[ ] 6 Bus<br />[ ] 7 Camel/donkey<br />[ ] 8 Other (specify) ____</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I .3%; type II .2%] 01 Foot 02 Bicycle 03 Motorcycle 04 Private car 05 Taxi 06 Bus 07 Camel or donkey 08 Other 98 Unknown 99 NIU (not in universe) This variable indicates the means of transport to school. IPUMS Time to school in minutes <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>13. How much time does it take you to get to school? (in minutes) </p> <div class="i1">____ Minutes</div><div class="i2">[Response codes]<br /><br />[ ] 0 - 15 ...1<br />[ ] 16 - 30 ..2<br />[ ] 31 - 45 ..3<br />[ ] 46 - 60 ..4<br />[ ] 61 - 90...5<br />[ ] 91 - 120..6<br />[ ] 120 +.....7</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I .4%; type II .2%] 1 0 to 15 2 16 to 30 3 31 to 45 4 46 to 60 5 61 to 90 6 91 to 120 7 120 + 8 Unknown 9 NIU (not in universe) This variable indicates the time to school in minutes. IPUMS Received scholarship <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>14. Did you have a scholarship during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q18)</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I .3%; type II .2%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates receipt of a scholarship. IPUMS Scholarship amount <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>14. Did you have a scholarship during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q18)</div><p>15. What was the amount of the scholarship you received in the 2009? 2010 school year?</p> <div class="i1">____ Naira</div> Nigeria 2010: Persons age 5+ who received scholarships during 2010-2011 [discrepancies: type I trace; type II .1%] 00000002 2 00000011 11 00000400 400 00002000 2000 00003000 3000 00003500 3500 00004000 4000 00005000 5000 00005500 5500 00006000 6000 00007000 7000 00007500 7500 00008500 8500 00009000 9000 00010000 10000 00012000 12000 00013000 13000 00014700 14700 00015000 15000 00016000 16000 00017000 17000 00018000 18000 00020000 20000 00022000 22000 00028000 28000 99999998 Unknown 99999999 NIU (not in universe) This variable indicates the scholarship amount. IPUMS Number of years covered by scholarship <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>14. Did you have a scholarship during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q18)</div><p>15. What was the amount of the scholarship you received in the 2009? 2010 school year?</p> <div class="i1">____ Naira</div><p>16. How many years did the scholarship cover? </p> <div class="i1">____ Years</div> Nigeria 2010: Persons age 5+ who received scholarships during 2010-2011 [discrepancies: type I trace; type II trace] 01 1 02 2 03 3 04 4 05 5 06 6 08 8 09 9 10 10 11 11 12 12 98 Unknown 99 NIU (not in universe) This variable indicates the number of years covered by the scholarship. IPUMS Type of organization awarding scholarship <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>14. Did you have a scholarship during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q18)</div><p>15. What was the amount of the scholarship you received in the 2009? 2010 school year?</p> <div class="i1">____ Naira</div><p>16. How many years did the scholarship cover? </p> <div class="i1">____ Years</div><p>17. From which organisation, did you receive the scholarship?</p> <div class="i1">[ ] 1 Federal government<br />[ ] 2 State government<br />[ ] 3 Local government<br />[ ] 4 Community<br />[ ] 5 Religious body<br />[ ] 6 Private<br />[ ] 7 Other (specify) ____</div> Nigeria 2010: Persons age 5+ who received scholarships during 2010-2011 [discrepancies: type I trace; type II trace] 01 Federal government 02 State government 03 Local government 04 Community 05 Religious body 06 Private 07 NGO 08 Other 98 Unknown 99 NIU (not in universe) This variable indicates the type of organization awarding the scholarship. IPUMS School fees and registration <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>18. How much was spent on your education in the last 12 months by members of your household: </p> <div class="i1">If there was no expenditure, write '0'<br /><br />Record total expenditure in column I only if respondent cannot divide school expenses into previous categories</div><div class="i1">A. School fees and registration</div><div class="i2">____ Naira</div><div class="i1">B. Contributions to school repairs, Parents? Teachers Association</div><div class="i2">____ Naira</div><div class="i1">C. Uniforms and sports clothes</div><div class="i2">____ Naira</div><div class="i1">D. Books and school supplies</div><div class="i2">____ Naira</div><div class="i1">E. Transportation to and from school</div><div class="i2">____ Naira</div><div class="i1">F. Food, board and lodging at school</div><div class="i2">____ Naira</div><div class="i1">G. Extra?tuition (extra classes)</div><div class="i2">____ Naira</div><div class="i1">H. Other expenses cash and in kind that can't be categorized</div><div class="i2">____ Naira</div><div class="i1">I. Aggregate Expenditure</div><div class="i2">____ Naira</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I .1%; type II 21%] This variable indicates school fees and registration. This is a 8-digit numeric variable with 0 implied decimal places IPUMS Amount spent on school repairs or parent-teacher associations <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>18. How much was spent on your education in the last 12 months by members of your household: </p> <div class="i1">If there was no expenditure, write '0'<br /><br />Record total expenditure in column I only if respondent cannot divide school expenses into previous categories</div><div class="i1">A. School fees and registration</div><div class="i2">____ Naira</div><div class="i1">B. Contributions to school repairs, Parents? Teachers Association</div><div class="i2">____ Naira</div><div class="i1">C. Uniforms and sports clothes</div><div class="i2">____ Naira</div><div class="i1">D. Books and school supplies</div><div class="i2">____ Naira</div><div class="i1">E. Transportation to and from school</div><div class="i2">____ Naira</div><div class="i1">F. Food, board and lodging at school</div><div class="i2">____ Naira</div><div class="i1">G. Extra?tuition (extra classes)</div><div class="i2">____ Naira</div><div class="i1">H. Other expenses cash and in kind that can't be categorized</div><div class="i2">____ Naira</div><div class="i1">I. Aggregate Expenditure</div><div class="i2">____ Naira</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I .1%; type II 22%] 00000000 00000004 4 00000010 10 00000015 15 00000020 20 00000030 30 00000040 40 00000050 50 00000060 60 00000070 70 00000080 80 00000100 100 00000120 120 00000130 130 00000140 140 00000150 150 00000160 160 00000200 200 00000220 220 00000230 230 00000240 240 00000250 250 00000260 260 00000280 280 00000300 300 00000320 320 00000340 340 00000350 350 00000360 360 00000400 400 00000420 420 00000430 430 00000450 450 00000470 470 00000500 500 00000540 540 00000550 550 00000600 600 00000610 610 00000630 630 00000640 640 00000650 650 00000690 690 00000700 700 00000750 750 00000800 800 00000840 840 00000850 850 00000900 900 00001000 1000 00001001 1001 00001050 1050 00001100 1100 00001200 1200 00001230 1230 00001250 1250 00001300 1300 00001400 1400 00001450 1450 00001500 1500 00001600 1600 00001700 1700 00001800 1800 00001900 1900 00002000 2000 00002060 2060 00002200 2200 00002300 2300 00002350 2350 00002400 2400 00002500 2500 00002600 2600 00002700 2700 00002800 2800 00003000 3000 00003100 3100 00003200 3200 00003300 3300 00003500 3500 00003600 3600 00003700 3700 00003800 3800 00004000 4000 00004200 4200 00004350 4350 00004500 4500 00004700 4700 00005000 5000 00005200 5200 00005500 5500 00006000 6000 00007000 7000 00007500 7500 00008000 8000 00010000 10000 00010500 10500 00011000 11000 00011300 11300 00011500 11500 00012000 12000 00015000 15000 00020000 20000 00030000 30000 00038000 38000 00150500 150500 99999998 Unknown 99999999 NIU (not in universe) This variable indicates the amount spent on school repairs or parent-teacher associations. IPUMS Amount spent on school uniforms and sports clothes <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>18. How much was spent on your education in the last 12 months by members of your household: </p> <div class="i1">If there was no expenditure, write '0'<br /><br />Record total expenditure in column I only if respondent cannot divide school expenses into previous categories</div><div class="i1">A. School fees and registration</div><div class="i2">____ Naira</div><div class="i1">B. Contributions to school repairs, Parents? Teachers Association</div><div class="i2">____ Naira</div><div class="i1">C. Uniforms and sports clothes</div><div class="i2">____ Naira</div><div class="i1">D. Books and school supplies</div><div class="i2">____ Naira</div><div class="i1">E. Transportation to and from school</div><div class="i2">____ Naira</div><div class="i1">F. Food, board and lodging at school</div><div class="i2">____ Naira</div><div class="i1">G. Extra?tuition (extra classes)</div><div class="i2">____ Naira</div><div class="i1">H. Other expenses cash and in kind that can't be categorized</div><div class="i2">____ Naira</div><div class="i1">I. Aggregate Expenditure</div><div class="i2">____ Naira</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I .1%; type II 20%] 00000000 00000002 2 00000025 25 00000030 30 00000050 50 00000080 80 00000100 100 00000120 120 00000150 150 00000160 160 00000180 180 00000200 200 00000250 250 00000260 260 00000280 280 00000300 300 00000320 320 00000350 350 00000360 360 00000380 380 00000400 400 00000420 420 00000450 450 00000480 480 00000500 500 00000510 510 00000530 530 00000550 550 00000560 560 00000580 580 00000600 600 00000640 640 00000650 650 00000660 660 00000700 700 00000750 750 00000780 780 00000800 800 00000820 820 00000840 840 00000850 850 00000900 900 00000950 950 00001000 1000 00001020 1020 00001050 1050 00001060 1060 00001100 1100 00001150 1150 00001200 1200 00001250 1250 00001300 1300 00001350 1350 00001360 1360 00001400 1400 00001450 1450 00001500 1500 00001550 1550 00001580 1580 00001600 1600 00001650 1650 00001700 1700 00001750 1750 00001800 1800 00001840 1840 00001850 1850 00001900 1900 00002000 2000 00002100 2100 00002150 2150 00002200 2200 00002240 2240 00002300 2300 00002400 2400 00002500 2500 00002600 2600 00002700 2700 00002800 2800 00002900 2900 00002950 2950 00003000 3000 00003100 3100 00003200 3200 00003300 3300 00003400 3400 00003500 3500 00003600 3600 00003700 3700 00003800 3800 00003900 3900 00004000 4000 00004200 4200 00004500 4500 00004600 4600 00004800 4800 00005000 5000 00005200 5200 00005500 5500 00006000 6000 00007000 7000 00007500 7500 00008000 8000 00009000 9000 00010000 10000 00010300 10300 00012003 12003 00015000 15000 00020000 20000 00025000 25000 00028000 28000 00030000 30000 00035000 35000 99999998 Unknown 99999999 NIU (not in universe) This variable indicates the amount spent on school uniforms and sports clothes. IPUMS Amount spent on books and school supplies <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>18. How much was spent on your education in the last 12 months by members of your household: </p> <div class="i1">If there was no expenditure, write '0'<br /><br />Record total expenditure in column I only if respondent cannot divide school expenses into previous categories</div><div class="i1">A. School fees and registration</div><div class="i2">____ Naira</div><div class="i1">B. Contributions to school repairs, Parents? Teachers Association</div><div class="i2">____ Naira</div><div class="i1">C. Uniforms and sports clothes</div><div class="i2">____ Naira</div><div class="i1">D. Books and school