X Censo Nacional de Población y VI de Vivienda de Panamá 2000 DDI_PAN_2000_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. X Censo Nacional de Población y VI de Vivienda de Panamá 2000 - IPUMS Subset PHC pa2000a (IPUMS Harmonized Subset) PAN_2000_PHC_v01_M_v7.6_A_IPUMS Contraloria General de la Republica, Direccion de Estadistica y Censo IPUMS (c) Copyright 2000, Contraloria General de la Republica, Direccion de Estadistica y Censo and Minnesota Population Center Contraloria General de la Republica, Direccion de Estadistica y Censo Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Income Variables -- PERSON Household Economic Variables -- HOUSEHOLD Migration: O-Z Variables -- PERSON Technical Person Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Technical Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Work Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Disability Variables -- PERSON Ethnicity and Language Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Migration: Global Variables -- PERSON Nativity and Birthplace Variables -- PERSON Other Person Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Income Variables -- PERSON Fertility and Mortality Variables -- PERSON May 14, 2000 7a.m. to 7p.m. on Sunday, May 14, 2000 Panama District with 20,000+ population combined by IPUMS Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Any place or premises structurally separate or independent, that has been built, make or converted for use as permanent or temporary housing or lodging of persons; such as any class of lodging, fixed or mobile, occupied by persons as a living quarters on the date of the Census. A dwelling can be private or collective. - Households: A group of persons with or without relationship ties who reside under the same roof and who at least for their food, depend on a common fund (they participate in a common pool of money). In a dwelling there can be more than one private home. - Group quarters: A special living quarters by a group of persons generally without family ties and who live together for reasons of discipline, health, education, religious life, work, and others. All persons present in the territory and waters under the jurisdiction of the Republic and all living units, occupied or not, that exist in the country on May 15, 2010. All persons, whether a member of the household or not, who slept in the interviewed dwelling the night before the day of the Census, that is the night of May 13 to 14, 2000. Persons who live in the dwelling, even if they had not slept there, if they spend the night away because of their job, attending a party, wake, or other special case. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Panama 2000 MICRODATA SOURCE: Contraloria General de la Republica, Direccion de Estadistica y Censo SAMPLE SIZE (person records): 284081. SAMPLE DESIGN: Systematic sample of every 10th dwelling. Face-to-face [f2f] A single Enumeration form that asked questions at both the individual and dwelling level. de facto, CENSUS DAY: May 14, 2000 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. Contraloria General de la Republica, Direccion de Estadistica y Censo 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: Panama, Contraloria General de la Republica, Direccion de Estadistica y Censo. X Censo Nacional de Población y VI de Vivienda de Panamá 2000 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 pa2000a, 2025 PAN2000_PHC-H-H.dat Household records 84,346 ascii Minnesota Population Center Version 7.5, IPUMS sample PAN2000_PHC-P-H.dat Person records 284081 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 Donated household HHDONATE identifies households that were donated during the IPUMS data editing process. 0 Not donated 1 Donated Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 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 Panama, Province 1960 - 2010 [Level 1; consistent boundaries, GIS] GEO1_PA identifies the household's province within Panama in all sample years. Provinces are the first level administrative units of the country. GEO1_PA 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 GEO1_PA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Panama 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. 591002 Coclé 591003 Colón, Comarca Kuna Yala (San Blas) 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas 591005 Comarca Emberá, Darién 591006 Herrera 591007 Los Santos 591008 Panamá Geography: O-Z Variables -- HOUSEHOLD Panama, District 1960 - 2010 [Level 2; consistent boundaries, GIS] GEO2_PA identifies the household's district within Panama in all sample years. Districts are the second level administrative units of the country, after provinces. GEO2_PA 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_PA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Panama 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. 591002001 Natá, Penonomé 591002002 Antón 591002003 Aguadulce 591002004 La Pintada, Olá 591003001 Colón, Portobelo, Santa Isabel 591003002 Chagres, Donoso 591003003 Comarca Kuna Yala 591004001 Bocas del Toro, Changuinola, Kusapín, Santa Fé 591004002 David 591004003 Atalaya, Santiago 591004004 Bugaba 591004005 Barú, Renacimiento 591004006 Ñürüm, Cañazas, La Mesa, Las Palmas 591004007 Remedios, San Félix, Besiko, Nole Duima 591004008 Tolé, Müna 591004009 Río de Jesús, Soná, Mariato, Montijo 591004010 Chiriquí Grande, Kankintú 591004011 Gualaca, San Lorenzo, Besiko 591004012 Alanje, Boquerón 591004013 Dolega 591004014 Boquete 591004015 Calobre, San Francisco 591005001 Chepigana, Pinogana, Cémaco, Sambú 591006001 Chitré 591006002 Las Minas, Los Pozos, Ocú 591006003 Parita, Pesé, Santa María 591007001 Guararé, Las Tablas 591007002 Macaracas, Pedasí, Pocrí, Tonosí 591007003 Los Santos 591008001 Panamá, San Miguelito 591008002 Arraiján, Taboga 591008003 La Chorrera 591008004 Capira, San Carlos 591008005 Balboa, Chepo, Chimán 591008006 Chame Geography: O-Z Variables -- HOUSEHOLD Panama, District 2000 [Level 2, GIS] GEO2_ PA2000 identifies the household's districts within Panama in 2000. Districts are the second level administrative units of the country, after provicnes. A GIS map (in shapefile format), corresponding to GEO2_ PA2000 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Panama 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. 002001 Natá, Penonomé 002002 Antón 002003 Aguadulce 002004 La Pintada, Olá 003001 Chagres, Donoso 003002 Colón, Portobelo, Santa Isabel 003003 Comarca Kuna Yala 004001 Alanje, Boquerón 004002 Dolega 004003 Chiriquí Grande, Kankintú 004004 Gualaca, San Lorenzo, Besiko 004005 Boquete 004006 Calobre, San Francisco 004007 Río de Jesús, Soná, Montijo 004008 Tolé, Müna 004009 Bocas del Toro, Changuinola 004010 Kusapín, Santa Fé 004011 Atalaya, Santiago 004012 David 004013 Barú, Renacimiento 004014 Bugaba 004015 Remedios, San Félix, Mirono, Nole Duima 004016 Ñürüm, Las Palmas 004017 Cañazas, La Mesa 005001 Chepigana, Pinogana, Cémaco, Sambú 006001 Chitré 006002 Las Minas, Los Pozos, Ocú 006003 Parita, Pesé, Santa María 007001 Los Santos 007002 Macaracas, Pedasí, Pocrí, Tonosí 007003 Guararé, Las Tablas 008001 Arraiján, Taboga 008002 La Chorrera 008003 Panamá 008004 San Miguelito 008005 Chame 008006 Capira, San Carlos 008007 Balboa, Chepo, Chimán 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 Number of international migrants INTMIG1 indicates the number of people from the household who traveled to another country to live and have not permanently returned. 00 No migrants 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 or more 98 Unknown 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Trash disposal This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner. 00 NIU (not in universe) 10 Collected by a sanitation service 11 Collected directly from the household or dwelling 12 Collected indirectly from a garbage container or deposit 13 Collected by a sanitation service only 14 Collected by a sanitation service and disposed of in some other manner 20 Disposed of in some other manner 21 Burned or buried 22 Burned 23 Buried 24 Thrown into street, vacant land, or common area 25 Thrown into river, lake, ocean, lagoon, etc. 26 Thrown into canyon or gulley 27 Dumped in pit 28 Communal refuse dump 29 Own refuse dump 30 Authorized refuse dump 31 Illegal refuse dump 32 Other dumping 33 Outside 34 In the fields 35 Fed to animals 36 Composted 37 Heap 38 Garden 39 Other, none 99 Unknown/missing Utilities Variables -- HOUSEHOLD Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Air conditioning This variable indicates whether the household had air conditioning. 00 NIU (not in universe) 10 No air conditioning 20 Yes, air conditioning 21 1 unit or room 22 2 units or rooms 23 3 units or rooms 24 4 units or rooms 25 5 units or rooms 26 6 units or rooms 27 7 units or rooms 28 8 or more units or rooms 29 Central system 99 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Computer COMPUTER indicates whether the household had a personal computer. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Clothes washing machine WASHER indicates whether the household had a clothes washing machine. 0 NIU (not in universe) 1 No 2 Yes 3 Automatic or semi-automatic 4 Wringer or other non-automatic 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD 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 Year structure was built BUILTYR indicates the year in which construction was completed on the building in which the household resides. 0000 NIU (not in universe) 1870 1870 or earlier 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Under construction 9999 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Age of structure, coded from intervals AGESTRUCT2 gives the estimated age of the structure. 000 Less than 1 year old 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 997 Under construction 998 Unknown 999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of deaths in household last year MORTNUM indicates the number of deaths in the household in the past year. 0 None 1 1 death 2 2 deaths 3 3 deaths 4 4 deaths 5 5 deaths 6 6 deaths 7 7 or more deaths 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Any deaths in household last year ANYMORT indicates whether there were any deaths in the household in the past year. 1 Yes 2 No 8 Unknown/missing 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Panama 2000: All households This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Household number (within dwelling) Panama 2000: All households This variable indicates the household number (within dwelling). 1 1 2 2 3 3 4 4 5 5 Technical Household Variables -- HOUSEHOLD Number of households in dwelling Panama 2000: All households This variable indicates the number of households in the dwelling. 1 1 2 2 3 3 4 4 5 5 Technical Household Variables -- HOUSEHOLD Number of persons in dwelling Panama 2000: 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 Panama 2000: 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 Panama 2000: All households This variable indicates whether the dwellings were created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Urban or rural Panama 2000: All households This variable indicates whether the location of the dwelling is urban or rural. 1 Urban 2 Rural Geography: O-Z Variables -- HOUSEHOLD Dwelling type <svar v="PA00A039 PA00A040" a="all">1. Dwelling Type <div class="i1">[] 01 Private permanent [] 02 Private semi-permanent [] 03 Improvised [] 04 Apartment [] 05 Room in a tenement (casa de vecindad) [] 06 Place not intended for habitation but used as a dwelling Without dwelling</div> <div class="i2">[] 07 Homeless [due to natural disaster]. [] 08 Indigent (skip to Chapter IV)</div> <div class="i1">([For responses 06 and 07,] skip to Chapter III)</div> </svar> <svar v="PA00A039 PA00A040" a="all">Question No. 1: Type of dwelling The purpose of this question is to determine the type of existing dwellings in our country. Identify the type of dwelling by observation and basing yourself on the definitions described beginning on the following page. In case of doubt, ask questions that you consider are able to clarify best what kind of dwelling is being considered. Mark a single circle. [Below the text is a "Type of Dwelling" form that is not filled out.] You should keep in mind the following definitions: [p. 31] a. Private permanent (Circle 01): It is built with long lasting materials such as: concrete, concrete blocks, bricks, stone, wood, adobe, clay covered plant fiber (quincha), etc. It can also be totally or partially built. Semi-detached houses or duplexes are considered individual permanent dwellings. Examples: [Below the text are 3 photographs of individual permanent dwellings, labeled Brick house, Wooden house and quincha house.] [p. 32] b. Private Semi-permanent (Circle 02): It is built with materials of medium to short duration, such as cane, straw, palm leaves, bamboo, etc. [To the right of the text is a photograph of an individual semi-permanent dwelling.] b. Improvised (Circle 03): It is built with temporary means and generally forms part of the "Spontaneous Settlements or Emergency Areas". It is built with material like: old wood, pieces of zinc, tin, cardboard, canvas, cloth, or plastic. [To the left of the text is a photograph of an improvised dwelling] c. Apartment (Circle 04): It is a dwelling unit with toilet facilities and a bath of private use located in a building where three or more similar dwellings exist within the same piece of land. This type of dwelling can be found with one floor or as a building with two or more floors. [To the right of the text is a photograph of an apartment building.] d. Room in tenement housing (Circle 05): It constitutes one or more rooms in a tenement house that occupies part of a building composed of many dwellings and do not have toilet facilities, or bath, of private use. The occupants of these dwellings share the use of toilet facilities and bath. [To the left of the text is a photograph of a tenement house.] [p. 33] e. Place not intended for habitation but used as a dwelling (Circle 06): It refers to any place or space not meant principally as a dwelling such as: a doorway, vessel, granary, garage, stable, office, store, etc. If you mark this circle (06) do not ask the rest of the dwelling questions and begin filling out Section III. Household information. [To the left of the text is a photograph of a ship.] f. Without Dwelling: Mark this circle when you meet persons who do not have a place to live and sleep in the elements (indigents). Also victims are included in this category. <div class="i1">Victims (Circle 07): Mark this circle when persons claim to have remained without dwelling due to any natural phenomenon like floods, landslides, accidents, etc., remember not to ask the rest of the dwelling questions and begin filling out Section III. Household information. Indigents (Circle 08): Mark this circle when persons do not have a dwelling, but rather they sleep in the street, sidewalks, parks, push carts, etc. remember not to ask the rest of the questions and go to Section IV. (List of Occupants).</div> g. Collective Dwelling: As it is explained before, a collective dwelling is used and meant to be used as special living quarters combined of persons generally without family ties who live together for reasons of discipline, health, education, religious life, work and others such as reformatories, jails, penal colonies, hospitals, sanatoriums, nursing homes, hotels, etc. It can be occupied by a collective home, which is the most frequent. It can be part of a private home. If you find a private home while a collective dwelling is being enumerated, use another questionnaire for registering the information about the members of the private home. </svar> Panama 2000: All households This variable indicates the dwelling type. 01 Independent house, permanent 02 Independent house, semi-permanent 03 Improvised 04 Apartment 05 Room in a casa de vecindad (tenement, urban dwellings in converted older houses) 06 Place not intended for habitation and condemned 08 Indigent 09 Private collective household (group quarters) 10 Shelters (asylums and old-age homes) 11 Ships 12 Prisons, barracks and penal colonies 13 Convents and other religious dwellings 14 Worker's hostels or dormitories 15 Hospitals, clinics, sanatoriums 16 Hotels, inns, and guesthouses 17 Boarding schools 19 Others 20 Retenes (place of detention) 21 Prior enumeration 22 4 or more unrelated people (with dwelling information) 23 4 or more unrelated people (without dwelling information) Group Quarters Variables -- HOUSEHOLD Dwelling type recoded <svar v="PA00A039 PA00A040" a="all">1. Dwelling Type <div class="i1">[] 01 Private permanent [] 02 Private semi-permanent [] 03 Improvised [] 04 Apartment [] 05 Room in a tenement (casa de vecindad) [] 06 Place not intended for habitation but used as a dwelling Without dwelling</div> <div class="i2">[] 07 Homeless [due to natural disaster]. [] 08 Indigent (skip to Chapter IV)</div> <div class="i1">([For responses 06 and 07,] skip to Chapter III)</div> </svar> <svar v="PA00A039 PA00A040" a="all">Question No. 1: Type of dwelling The purpose of this question is to determine the type of existing dwellings in our country. Identify the type of dwelling by observation and basing yourself on the definitions described beginning on the following page. In case of doubt, ask questions that you consider are able to clarify best what kind of dwelling is being considered. Mark a single circle. [Below the text is a "Type of Dwelling" form that is not filled out.] You should keep in mind the following definitions: [p. 31] a. Private permanent (Circle 01): It is built with long lasting materials such as: concrete, concrete blocks, bricks, stone, wood, adobe, clay covered plant fiber (quincha), etc. It can also be totally or partially built. Semi-detached houses or duplexes are considered individual permanent dwellings. Examples: [Below the text are 3 photographs of individual permanent dwellings, labeled Brick house, Wooden house and quincha house.] [p. 32] b. Private Semi-permanent (Circle 02): It is built with materials of medium to short duration, such as cane, straw, palm leaves, bamboo, etc. [To the right of the text is a photograph of an individual semi-permanent dwelling.] b. Improvised (Circle 03): It is built with temporary means and generally forms part of the "Spontaneous Settlements or Emergency Areas". It is built with material like: old wood, pieces of zinc, tin, cardboard, canvas, cloth, or plastic. [To the left of the text is a photograph of an improvised dwelling] c. Apartment (Circle 04): It is a dwelling unit with toilet facilities and a bath of private use located in a building where three or more similar dwellings exist within the same piece of land. This type of dwelling can be found with one floor or as a building with two or more floors. [To the right of the text is a photograph of an apartment building.] d. Room in tenement housing (Circle 05): It constitutes one or more rooms in a tenement house that occupies part of a building composed of many dwellings and do not have toilet facilities, or bath, of private use. The occupants of these dwellings share the use of toilet facilities and bath. [To the left of the text is a photograph of a tenement house.] [p. 33] e. Place not intended for habitation but used as a dwelling (Circle 06): It refers to any place or space not meant principally as a dwelling such as: a doorway, vessel, granary, garage, stable, office, store, etc. If you mark this circle (06) do not ask the rest of the dwelling questions and begin filling out Section III. Household information. [To the left of the text is a photograph of a ship.] f. Without Dwelling: Mark this circle when you meet persons who do not have a place to live and sleep in the elements (indigents). Also victims are included in this category. <div class="i1">Victims (Circle 07): Mark this circle when persons claim to have remained without dwelling due to any natural phenomenon like floods, landslides, accidents, etc., remember not to ask the rest of the dwelling questions and begin filling out Section III. Household information. Indigents (Circle 08): Mark this circle when persons do not have a dwelling, but rather they sleep in the street, sidewalks, parks, push carts, etc. remember not to ask the rest of the questions and go to Section IV. (List of Occupants).</div> g. Collective Dwelling: As it is explained before, a collective dwelling is used and meant to be used as special living quarters combined of persons generally without family ties who live together for reasons of discipline, health, education, religious life, work and others such as reformatories, jails, penal colonies, hospitals, sanatoriums, nursing homes, hotels, etc. It can be occupied by a collective home, which is the most frequent. It can be part of a private home. If you find a private home while a collective dwelling is being enumerated, use another questionnaire for registering the information about the members of the private home. </svar> Panama 2000: All households This variable indicates the recoded dwelling type. 11 Independent house, permanent 12 Independent house, semi-permanent 13 Improvised 21 Apartment 31 Room in a casa de vecindad (tenement, urban dwellings in converted older houses) 41 Shelters 42 Ships 43 Prisons, barracks and penal colonies 44 Convents and other religious dwellings 45 Worker's hostels or dormitories 46 Hospitals, clinics, sanatoriums 47 Hotels, inns, and guesthouses 48 Boarding schools 51 Others 52 4 or more unrelated people 61 Place not intended for habitation and condemned 71 Indigent 91 Retenes (place of detention) Group Quarters Variables -- HOUSEHOLD Condition of the dwelling (occupancy) <svar v="PA00A041" a="all">2. Condition of the dwelling <div class="i1">[] 1 With occupants present [] 2 With occupants absent Unoccupied:</div> <div class="i2">[] 3 For sale or rent [] 4 Under repair or construction [] 5 Summer home [] 6 Other reason</div> <div class="i1">([For responses 2 - 6,] go on to the next dwelling)</div> </svar> <svar v="PA00A041" a="all">Question No. 2: Condition of the dwelling: When the Enumerator arrives at a dwelling the following situations can be found: <div class="i1">Occupants are in the dwelling (occupants present) Occupants are not found in the dwelling (closed dwelling) The dwelling is unoccupied (for sale or rent, under repair or construction, as a summer house or for another reason)</div> Mark only one circle keeping in mind the following definitions: [p. 35] a. With occupants present (Circle 1): When it concerns a dwelling inhabited with any occupant present at the moment of the Census. b. With occupants absent (Circle 2): When it concerns an inhabited dwelling, but whose occupants are not present at the moment of the Census. This dwelling should be visited more than one time to avoid omissions of enumeration on the day of the Census. If the interview occurs, mark circle 1. c. Unoccupied dwelling (Circles 3 to 6) When an enumerated building is found in this situation (unoccupied), mark the corresponding box; remember that this is important, for knowing the amount of buildings in the country. <div class="i1">c.1 For sale or rent (Circle 3): A dwelling that at the moment of the visit, is found unoccupied because of being for sale or rent. c.2 Under repair or construction (Circle 4): A dwelling that at the moment of the visit is not occupied because, they are repairing or remodeling it, or they have not finished building it yet. [To the right of the text is a photograph of a building under construction.] c.3 Summer house (Circle 5): When it concerns a dwelling that is used for spending vacations or weekends because the person or the family has their habitual residence in another place and is found unoccupied on the day of the Census. Other reason (Circle 6): Is when the dwelling is not in any of the conditions mentioned above.