Population and Housing CensusDDI_LSO_2006_PHC_v01_M_v7.5_A_IPUMSIPUMS
Integrated Public Use Microdata Series (IPUMS) International
IPUMSMay 21, 2024IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455Organization for Economic Co-operation and Development, Development Co-operation DirectorateJADE#:60525;MEHLB(2010)12IPUMSVersion 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.Population and Housing Census - IPUMS SubsetPHC Lesotho 2006 (IPUMS Harmonized Subset)LSO_2006_PHC_v01_M_v7.5_A_IPUMSBureau of StatisticsIPUMS(c) Copyright 2006, Bureau of Statistics and Minnesota Population CenterBureau of StatisticsPopulation and Housing Census [hh/popcen]IPUMS InternationalDOI:10.18128/D020.V7.5Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.Demographic Variables -- PERSONOther Household Variables -- HOUSEHOLDGeography: Global Variables -- HOUSEHOLDAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDFertility and Mortality Variables -- PERSONNativity and Birthplace Variables -- PERSONUtilities Variables -- HOUSEHOLDWork Variables -- PERSONTechnical Household Variables -- HOUSEHOLDGeography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLDDisability Variables -- PERSONEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONDwelling Characteristics Variables -- HOUSEHOLDGeography: F-N Variables -- HOUSEHOLDMigration: Global Variables -- PERSONGroup Quarters Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDMigration: F-N Variables -- PERSONTechnical Person Variables -- PERSONTechnical Household Variables -- HOUSEHOLDAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDGeography: Global Variables -- HOUSEHOLDDemographic Variables -- PERSONTechnical Person Variables -- PERSONDwelling Characteristics Variables -- HOUSEHOLDEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONUtilities Variables -- HOUSEHOLDGroup Quarters Variables -- HOUSEHOLDGeography: F-N Variables -- HOUSEHOLDHousehold Economic Variables -- HOUSEHOLDOther Household Variables -- HOUSEHOLDFertility and Mortality Variables -- PERSONMigration: Global Variables -- PERSONMigration: Global Variables -- PERSONNativity and Birthplace Variables -- PERSONDisability Variables -- PERSONEducation Variables -- PERSONWork Variables -- PERSONWork: Occupation Variables -- PERSONWork: Industry Variables -- PERSONOther Person Variables -- PERSONFertility and Mortality Variables -- PERSONApril 8, 2006Two weeks from census dayLesothoConstituencyPersons and households
UNITS IDENTIFIED:
- Dwellings: no
- Vacant Units: No
- Households: yes
- Individuals: yes
- Group quarters: no
UNIT DESCRIPTIONS:
- Dwellings: no
- Households: A household is one person or a group of persons who live together and have common catering arrangements, whether or not they are related by blood or marriage. If two or more groups of persons live in the same dwelling unit and have separate living and eating arrangements, treat them as separate households.
- Group quarters: noAll persons present in the country on census day Population and Housing Census [hh/popcen]Additional notes on a sample that is part of this study: Lesotho 2006
MICRODATA SOURCE: Bureau of Statistics
SAMPLE SIZE (person records): 180208.
SAMPLE DESIGN: Systematic sample of every tenth dwelling drawn by IPUMS from 100% microdata
Face-to-face [f2f]A single census form for dwellings and personsboth, CENSUS DAY: April 8, 2006Self-weighting (expansion factor=10)IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.
To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following:
(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.
(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.
(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)
(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.
The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record.Bureau of Statistics. Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.18128/D020.V7.5
Researchers should also acknowledge the statistical agency that originally produced the data: Lesotho, Bureau of Statistics. Population and Housing Census
The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.
Copies of such materials are also gratefully received at ipums@umn.edu.
Printed matter should be sent to:
IPUMS International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455
An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions:
IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.User-provided description: DOI:10.18128/D020.V7.5 Extract for ls2006a, 2024LSO2006_PHC-H-H.datHousehold records41,726asciiMinnesota Population CenterVersion 7.5, IPUMS sampleLSO2006_PHC-P-H.datPerson records180208asciiMinnesota Population CenterVersion 7.5, IPUMS sampleRecord typeRECTYPE 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.HHouseholdPPersonTechnical Household Variables -- HOUSEHOLDCountryCOUNTRY 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).032Argentina051Armenia040Austria050Bangladesh112Belarus204Benin068Bolivia072Botswana076Brazil854Burkina Faso116Cambodia120Cameroon124Canada152Chile156China170Colombia188Costa Rica192Cuba208Denmark214Dominican Republic218Ecuador818Egypt222El Salvador231Ethiopia242Fiji246Finland250France276Germany288Ghana300Greece320Guatemala324Guinea332Haiti340Honduras348Hungary352Iceland356India360Indonesia364Iran368Iraq372Ireland376Israel380Italy384Ivory Coast388Jamaica400Jordan404Kenya417Kyrgyz Republic418Laos426Lesotho430Liberia454Malawi458Malaysia466Mali480Mauritius484Mexico496Mongolia504Morocco508Mozambique104Myanmar524Nepal528Netherlands558Nicaragua566Nigeria578Norway586Pakistan275Palestine591Panama598Papua New Guinea600Paraguay604Peru608Philippines616Poland620Portugal630Puerto Rico642Romania643Russia646Rwanda662Saint Lucia686Senegal694Sierra Leone703Slovak Republic705Slovenia710South Africa728South Sudan724Spain729Sudan740Suriname752Sweden756Switzerland834Tanzania764Thailand768Togo780Trinidad and Tobago792Turkey800Uganda804Ukraine826United Kingdom840United States858Uruguay862Venezuela704Vietnam894Zambia716ZimbabweTechnical Household Variables -- HOUSEHOLDYearYEAR 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.170317031729172917871787180118011819181918451845184818481850185018511851185218521860186018611861186518651868186818701870187118711875187518801880188118811885188518901890189118911900190019011901191019101911191119601960196119611962196219631963196419641966196619681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871989198919901990199119911992199219931993199419941995199519961996199719971998199819991999200020002001200120022002200320032004200420052005200620062007200720082008200920092010201020112011201220122013201320142014201520152016201620172017201820182019201920202020Technical Household Variables -- HOUSEHOLDIPUMS sample identifierSAMPLE 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).
032197001Argentina 1970032198001Argentina 1980032199101Argentina 1991032200101Argentina 2001032201001Argentina 2010051200101Armenia 2001051201101Armenia 2011040197101Austria 1971040198101Austria 1981040199101Austria 1991040200101Austria 2001040201101Austria 2011050199101Bangladesh 1991050200101Bangladesh 2001050201101Bangladesh 2011112199901Belarus 1999112200901Belarus 2009204197901Benin 1979204199201Benin 1992204200201Benin 2002204201301Benin 2013068197601Bolivia 1976068199201Bolivia 1992068200101Bolivia 2001068201201Bolivia 2012072198101Botswana 1981072199101Botswana 1991072200101Botswana 2001072201101Botswana 2011076196001Brazil 1960076197001Brazil 1970076198001Brazil 1980076199101Brazil 1991076200001Brazil 2000076201001Brazil 2010854198501Burkina Faso 1985854199601Burkina Faso 1996854200601Burkina Faso 2006116199801Cambodia 1998116200401Cambodia 2004116200801Cambodia 2008116201301Cambodia 2013116201901Cambodia 2019120197601Cameroon 1976120198701Cameroon 1987120200501Cameroon 2005124185201Canada 1852124187101Canada 1871124188101Canada 1881124189101Canada 1891124190101Canada 1901124191101Canada 1911124197101Canada 1971124198101Canada 1981124199101Canada 1991124200101Canada 2001124201101Canada 2011152196001Chile 1960152197001Chile 1970152198201Chile 1982152199201Chile 1992152200201Chile 2002152201701Chile 2017156198201China 1982156199001China 1990156200001China 2000170196401Colombia 1964170197301Colombia 1973170198501Colombia 1985170199301Colombia 1993170200501Colombia 2005188196301Costa Rica 1963188197301Costa Rica 1973188198401Costa Rica 1984188200001Costa Rica 2000188201101Costa Rica 2011192200201Cuba 2002192201201Cuba 2012208178701Denmark 1787208180101Denmark 1801208184501Denmark 1845208188001Denmark 1880208188501Denmark 1885214196001Dominican Republic 1960214197001Dominican Republic 1970214198101Dominican Republic 1981214200201Dominican Republic 2002214201001Dominican Republic 2010218196201Ecuador 1962218197401Ecuador 1974218198201Ecuador 1982218199001Ecuador 1990218200101Ecuador 2001218201001Ecuador 2010818184801Egypt 1848818186801Egypt 1868818198601Egypt 1986818199601Egypt 1996818200601Egypt 2006222199201El Salvador 1992222200701El Salvador 2007231198401Ethiopia 1984231199401Ethiopia 1994231200701Ethiopia 2007242196601Fiji 1966242197601Fiji 1976242198601Fiji 1986242199601Fiji 1996242200701Fiji 2007242201401Fiji 2014246201001Finland 2010250196201France 1962250196801France 1968250197501France 1975250198201France 1982250199001France 1990250199901France 1999250200601France 2006250201101France 2011276181901Germany 1819 (Mecklenburg)276197001Germany 1970 (West)276197101Germany 1971 (East)276198101Germany 1981 (East)276198701Germany 1987 (West)288198401Ghana 1984288200001Ghana 2000288201001Ghana 2010300197101Greece 1971300198101Greece 1981300199101Greece 1991300200101Greece 2001300201101Greece 2011320196401Guatemala 1964320197301Guatemala 1973320198101Guatemala 1981320199401Guatemala 1994320200201Guatemala 2002324198301Guinea 1983324199601Guinea 1996324201401Guinea 2014332197101Haiti 1971332198201Haiti 1982332200301Haiti 2003340196101Honduras 1961340197401Honduras 1974340198801Honduras 1988340200101Honduras 2001348197001Hungary 1970348198001Hungary 1980348199001Hungary 1990348200101Hungary 2001348201101Hungary 2011352170301Iceland 1703352172901Iceland 1729352180101Iceland 1801352190101Iceland 1901352191001Iceland 1910356198341India 1983356198741India 1987356199341India 1993356199941India 1999356200441India 2004356200941India 2009360197101Indonesia 1971360197601Indonesia 1976360198001Indonesia 1980360198501Indonesia 1985360199001Indonesia 1990360199501Indonesia 1995360200001Indonesia 2000360200501Indonesia 2005360201001Indonesia 2010364200601Iran 2006364201101Iran 2011368199701Iraq 1997372190101Ireland 1901372191101Ireland 1911372197101Ireland 1971372197901Ireland 1979372198101Ireland 1981372198601Ireland 1986372199101Ireland 1991372199601Ireland 1996372200201Ireland 2002372200601Ireland 2006372201101Ireland 2011372201601Ireland 2016376197201Israel 1972376198301Israel 1983376199501Israel 1995376200801Israel 2008380200101Italy 2001380201101Italy 2011380201121Italy 2011 Q1 LFS380201221Italy 2012 Q1 LFS380201321Italy 2013 Q1 LFS380201421Italy 2014 Q1 LFS380201521Italy 2015 Q1 LFS380201621Italy 2016 Q1 LFS380201721Italy 2017 Q1 LFS380201821Italy 2018 Q1 LFS380201921Italy 2019 Q1 LFS380202021Italy 2020 Q1 LFS384198801Ivory Coast 1988384199801Ivory Coast 1998388198201Jamaica 1982388199101Jamaica 1991388200101Jamaica 2001400200401Jordan 2004404196901Kenya 1969404197901Kenya 1979404198901Kenya 1989404199901Kenya 1999404200901Kenya 2009417199901Kyrgyz Republic 1999417200901Kyrgyz Republic 2009418199501Laos 1995418200501Laos 2005418201501Laos 2015426199601Lesotho 1996426200601Lesotho 2006430197401Liberia 1974430200801Liberia 2008454198701Malawi 1987454199801Malawi 1998454200801Malawi 2008458197001Malaysia 1970458198001Malaysia 1980458199101Malaysia 1991458200001Malaysia 2000466198701Mali 1987466199801Mali 1998466200901Mali 2009480199001Mauritius 1990480200001Mauritius 2000480201101Mauritius 2011484196001Mexico 1960484197001Mexico 1970484199001Mexico 1990484199501Mexico 1995484200001Mexico 2000484200501Mexico 2005484201001Mexico 2010484201501Mexico 2015484202001Mexico 2020484200521Mexico 2005 Q1 LFS484200522Mexico 2005 Q2 LFS484200523Mexico 2005 Q3 LFS484200524Mexico 2005 Q4 LFS484200621Mexico 2006 Q1 LFS484200622Mexico 2006 Q2 LFS484200623Mexico 2006 Q3 LFS484200624Mexico 2006 Q4 LFS484200721Mexico 2007 Q1 LFS484200722Mexico 2007 Q2 LFS484200723Mexico 2007 Q3 LFS484200724Mexico 2007 Q4 LFS484200821Mexico 2008 Q1 LFS484200822Mexico 2008 Q2 LFS484200823Mexico 2008 Q3 LFS484200824Mexico 2008 Q4 LFS484200921Mexico 2009 Q1 LFS484200922Mexico 2009 Q2 LFS484200923Mexico 2009 Q3 LFS484200924Mexico 2009 Q4 LFS484201021Mexico 2010 Q1 LFS484201022Mexico 2010 Q2 LFS484201023Mexico 2010 Q3 LFS484201024Mexico 2010 Q4 LFS484201121Mexico 2011 Q1 LFS484201122Mexico 2011 Q2 LFS484201123Mexico 2011 Q3 LFS484201124Mexico 2011 Q4 LFS484201221Mexico 2012 Q1 LFS484201222Mexico 2012 Q2 LFS484201223Mexico 2012 Q3 LFS484201224Mexico 2012 Q4 LFS484201321Mexico 2013 Q1 LFS484201322Mexico 2013 Q2 LFS484201323Mexico 2013 Q3 LFS484201324Mexico 2013 Q4 LFS484201421Mexico 2014 Q1 LFS484201422Mexico 2014 Q2 LFS484201423Mexico 2014 Q3 LFS484201424Mexico 2014 Q4 LFS484201521Mexico 2015 Q1 LFS484201522Mexico 2015 Q2 LFS484201523Mexico 2015 Q3 LFS484201524Mexico 2015 Q4 LFS484201621Mexico 2016 Q1 LFS484201622Mexico 2016 Q2 LFS484201623Mexico 2016 Q3 LFS484201624Mexico 2016 Q4 LFS484201721Mexico 2017 Q1 LFS484201722Mexico 2017 Q2 LFS484201723Mexico 2017 Q3 LFS484201724Mexico 2017 Q4 LFS484201821Mexico 2018 Q1 LFS484201822Mexico 2018 Q2 LFS484201823Mexico 2018 Q3 LFS484201824Mexico 2018 Q4 LFS484201921Mexico 2019 Q1 LFS484201922Mexico 2019 Q2 LFS484201923Mexico 2019 Q3 LFS484201924Mexico 2019 Q4 LFS484202021Mexico 2020 Q1 LFS484202023Mexico 2020 Q3 LFS496198901Mongolia 1989496200001Mongolia 2000504198201Morocco 1982504199401Morocco 1994504200401Morocco 2004504201401Morocco 2014508199701Mozambique 1997508200701Mozambique 2007104201401Myanmar 2014524200101Nepal 2001524201101Nepal 2011528196001Netherlands 1960528197101Netherlands 1971528200101Netherlands 2001528201101Netherlands 2011558197101Nicaragua 1971558199501Nicaragua 1995558200501Nicaragua 2005566200621Nigeria 2006566200721Nigeria 2007566200821Nigeria 2008566200921Nigeria 2009566201021Nigeria 2010578180101Norway 1801578186501Norway 1865578187501Norway 1875578190001Norway 1900578191001Norway 1910586197301Pakistan 1973586198101Pakistan 1981586199801Pakistan 1998275199701Palestine 1997275200701Palestine 2007275201701Palestine 2017591196001Panama 1960591197001Panama 1970591198001Panama 1980591199001Panama 1990591200001Panama 2000591201001Panama 2010598198001Papua New Guinea 1980598199001Papua New Guinea 1990598200001Papua New Guinea 2000600196201Paraguay 1962600197201Paraguay 1972600198201Paraguay 1982600199201Paraguay 1992600200201Paraguay 2002604199301Peru 1993604200701Peru 2007604201701Peru 2017608199001Philippines 1990608199501Philippines 1995608200001Philippines 2000608201001Philippines 2010616197801Poland 1978616198801Poland 1988616200201Poland 2002616201101Poland 2011620198101Portugal 1981620199101Portugal 1991620200101Portugal 2001620201101Portugal 2011630197001Puerto Rico 1970630198001Puerto Rico 1980630199001Puerto Rico 1990630200001Puerto Rico 2000630200501Puerto Rico 2005630201001Puerto Rico 2010630201501Puerto Rico 2015630202001Puerto Rico 2020642197701Romania 1977642199201Romania 1992642200201Romania 2002642201101Romania 2011643200201Russia 2002643201001Russia 2010646199101Rwanda 1991646200201Rwanda 2002646201201Rwanda 2012662198001Saint Lucia 1980662199101Saint Lucia 1991686198801Senegal 1988686200201Senegal 2002686201301Senegal 2013694200401Sierra Leone 2004694201501Sierra Leone 2015703199101Slovak Republic 1991703200101Slovak Republic 2001703201101Slovak Republic 2011705200201Slovenia 2002710199601South Africa 1996710200101South Africa 2001710200701South Africa 2007710201101South Africa 2011710201601South Africa 2016728200801South Sudan 2008724198101Spain 1981724199101Spain 1991724200101Spain 2001724201101Spain 2011724200521Spain 2005 Q1 LFS724200522Spain 2005 Q2 LFS724200523Spain 2005 Q3 LFS724200524Spain 2005 Q4 LFS724200621Spain 2006 Q1 LFS724200622Spain 2006 Q2 LFS724200623Spain 2006 Q3 LFS724200624Spain 2006 Q4 LFS724200721Spain 2007 Q1 LFS724200722Spain 2007 Q2 LFS724200723Spain 2007 Q3 LFS724200724Spain 2007 Q4 LFS724200821Spain 2008 Q1 LFS724200822Spain 2008 Q2 LFS724200823Spain 2008 Q3 LFS724200824Spain 2008 Q4 LFS724200921Spain 2009 Q1 LFS724200922Spain 2009 Q2 LFS724200923Spain 2009 Q3 LFS724200924Spain 2009 Q4 LFS724201021Spain 2010 Q1 LFS724201022Spain 2010 Q2 LFS724201023Spain 2010 Q3 LFS724201024Spain 2010 Q4 LFS724201121Spain 2011 Q1 LFS724201122Spain 2011 Q2 LFS724201123Spain 2011 Q3 LFS724201124Spain 2011 Q4 LFS724201221Spain 2012 Q1 LFS724201222Spain 2012 Q2 LFS724201223Spain 2012 Q3 LFS724201224Spain 2012 Q4 LFS724201321Spain 2013 Q1 LFS724201322Spain 2013 Q2 LFS724201323Spain 2013 Q3 LFS724201324Spain 2013 Q4 LFS724201421Spain 2014 Q1 LFS724201422Spain 2014 Q2 LFS724201423Spain 2014 Q3 LFS724201424Spain 2014 Q4 LFS724201521Spain 2015 Q1 LFS724201522Spain 2015 Q2 LFS724201523Spain 2015 Q3 LFS724201524Spain 2015 Q4 LFS724201621Spain 2016 Q1 LFS724201622Spain 2016 Q2 LFS724201623Spain 2016 Q3 LFS724201624Spain 2016 Q4 LFS724201721Spain 2017 Q1 LFS724201722Spain 2017 Q2 LFS724201723Spain 2017 Q3 LFS724201724Spain 2017 Q4 LFS724201821Spain 2018 Q1 LFS724201822Spain 2018 Q2 LFS724201823Spain 2018 Q3 LFS724201824Spain 2018 Q4 LFS724201921Spain 2019 Q1 LFS724201922Spain 2019 Q2 LFS724201923Spain 2019 Q3 LFS724201924Spain 2019 Q4 LFS724202021Spain 2020 Q1 LFS724202022Spain 2020 Q2 LFS724202023Spain 2020 Q3 LFS724202024Spain 2020 Q4 LFS729200801Sudan 2008740200401Suriname 2004740201201Suriname 2012752188001Sweden 1880752189001Sweden 1890752190001Sweden 1900752191001Sweden 1910756197001Switzerland 1970756198001Switzerland 1980756199001Switzerland 1990756200001Switzerland 2000756201101Switzerland 2011834198801Tanzania 1988834200201Tanzania 2002834201201Tanzania 2012764197001Thailand 1970764198001Thailand 1980764199001Thailand 1990764200001Thailand 2000768196001Togo 1960768197001Togo 1970768201001Togo 2010780197001Trinidad and Tobago 1970780198001Trinidad and Tobago 1980780199001Trinidad and Tobago 1990780200001Trinidad and Tobago 2000780201101Trinidad and Tobago 2011792198501Turkey 1985792199001Turkey 1990792200001Turkey 2000800199101Uganda 1991800200201Uganda 2002800201401Uganda 2014804200101Ukraine 2001826185101United Kingdom 1851 (England and Wales)826185102United Kingdom 1851 (Scotland)826185103United Kingdom 1851 (2% sample)826186101United Kingdom 1861 (England and Wales)826186102United Kingdom 1861 (Scotland)826187101United Kingdom 1871 (Scotland)826188101United Kingdom 1881 (England and Wales)826188102United Kingdom 1881 (Scotland)826189101United Kingdom 1891 (England and Wales)826189102United Kingdom 1891 (Scotland)826190101United Kingdom 1901 (England and Wales)826190102United Kingdom 1901 (Scotland)826191101United Kingdom 1911 (England and Wales)826196101United Kingdom 1961826197101United Kingdom 1971826199101United Kingdom 1991826200101United Kingdom 2001840185001United States 1850 (100%)840185002United States 1850 (1%)840186001United States 1860 (1%)840187001United States 1870 (1%)840188001United States 1880 (100%)840188002United States 1880 (10%)840190001United States 1900 (5%)840191001United States 1910 (1%)840196001United States 1960840197001United States 1970840198001United States 1980840199001United States 1990840200001United States 2000840200501United States 2005840201001United States 2010840201501United States 2015840202001United States 2020858196301Uruguay 1963858196302Uruguay 1963 (full count)858197501Uruguay 1975858197502Uruguay 1975 (full count)858198501Uruguay 1985858198502Uruguay 1985 (full count)858199601Uruguay 1996858199602Uruguay 1996 (full count)858200621Uruguay 2006858201101Uruguay 2011858201102Uruguay 2011 (full count)862197101Venezuela 1971862198101Venezuela 1981862199001Venezuela 1990862200101Venezuela 2001704198901Vietnam 1989704199901Vietnam 1999704200901Vietnam 2009704201901Vietnam 2019894199001Zambia 1990894200001Zambia 2000894201001Zambia 2010716201201Zimbabwe 2012Technical Household Variables -- HOUSEHOLDHousehold serial numberSERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database.
SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred:
Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes.
SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.
The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL.SERIAL is a 10-digit numeric variable.
