VIII National Population and Housing Census, 2002 DDI_DOM_2002_PHC_v01_M_v7.5_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS May 20, 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. VIII National Population and Housing Census, 2002 - IPUMS Subset PHC Dominican Republic 2002 (IPUMS Harmonized Subset) DOM_2002_PHC_v01_M_v7.5_A_IPUMS Oficina Nacional de Estadística (ONE) IPUMS (c) Copyright 2002, Oficina Nacional de Estadística (ONE) and Minnesota Population Center Oficina Nacional de Estadística (ONE) 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 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 Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Income Variables -- PERSON Household Economic Variables -- HOUSEHOLD Migration: A-E Variables -- PERSON Technical Person Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Work Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Nativity and Birthplace Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Other Household Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Demographic Variables -- PERSON Migration: Global Variables -- PERSON Fertility and Mortality Variables -- PERSON Disability Variables -- PERSON Disability Variables -- PERSON Education Variables -- PERSON Migration: Global Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Income Variables -- PERSON Demographic Variables -- PERSON Fertility and Mortality Variables -- PERSON Technical Person Variables -- PERSON October 19, 2002 October 19, 2002 Dominican Republic Municipality Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Any place with a separate entrance enclosed by walls and covered by a roof available as temporary or permanent lodging for persons with or without a family relationship. Businesses, shops, and workshops with living areas were also considered dwellings, as well as any shelter, fixed or mobile, occupied as a place of lodging at the time of the census. - Households: One or more related or unrelated persons who live together and share a food budget. - Group quarters: Housing that is inhabited by a collective household: a group of people without family ties that live together for reasons of health, work, religion, education,or discipline. Hotels, pensions, guesthouses, military and police barracks, prisons, hospitals, health centers, asylums, nursing homes, religious institutions, boarding schools, and similar institutions are considered group quarters or collective housing. Permanent residents: present and absent persons that lived permanently in the household including persons who had been absent from the household for less than six months due to travel, study, military service, hospitalization, or incarceration (with an undetermined sentence). Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Dominican Republic 2002 MICRODATA SOURCE: Oficina Nacional de Estadística (ONE) SAMPLE SIZE (person records): 857606. SAMPLE DESIGN: Systematic sample of every 10th household given a random start. Sample drawn by MPC. Face-to-face [f2f] Single enumeration form that requested information on dwellings, households, and individuals. The 2002 questionnaire also requested information on household agricultural production. de jure, CENSUS DAY: October 19, 2002 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. Oficina Nacional de Estadística (ONE) . 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: Dominican Republic, Oficina Nacional de Estadística (ONE). VIII National Population and Housing Census, 2002 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 do2002a, 2024 DOM2002_PHC-H-H.dat Household records 247,375 ascii Minnesota Population Center Version 7.5, IPUMS sample DOM2002_PHC-P-H.dat Person records 857606 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 Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD 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 Dominican Republic, Province 2002 [Level 1, GIS] GEO1_ DO2002 identifies the household's province within Dominican Republic in 2002. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ DO2002 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Dominican Republic 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 National district 002 Azua 003 Baoruco 004 Barahona 005 Dajabón 006 Duarte 007 Elías Piña 008 El Seibo 009 Espaillat 010 Independencia 011 La Altagracia 012 La Romana 013 La Vega 014 María Trinidad Sánchez 015 Monte Cristi 016 Pedernales 017 Peravia 018 Puerto Plata 019 Salcedo 020 Samana 021 San Cristóbal 022 San Juan 023 San Pedro de Macorís 024 Sánchez Ramírez 025 Santiago 026 Santiago Rodríguez 027 Valverde 028 Monseñor Nouel 029 Monte Plata 030 Hato Mayor 031 San José de Ocoa 032 Santo Domingo Geography: A-E Variables -- HOUSEHOLD Dominican Republic, Municipality 2002 [Level 2, GIS] GEO2_ DO2002 identifies the household's municipality and municipal districts within Dominican Republic in 2002. Municipalities and municipal districts are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_ DO2002 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Dominican Republic 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. 101001 Santo Domingo de Guzman 132001 Santo Domingo Este 132002 Santo Domingo Norte 132003 Santo Domingo Oeste 132004 Los Alcarrizos 132005 Boca Chica 132006 Pedro Brand 132007 La Victoria 132008 Guerra 217001 Santana, Nizao, Pizarrete 217002 Baní, Paya 217003 Villa Fundación, Sabana Buey, Matanzas 221001 Villa Altagracia 221002 Bajos De Haina 221003 El Carril 221004 San Cristóbal, Sabana Grande De Palenque 221005 Cambita Garabitos, Los Cacaos 221006 San Gregorio De Nigua 221007 Yaguate 229001 Yamasá, Esperalvillo, Los Botados 229002 Bayaguana 229003 Monte Plata, Gonzalo, Majagual 229004 Sabana Grande de Boya, Don Juan 231001 San José de Ocoa 231002 Sabana Larga, Rancho Arriba, La Cienaga (San José de Ocoa) 308001 Miches 308002 El Seibo, Pedro Sánchez 311001 Higüey, San Rafael Del Yuma, Boca De Yuma 311002 Lagunas de Nisibón Otra Banda 312001 Guaymate, La Romana 323001 San Pedro de Macorís 323002 Ramón Santana, Consuelo 323003 Los Llanos, Quisqueya, El Puerto 330001 El Valle, Elupina Cordero de las Cañitas, Sabana De La Mar 330002 Hato Mayor, Yerba Buena, Mata Palacio, Guayabo Dulce 406001 San Francisco de Macorís 406002 Las Guáranas, La Peña, Cenoví 406003 Arenoso, Villa Riva, Agua Santa del Yuna, Cristo Rey de Guaraguao 406004 Castillo, Pimentel, Hostos 414001 Cabrera, Río San Juan, La Entrada, Arroyo Salado 414002 Nagua 414003 El Factor, El Pozo, San José de Mantanzas 419001 Blanco 419002 Salcedo 419003 Villa Tapia 419004 Tenares 420001 Samana, Las Terrenas, Sánchez 513001 Jarabacoa 513002 La Vega 513003 Río Verde Arriba 513004 Constanza, Tireo 513005 Rincón, Jima Abajo 524001 Cotuí, Cevicos, La Cueva 524002 La Mata 524003 Fantino 528001 Monseñor Nouel (Bonao), Maimón, Sabana del Puerto 528002 Villa de Sonador, Piedra Blanca, Juan Adrián 609001 Moca, Cayetano Germosén, Juan López 609002 Jamao al Norte, José Contreras, San Victor 609003 Gaspar Hernández, Veragua, Joba Arriba 618001 Puerto Plata, Montellano 618002 Imbert, Los Hidalgos 618003 Luperón, Villa Isabela, Estero Hondo, La Isabela 618004 Altamira, Guananico 618005 Sosúa 625001 Tamboril 625002 Licey Al Medio 625003 San José de las Matas, El Rubio 625004 Jánico, Juncalito 625005 Villa Bisonó 625006 Santiago, Pedro Garcia 625007 La Canela 625008 Sabana Iglesia, Baitoa 625009 Villa González, Palmar Arriba 705001 Loma de Cabrera, Partido, Restauración, El Pino 705002 Dajabon 715001 San Fernando de Monte Cristi, Pepillo Salcedo, Villa Vásquez 715002 Castañuelas, Las Matas de Santa Cruz 715003 Villa Elisa, Guayubín, Hatillo Palma, Cana Chapeton 726001 San Ignacio de Sabaneta, Villa los Almácigos, Monción 727001 La Caya, Jaibon, Laguna Salada 727002 Mao 727003 Amina, Jaibon de Pueblo Nuevo, Guatapanal 727004 Jicomé, Maizal, Esperanza 802001 Pueblo Viejo, Azua 802002 Las Yayas de Viajama, Padre las Casas, Villarpando 802003 Nuevo Sabana Yegua, Jaquimeyes 802004 Peralta, Villa Tábara Arriba 802005 Las Charcas, Guayabal (Azua), Estebania, Palmar de Ocoa 807001 Comendador, El Llano, Hondo Valle, Juan Santiago 807002 Banica, Rio Limpio, Matayaya, Pedro Santana 822001 El Cercado, Vallejuelo, Matayaya, 822002 San Juan, Bohechio, Juan de Herrera 822003 Las Matas de Farfan, Pedro Corto 903001 Neiba 903002 Galvan, Tamayo 903003 Villa Jaragua, Los Rios 903004 El Palmar, Ubilla 904001 Paraiso, Polo, Enriquillo 904002 Barahona, La Cienaga (Barahona) 904003 Cabral, El Peñon, Pescaderia, Las Salinas, El Cachón, Fundación 904004 Vicente Noble, Canoa, Jaquimeyes 910001 Jimaní, La Descubierta, Guayabal (Independencia), Postrer Rio 910002 Duvergé, Cristóbal, Mella 916001 Pedernales, Oviedo, Juancho Geography: A-E Variables -- HOUSEHOLD Dominican Republic, Subregions SUBRDO indicates the sub-region within Dominican Republic in which the household was enumerated. SUBRDO is harmonized by name and does not account for boundary changes over time. The full set of geography variables for Dominican Republic 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. 01 Cibao Norte 02 Cibao Sur 03 Cibao Nordeste 04 Cibao Noroeste 05 Valdesia 06 Enriquillo 07 El Valle 08 Yuma and Higuamo 10 Ozama 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 Receives remittances REMITT indicates whether the household received remittances from persons living elsewhere. 0 No 1 Yes 8 Unknown 9 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 Air conditioning This variable indicates whether the household had air conditioning. 00 NIU (not in universe) 10 No air conditioning 20 Yes, air conditioning 21 1 unit or room 22 2 units or rooms 23 3 units or rooms 24 4 units or rooms 25 5 units or rooms 26 6 units or rooms 27 7 units or rooms 28 8 or more units or rooms 29 Central system 99 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Computer COMPUTER indicates whether the household had a personal computer. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Clothes washing machine WASHER indicates whether the household had a clothes washing machine. 0 NIU (not in universe) 1 No 2 Yes 3 Automatic or semi-automatic 4 Wringer or other non-automatic 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material FLOOR indicates the dwelling's predominant flooring material. 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Roof material This variable indicates the dwelling's predominant roofing material. 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD 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 Dominican Republic 2002: All households This variable indicates the household dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Household number (within dwelling) Dominican Republic 2002: All households This variable indicates the household number within the dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Number of persons in household Dominican Republic 2002: All households This variable indicates the number of persons in a household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Dominican Republic 2002: All households This variable indicates that the dwelling was created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Region Dominican Republic 2002: All households This variable indicates the household's geographical region of residence. 1 National district 2 Valdesia 3 Este 4 Nordeste 5 Cibao Central 6 Norcentral 7 Noroeste 8 Region del Valle 9 Enriquillo Geography: A-E Variables -- HOUSEHOLD Urban rural status Dominican Republic 2002: All households This variable indicates the household's zone of residence (urban or rural). 1 Urban 2 Rural Geography: A-E Variables -- HOUSEHOLD Dwelling type <span class="h1">Section II - Characteristics of the dwelling</span></p> <p>If the dwelling is occupied with persons present, answer questions 1 through 6 on the basis of observation and then continue with the other questions.</p> <p>If the dwelling is unoccupied, or occupied with persons abfsent, answer questions 1 and 3 on the basis of observation and then move to the next dwelling.</p> <p>1. Type of dwelling</p> <div class="i1">a. Private dwelling</div><div class="i2">[] 1 Independent house <br />[] 2 Apartment<br />[] 3 Room in a bunkhouse or in rear of premises<br />[] 4 Room in <span class="lang">barracón</span><br />[] 5 Premises not intended for habitation <br />[] 6 Dwelling under construction <br />[] 7 Housing shared as business<br />[] 8 Other type of private dwelling</div><div class="i1">b. Collective dwellings</div><div class="i2">[] 9 Hotel, pension or guesthouse <br />[] 10 Military quarters<br />[] 11 Prison<br />[] 12 Hospital or health center<br />[] 13 Religious institution or boarding school <br />[] 14 Other</div> <span class="h3">Section II Housing Characteristics </span></p> <p>A dwelling is any space or locale that is inhabited or constructed for residence, separated or independent, for permanent or temporary housing for people related or not. </p> <p>Also, a dwelling is any type of shelter, fixed or mobile, occupied for housing. For example: a van, a wagon, a cave, an abandoned bus, etc.</p> <p>The dwellings should have an independent entrance, meaning, you should not go or leave the dwelling through another one. Dwellings should have walls, barriers or fences and a ceiling. </p> <p><span class="pg">[PAGE 14]</span></p> <p>Often times a dwelling can be a business, store or shop, which contains a space where people reside or sleep. </p> <p>It should be consider built-in parts of the dwelling: rooms with an entrance or structures annexed to the principal dwelling, used by household members, including maids or home assistance workers. </p> <p>In case that the dwelling is occupied or not, but with no one there, record per observation questions 1,2 and 3, and then go to the following household. </p> <p>In case that the dwelling is occupied with residents there, fill in by observation questions 1-6 and continue with the questionnaire.</p> <p><span class="em">Questions 1: Household type </span></p> <p><span class="em">a) Household: </span> <br />Is that one which is inhabited by a person or group of people. It could be an independent house, an apartment, a room in a bunkhouse, a barrack, etc. A household can contain more than one home. [Three images of different household types]</p> <p><span class="em">1. Independent House: </span>place where people to enter and exit their house do not have to go through another one. An independent house can have direct access from the street or from the backyard, corridor or communal stairs. <br /><span class="em">2. Apartment: </span>part of a building that has an independent entrance from a corridor or stairs and has access to a street. <br /><span class="em">3. Room in a bunkhouse or in the back of premises</span>: unit of rooms generally in backyards or alleys. <br /><span class="em">4. Room in <span class="lang">barracón</span>: </span>unit of rooms with a common roof that are found in <span class="lang">bateyes</span>, settlements or communities that developed around the sugar industry, or in temporary housing sites established to house victims of natural disasters. <br /><span class="em">5. Premises not intended for housing: </span>space that was not originally designated as a place to live, however is being used as such during the census; for example, a garage, a barn, etc.</p> <p><span class="pg">[PAGE 15]</span></p> <p><span class="em">6. House in construction: </span> house or dwelling that is partially constructed or in construction and can house people permanently or provisionally. </p> <p><span class="em">7. Housing shared with business: </span>house that is used as a business. </p> <p><span class="em">8. Other: </span>house built with recycled materials or improvised housing.</p> <p>[Box: A Collective Household does not have a household head]</p> <p><span class="em">b) Collective Household</span></p> <p>A house that is a collective household, means a group of people with no family ties that for reasons such as health, work, religion, studies, discipline, accommodation, etc. live together. </p> <p>A collective household could be: a hotel, a boarding house, a military or police barracks, a prison, a hospital or health center, a religious institutions or boarding schools or any other type such as nursing home, or a shelter. Dominican Republic 2002: All households This variable indicates the household dwelling type. 01 Independent house 02 Apartment 03 Room in bunkhouse or in rear of premises 04 Room in barracón 05 Premises not intended for habitation 06 Housing under construction 07 Housing shared as business 08 Other type of private dwelling 09 Hotel, pension, or guest house 10 Military quarters 11 Prison 13 Religious institution or boarding school 14 Other type of collective dwelling Group Quarters Variables -- HOUSEHOLD Dwelling access <span class="h1">Section II - Characteristics of the dwelling</span></p> <p>If the dwelling is occupied with persons present, answer questions 1 through 6 on the basis of observation and then continue with the other questions.</p> <p>If the dwelling is unoccupied, or occupied with persons abfsent, answer questions 1 and 3 on the basis of observation and then move to the next dwelling.</p> <p>2. This dwelling is reached by: </p> <div class="i1">[] 1 Paved street/road<br />[] 2 Unpaved street/road<br />[] 3 Alley or road <br />[] 4 Staircase <br />[] 5 Other</div> <span class="em">Question 2: You arrive to the household by: </span></p> <p>The purpose of this question is to determine the accessibility to the household, in other words: is about knowing if you arrive to the household by a street, or a paved street or other type of path. In this case, record per observation the best fitting answer, filling in the corresponding bubble. Dominican Republic 2002: All households This variable indicates the household dwelling access. 1 Paved street or road 2 Unpaved street or road 3 Alley or road 4 Staircase 5 Other Other Household Variables -- HOUSEHOLD Occupancy status <span class="h1">Section II - Characteristics of the dwelling</span></p> <p>If the dwelling is occupied with persons present, answer questions 1 through 6 on the basis of observation and then continue with the other questions.</p> <p>If the dwelling is unoccupied, or occupied with persons abfsent, answer questions 1 and 3 on the basis of observation and then move to the next dwelling.</p> <p>3. This dwelling is:</p> <div class="i1">[] 1 Occupied with present residents <br />[] 2 Occupied with absent residents<br />[] 3 Unoccupied</div> <span class="em">Question 3: This household is: </span></p> <p>This question intends to establish the condition in which you find the household, for example, if the house is occupied and has household members present or absent, or if it is a vacant household. Fill in the bubble that correctly records your observation. </p> <p><span class="pg">[PAGE 16]</span></p> <p><span class="em">1. Occupied Household with residents</span>: refers to a household where there is at least one permanent resident at the moment of the census</p> <p><span class="em">2. Occupied Household with absent residents: </span>is when the household is closed and no residents are present.</p> <p>In this case, ask the neighbors or in the closest households for a good time when the residents of that household are present. Then, once you know when, you should return to conduct the census. </p> <p><span class="em">3. Vacant Household: </span>If the house is closed, with FOR RENT or FOR SALE sign option. <br />3. If there is no sign, ask the neighbors about the household's situation. If they tell you that no one lives there, fill in the bubble for option 3 and continue to the next household. Dominican Republic 2002: All households This variable indicates the dwelling occupancy status. 1 Occupied with present residents 2 Occupied with absent residents 3 Vacant Technical Household Variables -- HOUSEHOLD Outer walls material [Questions 4-6] only for dwellings that are occupied with persons present</p> <p><span class="em">Main construction material of:</span></p> <p>4. Outside walls:</p> <div class="i1">[] 1 Block or concrete <br />[] 2 Wood<br />[] 3 Palm planks<br />[] 4 Wood planks (<span class="lang">tejamanil</span>) <br />[] 5 Palm leaves (<span class="lang">yagua</span>)<br />[] 6 Other</div> <span class="em">Question 4: Main Materials of the exterior walls in the household.</span></p> <p>By observation, fill in the correct answer for the main material of the (exterior) walls of the household. If there is more that one material, record the main one. If there are equal proportions of two or more materials, record the one with the best quality. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates the material of the dwelling outer walls. 0 NIU (not in universe) 1 Block or concrete 2 Wood 3 Palm planks 4 Wood planks 5 Palm leaves 6 Other Dwelling Characteristics Variables -- HOUSEHOLD Roof material [Questions 4-6] only for dwellings that are occupied with persons present</p> <p><span class="em">Main construction material of:</span></p> <p>5. Roofing:</p> <div class="i1">[] 1 Concrete <br />[] 2 Zinc<br />[] 3 Asbestos cement<br />[] 4 Palm leaves (<span class="lang">yagua</span>)<br />[] 5 Cane <br />[] 6 Other</div> <span class="em">Question 4: Main Materials of the exterior walls in the household.</span></p> <p>By observation, fill in the correct answer for the main material of the (exterior) walls of the household. If there is more that one material, record the main one. If there are equal proportions of two or more materials, record the one with the best quality. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates the material of the dwelling roof. 0 NIU (not in universe) 1 Concrete 2 Zinc 3 Asbestos 4 Palm leaves 5 Cane 6 Other Dwelling Characteristics Variables -- HOUSEHOLD Floor material [Questions 4-6] only for dwellings that are occupied with persons present</p> <p><span class="em">Main construction material of:</span></p> <p>6. Flooring:</p> <div class="i1">[] 1 Granite, marble, or ceramic <br />[] 2 Tile<br />[] 3 Cement <br />[] 4 Dirt <br />[] 5 Wood <br />[] 6 Other</div> <span class="em">Question 4: Main Materials of the exterior walls in the household.</span></p> <p>By observation, fill in the correct answer for the main material of the (exterior) walls of the household. If there is more that one material, record the main one. If there are equal proportions of two or more materials, record the one with the best quality. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates the material of the dwelling floor. 0 NIU (not in universe) 1 Granite, marble or ceramic 2 Tile 3 Cement 4 Dirt 5 Wood 6 Other Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms <span class="em">Rooms of the dwelling</span></p> <p>7. How many rooms does this dwelling have altogether, excluding bathrooms, kitchen, corridors and garage?</p> <div class="i1">Rooms _ _</div> <span class="em">Question 7: How many rooms does the household have, not counting bathrooms, kitchen, hallways or garage? </span></p> <p>Record in the box the number of corresponding rooms that the household has not counting bathrooms, kitchen, hallways or garage. Dominican Republic 2002: Occupied households in private dwellings [discrepancies: none] This variable indicates the number of rooms in the dwelling. 00 NIU (not in universe) 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ Dwelling Characteristics Variables -- HOUSEHOLD Kitchen <span class="em">Rooms of the dwelling</span></p> <p>8. Does this dwelling have a kitchen? </p> <div class="i1">[] 1 Yes, inside the dwelling<br />[] 2 Yes, outside the dwelling <br />[] 3 No</div> <span class="em">Question 8: Does this household have a kitchen?</span></p> <p>If the person answers "YES" ask also if the kitchen is inside or outside the house, then fill in the answer accordingly to the correct answer. In the case that the house does not have a kitchen, record option 3. Dominican Republic 2002: Occupied households in private dwellings [discrepancies: none] This variable indicates whether or not the dwelling has a kitchen and where it is located. 1 Yes, inside the dwelling 2 Yes, outside the dwelling 3 No 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Pollution: stagnant water <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that households experience pollution in the form of stagnant water. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: waste <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that households experience waste pollution. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: polluted irrigation canal <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution in the form of a polluted irrigation canal. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: vehicle noise <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution in the form of vehicle noise. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: farm <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution due to a farm. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: smoke or gas from factory <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution in the form of smoke or gas from factory. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: factory noise <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution in the form of factory noise. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: factory waste <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution in the form of factory waste. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: power plant <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution from a power plant. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: gas plant <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution from a gas plant. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: fuel pump <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution from a fuel pump. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Pollution: loud music <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household experiences pollution in the form of loud music. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD No pollution <span class="em">Environmental pollution </span></p> <p>9. Which of the following sources of pollution exist close to the dwelling? Read each alternative and mark those for which the answer is yes.</p> <div class="i1">[] a Stagnant water <br />[] b Accumulation of garbage<br />[] c Irrigation canal containing garbage or polluted water <br />[] d Noise from vehicles or engines<br />[] e Pigsty or farm <br />[] f Factory smoke/gases<br />[] g Factory or workshop noises<br />[] h Waste material from factory, workshop, clinic etc. <br />[] i Noise and smoke from electric power plant<br />[] j Gas bottling plant <br />[] k Gasoline station<br />[] l Loud music from bars, take-aways (colmados), or neighbors<br />[] m No pollution</div> <span class="em">Question 9: What are the main sources of pollution in this household?</span></p> <p>[In box: Notice that in this questions there could be more than one answer.] Read slowly all the possible answers, and fill in all the indicated answers. Dominican Republic 2002: Occupied households [discrepancies: none] This variable indicates that the household does not experience pollution. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Number of bedrooms in dwelling Dominican Republic 2002: Occupied households in private dwellings [discrepancies: none] This variable indicates the count of bedrooms in the dwelling. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Constructed Household Variables -- HOUSEHOLD Source for the dwelling information Dominican Republic 2002: All households This variable indicates the source for the dwelling information (census or imputation). 1 Census 2 Imputation Other Household Variables -- HOUSEHOLD Household number within dwelling <span class="h1">Section I - Identification</span></p> <p>No. of file (copy the file number here) _ _ _ _ _ _ _ <br />No. of dwelling interviewed _ _ <br />No. of household within the dwelling _ <br />Street, highway or road ____ <br />House/building No. ____ <br />Floor ____ <br />Apartment No. ____ <span class="h3">Section I Identification </span></p> <p>Folder Number. Write in the boxes the number of the folder corresponding to the number in the front of the folder. [Image of the boxes where number goes]</p> <p>Cluster number. You should record 01 in the first surveyed household, 02 for the second, 03 for the third and so on, until you include all households in your assigned area.</p> <p>Number of order of the household in the dwelling. For the first household, write 1 in the correct box. If the dwelling contains more than one household, you should record each one, writing 2 for the second household, 3 for the third one, 4 for the fourth one and so on. <br />[Image of the boxes where number goes]</p> <p>Write the name of the street, road or dirt road, the house number or building number, apartment number or floor number. Dominican Republic 2002: Occupied designated households [discrepancies: not verifiable] This variable indicates the household number within dwelling. 1 1 2 2 3 3 4 4 5 5+ 9 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Household type Dominican Republic 2002: Occupied designated households [discrepancies: none] This variable indicates the household type. 1 Single person 2 Nuclear 3 Extended 4 Compound 5 Collective 9 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Tenancy <span class="em">Tenancy of the dwelling</span> <br />11. This dwelling (or the part of it that is occupied by this household) is:</p> <div class="i1">(Read all options and mark just one):<br /><br />[] 1 Rented<br />[] 2 Owned by the household, paying mortgage<br />[] 3 Owned by the household, paid off<br />[] 4 Given or lent<br />[] 5 Other</div> <span class="em">Question 11: This household (or part of it) is:</span></p> <p>Read each option and fill in only one. If the ownership or possession of the house is none of the options on 1-4, fill in option 5 (other). Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates the household tenancy. 1 Rented 2 Owned, paying mortgage 3 Owned, paid off 4 Given or lent 5 Other 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Number bedrooms in household <span class="em">Bedrooms</span> <br />12. How many bedrooms does this dwelling have? </p> <div class="i1">Bedrooms _ _</div> <span class="em">Question 12: How many rooms or bedrooms are in this household?</span></p> <p>Write down in the box the number of all of the rooms in the household. Do not include the ones that are used for sleeping at night and during the day are used for other purposes. Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates the number of bedrooms in the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Cooking fuel <span class="em">Fuel for cooking</span> <br />13. What fuel is mainly used for cooking in this household?</p> <div class="i1">[] 1 Propane gas <br />[] 2 Coal <br />[] 3 Firewood <br />[] 4 Electricity <br />[] 5 Other<br />[] 6 Household does not cook</div> <span class="em">Question 13: What type of fuel does your household mainly use for cooking? </span></p> <p>Fill in the bubble according to the answer. If the household cooks with more than one fuel, fill in the option that is mainly used. </p> <p>If in the household they do not cook, fill in option 6 (no cooking). </p> <p>If they cook with other fuel than natural gas, firewood or electricity, fill in option 5 (other). Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates the type of cooking fuel used by the household. 1 Propane gas 2 Charcoal 3 Wood 4 Electricity 5 Other 6 Does not cook 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Type of lighting <span class="em">Lighting</span> <br />14. What type of lighting is used in this household?</p> <div class="i1">[] 1 Energy from the electricity grid <br />[] 2 Energy from own generator<br />[] 3 Propane gas lamp<br />[] 4 Kerosene gas lamp <br />[] 5 Other</div> <span class="em">Question 14: What type of electricity does your household use?</span></p> <p>Fill in the bubble according to the answer. Keep in mind that this refers to a permanent source of electricity, </p> <p>Fill in the bubble according to the option ("other") if the type of electricity is different than the options provided in the question. Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates the type of lighting used by the household. 1 Public electricity 2 Electricity from own generator 3 Propane lamp 4 Kerosene lamp 5 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Water source <span class="em">Water source</span> <br />15. Where does the water for washing, cleaning, bathing, etc., used in this household come from?</p> <div class="i1">[] 1 Water conduit inside the house<br />[] 2 Water conduit in the yard of the house<br />[] 3 Public tap<br />[] 4 Spring, river, stream <br />[] 5 Well<br />[] 6 Rainfall <br />[] 7 Tanker truck <br />[] 8 Other</div> <span class="em">Question 15: What is the principal source of water used to wash, scrub, shower, etc. in this household?</span></p> <p>Fill in the correct given answer. If the household water source is more than one, record the one mainly used. </p> <p>If the water source is not any of the options provided from 1-7, fill in option 8 (other).</p> <p>If the interviewee tells you that the water source comes from a broken tube or pipe on the street, back yard, plot or other place, fill in option 3 (From water conduit, piped in water) Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates the household's main water source. 01 Water conduit inside house 02 Water conduit in yard of house 03 Public tap 04 Spring, river, stream 05 Well 06 Rainwater 07 Water truck 08 Other 99 NIU (not in universe) Utilities Variables -- HOUSEHOLD Toilet facility <span class="em">Sanitary facility</span> <br />16. What type of sanitary facility does the household have?</p> <div class="i1">[] 1 Toilet <br />[] 2 Latrine <br />[] 3 None</div> <span class="em">Question 16: What kind of toilet facility does your household have?</span></p> <p>Fill in the option 1 if there is a toilet, 2 if latrine (outside or inside the house). If the house does not have any type of bathroom, fill in option 3 (none) and skip to question 19. Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates the type of toilet facility used by the household. 1 Toilet 2 Latrine 3 None 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Shared bathroom 17. Does this household share its sanitary facility with other households? </p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">Question 16: What kind of toilet facility does your household have?</span></p> <p>Fill in the option 1 if there is a toilet, 2 if latrine (outside or inside the house). If the house does not have any type of bathroom, fill in option 3 (none) and skip to question 19.</p> <p><span class="em">Question 17: Does your household share a bathroom with other households?</span></p> <p>Fill in the correct choice to the question. Dominican Republic 2002: Private occupied designated households that have a toilet facility [discrepancies: none] This variable indicates if the bathroom is shared. 1 Yes 2 No 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Waste removal <span class="em">Waste removal</span> <br />18. How does this household eliminate its waste material?</p> <div class="i1">[] 1 Collected by public sanitation service<br />[] 2 Collected by private sanitation service <br />[] 3 Burned<br />[] 4 Thrown in yard or lot <br />[] 5 Put in garbage dump <br />[] 6 Thrown in river or canal <br />[] 7 Other</div> <span class="em">Question 18: How does the garbage get disposed of in this household?</span></p> <p>Fill in the correct choice according to how it gets disposed. Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates the main type of waste removal for the household. 1 Collected by public sanitation service 2 Collected by private sanitation service 3 Burned 4 Thrown in yard or lot 5 Put in garbage dump 6 Thrown in river or canal 7 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Refrigerator <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has a refrigerator. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Stove <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has a stove. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Washing machine <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has a washing machine. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has a television. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Air conditioning <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has air conditioning. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio/stereo <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has a radio or stereo. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Car <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has a car. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Cistern <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has a cistern. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Computer <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has a computer. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Converter <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has a converter. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Generator <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household owns a generator. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Landline or cellphone <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household owns a landline or cellphone. 1 Yes 2 No 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Internet <span class="em">Household goods and services</span> <br />19. Which of the following articles or services does this household have?</p> <div class="i1">(Read each option and mark those for which the answer is yes)<br /><br />[] a. Refrigerator <br />[] b. Stove<br />[] c. Washing machine <br />[] d. Television<br />[] e. Air conditioning <br />[] f. Radio/music equipment <br />[] g. Private automobile <br />[] h. Cistern or water tank <br />[] i. Computer<br />[] j. Converter <br />[] k. Generator <br />[] l. Landline or cellphone <br />[] m. Internet</div> <span class="em">Question 19: Which of the following articles or services does your household have?</span></p> <p>Read all of the articles and services and fill in the bubble only when the answer is "yes". Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates whether the household has access to the internet. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Newborn or child not included <span class="em">Column 2</span> <br />Please tell me the names of the persons that live most of the time in this household, trying to keep to this order: head of household (entered on the first line), spouse or companion of the head of household, children, stepchildren, son/daughter-in-law, parents and parents in law, grandchildren, other family relatives (brothers/sisters, brothers/sisters-in-law, aunts/uncles, etc.), domestic worker, other non-relatives</p> <div class="i1">____</div><p>20. Is there any newborn baby or child that has not been listed? </p> <div class="i1">[] 1 Yes (Enter the data for such children in the table above)<br />[] 2 No</div> <span class="em">Section V: List of Household Members</span> <br />This section contains the list of permanent residents (present or absent during the survey), including children, newborn babies and elderly people. </p> <p>For the purpose of the census, a permanent resident is a person that lives permanently in the household. </p> <p>During the census visit, a person who has been absent from the household for less than 6 months because he/she was travelling for leisure, business, study or has been in boarding school or in the hospital or the like, or in jail with no determined sentence or in military service, is a also considered a permanent resident. </p> <p><span class="pg">[PAGE 21]</span></p> <p>In the collective households, all of the following are considered permanent residents: </p> <div class="i1">Residents admitted to a hospital, nursing home, convent or the like. <br />Residents condemned for life sentence.</div><p>Additionally, permanent residents are:</p> <p>Household workers that live in the workplace, independently of how many times they work (weekly, bi-weekly, monthly, etc.)</p> <p><span class="em">The following are not considered permanent residents and should be surveyed in their respective households:</span><div class="i1">The people that conveniently or obligatory sleep in the workplace (i.e. doctors, nurses, soldier, construction worker, seasonal agricultural worker, etc.) but that normally return to their houses. <br />Household workers that only work by day or hours (i.e. those who work from 8 AM to 5 PM), or only some days and return to their home.</div><span class="em">Question 20: Is there a newborn or child that was not included?</span></p> <p>In case that the interviewee says "yes", record the information of the newborn or child in the chart of the List of Household Members with all the information in the chart. If the answer is "no" proceed to the next question. Dominican Republic 2002: Occupied designated households [discrepancies: none] This variable indicates that a newborn or child was not included in the household. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Absent resident <span class="em">Column 2</span> <br />Please tell me the names of the persons that live most of the time in this household, trying to keep to this order: head of household (entered on the first line), spouse or companion of the head of household, children, stepchildren, son/daughter-in-law, parents and parents in law, grandchildren, other family relatives (brothers/sisters, brothers/sisters-in-law, aunts/uncles, etc.), domestic worker, other non-relatives</p> <div class="i1">____</div><p>21. Apart from the persons listed, is there any household member who lives in this dwelling most of the time, but is absent because of vacation, work, business, illness, etc.?</p> <div class="i1">[] 1 Yes (Enter the corresponding data in the table above) <br />[] 2 No</div> <span class="em">Section V: List of Household Members</span> <br />This section contains the list of permanent residents (present or absent during the survey), including children, newborn babies and elderly people. </p> <p>For the purpose of the census, a permanent resident is a person that lives permanently in the household. </p> <p>During the census visit, a person who has been absent from the household for less than 6 months because he/she was travelling for leisure, business, study or has been in boarding school or in the hospital or the like, or in jail with no determined sentence or in military service, is a also considered a permanent resident. </p> <p><span class="pg">[PAGE 21]</span></p> <p>In the collective households, all of the following are considered permanent residents: </p> <div class="i1">Residents admitted to a hospital, nursing home, convent or the like. <br />Residents condemned for life sentence.</div><p>Additionally, permanent residents are:</p> <p>Household workers that live in the workplace, independently of how many times they work (weekly, bi-weekly, monthly, etc.)</p> <p><span class="em">The following are not considered permanent residents and should be surveyed in their respective households:</span><div class="i1">The people that conveniently or obligatory sleep in the workplace (i.e. doctors, nurses, soldier, construction worker, seasonal agricultural worker, etc.) but that normally return to their houses. <br />Household workers that only work by day or hours (i.e. those who work from 8 AM to 5 PM), or only some days and return to their home.</div><span class="em">Question 21: Besides all people mentioned, is there any household member that is not present and is travelling for leisure, business, study or has been in the hospital, etc.?</span></p> <p>If the answer is "yes" record the information of that person in the chart of the List of Household Members. Dominican Republic 2002: Occupied designated households [discrepancies: none] This variable indicates that the household has an absent resident. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Persons living abroad <span class="h1">Section VI - International emigration and remittances</span></p> <p>23. Are any persons who used to live in this household currently living outside the country?</p> <div class="i1">[] 1 Yes<br />[] 2 No (Skip to question 25)</div> <span class="em">Question 23: Any of the residents of this household live abroad? </span></p> <p>Consider all people living abroad (men, women, adolescents, children and elder people) those who being members of the household live permanently outside of the country in a different one; independently of how long they have lived abroad and are visiting for some days even during the census time in Dominican Republic.</p> <p>Fill in the bubble to the correct answer. If the answer is "No", skip to question 25. Dominican Republic 2002: Occupied designated households [discrepancies: none] This variable indicates the number of persons in the household who are living abroad. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Total males living abroad <span class="h1">Section VI - International emigration and remittances</span></p> <p>24. How many men and how many women are currently living outside the country? </p> <div class="i1">_ _ Males <br />_ _ Females</div> <span class="em">Question 23: Any of the residents of this household live abroad? </span></p> <p>Consider all people living abroad (men, women, adolescents, children and elder people) those who being members of the household live permanently outside of the country in a different one; independently of how long they have lived abroad and are visiting for some days even during the census time in Dominican Republic.</p> <p>Fill in the bubble to the correct answer. If the answer is "No", skip to question 25.</p> <p><span class="em">Question 24: How many male and/or female residents live abroad?</span></p> <p>Record in the boxes the number of male and female residents living abroad. If all are men record the number of them living abroad and 00 in the female boxes; on the contrary, if all are women living abroad record the number and then record 00 in the male boxes. Dominican Republic 2002: Occupied designated households with persons living abroad [discrepancies: none] This variable indicates the total number of males living abroad. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) Other Household Variables -- HOUSEHOLD Total females living abroad <span class="h1">Section VI - International emigration and remittances</span></p> <p>24. How many men and how many women are currently living outside the country? </p> <div class="i1">_ _ Males <br />_ _ Females</div> <span class="em">Question 23: Any of the residents of this household live abroad? </span></p> <p>Consider all people living abroad (men, women, adolescents, children and elder people) those who being members of the household live permanently outside of the country in a different one; independently of how long they have lived abroad and are visiting for some days even during the census time in Dominican Republic.</p> <p>Fill in the bubble to the correct answer. If the answer is "No", skip to question 25.</p> <p><span class="em">Question 24: How many male and/or female residents live abroad?</span></p> <p>Record in the boxes the number of male and female residents living abroad. If all are men record the number of them living abroad and 00 in the female boxes; on the contrary, if all are women living abroad record the number and then record 00 in the male boxes. Dominican Republic 2002: Occupied designated households with persons living abroad [discrepancies: none] This variable indicates the total number of females living abroad. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) Other Household Variables -- HOUSEHOLD Remittances <span class="h1">Section VI - International emigration and remittances</span></p> <p>25. Do any of the members of this household receive money regularly from abroad? </p> <div class="i1">[] 1 Yes<br />[] 2 No (Skip to question 27)</div> <span class="em">Question 25: Do any of the permanent residents of the household receive money from abroad?</span></p> <p>Fill in the correct answer. If the answer is "No" skip to question 27 of Section VII. Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates if the household is receiving remittances. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Value of monthly remittances <span class="h1">Section VI - International emigration and remittances</span></p> <p>26. On average, how much money is received from abroad each month? Enter the amount in Dominican pesos </p> <div class="i1">_____ RD$</div> <span class="em">Question 26: In average, what is the amount of money that is received from abroad?</span></p> <p>Record the approximate total amount (in Dominican pesos) that the household resident(s) receive from abroad. If the declared amount is in another currency (dollar, euro, Spanish peseta, Dutch guilder, etc.) ask the interviewee for an estimate of the amount in Dominican pesos. Dominican Republic 2002: Private occupied designated households receiving remittances [discrepancies: none] This variable indicates the value of monthly remittances received by the household. This is a 7-digit numeric variable with 0 implied decimal places Household Economic Variables -- HOUSEHOLD Origin of registration information Dominican Republic 2002: Occupied designated households [discrepancies: none] This variable indicates the origin of registration information for the household (census or imputation). 1 Census 2 Imputation 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Overcrowding Dominican Republic 2002: Private occupied designated households [discrepancies: none] This variable indicates if the household experiences overcrowding. 1 No overcrowding 2 Overcrowding 3 Extreme overcrowding 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Strata Dominican Republic 2002: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 5-digit numeric variable with 0 implied decimal places Geography: A-E Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 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 9999 Unknown Demographic Variables -- PERSON Month of birth BIRTHMO indicates the person's month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children ever born CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. 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 Number of male children ever born CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. 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 Number of female children surviving CHSURVF indicates the number of female children ever born to a woman 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children surviving CHSURVM indicates the number of male children ever born to a woman 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+ 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 Mortality status of mother MORTMOT indicates whether the person's biological mother was still living at the time of the census. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON 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 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 Municipality of birth, Dominican Republic BPLDO indicates the person's municipality of birth within Dominican Republic. BPLDO is harmonized by name, not by boundary changes. 0101 Santo Domingo de Guzman 0201 Azua 0202 Las Charcas 0203 Las Yayas de Viajama 0204 Padre las Casas 0205 Peralta 0206 Sabana Yegua 0207 Pueblo Viejo 0208 Tabara Arriba 0209 Guayabal 0210 Estebanía 0211 Palmar de Ocoa 0212 Villarpando 0301 Neiba 0302 Galvan 0303 Tamayo 0304 Villa Jaragua 0305 Los Ríos 0306 Uvilla 0307 El Palmar 0401 Barahona 0402 Cabral 0403 Enriquillo 0404 Paraiso 0405 Vicente Noble 0406 El Peñon 0407 La Cienaga 0408 Fundación 0409 Las Salinas 0410 Polo 0411 Jaquimeyes 0412 Canoa 0413 El Cachón 0414 Pescadería 0501 Dajabón 0502 Loma de Cabrera 0503 Partido 0504 Restauración 0505 El Pino 0601 San Francisco de Macorís 0602 Arenoso 0603 Castillo 0604 Pimentel 0605 Villa Riva 0606 Las Guáranas 0607 Eugenio Maria de Hostos 0608 Agua Santa del Yuna 0609 Cristo Rey de Guaraguao 0610 La Peña 0611 Cenoví 0699 Other Duarte Province 0701 Comendador 0702 Banica 0703 El Llano 0704 Hondo Valle 0705 Pedro Santana 0706 Juan Santiago 0707 Río Limpio 0801 El Seibo 0802 Miches 0803 Pedro Sánchez 0901 Moca 0902 Cayetano Germosén 0903 Gaspar Hernández 0904 Jamao al Norte 0905 José Contreras 0906 San Víctor 0907 Joba Arriba 0908 Veragua 0909 Juan López 1001 Jimaní 1002 Duvergé 1003 La Descubierta 1004 Postrer Río 1005 Cristóbal 1006 Mella 1007 Guayabal (Independencia) 1101 Higüey 1102 San Rafael del Yuma 1103 Las Lagunas de Nisibón 1104 La Otra Banda 1105 Boca de Yuma 1201 La Romana 1202 Guaymate 1203 Villa Hermosa 1301 La Vega 1302 Constanza 1303 Jarabacoa 1304 Jima Abajo 1305 Tireo 1306 Río Verde Arriba 1307 Rincón 1401 Nagua 1402 Cabrera 1403 El Factor 1404 Río San Juan 1405 San José de Mantanzas 1406 Arroyo Salado 1407 La Entrada 1408 El Pozo 1501 Monte Cristi 1502 Castañuelas 1503 Guayubín 1504 Las Matas de Santa Cruz 1505 Pepillo Salcedo 1506 Villa Vásquez 1507 Villa Elisa 1508 Hatillo Palma 1509 Cana Chapetón 1601 Pedernales 1602 Oviedo 1603 Juancho 1701 Baní 1702 Nizao 1703 Mantanzas 1704 Villa Fundación 1705 Sabana Buey 1706 Pizarrete 1707 Santana 1708 Paya 1801 Puerto Plata 1802 Altamira 1803 Guananico 1804 Imbert 1805 Los Hidalgos 1806 Luperón 1807 Sosúa 1808 Villa Isabela 1809 Villa Montellano 1810 Estero Hondo 1811 La Isabella 1901 Salcedo 1902 Tenares 1903 Villa Tapa 1904 Blanco 2001 Samaná 2002 Sánchez 2003 Las Terrenas 2101 San Cristóbal 2102 Sabana Grande de Palenque 2103 Bajos de Haina 2104 Cambita Garabitos 2105 Villa Altagracia 2106 Yaguate 2107 San Gregorio de Nigua 2108 Los Cacaos 2109 El Carril 2201 San Juan 2202 Bohechio 2203 El Cercado 2204 Juan de Herrera 2205 Las Matas de Farfán 2206 Vallejuelo 2207 Matayaya 2208 Pedro Corto 2301 San Pedro de Macorís 2302 Los Llanos 2303 Ramón Santana 2304 Consuelo 2305 Quisqueya 2306 Guayacanes 2307 El Puerto 2401 Cotuí 2402 Cevicos 2403 Fantino 2404 La Mata 2405 La Cueva 2501 Santiago 2502 Bisonó 2503 Jánico 2504 Licey Al Medio 2505 San José de las Matas 2506 Tamboril 2507 Villa González 2508 Punal 2509 Sabana Iglesia 2510 Baitoa 2511 La Canela 2512 El Rubio 2513 Juncalito 2514 Palmar Arriba 2515 Pedro Garcia 2601 San Ignacio de Sabaneta 2602 Villa los Almácigos 2603 Monción 2701 Mao 2702 Esperanza 2703 Laguna Salada 2704 Amina 2705 Maizal 2706 Jaibon (Pueblo Nuevo) 2707 Guatapanal 2708 Jicomé 2709 Jaibon (Laguna Salada) 2710 La Caya 2801 Bonao 2802 Maimón 2803 Piedra Blanca 2804 Villa de Sonador 2805 Sabana del Puerto 2806 Juan Adrián 2901 Monte Plata 2902 Bayaguana 2903 Sabana Grande de Boya 2904 Yamasá 2905 Peralvillo 2906 Gonzalo 2907 Los Botados 2908 Majagual 2909 Don Juan 3001 Hato Mayor 3002 Sabana de la Mar 3003 El Valle 3004 Elupina Cordero de las Cañitas 3005 Yerba Buena 3006 Mata Palacio 3007 Guayabo Dulce 3101 San José de Ocoa 3102 Sabana Larga 3103 Rancho Arriba 3104 La Cienaga (San José de Ocoa) 3201 Santo Domingo Este 3202 Santo Domingo Oeste 3203 Santo Domingo Norte 3204 Boca Chica 3205 San Antonio de Guerra 3206 Los Alcarrizos 3207 Pedro Brand 3208 La Victoria 5000 Foreign country 9998 Unknown Nativity and Birthplace Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Dominican Republic EDUCDO indicates the person's educational attainment in the Dominican Republic in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 200 Preschool 201 Preschool, year 1 202 Preschool, year 2 203 Preschool, year 3 204 Preschool, not complete 205 Preschool, complete 300 Primary, less than 1 year 301 Primary, year 1 302 Primary, year 2 303 Primary, year 3 304 Primary, year 4 305 Primary, year 5 306 Primary, year 6 307 Primary, year 7 308 Primary, year 8 309 Primary, year unknown 401 Intermediate, year 1 402 Intermediate, year 2 403 Intermediate, year unknown 410 Secondary, less than 1 year 411 Secondary, year 1 412 Secondary, year 2 413 Secondary, year 3 414 Secondary, year 4 415 Secondary, year unknown 421 Reformed secondary, year 1 422 Reformed secondary, year 2 423 Reformed secondary, year 3 424 Reformed secondary, year 4 425 Reformed secondary, year 5 426 Reformed secondary, year 6 500 University, less than 1 year 501 University, year 1 502 University, year 2 503 University, year 3 504 University, year 4 505 University, year 5 506 University, year 6 507 University, year 7 508 University, year 8 509 University, year unknown 510 Speciality 511 Speciality, year 1 512 Speciality, year 2 520 Masters 521 Masters, year 1 522 Masters, year 2 523 Masters, year 3 530 Doctorate 531 Doctorate, year 1 532 Doctorate, year 2 533 Doctorate, year 3 534 Doctorate, year 4 998 Unknown Education Variables -- PERSON Reason for leaving school LEFTSCH reports the primary reason the respondent cited for leaving school. 00 NIU (not in universe) 10 Finished studies 20 Financial considerations 21 Insufficient economic means 22 Working 30 Access to a school 31 School too far away 32 No school (or teacher) available 33 No higher grades offered 34 No places available in school 40 Family reasons 41 Parents think it is not important 42 Family required for household tasks 43 Marriage or pregnancy 44 Got married or entered a consensual union 45 Pregnancy 46 Separation or death of parents 50 Other reasons 51 Never attended school 52 Did not want to attend or to study 53 Too young to attend 54 Too old to attend 55 Illness/disability 56 No required documentation available to enroll 57 Academic issues 58 Learning outside of school 59 Other, not elsewhere classified 99 Unknown/missing 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 Sector of employment EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked. 00 NIU (not in universe) 10 Public 20 Private 21 Private, not elsewhere classified 22 Individual/family enterprise, and self-employed 23 Foreign 30 Mixed: public-private or parastatal 40 Collective or cooperative 50 Foreign government or non-governmental organization 60 Other, unspecified 61 Canal zone 62 Faith-based organization 63 Informal sector 99 Unknown Work Variables -- PERSON Available to work WRKAVAIL indicates whether a person is available to work (readiness) within a short period of time. 1 Yes 2 No 8 Unknown 9 NIU (Not in universe) Work Variables -- PERSON Total income INCTOT reports the person's total personal income from all sources in the previous month or year. INCTOT is a 7-digit numeric variable. Codes9999998 = Unknown/missing. 9999999 = NIU (not in universe). Top codes:Brazil 1991: 9,999,997+ Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions Canada 1991-2001: 200,000+ Dominican Republic 1981: 3,000+ Dominican Republic 2002: 500,000+ Indonesia 1976: 600,000+ Mexico 1970: 5,500,000+ Panama 2010: 10,000+ Puerto Rico 1980: 50,000+ South Africa 1996: 360,001+ South Africa 2001-2011: 2,457,601+ Trinidad and Tobago 1970: 1,200+ Trinidad and Tobago 2000: 13,000+ U.S.A. 1960: 25,000+ U.S.A. 1970: 50,000+ U.S.A. 1980: 75,000+ U.S.A. 1990: State median of values over 400,000 U.S.A. 2000: 999,998+ Bottom codes:Canada 1981-2001: -50,000 Puerto Rico 2005-2020: -19,998 U.S.A. 1960: -9,900 U.S.A. 1970: -9,900 U.S.A. 1980: -9,995 U.S.A. 1990, 2005-2020: -19,998 U.S.A. 2000: -20,000 Income 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 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 Province of residence 5 years ago, Dominican Republic; consistent boundaries, GIS MIG1_5_DO indicates the province in Dominican Republic where the person lived 5 years ago. 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. 214001 Distrito Nacional, Santo Domingo 214002 Azua 214003 Baoruco, Barahona, Independencia 214005 Dajabón 214006 Duarte 214007 Elías Piña 214008 El Seibo, Hato Mayor 214009 Espaillat 214011 La Altagracia, La Romana 214013 Monseñor Nouel, La Vega 214014 María Trinidad Sánchez 214015 Monte Cristi 214016 Pedernales 214017 San José de Ocoa, Peravia 214018 Puerto Plata, Santiago 214019 Hermanas Mirabal 214020 Samaná 214021 San Cristóbal, Monte Plata 214022 San Juan 214023 San Pedro De Macorís 214024 Sánchez Ramírez 214026 Santiago Rodríguez 214027 Valverde 214097 Foreign country 214098 Unknown 214099 NIU (not in universe) Migration: A-E Variables -- PERSON Municipality of residence 5 years ago, Dominican Republic MIGDO indicates the province in Dominican Republic where the person lived 5 years ago. MIGDO is harmonized by name, not boundary changes. 0101 Santo Domingo de Guzman 0201 Azua 0202 Las Charcas 0203 Las Yayas de Viajama 0204 Padre las Casas 0205 Peralta 0206 Sabana Yegua 0207 Pueblo Viejo 0208 Tabara Arriba 0209 Guayabal 0210 Estebanía 0211 Palmar de Ocoa 0212 Villarpando 0301 Neiba 0302 Galvan 0303 Tamayo 0304 Villa Jaragua 0305 Los Ríos 0306 Uvilla 0307 El Palmar 0401 Barahona 0402 Cabral 0403 Enriquillo 0404 Paraiso 0405 Vicente Noble 0406 El Peñon 0407 La Cienaga 0408 Fundación 0409 Las Salinas 0410 Polo 0411 Jaquimeyes 0412 Canoa 0413 El Cachón 0414 Pescadería 0501 Dajabón 0502 Loma de Cabrera 0503 Partido 0504 Restauración 0505 El Pino 0601 San Francisco de Macorís 0602 Arenoso 0603 Castillo 0604 Pimentel 0605 Villa Riva 0606 Las Guáranas 0607 Eugenio Maria de Hostos 0608 Agua Santa del Yuna 0609 Cristo Rey de Guaraguao 0610 La Peña 0611 Cenoví 0701 Comendador 0702 Banica 0703 El Llano 0704 Hondo Valle 0705 Pedro Santana 0706 Juan Santiago 0707 Río Limpio 0801 El Seibo 0802 Miches 0803 Pedro Sánchez 0901 Moca 0902 Cayetano Germosén 0903 Gaspar Hernández 0904 Jamao al Norte 0905 José Contreras 0906 San Víctor 0907 Joba Arriba 0908 Veragua 0909 Juan López 1001 Jimaní 1002 Duvergé 1003 La Descubierta 1004 Postrer Río 1005 Cristóbal 1006 Mella 1007 Guayabal (Independencia) 1101 Higüey 1102 San Rafael del Yuma 1103 Las Lagunas de Nisibón 1104 La Otra Banda 1105 Boca de Yuma 1201 La Romana 1202 Guaymate 1203 Villa Hermosa 1301 La Vega 1302 Constanza 1303 Jarabacoa 1304 Jima Abajo 1305 Tireo 1306 Río Verde Arriba 1307 Rincón 1399 Other La Vega Province 1401 Nagua 1402 Cabrera 1403 El Factor 1404 Río San Juan 1405 San José de Mantanzas 1406 Arroyo Salado 1407 La Entrada 1408 El Pozo 1501 Monte Cristi 1502 Castañuelas 1503 Guayubín 1504 Las Matas de Santa Cruz 1505 Pepillo Salcedo 1506 Villa Vásquez 1507 Villa Elisa 1508 Hatillo Palma 1509 Cana Chapetón 1601 Pedernales 1602 Oviedo 1603 Juancho 1701 Baní 1702 Nizao 1703 Mantanzas 1704 Villa Fundación 1705 Sabana Buey 1706 Pizarrete 1707 Santana 1708 Paya 1801 Puerto Plata 1802 Altamira 1803 Guananico 1804 Imbert 1805 Los Hidalgos 1806 Luperón 1807 Sosúa 1808 Villa Isabela 1809 Villa Montellano 1810 Estero Hondo 1811 La Isabella 1901 Salcedo 1902 Tenares 1903 Villa Tapa 1904 Blanco 2001 Samaná 2002 Sánchez 2003 Las Terrenas 2101 San Cristóbal 2102 Sabana Grande de Palenque 2103 Bajos de Haina 2104 Cambita Garabitos 2105 Villa Altagracia 2106 Yaguate 2107 San Gregorio de Nigua 2108 Los Cacaos 2109 El Carril 2201 San Juan 2202 Bohechio 2203 El Cercado 2204 Juan de Herrera 2205 Las Matas de Farfán 2206 Vallejuelo 2207 Matayaya 2208 Pedro Corto 2301 San Pedro de Macorís 2302 Los Llanos 2303 Ramón Santana 2304 Consuelo 2305 Quisqueya 2306 Guayacanes 2307 El Puerto 2401 Cotuí 2402 Cevicos 2403 Fantino 2404 La Mata 2405 La Cueva 2501 Santiago 2502 Bisonó 2503 Jánico 2504 Licey Al Medio 2505 San José de las Matas 2506 Tamboril 2507 Villa González 2508 Punal 2509 Sabana Iglesia 2510 Baitoa 2511 La Canela 2512 El Rubio 2513 Juncalito 2514 Palmar Arriba 2515 Pedro Garcia 2601 San Ignacio de Sabaneta 2602 Villa los Almácigos 2603 Monción 2701 Mao 2702 Esperanza 2703 Laguna Salada 2704 Amina 2705 Maizal 2706 Jaibon (Pueblo Nuevo) 2707 Guatapanal 2708 Jicomé 2709 Jaibon (Laguna Salada) 2710 La Caya 2801 Bonao 2802 Maimón 2803 Piedra Blanca 2804 Villa de Sonador 2805 Sabana del Puerto 2806 Juan Adrián 2901 Monte Plata 2902 Bayaguana 2903 Sabana Grande de Boya 2904 Yamasá 2905 Peralvillo 2906 Gonzalo 2907 Los Botados 2908 Majagual 2909 Don Juan 3001 Hato Mayor 3002 Sabana de la Mar 3003 El Valle 3004 Elupina Cordero de las Cañitas 3005 Yerba Buena 3006 Mata Palacio 3007 Guayabo Dulce 3101 San José de Ocoa 3102 Sabana Larga 3103 Rancho Arriba 3104 La Cienaga (San José de Ocoa) 3201 Santo Domingo Este 3202 Santo Domingo Oeste 3203 Santo Domingo Norte 3204 Boca Chica 3205 San Antonio de Guerra 3206 Los Alcarrizos 3207 Pedro Brand 3208 La Victoria 5000 Foreign country 9998 Unknown 9999 NIU (not in universe) Migration: A-E Variables -- PERSON Disability status DISABLED indicates whether the person reported a disability of any kind. 0 NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown Disability Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Blind or vision-impaired DISBLND indicates whether the person was blind or had limited vision. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Deaf or hearing-impaired DISDEAF indicates whether the person was deaf or had limited hearing. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mute or speech impaired DISMUTE indicates if the person could not speak or had a significant speech impediment. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting lower extremities DISLOWR indicates whether the person lacked use of one or both legs. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting upper extremities DISUPPR indicates whether the person lacked full use of at least one arm or hand. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mental disability DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Origin of disability DISORIG indicates the cause or origin of a person's stated disability. 00 NIU (not in universe) 10 Congenital, since birth 20 Disease 21 Polio, infant paralysis 22 Parkinsons 23 Sclerosis 24 Stroke 25 Epilepsy 26 Hanson disease 29 Other disease 30 Accident 31 Work accident 32 Transport accident 33 Animal accident 34 Sports, athletic, or playing accident 39 Other accident 40 Other 41 Aging 42 Mental infirmity 43 War injury 44 Genocide 45 Anti-personnel mine or unexploded ordnance (UXO) 46 Domestic violence 47 Violence of delinquency 48 Other form of violence 49 Witchcraft 50 Other cause, n.e.c. 70 Multiple causes 90 No disability 99 Unknown Disability Variables -- PERSON Person number (within household) Dominican Republic 2002: All persons 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 to household head 27. What is the person's relationship to the head of household? </p> <div class="i1">[] 1 Head of household<br />[] 2 Spouse/companion <br />[] 3 Son/daughter <br />[] 4 Stepchild/foster child <br />[] 5 Son/daughter-in-law <br />[] 6 Grandchild<br />[] 7 Father/mother <br />[] 8 Father/mother-in-law <br />[] 9 Other relation <br />[] 10 Domestic worker <br />[] 11 Other non-relation</div> <span class="em">Question 27: What is the relationship of (NAME) to the head of household?</span></p> <p>Fill in the correct bubble that represents the relationship of each household member with the female or male head of household. Dominican Republic 2002: All persons This variable indicates a person's relationship to the household head. 01 Head of household 02 Spouse or partner 03 Child 04 Stepchild or foster child 05 Child in law 06 Grandchild 07 Parent 08 Parent in law 09 Other relative 10 Maid or household worker 11 Not related 12 Member of collective household Demographic Variables -- PERSON Sex 28. Is [the respondent] male or female? </p> <div class="i1">[] 1 Male <br />[] 2 Female</div> <span class="em">Question 28: Is (NAME) male or female?</span></p> <p>Fill in the bubble with the answer for this question. <br />Fill it in by observation for each person interviewed and also ask the question. Do not infer the sex of the person by his/her name, given that there are many names that are use for both men and women. Dominican Republic 2002: All persons This variable indicates the person's sex. 1 Male 2 Female Demographic Variables -- PERSON Month of birth 29. On what date was [the respondent] born? </p> <div class="i1">____ Day<br />____ Month <br />____ Year</div> <span class="em">Question 29: When was (NAME) born?</span></p> <p>Record in the boxes the day, month and year of the person's birth. For example, if that person was born in 19 of February of 1975. [See the example in the picture next to it]. Dominican Republic 2002: All persons This variable indicates the person's month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown Demographic Variables -- PERSON Year of birth 29. On what date was [the respondent] born? </p> <div class="i1">____ Day<br />____ Month <br />____ Year</div> <span class="em">Question 29: When was (NAME) born?</span></p> <p>Record in the boxes the day, month and year of the person's birth. For example, if that person was born in 19 of February of 1975. [See the example in the picture next to it]. Dominican Republic 2002: All persons This variable indicates the person's year of birth. 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 9999 Unknown Demographic Variables -- PERSON Age 30. How old is [the respondent]? _ _</p> <div class="i1">If less than one year old, put 00. If 98 or more, put 98.</div> <span class="em">Question 30: How old is (NAME)?</span></p> <p>Write down in the boxes the age as of the day of the census of the interviewee. <br />(If he/she is a child less than a year old, record 00. If he/she is a person of 98 years of age or older, record 98).</p> <p>Sometimes the interviewee will not remember his/her date of birth or age, but might remember that he/she was born during a specific event. At the end of this manual you can find a list of different important events that can help you estimate the age of the person. Use the list for guidance. Dominican Republic 2002: All persons This variable indicates the person's age. 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 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98+ 99 Unknown Demographic Variables -- PERSON Place of birth 31. Where was [the respondent] born?</p> <div class="i1">[] 1 Here, in this municipality<br />[] 2 In another municipality <br />[] 3 Abroad</div><div class="i2">If [the respondent] was born in another municipality, write the name of the municipality. If [the respondent] was born abroad, write the name of the country<br />____<br /><br />If born abroad, indicate year of arrival in the Dominican Republic (Skip to question 34)<br />_ _ _ _</div> <span class="em">Question 31: Where was (NAME) born?</span></p> <p>For the purpose of the census, the place where a person was born is the place where the mother of that person lived when she gave birth, even if the person was born in a hospital, clinic or house outside of the mother's house during that time. </p> <p>There are three (3) possible options for this question:</p> <div class="i1"><span class="em">Here</span>, in this Municipality. In case that the person was born in the same municipality in which he/she is being surveyed. After choosing this option skip to question 32.<br /><span class="em">In other</span> Municipality, in the case that the person was born in a different municipality than the one he/she is being surveyed. In this case you should ask: <br />The name of the municipality or municipal district in which the person was born, and then record it in the corresponding boxes. <br /><span class="em">Abroad</span>, if the person was born in a different country. In this case you should ask:</div><div class="i2">a) The name of the country in which the person was born, and then record it in the corresponding boxes.<br />b) The year that the person arrived to the Dominican Republic, record it in the corresponding boxes and then skip to question 34.</div> Dominican Republic 2002: All persons This variable indicates the person's place of birth. 1 Municipality of current residence 2 Other municipality 3 Abroad 9 Unknown Nativity and Birthplace Variables -- PERSON Province of birth 31. Where was [the respondent] born?</p> <div class="i1">[] 1 Here, in this municipality<br />[] 2 In another municipality <br />[] 3 Abroad</div><div class="i2">If [the respondent] was born in another municipality, write the name of the municipality. If [the respondent] was born abroad, write the name of the country<br />____<br /><br />If born abroad, indicate year of arrival in the Dominican Republic (Skip to question 34)<br />_ _ _ _</div> <span class="em">Question 31: Where was (NAME) born?</span></p> <p>For the purpose of the census, the place where a person was born is the place where the mother of that person lived when she gave birth, even if the person was born in a hospital, clinic or house outside of the mother's house during that time. </p> <p>There are three (3) possible options for this question:</p> <div class="i1"><span class="em">Here</span>, in this Municipality. In case that the person was born in the same municipality in which he/she is being surveyed. After choosing this option skip to question 32.