DDI_ZAF_2016_PHC_v01_M_v7.5_A_IPUMS Community Survey 2016 IPUMS May 21, 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. Community Survey 2016 - IPUMS Subset PHC South Africa 2016 (IPUMS Harmonized Subset) ZAF_2016_PHC_v01_M_v7.5_A_IPUMS Statistics South Africa IPUMS (c) Copyright 2016, Statistics South Africa and Minnesota Population Center MetadataEditor Statistics South Africa 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 Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Utilities Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Migration: O-Z Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Utilities Variables -- HOUSEHOLD Demographic Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Work Variables -- PERSON Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Disability Variables -- PERSON Nativity and Birthplace Variables -- PERSON Technical Person Variables -- PERSON Constructed Household Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Disability Variables -- PERSON Disability Variables -- PERSON Fertility and Mortality Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Migration: Global Variables -- PERSON South Africa Municipality Persons and households UNITS IDENTIFIED: - Dwellings: no - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: no UNIT DESCRIPTIONS: - Dwellings: A structure or part of a structure or group of strucutres occupied or meant to be occupied by one or more households - Households: A household is a group of persons who live together and provide themselves jointly with food or other essentials for living, or a single person who lives alone. - Group quarters: Not enumerated Population residing in private dwellings. Sample survey data [ssd] Additional notes on a sample that is part of this study: South Africa 2016 MICRODATA SOURCE: Statistics South Africa SAMPLE SIZE (person records): 3328793. SAMPLE DESIGN: Systematic stratified sample drawn by Statistics South Africa based on the 2011 census. Face-to-face [f2f] A single &quot;Household Questionnaire&quot; for information on dwelling, household, and individuals. All data to be collected on a tablet computer. de facto, CENSUS DAY: March 7, 2016 Computed by census agency and 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. Statistics South Africa 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: South Africa, Statistics South Africa. Community Survey 2016 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. ZAF2016_PHC-H-H Household records 984 182 ZAF2016_PHC-P-H Person records 3328793 174 Record type H Household P Person RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. IPUMS Country 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Ivory Coast 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). IPUMS Year 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. IPUMS IPUMS sample identifier 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Ivory Coast 1988 384199801 Ivory Coast 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). IPUMS Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. IPUMS Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. IPUMS Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Subsample number 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. IPUMS Group quarters (collective dwelling) status 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. IPUMS Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. IPUMS Urban-rural status 1 Rural 2 Urban 9 Unknown URBAN indicates whether the household was located in a place designated as urban or as rural. IPUMS Continent and region of country 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia REGIONW identifies the continent and region of each country. IPUMS 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. IPUMS 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. IPUMS Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer. IPUMS Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit string variable listing the population density in persons per square kilometer. IPUMS Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit string variable listing the area in square kilometers. IPUMS Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit string variable listing the area in square kilometers. IPUMS South Africa, Province 2001 - 2016 [Level 1; consistent boundaries, GIS] 710001 Western Cape 710004 Free State 710005 Eastern Cape, KwaZulu-Natal 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape 710999 Unknown GEO1_ZA identifies the household's province (provinsie) within South Africa from 2001 to present. Provinces are the first level administrative units of the country. GEO1_ZA is spatially harmonized accounting for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_ZA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for South Africa 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 South Africa, Province 2016 [Level 1, GIS] 001 Western Cape 002 Eastern Cape 003 Northern Cape 004 Free State 005 KwaZulu-Natal 006 North West 007 Gauteng 008 Mpumalanga 009 Limpopo GEO1_ZA2016 identifies the household's province (provinsie) within South Africa in 2016. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ZA2016 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for South Africa 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 South Africa, District council 2001 - 2016 [Level 2; consistent boundaries, GIS] 710001001 West Coast 710001002 Cape Winelands, Overberg 710001003 Eden 710001004 Central Karoo 710001005 City of Cape Town 710004001 Thabo Mofutsanyane, Mangaung, Lejweleputswa, Fezile Dabi, Xhariep 710005001 Cacadu 710005002 Nelson Mandela Bay 710005003 Uthukela, Amajuba 710005004 Umkhanyakude 710005005 Uthungulu 710005006 iLembe 710005007 eThekwini, O.R.Tambo, Umgungundlovu, Amathole, Zululand, Alfred Nzo, Chris Hani, Buffalo City, Ugu, Umzinyathi, Sisonke, Joe Gqabi 710007001 Namakwa 710007002 Sedibeng, Ngaka Modiri Molema, West Rand, Dr Kenneth Kaunda, Dr Ruth Segomotsi Mompati, Frances Baard, Siyanda, John Taolo Gaetsewe, Pixley ka Seme 710007003 Ekurhuleni, City of Tshwane, Ehlanzeni, Bojanala, Nkangala, Vhembe, Capricorn, Greater Sekhukhune, Mopani, Waterberg 710007004 City of Johannesburg 710007005 Gert Sibande 710098098 Unknown GEO2_ ZA identifies the household's district council (also known as district municipality) within South Africa from 2001 to present. District councils are the second level administrative units of the country, after province. GEO2_ZA is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_ZA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for South Africa can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS South Africa, District council 2016 [Level 2, GIS] 001001 West Coast 001002 Cape Winelands 001003 Overberg 001004 Eden 001005 Central Karoo 001099 City of Cape Town 002010 Cacadu 002012 Amathole 002013 Chris Hani 002014 Joe Gqabi 002015 O.R.Tambo 002044 Alfred Nzo 002060 Buffalo City 002099 Nelson Mandela Bay 003006 Namakwa 003007 Pixley ka Seme 003008 Siyanda 003009 Frances Baard 003045 John Taolo Gaetsewe 004016 Xhariep 004018 Lejweleputswa 004019 Thabo Mofutsanyane 004020 Fezile Dabi 004099 Mangaung 005021 Ugu 005022 Umgungundlovu 005023 Uthukela 005027 Umkhanyakude 005028 Uthungulu 005043 Sisonke 005054 Umzinyathi 005055 Amajuba 005056 Zululand 005059 iLembe 005099 eThekwini 006037 Bojanala 006038 Ngaka Modiri Molema 006039 Dr Ruth Segomotsi Mompati 006040 Dr Kenneth Kaunda 007042 Sedibeng 007048 West Rand 007097 Ekurhuleni 007098 City of Johannesburg 007099 City of Tshwane 008030 Gert Sibande 008031 Nkangala 008032 Ehlanzeni 009033 Mopani 009034 Vhembe 009035 Capricorn 009036 Waterberg 009047 Greater Sekhukhune GEO2_ZA2016 identifies the household’s district council (also known as district or metropolitan municipality) within South Africa in 2016. District councils are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_ZA2016 can be downloaded from the GIS Boundary files page in the IPUMS International web site The full set of geography variables for South Africa can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS South Africa, Local municipality 2016 [Level 3, GIS] 001001012 Matzikama 001001013 Cederberg 001001014 Bergrivier 001001015 Saldanha Bay 001001016 Swartland 001002017 Witzenberg 001002018 Drakenstein 001002019 Stellenbosch 001002020 Breede Valley 001002021 Langeberg 001003022 Theewaterskloof 001003023 Overstrand 001003024 Cape Agulhas 001003025 Swellendam 001004026 Kannaland 001004027 Hessequa 001004028 Mossel Bay 001004029 George 001004030 Oudtshoorn 001004031 Bitou 001004032 Knysna 001005034 Prince Albert, Laingsburg 001005035 Beaufort West 001099011 City of Cape Town 002010012 Dr Beyers Naude 002010013 Blue Crane Route 002010015 Makana 002010016 Ndlambe 002010017 Sundays River Valley 002010019 Kouga 002010020 Kou-Kamma 002012021 Mbhashe 002012022 Mnquma 002012023 Great Kei 002012024 Amahlathi 002012025 Ngqushwa 002012045 Raymond Mhlaba 002013026 Inxuba Yethemba 002013027 Intsika Yethu 002013028 Engcobo 002013029 Sakhisizwe 002013043 Enoch Mgijima 002013044 Emalahleni 002014030 Elundini 002014031 Senqu 002014042 Walter Sisulu 002015032 Ngquza Hill 002015033 Port St Johns 002015034 Nyandeni 002015035 Mhlontlo 002015036 King Sabata Dalindyebo 002044037 Matatiele 002044038 Umzimvubu 002044039 Mbizana 002044040 Ntabankulu 002060011 Buffalo City 002099041 Nelson Mandela Bay 003006012 Nama Khoi, Richtersveld 003006014 Hantam, Karoo Hoogland 003006016 Khâi-Ma, Kamiesberg 003007017 Ubuntu, Kareeberg 003007018 Umsobomvu 003007019 Emthanjeni 003007022 Thembelihle, Renosterberg 003007023 Siyathemba 003007024 Siyancuma 003008025 Kai Garib, Kheis 003008027 Tsantsabane 003008028 Kgatelopele 003008036 Dawid Kruiper 003009029 Sol Plaatjie 003009030 Dikgatlong 003009031 Magareng 003009032 Phokwane 003045033 Joe Morolong 003045034 Ga-Segonyana 003045035 Gamagara 004016011 Letsemeng 004016012 Kopanong 004016013 Mohokare 004018014 Masilonyana 004018015 Tokologo 004018016 Tswelopele 004018017 Matjhabeng 004018018 Nala 004019019 Setsoto 004019020 Dihlabeng 004019021 Nketoana 004019022 Maluti a Phofung 004019023 Phumelela 004019024 Mantsopa 004020025 Metsimaholo 004020026 Mafube 004020028 Moqhaka 004020029 Ngwathe 004099027 Mangaung 005021011 Umdoni 005021012 Umzumbe 005021013 uMuziwabantu 005021014 Ray Nkonyeni 005022015 uMshwathi 005022016 uMngeni 005022017 Impendle 005022018 The Msunduzi 005022019 Mkhambathini 005022020 Richmond 005022053 Mpofana 005023021 Okhahlamba 005023022 Inkosi Langalibalele 005023023 Alfred Duma 005027035 Umhlabuyalingana 005027036 Jozini 005027037 Mtubatuba 005027038 Big Five Hlabisa 005028039 Mfolozi 005028040 uMhlathuze 005028041 uMlalazi 005028042 Mthonjaneni 005028043 Nkandla 005043048 Greater Kokstad 005043049 Ubuhlebezwe 005043050 Umzimkhulu 005043051 Dr Nkosazana Dlamini Zuma 005054024 Endumeni 005054025 Nqutu 005054026 Msinga 005054052 Umvoti 005055027 Newcastle 005055028 Emadlangeni 005055029 Dannhauser 005056030 eDumbe 005056031 uPhongolo 005056032 Abaqulusi 005056033 Nongoma 005056034 Ulundi 005059044 Mandeni 005059045 KwaDukuza 005059046 Ndwedwe 005059047 Maphumulo 005099054 eThekwini 006037011 Moretele 006037012 Local Municipality of Madibeng 006037013 Rustenburg 006037014 Kgetlengrivier 006037015 Moses Kotane 006038016 Ratlou 006038017 Mafikeng 006038018 Ditsobotla 006038019 Ramotshere Moiloa 006038028 Tswaing 006039020 Naledi 006039021 Mamusa 006039022 Greater Taung 006039023 Lekwa-Teemane 006039024 Kagisano/Molopo 006040025 City of Matlosana 006040026 Maquassi Hills 006040027 Ventersdorp/Tlokwe 007042016 Midvaal 007042018 Emfuleni 007042019 Lesedi 007048012 Mogale City 007048013 Merafong City 007048014 Rand West City 007097011 Ekurhuleni 007098015 City of Johannesburg 007099017 City of Tshwane 008030011 Chief Albert Luthuli 008030012 Msukaligwa 008030013 Mkhondo 008030014 Dr Pixley Ka Isaka Seme 008030015 Lekwa 008030016 Dipaleseng 008030017 Govan Mbeki 008031018 Victor Khanye 008031019 Emalahleni 008031020 Steve Tshwete 008031021 Emakhazeni 008031022 Thembisile 008031023 Dr JS Moroka 008032024 Thaba Chweu 008032025 Bushbuckridge 008032026 Nkomazi 008032027 City of Mbombela 009033011 Greater Giyani 009033012 Greater Letaba 009033013 Greater Tzaneen 009033014 Ba-Phalaborwa 009033015 Maruleng 009034028 Musina 009034029 Thulamela 009034030 Makhado 009034031 Collins Chabane 009035016 Lepele-Nkumpi 009035024 Blouberg 009035025 Molemole 009035026 Polokwane 009036017 Thabazimbi 009036018 Lephalale 009036019 Bela-Bela 009036020 Mogalakwena 009036032 Modimolle/Mookgophong 009047021 Ephraim Mogale 009047022 Elias Motsoaledi 009047023 Makhuduthamaga 009047027 Greater Tubatse/Fetakgomo GEO3_ZA2016 identifies the household's local municipality within South Africa in 2016. Local municipalities are the third level administrative units of the country, after province and district council (or district/metropolitan municipalities). A GIS map (in shapefile format), corresponding to GEO3_ZA2016 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for South Africa can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. IPUMS DHS-IPUMS-I South Africa regions, 1998-2016 [consistent boundaries, GIS] 1 Western Cape 4 Free State 5 Eastern Cape, Kwazulu-Natal 7 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape 9 Unknown DHS_IPUMSI_ZA provides geographic codes for South Africa that match those in the DHS and IPUMS-International databases. This variable can be used to link contextual area data from IPUMS-DHS to IPUMS-International or vice versa. The codes in DHS_IPUMSI_ZA indicate the major administrative unit in which the household was enumerated or surveyed. GIS shapefiles for South Africa can be downloaded here. IPUMS Ownership of dwelling [general version] NIU (not in universe) 1 Owned 2 Not owned 9 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. IPUMS Ownership of dwelling [detailed version] 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. IPUMS Electricity NIU (not in universe) 1 Yes 2 No 9 Unknown ELECTRIC indicates whether the household had access to electricity. IPUMS Water supply 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. IPUMS Sewage 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown SEWAGE indicates whether the household has access to a sewage system or septic tank. IPUMS Cooking fuel 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing FUELCOOK indicates the predominant type of fuel or energy used for cooking. IPUMS Fuel for heating 00 NIU (not in universe) 01 None 02 Electricity 03 Fuel oil, kerosene, other liquid fuels 04 Kerosene/paraffin 05 Diesel 06 Gas 07 Bottled gas, in tank, liquified 08 Solid fuel 09 Coal 10 Wood 11 Wood or coal 12 Solar 13 Animal dung 14 Charcoal 15 Biofuel 16 Other 17 Multiple sources 99 Unknown FUELHEAT indicates the main fuel source for heating the household. IPUMS Telephone availability NIU (not in universe) 1 No 2 Yes 9 Unknown/missing PHONE indicates the availability of a telephone in the dwelling. IPUMS Cellular phone availability NIU (not in universe) 1 Yes 2 No 9 Unknown CELL indicates the availability of a cellular phone in the household. IPUMS Internet access NIU (not in universe) 1 No 2 Yes 9 Unknown INTERNET indicates whether or not the household had an internet connection. IPUMS Trash disposal 00 NIU (not in universe) 10 Collected by a sanitation service 11 Collected directly from the household or dwelling 12 Collected indirectly from a garbage container or deposit 13 Collected by a sanitation service only 14 Collected by a sanitation service and disposed of in some other manner 20 Disposed of in some other manner 21 Burned or buried 22 Burned 23 Buried 24 Thrown into street, vacant land, or common area 25 Thrown into river, lake, ocean, lagoon, etc. 26 Thrown into canyon or gulley 27 Dumped in pit 28 Communal refuse dump 29 Own refuse dump 30 Authorized refuse dump 31 Illegal refuse dump 32 Other dumping 33 Outside 34 In the fields 35 Fed to animals 36 Composted 37 Heap 38 Garden 39 Other, none 99 Unknown/missing This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner. IPUMS Automobiles available No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. IPUMS Hot water heater NIU (not in universe) 1 No 2 Yes 9 Unknown/missing HOTWATER indicates whether the housing unit had a water heater. IPUMS Air conditioning 00 NIU (not in universe) 10 No air conditioning 20 Yes, air conditioning 21 1 unit or room 22 2 units or rooms 23 3 units or rooms 24 4 units or rooms 25 5 units or rooms 26 6 units or rooms 27 7 units or rooms 28 8 or more units or rooms 29 Central system 99 Unknown This variable indicates whether the household had air conditioning. IPUMS Computer NIU (not in universe) 1 No 2 Yes 9 Unknown/missing COMPUTER indicates whether the household had a personal computer. IPUMS Clothes washing machine NIU (not in universe) 1 No 2 Yes 3 Automatic or semi-automatic 4 Wringer or other non-automatic 9 Unknown/missing WASHER indicates whether the household had a clothes washing machine. IPUMS Refrigerator NIU (not in universe) 1 No 2 Yes 9 Unknown/missing REFRIG indicates whether the household had a refrigerator. 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 Videocassette recorder NIU (not in universe) 1 No 2 Yes 9 Unknown/missing VCR indicates whether the household had a videocassette recorder or similar device. IPUMS Radio in household NIU (not in universe) 1 No 2 Yes 9 Unknown/missing RADIO indicates whether the household had a radio. 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 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 South Africa 2016: All records This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household South Africa 2016: 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 28 28 29 29 30 30 33 33 38 38 40 40 This variable indicates the number of persons in household. IPUMS Sex of household head <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.2] Is the respondent male or female?</p> <div class="i1">[] 1 Male<br />[] 2 Female</div><p>[3.7.1.5] What is the respondent's relationship to the head or acting head of the household?</p> <div class="i1">[] 1 Head/acting head<br />[] 2 Husband/wife/partner<br />[] 3 Son/daughter<br />[] 4 Adopted son/daughter<br />[] 5 Stepchild<br />[] 6 Brother/sister<br />[] 7 Parent [father/mother]<br />[] 8 Parent-in-law<br />[] 9 Grandchild/great grandchild<br />[] 10 Son-in-law/daughter-in-law<br />[] 11 Brother-in-law/sister-in-law<br />[] 12 Grandmother/grandfather<br />[] 13 Other relative [e.g. aunt/uncle]<br />[] 14 Non-related person</div> South Africa 2016: All households 1 Male 2 Female This variable indicates the sex of household head. IPUMS Age of household head <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.4] What is the respondent's age in completed years? ____</p> <p>[3.7.1.5] What is the respondent's relationship to the head or acting head of the household?</p> <div class="i1">[] 1 Head/acting head<br />[] 2 Husband/wife/partner<br />[] 3 Son/daughter<br />[] 4 Adopted son/daughter<br />[] 5 Stepchild<br />[] 6 Brother/sister<br />[] 7 Parent [father/mother]<br />[] 8 Parent-in-law<br />[] 9 Grandchild/great grandchild<br />[] 10 Son-in-law/daughter-in-law<br />[] 11 Brother-in-law/sister-in-law<br />[] 12 Grandmother/grandfather<br />[] 13 Other relative [e.g. aunt/uncle]<br />[] 14 Non-related person</div> South Africa 2016: All households 010 10 years old or younger 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107+ This variable indicates the age of household head. IPUMS Population ethnic group of household head <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.5] What is the respondent's relationship to the head or acting head of the household?</p> <div class="i1">[] 1 Head/acting head<br />[] 2 Husband/wife/partner<br />[] 3 Son/daughter<br />[] 4 Adopted son/daughter<br />[] 5 Stepchild<br />[] 6 Brother/sister<br />[] 7 Parent [father/mother]<br />[] 8 Parent-in-law<br />[] 9 Grandchild/great grandchild<br />[] 10 Son-in-law/daughter-in-law<br />[] 11 Brother-in-law/sister-in-law<br />[] 12 Grandmother/grandfather<br />[] 13 Other relative [e.g. aunt/uncle]<br />[] 14 Non-related person</div><p>[3.7.1.7] What population group does the respondent belong to?</p> <div class="i1">[] 1 Black African<br />[] 2 Coloured<br />[] 3 Indian/Asian<br />[] 4 White<br />[] 5 Other<br />[] 6 Refused</div><p>[3.7.1.8] Please specify "Other" population group ____ South Africa 2016: All households 1 Black African 2 Coloured 3 Indian or Asian 4 White 5 Other This variable indicates the population group of household head. IPUMS Difficulties facing in the municipality <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em"> Problem/difficulty in the municipality </span></p> <p>[4.4] What do you consider to be the main problem/difficulty facing this municipality presently?