</div> [p. 36] When you mark any of there circles (2, 3, 4, 5, or 6) go to the next dwelling. Note: A closed dwelling with occupants absent at the time should not be confused with an unoccupied dwelling, if it is possible ask the neighbors before marking its condition. Example: If at the moment of visiting a dwelling, the door is found to be closed and when asking the neighbors what it is due to, they indicate that the owners of this dwelling do not live in it, but they only come in the summer or on vacations, mark the corresponding circle: </svar> Panama 2000: Private households [discrepancies: none] This variable indicates the occupancy status of the dwelling. 1 With occupants present 2 With occupants absent 3 For sale or rent 4 Under repair or construction 5 Summer home 6 Other reason 9 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Number of households <svar v="PA00A042" a="all">3. How many households reside in this dwelling? <div class="i1">(Consider as a household those who cook independently and manage a separate budget) Households ____</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A042" a="all">Question No. 3: How many households reside in this dwelling? (Consider as home(s) those who cook independently and manage a separate budget) The objective of this question is to identify the number of homes that accommodate the selected dwelling. This number should permit us to know the dwelling needs in the country and also to rely on the necessary elements for bettering the conditions of life of the members of the home. In a dwelling there can be more than one home. Consider as Dwelling(s) those who cook independently and manage a separate budget. [p. 37] Before marking the response, you should read the following indications and put emphasis on: Do all the persons who live in this dwelling share one eating expense? And then proceed to the following form: If the response to the question is affirmative, in other words, if a person states that all the residents of the home have a common eating expense, it will be considered a single home. If the response to the question is " no", this indicates that there is more than one home or group of persons who have separate eating expenses. Enter the number of existing homes. In this case, you should identify the principal home and which are additional homes and continue as it is explained in section d. (Numbering of the additional homes in a dwelling) from point 2. General rules of procedure. If the person does not know which is the principal home, help them by asking them who is the head or owner of the house, the one responsible for renting or the person who pays the majority of the expenses; the rest of the homes should be classified as additional homes. Additional home: is one that lives under the same room of another home, but is clearly differentiated because it has its own expense, principally for eating. Example of question 3: Miss Cárcamo resides in the dwelling with her grandchild and a cousin who occupies a room ceded for her. She declares that she only cooks for herself and her grandchild; since the cousin always eats out. [Below the text is a form.] [p. 38] Continuing with the previous example: You are going to write down in the upper right part of the questionnaire, the following information: [Below the text are two forms.] That is to say that, at the end you will have two census questionnaires identified with the same Questionnaire number, but with a different identification for each home. Note: The questionnaire of the additional home should have all the sections filled out except Section II. Dwelling Information. </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the number of households in the dwelling. 1 1 2 2 3 3 4 4 5 5 9 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Ownership (tenure) of the dwelling <svar v="PA00A043 PA00A044" a="all">4. Is your dwelling . . . (read) <div class="i1">[] 1 Mortgaged? [] 2 Rented?</div> <div class="i2">[For 1 or 2:] _ _ _ _ B/. (monthly payment)</div> <div class="i1">[] 3 Owned? [] 4 Ceded? [] 5 Condemned? [] 6 Other?</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A043 PA00A044" a="all">Question No. 4: Is the dwelling . . ? Ownership of the Dwelling Read the options and mark a single circle according to what the person indicates. Keep in mind the following definitions: <div class="i1">a. Mortgaged (Circle 1) It refers to a dwelling that has been built by means of mortgage loans from the Mortgage Bank, Social Security Fund, from the Savings Bank, from the National Bank, collective mortgages and from other credit institutions and are not totally paid for. Include also as a mortgage a dwelling whose original mortgage has been totally paid, but that is found to be involved with a new mortgage and it has not been paid yet. For the case of the mortgaged dwellings, mark circle 1 and write down in Balboas in the corresponding space, the monthly sum that is paid for the mortgage. Write down whole numbers, omitting cents. Put 0 in front of the mortgage when it is less than B/1,000.</div> [p. 39] <div class="i1">If a person pays the mortgage every two weeks, multiply this value by two If a person claims to be paying a mortgage for a house and does not declare the amount, state this situation in the "observations" lines. Example: The head of the dwelling states that B/90.75 is paid every two weeks in mortgage payments. Mark the circle and write down the corresponding amount. [Below the text is a form.] b. Rented (Circle 2): A dwelling is considered rented when the right to use it is paid for. Write down in balboas and in whole numbers, the sum that is paid for rent in the corresponding space. Put 0 in front of the rent when the value is less than B/1,000. Remember to multiply by two if a person declares to have paid this rent every two weeks. If a person declares to be paying rent for a house and does not declare the amount, explain this situation in the "observations" lines.</div> [p. 40] <div class="i1">Example: Miss Vivian Acosta pays B/250.00 a month, for the rent of the house where she resides. Mark the circle and write down the corresponding amount. [Below the text is a form.] c. Owned (Circle 3): It is a dwelling occupied by the owner of the building and the land or only the building. Include as owned a dwelling built with their own resources, built through mortgage payments already paid for or rented or acquired through other means. d. Ceded (Circle 4): It is a dwelling whose occupants are not owners and they do not pay any rent or mortgage. Generally the persons who inhabit these dwellings are relatives of the owner or have been ceded for work reasons. Examples: 1) Some houses for the workers of companies: Puerto Armuelles and the Bocas del Toro Fruit Company [in English]. 2) The room that a cleaner occupies in a building as payment for doing the cleaning. 3) An apartment, owned by a father that a newly married child occupies for which no rent is paid for occupying it.</div> [p. 41] <div class="i1">e. Condemned (Circle 5): It refers to a dwelling considered uninhabitable by the Office of Safety, the Fire Department, the Department of Municipal Engineering, the Department of Sanity of the Ministry of Health or the System of National Civil Protection and that because of its poor state and hygienic and deteriorative condition constitutes grave danger for the security and health of its tenants. The tenants do not pay rent and assume the expenses of water and light. f. Other (Circle 6): Include here any type of ownership that is not taken account of in any of the previous types.</div> </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the ownership (tenure) status of the dwelling. 1 Mortgaged 2 Rented 3 Owned 4 Ceded 5 Condemned 6 Other 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Monthly payment <svar v="PA00A043 PA00A044" a="all">4. Is your dwelling . . . (read) <div class="i1">[] 1 Mortgaged? [] 2 Rented?</div> <div class="i2">[For 1 or 2:] _ _ _ _ B/. (monthly payment)</div> <div class="i1">[] 3 Owned? [] 4 Ceded? [] 5 Condemned? [] 6 Other?</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A043 PA00A044" a="all">Question No. 4: Is the dwelling . . ? Ownership of the Dwelling Read the options and mark a single circle according to what the person indicates. Keep in mind the following definitions: <div class="i1">a. Mortgaged (Circle 1) It refers to a dwelling that has been built by means of mortgage loans from the Mortgage Bank, Social Security Fund, from the Savings Bank, from the National Bank, collective mortgages and from other credit institutions and are not totally paid for. Include also as a mortgage a dwelling whose original mortgage has been totally paid, but that is found to be involved with a new mortgage and it has not been paid yet. For the case of the mortgaged dwellings, mark circle 1 and write down in Balboas in the corresponding space, the monthly sum that is paid for the mortgage. Write down whole numbers, omitting cents. Put 0 in front of the mortgage when it is less than B/1,000.</div> [p. 39] <div class="i1">If a person pays the mortgage every two weeks, multiply this value by two If a person claims to be paying a mortgage for a house and does not declare the amount, state this situation in the "observations" lines. Example: The head of the dwelling states that B/90.75 is paid every two weeks in mortgage payments. Mark the circle and write down the corresponding amount. [Below the text is a form.] b. Rented (Circle 2): A dwelling is considered rented when the right to use it is paid for. Write down in balboas and in whole numbers, the sum that is paid for rent in the corresponding space. Put 0 in front of the rent when the value is less than B/1,000. Remember to multiply by two if a person declares to have paid this rent every two weeks. If a person declares to be paying rent for a house and does not declare the amount, explain this situation in the "observations" lines.</div> [p. 40] <div class="i1">Example: Miss Vivian Acosta pays B/250.00 a month, for the rent of the house where she resides. Mark the circle and write down the corresponding amount. [Below the text is a form.] c. Owned (Circle 3): It is a dwelling occupied by the owner of the building and the land or only the building. Include as owned a dwelling built with their own resources, built through mortgage payments already paid for or rented or acquired through other means. d. Ceded (Circle 4): It is a dwelling whose occupants are not owners and they do not pay any rent or mortgage. Generally the persons who inhabit these dwellings are relatives of the owner or have been ceded for work reasons. Examples: 1) Some houses for the workers of companies: Puerto Armuelles and the Bocas del Toro Fruit Company [in English]. 2) The room that a cleaner occupies in a building as payment for doing the cleaning. 3) An apartment, owned by a father that a newly married child occupies for which no rent is paid for occupying it.</div> [p. 41] <div class="i1">e. Condemned (Circle 5): It refers to a dwelling considered uninhabitable by the Office of Safety, the Fire Department, the Department of Municipal Engineering, the Department of Sanity of the Ministry of Health or the System of National Civil Protection and that because of its poor state and hygienic and deteriorative condition constitutes grave danger for the security and health of its tenants. The tenants do not pay rent and assume the expenses of water and light. f. Other (Circle 6): Include here any type of ownership that is not taken account of in any of the previous types.</div> </svar> Panama 2000: Private households with occupants present who are paying mortgage or rent [discrepancies: none] This variable indicates the monthly mortgage or rent payment. PA00A044 is a 5-digit numeric variable. Codes0 = NIU (not in universe) 9999 = Unknown Household Economic Variables -- HOUSEHOLD Number of rooms <svar v="PA00A045 PA00A046" a="all">5. How many rooms does the dwelling have? <div class="i1">(Do not include the kitchen, toilet and bathroom) Number of rooms _ _ 5a. Of these, how many are only for sleeping?</div> <div class="i2">_ _</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A045 PA00A046" a="all">Question 5 How many rooms does the dwelling have? (Do not include the kitchen, toilet or bath) Room: It is any separated chambers used for means of lodging. The rooms can be separated by fixed walls of any material, which constitutes an effective division between the different chambers. When this question is asked, clarify to the enumerated person what should be included as rooms or not, what should be considered for a better understanding is detailed below: [p. 42] [Below the text are two lists.] Include <div class="i1">Living room Dining room Study Recreation room Domestic servant's room Rooms always ceded or rented and when they are within an enumerated dwelling (more than one home in a dwelling)</div> Do not include <div class="i1">Kitchen Bathroom Hallways Terraces Doorways Attics (that are not used as sleeping rooms) Annexes that are rented and have an independent entrance Those that are used exclusively for commercial, industrial or service (shop, workshop, depositories of grain and other products, elevated storage rooms (jorones), stalls for animals, etc.) reasons.</div> Finally, write down with two numbers in the corresponding space the total number of rooms that the enumerated dwelling has, putting a zero in front if the amount is less than ten. Question Number 5a Of these [rooms] how many are for sleeping? The objective that this question pursues is to quantify the total number of rooms which are in the home and that are used only for sleeping even if they have not been built for this purpose. The information obtained will permit us to know the level of housing of the home. Write down in Arabic numbers in the corresponding space the amount of rooms exclusive for sleeping that the enumerated dwelling has, even if they have not been built for this purpose. Consider attics, only, if they are used only for sleeping. Write down " 00" if the dwelling does not have any room exclusive for sleeping. The number of rooms in this question should be less than the total number of rooms mentioned in question 5. [p. 43] Example: The person declares to have, in their dwelling, a living room -- dining room and 4 rooms for sleeping. The response will be written down as: [Below the text is a form.] </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the number of rooms, excluding kitchen, toilet and bathroom, the dwelling has. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of bedrooms <svar v="PA00A045 PA00A046" a="all">5. How many rooms does the dwelling have? <div class="i1">(Do not include the kitchen, toilet and bathroom) Number of rooms _ _ 5a. Of these, how many are only for sleeping?</div> <div class="i2">_ _</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A045 PA00A046" a="all">Question 5 How many rooms does the dwelling have? (Do not include the kitchen, toilet or bath) Room: It is any separated chambers used for means of lodging. The rooms can be separated by fixed walls of any material, which constitutes an effective division between the different chambers. When this question is asked, clarify to the enumerated person what should be included as rooms or not, what should be considered for a better understanding is detailed below: [p. 42] [Below the text are two lists.] Include <div class="i1">Living room Dining room Study Recreation room Domestic servant's room Rooms always ceded or rented and when they are within an enumerated dwelling (more than one home in a dwelling)</div> Do not include <div class="i1">Kitchen Bathroom Hallways Terraces Doorways Attics (that are not used as sleeping rooms) Annexes that are rented and have an independent entrance Those that are used exclusively for commercial, industrial or service (shop, workshop, depositories of grain and other products, elevated storage rooms (jorones), stalls for animals, etc.) reasons.</div> Finally, write down with two numbers in the corresponding space the total number of rooms that the enumerated dwelling has, putting a zero in front if the amount is less than ten. Question Number 5a Of these [rooms] how many are for sleeping? The objective that this question pursues is to quantify the total number of rooms which are in the home and that are used only for sleeping even if they have not been built for this purpose. The information obtained will permit us to know the level of housing of the home. Write down in Arabic numbers in the corresponding space the amount of rooms exclusive for sleeping that the enumerated dwelling has, even if they have not been built for this purpose. Consider attics, only, if they are used only for sleeping. Write down " 00" if the dwelling does not have any room exclusive for sleeping. The number of rooms in this question should be less than the total number of rooms mentioned in question 5. [p. 43] Example: The person declares to have, in their dwelling, a living room -- dining room and 4 rooms for sleeping. The response will be written down as: [Below the text is a form.] </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the number of bedrooms the dwelling has. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7+ 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Wall material <svar v="PA00A047" a="all">6. What is the predominant material in the outside walls of the building or house? <div class="i1">[] 1 Cement block, brick, stone, concrete [] 2 Wood (planks, boards) [] 3 Clay-covered plant fiber (quincha), adobe [] 4 Metal (zinc, aluminum, etc.) [] 5 Straw, palm leaves, cane, sticks [] 6 Other materials [] 7 Without walls</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A047 PA00A048">Explanations with respect to questions 6 and 7: These two questions, unlike the rest of the section, refer to the building where the dwelling is, that is to say that in the cases in which apartments or tenement houses are being enumerated, the questions refer to the apartment building or the tenement house where the dwelling is located. </svar> <svar v="PA00A047" a="all">Question No. 6: What is the predominant material in the outside walls of the building or house? This question should not be filled out from an observation since you only see a part of the dwelling and it can be the case that the dwelling is not constructed from the materials that you observe. The walls of a dwelling are understood to be the walls of the front, sides and back. If more than one material is used in the walls, write down the one most used or predominant. It is important to clarify that this question does not refer to the material with which the walls are covered with like wall paper, but rather the base material: wood, concrete, palm leaves, etc. Mark a single circle according to the response of the person. If the person has doubts about responding, keep in mind, when clarifying the doubts, what is written above. </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the predominant material used in the walls. 1 Cement block 2 Wood 3 Quincha (sticks and clay) 4 Metal 5 Straw, penca (fibrous cactus) 6 Other materials 7 Without walls 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Roof material <svar v="PA00A048" a="all">7. What is the predominant material in the roof of the building or house? <div class="i1">[] 1 Concrete (cement) [] 2 Tile [] 3 Fiber-cement tiles (Tejalit, Panalit, Techolit) [] 4 Metal (zinc, aluminum, etc.) [] 5 Treated [coated] wood [] 6 Straw or palm [] 7 Other materials</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A047 PA00A048">Explanations with respect to questions 6 and 7: These two questions, unlike the rest of the section, refer to the building where the dwelling is, that is to say that in the cases in which apartments or tenement houses are being enumerated, the questions refer to the apartment building or the tenement house where the dwelling is located. </svar> <svar v="PA00A048" a="all">Question No. 7: What is the predominant material in the roof of the building or house? This question is asked to know what is the predominant material with which the roofs of the dwellings are constructed. It refers to the material of which the largest part of the roof of the building or house where the dwelling is located is made. If you are enumerating a building or apartment house or rooms of a tenement house, this question relates to the roof of the building or house. </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the predominant material used in the roof. 1 Concrete (cement) 2 Tile 3 Fiber-cement tiles 4 Metal 5 Covered wood 6 Straw, penca (fibrous cactus) 7 Other materials 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Floor material <svar v="PA00A049" a="all">8. What is the predominant material in the floor of this dwelling? <div class="i1">[] 1 Paving (concrete, tile or paving stones, brick) [] 2 Wood [] 3 Earth [] 4 Other (cane, sticks, waste materials)</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A049" a="all">Question No. 8: What is the predominant material in the floor of this dwelling? What is wanted with this question is the predominant material of which the floors of the dwelling are built. It refers to the material of the majority of the floors of the rooms of the dwelling. It is considered earthen floor when in the interior of the structure there has not been any improvement to the earth in its original state. This question is concerned with the material of the majority of the floor of the rooms of the dwelling. One should not look only at the material of the floor in the living room because in some dwellings this floor is different than the material of the rest of the rooms. Mark a single circle according to the type of material that the largest part of the floor of the dwelling is built with, according to the response of the person. </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the predominant material used in the floors 1 Paving stone or floor tile 2 Wood 3 Earth 4 Other 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Water supply <svar v="PA00A050" a="all">9. Where is drinking water principally obtained from? <div class="i1">[] 01 Public IDAAN aqueduct [] 02 Public Community aqueduct [] 03 Private aqueduct ([For responses 01 - 03,] continue with question 10) [] 04 Sanitary (treated) well [] 05 Uncovered Spring [] 06 Rainwater [] 07 Surface (superficial) well [] 08 River or stream [] 09 Cistern truck [] 10 Other ([For responses 04 - 10,] skip to question 12)</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A050" a="all">Question No. 9: Where is drinking water principally obtained from? This question refers to the form of being supplied drinking water in the dwelling. Read the question and then the options given as they appear in the questionnaire. Mark a single circle according to the response of the person. <div class="i1">a. Public Water System of the IDAAN (Circle 01): It is the system through which the inhabitants are supplied drinking water by means of a community system administrated by the IDAAN (National Institute of Water Systems and Sewers). b. Public Community Water System (Circle 02): When the water that the occupants of the dwelling drink is provided by a public water system administrated by the community or another private entity. c. Private Water System (Circles 03): System of supplying private drinking water provided for exclusive use of the dwelling. d. Sanitary Well (Circle 04): When the water that the occupants of the dwelling drink is provided from a sanitary well that is public or private with a pump to extract water. The pump can be manual, motorized or by windmill. Include the protected or covered spring (brocales). e. Uncovered Spring (Circle 05): Deep open well from which water is obtained by means of bucket or vessels manipulated by pulleys or simply by ropes. f. Rainwater (Circle 06): Water that falls from clouds and is stored in vessels to be drank by the residents of the dwelling.