DDI_IND_1999_NSS55-SCH10_v01_M_v03_A_IPUMS Minnesota Population Center 2016-04-25 NADA Version 6.4 (April 2016): Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata. The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata. Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4. Previous version documented in the World Bank Microdata Library: - v6.3 (August 2014) Socio-Economic Survey, Household Schedule 10: Employment and Unemployment July, 1999-June, 2000 - IPUMS Subset NSS55-SCH10 1999 (IPUMS Harmonized Subset) IND_1999_NSS55-SCH10_v01_M_v03_A_IPUMS National Sample Survey Organization, Government of India Minnesota Population Center (c) Copyright 1999, National Sample Survey Organization, Government of India and Minnesota Population Center NADA National Sample Survey Organization, Government of India Population and Housing Census [hh/popcen] Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming. In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries. Technical Household Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Technical Person Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Demographic Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Income Variables -- PERSON Migration Variables -- PERSON Disability Variables -- PERSON Geography: A-L Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Other Person Variables -- PERSON Work: Industry Variables -- PERSON Work: Occupation Variables -- PERSON Ethnicity and Language Variables -- PERSON IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. India National coverage Region Household, enterprise UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: No - Special populations: Persons without any normal residence, foreign nationals, and people in barracks of military and para-military forces, orphanages, rescue homes, ashram and vagrant houses are not covered by survey. UNIT DESCRIPTIONS: - Households: A group of persons normally living together and taking food from a common kitchen will constitute a household. The members of a household may or may not be related by blood to one another. All population in India, except for foreigners, the homeless, or people in barracks of military and para-military forces, orphanages, rescue homes, ashram, and vagrant houses. Census/enumeration data [cen] MICRODATA SOURCE: National Sample Survey Organization, Government of India SAMPLE DESIGN: Two-stage, stratified samples drawn by the country, coupled with rotation sampling scheme for the central sample. (1) Stage 1: In the central sample, 10,384 first stage units (rural and urban combined) were selected from stratified states in proportion to poluation. Among them, 3,900 of which were revisted. (2) Stage 2: households and enterprises were selected from second-stage strata(hamlet-groups or sub-blocks) by circular systematic sampling with equal probability. (3) Under the rotation sampling scheme which was adopted for the first time in the National Sample Survey, 50% of the sample first stage units in the central sample were revisited in the subsequent three-month period. In state samples, the first stage units were only visited once. SAMPLE UNIT: Household SAMPLE FRACTION: .07% SAMPLE SIZE (person records): 596,688 Face-to-face [f2f] A single form that consists of 8 sections: 1) identification of sample household, 2) household characteristics, 3) demographic and migration particulars, 4) usual principal activity, 5) subsidiary activity, 6) current work activity during the preceding week, 5) follow-up questions for the unemployed, 6) availability for work to working persons, 7) job change of working persons, and 8) questions for females. De jure, CENSUS DAY: July 1999 to June 2000, FIELD WORK PERIOD: One-year period from July 1st, 1999 to June 30th, 2000. Field work was spread out uniformly over different weeks or months within each of the three-month subround period. Direct interview Weights calculated by the NSSO based on probability of selection at both levels COVERAGE: 100% of the Indian Union excepting (1) Ladakh and Kargil districts of Jammu and Kashmir, (2) interior villages of Nagaland situated beyond 5 kms. of a bus route, and (3) villages of Andaman and Nicobar Islands remaining inaccessible throughout the year. Also excluded were all the uninhabited villages according to 1991 census. 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. IPUMS International Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [dataset]. Minneapolis: University of Minnesota, 2015. http://doi.org/10.18128/D020.V6.4. Researchers should also acknowledge the statistical agency that originally produced the data: India, National Sample Survey Organization, Government of India, Socio-Economic Survey, Household Schedule 10: Employment and Unemployment, July, 1999-June, 2000 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. IND1999-H-H Household records 0 48 IND1999-P-H Person records 0 106 Record type Record type Record type Record type Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. RECTYPE is a 1-digit alphabetic (non-numeric) variable. H = Household record P = Person record IPUMS Year Year Year Year Year 1960 1960 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 YEAR gives the year in which the census was taken. IPUMS IPUMS sample identifier IPUMS sample identifier IPUMS sample identifier IPUMS sample identifier IPUMS sample identifier 32197001 Argentina 1970 32199101 Argentina 1991 32200101 Argentina 2001 32201001 Argentina 2010 32219801 Argentina 1980 40197101 Austria 1971 40198101 Austria 1981 40199101 Austria 1991 40200101 Austria 2001 40201101 Austria 2011 50199101 Bangladesh 1991 50200101 Bangladesh 2001 50201101 Bangladesh 2011 51200101 Armenia 2001 51201101 Armenia 2011 68197601 Bolivia 1976 68199201 Bolivia 1992 68200101 Bolivia 2001 76196001 Brazil 1960 76197001 Brazil 1970 76198001 Brazil 1980 76199101 Brazil 1991 76200001 Brazil 2000 76201001 Brazil 2010 112199901 Belarus 1999 116199801 Cambodia 1998 116200801 Cambodia 2008 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 156198201 China 1982 156199001 China 1990 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 275199701 Palestine 1997 275200701 Palestine 2007 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 324198301 Guinea 1983 324199601 Guinea 1996 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 368199701 Iraq 1997 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 380200101 Italy 2001 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 496198901 Mongolia 1989 496200001 Mongolia 2000 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 508199701 Mozambique 1997 508200701 Mozambique 2007 524200101 Nepal 2001 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 646199101 Rwanda 1991 646200201 Rwanda 2002 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 694200401 Sierra Leone 2004 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 728200801 South Sudan 2008 729200801 Sudan 2008 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 804200101 Ukraine 2001 818199601 Egypt 1996 818200601 Egypt 2006 826199101 United Kingdom 1991 826200101 United Kingdom 2001 834198801 Tanzania 1988 834200201 Tanzania 2002 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 858196301 Uruguay 1963 858197501 Uruguay 1975 858198501 Uruguay 1985 858199601 Uruguay 1996 858200621 Uruguay 2006 858201101 Uruguay 2011 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). IPUMS Household serial number Household serial number Household serial number Household serial number Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002 Colombia 1993, 2005 Costa Rica 1984, 2000 Cuba 2002 Dominican Republic 1981, 2002, 2010 Ecuador 1990, 2001 Germany 1971 Hungary 1980, 1990, 2001 Jamaica 1982, 1991, 2001 Malaysia 1970, 1991, 2000 Mexico 1995, 1990, 2000, 2005 Nigeria 2006 Panama 2000 Peru 1993, 2007 Portugal 1981, 1991, 2001 Spain 1991 Uruguay 2011 Venezuela 1990, 2001 Vietnam 1989 In 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. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. IPUMS Number of person records in the household Number of person records in the household Number of person records in the household Number of person records in the household Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 3-digit numeric variable. IPUMS Subsample number Subsample number Subsample number Subsample number Subsample number 1st 1% subsample 1 2nd 1% subsample 2 3rd 1% subsample 3 4th 1% subsample 4 5th 1% subsample 5 6th 1% subsample 6 7th 1% subsample 7 8th 1% subsample 8 9th 1% subsample 9 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. IPUMS Group quarters (collective dwelling) status Group quarters (collective dwelling) status Group quarters (collective dwelling) status Group quarters (collective dwelling) status Group quarters (collective dwelling) status Vacant 10 Households 20 Group quarters, n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. IPUMS Number of unrelated persons Number of unrelated persons Number of unrelated persons Number of unrelated persons Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head. IPUMS Urban-rural status Urban-rural status Urban-rural status Urban-rural status Urban-rural status 1 Rural 2 Urban 9 Unknown URBAN indicates whether the household was located in a place designated as urban or as rural. IPUMS Continent and region of country Continent and region of country Continent and region of country Continent and region of country Continent and region of country 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia REGIONW identifies the continent and region of each country. IPUMS Household classification Household classification Household classification Household classification Household classification Vacant household 1 One-person household 2 Married/cohab couple, no children 3 Married/cohab couple with children 4 Single-parent family 5 Polygamous family 6 Extended family, relatives only 7 Composite household, family and non-relatives 8 Non-family household 9 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. IPUMS Number of families in household Number of families in household Number of families in household Number of families in household Number of families in household Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families NFAMS is a constructed variable that indicates the number of families within each household. 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 her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. IPUMS Head's location in household Head's location in household Head's location in household Head's location in household Head's location in household HEADLOC gives the person number of the head of household in samples in which persons are organized into households. This is a 3-digit numeric variable with 0 implied decimal places IPUMS 1st subnational geographic level, world [consistent boundaries over time] 1st subnational geographic level, world [consistent boundaries over time] 1st subnational geographic level, world [consistent boundaries over time] 1st subnational geographic level, world [consistent boundaries over time] 1st subnational geographic level, world [consistent boundaries over time] 32002 City of Buenos Aires [Province: Argentina] 32006 Buenos Aires province [Province: Argentina] 32010 Catamarca [Province: Argentina] 32014 Córdoba [Province: Argentina] 32018 Corrientes [Province: Argentina] 32022 Chaco [Province: Argentina] 32026 Chubut [Province: Argentina] 32030 Entre Ríos [Province: Argentina] 32034 Formosa [Province: Argentina] 32038 Jujuy [Province: Argentina] 32042 La Pampa [Province: Argentina] 32046 La Rioja [Province: Argentina] 32050 Mendoza [Province: Argentina] 32054 Misiones [Province: Argentina] 32058 Neuquén [Province: Argentina] 32062 Río Negro [Province: Argentina] 32066 Salta [Province: Argentina] 32070 San Juan [Province: Argentina] 32074 San Luis [Province: Argentina] 32078 Santa Cruz [Province: Argentina] 32082 Santa Fe [Province: Argentina] 32086 Santiago del Estero [Province: Argentina] 32090 Tucumán [Province: Argentina] 32094 Tierra del Fuego [Province: Argentina] 32099 Unknown [Province: Argentina] 40011 Burgenland [State: Austria] 40012 Niederösterreich [State: Austria] 40013 Wien [State: Austria] 40021 Kärnten [State: Austria] 40022 Steiermark [State: Austria] 40031 Oberösterreich [State: Austria] 40032 Salzburg [State: Austria] 40033 Tirol [State: Austria] 40034 Vorarlberg [State: Austria] 50010 Barisal [Division, Bangladesh] 50020 Chittagong [Division, Bangladesh] 50030 Dhaka [Division, Bangladesh] 50040 Khulna [Division, Bangladesh] 50050 Rajshahi, Rangpur [Division, Bangladesh] 50060 Sylhet [Division, Bangladesh] 51901 Yerevan [Province: Armenia] 51902 Aragatsotn [Province: Armenia] 51903 Ararat [Province: Armenia] 51904 Armavir [Province: Armenia] 51905 Gegharkunik [Province: Armenia] 51906 Lori [Province: Armenia] 51907 Kotayk [Province: Armenia] 51908 Shirak [Province: Armenia] 51909 Syunik [Province: Armenia] 51910 Vayots Dzor [Province: Armenia] 51911 Tavush [Province: Armenia] 68001 Chuquisaca [Department: Bolivia] 68002 La Paz [Department: Bolivia] 68003 Cochabamba [Department: Bolivia] 68004 Oruro [Department: Bolivia] 68005 Potosí [Department: Bolivia] 68006 Tarija [Department: Bolivia] 68007 Santa Cruz [Department: Bolivia] 68008 Beni [Department: Bolivia] 68009 Pando [Department: Bolivia] 76011 Rondonia [State: Brazil] 76012 Acre [State: Brazil] 76013 Amazonas [State: Brazil] 76014 Roraima [State: Brazil] 76015 Pará [State: Brazil] 76016 Amapa [State: Brazil] 76021 Maranhao [State: Brazil] 76022 Piauí [State: Brazil] 76023 Ceará [State: Brazil] 76024 Rio Grande do Norte [State: Brazil] 76025 Paraiba [State: Brazil] 76026 Pernambuco [State: Brazil] 76027 Alagoas [State: Brazil] 76028 Sergipe [State: Brazil] 76029 Bahia [State: Brazil] 76031 Minas Gerais [State: Brazil] 76032 Espírito Santo [State: Brazil] 76033 Rio de Janeiro [State: Brazil] 76035 São Paulo [State: Brazil] 76041 Parana [State: Brazil] 76042 Santa Catarina [State: Brazil] 76043 Rio Grande do Sul [State: Brazil] 76051 Mato Grosso, Mato Grosso do Sul [State: Brazil] 76052 Goiás and Tocantins [State: Brazil] 76053 Distrito Federal [State: Brazil] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk [Region: Belarus] 112007 Mogilev [Region: Belarus] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Kandal [Province: Cambodia] 116009 Koh Kong [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116012 Phnom Penh [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Rotanak Kiri [Province: Cambodia] 116017 Siem Reap and Otdar Meanchey [Province: Cambodia] 116018 Preah Sihanouk [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua , Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 124010 Newfoundland and Labrador [Province: Canada] 124011 Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada] 124012 Nova Scotia [Province: Canada] 124013 New Brunswick [Province: Canada] 124024 Quebec [Province: Canada] 124035 Ontario [Province: Canada] 124046 Manitoba [Province: Canada] 124047 Saskatchewan [Province: Canada] 124048 Alberta [Province: Canada] 124059 British Columbia [Province: Canada] 152002 Antofagasta and Tarapacá [Region: Chile] 152004 Atacama and Coquimbo [Region: Chile] 152007 Del Maule [Region: Chile] 152008 Del Biobio [Region: Chile] 152009 La Araucanía [Region: Chile] 152010 Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile] 152012 Magallanes and La Antártica Chilena [Region: Chile] 152013 Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile] 152099 Unknown [Region: Chile] 156011 Beijing (municipality) [Province: China] 156012 Tianjin (municipality) [Province: China] 156013 Hebei [Province: China] 156014 Shanxi [Province: China] 156015 Inner Mongolia [Province: China] 156021 Liaoning [Province: China] 156022 Jilin [Province: China] 156023 Heilongjiang [Province: China] 156031 Shanghai (municipality) [Province: China] 156032 Jiangsu [Province: China] 156033 Zhejiang [Province: China] 156034 Anhui [Province: China] 156035 Fujian [Province: China] 156036 Jiangxi [Province: China] 156037 Shangdong [Province: China] 156041 Henan [Province: China] 156042 Hubei [Province: China] 156043 Hunan [Province: China] 156044 Guangdong and Hainan [Province: China] 156045 Guangxi [Province: China] 156051 Sichuan [Province: China] 156052 Guizhou [Province: China] 156053 Yunnan [Province: China] 156054 Tibet [Province: China] 156061 Shaanxi [Province: China] 156062 Gansu [Province: China] 156063 Qinghai [Province: China] 156064 Ningxia [Province: China] 156065 Xinjiang [Province: China] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá [Department: Colombia] 170013 Bolívar and Sucre [Department: Colombia] 170015 Boyacá and Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170025 Cundinamarca [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170047 Cesar and Magdalena [Department: Colombia] 170050 Meta and Vichada [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Norte de Santander [Department: Colombia] 170066 Caldas, Quindío, and Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 San Andrés [Department: Colombia] 170091 Amazonas [Department: Colombia] 170095 Guaviare, Vaupés, and Guainía [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 192001 Pinar del Río [Province: Cuba] 192002 La Habana [Province: Cuba] 192003 Ciudad de la Habana [Province: Cuba] 192004 Matanzas [Province: Cuba] 192005 Villa Clara [Province: Cuba] 192006 Cienfuegos [Province: Cuba] 192007 Sancti Spiritus [Province: Cuba] 192008 Ciego de Avila [Province: Cuba] 192009 Camagüey [Province: Cuba] 192010 Las Tunas [Province: Cuba] 192011 Holguín [Province: Cuba] 192012 Granma [Province: Cuba] 192013 Santiago de Cuba [Province: Cuba] 192014 Guantánamo [Province: Cuba] 192099 Isla de la Juventud [Province: Cuba] 214001 Federal district and Santo Domingo [Province: Dominican Republic] 214002 Azua [Province: Dominican Republic] 214003 Baoruco [Province: Dominican Republic] 214004 Barahona [Province: Dominican Republic] 214005 Dajabón [Province: Dominican Republic] 214006 Duarte [Province: Dominican Republic] 214007 Elías Piña [Province: Dominican Republic] 214008 El Seibo and Hato Mayor [Province: Dominican Republic] 214009 Espaillat [Province: Dominican Republic] 214010 Independencia [Province: Dominican Republic] 214011 La Altagracia and La Romana [Province: Dominican Republic] 214013 La Vega and Monseñor Nouel [Province: Dominican Republic] 214014 María Trinidad Sánchez and Samaná [Province: Dominican Republic] 214015 Monte Cristi [Province: Dominican Republic] 214016 Pedernales [Province: Dominican Republic] 214017 Peravia and San José de Ocoa [Province: Dominican Republic] 214018 Puerto Plata [Province: Dominican Republic] 214019 Hermanas Mirabal [Province: Dominican Republic] 214021 San Cristóbal and Monte Plata [Province: Dominican Republic] 214022 San Juan [Province: Dominican Republic] 214023 San Pedro de Macorís [Province: Dominican Republic] 214024 Sánchez Ramírez [Province: Dominican Republic] 214025 Santiago [Province: Dominican Republic] 214026 Santiago Rodríguez [Province: Dominican Republic] 214027 Valverde [Province: Dominican Republic] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero 218010 Imbabura, Las Golondrinas [Disputed canton] [Disputed canton] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218099 Unknown [Province: Ecuador] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromiya [Region: Ethiopia] 231005 Somali [Region: Ethiopia] 231006 Benishangul-Gumz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231017 Special region [Region: Ethiopia] 238094 Falkland Islands [Province: Argentina] 239094 South Georgia and South Sandwich Islands [Province: Argentina] 242001 Ba [Province: Fiji] 242003 Bua, Cakaudrove [Province: Fiji] 242006 Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji] 242007 Macuata [Province: Fiji] 242008 Nadroha [Province: Fiji] 242009 Naitasiri, Rewa [Province: Fiji] 242011 Ra [Province: Fiji] 242014 Serua, Namosi [Province: Fiji] 242015 Tailevu [Province: Fiji] 242099 Ships, unknown [Province: Fiji] 250001 Guadeloupe [Oversea Department, France] 250002 Martinique [Oversea Department, France] 250003 French Guyana [Oversea Department, France] 250004 Réunion Island [Oversea Department, France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250999 Unknown [Region: France] 275001 Jenin [Governorate: Palestine] 275005 Tubas [Governorate: Palestine] 275010 Tulkarm [Governorate: Palestine] 275015 Nablus [Governorate: Palestine] 275020 Qalqiliya [Governorate: Palestine] 275025 Salfit [Governorate: Palestine] 275030 Ramallah and Al-Bireh [Governorate: Palestine] 275035 Jericho [Governorate: Palestine] 275040 Jerusalem [Governorate: Palestine] 275045 Bethlehem [Governorate: Palestine] 275050 Hebron [Governorate: Palestine] 275055 North Gaza [Governorate: Palestine] 275060 Gaza [Governorate: Palestine] 275065 Deir Al-Balah [Governorate: Palestine] 275070 Khan Yunis [Governorate: Palestine] 275075 Rafah [Governorate: Palestine] 276001 Schleswig-Holstein [State: Germany] 276002 Hamburg [State: Germany] 276003 Niedersachsen [State: Germany] 276004 Bremen [State: Germany] 276005 Nordrhein-Westfalen [State: Germany] 276006 Hessen [State: Germany] 276007 Rheinland-Pfalz [State: Germany] 276008 Baden-Württemberg [State: Germany] 276009 Bayern [State: Germany] 276010 Saarland [State: Germany] 276012 Brandenburg [State: Germany] 276013 Mecklenburg-West Pomerania [State: Germany] 276014 Saxony [State: Germany] 276015 Saxony-Anhalt [State: Germany] 276016 Thuringia [State: Germany] 276017 East Berlin [State: Germany] 276018 West Berlin [State: Germany] 276099 NIU (Not in universe) [State: Germany] 288001 Western [Region: Ghana] 288002 Central [Region: Ghana] 288003 Greater Accra [Region: Ghana] 288004 Volta [Region: Ghana] 288005 Eastern [Region: Ghana] 288006 Ashanti [Region: Ghana] 288007 Brong Ahafo [Region: Ghana] 288008 Northern [Region: Ghana] 288009 Upper East [Region: Ghana] 288010 Upper West [Region: Ghana] 300001 Etolia and Akarnania [Department: Greece] 300003 Viotia [Department: Greece] 300004 Evia [Department: Greece] 300005 Evrytania [Department: Greece] 300006 Fthiotida [Department: Greece] 300007 Fokida [Department: Greece] 300011 Argolida [Department: Greece] 300012 Arkadia [Department: Greece] 300013 Achaia [Department: Greece] 300014 Ilia [Department: Greece] 300015 Korinthia [Department: Greece] 300016 Lakonia [Department: Greece] 300017 Messinia [Department: Greece] 300021 Zakynthos [Department: Greece] 300022 Kerkyra [Department: Greece] 300023 Kefallinia [Department: Greece] 300024 Lefkada [Department: Greece] 300031 Arta [Department: Greece] 300032 Thesprotia [Department: Greece] 300033 Ioannina [Department: Greece] 300034 Preveza [Department: Greece] 300041 Karditsa [Department: Greece] 300042 Larissa [Department: Greece] 300043 Magnissia [Department: Greece] 300044 Trikala [Department: Greece] 300051 Grevena [Department: Greece] 300052 Drama [Department: Greece] 300053 Imathia [Department: Greece] 300054 Thessaloniki [Department: Greece] 300055 Kavala [Department: Greece] 300056 Kastoria [Department: Greece] 300057 Kilkis [Department: Greece] 300058 Kozani [Department: Greece] 300059 Pella [Department: Greece] 300061 Pieria [Department: Greece] 300062 Serres [Department: Greece] 300063 Florina [Department: Greece] 300064 Chalkidiki and Aghion Oros [Department: Greece] 300071 Evros [Department: Greece] 300072 Xanthi [Department: Greece] 300073 Rodopi [Department: Greece] 300081 Dodekanissos [Department: Greece] 300082 Kyklades [Department: Greece] 300083 Lesvos [Department: Greece] 300084 Samos [Department: Greece] 300085 Chios [Department: Greece] 300091 Iraklio [Department: Greece] 300092 Lassithi [Department: Greece] 300093 Rethymno [Department: Greece] 300094 Chania [Department: Greece] 300101 Prefecture of Athens [Department: Greece] 300102 Prefecture of East Attiki [Department: Greece] 300103 Prefecture of West Attiki [Department: Greece] 300104 Prefecture of Pireas [Department: Greece] 324001 Boké [Region: Guinea] 324002 Faranah [Region: Guinea] 324003 Kankan [Region: Guinea] 324004 Kindia, Labe, Mamou [Region: Guinea] 324007 N'zerekore [Region: Guinea] 324008 Conakry [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh and Uttaranchal [State: India] 356010 Bihar and Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Chhattisgarh and Madhya Pradesh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Daman and Diu and Goa [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Riau and Kepulauan Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Sumatera Selatan and Bangka Belitung [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 West Java and Banten [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 East Nusa Tenggara [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Sulawesi Utara and Gorontalo [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia] 360081 Maluku and Maluku Utara [Province: Indonesia] 360094 Papua and Papua Barat [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Khorasan-e- Razavi [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 368011 Dhok [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Al-Sulaimaniya [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Arbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 372001 Border [Region: Ireland] 372002 Dublin [Region: Ireland] 372003 Mid-East [Region: Ireland] 372004 Midlands [Region: Ireland] 372005 Mid-West [Region: Ireland] 372006 South-East [Region: Ireland] 372007 South-West [Region: Ireland] 372008 West [Region: Ireland] 376001 Jerusalem [District: Israel] 376002 Northern [District: Israel] 376003 Haifa [District: Israel] 376004 Central [District: Israel] 376005 Tel-Aviv [District: Israel] 376006 Southern [District: Israel] 376009 Judea, Samaria, and Gaza areas [District: Israel] 380001 Piemonte-Valle d'Aosta [Region: Italy] 380003 Lombardia [Region: Italy] 380004 Trentino-Alto Adige [Region: Italy] 380005 Veneto [Region: Italy] 380006 Friuli-Venezia Giulia [Region: Italy] 380007 Liguria [Region: Italy] 380008 Emilia-Romagna [Region: Italy] 380009 Toscana [Region: Italy] 380010 Umbria [Region: Italy] 380011 Marche [Region: Italy] 380012 Lazio [Region: Italy] 380013 Abruzzo [Region: Italy] 380014 Molise [Region: Italy] 380015 Campania [Region: Italy] 380016 Puglia [Region: Italy] 380017 Basilicata [Region: Italy] 380018 Calabria [Region: Italy] 