supplies</div><div class="i2">____ Naira</div><div class="i1">E. Transportation to and from school</div><div class="i2">____ Naira</div><div class="i1">F. Food, board and lodging at school</div><div class="i2">____ Naira</div><div class="i1">G. Extra?tuition (extra classes)</div><div class="i2">____ Naira</div><div class="i1">H. Other expenses cash and in kind that can't be categorized</div><div class="i2">____ Naira</div><div class="i1">I. Aggregate Expenditure</div><div class="i2">____ Naira</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I .1%; type II 19%] This variable indicates the amount spent on books and school supplies. This is a 8-digit numeric variable with 0 implied decimal places IPUMS Amount spent on transportation to and from school <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>18. How much was spent on your education in the last 12 months by members of your household: </p> <div class="i1">If there was no expenditure, write '0'<br /><br />Record total expenditure in column I only if respondent cannot divide school expenses into previous categories</div><div class="i1">A. School fees and registration</div><div class="i2">____ Naira</div><div class="i1">B. Contributions to school repairs, Parents? Teachers Association</div><div class="i2">____ Naira</div><div class="i1">C. Uniforms and sports clothes</div><div class="i2">____ Naira</div><div class="i1">D. Books and school supplies</div><div class="i2">____ Naira</div><div class="i1">E. Transportation to and from school</div><div class="i2">____ Naira</div><div class="i1">F. Food, board and lodging at school</div><div class="i2">____ Naira</div><div class="i1">G. Extra?tuition (extra classes)</div><div class="i2">____ Naira</div><div class="i1">H. Other expenses cash and in kind that can't be categorized</div><div class="i2">____ Naira</div><div class="i1">I. Aggregate Expenditure</div><div class="i2">____ Naira</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I trace; type II 28%] 00000000 00000001 1 00000010 10 00000020 20 00000030 30 00000040 40 00000050 50 00000060 60 00000070 70 00000080 80 00000100 100 00000120 120 00000140 140 00000150 150 00000160 160 00000180 180 00000200 200 00000201 201 00000250 250 00000300 300 00000400 400 00000480 480 00000500 500 00000550 550 00000600 600 00000700 700 00000750 750 00000800 800 00000900 900 00001000 1000 00001200 1200 00001250 1250 00001300 1300 00001400 1400 00001440 1440 00001500 1500 00001600 1600 00001700 1700 00001800 1800 00002000 2000 00002080 2080 00002100 2100 00002200 2200 00002300 2300 00002400 2400 00002500 2500 00002600 2600 00002640 2640 00002700 2700 00002800 2800 00003000 3000 00003100 3100 00003200 3200 00003400 3400 00003500 3500 00003600 3600 00003800 3800 00003900 3900 00004000 4000 00004200 4200 00004500 4500 00004600 4600 00004800 4800 00005000 5000 00005200 5200 00005400 5400 00005500 5500 00005600 5600 00005660 5660 00006000 6000 00006500 6500 00007000 7000 00007200 7200 00007500 7500 00008000 8000 00008500 8500 00008640 8640 00009000 9000 00010000 10000 00010240 10240 00010800 10800 00011000 11000 00012000 12000 00012600 12600 00013000 13000 00013500 13500 00014400 14400 00014560 14560 00015000 15000 00015500 15500 00016000 16000 00017000 17000 00017500 17500 00018000 18000 00020000 20000 00024000 24000 00025000 25000 00028000 28000 00030000 30000 00033000 33000 00036000 36000 00038000 38000 00040000 40000 00045000 45000 00048000 48000 00050000 50000 00052000 52000 00060000 60000 00073000 73000 00090000 90000 00100000 100000 00196000 196000 99999998 Unknown 99999999 NIU (not in universe) This variable indicates the amount spent on transportation to and from school. IPUMS Amount spent on food, board, and lodging at school <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>18. How much was spent on your education in the last 12 months by members of your household: </p> <div class="i1">If there was no expenditure, write '0'<br /><br />Record total expenditure in column I only if respondent cannot divide school expenses into previous categories</div><div class="i1">A. School fees and registration</div><div class="i2">____ Naira</div><div class="i1">B. Contributions to school repairs, Parents? Teachers Association</div><div class="i2">____ Naira</div><div class="i1">C. Uniforms and sports clothes</div><div class="i2">____ Naira</div><div class="i1">D. Books and school supplies</div><div class="i2">____ Naira</div><div class="i1">E. Transportation to and from school</div><div class="i2">____ Naira</div><div class="i1">F. Food, board and lodging at school</div><div class="i2">____ Naira</div><div class="i1">G. Extra?tuition (extra classes)</div><div class="i2">____ Naira</div><div class="i1">H. Other expenses cash and in kind that can't be categorized</div><div class="i2">____ Naira</div><div class="i1">I. Aggregate Expenditure</div><div class="i2">____ Naira</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I trace; type II 28%] 00000000 00000001 1 00000005 5 00000010 10 00000020 20 00000030 30 00000040 40 00000050 50 00000060 60 00000080 80 00000100 100 00000120 120 00000150 150 00000200 200 00000250 250 00000300 300 00000350 350 00000360 360 00000380 380 00000400 400 00000440 440 00000450 450 00000480 480 00000500 500 00000550 550 00000600 600 00000700 700 00000800 800 00000880 880 00000900 900 00001000 1000 00001200 1200 00001250 1250 00001300 1300 00001400 1400 00001500 1500 00001700 1700 00001800 1800 00001900 1900 00002000 2000 00002100 2100 00002200 2200 00002300 2300 00002400 2400 00002500 2500 00002600 2600 00002700 2700 00002800 2800 00002900 2900 00003000 3000 00003100 3100 00003200 3200 00003250 3250 00003400 3400 00003500 3500 00003600 3600 00003700 3700 00004000 4000 00004500 4500 00004800 4800 00005000 5000 00005200 5200 00005400 5400 00005500 5500 00005700 5700 00006000 6000 00006400 6400 00006500 6500 00006550 6550 00006600 6600 00006800 6800 00007000 7000 00007200 7200 00007280 7280 00007500 7500 00007550 7550 00008000 8000 00008400 8400 00009000 9000 00010000 10000 00010500 10500 00011000 11000 00011500 11500 00012000 12000 00013500 13500 00013750 13750 00014000 14000 00015000 15000 00015700 15700 00016000 16000 00016200 16200 00018000 18000 00020000 20000 00021000 21000 00022000 22000 00024000 24000 00025000 25000 00025200 25200 00025500 25500 00028000 28000 00030000 30000 00032000 32000 00035000 35000 00040000 40000 00042000 42000 00050000 50000 00055000 55000 00060000 60000 00065000 65000 00070000 70000 00072000 72000 00078000 78000 00080000 80000 00100000 100000 00120000 120000 99999998 Unknown 99999999 NIU (not in universe) This variable indicates the amount spent on food, board, and lodging at school. IPUMS Amount spent on extra tuition or classes <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>18. How much was spent on your education in the last 12 months by members of your household: </p> <div class="i1">If there was no expenditure, write '0'<br /><br />Record total expenditure in column I only if respondent cannot divide school expenses into previous categories</div><div class="i1">A. School fees and registration</div><div class="i2">____ Naira</div><div class="i1">B. Contributions to school repairs, Parents? Teachers Association</div><div class="i2">____ Naira</div><div class="i1">C. Uniforms and sports clothes</div><div class="i2">____ Naira</div><div class="i1">D. Books and school supplies</div><div class="i2">____ Naira</div><div class="i1">E. Transportation to and from school</div><div class="i2">____ Naira</div><div class="i1">F. Food, board and lodging at school</div><div class="i2">____ Naira</div><div class="i1">G. Extra?tuition (extra classes)</div><div class="i2">____ Naira</div><div class="i1">H. Other expenses cash and in kind that can't be categorized</div><div class="i2">____ Naira</div><div class="i1">I. Aggregate Expenditure</div><div class="i2">____ Naira</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I trace; type II 28%] 00000000 00000001 1 00000002 2 00000020 20 00000050 50 00000100 100 00000130 130 00000150 150 00000180 180 00000200 200 00000210 210 00000240 240 00000250 250 00000300 300 00000350 350 00000380 380 00000400 400 00000450 450 00000500 500 00000560 560 00000600 600 00000650 650 00000700 700 00000720 720 00000750 750 00000780 780 00000800 800 00000900 900 00000950 950 00000960 960 00001000 1000 00001020 1020 00001050 1050 00001100 1100 00001200 1200 00001300 1300 00001400 1400 00001500 1500 00001600 1600 00001700 1700 00001750 1750 00001800 1800 00001900 1900 00002000 2000 00002100 2100 00002200 2200 00002250 2250 00002300 2300 00002400 2400 00002500 2500 00002600 2600 00002700 2700 00002800 2800 00003000 3000 00003200 3200 00003500 3500 00003600 3600 00003800 3800 00004000 4000 00004200 4200 00004500 4500 00004800 4800 00005000 5000 00005500 5500 00006000 6000 00007000 7000 00008000 8000 00009000 9000 00010000 10000 00013500 13500 00015000 15000 00016000 16000 00020000 20000 00021000 21000 00021700 21700 00022500 22500 00024000 24000 00030000 30000 00040000 40000 00072000 72000 99999998 Unknown 99999999 NIU (not in universe) This variable indicates the amount spent on extra tuition or classes. IPUMS Amount spent on other educational expenses <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>18. How much was spent on your education in the last 12 months by members of your household: </p> <div class="i1">If there was no expenditure, write '0'<br /><br />Record total expenditure in column I only if respondent cannot divide school expenses into previous categories</div><div class="i1">A. School fees and registration</div><div class="i2">____ Naira</div><div class="i1">B. Contributions to school repairs, Parents? Teachers Association</div><div class="i2">____ Naira</div><div class="i1">C. Uniforms and sports clothes</div><div class="i2">____ Naira</div><div class="i1">D. Books and school supplies</div><div class="i2">____ Naira</div><div class="i1">E. Transportation to and from school</div><div class="i2">____ Naira</div><div class="i1">F. Food, board and lodging at school</div><div class="i2">____ Naira</div><div class="i1">G. Extra?tuition (extra classes)</div><div class="i2">____ Naira</div><div class="i1">H. Other expenses cash and in kind that can't be categorized</div><div class="i2">____ Naira</div><div class="i1">I. Aggregate Expenditure</div><div class="i2">____ Naira</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I trace; type II 26%] 00000000 00000001 1 00000010 10 00000020 20 00000030 30 00000040 40 00000050 50 00000060 60 00000080 80 00000100 100 00000120 120 00000130 130 00000140 140 00000150 150 00000160 160 00000170 170 00000180 180 00000200 200 00000210 210 00000250 250 00000270 270 00000280 280 00000300 300 00000340 340 00000350 350 00000360 360 00000380 380 00000400 400 00000420 420 00000450 450 00000475 475 00000500 500 00000510 510 00000520 520 00000550 550 00000600 600 00000620 620 00000650 650 00000680 680 00000700 700 00000750 750 00000800 800 00000840 840 00000850 850 00000870 870 00000880 880 00000900 900 00001000 1000 00001050 1050 00001100 1100 00001150 1150 00001200 1200 00001250 1250 00001300 1300 00001350 1350 00001400 1400 00001500 1500 00001550 1550 00001600 1600 00001700 1700 00001770 1770 00001800 1800 00001900 1900 00002000 2000 00002050 2050 00002100 2100 00002170 2170 00002200 2200 00002300 2300 00002380 2380 00002400 2400 00002450 2450 00002500 2500 00002600 2600 00002700 2700 00002800 2800 00002900 2900 00003000 3000 00003100 3100 00003200 3200 00003400 3400 00003500 3500 00003600 3600 00003700 3700 00003750 3750 00003800 3800 00003900 3900 00004000 4000 00004100 4100 00004200 4200 00004300 4300 00004400 4400 00004500 4500 00004600 4600 00004700 4700 00004800 4800 00005000 5000 00005100 5100 00005200 5200 00005500 5500 00005600 5600 00005750 5750 00005800 5800 00006000 6000 00006300 6300 00006500 6500 00006700 6700 00007000 7000 00007200 7200 00007500 7500 00008000 8000 00008200 8200 00008400 8400 00008500 8500 00008600 8600 00008700 8700 00009000 9000 00009300 9300 00009600 9600 00010000 10000 00010500 10500 00011000 11000 00011700 11700 00012000 12000 00012500 12500 00014000 14000 00014500 14500 00015000 15000 00020000 20000 00020500 20500 00023600 23600 00025000 25000 00026500 26500 00027000 27000 00028600 28600 00030000 30000 00038000 38000 00040000 40000 00045000 45000 00050000 50000 00060000 60000 00065000 65000 00072000 72000 00075000 75000 00080000 80000 00100000 100000 99999998 Unknown 99999999 NIU (not in universe) This variable indicates the amount spent on other educational expenses . IPUMS Total education expenditure <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>9. Were you in school during the 2009?2010 school year?