2008 Population and Housing CensusDDI_MWI_2008_PHC_v01_M_v7.6_A_IPUMSIPUMS
Integrated Public Use Microdata Series (IPUMS) International
IPUMSApril 1, 2025IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455Organization for Economic Co-operation and Development, Development Co-operation DirectorateJADE#:60525;MEHLB(2010)12IPUMSVersion 7.6 October 2025 : NEW FEATURES.
--NO "new features" listed in Revision History
NEW SAMPLES.
--Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries.
--91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS.
SUPPLEMENTAL DATA.
--No "supplemental data" listed in revision history
NEW VARIABLES.
--New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml).
--Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf).
EDITED SAMPLES.
--For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL.
EDITED VARIABLES.
--For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren.
--In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)".
--MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007.
--In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999).
--In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample.
--The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born.
--The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status.
--In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007.
--Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all".
--Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence.
2008 Population and Housing Census - IPUMS SubsetPHC mw2008a (IPUMS Harmonized Subset)MWI_2008_PHC_v01_M_v7.6_A_IPUMSNational Statistical OfficeIPUMS(c) Copyright 2008, National Statistical Office and Minnesota Population CenterNational Statistical OfficePopulation and Housing Census [hh/popcen]IPUMS InternationalDOI:10.18128/D020.V7.6Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database.Demographic Variables -- PERSONOther Household Variables -- HOUSEHOLDGeography: Global Variables -- HOUSEHOLDAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDDwelling Characteristics Variables -- HOUSEHOLDFertility and Mortality Variables -- PERSONNativity and Birthplace Variables -- PERSONWork Variables -- PERSONTechnical Household Variables -- HOUSEHOLDGeography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLDDisability Variables -- PERSONEducation Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONUtilities Variables -- HOUSEHOLDEthnicity and Language Variables -- PERSONGeography: F-N Variables -- HOUSEHOLDMigration: Global Variables -- PERSONGroup Quarters Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDHousehold Economic Variables -- HOUSEHOLDMigration: F-N Variables -- PERSONTechnical Person Variables -- PERSONTechnical Household Variables -- HOUSEHOLDDemographic Variables -- PERSONEthnicity and Language Variables -- PERSONConstructed Family Interrelationship Variables -- PERSONDwelling Characteristics Variables -- HOUSEHOLDAppliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDGroup Quarters Variables -- HOUSEHOLDGeography: Global Variables -- HOUSEHOLDUtilities Variables -- HOUSEHOLDWork Variables -- PERSONEducation Variables -- PERSONTechnical Person Variables -- PERSONHousehold Economic Variables -- HOUSEHOLDConstructed Household Variables -- HOUSEHOLDOther Household Variables -- HOUSEHOLDGeography: F-N Variables -- HOUSEHOLDNativity and Birthplace Variables -- PERSONMigration: Global Variables -- PERSONDisability Variables -- PERSONFertility and Mortality Variables -- PERSONOther Person Variables -- PERSONEducation Variables -- PERSONWork Variables -- PERSONDemographic Variables -- PERSONFertility and Mortality Variables -- PERSONPerson Imputation Flags Variables -- PERSONWork: Occupation Variables -- PERSONWork: Industry Variables -- PERSONUnspecified day during June 1 to 21, 2008June 1st - June 21st, 2008MalawiTraditional authority (TA)Persons, households, and dwellings
UNITS IDENTIFIED:
- Dwellings: yes
- Vacant Units: No
- Households: yes
- Individuals: yes
- Group quarters: yes
UNIT DESCRIPTIONS:
- Dwellings: A dwelling unit may be defined as any structure; permanent, semi permanent or traditional where people live and sleep. It may be a hut, house, stores with a sleeping room or rooms at the back or sides, a shelter of reeds/straw such as those used by fishermen, or any other structure where people sleep.
- Households: A household consists of one or more persons, related or unrelated, who live together and make common provision for food. They regularly take all their food from the same pot, and/or share the same grain store (nkhokwe) or pool their incomes for the purpose of purchasing food. Persons in a household may live in one or more dwelling units.
- Group quarters: Collective household refers to a large group of people who live together and sharing common facilities such as kitchen, toilet, lounge, and dormitories. In such situation the residents may not have complete independent quarters that qualify as housing units as their living quarters during the census period.All persons present in Malawi at the time of census. These include foreigners with acknowledged status as refugees, and citizens of Malawi who at the time of census are absent temporarily (less than 6 months). However, diplomatic personnel of the foreign diplomatic and consular representative offices, foreign military personnel and their family members, and the members and representatives of the international organizations and communities located in Malawi are not enumerated. Population and Housing Census [hh/popcen]Additional notes on a sample that is part of this study: Malawi 2008
MICRODATA SOURCE: National Statistical Office
SAMPLE SIZE (person records): 1343078.
SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the IPUMS
Face-to-face [f2f]Census questionnaire containing questions on demographic and socio-economic characteristics of the population, dwelling unit characteristics, emigration, and maternal and general deathsboth, CENSUS DAY: Unspecified day during June 1 to 21, 2008Self-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.National Statistical OfficeSteven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6
Researchers should also acknowledge the statistical agency that originally produced the data: Malawi, National Statistical Office. 2008 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.V7.6 Extract for mw2008a, 2025MWI2008_PHC-H-H.datHousehold records298,607asciiMinnesota Population CenterVersion 7.5, IPUMS sampleMWI2008_PHC-P-H.datPerson records1343078asciiMinnesota 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 Salvador231Ethiopia242Fiji246Finland250France276Germany288Ghana300Greece320Guatemala324Guinea332Haiti340Honduras348Hungary352Iceland356India360Indonesia364Iran368Iraq372Ireland376Israel380Italy384Côte d'Ivoire388Jamaica400Jordan404Kenya417Kyrgyz 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 2001340201301Honduras 2013348197001Hungary 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 LFS384198801Côte d'Ivoire 1988384199801Côte d'Ivoire 1998388198201Jamaica 1982388199101Jamaica 1991388200101Jamaica 2001400200401Jordan 2004404196901Kenya 1969404197901Kenya 1979404198901Kenya 1989404199901Kenya 1999404200901Kenya 2009404201901Kenya 2019417199901Kyrgyz Republic 1999417200901Kyrgyz Republic 2009418199501Laos 1995418200501Laos 2005418201501Laos 2015426199601Lesotho 1996426200601Lesotho 2006430197401Liberia 1974430200801Liberia 2008454198701Malawi 1987454199801Malawi 1998454200801Malawi 2008454201801Malawi 2018458197001Malaysia 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 2000496201001Mongolia 2010496202001Mongolia 2020504198201Morocco 1982504199401Morocco 1994504200401Morocco 2004504201401Morocco 2014508199701Mozambique 1997508200701Mozambique 2007508201701Mozambique 2017104201401Myanmar 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 2017608199721Philippines 1997 Q1 LFS608199722Philippines 1997 Q2 LFS608199723Philippines 1997 Q3 LFS608199724Philippines 1997 Q4 LFS608199821Philippines 1998 Q1 LFS608199822Philippines 1998 Q2 LFS608199823Philippines 1998 Q3 LFS608199824Philippines 1998 Q4 LFS608199921Philippines 1999 Q1 LFS608199922Philippines 1999 Q2 LFS608199923Philippines 1999 Q3 LFS608199924Philippines 1999 Q4 LFS608200021Philippines 2000 Q1 LFS608200022Philippines 2000 Q2 LFS608200023Philippines 2000 Q3 LFS608200024Philippines 2000 Q4 LFS608200121Philippines 2001 Q1 LFS608200122Philippines 2001 Q2 LFS608200123Philippines 2001 Q3 LFS608200124Philippines 2001 Q4 LFS608200221Philippines 2002 Q1 LFS608200222Philippines 2002 Q2 LFS608200223Philippines 2002 Q3 LFS608200224Philippines 2002 Q4 LFS608200321Philippines 2003 Q1 LFS608200322Philippines 2003 Q2 LFS608200323Philippines 2003 Q3 LFS608200324Philippines 2003 Q4 LFS608200421Philippines 2004 Q1 LFS608200422Philippines 2004 Q2 LFS608200423Philippines 2004 Q3 LFS608200424Philippines 2004 Q4 LFS608200521Philippines 2005 Q1 LFS608200522Philippines 2005 Q2 LFS608200523Philippines 2005 Q3 LFS608200524Philippines 2005 Q4 LFS608200621Philippines 2006 Q1 LFS608200622Philippines 2006 Q2 LFS608200623Philippines 2006 Q3 LFS608200624Philippines 2006 Q4 LFS608200721Philippines 2007 Q1 LFS608200722Philippines 2007 Q2 LFS608200723Philippines 2007 Q3 LFS608200724Philippines 2007 Q4 LFS608200821Philippines 2008 Q1 LFS608200822Philippines 2008 Q2 LFS608200823Philippines 2008 Q3 LFS608200824Philippines 2008 Q4 LFS608200921Philippines 2009 Q1 LFS608200922Philippines 2009 Q2 LFS608200923Philippines 2009 Q3 LFS608200924Philippines 2009 Q4 LFS608201021Philippines 2010 Q1 LFS608201022Philippines 2010 Q2 LFS608201023Philippines 2010 Q3 LFS608201024Philippines 2010 Q4 LFS608201121Philippines 2011 Q1 LFS608201122Philippines 2011 Q2 LFS608201123Philippines 2011 Q3 LFS608201124Philippines 2011 Q4 LFS608201221Philippines 2012 Q1 LFS608201222Philippines 2012 Q2 LFS608201223Philippines 2012 Q3 LFS608201224Philippines 2012 Q4 LFS608201321Philippines 2013 Q1 LFS608201322Philippines 2013 Q2 LFS608201323Philippines 2013 Q3 LFS608201324Philippines 2013 Q4 LFS608201421Philippines 2014 Q1 LFS608201422Philippines 2014 Q2 LFS608201423Philippines 2014 Q3 LFS608201424Philippines 2014 Q4 LFS608201521Philippines 2015 Q1 LFS608201522Philippines 2015 Q2 LFS608201523Philippines 2015 Q3 LFS608201524Philippines 2015 Q4 LFS608201621Philippines 2016 Q1 LFS608201622Philippines 2016 Q2 LFS608201623Philippines 2016 Q3 LFS608201624Philippines 2016 Q4 LFS608201721Philippines 2017 Q1 LFS608201722Philippines 2017 Q2 LFS608201723Philippines 2017 Q3 LFS608201724Philippines 2017 Q4 LFS608201821Philippines 2018 Q1 LFS608201822Philippines 2018 Q2 LFS608201823Philippines 2018 Q3 LFS608201824Philippines 2018 Q4 LFS608201921Philippines 2019 Q1 LFS608201922Philippines 2019 Q2 LFS608201923Philippines 2019 Q3 LFS608199001Philippines 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 -- HOUSEHOLDStrata identifierThis variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.STRATA is a 12-digit numeric variable.Technical 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 -- HOUSEHOLDGroup quarters typeGQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types.
Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings.
Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings.
A more general classification of households between private and group quarters is available in GQ.100Institutional110Prisons, reformatories, or correctional institutions120Hospital, nursing home, hospice, or instutions for persons with disabilities121Institutions for persons with disabilities122Sanatorium or mental institutions130Homes for the elderly or orphanage131Retirement home132Orphanage, children's home140Shelter for homeless, youth, or others150Military or police institution160Boarding school or student housing170Religious institution, monastery, seminary, or convent199Other institutional n.e.c.200Non-institutional210Camps (refugees, workers, or others)220Hotel, pension, lodging, or boarding house230Floating population299Other non-institutional n.e.c.300Other group quarters3991-person unit created by splitting large household998Unknown999NIU (not in universe)Group 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 numeric variable listing the population density in persons per square kilometer.
Codes0 = Unknown.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 numeric variable listing the population density in persons per square kilometer.
Codes0 = Unknown.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 numeric variable listing the area in square kilometers.
Codes0 = Unknown.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 numeric variable listing the area in square kilometers.
Codes0 = Unknown.Geography: Global Variables -- HOUSEHOLDMalawi, District 1987 - 2018 [Level 1; consistent boundaries, GIS]GEO1_MW identifies the household's district within Malawi in all sample years. Districts are the first level administrative units of the country. GEO1_MW is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_MW can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Malawi 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.454101Chitipa454102Karonga454103Nkhata Bay, Likoma454104Rumphi454105Mzimba, Mzuzu City454201Kasungu454202Nkhotakota454203Ntchisi454204Dowa454205Salima454206Lilongwe, Lilongwe City454207Mchinji454208Dedza454209Ntcheu454301Mangochi454302Machinga454303Zomba, Zomba City454304Chiradzulu454305Blantyre, Blantyre City454306Mwanza, Neno454307Thyolo454308Mulanje454309Phalombe454310Chikwawa454311Nsanje454312BalakaGeography: F-N Variables -- HOUSEHOLDMalawi, District 2008 [Level 1, GIS]GEO1_MW2008 identifies the household's district within Malawi in 2008. Districts are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_MW2008 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Malawi 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.101Chitipa102Karonga103Nkhata Bay, Likoma104Rumphi105Mzimba107Mzuzu City201Kasungu202Nkhotakota203Ntchisi204Dowa205Salima206Lilongwe207Mchinji208Dedza209Ntcheu210Lilongwe City301Mangochi302Machinga303Zomba304Chiradzulu305Blantyre306Mwanza307Thyolo308Mulanje309Phalombe310Chikwawa311Nsanje312Balaka313Neno314Zomba City315Blantyre CityGeography: F-N Variables -- HOUSEHOLDMalawi, Traditional Authority 1987 - 2018 [Level 2; consistent boundaries, GIS]GEO2_MW identifies the household's Traditional Authority (TA) within Malawi in all sample years. Traditional Authorities (TAs) are the second level administrative units of the country, after districts. GEO2_MW is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_MW can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Malawi 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.454101001Chitipa Boma, STA Bulambya Songwe, TA Mwabulambya454101002STA Lwangwa, TA Mwenemisuku454101003STA Nthengatenga, STA Wavikaza, TA Nthalire, Nyika National Park - Chitipa454101004TA Kameme454101005TA Mwenewenya454102001Karonga Town454102002TA Kilupula454102003TA Kyungu454102004TA Mwakaboko454102005TA Mwirang'ombe454102006TA Wasambo454102007Nyika National Park - Karonga454103001Likoma Boma, TA Mkumpha, TA Mankhambira454103002Nkhatabay Boma, TA Mkumbira454103003STA Kondowe, STA Nyaluwanga, TA Boghoyo, TA M'bwana454103004TA Fukamalaza, TA Malanda, TA Malenga Mzoma454103005TA Fukamapiri454103006TA Kabunduli, TA Zilakoma454103007TA Timbiri454104001STA Kachulu, TA Mwalweni, Nyika National Park - Rumphi454104002Rumphi Boma454104003STA Chapinduka, STA Njikula, TA Mwamlowe, TA Mwankhunikira454104004STA Chisovya, STA Zolokere, TA Chikulamayembe, TA Katumbi, TA Mwahenga, Vwaza Marsh Reserve454105001Mzimba Boma454105002TA Levi Jere, TA Mabulabo454105003TA Chindi454105004TA Jaravikuba Munthali, TA Mtwalo454105005TA Kampingo Sibande454105006TA Khosolo Gwaza Jere454105007TA M'Mbelwa454105008TA Mpherembe, Vwaza Marsh Reserve454105009TA Mzikubola454105010TA Mzukuzuku454105011Mzuzu City454201001Kasungu Boma454201002STA Nthunduwala, TA Kawamba, Kasungu National Park454201003STA Chaima, TA Chidzuma, TA Santhe454201004STA Chambwe, TA Chilowamatambe454201005STA Chisikwa, TA Chisemphere, TA Kaluluma454201006STA Chisinga, STA Mphomwa, TA Chulu454201007STA Kapichira, STA Mdunga, TA Kapelula454201008STA M'nyanja454201009STA Mangwazu, STA Mawawa, TA Kaphaizi, TA Lukwa, TA Mwase454201010TA Kaomba454201011TA Njombwa454201012TA Simlemba454201013TA Wimbe454202001Nkhotakota Boma454202002TA Mwansambo, Nkhotakota Game Reserve454202003STA Kalimanjira, TA Malenga Chanzi454202004TA Kafuzila454202005TA Kanyenda454202006TA Mphonde454202007TA Mwadzama454203001Ntchisi Boma, TA Kalumo, TA Malenga454203002TA Chikho, TA Vuso Jere454203003TA Chilooko454203004TA Kasakula, TA Nthondo454204001Dowa Boma, TA Mkukula454204002Mponela Urban, TA Mponela454204003TA Chakhaza454204004TA Chiwere454204005TA Dzoole454204006TA Kayembe454204007TA Msakambewa454205001Chipoka Urban, TA Ndindi454205002Salima Town454205003TA Kambalame454205004TA Kambwiri454205005TA Karonga, TA Kuluunda454205006TA Khombedza, TA Msosa454205007TA Maganga454205008TA Mwanza454205009TA Pemba, Lake Malawi National Park - Salina454206001STA Chitekwele454206002STA Mbang'ombe, TA Chitukula454206003TA Chadza454206004All households454206005TA Chiseka, TA Masula, TA Masumbankhunda454206006TA Kabudula454206007TA Kalolo454206008TA Kalumba454206009TA Kalumbu454206010TA Khongoni454206011TA Malili454206012TA Mazengera454206013TA Mtema454206014TA Njewa454206015TA Tsabango454206016Lilongwe City454207001Mchinji Boma454207002STA Gumba, STA Kapunula, STA Pitala, TA Kazyozyo, TA Mkanda454207003STA Nyoka, TA Mduwa454207004TA Dambe, TA Kapondo454207005TA Mavwere454207006TA Mlonyeni454207007TA Simphasi, TA Zulu454208001Dedza Boma454208002TA Chauma454208003TA Chilikumwendo454208004TA Kachere454208005TA Kachindamoto454208006TA Kamenya Gwaza454208007TA Kaphuka454208008TA Kasumbu454208009TA Tambala454209001Ntcheu Boma454209002STA Mkutumula, TA Makwangwala454209003STA Tsikulamowa, TA Phambala454209004TA Chakhumbira454209005TA Champiti454209006TA Goodson Ganya454209007TA Kwataine454209008TA Masasa454209009TA Mpando454209010TA Njolomole454301001TA Mponda, TA Nankumba, Monkey Bay Urban, Lake Malawi National Park - Mangochi454301002Mangochi Town454301003STA Chiunda, TA Chowe454301004STA Lulanga, TA Makanjila454301005STA Ntonda, TA Chilipa, TA Chimwala454301006TA Jalasi454301007TA Katuli454301008TA Mbwana Nyambi454301009TA Namabvi454302001Liwonde Town454302002STA Nsanama, TA Liwonde, Liwonde National Park454302003Machinga Boma, TA Nkula, TA Sitola454302004STA Chesale, TA Nyambi454302005STA Nchinguza, TA Kawinga, TA Nkoola454302006TA Chamba454302007TA Chikweo454302008TA Chiwalo, TA Kapoloma454302009TA Mlomba454302010TA Mposa454302011TA Ngokwe454303001STA Ngwelero, STA Ntholowa, TA Mbiza454303002STA Nkagula, TA Kuntumanji, TA Mkumbira454303003STA Nkapita, TA Mlumbe454303004TA Chikowi454303005TA Malemia454303006TA Mwambo454303007Zomba City454304001Chiradzulu Boma, STA Onga, TA Mpama454304002STA Mpunga, TA Kadewere454304003STA Sandareki, TA Nchema454304004TA Chitera454304005TA Likoswe454304006TA Nkalo454305001TA Chigaru454305002TA Kapeni454305003TA Kuntaja454305004TA Kunthembwe454305005TA Lundu, Makata454305006TA Machinjiri454305008TA Somba454305009Blantyre City454306001Mwanza Boma, STA Govati, TA Nthache454306002TA Kanduku454306003Neno Boma, TA Chekucheku454306004TA Dambe454306005TA Mlauli, Majete Game Reserve - Neno454306006TA Symon Likongwe454307001Luchenza Town, STA Boyidi, TA Chimaliro, TA Nanseta, TA Ngolongoliwa454307002STA Mbawela454307003STA Thukuta454307004TA Bvumbwe454307005TA Changata454307006TA Kapichi454307007TA Kwethemule454307008TA Mphuka454307009TA Nchilamwela, Thyolo Boma454307010TA Nsabwe454307011TA Thomas454308001Mulanje Boma, TA Chikumbu454308002TA Nkanda, Mulanje Mountain Reserve454308003STA Sunganinzeru, STA Tombondiya, TA Mabuka454308004TA Juma454308005TA Laston Njema454308006TA Nthiramanja454309001Phalombe Boma, TA Jenala, TA Kaduya, TA Mkhumba454309002TA Chiwalo, TA Nazombe, TA Nkhulambe454310001Chikwawa Boma, TA Katunga454310002STA Ndakwela, TA Chapananga, Lengwe National Park454310003TA Kasisi, TA Mlilima, Majete Game Reserve454310004Ngabu Urban, STA Masache, TA Ngabu, TA Ngowe454310005TA Lundu454310006TA Makhwira454310007TA Maseya454311001TA Tengani, Mwabvi Game Reserve454311002Nsanje Boma454311003TA Chimombo, TA Ngabu454311004TA Makoko, TA Ndamera, TA Nyachikadza454311005TA Malemia454311006TA Mbenje454311007TA Mlolo454312001Balaka Town454312002STA Kachenga, TA Amidu, TA Kalembo454312003STA Matola, STA Phalula, STA Toleza, TA Chanthunya, TA Msamala, TA Nkaya, TA Sawali454888888Lake MalombeGeography: F-N Variables -- HOUSEHOLDMalawi, Traditional Authority 2008 [Level 2, GIS]GEO2_MW2008 identifies the household's Traditional Authority (TA) within Malawi in 2008. Traditional Authorities (TAs) are the second level administrative units of the country, after districts. A GIS map (in shapefile format), corresponding to GEO2_MW2008 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Malawi 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.101001Mwabulambya, Chitipa101002Mwenemisuku101003Mwenewenya101004Nthalire101005Kameme101099Nyika National Park - Chitipa102001Kilupula102002S/C Mwakaboko102003Kyungu102004Wasambo102005S/C Mwirang'ombe102020Karonga town102099Nyika National Park - Karonga103001Kabunduli, S/C Zilakoma103002Fukamapiri103004S/C Malanda, S/C Fukamalaza, Malenga Mzoma103006Mankhambira, Mkumpa, Likoma Boma103008S/C Mkumbira, Nkhata Bay Boma103009Mususya, S/C Nyaluwanga, S/C Mkondowe, Mkumpha103012Timbiri104001Chikulamayembe, S/C Mwahenga104004S/C Mwalweni, S/C Kachulu, Nyika National Park (A)104007S/C Mwankhunikira, Mwamlowe, S/C Chapinduka104008Katumbi, S/C Zolokere104020Rumphi Boma104099Vwaza Marsh Game Reserve - Rumphi105001M'mbelwa105002Mtwalo, S/C Jaravikuba Munthali105003S/C Kampingo Sibande105005Chindi105006Mzikubola105007Mabulabo105008S/C Khosolo Gwaza Jere105009Mpherembe, Vwaza Marsh Game Reserve - Mzimba105010Mzukuzuku105020Mzimba Boma107032Lupaso ward, Zolozolo ward, Nkhorongo ward107034Chiputula Ward107035Chibanja Ward, Jombo Ward, Muzilawayinge Ward, Chasefu Ward, Katawa Ward, Masasa Ward, Kaning'ina Ward107036Mchengautuwa Ward, New Airport Site107044Viphya Ward, Katoto Ward, Msongwe Ward201001Kaluluma, S/C Chisikwa201002S/C Simlemba201003S/C M'nyanja201005Kaomba201006S/C Lukwa201007S/C Kawamba, Kasungu National Park201008S/C Njombwa201009S/C Chilowamatambe201010Chulu201011Santhe201012Wimbe201013Kapelula201015Mwase201020Kasungu Township202001Kanyenda202002S/C Kafuzila202003Malenga Chanzi202004S/C Mphonde202005Mwadzama202006Mwansambo202020Nkhota Kota Boma202099Nkhotakota Game Reserve203002Chikho203003S/C Nthondo, Kasakula203004Kalumo, Ntchisi Boma203005S/C Chilooko204001Dzoole204002S/C Chakhaza204003S/C Kayembe204004Chiwere204005S/C Mkukula, Dowa Boma204006Msakambewa204007S/C Mponela205001Maganga205002Karonga, Kuluunda205003Pemba205004S/C Kambwiri205005Ndindi, S/C Kambalame205007Khombedza, S/C Msosa205008S/C Mwanza205020Salima Township205099Lake Malawi National Park - Salima206001Chadza206002Kalolo206003Chiseka206004Mazengera206005S/C Chitekwele206006Khongoni206007Chimutu206008Chitukula206009S/C Mtema206010Kalumbu206011S/C Tsabango206012Kalumba206013S/C Njewa206014Malili206015Kabudula207001Mlonyeni207002S/C Mavwere207003Zulu207004S/C Nduwa207005Mkanda207006S/C Dambe207020Mchinji Boma208001Pemba208002S/C Chilikumwenda208003S/C Kaphuka208004Tambala208005S/C Chauma208006Kasumbu208007Kachindamoto208008S/C Kamenya Gwaza208020Dedza Town209001Phambala209002Mpando209003Kwataine, S/C Champiti, Ntcheu Boma209004S/C Makwangwala209006Njolomole209007Chakhumbira209008S/C Goodson Ganya209009Masasa210031Areas 1, 2, 3, 4, 5, 6, 9210037Area 7210038Area 8210040Areas 10, 11, 12, 14, 16, 32, 33, 35, 42, 43210043Area 13210047Area 17210048Areas 18, 28, 30, 51210049Area 19210050Area 20210051Area 21210052Area 22210053Area 23210054Areas 24, 38210055Area 25210056Areas 26, 27, 29, 39, 54210061Area 31210064Area 34210066Area 36210070Area 40210071Area 41210074Area 44210075Areas 45, 46, 57210077Areas 47, 56210078Area 48210079Area 49210080Area 50210082Areas 52, 53, 55210088Area 58301001Mponda301002Chimwala301003Nankumba, Monkey Bay Urban, Lake Malawi National Park301004Jalasi301005S/C M'bwana Nyambi301006S/C Chowe301007Katuli301008Makanjila301009S/C Namabvi301020Mangochi Town302001Liwonde, Liwonde National Park302002S/C Sitola, Machinga Boma302003Kawinga302004S/C Chamba302005S/C Mposa302006S/C Mlomba302007S/C Chikweo302008S/C Ngokwe302009S/C Chiwalo302012Nyambi302022Liwonde Town303001Kuntumanji, S/C Mkumbira303002Mwambo303004Chikowi303005S/C Mbiza303006Mlumbe303007Malemia304001Mpama, Chiradzulu Boma304002Likoswe304003Kadewere304004Nkalo304005Chitera304006Nchema305001Kapeni305002Lundu, Makata305003Chigaru305004Kunthembwe305006Kuntaja305007Machinjili305008Somba306001Kanduku306002Nthache, Mwanza Boma307001Nsabwe, S/C Thukuta307003S/C Mbawela307004Changata307005S/C Mphuka307006S/C Kwethemule307007Kapichi307008Nchilamwela, Thyolo Boma307009Chimaliro, Luchenza Town (A)307010Bvumbwe307011Thomas308001Mabuka308002Laston Njema308003Chikumbu, Mulanje Boma308004Nthiramanja308005Nkanda308006S/C Laston Juma308099Mulanje Mountain Reserve309001Mkhumba, Phalombe Boma309002Nazombe309003Not documented310001Ngabu310002Lundu310003Chapananga, Lengwe National Park310004Maseya310005Katunga, Chikwawa Boma310006Kasisi310007Mankhwira310099Majete Game Reserve - Chikwawa311001Ndamera, S/C Makoko, Nyachikadza311002Chimombo, Ngabu311004Mlolo311005Tengani, Mwabvi Game Reserve311006S/C Mbenje311007Malemia311020Nsanje Boma312001Nsamala312004Kalembo312020Balaka Town313001Dambe313002Mlauli, Majete Game Reserve - Neno313003Symon313004Ngozi, Neno Boma314032Mtiya Ward, Zakazaka ward, Chambo ward, Mbedza Ward, Zomba Central Ward314035Chikamveka North Ward, Chikamveka Ward, Masongola Ward314038Likangala Ward, Chirunga East Ward, Chirunga Ward314042Sadzi Ward, Likangala Central Ward, Likangala South Ward315031Michiru Ward315032South Lunzu Ward315033Mapanga Ward315034Nkolokoti Ward315035Ndirande North ward315036Ndirande South Ward315037Ndirande West Ward, Nyambadwe Ward315039Likhubula Ward315040Chilomoni Ward315041Blantyre West Ward315046Bangwe Ward, Mzedi Ward315047Namiyango ward315048Limbe East, Limbe Central Ward315050Limbe West Ward, Chichiri Ward315051Soche East Ward, Blantyre East ward, Blantyre Central Ward315052Soche West Ward315053Nancholi Ward315054Misesa Ward315055Chigumula Ward, Msamba WardGeography: F-N Variables -- HOUSEHOLDDHS-IPUMS-I Malawi regions, 1987-2018 [consistent boundaries, GIS]DHS_IPUMSI_MW provides geographic codes for Malawi 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_MW indicate the major administrative unit in which the household was enumerated or surveyed.
