The 2001 Population and Housing Census of the Republic of Armenia DDI_ARM_2001_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. The 2001 Population and Housing Census of the Republic of Armenia - IPUMS Subset PHC am2001a (IPUMS Harmonized Subset) ARM_2001_PHC_v01_M_v7.6_A_IPUMS National Statistical Service of the Republic of Armenia IPUMS (c) Copyright 2001, National Statistical Service of the Republic of Armenia and Minnesota Population Center National Statistical Service of the Republic of Armenia 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 Dwelling Characteristics Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Geography: A-E Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Income Variables -- PERSON Migration: A-E Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Technical Person Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Migration: Global Variables -- PERSON Income Variables -- PERSON Education Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Work: Industry Variables -- PERSON 2001-10-09 00:00:00 October 10 (8am-) to October 19, 2001 Armenia Province Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: no UNIT DESCRIPTIONS: - Dwellings: A separate settlement for the members of one or more households or the independent settlement or the place that is not for living but used as such during the census. - Households: The households are of two types. A personal household is (1) a one-person household who makes provision for his or her own food or other essentials for living without combining with any other person to form part of a multi-person household, or (2) a multi-person household comprising two or more people living together who make common provision for food or other essentials for living. The members of the household meet their biological needs by keeping a general household and partly uniting their resources. Those people can be connected by kinship, marriage, or both. - Group quarters: An institutional household is a household in which a group of population live together and usually are submitted to the same rules and eat together in orphanages, boarding schools, special schools, nursing homes, religious establishments, prisons, reformatory colonies, and other such establishments. All the population in the national territory at the moment the census is carried out. Persons without a shelter (tramps, homeless) Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Armenia 2001 MICRODATA SOURCE: National Statistical Service of the Republic of Armenia SAMPLE SIZE (person records): 326560. SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the national statistical office Persons without a shelter (tramps, homeless) Face-to-face [f2f] A single form with three sections: (1) Address tab, (2) personal questions, and (3) household questions de jure, CENSUS DAY: 2001-10-09 00:00:00 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. National Statistical Service of the Republic of Armenia 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: Armenia, National Statistical Service of the Republic of Armenia. The 2001 Population and Housing Census of the Republic of Armenia 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 am2001a, 2025 ARM2001_PHC-H-H.dat Household records 81,929 ascii Minnesota Population Center Version 7.5, IPUMS sample ARM2001_PHC-P-H.dat Person records 326560 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 Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. 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 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 Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global 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 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 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 Armenia, Province 2001 - 2011 [Level 1; consistent boundaries, GIS] GEO1_AM identifies the household's province within Armenia in all sample years. Provinces are the first level administrative units of the country. GEO1_AM 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_AM can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Armenia 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. 051901 Yerevan 051902 Aragatsotn 051903 Ararat 051904 Armavir 051905 Gegharkunik 051906 Lori 051907 Kotayk 051908 Shirak 051909 Syunik 051910 Vayots Dzor 051911 Tavush Geography: A-E Variables -- HOUSEHOLD Armenia, Province 2001 [Level 1, GIS] GEO1_AM2001 identifies the household's province within Armenia in 2001. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_AM2001 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Armenia 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. 901 Yerevan 902 Aragatsotn 903 Ararat 904 Armavir 905 Gegharkunik 906 Lori 907 Kotayk 908 Shirak 909 Syunik 910 Vayots Dzor 911 Tavush 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 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 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 Fuel for heating FUELHEAT indicates the main fuel source for heating the household. 00 NIU (not in universe) 01 None 02 Electricity 03 Fuel oil, kerosene, other liquid fuels 04 Kerosene/paraffin 05 Diesel 06 Gas 07 Bottled gas, in tank, liquified 08 Solid fuel 09 Coal 10 Wood 11 Wood or coal 12 Solar 13 Animal dung 14 Charcoal 15 Biofuel 16 Other 17 Multiple sources 99 Unknown 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 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 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 Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown 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 Year structure was built BUILTYR indicates the year in which construction was completed on the building in which the household resides. 0000 NIU (not in universe) 1870 1870 or earlier 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 Under construction 9999 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Age of structure, coded from intervals AGESTRUCT2 gives the estimated age of the structure. 000 Less than 1 year old 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 997 Under construction 998 Unknown 999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Living area in square meters LIVEAREA describes the total living area in the dwelling inhabited by the household. LIVEAREA is a 3-digit numeric variable. Codes000 = NIU (not in universe) 999 = Unknown Top codes:Unless otherwise specified: 998+ Austria 1991-2001: 150+ Belarus 1999: 201+ Belarus 2009: 250+ Germany 1987: 361+ Hungary 2001: 260+ Hungary 2011: 301+ Iran 2006: 501+ Italy 2001: 150+ Italy 2011: 145+ Laos 2005: 200+ Philippines 1990-2010: 200+ Poland 2002: 200+ Romania 2002: 221+ Romania 2011: 500+ Slovenia 2002: 101+ Spain 1991: 181+ Spain 2001-2011: 900+ Switzerland 1980-1990: 400+ Switzerland 2000: 500+ Dwelling Characteristics 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 Armenia 2001: All households This variable indicates the dwelling number. This is a 5-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Armenia 2001: All households This variable indicates the number of persons in the household. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD District (Yerevan) or province <svar v="AM01A018 AM01A019" a="all">____ Marz<br />____ Region<br />____ Community<br />____ Settlement<br />[There are two lines under 'Settlement' but cannot be identified.]<br /></svar> Armenia 2001: All households This variable indicates the district (Hamaynk) where the household was located. 001 Yerevan: Adjapnyak district 002 Yerevan: Avan, Davidashen, Nork-Marash, and Nubarashen districts 003 Yerevan: Arabkir district 005 Yerevan: Erebuni district 006 Yerevan: Kentron district 007 Yerevan: Malatia-Sebastia district 008 Yerevan: Nor Nork district 011 Yerevan: Shengavit district 012 Yerevan: Kanaker-Zeytun district 902 Aragatsotn province 903 Ararat province 904 Armavir province 905 Gegharkunik province 906 Lori province 907 Kotayk province 908 Shirak province 909 Syunik province 910 Vayots Dzor province 911 Tavush province Geography: A-E Variables -- HOUSEHOLD Urban/Rural Armenia 2001: All households This variable indicates whether the household was in urban or rural area. 1 Urban 2 Rural Geography: A-E Variables -- HOUSEHOLD Owner of household <svar v="AM01A023" a="all">Q1. Do you own your housing unit?<br /><div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Homeless</div><br /></svar> <svar v="AM01A023" a="all"><span class="em">B.1 Provision of a dwelling unit</span><br /><br />One of the mentioned prompts is written.<br /><br /><div class="i1">a) Has: if the household is provided with a house or a flat.<br />b) Doesn't have: if the household doesn't have a house, flat and rents a place with certain citizens or when they have an agreement with a relative or a friend about living in his/her house (flat) temporarily.<br />c) Homeless: for those who don't have a certain address (for the homeless, wanderers).<br /><br />Homeless are considered to be those people who don't have a certain place to live, they carry their (not big) possessions with them and spend the night on the streets, gardens, entrances, in the abandoned buildings and in other places (all the mentioned places are random for them).</div><br /></svar> Armenia 2001: All households This variable indicates whether the household owned the place where the household members lived. 1 Yes 2 No Household Economic Variables -- HOUSEHOLD Type of housing <svar v="AM01A024" a="all">Q2. What type of dwelling unit do you live in?<br /><div class="i1">[] 1 Individual house<br />[] 2 Part of an individual house<br />[] 3 Separate apartment<br />[] 4 Communal apartment<br />[] 5 Cottage, temporary shelter<br />[] 6 Dormitory<br />[] 7 Institutional<br />[] 8 Other</div><br /></svar> <svar v="AM01A024" a="all"><span class="em">B.2 The type of the settlement</span><br /><br />Personal house: if one household lives in one house (House is considered to be a building built on a separate plot that has a separate post address with communal conveniences with its additional household buildings.) regardless the property type.<br /><br />The part of the personal house: if the household lives in the part of the house (building).<br /><br />Separate flat: if the household lives in a separate flat. Separate flat is considered to be a building that is used for permanent dwelling, comprising one and more rooms, divided with other buildings by a basic wall, which has a general entrance, general hall or the building that has a separate exit if one household lives there. If the household lives in the personal house or in a separate flat, but uses the part of the house or flat and the other part for rent, then it is considered that this household lives in the personal house or separate flat.<br /><br />General (communal) flat: if more than one household lives in the flat, as well as in the houses, flats that have a general entrance and these houses are not dormitories.<br /><br />Hut or a temporary settlement: if the household lives in a hut, van, van house and in other such places that are temporary settlements.<br /><br />Dormitory: if the household lives in a dormitory (regardless the type of the building; whether it is a flat, has a general entrance, as well as whether they use one room, the part of the room or only one bed). Those houses are considered to be dormitories in which the part of the buildings are furnished and are considered for dwelling of the people who are not relatives and which have all types of the rooms (resting rooms, gyms, kitchens, bathrooms, sanitary rooms and so on).<br /><br /><span class="pg">[p. 32]</span><br /><br />Organization (institutional) for joint living: this is for those people (except the serving personnel) who permanently live in nursing homes, orphanages, boarding schools as well as for those who live in monasteries, army units and for the dwellers of such establishments.<br /><br />Other dwelling building: if the household lives in the hotel, rest houses, motels, administrative buildings and in other such buildings that are not determined for permanent dwelling that are not mentioned.<br /></svar> Armenia 2001: All households This variable indicates the type of housing. 1 Individual house 2 Part of individual house 3 Separate apartment 4 Communal apartment 5 Cottage or temporary shelter Group Quarters Variables -- HOUSEHOLD Date built <svar v="AM01A025" a="all">Q3. When was the (housing structure/building) built?<br /><div class="i1">[] 1 Before 1941<br />[] 2 1941-1960<br />[] 3 1961-1980<br />[] 4 1981-1990<br />[] 5 1991-2001</div><br /></svar> <svar v="AM01A025" a="all"><span class="em">B.3 When was it built?</span><br /><br />Here one of the dates offered as an answer is noted. While determining the date of the building (house), the date is chosen when the house (building) was put in use.<br /><br />For example; if the building of the house began in 1979 and was finished in 1981, then the "1981-1990" prompt is written, the date when the building was completed.<br /><br />In case of rebuilding the house or adding more floors, the date when it was out in use is considered to be the original building year.<br /></svar> Armenia 2001: All households This variable indicates the date when the housing unit of the household was built. 1 Before 1941 2 1941-1960 3 1961-1980 4 1981-1990 5 1991-2001 Dwelling Characteristics Variables -- HOUSEHOLD Wall construction <svar v="AM01A026" a="all">Q4. What is the construction material of the building's exterior walls?<br /><div class="i1">[] 1 Stone or brick<br />[] 2 Reinforced concrete<br />[] 3 Wood<br />[] 4 Mixed material<br />[] 5 Other</div><br /></svar> <svar v="AM01A026" a="all"><span class="em">B.4 The construction material of the outer walls of the building</span><br /><br /><div class="i1">a) Stone, brick: if the house is built of stone or brick.<br />b) Ferroconcrete (panel, monolith), block: if the house is built of the blocks of ferroconcrete or concrete blocks and panels, as well as in cases when the wooden house is faced with bricks.