National Censuses: IX Population and IV Housing, Peru 1993 DDI_PER_1993_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. National Censuses: IX Population and IV Housing, Peru 1993 - IPUMS Subset PHC pe1993a (IPUMS Harmonized Subset) PER_1993_PHC_v01_M_v7.6_A_IPUMS National Institute of Statistics and Computing IPUMS (c) Copyright 1993, National Institute of Statistics and Computing and Minnesota Population Center National Institute of Statistics and Computing Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Ethnicity and Language Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Constructed Family Interrelationship Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Work: Industry Variables -- PERSON Disability Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Nativity and Birthplace Variables -- PERSON Work: Occupation Variables -- PERSON Migration: Global Variables -- PERSON July 11, 1993 Urban area: July 11, 1993; Rural area: July 12-26, 1993 Peru Province Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Any structurally separate and independent premises, made up of a room or group of rooms, meant for lodging one or more census households. These also include premises which, even though they are not meant for lodging people, are occupied as a place of residence by a census household at the time of conducting the Census. - Households: The group of people, related or not, who occupy part of or a whole dwelling, share their main meals and together take care of other fundamental basic needs. As an exception, a household can be made up of a single person. - Group quarters: A premises or group of premises meant for human habitation by people who usually don't have family ties and who generally live together for reasons of health, teaching, religion, work, tourism, or other causes. All persons residing in the country. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Peru 1993 MICRODATA SOURCE: National Institute of Statistics and Computing SAMPLE SIZE (person records): 2206424. SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the IPUMS Face-to-face [f2f] A single form with three sections for the dwelling, household, and individuals. de facto, CENSUS DAY: July 11, 1993 Self-weighting (expansion factor = 10). IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. National Institute of Statistics and Computing Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Peru, National Institute of Statistics and Computing. National Censuses: IX Population and IV Housing, Peru 1993 The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for pe1993a, 2025 PER1993_PHC-H-H.dat Household records 564,765 ascii Minnesota Population Center Version 7.5, IPUMS sample PER1993_PHC-P-H.dat Person records 2206424 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Peru, Department 1993 - 2017 [Level 1; consistent boundaries, GIS] GEO1_PE identifies the household's department within Peru in all sample years. Departments are the first level administrative units of the country. GEO1_PE is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_PE can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Peru 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. 604001 Amazonas 604002 Áncash 604003 Apurímac 604004 Arequipa 604005 Ayacucho 604006 Cajamarca 604007 Callao 604008 Cusco 604009 Huancavelica 604010 Huánuco 604011 Ica 604012 Junín 604013 La Libertad 604014 Lambayeque 604015 Lima 604016 Loreto 604017 Madre de Dios 604018 Moquegua 604019 Pasco 604020 Piura 604021 Puno 604022 San Martín 604023 Tacna 604024 Tumbes 604025 Ucayali Geography: O-Z Variables -- HOUSEHOLD Peru, Department 1993 [Level 1, GIS] GEO1_PE1993 identifies the household's department within Peru in 1993. Departments are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_PE1993 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Peru can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001 Amazonas 002 Ancash 003 Apurímac 004 Arequipa 005 Ayacucho 006 Cajamarca 007 Callao 008 Cusco 009 Huancavelica 010 Huánuco 011 Ica 012 Junín 013 La Libertad 014 Lambayeque 015 Lima 016 Loreto 017 Madre De Dios 018 Moquegua 019 Pasco 020 Piura 021 Puno 022 San Martín 023 Tacna 024 Tumbes 025 Ucayali Geography: O-Z Variables -- HOUSEHOLD Peru, Province 1993 - 2017 [Level 2; consistent boundaries, GIS] GEO2_PE identifies the household's province within Peru in all sample years. Provinces are the second level administrative units of the country, after departments. GEO2_PE is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_PE can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Peru 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. 604001001 Chachapoyas 604001002 Bagua 604001003 Bongará 604001004 Condorcanqui 604001005 Luya 604001006 Rodríguez De Mendoza 604001007 Utcubamba 604002001 Huaraz 604002005 Bolognesi, Ocros 604002006 Carhuaz 604002007 Carlos Fermín Fitzcarrald, Antonio Raymondi, Asunción 604002008 Casma 604002010 Huari 604002011 Huarmey 604002012 Huaylas 604002015 Pallasca, Corongo 604002016 Pomabamba, Mariscal Luzuriaga 604002017 Recuay, Aija 604002018 Santa 604002019 Sihuas 604002020 Yungay 604003001 Abancay 604003002 Andahuaylas 604003004 Aymaraes, Antabamba 604003005 Cotabambas 604003006 Chincheros 604003007 Grau 604004001 Arequipa 604004002 Camaná 604004003 Caravelí 604004004 Castilla 604004005 Caylloma 604004006 Condusuyos, La Unión 604004007 Islay 604005001 Huamanga 604005002 Cangallo, Víctor Fajardo 604005004 Huanta 604005005 La Mar 604005006 Lucanas, Huanca Sancos 604005007 Parinacochas, Páucar del Sara Sara 604005011 Vilcas Huamán, Sucre 604006001 Cajamarca 604006002 Cajabamba 604006003 Celendín 604006004 Chota 604006005 Contumazá 604006006 Cutervo 604006007 Hualgayoc 604006008 Jaén 604006009 San Ignacio 604006010 San Marcos 604006011 San Miguel, San Pablo 604006013 Santa Cruz 604007001 Callao 604008001 Cusco 604008002 Acomayo 604008003 Anta 604008004 Calca 604008005 Canas 604008006 Canchis 604008007 Chumbivilcas 604008008 Espinar 604008009 La Convención 604008010 Paruro 604008011 Paucartambo 604008012 Quispicanchi 604008013 Urubamba 604009001 Huancavelica 604009002 Acobamba 604009003 Angaraes 604009005 Churcampa 604009006 Huaytará, Castrovirreyna 604009007 Tayacaja 604010001 Huánuco 604010002 Ambo 604010003 Dos de Mayo, Lauricocha, Yarowilca 604010005 Huamalíes 604010006 Leoncio Prado 604010007 Marañón, Huacaybamba 604010008 Pachitea 604010009 Puerto Inca 604011001 Ica 604011002 Chincha 604011003 Nasca, Palpa 604011005 Pisco 604012001 Huancayo, Chupaca 604012002 Concepción 604012003 Chanchamayo 604012004 Jauja 604012005 Junín 604012006 Satipo 604012007 Tarma 604012008 Yauli 604013001 Trujillo, Virú 604013002 Ascope 604013004 Chepén 604013005 Julcán 604013006 Otuzco, Gran Chimú 604013007 Pacasmayo 604013008 Pataz, Bolívar 604013009 Sánchez Carrión 604013010 Santiago de Chuco 604014001 Chiclayo 604014002 Ferreñafe 604014003 Lambayeque 604015001 Lima 604015002 Barranca 604015005 Cañete 604015006 Huaral 604015007 Huarochirí, Canta 604015008 Huaura 604015009 Oyón, Cajatambo 604015010 Yauyos 604016001 Maynas, Putumayo 604016002 Alto Amazonas, Datem del Marañón 604016003 Loreto 604016004 Mariscal Ramón Castilla 604016005 Requena 604016006 Ucayali 604017001 Tahuamanu, Manu, Tambopata 604018001 Mariscal Nieto, General Sánchez Cerro 604018003 Ilo 604019001 Pasco 604019002 Daniel Alcides Carrión 604019003 Oxapampa 604020001 Piura, Sechura 604020002 Ayabaca 604020003 Huancabamba 604020004 Morropón 604020005 Paita 604020006 Sullana 604020007 Talara 604021001 Puno 604021002 Azángaro 604021003 Carabaya 604021004 Chucuito 604021005 El Collao 604021006 Huancané, Moho 604021007 Lampa 604021008 Melgar 604021010 San Antonio de Putina 604021011 San Román 604021012 Sandia 604021013 Yunguyo 604022001 Moyobamba 604022002 Bellavista 604022003 El Dorado 604022004 Huallaga 604022005 Lamas 604022006 Mariscal Cácares 604022007 Picota 604022008 Rioja 604022009 San Martín 604022010 Tocache 604023001 Tacna 604023003 Jorge Basadre, Candarave, Tarata 604024001 Tumbes, Contralmirante Villar 604024003 Zarumilla 604025001 Coronel Portillo 604025002 Atalaya, Purús 604025003 Padre Abad Geography: O-Z Variables -- HOUSEHOLD Peru, Province 1993 [Level 2, GIS] GEO2_PE1993 identifies the household's province within Peru in 1993. Provinces are the second level administrative units of the country, after departments. A GIS map (in shapefile format), corresponding to GEO2_PE1993 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Peru can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001001 Chachapoyas 001002 Bagua 001003 Bongará 001004 Condorcanqui 001005 Luya 001006 Rodríguez de Mendoza 001007 Utcubamba 002001 Huaraz 002003 Antonio Raymondi 002005 Bolognesi, Ocros 002006 Carhuaz 002007 Carlos Fermín Fitzcarrald, Asunción 002008 Casma 002010 Huari 002011 Huarmey 002012 Huaylas 002013 Mariscal Luzuriaga 002015 Pallasca, Corongo 002016 Pomabamba 002017 Recuay, Aija 002018 Santa 002019 Sihuas 002020 Yungay 003001 Abancay 003002 Andahuaylas 003004 Aymaraes, Antabamba 003005 Cotabambas 003006 Chincheros 003007 Grau 004001 Arequipa 004002 Camaná 004003 Caravelí 004004 Castilla 004005 Caylloma 004006 Condusuyos 004007 Islay 004008 La Unión 005001 Huamanga 005002 Cangallo, Víctor Fajardo 005004 Huanta 005005 La Mar 005006 Lucanas, Huanca Sancos 005007 Parinacochas, Páucar del Sara Sara 005011 Vilcas Huamán, Sucre 006001 Cajamarca 006002 Cajabamba 006003 Celendín 006004 Chota 006005 Contumazá 006006 Cutervo 006007 Hualgayoc 006008 Jaén 006009 San Ignacio 006010 San Marcos 006011 San Miguel 006012 San Pablo 006013 Santa Cruz 007001 Callao 008001 Cusco 008002 Acomayo 008003 Anta 008004 Calca 008005 Canas 008006 Canchis 008007 Chumbivilcas 008008 Espinar 008009 La Convención 008010 Paruro 008011 Paucartambo 008012 Quispicanchi 008013 Urubamba 009001 Huancavelica 009002 Acobamba 009003 Angaraes 009004 Castrovirreyna 009005 Churcampa 009006 Huaytará 009007 Tayacaja 010001 Huánuco 010002 Ambo 010003 Dos de Mayo 010004 Huacaybamba 010005 Huamalíes 010006 Leoncio Prado 010007 Marañón 010008 Pachitea 010009 Puerto Inca 011001 Ica 011002 Chincha 011003 Nasca, Palpa 011005 Pisco 012001 Huancayo 012002 Concepción 012003 Chanchamayo 012004 Jauja 012005 Junín 012006 Satipo 012007 Tarma 012008 Yauli 013001 Trujillo 013002 Ascope 013003 Bolívar 013004 Chepén 013005 Julcán 013006 Otuzco 013007 Pacasmayo 013008 Pataz 013009 Sánchez Carrión 013010 Santiago de Chuco 014001 Chiclayo 014002 Ferreñafe 014003 Lambayeque 015001 Lima 015002 Barranca 015005 Cañete 015006 Huaral 015007 Huarochirí, Canta 015008 Huaura 015009 Oyón, Cajatambo 015010 Yauyos 016001 Maynas 016002 Alto Amazonas 016003 Loreto 016004 Mariscal Ramón Castilla 016005 Requena 016006 Ucayali 017001 Tambopata, Manu, Tahuamanu 018001 Mariscal Nieto 018002 General Sánchez Cerro 018003 Ilo 019001 Pasco 019002 Daniel Alcides Carrión 019003 Oxapampa 020001 Piura 020002 Ayabaca 020003 Huancabamba 020004 Morropón 020005 Paita 020006 Sullana 020007 Talara 021001 Puno 021002 Azángaro 021003 Carabaya 021004 Chucuito 021005 El Collao 021006 Huancané 021007 Lampa 021008 Melgar 021009 Moho 021010 San Antonio de Putina 021011 San Román 021012 Sandia 021013 Yunguyo 022001 Moyobamba 022002 Bellavista 022003 El Dorado 022004 Huallaga 022005 Lamas 022006 Mariscal Cácares 022007 Picota 022008 Rioja 022009 San Martín 022010 Tocache 023001 Tacna 023003 Jorge Basadre, Candarave, Tarata 024001 Tumbes, Contralmirante Villar 024003 Zarumilla 025001 Coronel Portillo 025002 Atalaya, Purús 025003 Padre Abad Geography: O-Z Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Computer COMPUTER indicates whether the household had a personal computer. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Clothes washing machine WASHER indicates whether the household had a clothes washing machine. 0 NIU (not in universe) 1 No 2 Yes 3 Automatic or semi-automatic 4 Wringer or other non-automatic 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Videocassette recorder VCR indicates whether the household had a videocassette recorder or similar device. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material FLOOR indicates the dwelling's predominant flooring material. 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Roof material This variable indicates the dwelling's predominant roofing material. 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Peru 1993: All households This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Household number (within dwelling) Peru 1993: All households This variable indicates the household number (within the dwelling). 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Number of households in dwelling Peru 1993: All households This variable indicates the number of households in the dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 Technical Household Variables -- HOUSEHOLD Number of persons in dwelling Peru 1993: All households This variable indicates the number of persons in the dwelling. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Number of persons in household Peru 1993: All households This variable indicates the number of persons in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Peru 1993: All households This variable indicates if the dwelling was created by splitting apart a larger dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Donated dwelling Peru 1993: All households This variable indicates whether this is a donated dwelling. 0 No problem 1 Donated Technical Household Variables -- HOUSEHOLD Donation strata: strata number Peru 1993: All households This variable indicates the stratum number of the donation strata. 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 Technical Household Variables -- HOUSEHOLD Urban-rural <svar v="PE93A037" a="all">2. Urban area<br /><div class="i1">Is the dwelling included in the list of dwellings?</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /><br /><div class="i1">____ Dwelling address: (street, avenue, route, etc.)</div><br /><div class="i2">____ Door number<br />____ Floor number<br />____ Interior</div><br /><div class="i1">____ Zone number<br />____ Section number<br />____ Urban Census Area [<span class="lang">A.E.U.</span>] number<br />____ Block number<br />____ Dwelling number<br />____ Household number</div><br /><br />3. Rural area<br /><div class="i1">____ Section number<br />____ Rural Census Area [<span class="lang">A.E.R.</span>] number<br />____ Dwelling number<br />____ Household number</div><br /></svar> Peru 1993: All households This variable indicates whether the area is urban or rural. 1 Urban 2 Rural Geography: O-Z Variables -- HOUSEHOLD Water supply <svar v="PE93A038" a="all">5. The water supplied in the dwelling comes from:<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Public network, inside the dwelling<br />[] 2 Public network, outside the dwelling but within the building<br />[] 3 Public tap<br />[] 4 Well<br />[] 5 Water tanker or similar<br />[] 6 River, irrigation ditch, spring or similar<br />[] 7 Other (specify) ____</div><br /></svar> <svar v="PE93A038" a="all"><span class="h3">Question No. 5: The water supplied in the dwelling comes from:</span><br />Read the question and each of the alternatives. Wait for an answer. Circle the number that corresponds to the response.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />Take into account the following definitions:<br /><div class="i1"><span class="ital">Public water system</span>: Is a system of pipes located in the subsoil of a public thoroughfare, through which potable water is provided to dwellings.<br />This service (the faucet) can be located:</div><br /><ul class="b2"> <li><span class="ital">Inside the dwelling</span>: When the water connection is inside the dwelling.</li> <li><span class="ital">Outside the dwelling but inside the building</span>: When the water connection is located on the patio, in the passageway, etc. of an alley, shantytown [<span class="lang">corralones</span>], etc.</li> </ul><br /><div class="i1"><span class="ital">Public use fountain</span>: When the dwelling is supplied with water that comes from a faucet or fountain located in the street or another public place.<br /><span class="ital">Well</span>: When the dwelling is supplied with water from the subsoil, which comes from a well, that can be located inside or outside of the dwelling, regardless of how it is collected and distributed in the dwelling.<br /><span class="ital">Water truck or similar</span>: When the dwelling is supplied with water from a water truck, wagon, water carrier, etc., regardless of where the water comes from.<br /><span class="ital">River, irrigation ditch, spring, or similar</span>: When the dwelling is supplied with water that comes from a river, irrigation ditch, spring [<span class="lang">manantial, puquio</span>], lake, etc., regardless of how the water is collected and distributed in the dwelling.<br />[There are drawings that represent each of the options for water supply listed above.]<br /><span class="ital">Other</span>: When the water is supplied by a means other than those previously mentioned. Example: rainwater, melted snow, etc.</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: none] This variable indicates the type of water supply of the dwelling. 1 Public network, inside the dwelling 2 Public network, outside the dwelling but within the building 3 Public tap 4 Well 5 Water tanker or similar 6 River, irrigation ditch, spring or similar 7 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Electric lighting <svar v="PE93A039" a="all">7. Is there electric lighting?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="PE93A039" a="all"><span class="h3">Question No. 7: Do you have electric lighting?</span><br />Read the question. Wait for an answer. Circle the number that corresponds to the response.<br />[There is a picture of question 7 in this section of the Enumeration Form.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: none] This variable indicates if the dwelling has electric lighting. 1 Yes, has 2 Doesn't have 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Occupancy <svar v="PE93A040" a="all">2. Occupancy of the dwelling<br /><div class="i1">Circle the appropriate number:</div><br /><br /><div class="i1">A) Occupied</div><br /><div class="i2">[] 1 With people present<br />[] 2 With people absent<br />[] 3 Occasional use</div><br /><div class="i1">B) Unoccupied, due to being:</div><br /><div class="i2">[] 4 For rent or sale<br />[] 5 Under repair<br />[] 6 Other reason (specify) ____</div><br /><br /><div class="i1">In the case of responses 2 through 6, end the interview here.</div><br /></svar> <svar v="PE93A040" a="all"><span class="h3">Question No. 2: Occupancy condition of the dwelling</span><br />[There is a picture of question 2 in this section of the Enumeration Form.]<br />Determine if the dwelling is occupied or unoccupied and circle the corresponding number, taking into account the following definitions:<br /><span class="em">A) Occupied:</span><br /><div class="i1"><span class="ital">With people present</span>: This is a dwelling that, on the day of the Census, is occupied and the people who live there are present.<br /><span class="ital">With people absent</span>: This is a permanently occupied dwelling, but where, on the day of the Census, the people who live there are not present. This condition should be confirmed by neighbors.<br />If the neighbors tell you that the occupants are momentarily absent, don't circle number 2. Keep that form and continue with the enumeration of the next household. Upon finishing the work in your Enumeration Area, return to the dwelling you left pending. If the people are still absent, just circle number 2 (with people absent) and consider your task completed.<br />[There is a drawing of a person knocking on the door of a residence with no one home.]<br /><span class="ital">Occasional use</span>: This is a dwelling that isn't being used on the day of the Census because it is used for summer vacation, relaxation, seasonal work, etc. This condition should be confirmed by the neighbors.<br />[There is a drawing of a summer house.]</div><br /><span class="em">B) Unoccupied</span><br />This is a dwelling that isn't occupied by anyone on the day of the Census, due to being:<br /><div class="i1">a) For rent or sale<br />b) Under repair<br />c) Other reason (closed down, legally inhabitable)</div><br />[There is a drawing of a building for rent and a building under construction.]