</p> <div class="i1">[] 1 Lack of safe and reliable water supply<br />[] 2 Cost of water<br />[] 3 Lack of reliable electricity supply<br />[] 4 Cost of electricity<br />[] 5 Inadequate sanitation/sewerage/toilet services<br />[] 6 Inadequate refuse/waste removal<br />[] 7 Inadequate housing<br />[] 8 Inadequate roads<br />[] 9 Inadequate street lights<br />[] 10 Lack of/inadequate employment opportunities<br />[] 11 Lack of/inadequate educational facilities<br />[] 12 Violence and crime<br />[] 13 Drug abuse<br />[] 14 Alcohol abuse<br />[] 15 Gangsterism<br />[] 16 Lack of/inadequate perks and recreational area<br />[] 17 Lack of/inadequate healthcare services<br />[] 18 Lack of/inadequate public transport<br />[] 19 Corruption<br />[] 20 Other</div> South Africa 2016: All households 01 Lack of safe and reliable water supply 02 Cost of water 03 Lack of reliable electricity supply 04 Cost of electricity 05 Inadequate sanitation, sewerage or toilet services 06 Inadequate refuse or waste removal 07 Inadequate housing 08 Inadequate roads 09 Inadequate street lights 10 Lack of or inadequate employment opportunities 11 Lack of or inadequate educational facilities 12 Violence and crime 13 Drug abuse 14 Alcohol abuse 15 Gangsterism 16 Lack of or inadequate parks and recreational area 17 Lack of or inadequate healthcare services 18 Lack of or inadequate public transport 19 Corruption 20 Other 21 None 99 Unknown This variable indicates the difficulties the municipality of residence is facing presently. IPUMS Significant effort to solve the municipality's problem <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em"> Problem/difficulty in the municipality </span></p> <p>[4.5] Given the problem/difficulty you have mentioned above, to what extent do you agree that the municipality is trying to solve the problem/difficulty?</p> <div class="i1">[] 1 Strongly disagree<br />[] 2 Disagree<br />[] 3 Neither agree nor disagree<br />[] 4 Agree<br />[] 5 Strongly agree</div> South Africa 2016: Households facing difficulties with their municipality [discrepancies: none] 1 Strongly disagree 2 Disagree 3 Neither agree or disagree 4 Agree 5 Strongly agree 8 Unknown 9 NIU (not in universe) This variable indicates the extent to which the municipality of residence is trying to resolve the difficulties is facing presently. IPUMS Overall quality of the water services <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Satisfaction with basic services </span></p> <p>[4.7] How would you rate the overall quality of the water services that this household has access to or utilizes?</p> <div class="i1">[] 1 Good<br />[] 2 Average<br />[] 3 Poor<br />[] 4 No access<br />[] 5 Do not use</div> South Africa 2016: All households 1 Good 2 Average 3 Poor 4 No access 5 Do not use 9 Unknown This variable indicates the rating of the overall quality of the water services. IPUMS Overall quality of refuse removal services <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Satisfaction with basic services </span></p> <p>[4.8] How would you rate the overall quality of the refuse removal services that this household has access to or utilizes?</p> <div class="i1">[] 1 Good<br />[] 2 Average<br />[] 3 Poor<br />[] 4 No access<br />[] 5 Do not use</div> South Africa 2016: All households 1 Good 2 Average 3 Poor 4 No access 5 Do not use 9 Unknown This variable indicates the rating of the overall quality of refuse removal services. IPUMS Overall quality of the electricity supply services <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Satisfaction with basic services </span></p> <p>[4.9] How would you rate the overall quality of the electricity supply services [incl. maintenance, meter reading, billing, complaint handling, connection, installation] that this household has access to or utilizes?</p> <div class="i1">[] 1 Good<br />[] 2 Average<br />[] 3 Poor<br />[] 4 No access<br />[] 5 Do not use</div> South Africa 2016: All households 1 Good 2 Average 3 Poor 4 No access 5 Do not use 9 Unknown This variable indicates the rating of the overall quality of the electricity supply services. IPUMS Overall quality of toilet or sanitation services <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Satisfaction with basic services </span></p> <p>[4.10] How would you rate the overall quality of the toilet/sanitation services that this household has access to or utilizes?</p> <div class="i1">[] 1 Good<br />[] 2 Average<br />[] 3 Poor<br />[] 4 No access<br />[] 5 Do not use</div> South Africa 2016: All households 1 Good 2 Average 3 Poor 4 No access 5 Do not use 9 Unknown This variable indicates the rating of the overall quality of toilet or sanitation services. IPUMS Overall quality of the local public hospital <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Satisfaction with basic services </span></p> <p>[4.11] How would you rate the overall quality of the local public hospital that this household has access to or utilizes?</p> <div class="i1">[] 1 Good<br />[] 2 Average<br />[] 3 Poor<br />[] 4 No access<br />[] 5 Do not use</div> South Africa 2016: All households 1 Good 2 Average 3 Poor 4 No access 5 Do not use 9 Unknown This variable indicates the rating of the overall quality of the local public hospital. IPUMS Overall quality of the local public clinic <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Satisfaction with basic services </span></p> <p>[4.12] How would you rate the overall quality of the local public clinic that this household has access to or utilizes?</p> <div class="i1">[] 1 Good<br />[] 2 Average<br />[] 3 Poor<br />[] 4 No access<br />[] 5 Do not use</div> South Africa 2016: All households 1 Good 2 Average 3 Poor 4 No access 5 Do not use 9 Unknown This variable indicates the rating of the overall quality of the local public clinic. IPUMS Overall quality of the local police services <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Satisfaction with basic services </span></p> <p>[4.13] How would you rate the overall quality of the local police services that this household has access to?</p> <div class="i1">[] 1 Good<br />[] 2 Average<br />[] 3 Poor<br />[] 4 No access<br />[] 5 Do not use</div> South Africa 2016: All households 1 Good 2 Average 3 Poor 4 No access 5 Do not use 9 Unknown This variable indicates the rating of the overall quality of the local police services. IPUMS Overall quality of the local public school <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Satisfaction with basic services </span></p> <p>[4.14] How would you rate the overall quality of the local public school that this household has access to or utilizes?</p> <div class="i1">[] 1 Good<br />[] 2 Average<br />[] 3 Poor<br />[] 4 No access<br />[] 5 Do not use</div> South Africa 2016: All households 1 Good 2 Average 3 Poor 4 No access 5 Do not use 9 Unknown This variable indicates the rating of the overall quality of the local public school. IPUMS Importance of education to improve the standard of living of the household <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Improving the standard of living of the household</span></p> <p>[4.16] In your opinion, how important is education for maintaining or improving the standard of living for this household?</p> <div class="i1">[] 1 Very important<br />[] 2 Important<br />[] 3 Not important at all</div> South Africa 2016: All households 1 Very important 2 Important 3 Not important at all 9 Unknown This variable indicates the importance of education to improve the standard of living of the household. IPUMS Importance of health to improve the standard of living for the household <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Improving the standard of living of the household</span></p> <p>[4.17] In your opinion, how important is health for maintaining or improving the standard of living for this household?</p> <div class="i1">[] 1 Very important<br />[] 2 Important<br />[] 3 Not important at all</div> South Africa 2016: All households 1 Very important 2 Important 3 Not important at all 9 Unknown This variable indicates the importance of health to improve the standard of living for the household. IPUMS Importance of living conditions to improve the standard of living for the household <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Improving the standard of living of the household</span></p> <p>[4.17] In your opinion, how important is health for maintaining or improving the standard of living for this household?</p> <div class="i1">[] 1 Very important<br />[] 2 Important<br />[] 3 Not important at all</div> South Africa 2016: All households 1 Very important 2 Important 3 Not important at all 9 Unknown This variable indicates the importance of living conditions to improve the standard of living for the household. IPUMS Importance of household assets ownership to improve the standard of living for the household <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Improving the standard of living of the household</span></p> <p>[4.19] In your opinion, how important is the ownership of household assets for maintaining or improving the standard of living for this household?</p> <div class="i1">[] 1 Very important<br />[] 2 Important<br />[] 3 Not important at all</div> South Africa 2016: All households 1 Very important 2 Important 3 Not important at all 9 Unknown This variable indicates the importance of ownership of household assets to improve the standard of living for the household. IPUMS Importance of employment to improve the standard of living for the household <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Improving the standard of living of the household</span></p> <p>[4.20] In your opinion, how important is employment for maintaining or improving the standard of living for this household?</p> <div class="i1">[] 1 Very important<br />[] 2 Important<br />[] 3 Not important at all</div> South Africa 2016: All households 1 Very important 2 Important 3 Not important at all 9 Unknown This variable indicates the importance of employment to improve the standard of living for the household. IPUMS Importance of safety and security to improve the standard of living for the household <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Improving the standard of living of the household</span></p> <p>[4.21] In your opinion, how important is safety and security for maintaining or improving the standard of living for this household?</p> <div class="i1">[] 1 Very important<br />[] 2 Important<br />[] 3 Not important at all</div> South Africa 2016: All households 1 Very important 2 Important 3 Not important at all 9 Unknown This variable indicates the importance of safety and security to improve the standard of living for the household. IPUMS Main source of water for drinking <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Water</span></p> <p>[4.32] What is the household's main source of water for drinking?</p> <div class="i1">[] 1 Piped [tap] water inside the dwelling/house<br />[] 2 Piped [tap] water inside yard<br />[] 3 Piped water on community stand<br />[] 4 Borehole in the yard<br />[] 5 Rain-water tank in yard<br />[] 6 Neighbor's tap<br />[] 7 Public/communal tap<br />[] 8 Water-carrier/tanker<br />[] 9 Borehole outside the yard<br />[] 10 Flowing water/stream/river<br />[] 11 Well<br />[] 12 Spring<br />[] 13 Other</div> South Africa 2016: All households 01 Piped (tap) water inside the dwelling or house 02 Piped (tap) water inside yard 03 Piped water on community stand 04 Borehole in the yard 05 Rain-water tank in yard 06 Neighbour's tap 07 Public or communal tap 08 Water-carrier or tanker 09 Borehole outside the yard 10 Flowing water, stream or river 11 Well 12 Spring 13 Other This variable indicates the main source of water for drinking. IPUMS Distance to main source of drinking water <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Water</span></p> <p>[4.33] How far is the main source of water for drinking from the dwelling or yard?</p> <div class="i1">[] 1 Less than 200 meters<br />[] 2 201-500 meters<br />[] 3 501 metres-1 kilometer<br />[] 4 More than 1 kilometer<br />[] 5 Do not know</div> South Africa 2016: Households without water access from inside their yard [discrepancies: none] 1 Less than 200 metres 2 201 to 500 metres 3 501 metres to 1 kilometre 4 More than 1 kilometre 5 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates the distance to get to the main source of water for drinking. IPUMS Access to safe drinking water supply service <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Water</span></p> <p>[4.34] Does this household have access to a safe drinking water supply service?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All households 1 Yes 2 No 3 Do not know 9 Unknown This variable indicates whether the household has access to safe drinking water supply service. IPUMS Supplier of the main source of drinking water <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Water</span></p> <p>[4.35] Is the household's main source of drinking water supplied by...?</p> <div class="i1">[] 1 A municipality<br />[] 2 Other water scheme [e.g. community water supply]<br />[] 3 A water vendor<br />[] 4 Own service [e.g. private borehole, own source on a farm, etc.]<br />[] 5 Flowing water/stream/river/spring/rain water<br />[] 6 Do not know</div> South Africa 2016: All households 1 A municipality 2 Other water scheme (e.g. community water supply) 3 A water vendor 4 Own service (e.g. private borehole; own source on a farm) 5 Flowing water, stream, river, spring or rain water 6 Do not know 9 Unknown This variable indicates the supplier of the main source of drinking water. IPUMS Municipal water interruption in the past 3 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Water</span></p> <p>[4.36] In the past 3 months, has this household's municipal water supply been interrupted, even though the household paid their bill or bought sufficient pre-paid units?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Households with water supplied by a municipality [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates if there was municipal water interruption in the past 3 months. IPUMS Duration of water interruption (over a three month period) <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Water</span></p> <p>[4.37] How long did this/these interruption(s) in municipal water supply last?</p> <div class="i1">[] 1 Less than 2 days in total over a three month period<br />[] 2 2 to 7 days in total over a three month period<br />[] 3 8 to 14 days in total over a three month period<br />[] 4 More than a 14 days in total over a three month period<br />[] 5 Do not know</div> South Africa 2016: Households with water supplied by a municipality that experienced service interruptions in the past 3 months [discrepancies: type I none; type II trace] 1 Less than 2 days in three months 2 2 to 7 days in three months 3 8 to 14 days in three months 4 More than a 14 days in three months 8 Unknown 9 NIU (not in universe) This variable indicates the duration of water interruption. IPUMS Water interruption longer than 2 days <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Water</span></p> <p>[4.38] Thinking about this/these interruption(s) in the municipal water supply, was any specific interruption longer than two consecutive days?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Households with water supplied by a municipality that experienced service interruptions in the past 3 months [discrepancies: type I none; type II trace] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if water interruption longer than 2 days. IPUMS Alternative water source during interruptions <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Water</span></p> <p>[4.39] What alternative water source did the household use during water supply interruption?</p> <div class="i1">[] 1 Borehole<br />[] 2 Spring<br />[] 3 Well<br />[] 4 Rain water tank<br />[] 5 Dam/pool/stagnant water<br />[] 6 River/stream<br />[] 7 Water vendor<br />[] 8 Water tanker<br />[] 9 Other<br />[] 10 None<br />[] 11 Do not know</div> South Africa 2016: Households with water supplied by a municipality that experienced service interruptions in the past 3 months [discrepancies: none] 01 Borehole 02 Spring 03 Well 04 Rain water tank 05 Dam, pool or stagnant water 06 River or stream 07 Water vendor 08 Water tanker 09 Other 10 None 98 Unknown 99 NIU (not in universe) This variable indicates the alternative water source during interruptions. IPUMS Main type of toilet used <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Sanitation</span></p> <p>[4.41] What is the main type of toilet facility used by this household?</p> <div class="i1">[] 1 Flush toilet connected to a public sewerage system<br />[] 2 Flush toilet connected to a septic tank or conservancy tank<br />[] 3 Chemical toilet<br />[] 4 Pit latrine/toilet with ventilation pipe<br />[] 5 Pit latrine/toilet without ventilation pipe<br />[] 6 Ecological toilet [e.g. urine diversion, enviroloo, etc.]<br />[] 7 Bucket toilet [collected by municipality]<br />[] 8 Bucket toilet [emptied by household]<br />[] 9 Other<br />[] 10 None</div> South Africa 2016: All households 01 Flush toilet connected to a public sewerage system 02 Flush toilet connected to a septic tank or conservancy tank 03 Chemical toilet 04 Pit latrine or toilet with ventilation pipe 05 Pit latrine or toilet without ventilation pipe 06 Ecological toilet (e.g. urine diversion, enviroloo, etc.) 07 Bucket toilet (collected by municipality) 08 Bucket toilet (emptied by household) 09 Other 10 None This variable indicates the main type of toilet facility used. IPUMS Location of toilet facility <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Sanitation</span></p> <p>[4.42] Is the main toilet facility which the household has access to in the dwelling, in the yard, or outside the yard?</p> <div class="i1">[] 1 In the dwelling house<br />[] 2 In the yard<br />[] 3 Outside the yard</div> South Africa 2016: Households with access to a toilet [discrepancies: type I trace; type II 0.1%] 1 In the dwelling or house 2 In the yard 3 Outside the yard 8 Unknown 9 NIU (not in universe) This variable indicates whether the main toilet facility is in the dwelling, yard or outside the yard. IPUMS Toilet facility shared with other households <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Sanitation</span></p> <p>[4.43] Is the main toilet facility shared with other households?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Households with access to a toilet [discrepancies: type I trace; type II trace] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the toilet facility is shared with other households. IPUMS Responsible for maintaining toilet facility <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Sanitation</span></p> <p>[4.44] Who maintains the sanitation facility used by this household?</p> <div class="i1">[] 1 The household or households [in the case of multiple households in one dwelling]<br />[] 2 The community<br />[] 3 The municipality<br />[] 4 Do not know</div> South Africa 2016: Households with access to a toilet [discrepancies: type I trace; type II trace] 1 The household or households (in the case of multiple househoulds) 2 The community 3 The municipality 4 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates the responsible for maintaining toilet facility. IPUMS Access to electricity <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Electricity </span></p> <p>[4.46] How does this household presently access electricity?</p> <div class="i1">[] 1 In-house conventional meter<br />[] 2 In-house prepaid meter<br />[] 3 Connected to other source which household pays for [e.g. connected to neighbor's line and paying neighbor, paying landlord]<br />[] 4 Connected to other source which household is not paying for [e.g. connected to neighbor's line and not paying neighbor]<br />[] 5 Generator<br />[] 6 Solar home system<br />[] 7 Battery<br />[] 8 Other<br />[] 9 No access to electricity</div> South Africa 2016: All households 1 In-house conventional meter 2 In-house prepaid meter 3 Connected to other source which household pays for 4 Connected to other source which household is not paying for 5 Generator 6 Solar home system 7 Battery 8 Other 9 No access to electricity This variable indicates the type of access to electricity. IPUMS Electricity supplier <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Electricity </span></p> <p>[4.47] Is this household's electricity supplied by...?</p> <div class="i1">[] 1 Municipality-Prepaid<br />[] 2 Municipality-Receive bill from municipality<br />[] 3 Eskom-Pre-paid<br />[] 4 Eskom-Receive bill from Eskom<br />[] 5 Other supplier [e.g. metering services such as Impact Meters]<br />[] 6 Do not know</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Municipality-prepaid 2 Municipality-receive bill from municipality 3 Eskom-pre-paid 4 Eskom-receive bill from eskom 5 Other supplier (e.g. metering services such as impact meters) 6 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates the electricity supplier. IPUMS Interruption in electricity (past 3 months) <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Electricity </span></p> <p>[4.48] In the past three months, has this household's electricity been cut or interrupted without prior notification, even though the household paid the bill or bought pre-paid electricity?