DDI_ETH_1984_PHC_v01_M_v7.5_A_IPUMS 1984 Population and Housing Census of Ethiopia 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. 1984 Population and Housing Census of Ethiopia - IPUMS Subset PHC Ethiopia 1984 (IPUMS Harmonized Subset) ETH_1984_PHC_v01_M_v7.5_A_IPUMS Central Statistical Agency IPUMS (c) Copyright 1984, Central Statistical Agency and Minnesota Population Center MetadataEditor Central Statistical Agency Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Other Household Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Nativity and Birthplace Variables -- PERSON Disability Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Other Person Variables -- PERSON Fertility and Mortality Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Ethiopia Awraja Persons, households, and dwellings Missing geographic areas from difficult enumeration areas, see detailed sample documentation UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: A housing unit is a separate structure with independent access used for habitation or used for a combination of habitation and commercial activity - Households: A group of persons who live together in a single housing unit or adjacent housing units who have a common cooking arrangement and eat from the same kitchen - Group quarters: Premises (housing units, buildings, or compounds) in which a number of unrelated or related persons reside together, and share common facilities. It includes hotels, hostels, boarding schools, orphanages, homes for the elderly, children's homes, prisons, military barracks, monasteries, work camps, rehabilitation centers, etc. It is important to note that in the premises of some collective quarters there may be private households. All housing units and households; all individuals who passed the night of the census date in the dwelling Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Ethiopia 1984 Note: Missing geographic areas from difficult enumeration areas, see detailed sample documentation MICRODATA SOURCE: Central Statistical Agency SAMPLE SIZE (person records): 3404306. SAMPLE DESIGN: Systematic sample of every tenth enumerated household drawn by the Minnesota Population Center. The sample is not representative of the country-level population. Due to famine and conflict, parts of the country are missing from the sample. Detailed documentation about the nature of the undercount and affected geographic areas is given in the report available on the Source Documents page. Face-to-face [f2f] Two census questionnaires were used, one in rural areas and another in urban areas. Blocks 1-3 of the forms--area identification, particulars of household members, and information on deaths--are identical across forms. Block 4, detailed information on housing unit, differs between the two forms. More details on housing unit characteristics were collected in urban areas. de jure, CENSUS DAY: May 9, 1984 Weights computed by MPC 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. Central Statistical Agency 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: Ethiopia, Central Statistical Agency. 1984 Population and Housing Census of Ethiopia 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. ETH1984_PHC-H-H Household records 795 77 ETH1984_PHC-P-H Person records 3404306 97 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 Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. 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 Group quarters type 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 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 Ethiopia, Region 1984 [Level 1, GIS] 001 Arsi 002 Bale 004 Gamo Gofa 005 Gojam 006 Gonder 007 Hararge 008 Illu Aba Bora 009 Kefa 010 Shewa 011 Sidamo 012 Tigray 013 Welega 014 Wello 015 Addis Ababa 099 Unknown GEO1_ ET1984 identifies the household's region within Ethiopia in 1984. Regions are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ ET1984 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Ethiopia 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 Ethiopia, Awraja 1984 [Level 2, GIS] 001001 Arba Gugu Awraja 001002 Ticho Awraja 001003 Chilalo Awraja 002001 Genale Awraja 002002 Mendeyo Awraja 002003 Wabe Awraja 002005 Dolo Awraja 004001 Gamo Awraja 004002 Gardula Awraja 004003 Geleb and Hamerbako Awraja 004004 Gofa Awraja 004999 Region Gamo Gofa, Awraja unknown 005001 Bahir Dar Awraja 005002 Mota Awraja 005003 Bichena Awraja 005004 Debre Markos Awraja 005005 Koladega Damot Awraja 005006 Agew Midir Awraja 005007 Metekel Awraja 006001 Wegera Awraja 006002 Semen Awraja 006003 Libo Awraja 006004 Gayint Awraja 006005 Debre Tabor Awraja 006006 Gonder Awraja 006007 Chilga Awraja 007001 Chercher Adal Gara Guracha Awraja 007002 Dire Dawa Isa And Gurgura Awraja 007003 Jijiga Awraja 007004 Gursum Awraja 007010 Gara Muleta Awraja 007011 Harar Zuria Awraja 007012 Obora Awraja 007013 Habro Awraja 008001 Sor and Geba Awraja 008002 Bunno Awraja 008003 Gore Awraja 008004 Mocha Awraja 008005 Gambela Awraja 009001 Limu Awraja 009002 Jimma Awraja 009003 Kulo Konta Awraja 009004 Kefa Awraja 009005 Maji Goldya Awraja 009006 Gimira Awraja 010001 Merhabete Awraja 010002 Menz and Gishe Awraja 010003 Yifat and Timuga Awraja 010004 Tegulet and Bulga Awraja 010005 Yerer and Kereyu Awraja 010006 Haikoch and Butajira Awraja 010007 Kembata and Hadiya Awraja 010008 Chebo and Gurage Awraja 010009 Menagesha Awraja 010010 Jibat and Mecha Awraja 010011 Selale Awraja 010099 Region Shewa, Awaja unknown 011001 Welayita Awraja 011002 Sidama Awraja 011003 Jemjem Awraja 011004 Borena Awraja 011005 Arero Awraja 011006 Gedeo Awraja 012001 Adwa Awraja 012002 Agame Awraja 012003 Hulet Awlalo Awraja 012004 Enderta Awraja 012005 Raya and Azebo Awraja 012007 Axum Awraja 012008 Shire Awraja 013001 Horo Gudru Awraja 013002 Nekemte Awraja 013003 Arjo Awraja 013004 Gimbi Awraja 013005 Kelem Awraja 013006 Asosa Awraja 014001 Raya and Kobo Awraja 014002 Yeju Awraja 014003 Ambasel Awraja 014004 Awsa Awraja 014005 Kalu Awraja 014006 Desie Zuria Awraja 014007 Wera Ilu Awraja 014008 Borena Awraja 014009 Were Himenu Awraja 014010 Wadla Delanta Awraja 014011 Lasta Awraja 014012 Wag Awraja 014999 Region Welo, Awraja unknown 015001 Ketena 5 015002 Ketena 4 015003 Ketena 3 015004 Ketena 2 015005 Ketena 1 099999 Unknown GEO2_ET1984 identifies the household's awraja within Ethiopia in 1984. Awrajas are the second level administrative units of the country, after regions. A GIS map (in shapefile format), corresponding to GEO2_ ET1984 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Ethiopia 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 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 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 Television set 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing TV indicates whether the household had a television. IPUMS Radio in household NIU (not in universe) 1 No 2 Yes 9 Unknown/missing RADIO indicates whether the household had a radio. 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 Kitchen or cooking facilities 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 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 Bathing facilities NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 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 Number of deaths in household last year None 1 1 death 2 2 deaths 3 3 deaths 4 4 deaths 5 5 deaths 6 6 deaths 7 7 or more deaths 8 Unknown 9 NIU (not in universe) MORTNUM indicates the number of deaths in the household in the past year. IPUMS Any deaths in household last year 1 Yes 2 No 8 Unknown/missing 9 NIU (not in universe) ANYMORT indicates whether there were any deaths in the household in the past year. 