<br /><span class="pg">[p. 28]</span><br /><span class="em">Enumerator:</span><br />From this moment on the information should be provided by the head or person responsible for the household.<br /></svar> Peru 1993: Private dwellings [discrepancies: none] This variable indicates the occupancy status of the dwelling. 1 Occupied with people present 2 Occupied with people absent 3 Occupied - occasional use 4 Unoccupied - for rent or sale 5 Unoccupied - under repair 6 Unoccupied - other reason 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Number of rooms <svar v="PE93A041" a="all">8. Not counting the bathroom, kitchen, or hallways, how many total rooms are there in the dwelling?<br /><div class="i1">Write the answer in the box: ____</div><br /></svar> <svar v="PE93A041" a="all"><span class="h3">Question No. 8: Without counting the bathroom, kitchen or passageway, how many rooms are there in the dwelling in total?</span><br />Read the question. Wait for an answer. Record the response using digits in the corresponding box.<br />[There is a picture of question 8 in this section of the Enumeration Form.]<br />Take into account the following definition:<br /><span class="em">Room</span>: Is a space located in a dwelling, enclosed by walls that go from the floor to the ceiling and that provide, at least, enough surface area to fit an adult-sized bed.<br />Therefore, bedrooms, dining rooms, living rooms, living-dining rooms, studies, servants' quarters, rooms used for professional or commercial purposes, etc. are rooms, as long as they conform to the aforementioned criteria.<br />The attic, if it conforms to this definition and is at least two meters tall, is considered a room.<br />If the dwelling has only one room that is used as a kitchen, dining room and bedroom at the same time, write the number 1 in the box.<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: none] This variable indicates the number of rooms in the dwelling. 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 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Predominant material in the walls <svar v="PE93A042 PE93A043 PE93A045">4. Construction material of the dwelling<br /><div class="i1">Circle the appropriate number:</div><br /></svar></p> <p><svar v="PE93A042" a="all"><div class="i1">A) The predominant material in the exterior walls is:</div><br /><div class="i2">[] 1 Brick or cement block<br />[] 2 Limed or cemented stone or ashlar, [<span class="lang">piedra o sillar con cal o cemento</span>]<br />[] 3 Adobe or mud wall (<span class="lang">tapia</span>)<br />[] 4 Cane sticks with clay (<span class="lang">quincha o caña con barro</span>)<br />[] 5 Stone with clay<br />[] 6 Wood<br />[] 7 Woven straw or reeds (<span class="lang">estera</span>)<br />[] 8 Other material (specify) ____</div><br /></svar> <svar v="PE93A042 PE93A043 PE93A045"><span class="h3">Question No. 4: Construction material of the dwelling</span><br /></svar></p> <p><svar v="PE93A042" a="all"><span class="em">A) The predominant material in the exterior walls is:</span><br />Read the question and each of the alternatives. Wait for an answer. Circle the number that corresponds to the response.<br />If it is a material that is not listed, circle the number that corresponds to "Other material" and specify the name of it.<br />[These instructions are accompanied by a drawing of a wall made of adobe and stones and a picture of part A of this question on the Enumeration Form. Adobe is the predominant material in the drawing, and the corresponding option is circled on Enumeration Form.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: none] This variable indicates the predominant material of the walls in the dwelling. 1 Brick or cement block 2 Limed or cemented stone or ashlar 3 Adobe or mud wall 4 Cane sticks with clay (quincha o caña con barro) 5 Stone with clay 6 Wood 7 Woven straw or reeds (estera) 8 Other material 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Predominant material in the floor <svar v="PE93A042 PE93A043 PE93A045">4. Construction material of the dwelling<br /><div class="i1">Circle the appropriate number:</div><br /></svar></p> <p><svar v="PE93A043" a="all"><div class="i1">C) The predominant material in the floor is:</div><br /><div class="i2">[] 1 Parquet or polished wood<br />[] 2 Asphalt membrane, vinyl or similar<br />[] 3 Paving stone [<span class="lang">losetas</span>], terrazzo, ceramic tile, or similar<br />[] 4 Wood (planks)<br />[] 5 Cement<br />[] 6 Earth<br />[] 7 Other material (specify) ____</div><br /></svar> <svar v="PE93A042 PE93A043 PE93A045"><span class="h3">Question No. 4: Construction material of the dwelling</span><br /></svar></p> <p><svar v="PE93A043" a="all"><span class="em">C) The predominant material in the floors is:</span><br />Read the question and each of the alternatives. Wait for an answer. Circle the number that corresponds to the response.<br />If it is a material that is not listed, circle the number that corresponds to "Other material" and specify the name of it.<br />[The instructions are accompanied by a drawing of a dwelling with floors made of cement and floor tiles and a picture of part C of this question on the Enumeration Form.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: none] This variable indicates the predominant material of the floor in the dwelling. 1 Parquet or polished wood 2 Asphalt sheet, vinyl or similar 3 Paving stone (losetas), terrazzo, ceramic tile, or similar 4 Wood (planks) 5 Cement 6 Earth 7 Other 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet facilities/sewerage connection <svar v="PE93A044" a="all">6. The dwelling has toilet facilities (Water, toilet, latrine, etc.), connected to:<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Public system, inside the dwelling<br />[] 2 Public system, outside the dwelling but inside the building<br />[] 3 Cesspit, latrine<br />[] 4 An irrigation ditch or canal<br />[] 5 Doesn't have toilet facilities</div><br /></svar> <svar v="PE93A044" a="all"><span class="h3">Question No. 6: The dwelling has toilet facilities connected to:</span><br />Read the question and each of the alternatives. Wait for an answer. Circle the number that corresponds to the response.<br />[There is a picture of question 6 in this section of the Enumeration Form.]<br />Take into account the following definitions:<br /><div class="i1"><span class="ital">To a public system</span>: Is a system of pipes located in the subsoil of a public thoroughfare, through which dwellings get rid of human waste.<br />Depending on the location of the toilet facilities (toilet, lavatory, latrine, etc.), it can be:</div><br /><ul class="b2"> <li><span class="ital">Inside the dwelling</span>: When the toilet facilities are inside the dwelling.</li> <li><span class="ital">Outside the dwelling but inside the building</span>: When the toilet facilities are within the perimeter of the building, as in the case of shantytowns [<span class="lang">corralones</span>] and tenement houses.</li> </ul><br /><div class="i1"><span class="ital"> Septic tank or pit</span>: When the human waste is sent directly to a well, which receives no treatment whatsoever.<br /><span class="ital">To an irrigation ditch or canal</span>: When the human waste is eliminated directly through an irrigation ditch, river, channel, etc.<br />[Each of the above responses to this question is represented by a drawing.]<br /><span class="ital">Doesn't have toilet facilities</span>: When the dwelling doesn't have any toilet facilities.</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: none] This variable indicates the type of toilet facilities/sewerage connection in the dwelling. 1 Public system, inside the dwelling 2 Public system, outside the dwelling but inside the building 3 Cesspit, latrine 4 An irrigation ditch or canal 5 Doesn't have 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Predominant material in the roof <svar v="PE93A042 PE93A043 PE93A045">4. Construction material of the dwelling<br /><div class="i1">Circle the appropriate number:</div><br /></svar></p> <p><svar v="PE93A045" a="all"><div class="i1">B) The predominant material in the roof is:</div><br /><div class="i2">[] 1 Reinforced concrete<br />[] 2 Wood<br />[] 3 Tile<br />[] 4 <span class="lang">Calamina</span> [type of roof tile], fibrocement or other sheet material<br />[] 5 Cane sticks or woven plant material with clay<br />[] 6 Straw, palm leaves, etc.<br />[] 7 Other material (specify) ____</div><br /></svar> <svar v="PE93A042 PE93A043 PE93A045"><span class="h3">Question No. 4: Construction material of the dwelling</span><br /></svar></p> <p><svar v="PE93A045" a="all"><span class="em">B) The predominant material in the roof is:</span><br />Read the question and each of the alternatives. Wait for an answer. Circle the number that corresponds to the response.<br />If it is a material that is not listed, circle the number that corresponds to "Other material" and specify the name of it.<br />Keep in mind that some dwellings have a concrete roof, but then also have a covering or adornment of corrugated iron, roofing tiles, etc. In this case, circle number 1.<br />[These instructions are accompanied by a drawing of a roof made of concrete covered by roofing tiles and a picture of part B of this question on the Enumeration Form. The option corresponding to concrete is circled.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: none] This variable indicates the predominant material of the roof in the dwelling. 1 Reinforced concrete 2 Wood 3 Tile 4 Calamina (sheet metal), fibrocement or other sheet material 5 Cane sticks or woven plant material with clay 6 Straw, palm leaves, etc 7 Other material 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Ownership <svar v="PE93A046" a="all">3. The dwelling you occupy is:<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Rented<br />[] 2 Owned, bought in installments<br />[] 3 Owned, completely paid for<br />[] 4 Used with the authorization of the owner, without payment<br />[] 5 De facto occupied (squatted)<br />[] 6 Other form (specify) ____</div><br /></svar> <svar v="PE93A046" a="all"><span class="h3">Question No. 3: The dwelling that you live in is:</span><br />Read the question and each of the alternatives. Wait for a response. Circle the number that corresponds to the response.<br />[There is a picture of question 3 in this section of the Enumeration Form.]<br />Take into account the following definitions:<br /><div class="i1"><span class="ital">Rented</span>: When the dwelling is occupied by a tenant, in exchange for the payment of a periodic fixed quantity, generally monthly.<br /><span class="ital">Owned, being paid in installments</span>: When the right of ownership is being acquired by one of the members of the household, through buying on credit, over a medium or long term, or mortgage debt.<br /><span class="ital">Owned, completely paid for</span>: Is a dwelling whose property rights have been acquired by one of the members of the household through purchase, inheritance, or other means. If it has been purchased, it should be completely paid on the day of the Census.<br /><span class="ital">Used with the authorization of the owner, without payment</span>: When the dwelling is being occupied with the consent of the owner and without any payment being made (free).<br /><span class="ital">De facto occupied</span>: When the dwelling has been constructed on land not one's own and the person doesn't have a recognized ownership right over the dwelling or the land.<br />[There are drawings representing the above five ownership conditions.]<br /><span class="ital">Other form</span>: This includes any other way of occupying a dwelling not included in the previous categories. It includes antichresis (a person, borrowing money of another, hands over his property to the creditor, allowing the use and occupation thereof for the interest on the money lent).</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: none] This variable indicates the ownership status of the dwelling. 1 Rented 2 Owned, buying in installments 3 Owned, completely paid for 4 Used with the authorization of the owner, without payment 5 De facto occupied (squatted) 6 Other form 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Dwelling type <svar v="PE93A047" a="all">1. Dwelling type:<br /><div class="i1">Circle the appropriate number:<br /><br />A) Private dwelling</div><br /><div class="i2">[] 2 Independent house<br />[] 3 Apartment in a building<br />[] 4 Dwelling in a <span class="lang">quinta</span> (dwelling that is part of a group of one- or two-story dwellings located along an open-air patio)<br />[] 5 Dwelling in a tenement [<span class="lang">Vivienda en casa de vecindad (callejón, solar o corralón)</span>]<br />[] 6 Shack or cabin<br />[] 7 Improvised dwelling<br />[] 8 Place not intended for human habitation<br />[] 9 Other type (specify) ____</div><br /><div class="i1">B) Collective dwelling</div><br /><div class="i2">[] 11 Hotel, hostel, inn<br />[] 12 Hospital, clinic<br />[] 13 Boarding house<br />[] 14 Prison, reformatory<br />[] 15 Retirement home or hospice<br />[] 16 Other type (specify) ____</div><br /><br /><div class="i1">For collective dwellings, skip to the fifth section</div><br /></svar> <svar v="PE93A047" a="all"><span class="h3">Question No. 1: Type of Dwelling</span><br />Enumerator: Determine the type of dwelling, observing the private dwelling and taking into account the definitions. Circle the corresponding number.<br /><span class="em">Dwelling</span>: For the purposes of the Census, it is any structurally separate and independent premise, made up of a room or group of rooms, meant for lodging one or more census households.<br />Also considered dwellings are those premises that, even though they are not meant for lodging people, are occupied as a place of residence by a census household at the time of conducting the Census.<br />"Separate" means that the dwelling is surrounded by walls, partitions, etc., and covered by a roof that allows one or more people to isolate themselves from others who form part of the community.<br />"Independent" means that the dwelling has direct access from the street by way of stairs, a hallway, corridor, etc., or by way of a road (in the case of rural dwellings). This means that the occupants can enter and leave their dwelling without passing through rooms occupied by other people outside of their household.<br />[There is a graphic representing question 1 in this section of the Enumeration Form.]<br /><span class="pg">[p. 25]</span><br />The concepts of separation and independence are represented graphically below.<br />[There is a drawing of a floor plan for a group of rooms.]<br /><div class="i1">According to this graphic, how many dwellings are there?<br />According to the definition, there are 2 dwellings. The dwelling of household "A" and that of household "B" meet the requirements of separation and independence, because they are surrounded by walls and their occupants don't pass through rooms occupied by other people in order to leave or enter the dwelling.<br />The space for household "C" is not considered a dwelling, because it is not independent. In order to enter or leave it, one has to pass through the dining room for household "B."<br />In conclusion, there are two dwellings, one that houses household "A" and the other which houses households "B" and "C."</div><br /><span class="em">Private Dwelling</span>: It is a dwelling meant to serve as lodging for one or more census households. They are classified as:<br />[Each of the eight examples below is accompanied by a drawing which corresponds to the description.]<br /><div class="i1"><span class="ital">Independent house</span>: Is one that has a direct exit to the street, road, etc., and makes up a single dwelling.<br /><span class="ital">Apartment in a building</span>: Is a dwelling that forms part of a building of two or more stories and which has access to public areas through a hallway, corridor, stairs, and/or elevator. Also classified in this group are dwellings on the first floor of the building that have direct access to the street.<br /><span class="ital">Dwelling in a <span class="lang">quinta</span></span>: Is a dwelling that is part of a group of one- or two-story dwellings located along an open-air patio and that have independent water supplies and drainage.</div><br /><span class="pg">[p. 26]</span><br /><div class="i1"><span class="ital">Dwelling in a tenement house</span>: Is a dwelling that is part of a group of dwellings located along a corridor or patio and that, generally, share a water supply and drainage facilities.<br />This category includes dwellings located in allies, urbanized land, and on wasteland.<br /><span class="ital">Shack or cabin</span>: This is a dwelling that is generally located in rural areas, built with natural materials of local origin, such as: stone, cane, straw, stone with mud, wood, etc.<br /><span class="ital">Improvised dwelling</span>: This is any lodging or independent construction that is provisionally constructed with light materials (woven plant material, crushed cane), waste materials (cardboard, tin), or with stacked bricks or adobe. This type of dwelling is generally found at the edge of large cities, forming slums, human settlements, invasions, etc.<br /><span class="ital">Premises not meant for human habitation</span>: These are permanent premises that haven't been constructed, adapted, or transformed for human habitation, but that are being used as dwellings on the day of the Census. Included in this category are dwellings located in stables, granaries, factories, warehouses, commercial or office buildings, wineries, etc.<br />Not included in this category are buildings that, even though they weren't originally constructed to be used for human habitation, have been transformed or adapted to serve that purpose.<br /><span class="ital">Other types</span>: This category refers to premises that are not meant for human habitation nor situated in permanent buildings, but that are used as premises of habitation on the day of the Census.<br />Examples: cave or other natural refuge, mobile dwellings, camping tent, canopy, yacht, trailer, etc.</div><br /></svar> Peru 1993: All households This variable indicates the type of dwelling. 01 Independent house 02 Apartment in a building 03 Dwelling in a quinta 04 Dwelling in a tenement 05 Shack or cabin 06 Improvised dwelling 07 Place not intended for human habitation 08 Other type of individual dwelling 09 Hotel, hostel, inn 10 Hospital, clinic 11 Boarding house 12 Prison, reformatory 13 Retirement home or hospice 14 Other type of collective dwelling 15 Transients/visitors 16 Ship 17 Home for minors Group Quarters Variables -- HOUSEHOLD Vacuum cleaner in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A048 PE93A058 PE93A059 PE93A063 PE93A064 PE93A065 PE93A068 PE93A069 PE93A070" a="all"><div class="i1">A) Does the household have any of the following domestic appliances?</div><br /><div class="i2">[] 1 Radio<br />[] 2 Black and white television<br />[] 3 Color television<br />[] 4 Stereo equipment<br />[] 5 Video recorder<br />[] 6 Washing machine<br />[] 7 Refrigerator<br />[] 8 Vacuum cleaner<br />[] 9 Floor polisher</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a vacuum cleaner. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Car or light truck for personal use in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><div class="i1">C) Does the household have any of the following means of transportation?</div><br /><div class="i2">[] 1 Car or light truck for personal use<br />[] 2 Car for work use<br />[] 3 Light truck for work use<br />[] 4 Motorcycle/motor scooter<br />[] 5 Bicycle<br />[] 6 Tricycle for work</div><br /></svar> <svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><span class="em">[5] C) Does the household have any of the following means of transportation?:</span><br />Read the question and each one of the options. Wait for one or more responses. Circle the numbers corresponding to the answers, as necessary.<br />[There is a picture of part C of this question on the Enumeration Form.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a car or light truck for personal use. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Car for work use in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><div class="i1">C) Does the household have any of the following means of transportation?