DDI_PHL_1995_PHC_v01_M_v7.5_A_IPUMS 1995 Census of Population IPUMS May 20, 2024 MetadataEditor 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. 1995 Census of Population - IPUMS Subset PHC Philippines 1995 (IPUMS Harmonized Subset) PHL_1995_PHC_v01_M_v7.5_A_IPUMS National Statistics Office IPUMS (c) Copyright 1995, National Statistics Office and Minnesota Population Center MetadataEditor National Statistics Office 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 Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Ethnicity and Language Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Technical Person Variables -- PERSON Other Person Variables -- PERSON Migration: Global Variables -- PERSON Work: Industry Variables -- PERSON Other Person Variables -- PERSON Philippines Municipalities with 20,000+ population combined by IPUMS Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted, or arranged, is intended for habitation by a household. - Households: A household is a social unit consisting of a person living alone or a group of persons who sleep in the same housing unit and have a commong arrangement in the presparation and consumption of food. - Group quarters: Institutional population comprises persons who are found living in institutional living quarters. They may have their own families or households elsewhere but at the time of the census they are committed or confined in institutions, or they live in institutional living quarters and are usually subject to a common authority or management, or are bound by either a common public objective or a common personal interest. Filipino nationals regardless of whether they are residing in Philipines at the time of the census and citizens of other countires having their usual residence in the Phillipines or those whose temporary residence will exceed a year from the time of their arrival. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Philippines 1995 MICRODATA SOURCE: National Statistics Office SAMPLE SIZE (person records): 6864758. SAMPLE DESIGN: Systematic sample Face-to-face [f2f] Form 1: Listing Sheet, Form 2: Household Questionnaire, and Form 3: Institutional Population Questionnaire de jure, CENSUS DAY: September 1, 1995 Self-weighting (expansion factor=10) IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. National Statistics Office 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: Philippines, National Statistics Office. 1995 Census of Population The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. PHL1995_PHC-H-H Household records 1 31 PHL1995_PHC-P-H Person records 6864758 65 Record type H Household P Person 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. IPUMS Country 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 COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). IPUMS Year 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 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. IPUMS IPUMS sample identifier 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 SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). IPUMS Household serial number 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. IPUMS 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. IPUMS Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS Subsample number 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 SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. IPUMS Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. IPUMS Group quarters (collective dwelling) status 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 GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. IPUMS Group quarters type 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) 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. IPUMS Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. IPUMS Continent and region of country 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia REGIONW identifies the continent and region of each country. IPUMS 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. IPUMS 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. IPUMS Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer. IPUMS Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit string variable listing the population density in persons per square kilometer. IPUMS Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit string variable listing the area in square kilometers. IPUMS Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit string variable listing the area in square kilometers. IPUMS Philippines, Province 1990 - 2010 [Level 1; consistent boundaries, GIS] 608001 Abra 608002 Agusan del norte 608003 Agusan del sur 608004 Aklan 608005 Albay 608006 Antique 608007 Basilan, City Of Isabela 608008 Bataan 608010 Batangas 608011 Benguet 608012 Bohol 608013 Bukidnon 608014 Bulacan 608015 Cagayan, Batanes 608016 Camarines norte 608017 Camarines Sur 608018 Camiguin 608019 Capiz 608020 Catanduanes 608021 Cavite 608022 Cebu 608023 Davao (Davao del Norte) 608024 Davao del Sur, Davao Occidental 608025 Davao Oriental 608026 Eastern Samar 608027 Ifugao 608028 Ilocos Norte 608029 Ilocos Sur 608030 Iloilo, Guimaras 608031 Isabela 608032 Kalinga-Apayao, Apayo, Kalinga 608033 La Union 608034 Laguna 608035 Lanao del Norte 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city 608037 Leyte, Biliran 608039 Manila 608040 Marinduque 608041 Masbate 608042 Misamis Occidental 608043 Misamis Oriental 608044 Mountain Province 608045 Negros Occidental 608046 Negros Oriental 608047 Cotabato (North Cotabato) 608048 Northern Samar 608049 Nueva Ecija 608050 Nueva Vizcaya 608051 Occidental Mindoro 608052 Oriental Mindoro 608053 Palawan 608054 Pampanga 608055 Pangasinan 608056 Quezon 608057 Quirino 608058 Rizal 608059 Romblon 608060 Samar (Western Samar) 608061 Siquijor 608062 Sorsogon 608063 South Cotabato, Sarangani 608064 Southern Leyte 608065 Sultan Kudarat 608066 Sulu 608067 Surigao Del Norte, Dinagat islands 608068 Surigao del Sur 608069 Tarlac 608070 Tawi-Tawi 608071 Zambales 608072 Zamboanga Norte 608073 Zamboanga del Sur, Zamboanga Sibugay 608074 Manila Metro, 2nd District 608075 Manila Metro, 3rd District 608076 Manila Metro, 4th District 608077 Aurora GEO1_PH identifies the household's provinces within the Philippines in all sample years where available. Provinces are the first level administrative units of the country. GEO1_PH is spatially harmonized to account for political boundary changes across census and survey years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_PH can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for the Philippines 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. IPUMS Philippines, Province 1995 [Level 1, GIS] 001 Abra 002 Agusan del Norte 003 Agusan del Sur 004 Aklan 005 Albay 006 Antique 007 Basilan 008 Bataan 010 Batangas 011 Benguet 012 Bohol 013 Bukidnon 014 Bulacan 015 Cagayan, Batanes 016 Camarines Norte 017 Camarines Sur 018 Camiguin 019 Capiz 020 Catanduanes 021 Cavite 022 Cebu 023 Davao del Norte 024 Davao del Sur 025 Davao Oriental 026 Eastern Samar 027 Ifugao 028 Ilocos Norte 029 Ilocos Sur 030 Iloilo 031 Isabela 032 Kalinga 033 La Union 034 Laguna 035 Lanao del Norte 036 Lanao del Sur 037 Leyte 038 Maguindanao 039 Manila (Metro 1st District) 040 Marinduque 041 Masbate 042 Misamis Occidental 043 Misamis Oriental 044 Mountain Province 045 Negros Occidental 046 Negros Oriental 047 Cotabato (North Cotabato) 048 Northern Samar 049 Nueva Ecija 050 Nueva Vizcaya 051 Mindoro Occidental 052 Mindoro Oriental 053 Palawan 054 Pampanga 055 Pangasinan 056 Quezon 057 Quirino 058 Rizal 059 Romblon 060 Western Samar 061 Siquijor 062 Sorsogon 063 South Cotabato 064 Southern Leyte 065 Sultan Kudarat 066 Sulu 067 Surigao del Norte 068 Surigao del Sur 069 Tarlac 070 Tawi-Tawi 071 Zambales 072 Zamboanga del Norte 073 Zamboanga del Sur 074 Metro Manila - 2nd District 075 Metro Manila - 3rd District 076 Metro Manila - 4th District 077 Aurora 078 Biliran 079 Guimaras 080 Sarangani 081 Apayao 083 Cotabato GEO1_PH1995 identifies the household's province within the Philippines in 1995. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_PH1995 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for the Philippines 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. IPUMS Philippines, Municipality 1990 - 2010 [Level 2; consistent boundaries, GIS] 608001001 Bangued (Capital), Tayum, Langiden, Pidigan, San Quintin 608001002 Bucay, Manabo, Peñarrubia, San Isidro, Pilar, Villaviciosa 608001003 Daguioman, Danglas, Lacub, Lagayan, Licuan-Baay (Licuan), Malibcong, Tineg 608001004 Dolores, La Paz 608001005 Lagangilang, San Juan 608001006 Boliney, Bucloc, Luba, Sallapadan, Tubo 608002001 Butuan City (Capital) 608002002 Cabadbaran, Remedios T. Romualdez 608002003 Buenavista, Carmen 608002004 Jabonga, Kitcharao 608002005 Nasipit 608002006 Las Nieves 608002007 Magallanes 608002008 Santiago 608002009 Tubay 608003001 Bayugan 608003002 Prosperidad (Capital) 608003003 San Francisco 608003004 Esperanza 608003005 Trento 608003006 Veruela 608003007 Loreto 608003008 Rosario 608003009 Bunawan 608003010 Talacogon 608003011 San Luis 608003012 Sibagat 608003013 La Paz 608003014 Santa Josefa 608004001 Kalibo (Capital) 608004002 Buruanga, Malay 608004003 Banga, Lezo 608004004 Ibajay 608004005 Madalag, Malinao 608004006 New Washington 608004007 Nabas 608004008 Batan 608004009 Numancia 608004010 Libacao 608004011 Balete 608004012 Makato 608004013 Altavas 608004014 Tangalan 608005001 Legazpi City (Capital) 608005002 Tabaco 608005003 Daraga (Locsin) 608005004 Ligao 608005005 Polangui 608005006 Guinobatan 608005007 Libon 608005008 Bacacay 608005009 Oas 608005010 Camalig 608005011 Jovellar, Pio Duran 608005012 Tiwi 608005013 Malinao 608005014 Rapu-Rapu 608005015 Malilipot 608005016 Santo Domingo (Libog) 608005017 Manito 608006001 Belison, Sibalom 608006002 San Jose (Capital) 608006003 Culasi, Sebaste 608006004 San Remigio, Valderrama 608006005 Libertad, Pandan 608006006 Hamtic 608006007 Patnongon 608006008 Bugasong 608006009 Tobias Fornier (Dao) 608006010 Caluya 608006011 Laua-An 608006012 Tibiao 608006013 Barbaza 608006014 Anini-Y 608007001 Isabela (Capital) 608007002 Maluso, Tabuan-Lasa, Sumisip 608007003 Lamitan 608007004 Tipo-Tipo, Al-Barka, Ungkaya Pukan 608007005 Tuburan, Akbar, Hadji Mohammad Ajul 608007006 Hadji Muhtamad, Lantawan 608008001 Mariveles 608008002 Dinalupihan 608008003 Balanga (Capital) 608008004 Orani 608008005 Limay 608008006 Hermosa 608008007 Orion 608008008 Pilar 608008009 Abucay 608008010 Samal 608008011 Morong 608008012 Bagac 608010001 Batangas City (Capital) 608010002 Lipa City 608010003 Tanauan 608010004 Santo Tomas 608010005 Nasugbu 608010006 Rosario 608010007 San Juan 608010008 Lemery 608010009 Balayan 608010010 Bauan 608010011 Calaca 608010012 San Jose 608010013 Mabini, Tingloy 608010014 San Pascual 608010015 Calatagan 608010016 Taal 608010017 Ibaan 608010018 Malvar, Balete 608010019 Lian 608010020 Padre Garcia 608010021 Tuy 608010022 Talisay 608010023 San Nicolas, Santa Teresita 608010024 Lobo 608010025 Agoncillo 608010026 Laurel 608010027 Taysan 608010028 Cuenca 608010029 San Luis 608010030 Mataas Na Kahoy 608010031 Alitagtag 608011001 Baguio City 608011002 La Trinidad (Capital) 608011003 Itogon 608011004 Atok, Kapangan, Tublay 608011005 Sablan, Tuba 608011006 Buguias 608011007 Mankayan 608011008 Bakun, Kibungan 608011009 Bokod, Kabayan 608012001 Tagbilaran City (Capital) 608012002 Ubay 608012003 Dagohoy, Duero, Pilar 608012004 Talibon 608012005 Anda, Guindulman 608012006 Tubigon 608012007 Alburquerque, Baclayon, Loay 608012008 Carmen 608012009 Inabanga 608012010 Loon 608012011 Dimiao, Valencia 608012012 Danao, San Miguel 608012013 Dauis 608012014 Cortes, Maribojoc 608012015 Balilihan, Corella, Sevilla 608012016 Lila, Loboc, Sikatuna 608012017 Jagna 608012018 Calape 608012019 Batuan, Bilar 608012020 Candijay 608012021 Trinidad 608012022 Panglao 608012023 Mabini 608012024 Jetafe 608012025 Buenavista 608012026 Bien Unido 608012027 Sierra Bullones 608012028 Antequera, San Isidro 608012029 Pres. Carlos P. Garcia (Pitogo) 608012030 Garcia Hernandez 608012031 Catigbian 608012032 Alicia 608012033 Clarin 608012034 Sagbayan (Borja) 608013001 Valencia 608013002 City Of Malaybalay (Capital) 608013003 Quezon 608013004 Manolo Fortich 608013005 Maramag 608013006 Talakag 608013007 Don Carlos 608013008 Lantapan 608013009 San Fernando 608013010 Kitaotao 608013011 Pangantucan 