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Households with in-house access to electricity [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether there was an interruption in electricity in the past 3 months. IPUMS Electricity interruptions last longer than 12 hours <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Electricity </span></p> <p>[4.49] In the past 3 months, did any of these electricity interruptions last for more than 12 hours? <br /> </p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Households with in-house access to electricity that experienced service interruptions in the past 3 months [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the electricity interruptions last longer than 12 hours. IPUMS Refuse removal <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Refuse disposal </span></p> <p>[4.72] How is the refuse or rubbish of this household mainly collected or removed?</p> <div class="i1">[] 1 Removed by local authority/private company/community members at least once a week<br />[] 2 Removed by local authority/private company/community members less often than once a week<br />[] 3 Communal refuse dump<br />[] 4 Communal container/central collection point<br />[] 5 Own refuse dump<br />[] 6 Dump or leave rubbish anywhere [no rubbish disposal]<br />[] 7 Other</div> South Africa 2016: All households 1 Removed by local authority, private company or community members 2 Removed by local authority, private company or community members 3 Communal refuse dump 4 Communal container or central collection point 5 Own refuse dump 6 Dump or leave rubbish anywhere (no rubbish disposal) 7 Other This variable indicates the type of refuse removal. IPUMS Mode for receiving mail or post <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Postal/mail services </span></p> <p>[4.78] How does this household receive most of its mail/post?</p> <div class="i1">[] 1 Delivered to the dwelling<br />[] 2 Delivered to a post box/private bag owned by the household<br />[] 3 Through a friend/neighbor/relative<br />[] 4 Through a shop/school<br />[] 5 Through a workplace<br />[] 6 Through a tribal/traditional/local authority office<br />[] 7 By email<br />[] 8 Do not receive mail<br />[] 9 Other</div> South Africa 2016: All households 01 Delivered to the dwelling 02 Delivered to a post box or private bag owned by the household 03 Through a friend, neighbour, or relative 04 Through a shop or school 05 Through a workplace 06 Through a tribal, traditional or local authority office 07 By email 08 Do not receive mail 09 Other 99 Unknown This variable indicates the household mode for receiving mail or post. IPUMS Dwelling type <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Dwelling unit</span></p> <p>[4.23] Which of the following describes the main dwelling that this household currently lives in?</p> <div class="i1">[] 1 Formal dwelling/house or brick/concrete block structure on a separate stand or yard or on a farm<br />[] 2 Traditional dwelling/hut/structure made of traditional material<br />[] 3 Flat or apartment in a block of flats<br />[] 4 Cluster house in complex<br />[] 5 Townhouse [semi-detached house in a complex]<br />[] 6 Semi-detached house<br />[] 7 Formal dwelling/house/flat/room in backyard<br />[] 8 Informal dwelling/shack in backyard<br />[] 9 Informal dwelling/shack not in backyard [e.g. in an informal/squatter settlement or on a farm]<br />[] 10 Room/flatlet on a property or larger dwelling/servants quarters/granny flat/cottage<br />[] 11 Caravan/tent<br />[] 12 Other</div> South Africa 2016: All households 01 Formal dwelling, house or brick or concrete block structure on a separate stand or yard or on a farm 02 Traditional dwelling, hut or structure made of traditional mater 03 Flat or apartment in a block of flats 04 Cluster house in complex 05 Townhouse (semi-detached house in a complex) 06 Semi-detached house 07 Formal dwelling, house, flat or room in backyard 08 Informal dwelling or shack in backyard 09 Informal dwelling or shack not in backyard 10 Room or flatlet on a property or larger dwelling or servants quarters on a farm 11 Caravan or tent 12 Other 99 Unknown This variable indicates the type of dwelling (for the main dwelling). IPUMS Dwelling tenure status <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Dwelling unit</span></p> <p>[4.24] What is the tenure status of the main dwelling that this household currently occupies?</p> <div class="i1">[] 1 Rented from private individual<br />[] 2 Rented from other [incl. municipality and social housing institutions]<br />[] 3 Owned, but not yet paid off<br />[] 4 Owned and fully paid off<br />[] 5 Occupied rent-free<br />[] 6 Other<br />[] 7 Do not know</div> South Africa 2016: All households 1 Rented from private individual 2 Rented from other (including municipality and social housing) 3 Owned but not yet paid off 4 Owned and fully paid off 5 Occupied rent-free 6 Other 7 Do not know 9 Unknown This variable indicates the tenure status. IPUMS Possession of title deed <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Dwelling unit</span></p> <p>[4.28] Does this household possess a title deed for this dwelling?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Households not renting the dwelling [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates the possession of title deed. IPUMS Currently live in RDP or government subsidised dwelling <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Dwelling unit</span></p> <p>[4.29] Is the main dwelling that the household currently lives in an RDP or government subsidized dwelling?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the main dwelling lives in an RDP (Reconstruction and Development Programme) or government subsidized dwelling. IPUMS Rating overall quality of RDP or government subsidised dwelling <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Dwelling unit</span></p> <p>[4.30] How would this household rate the overall quality of the RDP or government subsidized dwelling provided by the government?</p> <div class="i1">[] 1 Good<br />[] 2 Average<br />[] 3 Poor<br />[] 4 Do not know</div> South Africa 2016: Households living in RDP or government subsidised dwelling [discrepancies: none] 1 Good 2 Average 3 Poor 4 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates the rating overall quality of RDP (Reconstruction and Development Programme) or government subsidized dwelling. IPUMS Switching off your lights when leaving home <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">1 Switching off your lights when you leave the house</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household switches off lights when leaving home as an energy saving method. IPUMS Using energy-saving light bulbs <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">2 Using energy-saving light bulbs</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household uses energy-saving light bulbs as an energy saving method. IPUMS Switching off all your lights, except security lights in the home when not in use <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">3 Switching off all your lights, except security lights in the home when not in use</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household switches off all lights, except security lights in the home when not in use as an energy saving method. IPUMS Switching off appliances when not in use <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">4 Switching off appliances [TV, radio, hi-fi] at the wall [not remote control] when not in use</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household switches off appliances at the wall when not in use as an energy saving method. IPUMS Switching off geyser at certain times <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">5 Switching off geyser at certain times</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household switches off geyser at certain times as an energy saving method. IPUMS Boiling only water with a pot or kettle when needed <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">6 Boiling only as much water with a pot or kettle that is needed</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household boils only as much water with a pot or kettle that is needed as an energy saving method. IPUMS Using stove plates and oven as little as possible <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">7 Using stove plates and oven as little as possible</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household uses stove plates and oven as little as possible as an energy saving method. IPUMS Using warm clothing or blankets instead of an electric heater <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">8 Using warm clothing or blankets instead of an electric heater</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household uses warm clothing or blankets instead of an electric heater as an energy saving method. IPUMS Closing windows and doors when heater is on <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">9 Closing windows and doors when heater is on</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: type I trace; type II none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household closes windows and doors when heater is on as an energy saving method. IPUMS Allowing clothes to drip-dry instead of ironing <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">10 Allowing clothes to drip-dry instead of ironing</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household allows clothes to drip-dry instead of ironing as an energy saving method. IPUMS Installing a solar water heater instead of an electric geyser <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">11 Installing a solar water heater instead of an electric geyser</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household installs a solar water heater instead of an electric geyser as an energy saving method. IPUMS Insulating household's geyser and hot pipes <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Saving energy in the household </span></p> <p>[4.51] Which of the following energy saving methods does this household often use to save energy?</p> <div class="i1">12 Insulating household's geyser and hot pipes</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households with access to electricity [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household insulates household's geyser and hot pipes as an energy saving method. IPUMS Main source of energy for cooking <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Energy source</span></p> <p>[4.53] What is this household's main source of energy for cooking?</p> <div class="i1">[] 1 Electricity from mains<br />[] 2 Other source of electricity [e.g. generator, etc.]<br />[] 3 Gas<br />[] 4 Paraffin<br />[] 5 Wood<br />[] 6 Coal<br />[] 8 Animal dung<br />[] 9 Solar<br />[] 10 Other<br />[] 11 None</div> South Africa 2016: All households 01 Electricity from mains 02 Other source of electricity (e.g. generator; etc.) 03 Gas 04 Paraffin 05 Wood 06 Coal 08 Animal dung 09 Solar 10 Other 11 None 99 Unknown This variable indicates the main source of energy for cooking. IPUMS Main source of energy for lighting <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Energy source</span></p> <p>[4.54] What is this household's main source of energy for lighting?</p> <div class="i1">[] 1 Electricity from mains<br />[] 2 Other source of electricity [e.g. generator, etc]<br />[] 3 Gas<br />[] 4 Paraffin<br />[] 7 Candles<br />[] 9 Solar<br />[] 10 Other<br />[] 11 None</div> South Africa 2016: All households 01 Electricity from mains 02 Other source of electricity (e.g. generator; etc.) 03 Gas 04 Paraffin 07 Candles 09 Solar 10 Other 11 None 99 Unknown This variable indicates the main source of energy for lighting. IPUMS Main source of energy for water heating <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Energy source</span></p> <p>[4.55] What is this household's main source of energy for water heating?</p> <div class="i1">[] 1 Electricity from mains<br />[] 2 Other source of electricity [e.g. generator, etc.]<br />[] 3 Gas<br />[] 4 Paraffin<br />[] 5 Wood<br />[] 6 Coal<br />[] 8 Animal dung<br />[] 9 Solar<br />[] 10 Other<br />[] 11 None</div> South Africa 2016: All households 01 Electricity from mains 02 Other source of electricity (e.g. generator; etc.) 03 Gas 04 Paraffin 05 Wood 06 Coal 08 Animal dung 09 Solar 10 Other 11 None 99 Unknown This variable indicates the main source of energy for water heating. IPUMS Main source of energy for space heating <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Energy source</span></p> <p>[4.56] What is this household's main source of energy for space heating?</p> <div class="i1">[] 1 Electricity from mains<br />[] 2 Other source of electricity [e.g. generator, etc.]<br />[] 3 Gas<br />[] 4 Paraffin<br />[] 5 Wood<br />[] 6 Coal<br />[] 8 Animal dung<br />[] 9 Solar<br />[] 10 Other<br />[] 11 None</div> South Africa 2016: All households 01 Electricity from mains 02 Other source of electricity (e.g. generator; etc.) 03 Gas 04 Paraffin 05 Wood 06 Coal 08 Animal dung 09 Solar 10 Other 11 None 99 Unknown This variable indicates the main source of energy for space heating. IPUMS Use of electricity as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">1 Electricity</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses electricity as energy sources. IPUMS Use of paraffin as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">2 Paraffin</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses paraffin as energy sources. IPUMS Use of gas as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">3 Gas</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses gas as energy sources. IPUMS Use of candles as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">4 Candles</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses candles as energy sources. IPUMS Use of coal as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">5 Coal</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses coal as energy sources. IPUMS Use of firewood as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">6 Firewood</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses firewood as energy sources. IPUMS Use of solar system as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">7 Solar system</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses solar system as energy sources. IPUMS Use of car batteries as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">8 Car batteries</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses car batteries as energy sources. IPUMS Use of other batteries as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">9 Other batteries</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses other batteries as energy sources. IPUMS Use of generator as energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">10 Generator [petrol/diesel]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses generator as energy sources. IPUMS Use of other energy sources <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Expenditure on energy sources </span></p> <p>[4.58] Does the household use the following energy sources?</p> <div class="i1">11 Other</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household uses other energy sources. IPUMS Refrigerator or freezer <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">1 Refrigerator/freezer</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns refrigerator or freezer. IPUMS Electric or gas stove <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">2 Electric/gas stove</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns electric or gas stove. IPUMS Vacuum cleaner or floor polisher <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">3 Vacuum cleaner / floor polisher</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns vacuum cleaner or floor polisher. IPUMS Washing machine <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">4 Washing machine</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns washing machine. IPUMS Tablet or phablet <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">5 Tablet/Phablet</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns tablet or phablet. IPUMS Personal computer or desktop or laptop <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">6 Personal computer/desktop/laptop</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns personal computer, desktop or laptop. IPUMS Satellite decoder <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">7 Satellite decoder [e.g. MNet/DSTV/StarSat, Open View HD]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns satellite decoder. IPUMS Motor vehicle <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">8 Motor vehicle</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns motor vehicle. IPUMS Television <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">9 Television</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns television. IPUMS Radio <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">10 Radio</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns radio. IPUMS DVD Player or Blu-ray player <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">11 DVD Player/Blu-ray player</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns dvd player or blu-ray player. IPUMS Home theatre system <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">12 Home theatre system</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns home theatre system. IPUMS Landline <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">13 Landline</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns landline. IPUMS Cell phone <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">14 Cellphone</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns cell phone. IPUMS Microwave oven <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">15 Microwave oven</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns microwave oven. IPUMS Geyser providing hot water <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">16 Geyser [providing hot water]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns geyser providing hot water. IPUMS Air conditioner <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">17 Air conditioner [excluding fans]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns air conditioner. IPUMS Internet services <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Household goods </span></p> <p>[4.74] Does this household own any of the following in working order?</p> <div class="i1">18 Internet services</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns internet services. IPUMS Internet connection in the dwelling <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Internet services </span></p> <p>[4.76] Do members of this household use the following internet service(s)?</p> <div class="i1">1 Internet connection in the dwelling</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether members of the household use internet-connection in the dwelling. IPUMS Internet connection from a library, community hall, or Thusong centre <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Internet services </span></p> <p>[4.76] Do members of this household use the following internet service(s)?</p> <div class="i1">2 Internet connection from a library/community hall/Thusong centre</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether members of the household use internet-connection from a library, community hall or thusong center. IPUMS Internet at a school, university, or college <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Internet services </span></p> <p>[4.76] Do members of this household use the following internet service(s)?</p> <div class="i1">3 Internet for students at a school/university/college</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether members of the household use internet at a school, university or college. IPUMS Internet connection at a place of work <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Internet services </span></p> <p>[4.76] Do members of this household use the following internet service(s)?</p> <div class="i1">4 Internet connection at a place of work</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether members of the household use internet connection at a place of work. IPUMS Internet cafe 2km or less from the dwelling <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Internet services </span></p> <p>[4.76] Do members of this household use the following internet service(s)?</p> <div class="i1">5 Internet cafe 2km or less from the dwelling</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether members of the household use internet cafe 2km or less from the dwelling. IPUMS Internet cafe more than 2km from the dwelling <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Internet services </span></p> <p>[4.76] Do members of this household use the following internet service(s)?