</div><br /><div class="i2">[] 1 Car or light truck for personal use<br />[] 2 Car for work use<br />[] 3 Light truck for work use<br />[] 4 Motorcycle/motor scooter<br />[] 5 Bicycle<br />[] 6 Tricycle for work</div><br /></svar> <svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><span class="em">[5] C) Does the household have any of the following means of transportation?:</span><br />Read the question and each one of the options. Wait for one or more responses. Circle the numbers corresponding to the answers, as necessary.<br />[There is a picture of part C of this question on the Enumeration Form.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a car for work use. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Use of sanitary facilities <svar v="PE93A051" a="all">3. The sanitary facilities (water, toilet, latrine) are:<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 For the exclusive use of this household<br />[] 2 For shared use with another household<br />[] 3 There are no sanitary facilities</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I trace; type II trace] This variable indicates whether there are sanitary facilities in the household, and their type (exclusive or shared use). 1 Exclusive use 2 Shared use 3 No sanitary facilities 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Bicycle in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><div class="i1">C) Does the household have any of the following means of transportation?</div><br /><div class="i2">[] 1 Car or light truck for personal use<br />[] 2 Car for work use<br />[] 3 Light truck for work use<br />[] 4 Motorcycle/motor scooter<br />[] 5 Bicycle<br />[] 6 Tricycle for work</div><br /></svar> <svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><span class="em">[5] C) Does the household have any of the following means of transportation?:</span><br />Read the question and each one of the options. Wait for one or more responses. Circle the numbers corresponding to the answers, as necessary.<br />[There is a picture of part C of this question on the Enumeration Form.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a bicycle. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Light truck for work in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><div class="i1">C) Does the household have any of the following means of transportation?</div><br /><div class="i2">[] 1 Car or light truck for personal use<br />[] 2 Car for work use<br />[] 3 Light truck for work use<br />[] 4 Motorcycle/motor scooter<br />[] 5 Bicycle<br />[] 6 Tricycle for work</div><br /></svar> <svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><span class="em">[5] C) Does the household have any of the following means of transportation?:</span><br />Read the question and each one of the options. Wait for one or more responses. Circle the numbers corresponding to the answers, as necessary.<br />[There is a picture of part C of this question on the Enumeration Form.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I none; type II 83.3%] This variable indicates whether the household has a light truck for work use. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Use of room for cooking <svar v="PE93A054" a="all">2. The separate room used for cooking is:<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 For the exclusive use of this household<br />[] 2 For shared use with another household<br />[] 3 There is no separate room for cooking</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I trace; type II 1.1%] This variable indicates whether there is a room for cooking in the household, and its type (exclusive or shared use). 1 Exclusive use 2 Shared use 3 No separate room for cooking 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Computer in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A055 PE93A060 PE93A061 PE93A066" a="all"><div class="i1">B) Does the household have any of the following machines or equipment?</div><br /><div class="i2">[] 1 Sewing machine<br />[] 2 Knitting machine<br />[] 3 Computer<br />[] 4 Telephone</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a computer. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of sleeping rooms <svar v="PE93A056" a="all">1. How many rooms in this household are used exclusively for sleeping?<br /><div class="i1">Write the number in the box: ____</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates the number of rooms for sleeping in the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Space in the dwelling used for economic activity <svar v="PE93A057" a="all">4. Is any part of the dwelling used to carry out activities which bring income to the household?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I trace; type II trace] This variable indicates whether some space in the dwelling is used for an economic activity. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Washing machine in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A048 PE93A058 PE93A059 PE93A063 PE93A064 PE93A065 PE93A068 PE93A069 PE93A070" a="all"><div class="i1">A) Does the household have any of the following domestic appliances?</div><br /><div class="i2">[] 1 Radio<br />[] 2 Black and white television<br />[] 3 Color television<br />[] 4 Stereo equipment<br />[] 5 Video recorder<br />[] 6 Washing machine<br />[] 7 Refrigerator<br />[] 8 Vacuum cleaner<br />[] 9 Floor polisher</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a washing machine. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Floor polisher in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A048 PE93A058 PE93A059 PE93A063 PE93A064 PE93A065 PE93A068 PE93A069 PE93A070" a="all"><div class="i1">A) Does the household have any of the following domestic appliances?</div><br /><div class="i2">[] 1 Radio<br />[] 2 Black and white television<br />[] 3 Color television<br />[] 4 Stereo equipment<br />[] 5 Video recorder<br />[] 6 Washing machine<br />[] 7 Refrigerator<br />[] 8 Vacuum cleaner<br />[] 9 Floor polisher</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a floor polisher. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Sewing machine in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A055 PE93A060 PE93A061 PE93A066" a="all"><div class="i1">B) Does the household have any of the following machines or equipment?</div><br /><div class="i2">[] 1 Sewing machine<br />[] 2 Knitting machine<br />[] 3 Computer<br />[] 4 Telephone</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a sewing machine. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Knitting machine in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A055 PE93A060 PE93A061 PE93A066" a="all"><div class="i1">B) Does the household have any of the following machines or equipment?</div><br /><div class="i2">[] 1 Sewing machine<br />[] 2 Knitting machine<br />[] 3 Computer<br />[] 4 Telephone</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a knitting machine. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Motorcycle/motor scooter in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><div class="i1">C) Does the household have any of the following means of transportation?</div><br /><div class="i2">[] 1 Car or light truck for personal use<br />[] 2 Car for work use<br />[] 3 Light truck for work use<br />[] 4 Motorcycle/motor scooter<br />[] 5 Bicycle<br />[] 6 Tricycle for work</div><br /></svar> <svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><span class="em">[5] C) Does the household have any of the following means of transportation?:</span><br />Read the question and each one of the options. Wait for one or more responses. Circle the numbers corresponding to the answers, as necessary.<br />[There is a picture of part C of this question on the Enumeration Form.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a motorcycle / motor scooter. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A048 PE93A058 PE93A059 PE93A063 PE93A064 PE93A065 PE93A068 PE93A069 PE93A070" a="all"><div class="i1">A) Does the household have any of the following domestic appliances?</div><br /><div class="i2">[] 1 Radio<br />[] 2 Black and white television<br />[] 3 Color television<br />[] 4 Stereo equipment<br />[] 5 Video recorder<br />[] 6 Washing machine<br />[] 7 Refrigerator<br />[] 8 Vacuum cleaner<br />[] 9 Floor polisher</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a radio. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A048 PE93A058 PE93A059 PE93A063 PE93A064 PE93A065 PE93A068 PE93A069 PE93A070" a="all"><div class="i1">A) Does the household have any of the following domestic appliances?</div><br /><div class="i2">[] 1 Radio<br />[] 2 Black and white television<br />[] 3 Color television<br />[] 4 Stereo equipment<br />[] 5 Video recorder<br />[] 6 Washing machine<br />[] 7 Refrigerator<br />[] 8 Vacuum cleaner<br />[] 9 Floor polisher</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a refrigerator. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Stereo equipment in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A048 PE93A058 PE93A059 PE93A063 PE93A064 PE93A065 PE93A068 PE93A069 PE93A070" a="all"><div class="i1">A) Does the household have any of the following domestic appliances?</div><br /><div class="i2">[] 1 Radio<br />[] 2 Black and white television<br />[] 3 Color television<br />[] 4 Stereo equipment<br />[] 5 Video recorder<br />[] 6 Washing machine<br />[] 7 Refrigerator<br />[] 8 Vacuum cleaner<br />[] 9 Floor polisher</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has stereo equipment. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Telephone in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A055 PE93A060 PE93A061 PE93A066" a="all"><div class="i1">B) Does the household have any of the following machines or equipment?</div><br /><div class="i2">[] 1 Sewing machine<br />[] 2 Knitting machine<br />[] 3 Computer<br />[] 4 Telephone</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a telephone. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Tricycle for work in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><div class="i1">C) Does the household have any of the following means of transportation?</div><br /><div class="i2">[] 1 Car or light truck for personal use<br />[] 2 Car for work use<br />[] 3 Light truck for work use<br />[] 4 Motorcycle/motor scooter<br />[] 5 Bicycle<br />[] 6 Tricycle for work</div><br /></svar> <svar v="PE93A049 PE93A050 PE93A052 PE93A053 PE93A062 PE93A067" a="all"><span class="em">[5] C) Does the household have any of the following means of transportation?:</span><br />Read the question and each one of the options. Wait for one or more responses. Circle the numbers corresponding to the answers, as necessary.<br />[There is a picture of part C of this question on the Enumeration Form.]<br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a tricycle for work. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Black and white television in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A048 PE93A058 PE93A059 PE93A063 PE93A064 PE93A065 PE93A068 PE93A069 PE93A070" a="all"><div class="i1">A) Does the household have any of the following domestic appliances?</div><br /><div class="i2">[] 1 Radio<br />[] 2 Black and white television<br />[] 3 Color television<br />[] 4 Stereo equipment<br />[] 5 Video recorder<br />[] 6 Washing machine<br />[] 7 Refrigerator<br />[] 8 Vacuum cleaner<br />[] 9 Floor polisher</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a black and white television. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Color television in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A048 PE93A058 PE93A059 PE93A063 PE93A064 PE93A065 PE93A068 PE93A069 PE93A070" a="all"><div class="i1">A) Does the household have any of the following domestic appliances?</div><br /><div class="i2">[] 1 Radio<br />[] 2 Black and white television<br />[] 3 Color television<br />[] 4 Stereo equipment<br />[] 5 Video recorder<br />[] 6 Washing machine<br />[] 7 Refrigerator<br />[] 8 Vacuum cleaner<br />[] 9 Floor polisher</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a color television. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Video recorder in the household <svar v="PE93A048 PE93A049 PE93A050 PE93A052 PE93A053 PE93A055 PE93A058 PE93A059 PE93A060 PE93A061 PE93A062 PE93A063 PE93A064 PE93A065 PE93A066 PE93A067 PE93A068 PE93A069 PE93A070">5. Equipment in the household<br /><div class="i1">Circle one or more numbers, as appropriate:</div><br /></svar></p> <p><svar v="PE93A048 PE93A058 PE93A059 PE93A063 PE93A064 PE93A065 PE93A068 PE93A069 PE93A070" a="all"><div class="i1">A) Does the household have any of the following domestic appliances?</div><br /><div class="i2">[] 1 Radio<br />[] 2 Black and white television<br />[] 3 Color television<br />[] 4 Stereo equipment<br />[] 5 Video recorder<br />[] 6 Washing machine<br />[] 7 Refrigerator<br />[] 8 Vacuum cleaner<br />[] 9 Floor polisher</div><br /></svar> Peru 1993: Private, occupied dwellings with people present [discrepancies: type I 3.7%; type II trace] This variable indicates whether the household has a video recorder. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Month of last birth LASTBMO indicates the month of birth of the last child born by the respondent. The data refer to live births. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year of last birth LASTBYR indicates the year of birth of the last child born by the respondent. The data refer to live births. 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Unknown 9999 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of last birth LASTBMORT indicates the mortality status of the last child born to a woman. There is no constraint on how long ago the child may have been born. Only live births are considered. 0 NIU (not in universe) 1 Alive 2 Dead 9 Unknown Fertility and Mortality Variables -- PERSON Mortality status of mother MORTMOT indicates whether the person's biological mother was still living at the time of the census. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace Variables -- PERSON Province of birth, Peru BPLPE indicates the person's province of birth within Peru. 0101 Chachapoyas 0102 Bagua 0103 Bongara 0104 Condorcanqui 0105 Luya 0106 Rodriguez De Mendoza 0107 Utcubamba 0199 Department of Amazonas, province not specified 0201 Huaraz 0202 Aija 0203 Antonio Raymondi 0204 Asuncion 0205 Bolognesi 0206 Carhuaz 0207 Carlos Fermin Fitzcarrald 0208 Casma 0209 Corongo 0210 Huari 0211 Huarmey 0212 Huaylas 0213 Mariscal Luzurriaga 0214 Ocros 0215 Pallasca 0216 Pomabamba 0217 Recuay 0218 Santa 0219 Sihuas 0220 Yungay 0299 Department of Ancash, province not specified 0301 Abancay 0302 Andahuaylas 0303 Antabamba 0304 Aymaraes 0305 Cotabambas 0306 Chincheros 0307 Grau 0399 Department of Apurimac, province not specified 0401 Arequipa 0402 Camana 0403 Caraveli 0404 Castilla 0405 Caylloma 0406 Condesuyos 0407 Islay 0408 La Union 0499 Department of Arequipa, province not specified 0501 Huamanga 0502 Cangallo 0503 Huanca Sancos 0504 Huanta 0505 La Mar 0506 Lucanas 0507 Parinacochas 0508 Paucar Del Sara Sara 0509 Sucre 0510 Victor Fajardo 0511 Vilcashuaman 0599 Department of Ayacucho, province not specified 0601 Cajamarca 0602 Cajabamba 0603 Celendin 0604 Chota 0605 Contumaza 0606 Cutervo 0607 Hualgayoc 0608 Jaen 0609 San Ignacio 0610 San Marcos 0611 San Miguel 0612 San Pablo 0613 Santa Cruz 0699 Department of Cajamarca, province not specified 0701 Callao 0801 Cusco 0802 Acomayo 0803 Anta 0804 Calca 0805 Canas 0806 Canchis 0807 Chumbivilcas 0808 Espinar 0809 La Convencion 0810 Paruro 0811 Paucartambo 0812 Quispicanchi 0813 Urubamba 0899 Department of Cusco, province not specified 0901 Huancavelica 0902 Acobamba 0903 Angaraes 0904 Castrovirreyna 0905 Churcampa 0906 Huaytara 0907 Tayacaja 0999 Department of Huancavelica, province not specified 1001 Huanuco 1002 Ambo 1003 Dos De Mayo 1004 Huacaybamba 1005 Huamalies 1006 Leoncio Prado 1007 Marañon 1008 Pachitea 1009 Puerto Inca 1010 Lauricocha 1011 Yarowilca 1099 Department of Huanuco, province not specified 1101 Ica 1102 Chincha 1103 Nasca 1104 Palpa 1105 Pisco 1199 Department of Ica, province not specified 1201 Huancayo 1202 Concepcion 1203 Chanchamayo 1204 Jauja 1205 Junin 1206 Satipo 1207 Tarma 1208 Yauli 1209 Chupaca 1299 Department of Junin, province not specified 1301 Trujillo 1302 Ascope 1303 Bolivar 1304 Chepen 1305 Julcan 1306 Otuzco 1307 Pacasmayo 1308 Pataz 1309 Sanchez Carrion 1310 Santiago De Chuco 1311 Gran Chimu 1312 Viru 1399 Department of La Libertad, province not specified 1401 Chiclayo 1402 Ferreñafe 1403 Lambayeque 1499 Department of Lambayeque, province not specified 1501 Lima 1502 Barranca 1503 Cajatambo 1504 Canta 1505 Cañete 1506 Huaral 1507 Huarochiri 1508 Huaura 1509 Oyon 1510 Yauyos 1599 Department of Lima, province not specified 1601 Maynas 1602 Alto Amazonas 1603 Loreto 1604 Mariscal Ramon Castilla 1605 Requena 1606 Ucayali 1607 Datem del Marañon 1608 Putumayo 1699 Department of Loreto, province not specified 1701 Tambopata 1702 Manu 1703 Tahuamanu 1799 Department of Madre de Dios, province not specified 1801 Mariscal Nieto 1802 Gral. Sanchez Cerro 1803 Ilo 1899 Department of Moquegua, province not specified 1901 Pasco 1902 Daniel Alcides Carrion 1903 Oxapampa 1999 Department of Pasco, province not specified 2001 Piura 2002 Ayabaca 2003 Huancabamba 2004 Morropon 2005 Paita 2006 Sullana 2007 Talara 2008 Sechura 2099 Department of Piura, province not specified 2101 Puno 2102 Azangaro 2103 Carabaya 2104 Chucuito 2105 El Collao 2106 Huancane 2107 Lampa 2108 Melgar 2109 Moho 2110 San Antonio De Putina 2111 San Roman 2112 Sandia 2113 Yunguyo 2199 Department of Puno, province not specified 2201 Moyobamba 2202 Bellavista 2203 El Dorado 2204 Huallaga 2205 Lamas 2206 Mariscal Caceres 2207 Picota 2208 Rioja 2209 San Martin 2210 Tocache 2299 Department of San Martin, province not specified 2301 Tacna 2302 Candarave 2303 Jorge Basadre 2304 Tarata 2399 Department of Tacna, province not specified 2401 Tumbes 2402 Contralmirante Villar 2403 Zarumilla 2499 Department of Tumbes, province not specified 2501 Coronel Portillo 2502 Atalaya 2503 Padre Abad 2504 Purus 2599 Department of Ucayali, province not specified 9998 FOREIGN COUNTRY 9999 UNKNOWN Nativity and Birthplace Variables -- PERSON Religion [general version] RELIGION indicates the person's religion, including "none." 0 NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown Ethnicity and Language Variables -- PERSON Religion [detailed version] RELIGION indicates the person's religion, including "none." 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown Ethnicity and Language Variables -- PERSON Mother tongue, Peru MTONGPE indicates the respondent's mother tongue: the first language learned as a child. 0 NIU (not in universe) 1 Quechua 2 Aymará 3 Asháninka 4 Other indigenous language 5 Spanish 6 Foreign language 7 Deaf-mute 9 Unknown Ethnicity and Language Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Peru EDUCPE indicates the person's educational attainment in Peru in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 110 Preschool 120 Basic special school 121 Year 1 122 Year 2 123 Year 3 124 Year 4 200 Primary education 201 Primary, grade 1 202 Primary, grade 2 203 Primary, grade 3 204 Primary, grade 4 205 Primary, grade 5 206 Primary, grade 6 207 Primary, grade unknown 300 Secondary education 301 Secondary, grade 1 302 Secondary, grade 2 303 Secondary, grade 3 304 Secondary, grade 4 305 Secondary, grade 5 306 Secondary, grade 6 400 Regular basic (1972-1982) 401 Regular basic, grade 1 402 Regular basic, grade 2 403 Regular basic, grade 3 404 Regular basic, grade 4 405 Regular basic, grade 5 406 Regular basic, grade 6 407 Regular basic, grade 7 408 Regular basic, grade 8 409 Regular basic, grade 9 500 Trade school (1972-1982) 501 Trade school, grade 1 502 Trade school, grade 2 503 Trade school, grade 3 504 Trade school, grade 4 505 Trade school, grade 5 506 Trade school, grade 6 507 Trade school, grade 7 508 Trade school, grade 8/9 600 Tertiary education 610 Non-university 611 Tertiary non-university, incomplete 612 Tertiary non-university, complete 620 University 621 University, incomplete 622 University, complete 630 Master's or doctorate degree 999 Unknown Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Country of residence 5 years ago MIGCTRY5 indicates the country of residence 5 years ago for international migrants. Persons who did not live abroad 5 years earlier are coded to the "non-migrant" category. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 Western Africa, n.s. 