608013012 Impasug-Ong 608013013 Kalilangan 608013014 Libona 608013015 Kibawe 608013016 Baungon 608013017 Cabanglasan 608013018 Kadingilan 608013019 Sumilao 608013020 Damulog 608013021 Malitbog 608013022 Dangcagan 608014001 San Jose Del Monte 608014003 Meycauayan, Obando 608014022 Malolos (Capital) 608014023 Santa Maria 608014027 Marilao 608014029 Baliuag 608014030 San Miguel 608014032 Hagonoy 608014033 Doña Remedios Trinidad, Norzagaray 608014036 Bocaue 608014039 Plaridel 608014041 Calumpit 608014043 San Ildefonso 608014045 Guiguinto 608014047 San Rafael 608014048 Pulilan 608014053 Bulacan 608014056 Pandi 608014057 Balagtas (Bigaa) 608014059 Bustos 608014064 Angat 608014067 Paombong 608015001 Tuguegarao City (Capital) 608015002 Baggao 608015003 Solana 608015004 Aparri 608015005 Tuao 608015006 Gattaran 608015007 Buguey, Santa Teresita 608015008 Amulung 608015009 Peñablanca 608015010 Piat, Rizal 608015011 Lal-Lo 608015012 Alcala 608015013 Lasam 608015014 Gonzaga 608015015 Claveria, Santa Praxedes 608015016 Basco (Capital), Itbayat, Ivana, Mahatao, Sabtang, Uyugan, Calayan 608015017 Enrile 608015018 Ballesteros 608015019 Allacapan 608015020 Abulug 608015021 Santa Ana 608015022 Santo Niño (Faire) 608015023 Iguig 608015024 Camalaniugan 608015025 Sanchez-Mira 608015026 Pamplona 608016001 Labo, San Vicente 608016002 Daet (Capital) 608016003 Jose Panganiban 608016004 Paracale 608016005 Basud, San Lorenzo Ruiz (Imelda) 608016006 Mercedes 608016007 Vinzons 608016008 Santa Elena 608016009 Capalonga 608016010 Talisay 608017001 Naga City 608017002 Cabusao, Libmanan 608017003 Iriga City 608017004 Pili (Capital) 608017005 Nabua 608017006 Siruma, Tinambac 608017007 Calabanga 608017008 Buhi 608017009 Bula 608017010 Sipocot 608017011 Goa 608017012 Baao 608017013 Ragay 608017014 Lagonoy 608017015 Tigaon 608017016 Bato 608017017 Minalabac 608017018 Pasacao 608017019 Caramoan 608017020 Ocampo 608017021 Bombon, Magarao 608017022 Gainza, Milaor 608017023 San Jose 608017024 Pamplona 608017025 San Fernando 608017026 Canaman 608017027 Sagñay 608017028 Lupi 608017029 Balatan 608017030 Garchitorena 608017031 Del Gallego 608017032 Camaligan 608017033 Presentacion (Parubcan) 608018001 Mahinog, Mambajao (Capital) 608018002 Catarman, Guinsiliban, Sagay 608019001 Roxas City (Capital) 608019002 Tapaz 608019003 Dumarao 608019004 Pontevedra 608019005 Panay 608019006 Pilar 608019007 Panitan 608019008 Mambusao 608019009 Ma-Ayon 608019010 Jamindan 608019011 Dao 608019012 Dumalag 608019013 Sigma 608019014 President Roxas 608019015 Ivisan 608019016 Cuartero 608019017 Sapi-An 608020001 Bato, Virac (Capital) 608020002 Caramoran, Panganiban (Payo) 608020003 San Andres (Calolbon) 608020004 Baras, Gigmoto, San Miguel 608020005 Bagamanoc, Pandan 608020006 Viga 608021004 Bacoor 608021010 Dasmariñas 608021016 Imus 608021021 General Trias 608021024 Silang 608021026 Tanza 608021031 Gen. Mariano Alvarez 608021037 Trece Martires City (Capital) 608021040 Cavite City 608021044 Rosario 608021046 Naic 608021049 Kawit 608021051 Carmona 608021060 Indang 608021061 Tagaytay City 608021065 Maragondon, Ternate 608021068 Alfonso 608021071 Noveleta 608021073 General Emilio Aguinaldo, Magallanes 608021074 Amadeo 608021077 Mendez (Mendez-Nuñez) 608022001 Cebu City (Capital) 608022002 Lapu-Lapu City (Opon) 608022003 Mandaue City 608022004 Talisay 608022005 Toledo City 608022006 Danao City 608022007 Minglanilla 608022008 Carcar 608022009 Consolacion 608022010 Naga 608022011 Liloan 608022012 Daanbantayan 608022013 Bantayan 608022014 Balamban 608022015 Bogo 608022016 Argao 608022017 Barili 608022018 Dalaguete 608022019 San Fernando 608022020 Tuburan 608022021 Pinamungahan 608022022 San Remigio 608022023 Cordoba 608022024 Medellin 608022025 San Francisco 608022026 Dumanjug 608022027 Asturias 608022028 Carmen 608022029 Sibonga 608022030 Compostela 608022031 Badian 608022032 Madridejos 608022033 Samboan, Santander 608022034 Ginatilan, Malabuyoc 608022035 Tabogon 608022036 Alcantara, Ronda 608022037 Borbon 608022038 Sogod 608022039 Alcoy, Boljoon 608022040 Catmon 608022041 Moalboal 608022042 Aloguinsan 608022043 Santa Fe 608022044 Oslob 608022045 Poro 608022046 Tabuelan 608022047 Alegria 608022048 Pilar, Tudela 608023001 Carmen, Panabo, Santo Tomas, Braulio E. Dujali 608023002 City Of Tagum (Capital) 608023003 Kapalong, Talaingod, Asuncion (Saug), San Isidro 608023004 Island Garden City Of Samal 608023005 Monkayo 608023006 Compostela 608023007 Pantukan 608023008 Nabunturan 608023009 Maco 608023010 Laak (San Vicente) 608023011 Maragusan (San Mariano) 608023012 New Corella 608023013 New Bataan 608023014 Montevista 608023015 Mabini (Doña Alicia) 608023016 Mawab 608024001 Davao City 608024002 Digos (Capital) 608024003 Malita 608024004 Santa Cruz 608024005 Jose Abad Santos (Trinidad) 608024006 Bansalan 608024007 Matanao 608024008 Santa Maria 608024009 Magsaysay 608024010 Hagonoy 608024011 Kiblawan 608024012 Don Marcelino 608024013 Malalag 608024014 Sulop 608024015 Padada 608024016 Sarangani 608025001 Mati (Capital) 608025002 Lupon 608025003 Baganga 608025004 Boston, Cateel 608025005 Governor Generoso 608025006 Manay 608025007 Banaybanay 608025008 Caraga 608025009 San Isidro 608025010 Tarragona 608026001 Borongan (Capital) 608026002 Oras, San Policarpo 608026003 Guiuan 608026004 Dolores 608026005 Can-Avid, Taft 608026006 Balangiga, Giporlos, Lawaan 608026007 San Julian, Sulat 608026008 Arteche, Jipapad, Maslog 608026009 Hernani, Llorente 608026010 General Macarthur, Quinapondan 608026011 Mercedes, Salcedo 608026012 Balangkayan, Maydolong 608027001 Aguinaldo, Alfonso Lista (Potia) 608027002 Lagawe (Capital), Mayoyao 608027003 Banaue, Hingyon 608027004 Asipulo, Kiangan 608027005 Hungduan, Tinoc 608027006 Lamut 608028001 Laoag City (Capital) 608028002 Batac 608028003 Adams, Burgos, Carasi, Dumalneg, Vintar, Piddig 608028004 Dingras 608028005 Bangui, Pagudpud 608028006 Banna (Espiritu), Marcos 608028007 San Nicolas 608028008 Bacarra 608028009 Nueva Era, Solsona 608028010 Badoc 608028011 Currimao, Pinili 608028012 Pasuquin 608028013 Sarrat 608028014 Paoay 608029001 Candon 608029002 Vigan (Capital) 608029003 Burgos, Lidlidda, Quirino (Angkaki), San Emilio 608029004 Narvacam, Nagbukel 608029005 Tagudin 608029006 Santa Cruz 608029007 San Esteban, Santa Maria 608029008 Cabugao 608029009 San Ildefonso, Santo Domingo 608029010 Bantay 608029011 Magsingal 608029012 Banayoyo, Santiago 608029013 Sinait 608029014 San Vicente, Santa Catalina 608029015 San Juan (Lapog) 608029016 Santa Lucia, Galimuyod, Salcedo (Baugen) 608029017 Cervantes, Gregorio Del Pilar (Concepcion), Sigay 608029018 Alilem, Sugpon, Suyo 608029020 Caoayan, Santa 608030001 Buenavista, San Lorenzo, Sibunag, Jordan 608030002 Bingawan, City Of Passi 608030003 Oton 608030004 Pototan 608030005 Lambunao 608030006 Dumangas 608030007 Miagao 608030008 Janiuay 608030009 Carles 608030010 Tigbauan 608030011 Santa Barbara 608030012 Cabatuan 608030013 Calinog 608030014 Batad, San Dionisio 608030015 Barotac Nuevo 608030016 San Joaquin 608030017 Leon 608030018 Ajuy 608030019 Sara 608030020 Pavia 608030021 Dingle 608030022 Estancia 608030023 Lemery, San Rafael 608030024 Barotac Viejo 608030025 Concepcion 608030026 Nueva Valencia 608030027 Alimodian 608030028 Maasin 608030029 Dueñas 608030030 San Enrique 608030031 Guimbal 608030032 Igbaras 608030033 Balasan 608030034 Banate 608030035 Leganes 608030036 Anilao 608030037 Badiangan 608030038 San Miguel 608030039 Zarraga 608030040 New Lucena 608030041 Mina 608030042 Tubungan 608030043 Iloilo City (Capital) 608031001 Cauayan, Luna 608031002 Ilagan (Capital) 608031003 City Of Santiago 608031004 Echague 608031005 Palanan, San Mariano 608031006 Alicia 608031007 San Mateo 608031008 Tumauini 608031009 Roxas 608031010 Ramon 608031011 Cabagan 608031012 Jones 608031013 Cordon 608031014 Angadanan 608031015 Cabatuan 608031016 Aurora 608031017 Divilacan, Maconacon, San Pablo 608031018 San Manuel 608031019 Naguilian 608031020 Gamu 608031021 Mallig 608031022 Benito Soliven 608031023 Delfin Albano (Magsaysay) 608031024 Quezon 608031025 Dinapigue, San Guillermo 608031026 Reina Mercedes 608031027 Santa Maria 608031028 San Isidro 608031029 Burgos 608031030 Quirino 608031031 San Agustin 608031032 Santo Tomas 608032001 Rizal (Liwan), Tabuk (Capital) 608032002 Lubuagan, Pasil, Tanudan, Tinglayan 608032003 Conner, Balbalan 608032004 Luna, Pudtol 608032005 Pinukpuk 608032006 Flora, Santa Marcela 608032007 Calanasan (Bayag), Kabugao (Capital) 608033001 City Of San Fernando (Capital) 608033002 Bauang, Caba 608033003 Aringay, Pugo 608033004 Agoo 608033005 Rosario 608033006 Naguilian 608033007 Bacnotan 608033008 Balaoan 608033009 Bagulin, Burgos, San Gabriel 608033010 Santo Tomas 608033011 Luna 608033012 San Juan 608033013 Bangar 608033014 Santol, Sudipen 608033015 Tubao 608034001 Calamba 608034002 San Pedro 608034003 Santa Rosa 608034004 Biñan 608034005 San Pablo City 608034006 Cabuyao 608034007 Santa Cruz (Capital) 608034008 Los Baños 608034009 Nagcarlan, Rizal 608034010 Calauan 608034011 Bay 608034012 Pila 608034013 Alaminos 608034014 Pagsanjan 608034015 Siniloan 608034016 Victoria 608034017 Liliw 608034018 Famy, Mabitac 608034019 Lumban 608034020 Santa Maria 608034021 Majayjay 608034022 Paete 608034023 Pangil 608034024 Magdalena 608034025 Kalayaan 608034026 Pakil 608034027 Cavinti, Luisiana 608035001 Iligan City, Tagoloan 608035002 Kapatagan, Sapad 608035003 Lala 608035004 Sultan Naga Dimaporo 608035005 Baloi 608035006 Tubod (Capital) 608035007 Pantao Ragat, Pantar 608035008 Kauswagan, Linamon 608035009 Magsaysay, Maigo 608035010 Matungao, Poona Piagapo 608035011 Nunungan, Tangcal, Munai 608035013 Salvador 608035014 Kolambugan 608035015 Bacolod 608035016 Baroy 608036001 Datu Piang, Shariff Aguak (Maganoy) (Capital) (25), Talayan, Datu Odin Sinsuat (Dinaig), Mamasapano, Talitay, Guindulungan, Datu Saudi Ampatuan, Datu Unsay, Datu Anggal Midtimbang, Datu Salibo, Datu Hoffer Ampatuan, Shariff Saydona Mustapha 608036002 Cotabato City 608036003 Marawi City 608036004 Paglat, Datu Paglas, Buluan, Gen. S. K. Pendatun, Mangudatu, Pandag 608036005 Sultan Kudarat (Nuling), Sultan Mastura 608036006 Parang 608036007 Pagalungan, Pagagawan 608036008 Upi, Datu Blah Sinsuat 608036009 Barira, Buldon 608036010 Malabang, Sultan Gumander 608036011 Ganassi, Madamba, Pualas 608036012 Bubong, Kapai, Tagoloan Ii 608036013 Masiu, Poona Bayabao (Gata) 608036014 Bumbaran, Lumba-Bayabao (Maguing) 608036015 Wao 608036016 Sultan Sa Barongis (Lambayong), Rajah Buayan 608036017 Bacolod-Kalawi (Bacolod Grande), Madalum 608036018 Lumbatan, Lumbayanague, Lumbaca-Unayan 608036019 South Upi 608036020 Ampatuan, Datu Abdullah Sangki 608036021 Kapatagan, Marogong 608036022 Kabuntalan (Tumbao), Northern Kabuntalan 608036023 Binidayan, Pagayawan (Tatarikan) 608036024 Buadiposo-Buntong, Mulondo 608036025 Marantao 608036026 Sultan Dumalondong, Butig 608036027 Balindong (Watu) 608036028 Balabagan 608036029 Calanogas, Tubaran 608036030 Matanog 608036031 Saguiaran 608036032 Tamparan 608036033 Tugaya 608036034 Piagapo 608036035 Bayang 608036036 Maguing 608036037 Taraka 608036038 Ditsaan-Ramain 608037001 Tacloban City (Capital) 608037002 Ormoc City 608037003 Baybay 608037004 Alangalang, Santa Fe 608037005 Palo 608037006 Dulag, Tolosa 608037007 Burauen, Tabontabon 608037008 Abuyog 608037009 Hilongos 608037010 Palompon 608037011 Biliran, Leyte 608037012 Tanauan 608037013 Naval (Capital) 608037014 Dagami, Pastrana 608037015 Kananga 608037016 Carigara 608037017 Inopacan, Mahaplag 608037018 Matag-Ob, Merida 608037019 Isabel 608037020 Babatngon, San Miguel 608037021 Cabucgayan, Caibiran 608037022 Albuera 608037023 Jaro 608037024 Villaba 608037025 Barugo, Tunga 608037026 Bato 608037027 Macarthur, Mayorga 608037028 Julita, La Paz 608037029 Tabango 608037030 Matalom 608037031 Capoocan 608037032 Calubian 608037033 Almeria, Culaba 608037034 San Isidro 608037035 Kawayan, Maripipi 608037036 Javier (Bugho) 608037037 Hindang 608039008 Tondo 608039014 Sampaloc 608039028 Santa Ana 608039035 Santa Cruz 608039050 Malate 608039052 Pandacan 608039054 Paco 608039055 Port Area, Intramuros, Ermita 608039063 San Nicholas, Binondo 608039072 Quiapo, San Miguel 608040001 Santa Cruz 608040002 Boac (Capital) 608040003 Gasan 608040004 Mogpog 608040005 Torrijos 608040006 Buenavista 608041001 Masbate (Capital) 608041002 Aroroy 608041003 Cawayan 608041004 Placer 608041005 Uson 608041006 Milagros 608041007 Cataingan 608041008 San Pascual 608041009 