GIS shapefiles for Malawi can be downloaded here.1Northern2Central3SouthernGeography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLDOwnership of dwelling [general version]OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.0NIU (not in universe)1Owned2Not owned9UnknownHousehold Economic Variables -- HOUSEHOLDOwnership of dwelling [detailed version]OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.000NIU (not in universe)100Owned110Owned, already paid120Owned, still paying130Owned, constructed140Owned, inherited190Owned, other191Owned, house192Owned, condominium193Apartment proprietor194Shared ownership200Not owned210Renting, not specified211Renting, government212Renting, local authority213Renting, parastatal214Renting, private215Renting, private company216Renting, individual217Renting, collective218Renting, joint state and individual219Renting, public subsidized220Renting, private subsidized221Renting, co-tenant222Renting, relative of tenant223Renting, cooperative224Renting, with a job or business225Renting, loan-backed habitation226Renting, mixed contract227Furnished dwelling228Sharecropping230Subletting231Rent to own239Renting, other240Occupied de facto/squatting250Free/usufruct (no cash rent)251Free, provided by employer252Free, without work or services253Free, provided by family or friend254Free, private255Free, public256Free, condemned257Free, other260Endowment, Waqf (Egypt historical)290Not owned, other999UnknownHousehold Economic Variables -- HOUSEHOLDNumber of international migrantsINTMIG1 indicates the number of people from the household who traveled to another country to live and have not permanently returned.00No migrants0110220330440550660770880991010 or more98Unknown99NIU (not in universe)Household Economic Variables -- HOUSEHOLDReceives remittancesREMITT indicates whether the household received remittances from persons living elsewhere.0No1Yes8Unknown9NIU (not in universe)Household Economic 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 -- HOUSEHOLDTelephone availabilityPHONE indicates the availability of a telephone in the dwelling.0NIU (not in universe)1No2Yes9Unknown/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 -- HOUSEHOLDNumber of bedroomsBEDROOMS indicates the number of rooms available to members of the household for sleeping.00No bedrooms01102203304405506607708809910101111121213131414151516161717181819192020+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 numberMalawi 2008: All householdsThis variable indicates the dwelling number.This is a 7-digit numeric variable with 0 implied decimal placesTechnical Household Variables -- HOUSEHOLDNumber of persons in householdMalawi 2008: All householdsThis variable indicates the number of persons in the household.0011002200330044005500660077008800990101001111012120131301414015150161601717018180191902020021210222202323024240252502626027270282802929030300313103232033330343403535036360373703838039390404004141042420434304444045450474704848051510525205353055550565605757059590606006161062620636306464066660696907070071710727207373074740757507777078780828208484085850878708888090900919109292095950969609797100100Technical Household Variables -- HOUSEHOLDDwelling created by splitting apart a large dwelling or householdMalawi 2008: All householdsThis variable indicates whether the dwelling is created by splitting apart a large dwelling or household.0No problem1Yes: households within a large dwelling were split apart into separate dwellings2Yes: persons within a large household were split apart into separate dwellingsTechnical Household Variables -- HOUSEHOLDTown (traditional authority)Malawi 2008: All householdsThis variable indicates the town (traditional authority) the dwelling is located.This is a 3-digit numeric variable with 0 implied decimal placesGeography: F-N Variables -- HOUSEHOLDType of household<svar v="MW08A027" a="all">Type of household:<br /><div class="i1">[] 1 Regular<br />[] 2 Hospital / hotel / lodge<br />[] 3 Other collective<br />[] 0 Homeless</div><br /></svar><svar v="MW08A027">1.5.4 Household<br />It consists of one or more persons, related or unrelated, who live together and make common provision for food. They regularly take all their food from the same pot, and/or share the same grain store (<span class="lang">nkhokwe</span>) or pool their incomes for the purpose of purchasing food. Persons in a household may live in one or more dwelling units.<br /><br />"Usual residents" will be defined as those people who stayed continuously in the household being enumerated for a period of 6 months or more. The questions to be asked in case of doubt, if a person visits home regularly will be "Where does he spend most of his time?" or "<span class="lang">nthawi zambiri amakhalitsa kuti?</span>" in Chichewa. If he/she spends more than 6 months in a certain area then that will be his/her area of residence.<br /><span class="em">1.6 Types of households</span><br />There are three major types of households, namely, regular, collective and homeless.<br /><br />1.6.1 Regular household<br />A household whose members share dwelling units and meals during the census period.<br /><br />1.6.1.1 Special type of regular households:<br /><br /><div class="i1">1.6.1.1.1 Polygamous household(s): a situation where there is one husband and more than one wife and their children.</div><br /><br />a.) Consider as one household if they live and eat together from the same pot and use common budget.<br />b.) If not, count as several households.<br /><br />Note: a husband should be enumerated in the household he slept last night. If all the wives are in the same EA ensure that a husband is enumerated only once.<br /><br />1.6.2 Collective household<br />Refers to a large group of people who live together and sharing common facilities such as kitchen, toilet, lounge, and dormitories. In such situation the residents may not have complete independent quarters that qualify as housing units as their living quarters during the census period. Examples of collective households are hospitals, hotels, lodges, guest houses, camps, institutions (charitable homes, military barracks, boarding schools, convents, prisons, etc.)<br /><br />In some instances there will be both regular household units and collective quarters on the premises e.g. the hospital staff may have their own dwelling units within the hospital premises; employees in hotels may have separate apartments which qualify as dwelling units; etc.<br /><br />1.6.3 Homeless<br />Persons without regular shelter but are found together should be enumerated as one household.<br /></svar></p>
<p><svar v="MW08A021 MW08A022 MW08A023 MW08A024 MW08A025 MW08A026 MW08A027"><span class="h3">Section L: Identification Particulars for All Households</span><br /></svar></p>
<p><svar v="MW08A027" a="all"><span class="em">L7. Type of household:</span><br />Find out the type of household as soon as you start the interview. Types of households are well described on page 8 and 9 of the manual. If the household is regular, shade 1 and ask all the questions. If it is either hospital/hotel/lodge, other collective or homeless, shade the appropriate code and ask questions P3 to P8 only; other information will be collected from their usual residences.<br /></svar>Malawi 2008: All householdsThis variable indicates the type of household.1Regular2Hospital / hotel / lodge3Other collective4HomelessGroup Quarters Variables -- HOUSEHOLDType of dwelling structure<svar v="MW08A032" a="all">D01. Type of dwelling structure<br /><div class="i1">[] 1 Permanent<br />[] 2 Semi-permanent<br />[] 3 Traditional</div><br /></svar><svar v="MW08A032" a="all"><span class="em">1.8 Structure</span><br />A structure is defined as "any unit of construction that has four walls or an all-round wall, a roof and at least one door irrespective of the type of construction materials used". Buildings, caravans, tents, and tinned houses are some examples of structures. Based on the materials used for construction of wall and roof, the structures, in this Census are classified into three major groups: permanent, semi-permanent and traditional.<br /><br />1.8.1 Permanent structure<br />A permanent structure is one having a roof made of iron sheets, tiles, concrete or asbestos, and walls made of burnt bricks, concrete or stones. These include caravans and tinned structures.<br /><br />1.8.2 Semi-permanent structures<br />A semi-permanent structure is one lacking construction materials of a permanent structure for a wall or roof. These are structures which are built of non-permanent walls such as sun-dried bricks or non-permanent roofing materials such as thatch.<br /><br />1.8.3 Traditional structures<br />Traditional structures are those with both thatched roof and mud walls.<br /><br />1.8.4 Structures<br />These are non-residential structures, such as churches, mosques, schools, shops, etc.<br /><span class="em">1.9 Dwelling unit (DU)</span><br />It may be defined as any structure; permanent, semi-permanent or traditional where people live and sleep. It may be a hut, house, stores with a sleeping room or rooms at the back or sides, a shelter of reeds/straw such as those used by fishermen, or any other structure where people sleep.<br /></svar></p>
<p><svar v="MW08A032"><span class="em">D01. Type of Dwelling Unit </span><br />Ask the respondent for the materials used for construction of the Dwelling Unit and shade the appropriate code.<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the type of dwelling structure.1Permanent2Semi-permanent3Traditional9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDTenure of the dwelling<svar v="MW08A033" a="all">D02. Tenure of the dwelling unit<br /><div class="i1">[] 1 Owner / family occupied<br />[] 2 Rented<br />[] 3 Other</div><br /></svar><svar v="MW08A033" a="all"><span class="em">D02. Tenure of the Dwelling Unit </span><br />Ask the respondent for the tenure of Dwelling Unit and shade the appropriate code.<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the tenure status of the dwelling.1Owner/family occupied2Rented3Other9NIU (not in universe)Household Economic Variables -- HOUSEHOLDMain material of the roof<svar v="MW08A034" a="all">D03. What is the main material used for the roof?<br /><div class="i1">[] 1 Grass thatch<br />[] 2 Iron sheets<br />[] 3 Iron / tiles<br />[] 4 Asbestos<br />[] 5 Cement<br />[] 8 Other</div><br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the main material used for the roof.1Grass thatch2Iron sheets3Iron/tiles4Asbestos5Cement6Other9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDMain material of the walls<svar v="MW08A035" a="all">D04. What is the main material used for the wall?<br /><div class="i1">[] 1 Burnt bricks<br />[] 2 Unburnt bricks<br />[] 3 Concrete<br />[] 4 Mud / wattle / dung<br />[] 5 Reeds / straw<br />[] 6 Wood / planks<br />[] 8 Other</div><br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the main material used for the walls.1Burnt bricks2Unburnt bricks3Concrete4Mud/wattle/dung5Reeds/straw6Wood/planks7Other9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDMain material of the floor<svar v="MW08A036" a="all">D05. What is the main material of the floor?<br /><div class="i1">[] 1 Earth / sand<br />[] 2 Dung<br />[] 3 Wood planks<br />[] 4 Palm / bamboo<br />[] 5 Broken bricks<br />[] 6 Parquet or polished wood<br />[] 7 Vinyl or asphalt strips<br />[] 8 Ceramic tiles<br />[] 9 Cement<br />[] 10 Bricks<br />[] 11 Other</div><br /></svar><svar v="MW08A036" a="all"><span class="em">D03. Main material of the floor</span><br />Ask the respondent for the main material of the floor of the Dwelling Unit and shade the appropriate code<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the main material of the floor.01Earth/sand02Dung03Wood planks04Palm/bamboo05Broken bricks06Parquet or polished wood08Ceramic tiles09Cement10Bricks11Other99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms<svar v="MW08A037" a="all">D06. How many rooms do the dwelling units have, excluding bathrooms, toilets, storerooms and garage? _ _<br /></svar><svar v="MW08A037" a="all"><span class="em">D04. Number of rooms</span><br />Enter the number of rooms in the boxes provided and shade the relevant digits.<br /><br />For the total number of rooms, include bedrooms, dining rooms, study rooms, habitable attics, servant's rooms, kitchens, rooms used for business purposes, etc., as long as they meet the criteria of walls and floor space. Do not count passageways, verandas, lobbies, bathrooms, toilets, garages and storerooms as rooms even if they meet the above criteria.<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the number of rooms the dwelling unit has, excluding bathrooms, toilets, storerooms and garage.01102203304405506607708809910101111121213131414+99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDNumber of rooms for sleeping<svar v="MW08A038" a="all">D07. How many of these rooms are used for sleeping? _ _<br /></svar><svar v="MW08A038" a="all"><span class="em">D05. Number of rooms for sleeping</span><br />Ask for the number of rooms used for sleeping. Record the number in the boxes provided and shade the digits as appropriate.<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the number of rooms used for sleeping.0000110220330440550660770880991010+99NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDNumber of occupants<svar v="MW08A039" a="all">D08. How many persons usually sleep in the dwelling units? _ _<br /></svar><svar v="MW08A039" a="all"><span class="em">D06. Number of occupants</span><br />Ask for the number of persons (occupants) who sleep in the dwelling unit. Record the numbers of occupants in the boxes provided, and shade the digits as appropriate.<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the number of persons that usually sleep in this dwelling unit.00001102203304405506607708809910101111121213131414151516161717+32"37"40"41"44"45"56"70"71"82"98Unknown99NIU (not in universe)Constructed Household Variables -- HOUSEHOLDMain source of drinking water in dry season<svar v="MW08A040 MW08A041" a="all">D09. What is the main source of drinking water for members of the household?<br /><div class="i1">Dry season:</div><br /><div class="i2">[] 1 Piped into dwelling<br />[] 2 Piped into yard / plot<br />[] 3 Community stand pipe<br />[] 4 Unprotected well<br />[] 5 Protected well<br />[] 6 Borehole<br />[] 7 Spring<br />[] 8 River / stream<br />[] 9 Pond / lake<br />[] 10 Dam<br />[] 11 Rain water<br />[] 12 Tanker truck / bowser<br />[] 13 Bottled water<br />[] 14 Other</div><br /><br /><div class="i1">Wet season:</div><br /><div class="i2">[] 1 Piped into dwelling<br />[] 2 Piped into yard / plot<br />[] 3 Community stand pipe<br />[] 4 Unprotected well<br />[] 5 Protected well<br />[] 6 Borehole<br />[] 7 Spring<br />[] 8 River / stream<br />[] 9 Pond / lake<br />[] 10 Dam<br />[] 11 Rain water<br />[] 12 Tanker truck / bowser<br />[] 13 Bottled water<br />[] 14 Other</div><br /></svar><svar v="MW08A040 MW08A041" a="all"><span class="em">D07. Main source of water </span><br />Ask about the main source of drinking water for the members of the household and then shade the appropriate code.<br /><div class="i1">Piped into house or dwelling (house connection) - Where the tap is available in the living quarters occupied by the household, shade 1.<br /><br />Piped into yard/plot: If the household members fetch water for domestic use from a tap located outside the house, which is within its premises and is for their exclusive use, shade 2.<br /><br />Community stand pipe: If the members fetch water from a community stand pipe, i.e. other members of the community also fetch water from the stand pipe, shade 3.<br /><br />Unprotected well: This is an artificial means of water supply from underground obtained by boring or digging if the water is not in any way protected from contamination, shade 4.<br /><br />Protected well: Where efforts have been made towards erecting structures around the well or other means have been made to protect the water from contamination, shade 5.<br /><br />Borehole: If the water source is a borehole, shade 6.<br /><br />Spring: This is a natural water supply source from underground. It is a simple outcropping of water to the land surface; shade 7.<br /><br />River/stream: For households which use water from a river/stream, shade 8.<br /><br />Pond/lake: For households which use water from a pond/lake, shade 9.<br /><br />Dam: For households which use water from a dam, shade 10.<br /><br />Rain water: For households which harvest rain water for consumption, shade 11.<br /><br />Tanker truck/bowser: For households which are supplied water by a tanker truck, shade 12.<br /><br />Bottled water: For households which buy bottled water from shops, shade 13.<br /><br />Other: This applies in cases where the source of water supply is not classifiable into any of the categories listed above; shade 88.</div><br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the main source of drinking water in dry season.01Piped into dwelling02Piped into yard/plot03Community stand pipe04Unprotected well05Protected well06Borehole07Spring08River/stream09Pond/lake10Dam12Tanker truck/bowser14Other99NIU (not in universe)Utilities Variables -- HOUSEHOLDMain source of drinking water in wet season<svar v="MW08A040 MW08A041" a="all">D09. What is the main source of drinking water for members of the household?<br /><div class="i1">Dry season:</div><br /><div class="i2">[] 1 Piped into dwelling<br />[] 2 Piped into yard / plot<br />[] 3 Community stand pipe<br />[] 4 Unprotected well<br />[] 5 Protected well<br />[] 6 Borehole<br />[] 7 Spring<br />[] 8 River / stream<br />[] 9 Pond / lake<br />[] 10 Dam<br />[] 11 Rain water<br />[] 12 Tanker truck / bowser<br />[] 13 Bottled water<br />[] 14 Other</div><br /><br /><div class="i1">Wet season:</div><br /><div class="i2">[] 1 Piped into dwelling<br />[] 2 Piped into yard / plot<br />[] 3 Community stand pipe<br />[] 4 Unprotected well<br />[] 5 Protected well<br />[] 6 Borehole<br />[] 7 Spring<br />[] 8 River / stream<br />[] 9 Pond / lake<br />[] 10 Dam<br />[] 11 Rain water<br />[] 12 Tanker truck / bowser<br />[] 13 Bottled water<br />[] 14 Other</div><br /></svar><svar v="MW08A040 MW08A041" a="all"><span class="em">D07. Main source of water </span><br />Ask about the main source of drinking water for the members of the household and then shade the appropriate code.<br /><div class="i1">Piped into house or dwelling (house connection) - Where the tap is available in the living quarters occupied by the household, shade 1.<br /><br />Piped into yard/plot: If the household members fetch water for domestic use from a tap located outside the house, which is within its premises and is for their exclusive use, shade 2.<br /><br />Community stand pipe: If the members fetch water from a community stand pipe, i.e. other members of the community also fetch water from the stand pipe, shade 3.<br /><br />Unprotected well: This is an artificial means of water supply from underground obtained by boring or digging if the water is not in any way protected from contamination, shade 4.<br /><br />Protected well: Where efforts have been made towards erecting structures around the well or other means have been made to protect the water from contamination, shade 5.<br /><br />Borehole: If the water source is a borehole, shade 6.<br /><br />Spring: This is a natural water supply source from underground. It is a simple outcropping of water to the land surface; shade 7.<br /><br />River/stream: For households which use water from a river/stream, shade 8.<br /><br />Pond/lake: For households which use water from a pond/lake, shade 9.<br /><br />Dam: For households which use water from a dam, shade 10.<br /><br />Rain water: For households which harvest rain water for consumption, shade 11.<br /><br />Tanker truck/bowser: For households which are supplied water by a tanker truck, shade 12.<br /><br />Bottled water: For households which buy bottled water from shops, shade 13.<br /><br />Other: This applies in cases where the source of water supply is not classifiable into any of the categories listed above; shade 88.</div><br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the main source of drinking water in wet season.01Piped into dwelling02Piped into yard/plot03Community stand pipe04Unprotected well05Protected well06Borehole07Spring08River/stream09Pond/lake10Dam11Rain water12Tanker truck/bowser14Other99NIU (not in universe)Utilities Variables -- HOUSEHOLDType of toilet facility<svar v="MW08A042" a="all">D10. What kind of toilet facility do the household members use?<br /><div class="i1">[] 1 Flush toilet<br />[] 2 Traditional pit toilet<br />[] 3 Ventilated improved pit (VIP) latrine<br />[] 4 No facility<br />[] 5 Other</div><br /></svar><svar v="MW08A042" a="all"><span class="em">D08. Type of toilet </span><br />Enquire about the type of toilet or means of excreta disposal used in the household and shade the appropriate code.<br /><div class="i1">Flush toilet: This refers to the type of toilet which is characterized by the draining of human excreta by a rush of running water.<br /><br />Traditional pit latrine: This is an ordinary pit latrine built without health or hygienic-related specifications, which has no vent pipe.<br /><br />Pit - VIP (Ventilated Improved latrines): This is a ventilated pit latrine which is defined as an on-site means of human excreta disposal in a hygienic, low cost and more acceptable manner. It comprises amongst other things a vent pipe.<br /><br />No facility: this refers to the use of bushes, veld and other open spaces for this purpose.<br /><br />Other: For other methods of excreta disposal not mentioned above.</div><br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the type of toilet facility used by the household members.1Flush toilet2Traditional pit toilet3Ventilated improved pit (VIP) latrine4No facility5Other9NIU (not in universe)Dwelling Characteristics Variables -- HOUSEHOLDMain source of energy for lighting<svar v="MW08A043" a="all">D11. What is the source of energy the household mainly uses for lighting?<br /><div class="i1">[] 1 Electricity<br />[] 2 Paraffin<br />[] 3 Candles<br />[] 4 Firewood<br />[] 5 Other</div><br /></svar><svar v="MW08A043" a="all"><span class="em">D09. Main source of energy for lighting</span><br />Ask about the main source of energy used by the household mainly for lighting and shade the appropriate response.<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the main source of energy used for lighting.1Electricity2Paraffin3Candles4Firewood5Other9NIU (not in universe)Utilities Variables -- HOUSEHOLDMain source of energy for cooking<svar v="MW08A044" a="all">D12. What is the source of energy the household mainly uses for cooking?<br /><div class="i1">[] 1 Electricity<br />[] 2 Paraffin<br />[] 3 Gas<br />[] 4 Charcoal<br />[] 5 Firewood<br />[] 6 Straw<br />[] 7 Other</div><br /></svar><svar v="MW08A044" a="all"><span class="em">D10. Main source of energy for cooking </span><br />Ask about the main source of energy used by the household for cooking and shade the appropriate response. It is possible that a household may use more than one source of energy at any one time but it is the one that is most often used that should be recorded. Only one code should be shaded.<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates the main source of fuel used for cooking.1Electricity2Paraffin3Gas4Charcoal5Firewood6Straw7Other9NIU (not in universe)Utilities Variables -- HOUSEHOLDOwned a radio<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A045" a="all"><div class="i1">D13. Radio</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned a radio.1Yes2No9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDOwned a television<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A046" a="all"><br /><div class="i1">D14. Television</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned a television.1Yes2No9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDOwned a refrigerator/deep freezer<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A047" a="all"><div class="i1">D15. Refrigerator / deep freezer</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned a refrigerator/deep freezer.1Yes2No9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDOwned a cooker/hot plate<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A048" a="all"><div class="i1">D16. Cooker / hot plate</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned a cooker/hot plate.1Yes2No9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDOwned a bicycle<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A049" a="all"><div class="i1">D17. Bicycle</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned a bicycle.1Yes2No9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDOwned a motorcycle<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A050" a="all"><div class="i1">D18. Motorcycle</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned a motorcycle.1Yes2No9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDOwned a car or truck<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A051" a="all"><div class="i1">D19. Car or truck</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned a car or truck.1Yes2No9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDOwned a telephone<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A052" a="all"><div class="i1">D20. Telephone</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned a telephone.1Yes2No9NIU (not in universe)Utilities Variables -- HOUSEHOLDOwned an ox-cart<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A053" a="all"><div class="i1">D21. Ox-cart</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned an ox-cart.1Yes2No9NIU (not in universe)Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLDOwned an ITN (insecticide-treated net)<svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054">D13-D22. Does the household have the following?<br /></svar></p>
<p><svar v="MW08A054" a="all"><div class="i1">D22. ITN [insecticide-treated net]</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar><svar v="MW08A045 MW08A046 MW08A047 MW08A048 MW08A049 MW08A050 MW08A051 MW08A052 MW08A053 MW08A054" a="all"><span class="em">D11-D20. Assets of the household in functioning condition</span><br /><br />Ask if the household has the listed assets in functioning condition. If the asset is in good, working condition, shade 1 for "Yes", but if the asset is there but no longer functioning, shade 2 for "No".<br /></svar>Malawi 2008: Private households, not homeless [discrepancies: none]This variable indicates whether the household owned an ITN (insecticide-treated net).1Yes2No9NIU (not in universe)Other Household Variables -- HOUSEHOLDHousehold had emigrant member(s)<svar v="MW08A055 MW08A079" a="all">E1. Did any member of the household leave Malawi during the last 10 years (from 1998 to 2008)?<br /><div class="i1">[] 1 Yes<br />[] 2 No (go to section M)</div><br /><br />E2. If yes, provide the following information<br /><div class="i1">Sex</div><br /><div class="i2">[] 1 Male<br />[] 2 Female</div><br /><br /><div class="i1">Age _ _<br /><br />Destination _ _ _<br /><br />Year of departure _ _<br /><br />Activity abroad</div><br /><div class="i2">[] 1 Mines<br />[] 2 Farms<br />[] 3 Student<br />[] 4 Official business<br />[] 5 Medical<br />[] 8 Other</div><br /></svar><svar v="MW08A055 MW08A079" a="all"><span class="em">E1. Members of the household who have emigrated</span><br />Ask if there are usual household members who have emigrated in the last 10 years (from 1998 to 2008).<br /><div class="i1">Shade code 1 if the response is "Yes" and then proceed to ask question E2.<br />Shade code 2, if the response is "No" and skip to Section M (Mortality).</div><br /></svar>Malawi 2008: All householdsThis variable indicates whether any member of the household left Malawi during the last 10 years (from 1998 to 2008).1Yes2NoHousehold Economic Variables -- HOUSEHOLDHousehold received remittances<svar v="MW08A056" a="all">E3. Did the household receive remittances (cash or goods) during the last 5 years (from 2003 to 2008) from any of the members who have emigrated?<br /><div class="i1">[] 0 No (go to section M)<br />[] 1 Yes, remittances - money<br />[] 2 Yes, remittances - goods<br />[] 3 Don't know (go to section M)</div><br /></svar><svar v="MW08A056" a="all"><span class="em">E3. Remittances </span><br />Ask if the household received any remittances (anything in terms of goods or cash) in the last five years (from 2003 to 2008) from the emigrant.<br /><br />If the response is 0 or 3, skip to Section M.<br /></svar>Malawi 2008: Private households with emigrant member(s) [discrepancies: type I 0.4%; type II none]This variable indicates whether the household has received remittances during the last 5 years (from 2003 to 2008) from any of the members who have emigrated.0No1Yes, remittances - money2Yes, remittances - goods8Unknown9NIU (not in universe)Household Economic Variables -- HOUSEHOLDRegularity of remittances<svar v="MW08A057" a="all">E4. How regular were these remittances (cash or goods)?<br /><div class="i1">[] 1 Quite regular<br />[] 2 Somewhat regular<br />[] 3 From time to time<br />[] 4 Rarely</div><br /></svar><svar v="MW08A057" a="all"><span class="em">E4. Regularity of remittances</span><br />Enquire how often the emigrant(s) send cash or goods to the household and shade the appropriate code.<br /></svar>Malawi 2008: Private households with emigrant member(s) and receiving remittances [discrepancies: none]This variable indicates how regular were remittances received by the household during the last 5 years (from 2003 to 2008) from any of the members who have emigrated.1Quite regular2Somewhat regular3From time to time4Rarely9NIU (not in universe)Household Economic Variables -- HOUSEHOLDHousehold had deaths in last 12 months<svar v="MW08A058" a="all">M1. Is there any member of the household who died during the last 12 months?<br /><div class="i1">[] 1 Yes<br />[] 2 No (end of questionnaire)</div><br /></svar><svar v="MW08A058 MW08A078" a="all"><span class="em">Deaths in the household in the last 12 months</span><br />Regarding the number of people who died in the household in the last 12 months. Do not forget children (younger than one year old, July 2007 to June 2008).<br /><br />You should be very careful on how to phrase the question. Example: "Is there any usual member of the household who died during the last 12 months, i.e. since July 2007?"<br /><br /><span class="em">M1. Deaths that occurred in the household</span><br />If there are deaths that occurred within the last 12 months (since July 2007), shade 1 for "Yes" and proceed to ask question M2. If there are no deaths, skip to section MM.<br /></svar>Malawi 2008: Private households [discrepancies: type I 2.0%; type II 0.5%]This variable indicates if the household had deaths in the last 12 months.1Yes2No8Unknown9NIU (not in universe)Other Household Variables -- HOUSEHOLDPresent residents - male<span class="h3">Total present and visitors</span></p>
<p>Present resident</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Visitors</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Total</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><svar v="MW08A059 MW08A060 MW08A061 MW08A062 MW08A063 MW08A064" a="all"><span class="h3">Total present and visitors</span><br />This section is a summary of the total population of the household. You should record all the members of the household that are present during your visit to a particular household in the box labeled "Present resident". After, record all the visitors in the box labeled "Visitors". Add the total number of present residents and visitors and record the total in the box labeled "Total".<br /></svar>Malawi 2008: All householdsThis variable indicates the number of male residents present during enumeration.0000110220330440550660770880991010111112121313+Constructed Household Variables -- HOUSEHOLDPresent residents - female<span class="h3">Total present and visitors</span></p>
<p>Present resident</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Visitors</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Total</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><svar v="MW08A059 MW08A060 MW08A061 MW08A062 MW08A063 MW08A064" a="all"><span class="h3">Total present and visitors</span><br />This section is a summary of the total population of the household. You should record all the members of the household that are present during your visit to a particular household in the box labeled "Present resident". After, record all the visitors in the box labeled "Visitors". Add the total number of present residents and visitors and record the total in the box labeled "Total".<br /></svar>Malawi 2008: All householdsThis variable indicates the number of female residents present during enumeration.0000110220330440550660770880991010111112121313+Constructed Household Variables -- HOUSEHOLDPresent residents - total<span class="h3">Total present and visitors</span></p>
<p>Present resident</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Visitors</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Total</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><svar v="MW08A059 MW08A060 MW08A061 MW08A062 MW08A063 MW08A064" a="all"><span class="h3">Total present and visitors</span><br />This section is a summary of the total population of the household. You should record all the members of the household that are present during your visit to a particular household in the box labeled "Present resident". After, record all the visitors in the box labeled "Visitors". Add the total number of present residents and visitors and record the total in the box labeled "Total".<br /></svar>Malawi 2008: All householdsThis variable indicates the total number of residents present during enumeration.00001102203304405506607708809910101111121213131414151516161717181819192020+Constructed Household Variables -- HOUSEHOLDVisitors - male<span class="h3">Total present and visitors</span></p>
<p>Present resident</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Visitors</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Total</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><svar v="MW08A059 MW08A060 MW08A061 MW08A062 MW08A063 MW08A064" a="all"><span class="h3">Total present and visitors</span><br />This section is a summary of the total population of the household. You should record all the members of the household that are present during your visit to a particular household in the box labeled "Present resident". After, record all the visitors in the box labeled "Visitors". Add the total number of present residents and visitors and record the total in the box labeled "Total".<br /></svar>Malawi 2008: All householdsThis variable indicates the number of male visitors to the household during enumeration.00112233445566778899+Constructed Household Variables -- HOUSEHOLDVisitors - female<span class="h3">Total present and visitors</span></p>
<p>Present resident</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Visitors</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Total</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><svar v="MW08A059 MW08A060 MW08A061 MW08A062 MW08A063 MW08A064" a="all"><span class="h3">Total present and visitors</span><br />This section is a summary of the total population of the household. You should record all the members of the household that are present during your visit to a particular household in the box labeled "Present resident". After, record all the visitors in the box labeled "Visitors". Add the total number of present residents and visitors and record the total in the box labeled "Total".<br /></svar>Malawi 2008: All householdsThis variable indicates the number of female visitors to the household during enumeration.00112233445566778899+Constructed Household Variables -- HOUSEHOLDVisitors - total<span class="h3">Total present and visitors</span></p>
<p>Present resident</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Visitors</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Total</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><svar v="MW08A059 MW08A060 MW08A061 MW08A062 MW08A063 MW08A064" a="all"><span class="h3">Total present and visitors</span><br />This section is a summary of the total population of the household. You should record all the members of the household that are present during your visit to a particular household in the box labeled "Present resident". After, record all the visitors in the box labeled "Visitors". Add the total number of present residents and visitors and record the total in the box labeled "Total".<br /></svar>Malawi 2008: All householdsThis variable indicates the total number of visitors to the household during enumeration.00112233445566778899+Constructed Household Variables -- HOUSEHOLDTotal enumerated - male<span class="h3">Total present and visitors</span></p>
<p>Present resident</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Visitors</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Total</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><svar v="MW08A065 MW08A066 MW08A067" a="all"><span class="em">P01. All members of the household</span><br />On reaching the household you should establish all members of the household who slept at the household the night before you arrived. These members are referred to as "Present members". List their names serially starting with the head of the household. After these members have been listed ask the respondent if there are other household members that usually stay in the household but did not sleep in the household prior to your arrival, herein referred to as Absent Members. If there are, then list their names, (See definition of "Present" and "Absent" members on page 8). Then list the names of visitors who slept in the household last night. Please note that in this case, age sequence does not matter. However, for the listing of present members, it will be convenient if the listing is ordered starting with the spouse, eldest son/daughter, other relative and non-relative. If more than 8 members are present in the household, use a Continuation Sheet. All usual members of the household absent should be listed if they have been absent for less than 6 months.<br /><br />Write two names for each household member in the spaces provided, starting with the first name followed by the surname. If a small child has no name, write "Baby" as the first name, e.g. "Baby Phiri". Remember to include all visitors (who spent a night in the household) or a servant (if he/she lives in the household). Record information of visitors on questions P2 to P8 only.<br /><br />List all the household members first before starting individual questions (P2 onwards). All information about members of the household should be provided by the head of the household or the most responsible person in the household.<br /><br />When asking questions, start with the person on P1 who is a head of the household and ask questions P2 to P27. Ask questions P28 to P29 for men and women aged 12 years or older and ask questions P30 to P33 for women age 12 years or older. For men and women younger than 12 years, go to the next person. When you finish with persons, ask about dwelling units (DUs).<br /></svar>Malawi 2008: All householdsThis variable indicates the total number of male enumerated.000011022033044055066077088099101011111212+Constructed Household Variables -- HOUSEHOLDTotal enumerated - female<span class="h3">Total present and visitors</span></p>
<p>Present resident</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Visitors</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Total</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><svar v="MW08A065 MW08A066 MW08A067" a="all"><span class="em">P01. All members of the household</span><br />On reaching the household you should establish all members of the household who slept at the household the night before you arrived. These members are referred to as "Present members". List their names serially starting with the head of the household. After these members have been listed ask the respondent if there are other household members that usually stay in the household but did not sleep in the household prior to your arrival, herein referred to as Absent Members. If there are, then list their names, (See definition of "Present" and "Absent" members on page 8). Then list the names of visitors who slept in the household last night. Please note that in this case, age sequence does not matter. However, for the listing of present members, it will be convenient if the listing is ordered starting with the spouse, eldest son/daughter, other relative and non-relative. If more than 8 members are present in the household, use a Continuation Sheet. All usual members of the household absent should be listed if they have been absent for less than 6 months.<br /><br />Write two names for each household member in the spaces provided, starting with the first name followed by the surname. If a small child has no name, write "Baby" as the first name, e.g. "Baby Phiri". Remember to include all visitors (who spent a night in the household) or a servant (if he/she lives in the household). Record information of visitors on questions P2 to P8 only.<br /><br />List all the household members first before starting individual questions (P2 onwards). All information about members of the household should be provided by the head of the household or the most responsible person in the household.<br /><br />When asking questions, start with the person on P1 who is a head of the household and ask questions P2 to P27. Ask questions P28 to P29 for men and women aged 12 years or older and ask questions P30 to P33 for women age 12 years or older. For men and women younger than 12 years, go to the next person. When you finish with persons, ask about dwelling units (DUs).<br /></svar>Malawi 2008: All householdsThis variable indicates the total number of female enumerated.000011022033044055066077088099101011111212+Constructed Household Variables -- HOUSEHOLDTotal enumerated - total<span class="h3">Total present and visitors</span></p>
<p>Present resident</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Visitors</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><p>Total</p>
<div class="i1">Male _ _<br />Female _ _<br />Total _ _ _</div><svar v="MW08A065 MW08A066 MW08A067" a="all"><span class="em">P01. All members of the household</span><br />On reaching the household you should establish all members of the household who slept at the household the night before you arrived. These members are referred to as "Present members". List their names serially starting with the head of the household. After these members have been listed ask the respondent if there are other household members that usually stay in the household but did not sleep in the household prior to your arrival, herein referred to as Absent Members. If there are, then list their names, (See definition of "Present" and "Absent" members on page 8). Then list the names of visitors who slept in the household last night. Please note that in this case, age sequence does not matter. However, for the listing of present members, it will be convenient if the listing is ordered starting with the spouse, eldest son/daughter, other relative and non-relative. If more than 8 members are present in the household, use a Continuation Sheet. All usual members of the household absent should be listed if they have been absent for less than 6 months.<br /><br />Write two names for each household member in the spaces provided, starting with the first name followed by the surname. If a small child has no name, write "Baby" as the first name, e.g. "Baby Phiri". Remember to include all visitors (who spent a night in the household) or a servant (if he/she lives in the household). Record information of visitors on questions P2 to P8 only.<br /><br />List all the household members first before starting individual questions (P2 onwards). All information about members of the household should be provided by the head of the household or the most responsible person in the household.<br /><br />When asking questions, start with the person on P1 who is a head of the household and ask questions P2 to P27. Ask questions P28 to P29 for men and women aged 12 years or older and ask questions P30 to P33 for women age 12 years or older. For men and women younger than 12 years, go to the next person. When you finish with persons, ask about dwelling units (DUs).<br /></svar>Malawi 2008: All householdsThis variable indicates the total number of persons enumerated.00001102203304405506607708809910101111121213131414151516161717181819192020+Constructed Household Variables -- HOUSEHOLDUrban/rural statusMalawi 2008: All householdsThis variable indicates whether the household is located in urban or rural area.1Urban2Rural9UnknownGeography: F-N Variables -- HOUSEHOLDNumber of deaths in last year<svar v="MW08A078" a="all">M2. Specify the sex and age of the deceased<br /><div class="i1">Death no. ____</div><br /></svar><svar v="MW08A058 MW08A078" a="all"><span class="em">Deaths in the household in the last 12 months</span><br />Regarding the number of people who died in the household in the last 12 months. Do not forget children (younger than one year old, July 2007 to June 2008).<br /><br />You should be very careful on how to phrase the question. Example: "Is there any usual member of the household who died during the last 12 months, i.e. since July 2007?"<br /><br /><span class="em">M1. Deaths that occurred in the household</span><br />If there are deaths that occurred within the last 12 months (since July 2007), shade 1 for "Yes" and proceed to ask question M2. If there are no deaths, skip to section MM.<br /></svar>Malawi 2008: All householdsThis variable indicates the total number of people that died during the last twelve months.00112233445566+Other Household Variables -- HOUSEHOLDNumber of emigrants in last ten years<svar v="MW08A055 MW08A079" a="all">E1. Did any member of the household leave Malawi during the last 10 years (from 1998 to 2008)?<br /><div class="i1">[] 1 Yes<br />[] 2 No (go to section M)</div><br /><br />E2. If yes, provide the following information<br /><div class="i1">Sex</div><br /><div class="i2">[] 1 Male<br />[] 2 Female</div><br /><br /><div class="i1">Age _ _<br /><br />Destination _ _ _<br /><br />Year of departure _ _<br /><br />Activity abroad</div><br /><div class="i2">[] 1 Mines<br />[] 2 Farms<br />[] 3 Student<br />[] 4 Official business<br />[] 5 Medical<br />[] 8 Other</div><br /></svar><svar v="MW08A055 MW08A079" a="all"><span class="em">E1. Members of the household who have emigrated</span><br />Ask if there are usual household members who have emigrated in the last 10 years (from 1998 to 2008).<br /><div class="i1">Shade code 1 if the response is "Yes" and then proceed to ask question E2.<br />Shade code 2, if the response is "No" and skip to Section M (Mortality).</div><br /></svar>Malawi 2008: All householdsThis variable indicates total number of people that migrated to another country during the last 10 years (from 1998 to 2008).001122334455+Household Economic Variables -- HOUSEHOLDStrataMalawi 2008: All householdsThis variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page.This is a 5-digit numeric variable with 0 implied decimal placesGeography: F-N 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.