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 Ethiopia 1984: All records This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places IPUMS Household number (within dwelling) Ethiopia 1984: All records 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 This variable indicates the household number (within dwelling). IPUMS Number of households in dwelling Ethiopia 1984: All records 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 23 23 25 25 16 16 18 18 19 19 21 21 22 22 24 24 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 This variable indicates the number of households in the dwelling. IPUMS Number of persons in dwelling Ethiopia 1984: All records 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 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 This variable indicates the number of persons in the dwelling. IPUMS Number of persons in household Ethiopia 1984: All records 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 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 This variable indicates the number of persons in the household. IPUMS Dwelling created by splitting apart a large dwelling or household Ethiopia 1984: All records No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings This variable indicates if the dwelling was created by splitting apart a large dwelling or household. IPUMS Dwelling number (from donor) Ethiopia 1984: All records This variable indicates the dwelling number (from donor). IPUMS Urban Ethiopia 1984: All households 1 Urban 2 Rural This variable indicates if the household resides in an urban area. IPUMS Wereda <span class="h2">Block 1. Area Identification</span></p> <p>____ 1. Region <br />____ 2. Awraja <br />____ 3. Wereda <br />____ 4. Town <br />____ 5. Kefyegna <br />____ 6. Supervisory area <br />____ 7. Settlement area <br />____ 8. Enumeration area <br />9. Type of resident</p> <div class="i1">[] 1 Household<br />[] 2 Hotel or hostel resident<br />[] 3 Other collective quarter<br />[] 4 Homeless<br />[] 5 Nomadic</div><p>10. Housing unit serial no. ____ Ethiopia 1984: All households 010101 Jeju 010102 Merti 010103 Asko 010104 Golocha 010105 Chele 010106 Guna 010201 Sude 010202 Amigna 010203 Seru 010204 Robi 010205 Tena 010301 Dodota 010302 Sire 010303 Hitosa 010304 Tityo 010305 Digelu and Tijo 010306 Shirka 010307 Limu and Bilbilo 010308 Gedeb 010309 Kofele 010310 Munesa 010311 Ziway Dugda 020101 Dodola 020102 Adaba 020103 Nensebo 020104 Kokosa 020201 Dinsho 020202 Agarfa 020203 Gasera 020204 Sinana 020205 Goro 020206 Goba 020301 Gololcha 020302 Lege Hida 020303 Ginir 020304 Rayatu 020501 Arena Bulk 020502 Mena 020503 Berbere 020504 Gura Demole 020505 Meda Welabu 040101 Kacha 040102 Boreda 040103 West Abaya 040104 Arbaminch Zuria 040105 Chencha Zuria 040106 Deta 040107 Dera Malo 040201 Kemba 040202 Benke 040203 Gardula 040204 Guma Yade 040205 Konso 040301 Bako Gazer 040302 Benakule 040303 Hamer 040304 Geleb 040305 Mursubo 040401 Melekosa 040402 Gofa Zuria 040403 Zala 040404 Uba Male 040405 Basketo 049999 Region Gamo Gofa, Wereda unknown 050101 Achefer 050102 Bahir Dar Zuria 050103 Yilmana Densa 050104 Mecha 050201 Bubugn 050202 Huletej Enese 050203 Siso Enese 050204 Enbise Sar Medir 050301 Enarj Enagwa 050302 Shebel Berenta 050303 Enemay 050304 Debay Telatgin 050401 Mechakel 050402 Senan 050403 Gozamin 050404 Baso Liben 050405 Eneded 050406 Awabel 050407 Dejen 050501 Sekela 050502 Quarit 050503 Dega Damot 050504 Dembecha 050505 Jabi Tehnana 050506 Bure Shekudad 050507 Guagusa Wendo Berma 050601 Dangla 050602 Banja 050603 Ankesha 050701 Dangur 050702 Sandura 050703 Guangua 050704 Debati 050705 Wenbera 050706 Guba 060101 Setit 060104 Dabat 060105 Wegera 060201 Dib Bahir 060205 Debark 060302 Ebnat 060303 Kemkem 060401 Lay Gayint 060402 Tach Gayint 060403 Semada 060501 Farta 060502 Este 060503 Dera 060504 Fogera 060602 Lay Armachiho 060603 Gonder Zuria 060604 Dembia 060702 Chilga 060703 Alefa Takusa 070101 Gewane 070102 Afdem 070103 Doba 070104 Tulo 070105 Mesela 070106 Chiro 070107 Mieso 070108 Misrak Awash 070201 Erer 070203 Shinile 070204 Gurgura 070301 Jijiga 070302 Teferi Ber 070303 Kebri Beyah 070401 Gursum 070402 Babile 071001 Kurfa Chele 071002 Girewa 071003 Meyu Muluke 071004 Gola Oda 071005 Bedeno 071101 Kombolcha 071102 Jarso 071103 Hundane 071104 Fedis 071105 Hare Maya 071106 Kersa 071201 Gorogutu 071202 Metta 071203 Deder 071204 Melka Balo 071301 Anchar 071302 Guba Koricha 071303 Kuni 071304 Boke 071305 Daro Lebu 071306 Habro 080101 Darimu 080102 Supe and Sodo 080103 Dereni 080104 Yayu 080105 Hurumu 080106 Becho 080107 Metu 080108 Billo 080201 Dega 080202 Bedele 080203 Berecha 080204 Gechi 080205 Dedesa 080206 Gumay 080207 Setema 080208 Chera 080299 Bunno Awraja, Wereda unknown 080301 Halu 080302 Ale 080303 Saylem 080304 Dido Lalo 080305 Bure 080401 Sele 080402 Nono 080403 Masha 080404 Anderacha 080405 Yeke 080406 Godere 080501 Jikawo 080502 Itang 080503 Gambela 080504 Abobo 080505 Gor and Jor 080506 Akobo 090101 Limu Seka 090102 Limu Kosa 090103 Goma 090104 Gera 090201 Tiro Afeta 090202 Sekoru 090203 Janjaro 090204 Omo Nada 090205 Dedo 090206 Seka Chokorsa 090207 Mana 090208 Kersa 090209 Jimma 090301 Tocha 090302 Mareka 090303 Genabosa 090304 Lome 090305 Wushaye 090306 Ela 090401 Tiliku Gesha 090402 Gewata 090403 Gimbo 090404 Menjiwo 090405 Telo 090406 Cheta 090407 Decha 090408 Shewa Gimira 090409 Chena 090410 Tinishu Gesha 090501 Goldya 090502 Shasho 090503 Mehal Maji 090504 Kuret 090505 Tirma Tid 090506 Biro 090507 Gesha 090601 Sheka 090602 Temenja Yasj 090603 Gura Ferda 100101 Bita Baalo 100102 Meda 100103 Lay Bet 100104 Tach Bet 100105 Weremo and Wajitu 100106 Dera 100201 Antsokia 100202 Gishe 100203 Gera Medir 100204 Mama Medir 100205 Mezezo 100206 Lalo Medir 100207 Keya Gebriel 100301 Fursa 100302 Kewet 100304 Efrata and Jile 100305 Gemza 100306 Mafud 100401 Moja and Wadera 100402 Baso and Werana 100404 Ankober 100405 Asagirt 100406 Hageremariam 100407 Kesem 100408 Kimimit 100409 Angolala and Tara 100410 Sayadebir and Wayu 100411 Abichu and Teao 100412 Moret and Jiru 100501 Fentale 100502 Boset Werana 100503 Adama 100504 Lome 100505 Liben Zikuala 100506 Ad'a 100507 Gimbichu 100508 Shenkora 100509 Minjar 100601 Bora 100602 Dugda 100603 Ziway 100604 Arsi Negele 100605 Shashemene 100606 Siraro 100607 Alaba 100608 Dalocha 100609 Lanfro 100610 Silti 100611 Menseko and Mareko 100612 Sodo 100613 Kondaltiti 100701 Limu 100702 Angacha 100703 Kedida Gamela 100704 Sike 100705 Kacha Bira 100706 Omo Sheleko 100707 Tebaro 100708 Konteb 100801 Ilu 100802 Becho 100803 Tole 100804 Kakor Gedaba 100805 Ezsa and Welene 100806 Gumer 100807 Enemor and Ener 100808 Cheha 100809 Guro 100810 Ameya 100811 Wenchi 100812 Weliso 100813 Dawo 100901 Gido 100902 Aleltu 100903 Bereh 100904 Akaki 100905 Kersa and Malima 100906 Alem gena 100907 Welmera 100908 Addis Alem 100909 Meta Robi 100910 Ad'a Berga 100911 Mullu 100912 Sululta 101001 Ginderberet 101002 Jeldu 101003 Dendi 101004 Ambo 101005 Tikur Enchini 101006 Nono 101007 Dano 101008 Cheleya 101009 Bako Tibe 101101 Werajarso 101102 Hidabu Abote 101103 Kuyo 101104 Degem 101105 Girar Jarso 101106 Ensaro 101107 Debre Libanos 101108 Wuchale 101109 Yaya Guele 110101 Bolus 110102 Damot Gale 110103 Damot Weyde 110104 Humbo 110105 Sodo Zuria 110106 Ofa 110107 Koyisha 110201 Awasa Zuria 110202 Shebedino 110203 Arbe Gona 110204 Bensa 110205 Hagere Selam 110206 Aleta Wendo 110207 Dale 110208 Aroresa 110301 Bore 110302 Adola 110303 Wadera 110304 Odo Shakiso 110305 Uraga 110401 Liben 110402 Dolo Odo 110501 Hagere Mariam 110502 Arero 110503 Moyale 110504 Dire 110505 Teltele 110506 Yabelo 110507 Burji 110601 Wenago 110602 Bule 110603 Fiseha Genet 110604 Amaro 110605 Yirga Chefe 120101 Adi Arbata 120104 Enticho 120105 Adi Abeyto 120106 Adwa 120201 Gulemekida 120203 Sabuh and Seasi'e 120205 Ganta Afeshum 120301 Daeda Amba 120304 Tseray Belesa 120402 Enderta 120403 Didiba and Derga 120407 Hintalo 120501 Mehone 120502 Ambalage 120506 Tsetserat 120702 Lay Machew 120805 Tach Koraro 120809 Gultwedaj 130101 Ebantu 130102 Guda Kiremo 130103 Amuru 130104 Jardega Jarti 130105 Horo 130106 Abay Chomen 130107 Guduru 130108 Jimma Genete 130109 Abe Dengoru 130110 Limu 130201 Gudeya Bula 130202 Guba Seyu 130203 Sibusire 130204 Banaya Boshe 130205 Wami Hagelu 130206 Wayu Tuka 130207 Gutugida 130208 Diga 130209 Sasiga 130301 Sika Dulecha 130302 Nunu Kemba 130303 Jimma Arjo 130304 Dabohana 130305 Meko 130306 Sachi 130401 Menesibu 130402 Nejo 130403 Boji Dirmeji 130404 Lalu Asebe 130405 Gimbi 130406 Haru 130407 Nole Kaba 130408 Yubdo 130409 Ayra Guliso 130410 Boji Chokorsa 130411 Jarso 130501 Gidami 130502 Jimma Horo 130503 Gawo Qebe 130504 Dale Webera 130505 Dale Sida 130506 Lalo Qile 130507 Hawa Galan 130508 Seyu 130509 Yemalogua Welel 130510 Anfilo 130601 Gizen 130602 Kurmuk 130603 Asosa 130604 Begi Wabera 140101 Alamata 140102 Kobo 140201 Gubalafto 140202 Habru 140301 Ambasel 140302 Tehuldere 140303 Wara Babo 140401 Elidar 140402 Dubuti 140403 Awsa 140404 Afambo 140405 Mile 140501 Bati 140502 Kalu 140503 Deweyrahmed 140504 Artuma 140505 Eseye Gola 140506 Albuko 140601 Kuta Ber 140602 Desie Zuria 140701 Wea Ilu 140702 Jama 140703 Lege Hida 140801 Sayint 140802 Debre Sina 140803 Kelela 140901 Tenta 140902 Legambo 140903 Mekdela 141001 Delanta 141002 Dawunt 141101 Giden 141102 Mekit 141103 Butana 141201 Wefla 150100 Ketena 5 150200 Ketena 4 150300 Ketena 3 150400 Ketena 2 150500 Ketena 1 999999 Unknown This variable identifies the wereda in Ethiopia in which the household is located. Wereda is the third largest-scale geographic identifier available in the Ethiopian samples. IPUMS Type of resident <span class="h2">Block 1. Area Identification</span></p> <p>____ 1. Region <br />____ 2. Awraja <br />____ 3. Wereda <br />____ 4. Town <br />____ 5. Kefyegna <br />____ 6. Supervisory area <br />____ 7. Settlement area <br />____ 8. Enumeration area <br />9. Type of resident</p> <div class="i1">[] 1 Household<br />[] 2 Hotel or hostel resident<br />[] 3 Other collective quarter<br />[] 4 Homeless<br />[] 5 Nomadic</div><p>10. Housing unit serial no. ____ Ethiopia 1984: All households 1 Household 5 Nomadic (rural) 9 Unknown This variable indicates the type of resident. IPUMS Type of housing unit 42. What is the type of housing unit?