Claveria 608041010 Esperanza, Pio V. Corpuz (Limbuhan) 608041011 Batuan, Dimasalang 608041012 Mandaon 608041013 Balud 608041014 Mobo 608041015 San Jacinto 608041016 Palanas 608041017 Monreal 608041018 Baleno 608041019 San Fernando 608042001 Ozamis City 608042002 Oroquieta City (Capital) 608042003 Tangub City 608042004 Bonifacio, Concepcion, Don Victoriano Chiongbian 608042005 Sinacaban, Tudela 608042006 Aloran, Panaon 608042007 Baliangao, Sapang Dalaga 608042008 Clarin 608042009 Plaridel 608042010 Jimenez 608042011 Lopez Jaena 608042012 Calamba 608043001 Cagayan De Oro City (Capital) 608043002 Gingoog City 608043003 Balingasag 608043004 Tagoloan 608043005 El Salvador, Naawan 608043006 Balingoan, Claveria 608043007 Alubijid, Gitagum, Libertad 608043008 Binuangan, Lagonglong, Salay 608043009 Opol 608043010 Jasaan 608043011 Lugait, Manticao 608043012 Magsaysay (Linugos) 608043013 Villanueva 608043014 Medina 608043015 Initao 608043016 Talisayan 608043017 Laguindingan 608043018 Kinoguitan, Sugbongcogon 608044001 Besao, Bontoc (Capital), Sabangan, Sagada 608044002 Bauko 608044003 Paracelis 608044004 Barlig, Natonin, Sadanga 608044005 Tadian 608045001 Bacolod City (Capital) 608045002 City Of Kabankalan 608045003 Bago City 608045004 Cadiz City 608045005 Sagay City 608045006 San Carlos City 608045007 Silay City 608045008 Himamaylan 608045009 City Of Talisay 608045010 Cauayan 608045011 Escalante 608045012 City Of Victorias 608045013 Hinigaran 608045014 Calatrava 608045015 Murcia 608045016 La Castellana 608045017 Sipalay 608045018 Binalbagan 608045019 La Carlota City 608045020 Isabela 608045021 Enrique B. Magalona (Saravia) 608045022 Hinoba-An (Asia) 608045023 Ilog 608045024 Manapla 608045025 Pontevedra 608045026 Toboso 608045027 Moises Padilla (Magallon) 608045028 Valladolid 608045029 Pulupandan 608045030 Salvador Benedicto 608045031 San Enrique 608045032 Candoni 608046001 Dumaguete City (Capital) 608046002 Bayawan (Tulong) 608046003 Guihulngan 608046004 Tanjay 608046005 Bais City 608046006 Mabinay 608046007 Santa Catalina 608046008 Siaton 608046009 Sibulan 608046010 Canlaon City 608046011 Ayungon 608046012 Amlan (Ayuquitan), San Jose 608046013 Manjuyod 608046014 Bindoy (Payabon) 608046015 La Libertad 608046016 Vallehermoso 608046017 Pamplona 608046018 Tayasan 608046019 Bacong 608046020 Valencia (Luzurriaga) 608046021 Jimalalud 608046022 Dauin 608046023 Zamboanguita 608046024 Basay 608047001 Midsayap 608047002 City Of Kidapawan (Capital) 608047003 Pikit 608047004 Arakan, Magpet 608047005 M'lang 608047006 Carmen 608047007 Kabacan 608047008 Makilala 608047009 Matalam 608047010 Pigkawayan 608047011 Alamada 608047012 Tulunan 608047013 Libungan 608047014 President Roxas 608047015 Banisilan 608047016 Aleosan 608047017 Antipas 608048001 Catarman (Capital) 608048002 Lope De Vega, Mondragon, Silvino Lobos 608048003 Laoang 608048004 Biri, Lavezares, Rosario 608048005 Catubig, Mapanas 608048006 Allen, Victoria 608048007 Bobon, San Jose 608048008 Las Navas 608048009 Gamay, Lapinig 608048010 Palapag 608048011 Pambujan 608048012 Capul, San Antonio, San Vicente 608048013 San Roque 608048014 San Isidro 608049001 Cabanatuan City 608049002 San Jose City 608049003 Talavera 608049004 Guimba 608049005 Gapan 608049006 Muñoz 608049007 San Antonio 608049008 Cuyapo, Nampicuan 608049009 Cabiao 608049010 Jaen 608049011 Bongabon 608049012 San Leonardo 608049013 Aliaga 608049014 Rizal 608049015 Santo Domingo 608049016 San Isidro 608049017 Zaragoza 608049018 General Tinio (Papaya) 608049019 Lupao 608049020 Palayan City (Capital) 608049021 Carranglan 608049022 General Mamerto Natividad 608049023 Quezon 608049024 Llanera 608049025 Gabaldon (Bitulok and Sabani) 608049026 Laur 608049027 Peñaranda 608049028 Pantabangan 608049029 Licab 608049030 Talugtug 608049031 Santa Rosa 608050001 Bayombong (Capital) 608050002 Solano 608050003 Bagabag, Villaverde 608050004 Ambaguio, Kayapa, Santa Fe 608050005 Bambang 608050006 Aritao 608050007 Diadi, Quezon 608050008 Kasibu 608050009 Dupax Del Norte 608050010 Alfonso Castaneda, Dupax Del Sur 608051001 San Jose 608051002 Sablayan 608051003 Mamburao (Capital) 608051004 Santa Cruz 608051005 Rizal 608051006 Magsaysay 608051007 Abra De Ilog 608051008 Calintaan 608051009 Looc, Paluan 608051010 Lubang 608052001 Baco, City Of Calapan (Capital) 608052002 Naujan 608052003 Pinamalayan 608052004 Bongabong 608052005 Mansalay 608052006 Roxas 608052007 Puerto Galera, San Teodoro 608052008 Victoria 608052009 Gloria 608052010 Socorro 608052011 Bansud 608052012 Bulalacao (San Pedro) 608052013 Pola 608053001 Puerto Princesa City (Capital) 608053002 Brooke's Point, Sofronio Española 608053003 Linapacan, Taytay 608053004 Narra 608053005 Bataraza 608053006 Roxas 608053007 Quezon 608053008 Agutaya, Cagayancillo, Cuyo, Magsaysay 608053009 Coron 608053010 Rizal (Marcos), Disputed Kalayaan Group of Islands 608053011 Busuanga, Culion 608053012 El Nido (Bacuit) 608053013 Balabac 608053014 Araceli, Dumaran 608053015 Aborlan 608053016 San Vicente 608054001 Angeles City 608054002 San Fernando (Capital) 608054003 Mabalacat 608054004 Lubao 608054005 Mexico 608054006 Arayat 608054007 Porac 608054008 Guagua 608054009 Floridablanca 608054010 Magalang 608054011 Candaba 608054012 Apalit 608054013 Macabebe 608054014 Masantol 608054015 Santa Ana 608054016 San Luis 608054017 San Simon 608054018 Minalin 608054019 Santa Rita, Bacolor 608054020 Santo Tomas 608054022 Sasmuan (Sexmoan) 608055001 San Carlos City 608055002 Dagupan City 608055003 City Of Urdaneta 608055004 Malasiqui 608055005 Bayambang 608055006 Mangaldan 608055007 Lingayen (Capital) 608055008 Calasiao 608055009 Alaminos 608055010 Binmaley 608055011 San Fabian 608055012 Santa Barbara 608055013 Bolinao 608055014 Mangatarem 608055015 Umingan 608055016 Pozzorubio 608055017 Manaoag 608055018 Bugallon 608055019 Rosales 608055020 Villasis 608055021 Asingan 608055022 Alcala, Santo Tomas 608055023 Binalonan 608055024 Urbiztondo 608055025 San Manuel 608055026 Agno, Burgos 608055027 Bani 608055028 Sison 608055029 Tayug 608055030 Aguilar 608055031 San Jacinto 608055032 Anda 608055033 Mapandan 608055034 San Nicolas 608055035 San Quintin 608055036 Sual 608055037 Santa Maria 608055038 Basista 608055039 Bautista 608055040 Laoac 608055041 Dasol 608055042 Balungao 608055043 Mabini 608055044 Infanta 608055045 Natividad 608055046 Labrador 608056001 Lucena City (Capital) 608056002 Sariaya 608056003 Candelaria 608056004 Lopez 608056005 Tiaong 608056006 Tayabas 608056007 Calauag, Quezon 608056008 Gumaca, Plaridel 608056009 Mauban, Sampaloc 608056010 Pagbilao 608056011 Catanauan 608056012 Infanta 608056013 Atimonan 608056014 San Francisco (Aurora) 608056015 Tagkawayan 608056016 Mulanay 608056017 Lucban 608056018 San Narciso 608056019 Guinayangan 608056020 General Nakar, Panukulan 608056021 Real 608056022 San Andres 608056023 Agdangan, Padre Burgos 608056024 San Antonio 608056025 Buenavista 608056026 Alabat, Perez 608056027 Polillo 608056028 Dolores 608056029 Macalelon 608056030 General Luna 608056031 Unisan 608056032 Burdeos, Jomalig, Patnanungan 608056033 Pitogo 608057001 Diffun, Saguday 608057002 Maddela 608057003 Cabarroguis (Capital) 608057004 Aglipay 608057005 Nagtipunan 608058005 Cainta 608058006 City Of Antipolo 608058017 Taytay 608058018 Rodriguez (Montalban) 608058019 Binangonan 608058025 San Mateo 608058038 Angono 608058042 Tanay 608058062 Pililla 608058066 Morong 608058069 Cardona 608058070 Teresa 608058075 Baras 608058076 Jala-Jala 608059001 Ferrol, Odiongan 608059002 Romblon 608059003 Cajidiocan, Magdiwang 608059004 Calatrava, San Andres 608059005 Alcantara, Santa Maria 608059006 San Fernando 608059007 San Agustin 608059008 Looc 608059009 Banton, Concepcion, Corcuera 608059010 San Jose, Santa Fe 608060001 Calbayog City 608060002 Catbalogan (Capital), Zumarraga 608060003 Basey, Marabut 608060004 Daram, Talalora 608060005 Calbiga, Pinabacdao, San Sebastian 608060006 Hinabangan, Paranas (Wright) 608060007 Gandara, Pagsanghan 608060008 Santa Rita 608060009 Almagro, Santo Niño, Tagapul-An 608060010 Jiabong, Motiong 608060011 Matuguinao, San Jorge, San Jose De Buan 608060012 Villareal 608060013 Santa Margarita 608060014 Tarangnan 608061001 Lazi, San Juan 608061002 Enrique Villanueva, Larena, Maria 608061003 Siquijor (Capital) 608062001 Sorsogon (Capital) 608062002 Bulan 608062003 Pilar 608062004 Gubat 608062005 Matnog, Santa Magdalena 608062006 Castilla 608062007 Irosin 608062008 Donsol 608062009 Magallanes 608062010 Casiguran 608062011 Juban 608062012 Bulusan 608062013 Prieto Diaz 608062014 Barcelona 608063001 General Santos City (Dadiangas) 608063002 Koronadal (Capital) 608063003 Polomolok 608063004 Glan 608063005 Malungon 608063006 T'boli 608063007 Banga 608063008 Lake Sebu 608063009 Surallah 608063010 Alabel (Capital) 608063011 Malapatan 608063012 Tupi 608063013 Kiamba 608063014 Maasim 608063015 Norala 608063016 Maitum 608063017 Tantangan 608063018 Santo Niño 608063019 Tampakan 608064001 Maasin (Capital) 608064002 Libagon, Silago, Sogod 608064003 Malitbog, Padre Burgos, Tomas Oppus 608064004 Anahawan, Hinunangan, Hinundayan 608064005 Saint Bernard, San Juan (Cabalian) 608064006 Liloan, San Ricardo 608064007 Limasawa, Macrohon 608064008 Bontoc 608064009 Pintuyan, San Francisco 608065001 Tacurong 608065002 Isulan (Capital) 608065003 Lebak 608065004 Palimbang 608065005 Lambayong (Mariano Marcos) 608065006 Bagumbayan 608065007 Esperanza 608065008 Lutayan 608065009 Kalamansig 608065010 Sen. Ninoy Aquino 608065011 President Quirino 608065012 Columbio 608066001 Jolo (Capital) 608066002 Lugus, Siasi 608066003 Talipao 608066004 Indanan 608066005 Tongkil, Luuk, Omar 608066006 Parang 608066007 Patikul 608066008 Old Panamao 608066009 Hadji Panglima Tahil (Marunggas), Pangutaran 608066010 Pata, Tapul 608066011 Maimbung 608066012 Panglima Estino (New Panamao) 608066013 Kalingalan Caluang 608066014 Pandami 608067001 Surigao City (Capital) 608067002 Cagdianao, Libjo (Albor), Loreto, Tubajon 608067003 Alegria, Bacuag, Gigaquit 608067004 Mainit, Malimono 608067005 Dinagat, San Jose 608067006 San Francisco (Anao-Aon), Sison, Tagana-An 608067007 Dapa, General Luna 608067008 Placer, Tubod 608067009 Basilisa (Rizal) 608067010 Burgos, Pilar, San Isidro, Santa Monica (Sapao) 608067011 Claver, Socorro 608067012 Del Carmen, San Benito 608068001 Bislig 608068002 Cortes, Tandag (Capital) 608068003 Cantilan, Carrascal, Madrid 608068004 Barobo 608068005 Bayabas, Tago 608068006 Hinatuan 608068007 Cagwait, Marihatag 608068008 San Miguel 608068009 Tagbina 608068010 Lingig 608068011 Lianga, San Agustin 608068012 Carmen, Lanuza 608069001 City Of Tarlac (Capital) 608069002 Concepcion 608069003 Capas 608069004 Paniqui 608069005 Gerona 608069006 Camiling 608069007 Anao, Moncada 608069008 Bamban 608069009 La Paz 608069010 Victoria 608069011 Santa Ignacia 608069012 Mayantoc, San Clemente 608069013 San Jose 608069014 San Manuel 608069015 Pura 608069016 Ramos 608070001 Bongao 608070002 Sibutu, Sitangkai 608070003 Languyan 608070004 Panglima Sugala (Balimbing) (Capital) 608070005 Simunul 608070006 Sapa-Sapa 608070007 Tandubas 608070008 South Ubian 608070009 Mapun (Cagayan De Tawi-Tawi), Turtle Islands 608071001 Olongapo City 608071002 Subic 608071003 Botolan 608071004 Santa Cruz 608071005 Castillejos 608071006 Iba (Capital) 608071007 Masinloc 608071008 San Antonio 608071009 Palauig 608071010 San Marcelino 608071011 San Narciso 608071012 Candelaria 608071013 Cabangan 608071014 San Felipe 608072001 Dipolog City (Capital) 608072002 Dapitan City, Sibutad 608072003 Sindangan 608072004 Katipunan 608072005 Bacungan (Leon T. Postigo), Godod 608072006 Siocon, Baliguian 608072007 Labason 608072008 Liloy 608072009 Pres. Manuel A. Roxas 608072010 Polanco 608072011 Manukan 608072012 Siayan 608072013 Gutalac 608072014 Mutia, Piñan (New Piñan) 608072015 Sibuco 608072016 Salug 608072017 Sergio Osmeña Sr. 608072018 Jose Dalman (Ponot) 608072019 Sirawai 608072020 Tampilisan 608072021 Kalawit 608072022 La Libertad, Rizal 608073001 Zamboanga City 608073002 Pagadian City (Capital) 608073003 San Miguel, Tigbao, Dumalinao, Guipos 608073004 Ipil 608073005 Dumingag, Sominot (Don Mariano Marcos) 608073006 Lakewood, Midsalip 608073007 Molave 608073008 Aurora 608073009 Titay 608073010 Josefina, Tambulig 608073011 Mahayag 608073012 Kabasalan 608073013 Tungawan 608073014 Labangan 608073015 Payao, Siay 608073016 Tukuran 608073017 Naga 608073018 Roseller Lim 608073019 Buug 608073020 Margosatubig 608073021 Alicia 608073022 