In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships.
Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.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 -- 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 -- PERSONNumber of births last yearBIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months.0None11 (1 or more)223344+8Unknown9NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren surviving from births last yearBIRTHSURV indicates the number of children born in the past twelve months who were still living at the time of the census.0011 (1 or more)223344+8Unknown9NIU (not in universe)Fertility 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 -- 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 -- PERSONCountry of citizenshipNATION indicates the person's country of citizenship.00000NIU (not in universe)10000Africa11000Eastern Africa11010Burundi11020Comoros11030Djibouti11040Eritrea11050Ethiopia11060Kenya11070Madagascar11080Malawi11090Mauritius11100Mozambique11110Reunion11120Rwanda11130Seychelles11140Somalia11150South 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/Tunisia13020Egypt/United Arab Rep.13021Egypt/Sudan13030Libya13040Morocco13050Sudan13060Tunisia13070Western Sahara13999Northern Africa, other or n.s.14000Southern Africa14010Botswana14020Lesotho14030Namibia14040South Africa14050Swaziland14999Southern Africa, other or n.s.15000Western Africa15010Benin15020Burkina Faso15030Cape Verde15040Ivory Coast15050Gambia15060Ghana15070Guinea15080Guinea-Bissau15090Liberia15100Mali15110Mauritania15120Niger15130Nigeria15140St. Helena and Ascension15150Senegal15160Sierra Leone15170Togo15999West Africa, other or n.s.19999Africa, other or n.s.20000Americas21000Caribbean21010Anguilla21020Antigua-Barbuda21030Aruba21040Bahamas21050Barbados21060British Virgin Islands21070Cayman Isles21080Cuba21090Dominica21100Dominican Republic21110Grenada21120Guadeloupe21130Haiti21140Jamaica21150Martinique21160Montserrat21170Netherlands Antilles21180Puerto Rico21190St. Kitts-Nevis21220St. Lucia21240St. Vincent21250Trinidad and Tobago21260Turks and Caicos21270U.S. Virgin Islands21999Caribbean, 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 America24010Bermuda24020Canada24021Canada, First Nations24030Greenland24040United 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/Pakistan32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan32990Burma, India, Pakistan, Ceylon32999South-Central Asia, other or n.s.33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam33991Laos and Cambodia33992Malaysia and Singapore33999South-Eastern Asia, other or n.s.34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34051Abkhazia34052South Ossetia34060Iraq34070Israel34080Jordan34090Kuwait34100Lebanon34110Palestine34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34991Middle East34999Western Asia, other or n.s.39999Asia, other or n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41021Bulgaria/Greece41030Czech Republic/Czechoslovakia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41992Central-Eastern Europe41999Eastern Europe, other or n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42100Svalbard and Jan Mayen Islands42110Sweden42120United Kingdom42121Britain42122Scotland42123Wales42990Nordic countries42999Northern Europe, other or n.s.43000Southern Europe43010Albania43020Andorra43030Bosnia and Herzegovina43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Kosovo43144Serbia and Montenegro43999Southern Europe, other or n.s.44000Western Europe44010Austria44011Austro-Hungarian44020Belgium44022Belgium/Netherlands/Luxemburg44030France44040Germany44041East Germany44042West Germany44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland44999Western Europe, other or n.s.49992European Union49993European Union (Original 15)49994Other European Union49999Europe, 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.53050Palau53999Micronesia, 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.90000Other countries n.s.99998No citizenship/nationality99999UnknownNativity and Birthplace Variables -- PERSONHas birth certificate or birth is registeredBTHCERT indicates whether the person has a birth certificate or their own birth is registered.1Yes2No3Respodent does not know8Unknown9NIU (not in universe)Nativity and Birthplace Variables -- PERSONDistrict of birth, Malawi; [Level1: consistent boundaries, GIS]BPL1_MW indicates the person's district of birth within Malawi. Birthplace district codes from BPL1_MW are compatible with codes from GEO1_MW.
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.454101Chitipa454102Karonga454103Nkhata Bay, Likoma454104Rumphi454105Mzimba, Mzuzu City454201Kasungu454202Nkhotakota454203Ntchisi454204Dowa454205Salima454206Lilongwe, Lilongwe City454207Mchinji454208Dedza454209Ntcheu454301Mangochi454302Machinga454303Zomba, Zomba City454304Chiradzulu454305Blantyre, Blantyre City454306Mwanza, Neno454307Thyolo454308Mulanje454309Phalombe454310Chikwawa454311Nsanje454312Balaka454997Abroad454998UnknownNativity and Birthplace Variables -- PERSONReligion [general version]RELIGION indicates the person's religion, including "none."0NIU (not in universe)1No religion2Buddhist3Hindu4Jewish5Muslim6Christian7Other9UnknownEthnicity and Language Variables -- PERSONReligion [detailed version]RELIGION indicates the person's religion, including "none."0000NIU (not in universe)1000No religion1001Atheist1002Agnostic1003Without religion2000Buddhist3000Hindu4000Jewish5000Muslim5005Ahmadis5006Sunni6000Christian6001Catholic (Roman or unspecified)6002Orthodox6003Protestant6004Evangelical protestant6005Pentecostal6006Adventist / Seventh-day adventist6007Anglican6008Assembly of God6009Baptist6010Church of the Nazarene6011Congregational6012Dutch Reformed6013Episcopalian6014Jehovah's Witnesses6015Latter Day Saints (Mormon)6016Lutheran6017Mennonite6018Methodist6019New Apostolic6020Presbyterian6021Zion Christian6022Moravian6090Other Christian, historical6100Other Christian, Armenia6101Armenia apostolic6102Nestorian6103Molokai6104Other Christian, Austria6105Old Catholic6106Protestant, Augsburg confession6107Protestant, Westminster confession6108Protestant, Helvetic confession6109Greek Oriental6110Armenian Apostolic6111Other Protestant6112Christian Community for renewal6113Christian Community, not specified6114Other Christian, Benin6115Other Christian6116Celestial6117Other Christian, Brazil6118Christian Congregation of Brazil6119Brazilian Catholic Apostolic6120Brazil for Christ6121Foursquare Gospel6122Universal of the Kingdom of God6123House of the Blessing6124House of Prayer6125God is Love6126Maranata6127Other Christian, Brazil 19916128Undetermined Protestant6129Other traditional Protestant6130Neo-Christian6131Other Neo-Christian6132Undetermined Christian6133Other Christian, Brazil 20006134Other Catholic6135Renewed Evangelical Protestant without institutional ties6136Pentecostal Evangelical without institutional ties6137New Life Evangelical Protestant Pentecostal6138Evangelical Protestant Biblical Revival Pentecostal6139Chain Of Prayer Pentecostal6140Undetermined Evangelical Protestant6141Religion Of God6142Christian without institutional ties6143Other Christian, Brazil 20106144Salvation Army6145Other Christian, Canada6146Other Catholic6147United Church6148Protestant, not specified6149Other Protestant6150Other Christian, Cameroon6151Other Christian, Fiji6152Christian undefined6153Church of England6154Gospel Hall and Brethern6155Christian Mission Fellowship (CMF) or Every Home6156Salvation Army6157All Nations Christian Fellowship6158Apostles Gospel Outreach Fellowship6159Christian Outreach Centre6160Other Christian6161Other Christian, Germany6162Oriental Christian6163Other Christian, Ghana6164Other Christian, Iran6165Assyrian or Chaldean6166Armenian6167Other Christians6168Other Christian, Indonesia6169Other Christian6170Protestant/Other Christian6171Other Christian, Ireland6172Church of Ireland6173Church of Scotland6174Independent6175Unitarian6176Salvation Army6177Free Church6178Brethren6179Christian Brethren6180Plymouth Brethren6181Quaker6182Other Christians6183Other Christian, Ivory Coast6184Other Christian, Jamaica6185Brethren6186Church of God6187Church of God of Prophecy6188Other Church of God6189United Church6190Salvation Army6191New Testament6192Disciples of Christ6193Other Christian, Mauritius6194Christian Tamil6195Salvation and Healing Mission6196Voice of Deliverance6197Other Christian6198Other Christian, Mexico6199Anabaptist6200Calvinist6201Cuaquera6202Disciples of Christ6203Christian Friendship Church6204Prayer House Church6205Faith Center6206Agape Force Church6207Alpha and Omega Church6208Living Water Church6209Apostolic Church6210Church of God6211Church of God of Prophecy6212Complete Gospel Church6213Evangelical Siblings Church6214Upper Room Church6215Pentecostal Indigenous Church6216Angular Stone Voice Church6217Pentecostal Missionary6218Christian6219Christian Societies6220Evangelical6221Evangelical Societies6222New Testament Evangelical6223Pentecostal6224Pentecostal Societies6225Independent Pentecostal6226Evangelical Christian Societies6227Pentecostal Christian Societies6228Evangelical Pentecostal Societies6229Evangelical Pentecostal Christian Societies6230Soldiers of Christ's Cross Church6231Tabernacle6232Traditionalists6233Other Evangelical Pentecostal Societies6234Pentecostal not clearly specified6235Living God, Light of the World6236Christian and Missionary Alliance6237Non-Pentecostal Apostolic6238Evangelical Associations6239Biblical6240Confraternities6241Christ Church6242Peace Grace and Misericordia Church6243Open Bible Church6244Holiness Church6245Evangelical Salem Church6246Beautiful Woman Dressed in the Sun6247Messianic Church6248Evangelical Ministers6249Evangelical Missionaries6250Evangelical Movements6251New Jerusalem6252World Vision Church6253Evangelical not clearly specified6254Biblical - non-evangelicals6255Other Christians not clearly specified6256Assumptionist6257Carmelite6258Claretian6259Conception Franciscan6260Maronite Diocese of Mexico6261Dominican6262Servants of Mary Immaculate6263Franciscan6264Guadalupan6265Daughters of the Immaculate Conception6266Jesuit6267Legionaries of Christ6268Divine Word Missionary6269Pauline6270Sacred Heart6271Saint Joseph of Tarbes6272Servant of the Lord and the Virgin6273Servant of Jesus6274Greek Catholic Church6275Reformed Roman Catholic Church6276Mexican National Catholic Church6277Tridentine Latin Rite Catholic Church6278Priestly Society Trento6279Mexican Catholic Union of Trento6280Anabaptist / Memnonite6281Anglican / Episcopal6282House of Prayer6283Center of Faith, Hope and Love of the Missionary Revival Crusade6284Center of Faith, Hope and Love Agape Force6285Salvation Army6286Independent Pentecostal Fellowship6287Upper Chamber Church6288Faith Apostolic Church of Jesus Christ6289Spiritual Christian Church6290Pentecostal Evangelical Christian Church6291Interdenominational Christian Church6292Church of God Full Gospel in Mexico6293Church of Jesus Christ on the Rock6294Christ Evangelical Pentecostal Church Rock of my Salvation6295Mexican Church of Christ's Gospel Pentecost6296United Pentecostal Church of Mexico6297Universal Church of the Kingdom of God6298Only Christ Savior Christian Church6299Independent Evangelical Pentecostal Movement6300Prince of Peace6301National Union of Evangelical Christian Churches (UNICE)6302Union of Independent Evangelical Churches6303Other associations Pentecostal6304Church of the Living God, Pillar and Support of Truth, the Light of the World6305Bible Church6306Interdenominational Christian Church in Mexico6307Church of Christ6308Honey Church of Christ6309Independent Evangelical Church in Mexico6310Renewed Church of Jesus Christ and the Apostles of Divine Love6311Other Christian and Evangelical associations without Pentecostal support6312Faith Christian Church6313Traditional Apostolic Catholic Holy Church Mexico-USA6314Mexican Apostolic Catholic Church6315Elias6316Spiritualistic6317Spiritualist6318Marian Trinitarian Spirituality6319Spirituality of the Third Age6320Christian Spiritual6321Judiciary Society Reign of Leonardo Alcalá Leos6322Spirituality for the Divine Master and the purity of Mary6323Light and Hope6324Holy Spirit, Purity, Love and Light6325Christian Science6326Neo-Israelite Jewish Syncretic Movements6327Other Christian, Netherlands6328Reformed Churches in The Netherlands6329Other Reformed6330Other Christian, Papua New Guinea6331Asian Pacific Christian Mission6332Asutalian Church6333Bamu River Mission6334Christian Brethren Church of PNG6335Christian Mission of Many Lands6336Christian Revival Crusade6337Christain Union Mission6338Church of Christ of PNG6339Faith mission6340Four Square Gospel Mission6341Kwato Church6342Life Center6343Lighthouse church6344New Guinea Gospel Mission6345New Life Mission6346New tribes Mission6347Paliau Christian Native Church6348Rhema Fellowship6349Salvation Army6350Sovereign Grace6351United Church6352Wewak Fellowship6353Western Highland6354Independent6355Plymouth Brethern6356Tiliba Mission6357Tokarara Christian Fellowship6358Village Mission6359Other Christian6360Other Christian, Paraguay6361Christian Community6362Free Brothers6363Church of God6364Church of God of Prophecy6365New testament6366God is love6367Universal Church of the Kingdom of God6368People of God6369Family worship center6370Pseudo-Christian groups6371Other Christian, Philippines6372Aglipay6373Bible Christian Committees6374Born-again Christian6375Bread of Life Ministries6376Cathedral of Praise, Incorporated6377Charismatic Full Gospel Ministries6378Christ the Living Stone Fellowship6379Christian and Missionary Alliance6380Christians Missions6381Christian Reformed Church in the Philippines, Incorporated6382Church of Christ6383Crusaders of the Divine Church of Christ, Incorporated6384Evangelical Christian Outreach Foundation6385Evangelical Free Church6386Filipino Assemblies of the First Born Inc.6387Foursquare Gospel6388Free Believers in Christ Fellowship6389Free Mission in the Philippines Inc.6390God World Mission6391Good News Christian Churches6392IEMELIF Reform Movement6393Iglesia Evangelista Methodista en Las6394Iglesia Evangelica Unida de Cristo6395Iglesia ni Cristo6396Iglesia sa Dios Espiritu Santo, Incorporated6397Jesus Christ Saves Global Outreach6398Jesus is Alive Community, Incorporated6399Jesus is Lord Church6400Jesus Reigns Ministries6401Love of Christ International Ministries6402Other Evangelical6403Other Evangelical Church6404Other Protestants6405Philippine Ecumenical Christian Church6406Philippine Evangelical Mission6407Philippine Grace Gospel Fellowship6408Philippines Benevolent Missionaries6409Philippines General Council of the Assemblies of God6410Potter's House Christian Center6411Salvation Army Philippines6412Take the Nation for Jesus Global Ministries (Corpus Christi)6413UNIDA Evangelical Church6414Union Espiritista Cristiana de Filipinas, Incorporated6415United Church of Christ in the Philippines6416United Evangelical Church of the Philippines (Chinese)6417Victory Chapel Christian Fellowship6418Wesleyan Church6419World Missionary Evangelism6420Worldwide Church of God6421Zion Christian Community Church6422Other Christian, Portugal6423Other Christian, Romania6424Greek Catholic6425Reformed Church6426Evangelic of Augustan Confession6427Evangelic Synodo-Presbyterian6428Christian of Old Rite6429Christian by Gospel6430Evangelic6431Other Christian, Rwanda 20026432Other Christian, Sierra Leone6433Other Christian, Slovak Republic6434Old Catholic6435Greek Catholic6436Christian Reformed6437Other Christian, South Africa6438Reformed6439International Fellowship of Christian Churches6440Apostolic Faith Mission of SA6441Other Apostolic Churches6442Pinkster Protestant Church6443Afrikaanse Protestant Church6444Full Gospel Church of God in Southern Africa6445Pentecostal Churches6446Salvation Army6447Bandla Lama Nazaretha6448African Methodist Episcopal Church6449St John's Apostolic Church6450International Pentecost Church6451Ethiopian type churches6452Ethnic churches6453Other African Independent Churches6454Other Christian Churches6455Other Catholic Churches6456Other Pentecostal Churches6457Other Orthodox Churches6458Other African Apostolic churches6459Other Assemblies6460Christian Scientist6461Christian Centres6462Other Evangelical Churches6463Other Charismatic Churches6464Just a Christian or non-denominational6465Other6466Other Christian, Suriname6467Other Christian6468Other Christian, Saint Lucia6469Church of God6470Other Christian, Senegal6471Other Christian6472Other Christian, Switzerland6473Other protestant churches and communities6474Christ-Catholic church6475Other Christian communities6476Other Christian, Trinidad and Tobago6477Church of God6478African Methodist Espiscopalians6479Brethren, Christian or Plymouth6480Church of Christ6481Gospel Hall or Gospel Missionary6482Nazarenes6483Pilgrim Holiness6484Ethiopian Orthodox6485Open Bible Church6486Assemblies of Yahweh6487Evangelical Church of West Indies6488Christadelphian6489Full Gospel Fellowship6490Dutch Reform6491Christian Brotherhood Assembly6492Other Christian, Uganda6493Other Christian6494Salvation Army6495Other Christian non-Catholic, Uruguay6496Other Christian non-Catholic, Guatemala6497Other Christian, Togo7000Other7001Bahai7002Sikh7003Rastafarian7100Other, Armenia7101Pagan7102Shar-fadinian7103Other, Austria7104Unification Church, Austria7105Other, Benin7106Traditional7107Vodoun7108Other, Botswana7109Badimo7110Other, Brazil7111Spiritist7112Kardecist Spiritist7113Afro Spiritist7114Mediumistic Spiritist7115Umbandist Mediumistic7116Candomblecist Mediumistic7117Other Afro-Brazilian7118Oriental, Brazil7119New Oriental7120Oriental Seicho No-le7121Other Oriental, Brazil7122Esoteric, Brazil7123Indigenous, Brazil7124Other minority groups, Brazil7125Other, Burkina Faso7126Animist7127Other, Cameroon7128Animist7129Other, Canada7130Eastern religions, Canada7131Other, Chile7132Theosophism7133Shintoism7134Other, Ethiopia7135Traditional7136Other, Ethiopia7137Other, Fiji7138Confucian7139Kabir Panthi7140Satya Sai Baba7141Bahai7142Other non-Christian, Fiji7143Other, Germany7144Other, Germany7145Other, Ghana7146Traditional, Ghana7147Other, Guinea7148Animist7149Other, Guinea7150Other, Haiti7151Voodoo7152Other, India7153Jainism7154Zoroastrianism7155Other, India7156Other, Indonesia7157Confucianism7158Other, Indonesia7159Other, Iran7160Zoroastrian7161Other, Iran7162Other, Ivory Coast7163Animist7164Harrist7165Other, Jamaica7166Muslim/Hindu7167Other, Israel7168Druse7169Other, Israel7170Other, Laos7171Animist7172Other, Liberia7173Traditional7174Other, Malaysia7175Confucianism/Taoism7176Tribal/Folk religion, Malaysia7177Other, Mali7178Animist7179Other, Mexico7180Brahmanism7181Hare Krishna7182Shintoism7183Taoism7184Mexican Movements7185Ananda Marga7186Church of Scientology7187Masons7188Raelian Movement7189New Age Movement7190Neoisraelites7191Occultists7192Palmar of Troya7193Rose Cross7194Theosophism7195Spiritualist Special Keys7196Onkaranada Center7197Confucianism7198Shia7199Universal Great Brotherhood7200Esoteric Science7201Gnosticism7202Metaphysics7203Wicca7204Shamanism7205The Custom7206Mexicayotl7207Restorative Confederate Movement of Anahuac Culture7208African Origin7209Indigenous Religions7210Growing in Grace7211Eckankar7212Transcendental Meditation7213Mission Branch7214Children of God7215Sri Sathya Sai Baba7216Other religions from Asia7217Ethnic roots7218Afro roots7219Popular cults7220Other new religious movements7221Other, Nepal7222Kirat7223Jain7224Garaute7225Tap jura7226Bon7227Prakriti7228Other, Nigeria7229Traditional7230Other, Pakistan7231Ahmadi7232Parsi7233Scheduled caste7234Other, Paraguay7235Philosophical revelations7236Indigenous religion7237Reyukai7238Other, Paraguay7239Other, Philippines7240Door of Faith7241Faith Tabernacle Church (Living Rock Ministries)7242Iglesia Filipina Independiente7243International One Way Outreach7244Miracle Life Fellowship International7245Miracle Revival Church of the Philippines7246Philippine Good News Ministries7247Philippine Missionary fellowship7248Things to Come7249Way of Salvation7250Word of the World7251Word International Ministries7252Tribal Religions, Philippines7253Other, Romania7254Unitarian7255Armenian7256Mosaic7257Other, Romania7258Other, Rwanda7259Traditional religion, Rwanda7260Other, Rwanda7261Other, Sierra Leone7262Traditional religion, Sierra Leone7263Other, South Africa7264African traditional belief7265Taoist7266Confucian7267New Age7268Winti7269Javanism7270Other non-Christian, S. Africa7271Other, Suriname7272Javanism7273Traditional7274Winti7275Other, Thailand7276Confucian7277Other, Trinidad and Tobago7278Pocamania or Shango7279Orisha7280Other, Uganda7281Traditional religion7282Mammon7283Other non-Christian, Uganda7284Other, United Kindom7285Other, Uruguay7286Umbanda/other Afro-American7287Other, Uruguay7288Other, Vietnam7289Cao Dai7290Cham Brahmin7296Other, Togo7297Animist7900Other, not elsewhere classified9999UnknownEthnicity and Language Variables -- PERSONEthnicity, MalawiETHNICMW indicates the person's tribe within Malawi.01Chewa02Nyanja03Yao04Tumbuka05Lomwe06Ngonde07Ngoni08Sena09Tonga10Nyakyusa11Lambya12Senga13Sukwa14Mang'anja20Other, including non-Malawi98Unknown99NIU (not in universe)Ethnicity and Language Variables -- PERSONSpeaks EnglishSPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy.1Yes2No7Does not speak8Unknown9NIU (not in universe)Ethnicity and Language 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, MalawiEDUCMW indicates the person's educational attainment in Malawi in terms of the level of schooling completed.00NIU (not in universe)10None11Preschool20Primary education21Primary, standard 122Primary, standard 223Primary, standard 324Primary, standard 425Primary, standard 526Primary, standard 627Primary, standard 728Primary, standard 829Primary, unknown grade30Secondary education31Secondary, form 132Secondary, form 233Secondary, form 334Secondary, form 435Secondary, form 536Secondary, form 6+39Secondary, unknown grade40University41University, year 142University, year 243University, year 344University, year 445University, year 546University, year 647University, year 748University, year 8+49University, unknown year50Other tertiary51Other tertiary, year 152Other tertiary, year 253Other tertiary, year 354Other tertiary, year 4+59Other tertiary, unknown year99UnknownEducation 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)301Unavailable jobseekers302Available potential jobseekers310Housework320Health reasons, unable to work, or disabled321Permanent 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.
Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit]
Argentina 1980 - see Variable: AR1980A_OCC - Occupation
Argentina 1991 - see Variable: AR1991A_OCC - Occupation
Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits)
Armenia 2011 - see Variable: AM2011A_OCC - Occupation
Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups
Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups
Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups
Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups
Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits
Belarus 2009 - see Variable: BY2009A_OCC - Occupation
Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits)
Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits)
Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits)
Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit)
Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits
Bolivia 1992 - see Variable: BO1992A_OCC - Occupation
Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits
Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit)
Botswana 1981 - see Variable: BW1981A_OCC - Occupation
Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days)
Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit
Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits
Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation
Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation
Brazil 1980 - see Variable: BR1980A_OCC - Occupation
Brazil 1991 - see Variable: BR1991A_OCC - Occupation
Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits
Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010
Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation
Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation
Cambodia 1998 - see Variable: KH1998A_OCC - Occupation
Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits)
Cambodia 2008 - see Variable: KH2008A_OCC - Occupation
Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits)
Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit
Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits)
Cameroon 2005 - see Variable: CM2005A_OCC - Occupation
Canada 1971 - see Variable: CA1971A_OCC - Occupation
Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis)
Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis)
Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics)
Canada 2011 - see Variable: CA2011A_OCC - Occupation
Chile 1960 - see Variable: CL1960A_OCC - Occupation
Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit)
Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit)
Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit)
Chile 2002 - see Variable: CL2002A_OCC - Occupation
China 1982 - see Variable: CN1982A_OCC - Occupation
China 1990 - see Variable: CN1990A_OCC - Occupation
China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit)
Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits)
Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week
Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits
Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits
Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits
Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit
Cuba 2002 - see Variable: CU2002A_OCC - Occupation
Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit)
Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit)
Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation
Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits
Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation
Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation
Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation
Ecuador 1962 - see Variable: EC1962A_OCC - Occupation
Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits
Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits
Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits
Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits
Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08)
Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit)
Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit
El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit)
El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit)
Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit)
Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation
Fiji 1976 - see Variable: FJ1976A_OCC - Occupation
Fiji 1986 - see Variable: FJ1986A_OCC - Occupation
Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits)
Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits
Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits)
Finland 2010 - see Variable: FI2010A_OCC - Occupation
France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation
France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation
France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation
France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation
France 1990 - see Variable: FR1990A_SOCC - Saphir occupation
France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO
France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit)
France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories
Germany 1970 - see Variable: DE1970A_OCC - Occupation
Germany 1981 - see Variable: DE1981A_OCC - Occupation
Germany 1987 - see Variable: DE1987A_OCC - Occupation
Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits
Ghana 2000 - see Variable: GH2000A_OCC - Occupation
Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups)
Greece 1971 - see Variable: GR1971A_OCC - Occupation
Greece 1981 - see Variable: GR1981A_OCC - Occupation
Greece 1991 - see Variable: GR1991A_OCC - Occupation
Greece 2001 - see Variable: GR2001A_OCC - Occupation
Greece 2011 - see Variable: GR2011A_OCC - Occupation
Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits)
Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits)
Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits)
Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit)
Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits)
Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits
Guinea 1996 - see Variable: GN1996A_OCC - Occupation
Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit)
Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession
Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits
Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits)
Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits)
Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits)
Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit)
Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit)
Hungary 1970 - see Variable: HU1970A_OCC - Occupation
Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity
Hungary 1990 - see Variable: HU1990A_OCC - Occupation
Hungary 2001 - see Variable: HU2001A_OCC - Occupation
Hungary 2011 - see Variable: HU2011A_OCC - Occupation
Indonesia 1971 - see Variable: ID1971A_OCC - Occupation
Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week
Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version)
Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation
Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week
Indonesia 1995 - see Variable: ID1995A_OCC - Occupation
Indonesia 2005 - see Variable: ID2005A_OCC - Occupation
Iran 2006 - see Variable: IR2006A_OCC4 - Occupation
Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit)
Iraq 1997 - see Variable: IQ1997A_OCC - Occupation
Ireland 1971 - see Variable: IE1971A_OCC - Occupation
Ireland 1981 - see Variable: IE1981A_OCC - Occupation
Ireland 1986 - see Variable: IE1986A_OCC - Occupation group
Ireland 1991 - see Variable: IE1991A_OCC - Occupation group
Ireland 1996 - see Variable: IE1996A_OCC - Occupation
Ireland 2002 - see Variable: IE2002A_OCC - Occupation
Ireland 2006 - see Variable: IE2006A_OCC - Occupation group
Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled)
Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups)
Israel 1972 - see Variable: IL1972A_OCC - Occupation
Israel 1983 - see Variable: IL1983A_OCC - Occupation
Israel 1995 - see Variable: IL1995A_OCC - Occupation
Israel 2008 - see Variable: IL2008A_OCC - Occupation
Italy 2001 - see Variable: IT2001A_OCC - Occupation
Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work
Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job
Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job
Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit
Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit)
Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits
Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit)
Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity
Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit)
Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits)
Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits)
Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit)
Liberia 2008 - see Variable: LR2008A_OCC - Occupation
Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit
Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit
Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits)
Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit)
Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week
Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits)
Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits)
Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits
Mali 1987 - see Variable: ML1987A_OCC - Occupation last month
Mali 1998 - see Variable: ML1998A_OCC - Main occupation
Mali 2009 - see Variable: ML2009A_OCC - Principal occupation
Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit)
Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit)
Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit)
Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits
Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit
Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits
Mexico 1995 - see Variable: MX1995A_OCC - Occupation
Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits
Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade
Mexico 2015 - see Variable: MX2015A_OCC - Occupation
Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits)
Mongolia 2000 - see Variable: MN2000A_OCC - Occupation
Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008)
Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit)
Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit)
Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit
Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit)
Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit)
Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit
Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation
Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008)
Myanmar 2014 - see Variable: MM2014A_OCC - Occupation
Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation
Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit)
Netherlands 1960 - see Variable: NL1960A_OCC - Occupation
Netherlands 1971 - see Variable: NL1971A_OCC - Occupation
Netherlands 2001 - see Variable: NL2001A_OCC - Occupation
Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit)
Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation
Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits)
Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits)
Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation
Palestine 1997 - see Variable: PS1997A_OCC - Main occupation
Palestine 2007 - see Variable: PS2007A_OCC - Main occupation
Palestine 2017 - see Variable: PS2017A_OCC - Occupation
Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit)
Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit
Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit)
Panama 1990 - see Variable: PA1990A_OCC - Occupation
Panama 2000 - see Variable: PA2000A_OCC - Occupation
Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits
Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits
Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation
Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit)
Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit)
Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits)
Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits
Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits
Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits)
Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits)
Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits)
Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week)
Philippines 1990 - see Variable: PH1990A_OCC - Occupation
Philippines 2000 - see Variable: PH2000A_OCC - Occupation
Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit)
Poland 1978 - see Variable: PL1978A_OCC - Occupation
Poland 1988 - see Variable: PL1988A_OCC - Main occupation
Poland 2002 - see Variable: PL2002A_OCC - Occupation
Portugal 1981 - see Variable: PT1981A_OCC - Main occupation
Portugal 1991 - see Variable: PT1991A_OCC - Main occupation
Portugal 2001 - see Variable: PT2001A_OCC - Main occupation
Portugal 2011 - see Variable: PT2011A_OCC - Main occupation
Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation
Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation
Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation
Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation
Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation
Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation
Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week
Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis
Romania 1992 - see Variable: RO1992A_OCC - Occupation
Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits
Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded)
Rwanda 2002 - see Variable: RW2002A_OCC - Occupation
Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit)
Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation
Senegal 1988 - see Variable: SN1988A_OCC - Occupation
Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits
Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit)
Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation
Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months
Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit)
Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit)
Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit)
Slovenia 2002 - see Variable: SI2002A_OCC - Occupation
South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits
South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit
South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits
South Sudan 2008 - see Variable: SS2008A_OCC - Occupation
Spain 1981 - see Variable: ES1981A_OCC - Occupation
Spain 1991 - see Variable: ES1991A_OCC - Occupation
Spain 2001 - see Variable: ES2001A_OCC - Occupation
Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits
Sudan 2008 - see Variable: SD2008A_OCC - Occupation
Suriname 2004 - see Variable: SR2004A_OCC - Occupation
Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups)
Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO)
Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM)
Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM)
Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM)
Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08)
Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation
Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week
Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation
Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year
Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year
Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year
Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits
Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits)
Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits)
Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits)
Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit)
Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits)
Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits)
Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit)
Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits)
Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit
Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits
Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits
Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits)
United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation
United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation
United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification
United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor
United States 1960 - see Variable: US1960A_OCC - Occupation
United States 1970 - see Variable: US1970A_OCC - Occupation
United States 1980 - see Variable: US1980A_OCC - Occupation
United States 1990 - see Variable: US1990A_OCC - Occupation
United States 2000 - see Variable: US2000A_OCC - Occupation
United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment
United States 2010 - see Variable: US2010A_OCC - Occupation
United States 2015 - see Variable: US2015A_OCC - Occupation last week
United States 2020 - see Variable: US2020A_OCC - Occupation last week
Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit]
Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits)
Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week
Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits)
Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits)
Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits
Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits
Venezuela 2001 - see Variable: VE2001A_OCC - Occupation
Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits
Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit
Vietnam 2009 - see Variable: VN2009A_OCC - Occupation
Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit
Zambia 1990 - see Variable: ZM1990A_OCC - Occupation
Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits
Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits
Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits)
Work 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.
Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit]
Argentina 1980 - see Variable: AR1980A_IND - Industry
Argentina 1991 - see Variable: AR1991A_IND - Industry
Argentina 2001 - see Variable: AR2001A_IND - Industry
Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work
Armenia 2011 - see Variable: AM2011A_IND - Industry
Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch
Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch
Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch
Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch
Austria 2011 - see Variable: AT2011A_IND - Industry
Bangladesh 1991 - see Variable: BD1991A_IND - Industry
Bangladesh 2001 - see Variable: BD2001A_IND - Main work field
Bangladesh 2011 - see Variable: BD2011A_IND - Industry
Belarus 2009 - see Variable: BY2009A_ECONACT - Industry
Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit)
Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits)
Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits)
Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit)
Bolivia 1976 - see Variable: BO1976A_IND - Industry
Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits
Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits
Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit)
Botswana 1981 - see Variable: BW1981A_IND - Industry
Botswana 1991 - see Variable: BW1991A_IND - Industry
Botswana 2001 - see Variable: BW2001A_IND - Industry
Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits
Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry
Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry
Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry
Brazil 1991 - see Variable: BR1991A_IND - Industry
Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits
Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010
Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity
Cambodia 1998 - see Variable: KH1998A_IND - Industry
Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits)
Cambodia 2008 - see Variable: KH2008A_IND - Industry
Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits)
Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit)
Cameroon 2005 - see Variable: CM2005A_IND - Industry
Canada 1971 - see Variable: CA1971A_IND - Industry
Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification)
Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification)
Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification)
Canada 2011 - see Variable: CA2011A_IND - Industry
Chile 1960 - see Variable: CL1960A_IND - Industry
Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit)
Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit)
Chile 1992 - see Variable: CL1992A_IND - Industry
Chile 2002 - see Variable: CL2002A_IND - Industry
Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit)
China 1982 - see Variable: CN1982A_INDUSTRY - Industry
China 1990 - see Variable: CN1990A_IND - Industry
China 2000 - see Variable: CN2000A_IND - Industry (2-digit)
Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits
Colombia 1973 - see Variable: CO1973A_IND - Industry
Colombia 1993 - see Variable: CO1993A_IND - Industry
Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit)
Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits
Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits
Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits
Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits
Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit
Cuba 2002 - see Variable: CU2002A_IND - Industry
Cuba 2012 - see Variable: CU2012A_IND - Industry
Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit)
Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed)
Dominican Republic 1960 - see Variable: DO1960A_IND - Industry
Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits
Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit)
Dominican Republic 2002 - see Variable: DO2002A_IND - Industry
Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business
Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits
Ecuador 1982 - see Variable: EC1982A_IND3 - Industry
Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits
Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits
Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4)
Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit)
Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC)
Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit
El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit)
El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit)
Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry
Ethiopia 1994 - see Variable: ET1994A_IND - Industry
Fiji 1966 - see Variable: FJ1966A_IND - Industry
Fiji 1976 - see Variable: FJ1976A_IND - Industry
Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits
Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits)
Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits
Fiji 2014 - see Variable: FJ2014A_IND - Industry
Finland 2010 - see Variable: FI2010A_IND - Industry
France 1962 - see Variable: FR1962A_IND - Industry
France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories
France 1975 - see Variable: FR1975A_INDUN - Industry, UNO
France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature
France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories
France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC
France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode
France 2011 - see Variable: FR2011A_IND - Industry, 732 categories
Germany 1970 - see Variable: DE1970A_IND - Industry
Germany 1971 - see Variable: DE1971A_IND - Industry
Germany 1981 - see Variable: DE1981A_IND - Industry
Germany 1987 - see Variable: DE1987A_IND - Industry
Ghana 2000 - see Variable: GH2000A_IND - Industry
Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups)
Greece 1971 - see Variable: GR1971A_IND - Industry
Greece 1981 - see Variable: GR1981A_IND - Industry
Greece 1991 - see Variable: GR1991A_IND - Industry
Greece 2001 - see Variable: GR2001A_IND - Industry
Greece 2011 - see Variable: GR2011A_IND - Industry
Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits)
Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits)
Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits)
Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits)
Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit)
Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits
Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit)
Haiti 1982 - see Variable: HT1982A_IND - Branch of work
Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits
Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits)
Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits)
Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit)
Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit)
Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy
Hungary 2011 - see Variable: HU2011A_IND - Industry
Indonesia 1971 - see Variable: ID1971A_IND - Industry
Indonesia 1976 - see Variable: ID1976A_IND - Industry
Indonesia 1980 - see Variable: ID1980A_IND - Industry
Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation
Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week
Indonesia 1995 - see Variable: ID1995A_IND - Industry
Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation
Indonesia 2005 - see Variable: ID2005A_IND - Industry
Indonesia 2010 - see Variable: ID2010A_IND - Industry
Iran 2006 - see Variable: IR2006A_IND4 - Industry
Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit)
Iraq 1997 - see Variable: IQ1997A_IND - Industry
Ireland 1971 - see Variable: IE1971A_IND - Industry
Ireland 1981 - see Variable: IE1981A_IND - Industry class
Ireland 1986 - see Variable: IE1986A_IND - Industry class
Ireland 1991 - see Variable: IE1991A_IND - Industry class
Ireland 1996 - see Variable: IE1996A_IND - Industry class
Ireland 2002 - see Variable: IE2002A_IND - Industry class
Ireland 2006 - see Variable: IE2006A_IND - Industry class
Ireland 2011 - see Variable: IE2011A_IND - Industry
Ireland 2016 - see Variable: IE2016A_IND - Industry
Israel 1972 - see Variable: IL1972A_IND - Industry
Israel 1983 - see Variable: IL1983A_IND - Industry
Israel 1995 - see Variable: IL1995A_IND - Industry
Israel 2008 - see Variable: IL2008A_IND - Branch of economy
Italy 2001 - see Variable: IT2001A_IND - Industry
Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity
Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job
Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits
Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit
Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment
Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section
Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in
Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization
Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit)
Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit)
Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4)
Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits)
Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit)
Liberia 2008 - see Variable: LR2008A_IND - Industry
Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit
Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit
Malawi 2008 - see Variable: MW2008A_IND2 - Main industry
Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit)
Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week
Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits)
Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits)
Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits
Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month
Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity
Mali 2009 - see Variable: ML2009A_IND - Industry
Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit)
Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit)
Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit)
Mexico 1960 - see Variable: MX1960A_IND - Industry
Mexico 1970 - see Variable: MX1970A_IND - Industry
Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits
Mexico 1995 - see Variable: MX1995A_IND - Industry
Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits
Mexico 2010 - see Variable: MX2010A_IND - Industry
Mexico 2015 - see Variable: MX2015A_IND - Industry
Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits)
Mongolia 2000 - see Variable: MN2000A_IND - Industry
Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4)
Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit)
Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit)
Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits)
Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit)
Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit)
Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry
Mozambique 2007 - see Variable: MZ2007A_IND - Industry
Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2)
Myanmar 2014 - see Variable: MM2014A_IND - Industry
Nepal 2001 - see Variable: NP2001A_IND - Usual industry
Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit)
Netherlands 1960 - see Variable: NL1960A_IND - Industry
Netherlands 1971 - see Variable: NL1971A_IND - Industry
Netherlands 2001 - see Variable: NL2001A_IND - Industry
Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit)
Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits
Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits)
Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits))
Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit
Palestine 1997 - see Variable: PS1997A_IND - Industry
Palestine 2007 - see Variable: PS2007A_IND - Industry
Palestine 2017 - see Variable: PS2017A_IND - Industry
Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit)
Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit]
Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit
Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits
Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits
Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits
Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits
Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit)
Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits)
Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits)
Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits
Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits
Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits)
Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits)
Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits)
Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week)
Philippines 1990 - see Variable: PH1990A_IND - Industry
Philippines 1995 - see Variable: PH1995A_IND - Industry
Philippines 2000 - see Variable: PH2000A_IND - Industry
Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit)
Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support)
Poland 2002 - see Variable: PL2002A_IND - Industry (main employer)
Portugal 1981 - see Variable: PT1981A_IND - Industry
Portugal 1991 - see Variable: PT1991A_IND - Industry
Portugal 2001 - see Variable: PT2001A_IND - Industry
Portugal 2011 - see Variable: PT2011A_IND - Industry
Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis
Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis
Puerto Rico 1990 - see Variable: PR1990A_IND - Industry
Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis
Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis
Puerto Rico 2010 - see Variable: PR2010A_IND - Industry
Puerto Rico 2015 - see Variable: PR2015A_IND - Industry
Puerto Rico 2020 - see Variable: PR2020A_IND - Industry
Romania 1977 - see Variable: RO1977A_IND - Industry of supporter
Romania 1977 - see Variable: RO1977A_WKACT - Activity category
Romania 1992 - see Variable: RO1992A_IND - Industry
Romania 2002 - see Variable: RO2002A_IND - Industry
Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories)
Rwanda 2002 - see Variable: RW2002A_IND - Industry
Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit)
Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit
Senegal 1988 - see Variable: SN1988A_IND - Industry
Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit)
Sierra Leone 2004 - see Variable: SL2004A_IND - Industry
Slovenia 2002 - see Variable: SI2002A_IND - Industry
South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits
South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit
South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit
South Sudan 2008 - see Variable: SS2008A_IND - Industry
Spain 1981 - see Variable: ES1981A_IND - Industry
Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment
Spain 2001 - see Variable: ES2001A_IND - Industry
Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits
Sudan 2008 - see Variable: SD2008A_IND - Industry
Suriname 2004 - see Variable: SR2004A_IND - Industry
Suriname 2012 - see Variable: SR2012A_IND - Industry (groups)
Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry)
Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry)
Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry)
Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry)
Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit)
Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week
Tanzania 2012 - see Variable: TZ2012A_IND - Industry
Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year
Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year
Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits
Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits
Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit)
Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits)
Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit)
Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry
Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits)
Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit)
Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits)
Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit
Uganda 2002 - see Variable: UG2002A_IND - Industry
United Kingdom 1961 - see Variable: UK1961A_IND - Industry
United Kingdom 1971 - see Variable: UK1971A_IND - Industry
United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification
United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification
United States 1960 - see Variable: US1960A_IND - Industry
United States 1970 - see Variable: US1970A_IND - Industry
United States 1980 - see Variable: US1980A_IND - Industry
United States 1990 - see Variable: US1990A_IND - Industry
United States 2000 - see Variable: US2000A_IND - Industry
United States 2005 - see Variable: US2005A_IND - Industry
United States 2010 - see Variable: US2010A_IND - Industry
United States 2015 - see Variable: US2015A_IND - Industry
United States 2020 - see Variable: US2020A_IND - Industry
Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit]
Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week
Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits)
Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits)
Venezuela 1981 - see Variable: VE1981A_IND - Industry
Venezuela 1990 - see Variable: VE1990A_IND - Industry
Venezuela 2001 - see Variable: VE2001A_IND - Industry
Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits
Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit
Vietnam 2009 - see Variable: VN2009A_IND - Industry
Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit
Zambia 1990 - see Variable: ZM1990A_IND - Industry
Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits
Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits
Work Variables -- 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, government or public sector221Federal, 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 -- PERSONAvailable to workWRKAVAIL indicates whether a person is available to work (readiness) within a short period of time.1Yes2No8Unknown9NIU (Not in universe)Work Variables -- PERSONMigration status, previous residenceMIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries.00NIU (not in universe)10Same major administrative unit11Same major, same minor administrative unit12Same major, different minor administrative unit20Different major administrative unit30Abroad98Response suppressed99Not reported/missing/unknownMigration: Global Variables -- PERSONCountry of previous residenceMIGCTRYP indicates the country of previous residence of international migrants.