</p> <div class="i1">[] 1 Conventional<br />[] 2 Improvised<br />[] 3 Mobile<br />[] 4 Other (Specify) ____</div> Ethiopia 1984: Urban households [discrepancies: none] 01 Conventional 02 Improvised 03 Mobile 04 Other 98 Unknown 99 NIU (not in universe) This variable indicates the type of housing unit. IPUMS Type of building 43. What is the type of building in which the housing unit is found?</p> <div class="i1">[] 0 Non-storeyed detached<br />[] 1 Non-storeyed 2 units attached<br />[] 2 Non-storeyed 3-5 units<br />[] 3 Non-storeyed 6 or more units<br />[] 4 One or more storeyed detached <br />[] 5 One or more storeyed, 2-3 units attached<br />[] 6 One or more storeyed, 4-6 units attached<br />[] 7 One or more storeyed, 7-10 units attached<br />[] 8 One or more storeyed, 11 or more units attached</div> Ethiopia 1984: Urban households [discrepancies: none] 01 Non-storeyed detached 02 Non-storeyed 2 units attached 03 Non-storeyed 3-5 units attached 04 Non-storeyed 6 or more units 05 One or more storeyed detached 06 One or more storeyed, 2-3 units attached 07 One or more storeyed, 4-6 units attached 08 One or more storeyed, 7-10 units attached 09 One or more, 11 or more units attached 98 Unknown 99 NIU (not in universe) This variable indicates the type of building. IPUMS Purpose of dwelling 44. What is the purpose of the housing unit?</p> <div class="i1">[] 1 Residential only<br />[] 2 Residential and establishment</div> Ethiopia 1984: Urban households [discrepancies: none] 1 Residential only 2 Residential and establishment 3 Hotel 4 Other collective 8 Unknown 9 NIU (not in universe) This variable indicates the purpose of dwelling. IPUMS Main construction material of walls 45. What is the major material used for the construction of wall of housing unit?</p> <div class="i1">[] 0 Bricks<br />[] 1 Stone and cement<br />[] 2 Stone and mud<br />[] 3 Blockets<br />[] 4 Wood and mud<br />[] 5 Bamboo and mud / Reed and mud<br />[] 6 Concrete or cement<br />[] 7 Corrugated iron<br />[] 8 Other (Specify) ____</div> Ethiopia 1984: Urban households [discrepancies: none] 01 Bricks 02 Stone and cement 03 Stone and mud 04 Blockets 05 Wood and mud 06 Bamboo, mud or reed 07 Concrete or cement 08 Corrugated iron 09 Other 98 Unknown 99 NIU (not in universe) This variable indicates the main construction material of walls. IPUMS Main construction material of roof 46. What is the major material used for the construction of roof of the housing unit?</p> <div class="i1">[] 1 Corrugated iron<br />[] 2 Concrete or cement<br />[] 3 Wood and mud<br />[] 4 Thatch<br />[] 5 Reed/Bamboo, thatch and mud<br />[] 6 Asbestos<br />[] 7 Other (Specify) ____</div> Ethiopia 1984: Urban households [discrepancies: none] 1 Corrugated iron 2 Concrete or cement 3 Wood and mud 4 Thatch 5 Reed, bamboo or thatch with mud 6 Asbestos 7 Other 8 Unknown 9 NIU (not in universe) This variable indicates the main construction material of the roof. IPUMS Main construction material of floor 47. What is the major material used for the construction of floor of the housing unit?</p> <div class="i1">[] 0 Earth/mud<br />[] 1 Wood tiles<br />[] 2 Cement/Concrete finish<br />[] 3 Plastic tile<br />[] 4 Cement or clay tile<br />[] 5 Marble tile<br />[] 6 Stone<br />[] 7 Bamboo/Reed<br />[] 8 Other (Specify) ____</div> Ethiopia 1984: Urban households [discrepancies: none] 01 Earth or mud 02 Wood tiles 03 Cement or concrete finish 04 Plastic tile 05 Cement or clay tile 06 Marble tile 07 Stove 08 Bamboo/reed 09 Other 98 Unknown 99 NIU (not in universe) This variable indicates the main construction material of the floor. IPUMS Ceiling in most of the dwelling 48. Does the major part of the housing unit have a ceiling?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> Ethiopia 1984: Urban households [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates that there is a ceiling in most of the dwelling. IPUMS Main construction material of ceiling 49. If yes in 48, what is the major material used for the construction of the ceiling?</p> <div class="i1">[] 1 Fabrics<br />[] 2 Hard fabrics<br />[] 3 Chip board<br />[] 4 Wooden<br />[] 5 Cement or concrete<br />[] 6 Clipboard<br />[] 7 Other (Specify) ____</div> Ethiopia 1984: Urban households with ceiling in most of the dwelling [discrepancies: type I trace; type II trace] 1 Fabrics 2 Hard fabrics 3 Chip board 4 Wooden 5 Cement or concrete 6 Chip board 7 Other 8 Unknown 9 NIU (not in universe) This variable indicates the main construction material of the ceiling. IPUMS Number of rooms 50. What is the number of rooms in the housing unit? <br />Enter the number of room in the space provided _ _ Ethiopia 1984: 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 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 87 87 88 88 89 89 90 90+ 99 Unknown This variable indicates the number of rooms in the dwelling. IPUMS Dwelling tenure 51. What is the type of tenure of the housing unit?</p> <div class="i1">[] 1 Owner occupied<br />[] 2 Rented from Kebele or City Residents Association<br />[] 3 Rented from public housing agency<br />[] 4 Paying difference in rent<br />[] 5 Rent free</div> Ethiopia 1984: Urban households [discrepancies: none] 1 Owner occupied 2 Rented from Kebele or city residents association 3 Rented from public housing agency 4 Paying difference in rent 5 Rent free 8 Unknown 9 NIU (not in universe) This variable indicates the type of dwelling tenure of the household. IPUMS Monthly rent amount (in Birr) 52. If rented, what is the monthly amount of rent in BIRR? <br />Enter the amount of rent in the space provided _ _ _ _ Ethiopia 1984: Urban households [discrepancies: none] This variable indicates the monthly rent amount (in Birr). ET1984A_0045 is a 5-digit numeric variable. Codes99998 = Unknown. 99999 = NIU. IPUMS Kitchen 53. What type of kitchen does the housing unit have?</p> <div class="i1">[] 1 No kitchen<br />[] 2 Modern kitchen, private<br />[] 3 Modern kitchen, shared<br />[] 4 Traditional kitchen, private<br />[] 5 Traditional kitchen, shared</div> Ethiopia 1984: All households 1 No kitchen 2 Modern kitchen private 3 Modern kitchen shared 4 Traditional kitchen private 5 Traditional kitchen shared 9 Unknown This variable indicates that the dwelling has a kitchen. IPUMS Fuel used for cooking 54. What type of fuel is usually used for cooking in the housing unit?</p> <div class="i1">[] 1 Electricity<br />[] 2 Gas<br />[] 3 Electricity and gas<br />[] 4 Electricity, firewood and charcoal<br />[] 5 Gas, firewood and charcoal<br />[] 6 Firewood and charcoal<br />[] 7 Firewood<br />[] 8 Other (Specify) ____</div> Ethiopia 1984: Urban households [discrepancies: none] 01 Electricity 02 Gas 03 Electricity and gas 04 Electricity, firewood, and charcoal 05 Gas, firewood, and charcoal 06 Firewood and charcoal (includes saw dust and leaves) 07 Firewood (includes saw dust and leaves) 08 Other 98 Unknown 99 NIU (not in universe) This variable indicates the fuel used for cooking. IPUMS Source of drinking water 55. Where does the housing unit get drinking water?</p> <div class="i1">[] 1 Tap inside the house<br />[] 2 Tap in compound, private<br />[] 3 Tap in compound, shared<br />[] 4 Outside compound, public tap<br />[] 5 Tap outside compound, shared<br />[] 6 Protected well or spring<br />[] 7 Unprotected well or spring<br />[] 8 River or lake/pond</div> Ethiopia 1984: Urban households [discrepancies: none] 01 Tap inside the house 02 Private tap in compound 03 Shared tap in compound 04 Public tap outside compound 05 Shared tap outside compound 06 Protected well or spring 07 Unprotected well or spring 08 River, lake or pond 98 Unknown 99 NIU (not in universe) This variable indicates the source of drinking water. IPUMS Bathroom type 56. What type of bathing facility does the housing unit have?</p> <div class="i1">[] 1 None<br />[] 2 Bath tub, private<br />[] 3 Bath tub, shared<br />[] 4 Shower, private<br />[] 5 Shower, shared<br />[] 6 Bath tub and shower, private<br />[] 7 Bath tub and shower, shared</div> Ethiopia 1984: Urban households [discrepancies: none] 1 None 2 Private bath tub 3 Shared bath tub 4 Private shower 5 Shared shower 6 Private bath tub and shower 7 Shared bath tub and shower 8 Unknown 9 NIU (not in universe) This variable indicates type of bathroom used by the household. IPUMS Toilet type 57. What type of toilet facility does the housing unit have?</p> <div class="i1">[] 1 None<br />[] 2 Flush toilet, private<br />[] 3 Flush toilet, shared<br />[] 4 Pit, private<br />[] 5 Pit, shared</div> Ethiopia 1984: Urban households [discrepancies: none] 1 None 2 Private flush toilet 3 Shared flush toilet 4 Private pit 5 Shared pit 8 Unknown 9 NIU (not in universe) This variable indicates the type of toilet used by the household. IPUMS Lighting 58. What type of lighting has the housing unit?