380019 Sicilia [Region: Italy] 380020 Sardegna [Region: Italy] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central Province [Province: Kenya] 404003 Coast Province [Province: Kenya] 404004 Eastern Province [Province: Kenya] 404005 North-Eastern Province [Province: Kenya] 404006 Nyanza Province [Province: Kenya] 404007 Rift Valley Province [Province: Kenya] 404008 Western Province [Province: Kenya] 417001 Gorkenesh Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul [Region: Kyrgyz Republic] 417003 Dzhalal-Abad [Region: Kyrgyz Republic] 417004 Naryn [Region: Kyrgyz Republic] 417005 Batken [Region: Kyrgyz Republic] 417006 Oshskaya [Region: Kyrgyz Republic] 417007 Talasskaya [Region: Kyrgyz Republic] 417008 Chuya [Region: Kyrgyz Republic] 430006 Bong [County: Liberia] 430009 Grand Bassa and Rivercess [County: Liberia] 430012 Grand Cape Mount [County: Liberia] 430015 Grand Gedeh and River Gee [County: Liberia] 430021 Lofa and Gbarpolu [County: Liberia] 430027 Maryland and Grand Kru [County: Liberia] 430030 Montserrado, Bomi, and Margibi [County: Liberia] 430033 Nimba [County: Liberia] 430039 Sinoe [County: Liberia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu city [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhota Kota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454313 Mwanza, Neno [District: Malawi] 458001 Johor [State: Malaysia] 458002 Kedah [State: Malaysia] 458003 Kelantan [State: Malaysia] 458004 Melaka [State: Malaysia] 458005 Negeri Sembilan [State: Malaysia] 458006 Pahang [State: Malaysia] 458007 Pulau Pinang [State: Malaysia] 458008 Perak [State: Malaysia] 458009 Perlis [State: Malaysia] 458010 Selangor and Kuala Lumpur Federal Territory [State: Malaysia] 458011 Terengganu [State: Malaysia] 458012 Sabah and Labuan Federal Territory [State: Malaysia] 458013 Sarawak [State: Malaysia] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao and Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466099 Unknown [Region: Mali] 484001 Aguascalientes [State: Meico] 484002 Baja California [State: Meico] 484003 Baja California Sur [State: Meico] 484004 Campeche [State: Meico] 484005 Coahuila [State: Meico] 484006 Colima [State: Meico] 484007 Chiapas [State: Meico] 484008 Chihuahua [State: Meico] 484009 Distrito Federal [State: Meico] 484010 Durango [State: Meico] 484011 Guanajuato [State: Meico] 484012 Guerrero [State: Meico] 484013 Hidalgo [State: Meico] 484014 Jalisco [State: Meico] 484015 México [State: Meico] 484016 Michoacán [State: Meico] 484017 Morelos [State: Meico] 484018 Nayarit [State: Meico] 484019 Nuevo León [State: Meico] 484020 Oaxaca [State: Meico] 484021 Puebla [State: Meico] 484022 Querétaro [State: Meico] 484023 Quintana Roo [State: Meico] 484024 San Luis Potosí [State: Meico] 484025 Sinaloa [State: Meico] 484026 Sonora [State: Meico] 484027 Tabasco [State: Meico] 484028 Tamaulipas [State: Meico] 484029 Tlaxcala [State: Meico] 484030 Veracruz [State: Meico] 484031 Yucatán [State: Meico] 484032 Zacatecas [State: Meico] 496001 Arkhangai [Province: Mongolia] 496002 Bayan-Ölgii [Province: Mongolia] 496003 Bayankhongor [Province: Mongolia] 496004 Bulgan [Province: Mongolia] 496005 Govi-Altai [Province: Mongolia] 496006 Dornogovi [Province: Mongolia] 496007 Dornod [Province: Mongolia] 496008 Dundgovi and Govisumber [Province: Mongolia] 496009 Zavkhan [Province: Mongolia] 496010 Övörkhangai [Province: Mongolia] 496011 Ömnögovi [Province: Mongolia] 496012 Sükhbaatar [Province: Mongolia] 496013 Selenge [Province: Mongolia] 496014 Töv [Province: Mongolia] 496015 Uvs [Province: Mongolia] 496016 Khovd [Province: Mongolia] 496017 Khövsgöl [Province: Mongolia] 496018 Khentii [Province: Mongolia] 496019 Darkhan-Uul [Province: Mongolia] 496020 Ulaanbaatar [Province: Mongolia] 496021 Orkhon [Province: Mongolia] 504001 Oued-Ed-Dahab-Lagouira [Region: Morocco] 504002 Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco] 504003 Guelmin-Es-Samara [Region: Morocco] 504004 Souss-Massa-Draâ [Region: Morocco] 504005 Charb-Chrarda-Béni Hssen [Region: Morocco] 504006 Chaouia-Ouardigha [Region: Morocco] 504007 Marrakech-Tensift-Al Haouz [Region: Morocco] 504008 Oriental [Region: Morocco] 504009 Grand-Casablanca [Region: Morocco] 504010 Rabat-Salé-Zemmour-Zaer [Region: Morocco] 504011 Doukala Abda [Region: Morocco] 504012 Tadla Azilal [Region: Morocco] 504013 Meknès-Tafilalet [Region: Morocco] 504014 Fès-Boulemane [Region: Morocco] 504015 Taza-Al Heiceima-Taounate [Region: Morocco] 504016 Tanger-Tétouan [Region: Morocco] 508001 Niassa [Province: Mozambique] 508002 Cabo Delgado [Province: Mozambique] 508003 Nampula [Province: Mozambique] 508004 Zambézia [Province: Mozambique] 508005 Tete [Province: Mozambique] 508006 Manica [Province: Mozambique] 508007 Sofala [Province: Mozambique] 508008 Inhambane [Province: Mozambique] 508009 Gaza [Province: Mozambique] 508010 Maputo province [Province: Mozambique] 508011 Maputo city [Province: Mozambique] 524001 Mechi [Administrative zone: Nepal] 524002 Koshi [Administrative zone: Nepal] 524003 Sagarmatha [Administrative zone: Nepal] 524004 Janakpur [Administrative zone: Nepal] 524005 Bagmati [Administrative zone: Nepal] 524006 Narayani [Administrative zone: Nepal] 524007 Gandaki [Administrative zone: Nepal] 524008 Dhawalagiri [Administrative zone: Nepal] 524009 Lumbini [Administrative zone: Nepal] 524010 Rapti [Administrative zone: Nepal] 524011 Bheri [Administrative zone: Nepal] 524012 Karnali [Administrative zone: Nepal] 524013 Seti [Administrative zone: Nepal] 524014 Mahakali [Administrative zone: Nepal] 558005 Nueva Segovia [Department: Nicaragua] 558010 Jinotega [Department: Nicaragua] 558020 Madríz [Department: Nicaragua] 558030 Chinandega [Department: Nicaragua] 558035 Leon and Esteli [Department: Nicaragua] 558040 Matagalpa [Department: Nicaragua] 558050 Boaco [Department: Nicaragua] 558055 Managua [Department: Nicaragua] 558060 Masaya [Department: Nicaragua] 558065 Chontales [Department: Nicaragua] 558070 Granada [Department: Nicaragua] 558075 Carazo [Department: Nicaragua] 558080 Rivas [Department: Nicaragua] 558085 Río San Juan [Department: Nicaragua] 558093 Atlántico Norte and Atlántico Sur [Department: Nicaragua] 558099 Unknown [Department: Nicaragua] 566001 Abia [State: Nigeria] 566002 Adamawa [State: Nigeria] 566003 Akwa Ibom [State: Nigeria] 566004 Anambra [State: Nigeria] 566005 Bauchi [State: Nigeria] 566006 Bayelsa [State: Nigeria] 566007 Benue [State: Nigeria] 566008 Borno [State: Nigeria] 566009 Cross River [State: Nigeria] 566010 Delta [State: Nigeria] 566011 Ebonyi [State: Nigeria] 566012 Edo [State: Nigeria] 566013 Ekiti [State: Nigeria] 566014 Enugu [State: Nigeria] 566015 Gombe [State: Nigeria] 566016 Imo [State: Nigeria] 566017 Jigawa [State: Nigeria] 566018 Kaduna [State: Nigeria] 566019 Kano [State: Nigeria] 566020 Katsina [State: Nigeria] 566021 Kebbi [State: Nigeria] 566022 Kogi [State: Nigeria] 566023 Kwara [State: Nigeria] 566024 Lagos [State: Nigeria] 566025 Nasarawa [State: Nigeria] 566026 Niger [State: Nigeria] 566027 Ogun [State: Nigeria] 566028 Ondo [State: Nigeria] 566029 Osun [State: Nigeria] 566030 Oyo [State: Nigeria] 566031 Plateau [State: Nigeria] 566032 Rivers [State: Nigeria] 566033 Sokoto [State: Nigeria] 566034 Taraba [State: Nigeria] 566035 Yobe [State: Nigeria] 566036 Zamfara [State: Nigeria] 566037 Federal Capital Territory Abuja [State: Nigeria] 566099 Unknown [State: Nigeria] 586001 North-West Frontier Province [Province: Pakistan] 586002 Fata [Province: Pakistan] 586003 Punjab, Islamabad [Province: Pakistan] 586004 Sind [Province: Pakistan] 586005 Baluchistan [Province: Pakistan] 586007 Northern areas [Province: Pakistan] 586008 Kashmir [Province: Pakistan] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 600000 Asunción [Department: Paraguay] 600001 Concepción [Department: Paraguay] 600002 San Pedro [Department: Paraguay] 600007 Itapúa [Department: Paraguay] 600008 Misiones and Ñeembucú [Department: Paraguay] 600009 Guairá, Caazapá, and Paraguarí [Department: Paraguay] 600010 Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay] 600011 Central [Department: Paraguay] 600013 Amambay [Department: Paraguay] 600015 Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay] 600099 Unknown [Department: Paraguay] 604001 Amazonas [Region: Peru] 604002 Ancash [Region: Peru] 604003 Apurímac [Region: Peru] 604004 Arequipa [Region: Peru] 604005 Ayacucho [Region: Peru] 604006 Cajamarca [Region: Peru] 604007 Callao [Region: Peru] 604008 Cusco [Region: Peru] 604009 Huancavelica [Region: Peru] 604010 Huánuco [Region: Peru] 604011 Ica [Region: Peru] 604012 Junín [Region: Peru] 604013 La Libertad [Region: Peru] 604014 Lambayeque [Region: Peru] 604015 Lima [Region: Peru] 604016 Loreto [Region: Peru] 604017 Madre de Dios [Region: Peru] 604018 Moquegua [Region: Peru] 604019 Pasco [Region: Peru] 604020 Piura [Region: Peru] 604021 Puno [Region: Peru] 604022 San Martín [Region: Peru] 604023 Tacna [Region: Peru] 604024 Tumbes [Region: Peru] 604025 Ucayali [Region: Peru] 608001 Ilocos [Region: Philippines] 608002 Cagayan Valley [Region: Philippines] 608003 Central Luzon [Region: Philippines] 608004 Southern Tagalog [Region: Philippines] 608005 Bicol [Region: Philippines] 608006 Western Visayas [Region: Philippines] 608007 Central Visayas [Region: Philippines] 608008 Eastern Visayas [Region: Philippines] 608009 Western Mindanao [Region: Philippines] 608011 Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines] 608012 Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines] 608013 National Capital Region [Region: Philippines] 608014 Cordillera Administrative Region [Region: Philippines] 620111 Minho-Lima [Subregion: Portugal] 620112 Cávado [Subregion: Portugal] 620113 Ave [Subregion: Portugal] 620114 Grande Porto [Subregion: Portugal] 620115 Tâmega [Subregion: Portugal] 620116 Entre Douro e Vouga [Subregion: Portugal] 620117 Douro [Subregion: Portugal] 620118 Alto Trás-os-Montes [Subregion: Portugal] 620150 Algarve [Subregion: Portugal] 620161 Baixo Vouga [Subregion: Portugal] 620162 Baixo Mondego [Subregion: Portugal] 620163 Pinhal Litoral [Subregion: Portugal] 620165 Dão-Lafões [Subregion: Portugal] 620166 Oeste [Subregion: Portugal] 620167 Médio Tejo [Subregion: Portugal] 620169 Other Center [Subregion: Portugal] 620171 Grande Lisboa [Subregion: Portugal] 620172 Península de Setúbal [Subregion: Portugal] 620185 Lezíria do Tejo [Subregion: Portugal] 620189 Other Alentejo [Subregion: Portugal] 620200 Região Autónoma dos Açores [Subregion: Portugal] 620300 Região Autónoma da Madeira [Subregion: Portugal] 630101 G7201001 [PUMA: Puerto Rico] 630104 G7201002, G7201003, G7201004 [PUMA: Puerto Rico] 630110 G7201100 [PUMA: Puerto Rico] 630180 G7201800 [PUMA: Puerto Rico] 630200 G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico] 630250 G7202500 [PUMA: Puerto Rico] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dimbovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 646001 Kigali City [Province: Rwanda] 646002 Kigali Ngali [Province: Rwanda] 646004 Gitarama [Province: Rwanda] 646005 Butare [Province: Rwanda] 646006 Gikongoro [Province: Rwanda] 646007 Cyangugu [Province: Rwanda] 646008 Kibuye [Province: Rwanda] 646009 Gisenyi [Province: Rwanda] 646010 Ruhengeri [Province: Rwanda] 646012 Byumba, Kibungo and Umutara [Province: Rwanda] 686001 Dakar [Region: Senegal] 686002 Diourbel [Region: Senegal] 686003 Fatick [Region: Senegal] 686004 Kaolack [Region: Senegal] 686005 Kolda [Region: Senegal] 686008 Louga, Saint Louis, Matam [Region: Senegal] 686009 Tambacounda [Region: Senegal] 686010 Thiès [Region: Senegal] 686011 Ziguinchor [Region: Senegal] 694011 Kailahun [District: Sierra Leone] 694012 Kenema [District: Sierra Leone] 694013 Kono [District: Sierra Leone] 694021 Bombali [District: Sierra Leone] 694022 Kambia [District: Sierra Leone] 694023 Koinadugu [District: Sierra Leone] 694024 Port Loko [District: Sierra Leone] 694025 Tonkolili [District: Sierra Leone] 694031 Bo [District: Sierra Leone] 694032 Bonthe [District: Sierra Leone] 694033 Moyamba [District: Sierra Leone] 694034 Pujehun [District: Sierra Leone] 694041 Western - rural [District: Sierra Leone] 694042 Western - urban [District: Sierra Leone] 704001 Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam] 704002 Ha Giang and Tuyen Quang [Province: Vietnam] 704004 Cao Bang [Province: Vietnam] 704014 Son La [Province: Vietnam] 704015 Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam] 704019 Bac Kan and Thai Nguyen [Province: Vietnam] 704020 Lang Son [Province: Vietnam] 704022 Quang Ninh [Province: Vietnam] 704024 Bac Giang, and Bac Ninh [Province: Vietnam] 704030 Hai Duong and Hung Yen [Province: Vietnam] 704031 Hai Phong [Province: Vietnam] 704034 Thai Binh [Province: Vietnam] 704038 Thanh Hoa [Province: Vietnam] 704040 Nghe An and Ha Tinh [Province: Vietnam] 704046 Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam] 704049 Da Nang and Quang Nam [Province: Vietnam] 704051 Binh Dinh and Quang Ngai [Province: Vietnam] 704054 Phu Yen and Khanh Hoa [Province: Vietnam] 704060 Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam] 704062 Gia Lai and Kon Tum [Province: Vietnam] 704066 Dak Lak and Dak Nong [Province: Vietnam] 704068 Lam Dong [Province: Vietnam] 704072 Tay Ninh [Province: Vietnam] 704074 Binh Duong and Binh Phuoc [Province: Vietnam] 704075 Dong Nai and Ba Ria - Vung Tau [Province: Vietnam] 704079 Ho Chi Minh City [Province: Vietnam] 704080 Long An [Province: Vietnam] 704082 Tien Giang [Province: Vietnam] 704083 Ben Tre [Province: Vietnam] 704086 Vinh Long and Tra Vinh [Province: Vietnam] 704087 Dong Thap [Province: Vietnam] 704089 An Giang [Province: Vietnam] 704091 Kien Giang [Province: Vietnam] 704094 Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam] 704096 Bac Lieu and Ca Mau [Province: Vietnam] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705099 Unknown [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710999 Unknown [Province: South Africa] 724011 Galicia [Communities and Autonomous Cities: Spain] 724012 Principado de Asturias [Communities and Autonomous Cities: Spain] 724013 Cantabria [Communities and Autonomous Cities: Spain] 724021 País Vasco [Communities and Autonomous Cities: Spain] 724022 Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain] 724023 La Rioja [Communities and Autonomous Cities: Spain] 724024 Aragón [Communities and Autonomous Cities: Spain] 724030 Comunidad de Madrid [Communities and Autonomous Cities: Spain] 724041 Castilla y León [Communities and Autonomous Cities: Spain] 724042 Castilla-La Mancha [Communities and Autonomous Cities: Spain] 724043 Extremadura [Communities and Autonomous Cities: Spain] 724051 Cataluña [Communities and Autonomous Cities: Spain] 724052 Comunidad Valenciana [Communities and Autonomous Cities: Spain] 724053 Illes Balears [Communities and Autonomous Cities: Spain] 724061 Andalucía [Communities and Autonomous Cities: Spain] 724062 Región de Murcia [Communities and Autonomous Cities: Spain] 724063 Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain] 724064 Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain] 724070 Canarias [Communities and Autonomous Cities: Spain] 724099 Unknown [Communities and Autonomous Cities: Spain] 728071 Upper Nile [State: South Sudan] 728072 Jonglei [State: South Sudan] 728073 Unity [State: South Sudan] 728081 Warrap [State: South Sudan] 728082 Northern Bahr El Ghazal [State: South Sudan] 728083 Western Bahr El Ghazal [State: South Sudan] 728084 Lakes [State: South Sudan] 728091 Western Equatoria [State: South Sudan] 728092 Central Equatoria [State: South Sudan] 728093 Eastern Equatoria [State: South Sudan] 729011 Northern [State: Sudan] 729012 Nahr El Nil [State: Sudan] 729021 Red Sea [State: Sudan] 729022 Kassala [State: Sudan] 729023 Al Gedarif [State: Sudan] 729031 Khartoum [State: Sudan] 729041 Al Gezira [State: Sudan] 729042 White Nile [State: Sudan] 729043 Sinnar [State: Sudan] 729044 Blue Nile [State: Sudan] 729051 North Kordofan [State: Sudan] 729052 South Kordofan [State: Sudan] 729061 North Darfur [State: Sudan] 729062 West Darfur [State: Sudan] 729063 South Darfur [State: Sudan] 756001 Zurich [Canton: Switzerland] 756002 Bern [Canton: Switzerland] 756003 Luzern (Lucerne) [Canton: Switzerland] 756004 Uri [Canton: Switzerland] 756005 Schwyz [Canton: Switzerland] 756006 Obwalden (Obwald) [Canton: Switzerland] 756007 Nidwalden (Nidwald) [Canton: Switzerland] 756008 Glarus [Canton: Switzerland] 756009 Zug [Canton: Switzerland] 756010 Fribourg [Canton: Switzerland] 756011 Solothurn [Canton: Switzerland] 756012 Basel-Stadt (Basel-City) [Canton: Switzerland] 756013 Basel-Landschaft (Basel-Country) [Canton: Switzerland] 756014 Schaffhausen [Canton: Switzerland] 756015 Outer and Inner Rhodes [Canton: Switzerland] 756017 St. Gallen (St. Gall) [Canton: Switzerland] 756018 Graubundun (Grisons) [Canton: Switzerland] 756019 Aargau (Argovia) [Canton: Switzerland] 756020 Thurgau (Thurgovia) [Canton: Switzerland] 756021 Ticino [Canton: Switzerland] 756022 Vaud [Canton: Switzerland] 756023 Valais [Canton: Switzerland] 756024 Neuchatel [Canton: Switzerland] 756025 Geneva [Canton: Switzerland] 756026 Jura [Canton: Switzerland] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Prachin Buri and Sa Kaeo [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764041 Udon Thani and Nong Bua Lam Phu [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom and Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Chiang Rai and Phayao [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764081 Krabi [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Surat Thani [Province: Thailand] 764085 Ranong [Province: Thailand] 764086 Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 792001 Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey] 792002 Adiyaman [Province: Turkey] 792003 Afyon [Province: Turkey] 792004 Agri [Province: Turkey] 792005 Amasya [Province: Turkey] 792006 Ankara and Kirikkale [Province: Turkey] 792007 Antalya [Province: Turkey] 792008 Artvin [Province: Turkey] 792009 Aydin [Province: Turkey] 792010 Balikesir [Province: Turkey] 792011 Bilecik [Province: Turkey] 792012 Bingöl [Province: Turkey] 792013 Bitlis [Province: Turkey] 792014 Bolu and Düzce [Province: Turkey] 792015 Burdur [Province: Turkey] 792017 Çanakkale [Province: Turkey] 792019 Çorum [Province: Turkey] 792020 Denizli [Province: Turkey] 792021 Diyarbakir [Province: Turkey] 792022 Edirne [Province: Turkey] 792023 Elazig [Province: Turkey] 792024 Erzincan [Province: Turkey] 792025 Erzurum [Province: Turkey] 792026 Eskisehir [Province: Turkey] 792028 Giresun [Province: Turkey] 792029 Gümüshane and Bayburt [Province: Turkey] 792031 Hatay [Province: Turkey] 792032 Isparta [Province: Turkey] 792033 Mersin (içel) [Province: Turkey] 792034 Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey] 792035 Izmir [Province: Turkey] 792036 Kars, Ardahan and Igdir [Province: Turkey] 792037 Kastamonu [Province: Turkey] 792038 Kayseri [Province: Turkey] 792039 Kirklareli [Province: Turkey] 792040 Kirsehir [Province: Turkey] 792042 Konya and Karaman [Province: Turkey] 792043 Kütahya [Province: Turkey] 792044 Malatya [Province: Turkey] 792045 Manisa [Province: Turkey] 792046 Kahramanmaras [Province: Turkey] 792047 Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey] 792048 Mugla [Province: Turkey] 792049 Mus [Province: Turkey] 792050 Nevsehir [Province: Turkey] 792051 Nigde and Aksaray [Province: Turkey] 792052 Ordu [Province: Turkey] 792053 Rize [Province: Turkey] 792054 Sakarya [Province: Turkey] 792055 Samsun [Province: Turkey] 792057 Sinop [Province: Turkey] 792058 Sivas [Province: Turkey] 792059 Tekirdag [Province: Turkey] 792060 Tokat [Province: Turkey] 792061 Trabzon [Province: Turkey] 792062 Tunceli [Province: Turkey] 792063 Sanliurfa [Province: Turkey] 792064 Usak [Province: Turkey] 792065 Van [Province: Turkey] 792066 Yozgat [Province: Turkey] 792067 Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga [District: Uganda] 800104 Luwero and Nakasongola [District: Uganda] 800105 Masaka and Sembabule [District: Uganda] 800107 Mubende [District: Uganda] 800108 Mukono and Kayunga [District: Uganda] 800110 Rakai [District: Uganda] 800113 Mpigi and Wakiso [District: Uganda] 800203 Iganga, Buguri, and Mayuge [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli [District: Uganda] 800206 Kapchorwa [District: Uganda] 800208 Kumi [District: Uganda] 800209 Mbale and Sironko [District: Uganda] 800210 Pallisa [District: Uganda] 800211 Soroti, Katakwi, and Kaberamaido [District: Uganda] 800212 Busia and Tororo [District: Uganda] 800301 Moyo and Adjumani [District: Uganda] 800302 Apac [District: Uganda] 800303 Arua and Yumbe [District: Uganda] 800304 Gulu [District: Uganda] 800306 Kotido [District: Uganda] 800307 Lira [District: Uganda] 800308 Moroto and Nakapiripirit [District: Uganda] 800310 Nebbi [District: Uganda] 800312 Kitgum and Pader [District: Uganda] 800401 Bundibugyo [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale [District: Uganda] 800405 Kabarole, Kamwenge, and Kyenjojo [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi [District: Uganda] 800410 Bushenyi, Mbarara, and Ntungamo [District: Uganda] 800412 Rukungiri and Kanungu [District: Uganda] 800999 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv [Region: Ukraine] 804085 Sevastopol [Region: Ukraine] 818001 Cairo [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Damietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818017 Menoufia [Governorate: Egypt] 818018 Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818021 Giza [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818029 Luxor [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 826011 North East [Region: United Kingdom] 826013 North West [Region: United Kingdom] 826014 Yorkshire and the Humber [Region: United Kingdom] 826021 East Midlands [Region: United Kingdom] 826022 West Midlands [Region: United Kingdom] 826031 East of England [Region: United Kingdom] 826032 South East and London [Region: United Kingdom] 826040 South West [Region: United Kingdom] 826060 Scotland [Region: United Kingdom] 826070 Wales [Region: United Kingdom] 826080 Northern Ireland [Region: United Kingdom] 834001 Dodoma [Region: Tanzania] 834003 Kilimanjaro [Region: Tanzania] 834004 Tanga [Region: Tanzania] 834005 Morogoro [Region: Tanzania] 834006 Pwani [Region: Tanzania] 834007 Dar es Salaam [Region: Tanzania] 834008 Lindi [Region: Tanzania] 834009 Mtwara [Region: Tanzania] 834010 Ruvumba [Region: Tanzania] 834011 Iringa [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834017 Shinyanga [Region: Tanzania] 834018 Kagera [Region: Tanzania] 834019 Mwanza [Region: Tanzania] 834020 Mara [Region: Tanzania] 834021 Arusha and Manyara [Region: Tanzania] 834051 Zanzibar North [Region: Tanzania] 834052 Zanzibar South [Region: Tanzania] 834053 Zanzibar Town/West [Region: Tanzania] 834054 Pemba North [Region: Tanzania] 834055 Pemba South [Region: Tanzania] 840001 Alabama [State: U.S.] 840002 Alaska [State: U.S.] 840004 Arizona [State: U.S.] 840005 Arkansas [State: U.S.] 840006 California [State: U.S.] 840008 Colorado [State: U.S.] 840009 Connecticut [State: U.S.] 840010 Delaware [State: U.S.] 840011 District of Columbia [State: U.S.] 840012 Florida [State: U.S.] 840013 Georgia [State: U.S.] 840015 Hawaii [State: U.S.] 840016 Idaho [State: U.S.] 840017 Illinois [State: U.S.] 840018 Indiana [State: U.S.] 840019 Iowa [State: U.S.] 840020 Kansas [State: U.S.] 840021 Kentucky [State: U.S.] 840022 Louisiana [State: U.S.] 840023 Maine [State: U.S.] 840024 Maryland [State: U.S.] 840025 Massachusetts [State: U.S.] 840026 Michigan [State: U.S.] 840027 Minnesota [State: U.S.] 840028 Mississippi [State: U.S.] 840029 Missouri [State: U.S.] 840030 Montana [State: U.S.] 840031 Nebraska [State: U.S.] 840032 Nevada [State: U.S.] 840033 New Hampshire [State: U.S.] 840034 New Jersey [State: U.S.] 840035 New Mexico [State: U.S.] 840036 New York [State: U.S.] 840037 North Carolina [State: U.S.] 840038 North Dakota [State: U.S.] 840039 Ohio [State: U.S.] 840040 Oklahoma [State: U.S.] 840041 Oregon [State: U.S.] 840042 Pennsylvania [State: U.S.] 840044 Rhode Island [State: U.S.] 840045 South Carolina [State: U.S.] 840046 South Dakota [State: U.S.] 840047 Tennessee [State: U.S.] 840048 Texas [State: U.S.] 840049 Utah [State: U.S.] 840050 Vermont [State: U.S.] 840051 Virginia [State: U.S.] 840053 Washington [State: U.S.] 840054 West Virginia [State: U.S.] 840055 Wisconsin [State: U.S.] 840056 Wyoming [State: U.S.] 840099 State not identified [State: U.S.] 854001 Boucle du Mouhoun [Region: Burkina Faso] 854002 Cascades [Region: Burkina Faso] 854003 Centre [Region: Burkina Faso] 854004 Centre-Est [Region: Burkina Faso] 854005 Centre-Nord [Region: Burkina Faso] 854006 Centre-Ouest [Region: Burkina Faso] 854007 Centre-Sud [Region: Burkina Faso] 854008 Est [Region: Burkina Faso] 854009 Hauts-Bassins [Region: Burkina Faso] 854010 Nord [Region: Burkina Faso] 854011 Plateau Central [Region: Burkina Faso] 854012 Sahel [Region: Burkina Faso] 854013 Sud-Ouest [Region: Burkina Faso] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 894001 Central [Province: Zambia] 894002 Copperbelt [Province: Zambia] 894003 Eastern, Muchinga, Northern [Province: Zambia] 894004 Luapula [Province: Zambia] 894005 Lusaka [Province: Zambia] 894008 North Western [Province: Zambia] 894009 Southern [Province: Zambia] 894010 Western [Province: Zambia] 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. IPUMS Dwelling number Dwelling number Dwelling number Dwelling number Dwelling number Dwelling number All households This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household Number of persons in household Number of persons in household Number of persons in household Number of persons in household Number of persons in household All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 37 37 This variable indicates the number of persons in the household. IPUMS Urban-rural Urban-rural Urban-rural Urban-rural Urban-rural 4. Sector: [] 1 Rural [] 2 Urban All households 1 Rural 2 Urban This variable indicates whether the household is located in an urban or rural sector. IPUMS State State State State State 5. State - region _ _ _ 6. District code _ _ 7. Stratum number _ _ 8. Sub - round ____ 9. Sub - sample ____ All households 2 Andhra Pradesh 3 Arunachal Pradesh 4 Assam 5 Bihar 6 Goa 7 Gujarat 8 Haryana 9 Himachal Pradesh 10 Jammu and Kashmir 