</p> <div class="i1">6 Internet cafe more than 2km from the dwelling</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether members of the household use internet cafe more than 2km from the dwelling. IPUMS Internet at any place via a cell phone <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Internet services </span></p> <p>[4.76] Do members of this household use the following internet service(s)?</p> <div class="i1">7 Any place via a cellphone</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether members of the household use internet at any place via a cell phone. IPUMS Internet at any place via other mobile access service <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Internet services </span></p> <p>[4.76] Do members of this household use the following internet service(s)?</p> <div class="i1">8 Any place via other mobile access service</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether members of the household use internet at any place via other mobile access service. IPUMS Other type of internet services <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Internet services </span></p> <p>[4.76] Do members of this household use the following internet service(s)?</p> <div class="i1">9 Other</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether members of the household use other type of internet services. IPUMS Safety during the day <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Perceptions of safety </span></p> <p>[4.80] If you had to walk alone in your area during the day, how safe would you feel?</p> <div class="i1">[] 1 Very safe<br />[] 2 Fairly safe<br />[] 3 A bit unsafe<br />[] 4 Very unsafe</div> South Africa 2016: All households 1 Very safe 2 Fairly safe 3 A bit unsafe 4 Very unsafe 9 Unknown This variable indicates whether the household members feel safety during the day if they had to walk alone. IPUMS Safety when it is dark <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Perceptions of safety </span></p> <p>[4.81] If you had to walk alone in your area when it is dark, how safe would you feel?</p> <div class="i1">[] 1 Very safe<br />[] 2 Fairly safe<br />[] 3 A bit unsafe<br />[] 4 Very unsafe</div> South Africa 2016: All households 1 Very safe 2 Fairly safe 3 A bit unsafe 4 Very unsafe 9 Unknown This variable indicates whether the household members feel safety when it is dark if they had to walk alone. IPUMS Victim of crime in the past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Crime experienced by the household </span></p> <p>[4.83] In the past 12 months, has the household or any member of this household been a victim of crime in South Africa?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All households 1 Yes 2 No 3 Do not know 9 Unknown This variable indicates whether any member of the household has been victim of crime in the past 12 months. IPUMS Experienced murder in the past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Crime experienced by the household </span></p> <p>[4.84] In the past 12 months, did the household or any member of this household been a victim of the following crime(s) in South Africa?</p> <div class="i1">1 Murder [unlawful and intentional killing of another human being]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households that were victim of a crime in the past 12 months [discrepancies: type I none; type II 1.3%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether any member of the household has been victim of murder in the past 12 months. IPUMS Experienced a home robbery in the past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Crime experienced by the household </span></p> <p>[4.84] In the past 12 months, did the household or any member of this household been a victim of the following crime(s) in South Africa?</p> <div class="i1">2 Home robbery [unlawfully taking property from a person with the use of force or threat in a residential dwelling]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households that were victim of a crime in the past 12 months [discrepancies: type I none; type II 1.1%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether any member of the household has been victim of home robbery in the past 12 months. IPUMS Experienced a house breaking in the past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Crime experienced by the household </span></p> <p>[4.84] In the past 12 months, did the household or any member of this household been a victim of the following crime(s) in South Africa?</p> <div class="i1">3 Housebreaking/burglary at a residential premises [gaining unauthorized access to a dwelling with the intent to commit theft or when actually committing theft-there is no contact between victim(s) and perpetrator(s)]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households that were victim of a crime in the past 12 months [discrepancies: type I none; type II 0.8%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether any member of the household has been victim of house breaking in the past 12 months. IPUMS Experienced a robbery in the past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Crime experienced by the household </span></p> <p>[4.84] In the past 12 months, did the household or any member of this household been a victim of the following crime(s) in South Africa?</p> <div class="i1">4 Robbery [taking something from a person by use of force or threat of force, excluding home robbery and motor vehicle hijacking]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households that were victim of a crime in the past 12 months [discrepancies: type I none; type II 1.0%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether any member of the household has been victim of robbery in the past 12 months. IPUMS Experienced theft of livestock, poultry and other animals in the past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Crime experienced by the household </span></p> <p>[4.84] In the past 12 months, did the household or any member of this household been a victim of the following crime(s) in South Africa?</p> <div class="i1">5 Theft of livestock, poultry and other animals</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households that were victim of a crime in the past 12 months [discrepancies: type I none; type II 1.4%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether any member of the household has been victim of theft of livestock, poultry and other animals in the past 12 months. IPUMS Experienced theft of a motor vehicle or motorcycle in the past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Crime experienced by the household </span></p> <p>[4.84] In the past 12 months, did the household or any member of this household been a victim of the following crime(s) in South Africa?</p> <div class="i1">6 Theft of a motor vehicle and/or motorcycle</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households that were victim of a crime in the past 12 months [discrepancies: type I none; type II 1.5%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether any member of the household has been victim of theft of motor vehicle and, or motorcycle in the past 12 months. IPUMS Experienced other crime in the past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Crime experienced by the household </span></p> <p>[4.84] In the past 12 months, did the household or any member of this household been a victim of the following crime(s) in South Africa?</p> <div class="i1">7 Other crime</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households that were victim of a crime in the past 12 months [discrepancies: type I none; type II 1.0%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether any member of the household has been victim of other crime in the past 12 months. IPUMS Household involved in agriculture <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Agricultural activities and food security </span></p> <p>[4.88] Did this household produce any kind of food or other agricultural products [e.g. livestock, crops, poultry, food gardening, forestry, fish, etc.] whether sold or consumed, between 01 January 2015 and 31 December 2015?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> South Africa 2016: All households 1 Yes 2 No This variable indicates whether the household is involved in agriculture. IPUMS Livestock production <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Type of Agricultural activities </span></p> <p>[4.92] Which of the following agricultural activities was the household involved in?</p> <div class="i1">1 Livestock production [e.g. cattle, goats, sheep, pigs]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households involved in agriculture [discrepancies: type I trace; type II 1.5%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household produces livestock. IPUMS Poultry production <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Type of Agricultural activities </span></p> <p>[4.92] Which of the following agricultural activities was the household involved in?</p> <div class="i1">2 Poultry production [e.g. chicken, ducks, geese, guinea fowl, ostrich]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households involved in agriculture [discrepancies: type I trace; type II 1.2%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household produces poultry. IPUMS Grains and food crops production <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Type of Agricultural activities </span></p> <p>[4.92] Which of the following agricultural activities was the household involved in?</p> <div class="i1">3 Grains and food crops [e.g. maize, wheat, beans, sorghum, millet, groundnuts]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households involved in agriculture [discrepancies: type I trace; type II 4.9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household produces grains and food crops. IPUMS Industrial crops production <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Type of Agricultural activities </span></p> <p>[4.92] Which of the following agricultural activities was the household involved in?</p> <div class="i1">4 Industrial crops [e.g. tea, coffee, cotton, tobacco]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households involved in agriculture [discrepancies: type I trace; type II 4.9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household produces industrial crops. IPUMS Fruit production <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Type of Agricultural activities </span></p> <p>[4.92] Which of the following agricultural activities was the household involved in?</p> <div class="i1">5 Fruit production</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households involved in agriculture [discrepancies: type I trace; type II 4.9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household produces fruit production. IPUMS Vegetable production <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Type of Agricultural activities </span></p> <p>[4.92] Which of the following agricultural activities was the household involved in?</p> <div class="i1">6 Vegetable production</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households involved in agriculture [discrepancies: type I trace; type II 4.9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household produces vegetable production. IPUMS Other type of agricultural production <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Type of Agricultural activities </span></p> <p>[4.92] Which of the following agricultural activities was the household involved in?</p> <div class="i1">7 Other</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Households involved in agriculture [discrepancies: type I trace; type II 4.9%] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the household produces other type of agricultural production. IPUMS Type of farm used in crop production <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Type of farming practice for crop production </span></p> <p>[4.94] What type of farming practice is used by this household for crop production?</p> <div class="i1">[] 1 Irrigation<br />[] 2 Dry land<br />[] 3 Both irrigation and dry land</div> South Africa 2016: Households involved in agriculture [discrepancies: type I trace; type II 4.9%] 1 Irrigation 2 Dry land 3 Both irrigation and dry land 9 NIU (not in universe) This variable indicates the type of farm practice for crop production. IPUMS Owned livestock or poultry <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Livestock/Poultry</span></p> <p>[4.96] Did this household own/look after any livestock or poultry as on 07 March 2016?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> South Africa 2016: All households 1 Yes 2 No 9 Unknown This variable indicates whether the household owns livestock or poultry on March 7th, 2016. IPUMS Number of cattle <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Livestock/Poultry</span></p> <p>How many of the following livestock/poultry does this household own or look after as on 07 March 2016?</p> <div class="i1">[4.98] Cattle _ _ _ _ _ _ _ _ _ _</div> South Africa 2016: All households 0000 None 0001 1 0002 2 0003 3 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 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 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 0100 100 0102 102 0103 103 0104 104 0105 105 0106 106 0107 107 0108 108 0109 109 0110 110 0111 111 0112 112 0113 113 0114 114 0115 115 0116 116 0118 118 0119 119 0120 120 0121 121 0122 122 0123 123 0125 125 0126 126 0127 127 0128 128 0129 129 0130 130 0131 131 0132 132 0135 135 0136 136 0138 138 0139 139 0140 140 0141 141 0145 145 0146 146 0148 148 0150 150 0151 151 0152 152 0153 153 0155 155 0156 156 0157 157 0159 159 0160 160 0163 163 0165 165 0166 166 0167 167 0168 168 0169 169 0170 170 0171 171 0173 173 0175 175 0178 178 0180 180 0182 182 0183 183 0185 185 0188 188 0190 190 0191 191 0192 192 0193 193 0196 196 0197 197 0198 198 0200 200 0202 202 0203 203 0205 205 0208 208 0210 210 0212 212 0214 214 0215 215 0217 217 0219 219 0220 220 0222 222 0226 226 0230 230 0233 233 0234 234 0240 240 0243 243 0247 247 0249 249 0250 250 0252 252 0258 258 0260 260 0262 262 0263 263 0264 264 0270 270 0280 280 0286 286 0293 293 0296 296 0300 300 0301 301 0308 308 0315 315 0320 320 0325 325 0328 328 0333 333 0338 338 0350 350 0353 353 0356 356 0358 358 0360 360 0380 380 0400 400 0405 405 0410 410 0428 428 0430 430 0432 432 0436 436 0440 440 0450 450 0460 460 0475 475 0480 480 0484 484 0487 487 0500 500 to 999 1000 1000+ This variable indicates the number of cattle owned on March 7th, 2016. IPUMS Number of sheep <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Livestock/Poultry</span></p> <p>How many of the following livestock/poultry does this household own or look after as on 07 March 2016?</p> <div class="i1">[4.99] Sheep _ _ _ _ _ _ _ _ _ _</div> South Africa 2016: All households 0000 None 0001 1 0002 2 0003 3 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 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 0100 100 0101 101 0102 102 0103 103 0104 104 0105 105 0106 106 0107 107 0108 108 0109 109 0110 110 0111 111 0112 112 0113 113 0115 115 0116 116 0117 117 0118 118 0119 119 0120 120 0121 121 0122 122 0123 123 0124 124 0125 125 0126 126 0127 127 0128 128 0129 129 0130 130 0131 131 0132 132 0133 133 0134 134 0135 135 0136 136 0137 137 0138 138 0139 139 0140 140 0141 141 0142 142 0143 143 0145 145 0146 146 0148 148 0149 149 0150 150 0151 151 0152 152 0153 153 0154 154 0155 155 0156 156 0157 157 0158 158 0159 159 0160 160 0161 161 0162 162 0163 163 0164 164 0165 165 0166 166 0167 167 0168 168 0169 169 0170 170 0172 172 0173 173 0174 174 0175 175 0176 176 0177 177 0178 178 0180 180 0182 182 0183 183 0185 185 0186 186 0187 187 0188 188 0189 189 0190 190 0192 192 0193 193 0195 195 0197 197 0198 198 0200 200 0201 201 0203 203 0205 205 0208 208 0210 210 0212 212 0215 215 0216 216 0218 218 0219 219 0220 220 0221 221 0225 225 0230 230 0231 231 0235 235 0240 240 0242 242 0245 245 0250 250 0253 253 0255 255 0258 258 0259 259 0260 260 0263 263 0264 264 0267 267 0272 272 0273 273 0280 280 0285 285 0286 286 0289 289 0291 291 0295 295 0296 296 0300 300 0308 308 0311 311 0314 314 0319 319 0320 320 0323 323 0325 325 0340 340 0345 345 0346 346 0347 347 0350 350 0356 356 0359 359 0360 360 0375 375 0380 380 0386 386 0392 392 0394 394 0395 395 0399 399 0400 400 0409 409 0416 416 0425 425 0444 444 0450 450 0451 451 0452 452 0475 475 0482 482 0500 500 0510 510 0512 512 0516 516 0520 520 0524 524 0550 550 0560 560 0580 580 0583 583 0589 589 0598 598 0600 600 0640 640 0646 646 0650 650 0670 670 0675 675 0680 680 0700 700 0714 714 0720 720 0723 723 0750 750 0800 800 0822 822 0845 845 0847 847 0850 850 0890 890 0900 900 0920 920 0950 950 0952 952 0980 980 0982 982 0994 994 1000 1000 1005 1005 1021 1021 1100 1100 1200 1200 1300 1300 1400 1400 1500 1500 to 1999 2000 2000 to 2999 3000 3000+ This variable indicates the number of sheep owned on March 7th, 2016. IPUMS Number of goats <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Livestock/Poultry</span></p> <p>How many of the following livestock/poultry does this household own or look after as on 07 March 2016?</p> <div class="i1">[4.100] Goats _ _ _ _ _ _ _ _ _ _</div> South Africa 2016: All households 000 None 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 084 84 085 85 086 86 087 87 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 to 199 200 200+ This variable indicates the number of goats owned on March 7th, 2016. IPUMS Number of pigs <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Livestock/Poultry</span></p> <p>How many of the following livestock/poultry does this household own or look after as on 07 March 2016?</p> <div class="i1">[4.101] Pigs _ _ _ _ _ _ _ _ _ _</div> South Africa 2016: All households 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 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 38 38 39 39 40 40 41 41 42 42 43 43 45 45 47 47 48 48 50 50+ This variable indicates the number of pigs owned on March 7th, 2016. IPUMS Number of chicken <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Livestock/Poultry</span></p> <p>How many of the following livestock/poultry does this household own or look after as on 07 March 2016?</p> <div class="i1">[4.102] Chickens _ _ _ _ _ _ _ _ _ _</div> South Africa 2016: All households 0000 None 0001 1 0002 2 0003 3 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 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 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0092 92 0093 93 0095 95 0096 96 0097 97 0098 98 0099 99 0100 100 0102 102 0103 103 0104 104 0105 105 0106 106 0107 107 0108 108 0110 110 0111 111 0112 112 0115 115 0116 116 0120 120 0123 123 0126 126 0128 128 0129 129 0130 130 0140 140 0143 143 0147 147 0150 150 0156 156 0157 157 0160 160 0161 161 0165 165 0166 166 0170 170 0180 180 0189 189 0190 190 0193 193 0194 194 0195 195 0196 196 0197 197 0198 198 0200 200 0204 204 0210 210 0213 213 0214 214 0220 220 0221 221 0230 230 0236 236 0242 242 0245 245 0250 250 0260 260 0270 270 0280 280 0282 282 0290 290 0300 300 0333 333 0340 340 0350 350 0397 397 0400 400 0420 420 0430 430 0450 450 0470 470 0477 477 0480 480 0490 490 0500 500 to 999 1000 1000+ This variable indicates the number of chickens owned on March 7th, 2016. IPUMS Number of poultry <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Livestock/Poultry</span></p> <p>How many of the following livestock/poultry does this household own or look after as on 07 March 2016?</p> <div class="i1">[4.103] Other poultry [e.g. ducks, turkeys, ostriches, geese] _ _ _ _ _ _ _ _ _ _</div> South Africa 2016: All households 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 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 48 48 49 49 50 50+ This variable indicates the number of poultry owned on March 7th, 2016. IPUMS Ran out of money to buy food in past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Food security</span></p> <p>[4.105] In the past 12 months, did this household run out of money to buy food?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All households 1 Yes 2 No 3 Do not know 9 Unknown This variable indicates whether the household ran out of money to buy food in past 12 months. IPUMS Ran out of money to buy food for 5 or more days in past 30 days <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Food security</span></p> <p>[4.106] Has this happened for 5 or more days in the past 30 days?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Households that ran out of money to buy food in the past twelve months [discrepancies: type I trace; type II none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the household ran out of money to buy food for 5 or more days in past 30 days. IPUMS Skipped meal in past 12 months <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Food security</span></p> <p>[4.107] In the past 12 months, did this household skip any meal(s) because there was not enough food for the household?