The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes.Technical Household Variables -- HOUSEHOLDNumber of person records in the householdPERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.PERSONS is a 4-digit numeric variable.Technical Household Variables -- HOUSEHOLDHousehold weightHHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.Technical Household Variables -- HOUSEHOLDSubsample numberSUBSAMP 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.001st 1% subsample012nd 1% subsample023rd 1% subsample034th 1% subsample045th 1% subsample056th 1% subsample067th 1% subsample078th 1% subsample089th 1% subsample0910th 1% subsample1011th 1% subsample1112th 1% subsample1213th 1% subsample1314th 1% subsample1415th 1% subsample1516th 1% subsample1617th 1% subsample1718th 1% subsample1819th 1% subsample1920th 1% subsample2021st 1% subsample2122nd 1% subsample2223rd 1% subsample2324th 1% subsample2425th 1% subsample2526th 1% subsample2627th 1% subsample2728th 1% subsample2829th 1% subsample2930th 1% subsample3031st 1% subsample3132nd 1% subsample3233rd 1% subsample3334th 1% subsample3435th 1% subsample3536th 1% subsample3637th 1% subsample3738th 1% subsample3839th 1% subsample3940th 1% subsample4041st 1% subsample4142nd 1% subsample4243rd 1% subsample4344th 1% subsample4445th 1% subsample4546th 1% subsample4647th 1% subsample4748th 1% subsample4849th 1% subsample4950th 1% subsample5051st 1% subsample5152nd 1% subsample5253rd 1% subsample5354th 1% subsample5455th 1% subsample5556th 1% subsample5657th 1% subsample5758th 1% subsample5859th 1% subsample5960th 1% subsample6061st 1% subsample6162nd 1% subsample6263rd 1% subsample6364th 1% subsample6465th 1% subsample6566th 1% subsample6667th 1% subsample6768th 1% subsample6869th 1% subsample6970th 1% subsample7071st 1% subsample7172nd 1% subsample7273rd 1% subsample7374th 1% subsample7475th 1% subsample7576th 1% subsample7677th 1% subsample7778th 1% subsample7879th 1% subsample7980th 1% subsample8081st 1% subsample8182nd 1% subsample8283rd 1% subsample8384th 1% subsample8485th 1% subsample8586th 1% subsample8687th 1% subsample8788th 1% subsample8889th 1% subsample8990th 1% subsample9091st 1% subsample9192nd 1% subsample9293rd 1% subsample9394th 1% subsample9495th 1% subsample9596th 1% subsample9697th 1% subsample9798th 1% subsample9899th 1% subsample99100th 1% subsampleTechnical Household Variables -- HOUSEHOLDGroup quarters (collective dwelling) statusGQ 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.00Vacant10Households20Group quarters (collective), n.s.21Institutions22Other group quarters291-person unit created by splitting large household99Unknown/group quarters not identifiedGroup Quarters Variables -- HOUSEHOLDNumber of unrelated personsUNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE.00112233445566778899+Group Quarters Variables -- HOUSEHOLDUrban-rural statusURBAN indicates whether the household was located in a place designated as urban or as rural.1Rural2Urban9UnknownGeography: Global Variables -- HOUSEHOLDContinent and region of countryREGIONW identifies the continent and region of each country.11Eastern Africa12Middle Africa13Northern Africa14Southern Africa15Western Africa21Caribbean22Central America23North America24South America31Central Asia32Eastern Asia33Southern Asia34South-Eastern Asia35Western Asia41Eastern Europe42Northern Europe43Southern Europe44Western Europe51Australia and New Zealand52Melanesia53Micronesia54PolynesiaGeography: Global Variables -- HOUSEHOLD1st subnational geographic level, world [consistent boundaries over time]GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.GEOLEV1 is a 6-digit numeric variable.
GEOLEV1 codes and labels can be found here.
Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR.Geography: Global Variables -- HOUSEHOLD2nd subnational geographic level, world [consistent boundaries over time]GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country.GEOLEV2 is a 9-digit numeric variable.
GEOLEV2 codes and labels can be found here.
Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR.Geography: Global Variables -- HOUSEHOLDPopulation density of GEOLEV1 unit, in persons per square kilometerPOPDENSGEO1 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.Geography: Global Variables -- HOUSEHOLDPopulation density of GEOLEV2 unit, in persons per square kilometerPOPDENSGEO2 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.Geography: Global Variables -- HOUSEHOLDArea of GEOLEV1 unit in square kilometersAREAMOLLWGEO1 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.Geography: Global Variables -- HOUSEHOLDArea of GEOLEV2 unit in square kilometersAREAMOLLWGEO2 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.Geography: Global Variables -- HOUSEHOLDLesotho, District 1996 - 2006 [Level 1; consistent boundaries, GIS]GEO1_LS identifies the household's district within Lesotho in all sample years. Districts are the first level administrative units of the country. GEO1_LS is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_LS can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Lesotho 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.426001Butha Buthe426002Leribe426003Berea426004Maseru426005Mafeteng426006Mohale's Hoek426007Quthing426008Qacha's Nek426009Mokhotlong426010Thaba-Tseka426099UnknownGeography: F-N Variables -- HOUSEHOLDLesotho, District 2006 [Level 1, GIS]GEO1_ LS2006 identifies the household's district within Lesotho in 2006. Districts are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ LS2006 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Lesotho 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.001Butha Buthe002Leribe003Berea004Maseru005Mafeteng006Mohale's Hoek007Quthing008Qacha's Nek009Mokhotlong010Thaba TsekaGeography: F-N Variables -- HOUSEHOLDLesotho, Constituency 2006 [Level 2; consistent boundaries, GIS]GEO2_LS identifies the household's constituency within Lesotho in 2006. Constituencies are the second level administrative units of the country, after districts. A GIS map (in shapefile format), corresponding to GEO2_LS can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Lesotho 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.426001002Hololo, Mechachane, Qalo426001003Motete426001005Botha-Bothe426002006Malibamatso426002007Mphosong426002008Thaba-Phatsoa426002010Pela-Tsoeu426002011Matlakeng, Mohobollo426002013Hlotse, Mahobong426002014Tsikoane426002015Maputsoe426002016Likhetlane426002017Peka, Kolonyama426003019Mosalemane426003020Nokong426003021Bela-Bela426003023Khafung426003024Teyateyaneng426003025Malimong, Pulane426003026Thupa-Kubu, Seqonoka426003028Berea426003029Mabote426004030Motimposo426004031Stadium Area426004032Maseru Central426004033Qoaling426004034Lithoteng, Abia426004035Lithabaneng426004037Thaba-Bosiu426004038Machache426004039Thaba-Putsoa426004040Maama, Koro-Koro426004042Qeme426004043Rothe426004044Matsieng426004045Makhaleng426004046Maletsunyane426005047Thaba-Pechela426005048Kolo426005051Matelile, Maliepetsane, Thaba-Tsoeu426005052Thabana-Morena426005053Likhoele426005055Mafeteng, Qablane426006057Qhalasi, Taung, Mpharane426006058Mohale's Hoek426006059Mekaling426006060Qaqatu426006062Ketane426006063Hloahloeng426007064Tele426007065Moyeni426007066Sebapala426007067MT Moroosi426007068Qhoali426008069Qacha's Nek, Lebakeng426008071Tsoelike426009077Malingoaneng426009078Senqu426009079Mokhotlong426009080Bobatsi426010072Mantsonyane, Thaba-Moea426010074Thaba-Tseka426010075Semena426010076MashaiGeography: F-N Variables -- HOUSEHOLDLesotho, Constituency 2006 [Level 2, GIS]GEO2_LS2006 identifies the constituency within Lesotho in 2006. Constituencies are the second level administrative units of the country, after districts. A GIS map (in shapefile format), corresponding to GEO2_LS2006 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Lesotho 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.001002Hololo, Mechachane, Qalo001003Motete001005Botha-Bothe002006Malibamatso002007Mphosong002008Thaba-Phatsoa002010Pela-Tsoeu002011Matlakeng, Mohobollo002013Hlotse, Mahobong002014Tsikoane002015Maputsoe002016Likhetlane002017Peka, Kolonyama003019Mosalemane003020Nokong003021Bela-Bela003023Khafung003024Teyateyaneng003025Malimong, Pulane003026Thupa-Kubu, Seqonoka003028Berea003029Mabote004030Motimposo004031Stadium Area004032Maseru Central004033Qoaling004034Lithoteng, Abia004035Lithabaneng004037Thaba-Bosiu004038Machache004039Thaba-Putsoa004040Maama, Koro-Koro004042Qeme004043Rothe004044Matsieng004045Makhaleng004046Maletsunyane005047Thaba-Pechela005048Kolo005051Matelile, Maliepetsane, Thaba-Tsoeu005052Thabana-Morena005053Likhoele005055Mafeteng, Qablane006057Qhalasi, Taung, Mpharane006058Mohale's Hoek006059Mekaling006060Qaqatu006062Ketane006063Hloahloeng007064Tele007065Moyeni007066Sebapala007067MT Moroosi007068Qhoali008069Qacha's Nek, Lebakeng008071Tsoelike009077Malingoaneng009078Senqu009079Mokhotlong009080Bobatsi010072Mantsonyane, Thaba-Moea010074Thaba-Tseka010075Semena010076MashaiGeography: F-N Variables -- HOUSEHOLDDHS-IPUMS-I Lesotho regions, 1996-2014 [consistent boundaries, GIS]DHS_IPUMSI_LS provides geographic codes for Burkina Faso 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_LS indicate the major administrative unit in which the household was enumerated or surveyed.
GIS shapefiles for Lesotho can be downloaded here.01Botha-bothe02Leribe03Berea04Maseru05Mafeteng06Mohale's hoek07Quthing08Qacha's-nek09Mokhotlong10Thaba Tseka98UnknownGeography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLDElectricityELECTRIC indicates whether the household had access to electricity.0NIU (not in universe)1Yes2No9UnknownUtilities Variables -- HOUSEHOLDWater supplyWATSUP 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.00NIU (not in universe)10Yes, piped water11Piped inside dwelling12Piped, exclusively to this household13Piped, shared with other households14Piped outside the dwelling15Piped outside dwelling, in building16Piped within the building or plot of land17Piped outside the building or lot18Have access to public piped water20No piped water99UnknownUtilities Variables -- HOUSEHOLDCooking fuelFUELCOOK indicates the predominant type of fuel or energy used for cooking.00NIU (not in universe)10None20Electricity30Petroleum gas, unspecified31Gas -- piped/utility32Gas -- tanked or bottled33Propane34Liquefied petroleum gas35Gas -- piped and bottled40Petroleum liquid41Oil, kerosene, and other liquid fuels42Kerosene/paraffin43Kerosene or oil44Kerosene or gasoline45Gasoline46Cocinol47Diesel50Wood, coal, and other solid fuels51Wood and other plant fuels52Non-wood plant materials53Coal or charcoal54Charcoal55Coal56Wood or charcoal60Multiple fuels61Bottled gas and wood62Propane and electricity63Propane, kerosene, and electricity64Propane and kerosene65Kerosene and electrictiy66Other combinations70Other71Alcohol72Biogas73Discarded or waste material74Dung/manure75Other combined organic waste materials76Solar energy77Candle99Unknown/missingUtilities Variables -- HOUSEHOLDFuel for heatingFUELHEAT indicates the main fuel source for heating the household.00NIU (not in universe)01None02Electricity03Fuel oil, kerosene, other liquid fuels04Kerosene/paraffin05Diesel06Gas07Bottled gas, in tank, liquified08Solid fuel09Coal10Wood11Wood or coal12Solar13Animal dung14Charcoal15Biofuel16Other17Multiple sources99UnknownUtilities Variables -- HOUSEHOLDTelephone availabilityPHONE indicates the availability of a telephone in the dwelling.0NIU (not in universe)1No2Yes9Unknown/missingUtilities Variables -- HOUSEHOLDCellular phone availabilityCELL indicates the availability of a cellular phone in the household.0NIU (not in universe)1Yes2No9UnknownUtilities Variables -- HOUSEHOLDTrash disposalThis variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner.00NIU (not in universe)10Collected by a sanitation service11Collected directly from the household or dwelling12Collected indirectly from a garbage container or deposit13Collected by a sanitation service only14Collected by a sanitation service and disposed of in some other manner20Disposed of in some other manner21Burned or buried22Burned23Buried24Thrown into street, vacant land, or common area25Thrown into river, lake, ocean, lagoon, etc.26Thrown into canyon or gulley27Dumped in pit28Communal refuse dump29Own refuse dump30Authorized refuse dump31Illegal refuse dump32Other dumping33Outside34In the fields35Fed to animals36Composted37Heap38Garden39Other, none99Unknown/missingUtilities Variables -- HOUSEHOLDAutomobiles availableAUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.0No autos11 auto22 autos33 autos44 autos55 autos66+ autos7Have auto, number unspecified8Unknown9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDRefrigeratorREFRIG indicates whether the household had a refrigerator.0NIU (not in universe)1No2Yes9Unknown/missingAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDTelevision setTV indicates whether the household had a television.00NIU (not in universe)10No20Yes, color or black-and-white not specified211 television222 televisions233 televisions244 televisions255 televisions266 televisions277 televisions288 televisions299+ televisions30Yes, at least one color tv311 color tv322 color tvs333+ televisions40Yes, black-and-white only411 black-white tv422 black-white tvs433+ black-white tvs99Unknown/missingAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDRadio in householdRADIO indicates whether the household had a radio.0NIU (not in universe)1No2Yes9Unknown/missingAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDNumber of roomsROOMS indicates the number of rooms occupied by the housing unit.00Part of a room; no rooms011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDToiletTOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation.00NIU (not in universe)10No toilet11No flush toilet20Have toilet, type not specified21Flush toilet22Non-flush, latrine23Non-flush, other and unspecified99UnknownDwelling Characteristics Variables -- HOUSEHOLDFloor materialFLOOR indicates the dwelling's predominant flooring material.000NIU (not in universe)100None/unfinished (earth)110Sand120Dung200Finished201Cement, tile, or brick202Cement203Concrete204Cement screed205Ceramic tile206Paving stone, cement tile207Stone208Brick209Brick or stone210Brick or cement211Block212Terrazzo213Wood214Palm, bamboo215Parquet216Parquet, tile, vinyl217Parquet, tile, marble218Ceramic, marble, granite219Ceramic, marble, tile, or vinyl220Marble221Mosaic222Tile223Tile, linoleum, ceramic, etc224Tile, cement225Tile, stone226Tile, stone, brick227Tile, stone, vinyl, brick228Tile, vinyl, brick229Tile, vinyl230Vinyl, linoleum, etc231Asphalt sheet, vinyl, etc232Synthetic, plastic233Cane234Carpet, rug235Scrap material236Other finished, n.e.c.999Unknown/missingDwelling Characteristics Variables -- HOUSEHOLDWall or building materialThis variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls.000NIU (not in universe)100No walls200Cardboard, scrap, and miscellaneous materials201Waste, scrap, or discarded material202Fabric or discarded material203Zinc, fabric, cardboard, tins, and waste material204Cardboard sheet205Plastic sheeting, cardboard206Makeshift, salvaged, or improvised materials207Reused materials300Wood310Rough wood320Wood, fibercement or plywood330Wood, formica, and other340Wood or bamboo350Wood or straw400Other plant-based materials401Plantain leaves and similar material402Bamboo or cane403Bamboo, sawali, cogon, nipa404Straw or bamboo405Grass, straw or reed406Reed, bamboo, or palm407Cane, palm leaves, logs408Palm leaves or palm planks409Bark, sticks, or cane500Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood)501Brick, block, stone, or cement502Brick, stone, concrete503Brick, stone, or substitutes (dividing panels made of reinforced concrete)504Brick, stone, or substitutes (dividing panels made of wood)505Brick or tile506Brick or stone507Brick or cement block508Brick with plaster exterior509Brick without plaster exterior510Burnt or stabilized brick511Covered brick512Brick513Unburnt brick514Unburnt brick with cement515Unburnt brick with mud516Concrete517Landcrete, sandcrete518Cement blocks519Cement blocks or brick520Cement blocks or brick, unfinished521Cement and adobe bricks522Cement and stone block523Cement and tiles524Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete525Concrete, reinforced concrete, blocks, panels526Fibercement527Adobe528Adobe walls with plaster exterior529Adobe walls without plaster exterior530Adobe with cement exterior531Wood and earth adobe532Wood and cement adobe533Mud or adobe534Pressed dirt535Clay536Coated clay/mud with sticks/cane537Clay or clay-covered sticks538Netted bamboo or cane with mud539Bundle of mud, straw, other materials540Mud with wood/wattle541Pole and mud542Mud with cement543Unfinished lathe and plaster, stucco, etc.544Stone545Hand-laid stone546Quarried stone547Cut stone and concrete548Cemented stone549Stone with clay550Blocks of light material551Prefabricated material552Asbestos553Metal or asbestos sheet554Metal or iron sheet555Metal or fibercement sheeting556Galvanized iron or aluminum557Tin558Glass559Cloth560Covintec panels561Mixed material562Mixed material: part wood; part concrete, brick, or stone563Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc.564Mixed material: wood or galvanized metal570Mainly permanent materials600Other material601Partition wall, lined with wood or steel602Partition wall, unlined999Unknown/missingDwelling Characteristics Variables -- HOUSEHOLDRoof materialThis variable indicates the dwelling's predominant roofing material.00NIU (not in universe)10Masonry, concrete, clay tile, or tiles of unspecified type11Concrete or cement12Reinforced concrete (slab)13Cement or sheet metal14Tile, unspecified material15Clay tile16Tile or cement17Modern tiles, industrial18Traditional tiles, locally made19Tile or flat stone20Tile, unspecified or mixed materials21Fibercement or plastic22Fibercement or metal sheets23Asphalt or laminate cover24Tile, cement, asphalt25Asphalt tile26Slate or tile27Slate or asbestos28Asbestos29Adobe30Tiles or wood planks31Roofing shingles32Tar paper33Metal34Sheet metal35Zinc or tin36Tin37Sheet metal or other sheet material38Sheet metal, tile, slate40Wood and other plant materials41Wood42Wood, including bamboo43Bamboo44Cogon, nipa, anahaw45Thatch (straw, grass, leaves, palm, etc.)46Cane, wood, straw47Grass or straw48Papyrus49Banana leaves or fiber50Palm or makuti51Straw, bamboo, polythene52Wood with clay53Grass and mud54Rustic mat60Mud or earth61Clay70Cardboard, scrap, and miscellaneous materials71Discarded or scrap material72Cardboard73Plastic, tarpaulin80Other, unspecified90No roof99Unknown/missingDwelling Characteristics Variables -- HOUSEHOLDNumber of deaths in household last yearMORTNUM indicates the number of deaths in the household in the past year.0None11 death22 deaths33 deaths44 deaths55 deaths66 deaths77 or more deaths8Unknown9NIU (not in universe)Other Household Variables -- HOUSEHOLDAny deaths in household last yearANYMORT indicates whether there were any deaths in the household in the past year.1Yes2No8Unknown/missing9NIU (not in universe)Other Household Variables -- HOUSEHOLDHousehold classificationHHTYPE 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.00Vacant household01One-person household02Married/cohab couple, no children03Married/cohab couple with children04Single-parent family05Polygamous family06Extended family, relatives only07Composite household, family and non-relatives08Non-family household09Unclassified subfamily10Other relative or non-relative household11Group quarters99UnclassifiableConstructed Household Variables -- HOUSEHOLDNumber of families in householdNFAMS 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.0Vacant household11 family22 families33 families44 families55 families66 families77 families88 families99 or more familiesConstructed Household Variables -- HOUSEHOLDNumber of married couples in householdNCOUPLES 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).0No married couples in household11 couple22 couples33 couples44 couples55 couples66 couples77 couples88 couples99 or more couplesConstructed Household Variables -- HOUSEHOLDNumber of mothers in householdNMOTHERS 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).0No mothers in household11 mother22 mothers33 mothers44 mothers55 mothers66 mothers77 mothers88 mothers99 or more mothers in householdConstructed Household Variables -- HOUSEHOLDNumber of fathers in householdNFATHERS 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).0No fathers in household11 father22 fathers33 fathers44 fathers55 fathers66 fathers77 fathers88 fathers99 or more fathers in householdConstructed Household Variables -- HOUSEHOLDHead's location in householdHEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households.HEADLOC is a 3-digit numeric variable.Constructed Household Variables -- HOUSEHOLDDwelling numberLesotho 2006: All recordsThis variable indicates dwelling number.This is a 7-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDNumber of persons in householdLesotho 2006: All recordsThis variable indicates number of persons in household.01102203304405506607708809910101111121213131414151516161717181819192020212122222323242427272929Technical Household Variables -- HOUSEHOLDWard<span class="h2">Section A. Interview information </span>
<br />1. Name of household head ____
<br />2. District ____
<br />3. Principal Chief ____
<br />4. Area Chief ____
<br />5. Village Chief ____
<br />6. Village name ____
<br />7. HSA Name ____
<br />District _ _
<br />Ward _ _ _
<br />Zone _
<br />Urban/Rural _
<br />Constituency _ _
<br />EA Number _ _ _ _ _ _ _ _ _
<br />Village Number _ _
<br />Household Number _ _ _
<br />Local Community County _ _ _
<br />Questionnaire Number _<span class="h2">Part A of the questionnaire</span>
<br />70. Part A is for the purpose of identifying households, as well as for checking purposes both in the field and in the office.
<br /><span class="h3">Geographic Identification Particulars</span><div class="i1">District: Record here the code of the district under which the village is administered. You will get this information from your supervisor.<br />Zone: Record here the code of the zone, under which the village falls which could be either Lowland, Foothills, Senqu River Valley, or mountain. The village list provided will have this information.<br />Ward: Record here the code of the ward under which the village falls. You will get this information from your supervisor.<br />EA code: Record in the appropriate space the enumeration area to which you will be assigned by the office. The village lists provided will also have this information.<br />Household number: Ensure consistent numbering of your household for each village in your E.A.<br />Health Service Area number: Record here the name of the clinic which is nearest to the village recorded. Each clinic has a number, you have to fill in the number in the space provided e.g. J4458<br />Village: write the name and number of the village in the space provided<br />Record all the names by which the village is known, beginning with the one which appears more permanent than the others, e.g. if a village is called after the name of the present headman, such a name is not very permanent because it may die with that headman. So try to find out if there are other names of a permanent nature.<br />Be careful about the villages, which share a common area name. An example of this phenomenon will be found in villages, which surround Qeme Plateau. Such villages should be clearly distinguished from one another by local names, e.g. Qeme, Ha Mantsebo, Qeme Ha Mpo, Qeme Ha Ramorakane etc. If it is a town, write the name of the township e.g. Ha hoohlo Maseru, Lisemeng in Hlotse and Mampoboleng in Moyeni.<br />Local Community Council: Record here the number of the local community council under which the recorded village falls.<br /><span class="pg">[pg.14]</span><br />Urban/Rural: Record here whether the area is Urban or Rural. Your supervisor will make this known to you. If it is urban, delete rural and write code 1. If it is rural, delete urban and write code 2 in the appropriate box.<br />Household bead: Record the names of the head of the household (first name and surname) as given by the head or a responsible member of the household. In the absence of the entire household, the neighbors or the headman will supply this information. The head of the household (<span class="lang">hlooho ea lelapa</span>) is generally the one who is responsible for the upkeep and maintenance of the household. He/she is not necessarily the oldest person in the household. However, your main guide to who is the head is whoever will be pointed to you as the head when you ask.</div><div class="i2">Names of Principal/Ward Chief, Area Chief, Village Chief/Headman.</div><div class="i1">Record here in sequence the name of the principal/ward chief; that of the area chief and finally that of the village chief or headman responsible for administering the village.<br /> In some cases it will happen that the principal/ward chief is simultaneously an area chief (chief of a number of villages). In such cases, his name will show in two cases. I.e. as area chief, and principal/ward chief. If people in the village do not know the names of the principal and /or ward chief of their area, the village headman will help you.</div>Lesotho 2006: All householdsThis variable indicates the ward where the household is located.01Butha-Buthe02Makhoakhoeng03Leribe04Tsikoane, Peka le Kolbere05Mamathe le Thupa-Kubu06Kueneng le Mapoteng07Maqhaka08Thaba-Bosiu le Ratau09Matsieng10Rothe, Kolo le Thaba-Tseka11Kubake le Ramabanta12Maama13Tebang14Likhoele15Tajane le Pontseng16Matelile17Phamong18Taung19Likoeneng20Thaba-Tsoeu21Sebapala22Qacha's Nek23Mokhotlong24TlokoengGeography: F-N Variables -- HOUSEHOLDArea of residenceLesotho 2006: All householdsThis variable indicates if the household is located in an urban or rural area.1Urban2RuralGeography: F-N Variables -- HOUSEHOLDZone<span class="h2">Section A. Interview information </span>
<br />1. Name of household head ____
<br />2. District ____
<br />3. Principal Chief ____
<br />4. Area Chief ____
<br />5. Village Chief ____
<br />6. Village name ____
<br />7. HSA Name ____
<br />District _ _
<br />Ward _ _ _
<br />Zone _
<br />Urban/Rural _
<br />Constituency _ _
<br />EA Number _ _ _ _ _ _ _ _ _
<br />Village Number _ _
<br />Household Number _ _ _
<br />Local Community County _ _ _
<br />Questionnaire Number _<span class="h2">Part A of the questionnaire</span>
<br />70. Part A is for the purpose of identifying households, as well as for checking purposes both in the field and in the office.
