National Census of Housing and Population 2012 DDI_BOL_2012_PHC_v01_M_v7.5_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

IPUMS May 21, 2024 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 7.5 October 2024. NEW FEATURES. --Historical data from NAPP project now available from IPUMS-International. --Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk. --Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples. --New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures. NEW SAMPLES. --Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. --Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) --Labor force surveys from Spain and eight new labor force surveys from Italy added to the series. Newly added countries: Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe New samples for: Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe SUPPLEMENTAL DATA. Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system. NEW VARIABLES. --IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here. --IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography. --Added more detailed 3-digit industry and occupation variables for China 2000. EDITED SAMPLES. --Revised full-count data for Great Britain 1881 --Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets: --Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS. --Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE. --A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute. EDITED VARIABLES. An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01. AGEMARR was edited to add data for Hungary 1980 and 1990. Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries. Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000. Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here. The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education. Errors affecting EDUCFJ for Fiji 2006 were corrected. A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals. MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers. An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected. An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed. All the six Brazil samples in IPUMS International were replaced with higher density samples. An edited version of the Chile 2017 sample was introduced to correct an error in household breaks. Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected. Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here. An error in PERWT affecting Nepal 2001 was corrected. Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household. An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited. Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error in INCEARN affecting Brazil 1980 was corrected. An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected. A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit. The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN. An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed. A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals. Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error affecting codes for COMPUTER for Senegal 2013 was corrected. An error affecting labels available in IND for Peru 1993 was corrected. An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected. EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization. HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province. In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE. Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected. Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected. National Census of Housing and Population 2012 - IPUMS Subset PHC Bolivia 2012 (IPUMS Harmonized Subset) BOL_2012_PHC_v01_M_v7.5_A_IPUMS National Institute of Statistics, Ministry of Planning and Coordination, Republic of Bolivia IPUMS (c) Copyright 2012, National Institute of Statistics, Ministry of Planning and Coordination, Republic of Bolivia and Minnesota Population Center National Institute of Statistics, Ministry of Planning and Coordination, Republic of Bolivia Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Other Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Dwelling Characteristics 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 Household Economic Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Technical Person Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Constructed Family Interrelationship Variables -- PERSON Nativity and Birthplace Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Demographic Variables -- PERSON Other Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Migration: Global Variables -- PERSON Work Variables -- PERSON Fertility and Mortality Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Work: Industry Variables -- PERSON Work: Occupation Variables -- PERSON Education Variables -- PERSON Nativity and Birthplace Variables -- PERSON November 11, 2012 November 21 to 23, 2012 Bolivia Province Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: A dwelling is any room or set of rooms and their outbuildings that occupy a building or a separated part of a building, and that are used for human habitation, and which, at the time of the census, is not fully used for other purposes. A dwelling must have direct access from public spaces or from common spaces without passing through another dwelling. Dwellings also include any fixed or mobile shelter in which a person spent the night before Census Day. - Households: Private households are persons who live together in a dwelling because of familial or emotional ties. - Group quarters: A collective dwelling is inhabited by a group of persons who live there for reasons of age, health, education, religion, work, or imprisonment,etc. Examples include a hotel, inpatient hospital, homes for the elderly or for children, religious boarding schools, barracks, jails, prisons, etc. All the population in the national territory at the moment the census is carried out. People in transit are those who are passing through a census site and who have a different usual residence. People who live on the street are those who have no dwelling. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Bolivia 2012 MICRODATA SOURCE: National Institute of Statistics, Ministry of Planning and Coordination, Republic of Bolivia SAMPLE SIZE (person records): 1003516. SAMPLE DESIGN: Sample drawn by the National Statistical Office. People in transit are those who are passing through a census site and who have a different usual residence. People who live on the street are those who have no dwelling. Face-to-face [f2f] A single booklet that consists of sections on geographic location, dwelling, household emigration, household mortality, and population (individual) de facto, CENSUS DAY: November 11, 2012 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 Institute of Statistics, Ministry of Planning and Coordination, Republic of Bolivia . Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.18128/D020.V7.5 Researchers should also acknowledge the statistical agency that originally produced the data: Bolivia, National Institute of Statistics, Ministry of Planning and Coordination, Republic of Bolivia. National Census of Housing and Population 2012 The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.5 Extract for bo2012a, 2024 BOL2012_PHC-H-H.dat Household records 292,117 ascii Minnesota Population Center Version 7.5, IPUMS sample BOL2012_PHC-P-H.dat Person records 1003516 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 Ivory Coast 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 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 Ivory Coast 1988 384199801 Ivory Coast 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 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 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 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 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 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD 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 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit string variable listing the population density in persons per square kilometer. 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 string variable listing the area in square kilometers. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit string variable listing the area in square kilometers. Geography: Global Variables -- HOUSEHOLD Bolivia, Department 1976 - 2012 [Level 1; consistent boundaries, GIS] GEO1_BO identifies the household's department within Bolivia in all sample years. Departments are the first level administrative units of the country. GEO1_BO 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_BO can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Bolivia can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 068001 Chuquisaca 068002 La Paz 068003 Cochabamba 068004 Oruro 068005 Potosí 068006 Tarija 068007 Santa Cruz 068008 Beni 068009 Pando Geography: A-E Variables -- HOUSEHOLD Bolivia, Department 2012 [Level 1, GIS] GEO1_BO2012 identifies the household's department within Bolivia in 2012. Departments are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_BO2012 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Bolivia can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001 Chuquisaca 002 La Paz 003 Cochabamba 004 Oruro 005 Potosí 006 Tarija 007 Santa Cruz 008 Beni 009 Pando Geography: A-E Variables -- HOUSEHOLD Bolivia, Province 1976 - 2001 [Level 2; consistent boundaries, GIS] GEO2_BO identifies the household's province within Bolivia in all sample years. Provinces are the second level administrative units of the country, after departments. GEO2_BO is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_BO can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Bolivia can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 068001001 Oropeza 068001002 Nor Cinti 068001003 Tomina, Belisario Boeto 068001004 Zudañez 068001005 Hernando Siles 068001006 Yamparaez 068001007 Sud Cinti 068001008 Azurduy 068001009 Luis Calvo 068002001 Murillo 068002002 Ingavi 068002003 Aroma, Gualberto Villarroel 068002004 Sud Yungas 068002005 Nor Yungas, Caranavi 068002006 Larecaja 068002007 Omasuyos 068002008 Los Andes 068002009 Inquisivi 068002010 Pacajes, José Manuel Pando 068002011 Franz Tamayo, Abel Iturralde, Bautista Saavedra 068002012 Camacho 068002013 Loayza 068002014 Manco Kapac 068002015 Muñecas 068003001 Cercado 068003002 Quillacollo 068003003 Chapare 068003004 Carrasco 068003005 Arani, Tiraque 068003006 Ayopaya 068003007 Punata 068003008 Esteban Arce 068003009 Mizque 068003010 Campero 068003011 German Jordán 068003012 Capinota 068003013 Arque, Bolívar 068003014 Tapacarí 068004001 Cercado, Tomas Barron 068004002 Poopó, Abaroa, Sebastián Pagador 068004003 Carangas, Litoral, Saucari, Sur Carangas, Nor Carangas 068004004 Sajama, Ladislao Cabrera, Sabaya, San Pedro de Totora, Mejillones 068004005 Pantaleon Dalence 068005001 Tomas Frias 068005002 Chayanta 068005003 Rafael Bustillo 068005004 Cornelio Saavedra 068005005 Sur Chichas 068005006 Antonio Quijarro 068005007 Charcas, Bernardino Bilbao Rioja 068005008 Jose Maria Linares 068005009 Modesto Omiste 068005010 Nor Chichas 068005011 Alonso de Ibañez 068005012 Nor Lípez, Sur Lípez, Daniel Campos, Enrique Baldivieso 068006001 Cercado 068006002 Gran Chaco 068006003 Aniceto Arce, Aviles 068006004 Méndez 068006005 Burnet Oconnor 068007001 Andrés Ibañez 068007002 Obispo Santiestevan 068007003 Ñuflo de Chávez, Guarayos 068007004 Chiquitos, German Busch 068007005 Cordillera 068007006 Warnes 068007007 Ichilo 068007008 Velasco, Angel Sandoval 068007009 Sara 068007010 Florida 068007011 Vallegrande 068007012 Manuel Maria Caballero 068008001 Vaca Diez 068008002 Cercado 068008003 José Ballivián 068008004 Yacuma, Mamore 068008005 Moxos, Marban 068008006 Itenez 068009001 Nicolás Suárez 068009002 Manuripi, Abuna, Federico Román, Madre de Dios Geography: A-E Variables -- HOUSEHOLD Bolivia, Province 2012 [Level 2, GIS] GEO2_BO2012 identifies the household's province within Bolivia in 2012. Provinces are the second level administrative units of the country, after departments. A GIS map (in shapefile format), corresponding to GEO2_BO2012 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Bolivia can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001001 Oropeza 001002 Nor Cinti 001003 Tomina, Belisario Boeto 001004 Zudañez 001005 Hernando Siles 001006 Yamparaez 001007 Sud Cinti 001008 Azurduy 001009 Luis Calvo 002001 Murillo 002002 Ingavi 002003 Aroma, Gualberto Villarroel 002004 Sud Yungas 002005 Larecaja 002006 Omasuyos 002007 Los Andes 002008 Inquisivi 002009 Pacajes, José Manuel Pando 002010 Caranavi 002011 Franz Tamayo, Abel Iturralde, Bautista Saavedra 002012 Camacho 002013 Loayza 002014 Nor Yungas 002015 Manco Kapac 002016 Muñecas 003001 Cercado 003002 Quillacollo 003003 Chapare 003004 Carrasco 003005 Arani, Tiraque 003006 Ayopaya 003007 Punata 003008 Esteban Arce 003009 Mizque 003010 Campero 003011 German Jordán 003012 Capinota 003013 Arque, Bolívar 003014 Tapacarí 004001 Cercado, Tomas Barron 004002 Poopó, Abaroa, Sebastián Pagador 004003 Carangas, Litoral, Saucari, San Pedro de Totora, Nor Carangas 004004 Pantaleon Dalence 004005 Sajama, Sabaya, Mejillones 004006 Ladislao Cabrera, Sur Carangas 005001 Tomas Frias 005002 Chayanta 005003 Rafael Bustillo 005004 Cornelio Saavedra 005005 Sur Chichas 005006 Antonio Quijarro 005007 Charcas, Bernardino Bilbao Rioja 005008 José Maria Linares 005009 Modesto Omiste 005010 Nor Chichas 005011 Alonso de Ibañez 005012 Nor Lípez, Sur Lípez, Daniel Campos, Enrique Baldivieso 006001 Cercado 006002 Gran Chaco 006003 Aniceto Arce, Aviles 006004 Méndez 006005 Burnet Oconnor 007001 Andrés Ibañez 007002 Obispo Santiestevan 007003 Cordillera 007004 Ñuflo de Chávez 007005 Warnes 007006 Ichilo 007007 Velasco, Angel Sandoval 007008 Chiquitos 007009 Guarayos 007010 Sara 007011 German Busch 007012 Florida 007013 Vallegrande 007014 Manuel Maria Caballero 008001 Vaca Diez 008002 Cercado 008003 José Ballivián 008004 Yacuma, Mamore 008005 Moxos, Marban 008006 Itenez 009001 Nicolás Suárez 009002 Manuripi, Abuna, Federico Román 009003 Madre de Dios Geography: A-E Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Number of international migrants INTMIG1 indicates the number of people from the household who traveled to another country to live and have not permanently returned. 00 No migrants 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 or more 98 Unknown 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Internet access INTERNET indicates whether or not the household had an internet connection. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown Utilities Variables -- HOUSEHOLD Trash disposal This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner. 00 NIU (not in universe) 10 Collected by a sanitation service 11 Collected directly from the household or dwelling 12 Collected indirectly from a garbage container or deposit 13 Collected by a sanitation service only 14 Collected by a sanitation service and disposed of in some other manner 20 Disposed of in some other manner 21 Burned or buried 22 Burned 23 Buried 24 Thrown into street, vacant land, or common area 25 Thrown into river, lake, ocean, lagoon, etc. 26 Thrown into canyon or gulley 27 Dumped in pit 28 Communal refuse dump 29 Own refuse dump 30 Authorized refuse dump 31 Illegal refuse dump 32 Other dumping 33 Outside 34 In the fields 35 Fed to animals 36 Composted 37 Heap 38 Garden 39 Other, none 99 Unknown/missing Utilities Variables -- HOUSEHOLD Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material FLOOR indicates the dwelling's predominant flooring material. 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Roof material This variable indicates the dwelling's predominant roofing material. 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Number of deaths in household last year MORTNUM indicates the number of deaths in the household in the past year. 0 None 1 1 death 2 2 deaths 3 3 deaths 4 4 deaths 5 5 deaths 6 6 deaths 7 7 or more deaths 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Any deaths in household last year ANYMORT indicates whether there were any deaths in the household in the past year. 1 Yes 2 No 8 Unknown/missing 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Bolivia 2012: All records This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Bolivia 2012: All records This variable indicates the number of persons in the household. 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 Technical Household Variables -- HOUSEHOLD Type of dwelling <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>1. Type of dwelling</p> <div class="i1">Mark based on observation.<br /><br />Private</div><div class="i2">[] 1 House / hut / <span class="lang">pahuichi</span><br />[] 2 Apartment<br />[] 3 Individual room(s)<br />[] 4 Improvised dwelling<br />[] 5 Premises not intended as a dwelling</div><div class="i1">Collective</div><div class="i2">[] 6 Collective dwelling (Hotels, hospitals, nursing homes, barracks, etc.) [Go to Chapter F]</div><div class="i1">No dwelling</div><div class="i2">[] 7 In transit [Go to Chapter F]<br />[] 8 Person living on the street [Go to Chapter F]</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Dwelling</span> <br />A dwelling is any structurally separate and independent premises or enclosure that was built, converted, or set up for permanent or temporary housing of one or more people. A dwelling must have direct access from public spaces (plazas, streets, avenues, etc.) or from common spaces (hallways, patios, staircases) without passing through another dwelling.</p> <p><span class="em">1. Type of dwelling</span> <br />The type of dwelling has three possible categories: private dwelling, collective dwelling, and no dwelling.</p> <p><span class="em">Private dwelling</span> <br />This is a dwelling meant as permanent or temporary housing for a person or group of people, with or without family ties, who live as a family and typically share their meals.</p> <p>Private dwellings are classified as follows:</p> <div class="i1">- House/hut/pahuichi. This is a freestanding dwelling covered by a roof, with exterior walls, with direct access from public areas.<br />- Apartment. This is a dwelling located inside a building along with others of the same type, accessed from common spaces, hallways, corridors, or other direct access points. <br /><span class="pg">[p. 11]</span><br />Generally, apartments have a water supply and their own private basic services.<br />- Individual room(s). Part of a house or tenement building occupied by a household at the time of the census. In general, individual rooms share a water supply and toilets with other households.<br />- Improvised dwelling. This is an enclosure or shelter adapted for use as a dwelling. Usually, improvised dwellings lack bathrooms and kitchens, and are built with scrap materials such as cardboard, tinplate, boards, plastics, and so on. Examples of improvised dwellings include chujilla huts, anaca tents, awnings, canopies, and railroad cars.<br />- Premises not intended as a dwelling. This category includes sheds, garages, barns, warehouses, caves, natural refuges, stalls, and so on, that are inhabited at the time of the census.</div><span class="em">Collective dwelling</span> <br />A collective dwelling is one intended as permanent or temporary housing for a group of people generally not related to each other, who live together for reasons of discipline, education, religion, health, work, or some other reason. Collective dwellings include hospitals, nursing homes, orphanages, boarding schools, jails, barracks, and hotels.</p> <p><span class="em">No dwelling</span> <br />This category includes people in transit as well as people living on the street.</p> <div class="i1">- People in transit are those who are passing through a census site and who have a different usual residence; examples include people who, on the night before Census Day, slept at bus terminals, border checkpoints, fairs, and similar places.<br />- People who live on the street are those who have no dwelling and wander the streets.</div><p>The entry for type of dwelling is obtained by observation, and indicated by marking the appropriate circle or bubble. Bolivia 2012: All households This variable indicates the dwelling type. 1 Private, house, hut, or pahuichi 2 Private, apartment 3 Private, individual room(s) 4 Private, improvised dwelling 5 Private, premises not intended as a dwelling 6 Collective dwelling (hotels, hospitals, nursing homes, barracks, etc.) 7 No dwelling, in transit 8 No dwelling, person living on the street Group Quarters Variables -- HOUSEHOLD Dwelling occupancy status <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>2. The dwelling is...</p> <div class="i1">Mark based on observation.<br /><br />Occupied dwellings</div><div class="i2">[] 1 Occupied with people present<br />[] 2 Occupied with people temporarily absent</div><div class="i1">Unoccupied dwellings</div><div class="i2">[] 3 For rent and/or sale<br />[] 4 Under construction or repair<br />[] 5 Abandoned</div><div class="i1">[If 2-5: After confirming with the neighbors that no occupants are present in the dwelling, go on to the next dwelling.]</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="em">2. Occupancy status of the dwelling</span> <br />Information on the occupancy status of dwellings is collected only for private dwellings. <br />Private dwellings may be occupied or unoccupied.</p> <p><span class="em">Occupied dwellings</span> <br />These are dwellings that, at the time of the census, are occupied in one of two ways: occupied dwellings with people present at the time of the census, or occupied dwellings with people temporarily absent.</p> <div class="i1">- An occupied dwelling with people present is one with one or more occupants present at the time of the census.<br />- An occupied dwelling with people temporarily absent is one that is occupied but whose occupants are absent at the time of the census.</div><span class="em">Unoccupied dwellings</span> <br />These are dwellings that, at the time of the census, are not inhabited by anyone, but which could become inhabited at any time. Unoccupied dwellings include dwellings that are:</p> <div class="i1">- For rent and/or sale. These are unoccupied dwellings available for rental or purchase.<br />This information may be obtained from a notice or may be provided by a neighbor.<br />- Under construction or repair. The dwelling will be included in the census as long as the roofs and other enclosures are complete, including doors, windows, and other glass.<br /><span class="pg">[p. 12]</span><br />- Abandoned. These are dwellings that despite being abandoned are still in habitable condition.</div><p>Do not include dwellings that are in ruins. <br />Information on the dwelling's occupancy status can be obtained by observation and indicated by marking the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the occupancy status of the dwelling. 0 Occupied with people present without head of household 1 Occupied with people present 9 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Main material of exterior wall <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>3. What is the main construction material used in the exterior walls of this dwelling?</p> <div class="i1">[] 1 Brick, concrete blocks, concrete<br />[] 2 Adobe, rammed earth<br />[] 3 Tabique, quinche<br />[] 4 Stone<br />[] 5 Wood<br />[] 6 Reed, palm, log<br />[] 7 Other</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Main construction materials used in building the dwelling</span> <br /><span class="em">3. Main construction material used in the exterior walls</span> <br />It refers to primary construction material of the walls of the exterior or outline of the dwelling. Exclude any fences or perimeter walls around it. Mark the appropriate circle or bubble. <br /><span class="em">4. Plaster on the interior walls of the dwelling</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">5. Main construction material used in the roofs</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">6. Main construction material used in the floors</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the exterior wall material of the dwelling. 1 Brick, concrete blocks, concrete 2 Adobe, rammed earth 3 Tabique, quinche 4 Stone 5 Wood 6 Reed, palm, log 7 Other 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Main material of interior walls <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>4. Do the interior walls of this dwelling have plaster?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Main construction materials used in building the dwelling</span> <br /><span class="em">3. Main construction material used in the exterior walls</span> <br />It refers to primary construction material of the walls of the exterior or outline of the dwelling. Exclude any fences or perimeter walls around it. Mark the appropriate circle or bubble. <br /><span class="em">4. Plaster on the interior walls of the dwelling</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">5. Main construction material used in the roofs</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">6. Main construction material used in the floors</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether or not there is plaster on the interior walls of the dwelling. 1 Plaster on interior walls 2 No plaster on interior walls 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Main material of roofs <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>5. What is the main material used in the roofs of this dwelling?</p> <div class="i1">[] 1 Corrugated metal or sheet metal<br />[] 2 Clay roof tile, cement roof tile, fiber cement<br />[] 3 Reinforced concrete slab<br />[] 4 Straw, palm, reed, mud<br />[] 5 Other</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Main construction materials used in building the dwelling</span> <br /><span class="em">3. Main construction material used in the exterior walls</span> <br />It refers to primary construction material of the walls of the exterior or outline of the dwelling. Exclude any fences or perimeter walls around it. Mark the appropriate circle or bubble. <br /><span class="em">4. Plaster on the interior walls of the dwelling</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">5. Main construction material used in the roofs</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">6. Main construction material used in the floors</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the main material of the roof of the dwelling. 1 Corrugated metal or sheet metal 2 Clay roof tile, cement roof tile, fiber cement 3 Reinforced concrete slab 4 Straw, palm, reed, mud 5 Other 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Main material of floors <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>6 What is the main material used in the floors of this dwelling?</p> <div class="i1">[] 1 Soil<br />[] 2 Wooden board<br />[] 3 Tongue-and-groove wood<br />[] 4 Parquet<br />[] 5 Ceramic<br />[] 6 Cement<br />[] 7 Mosaic, floor tile<br />[] 8 Brick<br />[] 9 Other</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Main construction materials used in building the dwelling</span> <br /><span class="em">3. Main construction material used in the exterior walls</span> <br />It refers to primary construction material of the walls of the exterior or outline of the dwelling. Exclude any fences or perimeter walls around it. Mark the appropriate circle or bubble. <br /><span class="em">4. Plaster on the interior walls of the dwelling</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">5. Main construction material used in the roofs</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">6. Main construction material used in the floors</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the main material of the floor of the dwelling. 0 NIU (not in universe) 1 Soil 2 Wooden board 3 Tongue-and-groove wood 4 Parquet 5 Ceramic 6 Cement 7 Mosaic, floor tile 8 Brick 9 Other Dwelling Characteristics Variables -- HOUSEHOLD Primary souce of water <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>7. Does the water used in this dwelling come primarily from...?</p> <div class="i1">[] 1 Public utility pipes<br />[] 2 Public wash basin<br />[] 3 Water truck<br />[] 4 Well or waterwheel with pump<br />[] 5 Well or waterwheel with no pump<br />[] 6 Rainwater, river, spring, stream<br />[] 7 Lake, pond, wetland</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Water supply</span> <br /><span class="em">7. Water supply system</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">8. Water distribution within the dwelling</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the dwelling's primary source of water. 1 Public utility pipes 2 Public wash basin 3 Water truck 4 Well or waterwheel with pump 5 Well or waterwheel with no pump 6 Rainwater, river, spring, stream 7 Lake, pond, wetland 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Water distribution <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>8. Is the water used in this dwelling distributed by...?</p> <div class="i1">[] 1 Pipes within the dwelling<br />[] 2 Pipes outside the dwelling but on the lot or grounds<br />[] 3 Pipes outside the dwelling not on the lot or grounds<br />[] 4 Not distributed through pipes</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Water supply</span> <br /><span class="em">7. Water supply system</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">8. Water distribution within the dwelling</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the water distribution system of the dwelling. 1 Pipes within the dwelling 2 Pipes outside the dwelling but on the lot or grounds 3 Pipes outside the dwelling not on the lot or grounds 4 Not distributed through pipes 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Toilet, bathroom, or latrine <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>9. Does it have a toilet, bathroom, or latrine?</p> <div class="i1">[] 1 Yes, private<br />[] 2 Yes, shared<br />[] 3 No, dwelling does not have [Go to question 11]</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Toilet</span> <br /><span class="em">9. Availability of a toilet</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">10. Waste water disposal</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether the dwelling has a toilet, bathroom, or latrine. 1 Yes, private 2 Yes, shared 3 No, dwelling does not have 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Sewage <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>10. Does the toilet, bathroom, or latrine drain into...?</p> <div class="i1">[] 1 The sewage system<br />[] 2 A septic tank<br />[] 3 A cesspit<br />[] 4 The street<br />[] 5 The creek or river<br />[] 6 A lake, pond, or wetland</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Toilet</span> <br /><span class="em">9. Availability of a toilet</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">10. Waste water disposal</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings with toilet, bathroom, or latrine [discrepancies: none] This variable indicates the sewage system of the dwelling. 1 Sewage system 2 Septic tank 3 Cesspit 4 Street 5 Creek, river 6 Lake, pond, wetland 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Source of electric power <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>11. Do they have electricity that comes from...?</p> <div class="i1">[] 1 Electric company grid (public service)<br />[] 2 Own generator<br />[] 3 Solar panel<br />[] 4 Other<br />[] 5 None</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Energy</span> <br /><span class="em">11. Availability and source of electricity</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">12. Main fuel or power used for cooking</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the dwelling's primary source of electric power. 1 Electric company grid (public service) 2 Own generator 3 Solar panel 4 Other 5 None 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Main fuel or power used for cooking <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>12. What is the main fuel or power used for cooking?</p> <div class="i1">[] 1 Household gas (through pipes)<br />[] 2 Bottled gas<br />[] 3 Electricity<br />[] 4 Solar energy<br />[] 5 Wood<br />[] 6 Guano, dung, or manure<br />[] 7 Other<br />[] 8 No cooking</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Energy</span> <br /><span class="em">11. Availability and source of electricity</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">12. Main fuel or power used for cooking</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the main fuel or power used for cooking in the dwelling. 1 Household gas (through pipes) 2 Bottled gas 3 Electricity 4 Solar energy 5 Wood 6 Guano, dung, or manure 7 Other 8 No cooking 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Room for cooking <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>13. Is there a dedicated room for cooking?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Rooms in the dwelling</span> <br /><span class="em">13. Availability of a room for cooking.</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">14. Number of rooms in the dwelling</span> <br />In the census, a room is any interior space large enough to accommodate an adult-sized cot or bed. The question about the number of rooms in the dwelling has two boxes for noting down the answer. In these boxes, note down the number of rooms used as bedrooms or for other purposes, not counting any kitchens, bathrooms, laundry rooms, foyers, hallways, or storage rooms. <br /><span class="em">15. Number of rooms used only for sleeping</span> <br />In the boxes, note down the number of rooms used only as bedrooms. If the dwelling has no such rooms, put 0. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether the dwelling has a room that is used only for cooking. 1 Yes 2 No 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms (excluding bathrooms and kitchens) <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>14. How many rooms does your household occupy, not counting bathrooms or kitchens? _ _ <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Rooms in the dwelling</span> <br /><span class="em">13. Availability of a room for cooking.</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">14. Number of rooms in the dwelling</span> <br />In the census, a room is any interior space large enough to accommodate an adult-sized cot or bed. The question about the number of rooms in the dwelling has two boxes for noting down the answer. In these boxes, note down the number of rooms used as bedrooms or for other purposes, not counting any kitchens, bathrooms, laundry rooms, foyers, hallways, or storage rooms. <br /><span class="em">15. Number of rooms used only for sleeping</span> <br />In the boxes, note down the number of rooms used only as bedrooms. If the dwelling has no such rooms, put 0. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the number of rooms in the dwelling that the household occupies, excluding bathrooms and kitchens. 