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All households 1 Yes 2 No 3 Do not know 9 Unknown This variable indicates whether the household skipped meal in past 12 months. IPUMS Skipped meal for 5 or more days in the past 30 days <span class="h2">4 Housing, household goods, services and crime and agricultural activities </span></p> <p>Now, I am going to ask you some questions related to housing, household goods and services, crime and agricultural activities for this particular household.</p> <p><span class="em">Food security</span></p> <p>[4.108] Has this happened for 5 or more days in the past 30 days?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Households that skipped a meal in the past twelve months [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the household skipped meal for 5 or more days in the past 30 days. IPUMS Emigrants leaving South Africa and were part of household since March 2006 <span class="h2">5. Emigration and mortality</span></p> <p><span class="em">Emigration</span></p> <p>5.3 Are there any person(s) who were part of this household at any time since March 2006 who have left South Africa to reside in another country and are still residing outside South Africa?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All households 1 Yes 2 No This variable indicates whether there are any person(s) who were part of the household at any time since March 2006 who have left South Africa to reside in another country and are still residing outside South Africa. IPUMS Any deaths in the past 12 months <span class="h2">5. Emigration and mortality</span></p> <p><span class="em">Mortality</span></p> <p>5.9 In the past 12 months [between 07 March 2015 and 06 March 2016], has any member of this household passed away?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All households 1 Yes 2 No This variable indicates whether there are any deaths in the household in the past 12 months. IPUMS Number of deaths in the past 12 months <span class="h2">5. Emigration and mortality</span></p> <p><span class="em">Mortality</span></p> <p>[5.10] How many members of this household have passed away in the last 12 months [between 07 March 2015 and 06 March 2016]? ____ South Africa 2016: Households with deaths in the past 12 months [discrepancies: none] 01 1 02 2 03 3 04 4 05 5 06 6 07 7 99 NIU (not in universe) This variable indicates the number of deaths in the household the past 12 months. IPUMS Urban-rural status South Africa 2016: All households 1 Urban areas 2 Tribal or traditional areas 3 Farm areas This variable indicates the urban-rural status. IPUMS Household weight South Africa 2016: All households This variable indicates the household weight. This is a 12-digit numeric variable with 9 implied decimal places IPUMS Any emigration from household <span class="h2">5. Emigration and mortality</span></p> <p><span class="em">Emigration</span></p> <p>5.3 Are there any person(s) who were part of this household at any time since March 2006 who have left South Africa to reside in another country and are still residing outside South Africa?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All households 1 Yes 2 No This variable indicates whether there has been emigration in the household. IPUMS Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. IPUMS Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother IPUMS Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father IPUMS Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse IPUMS Rule for linking parent 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Rule for linking spouse 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Probable stepmother Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. IPUMS Probable stepfather Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. IPUMS Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. IPUMS Number of own family members in household 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). IPUMS Number of own children in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Number of own children under age 5 in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Age of eldest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. IPUMS Age of youngest own child in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. IPUMS Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to household head [detailed version] 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Age 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. IPUMS Age, grouped into intervals 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown AGE2 gives computed years of age grouped into intervals. IPUMS Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. IPUMS Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Marital status [detailed version] 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Consensual union 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. IPUMS Year of birth 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown BIRTHYR gives the person's year of birth. IPUMS Month of birth 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) BIRTHMO indicates the person's month of birth. IPUMS 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 Month of last birth 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) LASTBMO indicates the month of birth of the last child born by the respondent. The data refer to live births. IPUMS Year of last birth 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Unknown 9999 NIU (not in universe) LASTBYR indicates the year of birth of the last child born by the respondent. The data refer to live births. IPUMS Sex of last birth NIU (not in universe) 1 Male 2 Female 3 Both sexes (multiple births) 9 Unknown LASTBSEX indicates the sex of a woman's most recent birth. 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 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 Mortality status of last birth NIU (not in universe) 1 Alive 2 Dead 9 Unknown LASTBMORT indicates the mortality status of the last child born to a woman. There is no constraint on how long ago the child may have been born. Only live births are considered. IPUMS Year of death of the last child born 0000 Last child not dead 1915 1915 1930 1930 1931 1931 1932 1932 1933 1933 1935 1935 1936 1936 1937 1937 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 9998 Unknown/missing 9999 NIU (not in universe) CHDEADYR indicates whether the woman's last child had died and, if so, the year of the death. Respondents were to exclude still births from consideration. Also see CHDEADMO. IPUMS Month of death of the last child born 00 Last child not dead 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown/missing 99 NIU (not in universe) CHDEADMO indicates whether the woman's last child had died and, if so, the month of the death. Respondents were to exclude still births from consideration. Also see CHDEADYR. IPUMS Mortality status of mother 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) MORTMOT indicates whether the person's biological mother was still living at the time of the census. IPUMS Mortality status of father 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) MORTFAT indicates whether the person's biological father was still living. IPUMS Nativity status NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing NATIVITY indicates whether the person was native-born or foreign-born. IPUMS Country of birth 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown BPLCOUNTRY indicates the person's country of birth. IPUMS Citizenship 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) CITIZEN indicates the person's citizenship status within the country in which they were enumerated. IPUMS Country of citizenship 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown NATION indicates the person's country of citizenship. IPUMS Year of immigration 0000 NIU (not in universe) 1790 1790 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 In transit 9999 Unknown YRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated. IPUMS Province of birth, South Africa 01 Western Cape 02 Eastern Cape 03 Northern Cape 04 Free State 05 KwaZulu-Natal 06 North West 07 Gauteng 08 Mpumalanga 09 Limpopo 97 Foreign country 98 Unknown 99 NIU (not in universe) BPLZA indicates the province in South Africa 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 Race or color 10 White 20 Black 21 Black African 22 Black Caribbean 23 Afro-Ecuadorian 24 Other Black 30 Indigenous 31 American Indian 32 Latin American Indian 40 Asian 41 Chinese 42 Japanese 43 Korean 44 Vietnamese 45 Filipino 46 Indian 47 Pakistani 48 Bangladeshi 49 Other Asian 50 Mixed race 51 Brown (Brazil) 52 Mestizo (Indigenous and White) 53 Mulatto (Black and White) 54 Coloured (South Africa) 55 Two or more races 60 Other 61 Montubio (Ecuador) 99 Unknown Race identifies the racial group with which a person identified himself or herself, or to which an enumerator assigned them. Determinations of race are based largely on appearance or ancestral place of origin. IPUMS Language spoken at home, South Africa 01 Afrikaans 02 English 03 IsiNdebele 04 IsiXhosa 05 IsiZulu 06 Sepedi 07 Sesotho 08 Setswana 09 Siswati 10 Tshivenda 11 Xitsonga 12 Khoi, Nama and San language 13 Dutch 14 German 15 Greek 16 Italian 17 Portuguese 18 French 19 Tamil 20 Hindi 21 Telugu 22 Gujarati 23 Urdu 24 Chinese 25 Swahili 26 Shona 27 Arabic 28 Sign language 29 Other 98 Unknown 99 NIU (not in universe) LANGZA1 indicates the language the person spoke in the home. 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 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, South Africa 000 None 100 Formal Schooling 101 Year 0 (preschool) 102 Year 1 103 Year 2 104 Year 3 105 Year 4 106 Year 5 107 Year 6 108 Year 7 109 Year 8 110 Year 9 111 Year 10 112 Year 11 113 Year 12 114 Year 12, without university exemption 115 Year 12, with university exemption 120 Less than year 12 with certificate or diploma 121 Less than year 12 with certificate 122 Less than year 12 with diploma 130 Year 12 with certificate 140 Year 12 with diploma 150 Certificate or diploma 151 Certificate or diploma I 152 Certificate or diploma II 153 Certificate or diploma III 154 Certificate or diploma 4 155 Certificate or diploma 5 156 Certificate or diploma 6 210 Bachelor's degree and diploma 220 Bachelor's degree 310 Honours degree or post-graduate diploma 311 Honours degree 312 Post-graduate diploma 320 Post higher diploma (Masters, Doctoral diploma) 330 Higher degree 331 Master's degree 332 Doctorate degree 300 Other 998 Unknown 999 NIU (not in universe) EDUCZA indicates the person's educational attainment in South Africa in terms of the level of schooling completed and the number of years completed at that level. IPUMS Means of transportation to work or school 00 NIU (not in universe) 10 None, does not travel to work or school 20 Walking 21 Walks or bicycle 22 Walks, bicycle, or motorcycle 30 Private vehicle 31 Auto, truck, van 32 Auto (driver) 33 Auto (passenger) 34 Auto, motorcycle, moped 35 Motorcycle, moped, or scooter 36 Bicycle 37 Bicycle or motorcycle/moped 38 Boat 40 Public transportation 41 Bus or trolley bus 42 Bus or streetcar 43 Streetcar or trolley car 44 Railroad or train 45 Subway or elevated train 46 Other public transportation 50 Other 51 Taxicab 52 Ferryboat 53 Special transportation (company coach, school bus, etc.) 54 Hired transport 55 Shared private transport 56 Horse or animal-drawn vehicle 57 Other, not elsewhere classified 60 Combination of several means 99 Unknown/missing TRNWRK identifies the primary or usual means of transportation the person took either to work or school. In censuses in which a person could report multiple modes of transportation, TRNWRK includes only the first response. IPUMS Migration status, previous residence 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. IPUMS 1st subnational geographic level of previous residence, world [consistent boundaries over time] 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu city [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe city [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba city [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre city [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454313 Mwanza, Neno [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496001 Arkhangai [Province: Mongolia] 496002 Bayan-Olgii [Province: Mongolia] 496003 Bayankhongor [Province: Mongolia] 496004 Bulgan [Province: Mongolia] 496005 Govi-Altai [Province: Mongolia] 496006 Dornogovi, Govisumber [Province: Mongolia] 496007 Dornod [Province: Mongolia] 496008 Dundgovi [Province: Mongolia] 496009 Zavkhan [Province: Mongolia] 496010 Ovorkhangai [Province: Mongolia] 496011 Omnogovi [Province: Mongolia] 496012 Sukhbaatar [Province: Mongolia] 496013 Selenge [Province: Mongolia] 496014 Tov [Province: Mongolia] 496015 Uvs [Province: Mongolia] 496016 Khovd [Province: Mongolia] 496017 Khovsgol [Province: Mongolia] 496018 Khentii [Province: Mongolia] 496019 Darkhan-Uul [Province: Mongolia] 496020 Ulaanbaatar [Province: Mongolia] 496021 Orkhon [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. IPUMS Years residing in current dwelling 00 Less than 1 year 01 1 year 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 or more 98 Unknown 99 NIU (not in universe) MIGYRS2 indicates the number of years that the respondent has lived in his/her current dwelling. IPUMS Reason for migration 00 NIU (not in universe) 10 Work 11 Seeking work 12 Job relocation 13 Job assignment 14 Opportunity 15 Proximity to work 16 Job loss 19 Other work 20 Family move 21 Follow household head 22 Follow spouse 23 Follow relative 24 Marriage of a family member 25 Divorce or separation of a family member 26 Healthcare or age of a family member 27 Death or birth of a family member 29 Other family 30 Education 31 Studies 32 End of education 33 Proximity to education 34 Other education 40 Marriage, divorce, widowhood 41 Marriage or union 42 Divorce or widowhood 50 Insecurity, disaster, or violence 51 War, conflict 52 Violence or insecurity 53 Domestic violence 54 Social or political problems, including security 55 Natural disaster 56 Refugee, reason not specified 57 Asylum seeker, reason not specified 59 Other insecurity, disaster, or violence 60 Personal 61 Age related reasons 62 Quality of life 63 Become independent 69 Other personal 70 Other reason 71 Health 72 Repatriation 73 Retirement 74 House or flat acquisition 75 Housing problems 76 Visiting 77 Ordination 78 Military or institutional housing 79 Other reason, not elsewhere classified 99 Unknown MIGCAUSE indicates the reason why the person moved from their previous place of residence. IPUMS Province of previous residence, South Africa; consistent boundaries, GIS 710001 Western Cape 710004 Free State 710005 Eastern Cape, KwaZulu-Natal 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape 710097 Foreign country 710098 Unknown 710099 NIU (not in universe) MIG1_P_ZA indicates the person's province of previous residence. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. IPUMS District of previous residence, South Africa; consistent boundaries, GIS 710001001 West Coast 710001002 Cape Winelands, Overberg 710001003 Eden 710001004 Central Karoo 710001005 City of Cape Town 710004001 Thabo Mofutsanyane, Mangaung, Lejweleputswa, Fezile Dabi, Xhariep 710005001 Cacadu 710005002 Nelson Mandela Bay 710005003 Uthukela, Amajuba 710005004 Umkhanyakude 710005005 Uthungulu 710005006 iLembe 710005007 eThekwini, O.R.Tambo, Umgungundlovu, Amathole, Zululand, Alfred Nzo, Chris Hani, Buffalo City, Ugu, Umzinyathi, Sisonke, Joe Gqabi 710007001 Namakwa 710007002 Sedibeng, Ngaka Modiri Molema, West Rand, Dr Kenneth Kaunda, Dr Ruth Segomotsi Mompati, Frances Baard, Siyanda, John Taolo Gaetsewe, Pixley ka Seme 710007003 Ekurhuleni, City of Tshwane, Ehlanzeni, Bojanala, Nkangala, Vhembe, Capricorn, Greater Sekhukhune, Mopani, Waterberg 710007004 City of Johannesburg 710007005 Gert Sibande 710097097 Abroad 710098098 Unknown 710099099 NIU (not in universe) MIG2_P_ZA indicates the person's district council of previous residence within South Africa. Migration district council codes for MIG2_P_ZA are compatible with codes for GEO2_ZA. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. IPUMS Same place 5 years ago, South Africa NIU (not in universe) 1 Yes 2 No 8 Unknown MIGPLCZA indicates whether the person lived in the same location five years prior to the census. 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 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 limiting ability to walk NIU (not in universe) 1 Yes 2 No 9 Unknown DISMOBIL indicates whether the person has difficulty walking or climbing stairs. IPUMS Mental disability NIU (not in universe) 1 Yes 2 No 9 Unknown DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. IPUMS Personal care limitation NIU (not in universe) 1 Yes, personal care limitation 2 No personal care limitation 9 Unknown DISCARE indicates whether the respondent had any permanent condition that made it difficult for him/her to take care of their personal needs. IPUMS Difficulty with self-care (Washington group) 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 8 Unknown 9 NIU (not in universe) WGCARE indicates the person's level of difficulty in caring for herself or himself, related to activities such as dressing or bathing. IPUMS Difficulty remembering or concentrating (Washington group) 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 8 Unknown 9 NIU (not in universe) WGCOGN indicates the person's level of difficulty in remembering or concentrating. IPUMS Difficulty communicating (Washington group) 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 8 Unknown 9 NIU (not in universe) WGCOMM indicates the person's level of difficulty in communicating, related to being understood or understanding, even in a usual language. IPUMS Difficulty hearing (Washington group) 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 8 Unknown 9 NIU (not in universe) WGHEAR indicates the person's level of difficulty in hearing, even if using a hearing aid. IPUMS Difficulty walking or climbing stairs (Washington group) 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 8 Unknown 9 NIU (not in universe) WGMOBIL indicates the person's level of difficulty in walking or climbing stairs. IPUMS Difficulty seeing (Washington group) 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 8 Unknown 9 NIU (not in universe) WGVISION indicates the person's level of difficulty in seeing, even while wearing glasses. IPUMS Person number (within household) South Africa 2016: 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 This variable indicates the person number (within household). IPUMS Sex <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.2] Is the respondent male or female?</p> <div class="i1">[] 1 Male<br />[] 2 Female</div> South Africa 2016: All persons 1 Male 2 Female This variable indicates the person's gender. IPUMS Year of birth <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.3] What is the respondent's date of birth? ____ South Africa 2016: All persons 1908 1908 or before 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 This variable indicates the person's year of birth. IPUMS Month of birth <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.3] What is the respondent's date of birth? ____ South Africa 2016: All persons 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown This variable indicates the person's month of birth. IPUMS Age <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.4] What is the respondent's age in completed years? ____ South Africa 2016: All persons 000 Under 1 001 1 year old 002 2 years old 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107+ This variable indicates the person's age. IPUMS Age (5-year groups) <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.4] What is the respondent's age in completed years? ____ South Africa 2016: All persons 01 00-04 02 05-09 03 10-14 04 15-19 05 20-24 06 25-29 07 30-34 08 35-39 09 40-44 10 45-49 11 50-54 12 55-59 13 60-64 14 65-69 15 70-74 16 75-79 17 80-84 18 85+ This variable indicates the person's age, in 5-year groups. IPUMS Age (grouped) <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.4] What is the respondent's age in completed years? ____ South Africa 2016: All persons 1 0 to 14 2 15 to 34 3 35 to 64 4 65+ This variable indicates the person's age in broad age groups. IPUMS Relationship to household head <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.5] What is the respondent's relationship to the head or acting head of the household?