<br />c) Wood: if the walls of the house are made of wood (quadrilateral or roughhewed) or made of the whole wooden panels as well as in cases when the wooden house is faced by bricks.<br />d) Comprising different materials: if the first floor of the house (the part of the house) is made of brick or stone and the second floor is made of wood. If the walls of the house are made of several types of material then they must be included in the type of the material which prevails in the building.<br />e) Other: in the absence of the construction materials mentioned above.</div><br /></svar> Armenia 2001: All households This variable indicates the construction material of the building's exterior walls. 1 Stone or brick 2 Reinforced concrete 3 Wood 4 Mixed material 5 Other Dwelling Characteristics Variables -- HOUSEHOLD Heating source <svar v="AM01A027" a="all">Q5. What is the dwelling unit's main source of heat?<br /><div class="i1">[] 1 Central heating<br />[] 2 Gas<br />[] 3 Electricity<br />[] 4 Coal<br />[] 5 Wood<br />[] 6 Animal dung<br />[] 7 Oil or petroleum<br />[] 8 Other</div><br /></svar> <svar v="AM01A027" a="all"><span class="em">B.5 The main sources of heating</span><br /><br /><div class="i1">a) Central heating: if the dwelling unit is equipped with a group, regional or united boiler-house, provided with steam heating from water electric center.<br />b) Gas: if the dwellings unit is mainly heated by gas.<br />c) Electricity: if the dwellings unit is heated by electric heaters, electric stoves and other electric equipments.<br />d) Coal: if coal is used for the heating of the dwelling unit.<br />e) Wood: if wood is the main fuel for heating the dwelling unit.<br />f) Manure: if manure is the main fuel for the heating.<br />g) Oil: if oil or other oil product is used for heating the dwelling unit.<br />h) Other: if other fuels than those mentioned above are used.</div><br /></svar> Armenia 2001: All households This variable indicates the main source of heat of the dwelling unit. 1 Central heating 2 Gas 3 Electricity 4 Coal 5 Wood 6 Animal dung 7 Oil or petroleum 8 Other Utilities Variables -- HOUSEHOLD Source of fuel for cooking <svar v="AM01A028" a="all">Q6. What is the dwelling unit's main source of fuel for cooking?<br /><div class="i1">[] 1 Electricity<br />[] 2 Gas<br />[] 3 Oil<br />[] 4 Wood<br />[] 5 Other</div><br /></svar> <svar v="AM01A028" a="all"><span class="em">B.6 The main fuel for making food</span><br /><br /><div class="i1">a) Electricity: if for cooking an electric stove is used or an electric oven that is put in the flat with a separate kitchen.<br />b) Gas: if natural or liquid gas is used in gas stove.<br />c) Oil: if different oil stoves are used.<br />d) Wood: if a wood oven or wood stove is used and the fuel is wood.<br />e) Other: if other type of the fuel is used besides those mentioned above.</div><br /></svar> Armenia 2001: All households This variable indicates the main source of fuel for cooking in the dwelling unit. 1 Electricity 2 Gas 3 Oil 4 Wood 5 Other Utilities Variables -- HOUSEHOLD Water source <svar v="AM01A029" a="all">Q7. What is the dwelling unit's main water supply source?<br /><div class="i1">[] 1 Within the dwelling unit<br />[] 2 In the building, but outside the dwelling unit<br />[] 3 Public water supply (outside the building)<br />[] 4 Individual tank for collection<br />[] 5 River or spring<br />[] 6 Well<br />[] 7 Other</div><br /></svar> <svar v="AM01A029" a="all"><span class="em">B.7 The main source of water supply</span><br /><br /><div class="i1">a) Water pipes in the dwelling unit: if the water tap is inside the dwelling unit, that is to say it is connected with the water supply center.<br />b) Water pipes in the building but not in the dwelling unit: if there is a water pipe in the building, but the water doesn't go to the separate dwelling units and the households get water from the same water tap.<br />c) Public water pipe: if there is a water tap in the yard or nearby, but the water doesn't go to the house and the dwellers use the water on the public bases.<br />d) Personal water tank: if the main source of the water supply of the household is the personal water tank.<br />e) From the rivers, springs: if the household satisfies its water needs directly use the water from the rivers and springs.<br />f) Other: for all other cases not mentioned here.</div><br /></svar> Armenia 2001: All households This variable indicates the main source of water supply in the dwelling unit. 1 Within the dwelling unit 2 In the building, but outside the dwelling unit 3 Public water supply (outside the building) 4 Individual tank for water collection 5 River or spring 6 Well 7 Other Utilities Variables -- HOUSEHOLD Bath or shower <svar v="AM01A030" a="all">Q8. Do you have access to a bathroom or shower?<br /><div class="i1">[] 1 Yes, within the dwelling unit<br />[] 2 Yes, in the building, but outside the dwelling unit<br />[] 3 Yes, outside the building<br />[] 4 Other</div><br /></svar> <svar v="AM01A030" a="all"><span class="em">B.8 Is there a bathroom or a shower?</span><br /><br /><div class="i1">a) Yes, in the dwelling unit: if there is a separate bathroom or shower in the dwelling unit regardless the type of the warm water supply (central, in the flat, including small water heaters by gas, wood). If there is no sewerage system in the dwelling system, then it is not regarded equipped with bathroom or shower.<br />b) Yes, in the building, but not in the dwelling unit: if there is a bathroom or a shower but not in the dwelling unit.<br />c) Yes, outside of the building: if the household uses the bathroom or a shower that is out of the building.<br />d) Other: if the replier uses other means for this reason except those mentioned above (for example he/she goes to the public bathroom, uses his/her friends', relatives' bathrooms)</div><br /></svar> Armenia 2001: All households This variable indicates the type of access to a bathroom or shower in the dwelling unit. 1 Yes, in the dwelling unit 2 Yes, in the building, but outside the dwelling unit 3 Yes, outside the building 4 Other Dwelling Characteristics Variables -- HOUSEHOLD Toilet <svar v="AM01A031" a="all">Q9. What are your toilet facilities?<br /><div class="i1">[] 1 Flushing, in the dwelling unit<br />[] 2 Flushing, outside the dwelling unit, for exclusive use by the household<br />[] 3 Flushing, outside the dwelling unit, for common use<br />[] 4 Non-flushing, outside the dwelling unit, for exclusive use by the household<br />[] 5 Non-flushing, outside the dwelling unit, for common use<br />[] 6 Other</div><br /></svar> <svar v="AM01A031" a="all"><span class="em">B.9 Is there a toilet?</span><br /><br />Inundating<br /><div class="i1">a) In the dwelling unit: if the dwelling unit is equipped with a rinsing toilet connected with the sewer system.<br />b) Outside of the dwelling unit, only for the given household: if there is a rinsing toilet in the building and it is determined only for the given household.<br />c) Outside of the dwelling unit for general usage: if the toilet is outside of the dwelling unit and is for the general usage</div><br />Not inundating<br /><div class="i1">d) Only for the given household: if the toilet is not connected with a sewage system and only the given household uses it.<br />e) For the general usage: if the toilet is not connected with the sewage system, and it is out of the building and is for general usage.<br />f) Other: all other cases.</div><br /></svar> Armenia 2001: All households This variable indicates the type of toilet facilities in the dwelling unit. 1 Flushing, in the dwelling unit 2 Flushing, outside the dwelling unit, for exclusive use by the household 3 Flushing, outside the dwelling unit, for common use 4 Non-flushing, outside the dwelling unit, for exclusive use by the household 5 Non-flushing, outside the dwelling unit, for common use 6 Other Dwelling Characteristics Variables -- HOUSEHOLD Waste disposal <svar v="AM01A032" a="all">Q10. How is waste material (garbage/trash) disposed of?<br /><div class="i1">[] 1 Trash chute, regularly removed<br />[] 2 Trash chute, irregularly removed<br />[] 3 Placed in trash bin, regularly removed<br />[] 4 Placed in trash bin, irregularly removed<br />[] 5 Other</div><br /></svar> <svar v="AM01A032" a="all"><span class="em">B.10 How is the garbage cleaning done?</span><br /><br />By the garbage pipe of the building<br /><div class="i1">a) Systematic cleaning: if the garbage is put in the garbage pipe and the cleaning of the garbage is done every day, systematically.<br />b) Unsystematic cleaning: if the garbage is put in the garbage pipe of the building but it is cleaned unsystematically, time after time.</div><br /><br />In other ways<br /><div class="i1">a) It is put in the garbage can that is taken away systematically: if the garbage is put in the garbage can outside of the building (regardless the distance) which is taken away systematically.<br />b) It is put in the garbage can that is taken away unsystematically: if the garbage is put in the garbage can outside of the building (regardless the distance) but it is taken away unsystematically.<br />c) Other: for all other cases.</div><br /></svar> Armenia 2001: All households This variable indicates the type of waste disposal in the dwelling unit. 1 Trash chute, regularly removed 2 Trash chute, Irregularly removed 3 Placed in trash bin, regularly removed 4 Placed in trash bin, irregularly removed 5 Other Utilities Variables -- HOUSEHOLD Light source <svar v="AM01A033" a="all">Q11. What is the dwelling unit's main source of lighting?<br /><div class="i1">[] 1 Electricity<br />[] 2 Other</div><br /></svar> <svar v="AM01A033" a="all"><span class="em">B.11 The main source of illumination</span><br /><br /><div class="i1">a) Electricity: in case of the presence of the electric wiring<br />b) Other: in all other cases</div><br /></svar> Armenia 2001: All households This variable indicates the main source of lighting in the dwelling unit. 1 Electricity 2 Other Utilities Variables -- HOUSEHOLD Telephone <svar v="AM01A034" a="all">Q12. Do you have a telephone within the dwelling unit?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="AM01A034" a="all"><span class="em">B.12 Do you have a telephone?</span><br /><br />"Yes" answer is mentioned if there is a telephone in the dwelling unit, and if there is no telephone in the given dwelling unit, then a "No" answer is mentioned.<br /><br />Attention: If in the dwelling unit, one type of the conveniences is missing temporarily (because of being out of order, being under repair or for other reasons) then the building is considered to be equipped with that type of the convenience.<br /></svar> Armenia 2001: All households This variable indicates whether the household had a telephone. 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Owner of property <svar v="AM01A035" a="all">Q13. Who owns the dwelling unit?<br /><div class="i1">[] 1 Household member<br />[] 2 State<br />[] 3 Community<br />[] 4 Juridical entity<br />[] 5 Other</div><br /></svar> <svar v="AM01A035" a="all"><span class="em">B.13 Whose property is the dwelling unit?</span><br /><br />The member of the given household: if the dwellings unit belongs to the member of the household or to the members by the law of the citizen property.<br /><br />The state: if the dwellings unit is the property of the state.<br /><br />The community: if the dwellings unit is the property of the community.<br /><br />The juridical person: if the dwellings unit belongs to an organization, social organization, establishment-fund that has the status of a juridical person.<br /><br />Other people: if the dwelling unit does not belong to a member of the household by law but to someone else.<br /></svar> Armenia 2001: All households This variable indicates the property ownership of the dwelling unit. 1 Household member 2 State 3 Community 4 Juridical entity 5 Other 9 Unknown Household Economic Variables -- HOUSEHOLD Room count, exclusive use <svar v="AM01A036 AM01A037" a="all">Q14. How many rooms does your household have exclusive use of? _ _<br />How many rooms does your household share with other households? _ _<br /></svar> <svar v="AM01A036 AM01A037" a="all"><span class="em">B.14 How many rooms does your household use?</span><br /><br />The room is the part of the house, flat, dormitory, which is divided from other parts with the walls and partitions and is determined for living, having a rest, for having classes (in dormitories, children homes and so on).<br /><br />The attics, balconies and other verandas that are equipped and are fit for living during the whole year are considered to be rooms.<br /><br />The kitchens, halls, bath rooms, cellars and other additional buildings of he flat and dormitory, are not considered to be rooms.<br /><div class="i1">For example; if two households are living together in the dwelling unit that has 3 rooms fit for living and each of them is using one room and the third room is shared, then part B.14 of the questionnaire is filled in the following way:<br />Separate - 1<br />With other households together - 1<br />Besides the recurrent number of the dwelling unit in the questionnaire made for these households must be the same (see page 21).</div><br /><br /><span class="pg">[p. 36]</span><br /><br /><div class="i1">If the household uses the part of the room, then it is written<br />Separate - 0<br />With other households together - 1<br />If the given dwelling unit is used by only one household, then the number of the rooms will be shown in the "Separate" line and in the "With other households together" line 0 will be written.</div><br /></svar> Armenia 2001: All households This variable indicates how many room(s) was exclusively used by the household in the dwelling. 0 0 1 1 2 2 3 3 4 4 5 5+ 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Room count, shared <svar v="AM01A036 AM01A037" a="all">Q14. How many rooms does your household have exclusive use of? _ _<br />How many rooms does your household share with other households? _ _<br /></svar> <svar v="AM01A036 AM01A037" a="all"><span class="em">B.14 How many rooms does your household use?