</p> <div class="i1">[ ] 1 Yes (go to q11)<br />[ ] 2 No</div><p>18. How much was spent on your education in the last 12 months by members of your household: </p> <div class="i1">If there was no expenditure, write '0'<br /><br />Record total expenditure in column I only if respondent cannot divide school expenses into previous categories</div><div class="i1">A. School fees and registration</div><div class="i2">____ Naira</div><div class="i1">B. Contributions to school repairs, Parents? Teachers Association</div><div class="i2">____ Naira</div><div class="i1">C. Uniforms and sports clothes</div><div class="i2">____ Naira</div><div class="i1">D. Books and school supplies</div><div class="i2">____ Naira</div><div class="i1">E. Transportation to and from school</div><div class="i2">____ Naira</div><div class="i1">F. Food, board and lodging at school</div><div class="i2">____ Naira</div><div class="i1">G. Extra?tuition (extra classes)</div><div class="i2">____ Naira</div><div class="i1">H. Other expenses cash and in kind that can't be categorized</div><div class="i2">____ Naira</div><div class="i1">I. Aggregate Expenditure</div><div class="i2">____ Naira</div> Nigeria 2010: Persons age 5+ enrolled in school for 2010-2011 [discrepancies: type I trace; type II 26%] This variable indicates the total education expenditure. This is a 8-digit numeric variable with 0 implied decimal places IPUMS Ever repeated any class in primary or secondary <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>4. Have you ever attended school?</p> <div class="i1">[ ] 1 Yes (go to q6)<br />[ ] 2 No</div><p>19. Did you ever repeat any class in primary or secondary school?</p> <div class="i1">[ ] 1 Yes, primary only<br />[ ] 2 Yes, secondary only<br />[ ] 3 Yes, both<br />[ ] 4 None (go to q23)</div> Nigeria 2010: Persons age 5+ who have ever attended school [discrepancies: type I .3%; type II .7%] 1 Yes, primary only 2 Yes, secondary only 3 Yes, both 4 No 8 Unknown 9 NIU (not in universe) This variable indicates the repetition of any class in primary or secondary school. IPUMS Last class repeated <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>4. Have you ever attended school?</p> <div class="i1">[ ] 1 Yes (go to q6)<br />[ ] 2 No</div><p>19. Did you ever repeat any class in primary or secondary school?</p> <div class="i1">[ ] 1 Yes, primary only<br />[ ] 2 Yes, secondary only<br />[ ] 3 Yes, both<br />[ ] 4 None (go to q23)</div><p>20. What was the last class you repeated?</p> <div class="i1">[ ] 00 None<br />[ ] 01 N1 <br />[ ] 02 N2<br />[ ] 11 Primary 1<br />[ ] 12 Primary 2<br />[ ] 13 Primary 3<br />[ ] 14 Primary 4<br />[ ] 15 Primary 5<br />[ ] 16 Primary 6<br />[ ] 21 JSS 1<br />[ ] 22 JSS 2<br />[ ] 23 JSS 3<br />[ ] 24 SSS 1<br />[ ] 25 SSS 2<br />[ ] 26 SSS 3<br />[ ] 27 Lower 6<br />[ ] 28 Upper 6</div> Nigeria 2010: Persons age 5+ who repeated a class [discrepancies: type I .1%; type II .4%] 01 N1 02 N2 11 Primary 1 12 Primary 2 13 Primary 3 14 Primary 4 15 Primary 5 16 Primary 6 21 JSS 1 22 JSS 2 23 JSS 3 24 SSS 1 25 SSS 2 26 SSS 3 27 Lower 6 28 Upper 6 98 Unknown 99 NIU (not in universe) This variable indicates the last class repeated. IPUMS Main reason for repeating the grade <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>4. Have you ever attended school?</p> <div class="i1">[ ] 1 Yes (go to q6)<br />[ ] 2 No</div><p>19. Did you ever repeat any class in primary or secondary school?</p> <div class="i1">[ ] 1 Yes, primary only<br />[ ] 2 Yes, secondary only<br />[ ] 3 Yes, both<br />[ ] 4 None (go to q23)</div><p>20. What was the last class you repeated?</p> <div class="i1">[ ] 00 None<br />[ ] 01 N1 <br />[ ] 02 N2<br />[ ] 11 Primary 1<br />[ ] 12 Primary 2<br />[ ] 13 Primary 3<br />[ ] 14 Primary 4<br />[ ] 15 Primary 5<br />[ ] 16 Primary 6<br />[ ] 21 JSS 1<br />[ ] 22 JSS 2<br />[ ] 23 JSS 3<br />[ ] 24 SSS 1<br />[ ] 25 SSS 2<br />[ ] 26 SSS 3<br />[ ] 27 Lower 6<br />[ ] 28 Upper 6</div><p>21. What was your main reason for repeating the grade specified in Q20?</p> <div class="i1">[ ] 1 Failed exam<br />[ ] 2 Pregnancy<br />[ ] 3 Illness<br />[ ] 4 Disability<br />[ ] 5 Work commitment<br />[ ] 6 No money for books<br />[ ] 7 Lack of fees<br />[ ] 8 Illness or injury of other household member<br />[ ] 9 Other (specify) ____</div> Nigeria 2010: Persons age 5+ who repeated a class [discrepancies: type I .1%; type II .4%] 01 Failed exam 02 Pregnancy 03 Illness 04 Disability 05 Work commitment 06 No money for books 07 Lack of fees 08 Illness or injury of other household member 09 Other 98 Unknown 99 NIU (not in universe) This variable indicates the main reason for repeating the grade. IPUMS Number of repetitions of class specified <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>4. Have you ever attended school?</p> <div class="i1">[ ] 1 Yes (go to q6)<br />[ ] 2 No</div><p>19. Did you ever repeat any class in primary or secondary school?</p> <div class="i1">[ ] 1 Yes, primary only<br />[ ] 2 Yes, secondary only<br />[ ] 3 Yes, both<br />[ ] 4 None (go to q23)</div><p>20. What was the last class you repeated?</p> <div class="i1">[ ] 00 None<br />[ ] 01 N1 <br />[ ] 02 N2<br />[ ] 11 Primary 1<br />[ ] 12 Primary 2<br />[ ] 13 Primary 3<br />[ ] 14 Primary 4<br />[ ] 15 Primary 5<br />[ ] 16 Primary 6<br />[ ] 21 JSS 1<br />[ ] 22 JSS 2<br />[ ] 23 JSS 3<br />[ ] 24 SSS 1<br />[ ] 25 SSS 2<br />[ ] 26 SSS 3<br />[ ] 27 Lower 6<br />[ ] 28 Upper 6</div><p>21. What was your main reason for repeating the grade specified in Q20?</p> <div class="i1">[ ] 1 Failed exam<br />[ ] 2 Pregnancy<br />[ ] 3 Illness<br />[ ] 4 Disability<br />[ ] 5 Work commitment<br />[ ] 6 No money for books<br />[ ] 7 Lack of fees<br />[ ] 8 Illness or injury of other household member<br />[ ] 9 Other (specify) ____</div><p>22. How many times have you repeated the class specified in Q20? ____ Nigeria 2010: Persons age 5+ who repeated a class [discrepancies: type I .1%; type II .4%] 1 1 2 2 3 3 4 4 5 5 7 7 8 Unknown 9 NIU (not in universe) This variable indicates the number of repetitions of the class. IPUMS Plan to attend school in the next school year <span class="h2">Section 2: Education</span> <br /><span class="em">For all household members 5 years and above, please ask the individual the following questions.</span></p> <p>23. Do you plan to attend school in the next school year?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ [discrepancies: type I .4%; type II .2%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person plans to attend school in the next school year. IPUMS Worked for non household member in the past 7 days <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>4. During the past 7 days, have you worked for someone who is not a member of your household, for example, an enterprise, company, the government or any other individual?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ [discrepancies: type I .6%; type II .9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates working for a non-household member in the past 7 days. IPUMS Worked on a farm owned or rented by household member in the past 7 days <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>5. During the past 7 days, have you worked on a farm owned or rented by a member of your household, either in cultivating crops or in other farming tasks, or have you cared for livestock belonging to yourself or a member of your household?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ [discrepancies: type I .6%; type II .8%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates working on a farm owned or rented by a household member in the past 7 days. IPUMS Worked on own account or in a business enterprise owned or rented by household member in the last 7 days <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>7. Interviewer: is there a "yes" response in questions 4, 5 or 6?</p> <div class="i1">[ ] 1 Yes (go to q13)<br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ [discrepancies: type I .6%; type II .9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates working on his or her own account or in a business enterprise owned or rented by a household member. IPUMS Worked for a non-household member, on a farm owned or rented by a household member, or on own account in last 7 days <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>6. During the past 7 days, have you worked on your own account or in a business enterprise belonging to you or someone in your household, for example, as a trader, shop?keeper, barber, dressmaker, carpenter or taxi driver?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ [discrepancies: type I .6%; type II 1.1%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates working for a non-household member, on a farm owned or rented by a household member, or on his or her own account in last 7 days. IPUMS Looked for work in the past 7 days <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>5. During the past 7 days, have you worked on a farm owned or rented by a member of your household, either in cultivating crops or in other farming tasks, or have you cared for livestock belonging to yourself or a member of your household?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No</div><p>6. During the past 7 days, have you worked on your own account or in a business enterprise belonging to you or someone in your household, for example, as a trader, shop?keeper, barber, dressmaker, carpenter or taxi driver?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No</div><p>7. Interviewer: is there a "yes" response in questions 4, 5 or 6?</p> <div class="i1">[ ] 1 Yes (go to q13)<br />[ ] 2 No</div><p>8. Have you taken any steps within the past 7 days to look for work?</p> <div class="i1">[ ] 1 Yes (go to q10)<br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ who did not work in the past seven days [discrepancies: type I .4%; type II .2%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates looking for work in the past 7 days. IPUMS Main reason for not looking for work in the past 7 days <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>8. Have you taken any steps within the past 7 days to look for work?</p> <div class="i1">[ ] 1 Yes (go to q10)<br />[ ] 2 No</div><p>9. What is the main reason you did not look for a job in the past 7 days?