Dinas 608073023 Mabuhay 608073024 Malangas 608073025 Diplahan 608073026 Bayog 608073027 Olutanga 608073028 Kumalarang 608073029 Imelda 608073030 Dimataling 608073031 San Pablo 608073032 Ramon Magsaysay (Liargo) 608073033 Lapuyan 608073034 Pitogo 608073035 Talusan 608073036 Tabina 608073037 Vincenzo A. Sagun 608074001 Quezon City 608074005 City Of Pasig 608074012 City Of Marikina 608074015 City Of Mandaluyong 608074034 San Juan 608075002 Kalookan City 608075003 Malabon, City Of Valenzuela 608075020 Navotas 608076004 City of Las Piñas 608076007 Taguig 608076009 City of Parañaque 608076011 City Of Makati 608076013 Pasay City 608076058 Pateros 608076078 City Of Muntinlupa 608077001 Casiguran, Dilasag, Dinalungan 608077002 Maria Aurora 608077003 Baler 608077004 Dipaculao 608077005 San Luis 608077006 Dingalan GEO2_PH identifies the household's municipality within Philippines in all sample years. Municipalities are the second level administrative units of the country, after provinces. GEO2_PH is spatially harmonized accounting for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_PH can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Philippines 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. IPUMS Philippines, Municipality 1995 [Level 1, GIS] 001001 Langiden, Pidigan, San Quintin 001002 Bangued (Capital), Tayum 001003 Daguioman, Danglas, Lacub, Lagayan, Licuan-Baay (Licuan), Malibcong, Tineg 001004 Bucay, Manabo, Penarrubia, San Isidro 001005 Lagangilang, San Juan 001006 Dolores, La Paz 001007 Boliney, Bucloc, Luba (8), Sallapadan, Tubo 001008 Pilar, Villaviciosa 002001 Las Nieves 002002 Magallanes 002003 Santiago 002004 Tubay 002005 Butuan City (Capital) 002006 Buenavista, Carmen 002007 Cabadbaran, Remedios T. Romualdez 002008 Nasipit 002009 Jabonga, Kitcharao 003001 Talacogon 003002 Bunawan 003003 Rosario 003004 Loreto 003005 Santa Josefa 003006 La Paz 003007 Sibagat 003008 San Luis 003009 Bayugan 003010 Prosperidad (Capital) 003011 San Francisco 003012 Esperanza 003013 Trento 003014 Veruela 004001 Buruanga, Malay 004002 Kalibo (Capital) 004003 Balete 004004 Tangalan 004005 Altavas 004006 Makato 004007 Numancia 004008 Libacao 004009 Nabas 004010 Batan 004011 Madalag, Malinao 004012 New Washington 004013 Banga, Lezo 004014 Ibajay 005001 Jovellar, Pio Duran 005002 Tiwi 005003 Manito 005004 Oas 005005 Camalig 005006 Malinao 005007 Rapu-Rapu 005008 Malilipot 005009 Santo Domingo (Libog) 005010 Bacacay 005011 Libon 005012 Ligao 005013 Daraga (Locsin) 005014 Guinobatan 005015 Polangui 005016 Tabaco 005017 Legazpi City (Capital) 006001 Anini-Y 006002 Tobias Fornier (Dao) 006003 Bugasong 006004 Patnongon 006005 Hamtic 006006 Libertad, Pandan 006007 San Remigio, Valderrama 006008 Culasi, Sebaste 006009 San Jose (Capital) 006010 Laua-An 006011 Belison, Sibalom 006012 Caluya 006013 Tibiao 006014 Barbaza 007001 Tuburan 007002 Sumisip 007003 Maluso 007004 Lamitan 007005 Lantawan 007006 Tipo-Tipo 007007 Isabela (Capital) 008001 Abucay 008002 Bagac 008003 Mariveles 008004 Morong 008005 Samal 008006 Balanga (Capital) 008007 Dinalupihan 008008 Limay 008009 Orani 008010 Orion 008011 Hermosa 008012 Pilar 010001 San Juan 010002 Lemery 010003 Batangas City (Capital) 010004 Lipa City 010005 Nasugbu 010006 Rosario 010007 Tanauan 010008 Santo Tomas 010010 Alitagtag 010011 Mataas Na Kahoy 010012 San Luis 010013 Lian 010014 Padre Garcia 010015 Tuy 010016 Talisay 010017 San Nicolas, Santa Teresita 010018 Lobo 010019 Agoncillo 010020 Laurel 010021 Taysan 010022 Cuenca 010023 San Pascual 010024 Mabini, Tingloy 010025 Taal 010026 Calatagan 010027 Bauan 010028 Balayan 010029 San Jose 010030 Calaca 010031 Malvar, Balete 010032 Ibaan 011001 Atok, Kapangan, Tublay 011002 Itogon 011003 La Trinidad (Capital) 011004 Baguio City 011005 Buguias 011006 Sablan, Tuba 011007 Bokod, Kabayan 011008 Mankayan 011009 Bakun, Kibungan 012001 Tubigon 012002 Alburquerque, Baclayon, Loay 012003 Dauis 012004 Dagohoy, Duero, Pilar 012005 Danao, San Miguel 012006 Ubay 012007 Tagbilaran City (Capital) 012008 Sagbayan (Borja) 012009 Clarin 012010 Alicia 012011 Catigbian 012012 Garcia Hernandez 012013 Pres. Carlos P. Garcia (Pitogo) 012014 Antequera, San Isidro 012015 Inabanga 012016 Carmen 012017 Dimiao, Valencia 012018 Loon 012019 Balilihan, Corella, Sevilla 012020 Cortes, Maribojoc 012021 Jagna 012022 Lila, Loboc, Sikatuna 012023 Bien Unido 012024 Sierra Bullones 012025 Panglao 012026 Mabini 012027 Jetafe 012028 Buenavista 012029 Calape 012030 Batuan, Bilar 012031 Candijay 012032 Trinidad 012033 Talibon 012034 Anda, Guindulman 013001 Dangcagan 013002 Sumilao 013003 Kadingilan 013004 Cabanglasan 013005 Baungon 013006 Quezon 013007 Malaybalay (Capital) 013008 Valencia 013009 Talakag 013010 Don Carlos 013011 Manolo Fortich 013012 Maramag 013013 Kitaotao 013014 Pangantucan 013015 Lantapan 013016 San Fernando 013017 Impasug-Ong 013018 Kalilangan 013019 Malitbog 013020 Damulog 013021 Kibawe 013022 Libona 014001 San Jose Del Monte 014002 Malolos (Capital) 014003 Meycauayan 014004 Obando 014005 Marilao 014006 Santa Maria 014007 San Miguel 014008 Baliuag 014009 Doña Remedios Trinidad, Norzagaray 014010 Hagonoy 014011 Plaridel 014012 Bocaue 014013 Pandi 014014 Balagtas (Bigaa) 014015 Pulilan 014016 Bulacan 014017 Guiguinto 014018 San Rafael 014019 Calumpit 014020 San Ildefonso 014021 Bustos 014022 Angat 014023 Paombong 015001 Basco (Capital), Itbayat, Ivana, Mahatao, Sabtang, Uyugan, Calayan 015002 Abulug 015003 Ballesteros 015004 Allacapan 015005 Gonzaga 015006 Claveria, Santa Praxedes 015008 Enrile 015009 Piat, Rizal 015010 Lal-Lo 015011 Alcala 015012 Lasam 015013 Sanchez-Mira 015014 Camalaniugan 015015 Pamplona 015016 Santa Ana 015017 Iguig 015018 Santo Niño (Faire) 015019 Peñablanca 015020 Amulung 015021 Buguey, Santa Teresita 015022 Gattaran 015023 Tuao 015024 Aparri 015025 Solana 015026 Baggao 015027 Tuguegarao (Capital) 016001 Labo, San Vicente 016002 Jose Panganiban 016003 Daet (Capital) 016004 Mercedes 016005 Paracale 016006 Basud, San Lorenzo Ruiz (Imelda) 016007 Vinzons 016008 Santa Elena 016009 Talisay 016010 Capalonga 017001 Lagonoy 017002 Tigaon 017003 Bato 017004 Minalabac 017005 Pasacao 017006 Caramoan 017007 Bombon, Magarao 017008 San Jose 017009 Ocampo 017010 Gainza, Milaor 017011 Cabusao, Libmanan 017012 Naga City 017013 Siruma, Tinambac 017014 Buhi 017015 Presentacion (Parubcan) 017016 Camaligan 017017 San Fernando 017018 Pamplona 017019 Sagñay 017020 Canaman 017021 Balatan 017022 Lupi 017023 Del Gallego 017024 Garchitorena 017025 Calabanga 017026 Nabua 017027 Pili (Capital) 017028 Goa 017029 Sipocot 017030 Bula 017031 Ragay 017032 Baao 017033 Iriga City 018001 Mahinog, Mambajao (Capital) 018002 Catarman, Guinsiliban, Sagay 019001 Dumarao 019002 Panitan 019003 Mambusao 019004 Pilar 019005 Pontevedra 019006 Roxas City (Capital) 019007 Tapaz 019008 Sapi-An 019009 Ma-Ayon 019010 Jamindan 019011 Dao 019012 Dumalag 019013 Sigma 019014 President Roxas 019015 Ivisan 019016 Cuartero 019017 Panay 020001 Viga 020002 Bagamanoc, Pandan 020003 San Andres (Calolbon) 020004 Caramoran, Panganiban (Payo) 020005 Baras, Gigmoto, San Miguel 020006 Bato, Virac (Capital) 021001 Mendez (Mendez-Nu*Ez) 021002 Amadeo 021003 Alfonso 021004 Maragondon, Ternate 021005 General Emilio Aguinaldo, Magallanes 021006 Noveleta 021007 Trece Martires City 021008 Cavite City 021009 Tanza 021010 Gen. Mariano Alvarez 021011 Kawit 021012 Carmona 021013 Rosario 021014 Naic 021015 Indang 021016 Tagaytay City 021017 Silang 021018 General Trias 021019 Imus (Capital) 021020 Dasmariñas 021021 Bacoor 022001 Consolacion 022002 Naga 022003 Liloan 022004 Daanbantayan 022005 Toledo City 022006 Danao City 022007 Minglanilla 022008 Carcar 022009 Bantayan 022010 Talisay 022011 Mandaue City 022012 Lapu-Lapu City (Opon) 022013 Cebu City (Capital) 022014 Balamban 022015 Oslob 022016 Santa Fe 022017 Alcantara, Ronda 022018 Tabogon 022019 Sogod 022020 Borbon 022021 Catmon 022022 Alcoy, Boljoon 022023 Aloguinsan 022024 Moalboal 022025 Samboan, Santander 022026 Ginatilan, Malabuyoc 022027 Badian 022028 Madridejos 022029 Sibonga 022030 Compostela 022031 Asturias 022032 Carmen 022033 San Francisco 022034 Dumanjug 022035 Poro 022036 Tabuelan 022037 Alegria 022038 Pilar, Tudela 022039 San Remigio 022040 Pinamungahan 022041 Tuburan 022042 San Fernando 022043 Dalaguete 022044 Barili 022045 Argao 022046 Bogo 022047 Medellin 022048 Cordoba 023001 Laak (San Vicente) 023002 Maco 023003 Nabunturan 023004 Pantukan 023005 Montevista 023006 New Bataan 023007 New Corella 023008 Maragusan (San Mariano) 023009 Mawab 023010 Mabini (Doña Alicia) 023011 Panabo 023012 Santo Tomas 023013 Carmen 023014 Tagum (Capital) 023015 Kapalong, Talaingod 023016 Asuncion (Saug) 023017 Babak 023018 Kaputian 023019 Samal 023020 Monkayo 023021 Compostela 024001 Santa Maria 024002 Matanao 024003 Bansalan 024004 Jose Abad Santos (Trinidad) 024005 Santa Cruz 024006 Malita 024007 Digos (Capital) 024008 Davao City 024009 Hagonoy 024010 Magsaysay 024011 Padada 024012 Sarangani 024013 Kiblawan 024014 Don Marcelino 024015 Malalag 024016 Sulop 025001 Banaybanay 025002 Mati (Capital) 025003 Lupon 025004 Baganga 025005 Boston, Cateel 025006 Manay 025007 Governor Generoso 025008 Caraga 025009 Tarragona 025010 San Isidro 026001 Dolores 026002 Guiuan 026003 Borongan (Capital) 026004 Oras, San Policarpo 026005 Hernani, Llorente 026006 General Macarthur, Quinapondan 026007 San Julian, Sulat 026008 Arteche, Jipapad, Maslog 026009 Can-Avid, Taft 026010 Mercedes, Salcedo 026011 Balangkayan, Maydolong 026012 Balangiga, Giporlos, Lawaan 027001 Lamut 027002 Hungduan, Tinoc 027003 Asipulo, Kiangan 027004 Banaue, Hingyon 027005 Aguinaldo, Alfonso Lista (Potia) 027006 Lagawe (Capital), Mayoyao 028001 Batac 028002 Laoag City (Capital) 028003 Espiritu (Banna), Marcos 028004 Piddig 028005 Sarrat 028006 Paoay 028007 San Nicolas 028008 Bacarra 028009 Nueva Era, Solsona 028010 Badoc 028011 Currimao, Pinili 028012 Pasuquin 028013 Bangui, Pagudpud 028014 Dingras 028015 Adams, Burgos, Carasi, Dumalneg, Vintar 029001 Narvacan, Nagbukel 029002 Tagudin 029003 Vigan (Capital) 029004 Caoayan, Santa 029006 San Esteban, Santa Maria 029007 Candon 029008 San Ildefonso, Santo Domingo 029009 Cabugao 029010 Santa Cruz 029011 Burgos, Lidlidda, Quirino (Angkaki), San Emilio 029012 Banayoyo, Santiago 029013 Sinait 029014 Bantay 029015 Magsingal 029016 Santa Lucia 029017 Cervantes, Gregorio Del Pilar (Concepcion), Sigay 029018 San Vicente, Santa Catalina 029019 San Juan (Lapog) 029020 Alilem, Sugpon, Suyo 029021 Galimuyod, Salcedo (Baugen) 030001 Dueñas 030002 Concepcion 030003 Alimodian 030004 Balasan 030005 Igbaras 030006 Leganes 030007 Badiangan 030008 Anilao 030009 Zarraga 030010 San Miguel 030011 Barotac Nuevo 030012 San Joaquin 030013 Santa Barbara 030014 Cabatuan 030015 Calinog 030016 Batad, San Dionisio 030017 Banate 030018 Mina 030019 New Lucena 030020 Tubungan 030021 Sara 030022 Pavia 030023 Leon 030024 Ajuy 030025 Barotac Viejo 030026 Lemery, San Rafael 030027 San Enrique 030028 Lambunao 030029 Guimbal 030030 Maasin 030031 Dingle 030032 Estancia 030033 Tigbauan 030034 Carles 030035 Janiuay 030036 Miagao 030037 Dumangas 030038 Pototan 030039 Oton 030040 Bingawan, Passi 030041 Iloilo City (Capital) 031001 Echague 031002 Palanan, San Mariano 031003 Alicia 031004 San Mateo 031005 Ilagan (Capital) 031006 City Of Santiago 031007 San Agustin 031008 Quirino 031009 Santo Tomas 031010 Angadanan 031011 Benito Soliven 031012 Delfin Albano (Magsaysay) 031013 Gamu 031014 Mallig 031015 Reina Mercedes 031016 Santa Maria 031017 Quezon 031018 Dinapigue, San Guillermo 031019 San Isidro 031020 Burgos 031021 Cauayan, Luna 031022 Tumauini 031023 Roxas 031024 Divilican, Maconacon, San Pablo 031025 Aurora 031026 Cabatuan 031027 Cordon 031028 Jones 031029 Cabagan 031030 Ramon 031031 Naguilian 031032 San Manuel 032002 Lubuagan, Pasil, Tanudan, Tinglayan, Balbalan 032003 Pinukpuk 032004 Rizal (Liwan), Tabuk (Capital) 033001 Aringay, Pugo 033002 Bauang 033003 San Fernando (Capital) 033004 Bacnotan 033005 Caba 033006 Tubao 033007 Santol, Sudipen 033008 San Juan 033009 Bangar 033010 Agoo 033011 Rosario 033012 Naguilian 033013 Balaoan 033014 Bagulin, Burgos, San Gabriel 033015 Santo Tomas 033016 Luna 034001 Majayjay 034002 Pangil 034003 Nagcarlan, Rizal 034004 Victoria 034005 Pagsanjan 034006 Siniloan 034007 Calauan 034008 Bay 034009 Los Baños 034010 Santa Maria 034011 Kalayaan 034012 Magdalena 034013 Cavinti 034014 Paete 034015 Santa Cruz (Capital) 