</p> <div class="i1">[] 1 Head/acting head<br />[] 2 Husband/wife/partner<br />[] 3 Son/daughter<br />[] 4 Adopted son/daughter<br />[] 5 Stepchild<br />[] 6 Brother/sister<br />[] 7 Parent [father/mother]<br />[] 8 Parent-in-law<br />[] 9 Grandchild/great grandchild<br />[] 10 Son-in-law/daughter-in-law<br />[] 11 Brother-in-law/sister-in-law<br />[] 12 Grandmother/grandfather<br />[] 13 Other relative [e.g. aunt/uncle]<br />[] 14 Non-related person</div> South Africa 2016: All persons 01 Head or acting head 02 Husband, wife or partner 03 Son or daughter 04 Adopted son or daughter 05 Stepchild 06 Brother or sister 07 Parent (father or mother) 08 Parent-in-law 09 Grandchild or great grandchild 10 Son-in-law or daughter-in-law 11 Brother-in-law or sister-in-law 12 Grandmother or grandfather 13 Other relative (e.g. aunt or uncle) 14 Non-related person 99 Unknown This variable indicates the person's relationship to household head. IPUMS Marital status <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.6] What is the respondent's present marital status?</p> <div class="i1">[] 1 Legally married [include customary, traditional, religious etc.]<br />[] 2 Living together like husband and wife/partners<br />[] 3 Divorced<br />[] 4 Separated, but still legally married<br />[] 5 Widowed<br />[] 6 Single, but have been living together with someone as husband/wife/partner before<br />[] 7 Single, and have never lived together as husband/wife/partner before</div> South Africa 2016: Persons age 12+ [discrepancies: none] 1 Legally married (include customary; traditional; religious etc.) 2 Living together like husband and wife or partners 3 Divorced 4 Separated, but still legally married 5 Widowed 6 Single, but have been living together with someone as husband, wife or partner before 7 Single, and have never lived together as husband, wife or partner before 8 Unknown 9 NIU (not in universe) This variable indicates the person's marital status. IPUMS Population ethnic group <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.7] What population group does the respondent belong to?</p> <div class="i1">[] 1 Black African<br />[] 2 Coloured<br />[] 3 Indian/Asian<br />[] 4 White<br />[] 5 Other<br />[] 6 Refused</div> South Africa 2016: All persons 1 Black African 2 Coloured 3 Indian or Asian 4 White This variable indicates the person's population group. IPUMS Language most spoken in the household <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.9] Which language does the respondent speak most often in this household?</p> <div class="i1">[] 1 Afrikaans<br />[] 2 English<br />[] 3 Isindebele<br />[] 4 Isixhosa<br />[] 5 Isizulu<br />[] 6 Sepedi<br />[] 7 Sesotho<br />[] 8 Setswana<br />[] 9 Sign language<br />[] 10 Siswati<br />[] 11 Tshivenda<br />[] 12 Xitsonga<br />[] 13 Khoi, Nama and San languages<br />[] 14 Other</div> South Africa 2016: Persons age 1+ [discrepancies: none] 01 Afrikaans 02 English 03 Isindebele 04 Isixhosa 05 Isizulu 06 Sepedi 07 Sesotho 08 Setswana 09 Sign language 10 Siswati 11 Tshivenda 12 Xitsonga 13 Khoi, Nama and San languages 14 Other 98 Unknown 99 NIU (not in universe) This variable indicates the language most spoken in the household. IPUMS Religion <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.11] How would you describe the respondent's main religious affiliation/belief?</p> <div class="i1">[] 1 Christianity<br />[] 2 Islam<br />[] 3 Traditional African religion [e.g. Ancestral, Tribal, Animist etc.]<br />[] 4 Hinduism<br />[] 5 Buddhism<br />[] 6 Bahaism<br />[] 7 Judaism<br />[] 8 Atheism<br />[] 9 Agnosticism<br />[] 10 No religious affiliation/belief<br />[] 11 Other<br />[] 12 Do not know</div> South Africa 2016: All persons 01 Christianity 02 Islam 03 Traditional african religion (e.g. ancestral, tribal, animism) 04 Hinduism 05 Buddism 06 Bahaism 07 Judaism 08 Atheism 09 Agnosticism 10 No religious affiliation or belief 11 Other 12 Do not know 99 Unknown This variable indicates the person's religious belief. IPUMS Christianity <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.1] Demographics </span></p> <p>[3.7.1.12] Which Christian denomination or church, if any, does the respondent identify with most closely?</p> <div class="i1">[] 1 Catholic<br />[] 2 Anglican/Episcopalian<br />[] 3 Baptist<br />[] 4 Lutheran<br />[] 5 Methodist<br />[] 6 Presbyterian<br />[] 7 Pentecostal/Evangelistic [e.g. Assemblies of God, Born Again, Church of God in Christ, Rhema Church, Apostolic faith mission, Prophetic ministry]<br />[] 8 African independent church/African initiated church [e.g. Zion Christian church, Apostolic church, African Nazareth Baptist church/Shembe]<br />[] 9 Jehovah's Witness<br />[] 10 Seventh day Adventist<br />[] 11 Mormon [e.g. Church of Jesus Christ of latter day saints]<br />[] 12 Reformed Church [e.g. Dutch Reformed Church, Uniting Reformed Church, Christian Reformed Church]<br />[] 13 Just a Christian/Non-denominational<br />[] 14 Other<br />[] 15 Do not know</div> South Africa 2016: Persons who reported that their religious belief was Christianity [discrepancies: none] 01 Catholic 02 Anglican or Episcopalian 03 Baptist 04 Lutheran 05 Methodist 06 Presbyterian 07 Pentecostal or Evangelistic (e.g. Assemblies of God, Born Again, Church of God in Christ, Rhema Church, Apostolic Faith Mission, Prophetic Ministry) 08 African Independent Church or African Initiated Church (e.g. Zion Christian Church, Apostolic Church, African Nazareth Baptist Church or Shembe) 09 Jehovahs Witness 10 Seventh Day Adventist 11 Mormon (e.g. Church of Jesus Christ of Latter Day Saints) 12 Reformed church (e.g. Dutch Reformed Church, Uniting Reformed Church, Christian Reformed Church) 13 Just a Christian or non-denominational 14 Other 15 Do not know 98 Unknown 99 NIU (not in universe) This variable indicates the type of Christianity beliefs the person has. IPUMS Province of birth <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p>[3.7.2.2] In which province was the respondent born?</p> <div class="i1">[] 1 Western Cape<br />[] 2 Eastern Cape<br />[] 3 Northern Cape<br />[] 4 Free State<br />[] 5 Kwazulu-Natal<br />[] 6 North West<br />[] 7 Gauteng<br />[] 8 Mpumalanga<br />[] 9 Limpopo<br />[] 10 Outside South Africa<br />[] 11 Do not know</div> South Africa 2016: All persons 01 Western Cape 02 Eastern Cape 03 Northern Cape 04 Free state 05 Kwazulu-Natal 06 North West 07 Gauteng 08 Mpumalanga 09 Limpopo 10 Outside South Africa 11 Do not know 99 Unknown This variable indicates the person's province of birth place. IPUMS Country of birth <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p>[3.7.2.3] In which country was the respondent born?</p> <div class="i1">[Note: No other countries were listed in the original form.]<br /><br />[] 1 Andorra<br />[] 2 United Arab Emirates<br />[] 3 Afghanistan<br />[] 4 Antigua and Barbuda<br />[] 5 Anguilla<br />[] 6 Albania<br />[] 7 Armenia<br />[] 8 Angola<br />[] 9 Antarctica<br />[] 10 Argentina<br />[] 11 American Samoa<br />[] 12 Austria<br />[] 13 Australia<br />[] 14 Aruba<br />[] 15 Aland Islands<br />[] 16 Azerbaijan<br />[] 17 Bosnia and Herzegovina<br />[] 18 Barbados<br />[] 19 Bangladesh<br />[] 20 Belgium</div> South Africa 2016: Persons who were born outside South Africa [discrepancies: none] 004 Afghanistan 008 Albania 016 American Samoa 024 Angola 032 Argentina 036 Australia 040 Austria 050 Bangladesh 056 Belgium 072 Botswana 076 Brazil 086 British Indian Ocean Territory 108 Burundi 120 Cameroon 124 Canada 156 China 158 Taiwan, Province of China 178 Congo (Democratic Republic of the) 192 Cuba 208 Denmark 231 Ethiopia 232 Eritrea 250 France 276 Germany 288 Ghana 300 Greece 356 India 360 Indonesia 372 Ireland 380 Italy 404 Kenya 426 Lesotho 454 Malawi 480 Mauritius 508 Mozambique 516 Namibia 528 Netherlands 554 New Zealand 566 Nigeria 586 Pakistan 616 Poland 620 Portugal 646 Rwanda 686 Senegal 706 Somalia 716 Zimbabwe 724 Spain 748 Swaziland 756 Switzerland 784 United Arab Emirates 800 Uganda 818 Egypt 826 United Kingdom of Great Britain and Northern Ireland 834 Tanzania (United Republic of) 840 United States of America 894 Zambia 901 Africa, other countries 902 America, other countries 903 Asia, other countries 904 Europe, other countries 905 Oceania and other 998 Unknown 999 NIU (not in universe) This variable indicates the person's country of birth place. IPUMS Region of birth <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p>[3.7.2.3] In which country was the respondent born?</p> <div class="i1">[Note: No other countries were listed in the original form.]<br /><br />[] 1 Andorra<br />[] 2 United Arab Emirates<br />[] 3 Afghanistan<br />[] 4 Antigua and Barbuda<br />[] 5 Anguilla<br />[] 6 Albania<br />[] 7 Armenia<br />[] 8 Angola<br />[] 9 Antarctica<br />[] 10 Argentina<br />[] 11 American Samoa<br />[] 12 Austria<br />[] 13 Australia<br />[] 14 Aruba<br />[] 15 Aland Islands<br />[] 16 Azerbaijan<br />[] 17 Bosnia and Herzegovina<br />[] 18 Barbados<br />[] 19 Bangladesh<br />[] 20 Belgium</div> South Africa 2016: All persons 1 Born in South Africa 2 Southern African Development Community (SADC) 3 Rest of Africa 4 United Kingdom and Europe 5 Asia 6 North America 7 Latin America and Caribbean 8 Oceania 9 Unknown This variable indicates the person's region of birth place. IPUMS Year person moved to South Africa <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p>[3.7.2.4] In which year did the respondent move to South Africa? ____ South Africa 2016: Persons who were born outside South Africa [discrepancies: none] 1940 1940 or before 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 9998 Unknown 9999 NIU (not in universe) This variable indicates the year in which the person moved to South Africa. IPUMS Country of citizenship <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p>[3.7.2.5] What is the respondent's country of citizenship?</p> <div class="i1">[Note: No other countries were listed in the original form.]<br /><br />[] 1 Andorra<br />[] 2 United Arab Emirates<br />[] 3 Afghanistan<br />[] 4 Antigua and Barbuda<br />[] 5 Anguilla<br />[] 6 Albania<br />[] 7 Armenia<br />[] 8 Angola<br />[] 9 Antarctica<br />[] 10 Argentina<br />[] 11 American Samoa<br />[] 12 Austria<br />[] 13 Australia<br />[] 14 Aruba<br />[] 15 Aland Islands<br />[] 16 Azerbaijan<br />[] 17 Bosnia and Herzegovina<br />[] 18 Barbados<br />[] 19 Bangladesh<br />[] 20 Belgium</div> South Africa 2016: All persons 004 Afghanistan 008 Albania 010 Antarctica 016 American Samoa 020 Andorra 024 Angola 028 Antigua and Barbuda 032 Argentina 036 Australia 040 Austria 050 Bangladesh 051 Armenia 056 Belgium 072 Botswana 076 Brazil 086 British Indian Ocean Territory 090 Solomon Islands 092 Virgin Islands (British) 108 Burundi 120 Cameroon 124 Canada 140 Central African Republic 156 China 178 Congo (Democratic Republic of the) 231 Ethiopia 232 Eritrea 239 South Georgia and the South Sandwich Islands 248 Åland Islands 250 France 260 French Southern Territories 266 Gabon 276 Germany 288 Ghana 300 Greece 356 India 372 Ireland 380 Italy 404 Kenya 410 Korea (Republic of) 426 Lesotho 454 Malawi 508 Mozambique 516 Namibia 528 Netherlands 533 Aruba 566 Nigeria 586 Pakistan 620 Portugal 646 Rwanda 660 Anguilla 686 Senegal 706 Somalia 710 South Africa 716 Zimbabwe 728 South Sudan 748 Swaziland 756 Switzerland 784 United Arab Emirates 800 Uganda 818 Egypt 826 United Kingdom of Great Britain and Northern Ireland 834 Tanzania (United Republic of) 840 United States of America 894 Zambia 901 Africa, other countries 902 America, other countries 903 Asia, other countries 904 Europe, other countries 905 Oceania and other 999 Unknown This variable indicates the person's country of citizenship. IPUMS South African citizenship <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p>[3.7.2.5] What is the respondent's country of citizenship?</p> <div class="i1">[Note: No other countries were listed in the original form.]<br /><br />[] 1 Andorra<br />[] 2 United Arab Emirates<br />[] 3 Afghanistan<br />[] 4 Antigua and Barbuda<br />[] 5 Anguilla<br />[] 6 Albania<br />[] 7 Armenia<br />[] 8 Angola<br />[] 9 Antarctica<br />[] 10 Argentina<br />[] 11 American Samoa<br />[] 12 Austria<br />[] 13 Australia<br />[] 14 Aruba<br />[] 15 Aland Islands<br />[] 16 Azerbaijan<br />[] 17 Bosnia and Herzegovina<br />[] 18 Barbados<br />[] 19 Bangladesh<br />[] 20 Belgium</div> South Africa 2016: All persons 1 Yes 2 No 9 Unspecified This variable indicates whether the person has South African citizenship. IPUMS Region of citizenship <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p>[3.7.2.5] What is the respondent's country of citizenship?</p> <div class="i1">[Note: No other countries were listed in the original form.]<br /><br />[] 1 Andorra<br />[] 2 United Arab Emirates<br />[] 3 Afghanistan<br />[] 4 Antigua and Barbuda<br />[] 5 Anguilla<br />[] 6 Albania<br />[] 7 Armenia<br />[] 8 Angola<br />[] 9 Antarctica<br />[] 10 Argentina<br />[] 11 American Samoa<br />[] 12 Austria<br />[] 13 Australia<br />[] 14 Aruba<br />[] 15 Aland Islands<br />[] 16 Azerbaijan<br />[] 17 Bosnia and Herzegovina<br />[] 18 Barbados<br />[] 19 Bangladesh<br />[] 20 Belgium</div> South Africa 2016: All persons 1 South Africa 2 Southern African Development Community (SADC) 3 Rest of Africa 4 United Kingdom and Europe 5 Asia 6 North America 7 Latin America and Caribbean 8 Oceania 9 Unknown This variable indicates the person's region of citizenship. IPUMS Enumerated in usual residence <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Usual residence</span></p> <p>[3.7.2.7] Has the respondent been part of this household for at least four nights a week and has done so for the last six months or intends to be part of this household for at least four nights a week for the next six months?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> South Africa 2016: All persons 1 Yes 2 No 9 Unknown This variable indicates whether the person was enumerated in the place of usual residence. IPUMS Province of usual residence (if enumerated outside usual residence) <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Usual residence</span></p> <p>[3.7.2.8] In which province does the respondent usually live?</p> <div class="i1">[] 1 Western Cape<br />[] 2 Eastern Cape<br />[] 3 Northern Cape<br />[] 4 Free State<br />[] 5 Kwazulu-Natal<br />[] 6 North West<br />[] 7 Gauteng<br />[] 8 Mpumalanga<br />[] 9 Limpopo<br />[] 10 Outside South Africa<br />[] 11 Do not know</div> South Africa 2016: Persons enumerated outside their usual place of residence [discrepancies: none] 01 Western Cape 02 Eastern Cape 03 Northern Cape 04 Free State 05 Kwazulu-Natal 06 North West 07 Gauteng 08 Mpumalanga 09 Limpopo 10 Outside South Africa 11 Do not know 98 Unknown 99 NIU (not in universe) This variable indicates the person's province of usual residence. IPUMS Province of usual residence <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Usual residence</span></p> <p>[3.7.2.8] In which province does the respondent usually live?</p> <div class="i1">[] 1 Western Cape<br />[] 2 Eastern Cape<br />[] 3 Northern Cape<br />[] 4 Free State<br />[] 5 Kwazulu-Natal<br />[] 6 North West<br />[] 7 Gauteng<br />[] 8 Mpumalanga<br />[] 9 Limpopo<br />[] 10 Outside South Africa<br />[] 11 Do not know</div> South Africa 2016: All persons 01 Western Cape 02 Eastern Cape 03 Northern Cape 04 Free State 05 Kwazulu-Natal 06 North West 07 Gauteng 08 Mpumalanga 09 Limpopo 10 Outside South Africa 11 Do not know 99 Unknown This variable indicates the person's province of usual residence. IPUMS Local or metropolitan municipality of usual residence <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Usual residence</span></p> <p>[3.7.2.9] In which local/metropolitan municipality does the respondent usually live?</p> <div class="i1">[] 1 160 WC011: Matzikama [1]<br />[] 2 161 WC012: Cederberg [1]<br />[] 3 162 WC013: Bergrivier [1]<br />[] 4 163 WC014: Saldanha Bay [1]<br />[] 5 164 WC015: Swartland [1]<br />[] 6 165 WC022: Witzenberg [1]<br />[] 7 166 WC023: Drakenstein [1]<br />[] 8 167 WC024: Stellenbosch [1]<br />[] 9 168 WC025: Breede Valley [1]<br />[] 10 169 WC026: Langeberg [1]<br />[] 11 170 WC034: Swellendam [1]<br />[] 12 171 WC031: Theewaterskloof [1]<br />[] 13 172 WC032: Overstrand [1]<br />[] 14 173 WC033: Cape Agulhas [1]<br />[] 15 174 WC041: Kannaland [1]<br />[] 16 175 WC042: Hessequa [1]<br />[] 17 176 WC043: Mossel Bay [1]<br />[] 18 177 WC044: George [1]<br />[] 19 178 WC045: Oudtshoorn [1]<br />[] 20 179 WC047: Bitou [1]</div> South Africa 2016: Persons enumerated outside their usual place of residence [discrepancies: type I none; type II trace] 101160 Matzikama 101161 Cederberg 101162 Bergrivier 101163 Saldanha Bay 101164 Swartland 102165 Witzenberg 102166 Drakenstein 102167 Stellenbosch 102168 Breede Valley 102169 Langeberg 103170 Swellendam 103171 Theewaterskloof 103172 Overstrand 103173 Cape Agulhas 104174 Kannaland 104175 Hessequa 104176 Mossel Bay 104177 George 104178 Oudtshoorn 104179 Bitou 104180 Knysna 105181 Laingsburg 105182 Prince Albert 105183 Beaufort West 199199 City of Cape Town 260260 Buffalo City 210261 Camdeboo 210262 Blue Crane Route 210263 Ikwezi 210264 Makana 210265 Ndlambe 210266 Sundays River Valley 210267 Baviaans 210268 Kouga 210269 Kou-Kamma 212270 Mbhashe 212271 Mnquma 212272 Great Kei 212273 Amahlathi 212274 Ngqushwa 212276 Nkonkobe 212277 Nxuba 213278 Inxuba Yethemba 213279 Tsolwana 213280 Inkwanca 213281 Lukanji 213282 Intsika Yethu 213283 Emalahleni-EC 213284 Engcobo 213285 Sakhisizwe 214286 Elundini 214287 Senqu 214288 Maletswai 214289 Gariep 215290 Ngquza Hill 215291 Port St Johns 215292 Nyandeni 215293 Mhlontlo 215294 King Sabata Dalindyebo 244295 Matatiele 244296 Umzimvubu 244297 Mbizana 244298 Ntabankulu 299299 Nelson Mandela Bay 345360 Joe Morolong 345361 Ga-Segonyane 345362 Gamagara 306363 Richtersveld 306364 Nama Khoi 306365 Kamiesberg 306366 Hantam 306367 Karoo Hoogland 306368 Kh?Ma 307369 Ubuntu 307370 Umsobomvu 307371 Emthanjeni 307372 Kareeberg 307373 Renosterberg 307374 Thembelihle 307375 Siyathemba 307376 Siyancuma 308377 Mier 308378 Kai Garib 308379 Khara Hais 308380 Kheis 308381 Tsantsabane 308382 Kgatelopele 309383 Sol Plaatjie 309384 Dikgatlong 309385 Magareng 309386 Phokwane 416460 Letsemeng 416461 Kopanong 416462 Mohokare 416463 Naledi-FS 418464 Masilonyana 418465 Tokologo 418466 Tswelopele 418467 Matjhabeng 418468 Nala 419469 Setsoto 419470 Dihlabeng 419471 Nketoana 419472 Maluti a Phofung 419473 Phumelela 419474 Mantsopa 420475 Moqhaka 420477 Ngwathe 420478 Metsimaholo 420479 Mafube 499499 Mangaung 521503 Umzumbe 521504 Umuziwabantu 521505 Ezingoleni 521506 Hibiscus Coast 523514 Emnambithi or Ladysmith 555524 Newcastle 555525 Emadlangeni 555526 Dannhauser 556529 Abaqulusi 528538 uMhlathuze 528542 Nkandla 559546 Maphumulo 521560 Vulamehlo 521561 Umdoni 522562 uMshwathi 522563 uMngeni 522564 Mpofana 522565 Impendle 522566 The Msunduzi 522567 Mkhambathini 522568 Richmond 523569 Indaka 523570 Umtshezi 523571 Okhahlamba 523573 Imbabazane 554574 Endumeni 554575 Nqutu 554576 Msinga 554577 Umvoti 556578 eDumbe 556579 Uphongolo 556580 Nongoma 556581 Ulundi 527582 Umhlabuyalingana 527583 Jozini 527584 The Big 5 False Bay 527585 Hlabisa 527586 Mtubatuba 528587 Mfolozi 528588 Ntambanana 528589 uMlalazi 528590 Mthonjaneni 559591 Mandeni 559592 KwaDukuza 559593 Ndwedwe 543594 Ingwe 543595 Kwa Sani 543596 Greater Kokstad 543597 Ubuhlebezwe 543598 Umzimkhulu 599599 eThekwini 637660 Moretele 637661 Madibeng 637662 Rustenburg 637663 Kgetlengrivier 637664 Moses Kotane 638665 Ratlou 638666 Tswaing 638667 Mafikeng 638668 Ditsobotla 638669 Ramotshere Moiloa 639670 Naledi-NW 639671 Mamusa 639672 Greater Taung 639673 Lekwa-Teemane 639674 Kagisano or Molopo 640675 Ventersdorp 640676 Tlokwe City Council 640677 City of Matlosana 640678 Maquassi Hills 742760 Emfuleni 742761 Midvaal 742762 Lesedi 748763 Mogale City 748764 Randfontein 748765 Westonaria 748766 Merafong City 797797 Ekurhuleni 798798 City of Johannesburg 799799 City of Tshwane 830860 Albert Luthuli 830861 Msukaligwa 830862 Mkhondo 830863 Pixley Ka Seme 830864 Lekwa 830865 Dipaleseng 830866 Govan Mbeki 831867 Victor Khanye 831868 Emalahleni-MP 831869 Steve Tshwete 831870 Emakhazeni 831871 Thembisile 831872 Dr JS Moroka 832873 Thaba Chweu 832874 Mbombela 832875 Umjindi 832876 Nkomazi 832877 Bushbuckridge 933960 Greater Giyani 933961 Greater Letaba 933962 Greater Tzaneen 933963 Ba-Phalaborwa 933964 Maruleng 934965 Mutale 934966 Thulamela 934967 Musina 934968 Makhado 935969 Blouberg 935970 Aganang 935973 Molemole 935974 Polokwane 935976 Lepele-Nkumpi 936977 Thabazimbi 936978 Lephalale 936979 Mookgopong 936980 Modimolle 936981 Bela-Bela 936982 Mogalakwena 947983 Ephraim Mogale 947984 Elias Motsoaledi 947985 Makhuduthamaga 947986 Fetakgomo 947987 Greater Tubatse 999998 Unknown 999999 NIU (not in universe) This variable indicates the person's local or metropolitan municipality of usual residence. IPUMS Living in usual residence since October 2011 <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Usual residence</span></p> <p>[3.7.2.11] Has the respondent been staying in this place since October 2011?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Born after October 2011, but never moved<br />[] 4 Born after October 2011 and moved</div> South Africa 2016: Persons with usual residence in South Africa [discrepancies: none] 1 Yes 2 No 3 Born after October 2011, but never moved 4 Born after October 2011 and moved 8 Unknown 9 NIU (not in universe) This variable indicates the person's living in place of usual residence since October 2001. IPUMS Year moved to current residence <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Usual residence</span></p> <p>[3.7.2.12] In which year did the respondent move to this place? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Persons who moved after October 2011 with usual residence in South Africa [discrepancies: none] 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 9998 Unknown 9999 NIU (not in universe) This variable indicates the year in which the person moved to current place of residence. IPUMS Month moved to current residence <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Usual residence</span></p> <p>[3.7.2.13] In which month did the respondent move to this place?</p> <div class="i1">[] 1 January<br />[] 2 February<br />[] 3 March<br />[] 4 April<br />[] 5 May<br />[] 6 June<br />[] 7 July<br />[] 8 August<br />[] 9 September<br />[] 10 October<br />[] 11 November<br />[] 12 December</div> South Africa 2016: Persons who moved after October 2011 with usual residence in South Africa [discrepancies: none] 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) This variable indicates the month in which the person moved to current place of residence. IPUMS Province of previous residence (if moved after October 2011) <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Previous Residence</span></p> <p>[3.7.2.15] In which province did the respondent live before moving to this place?</p> <div class="i1">[] 1 Western Cape<br />[] 2 Eastern Cape<br />[] 3 Northern Cape<br />[] 4 Free State<br />[] 5 Kwazulu-Natal<br />[] 6 North West<br />[] 7 Gauteng<br />[] 8 Mpumalanga<br />[] 9 Limpopo<br />[] 10 Outside South Africa<br />[] 11 Do not know</div> South Africa 2016: Persons who moved after October 2011 with usual residence in South Africa [discrepancies: none] 01 Western Cape 02 Eastern Cape 03 Northern Cape 04 Free State 05 Kwazulu-Natal 06 North West 07 Gauteng 08 Mpumalanga 09 Limpopo 10 Outside South Africa 98 Unknown 99 NIU (not in universe) This variable indicates the person's province of previous residence if they moved after October 2011. IPUMS Province of previous residence <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Previous Residence</span></p> <p>[3.7.2.15] In which province did the respondent live before moving to this place?</p> <div class="i1">[] 1 Western Cape<br />[] 2 Eastern Cape<br />[] 3 Northern Cape<br />[] 4 Free State<br />[] 5 Kwazulu-Natal<br />[] 6 North West<br />[] 7 Gauteng<br />[] 8 Mpumalanga<br />[] 9 Limpopo<br />[] 10 Outside South Africa<br />[] 11 Do not know</div> South Africa 2016: Persons with usual residence in South Africa [discrepancies: none] 01 Western Cape 02 Eastern Cape 03 Northern Cape 04 Free State 05 Kwazulu-Natal 06 North West 07 Gauteng 08 Mpumalanga 09 Limpopo 10 Outside South Africa 98 Unknown 99 NIU (not in universe) This variable indicates the person's province of previous residence. IPUMS District of previous residence <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Previous Residence</span></p> <p>[3.7.2.16] In which local/metropolitan municipality did the respondent live before moving to this place?</p> <div class="i1">[] 1 160 WC011: Matzikama [1]<br />[] 2 161 WC012: Cederberg [1]<br />[] 3 162 WC013: Bergrivier [1]<br />[] 4 163 WC014: Saldanha Bay [1]<br />[] 5 164 WC015: Swartland [1]<br />[] 6 165 WC022: Witzenberg [1]<br />[] 7 166 WC023: Drakenstein [1]<br />[] 8 167 WC024: Stellenbosch [1]<br />[] 9 168 WC025: Breede Valley [1]<br />[] 10 169 WC026: Langeberg [1]<br />[] 11 170 WC034: Swellendam [1]<br />[] 12 171 WC031: Theewaterskloof [1]<br />[] 13 172 WC032: Overstrand [1]<br />[] 14 173 WC033: Cape Agulhas [1]<br />[] 15 174 WC041: Kannaland [1]<br />[] 16 175 WC042: Hessequa [1]<br />[] 17 176 WC043: Mossel Bay [1]<br />[] 18 177 WC044: George [1]<br />[] 19 178 WC045: Oudtshoorn [1]<br />[] 20 179 WC047: Bitou [1]</div> South Africa 2016: Persons with usual residence in South Africa [discrepancies: none] 101 West Coast 102 Cape Winelands 103 Overberg 104 Eden 105 Central Karoo 199 City of Cape Town 210 Cacadu 212 Amathole 213 Chris Hani 214 Joe Gqabi 215 O.R. Tambo 244 Alfred Nzo 260 Buffalo City 299 Nelson Mandela Bay 306 Namakwa 307 Pixley ka Seme 308 Siyanda 309 Frances Baard 345 John Taolo Gaetsewe 416 Xariep 418 Lejweleputswa 419 Thabo Mofutsanyane 420 Fezile Dabi 499 Mangaung 521 Ugu 522 UMgungundlovu 523 Uthukela 527 Umkhanyakude 528 Uthungulu 543 Sisonke 554 Umzinyathi 555 Amajuba 556 Zululand 559 Ilembe 599 eThekwini Metropolitan 637 Bojanala 638 Ngaka Modiri Molema 639 Dr Ruth Segomotsi Mompati 640 Dr Kenneth Kaunda 742 Sedibeng 748 West Rand 797 Ekurhuleni 798 City of Johannesburg 799 City of Tshwane 830 Gert Sibande 831 Nkangala 832 Ehlanzeni 933 Mopani 934 Vhembe 935 Capricorn 936 Waterberg 947 Greater Sekhukhune 997 Outside South Africa 998 Unknown 999 NIU (not in universe) This variable indicates the person's district of previous residence. IPUMS Local or metropolitan municipality of previous residence <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Previous Residence</span></p> <p>[3.7.2.16] In which local/metropolitan municipality did the respondent live before moving to this place?</p> <div class="i1">[] 1 160 WC011: Matzikama [1]<br />[] 2 161 WC012: Cederberg [1]<br />[] 3 162 WC013: Bergrivier [1]<br />[] 4 163 WC014: Saldanha Bay [1]<br />[] 5 164 WC015: Swartland [1]<br />[] 6 165 WC022: Witzenberg [1]<br />[] 7 166 WC023: Drakenstein [1]<br />[] 8 167 WC024: Stellenbosch [1]<br />[] 9 168 WC025: Breede Valley [1]<br />[] 10 169 WC026: Langeberg [1]<br />[] 11 170 WC034: Swellendam [1]<br />[] 12 171 WC031: Theewaterskloof [1]<br />[] 13 172 WC032: Overstrand [1]<br />[] 14 173 WC033: Cape Agulhas [1]<br />[] 15 174 WC041: Kannaland [1]<br />[] 16 175 WC042: Hessequa [1]<br />[] 17 176 WC043: Mossel Bay [1]<br />[] 18 177 WC044: George [1]<br />[] 19 178 WC045: Oudtshoorn [1]<br />[] 20 179 WC047: Bitou [1]</div> South Africa 2016: Persons with usual residence in South Africa [discrepancies: none] 101160 Matzikama 101161 Cederberg 101162 Bergrivier 101163 Saldanha Bay 101164 Swartland 102165 Witzenberg 102166 Drakenstein 102167 Stellenbosch 102168 Breede Valley 102169 Langeberg 103170 Swellendam 103171 Theewaterskloof 103172 Overstrand 103173 Cape Agulhas 104174 Kannaland 104175 Hessequa 104176 Mossel Bay 104177 George 104178 Oudtshoorn 104179 Bitou 104180 Knysna 105181 Laingsburg 105182 Prince Albert 105183 Beaufort West 199199 City of Cape Town 260260 Buffalo City 210261 Camdeboo 210262 Blue Crane Route 210263 Ikwezi 210264 Makana 210265 Ndlambe 210266 Sundays River Valley 210267 Baviaans 210268 Kouga 210269 Kou-Kamma 212270 Mbhashe 212271 Mnquma 212272 Great Kei 212273 Amahlathi 212274 Ngqushwa 212276 Nkonkobe 212277 Nxuba 213278 Inxuba Yethemba 213279 Tsolwana 213280 Inkwanca 213281 Lukanji 213282 Intsika Yethu 213283 Emalahleni-EC 213284 Engcobo 213285 Sakhisizwe 214286 Elundini 214287 Senqu 214288 Maletswai 214289 Gariep 215290 Ngquza Hill 215291 Port St Johns 215292 Nyandeni 215293 Mhlontlo 215294 King Sabata Dalindyebo 244295 Matatiele 244296 Umzimvubu 244297 Mbizana 244298 Ntabankulu 299299 Nelson Mandela Bay 345360 Joe Morolong 345361 Ga-Segonyane 345362 Gamagara 306363 Richtersveld 306364 Nama Khoi 306365 Kamiesberg 306366 Hantam 306367 Karoo Hoogland 306368 KhMa 307369 Ubuntu 307370 Umsobomvu 307371 Emthanjeni 307372 Kareeberg 307373 Renosterberg 307374 Thembelihle 307375 Siyathemba 307376 Siyancuma 308377 Mier 308378 Kai Garib 308379 Khara Hais 308380 Kheis 308381 Tsantsabane 308382 Kgatelopele 309383 Sol Plaatjie 309384 Dikgatlong 309385 Magareng 309386 Phokwane 416460 Letsemeng 416461 Kopanong 416462 Mohokare 416463 Naledi-FS 418464 Masilonyana 418465 Tokologo 418466 Tswelopele 418467 Matjhabeng 418468 Nala 419469 Setsoto 419470 Dihlabeng 419471 Nketoana 419472 Maluti a Phofung 419473 Phumelela 419474 Mantsopa 420475 Moqhaka 420477 Ngwathe 420478 Metsimaholo 420479 Mafube 499499 Mangaung 521503 Umzumbe 521504 Umuziwabantu 521505 Ezingoleni 521506 Hibiscus Coast 523514 Emnambithi or Ladysmith 555524 Newcastle 555525 Emadlangeni 555526 Dannhauser 556529 Abaqulusi 528538 uMhlathuze 528542 Nkandla 559546 Maphumulo 521560 Vulamehlo 521561 Umdoni 522562 uMshwathi 522563 uMngeni 522564 Mpofana 522565 Impendle 522566 The Msunduzi 522567 Mkhambathini 522568 Richmond 523569 Indaka 523570 Umtshezi 523571 Okhahlamba 523573 Imbabazane 554574 Endumeni 554575 Nqutu 554576 Msinga 554577 Umvoti 556578 eDumbe 556579 Uphongolo 556580 Nongoma 556581 Ulundi 527582 Umhlabuyalingana 527583 Jozini 527584 The Big 5 False Bay 527585 Hlabisa 527586 Mtubatuba 528587 Mfolozi 528588 Ntambanana 528589 uMlalazi 528590 Mthonjaneni 559591 Mandeni 559592 KwaDukuza 559593 Ndwedwe 543594 Ingwe 543595 Kwa Sani 543596 Greater Kokstad 543597 Ubuhlebezwe 543598 Umzimkhulu 599599 eThekwini 637660 Moretele 637661 Madibeng 637662 Rustenburg 637663 Kgetlengrivier 637664 Moses Kotane 638665 Ratlou 638666 Tswaing 638667 Mafikeng 638668 Ditsobotla 638669 Ramotshere Moiloa 639670 Naledi-NW 639671 Mamusa 639672 Greater Taung 639673 Lekwa-Teemane 639674 Kagisano or Molopo 640675 Ventersdorp 640676 Tlokwe City Council 640677 City of Matlosana 640678 Maquassi Hills 742760 Emfuleni 742761 Midvaal 742762 Lesedi 748763 Mogale City 748764 Randfontein 748765 Westonaria 748766 Merafong City 797797 Ekurhuleni 798798 City of Johannesburg 799799 City of Tshwane 830860 Albert Luthuli 830861 Msukaligwa 830862 Mkhondo 830863 Pixley Ka Seme 830864 Lekwa 830865 Dipaleseng 830866 Govan Mbeki 831867 Victor Khanye 831868 Emalahleni-MP 831869 Steve Tshwete 831870 Emakhazeni 831871 Thembisile 831872 Dr JS Moroka 832873 Thaba Chweu 832874 Mbombela 832875 Umjindi 832876 Nkomazi 832877 Bushbuckridge 933960 Greater Giyani 933961 Greater Letaba 933962 Greater Tzaneen 933963 Ba-Phalaborwa 933964 Maruleng 934965 Mutale 934966 Thulamela 934967 Musina 934968 Makhado 935969 Blouberg 935970 Aganang 935973 Molemole 935974 Polokwane 935976 Lepele-Nkumpi 936977 Thabazimbi 936978 Lephalale 936979 Mookgopong 936980 Modimolle 936981 Bela-Bela 936982 Mogalakwena 947983 Ephraim Mogale 947984 Elias Motsoaledi 947985 Makhuduthamaga 947986 Fetakgomo 947987 Greater Tubatse 999997 Outside South Africa 999998 Unknown 999999 NIU (not in universe) This variable indicates the person's local or metropolitan municipality of previous residence. IPUMS Main reason for moving to place of usual residence <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.2] Migration</span> <br />Now, I am going to ask you some questions on migration. Migration is the movement of people from one area/place to another.</p> <p><span class="em">Previous Residence</span></p> <p>[3.7.2.18] What was the main reason for the respondent to move to this place?</p> <div class="i1">[] 1 Divorce/separation<br />[] 2 Education [e.g. studying, schooling, training]<br />[] 3 For better municipal services<br />[] 4 Health [e.g. poor/ill health]<br />[] 5 High levels of crime<br />[] 6 Job loss/retrenchment/contract ended<br />[] 7 Job transfer/take up new job opportunity<br />[] 8 Look for paid work<br />[] 9 Moving as a household to accompany a household member [for health, education, employment etc.]<br />[] 10 Moving to live with or be closer to spouse [marriage], family, friends, partner<br />[] 11 New dwelling for household<br />[] 12 Other business reasons [e.g. expansion of business]<br />[] 13 Political instability/religious conflict/persecution<br />[] 14 Retirement<br />[] 15 Start a business<br />[] 16 Other<br />[] 17 Do not know</div> South Africa 2016: Persons who moved since October 2011 and with usual residence in South Africa [discrepancies: none] 01 Divorce or separation 02 Education (e.g.studying, schooling, training) 03 For better municipal services 04 Health (e.g poor or ill health) 05 High levels of crime 06 Job loss, retrenchment or contract ended 07 Job transfer or take up new job opportunity 08 Look for paid work 09 Moving as a household with a household member (for health, education, employment etc.) 10 Moving to live with or be closer to spouse (marriage), family, friends, partner 11 New dwelling for household 12 Other business reasons(e.g.expansion of business) 13 Political instability, religious conflict or persecution 14 Retirement 15 Start a business 16 Other 17 Do not know 98 Unknown 99 NIU (not in universe) This variable indicates the main reason for moving to place of usual residence. IPUMS Difficulty in seeing <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p>[3.7.3.2] Does the respondent have difficulty seeing [even with glasses/contact lenses, if he/she wears them]?</p> <div class="i1">[] 1 No difficulty<br />[] 2 Some difficulty<br />[] 3 A lot of difficulty<br />[] 4 Cannot do at all<br />[] 5 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Can not do at all 5 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person has difficulty in seeing. IPUMS Difficulty in hearing <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p>[3.7.3.3] Does the respondent have difficulty hearing [even with a hearing aid, if he/she wears one]?</p> <div class="i1">[] 1 No difficulty<br />[] 2 Some difficulty<br />[] 3 A lot of difficulty<br />[] 4 Cannot do at all<br />[] 5 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 5 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person has difficulty in hearing. IPUMS Difficulty in communicating <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p>[3.7.3.4] Does the respondent have difficulty communicating in his/her usual language [i.e. understanding others or being understood by others]?</p> <div class="i1">[] 1 No difficulty<br />[] 2 Some difficulty<br />[] 3 A lot of difficulty<br />[] 4 Cannot do at all<br />[] 5 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 5 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person has difficulty in communicating. IPUMS Difficulty in walking <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p>[3.7.3.5] Does the respondent have difficulty walking a kilometer [length of 10 soccer fields] or climbing a flight of steps?</p> <div class="i1">[] 1 No difficulty<br />[] 2 Some difficulty<br />[] 3 A lot of difficulty<br />[] 4 Cannot do at all<br />[] 5 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 5 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person has difficulty in walking. IPUMS Difficulty remembering <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p>[3.7.3.6] Does the respondent have difficulty remembering or concentrating?</p> <div class="i1">[] 1 No difficulty<br />[] 2 Some difficulty<br />[] 3 A lot of difficulty<br />[] 4 Cannot do at all<br />[] 5 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 5 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person has difficulty remembering. IPUMS Difficulty with self-care <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p>[3.7.3.7] Does the respondent have difficulty with self-care such as washing, dressing or feeding him/herself?</p> <div class="i1">[] 1 No difficulty<br />[] 2 Some difficulty<br />[] 3 A lot of difficulty<br />[] 4 Cannot do at all<br />[] 5 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 No difficulty 2 Some difficulty 3 A lot of difficulty 4 Cannot do at all 5 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person has difficulty with self-care. IPUMS Uses eyeglasses, spectacles or contact lenses <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p><span class="em">Assistive devices/aids </span></p> <p>[3.7.3.9] Does the respondent use eye glasses/spectacles/contact lenses?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person uses eyeglasses, spectacles or contact lenses. IPUMS Uses a hearing aid <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p><span class="em">Assistive devices/aids </span></p> <p>[3.7.3.10] Does the respondent use a hearing aid?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person uses a hearing aid. IPUMS Uses a walking stick, walking frame, or crutches <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p><span class="em">Assistive devices/aids </span></p> <p>[3.7.3.11] Does the respondent use a walking stick, walking frame or crutches?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person uses a walking stick, walking frame or crutches. IPUMS Uses a wheelchair <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p><span class="em">Assistive devices/aids </span></p> <p>[3.7.3.12] Does the respondent use a wheelchair?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person uses a wheelchair. IPUMS Uses any other assistive device or aid <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.3] General health and functioning </span> <br />Now, I am going to ask you health-related questions.</p> <p><span class="em">Assistive devices/aids </span></p> <p>[3.7.3.13] Does the respondent use any other assistive device/aid?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Persons age 5+ [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the person uses any other assistive device or aid. IPUMS Biological mother alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.4] Parental survival</span> <br />Now, I am going to ask you questions on the survival status of parents.</p> <p>[3.7.4.2] Is the respondent's own biological mother still alive?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All persons 1 Yes 2 No 3 Do not know 9 Unknown This variable indicates whether the person's biological mother is alive. IPUMS Year in which biological mother passed away <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.4] Parental survival</span> <br />Now, I am going to ask you questions on the survival status of parents.</p> <p>[3.7.4.3] In which year did the respondent's biological mother pass away? ____ South Africa 2016: Persons whose biological mother is not alive [discrepancies: none] 1924 1924 or before 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 9998 Unknown 9999 NIU (not in universe) This variable indicates the year in which the person's biological mother passed away. IPUMS Biological mother is household member <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.4] Parental survival</span> <br />Now, I am going to ask you questions on the survival status of parents.</p> <p>[3.7.4.4] Is the respondent's biological mother a member of this household?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> South Africa 2016: Persons whose biological mother is still alive [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person's biological mother is member of the household. IPUMS Person number of biological mother <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.4] Parental survival</span> <br />Now, I am going to ask you questions on the survival status of parents.</p> <p>[3.7.4.5] Who in this household is the respondent's biological mother? ____ South Africa 2016: Persons whose biological mother is still alive and lives in the household [discrepancies: 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 21 21 22 22 23 23 24 24 32 32 33 33 42 42 98 Unknown 99 NIU (not in universe) This variable indicates the person number of biological mother. IPUMS Biological father alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.4] Parental survival</span> <br />Now, I am going to ask you questions on the survival status of parents.</p> <p>[3.7.4.6] Is the respondent's own biological father still alive?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All persons 1 Yes 2 No 3 Do not know 9 Unknown This variable indicates whether the person's biological father alive. IPUMS Year in which biological father passed away <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.4] Parental survival</span> <br />Now, I am going to ask you questions on the survival status of parents.</p> <p>[3.7.4.7] In which year did the respondent's biological father pass away? ____ South Africa 2016: Persons whose biological father is not alive [discrepancies: none] 1927 1927 or before 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 9998 Unknown 9999 NIU (not in universe) This variable indicates the year in which biological father passed away. IPUMS Biological father is household member <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.4] Parental survival</span> <br />Now, I am going to ask you questions on the survival status of parents.</p> <p>[3.7.4.8] Is the respondent's biological father a member of this household?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> South Africa 2016: Persons whose biological father is still alive [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person's biological father is member of the household. IPUMS Person number of biological father <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.4] Parental survival</span> <br />Now, I am going to ask you questions on the survival status of parents.