Persons who never lived abroad are coded to the "non-migrant" category.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/Pakistan32050Iran32060Kazakhstan32070Kyrgyzstan32080Maldives32090Nepal32100Pakistan32110Sri Lanka (Ceylon)32120Tajikistan32130Turkmenistan32140Uzbekistan33000South-Eastern Asia33010Brunei33020Cambodia (Kampuchea)33030East Timor33040Indonesia33050Laos33060Malaysia33061Malaysia and Singapore33070Myanmar (Burma)33080Philippines33090Singapore33100Thailand33110Vietnam34000Western Asia34010Armenia34020Azerbaijan34030Bahrain34040Cyprus34050Georgia34060Iraq34070Israel34080Jordan34090Kuwait34100Lebanon34110Palestine34120Oman34130Qatar34140Saudi Arabia34150Syria34151Syria/Lebanon34160Turkey34170United Arab Emirates34180Yemen34190Middle East, not specified34191Arabia34199Gulf countries39999Asia, n.s.40000Europe41000Eastern Europe41010Belarus41020Bulgaria41021Albania/Bulgaria/Romania41030Czech Republic41031Czechoslovakia/Yugoslavia41040Hungary41050Poland41060Moldova41070Romania41080Russia/USSR41090Slovakia41100Ukraine41999Eastern Europe, n.s.42000Northern Europe42010Denmark42020Estonia42030Faroe Islands42040Finland42050Iceland42060Ireland42070Latvia42080Lithuania42090Norway42110Sweden42120United Kingdom42199Scandinavia43000Southern Europe43010Albania43020Andorra43030Bosnia43040Croatia43050Gibraltar43060Greece43070Italy43071Vatican City43080Malta43090Portugal43100San Marino43110Slovenia43120Spain43130Macedonia43140Yugoslavia43141Montenegro43142Serbia43143Serbia and Montenegro43999Southern Europe, n.s.44000Western Europe44010Austria44020Belgium44021Belgium/Luxemburg44022Benelux (Belgium/Netherlands/Luxemburg)44030France44040Germany44050Liechtenstein44060Luxembourg44070Monaco44080Netherlands44090Switzerland49990Europe, n.s.49991Central and Eastern Europe49992European Union50000Oceania51000Australia 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.60000Other60010Europe, Australia, New Zealand60020Asia and Oceania, n.s.90000Non-migrants (International)99998Response suppressed99999UnknownMigration: Global Variables -- PERSON1st subnational geographic level of previous residence, world [consistent boundaries over time]GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence).
For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here.051901Yerevan [Province: Armenia]051902Aragatsotn [Province: Armenia]051903Ararat [Province: Armenia]051904Armavir [Province: Armenia]051905Gegharkunik [Province: Armenia]051906Lori [Province: Armenia]051907Kotayk [Province: Armenia]051908Shirak [Province: Armenia]051909Syunik [Province: Armenia]051910Vayots Dzor [Province: Armenia]051911Tavush [Province: Armenia]051912Nagorno-Karabagh [Province: Armenia]051997Foreign country [Province: Armenia]051998Unknown [Province: Armenia]051999NIU (not in universe) [Province: Armenia]112001Brest [Region: Belarus]112002Vitebsk [Region: Belarus]112003Gomel [Region: Belarus]112004Grodno [Region: Belarus]112006Minsk, Minsk City [Region: Belarus]112007Mogilev [Region: Belarus]112097Foreign country [Region: Belarus]112098Unknown [Region: Belarus]112099NIU (not in universe) [Region: Belarus]204001Alibori [Department: Benin]204002Atacora [Department: Benin]204003Atlantique [Department: Benin]204004Borgou [Department: Benin]204005Collines [Department: Benin]204006Couffo [Department: Benin]204007Donga [Department: Benin]204008Littoral [Department: Benin]204009Mono [Department: Benin]204010Oueme [Department: Benin]204011Plateau [Department: Benin]204012Zou [Department: Benin]204097Abroad [Department: Benin]204098Unknown [Department: Benin]204099NIU (not in universe) [Department: Benin]076011Rondônia [State: Brazil]076012Acre [State: Brazil]076013Amazonas [State: Brazil]076014Roraima [State: Brazil]076015Pará [State: Brazil]076016Amapá [State: Brazil]076021Maranhão [State: Brazil]076022Piauí [State: Brazil]076023Ceará [State: Brazil]076024Rio Grande do Norte [State: Brazil]076025Paraíba [State: Brazil]076026Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil]076027Alagoas [State: Brazil]076028Sergipe [State: Brazil]076029Bahia [State: Brazil]076031Minas Gerais [State: Brazil]076032Espírito Santo [State: Brazil]076033Rio de Janeiro, Guanabara [State: Brazil]076035São Paulo [State: Brazil]076036Serra dos Aimorés [State: Brazil]076041Paraná [State: Brazil]076042Santa Catarina [State: Brazil]076043Rio Grande do Sul [State: Brazil]076051Mato Grosso do Sul, Mato Grosso [State: Brazil]076052Goiás, Tocantins [State: Brazil]076053Distrito Federal [State: Brazil]076054Brazil, unspecified [State: Brazil]076097Abroad [State: Brazil]076098Unknown [State: Brazil]076099NIU (not in universe) [State: Brazil]116001Banteay Meanchey [Province: Cambodia]116002Battambang [Province: Cambodia]116003Kampong Cham, Tbong Khmum [Province: Cambodia]116004Kampong Chhnang [Province: Cambodia]116005Kampong Speu [Province: Cambodia]116006Kampong Thom [Province: Cambodia]116007Kampot [Province: Cambodia]116008Phnom Penh, Kandal [Province: Cambodia]116009Koh Kong, Preah Sihanouk [Province: Cambodia]116010Kratie [Province: Cambodia]116011Mondul Kiri [Province: Cambodia]116013Preah Vihear [Province: Cambodia]116014Prey Veng [Province: Cambodia]116015Pursat [Province: Cambodia]116016Ratanak Kiri [Province: Cambodia]116017Siem Reap, Otdar Meanchey [Province: Cambodia]116019Stung Treng [Province: Cambodia]116020Svay Rieng [Province: Cambodia]116021Takeo [Province: Cambodia]116023Kep [Province: Cambodia]116024Pailin [Province: Cambodia]116097Foreign country [Province: Cambodia]116098Unknown [Province: Cambodia]116099NIU (not in universe) [Province: Cambodia]120002Centre, Sud [Province: Cameroon]120003Est [Province: Cameroon]120004Nord, Adamoua, Extrème Nord [Province: Cameroon]120005Littoral [Province: Cameroon]120007Nord Ouest [Province: Cameroon]120008Ouest [Province: Cameroon]120010Sud Ouest [Province: Cameroon]120096Cameroon - unknown arrondissement [Province: Cameroon]120097Foreign country [Province: Cameroon]120098Unknown [Province: Cameroon]120099NIU (not in universe) [Province: Cameroon]152001Tarapaca [Province: Chile]152002Antofagasta [Province: Chile]152003Atacama [Province: Chile]152004Coquimbo [Province: Chile]152005Aconcagua [Province: Chile]152006Valparaíso [Province: Chile]152007Santiago [Province: Chile]152008O'Higgins [Province: Chile]152009Colchagua [Province: Chile]152010Curicó [Province: Chile]152011Talca [Province: Chile]152012Maule [Province: Chile]152013Linares [Province: Chile]152014Ñuble [Province: Chile]152015Concepción [Province: Chile]152016Arauco [Province: Chile]152017Bío Bío [Province: Chile]152018Malleco [Province: Chile]152019Cautín [Province: Chile]152020Valdivia [Province: Chile]152021Osorno [Province: Chile]152022Llanquihue [Province: Chile]152023Chiloé [Province: Chile]152024Aysén [Province: Chile]152025Magallanes [Province: Chile]152097Foreign country [Province: Chile]152098Unknown [Province: Chile]152099NIU (not in universe) [Province: Chile]170005Antioquia [Department: Colombia]170008Atlántico [Department: Colombia]170011Bogotá D.C., Cundinamarca [Department: Colombia]170013Bolívar, Sucre [Department: Colombia]170015Boyacá, Casanare [Department: Colombia]170018Caquetá [Department: Colombia]170019Cauca [Department: Colombia]170023Córdoba [Department: Colombia]170027Chocó [Department: Colombia]170041Huila [Department: Colombia]170044La Guajira [Department: Colombia]170050Meta [Department: Colombia]170052Nariño [Department: Colombia]170054Cesar, Norte De Santander, Magdalena [Department: Colombia]170066Caldas, Quindío, Risaralda [Department: Colombia]170068Santander [Department: Colombia]170073Tolima [Department: Colombia]170076Valle Del Cauca [Department: Colombia]170081Arauca [Department: Colombia]170086Putumayo [Department: Colombia]170088Archipiélago De San Andrés Y Providencia [Department: Colombia]170095Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia]170097Abroad [Department: Colombia]170098Unknown [Department: Colombia]188001San José [Province: Costa Rica]188002Alajuela [Province: Costa Rica]188003Cartago [Province: Costa Rica]188004Heredia [Province: Costa Rica]188005Guanacaste [Province: Costa Rica]188006Puntarenas [Province: Costa Rica]188007Limón [Province: Costa Rica]188097Foreign country [Province: Costa Rica]188098Unknown [Province: Costa Rica]192021Pinar del Río, Artemisa, Mayabeque [Province: Cuba]192023La Habana [Province: Cuba]192025Matanzas [Province: Cuba]192026Villa Clara [Province: Cuba]192027Cienfuegos [Province: Cuba]192028Sancti Spíritus [Province: Cuba]192029Ciego de Ávila [Province: Cuba]192030Camagüey [Province: Cuba]192031Las Tunas [Province: Cuba]192032Holguín [Province: Cuba]192033Granma [Province: Cuba]192034Santiago de Cuba [Province: Cuba]192035Guantánamo [Province: Cuba]192040Isla de la Juventud [Province: Cuba]192997Abroad [Province: Cuba]192998Unknown [Province: Cuba]192999NIU (not in universe) [Province: Cuba]218001Azuay [Province: Ecuador]218002Bolívar [Province: Ecuador]218004Carchi [Province: Ecuador]218005Cotopaxi [Province: Ecuador]218006Chimborazo [Province: Ecuador]218007El Oro [Province: Ecuador]218009Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador]218010Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador]218011Loja [Province: Ecuador]218014Morona Santiago [Province: Ecuador]218016Pastaza [Province: Ecuador]218018Tungurahua [Province: Ecuador]218019Zamora Chinchipe [Province: Ecuador]218021Napo, Orellana, Sucumbíos [Province: Ecuador]218097Foreign country [Province: Ecuador]218098Unknown and Disputed Zones [Province: Ecuador]218999NIU (not in universe) [Province: Ecuador]818000Reported same governorate as household location [Governorate: Egypt]818001Giza, 6th October City, Cairo, Helwan [Governorate: Egypt]818002Alexandria [Governorate: Egypt]818003Port Said [Governorate: Egypt]818004Suez [Governorate: Egypt]818011Demietta [Governorate: Egypt]818012Dakahlia [Governorate: Egypt]818013Sharkia [Governorate: Egypt]818014Kaliobia [Governorate: Egypt]818015Kafr Sheikh [Governorate: Egypt]818016Gharbia [Governorate: Egypt]818018Menoufia, Behera [Governorate: Egypt]818019Ismailia [Governorate: Egypt]818022Bani Swif [Governorate: Egypt]818023Fayoum [Governorate: Egypt]818024Menia [Governorate: Egypt]818025Asiut [Governorate: Egypt]818026Sohag [Governorate: Egypt]818027Qena, Luxor [Governorate: Egypt]818028Aswan [Governorate: Egypt]818031Red Sea [Governorate: Egypt]818032New Valley [Governorate: Egypt]818033Marsa Matroh [Governorate: Egypt]818034North Sinai [Governorate: Egypt]818035South Sinai [Governorate: Egypt]818097Abroad [Governorate: Egypt]818098Unknown [Governorate: Egypt]818099NIU (not in universe) [Governorate: Egypt]222001Ahuachapán [Department: El Salvador]222002Santa Ana [Department: El Salvador]222003Sonsonate [Department: El Salvador]222004Chalatenango [Department: El Salvador]222005La Libertad [Department: El Salvador]222006San Salvador [Department: El Salvador]222007Cuscatlán [Department: El Salvador]222008La Paz [Department: El Salvador]222009Cabañas [Department: El Salvador]222010San Vicente [Department: El Salvador]222011Usulután [Department: El Salvador]222012San Miguel [Department: El Salvador]222013Morazán [Department: El Salvador]222014La Unión [Department: El Salvador]222098Abroad [Department: El Salvador]222099NIU (not in universe) [Department: El Salvador]231001Tigray [Region: Ethiopia]231002Affar [Region: Ethiopia]231003Amhara [Region: Ethiopia]231004Oromia, Somali [Region: Ethiopia]231006Benishangul-Gumuz [Region: Ethiopia]231007Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia]231012Gambela [Region: Ethiopia]231013Harari [Region: Ethiopia]231014Addis Ababa [Region: Ethiopia]231015Dire Dawa [Region: Ethiopia]231097Abroad [Region: Ethiopia]231099NIU [Region: Ethiopia]250001Guadeloupe [Region: France]250002Martinique [Region: France]250003French Guyana [Region: France]250004Réunion Island [Region: France]250011Île-de-France [Region: France]250021Champagne-Ardenne [Region: France]250022Picardy [Region: France]250023Upper Normandy [Region: France]250024Centre [Region: France]250025Lower Normandy [Region: France]250026Burgundy [Region: France]250031North Pas-de-Calais [Region: France]250041Lorraine [Region: France]250042Alsace [Region: France]250043Franche-Comté [Region: France]250052Loire Valley [Region: France]250053Brittany [Region: France]250054Poitou-Charentes [Region: France]250072Aquitaine [Region: France]250073Midi-Pyrénées [Region: France]250074Limousin [Region: France]250082Rhône-Alpes [Region: France]250083Auvergne [Region: France]250091Languedoc-Roussillon [Region: France]250093Provence-Alpes-Riviera [Region: France]250094Corsica [Region: France]250097Abroad [Region: France]320001Guatemala [Department: Guatemala]320002El Progreso [Department: Guatemala]320003Sacatepéquez [Department: Guatemala]320004Chimaltenango [Department: Guatemala]320005Escuintla [Department: Guatemala]320006Santa Rosa [Department: Guatemala]320007Sololá [Department: Guatemala]320008Totonicapán [Department: Guatemala]320009Quetzaltenango [Department: Guatemala]320010Suchitepéquez [Department: Guatemala]320011Retalhuleu [Department: Guatemala]320012San Marcos [Department: Guatemala]320013Huehuetenango [Department: Guatemala]320014Quiché [Department: Guatemala]320015Baja Verapaz [Department: Guatemala]320016Alta Verapaz [Department: Guatemala]320017Petén [Department: Guatemala]320018Izabal [Department: Guatemala]320019Zacapa [Department: Guatemala]320020Chiquimula [Department: Guatemala]320021Jalapa [Department: Guatemala]320022Jutiapa [Department: Guatemala]320097Foreign Country [Department: Guatemala]320098Unknown [Department: Guatemala]320099NIU [Department: Guatemala]324011Boffa [Region: Guinea]324012Boké [Region: Guinea]324013Fria [Region: Guinea]324014Gaoual [Region: Guinea]324015Koundara [Region: Guinea]324021Conakry [Region: Guinea]324031Dabola [Region: Guinea]324032Dinguiraye [Region: Guinea]324033Faranah [Region: Guinea]324034Kissidougou [Region: Guinea]324041Kankan [Region: Guinea]324042Kérouané [Region: Guinea]324043Kouroussa [Region: Guinea]324044Mandiana [Region: Guinea]324045Siguiri [Region: Guinea]324051Coyah, Dubréka [Region: Guinea]324053Forécariah [Region: Guinea]324054Kindia [Region: Guinea]324055Télimélé [Region: Guinea]324061Koubia [Region: Guinea]324062Labé [Region: Guinea]324063Lélouma [Region: Guinea]324064Mali [Region: Guinea]324065Tougué [Region: Guinea]324071Dalaba [Region: Guinea]324072Mamou [Region: Guinea]324073Pita [Region: Guinea]324081Beyla [Region: Guinea]324082Guéckédou [Region: Guinea]324083Lola [Region: Guinea]324084Macenta [Region: Guinea]324085Nzerekore [Region: Guinea]324086Yomou [Region: Guinea]324096Guinea, place unknown [Region: Guinea]324097Foreign country [Region: Guinea]324098Unknown [Region: Guinea]324099NIU (not in universe) [Region: Guinea]332003Nord (North) and Nord'est (North East) [Department: Haiti]332006Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]332007Grand'Anse, Nippes, Sud (South) [Department: Haiti]332009Nord'Ouest (North West) [Department: Haiti]332097Foreign Country [Department: Haiti]332098Unknown [Department: Haiti]356001Jammu and Kashmir [State: India]356002Himachal Pradesh [State: India]356003Punjab [State: India]356004Chandigarh [State: India]356006Haryana [State: India]356007Delhi [State: India]356008Rajasthan [State: India]356009Uttar Pradesh, Uttaranchal [State: India]356010Bihar, Jharkhand [State: India]356011Sikkim [State: India]356012Arunachal Pradesh [State: India]356013Nagaland [State: India]356014Manipur [State: India]356015Mizoram [State: India]356016Tripura [State: India]356017Meghalaya [State: India]356018Assam [State: India]356019West Bengal [State: India]356021Orissa [State: India]356023Madhya Pradesh, Chhattisgarh [State: India]356024Gujarat [State: India]356026Dadra and Nagar Haveli [State: India]356027Maharashtra [State: India]356028Andhra Pradesh [State: India]356029Karnataka [State: India]356030Goa, Daman and Diu [State: India]356031Lakshadweep [State: India]356032Kerala [State: India]356033Tamil Nadu [State: India]356034Pondicherry [State: India]356035Andaman and Nicobar Islands [State: India]356097Abroad [State: India]356098Unknown [State: India]356099NIU (not in universe) [State: India]360011Nanggroe Aceh Darussalam [Province: Indonesia]360012Sumatera Utara [Province: Indonesia]360013Sumatera Barat [Province: Indonesia]360014Kepulauan Riau, Riau [Province: Indonesia]360015Jambi [Province: Indonesia]360016Bangka Belitung, Sumatera Selatan [Province: Indonesia]360017Bengkulu [Province: Indonesia]360018Lampung [Province: Indonesia]360031DKI Jakarta [Province: Indonesia]360032Banten, Jawa Barat [Province: Indonesia]360033Jawa Tengah [Province: Indonesia]360034DKI Yogyakarta [Province: Indonesia]360035Jawa Timur [Province: Indonesia]360051Bali [Province: Indonesia]360052Nusa Tenggara Barat [Province: Indonesia]360053Nusa Tenggara Timur [Province: Indonesia]360061Kalimantan Barat [Province: Indonesia]360062Kalimantan Tengah [Province: Indonesia]360063Kalimantan Selatan [Province: Indonesia]360064Kalimantan Timur [Province: Indonesia]360071Gorontalo, Sulawesi Utara [Province: Indonesia]360072Sulawesi Tengah [Province: Indonesia]360073Sulawesi Barat, Sulawesi Selatan [Province: Indonesia]360074Sulawesi Tenggara [Province: Indonesia]360081Maluku, Maluku Utara [Province: Indonesia]360094Papua, Papua Barat [Province: Indonesia]360097Abroad [Province: Indonesia]360098Unknown [Province: Indonesia]360099NIU (not in universe) [Province: Indonesia]360626East Timor [Province: Indonesia]364000Markazi [Province: Iran]364001Gilan [Province: Iran]364002Mazandaran [Province: Iran]364003East Azarbayejan [Province: Iran]364004West Azarbayejan [Province: Iran]364005Kermanshah [Province: Iran]364006Khuzestan [Province: Iran]364007Fars [Province: Iran]364008Kerman [Province: Iran]364009Razavi Khorasan [Province: Iran]364010Esfahan [Province: Iran]364011Sistan and Baluchestan [Province: Iran]364012Kordestan [Province: Iran]364013Hamedan [Province: Iran]364014Chaharmahal and Bakhtiyari [Province: Iran]364015Lorestan [Province: Iran]364016Ilam [Province: Iran]364017Kohgiluyeh and Boyerahmad [Province: Iran]364018Bushehr [Province: Iran]364019Zanjan [Province: Iran]364020Semnan [Province: Iran]364021Yazd [Province: Iran]364022Hormozgan [Province: Iran]364023Tehran, Alborz [Province: Iran]364024Ardebil [Province: Iran]364025Qom [Province: Iran]364026Qazvin [Province: Iran]364027Golestan [Province: Iran]364028North Khorasan [Province: Iran]364029South Khorasan [Province: Iran]364098Unknown [Province: Iran]364099NIU (not in universe) [Province: Iran]368000Always lived in residential place of birth [Governorate: Iraq]368001In this governorate [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]388001Kingston [Parish: Jamaica]388002Saint Andrew [Parish: Jamaica]388003Saint Thomas [Parish: Jamaica]388004Portland [Parish: Jamaica]388005Saint Mary [Parish: Jamaica]388006Saint Ann [Parish: Jamaica]388007Trelawny [Parish: Jamaica]388008Saint James [Parish: Jamaica]388009Hanover [Parish: Jamaica]388010Westmoreland [Parish: Jamaica]388011Saint Elizabeth [Parish: Jamaica]388012Manchester [Parish: Jamaica]388013Clarendon [Parish: Jamaica]388014Saint Catherine [Parish: Jamaica]388098Unknown [Parish: Jamaica]388099NIU (Not in universe) [Parish: Jamaica]400011Amman [Governorate: Jordan]400012Balqa [Governorate: Jordan]400013Zarqa [Governorate: Jordan]400014Madaba [Governorate: Jordan]400021Irbid [Governorate: Jordan]400022Mafraq [Governorate: Jordan]400023Jarash [Governorate: Jordan]400024Ajlun [Governorate: Jordan]400031Karak [Governorate: Jordan]400032Tafilah [Governorate: Jordan]400033Ma'an [Governorate: Jordan]400034Aqaba [Governorate: Jordan]400997Foreign Country [Governorate: Jordan]400998Unknown [Governorate: Jordan]404001Nairobi [Province: Kenya]404002Central [Province: Kenya]404003Coast [Province: Kenya]404004Eastern [Province: Kenya]404005Northeastern [Province: Kenya]404006Nyanza [Province: Kenya]404007Rift Valley [Province: Kenya]404008Western [Province: Kenya]404097Abroad [Province: Kenya]404098Unknown [Province: Kenya]404099NIU (not in universe) [Province: Kenya]417001Bishkek [Region: Kyrgyz Republic]417002Issyk-Kul region [Region: Kyrgyz Republic]417003Dzhalal-Abad region [Region: Kyrgyz Republic]417004Naryn region [Region: Kyrgyz Republic]417005Batken region [Region: Kyrgyz Republic]417006Oshskaya region, City of Osh [Region: Kyrgyz Republic]417007Talasskaya region [Region: Kyrgyz Republic]417008Chuya region [Region: Kyrgyz Republic]417096Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic]417097Foreign country [Region: Kyrgyz Republic]417098Unknown [Region: Kyrgyz Republic]417099NIU (not in universe) [Region: Kyrgyz Republic]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]662003Castries city, Castries rural, Castries suburban [District: Saint Lucia]662009Choiseul, Laborie, Vieux-Fort [District: Saint Lucia]662010Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia]662012Dennery, Gros-Islet [District: Saint Lucia]662098Unknown [District: Saint Lucia]662099NIU [District: Saint Lucia]454101Chitipa [District: Malawi]454102Karonga [District: Malawi]454103Nkhata Bay, Likoma [District: Malawi]454104Rumphi [District: Malawi]454105Mzimba, Mzuzu City [District: Malawi]454201Kasungu [District: Malawi]454202Nkhotakota [District: Malawi]454203Ntchisi [District: Malawi]454204Dowa [District: Malawi]454205Salima [District: Malawi]454206Lilongwe, Lilongwe City [District: Malawi]454207Mchinji [District: Malawi]454208Dedza [District: Malawi]454209Ntcheu [District: Malawi]454301Mangochi [District: Malawi]454302Machinga [District: Malawi]454303Zomba, Zomba City [District: Malawi]454304Chiradzulu [District: Malawi]454305Blantyre, Blantyre City [District: Malawi]454306Mwanza, Neno [District: Malawi]454307Thyolo [District: Malawi]454308Mulanje [District: Malawi]454309Phalombe [District: Malawi]454310Chikwawa [District: Malawi]454311Nsanje [District: Malawi]454312Balaka [District: Malawi]454997Abroad [District: Malawi]454999NIU (not in universe) [District: Malawi]466001Kayes [Region: Mali]466002Koulikoro [Region: Mali]466003Sikasso [Region: Mali]466004Ségou [Region: Mali]466005Mopti [Region: Mali]466006Tombouctou [Region: Mali]466007Gao, Kidal [Region: Mali]466009Bamako [Region: Mali]466096Mali, province unspecified [Region: Mali]466097Foreign country [Region: Mali]466098Unknown [Region: Mali]466999NIU (not in universe) [Region: Mali]484001Aguascalientes [State: Mexico]484002Baja California [State: Mexico]484003Baja California Sur [State: Mexico]484004Campeche [State: Mexico]484005Coahuila de Zaragoza [State: Mexico]484006Colima [State: Mexico]484007Chiapas [State: Mexico]484008Chihuahua [State: Mexico]484009Distrito Federal [State: Mexico]484010Durango [State: Mexico]484011Guanajuato [State: Mexico]484012Guerrero [State: Mexico]484013Hidalgo [State: Mexico]484014Jalisco [State: Mexico]484015México [State: Mexico]484016Michoacán de Ocampo [State: Mexico]484017Morelos [State: Mexico]484018Nayarit [State: Mexico]484019Nuevo León [State: Mexico]484020Oaxaca [State: Mexico]484021Puebla [State: Mexico]484022Querétaro [State: Mexico]484023Quintana Roo [State: Mexico]484024San Luis Potosí [State: Mexico]484025Sinaloa [State: Mexico]484026Sonora [State: Mexico]484027Tabasco [State: Mexico]484028Tamaulipas [State: Mexico]484029Tlaxcala [State: Mexico]484030Veracruz de Ignacio de la Llave [State: Mexico]484031Yucatán [State: Mexico]484032Zacatecas [State: Mexico]484097Abroad [State: Mexico]484098Unknown [State: Mexico]484099NIU (not in universe) [State: Mexico]496011Ulaanbaatar [Province: Mongolia]496021Dornod [Province: Mongolia]496022Sukhbaatar [Province: Mongolia]496023Khentii [Province: Mongolia]496041Tuv [Province: Mongolia]496043Selenge [Province: Mongolia]496044Dornogobi [Province: Mongolia]496045Darkhan-Uul [Province: Mongolia]496046Umnugobi [Province: Mongolia]496048Dundgobi, Gobisumber [Province: Mongolia]496061Orkhon [Province: Mongolia]496062Uvurkhangai [Province: Mongolia]496063Bulgan [Province: Mongolia]496064Bayankhongor [Province: Mongolia]496065Arkhangai [Province: Mongolia]496067Khuvsgul [Province: Mongolia]496081Zavkhan [Province: Mongolia]496082Gobi-Altai [Province: Mongolia]496083Bayan-Ulgii [Province: Mongolia]496084Khovd [Province: Mongolia]496085Uvs [Province: Mongolia]496097Abroad [Province: Mongolia]496099NIU (not in universe) [Province: Mongolia]104001Kachin [State: Myanmar]104002Kayah [State: Myanmar]104003Kayin [State: Myanmar]104004Chin [State: Myanmar]104005Sagaing [State: Myanmar]104006Tanintharyi [State: Myanmar]104007Bago [State: Myanmar]104008Magway [State: Myanmar]104009Mandalay [State: Myanmar]104010Mon [State: Myanmar]104011Rakhine [State: Myanmar]104012Yangon [State: Myanmar]104013Shan [State: Myanmar]104014Ayeyawady [State: Myanmar]104015Nay Pyi Taw [State: Myanmar]104097Abroad [State: Myanmar]104099NIU [State: Myanmar]591002Coclé [Province: Panama]591003Colón, Comarca Kuna Yala (San Blas) [Province: Panama]591004Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama]591005Comarca Emberá, Darién [Province: Panama]591006Herrera [Province: Panama]591007Los Santos [Province: Panama]591008Panamá [Province: Panama]591009Unknown district in Panamá province [Province: Panama]591097Foreign country [Province: Panama]591098Unknown [Province: Panama]591099NIU (not in universe) [Province: Panama]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]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]642001Alba [County: Romania]642002Arad [County: Romania]642003Arges [County: Romania]642004Bacau [County: Romania]642005Bihor [County: Romania]642006Bistrita Nasaud [County: Romania]642007Botosani [County: Romania]642008Brasov [County: Romania]642009Braila [County: Romania]642010Buzau [County: Romania]642011Caras Severin [County: Romania]642012Cluj [County: Romania]642013Constanta [County: Romania]642014Covasna [County: Romania]642015Dambovita [County: Romania]642016Dolj [County: Romania]642017Galati [County: Romania]642018Gorj [County: Romania]642019Harghita [County: Romania]642020Hunedoara [County: Romania]642022Iasi [County: Romania]642024Maramures [County: Romania]642025Mehedinti [County: Romania]642026Mures [County: Romania]642027Neamt [County: Romania]642028Olt [County: Romania]642029Prahova [County: Romania]642030Satu Mare [County: Romania]642031Salaj [County: Romania]642032Sibiu [County: Romania]642033Suceava [County: Romania]642034Teleorman [County: Romania]642035Timis [County: Romania]642036Tulcea [County: Romania]642037Vaslui [County: Romania]642038Valcea [County: Romania]642039Vrancea [County: Romania]642043Bucharest Sector 1 to 6 [County: Romania]642051Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]642097Foreign country [County: Romania]642098Unknown [County: Romania]642099NIU (not in universe) [County: Romania]646002Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda]646003Gitarama [Province: Rwanda]646004Butare [Province: Rwanda]646005Gikongoro [Province: Rwanda]646006Cyangugu [Province: Rwanda]646007Kibuye [Province: Rwanda]646008Gisenyi [Province: Rwanda]646009Ruhengeri [Province: Rwanda]646097Foreign Countries [Province: Rwanda]646098Unknown [Province: Rwanda]646099NIU [Province: Rwanda]705001Pomurska [Region: Slovenia]705002Podravska [Region: Slovenia]705003Koroška [Region: Slovenia]705004Savinjska [Region: Slovenia]705005Zasavska [Region: Slovenia]705006Spodnjeposavska [Region: Slovenia]705007Jugovzhodna Slovenija [Region: Slovenia]705008Osrednjeslovenska [Region: Slovenia]705009Gorenjska [Region: Slovenia]705010Notranjsko-kraška [Region: Slovenia]705011Goriška [Region: Slovenia]705012Obalno-kraška [Region: Slovenia]705097Abroad [Region: Slovenia]705999NIU (not in universe) [Region: Slovenia]710001Western Cape [Province: South Africa]710004Free State [Province: South Africa]710005Eastern Cape, KwaZulu-Natal [Province: South Africa]710007Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]710097Foreign country [Province: South Africa]710098Unknown [Province: South Africa]710099NIU (not in universe) [Province: South Africa]724011Galicia [Communities & autonomous city: Spain]724012Principado de Asturias [Communities & autonomous city: Spain]724013Cantabria [Communities & autonomous city: Spain]724021País 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]724061Andalucía [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]724097Abroad [Communities & autonomous city: Spain]724999NIU (not in universe) [Communities & autonomous city: Spain]740001Paramaribo [District: Suriname]740002Wanica [District: Suriname]740003Nickerie [District: Suriname]740005Saramacca, Coronie [District: Suriname]740006Marowijne, Commewijne [District: Suriname]740008Brokopondo, Para [District: Suriname]740010Sipaliwini [District: Suriname]740096Suriname, district unknown [District: Suriname]740097Foreign [District: Suriname]740098Unknown [District: Suriname]764010Bangkok [Province: Thailand]764011Samut Prakan [Province: Thailand]764012Nonthaburi [Province: Thailand]764013Pathum Thani [Province: Thailand]764014Phra Nakhon Si Ayutthaya [Province: Thailand]764015Ang Thong [Province: Thailand]764016Lop Buri [Province: Thailand]764017Sing Buri [Province: Thailand]764018Chai Nat [Province: Thailand]764019Sa Kaeo, Prachin Buri [Province: Thailand]764020Chon Buri [Province: Thailand]764021Rayong [Province: Thailand]764022Chanthaburi [Province: Thailand]764023Trat [Province: Thailand]764024Chachoengsao [Province: Thailand]764026Nakhon Nayok [Province: Thailand]764027Saraburi [Province: Thailand]764030Nakhon Ratchasima [Province: Thailand]764031Buri Ram [Province: Thailand]764032Surin [Province: Thailand]764033Si Sa Ket [Province: Thailand]764034Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand]764036Chaiyaphum [Province: Thailand]764039Nong Bua Lam Phu, Udon Thani [Province: Thailand]764040Khon Kaen [Province: Thailand]764042Loei [Province: Thailand]764043Nong Khai [Province: Thailand]764044Maha Sarakham [Province: Thailand]764045Roi Et [Province: Thailand]764046Kalasin [Province: Thailand]764047Sakon Nakhon [Province: Thailand]764048Nakhon Phanom, Mukdahan [Province: Thailand]764050Chiang Mai [Province: Thailand]764051Lamphun [Province: Thailand]764052Lampang [Province: Thailand]764053Uttaradit [Province: Thailand]764054Phrae [Province: Thailand]764055Nan [Province: Thailand]764057Phayao, Chiang Rai [Province: Thailand]764058Mae Hong Son [Province: Thailand]764060Nakhon Sawan [Province: Thailand]764061Uthai Thani [Province: Thailand]764062Kamphaeng Phet [Province: Thailand]764063Tak [Province: Thailand]764064Sukhothai [Province: Thailand]764065Phitsanulok [Province: Thailand]764066Phichit [Province: Thailand]764067Phetchabun [Province: Thailand]764070Ratchaburi [Province: Thailand]764071Kanchanaburi [Province: Thailand]764072Suphanburi [Province: Thailand]764073Nakhon Pathom [Province: Thailand]764074Samut Sakhon [Province: Thailand]764075Samut Songkhram [Province: Thailand]764076Phetchaburi [Province: Thailand]764077Prachuap Khiri Khan [Province: Thailand]764080Nakhon Si Thammarat [Province: Thailand]764082Phangnga [Province: Thailand]764083Phuket [Province: Thailand]764084Krabi, Surat Thani [Province: Thailand]764086Ranong, Chumphon [Province: Thailand]764090Songkhla [Province: Thailand]764091Satun [Province: Thailand]764092Trang [Province: Thailand]764093Phatthalung [Province: Thailand]764094Pattani [Province: Thailand]764095Yala [Province: Thailand]764096Narathiwat [Province: Thailand]764097Same province [Province: Thailand]764098Unknown province, but within Thaliand [Province: Thailand]764997Abroad [Province: Thailand]764998Unknown [Province: Thailand]764999NIU (not in universe) [Province: Thailand]768001Maritime, Lomé [Region: Togo]768002Plateaux, Centrale, Kara [Region: Togo]768003Savanes [Region: Togo]768097Foreign Country [Region: Togo]768098Unknown [Region: Togo]768099NIU [Region: Togo]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]800101Kalangala [District: Uganda]800102Kampala [District: Uganda]800103Kiboga, Kyankwanzi [District: Uganda]800104Luwero, Nakasongola, Nakaseke [District: Uganda]800105Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda]800106Mpigi, Wakiso, Butambala, Gomba [District: Uganda]800107Mubende, Mityana [District: Uganda]800108Mukono, Kayunga, Buikwe, Buvuma [District: Uganda]800110Rakai, Lyantonde [District: Uganda]800201Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda]800202Busia, Tororo, Butaleja [District: Uganda]800204Jinja [District: Uganda]800205Kamuli, Kaliro, Buyende [District: Uganda]800206Kapchorwa, Bukwo, Kween [District: Uganda]800207Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda]800208Kumi, Bukedea, Ngora [District: Uganda]800209Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda]800210Pallisa, Budaka, Kibuku [District: Uganda]800301Adjumani, Moyo [District: Uganda]800302Apac, Oyam, Kole [District: Uganda]800303Arua, Yumbe, Koboko, Maracha [District: Uganda]800304Gulu, Amuru, Nwoya, Omoro [District: Uganda]800305Kitgum, Pader, Agago, Lamwo [District: Uganda]800306Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda]800307Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda]800310Nebbi, Zombo [District: Uganda]800401Bundibugyo, Ntoroko [District: Uganda]800402Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda]800403Hoima [District: Uganda]800404Kabale, Rubanda [District: Uganda]800405Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda]800406Kasese [District: Uganda]800407Kibaale, Kagadi, Kakumiro [District: Uganda]800408Kisoro [District: Uganda]800409Masindi, Buliisa, Kiryandongo [District: Uganda]800412Rukungiri, Kanungu [District: Uganda]800096Visitor [District: Uganda]800097Foreign country [District: Uganda]800098Unknown [District: Uganda]804001The Autonomous Republic of Crimea [Region: Ukraine]804005Vinnytska oblast [Region: Ukraine]804007Volynska oblast [Region: Ukraine]804012Dnipropetrovska oblast [Region: Ukraine]804014Donetska oblast [Region: Ukraine]804018Zhytomyrska oblast [Region: Ukraine]804021Zakarpatska oblast [Region: Ukraine]804023Zaporizka oblast [Region: Ukraine]804026Ivano-Frankivska oblast [Region: Ukraine]804032Kyivska oblast [Region: Ukraine]804035Kirovohradska oblast [Region: Ukraine]804044Luhanska oblast [Region: Ukraine]804046Lvivska oblast [Region: Ukraine]804048Mykolaivska oblast [Region: Ukraine]804051Odeska oblast [Region: Ukraine]804053Poltavska oblast [Region: Ukraine]804056Rivnenska oblast [Region: Ukraine]804059Sumska oblast [Region: Ukraine]804061Ternopilska oblast [Region: Ukraine]804063Kharkivska oblast [Region: Ukraine]804065Khersonska oblast [Region: Ukraine]804068Khmelnytska oblast [Region: Ukraine]804071Cherkaska oblast [Region: Ukraine]804073Chernivetska oblast [Region: Ukraine]804074Chernihivska oblast [Region: Ukraine]804080Kyiv (independent city) [Region: Ukraine]804085Sevastopol (independent city) [Region: Ukraine]804097Foreign country [Region: Ukraine]804098Unknown [Region: Ukraine]804099NIU (not in universe) [Region: Ukraine]858001Montevideo [Department: Uruguay]858002Artigas [Department: Uruguay]858003Canelones [Department: Uruguay]858004Cerro Largo [Department: Uruguay]858005Colonia [Department: Uruguay]858006Durazno [Department: Uruguay]858007Flores [Department: Uruguay]858008Florida [Department: Uruguay]858009Lavalleja [Department: Uruguay]858010Maldonado [Department: Uruguay]858011Paysandú [Department: Uruguay]858012Río Negro [Department: Uruguay]858013Rivera [Department: Uruguay]858014Rocha [Department: Uruguay]858015Salto [Department: Uruguay]858016San Jose [Department: Uruguay]858017Soriano [Department: Uruguay]858018Tacuarembó [Department: Uruguay]858019Treinta Y Tres [Department: Uruguay]858097Abroad [Department: Uruguay]858098Unknown [Department: Uruguay]858999NIU (not in universe) [Department: Uruguay]862001Federal District, Vargas [State: Venezuela]862002Amazonas Federal Territory [State: Venezuela]862003Anzoátegui [State: Venezuela]862004Apure [State: Venezuela]862005Aragua [State: Venezuela]862007Bolívar [State: Venezuela]862008Carabobo [State: Venezuela]862009Cojedes [State: Venezuela]862010Amacuros Delta Federal Territory [State: Venezuela]862011Falcón [State: Venezuela]862012Guárico [State: Venezuela]862013Lara [State: Venezuela]862014Barinas, Mérida [State: Venezuela]862015Miranda [State: Venezuela]862016Monagas [State: Venezuela]862017Nueva Esparta, Federal Dependencies [State: Venezuela]862018Portuguesa [State: Venezuela]862019Sucre [State: Venezuela]862020Táchira [State: Venezuela]862021Trujillo [State: Venezuela]862022Yaracuy [State: Venezuela]862023Zulia [State: Venezuela]862097Foreign country [State: Venezuela]862098Unknown [State: Venezuela]862099NIU (not in universe) [State: Venezuela]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 previous residence, Malawi; consistent boundaries, GISMIG1_P_MW indicates the person's district of previous residence within Malawi. The migration could have occurred at any time in the past.