</span><br /><br />The room is the part of the house, flat, dormitory, which is divided from other parts with the walls and partitions and is determined for living, having a rest, for having classes (in dormitories, children homes and so on).<br /><br />The attics, balconies and other verandas that are equipped and are fit for living during the whole year are considered to be rooms.<br /><br />The kitchens, halls, bath rooms, cellars and other additional buildings of he flat and dormitory, are not considered to be rooms.<br /><div class="i1">For example; if two households are living together in the dwelling unit that has 3 rooms fit for living and each of them is using one room and the third room is shared, then part B.14 of the questionnaire is filled in the following way:<br />Separate - 1<br />With other households together - 1<br />Besides the recurrent number of the dwelling unit in the questionnaire made for these households must be the same (see page 21).</div><br /><br /><span class="pg">[p. 36]</span><br /><br /><div class="i1">If the household uses the part of the room, then it is written<br />Separate - 0<br />With other households together - 1<br />If the given dwelling unit is used by only one household, then the number of the rooms will be shown in the "Separate" line and in the "With other households together" line 0 will be written.</div><br /></svar> Armenia 2001: All households This variable indicates the number of rooms that the household shared with other household(s) in the dwelling unit. 1 Don't share any rooms with another household 2 Share one or more rooms with another household 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Room size, total <svar v="AM01A038 AM01A039" a="all">Q15. What is the total area of your dwelling unit, in square meters? _ _ _ _ (includes non-sleeping spaces such as kitchens, bathrooms, hallways, balconies, etc.)<br />What is the total living space of your dwelling unit, in square meters? _ _ _ _ (includes sleeping space only)<br /></svar> <svar v="AM01A038 AM01A039" a="all"><span class="em">B.15 How much is the space of your dwelling unit (sq/m)?</span><br /><br />Here the space of whole dwelling unit is noted. The sum of the square meter is written in total figures without decimal figures. The writing is done in figures (for example 5, 13, 44, 105 and so on).<br /><br />The space of the personal house or dormitory is determined by the total square meter of the rooms and additional buildings (kitchens, halls, bathrooms, cellars) excluding the square meter of the additional closets and halls.<br /><br />For those who live in dormitories, the space of the place they use is determined by the total square meter of the rooms they use in the dormitory. In the dormitories, the space of the additional buildings used by the dweller is determined by dividing the whole sum of the square meter into the number of beds/places.<br /><br />For example; if the space of the additional buildings of the dormitory is 506 sq/m and the number of the beds is 103, then each person has 5sq/m (4,913, which is rounded).<br />The space of the staircases, halls, entrances, stuck out buildings and the places used by stoves, additional buildings that are not heated (balcony, attic, veranda) are not included in the whole space of the building.<br /><br />Also the square meters of the rooms of security, serving personnel, teachers, nurses and the buildings of everyday repairs and other necessities (reception area, hairdressing saloon, shop) are not included in the whole square meter of the dormitories, nursing homes.<br /><br />The dwelling space comprises of the square meters of all the rooms used in the household not including the space of the inbuilt closets. If the household uses only part of the room, then the space of the whole room used by the household must be written (for example; if three people live in dormitory in 15sq/m space and each of them is a separate household, then 5sq/m falls to each of them.<br /><br />If the household uses the part of the space and rents the other part then the whole space that belongs to them as well as the part that is used by the household is written.<br /></svar> Armenia 2001: All households This variable indicates the total area of the dwelling unit. 1 3-24 sq. m. 2 25-49 sq. m. 3 50-74 sq. m 4 75-99 sq. m. 5 100-124 sq. m. 6 125-149 sq. m. 7 150-2000 sq. m. 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Room size, living space <svar v="AM01A038 AM01A039" a="all">Q15. What is the total area of your dwelling unit, in square meters? _ _ _ _ (includes non-sleeping spaces such as kitchens, bathrooms, hallways, balconies, etc.)<br />What is the total living space of your dwelling unit, in square meters? _ _ _ _ (includes sleeping space only)<br /></svar> <svar v="AM01A038 AM01A039" a="all"><span class="em">B.15 How much is the space of your dwelling unit (sq/m)?</span><br /><br />Here the space of whole dwelling unit is noted. The sum of the square meter is written in total figures without decimal figures. The writing is done in figures (for example 5, 13, 44, 105 and so on).<br /><br />The space of the personal house or dormitory is determined by the total square meter of the rooms and additional buildings (kitchens, halls, bathrooms, cellars) excluding the square meter of the additional closets and halls.<br /><br />For those who live in dormitories, the space of the place they use is determined by the total square meter of the rooms they use in the dormitory. In the dormitories, the space of the additional buildings used by the dweller is determined by dividing the whole sum of the square meter into the number of beds/places.<br /><br />For example; if the space of the additional buildings of the dormitory is 506 sq/m and the number of the beds is 103, then each person has 5sq/m (4,913, which is rounded).<br />The space of the staircases, halls, entrances, stuck out buildings and the places used by stoves, additional buildings that are not heated (balcony, attic, veranda) are not included in the whole space of the building.<br /><br />Also the square meters of the rooms of security, serving personnel, teachers, nurses and the buildings of everyday repairs and other necessities (reception area, hairdressing saloon, shop) are not included in the whole square meter of the dormitories, nursing homes.<br /><br />The dwelling space comprises of the square meters of all the rooms used in the household not including the space of the inbuilt closets. If the household uses only part of the room, then the space of the whole room used by the household must be written (for example; if three people live in dormitory in 15sq/m space and each of them is a separate household, then 5sq/m falls to each of them.<br /><br />If the household uses the part of the space and rents the other part then the whole space that belongs to them as well as the part that is used by the household is written.<br /></svar> Armenia 2001: All households This variable indicates the total living space of the dwelling unit. 1 1-14 sq. m. 2 15-29 sq. m. 3 30-44 sq. m. 4 45-59 sq. m. 5 60-74 sq. m. 6 75-89 sq. m. 7 90-104 sq. m. 8 105-2000 sq. m. Dwelling Characteristics Variables -- HOUSEHOLD Strata Armenia 2001: All households This variable is the strata identifier for the sample. Strata is a constructed variable that is captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 4-digit numeric variable with 0 implied decimal places Geography: A-E 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 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 Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Province of birth, Armenia; [Level 1: consistent boundaries, GIS] BPL1_AM indicates the person's province of birth in Armenia. Birthplace province codes from BPL1_AM are compatible with codes from GEO1_AM. 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. 051901 Yerevan 051902 Aragatsotn 051903 Ararat 051904 Armavir 051905 Gegharkunik 051906 Lori 051907 Kotayk 051908 Shirak 051909 Syunik 051910 Vayots Dzor 051911 Tavush 051912 Nagorno-Karabagh 051997 Foreign country 051998 Unknown Nativity and Birthplace Variables -- PERSON Ethnicity, Armenia ETHNICAM indicates the nationality or ethnic group of the respondent in Armenia. 1 Armenian 2 Russian 3 Other ethnicities 9 Unknown Ethnicity and Language Variables -- PERSON Speaks Russian SPEAKRUS indicates whether the respondent could speak Russian. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Second language spoken, Armenia LANGAM2 indicates the person's second language in Armenia: a language other than their mother tongue that they could read, write and speak fluently. 01 Armenian 02 Russian 03 Yezidian 04 Assyrian 05 Greek 06 Ukrainian 07 Kurdish 08 Polish 09 Georgian 10 Hebrew 11 English 12 French 13 German 14 Spanish 15 Persian 16 Turkish 20 Other 99 Unknown Ethnicity and Language Variables -- PERSON Mother tongue, Armenia MTONGAM indicates the respondent's mother tongue. Parents were to determine the mother tongue of children too young to speak. 01 Armenian 02 Russian 03 Yezidian 04 Assyrian 05 Greek 06 Ukrainian 07 Kurdish 08 Georgian 09 English 10 Persian 11 Other 99 Unknown Ethnicity and Language 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 Educational attainment, Armenia EDUCAM indicates the person's level of educational attainment in Armenia in terms of the level of schooling completed. 00 NIU (not in universe) 10 None 20 Elementary (primary) (grades 1-3) 30 Basic (grades 4-8) 40 General secondary 50 Professional secondary 60 Middle professional 70 Incomplete higher education 80 Higher education 90 Graduate education 91 Postgraduate professional 92 Candidate of science 93 Doctor of science 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 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 Available to work WRKAVAIL indicates whether a person is available to work (readiness) within a short period of time. 1 Yes 2 No 8 Unknown 9 NIU (Not in universe) Work Variables -- PERSON Source of livelihood INCSRC indicates the respondent's primary source of livelihood, whether from work, benefits, or various other categories. 01 Work 02 Property or entrepreneurial income 03 Pension 04 Unemployment benefits 05 Illness or disability benefits 06 Other social support 07 Under state security or care 08 Scholarship 09 Apprenticeship 10 Credits, savings, or capital sale 11 Household support (dependent) 12 Assistance from relatives in country 13 Assistance from relatives, acquintances abroad 14 Multiple sources 15 Other 98 Unknown Income Variables -- PERSON Receives pension or similar benefit PENSION indicates whether the respondent received a pension or similar benefits. 10 Yes, receives a pension 11 Retirement 12 Retirement and other 13 Disability 14 Disability and other 15 Other or type not specified 20 No, does not receive a pension 98 Unknown 99 NIU (not in universe) Income 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 Country of previous residence MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15160 Sierra Leone 15170 Togo 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49990 Europe, n.s. 49991 Central and Eastern Europe 49992 European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 Unknown 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 Forced migration MIGFORCE indicates if the person was forced to move from their place of residence since 1988 and, if so, what was the reason. For specific causes of migration in 2011 Armenia that may or may not be classified as forced, see the variable MIGCAUSE. 1 Yes, due to war in territories bordering Armenia 2 Yes, due to earthquake within Armenia 3 Yes, forcibly removed from Azerbaijhan 4 Yes, forcibly removed from Nagorno-Karabagh 5 Yes, forcibly removed from other countries 6 Not forced to move 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON Province of previous residence, Armenia; consistent boundaries, GIS MIG1_P_AM indicates the person's province of previous residence in Armenia. 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. 051901 Yerevan 051902 Aragatsotn 051903 Ararat 051904 Armavir 051905 Gegharkunik 051906 Lori 051907 Kotayk 051908 Shirak 051909 Syunik 051910 Vayots Dzor 051911 Tavush 051912 Nagorno-Karabagh 051997 Foreign country 051998 Unknown 051999 NIU (not in universe) Migration: A-E Variables -- PERSON Person number (within household) Armenia 2001: All persons This variable indicates the person number (within household). 0 Household record 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Person Variables -- PERSON Person number <svar v="AM01A400" a="all">Q1: ___ Please list the last, first, and middle names of the household members (present and absent), as well as temporarily present individuals at the time of enumeration.<br /></svar> Armenia 2001: All persons This variable indicates the person number of the household member. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Person Variables -- PERSON Mother number <svar v="AM01A401 AM01A402" a="all">Q7b: _ _ Sequential number of mother; if not present in the household, write father number.<br /></svar> <svar v="AM01A401 AM01A402" a="all">The recurrent number in the list (column "7b") of the mother (father).<br /><br />For each person living with his/her parents in the household (regardless of age, as well as the marital status), the interviewer writes in the "A" column the recurrent number corresponding to his/her mother's (or a step-mother's) name in the "7b" column without additional questions. In that case, if the person's mother is not in the give household, the father's (or step-father's) recurrent number is written and if neither the father nor mother are in the household then nothing is written in this column.<br /></svar> Armenia 2001: All persons This variable indicates the person number of a person's mother in the household. 