</p> <div class="i1">Most important reason<br /><br />[ ] 1 Student<br />[ ] 2 Housewife/childcare<br />[ ] 3 Too old/retired<br />[ ] 4 Sickness or illness<br />[ ] 5 Disability<br />[ ] 6 Waiting for reply from employer<br />[ ] 7 Waiting for recall by employer<br />[ ] 8 On leave<br />[ ] 9 Waiting for busy Season<br />[ ] 10 Others (specify) ____<br /><br />(Go to q12)</div> Nigeria 2010: Persons age 5+ who are not looking for work [discrepancies: type I .2%; type II .4%] 01 Student 02 Housewife or childcare 03 Too old or retired 04 Sickness or illness 05 Disability 06 Waiting for reply from employer 07 Waiting for recall by employer 08 On leave 09 Waiting for busy season 10 Other 98 Unknown 99 NIU (not in universe) This variable indicates the main reason for not looking for work in the past 7 days. IPUMS Available for work during the last 7 days <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>10. Were you available for work during the last 7 days?</p> <div class="i1">[ ] 1 Yes (go to q12)<br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ who looked for work in the last seven days [discrepancies: type I .4%; type II .1%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates availability for work during the last 7 days. IPUMS Reason for not being available for work during the last 7 days <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>10. Were you available for work during the last 7 days?</p> <div class="i1">[ ] 1 Yes (go to q12)<br />[ ] 2 No</div><p>11. Why were you not available for work during the last 7 days?</p> <div class="i1">[ ] 1 In school<br />[ ] 2 Busy with household duties<br />[ ] 3 Too young to work<br />[ ] 4 Too old to work<br />[ ] 5 Too sick to work<br />[ ] 6 Disabled<br />[ ] 7 Other (specify) ____</div> Nigeria 2010: Persons age 5+ who were not available for work in the last seven days [discrepancies: type I .2%; type II .2%] 1 In school 2 Busy with household duties 3 Too young to work 4 Too old to work 5 Too sick to work 6 Disabled 7 Other 8 Unknown 9 NIU (not in universe) This variable indicates the reason for not being available for work during the last 7 days. IPUMS Month of last paid work <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>12. When was the last time you did work for pay, profit or gain (if any)?</p> <div class="i1">Month ____<br />Year ____<br /><br />If never, leave blank (go to q37)<br /><br />If you have not worked in the last 12 months (go to q37)</div> Nigeria 2010: Persons age 5+ who were not available for work in the last seven days [discrepancies: type I 1.7%; type II .5%] 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) This variable indicates the month of last paid work. IPUMS Year of last paid work <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p>12. When was the last time you did work for pay, profit or gain (if any)?</p> <div class="i1">Month ____<br />Year ____<br /><br />If never, leave blank (go to q37)<br /><br />If you have not worked in the last 12 months (go to q37)</div> Nigeria 2010: Persons age 5+ who were not available for work in the last seven days [discrepancies: type I 1.6%; type II .5%] 1975 1975 1976 1976 1978 1978 1984 1984 1985 1985 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1995 1995 1996 1996 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 9998 Unknown 9999 NIU (not in universe) This variable indicates the year of last paid work. IPUMS Main occupation <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>13. What was your primary activity in your main job? (Main occupation in the last 7 days or most recent job)</p> <div class="i1">Written description ____<br /><br />Occup. Code to be coded after the interview ____</div> Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 1.2%; type II 1.2%] 0313 Building construction laborers 0812 Cement and other mineral processing machine operators 1110 Legislators 1120 Senior government officials 1130 Traditional chiefs and head of villages 1141 Senior officials of political party organization 1142 Senior official of employers, workers, and other economic interest organizations 1143 Senior officials of humanitarian and other special-interest organizations 1210 Directors and chief executives 1221 Production and operations managers 1222 Finance and administration managers 1223 Personnel and industrial relations managers 1224 Sales and marketing managers 1225 Advertising and public relations managers 1226 Supply and distribution managers 1227 Computing services managers 1228 Research and development managers 1229 Other specialized managers 1311 General managers in agriculture 1312 General managers in manufacturing 1313 General managers in construction 1314 General managers in retail and wholesale trade 1315 General managers in restaurants and hotels 1316 General managers in transportation 1317 General managers in business services firms 1318 General managers in personnel care, cleaning, repairs, and related services 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2121 Mathematicians and related professionals 2122 Statisticians 2131 System designers and analysts 2133 Computer programmers 2139 Other computing professionals 2141 Architects, town, and traffic planners 2142 Civil engineers 2143 Electrical engineers 2144 Electronic and telecommunications engineers 2145 Mechanical engineers 2146 Chemical engineers 2147 Mining engineers, metallurgists and related professionals 2148 Cartographers and surveyors 2149 Other architects, engineers and related professionals 2211 Biologists, botanists, zoologists, and related professionals 2212 Bacteriologists, pharmacologists, and related professionals 2213 Agronomists and related professionals 2221 Medical doctors 2222 Dentists 2223 Veterinarians 2224 Pharmacists 2229 Other health professionals (except nursing) 2230 Nursing and midwifery professionals 2310 Colleges, university, and higher education teaching professional 2320 Secondary education teaching professionals 2331 Primary education teaching professionals 2332 Pre-primary education teaching professionals 2340 Special education teaching professionals 2351 Education methods specialists 2352 School inspectors 2359 Other teaching professionals not elsewhere classified 2411 Accountants 2412 Personnel and careers professionals 2419 Other business professionals 2421 Lawyers 2422 Judges 2429 Other legal professionals 2431 Archivists and curators 2432 Librarians and related professionals 2441 Economists 2442 Sociologists, anthropologist, and related professionals 2445 Psychologist 2446 Social work professionals 2451 Authors, journalist, and other writers 2452 Sculptors, painters, and related artists 2453 Composers, musicians, and singers 2454 Choreographers and dancers 2455 Film, stage, and related actors and directors 2460 Religion professionals 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Mechanical engineering technicians 3116 Chemical engineering technicians 3117 Mining and metallurgical technicians 3118 Other physical science and engineering technicians 3121 Computer assistants 3122 Computer equipment controllers 3131 Photographers and image and sound-recording equipment controllers 3132 Broadcasting and telecommunications-equipment controllers 3133 Medical equipment controllers 3139 Other optical and electronics equipment controllers not elsewhere classified 3141 Ships' engineers 3142 Ships' deck officers and pilots 3143 Aircraft pilot and related workers 3144 Air traffic controllers 3145 Air traffic safety technicians 3151 Building and fire inspectors 3152 Safety, health and quality inspectors (vehicles, processes, and products) 3211 Life science technicians 3212 Agronomy and forestry technicians 3213 Farming and forestry advisers 3221 Medical assistants 3222 Sanitarian 3223 Dieticians and nutritionists 3224 Optometrists and opticians 3225 Dental assistants 3226 Physiotherapists and related workers 3227 Veterinary assistants 3228 Pharmaceutical assistants 3229 Other health associate professionals (except nursing) 3310 Primary education teaching associate professionals 3320 Pre-primary education teaching associate professionals 3330 Special education teaching associate professionals 3340 Other teaching associate professionals 3411 Securities, finance dealers, and brokers 3412 Insurance representatives 3413 Estate agents 3414 Travel consultants organizers 3415 Technical and commercials sales representatives 3416 Buyers 3417 Appraisers and values 3418 Auctioneers 3419 Other finance and sales associate professionals 3421 Trade brokers 3422 Clearing and forwarding agents 3423 Labor contractors and equipment agents 3429 Other business services agent and trade brokers 3431 Administrative and related associate professionals 3432 Legal and related business associate professionals 3439 Other administrative associate professionals 3441 Custom and border professionals 3442 Government tax and excise officials 3443 Government welfare and pension officials 3444 Government licensing officials 3445 Commissioned police officers and detectives 3449 Other government associate professionals 3450 Social work associate professionals 3461 Decorators and commercial designers 3462 Radio, television, and other announcers 3463 Street, nightclub, and related musicians, singers, and dancers 3464 Clowns, magicians, acrobats, and related workers 3465 Athletes and related workers 3470 Non-ordained religion associate professionals 4122 Statistical and finance clerks 4131 Stock clerks 4132 Production clerks 4133 Transport clerks 4141 Library and filling clerks 4142 Mail carriers and sorting clerks 4143 Coding, proof-reading, and related clerks 4144 Scribes 5111 Flight attendants and travel stewards 5112 Transport conductors 5113 Travel guides and ground hosts 5121 House stewards and house keepers 5122 waiters and bartenders 5131 Institution-based personal care workers 5133 Home-based personal care workers 5139 Other personal care workers 5141 Hairdressers, barbers, beauticians, and related workers 5142 Companions and valets 5143 Undertakers and embalmers 5149 Other personal services workers not elsewhere classified 5210 Fashion and other models 5220 Shop sales persons and demonstrators 5230 Stall and market salespersons 6111 Field crops and vegetable growers 6112 Tree shrub crop growers 6113 Gardeners, horticultural 6114 Mixed crop growers 6121 Dairy and livestock producers 6122 Poultry products 6123 Mixed animal producers 6130 Market oriented crop and animal producers 6141 Forestry worker and loggers 6142 Charcoal burners and related workers 6151 Aquatic liege cultivation workers 6152 Inland and coastal waters fishery workers 6153 Deep-sea fishery workers 6154 Hunters and trappers 6210 Subsistence agricultural and fishery workers 7111 Miners and quarry workers 7112 Short fires and blasters 7113 Stone-splitters, cutters and carvers 7121 Builders traditional materials 7122 Bricklayers, stonemason and tile setters 7123 Concrete placers, concrete finishers, and terrazzo-workers 7124 Carpenter and jointers 7129 Other building frames and related workers 7131 Roofers 7132 Plasterers 7133 Insulators 7134 Glaziers 7135 Plumbers and pipe fitters 7136 Building and related electricians 7141 Painters and paperhangers 7211 Metal molds and core makers 7212 Welders and flame-cutters 7213 Sheet-metal workers 7214 Structural metal prepares and erector 7215 Riggers and cable splices 7216 Under-water workers 7221 Blacksmiths, hammersmiths, and forging-press workers 7222 Tool maker, metal patter makers, and metal makers 7223 Machine tool setter operators 7224 Metal grinder, polishers and tool sharpeners 7231 Motor vehicle mechanics and filters 7232 Air craft engine mechanics and fitters 7241 Electrical mechanics and fitters 7242 Electronic fitters and services 7243 Radio and television service 7244 Telegraph and telephone installers 7245 Electrical line installers repairs and cable jointers 7311 Precision instrument makers repairs 7312 Acoustical musical instrument 7313 Jewelry and precious metal trade workers 7321 Potters and related clay and abrasive formers 7322 Glass formers, cutters grinder, and finishers 7323 Glass engrave and etchers 7324 Glass