11 Karnataka 12 Kerala 13 Madhya Pradesh 14 Maharashtra 15 Manipur 16 Meghalaya 17 Mizoram 18 Nagaland 19 Orissa 20 Punjab 21 Rajasthan 22 Sikkim 23 Tamil Nadu 24 Tripura 25 Uttar Pradesh 26 West Bengal 27 Andaman and Nicobar Islands 28 Chandigarh 29 Dadra and Nagar Haveli 30 Daman and Diu 31 Delhi 32 Lakshadweep 33 Pondicherry This variable indicates the state in which the household is located. IPUMS Region Region Region Region Region 5. State - region _ _ _ 6. District code _ _ 7. Stratum number _ _ 8. Sub - round ____ 9. Sub - sample ____ All households 21 Coastal (Andhra Pradesh) 22 Inland Northern (Andhra Pradesh) 23 South-Western (Andhra Pradesh) 24 Inland Southern (Andhra Pradesh) 31 Arunachal Pradesh (Arunachal Pradesh) 41 Plains Eastern (Assam) 42 Plains Western (Assam) 43 Hills (Assam) 51 Southern (Bihar) 52 Northern (Bihar) 53 Central (Bihar) 61 Goa (Goa) 71 Eastern (Gujarat) 72 Plains Northern (Gujarat) 73 Plains Southern (Gujarat) 74 Dry areas (Gujarat) 75 Saurashtra (Gujarat) 81 Eastern (Haryana) 82 Western (Haryana) 91 Himachal Pradesh (Himachal Pradesh) 101 Mountainous (Jammu and Kashmir) 102 Outer Hills (Jammu and Kashmir) 103 Jhelam Valley (Jammu and Kashmir) 111 Coastal and Ghats (Karnataka) 112 Inland Eastern (Karnataka) 113 Inland Southern (Karnataka) 114 Inland Northern (Karnataka) 121 Northern (Kerala) 122 Southern (Kerala) 131 Chhattisgarh (Madhya Pradesh) 132 Vindhya (Madhya Pradesh) 133 Central (Madhya Pradesh) 134 Malwa (Madhya Pradesh) 135 South (Madhya Pradesh) 136 South-Western (Madhya Pradesh) 137 Northern (Madhya Pradesh) 141 Coastal (Maharashtra) 142 Inland Western (Maharashtra) 143 Inland Northern (Maharashtra) 144 Inland Central (Maharashtra) 145 Inland Eastern (Maharashtra) 146 Eastern (Maharashtra) 151 Plains (Manipur) 152 Hills (Manipur) 161 Meghalaya (Meghalaya) 171 Mizoram (Mizoram) 181 Nagaland (Nagaland) 191 Coastal (Orissa) 192 Southern (Orissa) 193 Northern (Orissa) 201 Northern (Punjab) 202 Southern (Punjab) 211 Western (Rajasthan) 212 North-Eastern (Rajasthan) 213 Southern (Rajasthan) 214 South-Eastern (Rajasthan) 221 Sikkim (Sikkim) 231 Coastal Northern (Tamil Nadu) 232 Coastal (Tamil Nadu) 233 Southern (Tamil Nadu) 234 Inland (Tamil Nadu) 241 Tripura (Tripura) 251 Himalayan (Uttar Pradesh) 252 Western (Uttar Pradesh) 253 Central (Uttar Pradesh) 254 Eastern (Uttar Pradesh) 255 Southern (Uttar Pradesh) 261 Himalayan (West Bengal) 262 Eastern Plains (West Bengal) 263 Central Plains (West Bengal) 264 Western Plains (West Bengal) 271 Andaman and Nicobar Islands (Andaman and Nicober Islands) 281 Chandigarh (Chandigarh) 291 Dadra and Nagar Haveli (Dadra and Nagar Haveli) 301 Daman and Diu (Daman and Diu) 311 Delhi (Delhi) 321 Lakshadweep (Lakshadweep) 331 Pondicherry (Pondicherry) This variable indicates the region in which the household is located. IPUMS District District District District District 5. State - region _ _ _ 6. District code _ _ 7. Stratum number _ _ 8. Sub - round ____ 9. Sub - sample ____ All households This variable indicates the district in which the household is located. This is a 5-digit numeric variable with 0 implied decimal places IPUMS Stratum Stratum Stratum Stratum Stratum 5. State - region _ _ _ 6. District code _ _ 7. Stratum number _ _ 8. Sub - round ____ 9. Sub - sample ____ All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 This variable indicates the sampling stratum of the household. See the sample designs document for 1999 India. IPUMS Survey period Survey period Survey period Survey period Survey period 5. State - region _ _ _ 6. District code _ _ 7. Stratum number _ _ 8. Sub - round ____ 9. Sub - sample ____ All households 1 July to September, 1999 2 October to December, 1999 3 January to March, 2000 4 April to June, 2000 This variable indicates the sub-round number for the household. See the sample designs document for 1999 India. IPUMS Subsample Subsample Subsample Subsample Subsample 5. State - region _ _ _ 6. District code _ _ 7. Stratum number _ _ 8. Sub - round ____ 9. Sub - sample ____ All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 This variable indicates the subsample number for the household. See the sample designs document for 1999 India. IPUMS Segment number Segment number Segment number Segment number Segment number 13. Segment (1/2) _ All households 1 1 2 2 This variable indicates the segment number of the household. See the sample designs document for 1999 India. IPUMS Second stage stratum Second stage stratum Second stage stratum Second stage stratum Second stage stratum 14. Second-stage stratum ____ All households 1 1 2 2 This variable indicates the second stage stratum in which the household was sampled. See the sample designs document for 1999 India. IPUMS Sample household number Sample household number Sample household number Sample household number Sample household number 15. Sample household no. _ _ All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 26 26 28 28 30 30 32 32 34 34 36 36 38 38 40 40 42 42 49 49 59 59 This variable indicates the sample household number. IPUMS Survey code Survey code Survey code Survey code Survey code 18. Survey code: [] 1 Household surveyed: original [] 2 Household surveyed: substitute [] 3 Household surveyed: casualty All households 1 Household surveyed: original 2 Household surveyed: substitute 3 Household surveyed: casualty 4 Blank record (for persons without a matching household record) This variable indicates the survey code for the household. IPUMS Reason for substitution of original household Reason for substitution of original household Reason for substitution of original household Reason for substitution of original household Reason for substitution of original household 19. Reason for substitution of original household: [] 1 Informant busy [] 2 Members away from home [] 3 Informant non-cooperative [] 9 Others Households that are substitutes 1 Informant busy 2 Members away from home 3 Informant non-cooperative 8 Unknown 9 NIU (not in universe) This variable indicates the reason for the substitution of original household in the enumeration. IPUMS National Sample Survey weight National Sample Survey weight National Sample Survey weight National Sample Survey weight National Sample Survey weight National Sample Survey weight All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 10 10 11 11 15 15 99 Unknown This variable indicates the National Sample Survey (NSS) weights. IPUMS SS-replicate SS-replicate SS-replicate SS-replicate SS-replicate SS-replicate All households 1 1 2 2 3 3 9 Unknown This variable indicates the sample survey (SS)-replicate. IPUMS Multiplier Multiplier Multiplier Multiplier Multiplier Multiplier All households This variable indicates the multiplier (household weight) for the household. IN99A034 is a 10-digit numeric variable. 0 = Unknown. IPUMS Monthly per capita consumer expenditures Monthly per capita consumer expenditures Monthly per capita consumer expenditures Monthly per capita consumer expenditures Monthly per capita consumer expenditures Monthly per capita consumer expenditures All households This variable indicates the monthly per capita consumer expenditure (MPCE). This is the average monthly consumer expenditure divided by the number of persons in the household. IN99A035 is a 6-digit numeric variable. 999999 = Unknown. IPUMS Household type Household type Household type Household type Household type 4. Household type: For rural areas: [] 1 Self-employed in non-agriculture [] 2 Agricultural labour [] 3 Other labour [] 4 Self-employed in agriculture [] 9 Others For urban areas: [] 1 Self-employed [] 2 Regular-wage/salary earning [] 3 Casual labour [] 9 Others All households 1 Rural self-employed in non-agriculture/Urban self-employed 2 Rural agricultural labor/urban regular wage/salary earning 3 Rural other labor/urban casual labor 4 Rural self-employed in agriculture 7 Others 9 Unknown This variable indicates the household type based on the sector and source of earnings. IPUMS Social group Social group Social group Social group Social group 2. Social group: [] 1 Scheduled tribe [] 2 Scheduled caste [] 3 Other backward class [] 9 Others All households 1 Scheduled tribe 2 Scheduled caste 3 Other backward class 4 Others 9 Unknown This variable indicates the social group of the household. IPUMS Religion Religion Religion Religion Religion 3. Religion: [] 1 Hinduism [] 2 Islam [] 3 Christianity [] 4 Sikhism [] 5 Jainism [] 6 Buddhism [] 7 Zoroastrianism [] 9 Others All households 1 Hinduism 2 Islam 3 Christianity 4 Sikhism 5 Jainism 6 Buddhism 7 Zoroastrianism 9 Others 99 Unknown This variable indicates the religion of the household. IPUMS Land possessed, in hectares Land possessed, in hectares Land possessed, in hectares Land possessed, in hectares Land possessed, in hectares 7. ____ Land possessed as on date of survey (in 0.00 hectares) [land possessed = land (owned + leased-in + neither owned nor leased-in) - land leased out] All households This variable indicates the amount of land possessed (in hectares) by the household. IN99A040 is a 5-digit numeric variable. 99999 = Unknown. IPUMS Land owned, in hectares Land owned, in hectares Land owned, in hectares Land owned, in hectares Land owned, in hectares 6. ____ Land owned as on date of survey (in 0.00 hectares) All households This variable indicates the amount of land owned (in hectares) by the household. IN99A042 is a 5-digit numeric variable. 99999 = Unknown. IPUMS Males worked 60 days last year in public works Males worked 60 days last year in public works Males worked 60 days last year in public works Males worked 60 days last year in public works Males worked 60 days last year in public works No. of members who got work for at least 60 days in 'public works' during the last 365 days: 9. ____ Male 10. ____ Female All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 10 10 11 11 16 16 99 Unknown and no response This variable indicates the number of male members of the household that worked for at least 60 days last year in public works. IPUMS Females worked 60 days last year in public works Females worked 60 days last year in public works Females worked 60 days last year in public works Females worked 60 days last year in public works Females worked 60 days last year in public works No. of members who got work for at least 60 days in 'public works' during the last 365 days: 9. ____ Male 10. ____ Female All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 13 13 99 Unknown and no response This variable indicates the number of female members of the household that worked for at least 60 days last year in public works. IPUMS Household weight Household weight Household weight Household weight Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS India, State 1983 - 2004 [Level 1; consistent boundaries, GIS] India, State 1983 - 2004 [Level 1; consistent boundaries, GIS] India, State 1983 - 2004 [Level 1; consistent boundaries, GIS] India, State 1983 - 2004 [Level 1; consistent boundaries, GIS] India, State 1983 - 2004 [Level 1; consistent boundaries, GIS] 356001 Jammu and Kashmir 356002 Himachal Pradesh 356003 Punjab 356004 Chandigarh 356006 Haryana 356007 Delhi 356008 Rajasthan 356009 Uttar Pradesh and Uttaranchal 356010 Bihar and Jharkhand 356011 Sikkim 356012 Arunachal Pradesh 356013 Nagaland 356014 Manipur 356015 Mizoram 356016 Tripura 356017 Meghalaya 356018 Assam 356019 West Bengal 356021 Orissa 356023 Chhattisgarh and Madhya Pradesh 356024 Gujarat 356026 Dadra and Nagar Haveli 356027 Maharashtra 356028 Andhra Pradesh 356029 Karnataka 356030 Daman and Diu and Goa 356031 Lakshadweep 356032 Kerala 356033 Tamil Nadu 356034 Pondicherry 356035 Andaman and Nicobar Islands GEO1_IN identifies the household's state within India in all sample years. States are the first level administrative units of the country. GEO1_IN 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_IN can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for India 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. At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for India. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future. IPUMS India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name] India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name] India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name] India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name] India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name] 1 Jammu and Kashmir 2 Himachal Pradesh 3 Punjab 4 Chandigarh 5 Uttaranchal 6 Haryana 7 Delhi 8 Rajasthan 9 Uttar Pradesh 10 Bihar 11 Sikkim 12 Arunachal Pradesh 13 Nagaland 14 Manipur 15 Mizoram 16 Tripura 17 Meghalaya 18 Assam 19 West Bengal 20 Jharkhand 21 Orissa 22 Chhattisgarh 23 Madhya Pradesh 24 Gujarat 25 Daman and Diu 26 Dadra and Nagar Haveli 27 Maharashtra 28 Andhra Pradesh 29 Karnataka 30 Goa 31 Lakshadweep 32 Kerala 33 Tamil Nadu 34 Pondicherry 35 Andaman and Nicobar Islands 36 Goa, Daman and Diu GEO1_INX identifies the household's state within India in all sample years. States are the first level administrative units of the country. GEO1_INX is harmonized by name and does not account for boundary changes over time. The full set of geography variables for India 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. At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for India. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future. IPUMS India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name] India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name] India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name] India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name] India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name] 11 Mountainous 12 Outer Hills 13 Jhelam Valley 21 Himachal Pradesh 31 Northern 32 Southern 41 Chandigarh 61 Eastern 62 Western 71 Delhi 81 Western 82 North-Eastern 83 Southern 84 South-Eastern 91 Western 92 Central 93 Eastern 94 Southern 95 Himalayan 101 Northern 102 Central 103 Southern 111 Sikkim 121 Arunachal Pradesh 131 Nagaland 141 Plains 142 Hills 151 Mizoram 161 Tripura 171 Meghalaya 181 Plains Eastern 182 Plains Western 183 Hills 191 Himalayan 192 Eastern Plains 193 Central Plains 194 Western Plains 211 Coastal 212 Southern 213 Northern 231 Vindhya 232 Central 233 Malwa 234 South 235 South-Western 236 Northern 237 Chhattisgarh 241 Eastern 242 Plains Northern 243 Plains Southern 244 Dry areas 245 Saurashtra 251 Daman and Diu 261 Dadra and Nagar Haveli 271 Coastal 272 Inland Western 273 Inland Northern 274 Inland Central 275 Inland Eastern 276 Eastern 281 Coastal 282 Inland Northern 283 South-Western 284 Inland Southern 291 Coastal and Ghats 292 Inland Eastern 293 Inland Southern 294 Inland Northern 301 Goa 311 Lakshadweep 321 Northern 322 Southern 331 Coastal Northern 332 Coastal 333 Southern 334 Inland 341 Pondicherry 351 Andaman and Nicobar Islands 361 Goa, Daman and Diu GEO2_INX identifies the household's region within India in all sample years. Regions are the second level administrative units of the country, after states. Regions are created by the National Sample Survey (NSS) as a second level of territorial organization. GEO2_INX is harmonized by name and does not account for boundary changes over time. The full set of geography variables for India 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. At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for India. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future. IPUMS Number of married couples in household Number of married couples in household Number of married couples in household Number of married couples in household Number of married couples in household No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). IPUMS Number of mothers in household Number of mothers in household Number of mothers in household Number of mothers in household Number of mothers in household No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). IPUMS Number of fathers in household Number of fathers in household Number of fathers in household Number of fathers in household Number of fathers in household No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). IPUMS Country Country Country Country Country 32 Argentina 40 Austria 50 Bangladesh 51 Armenia 68 Bolivia 76 Brazil 112 Belarus 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 214 Dominican Republic 218 Ecuador 222 El Salvador 231 Ethiopia 242 Fiji 250 France 275 Palestine 276 Germany 288 Ghana 300 Greece 324 Guinea 332 Haiti 348 Hungary 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 430 Liberia 454 Malawi 458 Malaysia 466 Mali 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 586 Pakistan 591 Panama 600 Paraguay 604 Peru 608 Philippines 620 Portugal 630 Puerto Rico 642 Romania 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 704 Vietnam 705 Slovenia 710 South Africa 724 Spain 728 South Sudan 729 Sudan 756 Switzerland 764 Thailand 792 Turkey 800 Uganda 804 Ukraine 818 Egypt 826 United Kingdom 834 Tanzania 840 United States 854 Burkina Faso 858 Uruguay 862 Venezuela 894 Zambia COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). IPUMS Strata identifier Strata identifier Strata identifier Strata identifier Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. IPUMS Person number Person number Person number Person number Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 3-digit numeric variable. IPUMS Mother's location in household Mother's location in household Mother's location in household Mother's location in household Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. 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. MOMLOC is a 3-digit numeric variable. 0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother IPUMS Father's location in household Father's location in household Father's location in household Father's location in household Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. 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. POPLOC is a 3-digit numeric variable. 0 = No father of this person present in the household. 1 or higher = The person number of this person's father IPUMS Spouse's location in household Spouse's location in household Spouse's location in household Spouse's location in household Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. SPLOC is a 3-digit numeric variable. 0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse IPUMS Rule for linking parent Rule for linking parent Rule for linking parent Rule for linking parent Rule for linking parent No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Rule for linking spouse Rule for linking spouse Rule for linking spouse Rule for linking spouse Rule for linking spouse No spouse present 1 Rule 1: strong relationship pairing, couple adjacent 2 Rule 2: strong relationship pairing, couple not adjacent 3 Rule 3: weak relationship pairing, couple adjacent 4 Rule 4: weak relationship pairing, couple not adjacent 5 Rule 5: weak consensual union pairings 6 Rule 6: sample-specific rules (usually child-to-child) SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Probable stepmother Probable stepmother Probable stepmother Probable stepmother Probable stepmother Biological mother or no mother present 1 Mother has no children borne or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children borne 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. See PARRULE for a description of the linking process. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. IPUMS Probable stepfather Probable stepfather Probable stepfather Probable stepfather Probable stepfather Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible STEPPOP indicates whether a person's father, as identified by POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. IPUMS Man with more than one wife linked Man with more than one wife linked Man with more than one wife linked Man with more than one wife linked Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Woman is second or higher order wife Woman is second or higher order wife Woman is second or higher order wife Woman is second or higher order wife Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Family unit membership Family unit membership Family unit membership Family unit membership Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 2-digit numeric variable. If there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. IPUMS Number of own family members in household Number of own family members in household Number of own family members in household Number of own family members in household Number of own family members in household 1 1 family member present 2 2 family members present 3 3 family members present 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 or more persons FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). IPUMS Number of own children in household Number of own children in household Number of own children in household Number of own children in household Number of own children in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 99 No own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. IPUMS Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 99 No own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. IPUMS Relationship to household head [general version] Relationship to household head [general version] Relationship to household head [general version] Relationship to household head [general version] Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to household head [detailed version] Relationship to household head [detailed version] Relationship to household head [detailed version] Relationship to household head [detailed version] Relationship to household head [detailed version] 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling of sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Age Age Age Age Age Less than 1 year 1 1 year 2 2 years 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100+ 999 Not reported/missing AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. IPUMS Age, grouped into intervals Age, grouped into intervals Age, grouped into intervals Age, grouped into intervals Age, grouped into intervals 1 0 to 4 2 5 to 9 3 10 to 14 4 15 to 19 5 15 to 17 6 18 to 19 7 18 to 24 8 20 to 24 9 25 to 29 10 30 to 34 11 35 to 39 12 40 to 44 13 45 to 49 14 50 to 54 15 55 to 59 16 60 to 64 17 65 to 69 18 70 to 74 19 75 to 79 20 80+ 98 Unknown AGE2 gives computed years of age grouped into intervals. IPUMS Sex Sex Sex Sex Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. IPUMS Marital status [general version] Marital status [general version] Marital status [general version] Marital status [general version] Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing [program universe for et,mz samples. MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Marital status [detailed version] Marital status [detailed version] Marital status [detailed version] Marital status [detailed version] Marital status [detailed version] NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 360 Married, spouse absent 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing [program universe for et,mz samples. MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS School attendance School attendance School attendance School attendance School attendance NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. IPUMS Literacy Literacy Literacy Literacy Literacy NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. IPUMS Educational attainment, India Educational attainment, India Educational attainment, India Educational attainment, India Educational attainment, India 1 Illiterate, less than primary 2 Literate, less than primary 3 Primary 4 Middle 5 Secondary 6 Higher secondary (1993-2004) 7 Undergraduate or graduate 9 Unknown EDUCIN indicates the person's educational attainment in terms of the level of schooling completed. IPUMS Activity status (employment status) [general version] Activity status (employment status) [general version] Activity status (employment status) [general version] Activity status (employment status) [general version] Activity status (employment status) [general version] NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". IPUMS Activity status (employment status) [detailed version] Activity status (employment status) [detailed version] Activity status (employment status) [detailed version] Activity status (employment status) [detailed version] Activity status (employment status) [detailed version] NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 310 Housework 320 Unable to work/disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". IPUMS Occupation, ISCO general Occupation, ISCO general Occupation, ISCO general Occupation, ISCO general Occupation, ISCO general 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales 6 Skilled agricultural and fishery workers 7 Crafts and related trades workers 8 Plant and machine operators and assemblers 9 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. IPUMS Occupation, unrecoded Occupation, unrecoded Occupation, unrecoded Occupation, unrecoded Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Please see the codes for: IN1999A_0430 IPUMS Industry, general recode Industry, general recode Industry, general recode Industry, general recode Industry, general recode NIU (not in universe) 10 Agriculture, fishing, and forestry 20 Mining 30 Manufacturing 40 Electricity, gas and water 50 Construction 60 Wholesale and retail trade 70 Hotels and restaurants 80 Transportation and communications 90 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Real estate and business services 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. IPUMS Industry, unrecoded Industry, unrecoded Industry, unrecoded Industry, unrecoded Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Please see the codes for: IN1999A_0505 IPUMS Status in employment (class of worker) [general version] Status in employment (class of worker) [general version] Status in employment (class of worker) [general version] Status in employment (class of worker) [general version] Status in employment (class of worker) [general version] NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Status in employment (class of worker) [detailed version] Status in employment (class of worker) [detailed version] Status in employment (class of worker) [detailed version] Status in employment (class of worker) [detailed version] Status in employment (class of worker) [detailed version] NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White and blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Sector of employment Sector of employment Sector of employment Sector of employment Sector of employment NIU (not in universe) 10 Public 20 Private 21 Private, not elsewhere classified 22 Individual/family enterprise, and self-employed 23 Foreign 30 Mixed: public-private or parastatal 40 Collective or cooperative 50 Foreign government or non-governmental organization 60 Other, unspecified 61 Canal zone 62 Faith-based organization 99 Unknown EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked. IPUMS Size of work establishment Size of work establishment Size of work establishment Size of work establishment Size of work establishment None 1 1 employee 2 1 to 5 3 1 to 9 4 2 to 4 5 2 to 9 6 5 7 5 to 9 8 6 to 9 9 6 to 10 10 6 to 39 11 10 to 19 12 10 to 24 13 10 to 49 14 10 to 99 15 11 to 20 16 21 to 100 17 25 to 499 18 100 to 449 20 6 or more 21 10 or more 24 50 or more 25 100 or more 26 500 or more 98 Unknown 99 NIU (not in universe) ESTABSZ reports the number of people employed in the respondent's work establishment. IPUMS Full-time or part-time work Full-time or part-time work Full-time or part-time work Full-time or part-time work Full-time or part-time work NIU (not in universe) 1 Part-time 2 Full-time 9 Unknown HRSFULL indicates whether the respondent worked full-time or part-time. IPUMS Wage and salary income Wage and salary income Wage and salary income Wage and salary income Wage and salary income INCWAGE reports the respondent's weekly, monthly or annual wage and salary income. INCWAGE is a 7-digit numeric variable. 