0 No mother 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Constructed Family Interrelationship Variables -- PERSON Father number <svar v="AM01A401 AM01A402" a="all">Q7b: _ _ Sequential number of mother; if not present in the household, write father number.<br /></svar> <svar v="AM01A401 AM01A402" a="all">The recurrent number in the list (column "7b") of the mother (father).<br /><br />For each person living with his/her parents in the household (regardless of age, as well as the marital status), the interviewer writes in the "A" column the recurrent number corresponding to his/her mother's (or a step-mother's) name in the "7b" column without additional questions. In that case, if the person's mother is not in the give household, the father's (or step-father's) recurrent number is written and if neither the father nor mother are in the household then nothing is written in this column.<br /></svar> Armenia 2001: All persons This variable indicates the person number of a person's father in the household. 0 No father 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Constructed Family Interrelationship Variables -- PERSON Spouse number <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A403" a="all">Q24b: What is the sequential number of your spouse? ____<br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A403" a="all">The recurrent number of he husband/wife (column 24).<br /><br /><span class="pg">[p. 25]</span><br /><br />This question is filled in only for the married people without any additional questioning. For the husband, the wife's recurrent number is written, and for the wife the husband's recurrent number marked in the column A in the questionnaire is written.<br /></svar> Armenia 2001: All persons This variable indicates the person number of a person's spouse in the household. 0 No spouse 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Constructed Family Interrelationship Variables -- PERSON Relationship <svar v="AM01A404" a="all">Q7a: Your relationship with the first person listed.<br /><div class="i1">[] 1 Self<br />[] 2 Spouse<br />[] 3 Daughter or son<br />[] 4 Mother or father<br />[] 5 Sister or brother<br />[] 6 Mother-in-law or father-in-law<br />[] 7 Daughter-in-law or son-in-law<br />[] 8 Grandparent<br />[] 9 Grandchild<br />[] 10 Other relative<br />[] 11 Not related<br />[] 12 Institutional or boarder</div><br /></svar> <svar v="AM01A404" a="all"><span class="em">Question 7</span><br /><br />Your kinship relation with the first registered person.<br /><br />For filling the answer to this question the interviewer uses the prompts in column 7a.<br /><br />The first registered person in the household 01 is written on the first line. For the other members of the household, the corresponding code of the prompts is written. If the replier is the son of the first person registered in the household, then "daughter, son" prompt code 03 should be written and so on, and if the replier has some other kinship relation with the first registered in the household (for example nephew) then "other relative" prompt code 10 should be written.<br /><br /><div class="i1">Separate cases for defining the kinship relations<br />Father-in-law (the father of the husband)<br />Mother-in-law (Mother of the husband)<br />Mother-in-law (Mother of the wife)<br />Father-in-law (Father of the wife)<br />Son-in-law (Husband of the sister or the daughter)<br />Daughter-in-law (Wife of the brother or the son)<br /><br />Other kinship relations<br />Brother-in-law (Brother of the wife)<br />Brother-in-law (Brother of the husband)<br />Sister-in-law (Sister of the husband)<br />Sister-in-law (Sister of the wife)<br />Brother-in-law (Husband of the sister-in-law)</div><br /><br /><span class="pg">[p. 17]</span><br /><br />The interviewer fills in "not relative" prompt code 11 for the person who doesn't have any kinship relation with the given household.<br /><br />"Roommate" prompt code is written for those people who permanently live, partly or fully, in the dormitories, nursing homes, boarding schools, in the monasteries (institutional population). The exception made for those people, who have kinship relations with each other (for example spouses can live in a dormitory, or brother and sister can live in a boarding school). For these people the interviewer fills in this question according to the kinship relation. If the household comprises one person, then the corresponding "the first person registered in the household" prompt code 01 is filled in.<br /></svar> Armenia 2001: All persons This variable indicates a person's relationship to the household head. 01 Head 02 Spouse 03 Daughter or son 04 Mother or father 05 Sister or brother 06 Parent-in-law 07 Daughter-in-law or son-in-law 08 Grandparent 09 Grandchild 10 Other relative 11 Non-relative Demographic Variables -- PERSON Sex <svar v="AM01A405" a="all">Q8: Your sex<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> <svar v="AM01A405" a="all"><span class="em">Question 8</span><br /><br />Your sex<br /><br />Usually the sex of the person is determined according to his/her name. In the particular complicated cases a specifying question must be given for making sure. Identification codes 1 for males 1 and 2 for females are written.<br /></svar> Armenia 2001: All persons This variable indicates a person's sex. 1 Male 2 Female Demographic Variables -- PERSON Month of birth <svar v="AM01A406 AM01A407 AM01A408" a="all">Q9: Your date of birth<br /><div class="i1">_ _ Day of birth<br /> _ _ Month of birth (2 digits)<br /> _ _ _ _ Year of birth (1870-2001)</div><br /></svar> <svar v="AM01A406 AM01A407 AM01A408 AM01A409" a="all"><span class="em">Question 9</span><br /><br />The date (year, month, day) of your birth<br /><br /><span class="pg">[p. 18]</span><br />The answer of this question is written in numbers; in column "9a" the day of birth is written, in "'9b" the month and in '"9c" the year of birth.<br /><br />For example if the replier was born in 1946, May 12 then in column "9a", 12 must be written, in "9b" 05 and in "9c" 1946, if for example in 200 1 October 8 then accordingly in "9a" 08, in "9b" 10 and in "9c" 2001.<br /><br />The age written in years (column "9d")<br /><br />After writing down the year of birth, without any additional question, the interviewer uses the "finding out the age by the year of birth" additional chart (appendix 1) to find out the person's age by the filled in years and writes it in column "9d". In using the chart the following fact must be taken into consideration: those who were born from January 1 to October 9 have their ages written in the first column and those who were born from October 1 to December 13 in the second column. For the children who are not even 1 year old 0 is written in column "9d".<br /></svar> Armenia 2001: All persons This variable indicates a person's month of birth. 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 Unknown Demographic Variables -- PERSON Year of birth <svar v="AM01A406 AM01A407 AM01A408" a="all">Q9: Your date of birth<br /><div class="i1">_ _ Day of birth<br /> _ _ Month of birth (2 digits)<br /> _ _ _ _ Year of birth (1870-2001)</div><br /></svar> <svar v="AM01A406 AM01A407 AM01A408 AM01A409" a="all"><span class="em">Question 9</span><br /><br />The date (year, month, day) of your birth<br /><br /><span class="pg">[p. 18]</span><br />The answer of this question is written in numbers; in column "9a" the day of birth is written, in "'9b" the month and in '"9c" the year of birth.<br /><br />For example if the replier was born in 1946, May 12 then in column "9a", 12 must be written, in "9b" 05 and in "9c" 1946, if for example in 200 1 October 8 then accordingly in "9a" 08, in "9b" 10 and in "9c" 2001.<br /><br />The age written in years (column "9d")<br /><br />After writing down the year of birth, without any additional question, the interviewer uses the "finding out the age by the year of birth" additional chart (appendix 1) to find out the person's age by the filled in years and writes it in column "9d". In using the chart the following fact must be taken into consideration: those who were born from January 1 to October 9 have their ages written in the first column and those who were born from October 1 to December 13 in the second column. For the children who are not even 1 year old 0 is written in column "9d".<br /></svar> Armenia 2001: All persons This variable indicates a person's year of birth. 1920 1920 or earlier 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 Demographic Variables -- PERSON Age <svar v="AM01A409" a="all">Q9d: _ _ _ Your age in completed years (0-130 allowed)<br /></svar> <svar v="AM01A406 AM01A407 AM01A408 AM01A409" a="all"><span class="em">Question 9</span><br /><br />The date (year, month, day) of your birth<br /><br /><span class="pg">[p. 18]</span><br />The answer of this question is written in numbers; in column "9a" the day of birth is written, in "'9b" the month and in '"9c" the year of birth.<br /><br />For example if the replier was born in 1946, May 12 then in column "9a", 12 must be written, in "9b" 05 and in "9c" 1946, if for example in 200 1 October 8 then accordingly in "9a" 08, in "9b" 10 and in "9c" 2001.<br /><br />The age written in years (column "9d")<br /><br />After writing down the year of birth, without any additional question, the interviewer uses the "finding out the age by the year of birth" additional chart (appendix 1) to find out the person's age by the filled in years and writes it in column "9d". In using the chart the following fact must be taken into consideration: those who were born from January 1 to October 9 have their ages written in the first column and those who were born from October 1 to December 13 in the second column. For the children who are not even 1 year old 0 is written in column "9d".<br /></svar> Armenia 2001: All persons This variable indicates a person's age in complete years. 00 Under 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+ Demographic Variables -- PERSON Birthplace <svar v="AM01A410" a="all">Q10: Your place of birth<br /><div class="i1">If within Armenia, write the Marz (10a) and settlement (10b) names ____<br />If outside Armenia, write the country name only (10a) _____</div><br /></svar> <svar v="AM01A410" a="all"><span class="em">Question 10</span><br /><br />Your birthplace<br /><br />If the replier was born in the Republic of Armenia, then the answer to the question on the first line must include the name of the region, then on the second one the names of the place he/she was born.<br />For example: Sjunik or Ararat or Shirak and so on.<br />City Goris or village Vedi or city Artik<br /><br />If the replier was born abroad, then the name of the country is written (for example "Georgia", "Russian", "Greece", "USA" and so on and the second line is not filled in.<br /></svar> Armenia 2001: All persons This variable indicates a person's birthplace. 01 Yerevan 02 Aragatsotn 03 Ararat 04 Armavir 05 Gegharkunik 06 Lori 07 Kotayk 08 Shirak 09 Syunik 10 Vayots Dzor 11 Tavush 12 Nagorno-Karabagh 13 Former Soviet Union 14 Other Nativity and Birthplace Variables -- PERSON Citizenship <svar v="AM01A411" a="all">Q11: ____Your country of citizenship<br /></svar> <svar v="AM01A411" a="all"><span class="em">Question 11</span><br /><br />The country of your citizenship<br /><br />For the citizens of Armenia, ""Armenia" is written, and for the citizens of other countries the name of the other country they are a citizen of is written; for example "Germany", ""Russia", "Lebanon" and so on. For the people who don't have a citizenship, "doesn't have" is written.<br /><br />The citizenship of the children is determined by the parents.<br /></svar> Armenia 2001: All persons This variable indicates a person's citizenship. 1 Armenian 2 Russian 3 Other 4 No citizenship Nativity and Birthplace Variables -- PERSON Ethnicity <svar v="AM01A412" a="all">Q12: ____Your nationality<br /></svar> <svar v="AM01A412" a="all"><span class="em">Question 12</span><br /><br />Your nationality<br /><br />The nationality the replier mentions is written. The nationality of children is determined by the parents. For summarizing the information the manual of encoding the nations is used which was approved by the RA National Statistical Service.<br /></svar> Armenia 2001: All persons This variable indicates a person's ethnicity. 1 Armenian 2 Russian 3 Other Ethnicity and Language Variables -- PERSON Mother tongue <svar v="AM01A413 AM01A414" a="all">Q13a: ____Your native language <br /><br />Q13b: ____Other language you speak fluently <br /></svar> <svar v="AM01A413 AM01A414" a="all"><span class="em">Question 13</span><br /><br />Your mother tongue and other language you master<br /><br />For each person there are 2 lines for this question. On the first line the repliers' mother tongue is written that will mention the replier himself and on the second line some other language the replier is fluent in is written that is to say he/she can read in that language, write and speak fluently. For the future summarizing of the information the encoding manual is used, which was approved by the RA National Statistical Service.<br /><br />If the replier finds it difficult to mention any language as his/her mother tongue, then the name of the language which he /she knows better or the language which is usually used in the family must be written.<br /><br />For the children who don't yet speak, the mother tongue is determined by the parents. The mother tongue of the dumb and deaf is considered to be the language in which they read and write or the one that is used in their household or by which they mostly use in contact with other people.<br /><br />If the replier doesn't know any language other than his/her mother tongue, "no" is written on the second line.<br /></svar> Armenia 2001: All persons This variable indicates a person's mother tongue. 1 Armenian 2 Russian 3 Other Ethnicity and Language Variables -- PERSON Second language <svar v="AM01A413 AM01A414" a="all">Q13a: ____Your native language <br /><br />Q13b: ____Other language you speak fluently <br /></svar> <svar v="AM01A413 AM01A414" a="all"><span class="em">Question 13</span><br /><br />Your mother tongue and other language you master<br /><br />For each person there are 2 lines for this question. On the first line the repliers' mother tongue is written that will mention the replier himself and on the second line some other language the replier is fluent in is written that is to say he/she can read in that language, write and speak fluently. For the future summarizing of the information the encoding manual is used, which was approved by the RA National Statistical Service.<br /><br />If the replier finds it difficult to mention any language as his/her mother tongue, then the name of the language which he /she knows better or the language which is usually used in the family must be written.<br /><br />For the children who don't yet speak, the mother tongue is determined by the parents. The mother tongue of the dumb and deaf is considered to be the language in which they read and write or the one that is used in their household or by which they mostly use in contact with other people.<br /><br />If the replier doesn't know any language other than his/her mother tongue, "no" is written on the second line.<br /></svar> Armenia 2001: All persons This variable indicates a second language that a person could fluently speak besides his or her mother tongue. 1 Armenian 2 Russian 3 Other 4 Unknown Ethnicity and Language Variables -- PERSON Lived here since birth <svar v="AM01A415" a="all">Q14: Have you been living in your current location since your day of birth?<br /><div class="i1">[] 1 Yes [skip to Question 18a]<br />[] 2 No</div><br /></svar> <svar v="AM01A415" a="all"><span class="em">Question 14</span><br /><br />Have you permanently lived in this settlement since the day of your birth?<br /><br />In the case of getting a positive answer for this question, the interviewer writes "yes" with the corresponding code 1 and if the answer is negative "no" with the corresponding code 2. The permanency of settlement is not considered broken in the following cases:<br /><br /><div class="i1">a) Moving from one rural area to the other in the boundary of the same region<br />b) Going for a military service or going abroad for a business trip<br />c) All other leavings which are not connected with permanent movement</div><br /><br />The permanency of the settlement is not connected with the registration and with its type (permanent or temporary) or with the changing of the address in the area of the same place.<br /><br />In case of a "yes" answer for the 4th question, move to question18; in case of a "no" answer, fill in the answers to questions 15, 16, and 17.<br /></svar> Armenia 2001: All persons This variable indicates whether a person had lived in current residence since birth. 1 Yes 2 No Migration: Global Variables -- PERSON Forced to move since 1988 <svar v="AM01A416" a="all">Q15: For those who have changed their residence since 1988, were you forced to move?<br /><div class="i1">[Q15 was asked of persons who have changed their residence since 1998, per Question 14.]<br /><br />[] 1 Yes, because of war in territories bordering Armenia<br />[] 2 Yes, because of earthquake within Armenia<br />[] 3 Yes, forcibly removed from Azerbaijhan<br />[] 4 Yes, forcibly removed from Nagorno-Karabagh<br />[] 5 Yes, forcibly removed from other countries<br />[] 6 No, not forced to move</div><br /></svar> <svar v="AM01A416" a="all"><span class="em">Question 15</span><br /><br />For those people who have changed their settlements since 1988: did you have to change it?<br /><br />The possible answers for this question are in the chart that comes from the direction of the 15th column. The answer "Yes" is for those people who changed their settlements in 1988 because of the earthquake or Karabagh war as well as for those people who were forced to change their settlements because of being forced to move from other countries. For these cases there are the following possible prompts for "yes" answer:<br /><br /><span class="lang">[p. 20]</span><br /><br /><div class="i1">a) because of the war in the Armenia borders<br />b) because of the earthquake in the RA<br />c) because of being forced to move from Azerbaijan<br />d) because of being forced to move from Karabagh<br />e) because of being forced to move from other countries</div><br /><br />The interviewer presents them to the replier and fills in the answer for the 15th question by writing down the corresponding code for the prompt. If the person's movement is not connected with the cases mentioned above, then the interviewer writes the identification code corresponding to the answer "no".<br /></svar> Armenia 2001: Persons who did not live in their birthplaces [discrepancies: none] This variable indicates whether a person was forced to move since 1988. 1 Yes, due to war in territories bordering Armenia 2 Yes, due to earthquake within Armenia 3 Yes, forcibly removed from Azerbaijhan 4 Yes, forcilby removed from Nagorno-Karabagh 5 Yes, forcibly removed from other countries 6 No, not forced to move 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON Previous marz or country of residence <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A417" a="all">Q16: What was the location of your former residence? ___<br /><div class="i1">If within Armenia, write the Marz (16a) and settlement (16b) names ___<br />If outside Armenia, write the country name only (16a) ___</div><br /></svar> <svar v="AM01A417" a="all"><span class="em">Question 16</span><br /><br />Your previous place of living.<br /><br />For each person answering these questions, there are two lines.<br /><br />If the previous place of living for the replier was in Armenia, then the name of the region where he previously lived is written on the first line and the name of the settlement on the second line. For those who came from abroad (including the CIS countries) the name if the country where the replier lived before is written on the first line and the second line is not filled in.<br /></svar> Armenia 2001: Persons who did not live in their birthplaces [discrepancies: none] This variable indicates a person's former residence. 031 Azerbaijan 100 Bulgaria 112 Belarus 250 France 268 Georgia 276 Germany 300 Greece 364 Iran 368 Iraq 398 Kazakhstan 422 Lebanon 498 Moldova 616 Poland 642 Romania 643 Russian Federation 760 Syrian 792 Turkey 795 Turkmenistan 804 Ukraine 818 Egypt 860 Uzbekistan 900 Other country -- response suppressed 901 Yerevan (province) 902 Aragatsotn (province) 903 Ararat (province) 904 Armavir (province) 905 Gegharkunik (province) 906 Lori (province) 907 Kotayk (province) 908 Shirak (province) 909 Syunik (province) 910 Vayots Dzor (province) 911 Tavush (province) 912 Nagorno-Karabagh (province) 998 Unknown 999 NIU (not in universe) Migration: Global Variables -- PERSON Year began living current locality <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A418" a="all">Q17: What is the year since you have continuously lived in your current residence? <br /><div class="i1">_ _ _ _ Year</div><br /></svar> <svar v="AM01A418" a="all"><span class="em">Question 17</span><br /><br />The date when you began permanently living here<br /><br />In this column the date is written (for example 1946, 1981, 2000 and so on) for when the replier began permanently living in the given city or in the rural area.<br /><br />For those people who moved from one place to the other and came back again, the date of return when they permanently began living in that settlement is written.<br /></svar> Armenia 2001: Persons who did not live in their locality of birth [discrepancies: none] This variable indicates the year when a person began living in his or her current residence. 1915 1915 or earlier 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 9998 Unknown 9999 NIU (not in universe) Migration: Global Variables -- PERSON Source of livelihood: source 1 <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A419 AM01A420" a="all">Q18: What is your source of livelihood?<br /><div class="i1">18a: _ _ primary source</div><br /><div class="i2">[] 01 Job (except at own household)<br />[] 02 Job at your own household<br />[] 03 Income from ownership<br />[] 04 Scholarship<br />[] 05 Pension<br />[] 06 Allowance (except unemployment)<br />[] 07 Unemployment allowance<br />[] 08 Under state security/care<br />[] 09 Other monetary assistance, state sources<br />[] 10 Other monetary assistance, non-state sources<br />[] 11 Under care of others<br />[] 12 Other sources</div><br /><div class="i1">18b: _ _ secondary source</div><br /><div class="i2">[] 01 Job (except at own household)<br />[] 02 Job at your own household<br />[] 03 Income from ownership<br />[] 04 Scholarship<br />[] 05 Pension<br />[] 06 Allowance (except unemployment)<br />[] 07 Unemployment allowance<br />[] 08 Under state security/care<br />[] 09 Other monetary assistance, state sources<br />[] 10 Other monetary assistance, non-state sources<br />[] 11 Under care of others<br />[] 12 Other sources</div><br /></svar> <svar v="AM01A419 AM01A420" a="all"><span class="em">Question 18</span><br /><br />The sources of the means of your existence (main and secondary)<br /><br /><span class="pg">[p. 21]</span><br /><br />Before beginning of the questions, the interviewer presents the list of the sources of the means of the existence to the replier. From this list, the replier chooses two means of existence, one of them referring as the main (column "18a") and the other one as the secondary (column "18b"). Based on the received answers, the interviewer writes the identification code corresponding to the chosen means of existence.<br /><br /><div class="i1">01. "Work (except the personal industry). The code corresponding to this prompt is written for those people who have a job in which they earn money or food-products or a profitable occupation regardless of the time of the receiving a payment for the job or earning a profit.<br /><br />02. "Work in the personal industry". The prompt code for this category is written for those people who are busy in their personal industry (farm) with agriculture work or in keeping domestic animals. This source is written not only for those who are busy with agriculture for selling proposes but also for those who are producing for the usage in their personal industry if such occupation makes a considerable contribution in the general consumption of the household.<br /><br />03. "Profit from the property". This is written for those people:</div><br /><div class="i2">(a) who are depositors, creditors and get a profit in interests by using their money credits, deposits, loans and so on.<br />(b) who are shareholders and get dividends from the joint-stock company by the difference of the exchange rate of the stocks.<br />(c) who rent a plot or house and earn a profit by the payments for the rent.</div><br /><br /><div class="i1">04. "Scholarship". This prompt code is written for those students who get a scholarship.<br /><br />05. "Pension". This prompt code is written for those people who get a pension:<br />For example, a pension for general work, age pension, pension for handicap children, social pension, pension for people who became handicapped at the time of the military service, pension for the families of the veterans. When the money earner has died, the pension determined for children is for the children and not for the mother or father even if they are the ones who got that pension, and the pension for the family is written by the name of the person who gets it (for example the pension for the families of the veterans).<br /><br />06. "Benefit (except the unemployment benefit)". This prompt code is written for those people who get a monthly social benefit (for example poverty, family benefit, one-off benefit given for the nursing of the children under the age of two and other benefits).<br /><br />07. "Unemployment benefit". This prompt code is written for those people who are registered as an unemployed in the employment services and get an unemployment benefit as well as financial assistance from the resources of the employment fund.<br /><br />08. "Under the state care". This prompt code is written for the children of the orphanages, for the students living in the boarding schools, for the old and handicapped living in the nursing homes as well as for other people living under the care of the state.<br /><br />09. "Other material assistance (from the state resources)". This prompt code is written who get material assistance from the state (or regional) resources under the conditions that has no connection with the work.<br /><br />10. "Material assistance (from non state resources)". This prompt code is written for those who periodically get a material assistance without compensation from non state resources. For example from relatives and not relatives from organizations and so on.<br /><br />11. "Under care". This prompt code is written for those who live by the resources of the relatives and other people as well as for those who get alimony. For example if the alimony is paid to the under-age children, who are the alimony receivers, then "Under care" prompt code is written for the children and not for the mother or father.<br /><br />12. "Other resource". This prompt code is written only for those people whose source of the existence is not mentioned above (for example saving and so on).</div><br /></svar> Armenia 2001: All persons This variable indicates a person's primary source of livelihood. 01 Job (except at own residence) 02 Job at your own residence 03 Income from ownership 04 Scholarship 05 Pension 06 Allowance (except unemployment) 07 Unemployment allowance 08 Under state security or care 09 Other monetary assistance, state sources 10 Other monetary assistance, non-state sources 11 Under care 12 Other sources Income Variables -- PERSON Source of livelihood: source 2 <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A419 AM01A420" a="all">Q18: What is your source of livelihood?