</p> <p>[3.7.4.9] Who in this household is the respondent's biological father? ____ South Africa 2016: Persons whose biological father who is still alive and lives in the household [discrepancies: 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 22 22 25 25 27 27 98 Unknown 99 NIU (not in universe) This variable indicates the person number of the respondant's biological father. IPUMS Currently attending school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.2] Is the respondent currently attending an educational institution?</p> <div class="i1">For example, school, home school/home-based education, Early Childhood Development Centre [ECD] [e.g. day care, creche, pre-school, nursery school or preprimary school], distance or correspondence education. Only include courses of 6 months or longer.<br /><br />[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: All persons 1 Yes 2 No 3 Do not know 9 Unknown This variable indicates whether the person is currently attending a school. IPUMS Educational institution type <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.3] Which of the following educational institutions does the respondent attend?</p> <div class="i1">[] 1 Pre-school [incl. ECD centre, e.g. day care, crèche, playgroup, nursery school, Grade RR or pre-primary school]<br />[] 2 Primary school [Grade R to 7]<br />[] 3 Secondary school [Grade 8 to 12]<br />[] 4 Technical vocational education and training [TVET], formerly known as Further education and training colleges [FET], including private colleges<br />[] 5 Other college [including private and public nursing college, agricultural college and police college]<br />[] 6 Higher educational institution [including university/university of technology and private higher educational institution]<br />[] 7 Community education and training college [including adult education and training learning centre [AET], formerly known as ABET]<br />[] 8 Home-based education/home schooling<br />[] 9 Other<br />[] 10 Do not know</div> South Africa 2016: Persons attending school [discrepancies: none] 01 Pre-school (including ECD centre, e.g. day care, creche, playgroup, nursery school, Grade RR or pre-primary school) 02 Primary school (grade R to 7) 03 Secondary school (grade 8 to 12) 04 Technical vocational education and training (TVET), formerly known as Further Education and Training Colleges (FET), including private colleges 05 Other college (including Private and Public Nursing College, Agricultural College and Police College) 06 Higher educational institution (including University, University of Technology and Private Higher Educational Institution 07 Community education and training college (including Adult Education and Training Learning Centre (AET), formerly know as ABET) 08 Home-based education or home schooling 09 Other 10 Do not know 98 Unknown 99 NIU (not in universe) This variable indicates the educational institution type the person is attending. IPUMS Public or private educational institution <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.4] Is the institution that the respondent is attending public or private?</p> <div class="i1">[] 1 Public [government]<br />[] 2 Private [independent]<br />[] 3 Do not know</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Public (government) 2 Private (independent) 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the educational institution the person is attending is a public or private institution. IPUMS Walks to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">1 Walking</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person walks as mode of transportation to go to school. IPUMS Rides bicycle to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">2 Bicycle</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses a bicycle as mode of transportation the person to go to school. IPUMS Rides motorcycle or scooter to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">3 Motorcycle/scooter</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses a motorcycle or scooter as mode of transportation to go to school. IPUMS Takes minibus taxi or sedan taxi to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">4 Minibus taxi/sedan taxi</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses minibus taxis or sedan taxis as mode of transportation to go to school. IPUMS Takes bakkie taxi to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">5 Bakkie taxi</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses bakkie taxis as mode of transportation to go to school. IPUMS Takes metered taxi to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">6 Metered taxi</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses metered taxis as mode of transportation to go to school. IPUMS Takes public bus to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">7 Bus [public]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses public buses as mode of transportation to go to school. IPUMS Takes train to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">8 Train [Metrorail, Gautrain]</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses trains as mode of transportation to go to school. IPUMS Takes vehicle provided by the institution to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">9 Vehicle provided by the institution</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses a vehicle provided by the institution as mode of transportation to go to school. IPUMS Takes vehicle provided by government (not paid) to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">10 Vehicle provided the government and not paid for</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses vehicle provided by government and not paid for as mode of transportation to go to school. IPUMS Takes vehicle hired by a group of parents or students to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">11 Vehicle hired by a group of parents/students</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses vehicle hired by a group of parents or students as mode of transportation to go to school. IPUMS Takes own car or private vehicle to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">12 Own car/private vehicle</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses own car or private vehicle as mode of transportation to go to school. IPUMS Takes animal-drawn transport or animals to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">13 Animal-drawn transport/use of animals, such as horseback</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses animal-drawn transport or use of animals as mode of transportation to go to school. IPUMS Uses other mode of transportation to school <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.5] Which of the following mode(s) of transport does the respondent usually use to get to the educational institution that he/she attends?</p> <div class="i1">14 Other</div><div class="i2">[] Yes<br />[] No</div> South Africa 2016: Persons attending school [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates if the person uses other type of transportation to go to school. IPUMS Highest level of education <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.7] What is the highest level of education that the respondent has successfully completed?</p> <div class="i1">[] 98 No schooling<br />[] 0 Grade R/O<br />[] 1 Grade 1/Sub A/Class 1<br />[] 2 Grade 2/Sub B/Class 2<br />[] 3 Grade 3/Standard 1/ABET 1<br />[] 4 Grade 5/Standard 2<br />[] 5 Grade 5/Standard 3/ABET 2<br />[] 6 Grade 6/Standard 4<br />[] 7 Grade 7/Standard 5/ABET 3<br />[] 8 Grade 8/Standard 6/Form 1<br />[] 9 Grade 9/Standard 7/Form 2/ABET 4/Occupational certificate NQF level 1<br />[] 10 Grade 10/Standard 8/Form 3/NCV level 2/Occupational certificate NQF level 2<br />[] 11 Grade 11/Standard 9/Form 4/NCV level 3/Occupational certificate NQF level 3<br />[] 12 Grade 12/Standard 10/Form 5/Matric/NCV level 4/Occupational certificate NQF level 4<br />[] 13 NTC I/N1<br />[] 14 NTC II/N2<br />[] 15 NTC III/N3<br />[] 16 N4/NTC 4/Occupational certificate NQF level 5<br />[] 17 N5/NTC 5/Occupational certificate NQF level 5<br />[] 18 N6/NTC 6/Occupational certificate NQF level 5</div> South Africa 2016: All persons 00 Grade 0 01 Grade 1 or sub A or Class 1 02 Grade 2 or sub B or Class 2 03 Grade 3 or standard 1 or ABET 1 04 Grade 4 or standard 2 05 Grade 5 or standard 3 or ABET 2 06 Grade 6 or standard 4 07 Grade 7 or standard 5 or ABET 3 08 Grade 8 or standard 6 or Form 1 09 Grade 9 or standard 7 or Form 2 or ABET 4 or occupational certificate NQF Level 1 10 Grade 10 or standard 8 or Form 3 or occupational certificate NQF Level 2 11 Grade 11 or standard 9 or Form 4 or NCV level 3 or occupational certifificate NQF level 3 12 Grade 12 or standard 10 or form 5 or matric or NCV level 4 or occupational certificate NQF level 4 13 NTC I or N1 14 NTCII or N2 15 NTCIII or N3 16 N4 or NTC 4 or occupational certificate NQF level 5 17 N5 or NTC 5 or occupational certificate NQF level 5 18 N6 or NTC 6 or occupational certificate NQF level 5 19 Certificate with less than grade 12 or Std 10 20 Diploma with less than grade 12 or Std 10 21 Higher or national or advanced certificate with grade 12 or occupation certificate NQF 22 Diploma with grade 12 or standard 10 or occupational certificate NQF Level 6 23 Higher diploma or occupational certificate NQF Level 7 24 Post-higher diploma (master's, doctoral diploma) 25 Bachelor's degree or occupational certificate NQF Level 7 26 Honours degree or post-graduate diploma or occupational certificate NQF Level 8 27 Master's or professional master's at NQF level 9 degree 28 Ph.D. (doctoral degree or professional doctoral degree at NQF Level 10) 29 Other 30 No schooling 99 Unknown This variable indicates person's highest level of education. IPUMS Type of education institution <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.8] What type of institution did the respondent obtain this qualification?</p> <div class="i1">[] 1 Higher education institution [University/University of technology]<br />[] 2 TVET [formerly FET]/Private colleges</div> South Africa 2016: Persons with post-secondary education [discrepancies: type I 0.4%; type II trace] 1 Higher education institution (University or University of technology) 2 TVET (formerly FET) or private colleges 8 Unknown 9 NIU (not in universe) This variable indicates the type of institution where the person obtained the highest level of education. IPUMS Field of qualification <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.9] In which field of education [at university/university of technology] is the respondent's highest post-school qualification? </p> <div class="i1">[] 1 Agriculture, agricultural operations and related science<br />[] 2 Architecture and the built environment<br />[] 3 Visual and performing arts<br />[] 4 Business, economics and management studies<br />[] 5 Communication, journalism and related studies<br />[] 6 Computer and information sciences<br />[] 7 Education<br />[] 8 Engineering<br />[] 9 Health professions and related clinical sciences<br />[] 10 Family ecology and consumer sciences<br />[] 11 Languages, linguistics and literature<br />[] 12 Law<br />[] 13 Life sciences<br />[] 14 Physical sciences<br />[] 15 Mathematics and statistics<br />[] 16 Military sciences<br />[] 17 Philosophy, religion and theology<br />[] 18 Psychology<br />[] 19 Public management and services<br />[] 20 Social sciences</div> South Africa 2016: Persons with post-secondary education who studied at a higher education institution [discrepancies: none] 01 Agriculture 02 Architecture and the built environment 03 Arts (Visual and performing arts) 04 Business 05 Communication 06 Computer and information sciences 07 Education 08 Engineering 09 Health professions and related clinical sciences 10 Family ecology and consumer sciences 11 Languages 12 Law 13 Life sciences 14 Physical sciences 15 Mathematics and statistics 16 Military sciences 17 Philosophy 18 Psychology 19 Public management and services 20 Social sciences 21 Other 22 Do not know 98 Unknown 99 NIU (not in universe) This variable indicates the person's field of the highest post-school qualification. IPUMS Field of technical or vocational education and training (TVET) <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.5] Education </span> <br />Now, I am going to ask you questions on education.</p> <p>[3.7.5.10] In which field of education [in TVET (formerly FET) or private colleges] is the respondent's highest post-school qualification? </p> <div class="i1">[] 1 Management<br />[] 2 Marketing<br />[] 3 Information technology and computer science<br />[] 4 Finance, economics and accounting<br />[] 5 Office administration<br />[] 6 Electrical infrastructure construction<br />[] 7 Civil engineering and building construction<br />[] 8 Engineering<br />[] 9 Primary agriculture<br />[] 10 Hospitality<br />[] 11 Tourism<br />[] 12 Safety in society<br />[] 13 Mechatronics<br />[] 14 Education and development<br />[] 15 Other<br />[] 16 Do not know</div> South Africa 2016: Persons with post-secondary education who studied at a TVET or private college [discrepancies: none] 01 Management 02 Marketing 03 Information technology and computer science 04 Finance 05 Office administration 06 Electrical infrastructure construction 07 Civil engineering and building construction 08 Engineering 09 Primary agriculture 10 Hospitality 11 Tourism 12 Safety in soceity 13 Mechatronics 14 Education and development 15 Other 16 Do not know 98 Unknown 99 NIU (not in universe) This variable indicates the person's field of technical or vocational education and training (tvet). IPUMS Ever had live births <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.2] Has the respondent ever given birth to a live child, even if the child died soon after birth?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Females age 12 to 50 [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the woman has given birth to a live child. IPUMS Total number of children still alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.3] How many of the respondent's children are still alive? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) This variable reports the number of the woman's children who were still living at the time of the census. IPUMS Total number of boys still alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.3] How many of the respondent's children are still alive? _ _ _ _ _ _ _ _ _ _</p> <p>[3.7.8.4] How many are boys? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 99 NIU (not in universe) This variable reports the number of the woman's boys who were still living at the time of the census. IPUMS Total number of girls still alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.3] How many of the respondent's children are still alive? _ _ _ _ _ _ _ _ _ _</p> <p>[3.7.8.5] How many are girls? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 99 NIU (not in universe) This variable reports the number of girls born to the woman who were still living at the time of the census. IPUMS Total number of children no longer alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.6] How many of the respondent's children are no longer alive? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 99 NIU (not in universe) This variable reports how many of the children ever born to the woman were no longer living at the time of the census. IPUMS Total number of boys no longer alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.6] How many of the respondent's children are no longer alive? _ _ _ _ _ _ _ _ _ _</p> <p>[3.7.8.7] How many are boys? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 00 01 1 02 2 03 3 04 4 05 5+ 99 NIU (not in universe) This variable reports how many of the boys ever born to the woman were no longer living at the time of the census. IPUMS Total number of girls no longer alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.6] How many of the respondent's children are no longer alive? _ _ _ _ _ _ _ _ _ _</p> <p>[3.7.8.8] How many are girls? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 00 01 1 02 2 03 3 04 4 05 5+ 99 NIU (not in universe) This variable reports how many of the girls ever born to the woman were no longer living at the time of the census. IPUMS Total number of children born alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.9] How many children has the respondent ever given birth to that were born alive? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: 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+ 99 NIU (not in universe) This variable reports the number of children ever born to each woman of whom the question was asked . IPUMS Total number of boys born alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.9] How many children has the respondent ever given birth to that were born alive? _ _ _ _ _ _ _ _ _ _</p> <p>[3.7.8.10] How many are boys? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) This variable reports the number of boys ever born to the woman. IPUMS Total number of girls born alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.9] How many children has the respondent ever given birth to that were born alive? _ _ _ _ _ _ _ _ _ _</p> <p>[3.7.8.11] How many are girls? _ _ _ _ _ _ _ _ _ _ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) This variable reports the number of girls ever born to each woman of whom the question was asked . IPUMS Year of birth of last child born <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.12] When was the respondent's last child born? ____ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 9998 Unknown 9999 NIU (not in universe) This variable indicates the year of birth of the woman's last child born. IPUMS Month of birth of last child born <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.12] When was the respondent's last child born? ____ South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) This variable indicates the month of birth of the woman's last child born. IPUMS Sex of last child born <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.13] Is the respondent's last child born male or female?</p> <div class="i1">[] 1 Male<br />[] 2 Female<br />[] 3 Do not know</div> South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 1 Male 2 Female 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates the sex of the woman's last child born. IPUMS Breastfeeding last child <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.14] Did the respondent breastfeed her last child?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the woman breastfed her last child. IPUMS Length of time breastfeeding last child <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.15] How long did the respondent breastfeed her last child?</p> <div class="i1">[] 1 Less than 6 months<br />[] 2 6 to 12 months<br />[] 3 More than one year<br />[] 4 Do not know</div> South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 1 Less than 6 months 2 6 to 12 months 3 More than one year 4 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates the length of time the woman breastfed her last child. IPUMS Last child born still alive <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.16] Is the respondent's last child born still alive?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div> South Africa 2016: Females age 12 to 50 who ever gave birth [discrepancies: none] 1 Yes 2 No 3 Do not know 8 Unknown 9 NIU (not in universe) This variable indicates whether the woman's last child born is still alive. IPUMS Year of death of last child born <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.17] When did the respondent's last child born die? ____ South Africa 2016: Females age 12 to 50 whose last birth is not alive [discrepancies: type I none; type II trace] 1985 1985 or before 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 9998 Unknown 9999 NIU (not in universe) This variable indicates the year of death of the woman's last child born. IPUMS Month of death of last child born <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.17] When did the respondent's last child born die? ____ South Africa 2016: Females age 12 to 50 whose last birth is not alive [discrepancies: type I none; type II trace] 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) This variable indicates the month of death of the woman's last child born. IPUMS Births in the last 12 months <span class="h2">3. Person information </span></p> <p><span class="em">[3.7] Household members </span></p> <p><span class="em">[3.7.8] Fertility </span> <br />Now, I am going to ask you questions about your biological children.</p> <p>[3.7.8.12] When was the respondent's last child born? ____ South Africa 2016: Females age 12 to 50 [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the woman has given birth in the last 12 months IPUMS Person weight South Africa 2016: All persons This variable indicates the person's weight. This is a 12-digit numeric variable with 9 implied decimal places IPUMS Weight South Africa 2016: All persons This variable indicates the person's weight. This is a 12-digit numeric variable with 9 implied decimal places IPUMS