</div> [p. 47] <div class="i1">g) Superficial well (Circle 07): Also known as natural pool opened to an earth spring and almost always natural. h) River or stream (Circle 08): When the supply of drinking water is obtained directly from a river or gully. i) Cistern Truck (Circle 09): When the dwelling has installations for getting water from the IDAAN or from the community, but because of shortages the members of the home get drinking water principally from a cistern truck. j) Other (Circle 10) In the case that drinking water is obtained by any way different than those described above. Example: When the members of the dwelling consume bottled water.</div> If the person gives information of circles 01, 02, and 03 continue with question 10. On the other hand if any of the other circles are marked (04 to 10) go to question 12 of the questionnaire and a diagonal line will be drawn in questions 10 and 11. </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the source for drinking water. 00 NIU (not in universe) 01 Public aqueduct of the IDAAN 02 Public community aqueduct 03 Private aqueduct 04 Sanitary well 05 Unprotected well or spout 06 Rainwater 07 Surface well 08 River or stream 09 Tank truck 10 Other Utilities Variables -- HOUSEHOLD Water facilities within the dwelling <svar v="PA00A051" a="all">10. Are the drinking water installations within the dwelling? <div class="i1">[] 1 Yes [] 2 No</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A051" a="all">Question 10 Are the drinking water installations within the dwelling? This question has as its objective, from a sanitary point of view, to know if the dwelling has a supply of water through a pipe in its interior. Mark the circle according to the response of the person. </svar> Panama 2000: Private occupant present households with private or public adqueduct [discrepancies: none] This variable indicates whether there are water facilities within the dwelling. 1 Yes 2 No 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Water supply during the dry season <svar v="PA00A052 PA00A053" a="all">11. With what regularity does the dwelling have a supply of drinking water? <div class="i1">(Select for each season the most common situation) During the dry season? [] 1 24 hours per day [] 2 Part of the day [] 3 Occasionally During the rainy season? [] 4 24 hours per day [] 5 Part of the day [] 6 Occasionally</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A052 PA00A053" a="all">Question No. 11: With what regularity does the dwelling have a supply of drinking water? (Select for each season the situation that prevails most) The objective of this question is to know the periodicity, with which the dwelling has this service, which will permit the institution in charge to take the necessary measures. Remember that this question is asked when there is something in the circles 1 to 3 marked in question 9. It refers to the regularity in the supply of drinkable water which the dwelling has, according to the situation that prevails most both in the dry season as well as the rainy season. This question should be asked in the following manner: With what regularity does the supply of drinking water have during the dry season? Read the options. Mark the response that the person declares. Both under the heading relative to "During the dry season" as well as the heading relative to "During the rainy season" the questionnaire presents 3 options for response, in which the most prevalent in each case should be marked. Mark the response of the person considering the following: <div class="i1">a. During 24 hours of the day (Circles 1 and 4): In a dwelling they receive drinking water 24 hours a day all year, except when there are announced repairs, during the dry and rainy season. b. Part of the day (Circles 2 and 5): In a dwelling they receive drinking water some time during the day during the dry and rainy season.</div> [p. 51] <div class="i1">c. Occasionally (Circles 3 and 6): When a dwelling spends more than a day without receiving drinking water, it is interpreted that they put up with this situation frequently and that the absence of water is not due to an eventual maintaining or repairing of the water tower during the dry or rainy season.</div> </svar> Panama 2000: Private occupant present households with private or public adqueduct [discrepancies: none] This variable indicates the regularity of the water supply during the dry season. 1 24 hours a day 2 Part of the day 3 Occasionally 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Water supply during the rainy season <svar v="PA00A052 PA00A053" a="all">11. With what regularity does the dwelling have a supply of drinking water? <div class="i1">(Select for each season the most common situation) During the dry season? [] 1 24 hours per day [] 2 Part of the day [] 3 Occasionally During the rainy season? [] 4 24 hours per day [] 5 Part of the day [] 6 Occasionally</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A052 PA00A053" a="all">Question No. 11: With what regularity does the dwelling have a supply of drinking water? (Select for each season the situation that prevails most) The objective of this question is to know the periodicity, with which the dwelling has this service, which will permit the institution in charge to take the necessary measures. Remember that this question is asked when there is something in the circles 1 to 3 marked in question 9. It refers to the regularity in the supply of drinkable water which the dwelling has, according to the situation that prevails most both in the dry season as well as the rainy season. This question should be asked in the following manner: With what regularity does the supply of drinking water have during the dry season? Read the options. Mark the response that the person declares. Both under the heading relative to "During the dry season" as well as the heading relative to "During the rainy season" the questionnaire presents 3 options for response, in which the most prevalent in each case should be marked. Mark the response of the person considering the following: <div class="i1">a. During 24 hours of the day (Circles 1 and 4): In a dwelling they receive drinking water 24 hours a day all year, except when there are announced repairs, during the dry and rainy season. b. Part of the day (Circles 2 and 5): In a dwelling they receive drinking water some time during the day during the dry and rainy season.</div> [p. 51] <div class="i1">c. Occasionally (Circles 3 and 6): When a dwelling spends more than a day without receiving drinking water, it is interpreted that they put up with this situation frequently and that the absence of water is not due to an eventual maintaining or repairing of the water tower during the dry or rainy season.</div> </svar> Panama 2000: Private occupant present households with private or public adqueduct [discrepancies: none] This variable indicates the regularity of the water supply during the rainy season. 1 24 hours a day 2 Part of the day 3 Occasionally 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Type of lighting <svar v="PA00A054" a="all">12. What type of lighting does the dwelling have? <div class="i1">[] 1 Public Electric (Distributing company) [] 2 Community Electric [] 3 Own electric (generator) [] 4 Kerosene or Diesel [] 5 Gas [] 6 Other</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A054" a="all">Question No. 12: What type of lighting does the dwelling have? The objective of this question is to know the source by which the persons in the dwelling are illuminated. Mark a single circle according to the response of the person. <div class="i1">a. Public Electricity (Distributor company) (Circle 1): When the dwelling has electric installations provided from distributor companies. Examples: Northeast Electric, S. A., Electric Transmission Company, S. A. (ETESA).</div> [To the right of the text are pictures of an electric lamp and power lines.] [p. 52] <div class="i1">b. Community electricity (Circle 2): When a dwelling has electric installations provided from the community. c. Own electricity (plant) (Circle 3): When a dwelling has electric installations generated by an owned plant of private use. d. Kerosene or diesel (Circle 4): When occupants of a dwelling are illuminated with kerosene or diesel. e. Gas (Circle 5): When occupants of a dwelling are illuminated with gas. f. Other (Circle 6): When occupants of a dwelling use another type of lighting that is not listed above. (Example: Candles, solar energy, etc.).</div> </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the type of lighting in the dwelling. 1 Electric, public system 2 Electric, community system 3 Electric, private (generator) 4 Kerosene/diesel 5 Gas 6 Other 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Period of construction of the dwelling <svar v="PA00A055" a="all">13. In what period was the dwelling built? <div class="i1">[] 1 Before 1990 [] 2 Between 1990 and 1995 [] 3 Between 1996 and 2000 [] 4 Doesn't know</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A055" a="all">Question No. 13: In what period was this dwelling built? Information that is obtained in this question will permit us to determine the amount of dwellings that have been built in each space of time and at the same time to verify the statistical study of the construction in the period between censuses. [To the left of the text is a picture of a house.] Mark a single circle according to the response of the person. Read the given alternatives in the questionnaire. Some times a situation can be presented in which a person does not know the date of construction. In this case it is recommended to request information from other routes (neighbor, lessee, etc.), when you are enumerating apartment buildings or tenement houses, the information should be equal for all the dwellings. If finally you do not succeed in obtaining the required information, mark circle 4 "Not known." </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates the period of construction of the dwelling. 1 Before 1990 2 1990 - 1995 3 1996 - 2000 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Garbage collection <svar v="PA00A056" a="all">14. How is garbage waste removed from this dwelling? <div class="i1">[] 1 Public collection truck [] 2 Private collection truck [] 3 In vacant land [] 4 River, stream or sea [] 5 Incineration or burning [] 6 Burial [] 7 Other method</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A056" a="all">Question No. 14: How is garbage waste removed from this dwelling? What is wanted with this question is to gather information about how, generally, trash of a dwelling is thrown away, to measure possible sources of environmental pollution. [To the left of the text is the "reduce, reuse, recycle" logo and to the right of the text is a picture of a trash can and bag.] Mark a single circle, agreeing with the response that the person declares. </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates how trash is disposed from the dwelling. 1 Public garbage truck 2 Private garbage truck 3 Vacant land 4 River, stream or sea 5 Incineration or burning 6 Burial 7 Other method 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Economic activity in the dwelling <svar v="PA00A057 PA00A058" a="all">15. Is part of the dwelling used exclusively for any economic activity? <div class="i1">[] 1 Yes</div> <div class="i2">(specify the activity) ____</div> <div class="i1">[] 2 No</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A057 PA00A058" a="all">Question 15: Is part of the dwelling used exclusively for any economic activity? What is wanted with this question is to know if in this dwelling there is any area exclusive for economic activities, such as: store, workshop, work in dressmaking, beauty, cooking, etc. Mark a single circle according to the response of the person. If the response is yes, specify the activity. </svar> Panama 2000: Private households with occupants present [discrepancies: none] This variable indicates whether there is economic activity in the dwelling. 1 Yes 2 No 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Household economic activity <svar v="PA00A057 PA00A058" a="all">15. Is part of the dwelling used exclusively for any economic activity? <div class="i1">[] 1 Yes</div> <div class="i2">(specify the activity) ____</div> <div class="i1">[] 2 No</div> </svar> <svar v="PA00A042 PA00A043 PA00A044 PA00A045 PA00A046 PA00A047 PA00A048 PA00A049 PA00A050 PA00A051 PA00A052 PA00A053 PA00A054 PA00A055 PA00A056 PA00A057 PA00A058">Questions 3 to 15 are only asked at dwellings with occupants present (Circle 1). </svar> <svar v="PA00A057 PA00A058" a="all">Question 15: Is part of the dwelling used exclusively for any economic activity? What is wanted with this question is to know if in this dwelling there is any area exclusive for economic activities, such as: store, workshop, work in dressmaking, beauty, cooking, etc. Mark a single circle according to the response of the person. If the response is yes, specify the activity. </svar> Panama 2000: Private occupants present households with economic activity in the dwelling [discrepancies: none] This variable indicates the type of economic activity conducted in the dwelling. 1541 Manufacture of bakery goods 1811 Manufacture or clothing, except leather clothing 2811 Manufacture of metallic products for structural use, aluminum windows 3611 Manufacture of furniture made of wood, upholstery 3699 Other manufacturing industries not listed elsewhere 5211 Retail commerce in non-specialized stores with a selection comprised principally of foods, beverages, and tobacco 5220 Retail commerce of foods, beverages and tobacco in specialized stores 5260 Repair of personal goods and household items 5272 Maintenance and repair of automotive vehicles, car wash, refinishing 5273 Sale of parts, pieces and accessories for automotive vehicles 5275 Retail sale of fuel for automobiles 5299 Other retail and wholesale 5520 Restaurants, bars and cantinas 7011 Real estate activities 9302 Hairdressers and other beauty treatments 9500 Other activities, response suppressed 9900 Activities not well specified 9999 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Income of the dwelling Panama 2000: All households This variable indicates the income of the dwelling. PA00A059 is an 8-digit numeric variable. Codes9999999 = Unknown Household Economic Variables -- HOUSEHOLD Type of toilet facilities <svar v="PA00A062" a="all">16. Does this household have toilet facilities . . . <div class="i1">[] 1 Pit or latrine? [] 2 Connected to sewer system? [] 3 Connected to a septic tank? [] 4 None? (Skip to question 18)</div> </svar> <svar v="PA00A062" a="all">Question No. 16: Does this home have toilet facilities? The object of this question is to determine if a home has or does not have a bathroom (toilet) or any form for eliminating human waste, independent of the material of which it has been built. This question alludes to the availability of a system of elimination of excreta or feces, which can be exclusive for the home or shared with other homes. [To the left of the text is a photograph of an outhouse that is very hard to see.] Read the question and each of the following options for the response that appears in the questionnaire. After the person indicates one of the 4 options, you should consider that only one circle can be marked according to this response. Make explanations that you consider necessary keeping in mind the following: <div class="i1">a) Facilities of pit or latrine: is formed by a deep pit in the ground covered by a small hut. This type of facilities is characteristic en rural areas of the country. b) Toilet facilities connected to a sewer system: is connected to a system of pipes that belongs to the community or part of it, for the collection of used water from toilets.</div> [p. 56] <div class="i1">c) Toilet facilities connected to a septic tank: is generally built from waterproof concrete. It is used more frequently in suburban areas, where there is a water system, but no sanitary sewers. In the case of Areas or Urbanizations that have a septic tank for all dwellings consider the facilities as connected to a sewer system. d) If the home does not have toilet facilities, mark circle 4 (there are none) and go immediately to question 18.</div> </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates the type of toilet facilities in the dwelling. 1 Pit or latrine 2 Connected to sewer 3 Connected to a septic tank 4 Doesn't have 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Exclusive use of toilet facilities <svar v="PA00A063" a="all">17. The use of the toilet facilities is . . . <div class="i1">[] 1 Exclusive to this household? [] 2 Shared with other households?</div> </svar> <svar v="PA00A063" a="all">Question No. 17: The use of toilet facilities is . . . Only ask this question if you marked any of the circles 1 to 3 in the last question. What is wanted in this question is to know if the toilet facilities declared in the last question (question 16) are exclusive to the house or shared with other homes, which are within this dwelling or outside of it. </svar> Panama 2000: Private households with occupants present that have toilet [discrepancies: type I 0.4%; type II none] This variable indicates whether the toilet facilities are used exclusively by the household. 1 Exclusive to the household 2 Shared with other households 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Fuel for cooking <svar v="PA00A064" a="all">18. In this dwelling, what cooking fuel is used most often? <div class="i1">[] 1 Gas [] 2 Wood [] 3 Charcoal [] 4 Kerosene [] 5 Electricity [] 6 No cooking</div> </svar> <svar v="PA00A064" a="all">Question No. 18: In this dwelling, what cooking fuel is used most often? The objective of this question is to know the type of fuel that is used most frequently for cooking in this home; also to indicate the availability for the population as well as the exploitation of natural resources (fire wood). It refers to the fuel that is used most frequently for cooking in the home whether it be gas, fire wood, coal, kerosene or electricity. In case a person declares to not cook, mark the corresponding circle. Remember that this question only should have one circle marked. </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates the type of fuel used for cooking. 1 Gas 2 Wood 3 Charcoal 4 Kerosene 5 Electricity 6 No cooking 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Television 19. Does this household possess a . . . <div class="i1">Television?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a television. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio 19. Does this household possess a . . . <div class="i1">Radio?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a radio. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Residential telephone 19. Does this household possess a . . . <div class="i1">Residential telephone?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a residential telephone line. 1 Yes 2 No 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Cellular telephone 19. Does this household possess a . . . <div class="i1">Cellular telephone?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a cellular telephone. 1 Yes 2 No 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Cook stove 19. Does this household possess a . . . <div class="i1">Stove?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a cook stove. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator 19. Does this household possess a . . . <div class="i1">Refrigerator?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a refrigerator. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Washing machine 19. Does this household possess a . . . <div class="i1">Washing machine?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a washing machine. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Electric fan 19. Does this household possess a . . . <div class="i1">Electric fan?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has an electric fan. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Air conditioner 19. Does this household possess a . . . <div class="i1">Air conditioner?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has an air conditioner. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Sewing machine 19. Does this household possess a . . . <div class="i1">Sewing machine?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a sewing machine. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Computer 19. Does this household possess a . . . <div class="i1">Computer?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a computer. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Automobile 19. Does this household possess a . . . <div class="i1">Automobile?</div><div class="i2">[] 1 Yes [] 2 No</div> <svar v="PA00A065 PA00A066 PA00A067 PA00A068 PA00A069 PA00A070 PA00A071 PA00A072 PA00A073 PA00A074 PA00A075 PA00A076" a="all">Question No. 19: Does this household possess a . . ? What is wanted from this question is to gather information about the existence of appliances that offer members a large convenience. Ask the question as it is written and read all the appliances that are included in the questionnaire. Mark with an "X" the circles agreeing with the responses that the person gives you. If a person states that any appliance is broken, ask if it has been repaired. If the response is affirmative, mark " yes", and if contrary mark " no". Remember that there can be more than one response for this question. [Below the text are pictures of an electric fan, portable stereo, washing machine, car, a man with a cell phone, computer, calculator and television set.] </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has an automobile. 1 Yes 2 No 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Household income Panama 2000: Collective dwellings and private households with occupants present [discrepancies: none] This variable indicates the household income. PA00A080 is an 8-digit numeric variable. Codes999998 = Unknown 999999 = NIU (not in universe) Household Economic Variables -- HOUSEHOLD Household type Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates the household type. 1 Single person (unipersonal) 2 Nuclear 3 Extended 4 Composite 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Member in another country <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether the household has a member who has left permanently for another country in the last ten years. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Year of departure for first member <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: type I trace; type II none] This variable indicates the year of departure of the first household member who has left permanently for another country in the last ten years. 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 9998 Unknown 9999 NIU (not in universe) Other Household Variables -- HOUSEHOLD Country to which the first member went <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: type I trace; type II none] This variable indicates the country the first household member who has left permanently for another country in the last ten years has gone to. 103 Canada 105 United States of America 107 Mexico 218 Costa Rica 275 Puerto Rico 311 Colombia 417 Spain 990 Other country, response suppressed 999 NIU (not in universe) Other Household Variables -- HOUSEHOLD Age of first member at departure <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: type I trace; type II none] This variable indicates the age at departure of the first household member who has left permanently for another country in the last ten years. 