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21280 Curacao 21290 Sint Maarten 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22990 Central America, n.s. 22991 Central America and Caribbean 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North or Central America, n.s. 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32900 South Asia, not specified 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33900 South-Eastern Asia, not specified 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34999 Middle East, n.e.c. 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.e.c. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 42999 Northern Europe, n.e.c. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxembourg 44022 Benelux (Belgium/Netherlands/Luxembourg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49999 Europe, n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.e.c. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 54999 Polynesia, n.e.c. 59999 Oceania, n.s. 60000 Other 60010 Other Arab country 90000 Non-migrants (international) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON Disability status DISABLED indicates whether the person reported a disability of any kind. 0 NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown Disability Variables -- PERSON Blind or vision-impaired DISBLND indicates whether the person was blind or had limited vision. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Deaf or hearing-impaired DISDEAF indicates whether the person was deaf or had limited hearing. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mute or speech impaired DISMUTE indicates if the person could not speak or had a significant speech impediment. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting lower extremities DISLOWR indicates whether the person lacked use of one or both legs. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting upper extremities DISUPPR indicates whether the person lacked full use of at least one arm or hand. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mental disability DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Psychological disability DISPSYC indicates whether the person was disabled due to mental illness. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Person number (within household) Peru 1993: All persons This variable indicates the person number (within the household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Economic activity (4 digits) <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="em">For those 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428"><span class="em">Questions 14 to 17 refer to last week, or to the last time employed.</span><br /></svar></p> <p><svar v="PE93A400 PE93A409" a="all">15. What does the business, organization, or company in which you work do?<br /><div class="i1">Examples: manufacture clothing, rice growing, raising cattle, wholesale grocery sales, etc.</div><br /><br /><div class="i1">Specify____</div><br /></svar> <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="h3">For people 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A428"><span class="h3">Questions 14 to 17 refer to last week, or to the last time employed.</span><br /></svar></p> <p><svar v="PE93A400 PE93A409" a="all"><span class="h3">Question No. 15: What does the business, organization, or company in which you work do?</span><br />Read the question. Wait for the response, and then record the <span class="em">specific name of the main activity</span> of the place of work or that the informant performs on their own.<br />Below are some examples that allow you to see the correct form for making the notations.<br />[There is a graphic of question 15 in this section of the enumeration form.]<br /><table align="center" border="1" cellpadding="2" cellspacing="0" width="90%"> <col width="20%"> <col width="80%"> <tr> <th>Incorrect notation</th> <th>Correct notation</th> </tr> <tr> <td>Small farm</td> <td>Cultivation of "panllevar" [#tr]</td> </tr> <tr> <td>Cultivation of fruit trees</td> <td>Cultivation of cotton</td> </tr> <tr> <td>Cultivation of sugar cane</td> <td>Milking stable, fattening stable, etc.</td> </tr> <tr> <td>Workshop</td> <td>Blacksmith's workshop, car repair workshop, lathe operator's shop, bicycle repair shop, carpentry workshop, etc.</td> </tr> <tr> <td>Store</td> <td>Retail grocery sales, shoe sales, vegetable sales, restaurant, etc.</td> </tr> <tr> <td>Farm</td> <td>Poultry farm, pig farm, etc.</td> </tr> <tr> <td>Factory</td> <td>Shoe production, cheese and/or butter production, making of articles of clothing, soap production, alcohol production, soda production, etc.</td> </tr> <tr> <td>Public Administration</td> <td>Health Ministry, municipality, National Institute of Statistics and Computing, etc.</td> </tr> </table><br /></svar> Peru 1993: Persons age 6+ with work or experienced and seeking work [discrepancies: none] This variable indicates the economic activity in which the person is occupied (4 digits). 0111 Growing of cereals and other crops n.e.c. 0112 Growing of vegetables, horticultural specialties and nursery products 0113 Growing of fruit, nuts, beverage and spice crops 0121 Farming of cattle, sheep, goats, horses, asses, mules and hinnies; dairy farming 0122 Other animal farming; production of animal products n.e.c. 0130 Growing of crops combined with farming of animals (mixed farming) 0140 Agricultural and animal husbandry service activities, except veterinary activities 0150 Hunting, trapping and game propagation including related service activities 0200 Forestry, logging and related service activities 0500 Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing 1010 Mining and agglomeration of hard coal 1110 Extraction of crude petroleum and natural gas 1120 Service activities incidental to oil and gas extraction excluding surveying 1310 Mining of iron ores 1320 Mining of non-ferrous metal ores, except uranium and thorium ores 1410 Quarrying of stone, sand, and clay 1421 Mining of chemical and fertilizer minerals 1422 Extraction of salt 1429 Other mining and quarrying n.e.c. 1511 Production, processing, and preserving of meat and meat products 1512 Processing and preserving of fish and fish products 1513 Processing and preserving of fruit and vegetables 1514 Manufacture of vegetable and animal oils and fats 1520 Manufacture of dairy products 1531 Manufacture of grain mill products 1532 Manufacture of starches and starch products 1533 Manufacture of prepared animal feeds 1541 Manufacture of bakery products 1542 Manufacture of sugar 1543 Manufacture of cocoa, chocolate, and sugar confectionery 1544 Manufacture of macaroni, noodles, couscous, and similar farinaceous products 1549 Manufacture of other food products n.e.c. 1551 Distilling, rectifying, and blending of spirits; ethyl alcohol production from fermented materials 1552 Manufacture of wines 1553 Manufacture of malt liquors and malt 1554 Manufacture of soft drinks; production of mineral waters 1600 Manufacture of tobacco products 1711 Preparation and spinning of textile fibres; weaving of textiles 1712 Finishing of textiles 1721 Manufacture of made-up textile articles, except apparel 1722 Manufacture of carpets and rugs 1723 Manufacture of cordage, rope, twine, and netting 1729 Manufacture of other textiles n.e.c. 1730 Manufacture of knitted and crocheted fabrics and articles 1810 Manufacture of wearing apparel, except fur apparel 1820 Dressing and dyeing of fur; manufacture of articles of fur 1911 Tanning and dressing of leather 1912 Manufacture of luggage, handbags and the like, saddlery, and harness 1920 Manufacture of footwear 2010 Sawmilling and planing of wood 2021 Manufacture of veneer sheets; manufacture of plywood, laminboard, particle board, and other panels and boards 2022 Manufacture of builders' carpentry and joinery 2023 Manufacture of wooden containers 2029 Manufacture of other products of wood; manufacture of articles of cork, straw, and plaiting materials 2101 Manufacture of pulp, paper, and paperboard 2102 Manufacture of corrugated paper and paperboard and of containers of paper and paperboard 2109 Manufacture of other articles of paper and paperboard 2211 Publishing of books, brochures, musical books, and other publications 2212 Publishing of newspapers, journals, and periodicals 2219 Other publishing 2221 Printing 2222 Service activities related to printing 2320 Manufacture of refined petroleum products 2411 Manufacture of basic chemicals, except fertilizers, and nitrogen compounds 2412 Manufacture of fertilizers and nitrogen compounds 2413 Manufacture of plastics in primary forms and of synthetic rubber 2421 Manufacture of pesticides and other agro-chemical products 2422 Manufacture of paints, varnishes and similar coatings, printing ink and mastics 2423 Manufacture of pharmaceuticals, medicinal chemicals, and botanical products 2424 Manufacture of soap and detergents, cleaning and polishing preparations, perfumes and toilet preparations 2429 Manufacture of other chemical products n.e.c. 2430 Manufacture of man-made fibers 2511 Manufacture of rubber tires and tubes; retreading and rebuilding of rubber tires 2519 Manufacture of other rubber products 2520 Manufacture of plastics products 2610 Manufacture of glass and glass products 2691 Manufacture of non-structural non-refractory ceramic ware 2692 Manufacture of refractory ceramic products 2693 Manufacture of structural non-refractory clay and ceramic products 2694 Manufacture of cement, lime and plaster 2695 Manufacture of articles of concrete, cement, and plaster 2696 Cutting, shaping, and finishing of stone 2699 Manufacture of other non-metallic mineral products n.e.c. 2710 Manufacture of basic iron and steel 2720 Manufacture of basic precious and non-ferrous metals 2731 Casting of iron and steel 2732 Casting of non-ferrous metals 2811 Manufacture of structural metal products 2812 Manufacture of tanks, reservoirs, and containers of metal 2891 Forging, pressing, stamping, and roll-forming of metal; powder metallurgy 2892 Treatment and coating of metals; general mechanical engineering on a fee or contract basis 2893 Manufacture of cutlery, hand tools, and general hardware 2899 Manufacture of other fabricated metal products n.e.c. 2911 Manufacture of engines and turbines, except aircraft, vehicle, and cycle engines 2912 Manufacture of pumps, compressors, taps ,and valves 2913 Manufacture of bearings, gears, gearing, and driving elements 2919 Manufacture of other general purpose machinery 2922 Manufacture of machine-tools 2925 Manufacture of machinery for food, beverage, and tobacco processing 2926 Manufacture of machinery for textile, apparel, and leather production 2927 Manufacture of weapons and ammunition 2929 Manufacture of other special purpose machinery 2930 Manufacture of domestic appliances n.e.c. 2999 Manufacture of machinery and equipment n.e.c., unknown economic activity 3000 Manufacture of office, accounting, and computing machinery 3110 Manufacture of electric motors, generators, and transformers 3120 Manufacture of electricity distribution and control apparatus 3130 Manufacture of insulated wire and cable 3140 Manufacture of accumulators, primary cells, and primary batteries 3150 Manufacture of electric lamps and lighting equipment 3190 Manufacture of other electrical equipment n.e.c. 3210 Manufacture of electronic valves and tubes and other electronic components 3230 Manufacture of television and radio receivers, sound or video recording or reproducing apparatus, and associated goods 3311 Manufacture of medical and surgical equipment and orthopedic appliances 3312 Manufacture of instruments and appliances for measuring, checking, testing, navigating, and other purposes, except industrial process control equipment 3320 Manufacture of optical instruments and photographic equipment 3330 Manufacture of watches and clocks 3410 Manufacture of motor vehicles 3420 Manufacture of bodies (coachwork) for motor vehicles; manufacture of trailers and semi-trailers 3430 Manufacture of parts and accessories for motor vehicles and their engines 3511 Building and repairing of ships 3512 Building and repairing of pleasure and sporting boats 3530 Manufacture of aircraft and spacecraft 3592 Manufacture of bicycles and invalid carriages 3610 Manufacture of furniture 3691 Manufacture of jewelry and related articles 3692 Manufacture of musical instruments 3693 Manufacture of sports goods 3694 Manufacture of games and toys 3699 Other manufacturing n.e.c. 3700 Recycling 4010 Production, collection, and distribution of electricity 4020 Manufacture of gas; distribution of gaseous fuels through mains 4100 Collection, purification, and distribution of water 4510 Site preparation 4520 Building of complete constructions or parts thereof; civil engineering 4530 Building installation 4540 Building completion 5010 Sale of motor vehicles 5020 Maintenance and repair of motor vehicles 5030 Sale of motor vehicle parts and accessories 5040 Sale, maintenance, and repair of motorcycles and related parts and accessories 5050 Retail sale of automotive fuel 5110 Wholesale on a fee or contract basis 5121 Wholesale of agricultural raw materials and live animals 5122 Wholesale of food, beverages, and tobacco 5131 Wholesale of textiles, clothing, and footwear 5139 Wholesale of other household goods 5141 Wholesale of solid, liquid, and gaseous fuels and related products 5142 Wholesale of metals and metal ores 5143 Wholesale of construction materials, hardware, plumbing, and heating equipment and supplies 5149 Wholesale of other intermediate products, waste, and scrap 5150 Wholesale of machinery, equipment, and supplies 5190 Other wholesale 5211 Retail sale in non-specialized stores with food, beverages, or tobacco predominating 5219 Other retail sale in non-specialized stores 5220 Retail sale of food, beverages, and tobacco in specialized stores 5231 Retail sale of pharmaceutical and medical goods, cosmetic and toilet articles 5232 Retail sale of textiles, clothing, footwear, and leather goods 5233 Retail sale of household appliances, articles, and equipment 5234 Retail sale of hardware, paint, and glass 5239 Other retail sale in specialized stores 5240 Retail sale of second-hand goods in stores 5251 Retail sale via mail order houses 5252 Retail sale via stalls and markets 5259 Other non-store retail sale 5260 Repair of personal and household goods 5270 Retail trade, unknown economic activity 5510 Hotels; camping sites and other provision of short-stay accommodation 5520 Restaurants, bars, and canteens 6010 Transport via railways 6021 Other scheduled passenger land transport 6022 Other non-scheduled passenger land transport 6023 Freight transport by road 6110 Sea and coastal water transport 6120 Inland water transport 6210 Scheduled air transport 6220 Non-scheduled air transport 6301 Cargo handling 6302 Storage and warehousing 6303 Other supporting transport activities 6304 Activities of travel agencies and tour operators; tourist assistance activities n.e.c. 6309 Activities of other transport agencies 6411 National post activities 6412 Courier activities other than national post activities 6420 Telecommunications 6511 Central banking 6519 Other monetary intermediation 6591 Financial leasing 6592 Other credit granting 6599 Other financial intermediation n.e.c. 6601 Life insurance 6602 Pension funding 6603 Non-life insurance 6711 Administration of financial markets 6712 Security dealing activities 6719 Activities auxiliary to financial intermediation n.e.c. 6720 Activities auxiliary to insurance and pension funding 7010 Real estate activities with own or leased property 7020 Real estate activities on a fee or contract basis 7111 Renting of land transport equipment 7129 Renting of other machinery and equipment n.e.c. 7130 Renting of personal and household goods n.e.c. 7210 Hardware consultancy 7220 Software consultancy and supply 7230 Data processing 7240 Data base activities 7250 Maintenance and repair of office, accounting and computing machinery 7290 Other computer related activities 7310 Research and experimental development on natural sciences and engineering (NSE) 7320 Research and experimental development on social sciences and humanities (SSH) 7411 Legal activities 7412 Accounting, book-keeping, and auditing activities; tax consultancy 7413 Market research and public opinion polling 7414 Business and management consultancy activities 7421 Architectural and engineering activities and related technical consultancy 7422 Technical testing and analysis 7430 Advertising 7491 Labor recruitment and provision of personnel 7492 Investigation and security activities 7493 Building-cleaning activities 7494 Photographic activities 7495 Packaging activities 7499 Other business activities n.e.c. 7511 General (over-all) public service activities 7512 Regulation of the activities of agencies that provide health care, education, cultural services, and other social services, excluding social security 7513 Regulation of and contribution to more efficient operation of business 7514 Ancillary service activities for the government as a whole 7521 Foreign affairs 7522 Defense activities 7523 Public order and safety activities 7530 Compulsory social security activities 8010 Primary education 8021 General secondary education 8022 Technical and vocational secondary education 8030 Higher education 8090 Adult and other education 8099 Education, not specified 8511 Hospital activities 8512 Medical and dental practice activities 8519 Other human health activities 8520 Veterinary activities 8531 Social work with accommodation 8532 Social work without accommodation 9000 Sewage and refuse disposal, sanitation, and similar activities 9111 Activities of business and employers organizations 9112 Activities of professional organizations 9120 Activities of trade unions 9191 Activities of religious organizations 9199 Activities of other membership organizations n.e.c. 9211 Motion picture and video production and distribution 9212 Motion picture projection 9213 Radio and television activities 9214 Dramatic arts, music, and other arts activities 9219 Other entertainment activities n.e.c. 9220 News agency activities 9231 Library and archives activities 9232 Museums activities and preservation of historical sites and buildings 9233 Botanical and zoological gardens and nature reserves activities 9241 Sporting activities 9249 Other recreational activities 9301 Washing, and (dry-) cleaning of textile and fur products 9302 Hairdressing and other beauty treatment 9303 Funeral and related activities 9309 Other service activities n.e.c. 9500 Private households with employed persons 9900 Extra-territorial organizations and bodies 9995 Other industries, not elsewhere classified 9998 Unknown 9999 NIU (not in universe) Work: Industry Variables -- PERSON Mental illness <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person has a mental illness. 1 Yes, has 2 Doesn't have Disability Variables -- PERSON Year of birth of last child <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="em">For women 12 years of age and older</span><br />[Applies to questions 20 -23]<br /></svar></p> <p><svar v="PE93A402 PE93A421" a="all">22. In what month and year was your last live-born child born?<br /><div class="i1">_ _ Month<br />_ _ Year</div><br /></svar> <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="h3">For women 12 years of age and older</span><br />[Applies to questions 20 - 23]<br /></svar></p> <p><svar v="PE93A402 PE93A421" a="all"><span class="h3">Question No. 22: In what month and year was you last child (live birth) born?</span><br />Read the question. Wait for the informant's response and record in the corresponding boxes the number of the month and the last two digits of the year of birth of the last child born alive.<br />[There is a picture of question 22 in this section of the Enumeration Form.]<br />Use two digits to record the month and year.<br />Example: April of 1960<br /><div class="i1">Month: 04<br />Year: 60</div><br /><span class="em">Remember that</span>:<br />Stepchildren and adopted children are not included in this question.<br /></svar> Peru 1993: Females age 12+ with children ever born [discrepancies: type I 0.3%; type II none] This variable indicates the year of birth of a woman's last child. 