</p> <div class="i1">[] 1 Electricity (Meter, private)<br />[] 2 Electricity (Meter, shared)<br />[] 3 Masho (storm lantern)<br />[] 4 Lantern<br />[] 5 Kerosene lamp<br />[] 6 Other (Specify) ____</div> Ethiopia 1984: Urban households [discrepancies: none] 1 Electricity (private meter) 2 Electricity (shared meter) 3 Storm lantern or masho 4 Lantern 5 Kerosene lamp 6 Other 8 Unknown 9 NIU (not in universe) This variable indicates the main source of lighting for the household. IPUMS Radio 59. Is there a radio in this housing unit?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> Ethiopia 1984: Urban households [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates that the household has a radio. IPUMS Telephone 60. Is there a telephone in this housing unit?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> Ethiopia 1984: Urban households [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates that the household has a telephone. IPUMS Television 61. Is there a television in this housing unit?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> Ethiopia 1984: Urban households [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates that the household has a television. IPUMS Main construction material of dwelling 42. What is the major material used for the construction of the housing unit?</p> <div class="i1">[] 0 Wood and thatch wall and thatch roof<br />[] 1 Wood and mud wall and thatch roof<br />[] 2 Wood and mud wall and wood and mud roof<br />[] 3 Wood and mud wall and corrugated iron roof<br />[] 4 Stone wall and thatch roof<br />[] 5 Stone wall and corrugated iron roof<br />[] 6 Stone wall and wood, mud and thatch roof<br />[] 7 Stone wall and wood, stone, mud and thatch roof<br />[] 8 Other ____</div> Ethiopia 1984: Rural households [discrepancies: none] 01 Wood and thatch wall and thatch roof 02 Wood and mud wall and thatch roof 03 Wood and mud wall and wood and mud roof 04 Wood and mud wall and corrugated iron roof 05 Stone wall and thatch roof 06 Stone wall and corrugated iron roof 07 Stone wall and wood, mud, and thatch roof 08 Stone wall and wood, stone, mud, and thatch roof 09 Other 98 Unknown 99 NIU (not in universe) This variable indicates the main construction material of the dwelling. IPUMS Room for sleeping shared with animals 45. Do domestic animals spend the night in the room(s) where members spend the night?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> Ethiopia 1984: Rural households [discrepancies: type I none; type II trace] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if there is a room for sleeping that is shared with animals. IPUMS Sex of first household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: All households 1 Male 2 Female 9 No deaths in the household This variable indicates the sex of first household death (in the past 12 months). IPUMS Age of first household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: 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 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 999 No deaths in the household This variable indicates the age of first household death (in the past 12 months). IPUMS Sex of second household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: All households 1 Male 2 Female 9 No second death in the household This variable indicates the sex of second household death (in the past 12 months). IPUMS Age of second household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: 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 38 040 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 63 065 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 82 085 85 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 096 96 098 98 099 99 999 No second death in the household This variable indicates the age of second household death (in the past 12 months). IPUMS Sex of third household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: All households 1 Male 2 Female 9 No third death in the household This variable indicates the sex of third household death (in the past 12 months). IPUMS Age of third household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: 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 32 034 34 035 35 040 40 042 42 045 45 047 47 048 48 049 49 050 50 051 51 052 52 055 55 056 56 058 58 059 59 060 60+ 999 No third death in the household This variable indicates the age of third household death (in the past 12 months). IPUMS Sex of fourth household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: All households 1 Male 2 Female 9 No fourth death in the household This variable indicates the sex of fourth household death (in the past 12 months). IPUMS Age of fourth household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: 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 16 018 18 020 20 021 21 022 22 024 24 025 25 026 26 027 27 028 28 029 29 030 30 032 32 035 35 040 40 047 47 049 49 050 50 051 51 052 52 055 55 056 56 059 59 060 60+ 999 No fourth death in the household This variable indicates the age of fourth household death (in the past 12 months). IPUMS Sex of fifth household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: All households 1 Male 2 Female 9 No fifth death in the household This variable indicates the sex of fifth household death (in the past 12 months). IPUMS Age of fifth household death (in the past 12 months) 41. Particulars of deaths in the households in the last 12 months.</p> <div class="i1">1. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">2. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">3. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">4. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div><div class="i1">5. Name of deceased</div><div class="i2">Sex _<br />Age _ _</div> Ethiopia 1984: All households 8 Unknown 9 No fifth death in the household This variable indicates the age of fifth household death (in the past 12 months). IPUMS Strata Ethiopia 1984: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 5-digit numeric variable with 0 implied decimal places 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 Residence status: de facto, de jure 1 Present resident 2 Absent resident 3 Visitor/non-resident 4 De facto population (present persons) 9 Unknown/missing RESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents. It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night. De jure population: present residents and absent residents. De facto population: present residents and visitors/non-residents. 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 Children ever born 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. IPUMS Children surviving 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHSURV reports the number of children born to a woman who were still living at the time of the census. IPUMS Number of female children ever born 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. IPUMS Number of male children ever born 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. IPUMS Number of female children surviving 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) CHSURVF indicates the number of female children ever born to a woman still living at the time of the census. IPUMS Number of male children surviving 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) CHSURVM indicates the number of male children ever born to a woman still living at the time of the census. IPUMS Number of births last year None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. IPUMS Children surviving from births last year 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) BIRTHSURV indicates the number of children born in the past twelve months who were still living at the time of the census. IPUMS Number of children dead 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown/missing 99 NIU (not in universe) CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births. IPUMS Number of female children dead 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) CHDEADFEM indicates the number of female children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Female children ever born" and "Female children surviving" variables. That is not done in CHDEADFEM, which includes only the samples that directly reported the information in the appropriate form. IPUMS Number of male children dead 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) CHDEADMALE indicates the number of male children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Male children ever born" and "Male children surviving" variables. That is not done in CHDEADMALE, which includes only the samples that directly reported the information in the appropriate form. 