1 1 room 2 2 rooms 3 3 4 4 5 5 6 6 7 7 8 8+ 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms used only for sleeping <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>15. Of the total number of rooms, how many are used only for sleeping? _ _ <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Rooms in the dwelling</span> <br /><span class="em">13. Availability of a room for cooking.</span> <br />Mark the appropriate circle or bubble. <br /><span class="em">14. Number of rooms in the dwelling</span> <br />In the census, a room is any interior space large enough to accommodate an adult-sized cot or bed. The question about the number of rooms in the dwelling has two boxes for noting down the answer. In these boxes, note down the number of rooms used as bedrooms or for other purposes, not counting any kitchens, bathrooms, laundry rooms, foyers, hallways, or storage rooms. <br /><span class="em">15. Number of rooms used only for sleeping</span> <br />In the boxes, note down the number of rooms used only as bedrooms. If the dwelling has no such rooms, put 0. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the number of rooms in the dwelling the household used only for sleeping. 0 No rooms used only for sleeping 1 1 room 2 2 rooms 3 3 4 4 5 5 6 6 7 7 8 8 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Main trash disposal <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>16. What is the main way you dispose of trash?</p> <div class="i1">[] 1 Deposit it in the public trashcan or dumpster<br />[] 2 Use the public trash collection service (garbage truck)<br />[] 3 Throw it into a vacant lot or the street<br />[] 4 Throw it in a river<br />[] 5 Burn it<br />[] 6 Bury it<br />[] 7 Other</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Disposing of trash</span> <br /><span class="em">16. Disposal of trash</span> <br />This refers to solid waste disposal. Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the household's main method of trash disposal. 1 Deposit it in the public trashcan or dumpster 2 Use the public trash collection service (garbage truck) 3 Throw it into a vacant lot or the street 4 Throw it in the river 5 Burn it 6 Bury it 7 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Have a radio <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>17. Does this home have...</p> <div class="i1">A radio?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether anyone in the household has a radio. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Have a television <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>17. Does this home have...</p> <div class="i1">A television?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether anyone in the household has a television. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Have a computer <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>17. Does this home have...</p> <div class="i1">A computer?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether anyone in the household has a computer. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Have internet service <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>17. Does this home have...</p> <div class="i1">Internet service?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether the dwelling has internet service. 1 Yes 2 No 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Have fixed or cellular phone service <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>17. Does this home have...</p> <div class="i1">Fixed or cellular phone service?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether the household has fixed or cellular phone service. 1 Yes 2 No 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Have a motor vehicle <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>18. Does this home have...</p> <div class="i1">A motor vehicle?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether anyone in the household has a motor vehicle. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Have a bicycle <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>18. Does this home have...</p> <div class="i1">A bicycle?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether anyone in the household has a bicycle. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Have a motorcycle or all-terrain vehicle <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>18. Does this home have...</p> <div class="i1">A motorcycle or all-terrain vehicle?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether anyone in the household has a motorcycle or all-terrain vehicle. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Have a wagon or cart <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>18. Does this home have...</p> <div class="i1">A wagon or cart?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether anyone in the household has a wagon or cart. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Have a speedboat, raft, canoe, or small boat <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>18. Does this home have...</p> <div class="i1">A speedboat, raft, canoe, or small boat?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Household equipment</span> <br /><span class="em">17 and 18. Household equipment</span> <br />Question 17 collects information about access to information and communication technologies (ICTs), and question 18 gathers information about the availability of means of transportation. In both cases, mark the circle or bubble corresponding to each answer, which in each case may be either yes or no. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether anyone in the household has a speedboat, raft, canoe, or small boat. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Household tenure <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p>19. Is the dwelling that this household occupies...?</p> <div class="i1">[] 1 Owned<br />[] 2 Rented<br />[] 3 Under a contract of antichresis<br />[] 4 Under a contract of antichresis and rent<br />[] 5 Granted in exchange for services<br />[] 6 Lent by relatives or friends<br />[] 7 Other</div> <span class="h2">Chapter B. Main characteristics of the dwelling</span></p> <p><span class="h3">Ownership or tenancy</span> <br /><span class="em">19. Form of ownership or tenancy of the dwelling</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the tenure status of the household. 1 Owned 2 Rented 3 Under a contract of antichresis 4 Under a contract of antichresis and rent 5 Granted in exchange for services 6 Lent by relatives or friends 7 Other 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Household member from 2001 but now living in another country <span class="h2">Chapter C. International emigration</span></p> <p>20. Is there anyone who lived with you in this home in 2001 or later who now lives in another country?</p> <div class="i1">[] 1 Yes</div><div class="i2">How many people? _ _</div><div class="i1">[] 2 No [Go to question 21]</div> <span class="h2">Chapter C. International emigration</span> <br />The purpose of this chapter is to capture information about emigration of the Bolivian population from this country from the year 2001 to the date of the census. <br />The first part of the question acts as a ''filter'' to find out if one or more people living in the household moved to another country.</p> <p>If the answer is yes, ask, ''How many people?'' and note the stated number in the appropriate boxes. Then fill in the table by writing the name of each person who emigrated from this country, the person's sex, the year of departure, age at departure, and the country where the person lives now.</p> <p>If the answer to this question is no, go to question 21, chapter D, of the census form. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether any members of the household in 2001 are now living in another country. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Number of household members living in another country <span class="h2">Chapter C. International emigration</span></p> <p>In the table below, record the information for each of the people who now live in another country. <br />Number _ <br />The person is:</p> <div class="i1">[] 1 Female<br />[] 2 Male</div><p>Year of departure _ _ _ _ <br />Age at departure _ _ _ <br />Country where person now lives ____ <span class="h2">Chapter C. International emigration</span> <br />The purpose of this chapter is to capture information about emigration of the Bolivian population from this country from the year 2001 to the date of the census. <br />The first part of the question acts as a ''filter'' to find out if one or more people living in the household moved to another country.</p> <p>If the answer is yes, ask, ''How many people?'' and note the stated number in the appropriate boxes. Then fill in the table by writing the name of each person who emigrated from this country, the person's sex, the year of departure, age at departure, and the country where the person lives now.</p> <p>If the answer to this question is no, go to question 21, chapter D, of the census form. Bolivia 2012: Private dwellings with at least one member living in another country [discrepancies: none] This variable indicates the number of members of the household in 2001 living in another country. 1 1 person 2 2 persons 3 3 4 4 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Death last year <span class="h2">Chapter D. Mortality</span></p> <p>21. From January to December of last year, did anyone who lived with you in this home die?</p> <div class="i1">[] 1 Yes</div><div class="i2">How many people? _ _</div><div class="i1">[] 2 No [Go to question 22]</div> <span class="h2">Chapter D. Mortality</span> <br />This chapter aims to gather information about mortality in general as well as maternal mortality in women aged 15 and above during the period from January to December of 2011. The first part of the question acts as a ''filter'' to find out if one or more people living in the household died during calendar year 2011. If the answer is yes, ask, ''How many people?'' and note the stated number in the appropriate boxes. Then, fill in the table, writing the name of each of the deceased, their age at their final birthday (writing 0 for those under one year old), and the deceased's sex. <br />If the deceased was a woman at least 15 years old, also ask the cause of death. If the answer is no, go to question 22, chapter E, of the census form. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether there were any deaths in the household in the last year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Number of deaths <span class="h2">Chapter D. Mortality</span></p> <p>21. From January to December of last year, did anyone who lived with you in this home die?</p> <div class="i1">[] 1 Yes</div><div class="i2">How many people? _ _</div><div class="i1">[] 2 No [Go to question 22]</div><p>In the table below, record the information for each of the people who died. Don't forget children, newborns, and old people. <br />Number _ <br />Age at death (Write 0 if under 1 year old) _ _ _ <br />The person was:</p> <div class="i1">[] 1 Female<br />[] 2 Male</div><p>If it was a woman at least 15 years old, did she die of causes related to...</p> <div class="i1">[] 1 Pregnancy<br />[] 2 Childbirth<br />[] 3 Postpartum (up to 2 months after childbirth)<br />[] 4 Other cause</div> <span class="h2">Chapter D. Mortality</span> <br />This chapter aims to gather information about mortality in general as well as maternal mortality in women aged 15 and above during the period from January to December of 2011. The first part of the question acts as a ''filter'' to find out if one or more people living in the household died during calendar year 2011. If the answer is yes, ask, ''How many people?'' and note the stated number in the appropriate boxes. Then, fill in the table, writing the name of each of the deceased, their age at their final birthday (writing 0 for those under one year old), and the deceased's sex. <br />If the deceased was a woman at least 15 years old, also ask the cause of death. If the answer is no, go to question 22, chapter E, of the census form. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates the number of deaths in the household in the last year. 0 No death 1 1 2 2 3 3 4 4 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Persons with disabilities in household <span class="h2">Chapter E. People with a permanent difficulty</span></p> <p>22. Does anyone in this household have a permanent difficulty with any of the following?</p> <div class="i1">Seeing, even if they use glasses or contact lenses<br />Hearing, even if they use a hearing aid?<br />Speaking, communicating, or conversing?<br />Walking or climbing stairs?</div><div class="i2">[] 1 Yes<br />[] 2 No [Go to question 23]</div> <span class="h2">Chapter E. People with a permanent difficulty</span> <br />This chapter aims to obtain information about whether there are people present in the dwelling who have permanent difficulty seeing, hearing, speaking, walking, or remembering. The first part of the question acts as a ''filter'' to find out if one or more people present in the dwelling has some permanent difficulty.</p> <p><span class="pg">[p. 14]</span></p> <p>If the answer is yes, ask the name of the person or of each of the people with some permanent difficulty, their age at their most recent birthday (writing 0 for those under one year of age), their sex, and the permanent difficulty.</p> <p>If the answer is no, go to question 23, chapter F, of the census form. Bolivia 2012: Private dwellings [discrepancies: none] This variable indicates whether there are any persons with disabilities in the household. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Urban or rural Bolivia 2012: All households This variable indicates whether the dwelling is located in an urban or rural area. 1 Urban 2 Rural Geography: A-E Variables -- HOUSEHOLD Factor Bolivia 2012: All households This variable indicates the weighting factor. This is a 11-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. 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 Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Month of last birth LASTBMO indicates the month of birth of the last child born by the respondent. The data refer to live births. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year of last birth LASTBYR indicates the year of birth of the last child born by the respondent. The data refer to live births. 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Unknown 9999 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of last birth LASTBMORT indicates the mortality status of the last child born to a woman. There is no constraint on how long ago the child may have been born. Only live births are considered. 0 NIU (not in universe) 1 Alive 2 Dead 9 Unknown Fertility and Mortality Variables -- PERSON 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 Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 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, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or 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 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or 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, other or 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 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or 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 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 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) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace Variables -- PERSON Has birth certificate or birth is registered BTHCERT indicates whether the person has a birth certificate or their own birth is registered. 1 Yes 2 No 3 Respodent does not know 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Year of immigration YRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated. 0000 NIU (not in universe) 1790 1790 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 In transit 9999 Unknown Nativity and Birthplace Variables -- PERSON Years since immigrated YRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration. 00 0 (within previous year) 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97+ 98 Unknown 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Years since immigrated, categorized YRSIMM2 indicates the number of years since a foreign-born person immigrated to the country. The number of years is grouped into intervals. 1 Less than 1 year 2 1 to 4 years 3 5 to 9 years 4 10 or more years 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Province of birth, Bolivia BPLBO indicates the person's province of birth within Bolivia. 101 Oropeza 102 Azurduy 103 Zudañez 104 Tomina 105 Hernando Siles 106 Yamparaez 107 Nor Cinti 108 Belisario Boeto 109 Sud Cinti 110 Luis Calvo 199 Chuquisaca, province unknown 201 Murillo 202 Omasuyos 203 Pacajes 204 Camacho 205 Muñecas 206 Larecaja 207 Franz Tamayo 208 Ingavi 209 Loayza 210 Inquisivi 211 Sud Yungas 212 Los Andes 213 Aroma 214 Nor Yungas 215 Abel Iturralde 216 Bautista Saavedra 217 Manco Kapac 218 Gualberto Villarroel 219 José Manuel Pando 220 Caranavi 299 La Paz, province unknown 301 Cercado 302 Campero 303 Ayopaya 304 Esteban Arce 305 Arani 306 Arque 307 Capinota 308 Germán Jordán 309 Quillacollo 310 Chapare 311 Tapacarí 312 Carrasco 313 Mizque 314 Punata 315 Bolívar 316 Tiraque 399 Cochabamba, province unknown 401 Cercado 402 Eduardo Avaroa 403 Carangas 404 Sajama 405 Litoral de Atacama 406 Poopó 407 Pantaleón Dalence 408 Ladislao Cabrera 409 Atahuallpa 410 Saucarí 411 Tomás Barrón 412 Sud Carangas 413 San Pedro de Totora 414 Sebastián Pagador 415 Puerto de Mejillones 416 Nor Carangas 499 Oruro, province unknown 501 Tomás Frías 502 Rafael Bustillo 503 Cornelio Saavedra 504 Chayanta 505 Charcas 506 Nor Chichas 507 Alonso de Ibáñez 508 Sur Chichas 509 Nor Lípez 510 Sud Lípez 511 José María Linares 512 Antonio Quijarro 513 Bernardino Bilbao Rioja 514 Daniel Campos 515 Modesto Omiste 516 Enrique Baldivieso 599 Potosí, province unknown 601 Cercado 602 Aniceto Arce 603 Gran Chaco 604 Avilés 605 Méndez 606 Burnet O' Oconnor 699 Tarija, province unknown 701 Andrés Ibáñez 702 Warnes 703 Velasco 704 Ichilo 705 Chiquitos 706 Sara 707 Cordillera 708 Vallegrande 709 Florida 710 Obispo Santisteban 711 Ñuflo de Chávez 712 Ángel Sandoval 713 Manuel María Caballero 714 Germán Busch 715 Guarayos 799 Santa Cruz, province unknown 801 Cercado 802 Vaca Díez 803 José Ballivián 804 Yacuma 805 Moxos 806 Marbán 807 Mamoré 808 Iténez 899 Beni, province unknown 901 Nicolás Suárez 902 Manuripi 903 Madre de Dios 904 Abuná 905 Federico Román 989 Pando, province unknown 997 Born in Bolivia, province unknown 998 Foreign country 999 Unknown and NIU Nativity and Birthplace Variables -- PERSON Department of birth, Bolivia BPLBO2 indicates the person's department of birth within Bolivia. 01 Chuquisaca 02 La Paz 03 Cochabamba 04 Oruro 05 Potosi 06 Tarija 07 Santa Cruz 08 Beni 09 Pando 96 Born in Bolivia, province unknown 97 Foreign birthplace 98 Unknown Nativity and Birthplace Variables -- PERSON Member of an indigenous group INDIG indicates whether the person belonged to an indigenous group. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Ethnicity and Language Variables -- PERSON Ethnicity, Bolivia ETHNICBO indicates the Bolivian indigenous group, if any, to which the respondent belongs. 01 Quechua 02 Aymara 03 Guarani 04 Chiquitano 05 Mojeño 06 Afroboliviano 07 Ayoreo 08 Baure 09 Canichana 10 Cavineño 11 Cayubaba 12 Chacobo 13 Bésiro 14 Uru Chipayas 15 Esse Ejja 16 Guarayo 17 Itonoma 18 Joaquiniano 19 Kallawaya 20 Leco 21 Maropa 22 Ignaciano 23 Trinitario 24 Mosetén 25 Movima 26 Murato 27 Urus 28 Pacahuara 29 Sirionó 30 Tacana 31 Tsimane Chiman 32 Weenayek 33 Yaminahua 34 Yuracaré 35 Yuracaré-Mojeño 36 Aroma 37 Chayanta 38 Chichas 39 Chiriguano 40 Coroma 41 Jach'a Pacajaqui 42 Jacha Carangas 43 Larecaja 44 Lipez 45 Monkox 46 Pukina 47 Qhapaq Uma Suyu 48 Qhara Qhara 49 Qollas 50 Quillacas 51 Suyu Chuwi 52 Suyu Sura 53 Yampara 54 Originary 55 Intercultural 56 Peasant [Campesino] 60 Indigenous, other or not specified 70 Not indigenous 98 Unknown 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON Speaks English SPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy. 1 Yes 2 No 7 Does not speak 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Speaks indigenous language SPEAKIND indicates whether a person speaks an indigenous language, and for many Latin American samples whether they also speak Spanish. 0 NIU (not in universe) 1 Yes, speaks indigenous language 2 Yes, speaks indigenous and Spanish 3 Yes, speaks only indigenous 4 No, does not speak indigenous language 8 Does not speak 9 Unknown Ethnicity and Language Variables -- PERSON Language spoken, Bolivia LANGBO indicates the language or languages spoken by the respondent in Bolivia. 01 Spanish 02 Aymara 03 Quechua 04 Guarani 05 Spanish, Aymara 06 Spanish, Quechua 07 Aymara, Quechua 08 Spanish, Aymara, Quechua 09 Spanish and other/multiple indigenous language 10 Other/multiple indigenous language 12 Does not speak or speaks only foreign language 99 Unknown Ethnicity and Language Variables -- PERSON Mother tongue, Bolivia MTONGBO indicates the language the respondent learned to speak as a child: the person's mother tongue. 01 Quechua 02 Aymara 03 Araona 04 Bésiro 05 Canichana 06 Cavineño 07 Cayubaba 08 Chácobo 09 Chimán 10 Ese Ejja 11 Guarasuawe 12 Guarayu 13 Itonama 14 Leco 15 Machajuyai-Kallawaya 16 Mojeño-Ignaciano 17 Mojeño-Trinitario 18 Mosetén 19 Movima 20 Tacana 21 Uruchipaya 22 Weenhayek 23 Yuracaré 24 Zamuco 25 Spanish 26 Guarani 27 Other native language 30 Foreign language 31 German 32 Catalan 33 Chinese 34 Korean 35 French 36 Dutch 37 English 38 Italian 39 Japanese 40 Portugese 41 Russian 42 Swedish 43 Other foreign language 97 Does not speak 98 Unknown 99 NIU (not in universe) 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 Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Bolivia EDUCBO indicates the person's educational attainment in Bolivia in terms of the level of schooling completed. 100 NONE OR PRESCHOOL 110 None 120 Preschool 130 Some primary [edattan] 200 Primary/Basic 210 Primary 6-years (1976, 2012) 211 Primary (1976, 2012), year 1 212 Primary (1976, 2012), year 2 213 Primary (1976, 2012), year 3 214 Primary (1976, 2012), year 4 215 Primary (1976, 2012), year 5 216 Primary (1976, 2012), year 6 219 Primary (1976, 2012), year unknown 220 Basic 5-years 221 Basic, year 1 222 Basic, year 2 223 Basic, year 3 224 Basic, year 4 225 Basic, year 5 226 Basic, year 5, level completed 229 Basic, year unknown 230 Primary 8-years (2001, 2012) 231 Primary (2001-2012), year 1 232 Primary (2001-2012), year 2 233 Primary (2001-2012), year 3 234 Primary (2001-2012), year 4 235 Primary (2001-2012), year 5 236 Primary (2001-2012), year 6 237 Primary (2001-2012), year 7 238 Primary (2001-2012), year 8 300 Secondary/Middle school 310 Secondary 6-years (1976, 2012) 311 Secondary (1976, 2012), year 1 312 Secondary (1976, 2012), year 2 313 Secondary (1976, 2012), year 3 314 Secondary (1976, 2012), year 4 315 Secondary (1976, 2012), year 5 316 Secondary (1976, 2012), year 6 319 Secondary (1976, 2012), year unknown 320 Intermediate 321 Intermediate, year 1 322 Intermediate, year 2 323 Intermediate, year 3 324 Intermediate, year 3, level completed 329 Intermediate, year unknown 330 Middle 331 Middle, year 1 332 Middle, year 2 333 Middle, year 3 334 Middle, year 4 335 Middle, year 4, level completed 339 Middle, year unknown 400 Technical institute (or unspecified) 401 Technical institute or unspecified, year 1 402 Technical institute or unspecified, year 2 403 Technical institute or unspecified, year 3 404 Technical institute or unspecified, year 4+ 409 Technical institute or unspecified, year unknown 410 Technical degree (university) 411 Technical university, year 1 412 Technical university, year 2 413 Technical university, year 3 414 Technical university, year 4 420 Military or police training 421 Military/police, year 1 422 Military/police, year 2 423 Military/police, year 3 424 Military/police, year 4 425 Military/police, year 5 430 Normal school 431 Normal school, year 1 432 Normal school, year 2 433 Normal school, year 3 434 Normal school, year 4+ 439 Normal school, year unknown 440 Other 500 University 501 University, year 1 502 University, year 2 503 University, year 3 504 University, year 4 505 University, year 5 506 University, year 6+ 509 University, year unknown 510 Master 511 Master, year 1 512 Master, year 2 520 Doctoral 521 Doctoral, year 1 522 Doctoral, year 2 523 Doctoral, year 3 524 Doctoral, year 4 800 Other 801 Other, year 1 802 Other, year 2 803 Other, year 3 804 Other, year 4 805 Other, year 5 806 Other, year 6 807 Other, year 7+ 809 Other, year unknown 998 Unknown 999 NIU (not in universe) 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) 310 Housework 320 Unable to work, disabled or health reasons 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2011 Austria 1971-2001 - German Belarus 1999 - Russian Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1985 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 1976 Cameroon 2005 Canada 1971 Canada 1981-1991 Canada 2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 China 1982 China 1990 China 2000 Colombia 1964 Colombia 1973 - Spanish Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d'Ivoire 1988 Cote d'Ivoire 1998 Cuba 2002 Cuba 2012 Denmark 1845 Denmark 1880 Denmark 1885 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1974 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971-1991 - Greek Greece 2001 - Greek Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 1996 Guinea 2014 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 1988 Honduras 2001 Hungary 1970-1990 Hungary 2001 Hungary 2011 India 1983-2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2005 Iran 2006 Iran 2011 Iraq 1997 Ireland 1901 Ireland 1911 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kenya 1989 Kyrgyz Republic 1999 Laos 1995 Lesotho 1996 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico Surveys 2005-2020 Mongolia 2000 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970 - Spanish Panama 1980 - Spanish Panama 1990 - Spanish Panama 2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 1990 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 2000 Philippines 2010 Poland 1978 Poland 1988 Poland 2002 Portugal 1981 - Portuguese Portugal 1991 - Portuguese Portugal 2001 - Portuguese Portugal 2011 Puerto Rico 1970 Puerto Rico 1980 Puerto Rico 1990 Puerto Rico 2000-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2002 Senegal 2013 Slovak Republic 1991 Slovak Republic 2001 Slovak Republic 2011 Sierra Leone 2004 Sierra Leone 2015 Slovenia 2002 South Africa 1996 South Africa 2001 South Africa 2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970 Switzerland 1980 Switzerland 1990 Switzerland 2000 Switzerland 2011 Tanzania 1988 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1960 Togo 1970 Togo 2010 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Trinidad and Tobago 2011 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 1991 Uganda 2002 Uganda 2014 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1975 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 Zimbabwe 2012 Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2001 Armenia 2011 Austria 1971-2001 - German Austria 2011 Bangladesh 1991 Bangladesh 2001 Bangladesh 2011 Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 2005 Canada 1971 Canada 1981 Canada 1991-2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 Chile 2017 China 1982 China 1990 China 2000 Colombia 1964 - Spanish Colombia 1973 - Spanish Colombia 1993 - Spanish Colombia 2005 - Spanish Costa Rica 1963 Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d’Ivoire 1988 Cote d’Ivoire 1998 Cuba 2002 Cuba 2012 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 1996 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1966 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1968 - French France 1975-1982 - French France 1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1971 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971 Greece 1981 Greece 1991-2001 Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 2014 Haiti 1971 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 2001 Hungary 2001 Hungary 2011 India 1983 India 1987 India 1993 India 1999 India 2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2000 Indonesia 2005 Indonesia 2010 Iran 2006 Iran 2011 Iraq 1997 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2013 Italy Surveys 2014-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kyrgyz Republic 1999 Kyrgyz Republic 2009 Laos 1995 Laos 2005 Laos 2015 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico surveys 2005-2019 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2006 Nigeria 2007 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970-1980 - Spanish Panama 1990-2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 1995 Philippines 2000 Philippines 2010 Poland 1978 Poland 2002 Portugal 1981 - Portuguese Portugal 1991-2001 - Portuguese Portugal 2011 Puerto Rico 1970-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2013 Sierra Leone 2004 South Africa 1996 South Africa 2001-2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970-2000 Switzerland 2011 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1970 Togo 2010 Trinidad and Tobago 1980 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 2002 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1985 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 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 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 Migration status, 5 years MIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available. 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 99 Unknown/missing Migration: Global Variables -- PERSON Country of residence 5 years ago MIGCTRY5 indicates the country of residence 5 years ago for international migrants. Persons who did not live abroad 5 years earlier 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 12090 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 13999 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 15030 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 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 Western Africa, n.s. 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 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21280 Curacao 21290 Sint Maarten 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 22990 Central America, n.s. 22991 Central America and Caribbean 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 23999 South America, n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North or Central America, n.s. 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 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32900 South Asia, not specified 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33900 South-Eastern Asia, not specified 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 34999 Middle East, n.e.c. 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.e.c. 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 42999 Northern Europe, n.e.c. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxembourg 44022 Benelux (Belgium/Netherlands/Luxembourg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49999 Europe, n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 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) 52999 Melanesia, n.e.c. 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. 