<br /><span class="h3">Geographic Identification Particulars</span><div class="i1">District: Record here the code of the district under which the village is administered. You will get this information from your supervisor.<br />Zone: Record here the code of the zone, under which the village falls which could be either Lowland, Foothills, Senqu River Valley, or mountain. The village list provided will have this information.<br />Ward: Record here the code of the ward under which the village falls. You will get this information from your supervisor.<br />EA code: Record in the appropriate space the enumeration area to which you will be assigned by the office. The village lists provided will also have this information.<br />Household number: Ensure consistent numbering of your household for each village in your E.A.<br />Health Service Area number: Record here the name of the clinic which is nearest to the village recorded. Each clinic has a number, you have to fill in the number in the space provided e.g. J4458<br />Village: write the name and number of the village in the space provided<br />Record all the names by which the village is known, beginning with the one which appears more permanent than the others, e.g. if a village is called after the name of the present headman, such a name is not very permanent because it may die with that headman. So try to find out if there are other names of a permanent nature.<br />Be careful about the villages, which share a common area name. An example of this phenomenon will be found in villages, which surround Qeme Plateau. Such villages should be clearly distinguished from one another by local names, e.g. Qeme, Ha Mantsebo, Qeme Ha Mpo, Qeme Ha Ramorakane etc. If it is a town, write the name of the township e.g. Ha hoohlo Maseru, Lisemeng in Hlotse and Mampoboleng in Moyeni.<br />Local Community Council: Record here the number of the local community council under which the recorded village falls.<br /><span class="pg">[pg.14]</span><br />Urban/Rural: Record here whether the area is Urban or Rural. Your supervisor will make this known to you. If it is urban, delete rural and write code 1. If it is rural, delete urban and write code 2 in the appropriate box.<br />Household bead: Record the names of the head of the household (first name and surname) as given by the head or a responsible member of the household. In the absence of the entire household, the neighbors or the headman will supply this information. The head of the household (<span class="lang">hlooho ea lelapa</span>) is generally the one who is responsible for the upkeep and maintenance of the household. He/she is not necessarily the oldest person in the household. However, your main guide to who is the head is whoever will be pointed to you as the head when you ask.</div><div class="i2">Names of Principal/Ward Chief, Area Chief, Village Chief/Headman.</div><div class="i1">Record here in sequence the name of the principal/ward chief; that of the area chief and finally that of the village chief or headman responsible for administering the village.<br /> In some cases it will happen that the principal/ward chief is simultaneously an area chief (chief of a number of villages). In such cases, his name will show in two cases. I.e. as area chief, and principal/ward chief. If people in the village do not know the names of the principal and /or ward chief of their area, the village headman will help you.</div>Lesotho 2006: All householdsThis variable indicates the zone where the household is located.1Lowlands2Foothills3Mountains4Senqu River ValleyGeography: F-N Variables -- HOUSEHOLDHospitals and health centers (HSA)Lesotho 2006: All householdsThis variable indicates hospitals and health service centers.01Berea HSA 02Butha-Buthe HSA 03L.F.D.S. HSA 04Leribe HSA 05Mamohau HSA 06Mafeteng HSA 07Maluti HSA 08Mohale's Hoek HSA 09Mokhotlong HSA 10Paray HSA 11Qacha's Nek HSA 12Queen Elizabeth II HSA 13Quthing HSA 14Scott HSA 15Seboche HSA 16St. James HSA 17St. Joseph HSA 18Tebellong HSA 98Unknown Technical Household Variables -- HOUSEHOLDEnumeration resultImportant
<br />Create a reference number by combining the EA code, village number, household number, and the questionnaire numbers. Write this number now on the top of all pages.
<br />Number of visits (write day of visit) </p>
<div class="i1">____ 1 <br />____ 2 <br />____ 3<br />____Final Visit</div><p>Total persons in household </p>
<div class="i1">_ _ Males <br />_ _ Females</div><p>Final results code </p>
<div class="i1">[] 1 Completed <br />[] 2 No household member at home <br />[] 3 Entire household absent for extended period of time <br />[] 4 Dwelling vacant<br />[] 5 Dwelling destroyed <br />[] 6 Other</div>Lesotho 2006: All householdsThis variable indicates the code of the result of the enumeration.1Completed2No household member at home3Entire household absent for extended period of time4Dwelling vacant5Other9Unknown Technical Household Variables -- HOUSEHOLDLand tenure<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>50. What is the title of the land? </p>
<div class="i1">[] 1 Leased hold<br />[] 2 Title deed <br />[] 3 Form C <br />[] 4 No title<br />[] 9 Don't know</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>120. Column 50: What is the tenure of the house?</p>
<div class="i1">Please code according to the list provided.</div>Lesotho 2006: All householdsThis variable indicates the type of tenure of the land of the household.1Leasehold2Title deed3Form C4No title5Other 9Unknown Household Economic Variables -- HOUSEHOLDMeans to acquire land<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>51a. From whom did you acquire your land?</p>
<div class="i1">[If Question 51a is coded 2-9, skip to Question 52.]<br /><br />[] 1 Government agency<br />[] 2 Allocated by chief<br />[] 3 Bought from somebody <br />[] 4 Inherited/gift <br />[] 5 Other, specify____<br />[] 9 Don't know</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>121. Column 51a: Plot acquisition</p>
<div class="i1">Please code according to the list provided.</div>Lesotho 2006: All householdsThis variable indicates how the household acquired the land.1Government agency2Allocated by chief3Bought from somebody4Inherited or gift5OtherHousehold Economic Variables -- HOUSEHOLDLand from goverment agency<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>51b. From which government agency did you acquire your land? </p>
<div class="i1">[] 1 LEHCOOP/Lesotho housing/ LHLDC<br />[] 2 UDS/ Mabote Project <br />[] 3 LSPP<br />[] 4 MCC</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>122. Column 51b: Government agency where plot was acquired.</p>
<div class="i1">Please code according to the list provided.</div>Lesotho 2006: Households that aquired land through a government agency [descrepancies: none]This variable indicates the governemtn agency that the household acquired the land through.0NIU (not in universe) 1LEHCOOP, Lesotho housing, or LHLDC2UDS, Mabote Project3Land surveys and physical planning (LSPP)4Millennium Challenge Corporation (MCC)Household Economic Variables -- HOUSEHOLDNumber of rontabole<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of rontabole housing units. A Rontabole is a round room with a pitched thatched, tiled or corrugated iron roof and walls of local materials such as sandstone, rubble, or mud brick and render. Floors are normally earth, but can also be cement. There is normally no ceiling.001122334455+Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms in rontabole<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of rooms in rontabole housing units.001122334455+Dwelling Characteristics Variables -- HOUSEHOLDNumber of heisi<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of heisi houseing units. Heisi are rectangular buildigns with thatched roof and walls of sandstone, rubble, mud, sand, cement, brick and render. Internally, the heisi is normally finished and the number of rooms is usally three or less.00112233+Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms in heisi<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of rooms in heisi housing units.00112233+Dwelling Characteristics Variables -- HOUSEHOLDNumber of polata<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of polata. A polata is a rectangular building with a flat, currugated iron roof and walls of concrete blocks, sandstone, rubble, burnt or mud bricks. This type of dwelling may be rendered and decorated externally. The level of internal finish is highly variable from flooring of earth or concrete covered by linoleum or vinyal tiles and ceilings either not installed or of decorated rhino board. There are usually three rooms or less.0011223344+Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms in polata<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of rooms in polata housing units.0000110220330440550660770880991010+Dwelling Characteristics Variables -- HOUSEHOLDNumber of malaene<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of malaene housing units. A rectangular building normally of concrete blocks or local bricks with a flatt corrugated iron roof which normally comprises single rooms for rent to individual households. The standard of internal is highly variable. The definition of habitable rooms in the malaene accepted that the norm is to combine living, cookings, eating, and sleeping arrangements in a single room.0011223344+Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms in malaene<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of rooms in malaene housing units.00112233445566+Dwelling Characteristics Variables -- HOUSEHOLDNumber of optaka<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of optaka houseing units. A single story house of rectangular L or T design with a double pitched roof of corrugated iron of sheets or thatch. Walls are normally off sandstone, rubble, brick, or concrete block. Internal finishes are highly variable. The optaka is considered to have five or less habitable rooms.00112233+Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms in optaka<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of rooms in optaka housing units.00112233445566778899+Dwelling Characteristics Variables -- HOUSEHOLDNumber of apartments<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of apartments. A single or multi-story complex of self-contained dwelling units built of modern construction materials such as concrete block or first grade brick with flat or double pitched roof of corrugated iron sheets or tiles. These housing units are normally rented out. The factor which distinguish the apartment units from malaena is the number of habitable rooms and the level of services.0011+Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms in apartment<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of rooms in apartment housing unit.0011 to 23344556677+Dwelling Characteristics Variables -- HOUSEHOLDNumber of bungalows<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of bungalow units. A single or multiple story house of variable design with either flat or double pitched roof of corrugated iron sheet, tiles, or thatch. Walls may be of sanstone, first grade brick or rendered and decorated concrete block. The level of internal finishes normally includes cement floors and rhino board ceiling.001122+Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms in bungalow<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of rooms in bungalow.0000110220330440550660770880991010+Dwelling Characteristics Variables -- HOUSEHOLDNumber of temporary sturctures<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of temporary sturctures. Informal housing structures commonly built by old and disused roofing materials. They do not normally have defined space and are characterized by inhabitable living conditions. Also called Mok'huk'hu.001122+Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms in temporary structure<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>52. Number and types of housing units </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><p>53. Number of rooms </p>
<div class="i1">_ _ Rontabole <br />_ _ Heisi<br />_ _ Polata<br />_ _ Malaene <br />_ _ Optaka<br />_ _ Apartment houses <br />_ _ Bungalow<br />_ _ Temporary structure</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>123. Column 52: Number of housing units.</p>
<div class="i1">Please record the number of housing units in the household. If the household has two <span class="lang">rontaboles</span> and one <span class="lang">polata</span>, then the number of housing units is 2 for <span class="lang">rontabole</span> and 1 for <span class="lang">polata</span>. Check annex 4 for definitions of different types of houses.</div><p>124. Column 53: Number of rooms.</p>
<div class="i1">Please record the number of rooms for each housing unit in the household. Do not include bathroom and toilet, include garages if they are used for living purposes, and exclude the garage if it keeps the car. If the household has more than one house, enter number of rooms for each building excluding the stables and rooms used for agricultural purposes.</div>Lesotho 2006: All householdsThis variable indicates the number of rooms in temporary structure housing units.00112233+Dwelling Characteristics Variables -- HOUSEHOLDMain type of house<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>54. Main type of house </p>
<div class="i1">[] 1 Rontabole <br />[] 2 Heisi<br />[] 3 Polata<br />[] 4 Malaene <br />[] 5 Optaka<br />[] 6 Apartment houses <br />[] 7 Bungalow <br />[] 8 Temporary structure / mok'huk'hu</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>125. Column 54: Main type of house</p>
<div class="i1">Ask for the main type of house and code according to list. Check annex 4 for definitions of different types of houses.</div><div class="i2">Annex 4 [pg. 59-60]<br />Types of Houses<br />1.<span class="lang"> Rontabole</span><br /> A round building with a pitched thatched, tiled or corrugated iron roof and walls of local of local materials such as sandstone, rubble or mud brick and render. Floors are normally earth, but can also be cement. There is normally no ceiling.<br />2. <span class="lang">Heisi</span><br />A rectangular building with a thatched roof and walls of sandstone, rubble, mud, sand, cement, brick and render. Internally the<span class="lang"> heisi </span>is normally finished as for the <span class="lang">rontabole</span> and the number of rooms is usually three or less.<br />3. <span class="lang">Polata</span><br />A rectangular building with a flat corrugated iron roof and walls of concrete blocks, sandstone, rubble, burnt or mud bricks. This type of dwelling may be rendered and decorated externally. The level of internal finish is highly variable from flooring of earth or concrete covered by linoleum or vinyl tiles and ceilings either not installed or of decorated rhino board. It usually has three rooms or less.<br />4. <span class="lang">Malaene</span><br /> Rectangular building normally of concrete blocks or local bricks with a flat corrugated iron roof, which normally comprises single rooms for rent to individual household. The standard of internal is highly variable. The definition of habitable rooms in the <span class="lang">Malaene</span> accepted that the norm is to combine living, cooking, eating and sleeping arrangements in a single room.<br />5. <span class="lang">Optaka</span><br />A single storey house of a rectangular, L or T design with a double-pitched roof of corrugated iron of corrugated iron sheets or thatch. Walls are normally of sandstone, rubble, brick or concrete blocks. Internal finishes are highly variable. The <span class="lang">Optaka</span> is considered to have five or less habitable rooms.<br />6. Bungalow<br />A single or multiple story house of variable designed with either flat or double-pitched roof of corrugated iron sheets, tiles, or thatch. Walls may be of sandstone, first grade brick or rendered and decorated concrete block. The level of internal finishes normally includes cement flooring and rhino board ceiling.<br />7. Apartment own house<br />A single or multi-story complex of self-contained dwelling units built of modem construction materials such as concrete block or first-grade brick with flat or double pitched roof of corrugated iron sheets or tiles. These housing units are normally rented out. The factor which distinguishes the apartment/town house units from <span class="lang">malaene</span> is the number of habitable rooms and the level of services.<br />8. Temporary structure/<span class="lang">Mok'huk'hu</span><br />Informal housing structure commonly built by old and disused roofing materials. They don't normally have defined space and are characterized by inhabitable living conditions.</div>Lesotho 2006: All householdsThis variable indicates the main type of housing unit of the household.1Rontabole2Heisi3Polata4Malaene5Optaka6Apartment7Bungalow8Temporary structure 9Unknown Group Quarters Variables -- HOUSEHOLDWalls materials<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>55. Main material of construction of walls of the main type of house</p>
<div class="i1">[] 1 Burned bricks<br />[] 2 Cement bricks <br />[] 3 Mud bricks<br />[] 4 Stick and mud<br />[] 5 Corrugated iron <br />[] 6 Stone<br />[] 7 Other, specify ____</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>126. Column 55: Main material of construction of walls of the main type of house.</p>
<div class="i1">Please code according to the list.</div>Lesotho 2006: All householdsThis variable indicates the walls materials of the household.1Burned brick2Cement bricks3Mud bricks4Sticks and mud5Corrugated iron6Stone7OtherDwelling Characteristics Variables -- HOUSEHOLDFloor materials<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>56. Main material of the floor of the main type of house</p>
<div class="i1">[] 1 Brick tiles<br />[] 2 Tiles <br />[] 3 Mud and dung<br />[] 4 Wood <br />[] 5 Cement <br />[] 6 Vinyl/ linoleum<br />[] 7 Carpet <br />[] 8 Other, specify ____</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>127. Column 56: Main material of floor of the main type of house.</p>
<div class="i1">Please code according to the list.</div>Lesotho 2006: All householdsThis variable indicates the floor materials of the household.1Brick tiles2Tiles3Mud and dung4Wood5Cement6Vinyl or linoleum7Carpet8OtherDwelling Characteristics Variables -- HOUSEHOLDRoof materials<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>57. Main material of the roof of the main type of house </p>
<div class="i1">[] 1 Thatch/ straw <br />[] 2 Roof tiles <br />[] 3 Corrugated iron <br />[] 4 Other, specify ____</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>128. Column 57: Main material of construction of roof of the main type of house.</p>
<div class="i1">Please code according to the list.</div>Lesotho 2006: All householdsThis variable indicates the roof materials of the household.1Thatch or straw2Roof tiles3Corrugated iron4OtherDwelling Characteristics Variables -- HOUSEHOLDFuel for cooking<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>58. Main fuel for cooking</p>
<div class="i1">[] 0 Electricity (mains)<br />[] 1 Electricity (generator) <br />[] 2 Electricity (solar)<br />[] 3 Gas <br />[] 4 Paraffin<br />[] 5 Coal <br />[] 6 Wood <br />[] 7 Dung<br />[] 8 Crop waste <br />[] 9 Other, specify ____</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>129. Column 58-60: Relate to main types of fuel used by the household for cooking, heating, and lighting.</p>
<div class="i1">Use the codes provided in each question.</div>Lesotho 2006: All householdsThis variable indicates the main source of fuel for cooking for the household.1Electricity2Gas3Paraffin4Coal5Wood6Dung7Crop waste8OtherUtilities Variables -- HOUSEHOLDFuel for heating<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>59. Main fuel for heating </p>
<div class="i1">[] 0 Electricity (mains)<br />[] 1 Electricity (generator) <br />[] 2 Electricity (solar)<br />[] 3 Gas <br />[] 4 Paraffin<br />[] 5 Coal <br />[] 6 Wood <br />[] 7 Dung<br />[] 8 Crop waste <br />[] 9 Other, specify ____</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>129. Column 58-60: Relate to main types of fuel used by the household for cooking, heating, and lighting.</p>
<div class="i1">Use the codes provided in each question.</div>Lesotho 2006: All householdsThis variable indicates the main source of fuel for heating for the household.1Electricity2Gas3Paraffin4Coal5Wood6Dung7Crop waste8OtherUtilities Variables -- HOUSEHOLDSource of lighting<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>60. Main fuel for lighting</p>
<div class="i1">[] 0 Electricity (mains)<br />[] 1 Electricity (generator) <br />[] 2 Electricity (solar)<br />[] 4 Electricity (battery)<br />[] 5 Gas <br />[] 6 Paraffin<br />[] 7 Candle<br />[] 8 Other, specify ____</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>129. Column 58-60: Relate to main types of fuel used by the household for cooking, heating, and lighting.</p>
<div class="i1">Use the codes provided in each question.</div>Lesotho 2006: All householdsThis variable indicates the main source of fuel for lighting for the household.1Electricity from mains2Electricity from generator 3Electricity from solar4Electricity from battery5Gas6Paraffin7Candles8OtherUtilities Variables -- HOUSEHOLDToilet type<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>61. Main toilet facility</p>
<div class="i1">[] 1 No toilet<br />[] 2 Sewage system <br />[] 3 Septic tank<br />[] 4 Soak away <br />[] 5 Pit latrine<br />[] 6 VIP</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>130. Column 61: Main toilet facility.</p>
<div class="i1">Please code according to the list.</div>Lesotho 2006: All householdsThis variable indicates the toilet facility of the household.1No toilet2Sewage system3Septic tank4Soak away5Pit latrine6Ventilated improved pit (VIP)Dwelling Characteristics Variables -- HOUSEHOLDMain source of drinking water<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>62. What is the source of drinking water for the household?</p>
<div class="i1">[] 1 Piped water on premise <br />[] 2 Piped water community supply <br />[] 3 Catchment tank <br />[] 4 Public well <br />[] 5 Private well <br />[] 6 Spring covered <br />[] 7 Spring not covered <br />[] 8 River <br />[] 9 Private borehole<br />[] 10 Public borehole<br />[] 11 Other, specify ____</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>131. Column 62: What is the source of drinking water for the household?</p>
<div class="i1">Column 62 relates to source of drinking water for the household. Code according to the response and the given list.</div>Lesotho 2006: All householdsThis variable indicates the main source of drinking water of the household.01Piped water on premises02Piped water community supply03Catchment tank04Public well05Private well06Spring covered07Spring uncovered08River09Private borehole10Public borehole11OtherUtilities Variables -- HOUSEHOLDTime to get water (minutes)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>63. How long does it take to get water? </p>
<div class="i1">[Skip this question if coded 1,5 or 9 in Question 62.]<br />State time in minutes. I.e. to go, get water and come back walking.<br /><br />[] 1 00-14 Minutes <br />[] 2 15-29 Minutes <br />[] 3 30-44 Minutes <br />[] 4 45-49 Minutes <br />[] 5 50-59 Minutes <br />[] 6 60-119 Minutes <br />[] 7 120 plus minutes</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>132. Column 63: How long does it take to get water?</p>
<div class="i1">Please record the minutes the household takes to get to the source of drinking water, get water and come back (walking).</div>Lesotho 2006: All householdsThis variable indicates the time (minutes) to get water of the household.100 to 14 minutes215 to 29 minutes330 to 44 minutes445 to 49 minutes550 to 59 minutes660 to 119 minutes7120+ minutesOther Household Variables -- HOUSEHOLDRadio<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>64. Possession of one of the following by one of the household members.</p>
<p>A. Possession of radio</p>
<div class="i1">[] 1 Yes <br />[] 2 No</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>133. Column 64: Possession of certain assets in the household</p>
<div class="i1">State whether the household possesses a working radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet and computer, or not. A household possesses a 'working' radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer, if at least one member possesses one of the mentioned items and are items present in the household. A radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer are considered to be 'working' if they were 'working' in the past month.</div>Lesotho 2006: All householdsThis variable indicates whether at least one member of the household possesses a working radio. Working indicates that it worked in the past month.1Yes2NoAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDTelevision<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>64. Possession of one of the following by one of the household members.</p>
<p>B. Possession of television</p>
<div class="i1">[] 1 Yes <br />[] 2 No</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>133. Column 64: Possession of certain assets in the household</p>
<div class="i1">State whether the household possesses a working radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet and computer, or not. A household possesses a 'working' radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer, if at least one member possesses one of the mentioned items and are items present in the household. A radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer are considered to be 'working' if they were 'working' in the past month.</div>Lesotho 2006: All householdsThis variable indicates whether at least one member of the household possesses a working television. Working indicates that it worked in the past month.1Yes2NoAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDPhone<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>64. Possession of one of the following by one of the household members.</p>
<p>C. Possession of telephone</p>
<div class="i1">[] 1 Yes <br />[] 2 No</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>133. Column 64: Possession of certain assets in the household</p>
<div class="i1">State whether the household possesses a working radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet and computer, or not. A household possesses a 'working' radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer, if at least one member possesses one of the mentioned items and are items present in the household. A radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer are considered to be 'working' if they were 'working' in the past month.</div>Lesotho 2006: All householdsThis variable indicates whether at least one member of the household possesses a working phone. Working indicates that it worked in the past month.1Yes2NoUtilities Variables -- HOUSEHOLDCellular phone<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>64. Possession of one of the following by one of the household members.</p>
<p>D. Possession of cellular phone</p>
<div class="i1">[] 1 Yes <br />[] 2 No</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>133. Column 64: Possession of certain assets in the household</p>
<div class="i1">State whether the household possesses a working radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet and computer, or not. A household possesses a 'working' radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer, if at least one member possesses one of the mentioned items and are items present in the household. A radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer are considered to be 'working' if they were 'working' in the past month.</div>Lesotho 2006: All householdsThis variable indicates whether at least one member of the household possesses a working cellular phone. Working indicates that it worked in the past month.1Yes2NoUtilities Variables -- HOUSEHOLDRefrigerator<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>64. Possession of one of the following by one of the household members.</p>
<p>E. Possession of refrigerator </p>
<div class="i1">[] 1 Yes <br />[] 2 No</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>133. Column 64: Possession of certain assets in the household</p>
<div class="i1">State whether the household possesses a working radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet and computer, or not. A household possesses a 'working' radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer, if at least one member possesses one of the mentioned items and are items present in the household. A radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer are considered to be 'working' if they were 'working' in the past month.</div>Lesotho 2006: All householdsThis variable indicates whether at least one member of the household possesses a working refrigerator. Working indicates that it worked in the past month.1Yes2NoAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDMatress<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>64. Possession of one of the following by one of the household members.</p>
<p>F. Possession of bed/mattress</p>
<div class="i1">[] 1 Yes <br />[] 2 No</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>133. Column 64: Possession of certain assets in the household</p>
<div class="i1">State whether the household possesses a working radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet and computer, or not. A household possesses a 'working' radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer, if at least one member possesses one of the mentioned items and are items present in the household. A radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer are considered to be 'working' if they were 'working' in the past month.</div>Lesotho 2006: All householdsThis variable indicates whether at least one member of the household possesses a bed or matress.1Yes2NoAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDCar<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>64. Possession of one of the following by one of the household members.</p>
<p>G. Possession of car</p>
<div class="i1">[] 1 Yes <br />[] 2 No</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>133. Column 64: Possession of certain assets in the household</p>
<div class="i1">State whether the household possesses a working radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet and computer, or not. A household possesses a 'working' radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer, if at least one member possesses one of the mentioned items and are items present in the household. A radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer are considered to be 'working' if they were 'working' in the past month.</div>Lesotho 2006: All householdsThis variable indicates whether at least one member of the household possesses a working car. Working indicates that it worked in the past month.1Yes2NoAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDScotch cart<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>64. Possession of one of the following by one of the household members.</p>
<p>H. Possession of scotch cart</p>
<div class="i1">[] 1 Yes <br />[] 2 No</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>133. Column 64: Possession of certain assets in the household</p>
<div class="i1">State whether the household possesses a working radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet and computer, or not. A household possesses a 'working' radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer, if at least one member possesses one of the mentioned items and are items present in the household. A radio, television, telephone, cell, fridge, bed/mattress, car, scotch cart, internet, computer are considered to be 'working' if they were 'working' in the past month.</div>Lesotho 2006: All householdsThis variable indicates whether at least one member of the household possesses a working scotch cart. Working indicates that it worked in the past month.1Yes2NoAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDFields (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of fields owned by one of the household members present in the household.001122334455667788+Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDCattle (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of cattle owned by one of the household members present in the household.000011022033044055066077088099101011111212131314141515 to 192020+Household Economic Variables -- HOUSEHOLDSheep (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of sheep owned by one of the household members present in the household.000011022033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030 to 394040 to 495050 to 596060+Household Economic Variables -- HOUSEHOLDGoats (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of goats owned by one of the household members present in the household.0000110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525 to 293030 to 394040 to 495050+Household Economic Variables -- HOUSEHOLDHorses (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of horses owned by one of the household members present in the household.0011223344556677+Household Economic Variables -- HOUSEHOLDDonkeys (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of donkeys owned by one of the household members present in the household.0011223344556677+Household Economic Variables -- HOUSEHOLDPigs (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of pigs owned by one of the household members present in the household.0000110220330440550660770880991010+Household Economic Variables -- HOUSEHOLDUnimproved poultry (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of unimproved poultry owned by one of the household members present in the household.0000110220330440550660770880991010111112121313141415151616171718181919202021212222232324242525 to 293030+Household Economic Variables -- HOUSEHOLDImproved poultry (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of improved poultry owned by one of the household members present in the household.000000110022003300440055006600770088009901010 to 4905050 to 99100100+Household Economic Variables -- HOUSEHOLDRabbits (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of rabbits owned by one of the household members present in the household.0011223344+Household Economic Variables -- HOUSEHOLDMules (number)<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>65. Do you own one of the following? </p>
<div class="i1">Fields _ _ <br />Cattle _ _ _ _ <br />Sheep _ _ _ _ <br />Goat's _ _ __ _ <br />Horses _ _ <br />Donkeys _ _ <br />Pigs _ _ <br />Unimproved poultry _ _ _ _ <br />Improved poultry _ _ _ _ <br />Rabbits _ _ <br />Mules _ _</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>134. Column 65: Number and type of certain agricultural assets.</p>
<div class="i1">Please record the number of fields, cattle, sheep, goats, horses, donkeys, pigs, improved poultry, unimproved poultry, mules and rabbits owned by one of the household members and are present in the household. Use the codes provided.</div>Lesotho 2006: All householdsThis variable indicates the number of mules owned by one of the household members present in the household.001122+Household Economic Variables -- HOUSEHOLDWaste disposal in the hosehold<span class="h2">Section H. Housing characteristics and household possessions</span></p>
<p>66. How does this household dispose of its refuse/ rubbish?</p>
<div class="i1">[] 1 Regularly collected <br />[] 2 Irregular collected <br />[] 3 Common refuse dump<br />[] 4 Own refuse dump<br />[] 5 Roadside dumping<br />[] 6 Other, specify ____</div><span class="h2">Part H of the questionnaire</span>
<br />Housing Characteristics and Household Possessions (for the household head)</p>
<p>135. Column 66: How does this household dispose of its refuse/rubbish?</p>
<div class="i1">State where the household disposes of its refuse or rubbish. Code according to the response and the list given.</div>Lesotho 2006: All householdsThis variable indicates how this household disposes off its waste refuse.1Regularly collected2Irregularly collected3Communal refuse dump4Own refuse dump5Roadside dumpUtilities Variables -- HOUSEHOLDNumber of deaths (last 12 months)<span class="h2">Section I. Deaths of household members during past 12 months (Since April 2005)</span></p>
<p>67. Did death occur in the household since April 2005? </p>
<div class="i1">[] 1 Yes <br />[] 2 No [If no, go to next household.]</div><span class="h2">Part I of the questionnaire</span>
<br />Deaths of the Household Members during the Past 12 Months, Since April 2005</p>
<p>136. State the name, sex, age, and cause of death of all the members of the household that died in the past 12 months, that is since April 2005Lesotho 2006: All householdsThis variable indicates the number of deaths in the household in the last 12 months (since April 2005.)00112233+Other Household Variables -- HOUSEHOLDPerson numberPERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.PERNUM is a 4-digit numeric variable.Technical Person Variables -- PERSONPerson weightPERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.Technical Person Variables -- PERSONResidence status: de facto, de jureRESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents. It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night.