<br /><span class="em">In other</span> Municipality, in the case that the person was born in a different municipality than the one he/she is being surveyed. In this case you should ask: <br />The name of the municipality or municipal district in which the person was born, and then record it in the corresponding boxes. <br /><span class="em">Abroad</span>, if the person was born in a different country. In this case you should ask:</div><div class="i2">a) The name of the country in which the person was born, and then record it in the corresponding boxes.<br />b) The year that the person arrived to the Dominican Republic, record it in the corresponding boxes and then skip to question 34.</div> Dominican Republic 2002: All persons This variable indicates the person's province of birth. 01 Federal district 02 Azua 03 Baoruco 04 Barahona 05 Dajabón 06 Duarte 07 Elías Piña 08 El Seibo 09 Espaillat 10 Independencia 11 La Altagracia 12 La Romana 13 La Vega 14 María Trinidad Sánchez 15 Monte Cristi 16 Pedernales 17 Peravia 18 Puerto Plata 19 Hermanas Mirabal 20 Samaná 21 San Cristóbal 22 San Juan 23 San Pedro de Macorís 24 Sánchez Ramírez 25 Santiago 26 Santiago Rodríguez 27 Valverde 28 Monseñor Nouel 29 Monte Plata 30 Hato Mayor 31 San José de Ocoa 32 Santo Domingo 40 Foreign born 99 Unknown Nativity and Birthplace Variables -- PERSON Municipality or country of birth 31. Where was [the respondent] born?</p> <div class="i1">[] 1 Here, in this municipality<br />[] 2 In another municipality <br />[] 3 Abroad</div><div class="i2">If [the respondent] was born in another municipality, write the name of the municipality. If [the respondent] was born abroad, write the name of the country<br />____<br /><br />If born abroad, indicate year of arrival in the Dominican Republic (Skip to question 34)<br />_ _ _ _</div> <span class="em">Question 31: Where was (NAME) born?</span></p> <p>For the purpose of the census, the place where a person was born is the place where the mother of that person lived when she gave birth, even if the person was born in a hospital, clinic or house outside of the mother's house during that time. </p> <p>There are three (3) possible options for this question:</p> <div class="i1"><span class="em">Here</span>, in this Municipality. In case that the person was born in the same municipality in which he/she is being surveyed. After choosing this option skip to question 32.<br /><span class="em">In other</span> Municipality, in the case that the person was born in a different municipality than the one he/she is being surveyed. In this case you should ask: <br />The name of the municipality or municipal district in which the person was born, and then record it in the corresponding boxes. <br /><span class="em">Abroad</span>, if the person was born in a different country. In this case you should ask:</div><div class="i2">a) The name of the country in which the person was born, and then record it in the corresponding boxes.<br />b) The year that the person arrived to the Dominican Republic, record it in the corresponding boxes and then skip to question 34.</div> Dominican Republic 2002: All persons This variable indicates the person's municipality or country of birth. 0101 Federal district 0201 Azua 0202 Guayabal (Azua) 0203 Las Charcas 0204 Las Yayas de Viajama 0205 Padre las Casas 0206 Peralta 0207 Sabana Yegua 0208 Tábara Arriba 0209 Estebanía 0210 Pueblo Viejo 0211 Palmar de Ocoa 0212 Villarpando 0301 Neiba 0302 Galvan 0303 Los Ríos 0304 Tamayo 0305 Ubilla 0306 Villa Jaragua 0307 El Palmar 0401 Barahona 0402 Cabral 0403 Enriquillo 0404 Las Salinas 0405 Paraiso 0406 Polo 0407 Vincente Noble 0408 El Peñon 0409 Fundación 0410 La Cienaga (Barahona) 0411 Canoa 0412 Jaquimeyes 0413 El Cachón 0414 Pescadería 0501 Dajabón 0502 Loma de Cabrera 0503 Partido 0504 Restauración 0505 El Pino 0601 San Francisco de Macorís 0602 Arenoso 0603 Castillo 0604 Hostos 0605 Pimentel 0606 Villa Riva 0607 Las Guáranas 0608 Agua Santa del Yuna 0609 Cristo Rey de Guaraguao 0610 La Peña 0611 Cenoví 0701 Comendador 0702 Banica 0703 El Llano 0704 Hondo Valle 0705 Pedro Santana 0706 Juan Santiago 0707 Río Limpio 0801 El Seibo 0802 Miches 0803 Pedro Sánchez 0901 Moca 0902 Cayetano Germosén 0903 Gaspar Hernández 0904 José Contreras 0905 Jamao al Norte 0906 San Víctor 0907 Joba Arriba 0908 Veragua 0909 Juan López 1001 Jimaní 1002 Duvergé 1003 La Descubierta 1004 Mella 1005 Postrer Río 1006 Cristóbal 1007 Guayabal (Independencia) 1101 Higüey 1102 San Rafael del Yuma 1103 Las Lagunas de Nisibón 1104 La Otra Banda 1105 Boca de Yuma 1201 La Romana 1202 Guaymate 1301 La Vega 1302 Constanza 1303 Jarabacoa 1304 Jima Abajo 1305 Tireo 1306 Río Verde Arriba 1307 Rincón 1401 Nagua 1402 Cabrera 1403 El Factor 1404 Río San Juan 1405 San José de Mantanzas 1406 Arroyo Salado 1407 La Entrada 1408 El Pozo 1501 Monte Cristi 1502 Castañuelas 1503 Guayubín 1504 Las Matas de Santa Cruz 1505 Pepillo Salcedo (Manzanillo) 1506 Villa Vásquez 1507 Villa Elisa 1508 Hatillo Palma 1509 Cana Chapetón 1601 Pedernales 1602 Oviedo 1603 Juancho 1701 Baní 1702 Nizao 1703 Matanzas 1704 Villa Fundación 1705 Sabana Buey 1706 Pizarrete 1707 Santana 1708 Paya 1801 Puerto Plata 1802 Altamira 1803 Guananico 1804 Imbert 1805 Los Hidalgos 1806 Luperón 1807 Sosúa 1808 Villa Isabela 1809 Villa Monte Llano 1810 Estero Hondo 1811 La Isabella 1901 Salcedo 1902 Tenares 1903 Villa Tapia 1904 Blanco 2001 Samaná 2002 Sánchez 2003 Las Terrenas 2101 San Cristóbal 2102 Bajos de Haina 2103 Los Cacaos 2104 Cambita Garabitos 2105 San Gregorio de Nigua 2106 Sabana Grande de Palenque 2107 Yaguate 2108 Villa Altagracia 2109 El Carril 2201 San Juan 2202 Bohechío 2203 El Cercado 2204 Juan de Herrera 2205 Las Matas de Farfán 2206 Vallejuelo 2207 Matayaya 2208 Pedro Corto 2301 San Pedro de Macorís 2302 Los Llanos 2303 Ramón Santana 2304 Consuelo 2305 Quisqueya 2306 El Puerto 2401 Cotuí 2402 Cevicos 2403 Fantino 2404 La Cueva 2405 La Mata 2501 Santiago 2502 Bisonó 2503 Jánico 2504 Licey al Medio 2505 San José de las Matas 2506 Tamboril 2507 Villa González 2508 Pedro Garcia 2509 Sabana Iglesia 2510 Baitoa 2511 La Canela 2512 El Rubio 2513 Juncalito 2514 Palmar Arriba 2601 San Ignacio de Sabaneta 2602 Villa los Almácigos 2603 Monción 2701 Mao 2702 Esperanza 2703 Laguna Salada 2704 Amina 2705 Maizal 2706 Jaibon (Pueblo Nuevo) 2707 Guatapanal 2708 Jicomé 2709 Jaibon (Laguna Salada) 2710 La Caya 2801 Monseñor Nouel 2802 Maimón 2803 Piedra Blanca 2804 Villa de Sonador 2805 Sabana del Puerto 2806 Juan Adrián 2901 Monte Plata 2902 Bayaguana 2903 Sabana Grande de Boya 2904 Yamasá 2905 Don Juan 2906 Esperalvillo 2907 Gonzalo 2908 Los Botados 2909 Majagual 3001 Hato Mayor 3002 Sabana de la Mar 3003 El Valle 3004 Elupina Cordero de las Cañitas 3005 Yerba Buena 3006 Mata Palacio 3007 Guayabo Dulce 3101 San José de Ocoa 3102 Sabana Larga 3103 Rancho Arriba 3104 La Cienaga (San José de Ocoa) 3201 Santo Domingo Este 3202 Guerra 3203 Santo Domingo Oeste 3204 Las Alcarrizos 3205 Pedro Brand 3206 Santo Domingo Norte 3207 La Victoria 3208 Boca Chica 4003 Germany 4011 Argentina 4016 Austria 4032 Brazil 4040 Canada 4042 Chile 4043 China 4046 Colombia 4049 Costa Rica 4051 Cuba 4055 Ecuador 4062 Spain 4064 United States of America 4070 France 4088 Haiti 4117 U.S. Virgin Islands 4121 Italy 4123 Japan 4133 Lebanon 4153 Mexico 4175 Peru 4180 Puerto Rico 4215 Switzerland 4219 Taiwan 4232 Uruguay 4236 Venezuela 9000 Other Caribbean 9001 Other Central America 9002 Other South America 9003 Other Europe 9004 Other Africa 9005 Other Asia 9100 Other foreign country 9999 Unknown Nativity and Birthplace Variables -- PERSON Year arrived in country 31. Where was [the respondent] born?</p> <div class="i1">[] 1 Here, in this municipality<br />[] 2 In another municipality <br />[] 3 Abroad</div><div class="i2">If [the respondent] was born in another municipality, write the name of the municipality. If [the respondent] was born abroad, write the name of the country<br />____<br /><br />If born abroad, indicate year of arrival in the Dominican Republic (Skip to question 34)<br />_ _ _ _</div> <span class="em">Question 31: Where was (NAME) born?</span></p> <p>For the purpose of the census, the place where a person was born is the place where the mother of that person lived when she gave birth, even if the person was born in a hospital, clinic or house outside of the mother's house during that time. </p> <p>There are three (3) possible options for this question:</p> <div class="i1"><span class="em">Here</span>, in this Municipality. In case that the person was born in the same municipality in which he/she is being surveyed. After choosing this option skip to question 32.<br /><span class="em">In other</span> Municipality, in the case that the person was born in a different municipality than the one he/she is being surveyed. In this case you should ask: <br />The name of the municipality or municipal district in which the person was born, and then record it in the corresponding boxes. <br /><span class="em">Abroad</span>, if the person was born in a different country. In this case you should ask:</div><div class="i2">a) The name of the country in which the person was born, and then record it in the corresponding boxes.<br />b) The year that the person arrived to the Dominican Republic, record it in the corresponding boxes and then skip to question 34.</div> Dominican Republic 2002: Persons foreign born [disprepancies: none] This variable indicates the year that a person arrived in the country. 1992 Prior to 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 9998 Unknown 9999 NIU (not in universe) Migration: Global Variables -- PERSON Mother's place of birth 32. In which country was [the respondent]'s mother born? </p> <div class="i1">[] 1 Here, in the Dominican Republic<br />[] 2 Abroad ____</div> <span class="em">Question 32: In which country was the mother of (NAME) born?</span> <br />Fill in the correct answer: <br />1. Here, in Dominican Republic if the mother of the person was born within the country. <br />2. Abroad, if the mother of the person was born in another country (a different country than Dominican Republic). In this case, you should ask for the name of the country in which the mother was born and write it clearly in the corresponding boxes. Dominican Republic 2002: Persons born in the Domincan Repulic [discrepancies: none] This variable indicates the place of birth of a person's mother. 1 Dominican Republic 2 Abroad 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Mother's country of birth 32. In which country was [the respondent]'s mother born? </p> <div class="i1">[] 1 Here, in the Dominican Republic<br />[] 2 Abroad ____</div> <span class="em">Question 32: In which country was the mother of (NAME) born?</span> <br />Fill in the correct answer: <br />1. Here, in Dominican Republic if the mother of the person was born within the country. <br />2. Abroad, if the mother of the person was born in another country (a different country than Dominican Republic). In this case, you should ask for the name of the country in which the mother was born and write it clearly in the corresponding boxes. Dominican Republic 2002: Persons born in the Domincan Repulic [discrepancies: none] This variable indicates the country of birth of a person's mother. 4003 Germany 4011 Argentina 4043 China 4046 Colombia 4051 Cuba 4062 Spain 4064 United States of America 4088 Haiti 4117 U.S. Virgin Islands 4133 Lebanon 4153 Mexico 4172 Panama 4180 Puerto Rico 4182 United Kingdom 4190 Dominican Republic 4236 Venezuela 9000 Other Caribbean 9001 Other Central America 9002 Other South America 9003 Other Europe 9004 Other Africa 9005 Other Asia 9100 Other foreign country 9998 Unknown 9999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Father's place of birth 33. In which country was [the respondent]'s father born?</p> <div class="i1">[] 1 Here, in the Dominican Republic<br />[] 2 Abroad ____</div> <span class="em">Question 33: In which country was the father of (NAME) born?</span></p> <p>Fill in the correct answer: <br />1. HERE, in Dominican Republic if the father of the person was born within the country. <br />2. Abroad, if the father of the person was born in another country (a different country than Dominican Republic). In this case, you should ask for the name of the country in which the father was born and write it clearly in the corresponding boxes. Dominican Republic 2002: Persons born in the Domincan Repulic [discrepancies: none] This variable indicates the place of birth of a person's father. 1 Dominican Republic 2 Abroad 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Father's country of birth 33. In which country was [the respondent]'s father born?</p> <div class="i1">[] 1 Here, in the Dominican Republic<br />[] 2 Abroad ____</div> <span class="em">Question 33: In which country was the father of (NAME) born?</span></p> <p>Fill in the correct answer: <br />1. HERE, in Dominican Republic if the father of the person was born within the country. <br />2. Abroad, if the father of the person was born in another country (a different country than Dominican Republic). In this case, you should ask for the name of the country in which the father was born and write it clearly in the corresponding boxes. Dominican Republic 2002: Persons born in the Domincan Repulic [discrepancies: none] This variable indicates the country of birth of a person's father. 4003 Germany 4007 Antigua and Barbuda 4011 Argentina 4040 Canada 4043 China 4046 Colombia 4051 Cuba 4062 Spain 4064 United States of America 4070 France 4088 Haiti 4089 Netherlands 4117 U.S. Virgin Islands 4121 Italy 4123 Japan 4133 Lebanon 4153 Mexico 4180 Puerto Rico 4182 United Kingdom 4190 Dominican Republic 4198 Saint Kitts and Nevis 4236 Venezuela 9000 Other Caribbean 9001 Other Central America 9002 Other South America 9003 Other Europe 9004 Other Africa 9005 Other Asia 9998 Unknown 9999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Mother alive 34. Is [the respondent]'s mother alive? </p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Unknown</div> <span class="em">Question 34: Is (NAME)'s mother alive?</span></p> <p>This question refers to the biological mother, meaning the person who bears him/her. Fill in the correct answer. Dominican Republic 2002: All persons This variable indicates that a person's mother is alive. 1 Yes 2 No 3 Respondent does not know 9 Undeclared Fertility and Mortality Variables -- PERSON Blind in one eye 35. Does [the respondent] have any of the following disabilities? Read each option and mark cases where the answer is yes.</p> <div class="i1">[] a Blind in one eye <br />[] b Blind in both eyes <br />[] c Deaf<br />[] d Mute<br />[] e Loss or permanent limitation in arm movement <br />[] f Loss or permanent limitation in leg movement <br />[] g Mental retardation or deficiency<br />[] h Other disability<br />[] I No disability (Skip to question 37)</div> <span class="em">Question 35: Does (NAME) have any of the following disabilities? </span></p> <p>Read to the interviewee each option and fill in the answer every time the person says "YES". If the person answers "None", fill in the corresponding bubble and then skip to question 37. <br />If the person said another disability different than the ones previously read, fill in the bubble with "other disability". Dominican Republic 2002: All persons This variable indicates that a person is blind in one eye. 1 Yes 2 No Disability Variables -- PERSON Blind in both eyes 35. Does [the respondent] have any of the following disabilities? Read each option and mark cases where the answer is yes.</p> <div class="i1">[] a Blind in one eye <br />[] b Blind in both eyes <br />[] c Deaf<br />[] d Mute<br />[] e Loss or permanent limitation in arm movement <br />[] f Loss or permanent limitation in leg movement <br />[] g Mental retardation or deficiency<br />[] h Other disability<br />[] I No disability (Skip to question 37)</div> <span class="em">Question 35: Does (NAME) have any of the following disabilities? </span></p> <p>Read to the interviewee each option and fill in the answer every time the person says "YES". If the person answers "None", fill in the corresponding bubble and then skip to question 37. <br />If the person said another disability different than the ones previously read, fill in the bubble with "other disability". Dominican Republic 2002: All persons This variable indicates that a person is blind in both eyes. 1 Yes 2 No Disability Variables -- PERSON Deaf 35. Does [the respondent] have any of the following disabilities? Read each option and mark cases where the answer is yes.</p> <div class="i1">[] a Blind in one eye <br />[] b Blind in both eyes <br />[] c Deaf<br />[] d Mute<br />[] e Loss or permanent limitation in arm movement <br />[] f Loss or permanent limitation in leg movement <br />[] g Mental retardation or deficiency<br />[] h Other disability<br />[] I No disability (Skip to question 37)</div> <span class="em">Question 35: Does (NAME) have any of the following disabilities? </span></p> <p>Read to the interviewee each option and fill in the answer every time the person says "YES". If the person answers "None", fill in the corresponding bubble and then skip to question 37. <br />If the person said another disability different than the ones previously read, fill in the bubble with "other disability". Dominican Republic 2002: All persons This variable indicates that a person is deaf. 1 Yes 2 No Disability Variables -- PERSON Mute 35. Does [the respondent] have any of the following disabilities? Read each option and mark cases where the answer is yes.</p> <div class="i1">[] a Blind in one eye <br />[] b Blind in both eyes <br />[] c Deaf<br />[] d Mute<br />[] e Loss or permanent limitation in arm movement <br />[] f Loss or permanent limitation in leg movement <br />[] g Mental retardation or deficiency<br />[] h Other disability<br />[] I No disability (Skip to question 37)</div> <span class="em">Question 35: Does (NAME) have any of the following disabilities? </span></p> <p>Read to the interviewee each option and fill in the answer every time the person says "YES". If the person answers "None", fill in the corresponding bubble and then skip to question 37. <br />If the person said another disability different than the ones previously read, fill in the bubble with "other disability". Dominican Republic 2002: All persons This variable indicates that a person is mute. 1 Yes 2 No Disability Variables -- PERSON Missing or limited mobility: arms 35. Does [the respondent] have any of the following disabilities? Read each option and mark cases where the answer is yes.</p> <div class="i1">[] a Blind in one eye <br />[] b Blind in both eyes <br />[] c Deaf<br />[] d Mute<br />[] e Loss or permanent limitation in arm movement <br />[] f Loss or permanent limitation in leg movement <br />[] g Mental retardation or deficiency<br />[] h Other disability<br />[] I No disability (Skip to question 37)</div> <span class="em">Question 35: Does (NAME) have any of the following disabilities? </span></p> <p>Read to the interviewee each option and fill in the answer every time the person says "YES". If the person answers "None", fill in the corresponding bubble and then skip to question 37. <br />If the person said another disability different than the ones previously read, fill in the bubble with "other disability". Dominican Republic 2002: All persons This variable indicates that a person is missing or experiencing limited mobility in their arms. 1 Yes 2 No Disability Variables -- PERSON Missing or limited mobility: legs 35. Does [the respondent] have any of the following disabilities? Read each option and mark cases where the answer is yes.</p> <div class="i1">[] a Blind in one eye <br />[] b Blind in both eyes <br />[] c Deaf<br />[] d Mute<br />[] e Loss or permanent limitation in arm movement <br />[] f Loss or permanent limitation in leg movement <br />[] g Mental retardation or deficiency<br />[] h Other disability<br />[] I No disability (Skip to question 37)</div> <span class="em">Question 35: Does (NAME) have any of the following disabilities? </span></p> <p>Read to the interviewee each option and fill in the answer every time the person says "YES". If the person answers "None", fill in the corresponding bubble and then skip to question 37. <br />If the person said another disability different than the ones previously read, fill in the bubble with "other disability". Dominican Republic 2002: All persons This variable indicates that a person is missing or experiencing limited mobility in their legs. 1 Yes 2 No Disability Variables -- PERSON Mental disability 35. Does [the respondent] have any of the following disabilities? Read each option and mark cases where the answer is yes.</p> <div class="i1">[] a Blind in one eye <br />[] b Blind in both eyes <br />[] c Deaf<br />[] d Mute<br />[] e Loss or permanent limitation in arm movement <br />[] f Loss or permanent limitation in leg movement <br />[] g Mental retardation or deficiency<br />[] h Other disability<br />[] I No disability (Skip to question 37)</div> <span class="em">Question 35: Does (NAME) have any of the following disabilities? </span></p> <p>Read to the interviewee each option and fill in the answer every time the person says "YES". If the person answers "None", fill in the corresponding bubble and then skip to question 37. <br />If the person said another disability different than the ones previously read, fill in the bubble with "other disability". Dominican Republic 2002: All persons This variable indicates that a person has a mental disability. 1 Yes 2 No Disability Variables -- PERSON Other disability 35. Does [the respondent] have any of the following disabilities? Read each option and mark cases where the answer is yes.</p> <div class="i1">[] a Blind in one eye <br />[] b Blind in both eyes <br />[] c Deaf<br />[] d Mute<br />[] e Loss or permanent limitation in arm movement <br />[] f Loss or permanent limitation in leg movement <br />[] g Mental retardation or deficiency<br />[] h Other disability<br />[] I No disability (Skip to question 37)</div> <span class="em">Question 35: Does (NAME) have any of the following disabilities? </span></p> <p>Read to the interviewee each option and fill in the answer every time the person says "YES". If the person answers "None", fill in the corresponding bubble and then skip to question 37. <br />If the person said another disability different than the ones previously read, fill in the bubble with "other disability". Dominican Republic 2002: All persons This variable indicates that a person has another type of disability. 1 Yes 2 No Disability Variables -- PERSON No disability 35. Does [the respondent] have any of the following disabilities? Read each option and mark cases where the answer is yes.</p> <div class="i1">[] a Blind in one eye <br />[] b Blind in both eyes <br />[] c Deaf<br />[] d Mute<br />[] e Loss or permanent limitation in arm movement <br />[] f Loss or permanent limitation in leg movement <br />[] g Mental retardation or deficiency<br />[] h Other disability<br />[] I No disability (Skip to question 37)</div> <span class="em">Question 35: Does (NAME) have any of the following disabilities? </span></p> <p>Read to the interviewee each option and fill in the answer every time the person says "YES". If the person answers "None", fill in the corresponding bubble and then skip to question 37. <br />If the person said another disability different than the ones previously read, fill in the bubble with "other disability". Dominican Republic 2002: All persons This variable indicates that a person does not have a disability. 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Origin of disability 36. What is the cause of these disabilities? </p> <div class="i1">[] 1 From birth<br />[] 2 Illness<br />[] 3 Violence or abuse <br />[] 4 Motorcycle accident<br />[] 5 Other motor vehicle accident<br />[] 6 Other accident (excluding workplace) <br />[] 7 Workplace accident<br />[] 8 Old age <br />[] 9 Other cause <br />[] 10 Unknown</div> <span class="em">Question 36: What is the cause of this (these) disability(disabilities)? </span></p> <p>Fill in the correct answer declared by the interviewee. <br />If the person has two or more disabilities, fill in the most prominent/severe disability. Dominican Republic 2002: Persons with disabilities [discrepancies: none] This variable indicates the origin of a person's disability. 