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.454101Chitipa454102Karonga454103Nkhata Bay, Likoma454104Rumphi454105Mzimba, Mzuzu City454201Kasungu454202Nkhotakota454203Ntchisi454204Dowa454205Salima454206Lilongwe, Lilongwe City454207Mchinji454208Dedza454209Ntcheu454301Mangochi454302Machinga454303Zomba, Zomba City454304Chiradzulu454305Blantyre, Blantyre City454306Mwanza, Neno454307Thyolo454308Mulanje454309Phalombe454310Chikwawa454311Nsanje454312Balaka454997Abroad454999NIU (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 -- 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 limiting ability to walkDISMOBIL indicates whether the person has difficulty walking or climbing stairs.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)<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A499 MW08A500 MW08A003 MW08A403" a="all">P1. Number of the person and name ____<br /></svar>Malawi 2008: All personsThis variable indicates the person number (within household).000Household record001100220033004400550066007700880099010100111101212013130141401515016160171701818019190202002121022220232302424025250262602727028280292903030031310323203333034340353503636037370383803939040400414104242043430444404545046460474704848049490505005151052520535305454055550565605757058580595906060061610626206363064640656506666067670686806969070700717107272073730747407575076760777707878079790808008181082820838308484085850868608787088880898909090091910929209393094940959509696097970989809999100100Technical Person Variables -- PERSONRelationship to head of household<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A405 MW08A460 MW08A478" a="all">P2. What is [the respondent's] relationship with the head of household?<br /><div class="i1">[] 1 Head of household<br />[] 2 Wife / husband<br />[] 3 Son / daughter<br />[] 4 Other relative<br />[] 5 Non relative</div><br /></svar><svar v="MW08A405 MW08A460 MW08A478" a="all"><span class="em">P02. Relationship to head of household </span><br />This refers to the relationship of any member of the household to the <span class="ital">head</span> of that household. The categories of relatives of the head are provided.<br /><br />Code 1 should be shaded once in the questionnaire, because a household will only have one head and only one code should be shaded for a person.<br /><br />If code 3 for son/daughter is shaded, ensure that a head is the biological or real parent of the child, "<span class="lang">Makolo ake omubereka</span>". For other children -- e.g. stepsons and stepdaughters or adopted children to the head -- make sure that you shade 4 for "Other relative" instead of son or daughter.<br /><br />If you are enumerating in an institution, each of the listed persons will be considered as an institutional member and will be given code 4.<br /><br />If a household comprises two or more unrelated persons, treat one of them as head (code 1) and the others as non-relatives (code 4).<br /><br />Caution: Please note that the respondent may not always be the head of the household, but the relationship of each member must be with reference to the head.<br /></svar>Malawi 2008: All personsThis variable indicates the person's relationship to household head.1Head of household2Wife/husband3Biological son/daughter4Other relative5Non-relativeDemographic Variables -- PERSONSex<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A406 MW08A461 MW08A479" a="all">P3. Is [the respondent] male or female?<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar><svar v="MW08A461 MW08A406 MW08A478" a="all"><span class="em">P03. Sex</span><br />Shade Code 1 for "Male" and Code 2 for "Female". Be careful to get the sex of young children right; ask, do not guess. Always confirm or verify the sex of a person against information recorded in P01 before shading. There are many names that may be given to either males or females (e.g. Takondwa), which could either be male or female, even though in some cases you can tell sex by the name of the person.<br /></svar>Malawi 2008: All personsThis variable indicates the person's sex.1Male2FemaleDemographic Variables -- PERSONMonth of birth<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A407 MW08A408 MW08A481 MW08A482 MW08A483" a="all">P4. In what month and year was [the respondent] born? _ _ / _ _<br /></svar><svar v="MW08A407 MW08A408 MW08A481 MW08A482 MW08A483" a="all"><span class="em">P05. Date of birth</span><br />Date of birth should be asked so as to validate the age given in P04. Record the date of birth in month and the year of birth in the boxes provided. For instance, for May 1969 write "05" in the first two boxes, 6 in the second box and 9 in the third box then shade 5 in the first row for a month and 6 in the second row and 9 in the third row as it is done in an example in the questionnaire.<br /><br />Note: For a month there is no "0" for you to shade because double shading on a row is not allowed, hence do not forget to start with "0" when recording any month with a single digit.<br /><br />If the date of birth is not known, your last resort is to use the calendar of events provided to you and the district calendar of events manual provided. The age of a person is obtained in the column headed "Date".<br /><br />Do not try to place much reliance on a single event; check the reported year of birth with an event, which the person clearly remembers.<br /><br />If the person in question does not know of an appropriate event coinciding exactly with his date of birth, ask him to remember an event which occurred nearer to his date of birth. Do some arithmetic to reach his date of birth either.<br /><br />Finally, if everything else fails you can look at the person, check his/her position in relation to his/her siblings (brother/sister) whose ages are known in the family and through common sense establish his/her probable age. Alternatively, you can ask the person to think of his/her age-mates who know their ages, establish their ages and record the same age for him/her. Never leave P05 blank.<br /></svar>Malawi 2008: All personsThis variable indicates the person's month of birth.01January02February03March04April05May06June07July08August09September10October11November12DecemberDemographic Variables -- PERSONYear of birth<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A407 MW08A408 MW08A481 MW08A482 MW08A483" a="all">P4. In what month and year was [the respondent] born? _ _ / _ _<br /></svar><svar v="MW08A407 MW08A408 MW08A481 MW08A482 MW08A483" a="all"><span class="em">P05. Date of birth</span><br />Date of birth should be asked so as to validate the age given in P04. Record the date of birth in month and the year of birth in the boxes provided. For instance, for May 1969 write "05" in the first two boxes, 6 in the second box and 9 in the third box then shade 5 in the first row for a month and 6 in the second row and 9 in the third row as it is done in an example in the questionnaire.<br /><br />Note: For a month there is no "0" for you to shade because double shading on a row is not allowed, hence do not forget to start with "0" when recording any month with a single digit.<br /><br />If the date of birth is not known, your last resort is to use the calendar of events provided to you and the district calendar of events manual provided. The age of a person is obtained in the column headed "Date".<br /><br />Do not try to place much reliance on a single event; check the reported year of birth with an event, which the person clearly remembers.<br /><br />If the person in question does not know of an appropriate event coinciding exactly with his date of birth, ask him to remember an event which occurred nearer to his date of birth. Do some arithmetic to reach his date of birth either.<br /><br />Finally, if everything else fails you can look at the person, check his/her position in relation to his/her siblings (brother/sister) whose ages are known in the family and through common sense establish his/her probable age. Alternatively, you can ask the person to think of his/her age-mates who know their ages, establish their ages and record the same age for him/her. Never leave P05 blank.<br /></svar>Malawi 2008: All personsThis variable indicates the person's year of birth.19091909191019101911191119121912191319131914191419151915191619161917191719181918191919191920192019211921192219221923192319241924192519251926192619271927192819281929192919301930193119311932193219331933193419341935193519361936193719371938193819391939194019401941194119421942194319431944194419451945194619461947194719481948194919491950195019511951195219521953195319541954195519551956195619571957195819581959195919601960196119611962196219631963196419641965196519661966196719671968196819691969197019701971197119721972197319731974197419751975197619761977197719781978197919791980198019811981198219821983198319841984198519851986198619871987198819881989198919901990199119911992199219931993199419941995199519961996199719971998199819991999200020002001200120022002200320032004200420052005200620062007200720082008Demographic Variables -- PERSONAge<svar v="MW08A480 MW08A462" a="all">P5. How old was [the respondent] at his/her last birthday? _ _<br /><div class="i1">Enter age in completed years ("00" for children younger than one year)</div><br /></svar><svar v="MW08A409 MW08A462 MW08A480" a="all"><span class="em">P04. Age</span><br />Ask and record the age of each household member. Record age in completed years in the boxes provided; shade the appropriate codes neatly. You should take great care to obtain an accurate answer.<br /><br />For persons who cannot remember their age, try and find from the following documents<br />- Health passport book for children<br />- Baptismal certificate<br />- Passport<br />- <span class="lang">Ulendo wa banja lathu</span><br />- Other records, e.g. a driving license<br /><br />If the above documents cannot be obtained, your last resort is to use the calendar of events given to you. The age of a person is obtained in the column titled "years ago". Do not try to place much reliance on a single event - check the reported year of birth with an event which the person clearly remembers.<br /><br />If the person in question does not know of an appropriate event coinciding exactly with his date of birth, ask him to remember an event which occurred nearer to his date of birth and do some arithmetic to reach his date of birth either backwards or forward depending on whether he/she was born after or before the event.<br /><br />Finally, if everything else fails you can look at the person, check his/her position in relation to his/her siblings (brother/sister) whose ages are known in the family and through common sense establish his/her probable age. Alternatively, you can ask the person to think of his/her age-mates who know their ages, establish their ages and record the same age for him/her. Never leave P04 un-shaded.<br /><br />Note: If the person is 100 years old, record "100" in one box and do not shade.<br /></svar>Malawi 2008: All personsThis variable indicates the person's age.00001102203304405506607708809910101111121213131414151516161717181819192020212122222323242425252626272728282929303031313232333334343535363637373838393940404141424243434444454546464747484849495050515152525353545455555656575758585959606061616262636364646565666667676868696970707171727273737474757576767777787879798080818182828383848485858686878788888989909091919292939394949595969697979898 and over99UnknownDemographic Variables -- PERSONDistrict or country of birth<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A410" a="all">P6. Where was [the respondent] born? _ _ _<br /><div class="i1">Code region and district, or code the foreign country code</div><br /></svar><svar v="MW08A410" a="all"><span class="em">P06. Place of birth</span><br />Ask for the region and district in which the respondent was born. Write the codes of region and district in the boxes provided. Then, shade the appropriate code of the region in the first row of digits and appropriate code of the district in the second and third row of digits.<br /><br />Example: If a person was born in Mangochi district in the central region, write code "03" for the Southern Region and shade 3 in the first row of digits. Then, write code "01" for Lilongwe district in the boxes provided, and follow this by shading 0 in the second row of digits and 1 in the third row.<br /><br />If a person was born in one of the following districts: Blantyre, Zomba, Lilongwe, or Mzimba, ask if the person was born in a city. For example: in Mzimba, ask if the person was born in Mzuzu city. If yes, record a code for the city in the box for a district.<br /><br />If a person was not born in Malawi, ask for the country in which he/she was born and write the appropriate code in the boxes provided. Then, shade appropriate digits in rows. Example: If a person was born in Lesotho, write "426" in the boxes provided and then shade the 4th digit in the first row, 2nd digit in the second row and 6th digit in the third row.<br /></svar>Malawi 2008: All personsThis variable indicates the person's district or country of birth.101Chitipa102Karonga103Nkhata Bay104Rumphi105Mzimba106Likoma107Mzuzu City201Kasunga202Nkhota Kota203Nthisi204Dowa205Salima206Lilongwe207Mchinji208Dedza209Ntcheu210Lilongwe City301Mangochi302Machinga303Zomba304Chiradzulu305Blantyre306Mwanza307Thyolo308Mulanje309Phalombe310Chikwawa311Nsanje312Balaka313Neno314Zomba city315Blantyre city401Afghanistan402Albania403Algeria405Andorra422Botswana428Bulgaria429Burundi432Cameroon440China444Congo/Brazzaville445Zaire/Congo451Dominica452Dominican Republic453Ecuador456Ethiopia460Falkland Islands472Germany475Greece476Guam477Guatemala480Haiti481Holy See482Honduras483Hong Kong486India498Kenya520Morocco526Mozambique539Nigeria547Pakistan563Rwanda580Somalia581South Africa582Zimbabwe606Ukraine608United Kingdom611Tanzania612United States622Zambia990Other countryNativity and Birthplace Variables -- PERSONMalawian<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A411 MW08A412 MW08A463 MW08A464" a="all">P7. What is [the respondent's] nationality?<br /><div class="i1">[] If Malawian, mark here<br /><br />Foreigner: Record the country code _ _ _</div><br /></svar><svar v="MW08A411 MW08A412 MW08A464 MW08A465" a="all"><span class="em">P07. Nationality</span><br />Enquire about the citizenship of each member of the household. You should establish whether the person is a Malawian or not. Mark the first box if the respondent is a Malawian. However if the respondent is not a Malawian, record the code in the appropriate box provided and shade the appropriate box.<br /><br />Example: a person who is a British citizen (UK) should be coded "549". See Appendix B.<br /></svar>Malawi 2008: All personsThis variable indicates whether the person is Malawian.1Malawian2ForeignerNativity and Birthplace Variables -- PERSONNationality<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A411 MW08A412 MW08A463 MW08A464" a="all">P7. What is [the respondent's] nationality?<br /><div class="i1">[] If Malawian, mark here<br /><br />Foreigner: Record the country code _ _ _</div><br /></svar><svar v="MW08A411 MW08A412 MW08A464 MW08A465" a="all"><span class="em">P07. Nationality</span><br />Enquire about the citizenship of each member of the household. You should establish whether the person is a Malawian or not. Mark the first box if the respondent is a Malawian. However if the respondent is not a Malawian, record the code in the appropriate box provided and shade the appropriate box.<br /><br />Example: a person who is a British citizen (UK) should be coded "549". See Appendix B.<br /></svar>Malawi 2008: Foreigners [discrepancies: none]This variable indicates the person's nationality.429Burundi444Congo/Brazzaville445Zaire/Congo456Ethiopia472Germany486India498Kenya526Mozambique539Nigeria547Pakistan563Rwanda581South Africa582Zimbabwe608United Kingdom611Tanzania612United States622Zambia990Other country (response suppressed)999NIU (not in universe)Nativity and Birthplace Variables -- PERSONResidence status<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A413" a="all">P8. What is the situation of residence of [the respondent]?<br /><div class="i1">[] 1 Present resident<br />[] 2 Absent resident<br />[] 3 Visitor (go to the next person)</div><br /></svar><svar v="MW08A413" a="all"><span class="em">P08. Residence</span><br />Ask about the status of residence of the person being interviewed. Please note that the row has a filter for visitor. If the respondent is a visitor, skip to the next member of the household.<br /><br />Present resident is a usual member of the household who spent the last night in the household.<br />Absent resident is a usual member who did not sleep in the household last night.<br /></svar>Malawi 2008: All personsThis variable indicates the person's residence status (present or absent).1Present resident2Absent resident3VisitorTechnical Person Variables -- PERSONReligion<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v="MW08A414 MW08A465" a="all">P9. What is [the respondent's] religion?<br /><div class="i1">[] 1 Christian<br />[] 2 Muslim<br />[] 3 Other<br />[] 4 No religion</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A414 MW08A465" a="all"><span class="em">P09. Religion</span><br />Ask respondents about the type of religion. There are cases when a child's religion is not known. If the husband and his wife belong to different religions, you should assign the child the religion of the mother. If both parents belong to the same religion then consider the child as belonging to their religion too. Shade the appropriate code of religion of each person in the household.<br /><br />Example: If the Religion is Christian, it should be assigned code 3.<br /></svar>Malawi 2008: Non-visitors [discrepancies: none]This variable indicates the person's religion.1Christian2Muslim3Other4None9NIU (not in universe)Ethnicity and Language Variables -- PERSONTribe<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v="MW08A415 MW08A466 MW08A496" a="all">P10. What is [the respondent's] tribe?<br /><div class="i1">Code tribe: _ _</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v=" MW08A496 MW08A415 MW08A466" a="all"><span class="em">P10. Tribe</span><br />Ask for the tribe of the respondent and write the appropriate code in the boxes provided. In a situation where the respondent does not know the tribe of the child because the parents are from different tribes, ask whether they are in the paternal or maternal system. If paternal, take the father's tribe but if maternal, you take the mother's tribe.<br /><br />Example: If the respondent's tribe is Lomwe, write "05" in the space provided and then shade the appropriate digits in the two rows provided. The codes for tribe are provided in Appendix D.<br /></svar>Malawi 2008: Non-visitors [discrepancies: none]This variable indicates the person's tribe.01Chewa02Nyanja03Yao04Tumbuka05Lomwe06Ngonde07Ngoni08Sena09Tonga10Nyakyusa11Lambya12Senga13Other99NIU (not in universe)Ethnicity and Language Variables -- PERSONDistrict or country of previous residence<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v="MW08A416" a="all">P11. Where was [the respondent] residing previously? _ _ _<br /><div class="i1">Code region and district, or code the foreign country code</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A416" a="all"><span class="em">P11. Previous residence</span><br />Ask for the region and district in which the respondent was previously residing. Write the codes of region and district in the boxes provided. Then, shade the appropriate code of the region in the first row of digits and appropriate code of the district in the second and third rows of digits.<br /><br />Example: If a person was previously residing in Karonga in the Northern region, code "01" for North region and code "02" for Karonga district. Then, shade appropriate digits in all the three rows.<br /><br />If a person was previously residing out of Malawi, ask for the country in which she/he resided and write the appropriate code. Then, shade the appropriate digits in the three rows.<br /></svar>Malawi 2008: Non-visitors [discrepancies: none]This variable indicates the person's district or country of previous residence.101Chitipa102Karonga103Nkhata Bay104Rumphi105Mzimba106Likoma107Mzuzu City201Kasunga202Nkhota Kota203Nthisi204Dowa205Salima206Lilongwe207Mchinji208Dedza209Ntcheu210Lilongwe city301Mangochi302Machinga303Zomba304Chiradzulu305Blantyre306Mwanza307Thyolo308Mulanje309Phalombe310Chikwawa311Nsanje312Balaka313Neno314Zomba City315Blantyre City401Afghanistan402Albania403Algeria404American Samoa405Andorra406Angola407Antigua/Barbuda408Azerbaijan409Argentina410Australia411Austria412Bahamas413Bahrain414Bangladesh415Armenia416Barbados418Bermuda422Botswana428Bulgaria429Burundi432Cameroun444Congo/Brazzaville445Zaire/Congo451Dominica452Dominican Republic453Ecuador456Ethiopia460Falkland Islands464French Guiana467Gabon470Gaza Strip472Germany475Greece476Guam477Guatemala480Haiti481Holy See482Honduras483Hong Kong486India498Kenya526Mozambique539Nigeria563Rwanda581South Africa582Zimbabwe608United Kingdom611Tanzania612United States622Zambia990Other country (response suppressed)999NIU (not in universe)Migration: Global Variables -- PERSONDuration of residence (years)<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v="MW08A417" a="all">P12. How long has [the respondent] been living continuously in his/her current place of residence? _ _ _<br /><div class="i1">Record "000" if younger than 1 year<br />Record his/her age if the residence has not changed since birth</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A417" a="all"><span class="em">P12. Duration on current place of residence</span><br />Ask for the duration of residence in the current place of where the respondent is currently staying. If it is less than 1 year, record and shade 0 in three rows of digits. If he/she has been staying in the place for 5 years, code "005" and then shade 0 in the first row of digits, 0 in the second row and 5 in the third row. If the place of residence has not changed since birth, record his/her age.<br /><br />Note: P12 refers to inter-district movement, not within the district, except for Lilongwe, Zomba, Blantyre and Mzuzu.<br /><br />For example: If a person has shifted from Lilongwe rural to Lilongwe City, record how long she/he has stayed in Lilongwe City. On the other hand, if a person has shifted places within Lilongwe City, then there has been no movement. This applies to all urban areas of Blantyre, Zomba, Lilongwe, and Mzuzu.<br /><br />However, if there has been movement within district -- say from TA Kaphuka to Dedza BOMA -- then record the period stayed in Dedza district.<br /></svar>Malawi 2008: Non-visitors [discrepancies: none]This variable indicates how long the person has been living continuously in his/her current place of residence.00000011002200330044005500660077008800990101001111012120131301414015150161601717018180191902020021210222202323024240252502626027270282802929030300313103232033330343403535036360373703838039390404004141042420434304444045450464604747048480494905050051510525205353054540555505656057570585805959060600616106262063630646406565066660676706868069690707007171072720737307474075750767607777078780797908080081810828208383084840858508686087870888808989090900919109292093930949409595096960979709898099More than 98 years999NIU (not in universe)Migration: Global Variables -- PERSONType of disability, first<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v=" MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all">P13. Does [the respondent] have difficulty or problems in the following? If yes, what are the causes?<br /><div class="i1">Type of disability:</div><br /><div class="i2">[] 0 None<br />[] 1 Seeing<br />[] 2 Hearing<br />[] 3 Speaking<br />[] 4 Walking / climbing<br />[] 8 Other</div><br /><br /><div class="i1">Causes:</div><br /><div class="i2">[] 1 Congenital<br />[] 2 Disease / illness<br />[] 3 Injury / accident<br />[] 4 Not known<br />[] 8 Other</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all"><span class="em">P13. Type and causes of disability</span><br />Ask the respondents whether there any members of the household who should be classified as disabled. In this case, disability refers to physical or mental handicap, which inhibits an individual's ability to work or participate in normal activities. Furthermore, the enumerator should ask for the causes of disability.<br /><br />If the person has multiple disabilities and the first to be mentioned is "1" in the first row, ask for the cause and shade the appropriate code in the first row under cause. If the disability to be mentioned second is "Walking", shade 4 in the second row, ask for the cause and shade it in the second row under cause.<br /><br />Note: The enumerator should probe the type of disability in order not to confuse with current illness.<br /></svar>Malawi 2008: Non-visitors [discrepancies: none]This variable indicates the type of disability (first) the person has.0None1Seeing2Hearing3Speaking4Walking5Other9NIU (not in universe)Disability Variables -- PERSONCause of disability, first<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v=" MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all">P13. Does [the respondent] have difficulty or problems in the following? If yes, what are the causes?<br /><div class="i1">Type of disability:</div><br /><div class="i2">[] 0 None<br />[] 1 Seeing<br />[] 2 Hearing<br />[] 3 Speaking<br />[] 4 Walking / climbing<br />[] 8 Other</div><br /><br /><div class="i1">Causes:</div><br /><div class="i2">[] 1 Congenital<br />[] 2 Disease / illness<br />[] 3 Injury / accident<br />[] 4 Not known<br />[] 8 Other</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all"><span class="em">P13. Type and causes of disability</span><br />Ask the respondents whether there any members of the household who should be classified as disabled. In this case, disability refers to physical or mental handicap, which inhibits an individual's ability to work or participate in normal activities. Furthermore, the enumerator should ask for the causes of disability.<br /><br />If the person has multiple disabilities and the first to be mentioned is "1" in the first row, ask for the cause and shade the appropriate code in the first row under cause. If the disability to be mentioned second is "Walking", shade 4 in the second row, ask for the cause and shade it in the second row under cause.<br /><br />Note: The enumerator should probe the type of disability in order not to confuse with current illness.<br /></svar>Malawi 2008: Non-visitors with disability [discrepancies: none]This variable indicates the cause of first disability.1Congenital2Disease3Injury4Not known5Other9NIU (not in universe)Disability Variables -- PERSONType of disability, second<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v=" MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all">P13. Does [the respondent] have difficulty or problems in the following? If yes, what are the causes?<br /><div class="i1">Type of disability:</div><br /><div class="i2">[] 0 None<br />[] 1 Seeing<br />[] 2 Hearing<br />[] 3 Speaking<br />[] 4 Walking / climbing<br />[] 8 Other</div><br /><br /><div class="i1">Causes:</div><br /><div class="i2">[] 1 Congenital<br />[] 2 Disease / illness<br />[] 3 Injury / accident<br />[] 4 Not known<br />[] 8 Other</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all"><span class="em">P13. Type and causes of disability</span><br />Ask the respondents whether there any members of the household who should be classified as disabled. In this case, disability refers to physical or mental handicap, which inhibits an individual's ability to work or participate in normal activities. Furthermore, the enumerator should ask for the causes of disability.<br /><br />If the person has multiple disabilities and the first to be mentioned is "1" in the first row, ask for the cause and shade the appropriate code in the first row under cause. If the disability to be mentioned second is "Walking", shade 4 in the second row, ask for the cause and shade it in the second row under cause.<br /><br />Note: The enumerator should probe the type of disability in order not to confuse with current illness.<br /></svar>Malawi 2008: Non-visitors with more than one disability [discrepancies: not verifiable]This variable indicates the type of disability (second) the person has.1Seeing2Hearing3Speaking4Walking5Other9NIU (not in universe)Disability Variables -- PERSONCause of disability, second<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v=" MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all">P13. Does [the respondent] have difficulty or problems in the following? If yes, what are the causes?<br /><div class="i1">Type of disability:</div><br /><div class="i2">[] 0 None<br />[] 1 Seeing<br />[] 2 Hearing<br />[] 3 Speaking<br />[] 4 Walking / climbing<br />[] 8 Other</div><br /><br /><div class="i1">Causes:</div><br /><div class="i2">[] 1 Congenital<br />[] 2 Disease / illness<br />[] 3 Injury / accident<br />[] 4 Not known<br />[] 8 Other</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all"><span class="em">P13. Type and causes of disability</span><br />Ask the respondents whether there any members of the household who should be classified as disabled. In this case, disability refers to physical or mental handicap, which inhibits an individual's ability to work or participate in normal activities. Furthermore, the enumerator should ask for the causes of disability.<br /><br />If the person has multiple disabilities and the first to be mentioned is "1" in the first row, ask for the cause and shade the appropriate code in the first row under cause. If the disability to be mentioned second is "Walking", shade 4 in the second row, ask for the cause and shade it in the second row under cause.<br /><br />Note: The enumerator should probe the type of disability in order not to confuse with current illness.<br /></svar>Malawi 2008: Non-visitors with more than one disability [discrepancies: none]This variable indicates the cause of second disability.1Congenital2Disease3Injury4Not known5Other9NIU (not in universe)Disability Variables -- PERSONType of disability, third<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v=" MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all">P13. Does [the respondent] have difficulty or problems in the following? If yes, what are the causes?<br /><div class="i1">Type of disability:</div><br /><div class="i2">[] 0 None<br />[] 1 Seeing<br />[] 2 Hearing<br />[] 3 Speaking<br />[] 4 Walking / climbing<br />[] 8 Other</div><br /><br /><div class="i1">Causes:</div><br /><div class="i2">[] 1 Congenital<br />[] 2 Disease / illness<br />[] 3 Injury / accident<br />[] 4 Not known<br />[] 8 Other</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all"><span class="em">P13. Type and causes of disability</span><br />Ask the respondents whether there any members of the household who should be classified as disabled. In this case, disability refers to physical or mental handicap, which inhibits an individual's ability to work or participate in normal activities. Furthermore, the enumerator should ask for the causes of disability.<br /><br />If the person has multiple disabilities and the first to be mentioned is "1" in the first row, ask for the cause and shade the appropriate code in the first row under cause. If the disability to be mentioned second is "Walking", shade 4 in the second row, ask for the cause and shade it in the second row under cause.<br /><br />Note: The enumerator should probe the type of disability in order not to confuse with current illness.<br /></svar>Malawi 2008: Non-visitors with more than two disabilities [discrepancies: not verifiable]This variable indicates the type of disability (third) the person has.1Seeing, hearing, or speaking4Walking5Other8Unknown9NIU (not in universe)Disability Variables -- PERSONCause of disability, third<svar v="MW08A414 MW08A415 MW08A416 MW08A417 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423">[Questions P9-P13 were asked of usual residents]<br /></svar></p>
<p><svar v=" MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all">P13. Does [the respondent] have difficulty or problems in the following? If yes, what are the causes?<br /><div class="i1">Type of disability:</div><br /><div class="i2">[] 0 None<br />[] 1 Seeing<br />[] 2 Hearing<br />[] 3 Speaking<br />[] 4 Walking / climbing<br />[] 8 Other</div><br /><br /><div class="i1">Causes:</div><br /><div class="i2">[] 1 Congenital<br />[] 2 Disease / illness<br />[] 3 Injury / accident<br />[] 4 Not known<br />[] 8 Other</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423" a="all"><span class="em">P13. Type and causes of disability</span><br />Ask the respondents whether there any members of the household who should be classified as disabled. In this case, disability refers to physical or mental handicap, which inhibits an individual's ability to work or participate in normal activities. Furthermore, the enumerator should ask for the causes of disability.<br /><br />If the person has multiple disabilities and the first to be mentioned is "1" in the first row, ask for the cause and shade the appropriate code in the first row under cause. If the disability to be mentioned second is "Walking", shade 4 in the second row, ask for the cause and shade it in the second row under cause.<br /><br />Note: The enumerator should probe the type of disability in order not to confuse with current illness.<br /></svar>Malawi 2008: Non-visitors with more than two disabilities [discrepancies: none]This variable indicates the cause of third disability.5Other (not specified)8Unknown9NIU (not in universe)Disability Variables -- PERSONMother alive<svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A428"> [Questions P14-P15 were asked of those younger than 18 years old]<br /></svar></p>
<p>P14. Parental survivorship and residence</p>
<div class="i1">Is [the respondent's] natural mother alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural mother live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Is [the respondent's] natural father alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural father live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A467 MW08A468 MW08A484 MW08A485" a="all"><span class="em">Household members age 18 years or younger</span><br />These questions should be asked for household members age 18 years or younger.<br /><br />P14. Parental survivorship and residence<br />Ask whether the natural mother of the respondent is alive.<br /><br />Make sure that the mother referred to in this case is the real or biological mother (<span class="lang">"mayi ake omubereka"</span>). A foster parent referred to as "mother" in Malawi Custom just because she is the real mother's sister should be coded as "2". You should therefore probe to find out if the mother is the biological mother of the person referred to. If the natural mother is still alive, ask if she stays in this household.<br /><br />Ask whether the natural father of the respondent is alive.<br /><br />Make sure that the father referred to in this case is the real or biological father (<span class="lang">"bambo ake omubereka"</span>). A foster parent referred to as "father" in Malawi custom just because he is the real father's brother should be coded as "2". You should therefore probe to find out if the father is the biological father. If the natural father is still alive, ask if he stays in this household.<br /></svar>Malawi 2008: Non-visitors age 18 or less [discrepancies: type I none; type II none]This variable indicates whether the person's mother is still alive.1Yes2No9NIU (not in universe)Fertility and Mortality Variables -- PERSONMother in house<svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A428"> [Questions P14-P15 were asked of those younger than 18 years old]<br /></svar></p>
<p>P14. Parental survivorship and residence</p>
<div class="i1">Is [the respondent's] natural mother alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural mother live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Is [the respondent's] natural father alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural father live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A467 MW08A468 MW08A484 MW08A485" a="all"><span class="em">Household members age 18 years or younger</span><br />These questions should be asked for household members age 18 years or younger.<br /><br />P14. Parental survivorship and residence<br />Ask whether the natural mother of the respondent is alive.<br /><br />Make sure that the mother referred to in this case is the real or biological mother (<span class="lang">"mayi ake omubereka"</span>). A foster parent referred to as "mother" in Malawi Custom just because she is the real mother's sister should be coded as "2". You should therefore probe to find out if the mother is the biological mother of the person referred to. If the natural mother is still alive, ask if she stays in this household.<br /><br />Ask whether the natural father of the respondent is alive.<br /><br />Make sure that the father referred to in this case is the real or biological father (<span class="lang">"bambo ake omubereka"</span>). A foster parent referred to as "father" in Malawi custom just because he is the real father's brother should be coded as "2". You should therefore probe to find out if the father is the biological father. If the natural father is still alive, ask if he stays in this household.<br /></svar>Malawi 2008: Non-visitors age 18 or less [discrepancies: type I none; type II none]This variable indicates whether the person's mother resides in the same household.1Yes2No9NIU (not in universe)Technical Person Variables -- PERSONFather alive<svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A428"> [Questions P14-P15 were asked of those younger than 18 years old]<br /></svar></p>
<p>P14. Parental survivorship and residence</p>
<div class="i1">Is [the respondent's] natural mother alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural mother live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Is [the respondent's] natural father alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural father live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A467 MW08A468 MW08A484 MW08A485" a="all"><span class="em">Household members age 18 years or younger</span><br />These questions should be asked for household members age 18 years or younger.<br /><br />P14. Parental survivorship and residence<br />Ask whether the natural mother of the respondent is alive.<br /><br />Make sure that the mother referred to in this case is the real or biological mother (<span class="lang">"mayi ake omubereka"</span>). A foster parent referred to as "mother" in Malawi Custom just because she is the real mother's sister should be coded as "2". You should therefore probe to find out if the mother is the biological mother of the person referred to. If the natural mother is still alive, ask if she stays in this household.<br /><br />Ask whether the natural father of the respondent is alive.<br /><br />Make sure that the father referred to in this case is the real or biological father (<span class="lang">"bambo ake omubereka"</span>). A foster parent referred to as "father" in Malawi custom just because he is the real father's brother should be coded as "2". You should therefore probe to find out if the father is the biological father. If the natural father is still alive, ask if he stays in this household.<br /></svar>Malawi 2008: Non-visitors age 18 or less [discrepancies: type I none; type II none]This variable indicates whether the person's father is still alive.1Yes2No9NIU (not in universe)Fertility and Mortality Variables -- PERSONFather in house<svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A428"> [Questions P14-P15 were asked of those younger than 18 years old]<br /></svar></p>
<p>P14. Parental survivorship and residence</p>
<div class="i1">Is [the respondent's] natural mother alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural mother live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Is [the respondent's] natural father alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural father live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A467 MW08A468 MW08A484 MW08A485" a="all"><span class="em">Household members age 18 years or younger</span><br />These questions should be asked for household members age 18 years or younger.<br /><br />P14. Parental survivorship and residence<br />Ask whether the natural mother of the respondent is alive.<br /><br />Make sure that the mother referred to in this case is the real or biological mother (<span class="lang">"mayi ake omubereka"</span>). A foster parent referred to as "mother" in Malawi Custom just because she is the real mother's sister should be coded as "2". You should therefore probe to find out if the mother is the biological mother of the person referred to. If the natural mother is still alive, ask if she stays in this household.<br /><br />Ask whether the natural father of the respondent is alive.<br /><br />Make sure that the father referred to in this case is the real or biological father (<span class="lang">"bambo ake omubereka"</span>). A foster parent referred to as "father" in Malawi custom just because he is the real father's brother should be coded as "2". You should therefore probe to find out if the father is the biological father. If the natural father is still alive, ask if he stays in this household.<br /></svar>Malawi 2008: Non-visitors age 18 or less [discrepancies: type I none; type II none]This variable indicates whether the person's father resides in the same household.1Yes2No9NIU (not in universe)Technical Person Variables -- PERSONHas birth certificate<svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A428"> [Questions P14-P15 were asked of those younger than 18 years old]<br /></svar></p>
<p><svar v="MW08A428" a="all">P15. Does [the respondent] have a birth certificate?<br /><div class="i1">[] 1 Yes, seen<br />[] 2 Yes, but not seen<br />[] 3 No<br />[] 4 Don't know</div><br /></svar><svar v="MW08A428" a="all"><span class="em">P15. Birth certificate</span><br />Ask if the respondent has a birth certificate and request that it be shown to you.<br /><br />Note: If the respondent has problems with the question, show him/her the sample of the birth certificate in Appendix F.<br /></svar>Malawi 2008: Non-visitors age 18 or less [discrepancies: type I none; type II none]This variable indicates whether the person has a birth certificate.1Yes, seen2Yes, but not seen3No4Don't know9NIU (not in universe)Other Person Variables -- PERSONLiterate in English<svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"> [Questions P16-P19 were asked of residents age 3 years or older]<br /></svar></p>
<p><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434" a="all">P16. Can [the respondent] read and write in the following languages?<br /><div class="i1">[] 0 None<br />[] 1 English<br />[] 2 Chichewa<br />[] 4 Other</div><br /><br /><div class="i2">Record the sum of codes marked ____<br /><br />[Note: max sum is 7, indicating that this reflects the sum of the code values, not the number of languages known]</div><br /></svar><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"><span class="em">Household members age 3 years or older</span><br />[Questions P16-P19 were asked of persons age 3 years or older]<br /></svar></p>