000 0 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 067 67 068 68 071 71 072 72 074 74 076 76 077 77 078 78 079 79 081 81 082 82 084 84 085 85 089 89 098 98 099 Unknown 999 NIU (not in universe) Other Household Variables -- HOUSEHOLD Sex of the first member who departed <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: type I trace; type II none] This variable indicates the sex of the first household member who has left permanently for another country in the last ten years. 1 Male 2 Female 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Year of departure for second member <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: none] This variable indicates the year of departure of the second household member who has left permanently for another country in the last ten years. 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 9997 One member migrated to another country 9998 Unknown 9999 NIU (not in universe) Other Household Variables -- HOUSEHOLD Country to which the second member went to <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: none] This variable indicates the country to which the second household member who has left permanently for another country in the last ten years has departed to. 105 United States of America 218 Costa Rica 990 Other country, response suppressed 998 Have one member migrated to another country 999 NIU (not in universe) Other Household Variables -- HOUSEHOLD Age of second member at departure <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: none] This variable indicates the age at departure of the second household member who has left permanently for another country in the last ten 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 45 45 47 47 48 48 49 49 50 50 53 53 54 54 57 57 60 60 65 65 72 72 75 75 79 79 81 81 97 Have one member migrated to another country 98 Unknown 99 NIU (not in universe) Other Household Variables -- HOUSEHOLD Sex of the second member who departed <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: none] This variable indicates the sex of the second household member who has left permanently for another country in the last ten years. 1 Male 2 Female 7 Have one member migrated to another country 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Year of departure for third member <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: none] This variable indicates the year of departure of the third household member who has left permanently for another country in the last ten years. 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 9997 One or two members migrated to another country 9998 Unknown 9999 NIU (not in universe) Other Household Variables -- HOUSEHOLD Country to which the third member went to <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: none] This variable indicates the country to which the third household member who has left permanently for another country in the last ten years has departed to. 105 United States of America 990 Other country, response suppressed 997 Have one or two members migrated to another country 999 NIU (not in universe) Other Household Variables -- HOUSEHOLD Age of third member at departure <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: none] This variable indicates the age at departure of the third household member who has left permanently for another country in the last ten 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 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 36 36 37 37 42 42 45 45 46 46 47 47 67 67 83 83 97 One or two members migrated to another country 98 Unknown 99 NIU (not in universe) Other Household Variables -- HOUSEHOLD Sex of third member who departed <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">20. During the last ten years, has any member of this household left to live permanently in another country? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes", an arrow points to a table with spaces to fill in the following information for up to three individuals] ____ 1. Name of the person ____ 2. Left in what year? _ _ _ _ ____ 3. Went to which country? _ _ _ _ _ 4. Age at time of departure? ____ 5. Sex (male or female) _</div> <div class="i1">[] 2 No (Go on to question 21</div> </svar> <svar v="PA00A082 PA00A083 PA00A084 PA00A085 PA00A086 PA00A087 PA00A088 PA00A089 PA00A090 PA00A091 PA00A092 PA00A093 PA00A094" a="all">Question No. 20: During the last ten years, has any member of this household left to live permanently in another country? What is wanted with this question is to determine and identify persons, by home, who have left to live in another country in the last decade. This question refers to persons who have left to live abroad permanently therefore do not consider those who are studying in another country or persons who are outside the country because of vacation, work or other reason. Mark a single circle according to the response of the person. [To the left of the text is a picture of a globe.] If the response is " yes" ask the name of the person, year in which they left, the country to which they went the age when they left and the sex, write it down in the space meant for each question. Write "H" for man and "M" for woman. </svar> Panama 2000: Private households with occupants present who have members in another country [discrepancies: none] This variable indicates the sex of the third household member who has left permanently for another country in the last ten years. 1 Male 2 Female 7 Have one or two members migrated to another country 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Death of any member <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">21. Between May 15, 1999 and today, has any member of this household died? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes" an arrow points to a table with spaces to fill in the following information for up to four individuals] ____ 1. Name of the person _ _ 2. Age at death 3. Sex (male or female) [] 1 Male [] 2 Female</div> <div class="i1">[] 2 No (Go on to the List of Occupants, Section IV)</div> </svar> <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">Question No. 21: Between May 15, 1999 and today, has any member of this household died? This question has the purpose of knowing the general current mortality of the whole population, from the period of May 15, 1999 to the census date, that is to say, the mortality in the last twelve months. [To the right of the text is a picture of three crosses.] If the marked response is yes, write down the name, age and sex of the deceased person. Write down the age in completed years of the person on the last birthday. Remember that this question is concerning the members of this home and not of the family. If a person declares that the deceased person was 98 or older write down 98. Only completed years are considered; the minors of one year are registered as 00 years. If the answer is " no" continue to Section IV. List of Occupants. </svar> Panama 2000: Private households with occupants present [discrepancies: type I 0.4%; type II none] This variable indicates whether any household member had died in the past 12 months. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Age at death for first member <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">21. Between May 15, 1999 and today, has any member of this household died? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes" an arrow points to a table with spaces to fill in the following information for up to four individuals] ____ 1. Name of the person _ _ 2. Age at death 3. Sex (male or female) [] 1 Male [] 2 Female</div> <div class="i1">[] 2 No (Go on to the List of Occupants, Section IV)</div> </svar> <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">Question No. 21: Between May 15, 1999 and today, has any member of this household died? This question has the purpose of knowing the general current mortality of the whole population, from the period of May 15, 1999 to the census date, that is to say, the mortality in the last twelve months. [To the right of the text is a picture of three crosses.] If the marked response is yes, write down the name, age and sex of the deceased person. Write down the age in completed years of the person on the last birthday. Remember that this question is concerning the members of this home and not of the family. If a person declares that the deceased person was 98 or older write down 98. Only completed years are considered; the minors of one year are registered as 00 years. If the answer is " no" continue to Section IV. List of Occupants. </svar> Panama 2000: Private households with occupants present with at least a member who has died [discrepancies: type I trace; type II none] This variable indicates the age at death for the first member who died in the past 12 months. 000 0 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 998 Unknown 999 NIU (not in universe) Other Household Variables -- HOUSEHOLD Sex of the first deceased member <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">21. Between May 15, 1999 and today, has any member of this household died? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes" an arrow points to a table with spaces to fill in the following information for up to four individuals] ____ 1. Name of the person _ _ 2. Age at death 3. Sex (male or female) [] 1 Male [] 2 Female</div> <div class="i1">[] 2 No (Go on to the List of Occupants, Section IV)</div> </svar> <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">Question No. 21: Between May 15, 1999 and today, has any member of this household died? This question has the purpose of knowing the general current mortality of the whole population, from the period of May 15, 1999 to the census date, that is to say, the mortality in the last twelve months. [To the right of the text is a picture of three crosses.] If the marked response is yes, write down the name, age and sex of the deceased person. Write down the age in completed years of the person on the last birthday. Remember that this question is concerning the members of this home and not of the family. If a person declares that the deceased person was 98 or older write down 98. Only completed years are considered; the minors of one year are registered as 00 years. If the answer is " no" continue to Section IV. List of Occupants. </svar> Panama 2000: Private households with occupants present with at least a member who has died [discrepancies: type I trace; type II none] This variable indicates the sex of the first household member who died in the past 12 months. 1 Male 2 Female 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Age of the second deceased member at death <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">21. Between May 15, 1999 and today, has any member of this household died? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes" an arrow points to a table with spaces to fill in the following information for up to four individuals] ____ 1. Name of the person _ _ 2. Age at death 3. Sex (male or female) [] 1 Male [] 2 Female</div> <div class="i1">[] 2 No (Go on to the List of Occupants, Section IV)</div> </svar> <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">Question No. 21: Between May 15, 1999 and today, has any member of this household died? This question has the purpose of knowing the general current mortality of the whole population, from the period of May 15, 1999 to the census date, that is to say, the mortality in the last twelve months. [To the right of the text is a picture of three crosses.] If the marked response is yes, write down the name, age and sex of the deceased person. Write down the age in completed years of the person on the last birthday. Remember that this question is concerning the members of this home and not of the family. If a person declares that the deceased person was 98 or older write down 98. Only completed years are considered; the minors of one year are registered as 00 years. If the answer is " no" continue to Section IV. List of Occupants. </svar> Panama 2000: Private households with occupants present with at least a member who has died [discrepancies: none] This variable indicates the age at death of the second household member who died in the past 12 months. 000 0 001 1 002 2 003 3 012 12 017 17 021 21 022 22 023 23 024 24 025 25 026 26 028 28 029 29 030 30 034 34 035 35 037 37 041 41 043 43 045 45 047 47 048 48 050 50 051 51 058 58 059 59 062 62 064 64 065 65 066 66 067 67 072 72 073 73 078 78 080 80 082 82 084 84 086 86 093 93 096 96 097 97 098 98 997 Only one member deceased 998 Unknown 999 NIU (not in universe) Other Household Variables -- HOUSEHOLD Sex of the second deceased member <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">21. Between May 15, 1999 and today, has any member of this household died? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes" an arrow points to a table with spaces to fill in the following information for up to four individuals] ____ 1. Name of the person _ _ 2. Age at death 3. Sex (male or female) [] 1 Male [] 2 Female</div> <div class="i1">[] 2 No (Go on to the List of Occupants, Section IV)</div> </svar> <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">Question No. 21: Between May 15, 1999 and today, has any member of this household died? This question has the purpose of knowing the general current mortality of the whole population, from the period of May 15, 1999 to the census date, that is to say, the mortality in the last twelve months. [To the right of the text is a picture of three crosses.] If the marked response is yes, write down the name, age and sex of the deceased person. Write down the age in completed years of the person on the last birthday. Remember that this question is concerning the members of this home and not of the family. If a person declares that the deceased person was 98 or older write down 98. Only completed years are considered; the minors of one year are registered as 00 years. If the answer is " no" continue to Section IV. List of Occupants. </svar> Panama 2000: Private households with occupants present with at least a member who has died [discrepancies: none] This variable indicates the sex of the second household member who died in the past 12 months. 1 Male 2 Female 7 Only one member deceased 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Age of the third deceased member at death <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">21. Between May 15, 1999 and today, has any member of this household died? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes" an arrow points to a table with spaces to fill in the following information for up to four individuals] ____ 1. Name of the person _ _ 2. Age at death 3. Sex (male or female) [] 1 Male [] 2 Female</div> <div class="i1">[] 2 No (Go on to the List of Occupants, Section IV)</div> </svar> <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">Question No. 21: Between May 15, 1999 and today, has any member of this household died? This question has the purpose of knowing the general current mortality of the whole population, from the period of May 15, 1999 to the census date, that is to say, the mortality in the last twelve months. [To the right of the text is a picture of three crosses.] If the marked response is yes, write down the name, age and sex of the deceased person. Write down the age in completed years of the person on the last birthday. Remember that this question is concerning the members of this home and not of the family. If a person declares that the deceased person was 98 or older write down 98. Only completed years are considered; the minors of one year are registered as 00 years. If the answer is " no" continue to Section IV. List of Occupants. </svar> Panama 2000: Private households with occupants present with at least a member who has died [discrepancies: none] This variable indicates the age at death of the third household member who died in the past 12 months. 00 0 02 2 86 86 97 One or two members deceased 99 NIU (not in universe) Other Household Variables -- HOUSEHOLD Sex of the third deceased member <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">21. Between May 15, 1999 and today, has any member of this household died? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes" an arrow points to a table with spaces to fill in the following information for up to four individuals] ____ 1. Name of the person _ _ 2. Age at death 3. Sex (male or female) [] 1 Male [] 2 Female</div> <div class="i1">[] 2 No (Go on to the List of Occupants, Section IV)</div> </svar> <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">Question No. 21: Between May 15, 1999 and today, has any member of this household died? This question has the purpose of knowing the general current mortality of the whole population, from the period of May 15, 1999 to the census date, that is to say, the mortality in the last twelve months. [To the right of the text is a picture of three crosses.] If the marked response is yes, write down the name, age and sex of the deceased person. Write down the age in completed years of the person on the last birthday. Remember that this question is concerning the members of this home and not of the family. If a person declares that the deceased person was 98 or older write down 98. Only completed years are considered; the minors of one year are registered as 00 years. If the answer is " no" continue to Section IV. List of Occupants. </svar> Panama 2000: Private households with occupants present with at least a member who has died [discrepancies: none] This variable indicates the sex of the third household member who died in the past 12 months. 1 Male 2 Female 7 One or two members deceased 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Age of the fourth deceased member at death <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">21. Between May 15, 1999 and today, has any member of this household died? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes" an arrow points to a table with spaces to fill in the following information for up to four individuals] ____ 1. Name of the person _ _ 2. Age at death 3. Sex (male or female) [] 1 Male [] 2 Female</div> <div class="i1">[] 2 No (Go on to the List of Occupants, Section IV)</div> </svar> <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">Question No. 21: Between May 15, 1999 and today, has any member of this household died? This question has the purpose of knowing the general current mortality of the whole population, from the period of May 15, 1999 to the census date, that is to say, the mortality in the last twelve months. [To the right of the text is a picture of three crosses.] If the marked response is yes, write down the name, age and sex of the deceased person. Write down the age in completed years of the person on the last birthday. Remember that this question is concerning the members of this home and not of the family. If a person declares that the deceased person was 98 or older write down 98. Only completed years are considered; the minors of one year are registered as 00 years. If the answer is " no" continue to Section IV. List of Occupants. </svar> Panama 2000: Private households with occupants present with at least a member who has died [discrepancies: none] This variable indicates the age of the fourth household member who died in the past 12 months. 1 1 7 One to three members deceased 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Sex of the fourth deceased member at death <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">21. Between May 15, 1999 and today, has any member of this household died? <div class="i1">[] 1 Yes</div> <div class="i2">[Under "yes" an arrow points to a table with spaces to fill in the following information for up to four individuals] ____ 1. Name of the person _ _ 2. Age at death 3. Sex (male or female) [] 1 Male [] 2 Female</div> <div class="i1">[] 2 No (Go on to the List of Occupants, Section IV)</div> </svar> <svar v="PA00A095 PA00A096 PA00A097 PA00A098 PA00A099 PA00A100 PA00A101 PA00A102 PA00A103" a="all">Question No. 21: Between May 15, 1999 and today, has any member of this household died? This question has the purpose of knowing the general current mortality of the whole population, from the period of May 15, 1999 to the census date, that is to say, the mortality in the last twelve months. [To the right of the text is a picture of three crosses.] If the marked response is yes, write down the name, age and sex of the deceased person. Write down the age in completed years of the person on the last birthday. Remember that this question is concerning the members of this home and not of the family. If a person declares that the deceased person was 98 or older write down 98. Only completed years are considered; the minors of one year are registered as 00 years. If the answer is " no" continue to Section IV. List of Occupants. </svar> Panama 2000: Private households with occupants present with at least a member who has died [discrepancies: none] This variable indicates the sex of the fourth household member who died in the past 12 months. 1 Male 2 Female 7 One to three members deceased 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Strata Panama 2000: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 4-digit numeric variable with 0 implied decimal places Geography: O-Z 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 Number of births last year BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. 0 None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 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, Panama BPLPA indicates the person's province of birth within Panama. 01 Bocas del Toro 02 Coclé 03 Colón 04 Chiriqui 05 Darién 06 Herrera 07 Los Santos 08 Panamá 09 Veraguas 10 Comarca Kuna Yala (San Blas) 11 and 12 Comarca Ngoble-Bugle 90 Born outside the country 98 Unknown Nativity and Birthplace Variables -- PERSON Member of an indigenous group INDIG indicates whether the person belonged to an indigenous group. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Ethnicity and Language Variables -- PERSON Ethnicity (indigenous group) for Panama ETHNICPA indicates the Panamanian indigenous group, if any, to which the person belonged. 01 Kuna 02 Ngäbe 03 Buglé 04 Teribe/Naso 05 Bokota 06 Emberá 07 Wounaan 08 Bri Bri 09 Other indigenous group 10 Not indigenous 99 Unknown Ethnicity and Language Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON 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, Panama EDUCPA indicates the person's educational attainment in Panama in terms of the level of schooling completed and the number of years completed at that level. 00 Less than primary 01 No schooling 02 Special education 03 Preschool 10 Primary 11 Primary, grade 1 12 Primary, grade 2 13 Primary, grade 3 14 Primary, grade 4 15 Primary, grade 5 16 Primary, grade 6 19 Primary, grade unknown 20 Secondary 21 Secondary, grade 1 22 Secondary, grade 2 23 Secondary, grade 3 24 Secondary, grade 4 25 Secondary, grade 5 26 Secondary, grade 6 29 Secondary, grade unknown 30 Post-secondary, non-university 31 Post-secondary non-university, year 1 32 Post-secondary non-university, year 2 33 Post-secondary non-university, year 3 39 Post-secondary non-university, year unknown 40 Vocational 41 Vocational, year 1 42 Vocational, year 2 43 Vocational, year 3 49 Vocational, year unknown 50 University 51 University, 1 year 52 University, 2 years 53 University, 3 years 54 University, 4 years 55 University, 5 years 56 University, 6 years 57 University, 7 years 58 University, 8+ years 59 University, year unknown 60 Post-graduate 70 Master's degree 71 Masters, 1 year 72 Masters, 2 years 73 Masters, year unknown 80 Doctorate 81 Year 1 or 2 82 Doctorate, 1 year 83 Doctorate, 2 years 84 Doctorate, 3 years 85 Doctorate, 4 years 86 Doctorate, year unknown 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 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 Occupation, ISCO-1988, 3-digit ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification. 