<br /><div class="i1">18a: _ _ primary source</div><br /><div class="i2">[] 01 Job (except at own household)<br />[] 02 Job at your own household<br />[] 03 Income from ownership<br />[] 04 Scholarship<br />[] 05 Pension<br />[] 06 Allowance (except unemployment)<br />[] 07 Unemployment allowance<br />[] 08 Under state security/care<br />[] 09 Other monetary assistance, state sources<br />[] 10 Other monetary assistance, non-state sources<br />[] 11 Under care of others<br />[] 12 Other sources</div><br /><div class="i1">18b: _ _ secondary source</div><br /><div class="i2">[] 01 Job (except at own household)<br />[] 02 Job at your own household<br />[] 03 Income from ownership<br />[] 04 Scholarship<br />[] 05 Pension<br />[] 06 Allowance (except unemployment)<br />[] 07 Unemployment allowance<br />[] 08 Under state security/care<br />[] 09 Other monetary assistance, state sources<br />[] 10 Other monetary assistance, non-state sources<br />[] 11 Under care of others<br />[] 12 Other sources</div><br /></svar> <svar v="AM01A419 AM01A420" a="all"><span class="em">Question 18</span><br /><br />The sources of the means of your existence (main and secondary)<br /><br /><span class="pg">[p. 21]</span><br /><br />Before beginning of the questions, the interviewer presents the list of the sources of the means of the existence to the replier. From this list, the replier chooses two means of existence, one of them referring as the main (column "18a") and the other one as the secondary (column "18b"). Based on the received answers, the interviewer writes the identification code corresponding to the chosen means of existence.<br /><br /><div class="i1">01. "Work (except the personal industry). The code corresponding to this prompt is written for those people who have a job in which they earn money or food-products or a profitable occupation regardless of the time of the receiving a payment for the job or earning a profit.<br /><br />02. "Work in the personal industry". The prompt code for this category is written for those people who are busy in their personal industry (farm) with agriculture work or in keeping domestic animals. This source is written not only for those who are busy with agriculture for selling proposes but also for those who are producing for the usage in their personal industry if such occupation makes a considerable contribution in the general consumption of the household.<br /><br />03. "Profit from the property". This is written for those people:</div><br /><div class="i2">(a) who are depositors, creditors and get a profit in interests by using their money credits, deposits, loans and so on.<br />(b) who are shareholders and get dividends from the joint-stock company by the difference of the exchange rate of the stocks.<br />(c) who rent a plot or house and earn a profit by the payments for the rent.</div><br /><br /><div class="i1">04. "Scholarship". This prompt code is written for those students who get a scholarship.<br /><br />05. "Pension". This prompt code is written for those people who get a pension:<br />For example, a pension for general work, age pension, pension for handicap children, social pension, pension for people who became handicapped at the time of the military service, pension for the families of the veterans. When the money earner has died, the pension determined for children is for the children and not for the mother or father even if they are the ones who got that pension, and the pension for the family is written by the name of the person who gets it (for example the pension for the families of the veterans).<br /><br />06. "Benefit (except the unemployment benefit)". This prompt code is written for those people who get a monthly social benefit (for example poverty, family benefit, one-off benefit given for the nursing of the children under the age of two and other benefits).<br /><br />07. "Unemployment benefit". This prompt code is written for those people who are registered as an unemployed in the employment services and get an unemployment benefit as well as financial assistance from the resources of the employment fund.<br /><br />08. "Under the state care". This prompt code is written for the children of the orphanages, for the students living in the boarding schools, for the old and handicapped living in the nursing homes as well as for other people living under the care of the state.<br /><br />09. "Other material assistance (from the state resources)". This prompt code is written who get material assistance from the state (or regional) resources under the conditions that has no connection with the work.<br /><br />10. "Material assistance (from non state resources)". This prompt code is written for those who periodically get a material assistance without compensation from non state resources. For example from relatives and not relatives from organizations and so on.<br /><br />11. "Under care". This prompt code is written for those who live by the resources of the relatives and other people as well as for those who get alimony. For example if the alimony is paid to the under-age children, who are the alimony receivers, then "Under care" prompt code is written for the children and not for the mother or father.<br /><br />12. "Other resource". This prompt code is written only for those people whose source of the existence is not mentioned above (for example saving and so on).</div><br /></svar> Armenia 2001: Persons who had secondary source of livelihood [discrepancies: not verifiable] This variable indicates a person's secondary source of livelihood. 01 Job (except at own residence) 02 Job at your own residence 03 Income from ownership 04 Scholarship 05 Pension 06 Allowance (except unemployment) 07 Unemployment allowance 08 Under state security/care 09 Other monetary assistance, state sources 10 Other monetary assistance, non-state sources 11 Under care 98 Undocumented 99 NIU (not in universe) Income Variables -- PERSON Level of education <svar v="AM01A421 AM01A422 AM01A423"><span class="em">Completed for aged 7 and older</span> [Questions 19-21] <br /></svar></p> <p><svar v="AM01A421" a="all">Q19: What is your educational attainment?<br /><div class="i1">[] 01 Doctor of Science<br />[] 02 Ph.D.<br />[] 03 Postgraduate professional<br />[] 04 Higher professional<br />[] 05 Incomplete professional<br />[] 06 Middle professional<br />[] 07 Primary professional<br />[] 08 General secondary<br />[] 09 General basic<br />[] 10 Primary<br />[] 11 No Primary</div><br /></svar> <svar v="AM01A421 AM01A422 AM01A423"><span class="em">Questions 19, 20, and 21 are filled for the people at the age of 7 and above.</span><br /></svar></p> <p><svar v="AM01A421" a="all"><span class="em">Question 19</span><br /><br />Your academic degree or education. While filling in the question of the academic degree of the replier the time of the registration is taken into consideration for the corresponding certificate.<br /><div class="i1">For those people who have an academic degree "doctor of sciences" or "candidate of sciences" is written and the corresponding prompt codes.<br /><br />For those who got their education abroad, the prompt code is written that corresponds to the degrees they got there.<br /><br />"Postgraduate professional" prompt code is written for those people who have postgraduate degrees.<br /><br />"Higher education" prompt code is written for those who finished state and non state universities, academies, institutes and conservatories. This prompt code is also written for those who have bachelor's and master's degrees.<br /><br />"Incomplete higher education" prompt code is written for those who study or studied in the university, who completed the whole course, those who didn't pass the state exam, those who didn't defend the diploma works. For those people the prompt code of the degree that they received before entering the higher education institution (middle professional or secondary and so on).<br /><br />"Middle professional" prompt code for those people who graduated from colleges and institutions equal to them, state or non state and who got college degrees. For example, pedagogical, medical colleges and so on).<br /><br />"Preliminary professional" prompt code is written for those people who got a preliminary professional education on the bases of basic education. For example technical, handicraft school.<br /><br />"General basic" prompt code is written for those who finished the secondary school and got a corresponding diploma (8 grades).<br /><br />"General elementary" prompt code is written for those who got an elementary education.<br /><br />"No elementary" prompt code is written for the people at the age of 7 and higher (both studying and not studying) who don't have an elementary education but can read and write or only read in any language</div><br />For defining the general basic, general elementary degrees, the "additional chart" for defining the educational level of the people who did not get an education must be used. (See appendix 2).<br /><br />Getting correspondence courses and finishing evening schools is equal to the corresponding educational institutions.<br /><br /><span class="pg">[p. 23]</span><br /><br />For those who studied at or finished at an educational institutions that doesn't give a general education (for example the courses of retraining and re-qualifying courses), the education they got before attending those courses is mentioned.<br /></svar> Armenia 2001: Persons age 7+ [discrepancies: none] This variable indicates a person's level of education. 0 NIU (not in universe) 1 No elementary 2 General elementary 3 General basic 4 General secondary 5 Preliminary professional 6 Middle professional 7 Incomplete professional 8 Higher professional 9 Doctor of Science, PhD, or post-graduate professional Education Variables -- PERSON Literacy <svar v="AM01A421 AM01A422 AM01A423"><span class="em">Completed for aged 7 and older</span> [Questions 19-21] <br /></svar></p> <p><svar v="AM01A422" a="all">Q20: For those without an elementary (primary) education, are they literate?<br /><div class="i1">[Q20 was asked of persons aged 7 years and older who did not have elementary (primary) education, per Q19.]<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="AM01A421 AM01A422 AM01A423"><span class="em">Questions 19, 20, and 21 are filled for the people at the age of 7 and above.</span><br /></svar></p> <p><svar v="AM01A422" a="all"><span class="em">Question 20</span><br /><br />For those who don't have a general elementary education: are you literate?<br /><br />The interviewer asks if the person is literate for those who don't have an elementary education, that is to say for those people for who in the 19th question had an identification code 11 for the "No elementary" prompt.<br /><br />People considered literate are those who can read and understand what they have read in some language. For this question, if the answer is "yes" identification code 1 is written, in case of "no" 2 is written.<br /></svar> Armenia 2001: Persons age 7+ who did not have elementary education [discrepancies: none] This variable indicates whether a person was literate or not. 1 Literate 2 Illiterate 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Type of educational institution <svar v="AM01A421 AM01A422 AM01A423"><span class="em">Completed for aged 7 and older</span> [Questions 19-21] <br /></svar></p> <p><svar v="AM01A423" a="all">Q21: Are you currently studying at an educational institution?<br /><div class="i1">[] 1 Yes, postgraduate<br />[] 2 Yes, higher professional<br />[] 3 Yes, secondary professional<br />[] 4 Yes, secondary basic<br />[] 5 Yes, additional education<br />[] 6 Currently not studying</div><br /></svar> <svar v="AM01A421 AM01A422 AM01A423"><span class="em">Questions 19, 20, and 21 are filled for the people at the age of 7 and above.</span><br /></svar></p> <p><svar v="AM01A423" a="all"><span class="em">Question 21</span><br /><br />Do you study in any educational institution?<br /><br />For those who study by any stationary, correspondence or evening program (both in state and non state educational institutions), in spite of their being cut from the production or not, one of the identification codes is written corresponding to the answers.<br /><br /><div class="i1">"Postgraduate professional" prompt code is written for those who study in the educational centers in a doctorate program as well as for those who study in the higher educational institutions, academic establishments by the corresponding educational programs.<br /><br />"Higher education" prompt code is written for those who study in state and non state higher educational institutions (in institutes, academies, universities, conservatories and so on) and in other educational establishments that provide educational programs equal to them.<br /><br />"Middle professional" prompt code is written for those who study in state and non state colleges and in other educational establishments that provide professional educational programs equal to them (pedagogical, medical colleges and so on).<br /><br />"General education" prompt code is written for those who study in secondary, elementary schools, in gymnasiums, colleges, in special boarding schools as well as for those who study in the schools for the children who have problems with mental and physical development.<br /><br />"Additional education" prompt code is written for those who study in the schools that doesn't give general education (for example preliminary courses in educational institutions, retraining and requalifying courses) and for those who study in the courses for a 6 month period.</div><br /></svar> Armenia 2001: Persons age 7+ [discrepancies: none] This variable indicates the type of educational institution that a person was attending at the time of census. 1 Yes, postgraduate 2 Yes, higher professional 3 Yes, secondary professional 4 Yes, secondary basic 5 Yes, additional education 6 No, not currently studying 9 NIU (not in universe) Education Variables -- PERSON Number of children ever born <svar v="AM01A424 AM01A425"><span class="em">Questions 22-23 are for females aged 15 and older.