<p><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434" a="all"><span class="em">P16. Literacy</span><br />Questions on literacy should be asked for persons 3 years and over. The enumerator should find out if the respondent can read and write a short sentence in any of the following languages: Chichewa, Tumbuka, English, and other. Then shade the appropriate code.<br /><br />If a person can read and write, say, Chichewa and English, you enter the sum of codes in the boxes provided (1+2 = 3). For example, enter the sum of Chichewa and French (2+4=6), enter the sum of English and French (1+4=5). Then, shade as appropriate the digit for the sum in the row of digits provided.<br /></svar>Malawi 2008: Non-visitors age 3+ [discrepancies: type I none; type II none]This variable indicates whether the person is literate in English.1Yes2No9NIU (not in universe)Education Variables -- PERSONLiterate in Chichewa<svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"> [Questions P16-P19 were asked of residents age 3 years or older]<br /></svar></p>
<p><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434" a="all">P16. Can [the respondent] read and write in the following languages?<br /><div class="i1">[] 0 None<br />[] 1 English<br />[] 2 Chichewa<br />[] 4 Other</div><br /><br /><div class="i2">Record the sum of codes marked ____<br /><br />[Note: max sum is 7, indicating that this reflects the sum of the code values, not the number of languages known]</div><br /></svar><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"><span class="em">Household members age 3 years or older</span><br />[Questions P16-P19 were asked of persons age 3 years or older]<br /></svar></p>
<p><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434" a="all"><span class="em">P16. Literacy</span><br />Questions on literacy should be asked for persons 3 years and over. The enumerator should find out if the respondent can read and write a short sentence in any of the following languages: Chichewa, Tumbuka, English, and other. Then shade the appropriate code.<br /><br />If a person can read and write, say, Chichewa and English, you enter the sum of codes in the boxes provided (1+2 = 3). For example, enter the sum of Chichewa and French (2+4=6), enter the sum of English and French (1+4=5). Then, shade as appropriate the digit for the sum in the row of digits provided.<br /></svar>Malawi 2008: Non-visitors age 3+ [discrepancies: type I none; type II none]This variable indicates whether the person is literate in Chichewa.1Yes2No9NIU (not in universe)Education Variables -- PERSONLiterate in other language<svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"> [Questions P16-P19 were asked of residents age 3 years or older]<br /></svar></p>
<p><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434" a="all">P16. Can [the respondent] read and write in the following languages?<br /><div class="i1">[] 0 None<br />[] 1 English<br />[] 2 Chichewa<br />[] 4 Other</div><br /><br /><div class="i2">Record the sum of codes marked ____<br /><br />[Note: max sum is 7, indicating that this reflects the sum of the code values, not the number of languages known]</div><br /></svar><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"><span class="em">Household members age 3 years or older</span><br />[Questions P16-P19 were asked of persons age 3 years or older]<br /></svar></p>
<p><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434" a="all"><span class="em">P16. Literacy</span><br />Questions on literacy should be asked for persons 3 years and over. The enumerator should find out if the respondent can read and write a short sentence in any of the following languages: Chichewa, Tumbuka, English, and other. Then shade the appropriate code.<br /><br />If a person can read and write, say, Chichewa and English, you enter the sum of codes in the boxes provided (1+2 = 3). For example, enter the sum of Chichewa and French (2+4=6), enter the sum of English and French (1+4=5). Then, shade as appropriate the digit for the sum in the row of digits provided.<br /></svar>Malawi 2008: Non-visitors age 3+ [discrepancies: type I none; type II none]This variable indicates whether the person is literate in other languages besides English and Chichewa.1Yes2No9NIU (not in universe)Education Variables -- PERSONLiteracy, detailed<svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"> [Questions P16-P19 were asked of residents age 3 years or older]<br /></svar></p>
<p><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434" a="all">P16. Can [the respondent] read and write in the following languages?<br /><div class="i1">[] 0 None<br />[] 1 English<br />[] 2 Chichewa<br />[] 4 Other</div><br /><br /><div class="i2">Record the sum of codes marked ____<br /><br />[Note: max sum is 7, indicating that this reflects the sum of the code values, not the number of languages known]</div><br /></svar><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"><span class="em">Household members age 3 years or older</span><br />[Questions P16-P19 were asked of persons age 3 years or older]<br /></svar></p>
<p><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434" a="all"><span class="em">P16. Literacy</span><br />Questions on literacy should be asked for persons 3 years and over. The enumerator should find out if the respondent can read and write a short sentence in any of the following languages: Chichewa, Tumbuka, English, and other. Then shade the appropriate code.<br /><br />If a person can read and write, say, Chichewa and English, you enter the sum of codes in the boxes provided (1+2 = 3). For example, enter the sum of Chichewa and French (2+4=6), enter the sum of English and French (1+4=5). Then, shade as appropriate the digit for the sum in the row of digits provided.<br /></svar>Malawi 2008: Non-visitors age 3+ [discrepancies: type I none; type II none]This variable indicates the detailed literacy status.0Not literate1English only2Chichewa only3English and Chichewa4Other language only5Other and English6Other and Chichewa7English, Chichewa and other9NIU (not in universe)Education Variables -- PERSONSchool attendance<svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"> [Questions P16-P19 were asked of residents age 3 years or older]<br /></svar></p>
<p><svar v="MW08A435" a="all">P 17. Has the respondent ever attended school?<br /><div class="i1">[] 0 Has never attended (go to P20)<br />[] 1 Has ever attended<br />[] 2 Is currently attending</div><br /></svar><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"><span class="em">Household members age 3 years or older</span><br />[Questions P16-P19 were asked of persons age 3 years or older]<br /></svar></p>
<p><svar v="MW08A435" a="all"><span class="em">P17. School attendance</span><br />Ask respondent about school attendance, including Pre-school.<br /><br />If response is never attended "0", skip to P20. But, if the response is "1" or "2", proceed to ask question P18.<br /></svar>Malawi 2008: Non-visitors age 3+ [discrepancies: type I none; type II none]This variable indicates whether the person has ever attended school.0Has never attended1Has ever attended2Is currently attending9NIU (not in universe)Education Variables -- PERSONHighest school level and grade attended<svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"> [Questions P16-P19 were asked of residents age 3 years or older]<br /></svar></p>
<p><svar v="MW08A436 MW08A437 MW08A438" a="all">P18. What is the highest level of school [the respondent] attended or is attending? And how many years of school did he/she complete at that level?<br /><div class="i1">[] 0 Preschool<br />[] 1 Primary<br />[] 2 Secondary<br />[] 3 University<br />[] 4 Other tertiary<br /><br />Number of years [up to 8]: ____</div><br /></svar><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"><span class="em">Household members age 3 years or older</span><br />[Questions P16-P19 were asked of persons age 3 years or older]<br /></svar></p>
<p><svar v="MW08A436 MW08A437 MW08A438" a="all"><span class="em">P18. Highest level of school and years attended</span><br />The question should only be asked to household members age 3 years or older. Two types of questions should be asked: highest level of school and number of years of schooling.<br /><br />The highest level should be irrespective of whether or not he/she has actually written or passed any examination at that level. It should be irrespective of whether or not one is currently in school or not.<br /><br />The enumerator should also shade, in the second row, the appropriate code for the number of years attended at that particular level.<br /><br />Example: If a man/woman reached but did not complete standard 7, he/she should be considered as having attended 7 years of primary school. Thus, Shade code 1 for highest level and 7 for number of years attended. If one repeated standard 8, shade 1 for highest level attended and 8 for years attended.<br /><br />Most people who left school before 1966 will tend to give the names of the classes used when they were at school and which are no longer being used. In this case, before you enter the number referring to the highest class reached, you must ask for the year in which they left school. This will enable you to convert their answers to the modern class names through the use of an "Educational conversion chart" which is on page 45 of this manual. For instance, Sub A and Sub B are to be recorded as standards 1 and 2 respectively; old standard 5 as standard 7; old standard 8 as form 2, respectively, etc. You should always check whether the person is giving old class names before making an entry in the questionnaire.<br /><br />Some people may not remember the highest class or standard they reached, and others may have been educated in another country where different names are given to classes. In such cases you should ask how many years they spent at school and shade the appropriate code for the class from the chart. Bear in mind that pupils sometimes repeat classes and where appropriate you should ask a question about this. In particular you must not assume that because a person spent more than eight years at school then it means he/she attended a secondary school. You will only record him as attending secondary school if he/she confirms that he actually did so.<br /></svar>Malawi 2008: Non-visitors age 3+ who have ever attended school [type I 1.7%; type II trace]This variable indicates the highest education level and grade the person ever attended.00Preschool10Primary, grade unspecified11Primary, grade 112Primary, grade 213Primary, grade 314Primary, grade 415Primary, grade 516Primary, grade 617Primary, grade 718Primary, grade 820Secondary, grade unspecified21Secondary, grade 122Secondary, grade 223Secondary, grade 324Secondary, grade 425Secondary, grade 526Secondary, grade 6+30University, level unspecified31University, level 132University, level 233University, level 334University, level 435University, level 536University, level 637University, level 738University, level 840Other education level, year unspecified41Other education level, year 142Other education level, year 243Other education level, year 344Other education level, year 4+98Unknown99NIU (not in universe)Education Variables -- PERSONHighest school level attended<svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"> [Questions P16-P19 were asked of residents age 3 years or older]<br /></svar></p>
<p><svar v="MW08A436 MW08A437 MW08A438" a="all">P18. What is the highest level of school [the respondent] attended or is attending? And how many years of school did he/she complete at that level?<br /><div class="i1">[] 0 Preschool<br />[] 1 Primary<br />[] 2 Secondary<br />[] 3 University<br />[] 4 Other tertiary<br /><br />Number of years [up to 8]: ____</div><br /></svar><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"><span class="em">Household members age 3 years or older</span><br />[Questions P16-P19 were asked of persons age 3 years or older]<br /></svar></p>
<p><svar v="MW08A436 MW08A437 MW08A438" a="all"><span class="em">P18. Highest level of school and years attended</span><br />The question should only be asked to household members age 3 years or older. Two types of questions should be asked: highest level of school and number of years of schooling.<br /><br />The highest level should be irrespective of whether or not he/she has actually written or passed any examination at that level. It should be irrespective of whether or not one is currently in school or not.<br /><br />The enumerator should also shade, in the second row, the appropriate code for the number of years attended at that particular level.<br /><br />Example: If a man/woman reached but did not complete standard 7, he/she should be considered as having attended 7 years of primary school. Thus, Shade code 1 for highest level and 7 for number of years attended. If one repeated standard 8, shade 1 for highest level attended and 8 for years attended.<br /><br />Most people who left school before 1966 will tend to give the names of the classes used when they were at school and which are no longer being used. In this case, before you enter the number referring to the highest class reached, you must ask for the year in which they left school. This will enable you to convert their answers to the modern class names through the use of an "Educational conversion chart" which is on page 45 of this manual. For instance, Sub A and Sub B are to be recorded as standards 1 and 2 respectively; old standard 5 as standard 7; old standard 8 as form 2, respectively, etc. You should always check whether the person is giving old class names before making an entry in the questionnaire.<br /><br />Some people may not remember the highest class or standard they reached, and others may have been educated in another country where different names are given to classes. In such cases you should ask how many years they spent at school and shade the appropriate code for the class from the chart. Bear in mind that pupils sometimes repeat classes and where appropriate you should ask a question about this. In particular you must not assume that because a person spent more than eight years at school then it means he/she attended a secondary school. You will only record him as attending secondary school if he/she confirms that he actually did so.<br /></svar>Malawi 2008: Non-visitors age 3+ who have ever attended school [type I 1.7%; type II trace]This variable indicates the education level the person has attended or is attending.0Preschool1Primary2Secondary3University4Other education level8Unknown9NIU (not in universe)Education Variables -- PERSONHighest school years or grade attended<svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"> [Questions P16-P19 were asked of residents age 3 years or older]<br /></svar></p>
<p><svar v="MW08A436 MW08A437 MW08A438" a="all">P18. What is the highest level of school [the respondent] attended or is attending? And how many years of school did he/she complete at that level?<br /><div class="i1">[] 0 Preschool<br />[] 1 Primary<br />[] 2 Secondary<br />[] 3 University<br />[] 4 Other tertiary<br /><br />Number of years [up to 8]: ____</div><br /></svar><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"><span class="em">Household members age 3 years or older</span><br />[Questions P16-P19 were asked of persons age 3 years or older]<br /></svar></p>
<p><svar v="MW08A436 MW08A437 MW08A438" a="all"><span class="em">P18. Highest level of school and years attended</span><br />The question should only be asked to household members age 3 years or older. Two types of questions should be asked: highest level of school and number of years of schooling.<br /><br />The highest level should be irrespective of whether or not he/she has actually written or passed any examination at that level. It should be irrespective of whether or not one is currently in school or not.<br /><br />The enumerator should also shade, in the second row, the appropriate code for the number of years attended at that particular level.<br /><br />Example: If a man/woman reached but did not complete standard 7, he/she should be considered as having attended 7 years of primary school. Thus, Shade code 1 for highest level and 7 for number of years attended. If one repeated standard 8, shade 1 for highest level attended and 8 for years attended.<br /><br />Most people who left school before 1966 will tend to give the names of the classes used when they were at school and which are no longer being used. In this case, before you enter the number referring to the highest class reached, you must ask for the year in which they left school. This will enable you to convert their answers to the modern class names through the use of an "Educational conversion chart" which is on page 45 of this manual. For instance, Sub A and Sub B are to be recorded as standards 1 and 2 respectively; old standard 5 as standard 7; old standard 8 as form 2, respectively, etc. You should always check whether the person is giving old class names before making an entry in the questionnaire.<br /><br />Some people may not remember the highest class or standard they reached, and others may have been educated in another country where different names are given to classes. In such cases you should ask how many years they spent at school and shade the appropriate code for the class from the chart. Bear in mind that pupils sometimes repeat classes and where appropriate you should ask a question about this. In particular you must not assume that because a person spent more than eight years at school then it means he/she attended a secondary school. You will only record him as attending secondary school if he/she confirms that he actually did so.<br /></svar>Malawi 2008: Non-visitors age 3+ who have ever attended school [type I 1.7%; type II trace]This variable indicates school year or grade the person has completed. This variable should be read in combination with MW08A437.00001102203304405506607708898Unknown99NIU (not in universe)Education Variables -- PERSONHighest education qualification attained<svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"> [Questions P16-P19 were asked of residents age 3 years or older]<br /></svar></p>
<p><svar v="MW08A439" a="all">P19. What is the highest qualification [the respondent] attained?<br /><div class="i1">[] 0 None<br />[] 1 PSLC<br />[] 2 JCE<br />[] 3 MSCE / GCE<br />[] 4 "A" level<br />[] 5 Diploma<br />[] 6 Degree<br />[] 7 Masters<br />[] 8 PhD</div><br /></svar><svar v="MW08A429 MW08A430 MW08A431 MW08A432 MW08A433 MW08A434 MW08A435 MW08A436 MW08A437 MW08A438 MW08A439"><span class="em">Household members age 3 years or older</span><br />[Questions P16-P19 were asked of persons age 3 years or older]<br /></svar></p>
<p><svar v="MW08A439" a="all"><span class="em">P19. Highest qualification</span><br />For all household members aged three years and over, ask for the highest qualification attained.<br /><br />The highest qualification in education is classified according to the nature of qualification obtained through the regular school system, for public and private colleges and universities. The qualification should be based on the levels of education acquired.<br /><br />Example: For people educated in Malawi, only those who completed a program of study at UNIMA or any other recognized university will have as their highest formal education completed BA, BSc, MA, MSc, PhD or whatever the case may be. Also, for those educated at any other recognized tertiary institutions who have acquired certificates or diplomas, the same principle shall apply.<br /><br />If someone reached Form 4 but did not pass MSCE, then his highest qualification attainment is JC and not MSCE. If someone went up to standard 8 but did not obtain the Primary School Leaving Certificate, he must be regarded as having no education qualification; that is his highest educational qualification will be "None" and shade code 0.<br /><br />Note: It is important that you should first of all find out exactly what certificate the household member is currently holding before circling any code.<br /><br />[Educational conversion charts omitted]<br /><br /></svar>Malawi 2008: Non-visitors age 3+ who have ever attended school [type I none; type II 2.9%]This variable indicates the highest qualification the person attained.00None01Primary school leaving certificate02Junior certificate03MSCE/GCE04A level05Diploma06Degree07Masters08PhD98Unknown99NIU (not in universe)Education Variables -- PERSONEconomically active<svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444"> [Questions P20-P24 were asked of residents aged 6 years or older]<br /></svar></p>
<p><svar v="MW08A440" a="all">P20. Aside from his/her own housework, did [the respondent] work during the last 7 days?<br /><div class="i1">[] 1 Yes (go to P25)<br />[] 2 No</div><br /></svar><svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444 MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506"><span class="em">Questions for usual residents age 6 years or older (economic activity)</span><br />[Questions P20-P27 were asked of persons age 6 years or over]<br /></svar></p>
<p><svar v="MW08A440" a="all"><span class="em">P20. Working or not working</span><br />Inquire about the working status of the household member.<br /><br />If the response is 1, skip to P25. If the person says 2, proceed to ask question P21.<br /></svar>Malawi 2008: Non-visitors age 6+ [discrepancies: type I none; type II 0.3%]This variable indicates whether the person worked during the last seven days, excluding his/her own housework.1Yes, worked in last 7 days2No, didn't work in last 7 days8Unknown9NIU (not in universe)Work Variables -- PERSONReason for not working<svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444"> [Questions P20-P24 were asked of residents aged 6 years or older]<br /></svar></p>
<p><svar v="MW08A441" a="all">P21. Why did [the respondent] not work during the last 7 days?<br /><div class="i1">[] 0 Homeworker<br />[] 1 Non-worker (never worked)<br />[] 2 On leave, but has job (go to P25)<br />[] 3 Retired (go to P23)<br />[] 4 Student (go to P23)<br />[] 5 Other (go to P23)</div><br /></svar><svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444 MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506"><span class="em">Questions for usual residents age 6 years or older (economic activity)</span><br />[Questions P20-P27 were asked of persons age 6 years or over]<br /></svar></p>
<p><svar v="MW08A441" a="all"><span class="em">P21. Economically inactive</span><br />Ask this question if the person did not work for at least an hour during the last 7 days and find out why he/she did not work.<br /><br />If the response is 2, skip to P25 and ask about his Occupation.<br /><br />If response is "Retired", "Student" or "Other" (i.e. prostitutes, gamblers, beggars, or people receiving private support), skip to P23 and ask whether that person is available for work.<br /></svar>Malawi 2008: Non-visitors age 6+ who did not work last week [discrepancies: none]This variable indicates the reason for not working during the last seven days.0Homeworker1Non-worker (never worked)2On leave, but has a job3Retired4Student5Other9NIU (not in universe)Work Variables -- PERSONSubsistence work<svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444"> [Questions P20-P24 were asked of residents aged 6 years or older]<br /></svar></p>
<p><svar v="MW08A442" a="all">P22. Did [the respondent] do one of the following activities during the last 7 days?<br /><div class="i1">[] 1 Farming / rearing animals / fishing (go to P25)<br />[] 2 Production / services / selling (go to P25)<br />[] 3 House worker at someone's house (go to P25)<br />[] 4 Homeworker at own house<br />[] 5 None</div><br /></svar><svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444 MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506"><span class="em">Questions for usual residents age 6 years or older (economic activity)</span><br />[Questions P20-P27 were asked of persons age 6 years or over]<br /></svar></p>
<p><svar v="MW08A442" a="all"><span class="em">P22. Economically active</span><br />This question will apply to household members who, in the last 7 days, did some economic activity.<br /><br />If the response is either 1, 2, or 3, skip to P25.<br /><br />Examples of production, services and selling;<br />Production - brewing of <span class="lang">kachasu, kuphika mandasi, kusoka mphasa</span><br />Services - teaching, shoe repairing, <span class="lang">ganyu</span><br />Selling - selling of <span class="lang">kaunjika</span>, firewood, groceries<br /></svar>Malawi 2008: Non-visitors age 6+ who have never worked or were homeworker last week [discrepancies: none]This variable indicates whether the person did some subsistence work during the last seven days.1Farming/rearing2Production/services/selling3Houseworker at someone's house4Homeworker at own house5None9NIU (not in universe)Work Variables -- PERSONAvailable to work<svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444"> [Questions P20-P24 were asked of residents aged 6 years or older]<br /></svar></p>
<p><svar v="MW08A443" a="all">P23. Is [the respondent] available to work?<br /><div class="i1">[] 1 Yes<br />[] 2 No (go to P28)</div><br /></svar><svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444 MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506"><span class="em">Questions for usual residents age 6 years or older (economic activity)</span><br />[Questions P20-P27 were asked of persons age 6 years or over]<br /></svar></p>
<p><svar v="MW08A443" a="all"><span class="em">P23. Availability to work</span><br />If in P21 the response is 3, 4, or 5, or in P22 the response is either 4 or 5, ask the person if he/she is available for work. If the response is "Yes", shade 1 and proceed to P24. If the response is "No", skip to P28.<br /></svar>Malawi 2008: Non-visitors age 6+ who did not work last week and are retired, student, other, working at own house or don't do subsistence work [discrepancies: none]This variable indicates whether the person is available to work.1Yes2No9NIU (not in universe)Work Variables -- PERSONLooking for work<svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444"> [Questions P20-P24 were asked of residents aged 6 years or older]<br /></svar></p>
<p><svar v="MW08A444" a="all">P24. Has [the respondent] been seeking work during the last 7 days?<br /><div class="i1">[] 0 No (go to P28)<br />[] 1 Yes, first job (go to P28)<br />[] 2 Yes, new job</div><br /></svar><svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444 MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506"><span class="em">Questions for usual residents age 6 years or older (economic activity)</span><br />[Questions P20-P27 were asked of persons age 6 years or over]<br /></svar></p>
<p><svar v="MW08A444" a="all"><span class="em">P24. Have been seeking work</span><br />If the response in P23 is 1 ("Yes"), ask the person if he/she has been looking for work during the last 7 days. If the response is either 0 ("No") or 1 ("Yes, first job"), skip to P28.<br /><br />If the response is 2 ("Yes, but looking for a new job"), proceed to ask P25.<br /></svar>Malawi 2008: Non-visitors age 6+ who did not work last week and are retired, student, other, working at own house or don't do subsistence work and are available for work [discrepancies: none]This variable indicates whether the person has been looking for work during the last seven days.0No1Yes, first job2Yes, new job9NIU (not in universe)Work Variables -- PERSONOccupation (2 digits)<svar v="MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506 MW08A507 MW08A508"> [Questions P25-P27 were asked only of residents who are currently working or have ever worked]<br /></svar></p>
<p><svar v="MW08A445 MW08A446 MW08A505 MW08A506" a="all">P25. What was [the respondent's] main occupation during the last 7 days or the last time he/she worked? ____<br /></svar><svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444 MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506"><span class="em">Questions for usual residents age 6 years or older (economic activity)</span><br />[Questions P20-P27 were asked of persons age 6 years or over]<br /></svar></p>
<p><svar v="MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506 MW08A507 MW08A508"><span class="em">Household members who are currently working/ever worked</span><br />[Questions P25-P27 were asked of persons currently working or ever worked]<br /></svar></p>
<p><svar v="MW08A445 MW08A446 MW08A505 MW08A506" a="all"><span class="em">P25. Occupation</span><br />Inquire about the occupation of the respondent and write the response in the space provided.<br /><br />Occupation refers to the kind of work the person does or the kind of the work he/she did when he/she was working for the first time. This question is to enquire specifically about the nature of the job he/she was doing most of the time in the last 7 days. If the person uses vague answers such as "Civil servant", "Businessman", or "Laborer", ask him/her the exact type of job he/she did most of the time, and then write the occupation in the space provided. The occupation will be best described by such job titles as "Teacher", "Driver", "Cook", etc. If a person moved from job to job, you will only record that occupation he/she was engaged in during the reference period or the last 7 days. If a person has two or more occupations, enter the one in which he/she spends most of his/her time.<br /><br />Try to get comprehensive answers, for example, it is not enough for a respondent to inform you that he/she is a teacher. Probe to find out if he/she is a primary or secondary school teacher, etc. Record secondary school teacher or whatever the case maybe. Below are some of the vague answers and some probing to assist you to arrive at a correct answer.<br /><br />Vague response: (probe to see if he/she is a...)<br /><div class="i1">- Doctor: medical, dentist, veterinary (doctor)<br />- Engineer: civil, electrical, chemical, mechanical<br />- Manager: administrative, finance, personnel, marketing, etc.<br />- Civil servant: economist, nurse, clerk, accountant, etc.<br />- Technician: chemical, civil engineering, electrical engineering, etc.<br />- Inspector: school building, safety and quality, police, etc.<br />- Clerk: secretary, transport, library, stock, etc.<br />- Laborer: mining, road construction, building construction, etc.<br />- Cleaner: domestic helper, office, hotel, etc.<br />- Driver: train, car, bus, truck/lorry, etc.</div><br /></svar>Malawi 2008: Non-visitors age 6+ who worked last week, do subsistence work, or sought workThis variable indicates the person's main occupation (2-digit).
This is the edited version of the original variable that attempts to correct a major data error. For significant parts of the file all individuals within households received duplicate responses, even children. In such households, only the first person who reported that they worked last week retains a response. All other persons are coded out of the universe or to "unknown." There is an alternative version of this variable that retains the original responses for all persons.001Physical scientists and related technicians002Architects003Engineers005Life scientists and related technicians006Medical workers007Veterinary008Mathematicians, statisticians and related technicians011Accountants012Jurists013Teachers014Religious workers015Writers016Artists017Musicians018Athletes019Professional, technical and related workers not elsewhere classified020Legislative officials and government administrators021Managers030Clerical supervisors031Government executive officials032Stenographers, typists and card and tape punching machine operators033Bookkeepers, cashiers and related workers034Computing machine operaters035Transport and communications supervisors036Transport conductors037Mail distribution clerks038Telephone and telegraph operators039Clerical and related workers not elsewhere classified040Managers041Working proprietors042Sales supervisors and buyers043Salesmen044Auctioneers045Salesmen, shop assistants and related workers050Managers (catering and lodging services)051Working proprietors (catering and lodging services)052Housekeeping and related service supervisors053Cooks, waiters, bartenders and relaters workers054Maids and related housekeeping service workers not elsewhere classified055Building caretakers, charworkers, cleaners and related workers056Launderers, dry-cleaners and pressers057Hairdressers, barbers, beauticians and related workers058Protective service workers059Service workers not elsewhere classified060Farm managers and supervisors061Farmers062Agricultural and animal husbandry workers063Forestry workers064Fishermen, hunters and related workers070Production supervisors and general foremen071Miners, quarrymen, well drillers and related workers073Wood preparation workers and paper makers074Chemical processers and related workers075Spinners, weavers, knitters, dyers and related workers077Food and beverage processers078Tobacco preparers and tobacco product makers079Tailors, dressmakers, sewers, upholsterers and related workers080Shoemakers and leather goods makers083Blacksmiths, toolmakers and machine-tool operators084Machinery fitters, machine assemblers and precision instrument makers (except electrical)085Electrical fitters and related electrical and electronics workers086Broadcasting station and sound equipment operators and cinema projectionists087Plumbers, welders, sheet metal and structural metal preparers and erectors089Glass formers, potters and related workers090Rubber and plastics product makers092Printers and related workers093Painters construction094Production and related workers not elsewhere classified095Bricklayers, carpenters and other construction workers096Stationary engine and related equipment operators097Material-handling and related equipment operators, dockers and freight handlers098Transport equipment operators099Other occupation, response suppressed998Unknown999NIU (not in universe)Work: Occupation Variables -- PERSONOccupation (1 digit)<svar v="MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506 MW08A507 MW08A508"> [Questions P25-P27 were asked only of residents who are currently working or have ever worked]<br /></svar></p>
<p><svar v="MW08A445 MW08A446 MW08A505 MW08A506" a="all">P25. What was [the respondent's] main occupation during the last 7 days or the last time he/she worked? ____<br /></svar><svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444 MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506"><span class="em">Questions for usual residents age 6 years or older (economic activity)</span><br />[Questions P20-P27 were asked of persons age 6 years or over]<br /></svar></p>
<p><svar v="MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506 MW08A507 MW08A508"><span class="em">Household members who are currently working/ever worked</span><br />[Questions P25-P27 were asked of persons currently working or ever worked]<br /></svar></p>
<p><svar v="MW08A445 MW08A446 MW08A505 MW08A506" a="all"><span class="em">P25. Occupation</span><br />Inquire about the occupation of the respondent and write the response in the space provided.<br /><br />Occupation refers to the kind of work the person does or the kind of the work he/she did when he/she was working for the first time. This question is to enquire specifically about the nature of the job he/she was doing most of the time in the last 7 days. If the person uses vague answers such as "Civil servant", "Businessman", or "Laborer", ask him/her the exact type of job he/she did most of the time, and then write the occupation in the space provided. The occupation will be best described by such job titles as "Teacher", "Driver", "Cook", etc. If a person moved from job to job, you will only record that occupation he/she was engaged in during the reference period or the last 7 days. If a person has two or more occupations, enter the one in which he/she spends most of his/her time.<br /><br />Try to get comprehensive answers, for example, it is not enough for a respondent to inform you that he/she is a teacher. Probe to find out if he/she is a primary or secondary school teacher, etc. Record secondary school teacher or whatever the case maybe. Below are some of the vague answers and some probing to assist you to arrive at a correct answer.<br /><br />Vague response: (probe to see if he/she is a...)<br /><div class="i1">- Doctor: medical, dentist, veterinary (doctor)<br />- Engineer: civil, electrical, chemical, mechanical<br />- Manager: administrative, finance, personnel, marketing, etc.<br />- Civil servant: economist, nurse, clerk, accountant, etc.<br />- Technician: chemical, civil engineering, electrical engineering, etc.<br />- Inspector: school building, safety and quality, police, etc.<br />- Clerk: secretary, transport, library, stock, etc.<br />- Laborer: mining, road construction, building construction, etc.<br />- Cleaner: domestic helper, office, hotel, etc.<br />- Driver: train, car, bus, truck/lorry, etc.</div><br /></svar>Malawi 2008: Non-visitors age 6+ who worked last week, do subsistence work, or sought workThis variable indicates the person's occupation (1-digit).
This is the edited version of the original variable that attempts to correct a major data error. For significant parts of the file all individuals within households received duplicate responses, even children. In such households, only the first person who reported that they worked last week retains a response. All other persons are coded out of the universe or to "unknown." There is an alternative version of this variable that retains the original responses for all persons.00Professional, technical and related workers01Professional, technical and related workers02Administrative and managerial workers03Clerical and related workers04Sales workers05Service workers06Agricultural, animal husbandry and forestry workers, fishermen and hunters07Production and related workers, transport equipment operators and laborers08Production and related workers, transport equipment operators and laborers09Production and related workers, transport equipment operators and laborers98Unknown99NIU (not in universe)Work: Occupation Variables -- PERSONClass of worker<svar v="MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506 MW08A507 MW08A508"> [Questions P25-P27 were asked only of residents who are currently working or have ever worked]<br /></svar></p>
<p><svar v="MW08A447 MW08A507" a="all">P26. What is [the respondent's] status in the occupation?<br /><div class="i1">[] 1 Employer<br />[] 2 Self-employed<br />[] 3 Public service<br />[] 4 Private sector<br />[] 5 Family farm / business<br />[] 6 Other</div><br /></svar><svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444 MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506"><span class="em">Questions for usual residents age 6 years or older (economic activity)</span><br />[Questions P20-P27 were asked of persons age 6 years or over]<br /></svar></p>
<p><svar v="MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506 MW08A507 MW08A508"><span class="em">Household members who are currently working/ever worked</span><br />[Questions P25-P27 were asked of persons currently working or ever worked]<br /></svar></p>
<p><svar v="MW08A447 MW08A507" a="all"><span class="em">P26. Person's work/occupation status</span><br />To be asked only for usual household members who are currently working or have ever worked.<br /><br />Ask the status in employment of an economically active individual (those who have been classified as working or have worked in the last 7 days). Shade the appropriate codes.<br /><br />Self-employed refers to an own account worker who operates his or her own economic enterprise or engages independently in a profession or trade and does not hire anybody for assistance.<br /></svar>Malawi 2008: Non-visitors age 6+ who worked last week, do subsistence work, or sought workThis variable indicates the person's class of worker.
This is the edited version of the original variable that attempts to correct a major data error. For significant parts of the file all individuals within households received duplicate responses, even children. In such households, only the first person who reported that they worked last week retains a response. All other persons are coded out of the universe or to "unknown." There is an alternative version of this variable that retains the original responses for all persons.1Employer2Self-employed3Public service4Private sector5Family farm/business6Other8Unknown9NIU (not in universe)Work Variables -- PERSONMain industry<svar v="MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506 MW08A507 MW08A508"> [Questions P25-P27 were asked only of residents who are currently working or have ever worked]<br /></svar></p>
<p><svar v="MW08A448 MW08A508" a="all">P27. What is the main product, service or activity of [the respondent's] place of work? ______<br /></svar><svar v="MW08A440 MW08A441 MW08A442 MW08A443 MW08A444 MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506"><span class="em">Questions for usual residents age 6 years or older (economic activity)</span><br />[Questions P20-P27 were asked of persons age 6 years or over]<br /></svar></p>
<p><svar v="MW08A445 MW08A446 MW08A447 MW08A448 MW08A505 MW08A506 MW08A507 MW08A508"><span class="em">Household members who are currently working/ever worked</span><br />[Questions P25-P27 were asked of persons currently working or ever worked]<br /></svar></p>
<p><svar v="MW08A448 MW08A508" a="all"><span class="em">P27. Industry/main product/services</span><br />Ask and write, in the spaces provided, the respondent's main products, service or activity produced or provided by the individual (and work mates, if applicable) at the place (industry) where he/she works. The same principle applies if the individual is self-employed or an employer.<br /><br />Example: A person may be an accounts clerk and employed by a dairy farmer - his occupation is "Accounting clerk" and his industry is "Dairy farming". Below are some specific examples of how to probe for better industry information:<br /><br />Response: (suggested probing questions)<br /><div class="i1">Factory: What kind of goods does the factory manufacture or make? (e.g. shoes, fruit juices, clothes, etc.) Thus if a respondent says he/she is working in a factory which manufactures sweets, record, "Sweets manufacturing". Alternatively, if you cannot determine what the factory produces, ask the respondent to give you the name of the factory and record it.<br /><br />Construction: What does the company build? (e.g. roads, dams, electrical plant, etc.) If the company builds houses, for example, then record "Building construction".<br /><br />Mining: What type of mine is it? (e.g. coal, gold, diamond, etc.) If gold is mined, for example, record "Gold mining".<br /><br />Shop: What does the shop sell? (e.g. shoes, clothes, groceries, etc.) If it sells groceries, record "Sale of groceries".<br /><br />Farming: What type of produce is farmed? Is it crop or livestock farming or both? Record "Crop farming" if crops are grown, "Livestock farming" if animals are reared.<br /><br />Self-employed: What kind of goods does the individual make or sell? (e.g. sells fruits and vegetables, weaves mats and baskets, sells clothes (hawker), etc.) Some examples of services an individual may provide are cutting, styling, treating illness (e.g. traditional healers, etc.)</div><br /></svar>Malawi 2008: Non-visitors age 6+ who worked last week, do subsistence work, or sought workThis variable indicates the industry in which the person works.