14 1914 15 1915 16 1916 17 1917 18 1918 19 1919 20 1920 21 1921 22 1922 23 1923 24 1924 25 1925 26 1926 27 1927 28 1928 29 1929 30 1930 31 1931 32 1932 33 1933 34 1934 35 1935 36 1936 37 1937 38 1938 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 83 1983 84 1984 85 1985 86 1986 87 1987 88 1988 89 1989 90 1990 91 1991 92 1992 93 1993 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Currently attending an educational institution <svar v="PE93A403 PE93A413 PE93A419 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="em"> For those 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A403 PE93A425" a="PE93A403">10. Do you or did you attend any educational institution of regular instruction?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Not currently attending, but did attend<br />[] 2 Currently attending<br />[] 3 Never attended - Skip to question 12</div><br /></svar> <svar v="PE93A403 PE93A419 PE93A413 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="h3">For people 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A403" a="all"><span class="h3">Question No. 10: Do you or did you attend any educational institution of regular instruction?</span><br />This question refers to attendance of a study center belonging to the regular educational system.<br />[There is a picture of question 10 in this section of the Enumeration Form.]<br /><span class="pg">[p. 43]</span><br />Not considered in such attendance is participation in courses in dressmaking, computers, etc.<br />Read the question and, based on the response, circle the appropriate number. If the informant reports that they have never attended, circle number 3 and continue on to question 12.<br /></svar> Peru 1993: Persons age 5+ [discrepancies: none] This variable indicates whether the person is currently attending an educational institution. 1 Not currently attending but did attend 2 Currently attending 3 Never attended 9 NIU (not in universe) Education Variables -- PERSON Occupational category/employment status <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="em">For those 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428"><span class="em">Questions 14 to 17 refer to last week, or to the last time employed.</span><br /></svar></p> <p><svar v="PE93A404" a="all">16. In your place of work, were you a:<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Laborer<br />[] 2 White-collar or professional employee<br />[] 3 Unpaid family worker<br />[] 4 Domestic worker<br />[] 5 Self-employed worker<br />[] 6 Employer or owner</div><br /></svar> <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="h3">For people 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A428"><span class="h3">Questions 14 to 17 refer to last week, or to the last time employed.</span><br /></svar></p> <p><svar v="PE93A404" a="all"><span class="h3">Question No. 16: In your place of work, were you a:</span><br />Read the question and each one of the options. Then, circle the appropriate number.<br />[There is a picture of question 16 in this section of the Enumeration Form.]<br />Remember the following definitions:<br /><div class="i1"><span class="ital">Laborer</span>: Is a person who performs a predominantly manual occupation and works for a public or private employer, receiving compensation for their work in the form of a wage, such as weekly pay.<br /><span class="ital">White collar or professional employee</span>: Is a person who performs a predominantly intellectual occupation and works for a private or public employer, receiving compensation for their work in the form of a salary, commission, payment in kind, etc., such as monthly pay.<br /><span class="ital">Unpaid family worker</span>: Is a person who works at least 15 hours a week in a company or business directed or run by a member of their family without receiving any payment for the work.<br /><span class="ital">Domestic worker</span>: Is a person who performs compensated services in another person's house.<br /><span class="ital">Independent or own-account worker</span>: Is a person who runs their own company or business or who practices a profession or trade on their own, without having any paid workers in their charge.</div><br /></svar> Peru 1993: Persons age 6+ with work or experienced and seeking work [discrepancies: type I none; type II trace] This variable indicates the person's occupational category or employment status. 1 Laborer 2 White-collar or professional employee 3 Unpaid family worker 4 Domestic worker 5 Self-employed worker 6 Employer or owner 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Blindness <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person has total blindness. The data are valid for the first 7 departments (roughly 23% of the country), but are corrupted after that point and coded as "Unknown". 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Age chronology <svar v="PE93A406 PE93A407 PE93A443 PE93A444" a="all">3. What is your age in years completed?<br /><div class="i1">Years completed _ _<br /><br />For those under 1 year, write the number of months, for those under 1 month write 00.<br /><br />Months completed _ _</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A406 PE93A407 PE93A443 PE93A444" a="all"><span class="h3">Question No. 3: What is your age in years completed?</span><br />Read the question and wait for the informant's response. Then, record the information in the appropriate box.<br />[There is a picture of a completed question 3 from this section of the Enumeration Form.]<br /><span class="em">Remember that</span>:<br />The information in this question should be recorded to two digits. When necessary, put a zero before it. Example: if the informant states that they are 7, record: 07.<br />In "Box 1" Completed years: The age, in completed years, of people older than one will be recorded. If the informant states that they are over 98, record 98.<br />In "Box 2" Months: For children younger than a year, the number of months will be recorded.<br />For children who are less than a month old: record "00" in "Box 2."<br /><span class="em">Remember that the boxes are exclusive</span>: This means that if the person is one year or older, their information will be recorded in box 1 "Completed Years" and you will leave box 2 "Completed Months" blank.<br />If the informant doesn't remember their age, help them in one of the following ways:<br /><div class="i1">Ask for their year of birth and make the necessary calculation. For example, if the person says that they were born in May of 1942, at the time of the Census they will be 51 years old (1993 - 1942 = 51).<br />Request a personal identity document (military I.D., voter registration card, birth certificate, etc.) that helps you determine their age.</div><br /></svar> Peru 1993: All persons This variable indicates whether the original age variable is recorded in months or years. 1 Years 2 Months Demographic Variables -- PERSON Age in years and months <svar v="PE93A406 PE93A407 PE93A443 PE93A444" a="all">3. What is your age in years completed?<br /><div class="i1">Years completed _ _<br /><br />For those under 1 year, write the number of months, for those under 1 month write 00.<br /><br />Months completed _ _</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A406 PE93A407 PE93A443 PE93A444" a="all"><span class="h3">Question No. 3: What is your age in years completed?</span><br />Read the question and wait for the informant's response. Then, record the information in the appropriate box.<br />[There is a picture of a completed question 3 from this section of the Enumeration Form.]<br /><span class="em">Remember that</span>:<br />The information in this question should be recorded to two digits. When necessary, put a zero before it. Example: if the informant states that they are 7, record: 07.<br />In "Box 1" Completed years: The age, in completed years, of people older than one will be recorded. If the informant states that they are over 98, record 98.<br />In "Box 2" Months: For children younger than a year, the number of months will be recorded.<br />For children who are less than a month old: record "00" in "Box 2."<br /><span class="em">Remember that the boxes are exclusive</span>: This means that if the person is one year or older, their information will be recorded in box 1 "Completed Years" and you will leave box 2 "Completed Months" blank.<br />If the informant doesn't remember their age, help them in one of the following ways:<br /><div class="i1">Ask for their year of birth and make the necessary calculation. For example, if the person says that they were born in May of 1942, at the time of the Census they will be 51 years old (1993 - 1942 = 51).<br />Request a personal identity document (military I.D., voter registration card, birth certificate, etc.) that helps you determine their age.</div><br /></svar> Peru 1993: All persons This variable records the person's original age variable, in years or months. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 years old or more Demographic Variables -- PERSON Marital status <svar v="PE93A408 PE93A434"><span class="em">For those 12 years of age and older</span><br />[Applies to questions 18 -19]<br /></svar></p> <p><svar v="PE93A408" a="all">18. Your marital status is:<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Cohabiting<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced<br />[] 5 Separated<br />[] 6 Single</div><br /></svar> <svar v="PE93A408 PE93A434"><span class="h3">For people 12 years of age and older</span><br />[Applies to questions 18 -19]<br /></svar></p> <p><svar v="PE93A408" a="all"><span class="h3">Question No. 18: Your marital status is:</span><br />Read the question and each one of the options. Then, circle the corresponding number.<br />[There is a picture of question 18 in this section of the Enumeration Form.]<br /><span class="em">Remember that</span>:<br /><div class="i1"><span class="ital">Partner in a consensual union</span>: Is a person who lives as if married without having had a civil or religious wedding ceremony.<br /><span class="ital">Married</span>: Is a person who has had a civil and/or religious wedding ceremony and lives with their spouse.<br /><span class="ital">Widowed from marriage or consensual union</span>: Is a person who, after the death of their spouse or partner in a consensual union, has not remarried, nor lives in a de facto or consensual union.<br /><span class="ital">Divorced</span>: Is a person who has ended the marital bond through a legal decision and who has not remarried, nor lives in a de facto or consensual union.<br /><span class="ital">Separated from a marriage or consensual union</span>: Is a person who is separated from their spouse or partner in a consensual union and doesn't live in a de facto or consensual union.<br /><span class="ital">Single</span>: Is a person who has never been married nor lived or lives in a de facto or consensual union.</div><br /></svar> Peru 1993: Persons age 12+ [discrepancies: none] This variable indicates the person's marital status. 1 Living together 2 Married 3 Widowed 4 Divorced 5 Separated 6 Single 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Economic activity (2 digits) <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="em">For those 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428"><span class="em">Questions 14 to 17 refer to last week, or to the last time employed.</span><br /></svar></p> <p><svar v="PE93A400 PE93A409" a="all">15. What does the business, organization, or company in which you work do?<br /><div class="i1">Examples: manufacture clothing, rice growing, raising cattle, wholesale grocery sales, etc.</div><br /><br /><div class="i1">Specify____</div><br /></svar> <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="h3">For people 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A428"><span class="h3">Questions 14 to 17 refer to last week, or to the last time employed.</span><br /></svar></p> <p><svar v="PE93A400 PE93A409" a="all"><span class="h3">Question No. 15: What does the business, organization, or company in which you work do?</span><br />Read the question. Wait for the response, and then record the <span class="em">specific name of the main activity</span> of the place of work or that the informant performs on their own.<br />Below are some examples that allow you to see the correct form for making the notations.<br />[There is a graphic of question 15 in this section of the enumeration form.]<br /><table align="center" border="1" cellpadding="2" cellspacing="0" width="90%"> <col width="20%"> <col width="80%"> <tr> <th>Incorrect notation</th> <th>Correct notation</th> </tr> <tr> <td>Small farm</td> <td>Cultivation of "panllevar" [#tr]</td> </tr> <tr> <td>Cultivation of fruit trees</td> <td>Cultivation of cotton</td> </tr> <tr> <td>Cultivation of sugar cane</td> <td>Milking stable, fattening stable, etc.</td> </tr> <tr> <td>Workshop</td> <td>Blacksmith's workshop, car repair workshop, lathe operator's shop, bicycle repair shop, carpentry workshop, etc.</td> </tr> <tr> <td>Store</td> <td>Retail grocery sales, shoe sales, vegetable sales, restaurant, etc.</td> </tr> <tr> <td>Farm</td> <td>Poultry farm, pig farm, etc.</td> </tr> <tr> <td>Factory</td> <td>Shoe production, cheese and/or butter production, making of articles of clothing, soap production, alcohol production, soda production, etc.</td> </tr> <tr> <td>Public Administration</td> <td>Health Ministry, municipality, National Institute of Statistics and Computing, etc.</td> </tr> </table><br /></svar> Peru 1993: Persons age 6+ with work or experienced and seeking work [discrepancies: none] This variable indicates the economic activity in which the person is occupied (2 digits). 001 Agriculture, hunting, and related service activities 002 Forestry, logging, and related service activities 005 Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing 010 Mining of coal and lignite; extraction of peat 011 Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying 013 Mining of metal ores 014 Other mining and quarrying 015 Manufacture of food products and beverages 016 Manufacture of tobacco product 017 Manufacture of textiles 018 Manufacture of wearing apparel; dressing and dyeing of fur 019 Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness, and footwear 020 Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw, and plaiting materials 021 Manufacture of paper and paper products 022 Publishing, printing, and reproduction of recorded media 023 Manufacture of coke, refined petroleum products, and nuclear fuel 024 Manufacture of chemicals and chemical products 025 Manufacture of rubber and plastic products 026 Manufacture of other non-metallic mineral products 027 Manufacture of basic metals 028 Manufacture of fabricated metal products, except machinery, and equipment 029 Manufacture of machinery and equipment n.e.c. 030 Manufacture of office, accounting, and computing machinery 031 Manufacture of electrical machinery and apparatus n.e.c. 032 Manufacture of radio, television and communication equipment and apparatus 033 Manufacture of medical, precision and optical instruments, watches and clocks 034 Manufacture of motor vehicles, trailers, and semi-trailers 035 Manufacture of other transport equipment 036 Manufacture of furniture; manufacturing n.e.c. 037 Recycling 040 Electricity, gas, steam, and hot-water supply 041 Collection, purification, and distribution of water 045 Construction 050 Sale, maintenance, and repair of motor vehicles and motorcycles; retail sale of automotive fuel 051 Wholesale trade and commission trade, except of motor vehicles and motorcycles 052 Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods 055 Hotels and restaurants 060 Land transport; transport via pipelines 061 Water transport 062 Air transport 063 Supporting and auxiliary transport activities; activities of travel agencies 064 Post and telecommunications 065 Financial intermediation, except insurance and pension funding 066 Insurance and pension funding, except compulsory social security 067 Activities auxiliary to financial intermediation 070 Real estate activities 071 Renting of machinery and equipment without operator and of personal and household goods 072 Computer and related activities 073 Research and development 074 Other business activities 075 Public administration and defense; compulsory social security 080 Education 085 Health and social work 090 Sewage and refuse disposal, sanitation, and similar activities 091 Activities and membership organizations n.e.c. 092 Recreational, cultural, and sporting activities 093 Other service activities 095 Private households with employed persons 099 Extra-territorial organizations and bodies 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Children currently alive <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="em">For women 12 years of age and older</span><br />[Applies to questions 20 -23]<br /></svar></p> <p><svar v="PE93A412" a="all">21. How many of your children are currently alive?<br /><div class="i1">____</div><br /></svar> <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="h3">For women 12 years of age and older</span><br />[Applies to questions 20 - 23]<br /></svar></p> <p><svar v="PE93A412" a="all"><span class="h3">Question No. 21: How many of your children are currently alive?</span><br />Read the question and, according to the person's response, record in the box, using digits, the number of children reported.<br />[There is a picture of question 21 in this section of the Enumeration Form.]<br />If the person reports that they don't currently have any children who are alive, then record "0" in the box.<br /><span class="em">Remember that</span>: You should take into account all of the children, whatever their age and sex may be, and whether they live with her [the mother] or not. Stepchildren and adopted children are not included in this question.<br /></svar> Peru 1993: Females age 12+, with children ever born [discrepancies: type I 0.3%; type II trace] This variable indicates a woman's number of children who are currently alive. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Maternal language or dialect <svar v="PE93A403 PE93A413 PE93A419 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="em"> For those 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A413" a="all">8. The mother tongue, language or dialect you learned as a child is:<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Quechua<br />[] 2 Aymara<br />[] 3 Other indigenous (native) language<br />[] 4 Spanish<br />[] 5 Foreign language</div><br /></svar> <svar v="PE93A403 PE93A419 PE93A413 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="h3">For people 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A413" a="all"><span class="h3">Question No. 8: The mother tongue, language or dialect you learned as a child is:</span><br />This refers to the native language or dialect that the person learned in their childhood, regardless of whether or not they currently speak it.<br />Read the question and each one of the alternatives. Then, circle the appropriate number.<br />[There is a picture of question 8 in this section of the Enumeration Form.]<br /></svar> Peru 1993: Persons age 5+ [discrepancies: none] This variable indicates the person's maternal language or dialect. 1 Quechua 2 Aymara 3 Other indigenous (native) language 4 Spanish 5 Foreign language 8 Respondent did not answer 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Physical disability <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person does not have a physical disability. 1 Yes 2 No Disability Variables -- PERSON Other disability <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person has another disability. 1 Yes 2 No Disability Variables -- PERSON Lower extremity loss or paralysis <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person has a lower extremity loss or paralysis. 1 Yes 2 No Disability Variables -- PERSON Upper extremity loss or paralysis <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person has an upper extremity loss or paralysis. 1 Yes 2 No Disability Variables -- PERSON Number of persons working in workplace <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="em">For those 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428"><span class="em">Questions 14 to 17 refer to last week, or to the last time employed.</span><br /></svar></p> <p><svar v="PE93A418" a="all">17. In your workplace, how many people work?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Fewer than 5 people<br />[] 2 Between 5 and 10 people<br />[] 3 More than 10 people</div><br /></svar> <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="h3">For people 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar> Peru 1993: Persons age 6+ with work or experienced and seeking work [discrepancies: none] This variable indicates the number of persons working in the workplace. 