De jure population: present residents and absent residents.
De facto population: present residents and visitors/non-residents.1Present resident2Absent resident3Visitor/non-resident4De facto population (present persons)9Unknown/missingTechnical Person Variables -- PERSONMother's location in householdMOMLOC 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 motherConstructed Family Interrelationship Variables -- PERSONFather's location in householdPOPLOC 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 fatherConstructed Family Interrelationship Variables -- PERSONSpouse's location in householdSPLOC 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 spouseConstructed Family Interrelationship Variables -- PERSONRule for linking parentPARRULE 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.00No parent of person in household11Link to head or spouse, unambiguous12Link to head or spouse, ambiguous21Child-Grandchild, within empirical child cap22Child-Grandchild, within constructed child cap23Child-Grandchild, exceeds child cap31Specified Other Relatives, within empirical child cap32Specified Other Relatives, within constructed child cap33Specified Other Relatives, exceeds child cap41Other Relatives, within empirical child cap42Other Relatives, within constructed child cap51Non-Relatives, within empirical child cap52Non-Relatives, within constructed child capConstructed Family Interrelationship Variables -- PERSONRule for linking spouseSPRULE 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.00No spouse present01Rule 1: strong relationship pairing, couple adjacent02Rule 2: strong relationship pairing, couple not adjacent03Rule 3: weak relationship pairing, couple adjacent04Rule 4: weak relationship pairing, couple not adjacent05Rule 5: weak consensual union pairings06Rule 6: sample-specific rules (usually child-to-child)Constructed Family Interrelationship Variables -- PERSONProbable stepmotherSTEPMOM 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.0Biological mother or no mother present1Mother has no children born or surviving2Child reports mother is deceased3Explicitly identified step relationship4Mother reports no children in the home5Age difference implausible6Child exceeds known fertility of motherConstructed Family Interrelationship Variables -- PERSONProbable stepfatherSTEPPOP 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.0Biological father or no father present1Child reports father is deceased2Explicitly identified step relationship3Age difference implausible4Spouse of mother5Identified as adopted6Surname difference -- male child or never-married femaleConstructed Family Interrelationship Variables -- PERSONMan with more than one wife linkedPOLYMAL 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.0No more than one wife linked via SPLOC1More than one wife linked via SPLOCConstructed Family Interrelationship Variables -- PERSONWoman is second or higher order wifePOLY2ND 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.0Person is not the 2nd or higher order wife linked via SPLOC1Person is the 2nd or higher order wife linked via SPLOCConstructed Family Interrelationship Variables -- PERSONFamily unit membershipFAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).FAMUNIT is a 4-digit numeric variable.
CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on.Constructed Family Interrelationship Variables -- PERSONNumber of own family members in householdFAMSIZE 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).00011 family member present00022 family members present00033 family members present000440005500066000770008800099001010001111001212001313001414001515001616001717001818001919002020002121002222002323002424002525002626002727002828002929003030003131003232003333003434003535003636003737003838003939004040004141004242004343004444004545004646004747004848004949005050005151005252005353005454005555005656005757005858005959006060006161006262006363006464006565006666006767006868006969007070007171007272007373007474007575007676007777007878007979008080008181008282008383008484008585008686008787008888008989009090009191009292009393009494009595009696009797009898009999 or more personsConstructed Family Interrelationship Variables -- PERSONNumber of own children in householdNCHILD 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.000011022033044055066077088099 or more children in householdConstructed Family Interrelationship Variables -- PERSONNumber of own children under age 5 in householdNCHLT5 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.000011022033044055066077088099 or more own children under age 5 in household98One or more children have unknown ageConstructed Family Interrelationship Variables -- PERSONAge of eldest own child in householdELDCH 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.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050 or older98One or more children have unknown age99No own child in householdConstructed Family Interrelationship Variables -- PERSONAge of youngest own child in householdYNGCH 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.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050 or older98One or more children have unknown age99No own child in householdConstructed Family Interrelationship Variables -- PERSONRelationship to household head [general version]RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).1Head2Spouse/partner3Child4Other relative5Non-relative6Other relative or non-relative9UnknownDemographic Variables -- PERSONRelationship to household head [detailed version]RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).1000Head2000Spouse/partner2100Spouse2200Unmarried partner2210Civil union2300Same-sex spouse/partner3000Child3100Biological child3200Adopted child3300Stepchild3400Child/child-in-law3500Child/child-in-law/grandchild3600Child of unmarried partner4000Other relative4100Grandchild4110Grandchild or great grandchild4120Great grandchild4130Great-great grandchild4200Parent/parent-in-law4210Parent4211Stepparent4220Parent-in-law4300Child-in-law4301Daughter-in-law4302Spouse/partner of child4310Unmarried partner of child4400Sibling/sibling-in-law4410Sibling4420Stepsibling4430Sibling-in-law4431Sibling of spouse/partner4432Spouse/partner of sibling4500Grandparent4510Great grandparent4600Parent/grandparent/ascendant4700Aunt/uncle4800Other specified relative4810Nephew/niece4820Cousin4830Sibling's sibling-in-law4900Other relative, not elsewhere classified4910Other relative with same family name4920Other relative with different family name4930Other relative, not specified (secondary family)5000Non-relative5100Friend/guest/visitor/partner5110Partner/friend5111Friend5112Partner/roommate5113Housemate/roommate5120Visitor5130Ex-spouse5140Godparent5150Godchild5200Employee5210Domestic employee5220Relative of employee, n.s.5221Spouse of servant5222Child of servant5223Other relative of servant5300Roomer/boarder/lodger/foster child5310Boarder5311Boarder or guest5320Lodger5330Foster child5340Tutored/foster child5350Tutored child5400Employee, boarder, or guest5500Other specified non-relative5510Agregado5520Temporary resident, guest5600Group quarters5610Group quarters, non-inmates5620Institutional inmates5900Non-relative, n.e.c.6000Other relative or non-relative9999UnknownDemographic Variables -- PERSONAgeAGE gives age in years as of the person's last birthday prior to or on the day of enumeration.000Less than 1 year0011 year0022 years0033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100+999Not reported/missingDemographic Variables -- PERSONAge, grouped into intervalsAGE2 gives computed years of age grouped into intervals.010 to 4025 to 90310 to 140415 to 19050 to 5066 to 100710 to 150811 to 140915 to 171016 to 191118 to 241220 to 241325 to 291430 to 341535 to 391640 to 441745 to 491850 to 541955 to 592060 to 642165 to 692270 to 742375 to 792480 to 842585+98UnknownDemographic Variables -- PERSONSexSEX reports the sex (gender) of the respondent.1Male2Female9UnknownDemographic Variables -- PERSONMarital status [general version]MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.0NIU (not in universe)1Single/never married2Married/in union3Separated/divorced/spouse absent4Widowed9Unknown/missingDemographic Variables -- PERSONMarital status [detailed version]MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.000NIU (not in universe)100Single/never married110Engaged111Never married and never cohabited200Married or consensual union210Married, formally211Married, civil212Married, religious213Married, civil and religious214Married, civil or religious215Married, traditional/customary216Married, monogamous217Married, polygamous219Married, spouse absent (historical samples)220Consensual union300Separated/divorced/spouse absent310Separated or divorced320Separated or annulled330Separated331Separated legally332Separated de facto333Separated from marriage334Separated from consensual union335Separated from consensual union or marriage340Annulled350Divorced400Widowed410Widowed or divorced411Widowed from consensual union or marriage412Widowed from marriage413Widowed from consensual union420Widowed, divorced, or separated999Unknown/missingDemographic Variables -- PERSONConsensual unionCONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.1Yes, in consensual union2No, married8Unknown9NIU (not in universe)Demographic Variables -- PERSONPolygamous unionPOLYGAM indicates whether the respondent was in a polygamous union and, in some samples, the number of wives or the rank order of the wife.00NIU (not in universe)01No, in monogamous union02Yes, in polygamous union03Man in polygamous union04Polygamous man, 2 wives05Polygamous man, 3 or more wives06Woman in polygamous union07Polygamous marriage, 2 wives08Polygamous marriage, 3 or more wives09First wife10Second wife11Third or higher order wife99Unknown/missingDemographic Variables -- PERSONAge at first marriage or unionAGEMARR indicates the person's age at first marriage or consensual union.00NIU (not in universe)1010 or younger111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949505051515252535354545555565657575858595960606161626263636464656566666767686869697070717172727373747475757676777778787979808081818282838384848585868687878888898990909191929293939494959596969797989899UnknownDemographic Variables -- PERSONYear of birthBIRTHYR gives the person's year of birth.0000NIU (not in universe)162816281629162916301630163116311634163416351635163616361637163716381638163916391640164016411641164216421643164316441644164516451646164616471647164816481649164916501650165116511652165216531653165416541655165516561656165716571658165816591659166016601661166116621662166316631664166416651665166616661667166716681668166916691670167016711671167216721673167316741674167516751676167616771677167816781679167916801680168116811682168216831683168416841685168516861686168716871688168816891689169016901691169116921692169316931694169416951695169616961697169716981698169916991700170017011701170217021703170317041704170517051706170617071707170817081709170917101710171117111712171217131713171417141715171517161716171717171718171817191719172017201721172117221722172317231724172417251725172617261727172717281728172917291730173017311731173217321733173317341734173517351736173617371737173817381739173917401740174117411742174217431743174417441745174517461746174717471748174817491749175017501751175117521752175317531754175417551755175617561757175717581758175917591760176017611761176217621763176317641764176517651766176617671767176817681769176917701770177117711772177217731773177417741775177517761776177717771778177817791779178017801781178117821782178317831784178417851785178617861787178717881788178917891790179017911791179217921793179317941794179517951796179617971797179817981799179918001800180118011802180218031803180418041805180518061806180718071808180818091809181018101811181118121812181318131814181418151815181618161817181718181818181918191820182018211821182218221823182318241824182518251826182618271827182818281829182918301830183118311832183218331833183418341835183518361836183718371838183818391839184018401841184118421842184318431844184418451845184618461847184718481848184918491850185018511851185218521853185318541854185518551856185618571857185818581859185918601860186118611862186218631863186418641865186518661866186718671868186818691869187018701871187118721872187318731874187418751875187618761877187718781878187918791880188018811881188218821883188318841884188518851886188618871887188818881889188918901890189118911892189218931893189418941895189518961896189718971898189818991899190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201220132013201420142015201520162016201720172018201820192019202020209999UnknownDemographic Variables -- PERSONMonth of birthBIRTHMO indicates the person's month of birth.01January02February03March04April05May06June07July08August09September10October11November12December98Unknown99NIU (not in universe)Demographic Variables -- PERSONChildren ever bornCHBORN 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.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren survivingCHSURV reports the number of children born to a woman who were still living at the time of the census.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of female children ever bornCHBORNF indicates the number of female children ever born to a woman. Only live births are counted.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of male children ever bornCHBORNM indicates the number of male children ever born to a woman. Only live births are counted.00No children011 child022 children033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of female children survivingCHSURVF indicates the number of female children ever born to a woman still living at the time of the census.00No children011 child022 children03304405506607708809910101111121213131414151516161717181819192020+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of male children survivingCHSURVM indicates the number of male children ever born to a woman still living at the time of the census.00No children011 child022 children03304405506607708809910101111121213131414151516161717181819192020+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONMonth of last birthLASTBMO indicates the month of birth of the last child born by the respondent. The data refer to live births.01January02February03March04April05May06June07July08August09September10October11November12December98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONYear of last birthLASTBYR indicates the year of birth of the last child born by the respondent. The data refer to live births.190019001901190119021902190319031904190419051905190619061907190719081908190919091910191019111911191219121913191319141914191519151916191619171917191819181919191919201920192119211922192219231923192419241925192519261926192719271928192819291929193019301931193119321932193319331934193419351935193619361937193719381938193919391940194019411941194219421943194319441944194519451946194619471947194819481949194919501950195119511952195219531953195419541955195519561956195719571958195819591959196019601961196119621962196319631964196419651965196619661967196719681968196919691970197019711971197219721973197319741974197519751976197619771977197819781979197919801980198119811982198219831983198419841985198519861986198719871988198819891989199019901991199119921992199319931994199419951995199619961997199719981998199919992000200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201220132013201420142015201520162016201720172018201820192019202020209998Unknown9999NIU (not in universe)Fertility and Mortality Variables -- PERSONSex of last birthLASTBSEX indicates the sex of a woman's most recent birth.0NIU (not in universe)1Male2Female3Both sexes (multiple births)9UnknownFertility and Mortality Variables -- PERSONNumber of children deadCHDEAD 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.00None01102203304405506607708809910101111121213131414151516161717181819192020+98Unknown/missing99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of female children deadCHDEADFEM 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.00None01102203304405506607708809910101111121213131414151516161717181819192020+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of male children deadCHDEADMALE 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.00None01102203304405506607708809910101111121213131414151516161717181819192020+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONMortality status of last birthLASTBMORT 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.0NIU (not in universe)1Alive2Dead9UnknownFertility and Mortality Variables -- PERSONMortality status of motherMORTMOT indicates whether the person's biological mother was still living at the time of the census.1Alive2Dead7Does not know8Missing9NIU (not in universe)Fertility and Mortality Variables -- PERSONMortality status of fatherMORTFAT indicates whether the person's biological father was still living.1Alive2Dead7Does not know8Missing9NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of own children in householdHOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census.00001102203304405506607708809910101111121213131414151516161717181819192020+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of own female children in householdHOMEFEM indicates the number of female children born living in the household with their mother (the respondent).00None0110220330440550660770880991010111112121313141417172020+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of own male children in householdHOMEMALE indicates the number of male children born living in the household with their mother (the respondent).00None01102203304405506607708809910101111121213131414151516161717181819192020+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of own children living elsewhereAWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census.0000110220330440550660770880991010111112121313141415151616171718181919202098Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of own female children living elsewhereAWAYFEM indicates the number of surviving biological female children not living in the household with their mother (the respondent).00None01102203304405506607708809910101111121213131414151516161717181819192020+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of own male children living elsewhereAWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent).00None0110220330440550660770880991010111112121313141415151616171718181919202098Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONNativity statusNATIVITY indicates whether the person was native-born or foreign-born.0NIU (not in universe)1Native-born2Foreign-born9Unknown/missingNativity and Birthplace Variables -- PERSONCountry of birthBPLCOUNTRY indicates the person's country of birth.00000NIU (not in universe)10000Africa11000Eastern Africa11005British Indian Ocean Territory11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11051Ethiopia (including Eritrea)11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, other or n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo (Republic of)12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12090Sao Tome and Principe12999Middle Africa, other or n.s.13000Northern Africa13010Algeria13011Algeria/Tunisia13020Egypt13021Egypt/Sudan13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, other or n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, other or n.s.15000Western Africa15010Benin15020Burkina Faso15021Upper Volta15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15081Guinea-Bissau and Cape Verde15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15180Canary Islands15999West Africa, other or n.s.19999Africa, other or n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. John21220St. Lucia21230St Thomas21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21991Caribbean commonwealth, n.s.21999Caribbean, other or n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, other or n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23999South America, other or n.s.24000North America24010Bermuda24020Canada24030Greenland24040United States24999North America, other or n.s.29999Americas, other or n.s.30000Asia31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia31999Eastern Asia, other or n.s.32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32041India/Pakistan32042India/Pakistan/Bangladesh/Sri Lanka32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32101Pakistan/Bangladesh32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32999South-Central Asia, other or n.s.33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33999South-Eastern Asia, other or n.s.34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34051Abkhazia34052South Ossetia34060Iraq34070Israel34071Israel/Palestine34080Jordan34090Kuwait34100Lebanon34110Palestine34111West Bank34112Gaza Strip34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34991Middle East34999Western Asia, other or n.s.39999Asia, other or n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41021Bulgaria/Greece41030Czech Republic/Czechoslovakia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41991Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia41992Central-Eastern Europe41999Eastern Europe, other or n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42100Svalbard and Jan Mayen Islands42110Sweden42120United Kingdom42999Northern Europe, other or n.s.43000Southern Europe43010Albania43020Andorra43030Bosnia and Herzegovina43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43121Spain/Portugal43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43144Serbia and Montenegro43991Gibraltar/Malta43992Portugal/Greece43993Italy, Holy See, San Marino43999Southern Europe, other or n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxemburg44022Belgium/Netherlands/Luxemburg44030France44040Germany44042West Germany44043Germany/Austria44044Mecklenburg-Schwerin44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44991Belgium, Denmark, Luxembourg, Netherlands44999Western Europe, other or n.s.49992European Union49993European Union (original 15)49994Other European Union (not original 15)49999Europe, other or n.s.50000Oceania51000Australia and New Zealand51010Australia51020New Zealand51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)52999Melanesia, n.s.53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53060Federated States of Micronesia53999Micronesia, other or n.s.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Western Samoa54060Eastern Samoa54070Tokelau54080Tonga54090Tuvalu54100Wallis and Futuna Isls.54999Polynesia, other or n.s.55000U.S. Pacific Possessions55010American Samoa55020Baker Island55030Guam55040Howland Island55050Johnston Atoll55060Kingman Reef55070Midway Islands55080Wake Island55999US Pacific, other or n.s.59999Oceania, other or n.s.80000AT SEA90000Other countries n.s.99999UnknownNativity and Birthplace Variables -- PERSONCitizenshipCITIZEN indicates the person's citizenship status within the country in which they were enumerated.1Citizen, not specified2Citizen by birth3Naturalized citizen4Not a citizen5Without citizenship, stateless8Unknown9NIU (not in universe)Nativity and Birthplace Variables -- PERSONSchool attendanceSCHOOL 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.0NIU (not in universe)1Yes2No, not specified3No, attended in the past4No, never attended9Unknown/missingEducation Variables -- PERSONLiteracyLIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.0NIU (not in universe)1No, illiterate2Yes, literate9Unknown/missingEducation Variables -- PERSONEducational attainment, international recode [general version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.0NIU (not in universe)1Less than primary completed2Primary completed3Secondary completed4University completed9UnknownEducation Variables -- PERSONEducational attainment, international recode [detailed version]EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.000NIU (not in universe)100Less than primary completed (n.s.)110No schooling120Some primary completed130Primary (4 yrs) completed211Primary (5 yrs) completed212Primary (6 yrs) completed221Lower secondary general completed222Lower secondary technical completed311Secondary, general track completed312Some college completed320Secondary or post-secondary technical completed321Secondary, technical track completed322Post-secondary technical education400University completed999Unknown/missingEducation Variables -- PERSONYears of schoolingYRSCHOOL 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.00None or pre-school011 year022 years033 years044 years055 years066 years077 years088 years099 years1010 years1111 years1212 years1313 years1414 years1515 years1616 years1717 years1818 years or more90Not specified91Some primary92Some technical after primary93Some secondary94Some tertiary95Adult literacy96Special education98Unknown/missing99NIU (not in universe)Education Variables -- PERSONEducational attainment, LesothoEDUCLS indicates the person's educational attainment in Lesotho in terms of the level of schooling completed.00NIU (not in universe)10None, preschool, or non-formal education11None12Preschool13Non-formal education21Standard 122Standard 223Standard 324Standard 425Standard 526Standard 627Standard 731Diploma or certificate after primary32Vocational training after primary41Form 1 (form A)42Form 2 (form B)43Form 3 (form C)44Diploma or certificate after lower secondary45Vocational training after lower secondary51Form 4 (form D)52Form 5 (form E)60Post-secondary, non-university61Undergraduate or graduate studies62Undergraduate studies63Graduate studies90OtherEducation Variables -- PERSONActivity status (employment status) [general version]EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".0NIU (not in universe)1Employed2Unemployed3Inactive9Unknown/missingWork Variables -- PERSONActivity status (employment status) [detailed version]EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".000NIU (not in universe)100Employed, not specified110At work111At work, and 'student'112At work, and 'housework'113At work, and 'seeking work'114At work, and 'retired'115At work, and 'no work'116At work, and other situation117At work, family holding, not specified118At work, family holding, not agricultural119At work, family holding, agricultural120Have job, not at work in reference period130Armed forces131Armed forces, at work132Armed forces, not at work in reference period133Military trainee140Marginally employed200Unemployed, not specified201Unemployed 6 or more months202Worked fewer than 6 months, permanent job203Worked fewer than 6 months, temporary job210Unemployed, experienced worker220Unemployed, new worker230No work available240Inactive unemployed300Inactive (not in labor force)310Housework320Unable to work, disabled or health reasons321Permanent disability322Temporary illness323Disabled or imprisoned330In school340Retirees and living on rent341Living on rents342Living on rents or pension343Retirees/pensioners344Retired345Pensioner346Non-retirement pension347Disability pension348Retired without benefits350Elderly351Elderly or disabled360Institutionalized361Prisoner370Intermittent worker371Not working, seasonal worker372Not working, occasional worker380Other income recipient390Inactive, other reasons391Too young to work392Dependent999Unknown/missingWork Variables -- PERSONLabor force participationLABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period.