This is the edited version of the original variable that attempts to correct a major data error. For significant parts of the file all individuals within households received duplicate responses, even children. In such households, only the first person who reported that they worked last week retains a response. All other persons are coded out of the universe or to "unknown." There is an alternative version of this variable that retains the original responses for all persons.001Crop and animal production, hunting and related service activities002Forestry and logging003Fishing and aquaculture005Mining of coal and lignite007Mining of metal ores008Other mining and quarrying010Manufacture of food products011Manufacture of beverages012Manufacture of tobacco products013Manufacture of textiles014Manufacture of wearing apparel016Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials018Printing and reproduction of recorded media020Manufacture of chemicals and chemical products022Manufacture of rubber and plastics products023Manufacture of other non-metallic mineral products025Manufacture of fabricated metal products, except machinery and equipment028Manufacture of machinery and equipment n.e.c.031Manufacture of furniture032Other manufacturing033Repair and installation of machinery and equipment035Electricity, gas, steam and air conditioning supply036Water collection, treatment and supply041Construction of buildings042Civil engineering043Specialized construction activities045Wholesale and retail trade and repair of motor vehicles and motorcycles046Wholesale trade, except of motor vehicles and motorcycles047Retail trade, except of motor vehicles and motorcycles049Land transport and transport via pipelines050Water transport051Air transport052Warehousing and support activities for transportation053Postal and courier activities055Accommodation056Food and beverage service activities058Publishing activities059Motion picture, video and television programme production, sound recording and music publishing activities060Programming and broadcasting activities061Telecommunications062Computer programming, consultancy and related activities063Information service activities064Financial service activities, except insurance and pension funding065Insurance, reinsurance and pension funding, except compulsory social security068Real estate activities069Legal and accounting activities070Activities of head offices; management consultancy activities071Architectural and engineering activities; technical testing and analysis072Scientific research and development073Advertising and market research074Other professional, scientific and technical activities075Veterinary activities077Rental and leasing activities079Travel agency, tour operator, reservation service and related activities080Security and investigation activities081Services to buildings and landscape activities082Office administrative, office support and other business support activities084Public administration and defence; compulsory social security085Education086Human health activities087Residential care activities088Social work activities without accommodation090Creative, arts and entertainment activities091Libraries, archives, museums and other cultural activities093Sports activities and amusement and recreation activities094Activities of membership organizations095Repair of computers and personal and household goods096Other personal service activities097Activities of households as employers of domestic personnel099Activities of extraterritorial organizations and bodies990Other industry, response suppressed998Unknown999NIU (not in universe)Work: Industry Variables -- PERSONMarital status<svar v="MW08A449 MW08A450 MW08A486 MW08A487"> [Questions P28-P29 were asked of residents age 12 years or older]<br /></svar></p>
<p><svar v="MW08A449 MW08A469 MW08A486" a="all">P28. What is [the respondent's] marital status?<br /><div class="i1">[] 1 Never married (go to P30)<br />[] 2 Married<br />[] 3 Divorced / separated<br />[] 4 Widowed</div><br /></svar><svar v="MW08A449 MW08A469 MW08A486 MW08A450 MW08A487"><span class="em">Questions to be asked of usual residents age 12 years or older</span><br />[Questions P28-P29 were asked of usual residents age 12 years or older]<br /></svar></p>
<p><svar v="MW08A449 MW08A469 MW08A486" a="all"><span class="em">P28. Marital status</span><br />Record 2 if "Married" or not legally married but live together as husband and wife. Record 3 if "Divorced/separated": separated legally from his/her partner/living separately from his/her spouse without legal sanction. Record 4 if "Widowed": a person whose spouse passed away and not currently in marriage.<br /><br />If "Never married" (code 1), skip to P30.<br /></svar>Malawi 2008: Non-visitors age 12+ [discrepancies: type I none; type II none]This variable indicates the person's marital status.1Never married2Married3Divorced/Separated4Widowed9NIU (not in universe)Demographic Variables -- PERSONAge at first marriage or union<svar v="MW08A449 MW08A450 MW08A486 MW08A487"> [Questions P28-P29 were asked of residents age 12 years or older]<br /></svar></p>
<p><svar v="MW08A450 MW08A487" a="all">P29. How old was [the respondent] when he/she first got married? _ _<br /></svar><svar v="MW08A449 MW08A469 MW08A486 MW08A450 MW08A487"><span class="em">Questions to be asked of usual residents age 12 years or older</span><br />[Questions P28-P29 were asked of usual residents age 12 years or older]<br /></svar></p>
<p><svar v="MW08A450 MW08A487" a="all"><span class="em">P29. Age at first marriage</span><br />Ask the age in completed years at first marriage for all respondents who ever married (consensually married, divorced/separated or widowed).<br /><br />Write the age in completed years in the boxes provided and shade the digits as appropriate.<br /><br />If there is some difficulty in recalling the age, ask for the date (that is, year) at which that person first got married or lived with a partner. Then, age at first marriage can be obtained by subtracting date of birth (DOB) from date at first marriage (DFM).<br /><br />If the respondent cannot remember, try to find out roughly how many years that person has been married, and if she/he is still in the first marriage, deduct the number of years in marriage from 2008 to reach the year of marriage.<br /></svar>Malawi 2008: Ever-married non-visitors age 12+ [discrepancies: none]This variable indicates the person's age at first marriage.11111212131314141515161617171818191920202121222223232424252526262727282829293030313132323333343435353636373738383939404041414242434344444545464647474848494950505151525253535454555599NIU (not in universe)Demographic Variables -- PERSONMale children ever born<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all">P30. How many children were born alive to [the respondent]?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all"><span class="em">P30. Number of children ever born alive</span><br />Ask the respondent the number of children she has ever born alive ("Born alive" means that they must have shown a sign of life, e.g. crying at birth) during her lifetime. Enter the number of males in the first box and females in the second box and then shade the appropriate digits.<br /><br />If there are more than 9 females or males, just write 9.<br /><br />If the respondent has never had children in her lifetime, write 0 in the "Male" box and 0 in the "Female" box.<br /><br />The number should be written irrespective of whether children born to the woman are no longer staying with her and may be dead but they were born alive.<br /></svar>Malawi 2008: Non-visitor females age 12+ [discrepancies: type I none; type II 0.2%]This variable indicates the number of male children ever born to the person.00001102203304405506607708809998Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONFemale children ever born<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all">P30. How many children were born alive to [the respondent]?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all"><span class="em">P30. Number of children ever born alive</span><br />Ask the respondent the number of children she has ever born alive ("Born alive" means that they must have shown a sign of life, e.g. crying at birth) during her lifetime. Enter the number of males in the first box and females in the second box and then shade the appropriate digits.<br /><br />If there are more than 9 females or males, just write 9.<br /><br />If the respondent has never had children in her lifetime, write 0 in the "Male" box and 0 in the "Female" box.<br /><br />The number should be written irrespective of whether children born to the woman are no longer staying with her and may be dead but they were born alive.<br /></svar>Malawi 2008: Non-visitor females age 12+ [discrepancies: type I none; type II 0.2%]This variable indicates the number of female children ever born to the person.00001102203304405506607708809998Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONMale children surviving<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A494 MW08A495 MW08A502" a="all">P31. Among those children, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P31. Number of children still alive</span>
<br />Write the number of boys and girls in the boxes, provided that they are still alive. Then, shade digits as appropriate.</p>
<p>Note: From children born alive, indicate the total number even if they are staying somewhere else.Malawi 2008: Non-visitor females age 12+ [discrepancies: type I none; type II 0.2%]This variable indicates the number of male children born to the person who are still alive.00001102203304405506607708809998Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONFemale children surviving<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A494 MW08A495 MW08A502" a="all">P31. Among those children, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P31. Number of children still alive</span>
<br />Write the number of boys and girls in the boxes, provided that they are still alive. Then, shade digits as appropriate.</p>
<p>Note: From children born alive, indicate the total number even if they are staying somewhere else.Malawi 2008: Non-visitor females age 12+ [discrepancies: type I none; type II 0.3%]This variable indicates the number of female children born to the person who are still alive.00001102203304405506607708809998Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONMales born last year<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A456 MW08A457 MW08A474 MW08A475 MW08A492 MW08A493 MW08A503" a="all">P32. How many live births during the last 12 months?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P32. Live births in the last 12 months</span>
<br />Ask for live births that have been born in the last 12 months or since June 2007. Write the number of live births by sex in the space provided and shade the appropriate digits.Malawi 2008: Non-visitor females age 12+ [discrepancies: type I none; type II 0.2%]This variable indicates the number of male children born to the person last year.0None11228Unknown9NIU (not in universe)Fertility and Mortality Variables -- PERSONFemales born last year<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A456 MW08A457 MW08A474 MW08A475 MW08A492 MW08A493 MW08A503" a="all">P32. How many live births during the last 12 months?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P32. Live births in the last 12 months</span>
<br />Ask for live births that have been born in the last 12 months or since June 2007. Write the number of live births by sex in the space provided and shade the appropriate digits.Malawi 2008: Non-visitor females age 12+ [discrepancies: type I none; type II 0.2%]This variable indicates the number of female children born to the person last year.0None11228Unknown9NIU (not in universe)Fertility and Mortality Variables -- PERSONMales born last year surviving<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A504" a="all">P33. Among those children born in the last 12 months, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504" a="all"><span class="em">P33. Number of children still alive</span><br />Of the number of births born alive in the last 12 months, record how many are still alive. Write the number of boys and girls in the boxes provided. Then, shade the digits as appropriate.<br /><br />Important: You should make sure that you do not leave any columns from P30 to P33 blank for any woman aged 12 years or more. For instance, where a woman has reported having no children ever born alive in column P30, you should record zero(s) in the boxes but do not leave any of the boxes blank.<br /><br />While probing for this information, make sure that the woman does not exclude any of her children who might have died shortly after birth, as long as they were born alive. Furthermore, any of her children who might have died at any other age are to be recorded. However, ensure that still births: that is, the births which did not show any signs of life, are not included.<br /></svar>Malawi 2008: Non-visitor females age 12+ who had male child born last year [discrepancies: type I none; type II 0.1%]This variable indicates the number of male children born to the person last year who are still alive.0None11228Unknown9NIU (not in universe)Fertility and Mortality Variables -- PERSONFemales born last year surviving<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A504" a="all">P33. Among those children born in the last 12 months, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504" a="all"><span class="em">P33. Number of children still alive</span><br />Of the number of births born alive in the last 12 months, record how many are still alive. Write the number of boys and girls in the boxes provided. Then, shade the digits as appropriate.<br /><br />Important: You should make sure that you do not leave any columns from P30 to P33 blank for any woman aged 12 years or more. For instance, where a woman has reported having no children ever born alive in column P30, you should record zero(s) in the boxes but do not leave any of the boxes blank.<br /><br />While probing for this information, make sure that the woman does not exclude any of her children who might have died shortly after birth, as long as they were born alive. Furthermore, any of her children who might have died at any other age are to be recorded. However, ensure that still births: that is, the births which did not show any signs of life, are not included.<br /></svar>Malawi 2008: Non-visitor females age 12+ who had female child born last year [discrepancies: type I none; type II 0.1%]This variable indicates the number of female children born to the person last year who are still alive.0None11228Unknown9NIU (not in universe)Fertility and Mortality Variables -- PERSONRelationship flag<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A405 MW08A460 MW08A478" a="all">P2. What is [the respondent's] relationship with the head of household?<br /><div class="i1">[] 1 Head of household<br />[] 2 Wife / husband<br />[] 3 Son / daughter<br />[] 4 Other relative<br />[] 5 Non relative</div><br /></svar><svar v="MW08A405 MW08A460 MW08A478" a="all"><span class="em">P02. Relationship to head of household </span><br />This refers to the relationship of any member of the household to the <span class="ital">head</span> of that household. The categories of relatives of the head are provided.<br /><br />Code 1 should be shaded once in the questionnaire, because a household will only have one head and only one code should be shaded for a person.<br /><br />If code 3 for son/daughter is shaded, ensure that a head is the biological or real parent of the child, "<span class="lang">Makolo ake omubereka</span>". For other children -- e.g. stepsons and stepdaughters or adopted children to the head -- make sure that you shade 4 for "Other relative" instead of son or daughter.<br /><br />If you are enumerating in an institution, each of the listed persons will be considered as an institutional member and will be given code 4.<br /><br />If a household comprises two or more unrelated persons, treat one of them as head (code 1) and the others as non-relatives (code 4).<br /><br />Caution: Please note that the respondent may not always be the head of the household, but the relationship of each member must be with reference to the head.<br /></svar>Malawi 2008: All personsThis variable indicates the relationship flag.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONSex flag<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A406 MW08A461 MW08A479" a="all">P3. Is [the respondent] male or female?<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar><svar v="MW08A461 MW08A406 MW08A478" a="all"><span class="em">P03. Sex</span><br />Shade Code 1 for "Male" and Code 2 for "Female". Be careful to get the sex of young children right; ask, do not guess. Always confirm or verify the sex of a person against information recorded in P01 before shading. There are many names that may be given to either males or females (e.g. Takondwa), which could either be male or female, even though in some cases you can tell sex by the name of the person.<br /></svar>Malawi 2008: All personsThis variable indicates sex flag.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONAge flag<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A480 MW08A462" a="all">P5. How old was [the respondent] at his/her last birthday? _ _<br /><div class="i1">Enter age in completed years ("00" for children younger than one year)</div><br /></svar><svar v="MW08A409 MW08A462 MW08A480" a="all"><span class="em">P04. Age</span><br />Ask and record the age of each household member. Record age in completed years in the boxes provided; shade the appropriate codes neatly. You should take great care to obtain an accurate answer.<br /><br />For persons who cannot remember their age, try and find from the following documents<br />- Health passport book for children<br />- Baptismal certificate<br />- Passport<br />- <span class="lang">Ulendo wa banja lathu</span><br />- Other records, e.g. a driving license<br /><br />If the above documents cannot be obtained, your last resort is to use the calendar of events given to you. The age of a person is obtained in the column titled "years ago". Do not try to place much reliance on a single event - check the reported year of birth with an event which the person clearly remembers.<br /><br />If the person in question does not know of an appropriate event coinciding exactly with his date of birth, ask him to remember an event which occurred nearer to his date of birth and do some arithmetic to reach his date of birth either backwards or forward depending on whether he/she was born after or before the event.<br /><br />Finally, if everything else fails you can look at the person, check his/her position in relation to his/her siblings (brother/sister) whose ages are known in the family and through common sense establish his/her probable age. Alternatively, you can ask the person to think of his/her age-mates who know their ages, establish their ages and record the same age for him/her. Never leave P04 un-shaded.<br /><br />Note: If the person is 100 years old, record "100" in one box and do not shade.<br /></svar>Malawi 2008: All personsThis variable indicates age flag.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONMalawian (Yes/No) flag<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A411 MW08A412 MW08A463 MW08A464" a="all">P7. What is [the respondent's] nationality?<br /><div class="i1">[] If Malawian, mark here<br /><br />Foreigner: Record the country code _ _ _</div><br /></svar><svar v="MW08A411 MW08A412 MW08A464 MW08A465" a="all"><span class="em">P07. Nationality</span><br />Enquire about the citizenship of each member of the household. You should establish whether the person is a Malawian or not. Mark the first box if the respondent is a Malawian. However if the respondent is not a Malawian, record the code in the appropriate box provided and shade the appropriate box.<br /><br />Example: a person who is a British citizen (UK) should be coded "549". See Appendix B.<br /></svar>Malawi 2008: All personsThis variable indicates the flag for whether the person is Malawian.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONNationality flag<svar v="MW08A499 MW08A500 MW08A003 MW08A403 MW08A405 MW08A460 MW08A478 MW08A406 MW08A461 MW08A479 MW08A407 MW08A408 MW08A481 MW08A482 MW08A483 MW08A480 MW08A462 MW08A410 MW08A411 MW08A412 MW08A463 MW08A464 MW08A413">[Questions P1-P8 were asked of all persons]<br /></svar></p>
<p><svar v="MW08A411 MW08A412 MW08A463 MW08A464" a="all">P7. What is [the respondent's] nationality?<br /><div class="i1">[] If Malawian, mark here<br /><br />Foreigner: Record the country code _ _ _</div><br /></svar><svar v="MW08A411 MW08A412 MW08A464 MW08A465" a="all"><span class="em">P07. Nationality</span><br />Enquire about the citizenship of each member of the household. You should establish whether the person is a Malawian or not. Mark the first box if the respondent is a Malawian. However if the respondent is not a Malawian, record the code in the appropriate box provided and shade the appropriate box.<br /><br />Example: a person who is a British citizen (UK) should be coded "549". See Appendix B.<br /></svar>Malawi 2008: All personsThis variable indicates the nationality flag.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONReligion flag<svar v="MW08A414 MW08A465" a="all">P9. What is [the respondent's] religion?<br /><div class="i1">[] 1 Christian<br />[] 2 Muslim<br />[] 3 Other<br />[] 4 No religion</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v="MW08A414 MW08A465" a="all"><span class="em">P09. Religion</span><br />Ask respondents about the type of religion. There are cases when a child's religion is not known. If the husband and his wife belong to different religions, you should assign the child the religion of the mother. If both parents belong to the same religion then consider the child as belonging to their religion too. Shade the appropriate code of religion of each person in the household.<br /><br />Example: If the Religion is Christian, it should be assigned code 3.<br /></svar>Malawi 2008: All personsThis variable indicates the religion flag.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONTribe flag<svar v="MW08A415 MW08A466 MW08A496" a="all">P10. What is [the respondent's] tribe?<br /><div class="i1">Code tribe: _ _</div><br /></svar><svar v="MW08A414 MW08A465 MW08A496 MW08A415 MW08A466 MW08A416 MW08A418 MW08A419 MW08A420 MW08A421 MW08A422 MW08A423"><span class="em">Questions for usual members of households</span><br />Questions P09 to P013 should only be asked to the usual members of that household.<br /></svar></p>
<p><svar v=" MW08A496 MW08A415 MW08A466" a="all"><span class="em">P10. Tribe</span><br />Ask for the tribe of the respondent and write the appropriate code in the boxes provided. In a situation where the respondent does not know the tribe of the child because the parents are from different tribes, ask whether they are in the paternal or maternal system. If paternal, take the father's tribe but if maternal, you take the mother's tribe.<br /><br />Example: If the respondent's tribe is Lomwe, write "05" in the space provided and then shade the appropriate digits in the two rows provided. The codes for tribe are provided in Appendix D.<br /></svar>Malawi 2008: All personsThis variable indicates the tribe flag.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONMother alive flagP14. Parental survivorship and residence</p>
<div class="i1">Is [the respondent's] natural mother alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural mother live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Is [the respondent's] natural father alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural father live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A467 MW08A468 MW08A484 MW08A485" a="all"><span class="em">Household members age 18 years or younger</span><br />These questions should be asked for household members age 18 years or younger.<br /><br />P14. Parental survivorship and residence<br />Ask whether the natural mother of the respondent is alive.<br /><br />Make sure that the mother referred to in this case is the real or biological mother (<span class="lang">"mayi ake omubereka"</span>). A foster parent referred to as "mother" in Malawi Custom just because she is the real mother's sister should be coded as "2". You should therefore probe to find out if the mother is the biological mother of the person referred to. If the natural mother is still alive, ask if she stays in this household.<br /><br />Ask whether the natural father of the respondent is alive.<br /><br />Make sure that the father referred to in this case is the real or biological father (<span class="lang">"bambo ake omubereka"</span>). A foster parent referred to as "father" in Malawi custom just because he is the real father's brother should be coded as "2". You should therefore probe to find out if the father is the biological father. If the natural father is still alive, ask if he stays in this household.<br /></svar>Malawi 2008: All personsThis variable indicates the flag for whether the mother is still alive.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONFather alive flagP14. Parental survivorship and residence</p>
<div class="i1">Is [the respondent's] natural mother alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural mother live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Is [the respondent's] natural father alive?</div><div class="i2">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><div class="i1">If alive, does [the respondent's] natural father live in this household?</div><div class="i2">[] 1 Yes<br />[] 2 No</div><svar v="MW08A424 MW08A425 MW08A426 MW08A427 MW08A467 MW08A468 MW08A484 MW08A485" a="all"><span class="em">Household members age 18 years or younger</span><br />These questions should be asked for household members age 18 years or younger.<br /><br />P14. Parental survivorship and residence<br />Ask whether the natural mother of the respondent is alive.<br /><br />Make sure that the mother referred to in this case is the real or biological mother (<span class="lang">"mayi ake omubereka"</span>). A foster parent referred to as "mother" in Malawi Custom just because she is the real mother's sister should be coded as "2". You should therefore probe to find out if the mother is the biological mother of the person referred to. If the natural mother is still alive, ask if she stays in this household.<br /><br />Ask whether the natural father of the respondent is alive.<br /><br />Make sure that the father referred to in this case is the real or biological father (<span class="lang">"bambo ake omubereka"</span>). A foster parent referred to as "father" in Malawi custom just because he is the real father's brother should be coded as "2". You should therefore probe to find out if the father is the biological father. If the natural father is still alive, ask if he stays in this household.<br /></svar>Malawi 2008: All personsThis variable indicates the flag for whether the father is still alive.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONMarital status flag<svar v="MW08A449 MW08A450 MW08A486 MW08A487"> [Questions P28-P29 were asked of residents age 12 years or older]<br /></svar></p>
<p><svar v="MW08A449 MW08A469 MW08A486" a="all">P28. What is [the respondent's] marital status?<br /><div class="i1">[] 1 Never married (go to P30)<br />[] 2 Married<br />[] 3 Divorced / separated<br />[] 4 Widowed</div><br /></svar><svar v="MW08A449 MW08A469 MW08A486 MW08A450 MW08A487"><span class="em">Questions to be asked of usual residents age 12 years or older</span><br />[Questions P28-P29 were asked of usual residents age 12 years or older]<br /></svar></p>
<p><svar v="MW08A449 MW08A469 MW08A486" a="all"><span class="em">P28. Marital status</span><br />Record 2 if "Married" or not legally married but live together as husband and wife. Record 3 if "Divorced/separated": separated legally from his/her partner/living separately from his/her spouse without legal sanction. Record 4 if "Widowed": a person whose spouse passed away and not currently in marriage.<br /><br />If "Never married" (code 1), skip to P30.<br /></svar>Malawi 2008: All personsThis variable indicates the marital status flag.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONMale children ever born flag<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all">P30. How many children were born alive to [the respondent]?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all"><span class="em">P30. Number of children ever born alive</span><br />Ask the respondent the number of children she has ever born alive ("Born alive" means that they must have shown a sign of life, e.g. crying at birth) during her lifetime. Enter the number of males in the first box and females in the second box and then shade the appropriate digits.<br /><br />If there are more than 9 females or males, just write 9.<br /><br />If the respondent has never had children in her lifetime, write 0 in the "Male" box and 0 in the "Female" box.<br /><br />The number should be written irrespective of whether children born to the woman are no longer staying with her and may be dead but they were born alive.<br /></svar>Malawi 2008: All personsThis variable indicates the flag for male children ever born.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONFemale children ever born flag<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all">P30. How many children were born alive to [the respondent]?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all"><span class="em">P30. Number of children ever born alive</span><br />Ask the respondent the number of children she has ever born alive ("Born alive" means that they must have shown a sign of life, e.g. crying at birth) during her lifetime. Enter the number of males in the first box and females in the second box and then shade the appropriate digits.<br /><br />If there are more than 9 females or males, just write 9.<br /><br />If the respondent has never had children in her lifetime, write 0 in the "Male" box and 0 in the "Female" box.<br /><br />The number should be written irrespective of whether children born to the woman are no longer staying with her and may be dead but they were born alive.<br /></svar>Malawi 2008: All personsThis variable indicates the flag for female children ever born.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONMale children surviving flag<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A494 MW08A495 MW08A502" a="all">P31. Among those children, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P31. Number of children still alive</span>
<br />Write the number of boys and girls in the boxes, provided that they are still alive. Then, shade digits as appropriate.</p>
<p>Note: From children born alive, indicate the total number even if they are staying somewhere else.Malawi 2008: All personsThis variable indicates the flag for male children still surviving.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONFemale children surviving flag<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A494 MW08A495 MW08A502" a="all">P31. Among those children, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P31. Number of children still alive</span>
<br />Write the number of boys and girls in the boxes, provided that they are still alive. Then, shade digits as appropriate.</p>
<p>Note: From children born alive, indicate the total number even if they are staying somewhere else.Malawi 2008: All personsThis variable indicates the flag for female children still surviving.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONMales born last year flag<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A456 MW08A457 MW08A474 MW08A475 MW08A492 MW08A493 MW08A503" a="all">P32. How many live births during the last 12 months?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P32. Live births in the last 12 months</span>
<br />Ask for live births that have been born in the last 12 months or since June 2007. Write the number of live births by sex in the space provided and shade the appropriate digits.Malawi 2008: All personsThis variable indicates the flag for males born last year.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONFemales born last year flag<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A456 MW08A457 MW08A474 MW08A475 MW08A492 MW08A493 MW08A503" a="all">P32. How many live births during the last 12 months?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P32. Live births in the last 12 months</span>
<br />Ask for live births that have been born in the last 12 months or since June 2007. Write the number of live births by sex in the space provided and shade the appropriate digits.Malawi 2008: All personsThis variable indicates the flag for females born last year.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONMales born last year surviving flag<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A504" a="all">P33. Among those children born in the last 12 months, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504" a="all"><span class="em">P33. Number of children still alive</span><br />Of the number of births born alive in the last 12 months, record how many are still alive. Write the number of boys and girls in the boxes provided. Then, shade the digits as appropriate.<br /><br />Important: You should make sure that you do not leave any columns from P30 to P33 blank for any woman aged 12 years or more. For instance, where a woman has reported having no children ever born alive in column P30, you should record zero(s) in the boxes but do not leave any of the boxes blank.<br /><br />While probing for this information, make sure that the woman does not exclude any of her children who might have died shortly after birth, as long as they were born alive. Furthermore, any of her children who might have died at any other age are to be recorded. However, ensure that still births: that is, the births which did not show any signs of life, are not included.<br /></svar>Malawi 2008: All personsThis variable indicates the flag for males born last year that are still alive.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONFemales born last year surviving flag<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A504" a="all">P33. Among those children born in the last 12 months, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504" a="all"><span class="em">P33. Number of children still alive</span><br />Of the number of births born alive in the last 12 months, record how many are still alive. Write the number of boys and girls in the boxes provided. Then, shade the digits as appropriate.<br /><br />Important: You should make sure that you do not leave any columns from P30 to P33 blank for any woman aged 12 years or more. For instance, where a woman has reported having no children ever born alive in column P30, you should record zero(s) in the boxes but do not leave any of the boxes blank.<br /><br />While probing for this information, make sure that the woman does not exclude any of her children who might have died shortly after birth, as long as they were born alive. Furthermore, any of her children who might have died at any other age are to be recorded. However, ensure that still births: that is, the births which did not show any signs of life, are not included.<br /></svar>Malawi 2008: All personsThis variable indicates the flag for females born last year that are still alive.0No imputation1Logical imputation (from blank)2Logical imputation (non-blank)3Hot deck imputation (from blank)4Hot deck imputation (non-blank)Person Imputation Flags Variables -- PERSONChildren ever born<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all">P30. How many children were born alive to [the respondent]?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501" a="all"><span class="em">P30. Number of children ever born alive</span><br />Ask the respondent the number of children she has ever born alive ("Born alive" means that they must have shown a sign of life, e.g. crying at birth) during her lifetime. Enter the number of males in the first box and females in the second box and then shade the appropriate digits.<br /><br />If there are more than 9 females or males, just write 9.<br /><br />If the respondent has never had children in her lifetime, write 0 in the "Male" box and 0 in the "Female" box.<br /><br />The number should be written irrespective of whether children born to the woman are no longer staying with her and may be dead but they were born alive.<br /></svar>Malawi 2008: Non-visitor females age 12+ [discrepancies: type I trace; type II trace]This variable indicates the total number of children ever born the person.00001102203304405506607708809910101111121213131414151516161717+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren surviving<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A494 MW08A495 MW08A502" a="all">P31. Among those children, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P31. Number of children still alive</span>
<br />Write the number of boys and girls in the boxes, provided that they are still alive. Then, shade digits as appropriate.</p>
<p>Note: From children born alive, indicate the total number even if they are staying somewhere else.Malawi 2008: Non-visitor females age 12+ [discrepancies: type I trace; type II trace]This variable indicates the total number of children born to the person who are still alive.0000110220330440550660770880991010111112121313+98Unknown99NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren born last year<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A456 MW08A457 MW08A474 MW08A475 MW08A492 MW08A493 MW08A503" a="all">P32. How many live births during the last 12 months?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><span class="em">P32. Live births in the last 12 months</span>
<br />Ask for live births that have been born in the last 12 months or since June 2007. Write the number of live births by sex in the space provided and shade the appropriate digits.Malawi 2008: Non-visitor females age 12+ [discrepancies: type I trace; type II trace]This variable indicates the total number of children born to the person last year.00112233448Unknown9NIU (not in universe)Fertility and Mortality Variables -- PERSONChildren born last year surviving<svar v="MW08A452 MW08A453 MW08A454 MW08A455 MW08A456 MW08A457 MW08A458 MW08A459"> [Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A504" a="all">P33. Among those children born in the last 12 months, how many are still alive?<br /><div class="i1">Male _<br />Female _</div><br /></svar><svar v="MW08A451 MW08A452 MW08A453 MW08A470 MW08A471 MW08A488 MW08A489 MW08A501 MW08A454 MW08A455 MW08A472 MW08A473 MW08A490 MW08A491 MW08A502 MW08A456 MW08A452 MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504"><span class="em">Questions for women age 12 years or older (birth details)</span><br />[Questions P30-P33 were asked of women age 12 years or older]<br /></svar></p>
<p><svar v="MW08A458 MW08A459 MW08A476 MW08A477 MW08A494 MW08A495 MW08A504" a="all"><span class="em">P33. Number of children still alive</span><br />Of the number of births born alive in the last 12 months, record how many are still alive. Write the number of boys and girls in the boxes provided. Then, shade the digits as appropriate.<br /><br />Important: You should make sure that you do not leave any columns from P30 to P33 blank for any woman aged 12 years or more. For instance, where a woman has reported having no children ever born alive in column P30, you should record zero(s) in the boxes but do not leave any of the boxes blank.<br /><br />While probing for this information, make sure that the woman does not exclude any of her children who might have died shortly after birth, as long as they were born alive. Furthermore, any of her children who might have died at any other age are to be recorded. However, ensure that still births: that is, the births which did not show any signs of life, are not included.<br /></svar>Malawi 2008: Non-visitor females age 12+ [discrepancies: type I trace; type II trace]This variable indicates the total number of children born to the person last year who are still alive.00112233448Unknown9NIU (not in universe)Fertility and Mortality Variables -- PERSON