1 Fewer than five 2 Five to ten 3 More than ten 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Literacy <svar v="PE93A403 PE93A413 PE93A419 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="em"> For those 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A419" a="all">9. Are you able to read and write?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="PE93A403 PE93A419 PE93A413 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="h3">For people 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A419" a="all"><span class="h3">Question No. 9: Are you able to read and write?</span><br />Read the question and wait for the informant's answer.<br />[There is a picture of question 9 in this section of the Enumeration Form.]<br />If the person states that they know how to read and write in any language, put a circle around number 1 (Yes).<br />If the person only knows how to write their name and/or some numbers, then put a circle around number 2 (No).<br /></svar> Peru 1993: Persons age 5+ [discrepancies: none] This variable indicates whether the person reads and writes. 1 Yes, reads and writes 2 Neither reads nor writes 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Mother alive <svar v="PE93A420" a="all">6. Is your mother alive?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Yes<br />[] 2 No<br />[] 3 Do not know</div><br /></svar> <svar v="PE93A420" a="all"><span class="h3">Question No. 6: Is your mother alive?</span><br />Read the question. Wait for the informant's response and circle the corresponding number.<br />[There is a picture of question 6 in this section of the Enumeration Form.]<br /><span class="em">Remember that</span>:<br />The question refers to the existence of the biological mother, not the existence of an adoptive mother.<br />Remember that, beginning with the following question, information is requested from people 5 years of age and older.<br /></svar> Peru 1993: All persons This variable indicates whether the person's mother is alive. 1 Yes 2 No 8 Respondent did not know Fertility and Mortality Variables -- PERSON Month of birth of last child <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="em">For women 12 years of age and older</span><br />[Applies to questions 20 -23]<br /></svar></p> <p><svar v="PE93A402 PE93A421" a="all">22. In what month and year was your last live-born child born?<br /><div class="i1">_ _ Month<br />_ _ Year</div><br /></svar> <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="h3">For women 12 years of age and older</span><br />[Applies to questions 20 - 23]<br /></svar></p> <p><svar v="PE93A402 PE93A421" a="all"><span class="h3">Question No. 22: In what month and year was you last child (live birth) born?</span><br />Read the question. Wait for the informant's response and record in the corresponding boxes the number of the month and the last two digits of the year of birth of the last child born alive.<br />[There is a picture of question 22 in this section of the Enumeration Form.]<br />Use two digits to record the month and year.<br />Example: April of 1960<br /><div class="i1">Month: 04<br />Year: 60</div><br /><span class="em">Remember that</span>:<br />Stepchildren and adopted children are not included in this question.<br /></svar> Peru 1993: Females age 12+, with children ever born [discrepancies: type I 0.3%; type II none] This variable indicates the month of birth of a woman's last child. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Muteness <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person is mute. 1 Yes 2 No Disability Variables -- PERSON Total children born alive <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="em">For women 12 years of age and older</span><br />[Applies to questions 20 -23]<br /></svar></p> <p><svar v="PE93A423" a="all">20. How many live-born children have you had in total?<br /><div class="i1">____</div><br /><br /><div class="i1">If she hasn't had children, write 0 and conclude the interview with this person.</div><br /></svar> <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="h3">For women 12 years of age and older</span><br />[Applies to questions 20 - 23]<br /></svar></p> <p><svar v="PE93A423" a="all"><span class="h3">Question No. 20: How many children born alive have you had in total?</span><br />Read the question and wait for the response. Then, record in the box, using digits, the number of children reported.<br />[There is a picture of question 20 in this section of the Enumeration Form.]<br /><span class="em">Remember that</span>:<br /><div class="i1">A child born alive is considered to be a child that, upon being born, showed some sign of life, such as breathing, crying, or moving, even though they may have died shortly thereafter.<br />If the person reports that they haven't had children, record "0" in the box and conclude the interview with this person.<br />Stepchildren and adopted children are not included in this question.</div><br /></svar> Peru 1993: Females age 12+ [discrepancies: type I 0.3%; type II none] This variable indicates the total number of children born alive that a woman has. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity <svar v="PE93A424 PE93A429 PE93A439 PE93A440" a="all">4. In what district and province were you born?<br /><div class="i1">If born in the district of enumeration, circle number 1.<br /><br />[] 1 Born in this district</div><br /><br /><div class="i1">If born in another district or another country, specify their names in the appropriate blank.<br /><br />Name of the district ____<br />Name of the province or country ____</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A424 PE93A429 PE93A439 PE93A440" a="all"><span class="h3">Question No. 4: In what district and province were you born?</span><br />Read the question and wait for the informant's response.<br /><span class="pg">[p. 41]</span><br />[There is a picture of question 4 in this section of the Enumeration Form.]<br /><span class="em">Keep in mind that</span>:<br /><ul class="b1"> <li>If the person was born in the district being enumerated, just circle number 1, which corresponds to "Was born in this district".</li> <li>If the person reports being born in another district, specify the name of the district and the province on the appropriate line.</li> <li>If the person was born abroad, record only the name of the country on the line: Name of the province or country.</li> </ul><br /></svar> Peru 1993: All persons This variable indicates the person's nationality. 1 Foreign-born 2 Native-born 8 Unknown Nativity and Birthplace Variables -- PERSON Educational level <svar v="PE93A403 PE93A413 PE93A419 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="em"> For those 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A403 PE93A425" a="PE93A403">10. Do you or did you attend any educational institution of regular instruction?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Not currently attending, but did attend<br />[] 2 Currently attending<br />[] 3 Never attended - Skip to question 12</div><br /></svar></p> <p><svar v="PE93A425 PE93A426 PE93A427" a="all">11. What is the last year, grade of study, or level completed?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 0 No level<br />[] 1 Initial or preschool<br />[] 2 Primary<br />[] 3 Secondary<br />[] 4 Basic regular<br />[] 5 Basic vocational (craftsmanship)<br /><br />[Bracket around responses 2-5:] ____ Write the year or grade completed<br /><br />Higher non-university:</div><br /><div class="i2">[] 6 Incomplete<br />[] 7 Complete</div><br /><br /><div class="i1">Higher university:</div><br /><div class="i2">[] 8 Incomplete<br />[] 9 Complete</div><br /></svar> <svar v="PE93A403 PE93A419 PE93A413 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="h3">For people 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A425 PE93A426 PE93A427" a="all"><span class="h3">Question No. 11: What is the last year, grade of study or level that you completed?</span><br />This question is only for those who answered with option 1 or 2 in question 10.<br />Read the question. Wait for the informant's response. Then, circle the corresponding number.<br />[There is a picture of question 11 in this section of the Enumeration Form.]<br />If the informant reports having passed Primary, Secondary, Regular Basic, or Trade School Basic, in addition to circling the number that corresponds to that level, you should record the year or grade passed in the box at the right.<br />If the informant reports Superior (Non-University) or Superior (University, complete, or incomplete), circle the corresponding number.<br /><span class="em">Remember that</span>:<br /><div class="i1"><span class="ital">Initial or preschool</span>: includes day care (<span class="lang">nido</span>) and Kindergarten.<br /><span class="ital">Primary</span>: According to the current Educational System, it includes from 1st to 6th grade, whether for minors or adults.<br /><span class="ital">Secondary</span>: According to the current Educational System, it includes from 1st to 5th grade, whether for minors or adults.<br /><span class="ital">Regular basic (daytime)</span>: Includes from 1st to 9th grade of Regular Basic Education.<br /><span class="ital">Basic vocational (nighttime)</span>: Includes from 1st to 9th grade of Trade School Basic education.<br /><span class="ital">Higher (Non-University)</span>: This includes Normal Schools, Professional Education Superior Schools, Superior Technology Institutes, Armed Forces and National Police Non-Commissioned Officer Schools, and Business Administration Superior Schools.</div><br /><span class="pg">[p. 44]</span><br /><div class="i1">Superior (Non-University) will be considered completed when the person has finished the last cycle, grade, or year of the program that they studied. Otherwise, it will be considered incomplete.<br /><span class="ital">Higher (University)</span>: This includes universities, Armed Forces and National Police Officer schools, religious seminaries, the Superior Institute of Art of Peru, the National Pedagogical Institute, and the Diplomatic Academy of Peru.<br />Superior (University) will be considered completed when the person has finished the last cycle, grade, or year of the program that they studied. Otherwise, it will be considered incomplete.</div><br />Remember that, beginning with the next question, information is only requested for people 6 years of age and older.<br /></svar> Peru 1993: Persons age 5+, who attended or are attending an educational institution [discrepancies: type I none; type II trace] This variable indicates the person's educational level. 00 No level 01 Preschool 02 Primary 03 Secondary 04 Regular basic 05 Trade school basic 06 Superior (non-university) incomplete 07 Superior (non-university) complete 08 Superior (university) incomplete 09 Superior (university) complete 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Last year/grade completed of basic education <svar v="PE93A403 PE93A413 PE93A419 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="em"> For those 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A425 PE93A426 PE93A427" a="all">11. What is the last year, grade of study, or level completed?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 0 No level<br />[] 1 Initial or preschool<br />[] 2 Primary<br />[] 3 Secondary<br />[] 4 Basic regular<br />[] 5 Basic vocational (craftsmanship)<br /><br />[Bracket around responses 2-5:] ____ Write the year or grade completed<br /><br />Higher non-university:</div><br /><div class="i2">[] 6 Incomplete<br />[] 7 Complete</div><br /><br /><div class="i1">Higher university:</div><br /><div class="i2">[] 8 Incomplete<br />[] 9 Complete</div><br /></svar> <svar v="PE93A403 PE93A419 PE93A413 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="h3">For people 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A425 PE93A426 PE93A427" a="all"><span class="h3">Question No. 11: What is the last year, grade of study or level that you completed?</span><br />This question is only for those who answered with option 1 or 2 in question 10.<br />Read the question. Wait for the informant's response. Then, circle the corresponding number.<br />[There is a picture of question 11 in this section of the Enumeration Form.]<br />If the informant reports having passed Primary, Secondary, Regular Basic, or Trade School Basic, in addition to circling the number that corresponds to that level, you should record the year or grade passed in the box at the right.<br />If the informant reports Superior (Non-University) or Superior (University, complete, or incomplete), circle the corresponding number.<br /><span class="em">Remember that</span>:<br /><div class="i1"><span class="ital">Initial or preschool</span>: includes day care (<span class="lang">nido</span>) and Kindergarten.<br /><span class="ital">Primary</span>: According to the current Educational System, it includes from 1st to 6th grade, whether for minors or adults.<br /><span class="ital">Secondary</span>: According to the current Educational System, it includes from 1st to 5th grade, whether for minors or adults.<br /><span class="ital">Regular basic (daytime)</span>: Includes from 1st to 9th grade of Regular Basic Education.<br /><span class="ital">Basic vocational (nighttime)</span>: Includes from 1st to 9th grade of Trade School Basic education.<br /><span class="ital">Higher (Non-University)</span>: This includes Normal Schools, Professional Education Superior Schools, Superior Technology Institutes, Armed Forces and National Police Non-Commissioned Officer Schools, and Business Administration Superior Schools.</div><br /><span class="pg">[p. 44]</span><br /><div class="i1">Superior (Non-University) will be considered completed when the person has finished the last cycle, grade, or year of the program that they studied. Otherwise, it will be considered incomplete.<br /><span class="ital">Higher (University)</span>: This includes universities, Armed Forces and National Police Officer schools, religious seminaries, the Superior Institute of Art of Peru, the National Pedagogical Institute, and the Diplomatic Academy of Peru.<br />Superior (University) will be considered completed when the person has finished the last cycle, grade, or year of the program that they studied. Otherwise, it will be considered incomplete.</div><br />Remember that, beginning with the next question, information is only requested for people 6 years of age and older.<br /></svar> Peru 1993: Persons age 5+, whose highest educational level is basic education [discrepancies: type I trace; type II none] This variable indicates the person's last year/grade of basic education completed. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 99 NIU (not in universe) Education Variables -- PERSON Educational level completed <svar v="PE93A403 PE93A413 PE93A419 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="em"> For those 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A425 PE93A426 PE93A427" a="all">11. What is the last year, grade of study, or level completed?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 0 No level<br />[] 1 Initial or preschool<br />[] 2 Primary<br />[] 3 Secondary<br />[] 4 Basic regular<br />[] 5 Basic vocational (craftsmanship)<br /><br />[Bracket around responses 2-5:] ____ Write the year or grade completed<br /><br />Higher non-university:</div><br /><div class="i2">[] 6 Incomplete<br />[] 7 Complete</div><br /><br /><div class="i1">Higher university:</div><br /><div class="i2">[] 8 Incomplete<br />[] 9 Complete</div><br /></svar> <svar v="PE93A403 PE93A419 PE93A413 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="h3">For people 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A425 PE93A426 PE93A427" a="all"><span class="h3">Question No. 11: What is the last year, grade of study or level that you completed?</span><br />This question is only for those who answered with option 1 or 2 in question 10.<br />Read the question. Wait for the informant's response. Then, circle the corresponding number.<br />[There is a picture of question 11 in this section of the Enumeration Form.]<br />If the informant reports having passed Primary, Secondary, Regular Basic, or Trade School Basic, in addition to circling the number that corresponds to that level, you should record the year or grade passed in the box at the right.<br />If the informant reports Superior (Non-University) or Superior (University, complete, or incomplete), circle the corresponding number.<br /><span class="em">Remember that</span>:<br /><div class="i1"><span class="ital">Initial or preschool</span>: includes day care (<span class="lang">nido</span>) and Kindergarten.<br /><span class="ital">Primary</span>: According to the current Educational System, it includes from 1st to 6th grade, whether for minors or adults.<br /><span class="ital">Secondary</span>: According to the current Educational System, it includes from 1st to 5th grade, whether for minors or adults.<br /><span class="ital">Regular basic (daytime)</span>: Includes from 1st to 9th grade of Regular Basic Education.<br /><span class="ital">Basic vocational (nighttime)</span>: Includes from 1st to 9th grade of Trade School Basic education.<br /><span class="ital">Higher (Non-University)</span>: This includes Normal Schools, Professional Education Superior Schools, Superior Technology Institutes, Armed Forces and National Police Non-Commissioned Officer Schools, and Business Administration Superior Schools.</div><br /><span class="pg">[p. 44]</span><br /><div class="i1">Superior (Non-University) will be considered completed when the person has finished the last cycle, grade, or year of the program that they studied. Otherwise, it will be considered incomplete.<br /><span class="ital">Higher (University)</span>: This includes universities, Armed Forces and National Police Officer schools, religious seminaries, the Superior Institute of Art of Peru, the National Pedagogical Institute, and the Diplomatic Academy of Peru.<br />Superior (University) will be considered completed when the person has finished the last cycle, grade, or year of the program that they studied. Otherwise, it will be considered incomplete.</div><br />Remember that, beginning with the next question, information is only requested for people 6 years of age and older.<br /></svar> Peru 1993: Persons age 5+, who attended or are attending an educational institution [discrepancies: type I none; type II trace] This variable indicates the person's educational level completed. 011 No level 111 Preschool 201 Primary, 1st year 202 Primary, 2nd year 203 Primary, 3rd year 204 Primary, 4th year 205 Primary, 5th year 206 Primary, 6th year 301 Secondary, 1st year 302 Secondary, 2nd year 303 Secondary, 3rd year 304 Secondary, 4th year 305 Secondary, 5th year 306 Secondary, 6th year 401 Regular basic, 1st year 402 Regular basic, 2nd year 403 Regular basic, 3rd year 404 Regular basic, 4th year 405 Regular basic, 5th year 406 Regular basic, 6th year 407 Regular basic, 7th year 408 Regular basic, 8th year 409 Regular basic, 9th year 501 Trade school basic, 1st year 502 Trade school basic, 2nd year 503 Trade school basic, 3rd year 504 Trade school basic, 4th year 505 Trade school basic, 5th year 506 Trade school basic, 6th year 507 Trade school basic, 7th year 508 Trade school basic, 8th or 9th year 611 Superior (non-university) incomplete 711 Superior (non-university) complete 811 Superior (university) incomplete 911 Superior (university) complete 998 Unknown 999 NIU (not in universe) Education Variables -- PERSON Occupation (3 digits) <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="em">For those 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428"><span class="em">Questions 14 to 17 refer to last week, or to the last time employed.</span><br /></svar></p> <p><svar v="PE93A410 PE93A411 PE93A428" a="all">14. What is the main occupation that you performed?<br /><div class="i1">Examples: dentist, lawyer, agricultural laborer, food sales in the street, etc.</div><br /><br /><div class="i1">Specify____</div><br /></svar> <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="h3">For people 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A428"><span class="h3">Questions 14 to 17 refer to last week, or to the last time employed.