For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor.1No, not in the labor force2Yes, in the labor force8Unknown9NIU (not in universe)Work Variables -- PERSONOccupation, ISCO generalOCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.01Legislators, senior officials and managers02Professionals03Technicians and associate professionals04Clerks05Service workers and shop and market sales06Skilled agricultural and fishery workers07Crafts and related trades workers08Plant and machine operators and assemblers09Elementary occupations10Armed forces11Other occupations, unspecified or n.e.c.97Response suppressed98Unknown99NIU (not in universe)Work Variables -- PERSONOccupation, unrecodedOCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.OCC is a 4-digit numeric variable.
Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
CodesArgentina 1970 - Spanish
Argentina 1980 - Spanish
Argentina 1991 - Spanish
Argentina 2001 - Spanish
Armenia 2011
Austria 1971-2001 - German
Belarus 1999 - Russian
Belarus 2009
Benin 1979
Benin 1992
Benin 2002
Benin 2013
Bolivia 1976
Bolivia 1992
Bolivia 2001
Bolivia 2012
Botswana 1981
Botswana 1991
Botswana 2001
Botswana 2011
Brazil 1960 - Portuguese
Brazil 1970 - Portuguese
Brazil 1980 - Portuguese
Brazil 1991 - Portuguese
Brazil 2000 - Portuguese
Brazil 2010
Burkina Faso 1985
Burkina Faso 1996
Cambodia 1998
Cambodia 2004
Cambodia 2008
Cambodia 2013
Cambodia 2019
Cameroon 1976
Cameroon 2005
Canada 1971
Canada 1981-1991
Canada 2001
Canada 2011
Chile 1960
Chile 1970
Chile 1982
Chile 1992
Chile 2002
China 1982
China 1990
China 2000
Colombia 1964
Colombia 1973 - Spanish
Costa Rica 1973
Costa Rica 1984
Costa Rica 2000
Costa Rica 2011
Cote d'Ivoire 1988
Cote d'Ivoire 1998
Cuba 2002
Cuba 2012
Denmark 1845
Denmark 1880
Denmark 1885
Dominican Republic 1960
Dominican Republic 1970
Dominican Republic 1981
Dominican Republic 2002
Dominican Republic 2010
Ecuador 1962
Ecuador 1974
Ecuador 1982
Ecuador 1990
Ecuador 2001
Ecuador 2010
Egypt 1986
Egypt 2006
El Salvador 1992
El Salvador 2007
Ethiopia 1984
Ethiopia 1994
Fiji 1976
Fiji 1986
Fiji 1996
Fiji 2007
Fiji 2014
Finland 2010
France 1962-1990 - French
France 1999
France 2006
France 2011
Germany 1970
Germany 1981
Germany 1987
Ghana 1984
Ghana 2000
Ghana 2010
Greece 1971-1991 - Greek
Greece 2001 - Greek
Greece 2011
Guatemala 1964
Guatemala 1973
Guatemala 1981
Guatemala 1994
Guatemala 2002
Guinea 1983
Guinea 1996
Guinea 2014
Haiti 1982
Haiti 2003
Honduras 1961
Honduras 1974
Honduras 1988
Honduras 2001
Hungary 1970-1990
Hungary 2001
Hungary 2011
India 1983-2004
India 2009
Indonesia 1971
Indonesia 1976
Indonesia 1980
Indonesia 1985
Indonesia 1990
Indonesia 1995
Indonesia 2005
Iran 2006
Iran 2011
Iraq 1997
Ireland 1901
Ireland 1911
Ireland 1971
Ireland 1981
Ireland 1986
Ireland 1991
Ireland 1996
Ireland 2002
Ireland 2006
Ireland 2011
Ireland 2016
Israel 1972
Israel 1983
Israel 1995
Israel 2008
Italy 2001
Italy 2011
Italy Surveys 2011-2020
Jamaica 1982
Jamaica 1991
Jamaica 2001
Jordan 2004
Kenya 1989
Kyrgyz Republic 1999
Laos 1995
Lesotho 1996
Lesotho 2006
Liberia 1974
Liberia 2008
Malawi 1987
Malawi 1998
Malawi 2008
Malaysia 1970
Malaysia 1980-1991
Malaysia 2000
Mali 1987
Mali 1998
Mali 2009
Mauritius 1990
Mauritius 2000
Mauritius 2011
Mexico 1960 - Spanish
Mexico 1970 - Spanish
Mexico 1990 - Spanish
Mexico 1995 - Spanish
Mexico 2000 - Spanish
Mexico 2010
Mexico 2015
Mexico 2020
Mexico Surveys 2005-2020
Mongolia 2000
Morocco 1982
Morocco 1994
Morocco 2004
Morocco 2014
Mozambique 1997
Mozambique 2007
Myanmar 2014
Nepal 2001
Nepal 2011
Netherlands 1960
Netherlands 1971
Netherlands 2001
Netherlands 2011
Nicaragua 1971
Nicaragua 1995
Nicaragua 2005
Nigeria 2008
Nigeria 2009
Nigeria 2010
Pakistan 1973
Palestine 1997
Palestine 2007
Palestine 2017
Panama 1960 - Spanish
Panama 1970 - Spanish
Panama 1980 - Spanish
Panama 1990 - Spanish
Panama 2000 - Spanish
Panama 2010
Papua New Guinea 1980
Papua New Guinea 1990
Papua New Guinea 2000
Paraguay 1962
Paraguay 1972
Paraguay 1982
Paraguay 1992
Paraguay 2002
Peru 1993
Peru 2007
Peru 2017
Philippines 1990
Philippines 2000
Philippines 2010
Poland 1978
Poland 1988
Poland 2002
Portugal 1981 - Portuguese
Portugal 1991 - Portuguese
Portugal 2001 - Portuguese
Portugal 2011
Puerto Rico 1970
Puerto Rico 1980
Puerto Rico 1990
Puerto Rico 2000-2005
Puerto Rico 2010
Puerto Rico 2015
Puerto Rico 2020
Romania 1977
Romania 1992
Romania 2002
Romania 2011
Rwanda 2002 - French
Rwanda 2012
Saint Lucia 1991
Senegal 1988
Senegal 2002
Senegal 2013
Slovak Republic 1991
Slovak Republic 2001
Slovak Republic 2011
Sierra Leone 2004
Sierra Leone 2015
Slovenia 2002
South Africa 1996
South Africa 2001
South Africa 2007
South Sudan 2008
Spain 1981 - Spanish
Spain 1991 - Spanish
Spain 2001 - Spanish
Spain 2011
Spain Surveys 2005-2020
Sudan 2008
Suriname 2004
Suriname 2012
Switzerland 1970
Switzerland 1980
Switzerland 1990
Switzerland 2000
Switzerland 2011
Tanzania 1988
Tanzania 2002
Tanzania 2012
Thailand 1970
Thailand 1980
Thailand 1990
Thailand 2000
Togo 1960
Togo 1970
Togo 2010
Trinidad and Tobago 1990
Trinidad and Tobago 2000
Trinidad and Tobago 2011
Turkey 1985
Turkey 1990
Turkey 2000
Uganda 1991
Uganda 2002
Uganda 2014
United Kingdom 1961
United Kingdom 1971
United Kingdom 1991
United Kingdom 2001
United States 1960
United States 1970
United States 1980
United States 1990
United States 2000-2005
United States 2010
United States 2015
United States 2020
Uruguay 1963
Uruguay 1975
Uruguay 1996
Uruguay 2006
Venezuela 1981
Venezuela 1990
Venezuela 2001 - Spanish
Vietnam 1989
Vietnam 1999
Vietnam 2009
Vietnam 2019
Zambia 1990
Zambia 2000
Zambia 2010
Zimbabwe 2012Work Variables -- PERSONIndustry, general recodeINDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.
"Industry" refers to the activity or product of the establishment or sector in which a person worked.000NIU (not in universe)010Agriculture, fishing, and forestry020Mining and extraction030Manufacturing040Electricity, gas, water and waste management050Construction060Wholesale and retail trade070Hotels and restaurants080Transportation, storage, and communications090Financial services and insurance100Public administration and defense110Services, not specified111Business services and real estate112Education113Health and social work114Other services120Private household services130Other industry, n.e.c.998Response suppressed999UnknownWork Variables -- PERSONIndustry, unrecoded"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.IND is a 5-digit numeric variable.
Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
CodesArgentina 1970 - Spanish
Argentina 1980 - Spanish
Argentina 1991 - Spanish
Argentina 2001 - Spanish
Armenia 2001
Armenia 2011
Austria 1971-2001 - German
Austria 2011
Bangladesh 1991
Bangladesh 2001
Bangladesh 2011
Belarus 2009
Benin 1979
Benin 1992
Benin 2002
Benin 2013
Bolivia 1976
Bolivia 1992
Bolivia 2001
Bolivia 2012
Botswana 1981
Botswana 1991
Botswana 2001
Botswana 2011
Brazil 1960 - Portuguese
Brazil 1970 - Portuguese
Brazil 1980 - Portuguese
Brazil 1991 - Portuguese
Brazil 2000 - Portuguese
Brazil 2010
Burkina Faso 1996
Cambodia 1998
Cambodia 2004
Cambodia 2008
Cambodia 2013
Cambodia 2019
Cameroon 2005
Canada 1971
Canada 1981
Canada 1991-2001
Canada 2011
Chile 1960
Chile 1970
Chile 1982
Chile 1992
Chile 2002
Chile 2017
China 1982
China 1990
China 2000
Colombia 1964 - Spanish
Colombia 1973 - Spanish
Colombia 1993 - Spanish
Colombia 2005 - Spanish
Costa Rica 1963
Costa Rica 1973
Costa Rica 1984
Costa Rica 2000
Costa Rica 2011
Cote d’Ivoire 1988
Cote d’Ivoire 1998
Cuba 2002
Cuba 2012
Dominican Republic 1960
Dominican Republic 1970
Dominican Republic 1981
Dominican Republic 2002
Dominican Republic 2010
Ecuador 1962
Ecuador 1982
Ecuador 1990
Ecuador 2001
Ecuador 2010
Egypt 1986
Egypt 1996
Egypt 2006
El Salvador 1992
El Salvador 2007
Ethiopia 1984
Ethiopia 1994
Fiji 1966
Fiji 1976
Fiji 1986
Fiji 1996
Fiji 2007
Fiji 2014
Finland 2010
France 1962-1968 - French
France 1975-1982 - French
France 1990 - French
France 1999
France 2006
France 2011
Germany 1970
Germany 1971
Germany 1981
Germany 1987
Ghana 1984
Ghana 2000
Ghana 2010
Greece 1971
Greece 1981
Greece 1991-2001
Greece 2011
Guatemala 1964
Guatemala 1973
Guatemala 1981
Guatemala 1994
Guatemala 2002
Guinea 1983
Guinea 2014
Haiti 1971
Haiti 1982
Haiti 2003
Honduras 1961
Honduras 1974
Honduras 2001
Hungary 2001
Hungary 2011
India 1983
India 1987
India 1993
India 1999
India 2004
India 2009
Indonesia 1971
Indonesia 1976
Indonesia 1980
Indonesia 1985
Indonesia 1990
Indonesia 1995
Indonesia 2000
Indonesia 2005
Indonesia 2010
Iran 2006
Iran 2011
Iraq 1997
Ireland 1971
Ireland 1981
Ireland 1986
Ireland 1991
Ireland 1996
Ireland 2002
Ireland 2006
Ireland 2011
Ireland 2016
Israel 1972
Israel 1983
Israel 1995
Israel 2008
Italy 2001
Italy 2011
Italy Surveys 2011-2013
Italy Surveys 2014-2020
Jamaica 1982
Jamaica 1991
Jamaica 2001
Jordan 2004
Kyrgyz Republic 1999
Kyrgyz Republic 2009
Laos 1995
Laos 2005
Laos 2015
Lesotho 2006
Liberia 1974
Liberia 2008
Malawi 1987
Malawi 1998
Malawi 2008
Malaysia 1970
Malaysia 1980-1991
Malaysia 2000
Mali 1987
Mali 1998
Mali 2009
Mauritius 1990
Mauritius 2000
Mauritius 2011
Mexico 1960 - Spanish
Mexico 1970 - Spanish
Mexico 1990 - Spanish
Mexico 1995 - Spanish
Mexico 2000 - Spanish
Mexico 2010
Mexico 2015
Mexico 2020
Mexico surveys 2005-2019
Morocco 1982
Morocco 1994
Morocco 2004
Morocco 2014
Mozambique 1997
Mozambique 2007
Myanmar 2014
Nepal 2001
Nepal 2011
Netherlands 1960
Netherlands 1971
Netherlands 2001
Netherlands 2011
Nicaragua 1971
Nicaragua 1995
Nicaragua 2005
Nigeria 2006
Nigeria 2007
Nigeria 2008
Nigeria 2009
Nigeria 2010
Pakistan 1973
Palestine 1997
Palestine 2007
Palestine 2017
Panama 1960 - Spanish
Panama 1970-1980 - Spanish
Panama 1990-2000 - Spanish
Panama 2010
Papua New Guinea 1980
Papua New Guinea 2000
Paraguay 1962
Paraguay 1972
Paraguay 1982
Paraguay 1992
Paraguay 2002
Peru 1993
Peru 2007
Peru 2017
Philippines 1990
Philippines 1995
Philippines 2000
Philippines 2010
Poland 1978
Poland 2002
Portugal 1981 - Portuguese
Portugal 1991-2001 - Portuguese
Portugal 2011
Puerto Rico 1970-2005
Puerto Rico 2010
Puerto Rico 2015
Puerto Rico 2020
Romania 1977
Romania 1992
Romania 2002
Romania 2011
Rwanda 2002 - French
Rwanda 2012
Saint Lucia 1991
Senegal 1988
Senegal 2013
Sierra Leone 2004
South Africa 1996
South Africa 2001-2007
South Sudan 2008
Spain 1981 - Spanish
Spain 1991 - Spanish
Spain 2001 - Spanish
Spain 2011
Spain Surveys 2005-2020
Sudan 2008
Suriname 2004
Suriname 2012
Switzerland 1970-2000
Switzerland 2011
Tanzania 2002
Tanzania 2012
Thailand 1970
Thailand 1980
Thailand 1990
Thailand 2000
Togo 1970
Togo 2010
Trinidad and Tobago 1980
Trinidad and Tobago 1990
Trinidad and Tobago 2000
Turkey 1985
Turkey 1990
Turkey 2000
Uganda 2002
United Kingdom 1961
United Kingdom 1971
United Kingdom 1991
United Kingdom 2001
United States 1960
United States 1970
United States 1980
United States 1990
United States 2000-2005
United States 2010
United States 2015
United States 2020
Uruguay 1963
Uruguay 1985
Uruguay 1996
Uruguay 2006
Venezuela 1981
Venezuela 1990
Venezuela 2001 - Spanish
Vietnam 1989
Vietnam 1999
Vietnam 2009
Vietnam 2019
Zambia 1990
Zambia 2000
Zambia 2010Work Variables -- PERSONStatus in employment (class of worker) [general version]CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.0NIU (not in universe)1Self-employed2Wage/salary worker3Unpaid worker4Other9Unknown/missingWork Variables -- PERSONStatus in employment (class of worker) [detailed version]CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.000NIU (not in universe)100Self-employed101Self-employed, unincorporated102Self-employed, incorporated110Employer111Sharecropper, employer120Working on own account121Own account, agriculture122Domestic worker, self-employed123Subsistence worker, own consumption124Own account, other125Own account, without temporary/unpaid help126Own account, with temporary/unpaid help130Member of cooperative140Sharecropper141Sharecropper, self-employed142Sharecropper, employee150Kibbutz member199Self-employed, not specified200Wage/salary worker201Management202Non-management203White collar (non-manual)204Blue collar (manual)205White or blue collar206Day laborer207Employee, with a permanent job208Employee, occasional, temporary, contract209Employee without legal contract210Wage/salary worker, private employer211Apprentice212Religious worker213Wage/salary worker, non-profit, NGO214White collar, private215Blue collar, private216Paid family worker217Cooperative employee220Wage/salary worker, government221Federal, government employee222State government employee223Local government employee224White collar, public225Blue collar, public226Public companies227Civil servants, local collectives230Domestic worker (work for private household)240Seasonal migrant241Seasonal migrant, no broker242Seasonal migrant, uses broker250Other wage and salary251Canal zone/commission employee252Government employment/training program253Mixed state/private enterprise/parastatal254Government public work program255State enterprise employee256Coordinated and continuous collaboration job300Unpaid worker310Unpaid family worker320Apprentice, unpaid or unspecified330Trainee340Apprentice or trainee350Works for others without wage400Other999Unknown/missingWork Variables -- PERSONSector of employmentEMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked.00NIU (not in universe)10Public20Private21Private, not elsewhere classified22Individual/family enterprise, and self-employed23Foreign30Mixed: public-private or parastatal40Collective or cooperative50Foreign government or non-governmental organization60Other, unspecified61Canal zone62Faith-based organization63Informal sector99UnknownWork Variables -- PERSONMigration status, 10 yearsMIGRATE0 indicates the person's place of residence 10 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available.00NIU (not in universe)10Same major administrative unit11Same major, same minor administrative unit12Same minor administrative unit, same house13Same minor administrative unit, different house14Same major, different minor administrative unit20Different major administrative unit30Abroad99Unknown/missingMigration: Global Variables -- PERSONCountry of residence 10 years agoMIGCTRY0 indicates the person's country of residence 10 years ago.
Persons who did not live abroad ten years prior to the census are coded as non-migrants.00000NIU (not in universe)10000AFRICA11000Eastern Africa11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South Sudan11160Uganda11170Tanzania11180Zambia11190Zimbabwe11999Eastern Africa, n.s.12000Middle Africa12010Angola12020Cameroon12030Central African Republic12040Chad12050Congo12060Democratic Republic of Congo12070Equatorial Guinea12080Gabon12100Sao Tome and Principe12999Middle Africa, n.s.13000Northern Africa13010Algeria13020Egypt/United Arab Rep.13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13990Northern Africa, n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, n.s.15000Western Africa15010Benin15020Burkina Faso15150Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15160Sierra Leone15170Togo19999Africa, n.s.20000AMERICAS21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21200St. Croix21210St. John21220St. Lucia21230St. Thomas21240St. Vincent and the Grenadines21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21999Caribbean, n.s.22000Central America22010Belize/British Honduras22020Costa Rica22030El Salvador22040Guatemala22050Honduras22060Mexico22070Nicaragua22080Panama22081Panama Canal Zone22999Central America, n.s.23000South America23010Argentina23020Bolivia23030Brazil23040Chile23050Colombia23060Ecuador23070Falkland Islands23080French Guiana23090Guyana/British Guiana23100Paraguay23110Peru23120Suriname23130Uruguay23140Venezuela23990South America, n.s.23991Central and Latin America24000North America24010Bermuda24020Canada24030Greenland24040Saint Pierre and Miquelon24050United States24051U.S. Outlying Areas and Territories24999U.S.A, Canada, Mexico29999Americas, n.s.30000ASIA31000Eastern Asia31010China31011Hong Kong31012Macau31013Taiwan31020Japan31030Korea31031Korea, DPR (North)31032Korea, RO (South)31040Mongolia32000South-Central Asia32010Afghanistan32020Bangladesh32030Bhutan32040India32041India, Pakistan, Bangladesh, Sri Lanka32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33040Indonesia33050Laos33060Malaysia33061Malaysia and Singapore33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34060Iraq34070Israel34080Jordan34090Kuwait34100Lebanon34110Palestine34120Oman34130Qatar34140Saudi Arabia34150Syria34160Turkey34170United Arab Emirates34180Yemen34190Middle East, not specified34191Arabia34192Other Arab countries34199Gulf countries39999Asia, n.s.40000EUROPE41000Eastern Europe41010Belarus41020Bulgaria41021Albania/Bulgaria/Romania41030Czech Republic41031Czechoslovakia/Yugoslavia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41999Eastern Europe, n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42110Sweden42120United Kingdom42199Scandinavia43000Southern Europe43010Albania43020Andorra43030Bosnia43040Croatia43050Gibraltar43060Greece43070Italy43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Serbia and Montenegro43999Southern Europe, n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxemburg44022Benelux (Belgium/Netherlands/Luxemburg)44030France44040Germany44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland49999Europe, n.s.50000OCEANIA51000Australia and New Zealand51010Australia51020New Zealand51021New Zealand/New Guinea51030Norfolk Islands51999Australia and New Zealand, n.s.52000Melanesia52010Fiji52020New Caledonia52030Papua New Guinea52040Solomon Islands52050Vanuatu (New Hebrides)53000Micronesia53010Kiribati53020Marshall Islands53030Nauru53040Northern Mariana Isls.53050Palau53999Micronesia, n.e.c.54000Polynesia54010Cook Islands54020French Polynesia54030Niue54040Pitcairn Island54050Samoa54060Tokelau54070Tonga54080Tuvalu54090Wallis and Futuna Isls.59999Oceania, n.s.60000OTHER, unspecified or unclassifiable90000Non-migrants (International)99998Response suppressed99999UNKNOWNMigration: Global Variables -- PERSON1st subnational geographic level of residence 10 years prior to survey, world [consistent boundaries over time]GEOMIG1_10 indicates the major administrative unit in which the person resided ten years prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence ten year ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_10 match the geographic codes in GEOLEV1 (current place of residence).