034016 Cabuyao 034017 Calamba 034018 San Pablo City 034019 Santa Rosa 034020 San Pedro 034021 Pila 034022 Luisiana 034023 Alaminos 034024 Biñan 034025 Pakil 034026 Liliw 034027 Lumban 034028 Famy, Mabitac 035001 Tubod 035002 Salvador 035003 Nunungan, Tangcal, Munai 035004 Baroy 035005 Kolambugan 035006 Bacolod 035007 Baloi 035008 Sultan Naga Dimaporo (Karomatan) 035010 Iligan City (Capital), Tagoloan 035011 Matungao, Poona Piagapo 035012 Pantao Ragat, Pantar 035013 Kapatagan, Sapad 035014 Lala 035015 Magsaysay, Maigo 035016 Kauswagan, Linamon 036001 Bubong, Kapai, Tagoloan Ii 036002 Ganassi, Madamba, Pualas 036003 Masiu, Poona Bayabao (Gata) 036004 Tamparan 036005 Bumbaran, Lumba-Bayabao (Maguing) 036006 Lumbatan, Lumbayanague 036007 Binidayan, Pagayawan (Tatarikan) 036008 Butig 036009 Marantao 036010 Taraka 036011 Balabagan 036012 Kapatagan, Marogong 036013 Bacolod Grande (Bacolod-Kalawi), Madalum 036014 Balindong (Watu) 036015 Calanogas, Tubaran 036016 Tugaya 036017 Ditsaan-Ramain 036018 Bayang 036019 Malabang, Sultan Gumander 036020 Maguing 036021 Buadiposo-Buntong, Mulondo 036022 Wao 036023 Saguiaran 036024 Piagapo 036025 Marawi City 037001 Capoocan 037002 Matalom 037003 Barugo, Tunga 037004 Villaba 037005 Jaro 037006 Albuera 037007 Julita, Lapaz 037008 Tabango 037009 Inopacan, Mahaplag 037010 Matag-Ob, Merida 037011 Kananga 037012 Tanauan 037013 Isabel 037014 Dagami, Pastrana 037015 Palompon 037016 Leyte 037017 Babatngon, San Miguel 037018 Carigara 037019 Calubian 037020 San Isidro 037021 Tacloban City (Capital) 037022 Baybay 037023 Ormoc City 037024 Palo 037025 Dulag, Tolosa 037026 Alangalang, Santa Fe 037027 Javier (Bugho) 037028 Hindang 037029 Burauen, Tabontabon 037030 Macarthur, Mayorga 037031 Hilongos 037032 Bato 037033 Abuyog 038001 Matanog 038002 Kabuntalan (Tumbao) 038003 Sultan Sa Barongis (Lambayong) 038004 Barira, Buldon 038005 Ampatuan 038006 South Upi 038007 Upi 038008 Sultan Kudarat (Nuling) 038009 Dinaig (Datu Odin Sinsuat)* 038010 Datu Piang 038011 Maganoy (Capital) 038012 Talayan 038013 Datu Paglas, Buluan 038014 Gen. S. K. Pendatun 038015 Parang 038016 Pagalungan 039001 Santa Cruz 039002 Sampaloc 039003 Tondo 039004 Sta Ana 039005 Paco 039006 Port Area, Intramuros, Ermita 039007 Malate 039008 Pandacan 039009 San Nicolas, Binondo 039010 Quiapo 039011 San Miguel 040001 Torrijos 040002 Santa Cruz 040003 Boac (Capital) 040004 Gasan 040005 Mogpog 040006 Buenavista 041001 Baleno 041002 Monreal 041003 Palanas 041004 Mobo 041005 Mandaon 041006 Batuan, Dimasalang 041007 Esperanza, Pio V. Corpuz (Limbuhan) 041008 San Jacinto 041009 Claveria 041010 Cataingan 041011 San Pascual 041012 Cawayan 041013 Placer 041014 Uson 041015 Milagros 041016 Masbate (Capital) 041017 Aroroy 041018 Balud 041019 San Fernando 042001 Lopez Jaena 042002 Tangub City 042003 Jimenez 042004 Calamba 042005 Aloran, Panaon 042006 Baliangao, Sapang Dalaga 042007 Bonifacio, Concepcion, Don Victoriano Chiongbian (Don Mariano Marcos 042008 Sinacaban, Tudela 042009 Oroquieta City (Capital) 042010 Ozamis City 042011 Clarin 042012 Plaridel 043001 Alubijid 043002 Gitagum, Libertad 043003 Balingoan, Claveria 043004 Magsaysay (Linugos) 043005 Villanueva 043006 Laguindingan 043007 Binuangan, Lagonglong, Salay 043008 Opol 043009 Jasaan 043010 Lugait, Manticao 043011 Medina 043012 Initao 043013 Gingoog City 043014 Tagoloan 043015 Cagayan De Oro City (Capital) 043016 Balingasag 043017 Kinoguitan, Sugbongcogon 043018 El Salvador, Naawan 043019 Talisayan 044001 Paracelis 044002 Bauko 044003 Besao, Sabangan, Sagada 044004 Bontoc (Capital) 044005 Tadian 044006 Barlig, Natonin, Sadanga 045001 Hinigaran 045002 Bago City 045003 Talisay 045004 Bacolod City (Capital) 045005 Cadiz City 045006 Manapla 045007 Ilog 045008 Calatrava 045009 San Carlos City 045010 Cauayan 045011 Enrique B. Magalona (Saravia) 045012 Pulupandan 045013 Salvador Benedicto 045014 San Enrique 045015 Candoni 045016 Pontevedra 045017 Toboso 045018 Moises Padilla (Magallon) 045019 Valladolid 045020 Silay City 045021 Himamaylan 045022 Sagay 045023 Escalante 045024 Victorias 045025 Isabela 045026 La Carlota City 045027 Hinoba-An (Asia) 045028 La Castellana 045029 Murcia 045030 Binalbagan 045031 Sipalay 045032 Kabankalan 046001 Zamboanguita 046002 Basay 046003 Sibulan 046004 Siaton 046005 Santa Catalina 046006 Mabinay 046007 Tanjay 046008 Guihulngan 046009 Amlan (Ayuquitan), San Jose 046010 Ayungon 046011 Tayasan 046012 Pamplona 046013 Dauin 046014 Dumaguete City (Capital) 046015 Bayawan (Tulong) 046016 Bais City 046017 Jimalalud 046018 Manjuyod 046019 Vallehermoso 046020 La Libertad 046021 Bindoy (Payabon) 046022 Valencia (Luzurriaga) 046023 Bacong 046024 Canlaon City 047001 Midsayap 047002 M'lang 047003 Carmen 047004 Aleosan 047005 Kabacan 047006 Makilala 047007 Alamada 047008 City Of Kidapawan (Capital) 047009 Pikit 047010 Antipas 047011 Magpet 047012 Arakan 047013 President Roxas 047014 Libungan 047015 Banisilan 047016 Pigkawayan 047017 Matalam 047018 Tulunan 048001 San Roque 048002 Biri, Lavezares, Rosario 048003 Catarman (Capital) 048004 Laoang 048005 Catubig, Mapanas 048006 Lope De Vega, Mondragon, Silvino Lobos 048007 Las Navas 048008 Gamay, Lapinig 048009 Allen, Victoria 048010 Bobon, San Jose 048011 Palapag 048012 Pambujan 048013 San Isidro 048014 Capul, San Antonio, San Vicente 049001 Bongabon 049002 Rizal 049003 Cuyapo, Nampicuan 049004 Cabiao 049005 Jaen 049006 Santo Domingo 049007 San Isidro 049008 Muñoz 049009 San Jose City 049010 Talugtug 049011 Palayan City (Capital) 049012 Lupao 049013 General Mamerto Natividad 049014 Llanera 049015 Quezon 049016 Laur 049017 Gabaldon (Bitulok and Sabani) 049018 General Tinio (Papaya) 049019 Zaragoza 049020 Carranglan 049021 Licab 049022 Peñaranda 049023 Pantabangan 049024 Aliaga 049025 San Leonardo 049026 Gapan 049027 Guimba 049028 Talavera 049029 Cabanatuan City 049030 Santa Rosa 049031 San Antonio 050001 Aritao 050002 Alfonso Castaneda, Dupax Del Sur 050003 Kasibu 050004 Diadi, Quezon 050005 Dupax Del Norte 050006 Bambang 050007 Bagabag (17), Villaverde 050008 Ambaguio, Kayapa, Santa Fe 050009 Bayombong (Capital) 050010 Solano 051001 Looc, Paluan 051002 Mamburao (Capital) 051003 San Jose 051004 Santa Cruz 051005 Sablayan 051006 Rizal 051007 Lubang 051008 Abra De Ilog 051009 Calintaan 051010 Magsaysay 052001 Gloria 052002 Socorro 052003 Pola 052004 Bansud 052005 Bulalacao (San Pedro) 052006 Puerto Galera, San Teodoro 052007 Roxas 052008 Victoria 052009 Calapan (Capital) 052010 Baco 052011 Pinamalayan 052012 Bongabong 052013 Mansalay 052014 Naujan 053001 Coron 053002 Agutaya, Cagayancillo, Cuyo, Magsaysay 053003 Busuanga, Culion 053004 Narra 053005 Puerto Princesa City (Capital) 053006 Balabac 053007 El Nido (Bacuit) 053008 Roxas 053009 Rizal (Marcos), Disputed Kalayaan Group of Islands 053010 Bataraza 053011 Quezon 053012 Araceli, Dumaran 053013 San Vicente 053014 Aborlan 053015 Brooke's Point 053016 Sofronio Española 053017 Linapacan, Taytay 054001 Sasmuan (Sexmoan) (12) 054002 Minalin 054003 Candaba 054004 Magalang 054005 Floridablanca 054006 Guagua 054007 Santa Ana 054008 San Fernando (Capital) 054009 Mabalacat 054010 Lubao 054011 San Luis 054012 Arayat 054014 Santa Rita, Bacolor 054015 Porac 054016 Angeles City 054017 San Simon 054018 Masantol 054019 Apalit 054020 Santo Tomas 054021 Mexico 054022 Macabebe 055001 Santa Maria 055002 Lingayen 055003 Dagupan City (Capital) 055004 Mangaldan 055005 Sison 055006 Agno, Burgos 055007 Mapandan 055008 San Jacinto 055009 Aguilar 055010 Tayug 055011 Bani 055012 San Quintin 055013 San Nicolas 055014 Urdaneta 055015 Bayambang 055016 Labrador 055017 San Carlos City 055018 Binmaley 055019 Calasiao 055020 Villasis 055021 Asingan 055022 Alcala, Santo Tomas 055023 Binalonan 055024 Pozzorubio 055025 Manaoag 055026 Bugallon 055027 Urbiztondo 055028 San Manuel 055029 Malasiqui 055030 Bolinao 055031 Santa Barbara 055032 Mabini 055033 Infanta 055034 Natividad 055035 Basista 055036 Bautista 055037 Sual 055038 Balungao 055039 Laoac 055040 Dasol 055041 Alaminos 055042 Rosales 055043 Anda 055044 Umingan 055045 Mangatarem 055046 San Fabian 056001 Dolores 056002 Macalelon 056003 San Antonio 056004 Buenavista 056005 Alabat, Perez 056006 Polillo 056007 General Nakar, Panukulan 056008 Real 056009 San Andres 056010 Agdangan, Padre Burgos 056011 Guinayangan 056012 San Narciso 056013 Lucban 056014 Mulanay 056015 Tagkawayan 056016 San Francisco (Aurora) 056017 Atimonan 056018 Infanta 056019 Catanauan 056020 Pagbilao 056021 Lopez 056022 Tiaong 056023 Calauag, Quezon 056024 Lucena City (Capital) 056025 Candelaria 056026 Mauban, Sampaloc 056027 Gumaca, Plaridel 056028 Pitogo 056029 Burdeos, Jomalig, Patnanungan 056030 Sariaya 056032 Unisan 056033 General Luna 056034 Tayabas 057001 Nagtipunan 057002 Aglipay 057003 Diffun, Saguday 057004 Cabarroguis (Capital) 057005 Maddela 058001 Jala-Jala 058002 Baras 058003 Teresa 058004 Cardona 058005 Pililla 058006 Morong 058007 Taytay 058008 Rodriguez (Montalban) 058009 Cainta 058010 Antipolo 058011 Angono 058012 Tanay 058013 Binangonan 058014 San Mateo 059001 San Fernando 059002 Looc 059003 Banton, Concepcion, Corcuera 059004 San Agustin 059005 San Jose, Santa Fe 059006 Cajidiocan, Magdiwang 059007 Romblon (Capital) 059008 Ferrol, Odiongan 059009 Alcantara, Santa Maria (Imelda) 059010 Calatrava, San Andres 060001 Santa Rita 060002 Gandara, Pagsanghan 060003 Jiabong, Motiong 060004 Almagro, Santo Niño, Tagapul-An 060005 Villareal 060006 Matuguinao, San Jorge, San Jose De Buan 060007 Tarangnan 060008 Santa Margarita 060009 Calbayog City 060010 Catbalogan (Capital), Zumarraga 060011 Basey, Marabut 060012 Daram, Talalora 060013 Calbiga, Pinabacdao, San Sebastian 060014 Hinabangan, Paranas (Wright) 061001 Enrique Villanueva, Larena, Maria 061002 Lazi, San Juan 061003 Siquijor (Capital) 062001 Barcelona 062002 Prieto Diaz 062003 Bulusan 062004 Juban 062005 Casiguran 062006 Donsol 062007 Magallanes 062008 Castilla 062009 Irosin 062010 Gubat 062011 Matnog, Santa Magdalena 062012 Bulan 062013 Pilar 062014 Sorsogon (Capital) 062015 Bacon 063001 Polomolok 063002 Koronadal (Capital) 063003 General Santos City (Dadiangas) 063004 Banga 063005 T'boli 063006 Tantangan 063007 Santo Niño 063008 Tampakan 063009 Lake Sebu 063010 Surallah 063011 Tupi 063012 Norala 064001 Bontoc 064002 Pintuyan, San Francisco 064003 Liloan, San Ricardo 064004 Limasawa, Macrohon 064005 Anahawan, Hinunangan, Hinundayan 064006 Saint Bernard, San Juan (Cabalian) 064007 Maasin (Capital) 064008 Libagon, Silago, Sogod 064009 Malitbog, Padre Burgos, Tomas Oppus 065001 Tacurong 065002 Isulan (Capital) 065003 Lebak 065004 Palimbang 065005 Bagumbayan 065006 Lambayong (Mariano Marcos) 065007 Lutayan 065008 Esperanza 065009 Sen. Ninoy Aquino 065010 Kalamansig 065011 Columbio 065012 President Quirino 066001 Talipao 066002 Indanan 066003 Luuk, Tongkil 066004 Parang 066005 Patikul 066006 Old Panamao 066007 Pandami 066008 Kalingalan Caluang 066009 Maimbung 066010 Hadji Panglima Tahil (Marunggas), Pangutaran 066011 Pata, Tapul 066012 Panglima Estino (New Panamao) 066013 Lugus, Siasi 066014 Jolo (Capital) 067001 Placer, Tubod 067002 Dapa, General Luna 067003 Cagdianao, Libjo (Albor), Loreto, Tubajon 067004 Surigao City (Capital) 067005 San Francisco (Anao-Aon), Sison, Tagana-An 067006 Dinagat, San Jose 067007 Mainit, Malimono 067008 Alegria, Bacuag, Gigaquit 067009 Claver, Socorro 067010 Del Carmen, San Benito 067011 Basilisa (Rizal) 067012 Burgos, Pilar, San Isidro, Santa Monica (Sapao) 068001 Cortes, Tandag (Capital) 068002 Cantilan, Carrascal, Madrid 068003 Bislig 068004 Barobo 068005 Bayabas, Tago 068006 Cagwait, Marihatag 068007 Hinatuan 068008 Lianga, San Agustin 068009 Lingig 068011 Carmen, Lanuza 068012 Tagbina 068013 San Miguel 069001 Ramos 069002 Pura 069003 San Manuel 069004 San Jose 069005 Capas 069006 Paniqui 069007 Santa Ignacia 069008 Mayantoc, San Clemente 069009 Concepcion 069010 Tarlac (Capital) 069011 Anao, Moncada 069012 Bamban 069013 La Paz 069014 Victoria 069015 Gerona 069016 Camiling 070001 Bongao (Capital) 070002 Panglima Sugala (Balimbing) 070003 Languyan 070004 Sitangkai 070005 Simunul 070006 South Ubian 070007 Mapun (Cagayan De Tawi-Tawi), Turtle Islands 070008 Sapa-Sapa 070009 Tandubas 071001 San Marcelino 071002 Palauig 071003 Candelaria 071004 San Narciso 071005 San Felipe 071006 Cabangan 071007 San Antonio 071008 Masinloc 071009 Castillejos 071010 Iba (Capital) 071011 Botolan 071012 Santa Cruz 071013 Olongapo City 071014 Subic 072001 Dipolog