and ceramic painters and decorators 7331 Handicraft workers in wood and related materials 7332 Handicraft workers in textile, leather, and related materials 7341 Compositors and type setters 7342 Stereotypes and electrotypers 7344 Bookbinders and related workers 7345 Silk screen, block and textile printers 7411 Meat and fish butchers and preparers 7412 Bakers, pastry cooks and confectionery makers 7413 Food beverage testers and graders 7414 Tobacco preparers and tobacco products markers 7421 Wood treaters 7422 Cabinet makers and related workers 7423 Wood working machine setter operators 7424 Basketry weavers, brush markers, and related workers 7431 Fiber preparers 7432 Weavers, knitters, and other hand textile products makers 7433 Tailors, dress makers, and hatters 7434 Fur tailor and related workers 7435 Textile patternmakers and cutters 7436 Sewers, embroiderers, and related workers 7437 Upholsterers and related workers 7441 Pelt dressers, tanners, and fell mongers 7442 Shoe makers and related good workers 8111 Mining plant operators 8112 Mineral ore and stone-treating plant operators 8113 Well drillers and borers and related workers 8121 Ore smelting metal converting and refining furnace operators 8122 Metal smelters, casters, and rolling-mill operators 8123 Metal heat, treating plant operators 8124 Metal drawers and extruders 8131 Glass and ceramic kiln operators 8132 Other glass and ceramic plant operators 8141 Sawmill, wood panel, and related wood-processing plant operators 8142 Paper pulp preparation plant operators 8143 Paper making plant operators 8151 Crushing mixing and grinding equipment operators 8152 Cooking, roosting, and related heat, treating plant operators 8153 Filtering and separating equipment operators 8154 Still reactor operators 8155 Petroleum refining plant operators 8159 Other chemical-processing plant operators 8161 Power-generating plant operators 8162 Steam turbine, boiler, and engine operators 8169 Other power generating and related operators 8171 Automated assembly-line operators 8172 Industrial robot operators 8221 Pharmaceutical and toiletry products machine operators 8222 Ammunition and explosive products machine operators 8223 Metal finishers, plasters, and coaters 8224 Photographic products machine operators 8229 Other chemical products machine operators 8231 Type making and vulcanizing machine operators 8239 Other rubber and plastics machine operators 8240 Wood products machine operators 8251 Printing machine operators 8252 Binding machine operators 8253 Paper and paperboard product machine operators 8261 Spinning and winding machine operators 8262 Weaving and knitting machine operators 8263 Sewing and knitting machine operators 8264 Textile bleaching, dyeing, and cleaning machine operators 8269 Other textile product machine operators 8271 Meat and fish processing machine operators 8272 Dairy products machine operators 8275 Baked goods producing and cereals processing machine operators 8276 Sugar processing and refining machine operators 8277 Tea coffee cocoa and chocolate preparing and producing machine operators 8278 Tobacco products processing machine operators 8279 Brewers, wine, and other beverage machine operators 8282 Electrical machinery assemblers 8284 Metal, rubber, and plastic products assemblers 8285 Wood related materials products assemblers 8290 Other stationery machine operators and assemblers 8311 Railway engine driver 8312 Railway barkers, signalers, and shutters 8321 Motorcycle drivers 8322 Cart, taxi, and light van drivers 8323 Bus and train drivers 8324 Heavy truck drivers 8331 Motorized farm and forestry machinery operators 8332 Earth-moving and related machinery operators 8333 Crane, hoist, and related material moving equipment operators 8334 Lifting, truck operators 8340 Ship's deck crews and related workers 9111 Street foods vendors 9112 Street vendors, other products 9113 Door-to-door and telephone sales persons 9120 Shoe cleaning and other street services 9131 Domestic helpers and cleaners 9132 Helpers and cleaners in offices and hotels and related workers 9133 Hand launderers and pressers 9141 Building caretakers 9142 Windows cleaners 9151 Messengers package and luggage 9152 Watchers and doorkeepers 9153 Private security guards 9154 Vending machine money collectors and meter readers 9161 Garbage collectors 9162 Sweepers and related laborers 9211 Farmland and laborers 9212 Forestry laborers 9213 Fishery, hunting, and tapping laborers 9311 Mining and related laborers 9312 Construction and maintenance laborers road, dams and similar constructions 9321 Assembling laborers 9322 Hand packers and other manufacturing laborers 9331 Freight handlers 9332 Hand and pedal vehicle drivers 9333 Drivers and operators of animal-drawn vehicles and machinery 9998 Unknown 9999 NIU (not in universe) This variable indicates the main occupation. IPUMS Industry of main occupation <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>14. In what sector is this main activity? </p> <div class="i1">[ ] 1 Agriculture<br />[ ] 2 Mining<br />[ ] 3 Manufacturing<br />[ ] 4 Professional/scientific/technical activities<br />[ ] 5 Electricity<br />[ ] 6 Construction<br />[ ] 7 Transportation<br />[ ] 8 Buying and selling<br />[ ] 9 Financial/insurance/real est. Services<br />[ ] 10 Personal services<br />[ ] 11 Education<br />[ ] 12 Health<br />[ ] 13 Public administration<br />[ ] 14 Other (specify) ____</div> Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 1.2%; type II .8%] 01 Agriculture 02 Mining 03 Manufacturing 04 Professional, scientific, or technical activities 05 Electricity 06 Construction 07 Transportation 08 Buying and selling 09 Financial or insurance or real estate services 10 Personal services 11 Education 12 Health 13 Public administration 14 Other 98 Unknown 99 NIU (not in universe) This variable indicates the industry of main occupation. IPUMS Sector of main occupation <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>15. Who is the employer in this job?</p> <div class="i1">[ ] 1 Federal gov.<br />[ ] 2 State gov.<br />[ ] 3 Local gov.<br />[ ] 4 Parastatal<br />[ ] 5 Private sector (include paid apprentice)<br />[ ] 6 NGO<br />[ ] 7 Co-operatives<br />[ ] 8 International organisation/diplomatic mission<br />[ ] 9 Religious organisation<br />[ ] 10 Self employed<br />[ ] 11 Other (specify) ____</div> Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 1.3%; type II .9%] 01 Federal government 02 State government 03 Local government 04 Private sector (include paid apprentice) 05 NGO 06 Cooperatives 07 International organisation or diplomatic mission 08 Religious organisation 09 Self employed 10 Other 98 Unknown 99 NIU (not in universe) This variable indicates the sector of main occupation. IPUMS Number of months worked in main employment <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>16. During the last 12 months how many months did you work in this employment? <br /> ____ Months Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 1.3%; type II .6%] 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 98 Unknown 99 NIU (not in universe) This variable indicates the number of months worked in the main employment. IPUMS Number of weeks worked in main employment <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>16. During the last 12 months how many months did you work in this employment? <br /> ____ Months</p> <p>17. During these months, how many weeks in total did you work in this employment? <br />____ Weeks Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 1.3%; type II 0.5%] 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 98 Unknown 99 NIU (not in universe) This variable indicates the number of weeks worked in the main employment. IPUMS Number of hours worked in main employment <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>16. During the last 12 months how many months did you work in this employment? <br /> ____ Months</p> <p>17. During these months, how many weeks in total did you work in this employment? <br />____ Weeks</p> <p>18. During the last seven days, how many hours did you work in this job? <br />____ Hours Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 1.0%; type II 0.9%] 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 084 84 085 85 086 86 088 88 089 89 090 90 091 91 092 92 094 94 095 95 096 96 097 97 098 98 100 100 102 102 105 105 108 108 110 110 112 112 115 115 120 120 126 126 128 128 130 130 133 133 140 140 144 144 145 145 150 150 156 156 157 157 158 158 160 160 166 166 168 168 170 170 172 172 180 180 188 188 192 192 195 195 196 196 200 200 224 224 230 230 240 240 242 242 250 250 255 255 260 260 280 280 288 288 290 290 292 292 300 300 302 302 305 305 320 320 330 330 336 336 340 340 350 350 360 360 370 370 384 384 400 400 401 401 420 420 448 448 450 450 480 480 484 484 490 490 491 491 500 500 502 502 520 520 540 540 560 560 600 600 630 630 642 642 651 651 700 700 702 702 770 770 840 840 841 841 998 Unknown 999 NIU (not in universe) This variable indicates the number of hours worked in the main employment. IPUMS Received wages, salary, or other payment in main employment <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>19. Have you received wages, salary or other payments either in cash or in other forms from this employment for this work?</p> <div class="i1">[ ] 1 Yes (go to q21)<br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 1.3%; type II 0.5%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates the received wages, salary, or other payment in the main employment. IPUMS Reason for receiving no payment <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>19. Have you received wages, salary or other payments either in cash or in other forms from this employment for this work?</p> <div class="i1">[ ] 1 Yes (go to q21)<br />[ ] 2 No</div><p>20. What is the main reason you received no payment for this work?</p> <div class="i1">1 Just started work, waiting for first payment<br />2 Unpaid family worker<br />3 Apprenticeship or unpaid traineeship<br />4 Paying off debt<br />5 Payment upon completion of work<br />6 Owed by employer<br />7 Other (specify) ____<br /><br />[If response is 2-7, go to q24]</div> Nigeria 2010: Persons age 5+ who did not receive pay for work done in the last seven days in their main employment[discrepancies: type I 0.1%; type II 0.1%] 1 Just started work, waiting for first payment 2 Unpaid family worker 3 Apprenticeship or unpaid traineeship 4 Labour paying off debt 5 Payment upon completion of work 6 Owed by employer 7 Other 8 Unknown 9 NIU (not in universe) This variable indicates the reason for receiving no payment. IPUMS Last or expected payment amount <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>19. Have you received wages, salary or other payments either in cash or in other forms from this employment for this work?</p> <div class="i1">[ ] 1 Yes (go to q21)<br />[ ] 2 No</div><p>21. How much was your last payment? If respondent has not yet been paid, ask: What payment do you expect? What period of time did this payment cover? </p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Hour<br />[ ] 2 Day<br />[ ] 3 Week<br />[ ] 4 Fortnight<br />[ ] 5 Month<br />[ ] 6 Quarter<br />[ ] 7 Half year<br />[ ] 8 Year</div> Nigeria 2010: Persons age 5+ who received pay for work done in the last seven days in their main employment [discrepancies: type I 0.1%; type II 0.2%] This variable indicates the last or expected payment amount. This is a 8-digit numeric variable with 0 implied decimal places IPUMS Time unit for last or expected payment amount <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>19. Have you received wages, salary or other payments either in cash or in other forms from this employment for this work?