For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_1, and GEOMIG1_5. More on migration and geography can be found here.368001In residential place of birth [Governorate: Iraq]368002In current governate [Governorate: Iraq]368011Dahuk [Governorate: Iraq]368012Nineveh [Governorate: Iraq]368013Sulaymaniyah [Governorate: Iraq]368014Al-Tameem [Governorate: Iraq]368015Erbil [Governorate: Iraq]368021Diala [Governorate: Iraq]368022Al-Anbar [Governorate: Iraq]368023Baghdad [Governorate: Iraq]368024Babylon [Governorate: Iraq]368025Kerbela [Governorate: Iraq]368026Wasit [Governorate: Iraq]368027Salah Al-Deen [Governorate: Iraq]368028Al-Najaf [Governorate: Iraq]368031Al-Qadisiya [Governorate: Iraq]368032Al-Muthanna [Governorate: Iraq]368033Thi-Qar [Governorate: Iraq]368034Maysan [Governorate: Iraq]368035Al-Basrah [Governorate: Iraq]368097Other countries [Governorate: Iraq]368098Unknown [Governorate: Iraq]368099NIU (not in universe) [Governorate: Iraq]418001Vientiane Capital [Province: Laos]418002Phongsaly [Province: Laos]418003Luangnamtha [Province: Laos]418004Oudomxay [Province: Laos]418005Bokeo [Province: Laos]418006Luangprabang [Province: Laos]418007Huaphanh [Province: Laos]418008Xayaboury [Province: Laos]418009Xienkhuang [Province: Laos]418010Vientiane Province [Province: Laos]418011Borikhamxay [Province: Laos]418012Khammuane [Province: Laos]418013Savanakhet [Province: Laos]418014Saravane [Province: Laos]418015Sekong [Province: Laos]418016Champasack [Province: Laos]418017Attapeu [Province: Laos]418018Xaysomboune [Province: Laos]418097Foreign Country [Province: Laos]418098Unknown [Province: Laos]418099NIU [Province: Laos]426001Butha Buthe [District: Lesotho]426002Leribe [District: Lesotho]426003Berea [District: Lesotho]426004Maseru [District: Lesotho]426005Mafeteng [District: Lesotho]426006Mohale's Hoek [District: Lesotho]426007Quthing [District: Lesotho]426008Qacha's Nek [District: Lesotho]426009Mokhotlong [District: Lesotho]426010Thaba-Tseka [District: Lesotho]426097Abroad [District: Lesotho]426099NIU [District: Lesotho]608001Abra [Province: Philippines]608002Agusan del norte [Province: Philippines]608003Agusan del sur [Province: Philippines]608004Aklan [Province: Philippines]608005Albay [Province: Philippines]608006Antique [Province: Philippines]608007Basilan, City Of Isabela [Province: Philippines]608008Bataan [Province: Philippines]608009Batanes [Province: Philippines]608010Batangas [Province: Philippines]608011Benguet [Province: Philippines]608012Bohol [Province: Philippines]608013Bukidnon [Province: Philippines]608014Bulacan [Province: Philippines]608015Cagayan, Batanes [Province: Philippines]608016Camarines norte [Province: Philippines]608017Camarines Sur [Province: Philippines]608018Camiguin [Province: Philippines]608019Capiz [Province: Philippines]608020Catanduanes [Province: Philippines]608021Cavite [Province: Philippines]608022Cebu [Province: Philippines]608023Davao (Davao del Norte) [Province: Philippines]608024Davao del Sur, Davao Occidental [Province: Philippines]608025Davao Oriental [Province: Philippines]608026Eastern Samar [Province: Philippines]608027Ifugao [Province: Philippines]608028Ilocos Norte [Province: Philippines]608029Ilocos Sur [Province: Philippines]608030Iloilo, Guimaras [Province: Philippines]608031Isabela [Province: Philippines]608032Kalinga-Apayao, Apayo, Kalinga [Province: Philippines]608033La Union [Province: Philippines]608034Laguna [Province: Philippines]608035Lanao del Norte [Province: Philippines]608036Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines]608037Leyte, Biliran [Province: Philippines]608039Manila [Province: Philippines]608040Marinduque [Province: Philippines]608041Masbate [Province: Philippines]608042Misamis Occidental [Province: Philippines]608043Misamis Oriental [Province: Philippines]608044Mountain Province [Province: Philippines]608045Negros Occidental [Province: Philippines]608046Negros Oriental [Province: Philippines]608047Cotabato (North Cotabato) [Province: Philippines]608048Northern Samar [Province: Philippines]608049Nueva Ecija [Province: Philippines]608050Nueva Vizcaya [Province: Philippines]608051Occidental Mindoro [Province: Philippines]608052Oriental Mindoro [Province: Philippines]608053Palawan [Province: Philippines]608054Pampanga [Province: Philippines]608055Pangasinan [Province: Philippines]608056Quezon [Province: Philippines]608057Quirino [Province: Philippines]608058Rizal [Province: Philippines]608059Romblon [Province: Philippines]608060Samar (Western Samar) [Province: Philippines]608061Siquijor [Province: Philippines]608062Sorsogon [Province: Philippines]608063South Cotabato, Sarangani [Province: Philippines]608064Southern Leyte [Province: Philippines]608065Sultan Kudarat [Province: Philippines]608066Sulu [Province: Philippines]608067Surigao Del Norte, Dinagat islands [Province: Philippines]608068Surigao del Sur [Province: Philippines]608069Tarlac [Province: Philippines]608070Tawi-Tawi [Province: Philippines]608071Zambales [Province: Philippines]608072Zamboanga Norte [Province: Philippines]608073Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines]608074Manila Metro, 2nd District [Province: Philippines]608075Manila Metro, 3rd District [Province: Philippines]608076Manila Metro, 4th District [Province: Philippines]608077Aurora [Province: Philippines]608097Foreign country [Province: Philippines]608098Unknown [Province: Philippines]608099NIU (not in universe) [Province: Philippines]686001Dakar [Region: Senegal]686002Ziguinchor [Region: Senegal]686003Diourbel [Region: Senegal]686004Saint Louis, Louga, Matam [Region: Senegal]686005Tambacounda, Kedougou [Region: Senegal]686006Kaolack, Fatick, Kaffrine [Region: Senegal]686007Thiès [Region: Senegal]686010Kolda, Sedhiou [Region: Senegal]686097Abroad [Region: Senegal]686099NIU (not in universe) [Region: Senegal]724011Galicia [Communities & autonomous city: Spain]724012Principado de Asturias [Communities & autonomous city: Spain]724013Cantabria [Communities & autonomous city: Spain]724021PaÃs Vasco [Communities & autonomous city: Spain]724022Comunidad Foral de Navarra [Communities & autonomous city: Spain]724023La Rioja [Communities & autonomous city: Spain]724024Aragón [Communities & autonomous city: Spain]724030Comunidad de Madrid [Communities & autonomous city: Spain]724041Castilla y León [Communities & autonomous city: Spain]724042Castilla-La Mancha [Communities & autonomous city: Spain]724043Extremadura [Communities & autonomous city: Spain]724051Cataluña [Communities & autonomous city: Spain]724052Comunidad Valenciana [Communities & autonomous city: Spain]724053Islas Baleares [Communities & autonomous city: Spain]724061AndalucÃa [Communities & autonomous city: Spain]724062Región de Murcia [Communities & autonomous city: Spain]724063Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain]724064Ciudad Autónoma de Melilla [Communities & autonomous city: Spain]724070Canarias [Communities & autonomous city: Spain]724090Other Spanish territories in 1970 [Communities & autonomous city: Spain]724097Foreign country [Communities & autonomous city: Spain]724098Unknown [Communities & autonomous city: Spain]724999NIU (not in universe) [Communities & autonomous city: Spain]780010Port of Spain [Region: Trinidad and Tobago]780020San Fernando [Region: Trinidad and Tobago]780080Diego 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]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]780094St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago]780098Unknown [Region: Trinidad and Tobago]780099NIU (not in universe) [Region: Trinidad and Tobago]834001Dodoma [Region: Tanzania]834002Arusha, Manyara [Region: Tanzania]834003Kilimanjaro [Region: Tanzania]834004Tanga [Region: Tanzania]834005Morogoro [Region: Tanzania]834006Pwani [Region: Tanzania]834007Dar es Salaam [Region: Tanzania]834008Lindi [Region: Tanzania]834009Mtwara [Region: Tanzania]834010Ruvuma [Region: Tanzania]834011Iringa, Njombe [Region: Tanzania]834012Mbeya [Region: Tanzania]834013Singida [Region: Tanzania]834014Tabora [Region: Tanzania]834015Katavi, Rukwa [Region: Tanzania]834016Kigoma [Region: Tanzania]834019Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania]834020Mara [Region: Tanzania]834051Zanzibar North [Region: Tanzania]834052Zanzibar South [Region: Tanzania]834053Zanzibar Town/West [Region: Tanzania]834054Pemba North [Region: Tanzania]834055Pemba South [Region: Tanzania]834097Abroad [Region: Tanzania]716000Bulawayo [Province: Zimbabwe]716001Manicaland [Province: Zimbabwe]716002Mashonaland Central [Province: Zimbabwe]716003Mashonaland East [Province: Zimbabwe]716004Mashonaland West [Province: Zimbabwe]716005Matabeleland North [Province: Zimbabwe]716006Matabeleland South [Province: Zimbabwe]716007Midlands [Province: Zimbabwe]716008Masvingo [Province: Zimbabwe]716009Harare [Province: Zimbabwe]716097Abroad [Province: Zimbabwe]716098Unknown [Province: Zimbabwe]716099NIU (Not in universe) [Province: Zimbabwe]Migration: Global Variables -- PERSONYears residing in current localityMIGYRS1 indicates how many years the person has resided in their current locality of residence.00Less than 1 year011 year (or 1 year or less)022 years03304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545455555656575758585959606061616262636364646565666667676868696970707171727273737474757576767777787879798080818182828383848485858686878788888989909091919292939394949595+ years96Less than 5 years97More than 5 years98Unknown99NIU (not in universe)Migration: Global Variables -- PERSONDistrict of residence 10 years ago, Lesothos; consistent boundaries, GISMIG1_10_LS indicates the person's district of residence in Lesotho 10 years ago. Migration district codes from MIG1_10_LS are compatible with codes from GEO1_LS.
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.426001Butha Buthe426002Leribe426003Berea426004Maseru426005Mafeteng426006Mohale's Hoek426007Quthing426008Qacha's Nek426009Mokhotlong426010Thaba-Tseka426097Abroad426099NIU (not in universe)Migration: F-N Variables -- PERSONDisability statusDISABLED indicates whether the person reported a disability of any kind.0NIU (not in universe)1Yes, disabled2No, not disabled9UnknownDisability Variables -- PERSONEmployment disabilityDISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons.1Disabled2Not disabled8Unknown9NIU (not in universe)Disability Variables -- PERSONBlind or vision-impairedDISBLND indicates whether the person was blind or had limited vision.0NIU (not in universe)1Yes2No9UnknownDisability Variables -- PERSONDeaf or hearing-impairedDISDEAF indicates whether the person was deaf or had limited hearing.0NIU (not in universe)1Yes2No9UnknownDisability Variables -- PERSONMute or speech impairedDISMUTE indicates if the person could not speak or had a significant speech impediment.0NIU (not in universe)1Yes2No9UnknownDisability Variables -- PERSONDisability affecting lower extremitiesDISLOWR indicates whether the person lacked use of one or both legs.0NIU (not in universe)1Yes2No9UnknownDisability Variables -- PERSONMental disabilityDISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity.0NIU (not in universe)1Yes2No9UnknownDisability Variables -- PERSONPsychological disabilityDISPSYC indicates whether the person was disabled due to mental illness.0NIU (not in universe)1Yes2No9UnknownDisability Variables -- PERSONOrigin of disabilityDISORIG indicates the cause or origin of a person's stated disability.00NIU (not in universe)10Congenital, since birth20Disease21Polio, infant paralysis22Parkinsons23Sclerosis24Stroke25Epilepsy26Hanson disease29Other disease30Accident31Work accident32Transport accident33Animal accident34Sports, athletic, or playing accident39Other accident40Other41Aging42Mental infirmity43War injury44Genocide45Anti-personnel mine or unexploded ordnance (UXO)46Domestic violence47Violence of delinquency48Other form of violence49Witchcraft50Other cause, n.e.c.70Multiple causes90No disability99UnknownDisability Variables -- PERSONPerson number (within household)Lesotho 2006: All recordsThis variable indicates person number within the household.00Household record01102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929Technical Person Variables -- PERSONRelationship to household head<span class="h2">Section B. List of household members </span></p>
<p>2. What is (the respondent's) relationship to head of household? </p>
<div class="i1">[] 0 Absentee head<br />[] 1 Head<br />[] 2 Spouse<br />[] 3 Child <br />[] 4 Son/daughter- in- law<br />[] 5 Grandchild/great grand child <br />[] 6 Parent/ parent-in-law <br />[] 7 Other relative <br />[] 8 Domestic employee <br />[] 9 Other person not related <br />[] 10 Herd boy</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>72. Column 2. Relationship to head</p>
<div class="i1">The relationship of each member of the household to the head of the household must be shown in this column by using the codes listed. Spouse means husband or wife (MOHATSA).</div>Lesotho 2006: All personsThis variable indicates the relationship of the person to the household head00Absentee head01Head02Spouse03Child04Son in-law or daughter-in-law05Grand child or great grand child06Parent or parent-in-law07Other relative08Domestic employees09Other person not related10Herd boyDemographic Variables -- PERSONSex<span class="h2">Section B. List of household members </span></p>
<p>3. Is (respondent) male or female?</p>
<div class="i1">[] 1 Male<br />[] 2 Female</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>73. Column 3. Sex</p>
<div class="i1">Use the codes given to indicate whether each member of the household is male or female<br />Code 1 if male Code 2 if female</div>Lesotho 2006: All personsThis variable indicates the sex of the person.1Male2FemaleDemographic Variables -- PERSONAge<span class="h2">Section B. List of household members </span></p>
<p>4. How old was (the respondent) on his/her last birthday? </p>
<div class="i1">Enter age in completed years (000 for children less than one year). <br />_ _ _ Age</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>74. Column 4. Age</p>
<div class="i1">Age in Completed Years: The question to be asked here is <span class="lang">" Lilemo tsa hao Ii kae tseo o Iiqetileng?" </span>(How old are you in completed years) e.g. if a person is aged 37 years and 11months, the exact age in completed years to be recorded is 37. Sometimes the person will not know hishe/her age, but will remember hishe/her birth year and you will have to work out hishe/her age in completed years. In the event that the person does not know hishe/her age, but remembers historical event associated with hishe/her birth, use the calendar of events. If the event is not included in the calendar, ask how old the person was at some recorded event. Note that the question on age is one of the most important ones on the questionnaire. If the above methods on ascertaining age prove to be fruitless, obtain an estimate of hishe/her age from relatives, the neighbors, and the village headman and then put a circle around it after recording it<br /><span class="pg">[pg.16]</span><br /> Always try to get answers that are accurate or reasonable in the sense that they are consistent with the person's status in the family. For example, a 65-year-old grandmother is not expected to have a 1-year-old child, or an 18-year-old son be mothered by a 19 year old woman. Please note that children under the age of 1 should be entered as 00 in the column of age.</div>Lesotho 2006: All personsThis variable indicates the age of the person.000 years011 year022 years0330440550660770880991010111112121313141415151616171718181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949505051515252535354545555565657575858595960606161626263636464656566666767686869697070717172727373747475757676777778787979808081818282838384848585868687878888898990909191929293939494+Demographic Variables -- PERSONMonth of birth<span class="h2">Section B. List of household members </span></p>
<p>5. Date of birth </p>
<div class="i1">Month_ _<br />Year _ _ _ _</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>75. Column 5: Date of birth</p>
<div class="i1">Enter month and year of birth in the space provided; these should be consistent with the age given in column 4.<br />If both month and year are given: If the month of birth is before the census night (she/he has had her/his birthday this year), then her/his age should be equal the year of interview (2006). If the month of birth is after the census night (she/he has not had her/his birthday this year), then her/his age plus her/his year of birth should equal the previous year 2005. If the month of birth is the same as the month of interview, then a sum of either 2005 or 2006 is acceptable. If the sum is incorrect, then either the year of birth or the age (or both) are incorrect and need to be corrected. If the sum is off by exactly one year, then it is possible that the month of birth is incorrect and the other information is accurate. In such cases, the age and the month of birth all need to be reviewed to see where the error lies.<br />Example: If respondent tells you that she/he was born in January 1955, she/he is 51 years old, and you are interviewing him/her in April 2006 you would add 1955 to 51. If the information the respondent gave you is consistent, the sum should be 2006, since April comes after January. If another respondent tells you that she/he was born in December 1968 and she/he is 37 years old, the sum should equal 2005 since she/he will not become a full year older until December (April is before December).<br /><span class="pg">[pg.17]</span><br />If only year of birth is recorded: Add the year of birth to the respondent's age and accept a sum of either 2005 or 2006. For example, if she/he says she was born in 1970, but she/he does not know the month, she should be either 35 (since 1970+35=2005) or 36 (since 1970+36=2006). If the sum does not equal either 2005 or 2006, probe to find out whether the year of birth or age is incorrect.<br />How to correct inconsistent answers: If the age plus the year of birth do not add to 2005 or 2006 as appropriate, probe to get consistent information. For example, the sum equals 2004 and it should be 2005, then you need to add 1 to either the age or the year of birth after checking with the respondent to see which one is wrong. If the sum adds to 2007 and it should be 2005, you need to subtract 2 from either the age or the year of birth or else subtract 1 from both the age and the year of birth. It is important to understand that either the age or year of birth or both may be incorrect.</div>Lesotho 2006: All personsThis variable indicates the person's month of birth.01January02February03March04April05May06June07July08August09September10October11November12DecemberDemographic Variables -- PERSONYear of birth<span class="h2">Section B. List of household members </span></p>
<p>5. Date of birth </p>
<div class="i1">Month_ _<br />Year _ _ _ _</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>75. Column 5: Date of birth</p>
<div class="i1">Enter month and year of birth in the space provided; these should be consistent with the age given in column 4.<br />If both month and year are given: If the month of birth is before the census night (she/he has had her/his birthday this year), then her/his age should be equal the year of interview (2006). If the month of birth is after the census night (she/he has not had her/his birthday this year), then her/his age plus her/his year of birth should equal the previous year 2005. If the month of birth is the same as the month of interview, then a sum of either 2005 or 2006 is acceptable. If the sum is incorrect, then either the year of birth or the age (or both) are incorrect and need to be corrected. If the sum is off by exactly one year, then it is possible that the month of birth is incorrect and the other information is accurate. In such cases, the age and the month of birth all need to be reviewed to see where the error lies.<br />Example: If respondent tells you that she/he was born in January 1955, she/he is 51 years old, and you are interviewing him/her in April 2006 you would add 1955 to 51. If the information the respondent gave you is consistent, the sum should be 2006, since April comes after January. If another respondent tells you that she/he was born in December 1968 and she/he is 37 years old, the sum should equal 2005 since she/he will not become a full year older until December (April is before December).<br /><span class="pg">[pg.17]</span><br />If only year of birth is recorded: Add the year of birth to the respondent's age and accept a sum of either 2005 or 2006. For example, if she/he says she was born in 1970, but she/he does not know the month, she should be either 35 (since 1970+35=2005) or 36 (since 1970+36=2006). If the sum does not equal either 2005 or 2006, probe to find out whether the year of birth or age is incorrect.<br />How to correct inconsistent answers: If the age plus the year of birth do not add to 2005 or 2006 as appropriate, probe to get consistent information. For example, the sum equals 2004 and it should be 2005, then you need to add 1 to either the age or the year of birth after checking with the respondent to see which one is wrong. If the sum adds to 2007 and it should be 2005, you need to subtract 2 from either the age or the year of birth or else subtract 1 from both the age and the year of birth. It is important to understand that either the age or year of birth or both may be incorrect.</div>Lesotho 2006: All personsThis variable indicates the person's year of birth.19121912 or earlier19131913191419141915191519161916191719171918191819191919192019201921192119221922192319231924192419251925192619261927192719281928192919291930193019311931193219321933193319341934193519351936193619371937193819381939193919401940194119411942194219431943194419441945194519461946194719471948194819491949195019501951195119521952195319531954195419551955195619561957195719581958195919591960196019611961196219621963196319641964196519651966196619671967196819681969196919701970197119711972197219731973197419741975197519761976197719771978197819791979198019801981198119821982198319831984198419851985198619861987198719881988198919891990199019911991199219921993199319941994199519951996199619971997199819981999199920002000200120012002200220032003200420042005200520062006Demographic Variables -- PERSONMarital status<span class="h2">Section B. List of household members </span></p>
<p>6. What is (the respondent's) marital status? </p>
<div class="i1">[Skip to question 9 if respondent selects 1 or 9.]<br /><br />[] 1 Never married <br />[] 2 Monogamously married <br />[] 3 Polygamously married <br />[] 4 Living together<br />[] 5 Separated <br />[] 6 Divorced <br />[] 7 Widowed <br />[] 9 Don't know</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>76. Column 6. Marital status</p>
<div class="i1">Please code according to list giving the present status; thus a person divorced and remarried is married.<br />A man who is married to one woman and a woman who has no co wives is monogamously married, irrespective of past status (Code 2).<br />A man who is married to more than one woman or a woman who has co wives (whose husband has more than one woman) is polygamously married (Code 3).</div>Lesotho 2006: All personsThis variable indicates the person's marital status.1Never married2Monogamously married3Polygamously married4Living together5Separated6Divorced7WidowedDemographic Variables -- PERSONAge at first marriage<span class="h2">Section B. List of household members </span></p>
<p>7. Age at first marriage</p>
<div class="i1">[Question asked of those every married (answered 2-7 in Question 6.)]<br />Enter age in completed years. Enter 88 for not applicable <br /><br />_ _ Age</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>77. Column 7: Age at first marriage (for those who ever married)</p>
<div class="i1">Enter age in completed years. Ask only those who have ever married that is those coded 2, 3,5,6,7.</div>Lesotho 2006: Ever married persons [discrepancies: none]This variable indicates the person's age at first marriage.00NIU (not in universe) 1717 years18181919202021212222232324242525262627272828292930303131323233333434353536363737383839394040414142424343444445454646474748484949+Demographic Variables -- PERSONFirst spouse alive<span class="h2">Section B. List of household members </span></p>
<p>8. Is (the respondent's) first or only spouse alive? </p>
<div class="i1">[Asked of those coded 2-6 in Question 6.]<br /><br />[] 1 Alive <br />[] 2 Not alive <br />[] 8 Not applicable <br />[] 9 Don't know</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>8. Column 8: If ever married, is first or only spouse still alive?</p>
<div class="i1">Please code the response according to the list of codes given. Enter 8 if person was never married. Avoid code 9 'Don't know' if possible. Remember for a person who has been married only once he/she answers for this only spouse; for a person who has been married more than once, the answer is for his/her first spouse.</div>Lesotho 2006: Ever married persons [discrepancies: none]This variable indicates whether the person's first spouse is alive.0NIU (not in universe) 1Alive2Not aliveFertility and Mortality Variables -- PERSONFather alive<span class="h2">Section B. List of household members </span></p>
<p>9. Is father of (the respondent) alive?</p>
<div class="i1">[] 1 Yes<br />[] 2 No <br />[] 9 Don't know</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>79. Column 9 and 10: Is natural mother/father still alive</p>
<div class="i1">Code l if natural mother/father is still alive. Code 2 if natural mother/father is dead. The question concerns the natural mother/father only, not social. Code 9 for DK</div>Lesotho 2006: All personsThis variable indicates whether the person's father is alive.1Yes2NoFertility and Mortality Variables -- PERSONMother alive<span class="h2">Section B. List of household members </span></p>
<p>10. Is mother of (the respondent) alive?</p>
<div class="i1">[] 1 Yes<br />[] 2 No<br />[] 9 Don't know</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>79. Column 9 and 10: Is natural mother/father still alive</p>
<div class="i1">Code l if natural mother/father is still alive. Code 2 if natural mother/father is dead. The question concerns the natural mother/father only, not social. Code 9 for DK</div>Lesotho 2006: All personsThis variable indicates whether the person's mother is alive.1Yes2NoFertility and Mortality Variables -- PERSONResidency status<span class="h2">Section B. List of household members </span></p>
<p>11. What is (the respondent's) residential status? </p>
<div class="i1">[] 1 Present <br />[] 2 Visitor <br />[] 3 Member elsewhere in Lesotho <br />[] 4 Member in Republic of South Africa <br />[] 5 Outside Lesotho and Republic of South Africa</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>80. Column 11: What is (name's) current residential status?</p>