01 Birth 02 Illness 03 Violence or abuse 04 Motorcycle accident 05 Other motor vehicle accident 06 Other accident (excluding workplace) 07 Workplace accident 08 Old age 09 Other origin 97 Respondent does not know 98 Undeclared 99 NIU (not in universe) Disability Variables -- PERSON Read and write <span class="em">For persons of 3 years old and more </span> <br />[Questions 37-44 were asked of persons age 3+.]</p> <p>37. Can [the respondent] read and write? </p> <div class="i1">[] 1 Yes <br />[] 2 No</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 37: Does (NAME) know how to write and read? </span></p> <p>Fill in the correct answer. If the interviewee only reads or only writes record option 2 ("No"). Dominican Republic 2002: Persons age 3+ [discrepancies: none] This variable indicates that a person can read and write. 1 Can read and write 2 Cannot read or write 9 NIU (not in universe) Education Variables -- PERSON Attends or attended school <span class="em">For persons of 3 years old and more </span> <br />[Questions 37-44 were asked of persons age 3+.]</p> <p>38. Does/did [the respondent] attend a school, college or university, whether public or private? </p> <div class="i1">[] 1 Attending a public school (Go to question 40)<br />[] 2 Attending a private school (Go to question 40)<br />[] 3 Never attended school (Go to question 45)<br />[] 4 Not currently attending but attended in the past</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 38: Has (NAME) attended school, high school or university, public or private?</span></p> <p>Fill in the correct answer. <br />If the person answer that he/she is going to a public or private school, fill in the corresponding bubble and then skip to question 40. <br />If the person answers that he/she "Never went to school", fill in the bubble with the corresponding answer and then skip to question 45. <br />If the person answers that he/she is not going to school but that he/she went before, fill in the corresponding bubble and then go to question 39. Dominican Republic 2002: Persons age 3+ [discrepancies: none] This variable indicates that a person either currently attends school or has attended school. 1 Attending a public school 2 Attending a private school 3 Never attended school 4 Not currently attending but attended 9 NIU (not in universe) Education Variables -- PERSON Reason for leaving school <span class="em">For persons of 3 years old and more </span> <br />[Questions 37-44 were asked of persons age 3+.]</p> <p>39. What was the main reason why [the respondent] stopped studying? Read all options and mark just one.</p> <div class="i1">[] 1 Does not/did not like studying <br />[] 2 Has/had to work<br />[] 3 Got married or went to live with partner<br />[] 4 Looking after/looked after younger brothers and sisters <br />[] 5 There is/was no school in the locality<br />[] 6 School is/was far away<br />[] 7 Does not/did not have economic means <br />[] 8 Does not/did not have birth certificate <br />[] 9 Appropriate grades are/were not available <br />[] 10 Lack of places<br />[] 11 Completed studies<br />[] 12 Left when pregnant <br />[] 13 Other reason</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 39: What is the main reason (NAME) stopped studying? </span></p> <p>Read clearly each possible answer to the question. In the case that the person declares more than one reason why he/she stopped going to school, fill in the corresponding bubble. <br />If the person answers option 13 (other reason), fill in the bubble of option 13. Dominican Republic 2002: Persons age 3+ who have left school [discrepancies: none] This variable indicates a person's reason for leaving school. 01 Does/did not like 02 Has/had to work 03 Got married or went to live with partner 04 Has/had to care for young siblings 05 No school in the locality 06 School is/was far away 07 Can/could not afford it 08 Does/did not have a birth certificate 09 Appropriate grades are/were unavailable 10 Lack of space 11 Completed studies 12 Became pregnant 13 Other 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Education level <span class="em">For persons of 3 years old and more </span> <br />[Questions 37-44 were asked of persons age 3+.]</p> <p>40. If [the respondent] is currently attending school (question 38, answer 1 or 2): What course is he/she attending and at what level? If the answer was that [the respondent] is not currently attending school, but attended in the past (question 38, answer 4): What was the last year of study that [the respondent] completed, and at what level?</p> <div class="i1">[] 1 None (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 2 Preschool/initial (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 3 Primary/basic (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 4 Secondary/<span class="lang">medio</span> (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 5 University</div><div class="i2">Years of study _</div><div class="i1">[] 6 Specialty</div><div class="i2">Years of study _</div><div class="i1">[] 7 Masters</div><div class="i2">Years of study _</div><div class="i1">[] 8 Doctorate</div><div class="i2">Years of study _</div><div class="i1">[] 9 Unknown (Go to question 45)</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 40: If the person currently attends school (question 38, code 1 or 2), ask the following: During the current school year, what level and grade is (NAME) attending?</span></p> <p>First fill in the bubble that correspond to the level he/she answered, then record the number of finished years that he/she completed in the next box. (You should remember that at the college, level, master's or doctorate level, a year of study equals to a 4 trimesters or 3 quarters or 2 semesters). <br />If the person answered options 1, 2, 3, or 4, skip to question 43. <br />If the person answers the he/she is not currently going to school that in the past went to school (question 38 code 4), you should ask the following: <span class="em">What is the highest level of school (NAME) has attended and what is the highest grade (NAME) completed at that level?</span></p> <p>Fill in the bubble corresponding to the declared level and record the number of years/grade that the person attended in the corresponding box. <br />If the person answers option 9, skip to question 45. Dominican Republic 2002: Persons age 3+ who have ever attended school [discrepancies: none] This variable indicates a person's level of education, for persons who have ever attended school. 01 None 02 Preschool 03 Primary 04 Secondary 05 University 06 Speciality 07 Masters 08 Doctorate 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Year in school <span class="em">For persons of 3 years old and more </span> <br />[Questions 37-44 were asked of persons age 3+.]</p> <p>40. If [the respondent] is currently attending school (question 38, answer 1 or 2): What course is he/she attending and at what level? If the answer was that [the respondent] is not currently attending school, but attended in the past (question 38, answer 4): What was the last year of study that [the respondent] completed, and at what level?</p> <div class="i1">[] 1 None (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 2 Preschool/initial (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 3 Primary/basic (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 4 Secondary/<span class="lang">medio</span> (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 5 University</div><div class="i2">Years of study _</div><div class="i1">[] 6 Specialty</div><div class="i2">Years of study _</div><div class="i1">[] 7 Masters</div><div class="i2">Years of study _</div><div class="i1">[] 8 Doctorate</div><div class="i2">Years of study _</div><div class="i1">[] 9 Unknown (Go to question 45)</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 40: If the person currently attends school (question 38, code 1 or 2), ask the following: During the current school year, what level and grade is (NAME) attending?</span></p> <p>First fill in the bubble that correspond to the level he/she answered, then record the number of finished years that he/she completed in the next box. (You should remember that at the college, level, master's or doctorate level, a year of study equals to a 4 trimesters or 3 quarters or 2 semesters). <br />If the person answered options 1, 2, 3, or 4, skip to question 43. <br />If the person answers the he/she is not currently going to school that in the past went to school (question 38 code 4), you should ask the following: <span class="em">What is the highest level of school (NAME) has attended and what is the highest grade (NAME) completed at that level?</span></p> <p>Fill in the bubble corresponding to the declared level and record the number of years/grade that the person attended in the corresponding box. <br />If the person answers option 9, skip to question 45. Dominican Republic 2002: Persons age 3+ who have ever attended school [discrepancies: type I none; type II 0.6%] This variable indicates a person's year of completed school, for persons who have ever attended school. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Completed year <span class="em">For persons of 3 years old and more </span> <br />[Questions 37-44 were asked of persons age 3+.]</p> <p>40. If [the respondent] is currently attending school (question 38, answer 1 or 2): What course is he/she attending and at what level? If the answer was that [the respondent] is not currently attending school, but attended in the past (question 38, answer 4): What was the last year of study that [the respondent] completed, and at what level?</p> <div class="i1">[] 1 None (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 2 Preschool/initial (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 3 Primary/basic (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 4 Secondary/<span class="lang">medio</span> (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 5 University</div><div class="i2">Years of study _</div><div class="i1">[] 6 Specialty</div><div class="i2">Years of study _</div><div class="i1">[] 7 Masters</div><div class="i2">Years of study _</div><div class="i1">[] 8 Doctorate</div><div class="i2">Years of study _</div><div class="i1">[] 9 Unknown (Go to question 45)</div><p>41. Did [the respondent] complete this level? </p> <div class="i1">[] 1 Yes <br />[] 2 No</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 40: If the person currently attends school (question 38, code 1 or 2), ask the following: During the current school year, what level and grade is (NAME) attending?</span></p> <p>First fill in the bubble that correspond to the level he/she answered, then record the number of finished years that he/she completed in the next box. (You should remember that at the college, level, master's or doctorate level, a year of study equals to a 4 trimesters or 3 quarters or 2 semesters). <br />If the person answered options 1, 2, 3, or 4, skip to question 43. <br />If the person answers the he/she is not currently going to school that in the past went to school (question 38 code 4), you should ask the following: <span class="em">What is the highest level of school (NAME) has attended and what is the highest grade (NAME) completed at that level?</span></p> <p>Fill in the bubble corresponding to the declared level and record the number of years/grade that the person attended in the corresponding box. <br />If the person answers option 9, skip to question 45.</p> <p><span class="em">Question 41: Did (NAME) complete that level?</span></p> <p>This question is only for the people that attended or attends at the level of college, university, master's or doctorate. Fill in the bubble accordingly to the answers "Yes" or "No". Dominican Republic 2002: Persons age 3+ who attended tertiary education [discrepancies: none] This variable indicates if a person completed the year of their tertiary education. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Educational attainment <span class="em">For persons of 3 years old and more </span> <br />[Questions 37-44 were asked of persons age 3+.]</p> <p>40. If [the respondent] is currently attending school (question 38, answer 1 or 2): What course is he/she attending and at what level? If the answer was that [the respondent] is not currently attending school, but attended in the past (question 38, answer 4): What was the last year of study that [the respondent] completed, and at what level?</p> <div class="i1">[] 1 None (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 2 Preschool/initial (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 3 Primary/basic (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 4 Secondary/<span class="lang">medio</span> (Go to question 43)</div><div class="i2">Years of study _</div><div class="i1">[] 5 University</div><div class="i2">Years of study _</div><div class="i1">[] 6 Specialty</div><div class="i2">Years of study _</div><div class="i1">[] 7 Masters</div><div class="i2">Years of study _</div><div class="i1">[] 8 Doctorate</div><div class="i2">Years of study _</div><div class="i1">[] 9 Unknown (Go to question 45)</div><p>41. Did [the respondent] complete this level? </p> <div class="i1">[] 1 Yes <br />[] 2 No</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 40: If the person currently attends school (question 38, code 1 or 2), ask the following: During the current school year, what level and grade is (NAME) attending?</span></p> <p>First fill in the bubble that correspond to the level he/she answered, then record the number of finished years that he/she completed in the next box. (You should remember that at the college, level, master's or doctorate level, a year of study equals to a 4 trimesters or 3 quarters or 2 semesters). <br />If the person answered options 1, 2, 3, or 4, skip to question 43. <br />If the person answers the he/she is not currently going to school that in the past went to school (question 38 code 4), you should ask the following: <span class="em">What is the highest level of school (NAME) has attended and what is the highest grade (NAME) completed at that level?</span></p> <p>Fill in the bubble corresponding to the declared level and record the number of years/grade that the person attended in the corresponding box. <br />If the person answers option 9, skip to question 45.</p> <p><span class="em">Question 41: Did (NAME) complete that level?</span></p> <p>This question is only for the people that attended or attends at the level of college, university, master's or doctorate. Fill in the bubble accordingly to the answers "Yes" or "No". Dominican Republic 2002: Persons age 3+ who ever attended school [discrepancies: none] This variable indicates the person's educational attainment, for persons who ever attended school. 00 NIU (not in universe) 10 None 21 Preschool, year 1 22 Preschool, year 2 23 Preschool, year 3 31 Primary, year 1 32 Primary, year 2 33 Primary, year 3 34 Primary, year 4 35 Primary, year 5 36 Primary, year 6 37 Primary, year 7 38 Primary, year 8 41 Secondary, year 1 42 Secondary, year 2 43 Secondary, year 3 44 Secondary, year 4 51 University, year 1 52 University, year 2 53 University, year 3 54 University, year 4 55 University, year 5 56 University, year 6 61 Speciality, year 1 62 Speciality, year 2 71 Masters, year 1 72 Masters, year 2 73 Masters, year 3 81 Doctorate, year 1 82 Doctorate, year 2 83 Doctorate, year 3 84 Doctorate, year 4 98 Unknown Education Variables -- PERSON Field of study: university (2 digit) 42. (a) What basic field is/did [the respondent] studying/study?</p> <div class="i1">____</div><p>(b) What specialty, masters or doctorate does/did [the respondent] take? Skip to question 45</p> <div class="i1">Fill in the space only if the answer to question 40 was option 6, 7 or 8.<br />____</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 42: a) What is the career that (NAME) studied or studies?</span> <br />Write down the career indicated by the interviewee. The career is the one that is studied before graduate school. For example: Medicine, Economics, Law, Engineering, Business Administration, Computer Sciences, Electrical Engineering, Accounting, etc. <br />If the person answered a graduate specialty, master's degree or doctorate in question 40 (codes 6,7 or 8) ask: <br /><span class="em">b) What graduate specialty, master's degree or doctorate (NAME) is studying or studied?</span> <br />Record in the corresponding boxes the name of the graduate (specialty, Master's or doctorate) that the interviewee is studying or studied. <br />If the interviewee answered questions 42a) or 42b) skip to question 45 and then: verify in question 30 if the person is 30 years of age or younger, if that is the case go to question 43. If the person is 30 years of age or older skip to question 45. Dominican Republic 2002: Persons who attended tertiary education [discrepancies: none] This variable indicates a person's field of study in university (2 digits). 14 Teacher training and education science 21 Arts 22 Humanities 31 Social and behavorial science 32 Journalism and information 34 Business and administration 38 Law 42 Life sciences 44 Physical sciences 46 Mathematics and statistics 48 Computing 52 Engineering and engineering trades 54 Manufacturing and processing 58 Architecture and construction 62 Agriculture, forestry, and fishing 64 Veterinary 72 Health 76 Social services 81 Personal services 84 Transport services 86 Security services 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Field of study: university 42. (a) What basic field is/did [the respondent] studying/study?</p> <div class="i1">____</div><p>(b) What specialty, masters or doctorate does/did [the respondent] take? Skip to question 45</p> <div class="i1">Fill in the space only if the answer to question 40 was option 6, 7 or 8.<br />____</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 42: a) What is the career that (NAME) studied or studies?</span> <br />Write down the career indicated by the interviewee. The career is the one that is studied before graduate school. For example: Medicine, Economics, Law, Engineering, Business Administration, Computer Sciences, Electrical Engineering, Accounting, etc. <br />If the person answered a graduate specialty, master's degree or doctorate in question 40 (codes 6,7 or 8) ask: <br /><span class="em">b) What graduate specialty, master's degree or doctorate (NAME) is studying or studied?</span> <br />Record in the corresponding boxes the name of the graduate (specialty, Master's or doctorate) that the interviewee is studying or studied. <br />If the interviewee answered questions 42a) or 42b) skip to question 45 and then: verify in question 30 if the person is 30 years of age or younger, if that is the case go to question 43. If the person is 30 years of age or older skip to question 45. Dominican Republic 2002: Persons who attended tertiary education [discrepancies: none] This variable indicates a person's field of study in university. 1406 Education 1407 Basic education 1409 Social sciences education 1412 Physical education 1414 Early childhood education or preschool education 1424 Education, social sciences 1433 Education, philosophy and letters 1439 Education, letters 1441 Education, mathematics and physics 1442 Education, academic advising 1443 Education, school advising 1459 Higher education 1466 Pedagogy 1470 Teaching 1474 Secondary education 1476 Teacher training and education science, other 2101 Arts 2102 Cinematic arts 2108 Plastics arts 2111 Advertising arts 2118 Interior Design 2119 Graphic and advertising design 2129 Music, music education and theories 2133 Advertising 2142 Design 2143 Fashion design 2145 Arts, other 2207 Philosophy 2208 Philosophy and letters 2211 History 2215 Languages 2216 English 2217 Modern languages 2226 Theology 2230 Letters 2231 Linguistics and translation 2232 Humanities, other 3101 Political science 3111 Economics 3130 Psychology 3131 Clinical psychology 3133 School psychology 3134 Industrial psychology 3150 Sociology 3152 Social sciences 3153 Child psychology 3156 Social and behavorial sciences, other 3204 Social communications 3205 Journalism 3207 Journalism and information, other 3400 Administration 3402 Bank administration 3408 Administration of educational institutions 3410 Company administration 3411 Administration of tourism enterprises 3423 Hotel administration 3426 Public administration 3429 Tourism and hotel administration 3441 Banking 3444 Secretarial sciences 3448 Accounting 3449 Computer accounting 3457 Accounting and auditing 3461 Public accounting 3466 Finance 3481 Marketing 3482 Marketing and sales 3486 Public relations 3487 Management 3488 Bilingual secretarial studies 3491 Executive secretarial studies 3499 Business and administration, other 3504 Sales 3800 Legal sciences 3801 Law 4203 Biology 4206 Biochemistry 4216 Natural sciences 4217 Life sciences, other 4412 Chemistry 4414 Physical sciences, other 4604 Statistics 4609 Mathematics and physics 4610 Mathematics 4612 Mathematics and statistics, other 4806 Computer science 4809 Systems engineering 4814 Programming 4819 Computer systems 4826 Computation 4827 Computing, other 5200 Surveying 5203 Electricity 5205 Industrial eletricity 5207 Electromechanics 5208 Electronics 5219 Mechanical engineering 5220 Mechanical electric engineering 5222 Telematic engineering 5224 Mechanics 5225 Industrial mechanics 5236 Engineering and related fields, other 5411 Industrial engineering 5420 Manufacturing and processing, other 5800 Architecture 5812 Civil engineering 5821 Architecture and construction other 6202 Agriculture 6205 Agronomy 6221 Agricultural engineering 6240 Agrilculture, forestry, and fishing, other 6400 Veterinary medicine 7203 Bioanalysis 7212 Nursing 7215 Stomatology 7216 Pharmacy 7219 Biochemistry of drugs 7236 Medicine 7242 Nutrition and diet 7244 Dentistry 7249 Orthodontics 7250 Orthopedics 7254 Pediatrics 7259 Radiology 7290 Medical technology 7293 Medicine, other 7607 Guidance 7613 Physical therapy 7616 Social work 7618 Social services, other 8103 Hospitality 8109 Tourism 8110 Personal services, other 8402 Navigation 8410 Transportation services, other 8506 Environmental protection, other 8606 Security services, other 9998 Unknown 9999 NIU (not in universe) Education Variables -- PERSON Field of study: advanced degree (2 digit) 42. (a) What basic field is/did [the respondent] studying/study?</p> <div class="i1">____</div><p>(b) What specialty, masters or doctorate does/did [the respondent] take? Skip to question 45</p> <div class="i1">Fill in the space only if the answer to question 40 was option 6, 7 or 8.<br />____</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 42: a) What is the career that (NAME) studied or studies?</span> <br />Write down the career indicated by the interviewee. The career is the one that is studied before graduate school. For example: Medicine, Economics, Law, Engineering, Business Administration, Computer Sciences, Electrical Engineering, Accounting, etc. <br />If the person answered a graduate specialty, master's degree or doctorate in question 40 (codes 6,7 or 8) ask: <br /><span class="em">b) What graduate specialty, master's degree or doctorate (NAME) is studying or studied?</span> <br />Record in the corresponding boxes the name of the graduate (specialty, Master's or doctorate) that the interviewee is studying or studied. <br />If the interviewee answered questions 42a) or 42b) skip to question 45 and then: verify in question 30 if the person is 30 years of age or younger, if that is the case go to question 43. If the person is 30 years of age or older skip to question 45. Dominican Republic 2002: Persons who have attended an advanced degree [discrepancies: none] This variable indicates a person's field of study in his or her advanced degree (2 digit). 