54999 Polynesia, n.e.c. 59999 Oceania, n.s. 60000 Other 60010 Other Arab country 90000 Non-migrants (international) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON 1st subnational geographic level of residence 5 years prior to survey, world [consistent boundaries over time] GEOMIG1_5 indicates the major administrative unit in which the person resided five years prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence five years ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_5 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_1, and GEOMIG1_10. More on migration and geography can be found here. 032002 City of Buenos Aires [Province: Argentina] 032006 Buenos Aires province [Province: Argentina] 032010 Catamarca [Province: Argentina] 032014 Córdoba [Province: Argentina] 032018 Corrientes [Province: Argentina] 032022 Chaco [Province: Argentina] 032026 Chubut [Province: Argentina] 032030 Entre Ríos [Province: Argentina] 032034 Formosa [Province: Argentina] 032038 Jujuy [Province: Argentina] 032042 La Pampa [Province: Argentina] 032046 La Rioja [Province: Argentina] 032050 Mendoza [Province: Argentina] 032054 Misiones [Province: Argentina] 032058 Neuquén [Province: Argentina] 032062 Río Negro [Province: Argentina] 032066 Salta [Province: Argentina] 032070 San Juan [Province: Argentina] 032074 San Luis [Province: Argentina] 032078 Santa Cruz [Province: Argentina] 032082 Santa Fe [Province: Argentina] 032086 Santiago del Estero [Province: Argentina] 032090 Tucumán [Province: Argentina] 032094 Tierra del Fuego [Province: Argentina] 032096 Argentina, unknown [Province: Argentina] 032097 Foreign country [Province: Argentina] 032098 Unknown [Province: Argentina] 032999 NIU (not in universe) [Province: Argentina] 068001 Chuquisaca [Department: Bolivia] 068002 La Paz [Department: Bolivia] 068003 Cochabamba [Department: Bolivia] 068004 Oruro [Department: Bolivia] 068005 Potosí [Department: Bolivia] 068006 Tarija [Department: Bolivia] 068007 Santa Cruz [Department: Bolivia] 068008 Beni [Department: Bolivia] 068009 Pando [Department: Bolivia] 068096 Bolivia, province unknown [Department: Bolivia] 068097 Foreign country [Department: Bolivia] 068098 Unknown [Department: Bolivia] 068099 NIU (not in universe) [Department: Bolivia] 072001 Gaborone [District: Botswana] 072002 Francistown [District: Botswana] 072003 Lobatse [District: Botswana] 072004 Selebi Phikwe [District: Botswana] 072007 Central Tutume, Sowa [District: Botswana] 072010 Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana] 072011 Borolong [District: Botswana] 072020 South East [District: Botswana] 072030 Kweneng, Kweneng South, Kweneng North [District: Botswana] 072040 Kgatleng [District: Botswana] 072050 Central Serowe/Palapye [District: Botswana] 072051 Central Mahalapye [District: Botswana] 072052 Central Bobonong [District: Botswana] 072053 Central Boteti, Orapa [District: Botswana] 072060 North East [District: Botswana] 072070 Ngamiland East [District: Botswana] 072071 Ngamiland West, Delta [District: Botswana] 072072 Chobe [District: Botswana] 072080 Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana] 072090 Tshabong (Kgalagadi South) [District: Botswana] 072091 Hukunsti (Kgalagadi North) [District: Botswana] 072092 Botswana, district unknown [District: Botswana] 072097 Abroad [District: Botswana] 072098 Unknown [District: Botswana] 072099 NIU (not in universe) [District: Botswana] 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] 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] 124010 Newfoundland and Labrador [Province: Canada] 124011 Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada] 124012 Nova Scotia [Province: Canada] 124013 New Brunswick [Province: Canada] 124024 Quebec [Province: Canada] 124035 Ontario [Province: Canada] 124046 Manitoba [Province: Canada] 124047 Saskatchewan [Province: Canada] 124048 Alberta [Province: Canada] 124059 British Columbia [Province: Canada] 124099 NIU (not in universe) [Province: Canada] 152014 Iquique, Tamarugal [Province: Chile] 152021 Antofagasta [Province: Chile] 152022 El Loa [Province: Chile] 152023 Tocopilla [Province: Chile] 152031 Copiapó [Province: Chile] 152032 Chañaral [Province: Chile] 152033 Huasco [Province: Chile] 152041 Elqui [Province: Chile] 152042 Choapa [Province: Chile] 152043 Limarí [Province: Chile] 152051 Valparaíso, Quillota, Marga Marga, Isla de Pascua [Province: Chile] 152053 Los Andes [Province: Chile] 152054 Petorca [Province: Chile] 152056 San Antonio [Province: Chile] 152057 San Felipe de Aconcagüa [Province: Chile] 152061 Cachapoal [Province: Chile] 152062 Cardenal Caro [Province: Chile] 152063 Colchagua [Province: Chile] 152071 Talca [Province: Chile] 152072 Cauquenes [Province: Chile] 152073 Curicó [Province: Chile] 152074 Linares [Province: Chile] 152081 Concepción [Province: Chile] 152082 Arauco [Province: Chile] 152083 Biobío [Province: Chile] 152091 Cautín [Province: Chile] 152092 Malleco [Province: Chile] 152101 Llanquihue [Province: Chile] 152102 Chiloé, Palena [Province: Chile] 152103 Osorno [Province: Chile] 152111 Coihaique [Province: Chile] 152112 Aisén, General Carrera, Capitan Prat [Province: Chile] 152121 Magallanes, Tierra del Fuego, Antártica Chilena [Province: Chile] 152124 Última Esperanza [Province: Chile] 152131 Santiago [Province: Chile] 152132 Cordillera [Province: Chile] 152133 Chacabuco [Province: Chile] 152134 Maipo [Province: Chile] 152135 Melipilla [Province: Chile] 152136 Talagante [Province: Chile] 152141 Valdivia, Ranco [Province: Chile] 152151 Arica, Parinacota [Province: Chile] 152163 Diguillín, Itata, Punilla [Province: Chile] 152997 Foreign country [Province: Chile] 152998 Unknown [Province: Chile] 152999 NIU (not in universe) [Province: Chile] 156011 Beijing [Province: China] 156012 Tianjin [Province: China] 156013 Hebei [Province: China] 156014 Shanxi [Province: China] 156015 Inner Mongolia [Province: China] 156021 Liaoning [Province: China] 156022 Jilin [Province: China] 156023 Heilongjiang [Province: China] 156031 Shanghai [Province: China] 156032 Jiangsu [Province: China] 156033 Zhejiang [Province: China] 156034 Anhui [Province: China] 156035 Fujian [Province: China] 156036 Jiangxi [Province: China] 156037 Shandong [Province: China] 156041 Henan [Province: China] 156042 Hubei [Province: China] 156043 Hunan [Province: China] 156044 Guangdong, Hainan [Province: China] 156045 Guangxi [Province: China] 156051 Sichuan, Chongqing [Province: China] 156052 Guizhou [Province: China] 156053 Yunnan [Province: China] 156054 Tibet [Province: China] 156061 Shaanxi [Province: China] 156062 Gansu [Province: China] 156063 Qinghai [Province: China] 156064 Ningxia [Province: China] 156065 Xinjiang [Province: China] 156071 Taiwan [China] 156072 Hong Kong [China] 156073 Macao [China] 156097 Other countries [Province: China] 156099 NIU (not in universe) [Province: China] 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] 170099 NIU (not in universe), [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] 188099 NIU (not in universe) [Province: Costa Rica] 214001 Distrito Nacional, Santo Domingo [Province: Dominican Republic] 214002 Azua [Province: Dominican Republic] 214003 Baoruco, Barahona, Independencia [Province: Dominican Republic] 214005 Dajabón [Province: Dominican Republic] 214006 Duarte [Province: Dominican Republic] 214007 Elías Piña [Province: Dominican Republic] 214008 El Seibo, Hato Mayor [Province: Dominican Republic] 214009 Espaillat [Province: Dominican Republic] 214011 La Altagracia, La Romana [Province: Dominican Republic] 214013 Monseñor Nouel, La Vega [Province: Dominican Republic] 214014 María Trinidad Sánchez [Province: Dominican Republic] 214015 Monte Cristi [Province: Dominican Republic] 214016 Pedernales [Province: Dominican Republic] 214017 San José de Ocoa, Peravia [Province: Dominican Republic] 214018 Puerto Plata, Santiago [Province: Dominican Republic] 214019 Hermanas Mirabal [Province: Dominican Republic] 214020 Samaná [Province: Dominican Republic] 214021 San Cristóbal, Monte Plata [Province: Dominican Republic] 214022 San Juan [Province: Dominican Republic] 214023 San Pedro De Macorís [Province: Dominican Republic] 214024 Sánchez Ramírez [Province: Dominican Republic] 214026 Santiago Rodríguez [Province: Dominican Republic] 214027 Valverde [Province: Dominican Republic] 214097 Foreign country [Province: Dominican Republic] 214098 Unknown [Province: Dominican Republic] 214099 NIU (not in universe) [Province: Dominican Republic] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [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] 242001 Central [Province: Fiji] 242002 Eastern [Province: Fiji] 242003 Northern [Province: Fiji] 242004 Western [Province: Fiji] 242097 Foreign country [Province: Fiji] 242098 Unknown [Province: Fiji] 242999 NIU (not in universe) [Province: Fiji] 288001 Western [Region: Ghana] 288002 Central [Region: Ghana] 288003 Greater Accra [Region: Ghana] 288004 Volta [Region: Ghana] 288005 Eastern [Region: Ghana] 288006 Ashanti [Region: Ghana] 288007 Brong Ahafo [Region: Ghana] 288008 Northern [Region: Ghana] 288009 Upper East [Region: Ghana] 288010 Upper West [Region: Ghana] 288098 Unknown [Region: Ghana] 288099 NIU (not in universe) [Region: Ghana] 300001 Etolia and Akarnania [Department: Greece] 300003 Viotia [Department: Greece] 300004 Evia [Department: Greece] 300005 Evrytania [Department: Greece] 300006 Fthiotida [Department: Greece] 300007 Fokida [Department: Greece] 300011 Argolida [Department: Greece] 300012 Arkadia [Department: Greece] 300013 Achaia [Department: Greece] 300014 Ilia [Department: Greece] 300015 Korinthia [Department: Greece] 300016 Lakonia [Department: Greece] 300017 Messinia [Department: Greece] 300021 Zakynthos [Department: Greece] 300022 Kerkyra [Department: Greece] 300023 Kefallinia [Department: Greece] 300024 Lefkada [Department: Greece] 300031 Arta [Department: Greece] 300032 Thesprotia [Department: Greece] 300033 Ioannina [Department: Greece] 300034 Preveza [Department: Greece] 300041 Karditsa [Department: Greece] 300042 Larissa [Department: Greece] 300043 Magnissia [Department: Greece] 300044 Trikala [Department: Greece] 300051 Grevena [Department: Greece] 300052 Drama [Department: Greece] 300053 Imathia [Department: Greece] 300054 Thessaloniki [Department: Greece] 300055 Kavala [Department: Greece] 300056 Kastoria [Department: Greece] 300057 Kilkis [Department: Greece] 300058 Kozani [Department: Greece] 300059 Pella [Department: Greece] 300061 Pieria [Department: Greece] 300062 Serres [Department: Greece] 300063 Florina [Department: Greece] 300064 Chalkidiki and Agion Oros [Department: Greece] 300071 Evros [Department: Greece] 300072 Xanthi [Department: Greece] 300073 Rodopi [Department: Greece] 300081 Dodekanissos [Department: Greece] 300082 Kyklades [Department: Greece] 300083 Lesvos [Department: Greece] 300084 Samos [Department: Greece] 300085 Chios [Department: Greece] 300091 Iraklio [Department: Greece] 300092 Lassithi [Department: Greece] 300093 Rethymno [Department: Greece] 300094 Chania [Department: Greece] 300101 Prefecture of Athens [Department: Greece] 300102 Prefecture of East Attiki [Department: Greece] 300103 Prefecture of West Attiki [Department: Greece] 300104 Prefecture of Pireas [Department: Greece] 300996 Foreign country [Department: Greece] 300997 Response suppressed [Department: Greece] 300998 Unknown [Department: Greece] 300999 NIU (not in universe) [Department: Greece] 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] 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] 332099 NIU (not in universe) [Department: Haiti] 340001 Atlántida [Department: Honduras] 340002 Colón [Department: Honduras] 340003 Comayagua [Department: Honduras] 340004 Copán [Department: Honduras] 340005 Cortés [Department: Honduras] 340006 Choluteca [Department: Honduras] 340007 El Paraíso [Department: Honduras] 340008 Francisco Morazán [Department: Honduras] 340009 Gracias a Dios [Department: Honduras] 340010 Intibucá [Department: Honduras] 340011 Islas de la Bahía [Department: Honduras] 340012 La Paz [Department: Honduras] 340013 Lempira [Department: Honduras] 340014 Ocotepeque [Department: Honduras] 340015 Olancho [Department: Honduras] 340016 Santa Bárbara [Department: Honduras] 340017 Valle [Department: Honduras] 340018 Yoro [Department: Honduras] 340097 Abroad [Department: Honduras] 340098 Unknown [Department: Honduras] 340999 NIU (not in universe) [Department: Honduras] 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] 376001 Jerusalem [District: Israel] 376002 Northern [District: Israel] 376003 Haifa [District: Israel] 376004 Central [District: Israel] 376005 Tel-Aviv [District: Israel] 376006 Southern [District: Israel] 376071 Golan [District: Israel] 376072 Judea, Samaria and Gaza areas [District: Israel] 376098 Unknown [District: Israel] 376099 NIU (not in universe) [District: Israel] 458001 Johor [State: Malaysia] 458002 Kedah [State: Malaysia] 458003 Kelantan [State: Malaysia] 458004 Melaka [State: Malaysia] 458005 Negeri Sembilan [State: Malaysia] 458006 Pahang [State: Malaysia] 458007 Pulau Pinang [State: Malaysia] 458008 Perak [State: Malaysia] 458009 Perlis [State: Malaysia] 458010 Selangor, Kuala Lumpur Federal Territory [State: Malaysia] 458011 Terengganu [State: Malaysia] 458012 Sabah, Labuan Federal Territory [State: Malaysia] 458013 Sarawak [State: Malaysia] 458097 Other countries [State: Malaysia] 458098 Unknown [State: Malaysia] 480011 Port Louis [District: Mauritius] 480012 Pamplemousses [District: Mauritius] 480013 Rivière du Rempart [District: Mauritius] 480014 Flacq [District: Mauritius] 480015 Grand Port [District: Mauritius] 480016 Savanne [District: Mauritius] 480017 Plaines Wilhems [District: Mauritius] 480018 Moka [District: Mauritius] 480019 Black River [District: Mauritius] 480020 Rodrigues, Agaléga Islands, Saint Brandon [District: Mauritius] 480097 Abroad [District: Mauritius] 480098 Unknown [District: Mauritius] 480099 NIU [District: Mauritius] 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] 496001 Arkhangai [Province: Mongolia] 496002 Bayan-Olgii [Province: Mongolia] 496003 Bayankhongor [Province: Mongolia] 496004 Bulgan [Province: Mongolia] 496005 Govi-Altai [Province: Mongolia] 496006 Dornogovi, Govisumber [Province: Mongolia] 496007 Dornod [Province: Mongolia] 496008 Dundgovi [Province: Mongolia] 496009 Zavkhan [Province: Mongolia] 496010 Ovorkhangai [Province: Mongolia] 496011 Omnogovi [Province: Mongolia] 496012 Sukhbaatar [Province: Mongolia] 496013 Selenge [Province: Mongolia] 496014 Tov [Province: Mongolia] 496015 Uvs [Province: Mongolia] 496016 Khovd [Province: Mongolia] 496017 Khovsgol [Province: Mongolia] 496018 Khentii [Province: Mongolia] 496019 Darkhan-Uul [Province: Mongolia] 496020 Ulaanbaatar [Province: Mongolia] 496021 Orkhon [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496098 Unknown [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 508001 Niassa [Province: Mozambique] 508002 Cabo Delgado [Province: Mozambique] 508003 Nampula [Province: Mozambique] 508004 Zambézia [Province: Mozambique] 508005 Tete [Province: Mozambique] 508006 Manica [Province: Mozambique] 508007 Sofala [Province: Mozambique] 508008 Inhambane [Province: Mozambique] 508009 Gaza [Province: Mozambique] 508010 Maputo province [Province: Mozambique] 508011 Maputo city [Province: Mozambique] 508097 Foreign Country [Province: Mozambique][Province: Mozambique] 508098 Unknown [Province: Mozambique] 508099 NIU (not in universe) [Province: Mozambique] 524001 Mechi [Administrative Zone: Nepal] 524002 Koshi [Administrative Zone: Nepal] 524003 Sagarmatha [Administrative Zone: Nepal] 524004 Janakpur [Administrative Zone: Nepal] 524005 Bagmati [Administrative Zone: Nepal] 524006 Narayani [Administrative Zone: Nepal] 524007 Gandaki [Administrative Zone: Nepal] 524008 Dhawalagiri [Administrative Zone: Nepal] 524009 Lumbini [Administrative Zone: Nepal] 524010 Rapti [Administrative Zone: Nepal] 524011 Bheri [Administrative Zone: Nepal] 524012 Karnali [Administrative Zone: Nepal] 524013 Seti [Administrative Zone: Nepal] 524014 Mahakali [Administrative Zone: Nepal] 524097 Foreign Country [Administrative Zone: Nepal] 524098 Unknown [Administrative Zone: Nepal] 524099 NIU [Administrative Zone: Nepal] 558005 Nueva Segovia, Jinotega [Department: Nicaragua] 558020 Madriz [Department: Nicaragua] 558025 Estelí, León [Department: Nicaragua] 558030 Chinandega [Department: Nicaragua] 558040 Matagalpa, Atlantico Norte, Atlantico Sur, Zelaya [Department: Nicaragua] 558050 Boaco [Department: Nicaragua] 558055 Managua, Masaya [Department: Nicaragua] 558065 Chontales [Department: Nicaragua] 558070 Granada [Department: Nicaragua] 558075 Carazo [Department: Nicaragua] 558080 Rivas [Department: Nicaragua] 558085 Río San Juan [Department: Nicaragua] 558097 Abroad [Department: Nicaragua] 558098 Unknown [Department: Nicaragua] 558999 NIU (not in universe) [Department: Nicaragua] 598001 Western [Province: Papua New Guinea] 598002 Gulf [Province: Papua New Guinea] 598003 Central [Province: Papua New Guinea] 598004 National Capital District [Province: Papua New Guinea] 598005 Milne Bay [Province: Papua New Guinea] 598006 Northern [Province: Papua New Guinea] 598007 Southern Highlands, Hela [Province: Papua New Guinea] 598008 Enga [Province: Papua New Guinea] 598009 Western Highlands, Jiwaka [Province: Papua New Guinea] 598010 Chimbu [Province: Papua New Guinea] 598011 Eastern Highlands [Province: Papua New Guinea] 598012 Morobe [Province: Papua New Guinea] 598013 Madang [Province: Papua New Guinea] 598014 East Sepik [Province: Papua New Guinea] 598015 West Sepik [Province: Papua New Guinea] 598016 Manus [Province: Papua New Guinea] 598017 New Ireland [Province: Papua New Guinea] 598018 East New Britain [Province: Papua New Guinea] 598019 West New Britain [Province: Papua New Guinea] 598020 Autonomous Region of Bougainville [Province: Papua New Guinea] 598097 Foreign country [Province: Papua New Guinea] 598098 Unknown [Province: Papua New Guinea] 598099 NIU (not in universe) [Province: Papua New Guinea] 600001 Concepción [Department: Paraguay] 600002 San Pedro [Department: Paraguay] 600003 Cordillera [Department: Paraguay] 600004 Guaira [Department: Paraguay] 600005 Caaguazú, Canindeyú, Alto Paraná [Department: Paraguay] 600006 Caazapá [Department: Paraguay] 600007 Itapúa [Department: Paraguay] 600008 Misiones, Ñeembucú [Department: Paraguay] 600009 Paraguarí [Department: Paraguay] 600011 Central [Department: Paraguay] 600013 Amambay [Department: Paraguay] 600015 Alto Paraguay, Boquerón, Presidente Hayes [Department: Paraguay] 600019 Asunción [Department: Paraguay] 600097 Foreign Country [Department: Paraguay] 600098 Unknown [Department: Paraguay] 600999 NIU (not in universe) [Department: Paraguay] 604001 Amazonas [Department: Peru] 604002 Ancash [Department: Peru] 604003 Apurímac [Department: Peru] 604004 Arequipa [Department: Peru] 604005 Ayacucho [Department: Peru] 604006 Cajamarca [Department: Peru] 604007 Callao [Department: Peru] 604008 Cusco [Department: Peru] 604009 Huancavelica [Department: Peru] 604010 Huánuco [Department: Peru] 604011 Ica [Department: Peru] 604012 Junín [Department: Peru] 604013 La Libertad [Department: Peru] 604014 Lambayeque [Department: Peru] 604015 Lima [Department: Peru] 604016 Loreto [Department: Peru] 604017 Madre de Dios [Department: Peru] 604018 Moquegua [Department: Peru] 604019 Pasco [Department: Peru] 604020 Piura [Department: Peru] 604021 Puno [Department: Peru] 604022 San Martín [Department: Peru] 604023 Tacna [Department: Peru] 604024 Tumbes [Department: Peru] 604025 Ucayali [Department: Peru] 604097 Abroad [Department: Peru] 604099 NIU (not in universe) [Department: Peru] 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] 620111 Minho-Lima [Subregion (NUTS-3): Portugal] 620112 Cávado [Subregion (NUTS-3): Portugal] 620113 Ave [Subregion (NUTS-3): Portugal] 620114 Grande Porto [Subregion (NUTS-3): Portugal] 620115 Tâmega [Subregion (NUTS-3): Portugal] 620116 Entre Douro e Vouga [Subregion (NUTS-3): Portugal] 620117 Douro [Subregion (NUTS-3): Portugal] 620118 Alto Trás-os-Montes [Subregion (NUTS-3): Portugal] 620150 Algarve [Subregion (NUTS-3): Portugal] 620161 Baixo Vouga [Subregion (NUTS-3): Portugal] 620162 Baixo Mondego [Subregion (NUTS-3): Portugal] 620163 Pinhal Litoral [Subregion (NUTS-3): Portugal] 620165 Dão-Lafões [Subregion (NUTS-3): Portugal] 620166 Oeste [Subregion (NUTS-3): Portugal] 620167 Médio Tejo [Subregion (NUTS-3): Portugal] 620169 Other Center [Subregion (NUTS-3): Portugal] 620171 Grande Lisboa [Subregion (NUTS-3): Portugal] 620172 Península de Setúbal [Subregion (NUTS-3): Portugal] 620185 Lezíria do Tejo [Subregion (NUTS-3): Portugal] 620189 Other Alentejo [Subregion (NUTS-3): Portugal] 620200 Região Autónoma dos Açores [Subregion (NUTS-3): Portugal] 620300 Região Autónoma da Madeira [Subregion (NUTS-3): Portugal] 620998 Foreign country [Subregion (NUTS-3): Portugal] 620999 NIU (not in universe) [Subregion (NUTS-3): Portugal] 686001 Dakar [Region: Senegal] 686002 Ziguinchor [Region: Senegal] 686003 Diourbel [Region: Senegal] 686004 Saint Louis, Louga, Matam [Region: Senegal] 686005 Tambacounda, Kedougou [Region: Senegal] 686006 Kaolack, Fatick, Kaffrine [Region: Senegal] 686007 Thiès [Region: Senegal] 686010 Kolda, Sedhiou [Region: Senegal] 686097 Abroad [Region: Senegal] 686098 Unknown [Region: Senegal] 686099 NIU (not in universe) [Region: Senegal] 694011 Kailahun [District: Sierra Leone] 694012 Kenema [District: Sierra Leone] 694013 Kono [District: Sierra Leone] 694021 Bombali [District: Sierra Leone] 694022 Kambia [District: Sierra Leone] 694023 Koinadugu [District: Sierra Leone] 694024 Port Loko [District: Sierra Leone] 694025 Tonkolili [District: Sierra Leone] 694031 Bo [District: Sierra Leone] 694032 Bonthe [District: Sierra Leone] 694033 Moyamba [District: Sierra Leone] 694034 Pujehun [District: Sierra Leone] 694041 Western Rural [District: Sierra Leone] 694042 Western Urban [District: Sierra Leone] 694097 Abroad [District: Sierra Leone] 694098 Unknown [District: Sierra Leone] 694099 NIU [District: Sierra Leone] 704001 Th nh Phố H Nội, Vĩnh Phúc, Ho Bình, Phú Thọ [Province: Vietnam] 704002 H Giang, Tuyên Quang [Province: Vietnam] 704003 Cao Bằng, Bắc Kạn, Thái Nguyên [Province: Vietnam] 704010 L o Cai, Điện Biên, Lai Châu, Yên Bái [Province: Vietnam] 704014 Sơn La [Province: Vietnam] 704020 Lạng Sơn [Province: Vietnam] 704022 Quảng Ninh [Province: Vietnam] 704024 Bắc Giang, Bắc Ninh [Province: Vietnam] 704030 Hải Dương, Hưng Yên [Province: Vietnam] 704031 Th nh Phố Hải Phòng [Province: Vietnam] 704034 Thái Bình [Province: Vietnam] 704035 H Nam, Nam Định, Ninh Bình [Province: Vietnam] 704038 Thanh Hoá [Province: Vietnam] 704040 Nghệ An, H Tĩnh [Province: Vietnam] 704044 Quảng Bình [Province: Vietnam] 704045 Quảng Trị [Province: Vietnam] 704046 Thừa Thiên Huế [Province: Vietnam] 704048 Th nh Phố Đ Nẵng, Quảng Nam [Province: Vietnam] 704051 Quảng Ngãi [Province: Vietnam] 704052 Bình Định [Province: Vietnam] 704054 Phú Yên [Province: Vietnam] 704056 Khánh Ho [Province: Vietnam] 704058 Ninh Thuận, Bình Thuận [Province: Vietnam] 704062 Kon Tum, Gia Lai [Province: Vietnam] 704066 Đắk Lắk, Đắk Nông [Province: Vietnam] 704068 Lâm Đồng [Province: Vietnam] 704070 Bình Phước, Bình Dương [Province: Vietnam] 704072 Tây Ninh [Province: Vietnam] 704075 Đồng Nai, B Rịa - Vũng T u [Province: Vietnam] 704079 Th nh Phố Hồ Chí Minh [Province: Vietnam] 704080 Long An [Province: Vietnam] 704082 Tiền Giang [Province: Vietnam] 704083 Bến Tre [Province: Vietnam] 704084 Tr Vinh, Vĩnh Long [Province: Vietnam] 704087 Đồng Tháp [Province: Vietnam] 704089 An Giang [Province: Vietnam] 704091 Kiên Giang [Province: Vietnam] 704092 Th nh Phố Cần Thơ, Hậu Giang, Sóc Trăng [Province: Vietnam] 704095 Bạc Liêu, C Mau [Province: Vietnam] 704097 Foreign Country [Province: Vietnam] 704098 Unknown [Province: Vietnam] 704099 NIU [Province: Vietnam] 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 Foreign country [Communities & autonomous city: Spain] 724999 NIU [Communities & autonomous city: Spain] 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] 780099 NIU (not in universe) [Region: Trinidad and Tobago] 840001 Alabama [State: United States] 840002 Alaska [State: United States] 840004 Arizona [State: United States] 840005 Arkansas [State: United States] 840006 California [State: United States] 840008 Colorado [State: United States] 840009 Connecticut [State: United States] 840010 Delaware [State: United States] 840011 District of Columbia [State: United States] 840012 Florida [State: United States] 840013 Georgia [State: United States] 840015 Hawaii [State: United States] 840016 Idaho [State: United States] 840017 Illinois [State: United States] 840018 Indiana [State: United States] 840019 Iowa [State: United States] 840020 Kansas [State: United States] 840021 Kentucky [State: United States] 840022 Louisiana [State: United States] 840023 Maine [State: United States] 840024 Maryland [State: United States] 840025 Massachusetts [State: United States] 840026 Michigan [State: United States] 840027 Minnesota [State: United States] 840028 Mississippi [State: United States] 840029 Missouri [State: United States] 840030 Montana [State: United States] 840031 Nebraska [State: United States] 840032 Nevada [State: United States] 840033 New Hampshire [State: United States] 840034 New Jersey [State: United States] 840035 New Mexico [State: United States] 840036 New York [State: United States] 840037 North Carolina [State: United States] 840038 North Dakota [State: United States] 840039 Ohio [State: United States] 840040 Oklahoma [State: United States] 840041 Oregon [State: United States] 840042 Pennsylvania [State: United States] 840044 Rhode Island [State: United States] 840045 South Carolina [State: United States] 840046 South Dakota [State: United States] 840047 Tennessee [State: United States] 840048 Texas [State: United States] 840049 Utah [State: United States] 840050 Vermont [State: United States] 840051 Virginia [State: United States] 840053 Washington [State: United States] 840054 West Virginia [State: United States] 840055 Wisconsin [State: United States] 840056 Wyoming [State: United States] 840097 Abroad [State: United States] 840098 Unknown [State: United States] 840999 NIU (not in universe) [State: United States] 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 Department of residence 5 years ago, Bolivia; consistent boundaries, GIS MIG1_5_BO indicates the person's department of residence five years ago in Bolivia. 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. 068001 Chuquisaca 068002 La Paz 068003 Cochabamba 068004 Oruro 068005 Potosí 068006 Tarija 068007 Santa Cruz 068008 Beni 068009 Pando 068096 Bolivia, province unknown 068097 Foreign country 068098 Unknown 068099 NIU (not in universe) Migration: A-E Variables -- PERSON Province of residence 5 years ago, Bolivia; consistent boundaries, GIS MIG2_5_BO indicates the person's province of residence five years ago in Bolivia. Migration province codes in MIG2_5_BO are compatible with codes in GEO2_BO. 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. 068001001 Oropeza 068001002 Nor Cinti 068001003 Tomina, Belisario Boeto 068001004 Zudañez 068001005 Hernando Siles 068001006 Yamparaez 068001007 Sud Cinti 068001008 Azurduy 068001009 Luis Calvo 068001999 Chuquisaca department, unknown 068002001 Murillo 068002002 Ingavi 068002003 Aroma, Gualberto Villarroel 068002004 Sud Yungas 068002005 Nor Yungas, Caranavi 068002006 Larecaja 068002007 Omasuyos 068002008 Los Andes 068002009 Inquisivi 068002010 Pacajes, José Manuel Pando 068002011 Franz Tamayo, Abel Iturralde, Bautista Saavedra 068002012 Camacho 068002013 Loayza 068002014 Manco Kapac 068002015 Muñecas 068002999 La Paz department, unknown 068003001 Cercado 068003002 Quillacollo 068003003 Chapare 068003004 Carrasco 068003005 Arani, Tiraque 068003006 Ayopaya 068003007 Punata 068003008 Esteban Arce 068003009 Mizque 068003010 Campero 068003011 German Jordán 068003012 Capinota 068003013 Arque, Bolívar 068003014 Tapacarí 068003999 Cochabamba department, unknown 068004001 Cercado, Tomas Barron 068004002 Poopó, Abaroa, Sebastián Pagador 068004003 Carangas, Litoral, Saucari, Sur Carangas, Nor Carangas 068004004 Sajama, Ladislao Cabrera, Sabaya, San Pedro de Totora, Mejillones 068004005 Pantaleon Dalence 068004999 Oruro department, uknown 068005001 Tomas Frias 068005002 Chayanta 068005003 Rafael Bustillo 068005004 Cornelio Saavedra 068005005 Sur Chichas 068005006 Antonio Quijarro 068005007 Charcas, Bernardino Bilbao Rioja 068005008 Jose Maria Linares 068005009 Modesto Omiste 068005010 Nor Chichas 068005011 Alonso de Ibañez 068005012 Nor Lípez, Sur Lípez, Daniel Campos, Enrique Baldivieso 068005999 Potosi department, unknown 068006001 Cercado 068006002 Gran Chaco 068006003 Aniceto Arce, Aviles 068006004 Méndez 068006005 Burnet Oconnor 068006999 Tarija department, unknown 068007001 Andrés Ibañez 068007002 Obispo Santiestevan 068007003 Ñuflo de Chávez, Guarayos 068007004 Chiquitos, German Busch 068007005 Cordillera 068007006 Warnes 068007007 Ichilo 068007008 Velasco, Angel Sandoval 068007009 Sara 068007010 Florida 068007011 Vallegrande 068007012 Manuel Maria Caballero 068007999 Santa Cruz department, unknown 068008001 Vaca Diez 068008002 Cercado 068008003 José Ballivián 068008004 Yacuma, Mamore 068008005 Moxos, Marban 068008006 Itenez 068008999 Beni department, unknown 068009001 Nicolás Suárez 068009002 Manuripi, Abuna, Federico Román, Madre de Dios 068009999 Pando department, unknown 068997997 Foreign Country 068998998 Unknown 068999999 NIU (not in universe) Migration: A-E Variables -- PERSON Person number (within household) Bolivia 2012: All records This variable indicates the person number within the household. 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Relationship with the head <span class="h3">F1. For all people</span></p> <p>23. What is your familial or other relationship with the head of household?</p> <div class="i1">[] 1 Head of household<br />[] 2 Spouse, domestic partner, or cohabiting partner<br />[] 3 Daughter or son<br />[] 4 Daughter-in-law or son-in-law<br />[] 5 Granddaughter or grandson<br />[] 6 Sibling, brother-in-law, or sister-in-law<br />[] 7 Parent, mother-in-law, or father-in-law<br />[] 8 Other relative<br />[] 9 Domestic worker<br />[] 10 Other nonrelative<br />[] 11 Person in a collective dwelling</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p>Person number: In private dwellings, you should number the people consecutively starting with the head of household and ending with the last person present in the dwelling. In collective dwellings, the first position and the number 1 may be assigned to any member of the collective household. The same applies to people with no dwelling.</p> <p>Person's name. In this space, write the person's given name. The last name is not needed. The person's name is there only to facilitate the data collection.</p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">23. Familial or other relationship</span><div class="i1"><span class="em">In private dwellings:</span><br />To collect information about the familial or other relationship within a private household, it is first necessary to identify the person who is the head of household and then the other members of the household. The head of household is the person recognized as such by the other household members, regardless of the person's sex, age, or income. <br />For technical reasons, each private household must have a head of household. <br />The question about familial or other relationship refers the relationship between each member of the household and the head of household. The answer should be noted down as follows: <br />Ask who is the head of household, note down code 1 (head of household) and begin the interview with this person. Then proceed likewise with each person present at the time of the census, following as closely as possible the order of the different familial and other relationships.<br /><br /><span class="em">In collective dwellings and in the case of people with no dwelling:</span><br />In these cases, mark the relationship with code 11. Then interview the first person, then the second, and so on to the last person. In these cases, no head of household is identified and the people can therefore be counted in any order.</div> Bolivia 2012: All persons This variable indicates the person's relationship to the head of the household. 01 Head of household 02 Spouse, domestic partner, or cohabiting partner 03 Daughter or son 04 Daughter-in-law or son-in-law 05 Granddaughter or grandson 06 Sibling, brother-in-law, or sister-in-law 07 Parent, mother-in-law, or father-in-law 08 Other relative 09 Domestic worker 10 Other nonrelative 11 Person in a collective dwelling Demographic Variables -- PERSON Sex <span class="h3">F1. For all people</span></p> <p>24. Are you female or male?</p> <div class="i1">[] 1 Female<br />[] 2 Male</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">24. Sex</span> <br />On the census form, you must note whether the person interviewed is male or female. Mark the appropriate circle or bubble. Bolivia 2012: All persons This variable indicates the person's sex. 1 Female 2 Male Demographic Variables -- PERSON Age <span class="h3">F1. For all people</span></p> <p>25. How old were you on your last birthday? _ _ _ [If under age 1, write 0] <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">25. Age</span> <br />Age information is obtained by directly asking how old the person was at their last birthday. For people under age 1, write 0. Bolivia 2012: All persons This variable indicates the person's age. 00 Less than 1 year 01 1 year 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 96 96 97 97 98 98+ years Demographic Variables -- PERSON Birth recorded in the civil registry or office of vital records <span class="h3">F1. For all people</span></p> <p>26. Was your birth recorded in the civil registry or office of vital records?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">26. Registry of birth in the civil registry or office of vital records</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: All persons This variable indicates whether the person's birth is recorded in the civil registry or office of vital records. 1 Yes 2 No 9 Unknown Demographic Variables -- PERSON National identity card or document <span class="h3">F1. For all people</span></p> <p>27. Do you have a national identity card or document?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">27. Possession of an identity document</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: All persons This variable indicates whether the person has a national identity card or document. 1 Yes 2 No Other Person Variables -- PERSON Resource for health problems: public health fund (CNS, COSSMIL, etc.) <span class="h3">F1. For all people</span></p> <p>28. When you have health problems, do you rely on...</p> <div class="i1">A public health fund (CNS, COSSMIL, etc.)?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">28. Source of health care</span> <br />Mark the circle or bubble for where the interviewee turns when health problems arise. Bolivia 2012: All persons This variable indicates whether the person uses a public health fund (CNS, COSSMIL, etc.) as a resource for health problems. 1 Yes 2 No Other Person Variables -- PERSON Resource for health problems: private health insurance <span class="h3">F1. For all people</span></p> <p>28. When you have health problems, do you rely on...</p> <div class="i1">Private health insurance?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">28. Source of health care</span> <br />Mark the circle or bubble for where the interviewee turns when health problems arise. Bolivia 2012: All persons This variable indicates whether the person uses private health insurance as a resource for health problems. 1 Yes 2 No Other Person Variables -- PERSON Resource for health problems: public health facility <span class="h3">F1. For all people</span></p> <p>28. When you have health problems, do you rely on...</p> <div class="i1">A public health facility?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">28. Source of health care</span> <br />Mark the circle or bubble for where the interviewee turns when health problems arise. Bolivia 2012: All persons This variable indicates whether the person uses a public health facility as a resource for health problems. 1 Yes 2 No Other Person Variables -- PERSON Resource for health problems: private health facility <span class="h3">F1. For all people</span></p> <p>28. When you have health problems, do you rely on...</p> <div class="i1">A private health facility?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">28. Source of health care</span> <br />Mark the circle or bubble for where the interviewee turns when health problems arise. Bolivia 2012: All persons This variable indicates whether the person uses a private health facility as a resource for health problems. 1 Yes 2 No Other Person Variables -- PERSON Resource for health problems: traditional healer <span class="h3">F1. For all people</span></p> <p>28. When you have health problems, do you rely on...</p> <div class="i1">Traditional healer?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">28. Source of health care</span> <br />Mark the circle or bubble for where the interviewee turns when health problems arise. Bolivia 2012: All persons This variable indicates whether the person uses a traditional healer as a resource for health problems. 1 Yes 2 No Other Person Variables -- PERSON Resource for health problems: home remedies <span class="h3">F1. For all people</span></p> <p>28. When you have health problems, do you rely on...</p> <div class="i1">Home remedies?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">28. Source of health care</span> <br />Mark the circle or bubble for where the interviewee turns when health problems arise. Bolivia 2012: All persons This variable indicates whether the person uses home remedies as a resource for health problems. 1 Yes 2 No Other Person Variables -- PERSON Resource for health problems: pharmacy or self-medication <span class="h3">F1. For all people</span></p> <p>28. When you have health problems, do you rely on...</p> <div class="i1">The pharmacy or self-medication?</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">28. Source of health care</span> <br />Mark the circle or bubble for where the interviewee turns when health problems arise. Bolivia 2012: All persons This variable indicates whether the person uses a pharmacy or self-medication as a resource for health problems. 1 Yes 2 No Other Person Variables -- PERSON Afro-Bolivian or indigenous nation or people <span class="h3">F1. For all people</span></p> <p>29. If you are Bolivian, are you part of an Afro-Bolivian or original peasant indigenous nation or people?