9999998 = Unknown/missing. 9999999 = NIU (not in universe). Israel 1983: 74,716+ Israel 1995: 20,000+ Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions Canada 1991-2001: 200,000+ Dominican Republic 1981: 2000+ Germany 1970: 2,500+ Indonesia 1995: 9,999,997+ Jamaica 1982: 100,000+ Jamaica 1991: 100,000+ Jamaica 2001: 3,000,000+ Panama 1970: 800+ Panama 2000: 9,997+ Panama 2010: 10,000+ Puerto Rico 1970-1980: 50,000+ Puerto Rico 1990: 140,000+ Puerto Rico 2000: 175,000+ Puerto Rico 2005: 999,999+ Puerto Rico 2010: 173,000+ U.S.A. 1960: 25,000+ U.S.A. 1970: 50,000+ U.S.A. 1980: 75,000+ U.S.A. 1990: State median of values over 140,000 U.S.A. 2000: State median of values over 175,000 U.S.A. 2005: 99.5th percentile within each state (Higher values are the state means of all cases above these cutoffs.) U.S.A. 2010: 99.5th percentile within each state (Higher values are the state means of all cases above these cutoffs.) IPUMS State of previous residence, India State of previous residence, India State of previous residence, India State of previous residence, India State of previous residence, India 2 Andhra Pradesh 3 Arunachal Pradesh 4 Assam 5 Bihar 6 Goa 7 Gujarat 8 Haryana 9 Himachal Pradesh 10 Jammu and Kashmir 11 Karnataka 12 Kerala 13 Madhya Pradesh 14 Maharashtra 15 Manipur 16 Meghalaya 17 Mizoram 18 Nagaland 19 Orissa 20 Punjab 21 Rajasthan 22 Sikkim 23 Tamil Nadu 24 Tripura 25 Uttar Pradesh 26 West Bengal 27 Andaman and Nicobar Islands 28 Chandigarh 29 Dadra and Nagar Haveli 30 Daman and Diu 31 Delhi 32 Lakshadweep 33 Pondicherry 34 Goa, Daman and Diu 90 Abroad 98 Unknown 99 NIU (not in universe) MIGIN indicates the person's state of previous residence in India. IPUMS Employment disability Employment disability Employment disability Employment disability Employment disability 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) DISEMP indicates if the respondent was economically inactive because of disabilities. IPUMS Person number (within household) Person number (within household) Person number (within household) Person number (within household) Person number (within household) Person number (within household) All persons Household record 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 This variable indicates the person number (within household). IPUMS Person's serial number Person's serial number Person's serial number Person's serial number Person's serial number 1. ____ Serial no. All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 44 44 45 45 55 55 58 58 100 100 108 108 111 111 222 222 223 223 225 225 309 309 331 331 423 423 521 521 561 561 601 601 This variable indicates the person's serial number. IPUMS Relation to head Relation to head Relation to head Relation to head Relation to head 3. Relation to head: [] 1 Self [] 2 Spouse of head [] 3 Married child [] 4 Spouse of married child [] 5 Unmarried child [] 6 Grandchild [] 7 Father/mother/father-in-law/mother-in-law [] 8 Brother/sister/brother-in-law/sister-in-law/other relatives [] 9 Servants/employees/other non-relatives All persons 1 Head 2 Spouse of head 3 Married child 4 Spouse of married child 5 Unmarried child 6 Grand child 7 Father/mother/father-in-law/mother-in-law 8 Brother/sister/brother-in-law/sister-in-law/other relatives 9 Servants/employees/other non-relatives 10 Person was an extra head in the original data 99 Unknown This variable indicates the person's relationship to the head of the household. IPUMS Sex Sex Sex Sex Sex 4. Sex: [] 1 Male [] 2 Female All persons 1 Male 2 Female This variable indicates the sex of the person. IPUMS Marital status Marital status Marital status Marital status Marital status 6. Marital status: [] 1 Never married [] 2 Currently married [] 3 Widowed [] 4 Divorced/separated All persons 1 Never married 2 Currently married 3 Widowed 4 Divorced/separated 9 Unknown This variable indicates the marital status of the person. IPUMS Education, general Education, general Education, general Education, general Education, general 7. Educational standard - general: [] 01 Not literate [] 02 Literate through attending NFEC/AEC [] 03 Literate through attending TLC [] 04 Literate through attending others [] 05 Literate but below primary [] 06 Primary [] 07 Middle [] 08 Secondary [] 09 Higher secondary [] 10 Graduate and above in agriculture [] 11 Graduate and above in engineering/technology [] 12 Graduate and above in medicine [] 13 Graduate and above in other subjects All persons 1 Not literate 2 Literate through attending: NFEC/AEC 3 Literate through attending: TLC 4 Literate through attending: others 5 Literate but below primary 6 Primary 7 Middle 8 Secondary 9 Higher secondary 10 Graduate and above in agriculture 11 Graduate and above in engineering/technology 12 Graduate and above in medicine 13 Graduate and above in other subjects 99 Unknown This variable indicates the highest level of general education the person has completed. IPUMS Education, technical Education, technical Education, technical Education, technical Education, technical 8. Educational standard - technical: [] 1 No technical education [] 2 Technical degree in agriculture/engineering/technology/medicine, etc. [] 3 Diploma or certificate in agriculture [] 4 Diploma or certificate in engineering/technology [] 5 Diploma or certificate in medicine [] 6 Diploma or certificate in crafts [] 9 Diploma or certificate in other subjects All persons 1 No technical education 2 Technical degree in agriculture / engineering / technology / medicine etc. 3 Diploma or certificate in agriculture 4 Diploma or certificate in engineering/technology 5 Diploma or certificate in medicine 6 Diploma or certificate in crafts 9 Diploma or certificate in other subjects This variable indicates the highest level of technical education the person has completed. IPUMS Attendance educational institution Attendance educational institution Attendance educational institution Attendance educational institution Attendance educational institution 9. Current attendance in educational institution and course of study: Currently not attending any educational institution: Never attended: [] 11 To supplement household income [] 12 Other reasons Ever attended but discontinued studies: [] 13 To supplement household income [] 14 Other reasons Dropped out: [] 15 To supplement household income [] 16 Other reasons Currently attending: [] 21 NFEC/AEC [] 22 TLC [] 23 Pre-primary [] 24 Primary [] 25 Middle [] 26 Secondary and higher secondary Graduate and above in: [] 27 Agriculture [] 28 Engineering/technology [] 29 Medicine [] 30 Other subjects Diploma or certificate course: [] 31 Agriculture [] 32 Engineering/technology [] 33 Medicine [] 34 Crafts [] 35 Other subjects Persons age 30 and below 11 Never attended any educational institution to supplement household income 12 Currently not attending any educational institution due to other reasons 13 Ever attended but discontinued studies to supplement hh income 14 Ever attended but discontinued studies due to other reasons 15 Dropped out to supplement household income 16 Dropped out due to other reasons 21 Currently attending: NFEC/AEC 22 Currently attending: TLC 23 Currently attending: pre-primary 24 Currently attending: primary 25 Currently attending: middle 26 Currently attending secondary and higher secondary 27 Graduate and above in agriculture 28 Graduate and above in engineering/technology 29 Graduate and above in medicine 30 Graduate and above in other subjects 31 Diploma or certificate course: agriculture 32 Diploma or certificate course: engineering/technology 33 Diploma or certificate course: medicine 34 Diploma or certificate course: crafts 35 Diploma or certificate course: other subjects 98 Unknown 99 NIU (not in universe) This variable indicates whether the person is currently attending any educational institution and the course of study. IPUMS Currently registered with employment exchange Currently registered with employment exchange Currently registered with employment exchange Currently registered with employment exchange Currently registered with employment exchange 10. Currently registered within employment exchange: [] 1 Yes [] 2 No Persons age 65 and below 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person is registered with the employment exchange. IPUMS Stayed in the same village 6 months or more Stayed in the same village 6 months or more Stayed in the same village 6 months or more Stayed in the same village 6 months or more Stayed in the same village 6 months or more 11. Whether staying in the same village/town for last 6 months or more: [] 1 Yes [] 2 No All persons 1 Yes 2 No 9 Unknown This variable indicates whether the person stayed in the same village during the last 6 months or more. IPUMS Whether stayed away from village for 60 days or more for employment Whether stayed away from village for 60 days or more for employment Whether stayed away from village for 60 days or more for employment Whether stayed away from village for 60 days or more for employment Whether stayed away from village for 60 days or more for employment 12. Whether stayed away from village/town for 60 days or more for employment or in search of employment: If code 1 in question 11 [if staying in the same village/town for last 6 months or more, per question 11], [] 1 Yes [] 2 No Persons who stayed in the same village the last 6 months or longer 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person stayed away from the village/town during the last 60 days or longer for employment or in search for employment. IPUMS Whether enumeration place differs from last usual residence Whether enumeration place differs from last usual residence Whether enumeration place differs from last usual residence Whether enumeration place differs from last usual residence Whether enumeration place differs from last usual residence 13. Whether place of enumeration differs from last usual place of residence: [] 1 Yes [] 2 No All persons 1 Yes 2 No This variable indicates whether the enumeration place differs from the person's usual residence. IPUMS Period since leaving last usual residence Period since leaving last usual residence Period since leaving last usual residence Period since leaving last usual residence Period since leaving last usual residence If code 1 in question 13 [Questions 14-20 were asked of persons whose place of enumeration differed from last usual place of residence, per question 13.] 14. Period since leaving the last usual place of residence: _____ years Persons whose enumeration place differs from their place of birth Period less than one year 1 1 year or more but less than 2 years 2 2 year or more but less than 3 years 3 3 year or more but less than 4 years 4 4 year or more but less than 5 years 5 5 year or more but less than 6 years 6 6 year or more but less than 7 years 7 7 year or more but less than 8 years 8 8 year or more but less than 9 years 9 9 year or more but less than 10 years 10 10 year or more but less than 11 years 11 11 year or more but less than 12 years 12 12 year or more but less than 13 years 13 13 year or more but less than 14 years 14 14 year or more but less than 15 years 15 15 year or more but less than 16 years 16 16 year or more but less than 17 years 17 17 year or more but less than 18 years 18 18 year or more but less than 19 years 19 19 year or more but less than 20 years 20 20 year or more but less than 21 years 21 21 year or more but less than 22 years 22 22 year or more but less than 23 years 23 23 year or more but less than 24 years 24 24 year or more but less than 25 years 25 25 year or more but less than 26 years 26 26 year or more but less than 27 years 27 27 year or more but less than 28 years 28 28 year or more but less than 29 years 29 29 year or more but less than 30 years 30 30 year or more but less than 31 years 31 31 year or more but less than 32 years 32 32 year or more but less than 33 years 33 33 year or more but less than 34 years 34 34 year or more but less than 35 years 35 35 year or more but less than 36 years 36 36 year or more but less than 37 years 37 37 year or more but less than 38 years 38 38 year or more but less than 39 years 39 39 year or more but less than 40 years 40 40 year or more but less than 41 years 41 41 year or more but less than 42 years 42 42 year or more but less than 43 years 43 43 year or more but less than 44 years 44 44 year or more but less than 45 years 45 45 year or more but less than 46 years 46 46 year or more but less than 47 years 47 47 year or more but less than 48 years 48 48 year or more but less than 49 years 49 49 year or more but less than 50 years 50 50 year or more but less than 51 years 51 51 year or more but less than 52 years 52 52 year or more but less than 53 years 53 53 year or more but less than 54 years 54 54 year or more but less than 55 years 55 55 year or more but less than 56 years 56 56 year or more but less than 57 years 57 57 year or more but less than 58 years 58 58 year or more but less than 59 years 59 59 year or more but less than 60 years 60 60 year or more but less than 61 years 61 61 year or more but less than 62 years 62 62 year or more but less than 63 years 63 63 year or more but less than 64 years 64 64 year or more but less than 65 years 65 65 year or more but less than 66 years 66 66 year or more but less than 67 years 67 67 year or more but less than 68 years 68 68 year or more but less than 69 years 69 69 year or more but less than 70 years 70 70 year or more but less than 71 years 71 71 year or more but less than 72 years 72 72 year or more but less than 73 years 73 73 year or more but less than 74 years 74 74 year or more but less than 75 years 75 75 year or more but less than 76 years 76 76 year or more but less than 77 years 77 77 year or more but less than 78 years 78 78 year or more but less than 79 years 79 79 year or more but less than 80 years 80 80 year or more but less than 81 years 81 81 year or more but less than 82 years 82 82 year or more but less than 83 years 83 83 year or more but less than 84 years 84 84 year or more but less than 85 years 85 85 year or more but less than 86 years 86 86 year or more but less than 87 years 87 87 year or more but less than 88 years 88 88 year or more but less than 89 years 90 89 year or more but less than 90 years 99 NIU (not in universe) This variable indicates the how many years have passed since the person left the last usual residence. IPUMS Location of last usual residence Location of last usual residence Location of last usual residence Location of last usual residence Location of last usual residence If code 1 in question 13 [Questions 14-20 were asked of persons whose place of enumeration differed from last usual place of residence, per question 13.] Particular of last usual residence [Questions 16-17] 15. Location: Same district: [] 1 Rural [] 2 Urban Same state but another district: [] 3 Rural [] 4 Urban Another state: [] 5 Rural [] 6 Urban [] 7 Another country Persons whose enumeration place differs from their place of birth 1 Same district: rural 2 Same district:urban 3 Same state but another district: rural 4 Same state but another district: urban 5 Another state: rural 6 Another state: urban 7 Another country 8 Unknown 9 NIU (not in universe) This variable indicates the location of the person's last usual residence. IPUMS State or country of last usual residence State or country of last usual residence State or country of last usual residence State or country of last usual residence State or country of last usual residence If code 1 in question 13 [Questions 14-20 were asked of persons whose place of enumeration differed from last usual place of residence, per question 13.] Particular of last usual residence [Questions 16-17] State/ u.t. /country: [Questions 16-17.] 16. Name ____ 17. Code State/ u.t.: [] 02 A.P. [] 03 Ar.P. [] 04 Assam [] 05 Bihar [] 06 Goa [] 07 Gujarat [] 08 Haryana [] 09 H.P [] 10 J and K [] 11 Karnataka [] 12 Kerala [] 13 M.P [] 14 Maharashtra [] 15 Manipur [] 16 Meghalaya [] 17 Mizoram [] 18 Nagaland [] 19 Orissa [] 20 Punjab [] 21 Rajasthan [] 22 Sikkim [] 23 T.N. [] 24 Tripura [] 25 U.P. [] 26 W.B. [] 27 AandN Is. [] 28 Chandi-garh [] 29 Dadra and Nagar Haveli [] 30 Daman and Diu [] 31 Delhi [] 32 Lakshadweep [] 33 Pondicherry Country: [] 51 Bangladesh [] 52 Nepal [] 53 Pakistan [] 54 Sri Lanka [] 55 Bhutan [] 56 Gulf Countries (Saudi Arabia, Iran, Iraq, Kuwait, UAE and other countries of the region) [] 57 Other Asian Countries [] 58 USA [] 59 Canada [] 60 Other Countries of North and South America [] 61 UK [] 62 Other Countries of Europe [] 63 Countries of Africa [] 64 Rest of the World Persons whose enumeration place differs from their place of birth 2 Andhra Pradesh 3 Arunachal Pradesh 4 Assam 5 Bihar 6 Goa 7 Gujarat 8 Haryana 9 Himachal Pradesh 10 Jammu and Kashmir 11 Karnataka 12 Kerala 13 Madhya Pradesh 14 Maharashtra 15 Manipur 16 Meghalaya 17 Mizoram 18 Nagaland 19 Orissa 20 Punjab 21 Rajasthan 22 Sikkim 23 Tamil Nadu 24 Tripura 25 Uttar Pradesh 26 West Bengal 27 Andaman and Nicobar Islands 28 Chandigarh 29 Dadra and Nagar Haveli 30 Daman and Diu 31 Delhi 32 Lakshadweep 33 Pondicherry 51 Bangladesh 52 Nepal 53 Pakistan 54 Sri Lanka 55 Bhutan 56 Gulf countries 57 Other Asian countries 58 USA 59 Canada 60 Other countries of North and South America 61 UK 62 Other countries of Europe 63 Countries of Africa 64 Rest of the world 98 Unknown 99 NIU (not in universe) This variable indicates the state or country of the person's last usual residence. IPUMS Usual activity at time of migration Usual activity at time of migration Usual activity at time of migration Usual activity at time of migration Usual activity at time of migration If code 1 in question 13 [Questions 14-20 were asked of persons whose place of enumeration differed from last usual place of residence, per question 13.] Usual activity at the time of migration [Questions 18-19.] 18. Status: [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others Persons whose enumeration place differs from their place of birth 11 Worked in household enterprise (self-employed): own account worker 12 Worked in household enterprise (self-employed): employer 21 Worked as helper in household enterprise (unpaid family worker) 29 Worked as regular salaried/wage employee 31 Worked as casual wage labor in public works 41 Worked as casual wage labor in other types of work 49 Had work in household enterprise but did not work due to sickness 51 Had work in household enterprise but did not work due to other reasons 60 Had regular salaried/wage employment but did not work due to sickness 75 Had regular salaried/wage employment but did not work due to other reasons 81 Sought work 82 Did not seek but was available for work 89 Attended educational institution 91 Attended domestic duties only 92 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed, etc.), sewing, tailoring, weaving, etc. for household use 93 Rentiers, pensioners, remittance recipients, etc. 94 Not able to work due to disability 95 Beggars, prostitutes 96 Others 97 Did not work due to temporary sickness (for casual workers only) 98 Unknown 99 NIU (not in universe) This variable indicates the person's usual activity at the time of migration. The usual activity is what the person spent the most time on during the 365 days prior to the date of migration. IPUMS Reason for leaving last usual residence Reason for leaving last usual residence Reason for leaving last usual residence Reason for leaving last usual residence Reason for leaving last usual residence If code 1 in question 13 [Questions 14-20 were asked of persons whose place of enumeration differed from last usual place of residence, per question 13.] Usual activity at the time of migration [Questions 18-19.] 20. Reason for leaving the last usual place of residence: [] 01 In search of employment [] 02 In search of better employment [] 03 To take up employment/better employment [] 04 Transfer of service/contract [] 05 Proximity to place of work [] 06 Studies [] 07 Acquisition of own house/flat [] 08 Housing problems [] 09 Social/political problems [] 10 Health [] 11 Marriage [] 12 Migration of parent/earning member of the family [] 19 Others Persons whose enumeration place differs from their place of birth 1 In search of employment 2 In search of better employment 3 To take up employment/better employment 4 Transfer of service/contract 5 Proximity to place of work 6 Studies 7 Acquisition of own house/flat 8 Housing problems 9 Social/ political problems 10 Health 11 Marriage 12 Migration of parent/earning member of the family 19 Others 98 Unknown 99 NIU (not in universe) This variable indicates the reason for leaving the last usual residence. IPUMS Status in principal activity Status in principal activity Status in principal activity Status in principal activity Status in principal activity Principal usual activity [Questions 3-6] 3. Status: [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others Persons age 5+ 11 Worked in household enterprise (self-employed): own account worker 12 Worked in household enterprise (self-employed): employer 21 Worked as a helper in household enterprise (unpaid family worker) 31 Worked as regular salaried/wage employee 41 Worked as casual wage labour: in public works 51 Worked as casual wage labour: in other types of work 81 Did not work but was seeking and/or available for work 91 Attended educational institution 92 Attended domestic duties only 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use 94 Rentiers, pensioners, remittance recipients etc. 95 Not able to work due to disability 96 Beggars, prostitutes 97 Other 99 NIU (not in universe) This variable indicates the person's principal activity. The principal activity is what the person spent the longest amount of time doing during the last 365 days prior to the survey. IPUMS Industry of usual principal activity (3-digit) Industry of usual principal activity (3-digit) Industry of usual principal activity (3-digit) Industry of usual principal activity (3-digit) Industry of usual principal activity (3-digit) Industry of usual principal activity (3-digit) Persons age 5+ whose principal activity was working 11 Growing of crops; market gardening; horticulture 12 Farming of animals 13 Growing of crops combined with farming of animals (mixed farming). 14 Agricultural and animal husbandry service activities, except veterinary activities. 