<div class="i1">Members of the household and visitors are present if they spent the reference night in the household. This includes members who ought to have slept in the household and were away on night duty such as nurses, night watchmen, or the like or were at a wake.<br />Absent members are those who did not spend the night in the household, these are usual members who were elsewhere in Lesotho, in the RSA or outside Lesotho and RSA.<br />For a member of the household please refer to paragraph 66.<br />Please code according to list.</div>Lesotho 2006: All personsThis variable indicates the person's residency status.1Present2Visitor3Elsewhere in Lesotho4Member in South Africa5Outside Lesotho and South AfricaMigration: Global Variables -- PERSONCountry of residence<span class="h2">Section B. List of household members </span></p>
<p>12. If (the respondent) is absent outside Lesotho, where is she/he staying?</p>
<div class="i1">[Question 12 asked of persons who responded code 4 and 5 in Question 11.]<br /><br />[] 15 Republic of South Africa <br />[] 20 Swaziland <br />[] 25 Botswana <br />[] 30 Namibia <br />[] 35 Zimbabwe <br />[] 40 Zambia <br />[] 45 Mozambique <br />[] 50 Angola <br />[] 55 Tanzania <br />[] 60 Malawi <br />[] 65 Other Africa <br />[] 70 America<br />[] 75 Asia <br />[] 80 Europe <br />[] 85 Other <br />[] 88 Not applicable <br />[] 99 Don't know</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>81. Column 12. If absent outside Lesotho where is he/she now staying?</p>
<div class="i1">Please code according to the list; enter 88 for persons who are present or elsewhere in Lesotho. If place of residence is RSA, code 15. For Swaziland code 20 and for Europe code 80, and so on.</div>Lesotho 2006: All personsThis variable indicates the person's country of residence.10Lesotho 15South Africa85Other countryMigration: Global Variables -- PERSONYears residing abroad<span class="h2">Section B. List of household members </span></p>
<p>13. If (the respondent) is outside Lesotho, how long is (the respondent) in the country? </p>
<div class="i1">Note: Give duration since last visit home (it should not exceed 3 years). <br />Write 88- Not applicable for those in Lesotho. Enter 00 for less than one year. Enter 99 for "Don't know". <br /><br />_ _ Total number of years lived outside for those away from more than a year.</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>82. Column 13. Duration of stay outside Lesotho</p>
<div class="i1">Give here the duration of stay in completed years. Enter 00 for those who lived outside Lesotho for less than one year; 02 for those who lived outside Lesotho for 2 years and some months even if it is more than six months. Note here that duration to be entered starts from the time of last visit home.</div>Lesotho 2006: Residents outside Lesotho [discrepancies: none]This variable indicates the number of years of residence abroad for a person.00Less than 1 year011 year022 years033044055066 to 91010+99NIU (not in universe)Migration: Global Variables -- PERSONCitzenship<span class="h2">Section B. List of household members </span></p>
<p>14. What is (the respondent's) citizenship? </p>
<div class="i1">[] 10 Lesotho <br />[] 15 Republic of South Africa <br />[] 20 Swaziland<br />[] 25 Botswana <br />[] 30 Namibia <br />[] 35 Zimbabwe <br />[] 40 Zambia <br />[] 45 Mozambique <br />[] 50 Angola <br />[] 55 Tanzania <br />[] 60 Malawi <br />[] 65 Other Africa, specify ____ <br />[] 70 America<br />[] 75 Asia <br />[] 80 Europe <br />[] 90 Other, specify ____ <br />[] 99 Don't know</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>83. Column 14. Citizenship</p>
<div class="i1">Please code 10 for Lesotho citizen. For citizens of other countries not listed in the questionnaire. i.e. code 65 or 85, state the name of country of citizenship in full. If dual-citizenship, give one citizenship. For countries listed enter codes according to list.</div>Lesotho 2006: All personsThis variable indicates the person's citzenship.10Lesotho15South Africa65Other Africa75Asia85Other countryNativity and Birthplace Variables -- PERSONDistrict or country of birth <span class="h2">Section B. List of household members </span></p>
<p>15. Where was (the respondent) born?</p>
<div class="i1">[] 11 Same Village <br />[] 12 Different village/ town same district <br /> [] 1 Butha- Buthe <br />[] 2 Leribe <br />[] 3 Berea <br />[] 4 Maseru <br />[] 5 Mafeteng <br />[] 6 Mohale's Hoek <br />[] 7 Quthing <br />[] 8 Qacha's Nek <br />[] 9 Mokhotlong <br />[] 10 Thaha-Tseka <br />[] 13 Republic of South Africa <br />[] 14 Other countries, specify ____ <br />[] 99 Don't know</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>84. Column 15. Place of birth-where was (name) born?</p>
<div class="i1">Code 11 if the person was born in the village/town of enumeration.<br /> Code 12 if born in a different village/town, but in the same district.<br /> Code 01-10 if the person was born in another district.<br /> Code 13 if person was born in RSA<br /> Code 14 if person was born in another country other than RSA<br /> Code 99 for Don't Know.</div>Lesotho 2006: All personsThis variable indicates the person's district or country of birth.01Botha-Bothe02Leribe03Berea04Maseru05Mafeteng06Mohale's Hoek07Quthing08Qacha's Nek09Mokhotlong10Thaba-Tseka11Same village12Different village, this district13South Africa14OthersNativity and Birthplace Variables -- PERSONDistrict or country of residence in 1996<span class="h2">Section B. List of household members </span></p>
<p>16. Where was (the respondent) living in April 1996?</p>
<div class="i1">[] 11 Same village <br />[] 12 Different village/ town same district <br />[] 1 Butha- Buthe <br />[] 2 Leribe <br />[] 3 Berea <br />[] 4 Maseru <br />[] 5 Mafeteng <br />[] 6 Mohale's Hoek <br />[] 7 Quthing <br />[] 8 Qacha's nek <br />[] 9 Mokhotlong <br />[] 10 Thaha-Tseka <br />[] 13 Republic of South Africa <br />[] 14 Other countries, specify ____<br />[] 88 For persons aged less than 10 <br />[] 99 Don't know</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>85. Column 16: Where was (name) living in April 1996?</p>
<div class="i1">Give here the place of residence in the last census. Code 11 if the person lived in the same village/town of enumeration.<br />Code 12 if the person lived in a different village/town, but in the same district.<br />Code 01 to 10 if the person lived in another district, 13 if the person lived in RSA and 14 if the person lived in other countries.<br />Code 99 for DK.</div>Lesotho 2006: Persons age 10+ [discrepancies: none]This variable indicates the person's district or country of residence in 1996.00NIU (not in universe) 01Botha-Bothe02Leribe03Berea04Maseru05Mafeteng06Mohale's Hoek07Quthing08Qacha's Nek09Mokhotlong10Thaba-Tseka11Same village12Different village, this district13South Africa14Other countriesMigration: Global Variables -- PERSONYears of residence in the village<span class="h2">Section B. List of household members </span></p>
<p>17. For how long has (the respondent) lived in this village/town? </p>
<div class="i1">Enter number of years. Enter 00 for less than 1 year. <br /><br />_ _ Number of years</div><span class="h2">Part B of the questionnaire</span>
<br />For all persons</p>
<p>86. Column 17: For how long has (name) lived in this village?</p>
<div class="i1">Give here the duration of residence of each eligible household member in this village/town. Changing of houses within a vi11age/town should be regarded as no move at all. If a person left the household (village) for a period of six months or more and later returned to this household/village, give duration for the latest period of stay only. For present members of the household write duration of residence as obtained. For visitors inquire if they lived with the household for six months or less, then enter 00; if you do not consider them as members of the household.</div>Lesotho 2006: All personsThis variable indicates the number of years of residence in the village for a person.00Less than 1 year011 year022 years03304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545455555656575758585959606061616262636364646565666667676868696970707171727273737474757576767777787879798080818182828383848485858686878788888989+Migration: Global Variables -- PERSONDisability<span class="h2">Section C. For all persons - Disability</span></p>
<p>18. Is (the respondent) disabled? </p>
<div class="i1">Note: State the main disability <br /><br />[] 1 Amputation of fingers <br />[] 2 Amputation of arms<br />[] 3 Amputation of hands <br />[] 4 Amputation of toes <br />[] 5 Amputation of foot/leg<br />[] 6 Lame/ paralyzed limb <br />[] 7 Blind (total/ partial)<br />[] 8 Deaf (total/ partial)<br />[] 9 Speech problem<br />[] 10 Mental illness<br />[] 11 Mental retardation <br />[] 12 Not disabled [Skip to Question 21.]<br />[] 13 Other, specify ____<br />[] 99 Don't know [Skip to Question 21.]</div><span class="h2">Part C of the questionnaire for all persons (Disability)</span></p>
<p>87. Column 18: Is (name) disabled.</p>
<div class="i1">Ask for the main disability and code according to the list.</div>Lesotho 2006: All personsThis variable indicates the type of disability that a person may have00Not disabled01Amputation of fingers02Amputation of arms03Amputation of hands04Amputation of toes05Amputation of foot or leg06Lame or paralysed limb07Blind, total or partial08Deaf09Speech problem10Mental illness11Mental retardation12OtherDisability Variables -- PERSONDuration of disability<span class="h2">Section C. For all persons - Disability</span></p>
<p>19. For how long has (the respondent) been disabled? </p>
<div class="i1">Enter number of years. Enter 000 for less than 1 year. Enter 777 for "since birth".<br /><br />_ _ _ Years</div><span class="h2">Part C of the questionnaire for all persons (Disability)</span></p>
<p>88. Column 19: For how long has (name) been disabled?</p>
<div class="i1">Code according to the list provided. Code 888 for not applicable and code 999 for DK.</div>Lesotho 2006: Persons with a disability [discrepancies: none]This variable indicates the duration of time a person has been disabled.00Less than 1 year011 year022 years033044055066077088099101011111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545 to 495050+99NIU (not in universe)Disability Variables -- PERSONCause of disability<span class="h2">Section C. For all persons - Disability</span></p>
<p>20. What was the cause of disability? </p>
<div class="i1">[] 1 Born disabled <br />[] 2 Illness <br />[] 3 Traffic accidents <br />[] 4 Domestic accident <br />[] 5 Mine accident <br />[] 6 Other work/farming accident <br />[] 7 Fight/ assault <br />[] 8 Playing/sport <br />[] 9 Animal accident <br />[] 10 Witchcraft <br />[] 11 Unknown <br />[] 12 Domestic violence <br />[] 13 Other, specify ____</div><span class="h2">Part C of the questionnaire for all persons (Disability)</span></p>
<p>89. Column 20: What was the cause of disability?</p>
<div class="i1">Code 1 for born disabled. Code 88 for no disability/not applicable.</div>Lesotho 2006: Persons with a disability [discrepancies: none]This variable indicates the person's cause of disability.00NIU (not in universe)01Born disabled02Illness03Traffic accidents04Domestic accident05Mine accident06Other work or farming accident07Fight or assualt08Playing or sport09Animal accident10Witchcraft11Unknown12Domestic violence13OtherDisability Variables -- PERSONSchool attendance<span class="h2">Section D. Education </span>
<br />[For all persons aged 2 years and over.]</p>
<p>21. Has (the respondent) ever attended school?</p>
<div class="i1">[] 1 Never attended (probe for more information)<br />[] 2 Still attending <br />[] 3 Left school <br />[] NA not applicable</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>90. Column 21: Full-time school attendance has (name) ever attended School?</p>
<div class="i1">Please code according to list. For all children under the age of 2 years enter code 8.<br />For those aged 2 years and over<br /> Code 1 for persons who have never at any time attended received full-time education,<br /> Code 2 for persons still attending and receiving full-time education at the time of the census (still attending). Code 3 for persons who have ever received a full-time education in the past and are no longer receiving it. (Left school)</div><span class="pg">[pg.21]</span>Lesotho 2006: Persons age 2+ [discrepancies: none]This variable indicates if the person is attending school.0NIU (not in universe)1No, never attended2Yes, still attending3Left schoolEducation Variables -- PERSONEducation attainment<span class="h2">Section D. Education </span>
<br />[For all persons aged 2 years and over.]</p>
<p>22. What is (the respondent's) highest level of education completed? </p>
<div class="i1">[] 00 Pre School <br />[] 1 Standard 1 <br />[] 2 Standard 2<br />[] 3 Standard 3<br />[] 4 Standard 4<br />[] 5 Standard 5 <br />[] 6 Standard 6<br />[] 7 Standard 7<br />[] 11 Form 1<br />[] 12 Form 2<br />[] 13 Form 3<br />[] 14 Form 4 <br />[] 15 Form 5 <br />[] 20 Diploma/ Certificate after primary <br />[] 21 Vocational training after primary <br />[] 22 Diploma/ Certificate after secondary <br />[] 23 Vocational after secondary <br />[] 24 Diploma/ Certificate after High School <br />[] 25 Vocational after High School <br />[] 26 Graduate<br />[] 27 Post Graduate <br />[] 28 Non formal education <br />[] 29 None <br />[] 30 Other, Specify ____<br />[] 88 Not applicable <br />[] 99 Don't know</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>91. Column 22: What is (name's) highest level of education completed?</p>
<div class="i1">Give highest qualification held, even if obtained through part-time education, using codes from the list provided. Make sure that code 88 is for persons who are less than two years of age.<br /> Code 01 for persons who have passed standard 1; 02 for persons who have passed standard 2 etc.; 07 for those who have passed standard 7 or the old standard 6 (refer to conversion table in paragraph 93). For persons who have passed Form A, enter code 11; Form B, failed JC, code 12, Form C, failed Form D, code 13 and Form E or COSC/Matric code 15.<br /> Code 20 for persons who have had any training in diploma/certificate after primary.<br /> Code 22 Post JC for persons with post JC qualifications other than Form D or E, these include persons who have had vocational training after JC, nursing, LPTC, PhD, etc.<br /> Code 24 for persons with post COSC qualifications, these include persons who have had vocational training after COSC, S.T.C, S.T.T.C, Certificate in Agriculture, Diploma in Agriculture, Diploma in Science, and Certificate in Statistics.<br />Note: that these qualifications are not equivalent to a University Degree. Codes for University Degrees are 26 and 27.</div>Lesotho 2006: Persons age 2+ [discrepancies: none]This variable indicates the person's education attainment.00Pre-school01Standard 102Standard 203Standard 304Standard 405Standard 506Standard 607Standard 711Form 112Form 213Form 314Form 415Form 520Diploma or certificate after primary21Vocational training after primary22Diploma or certificate after secondary23Vocational training after secondary24Diploma or certificate after high school25Vocational training after high school26Graduate27Post graduate28Non-formal education30Other29None99NIU (not in universe)Education Variables -- PERSONLiteracy (read and write)<span class="h2">Section D. Education </span>
<br />[For all persons aged 2 years and over.]</p>
<p>23. Does (the respondent) know how to read and write? </p>
<div class="i1">[] 1 Yes, with ease<br />[] 2 Yes, with difficulty<br />[] 3 Not at all <br />[] 4 Blind <br />[] 5 No card with required language <br />[] 6 Pre school <br />[] 8 Not applicable <br />[] 9 Don't know</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>93. Column 23: Does (name) know how to read and write?</p>
<div class="i1">Provide each eligible member (i.e. those coded 01-07, 28, and 29 in column 22) with a literacy card and ask them to read out one of the given sentences; alternate the sentences as some members might memorize what some of the members read out even if they cannot read themselves.<br />Code 1 for those who read with ease, code 2 for those who read with difficulty, code 3 for those who could not read at all, code 4 for the blind, code 5 if someone does not know either Sesotho or English, code 8 for those not eligible in this column (not applicable) and code 9 for Don't Know (DK).<br />Part E of the questionnaire<br />For persons aged 10 years and over</div>Lesotho 2006: Persons age 5+ [discrepancies: none]This variable indicates if the person is literate.1Yes, with ease2Yes, with difficulty3Illiterate, not at all4Blind5No card with required language6Pre-school9NIU (not in universe)Education Variables -- PERSONEconomic activity in the last week<span class="h2">Section E. Economic status </span>
<br />[For persons aged 10 years and above.]</p>
<p>24. What was (the respondent's) employment status during the previous week? </p>
<div class="i1">[] 10 Employer <br />[] 20 Own account worker/ farmer <br />[] 31 Regular wage/ salary earner<br />[] 32 Causal worker <br />[] 40 Unpaid family worker <br />[] 50 Job seeking<br />[] 55 Job seeking for first time<br />[] 60 Homemaker/ housewife <br />[] 70 Retired <br />[] 80 Student <br />[] 90 Disabled <br />[] 95 Other, specify ____<br />[] 99 Don't know</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>94. Column 24: Employment Status during last week</p>
<div class="i1">Here ask for the work that occupies most time of each eligible member of the household and code according to list, enter 88 for persons too young to work. Own account worker refers to a self -employed person.<br /> Code 32 casual workers for a laborer who gets a piece-job casually.<br /> Code 40 unpaid family workers for all persons 10 years and over who worked without pay for three days or more in an establishment or farm operated by a member of their family.<br />This category of unpaid family worker includes the following:-</div><div class="i2">(i) Wives who during the reference period worked at their husband's store or farm or other economic enterprise. If these wives are paid they should not be classified as unpaid family workers or housewives.<br /><span class="pg">[pg.23]</span><br />(ii) Children aged 10 years and over, who during the reference period helped in the father's or family member's farm, shop or assisted them on other economic activities such as fruit/vegetable selling.</div><div class="i1">Remember to exclude as unpaid family workers, all persons aged 10 years and over who helped family members in their farm, shop or business, but were full-time students in educational institutions. The code is 80 for students.<br /> Housewives are persons who are only engaged in household activities.<br /> Homemakers are persons who are considered active; they do household activities as well as other income generating activities such as selling vegetables from the backyard gardens. Enumerators have to probe in order to find out these extra activities.<br /> Job seekers coded 50 and 55 are persons who have been actively looking for a job and are still looking e.g. Making application or going from place to place asking. Code 50 are people who once worked but are currently out of a job and actively looking for a job. While, code 55 are people who never worked, but are currently looking for a job.<br /> If two answers are possible in this column give status that claims most of his/her time.</div>Lesotho 2006: Persons age 10+ [discrepancies: type I none; type II trace]This variable indicates the person's economic activity in the last week.00NIU (not in universe) 10Employer20Own account worker or farmer31Regular wages or salary earner32Casual worker40Unpaid family worker50Job seeking55Job seeking for the first time60Homemaker65Housewife70Retired80Student90Disabled95Other99UnknownWork Variables -- PERSONEmployment status of job seekers (12 months ago)<span class="h2">Section E. Economic status </span>
<br />[For persons aged 10 years and above.]</p>
<p>25. If job seeking (code 50 in Question 24), what was (the respondent's) employment status 12 months ago (April 2005)? </p>
<div class="i1">[] 10 Employer <br />[] 20 Own account worker/ farmer <br />[] 31 Regular wage/ salary earner<br />[] 32 Causal worker <br />[] 40 Unpaid family worker <br />[] 50 Job seeking<br />[] 55 Job seeking for first time<br />[] 60 Homemaker/ housewife <br />[] 70 Retired <br />[] 80 Student <br />[] 90 Disabled <br />[] 95 Other, specify ____<br />[] 99 Don't know</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>95. Column 25: If job seeking, what was (name's) employment status in April 2005.</p>
<div class="i1">This question is applicable to persons who were coded 50 in column 24. For other persons code 88. The codes in column 24 and 25 are the same.</div>Lesotho 2006: Persons age 10+ who were job seeking in the last week [discrepancies: type I 0.2%, type II none]This variable indicates the person's employment status 12 months ago if the person is seeking work.00NIU (not in universe)20Own account worker, farmer or employer31Regular wages or salary earner32Casual worker40Unpaid family worker or homemaker50Job seeking55Job seeking for the first time65Housewife80Student95Other99UnknownWork Variables -- PERSONClass of worker<span class="h2">Section E. Economic status </span>
<br />[For persons aged 10 years and above.]</p>
<p>26. If employed last week, who was (the respondent's) employer? </p>
<div class="i1">[Question 26 to be answered by those who responded codes 10-40 in Question 24.]<br /><br />[] 1 Government <br />[] 2 Parastatal<br />[] 3 Private, including self employed<br />[] 4 Republic of South Africa <br />[] 5 Other, specify ____<br />[] 8 Not applicable</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>96. Column 26: If employed, (last week), who was your employer?</p>
<div class="i1">This question applies to those coded 10, 20, 31, 32, 40 and 60 in column 24.<br /><span class="pg">[pg.24]</span><br />Please code according to the list. Enter 88 for persons not in employment last week or are under the age of 10 years. Persons not in employment last week are in codes 50-90 exclude code 60.<br /> Code 2 (Parastatal) for persons employed at:</div><div class="i2">1. Lesotho National Bank and its subsidiaries<br />2. Lesotho National Development Corporation<br />3. Telecom Lesotho<br />4. Lesotho Electricity Corporation<br />5. Lesotho Housing and Land Development<br />6. State Trading Corporation<br />7. Lesotho Freight Services<br />8. Lesotho Flour Mills<br />9. Maluti Mountain Brewery<br />11. Water and Sewage Authority<br />12. Lesotho Highlands Development Authority<br />13. Lesotho Pharmaceutical Corporation</div><div class="i1">Code 3 (Private) includes all persons who are self-employed.<br />Note: For persons who are employed in the Embassies and international organizations such as UNDP, WHO, UNICEF, FAO, ILO, IPPF, in Lesotho, or other countries, code 5 and specify</div>Lesotho 2006: Pesons age 10+ in the labor force [discrepancie: none]This variable indicates the class of work of the person.1Government2Parastatal3Private4South Africa5Other8Job seeking9NIU (not in universe)Work Variables -- PERSONOccupation (2-digits)<span class="h2">Section E. Economic status </span>
<br />[For persons aged 10 years and above.]</p>
<p>27. What was (the respondent's) last type of work done? </p>
<div class="i1">[Question 27 asked of all those coded 10-50 and 60 in Question 24.] <br />Remember to ask only those who were job seeking for less than 5 years. <br /><br />Type of work ____</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>97. Column 27: Type of work done (last week)</p>
<div class="i1">State the occupation. If the person is job seeking for not longer than 5 years, give last type of work done. You have to avoid making entries of a generalized nature such as "civil servant'' or "businessman". Write the exact work that the person does, e.g. Medical doctor, stenographer, herbalist, teacher, etc. Peasants will be classified as farmers. For people with two occupations enter the one that claims most of his/her time.<br /> A list of the most common occupation is annexed to this manual to help you take the proper classification.<br /> Code 88 for not applicable</div>Lesotho 2006: Pesons age 10+ in the labor force [discrepancie: none]This variable indicates the person's occupation.00NIU (not in universe)01Armed forces11Legislators and senior officials12Corporate managers13General managers21Physical mathematical and engineering scientists22Life science and health professionals23Teaching professionals24Other professionals31Physical and engineer science associate professionals32Life science and health associate professionals33Teaching associate professionals34Other associate professionals41Office clerks42Customer services clerks51Personal and protective services workers52Models, salespersons and demonstrators61Market-oriented skilled ag and fish workers62Subsistence agricultural and fishery workers71Extraction and building trades workers72Metal, machinery, and related trades73Precision, handicraft, printing, and related occupations74Other craft and related trades workers81Stationary-plant and related operators82Machine operators and assemblers83Drivers and mobile plant operators91Sales and services elementary occupations92Agriculture, fishery, and related laborers93Laborers in mining, construction, manufacture, and transport98Job seekingWork: Occupation Variables -- PERSONIndustry (2-digits)<span class="h2">Section E. Economic status </span>
<br />[For persons aged 10 years and above.]</p>
<p>28. What was (the respondent's) main product/ service/ activity of place of work? </p>
<div class="i1">[] 1 Agriculture <br />[] 2 Fishing <br />[] 3 Mining/ quarrying<br />[] 4 Manufacturing/processing <br />[] 5 Electricity <br />[] 6 Construction <br />[] 7 Wholesale and retail, repair of motor vehicles and personal and household goods <br />[] 8 Hotels and restaurants <br />[] 9 Transport, storage, and communication <br />[] 10 Financial intermediation <br />[] 11 Real estate, renting, and business activities <br />[] 12 Public administration, defense, comp. social service <br />[] 13 Education <br />[] 14 Health and social work <br />[] 15 Other community, social, and personal services <br />[] 16 Private household <br />[] 17 Extra territorial organizations bodies <br />[] 88 Not applicable</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>98. Column 28: Main product/service/activity of place where worked.