</p> <div class="i1">[] 1 Yes<br />Which nation or people? ____</div><div class="i2">[Census taker: Do not read the response options]<br />Afroboliviano, Araona, Aymara, Ayoreo, Baure, Canichana, Cavineño, Cayubaba, Chácobo, Chipaya, Chiquitano, Esse Ejja, Guaraní, Guarasugwe, Guarayo, Itonama, Joaquiniano, Kallawaya, Leco, Machinerí, Maropa, Mojeño, Moré, Mosetén, Movima, Murato, Pacahuara, Quechua, Sirionó, Tacana, Tapiete, Tsimane/Chiman, Urus, Weenayek, Yaminagua, Yampara, Yuki, Yuracaré, Yuracaré - Mojeño</div><div class="i1">[] 2 Does not belong to any<br />[] 3 I am not Bolivian</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">29. Belonging to an Afro-Bolivian or original peasant indigenous nation or people</span> <br />The first part of the question acts as a ''filter'' to determine whether a Bolivian belongs to an Afro-Bolivian or original peasant indigenous nation or people. <br />If the answer is yes, ask, which one? Write the letter in the boxes, putting one capital letter in each box. Wait for the person to answer. The options listed on the census form are provided as a spelling reference. If the answer is no, note down one of these options (i) Does not belong to any, for Bolivians, or (ii) I am not Bolivian, for foreign people. Bolivia 2012: All persons This variable indicates whether the person belongs to an Afro-Bolivian or indigenous nation or people. 1 Yes 2 No, does not belong to any 3 Not Bolivian 9 Unknown Ethnicity and Language Variables -- PERSON Indigenous nation or people <span class="h3">F1. For all people</span></p> <p>29. If you are Bolivian, are you part of an Afro-Bolivian or original peasant indigenous nation or people?</p> <div class="i1">[] 1 Yes<br />Which nation or people? ____</div><div class="i2">[Census taker: Do not read the response options]<br />Afroboliviano, Araona, Aymara, Ayoreo, Baure, Canichana, Cavineño, Cayubaba, Chácobo, Chipaya, Chiquitano, Esse Ejja, Guaraní, Guarasugwe, Guarayo, Itonama, Joaquiniano, Kallawaya, Leco, Machinerí, Maropa, Mojeño, Moré, Mosetén, Movima, Murato, Pacahuara, Quechua, Sirionó, Tacana, Tapiete, Tsimane/Chiman, Urus, Weenayek, Yaminagua, Yampara, Yuki, Yuracaré, Yuracaré - Mojeño</div><div class="i1">[] 2 Does not belong to any<br />[] 3 I am not Bolivian</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">29. Belonging to an Afro-Bolivian or original peasant indigenous nation or people</span> <br />The first part of the question acts as a ''filter'' to determine whether a Bolivian belongs to an Afro-Bolivian or original peasant indigenous nation or people. <br />If the answer is yes, ask, which one? Write the letter in the boxes, putting one capital letter in each box. Wait for the person to answer. The options listed on the census form are provided as a spelling reference. If the answer is no, note down one of these options (i) Does not belong to any, for Bolivians, or (ii) I am not Bolivian, for foreign people. Bolivia 2012: Persons who belong to an indigenous nation or people [discrepancies: type I 0.3%; type II 5.6%] This variable indicates the indigenous nation or people to which the person belongs. 001 Aymara 002 Quechua 003 Afroboliviano 005 Ayoreo 006 Baure 007 Canichana 008 Cavineño 009 Cayubaba 010 Chacobo 011 Chiquitano 012 Bésiro 013 Uru Chipayas 014 Esse Ejja 016 Guarayo 017 Guarani 018 Itonoma 019 Joaquiniano 020 Kallawaya 021 Leco 023 Maropa 025 Mojeño 026 Ignaciano 029 Trinitario 031 Mosetén 032 Movima 033 Murato 035 Urus 036 Pacahuara 037 Sirionó 038 Tacana 040 Tsimane Chiman 041 Weenayek 042 Yaminahua 044 Yuracaré 045 Yuracaré-Mojeño 048 Aroma 062 Chayanta 063 Chichas 064 Chiriguano 068 Coroma 074 Jach'a Pacajaqui 075 Jacha Carangas 080 Larecaja 082 Lipez 085 Monkox 094 Pukina 095 Qhapaq Uma Suyu 096 Qhara Qhara 097 Qollas 099 Quillacas 104 Suyu Chuwi 105 Suyu Sura 113 Yampara 115 Originary 116 Intercultural 117 Peasant [Campesino] 118 Indigenous 119 Indigenous or original, not specified 997 Other indigenous nation or people 998 Unknown 999 NIU (not in universe) Ethnicity and Language Variables -- PERSON First language learned as a child <span class="h3">F1. For all people</span></p> <p>30. What is the first language you learned to speak as a child?</p> <div class="i1">1. ____<br />[] 2 Does not speak [Go to question 32]</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">30. Native language</span> <br />Native language refers to the language the person learned to speak in childhood. This is an open-ended question and the answer should be written in the appropriate boxes, letter by letter. If the person does not yet speak or cannot speak, mark 2 and go to question 32. Bolivia 2012: Persons who speak a language [discrepancies: none] This variable indicates the first language the person learned to speak as a child. 01 Araona 02 Aymara 04 Bésiro 05 Canichana 06 Spanish 07 Cavineño 08 Cayubaba 09 Chácobo 10 Chimán 11 Ese Ejja 12 Guaraní 13 Guarasuawe 14 Guarayu 15 Itonama 16 Leco 17 Machajuyai-Kallawaya 20 Mojeño-Ignaciano 21 Mojeño-Trinitario 23 Mosetén 24 Movima 27 Quechua 29 Tacana 32 Uruchipaya 33 Weenhayek 36 Yuracaré 37 Zamuco 39 Other national language 41 German 44 Catalan 45 Chinese 46 Korean 51 French 52 Dutch 54 English 55 Italian 56 Japanese 58 Portuguese 60 Russian 62 Swedish 97 Other foreign language 98 Unknown 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON First language spoken <span class="h3">F1. For all people</span></p> <p>30. What is the first language you learned to speak as a child?</p> <div class="i1">1. ____<br />[] 2 Does not speak [Go to question 32]</div><p>31. What language do you speak? </p> <div class="i1">(Write in order of importance)<br /><br />1 ____<br />2 ____<br />3 ____<br />4 ____<br />5 ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">31. Languages spoken</span> <br />On the census form, the question about languages spoken is an open-ended question and may have more than one answer. We recommend waiting for the person to state their answer or answers. If there are two or more languages spoken, write the answers in order of importance. Bolivia 2012: Persons who speak a language [discrepancies: none] This variable indicates the primary language spoken by the person. 02 Aymara 04 Bésiro 06 Spanish 07 Cavineño 09 Chácobo 10 Chimán 11 Ese Ejja 12 Guaraní 14 Guarayu 20 Mojeño-Ignaciano 21 Mojeño-Trinitario 23 Mosetén 24 Movima 27 Quechua 29 Tacana 32 Uruchipaya 33 Weenhayek 36 Yuracaré 37 Zamuco 39 Other national language 41 German 44 Catalan 45 Chinese 46 Korean 51 French 52 Dutch 54 English 55 Italian 56 Japanese 58 Portuguese 60 Russian 62 Swedish 97 Other foreign language 98 Unknown 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON Second language spoken <span class="h3">F1. For all people</span></p> <p>30. What is the first language you learned to speak as a child?</p> <div class="i1">1. ____<br />[] 2 Does not speak [Go to question 32]</div><p>31. What language do you speak? </p> <div class="i1">(Write in order of importance)<br /><br />1 ____<br />2 ____<br />3 ____<br />4 ____<br />5 ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">31. Languages spoken</span> <br />On the census form, the question about languages spoken is an open-ended question and may have more than one answer. We recommend waiting for the person to state their answer or answers. If there are two or more languages spoken, write the answers in order of importance. Bolivia 2012: Persons who speak a language [discrepancies: type I none; type II 59.1%] This variable indicates the second language spoken by the person. 02 Aymara 04 Bésiro 06 Spanish 07 Cavineño 10 Chimán 12 Guaraní 14 Guarayu 20 Mojeño-Ignaciano 21 Mojeño-Trinitario 23 Mosetén 24 Movima 27 Quechua 29 Tacana 36 Yuracaré 39 Other national language 41 German 44 Catalan 45 Chinese 46 Korean 51 French 54 English 55 Italian 56 Japanese 58 Portuguese 60 Russian 62 Swedish 97 Other foreign language 98 Unknown or no second language declared 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON Third language spoken <span class="h3">F1. For all people</span></p> <p>30. What is the first language you learned to speak as a child?</p> <div class="i1">1. ____<br />[] 2 Does not speak [Go to question 32]</div><p>31. What language do you speak? </p> <div class="i1">(Write in order of importance)<br /><br />1 ____<br />2 ____<br />3 ____<br />4 ____<br />5 ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">31. Languages spoken</span> <br />On the census form, the question about languages spoken is an open-ended question and may have more than one answer. We recommend waiting for the person to state their answer or answers. If there are two or more languages spoken, write the answers in order of importance. Bolivia 2012: Persons who speak a language [discrepancies: type I none; type II 92.8%] This variable indicates the third language spoken by the person. 02 Aymara 06 Spanish 12 Guaraní 27 Quechua 39 Other national language 41 German 44 Catalan 45 Chinese 51 French 54 English 55 Italian 56 Japanese 58 Portuguese 60 Russian 62 Swedish 97 Other foreign language 98 Unknown or no third language declared 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON Fourth language spoken <span class="h3">F1. For all people</span></p> <p>30. What is the first language you learned to speak as a child?</p> <div class="i1">1. ____<br />[] 2 Does not speak [Go to question 32]</div><p>31. What language do you speak? </p> <div class="i1">(Write in order of importance)<br /><br />1 ____<br />2 ____<br />3 ____<br />4 ____<br />5 ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">31. Languages spoken</span> <br />On the census form, the question about languages spoken is an open-ended question and may have more than one answer. We recommend waiting for the person to state their answer or answers. If there are two or more languages spoken, write the answers in order of importance. Bolivia 2012: Persons who speak a language [discrepancies: type I none; type II 95.8%%] This variable indicates the fourth language spoken by the person. 02 Aymara 06 Spanish 12 Guaraní 27 Quechua 39 Other national language 41 German 51 French 54 English 55 Italian 56 Japanese 58 Portuguese 97 Other foreign language 98 Unknown or no fourth language declared 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON Fifth language spoken <span class="h3">F1. For all people</span></p> <p>30. What is the first language you learned to speak as a child?</p> <div class="i1">1. ____<br />[] 2 Does not speak [Go to question 32]</div><p>31. What language do you speak? </p> <div class="i1">(Write in order of importance)<br /><br />1 ____<br />2 ____<br />3 ____<br />4 ____<br />5 ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">31. Languages spoken</span> <br />On the census form, the question about languages spoken is an open-ended question and may have more than one answer. We recommend waiting for the person to state their answer or answers. If there are two or more languages spoken, write the answers in order of importance. Bolivia 2012: Persons who speak a language [discrepancies: type I none; type II 96.0%%] This variable indicates the fifth language spoken by the person. 02 Aymara 06 Spanish 27 Quechua 39 Other national language 51 French 54 English 55 Italian 58 Portuguese 97 Other foreign language 98 Unknown or no fifth language declared 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON Birthplace <span class="h3">F1. For all people</span></p> <p>32. Where were you born?</p> <div class="i1">[] 1 Here [Go to question 33]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____<br />Year of arrival in Bolivia _ _ _ _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">32. Place of birth</span> <br />The question about place of birth has the following multiple-choice options:</p> <div class="i1">- Here. If the place of birth is in the place where the census interview is occurring.<br />- Elsewhere in this country. If the place of birth is in this country but not the same as the place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person was born.<br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the country of birth and the year of arrival in Bolivia.</div> Bolivia 2012: All persons This variable indicates the person's birthplace. 1 Here (location where enumerated) 2 Elsewhere in this country 3 Abroad Nativity and Birthplace Variables -- PERSON Year of arrival in Bolivia <span class="h3">F1. For all people</span></p> <p>32. Where were you born?</p> <div class="i1">[] 1 Here [Go to question 33]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____<br />Year of arrival in Bolivia _ _ _ _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">Internal migration and international immigration</span> <br />Internal migration refers to people's migratory movements within the country's borders. International immigration refers to immigration from other countries to Bolivia. Bolivia 2012: Persons who were born abroad [discrepancies: none] This variable indicates the person's year of arrival in Bolivia. 1966 1966 or earlier 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 9998 Unknown 9999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Department of birth <span class="h3">F1. For all people</span></p> <p>32. Where were you born?</p> <div class="i1">[] 1 Here [Go to question 33]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____<br />Year of arrival in Bolivia _ _ _ _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">Internal migration and international immigration</span> <br />Internal migration refers to people's migratory movements within the country's borders. International immigration refers to immigration from other countries to Bolivia. Bolivia 2012: Persons born in Bolivia [discrepancies: none] This variable indicates the person's department of birth. 01 Chuquisaca 02 La Paz 03 Cochabamba 04 Oruro 05 Potosi 06 Tarija 07 Santa Cruz 08 Beni 09 Pando 99 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Province of birth <span class="h3">F1. For all people</span></p> <p>32. Where were you born?</p> <div class="i1">[] 1 Here [Go to question 33]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____<br />Year of arrival in Bolivia _ _ _ _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">Internal migration and international immigration</span> <br />Internal migration refers to people's migratory movements within the country's borders. International immigration refers to immigration from other countries to Bolivia. Bolivia 2012: Persons born in Bolivia [discrepancies: none] This variable indicates the person's province of birth. 0101 Oropeza 0102 Azurduy 0103 Zudañez 0104 Tomina 0105 Hernando Siles 0106 Yamparaez 0107 Nor Cinti 0108 Belisario Boeto 0109 Sud Cinti 0110 Luis Calvo 0199 Chuquisaca department, unknown province 0201 Murillo 0202 Omasuyos 0203 Pacajes 0204 Camacho 0205 Muñecas 0206 Larecaja 0207 Franz Tamayo 0208 Ingavi 0209 Loayza 0210 Inquisivi 0211 Sud Yungas 0212 Los Andes 0213 Aroma 0214 Nor Yungas 0215 Abel Iturralde 0216 Bautista Saavedra 0217 Manco Kapac 0218 Gualberto Villarroel 0219 José Manuel Pando 0220 Caranavi 0299 La Paz department, unknown province 0301 Cercado 0302 Campero 0303 Ayopaya 0304 Esteban Arce 0305 Arani 0306 Arque 0307 Capinota 0308 German Jordán 0309 Quillacollo 0310 Chapare 0311 Tapacarí 0312 Carrasco 0313 Mizque 0314 Punata 0315 Bolívar 0316 Tiraque 0399 Cochabamba department, unknown province 0401 Cercado 0402 Abaroa 0403 Carangas 0404 Sajama 0405 Litoral 0406 Poopo 0407 Pantaleon Dalence 0408 Ladislao Cabrera 0409 Sabaya 0410 Saucari 0411 Tomas Barron 0412 Sur Carangas 0413 San Pedro de Totora 0414 Sebastián Pagador 0415 Mejillones 0416 Nor Carangas 0499 Oruro department, unknown province 0501 Tomas Frias 0502 Rafael Bustillo 0503 Cornelio Saavedra 0504 Chayanta 0505 Charcas 0506 Nor Chichas 0507 Alonso de Ibañez 0508 Sur Chichas 0509 Nor Lípez 0510 Sur Lípez 0511 José Maria Linares 0512 Antonio Quijarro 0513 Bernardino Bilbao Rioja 0514 Daniel Campos 0515 Modesto Omiste 0516 Enrique Baldivieso 0599 Potosi department, unknown province 0601 Cercado 0602 Aniceto Arce 0603 Gran Chaco 0604 Aviles 0605 Méndez 0606 Burnet Oconnor 0699 Tarija department, unknown province 0701 Andrés Ibañez 0702 Warnes 0703 Velasco 0704 Ichilo 0705 Chiquitos 0706 Sara 0707 Cordillera 0708 Vallegrande 0709 Florida 0710 Obispo Santiestevan 0711 Ñuflo de Chávez 0712 Angel Sandoval 0713 Manuel Maria Caballero 0714 German Busch 0715 Guarayos 0799 Santa Cruz department, unknown province 0801 Cercado 0802 Vaca Diez 0803 José Ballivián 0804 Yacuma 0805 Moxos 0806 Marban 0807 Mamore 0808 Itenez 0899 Beni department, unknown province 0901 Nicolás Suárez 0902 Manuripi 0903 Madre de Dios 0904 Abuna 0905 Federico Román 0999 Pando department, unknown province 9999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Municipality of birth <span class="h3">F1. For all people</span></p> <p>32. Where were you born?</p> <div class="i1">[] 1 Here [Go to question 33]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____<br />Year of arrival in Bolivia _ _ _ _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">Internal migration and international immigration</span> <br />Internal migration refers to people's migratory movements within the country's borders. International immigration refers to immigration from other countries to Bolivia. Bolivia 2012: Persons born in Bolivia [discrepancies: none] This variable indicates the person's municipality of birth. 010101 Sucre 010102 Yotala 010103 Poroma 010199 Oropeza 010201 Azurduy 010202 Tarvita 010299 Azurduy province, unknown municipality 010301 Zudañez 010302 Presto 010303 Mojocoya 010304 Icla 010399 Zudañez province, unknown municipality 010401 Padilla 010402 Tomina 010403 Sopachuy 010404 Villa Alcalá 010405 El Villar 010499 Tomina province, unknown municipality 010501 Monteagudo 010502 Huacareta 010599 Hernando Siles province, unknown municipality 010601 Tarabuco 010602 Yamparáez 010699 Yamparaez province, unknown municipality 010701 Camargo 010702 San Lucas 010703 Incahuasi 010704 Villa Charcas 010799 Nor Cinti province, unknown municipality 010801 Villa Serrano 010899 Belisario Boeto province, unknown municipality 010901 Villa Abecia 010902 Culpina 010903 Las Carreras 010999 Sud Cinti province, unknown municipality 011001 Muyupampa 011002 Huacaya 011003 Macharetí 011099 Luis Calvo province, unknown municipality 019999 Chuquisaca department, unknown province and municipality 020101 La Paz 020102 Palca 020103 Mecapaca 020104 Achocalla 020105 El Alto 020199 Murillo province, unknown municipality 020201 Achacachi 020202 Ancoraimes 020203 Chua Cocani 020204 Huarina 020205 Santiago de Huata 020206 Huatajata 020299 Omasuyos province, unknown municipality 020301 Coro Coro 020302 Caquiaviri 020303 Calacoto 020304 Comanche 020305 Charaña 020306 Waldo Ballivian 020307 Nazacara de Pacajes 020308 Callapa 020399 Pacajes province, unknown municipality 020401 Puerto Acosta 020402 Mocomoco 020403 Pto. Carabuco 020404 Humanata 020405 Escoma 020499 Camacho province, unknown municipality 020501 Chuma 020502 Ayata 020503 Aucapata 020599 Muñecas province, unknown municipality 020601 Sorata 020602 Guanay 020603 Tacacoma 020604 Quiabaya 020605 Combaya 020606 Tipuani 020607 Mapiri 020608 Teoponte 020699 Larecaja province, unknown municipality 020701 Apolo 020702 Pelechuco 020799 Franz Tamayo province, unknown municipality 020801 Viacha 020802 Guaqui 020803 Tiahuanacu 020804 Desaguadero 020805 San Andrés de Machaca 020806 Jesús de Machaca 020807 Taraco 020899 Ingavi province, unknown municipality 020901 Luribay 020902 Sapahaqui 020903 Yaco 020904 Malla 020905 Cairoma 020999 Loayza province, unknown municipality 021001 Inquisivi 021002 Quime 021003 Cajuata 021004 Colquiri 021005 Ichoca 021006 Villa Libertad Licoma 021099 Inquisivi province, unknown municipality 021101 Chulumani 021102 Irupana 021103 Yanacachi 021104 Palos Blancos 021105 La Asunta 021199 Sud Yungas province, unknown municipality 021201 Pucarani 021202 Laja 021203 Batallas 021204 Puerto Pérez 021299 Los Andes province, unknown municipality 021301 Sica Sica 021302 Umala 021303 Ayo Ayo 021304 Calamarca 021305 Patacamaya 021306 Colquencha 021307 Collana 021399 Aroma province, unknown municipality 021401 Coroico 021402 Coripata 021499 Nor Yungas province, unknown municipality 021501 Ixiamas 021502 San Buenaventura 021599 Abel Iturralde province, unknown municipality 021601 Charazani 021602 Curva 021699 Bautista Saavedra province, unknown municipality 021701 Copacabana 021702 San Pedro de Tiquina 021703 Tito Yupanqui 021799 Manco Kapac province, unknown municipality 021801 San Pedro Cuarahuara 021802 Papel Pampa 021803 Chacarilla 021899 Gualberto Villarroel province, unknown municipality 021901 Santiago de Machaca 021902 Catacora 021999 José Manuel Pando province, unknown municipality 022001 Caranavi 022002 Alto Beni 022099 Caranavi province, unknown municipality 029999 La Paz department, unknown province and municipality 030101 Cochabamba 030199 Cercado province, unknown municipality 030201 Aiquile 030202 Pasorapa 030203 Omereque 030299 Campero province, unknown municipality 030301 Independencia 030302 Morochata 030303 Cocapata 030399 Ayopaya province, unknown municipality 030401 Tarata 030402 Anzaldo 030403 Arbieto 030404 Sacabamba 030499 Esteban Arce province, unknown municipality 030501 Arani 030502 Vacas 030599 Arani province, unknown municipality 030601 Arque 030602 Tacopaya 030699 Arque province, unknown municipality 030701 Capinota 030702 Santivañez 030703 Sicaya 030799 Capinota province, unknown municipality 030801 Cliza 030802 Toko 030803 Tolata 030899 German Jordán province, unknown municipality 030901 Quillacollo 030902 Sipe Sipe 030903 Tiquipaya 030904 Vinto 030905 Colcapirhua 030999 Quillacollo province, unknown municipality 031001 Sacaba 031002 Colomi 031003 Villa Tunari 031099 Chapare province, unknown municipality 031101 Tapacarí 031199 Tapacarí province, unknown municipality 031201 Totora 031202 Pojo 031203 Pocona 031204 Chimoré 031205 Puerto Villarroel 031206 Entre Rios 031299 Carrasco province, unknown municipality 031301 Mizque 031302 Vila Vila 031303 Alalay 031399 Mizque province, unknown municipality 031401 Punata 031402 Villa Rivero 031403 San Benito 031404 Tacachi 031405 Cuchumuela 031499 Punata province, unknown municipality 031501 Bolívar 031599 Bolívar province, unknown municipality 031601 Tiraque 031602 Shinahota 031699 Tiraque province, unknown municipality 039999 Cochabamba department, unknown province and municipality 040101 Oruro 040102 Caracollo 040103 El Choro 040104 Soracachi 040199 Cercado province, unknown municipality 040201 Challapata 040202 Quillacas 040299 Abaroa province, unknown municipality 040301 Corque 040302 Choque Cota 040399 Carangas province, unknown municipality 040401 Curahuara de Carangas 040402 Turco 040499 Sajama province, unknown municipality 040501 Huachacalla 040502 Escara 040503 Cruz de Machacamarca 040504 Yunguyo de Litoral 040505 Esmeralda 040601 Poopó 040602 Pazña 040603 Antequera 040699 Poopo province, unknown municipality 040701 Huanuni 040702 Machacamarca 040799 Pantaleon Dalence province, unknown municipality 040801 Salinas de García Mendoza 040802 Pampa Aullagas 040899 Ladislao Cabrera province, unknown municipality 040901 Sabaya 040902 Coipasa 040903 Chipaya 040999 Sabaya province, unknown municipality 041001 Toledo 041099 Saucari province, unknown municipality 041101 Eucaliptus 041199 Tomas Barron province, unknown municipality 041201 Santiago de Andamarca 041202 Belén de Andamarca 041299 Sur Carangas province, unknown municipality 041301 San Pedro de Totora 041399 San Pedro de Totora province, unknown municipality 041401 Huari 041499 Sebastián Pagador province, unknown municipality 041501 La Rivera 041502 Todos Santos 041503 Carangas 041599 Mejillones province, unknown municipality 041601 Huayllamarca 041699 Nor Carangas province, unknown municipality 049999 Oruro department, unknown province and municipality 050101 Potosí 050102 Tinguipaya 050103 Yocalla 050104 Urmiri 050199 Tomas Frias province, unknown municipality 050201 Uncía 050202 Chayanta 050203 Llallagua 050204 Chuquihuta 050299 Rafael Bustillo province, unknown municipality 050301 Betanzos 050302 Chaquí 050303 Tacobamba 050399 Cornelio Saavedra province, unknown municipality 050401 Colquechaca 050402 Ravelo 050403 Pocoata 050404 Ocurí 050499 Chayanta province, unknown municipality 050501 S.P. De Buena Vista 050502 Toro Toro 050599 Charcas province, unknown municipality 050601 Cotagaita 050602 Vitichi 050699 Nor Chichas province, unknown municipality 050701 Villa de Sacaca 050702 Caripuyo 050799 Alonso de Ibañez province, unknown municipality 050801 Tupiza 050802 Atocha 050899 Sur Chichas province, unknown municipality 050901 Colcha K 050902 San Pedro de Quemes 050999 Nor Lípez province, unknown municipality 051001 San Pablo de Lipez 051002 Mojinete 051003 San Antonio de Esmoruco 051099 Sur Lípez province, unknown municipality 051101 Puna 051102 Caiza D 051103 Ckochas 051199 José Maria Linares province, unknown municipality 051201 Uyuni 051202 Tomave 051203 Porco 051299 Antonio Quijarro province, unknown municipality 051301 Arampampa 051302 Acasio 051399 Bernardino Bilbao Rioja province, unknown municipality 051401 Llica 051402 Tahua 051499 Daniel Campos province, unknown municipality 051501 Villazón 051599 Modesto Omiste province, unknown municipality 051601 San Agustín 051699 Enrique Baldivieso province, unknown municipality 059999 Potosi department, unknown province and municipality 060101 Tarija 060199 Cercado province, unknown municipality 060201 Padcaya 060202 Bermejo 060299 Aniceto Arce province, unknown municipality 060301 Yacuiba 060302 Caraparí 060303 Villamontes 060399 Gran Chaco province, unknown municipality 060401 Uriondo 060402 Yunchará 060499 Aviles province, unknown municipality 060501 Villa San Lorenzo 060502 El Puente 060599 Méndez province, unknown municipality 060601 Entre Ríos 060699 Burnet Oconnor province, unknown municipality 069999 Tarija department, unknown province and municipality 070101 Santa Cruz de la Sierra 070102 Cotoca 070103 Porongo 070104 La Guardia 070105 El Torno 070199 Andrés Ibañez province, unknown municipality 070201 Warnes 070202 Okinawa Uno 070299 Warnes province, unknown municipality 070301 San Ignacio de Velasco 070302 San Miguel de Velasco 070303 San Rafael 070399 Velasco province, unknown municipality 070401 Buena Vista 070402 San Carlos 070403 Yapacaní 070404 San Juan de Yapacani 070499 Ichilo province, unknown municipality 070501 San Joséde Chiquitos 070502 Pailón 070503 Roboré 070599 Chiquitos province, unknown municipality 070601 Portachuelo 070602 Santa Rosa del Sara 070603 Colpa Belgica 070699 Sara province, unknown municipality 070701 Lagunillas 070702 Charagua 070703 Cabezas 070704 Cuevo 070705 Gutiérrez 070706 Camiri 070707 Boyuibe 070799 Cordillera province, unknown municipality 070801 Vallegrande 070802 Trigal 070803 Moro Moro 070804 Postrer Valle 070805 Pucara 070899 Vallegrande province, unknown municipality 070901 Samaipata 070902 Pampa Grande 070903 Mairana 070904 Quirusillas 070999 Florida province, unknown municipality 071001 Montero 071002 Gral. Saavedra 071003 Mineros 071004 Fernández Alonso 071005 San Pedro 071099 Obispo Santiestevan province, unknown municipality 071101 Concepción 071102 San Javier 071103 San Ramón 071104 San Julián 071105 San Antonio de Lomerío 071106 Cuatro Cañadas 071199 Ñuflo de Chávez province, unknown municipality 071201 San Matías 071299 Angel Sandoval province, unknown municipality 071301 Comarapa 071302 Saipina 071399 Manuel Maria Caballero province, unknown municipality 071401 Puerto Suarez 071402 Puerto Quijarro 071403 Carmen Rivero Torrez 071499 German Busch province, unknown municipality 071501 Ascensión de Guarayos 071502 Urubichá 071503 El Puente 071599 Guarayos province, unknown municipality 079999 Santa Cruz department, unknown province and municipality 080101 Trinidad 080102 San Javier 080199 Cercado province, unknown municipality 080201 Riberalta 080202 Guayaramerín 080299 Vaca Diez province, unknown municipality 080301 Reyes 080302 San Borja 080303 Santa Rosa 080304 Rurrenabaque 080399 José Ballivián province, unknown municipality 080401 Santa Ana de Yacuma 080402 Exaltación 080499 Yacuma province, unknown municipality 080501 San Ignacio 080599 Moxos province, unknown municipality 080601 Loreto 080602 San Andrés 080699 Marban province, unknown municipality 080701 San Joaquín 080702 San Ramón 080703 Puerto Siles 080799 Mamore province, unknown municipality 080801 Magdalena 080802 Baures 080803 Huacaraje 080899 Itenez province, unknown municipality 089999 Beni department, unknown province and municipality 090101 Cobija 090102 Porvenir 090103 Bolpebra 090104 Bella Flor 090199 Nicolás Suárez province, unknown municipality 090201 Puerto Rico 090202 San Pedro 090203 Filadelfia 090299 Manuripi province, unknown municipality 090301 Puerto Gonzales Moreno 090302 San Lorenzo 090303 EL Sena 090399 Madre de Dios province, unknown municipality 090401 Santa Rosa 090402 Ingavi 090499 Abuna province, unknown municipality 090501 Nueva Esperanza 090502 Villa Nueva - Loma Alta 090503 Santos Mercado 090599 Federico Román province, unknown municipality 099999 Pando department, unknown province and municipality 999999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Country of birth <span class="h3">F1. For all people</span></p> <p>32. Where were you born?</p> <div class="i1">[] 1 Here [Go to question 33]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____<br />Year of arrival in Bolivia _ _ _ _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">32. Place of birth</span> <br />The question about place of birth has the following multiple-choice options:</p> <div class="i1">- Here. If the place of birth is in the place where the census interview is occurring.<br />- Elsewhere in this country. If the place of birth is in this country but not the same as the place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person was born.<br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the country of birth and the year of arrival in Bolivia.</div> Bolivia 2012: Persons who were born abroad [discrepancies: type I trace; type II none] This variable indicates the person's country of birth. 032 Argentina 056 Belgium 076 Brazil 084 Belize 124 Canada 152 Chile 156 China 170 Colombia 192 Cuba 218 Ecuador 250 France 276 Germany 380 Italy 392 Japan 410 Korea (South Korea) 484 Mexico 528 The Netherlands 600 Paraguay 604 Peru 724 Spain 752 Sweden 756 Switzerland 826 United Kingdom of Great Britain and Northern Ireland 840 United States of America 858 Uruguay 862 Bolivarian Republic of Venezuela 895 Russia 997 Other foreign country 998 Unknown 999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Place of usual residence <span class="h3">F1. For all people</span></p> <p>33. Where do you usually live?</p> <div class="i1">[] 1 Here [Go to question 34]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">33. Usual place of residence</span> <br />On the census form, the question about usual place of residence has the following answers:</p> <div class="i1">- Here. If the usual place of residence is in the place where the census interview is occurring.<br />- Elsewhere in this country. If the usual place of residence is in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resides.<br /><span class="pg">[p. 16]</span><br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence.</div> Bolivia 2012: All persons This variable indicates the person's usual place of residence. 1 Here (location where enumerated) 2 Elsewhere in this country 3 Abroad Migration: Global Variables -- PERSON Department of usual residence <span class="h3">F1. For all people</span></p> <p>33. Where do you usually live?</p> <div class="i1">[] 1 Here [Go to question 34]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">33. Usual place of residence</span> <br />On the census form, the question about usual place of residence has the following answers:</p> <div class="i1">- Here. If the usual place of residence is in the place where the census interview is occurring.<br />- Elsewhere in this country. If the usual place of residence is in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resides.<br /><span class="pg">[p. 16]</span><br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence.</div> Bolivia 2012: Persons whose usual residence is in Bolivia [discrepancies: none] This variable indicates the person's department of usual residence. 01 Chuquisaca 02 La Paz 03 Cochabamba 04 Oruro 05 Potosi 06 Tarija 07 Santa Cruz 08 Beni 09 Pando 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Province of usual residence <span class="h3">F1. For all people</span></p> <p>33. Where do you usually live?</p> <div class="i1">[] 1 Here [Go to question 34]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">33. Usual place of residence</span> <br />On the census form, the question about usual place of residence has the following answers:</p> <div class="i1">- Here. If the usual place of residence is in the place where the census interview is occurring.<br />- Elsewhere in this country. If the usual place of residence is in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resides.<br /><span class="pg">[p. 16]</span><br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence.</div> Bolivia 2012: Persons whose usual residence is in Bolivia [discrepancies: none] This variable indicates the person's province of usual residence. 0101 Oropeza 0102 Azurduy 0103 Zudañez 0104 Tomina 0105 Hernando Siles 0106 Yamparaez 0107 Nor Cinti 0108 Belisario Boeto 0109 Sud Cinti 0110 Luis Calvo 0199 Chuquisaca department, unknown province 0201 Murillo 0202 Omasuyos 0203 Pacajes 0204 Camacho 0205 Muñecas 0206 Larecaja 0207 Franz Tamayo 0208 Ingavi 0209 Loayza 0210 Inquisivi 0211 Sud Yungas 0212 Los Andes 0213 Aroma 0214 Nor Yungas 0215 Abel Iturralde 0216 Bautista Saavedra 0217 Manco Kapac 0218 Gualberto Villarroel 0219 José Manuel Pando 0220 Caranavi 0299 La Paz department, unknown province 0301 Cercado 0302 Campero 0303 Ayopaya 0304 Esteban Arce 0305 Arani 0306 Arque 0307 Capinota 0308 German Jordán 0309 Quillacollo 0310 Chapare 0311 Tapacarí 0312 Carrasco 0313 Mizque 0314 Punata 0315 Bolívar 0316 Tiraque 0399 Cochabamba department, unknown province 0401 Cercado 0402 Abaroa 0403 Carangas 0404 Sajama 0405 Litoral 0406 Poopo 0407 Pantaleon Dalence 0408 Ladislao Cabrera 0409 Sabaya 0410 Saucari 0411 Tomas Barron 0412 Sur Carangas 0413 San Pedro de Totora 0414 Sebastián Pagador 0415 Mejillones 0416 Nor Carangas 0499 Oruro department, unknown province 0501 Tomas Frias 0502 Rafael Bustillo 0503 Cornelio Saavedra 0504 Chayanta 0505 Charcas 0506 Nor Chichas 0507 Alonso de Ibañez 0508 Sur Chichas 0509 Nor Lípez 0510 Sur Lípez 0511 José Maria Linares 0512 Antonio Quijarro 0513 Bernardino Bilbao Rioja 0514 Daniel Campos 0515 Modesto Omiste 0516 Enrique Baldivieso 0599 Potosi department, unknown province 0601 Cercado 0602 Aniceto Arce 0603 Gran Chaco 0604 Aviles 0605 Méndez 0606 Burnet Oconnor 0699 Tarija department, unknown province 0701 Andrés Ibañez 0702 Warnes 0703 Velasco 0704 Ichilo 0705 Chiquitos 0706 Sara 0707 Cordillera 0708 Vallegrande 0709 Florida 0710 Obispo Santiestevan 0711 Ñuflo de Chávez 0712 Angel Sandoval 0713 Manuel Maria Caballero 0714 German Busch 0715 Guarayos 0799 Santa Cruz department, unknown province 0801 Cercado 0802 Vaca Diez 0803 José Ballivián 0804 Yacuma 0805 Moxos 0806 Marban 0807 Mamore 0808 Itenez 0899 Beni department, unknown province 0901 Nicolás Suárez 0902 Manuripi 0903 Madre de Dios 0904 Abuna 0905 Federico Román 0999 Pando department, unknown province 9998 Unknown 9999 NIU (not in universe) Migration: Global Variables -- PERSON Municipality of usual residence <span class="h3">F1. For all people</span></p> <p>33. Where do you usually live?