15 Hunting, trapping and game propagation including related service activities 20 Forestry, logging and related service activities 50 Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing 101 Mining and agglomeration of hard coal 102 Mining and agglomeration of lignite 103 Extraction and agglomeration of peat 111 Extraction of crude petroleum and natural gas 112 Service activities incidental to oil and gas extraction excluding surveying 120 Mining of uranium and thorium ores (e.g. pitchblende), including concentrating of such ores 131 Mining of iron ores 132 Mining of non-ferrous metal ores, except uranium and thorium ores 141 Quarrying of stone, sand and clay 142 Mining and quarrying , n.e.c. 151 Production, processing and preservation of meat, fish, fruit vegetables, oils and fats. 152 Manufacture of dairy product 153 Manufacture of grain mill products, starches and starch products, and prepared animal feeds 154 Manufacture of other food products 155 Manufacture of beverages 160 Manufacture of tobacco products 171 Spinning, weaving and finishing of textiles 172 Manufacture of other textiles 173 Manufacture of knitted and crocheted fabrics and articles 181 Manufacture of wearing apparel, except fur apparel 182 Dressing and dyeing of fur; manufacture of articles of fur 191 Tanning and dressing of leather, manufacture of luggage handbags, saddlery and harness 192 Manufacture of footwear 201 Saw milling and planing of wood 202 Manufacture of products of wood, cork, straw and plaiting materials 210 Manufacture of paper and paper product 221 Publishing 222 Printing and service activities related to printing 223 Reproduction of recorded media 231 Manufacture of coke oven products 232 Manufacture of refined petroleum products 233 Processing of nuclear fuel 241 Manufacture of basic chemicals 242 Manufacture of other chemical products 243 Manufacture of man-made fibers 251 Manufacture of rubber products 252 Manufacture of plastic products 261 Manufacture of glass and glass products 269 Manufacture of non-metallic mineral products n.e.c. 271 Manufacture of basic iron and steel 272 Manufacture of basic precious and non-ferrous metals 273 Casting of metals 281 Manufacture of structural metal products, tanks, reservoirs and steam generators 289 Manufacture of other fabricated metal products; metal working service activities 291 Manufacture of general purpose machinery 292 Manufacture of special purpose machinery 293 Manufacture of domestic appliances, n.e.c. 300 Manufacture of office, accounting and computing machinery 311 Manufacture of electric motors, generators and transformers 312 Manufacture of electricity distribution and control apparatus 313 Manufacture of insulated wire and cable 314 Manufacture of accumulators, primary cells and primary batteries 315 Manufacture of electric lamps and lighting equipment 319 Manufacture of other electrical equipment n.e.c. 321 Manufacture of electronic valves and tubes and other electronic components 322 Manufacture of television and radio transmitters and apparatus for line telephony and line telegraphy 323 Manufacture of television and radio receivers, sound or video recording or reproducing apparatus, and associated goods 331 Manufacture of medical appliances and instruments and appliances for measuring, checking, testing, navigating and other purposes except optical instruments 332 Manufacture of optical instruments and photographic equipment 333 Manufacture of watches and clocks 341 Manufacture of motor vehicles 342 Manufacture of bodies (coach work) for motor vehicles; manufacture of trailers and semi-trailers 352 Manufacture of railway and tramway locomotives and rolling stock 353 Manufacture of aircraft and spacecraft 359 Manufacture of transport equipment n.e.c. 361 Manufacture of furniture 369 Manufacturing n.e.c. 371 Recycling of metal waste and scrap 372 Recycling of non-metal waste and scrap 401 Production, collection and distribution of electricity 402 Manufacture of gas; distribution of gaseous fuels through mains 403 Steam and hot water supply 410 Collection, purification and distribution of water 451 Site preparation 452 Building of complete constructions or parts thereof; civil engineering 453 Building installation 454 Building completion 455 Renting of construction or demolition equipment with operator 501 Sale of motor vehicles 502 Maintenance and repair of motor vehicles [including washing and polishing etc.] 503 Sale of motor vehicle parts and accessories 504 Sale, maintenance and repair of motorcycles and related parts and accessories 505 Retail sale of automotive fuel 511 Wholesale on a fee or contract basis 512 Wholesale of agricultural raw material, live animals, food beverages and tobacco 513 Wholesale of household goods 514 Wholesale of non-agricultural intermediate products, waste and scrap 515 Wholesale of machinery, equipment and supplies 519 Other wholesale [Includes specialized wholesale not covered in any one of the previous categories and wholesale in a variety of goods without any particular specialization.] 521 Non-specialized retail trade in stores 522 Retail sale of food, beverages and tobacco in specialized stores 523 Other retail trade of new goods in specialized stores 524 Retail sale of second-hand goods in stores [includes the pawn shops] 525 Retail trade not in stores 526 Repair of personal and household goods [Includes repair of personal and household goods when not done in combination with manufacture or wholesale or retail sale of these goods] 551 Hotels; camping sites and other provision of short-stay accommodation [Restaurant facilities operated in connection with the provision of lodging remain classified in this group. Also included are the peration of sleeping cars when carried on by sepa[...] 552 Restaurants, bars and canteens 601 Transport via railways [Includes passenger and freight transport by inter-urban railways. Also covers related activities such as shunting and switching.] 602 Other land transport 603 Transport via pipelines 611 Sea and coastal water transport 612 Inland water transport 621 Scheduled air transport 622 Non-scheduled air transport 630 Supporting and auxiliary transport activities; activities of travel agencies 641 Post and courier activities 642 Telecommunications 651 Monetary Intermediation [This group includes the obtaining of funds in the form of deposits.] 659 Other financial intermediation [This group includes financial intermediation other than that conducted by monetary institutions.] 660 Insurance and pension funding, except compulsory social security 671 Activities auxiliary to financial intermediation, except insurance and pension funding 672 Activities auxiliary to insurance and pension funding 701 Real estate activities with own or leased property 702 Real estate activities on a fee or contract basis 711 Renting of transport equipment 712 Renting of other machinery and equipment 713 Renting of personal and household goods n.e.c. 721 Hardware consultancy 722 Software consultancy and supply 723 Data processing 724 Database activities 725 Maintenance and repair of office, accounting and computing machinery 729 Other computer related activities 731 Research and experimental development on natural sciences and engineering (NSE) 732 Research and experimental development on social sciences and humanities (SSH) 741 Legal, accounting, book-keeping and auditing activities; tax consultancy; market research and public opinion polling; business and management consultancy 742 Architectural, engineering and other technical activities 743 Advertising 749 Business activities n.e.c. 751 Administration of the State and the economic and social policy of the community 752 Provision of services to the community as a whole 753 Compulsory social security activities 801 Primary education 802 General secondary education [including special school-type education for handicapped students] 803 Higher education [Includes post-secondary/senior secondary sub-degree level education that leads to university degree or equivalent.] 809 Adult and other education 851 Human health activities 852 Veterinary activities [including clinico-pathological and other diagnostic activities pertaining to animals and birds] 853 Social work activities 900 Sewage and refuse disposal, sanitation and similar activities 911 Activities of business, employers and professional organisations 912 Activities of trade unions 919 Activities of other membership organisations 921 Motion picture, radio, television and other entertainment activities 922 News agency activities 923 Library, archives, museums and other cultural activities 924 Sporting and other recreational activities 930 Other service activities 950 Private households with employed persons [Includes the activities of private households employing all kinds of domestic personnel such as maids, cooks, gardeners , gatekeepers, secretaries, governess, baby sitters etc. ] 990 Extra territorial organizations and bodies [Includes the activities of international organisations such as the United Nations and its agencies, regional bodies etc., IMF, World Bank, European Commission, OPEC etc.] 999 NIU (not in universe) This variable indicates the industry in which the person works for the principal activity (3-digit). The principal activity is what the person spent the largest amount of time doing during the 365 days prior to the survey. IPUMS Occupation of usual principal activity Occupation of usual principal activity Occupation of usual principal activity Occupation of usual principal activity Occupation of usual principal activity Principal usual activity [Questions 3-6] 3. Status: [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others For codes 11-51 in question 3 [Questions 4-6 were asked of persons who worked, per question 3.] Industry-occupation [Questions 4-6.] 4. Description ____ 5. Industry code as in NIC-1998 _ _ _ _ _ 6. Occupation code as in NCO-1968 _ _ _ Persons age 5+ whose principal activity was working Physicist 1 Chemists (excluding pharmaceutical chemists) 2 Geologists and geophysicists 3 Meteorologist 9 Physical scientists, n.e.c. 10 Physical science technicians 20 Architects and town planners 21 Civil engineers 22 Electrical and electronic engineers 23 Mechanical engineers 24 Chemical engineers 25 Metallurgists 26 Mining engineers 27 Industrial engineers 28 Surveyors 29 Architects, engineers, technologists, surveyors, n.e.c. 30 Draughtsmen 31 Civil engineering overseers and technicians 32 Electrical and electronic engineering overseers and technicians 33 Mechanical engineering overseers and technicians 34 Chemical engineering technicians 35 Metallurgical technicians 36 Transport and communication supervisors 37 Survey technicians 39 Engineering technicians, n.e.c. 40 Aircraft pilots 41 Flight engineers 42 Flight navigators 43 Ship's deck officers and pilots 44 Ships engineers 49 Aircraft and ship's officers, n.e.c. 50 Biologists, zoologists, botanists and related scientists 51 Bacteriologists, pharmacologists and related scientists 52 Silviculturists 53 Agronomists and agricultural scientists 59 Life scientists, n.e.c. 60 Life science technicians 70 Physicians and surgeons, allopathic 71 Physicians and surgeons, Ayurvedic 72 Physicians and surgeons, homoeopathic 73 Physician and surgeons, Unani 74 Dental surgeons 75 Veterinarians 76 Pharmacists 77 Dieticians and nutritionists 78 Public health physicians 79 Physicians and surgeons, n.e.c. 80 Vaccinators, inoculators and medical assistants 81 Dental assistants 82 Veterinary assistants 83 Pharmaceutical assistants 84 Nurses 85 Midwives and health visitors 86 X-ray technicians 87 Optometrists and opticians 88 Physiotherapists and occupational therapists 89 Technicians, n.e.c. 90 Scientific medical and technical persons, other 100 Mathematicians 101 Statisticians 102 Actuaries 103 System analysts and programmers 104 Statistical investigators and related workers 109 Mathematicians, statisticians and related workers, n.e.c. 111 Economic investigators and related workers 119 Economists and related workers, n.e.c. 120 Accountants and auditors 121 Cost and works accountants 129 Accountants, auditors and related workers, n.e.c. 130 Sociologists and anthropologists 131 Historians, archeologists and political scientists and related workers 132 Geographers 133 Psychologists 134 Librarians, archivists and curators 135 Philologists, translators and interpreters 136 Personnel and occupational specialists 137 Labour, social welfare and political workers 139 Social scientists and related workers, n.e.c. 140 Lawyers 141 Judges and magistrates 142 Legal assistants 149 Jurists, n.e.c. 150 Teachers, university and colleges 151 Teachers, higher secondary and secondary schools 152 Teachers, middle school 153 Teachers, primary 154 Teachers, pre-primary 155 Teachers, special education 156 Teachers, craft 159 Teachers, n.e.c. 160 Poets, authors and critics 161 Editors and journalists 169 Poets, authors, journalists and related workers, n.e.c. 170 Sculptors, painters and related artists 171 Commercial artists, interior decorators and designers 172 Movie camera operators 173 Photographers, other 179 Sculptors, painters, photographers and related creative artists, n.e.c. 180 Composers, musicians and singers 181 Choreographers and dancers 182 Actors 183 Stage and film directors and producers (performing arts) 184 Circus performers 189 Composers and performing artists, n.e.c. 190 Ordained religious workers 191 Non-ordained religious workers 192 Astrologers, palmists and related workers 193 Athletes, sportsmen and related workers 199 Professional workers n.e.c. 200 Elected officials, union government 201 Elected officials, state government 202 Elected officials, local bodies 209 Elected officials, n.e.c. 210 Administrative and executive officials, union government 211 Administrative and executive officials, state government 212 Administrative and executive officials, quasi government 213 Administrative and executive officials, local bodies 219 Administrative and executive officials, govt and local bodies, n.e.c. 220 Working proprietors, directors and managers, wholesale 221 Working proprietors, directors and managers, retail trade 229 Working proprietors, directors and managers wholesale and retail trade, n.e.c. 230 Directors and managers, bank 231 Directors and managers, insurance 239 Directors and managers, financial institution n.e.c. 240 Working proprietors, directors and managers, mining, quarrying and well drilling 241 Working proprietors, directors and managers, construction 242 Working proprietors, directors and managers, electricity, gas and water 243 Working proprietors, directors and managers, manufacturing 249 Manufacturing and related concerns, n.e.c. 250 Working proprietors, directors, managers and related executives, transport 251 Directors, managers and related executives, communication 252 Warehouse 259 Storage and communication, n.e.c. 260 Working proprietors, directors and managers, lodging and catering services 261 Working props, dirs and managers, recreation and entertain 269 Working proprietors, directors, managers, and related executives, other services 299 Administrative, executive and managerial workers, n.e.c. 300 Clerical supervisors, (office superintendents), head clerks, section heads 301 Other supervisors (inspectors, etc.) 302 Ministerial and office assistants 309 Clerical and other supervisors, other 310 Village officials 320 Stenographers and steno-typists 321 Typists 322 Tele-typists 323 Card and tape punching machine operators 329 Stenographer, typist and card and tape punching operators, n.e.c. 330 Book keepers and accounts clerks 331 Cashiers 339 Bookkeepers, cashiers and related workers, n.e.c. 340 Book-keeping and calculating machine operators 341 Automatic data processing machine operators 349 Computing machine operators, n.e.c. 350 Clerks, general 351 Store keeper and related workers 352 Receptionists 353 Library clerks 354 Time keepers 355 Coders 356 Ticket sellers 357 Ticket collectors, checkers and examiners 358 Office attendants (peons, daftries, etc) 359 Clerical and related workers including proof readers and copy holders), n.e.c. 360 Station masters and station superintendents, transport 361 Postmasters, telegraph masters and other supervisors 369 Transport and communication supervisor, n.e.c. 370 Guards and breaks men, railway 371 Conductors, transport 379 Transport conductors and guards, n.e.c. 380 Postmen 381 Messengers and dispatch riders 389 Mail distributors and related workers, n.e.c. 390 Telephone operators 391 Telegraphists and signallers 392 Radio communication and wireless operators 398 Clerical and related workers, n.e.c. 399 Telephone and telegraph operators, n.e.c. 400 Merchants and shopkeepers, wholesale trade 401 Merchants and shopkeepers, retail trade 409 Merchants and shop keepers and wholesale and retail trade, n.e.c. 410 Sales supervisors 411 Purchasing agents 412 Selling agents 419 Manufacturers agents, n.e.c. 420 Technical salesmen and service advisors 421 Commercial travellers 429 Technical salesmen and commercial travellers, n.e.c. 430 Salesmen, shop assistants and demonstrators 431 Street vendors, canvassers and news vendors 439 Salesmen, shop assistants and related workers, n.e.c. 440 Agents and salesmen, insurance 441 Agents, brokers and salesmen, real estate 442 Agents and brokers, securities and shares 443 Agents, brokers and salesmen, advertising and other business services 444 Auctioneers 445 Valuers and appraisers 449 Insurance, real estate, securities and business services, salesmen and auctioneers, n.e.c. 450 Money lenders (including indigenous bankers) 451 Pawn brokers 459 Money lenders and pawn brokers, n.e.c. 490 Sales workers, n.e.c. 500 Hotel and restaurant keepers 510 House keepers, matrons and stewards 520 Cooks and cook bearers 521 Butlers, bearers and waiters 522 Bartenders and related workers 529 Cooks, waiters and related workers, n.e.c. 530 Ayahs, nurse, maids 531 Domestic servants 539 Maids and related housekeeping service workers, n.e.c. 540 Building caretakers 541 Sweepers, cleaners and related workers 542 Watermen 549 Building caretakers, sweepers, cleaners and related workers, n.e.c. 550 Laundrymen, washermen and dhobis 551 Dry cleaners and pressers 559 Launderers, dry cleaners and pressers, n.e.c. 560 Hair dressers, barbers, beauticians and related workers 570 Fire fighters 571 Policemen and detectives 572 Customs examiners, patrollers and related workers 573 Protection force, home guard and security workers 574 Watchmen, chowkidars and gate keepers 579 Protective service workers, n.e.c. 590 Guides 591 Undertakers and embalmers 599 Service workers, n.e.c. 600 Farm managers and supervisors, crop production 601 Manager, plantation 602 Farm managers, horticulture 603 Farm manager, livestock farm 604 Farm manager, dairy farm 605 Farm manager, poultry farm 609 Farm managers and supervisors, n.e.c. 610 Cultivators (owners) 611 Cultivators (tenants) 619 Cultivators, n.e.c. 620 Planters 621 Livestock farmers 622 Dairy farmers 623 Poultry farmers 624 Insect rearers 625 Orchard, vineyard and related workers 629 Farmers, other than cultivators, n.e.c. 630 Agricultural labourers 640 Plantation labourers 641 Tappers, (palm, rubber trees, etc.) 649 Plantation labourers and related workers, n.e.c. 650 Farm machinery operators 651 Farm workers, animal, birds and insect rearing 652 Gardeners and nursery workers 659 Other farm workers, n.e.c. 660 Foresters and related workers 661 Harvesters and gatherers of forest products including lac (except logs) 662 Log fellers and wood cutters 663 Charcoal burners and forest product processors 669 Loggers and other forestry workers, n.e.c. 670 Hunters 671 Trappers 679 Hunters and related workers, n.e.c. 680 Fishermen, deep sea 681 Fishermen, inland and coastal waters 682 Conch and shell gatherers, sponge and pearl divers 689 Fishermen and related workers, n.e.c. 699 Farmers, fishermen, hunters, loggers and related workers, n.e.c. 710 Supervisor and foreman, mining, quarrying, well drilling and related activities 711 Miners 712 Quarrymen 713 Drillers, mines and quarries 714 Shot firers 715 Miners and quarrymen, other 716 Well drillers, petroleum and gas 717 Well drillers, other than petroleum and gas 718 Mineral treaters 719 Miners, quarrymen and related workers, n.e.c. 720 Supervisors and foremen, metal smelting converting refining 721 Metal smelting, converting and refining furnace men 722 Metal rolling mill workers 723 Metal melters and reheaters 724 Metal casters 725 Metal moulder and core makers 726 Metal annealers, temperers and case hardeners 727 Metal drawers and extruders 728 Metal platters and coaters 729 Metal processors, n.e.c. 730 Supervisor and foreman, wood preparation and paper making 731 Wood treaters 732 Sawyers, plywood makers and related wood processing workers 733 Paper pulp preparers 734 Paper makers 739 Wood preparation and paper making workers n.e.c. 740 Supervisor and foreman, chemical processing and related activities 741 Crushers, grinders and mixers 742 Cookers, roasters and related heat treaters 743 Filter and separator operators 744 Still and reactor operators 745 Petroleum refining workers 749 Chemical processors and related workers, n.e.c. 750 Supervisors and foremen, spinning, weaving, knitting, dyeing and related processes 751 Fibre preparers 752 Spinners and winders 753 Warpers and sizers 754 Weaving and knitting machine setters and pattern card preparers 755 Weavers and related workers 756 Carpet makers and finishers 757 Knitters 758 Bleachers, dyers and textile product finishers 759 Spinners, weavers, knitters, dyers and related workers, n.e.c. 760 Supervisors and foremen, tanning and pelt dressing 761 Tanners and fell mongers 762 Pelt dressers 769 Fellmongers and pelt dressers, n.e.c. 770 Supervisors and foremen, food and beverage processing 771 Grain millers, parchers and related workers 772 Crushers and pressers, oil seeds 773 Khandsari, sugar and gur makers 774 Butchers and meat preparers 775 Food preservers and canners 776 Dairy product processors 777 Bakers, confectioners, candy and sweet meat makers, other food processors 778 Tea, coffee and cocoa prepares 779 Brewers and aerated water and beverage makers 780 Supervisors and foremen tobacco and tobacco product makers 781 Tobacco prepares 782 Cigar makers 783 Cigarette makers 784 Bidi makers 789 Tobacco prepares and tobacco product makers, n.e.c. 790 Supervisors and foremen, tailoring, dress making, sewing, upholstery work 791 Tailors and dress makers 792 Fur tailors and related workers 793 Milliners, hat and cap makers 794 Pattern makers and cutters 795 Sewers and embroiders 796 Upholsterers and related workers 799 Tailors, dressmakers, sewers, upholsterers and related workers, n.e.c. 800 Supervisor and foremen, shoe and leather goods making 801 Shoe makers and shoe repairers 802 Shoe cutters, lasters, sewers and related workers 803 Harness and saddle makers 809 Leather, cutters, lasters and sewers and related workers, n.e.c. 810 Supervisors, foremen, carpentry, cabinet making related wood working processes 811 Carpenter 812 Cabinet makers 813 Wood working machine operators 814 Cart builders and wheel wrights 815 Coach and body builders 816 Shipwrights and boat builders 819 Carpenters, cabinet makers and related workers, n.e.c. 820 Supervisors and foremen, stone cutting and carving 821 Stone cutter and carvers 829 Stone cutters and carvers, n.e.c. 830 Supervisors and foremen, blacksmithy, tool making and machine tool operations 831 Blacksmiths, hammersmiths and forging press operators 832 Metal markers 833 Tool makers and metal pattern makers 834 Machine tool setters 835 Machine tool operators 836 Metal grinders, polishers and tool sharpeners 839 Blacksmiths, toolmakers, machine tool operators, n.e.c. 840 Supervisors and foreman, machinery fitting, assembling, repairing and precision instrument making (except electrical) 841 Watch, clock and precision instrument makers (except electrical) 842 Machinery fitters and machine assemblers 843 Motor vehicle mechanics 844 Aircraft engine mechanics 845 Mechanics, repairmen, other 849 Machinery fitters, machine assemblers and precision instrument makers (except electrical), n.e.c. 850 Supervisors and foremen, electrical and electronic equipment fitting, assembling, installing and repairing 851 Electricians, electrical fitters and related workers 852 Electronics fitters 853 Electric and electronic equipment assemblers 854 Radio television mechanics and repairmen 855 Electrical wiremen 856 Telephone and telegraph installers and repairmen 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and electronic workers, n.e.c. 860 Supervisors, broadcasting, audio-visual projection and sound equipment operators 861 Radio broadcasting television operators 862 Sound equipment operators and cinema projectionists 869 Broadcasting station and sound equipment operators and cinema projectionists 870 Supervisors, foremen, plumbing, welding structural and sheet metal working 871 Plumbers and pipe fitters 872 Welders and flame cutters 873 Sheet metal workers 874 Metal plate and structural metal workers 879 Plumbers, welders, sheet metal and structural metal preparers and erectors, n.e.c. 880 Supervisors, jewellery and precious metal working 881 Jewellers, goldsmiths and silversmiths 882 Jewellery engravers 883 Other metal engravers (except printing) 889 Jewellers and precious metal workers, n.e.c. (except printing) 890 Supervisors and foremen, glass forming, pottery and related activities 891 Glass formers, cutters, grinders and finishers 892 Potters and related clay and abrasive formers 893 Glass and ceramic kilnmen 894 Glass engravers and etchers 895 Glass and ceramics painters and decorators 899 Glass formers, potters and related workers, n.e.c. 900 Supervisors and foremen, rubber and plastics product making 901 Plastics product makers 902 Rubber product makers (except tyre makers and vulcanisers) 903 Tyre makers and vulcanisers 909 Rubber and plastics product makers, n.e.c. 910 Supervisors and foremen paper and paper board product making 911 Paper and paper board product makers 919 Paper and paper product makers, n.e.c. 920 Supervisors and foremen printing and related work 921 Compositors 922 Type setters and photo-type setters 923 Printing pressman 924 Stereo-typers and electro-typers 925 Engravers, printing (except photo engravers) 926 Photo engravers 927 Book binders and related workers 928 Photographic dark room workers 929 Printers and related workers, n.e.c. 930 Supervisors and foremen, painting 931 Painters, construction 932 Painters, spray and sign writing 939 Painters, n.e.c. 940 Supervisors and foremen production and related activities, n.e.c. 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Non-metallic mineral product makers 949 Production and related workers, n.e.c. 950 Supervisors and foremen, bricklaying other construction work 951 Bricklayers, stone masons and tile setters 952 Reinforced concreters, cement finishers and terrazzo workers 953 Roofers 954 Parquetry workers 955 Plasterers 956 Insulators 957 Glaziers 958 Hut builders and thatchers 959 Construction workers, n.e.c. 960 Supervisors and foremen, stationary and related equipment operations 961 Stationary engine and related equipment operators 962 Boilermen and firemen 963 Oilers and greasers (including cleaners motor vehicle) 969 Stationary engine and related equipment operators, n.e.c. 970 Supervisors and foremen, material and freight handling and related equipment operator 971 Loaders and unloaders 972 Riggers and cable splicer 973 Crane and hoist operators 974 Earth moving and related machinery operators 975 Checkers, testers, sorters, weighers and counters 976 Packers, labellers and related workers 979 Material handling equipment operators, n.e.c. 980 Supervisors and foremen, transport equipment operation 981 Ships' deck ratings, barge crews and boatmen 982 Ships' engine room ratings 983 Drivers, railways 984 Firemen, railways 985 Pointsmen, signalmen and shunters, railways 986 Tram car and motor vehicle drivers 987 Drivers, animal and animal drawn vehicles 988 Cycle rickshaw drivers and rickshaw pullers 989 Transport equipment operators and drivers, n.e.c. 998 Operators and laborers, n.e.c. 999 Labourers, other 1000 Workers not classified by occupations 9999 NIU (not in universe) This variable indicates the person's occupation for his/her principal activity. The principal activity is what the person spent the longest amount of time doing during the last 365 days prior to the survey. IPUMS Status in subsidiary activity Status in subsidiary activity Status in subsidiary activity Status in subsidiary activity Status in subsidiary activity [5.2] Usual subsidiary economic activity particulars of household members (i.e., those with code 1 in question 7, section 5.1) [Questions 1-7 were asked of persons who engaged in any work in subsidiary capacity, per question 7 of section 5.1.] Usual subsidiary activity [Questions 3-6] 3. Status: [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work Persons age 5+ who were engaged in any subsidiary activity 11 Worked in household enterprise (self-employed) : own account worker 12 Worked in household enterprise (self-employed): employer 21 Worked as helper in h.h. enterprise (unpaid family worker) 31 Worked as regular salaried/wage employee 41 Worked as casual wage labor: in public works 51 In other types of work; did not work but was seeking and/or available for work 99 NIU (not in universe) This variable indicates the person's status in the subsidiary activity during the last 365 days prior to the survey. IPUMS Occupation of weekly activity Occupation of weekly activity Occupation of weekly activity Occupation of weekly activity Occupation of weekly activity Industry-occupation [Questions 4-6.] 