</span><br /></svar></p> <p><svar v="PE93A410 PE93A411 PE93A428" a="all"><span class="h3">Question no. 14: What is the main occupation that you performed?</span><br />Read the question. Wait for an answer and then record the specific name of the main occupation that the person performed last week or the last time that they worked.<br />[There is a picture of question 14 in this section of the Enumeration Form.]<br />Below are some examples that allow you to see the correct form for making the notations.<br /><span class="pg">[p. 47]</span><br /><br /><table align="center" border="1" cellpadding="2" cellspacing="0" width="90%"> <col width="20%"> <col width="80%"> <tr> <th>Incorrect notation</th> <th>Correct notation</th> </tr> <tr> <td>Professional</td> <td>Mining engineer, agricultural engineer, medical surgeon, dental surgeon, pharmacist, attorney, economist, psychologist, primary school teacher, secondary school teacher, public accountant, sociologist, etc.</td> </tr> <tr> <td>Office worker</td> <td>Typist, secretary, office assistant, project manager, general director, personnel director, office manager, general manager, administrator, cashier, etc.</td> </tr> <tr> <td>Business person</td> <td>Wholesale grocery dealer, retail grocery dealer, domestic appliances dealer, street vendor of clothing, street vendor of fruit, etc.</td> </tr> <tr> <td>Manual laborer</td> <td>Baker, restaurant cook, welder, lathe operator, blacksmith, tractor operator, unskilled farm worker, shepherd, etc.</td> </tr> <tr> <td>Domestic employee</td> <td>Cook, housekeeper, butler, nanny, etc.</td> </tr> <tr> <td>Military</td> <td>Sergeant in the Peruvian National Police, colonel in the Peruvian Army, lieutenant commander, etc.</td> </tr> </table><br />Keep the following in mind:<br /><div class="i1">If the informant has two or more occupations, you will record the one that provides the greatest income. If they provide the same income, you will record the one that the informant devotes more time to. If they provide the same income and the informant devotes the same amount of time, you will record the one that the informant considers to be more important.<br />If the informant is an attorney, agricultural engineer, etc. by profession and works, for example, as a Director of personnel, you will record Director of personnel.</div><br /></svar> Peru 1993: Persons age 6+ with work or experienced and seeking work [discrepancies: none] This variable indicates the person's occupation (3-digit). 011 Army officer 012 Army technician 013 Army lower level officers 014 Military service personnel 015 Non-specified military personnel 021 Police officer 022 Police technician 023 Police lower level officers 024 Non-specified police personnel 111 Legislators 112 Senior government officials 113 Traditional chiefs and heads of villages 116 Senior officials of humanitarian and other special-interest organizations 121 Directors and chief executives in agriculture, hunting, forestry, and fishing 122 Directors and chief executives in manufacturing 123 Directors and chief executives in construction 124 Directors and chief executives in wholesale and retail trade 125 Directors and chief executives in restaurants and hotels 126 Directors and chief executives transport, storage, and communications 127 Directors and chief executives in public utilities 129 Production and operations department managers in manufacturing 135 Production and operations department managers in public utilities 136 President, Director and Deans at Universities 137 Finance and administration department managers 138 Personnel and industrial relations department managers 139 Sales and marketing department managers 141 General managers in agriculture, hunting, forestry, and fishing 142 General managers in manufacturing and mining 143 General managers in construction and public works 144 General managers of wholesale and retail trade 145 General managers and business administrators not specified 146 General managers of restaurants and hotels 147 General managers in transport, storage, and communications 148 General managers in services businesses 199 Legislators, senior officials and managers, not elsewhere classified 213 Chemists 214 Geologists, geophysicists, and oceanographers 216 Statisticians and demographers 217 Computing professionals 218 Architects, town, and traffic planners 219 Civil engineers 221 Electrical engineers and electronics and telecommunications engineers 222 Mechanical engineers 223 Chemical engineers 224 Metallurgists 225 Mining engineers 226 Surveyors, cartographers, and topographers 227 Industrial engineer 228 Fishing engineer 229 Other engineers not specified 231 Biologists, botanists, zoologists, and related professionals 232 Pharmacologists, pathologists, and related professionals 233 Dieticians and nutritionists 234 Agronomists and related professionals 235 Medical doctors and related professionals (except nursing personnel) 236 Dentists (surgeon) 237 Veterinarians 238 Pharmacists 239 Nursing personnel with higher education diploma 241 University, Professional School, and other higher education centers teaching professionals 242 Secondary education teaching professionals 243 Primary education teaching professionals 244 Pre-primary education teaching professionals 245 Special education teaching professionals 246 Trade schools teaching professionals 247 Other teaching professionals not elsewhere classified 248 Teaching professionals, not specified 251 Accountants 252 Business administrators (professional) 253 Personnel and careers professionals 254 Lawyers 255 Judges 256 Prosecutors 257 Public notaries 258 Other workers and interns in law 259 Archivists and curators 261 Librarians and related information professionals 262 Economists and planning professionals 263 Sociologists, anthropologists, historians, archaeologists, and related professionals 266 Editors, authors, and journalists 267 Philologists, translators, and interpreters 268 Psychologists 269 Social work professionals 271 Sculptors, painters, and related artists 272 Composers, musicians, and singers 273 Choreographers and dancers 274 Film, stage, and related actors and directors 281 Specialists in tourism and hotel management 282 Public and industrial relations specialists 283 Diplomats 284 Religious professionals 299 Professionals, scientists and intellectuals, not elsewhere classified 311 Chemical and physical science technicians 312 Civil engineering, cartography, and topography technicians 313 Electricity, electronics, and telecommunications technicians 314 Mechanical engineering and mechanical construction engineering technicians 315 Industrial chemistry technicians 316 Mining and metallurgical technicians 317 Draughtspersons 318 Industrial engineering and other engineering technicians 319 Statistics, mathematics, and computer programming technicians 321 Computer equipment control operators 322 Photographers and image and sound recording equipment operators 323 Broadcasting and telecommunications equipment operators 331 Machine navigation officers (river navigation) 332 Captains, ships' deck officers, and pilots 333 Aircraft pilots and related associate professionals 334 Air traffic controllers 335 Building and fire inspectors 341 Life science technicians 342 Agronomy, zoology, and forestry technicians 343 Medical assistants and interns 344 Sanitarians 345 Dietician-, nutritionist-, and bromatologist-technicians 346 Optometrists and opticians 347 Dental assistants 348 Physiotherapists and related associate professionals 349 Veterinary assistants 351 Pharmaceutical assistants 352 Nursing personnel of intermediate level (technicians) 354 Traditional medicine practitioners 355 Radiology and other medical technicians 356 Health and laboratory technicians 361 Sales chief, wholesale trade 362 Sales chief, retail trade 363 Sales chief, trade not specified 364 Administration technicians 365 Economics technicians 366 Accounting technicians 367 Social sciences technicians 371 Securities and finance dealers and brokers 372 Insurance representatives 373 Estate agents 374 Travel consultants and organizers 375 Technical and commercial sales representatives 376 Buyers, appraisers, valuers, and auctioneers 377 Customs, taxes, storage, and related services agents 378 Service sales agents 379 Employment agents and labor contractors 381 Legal and related business associate professionals 382 Government tax and excise officials 383 Government social benefits officials 391 Decorators and commercial designers 392 Radio, television, and other announcers 393 Clowns, magicians, acrobats, and related professionals 394 Athletes, sportspersons, and related professionals 395 Religious associate professionals 399 Technicians and associate professionals, not elsewhere classified 411 Administrative employees chief 412 Registry employees 413 Secretaries, stenographers, and typists 414 Word-processor and related operators 415 Data entry operators 416 Calculating-machine operators 417 Data management machine operators 418 Accounting and bookkeeping clerks 419 Statistical and finance clerks 421 Stock clerks 422 Production clerks 423 Administrative services clerks 431 Train station chief 432 Train transport services chief 433 Highway transport services chief 436 Transport services employees 441 Communication services and mail office chiefs 442 Library and filing clerks 443 Mail carriers and sorting clerks 444 Coding, proof-reading, and related clerks 451 Cashiers and ticket clerks 452 Pawnbrokers and money-lenders 453 Debt-collectors and related workers 454 Travel agency and related clerks 455 Telephone operators 461 Employees in fieldwork operation office 462 Other clerks 499 Office chiefs and clerks, not elsewhere classified 511 Waiters and waitresses 512 Travel guides 521 Housekeepers and related workers 522 Cooks 523 Bartender and related workers 531 Nursing personnel not classified elsewhere 541 Hairdressers, barbers, beauticians, and related workers 551 Undertakers and embalmers 552 Fashion and other models 561 Fire-fighters 562 Municipal Police officers 563 Prison guards 564 Protective services workers not elsewhere classified 571 Wholesale trade salesperson 572 Retail trade salesperson (no street vending) 573 Demonstrator 574 Market salesperson (no street vending) 575 Salespersons and other trade employees, not specified 581 Commission salespersons 582 Gold and silver traders 583 Trade not specified 599 Service and sales workers, not elsewhere classified 611 Field crop and animal producer chiefs 612 Agricultural and skilled workers, not specified 615 Mixed-crop growers 616 Forestry workers and loggers 621 Livestock producers 622 Dairy producers 623 Poultry producers 624 Apiarists and sericulturists 625 Market-oriented animal producers and related workers, not elsewhere classified 626 Skilled forestry related workers 631 Aquatic-life cultivation workers 632 Inland and coastal waters fishery workers 633 Deep-sea fishery workers 635 Crustacean and shellfish cultivators or collectors 636 Other fishery workers 641 Livestock and agriculture workers 699 Agricultural and fishery workers, not elsewhere classified 711 Miners and quarry workers 712 Well drillers and borers and related workers 713 Ore and metal furnace operators 714 Rolling-mill operators 715 Metal melters 718 Metal-heat-treating-plant operators 719 Metallurgy operators not classified elsewhere 721 Wood treaters 722 Sawmill operator, plywood machine operator, and related workers 724 Papermaking-plant operators 731 Crushing-, grinding-, and chemical-mixing-machinery operators 732 Chemical-heat-treating-plant operators 733 Chemical-filtering- and separating-equipment operators 735 Petroleum- and natural-gas-refining-plant operators 737 Chemical-processing-plant operators, not elsewhere classified 741 Fiber preparers 742 Spin and reel workers 743 Loom adjusting and weaving cardboard preparing workers 744 Hand weavers in loom 745 Machine weavers, control, and repairing workers 746 Machine knitters 747 Hand knitters 748 Bleachers, dyers, and finishing textile production workers 749 Spin workers, weavers, dyers, and related workers 751 Pelt dressers, tanners and fellmongers 752 Pelt preparation workers 761 Mill and related workers 762 Sugar production and refinement workers 763 Butchers, fishmongers, and related food preparers 764 Food preserving laborer 765 Dairy-products laborer 766 Bakers, pastry-cooks, and confectionery makers 767 Brewers, wine, and other beverage production workers 768 Food and beverage production laborer, not elsewhere classified 769 Tobacco preparers and tobacco products laborers 771 Tailors and dressmakers 772 Furriers, sewers, embroiderers, and related workers 773 Hatter 774 Textile, leather, and related pattern-makers and cutters 775 Upholsterers and related workers 776 Leather treatment laborers 777 Shoe-makers and related laborers 778 Cabinet makers, woodworking machine setters, setter-operators, and related workers 779 Tailor, dressmaking, furrier, leather, and shoe-making laborers 781 Carving metal laborers (blacksmiths, hammer-smiths, forging-press, fitters, and metal polishers) 782 Motor vehicle mechanics 783 Electrical mechanics and fitters, electronics fitters 784 Broadcasting and telecommunications operators 785 Plumbers and pipe fitters, welders and flamecutters, sheet metal workers, and structural-metal preparers and erectors 791 Fitters, structural-metal preparers, and erectors of machinery and instruments 792 Jewelry and precious-metal workers 793 Glass makers, cutters, grinders, and finishers 794 Abrasive wheel formers, potters, and related workers 795 Adobe and brick making workers 796 Glass and ceramics kiln and related machine operators 797 Glass engravers and etchers 798 Glass, ceramics, and related decorative painters 799 Other glass workers 811 Rubber production laborers, except tires 812 Plastic production laborers 813 Tires production and vulcanization laborers 821 Paper and cardboard product designers 831 Compositors, typesetters and related workers 832 Printing-machine operators 833 Stereotypers and electrotypers 834 Printing engravers 835 Etchers 836 Bookbinders and related workers 837 Photographic and related workers 839 Printing and related trades workers not classified elsewhere 841 Musical instrument makers and tuners 842 Basketry weavers, brush makers, and related workers 843 Mineral-derived products fabrication laborers 844 Other manufacturing laborers and related laborers 851 Painters and related workers 852 Painters not elsewhere classified 861 Bricklayers and stonemasons 862 Concrete placers, concrete finishers, and related workers 864 Floor layers and tile setters 865 Plasterers 867 Glaziers 868 Building frame and related trades laborers, not elsewhere classified 871 Power-production plant operators 872 Farm and forestry plant operators 873 Fixed and similar machinery operators 875 Crane, hoist and related plant drivers 876 Earth-moving- and related plant operators 877 Merchandise and materials handling laborers 881 Boatswain, ships' deck crews and related workers 882 Engine room ships' crews 883 Locomotive-engine drivers 884 Merchandise train chief, railway brakers, signalers, and shunters 885 Motor vehicle drivers 886 Crane, hoist, and related plant operators 899 Construction laborers and operators, not elsewhere classified 911 Street agricultural products vendors 912 Street food products vendors 913 Street agricultural products vendors 914 Street fishery and hunting products vendors 915 Street vendor of live animals and livestock products 916 Street vendor of pharmaceutical products and medicinal plants 917 Street vendor of manufactured food products 918 Street vendor of beverages, tobacco and related products 919 Street vendor of bathroom and house hygiene products 921 Street vendor of oil, lubricants and related products 922 Street vendor of fabrics, cloths and related products 923 Street vendor of housekeeping products 924 Street vendor of newspapers, magazines, books, and office supplies 925 Street vendor of art and luxury products 926 Street vendor of sporting goods and toys 927 Street vendor not elsewhere classified 931 Collectors and salespersons of transportation and related services 941 Domestic helpers and cleaners 942 Helpers and cleaners in offices, hotels, and other establishments 943 Building caretakers 944 Shoe cleaning and other street services elementary occupations 945 Services personnel not elsewhere classified 951 Messengers, package and luggage porters and deliverers 952 Doorkeepers, watchpersons, and related workers 961 Garbage collectors 971 Farm-hands and laborers 972 Forestry laborers 973 Fishery, hunting, and trapping laborers 981 Mining and quarrying laborers 982 Construction and maintenance laborers: roads, dams and similar constructions 983 Building construction laborers 984 Assembling laborers, hand packers, and other manufacturing laborers 985 Hand or pedal vehicle drivers 986 Drivers of animal-drawn vehicles and machinery 987 Freight handlers 990 Other occupation, not elsewhere classified 997 Respondent did not answer 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Country of birth <svar v="PE93A424 PE93A429 PE93A439 PE93A440" a="all">4. In what district and province were you born?<br /><div class="i1">If born in the district of enumeration, circle number 1.<br /><br />[] 1 Born in this district</div><br /><br /><div class="i1">If born in another district or another country, specify their names in the appropriate blank.<br /><br />Name of the district ____<br />Name of the province or country ____</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A424 PE93A429 PE93A439 PE93A440" a="all"><span class="h3">Question No. 4: In what district and province were you born?</span><br />Read the question and wait for the informant's response.<br /><span class="pg">[p. 41]</span><br />[There is a picture of question 4 in this section of the Enumeration Form.]<br /><span class="em">Keep in mind that</span>:<br /><ul class="b1"> <li>If the person was born in the district being enumerated, just circle number 1, which corresponds to "Was born in this district".</li> <li>If the person reports being born in another district, specify the name of the district and the province on the appropriate line.</li> <li>If the person was born abroad, record only the name of the country on the line: Name of the province or country.</li> </ul><br /></svar> Peru 1993: Persons born abroad [discrepancies: none] This variable indicates the person's country of birth. 3099 African countries 4002 Argentina 4006 Bolivia 4007 Brazil 4008 Canada 4009 Chile 4010 Colombia 4012 Cuba 4014 Ecuador 4016 United States 4024 Mexico 4027 Paraguay 4036 Uruguay 4037 Venezuela 4099 Other American countries 5008 People's Republic of China 5010 South Korea 5019 Israel 5020 Japan 5099 Other Asian countries 6002 Germany 6004 Austria 6005 Belgium 6009 Spain 6011 France 6016 Italy 6025 United Kingdom 6026 Romania 6029 Switzerland 6038 Russia 6044 Yugoslavia 6099 Other European countries 8000 Other countries 9998 Respondent did not answer 9999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Country of residence in 1988 <svar v="PE93A403 PE93A413 PE93A419 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="em"> For those 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A430 PE93A441" a="all">7. In what district and province did you usually live in July, 1988?<br /><div class="i1">If living in the district of enumeration, circle number 1.<br /><br />[] 1 Lived in this district</div><br /><br /><div class="i1">If living in another district or another country, specify their names in the appropriate blank.<br /><br />Name of the district____<br />Name of the province or country____</div><br /></svar> <svar v="PE93A403 PE93A419 PE93A413 PE93A425 PE93A426 PE93A427 PE93A430 PE93A441"><span class="h3">For people 5 years of age and older</span><br />[Applies to questions 7 - 11]<br /></svar></p> <p><svar v="PE93A430 PE93A441" a="all"><span class="h3">Question No. 7: In what district and province did you usually live in July, 1988?</span><br />Read the question and wait for the informant's answer.<br />[There is a picture of question 7 in this section of the Enumeration Form.]<br /><span class="em">Remember that</span>:<br /><ul class="b1"> <li>If the person was living in the district being enumerated, just circle number 1, which corresponds to "Was living in this district".</li> <li>If the person states that they were living in another district, specify the name of the district and the province on the corresponding lines.