City (Capital) 072003 Sibuco 072004 Salug 072005 Gutalac 072006 Mutia, Piñan (New Piñan) 072007 Sirawai 072008 Tampilisan 072009 Sergio Osmeña Sr. 072010 Jose Dalman (Ponot) 072011 Kalawit 072012 La Libertad, Rizal 072013 Dapitan City, Sibutad 072014 Siayan 072015 Manukan 072016 Liloy 072017 Labason 072018 Polanco 072019 Pres. Manuel A. Roxas 072020 Katipunan 072021 Sindangan 072022 Siocon, Baliguian 072023 Bacungan (Leon T. Postigo), Godod 073001 Labangan 073002 Siay 073003 Payao 073004 Tukuran 073005 Naga 073006 Josefina, Tambulig 073007 Mahayag 073008 Kabasalan 073009 Tungawan 073010 Roseller Lim 073011 Boug 073012 Alicia 073013 Margosatubig 073014 Mabuhay 073015 Dinas 073016 Diplahan 073017 Malangas 073018 Olutanga 073019 Bayog 073020 Imelda 073021 Kumalarang 073022 Lakewood, Midsalip 073023 Molave 073024 Dumingag, Sominot (Don Mariano Marcos) 073025 Ipil 073026 San Miguel, Tigbao, Guipos 073027 Dumalinao 073028 Pagadian City (Capital) 073029 Zamboanga City 073030 Titay 073031 Aurora 073032 Tabina 073033 Vincenzo A. Sagun 073034 Pitogo 073035 Talusan 073036 Ramon Magsaysay (Liargo) 073037 Lapuyan 073038 Dimataling 073039 San Pablo 074001 Mandaluyong 074002 Marikina 074003 San Juan 074004 Quezon City 074005 Pasig 075001 Kalookan City 075002 Navotas 075003 Valenzuela 075004 Malabon 076001 Makati 076002 Paranaque 076003 Muntinlupa 076004 Pasay City 076005 Pateros 076006 Taguig 076007 Las Pinas 077001 Casiguran, Dilasag, Dinalungan 077002 Maria Aurora 077003 Baler (Capital) 077004 Dipaculao 077005 San Luis 077006 Dingalan 078002 Naval 078003 Almeria, Culaba 078004 Cabucgayan, Caibiran, Biliran (Capital) 078005 Kawayan, Maripipi 079001 Nueva Valencia 079002 Buenavista 079003 San Lorenzo, Sibunag 079004 Jordan 080001 Glan 080002 Alabel (Capital) 080003 Malungon 080004 Kiamba 080005 Malapatan 080006 Maasim 080007 Maitum 081001 Conner 081002 Luna, Pudtol 081003 Flora, Santa Marcela 081004 Calanasan, Kabugao (Capital) 083001 Cotabato City GEO2_PH1995 identifies the household's municipality within the Philippines in 1995. Municipalities are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_PH1995 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for the Philippines 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. IPUMS Region, Philippines 1990-2010 [Level 0; consistent boundaries, GIS] 01 Ilocos 02 Cagayan Valley 03 Central Luzon 04 Calabarzon 05 Bicol 06 Western Visayas 07 Central Visayas 08 Eastern Visayas 09 Zamboanga Peninsula 10 Northern Mindanao 11 Davao 12 Soccsksargen 13 National Capital Region 14 Cordillera Administrative Region 15 Autonomous Region in Muslim Mindanao 16 Caraga 17 Mimaropa REGNPH indicates the region in the Philippines in which the household was enumerated. It is the largest-scale geographic identifier available in the Philippines samples. REGNPH corresponds to the regional organization found in the 2010 census sample. The full set of geography variables for the Philippines 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. IPUMS Household classification 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 HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. IPUMS Number of families in household Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families NFAMS is a constructed variable that indicates the number of families within each household. 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. IPUMS Number of married couples in household No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). IPUMS Number of mothers in household No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). IPUMS Number of fathers in household No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). IPUMS 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. IPUMS Dwelling number Philippines 1995: All households This variable indicates the dwelling number. This is a 8-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household Philippines 1995: All households 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 This variable indicates the number of persons in the household. IPUMS Dwelling created by splitting apart a large dwelling or household Philippines 1995: All households 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 This variable indicates whether there was problem associated with dwelling being created by splitting apart a large dwelling or household. IPUMS Region <svar a="all" v="PH95A031 PH95A032"><span class="h2">Geographic Identification</span><br /><br />__ __ Province<br />___ City/Municipality<br />__ __ __ Barangay<br />__ __ Enumeration Area No.<br />__ __ __ Household Serial No.<br />___ Address<br />House Number and Street Name or Name of <span class="lang">Sitio</span><br /></svar> Philippines 1995: All households 01 Ilocos 02 Cagayan Valley 03 Central Luzon 04 Southern Tagalog 05 Bicol 06 Western Visayas 07 Central Visayas 08 Eastern Visayas 09 Western Mindanao 10 Northern Mindanao 11 Southern Mindanao 12 Central Mindanao 13 National Capital Region 14 Cordillera 15 Autonomous Region in Muslim Mindanao IPUMS Institution/household type Philippines 1995: All households 01 Hotels 02 Hospitals 03 Welfare institutions 04 Corrective institutions 05 Convents 06 Military camps 07 Logging, mining 08 Ocean-going 09 Refugee camps 10 Private households 98 Unknown This variable indicates the institution/household type. There is a separate category for private households. The collective households types are further detailed. IPUMS Strata Philippines 1995: 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 6-digit numeric variable with 0 implied decimal places IPUMS 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. IPUMS Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. IPUMS 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 IPUMS 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 IPUMS 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 IPUMS Rule for linking parent 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 PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Rule for linking spouse 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) SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. IPUMS Probable stepmother 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 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. IPUMS Probable stepfather 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 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. IPUMS Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. IPUMS Family unit membership 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. IPUMS Number of own family members in household 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 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). IPUMS Number of own children in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Number of own children under age 5 in household 00 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 NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. IPUMS Age of eldest own child in household 00 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 ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. IPUMS Age of youngest own child in household 00 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 YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. IPUMS Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to household head [detailed version] 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 RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Age 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 AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. IPUMS Age, grouped into intervals 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 AGE2 gives computed years of age grouped into intervals. IPUMS Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. IPUMS Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Marital status [detailed version] 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 MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. IPUMS Consensual union 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. IPUMS Has birth certificate or birth is registered 1 Yes 2 No 3 Respodent does not know 8 Unknown 9 NIU (not in universe) BTHCERT indicates whether the person has a birth certificate or their own birth is registered. IPUMS Ethnicity, Philippines 001 Abelling, Abellen, Aberling, or Aborlin 002 Abiyan 003 Aburin 004 Adasen 005 Aeta or Ayta 006 Agta 007 Agta-Cimaron 008 Agta-Agay 009 Agta-Dumagat 010 Agta-Tabangnon 011 Agta-Taboy 012 Agutaynen 013 Akeanon 014 Alangan 015 Ambala 016 Applai 017 Aromanen-Manobo 018 Ata 019 Ata or Negrito 020 Ata-Manobo 021 Ati 022 Ayangan 023 B'laan or Blaan 024 Badjao 025 Bago 026 Bagobo 027 Bagobo-Tagabawa 028 Bajao or Bajau 029 Balangao 030 Balatok 031 Baliwon or Gaddang 032 Banao 033 Bangon 034 Bantoanon 035 Banwaon 036 Batak 037 Batangan 038 Belwang 039 Bikol or Bicol 040 Binongan 041 Bisaya or Binisaya 042 Boholano 043 Bolinao 044 Bontok 045 Bugkalot or Ilongot 046 Buhid 047 Buhid (Bangon) 048 Bukidnon 049 Butuanon 050 Cagayanen 051 Calinga 052 Capizeño 053 Caviteño 054 Caviteño-Chavacano 055 Cebuano 056 Cimaron 057 Clata or Klata 058 Cotabateño 059 Cotabateño-Chavacano 060 Cuyonon or Cuyonen 061 Davao-Chavacano 062 Davaweño 063 Diangan 064 Dibabawon 065 Dibabeen Mulitaan 066 Dibaben 067 Direrayaan 068 Dumagat or Alta 069 Dumagat 070 Eskaya 071 Gaddang 072 Gubang 073 Gubatnon 074 Guiangan 075 Halawodnon 076 Hamtikanon 077 Hanunuo 078 Henanga 079 Higaonon 080 Hiligaynon, Ilonggo 081 Ibaloi or Ibaloy 082 Ibanag 083 Ibatan 084 Ibontoc 085 Ifugao 086 Ikalahan/Kalanguya 087 Ilianen 088 Illaud 089 Ilocano 090 Iranon, Iranun, or Iraynon 091 Iraya 092 Isinai 093 Isamal Kanlaw 094 Isarog 095 Isneg, Isnag, or Apayao 096 Isoroken 097 Itawis 098 Itawit 099 Itneg or Tingguian 100 Ivatan 101 Iwak, Iowak, Owak, or I-wak 102 Iyapplai 103 Iyiwaks 104 Jama Mapun 105 Kaagan 106 Kabayukan 107 Kabihug 108 Kadaklan or kachakran 109 Kagayanen 110 Kalagan 111 Kalamianen 112 Kalanguya 113 Kalanguya-Ikalahan 114 Kalibugan or Kolibugan 115 Kalinga 116 Kamayo 117 Kamiguin 118 Kankanaey 119 Kapampangan 120 Kapul 121 Karao 122 Karaga 123 Karay-a 124 Karulano 125 Kasigurahin 126 Kaunana 127 Ke'ney, Ken-ey, or Tau't-Bato 128 Kinalinga 129 Kinray-a 130 Kirenteken 131 Kolibugan/Kalibugan 132 Lahitanen 133 Lambangian 134 Langilan 135 Ligbuk/Lugbok 136 Livunganen 137 Mabaka 138 Maeng 139 Magahats 140 Mag-anti, Mag-Antsi, or Mag-anchi 141 Magbekin, Magbukon, or Magbukun 142 Mag-indi 143 Magkunana 144 Maguindanao 145 Majokayong 146 Malaueg 147 Mamanwa 148 Mandaya 149 Mangguangan 150 Manobo/Ata-Manobo 151 Manobo-Blit 152 Manobo-Dulangan 153 Mansaka 154 Manubo-Ubo or Manobo-Ubo 155 Maranao 156 Masadiit 157 Masbateño or Masbatenon 158 Matigsalog or Matigsalug 159 Molbog 160 Muyadan 161 Negrito 162 Obu-Manuvu or Ubo-Manobo 163 Pala'wan or Palawan-o 164 Palawani 165 Pan-ayanon 166 Panay-Bukidnon 167 Pangasinan or Panggalato 168 Parananum 169 Pulangien or Pulangiyen 170 Ratagnon 171 Remontado 172 Romblomanon 173 Sama Badjao 174 Sama Bangingi 175 Sama Dilaya 176 Sama Laut 177 Sama or Samal 178 Sangil 179 Sibuyan Mangyan-Tagabukid 180 Subanen, Subanon, or Subanun 181 Sulod 182 Surigaonon 183 T'boli or Tboli 184 Tabagnon 185 Tadyawan 186 Tagabawa 187 Tagakaulo 188 Tagalog 189 Tagbanua 190 Tagbanua (Kalamianen) 191 Tagbanua or Calamian 192 Talaandig 193 Talaingod 194 Tau-buid 195 Tausug 196 Teduray 197 Ternateno-Chavacano 198 Tigwahanon 199 Tinananen 200 Tinggian 201 Tiruray 202 Tuwali 203 Ubo 204 Umayamnon 205 Waray 206 Yakan 207 Yapayao 208 Yogad 209 Zambageño-Chavacano 210 Zambal 211 Other local ethnicity 212 American or English 213 Chinese 214 Other foreign ethnicity 998 Response Suppressed 999 Not stated ETHNICPH indicates the ethnicity of an individual: the group to which the person traces their family ties by blood, within the Philippines. IPUMS Mother tongue, Philippines 001 Tagalog 002 Cebuano 003 Hiligaynon 004 Hiligaynon; Ilon 005 Ilocano 006 Ibanag 007 Pampanago 008 Pangasinan 009 Waray 010 Bicol 011 Maguindanao 012 Maranao 013 Tausug 014 Abaknon; Surigaonon 015 Aburlin; Tagakaolo 016 Agta 017 Agutaynon 018 Aklanon 019 Aklanon; Talaandig 020 Apayao; Talaingod 021 Atta 022 Ata-Manobo 023 Badjao 024 Bagobo 025 Bagobo-Guianga 026 Bagobo; Umayanon 027 Balangao 028 Bantoanon 029 Banuanon 030 Batak 031 Bikol 032 Binisaya 033 Binukid 034 Bilaan 035 B'laan; Zambal 036 Boholano 037 Bolinao 038 Bontoc 039 Botolan 040 Bukidnon 041 Butuanon 042 Cagayano 043 Chavacano 044 Cotabateno-Chavacano 045 Davao-Chavacano 046 Ternateno-Chavacano 047 Zamboangeno-Chavacano 048 Caviteno-Chavacano 049 Cuyano 050 Davaweno 051 Dibabawon 052 Dumagat 053 Gaddang 054 Hantikanon 055 Ibaloi 056 Ikalahan 057 Ilanum 058 Ilongot 059 Inibaloi 060 Itawis 061 Itbayaten 062 Itneg 063 Iraya 064 Isamal Kanlaw 065 Isinai 066 Isneg 067 Ifugao 068 Ivatan 069 I'wak 070 Jama Mapun 071 Kaagan 072 Kagayanen 073 Kalagan 074 Kalamianon 075 Kalibugan 076 Kalinga 077 Kallahan 078 39 = Kamayo 079 Kankanai 080 Kankaney 081 Kapampangan 082 Kasiguranin 083 Kamigin 084 Kapul 085 Karaga 086 Kene 087 Kinamigin 088 Kinaray-A 089 Kolibugan 090 Kulaman 091 Kuyonon 092 Malbog 093 Malaweg 094 Mamanwa 095 Mandaya 096 Mangyan 097 Manobo 098 Mansaka 099 Masbateno 100 Matigsalug 101 Molbog 102 Negrito 103 Obian 104 Palaweno 105 Parauan 106 Palawan 107 Pinalawan 108 Planan 109 Pullon-Mapun 110 Romblon 111 Sama 112 Samar-Leyte 113 Sama Dilaya 114 Sambal 115 Sangil 116 Subanon 117 Subanun 118 Sulod 119 Susigaonon 120 T-Boli 121 Tagakaulo 122 Tag-Baneva 123 Tagbanua 124 Tinggian 125 Tiruray 126 Ubo 127 Yakan 128 Yokad 129 Zambal 199 Other local dialect 201 Belgian 202 Chinese 203 Dutch 204 English 205 French 206 German 207 Hindi 208 Indonesian 209 Italian 210 Japanese 211 Spanish 212 Thai 299 Other foreign dialect 999 Unknown MTONGPH indicates the language or dialect spoken by the person in earliest childhood. IPUMS Educational attainment, international recode [general version] NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. IPUMS Educational attainment, international recode [detailed version] 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 EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. IPUMS Years of schooling 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) 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. IPUMS Educational attainment, Philippines 00 NIU (not in universe) 10 None or preschool 11 None 12 Pre-school 20 Grades 1 to 4 21 Primary, grade 1 22 Primary, grade 2 23 Primary, grade 3 24 Primary, grade 4 30 Grades 5 to 7 31 Primary, grade 5 32 Primary, grade 6 33 Primary, grade 7 40 High school 41 Secondary, grade 1 42 Secondary, grade 2 43 Secondary, grade 3 44 Secondary, grade 4 50 Training or associate degree 51 Training or associate degree, 1 year 52 Training or associate degree, 2 years 53 Training or associate degree completed 60 Undergraduate education 61 University undergraduate, 1 year 62 University undergraduate, 2 years 63 University undergraduate, 3 years 64 University undergraduate, 4 years 65 University undergraduate, 5 years 66 University undergraduate, 6+ years 67 University undergraduate, years unknown 69 University graduate 70 Post-graduate 99 Unknown EDUCPH indicates the person's educational attainment in the Philippines in terms of the level of schooling completed and number of years within level. IPUMS Industry, general recode 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 INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. IPUMS Industry, unrecoded "Industry" 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 IPUMS Status in employment (class of worker) [general version] NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Status in employment (class of worker) [detailed version] 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 CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. IPUMS Sector of employment 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 EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked. IPUMS Overseas worker, Philippines NIU (not in universe) 1 Yes 2 No 9 Unknown OVERSEA indicates if the household member was working overseas at the time of the census. IPUMS Disability status NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown DISABLED indicates whether the person reported a disability of any kind. IPUMS Blind or vision-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISBLND indicates whether the person was blind or had limited vision. IPUMS Deaf or hearing-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISDEAF indicates whether the person was deaf or had limited hearing. IPUMS Mute or speech impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISMUTE indicates if the person could not speak or had a significant speech impediment. IPUMS Disability affecting lower extremities NIU (not in universe) 1 Yes 2 No 9 Unknown DISLOWR indicates whether the person lacked use of one or both legs. IPUMS Disability affecting upper extremities NIU (not in universe) 1 Yes 2 No 9 Unknown DISUPPR indicates whether the person lacked full use of at least one arm or hand. IPUMS Mental disability NIU (not in universe) 1 Yes 2 No 9 Unknown DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. IPUMS Psychological disability NIU (not in universe) 1 Yes 2 No 9 Unknown DISPSYC indicates whether the person was disabled due to mental illness. IPUMS Person number (within household) Philippines 1995: All persons 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 This variable indicates the person number (within household). IPUMS Household type Philippines 1995: All persons 1 Person in household 2 Person in institution This variable indicates the record type: whether the person is in household or in institution. IPUMS Overseas worker [discrepancies: none] <svar v="PH95A402 PH95A403 PH95A404 PH95A405 PH95A406 PH95A407 PH95A408 PH95A409"><span class="h2">All Persons</span><br />[Applies to questions P1-P10]<br /></svar></p> <p><span class="h3">Overseas Worker</span> Philippines 1995: Persons in private households [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person is an overseas worker or not. IPUMS Relationship to head <svar v="PH95A402 PH95A403 PH95A404 PH95A405 PH95A406 PH95A407 PH95A408 PH95A409"><span class="h2">All Persons</span><br />[Applies to questions P1-P10]<br /></svar></p> <p><span class="h3"> Relationship to Head</span></p> <p><svar a="all" v="PH95A403"><span class="em">P2. What is [respondent]'s relationship to the household head?</span><br />Enter code. (See codes sheet)<br /><div class="i1">[] 1. Head<br />[] 2. Spouse<br />[] 3. Son<br />[] 4. Daughter<br />[] 5. Stepson<br />[] 6. Stepdaughter<br />[] 7. Son-in-law<br />[] 8. Daughter-in-law<br />[] 9. Grandson<br />[] 10. Granddaughter<br />[] 11. Father<br />[] 12. Mother<br />[] 13. Brother<br />[] 14. Sister<br />[] 15. Uncle<br />[] 16. Aunt<br />[] 17. Nephew<br />[] 18. Niece<br />[] 19. Other relative<br />[] 20. Non-relative<br />[] 21. Boarder<br />[] 22. Domestic helper</div><br /></svar> Philippines 1995: All persons 01 Head 02 Spouse 03 Son 04 Daughter 05 Stepson 06 Stepdaughter 07 Son-in-law 08 Daughter-in-law 09 Grandson 10 Granddaughter 11 Father 12 Mother 13 Brother 14 Sister 15 Uncle 16 Aunt 17 Nephew 18 Niece 19 Other relative 20 Non-relative 21 Boarder 22 Domestic helper 99 Persons in institutions/collective households This variable indicates the relationship to the household head. IPUMS Age <svar v="PH95A402 PH95A403 PH95A404 PH95A405 PH95A406 PH95A407 PH95A408 PH95A409"><span class="h2">All Persons</span><br />[Applies to questions P1-P10]<br /></svar></p> <p><svar a="all" v="PH95A404"><span class="em">P4. What was [respondent]'s date of birth?</span><br /><div class="i1">_ _ Month<br />_ _ Year<br /><br /><span class="em">P5. What is [respondent]'s age as of his/her last birthday?</span><br />___<br /><br /><span class="em">Was [respondent]'s birth registered with the LCR? </span><br />If yes, check line<br /><br />___ Reg?</div><br /></svar> Philippines 1995: All persons 000 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105+ 999 Unknown This variable indicates the age of the person. IPUMS Sex <svar v="PH95A402 PH95A403 PH95A404 PH95A405 PH95A406 PH95A407 PH95A408 PH95A409"><span class="h2">All Persons</span><br />[Applies to questions P1-P10]<br /></svar></p> <p><svar a="all" v="PH95A405"><span class="em">P6. Is [respondent] male or female?</span><br /> Enter code. (See codes sheet)<br /><br /><div class="i1">[] 1. Male<br />[] 2. Female</div><br /></svar> Philippines 1995: All persons 1 Male 2 Female This variable indicates the gender of the person. IPUMS Marital status <svar v="PH95A402 PH95A403 PH95A404 PH95A405 PH95A406 PH95A407 PH95A408 PH95A409"><span class="h2">All Persons</span><br />[Applies to questions P1-P10]<br /></svar></p> <p><svar a="all" v="PH95A406"><span class="em">P7. What is [respondent]'s civil status?</span><br /> Enter code. (See codes sheet)<br /><br /><div class="i1">[] 1. Single<br />[] 2. Legally Married<br />[] 3. Widowed<br />[] 4. Separated/Divorced<br />[] 5. Common-Law/Live-in<br />[] 6. Unknown</div><br /></svar> Philippines 1995: All persons 1 Single 2 Legally married 3 Widowed 4 Separated/divorced 5 Common-law/live-in 6 Respondent does not know This variable indicates the marital status of the person. IPUMS Disabled <svar v="PH95A402 PH95A403 PH95A404 PH95A405 PH95A406 PH95A407 PH95A408 PH95A409"><span class="h2">All Persons</span><br />[Applies to questions P1-P10]<br /></svar></p> <p><svar a="all" v="PH95A407 PH95A408"><span class="em">P8. Does [respondent] have any problem with his/her eyes, ears, speech, communication, legs, arms or any combination of these impairments?</span><br />Encircle code.<br /><div class="i1">[] 1. Yes<br />[] 2. No. Skip to P10.</div><br /><br /><span class="em">P9. What type of disability does [respondent] have?</span><br /><br /><div class="i1">[] 01. Cannot see with both eyes (TOT-BLIND)<br />[] 02. Absence of one eye with low vision on the other eye (PART-BLIND)<br />[] 03. Can see form or movement but not details of objects (color, surface, lines) (LOW VISION)<br />[] 04. Cannot hear with both ears (TOT-DEAF)<br />[] 05. Cannot hear with one ear but with moderate hearing loss on the other ear (PART-DEAF 1)<br />[] 06. Can hear speech but cannot discriminate the words (PART-DEAF 2)<br />[] 07. Cannot say words (MUTE)<br />[] 08. Can say words but stammers (includes cleft-palate and hare-lip with speech defect) (SPEECH DEFECT)<br />[] 09. Loss of one or both arms/hands (NO ARM)<br />[] 10. Loss of one or both legs/feet (NO LEG)<br />[] 11. Paralysis of one or both upper extremities (PARA-ARMS)<br />[] 12. Paralysis of one or both lower extremities (PARA-LEGS)<br />[] 13. Paralysis of one arm and one leg (PARA-COM)<br />[] 14. Paralysis of all four limbs (QUADRIP)<br />[] 15. Can learn simple communication, elementary health and safety habit and simple manual skills, but does not progress in functional reading or arithmetic (REGARDED)<br />[] 16. Mentally ill (INSANE)<br />[] 17. Others, specify (includes multiple disabilities and other combination of arm-leg impairment/paralysis) (OTHER)</div><br /></svar> Philippines 1995: All persons 1 Yes 2 No This variable indicates whether the person is disabled or not. IPUMS Type of disability <svar v="PH95A402 PH95A403 PH95A404 PH95A405 PH95A406 PH95A407 PH95A408 PH95A409"><span class="h2">All Persons</span><br />[Applies to questions P1-P10]<br /></svar></p> <p><svar a="all" v="PH95A407 PH95A408"><span class="em">P8. Does [respondent] have any problem with his/her eyes, ears, speech, communication, legs, arms or any combination of these impairments?</span><br />Encircle code.<br /><div class="i1">[] 1. Yes<br />[] 2. No. Skip to P10.</div><br /><br /><span class="em">P9. What type of disability does [respondent] have?</span><br /><br /><div class="i1">[] 01. Cannot see with both eyes (TOT-BLIND)<br />[] 02. Absence of one eye with low vision on the other eye (PART-BLIND)<br />[] 03. Can see form or movement but not details of objects (color, surface, lines) (LOW VISION)<br />[] 04. Cannot hear with both ears (TOT-DEAF)<br />[] 05. Cannot hear with one ear but with moderate hearing loss on the other ear (PART-DEAF 1)<br />[] 06. Can hear speech but cannot discriminate the words (PART-DEAF 2)<br />[] 07. Cannot say words (MUTE)<br />[] 08. Can say words but stammers (includes cleft-palate and hare-lip with speech defect) (SPEECH DEFECT)<br />[] 09. Loss of one or both arms/hands (NO ARM)<br />[] 10. Loss of one or both legs/feet (NO LEG)<br />[] 11. Paralysis of one or both upper extremities (PARA-ARMS)<br />[] 12. Paralysis of one or both lower extremities (PARA-LEGS)<br />[] 13. Paralysis of one arm and one leg (PARA-COM)<br />[] 14. Paralysis of all four limbs (QUADRIP)<br />[] 15. Can learn simple communication, elementary health and safety habit and simple manual skills, but does not progress in functional reading or arithmetic (REGARDED)<br />[] 16. Mentally ill (INSANE)<br />[] 17. Others, specify (includes multiple disabilities and other combination of arm-leg impairment/paralysis) (OTHER)</div><br /></svar> Philippines 1995: Persons who are disabled [discrepancies: none] 01 Totally blind 02 Partially blind 03 Low vision 04 Totally deaf 05 Partially deaf 1 06 Partially deaf 2 07 Mute 08 Speech defect 09 No arm 10 No leg 11 Paralyzed arms 12 Paralyzed legs 13 Paralyzed com 14 Quadriplegic 15 Retarded 16 Insane 17 Other 98 Unknown 99 NIU (not in universe) This variable indicates the type of disability for those who are disabled. IPUMS Ethnicity/mother toungue <svar v="PH95A402 PH95A403 PH95A404 PH95A405 PH95A406 PH95A407 PH95A408 PH95A409"><span class="h2">All Persons</span><br />[Applies to questions P1-P10]<br /></svar></p> <p><svar a="all" v="PH95A409"><span class="em">P10. What is [respondent]'s citizenship?</span><br /> If not Filipino, enter "97"<br /> If Filipino, ask<br /><br /><span class="em">What was [respondent]'s dialect/language spoken at home at earliest childhood?</span><br />[82 categories are specified in the CP Form 2A Codes Sheet: see image]<br /></svar> Philippines 1995: All persons 000 Sama(Samal) 001 Abaknon; Surigaonon 002 Aburlin; Tagakaolo 003 Aklanon; Talaandig 004 Apayao; Talaingod 005 Bagobo; Umayanon 006 B'laan; Zambal 007 Balangao 008 Bantoanon 009 Bikol 010 Badjao, Sama Dil 011 Boholano 012 Bontok 013 Butuanon 014 Caviteno-Chavacano 015 Cebuano 016 Cotabateno-Chavacano 017 Davao-Chavacano 018 Gaddang 019 Hiligaynon, Ilon 020 Hantikanon 021 Ibaloi 022 Ibanag 023 Ifugao 024 Ikalahan 025 Ilanun 026 Ilocano 027 Ilongot 028 Isamal Kanlaw 029 Isinai 030 Itawis 031 Ivatan/Itbayat 032 I'wak 033 Jama Mapun 034 Kaagan 035 Kagayanen 036 Kalagan 037 Kalamianen 038 Kalinga 039 Kamayo 040 Kankanai 041 Kankaney 042 Kapampangan 043 Kasiguranin 044 Kamigin 045 Karaga 046 Kolibugan 047 Maguindanao 048 Malaueg 049 Mamanwa 050 Mandaya 051 Mangyan 052 Manobo 053 Maranao 054 Masbateno 055 Malbog 056 Negrito 057 Palawan 058 Pangasinan 059 Paranan 060 Rombloanon 061 Sama Dilaya 062 Sambal 063 Sangil/Sangir 064 Subanon 065 Subanun 066 Sulod 067 Tagbanwa 068 Tagalog 069 Tausog 070 T'boli 071 Ternateno-Chavacano 072 Tinggian 073 Tiruray 074 Ubo 075 Waray 076 Yakan 077 Yogad 078 Zamboangeno-Chavacano 079 Other local dialects 080 Chinese 081 English 082 Foreign language 1 083 Agta 084 Agutayaon 085 Ata 086 Ata-Manobo 087 Bagobo-Guianga 088 Batak 089 Bolinao 090 Bukidnon 091 Cuyonan 092 Davaweno 093 Dibabawon 094 Mansaka 095 Matigsalug 096 Pinalawan 097 Foreign language 2 100 Undocumented 101 Undocumented 102 Undocumented 103 Undocumented 105 Undocumented 106 Undocumented 999 Unknown This variable indicates the dialect/language spoken at home at earliest childhood. IPUMS Highest grade completed <svar v="PH95A410 PH95A411 PH95A412 PH95A413 PH95A414 PH95A415"><span class="h2">5 Years Old and Over</span><br /></svar></p> <p><svar a="all" v="PH95A410"><span class="em">P11. What is the highest grade completed by [respondent]?</span><br /> Enter code. (See codes sheet)<br /><br /><div class="i1">[] 00. No Grade Completed<br />[] 01. Pre-school<br />[] 11. Grade 1<br />[] 12. Grade 2<br />[] 13. Grade 3<br />[] 14. Grade 4<br />[] 15. Grade 5<br />[] 16. Grade 6<br />[] 17. Grade 7<br />[] 21. 1st Year High School<br />[] 22. 2nd Year High School<br />[] 23. 3rd Year High School<br />[] 24. 4th Year High School<br />[] 25. High School Graduate<br />[] 31. Postsecondary 1 year<br />[] 32. Postsecondary 2 years<br />[] 41. 1st Year College<br />[] 42. 2nd Year College<br />[] 43. 3rd Year College<br />[] 44. 4th Year College<br />[] 45. 5th Year College<br />[] 46. 6th Year College<br />[] 47. College Graduate<br />[] 51. Post-Baccalaureate</div><br /></svar> Philippines 1995: Persons age 5+ [discrepancies: none] 00 No Grade Completed 01 Pre-school 11 Grade 1 12 Grade 2 13 Grade 3 14 Grade 4 15 Grade 5 16 Grade 6 17 Grade 7 21 1st year high school 22 2nd year high school 23 3rd year high school 24 4th year high school 25 High school Graduate 31 Postsecondary 1 32 Postsecondary 2 41 1st year college 42 2nd year college 43 3rd year college 44 4th year college 45 5th year college 46 6th year college 47 College graduate 51 Post-baccalaureate 98 Unknown 99 NIU (not in universe) This variable indicates the highest grade completed by the person. IPUMS Trade skill <svar v="PH95A410 PH95A411 PH95A412 PH95A413 PH95A414 PH95A415"><span class="h2">5 Years Old and Over</span><br /></svar></p> <p><svar a="all" v="PH95A411"><span class="em">P12. What trade skills does [respondent] possess?</span><br />If none, enter "00" and skip to P14.<br />[41 categories are specified in the CP Form 2A Codes Sheet: see image]<br /></svar> Philippines 1995: Persons age 5+ [discrepancies: none] 00 No trade skill 01 Mining, shortfiring, stone cutting and carving 02 Building frame construction 03 Building construction finishing 04 Painting and related trade 05 Metal molding/welding 06 Blacksmithing/tool-making 07 Machinery mechanics 08 Electrical and electronic equipment mechanic 09 Precision works 10 Pottery/glass forming 11 Handicraft works 12 Printing/binding 13 Food processing 14 Wood treating 15 Textile/garment 16 Leather/shoemaking 17 Mining plant operation 18 Metal plant operation 19 Glass/ceramics operation 20 Wood processing plant 21 Chem processing plant 22 Power generating pant 23 Automated assembly line 24 Metal products processing machine 25 Chemical products machine operation 26 Rubber products machine operation 27 Wood products machine operation 28 Textile products machine operation 29 Food products processing machine operation 30 Assembling 31 Other machine operation 32 Locomotive engine 33 Motor vehicle operation 34 Agricultural and other mobile plant operation 35 Ship's deck crew 36 Physical science/engineering skills 37 Life science/health skills 38 Other associate professional skills 39 Clerical skills 40 Servicing skills 41 Agricultural and fishery skills 98 Not Stated 99 NIU (not in universe) This variable indicates the trade skill the person possesses. IPUMS How was trade skill acquired <svar v="PH95A410 PH95A411 PH95A412 PH95A413 PH95A414 PH95A415"><span class="h2">5 Years Old and Over</span><br /></svar></p> <p><svar a="all" v="PH95A412"><span class="em">P13. How was the trade skill acquired?</span><br />Encircle code.<br /><br /><div class="i1">[] 1.Schooling/Training<br />[] 2.Experience/Apprenticeship<br />[] 3.Other</div><br /></svar> Philippines 1995: Persons age 5+ who have trade skills [discrepancies: none] 1 Study/training 2 Experience 3 Others 8 Unknown 9 NIU (not in universe) This variable indicates how the trade skill was acquired. IPUMS Engaged in economic activity <svar v="PH95A410 PH95A411 PH95A412 PH95A413 PH95A414 PH95A415"><span class="h2">5 Years Old and Over</span><br /></svar></p> <p><svar a="all" v="PH95A413"><span class="em">P14. Is/Was [respondent] engaged in any economic activity currently/at any time in the past twelve months?</span><br />Encircle code.<br /><br /><div class="i1">[] 1. Yes<br />[] 2. No. Go to the next household member.</div><br /></svar> Philippines 1995: Persons age 5+ [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person was ever engaged in economic activity during the past twelve months. IPUMS Class of worker <svar v="PH95A410 PH95A411 PH95A412 PH95A413 PH95A414 PH95A415"><span class="h2">5 Years Old and Over</span><br /></svar></p> <p><svar a="all" v="PH95A414"><span class="em">P15. For whom or where does/did [respondent] work?</span><br /> Enter code. (See codes sheet)<br /><br /><div class="i1">[] 1. Worked for private household<br />[] 2. Worked for private business/enterprise/farm<br />[] 3. Worked for government/government corporation<br />[] 4. Self-employed without employee<br />[] 5. Employer in own farm or business<br />[] 6. Worked with pay on own family-operated farm or business<br />[] 7. Worked without pay on own family operated farm or business</div><br /></svar> Philippines 1995: Persons age 5+ who are engaged in economic activity [discrepancies: none] 1 Worked for private household 2 Worked for private business, enterprise, or farm 3 Worked for government or a government corporation 4 Self-employed without employees 5 Employer in own farm or business 6 Worked with pay on own family-operated farm or business 7 Worked without pay on own family operated farm or business 8 Unknown 9 NIU (not in universe) This variable indicates for whom or where the person worked. IPUMS Industry <svar v="PH95A410 PH95A411 PH95A412 PH95A413 PH95A414 PH95A415"><span class="h2">5 Years Old and Over</span><br /></svar></p> <p><svar a="all" v="PH95A415"><span class="em">P16. In what kind of business or industry is/was [respondent]'s current/last employer engaged in?</span><br />[37 categories are specified in the CP Form 2A Codes Sheet: see image]<br /></svar> Philippines 1995: Persons age 5+ who are engaged in economic activity [discrepancies: none] 01 Palay farming 02 Corn farming 03 Coconut farming 04 Banana farming 05 Sugarcane farming 06 Farming of animals 07 Other agricultural crops and services 08 Hunting/forestry 09 Fishing 10 Metallic ore 11 Non-metallic 12 Food/beverage 13 Tobacco 14 Textiles/wearing 15 Paper/publishing/printing 16 Petroleum/chemicals/rubbers and plastic 17 Non-metallic mineral products 18 Basic metal/fabricated metal products 19 Wood/cork/cane 20 Furniture 21 Machinery 22 Transport equipment 23 Other 24 Electricity/gas/water supply 25 Construction 26 Wholesale and retail trade 27 Repair of motor vehicles 28 Restaurants and hotels 29 Transport services 30 Post and communication 31 Financial intermediaries 32 Real estate/rent 33 Other business 34 Government services 35 Private education/health and social work 36 Other community 37 Domestic 98 Unknown 99 NIU (not in universe) This variable indicates the specific industry in which a self-employed person is currently/last engaged in or in which the person's employer is engaged in. IPUMS Birth registered with Local Civil Register Philippines 1995: All persons 1 Yes 2 No 9 Unknown This variable indicates whether the birth was registered with LCR (Local Civil Registrar). IPUMS Institution type <svar a="all" v="PH95A417"><br />__ __ __ Institutional Living Quarter (ILQ) SN<br />____ Type of ILQ (See Codes)<br /><br /><div class="i1">[] 1. Hotels, lodging houses, dormitories, etc.<br />[] 2. Hospitals and nurses' home<br />[] 3. Welfare institutions<br />[] 4. Corrective and penal institutions<br />[] 5. Convents, nunneries, seminaries and boarding schools<br />[] 6. Military camps and stations<br />[] 7. Logging, mining and construction/ public works camp<br />[] 8. Ocean-going and inter island/coastal vessels<br />[] 9. Refugee camps<br />[] 0. Others</div><br /><br />___ Name of ILQ<br />___ Address<br />House Number and Street Name or Name of Sitio<br /></svar> Philippines 1995: Persons in collective dwellings [discrepenceis: none] 01 Hotels 02 Hospitals 03 Welfare institutions 04 Corrective institutions 05 Convents 06 Military camps 07 Logging, mining 08 Ocean-going 09 Refugee camps 10 Others 98 Unknown 99 NIU (not in universe) This variable indicates the collective household type the person lives in. IPUMS Status in institution <svar a="all" v="PH95A418"><span class="em">P2. What is [respondent]'s position or status?</span><br /><br />Enter Code. (See Codes Sheet)<br /><div class="i1">[] 1. Manager, director, in-charge<br />[] 2. Staff member/employee, including physicians and nurses<br />[] 3. Officer, enlisted man, trainee<br />[] 4. Officer or crew member in merchant vessel<br />[] 5. Priest, seminarian, nun<br />[] 6. Lodger or boarder<br />[] 7. Patient (Hospital, sanitarium, etc.)<br />[] 8. Inmate, ward (Home for the aged, orphanage, etc.)<br />[] 9. Prisoner/detainee<br />[] 0. Others, specify ____</div><br /></svar> Philippines 1995: Persons in collective dwellings [discrepenceis: none] 01 Manager 02 Staff member 03 Office/enlisted 04 Officer/crew 05 Priest, nun 06 Lodger/boarder 07 Patient 08 Inmate, ward 09 Prisoner 10 Others 98 Unknown 99 NIU (not in universe) This variable indicates the status of the resident of the collective household. For example, the person could be a manager, boarder, prisoner, etc. IPUMS