14 Teacher training and education science 21 Arts 22 Humanities 31 Social and behavorial science 32 Journalism and information 34 Business and administration 38 Law 42 Life sciences 44 Physical sciences 46 Mathematics and statistics 48 Computing 52 Engineering and engineering trades 54 Manufacturing and processing 58 Architecture and construction 62 Agriculture, forestry, and fishing 72 Health 76 Social services 81 Personal services 85 Environmental protection 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON School attendance last year See question 30. If [the respondent] is more than 30 years old, skip to question 45, otherwise:</p> <p>43. Did [the respondent] attend school or college during the last school year? </p> <div class="i1">[] 1 Yes <br />[] 2 No</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 43: During the previous school year, did (NAME) attend school or high school? </span></p> <p>Fill in the correct answer. Dominican Republic 2002: Persons been 3 and 30 years of age who have ever attended school and were not in tertiary education [discrepancies: none] This variable indicates if a person was in school last last year. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Repeating current course See question 30. If [the respondent] is more than 30 years old, skip to question 45, otherwise:</p> <p>43. Did [the respondent] attend school or college during the last school year? </p> <div class="i1">[] 1 Yes <br />[] 2 No</div><p>44. Is [the respondent] repeating the course he/she is currently attending? </p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Not attending school</div> <span class="em">For People Age 3 or Older </span></p> <p><span class="em">Question 44: Is (NAME) repeating the grade/level that he/she is currently studying?</span> <br /> <br />Fill in the correct answer. Dominican Republic 2002: Persons between 3 and 30 years of age who have ever attended school and were not in tertiary education [discrepancies: none] This variable indicates that a person is repeating his or her current course. 1 Yes 2 No 3 Does not attend school 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Place of residence 5 years ago <span class="em">For persons of 5 years old and more</span> <br />[Question 45 was asked for persons age 5+.]</p> <p>45. Where was [the respondent] living in October of 1997? </p> <div class="i1">[] 1 Here in this municipality<br />[] 2 In another municipality</div><div class="i2">The place of residence [in October of 1997] was:</div><div class="i3">[] c The countryside<br />[] p Town/city</div><div class="i1">[] 3 Abroad</div><p> </p> <div class="i2">If [the respondent] was living in another municipality, write the name of the municipality.<br />If [the respondent] was living abroad, write the name of the country.<br />____</div> <span class="em">For People Age 5 or Older</span></p> <p><span class="em">Question 45: Where did (NAME) reside 5 years ago?</span></p> <p>This question has three (3) possible answers; you should only record one of the following:</p> <div class="i1">HERE, in this Municipality, in case that the person lived since five years ago in the same municipality he/she is being surveyed. <br />In ANOTHER municipality, in case that the person lived five years ago in a different municipality different from the one he/she is being surveyed. In this case, you should ask if the municipality where he/she lived was a rural zone, town/city and then fill in the correct answer. <br />ABROAD, if the person lived abroad five years ago. (You should fill in the corresponding answer to one of the given options)</div><p>If the person lived in ANOTHER municipality, you should ask the name of the municipality and write it down in the corresponding boxes.</p> <p>If the person lives ABROAD, ask the name of the country and write it down in the corresponding boxes. Dominican Republic 2002: Persons age 5+ [discrepancies: none] This variable indicates a person's place of residence 5 years ago. 1 Municipality of current residence 2 Other municipality 3 Abroad 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON Urban status 5 years ago <span class="em">For persons of 5 years old and more</span> <br />[Question 45 was asked for persons age 5+.]</p> <p>45. Where was [the respondent] living in October of 1997? </p> <div class="i1">[] 1 Here in this municipality<br />[] 2 In another municipality</div><div class="i2">The place of residence [in October of 1997] was:</div><div class="i3">[] c The countryside<br />[] p Town/city</div><div class="i1">[] 3 Abroad</div><p> </p> <div class="i2">If [the respondent] was living in another municipality, write the name of the municipality.<br />If [the respondent] was living abroad, write the name of the country.<br />____</div> <span class="em">For People Age 5 or Older</span></p> <p><span class="em">Question 45: Where did (NAME) reside 5 years ago?</span></p> <p>This question has three (3) possible answers; you should only record one of the following:</p> <div class="i1">HERE, in this Municipality, in case that the person lived since five years ago in the same municipality he/she is being surveyed. <br />In ANOTHER municipality, in case that the person lived five years ago in a different municipality different from the one he/she is being surveyed. In this case, you should ask if the municipality where he/she lived was a rural zone, town/city and then fill in the correct answer. <br />ABROAD, if the person lived abroad five years ago. (You should fill in the corresponding answer to one of the given options)</div><p>If the person lived in ANOTHER municipality, you should ask the name of the municipality and write it down in the corresponding boxes.</p> <p>If the person lives ABROAD, ask the name of the country and write it down in the corresponding boxes. Dominican Republic 2002: Persons who lived in another municipality 5 years ago [discrepancies: none] This variable indicates if a person lived in a rural or urban area five years ago. 1 Rural 2 Urban 8 Unknown 9 Not in universe Migration: Global Variables -- PERSON Province of residence 5 years ago <span class="em">For persons of 5 years old and more</span> <br />[Question 45 was asked for persons age 5+.]</p> <p>45. Where was [the respondent] living in October of 1997? </p> <div class="i1">[] 1 Here in this municipality<br />[] 2 In another municipality</div><div class="i2">The place of residence [in October of 1997] was:</div><div class="i3">[] c The countryside<br />[] p Town/city</div><div class="i1">[] 3 Abroad</div><p> </p> <div class="i2">If [the respondent] was living in another municipality, write the name of the municipality.<br />If [the respondent] was living abroad, write the name of the country.<br />____</div> <span class="em">For People Age 5 or Older</span></p> <p><span class="em">Question 45: Where did (NAME) reside 5 years ago?</span></p> <p>This question has three (3) possible answers; you should only record one of the following:</p> <div class="i1">HERE, in this Municipality, in case that the person lived since five years ago in the same municipality he/she is being surveyed. <br />In ANOTHER municipality, in case that the person lived five years ago in a different municipality different from the one he/she is being surveyed. In this case, you should ask if the municipality where he/she lived was a rural zone, town/city and then fill in the correct answer. <br />ABROAD, if the person lived abroad five years ago. (You should fill in the corresponding answer to one of the given options)</div><p>If the person lived in ANOTHER municipality, you should ask the name of the municipality and write it down in the corresponding boxes.</p> <p>If the person lives ABROAD, ask the name of the country and write it down in the corresponding boxes. Dominican Republic 2002: Persons age 5+ [discrepancies: none] This variable indicates a person's province of residence 5 years ago. 01 Federal district 02 Azua 03 Baoruco 04 Barahona 05 Dajabón 06 Duarte 07 Elías Piña 08 El Seibo 09 Espaillat 10 Independencia 11 La Altagracia 12 La Romana 13 La Vega 14 María Trinidad Sánchez 15 Monte Cristi 16 Pedernales 17 Peravia 18 Puerto Plata 19 Salcedo 20 Samaná 21 San Cristóbal 22 San Juan 23 San Pedro de Macorís 24 Sánchez Ramírez 25 Santiago 26 Santiago Rodríguez 27 Valverde 28 Monseñor Nouel 29 Monte Plata 30 Hato Mayor 31 San José de Ocoa 32 Santo Domingo 40 Abroad 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Municipality or country of residence 5 years ago <span class="em">For persons of 5 years old and more</span> <br />[Question 45 was asked for persons age 5+.]</p> <p>45. Where was [the respondent] living in October of 1997? </p> <div class="i1">[] 1 Here in this municipality<br />[] 2 In another municipality</div><div class="i2">The place of residence [in October of 1997] was:</div><div class="i3">[] c The countryside<br />[] p Town/city</div><div class="i1">[] 3 Abroad</div><p> </p> <div class="i2">If [the respondent] was living in another municipality, write the name of the municipality.<br />If [the respondent] was living abroad, write the name of the country.<br />____</div> <span class="em">For People Age 5 or Older</span></p> <p><span class="em">Question 45: Where did (NAME) reside 5 years ago?</span></p> <p>This question has three (3) possible answers; you should only record one of the following:</p> <div class="i1">HERE, in this Municipality, in case that the person lived since five years ago in the same municipality he/she is being surveyed. <br />In ANOTHER municipality, in case that the person lived five years ago in a different municipality different from the one he/she is being surveyed. In this case, you should ask if the municipality where he/she lived was a rural zone, town/city and then fill in the correct answer. <br />ABROAD, if the person lived abroad five years ago. (You should fill in the corresponding answer to one of the given options)</div><p>If the person lived in ANOTHER municipality, you should ask the name of the municipality and write it down in the corresponding boxes.</p> <p>If the person lives ABROAD, ask the name of the country and write it down in the corresponding boxes. Dominican Republic 2002: Persons age 5+ [discrepancies: none] This variable indicates a person's municipality or country of residence 5 years ago. 10101 Federal district 13201 Santo Domingo Este 13202 Guerra 13203 Santo Domingo Oeste 13204 Las Alcarrizos 13205 Pedro Brand 13206 Santo Domingo Norte 13207 La Victoria 13208 Boca Chica 21701 Baní 21702 Nizao 21703 Matanzas 21704 Villa Fundación 21705 Sabana Buey 21706 Pizarrete 21707 Santana 21708 Paya 22101 San Cristóbal 22102 Bajos de Haina 22103 Los Cacaos 22104 Cambita Garabitos 22105 San Gregorio de Nigua 22106 Sabana Grande de Palenque 22107 Yaguate 22108 Villa Altagracia 22109 El Carril 22901 Monte Plata 22902 Bayaguana 22903 Sabana Grande de Boya 22904 Yamasá 22905 Don Juan 22906 Esperalvillo 22907 Gonzalo 22908 Los Botados 22909 Majagual 23101 San José de Ocoa 23102 Sabana Larga 23103 Rancho Arriba 23104 La Cienaga (San José de Ocoa) 30801 El Seibo 30802 Miches 30803 Pedro Sánchez 31101 Higüey 31102 Sant Rafael del Yuma 31103 Las Lagunas de Nisibón 31104 La Otra Banda 31105 Boca de Yuma 31201 La Romana 31202 Guaymate 32301 San Pedro de Macorís 32302 Los Llanos 32303 Ramón Santana 32304 Consuelo 32305 Quisqueya 32306 El Puerto 33001 Hato Mayor 33002 Sabana de la Mar 33003 El Valle 33004 Elupina Cordero de las Cañitas 33005 Yerba Buena 33006 Mata Palacio 33007 Guayabo Dulce 40601 San Francisco de Macorís 40602 Arenoso 40603 Castillo 40604 Hostos 40605 Pimentel 40606 Villa Riva 40607 Las Guáranas 40608 Agua Santa del Yuna 40609 Cristo Rey de Guaraguao 40610 La Peña 40611 Cenoví 41401 Nagua 41402 Cabrera 41403 El Factor 41404 Río San Juan 41405 San José de Mantanzas 41406 Arroyo Salado 41407 La Entrada 41408 El Pozo 41901 Salcedo 41902 Tenares 41903 Villa Tapia 41904 Blanco 42001 Samaná 42002 Sánchez 42003 Las Terrenas 51301 La Vega 51302 Constanza 51303 Jarabacoa 51304 Jima Abajo 51305 Tireo 51306 Río Verde Arriba 51307 Rincón 52401 Cotuí 52402 Cevicos 52403 Fantino 52404 La Cueva 52405 La Mata 52801 Monseñor Nouel 52802 Maimón 52803 Piedra Blanca 52804 Villa de Sonador 52805 Sabana del Puerto 52806 Juan Adrián 60901 Moca 60902 Cayetano Germosén 60903 Gaspar Hernández 60904 José Contreras 60905 Jamao al Norte 60906 San Víctor 60907 Joba Arriba 60908 Veragua 60909 Juan López 61801 Puerto Plata 61802 Altamira 61803 Guananico 61804 Imbert 61805 Los Hidalgos 61806 Luperón 61807 Sosúa 61808 Villa Isabella 61809 Villa Monte Llano 61810 Estero Hondo 61811 La Isabella 62501 Santiago 62502 Bisonó 62503 Jánico 62504 Licey al Medio 62505 San José de las Matas 62506 Tamboril 62507 Villa González 62508 Pedro Garcia 62509 Sabana Iglesia 62510 Baitoa 62511 La Canela 62512 El Rubio 62513 Juncalito 62514 Palmar Arriba 70501 Dajabón 70502 Loma de Cabrera 70503 Partido 70504 Restauración 70505 El Pino 71501 Monte Cristi 71502 Castañuelas 71503 Guayubín 71504 Las Matas de Santa Cruz 71505 Pepillo Salcedo (Manzanillo) 71506 Villa Vásquez 71507 Villa Elisa 71508 Hatillo Palma 71509 Cana Chapetón 72601 San Ignacio de Sabaneta 72602 Villa los Almácigos 72603 Monción 72701 Mao 72702 Esperanza 72703 Laguna Salada 72704 Amina 72705 Maizal 72706 Jaibon (Pueblo Nuevo) 72707 Guatapanal 72708 Jicomé 72709 Jaibon (Laguna Salada) 72710 La Caya 80201 Azua 80202 Guayabal (Azua) 80203 Las Charcas 80204 Las Yayas de Viajama 80205 Padre las Casas 80206 Peralta 80207 Sabana Yegua 80208 Tábara Arriba 80209 Estebanía 80210 Pueblo Viejo 80211 Palmar de Ocoa 80212 Villarpando 80701 Comendador 80702 Banica 80703 El Llano 80704 Hondo Valle 80705 Pedro Santana 80706 Juan Santiago 80707 Río Limpio 82201 San Juan 82202 Bohechío 82203 El Cercado 82204 Juan de Herrera 82205 Las Matas de Farfán 82206 Vallejuelo 82207 Matayaya 82208 Pedro Corto 90301 Neiba 90302 Galvan 90303 Los Ríos 90304 Tamayo 90305 Ubilla 90306 Villa Jaragua 90307 El Palmar 90401 Barahona 90402 Cabral 90403 Enriquillo 90404 Las Salinas 90405 Paraiso 90406 Polo 90407 Vicente Noble 90408 El Peñon 90409 Fundación 90410 La Cienaga (Barahona) 90411 Canoa 90412 Jaquimeyes 90413 El Cachón 90414 Pescadería 91001 Jimaní 91002 Duvergé 91003 La Descubierta 91004 Mella 91005 Postrer Río 91006 Cristóbal 91007 Guayabal (Independencia) 91601 Pedernales 91602 Oviedo 91603 Juancho 94003 Germany 94011 Argentina 94016 Austria 94040 Canada 94042 Chile 94117 U.S. Virgin Islands 94121 Italy 94215 Switzerland 94232 Uruguay 94236 Venezuela 95000 Other Caribbean 96000 Other South America 97000 Other Africa 98000 Other Asia 99998 Unknown 99999 NIU (not in universe) Migration: Global Variables -- PERSON Worked last week <span class="em">For persons of 10 years old and more</span></p> <p>46. Last week (i.e. the last seven days) did [the respondent] have any job or work for payment or reward, even though he/she may have been absent from work owing to vacations, illness or some other reason?</p> <div class="i1">[] 1 Yes (Skip to question 50) <br />[] 2 No</div> <span class="em">For people age 10 or older </span></p> <p>For the census purposes we distinguish between work that is <span class="ital">paid or earns something in kind and unpaid or non-remunerated work. </span></p> <p><span class="em">Paid Work or Earnings in kind </span>refers to the production of good and services that a person works on and that generates him/her an income in cash or in kind, being a salary or in kind. The paid work can be of two types: </p> <div class="i1">a) Fix payment: is an established payment that is given regularly by an institution, business, company to a specific person or family house, that in exchange works a workday for profit. <br /><br />b) Other type of remunerated work refers to the irregular activities and occupations, commonly worked independently although the person might get help from family members for which the person gains some sort of profit.</div><span class="em">Unpaid or non-remunerated work</span> is the activity of producing goods and services that a person does as a help to a business, company or family farm in which he/she does not receive any remuneration or payment.</p> <p><span class="em">Question 46: During the past week (seven days) have (NAME) done any type of work in which he/she received any kind of payment, even if he/she was not working because of vacations, illness or other reason?</span></p> <p>Fill in the correct answer. <br />1. If the interviewee had a permanent job (paid or earned in kind) the previous week of the census, even if he/she is not working because he/she had vacations or had an illness or other reason, fill in the option "Yes" and then skip to question 50. <br />2. If the interviewee did not have a job or worked the previous week of the census, fill in "No" and then continue to question 47. Dominican Republic 2002: Persons age 10+ [discrepancies: none] This variable indicates if a person did any work in the previous week. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Earned money last week <span class="em">For persons of 10 years old and more</span></p> <p>47. Did [the respondent] undertake any activity for payment or gain last week, such as selling food or clothing, sewing, guarding automobiles, selling tickets, etc., for at least one hour?</p> <div class="i1">[] 1 Yes (Skip to question 50) <br />[] 2 No</div> <span class="em">For people age 10 or older </span></p> <p>For the census purposes we distinguish between work that is <span class="ital">paid or earns something in kind and unpaid or non-remunerated work. </span></p> <p><span class="em">Paid Work or Earnings in kind </span>refers to the production of good and services that a person works on and that generates him/her an income in cash or in kind, being a salary or in kind. The paid work can be of two types: </p> <div class="i1">a) Fix payment: is an established payment that is given regularly by an institution, business, company to a specific person or family house, that in exchange works a workday for profit. <br /><br />b) Other type of remunerated work refers to the irregular activities and occupations, commonly worked independently although the person might get help from family members for which the person gains some sort of profit.</div><span class="em">Unpaid or non-remunerated work</span> is the activity of producing goods and services that a person does as a help to a business, company or family farm in which he/she does not receive any remuneration or payment.</p> <p><span class="em">Question 47: During the past week (seven days) have (NAME) done any type of work for at least one hour such as selling food or clothes, sewing, motorcycle taxi, selling tickets, etc. in which he/she received any kind of payment?</span></p> <p>Fill in the correct answer. <br />1. If the person answered "Yes" fill in the corresponding bubble and then skip to question 50. <br />2. In case that the person has not done any type of work, fill in "No" and then proceed to the next question. Dominican Republic 2002: Persons age 10+ who did not work last week [discrepancies: none] This variable indicates that a person earned money in the previous week. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Unpaid work last week <span class="em">For persons of 10 years old and more</span></p> <p>48. Last week, did [the respondent] help, without payment or gain, in the business, farm or economic activity of a family member?</p> <div class="i1">[] 1 Yes (Skip to question 50) <br />[] 2 No</div> <span class="em">For people age 10 or older </span></p> <p>For the census purposes we distinguish between work that is <span class="ital">paid or earns something in kind and unpaid or non-remunerated work. </span></p> <p><span class="em">Paid Work or Earnings in kind </span>refers to the production of good and services that a person works on and that generates him/her an income in cash or in kind, being a salary or in kind. The paid work can be of two types: </p> <div class="i1">a) Fix payment: is an established payment that is given regularly by an institution, business, company to a specific person or family house, that in exchange works a workday for profit. <br /><br />b) Other type of remunerated work refers to the irregular activities and occupations, commonly worked independently although the person might get help from family members for which the person gains some sort of profit.</div><span class="em">Unpaid or non-remunerated work</span> is the activity of producing goods and services that a person does as a help to a business, company or family farm in which he/she does not receive any remuneration or payment.</p> <p><span class="em">Question 48: During the past week did (NAME) helped in a business, farm or a family activity, in which he/she did not receive any remuneration?</span></p> <p>Fill in the correct answer. <br />1. If the person helped a relative or a business, or farm or family activity during the previous week of the census, fill in the corresponding "Yes" bubble and then skip to question 50. <br />2. In case that the person did not help a relative or in a family activity, farm, business during the previous week of the census, fill in the corresponding "No" bubble and then continue to the following question. Dominican Republic 2002: Persons age 10+ who did not work or earn money in previous week [discrepancies: none] This variable indicates that a person did some unpaid work in the previous week. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Has ever worked <span class="em">For persons of 10 years old and more</span></p> <p>49. Has [the respondent] previously worked for payment or gain? </p> <div class="i1">[] 1 Yes <br />[] 2 No (Skip to question 55)</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 49: Has (NAME) worked before for a remunerated work? </span></p> <p>Fill in the correct answer. <br />1. If the person had a paid work or earned in kind any time before the previous week of the census, not matter how long the person has been unemployed, mask "Yes" in the corresponding bubble. <br />2. If a person never worked fill in "No" and then skip to question 55. Dominican Republic 2002: Persons age 10+ who did not work last week [discrepancies: none] This variable indicates that a person has ever worked. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Occupation <span class="em">For persons of 10 years old and more</span></p> <p>50. What was the main occupation or task undertaken by [the respondent] during the last week, (or in his/her last job)?</p> <div class="i1">____</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 50: What was (NAME)'s main occupation, last week (or in his/her last job)? </span></p> <p>The main occupation is the job, position or function that a person did during the previous week of the census (or in his/her last job). In the case that the person worked in more than one job, the main occupation is the one that he/she worked most time. If he/she had equal amount of time of two or more jobs, record the one that the interviewee declares as his/her main occupation. </p> <p>For the recording of occupations or jobs, it is necessary to record them with the best detail as possible, avoiding vague or unnecessary information. </p> <p>The following lists various examples of the how you should record correctly the information given: </p> <div class="i1">a) A person that works in construction, his/her occupation is that of a CONSTRUCTION WORKER.<br /><br />b) A person that works selling fruit in the street, his/her occupation is that of a STREET VENDOR OF FRUIT. <br /><br />c) A person that takes care of cars on the street, his/her occupation is that of a PARKED CAR SECURITY GUARD. <br /><br />d) A person that teaches at the university, his/her occupation is that of a UNIVERSITY PROFESSOR.<br /><br />e) A person that finished his/her degree in education and manages a public secondary school, his/her occupation is that of a SECONDARY SCHOOL PRINCIPAL. <br /><br />f) Similarly, a psychologist that works as a bank teller, his/her occupation is that of a BANK TELLER.