</p> <div class="i1">[ ] 1 Yes (go to q21)<br />[ ] 2 No</div><p>21. How much was your last payment? If respondent has not yet been paid, ask: What payment do you expect? What period of time did this payment cover? </p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Hour<br />[ ] 2 Day<br />[ ] 3 Week<br />[ ] 4 Fortnight<br />[ ] 5 Month<br />[ ] 6 Quarter<br />[ ] 7 Half year<br />[ ] 8 Year</div> Nigeria 2010: Persons age 5+ who reported the last or expected payment amount for work done in the last seven days in the main employment [discrepancies: type I 0.1%; type II 0.1%] NIU (not in universe) 1 Hour 2 Day 3 Week 4 Fortnight 5 Month 6 Quarter 7 Half year 8 Year 9 Unknown This variable indicates the time unit for the last or expected payment amount. IPUMS Received any in kind payment or allowance <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>19. Have you received wages, salary or other payments either in cash or in other forms from this employment for this work?</p> <div class="i1">[ ] 1 Yes (go to q21)<br />[ ] 2 No</div><p>22. Do you receive any in?kind payment or allowance for this work in any other form? <br />[Apart from salary]</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q24)</div> Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 1.3%; type II 29.8%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates the receipt of any in-kind payment or allowance. IPUMS Value of in kind payment or allowance <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>19. Have you received wages, salary or other payments either in cash or in other forms from this employment for this work?</p> <div class="i1">[ ] 1 Yes (go to q21)<br />[ ] 2 No</div><p>22. Do you receive any in?kind payment or allowance for this work in any other form? <br />[Apart from salary]</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q24)</div><p>23. What is the value of those payments? Over what time interval? </p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Hour<br />[ ] 2 Day<br />[ ] 3 Week<br />[ ] 4 Fortnight<br />[ ] 5 Month<br />[ ] 6 Quarter<br />[ ] 7 Half year<br />[ ] 8 Year</div> Nigeria 2010: Persons age 5+ who received an in kind payment for work done in the last seven days in their main employment [discrepancies: type I trace ; type II trace] 00000001 1 00000002 2 00000003 3 00000004 4 00000005 5 00000006 6 00000008 8 00000030 30 00000045 45 00000050 50 00000060 60 00000100 100 00000150 150 00000200 200 00000250 250 00000300 300 00000350 350 00000400 400 00000500 500 00000550 550 00000600 600 00000700 700 00000800 800 00000900 900 00000950 950 00001000 1000 00001200 1200 00001300 1300 00001400 1400 00001500 1500 00001600 1600 00001700 1700 00001800 1800 00002000 2000 00002100 2100 00002200 2200 00002500 2500 00003000 3000 00003480 3480 00003500 3500 00004000 4000 00004200 4200 00004500 4500 00004700 4700 00005000 5000 00005500 5500 00006000 6000 00006500 6500 00007000 7000 00007200 7200 00007500 7500 00007800 7800 00008000 8000 00008250 8250 00008400 8400 00008500 8500 00008550 8550 00009000 9000 00009100 9100 00009500 9500 00009752 9752 00009867 9867 00010000 10000 00010650 10650 00011000 11000 00011600 11600 00012000 12000 00012400 12400 00012500 12500 00012655 12655 00014000 14000 00015000 15000 00015500 15500 00016000 16000 00017500 17500 00018000 18000 00018560 18560 00018750 18750 00019000 19000 00020000 20000 00020200 20200 00021000 21000 00021700 21700 00022000 22000 00023000 23000 00024000 24000 00025000 25000 00025600 25600 00026500 26500 00028000 28000 00028500 28500 00029000 29000 00030000 30000 00031000 31000 00032000 32000 00033000 33000 00034156 34156 00035000 35000 00036000 36000 00037000 37000 00038000 38000 00039000 39000 00040000 40000 00042000 42000 00045000 45000 00047000 47000 00049000 49000 00050000 50000 00052000 52000 00055000 55000 00057000 57000 00060000 60000 00070000 70000 00073000 73000 00100000 100000 00208000 208000 00210000 210000 00280000 280000 00300000 300000 00400000 400000 00500000 500000 00720000 720000 99999999 NIU (not in universe) This variable indicates the value of in-kind payment or allowance. IPUMS Time unit for in kind payment or allowance <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Main/primary employment</span></p> <p>19. Have you received wages, salary or other payments either in cash or in other forms from this employment for this work?</p> <div class="i1">[ ] 1 Yes (go to q21)<br />[ ] 2 No</div><p>22. Do you receive any in?kind payment or allowance for this work in any other form? <br />[Apart from salary]</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q24)</div><p>23. What is the value of those payments? Over what time interval? </p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Hour<br />[ ] 2 Day<br />[ ] 3 Week<br />[ ] 4 Fortnight<br />[ ] 5 Month<br />[ ] 6 Quarter<br />[ ] 7 Half year<br />[ ] 8 Year</div> Nigeria 2010: Persons age 5+ who reported the value of an in kind payment received for work done in the last seven days in the main employment [discrepancies: type I trace; type II trace] 01 Hour 02 Day 03 Week 04 Fortnight 05 Month 06 Quarter 07 Half year 08 Year 99 NIU (not in universe) This variable indicates the time unit for in-kind payment or allowance. IPUMS Engaged in a second job <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Second job</span></p> <p>24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div> Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 1.5%; type II 0.5%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates engagement in a second job. IPUMS Second occupation <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Second job</span></p> <p>24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>25. What was your main activity in your second job?</p> <div class="i1">Written description ____<br /><br />Occup. Code to be coded after the interview ____</div> Nigeria 2010: Persons age 5+ who had a second job [discrepancies: type I trace; type II 0.2%] 0313 Building construction laborers 0812 Cement and other mineral processing machine operators 1110 Legislators 1120 Senior government officials 1130 Traditional chiefs and head of villages 1141 Senior officials of political party organization 1142 Senior official of employers, workers, and other economic interest organizations 1143 Senior officials of humanitarian and other special-interest organizations 1210 Directors and chief executives 1221 Production and operations managers 1222 Finance and administration managers 1223 Personnel and industrial relations managers 1224 Sales and marketing managers 1225 Advertising and public relations managers 1226 Supply and distribution managers 1227 Computing services managers 1228 Research and development managers 1229 Other specialized managers 1311 General managers in agriculture 1312 General managers in manufacturing 1313 General managers in construction 1314 General managers in retail and wholesale trade 1315 General managers in restaurants and hotels 1316 General managers in transportation 1317 General managers in business services firms 1318 General managers in personnel care, cleaning, repairs, and related services 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2121 Mathematicians and related professionals 2122 Statisticians 2131 System designers and analysts 2133 Computer programmers 2139 Other computing professionals 2141 Architects, town and traffic planners 2142 Civil engineers 2143 Electrical engineers 2144 Electronic and telecommunications engineers 2145 Mechanical engineers 2146 Chemical engineers 2147 Mining engineers, metallurgists and related professionals 2148 Cartographers and surveyors 2149 Other architects, engineers and related professionals 2211 Biologists, botanists, zoologists, and related professionals 2212 Bacteriologists, pharmacologists, and related professionals 2213 Agronomists and related professionals 2221 Medical doctors 2222 Dentists 2223 Veterinarians 2224 Pharmacists 2229 Other health professionals (except nursing) 2230 Nursing and midwifery professionals 2310 Colleges, university, and higher education teaching professional 2320 Secondary education teaching professionals 2331 Primary education teaching professionals 2332 Pre-primary education teaching professionals 2340 Special education teaching professionals 2351 Education methods specialists 2352 School inspectors 2359 Other teaching professionals not elsewhere classified 2411 Accountants 2412 Personnel and careers professionals 2419 Other business professionals 2421 Lawyers 2422 Judges 2429 Other legal professionals 2431 Archivists and curators 2432 Librarians and related professionals 2441 Economists 2442 Sociologists, anthropologist, and related professionals 2445 Psychologist 2446 Social work professionals 2451 Authors, journalist, and other writers 2452 Sculptors, painters, and related artists 2453 Composers, musicians, and singers 2454 Choreographers and dancers 2455 Film, stage, and related actors and directors 2460 Religion professionals 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Mechanical engineering technicians 3116 Chemical engineering technicians 3117 Mining and metallurgical technicians 3118 Other physical science and engineering technicians 3121 Computer assistants 3122 Computer equipment controllers 3131 Photographers and image and sound-recording equipment controllers 3132 Broadcasting and telecommunications-equipment controllers 3133 Medical equipment controllers 3139 Other optical and electronics equipment controllers not elsewhere classified 3141 Ships' engineers 3142 Ships' deck officers and pilots 3143 Aircraft pilot and related workers 3144 Air traffic controllers 3145 Air traffic safety technicians 3151 Building and fire inspectors 3152 Safety, health and quality inspectors (vehicles, processes, and products) 3211 Life science technicians 3212 Agronomy and forestry technicians 3213 Farming and forestry advisers 3221 Medical assistants 3222 Sanitarian 3223 Dieticians and nutritionists 3224 Optometrists and opticians 3225 Dental assistants 3226 Physiotherapists and related workers 3227 Veterinary assistants 3228 Pharmaceutical assistants 3229 Other health associate professionals (except nursing) 3310 Primary education teaching associate professionals 3320 Pre-primary education teaching associate professionals 3330 Special education teaching associate professionals 3340 Other teaching associate professionals 3411 Securities, finance dealers, and brokers 3412 Insurance representatives 3413 Estate agents 3414 Travel consultants organizers 3415 Technical and commercials sales representatives 3416 Buyers 3417 Appraisers and values 3418 Auctioneers 3419 Other finance and sales associate professionals 3421 Trade brokers 3422 Clearing and forwarding agents 3423 Labor contractors and equipment agents 3429 Other business services agent and trade brokers 3431 Administrative and related associate professionals 3432 Legal and related business associate professionals 3439 Other administrative associate professionals 3441 Custom and border professionals 3442 Government tax and excise officials 3443 Government welfare and pension officials 3444 Government licensing officials 3445 Commissioned police officers and detectives 3449 Other government associate professionals 3450 Social work associate professionals 3461 Decorators and commercial designers 3462 Radio, television, and other announcers 3463 Street, nightclub, and related musicians, singers, and dancers 3464 Clowns, magicians, acrobats, and related workers 3465 Athletes and related workers 3470 Non-ordained religion associate professionals 4122 Statistical and finance clerks 4131 Stock clerks 4132 Production clerks 4133 