</p> <div class="i1">[] 1 Here [Go to question 34]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">33. Usual place of residence</span> <br />On the census form, the question about usual place of residence has the following answers:</p> <div class="i1">- Here. If the usual place of residence is in the place where the census interview is occurring.<br />- Elsewhere in this country. If the usual place of residence is in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resides.<br /><span class="pg">[p. 16]</span><br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence.</div> Bolivia 2012: Persons whose usual residence is in Bolivia [discrepancies: none] This variable indicates the person's municipality of usual residence. 010101 Sucre 010102 Yotala 010103 Poroma 010199 Oropeza 010201 Azurduy 010202 Tarvita 010301 Zudañez 010302 Presto 010303 Mojocoya 010304 Icla 010401 Padilla 010402 Tomina 010403 Sopachuy 010404 Villa Alcalá 010405 El Villar 010499 Tomina province, unknown municipality 010501 Monteagudo 010502 Huacareta 010601 Tarabuco 010602 Yamparáez 010701 Camargo 010702 San Lucas 010703 Incahuasi 010704 Villa Charcas 010799 Nor Cinti province, unknown municipality 010801 Villa Serrano 010901 Villa Abecia 010902 Culpina 010903 Las Carreras 010999 Sud Cinti province, unknown municipality 011001 Muyupampa 011002 Huacaya 011003 Macharetí 019999 Chuquisaca department, unknown province and municipality 020101 La Paz 020102 Palca 020103 Mecapaca 020104 Achocalla 020105 El Alto 020199 Murillo province, unknown municipality 020201 Achacachi 020202 Ancoraimes 020203 Chua Cocani 020204 Huarina 020205 Santiago de Huata 020206 Huatajata 020299 Omasuyos province, unknown municipality 020301 Coro Coro 020302 Caquiaviri 020303 Calacoto 020304 Comanche 020305 Charaña 020306 Waldo Ballivian 020308 Callapa 020399 Pacajes province, unknown municipality 020401 Puerto Acosta 020402 Mocomoco 020403 Pto. Carabuco 020404 Humanata 020405 Escoma 020499 Camacho province, unknown municipality 020501 Chuma 020502 Ayata 020503 Aucapata 020601 Sorata 020602 Guanay 020603 Tacacoma 020604 Quiabaya 020605 Combaya 020606 Tipuani 020607 Mapiri 020608 Teoponte 020699 Larecaja province, unknown municipality 020701 Apolo 020702 Pelechuco 020801 Viacha 020802 Guaqui 020803 Tiahuanacu 020804 Desaguadero 020805 San Andrés de Machaca 020806 Jesús de Machaca 020807 Taraco 020901 Luribay 020902 Sapahaqui 020903 Yaco 020904 Malla 020905 Cairoma 021001 Inquisivi 021002 Quime 021003 Cajuata 021004 Colquiri 021005 Ichoca 021006 Villa Libertad Licoma 021101 Chulumani 021102 Irupana 021103 Yanacachi 021104 Palos Blancos 021105 La Asunta 021199 Sud Yungas province, unknown municipality 021201 Pucarani 021202 Laja 021203 Batallas 021204 Puerto Pérez 021299 Los Andes province, unknown municipality 021301 Sica Sica 021302 Umala 021303 Ayo Ayo 021304 Calamarca 021305 Patacamaya 021306 Colquencha 021307 Collana 021399 Aroma province, unknown municipality 021401 Coroico 021402 Coripata 021499 Nor Yungas province, unknown municipality 021501 Ixiamas 021502 San Buenaventura 021601 Charazani 021701 Copacabana 021702 San Pedro de Tiquina 021703 Tito Yupanqui 021801 San Pedro Cuarahuara 021802 Papel Pampa 021803 Chacarilla 021901 Santiago de Machaca 021902 Catacora 021999 José Manuel Pando province, unknown municipality 022001 Caranavi 022002 Alto Beni 029999 La Paz department, unknown province and municipality 030101 Cochabamba 030199 Cercado province, unknown municipality 030201 Aiquile 030202 Pasorapa 030203 Omereque 030301 Independencia 030302 Morochata 030303 Cocapata 030399 Ayopaya province, unknown municipality 030401 Tarata 030402 Anzaldo 030403 Arbieto 030404 Sacabamba 030499 Esteban Arce province, unknown municipality 030501 Arani 030502 Vacas 030601 Arque 030602 Tacopaya 030701 Capinota 030702 Santivañez 030703 Sicaya 030799 Capinota province, unknown municipality 030801 Cliza 030802 Toko 030803 Tolata 030901 Quillacollo 030902 Sipe Sipe 030903 Tiquipaya 030904 Vinto 030905 Colcapirhua 030999 Quillacollo province, unknown municipality 031001 Sacaba 031002 Colomi 031003 Villa Tunari 031099 Chapare province, unknown municipality 031101 Tapacarí 031201 Totora 031202 Pojo 031203 Pocona 031204 Chimoré 031205 Puerto Villarroel 031206 Entre Rios 031299 Carrasco province, unknown municipality 031301 Mizque 031302 Vila Vila 031303 Alalay 031401 Punata 031402 Villa Rivero 031403 San Benito 031405 Cuchumuela 031501 Bolívar 031601 Tiraque 031602 Shinahota 031699 Tiraque province, unknown municipality 039999 Cochabamba department, unknown province and municipality 040101 Oruro 040102 Caracollo 040103 El Choro 040104 Soracachi 040199 Cercado province, unknown municipality 040201 Challapata 040202 Quillacas 040299 Abaroa province, unknown municipality 040301 Corque 040302 Choque Cota 040401 Curahuara de Carangas 040402 Turco 040501 Huachacalla 040502 Escara 040503 Cruz de Machacamarca 040601 Poopó 040602 Pazña 040603 Antequera 040699 Poopo province, unknown municipality 040701 Huanuni 040702 Machacamarca 040801 Salinas de García Mendoza 040802 Pampa Aullagas 040901 Sabaya 040903 Chipaya 040999 Sabaya province, unknown municipality 041001 Toledo 041101 Eucaliptus 041201 Santiago de Andamarca 041202 Belén de Andamarca 041301 San Pedro de Totora 041401 Huari 041503 Carangas 041601 Huayllamarca 049999 Oruro department, unknown province and municipality 050101 Potosí 050102 Tinguipaya 050103 Yocalla 050104 Urmiri 050199 Tomas Frias province, unknown municipality 050201 Uncía 050202 Chayanta 050203 Llallagua 050204 Chuquihuta 050299 Rafael Bustillo province, unknown municipality 050301 Betanzos 050302 Chaquí 050303 Tacobamba 050399 Cornelio Saavedra province, unknown municipality 050401 Colquechaca 050402 Ravelo 050403 Pocoata 050404 Ocurí 050499 Chayanta province, unknown municipality 050501 S.P. De Buena Vista 050502 Toro Toro 050601 Cotagaita 050602 Vitichi 050699 Nor Chichas province, unknown municipality 050701 Villa de Sacaca 050702 Caripuyo 050801 Tupiza 050802 Atocha 050901 Colcha K 050902 San Pedro de Quemes 050999 Nor Lípez province, unknown municipality 051001 San Pablo de Lipez 051003 San Antonio de Esmoruco 051099 Sur Lípez province, unknown municipality 051101 Puna 051102 Caiza D 051103 Ckochas 051199 José Maria Linares province, unknown municipality 051201 Uyuni 051202 Tomave 051203 Porco 051301 Arampampa 051302 Acasio 051401 Llica 051402 Tahua 051501 Villazón 051601 San Agustín 059999 Potosi department, unknown province and municipality 060101 Tarija 060199 Cercado province, unknown municipality 060201 Padcaya 060202 Bermejo 060301 Yacuiba 060302 Caraparí 060303 Villamontes 060399 Gran Chaco province, unknown municipality 060401 Uriondo 060402 Yunchará 060501 Villa San Lorenzo 060502 El Puente 060601 Entre Ríos 060699 Burnet Oconnor province, unknown municipality 069999 Tarija department, unknown province and municipality 070101 Santa Cruz de la Sierra 070102 Cotoca 070103 Porongo 070104 La Guardia 070105 El Torno 070199 Andrés Ibañez province, unknown municipality 070201 Warnes 070202 Okinawa Uno 070299 Warnes province, unknown municipality 070301 San Ignacio de Velasco 070302 San Miguel de Velasco 070303 San Rafael 070399 Velasco province, unknown municipality 070401 Buena Vista 070402 San Carlos 070403 Yapacaní 070404 San Juan de Yapacani 070501 San Joséde Chiquitos 070502 Pailón 070503 Roboré 070599 Chiquitos province, unknown municipality 070601 Portachuelo 070602 Santa Rosa del Sara 070603 Colpa Belgica 070699 Sara province, unknown municipality 070701 Lagunillas 070702 Charagua 070703 Cabezas 070704 Cuevo 070705 Gutiérrez 070706 Camiri 070707 Boyuibe 070799 Cordillera province, unknown municipality 070801 Vallegrande 070802 Trigal 070803 Moro Moro 070804 Postrer Valle 070805 Pucara 070901 Samaipata 070902 Pampa Grande 070903 Mairana 071001 Montero 071002 Gral. Saavedra 071003 Mineros 071004 Fernández Alonso 071005 San Pedro 071099 Obispo Santiestevan province, unknown municipality 071101 Concepción 071102 San Javier 071103 San Ramón 071104 San Julián 071106 Cuatro Cañadas 071199 Ñuflo de Chávez province, unknown municipality 071201 San Matías 071301 Comarapa 071302 Saipina 071399 Manuel Maria Caballero province, unknown municipality 071401 Puerto Suarez 071402 Puerto Quijarro 071403 Carmen Rivero Torrez 071501 Ascensión de Guarayos 071502 Urubichá 071503 El Puente 079999 Santa Cruz department, unknown province and municipality 080101 Trinidad 080102 San Javier 080199 Cercado province, unknown municipality 080201 Riberalta 080202 Guayaramerín 080299 Vaca Diez province, unknown municipality 080301 Reyes 080302 San Borja 080303 Santa Rosa 080304 Rurrenabaque 080401 Santa Ana de Yacuma 080402 Exaltación 080501 San Ignacio 080599 Moxos province, unknown municipality 080601 Loreto 080602 San Andrés 080699 Marban province, unknown municipality 080701 San Joaquín 080702 San Ramón 080703 Puerto Siles 080801 Magdalena 080802 Baures 080803 Huacaraje 080899 Itenez province, unknown municipality 089999 Beni department, unknown province and municipality 090101 Cobija 090102 Porvenir 090103 Bolpebra 090201 Puerto Rico 090202 San Pedro 090203 Filadelfia 090299 Manuripi province, unknown municipality 090301 Puerto Gonzales Moreno 090302 San Lorenzo 090303 EL Sena 090402 Ingavi 090502 Villa Nueva - Loma Alta 090503 Santos Mercado 099999 Pando department, unknown province and municipality 999998 Unknown 999999 NIU (not in universe) 020307 Nazacara de Pacajes 031404 Tacachi 040504 Yunguyo de Litoral 040505 Esmeralda 040902 Coipasa 041501 La Rivera 041502 Todos Santos 051002 Mojinete 070904 Quirusillas 071105 San Antonio de Lomerío 090104 Bella Flor 090401 Santa Rosa 090501 Nueva Esperanza Migration: Global Variables -- PERSON Country of usual residence <span class="h3">F1. For all people</span></p> <p>33. Where do you usually live?</p> <div class="i1">[] 1 Here [Go to question 34]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Name of country ____</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">33. Usual place of residence</span> <br />On the census form, the question about usual place of residence has the following answers:</p> <div class="i1">- Here. If the usual place of residence is in the place where the census interview is occurring.<br />- Elsewhere in this country. If the usual place of residence is in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resides.<br /><span class="pg">[p. 16]</span><br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence.</div> Bolivia 2012: Persons whose usual residence is abroad [discrepancies: type I trace; type II none] This variable indicates the person's country of usual residence. 032 Argentina 076 Brazil 152 Chile 192 Cuba 250 France 276 Germany 380 Italy 604 Peru 724 Spain 752 Sweden 840 United States of America 997 Other foreign country 998 Unknown 999 NIU (not in universe) Migration: Global Variables -- PERSON Place of residence 5 years ago <span class="h3">F1. For all people</span></p> <p>34. Where did you leave 5 years ago?</p> <div class="i1">[] 1 Here [Go to question 35]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Country name ____</div><div class="i1">[] 4 Had not been born yet</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">34. Usual place of residence 5 years before the census</span> <br />Usual place of residence 5 years before the census refers to the geographical location where the person documented in the census usually lived in the year 2007. The usual place of residence five years before the census may or may not be in the same place where the census interview is occurring.</p> <p>The question about usual place of residence 5 years before the census has the following multiple-choice options:</p> <div class="i1">- Here. If the usual place of residence 5 years earlier was in the place where the census interview is occurring. In this case, note down the answer and go to section F2. Only for people at least 4 years old.<br />- Elsewhere in this country. If the usual place of residence 5 years ago was in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resided 5 years earlier.<br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence 5 years before the census (2007).<br />- Had not been born yet. If the interviewee is less than 5 years old.</div> Bolivia 2012: Persons age 5+ [discrepancies: none] This variable indicates the person's place of residence 5 years ago. 1 Here (location where enumerated) 2 Elsewhere in this country 3 Abroad 9 NIU (not in universe) Migration: Global Variables -- PERSON Department of residence 5 years ago <span class="h3">F1. For all people</span></p> <p>34. Where did you leave 5 years ago?</p> <div class="i1">[] 1 Here [Go to question 35]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Country name ____</div><div class="i1">[] 4 Had not been born yet</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">34. Usual place of residence 5 years before the census</span> <br />Usual place of residence 5 years before the census refers to the geographical location where the person documented in the census usually lived in the year 2007. The usual place of residence five years before the census may or may not be in the same place where the census interview is occurring.</p> <p>The question about usual place of residence 5 years before the census has the following multiple-choice options:</p> <div class="i1">- Here. If the usual place of residence 5 years earlier was in the place where the census interview is occurring. In this case, note down the answer and go to section F2. Only for people at least 4 years old.<br />- Elsewhere in this country. If the usual place of residence 5 years ago was in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resided 5 years earlier.<br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence 5 years before the census (2007).<br />- Had not been born yet. If the interviewee is less than 5 years old.</div> Bolivia 2012: Persons age 5+ whose residence 5 years ago was in Bolivia [discrepancies: none] This variable indicates the person's department of usual residence 5 years ago. 01 Chuquisaca 02 La Paz 03 Cochabamba 04 Oruro 05 Potosi 06 Tarija 07 Santa Cruz 08 Beni 09 Pando 99 NIU (not in universe) Migration: Global Variables -- PERSON Province of residence 5 years ago <span class="h3">F1. For all people</span></p> <p>34. Where did you leave 5 years ago?</p> <div class="i1">[] 1 Here [Go to question 35]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Country name ____</div><div class="i1">[] 4 Had not been born yet</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">34. Usual place of residence 5 years before the census</span> <br />Usual place of residence 5 years before the census refers to the geographical location where the person documented in the census usually lived in the year 2007. The usual place of residence five years before the census may or may not be in the same place where the census interview is occurring.</p> <p>The question about usual place of residence 5 years before the census has the following multiple-choice options:</p> <div class="i1">- Here. If the usual place of residence 5 years earlier was in the place where the census interview is occurring. In this case, note down the answer and go to section F2. Only for people at least 4 years old.<br />- Elsewhere in this country. If the usual place of residence 5 years ago was in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resided 5 years earlier.<br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence 5 years before the census (2007).<br />- Had not been born yet. If the interviewee is less than 5 years old.</div> Bolivia 2012: Persons age 5+ whose residence 5 years ago was in Bolivia [discrepancies: none] This variable indicates the person's province of usual residence 5 years ago. 0101 Oropeza 0102 Azurduy 0103 Zudañez 0104 Tomina 0105 Hernando Siles 0106 Yamparaez 0107 Nor Cinti 0108 Belisario Boeto 0109 Sud Cinti 0110 Luis Calvo 0199 Chuquisaca department, unknown province 0201 Murillo 0202 Omasuyos 0203 Pacajes 0204 Camacho 0205 Muñecas 0206 Larecaja 0207 Franz Tamayo 0208 Ingavi 0209 Loayza 0210 Inquisivi 0211 Sud Yungas 0212 Los Andes 0213 Aroma 0214 Nor Yungas 0215 Abel Iturralde 0216 Bautista Saavedra 0217 Manco Kapac 0218 Gualberto Villarroel 0219 José Manuel Pando 0220 Caranavi 0299 La Paz department, unknown province 0301 Cercado 0302 Campero 0303 Ayopaya 0304 Esteban Arce 0305 Arani 0306 Arque 0307 Capinota 0308 German Jordán 0309 Quillacollo 0310 Chapare 0311 Tapacarí 0312 Carrasco 0313 Mizque 0314 Punata 0315 Bolívar 0316 Tiraque 0399 Cochabamba department, unknown province 0401 Cercado 0402 Abaroa 0403 Carangas 0404 Sajama 0405 Litoral 0406 Poopo 0407 Pantaleon Dalence 0408 Ladislao Cabrera 0409 Sabaya 0410 Saucari 0411 Tomas Barron 0412 Sur Carangas 0413 San Pedro de Totora 0414 Sebastián Pagador 0415 Mejillones 0416 Nor Carangas 0499 Oruro department, unknown province 0501 Tomas Frias 0502 Rafael Bustillo 0503 Cornelio Saavedra 0504 Chayanta 0505 Charcas 0506 Nor Chichas 0507 Alonso de Ibañez 0508 Sur Chichas 0509 Nor Lípez 0510 Sur Lípez 0511 José Maria Linares 0512 Antonio Quijarro 0513 Bernardino Bilbao Rioja 0514 Daniel Campos 0515 Modesto Omiste 0516 Enrique Baldivieso 0599 Potosi department, unknown province 0601 Cercado 0602 Aniceto Arce 0603 Gran Chaco 0604 Aviles 0605 Méndez 0606 Burnet Oconnor 0699 Tarija department, unknown province 0701 Andrés Ibañez 0702 Warnes 0703 Velasco 0704 Ichilo 0705 Chiquitos 0706 Sara 0707 Cordillera 0708 Vallegrande 0709 Florida 0710 Obispo Santiestevan 0711 Ñuflo de Chávez 0712 Angel Sandoval 0713 Manuel Maria Caballero 0714 German Busch 0715 Guarayos 0799 Santa Cruz department, unknown province 0801 Cercado 0802 Vaca Diez 0803 José Ballivián 0804 Yacuma 0805 Moxos 0806 Marban 0807 Mamore 0808 Itenez 0899 Beni department, unknown province 0901 Nicolás Suárez 0902 Manuripi 0903 Madre de Dios 0904 Abuna 0905 Federico Román 0999 Pando department, unknown province 9999 NIU (not in universe) Migration: Global Variables -- PERSON Municipality of residence 5 years ago (last 2 digits) <span class="h3">F1. For all people</span></p> <p>34. Where did you leave 5 years ago?</p> <div class="i1">[] 1 Here [Go to question 35]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Country name ____</div><div class="i1">[] 4 Had not been born yet</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">34. Usual place of residence 5 years before the census</span> <br />Usual place of residence 5 years before the census refers to the geographical location where the person documented in the census usually lived in the year 2007. The usual place of residence five years before the census may or may not be in the same place where the census interview is occurring.</p> <p>The question about usual place of residence 5 years before the census has the following multiple-choice options:</p> <div class="i1">- Here. If the usual place of residence 5 years earlier was in the place where the census interview is occurring. In this case, note down the answer and go to section F2. Only for people at least 4 years old.<br />- Elsewhere in this country. If the usual place of residence 5 years ago was in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resided 5 years earlier.<br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence 5 years before the census (2007).<br />- Had not been born yet. If the interviewee is less than 5 years old.</div> Bolivia 2012: Persons age 5+ whose residence 5 years ago was in Bolivia [discrepancies: none] This variable indicates the person's municipality of usual residence 5 years ago. 010101 Sucre 010102 Yotala 010103 Poroma 010199 Oropeza 010201 Azurduy 010202 Tarvita 010299 Azurduy province, unknown municipality 010301 Zudañez 010302 Presto 010303 Mojocoya 010304 Icla 010399 Zudañez province, unknown municipality 010401 Padilla 010402 Tomina 010403 Sopachuy 010404 Villa Alcalá 010405 El Villar 010499 Tomina province, unknown municipality 010501 Monteagudo 010502 Huacareta 010599 Hernando Siles province, unknown municipality 010601 Tarabuco 010602 Yamparáez 010699 Yamparaez province, unknown municipality 010701 Camargo 010702 San Lucas 010703 Incahuasi 010704 Villa Charcas 010799 Nor Cinti province, unknown municipality 010801 Villa Serrano 010899 Belisario Boeto province, unknown municipality 010901 Villa Abecia 010902 Culpina 010903 Las Carreras 010999 Sud Cinti province, unknown municipality 011001 Muyupampa 011002 Huacaya 011003 Macharetí 011099 Luis Calvo province, unknown municipality 019999 Chuquisaca department, unknown province and municipality 020101 La Paz 020102 Palca 020103 Mecapaca 020104 Achocalla 020105 El Alto 020199 Murillo province, unknown municipality 020201 Achacachi 020202 Ancoraimes 020203 Chua Cocani 020204 Huarina 020205 Santiago de Huata 020206 Huatajata 020299 Omasuyos province, unknown municipality 020301 Coro Coro 020302 Caquiaviri 020303 Calacoto 020304 Comanche 020305 Charaña 020306 Waldo Ballivian 020308 Callapa 020399 Pacajes province, unknown municipality 020401 Puerto Acosta 020402 Mocomoco 020403 Pto. Carabuco 020404 Humanata 020405 Escoma 020499 Camacho province, unknown municipality 020501 Chuma 020502 Ayata 020503 Aucapata 020599 Muñecas province, unknown municipality 020601 Sorata 020602 Guanay 020603 Tacacoma 020604 Quiabaya 020605 Combaya 020606 Tipuani 020607 Mapiri 020608 Teoponte 020699 Larecaja province, unknown municipality 020701 Apolo 020702 Pelechuco 020801 Viacha 020802 Guaqui 020803 Tiahuanacu 020804 Desaguadero 020805 San Andrés de Machaca 020806 Jesús de Machaca 020807 Taraco 020899 Ingavi province, unknown municipality 020901 Luribay 020902 Sapahaqui 020903 Yaco 020904 Malla 020905 Cairoma 020999 Loayza province, unknown municipality 021001 Inquisivi 021002 Quime 021003 Cajuata 021004 Colquiri 021005 Ichoca 021006 Villa Libertad Licoma 021099 Inquisivi province, unknown municipality 021101 Chulumani 021102 Irupana 021103 Yanacachi 021104 Palos Blancos 021105 La Asunta 021199 Sud Yungas province, unknown municipality 021201 Pucarani 021202 Laja 021203 Batallas 021204 Puerto Pérez 021299 Los Andes province, unknown municipality 021301 Sica Sica 021302 Umala 021303 Ayo Ayo 021304 Calamarca 021305 Patacamaya 021306 Colquencha 021307 Collana 021399 Aroma province, unknown municipality 021401 Coroico 021402 Coripata 021499 Nor Yungas province, unknown municipality 021501 Ixiamas 021502 San Buenaventura 021601 Charazani 021602 Curva 021699 Bautista Saavedra province, unknown municipality 021701 Copacabana 021702 San Pedro de Tiquina 021703 Tito Yupanqui 021799 Manco Kapac province, unknown municipality 021801 San Pedro Cuarahuara 021802 Papel Pampa 021803 Chacarilla 021899 Gualberto Villarroel province, unknown municipality 021901 Santiago de Machaca 021902 Catacora 022001 Caranavi 022002 Alto Beni 022099 Caranavi province, unknown municipality 029999 La Paz department, unknown province and municipality 030101 Cochabamba 030199 Cercado province, unknown municipality 030201 Aiquile 030202 Pasorapa 030203 Omereque 030299 Campero province, unknown municipality 030301 Independencia 030302 Morochata 030303 Cocapata 030399 Ayopaya province, unknown municipality 030401 Tarata 030402 Anzaldo 030403 Arbieto 030404 Sacabamba 030499 Esteban Arce province, unknown municipality 030501 Arani 030502 Vacas 030599 Arani province, unknown municipality 030601 Arque 030602 Tacopaya 030699 Arque province, unknown municipality 030701 Capinota 030702 Santivañez 030703 Sicaya 030799 Capinota province, unknown municipality 030801 Cliza 030802 Toko 030803 Tolata 030899 German Jordán province, unknown municipality 030901 Quillacollo 030902 Sipe Sipe 030903 Tiquipaya 030904 Vinto 030905 Colcapirhua 030999 Quillacollo province, unknown municipality 031001 Sacaba 031002 Colomi 031003 Villa Tunari 031099 Chapare province, unknown municipality 031101 Tapacarí 031199 Tapacarí province, unknown municipality 031201 Totora 031202 Pojo 031203 Pocona 031204 Chimoré 031205 Puerto Villarroel 031206 Entre Rios 031299 Carrasco province, unknown municipality 031301 Mizque 031302 Vila Vila 031303 Alalay 031401 Punata 031402 Villa Rivero 031403 San Benito 031404 Tacachi 031405 Cuchumuela 031501 Bolívar 031599 Bolívar province, unknown municipality 031601 Tiraque 031602 Shinahota 031699 Tiraque province, unknown municipality 039999 Cochabamba department, unknown province and municipality 040101 Oruro 040102 Caracollo 040103 El Choro 040104 Soracachi 040199 Cercado province, unknown municipality 040201 Challapata 040202 Quillacas 040299 Abaroa province, unknown municipality 040301 Corque 040302 Choque Cota 040401 Curahuara de Carangas 040402 Turco 040499 Sajama province, unknown municipality 040501 Huachacalla 040503 Cruz de Machacamarca 040505 Esmeralda 040601 Poopó 040602 Pazña 040603 Antequera 040701 Huanuni 040702 Machacamarca 040799 Pantaleon Dalence province, unknown municipality 040801 Salinas de García Mendoza 040802 Pampa Aullagas 040899 Ladislao Cabrera province, unknown municipality 040901 Sabaya 040902 Coipasa 040903 Chipaya 041001 Toledo 041101 Eucaliptus 041199 Tomas Barron province, unknown municipality 041201 Santiago de Andamarca 041202 Belén de Andamarca 041301 San Pedro de Totora 041399 San Pedro de Totora province, unknown municipality 041401 Huari 041499 Sebastián Pagador province, unknown municipality 041502 Todos Santos 041503 Carangas 041601 Huayllamarca 041699 Nor Carangas province, unknown municipality 049999 Oruro department, unknown province and municipality 050101 Potosí 050102 Tinguipaya 050103 Yocalla 050104 Urmiri 050199 Tomas Frias province, unknown municipality 050201 Uncía 050202 Chayanta 050203 Llallagua 050204 Chuquihuta 050299 Rafael Bustillo province, unknown municipality 050301 Betanzos 050302 Chaquí 050303 Tacobamba 050399 Cornelio Saavedra province, unknown municipality 050401 Colquechaca 050402 Ravelo 050403 Pocoata 050404 Ocurí 050499 Chayanta province, unknown municipality 050501 S.P. De Buena Vista 050502 Toro Toro 050599 Charcas province, unknown municipality 050601 Cotagaita 050602 Vitichi 050699 Nor Chichas province, unknown municipality 050701 Villa de Sacaca 050702 Caripuyo 050799 Alonso de Ibañez province, unknown municipality 050801 Tupiza 050802 Atocha 050899 Sur Chichas province, unknown municipality 050901 Colcha K 050902 San Pedro de Quemes 050999 Nor Lípez province, unknown municipality 051001 San Pablo de Lipez 051002 Mojinete 051003 San Antonio de Esmoruco 051099 Sur Lípez province, unknown municipality 051101 Puna 051102 Caiza D 051103 Ckochas 051199 José Maria Linares province, unknown municipality 051201 Uyuni 051202 Tomave 051203 Porco 051299 Antonio Quijarro province, unknown municipality 051301 Arampampa 051302 Acasio 051399 Bernardino Bilbao Rioja province, unknown municipality 051401 Llica 051402 Tahua 051499 Daniel Campos province, unknown municipality 051501 Villazón 051601 San Agustín 059999 Potosi department, unknown province and municipality 060101 Tarija 060199 Cercado province, unknown municipality 060201 Padcaya 060202 Bermejo 060299 Aniceto Arce province, unknown municipality 060301 Yacuiba 060302 Caraparí 060303 Villamontes 060399 Gran Chaco province, unknown municipality 060401 Uriondo 060402 Yunchará 060499 Aviles province, unknown municipality 060501 Villa San Lorenzo 060502 El Puente 060599 Méndez province, unknown municipality 060601 Entre Ríos 060699 Burnet Oconnor province, unknown municipality 069999 Tarija department, unknown province and municipality 070101 Santa Cruz de la Sierra 070102 Cotoca 070103 Porongo 070104 La Guardia 070105 El Torno 070199 Andrés Ibañez province, unknown municipality 070201 Warnes 070202 Okinawa Uno 070299 Warnes province, unknown municipality 070301 San Ignacio de Velasco 070302 San Miguel de Velasco 070303 San Rafael 070401 Buena Vista 070402 San Carlos 070403 Yapacaní 070404 San Juan de Yapacani 070499 Ichilo province, unknown municipality 070501 San Joséde Chiquitos 070502 Pailón 070503 Roboré 070599 Chiquitos province, unknown municipality 070601 Portachuelo 070602 Santa Rosa del Sara 070603 Colpa Belgica 070699 Sara province, unknown municipality 070701 Lagunillas 070702 Charagua 070703 Cabezas 070704 Cuevo 070705 Gutiérrez 070706 Camiri 070707 Boyuibe 070799 Cordillera province, unknown municipality 070801 Vallegrande 070802 Trigal 070803 Moro Moro 070804 Postrer Valle 070805 Pucara 070899 Vallegrande province, unknown municipality 070901 Samaipata 070902 Pampa Grande 070903 Mairana 070904 Quirusillas 070999 Florida province, unknown municipality 071001 Montero 071002 Gral. Saavedra 071003 Mineros 071004 Fernández Alonso 071005 San Pedro 071099 Obispo Santiestevan province, unknown municipality 071101 Concepción 071102 San Javier 071103 San Ramón 071104 San Julián 071105 San Antonio de Lomerío 071106 Cuatro Cañadas 071199 Ñuflo de Chávez province, unknown municipality 071201 San Matías 071299 Angel Sandoval province, unknown municipality 071301 Comarapa 071302 Saipina 071399 Manuel Maria Caballero province, unknown municipality 071401 Puerto Suarez 071402 Puerto Quijarro 071403 Carmen Rivero Torrez 071499 German Busch province, unknown municipality 071501 Ascensión de Guarayos 071502 Urubichá 071503 El Puente 071599 Guarayos province, unknown municipality 079999 Santa Cruz department, unknown province and municipality 080101 Trinidad 080102 San Javier 080199 Cercado province, unknown municipality 080201 Riberalta 080202 Guayaramerín 080299 Vaca Diez province, unknown municipality 080301 Reyes 080302 San Borja 080303 Santa Rosa 080304 Rurrenabaque 080399 José Ballivián province, unknown municipality 080401 Santa Ana de Yacuma 080402 Exaltación 080499 Yacuma province, unknown municipality 080501 San Ignacio 080599 Moxos province, unknown municipality 080601 Loreto 080602 San Andrés 080699 Marban province, unknown municipality 080701 San Joaquín 080702 San Ramón 080703 Puerto Siles 080799 Mamore province, unknown municipality 080801 Magdalena 080802 Baures 080803 Huacaraje 080899 Itenez province, unknown municipality 089999 Beni department, unknown province and municipality 090101 Cobija 090102 Porvenir 090103 Bolpebra 090104 Bella Flor 090199 Nicolás Suárez province, unknown municipality 090201 Puerto Rico 090202 San Pedro 090203 Filadelfia 090299 Manuripi province, unknown municipality 090301 Puerto Gonzales Moreno 090302 San Lorenzo 090303 EL Sena 090399 Madre de Dios province, unknown municipality 090401 Santa Rosa 090402 Ingavi 090501 Nueva Esperanza 090502 Villa Nueva - Loma Alta 090503 Santos Mercado 099999 Pando department, unknown province and municipality 999999 NIU (not in universe) 020307 Nazacara de Pacajes 040502 Escara 040504 Yunguyo de Litoral 041501 La Rivera Migration: Global Variables -- PERSON Country of residence 5 years ago <span class="h3">F1. For all people</span></p> <p>34. Where did you leave 5 years ago?</p> <div class="i1">[] 1 Here [Go to question 35]<br />[] 2 Elsewhere in this country</div><div class="i2">____ City or community <br />____ Municipality<br />____ Department</div><div class="i1">[] 3 Abroad</div><div class="i2">Country name ____</div><div class="i1">[] 4 Had not been born yet</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="h3">F1. For all people</span></p> <p><span class="em">34. Usual place of residence 5 years before the census</span> <br />Usual place of residence 5 years before the census refers to the geographical location where the person documented in the census usually lived in the year 2007. The usual place of residence five years before the census may or may not be in the same place where the census interview is occurring.</p> <p>The question about usual place of residence 5 years before the census has the following multiple-choice options:</p> <div class="i1">- Here. If the usual place of residence 5 years earlier was in the place where the census interview is occurring. In this case, note down the answer and go to section F2. Only for people at least 4 years old.<br />- Elsewhere in this country. If the usual place of residence 5 years ago was in this country but not the same place where the census interview is occurring. In this case, on the appropriate lines, indicate the name of the city or community, name of the municipality, and the name of the regional department in which the person usually resided 5 years earlier.<br />- Abroad. In this case, note down the answer in the appropriate circle; then write the name of the usual country of residence 5 years before the census (2007).<br />- Had not been born yet. If the interviewee is less than 5 years old.</div> Bolivia 2012: Persons age 5+ whose residence 5 years ago was abroad [discrepancies: type I trace; type II none] This variable indicates the person's country of usual residence 5 years ago. 032 Argentina 076 Brazil 124 Canada 152 Chile 156 China 170 Colombia 192 Cuba 218 Ecuador 250 France 276 Germany 380 Italy 392 Japan 484 Mexico 600 Paraguay 604 Peru 724 Spain 752 Sweden 756 Switzerland 826 United Kingdom of Great Britain and Northern Ireland 840 United States of America 862 Bolivarian Republic of Venezuela 997 Other foreign country 998 Unknown 999 NIU (not in universe) Migration: Global Variables -- PERSON Can you read and write <span class="h3">F2. Only for people at least 4 years old</span></p> <p>35. Can you read and write?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">35. Literacy</span> <br />Literacy is defined as the ability to read and write. Bolivia 2012: Persons age 4+ [discrepancies: none] This variable indicates whether the person can read and write. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Currently attend a school <span class="h3">F2. Only for people at least 4 years old</span></p> <p>36. Do you currently attend a school?</p> <div class="i1">[] 1 Yes, a public school<br />[] 2 Yes, a private school<br />[] 3 Yes, a charter school<br />[] 4 Not attending school</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">36. School attendance</span> <br />Mark the appropriate circle or bubble. Bolivia 2012: Persons age 4+ [discrepancies: none] This variable indicates whether the person is currently attending a public, private, or charter school. 