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 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census. IPUMS Number of own female children in household 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 17 17 20 20+ 98 Unknown 99 NIU (not in universe) HOMEFEM indicates the number of female children born living in the household with their mother (the respondent). IPUMS Number of own male children in household 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) HOMEMALE indicates the number of male children born living in the household with their mother (the respondent). IPUMS Number of own children living elsewhere 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 98 Unknown 99 NIU (not in universe) AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census. IPUMS Number of own female children living elsewhere 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) AWAYFEM indicates the number of surviving biological female children not living in the household with their mother (the respondent). IPUMS Number of own male children living elsewhere 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) AWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent). IPUMS Region of birth, Ethiopia 01 Arsi 02 Bale 03 Eritrea and Aseb 04 Gamo Gofa 05 Gojam 06 Gonder 07 Hararge 08 Ilubabor 09 Kefa 10 Shewa 11 Sidamo 12 Tigray 13 Welega 14 Welo 15 Addis Ababa 98 Unknown 99 NIU (not in universe) BPLET1 indicates the region in Ethiopia in which the person was born. IPUMS Awraja of birth, Ethiopia 0101 Arba Gugu Awraja 0102 Ticho Awraja 0103 Chilalo Awraja 0199 Region Arsi, Awraja unknown 0201 Genale Awraja 0202 Mendeyo Awraja 0203 Wabe Awraja 0204 Elkere Awraja 0205 Dolo Awraja 0299 Region Bale, Awraja unknown 0399 Region Eritrea and Aseb, Awraja unknown 0401 Gamo Awraja 0402 Gardula Awraja 0403 Geleb and Hamerbako Awraja 0404 Gofa Awraja 0499 Region Gamo Gofa, Awraja unknown 0501 Bahir Dar Awraja 0502 Mota Awraja 0503 Bichena Awraja 0504 Debre Markos Awraja 0505 Koladega Damot Awraja 0506 Agew Midir Awraja 0507 Metekel Awraja 0599 Region Gojam, Awraja unknown 0601 Wegera Awraja 0602 Semen Awraja 0603 Libo Awraja 0604 Gayint Awraja 0605 Debre Tabor Awraja 0606 Gonder Awraja 0607 Chilga Awraja 0699 Region Gonder, Awraja unknown 0701 Chercher Adal Gara Guracha Awraja 0702 Dire Dawa Isa And Gurgura Awraja 0703 Jijiga Awraja 0704 Gursum Awraja 0705 Degahbur Awraja 0707 Kelafo Awraja 0708 Kebri Dehar Awraja 0709 Gode Awraja 0710 Gara Muleta Awraja 0711 Harar Zuria Awraja 0712 Obora Awraja 0713 Habro Awraja 0799 Region Harage, Awraja unknown 0801 Sor and Geba Awraja 0802 Bunno Awraja 0803 Gore Awraja 0804 Mocha Awraja 0805 Gambela Awraja 0899 Region Ilubabor, Awraja unknown 0901 Limu Awraja 0902 Jimma Awraja 0903 Kulo Konta Awraja 0904 Kefa Awraja 0905 Maji Goldya Awraja 0906 Gimira Awraja 0999 Region Kefa, Awraja unknown 1001 Merhabete Awraja 1002 Menz and Gishe Awraja 1003 Yifat and Timuga Awraja 1004 Tegulet and Bulga Awraja 1005 Yerer and Kereyu Awraja 1006 Haikoch and Butajira Awraja 1007 Kembata and Hadiya Awraja 1008 Chebo and Gurage Awraja 1009 Menagesha Awraja 1010 Jibat and Mecha Awraja 1011 Selale Awraja 1099 Region Shewa, Awaja unknown 1101 Welayita Awraja 1102 Sidama Awraja 1103 Jemjem Awraja 1104 Borena Awraja 1105 Arero Awraja 1106 Gedeo Awraja 1199 Region Sidamo, Awraja unknown 1201 Adwa Awraja 1202 Agame Awraja 1203 Hulet Awlalo Awraja 1204 Enderta Awraja 1205 Raya and Azebo Awraja 1206 Temben Awraja 1207 Axum Awraja 1208 Shire Awraja 1299 Region Tigray, Awraja unknown 1301 Horo Gudru Awraja 1302 Nekemte Awraja 1303 Arjo Awraja 1304 Gimbi Awraja 1305 Kelem Awraja 1306 Asosa Awraja 1399 Region Welega, Awraja unknown 1401 Raya and Kobo Awraja 1402 Yeju Awraja 1403 Ambasel Awraja 1404 Awsa Awraja 1405 Kalu Awraja 1406 Desie Zuria Awraja 1407 Wera Ilu Awraja 1408 Borena Awraja 1409 Were Himenu Awraja 1410 Wadla Delanta Awraja 1411 Lasta Awraja 1412 Wag Awraja 1499 Region Welo, Awaja unknown 1500 Addis Ababa 1599 Region Addis Ababa, Awraja unknown 9998 Unknown 9999 NIU (not in universe) BPLET2 indicates the awraja in Ethiopia in which the person was born. 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, Ethiopia 000 NIU (not in universe) 100 No education 110 Literate or literacy program 120 Non-regular education 130 Pre-school 201 Basic education, Grade 1 202 Basic education, Grade 2 203 Basic education, Grade 3 204 Basic education, Grade 4 205 Basic education, Grade 5 206 Basic education, Grade 6 207 Basic education, Grade 7 208 Basic education, Grade 8 209 Basic education, Grade 9 210 Basic education, Grade 10 211 Basic education, Grade 11 212 Basic education, Grade 12 300 Certificate level 1 (10+1) 310 Certificate level 2 (10+2) 311 Certificate level 2 (10+2), incomplete 312 Certificate level 2 (10+2), complete 320 Diploma (10+3) 321 Diploma (10+3), year 1 322 Diploma (10+3), year 2 323 Diploma (10+3), complete 400 Certificate or diploma 410 Certificate 420 Diploma 421 Diploma, incomplete 422 Diploma, complete 430 Bachelor 431 Bachelor, incomplete 432 Bachelor, complete 440 Graduate school 441 Graduate, incomplete 442 Graduate, masters 443 Graduate, doctorate 998 Unknown EDUCET indicates the person's educational attainment in Ethiopia in terms of the level of schooling completed. 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 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 Status in employment (class of worker) [general version] NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Status in employment (class of worker) [detailed version] 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Days worked last week Did not work 1 1 day 2 2 days 3 3 days 4 4 days 5 5 days 6 6 days 7 7 days 8 Unknown 9 NIU (not in universe) DAYSWRK indicates the number of days worked by the person during the week preceding the enumeration. IPUMS Years residing in current locality 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) MIGYRS1 indicates how many years the person has resided in their current locality of residence. IPUMS Disability status NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown DISABLED indicates whether the person reported a disability of any kind. IPUMS Employment disability 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. IPUMS Blind or vision-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISBLND indicates whether the person was blind or had limited vision. IPUMS Deaf or hearing-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISDEAF indicates whether the person was deaf or had limited hearing. IPUMS Mute or speech impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISMUTE indicates if the person could not speak or had a significant speech impediment. IPUMS Disability affecting lower extremities NIU (not in universe) 1 Yes 2 No 9 Unknown DISLOWR indicates whether the person lacked use of one or both legs. IPUMS Disability affecting upper extremities NIU (not in universe) 1 Yes 2 No 9 Unknown DISUPPR indicates whether the person lacked full use of at least one arm or hand. IPUMS Person number (within household) Ethiopia 1984: All records 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 This variable indicates the person number (within household). IPUMS Residence status 16. Resident Status</p> <div class="i1">[] 1 Resident present<br />[] 2 Resident absent<br />[] 3 Visitor</div> Ethiopia 1984: All persons 1 Resident present 2 Resident absent 3 Visitor 9 Unknown This variable indicates the person's residence status. IPUMS Relationship to household head 17. Relationship to head of household</p> <div class="i1">[] 0 Head<br />[] 1 Spouse<br />[] 2 Son/daughter of head and spouse<br />[] 3 Son/daughter of head<br />[] 4 Son/daughter of spouse<br />[] 5 Mother or father of head/spouse<br />[] 6 Brother or sister of head/spouse<br />[] 7 Other relatives<br />[] 8 Non relative</div> Ethiopia 1984: All persons 01 Head 02 Spouse 03 Child of head and spouse 04 Child of head 05 Child of spouse 06 Parent of head or spouse 07 Sister or brother of head or spouse 08 Other relative 09 Not relative 99 Unknown This variable indicates the person's relationship to household head. IPUMS Sex 18. Sex</p> <div class="i1">[] 1 Male<br />[] 2 Female</div> Ethiopia 1984: All persons 1 Male 2 Female 9 Unknown This variable indicates the person's sex. IPUMS Age 19. Age</p> <div class="i1">[Instructions illegible] <br />_ _</div> Ethiopia 1984: All persons 000 Less than one year 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 97 999 Unknown This variable indicates the person's age. IPUMS Religion 20. Religion</p> <div class="i1">[] 1 Orthodox<br />[] 2 Protestant <br />[] 3 Catholic<br />[] 4 Islam<br />[] 5 Other religion<br />[] 6 Idolatry<br />[] 7 Pagan</div> Ethiopia 1984: Resident household members [discrepancies: type I 0.2%; type II trace] 1 Orthodox 2 Protestant 3 Catholic 4 Muslim 5 Traditional 6 Other 8 Unknown 9 NIU (not in universe) This variable indicates the person's religion. IPUMS Ethnic group 21. Ethnic Group</p> <div class="i1">What is [person]'s ethnic group?