Transport clerks 4141 Library and filling clerks 4142 Mail carriers and sorting clerks 4143 Coding, proof-reading, and related clerks 4144 Scribes 5111 Flight attendants and travel stewards 5112 Transport conductors 5113 Travel guides and ground hosts 5121 House stewards and house keepers 5122 waiters and bartenders 5131 Institution-based personal care workers 5133 Home-based personal care workers 5139 Other personal care workers 5141 Hairdressers, barbers, beauticians, and related workers 5142 Companions and valets 5143 Undertakers and embalmers 5149 Other personal services workers not elsewhere classified 5210 Fashion and other models 5220 Shop sales persons and demonstrators 5230 Stall and market salespersons 6111 Field crops and vegetable growers 6112 Tree shrub crop growers 6113 Gardeners, horticultural 6114 Mixed crop growers 6121 Dairy and livestock producers 6122 Poultry products 6123 Mixed animal producers 6130 Market oriented crop and animal producers 6141 Forestry worker and loggers 6142 Charcoal burners and related workers 6151 Aquatic liege cultivation workers 6152 Inland and coastal waters fishery workers 6153 Deep-sea fishery workers 6154 Hunters and trappers 6210 Subsistence agricultural and fishery workers 7111 Miners and quarry workers 7112 Short fires and blasters 7113 Stone-splitters, cutters and carvers 7121 Builders traditional materials 7122 Bricklayers, stonemason and tile setters 7123 Concrete placers, concrete finishers, and terrazzo-workers 7124 Carpenter and jointers 7129 Other building frames and related workers 7131 Roofers 7132 Plasterers 7133 Insulators 7134 Glaziers 7135 Plumbers and pipe fitters 7136 Building and related electricians 7141 Painters and paperhangers 7211 Metal molds and core makers 7212 Welders and flame-cutters 7213 Sheet-metal workers 7214 Structural metal prepares and erector 7215 Riggers and cable splices 7216 Under-water workers 7221 Blacksmiths, hammersmiths, and forging-press workers 7222 Tool maker, metal patter makers, and metal makers 7223 Machine tool setter operators 7224 Metal grinder, polishers and tool sharpeners 7231 Motor vehicle mechanics and filters 7232 Air craft engine mechanics and fitters 7241 Electrical mechanics and fitters 7242 Electronic fitters and services 7243 Radio and television service 7244 Telegraph and telephone installers 7245 Electrical line installers repairs and cable jointers 7311 Precision instrument makers repairs 7312 Acoustical musical instrument 7313 Jewelry and precious metal trade workers 7321 Potters and related clay and abrasive formers 7322 Glass formers, cutters grinder, and finishers 7323 Glass engrave and etchers 7324 Glass and ceramic painters and decorators 7331 Handicraft workers in wood and related materials 7332 Handicraft workers in textile, leather, and related materials 7341 Compositors and type setters 7342 Stereotypes and electrotypers 7344 Bookbinders and related workers 7345 Silk screen, block and textile printers 7411 Meat and fish butchers and preparers 7412 Bakers, pastry cooks and confectionery makers 7413 Food beverage testers and graders 7414 Tobacco preparers and tobacco products markers 7421 Wood treaters 7422 Cabinet makers and related workers 7423 Wood working machine setter operators 7424 Basketry weavers, brush markers, and related workers 7431 Fiber preparers 7432 Weavers, knitters, and other hand textile products makers 7433 Tailors, dress makers, and hatters 7434 Fur tailor and related workers 7435 Textile patternmakers and cutters 7436 Sewers, embroiderers, and related workers 7437 Upholsterers and related workers 7441 Pelt dressers, tanners, and fell mongers 7442 Shoe makers and related good workers 8111 Mining plant operators 8112 Mineral ore and stone-treating plant operators 8113 Well drillers and borers and related workers 8121 Ore smelting metal converting and refining furnace operators 8122 Metal smelters, casters, and rolling-mill operators 8123 Metal heat, treating plant operators 8124 Metal drawers and extruders 8131 Glass and ceramic kiln operators 8132 Other glass and ceramic plant operators 8141 Sawmill, wood panel, and related wood-processing plant operators 8142 Paper pulp preparation plant operators 8143 Paper making plant operators 8151 Crushing mixing and grinding equipment operators 8152 Cooking, roosting, and related heat, treating plant operators 8153 Filtering and separating equipment operators 8154 Still reactor operators 8155 Petroleum refining plant operators 8159 Other chemical-processing plant operators 8161 Power-generating plant operators 8162 Steam turbine, boiler, and engine operators 8169 Other power generating and related operators 8171 Automated assembly-line operators 8172 Industrial robot operators 8221 Pharmaceutical and toiletry products machine operators 8222 Ammunition and explosive products machine operators 8223 Metal finishers, plasters, and coaters 8224 Photographic products machine operators 8229 Other chemical products machine operators 8231 Type making and vulcanizing machine operators 8239 Other rubber and plastics machine operators 8240 Wood products machine operators 8251 Printing machine operators 8252 Binding machine operators 8253 Paper and paperboard product machine operators 8261 Spinning and winding machine operators 8262 Weaving and knitting machine operators 8263 Sewing and knitting machine operators 8264 Textile bleaching, dyeing, and cleaning machine operators 8269 Other textile product machine operators 8271 Meat and fish processing machine operators 8272 Dairy products machine operators 8275 Baked goods producing and cereals processing machine operators 8276 Sugar processing and refining machine operators 8277 Tea coffee cocoa and chocolate preparing and producing machine operators 8278 Tobacco products processing machine operators 8279 Brewers, wine, and other beverage machine operators 8282 Electrical machinery assemblers 8284 Metal, rubber, and plastic products assemblers 8285 Wood related materials products assemblers 8290 Other stationery machine operators and assemblers 8311 Railway engine driver 8312 Railway barkers, signalers, and shutters 8321 Motorcycle drivers 8322 Cart, taxi, and light van drivers 8323 Bus and train drivers 8324 Heavy truck drivers 8331 Motorized farm and forestry machinery operators 8332 Earth-moving and related machinery operators 8333 Crane, hoist, and related material moving equipment operators 8334 Lifting, truck operators 8340 Ship's deck crews and related workers 9111 Street foods vendors 9112 Street vendors, other products 9113 Door-to-door and telephone sales persons 9120 Shoe cleaning and other street services 9131 Domestic helpers and cleaners 9132 Helpers and cleaners in offices and hotels and related workers 9133 Hand launderers and pressers 9141 Building caretakers 9142 Windows cleaners 9151 Messengers package and luggage 9152 Watchers and doorkeepers 9153 Private security guards 9154 Vending machine money collectors and meter readers 9161 Garbage collectors 9162 Sweepers and related laborers 9211 Farmland and laborers 9212 Forestry laborers 9213 Fishery, hunting, and tapping laborers 9311 Mining and related laborers 9312 Construction and maintenance laborers road, dams and similar constructions 9321 Assembling laborers 9322 Hand packers and other manufacturing laborers 9331 Freight handlers 9332 Hand and pedal vehicle drivers 9333 Drivers and operators of animal-drawn vehicles and machinery 9998 Unknown 9999 NIU (not in universe) This variable indicates the second occupation. IPUMS Industry of second job <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Second job</span></p> <p>24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>26. In what sector is this main activity? </p> <div class="i1">[ ] 1 Agriculture<br />[ ] 2 Mining<br />[ ] 3 Manufacturing<br />[ ] 4 Professional/scientific/technical activities<br />[ ] 5 Electricity<br />[ ] 6 Construction<br />[ ] 7 Transportation<br />[ ] 8 Buying and selling<br />[ ] 9 Financial/insurance/real est. Services<br />[ ] 10 Personal services<br />[ ] 11 Education<br />[ ] 12 Health<br />[ ] 13 Public administration<br />[ ] 14 Other (specify) ____</div> Nigeria 2010: Persons age 5+ who had a second job [discrepancies: type I 0.1% type II 0.1%] 01 Agriculture 02 Mining 03 Manufacturing 04 Professional, scientific, or technical activities 05 Electricity 06 Construction 07 Transportation 08 Buying and selling 09 Financial or insurance or real estate Services 10 Personal services 11 Education 12 Health 13 Public administration 14 Other 98 Unknown 99 NIU (not in universe) This variable indicates the industry of the second occupation. IPUMS Sector of second job <span class="h2">Section3: Labour</span> <br /><span class="em">Ask these questions from individuals 5 years and above</span></p> <p><span class="em">Second job</span></p> <p>24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>27. Who is the employer in this job?</p> <div class="i1">[ ] 1 Federal gov.<br />[ ] 2 State gov.<br />[ ] 3 Local gov.<br />[ ] 4 Parastatal<br />[ ] 5 Private sector (include paid apprentice)<br />[ ] 6 NGO<br />[ ] 7 Co-operatives<br />[ ] 8 International organisation/diplomatic mission<br />[ ] 9 Religious organisation<br />[ ] 10 Self employed<br />[ ] 11 Other (specify) ____</div> Nigeria 2010: Persons age 5+ who had a second job [discrepancies: type I trace; type II 0.1%] 01 Federal government 02 State government 03 Local government 04 Private sector (include paid apprentice) 05 NGO 06 Cooperatives 07 International organisation or diplomatic mission 08 Religious organisation 09 Self employed 10 Other 98 Unknown 99 NIU (not in universe) This variable indicates the sector of the secondary occupation. IPUMS Number of months worked in second job in last 12 months 24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>28. During the last 12 months how many months did you work in this employment? <br />____ Months Nigeria 2010: Persons age 5+ who had a second job [discrepancies: type I trace; type II 0.1%] 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 98 Unknown 99 NIU (not in universe) This variable indicates the number of months worked in the secondary employment. IPUMS Number of weeks worked in second job in last 12 months 24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>29. During these months, how many weeks did you work in this employment? <br />____ Weeks Nigeria 2010: Persons age 5+ who had a second job [discrepancies: type I trace; type II 0.1%] 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 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 98 Unknown 99 NIU (not in universe) This variable indicates the number of weeks worked in the secondary employment. IPUMS Number of hours worked in second job in the last seven days 24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>30. During the last seven days, how many hours did you work in this job? <br />____ Hours Nigeria 2010: Persons age 5+ who had a second job [discrepancies: type I 0.1%; type II 0.2%] 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 52 52 53 53 54 54 55 55 56 56 58 58 59 59 60 60 63 63 64 64 68 68 70 70 72 72 77 77 78 78 80 80 81 81 84 84 98 Unknown 99 NIU (not in universe) This variable indicates the number of hours worked in secondary employment. IPUMS Received wages, salary, or other payment from second job 24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>31. Do you receive wages, salary or other payments either in cash or in other forms from this employer for this work?