</div> Dominican Republic 2002: Persons age 10+ who have ever worked or earned money [discrepancies: none] This variable indicates the person's occupation during the previous week or the person's last occupation if the person had previously worked but was not working during the previous week. 01 Armed forces 11 Legislators and senior officials 12 Directors and chief executives 13 General managers 21 Physical, mathematical and engineering science professionals 22 Life science and health professionals 23 Teaching professionals 24 Other professionals 31 Physical, mathematical and engineering science associate professionals 32 Life science and health associate professionals 33 Teaching associate professionals 34 Other associate professionals 41 Office clerks 42 Customer service clerks 51 Personal and protective services workers 52 Models, salespersons and demonstrators 61 Market oriented skilled agricultural and fishery workers 71 Extraction and building trades workers 72 Metal, machinery and related trades workers 73 Precision, handicraft, printing and related trades workers 74 Other craft and related trades wokers 81 Stationary plant and related operators 82 Machinery operators and assemblers 83 Drivers and mobile plant operators 91 Sales and services elementary occupations 92 Agricultural, fishery and related labourers 93 Labourers in mining, construction, manufacturing and transport 98 Unknown 99 NIU (not in universe) Work: Occupation Variables -- PERSON Professional status <span class="em">For persons of 10 years old and more</span></p> <p>51. In that job, [the respondent] is/ was:</p> <div class="i1">[] 1 Employee earning a wage or salary <br />[] 2 Employer or boss<br />[] 3 Unpaid family worker <br />[] 4 Self-employed (Skip to question 54)<br />[] 5 Member of a production cooperative (Skip to question 54)<br />[] 6 Other (Skip to question 54)</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 51: In that job (NAME) was (or is)?</span></p> <p>Read clearly all the answer options to the interviewee for this question. Read slowly and clearly so the interviewee can fully understand. </p> <p>Fill in the correct answer. <br />If the interviewee answered with code 4, 5 or 6 skip to question 54. </p> <p><span class="em">Salary paid employee: </span>A person that works as an employee, laborer, day laborer and that receives a salary for the work he/she does in an institution, company, business or farm. These include those employees that receive a fix salary (monthly, biweekly, etc.) as well as those who get paid by commission or by job basis, or by honorary or in other similar ways. </p> <p><span class="pg">[PAGE 33]</span></p> <p><span class="ital">Employer or Owner: </span>A person that has his/her own company, business, or establishment and employs more than one person, which he/she pays a salary.</p> <p><span class="ital">Independent Worker: </span>A person that works independently in an economic activity. He/she could work by himself/herself or be associated to others and receive help from family members. <br /> <br /><span class="ital">Family worker with no remuneration: </span>Persons that do not receive any type of remuneration, either a salary or any payment for the work that they do in a business, company or family economic activity. </p> <p><span class="ital">Member of a cooperative: </span>A person that works for a cooperative obtaining some sort of income from his/her work there. </p> <p><span class="ital">Other category: </span>A person with other positions or work characteristics not previously specified. Dominican Republic 2002: Persons age 10+ who have ever worked or earned money [discrepancies: none] This variable indicates the person's professional status during the previous week or the person's professional status in his or her last occupation if the person had worked before but was not working during the previous week. 1 Paid employee 2 Employer/owner 3 Unpaid family worker 4 Self employed 5 Member of production cooperative 6 Other 7 Other employee, employer, or family worker 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Type of business <span class="em">For persons of 10 years old and more</span></p> <p>52. For what type of firm, business, or institution did [the respondent] work last week (or in his/her last job or trade)? Read all options and select just one.</p> <div class="i1">[] 1 Free zone enterprise<br />[] 2 Other private enterprise or business<br />[] 3 Non-governmental non-profit organization <br />[] 4 For a particular individual<br />[] 5 Public institution or enterprise (Skip to question 54)<br />[] 6 A family house (Skip to question 54)<br />[] 7 Other (Skip to question 54)</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 52: What type of company, business or institution did (NAME) work, last week (or in his/her last job)? </span></p> <p>Read each option and fill in the correct answer, accordingly: </p> <div class="i1">Factory or company in a free zone: When a person works for a specific industry, factory, company, workshop, warehouse or storehouse or any other establishment within the limits of the free zone or industrial area of the country.<br />Other private factory, company or business: When a person works for a specific industry, factory, company, commerce, hotel, farm, etc.<br />Non-profit organization or NGO: When a person works for an institution of social support or services or community service with no profit. <br />Working for an individual: When a person works for a specific person (i.e. as a chauffeur or as a bodyguard, etc.)<br />Public institution or company: When a person works for a public organization such as an office, branch, or state institution, including the city council, legislative or judicial branches, military or police.<br />Household: When a person works for a household doing domestic chores, including being a chauffeur, gardener, caretaker, housekeeping, etc.<br />Other: When a person works for an institution or organization not included in the previous categories.</div> Dominican Republic 2002: Persons age 10+ who are not self-employed or members of a cooperative [discrepancies: none] This variable indicates the type of business in which a person works. 1 Free zone enterprise 2 Other private enterprise or business 3 Nongovernmental nonprofit organization 4 Particular individual 5 Public institution or enterprise 6 Family 7 Other 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Persons employed at workplace <span class="em">For persons of 10 years old and more</span></p> <p>53. How many persons work/worked in that firm, business or institution?</p> <div class="i1">_ _ _ _ Employees</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 53: How many people work/worked in that business, company or institution?</span></p> <p>Fill in the correct number of employees from the household in the corresponding boxes. Dominican Republic 2002: Persons age 10+ who do not work in the public sector, for a family business, or other type of business [discrepanceis: none] This variable indicates the number of persons employed by a business. This is a 5-digit numeric variable with 0 implied decimal places Work Variables -- PERSON Industry <span class="em">For persons of 10 years old and more</span></p> <p>54. What does the firm, business or institution in which [the respondent] works (or last worked) do?</p> <div class="i1">____</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 54: What is the goal of the business, company or institution where (NAME) works (worked in the last instance)?</span></p> <p>In this question you should record the specific activity or goal that the business, company or institution carries out, and where the person works or worked. For example: AGRICULTURAL PRODUCTION, AGRICULTURAL SERVICES, TOBACCO INDUSTRY, SHOE INDUSTRY, OIL REFINERY, ETC. Dominican Republic 2002: Persons age 10+ who have ever worked or earned money [discrepancies: none] This variable indicates the type of industry in which a person works. 01 Agriculture, hunting, and related service activities 02 Forestry, logging, and related service activities 05 Fishing, agriculture, and service activities incidental to fishing 10 Mining of coal and lignite; extraction of peat 13 Mining of metal ores 14 Other mining and quarrying 15 Manufacture of food products and beverages 16 Manufacture of tobacco products 17 Manufacture of textiles 18 Manufacture of wearing apparel; dressing and dyeing of fur 19 Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness, and footwear 20 Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials 21 Manufacture of paper and paper products 22 Publishing, printing, and reproduction of recorded media 23 Manufacture of coke, refined petroleum products and nuclear fuel 24 Manufacture of chemicals and chemical products 25 Manufacture of rubber and plastics products 26 Manufacture of other nonmetallic mineral products 27 Manufacture of basic metals 28 Manufacture of fabricated metal products, except machinery and equipment 29 Manufacture of machinery and equipment not elsewhere classified 31 Manufacture of electrical machinery and apparatus not elsewhere classified 32 Manufacture of radio, television, and communication equipment and apparatus 33 Manufacture of medical, precision, and optical instruments, watches and clocks 34 Manufacture of motor vehicles, trailers, and semi trailers 35 Manufacture of other transport equipment 36 Manufacture of furniture; manufacturing not elsewhere classified 40 Electricity, gas, steam, and hot water supply 41 Collection, purification, and distribution of water 45 Construction 50 Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel 51 Wholesale trade and commission trade, except of motor vehicles and motorcycles 52 Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods 55 Hotels and restaurants 60 Land transport; transport via pipelines 61 Water transport 62 Air transport 63 Supporting and auxiliary transport activities; activities of travel agencies 64 Post and telecommunications 65 Financial intermediation, except insurance and pension funding 66 Insurance and pension funding, except compulsory social security 67 Activities auxiliary to financial intermediation 70 Real estate activities 71 Renting of machinery and equipment without operator and of personal and household goods 72 Computer and related activities 73 Research and development 74 Other business activities 75 Public administration and defence; compulsory social security 80 Education 85 Health and social work 90 Sewage and refuse disposal, sanitation and similar activities 91 Activities of membership organizations not elsewhere classified 92 Recreational, cultural and sporting activities 93 Other service activities 95 Activities of private households as employers of domestic staff 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON Looked for work previous week <span class="em">For persons of 10 years old and more</span></p> <p>If the answer to questions 46 or 47 or 48 was "yes", skip to question 59.</p> <p>55. Last week, did [the respondent] seek work for payment or gain, or try to establish his/her own business or enterprise?</p> <div class="i1">[] 1 Yes (Skip to question 59) <br />[] 2 No</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 55: During the last week, was (NAME) looking for a paid job or trying to establish his/her own business or company?</span></p> <p>This question should be posed only if the interviewee answered "No" in questions 46, 47 and 48. <br />If the answer is "Yes" fill it in and skip to question 59. <br />If the answer is "No" fill it in and continue to the following question. Dominican Republic 2002: Persons age 10+ who did not work last week [discrepancies: none] This variable indicates that a person looked for work in the previous week. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Main activity of person not in work <span class="em">For persons of 10 years old and more</span></p> <p>If the answer to questions 46 or 47 or 48 was "yes", skip to question 59.</p> <p>56. What was [the respondent]'s main activity last week? Read all options and select just one: </p> <div class="i1">[] 1 Household chores<br />[] 2 Studies<br />[] 3 Living from investments<br />[] 4 Retired or receiving pension <br />[] 5 Disabled/elderly<br />[] 6 No activity <br />[] 7 Other</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 56: What was the main occupation that (NAME) did last week? </span></p> <p>Read each option and answer accordingly. </p> <p>Make sure that you follow the guidelines for the answer options: </p> <p>Housekeeping: A person that works as a housewife in house chores with no payment. <br />Study: A person that studies without doing other than that and does not receive any payment. </p> <p><span class="pg">[PAGE 35]</span></p> <p>Landlord or Stockholder: A person that receives income by renting or investments (i.e. interests, salaries, deposits, rent, etc.) and that does not work to acquire other income. <br />Retired: A person that receives income from a pension or retirement, and that does not work to acquire other income. <br />Elder or disable: A person that due to his/her age or a permanent disability cannot work. <br />Person with no activities: A person that does not work or performs any job, even if is physically capable and of age to work. (These people are considered vagabonds, hobos) <br />Other: When a person is in a situation or condition different that the ones previously mentioned. In this case, you should record the name or situation in which the interviewee is involved. Some examples of who might be in this category are those who are in prison or confinement, priests, nuns, etc. Dominican Republic 2002: Persons age 10+ who did not work or look for work last week [discrepancies: none] This variable indicates the main activity of a person who is not working. 1 Household chores 2 Studies 3 Rentier 4 Retired or receiving pension 5 Disabled or elderly 6 No activity 7 Other 9 NIU (not in universe) Work Variables -- PERSON Available for work <span class="em">For persons of 10 years old and more</span></p> <p>If the answer to questions 46 or 47 or 48 was "yes", skip to question 59.</p> <p>57. At the present time, would [the respondent] be willing to work if offered a job? </p> <div class="i1">[] 1 Yes <br />[] 2 No (Skip to question 59)</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 57: Currently, would (NAME) work if he/she was offered a job?</span></p> <p>1. If the person is available to work if he/she was offered a paid job, record "Yes" and then continue to question 58. <br />2. If the person is not available to work even if there is a paid job offer, record "No", and then skip to question 59. Dominican Republic 2002: Persons age 10+ who did not work or look for work last week [discrepancies: none] This variable indicates that a person is available for work, in that they would take work if it were offered to them. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Reason for not seeking work previous week <span class="em">For persons of 10 years old and more</span></p> <p>If the answer to questions 46 or 47 or 48 was "yes", skip to question 59.</p> <p>58. Why did [the respondent] not seek work last week? Read all options and select just one</p> <div class="i1">[] 1 Has looked for work before and did not find it <br />[] 2 Believes it is very difficult to find work <br />[] 3 Other people are looking for work<br />[] 4 Is waiting for a reply to a job application <br />[] 5 Has to study<br />[] 6 Has to look after the home/children<br />[] 7 Lives from investment income or is retired <br />[] 8 Does not need or want to work<br />[] 9 Is disabled or elderly<br />[] 10 Partner does not allow him/her to work <br />[] 11 Other</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 58: Why didn't (NAME) look for a job, last week? </span></p> <p>Read all options to the interviewee and fill in the correct one. <br />The following guidelines can help you to clarify any doubt that the interviewee might have: </p> <p><span class="ital">The person has look for a job in the past and does not find one. </span>In the case that a person has filled in job applications, has had job interviews and done anything necessary to find a job but had not been able to get one. </p> <p><span class="pg">[PAGE 36]</span></p> <p><span class="ital">The person believes that is very difficult to get a job. </span>The person did not look for a job because he/she believes is very difficult to find one. </p> <p><span class="ital">Other people are helping him/her look for a job. </span>In the case that other people, (such as friends, and relatives) are helping him/her look for work. </p> <p><span class="ital">The person is waiting for a job application or employment answer. </span> When the person has applied for a job and done all the necessary to get a job and still waiting for an answer.</p> <p><span class="ital">The person studies.</span> When a person only studies and is not looking for a job. </p> <p><span class="ital">The person has to take care of the children at home. </span>A person stays at home to take care of children and household chores. </p> <p><span class="ital">The person is a landlord or retired. </span>A person that gets his/her income from rent or retirement and is not looking for a job. <br /> <br /><span class="ital">The person does not need or want to work. </span>In case that a person does not need to work or does not want to work. </p> <p><span class="ital">The person is disable or very old to work. </span>When a person has a permanent disability or is very old and cannot work. </p> <p><span class="ital">His/her partner does not allow him/her to work. </span>A person that has a partner that does not him/her work and therefore is not looking for a job. </p> <p><span class="ital">Other. </span>When there is a different reason from the ones previously mentioned, in which the person did not find a job. Dominican Republic 2002: Persons age 10+ who were available for work [discrepancies: none] This variable indicates the reason a person was not seeking work in the previous week. 01 Has looked and cannot find work 02 Believes it is very difficult to find work 05 Has to study 06 Has to look after household/children 07 Is rentier or retired 08 Does not need or want to work 09 Is disabled or elderly 10 Partner does not allow him/her to work 11 Other 99 NIU (not in universe) Work Variables -- PERSON Total income previous month <span class="em">For persons of 10 years old and more</span></p> <p>59. How much did [the respondent] receive last month in terms of wages, rent, pension, retirement pension, interest, or any other income?</p> <div class="i1">_ _ _ _ _ _ RD$</div> <span class="em">For people age 10 or older </span></p> <p><span class="em">Question 59: Last month, how much did (NAME) received as a source of income such as salary, rent, pension, retirement, interests or other income?</span></p> <p>Record the total income (in Dominican pesos) that the person receives for his/her job or other service. Dominican Republic 2002: Persons age 10+ [discrepancies: type I none; type II 3.8%] This variable indicates a person's salary in the previous month. This is a 7-digit numeric variable with 0 implied decimal places Income Variables -- PERSON Marital status <span class="em">For persons of 15 years old and more</span> <br />[Questions 60-63 were asked for persons age 15+.]</p> <p>60. At the present time [the respondent] is... </p> <div class="i1">(Read all options and select just one)<br /><br />[] 1 Married <br />[] 2 Cohabiting <br />[] 3 Widow/widower <br />[] 4 Divorced<br />[] 5 Separated from legal or religious marriage <br />[] 6 Separated from cohabitation<br />[] 7 Single</div> <span class="em">For people age 15 or older:</span></p> <p><span class="em">Question 60: Currently, is (NAME): </span></p> <p>Read each option and fill in the correct answer.</p> <p>1. Married. If the person is married legally (by Law) or by the church. <br />2. In union. If the person lives with a partner without being married legally or religiously. <br />3. Divorced. If the person was married and is divorced legally or religiously and has not been married or living in union with another person. <br />4. Widow/widower. If the person was married and his/her partner died and has not been married or living in union with another person. <br />5. Separated legally or religiously. If the person lived in legal union or religiously and separated from his/her partner and has not been married or living in union with another person. <br />6. Separated from union. If the person live in union with a partner (free union or concubinage) and now is separated and has not been married or living in union with another person. <br />7. Single. If a person has never been married or in union. Dominican Republic 2002: Persons age 15+ [discrepancies: none] This variable indicates a person's marital status. 1 Married 2 Cohabiting 3 Widow/widower 4 Divorced 5 Separated from legal or relgious marriage 6 Separated from cohabitation 7 Single 9 NIU (not in universe) Demographic Variables -- PERSON Number of sisters <span class="em">For persons of 15 years old and more</span> <br />[Questions 60-63 were asked for persons age 15+.]</p> <p>61. How many sisters from the same mother has [the respondent] had that have reached 12 years old? If any, indicate the number; if not, fill the oval box and skip to question 64.</p> <div class="i1">_ _ Sisters<br />[] None</div> <span class="em">For people age 15 or older:</span></p> <p><span class="em">Question 61: How many sisters of 12 years of age from the same mother has (NAME) had?</span></p> <p>Record the number of sisters from the same mother that the interviewee has had and that they are twelve years of age or older. In case that the interviewee had sisters that died when they were 12 years old or older, you should count them too. <br />If the interviewee answered "None", fill in the correct bubble and then skip to question 64. Dominican Republic 2002: Persons age 15+ [discrepancies: none] This variable indicates the number of sisters a person has. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Any sisters <span class="em">For persons of 15 years old and more</span> <br />[Questions 60-63 were asked for persons age 15+.]</p> <p>61. How many sisters from the same mother has [the respondent] had that have reached 12 years old? If any, indicate the number; if not, fill the oval box and skip to question 64.</p> <div class="i1">_ _ Sisters<br />[] None</div> <span class="em">For people age 15 or older:</span></p> <p><span class="em">Question 61: How many sisters of 12 years of age from the same mother has (NAME) had?</span></p> <p>Record the number of sisters from the same mother that the interviewee has had and that they are twelve years of age or older. In case that the interviewee had sisters that died when they were 12 years old or older, you should count them too. <br />If the interviewee answered "None", fill in the correct bubble and then skip to question 64. Dominican Republic 2002: Persons age 15+ [discrepancies: none] This variable indicates that a person has one or more sisters. 0 None 1 One or more 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of deceased sisters <span class="em">For persons of 15 years old and more</span> <br />[Questions 60-63 were asked for persons age 15+.]</p> <p>62. Of these of sisters, how many have died? If any, indicate the number; if none fill the oval box.</p> <div class="i1">_ _ Sisters<br />[] None</div> <span class="em">For people age 15 or older:</span></p> <p><span class="em">Question 62: Of all these sisters, how many are not living? </span> <br />Of the total number of sisters noted in the previous question (61), write down the number of sisters that have died being 12 years of age or older. <br />If the interviewee responds "none" fill in the bubble that corresponds and skip to question 64. Dominican Republic 2002: Persons age 15+ [discrepancies: none] This variable indicates the number of deceased sisters that a person has. 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Any deceased sisters <span class="em">For persons of 15 years old and more</span> <br />[Questions 60-63 were asked for persons age 15+.]</p> <p>62. Of these of sisters, how many have died? If any, indicate the number; if none fill the oval box.</p> <div class="i1">_ _ Sisters<br />[] None</div> <span class="em">For people age 15 or older:</span></p> <p><span class="em">Question 62: Of all these sisters, how many are not living? </span> <br />Of the total number of sisters noted in the previous question (61), write down the number of sisters that have died being 12 years of age or older. <br />If the interviewee responds "none" fill in the bubble that corresponds and skip to question 64. Dominican Republic 2002: Persons age 15+ [discrepancies: none] This variable indicates that a person has one or more deceased sisters. 0 None 1 One or more 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of sisters died during childbirth <span class="em">For persons of 15 years old and more</span> <br />[Questions 60-63 were asked for persons age 15+.]