<br />____</div> Ethiopia 1984: Resident household members [discrepancies: type I 0.2%; type II trace] 000 Amhara or Gondere, Gainte, Semein, Farte, Gojame, Dante, Wadle, Delante, Sainte, Laste, Shewe, Gulete, Jiruye 001 Adere, Hadere, Arere or Harare 002 Argoba 003 Gurage, Cheha, Enemur, Kestane, Sodo, Meskan, Muher, Silti, Gogot, Gumer, Endegagn, Enekor, Muger, Megareb, Gura, Azhaya, Welene, Mareqo or Iner 004 Tigre, Habab, Ad Tekele, Ad TiMariam or Mensa 005 Tigrawawi, Tigrie 006 Agew, Awnegi, Konfele 007 Bilen 008 Wage 009 Kimant 010 Beja, Bedawi or Hadareb 011 Oromo, Tulama, Itu, Kereyu, Wello, Lemu, Lika, Gelen, Becho, Abicho, Selalie, Arsi, or Raya Azebo 012 Borena 013 Guji 014 Arbore, Erbore, Aldi 015 Bussa, Musiya 016 Dasanech, Feleb, Geleba 017 Gewada, Mashele, Kule, Gobeze, Werze or Ale 018 Gidole, Darashat; Gardula, Diraytat, Duretu 019 Konso, Karate 020 Tsemay, Semay, Dume or Kuile 021 Sidama 022 Burji dashi, Bambela 023 Gedeo, Derasa 024 Hadiya, Adiya 025 Kembata, Kembicho or Hayahaya 026 Alaba muger, Ganzo, Sis, or Shay 027 Tamberawa 028 Kebina 029 Afar, Denakil, Dankele, Belewse, Damohota, Dahimela, Ankela or Modayitu 030 Somali, Kard, Issaq, Hawya, Gedeburbi or Issa 031 Saho, Shaha, Debri Mila, Asawurta, Miniferi, Hanhazo, Irob, Tewrwua 032 Mao, Kenfelo, Genza, Sigoyu, Gewami or Banbisha 033 Ari, Ara, Aro/Bako, Kalu 034 Hamer, Beshan, Bana or Karo 035 Dami 036 Dizi, Maji 037 Yemsa, Yema, Janjaro 038 Bento, Benchinon, She, Gimira 039 Kafa, Keficho, Kanga, Beshguaro 040 Nao, Nawo 041 Mocha, Sheki 042 Shako, Dizu, Bula, Dersa, Derso, Doreso 043 Shenash, Boro, Darecha, Chico, Semein Chico 044 Domete, Kulo, Dawro 045 Konta 046 Basketo, Angila, Mashera, Doko, Dolo Dola 047 Dorze 048 Gamo 049 Ganjile, Bacha 050 Gofa, Genu 051 Kechem, Kacamo, Gatsam, Haruro 052 Hoyira, Amaro, Amariti, Gidito 053 Male 054 Malo, Dawla 055 Chara 056 Welayita 057 Zeyise, Zergula 058 Ayida 059 Surma, Tirma, Dama 060 Guagu, Kuagu, Muguji, Udi, Gnedenie 061 Me-ein, Meken, Dayno, Sarkemo, Boju, Bodu, Teshan, Minit 062 Mesengo, Majank, Mezhnger 063 Mursi, Mun, Muni, Gnikalabong, Tama 064 Suri, Chai, Gnikorma 065 Zilmam, Bale, Male, Lalmam 066 Murle, Alawo mursie, Omo Murle, Others 067 Agnuwa, Agnuwak, Ymbo 068 Maban 069 Nuwer, Obigar 070 Gnangetom, Turkana, Buno 071 Berta 072 Gamili 073 Gobat 074 Miyu 075 Nidashi 076 Fakunkum 077 Undu 078 Gebato 079 Benishangul 080 Jeblawi, Areko 081 Kunama, Bada, Kazan, Baza, Omayshe Berka, Bitama, Elit, Marda, Betit, Begodas, Tika 082 Woyito 083 Felasha, Kayla, Bete Israel 084 Koma, Komo, Hayahaya, Meden 085 Ganzza, Ganzo, Sis, Shai, Uluha 087 Shita, Chita, Langa 088 Nara, Bariya, Marda, Higer, Mogari Santora, Koyiat, Koyisha 095 Ethiopians whose ethnic groups not identified 096 Non-Ethiopian foreigners 097 Born from parents with different ethnic groups 098 Other ethnic group 998 Unknown 999 NIU (not in universe) This variable indicates the person's ethnic group. IPUMS Language usually spoken at home 22. Language</p> <div class="i1">What is the language usually spoken at home?<br />____</div> Ethiopia 1984: Resident household members [discrepancies: type I 0.2%; type II trace] 00 Amarignia 01 Aderignia 02 Argobignia 03 Guragignia 04 Cheignia 05 Enmurignia 06 Kestanignia Sodognia 07 Meskanignia 08 Siltignia 09 Tigre, Mensa 10 Tigrignia 11 Gafatignia 12 Agewign or Awungnia, Onfelignia 13 Bilenignia 14 Kimantignia 15 Bejinia, Bedawignia, Badarebignia, Benikomrignia 16 Oromign, Bejinia, Borenihmia, Kotugni 17 Orboregnia, Eirboegnia, Aljenia 18 Kusegnia, Mosiyagnia 19 Dasanchignia, Gelebignia, Marlegnia 20 Gewadignia, Mashlegnia, Kulegnia, Gobezignia, Werzegnia 21 Gidolignia, Derashtignia, Gardulignia, Dildettignia, Dultegnia 22 Konsogniakaratignia 23 Damayignia, Dumeyignia, Kuwelignia 24 Sidamognia 25 Burjignia, Dashignia, Sambalignia 26 Gedeognia 27 Hadiygna, Odiyignia 28 Kembatignia, Hambatignia 29 Alabayignia 30 Tambarognia 31 Kebinignia 32 Afarignia 33 Somalignia 34 Sahognia, Shahognia 35 Maognia, Anfilognia, Ganzegnia, Ganzognia, Gemomignia, Bambeshignia 36 Orignia, Aragnia, Aregnia, Arignia, Bakognia, Shanganognia 37 Hamerignia, Bashadagnia, Banagnia, Karognia 38 Dimignia, Majignia 39 Yemsagnia, Yemogniajanjarognia 40 Benchchignia, Benchognia, Shignia, Gemirignia 41 Kefignia, kefichignia, Michegnia, Higugnia 42 Naognia, Nawognia 43 Shekignia, Dizognia 44 Shinashagnia, Borignia, Chekognia, Dorchognia 45 Omategnia, Kulignia, Dawrognia, Kontignia 46 Basketognia, Dokognia, Dolognia, Dawelgnia 47 Dorzignia 48 Gamognia 49 Ganjulignia, Bachignia 50 Gofignia, Genugnia 51 Kechmignia, Gachamignia, Hafarignia 52 Koyrignia, Omarignia, Karignia, Gidichegnia 53 Ma-egnia 54 Malognia, Dawulignia 55 Charignia 56 Welayitignia 57 Zeysignia, Zergulignia 58 Oyidignia 59 Surmignia, Turmignia, Damignia 60 Guagugnia, Kigugnia, Mugujugnia, Dedegnia, Nidingnia 61 Me-enignia, Mekanignia, Daymignia, Barkemignia/Dignia, Tishanignia/ 62 Mesengognia, Mezhngergnia, Majanegegnia 63 Mursignia, Munegnia, Munignia, Tamignia, Gnikasa Bengegnia 64 Surignia, Chayignia, Gnikaromegnia 65 Zelmamignia, Balegnia, Malegnia, Dalmamegnia 66 Mursignia 67 Agniwagnia, Agnuwakgnia, Yembognia 69 Nuwerignia, Abigargnia 70 Gnangatognia, Turkangnia, Sumignia 71 Bortagnia 72 Wechwetignia 73 Jeblewignia, Arebegnia, 74 Gamilignia 75 Gebatignia 76 Nidan, Agarognia 77 Kunamignia 78 Komignia, Komignia, Hayahayagnia, Adinignia 79 Gumezignia, Ganzignia, Bilegnia, Shayignia, Disohagnia 80 Kawamignia, Kimignia 81 Shetagnia, Chetagnia, Langagnia 82 Nargnia, Bargnia, Mardagnia 90 Others 98 Unknown 99 NIU (not in universe) This variable indicates the language the person usually speaks at home. IPUMS Region of birth <span class="em">Place of birth</span> <br />Was [person] born in an urban or rural area? </p> <div class="i1">If in an urban area, write the names of the town, wereda, district, and region and if in a rural area, write the names of the wereda, district and region in the appropriate columns.<br />23. Town ____<br />24. Wereda ___ <br />25. District ____<br />26. Region ____</div> Ethiopia 1984: Resident household members born in place different from current residence [discrepancies: not verifiable] 01 Arsi 02 Bale 03 Eritrea and Aseb 04 Gamo Gofa 05 Gojam 06 Gonder 07 Hararge 08 Ilubabor 09 Kefa 10 Shewa 11 Sidamo 12 Tigray 13 Welega 14 Welo 15 Addis Ababa 98 Unknown 99 NIU (not in universe) This variable indicates the person's region of birth, if different from current residence. IPUMS Awraja of birth <span class="em">Place of birth</span> <br />Was [person] born in an urban or rural area? </p> <div class="i1">If in an urban area, write the names of the town, wereda, district, and region and if in a rural area, write the names of the wereda, district and region in the appropriate columns.<br />23. Town ____<br />24. Wereda ___ <br />25. District ____<br />26. Region ____</div> Ethiopia 1984: Resident household members born in place different from current residence [discrepancies: not verifiable] 0101 Arba Gugu Awraja 0102 Ticho Awraja 0103 Chilalo Awraja 0199 Region Arsi, Awraja unknown 0201 Genale Awraja 0202 Mendeyo Awraja 0203 Wabe Awraja 0204 Elkere Awraja 0205 Dolo Awraja 0299 Region Bale, Awraja unknown 0399 Region Eritrea and Aseb, Awraja unknown 0401 Gamo Awraja 0402 Gardula Awraja 0403 Geleb and Hamerbako Awraja 0404 Gofa Awraja 0499 Region Gamo Gofa, Awraja unknown 0501 Bahir Dar Awraja 0502 Mota Awraja 0503 Bichena Awraja 0504 Debre Markos Awraja 0505 Koladega Damot Awraja 0506 Agew Midir Awraja 0507 Metekel Awraja 0599 Region Gojam, Awraja unknown 0601 Wegera Awraja 0602 Semen Awraja 0603 Libo Awraja 0604 Gayint Awraja 0605 Debre Tabor Awraja 0606 Gonder Awraja 0607 Chilga Awraja 0699 Region Gonder, Awraja unknown 0701 Chercher Adal Gara Guracha Awraja 0702 Dire Dawa Isa And Gurgura Awraja 0703 Jijiga Awraja 0704 Gursum Awraja 0705 Degahbur Awraja 0707 Kelafo Awraja 0708 Kebri Dehar Awraja 0709 Gode Awraja 0710 Gara Muleta Awraja 0711 Harar Zuria Awraja 0712 Obora Awraja 0713 Habro Awraja 0799 Region Harage, Awraja unknown 0801 Sor and Geba Awraja 0802 Bunno Awraja 0803 Gore Awraja 0804 Mocha Awraja 0805 Gambela Awraja 0899 Region Ilubabor, Awraja unknown 0901 Limu Awraja 0902 Jimma Awraja 0903 Kulo Konta Awraja 0904 Kefa Awraja 0905 Maji Goldya Awraja 0906 Gimira Awraja 0999 Region Kefa, Awraja unknown 1001 Merhabete Awraja 1002 Menz and Gishe Awraja 1003 Yifat and Timuga Awraja 1004 Tegulet and Bulga Awraja 1005 Yerer and Kereyu Awraja 1006 Haikoch and Butajira Awraja 1007 Kembata and Hadiya Awraja 1008 Chebo and Gurage Awraja 1009 Menagesha Awraja 1010 Jibat and Mecha Awraja 1011 Selale Awraja 1099 Region Shewa, Awaja unknown 1101 Welayita Awraja 1102 Sidama Awraja 1103 Jemjem Awraja 1104 Borena Awraja 1105 Arero Awraja 1106 Gedeo Awraja 1199 Region Sidamo, Awraja unknown 1201 Adwa Awraja 1202 Agame Awraja 1203 Hulet Awlalo Awraja 1204 Enderta Awraja 1205 Raya and Azebo Awraja 1206 Temben Awraja 1207 Axum Awraja 1208 Shire Awraja 1299 Region Tigray, Awraja unknown 1301 Horo Gudru Awraja 1302 Nekemte Awraja 1303 Arjo Awraja 1304 Gimbi Awraja 1305 Kelem Awraja 1306 Asosa Awraja 1399 Region Welega, Awraja unknown 1401 Raya and Kobo Awraja 1402 Yeju Awraja 1403 Ambasel Awraja 1404 Awsa Awraja 1405 Kalu Awraja 1406 Desie Zuria Awraja 1407 Wera Ilu Awraja 1408 Borena Awraja 1409 Were Himenu Awraja 1410 Wadla Delanta Awraja 1411 Lasta Awraja 1412 Wag Awraja 1499 Region Welo, Awaja unknown 1500 Addis Ababa 1599 Region Addis Ababa, Awraja unknown 9998 Unknown 9999 NIU (not in universe) This variable indicates the person's awraja of birth. IPUMS Duration of continuous residence in current town 27. What is the number of years [person] has continuously lived in this wereda?