<br /><span class="pg">[pg.25]</span><div class="i1">This refers to the main activity of the establishment or enterprise in which the individual works. If job seeking, state the last establishment or enterprise where employed. Give an exact description of the activity or service of firm e.g. a driver for beer brewery (in column 27 write driver, column 28 beer brewery); an accountant in a gold mine (column 27 accountants, column 28 gold mine); an owner of a cafe (column 27 shop owner. Column 28 retail shop); a domestic helper (column 27 domestic help, column 28 household); a waiter at a restaurant (column 27 waiter, column 28 restaurant); a driver for a transport company (column 27 driver, column 28 transport). Differentiation between Coal-Gold-Diamond mine or wholesale and retail trade must be clear. The main activity of a farmer is Agriculture that of a teacher is teaching or education. For persons unemployed but job seeking, enter the activity which they were last employed (not longer than five years ago). For persons who have not worked before, students, pupils and other persons without occupation enter code 88.</div>Lesotho 2006: Pesons age 10+ in the labor force [discrepancie: none]This variable indicates the person's industry of work.00NIU (not in universe)01Agriculture02Fishing03Mining or quarrying04Manufacturing or processing05Electricity06Construction07Wholesale and retail, repair of motor vehicles, personal and household goods08Hotels and restaurants09Transport, storage and communication10Financial intermediation11Real estate, renting and business activities12Public administration, defense, comp. social service13Education14Health and social work15Other community, social and personal services16Private households17Extra territorial organizations bodies88Job seekingWork: Industry Variables -- PERSONDistrict or country of work location<span class="h2">Section E. Economic status </span>
<br />[For persons aged 10 years and above.]</p>
<p>29. Location of employment </p>
<div class="i1">[] NA Not applicable <br />[] 11 Same village <br />[] 12 Different village/ town same district <br />Other districts/country</div><div class="i2">[] 1 Butha- Buthe <br />[] 2 Leribe <br />[] 3 Berea <br />[] 4 Maseru <br />[] 5 Mafeteng <br />[] 6 Mohale's Hoek <br />[] 7 Quthing <br />[] 8 Qacha's Nek <br />[] 9 Mokhotlong <br />[] 10 Thaha-Tseka <br />[] 13 Republic of South Africa <br />[] 14 Other countries</div><div class="i1">[] 88 Not applicable <br />[] 99 Don't know</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>99. Column 29: Location of place of work</p>
<div class="i1">This column refers to the place of work of an individual. Code 11 when the individual works in the same village or town of enumeration, e.g. Code 11 if a person lives in Maseru West and works in Maseru West. Code 12 if an individual works in a different village or town but in the same district, e.g. code 12 for commuters from Maseru to Roma. Code according to the list for persons employed at different district from where they are enumerated. For example code 01 for Butha-Buthe, code 13 for RSA.</div>Lesotho 2006: Pesons age 10+ in the labor force [discrepancie: none]This variable indicates the location of work for a person.00NIU (not in universe)01Butha-Buthe02Leribe03Berea04Maseru05Mafeteng06Mohale's Hoek07Quthing08Qacha's Nek09Mokhotlong10Thaba-Tseka11Same village 12Different village in the same district 13South Africa14Other countries88Job seekingWork Variables -- PERSONDistrict or country of work location in urban areas<span class="h2">Section E. Economic status </span>
<br />[For persons aged 10 years and above.]</p>
<p>30. Location of employment in urban areas </p>
<div class="i1">[] 1 Butha- Buthe <br />[] 2 Hlotse <br />[] 3 Maputsoe <br />[] 4 Teyateyaneng<br />[] 5 Maseru<br />[] 6 Semonkong<br />[] 7 Mafeteng <br />[] 8 Mohale's Hoek <br />[] 9 Moyeni<br />[] 10 Qacha's Nek <br />[] 11 Mokhotlong <br />[] 12 Thaha-Tseka <br />[] 13 Republic of South Africa<br />[] 14 Other countries, specify ____ <br />[] 99 Don't know</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>100. Column 30: Location of employment in urban areas</p>
<div class="i1">Code according to the list provided. Code 88 for those who work in the rural areas.</div>Lesotho 2006: Pesons age 10+ in the labor force [discrepancie: none]This variable indicates whether a person's location of work is in urban area.00NIU (not in universe)01Butha-Buthe02Hlotse03Maputsoe04Teyateyaneng05Maseru06Semonkong07Mafeteng08Mohale's Hoek09Moyeni10Qacha's Nek11Mokhotlong12Thaha-Tseka 13South Africa14Other countries88Job seekingOther Person Variables -- PERSONWorked in South Africa since 1996<span class="h2">Section E. Economic status </span>
<br />[For persons aged 10 years and above.]</p>
<p>31. Has (the respondent) ever worked in Republic of South Africa in the past 10 years (since 1996)? </p>
<div class="i1">[] 1 Never worked <br />[] 2 Worked in past <br />[] 3 Presently working in Republic of South Africa <br />[] 8 Not applicable <br />[] 9 Don't know</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>101. Column 31: Ever worked in RSA in the past 10 years (since 1996).</p>
<div class="i1">Code 1 if never worked in RSA, Code 2 if worked in the past 10 years, Code 3 if presently working in the RSA and code 88 if not applicable.</div>Lesotho 2006: Persons age 10+ [discrepancies: none]This variable indicates if a person worked in South Africa since 1996.0NIU (not in universe)1Never worked2Worked in the past3Presently working in South Africa8Not applicable9Unknown Other Person Variables -- PERSONNumber of years worked in South Africa <span class="h2">Section E. Economic status </span>
<br />[For persons aged 10 years and above.]</p>
<p>32. If (the respondent) ever worked in Republic of South Africa in the past 10 years, how long has she/he worked?</p>
<div class="i1">Enter total number of years actually worked. Enter 88 for those coded 1, 8, or 9 in Question 31. Enter 00 if less than 1 year. <br /><br />_ _ Years</div><span class="h2">Part D of the Questionnaire </span>
<br />For persons aged 2 years and over</p>
<p>102. Column 32: If ever worked in RSA in the past 10 years, how long has she/he worked in RSA'?</p>
<div class="i1">Enter the number of completed years. Code 00 for less than one year, and enter 88 for those persons who never worked in the past 10 years RSA.</div>Lesotho 2006: Persons age 10+ who worked in South Africa in the past or present [discrepancies: type I trace; type II none]This variable indicates the number of years a person worked in South Africa.00Less than 1 year 011 year022 years033044055066077088099101011111212131314141515 to 192020+98Unknown 99NIU (not in universe)Other Person Variables -- PERSONNumber of pregnancies<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>33. How many pregnancies have you had? </p>
<div class="i1">Enter 00 for no pregnancies. If 00, skip to Question 45. <br /><br />_ _ Pregnancies</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>103. Column 33: Number of pregnancies</p>
<div class="i1">Enter number of pregnancies in the space provided. Enter 00 for no pregnancies. We need the number of pregnancies that ever occurred, regardless of whether the pregnancy went up to nine months. If the answer is 00, skip to column 45.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: none]This variable indicates the number of pregnancies a women has had.000011022033044055077088099101011111212+99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren born alive<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>34. Have you ever given a live birth? </p>
<div class="i1">Enter 00 if no. If Yes, how many children were born alive to (the respondent) altogether? <br /><br />_ _ Live births</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>104. Column 34: Have you ever given a live birth. If yes how many.</p>
<div class="i1">Enter the total number of live births the woman has ever home that is the total number of children ever born. The total given here should be consistent with the total number from column 39 to column 44. If the answer is no, enter 00 and skip to column 45.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: none]This variable indicates the number of children born alive to a woman.00001102203304405506607708809910101111+99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren born last year<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>35. Have you ever given a live birth in the last 12 months? </p>
<div class="i1">If yes, enter how many. Enter 00 for none. <br /><br />_ _ Live births in last 12 months</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>105. Column 35: Have you given birth in the last 12 months?</p>
<div class="i1">Enter number of live births; enter 00 for no live births in the last 12 months i.e. from April 2005.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: none]This variable indicates the number of births last year born to a woman.0No live birth last year1Yes8Unknown 9NIU (not in universe)Fertility and Mortality Variables -- PERSONMonth of last birth<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>36. When did you give your last live birth?</p>
<div class="i1">Enter month and year <br /><br />Month _ _<br />Year _ _ _ _</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>106. Column 36: When did you give your last live birth?</p>
<div class="i1">Enter month and year of the most recent live birth (include those who were born alive and later died).</div>Lesotho 2006: Women age 12 to 49 who ever gave birth [discrepancies: none]This variable indicates the month of birth of the last birth a woman had.01January 02Feburary 03March 04April 05May 06June 07July 08August 09September 10October 11November 12December 99NIU (not in universe)Fertility and Mortality Variables -- PERSONYear of last birth<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>36. When did you give your last live birth?</p>
<div class="i1">Enter month and year <br /><br />Month _ _<br />Year _ _ _ _</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>106. Column 36: When did you give your last live birth?</p>
<div class="i1">Enter month and year of the most recent live birth (include those who were born alive and later died).</div>Lesotho 2006: Women age 12 to 49 who ever gave birth [discrepancies: none]This variable indicates the year of birth of the last birth a woman had.19761976 or before1977197719781978197919791980198019811981198219821983198319841984198519851986198619871987198819881989198919901990199119911992199219931993199419941995199519961996199719971998199819991999200020002001200120022002200320032004200420052005200620069999NIU (not in universe)Fertility and Mortality Variables -- PERSONSex of the last birth<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>37. What was the sex of the last live birth? </p>
<div class="i1">Include those who were born alive and died afterwards. <br /><br />[] Male <br />[] Female</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>107. Column 37: What was the sex of the last live birth?</p>
<div class="i1">State the sex of the most recent birth, include those who were born alive and later died</div>Lesotho 2006: Women age 12 to 49 who ever gave birth [discrepancies: none]This variable indicates the sex of the last birth a woman had.1Male2Female9NIU (not in universe)Fertility and Mortality Variables -- PERSONLast birth still alive<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>38. Is the last child still alive? </p>
<div class="i1">[] Yes <br />[] No</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>108. Column 38: Is the last child still alive.</p>
<div class="i1">Code 1 if the last-born is still alive and code 2 if the last-born is dead.</div>Lesotho 2006: Women age 12 to 49 who ever gave birth [discrepancies: none]This variable indicates if the last birth a woman had is still alive.1Last-born still alive2Last-born dead9NIU (not in universe)Fertility and Mortality Variables -- PERSONMale children living in this household<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>39. How many sons live with you? </p>
<div class="i1">_ _ Sons</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>109. Column 39: How many sons live with you?</p>
<div class="i1">Enter number of sons who live in the household, enter 00 for no sons</div>Lesotho 2006: Women age 12 to 49 [discrepancies: none]This variable indicates the number of male child living with a women in this household.000011022033044055066+99NIU (not in universe)Fertility and Mortality Variables -- PERSONFemale children living in this household<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>40. How many daughters live with you? </p>
<div class="i1">_ _ Daughters</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>110. Column 40: How many daughters live with you?</p>
<div class="i1">Enter number of daughters who live m the household, enter 00 for no daughters</div>Lesotho 2006: Women age 12 to 49 [discrepancies: none]This variable indicates the number of females children living with a woman in this household.00112233445566+9NIU (not in universe)Fertility and Mortality Variables -- PERSONMale children living elsewhere<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>41. How many sons are alive but do not live with you? </p>
<div class="i1">_ _ Sons</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>111. Column 41: How many sons are alive, but do not live with you?</p>
<div class="i1">Please enter the number of sons who do not live in the household. Enter 00 for none.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: none]This variable indicates the number of male children of a woman living elsewhere.0None11223344+9NIU (not in universe)Fertility and Mortality Variables -- PERSONFemale children living elsewhere<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>42. How many daughters are alive but do not live with you? </p>
<div class="i1">_ _ Daughters</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>112. Column 42: How many daughters are alive, but do not live with you?</p>
<div class="i1">Please enter the number of daughters who do not live in the household. Enter 00 for none.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: none]This variable indicates the number of females children of a woman living elsewhere.0None11223344+9NIU (not in universe)Fertility and Mortality Variables -- PERSONMale children dead<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>43. How many sons have died?</p>
<div class="i1">_ _ Sons</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>113. Column 43: How many sons have died?</p>
<div class="i1">Enter number of dead sons; enter 00 for no dead sons.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: none]This variable indicates the number of male children who have died.0None11223344+9NIU (not in universe)Fertility and Mortality Variables -- PERSONFemale children dead<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>44. How many daughters have died?</p>
<div class="i1">_ _ Daughters</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>114. Column 44: How many daughters have died?</p>
<div class="i1">Enter number of dead daughters; enter 00 for no dead daughters.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: none]This variable indicates the number of female children who have died.0None11223344+9NIU (not in universe)Fertility and Mortality Variables -- PERSONMale children born <span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>34. Have you ever given a live birth? </p>
<div class="i1">Enter 00 if no. If Yes, how many children were born alive to (the respondent) altogether? <br /><br />_ _ Live births</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>104. Column 34: Have you ever given a live birth. If yes how many.</p>
<div class="i1">Enter the total number of live births the woman has ever home that is the total number of children ever born. The total given here should be consistent with the total number from column 39 to column 44. If the answer is no, enter 00 and skip to column 45.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number of total male children born to a woman.001122334455667788+9NIU (not in universe)Fertility and Mortality Variables -- PERSONFemale children born <span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>34. Have you ever given a live birth? </p>
<div class="i1">Enter 00 if no. If Yes, how many children were born alive to (the respondent) altogether? <br /><br />_ _ Live births</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>104. Column 34: Have you ever given a live birth. If yes how many.</p>
<div class="i1">Enter the total number of live births the woman has ever home that is the total number of children ever born. The total given here should be consistent with the total number from column 39 to column 44. If the answer is no, enter 00 and skip to column 45.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number of total female children born to a woman.001122334455667788+9NIU (not in universe)Fertility and Mortality Variables -- PERSONMale children surviving<span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>34. Have you ever given a live birth? </p>
<div class="i1">Enter 00 if no. If Yes, how many children were born alive to (the respondent) altogether? <br /><br />_ _ Live births</div><p>39. How many sons live with you? </p>
<div class="i1">_ _ Sons</div><p>41. How many sons are alive but do not live with you? </p>
<div class="i1">_ _ Sons</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>109. Column 39: How many sons live with you?</p>
<div class="i1">Enter number of sons who live in the household, enter 00 for no sons</div><p>111. Column 41: How many sons are alive, but do not live with you?</p>
<div class="i1">Please enter the number of sons who do not live in the household. Enter 00 for none.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number of male children born to a woman who are surviving.0011223344556677+9NIU (not in universe)Fertility and Mortality Variables -- PERSONFemale children surviving <span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>34. Have you ever given a live birth? </p>
<div class="i1">Enter 00 if no. If Yes, how many children were born alive to (the respondent) altogether? <br /><br />_ _ Live births</div><p>40. How many daughters live with you? </p>
<div class="i1">_ _ Daughters</div><p>42. How many daughters are alive but do not live with you? </p>
<div class="i1">_ _ Daughters</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>110. Column 40: How many daughters live with you?</p>
<div class="i1">Enter number of daughters who live m the household, enter 00 for no daughters</div><p>112. Column 42: How many daughters are alive, but do not live with you?</p>
<div class="i1">Please enter the number of daughters who do not live in the household. Enter 00 for none.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number of female children born to a woman who are surviving.0011223344556677+9NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren surviving <span class="h2">Section F. Women aged 12 to 49 years (Fertility)</span></p>
<p>34. Have you ever given a live birth? </p>
<div class="i1">Enter 00 if no. If Yes, how many children were born alive to (the respondent) altogether? <br /><br />_ _ Live births</div><span class="h2">Part F of the questionnaire</span>
<br />For women aged 12 to 49 years (fertility)</p>
<p>104. Column 34: Have you ever given a live birth. If yes how many.</p>
<div class="i1">Enter the total number of live births the woman has ever home that is the total number of children ever born. The total given here should be consistent with the total number from column 39 to column 44. If the answer is no, enter 00 and skip to column 45.</div><p>109. Column 39: How many sons live with you?</p>
<div class="i1">Enter number of sons who live in the household, enter 00 for no sons</div><p>110. Column 40: How many daughters live with you?</p>
<div class="i1">Enter number of daughters who live m the household, enter 00 for no daughters</div><p>111. Column 41: How many sons are alive, but do not live with you?</p>
<div class="i1">Please enter the number of sons who do not live in the household. Enter 00 for none.</div><p>112. Column 42: How many daughters are alive, but do not live with you?</p>
<div class="i1">Please enter the number of daughters who do not live in the household. Enter 00 for none.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number of total children born to a woman who are surviving.0000110220330440550660770880991010+99NIU (not in universe)Fertility and Mortality Variables -- PERSONNumber of sisters<span class="h2">Section G. Women 12 to 49 years (Maternal mortality) </span></p>
<p>45. How many sisters (of the same mother) do you have aged 15 years and over?</p>
<div class="i1">Enter 00 for no sisters 15 years and over and move to the next female or Section H. <br />_ _ Number of sisters (alive and dead)</div><span class="h2">Part G of the questionnaire</span>
<br />For women aged 12 to 49 years (maternal mortality)</p>
<p>115. Column 45: How many sisters (of the same mother) do you have aged 15 years and over?</p>
<div class="i1">Enter the number of sisters in the space provided; enter 00 for no sisters and sisters less than the age of 15.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number sisters a woman has.00001102203304405506607708809999NIU (not in universe)Fertility and Mortality Variables -- PERSONSisters who died after reaching 15 years<span class="h2">Section G. Women 12 to 49 years (Maternal mortality) </span></p>
<p>46. How many sisters (of the same mother) died after reaching the age of 15?</p>
<div class="i1">_ _ Number of sisters</div><span class="h2">Part G of the questionnaire</span>
<br />For women aged 12 to 49 years (maternal mortality)</p>
<p>116. Column 46: How many sisters (of the same mother) died after reaching the age of 15?</p>
<div class="i1">Enter the number of dead sisters who died after reaching the age of 15 in the space provided; enter 00 for no sisters who died or sisters who died aged less than the age of 15.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number sisters a woman has who died after reaching 15 years.0011223344556677+9NIU (not in universe)Fertility and Mortality Variables -- PERSONSisters who died due to pregnancy<span class="h2">Section G. Women 12 to 49 years (Maternal mortality) </span></p>
<p>47. How many of these dead sisters died due to pregnancy?</p>
<div class="i1">_ _ Number of sisters</div><span class="h2">Part G of the questionnaire</span>
<br />For women aged 12 to 49 years (maternal mortality)</p>
<p>117. Column 47: How many of these dead sisters died during pregnancy?</p>
<div class="i1">Enter number of dead sisters who died during pregnancy after reaching the age of 15; enter 00 for no sisters or sisters who died aged less than the age of 15.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number sisters a woman has who died due to pregnancy.0None11229NIU (not in universe)Fertility and Mortality Variables -- PERSONSisters who died during childbirth<span class="h2">Section G. Women 12 to 49 years (Maternal mortality) </span></p>
<p>48. How many of these dead sisters died during childbirth?</p>
<div class="i1">_ _ Number of sisters</div><span class="h2">Part G of the questionnaire</span>
<br />For women aged 12 to 49 years (maternal mortality)</p>
<p>118. Column 48: How many of the dead sisters died during childbirth?</p>
<div class="i1">Enter number of dead sisters who died during childbirth after reaching the age of 15; enter 00 for no sisters or sisters who died aged less than the age of 15.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number sisters a woman has who died during childbirth.0None11+9NIU (not in universe)Fertility and Mortality Variables -- PERSONSisters who died in 6 weeks after end of pregnancy<span class="h2">Section G. Women 12 to 49 years (Maternal mortality) </span></p>
<p>49. How many of these dead sisters died during six weeks after end of pregnancy?</p>
<div class="i1">_ _ Number of sisters</div><span class="h2">Part G of the questionnaire</span>
<br />For women aged 12 to 49 years (maternal mortality)</p>
<p>119. Column 49: How many of these dead sisters died during six weeks after the end of pregnancy?</p>
<div class="i1">Enter number of dead sisters who died during six weeks after the end of pregnancy after reaching age 15; enter 00 for no sisters or sisters who died aged less than the age of 15.</div>Lesotho 2006: Women age 12 to 49 [discrepancies: type I trace; type I none]This variable indicates the number sisters a woman has who died in 6 weeks after end of pregnancy.0None11+9NIU (not in universe)Fertility and Mortality Variables -- PERSON