4. Description ____ 5. Industry code as in NIC-1998 _ _ _ _ _ 6. Occupation code as in NCO-1968 _ _ _ For codes 11-72 in question 20 [Questions 21-22 were asked of persons who worked or had work in the previous week, per question 20.] 21. Industry code: as in NIC-1998 _ _ _ _ _ 22. Occupation code: as in NCO-1968 _ _ _ Persons age 5+ whose weekly status is coded 72 or below Physicist 1 Chemists (excluding pharmaceutical chemists) 2 Geologists and geophysicists 3 Meteorologist 9 Physical scientists, n.e.c. 10 Physical science technicians 20 Architects and town planners 21 Civil engineers 22 Electrical and electronic engineers 23 Mechanical engineers 24 Chemical engineers 25 Metallurgists 26 Mining engineers 27 Industrial engineers 28 Surveyors 29 Architects, engineers, technologists, surveyors, n.e.c. 30 Draughtsmen 31 Civil engineering overseers and technicians 32 Electrical and electronic engineering overseers and technicians 33 Mechanical engineering overseers and technicians 34 Chemical engineering technicians 35 Metallurgical technicians 36 Transport and communication supervisors 37 Survey technicians 39 Engineering technicians, n.e.c. 40 Aircraft pilots 41 Flight engineers 42 Flight navigators 43 Ship's deck officers and pilots 44 Ships engineers 49 Aircraft and ship's officers, n.e.c. 50 Biologists, zoologists, botanists and related scientists 51 Bacteriologists, pharmacologists and related scientists 52 Silviculturists 53 Agronomists and agricultural scientists 59 Life scientists, n.e.c. 60 Life science technicians 70 Physicians and surgeons, allopathic 71 Physicians and surgeons, Ayurvedic 72 Physicians and surgeons, homoeopathic 73 Physician and surgeons, Unani 74 Dental surgeons 75 Veterinarians 76 Pharmacists 77 Dieticians and nutritionists 78 Public health physicians 79 Physicians and surgeons, n.e.c. 80 Vaccinators, inoculators and medical assistants 81 Dental assistants 82 Vete rinary assistants 83 Pharmaceutical assistants 84 Nurses 85 Midwives and health visitors 86 X-ray technicians 87 Optometrists and opticians 88 Physiotherapists and occupational therapists 89 Technicians, n.e.c. 90 Scientific medical and technical persons, other 100 Mthematiciansa 101 Statisticians 102 Actuaries 103 System analysts and programmers 104 Statistical investigators and related workers 109 Mathematicians, statisticians and related workers ,n.e.c. 110 Economists 111 Economic investigators and related workers 119 Economists and related workers, n.e.c. 120 Accountants and auditors 121 Cost and works accountants 129 Accountants, auditors and related workers, n.e.c. 130 Sociologists and anthropologists 131 Historians, archeologists and political scientists and related workers 132 Geographers 133 Psychologists 134 Librarians, archivists and curators 135 Philologists, translators and interpreters 136 Personnel and occupational specialists 137 Labour, social welfare and political workers 139 Social scientists and related workers, n.e.c. 140 Lawyers 141 Judges and magistrates 142 Legal assistants 149 Jurists, n.e.c. 150 Teachers, university and colleges 151 Teachers, higher secondary and secondary schools 152 Teachers, middle school 153 Teachers, primary 154 Teachers, pre-primary 155 Teachers, special education 156 Teachers, craft 159 Teachers, n.e.c. 160 Poets, authors and critics 161 Editors and journalists 169 Poets, authors, journalists and related workers, n.e.c. 170 Sculptors, painters and related artists 171 Commercial artists, interior decoratorsand designers 172 Movie camera operators 173 Photographers, other 179 Sculptors, painters, photographers and related creative artists, n.e.c. 180 Composers, musicians and singers 181 Choreographers and dancers 182 Actors 183 Stage and film directors and producers (performing arts) 184 Circus performers 189 Composers and performing artists, n.e.c. 190 Ordained religious workers 191 Non-ordained religious workers 192 Astrologers, palmists and related workers 193 Athletes, sportsmen and related workers 199 Professional workers n.e.c. 200 Elected officials, union government 201 Elected officials, state government 202 Elected officials, local bodies 209 Elected officials, n.e.c. 210 Administrative and executive officials, union government 211 Administrative and executive officials, state government 212 Administrativeand executive officials, quasi government 213 Administrative and executive officials, local bodies 219 Administrative and executive officials, govt and local bodies, n.e.c. 220 Working proprietors, directors and managers, wholesale 221 Working proprietors, directors and managers, retail trade 229 Working proprietors, directors and managers wholesale and retail trade, n.e.c. 230 Directors and managers, bank 231 Directors and managers, insurance 239 Directors and managers, financial institution n.e.c. 240 Working proprietors ,directors and managers, mining, quarrying and well drilling 241 Working proprietors, directors and managers, construction 242 Working proprietors, directors and managers, electricity, gas and water 243 Working proprietors, directors and managers, manufacturing 249 Manufacturing and related concerns, n.e.c. 250 Working proprietors, directors ,managers and related executives, transport 251 Directors, managers and related executives, communication 252 Warehouse 259 Strage and communication, n.e.c. 260 Working proprietors, directors and managers, lodging and catering services 261 Working props, dirs and managers, recreation and entertain 269 Working proprietors, directors, managers,and related executives, other services 299 Administrative, executive and ma nagerial workers, n.e.c. 300 Clerical supervisors,( office. superintendents), head clerks, section heads 301 Other supervisors (inspectors, etc.) 302 Ministerial and office assistants 309 Clerical and other supervisors, other 310 Village officials 320 Stenographers and steno-typists 321 Typists 322 Tele-typists 323 Card and tapepunching machine operators 329 Stenographer, typist and card and tape punching operators, n.e.c. 330 Book keepers and accounts clerks 331 Cashiers 339 Bookkeepers, cashiers and related workers, n.e.c. 340 Book-keeping and calculating machine operators 341 Automatic data processing machine operators 349 Computing machine operators, n.e.c. 350 Clerks, general 351 Store keeper and related workers 352 Receptionists 353 Library clerks 354 Time keepers 355 Coders 356 Ticket sellers 357 Ticket collectors, checkers and examiners 358 Office attendants (peons, daftries, etc) 359 Clerical and related workers(including proof readers and copy holders), n.e.c. 360 Station masters and station superintendents, transport 361 Postmasters, telegraph masters and other supervisors 369 Transport and communication supervisor, n.e.c. 370 Guards and breaks men, railway 371 Conductors, transport 379 Transport conductors and guards, n.e.c. 380 Postmen 381 Messengers and dispatch riders 389 Mail distributors and related workers, n.e.c. 390 Telephone operators 391 Telegraphists and signallers 392 Radio communication and wireless operators 398 Clerical and related workers, n.e.c. 399 Telephone and telegraph operators, n.e.c. 400 Merchants and shopkeepers, wholesale trade 401 Merchants and shopkeepers, retail trade 409 Merchants and shop keepers and wholesale and retail trade, n.e.c. 410 Sales supervisors 411 Purchasing agents 412 Selling agents 419 Manufacturers agents, n.e.c. 420 Technical salesmen and service advisors 421 Commercial travellers 429 Technical salesmen and commercial travellers, n.e.c. 430 Salesmen, shop assistants and demonstrators 431 Street vendors, canvassers and news vendors 439 Salesmen, shop assistants and related workers, n.e.c. 440 Agents and salesmen, insurance 441 Agents, brokers and salesmen, real estate 442 Agents and brokers, securities and shares 443 Agents, brokers and salesmen, advertising and other business services 444 Auctioneers 445 Valuers and appraisers 449 Insurance, real estate, securities and business services, salesmen and auctioneers, n.e.c. 450 Money lenders (including indigenous bankers) 451 Pawn brokers 459 Money lenders and pawn brokers, n.e.c. 490 Sales workers, n.e.c. 500 Hotel and restaurant keepers 510 House keepers, matrons and stewards 520 Cooks and cook bearers 521 Butlers, bearers and waiters 522 Bartenders and related workers 529 Cooks, waiters and related workers, n.e.c. 530 Ayahs, nurse, maids 531 Domestic servants 539 Maids and related housekeeping service workers, n.e.c. 540 Building caretakers 541 Sweepers, cleaners and related workers 542 Watermen 549 Building caretakers, sweepers, cleaners and related workers, n.e.c. 550 Laundrymen, washermen and dhobis 551 Dry cleaners and pressers 559 Launderers, dry cleaners and pressers, n.e.c. 560 Hair d ressers, barbers, beauticians and related workers 570 Fire fighters 571 Policemen and detectives 572 Customs examiners, patrollers and related workers 573 Protection force, home guard and security workers 574 Watchmen, chowkidars and gate keepers 579 Protective service workers, n.e.c. 590 Guides 591 Undertakers and embalmers 599 Service workers, n.e.c. 600 Farm managers and supervisors, crop production 601 Manager, plantation 602 Farm managers, horticulture 603 Farm manager, livestock farm 604 Farm manager, dairy farm 605 Farm manager, poultry farm 609 Farm managers and supervisors, n.e.c. 610 Cultivators (owners) 611 Cultivators (tenants) 619 Cultivators, n.e.c. 620 Planters 621 Livestock farmers 622 Dairy farmers 623 Poultry farmers 624 Insect rearers 625 Orchard, vineyard and related workers 629 Farmers, other than cultivators, n.e.c. 630 Agricultural labourers 640 Plantation labourers 641 Tappers, (palm, rubber trees, etc.) 649 Plantation labourers and related workers, n.e.c. 650 Farm machinery operators 651 Farm workers, animal, birds and insect rearing 652 Gardeners and nursery workers 659 Other farm workers, n.e.c. 660 Foresters and related workers 661 Harvesters and gatherers of forest products including lac(except logs) 662 Log fellers and wood cutters 663 Charcoal burners and forest product processors 669 Loggers and other forestry workers, n.e.c. 670 Hunters 671 Trappers 679 Hunters and related workers, n.e.c. 680 Fishermen, deep sea 681 Fishermen, inland and coastal waters 682 Conch and shell gatherers, sponge and pearl divers 689 Fishermen and related workers, n.e.c. 699 Farmers, fishermen, hunters, loggers, and related workers, n.e.c. 710 Supervisor and foreman, mining, quarrying, well drilling and related activities 711 Miners 712 Quarrymen 713 Drillers, mines and quarries 714 Shot firers 715 Miners and quarrymen, other 716 Well drillers, petroleum and gas 717 Well drillers, other than petroleum and gas 718 Mineral treaters 719 Miners, quarrymen and related workers, n.e.c. 720 Supervisors and foremen, metal smelting converting refining 721 Metal smelting, converting and refining furnace men 722 Metal rolling mill workers 723 Metal melters and reheaters 724 Metal casters 725 Metal moulder and core makers 726 Metal annealers, temperers and case hardeners 727 Metal drawers and extruders 728 Metal platters and coaters 729 Metal processors, n.e.c. 730 Supervisor and foreman, wood preparation and paper making 731 Wood treaters 732 Sawyers, plywood makers and related wood processing workers 733 Paper pulp preparers 734 Paper makers 739 Wood preparation and paper making workers n.e.c. 740 Supervisor and foreman, chemical processing and related activities 741 Crushers, grinders and mixers 742 Cookers, roasters and related heat treaters 743 Filter and separator operators 744 Still and reactor operators 745 Petroleum refining workers, 749 Chemical processors and related workers, n.e.c. 750 Supervisors and foremen, spinning, weaving, knitting, dyeing and related processes 751 Fibre preparers 752 Spinners and winders 753 Warpers and sizers 754 Weaving and knitting machine setters and pattern card preparers 755 Weavers and related workers 756 Carpet makers and finishers 757 Knitters 758 Bleachers, dyers and textile product finishers 759 Spinners, weavers,knitters,dyers and related workers, n.e.c. 760 Supervisors and foremen, tanning and pelt dressing 761 Tanners and fell mongers 762 Pelt dressers 769 Fellmongers and pelt dressers, n.e.c. 770 Supervisors and foremen, food and beverage processing 771 Grain millers, parchers and related workers 772 Crushers and pressers, oil seeds 773 Khandsari, sugar and gur makers 774 Butchers and meat preparers 775 Food preservers and canners 776 Dairy product processors 777 Bakers, confectioners, candy and sweet meat makers, other food processors 778 Tea, coffee and cocoa prepares 779 Brewers and aerated water and beverage makers 780 Supervisors and foremen tobacco and tobacco product makers 781 Tobacco prepares 782 Cigar makers 783 Cigarette makers 784 Bidi makers 789 Tobacco prepares and tobacco product makers, n.e.c. 790 Supervisors and foremen, tailoring, dress making, sewing, upholsterywork 791 Tailors and dress makers 792 Fur tailors and related workers 793 Milliners, hat and cap makers 794 Pattern makers and cutters 795 Sewers and embroiders 796 Upholsterers and related workers 799 Tailors, dressmakers, sewers, upholsterers and related workers, n.e.c. 800 Supervisor and foremen, shoe and leather goods making 801 Shoe makers and shoe repairers 802 Shoe cutters, lasters, sewers and related workers 803 Harness and saddle makers 809 Leather, cutters, lasters and sewers and related workers, n.e.c. 810 Supervisors, foremen, carpentery, cabinet making related wood working processes 811 Carpenter 812 Cabinet makers 813 Wood working machine operators 814 Cart builders and wheel wrights 815 Coach and body builders 816 Shipwrights and boat builders 819 Carpenters, cabinet makers and related workers,n.e.c. 820 Supervisors and foremen, stone cutting and carving 821 Stone cutter and carvers 829 Stone cutters and carvers, n.e.c. 830 Supervisors and foremen, blacksmithy, tool making and machine tool operations 831 Blacksmiths, hammersmiths and forgin g press operators 832 Metal markers 833 Tool makers and metal pattern makers 834 Machine tool setters 835 Machine tool operators 836 Metal grinders, polishers and tool sharpeners 839 Blacksmiths, toolmakers, machine tool operators, n.e.c. 840 Supervisors and foreman, machinery fitting, assembling, reparing and precision instrument making (except electrical) 841 Watch, clock and precision instrument makers(except electrical) 842 Machinery fitters and machine assemblers 843 Motor vehicle mechanics 844 Aircraft engine mechanics 845 Mechanics, repairmen, other 849 Machinery fitters ,machine assemblers and precision instrument makers(except electrical), n.e.c. 850 Supervisors and foremen, electrical and electronic equipment fitting, assembling, installing and repairing 851 Electricians, electrical fitters and related workers 852 Electronics fitters 853 Electric and electronic equipment assemblers 854 Radio television mechanics and repairmen 855 Electrical wiremen 856 Telephone and telegraph installers and repairmen 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and electronic workers, n.e.c. 860 Supvisors, broadcasting, audio-visual projection and sound equipment operators 861 Radio Broadcasting Television Operators 862 Sound equipment operators and cinema projectionists 869 Broadcasting station and sound equipment operators and cinema projectionists 870 Supervisors, foremen, plumbing, welding structural and sheet metal working 871 Plumbers and pipe fitters 872 Welders and flame cutters 873 Sheet metal workers 874 Metal plate and structural metal workers 879 Plumbers, welders, sheet metal and structural metal preparers and erectors, n.e.c. 880 Supervisors, jewellery and precious metal working 881 Jewellers, goldsmiths and silversmiths 882 Jewellery engravers 883 Other metal engravers (except printing) 889 Jewellers and precious metal workers, n.e.c. (except printing) 890 Supervisors and foremen, glass forming, pottery and related activities 891 Glass formers, cutters, grinders and finishers 892 Potters and related clay and abrasive formers 893 Glass and ceramic kilnmen 894 Glass engravers and etchers 895 Glass and ceramics painters and decorators 899 Glass formers, potters and related workers, n.e.c. 900 Supervisors and foremen, rubber and plastics product making 901 Plastics product makers 902 Rubber product makers ( except tyre makers and vulcanisers) 903 Tyre makers and vulcanisers 909 Rubber and plastics product makers, n.e.c. 910 Supervisors and foremen paper and paper board product making 911 Paper and paper board product makers 919 Paper and paper product makers, n.e.c. 920 Supervisors and foremen printing and related work 921 Compositors 922 Type setters and photo-type setters 923 Printing pressman 924 Stereo-typers and electro-typers 925 Engravers, printing(except photo engravers) 926 Photo engravers 927 Book binders and related workers 928 Photographic dark room workers 929 Printers and related workers, n.e.c. 930 Supervisors and foremen, painting 931 Painters, construction 932 Painters, spray and sign writing 939 Painters, n.e.c. 940 Supervisors and foremen production and related activities, n.e.c. 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Non-metallic mineral product makers 949 Production and related workers, n.e.c. 950 Supervisors and foremen, bricklaying other construction work 951 Bricklayers, stone masons and tile setters 952 Reinforced concreters, cement finishers and terrazzo workers 953 Roofers 954 Parquetry workers 955 Plasterers 956 Insulators 957 Glaziers 958 Hut builders and thatchers 959 Construction workers, n.e.c. 960 Supervisors and foremen, stationary and related equipment operations 961 Stationary engine and related equipment operators 962 Boilermen and firemen 963 Oilers and greasers (including cleaners motor vehicle) 969 Stationary engine and related equipment operators, n.e.c. 970 Supervisors and foremen, material and freight handling and related equipment operator 971 Loaders and unloaders 972 Riggers and cable splicer 973 Crane and hoist operators 974 Earth moving and related machinery operators 975 Checkers, testers, sorters, weighers and counters 976 Packers, labellers and related workers 979 Material handling equipment operators, n.e.c. 980 Supervisors and foremen, transport equipment operation 981 Ships 'deck ratings, barge crews and boatmen 982 Ships' engine room ratings 983 Drivers, railways 984 Firemen, railways 985 Pointsmen, signalmen and shunters, railways 986 Tram car and motor vehicle drivers 987 Drivers, animal and animal drawn vehicles 988 Cycle rickshaw drivers and rickshaw pullers 989 Transport equipment operators and drivers, n.e.c. 998 Operators and laborers, n.e.c. 999 Labourers, other 9998 Unknown 9999 NIU (not in universe) This variable indicates the occupation of the person's weekly activity, according to NCO-1968 code. The weekly activity is what the person did during the 7 days prior to the survey. IPUMS Skill possessed Skill possessed Skill possessed Skill possessed Skill possessed 3. Status: [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 19. Skill possessed: For age 15 years and above and with codes 81-97 in question 3 [For persons who were 15 years and above and did not work, per question 3], [] 01 Typist, stenographer [] 02 Word processing [] 03 Computer programming [] 04 Data entry operator [] 05 Fisherman [] 06 Washerman [] 07 Miner, quarryman [] 08 Spinner including charkha operator [] 09 Weaver [] 10 Tailor, cutter [] 11 Decorator [] 12 Shoe-maker, cobbler [] 13 Carpenter [] 14 Mason, bricklayer [] 15 Moulder [] 16 Mechanic [] 17 Machineman [] 18 Craftsman [] 19 Fitter [] 20 Die-maker [] 21 Welder [] 22 Plumber [] 23 Blacksmith [] 24 Goldsmith/silversmith [] 25 Electrician [] 26 Repairer of electronic goods [] 27 Motor vehicle driver, tractor driver [] 28 Boatman [] 29 Potter [] 30 Nurse, midwife [] 31 Basket maker, wicker product maker [] 32 Toy maker [] 33 Sports goods maker [] 34 Brick maker, tile maker [] 35 Bidi maker [] 36 Agarbatti maker [] 37 Bookbinder [] 38 Artist/painter [] 39 Barber [] 40 Mud house builder and thatcher [] 41 Others [] 99 No skill Persons age 15+ whose principal activity was something other than work 1 Typist, stenographer 2 Word processing 3 Computer programming 4 Data entry operator 5 Fisherman 6 Washerman 7 Miner, quarryman 8 Spinner including charkha operator 9 Weaver 10 Tailor, cutter 11 Decorator 12 Shoe-maker, cobbler 13 Carpenter 14 Mason, bricklayer 15 Moulder 16 Mechanic 17 Machineman 18 Craftsman 19 Fitter 20 Die-maker 21 Welder 22 Plumber 23 Blacksmith 24 Goldsmith/silversmith 25 Electrician 26 Repairer of electronic goods 27 Motor vehicle driver, tractor driver 28 Boatman 29 Potter 30 Nurse, midwife 31 Basket maker, wicker product maker 32 Toy maker 33 Sports goods maker 34 Brick maker, tile maker 35 Bidi maker 36 Agarbatti maker 37 Bookbinder 38 Artist/painter 39 Barber 40 Mud house builder and thatcher 41 Others 96 No skill 98 Unknown 99 NIU (not in universe) This variable indicates the skill that the person possessed. IPUMS Period seeking work last 365 days Period seeking work last 365 days Period seeking work last 365 days Period seeking work last 365 days Period seeking work last 365 days 3. Status: [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 20. Period of seeking/availability for work during last 365 days: For code other than 81 in question 3 [For persons who sought for and/or were available for work, per question 3], [] 1 Yes: less than 1 month [] 2 Yes: 1 to 3 months [] 3 Yes: 3 to 6 months [] 4 No Persons age 5+ whose principal activity was something other than 'did not work and was seeking and/or available for work' 1 Less than 1 month 2 1 to 3 months 3 3 to 6 months 4 No 8 Unknown 9 NIU (not in universe) This variable indicates the period in which the person sought work during the last 365 days. IPUMS Engaged full or part time last 365 days Engaged full or part time last 365 days Engaged full or part time last 365 days Engaged full or part time last 365 days Engaged full or part time last 365 days [7.1] Follow-up questions on availability for work to persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in question 3 of section 5.1 or section 5.2) [Questions 1-13 were asked of persons who worked, per question 3 of section 5.1 or section 5.2.] 5. Whether engaged mostly in full time or part time work during last 365 days: [] 1 Full time [] 2 Part time Persons age 5+ whose principal or subsidiary activity was working 1 Full time 2 Part time 8 Unknown 9 NIU (not in universe) This variable indicates whether the person engaged in full or part time work during the last 365 days. IPUMS Worked regularly last 365 days Worked regularly last 365 days Worked regularly last 365 days Worked regularly last 365 days Worked regularly last 365 days [7.1] Follow-up questions on availability for work to persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in question 3 of section 5.1 or section 5.2) [Questions 1-13 were asked of persons who worked, per question 3 of section 5.1 or section 5.2.] 6. Whether worked more or less regularly during last 365 days: [] 1 Yes [] 2 No Persons age 5+ whose principal or subsidiary activity was working 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person worked regularly during the last 365 days. IPUMS Number of months without work Number of months without work Number of months without work Number of months without work Number of months without work [7.1] Follow-up questions on availability for work to persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in question 3 of section 5.1 or section 5.2) [Questions 1-13 were asked of persons who worked, per question 3 of section 5.1 or section 5.2.] 7. Approximate number of months without work (months) ____ Persons age 5+ whose principal or subsidiary activity was working 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 98 Unknown 99 NIU (not in universe) This variable indicates the number of months that the person was without work during the year prior to the survey. IPUMS Sought/available for work in those months Sought/available for work in those months Sought/available for work in those months Sought/available for work in those months Sought/available for work in those months [7.1] Follow-up questions on availability for work to persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in question 3 of section 5.1 or section 5.2) [Questions 1-13 were asked of persons who worked, per question 3 of section 5.1 or section 5.2.] 7. Approximate number of months without work (months) ____ 8. If entry more than or equal to one in question 7 [If unemployed for more than or equal to one month, per question 7], sought/available for work during those months: [] 1 Yes: on most days [] 2 Yes: on some days [] 3 No Persons age 5+ who had 1 or more months in the last year without work 1 Yes on most days 2 Yes on some days 3 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person sought or was available for work in those months that he or she was without work. IPUMS Made efforts to get work Made efforts to get work Made efforts to get work Made efforts to get work Made efforts to get work [7.1] Follow-up questions on availability for work to persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in question 3 of section 5.1 or section 5.2) [Questions 1-13 were asked of persons who worked, per question 3 of section 5.1 or section 5.2.] 8. If entry more than or equal to one in question 7 [If unemployed for more than or equal to one month, per question 7], sought/available for work during those months: [] 1 Yes: on most days [] 2 Yes: on some days [] 3 No 9. If code 1 or 2 in question 8 [If unemployed and sought/available for work during those months, per question 8], made any efforts to get work: [] 1 Registered in employment exchange [] 2 Other efforts [] 3 No effort Persons age 5+ who had 1 or more months in the last year without work 1 Registered in employment exchange 2 Other efforts 3 No effort 8 Unknown 9 NIU (not in universe) This variable indicates whether the person made an effort to get work. IPUMS Sought/available for additional work during days had work Sought/available for additional work during days had work Sought/available for additional work during days had work Sought/available for additional work during days had work Sought/available for additional work during days had work [7.1] Follow-up questions on availability for work to persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in question 3 of section 5.1 or section 5.2) [Questions 1-13 were asked of persons who worked, per question 3 of section 5.1 or section 5.2.] 10. Sought/available for additional work during the days he/she had work: [] 1 Yes: on most days [] 2 Yes: on some days [] 3 No Persons age 5+ whose principal or subsidiary activity was working 1 Yes on most days 2 Yes on some days 3 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person sought or was available for additional work during the days he or she had work. IPUMS Reason sought additional work Reason sought additional work Reason sought additional work Reason sought additional work Reason sought additional work [7.1] Follow-up questions on availability for work to persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in question 3 of section 5.1 or section 5.2) [Questions 1-13 were asked of persons who worked, per question 3 of section 5.1 or section 5.2.] 10. Sought/available for additional work during the days he/she had work: [] 1 Yes: on most days [] 2 Yes: on some days [] 3 No 11. If code 1 or 2 in question 10 [If sought/available for additional work during the days he/she had work, per question 10], reason: [] 1 To supplement income [] 2 Not enough work [] 3 Both [] 4 Others Persons age 5+ who sought or were available for additional work during the days the persons had work 1 Present work not remunerative enough 2 No job satisfaction 3 Lack of job security 5 Workplace too far 6 Wants wage/salary job 7 Others 8 Unknown 9 NIU (not in universe) This variable indicates the reason why the person sought additional work during the days the person had work. IPUMS Sought/available for alternative work during days worked Sought/available for alternative work during days worked Sought/available for alternative work during days worked Sought/available for alternative work during days worked Sought/available for alternative work during days worked [7.1] Follow-up questions on availability for work to persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in question 3 of section 5.1 or section 5.2) [Questions 1-13 were asked of persons who worked, per question 3 of section 5.1 or section 5.2.] 12. Sought/available for alternative work during the days he/she had work: [] 1 Yes: on most days [] 2 Yes: on some days [] 3 No Persons age 5+ whose principal or subsidiary activity was working 1 Yes on most days 2 Yes on some days 3 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person sought or was available for alternative work during the days he or she worked. IPUMS Reason sought alternative work Reason sought alternative work Reason sought alternative work Reason sought alternative work Reason sought alternative work [7.1] Follow-up questions on availability for work to persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in question 3 of section 5.1 or section 5.2) [Questions 1-13 were asked of persons who worked, per question 3 of section 5.1 or section 5.2.] 12. Sought/available for alternative work during the days he/she had work: [] 1 Yes: on most days [] 2 Yes: on some days [] 3 No 13. If code 1 or 2 in question 12 [If sought/available for alternative work during the days he/she had work, per question 12], reason: [] 1 Present work not remunerative enough [] 2 No job satisfaction [] 3 Lack of job security [] 4 Work place too far [] 5 Wants wage/salary job [] 9 Others Persons age 5+ who sought or were available for additional work during the days the persons had work 1 Present work not remunerative enough 2 No job satisfaction 3 Lack of job security 4 Workplace too far 5 Wants wage/salary job 6 Others 8 Unknown 9 NIU (not in universe) This variable indicates the reason why the person sought alternative work during the days they worked. IPUMS Any union/association in activity Any union/association in activity Any union/association in activity Any union/association in activity Any union/association in activity [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work 5. Is there any union/association? [] 1 Yes [] 2 No [] 9 Not known Persons age 5+ whose principal or subsidiary activity was working 1 Yes 2 No 3 Respondent did not know 8 Unknown 9 NIU (not in universe) This variable indicates whether there was any union/association where the person worked. IPUMS Member of union/association Member of union/association Member of union/association Member of union/association Member of union/association [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) 5. Is there any union/association? [] 1 Yes [] 2 No [] 9 Not known 6. If 'yes' in question 5 [If there is any union/association, per question 5.], whether a member of union/association: [] 1 Yes [] 2 No Persons age 5+ whose principal or subsidiary activity was working and there was a union/association at the place of work 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person was a member of a union/association. IPUMS Nature of employment Nature of employment Nature of employment Nature of employment Nature of employment [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work For code 11-51 in question 3 or 4 [Questions 7-8 were asked of persons who worked, per questions 3 or 4.] 7. Nature of employment: [] 1 Permanent [] 2 Temporary Persons age 5+ whose principal or subsidiary activity was working 1 Permanent 2 Temporary 8 Unknown 9 NIU (not in universe) This variable indicates whether the person's employment is permanent or temporary. IPUMS Covered under provident fund Covered under provident fund Covered under provident fund Covered under provident fund Covered under provident fund [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work For code 11-51 in question 3 or 4 [Questions 7-8 were asked of persons who worked, per questions 3 or 4.] 8. Whether covered under Provident Fund: [] 1 Yes: GPF [] 2 Yes: CPF [] 3 Yes: PPF [] 4 Yes: combination of GPF, CPF and PPF [] 5 No Persons age 5+ whose principal or subsidiary activity was working 1 Yes GPF 2 Yes CPF 3 Yes PPF 4 Combination of GPF, CPF and PPF 5 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the person was covered under a provident fund. IPUMS Changed activity status last 2 years Changed activity status last 2 years Changed activity status last 2 years Changed activity status last 2 years Changed activity status last 2 years [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work For codes 11-51 in question 3 Whether during last 2 years changed: [Questions 9-15 were asked of persons who worked, per questions 3.] 9. Work activity status: [] 1 Yes [] 2 No Persons age 5+ whose principal or subsidiary activity was working 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person changed the activity status during the last 2 years. IPUMS Previous activity status Previous activity status Previous activity status Previous activity status Previous activity status [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work For codes 11-51 in question 3 Whether during last 2 years changed: [Questions 9-15 were asked of persons who worked, per questions 3.] 9. Work activity status: [] 1 Yes [] 2 No 10. If 'yes' in question 9 [If during last 2 years the person changed work activity status, per question 9.], last activity status: [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work Persons age 5+ whose principal or subsidiary activity status was working and who have changed activity status in last 2 years 11 Own account worker 12 Employer 21 Worked as helper in h.h. enterprise (unpaid family worker) 31 Worked as regular salaried/wage employee 41 Worked as casual wage labor: in public works 51 In other types of work 99 NIU (not in universe) This variable indicates the person's previous activity status. IPUMS Changed industry last 2 years Changed industry last 2 years Changed industry last 2 years Changed industry last 2 years Changed industry last 2 years [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work For codes 11-51 in question 3 Whether during last 2 years changed: [Questions 9-15 were asked of persons who worked, per questions 3.] 11. Industry: [] 1 Yes [] 2 No Persons age 5+ whose principal or subsidiary activity was working 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person changed the industry during the last 2 years. IPUMS Previous industry Previous industry Previous industry Previous industry Previous industry [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work For codes 11-51 in question 3 Whether during last 2 years changed: [Questions 9-15 were asked of persons who worked, per questions 3.] 11. Industry: [] 1 Yes [] 2 No 12. If 'yes' in question 11 [If during last 2 years the person changed industry, per question 11], Last industry (2-digit codes as in NIC-1998) _ _ Persons age 5+ whose principal or subsidiary activity was working and who changed industry in last 2 years 1 Agriculture, hunting and related service activities 2 Forestry, logging and related service activities 5 Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing 10 Mining of coal and lignite; extraction of peat 11 Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying 12 Mining of uranium and thorium ores 14 Other mining and quarrying 15 Manufacture of food products and beverages 16 Manufacture of tobacco products 17 Manufacture of textiles 18 Manufacture of wearing apparel; dressing and dyeing of fur 19 Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear 20 Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials 21 Manufacture of paper and paper products 22 Publishing, printing and reproduction of recorded media 24 Manufacture of chemicals and chemical products 25 Manufacture of rubber and plastics products 26 Manufacture of other non-metallic mineral products 27 Manufacture of basic metals 28 Manufacture of fabricated metal products, except machinery and equipment 29 Manufacture of machinery and equipment n.e.c.* 30 Manufacture of office, accounting and computing machinery 31 Manufacture of electrical machinery and apparatus n.e.c. 32 Manufacture of radio, television and communication equipment and apparatus 33 Manufacture of medical, precision and optical instruments, watches and clocks 34 Manufacture of motor vehicles, trailers and semi-trailers 35 Manufacture of other transport equipment 36 Manufacture of furniture; manufacturing n.e.c. 40 Electricity, gas, steam and hot water supply 45 Construction 50 Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel 51 Wholesale trade and commission trade, except of motor vehicles and motorcycles 52 Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods 55 Hotels and restaurants 60 Land transport; transport via pipelines 61 Water transport 63 Supporting and auxiliary transport activities; activities of travel agencies 64 Post and telecommunications 65 Financial intermediation, except insurance and pension funding 66 Insurance and pension funding, except compulsory social security 67 Activities auxiliary to financial intermediation 70 Real estate activities 71 Renting of machinery and equipment without operator and of personal and household goods 72 Computer and related activities 74 Other business activities 75 Public administration and defense; compulsory social security 80 Education 85 Health and social work 90 Sewage and refuse disposal, sanitation and similar activities 91 Activities of membership organizations n.e.c. 92 Recreational, cultural and sporting activities 93 Other service activities 95 Private households with employed persons 98 Unknown 99 NIU (not in universe) This variable indicates the person's previous industry. IPUMS Changed occupation last 2 years Changed occupation last 2 years Changed occupation last 2 years Changed occupation last 2 years Changed occupation last 2 years [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work For codes 11-51 in question 3 Whether during last 2 years changed: [Questions 9-15 were asked of persons who worked, per questions 3.] 13. Occupation: [] 1 Yes [] 2 No Persons age 5+ whose principal or subsidiary activity was working 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person changed the occupation during the last 2 years. IPUMS Changed establishment last 2 years Changed establishment last 2 years Changed establishment last 2 years Changed establishment last 2 years Changed establishment last 2 years [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work For codes 11-51 in question 3 Whether during last 2 years changed: [Questions 9-15 were asked of persons who worked, per questions 3.] 15. Establishment: [] 1 Yes [] 2 No Persons age 5+ whose principal or subsidiary activity was working 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person changed the establishment during the last 2 years. IPUMS Reason for last change of industry or occupation Reason for last change of industry or occupation Reason for last change of industry or occupation Reason for last change of industry or occupation Reason for last change of industry or occupation [7.2] Follow-up questions on change of nature of work and/or establishment to persons working in the usual principal status or subsidiary status (activity - I) (i.e. those with codes 11-51 in question 3 of bl. 5.1 or bl. 5.2) Usual status [Questions 3-4.] 3. Principal (as in question 3 of section 5.1): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 81 Did not seek but was seeking and/or available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others 4. Subsidiary activity (as in question 3 of section 5.2): [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work For codes 11-51 in question 3 Whether during last 2 years changed: [Questions 9-15 were asked of persons who worked, per questions 3.] 15. Establishment: [] 1 Yes [] 2 No 16. If 'yes' in question 11 or 13 [If during last 2 years the person changed industry or occupation, per questions 11 or 13], reason for last change: [] 1 Loss of earlier job due to: retrenchment/lay-off [] 2 Loss of earlier job due to: closure of unit [] 3 For better income/remuneration [] 4 No job satisfaction [] 5 Lack of work in the enterprise (for self-employed) [] 6 Lack of job security [] 7 Work place too far [] 8 Promotion/transfer [] 9 Others Persons age 5+ whose principal or subsidiary activity was working and who changed industry or occupation in last 2 years 1 Loss of earlier job due to retrenchment/layoff 2 Loss of earlier job due to closure of unit 3 For better income/remuneration 4 No job satisfaction 5 Lack of work in the enterprise (self-employed) 6 Lack of job security 7 Workplace too far 8 Promotion/transfer 9 Others 98 Unknown 99 NIU (not in universe) This variable indicates the reason the person last changed the industry or occupation during the last 2 years. IPUMS Engaged in subsidiary activities Engaged in subsidiary activities Engaged in subsidiary activities Engaged in subsidiary activities Engaged in subsidiary activities 7. Engaged in any work in subsidiary capacity: [] 1 Yes [] 2 No Persons age 5+ 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person engaged in subsidiary activities. IPUMS Age Age Age Age Age 5. Age (year): ____ All persons Infants below one year 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 years or more 999 Unknown This variable indicates the person's age. IPUMS Total earnings Total earnings Total earnings Total earnings Total earnings Current day activity particulars [Questions 3 -18] Wage and salary earnings (received or receivable) for the work done during the week (Rs. 0.00) [Questions 15-17.] 15. ____ Cash 16. ____ Kind 17. ____ Total All persons This variable indicates the person's total earnings. IN99A462 is a 6-digit numeric variable. 999999 = Unknown. IPUMS Weekly status Weekly status Weekly status Weekly status Weekly status 20. Status: [] 11 Worked in household enterprise (self-employed): own account worker [] 12 Worked in household enterprise (self-employed): employer [] 21 Worked as a helper in household enterprise (unpaid family worker) [] 31 Worked as regular salaried/wage employee [] 41 Worked as casual wage labour: in public works [] 51 Worked as casual wage labour: in other types of work [] 61 Had worked in household enterprise but did not work due to sickness [] 62 Had worked in household enterprise but did not work due to other reasons [] 71 Had regular salaried/wage employment but did not work due to sickness [] 72 Had regular salaried/wage employment but did not work due to other reasons [] 81 Sought work [] 82 Did not seek but was available for work [] 91 Attended educational institution [] 92 Attended domestic duties only [] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.) sewing, tailoring, weaving etc., for household use [] 94 Rentiers, pensioners, remittance recipients etc. [] 95 Not able to work due to disability [] 96 Beggars, prostitutes [] 97 Others [] 98 Did not work due to temporary sickness (for casual workers only) Persons age 5+ 11 Worked in household enterprise (self-employed): own account worker 12 Worked in household enterprise (self-employed): employer 21 Worked as helper in household enterprise (unpaid family worker) 31 Worked as regular salaried/wage employee 41 Worked as casual wage labor: in public works 51 In other types of work 61 Had work in hh enterprise but did not work due to: sickness 62 Had work in hh enterprise but did not work due to: other reasons 71 Had regular salaried/wage employment but did not work due to: sickness 72 Had regular salaried/wage employment but did not work due to: other reasons 81 Sought work 82 Did not seek but was available for work 91 Attended educational institution 92 Attended domestic duties only 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, fire-wood, cattle feed, etc.), sewing, tailoring, weaving, etc. for household use 94 Rentiers, pensioners, remittance recipients, etc. 95 Not able to work due to disability 96 Beggars, prostitutes 97 Others 98 Did not work due to temporary sickness (for casual workers only) 998 Unknown 999 NIU (not in universe) This variable indicates the person's weekly status. The weekly activity status is what the person did during the 7 days preceding the survey. IPUMS Weekly industry (3-digit) Weekly industry (3-digit) Weekly industry (3-digit) Weekly industry (3-digit) Weekly industry (3-digit) Weekly industry (3-digit) Persons age 5+ whose weekly status was working or not working but had work 11 Growing of crops; market gardening; horticulture 12 Farming of animals 13 Growing of crops combined with farming of animals (mixed farming) 14 Agricultural and animal husbandry service activities, except veterinary activities 15 Hunting, trapping and game propagation including related service activities 20 Forestry, logging and related service activities 50 Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing 101 Mining and agglomeration of hard coal 102 Mining and agglomeration of lignite 103 Extraction and agglomeration of peat 111 Extraction of crude petroleum and natural gas 112 Service activities incidental to oil and gas extraction excluding surveying 120 Mining of uranium and thorium ores (e.g. pitchblende), including concentrating of such ores 131 Mining of iron ores 132 Mining of non-ferrous metal ores, except uranium and thorium ores 141 Quarrying of stone, sand and clay 142 Mining and quarrying , n.e.c. 151 Production, processing and preservation of meat, fish, fruit vegetables, oils and fats 152 Manufacture of dairy product 153 Manufacture of grain mill products, starches and starch products, and prepared animal feeds 154 Manufacture of other food products 155 Manufacture of beverages 160 Manufacture of tobacco products 171 Spinning, weaving and finishing of textiles 172 Manufacture of other textiles 173 Manufacture of knitted and crocheted fabrics and articles 181 Manufacture of wearing apparel, except fur apparel 182 Dressing and dyeing of fur; manufacture of articles of fur 191 Tanning and dressing of leather, manufacture of luggage handbags, saddlery and harness 192 Manufacture of footwear 201 Saw milling and planing of wood 202 Manufacture of products of wood, cork, straw and plaiting materials 210 Manufacture of paper and paper product 221 Publishing 222 Printing and service activities related to printing 223 Reproduction of recorded media 231 Manufacture of coke oven products 232 Manufacture of refined petroleum products 233 Processing of nuclear fuel 241 Manufacture of basic chemicals 242 Manufacture of other chemical products 243 Manufacture of man-made fibers 251 Manufacture of rubber products 252 Manufacture of plastic products 261 Manufacture of glass and glass products 269 Manufacture of non-metallic mineral products n.e.c. 271 Manufacture of basic iron and steel 272 Manufacture of basic precious and non-ferrous metals 273 Casting of metals 281 Manufacture of structural metal products, tanks, reservoirs and steam generators 289 Manufacture of other fabricated metal products; metal working service activities 291 Manufacture of general purpose machinery 292 Manufacture of special purpose machinery 293 Manufacture of domestic appliances, n.e.c. 300 Manufacture of office, accounting and computing machinery 311 Manufacture of electric motors, generators and transformers 312 Manufacture of electricity distribution and control apparatus 313 Manufacture of insulated wire and cable 314 Manufacture of accumulators, primary cells and primary batteries 315 Manufacture of electric lamps and lighting equipment 319 Manufacture of other electrical equipment n.e.c. 321 Manufacture of electronic valves and tubes and other electronic components 322 Manufacture of television and radio transmitters and apparatus for line telephony and line telegraphy 323 Manufacture of television and radio receivers, sound or video recording or reproducing apparatus, and associated goods 331 Manufacture of medical appliances and instruments and appliances for measuring, checking, testing, navigating and other purposes except optical instruments 332 Manufacture of optical instruments and photographic equipment 333 Manufacture of watches and clocks 341 Manufacture of motor vehicles 342 Manufacture of bodies (coach work) for motor vehicles; manufacture of trailers and semi-trailers 352 Manufacture of railway and tramway locomotives and rolling stock 353 Manufacture of aircraft and spacecraft 359 Manufacture of transport equipment n.e.c. 361 Manufacture of furniture 369 Manufacturing n.e.c. 371 Recycling of metal waste and scrap 372 Recycling of non-metal waste and scrap 401 Production, collection and distribution of electricity 402 Manufacture of gas; distribution of gaseous fuels through mains 403 Steam and hot water supply 410 Collection, purification and distribution of water 451 Site preparation 452 Building of complete constructions or parts thereof; civil engineering 453 Building installation 454 Building completion 455 Renting of construction or demolition equipment with operator 501 Sale of motor vehicles 502 Maintenance and repair of motor vehicles [including washing and polishing etc.] 503 Sale of motor vehicle parts and accessories 504 Sale, maintenance and repair of motorcycles and related parts and accessories 505 Retail sale of automotive fuel 511 Wholesale on a fee or contract basis 512 Wholesale of agricultural raw material, live animals, food beverages and tobacco 513 Wholesale of household goods 514 Wholesale of non-agricultural intermediate products, waste and scrap 515 Wholesale of machinery, equipment and supplies 519 Other wholesale [Includes specialized wholesale not covered in any one of the previous categories and wholesale in a variety of goods without any particular specialization.] 521 Non-specialized retail trade in stores 522 Retail sale of food, beverages and tobacco in specialized stores 523 Other retail trade of new goods in specialized stores 524 Retail sale of second-hand goods in stores [includes the pawn shops] 525 Retail trade not in stores 526 Repair of personal and household goods [Includes repair of personal and household goods when not done in combination with manufacture or wholesale or retail sale of these goods] 551 Hotels; camping sites and other provision of short-stay accommodation [Restaurant facilities operated in connection with the provision of lodging remain classified in this group. Also included are the operation of sleeping cars when carried on by sep[...] 552 Restaurants, bars and canteens 601 Transport via railways [Includes passenger and freight transport by inter-urban railways. Also covers related activities such as shunting and switching] 602 Other land transport 603 Transport via pipelines 611 Sea and coastal water transport 612 Inland water transport 621 Scheduled air transport 622 Non-scheduled air transport 630 Supporting and auxiliary transport activities; activities of travel agencies 641 Post and courier activities 642 Telecommunications 651 Monetary intermediation [This group includes the obtaining of funds in the form of deposits] 659 Other financial intermediation [This group includes financial intermediation other than that conducted by monetary institutions.] 660 Insurance and pension funding, except compulsory social security 671 Activities auxiliary to financial intermediation, except insurance and pension funding 672 Activities auxiliary to insurance and pension funding 701 Real estate activities with own or leased property 702 Real estate activities on a fee or contract basis 711 Renting of transport equipment 712 Renting of other machinery and equipment 713 Renting of personal and household goods n.e.c. 721 Hardware consultancy 722 Software consultancy and supply 723 Data processing 724 Database activities 725 Maintenance and repair of office, accounting and computing machinery 729 Other computer related activities 731 Research and experimental development on natural sciences and engineering (NSE) 732 Research and experimental development on social sciences and humanities (SSH) 741 Legal, accounting, book-keeping and auditing activities; tax consultancy; market research and public opinion polling; business and management consultancy 742 Architectural, engineering and other technical activities 743 Advertising 749 Business activities n.e.c. 751 Administration of the State and the economic and social policy of the community 752 Provision of services to the community as a whole 753 Compulsory social security activities 801 Primary education 802 General secondary education [ including special school-type education for handicapped students ] 803 Higher education [Includes post-secondary/senior secondary sub-degree level education that leads to university degree or equivalent.] 809 Adult and other education 851 Human health activities 852 Veterinary activities [including clinical-pathological and other diagnostic activities pertaining to animals and birds] 853 Social work activities 900 Sewage and refuse disposal, sanitation and similar activities 911 Activities of business, employers and professional organisations 912 Activities of trade unions 919 Activities of other membership organisations 921 Motion picture, radio, television and other entertainment activities 922 News agency activities 923 Library, archives, museums and other cultural activities 924 Sporting and other recreational activities 930 Other service activities 950 Private households with employed persons. [Includes the activities of private households employing all kinds of domestic personnel such as maids, cooks, gardeners , gatekeepers, secretaries, governess, baby sitters etc.] 990 Extra territorial organizations and bodies [Includes the activities of international organisations such as the United Nations and its agencies, regional bodies etc., IMF, World Bank, European Commission, OPEC etc.] 998 Unknown 999 NIU (not in universe) This variable indicates the 3-digit industry in which the person worked the previous week. IPUMS Location of workplace of principal activity Location of workplace of principal activity Location of workplace of principal activity Location of workplace of principal activity Location of workplace of principal activity Industry-occupation [Questions 4-6.] 4. Description ____ 5. Industry code as in NIC-1998 _ _ _ _ _ 6. Occupation code as in NCO-1968 _ _ _ Particulars of enterprise for persons with industry divisions 10 -99 in question 5 [Questions 9-18] 9. Location of workplace: [] 10 No fixed workplace Workplace in rural areas and located in: [] 11 Own dwelling [] 12 Own enterprise/unit/office/shop but outside own dwelling [] 13 Employer's dwelling [] 14 Employer's enterprise/unit/office/shop but outside employer's dwelling [] 15 Street with fixed location [] 16 Construction site [] 19 Others Workplace in urban areas and located in: [] 21 Own dwelling [] 22 Own enterprise/unit/office/shop but outside own dwelling [] 23 Employer's dwelling [] 24 Employer's enterprise/unit/office/shop but outside employer's dwelling [] 25 Street with fixed location [] 26 Construction site [] 29 Others Persons age 5+ whose principal industry worked in was enterprises 10 No fixed workplace 11 Workplace in rural areas; own dwelling 12 Workplace in rural areas; own enterprise/unit/office/shop but outside own dwelling 13 Workplace in rural areas; employer's dwelling 14 Workplace in rural areas; employer's enterprise/unit/office/shop but outside employer's dwelling 15 Workplace in rural areas; street with fixed location 16 Workplace in rural areas; construction site 19 Workplace in rural areas; others 21 Workplace in urban areas; own dwelling 22 Workplace in urban areas; own enterprise/unit/office/shop but outside own dwelling 23 Workplace in urban areas; employer's dwelling 24 Workplace in urban areas; employer's enterprise/unit/office/shop but outside employer's dwelling 25 Workplace in urban areas; street with fixed location 26 Workplace in urban areas; construction site 29 Workplace in urban areas; others 98 Unknown 99 NIU (not in universe) This variable indicates the location of the person's workplace for the principal activity. The principal activity is what the person spent the largest amount of time doing during the 365 days prior to the survey. IPUMS Enterprise type of principal activity Enterprise type of principal activity Enterprise type of principal activity Enterprise type of principal activity Enterprise type of principal activity Industry-occupation [Questions 4-6.] 4. Description ____ 5. Industry code as in NIC-1998 _ _ _ _ _ 6. Occupation code as in NCO-1968 _ _ _ Particulars of enterprise for persons with industry divisions 10 -99 in question 5 [Questions 9-18] 10. Enterprise type: Proprietary: [] 1 Male [] 2 Female Partnership: [] 3 With members from same household [] 4 With members from different household [] 5 Public sector [] 6 Semi-public [] 7 Others (includes co-operative society, public limited company, private limited company and other units covered under ASI) [] 9 Not known Persons age 5+ whose principal industry was non-agricultural 1 Proprietary: male 2 Proprietary: female 3 Partnership: with members from same household 4 Partnership: with members from different household 5 Public sector 6 Semi-public 7 Others 9 Not known (includes co-operative society, public limited company, private limited company and other units covered under ASI) 98 Unknown 99 NIU (not in universe) This variable indicates the enterprise type of the person's principal activity. The principal activity is what the person spent the largest amount of time doing during the 365 days prior to the survey. IPUMS Number of workers of principal activity Number of workers of principal activity Number of workers of principal activity Number of workers of principal activity Number of workers of principal activity Industry-occupation [Questions 4-6.] 4. Description ____ 5. Industry code as in NIC-1998 _ _ _ _ _ 6. Occupation code as in NCO-1968 _ _ _ Particulars of enterprise for persons with industry divisions 10 -99 in question 5 [Questions 9-18] 12. Number of workers: [] 1 Less than 6 [] 2 6 to 9 [] 3 10 and above but less than 20 [] 4 20 and above [] 9 Not known Persons age 5+ whose principal industry was non-agricultural 1 Less than 6 2 6 to 9 3 10 to 19 4 20 and above 7 Respondent did not know 8 Unknown 9 NIU (not in universe) This variable indicates the number of workers of principal activity. This number is the average number of workers employed on a day of operation irrespective of whether they are hired, household, paid or unpaid, who are involved in the production process. IPUMS Person weight Person weight Person weight Person weight Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Years residing in current locality Years residing in current locality Years residing in current locality Years residing in current locality Years residing in current locality Less than 1 year 1 1 year (or 1 year or less) 2 2 years 3 3 years 4 4 years 5 5 years 6 6 years 7 7 years 8 8 years 9 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years 19 19 years 20 20 years 21 21 years 22 22 years 23 23 years 24 24 years 25 25 years 26 26 years 27 27 years 28 28 years 29 29 years 30 30 years 31 31 years 32 32 years 33 33 years 34 34 years 35 35 years 36 36 years 37 37 years 38 38 years 39 39 years 40 40 years 41 41 years 42 42 years 43 43 years 44 44 years 45 45 years 46 46 years 47 47 years 48 48 years 49 49 years 50 50 years 51 51 years 52 52 years 53 53 years 54 54 years 55 55 years 56 56 years 57 57 years 58 58 years 59 59 years 60 60 years 61 61 years 62 62 years 63 63 years 64 64 years 65 65 years 66 66 years 67 67 years 68 68 years 69 69 years 70 70 years 71 71 years 72 72 years 73 73 years 74 74 years 75 75 years 76 76 years 77 77 years 78 78 years 79 79 years 80 80 years 81 81 years 82 82 years 83 83 years 84 84 years 85 85 years 86 86 years 87 87 years 88 88 years 89 89 years 90 90 years 91 91 years 92 92 years 93 93 years 94 94 years 95 95+ 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) MIGYRS1 indicates how many years the person has resided in their current locality of residence. IPUMS Reason for migration Reason for migration Reason for migration Reason for migration Reason for migration NIU (not in universe) 10 Work 11 Seeking work 12 Job relocation 13 Job assignment 14 Opportunity 15 Proximity to work 19 Other work 20 Family move 21 Follow household head 22 Follow spouse 23 Follow relative 30 Study 31 End of education 40 Marriage, divorce, widowhood 41 Marriage or union 42 Divorce or widowhood 50 Insecurity, disaster, or violence 51 War 52 Violence or insecurity 53 Social or political problems, including security 54 Natural disaster 57 Natural disaster or insecurity 58 Environmental/climatic 60 Other reason 61 Health 62 Repatriation 63 Retirement 64 House or flat acquisition 65 Housing problems 66 Visiting 67 Ordination 68 Military or institutional housing 69 Other reason, not elsewhere classified 99 Not specified MIGCAUSE indicates the reason why the person moved from their previous place of residence. IPUMS Migration status, previous residence Migration status, previous residence Migration status, previous residence Migration status, previous residence Migration status, previous residence NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. IPUMS Educational attainment, international recode [general version] Educational attainment, international recode [general version] Educational attainment, international recode [general version] Educational attainment, international recode [general version] Educational attainment, international recode [general version] NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. IPUMS Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. IPUMS Religion [general version] Religion [general version] Religion [general version] Religion [general version] Religion [general version] NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown RELIGION indicates the person's religion, including "none." IPUMS Religion [detailed version] Religion [detailed version] Religion [detailed version] Religion [detailed version] Religion [detailed version] NIU (not in universe) 1000 No religion 1001 Atheist 1002 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5001 Khadrya 5002 Layenne 5003 Mouride 5004 Tidjane 5005 Ahmadis 5006 Sunni 5007 Shiek 5008 Other Muslim 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentacostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6100 Other Christian, Austria 6101 Old Catholic 6102 Protestant, Augsburg confession 6103 Protestant, Westminster confession 6104 Protestant, Helvetic confession 6105 Greek Oriental 6106 Armenian Apostolic 6107 Other Protestant 6108 Christian Community for renewal 6109 Christian Community, not specified 6110 Other Christian, Brazil 6111 Christian Congregation of Brazil 6112 Brazilian Catholic Apostolic 6113 Brazil for Christ 6114 Foursquare Gospel 6115 Universal of the Kingdom of God 6116 House of the Blessing 6117 House of Prayer 6118 God is Love 6119 Maranata 6120 Other Christian, Brazil 1991 6121 Undetermined Protestant 6124 Other traditional Protestant 6125 Neo-Christian 6126 Other Neo-Christian 6127 Undetermined Christian 6128 Other Christian, Brazil 2000 6129 Other Catholic 6130 Renewed Evangelical Protestant without institutional ties 6131 Pentecostal Evangelical without institutional ties 6132 New Life Evangelical Protestant Pentecostal 6133 Evangelical Protestant Biblical Revival Pentecostal 6134 Chain Of Prayer Pentecostal 6135 Undetermined Evangelical Protestant 6136 Religion Of God 6137 Christian without institutional ties 6138 Other Christian, Canada 6139 Other Catholic 6140 United Church 6141 Protestant, not specified 6142 Other Protestant 6143 Other Christian, Germany 6144 Oriental Christian 6145 Other Christian, Ghana 6146 Other Christian, Iran 6147 Assyrian or Chaldean 6148 Armenian 6149 Other Christians 6150 Other Christian, Indonesia 6151 Other Christian 6152 Protestant/Other Christian 6153 Other Christian, Ireland 6154 Quaker 6155 Other Christian, Jamaica 6156 Brethren 6157 Church of God 6158 Church of God of Prophecy 6159 Other Church of God 6160 Moravian 6161 United Church 6162 Salvation Army 6163 New Testament 6164 Disciples of Christ 6165 Other Christian, Mexico 6166 Anabaptist 6167 Calvinist 6168 Cuaquera 6169 Disciples of Christ 6170 Christian Friendship Church 6171 Prayer House Church 6172 Faith Center 6173 Agape Force Church 6174 Alpha and Omega Church 6175 Living Water Church 6176 Apostolic Church 6177 Church of God 6178 Church of God of Prophecy 6179 Complete Gospel Church 6180 Evangelical Siblings Church 6181 Upper Room Church 6182 Pentacostal Indigenous Church 6183 Angular Stone Voice Church 6184 Pentacostal Missionary 6185 Christian 6186 Christian Societies 6187 Evangelical 6188 Evangelical Societies 6189 New Testament Evangelical 6190 Pentecostal 6191 Pentecostal Societies 6192 Independent Pentecostal 6193 Evangelical Christian Societies 6194 Pentecostal Christian Societies 6195 Evangelical Pentecostal Societies 6196 Evangelical Pentecostal Christian Societies 6197 Soldiers of Christ's Cross Church 6198 Tabernacle 6199 Traditionalists 6200 Other Evangelical Pentecostal Societies 6201 Pentecostal not clearly specified 6202 Living God, Light of the World 6203 Christian and Missionary Alliance 6204 Non-Pentecostal Apostolic 6205 Evangelical Associations 6206 Biblical 6207 Confraternities 6208 Christ Church 6209 Peace Grace and Misericordia Church 6210 Open Bible Church 6211 Holiness Church 6212 Evangelical Salem Church 6213 Beautiful Woman Dressed in the Sun 6214 Messianic Church 6215 Evangelical Ministers 6216 Evangelical Missionaries 6217 Evangelical Movements 6218 New Jerusalem 6219 World Vision Church 6220 Evangelical not clearly specified 6221 Biblical - non-evangelicals 6222 Other Christians not clearly specified 6223 Assumptionist 6224 Carmelite 6225 Claretian 6226 Conception Franciscan 6227 Maronite Diocese of Mexico 6228 Dominican 6229 Servants of Mary Immaculate 6230 Franciscan 6231 Guadalupan 6232 Daughters of the Immaculate Conception 6233 Jesuit 6234 Legionaries of Christ 6235 Divine Word Missionary 6236 Pauline 6237 Sacred Heart 6238 Saint Joseph of Tarbes 6239 Servant of the Lord and the Virgin 6240 Servant of Jesus 6241 Greek Catholic Church 6242 Reformed Roman Catholic Church 6243 Mexican National Catholic Church 6244 Tridentine Latin Rite Catholic Church 6245 Priestly Society Trento 6246 Mexican Catholic Union of Trento 6247 Anabaptist / Memnonite 6248 Anglican / Episcopal 6249 House of Prayer 6250 Center of Faith, Hope and Love of the Missionary Revival Crusade 6251 Center of Faith, Hope and Love Agape Force 6252 Salvation Army 6253 Independent Pentecostal Fellowship 6254 Upper Chamber Church 6255 Faith Apostolic Church of Jesus Christ 6256 Spiritual Christian Church 6257 Pentecostal Evangelical Christian Church 6258 Interdenominational Christian Church 6259 Church of God Full Gospel in Mexico 6260 Church of Jesus Christ on the Rock 6261 Christ Evangelical Pentecostal Church Rock of my Salvation 6262 Mexican Church of Christ's Gospel Pentecost 6263 United Pentecostal Church of Mexico 6264 Universal Church of the Kingdom of God 6265 Only Christ Savior Christian Church 6266 Independent Evangelical Pentecostal Movement 6267 Prince of Peace 6268 National Union of Evangelical Christian Churches (UNICE) 6269 Union of Independent Evangelical Churches 6270 Other associations Pentecostal 6271 Church of the Living God, Pillar and Support of Truth, the Light of the World 6272 Bible Church 6273 Interdenominational Christian Church in Mexico 6274 Church of Christ 6275 Honey Church of Christ 6276 Independent Evangelical Church in Mexico 6277 Renewed Church of Jesus Christ and the Apostles of Divine Love 6278 Other Christian and Evangelical associations without Pentecostal support 6279 Faith Christian Church 6280 Traditional Apostolic Catholic Holy Church Mexico-USA 6281 Mexican Apostolic Catholic Church 6282 Elias 6283 Spiritualistic 6284 Spiritualist 6285 Marian Trinitarian Spirituality 6286 Spirituality of the Third Age 6287 Christian Spiritual 6288 Judiciary Society Reign of Leonardo Alcalá Leos 6289 Spirituality for the Divine Master and the purity of Mary 6290 Light and Hope 6291 Holy Spirit, Purity, Love and Light 6292 Christian Science 6293 Other Christian, Netherlands 6294 Reformed Churches in The Netherlands 6295 Other Reformed 6296 Other Christian, Nicaragua 6297 Moravian 6298 Other Christian, Philippines 6299 Aglipay 6300 Bible Christian Committees 6301 Born-again Christian 6302 Bread of Life Ministries 6303 Charismatic Full Gospel Ministries 6304 Christ the Living Stone Fellowship 6305 Christian and Missionary Alliance 6306 Christians Missions 6307 Church of Christ 6308 Evangelical Christian Outreach Foundation 6309 Evangelical Free Church 6310 Filipino Assemblies of the First Born Inc. 6311 Foursquare Gospel 6312 Free Believers in Christ Fellowship 6313 Free Mission in the Philippines Inc. 6314 God World Mission 6315 Good News Christian Churches 6316 IEMELIF Reform Movement 6317 Iglesia Evangelista Methodista en Las 6318 Iglesia ni Cristo 6319 Jesus Christ Saves Global Outreach 6320 Jesus is Lord Church 6321 Jesus Reigns Ministries 6322 Love of Christ International Ministries 6323 Other evangelical 6324 Other Evangelical Church 6325 Other Protestants 6326 Philippine Evangelical Mission 6327 Philippine Grace Gospel Fellowship 6328 Philippines Benevolent Missionaries 6329 Potter's House Christian Center 6330 Salvation Army Philippines 6331 Take the Nation for Jesus Global Ministries (Corpus Christi) 6332 UNIDA Evangelical Church 6333 United Church of Christ in the Philippines 6334 United Evangelical Church of the Philippines (Chinese) 6335 Victory Chapel Christian Fellowship 6336 Wesleyan Church 6337 World Missionary Evangelism 6338 Worldwide Church of God 6339 Zion Christian Community Church 6340 Other Christian, Portugal 6341 Other Christian, Romania 6342 Greek Catholic 6343 Reformed Church 6344 Evangelic of Augustan Confession 6345 Evangelic Synodo-Presbyterian 6346 Christian of Old Rite 6347 Christian by Gospel 6348 Evangelic 6349 Other Christian, Rwanda 2002 6350 Other Christian, Sierra Leone 6351 Other Christian, South Africa 6352 Reformed 6353 International Fellowship of Christian Churches 6354 Apostolic Faith Mission of SA 6355 Other Apostolic Churches 6356 Pinkster Protestant Church 6357 Afrikaanse Protestant Church 6358 Full Gospel Church of God in Southern Africa 6359 Pentecostal Churches 6360 Salvation Army 6361 Bandla Lama Nazaretha 6362 African Methodist Episcopal Church 6363 St John's Apostolic Church 6364 International Pentecost Church 6365 Ethiopian type churches 6366 Ethnic churches 6367 Other African Independent Churches 6368 Other Christian Churches 6369 Other Catholic Churches 6370 Other Pentecostal Churches 6371 Other Orthodox Churches 6372 Other African Apostolic churches 6373 Other Assemblies 6374 Christian Scientist 6375 Christian Centres 6376 Other Evangelical Churches 6377 Other Charismatic Churches 6378 Other Christian, Uganda 6379 Other Christian 6380 Other Christian, Saint Lucia 6381 Church of God 6382 Other Christian, Senegal 6383 Other Christian 6384 Other Christian, Switzerland 6385 Other protestant churches and communities 6386 Christ-Catholic church 6387 Other Christian communities 6388 Other Christian non-Catholic, Uruguay 6389 Other Christian, Fiji 6390 Christian undefined 6391 Church of England 6392 Gospel Hall and Brethern 6393 CMF (Every Home) 6394 Salvation Army 6395 All Nations Christian Fellowship 6396 Apostles Gospel Outreach Fellowship 6397 Christian Outreach Centre 6398 Other Christian, Brazil 2010 6399 Salvation Army 6400 Other Christian, Cameroon 6401 Other Christian, Armenia 6402 Armenia apostolic 6403 Nestorian 6404 Molokai 6406 Other Christian, Paraguay 6408 Christian Community 6409 Free Brothers 6410 Church of God 6411 Church of God of Prophecy 6412 New testament 6414 God is love 6415 Universal Church of the Kingdom of God 6416 People of God 6417 Family worship center 6418 Pseudo-Christian groups 6419 Other Christian, Paraguay 7000 Other 7001 Bahai 7002 Sikh 7003 Other, Austria 7004 Unification Church, Austria 7005 Other, Brazil 7006 Spiritist 7007 Kardecist Spiritist 7008 Afro Spiritist 7009 Mediumistic Spiritist 7010 Umbandist Mediumistic 7011 Candomblecist Mediumistic 7012 Other Afro-Brazilian 7013 Oriental, Brazil 7014 New Oriental 7015 Oriental Seicho No-le 7016 Other Oriental, Brazil 7017 Esoteric, Brazil 7018 Indigenous, Brazil 7019 Other minority groups, Brazil 7020 Other, Canada 7021 Eastern religions, Canada 7022 Other, Chile 7023 Theosophism 7024 Shintoism 7025 Other, Germany 7026 Other, Germany 7027 Other, Ghana 7028 Traditional, Ghana 7029 Other, Guinea 7030 Animist 7031 Other, Guinea 7032 Other, India 7033 Jainism 7034 Zoroastrianism 7035 Other, India 7036 Other, Indonesia 7037 Confucianism 7038 Other, Indonesia 7039 Other, Iran 7040 Zoroastrian 7041 Other, Iran 7042 Other, Jamaica 7043 Muslim/Hindu 7044 Rastafarian 7045 Other, Israel 7046 Druse 7047 Other, Israel 7048 Other, Malaysia 7049 Confucianism/Taoism 7050 Tribal/Folk religion, Malaysia 7051 Other, Mexico 7052 Brahmanism 7053 Hare Krishna 7054 Shintoism 7055 Taoism 7056 Mexican Movements 7057 Ananda Marga 7058 Church of Scientology 7059 Masons 7060 Raelian Movement 7061 New Age Movement 7062 Neoisraelites 7063 Occultists 7064 Palmar of Troya 7065 Rose Cross 7066 Theosophism 7067 Spiritualist Special Keys 7068 Onkaranada Center 7069 Confucianism 7070 Shia 7071 Universal Great Brotherhood 7072 Esoteric Science 7073 Gnosticism 7074 Metaphysics 7075 Wicca 7076 Shamanism 7077 The Custom 7078 Mexicayotl 7079 Restorative Confederate Movement of Anahuac Culture 7080 African Origin 7081 Rastafarians 7082 Indigenous Religions 7083 Growing in Grace 7084 Eckankar 7085 Transcendental Meditation 7086 Mission Branch 7087 Children of God 7088 Sri Sathya Sai Baba 7089 Other new religious movements 7090 Other, Philippines 7091 Door of Faith 7092 Faith Tabernacle Church (Living Rock Ministries) 7093 International One Way Outreach 7094 Miracle Life Fellowship International 7095 Miracle Revival Church of the Philippines 7096 Philippine Good News Ministries 7097 Philippine Missionary fellowship 7098 Things to Come 7099 Way of Salvation 7100 Word of the World 7101 Tribal Religions, Philippines 7102 Other, Romania 7103 Unitarian 7104 Armenian 7105 Mosaic 7106 Other, Romania 7107 Other, Rwanda 7108 Traditional religion, Rwanda 7109 Other, Rwanda 7110 Other, Sierra Leone 7111 Traditional religion, Sierra Leone 7112 Other, South Africa 7113 African traditional belief 7114 Taoist 7115 Confucian 7116 New Age 7117 Other non-Christian, S. Africa 7118 Other, Uganda 7119 Traditional religion 7120 Other non-Christian, Uganda 7121 Other, United Kindom 7122 Other, Vietnam 7123 Hoa Hoa 7124 Cao Dai 7125 Other, Nepal 7126 Kirat 7127 Jain 7128 Garaute 7129 Tap jura 7130 Other, Pakistan 7131 Ahmadi 7132 Parsi 7133 Scheduled caste 7134 Other, Saint Lucia 7135 Rastafarian 7136 Other, Thailand 7137 Confucian 7138 Other, Uruguay 7139 Umbanda/other Afro-American 7140 Other, Uruguay 7141 Other, Burkina Faso 7142 Animist 7143 Other, Fiji 7144 Confucian 7145 Kabir Panthi 7146 Satya Sai Baba 7147 Bahai 7148 Other non-Christian, Fiji 7149 Other, Haiti 7150 Voodoo 7151 Other, Cameroon 7152 Animist 7153 Other, Liberia 7154 Traditional 7155 Other, Mali 7156 Animist 7157 Other, Nigeria 7158 Traditional 7159 Other, Armenia 7160 Pagan 7161 Shar-fadinian 7162 Other, Ethiopia 7163 Traditional 7164 Other, Ethiopia 7165 Other, Paraguay 7166 Philosophical revelations 7167 Indigenous religion 7168 Reyukai 7169 Other, Paraguay 7900 Other, not elsewhere classified 9999 Unknown RELIGION indicates the person's religion, including "none." IPUMS Country of previous residence Country of previous residence Country of previous residence Country of previous residence Country of previous residence NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Cape Verde 15160 Sierra Leone 15170 Togo 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India, Pakistan, Bangladesh, Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49999 Europe, n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 Unknown MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. IPUMS Year [person version] Year [person version] Year [person version] Year [person version] Year [person version] [This file is just a placeholder. See the household version of the variable.] This is a 4-digit numeric variable with 0 implied decimal places IPUMS IPUMS sample identifier [person version] IPUMS sample identifier [person version] IPUMS sample identifier [person version] IPUMS sample identifier [person version] IPUMS sample identifier [person version] [This file is just a placeholder. See the household version of the variable.] This is a 9-digit numeric variable with 0 implied decimal places IPUMS Household serial number [person version] Household serial number [person version] Household serial number [person version] Household serial number [person version] Household serial number [person version] [This file is just a placeholder. See the household version of the variable.] This is a 10-digit numeric variable with 0 implied decimal places IPUMS Country [person version] Country [person version] Country [person version] Country [person version] Country [person version] [This file is just a placeholder. See the household version of the variable.] This is a 3-digit numeric variable with 0 implied decimal places IPUMS Record type [person version] Record type [person version] Record type [person version] Record type [person version] Record type [person version] [This file is just a placeholder. See the household version of the variable.] This is a 1-digit numeric variable with 0 implied decimal places IPUMS