1 Yes, a public school 2 Yes, a private school 3 Yes, a charter school 4 Not attending school 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Highest level of education passed <span class="h3">F2. Only for people at least 4 years old</span></p> <p>37. What was the highest educational level that you passed? [If 1-14, go to question 39]</p> <div class="i1">[] 1 None</div><div class="i2">Grade _</div><div class="i1">[] 2 Literacy course</div><div class="i2">Grade _</div><div class="i1">[] 3 Initial (Pre-K, kindergarten)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br /> [] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">University</span><br />[] 11 Technical university education</div><div class="i2">Grade _</div><div class="i1">[] 12 Undergraduate program</div><div class="i2">Grade _</div><div class="i1">[] 13 Master's program</div><div class="i2">Grade _</div><div class="i1">[] 14 Doctoral program</div><div class="i2">Grade _</div><div class="i1"><span class="em">Non-university institution</span><br />[] 15 Teacher's College</div><div class="i2">Grade _</div><div class="i1">[] 16 Military or Police Academy</div><div class="i2">Grade _</div><div class="i1">[] 17 Technical Institute</div><div class="i2">Grade _</div><div class="i1">[] 18 Other</div><div class="i2">Grade _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">37. Highest education level reached</span> <br />This describes the educational level achieved by a person as of the date of the census. This question has two answers: one about level and one about the year or grade passed at that level. The census form breaks down the levels and grades into five groups:</p> <div class="i1">- Old system, consisting of these levels: basic (with 5 years or grades), intermediate (with 3 years or grades) and middle (with 4 years or grades).<br />- Previous system, consisting of these levels: primary (with 8 years or grades) and secondary (with 4 years or grades).<br />- Current system, consisting of these levels: primary (with 6 years or grades) and secondary (with 6 years or grades).<br />- University, consisting of education after completing high school, at any public or private university.<br /><span class="pg">[p. 17]</span><br />- Nonuniversity institution, consisting of other types of education. The first three groups capture information about formal schooling, in other words, the education that concludes with high school graduation.</div><p>The fourth group (university) captures information about higher education. If the academic terms are organized into semesters, keep the data uniform by noting down the years of studies that the person passed. For example:</p> <div class="i1">- The person replies 2nd semester. Write 1.<br />- The person replies 5th semester. Write 2.</div><p>The fifth group (nonuniversity institution) captures information about education that does not necessarily occur in a university. This group includes the option technical institute, which refers to technical studies lasting at least one year. The option 'Other' refers to short courses (hairstyling, pastry-making, computing, etc.) lasting less than one year, and so whatever the answer, mark 0 in the year box. Only if the person responds with some nonuniversity institution level and grade, continue with question 38; otherwise, go to section F3. Only for people at least 7 years old. Bolivia 2012: Persons age 4+ [discrepancies: none] This variable indicates the highest level of education the person passed. 01 None 02 Literacy course 03 Initial (Pre-K, kindergarten) 04 Basic (1 to 5 years); old system 05 Intermediate (1 to 3 years); old system 06 Middle (1 to 4 years); old system 07 Primary (1 to 8 years); previous system 08 Secondary (1 to 4 years); previous system 09 Primary (1 to 6 years); current system 10 Secondary (1 to 6 years); current system 11 Technical university education; university 12 Undergraduate program; university 13 Master's program; university 14 Doctoral program; university 15 Teachers' College; non-university institution 16 Military or Police Academy; non-university institution 17 Technical Institute; non-university institution 18 Other 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Highest level of educational attainment <span class="h3">F2. Only for people at least 4 years old</span></p> <p>37. What was the highest educational level that you passed? [If 1-14, go to question 39]</p> <div class="i1">[] 1 None</div><div class="i2">Grade _</div><div class="i1">[] 2 Literacy course</div><div class="i2">Grade _</div><div class="i1">[] 3 Initial (Pre-K, kindergarten)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br /> [] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">University</span><br />[] 11 Technical university education</div><div class="i2">Grade _</div><div class="i1">[] 12 Undergraduate program</div><div class="i2">Grade _</div><div class="i1">[] 13 Master's program</div><div class="i2">Grade _</div><div class="i1">[] 14 Doctoral program</div><div class="i2">Grade _</div><div class="i1"><span class="em">Non-university institution</span><br />[] 15 Teacher's College</div><div class="i2">Grade _</div><div class="i1">[] 16 Military or Police Academy</div><div class="i2">Grade _</div><div class="i1">[] 17 Technical Institute</div><div class="i2">Grade _</div><div class="i1">[] 18 Other</div><div class="i2">Grade _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">37. Highest education level reached</span> <br />This describes the educational level achieved by a person as of the date of the census. This question has two answers: one about level and one about the year or grade passed at that level. The census form breaks down the levels and grades into five groups:</p> <div class="i1">- Old system, consisting of these levels: basic (with 5 years or grades), intermediate (with 3 years or grades) and middle (with 4 years or grades).<br />- Previous system, consisting of these levels: primary (with 8 years or grades) and secondary (with 4 years or grades).<br />- Current system, consisting of these levels: primary (with 6 years or grades) and secondary (with 6 years or grades).<br />- University, consisting of education after completing high school, at any public or private university.<br /><span class="pg">[p. 17]</span><br />- Nonuniversity institution, consisting of other types of education. The first three groups capture information about formal schooling, in other words, the education that concludes with high school graduation.</div><p>The fourth group (university) captures information about higher education. If the academic terms are organized into semesters, keep the data uniform by noting down the years of studies that the person passed. For example:</p> <div class="i1">- The person replies 2nd semester. Write 1.<br />- The person replies 5th semester. Write 2.</div><p>The fifth group (nonuniversity institution) captures information about education that does not necessarily occur in a university. This group includes the option technical institute, which refers to technical studies lasting at least one year. The option 'Other' refers to short courses (hairstyling, pastry-making, computing, etc.) lasting less than one year, and so whatever the answer, mark 0 in the year box. Only if the person responds with some nonuniversity institution level and grade, continue with question 38; otherwise, go to section F3. Only for people at least 7 years old. Bolivia 2012: Persons age 4+ [discrepancies: none] This variable indicates the person's highest level of educational attainment. 0100 None 0201 Literacy course, year 1 0202 Literacy course, year 2 0301 Initial (Pre-K, kindergarten), year 1 0302 Initial (Pre-K, kindergarten), year 2 0401 Basic (1 to 5 years); old system, year 1 0402 Basic (1 to 5 years); old system, year 2 0403 Basic (1 to 5 years); old system, year 3 0404 Basic (1 to 5 years); old system, year 4 0405 Basic (1 to 5 years); old system, year 5 0501 Intermediate (1 to 3 years); old system, year 1 0502 Intermediate (1 to 3 years); old system, year 2 0503 Intermediate (1 to 3 years); old system, year 3 0601 Middle (1 to 4 years); old system, year 1 0602 Middle (1 to 4 years); old system, year 2 0603 Middle (1 to 4 years); old system, year 3 0604 Middle (1 to 4 years); old system, year 4 0701 Primary (1 to 8 years); previous system, year 1 0702 Primary (1 to 8 years); previous system, year 2 0703 Primary (1 to 8 years); previous system, year 3 0704 Primary (1 to 8 years); previous system, year 4 0705 Primary (1 to 8 years); previous system, year 5 0706 Primary (1 to 8 years); previous system, year 6 0707 Primary (1 to 8 years); previous system, year 7 0708 Primary (1 to 8 years); previous system, year 8 0801 Secondary (1 to 4 years); previous system, year 1 0802 Secondary (1 to 4 years); previous system, year 2 0803 Secondary (1 to 4 years); previous system, year 3 0804 Secondary (1 to 4 years); previous system, year 4 0901 Primary (1 to 6 years); current system, year 1 0902 Primary (1 to 6 years); current system, year 2 0903 Primary (1 to 6 years); current system, year 3 0904 Primary (1 to 6 years); current system, year 4 0905 Primary (1 to 6 years); current system, year 5 0906 Primary (1 to 6 years); current system, year 6 1001 Secondary (1 to 6 years); current system, year 1 1002 Secondary (1 to 6 years); current system, year 2 1003 Secondary (1 to 6 years); current system, year 3 1004 Secondary (1 to 6 years); current system, year 4 1005 Secondary (1 to 6 years); current system, year 5 1006 Secondary (1 to 6 years); current system, year 6 1101 Technical university education; university, year 1 1102 Technical university education; university, year 2 1103 Technical university education; university, year 3 1104 Technical university education; university, year 4 1201 Undergraduate program; university, year 1 1202 Undergraduate program; university, year 2 1203 Undergraduate program; university, year 3 1204 Undergraduate program; university, year 4 1205 Undergraduate program; university, year 5 1301 Master's program; university, year 1 1302 Master's program; university, year 2 1401 Doctoral program; university, year 1 1402 Doctoral program; university, year 2 1403 Doctoral program; university, year 3 1404 Doctoral program; university, year 4 1501 Teachers' college; nonuniversity institution, year 1 1502 Teachers' college; nonuniversity institution, year 2 1503 Teachers' college; nonuniversity institution, year 3 1504 Teachers' college; nonuniversity institution, year 4 1601 Military or police academy; nonuniversity institution, year 1 1602 Military or police academy; nonuniversity institution, year 2 1603 Military or police academy; nonuniversity institution, year 3 1604 Military or police academy; nonuniversity institution, year 4 1605 Military or police scademy; nonuniversity institution, year 5 1701 Technical Institute; nonuniversity institution, year 1 1702 Technical Institute; nonuniversity institution, year 2 1703 Technical Institute; nonuniversity institution, year 3 1704 Technical Institute; nonuniversity institution, year 4 1800 Other 9998 Unknown 9999 NIU (not in universe) Education Variables -- PERSON Level of education passed to access non-university institution <span class="h3">F2. Only for people at least 4 years old</span></p> <p>37. What was the highest educational level that you passed? [If 1-14, go to question 39]</p> <div class="i1">[] 1 None</div><div class="i2">Grade _</div><div class="i1">[] 2 Literacy course</div><div class="i2">Grade _</div><div class="i1">[] 3 Initial (Pre-K, kindergarten)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br /> [] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">University</span><br />[] 11 Technical university education</div><div class="i2">Grade _</div><div class="i1">[] 12 Undergraduate program</div><div class="i2">Grade _</div><div class="i1">[] 13 Master's program</div><div class="i2">Grade _</div><div class="i1">[] 14 Doctoral program</div><div class="i2">Grade _</div><div class="i1"><span class="em">Non-university institution</span><br />[] 15 Teacher's College</div><div class="i2">Grade _</div><div class="i1">[] 16 Military or Police Academy</div><div class="i2">Grade _</div><div class="i1">[] 17 Technical Institute</div><div class="i2">Grade _</div><div class="i1">[] 18 Other</div><div class="i2">Grade _</div><p>38. To access that level, what level and year of schooling did you pass?</p> <div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br />[] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">37. Highest education level reached</span> <br />This describes the educational level achieved by a person as of the date of the census. This question has two answers: one about level and one about the year or grade passed at that level. The census form breaks down the levels and grades into five groups:</p> <div class="i1">- Old system, consisting of these levels: basic (with 5 years or grades), intermediate (with 3 years or grades) and middle (with 4 years or grades).<br />- Previous system, consisting of these levels: primary (with 8 years or grades) and secondary (with 4 years or grades).<br />- Current system, consisting of these levels: primary (with 6 years or grades) and secondary (with 6 years or grades).<br />- University, consisting of education after completing high school, at any public or private university.<br /><span class="pg">[p. 17]</span><br />- Nonuniversity institution, consisting of other types of education. The first three groups capture information about formal schooling, in other words, the education that concludes with high school graduation.</div><p>The fourth group (university) captures information about higher education. If the academic terms are organized into semesters, keep the data uniform by noting down the years of studies that the person passed. For example:</p> <div class="i1">- The person replies 2nd semester. Write 1.<br />- The person replies 5th semester. Write 2.</div><p>The fifth group (nonuniversity institution) captures information about education that does not necessarily occur in a university. This group includes the option technical institute, which refers to technical studies lasting at least one year. The option 'Other' refers to short courses (hairstyling, pastry-making, computing, etc.) lasting less than one year, and so whatever the answer, mark 0 in the year box. Only if the person responds with some nonuniversity institution level and grade, continue with question 38; otherwise, go to section F3. Only for people at least 7 years old. Bolivia 2012: Persons whose highest level of education passed was at a non-university institution [discrepancies: none] This variable indicates the highest level of education the person passed to access a non-university institution. 01 Basic (1 to 5 years); old system 02 Intermediate (1 to 3 years); old system 03 Middle (1 to 4 years); old system 04 Primary (1 to 8 years); previous system 05 Secondary (1 to 4 years); previous system 06 Primary (1 to 6 years); current system 07 Secondary (1 to 6 years); current system 09 Unknown 99 NIU (not in universe) Education Variables -- PERSON Level of educational attainment to access non-university institution <span class="h3">F2. Only for people at least 4 years old</span></p> <p>37. What was the highest educational level that you passed? [If 1-14, go to question 39]</p> <div class="i1">[] 1 None</div><div class="i2">Grade _</div><div class="i1">[] 2 Literacy course</div><div class="i2">Grade _</div><div class="i1">[] 3 Initial (Pre-K, kindergarten)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br /> [] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">University</span><br />[] 11 Technical university education</div><div class="i2">Grade _</div><div class="i1">[] 12 Undergraduate program</div><div class="i2">Grade _</div><div class="i1">[] 13 Master's program</div><div class="i2">Grade _</div><div class="i1">[] 14 Doctoral program</div><div class="i2">Grade _</div><div class="i1"><span class="em">Non-university institution</span><br />[] 15 Teacher's College</div><div class="i2">Grade _</div><div class="i1">[] 16 Military or Police Academy</div><div class="i2">Grade _</div><div class="i1">[] 17 Technical Institute</div><div class="i2">Grade _</div><div class="i1">[] 18 Other</div><div class="i2">Grade _</div><p>38. To access that level, what level and year of schooling did you pass?</p> <div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br />[] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">37. Highest education level reached</span> <br />This describes the educational level achieved by a person as of the date of the census. This question has two answers: one about level and one about the year or grade passed at that level. The census form breaks down the levels and grades into five groups:</p> <div class="i1">- Old system, consisting of these levels: basic (with 5 years or grades), intermediate (with 3 years or grades) and middle (with 4 years or grades).<br />- Previous system, consisting of these levels: primary (with 8 years or grades) and secondary (with 4 years or grades).<br />- Current system, consisting of these levels: primary (with 6 years or grades) and secondary (with 6 years or grades).<br />- University, consisting of education after completing high school, at any public or private university.<br /><span class="pg">[p. 17]</span><br />- Nonuniversity institution, consisting of other types of education. The first three groups capture information about formal schooling, in other words, the education that concludes with high school graduation.</div><p>The fourth group (university) captures information about higher education. If the academic terms are organized into semesters, keep the data uniform by noting down the years of studies that the person passed. For example:</p> <div class="i1">- The person replies 2nd semester. Write 1.<br />- The person replies 5th semester. Write 2.</div><p>The fifth group (nonuniversity institution) captures information about education that does not necessarily occur in a university. This group includes the option technical institute, which refers to technical studies lasting at least one year. The option 'Other' refers to short courses (hairstyling, pastry-making, computing, etc.) lasting less than one year, and so whatever the answer, mark 0 in the year box. Only if the person responds with some nonuniversity institution level and grade, continue with question 38; otherwise, go to section F3. Only for people at least 7 years old. Bolivia 2012: Persons whose highest level of education passed was at a non-university institution [discrepancies: none] This variable indicates the highest level of education the person attained to access a non-university institution. 11 Basic (1 to 5 years); old system, year 1-3 14 Basic (1 to 5 years); old system, year 4 15 Basic (1 to 5 years); old system, year 5 21 Intermediate (1 to 3 years); old system, year 1 22 Intermediate (1 to 3 years); old system, year 2 23 Intermediate (1 to 3 years); old system, year 3 31 Middle (1 to 4 years); old system, year 1 32 Middle (1 to 4 years); old system, year 2 33 Middle (1 to 4 years); old system, year 3 34 Middle (1 to 4 years); old system, year 4 41 Primary (1 to 8 years); previous system, year 4-6 44 Primary (1 to 8 years); previous system, year 7-10 48 Primary (1 to 8 years); previous system, year 11 51 Secondary (1 to 4 years); previous system, year 1 52 Secondary (1 to 4 years); previous system, year 2 53 Secondary (1 to 4 years); previous system, year 3 54 Secondary (1 to 4 years); previous system, year 4 61 Primary (1 to 6 years); current system, year 1 62 Primary (1 to 6 years); current system, year 2 63 Primary (1 to 6 years); current system, year 3 64 Primary (1 to 6 years); current system, year 4 65 Primary (1 to 6 years); current system, year 5 66 Primary (1 to 6 years); current system, year 6 71 Secondary (1 to 6 years); current system, year 1 72 Secondary (1 to 6 years); current system, year 2 73 Secondary (1 to 6 years); current system, year 3 74 Secondary (1 to 6 years); current system, year 4 75 Secondary (1 to 6 years); current system, year 5 76 Secondary (1 to 6 years); current system, year 6 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Worked last week <span class="h3">F3. Only for people at least 7 years old</span></p> <p>39. Did you work in the last week?</p> <div class="i1">[] 1 Yes [Go to question 42]<br />[] 2 No</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p>The criteria for collecting economic data about the population are:</p> <div class="i1">- Minimum age: 7<br />- Reference period: the week before Census Day</div><p>The population's economic characteristics being researched in the census are the type of activity, the principal occupation, the branch of economic activity, and the occupational category or job position (see Appendix).</p> <p><span class="em">39, 40, 41. Type of activity</span> <br />The type of activity defines the person's relationship with the activity the person performed in the week before Census Day. Depending on the type of activity, the person may be economically active or economically inactive. However, people who were economically active and had work in the week before Census Day are considered employed people, and if they are seeking work they are unemployed people. The reference period is the week before Census Day. Questions 39, 40, and 41 allow us to identify, first of all, the economically active population and economically inactive population; then, among the economically active people, we can identify the employed people and unemployed people; among the unemployed people we can distinguish between people seeking work who had worked before the reference week and people seeking work for the first time; and lastly, among the economically inactive people, the questions let us identify homemakers and full-time students, as well as retirees, pensioners, and annuitants. Read out the multiple choices for questions 40 and 41 in order until you get an affirmative response. When this happens, go to the question indicated as the next one. Bolivia 2012: Persons age 7+ [discrepancies: none] This variable indicates whether the person worked during the week before the enumeration date. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Activity last week <span class="h3">F3. Only for people at least 7 years old</span></p> <p>40. In the last week, did you...?</p> <div class="i1">[] 1 Have work but did not work because you were on leave, on vacation, sick, or lacked materials [Go to question 42]<br />[] 2 Serve or assist in agricultural growing or in raising livestock [Go to question 42]<br />[] 3 Serve or assist in a family business or your own business [Go to question 42]<br />[] 4 Perform any activity for income [Go to question 42]<br />[] 5 Not work</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p>The criteria for collecting economic data about the population are:</p> <div class="i1">- Minimum age: 7<br />- Reference period: the week before Census Day</div><p>The population's economic characteristics being researched in the census are the type of activity, the principal occupation, the branch of economic activity, and the occupational category or job position (see Appendix).</p> <p><span class="em">39, 40, 41. Type of activity</span> <br />The type of activity defines the person's relationship with the activity the person performed in the week before Census Day. Depending on the type of activity, the person may be economically active or economically inactive. However, people who were economically active and had work in the week before Census Day are considered employed people, and if they are seeking work they are unemployed people. The reference period is the week before Census Day. Questions 39, 40, and 41 allow us to identify, first of all, the economically active population and economically inactive population; then, among the economically active people, we can identify the employed people and unemployed people; among the unemployed people we can distinguish between people seeking work who had worked before the reference week and people seeking work for the first time; and lastly, among the economically inactive people, the questions let us identify homemakers and full-time students, as well as retirees, pensioners, and annuitants. Read out the multiple choices for questions 40 and 41 in order until you get an affirmative response. When this happens, go to the question indicated as the next one. Bolivia 2012: Persons age 7+ who did not work last week [discrepancies: none] This variable indicates the non-work activity status persons who did not work during the week before the enumeration date. 1 Have a job but did not work because on leave or vacation, sick, or due to lack of materials 2 Serve or assist in agricultural growing or in raising livestock 3 Serve or assist in a family business or your own business 4 Perform any activity for income 5 Didn't work 9 NIU (not in universe) Work Variables -- PERSON Looking for work or inactive <span class="h3">F3. Only for people at least 7 years old</span></p> <p>41. During the past week, were you... ?</p> <div class="i1">[] 1 Seeking work, having worked before [Go to question 45]<br />[] 2 Seeking work for the first time [Go to question 45]<br />[] 3 A student [Go to question 45]<br />[] 4 A homemaker [Go to question 45]<br />[] 5 Retired, a pensioner, or an annuitant [Go to question 45]<br />[] 6 Other [Go to question 45]</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p>The criteria for collecting economic data about the population are:</p> <div class="i1">- Minimum age: 7<br />- Reference period: the week before Census Day</div><p>The population's economic characteristics being researched in the census are the type of activity, the principal occupation, the branch of economic activity, and the occupational category or job position (see Appendix).</p> <p><span class="em">39, 40, 41. Type of activity</span> <br />The type of activity defines the person's relationship with the activity the person performed in the week before Census Day. Depending on the type of activity, the person may be economically active or economically inactive. However, people who were economically active and had work in the week before Census Day are considered employed people, and if they are seeking work they are unemployed people. The reference period is the week before Census Day. Questions 39, 40, and 41 allow us to identify, first of all, the economically active population and economically inactive population; then, among the economically active people, we can identify the employed people and unemployed people; among the unemployed people we can distinguish between people seeking work who had worked before the reference week and people seeking work for the first time; and lastly, among the economically inactive people, the questions let us identify homemakers and full-time students, as well as retirees, pensioners, and annuitants. Read out the multiple choices for questions 40 and 41 in order until you get an affirmative response. When this happens, go to the question indicated as the next one. Bolivia 2012: Persons age 7+ who did not work or engage in any productive activity last week [discrepancies: none] This variable indicates whether the person was looking for work during the week before the enumeration date. 1 Seeking work, having worked before 2 Seeking work for the first time 3 A student 4 A homemaker 5 Retired, a pensioner, or an annuitant 6 Other 9 NIU (not in universe) Work Variables -- PERSON Occupation (3 digit) <span class="h3">F3. Only for people at least 7 years old</span></p> <p>42. What was your principal occupation, job, or trade in the last week? ____</p> <div class="i1">(For example, write: mine driller, auto mechanic, grocer, primary school teacher, call-shop operator, etc.)</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p>The criteria for collecting economic data about the population are:</p> <div class="i1">- Minimum age: 7<br />- Reference period: the week before Census Day</div><p>The population's economic characteristics being researched in the census are the type of activity, the principal occupation, the branch of economic activity, and the occupational category or job position (see Appendix).</p> <p><span class="em">42. Principal occupation</span> <br />The principal occupation, job, or trade means the type of work the employed person performed in the week before Census Day. The question about the principal occupation is an open-ended question, and the answer should be written down as clearly as possible in the appropriate line. For example, mine driller, auto mechanic, grocer, primary school teacher, call-shop operator. Bolivia 2012: Persons age 7+ who worked or were engaged in any productive activity last week [discrepancies: none] This variable indicates the person's main occupation (3 digit). 010 Commissioned armed forces officers 030 Armed forces occupations, other ranks 099 Armed forces, not specified 100 Managers 111 Legislators and senior officials 112 Managing directors and chief executives 121 Business services and administration managers 131 Production managers in agriculture, forestry and fisheries 132 Manufacturing, mining, construction, and distribution managers 133 Information and communications technology service managers 134 Professional services managers 140 Hospitality, retail and other services managers 141 Hotel and restaurant managers 142 Retail and wholesale trade managers 143 Other services managers 199 Managers, not elsewhere classified 200 Professionals 210 Science and engineering professionals 211 Physical and earth science professionals 213 Life science professionals 214 Engineers and related professionals 215 Architects and related professionals 220 Health professionals 221 Medical doctors 222 Nursing and midwifery professionals 224 Veterinarians 225 Other health professionals 230 Teaching professionals 231 University and higher education teachers 232 Vocational education teachers 233 Secondary education teachers 234 Primary school and early childhood teachers 235 Other teaching professionals 241 Finance professionals 242 Administration professionals 243 Sales, marketing and public relations professionals 251 Software and applications developers and analysts 252 Database and network professionals 261 Legal professionals 262 Humanities professionals 263 Social and religious professionals 264 Authors, journalists and linguists 265 Creative and performing artists 299 Professional, not elsewhere classified 300 Technicians and associate professionals 311 Physical and engineering science technicians 312 Mining, manufacturing and construction supervisors 313 Process control technicians 314 Life science technicians and related associate professionals 315 Ship and aircraft controllers and technicians 320 Health associate professionals 321 Medical and pharmaceutical technicians 322 Nursing and midwifery associate professionals 323 Traditional and alternative medicine associate professionals 324 Veterinary technicians and assistants 325 Other health associate professionals 330 Business and administration associate professionals 331 Financial and mathematical associate professionals 332 Sales and purchasing agents and brokers 333 Business services agents 334 Administrative and specialised secretaries 335 Regulatory government associate professionals 341 Legal, social and religious associate professionals 342 Sports and fitness workers 343 Artistic, cultural and culinary associate professionals 350 Information and communications technicians 351 Information and communications technology operations and user support technicians 352 Telecommunications and broadcasting technicians 399 Technicians and associate professionals, not elsewhere classified 400 Clerical support workers 410 General and keyboard clerks 411 General office clerks 412 Office machine operators 420 Customer services clerks 421 Tellers, money collectors and related clerks 422 Client information workers 431 Numerical clerks 432 Material-recording and transport clerks 441 Other clerical support workers 499 Clerical support workers, not elsewhere classified 500 Service and sales workers 510 Personal service workers 511 Travel attendants, conductors and guides 512 Cooks 513 Waiters and bartenders 514 Hairdressers, beauticians and related workers 515 Building and housekeeping supervisors 516 Other personal services workers 520 Sales workers 521 Stall and market salespersons 522 Shop salespersons 523 Cashiers and ticket clerks 524 Other sales workers 525 Street vendors 530 Personal care workers 531 Child care workers and teachers' aides 541 Protective services workers 600 Argicultural, forestry, and fishery workers 610 Agricultural workers 620 Animal husbandry breeders and workers 631 Forestry workers 632 Fishery workers, hunters, and trappers 700 Craft and related trades workers 710 Building and related trades workers, excluding electricians 711 Building frame and related trades workers 712 Building finishers and related trades workers 713 Painters, building structure cleaners and related trades workers 720 Metal, machinery and related trades workers 721 Sheet and structural metal workers, moulders and welders, and related workers 722 Blacksmiths, toolmakers and related trades workers 723 Machinery mechanics and repairers 730 Handicraft and printing workers 731 Precision-instrument makers, musical instrument makers, and jewelers 732 Potters, glass makers, and related workers 733 Handicraft workers in wood, fabrics, leather, and other materials 734 Printing trades and related workers 740 Electrical and electronic trades workers 741 Electrical equipment installers and repairers 742 Electronics and telecommunications installers and repairers 750 Food processing, wood working, garment and other craft and related trades workers 751 Food processing and related trades workers 752 Wood treaters, cabinet-makers and related trades workers 753 Garment and related trades workers 754 Footwear and leather and fur goods makers and related workers 755 Mineral extraction workers 756 Other craft trades workers 800 Plant and machine operators, and assemblers 810 Stationary plant and machine operators 811 Mining and mineral processing plant operators 813 Chemical and photographic products plant and machine operators 814 Rubber, plastic and paper products machine operators 815 Textile, fur and leather products machine operators 816 Food and related products machine operators 817 Wood processing and papermaking plant operators 818 Other stationary plant and machine operators 820 Assemblers 830 Drivers and mobile plant operators 832 Car, van and motorcycle drivers 833 Heavy truck and bus drivers 834 Mobile plant operators 835 Ships' deck crews and related workers 899 Plant and machine operators, and assemblers, not elsewhere classified 900 Elementary occupations 910 Cleaners and helpers 911 Domestic, hotel and office cleaners and helpers 912 Vehicle, window, laundry and other hand cleaning workers 921 Agricultural, forestry and fishery labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport and storage labourers 941 Food preparation assistants 951 Street and related service workers 961 Refuse workers 962 Other elementary workers 990 Elementary occupations, not elsewhere classified 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation (5 digit) <span class="h3">F3. Only for people at least 7 years old</span></p> <p>42. What was your principal occupation, job, or trade in the last week? ____</p> <div class="i1">(For example, write: mine driller, auto mechanic, grocer, primary school teacher, call-shop operator, etc.)