</span><br /></svar></p> <p><svar v="AM01A424 AM01A425" a="all">Q22: How many children have you given live birth to? _ _ (up to 21 children allowed)<br /><br />Q23: How many of those children are still surviving? _ _ (up to 21 children allowed)<br /></svar> <svar v="AM01A424 AM01A425"><span class="em">Questions 22 and 23 are registered only for women.</span><br /></svar></p> <p><svar v="AM01A424" a="all"><span class="em">Question 22</span><br /><br />How many children did you bear?<br /><br />For women aged 15 and older (regardless of the marital status at the time of the census) the number of children born is written (not counting the ones born dead), regardless of whether all the children are alive at the time of the census or not and whether they are in their household or live separately. Also, adopted children, as well as the children from the previous marriage of the husband are not counted as the children of the given woman. If the woman bore no children, then the number 0 is written.<br /></svar> Armenia 2001: Females age 15+ [discrepancies: none] This variable indicates the number of children to which a female aged 15 and older had ever given birth. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children still alive <svar v="AM01A424 AM01A425"><span class="em">Questions 22-23 are for females aged 15 and older.</span><br /></svar></p> <p><svar v="AM01A424 AM01A425" a="all">Q22: How many children have you given live birth to? _ _ (up to 21 children allowed)<br /><br />Q23: How many of those children are still surviving? _ _ (up to 21 children allowed)<br /></svar> <svar v="AM01A424 AM01A425"><span class="em">Questions 22 and 23 are registered only for women.</span><br /></svar></p> <p><svar v="AM01A425" a="all"><span class="em">Question 23</span><br /><br />How many of them are alive?<br /><br />The number of the children who are alive is written in the column corresponding to the question 23d out of the total number of children the women bore.<br /><br />If at the time of the census, none of her children are alive then 0 is written.<br /></svar> Armenia 2001: Females age 15+ [discrepancies: none] This variable indicates the number of children whom a female aged 15 and older had were still alive. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Marital status <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A426" a="all">Q24a: What is your marital status?<br /><div class="i1">[] 1 Never married<br />[] 2 Married, legally registered<br />[] 3 Married, unregistered<br />[] 4 Married, living separately<br />[] 5 Widowed<br />[] 6 Divorced, legally registered<br />[] 7 Divorced, unregistered</div><br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A426" a="all"><span class="em">Question 24</span><br /><br /><div class="i1"><span class="em">For the people age 15 and older.</span></div><br />Your marital status<br /><br /><div class="i1">"Never married" prompt code is written for those people who have never been married.<br /><br />"Married (registered)" prompt code is written for those people who are married at the time of the census and their marriage is registered in the city hall.<br /><br />"Married/actually (without registration)" prompt code is written for those people who are factually married but they are not registered.<br /><br />"Married but living separately" prompt code is written for those people who are married (registered or not) but they are living separately.<br /><br />"Widowed" prompt code is written for those people whose marriage (regardless of being registered or not) was interrupted because of the death of one of the spouses.<br /><br />"Divorced (registered)" prompt code is written for those people whose marriage was registered but in the present those people are divorced and those facts are registered.<br /><br />"Divorced factually (without registration)" prompt code is written for those people who were married before (registered or not) but now they are divorced and these facts are not registered.</div><br /></svar> Armenia 2001: Persons age 15+ [discrepancies: none] This variable indicates a person's marital status. 1 Never married 2 Married, legally registered 3 Married, unregistered 4 Married, living separately 5 Widowed 6 Divorced, legally registered 7 Divorced, unregistered 9 NIU (not in universe) Demographic Variables -- PERSON Had a job the week before the census <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A427" a="all">Q25: During October 3-9, did you have a job or other income-producing business?<br /><div class="i1">[] 1 Yes<br />[] 2 No [Skip to Question 29]</div><br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A427" a="all"><span class="em">Question 25</span><br /><br />Did you have a job from October 3 to 9 or some other profitable occupation?<br /><br />Identification code 1 that corresponds to the "Yes" prompt code is written for those people who in 2001 October 3-9:<br /><div class="i1">a) Worked only one hour regardless of the fact if their work was permanent, temporary, seasonal, by chance or paying as well as if they had a profitable job, alone or with other workmates or hired people, also regardless of the period of the work.<br />b) Worked with the member of the family, in the relative's organization, on the farm without payment.<br />c) Worked in a personal (additional) farm doing agricultural work or keeping domestic animals in the case it had marketing characteristics.<br />d) Temporarily absent from the work but still had the position with the workplace.</div><br /><br />Temporarily absent from the work are the following cases:<br /><div class="i1">a) Illness or injury, taking care of the sick people<br />b) Vacations and days off, additional vacations, and days off for overtime work and holidays<br />c) The vacation established by the law for pregnancy and for taking care of the children<br />d) Shift work and other works of special characteristics<br />e) The vacation taken by the administration with wholly to partially keeping the salary as well as without keeping the salary<br />f) Strikes</div><br /><br />The students and the pensioners who had work or some other profitable occupation during October 3-9, 2001, are registered as workers and for them also "yes" prompt code is written.<br /><br />"No" prompt code is written for those people who didn't have work or other profitable occupation during October 3-9, 2001 as well as for the following people:<br /><div class="i1">a) People who serve within their household (cleaning the house, doing the laundry, taking care of the children and the old and so on)<br />b) People who do a volunteer work on a personal and social basis, without payment and those who serve different people or charity organizations<br />c) People who manage the borrowings of the establishment or the organization, but they don't take part in their financial activities<br />d) People who beg money (even if it is profitable)</div><br /></svar> Armenia 2001: Persons age 15+ [discrepancies: none] This variable indicates whether a person had a job or other income-producing business the week before the census. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Principal activity at place of work <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A428 AM01A429 AM01A430" a="all">[Questions 26-28 are asked for persons aged 15 years and older who had a job or other income-producing business (per Q25) and were not temporarily present at enumeration (per Q2).]<br /><br />Q26: What is the type of your main job organization, institution or its branch? ____<br /><br />Q27: What is your occupation at your main workplace (type of main workplace) ____<br /><br />Q28: What is your status in your main occupation?<br /><div class="i1">[] 1 Employee<br />[] 2 Employer<br />[] 3 Cooperative (industrial) member<br />[] 4 Entrepreneur<br />[] 5 Self-employed<br />[] 6 Family member assisting family business<br />[] 7 Member of farming household<br />[] 8 Other</div><br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A428" a="all"><span class="em">Question 26 </span><br /><br />What is the character of the activity of your workplace, organization, establishment (or its branch)?<br /><br /><span class="pg">[p. 26]</span><br /><br />The answer for this question is filled in for the people who in October 3-9, 2001 had a job or a profitable occupation (for whom code 1 was written in the 25th question). While filling in the answer, it must be remembered that the character of the activity of the replier's workplace, organization, establishment (or its branch) must be defined clearly and accurately for it to be possible to determine the type of the economic activity later during the future drafting of the questionnaires (that is to say when during the summarizing the type of the economic activity written in words is changed into the codes).<br /><br />Main is considered to be the job/occupation which the replier himself considers to be main for him. If the replier finds it difficult to define the main job then the main can be considered the job where he/ she worked more hours during the week or from where he/she gets more profit.<br /><br />For those people who in October 3-9, 2001 changed their main job, the type of the work that they did at the end of the week is written.<br /><br />For those people who worked in a unit that doesn't have a structural subdivision (for example shop, farm, mine and so on); for example for those people who worked in "Kat" specialized dairy retail store, "specialized dairy retail store" is written. For those people who worked in movable tents or in the market and were doing dairy retail trade "dairy retail trade in the movable tent or market" is written. (The later drafting of the information is done according to the international standards using "the classification of the characters of the economic activities" which was approved and put in use by the Armenian State Standard by the instruction N 21-V, 12.07.2001 (NACE). It was approved by the RA National Statistical Service, by the resolution N 58, 24.07.2001)<br /><br />For those people who worked in the economical unit that had a structural subdivision, where character of activity is different from the character of the economical unit, the main activity of the subdivision where the replier worked is written. For example for the person who works in the cafeteria of the tobacco factory, "the activity of the cafeteria" is written and not that of the tobacco factory. For the doctors (including dentists), who worked in schools, kindergartens and so on "the medical (dentist) activity) is written.<br /><br />For those people who worked in the organizations who have various types of activities, for example firm group or concern, the type of the subdivision where the replier works is written.<br /><br />For those people who work in organizations or establishments, the type the activity of the economic unit or subdivision is written and not the type of the work the replier does. For example, for the person who works as a truck driver in the cement factory "cement production" is written.<br /><br />If the replier finds it difficult to determine the type of the activity of his/her workplace, then the main goods that are produced or the services provided by the organization should be determined and written and the subdivision of the activity in the given organization (the specific weight is the highest in general) should be determined.<br /><br />If the replier is fired from the job for the organization or establishment of a trade-union, then "trade-union activity" is written.<br /><br />For those people who work in their own organization or have their own business (without including hired people or without including them time after time), the corresponding economic activity type is written (for example "shoe repairing", "artel of women's shirts").<br /><br />For those people who work for certain citizens, the corresponding economical type of the activity is written. For example for the seller who does a retail trade of cigarettes "cigarettes retail trade" is written. For those people who are hired personally and who serve in the households (for example secretary, cook, nurse and so on) "household serving" is written.<br /><br />For those people who are engaged in agriculture, the exact type of the activity is written. For example, "growing melon field cultures," "cattle- breeding, stock-raising" or "the production of cattle-breeding products" and so on.<br /><br /><span class="pg">[p. 27]</span><br /><br />For the members of the household or the relatives who work in the organization, establishment, household, farm without payment, the corresponding type of the activity of the organization, establishment, or farm is written.<br /><br />For those people who are engaged in religious activities, "religious activity" is written.<br /><br />For those people who work in the religious organizations, the activity type is written according to the produced product or the type of the service. For example; for those people who engaged in the publishing of the religious newspapers and magazines "newspaper and magazine publication".<br /><br />For those people who serve in the army "serves in the army" is written.<br /><br />For all the people who are unemployed "no" is written.<br /></svar> Armenia 2001: Persons age 15+ who had a job or other income-producing business [discrepancies: none] This variable indicates a person's industry to which his or her principal activity belonged to. 1 Agriculture 2 Manufacturing 3 Trade 4 Public administration 5 Education 6 Other 8 Unknown 9 NIU (not in universe) Work: Industry Variables -- PERSON Occupation in agriculture <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A428 AM01A429 AM01A430" a="all">[Questions 26-28 are asked for persons aged 15 years and older who had a job or other income-producing business (per Q25) and were not temporarily present at enumeration (per Q2).]