</p> <div class="i1">____</div> Ethiopia 1984: Resident household members born in place different from current residence [discrepancies: not verifiable] 00 Less than 1 year 01 1 year 02 2 years 03 3 04 4 05 5 06 6 to 9 years 07 10 to 15 years 08 More than 15 years 98 Unknown 99 NIU (not in universe) This variable indicates the person's duration of continuous residence in current town. IPUMS Disability status <span class="em">Disability status</span> <br />28. Is [person] disabled? If yes, state type of disability.</p> <div class="i1">____</div> Ethiopia 1984: Resident household members [discrepancies: type I 0.2%; type II trace] 00 Not disabled 01 Full blind 02 One eye blind 03 Two ears deaf 04 One ear blind 05 Deaf and mute 06 Deaf, mute, and blind 07 One leg amputated below knee 08 One leg amputated above knee 09 Two legs amputated below knee 10 Two legs amputated above knee 11 Both arms and legs amputated 12 One arm amputated below elbow 13 One arm amputated above elbow 14 Two arms amputated below elbow 15 Two arms amputated above elbow 16 Limp or having only one leg 17 Limp or having no legs 18 Mental sickness or madness 19 Paralyzed in one leg 20 Paralyzed in both legs 21 Paralyzed in one arm 22 Paralyzed in both arms 23 Complete paralysis in both arms and legs 24 Paralyzed in one arm and one leg 25 Leprosy 26 Epilepsy 27 Multiple disability 28 Other 98 Unknown 99 NIU (not in universe) This variable indicates the person's disability status. IPUMS Education level currently attending <span class="em">Educational status</span> <br />29. Write grade enrolled for those now attending, 24 if attended in the past, 25 if never attended. </p> <div class="i1">_ _</div> Ethiopia 1984: Resident household members age 5+ [discrepancies: type I 0.1%; type II trace] 00 Pre-school or under grade 1 01 Grade 1 02 Grade 2 03 Grade 3 04 Grade 4 05 Grade 5 06 Grade 6 07 Grade 7 08 Grade 8 09 Grade 9 10 Grade 10 11 Grade 11 12 Grade 12 20 School, institute, college, or university above grade 12 to qualify with BA or BSc degree 21 College or university at level above grade 12 to obtain first degree, BA, BSc degree 22 University in post-graduate program 23 Educational institution not classified in regular education 24 Attended in the past 25 Never attended 98 Unknown 99 NIU (not in universe) This variable indicates the current level of education of a person who is attending school. IPUMS Education level completed 30. Highest grade completed</p> <div class="i1">Is [person] illiterate? Write 00 for illiterate and if literate, highest grade completed.<br />_ _</div> Ethiopia 1984: Resident household members age 5+ [discrepancies: type I 0.1%; type II trace] 00 Illiterate 01 Grade 1 and able to read and write 02 Grade 2 and able to read and write 03 Grade 3 and able to read and write 04 Grade 4 05 Grade 5 06 Grade 6 07 Grade 7 08 Grade 8 09 Grade 9 10 Grade 10 11 Grade 11 12 Grade 12 20 Year 1 or more in a program above grade 12 in a school, institute, college, or university not intended to qualify with first degree, BA, or BSc degree 21 Year 1 or more in a program above grade 12 in a college or university intended to qualify for first degree, BA, or BSc but not yet awarded with degree 22 First degree, BA, BSc, LLB or similar qualification 23 Year 1 or more above first degree in graduate program but not yet awarded with degree 24 Masters or equivalent 25 Doctorate or equivalent 26 Able to read and write but qualification not in standard educational classification 98 Unknown 99 NIU (not in universe) This variable indicates the person's highest level of completed education. IPUMS Marital status 31. Marital status</p> <div class="i1">[] 1 Never married<br />[] 2 Married<br />[] 3 Divorced<br />[] 4 Widowed<br />[] 5 Separated</div> Ethiopia 1984: Resident household members age 10+ [discrepancies: type I 0.1%; type II trace] 1 Never married 2 Married 3 Divorced 4 Widowed 5 Separated 8 Unknown 9 NIU (not in universe) This variable indicates the person's marital status. IPUMS Days of work last week 32. How many days has [the person] done productive work during last 7 days? ____ Ethiopia 1984: Urban household members age 10+ [discrepancies: type I trace; type II trace] 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 Unknown 9 NIU (not in universe) This variable indicates the number of days worked by the person during the last week. IPUMS Worked most of the last 12 months 32. Was [person] engaged in productive work during most of the last 12 months?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> Ethiopia 1984: Rural household members age 10+ [discrepancies: type I trace; type II trace] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person worked most of the last 12 months. IPUMS Reason for not working 33. If did not work, reason for not working. </p> <div class="i1">If reported as not working in column 32 (code 2), what is the reason for not working?<br />[Question 33 was asked for household members age 10+ who reported not being engaged in productive work during the last 12 months.]<br />____</div> Ethiopia 1984: Resident household members age 10+ who were not working [discrepancies: type I 1%; type II 0.7%] 01 Unemployed without work experience 02 Unemployed with work experience 03 Employed but did not work in the last seven days 04 Not worked because of off work season 05 Student 06 Unpaid house workers 07 Disabled 08 Beggars 09 Prostitutes 10 Child 11 Pensioners, living with family support and contribution 98 Unknown 99 NIU (not in universe) This variable indicates the person's reason for not working. IPUMS Occupation (2-digit) 34. Occupation </p> <div class="i1">_ _ _</div> Ethiopia 1984: Resident household members age 10+ who have worked [discrepancies: type I 0.2%; type II 0.1%] 001 Physical scientists and related technicians 002 Architects, engineers and related technicians 004 Aircraft and ships' officers 005 Life scientists and related technicians 006 Medical, dental, veterinary, and related workers 008 Statisticians, mathematicians, systems analysts and related technicians 009 Economists 011 Accountants 012 Jurists 013 Teachers 014 Workers in religion 015 Authors, journalists and related writers 016 Sculptors, painters, photographers and related creative artists 017 Composers and performing artists 018 Athletes, sportsmen and related workers 019 Professional, technical and related workers not elsewhere classified 020 Legislative officials and government administrators 021 Managers 029 Other administrative and managerial workers 030 Clerical supervisors 031 Government executive officials 032 Stenographers, typists and card and tapepunching machine operators 033 Bookkeepers, cashiers and related workers 034 Computing machine operators 035 Transport and communications supervisors 036 Transport conductors 037 Mail distribution clerks 038 Telephone and telegraph operators 039 Clerical and related workers not elsewhere classified 040 Managers (wholesale and retail trade) 041 Working proprietors (wholesale and retail trade) 042 Sales supervisors and buyers 043 Technical salesmen, commercial travellers and manufacturers' agents 044 Insurance, real estate, securities and business services salesmen and auctioneers 045 Salesmen, shop assistants and related workers 049 Sales workers not elsewhere classified 050 Managers (catering and lodging services) 051 Working proprietors (catering and lodging services) 052 Housekeeping and related service supervisors 053 Cooks, waiters, bartenders and relaters workers 054 Maids and related housekeeping service workers not elsewhere classified 055 Building caretakers, charworkers, cleaners and related workers 056 Launderers, drycleaners and pressers 057 Hairdressers, barbers, beauticians and related workers 058 Protective service workers 059 Service workers not elsewhere classified 060 Farm managers and supervisors 061 Farmers 062 Agricultural and animal husbandry workers 063 Forestry workers 064 Fishermen, hunters and related workers 069 Other agricultural, animal husbandry and forestry workers, fishermen and hunters 070 Production supervisors and general foremen 071 Miners, quarrymen, well drillers and related workers 072 Metal processers 073 Wood preparation workers and paper makers 074 Chemical processers and related workers 075 Spinners, weavers, knitters, dyers and related workers 076 Tanners, fellmongers and pelt dressers 077 Food and beverage processers 078 Tobacco preparers and tobacco product makers 079 Tailors, dressmakers, sewers, upholsterers and related workers 080 Shoemakers and leather goods makers 081 Cabinetmakers and related woodworkers 082 Stone cutters and