010 Armed forces 111 Legislators 112 Senior government officials 113 Traditional chiefs and heads of villages 114 Senior officials of special-interest organizations 121 Directors and chief executives 122 Production and operations department managers 123 Other department managers 131 General managers 199 Legislators, senior officials and managers not elsewhere classified 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 299 Professionals no elsewhere classified 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipment operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 331 Primary education teaching associate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government associate professionals 345 Police inspectors and detectives 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 399 Technicians and associate professionals not elsewhere classified 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 499 Clerks not elsewhere classified 511 Travel attendants and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 515 Astrologers, fortune-tellers and related workers 516 Protective services workers 521 Fashion and other models 522 Shop salespersons and demonstrators 523 Stall and market salespersons 599 Service workers and shop and market sales workers not elsewhere classified 611 Market gardeners and crop growers 612 Market-oriented animal producers and related workers 613 Market-oriented crop and animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 621 Subsistence agricultural and fishery workers 699 Skilled agricultural and fishery workers not elsewhere classified 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related trades workers 721 Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers 722 Blacksmiths, tool-makers and related trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics and fitters 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 733 Handicraft workers in wood, textile, leather and related materials 734 Printing and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 799 Craft and related trade workers not elsewhere classified 811 Mining- and mineral-processing-plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 817 Automated-assembly-line and industrial-robot operators 821 Metal- and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 824 Wood-products machine operators 825 Printing-, binding- and paper-products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operators 828 Assemblers 829 Other machine operators and assemblers 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 Ships' deck crews and related workers 899 Other plant and machine operaters and assemblers not elsewhere classified 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 921 Agricultural, fishery and related labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 989 Elementary occupations not elsewhere classified 990 Other workers, not elsewhere classified 998 Unknown 999 NIU (not in universe) 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 Type of work contract (indefinite or fixed term) WRKCONTRCT refers to the person's type of work contract, whether it is indefinite (permanent) or fixed-term (temporary). 10 Indefinite 20 Fixed-term 21 Test or trial period 22 Training or apprenticeship 23 Specific project or task 24 Seasonal or as needed (casual) 25 Covering the absence of another worker 26 Other or unspecified fixed-term contract 97 No written contract 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Sector of employment EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked. 00 NIU (not in universe) 10 Public 20 Private 21 Private, not elsewhere classified 22 Individual/family enterprise, and self-employed 23 Foreign 30 Mixed: public-private or parastatal 40 Collective or cooperative 50 Foreign government or non-governmental organization 60 Other, unspecified 61 Canal zone 62 Faith-based organization 63 Informal sector 99 Unknown Work Variables -- PERSON Earned income INCEARN reports the person's total income from their labor (from wages, a business, or a farm) in the previous month or year. INCEARN is an 8-digit numeric variable. Codes99999998 = Unknown/missing. 99999999 = NIU (not in universe). Top codes:Canada 1971: 50,000+ Canada 1981: 75,000+ Canada 2001: 200,000+ Israel 1972: 16,000+ Israel 2008: 275,653+ Mexico 1990: 90,000,000+ Mexico 2000: 999,998+ Mexico 2010-2020: 1,000,000+ Panama 2000: 9,997+ Puerto Rico 1990: 999,999+ Puerto Rico 2000: 310,000+ U.S.A. 1990: State median of values over 284,000 U.S.A. 2000: 310,000+ U.S.A. 2005: 9,999,999+ Venezuela 1971: 2000+ Bottom codes:Canada 1981-2001: -50,000 Puerto Rico 1990-2020: -9,999 U.S.A. 1990: -19,996 U.S.A. 2000-2005, 2015-2020: -9,999 U.S.A. 2010: -9,900 Income Variables -- PERSON Wage and salary income INCWAGE reports the respondent's weekly, monthly or annual wage and salary income. INCWAGE is a 7-digit numeric variable. Codes9999998 = Unknown/missing. 9999999 = NIU (not in universe). Top codes:Israel 1983: 74,716+ Israel 1995: 20,000+ Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions Canada 1991-2001: 200,000+ Dominican Republic 1981: 2000+ Germany 1970: 2,500+ Indonesia 1995: 9,999,997+ Italy Surveys 2011-2020: 3000+ Jamaica 1982: 100,000+ Jamaica 1991: 100,000+ Jamaica 2001: 3,000,000+ Panama 1970: 800+ Panama 2000: 9,997+ Panama 2010: 10,000+ Puerto Rico 1970-1980: 50,000+ Puerto Rico 1990: 140,000+ Puerto Rico 2000: 175,000+ Puerto Rico 2005: 999,999+ Puerto Rico 2010: 173,000+ Puerto Rico 2015-2020: 99.5th percentile in the state (higher values are the state means of all cases above these cutoffs.) Trinidad and Tobago 2000: 55,000+ U.S.A. 1960: 25,000+ U.S.A. 1970: 50,000+ U.S.A. 1980: 75,000+ U.S.A. 1990: State median of values over 140,000 U.S.A. 2000: State median of values over 175,000 U.S.A. 2005-2020: 99.5th percentile within each state (higher values are the state means of all cases above these cutoffs.) Income Variables -- PERSON Self-employment income INCSELF indicates the respondent's monthly or annual income from self-employment (farm and business). INCSELF is a 6-digit numeric variable. Codes999998 = Unknown/missing. 999999 = NIU (not in universe). Country-specific codes Israel 1995 Top codes:Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions Canada 1991-2001: 200,000+ Israel 1995: 40,000+ Israel 2008: 279,950+ Panama 2000: 9,997+ Panama 2010: 5,000+ Puerto Rico 1980: 50,000 Puerto Rico 1990: 64,146 Puerto Rico 2000: 367,000 (median of values over 126,000) Puerto Rico 2005 - 2020: 99.5th percentile in each state Trinidad and Tobago 2000: 11,000+ U.S.A. 1970: 50,000 U.S.A. 1980: 75,000 U.S.A. 1990: 171,250 U.S.A. 2000: 126,000 (State median of values over 126,000) U.S.A. 2005 - 2020: 99.5th percentile in each state Bottom codes:Canada 1981-2001: -50,000 Puerto Rico 1970: 0. Puerto Rico 1980: -9,995 Puerto Rico 1990: -4,999 Puerto Rico 2000: -10,000 Puerto Rico 2005 - 2020: -9,999 U.S.A. 1970: -9,900 U.S.A. 1980: -9,995 U.S.A. 1990: -9,999 U.S.A. 2000: -10,000 U.S.A. 2005 - 2020: -9,999 Income Variables -- PERSON Retirement or pension income INCRET reports the amount of income the respondent received from a retirement program or account, or from a pension. The amounts are provided on a monthly or annual basis, depending on the sample. INCRET is a 6-digit numeric variable. Codes999998 = Unknown/missing. 999999 = NIU (not in universe). Top codes:Panama 2000: 9997+ U.S.A. 1990: State median of values over 30,000 U.S.A. 2000: State median of values over 52,000 U.S.A. 2005: State median of values over 41,000 U.S.A. 2010-2020: 99.5th percentile within each state (higher values are the state means of all cases above these cutoffs). Puerto Rico 1990: State median of values over 20,000 Puerto Rico 2000: Mean of values over 52,000 Puerto Rico 2005: Mean of values above the 99.5th percentile Puerto Rico 2010: 47,400+ Puerto Rico 2015, 2020: 99.5th percentile within the state (higher values are the state means of all cases above these cutoffs). Trinidad and Tobago 2000: 4000+ Income Variables -- PERSON Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON Country of previous residence MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15160 Sierra Leone 15170 Togo 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49990 Europe, n.s. 49991 Central and Eastern Europe 49992 European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON 1st subnational geographic level of previous residence, world [consistent boundaries over time] GEOMIG1_P indicates the major administrative unit in which the person previously resided prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of previous residence, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_1, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 051901 Yerevan [Province: Armenia] 051902 Aragatsotn [Province: Armenia] 051903 Ararat [Province: Armenia] 051904 Armavir [Province: Armenia] 051905 Gegharkunik [Province: Armenia] 051906 Lori [Province: Armenia] 051907 Kotayk [Province: Armenia] 051908 Shirak [Province: Armenia] 051909 Syunik [Province: Armenia] 051910 Vayots Dzor [Province: Armenia] 051911 Tavush [Province: Armenia] 051912 Nagorno-Karabagh [Province: Armenia] 051997 Foreign country [Province: Armenia] 051998 Unknown [Province: Armenia] 051999 NIU (not in universe) [Province: Armenia] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk, Minsk City [Region: Belarus] 112007 Mogilev [Region: Belarus] 112097 Foreign country [Region: Belarus] 112098 Unknown [Region: Belarus] 112099 NIU (not in universe) [Region: Belarus] 204001 Alibori [Department: Benin] 204002 Atacora [Department: Benin] 204003 Atlantique [Department: Benin] 204004 Borgou [Department: Benin] 204005 Collines [Department: Benin] 204006 Couffo [Department: Benin] 204007 Donga [Department: Benin] 204008 Littoral [Department: Benin] 204009 Mono [Department: Benin] 204010 Oueme [Department: Benin] 204011 Plateau [Department: Benin] 204012 Zou [Department: Benin] 204097 Abroad [Department: Benin] 204098 Unknown [Department: Benin] 204099 NIU (not in universe) [Department: Benin] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham, Tbong Khmum [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Phnom Penh, Kandal [Province: Cambodia] 116009 Koh Kong, Preah Sihanouk [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Ratanak Kiri [Province: Cambodia] 116017 Siem Reap, Otdar Meanchey [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 116097 Foreign country [Province: Cambodia] 116098 Unknown [Province: Cambodia] 116099 NIU (not in universe) [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 152001 Tarapaca [Province: Chile] 152002 Antofagasta [Province: Chile] 152003 Atacama [Province: Chile] 152004 Coquimbo [Province: Chile] 152005 Aconcagua [Province: Chile] 152006 Valparaíso [Province: Chile] 152007 Santiago [Province: Chile] 152008 O'Higgins [Province: Chile] 152009 Colchagua [Province: Chile] 152010 Curicó [Province: Chile] 152011 Talca [Province: Chile] 152012 Maule [Province: Chile] 152013 Linares [Province: Chile] 152014 Ñuble [Province: Chile] 152015 Concepción [Province: Chile] 152016 Arauco [Province: Chile] 152017 Bío Bío [Province: Chile] 152018 Malleco [Province: Chile] 152019 Cautín [Province: Chile] 152020 Valdivia [Province: Chile] 152021 Osorno [Province: Chile] 152022 Llanquihue [Province: Chile] 152023 Chiloé [Province: Chile] 152024 Aysén [Province: Chile] 152025 Magallanes [Province: Chile] 152097 Foreign country [Province: Chile] 152098 Unknown [Province: Chile] 152099 NIU (not in universe) [Province: Chile] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad [Department: Colombia] 170098 Unknown [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 192021 Pinar del Río, Artemisa, Mayabeque [Province: Cuba] 192023 La Habana [Province: Cuba] 192025 Matanzas [Province: Cuba] 192026 Villa Clara [Province: Cuba] 192027 Cienfuegos [Province: Cuba] 192028 Sancti Spíritus [Province: Cuba] 192029 Ciego de Ávila [Province: Cuba] 192030 Camagüey [Province: Cuba] 192031 Las Tunas [Province: Cuba] 192032 Holguín [Province: Cuba] 192033 Granma [Province: Cuba] 192034 Santiago de Cuba [Province: Cuba] 192035 Guantánamo [Province: Cuba] 192040 Isla de la Juventud [Province: Cuba] 192997 Abroad [Province: Cuba] 192998 Unknown [Province: Cuba] 192999 NIU (not in universe) [Province: Cuba] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 818000 Reported same governorate as household location [Governorate: Egypt] 818001 Giza, 6th October City, Cairo, Helwan [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Demietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818018 Menoufia, Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena, Luxor [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 818097 Abroad [Governorate: Egypt] 818098 Unknown [Governorate: Egypt] 818099 NIU (not in universe) [Governorate: Egypt] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 222098 Abroad [Department: El Salvador] 222099 NIU (not in universe) [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromia, Somali [Region: Ethiopia] 231006 Benishangul-Gumuz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and Peoples (SNNP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231097 Abroad [Region: Ethiopia] 231099 NIU [Region: Ethiopia] 250001 Guadeloupe [Region: France] 250002 Martinique [Region: France] 250003 French Guyana [Region: France] 250004 Réunion Island [Region: France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250097 Abroad [Region: France] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 324011 Boffa [Region: Guinea] 324012 Boké [Region: Guinea] 324013 Fria [Region: Guinea] 324014 Gaoual [Region: Guinea] 324015 Koundara [Region: Guinea] 324021 Conakry [Region: Guinea] 324031 Dabola [Region: Guinea] 324032 Dinguiraye [Region: Guinea] 324033 Faranah [Region: Guinea] 324034 Kissidougou [Region: Guinea] 324041 Kankan [Region: Guinea] 324042 Kérouané [Region: Guinea] 324043 Kouroussa [Region: Guinea] 324044 Mandiana [Region: Guinea] 324045 Siguiri [Region: Guinea] 324051 Coyah, Dubréka [Region: Guinea] 324053 Forécariah [Region: Guinea] 324054 Kindia [Region: Guinea] 324055 Télimélé [Region: Guinea] 324061 Koubia [Region: Guinea] 324062 Labé [Region: Guinea] 324063 Lélouma [Region: Guinea] 324064 Mali [Region: Guinea] 324065 Tougué [Region: Guinea] 324071 Dalaba [Region: Guinea] 324072 Mamou [Region: Guinea] 324073 Pita [Region: Guinea] 324081 Beyla [Region: Guinea] 324082 Guéckédou [Region: Guinea] 324083 Lola [Region: Guinea] 324084 Macenta [Region: Guinea] 324085 Nzerekore [Region: Guinea] 324086 Yomou [Region: Guinea] 324096 Guinea, place unknown [Region: Guinea] 324097 Foreign country [Region: Guinea] 324098 Unknown [Region: Guinea] 324099 NIU (not in universe) [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh, Uttaranchal [State: India] 356010 Bihar, Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Madhya Pradesh, Chhattisgarh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Goa, Daman and Diu [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 356097 Abroad [State: India] 356098 Unknown [State: India] 356099 NIU (not in universe) [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Razavi Khorasan [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran, Alborz [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 364098 Unknown [Province: Iran] 364099 NIU (not in universe) [Province: Iran] 368000 Always lived in residential place of birth [Governorate: Iraq] 368001 In this governorate [Governorate: Iraq] 368011 Dahuk [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Sulaymaniyah [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Erbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 368097 Other countries [Governorate: Iraq] 368098 Unknown [Governorate: Iraq] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 388098 Unknown [Parish: Jamaica] 388099 NIU (Not in universe) [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 400997 Foreign Country [Governorate: Jordan] 400998 Unknown [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 417001 Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul region [Region: Kyrgyz Republic] 417003 Dzhalal-Abad region [Region: Kyrgyz Republic] 417004 Naryn region [Region: Kyrgyz Republic] 417005 Batken region [Region: Kyrgyz Republic] 417006 Oshskaya region, City of Osh [Region: Kyrgyz Republic] 417007 Talasskaya region [Region: Kyrgyz Republic] 417008 Chuya region [Region: Kyrgyz Republic] 417096 Other Kyrgyz Republic, not specified [Region: Kyrgyz Republic] 417097 Foreign country [Region: Kyrgyz Republic] 417098 Unknown [Region: Kyrgyz Republic] 417099 NIU (not in universe) [Region: Kyrgyz Republic] 418001 Vientiane Capital [Province: Laos] 418002 Phongsaly [Province: Laos] 418003 Luangnamtha [Province: Laos] 418004 Oudomxay [Province: Laos] 418005 Bokeo [Province: Laos] 418006 Luangprabang [Province: Laos] 418007 Huaphanh [Province: Laos] 418008 Xayaboury [Province: Laos] 418009 Xienkhuang [Province: Laos] 418010 Vientiane Province [Province: Laos] 418011 Borikhamxay [Province: Laos] 418012 Khammuane [Province: Laos] 418013 Savanakhet [Province: Laos] 418014 Saravane [Province: Laos] 418015 Sekong [Province: Laos] 418016 Champasack [Province: Laos] 418017 Attapeu [Province: Laos] 418018 Xaysomboune [Province: Laos] 418097 Foreign Country [Province: Laos] 418098 Unknown [Province: Laos] 418099 NIU [Province: Laos] 662003 Castries city, Castries rural, Castries suburban [District: Saint Lucia] 662009 Choiseul, Laborie, Vieux-Fort [District: Saint Lucia] 662010 Anse-la-Raye, Canaries, Micoud, Soufriere [District: Saint Lucia] 662012 Dennery, Gros-Islet [District: Saint Lucia] 662098 Unknown [District: Saint Lucia] 662099 NIU [District: Saint Lucia] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu City [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe City [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba City [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre City [District: Malawi] 454306 Mwanza, Neno [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454997 Abroad [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao, Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466096 Mali, province unspecified [Region: Mali] 466097 Foreign country [Region: Mali] 466098 Unknown [Region: Mali] 466999 NIU (not in universe) [Region: Mali] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496011 Ulaanbaatar [Province: Mongolia] 496021 Dornod [Province: Mongolia] 496022 Sukhbaatar [Province: Mongolia] 496023 Khentii [Province: Mongolia] 496041 Tuv [Province: Mongolia] 496043 Selenge [Province: Mongolia] 496044 Dornogobi [Province: Mongolia] 496045 Darkhan-Uul [Province: Mongolia] 496046 Umnugobi [Province: Mongolia] 496048 Dundgobi, Gobisumber [Province: Mongolia] 496061 Orkhon [Province: Mongolia] 496062 Uvurkhangai [Province: Mongolia] 496063 Bulgan [Province: Mongolia] 496064 Bayankhongor [Province: Mongolia] 496065 Arkhangai [Province: Mongolia] 496067 Khuvsgul [Province: Mongolia] 496081 Zavkhan [Province: Mongolia] 496082 Gobi-Altai [Province: Mongolia] 496083 Bayan-Ulgii [Province: Mongolia] 496084 Khovd [Province: Mongolia] 496085 Uvs [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 104001 Kachin [State: Myanmar] 104002 Kayah [State: Myanmar] 104003 Kayin [State: Myanmar] 104004 Chin [State: Myanmar] 104005 Sagaing [State: Myanmar] 104006 Tanintharyi [State: Myanmar] 104007 Bago [State: Myanmar] 104008 Magway [State: Myanmar] 104009 Mandalay [State: Myanmar] 104010 Mon [State: Myanmar] 104011 Rakhine [State: Myanmar] 104012 Yangon [State: Myanmar] 104013 Shan [State: Myanmar] 104014 Ayeyawady [State: Myanmar] 104015 Nay Pyi Taw [State: Myanmar] 104097 Abroad [State: Myanmar] 104099 NIU [State: Myanmar] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 591009 Unknown district in Panamá province [Province: Panama] 591097 Foreign country [Province: Panama] 591098 Unknown [Province: Panama] 591099 NIU (not in universe) [Province: Panama] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dambovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 642097 Foreign country [County: Romania] 642098 Unknown [County: Romania] 642099 NIU (not in universe) [County: Romania] 646002 Byumba, Kigali Ngali, Kigali Ville, Kibungo, Umutara [Province: Rwanda] 646003 Gitarama [Province: Rwanda] 646004 Butare [Province: Rwanda] 646005 Gikongoro [Province: Rwanda] 646006 Cyangugu [Province: Rwanda] 646007 Kibuye [Province: Rwanda] 646008 Gisenyi [Province: Rwanda] 646009 Ruhengeri [Province: Rwanda] 646097 Foreign Countries [Province: Rwanda] 646098 Unknown [Province: Rwanda] 646099 NIU [Province: Rwanda] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705097 Abroad [Region: Slovenia] 705999 NIU (not in universe) [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Abroad [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 740001 Paramaribo [District: Suriname] 740002 Wanica [District: Suriname] 740003 Nickerie [District: Suriname] 740005 Saramacca, Coronie [District: Suriname] 740006 Marowijne, Commewijne [District: Suriname] 740008 Brokopondo, Para [District: Suriname] 740010 Sipaliwini [District: Suriname] 740096 Suriname, district unknown [District: Suriname] 740097 Foreign [District: Suriname] 740098 Unknown [District: Suriname] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon Si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Sa Kaeo, Prachin Buri [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon, Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764039 Nong Bua Lam Phu, Udon Thani [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom, Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Phayao, Chiang Rai [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Krabi, Surat Thani [Province: Thailand] 764086 Ranong, Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 764097 Same province [Province: Thailand] 764098 Unknown province, but within Thaliand [Province: Thailand] 764997 Abroad [Province: Thailand] 764998 Unknown [Province: Thailand] 764999 NIU (not in universe) [Province: Thailand] 768001 Maritime, Lomé [Region: Togo] 768002 Plateaux, Centrale, Kara [Region: Togo] 768003 Savanes [Region: Togo] 768097 Foreign Country [Region: Togo] 768098 Unknown [Region: Togo] 768099 NIU [Region: Togo] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga, Kyankwanzi [District: Uganda] 800104 Luwero, Nakasongola, Nakaseke [District: Uganda] 800105 Masaka, Ssembabule, Bukomansimbi, Kalungu, Lwengo [District: Uganda] 800106 Mpigi, Wakiso, Butambala, Gomba [District: Uganda] 800107 Mubende, Mityana [District: Uganda] 800108 Mukono, Kayunga, Buikwe, Buvuma [District: Uganda] 800110 Rakai, Lyantonde [District: Uganda] 800201 Bugiri, Iganga, Mayuge, Namutumba, Luuka, Namayingo [District: Uganda] 800202 Busia, Tororo, Butaleja [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli, Kaliro, Buyende [District: Uganda] 800206 Kapchorwa, Bukwo, Kween [District: Uganda] 800207 Katakwi, Soroti, Kaberamaido, Amuria, Serere [District: Uganda] 800208 Kumi, Bukedea, Ngora [District: Uganda] 800209 Mbale, Sironko, Bududa, Manafwa, Bulambuli [District: Uganda] 800210 Pallisa, Budaka, Kibuku [District: Uganda] 800301 Adjumani, Moyo [District: Uganda] 800302 Apac, Oyam, Kole [District: Uganda] 800303 Arua, Yumbe, Koboko, Maracha [District: Uganda] 800304 Gulu, Amuru, Nwoya, Omoro [District: Uganda] 800305 Kitgum, Pader, Agago, Lamwo [District: Uganda] 800306 Kotido, Moroto, Nakapiripirit, Abim, Kaabong, Amudat, Napak [District: Uganda] 800307 Lira, Amolatar, Dokolo, Alebtong, Otuke [District: Uganda] 800310 Nebbi, Zombo [District: Uganda] 800401 Bundibugyo, Ntoroko [District: Uganda] 800402 Bushenyi, Mbarara, Ntungamo, Ibanda, Isingiro, Kiruhura, Buhweju, Mitooma, Rubirizi, Sheema [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale, Rubanda [District: Uganda] 800405 Kabarole, Kamwenge, Kyenjojo, Kyegegwa [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale, Kagadi, Kakumiro [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi, Buliisa, Kiryandongo [District: Uganda] 800412 Rukungiri, Kanungu [District: Uganda] 800096 Visitor [District: Uganda] 800097 Foreign country [District: Uganda] 800098 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv (independent city) [Region: Ukraine] 804085 Sevastopol (independent city) [Region: Ukraine] 804097 Foreign country [Region: Ukraine] 804098 Unknown [Region: Ukraine] 804099 NIU (not in universe) [Region: Ukraine] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON Province of previous residence, Panama; consistent boundaries, GIS MIG1_P_PA indicates the person's province of previous residence in Panama. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 591002 Coclé 591003 Colón, Comarca Kuna Yala (San Blas) 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas 591005 Comarca Emberá, Darién 591006 Herrera 591007 Los Santos 591008 Panamá 591009 Unknown district in Panamá province 591097 Foreign country 591098 Unknown 591099 NIU (not in universe) Migration: O-Z Variables -- PERSON District of previous residence, Panama; consistent boundaries, GIS MIG2_P_PA indicates the person's district of previous residence within Panama. Migration district codes from MIG2_P_PA are compatible with codes from GEO2_PA. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 591002001 Natá, Penonomé 591002002 Antón 591002003 Aguadulce 591002004 La Pintada, Olá 591002099 Coclé province, unknown district 591003001 Colón, Portobelo, Santa Isabel 591003002 Chagres, Donoso 591003003 Comarca Kuna Yala 591003099 Colón and Comarca Kuna Yala provinces, unknown district 591004001 Bocas del Toro, Changuinola, Kusapín, Santa Fé 591004002 David 591004003 Atalaya, Santiago 591004004 Bugaba 591004005 Barú, Renacimiento 591004006 Ñürüm, Cañazas, La Mesa, Las Palmas 591004007 Remedios, San Félix, Besiko, Nole Duima 591004008 Tolé, Müna 591004009 Río de Jesús, Soná, Mariato, Montijo 591004010 Chiriquí Grande, Kankintú 591004011 Gualaca, San Lorenzo, Besiko 591004012 Alanje, Boquerón 591004013 Dolega 591004014 Boquete 591004015 Calobre, San Francisco 591004099 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, and Veraguas provinces, unknown district 591005001 Chepigana, Pinogana, Cémaco, Sambú 591005099 Comarca Emberá and Darién provinces, unknown district 591006001 Chitré 591006002 Las Minas, Los Pozos, Ocú 591006003 Parita, Pesé, Santa María 591006099 Herrera province, unknown district 591007001 Guararé, Las Tablas 591007002 Macaracas, Pedasí, Pocrí, Tonosí 591007003 Los Santos 591007099 Los Santos province, unknown province 591008001 Panamá, San Miguelito 591008002 Arraiján, Taboga 591008003 La Chorrera 591008004 Capira, San Carlos 591008005 Balboa, Chepo, Chimán 591008006 Chame 591008099 Panamá province, unknown province 591096096 Indigenous Dwelling 591097097 Abroad 591098098 Unknown Migration: O-Z 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 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 Person number (within household) Panama 2000: All households This variable indicates the person number within 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 Nucleus number Panama 2000: All persons This variable indicates the nucleus number. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Technical Person Variables -- PERSON Relationship For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A403">1. Head <div class="i1">[] 1</div> </svar> <svar v="PA00A403" a="all">Question Number 1: What relation or relationship do you have to the head of the household? This question is asked to know the relation or relationship between the head and the other members of the home. It is the relation that the members of the home have with respect to the head of this home determined by kinship, marriage, adoption or affinity and custom. [To the right of the text is a picture of a family.] Mark with an "X" the circle corresponding to the response of the person. If the enumerated person is the head of the home, begin to mark the corresponding circle and do not ask this question. With this question it should be kept in mind that: <div class="i1">Head: refers to a person recognized as such by the rest of the members of the home.</div> [p. 66] <div class="i1">In the case that there is no agreement between the members, the person who has the economic responsibility should be considered as head of the home. When there are many who contribute economic responsibility, consider as head the person who contributes the most. When the home is formed by unrelated members, consider as head the oldest person in the home. When the person recognized as head of the home is absent one who satisfies the requirements of the definition, in other words, who is recognized as "head" of the home or who upholds any of the conditions in their absence will be considered to be head. Spouse of the Head (Circle 2): refers to the wife if the head is male or the husband if the head is female. This relationship permits any type of matrimonial relation, that is to say that the pair can be married civilly, ecclesiastically, or [consensually] united. In the same home you can find more than one spouse; write them down as such. Son (daughter): refers to the children born of the marriage or the consensual union, as both adopted children and children raised there. Son and daughter-in-law (Circle 4): refers to the spouse of the child(ren) of the head. Grandchild or great-grandchild (Circle 5): Mark this circle if it concerns the children of the children of the head or the grandchildren of the head. Father or mother of the head (Circle 6): Mark this circle, inclusive, when it concerns the father or mother of the head, raised by them or adopted. Mother or father-in-law (Circle 7): Father or mother of the spouse of the head. Other relative (Circle 8): Include siblings, brothers and sisters-in-law, godfathers, cousins, godsons and daughters; both of the head or the spouse, etc. No relative (Circle 9): Any member of the home who does not belong to the categories above is included. Example: (friends, guests, domestic servants).</div> </svar> Panama 2000: All persons This variable indicates the relationship to the head of household. 1 Head 2 Spouse, partner of head 3 Son, daughter 4 Son- or daughter-in-law 5 Grandchild or great-grandchild 6 Father or mother of head 7 Father- or mother-in-law of head 8 Other relative 9 Not related Demographic Variables -- PERSON Sex For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A404" a="all">2. Sex <div class="i1">[] 1 Male [] 2 Female</div> </svar> <svar v="PA00A404" a="all">Question No. 2: Sex: The question referring to the sex is asked with the purpose of knowing the composition of the population by sex. Sex: Biological condition that distinguishes persons as men and women. Do not go by the name to deduce the sex since there are common names both for men and women. Mark with an "X" the corresponding circle in agreement with that marked in the list of occupants (Section IV). </svar> Panama 2000: All persons This variable indicates the sex of the person. 1 Male 2 Female Demographic Variables -- PERSON Age For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A405" a="all">3. What is your age in years completed? <div class="i1">_ _ Years Date of birth</div> <div class="i2">Day ____ Month ____ Year ____</div> </svar> <svar v="PA00A405" a="all">Question No. 3: What is your age in years completed? Through this question is known the structure of the population by specific age and groups of ages. It refers to the age of an enumerated person at the moment of the census, that is, at the last birthday. [p. 68] Write down, with two digits, the age in complete years of the person. If the person is 99 years old or more write down "98" in the corresponding spaces; and if the person is less than 10 years old, put a 0 in front of it [the age]. Immediately ask the day, month and year in which the enumerated person was born. If any doubt about answering the question is observed, try to obtain the exact age through their personal identity card, social security card or other documents that contain this information. When the person does not know their age and does not have personal identity documentation, estimate the age based on their age when their first son was born and put next to the age the letter E (estimated). </svar> Panama 2000: All persons This variable indicates the age, in years, of the person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98+ 99 Unknown Demographic Variables -- PERSON Marital status For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A406" a="all">4. What is your current marital status? <div class="i1">[] 1 Consensual union? [] 2 Separated from a marriage? [] 3 Separated from a consensual union? [] 4 Married? [] 5 Divorced? [] 6 Widowed? [] 7 Single? [] 8 Under 15 years of age?</div> </svar> <svar v="PA00A406" a="all">Question No. 4: What is you current marital status? Read slowly the alternatives and mark the corresponding circle agreeing with the response of the person. There should only be one option marked. Consider the following definitions: [p. 69] <div class="i1">[Consensually] United: a person who lives in marital union without having been civilly or religiously married with their current companion. The person can be living in the same dwelling with the spouse or not. Separated from marriage: a person who lives separated from their spouse and does not live in [consensual] marital union. Separated from [consensual] union: a person who lives separated from their companion and does not live in [consensual] marital union. Married: a person who has been married civilly and/or religiously and lives in this state. Divorced: a person legally separated who has not married again and does not live in [consensual] marital union. Widowed: is a person whose spouse has died and has not married again and does not live in [consensual] marital union. Single: is a person who never has married or lived in [consensual] marital union, that is to say who never has had a spouse [companion]. Under fifteen years: a person whose age is less then 15 years.</div> If one under 15 years declares to be in any of the marital states, accept their response. Some persons have the tendency to say that they are single because they have never been married, but nevertheless they have lived in [consensual] marital union. In such a case, consider them as separated from [consensual] union. </svar> Panama 2000: All persons This variable indicates the person's marital status. 1 In a consensual union 2 Separated from a marriage 3 Separated from a consensual union 4 Married 5 Divorced 6 Widowed 7 Single 8 Under 15 years old Demographic Variables -- PERSON Disability For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A407" a="all">5. What type of physical or mental impediment do you have? <div class="i1">(Mark the most severe) [] 1 Blindness [] 2 Deafness [] 3 Mental retardation [] 4 Cerebral Paralysis [] 5 Permanent physical disability [] 6 Other [] 7 None</div> </svar> <svar v="PA00A407" a="all">Question No. 5: What type of physical or mental impediment do you have? (Mark the most serious) This question is asked with the object of understanding the population that suffers from some type of physical or mental impediment. Carry out this question if in the list of occupants the name of a person has been marked in the circle from question 4, or was not marked in circle 7 "none". [p. 71] Consider as <div class="i1">Blindness: a person who has no vision or sees very little (visual weaknesses) an impediment that cannot be normalized with the use of glasses, treatments or other optical aids. Include persons who are blind from birth, blind by sickness like glaucoma, "toxoplasmosis", and diverse infections, and those blind by accident (hit in the eye, diverse injuries, etc.). [To the right of the text is a picture of an eye doctor and patient.] Deafness: a person who does not hear or talk and communicates through signs but with normal intelligence. Mental Retardation: a person who has a below normal intellectual capacity. The characteristics are shown through a low performance in school, problems with adaptation and behavior, and retardation in mental and social development. A typical case is a "mongoloid" [Down's syndrome] person. Cerebral Paralysis: a person who when being born or during the first three years of life suffered a cerebral lesion or injury that does not permit them to move in a normal form and having stiff muscles and uncoordinated movements. Generally, they have aural, visual, and mental problems with language and suffer convulsions. Physical disability: a person who because of an accident, disease, cerebral brain hemorrhage, or amputation has difficulty doing with skill activities of daily life or moving independently. Also those who have malformations that limit them physically or those who were born lacking any extremity. Other: Mark this box in the case of a person who is autistic, suffers from dementia or presents irregularities in development (its is applied also to children in which when their age is considered, do not crawl, walk or speak when it is expected that they do it and do not have a definite diagnosis that would permit them to be put in any of the other categories listed above). Or that is, include a person who does not have any type of impediment described in the categories listed above. (Circles 1 to 5). None: Mark this circle when the person declared in the list of occupants to not have a physical or mental impediment.</div> </svar> Panama 2000: All persons This variable indicates the person's mental and physical disability. 1 Blindness 2 Deafness 3 Metal retardation 4 Cerebral palsy 5 Physical disability (lack/loss of limb) 6 Other 7 None 9 Unknown Disability Variables -- PERSON Indigenous group For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A408" a="all">6. To which indigenous group do you belong? <div class="i1">[] 01 Kuna [] 02 Ngoba [] 03 Bugle [] 04 Teribe [] 05 Bokota [] 06 Emberá [] 07 Wounaan [] 08 Bri Bri [] 09 None</div> </svar> <svar v="PA00A408" a="all">Question No. 6: To which indigenous group de you belong? This question is asked with the purpose of quantifying the indigenous population in the national geographic and the indigenous group to which it belongs. An indigenous is considered to be a person who declares to belong to an aboriginal group independent of the locality where enumerated. [To the right of the text is a picture of an indigenous group.] Remember to ask this question if on the list of occupants a name of a person has been marked in the circle of question 5; on the contrary, if a person has stated that no indigenous person lives there, automatically mark circle 09 " none". [p. 73] For those under 5 years, mark the question based on the ethnic group of their parents. </svar> Panama 2000: All persons This variable indicates the indigenous group the person belongs to. 01 Kuna 02 Ngöbe 03 Bugle 04 Teribe 05 Bokota 06 Embera 07 Wounaan 08 Bri Bri 09 Not indigenous 99 Unknown Ethnicity and Language Variables -- PERSON District or country of birth For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A409 PA00A410 PA00A411 PA00A418" a="all">7. Where did you mother live when you were born? <div class="i1">[] 0001 In this same place? ____ In a different locality (specify) ____ District ____ Province _ _ _ _ _ ([If this option is selected,] go to question 9) ____ In another country? (specify) _ _ _ _ _ (Continue with question 7a) 7a. In what period did you arrive in Panamá . . .</div> <div class="i2">[] 1 Before 1990? [] 2 Between 1990 and 1995? [] 3 Between 1996 and today?</div> </svar> <svar v="PA00A409 PA00A410 PA00A418" a="all">Question No 7: Where did your mother live when you were born? The objective of this question is to determine persons whose habitual place of residence at the date of the census differs from their place of reference (mother's residence) at the moment of birth. Remember that this question refers to the locality where the mother lived when the enumerated person was born and not the place where they stayed in the hospital or other site where she moved to give birth. [To the left of the text is a picture of two parents and a baby.] [p. 74] Mark with an "X" the circle in this place if a person declares that their mother lived "when born" in the same locality where enumerated. When an enumerated person says their mother was living " in another locality" "when born", write down this name and the district and province to which this locality belongs and go to question 8. </svar> Panama 2000: All persons This variable indicates the person's district or country of birth. 0001 Same place 0101 Bocas del Toro 0102 Changuinola 0103 Chiriquí Grande 0201 Aguadulce 0202 Antón 0203 La Pintada 0204 Natá 0205 Olá 0206 Penonomé 0301 Colón 0302 Chagres 0303 Donoso 0304 Portobelo 0305 Santa Isabel 0401 Alanje 0402 Barú 0403 Boquerón 0404 Boquete 0405 Bugaba 0406 David 0407 Dolega 0408 Gualaca 0409 Remedios 0410 Renacimiento 0411 San Félix 0412 San Lorenzo 0413 Tolé 0501 Chepigana 0502 Pinogana 0601 Chitré 0602 Las Minas 0603 Los Pozos 0604 Ocú 0605 Parita 0606 Pesé 0607 Santa María 0701 Guararé 0702 Las Tablas 0703 Los Santos 0704 Macaracas 0705 Pedasí 0706 Pocrí 0707 Tonosí 0801 Arraiján 0802 Balboa 0803 Capira 0804 Chame 0805 Chepo 0806 Chimán 0807 La Chorrera 0808 Panamá 0809 San Carlos 0810 San Miguelito 0811 Taboga 0901 Atalaya 0902 Calobre 0903 Cañazas 0904 La Mesa 0905 Las Palmas 0906 Montijo 0907 Río De Jesús 0908 San Francisco 0909 Santa Fe 0910 Santiago 0911 Soná 1001 Comarca Kuna Yala 1101 Cémaco and Sambú 1201 Besiko 1202 Mironó 1203 Müna 1204 Nole Duima 1205 Ñürüm 1206 Kankintú 1207 Kusapín 2103 Canada 2105 United States of America 2107 Mexico 2211 Guatemala 2213 El Salvador 2214 Honduras 2217 Nicaragua 2218 Costa Rica 2231 Cuba 2232 Dominican Republic 2233 Haiti 2244 Jamaica (Caiman Islands, Turks and Caicos) 2275 Puerto Rico 2299 Other West Indies 2311 Colombia 2313 Ecuador 2314 Venezuela 2321 Brazil 2331 Uruguay 2333 Argentina 2351 Peru 2353 Chile 2399 Other South America 2401 Albania 2402 Germany 2417 Spain 2432 Italy 2443 United Kingdom 2499 Other European countries 2518 China 2521 Taiwan 2528 Hong Kong 2531 India 2538 Israel 2548 Lebanon 2599 Other Asian countries 2600 Russia 2700 Other countries not elsewhere classified 9999 Undeclared Nativity and Birthplace Variables -- PERSON Type of area of birth For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A409 PA00A410 PA00A411 PA00A418" a="all">7. Where did you mother live when you were born? <div class="i1">[] 0001 In this same place? ____ In a different locality (specify) ____ District ____ Province _ _ _ _ _ ([If this option is selected,] go to question 9) ____ In another country? (specify) _ _ _ _ _ (Continue with question 7a) 7a. In what period did you arrive in Panamá . . .</div> <div class="i2">[] 1 Before 1990? [] 2 Between 1990 and 1995? [] 3 Between 1996 and today?</div> </svar> <svar v="PA00A409 PA00A410 PA00A418" a="all">Question No 7: Where did your mother live when you were born? The objective of this question is to determine persons whose habitual place of residence at the date of the census differs from their place of reference (mother's residence) at the moment of birth. Remember that this question refers to the locality where the mother lived when the enumerated person was born and not the place where they stayed in the hospital or other site where she moved to give birth. [To the left of the text is a picture of two parents and a baby.] [p. 74] Mark with an "X" the circle in this place if a person declares that their mother lived "when born" in the same locality where enumerated. When an enumerated person says their mother was living " in another locality" "when born", write down this name and the district and province to which this locality belongs and go to question 8. </svar> Panama 2000: Persons not born in the present place of residence [discrepancies: none] This variable indicates whether the area where the person was born is urban or rural. 1 Urban 2 Rural 3 Other country 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Period of arrival in Panama For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A409 PA00A410 PA00A411 PA00A418" a="all">7. Where did you mother live when you were born? <div class="i1">[] 0001 In this same place? ____ In a different locality (specify) ____ District ____ Province _ _ _ _ _ ([If this option is selected,] go to question 9) ____ In another country? (specify) _ _ _ _ _ (Continue with question 7a) 7a. In what period did you arrive in Panamá . . .</div> <div class="i2">[] 1 Before 1990? [] 2 Between 1990 and 1995? [] 3 Between 1996 and today?</div> </svar> <svar v="PA00A411 PA00A418" a="PA00A411">Question No. 7a: In what period did you arrive in Panama? Ask this question if a person declared in question 7 that their mother lived in another country when born and indicate the period in which they arrive at Panama. </svar> Panama 2000: Persons born in another country [discrepancies: none] This variable indicates the year the person arrived in Panama. 1 Before 1990 2 Between 1990 and 1995 3 Between 1996 and now 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON District of permanent residence For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A412 PA00A413 PA00A419" a="all">8. Where do you live permanently . . . <div class="i1">[] 0001 In this same place? ____ In a different locality? (specify) ____ District ____ Province _ _ _ _ _ ([If this option is selected,] go to question 9) [] 9998 In another country? (End the interview here)</div> </svar> <svar v="PA00A412 PA00A413 PA00A419" a="all">Question No. 8: Where do you live permanently? This information is necessary for determining the real population of every locality in the whole country. Permanent Residence is the locality where the enumerated person resides habitually. Mark with an "X" the circle " in this place" if an enumerated person claims to live permanently in the same locality where enumerated. In the contrary case, write down the name of the locality where the person lives permanently and its district. In both cases continue with question 9. For those who claim to live permanently " in another country", mark the corresponding circle and end the interview with this person. </svar> Panama 2000: All persons This variable indicates the district of permanent residence. 