</p> <div class="i1">[ ] 1 Yes (go to q33)<br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ who had a second job [discrepancies: type I 0.1%; type II 0.1%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates received wages, salary, or other payment from secondary employment. IPUMS Reason for receiving no payment from second job 31. Do you receive wages, salary or other payments either in cash or in other forms from this employer for this work?</p> <div class="i1">[ ] 1 Yes (go to q33)<br />[ ] 2 No</div><p>32. What is the main reason you received no payment for this work?</p> <div class="i1">[ ] 1 Just started work, waiting for first payment<br />[ ] 2 Unpaid family worker<br />[ ] 3 Apprenticeship or unpaid traineeship<br />[ ] 4 Paying off debt<br />[ ] 5 Payment upon completion of work<br />[ ] 6 Owed by employer<br />[ ] 7 Other (specify) ____<br /><br />(If response is 2-7, go to q36)</div><p>34. Do you receive any payment in?kind or allowance for this work in any other form? <br />[Apart from salary]</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div> Nigeria 2010: Persons age 5+ who did not receive pay for work done in their second job [discrepancies: type I trace type II trace] 1 Just started work, waiting for first payment 2 Unpaid family worker 3 Apprenticeship or unpaid traineeship 4 Labour paying off debt 5 Payment upon completion of work 6 Owed by employer 7 Other 8 Unknown 9 NIU (not in universe) This variable indicates the reason for receiving no payment from secondary employment. IPUMS Last payment amount from second job 24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>31. Do you receive wages, salary or other payments either in cash or in other forms from this employer for this work?</p> <div class="i1">[ ] 1 Yes (go to q33)<br />[ ] 2 No</div><p>33. How much was your last payment? If respondent has not yet been paid, ask: What payment do you expect? What period of time did this payment cover?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Hour<br />[ ] 2 Day<br />[ ] 3 Week<br />[ ] 4 Fortnight<br />[ ] 5 Month<br />[ ] 6 Quarter<br />[ ] 7 Half year<br />[ ] 8 Year</div> Nigeria 2010: Persons age 5+ who received pay for work done in their second job [discrepancies: type I trace; type II trace] 00000002 2 00000060 60 00000100 100 00000150 150 00000180 180 00000200 200 00000300 300 00000350 350 00000400 400 00000500 500 00000550 550 00000600 600 00000700 700 00000750 750 00000800 800 00000900 900 00001000 1000 00001200 1200 00001250 1250 00001300 1300 00001500 1500 00001600 1600 00001700 1700 00001800 1800 00002000 2000 00002400 2400 00002500 2500 00003000 3000 00003200 3200 00003450 3450 00003500 3500 00004000 4000 00005000 5000 00005200 5200 00005600 5600 00006000 6000 00006500 6500 00006900 6900 00007000 7000 00007500 7500 00007650 7650 00007800 7800 00007900 7900 00008000 8000 00008200 8200 00009000 9000 00009500 9500 00009900 9900 00010000 10000 00010200 10200 00011000 11000 00011500 11500 00012000 12000 00012500 12500 00012700 12700 00013400 13400 00014000 14000 00015000 15000 00016000 16000 00017000 17000 00018000 18000 00020000 20000 00021000 21000 00022000 22000 00023000 23000 00024000 24000 00025000 25000 00026000 26000 00027000 27000 00028000 28000 00028500 28500 00029000 29000 00030000 30000 00031000 31000 00032000 32000 00035000 35000 00035500 35500 00040000 40000 00045000 45000 00050000 50000 00060000 60000 00070000 70000 00072000 72000 00085000 85000 00100000 100000 00120000 120000 00150000 150000 00180000 180000 00200000 200000 00300000 300000 00800000 800000 09700000 9700000 99999999 NIU (not in universe) This variable indicates the last payment amount from secondary employment. IPUMS Time unit for last payment amount from second job 24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>31. Do you receive wages, salary or other payments either in cash or in other forms from this employer for this work?</p> <div class="i1">[ ] 1 Yes (go to q33)<br />[ ] 2 No</div><p>33. How much was your last payment? If respondent has not yet been paid, ask: What payment do you expect? What period of time did this payment cover?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Hour<br />[ ] 2 Day<br />[ ] 3 Week<br />[ ] 4 Fortnight<br />[ ] 5 Month<br />[ ] 6 Quarter<br />[ ] 7 Half year<br />[ ] 8 Year</div> Nigeria 2010: Persons age 5+ who reported the last or expected payment amount for work done in their second job [discrepancies: type I trace; type II trace] 1 Hour 2 Day 3 Week 4 Fortnight 5 Month 6 Quarter 7 Half year 8 Year 9 NIU (not in universe) This variable indicates the time unit for last payment amount from secondary employment. IPUMS Received any in kind payment or allowance from second job 24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>31. Do you receive wages, salary or other payments either in cash or in other forms from this employer for this work?</p> <div class="i1">[ ] 1 Yes (go to q33)<br />[ ] 2 No</div><p>34. Do you receive any payment in?kind or allowance for this work in any other form? <br />[Apart from salary]</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div> Nigeria 2010: Persons age 5+ who had a second job [discrepancies: type I trace; type II 2.0%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates receipt of any in-kind payment or allowance from secondary employment. IPUMS Value of in kind payment or allowance from second job 24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>31. Do you receive wages, salary or other payments either in cash or in other forms from this employer for this work?</p> <div class="i1">[ ] 1 Yes (go to q33)<br />[ ] 2 No</div><p>34. Do you receive any payment in?kind or allowance for this work in any other form? <br />[Apart from salary]</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>35. What is the amount of those payments? Over what time interval?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Hour<br />[ ] 2 Day<br />[ ] 3 Week<br />[ ] 4 Fortnight<br />[ ] 5 Month<br />[ ] 6 Quarter<br />[ ] 7 Half year<br />[ ] 8 Year</div> Nigeria 2010: Persons age 5+ who received an in kind payment or allowance from their second job [discrepancies: type I trace; type II trace] 00000200 200 00000300 300 00000500 500 00000600 600 00001000 1000 00001500 1500 00002000 2000 00002500 2500 00003000 3000 00004000 4000 00005000 5000 00007500 7500 00008000 8000 00010000 10000 00015000 15000 00020000 20000 00030000 30000 99999999 NIU (not in universe) This variable indicates the value of in-kind payment or allowance from secondary employment. IPUMS Time unit for value of in kind payment or allowance from second job 24. Were you engaged in a second job?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>31. Do you receive wages, salary or other payments either in cash or in other forms from this employer for this work?</p> <div class="i1">[ ] 1 Yes (go to q33)<br />[ ] 2 No</div><p>34. Do you receive any payment in?kind or allowance for this work in any other form? <br />[Apart from salary]</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No (go to q36)</div><p>35. What is the amount of those payments? Over what time interval?</p> <div class="i1">____ Naira</div><div class="i1">Time unit</div><div class="i2">[ ] 1 Hour<br />[ ] 2 Day<br />[ ] 3 Week<br />[ ] 4 Fortnight<br />[ ] 5 Month<br />[ ] 6 Quarter<br />[ ] 7 Half year<br />[ ] 8 Year</div> Nigeria 2010: Persons age 5+ who reported the value of an in kind payment received from second job [discrepancies: type I trace; type II trace] 9 NIU (not in universe) 1 Hour 2 Day 3 Week 4 Fortnight 5 Month 6 Quarter 7 Half year 8 Year This variable indicates the time unit for the value of in-kind payment or allowance from secondary employment. IPUMS Respondent works less than 40 hours per week Nigeria 2010: Persons age 5+ who worked in the last seven days [discrepancies: type I 2.7%; type II 1.0%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates the respondent working more than 40 hours per week. IPUMS Willing to work extra hours if given Nigeria 2010: Persons age 5+ who worked less than 40 hours per week [discrepancies: type I 0.8%; type II 0.2%] 1 Yes, voluntarily 2 Yes, involuntarily 3 No 8 Unknown 9 NIU (not in universe) This variable indicates willingness to work extra hours if given. IPUMS Contribute to the national health insurance scheme (NHIS) <span class="em">Other activities</span></p> <p>36. Do you contribute to the National Health Insurance Scheme (NISH)?</p> <div class="i1">[ ] 1 Yes <br />[ ] 2 No</div> Nigeria 2010: Persons age 5+ [discrepancies: type I 0.7%; type II 12%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates contributions to the national health insurance scheme (NHIS). IPUMS Engaged in voluntary or social work Nigeria 2010: Persons age 5+ [discrepancies: type I 1%; type II 1.9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates engagement in voluntary or social work. IPUMS Area of voluntary or social work Nigeria 2010: Persons age 5+ who were engaged in voluntary or social work [discrepancies: type I 0.2%; type II 0.1%] 01 Arts and recreation 02 Education and research 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 98 Unknown 99 NIU (not in universe) This variable indicates the area of voluntary or social work. IPUMS Number of hours worked in voluntary or social work in the past seven days Nigeria 2010: Persons age 5+ who were engaged in voluntary or social work [discrepancies: type I 0.1%; type II 0.4%] 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 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 30 30 31 31 32 32 35 35 36 36 40 40 41 41 42 42 44 44 45 45 48 48 50 50 52 52 56 56 58 58 60 60 70 70 84 84 98 Unknown 99 NIU (not in universe) This variable indicates the number of hours worked in voluntary or social work. IPUMS Hours spent collecting or chopping firewood yesterday <span class="em">Other activities</span></p> <p>37. How many hours did you spend yesterday collecting/chopping firewood (or other fuel materials) in total?</p> <div class="i1">____ Hours<br />____ Minutes</div> Nigeria 2010: Unverifiable universe 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 14 14 15 15 16 16 18 18 20 20 22 22 24 24 25 25 28 28 30 30 35 35 40 40 45 45 46 46 47 47 50 50 55 55 99 NIU (not in universe) This variable indicates hours spent collecting or chopping firewood (or other fuel materials) yesterday. IPUMS Minutes spent collecting or chopping firewood yesterday <span class="em">Other activities</span></p> <p>37. How many hours did you spend yesterday collecting/chopping firewood (or other fuel materials) in total?</p> <div class="i1">____ Hours<br />____ Minutes</div> Nigeria 2010: Unverifiable universe 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 72 72 80 80 88 88 99 NIU (not in universe) This variable indicates minutes spent collecting or chopping firewood (or other fuel materials) yesterday. IPUMS Hours spent yesterday collecting or fetching water <span class="em">Other activities</span></p> <p>38. How many hours did you spend yesterday collecting/fetching water in total including waiting time?</p> <div class="i1">____ Hours<br />____ Minutes</div> Nigeria 2010: Unverifiable universe 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 10 10 12 12 14 14 15 15 20 20 25 25 30 30 35 35 40 40 45 45 50 50 60 60 99 NIU (not in universe) This variable indicates hours spent collecting or fetching water yesterday. IPUMS Minutes spent yesterday collecting or fetching water <span class="em">Other activities</span></p> <p>38. How many hours did you spend yesterday collecting/fetching water in total including waiting time?</p> <div class="i1">____ Hours<br />____ Minutes</div> Nigeria 2010: Unverifiable universe 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 60 60 70 70 75 75 80 80 90 90 99 NIU (not in universe) This variable indicates minutes spent collecting or fetching water yesterday. IPUMS