</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p>The criteria for collecting economic data about the population are:</p> <div class="i1">- Minimum age: 7<br />- Reference period: the week before Census Day</div><p>The population's economic characteristics being researched in the census are the type of activity, the principal occupation, the branch of economic activity, and the occupational category or job position (see Appendix).</p> <p><span class="em">42. Principal occupation</span> <br />The principal occupation, job, or trade means the type of work the employed person performed in the week before Census Day. The question about the principal occupation is an open-ended question, and the answer should be written down as clearly as possible in the appropriate line. For example, mine driller, auto mechanic, grocer, primary school teacher, call-shop operator. Bolivia 2012: Persons age 7+ who worked or were engaged in any productive activity last week [discrepancies: none] This variable indicates the person's main occupation (5 digit). 01000 Commissioned armed forces officers 03099 Other armed forces members not elsewhere classified 09999 Armed forces, not specified 10000 Managers of government bodies and companies 11100 Members of executive, legislative, judicial and electoral bodies; chief executives; other government and business managerial staff and related professionals 11103 Members of the judicial branch (supreme court judges) 11105 Senior public administration staff (director generals, regional directors) 11107 Senior municipal government staff 11110 Leaders, business owner and workers organizations 11199 Legislators and senior officials, not elsewhere classified 11200 Company chief executives and managing directors 11203 Chief executives or managing directors of manufacturing companies 11211 Chief executives or managing directors of financial and insurance companies 11299 Other chief executives or managing directors of companies or organizations not elsewhere classified 12100 Division directors, managers or heads 12101 Finance, accounting, budget and administration managers or heads 12102 Staff, human resources and labor relations managers or heads 12104 Sales and marketing managers or heads 12107 Warehouse, inventory, and distribution managers or heads 12111 Quality control managers or heads 12199 Other managers or heads not elsewhere classified 13101 Crop managers or administrators 13102 Livestock managers or administrators 13199 Production managers in agriculture, forestry and fisheries, not elsewhere classified 13201 Manufacturing managers or administrators 13202 Mining managers or administrators 13203 Construction managers or administrators 13300 Telephony, internet, and other telecommunications managers or administrators 13401 Children, young people, and adult social assistance managers or administrators 13402 Health services managers or administrators 13403 Education managers or administrators 13404 Financial and insurance services managers or administrators 13499 Professional services managers or administrators not elsewhere classified 14000 Hospitality, retail, and other services managers or administrators for small and medium-sized companies 14101 Hotel managers or administrators 14102 Restaurant managersor administrators (restaurants, boarding houses, bars) 14200 Retail and wholesale managers or administrators 14300 Other services managers or administrators 14301 Automotive and motorcycle repair managers or administrators 14305 Real estate, business, and rental services managers or administrators 14306 Sports, recreation, and cultural organization managers or administrators 14307 Transport managers or administrators 14308 Personal care, cleaning, and related services managers or administrators (beauty salon, cleaning company) 14399 Other service managers or administrators not elsewhere classified 19999 Managers, not elsewhere classified 20000 Scientific and intellectual professionals 21000 Science and engineering professionals (pure, natural, and geological scientists, architects, engineers) 21103 Chemists 21199 Physical and earth science professionals, not elsewhere classified 21301 Biologists, botanists, zoologists, entomologists, ornithologists, and related professionals 21302 Biochemists and related professionals 21303 Agronomists 21304 Environmental professionals 21400 Engineers and related professionals 21401 Civil engineers 21402 Electrical engineers 21403 Electronics engineers 21404 Mechanical engineers 21405 Chemical engineers 21406 Mining engineers, petroleum engineers, and related professionals 21499 Other engineers and related professionals not elsewhere classified 21501 Architects and related professionals 21503 Graphic and multimedia designers 21599 Architects and related professionals, not elsewhere classified 22000 Health professionals 22101 Generalist and specialist medical practitioners 22199 Medical doctors, not elsewhere classified 22201 Nursing professionals 22400 Veterinarians (veterinary medicine) 22501 Odontologists and dentists 22502 Pharmacists (pharmacy manager) 22503 Physiotherapists 22504 Nutritionists and dietitians 22599 Other health professionals, not elsewhere classified 23000 Teaching professionals 23100 University and higher education teachers 23101 University and related teachers 23102 Non-university and certificate program teachers (teaching colleges) 23200 Vocational education teachers 23300 Secondary education teachers 23400 Primary school and early education teachers 23401 Primary school teachers (primary school) 23402 Early childhood educators (pre-k, kindergarten) 23501 Education methods specialists 23502 Education inspectors 23503 Special needs teachers 23504 Language teachers outside the education system 23505 Music teachers outside the education system 23507 Voice, dance, and other arts teachers 23508 Information technology trainers (computing, etc.) 23510 Gymnastics, martial arts, yoga teachers or trainers, etc. 23599 Other teachers, instructors, and trainers not elsewhere classified 24100 Finance professionals 24101 Auditors (public accounting) 24102 Accountants 24199 Other financial and related professionals not elsewhere classified 24200 Administration professionals 24301 Advertising and marketing professionals 24302 Public relations professionals 24399 Sales, marketing and public relations professionals, not elsewhere classified 25101 Systems analysts 25102 Software developers 25199 Software and applications developers and analysts, not elsewhere classified 25200 Database and network professionals 26101 Lawyers 26103 Judges 26199 Other legal professionals not elsewhere classified 26204 Psychologists 26208 Translators 26299 Humanities professionals, not elsewhere classified 26301 Economists 26305 Social workers 26306 Communications professionals (journalists) 26307 Religious professionals 26399 Social and religious professionals, not elsewhere classified 26400 Writers 26500 Creative and performing artists 26501 Visual artists (sculptors, painters, cartoonists, and related professionals) 26509 Film, stage, and related actors 26510 Radio, television, and other media presenters 26599 Other creative and performing artists not elsewhere classified 29999 Professionals, not elsewhere classified 30000 Technicians and associate professionals 31100 Physics, chemistry, geology, engineering and related technicians and associate professionals 31103 Chemistry technicians 31106 Civil engineering technicians (contractor, topographer, builder) 31107 Electrical engineering technicians 31108 Electronics engineering technicians 31109 Mechanical engineering technicians 31111 Mining, petroleum, and metallurgical technicians 31112 Draughtspeople and drafting technicians 31113 Sound engineering technicians 31199 Other engineering technicians not elsewhere classified 31200 Mining, manufacturing and construction supervisors 31201 Mining supervisors (safety inspector) 31202 Manufacturing supervisors (quality control supervisors) 31203 Construction supervisors (construction inspector) 31303 Water treatment plant and related operators 31305 Petroleum and natural gas refining plant operators 31399 Process control technicians, not elsewhere classified 31402 Agriculture technicians (agricultural developer) 31403 Forestry technicians 31499 Other life sciences technicians (biology, agronomy, animal science) not elsewhere classified 31503 Aircraft pilots and related technicians 31599 Other ship and aircraft technicians not elsewhere classified 32000 Health associate professionals 32101 Medical imaging and therapeutic equipment technicians (radiologists) 32102 Medical laboratory technician 32103 Medical and dental prosthetic technicians (denturists) 32104 Pharmaceutical technicians and assistants 32200 Nursing and midwifery associate professionals 32300 Traditional and alternative medicine associate professionals 32400 Veterinary technicians and assistants 32501 Dental assistants 32503 Community health workers (community health promoters, vaccinators) 32504 Optometry and optical technicians 32505 Physiotherapy technicians and assistants 32506 Medical assistants 32507 Environmental and occupational health inspectors and related associate professionals 32508 Biochemistry and pharmacy technicians 32510 Dietitian and nutrition technicians 32511 Vector and sprayer technicians 32599 Other health technicians not elsewhere classified 33000 Financial and administrative associate professionals 33100 Financial and mathematical associate professionals 33102 Credit and loan officers 33104 Statistical, mathematical, and related associate professionals 33199 Financial and mathematical associate professionals, not elsewhere classified 33200 Sales agents and brokers 33201 Insurance agents 33202 Commercial sales representatives and technicians (medical representative, salespeople, etc.) 33203 Buyers 33299 Other business services agents not elsewhere classified 33301 Clearing and forwarding agents 33302 Conference and event organizers 33303 Employment agents and contractors 33304 Real estate agents 33305 Travel agents 33399 Other business services agents not elsewhere classified 33401 Legal secretaries 33402 Executive secretaries 33499 Administrative and related associate professionals not elsewhere classified 33500 Government regulatory associate professionals and related associate professionals 33501 Customs and border inspectors (customs agents) 33502 Tax officials (tax inspectors) 33505 Police inspectors and detectives 33599 Other government regulatory associate professionals not elsewhere classified (police office) 34101 Legal services associate professionals (clerks, process servers, paralegals) 34102 Social work associate professionals (social assistants, facilitators, and promoters) 34103 Religious associate professionals 34201 Athletes, sports players, and related workers 34202 Sports coaches, instructors, and officials 34300 Artistic, cultural, and culinary associate professionals 34301 Photographers 34302 Interior designers and decorators; excluding graphic design associate professionals 34303 Graphic design associate professionals 34305 Chefs 34307 Singers 34308 String musicians 34312 Entertainers at public events (disk jockeys) 34313 Clowns, fortunetellers, acrobats, and related entertainers (puppeteers, magicians, etc.) 34399 Other artistic and cultural occupations not elsewhere classified 35000 Information and communications technicians 35100 Information and communications technology (ict) operations and user support technicians 35101 Information and communications technology (ict) operations technicians 35102 Information and communications technology (ict) user support technicians (customer service staff in internet cafes) 35199 Other ict technicians not elsewhere classified 35200 Telecommunications and broadcasting technicians 35201 Broadcasting and audiovisual technicians (camera operators and related technicians) 35202 Telecommunications engineering technicians 39999 Technicians and associate professionals, not elsewhere classified 40000 Office workers 41000 Administrative office workers 41100 General office clerks 41200 Office machine operators 42000 Customer service clerks 42100 Tellers, money collectors, and related clerks 42101 Tellers and related clerks 42102 Bookmakers and related workers 42103 Moneylenders 42104 Debt collectors and related workers 42200 Client information workers 42202 Contact center information clerks 42203 Telephone switchboard operators 42204 Hotel receptionists 42206 Receptionists 42207 Survey and market research interviewers 42299 Client information workers not elsewhere classified 43100 Accounting assistants, finance assistants, and related workers 43101 Accounting and cost computing clerks 43102 Statistical, finance, and insurance clerks 43200 Material recording and transport clerks 43201 Stock and inventory clerks (stock clerk, inventory control, etc.) 43202 Production clerks 43203 Transport clerks (dispatcher, cargo records clerks) 44101 Library clerks (librarian) 44102 Mail carriers and sorting clerks (mail sorter, mail carrier) 44105 Filing and copying clerks 44199 Other clerical support workers, not elsewhere classified 49999 Clerical support workers, not elsewhere classified 50000 Services and sales workers 51000 Personal protection and security workers 51102 Transport conductors 51103 Travel, tourism, and related guides (museum guides) 51200 Cooks 51300 Waiters and related workers 51400 Barbers, beauticians, and related workers 51401 Barbers and hairdressers 51402 Beauticians and related workers (manicurists, makeup artists) 51501 Cleaning and housekeeping supervisors in offices,hotels, and other establishments 51502 Domestic housekeepers 51503 Caretakers 51602 Companions and valets (assistants to seniors, people with disabilities, etc.) 51699 Other personal services workers not elsewhere classified 52000 Salespersons, demonstrators, and models 52100 Stall and market salespersons 52101 Stall and market salespersons (kiosk salespersons, market stalls and mobile stalls) 52200 Shop salespersons 52201 Shop salespersons 52202 Shop supervisors 52203 Shop sales assistants 52300 Cashiers and ticket clerks 52401 Fashion, artist's, and advertising models 52402 Demonstrators and merchandisers 52403 Door-to-door salespeople 52405 Service station attendants 52499 Sales workers not elsewhere classified 52500 Street vendors 52501 Street vendors of edible goods 52502 Street vendors of non-edible goods 53101 Child care workers and teacher's aides (nanny) 53102 Heads of educational centers 53201 Institution-based personal care workers (nurse assistants, housekeepers) 53202 Home-based personal care workers (home-based senior health aid) 54100 Protective services workers 54101 Firefighters 54102 Police officers 54103 Deputy police officers 54105 Private security guard 54199 Other protective services workers not elsewhere classified 59999 Service and sales workers, not elsewhere classified 60000 Argicultural, forestry, and fishery workers 61000 Crop growers and animal producers 61001 Cereal growers (rice, wheat, corn, etc.) 61002 Oilseed growers (soy, sunflower, peanut, cottonseed, etc.) 61003 Saccharin growers (sugar cane, stevia, sugar beets, etc.) 61004 Dried legume growers (beans, lentils, tarwi, etc.) 61005 Forage crop growers (for grazing or hay making) 61006 Tuber and root crop growers (potato, oca, sweet potato, maca, etc.) 61007 Vegetable growers (root vegetables, leafy vegetables, fruits, flowers, bulbs, etc.) 61008 Fresh or green legume growers (peas, green beans, etc.) 61009 Flower and ornamental plant growers 61010 Coffee, cacao, and tea growers 61011 Coca growers 61012 Spice, aromatic and medicinal plant growers 61013 Greenhouse and nursery growers 61099 Other agricultural works not elsewhere classified 62000 Animal producers 62001 Bovine producers (oxen, cows, bulls, calves, bison, etc.) 62002 Ovine, caprine, or equine producers (sheep, goats, kids, etc.) 62003 Camelid producers (llamas, alpacas, etc.) 62004 Porcine producers (pigs) 62005 Poultry producers (hens, ducks, chickens, etc.) 62009 Apiarists or beekeepers 62011 Animal production supervisors 62099 Other animal producers not elsewhere classified 63100 Forestry workers (rubber tappers, coal producers, and wood cutters) 63200 Fishery workers, hunters, and trappers 63201 Aquaculture workers (aquatic species producers) 63202 Inland and coastal waters fishery workers 70000 Building, manufacturing, and other trades workers 71000 Building workers 71101 Bricklayers, house builders, reinforced concrete placer, and related trades workers 71103 Carpenters and joiners 71199 Other building frame and related trades workers not elsewhere classified 71202 Floor layers and tile setters 71203 Plasterers 71204 Insulation workers (electrical, insulation, soundproofing installers) (construction electrician) 71205 Glaziers 71206 Plumbers and pipe fitters 71207 Air conditioning and refrigeration mechanics 71299 Building finishers and related trades workers, not elsewhere classified 71301 Painters and paperhangers 71302 Varnishers and related trades workers 72000 Metal, machinery, and related trades workers 72102 Welders and flame cutters 72103 Sheet metal workers and boilermakers (tinsmith) 72104 Structural metal preparers (locksmiths) 72199 Sheet and structural metal workers, moulders and welders, and related workers, not elsewhere classified 72201 Blacksmiths and lathe operators 72202 Toolmakers and related workers (manufacturers, repairers, locks, keys, etc.) 72299 Blacksmiths, toolmakers and related trades workers, not elsewhere classified 72300 Machinery mechanics and repairers 72301 Motor vehicle mechanics and repairers (auto mechanics, tire technicians) 72303 Agricultural and industrial machinery mechanics and repairers 72304 Bicycle and related repairers 72399 Other machine mechanics and repairers not elsewhere classified 73000 Precision-instrument makers, potters, handicraft workers, printing workers and related workers 73101 Precision-instrument makers and repairers (makers and repairers of scales, watches, etc.) 73103 String instrument makers and tuners (guitars, charangos, mandolins, pianos, etc.) 73105 Jewelers, goldsmiths, and silversmiths 73199 Precision-instrument makers, musical instrument makers, and jewelers, not elsewhere classified 73201 Potters and related workers (brick makers) 73202 Glass blowers, moulders, shapers, cutters, and grinders 73203 Signwriters, decorative painters, engravers and etchers 73300 Handicraft workers in wood, textile, leather, and other materials 73301 Handicraft workers in wood and related materials 73302 Handicraft workers in leather and imitation leather 73303 Handicraft workers in fabric, textile, and other related materials 73304 Handicraft workers in bronze, copper, pewter, and other alloys 73305 Handicraft workers in ceramics, clay, and similar materials (cold porcelain, etc.) 73306 Handicraft works in straw, palm, and other woven materials (basketry) 73399 Handicraft workers in other materials not elsewhere classified (soap, sponge, paper, cork, glass, plastic, recyclable materials, etc.) 73402 Printers 73403 Bookbinders, collators, and related workers 73499 Other printing trades workers not elsewhere classified 74000 Electrical and electronics trades workers 74101 Electrical mechanics and fitters 74102 Electrical line installers and repairers 74201 Electronics mechanics and servicers (radio technician) 74202 Information and communications technology installers and servicers 75000 Food processing, wood working, garment and other craft and related trades workers 75100 Food, beverage, and tobacco processing workers 75101 Butchers (slaughterers, 75102 Bakers, pastry-cooks and confectionery makers (baker, pastry chef, confectioner) 75103 Dairy products makers (cheese makers) 75104 Fruit, vegetable, tuber, cereal and related preservers (roasters, , dehydrators, etc.) 75105 Beverage makers 75106 Tobacco products makers 75199 Other food processing workers not elsewhere classified 75201 Wood treaters 75202 Carpenters, cabinetmakers, and related trades workers (furniture makers) 75203 Basket makers and related workers (basket, brush makers, etc.) 75299 Other wood treaters, carpenters, cabinetmakers, and related trades workers not elsewhere classified 75301 Fiber preparers 75302 Spinners and hand and loom weavers (aguayos, blankets, rugs, excepting wearable garments) 75303 Garment and accessory knitters 75304 Tailors, dressmakers, and other garment makers 75305 Hatters 75307 Sewing, embroidery, and related workers 75308 Upholsterers and related workers 75399 Other garment and related trades workers 75401 Pelt dressers, tanners, and fellmongers 75402 Shoemakers (shoemakers and cobblers) 75403 Saddlers, leather workers, and related workers 75499 Other footwear and leather and fur goods makers and related workers not elsewhere classified 75501 Miners (palliri, blaster, reactivero, loader, grinder, etc.) 75502 Miners (stone, gravel, sand, clay, chalk) 75599 Other miners using manual tools not elsewhere classified 75600 Other craft trades workers 79999 Craft and related trades workers, not elsewhere classified 80000 Plant and machine operators and assemblers 81000 Stationary plant or machine operators and related workers 81100 Miners and mining and mineral processing plant operators 81101 Mining and mineral plant operators (drill operators, compressors) 81102 Rock and mineral processing plant operators 81103 Well drillers, borers, and related workers 81104 Cement, lime, and clay machine operators 81105 Precast concrete, cement, and clay machine operators 81300 Chemical and photographic products plant and machine operators 81402 Plastic products machine operators 81403 Paper products machine operators 81499 Rubber, plastic and paper products machine operators, not elsewhere classified 81500 Textile, fur, and leather products machine operators 81600 Food and related products machine operators 81700 Wood processing and papermaking plant operators 81801 Glass and ceramics plant operators 81803 Packing, bottling, and labeling machine operators 81899 Other stationary plant and machine operators not elsewhere classified 82102 Electrical and electronic equipment assemblers (television, radio, computer equipment, etc.) 82199 Other machinery and equipment assemblers not elsewhere classified 83000 Drivers and mobile plant operators 83200 Motorcycle, automobile, taxi, minibus, and trolley drivers 83201 Motorcycle or motor cab driver 83202 Automobile, taxi, and radio taxi drivers 83203 Minibus and trolley drivers 83300 Heavy truck and bus drivers 83301 Heavy truck drivers (trucker, teamster) 83302 Bus, gondola, van, and microbus drivers 83401 Mobile farm and forestry plant operators (harvester, thresher, etc.) 83402 Earth moving and related plant operators (steamroller, paver, excavator operator, etc.) 83403 Crane, hoist, and related plant operators 83499 Other mobile plant operators not elsewhere classified 83500 Boat drivers (barge driver, etc.) 89999 Plant and machine operators, and assemblers, not elsewhere classified 90000 Elementary occupations 91000 Domestic workers, building cleaners and washers 91100 Domestic workers and building cleaners 91101 Domestic workers 91102 Cleaners in homes, offices, hotels and other establishments 91201 Hand launderers and pressers 91202 Vehicle and windshield cleaners 91299 Other cleaning workers not elsewhere classified 92101 Crop farm laborers (harvesters) 92102 Livestock farm laborers 92103 Mixed crop and livestock farm laborers 92104 Private gardeners and other laborers 92199 Agricultural, forestry, fishery, and related laborers, not elsewhere classified 93101 Mining and quarrying laborers 93102 Civil engineering laborers (highways, dams and related works) 93103 Construction laborers (construction workers) 93201 Hand packers (hand sorters and labelers) 93299 Other manufacturing laborers not elsewhere classified 93303 Freight handlers (loaders, stevedors, porters, q'ipiri, casket lowering device operators) 93304 Shelf fillers 93399 Other transport and storage laborers not elsewhere classified 94100 Food preparation assistants 95102 Shoe shiners 95103 Car guard 95199 Other street and related services workers not elsewhere classified (rezadores, zebras) 96100 Refuse workers 96101 Garbage and recycling collectors 96102 Refuse sorters 96103 Sweepers and related laborers 96201 Messengers, package deliverers, and luggage porters 96202 Janitors and caretakers 96204 Meter readers and related laborers (water and power meter readers) 96205 Water and firewood collectors 96299 Other elementary workers 99099 Elementary occupations, not elsewhere classified 99998 Unknown 99999 NIU (not in universe) Work: Occupation Variables -- PERSON Class of worker <span class="h3">F3. Only for people at least 7 years old</span></p> <p>43. In that occupation, did you work as...?</p> <div class="i1">[] 1 A laborer or employee<br />[] 2 A freelance worker<br />[] 3 An employer or partner<br />[] 4 An unpaid apprentice or family worker<br />[] 5 A domestic worker<br />[] 6 A member of a production / service co-op</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p>The criteria for collecting economic data about the population are:</p> <div class="i1">- Minimum age: 7<br />- Reference period: the week before Census Day</div><p>The population's economic characteristics being researched in the census are the type of activity, the principal occupation, the branch of economic activity, and the occupational category or job position (see Appendix).</p> <p><span class="em">43. Occupational category</span> <br />The occupational categories are defined as follows:</p> <div class="i1">1. Laborer: This is a paid worker who performs a predominantly manual occupation (performs physical labor) and who works for a public or private employer, for which the worker is remunerated with money or in kind. For example: construction workers or farm workers.<br />1. Employee: This is a person who performs a predominantly intellectual occupation and who works for a public or private employer, for which the worker is paid with money or in kind. For example: an office secretary, schoolteacher, or public employee.<br />2. Freelance worker: This is a person who has their own company or business, with no paid employees and without answering to a boss or employer. For example: tailor, carpenter, street vendor, or plumber.<br />3. Employer or partner: The owner of and/or partner in a company, economic unit, or business that provides goods and/or services, which must have one or more temporary or permanent paid workers. For example: owners of factories, large or medium-sized workshops, lawyers with employees, and building contractors.<br />4. Unpaid apprentice or family worker: This is a person who, whether a member of the household or not, performs some economic or service activity without receiving any monetary or in-kind remuneration in return.<br />5. Domestic worker: This is a person who provides domestic services in a home in exchange for periodic remuneration (in money or in kind).<br />6. Member of a production or service cooperative: This is someone who, as a member, works actively in a cooperative business, receiving income or assuming losses in their capacity as a member.</div><p>The question about occupational category is closed-ended and allows only one answer. Bolivia 2012: Persons age 7+ who worked or were engaged in any productive activity last week [discrepancies: none] This variable indicates the class of worker of the person. 01 Laborer or employee 02 Own-account worker 03 Employer or partner 04 Unpaid apprentice or family worker 05 Domestic worker 06 Member of a production or service co-op 09 Unknown 99 NIU (not in universe) Work Variables -- PERSON Industry (2 digit) <span class="h3">F3. Only for people at least 7 years old</span></p> <p>44. What is the principal thing produced or sold by the place you work, or what is its principal economic activity? ____</p> <div class="i1">(For example, write: tin mine, manufacture of shoes, ministry of health, poultry farm, growing of potatoes, retail sales in a neighborhood store, etc.)</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p>The criteria for collecting economic data about the population are:</p> <div class="i1">- Minimum age: 7<br />- Reference period: the week before Census Day</div><p>The population's economic characteristics being researched in the census are the type of activity, the principal occupation, the branch of economic activity, and the occupational category or job position (see Appendix).</p> <p><span class="em">44. Branch of activity</span> <br />Branch of economic activity means the activity of the establishment where the person worked in the week before Census Day. <br />The question about the branch of activity is an open-ended question, and the answer should be written down as clearly as possible in the appropriate line. Branches of activity include: tin mine, manufacture of shoes, ministry of health, poultry farm, growing of potatoes, and retail sales in a neighborhood store. Bolivia 2012: Persons age 7+ who worked or were engaged in any productive activity last week [discrepancies: type I none; type II 8.2%] This variable indicates the industry in which the person works (2 digit). 001 Crop and animal production, hunting and related service activities 002 Forestry and logging 003 Fishing and aquaculture 006 Extraction of crude petroleum and natural gas 007 Mining of metal ores 008 Other mining and quarrying 009 Mining support service activities 010 Manufacture of food products 011 Manufacture of beverages 012 Manufacture of tobacco products 013 Manufacture of textiles 014 Manufacture of wearing apparel 015 Manufacture of leather and related products 016 Manufacture of wood and of products of wood and cork, except furniture; 017 Manufacture of paper and paper products 018 Printing and reproduction of recorded media 019 Manufacture of coke and refined petroleum products 020 Manufacture of chemicals and chemical products 021 Manufacture of pharmaceuticals, medicinal chemical and botanical products 022 Manufacture of rubber and plastics products 023 Manufacture of other non-metallic mineral products 024 Manufacture of basic metals 025 Manufacture of fabricated metal products, except machinery and equipment 026 Manufacture of computer, electronic and optical products 027 Manufacture of electrical equipment 028 Manufacture of machinery and equipment n.e.c. 029 Manufacture of motor vehicles, trailers and semi-trailers 031 Manufacture of furniture 032 Other manufacturing 033 Repair and installation of machinery and equipment 035 Electricity, gas, steam and air conditioning supply 036 Water collection, treatment and supply 037 sewerage, waste management and decontamination 041 Construction of buildings 042 Civil engineering 043 Specialized construction activities 045 Wholesale and retail trade and repair of motor vehicles and motorcycles 046 Wholesale trade, except of motor vehicles and motorcycles 047 Retail trade, except of motor vehicles and motorcycles 049 Land transport and transport via pipelines 050 Water transport 051 Air transport 052 Warehousing and support activities for transportation 053 Postal and courier activities 055 Accommodation 056 Food and beverage service activities 058 Publishing activities 059 Motion picture, video and television programme production, sound recording 060 Programming and broadcasting activities 061 Telecommunications 062 Computer programming, consultancy, information service, and related activities 064 Financial service activities, except insurance and pension funding 065 Insurance, reinsurance and pension funding, except compulsory social security 066 Activities auxiliary to financial service and insurance activities 068 Real estate activities 069 Legal and accounting activities 070 Activities of head offices; management consultancy activities 071 Architectural and engineering activities; technical testing and analysis 072 Scientific research and development 073 Advertising and market research 074 Other professional, scientific and technical activities 075 Veterinary activities 077 Rental and leasing activities 078 Employment activities 079 Travel agency, tour operator, reservation service and related activities 080 Security and investigation activities 081 Services to buildings and landscape activities 082 Office administrative, office support and other business support activities 084 Public administration and defence; compulsory social security 085 Education 086 Human health activities 087 Residential care activities 088 Social work activities without accommodation 090 Creative, arts and entertainment activities 091 Libraries, archives, museums and other cultural activities 092 Gambling and betting activities 093 Sports activities and amusement and recreation activities 094 Activities of membership organizations 095 Repair of computers and personal and household goods 096 Other personal service activities 097 Activities of households as employers of domestic personnel 098 Undifferentiated goods- and services-producing activities of private households 099 Activities of extraterritorial organizations and bodies 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Marital status <span class="h3">F4. Only for people at least 15 years old</span></p> <p>45. What is your civil or marital status?</p> <div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Domestic partner or cohabiting partner<br />[] 4 Separated<br />[] 5 Divorced<br />[] 6 Widowed</div> <span class="h3">F4. Only for people at least 15 years old.</span></p> <p><span class="em">45. Civil or marital status</span> <br />On the census form, the question about civil or marital status is closed-ended and allows only one answer. Mark the appropriate circle or bubble. <br />Civil or marital status means each person's circumstance in relation to the laws or customs regarding marriage. The civil or marital status categories are:</p> <div class="i1">1. Single: This is a person who has never had a civil or religious marriage and has never been in a domestic partnership.<br />2. Married: This is someone who has had a civil and/or religious marriage and currently lives in that state.<br />3. Domestic partner or cohabiting partner: This is someone currently in a stable relationship with their partner without having a legal marriage.<br />4. Separated: This is someone who entered into a legal marriage or a domestic partnership but does not currently live in that state because of the couple's de facto separation.<br /><span class="pg">[p. 19]</span><br />5. Divorced: This is someone who entered into a legal marriage but does not currently live in that state because the couple has separated legally, i.e., through a judicial decree.<br />6. Widowed: This is someone who lost their spouse or domestic partner through death and who at the time of the census has not remarried or formed a new domestic partnership.</div> Bolivia 2012: Persons age 15+ [discrepancies: type I none; type II 0.2%] This variable indicates the person's marital status. 1 Single 2 Married 3 Domestic partner or cohabiting partner 4 Separated 5 Divorced 6 Widow 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Children ever born <span class="h3">F5. Only for women at least 15 years old</span></p> <p>46. In total, how many live births have you had, including children who are now dead or absent?