carvers 083 Blacksmiths, toolmakers and machinetool operators 084 Machinery fitters, machine assemblers and precision instrument makers (except electrical) 085 Electrical fitters and related electrical and electronics workers 086 Broadcasting station and sound equipment operators and cinema projectionists 087 Plumbers, welders, sheet metal and structural metal preparers and erectors 088 Jewellery and precious metal workers 089 Glass formers, potters and related workers 090 Rubber and plastics product makers 091 Paper and paperboard products makers 092 Printers and related workers 093 Painters 094 Production and related workers not elsewhere classified 095 Bricklayers, carpenters and other construction workers 096 Stationary engine and related equipment operators 097 Materialhandling and related equipment operators, dockers and freight handlers 098 Transport equipment operators 099 Labourers not elsewhere classified 998 Unknown 999 NIU (not in universe) This variable indicates the person's occupation (2-digit). IPUMS Industry (1-digit) 35. Major product or service of establishment</p> <div class="i1">_ _ _</div> Ethiopia 1984: Resident household members age 10+ who have worked [discrepancies: type I 0.2%; type II 0.1%] 01 Agriculture, forestry, hunting and fishing 02 Mining and quarrying 03 Manufacturing 04 Electricity, gas, and water 05 Construction 06 Export and import trade 07 Wholesale and retail trade within the country 08 Transport and related works 09 Bank, insurance and business service 10 Public administration, social cultural, recreational, personal, and household services 98 Unknown 99 NIU (not in universe) This variable indicates the person's industry (1-digit). IPUMS Industry 35. Major product or service of establishment</p> <div class="i1">_ _ _</div> Ethiopia 1984: Resident household members age 10+ who have worked [discrepancies: type I 0.2%; type II 0.2%] 010 Agricultural production 020 Livestock production 030 Agricultural services 040 Hunting 050 Forestry 060 Fishing, production of other products from seas, lakes and oceans 090 Agricultural production, not elsewhere classified 110 Quarrying 120 Exploration and extraction of crude oil and natural gas 130 Exploration and extraction of coal 140 Exploration and extraction of precious metals 150 Mining non-ferrous metals 160 Chemical and fertilizer mineral mining 170 Salt mining 190 Minerals, not elsewhere classified 200 Manufacturing of food 210 Beverage industry and manufacture of tobacco 220 Manufacture of textile and leather products 230 Manufacture of wood and wood products including furniture 240 Manufacture of paper and paper products, printing 250 Manufacture of chemicals and chemical products, rubber and plastic products 260 Manufacture of non-metalic mineral products, except products of petroleum and coal 270 Basic metal industries 280 Manufacture of fabricated metal products, machinery and equipment 290 Other manufacturing industries 310 Electricity, gas and water 320 Water works and supply 390 Electricity, gas and water, not elsewhere classified 400 Construction 500 Export and import trade 600 Retail trade of food and related materials 610 Retail trade of coffee, chat and hop 620 Retail trade of non-food items 630 Retail trade of medical instruments, medicine, and beauty articles 640 Retail trade of watches and jewellery 650 Retail trade of electrical and electronic materials 660 Retail trade of manufactured articles, petroleum and petroleum products, spare-parts, agricultural equipments and other agricultural appliances 670 Retail trade of miscellaneous articles 680 Retail trade of tej, tella and katikala 690 Restaurant, hotels and bars 699 Wholesale trade 700 Transport and related works 720 Communications 810 Bank institutions 820 Insurance 830 Business services 910 Public administration and defense 920 Social services 930 Recreational and cultural services 940 Repair services 950 Personal services 960 Teaching services 970 International bodies service 980 Personal service, not elsewhere classified 985 Industry not specified 990 Industry not stated 998 Unknown 999 NIU (not in universe) This variable indicates the person's industry. IPUMS Status in employment 36. Status</p> <div class="i1">____</div> Ethiopia 1984: Resident household members age 10+ [discrepancies: type I 0.1%; type II 0.2%] 01 Employer 02 Public employee 03 Employee for producers or service cooperative association 04 Employee of private organization 05 Employee of international organization 06 Member of producers service cooperative association 07 Self employed 08 Unpaid employee of family organization 09 Other 98 Unknown 99 NIU (not in universe) This variable indicates the person's employment status. IPUMS Number of male children living at home <span class="em">What is the total number of children ever born to [person]?</span><div class="i1">37. Living at home</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">38. Living elsewhere</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">39. Dead</div><div class="i2">_ _ Males<br />_ _ Females</div> Ethiopia 1984: Resident females age 10+ [discrepancies: type I 1.5%; type II 0.1%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) This variable indicates the number of male children born and living at home. IPUMS Number of female children living at home <span class="em">What is the total number of children ever born to [person]?</span><div class="i1">37. Living at home</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">38. Living elsewhere</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">39. Dead</div><div class="i2">_ _ Males<br />_ _ Females</div> Ethiopia 1984: Resident females age 10+ [discrepancies: type I 1.3%; type II 0.1%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) This variable indicates the number of female children born and living at home. IPUMS Number of male children living elsewhere <span class="em">What is the total number of children ever born to [person]?</span><div class="i1">37. Living at home</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">38. Living elsewhere</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">39. Dead</div><div class="i2">_ _ Males<br />_ _ Females</div> Ethiopia 1984: Resident females age 10+ [discrepancies: type I 1.3%; type II 0.1%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) This variable indicates the number of male children born and living elsewhere. IPUMS Number of female children living elsewhere <span class="em">What is the total number of children ever born to [person]?</span><div class="i1">37. Living at home</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">38. Living elsewhere</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">39. Dead</div><div class="i2">_ _ Males<br />_ _ Females</div> Ethiopia 1984: Resident females age 10+ [discrepancies: type I 1.3%; type II 0.5%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) This variable indicates the number of female children born and living elsewhere. IPUMS Number of male children dead <span class="em">What is the total number of children ever born to [person]?</span><div class="i1">37. Living at home</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">38. Living elsewhere</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">39. Dead</div><div class="i2">_ _ Males<br />_ _ Females</div> Ethiopia 1984: Resident females age 10+ [discrepancies: type I 1.3%; type II 0.1%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) This variable indicates the number of male children born who are now dead. IPUMS Number of female children dead <span class="em">What is the total number of children ever born to [person]?</span><div class="i1">37. Living at home</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">38. Living elsewhere</div><div class="i2">_ _ Males<br />_ _ Females</div><div class="i1">39. Dead</div><div class="i2">_ _ Males<br />_ _ Females</div> Ethiopia 1984: Resident females age 10+ [discrepancies: type I 1.3%; type II 0.1%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) This variable indicates the number of female children born who are now dead. IPUMS Number of live births in the last 12 months 40. What is the number of live births born by [person] in the last 12 months?</p> <div class="i1">_ _ Total<br />_ _ Still living</div> Ethiopia 1984: Resident females age 10+ [discrepancies: type I 1.3%; type II 0.1%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) This variable indicates the number of live births in the last 12 months. IPUMS Number of children born alive in last 12 months that are still alive 40. What is the number of live births born by [person] in the last 12 months?</p> <div class="i1">_ _ Total<br />_ _ Still living</div> Ethiopia 1984: Resident females age 10+ [discrepancies: type I 1.3%; type II 0.1%] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) This variable indicates the number of children born alive in last 12 months that are still alive. IPUMS