</li> <li>If the person was living abroad, record just the name of the country on the line: Name of the province or country.</li> </ul><br /></svar> Peru 1993: Persons age 5+ living abroad in 1988 [discrepancies: none] This variable indicates the person's country of residence in 1988. 3099 African countries 4002 Argentina 4006 Bolivia 4007 Brazil 4008 Canada 4009 Chile 4010 Colombia 4014 Ecuador 4016 United States 4024 Mexico 4026 Panama 4037 Venezuela 4099 Other American countries 5008 People's Republic of China 5010 South Korea 5020 Japan 5099 Other Asian countries 6002 Germany 6005 Belgium 6009 Spain 6011 France 6016 Italy 6025 United Kingdom 6029 Switzerland 6038 Russia 6099 Other European countries 8000 Other countries 9998 Respondent did not answer 9999 NIU (not in universe) Migration: Global Variables -- PERSON Relationship to head <svar v="PE93A431" a="all">1. What relationship do you have with the head of household?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Head<br />[] 2 Spouse/partner<br />[] 3 Son/daughter<br />[] 4 Son-in-law/daughter-in-law<br />[] 5 Grandchild<br />[] 6 Parents/parents-in-law<br />[] 7 Other relatives<br />[] 8 Household workers<br />[] 9 Boarders<br />[] 0 Other non-relative</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A431" a="all"><span class="h3">Question No. 1: What family or other relationship do you have with the head of household?</span><br />Read the question. Wait for the informant's response and then circle the number that corresponds to the response.<br />[There is a picture of question 1 in this section of the Enumeration Form.]<br />Take into account the following definitions:<br /><span class="ital">Head of household</span>: Is the person, man or woman, that the members of the household consider as such or who supports the household (principal supporter).<br />The Head of household will answer the questions for those younger than 12 and the disabled. If the head is absent, his wife or the oldest son can answer the questions.<br /></svar> Peru 1993: All persons This variable indicates the person's relationship to the head of household. 01 Head 02 Spouse/partner 03 Son/daughter 04 Son-in-law/daughter-in-law 05 Grandson/granddaughter 06 Parents/parents-in-law 07 Other relative 08 Household worker 09 Boarders 10 Other non-relative 11 Person in a collective dwelling Demographic Variables -- PERSON Polio <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person has polio. 1 Yes, has 2 Doesn't have Disability Variables -- PERSON Religion <svar v="PE93A408 PE93A434"><span class="em">For those 12 years of age and older</span><br />[Applies to questions 18 -19]<br /></svar></p> <p><svar v="PE93A434" a="all">19. What is your religion?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Evangelical Christian<br />[] 2 Catholic<br />[] 3 Other (specify) ____<br />[] 4 None</div><br /></svar> <svar v="PE93A408 PE93A434"><span class="h3">For people 12 years of age and older</span><br />[Applies to questions 18 -19]<br /></svar></p> <p><svar v="PE93A434" a="all"><span class="h3">Question No. 19: What is your religion?</span><br />Read the question and, depending on the response, circle the corresponding number.<br />[There is a picture of question 19 in this section of the Enumeration Form.]<br /><span class="em">Remember the following</span>:<br /><div class="i1">If the person reports another religion, circle the number 3 and on the line "specify", record the name of the religion.<br />If the person reports not having any religion, circle the number 4.</div><br /></svar> Peru 1993: Persons age 12+ [discrepancies: none] This variable indicates the person's religion. 1 Evangelical Christian 2 Catholic 3 Other 4 None 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Mental retardation <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person has mental retardation. 1 Yes 2 No Disability Variables -- PERSON Sex <svar v="PE93A436" a="all">2. Sex<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Male<br />[] 2 Female</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A436" a="all"><span class="h3">Question No. 2: Sex</span><br />Circle the number that corresponds to the sex of the person being enumerated.<br />[There is a picture of question 2 in this section of the Enumeration Form.]<br /></svar> Peru 1993: All persons This variable indicates the person's sex. 1 Male 2 Female Demographic Variables -- PERSON Employment situation <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="em">For those 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A437" a="all">13. Last week, you were:<br /><div class="i1">("Last week" is the week prior to the census day.)<br />Circle the appropriate number:<br /><br />[] 1 Working for an income<br />[] 2 Did not work but had a job<br />[] 3 Helping a relative without any payment<br />[] 4 Looking for a job, having worked before<br />[] 5 Looking for work for the first time<br />[] 6 Taking care of your home and not working<br />[] 7 Studying and not working<br />[] 8 Living from a pension or retirement and not working<br />[] 9 Living from investment income and not working<br />[] 0 Other, specify ____ (child, elderly, recruit, disabled, etc.)</div><br /></svar> <svar v="PE93A400 PE93A404 PE93A409 PE93A410 PE93A411 PE93A418 PE93A428 PE93A433 PE93A437"><span class="h3">For people 6 years of age and older</span><br />[Applies to question 12 - 17]<br /></svar></p> <p><svar v="PE93A437" a="all"><span class="h3">Question No. 13: Last week you were:</span><br />Read the question and each one of the options until you get an affirmative response. Then, circle the corresponding number.<br />[There is a picture of question 13 in this section of the Enumeration Form.]<br />If you circled the number 1, 2, 3 or 4, continue with questions 14 and up.<br />If you circled the number 5, 6, 7, 8, 9 or 0, continue with question 18, but only if the person is 12 years of age or older. If the person is younger than 12, end the interview for this person.<br />If the person is a minor, elderly, invalid, recruit, etc., circle the number 0 "Other" and specify [their status] on the respective line.<br /><span class="em">Remember what is understood by</span> <span class="ital">Last week</span>: The week prior to the day of the Census and includes from Sunday to Saturday.<br /><div class="i1"><span class="ital">Working for some income?</span>: If, in the week prior to the day of the Census, the person worked at least 15 hours or more for a salary, wage, or on their own.<br /><span class="ital">Did you not work but had a job?</span>: If, in the week prior to the day of the Census, the person had a job but didn't work because they were on vacation, were sick, on strike, etc.<br /><span class="ital">Helping a relative without any payment?</span>: If, in the week prior to the day of the Census, the person was working in a family member's business but without receiving any payment.<br /><span class="ital">Looking for work, having worked before?</span>: If, in the week prior to the day of the Census, because of having been let go, having quit, or having finished a prior job, the person applied for work or asked relatives, friends, or others about work opportunities.</div><br /><span class="pg">[p. 46]</span><br /><div class="i1"><span class="ital">Looking for work for the first time?</span>: If, in the week prior to the day of the Census, the person looked for work for the first time. That is, the person has never worked and is looking for work whether by applying or asking friends, relatives, or others.<br /><span class="ital">Were you taking care of your home and didn't work?</span>: If, in the week prior to the day of the Census, the person was just taking care of their household, without performing any compensated work.<br /><span class="ital">Studying and you didn't work?</span>: If, the week prior to the day of the Census, the person was studying and didn't perform any compensated work.<br /><span class="ital">Were you living off of your pension or retirement and didn't work?</span>: When the person receives an allocation from the State or a private entity without performing any compensated work.<br /><span class="ital">Were you living off of your investments and didn't work?</span>: When the person receives income or dividends from their goods (dwellings) and/or capital, without performing any compensated work.<br /><span class="ital">Other?</span>: Include minors, recruits, the elderly, cloistered nuns, disabled people, etc.</div><br /></svar> Peru 1993: Persons age 6+ [discrepancies: none] This variable indicates the person's employment situation. 01 Working for income 02 Did not work but had a job 03 Helping a relative without any payment 04 Looking for a job, having worked before 05 Looking for work for the first time 06 Taking care of your home and not working 07 Studying and not working 08 Living from a pension or retirement and not working 09 Living from investment income and not working 10 Other 99 NIU (not in universe) Work Variables -- PERSON Total deafness <svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all">5. Do you have any of the following disabilities?<br /><div class="i1">Circle one or more numbers, as appropriate:<br /><br />[] 1 Total blindness<br />[] 2 Total deafness<br />[] 3 Muteness<br />[] 4 Mental retardation<br />[] 5 Mental illness<br />[] 6 Polio<br />[] 7 Loss or paralysis of upper extremity<br />[] 8 Loss or paralysis of lower extremity<br />[] 9 Other (specify) ____<br />[] 0 No disability</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A401 PE93A405 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A432 PE93A435 PE93A438" a="all"><span class="h3">Question No. 5: Do you have any of the following disabilities:</span><br />Read the question and each one of the options. Then, circle one or more numbers, based on the informant's answers.<br />[There is a picture of question 5 in this section of the Enumeration Form.]<br />If the informant reports having a physical handicap that is not included in any of the alternatives, you should circle number 9 (Other) and write it on the corresponding line.<br />If the informant reports not having any handicap, circle number 0.<br /></svar> Peru 1993: All persons This variable indicates whether the person is completely deaf. 1 Yes 2 No Disability Variables -- PERSON Province of birth <svar v="PE93A424 PE93A429 PE93A439 PE93A440" a="all">4. In what district and province were you born?<br /><div class="i1">If born in the district of enumeration, circle number 1.<br /><br />[] 1 Born in this district</div><br /><br /><div class="i1">If born in another district or another country, specify their names in the appropriate blank.<br /><br />Name of the district ____<br />Name of the province or country ____</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A424 PE93A429 PE93A439 PE93A440" a="all"><span class="h3">Question No. 4: In what district and province were you born?</span><br />Read the question and wait for the informant's response.<br /><span class="pg">[p. 41]</span><br />[There is a picture of question 4 in this section of the Enumeration Form.]<br /><span class="em">Keep in mind that</span>:<br /><ul class="b1"> <li>If the person was born in the district being enumerated, just circle number 1, which corresponds to "Was born in this district".</li> <li>If the person reports being born in another district, specify the name of the district and the province on the appropriate line.</li> <li>If the person was born abroad, record only the name of the country on the line: Name of the province or country.</li> </ul><br /></svar> Peru 1993: Persons born in Peru [discrepancies: none] This variable indicates the person's province of birth. 0101 Chachapoyas 0102 Bagua 0103 Bongara 0104 Condorcanqui 0105 Luya 0106 Rodriguez De Mendoza 0107 Utcubamba 0201 Huaraz 0202 Aija 0203 Antonio Raymondi 0204 Asuncion 0205 Bolognesi 0206 Carhuaz 0207 Carlos F. Fitzcarrald 0208 Casma 0209 Corongo 0210 Huari 0211 Huarmey 0212 Huaylas 0213 Mariscal Luzurriaga 0214 Ocros 0215 Pallasca 0216 Pomabamba 0217 Recuay 0218 Santa 0219 Sihuas 0220 Yungay 0301 Abancay 0302 Andahuaylas 0303 Antabamba 0304 Aymaraes 0305 Cotabambas 0306 Chincheros 0307 Grau 0401 Arequipa 0402 Camana 0403 Caraveli 0404 Castilla 0405 Caylloma 0406 Condesuyos 0407 Islay 0408 La Union 0499 Department of Arequipa, province not specified 0501 Huamanga 0502 Cangallo 0503 Huanca Sancos 0504 Huanta 0505 La Mar 0506 Lucanas 0507 Parinacochas 0508 Paucar Del Sara Sara 0509 Sucre 0510 Victor Fajardo 0511 Vilcashuaman 0601 Cajamarca 0602 Cajabamba 0603 Celendin 0604 Chota 0605 Contumaza 0606 Cutervo 0607 Hualgayoc 0608 Jaen 0609 San Ignacio 0610 San Marcos 0611 San Miguel 0612 San Pablo 0613 Santa Cruz 0701 Callao 0801 Cusco 0802 Acomaya 0803 Anta 0804 Calca 0805 Canas 0806 Canchis 0807 Chumbivilcas 0808 Espinar 0809 La Convencion 0810 Paruro 0811 Paucartambo 0812 Quispicanchis 0813 Urubamba 0901 Huancavelica 0902 Acobamba 0903 Angaraes 0904 Castrovirreyna 0905 Churcampa 0906 Huaytara 0907 Tayacaja 1001 Huanuco 1002 Ambo 1003 Dos De Mayo 1004 Huacaybamba 1005 Huamalies 1006 Leoncio Prado 1007 Marañon 1008 Pachitea 1009 Puerto Inca 1101 Ica 1102 Chincha 1103 Nazca 1104 Palpa 1105 Pisco 1201 Huancayo 1202 Concepcion 1203 Chanchamayo 1204 Jauja 1205 Junin 1206 Satipo 1207 Tarma 1208 Yauli 1301 Trujillo 1302 Ascope 1303 Bolivar 1304 Chepen 1305 Julcan 1306 Otuzco 1307 Pacasmayo 1308 Pataz 1309 Sanchez Carrion 1310 Santiago De Chuco 1399 Department of La Libertad, province not specified 1401 Chiclayo 1402 Ferreñafe 1403 Lambayeque 1501 Lima 1502 Barranca 1503 Cajatambo 1504 Canta 1505 Cañete 1506 Huaral 1507 Huarochiri 1508 Huaura 1509 Oyon 1510 Yauyos 1599 Department of Lima, province not specified 1601 Maynas 1602 Alto Amazonas 1603 Loreto 1604 Mariscal Ramon Castilla 1605 Requena 1606 Ucayali 1699 Department of Loreto, province not specified 1701 Tambopata 1702 Manu 1703 Tahuamanu 1801 Mariscal Nieto 1802 Gral. Sanchez Cerro 1803 Ilo 1901 Pasco 1902 Daniel Alcides Carrion 1903 Oxapampa 2001 Piura 2002 Ayabaca 2003 Huancabamba 2004 Morropon 2005 Paita 2006 Sullana 2007 Talara 2101 Puno 2102 Azangaro 2103 Carabaya 2104 Chucuito 2105 El Collao 2106 Huancane 2107 Lampa 2108 Melgar 2109 Moho 2110 San Antonio De Putina 2111 San Roman 2112 Sandia 2113 Yunguyo 2201 Moyobamba 2202 Bellavista 2203 El Dorado 2204 Huallaga 2205 Lamas 2206 Mariscal Caceres 2207 Picota 2208 Rioja 2209 San Martin 2210 Tocache 2299 Department of San Martin, province not specified 2301 Tacna 2302 Candarave 2303 Jorge Basadre 2304 Tarata 2401 Tumbes 2402 Contralmirante Villar 2403 Zarumilla 2501 Coronel Portillo 2502 Atalaya 2503 Padre Abad 2504 Purus 2599 Department of Ucayali, province not specified 9997 Respondent did not answer 9998 Unknown 9999 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Last child alive <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="em">For women 12 years of age and older</span><br />[Applies to questions 20 -23]<br /></svar></p> <p><svar v="PE93A442" a="all">23. Is this last child currently alive?<br /><div class="i1">Circle the appropriate number:<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="PE93A402 PE93A412 PE93A421 PE93A423 PE93A442"><span class="h3">For women 12 years of age and older</span><br />[Applies to questions 20 - 23]<br /></svar></p> <p><svar v="PE93A442" a="all"><span class="h3">Question No. 23: Is this last child currently alive?</span><br />Read the question and wait for the informant's response. Then, circle the corresponding number.<br />[There is a picture of question 23 in this section of the Enumeration Form.]<br /><span class="em">Remember that</span>:<br />This refers to the last child born alive and who is alive on the day of the Census, whatever their age may be.<br /></svar> Peru 1993: Females age 12+, with children ever born [discrepancies: type I 0.3%; type II trace] This variable indicates whether the woman's last child is alive. 1 Yes, alive 2 Not alive 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Age completed, years <svar v="PE93A406 PE93A407 PE93A443 PE93A444" a="all">3. What is your age in years completed?<br /><div class="i1">Years completed _ _<br /><br />For those under 1 year, write the number of months, for those under 1 month write 00.<br /><br />Months completed _ _</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A406 PE93A407 PE93A443 PE93A444" a="all"><span class="h3">Question No. 3: What is your age in years completed?</span><br />Read the question and wait for the informant's response. Then, record the information in the appropriate box.<br />[There is a picture of a completed question 3 from this section of the Enumeration Form.]<br /><span class="em">Remember that</span>:<br />The information in this question should be recorded to two digits. When necessary, put a zero before it. Example: if the informant states that they are 7, record: 07.<br />In "Box 1" Completed years: The age, in completed years, of people older than one will be recorded. If the informant states that they are over 98, record 98.<br />In "Box 2" Months: For children younger than a year, the number of months will be recorded.<br />For children who are less than a month old: record "00" in "Box 2."<br /><span class="em">Remember that the boxes are exclusive</span>: This means that if the person is one year or older, their information will be recorded in box 1 "Completed Years" and you will leave box 2 "Completed Months" blank.<br />If the informant doesn't remember their age, help them in one of the following ways:<br /><div class="i1">Ask for their year of birth and make the necessary calculation. For example, if the person says that they were born in May of 1942, at the time of the Census they will be 51 years old (1993 - 1942 = 51).<br />Request a personal identity document (military I.D., voter registration card, birth certificate, etc.) that helps you determine their age.</div><br /></svar> Peru 1993: All persons This variable indicates the person's age in completed years. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 years old or more Demographic Variables -- PERSON Age completed, months <svar v="PE93A406 PE93A407 PE93A443 PE93A444" a="all">3. What is your age in years completed?<br /><div class="i1">Years completed _ _<br /><br />For those under 1 year, write the number of months, for those under 1 month write 00.<br /><br />Months completed _ _</div><br /></svar> <svar v="PE93A401 PE93A405 PE93A406 PE93A407 PE93A414 PE93A415 PE93A416 PE93A417 PE93A422 PE93A424 PE93A429 PE93A431 PE93A432 PE93A435 PE93A436 PE93A438 PE93A439 PE93A440 PE93A443 PE93A444"><span class="h3">For All People</span><br />[Applies to questions 1 - 6]<br /></svar></p> <p><svar v="PE93A406 PE93A407 PE93A443 PE93A444" a="all"><span class="h3">Question No. 3: What is your age in years completed?</span><br />Read the question and wait for the informant's response. Then, record the information in the appropriate box.<br />[There is a picture of a completed question 3 from this section of the Enumeration Form.]<br /><span class="em">Remember that</span>:<br />The information in this question should be recorded to two digits. When necessary, put a zero before it. Example: if the informant states that they are 7, record: 07.<br />In "Box 1" Completed years: The age, in completed years, of people older than one will be recorded. If the informant states that they are over 98, record 98.<br />In "Box 2" Months: For children younger than a year, the number of months will be recorded.<br />For children who are less than a month old: record "00" in "Box 2."<br /><span class="em">Remember that the boxes are exclusive</span>: This means that if the person is one year or older, their information will be recorded in box 1 "Completed Years" and you will leave box 2 "Completed Months" blank.<br />If the informant doesn't remember their age, help them in one of the following ways:<br /><div class="i1">Ask for their year of birth and make the necessary calculation. For example, if the person says that they were born in May of 1942, at the time of the Census they will be 51 years old (1993 - 1942 = 51).<br />Request a personal identity document (military I.D., voter registration card, birth certificate, etc.) that helps you determine their age.</div><br /></svar> Peru 1993: Persons under 1 year old [discrepancies: none] This variable indicates the person's age in completed months, for those younger than 1 year old. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 99 NIU (not in universe) Demographic Variables -- PERSON