</p> <div class="i1">Number _ _ [If none, mark 0 and go on to the next person]</div> <span class="h3">F5. Only for women at least 15 years old</span></p> <p><span class="em">Fertility and mortality</span></p> <p>The questions about fertility and mortality, asked only of women at least 15 years old, deal with and help provide basic data for estimating fertility and infant mortality rates. <br />Live birth refers to any child who, upon birth, shows any sign of life such as breathing, crying, or moving, even if the child then dies.</p> <p><span class="em">46. Number of live births</span> <br />The number of live births includes all daughters and sons born alive throughout the life of the woman being counted, up to the date of the census. <br />In the appropriate boxes, note down the total number of live births of the woman being interviewed. If she had no children, write 0 and move on, if appropriate, to the next person. Bolivia 2012: Females age 15+ [discrepancies: none] This variable indicates the number of children ever born alive. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children still alive <span class="h3">F5. Only for women at least 15 years old</span></p> <p>47. Of the live births, how many of your children are now alive?</p> <div class="i1">Number _ _</div> <span class="h3">F5. Only for women at least 15 years old</span></p> <p><span class="em">Fertility and mortality</span></p> <p>The questions about fertility and mortality, asked only of women at least 15 years old, deal with and help provide basic data for estimating fertility and infant mortality rates. <br />Live birth refers to any child who, upon birth, shows any sign of life such as breathing, crying, or moving, even if the child then dies.</p> <p><span class="em">46. Number of live births</span> <br />The number of live births includes all daughters and sons born alive throughout the life of the woman being counted, up to the date of the census. <br />In the appropriate boxes, note down the total number of live births of the woman being interviewed. If she had no children, write 0 and move on, if appropriate, to the next person.</p> <p><span class="em">47. Number of surviving children</span> <br />Of the female interviewee's live births, note down in the appropriate boxes the total number alive at the time of the census. If the answer is none, put 0. Bolivia 2012: Females age 15+ who have had children born [discrepancies: none] This variable indicates the number of children currently alive. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Month of most recent live birth <span class="h3">F5. Only for women at least 15 years old</span></p> <p>48. In what month and year was your most recent live birth?</p> <div class="i1">Month _ _<br />Year _ _ _ _</div> <span class="h3">F5. Only for women at least 15 years old</span></p> <p><span class="em">Fertility and mortality</span></p> <p>The questions about fertility and mortality, asked only of women at least 15 years old, deal with and help provide basic data for estimating fertility and infant mortality rates. <br />Live birth refers to any child who, upon birth, shows any sign of life such as breathing, crying, or moving, even if the child then dies.</p> <p><span class="em">48. Date of most recent live birth</span> <br />In the appropriate boxes, note down the month and year of the most recent live birth, regardless of whether the child is alive or died before the date of the census. This information makes it possible to document live births that occurred in the year before the census and will be a basis for fertility estimates. Bolivia 2012: Females age 15+ who have had children born [discrepancies: none] This variable indicates the month of birth of the last child born alive. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year of most recent live birth <span class="h3">F5. Only for women at least 15 years old</span></p> <p>48. In what month and year was your most recent live birth?</p> <div class="i1">Month _ _<br />Year _ _ _ _</div> <span class="h3">F5. Only for women at least 15 years old</span></p> <p><span class="em">Fertility and mortality</span></p> <p>The questions about fertility and mortality, asked only of women at least 15 years old, deal with and help provide basic data for estimating fertility and infant mortality rates. <br />Live birth refers to any child who, upon birth, shows any sign of life such as breathing, crying, or moving, even if the child then dies.</p> <p><span class="em">48. Date of most recent live birth</span> <br />In the appropriate boxes, note down the month and year of the most recent live birth, regardless of whether the child is alive or died before the date of the census. This information makes it possible to document live births that occurred in the year before the census and will be a basis for fertility estimates. Bolivia 2012: Females age 15+ who have had children born [discrepancies: none] This variable indicates the year of birth of the last child born alive. 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 9998 Unknown 9999 NIU (not in universe) Fertility and Mortality Variables -- PERSON Last child still alive <span class="h3">F5. Only for women at least 15 years old</span></p> <p>49a. Is this latest child still alive?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="h3">F5. Only for women at least 15 years old</span></p> <p><span class="em">Fertility and mortality</span></p> <p>The questions about fertility and mortality, asked only of women at least 15 years old, deal with and help provide basic data for estimating fertility and infant mortality rates. <br />Live birth refers to any child who, upon birth, shows any sign of life such as breathing, crying, or moving, even if the child then dies.</p> <p><span class="em">48. Date of most recent live birth</span> <br />In the appropriate boxes, note down the month and year of the most recent live birth, regardless of whether the child is alive or died before the date of the census. This information makes it possible to document live births that occurred in the year before the census and will be a basis for fertility estimates.</p> <p><span class="em">49a. Survival of child from most recent live birth</span> <br />This question makes it possible to count the number of deaths among children from live births in the 12 months before the date of the census. Mark the circle or bubble corresponding to the answer received. Bolivia 2012: Females age 15+ who have had children born [discrepancies: none] This variable indicates whether the last child born is currently alive. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Location of last birth <span class="h3">F5. Only for women at least 15 years old</span></p> <p>49b. Where did your most recent childbirth occur?</p> <div class="i1">[] 1 At a health-care facility<br />[] 2 In a home<br />[] 3 Somewhere else</div> <span class="h3">F5. Only for women at least 15 years old</span></p> <p><span class="em">Fertility and mortality</span></p> <p>The questions about fertility and mortality, asked only of women at least 15 years old, deal with and help provide basic data for estimating fertility and infant mortality rates. <br />Live birth refers to any child who, upon birth, shows any sign of life such as breathing, crying, or moving, even if the child then dies.</p> <p><span class="em">48. Date of most recent live birth</span> <br />In the appropriate boxes, note down the month and year of the most recent live birth, regardless of whether the child is alive or died before the date of the census. This information makes it possible to document live births that occurred in the year before the census and will be a basis for fertility estimates.</p> <p><span class="em">49a. Survival of child from most recent live birth</span> <br />This question makes it possible to count the number of deaths among children from live births in the 12 months before the date of the census. Mark the circle or bubble corresponding to the answer received.</p> <p><span class="em">49b. Place of most recent birth</span> <br />This question collects information about the place where the most recent birth occurred for women who had live births. Bolivia 2012: Females age 15+ who have had children born [discrepancies: none] This variable indicates the location of the most recent birth. 1 At a health-care facility 2 At a home 3 Somewhere else 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Employment status <span class="h3">F3. Only for people at least 7 years old</span></p> <p>39. Did you work in the last week?</p> <div class="i1">[] 1 Yes [Go to question 42]<br />[] 2 No</div><p>41. During the past week, were you... ?</p> <div class="i1">[] 1 Seeking work, having worked before [Go to question 45]<br />[] 2 Seeking work for the first time [Go to question 45]<br />[] 3 A student [Go to question 45]<br />[] 4 A homemaker [Go to question 45]<br />[] 5 Retired, a pensioner, or an annuitant [Go to question 45]<br />[] 6 Other [Go to question 45]</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p><span class="em">39, 40, 41. Type of activity</span> <br />The type of activity defines the person's relationship with the activity the person performed in the week before Census Day. Depending on the type of activity, the person may be economically active or economically inactive. However, people who were economically active and had work in the week before Census Day are considered employed people, and if they are seeking work they are unemployed people. The reference period is the week before Census Day. Questions 39, 40, and 41 allow us to identify, first of all, the economically active population and economically inactive population; then, among the economically active people, we can identify the employed people and unemployed people; among the unemployed people we can distinguish between people seeking work who had worked before the reference week and people seeking work for the first time; and lastly, among the economically inactive people, the questions let us identify homemakers and full-time students, as well as retirees, pensioners, and annuitants. Read out the multiple choices for questions 40 and 41 in order until you get an affirmative response. When this happens, go to the question indicated as the next one. Bolivia 2012: Persons age 7+ who were economically active last week [discrepancies: none] This variable indicates the employment status of persons who are economically active. 1 Employed 2 Unemployed, have worked before 3 Unemployed, seeking work for first time 9 NIU (not in universe) Work Variables -- PERSON Economically inactive population <span class="h3">F3. Only for people at least 7 years old</span></p> <p>41. During the past week, were you... ?</p> <div class="i1">[] 1 Seeking work, having worked before [Go to question 45]<br />[] 2 Seeking work for the first time [Go to question 45]<br />[] 3 A student [Go to question 45]<br />[] 4 A homemaker [Go to question 45]<br />[] 5 Retired, a pensioner, or an annuitant [Go to question 45]<br />[] 6 Other [Go to question 45]</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p><span class="em">39, 40, 41. Type of activity</span> <br />The type of activity defines the person's relationship with the activity the person performed in the week before Census Day. Depending on the type of activity, the person may be economically active or economically inactive. However, people who were economically active and had work in the week before Census Day are considered employed people, and if they are seeking work they are unemployed people. The reference period is the week before Census Day. Questions 39, 40, and 41 allow us to identify, first of all, the economically active population and economically inactive population; then, among the economically active people, we can identify the employed people and unemployed people; among the unemployed people we can distinguish between people seeking work who had worked before the reference week and people seeking work for the first time; and lastly, among the economically inactive people, the questions let us identify homemakers and full-time students, as well as retirees, pensioners, and annuitants. Read out the multiple choices for questions 40 and 41 in order until you get an affirmative response. When this happens, go to the question indicated as the next one. Bolivia 2012: Persons age 7+ who were not economically active last week [discrepancies: none] This variable indicates the status of persons who are economically inactive. 1 Student 2 Homemaker 3 Retired, a pensioner, or an annuitant 4 Other 9 NIU (not in universe) Work Variables -- PERSON Industry <span class="h3">F3. Only for people at least 7 years old</span></p> <p>44. What is the principal thing produced or sold by the place you work, or what is its principal economic activity? ____</p> <div class="i1">(For example, write: tin mine, manufacture of shoes, ministry of health, poultry farm, growing of potatoes, retail sales in a neighborhood store, etc.)</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p><span class="em">44. Branch of activity</span> <br />Branch of economic activity means the activity of the establishment where the person worked in the week before Census Day. <br />The question about the branch of activity is an open-ended question, and the answer should be written down as clearly as possible in the appropriate line. Branches of activity include: tin mine, manufacture of shoes, ministry of health, poultry farm, growing of potatoes, and retail sales in a neighborhood store. Bolivia 2012: Persons age 7+ who worked or were engaged in any productive activity last week [discrepancies: none] This variable indicates the industry in which the person works (1 digit). 01 Agriculture, livestock, hunting, fishing and forestry 02 Mining and quarrying 03 Manufacturing industry 04 Electricity, gas, steam and air conditioning supply 05 Water supply; sewerage, waste management and decontamination 06 Construction 07 Wholesale and retail sale; repair of motor vehicles and motorcycles 08 Transportation and storage 09 Accommodation and food service activities 10 Information and communications 11 Financial intermediation and insurance 12 Real estate activities 13 Professional and technical services 14 Administrative and support services activities 15 Public administration, defense and mandatory social security plans 16 Education services 17 Health and social assistance services 18 Artistic, entertainment and recreational activities 19 Other service activities 20 Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use 21 Services of organizations and extraterritorial bodies 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON Occupation (1 digit) <span class="h3">F3. Only for people at least 7 years old</span></p> <p>42. What was your principal occupation, job, or trade in the last week? ____</p> <div class="i1">(For example, write: mine driller, auto mechanic, grocer, primary school teacher, call-shop operator, etc.)</div> <span class="h3">F3. Only for people at least 7 years old<br />Economic characteristics of the population </span></p> <p><span class="em">42. Principal occupation</span> <br />The principal occupation, job, or trade means the type of work the employed person performed in the week before Census Day. The question about the principal occupation is an open-ended question, and the answer should be written down as clearly as possible in the appropriate line. For example, mine driller, auto mechanic, grocer, primary school teacher, call-shop operator. Bolivia 2012: Persons age 7+ who worked or were engaged in any productive activity last week [discrepancies: none] This variable indicates the person's main occupation (1 digit). 00 Armed forces 01 Managers of government bodies and companies 02 Scientific and intellectual professionals 03 Technicians and associate professionals 04 Office workers 05 Services and sales workers 06 Agricultural, forestry, and fishery workers 07 Building, manufacturing, and other trades workers 08 Plant and machine operators and assembles 09 Elementary occupations 98 Unknown 99 NIU (not in universe) Work: Occupation Variables -- PERSON Highest level of education passed (current system) <span class="h3">F2. Only for people at least 4 years old</span></p> <p>37. What was the highest educational level that you passed? [If 1-14, go to question 39]</p> <div class="i1">[] 1 None</div><div class="i2">Grade _</div><div class="i1">[] 2 Literacy course</div><div class="i2">Grade _</div><div class="i1">[] 3 Initial (Pre-K, kindergarten)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br /> [] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">University</span><br />[] 11 Technical university education</div><div class="i2">Grade _</div><div class="i1">[] 12 Undergraduate program</div><div class="i2">Grade _</div><div class="i1">[] 13 Master's program</div><div class="i2">Grade _</div><div class="i1">[] 14 Doctoral program</div><div class="i2">Grade _</div><div class="i1"><span class="em">Non-university institution</span><br />[] 15 Teacher's College</div><div class="i2">Grade _</div><div class="i1">[] 16 Military or Police Academy</div><div class="i2">Grade _</div><div class="i1">[] 17 Technical Institute</div><div class="i2">Grade _</div><div class="i1">[] 18 Other</div><div class="i2">Grade _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">37. Highest education level reached</span> <br />This describes the educational level achieved by a person as of the date of the census. This question has two answers: one about level and one about the year or grade passed at that level. The census form breaks down the levels and grades into five groups:</p> <div class="i1">- Old system, consisting of these levels: basic (with 5 years or grades), intermediate (with 3 years or grades) and middle (with 4 years or grades).<br />- Previous system, consisting of these levels: primary (with 8 years or grades) and secondary (with 4 years or grades).<br />- Current system, consisting of these levels: primary (with 6 years or grades) and secondary (with 6 years or grades).<br />- University, consisting of education after completing high school, at any public or private university.<br /><span class="pg">[p. 17]</span><br />- Nonuniversity institution, consisting of other types of education. The first three groups capture information about formal schooling, in other words, the education that concludes with high school graduation.</div><p>The fourth group (university) captures information about higher education. If the academic terms are organized into semesters, keep the data uniform by noting down the years of studies that the person passed. For example:</p> <div class="i1">- The person replies 2nd semester. Write 1.<br />- The person replies 5th semester. Write 2.</div><p>The fifth group (nonuniversity institution) captures information about education that does not necessarily occur in a university. This group includes the option technical institute, which refers to technical studies lasting at least one year. The option 'Other' refers to short courses (hairstyling, pastry-making, computing, etc.) lasting less than one year, and so whatever the answer, mark 0 in the year box. Only if the person responds with some nonuniversity institution level and grade, continue with question 38; otherwise, go to section F3. Only for people at least 7 years old. Bolivia 2012: Persons age 4+ [discrepancies: none] This variable indicates the highest level of education the person passed. Codes are organized based on the current education system in Bolivia. 01 None 02 Literacy course 03 Initial (Pre-K, kindergarten) 09 Primary (1 to 6 years); current system 10 Secondary (1 to 6 years); current system 11 Technical university education; university 12 Undergraduate program; university 13 Master's program; university 14 Doctoral program; university 15 Teachers' College; nonuniversity institution 16 Military or Police Academy; nonuniversity institution 17 Technical Institute; nonuniversity institution 18 Other 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Highest level of educational attainment (current system) <span class="h3">F2. Only for people at least 4 years old</span></p> <p>37. What was the highest educational level that you passed? [If 1-14, go to question 39]</p> <div class="i1">[] 1 None</div><div class="i2">Grade _</div><div class="i1">[] 2 Literacy course</div><div class="i2">Grade _</div><div class="i1">[] 3 Initial (Pre-K, kindergarten)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br /> [] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">University</span><br />[] 11 Technical university education</div><div class="i2">Grade _</div><div class="i1">[] 12 Undergraduate program</div><div class="i2">Grade _</div><div class="i1">[] 13 Master's program</div><div class="i2">Grade _</div><div class="i1">[] 14 Doctoral program</div><div class="i2">Grade _</div><div class="i1"><span class="em">Non-university institution</span><br />[] 15 Teacher's College</div><div class="i2">Grade _</div><div class="i1">[] 16 Military or Police Academy</div><div class="i2">Grade _</div><div class="i1">[] 17 Technical Institute</div><div class="i2">Grade _</div><div class="i1">[] 18 Other</div><div class="i2">Grade _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">37. Highest education level reached</span> <br />This describes the educational level achieved by a person as of the date of the census. This question has two answers: one about level and one about the year or grade passed at that level. The census form breaks down the levels and grades into five groups:</p> <div class="i1">- Old system, consisting of these levels: basic (with 5 years or grades), intermediate (with 3 years or grades) and middle (with 4 years or grades).<br />- Previous system, consisting of these levels: primary (with 8 years or grades) and secondary (with 4 years or grades).<br />- Current system, consisting of these levels: primary (with 6 years or grades) and secondary (with 6 years or grades).<br />- University, consisting of education after completing high school, at any public or private university.<br /><span class="pg">[p. 17]</span><br />- Nonuniversity institution, consisting of other types of education. The first three groups capture information about formal schooling, in other words, the education that concludes with high school graduation.</div><p>The fourth group (university) captures information about higher education. If the academic terms are organized into semesters, keep the data uniform by noting down the years of studies that the person passed. For example:</p> <div class="i1">- The person replies 2nd semester. Write 1.<br />- The person replies 5th semester. Write 2.</div><p>The fifth group (nonuniversity institution) captures information about education that does not necessarily occur in a university. This group includes the option technical institute, which refers to technical studies lasting at least one year. The option 'Other' refers to short courses (hairstyling, pastry-making, computing, etc.) lasting less than one year, and so whatever the answer, mark 0 in the year box. Only if the person responds with some nonuniversity institution level and grade, continue with question 38; otherwise, go to section F3. Only for people at least 7 years old. Bolivia 2012: Persons age 4+ [discrepancies: none] This variable indicates the person's highest level of educational attainment. Codes are organized based on the current education system in Bolivia. 0100 None 0201 Literacy course, year 1 0202 Literacy course, year 2 0301 Initial (Pre-K, kindergarten), year 1 0302 Initial (Pre-K, kindergarten), year 2 0901 Primary (1 to 6 years); current system, year 1 0902 Primary (1 to 6 years); current system, year 2 0903 Primary (1 to 6 years); current system, year 3 0904 Primary (1 to 6 years); current system, year 4 0905 Primary (1 to 6 years); current system, year 5 0906 Primary (1 to 6 years); current system, year 6 1001 Secondary (1 to 6 years); current system, year 1 1002 Secondary (1 to 6 years); current system, year 2 1003 Secondary (1 to 6 years); current system, year 3 1004 Secondary (1 to 6 years); current system, year 4 1005 Secondary (1 to 6 years); current system, year 5 1006 Secondary (1 to 6 years); current system, year 6 1101 Technical university education; university, year 1 1102 Technical university education; university, year 2 1103 Technical university education; university, year 3 1104 Technical university education; university, year 4 1201 Undergraduate program; university, year 1 1202 Undergraduate program; university, year 2 1203 Undergraduate program; university, year 3 1204 Undergraduate program; university, year 4 1205 Undergraduate program; university, year 5 1301 Master's program; university, year 1 1302 Master's program; university, year 2 1401 Doctoral program; university, year 1 1402 Doctoral program; university, year 2 1403 Doctoral program; university, year 3 1404 Doctoral program; university, year 4 1501 Teachers' College; nonuniversity institution, year 1 1502 Teachers' College; nonuniversity institution, year 2 1503 Teachers' College; nonuniversity institution, year 3 1504 Teachers' College; nonuniversity institution, year 4 1601 Military or Police Academy; nonuniversity institution, year 1 1602 Military or Police Academy; nonuniversity institution, year 2 1603 Military or Police Academy; nonuniversity institution, year 3 1604 Military or Police Academy; nonuniversity institution, year 4 1605 Military or Police Academy; nonuniversity institution, year 5 1701 Technical Institute; nonuniversity institution, year 1 1702 Technical Institute; nonuniversity institution, year 2 1703 Technical Institute; nonuniversity institution, year 3 1704 Technical Institute; nonuniversity institution, year 4 1800 Other 9998 Unknown 9999 NIU (not in universe) Education Variables -- PERSON Level of education passed to access non-university institution (current system) <span class="h3">F2. Only for people at least 4 years old</span></p> <p>37. What was the highest educational level that you passed? [If 1-14, go to question 39]</p> <div class="i1">[] 1 None</div><div class="i2">Grade _</div><div class="i1">[] 2 Literacy course</div><div class="i2">Grade _</div><div class="i1">[] 3 Initial (Pre-K, kindergarten)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br /> [] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">University</span><br />[] 11 Technical university education</div><div class="i2">Grade _</div><div class="i1">[] 12 Undergraduate program</div><div class="i2">Grade _</div><div class="i1">[] 13 Master's program</div><div class="i2">Grade _</div><div class="i1">[] 14 Doctoral program</div><div class="i2">Grade _</div><div class="i1"><span class="em">Non-university institution</span><br />[] 15 Teacher's College</div><div class="i2">Grade _</div><div class="i1">[] 16 Military or Police Academy</div><div class="i2">Grade _</div><div class="i1">[] 17 Technical Institute</div><div class="i2">Grade _</div><div class="i1">[] 18 Other</div><div class="i2">Grade _</div><p>38. To access that level, what level and year of schooling did you pass?</p> <div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br />[] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">37. Highest education level reached</span> <br />This describes the educational level achieved by a person as of the date of the census. This question has two answers: one about level and one about the year or grade passed at that level. The census form breaks down the levels and grades into five groups:</p> <div class="i1">- Old system, consisting of these levels: basic (with 5 years or grades), intermediate (with 3 years or grades) and middle (with 4 years or grades).<br />- Previous system, consisting of these levels: primary (with 8 years or grades) and secondary (with 4 years or grades).<br />- Current system, consisting of these levels: primary (with 6 years or grades) and secondary (with 6 years or grades).<br />- University, consisting of education after completing high school, at any public or private university.<br /><span class="pg">[p. 17]</span><br />- Nonuniversity institution, consisting of other types of education. The first three groups capture information about formal schooling, in other words, the education that concludes with high school graduation.</div><p>The fourth group (university) captures information about higher education. If the academic terms are organized into semesters, keep the data uniform by noting down the years of studies that the person passed. For example:</p> <div class="i1">- The person replies 2nd semester. Write 1.<br />- The person replies 5th semester. Write 2.</div><p>The fifth group (nonuniversity institution) captures information about education that does not necessarily occur in a university. This group includes the option technical institute, which refers to technical studies lasting at least one year. The option 'Other' refers to short courses (hairstyling, pastry-making, computing, etc.) lasting less than one year, and so whatever the answer, mark 0 in the year box. Only if the person responds with some nonuniversity institution level and grade, continue with question 38; otherwise, go to section F3. Only for people at least 7 years old. Bolivia 2012: Persons age 4+ whose highest level of education passed was at a non-university institution [discrepancies: none] This variable indicates the highest level of education the person passed to access a non-university institution. Codes are organized based on the current education system in Bolivia. 6 Primary (1 to 6 years); current system 7 Secondary (1 to 6 years); current system 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Level of educational attainment to access non-university institution (current system) <span class="h3">F2. Only for people at least 4 years old</span></p> <p>37. What was the highest educational level that you passed? [If 1-14, go to question 39]</p> <div class="i1">[] 1 None</div><div class="i2">Grade _</div><div class="i1">[] 2 Literacy course</div><div class="i2">Grade _</div><div class="i1">[] 3 Initial (Pre-K, kindergarten)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br /> [] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">University</span><br />[] 11 Technical university education</div><div class="i2">Grade _</div><div class="i1">[] 12 Undergraduate program</div><div class="i2">Grade _</div><div class="i1">[] 13 Master's program</div><div class="i2">Grade _</div><div class="i1">[] 14 Doctoral program</div><div class="i2">Grade _</div><div class="i1"><span class="em">Non-university institution</span><br />[] 15 Teacher's College</div><div class="i2">Grade _</div><div class="i1">[] 16 Military or Police Academy</div><div class="i2">Grade _</div><div class="i1">[] 17 Technical Institute</div><div class="i2">Grade _</div><div class="i1">[] 18 Other</div><div class="i2">Grade _</div><p>38. To access that level, what level and year of schooling did you pass?</p> <div class="i1"><span class="em">Old system</span><br />[] 4 Basic (1 to 5 years)</div><div class="i2">Grade _</div><div class="i1">[] 5 Intermediate (1 to 3 years)</div><div class="i2">Grade _</div><div class="i1">[] 6 Middle (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Previous system</span><br />[] 7 Primary (1 to 8 years)</div><div class="i2">Grade _</div><div class="i1">[] 8 Secondary (1 to 4 years)</div><div class="i2">Grade _</div><div class="i1"><span class="em">Current system</span><br />[] 9 Primary (1 to 6 years)</div><div class="i2">Grade _</div><div class="i1">[] 10 Secondary (1 to 6 years)</div><div class="i2">Grade _</div> <span class="h2">Chapter F. The person's main characteristics</span></p> <p><span class="em">Population's educational characteristics</span> <br />The population's educational characteristics researched in the population censuses are literacy, school attendance, and educational level starting at a certain age. In the census, educational data is collected from people who, at the time of the census, are at least four years old.</p> <p><span class="h3">F2. Only for people at least 4 years old</span></p> <p><span class="em">37. Highest education level reached</span> <br />This describes the educational level achieved by a person as of the date of the census. This question has two answers: one about level and one about the year or grade passed at that level. The census form breaks down the levels and grades into five groups:</p> <div class="i1">- Old system, consisting of these levels: basic (with 5 years or grades), intermediate (with 3 years or grades) and middle (with 4 years or grades).<br />- Previous system, consisting of these levels: primary (with 8 years or grades) and secondary (with 4 years or grades).<br />- Current system, consisting of these levels: primary (with 6 years or grades) and secondary (with 6 years or grades).<br />- University, consisting of education after completing high school, at any public or private university.<br /><span class="pg">[p. 17]</span><br />- Nonuniversity institution, consisting of other types of education. The first three groups capture information about formal schooling, in other words, the education that concludes with high school graduation.</div><p>The fourth group (university) captures information about higher education. If the academic terms are organized into semesters, keep the data uniform by noting down the years of studies that the person passed. For example:</p> <div class="i1">- The person replies 2nd semester. Write 1.<br />- The person replies 5th semester. Write 2.</div><p>The fifth group (nonuniversity institution) captures information about education that does not necessarily occur in a university. This group includes the option technical institute, which refers to technical studies lasting at least one year. The option 'Other' refers to short courses (hairstyling, pastry-making, computing, etc.) lasting less than one year, and so whatever the answer, mark 0 in the year box. Only if the person responds with some nonuniversity institution level and grade, continue with question 38; otherwise, go to section F3. Only for people at least 7 years old. Bolivia 2012: Persons age 4+ whose highest level of education passed was at a non-university institution [discrepancies: none] This variable indicates the highest level of education the person attained to access a non-university institution. Codes are organized based on the current education system in Bolivia. 61 Primary (1 to 6 years); current system, year 1 62 Primary (1 to 6 years); current system, year 2 63 Primary (1 to 6 years); current system, year 3 64 Primary (1 to 6 years); current system, year 4 65 Primary (1 to 6 years); current system, year 5 66 Primary (1 to 6 years); current system, year 6 71 Secondary (1 to 6 years); current system, year 1 72 Secondary (1 to 6 years); current system, year 2 73 Secondary (1 to 6 years); current system, year 3 74 Secondary (1 to 6 years); current system, year 4 75 Secondary (1 to 6 years); current system, year 5 76 Secondary (1 to 6 years); current system, year 6 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON