5th Census of Population 1992 DDI_SLV_1992_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. 5th Census of Population - IPUMS Subset 1992 PHC sv1992a (IPUMS Harmonized Subset) SLV_1992_PHC_v01_M_v7.6_A_IPUMS General Directorate of Statistics and Censuses IPUMS (c) Copyright 1992, General Directorate of Statistics and Censuses and Minnesota Population Center General Directorate of Statistics and Censuses Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Other Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Technical Person Variables -- PERSON Utilities Variables -- HOUSEHOLD Demographic Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Technical Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Other Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Work Variables -- PERSON Income Variables -- PERSON Fertility and Mortality Variables -- PERSON Disability Variables -- PERSON Migration: Global Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON September 27, 1992 27 September to 11 October 1992 El Salvador Municipality Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. - Households: Group of people who live as a family - Group quarters: This is a place or building where a group of people without family ties resides and share the space for reasons of lodging, health, education, military, religion, old age, orphanhood, etc. This includes hotels, boarding houses, guest houses, hospitals, homes for the elderly, internment schools, hospices, jails, etc. All people who live in the country and all households nationally. Homeless Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: El Salvador 1992 MICRODATA SOURCE: General Directorate of Statistics and Censuses SAMPLE SIZE (person records): 510760. SAMPLE DESIGN: Stratified systematic sample. Homeless Face-to-face [f2f] Census questionnaire containing questions on demographic and socio-economic characteristics of the population, dwelling unit characteristics, emigration, and mortality. de jure, CENSUS DAY: September 27, 1992 Self-weighting (expansion factor=10) IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. General Directorate of Statistics and Censuses Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: El Salvador, General Directorate of Statistics and Censuses. 5th Census of Population The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for sv1992a, 2025 SLV1992_PHC-H-H.dat Household records 125,695 ascii Minnesota Population Center Version 7.5, IPUMS sample SLV1992_PHC-P-H.dat Person records 510760 ascii Minnesota Population Center Version 7.5, IPUMS sample 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. H Household P Person Technical Household Variables -- HOUSEHOLD Country 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). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier 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). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- 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 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD 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. Technical Household Variables -- HOUSEHOLD Subsample number 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. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status 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. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each 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 Geography: Global Variables -- HOUSEHOLD 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD El Salvador, Department 1992 - 2007 [Level 1; consistent boundaries, GIS] GEO1_SV identifies the household's department within El Salvador in all sample years. Departments are the first level administrative units of the country. GEO1_SV is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_SV can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for El Salvador 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. 222001 Ahuachapán 222002 Santa Ana 222003 Sonsonate 222004 Chalatenango 222005 La Libertad 222006 San Salvador 222007 Cuscatlán 222008 La Paz 222009 Cabañas 222010 San Vicente 222011 Usulután 222012 San Miguel 222013 Morazán 222014 La Unión Geography: A-E Variables -- HOUSEHOLD El Salvador, Department 1992 [Level 1, GIS] GEO1_SV1992 identifies the household's department within El Salvador in 1992. Departments are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_SV1992 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for El Salvador can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001 Ahuachapán 002 Santa Ana 003 Sonsonate 004 Chalatenango 005 La Libertad 006 San Salvador 007 Cuscatlán 008 La Paz 009 Cabañas 010 San Vicente 011 Usulután 012 San Miguel 013 Morazán 014 La Unión Geography: A-E Variables -- HOUSEHOLD El Salvador, Municipality 1992 - 2007 [Level 2; consistent boundaries, GIS] GEO2_SV identifies the household's municipalities within El Salvador in all sample years. Municipalities are the second level administrative units of the country, after departments. GEO2_SV is spatially harmonized accounting for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_SV can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for El Salvador 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. 222001001 Ahuachapán, San Lorenzo 222001002 Turín, El Refugio, Atiquizaya 222001003 San Francisco Menéndez 222001004 Tacuba 222001005 Jujutla 222001006 San Pedro Puxtla, Guaymango 222001007 Apaneca, Concepción de Ataco 222002001 Santa Ana, San Sebastián Salitrillo 222002002 Metapán, San Antonio Pajonal, Santiago de la Frontera, Santa Rosa Guachipilín, Masahuat, Texistepeque 222002003 Chalchuapa 222002004 Coatepeque 222002005 Candelaria de la Frontera, El Porvenir 222002006 El Congo 222003001 San Julián, Izalco 222003002 Nahulingo, Sonsonate 222003003 Acajutla 222003004 Nahuizalco 222003005 Armenia 222003006 Santa Isabel Ishuatán, Cuisnahuat, Caluco 222003007 San Antonio del Monte 222003008 Sonzacate 222003009 Juayúa 222003010 Santa Catarina Masahuat, Salcoatitán, Santo Domingo de Guzmán 222004001 Agua Caliente, La Palma, San Ignacio, Citalá, San Fernando, San Francisco Morazán, Dulce Nombre de María 222004002 El Paraíso, San Rafael, Santa Rita, Concepción Quezaltepeque, Ojos de Agua, Comalapa, La Laguna, El Carrizal 222004003 Nueva Concepción 222004004 Chalatenango 222004005 Nueva Trinidad, Las Vueltas, San Isidro Labrador, Cancasque, Potonico, San Miguel de Mercedes, San Antonio Los Ranchos, Azacualpa, San Luis del Carmen, San Francisco Lempa, San Antonio de la Cruz, Nombre de Jesús, Las Flores, Arcatao 222004006 La Reina, Tejutla 222005001 Nuevo Cuscatlán, Santa Tecla 222005002 Colón 222005003 Sacacoyo, Ciudad Arce 222005004 San Juan Opico 222005005 Quezaltepeque 222005006 Jicalapa, Tamanique, Chiltiupán, Teotepeque 222005007 La Libertad 222005008 Antiguo Cuscatlán 222005009 San Matías, San Pablo Tacachico 222005010 San José Villanueva, Huizúcar 222005011 Jayaque, Tepecoyo 222005012 Zaragoza 222005013 Comasagua, Talnique 222006001 San Salvador 222006002 Soyapango 222006003 Mejicanos 222006004 Apopa 222006005 Ciudad Delgado 222006006 Ilopango 222006007 Tonacatepeque 222006008 San Martín 222006009 Cuscatancingo 222006010 San Marcos 222006011 Rosario de Mora, Panchimalco 222006012 Santo Tomás, Santiago Texacuangos 222006013 Ayutuxtepeque 222006014 Aguilares, El Paisnal 222006015 Nejapa 222006016 Guazapa 222007001 San Bartolomé Perulapía, San Pedro Perulapán 222007002 Cojutepeque 222007003 Suchitoto, Tenancingo, San José Guayabal, Oratorio de Concepción, El Rosario 222007004 San Rafael Cedros, El Carmen 222007005 San Cristóbal, Candelaria, San Ramón, Santa Cruz Analquito 222007006 Santa Cruz Michapa, Monte San Juan 222008001 Zacatecoluca, San Luis la Herradura 222008002 El Rosario, Santiago Nonualco 222008003 Olocuilta, San Juan Talpa, Cuyultitán 222008004 San Juan Nonualco, San Rafael Obrajuelo 222008005 San Antonio Masahuat, Tapalhuaca, San Francisco Chinameca, San Juan Tepezontes, San Emigdio, San Miguel Tepezontes 222008006 San Pedro Masahuat 222008007 San Pedro Nonualco, Santa María Ostuma, Paraíso de Osorio, Jerusalén, Mercedes la Ceiba 222008008 San Luis Talpa 222009001 San Isidro, Jutiapa, Tejutepeque, Cinquera, Sensuntepeque, Victoria, Guacotecti, Dolores 222009002 Ilobasco 222010001 San Vicente 222010002 San Sebastián, Verapaz, Santo Domingo, San Lorenzo, Tepetitán, San Cayetano Istepeque, Guadalupe 222010003 Apastepeque, San Ildefonso, Santa Clara, San Esteban Catarina 222010004 Tecoluca 222011001 Santa Elena, Ozatlán, Santa María, Ereguayquín, Usulután, San Dionisio 222011002 San Agustín, Jiquilisco, San Francisco Javier, Puerto El Triunfo 222011003 Santiago de María, Jucuapa, Alegría 222011004 Estanzuelas, Nueva Granada, El Triunfo, San Buenaventura, Mercedes Umaña 222011005 Berlín, Tecapán, California 222011006 Concepción Batres, Jucuarán 222012001 Quelepa, San Miguel, San Rafael Oriente, El Tránsito, Uluazapa, Comacarán 222012002 Nueva Guadalupe, Chinameca, San Jorge 222012003 Lolotique, Moncagua 222012004 Sesori, Nuevo Edén de San Juan, San Gerardo, San Luis de la Reina, Chapeltique 222012005 Carolina, San Antonio, Ciudad Barrios 222012006 Chirilagua 222013001 Guatajiagua, Sensembra, Yamabal, San Carlos, El Divisadero, Jocoro 222013002 Cacaopera, San Fernando, Arambala, Perquín, Jocoaitique, Torola, El Rosario, Meanguera, Joateca 222013003 Corinto, Sociedad 222013004 Chilanga, San Isidro, San Simón, Gualococti 222013005 Lolotiquillo, Delicias de Concepción, Yoloaiquín, Oscicala 222013006 San Francisco Gotera 222014001 Anamorós, Nueva Esparta, Lislique, Polorós, Concepción de Oriente 222014002 Conchagua, Meanguera del Golfo 222014003 San Alejo, Intipucá, El Carmen 222014004 La Unión 222014005 Santa Rosa de Lima 222014006 Pasaquina, El Sauce 222014007 Yucuaiquín, Bolívar, San José, Yayantique Geography: A-E Variables -- HOUSEHOLD El Salvador, Municipality 1992 [Level 2, GIS] GEO2_SV1992 identifies the household's municipality within El Salvador in 1992. Municipalities are the second level administrative units of the country, after departments. A GIS map (in shapefile format), corresponding to GEO2_SV1992 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for El Salvador can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001001 Ahuachapán, San Lorenzo 001002 Turín, El Refugio, Atiquizaya 001003 San Francisco Menéndez 001004 Tacuba 001005 Jujutla 001006 San Pedro Puxtla, Guaymango 001007 Apaneca, Concepción de Ataco 002001 Santa Ana, San Sebastián Salitrillo 002002 Metapán, San Antonio Pajonal, Santiago de la Frontera, Santa Rosa Guachipilín, Masahuat, Texistepeque 002003 Chalchuapa 002004 Coatepeque 002005 Candelaria de la Frontera, El Porvenir 002006 El Congo 003001 San Julián, Izalco 003002 Nahulingo, Sonsonate 003003 Acajutla 003004 Nahuizalco 003005 Armenia 003006 Santa Isabel Ishuatán, Cuisnahuat, Caluco 003007 San Antonio del Monte 003008 Sonzacate 003009 Juayúa 003010 Santa Catarina Masahuat, Salcoatitán, Santo Domingo de Guzmán 004001 Agua Caliente, La Palma, San Ignacio, Citalá, San Fernando, Dulce Nombre de María, San Francisco Morazán 004002 El Paraíso, San Rafael, Santa Rita, Concepción Quezaltepeque, Ojos de Agua, Comalapa, La Laguna, El Carrizal 004003 Nueva Concepción 004004 Chalatenango 004005 Nueva Trinidad, Las Vueltas, San Isidro Labrador, Cancasque, Potonico, San Miguel de Mercedes, San Antonio los Ranchos, Azacualpa, San Luis del Carmen, San Francisco Lempa, San Antonio de la Cruz, Nombre de Jesús, Las Flores, Arcatao 004006 La Reina, Tejutla 005001 Nuevo Cuscatlán, Santa Tecla 005002 Colón 005003 Sacacoyo, Ciudad Arce 005004 San Juan Opico 005005 Quezaltepeque 005006 Jicalapa, Tamanique, Chiltiupán, Teotepeque 005007 La Libertad 005008 Antiguo Cuscatlan 005009 San Matías, San Pablo Tacachico 005010 San José Villanueva, Huizúcar 005011 Jayaque, Tepecoyo 005012 Zaragoza 005013 Comasagua, Talnique 006001 San Salvador 006002 Soyapango 006003 Mejicanos 006004 Apopa 006005 Ciudad Delgado 006006 Ilopango 006007 Tonacatepeque 006008 San Martín 006009 Cuscatancingo 006010 San Marcos 006011 Rosario de Mora, Panchimalco 006012 Santo Tomás, Santiago Texacuangos 006013 Ayutuxtepeque 006014 Aguilares, El Paisnal 006015 Nejapa 006016 Guazapa 007001 San Bartolomé Perulapía, San Pedro Perulapán 007002 Cojutepeque 007003 Suchitoto, Tenancingo, San José Guayabal, Oratorio de Concepción, El Rosario 007004 San Rafael Cedros, El Carmen 007005 San Cristóbal, Candelaria, San Ramón, Santa Cruz Analquito 007006 Santa Cruz Michapa, Monte San Juan 008001 Zacatecoluca, San Luis la Herradura 008002 El Rosario, Santiago Nonualco 008003 Olocuilta, San Juan Talpa, Cuyultitán 008004 San Juan Nonualco, San Rafael Obrajuelo 008005 San Antonio Masahuat, Tapalhuaca, San Francisco Chinameca, San Juan Tepezontes, San Emigdio, San Miguel Tepezontes 008006 San Pedro Masahuat 008007 San Pedro Nonualco, Santa María Ostuma, Paraíso de Osorio, Jerusalén, Mercedes la Ceiba 008008 San Luis Talpa 009001 San Isidro, Jutiapa, Tejutepeque, Cinquera, Sensuntepeque, Victoria, Guacotecti, Dolores 009002 Ilobasco 010001 San Vicente 010002 San Sebastián, Verapaz, Santo Domingo, San Lorenzo, Tepetitán, San Cayetano Istepeque, Guadalupe 010003 Apastepeque, San Ildefonso, Santa Clara, San Esteban Catarina 010004 Tecoluca 011001 Santa Elena, Ozatlán, Santa María, Ereguayquín, Usulután, San Dionisio 011002 San Agustín, Jiquilisco, San Francisco Javier, Puerto El Triunfo 011003 Santiago de María, Jucuapa, Alegría 011004 Estanzuelas, Nueva Granada, El Triunfo, San Buenaventura, Mercedes Umaña 011005 Berlín, Tecapán, California 011006 Concepción Batres, Jucuarán 012001 Quelepa, San Miguel, San Rafael Oriente, El Tránsito, Uluazapa, Comacarán 012002 Nueva Guadalupe, Chinameca, San Jorge 012003 Lolotique, Moncagua 012004 Sesori, Nuevo Edén de San Juan, San Gerardo, San Luis de la Reina, Chapeltique 012005 Carolina, San Antonio, Ciudad Barrios 012006 Chirilagua 013001 Guatajiagua, Sensembra, Yamabal, San Carlos, El Divisadero, Jocoro 013002 Cacaopera, San Fernando, Arambala, Perquín, Jocoaitique, Torola, El Rosario, Meanguera, Joateca 013003 Corinto, Sociedad 013004 Chilanga, San Isidro, San Simón, Gualococti 013005 Lolotiquillo, Delicias de Concepción, Yoloaiquín, Oscicala 013006 San Francisco Gotera 014001 Anamorós, Nueva Esparta, Lislique, Polorós, Concepción de Oriente 014002 Conchagua, Meanguera del Golfo 014003 San Alejo, Intipucá, El Carmen 014004 La Unión 014005 Santa Rosa de Lima 014006 Pasaquina, El Sauce 014007 Yucuaiquín, Bolívar, San José, Yayantique Geography: A-E Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Number of international migrants INTMIG1 indicates the number of people from the household who traveled to another country to live and have not permanently returned. 00 No migrants 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 or more 98 Unknown 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Trash disposal This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner. 00 NIU (not in universe) 10 Collected by a sanitation service 11 Collected directly from the household or dwelling 12 Collected indirectly from a garbage container or deposit 13 Collected by a sanitation service only 14 Collected by a sanitation service and disposed of in some other manner 20 Disposed of in some other manner 21 Burned or buried 22 Burned 23 Buried 24 Thrown into street, vacant land, or common area 25 Thrown into river, lake, ocean, lagoon, etc. 26 Thrown into canyon or gulley 27 Dumped in pit 28 Communal refuse dump 29 Own refuse dump 30 Authorized refuse dump 31 Illegal refuse dump 32 Other dumping 33 Outside 34 In the fields 35 Fed to animals 36 Composted 37 Heap 38 Garden 39 Other, none 99 Unknown/missing Utilities Variables -- HOUSEHOLD Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Clothes washing machine WASHER indicates whether the household had a clothes washing machine. 0 NIU (not in universe) 1 No 2 Yes 3 Automatic or semi-automatic 4 Wringer or other non-automatic 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material FLOOR indicates the dwelling's predominant flooring material. 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Roof material This variable indicates the dwelling's predominant roofing material. 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Number of deaths in household last year MORTNUM indicates the number of deaths in the household in the past year. 0 None 1 1 death 2 2 deaths 3 3 deaths 4 4 deaths 5 5 deaths 6 6 deaths 7 7 or more deaths 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Any deaths in household last year ANYMORT indicates whether there were any deaths in the household in the past year. 1 Yes 2 No 8 Unknown/missing 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Household classification 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. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 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 Constructed Household Variables -- HOUSEHOLD Number of married couples in household 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). 0 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 Constructed Household Variables -- HOUSEHOLD Number of 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). 0 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 Constructed Household Variables -- HOUSEHOLD Number of 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). 0 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 Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number El Salvador 1992: All records This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household El Salvador 1992: All records This variable indicates the number of persons in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 26 26 28 28 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household El Salvador 1992: All records This variable indicates if the dwelling was created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Member of household died during this or past year <svar v="SV92A032 SV92A033 SV92A034 SV92A035 SV92A068 ">IV. Mortality and migration [Section IV was asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A032 SV92A068" a="all">1. Mortality 1. Did any member of this household die during the last year or this year? (Do not forget to ask about children and elderly persons) <div class="i1">[] 1 Yes - give details in table below [] 2 No - skip to migration [] 3 Unknown - skip to migration</div> <div class="i1">Person number ____ Name and surnames ____ Date of death: <div class="i2">Day ____ Month____ Year ____</div> Sex <div class="i2">[] 1 Male [] 2 Female</div> ____ Age at death (put "00" for those younger than 1 and "98" for those 98 or older)</div> </svar> <svar v="SV92A032 SV92A068" a="all">4.4.1 Mortality Have any of the members of this household died last year or in the present year? <div class="i1">People who died in the period between January 1st of the last year and just before the date of the census, including children and elderly people, will be registered.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: type I trace; type II trace] This variable indicates if there was a death of a household member during this or the past year (1991-92). 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Member of household resides in another country <svar v="SV92A032 SV92A033 SV92A034 SV92A035 SV92A068 ">IV. Mortality and migration [Section IV was asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A033 SV92A034 SV92A035" a="all">2. Migration 1. Does any member of this household live in another country? <div class="i1">[] 1 Yes [] 2 No</div> 2. How many live in another country? <div class="i1">____ Males ____ Females</div> </svar> <svar v="SV92A033 SV92A034 SV92A035" a="SV92A033">4.4.2 Migration Is there any member of the household who resides in another country? <div class="i1">This will be answered affirmatively if the person listed the household as their residence upon leaving the country and if they emigrated one month or more before with the intention of living permanently in another country.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: type I trace; type II trace] This variable indicates if there is a household member that resides in another country. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Number of females residing in another country <svar v="SV92A032 SV92A033 SV92A034 SV92A035 SV92A068 ">IV. Mortality and migration [Section IV was asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A033 SV92A034 SV92A035" a="all">2. Migration 1. Does any member of this household live in another country? <div class="i1">[] 1 Yes [] 2 No</div> 2. How many live in another country? <div class="i1">____ Males ____ Females</div> </svar> <svar v="SV92A033 SV92A034 SV92A035" a="SV92A033">4.4.2 Migration Is there any member of the household who resides in another country? <div class="i1">This will be answered affirmatively if the person listed the household as their residence upon leaving the country and if they emigrated one month or more before with the intention of living permanently in another country.</div> </svar> <svar v="SV92A034 SV92A035" a="all">2. How many people live in another country? <div class="i1">If the previous question was answered affirmatively the number of people living in another country will be asked, disaggregating the answer by gender.</div> </svar> El Salvador 1992: Occupied private households with member(s) living abroad [discrepancies: none] This variable indicates the number of female household members residing in another country. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7+ 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Number of males residing in another country <svar v="SV92A032 SV92A033 SV92A034 SV92A035 SV92A068 ">IV. Mortality and migration [Section IV was asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A033 SV92A034 SV92A035" a="all">2. Migration 1. Does any member of this household live in another country? <div class="i1">[] 1 Yes [] 2 No</div> 2. How many live in another country? <div class="i1">____ Males ____ Females</div> </svar> <svar v="SV92A033 SV92A034 SV92A035" a="SV92A033">4.4.2 Migration Is there any member of the household who resides in another country? <div class="i1">This will be answered affirmatively if the person listed the household as their residence upon leaving the country and if they emigrated one month or more before with the intention of living permanently in another country.</div> </svar> <svar v="SV92A034 SV92A035" a="all">2. How many people live in another country? <div class="i1">If the previous question was answered affirmatively the number of people living in another country will be asked, disaggregating the answer by gender.</div> </svar> El Salvador 1992: Occupied private households with member(s) living abroad [discrepancies: none] This variable indicates the number of male household members residing in another country. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7+ 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Type of dwelling <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 1. Dwelling type <svar v="SV92A036" a="all"><div class="i1">a. Private</div> <div class="i2">[] 1 Independent house [] 2 Apartment [] 3 Room in a house [] 4 Room in a boarding house (pieza de meson) [] 5 Rustic shack or hut (rancho or choza) [] 6 Improvised dwelling [] 7 Place not designed for human habitation [] 8 Other (mobile home, tent, settlement (refugio), etc.) [] 9 Homeless</div> <div class="i1">b. Collective</div> <div class="i2">[] 10 Hotel [] 11 Hospital or clinic [] 12 Contract housing for students (pupilaje) [] 13 Home for elderly [] 14 Guesthouse [] 15 Prison [] 16 Barracks [] 17 Convent or monastery [] 18 Other (specify) ____</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A036" a="all">4.2.1 Type of household Type of household will be understood by the way in which each house is made. For the purpose of the census, they will be divided into two large groups: private and collective households A) Single family [private] households Single family households are places designed to be used as dwellings for one person or a group of people who live as a family. This household could be: house, apartment, room within a house, room in an inn, shack, an improvised house, a place not designed for human dwelling, other (mobile home, tent, refuge, etc.) <div class="i1">House: This is a household with direct access to the street, alley or sidewalk, made with long-lasting materials and usually located in a structure commonly designed for the lodging of one family group. It can be found connected or separated with other household units and it has its own toilet, bathroom and kitchen. This household will be recorded as occupied or unoccupied at the time of the enumeration.</div> [pg. 13] <div class="i1">Apartment: This is a household unit made of long-lasting materials that is part of a building of one or more floors, and that contains two or more dwellings. It has access to the street through a corridor, hallway, or stair. It offers an individual washroom, toilet and kitchen. It will be counted even if it is unoccupied. Room in a house: This is a dwelling that is part of a structure that is made with long-lasting materials, and that can have two or three dwelling areas; the bathroom, washroom and kitchen are shared between all the households in the building. Generally found in independent households that have been remodeled to allow for lodging for two or three different family groups. There may be street access through corridors, hallways or places considered common areas by occupants. Room in a boarding house: This is a dwelling that is part of a structure which has at minimum four living units. It is made with long-lasting materials and has a shared bathroom, washroom and kitchen for all dwellings in the inn/hotel. In general this would be a single room with street access through a yard, hallway or corridor.</div> [pg. 14] <div class="i1">Shack: This is a dwelling made with bamboo, palm or nopal leaves, grass or other vegetation. Generally found in rural areas, in order to be enumerated it must be occupied at the time of the census, and as such unoccupied shacks or huts will not be enumerated. Improvised dwelling: Any dwelling made with waste materials: pieces of wood, old aluminum sheets, cardboard, etc., which doesn't meet building standards. To be enumerated it must be occupied at the time of the census. They are principally located in poorer communities of urban areas, and sometimes in rural areas. If abandoned, it will not be counted. Places not designed for human habitation: This is a building built with long-term materials that has not been renovated, adapted or transformed to be used as a dwelling, but at the time of the census is being used as such. This type of dwelling can occupy some or all of stables, workshops, offices, factories, warehouse, garage, etc. Other (mobile homes, tents, refuge, etc.): Includes any structure used for dwelling/shelter not considered in the previous categories, such as: mobile homes, tents, shelter, boxcar, boat, etc. Homeless: This option can be marked for one person or group of people lacking a dwelling and who occupy that area to sleep: doorways, church atriums, beneath bridges, parks, public dormitories, etc.</div> [pg. 15] B) Collective housing This is a place or building where a group of people without family ties resides and share the space for reasons of lodging: health, education, military, religion, old age, orphan status, etc. This includes hotels, boarding houses, guest houses, hospitals, homes for the elderly, internment schools, hospices, jails, etc. <div class="i1">Hotel: This is any building commonly known as hotel which lodges people passing through; however, there are some people who live permanently in the hotel, who will be enumerated as residents, excepting those employees who have been assigned an apartment to live with their family, which will be considered an "apartment" in single family households, but if the place where they live is completely separated from the main building it will be enumerated as a "house". Both situations will be registered on separate ballots from the collective housing. Hospital or clinic: In this case the hospitals and clinics that have patients who have more than six months of hospitalization and the hospital or clinic has become their place of residence. If there are administrative personnel who live in the hospital center, alone or with their family in a unit within or outside of the hospital center, that will be considered a single family household.</div> [pg. 16] <div class="i1">Boarding house: Dwellings will be classified as boarding houses if they have more than 5 boarders who are generally students, and if they are run by the owner of the dwelling, who provides food, cleaning services, and in some cases laundry services. If there are fewer than 5 boarders, [the dwelling] will be classified as a "house" or "apartment", as appropriate. Home or institution for the elderly: Homes are places where the elderly of one gender or another live permanently. The administrative personnel, who live in a separate unit, whether alone or with their family, will be enumerated as a single family household. Guest house: This is a building commonly known as a guest house which lodges people who generally are passing through; however, there are some people who live permanently in this place who will be enumerated. If the owner and other employees live in the house, alone or with their family, they will be enumerated as residents of a single family household. Prison: This is the place where there are prisoners and, for the purpose of the census, only those sentenced to a period six months or longer will be enumerated; this also includes service personnel who are lodged collectively there. Each one of these groups will be enumerated on separate ballots, but within the same collective housing.</div> [pg. 17] <div class="i1">Barracks: This is any place occupied by people belonging to the armed forces and other groups responsible for public safety. For census purposes, only those who live regularly in this place will be enumerated. Convent or monastery: This is the premises where groups of people who are united for religious reasons, academic or spiritual study, and without any family ties regularly reside. Usually these places are run by nuns, priests or brothers of another order. Other: This category includes all the collective housing that is not outlined in the previous housing types, such as: homes for children and adolescents, orphanages, brothels, physical or mental rehabilitation centers, etc.</div> </svar> El Salvador 1992: All households This variable indicates the type of dwelling in which the household resides. 01 Independent house 02 Apartment 03 Space in a house [pieza en casa] 04 Space in a boarding house [pieza en meson] 05 Rustic shack or hut 06 Improvised dwelling 07 Place not designed for habitation 08 Other private dwelling 10 Hotel 11 Hospital or clinic 13 Home for elderly 15 Prison 16 Barracks 17 Convent/monastery 18 Other collective dwelling Group Quarters Variables -- HOUSEHOLD Material of walls <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A040" a="all">1. What is the predominant material in the exterior walls of the dwelling? <div class="i1">[] 1 Concrete or mixed cement [] 2 Wattle and daub (bahareque) [] 3 Adobe [] 4 Wood [] 5 Metal sheet [] 6 Straw, palm, or other plant material [] 7 Waste materials [] 8 Other (specify) ____</div> </svar> 4.2.3 Household characteristics These characteristics refer exclusively to single family [private] households. The first two questions of this part of the ballot will be answered by the enumerator using simple observation, before introducing themselves to the occupants of the household; however, if there are any doubts, they can consult with the informant in the household. <svar v="SV92A040" a="all">1. Walls What material are most of the walls of this household made of? Only the exterior walls of the household will be considered and, when these have a covering, care will be taken to note the base material that they are actually made of. <div class="i1">Concrete or mixed: A concrete wall is made with gravel, sand and cement in a steel frame and a mixed wall is made with white brick or concrete blocks, sand, and cement, held up by concrete columns and beams. Bahareque: This is a wall made of a base of dirt mixed with dried grass or pieces of clay tiles, supported with a frame made mostly of walnut poles or a similar material. Adobe: Adobe has a form similar to a brick but with larger dimensions than this. It is made with a base of dirt mixed with dried grass, which flatten into molds and then dried in the sun. The adobe blocks are stuck together with mud.</div> [pg. 20] <div class="i1">Wood: Generally made with planks and held up by small or large beams. Metal sheets: These sheets can be smooth or with grooves commonly supported by a wooden frame. Straw, palm leaf or other vegetation: This kind of material is used for building huts and shacks, usually located in rural areas. Waste materials: This type of material is found in poor housing and refers to pieces of wood, metal sheets, plastics, etc. Other: Materials not included in the previous categories will be noted, such as: asbestos sheets, canvas, etc.</div> </svar> El Salvador 1992: Non-homeless private households [discrepancies: none] This variable indicates the primary construction material of the dwelling's walls. 1 Concrete or mixed cement 2 Wattle and daub [bahareque] 3 Adobe 4 Wood 5 Metal sheet 6 Straw, palm, or other plant material 7 Waste materials 8 Other 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Lighting type <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A041" a="all">10. What type of lighting is used in the dwelling? <div class="i1">[] 1 Electricity [] 2 Kerosene (gas) [] 3 Other (specify) ____</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A041" a="all">10. Type of lighting What type of lighting is used in this household? <div class="i1">Electricity: The supply of electric energy could come from a public main or from private electric generators. Kerosene (gas): This fuel is used for different lamps (both common and Coleman), including oil lamps. Other: Types of lighting not included in the previous categories will be noted, such as: flame or candle, carbon, propane gas, alcohol, etc.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates the type of lighting that the household uses. 1 Electricity 2 Kerosene 3 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Number of rooms <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A042" a="all">11a. How many rooms does the household have, not counting bath, hallway, kitchen or garage? <div class="i1">____ Number</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A042" a="all">11a. Total number of rooms How many rooms does the household have, excluding the bathroom, corridor, kitchen or garage? <div class="i1">A room is a space in the household that is enclosed by walls made with any type of material. The following should be counted as rooms: the living room, dining room, bedrooms, study and other rooms used by the occupants of the household. Despite this statement, rooms that should not be included in the count, besides the bathroom, corridor, kitchen and garage, are those rooms occupied exclusively for commercial, industrial, artisan and professional purposes (storage, workshop, office, etc.). In the case of the garage, this will be considered a room if it is only used as a dwelling space by the occupants of the house or by people who pay rent for the same thing.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates the number of rooms that the household occupies. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A043" a="all">11b. Of the total rooms, how many are used as bedrooms? <div class="i1">____ Number</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A043" a="all">11b. Bedrooms Of the total number of rooms, how many are used as bedrooms? <div class="i1">The rooms in the household that will be counted as bedrooms are all those that are used exclusively as bedrooms, as well as partially used, such that in the case of a family that lives in one room in an inn, this will be considered the bedroom, where the number of rooms coincides with the number of bedrooms.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates the number of bedrooms that the household occupies. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11+ 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A044" a="all">11c. Is there a separate room exclusively for cooking? <div class="i1">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A044" a="all">11c. Cooking rooms Is there a room just for cooking? <div class="i1">This will be answered affirmatively when the space where the stove is installed is completely closed in by walls and is used exclusively for preparing food.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a kitchen. 1 Yes 2 No 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Tenure status <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A045" a="all">12. What is the form of tenure of the dwelling? <div class="i1">[] 1 Owned [] 2 Owned, paying in installments [] 3 Rented [] 4 Other tenure</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A045" a="all">12. Tenure of the dwelling What is the form of tenure of the dwelling? <div class="i1">Owned by resident(s): The head of the family or some family occupant of the household is the owner. Owned by resident(s) paying installments: The head of the family or some family occupant of the household is paying in installments to become the owner of the dwelling. Rented: The head of the family or some family occupant of the household pays some value in exchange for renting. Other type of tenure: This is another status of ownership not included in the previous categories, for example: when the dwelling is occupied without any payment to the owner.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates the type of tenure that the household has over the dwelling. 1 Owned 2 Owned, paying in installments 3 Rented 4 Other 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A046" a="all"><div class="i1">Radio</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a radio. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A047" a="all"><div class="i1">Television</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a television. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Telephone <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A048" a="all"><div class="i1">Telephone</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a telephone. 1 Yes 2 No 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Refrigerator <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A049" a="all"><div class="i1">Refrigerator</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a refrigerator. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Washing machine <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A050" a="all"><div class="i1">Washing machine</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a washing machine. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Sewing machine <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A051" a="all"><div class="i1">Sewing machine</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a sewing machine. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Blender <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A052" a="all"><div class="i1">Blender</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a blender. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Stereo/sound equipment <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A053" a="all"><div class="i1">Stereo equipment</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has stereo/sound equipment. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Fan <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A054" a="all"><div class="i1">Fan</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a fan. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Automobile <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A055" a="all"><div class="i1">Automobile</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has an automobile. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Motorcycle <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">13. Which of the following appliances and/or vehicles are there in the dwelling? </svar> <svar v="SV92A056" a="all"><div class="i1">Motorcycle/motor scooter</div> <div class="i2">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A036 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056">4.2 Household information Household: All places defined by walls and roofs where one or more people live regularly, that is where they sleep, cook and protect themselves from the elements. Also people can enter and leave the mentioned without passing through another house, having direct access from the street, passage, path or passing through common areas such as patios, hallways, corridors or stairs. </svar> <svar v="SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056" a="all">13. Appliances in the household Which of the follow appliances and/or vehicles are there in the household? <div class="i1">In this question all questions should be answered, whether the answer is negative or positive.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether the household has a motorcycle. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Waste removal <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A057" a="all">14. How is garbage removed? <div class="i1">[] 1 Municipal service [] 2 Private service [] 3 Incinerated [] 4 Buried [] 5 Thrown anywhere</div> </svar> <svar v="SV92A057" a="all">14. Garbage disposal How is the garbage disposed of? <div class="i1">Municipal service: This option will be marked when the occupants of the household place the garbage in front of their house or in a municipal drop off point so that garbage collectors managed by the city or township of the area can move it to an incinerator or other destination for its elimination. Private service: When the residents of the community pay a person or business to remove garbage from their houses and transport it to places outside of the community. Incineration: The occupants of the household burn the garbage. Buried: The occupants of the household bury the garbage. Thrown anywhere: The occupants of the household, either personally or via other people, throw the garbage in waste land, the street, rivers, streams, their own property, etc. This category includes those who throw garbage in unauthorized places, even though later municipal sanitation trucks will pick it up. If one household uses more than one method of those mentioned to dispose of their trash, the informant will be asked which method they use the most.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates how the household disposes of its waste. 1 Municipal service 2 Private service 3 Incineration 4 Buried 5 Thrown anywhere 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Crafts/industry in dwelling <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A058" a="all">15. Does anyone living here do artisan (handicraft) activities or home-based industry in the dwelling? <div class="i1">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A058" a="all">15. Crafts and industry in the house Is there anyone who lives here who is involved in any craft or home-based industry in the house? <div class="i1">If in the household enumerated someone makes sweets, furniture, cigars, flower arrangements, tortillas, pupusas, hats, hammocks, baskets, clay items, bags, fireworks, ceramics, etc. to be sold to the public, this option will be marked affirmatively.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates whether there is a household member that conducts any home-based or handicraft industry from the dwelling. 1 Yes 2 No 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Material of the roof <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A059" a="all">2. What is the predominant material used in the roof of the dwelling? <div class="i1">[] 1 Concrete roof [] 2 Asbestos sheet [] 3 Clay tile [] 4 Metal sheet [] 5 Straw, palm or other plant material [] 6 Waste materials [] 7 Other (specify) ____</div> </svar> 4.2.3 Household characteristics These characteristics refer exclusively to single family [private] households. The first two questions of this part of the ballot will be answered by the enumerator using simple observation, before introducing themselves to the occupants of the household; however, if there are any doubts, they can consult with the informant in the household. <svar v="SV92A059" a="all">2. Roof What material is most of the roof on this household made out of? If the roof is covered with another type of material, the base material will be noted. <div class="i1">Concrete slabs: Constructed with gravel, sand, cement and iron; a metal sheet covered with concrete falls into this category, as well as apartment roofs in buildings with two or more floors. Asbestos sheets: These sheets can be smooth, grooved or with other decorative forms. Tile: Tile is commonly made with fired tiles and sometimes cement. Metal sheets: Generally the sheet is grooved, and sometimes covered with clay tiles. Straw, palm leaf or other vegetation: This kind of material is used for building huts and shacks, usually located in rural areas. Waste materials: This type of material is found in poor housing. Other: Wood, canvas, etc.</div> </svar> El Salvador 1992: Non-homeless private households [discrepancies: none] This variable indicates the primary construction material of dwelling's roof. 1 Concrete 2 Asbestos sheet 3 Clay tile 4 Metal sheet 5 Straw, palm, or other plant material 6 Waste materials 7 Other 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Occupancy <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A060" a="all">3. Occupancy <div class="i1">a) Occupied dwelling</div> <div class="i2">[] 1 With people present - continue [] 2 With people absent - return</div> <div class="i1">b) Unoccupied dwelling</div> <div class="i2">[] 3 For rent or sale [] 4 Occasional use [] 5 Under repair or construction [] 6 Other reason</div> For responses 3 - 6, end the interview here. </svar> 4.2.3 Household characteristics These characteristics refer exclusively to single family [private] households. The first two questions of this part of the ballot will be answered by the enumerator using simple observation, before introducing themselves to the occupants of the household; however, if there are any doubts, they can consult with the informant in the household. <svar v="SV92A060" a="all">3. Occupation of the household What is the occupation status of the household? a) Occupied household: <div class="i1">With people present: This option will be marked when at the time of the household visit at least one person with the ability to provide information about the occupants of the house and the interview will be proceeded with. Without people: This is a household which during the time of enumeration is occupied, but at the moment of the census visit no one capable of providing information is home. Nevertheless, the enumerator will ask neighbors at what point they think that it will be possible to encounter the occupants and they will make at least two more visits.</div> [Translation omits the rest of page 22] [pg. 23] b) Unoccupied household: <div class="i1">For rent or for sale: At the time that the enumerator makes their visit to the household, they will check that a sign confirms either of the two conditions of rent or sale; and if there is none they will ask in the neighborhood. Of occasional use: This refers to a household that has furniture and that the owner occupies eventually, principally for recreational purposes, as with houses located on beaches or country houses. Under repair or construction: This is a household that is under repair, either to be occupied by the owner or to be rented or sold. Households under construction will be included if they have at the least a completed roof and walls. Other reasons: Household that are unoccupied and are not included in the previous options.</div> </svar> El Salvador 1992: Non-homeless private households [discrepancies: none] This variable indicates the type of occupancy of the dwelling. 1 Occupied 3 Unoccupied, for rent or sale 4 Unoccupied, occasional use 5 Unoccupied, under repair or construction 6 Unoccupied, other reason 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Material of the floor <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A061" a="all">4. What is the predominant material used in the floor of the dwelling? <div class="i1">[] 1 Cement slabs [] 2 Cement blocks [] 3 Clay brick [] 4 Wood [] 5 Earth [] 6 Other ____</div> </svar> 4.2.3 Household characteristics These characteristics refer exclusively to single family [private] households. The first two questions of this part of the ballot will be answered by the enumerator using simple observation, before introducing themselves to the occupants of the household; however, if there are any doubts, they can consult with the informant in the household. <svar v="SV92A061" a="all">4. Floor What material is most of the floor of this household made from? <div class="i1">Cement slabs: Made with gravel, sand and cement. Cement blocks: This type of block is made with cement, sand and other aggregates that produce a smooth surface. Clay bricks: This brick is made with clay or mud, combined with dirt and fire. Wood: This option will be considered if wood is the principal material of the floor. Earth: This is when the floor of the household is made of dirt that has been flattened and pressed; this category will also include floors made with a mixture of dirt and concrete. Other: These are materials that the floor is made with that are not included in the previous categories, including marble, rock, waste materials, etc.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates the primary construction material of dwelling's floor. 1 Cement slab 2 Cement block 3 Clay brick 4 Wood 5 Earth 6 Other 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet facilities <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A062" a="all">5. What type of toilet facilities does the dwelling have? <div class="i1">a) Flush toilet</div> <div class="i2">[] 1 For private use [] 2 For shared use</div> <div class="i1">b) Latrine</div> <div class="i2">[] 3 For private use [] 4 For shared use</div> <div class="i1">c) [] 5 Other type d) [] 6 None</div> </svar> 4.2.3 Household characteristics These characteristics refer exclusively to single family [private] households. The first two questions of this part of the ballot will be answered by the enumerator using simple observation, before introducing themselves to the occupants of the household; however, if there are any doubts, they can consult with the informant in the household. <svar v="SV92A062" a="all">5. Toilets and latrines What kind of toilet or latrine does this household have? <div class="i1">a. Flushing toilet: It is the flushing that eliminates the waste expelling it to the public sewer system or septic tank.</div> <div class="i2">For private use: This is the toilet that only occupants of one household use. For common use: This is a toilet used by the occupants of two or more households.</div> <div class="i1">b. Latrine: A toilet in which the waste accumulates in a pit.</div> <div class="i2">For private use: If it is used only by the occupants of one household. For common use: If it used by the occupants of two or more households.</div> <div class="i1">c. Other type: This option will be marked for cases that another way of eliminating waste is used, different from those mentioned previously. d. No toilet or latrine: When a household lacks a toilet, latrine or other means of disposing of human waste.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates the type of toilet facility that the household uses. 1 Flush toilet, private use 2 Flush toilet, shared use 3 Latrine, private use 4 Latrine, shared use 5 Other type 6 None 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Sewage connection <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A063" a="all">6. Does the dwelling have a wastewater removal system connected to <div class="i1">[] 1 Sewer [] 2 Septic tank [] 3 Ground outside the dwelling [] 4 River, stream or lake [] 5 None</div> </svar> 4.2.3 Household characteristics These characteristics refer exclusively to single family [private] households. The first two questions of this part of the ballot will be answered by the enumerator using simple observation, before introducing themselves to the occupants of the household; however, if there are any doubts, they can consult with the informant in the household. <svar v="SV92A063" a="all">6) Elimination of sewage Does the household provide drainage connected to: <div class="i1">Sewer system The household has piping that collects the sewage and expels it to a public main or sewer system. Septic tank The household has pipes that collect sewage and expel it to a concrete box where solids and liquids are separated, and later the water is piped into another box for the purification process. On the ground outside of the dwelling The household has piping that collects sewage and expels it on the household's land or neighboring land. Stream, river or lake The household has pipes that collect the sewage and expel it directly to a stream, river or lake close to the household. No piping The household has no piping and no drainage of any kind.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates the type of sewage connection that the dwelling uses. 1 Sewer 2 Septic tank 3 Ground outside the dwelling 4 River/stream/lake 5 None 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Water supply <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A064" a="all">7. Where does the water used come from? <div class="i1">[] 1 Community piped water system Well:</div> <div class="i2">[] 2 Public [] 3 Private</div> <div class="i1">[] 4 River [] 5 Spring [] 6 Other (specify) ____</div> </svar> 4.2.3 Household characteristics These characteristics refer exclusively to single family [private] households. The first two questions of this part of the ballot will be answered by the enumerator using simple observation, before introducing themselves to the occupants of the household; however, if there are any doubts, they can consult with the informant in the household. <svar v="SV92A064" a="all">7. Water supply Where does the water in use come from? a. From the water system via plumbing from the community: This option will be marked when the occupants of the household obtain water through a water stream connected to an ANDA (National Administration of Aqueducts and Sewers) water main or a plumbing system administrated by a private company. b. From a well: The water is removed directly from a well, either with buckets, a manual or electric pump, or another mechanized way. <div class="i1">Public: It is public if it is community property or from an organization that has it for community use. Private: It is private if it is the property of a person or organization that uses it for their own water supply. This can be connected to a pump that removes the water from the well to a plumbing system that distributes it in the household.</div> c. From a river: This option will be marked if the water supply for drinking and cooking is obtained in this way. d. From a spring: The water for drinking and cooking is obtained from a natural spring or fountain, riverhead, etc. e. Other: The forms of water supply not included in the previous categories will be noted, such as: rain water, traveling vendors, etc. </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates how the household obtains its water supply. 1 Community piped system 2 Public well 3 Private well 4 River/stream/lake 5 Spring 6 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Location of water supply <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A065" a="all">8. Are there water supply fixtures? <div class="i1">[] 1 Inside the dwelling [] 2 Outside of the dwelling but within the property [] 3 Public tap [] 4 None</div> </svar> 4.2.3 Household characteristics These characteristics refer exclusively to single family [private] households. The first two questions of this part of the ballot will be answered by the enumerator using simple observation, before introducing themselves to the occupants of the household; however, if there are any doubts, they can consult with the informant in the household. <svar v="SV92A065" a="all">8. Water installations: Does the household have installations for the service of water? <div class="i1">Inside of the dwelling: This is a household that has at least one stream of water inside of the household structure; this could be installed in the kitchen, the bathroom, or any other place in the dwelling. Outside of the dwelling, but within the property: The stream or streams of water can be found in the patio or courtyard of the household, within the limits of the property, such as those in boarding houses [mesones]. Public faucet: The occupants of a household get their water from a public faucet located off the property, which is available for the rest of the households in the community. No water installations: This is a household that lacks water streams and their water supply is provided via different means.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates the location where the household obtains its water supply. 1 Inside the dwelling 2 Outside the dwelling, on property 3 Public tap 4 None 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Fuel used for cooking <svar v="SV92A036 SV92A037 SV92A038 SV92A039 SV92A040 SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A059 SV92A060 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">II. Household information </svar> 2. Characteristics of the dwelling <svar v="SV92A041 SV92A042 SV92A043 SV92A044 SV92A045 SV92A046 SV92A047 SV92A048 SV92A049 SV92A050 SV92A051 SV92A052 SV92A053 SV92A054 SV92A055 SV92A056 SV92A057 SV92A058 SV92A061 SV92A062 SV92A063 SV92A064 SV92A065 SV92A066">[Questions 4-15 were asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A066" a="all">9. What is the principal fuel used for cooking? <div class="i1">[] 1 Electricity [] 2 Propane gas [] 3 Kerosene (gas) [] 4 Wood [] 5 Charcoal [] 6 Other (specify) ____ [] 7 None</div> </svar> 4.2.3 Household characteristics These characteristics refer exclusively to single family [private] households. The first two questions of this part of the ballot will be answered by the enumerator using simple observation, before introducing themselves to the occupants of the household; however, if there are any doubts, they can consult with the informant in the household. <svar v="SV92A066" a="all">9. Fuel for cooking What is the main type of fuel used for cooking? <div class="i1">If in the household more than one form of cooking fuel is used, the most used will be noted.</div> [pg. 29] <div class="i1">Electricity Propane gas Kerosene (gas) Wood Charcoal Other: This is the case when none of the previous fuels are used and, as such, what is used should be explained. None: This refers specifically to when a household does not cook and for that reason does not use fuel to cook.</div> </svar> El Salvador 1992: Occupied private households [discrepancies: none] This variable indicates the type of fuel that the household uses for cooking. 1 Electricity 2 Propane gas 3 Kerosene 4 Wood 5 Charcoal 6 Other 7 None 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Number of mortality records <svar v="SV92A032 SV92A033 SV92A034 SV92A035 SV92A068 ">IV. Mortality and migration [Section IV was asked of occupied private households, per question 3 and Section 1.] </svar> <svar v="SV92A032 SV92A068" a="all">1. Mortality 1. Did any member of this household die during the last year or this year? (Do not forget to ask about children and elderly persons) <div class="i1">[] 1 Yes - give details in table below [] 2 No - skip to migration [] 3 Unknown - skip to migration</div> <div class="i1">Person number ____ Name and surnames ____ Date of death: <div class="i2">Day ____ Month____ Year ____</div> Sex <div class="i2">[] 1 Male [] 2 Female</div> ____ Age at death (put "00" for those younger than 1 and "98" for those 98 or older)</div> </svar> <svar v="SV92A057" a="all">14. Garbage disposal How is the garbage disposed of? <div class="i1">Municipal service: This option will be marked when the occupants of the household place the garbage in front of their house or in a municipal drop off point so that garbage collectors managed by the city or township of the area can move it to an incinerator or other destination for its elimination. Private service: When the residents of the community pay a person or business to remove garbage from their houses and transport it to places outside of the community. Incineration: The occupants of the household burn the garbage. Buried: The occupants of the household bury the garbage. Thrown anywhere: The occupants of the household, either personally or via other people, throw the garbage in waste land, the street, rivers, streams, their own property, etc. This category includes those who throw garbage in unauthorized places, even though later municipal sanitation trucks will pick it up. If one household uses more than one method of those mentioned to dispose of their trash, the informant will be asked which method they use the most.</div> </svar> El Salvador 1992: Occupied private households with member(s) who have died during this or the past year [discrepancies: none] This variable indicates the number of deaths recorded in the household in this or the last year (1991-92). 1 1 2 2 3 3+ 9 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON 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. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent 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. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse 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. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked 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. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife 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. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest 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. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 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1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown Demographic Variables -- PERSON Month of birth BIRTHMO indicates the person's month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Month of last birth LASTBMO indicates the month of birth of the last child born by the respondent. The data refer to live births. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year of last birth LASTBYR indicates the year of birth of the last child born by the respondent. The data refer to live births. 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Unknown 9999 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children dead CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown/missing 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of last birth LASTBMORT indicates the mortality status of the last child born to a woman. There is no constraint on how long ago the child may have been born. Only live births are considered. 0 NIU (not in universe) 1 Alive 2 Dead 9 Unknown Fertility and Mortality Variables -- PERSON Mortality status of mother MORTMOT indicates whether the person's biological mother was still living at the time of the census. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children in household HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children living elsewhere AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Year of immigration YRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated. 0000 NIU (not in universe) 1790 1790 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 In transit 9999 Unknown Nativity and Birthplace Variables -- PERSON Years since immigrated YRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration. 00 0 (within previous year) 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 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 Unknown 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Years since immigrated, categorized YRSIMM2 indicates the number of years since a foreign-born person immigrated to the country. The number of years is grouped into intervals. 1 Less than 1 year 2 1 to 4 years 3 5 to 9 years 4 10 or more years 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Department of birth, El Salvador BPLSV indicates the person's department of birth within El Salvador. 01 Ahuachapán 02 Santa Ana 03 Sonsonate 04 Chalatenango 05 La Libertad 06 San Salvador 07 Cuscatlán 08 La Paz 09 Cabañas 10 San Vicente 11 Usulután 12 San Miguel 13 Morazán 14 La Unión 99 Abroad Nativity and Birthplace Variables -- PERSON School attendance 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. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy 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. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, El Salvador EDUCSV indicates the person's educational attainment in El Salvador in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 110 Preschool 111 Preschool, grade 1 112 Preschool, grade 2 113 Preschool, grade 3 114 Preschool, grade unknown 200 Primary education 201 Primary education, grade 1 202 Primary education, grade 2 203 Primary education, grade 3 204 Primary education, grade 4 205 Primary education, grade 5 206 Primary education, grade 6 207 Primary education, grade 7 208 Primary education, grade 8 209 Primary education, grade 9 210 Primary education, grade unknown 300 Secondary education 301 Secondary education, grade 1 302 Secondary education, grade 2 303 Secondary education, grade 3 304 Secondary education, grade 4 310 Vocational course (after 6th grade primary) 311 Vocational course (after 6th grade primary), year 1 or 2 312 Vocational course (after 6th grade primary), year 3 400 Post-secondary non-university 401 Post-secondary non-university, year 1 402 Post-secondary non-university, year 2 403 Post-secondary non-university, year 3 404 Post-secondary non-university, year 4 405 Post-secondary non-university, year 5 406 Post-secondary non-university, year 6 407 Post-secondary non-university, year 7 408 Post-secondary non-university, year 8 409 Post-secondary non-university, year unknown 410 Technical university 411 Technical university, year 1 412 Technical university, year 2 413 Technical university, year 3 420 University 421 University, year 1 422 University, year 2 423 University, year 3 424 University, year 4 425 University, year 5 426 University, year 6 427 University, year 7 428 University, year 8 429 University, year unknown 430 Masters 431 Masters, year 1 432 Masters, year 2 433 Masters, year 3 440 Doctorate 998 Unknown Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 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) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or 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 Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general 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. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON 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. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Occupation, ISCO-1988, 3-digit ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification. 010 Armed forces 111 Legislators 112 Senior government officials 113 Traditional chiefs and heads of villages 114 Senior officials of special-interest organizations 121 Directors and chief executives 122 Production and operations department managers 123 Other department managers 131 General managers 199 Legislators, senior officials and managers not elsewhere classified 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 299 Professionals no elsewhere classified 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipment operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 331 Primary education teaching associate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government associate professionals 345 Police inspectors and detectives 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 399 Technicians and associate professionals not elsewhere classified 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 499 Clerks not elsewhere classified 511 Travel attendants and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 515 Astrologers, fortune-tellers and related workers 516 Protective services workers 521 Fashion and other models 522 Shop salespersons and demonstrators 523 Stall and market salespersons 599 Service workers and shop and market sales workers not elsewhere classified 611 Market gardeners and crop growers 612 Market-oriented animal producers and related workers 613 Market-oriented crop and animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 621 Subsistence agricultural and fishery workers 699 Skilled agricultural and fishery workers not elsewhere classified 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related trades workers 721 Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers 722 Blacksmiths, tool-makers and related trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics and fitters 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 733 Handicraft workers in wood, textile, leather and related materials 734 Printing and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 799 Craft and related trade workers not elsewhere classified 811 Mining- and mineral-processing-plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 817 Automated-assembly-line and industrial-robot operators 821 Metal- and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 824 Wood-products machine operators 825 Printing-, binding- and paper-products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operators 828 Assemblers 829 Other machine operators and assemblers 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 Ships' deck crews and related workers 899 Other plant and machine operaters and assemblers not elsewhere classified 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 921 Agricultural, fishery and related labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 989 Elementary occupations not elsewhere classified 990 Other workers, not elsewhere classified 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Industry, general recode 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. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON 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. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Sector of employment 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. 00 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 63 Informal sector 99 Unknown Work Variables -- PERSON Hours worked per week HRSWORK1 indicates the number of hours the respondent worked per week at all jobs. 000 0 hours 001 1 hour 002 2 hours 003 3 hours 004 4 hours 005 5 hours 006 6 hours 007 7 hours 008 8 hours 009 9 hours 010 10 hours 011 11 hours 012 12 hours 013 13 hours 014 14 hours 015 15 hours 016 16 hours 017 17 hours 018 18 hours 019 19 hours 020 20 hours 021 21 hours 022 22 hours 023 23 hours 024 24 hours 025 25 hours 026 26 hours 027 27 hours 028 28 hours 029 29 hours 030 30 hours 031 31 hours 032 32 hours 033 33 hours 034 34 hours 035 35 hours 036 36 hours 037 37 hours 038 38 hours 039 39 hours 040 40 hours 041 41 hours 042 42 hours 043 43 hours 044 44 hours 045 45 hours 046 46 hours 047 47 hours 048 48 hours 049 49 hours 050 50 hours 051 51 hours 052 52 hours 053 53 hours 054 54 hours 055 55 hours 056 56 hours 057 57 hours 058 58 hours 059 59 hours 060 60 hours 061 61 hours 062 62 hours 063 63 hours 064 64 hours 065 65 hours 066 66 hours 067 67 hours 068 68 hours 069 69 hours 070 70 hours 071 71 hours 072 72 hours 073 73 hours 074 74 hours 075 75 hours 076 76 hours 077 77 hours 078 78 hours 079 79 hours 080 80 hours 081 81 hours 082 82 hours 083 83 hours 084 84 hours 085 85 hours 086 86 hours 087 87 hours 088 88 hours 089 89 hours 090 90 hours 091 91 hours 092 92 hours 093 93 hours 094 94 hours 095 95 hours 096 96 hours 097 97 hours 098 98 hours 099 99 hours 100 100 hours 101 101 hours 102 102 hours 103 103 hours 104 104 hours 105 105 hours 106 106 hours 107 107 hours 108 108 hours 109 109 hours 110 110 hours 111 111 hours 112 112 hours 113 113 hours 114 114 hours 115 115 hours 116 116 hours 117 117 hours 118 118 hours 119 119 hours 120 120 hours 121 121 hours 122 122 hours 123 123 hours 124 124 hours 125 125 hours 126 126 hours 127 127 hours 128 128 hours 129 129 hours 130 130 hours 131 131 hours 132 132 hours 133 133 hours 134 134 hours 135 135 hours 136 136 hours 137 137 hours 138 138 hours 139 139 hours 140 140+ hours 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Hours worked per week, categorized HRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals. 0 None 1 1 to 14 hours (except tt1980, tt1990 and tt2000) 2 15 to 29 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except de1970, ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40-48 hours (except il1972, tt1980, tt1990, and tt2000) 5 49 hours or more (except il1972 and tt2000) 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Actual hours worked per week HRSACTUAL1 indicates the actual number of hours the respondent worked per week at all jobs. 000 0 hours 001 1 hour 002 2 hours 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140+ hours 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Actual hours worked per week, categorized HRSACTUAL2 indicates the actual number of hours the respondent worked per week at all jobs, categorized into intervals. 0 None 1 1 to 14 hours (except tt1980, tt1990, and tt2000) 2 15 to 29 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40 to 48 hours (except tt1980, tt1990, and tt2000) 5 49 hours or more (except tt2000) 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON 1st subnational geographic level of previous residence, world [consistent boundaries over time] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu City [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe City [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba City [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre City [District: Malawi] 454306 Mwanza, Neno [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496011 Ulaanbaatar [Province: Mongolia] 496021 Dornod [Province: Mongolia] 496022 Sukhbaatar [Province: Mongolia] 496023 Khentii [Province: Mongolia] 496041 Tuv [Province: Mongolia] 496043 Selenge [Province: Mongolia] 496044 Dornogobi [Province: Mongolia] 496045 Darkhan-Uul [Province: Mongolia] 496046 Umnugobi [Province: Mongolia] 496048 Dundgobi, Gobisumber [Province: Mongolia] 496061 Orkhon [Province: Mongolia] 496062 Uvurkhangai [Province: Mongolia] 496063 Bulgan [Province: Mongolia] 496064 Bayankhongor [Province: Mongolia] 496065 Arkhangai [Province: Mongolia] 496067 Khuvsgul [Province: Mongolia] 496081 Zavkhan [Province: Mongolia] 496082 Gobi-Altai [Province: Mongolia] 496083 Bayan-Ulgii [Province: Mongolia] 496084 Khovd [Province: Mongolia] 496085 Uvs [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Department of previous residence, El Salvador; consistent boundaries, GIS MIG1_P_SV indicates the person's department of previous residence within El Salvador. The migration could have occurred at any time in the past. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 222001 Ahuachapán 222002 Santa Ana 222003 Sonsonate 222004 Chalatenango 222005 La Libertad 222006 San Salvador 222007 Cuscatlán 222008 La Paz 222009 Cabañas 222010 San Vicente 222011 Usulután 222012 San Miguel 222013 Morazán 222014 La Unión 222097 Abroad 222098 Unknown Migration: A-E Variables -- PERSON Municipality of previous residence, El Salvador; consistent boundaries, GIS MIG2_P_SV indicates the person's municipality of previous residence within El Salvador. Migration municipality codes from MIG2_P_SV are compatible with codes from GEO2_SV.The migration could have occurred at any time in the past. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 222001001 Ahuachapán, San Lorenzo 222001002 Turín, El Refugio, Atiquizaya 222001003 San Francisco Menéndez 222001004 Tacuba 222001005 Jujutla 222001006 San Pedro Puxtla, Guaymango 222001007 Apaneca, Concepción de Ataco 222001099 Ahuachapán department, unknown municipality 222002001 Santa Ana, San Sebastián Salitrillo 222002002 Metapán, San Antonio Pajonal, Santiago de la Frontera, Santa Rosa Guachipilín, Masahuat, Texistepeque 222002003 Chalchuapa 222002004 Coatepeque 222002005 Candelaria de la Frontera, El Porvenir 222002006 El Congo 222002099 Santa Ana department, unknown municipality 222003001 San Julián, Izalco 222003002 Nahulingo, Sonsonate 222003003 Acajutla 222003004 Nahuizalco 222003005 Armenia 222003006 Santa Isabel Ishuatán, Cuisnahuat, Caluco 222003007 San Antonio del Monte 222003008 Sonzacate 222003009 Juayúa 222003010 Santa Catarina Masahuat, Salcoatitán, Santo Domingo de Guzmán 222003099 Sonsonate department, unknown municipality 222004001 Agua Caliente, La Palma, San Ignacio, Citalá, San Fernando, San Francisco Morazán, Dulce Nombre de María 222004002 El Paraíso, San Rafael, Santa Rita, Concepción Quezaltepeque, Ojos de Agua, Comalapa, La Laguna, El Carrizal 222004003 Nueva Concepción 222004004 Chalatenango 222004005 Nueva Trinidad, Las Vueltas, San Isidro Labrador, Cancasque, Potonico, San Miguel de Mercedes, San Antonio Los Ranchos, Azacualpa, San Luis del Carmen, San Francisco Lempa, San Antonio de la Cruz, Nombre de Jesús, Las Flores, Arcatao 222004006 La Reina, Tejutla 222004099 Chalatenango department, unknown municipality 222005001 Nuevo Cuscatlán, Santa Tecla 222005002 Colón 222005003 Sacacoyo, Ciudad Arce 222005004 San Juan Opico 222005005 Quezaltepeque 222005006 Jicalapa, Tamanique, Chiltiupán, Teotepeque 222005007 La Libertad 222005008 Antiguo Cuscatlán 222005009 San Matías, San Pablo Tacachico 222005010 San José Villanueva, Huizúcar 222005011 Jayaque, Tepecoyo 222005012 Zaragoza 222005013 Comasagua, Talnique 222005099 La Libertad department, unknown municipality 222006001 San Salvador 222006002 Soyapango 222006003 Mejicanos 222006004 Apopa 222006005 Ciudad Delgado 222006006 Ilopango 222006007 Tonacatepeque 222006008 San Martín 222006009 Cuscatancingo 222006010 San Marcos 222006011 Rosario de Mora, Panchimalco 222006012 Santo Tomás, Santiago Texacuangos 222006013 Ayutuxtepeque 222006014 Aguilares, El Paisnal 222006015 Nejapa 222006016 Guazapa 222006099 San Salvador department, unknown municipality 222007001 San Bartolomé Perulapía, San Pedro Perulapán 222007002 Cojutepeque 222007003 Suchitoto, Tenancingo, San José Guayabal, Oratorio de Concepción, El Rosario 222007004 San Rafael Cedros, El Carmen 222007005 San Cristóbal, Candelaria, San Ramón, Santa Cruz Analquito 222007006 Santa Cruz Michapa, Monte San Juan 222007099 Cuscatlán department, unknown municipality 222008001 Zacatecoluca, San Luis la Herradura 222008002 El Rosario, Santiago Nonualco 222008003 Olocuilta, San Juan Talpa, Cuyultitán 222008004 San Juan Nonualco, San Rafael Obrajuelo 222008005 San Antonio Masahuat, Tapalhuaca, San Francisco Chinameca, San Juan Tepezontes, San Emigdio, San Miguel Tepezontes 222008006 San Pedro Masahuat 222008007 San Pedro Nonualco, Santa María Ostuma, Paraíso de Osorio, Jerusalén, Mercedes la Ceiba 222008008 San Luis Talpa 222008099 La Paz department, unknown municipality 222009001 San Isidro, Jutiapa, Tejutepeque, Cinquera, Sensuntepeque, Victoria, Guacotecti, Dolores 222009002 Ilobasco 222009099 Cabañas department, unknown municipality 222010001 San Vicente 222010002 San Sebastián, Verapaz, Santo Domingo, San Lorenzo, Tepetitán, San Cayetano Istepeque, Guadalupe 222010003 Apastepeque, San Ildefonso, Santa Clara, San Esteban Catarina 222010004 Tecoluca 222010099 San Vicente department, unknown municipality 222011001 Santa Elena, Ozatlán, Santa María, Ereguayquín, Usulután, San Dionisio 222011002 San Agustín, Jiquilisco, San Francisco Javier, Puerto El Triunfo 222011003 Santiago de María, Jucuapa, Alegría 222011004 Estanzuelas, Nueva Granada, El Triunfo, San Buenaventura, Mercedes Umaña 222011005 Berlín, Tecapán, California 222011006 Concepción Batres, Jucuarán 222011099 Usulután department, unknown municipality 222012001 Quelepa, San Miguel, San Rafael Oriente, El Tránsito, Uluazapa, Comacarán 222012002 Nueva Guadalupe, Chinameca, San Jorge 222012003 Lolotique, Moncagua 222012004 Sesori, Nuevo Edén de San Juan, San Gerardo, San Luis de la Reina, Chapeltique 222012005 Carolina, San Antonio, Ciudad Barrios 222012006 Chirilagua 222012099 San Miguel department, unknown municipality 222013001 Guatajiagua, Sensembra, Yamabal, San Carlos, El Divisadero, Jocoro 222013002 Cacaopera, San Fernando, Arambala, Perquín, Jocoaitique, Torola, El Rosario, Meanguera, Joateca 222013003 Corinto, Sociedad 222013004 Chilanga, San Isidro, San Simón, Gualococti 222013005 Lolotiquillo, Delicias de Concepción, Yoloaiquín, Oscicala 222013006 San Francisco Gotera 222013099 Morazán department, unknown municipality 222014001 Anamorós, Nueva Esparta, Lislique, Polorós, Concepción de Oriente 222014002 Conchagua, Meanguera del Golfo 222014003 San Alejo, Intipucá, El Carmen 222014004 La Unión 222014005 Santa Rosa de Lima 222014006 Pasaquina, El Sauce 222014007 Yucuaiquín, Bolívar, San José, Yayantique 222014099 La Unión department, unknown municipality 222097097 Abroad 222099098 Unknown Migration: A-E Variables -- PERSON Disability status DISABLED indicates whether the person reported a disability of any kind. 0 NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown Disability Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Blind or vision-impaired DISBLND indicates whether the person was blind or had limited vision. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Deaf or hearing-impaired DISDEAF indicates whether the person was deaf or had limited hearing. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mute or speech impaired DISMUTE indicates if the person could not speak or had a significant speech impediment. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting lower extremities DISLOWR indicates whether the person lacked use of one or both legs. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting upper extremities DISUPPR indicates whether the person lacked full use of at least one arm or hand. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mental disability DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Person number (within household) El Salvador 1992: All records This variable indicates the person number within the household. 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 Technical Person Variables -- PERSON Relationship to head of household <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A401" a="all">[Version 1: Head of the household - starts on page 4 of the original language document] 1. [] 0 Head (Do not use on continuation forms nor for people in a collective dwelling) [Version 2: Other members of the household - starts on page 6 of the original language document] 1. What is your relationship with the head of the household? <div class="i1">[] 1 Spouse or partner [] 2 Son or daughter [] 3 Son or daughter in-law [] 4 Grandchild or great grandchild [] 5 Parent or parent in-law [] 6 Other relative [] 7 Domestic worker [] 8 Other non-relative [] 9 Person in collective dwelling</div> </svar> <svar v="SV92A037 SV92A038 SV92A039 SV92A401 SV92A413" a="all">4.3 Composition of the family or families that live in the household 4.3.1 Residents of the household Who usually resides in this household? In this box all the names of those who usually reside in this household will be marked and their information will be registered, whether they are female, male, infants, elderly, adolescents, etc. The people may all be related to each other, only some related to each other, or not related at all to each other. Next, the rules are presented that should be used to decide who [pg. 34] should be enumerated in the household visited, that is, which person will be considered as a resident of the household: <div class="i1">a) Those who list this household as their only place to sleep and where they generally eat their meals. Those mentioned in the previous paragraph could be temporarily absent for the following reasoning: business trip, tourism, vacations or fulfilling their work obligations, as well as including people who are hospitalized for fewer than six months and whoever is in prison without having been sentenced. Those hospitalized for six months or more and those who are jailed and have been sentenced will be enumerated in the corresponding collective housing. b) People who are married or have partners who occupy the household with their family, even though they spend the majority of the time in another place as a boarder, will be enumerated in the household of their family unit; consequently this person will not be enumerated where they are boarding. c) Single people who occupy the household as a boarder, even though they have their family group in another place which they visit periodically, will be enumerated where they live as a boarder; consequently these people will not be enumerated in the household of their family members.</div> [pg. 35] <div class="i1">d) The boy or girl who was born before midnight of the beginning of the census will be enumerated; but those that were born after the mentioned day and time will not be enumerated. e) The people who died after midnight the day that the census begins will be enumerated; but those who died before the mentioned day and time will not be enumerated. f) The domestic employee (male or female) who sleeps the majority of the time in the household. g) The people who during the census are living in the household and don't have another place of residence.</div> Notes: <ul class="b1"> <li>People who are absent from the household lending their services as soldiers in the armed forces will be enumerated in the military barracks.</li> <li>Beggars, regular alcoholics, street "urchins" and others who don't have a fixed place of residence and who sleep in doorways, parks, streets, under bridges, etc., should be interviewed on the second to last day of the census in the place where they usually sleep, as the enumeration of these people should be done at night. This group makes up the homeless population.</li> </ul> </svar> El Salvador 1992: All persons This variable indicates the person's relationship to the head of household. 0 Head of household 1 Spouse or partner 2 Son/daughter 3 Son/daughter in-law 4 Grandchild or great grandchild 5 Parent/parent in-law 6 Other relative 7 Domestic worker 8 Other non-relative 9 Collective dwelling member Demographic Variables -- PERSON Literacy <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A447 SV92A407">2. Persons age 5 or older [Questions 10-13 were asked of persons age 5 or older] </svar> <svar v="SV92A402" a="all">10. Are you able to read and write? <div class="i1">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A406 SV92A407 SV92A447">4.5.3 For persons age 5 or older This part just refers to people five years of age and up, as a result the interview ends with question 9b for persons younger than 5, skipping the questions 10 through 13 to the following page. </svar> <svar v="SV92A402" a="all">10. Literacy Do you know how to read? <div class="i1">"Yes" is marked when the person knows how to read and write at least a paragraph. If they only know how to write their name and a few numbers, the option "No" will be marked.</div> </svar> El Salvador 1992: Persons age 5+ [discrepancies: none] This variable indicates if the person is literate. 1 Yes 2 No 9 NIU (not in universe) Education Variables -- PERSON School attendance <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A447 SV92A407">2. Persons age 5 or older [Questions 10-13 were asked of persons age 5 or older] </svar> <svar v="SV92A403" a="all">11. Do you or did you attend an institution of formal schooling? <div class="i1">[] 1 Currently attending [] 2 Not currently attending but did attend [] 3 Never attended - skip to question 13 [] 4 Unknown - skip to question 13</div> </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A406 SV92A407 SV92A447">4.5.3 For persons age 5 or older This part just refers to people five years of age and up, as a result the interview ends with question 9b for persons younger than 5, skipping the questions 10 through 13 to the following page. </svar> <svar v="SV92A403" a="all">11. School attendance Do you attend or did you attend a formal school center? <div class="i1">This question refers to the attendance of a school center belonging to the regular system. Participation in courses of cosmetology, haircut or dressmaking, computation, workplace trainings, literacy, etc., will not be considered as attendance.</div> [pg. 45] <div class="i1">Currently attends school: "Currently attends school" should be marked for people who are studying during the year even though they are on vacation, waiting for final exams, or between semesters in the case of university students. Does not currently attend but attended school previously. This is for two situations, one where the person studied a short or long major/course of study and finished it, and the other when without finishing any major/course of study, the person attended at least one primary, secondary or upper level year. Never attended school: This corresponds to people who never attended school. Unknown: This refers, in particular, to older people who for reasons related to age do not remember if they attended or not.</div> For those who responded "Never attended" or "Unknown", the questions 12a, 12b, and 12c should be skipped, to question 13. </svar> El Salvador 1992: Persons age 5+ [discrepancies: none] This variable indicates the school attendance status for the person. 1 Currently attending 2 Has attended 3 Never attended 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Highest schooling level attended <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A447 SV92A407">2. Persons age 5 or older [Questions 10-13 were asked of persons age 5 or older] </svar> <svar v="SV92A404 SV92A405 SV92A447 SV92A406" a="SV92A404 SV92A405 SV92A447">12a. What is the highest level of formal schooling completed? <div class="i1">[] 1 Preschool [] 2 Primary or basic [] 3 Vocational course (carrera corta) following sixth grade [] 4 Secondary education [] 5 Post-secondary, non-university [] 6 Technical college [] 7 Post-secondary, university [] 8 Unknown</div> 12b. What was the highest year completed at this level? <div class="i1">____</div> </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A406 SV92A407 SV92A447">4.5.3 For persons age 5 or older This part just refers to people five years of age and up, as a result the interview ends with question 9b for persons younger than 5, skipping the questions 10 through 13 to the following page. </svar> <svar v="SV92A404 SV92A447" a="all">12a. Level of schooling What is the highest level of formal education attained? In this question the different levels of schooling offered through the formal education system are presented, where each person must be located by level according to the information given, taking into account that they have at least passed one year within the said level according to the following list: <div class="i1">Preschool: Preschool, kindergarten, and nursery school. Primary or basic: First, second, third, fourth, fifth, sixth, seventh, eighth and ninth grade, the last three corresponding to the first, second and third courses of the "basic plan" of the previous system. Vocational course after sixth grade [carrera corta]: In this case these short degrees that were done only [after] having passed sixth grade will be counted, such as: bookkeeper, office technician, industrial basic plan and other vocational studies. Middle education [secondary school]: This level includes all people who study or have studied in an current diversified two year bachelor's degree (high school diploma) and in the old two year bachelor's degree (high school diploma) in sciences and letters; also, accountants, primary teachers, commercial secretaries, expert agronomists, nurses and other courses of studies that require passing the basic plan. Higher education (not university): In this level people are grouped together who studied or are studying in institutions that require or required a bachelor's degree (or teacher) [i.e. high school diploma], such as: technological institutes, national agronomy school, San Jose de la Montaña seminary, military school, teacher training school, school of social work, others.</div> [pg. 47] <div class="i1">Technical university: This refers to the majors that are offered by the universities such as: teaching, nursing, technicians in diverse areas. University: These are those that studied or are studying in one of the universities for the purpose of an academic title, such as: doctor, engineer, economist, odontologist, etc. Unknown: These are those people who have made some course of study, but by not being present, or for reasons of age were not able to report their level.</div> </svar> El Salvador 1992: Persons age 5+ who have ever attended school [discrepancies: none] This variable indicates the highest schooling level that the person has ever attended. 1 Preschool 2 Primary or basic 3 Vocational course after 6th grade 4 Secondary school 5 Post-secondary, non-university 6 Technical university 7 Post-secondary, university 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Highest year completed at this school <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A447 SV92A407">2. Persons age 5 or older [Questions 10-13 were asked of persons age 5 or older] </svar> <svar v="SV92A404 SV92A405 SV92A447 SV92A406" a="SV92A404 SV92A405 SV92A447">12a. What is the highest level of formal schooling completed? <div class="i1">[] 1 Preschool [] 2 Primary or basic [] 3 Vocational course (carrera corta) following sixth grade [] 4 Secondary education [] 5 Post-secondary, non-university [] 6 Technical college [] 7 Post-secondary, university [] 8 Unknown</div> 12b. What was the highest year completed at this level? <div class="i1">____</div> </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A406 SV92A407 SV92A447">4.5.3 For persons age 5 or older This part just refers to people five years of age and up, as a result the interview ends with question 9b for persons younger than 5, skipping the questions 10 through 13 to the following page. </svar> <svar v="SV92A405 SV92A447" a="SV92A405">12b. Years passed What is the last year passed at this level? <div class="i1">In this question nursery school will be recorded as "00" (zero zero) and year passed will be recorded starting with first grade of the regular teaching system. For upper level education both in and outside of the university, in which courses of study follow cycles and each year includes two cycles, the year exact year will be written down carefully. To facilitate the answer, the year passed will be noted in numbers.</div> </svar> El Salvador 1992: Persons age 5+ who have ever attended school [discrepancies: type I none; type II 1.6%] This variable indicates the highest year that the person has completed within the highest school attended. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Highest education level completed <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A447 SV92A407">2. Persons age 5 or older [Questions 10-13 were asked of persons age 5 or older] </svar> <svar v="SV92A404 SV92A405 SV92A447 SV92A406" a="SV92A404 SV92A405 SV92A447">12a. What is the highest level of formal schooling completed? <div class="i1">[] 1 Preschool [] 2 Primary or basic [] 3 Vocational course (carrera corta) following sixth grade [] 4 Secondary education [] 5 Post-secondary, non-university [] 6 Technical college [] 7 Post-secondary, university [] 8 Unknown</div> 12b. What was the highest year completed at this level? <div class="i1">____</div> </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A406 SV92A407 SV92A447">4.5.3 For persons age 5 or older This part just refers to people five years of age and up, as a result the interview ends with question 9b for persons younger than 5, skipping the questions 10 through 13 to the following page. </svar> <svar v="SV92A404 SV92A447" a="all">12a. Level of schooling What is the highest level of formal education attained? In this question the different levels of schooling offered through the formal education system are presented, where each person must be located by level according to the information given, taking into account that they have at least passed one year within the said level according to the following list: <div class="i1">Preschool: Preschool, kindergarten, and nursery school. Primary or basic: First, second, third, fourth, fifth, sixth, seventh, eighth and ninth grade, the last three corresponding to the first, second and third courses of the "basic plan" of the previous system. Vocational course after sixth grade [carrera corta]: In this case these short degrees that were done only [after] having passed sixth grade will be counted, such as: bookkeeper, office technician, industrial basic plan and other vocational studies. Middle education [secondary school]: This level includes all people who study or have studied in an current diversified two year bachelor's degree (high school diploma) and in the old two year bachelor's degree (high school diploma) in sciences and letters; also, accountants, primary teachers, commercial secretaries, expert agronomists, nurses and other courses of studies that require passing the basic plan. Higher education (not university): In this level people are grouped together who studied or are studying in institutions that require or required a bachelor's degree (or teacher) [i.e. high school diploma], such as: technological institutes, national agronomy school, San Jose de la Montaña seminary, military school, teacher training school, school of social work, others.</div> [pg. 47] <div class="i1">Technical university: This refers to the majors that are offered by the universities such as: teaching, nursing, technicians in diverse areas. University: These are those that studied or are studying in one of the universities for the purpose of an academic title, such as: doctor, engineer, economist, odontologist, etc. Unknown: These are those people who have made some course of study, but by not being present, or for reasons of age were not able to report their level.</div> </svar> <svar v="SV92A405 SV92A447" a="SV92A405">12b. Years passed What is the last year passed at this level? <div class="i1">In this question nursery school will be recorded as "00" (zero zero) and year passed will be recorded starting with first grade of the regular teaching system. For upper level education both in and outside of the university, in which courses of study follow cycles and each year includes two cycles, the year exact year will be written down carefully. To facilitate the answer, the year passed will be noted in numbers.</div> </svar> El Salvador 1992: Persons age 5+ who have ever attended school [discrepancies: none] This variable indicates the person's highest educational level of attainment. 10 Preschool 21 Primary school, year 1 22 Primary school, year 2 23 Primary school, year 3 24 Primary school, year 4 25 Primary school, year 5 26 Primary school, year 6 27 Primary school, year 7 28 Primary school, year 8 29 Primary school, year 9 31 Vocational course after 6th grade, year 1 or 2 33 Vocational course after 6th grade, year 3 41 Secondary school, year 1 42 Secondary school, year 2 43 Secondary school, year 3 51 Post-secondary, non-university, year 1 52 Post-secondary, non-university, year 2 61 Technical university, year 1 62 Technical university, year 2 63 Technical university, year 3 71 Post-secondary, university, year 1 72 Post-secondary, university, year 2 73 Post-secondary, university, year 3 74 Post-secondary, university, year 4 75 Post-secondary, university, year 5 80 Unknown 99 NIU (not in universe) Education Variables -- PERSON Attends/attended informal school <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A447 SV92A407">2. Persons age 5 or older [Questions 10-13 were asked of persons age 5 or older] </svar> <svar v="SV92A407" a="all">13. Do you or did you attend any place of vocational, technical or commercial education within the informal educational system? <div class="i1">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A402 SV92A403 SV92A404 SV92A405 SV92A406 SV92A407 SV92A447">4.5.3 For persons age 5 or older This part just refers to people five years of age and up, as a result the interview ends with question 9b for persons younger than 5, skipping the questions 10 through 13 to the following page. </svar> <svar v="SV92A407" a="all">13. Vocational training Do you attend or have you attended a vocational, technical or commercial training center outside of the formal education system? <div class="i1">Vocational training is understood as those degrees studied outside the formal education system that generally are awarded by academies or training centers, which is why the Ministry of Education does not recognize any academic title and only certificates such as the following are given out: style and beauty, carpentry, mechanic, cosmetology, drawing, painting, etc.</div> </svar> El Salvador 1992: Persons age 5+ [discrepancies: none] This variable indicates whether the person attends or has attended an informal school. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Employment status <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415 SV92A449 SV92A450">2. Persons age 10 or older [Questions 14-21 were asked of persons age 10 or older] </svar> <svar v="SV92A408" a="all">14. The week prior to the census you: <div class="i1">[] 1 Worked in exchange for wage in money or kind [] 2 Worked for somebody else without receiving a wage [] 3 Had a job, business, enterprise, owned a farm, but did not work (due to sickness, strike, vacation, bad weather, etc.) (If 1, 2, or 3 are selected, continue with question 16) [] 4 Looked for a job and had previously worked [] 5 Looked for a job for the first time (i.e., had not worked previously) [] 6 Did not look for a job because you though none were available [] 7 Was a "housewife" exclusively [] 8 Studied exclusively [] 9 Were a retiree, pensioned, or renter [] 10 Were institutionalized [imprisoned] [] 11 Were permanently unable to work [disabled] [] 12 Other (specify) ____ (For options 4-12, continue with question 15)</div> </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415">4.5.4 Persons age 10 or older These questions numbered 14 to 21 will be asked to those who are age 10 or older, males and females. If the person is younger than 10, the interview will end, canceling the corresponding page. </svar> <svar v="SV92A408" a="all">Principal activity: The week prior to the beginning of the census, were you: <div class="i1">- Working for pay in money or in kind? This category refers to the people who in the previous week up to the day of the census worked one or more hours for pay in money or in-kind compensation acting as employer, worker on their own count, employee or worker, etc. - Working for another person without compensation? This refers to those who work for another person without receiving any type of compensation or in kind such as apprentices of mechanics, carpentry, family workers, etc. - Employed, or did you have a business, a company, a farm, but you didn't work (due to sickness, strikes, vacation, bad weather, etc.)? This applies to people who have jobs or are occupied but, during the week referred to, did not work due to sickness, strikes, vacation, bad weather or other circumstances.</div> [The rest of pg. 49 is omitted in this translation] [pg. 50] <div class="i1">- Looking for work and had you worked previously? These are unoccupied people who are looking for work but have experience, as they have worked previously. - Looking for work for the first time (never had a job before)? This refers to recently graduated people of any university major, non-university course of study, or any vocational specialty and they are looking for work for the first time, even if they are young people who out of economic necessity have to work and have never worked before. - Not looking for work because you thought there wasn't any? These are persons who had worked before, but for different reasons are without work and are not looking for work because they think that there are no vacant positions and sometimes they may be waiting for the seasons of agricultural harvest.</div> [pg. 51] <div class="i1">Only a housewife: This refers to women who are dedicated exclusively to daily chores of the household. - Just studying? This is all people whose only responsibility is to study, whether in school, high school, higher education centers, university, academy, etc. - Retired, pensioned or rentier?</div> <ul class="b2"> <li>Retired: This is a person who, having completed the time of work service required and having reached the official age, retired, receiving a monthly or biweekly compensation.</li> <li>Pensioned: This is a person who for reasons of sickness, accidents, age or another cause has retired from work, receiving a monthly salary.</li> <li>Rentier: This is a person who lives off the interest of the money put away in savings accounts, installments or personal loans, from renting houses or lands.</li> </ul> [pg. 52] <div class="i1">- Imprisoned? These are people who are in jail whether or not they have received a sentence. - Permanently disabled? This is about people who as a result of suffering from some physical or mental impediment are completely unable to work, which is why they are not working, such as: the blind, amputees of either upper or lower limbs, the insane, etc. - Other? In this group list all people who did not fit into the previous categories. If they responded to one of the options 4 through 12, continue to question 15.</div> </svar> El Salvador 1992: Persons age 10+ [discrepancies: type I trace; type II none] This variable indicates the person's employment status during the week prior to the census. 01 Worked for wage/salary 02 Worked without pay 03 Had employment but did not work 04 Looked for work, previously worked 05 Looked for work, first time 06 Did not look for work, believed no work available 07 Homemaker 08 Student 09 Retired/pensioner/rentier 10 Imprisoned 11 Permanently disabled 12 Other 99 NIU (not in universe) Work Variables -- PERSON Industry (3-digit) <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415 SV92A449 SV92A450">2. Persons age 10 or older [Questions 14-21 were asked of persons age 10 or older] </svar> <svar v="SV92A410 SV92A411 SV92A412 SV92A414 SV92A449 SV92A450">[Questions 16-20 were asked of persons age 10 or older with employment or who performed some other activity, per questions 14 and 15.] </svar> <svar v="SV92A410 SV92A450" a="all">17. What does the establishment where you work or where you worked for the last time do or make? <div class="i1">____ _ _ _ _</div> </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415">4.5.4 Persons age 10 or older These questions numbered 14 to 21 will be asked to those who are age 10 or older, males and females. If the person is younger than 10, the interview will end, canceling the corresponding page. </svar> <svar v="SV92A410 SV92A450" a="all">17. Economic activity What do you do or produce or what company do you work for, or did you work for most recently? <div class="i1">This question should clearly record the activity that the company, institution or establishment is dedicated to in the place where the informant performs their work or the work that they do themselves in the week referred to, for example: make shoes, repair shoes, make dresses, sell lottery tickets, accounting, teach classes, make bricks, plant sugar cane, prevent, control and cure population illnesses, produce statistical information, notary services, etc.</div> </svar> El Salvador 1992: Persons age 10+ who are employed or perform some economic activity [discrepancies: type I trace; type II trace] This variable indicates a person's industry. 011 Growing of crops; market gardening; horticulture 012 Farming of animals 013 Growing of crops combined with farming of animals (mixed farming) 014 Agricultural and animal husbandry service activities, except veterinary activities 020 Forestry, logging and related service activities 050 Fishing, aquaculture and service activities incidental to fishing 101 Mining and agglomeration of hard coal 112 Service activities incidental to oil and gas extraction excluding surveying 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 products 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 Sawmilling and planing of wood 202 Manufacture of products of wood, cork, straw and plaiting materials 210 Manufacture of paper and paper products 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 241 Manufacture of basic chemicals 242 Manufacture of other chemical products 243 Manufacture of man-made fibres 251 Manufacture of rubber products 252 Manufacture of plastics 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; metalworking 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 clock 342 Manufacture of bodies (coachwork) for motor vehicles; manufacture of trailers and semi-trailers 343 Manufacture of parts and accessories for motor vehicles and their engines 351 Building and repairing of ships and boats 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. 401 Production, transmission 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 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 materials, 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 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 525 Retail trade not in stores 526 Repair of personal and household goods 551 Hotels; camping sites and other provision of short-stay accommodation 552 Restaurants, bars and canteens 601 Transport via railways 602 Other land transport 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 659 Other financial intermediation 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. 722 Software publishing, consultancy and supply 723 Data processing 724 Database activities and online distribution of electronic content 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) 741 Legal, accounting, bookkeeping 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 Secondary education 803 Higher education 809 Other education 851 Human health activities 852 Veterinary activities 853 Social work activities 900 Sewage and refuse disposal, sanitation and similar activities 911 Activities of business, employers and professional organizations 912 Activities of trade unions 919 Activities of other membership organizations 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 Activities of private households as employers of domestic staff 990 Extraterritorial organizations and bodies 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Occupation (3-digit) <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415 SV92A449 SV92A450">2. Persons age 10 or older [Questions 14-21 were asked of persons age 10 or older] </svar> <svar v="SV92A410 SV92A411 SV92A412 SV92A414 SV92A449 SV92A450">[Questions 16-20 were asked of persons age 10 or older with employment or who performed some other activity, per questions 14 and 15.] </svar> <svar v="SV92A411 SV92A449" a="all">18. What is the occupation, job or position that you hold or held in the establishment? <div class="i1">____ _ _ _ _</div> </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415">4.5.4 Persons age 10 or older These questions numbered 14 to 21 will be asked to those who are age 10 or older, males and females. If the person is younger than 10, the interview will end, canceling the corresponding page. </svar> <svar v="SV92A411 SV92A449" a="all">18. Principal occupation What is the occupation, job or duty that you perform or performed in your work? <div class="i1">In this question, the name of the occupation or duty should be recorded, performed by the person in the week previous to the first day of the census or the last time that they worked. If the person has more than one job, only the main job should be recorded, considering as such whichever the said person declares as the most important, whether due to prestige awarded, by income received or by the amount of time dedicated.</div> </svar> El Salvador 1992: Persons age 10+ who are employed or perform some economic activity [discrepancies: type I trace; type II trace] This variable indicates a person's occupation. 011 Armed forces 111 Legislators 112 Administrator, public administration, and senior officials 121 University and college directors and chief executives 122 Production and operations department managers 123 Other department managers 131 General managers 211 Physicists, chemists and related professionals 213 Mathematicians, statisticians, computing and related professionals 214 Architects, engineers and related professionals 220 Life science and agriculture science related professionals 222 Health professionals (except nurses) 227 Nursing and midwifery professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals and child care 235 Special education and other teaching professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Archpriest 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipment operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals and traditional healers 331 Primary education teaching associate professionals 332 Pre-primary and other education teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax, police and other government associate professionals 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 511 Travel attendants and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 516 Protective services workers 517 Service workers and sales workers nec 522 Shop salespersons and demonstrators 523 Stall and market salespersons 611 Market gardeners and crop growers 612 Market-oriented crop and animal producers and related workers 614 Forestry, charcoal burners and related workers 615 Fishery workers, hunters and trappers 621 Subsistence agricultural and fishery workers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related trades workers 721 Miners, stone cutters, metal workers, and related trades workers 722 Blacksmiths, tool-makers and related trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics and fitters 731 Precision workers in metal and related materials 732 Finisher or cutter of ceramics, glass and related materials 733 Handicraft workers in wood,textile, leather and related materials 734 Photo and film platemakers, operators, , and related workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 812 Mining-, mineral-, and metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production, automated assembly-line and related plant operators 821 Plaster and concrete grinding wheel operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 825 Printing-, binding- and paper-products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operators 828 Other machine operators and assemblers 831 Railroad and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 Ships' deck crews and related workers 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 921 Agricultural, fishery and related labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Class of worker <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415 SV92A449 SV92A450">2. Persons age 10 or older [Questions 14-21 were asked of persons age 10 or older] </svar> <svar v="SV92A410 SV92A411 SV92A412 SV92A414 SV92A449 SV92A450">[Questions 16-20 were asked of persons age 10 or older with employment or who performed some other activity, per questions 14 and 15.] </svar> <svar v="SV92A412" a="all">19. In this job, are or were you: <div class="i1">[] 1 Public sector employee or worker [] 2 Private sector employee or worker [] 3 Owner or employer [] 4 Unpaid family worker [] 5 Independent worker (own-account worker) [] 6 Domestic worker [] 7 Worker in a production cooperative [] 8 Unknown</div> </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415">4.5.4 Persons age 10 or older These questions numbered 14 to 21 will be asked to those who are age 10 or older, males and females. If the person is younger than 10, the interview will end, canceling the corresponding page. </svar> <svar v="SV92A412" a="all">19. Situation at work It is desired to know which position was worked in the principal job taking place in the week prior to the census. It is desired to know if the person was an employee or worker in the public or private sector, boss, or any of the categories that appear in the box. [pg. 57] In this job, you were: <div class="i1">Employee or worker in the public sector: This is the person who works or worked in an institution in the public sector, whether with the central government, with an autonomous entity, or with a municipal city hall. Employee or worker in the private sector: This is the person who worked for a business, establishment, company or institution of the private sector. As such, this will include the people who work in international organizations, such as the UN, IDA (International Development Association), OAS (Organization of American States), etc. This should take into account that even though a person occupies the position of director, manager or president, if they are not owner of the company, they are still an employee, which is valid in both sectors (public and private). Boss or employer: The boss, entrepreneur or owner is the person who operates their own business or company or who works in a profession or capacity on their own account and who has one or more employees or paid or salaried workers. Family worker without pay: Uncompensated family workers are those who help with the family business without receiving pay, for at least 15 hours per week.</div> [pg. 58] <div class="i1">Independent workers (self-employed): An independent worker is a person who is self-employed and doesn't have employees or workers to supervise but can receive help from a family member without paying them. Care should be taken not to confuse the self-employed worker with the owner or employer. Domestic worker: This is a man or woman who works in a permanent form for a household, doing household chores, such as: washing, ironing, cooking, cleaning, gardening, etc., for which he/she receives pay. Worker in a producer cooperative: This is a partner who works in one or more producer cooperatives for which they receive retribution according to their investment in the cooperative. If it is only a worker compensated by the cooperative, it should be clarified as "1" or "2" or rather as either employee or worker of the public or private sector.</div> </svar> El Salvador 1992: Persons age 10+ who are employed or perform some economic activity [discrepancies: type I trace; type II trace] This variable indicates the class of worker that the person is classified by. 1 Public sector employee 2 Private sector employee 3 Owner/employer 4 Unpaid family worker 5 Self-employed 6 Domestic worker 7 Worker in a cooperative 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Sex <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A413" a="all">2. Male or female? <div class="i1">[] 1 Male [] 2 Female</div> </svar> <svar v="SV92A037 SV92A038 SV92A039 SV92A401 SV92A413" a="all">4.3 Composition of the family or families that live in the household 4.3.1 Residents of the household Who usually resides in this household? In this box all the names of those who usually reside in this household will be marked and their information will be registered, whether they are female, male, infants, elderly, adolescents, etc. The people may all be related to each other, only some related to each other, or not related at all to each other. Next, the rules are presented that should be used to decide who [pg. 34] should be enumerated in the household visited, that is, which person will be considered as a resident of the household: <div class="i1">a) Those who list this household as their only place to sleep and where they generally eat their meals. Those mentioned in the previous paragraph could be temporarily absent for the following reasoning: business trip, tourism, vacations or fulfilling their work obligations, as well as including people who are hospitalized for fewer than six months and whoever is in prison without having been sentenced. Those hospitalized for six months or more and those who are jailed and have been sentenced will be enumerated in the corresponding collective housing. b) People who are married or have partners who occupy the household with their family, even though they spend the majority of the time in another place as a boarder, will be enumerated in the household of their family unit; consequently this person will not be enumerated where they are boarding. c) Single people who occupy the household as a boarder, even though they have their family group in another place which they visit periodically, will be enumerated where they live as a boarder; consequently these people will not be enumerated in the household of their family members.</div> [pg. 35] <div class="i1">d) The boy or girl who was born before midnight of the beginning of the census will be enumerated; but those that were born after the mentioned day and time will not be enumerated. e) The people who died after midnight the day that the census begins will be enumerated; but those who died before the mentioned day and time will not be enumerated. f) The domestic employee (male or female) who sleeps the majority of the time in the household. g) The people who during the census are living in the household and don't have another place of residence.</div> Notes: <ul class="b1"> <li>People who are absent from the household lending their services as soldiers in the armed forces will be enumerated in the military barracks.</li> <li>Beggars, regular alcoholics, street "urchins" and others who don't have a fixed place of residence and who sleep in doorways, parks, streets, under bridges, etc., should be interviewed on the second to last day of the census in the place where they usually sleep, as the enumeration of these people should be done at night. This group makes up the homeless population.</li> </ul> </svar> El Salvador 1992: All persons This variable indicates the person's sex. 1 Male 2 Female Demographic Variables -- PERSON Hours worked per week <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415 SV92A449 SV92A450">2. Persons age 10 or older [Questions 14-21 were asked of persons age 10 or older] </svar> <svar v="SV92A414" a="all">20. How many total hours did you work during the last week? <div class="i1">____ Number of hours</div> </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415">4.5.4 Persons age 10 or older These questions numbered 14 to 21 will be asked to those who are age 10 or older, males and females. If the person is younger than 10, the interview will end, canceling the corresponding page. </svar> <svar v="SV92A414" a="all">20. Hours How many hours did you work overall in the last week? <div class="i1">The total hours worked will include extra hours. If the person interviewed has more than one job, the hours occupied will be added up in each one of them. Similarly, for those people who were not paid for the number of hours worked, they will still be recorded. If the person interviewed had a job but didn't work in the week referred to, the number of hours that are normally worked during the week will be recorded. If one person works eight hours daily in a public institution and two hours teaching classes from Monday to Friday in a school or university, that is actually 10 hours daily, making a total of 50 hours per week.</div> </svar> El Salvador 1992: Persons age 10+ who are employed or perform some economic activity [discrepancies: type I trace; type II 4.0%] This variable indicates the number of hours that the person worked during the week prior to the census. 00 0 or unknown 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 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 NIU (not in universe) Work Variables -- PERSON Remittances received <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415 SV92A449 SV92A450">2. Persons age 10 or older [Questions 14-21 were asked of persons age 10 or older] </svar> <svar v="SV92A410 SV92A411 SV92A412 SV92A414 SV92A449 SV92A450">[Questions 16-20 were asked of persons age 10 or older with employment or who performed some other activity, per questions 14 and 15.] </svar> <svar v="SV92A415" a="all">21. Did you receive family support in money or kind from abroad in the past twelve months? <div class="i1">[] 1 Yes [] 2 No</div> </svar> <svar v="SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A414 SV92A415">4.5.4 Persons age 10 or older These questions numbered 14 to 21 will be asked to those who are age 10 or older, males and females. If the person is younger than 10, the interview will end, canceling the corresponding page. </svar> <svar v="SV92A415" a="all">21. Remittances from abroad Did you receive any familial remittances from abroad in money or in kind in the last 12 months? <div class="i1">This question should be asked of all people age 10 or older, without regard to sex, with occupied or unoccupied persons, or dependents.</div> </svar> El Salvador 1992: Persons age 10+ [discrepancies: type I none; type II 6.7%] This variable indicates whether the person received remittances from abroad during the 12 months prior to the census. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Income Variables -- PERSON Children born alive <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">4. Women age 12 or older [Questions 22-28 were asked of women age 12 or older] </svar> <svar v="SV92A416" a="all">22. Have you had children born alive? <div class="i1">[] 1 Yes [] 2 No (end the interview)</div> </svar> Females age 12 or older This series of questions will be made exclusively to women age 12 or older. Girls under this age and all men of any age will skip questions 22 to 28, making a diagonal in each square. <svar v="SV92A416" a="all">22. Live births Have you had any live births? <div class="i1">Live birth is understood as those boys and girls who at birth show some sign of life: breathing, crying, muscular movements or palpitations unless they died immediately. This question should be asked to all females age 12 or older. If the answer is "No", the interview ends, making a diagonal in each one of the questions 23 to 28.</div> </svar> El Salvador 1992: Females age 12+ [discrepancies: none] This variable indicates if the woman has ever had children born alive. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children born alive <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">4. Women age 12 or older [Questions 22-28 were asked of women age 12 or older] </svar> <svar v="SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">[Questions 23-28 were asked of women age 12 or older who have ever had children, as per question 22.] </svar> <svar v="SV92A417" a="all">23. How many children born alive have you had? <div class="i1">____</div> </svar> Females age 12 or older This series of questions will be made exclusively to women age 12 or older. Girls under this age and all men of any age will skip questions 22 to 28, making a diagonal in each square. <svar v="SV92A417" a="all">23. Total number of live births How many live births have you had? <div class="i1">In this box the exact number of sons and daughters born alive should be recorded, including all deceased and all currently alive, whether they are residents of the household or not. If the mother has natural children, legitimate or illegitimate, all should be included with no exceptions, but adopted children should not be taken into account.</div> </svar> El Salvador 1992: Females age 12+ who have ever given birth [discrepancies: type I none; type II trace] This variable indicates the number of children that the woman has ever borne alive. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children living in household <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">4. Women age 12 or older [Questions 22-28 were asked of women age 12 or older] </svar> <svar v="SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">[Questions 23-28 were asked of women age 12 or older who have ever had children, as per question 22.] </svar> <svar v="SV92A418" a="all">24. How many of your born alive children live with you? <div class="i1">____</div> </svar> Females age 12 or older This series of questions will be made exclusively to women age 12 or older. Girls under this age and all men of any age will skip questions 22 to 28, making a diagonal in each square. <svar v="SV92A418" a="all">24. Children who live with their mothers How many of your children currently live with you? <div class="i1">The number of children who at that time live in the same house as the mother should be recorded. In some cases that could coincide with the number of children born as live births.</div> </svar> El Salvador 1992: Females age 12+ who have ever given birth [discrepancies: type I none; type II 1.8%] This variable indicates the number of children that the woman has ever borne alive that are currently living in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children not living in household <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">4. Women age 12 or older [Questions 22-28 were asked of women age 12 or older] </svar> <svar v="SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">[Questions 23-28 were asked of women age 12 or older who have ever had children, as per question 22.] </svar> <svar v="SV92A419" a="all">25. How many of your born alive children do not live with you? <div class="i1">____</div> </svar> Females age 12 or older This series of questions will be made exclusively to women age 12 or older. Girls under this age and all men of any age will skip questions 22 to 28, making a diagonal in each square. <svar v="SV92A419" a="all">25. Children who don't live with the mother How many of your children currently don't live with you? <div class="i1">The exact number of children who currently are alive and do not live with the mother at the moment of the census should be recorded.</div> </svar> El Salvador 1992: Females age 12+ who have ever given birth [discrepancies: type I none; type II 13.2%] This variable indicates the number of children that the woman has ever borne alive that are living in another household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children now deceased <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">4. Women age 12 or older [Questions 22-28 were asked of women age 12 or older] </svar> <svar v="SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">[Questions 23-28 were asked of women age 12 or older who have ever had children, as per question 22.] </svar> <svar v="SV92A420" a="all">26. Out of those born alive, how many have passed away? <div class="i1">____</div> </svar> Females age 12 or older This series of questions will be made exclusively to women age 12 or older. Girls under this age and all men of any age will skip questions 22 to 28, making a diagonal in each square. <svar v="SV92A420" a="all">26. Deceased children Of the children born alive, how many died? <div class="i1">The answer to this question should be less than or equal to the number declared in question 23, in other words the number of deceased children can be equal to or less than the total number of children born alive.</div> </svar> El Salvador 1992: Females age 12+ who have ever given birth [discrepancies: type I none; type II 16.4%] This variable indicates the number of children that the woman has ever borne alive that are now deceased. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Month of birth of last child born <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">4. Women age 12 or older [Questions 22-28 were asked of women age 12 or older] </svar> <svar v="SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">[Questions 23-28 were asked of women age 12 or older who have ever had children, as per question 22.] </svar> <svar v="SV92A421 SV92A422 SV92A423" a="all">27. What was the date of birth of your last child? <div class="i1">Day ____ / Month ____ / Year ____</div> </svar> Females age 12 or older This series of questions will be made exclusively to women age 12 or older. Girls under this age and all men of any age will skip questions 22 to 28, making a diagonal in each square. <svar v="SV92A421 SV92A422 SV92A423" a="all">27. Date of birth of the last child What was the date of birth of your last child? <div class="i1">The day, month and year of when the last child born alive was born should be recorded in numeric form whether that child is still alive or is deceased. For example, if they were born on the 5th of March, 1945, this is recorded: "5" "3" "45" With regards to the year, this will be recorded with only the last two digits.</div> </svar> El Salvador 1992: Females age 12+ who have ever given birth [discrepancies: type I trace; type II none] This variable indicates the month of birth of the last child that the woman gave birth to. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year of birth of last child born <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">4. Women age 12 or older [Questions 22-28 were asked of women age 12 or older] </svar> <svar v="SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">[Questions 23-28 were asked of women age 12 or older who have ever had children, as per question 22.] </svar> <svar v="SV92A421 SV92A422 SV92A423" a="all">27. What was the date of birth of your last child? <div class="i1">Day ____ / Month ____ / Year ____</div> </svar> Females age 12 or older This series of questions will be made exclusively to women age 12 or older. Girls under this age and all men of any age will skip questions 22 to 28, making a diagonal in each square. <svar v="SV92A421 SV92A422 SV92A423" a="all">27. Date of birth of the last child What was the date of birth of your last child? <div class="i1">The day, month and year of when the last child born alive was born should be recorded in numeric form whether that child is still alive or is deceased. For example, if they were born on the 5th of March, 1945, this is recorded: "5" "3" "45" With regards to the year, this will be recorded with only the last two digits.</div> </svar> El Salvador 1992: Females age 12+ who have ever given birth [discrepancies: type I trace; type II none] This variable indicates the year of birth of the last child that the woman gave birth to. 30 1930 or earlier 31 1931 32 1932 33 1933 34 1934 35 1935 36 1936 37 1937 38 1938 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 83 1983 84 1984 85 1985 86 1986 87 1987 88 1988 89 1989 90 1990 91 1991 92 1992 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Last child born alive status <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">4. Women age 12 or older [Questions 22-28 were asked of women age 12 or older] </svar> <svar v="SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424">[Questions 23-28 were asked of women age 12 or older who have ever had children, as per question 22.] </svar> <svar v="SV92A424" a="all">28. Is your last child born still alive? <div class="i1">[] 1 Yes [] 2 No</div> </svar> Females age 12 or older This series of questions will be made exclusively to women age 12 or older. Girls under this age and all men of any age will skip questions 22 to 28, making a diagonal in each square. <svar v="SV92A424" a="all">28. Survivorship of the last child Is your last child alive? <div class="i1">This question refers to the last child born alive and there are two alternative answers, which are "Yes" and "No".</div> </svar> El Salvador 1992: Females age 12+ who have ever given birth [discrepancies: type I trace; type II none] This variable indicates if the last child that the woman gave birth to is still alive. 1 Alive 2 Deceased 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Age <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A425 SV92A446" a="all">3. How old are you in years completed? <div class="i1">____ (write "00" for those younger than 1, and "98" for those 98 or older)</div> </svar> <svar v="SV92A425 SV92A426 SV92A427 SV92A428 SV92A446" a="all">3. Age What is your age? <div class="i1">Age will be recorded in the box and in years exactly as told by the informant, without suggesting or calculating ages.</div> </svar> El Salvador 1992: All persons This variable indicates the person's age. 00 Younger than 1 year 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 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+ Demographic Variables -- PERSON Month of birth <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A426 SV92A427 SV92A428" a="all">4. What is your date of birth? <div class="i1">____ Day ____ Month ____ Year</div> </svar> <svar v="SV92A425 SV92A426 SV92A427 SV92A428 SV92A446" a="all">3. Age What is your age? <div class="i1">Age will be recorded in the box and in years exactly as told by the informant, without suggesting or calculating ages.</div> </svar> El Salvador 1992: All persons This variable indicates the month of the person's birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December Demographic Variables -- PERSON Year of birth <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A426 SV92A427 SV92A428" a="all">4. What is your date of birth? <div class="i1">____ Day ____ Month ____ Year</div> </svar> <svar v="SV92A425 SV92A426 SV92A427 SV92A428 SV92A446" a="all">3. Age What is your age? <div class="i1">Age will be recorded in the box and in years exactly as told by the informant, without suggesting or calculating ages.</div> </svar> El Salvador 1992: All persons This variable indicates the person's year of birth. 1894 1894 or earlier 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 Demographic Variables -- PERSON Marital status <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A429" a="all">5. What is your current marital status? <div class="i1">[] 1 Under 12 years old [] 2 Consensual union [] 3 Married [] 4 Widowed [] 5 Separated [] 6 Divorced [] 7 Single</div> </svar> <svar v="SV92A429" a="all">5. Marital status What is your marital status? <div class="i1">Marital status is understood as the situation of each person with regard to the laws or family customs for marriage or common law marriage that exist in the country. For the identification of marital status the following definitions should be taken into account:</div> [pg. 42] <ul class="b2"> <li>Children younger than 12: This includes all people, children and youth, who are younger than age 12.</li> <li>Consensual union: This is a person who is not legally married to the person he/she cohabitates with in a stable manner.</li> <li>Married: This is a person who is legally married to their spouse.</li> <li>Widow/widower: This is a person who, after their marriage with their partner, whether through legal or common-law marriage, is not married and does not live with a spouse.</li> <li>Separated: This is a person who is separated from their spouse of legal or common marriage and doesn't live with another partner.</li> <li>Divorced: This is a person who, having legally dissolved their marriage, has not married again nor do they live with a partner.</li> <li>Single: This is a person who has never been married nor lived with a partner.</li> </ul> </svar> El Salvador 1992: All persons This variable indicates the person's marital status. 1 Younger than 12 years old 2 Consensual union 3 Married 4 Widowed 5 Separated 6 Divorced 7 Single Demographic Variables -- PERSON Mother currently alive <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A430" a="all">6. Is your mother alive? <div class="i1">[] 1 Yes [] 2 No [] 3 Unknown</div> </svar> <svar v="SV92A430" a="all">6. Information about the mother of the family Is the mother of the family alive? <div class="i1">The existence of the mother of the family should be investigated, no matter where she lives, whether she lives in the household enumerated or in another place within or outside the country.</div> </svar> El Salvador 1992: All persons This variable indicates if the person's mother is currently alive. 1 Yes 2 No 3 Unknown Fertility and Mortality Variables -- PERSON First disability <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A431 SV92A432 SV92A433" a="all">7. Do you have any of the following disabilities? (You may mark more than one) <div class="i1">[] 1 Blindness [] 2 Deafness [] 3 Muteness [] 4 Mental retardation [] 5 Paralysis or loss of use of an upper extremity [] 6 Paralysis or loss of use of a lower extremity [] 7 No disability</div> </svar> <svar v="SV92A431 SV92A432 SV92A433" a="all">7. Physical conditions Does anyone suffer from one of the following conditions? <div class="i1">This question should be responded to affirmatively when the impediment is total in the case of blindness, deafness and muteness, and when the loss of limbs is partial or total. If a person has more than one condition, all can be marked without limiting to one answer.</div> </svar> El Salvador 1992: All persons This variable indicates the person's first disability. 0 None 1 Blindness 2 Deafness 3 Muteness 4 Mental retardation 5 Upper extremity disability 6 Lower extremity disability Disability Variables -- PERSON Second disability <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A431 SV92A432 SV92A433" a="all">7. Do you have any of the following disabilities? (You may mark more than one) <div class="i1">[] 1 Blindness [] 2 Deafness [] 3 Muteness [] 4 Mental retardation [] 5 Paralysis or loss of use of an upper extremity [] 6 Paralysis or loss of use of a lower extremity [] 7 No disability</div> </svar> <svar v="SV92A431 SV92A432 SV92A433" a="all">7. Physical conditions Does anyone suffer from one of the following conditions? <div class="i1">This question should be responded to affirmatively when the impediment is total in the case of blindness, deafness and muteness, and when the loss of limbs is partial or total. If a person has more than one condition, all can be marked without limiting to one answer.</div> </svar> El Salvador 1992: All persons This variable indicates the person's second disability. 0 None 2 Deafness 3 Muteness 4 Mental retardation 5 Upper extremity disability 6 Lower extremity disability Disability Variables -- PERSON Department of birth <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439" a="all">8. Where were you born? <div class="i1">[] 1 Here [] 2 In another part of the country:</div> <div class="i2">Head town or canton _ _ Municipality _ _ Department _ _</div> <div class="i1">[] 3 In another country:</div> <div class="i2">Name of the country ______ Year of arrival in El Salvador _ _ _ _</div> </svar> <svar v="SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439" a="all">8. Birthplace Where were you born? <div class="i1">"Here" will be filled in for those people who were born in the township or town where the interview takes place. For those who were born in another part of the country, the geographic location of their birth will be detailed exactly: the complete name of the township or town, municipality and department. For those who were born in another country, care should be taken to clearly record the complete name of the country of origin and at the same time write the year of arrival to El Salvador.</div> </svar> El Salvador 1992: All persons This variable indicates the department where the person was born. 01 Ahuachapan 02 Santa Ana 03 Sonsonate 04 Chalatenango 05 La Libertad 06 San Salvador 07 Cuscatlan 08 La Paz 09 Cabañas 10 San Vicente 11 Usulutan 12 San Miguel 13 Morazan 14 La Union 20 Another country Nativity and Birthplace Variables -- PERSON Year of arrival in El Salvador <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439" a="all">8. Where were you born? <div class="i1">[] 1 Here [] 2 In another part of the country:</div> <div class="i2">Head town or canton _ _ Municipality _ _ Department _ _</div> <div class="i1">[] 3 In another country:</div> <div class="i2">Name of the country ______ Year of arrival in El Salvador _ _ _ _</div> </svar> <svar v="SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439" a="all">8. Birthplace Where were you born? <div class="i1">"Here" will be filled in for those people who were born in the township or town where the interview takes place. For those who were born in another part of the country, the geographic location of their birth will be detailed exactly: the complete name of the township or town, municipality and department. For those who were born in another country, care should be taken to clearly record the complete name of the country of origin and at the same time write the year of arrival to El Salvador.</div> </svar> El Salvador 1992: Foreign-born persons This variable indicates the year when the person arrived in El Salvador. 00 NIU (not in universe) 60 1960 or earlier 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 83 1983 84 1984 85 1985 86 1986 87 1987 88 1988 89 1989 90 1990 91 1991 92 1992 Nativity and Birthplace Variables -- PERSON Always lived in same canton <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A440 SV92A441" a="all">9a. How long have you lived here? <div class="i1">[] Always - skip to question 10 [] Since _ _ _ _ (year)</div> </svar> <svar v="SV92A440 SV92A441" a="all">9a. Length of residence How long have you lived here? <div class="i1">This will be marked as "Always" when asked of a person who never has moved from the township or town [canton] where the interview is taking place.</div> [pg. 44] <div class="i1">The "Year of arrival" will be recorded when the person moved from a town or township [canton], department or country to the place of the interview; consequently the change of residence within the town or township [canton] should not be recorded.</div> </svar> El Salvador 1992: All persons This variable indicates whether the person has always lived in the same canton. 1 Always 2 Not always Migration: Global Variables -- PERSON Year of arrival in current residence <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A440 SV92A441" a="all">9a. How long have you lived here? <div class="i1">[] Always - skip to question 10 [] Since _ _ _ _ (year)</div> </svar> <svar v="SV92A440 SV92A441" a="all">9a. Length of residence How long have you lived here? <div class="i1">This will be marked as "Always" when asked of a person who never has moved from the township or town [canton] where the interview is taking place.</div> [pg. 44] <div class="i1">The "Year of arrival" will be recorded when the person moved from a town or township [canton], department or country to the place of the interview; consequently the change of residence within the town or township [canton] should not be recorded.</div> </svar> El Salvador 1992: Persons who have ever moved to another canton [discrepancies: type I none; type II trace] This variable indicates the year when the person migrated to the current canton of residence. 20 1920 or earlier 21 1921 22 1922 23 1923 24 1924 25 1925 26 1926 27 1927 28 1928 29 1929 30 1930 31 1931 32 1932 33 1933 34 1934 35 1935 36 1936 37 1937 38 1938 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 83 1983 84 1984 85 1985 86 1986 87 1987 88 1988 89 1989 90 1990 91 1991 92 1992 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Department of previous residence <svar v="SV92A401 SV92A402 SV92A403 SV92A404 SV92A405 SV92A407 SV92A408 SV92A409 SV92A410 SV92A411 SV92A412 SV92A413 SV92A414 SV92A415 SV92A416 SV92A417 SV92A418 SV92A419 SV92A420 SV92A421 SV92A422 SV92A423 SV92A424 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446 SV92A447 SV92A449 SV92A450">V. Information on members of the household </svar> <svar v="SV92A401 SV92A413 SV92A425 SV92A426 SV92A427 SV92A428 SV92A429 SV92A430 SV92A431 SV92A432 SV92A433 SV92A434 SV92A435 SV92A436 SV92A437 SV92A438 SV92A439 SV92A440 SV92A441 SV92A442 SV92A443 SV92A444 SV92A445 SV92A446">1. All persons </svar> <svar v="SV92A442 SV92A443 SV92A444 SV92A445" a="all">9b. Where did you live before? <div class="i1">Head town or canton _ _ Municipality _ _ Department _ _ Other country:</div> <div class="i2">Name of the country _ _ _</div> </svar> <svar v="SV92A442 SV92A443 SV92A444 SV92A445" a="all">9b. Previous place of residence Where did you live previously? <div class="i1">The previous place of residence will only be asked when "Year of arrival" has been answered, taking care to record the complete names of the township or town [canton], municipality, department or the country where they lived.</div> </svar> El Salvador 1992: Persons who have ever moved from their current canton [discrepancies: type I none; type II 0.6%] This variable indicates the person's department of previous residence. 01 Ahuachapan 02 Santa Ana 03 Sonsonate 04 Chalatenango 05 La Libertad 06 San Salvador 07 Cuscatlan 08 La Paz 09 Cabañas 10 San Vicente 11 Usulutan 12 San Miguel 13 Morazan 14 La Union 20 Another country 99 NIU (not in universe) Migration: Global Variables -- PERSON