</p> <p>62. Of these of sisters, how many have died? If any, indicate the number; if none fill the oval box.</p> <div class="i1">_ _ Sisters<br />[] None</div><p>63. Of sisters who have died, how many died during pregnancy, childbirth, or risk period? If any, indicate the number, if not fill the oval box.</p> <div class="i1">_ _ Sisters<br />[] None</div> <span class="em">For people age 15 or older:</span></p> <p><span class="em">Question 63: Of the sisters that died, how many died during pregnancy, childbirth, or at-risk pregnancy?</span> <br />Of the total number of sisters who died and were noted in the previous question (62), write the number of sisters who died during pregnancy, childbirth, or at-risk pregnancy. <br />If the person responds "none", fill in the corresponding bubble. Dominican Republic 2002: Persons age 15+ [discrepancies: none] This variable indicates the number of sisters that a person has who have died during childbirth. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Any sisters died during childbirth <span class="em">For persons of 15 years old and more</span> <br />[Questions 60-63 were asked for persons age 15+.]</p> <p>62. Of these of sisters, how many have died? If any, indicate the number; if none fill the oval box.</p> <div class="i1">_ _ Sisters<br />[] None</div><p>63. Of sisters who have died, how many died during pregnancy, childbirth, or risk period? If any, indicate the number, if not fill the oval box.</p> <div class="i1">_ _ Sisters<br />[] None</div> <span class="em">For people age 15 or older:</span></p> <p><span class="em">Question 63: Of the sisters that died, how many died during pregnancy, childbirth, or at-risk pregnancy?</span> <br />Of the total number of sisters who died and were noted in the previous question (62), write the number of sisters who died during pregnancy, childbirth, or at-risk pregnancy. <br />If the person responds "none", fill in the corresponding bubble. Dominican Republic 2002: Persons age 15+ [discrepancies: none] This variable indicates whether any of the person's sisters died during childbirth. 0 None 1 One or more 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children ever born <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>64. In total, how many live-born children has [the respondent] had, including those that died a few hours or days after birth? If any, indicate the number; if not, fill the oval box, and skip to the next person.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 64: In total, how many live births has (NAME) had, even if the baby died a few hours or days after being born?</span> <br />Consider live births to be only those that "after being pushed out or removed from the mother's womb, was breathing or with some other vital signs, such as heartbeat, a pulsating umbilical cord, or muscle movements or voluntary contractions, regardless of whether the umbilical cord has been cut or the placenta has been removed or not". </p> <p>Record in each box the total number of male children and female children that the woman has born. <br />If the woman answered that she has not had any female or male children alive, fill in the bubble to none and continue with the next person. </p> <p>In the case that all children are male record "00" in female children, and if all children are female record "00" in male children. Dominican Republic 2002: Females age 15+ [discrepancies: none] This variable indicates the number of female children ever born to a woman. 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 Male children ever born <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>64. In total, how many live-born children has [the respondent] had, including those that died a few hours or days after birth? If any, indicate the number; if not, fill the oval box, and skip to the next person.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 64: In total, how many live births has (NAME) had, even if the baby died a few hours or days after being born?</span> <br />Consider live births to be only those that "after being pushed out or removed from the mother's womb, was breathing or with some other vital signs, such as heartbeat, a pulsating umbilical cord, or muscle movements or voluntary contractions, regardless of whether the umbilical cord has been cut or the placenta has been removed or not". </p> <p>Record in each box the total number of male children and female children that the woman has born. <br />If the woman answered that she has not had any female or male children alive, fill in the bubble to none and continue with the next person. </p> <p>In the case that all children are male record "00" in female children, and if all children are female record "00" in male children. Dominican Republic 2002: Females age 15+ [discrepancies: none] This variable indicates the number of male children ever born to a woman. 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 Children ever born <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>64. In total, how many live-born children has [the respondent] had, including those that died a few hours or days after birth? If any, indicate the number; if not, fill the oval box, and skip to the next person.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 64: In total, how many live births has (NAME) had, even if the baby died a few hours or days after being born?</span> <br />Consider live births to be only those that "after being pushed out or removed from the mother's womb, was breathing or with some other vital signs, such as heartbeat, a pulsating umbilical cord, or muscle movements or voluntary contractions, regardless of whether the umbilical cord has been cut or the placenta has been removed or not". </p> <p>Record in each box the total number of male children and female children that the woman has born. <br />If the woman answered that she has not had any female or male children alive, fill in the bubble to none and continue with the next person. </p> <p>In the case that all children are male record "00" in female children, and if all children are female record "00" in male children. Dominican Republic 2002: Females age 15+ [discrepancies: none] This variable indicates the number of children ever born to a woman. 0 None 1 One or more 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children surviving <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>64. In total, how many live-born children has [the respondent] had, including those that died a few hours or days after birth? If any, indicate the number; if not, fill the oval box, and skip to the next person.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div><p>65. Of these sons and daughters, how many are currently living? If none fill the oval box.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 65: Of all the children, how many are currently living?</span></p> <p>Record separately the number of male and female children alive the day of the census. <br />If the woman answers "none", continue with the next question. <br />If the woman answers that all of her children are male record the number in the box for male children. In the opposite way if all children are female, record the number in the box for female children. Dominican Republic 2002: Females age 15+ [discrepancies: none] This variable indicates the number of female children born to a woman that are still 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+ 98 Unknown 99 Not in universe Fertility and Mortality Variables -- PERSON Male children surviving <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>64. In total, how many live-born children has [the respondent] had, including those that died a few hours or days after birth? If any, indicate the number; if not, fill the oval box, and skip to the next person.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div><p>65. Of these sons and daughters, how many are currently living? If none fill the oval box.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 65: Of all the children, how many are currently living?</span></p> <p>Record separately the number of male and female children alive the day of the census. <br />If the woman answers "none", continue with the next question. <br />If the woman answers that all of her children are male record the number in the box for male children. In the opposite way if all children are female, record the number in the box for female children. Dominican Republic 2002: Females age 15+ [discrepancies: none] This variable indicates the number of male children born to a woman that are still 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+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>64. In total, how many live-born children has [the respondent] had, including those that died a few hours or days after birth? If any, indicate the number; if not, fill the oval box, and skip to the next person.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div><p>65. Of these sons and daughters, how many are currently living? If none fill the oval box.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 65: Of all the children, how many are currently living?</span></p> <p>Record separately the number of male and female children alive the day of the census. <br />If the woman answers "none", continue with the next question. <br />If the woman answers that all of her children are male record the number in the box for male children. In the opposite way if all children are female, record the number in the box for female children. Dominican Republic 2002: Females age 15+ [discrepancies: none] This variable indicates the number of children born to a woman that are still alive. 0 None 1 One or more 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Month of birth of last child born <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>66. What is the date of birth of [the respondent]'s last live-born son or daughter? </p> <div class="i1">Month _ _<br />Year _ _ _ _</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 66: In what month and year was the last child born alive of (NAME)?</span></p> <p>Record the month and year of the birth date of the last child. </p> <div class="i1">Use two digits to record the month. For example, 01 for January 02 for February 03 for March and so on. <br />Use four digits to record the year. For example: 1999.</div> Dominican Republic 2002: Females age 15+ who have given birth [discrepancies: none] This variable indicates the month of birth of the last child born to a woman. 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 birth of last child born <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>66. What is the date of birth of [the respondent]'s last live-born son or daughter? </p> <div class="i1">Month _ _<br />Year _ _ _ _</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 66: In what month and year was the last child born alive of (NAME)?</span></p> <p>Record the month and year of the birth date of the last child. </p> <div class="i1">Use two digits to record the month. For example, 01 for January 02 for February 03 for March and so on. <br />Use four digits to record the year. For example: 1999.</div> Dominican Republic 2002: Females age 15+ who have given birth [discrepancies: none] This variable indicates the year of birth of the last child born. 1935 1935 or before 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 9998 Unknown 9999 NIU (not in universe) Fertility and Mortality Variables -- PERSON Survival last child born <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>67. Is this last son or daughter of [the respondent], currently living? </p> <div class="i1">[] 1 Yes <br />[] 2 No <br />[] 3 Unknown</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 67: Is the last child of (NAME) alive?</span> <br />Fill in the correct answer according to the interviewee. <br />In case that the interviewee answers "Don't know" fill in the corresponding bubble. Dominican Republic 2002: Females age 15+ who have given birth [discrepancies: none] This variable indicates whether or not the last child born is still alive. 1 Yes 2 No 3 Respondent does not know 8 Undeclared 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Economic activity <span class="em">For persons of 10 years old and more</span></p> <p>46. Last week (i.e. the last seven days) did [the respondent] have any job or work for payment or reward, even though he/she may have been absent from work owing to vacations, illness or some other reason?</p> <div class="i1">[] 1 Yes (Skip to question 50) <br />[] 2 No</div><p>47. Did [the respondent] undertake any activity for payment or gain last week, such as selling food or clothing, sewing, guarding automobiles, selling tickets, etc., for at least one hour?</p> <div class="i1">[] 1 Yes (Skip to question 50) <br />[] 2 No</div><p>49. Has [the respondent] previously worked for payment or gain? </p> <div class="i1">[] 1 Yes <br />[] 2 No (Skip to question 55)</div><p>55. Last week, did [the respondent] seek work for payment or gain, or try to establish his/her own business or enterprise?</p> <div class="i1">[] 1 Yes (Skip to question 59) <br />[] 2 No</div><p>56. What was [the respondent]'s main activity last week? Read all options and select just one: </p> <div class="i1">[] 1 Household chores<br />[] 2 Studies<br />[] 3 Living from investments<br />[] 4 Retired or receiving pension <br />[] 5 Disabled/elderly<br />[] 6 No activity <br />[] 7 Other</div><p>57. At the present time, would [the respondent] be willing to work if offered a job? </p> <div class="i1">[] 1 Yes <br />[] 2 No (Skip to question 59)</div><p>58. Why did [the respondent] not seek work last week? Read all options and select just one</p> <div class="i1">[] 1 Has looked for work before and did not find it <br />[] 2 Believes it is very difficult to find work <br />[] 3 Other people are looking for work<br />[] 4 Is waiting for a reply to a job application <br />[] 5 Has to study<br />[] 6 Has to look after the home/children<br />[] 7 Lives from investment income or is retired <br />[] 8 Does not need or want to work<br />[] 9 Is disabled or elderly<br />[] 10 Partner does not allow him/her to work <br />[] 11 Other</div> <span class="em">For people age 10 or older </span></p> <p>For the census purposes we distinguish between work that is <span class="ital">paid or earns something in kind and unpaid or non-remunerated work. </span></p> <p><span class="em">Paid Work or Earnings in kind </span>refers to the production of good and services that a person works on and that generates him/her an income in cash or in kind, being a salary or in kind. The paid work can be of two types: </p> <div class="i1">a) Fix payment: is an established payment that is given regularly by an institution, business, company to a specific person or family house, that in exchange works a workday for profit. <br /><br />b) Other type of remunerated work refers to the irregular activities and occupations, commonly worked independently although the person might get help from family members for which the person gains some sort of profit.</div><span class="em">Unpaid or non-remunerated work</span> is the activity of producing goods and services that a person does as a help to a business, company or family farm in which he/she does not receive any remuneration or payment.</p> <p><span class="em">Question 46: During the past week (seven days) have (NAME) done any type of work in which he/she received any kind of payment, even if he/she was not working because of vacations, illness or other reason?</span></p> <p>Fill in the correct answer. <br />1. If the interviewee had a permanent job (paid or earned in kind) the previous week of the census, even if he/she is not working because he/she had vacations or had an illness or other reason, fill in the option "Yes" and then skip to question 50. <br />2. If the interviewee did not have a job or worked the previous week of the census, fill in "No" and then continue to question 47.</p> <p><span class="em">Question 47: During the past week (seven days) have (NAME) done any type of work for at least one hour such as selling food or clothes, sewing, motorcycle taxi, selling tickets, etc. in which he/she received any kind of payment?</span></p> <p>Fill in the correct answer. <br />1. If the person answered "Yes" fill in the corresponding bubble and then skip to question 50. <br />2. In case that the person has not done any type of work, fill in "No" and then proceed to the next question.</p> <p><span class="em">Question 49: Has (NAME) worked before for a remunerated work? </span></p> <p>Fill in the correct answer. <br />1. If the person had a paid work or earned in kind any time before the previous week of the census, not matter how long the person has been unemployed, mask "Yes" in the corresponding bubble. <br />2. If a person never worked fill in "No" and then skip to question 55.</p> <p><span class="em">Question 55: During the last week, was (NAME) looking for a paid job or trying to establish his/her own business or company?</span></p> <p>This question should be posed only if the interviewee answered "No" in questions 46, 47 and 48. <br />If the answer is "Yes" fill it in and skip to question 59. <br />If the answer is "No" fill it in and continue to the following question.</p> <p><span class="em">Question 57: Currently, would (NAME) work if he/she was offered a job?</span></p> <p>1. If the person is available to work if he/she was offered a paid job, record "Yes" and then continue to question 58. <br />2. If the person is not available to work even if there is a paid job offer, record "No", and then skip to question 59.</p> <p><span class="em">Question 58: Why didn't (NAME) look for a job, last week? </span></p> <p>Read all options to the interviewee and fill in the correct one. <br />The following guidelines can help you to clarify any doubt that the interviewee might have: </p> <p><span class="ital">The person has look for a job in the past and does not find one. </span>In the case that a person has filled in job applications, has had job interviews and done anything necessary to find a job but had not been able to get one. </p> <p><span class="pg">[PAGE 36]</span></p> <p><span class="ital">The person believes that is very difficult to get a job. </span>The person did not look for a job because he/she believes is very difficult to find one. </p> <p><span class="ital">Other people are helping him/her look for a job. </span>In the case that other people, (such as friends, and relatives) are helping him/her look for work. </p> <p><span class="ital">The person is waiting for a job application or employment answer. </span> When the person has applied for a job and done all the necessary to get a job and still waiting for an answer.</p> <p><span class="ital">The person studies.</span> When a person only studies and is not looking for a job. </p> <p><span class="ital">The person has to take care of the children at home. </span>A person stays at home to take care of children and household chores. </p> <p><span class="ital">The person is a landlord or retired. </span>A person that gets his/her income from rent or retirement and is not looking for a job. <br /> <br /><span class="ital">The person does not need or want to work. </span>In case that a person does not need to work or does not want to work. </p> <p><span class="ital">The person is disable or very old to work. </span>When a person has a permanent disability or is very old and cannot work. </p> <p><span class="ital">His/her partner does not allow him/her to work. </span>A person that has a partner that does not him/her work and therefore is not looking for a job. </p> <p><span class="ital">Other. </span>When there is a different reason from the ones previously mentioned, in which the person did not find a job. Dominican Republic 2002: Persons age 15+ [discrepancies: none] This variable indicates the economic activity of an individual. 01 Employed 02 Unemployed 03 Seeking first job 04 Discouraged worker 05 Household chores 06 Student 07 Rentier 08 Retired/pensioner 09 Disabled/elderly 10 No activity 11 Other activity 99 NIU (not in universe) Work Variables -- PERSON Origin of registration information (person) Dominican Republic 2002: All persons This variable indicates the origin of registration information for a person (census or imputation). 1 Census 2 Imputation Technical Person Variables -- PERSON Total live births <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>64. In total, how many live-born children has [the respondent] had, including those that died a few hours or days after birth? If any, indicate the number; if not, fill the oval box, and skip to the next person.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 64: In total, how many live births has (NAME) had, even if the baby died a few hours or days after being born?</span> <br />Consider live births to be only those that "after being pushed out or removed from the mother's womb, was breathing or with some other vital signs, such as heartbeat, a pulsating umbilical cord, or muscle movements or voluntary contractions, regardless of whether the umbilical cord has been cut or the placenta has been removed or not". </p> <p>Record in each box the total number of male children and female children that the woman has born. <br />If the woman answered that she has not had any female or male children alive, fill in the bubble to none and continue with the next person. </p> <p>In the case that all children are male record "00" in female children, and if all children are female record "00" in male children. Dominican Republic 2002: Females age 15+ [discrepancies: none] This variable indicates the woman's total number of live births. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving <span class="em">For women of 15 years old and more</span> <br />[Questions 64-67 were asked for women age 15+.]</p> <p>64. In total, how many live-born children has [the respondent] had, including those that died a few hours or days after birth? If any, indicate the number; if not, fill the oval box, and skip to the next person.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div><p>65. Of these sons and daughters, how many are currently living? If none fill the oval box.</p> <div class="i1">_ _ Sons<br />_ _ Daughters <br />[] None</div> <span class="em">Questions 64-67 should only be asked to women who are 15 years old or older. </span></p> <p><span class="em">Question 65: Of all the children, how many are currently living?</span></p> <p>Record separately the number of male and female children alive the day of the census. <br />If the woman answers "none", continue with the next question. <br />If the woman answers that all of her children are male record the number in the box for male children. In the opposite way if all children are female, record the number in the box for female children. Dominican Republic 2002: Females age 15+ [discrepancies: none] This variable indicates the woman's number of children that are still 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 Five-year age groups Dominican Republic 2002: All persons This variable gives five-year age groups (0 to 4, 5 to 9, etc., 85 or more). 02 0 to 4 03 5 to 9 04 10 to 14 05 15 to 19 06 20 to 24 07 25 to 29 08 30 to 34 09 35 to 39 10 40 to 44 11 45 to 49 12 50 to 54 13 55 to 59 14 60 to 64 15 65 to 69 16 70 to 74 17 75 to 79 18 80 to 84 19 85 years or more 99 Unknown Demographic Variables -- PERSON Five-year age groups Dominican Republic 2002: All persons This variable gives five-year age groups (0, 1 to 4, etc., 85 or more). 01 0 02 1 to 4 03 5 to 9 04 10 to 14 05 15 to 19 06 20 to 24 07 25 to 29 08 30 to 34 09 35 to 39 10 40 to 44 11 45 to 49 12 50 to 54 13 55 to 59 14 60 to 64 15 65 to 69 16 70 to 74 17 75 to 79 18 80 to 84 19 85 years or more 99 Unknown Demographic Variables -- PERSON Age deciles Dominican Republic 2002: All persons This variable gives the decile of age for a person. 01 0 to 9 02 10 to 19 03 20 to 29 04 30 to 39 05 40 to 49 06 50 to 59 07 60 to 69 08 70 to 79 09 80 to 89 10 90 years or more 99 Unknown Demographic Variables -- PERSON Large age groups Dominican Republic 2002: All persons This variable gives the age group (large) for a person. 1 0 to 14 2 15 to 64 3 65 years or more 9 Unknown Demographic Variables -- PERSON