<br /><br />Q26: What is the type of your main job organization, institution or its branch? ____<br /><br />Q27: What is your occupation at your main workplace (type of main workplace) ____<br /><br />Q28: What is your status in your main occupation?<br /><div class="i1">[] 1 Employee<br />[] 2 Employer<br />[] 3 Cooperative (industrial) member<br />[] 4 Entrepreneur<br />[] 5 Self-employed<br />[] 6 Family member assisting family business<br />[] 7 Member of farming household<br />[] 8 Other</div><br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A429" a="all"><span class="em">Question 27</span><br /><br />Your activity in the main workplace (the type of the job you do).<br /><br />For those people who had a job or a profitable occupation in October 3-9, 2001 (for whom "yes" prompt code is written in the 25th question), a detailed description of the type of the activity (the later drafting of the information will be done according to the international standards using "the model dictionary of occupation", Moscow-99, which was published by CIS statistical committee)) that they do in the workplace, mentioned in the 26th question, is written.<br /><br />If the replier did not work as his/her main occupation, then the main occupation is written. <br /><br />The occupation must be written in detail mentioning the type of the work. It's not allowed to write "manager", "master", "typist", "operator" and so on (because most of them have the same name, but they belong to a different sphere of activity) instead it must be written "manager of the edition", "manager of the library", "the manager of the marketing department", "economic advisor", "drilling master", "computer operator", "camera operator", "sewer", "truck driver", "shop assistant in the construction materials shop" and so on.<br /><br />For those people who work in their own organizations or establishments without hiring people or engaging them in work time after time, the name of the occupation (handicraft) is written; for example "dentist", "sewer" and so on.<br /><br />"Worker" is written for those people who do different works (except agriculture) that doesn't require a specialization, but in other cases the character of the job must be found out and must be written for example "porter".<br /><br /><span class="pg">[p. 28]</span><br /><br />If the replier does agriculture work, depending on the household specialization, the corresponding occupation is written, for example "working in agriculture" working on farm and melon field or "working in agriculture" this time engaged in cattle breeding and poultry farming and so on. If the replier did different work in agriculture and it is impossible to clearly differentiate them from each other, then "engaged in stock breeding" or "engaged in farm works" and so on is written.<br /><br />"Agriculture worker" is written for those people who do different work in agriculture that doesn't require a specialization.<br /><br />For those people who work in the organizations or establishments that belong to the member of the family, without payment, the occupation they are engaged in most of the time is written. For example if the member of the family is engaged in unloading of goods most of the time, it is written "porter".<br />For those who are in the army "doesn't have" is written.<br />For those people who don't have a job or profitable occupation "doesn't have" is written.<br /></svar> Armenia 2001: Persons age 15+ who had a job or other income-producing business [discrepancies: none] This variable indicates whether a person's occupation was in agriculture or not. 1 Agriculture 2 Non-agriculture 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Class of worker <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A428 AM01A429 AM01A430" a="all">[Questions 26-28 are asked for persons aged 15 years and older who had a job or other income-producing business (per Q25) and were not temporarily present at enumeration (per Q2).]<br /><br />Q26: What is the type of your main job organization, institution or its branch? ____<br /><br />Q27: What is your occupation at your main workplace (type of main workplace) ____<br /><br />Q28: What is your status in your main occupation?<br /><div class="i1">[] 1 Employee<br />[] 2 Employer<br />[] 3 Cooperative (industrial) member<br />[] 4 Entrepreneur<br />[] 5 Self-employed<br />[] 6 Family member assisting family business<br />[] 7 Member of farming household<br />[] 8 Other</div><br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A430" a="all"><span class="em">Question 28</span><br /><br />The status of the main occupation<br /><br />This question is filled in for the people who had a job or profitable occupation in October 3-9, 2001 (for whom in the 25th question "yes" prompt code was written). Here the prompt codes that correspond one of the prompts are written.<br /><br /><div class="i1">1. "Hired worker" is considered to be those people who work in the organizations or establishments based on a contract (written or oral) and are paid by salary (money or goods). This prompt code is also written for:</div><br /><br /><div class="i2">those people who are assigned for management<br />managers, supervisors and principles<br />students who get a salary<br />people who work in the organizations that belong to the relatives or the members of the family, who get a salary and work on the same basis and have the same rights as the other people doing the same job and the religious workers.</div><br /><div class="i1">2. "Employer" is considered to be those people who direct their own organization (business) on their own basis or with one or several partners and hire one or more workers for the organization. Also, the partners may or may not be the members of the same family or household.<br /><br />3. "The member of the cooperative (production)" is considered to be those people who work in their own establishments producing goods and services and are an active (working) member in taking part in the process of the production, consumption of goods and dividing the profit with other workers with the same rights. A hired citizen working in the cooperative (production, consumption) is not considered to be the member of the cooperative.<br /><br />4. "Businessman" is considered to be those people who direct their establishment or who realize professional, trade, creative activities or other activities for which they don't hire people or they hire for a very short period of time.<br /><br /><span class="pg">[p. 29]</span><br /><br />5. "Self-employed" is considered to be those people who are engaged in the profitable professional and trade activities without engaging any workers. In some cases, even if they engage workers then it's not permanent. People who are engaged in the personal households are also in this group.<br /><br />6. "The member of the family supporting the activity of the organization" is considered to be those people who work in the organization or establishment that belongs to the member of the family or relative without payment for helping and supporting. As a rule they don't get a payment, of either money or goods, instead they work for a certain reward or for the family budget.<br /><br />7. "The member of the agriculture" is considered to be those people who are engaged in agriculture.<br /><br />8. "Other status" is written for those people whose status of activity is not possible to include in any of the mentioned above.</div><br /></svar> Armenia 2001: Persons age 15+ who had a job or other income-producing business [discrepancies: none] This variable indicates a person's class of worker. 0 NIU (not in universe) 1 Employee 2 Employer 3 Cooperative (industrial) member 4 Entrepreneur 5 Self-employed 6 Family member assisting family business 7 Member of farming household 8 Other 9 Unknown Work Variables -- PERSON Searched for work <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A431 AM01A432 AM01A433 AM01A434">[Questions 29-32 were asked of persons who did not have a job or some other income-producing business per question 25.]<br /></svar></p> <p><svar v="AM01A431" a="all">Q29: Are you currently looking for work?<br /><div class="i1">[] 1 Yes<br />[] 2 No (Skip to question 32)</div><br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 29-30 are filled in for those who do not have a job or any other profitable occupation (including students, pensioners)</span><br /></svar></p> <p><svar v="AM01A431" a="all"><span class="em">Question 29</span><br /><br />Are you looking for a job?<br /><br />For all those people who are looking for a job or are trying to organize their own business, the "yes" prompt code is written, and for those people who are not looking for a job the "no" prompt code is written.<br /><br />The exact ways of looking for a job are applying for a job in the employment centers, administrations of the organizations, establishments, putting advertisements in the newspapers, asking friends, relatives, starting the personal business (getting an allowance or a license, looking for a place for the business and so on).<br /><br />For those people who answered "yes" to this question, questions 30 and 31 are, and for those people who answered "no" question 32d is filled in.<br /></svar> Armenia 2001: Persons age 15+ who did not have a job or any income-producing business [discrepancies: none] This variable indicates whether a person was searching for work at the time of census. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Available for work in two weeks <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A431 AM01A432 AM01A433 AM01A434">[Questions 29-32 were asked of persons who did not have a job or some other income-producing business per question 25.]<br /></svar></p> <p><svar v="AM01A432" a="all">Q30: Are you available to work within the next two weeks?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 29-30 are filled in for those who do not have a job or any other profitable occupation (including students, pensioners)</span><br /></svar></p> <p><svar v="AM01A432" a="all"><span class="em">Question 30</span><br /><br /><span class="pg">[p. 30]</span><br /><br />Are you available to start work in the coming 2 weeks?<br /><br />For those people who are looking for a job and in the case of being offered an appropriate job are available to start work in coming 2 weeks, the "yes" prompt code is written, and for those who cannot start the work in the same period of time depending on some reasons the "no" prompt code is written.<br /></svar> Armenia 2001: Persons age 15+ who did not have a job or any income-producing business and were looking for work [discrepancies: none] This variable indicates whether a person was ready for work in two weeks. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Looking for work the first time <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A431 AM01A432 AM01A433 AM01A434">[Questions 29-32 were asked of persons who did not have a job or some other income-producing business per question 25.]<br /></svar></p> <p><svar v="AM01A433" a="all">Q31: Is this the first time you have been looking for a job?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 29-30 are filled in for those who do not have a job or any other profitable occupation (including students, pensioners)</span><br /></svar></p> <p><svar v="AM01A433" a="all"><span class="em">Question 31</span><br /><br />Are you looking for a job for the first time?<br /><br />The "Yes" prompt code is written for those people who are looking for a job for the first time, that is to say they have never worked before. The "No" prompt code is written for those people who have looked for a job for many times.<br /></svar> Armenia 2001: Persons age 15+ who did not have a job or any income-producing business and were looking for work [discrepancies: none] This variable indicates whether a person was looking for work the first time. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Reason for not looking for work <svar v="AM01A403 AM01A417 AM01A418 AM01A419 AM01A420 AM01A421 AM01A422 AM01A423 AM01A424 AM01A425 AM01A426 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Is not completed for temporary presents</span><br />[Questions 16-32 were asked of persons absent and permanently present only. Persons who are temporarily present are not included.]<br /></svar></p> <p><svar v="AM01A431 AM01A432 AM01A433 AM01A434">[Questions 29-32 were asked of persons who did not have a job or some other income-producing business per question 25.]<br /></svar></p> <p><svar v="AM01A434" a="all">Q32: What is the reason (you are not looking for a job)?<br /><div class="i1">[] 1 Applied for work and will start working soon<br />[] 2 Applied for a job and am waiting for an answer<br />[] 3 Homemaker ("conducting the household")<br />[] 4 No hope of finding a job<br />[] 5 No need to work<br />[] 6 Student<br />[] 7 Age, health<br />[] 8 Other</div><br /></svar> <svar v=" AM01A403 AM01A427 AM01A428 AM01A429 AM01A430 AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 22-32 are registered only for the people of 15 years old and higher. </span></svar></p> <p><svar v="AM01A431 AM01A432 AM01A433 AM01A434"><span class="em">Questions 29-30 are filled in for those who do not have a job or any other profitable occupation (including students, pensioners)</span><br /></svar></p> <p><svar v="AM01A434" a="all"><span class="em">Question 32</span><br /><br />What is the reason?<br /><br />For those people who are not looking for a job, one of the prompt codes corresponding to one of the eight causes offered as an answer in the 32 column must be written.<br /></svar> Armenia 2001: Persons age 15+ who did not have a job or any income-producing business and were not looking for work [discrepancies: none] This variable indicates the reasons why a person was not looking for work. 1 Applied for work and will start working soon 2 Applied for a job and waiting for an answer 3 Homemaker 4 No hope of finding a job 5 No need to work 6 Student 7 Age, health 8 Other 9 NIU (not in universe) Work Variables -- PERSON