0001 Same place 0101 Bocas del Toro 0102 Changuinola 0103 Chiriquí Grande 0201 Aguadulce 0202 Antón 0203 La Pintada 0206 Penonomé 0301 Colón 0401 Alanje 0402 Barú 0404 Boquete 0405 Bugaba 0406 David 0407 Dolega 0408 Gualaca 0410 Renacimiento 0411 San Félix 0412 San Lorenzo 0413 Tolé 0501 Chepigana 0502 Pinogana 0601 Chitré 0602 Las Minas 0603 Los Pozos 0604 Ocú 0702 Las Tablas 0703 Los Santos 0704 Macaracas 0707 Tonosí 0801 Arraiján 0803 Capira 0804 Chame 0805 Chepo 0807 La Chorrera 0808 Panamá 0810 San Miguelito 0901 Atalaya 0902 Calobre 0903 Cañazas 0905 Las Palmas 0906 Montijo 0910 Santiago 0911 Soná 1001 Comarca Kuna Yala 1201 Besiko 1202 Mironó 1203 Müna 1204 Nole Duima 1206 Kankintú 9900 Response suppressed 9998 Other country 9999 Unknown Migration: Global Variables -- PERSON Type of area of permanent residence For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A412 PA00A413 PA00A419" a="all">8. Where do you live permanently . . . <div class="i1">[] 0001 In this same place? ____ In a different locality? (specify) ____ District ____ Province _ _ _ _ _ ([If this option is selected,] go to question 9) [] 9998 In another country? (End the interview here)</div> </svar> <svar v="PA00A412 PA00A413 PA00A419" a="all">Question No. 8: Where do you live permanently? This information is necessary for determining the real population of every locality in the whole country. Permanent Residence is the locality where the enumerated person resides habitually. Mark with an "X" the circle " in this place" if an enumerated person claims to live permanently in the same locality where enumerated. In the contrary case, write down the name of the locality where the person lives permanently and its district. In both cases continue with question 9. For those who claim to live permanently " in another country", mark the corresponding circle and end the interview with this person. </svar> Panama 2000: Persons whose permanent residence is a different location from the one currently living [discrepancies: none] This variable indicates whether the permanent residence is in urban or rural area. 1 Urban 2 Rural 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON Province of prior residence For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A414 PA00A415 PA00A420 PA00A453" a="all">9. Where did you live before coming to live in this place? <div class="i1">[] 0001 In this same place (Go to question 10) ____ In another place (specify)</div> <div class="i2">____ District ____ Province ____ In another country (specify) _ _ _ _ _ (Go to question 9a)</div> </svar> <svar v="PA00A414 PA00A415 PA00A416 PA00A420 PA00A453" a="all">Question No. 9: Where did you live before coming to live in this place? The following question is asked with the purpose of measuring the migration through districts, provinces and nations for the indicated periods, or another manner of knowing the migratory movement of the population. Mark with as "X" the circle " In this place" if a person declares to reside in the same locality where being enumerated and move on to question 10. If a person used to live " In another locality", write down in the corresponding spaces the name of the locality, the district and the province where they used to reside before settling down in this place. Also, if a person declares to have lived in another country, write down its name. In both cases, continue with question 9a. [p. 77] Example: Mr. Montenegro declares that before coming to live in this place, he used to reside in Costa Rica. [Below the text is a form.] Ask this question, if the person declared in question 9 to have lived in another locality o in another country and indicate how long since returning. Example: Continuing with the above example, Mr. Montenegro returned from Costa Rica 3 years ago. [Below the text is a form.] </svar> Panama 2000: Persons who ever moved from district of birth This variable indicates the person's province of previous residence. 00 NIU (not in universe) 01 Bocas del Toro 02 Coclé 03 Colón 04 Chiriqui 05 Darién 06 Herrera 07 Los Santos 08 Panamá 09 Veraguas 10 Comarca Kuna Yala 11 Cémaco and Sambú 12 Ngoble-Bugle Comarca 21 Foreign country 80 Response suppressed 98 Permanent residence foreign country 99 Unknown Migration: Global Variables -- PERSON District or country of prior residence For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A414 PA00A415 PA00A420 PA00A453" a="all">9. Where did you live before coming to live in this place? <div class="i1">[] 0001 In this same place (Go to question 10) ____ In another place (specify)</div> <div class="i2">____ District ____ Province ____ In another country (specify) _ _ _ _ _ (Go to question 9a)</div> </svar> <svar v="PA00A414 PA00A415 PA00A416 PA00A420 PA00A453" a="all">Question No. 9: Where did you live before coming to live in this place? The following question is asked with the purpose of measuring the migration through districts, provinces and nations for the indicated periods, or another manner of knowing the migratory movement of the population. Mark with as "X" the circle " In this place" if a person declares to reside in the same locality where being enumerated and move on to question 10. If a person used to live " In another locality", write down in the corresponding spaces the name of the locality, the district and the province where they used to reside before settling down in this place. Also, if a person declares to have lived in another country, write down its name. In both cases, continue with question 9a. [p. 77] Example: Mr. Montenegro declares that before coming to live in this place, he used to reside in Costa Rica. [Below the text is a form.] Ask this question, if the person declared in question 9 to have lived in another locality o in another country and indicate how long since returning. Example: Continuing with the above example, Mr. Montenegro returned from Costa Rica 3 years ago. [Below the text is a form.] </svar> Panama 2000: All persons This variable indicates the district or country of prior residence. 0001 Same place 0101 Bocas del Toro 0102 Changuinola 0103 Chiriquí Grande 0201 Aguadulce 0202 Antón 0203 La Pintada 0204 Natá 0205 Olá 0206 Penonomé 0301 Colón 0302 Chagres 0303 Donoso 0304 Portobelo 0305 Santa Isabel 0401 Alanje 0402 Barú 0403 Boquerón 0404 Boquete 0405 Bugaba 0406 David 0407 Dolega 0408 Gualaca 0409 Remedios 0410 Renacimiento 0411 San Félix 0412 San Lorenzo 0413 Tolé 0501 Chepigana 0502 Pinogana 0601 Chitré 0602 Las Minas 0603 Los Pozos 0604 Ocú 0605 Parita 0606 Pesé 0607 Santa María 0701 Guararé 0702 Las Tablas 0703 Los Santos 0704 Macaracas 0705 Pedasí 0706 Pocrí 0707 Tonosí 0801 Arraiján 0802 Balboa 0803 Capira 0804 Chame 0805 Chepo 0806 Chimán 0807 La Chorrera 0808 Panamá 0809 San Carlos 0810 San Miguelito 0811 Taboga 0901 Atalaya 0902 Calobre 0903 Cañazas 0904 La Mesa 0905 Las Palmas 0906 Montijo 0907 Río De Jesús 0908 San Francisco 0909 Santa Fe 0910 Santiago 0911 Soná 1001 Comarca Kuna Yala 1101 Cémaco and Sambú 1201 Besiko 1202 Mironó 1203 Müna 1204 Nole Duima 1205 Ñürüm 1206 Kankintú 1207 Kusapín 2103 Canada 2105 United States of America 2107 Mexico 2211 Guatemala 2213 El Salvador 2214 Honduras 2217 Nicaragua 2218 Costa Rica 2231 Cuba 2232 Dominican Republic 2244 Jamaica (Caiman Islands, Turks and Caicos) 2311 Colombia 2313 Ecuador 2314 Venezuela 2321 Brazil 2333 Argentina 2351 Peru 2353 Chile 2402 Germany 2417 Spain 2432 Italy 2518 China (Mainland) 2521 China-Taiwan (Formosa) 2528 Hong Kong 2531 India 2538 Israel 9900 Other country, response suppressed 9998 Unknown 9999 Permanent residence foreign country Migration: Global Variables -- PERSON Type of area of prior residence For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A414 PA00A415 PA00A420 PA00A453" a="all">9. Where did you live before coming to live in this place? <div class="i1">[] 0001 In this same place (Go to question 10) ____ In another place (specify)</div> <div class="i2">____ District ____ Province ____ In another country (specify) _ _ _ _ _ (Go to question 9a)</div> </svar> <svar v="PA00A414 PA00A415 PA00A416 PA00A420 PA00A453" a="all">Question No. 9: Where did you live before coming to live in this place? The following question is asked with the purpose of measuring the migration through districts, provinces and nations for the indicated periods, or another manner of knowing the migratory movement of the population. Mark with as "X" the circle " In this place" if a person declares to reside in the same locality where being enumerated and move on to question 10. If a person used to live " In another locality", write down in the corresponding spaces the name of the locality, the district and the province where they used to reside before settling down in this place. Also, if a person declares to have lived in another country, write down its name. In both cases, continue with question 9a. [p. 77] Example: Mr. Montenegro declares that before coming to live in this place, he used to reside in Costa Rica. [Below the text is a form.] Ask this question, if the person declared in question 9 to have lived in another locality o in another country and indicate how long since returning. Example: Continuing with the above example, Mr. Montenegro returned from Costa Rica 3 years ago. [Below the text is a form.] </svar> Panama 2000: Persons whose previous residence is a different location from the one currently living [discrepancies: none] This variable indicates whether the area of prior residence is urban or rural. 0 Other country 1 Urban 2 Rural 8 Unknown 9 NIU (not in universe) Migration: Global Variables -- PERSON Period of arrival For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A416" a="all">9a. In what period did you arrive in this place. . . <div class="i1">[] 1 Before 1990? [] 2 Between 1990 and 1995? [] 3 Between 1996 and today?</div> </svar> <svar v="PA00A414 PA00A415 PA00A416 PA00A420 PA00A453" a="all">Question No. 9: Where did you live before coming to live in this place? The following question is asked with the purpose of measuring the migration through districts, provinces and nations for the indicated periods, or another manner of knowing the migratory movement of the population. Mark with as "X" the circle " In this place" if a person declares to reside in the same locality where being enumerated and move on to question 10. If a person used to live " In another locality", write down in the corresponding spaces the name of the locality, the district and the province where they used to reside before settling down in this place. Also, if a person declares to have lived in another country, write down its name. In both cases, continue with question 9a. [p. 77] Example: Mr. Montenegro declares that before coming to live in this place, he used to reside in Costa Rica. [Below the text is a form.] Ask this question, if the person declared in question 9 to have lived in another locality o in another country and indicate how long since returning. Example: Continuing with the above example, Mr. Montenegro returned from Costa Rica 3 years ago. [Below the text is a form.] </svar> Panama 2000: Persons whose previous residence is a different location from the one currently living [discrepancies: none] This variable indicates the period of arrival in the present area of enumeration. 1 Before 1990 2 1990 to 1995 3 1996 to the present 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON District of enumeration <svar v="PA00A034 PA00A035 PA00A038 PA00A417" a="all">I. Location of the Dwelling <div class="i1">1. Province or Region ____ 2. District ____ 3. Judicial Precinct ____ 4. Segment ____ 5. Block number ____ 6. Locality ____ 7. Neighborhood or Vicinity ____ 8. Street or Avenue ____ 9. Building or House ____ 10. Room or Apartment number ____</div> </svar> <svar v="PA00A034 PA00A035 PA00A036 PA00A417" a="all">Province or Region, District and Judicial Precinct Carefully write in the corresponding spaces, the number of the province or region, district and administrative unit where the enumerated dwelling is located. </svar> Panama 2000: All persons This variable indicates the district of enumeration. 0101 Bocas del Toro 0102 Changuinola 0103 Chiriquí Grande 0201 Aguadulce 0202 Antón 0203 La Pintada 0204 Natá 0205 Olá 0206 Penonomé 0301 Colón 0302 Chagres 0303 Donoso 0304 Portobelo 0305 Santa Isabel 0401 Alanje 0402 Barú 0403 Boquerón 0404 Boquete 0405 Bugaba 0406 David 0407 Dolega 0408 Gualaca 0409 Remedios 0410 Renacimiento 0411 San Félix 0412 San Lorenzo 0413 Tolé 0501 Chepigana 0502 Pinogana 0601 Chitré 0602 Las Minas 0603 Los Pozos 0604 Ocú 0605 Parita 0606 Pesé 0607 Santa María 0701 Guararé 0702 Las Tablas 0703 Los Santos 0704 Macaracas 0705 Pedasí 0706 Pocrí 0707 Tonosí 0801 Arraiján 0802 Balboa 0803 Capira 0804 Chame 0805 Chepo 0806 Chimán 0807 La Chorrera 0808 Panamá 0809 San Carlos 0810 San Miguelito 0811 Taboga 0901 Atalaya 0902 Calobre 0903 Cañazas 0904 La Mesa 0905 Las Palmas 0906 Montijo 0907 Río De Jesús 0908 San Francisco 0909 Santa Fe 0910 Santiago 0911 Soná 1001 Comarca Kuna Yala 1101 Cémaco 1102 Sambú 1201 Besiko 1202 Mironó 1203 Müna 1204 Nole Duima 1205 Ñürüm 1206 Kankintú 1207 Kusapín Other Person Variables -- PERSON Mother's place of residence recoded For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A409 PA00A410 PA00A411 PA00A418" a="all">7. Where did you mother live when you were born? <div class="i1">[] 0001 In this same place? ____ In a different locality (specify) ____ District ____ Province _ _ _ _ _ ([If this option is selected,] go to question 9) ____ In another country? (specify) _ _ _ _ _ (Continue with question 7a) 7a. In what period did you arrive in Panamá . . .</div> <div class="i2">[] 1 Before 1990? [] 2 Between 1990 and 1995? [] 3 Between 1996 and today?</div> </svar> <svar v="PA00A409 PA00A410 PA00A418" a="all">Question No 7: Where did your mother live when you were born? The objective of this question is to determine persons whose habitual place of residence at the date of the census differs from their place of reference (mother's residence) at the moment of birth. Remember that this question refers to the locality where the mother lived when the enumerated person was born and not the place where they stayed in the hospital or other site where she moved to give birth. [To the left of the text is a picture of two parents and a baby.] [p. 74] Mark with an "X" the circle in this place if a person declares that their mother lived "when born" in the same locality where enumerated. When an enumerated person says their mother was living " in another locality" "when born", write down this name and the district and province to which this locality belongs and go to question 8. </svar> <svar v="PA00A411 PA00A418" a="PA00A411">Question No. 7a: In what period did you arrive in Panama? Ask this question if a person declared in question 7 that their mother lived in another country when born and indicate the period in which they arrive at Panama. </svar> Panama 2000: All persons This variable indicates the mother's place of residence when the person was born. 0101 Bocas del Toro 0102 Changuinola 0103 Chiriquí Grande 0201 Aguadulce 0202 Antón 0203 La Pintada 0204 Natá 0205 Olá 0206 Penonomé 0301 Colón 0302 Chagres 0303 Donoso 0304 Portobelo 0305 Santa Isabel 0401 Alanje 0402 Barú 0403 Boquerón 0404 Boquete 0405 Bugaba 0406 David 0407 Dolega 0408 Gualaca 0409 Remedios 0410 Renacimiento 0411 San Félix 0412 San Lorenzo 0413 Tolé 0501 Chepigana 0502 Pinogana 0601 Chitré 0602 Las Minas 0603 Los Pozos 0604 Ocú 0605 Parita 0606 Pesé 0607 Santa María 0701 Guararé 0702 Las Tablas 0703 Los Santos 0704 Macaracas 0705 Pedasí 0706 Pocrí 0707 Tonosí 0801 Arraiján 0802 Balboa 0803 Capira 0804 Chame 0805 Chepo 0806 Chimán 0807 La Chorrera 0808 Panamá 0809 San Carlos 0810 San Miguelito 0811 Taboga 0901 Atalaya 0902 Calobre 0903 Cañazas 0904 La Mesa 0905 Las Palmas 0906 Montijo 0907 Río De Jesús 0908 San Francisco 0909 Santa Fe 0910 Santiago 0911 Soná 1001 Comarca Kuna Yala 1101 Cémaco 1102 Sambú 1201 Besiko 1202 Mironó 1203 Müna 1204 Nole Duima 1205 Ñürüm 1206 Kankintú 1207 Kusapín 2103 Canada 2105 United States of America 2107 Mexico 2211 Guatemala 2213 El Salvador 2214 Honduras 2217 Nicaragua 2218 Costa Rica 2231 Cuba 2232 Dominican Republic 2233 Haiti 2244 Jamaica (Caiman Islands, Turks and Caicos) 2275 Puerto Rico 2311 Colombia 2313 Ecuador 2314 Venezuela 2321 Brazil 2331 Uruguay 2333 Argentina 2351 Peru 2353 Chile 2402 Germany 2417 Spain 2432 Italy 2443 United Kingdom 2518 China (Mainland) 2521 China-Taiwan (Formosa) 2528 Hong Kong 2531 India 2538 Israel 2548 Lebanon 2600 Russia 9900 Other country, response suppressed 9999 Unknown Other Person Variables -- PERSON District of permanent residence recoded For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A412 PA00A413 PA00A419" a="all">8. Where do you live permanently . . . <div class="i1">[] 0001 In this same place? ____ In a different locality? (specify) ____ District ____ Province _ _ _ _ _ ([If this option is selected,] go to question 9) [] 9998 In another country? (End the interview here)</div> </svar> <svar v="PA00A412 PA00A413 PA00A419" a="all">Question No. 8: Where do you live permanently? This information is necessary for determining the real population of every locality in the whole country. Permanent Residence is the locality where the enumerated person resides habitually. Mark with an "X" the circle " in this place" if an enumerated person claims to live permanently in the same locality where enumerated. In the contrary case, write down the name of the locality where the person lives permanently and its district. In both cases continue with question 9. For those who claim to live permanently " in another country", mark the corresponding circle and end the interview with this person. </svar> Panama 2000: All persons This variable indicates the recoded district of permanent residence. 0101 Bocas del Toro 0102 Changuinola 0103 Chiriquí Grande 0201 Aguadulce 0202 Antón 0203 La Pintada 0204 Natá 0205 Olá 0206 Penonomé 0301 Colón 0302 Chagres 0303 Donoso 0304 Portobelo 0305 Santa Isabel 0401 Alanje 0402 Barú 0403 Boquerón 0404 Boquete 0405 Bugaba 0406 David 0407 Dolega 0408 Gualaca 0409 Remedios 0410 Renacimiento 0411 San Félix 0412 San Lorenzo 0413 Tolé 0501 Chepigana 0502 Pinogana 0601 Chitré 0602 Las Minas 0603 Los Pozos 0604 Ocú 0605 Parita 0606 Pesé 0607 Santa María 0701 Guararé 0702 Las Tablas 0703 Los Santos 0704 Macaracas 0705 Pedasí 0706 Pocrí 0707 Tonosí 0801 Arraiján 0802 Balboa 0803 Capira 0804 Chame 0805 Chepo 0806 Chimán 0807 La Chorrera 0808 Panamá 0809 San Carlos 0810 San Miguelito 0811 Taboga 0901 Atalaya 0902 Calobre 0903 Cañazas 0904 La Mesa 0905 Las Palmas 0906 Montijo 0907 Río De Jesús 0908 San Francisco 0909 Santa Fe 0910 Santiago 0911 Soná 1001 Comarca Kuna Yala 1101 Cémaco 1102 Sambú 1201 Besiko 1202 Mironó 1203 Müna 1204 Nole Duima 1205 Ñürüm 1206 Kankintú 1207 Kusapín 9998 Other country 9999 Unknown Migration: Global Variables -- PERSON District or country of prior residence recoded For all individuals in the household <svar v="PA00A403 PA00A404 PA00A405 PA00A406 PA00A407 PA00A408 PA00A409 PA00A410 PA00A411 PA00A412 PA00A413 PA00A414 PA00A415 PA00A416 PA00A418 PA00A419 PA00A420">[Questions 1 - 9 were asked of all individuals.] </svar> <svar v="PA00A414 PA00A415 PA00A420 PA00A453" a="all">9. Where did you live before coming to live in this place? <div class="i1">[] 0001 In this same place (Go to question 10) ____ In another place (specify)</div> <div class="i2">____ District ____ Province ____ In another country (specify) _ _ _ _ _ (Go to question 9a)</div> </svar> <svar v="PA00A414 PA00A415 PA00A416 PA00A420 PA00A453" a="all">Question No. 9: Where did you live before coming to live in this place? The following question is asked with the purpose of measuring the migration through districts, provinces and nations for the indicated periods, or another manner of knowing the migratory movement of the population. Mark with as "X" the circle " In this place" if a person declares to reside in the same locality where being enumerated and move on to question 10. If a person used to live " In another locality", write down in the corresponding spaces the name of the locality, the district and the province where they used to reside before settling down in this place. Also, if a person declares to have lived in another country, write down its name. In both cases, continue with question 9a. [p. 77] Example: Mr. Montenegro declares that before coming to live in this place, he used to reside in Costa Rica. [Below the text is a form.] Ask this question, if the person declared in question 9 to have lived in another locality o in another country and indicate how long since returning. Example: Continuing with the above example, Mr. Montenegro returned from Costa Rica 3 years ago. [Below the text is a form.] </svar> Panama 2000: All persons This variable indicates the recoded district or country of prior residence. 0101 Bocas del Toro 0102 Changuinola 0103 Chiriquí Grande 0201 Aguadulce 0202 Antón 0203 La Pintada 0204 Natá 0205 Olá 0206 Penonomé 0301 Colón 0302 Chagres 0303 Donoso 0304 Portobelo 0305 Santa Isabel 0401 Alanje 0402 Barú 0403 Boquerón 0404 Boquete 0405 Bugaba 0406 David 0407 Dolega 0408 Gualaca 0409 Remedios 0410 Renacimiento 0411 San Félix 0412 San Lorenzo 0413 Tolé 0501 Chepigana 0502 Pinogana 0601 Chitré 0602 Las Minas 0603 Los Pozos 0604 Ocú 0605 Parita 0606 Pesé 0607 Santa María 0701 Guararé 0702 Las Tablas 0703 Los Santos 0704 Macaracas 0705 Pedasí 0706 Pocrí 0707 Tonosí 0801 Arraiján 0802 Balboa 0803 Capira 0804 Chame 0805 Chepo 0806 Chimán 0807 La Chorrera 0808 Panamá 0809 San Carlos 0810 San Miguelito 0811 Taboga 0901 Atalaya 0902 Calobre 0903 Cañazas 0904 La Mesa 0905 Las Palmas 0906 Montijo 0907 Río De Jesús 0908 San Francisco 0909 Santa Fe 0910 Santiago 0911 Soná 1001 Comarca Kuna Yala 1101 Cémaco 1102 Sambú 1201 Besiko 1202 Mironó 1203 Müna 1204 Nole Duima 1205 Ñürüm 1206 Kankintú 1207 Kusapín 2103 Canada 2105 United States of America 2107 Mexico 2211 Guatemala 2213 El Salvador 2214 Honduras 2217 Nicaragua 2218 Costa Rica 2231 Cuba 2232 Dominican Republic 2244 Jamaica (Caiman Islands, Turks and Caicos) 2311 Colombia 2313 Ecuador 2314 Venezuela 2321 Brazil 2333 Argentina 2351 Peru 2353 Chile 2402 Germany 2417 Spain 2432 Italy 2518 China (Mainland) 2521 China-Taiwan (Formosa) 2528 Hong Kong 2531 India 2538 Israel 9900 Other country, response suppressed 9997 Permanent residence foreign country 9999 Unknown Migration: Global Variables -- PERSON Attending school For individuals 4 years of age and older. <svar v="PA00A421 PA00A422 PA00A423">[Questions 10 -11 were asked of persons aged 4 and older.] </svar> <svar v="PA00A421" a="all">10. Do you currently attend school? <div class="i1">[] 1 Yes [] 2 No</div> </svar> For persons 4 years old or older <svar v="PA00A421" a="all">Question No. 10: Do you currently attend school? School attendance refers to both schools of regular education (official or private), as well as schools of vocational character that are not incorporated in the regular system of education (schools of 1, 2, or 3 years that teach dressmaking, beauty, mechanics, electricity, etc.). Also consider school attendance as any "pre-school" or "children center" and attendance at schools for persons with mental or physical deficiencies attendance in specialized courses that last six (6) months or more and attendance at courses for illiterates. Mark with an "X" the corresponding circle in agreement with the response of the enumerated person. Example: Vanessa is in the 1st year of secondary school. [Below the text is a form and a picture of a schoolgirl.] If at the moment of the Census the schools are closed for vacation, work stoppages, lack of teachers or another reason, and the enumerated person is a student waiting to renew classes, yes should be marked in question 10. </svar> Panama 2000: Persons age 4+ [discrepancies: none] This variable indicates whether the person currently attends school. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Level of schooling For individuals 4 years of age and older. <svar v="PA00A421 PA00A422 PA00A423">[Questions 10 -11 were asked of persons aged 4 and older.] </svar> <svar v="PA00A422 PA00A423" a="all">11. What was the highest grade or school year you passed? <div class="i1">[] 01 No grade [] 02 Preschool [] 03 Special education 1 _ Primary [For any response above,] (Go on to question 12) 2 _ Vocational 3 _ Secondary 4 _ Superior non-university 5 _ Superior University 6 _ Post-graduate 7 _ Master's degree 8 _ Doctorate [For any response above,] (Skip to question 13)</div> </svar> For persons 4 years old or older <svar v="PA00A422 PA00A423" a="all">Question No. 11: What was the highest grade or school year you passed? The objective of this question is to know the maximum grade of education achieved by persons in order to distinguish between those who finished or not, every one of the educative levels, besides, it permits us to detect if there have been, with time, changes in the educational structure. Remember that this question is applied to persons 4 years old or older. Mark the circle or write down in the corresponding space agreeing with the level of education, the number of years the person passed. Keep in mind the following definitions: <div class="i1">a) No Grade: is when a person did not go to school or did not finish first grade of primary school. b) Pre-school: is understood to be care centers or learning centers for children generally under 6 years, here is included both centers of adaptation like nurseries, day care, children's centers, pre-kindergarten, and Centers for Infant Orientation where they take care of infants, as well as centers of education like Kindergartens and Day-Care. c) Special Education: is the actions meant for providing educational opportunities to those whose physical, mental, emotional, social or pedagogical conditions require particular attention with the goal of developing the maximum of their capacities. Example: Panamanian Institute of Special Needs (IPHE). d) Primary: This type of education is free and obligatory for all minors understood to be between six (6) to fifteen (15) years of completed age. Nevertheless, it is possible to find students with ages between five (5) and eighteen (18), attending primary school. e) Vocational: Its purpose is to prepare directly the students for a craft of profession, consisting of a basic cycle of vocational orientation of two (2) years of duration, has as a requisite the possession of a certificate of finishing primary studies. f) Secondary: This educational level has as a prerequisite the passing of the primary level of education, and is at the same time required for superior education. Middle education is integrated by two cycles:</div> [p. 80] <div class="i2">First Cycle: usually consists of three (3) years. It requires a certificate of finishing primary studies. Second Cycle: generally is represented by a Bachelor in sciences, letters or business. Its pre-requisite is possessing a certificate of first cycle. Normal education which also prepares for teacher training also requires the same pre-requisite.</div> <div class="i1">g) Superior Non-University: is the education that superior institutes of diverse specialties offer, these institutes have their own programs, curriculum and because of their characteristics are not considered university courses, such as Tourism, Institute of Computer Science, etc. its requirement is to have a bachelor or secondary degree, and its duration is two (2) years. h) Superior University: is the education that is imparted at the [The following is a list of specific universities in Panama.] University of Panama, "Technología" of Panama, Santa María La Antigua, del Istmo, Latina de Costa Rica, Interamericana, ULACIT and others. i) Graduate: is studies that are done corresponding to the superior university level after the academic level. j) Masters: refers to the superior academic level, after having obtained a degree. k) Doctorate: refers to the highest academic level that a person can aspire to, having finished the degree is required.</div> These last three stages of study can be of one, two or three years, either in the country or abroad. [p. 81] Examples: Declared Information [Below the text is a chart with a column for case number, declared information, which category that pertains to and how it should be marked on the questionnaire.] <div class="i1">Case 1 A person declares to have passed 4th grade of primary school. Primary Case 2 A person states to have not attended school or did not finish first grade of primary school and at the moment of the interview is taking first grade. No Grade Case 3 A person declares to have graduated from Systems Engineering of the Technologic University (5 years). University Superior Case 4 A person declares that their child attends classes in the IPHE. Special Education Case 5 A person declares to have just completed a Graduate School in Finance (1 year). Graduate Case 6 A mother states that her child of 4 years attends the Center of Infant Orientation. Preschool Case 7 A person obtained a degree in dressmaking in a Vocational school. Vocational</div> Do not use roman numerals. Keep in mind that the highest grade or year of regular education totally passed is requested and consequently neither half grades nor grades that have not been completely finished or passed should be written down. In those schools or secondary schools in which premedia [equivalent to middle school] has been implemented, if a person claims to study the 7th, 8th or 9th grade, remember that it refers to the 1st, 2nd, or 3rd year of formal secondary education. If a person has received education abroad or in schools in the Panama Canal Zone, write down the equivalent grade in the system of regular education of the country with the closest possible approximation. For example: the 8th grade of the schools of the Canal Zone of Panama is equivalent to the 2nd grade of secondary schooling in Panama. [p. 82] Consider as a vocational school those that are not incorporated in the system of regular education and that teach dressmaking, mechanics, electricity, commerce arbitrator, etc. Do not include in this category schools and official schools known as vocational but that are incorporated into the system of regular education, such as is the case of the School of Arts and Crafts and the professional and technical institutes that are found in different parts of the national territory. Note: If a person has studied in a school of regular education and also, in a vocational school, consider as level passed as the one of regular education, always and when this one is the highest; in the case of them being the same in both schools, write down the one of the regular school </svar> Panama 2000: Persons age 4+ [discrepancies: none] This variable indicates the highest level of schooling the person has passed. 01 No grade 02 Preschool 03 Special education 11 First primary 12 Second primary 13 Third primary 14 Fourth primary 15 Fifth primary 16 Sixth primary 19 Primary undeclared 21 First Vocational 22 Second Vocational 23 Third vocational 29 Vocational undeclared 31 First secondary 32 Second secondary 33 Third secondary 34 Fourth secondary 35 Fifth secondary 36 Sixth secondary 39 Secondary undeclared 41 First superior non-university 42 Second superior non-university 43 Third superior non-university 49 Superior non-university undeclared 51 First university 52 Second university 53 Third university 54 Fourth university 55 Fifth university 56 Sixth university 59 University undeclared 61 Post-graduate 69 Post-graduate undeclared 71 First master's-level 72 Second master's-level 79 Master's level undeclared 81 First doctorate-level 82 Second doctorate-level 83 Third doctorate-level 84 Fourth doctorate-level 89 Doctorate-level undeclared 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Level of schooling recoded For individuals 4 years of age and older. <svar v="PA00A421 PA00A422 PA00A423">[Questions 10 -11 were asked of persons aged 4 and older.] </svar> <svar v="PA00A422 PA00A423" a="all">11. What was the highest grade or school year you passed? <div class="i1">[] 01 No grade [] 02 Preschool [] 03 Special education 1 _ Primary [For any response above,] (Go on to question 12) 2 _ Vocational 3 _ Secondary 4 _ Superior non-university 5 _ Superior University 6 _ Post-graduate 7 _ Master's degree 8 _ Doctorate [For any response above,] (Skip to question 13)</div> </svar> For persons 4 years old or older <svar v="PA00A422 PA00A423" a="all">Question No. 11: What was the highest grade or school year you passed? The objective of this question is to know the maximum grade of education achieved by persons in order to distinguish between those who finished or not, every one of the educative levels, besides, it permits us to detect if there have been, with time, changes in the educational structure. Remember that this question is applied to persons 4 years old or older. Mark the circle or write down in the corresponding space agreeing with the level of education, the number of years the person passed. Keep in mind the following definitions: <div class="i1">a) No Grade: is when a person did not go to school or did not finish first grade of primary school. b) Pre-school: is understood to be care centers or learning centers for children generally under 6 years, here is included both centers of adaptation like nurseries, day care, children's centers, pre-kindergarten, and Centers for Infant Orientation where they take care of infants, as well as centers of education like Kindergartens and Day-Care. c) Special Education: is the actions meant for providing educational opportunities to those whose physical, mental, emotional, social or pedagogical conditions require particular attention with the goal of developing the maximum of their capacities. Example: Panamanian Institute of Special Needs (IPHE). d) Primary: This type of education is free and obligatory for all minors understood to be between six (6) to fifteen (15) years of completed age. Nevertheless, it is possible to find students with ages between five (5) and eighteen (18), attending primary school. e) Vocational: Its purpose is to prepare directly the students for a craft of profession, consisting of a basic cycle of vocational orientation of two (2) years of duration, has as a requisite the possession of a certificate of finishing primary studies. f) Secondary: This educational level has as a prerequisite the passing of the primary level of education, and is at the same time required for superior education. Middle education is integrated by two cycles:</div> [p. 80] <div class="i2">First Cycle: usually consists of three (3) years. It requires a certificate of finishing primary studies. Second Cycle: generally is represented by a Bachelor in sciences, letters or business. Its pre-requisite is possessing a certificate of first cycle. Normal education which also prepares for teacher training also requires the same pre-requisite.</div> <div class="i1">g) Superior Non-University: is the education that superior institutes of diverse specialties offer, these institutes have their own programs, curriculum and because of their characteristics are not considered university courses, such as Tourism, Institute of Computer Science, etc. its requirement is to have a bachelor or secondary degree, and its duration is two (2) years. h) Superior University: is the education that is imparted at the [The following is a list of specific universities in Panama.] University of Panama, "Technología" of Panama, Santa María La Antigua, del Istmo, Latina de Costa Rica, Interamericana, ULACIT and others. i) Graduate: is studies that are done corresponding to the superior university level after the academic level. j) Masters: refers to the superior academic level, after having obtained a degree. k) Doctorate: refers to the highest academic level that a person can aspire to, having finished the degree is required.</div> These last three stages of study can be of one, two or three years, either in the country or abroad. [p. 81] Examples: Declared Information [Below the text is a chart with a column for case number, declared information, which category that pertains to and how it should be marked on the questionnaire.] <div class="i1">Case 1 A person declares to have passed 4th grade of primary school. Primary Case 2 A person states to have not attended school or did not finish first grade of primary school and at the moment of the interview is taking first grade. No Grade Case 3 A person declares to have graduated from Systems Engineering of the Technologic University (5 years). University Superior Case 4 A person declares that their child attends classes in the IPHE. Special Education Case 5 A person declares to have just completed a Graduate School in Finance (1 year). Graduate Case 6 A mother states that her child of 4 years attends the Center of Infant Orientation. Preschool Case 7 A person obtained a degree in dressmaking in a Vocational school. Vocational</div> Do not use roman numerals. Keep in mind that the highest grade or year of regular education totally passed is requested and consequently neither half grades nor grades that have not been completely finished or passed should be written down. In those schools or secondary schools in which premedia [equivalent to middle school] has been implemented, if a person claims to study the 7th, 8th or 9th grade, remember that it refers to the 1st, 2nd, or 3rd year of formal secondary education. If a person has received education abroad or in schools in the Panama Canal Zone, write down the equivalent grade in the system of regular education of the country with the closest possible approximation. For example: the 8th grade of the schools of the Canal Zone of Panama is equivalent to the 2nd grade of secondary schooling in Panama. [p. 82] Consider as a vocational school those that are not incorporated in the system of regular education and that teach dressmaking, mechanics, electricity, commerce arbitrator, etc. Do not include in this category schools and official schools known as vocational but that are incorporated into the system of regular education, such as is the case of the School of Arts and Crafts and the professional and technical institutes that are found in different parts of the national territory. Note: If a person has studied in a school of regular education and also, in a vocational school, consider as level passed as the one of regular education, always and when this one is the highest; in the case of them being the same in both schools, write down the one of the regular school </svar> Panama 2000: Persons age 4+ [discrepancies: none] This variable indicates the recoded highest level of education the person has passed. 01 No grade 02 Preschool 03 Primary incomplete 04 Primary complete 05 Primary undeclared 06 Secondary incomplete 07 Secondary complete 08 Secondary undeclared 09 University up to 3 10 University 4 and above 11 University undeclared 12 Post-graduate 13 Master's degree 14 Doctorate 15 Superior-non-university 16 Vocational 17 Special education 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Able to read and write For individuals 10 years of age and older <svar v="PA00A424 PA00A425">[Question 12 -13 were asked of individuals 10 years of age and older.] </svar> <svar v="PA00A424" a="all">12. Are you able to read and write? <div class="i1">(Mark "yes" only if able to do both) [] 1 Yes [] 2 No (Skip to Section VII)</div> </svar> <svar v="PA00A424 PA00A425">Questions 12 and 13. For persons 10 years old or older If a person declared, in question 11 no grade, special education or until the third grade of primary school and is 10 years old or older, ask question 12 (Do you know how to read and write), if the contrary, draw a diagonal line through this question and go to question 13. </svar> <svar v="PA00A424" a="all">Question No. 12. Are you able to read and write? This question is asked with the purpose of measuring the literacy level of the population. [To the left and right of the text are pictures of children reading and writing.] If a person knows how to read and write a message, mark Yes (circle 1). If they only read or write numbers, although they know how to sign their name, mark No (circle 2) and go to Section VII. Economic Characteristics. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates whether the person is able to read and write. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Worked last week For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A426" a="all">14. Did you work last week or have a job from which you were temporarily absent? <div class="i1">[] 1 Yes (Go to question 18) [] 2 No (continue with question 15)</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A426" a="all">Question No. 14: Did you work last week or did you have any job from which you were temporarily absent? Work is understood to be all labored activity that is done with the purpose of producing goods and services that have economic value in the market. If the response is yes, mark the corresponding circle and go to question 18. If they answer " no", continue with question 15. [To the left of the text is a picture of a woman secretary.] In this question, persons who are employed or that is those who have a remunerated job or employment or those who have their own business like for example the owner of a grocery store, the businessperson who has their own office, etc. should respond "yes". [To the right of the text is a picture of a welder.] The box "yes" should be marked also, for all persons who work independently. For example: <div class="i1">A dress designer who works at home. A woman who does beautician jobs. An ironer who irons in a family house. A gardener who works in different houses. A woman who makes food for selling outside of the house. A woman who weaves baskets or any other craft for selling. A peddler or traveling salesperson. A farmer who works a plot of land. A child of a farmer who helps the father with the crops. A farmer who does not have any land, but makes a living as cane cutter cleaning fields or as one who sows.</div> [To the right of the text are pictures of a hairstylist and a farmer.] [p. 88] Also, "yes" should be marked when: A person has employment but was absent last week because of temporary incapacity, vacation or on leave because of pregnancy or other reason. An independent worker that during the reference week worked few hours or did not work for temporary reasons. For example: a taxi driver whose car was being repaired, a candy salesperson who became sick, etc. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates whether the person worked last week or not. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Looked for work last week For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A427" a="all">15. Did you look for work last week? <div class="i1">[] 1 Yes (Go to question 18) [] 2 No (continue with question 16)</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A427" a="all">Question No. 15: Did you look for work last week? (For persons who answered no on question 14.) If the answer is yes, mark the corresponding circle and go to question 18. If the person answers "no", continue with question 16. </svar> Panama 2000: Persons age 10+ who did not work last week [discrepancies: none] This variable indicates whether the person looked for work last week. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Looked for work last three months For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A428" a="all">16. Did you look for work during the last three months? <div class="i1">[] 1 Yes (Go to question 18) [] 2 No (continue with question 17)</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A428" a="all">Question No. 16: Did you look for work during the last three months? (For persons who answered no in question 15.) If a person answers "Yes", mark the corresponding circle and go to question 18. In the case of a person who has answered " no", continue with question 17. </svar> Panama 2000: Persons age 10+ who did not work and look for job last week [discrepancies: none] This variable indicates whether the person looked for work during the last three months. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Reason for not looking for work For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A429 PA00A431" a="all">17. What was the reason for not looking for work last week? <div class="i1">[] 1 Does occasional jobs [] 2 Looked before and waiting to hear [] 3 Impossible to find work [For responses 1-3,] (Continue with question 18) [] 4 Retired or pensioner [] 5 Student [] 6 Household worker or housewife [explicitly feminine] [] 7 Rentier [] 8 Other condition [For responses 4-8,] (Skip to question 20)</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A429 PA00A431" a="all">Question No. 17: What was the reason for not looking for work last week? Read all the alternatives presented in the questionnaire and begin to mark the circle according to the response of the person. If a person responds affirmatively in any of the circles 1 to 3 (Does occasional jobs, looked before and waits or news or impossible to find work), mark the corresponding circle and continue with question 18. [p. 89] For those who respond "Yes" in any of the circles 4 to 8 (Retiree or pensioned, Student, Worker in the home or Homemaker, Rentier or Other condition), mark the corresponding circle, go to question 23 and draw a diagonal line through questions 18 to 22. Keep in mind the following definitions: Does occasional jobs: A person who does not look for employment because they depend on a job that they do periodically and that generates enough income to survive. Example: sailors, contractors who during the reference week were found resting in their houses. [To the right of the text is a picture of a person working.] Looked for work and is waiting for news: has looked for work before and is waiting to be called or sent for. [To the right of the text is a picture of a person reading the classified ads.] Impossible to find work: A person who claims to have not looked for work during the reference week since they have looked before and have not found any. [To the left of the text is a person looking through a magnifying glass [!].] Retired or pensioned: A person who has stopped working and is receiving income as retirement payments or pensions. Do not include persons who receive food pensions for divorce or separation. [To the right of the text is a picture of a two persons.] Student: A person dedicated only and exclusively to studying [To the left of the text is a picture of a student.] Household worker or housewife [explicitly feminine]: Persons of one or other sex, without managing any economic activity dedicate themselves to taking care of their own homes. For example, the homemakers and other family members that are charged with the attention of the house and the children. These persons do only and exclusively domestic tasks and chores in their own home and are not looking for work, are not retired, or pensioned or live on investments, or attend school. [To the left of the text is a picture of a woman carrying a plant.] [p. 90] Rentier: a person who receives money or investments from a business, company, real estate, renting of land, machinery, etc. [To the right of the text is a picture of a person.] Other condition: a person who, without being classified in any of the groups above, does no economic activity. This person can be idle, physically or mentally handicapped, etc. [To the right of the text is a picture of the handicapped logo.] If a person is dedicated to studying and also works, they should be marked in question 14 in circle 1 (Yes); equally, if a person is retired and also works, they should be marked in circle 1 in question 14. In summary, the fact that a person works prevails in the classification of question 14 to 17. When classifying the population you should take special care with persons who declare to be " Worker in the home, Homemaker" or " Student" because the first group at times also does remunerated jobs like; clean, iron, sew, do hair, paint fingernails, make candy or food to sell, etc. in their own home or outside of it, but because they spend little time in these labors they forget to supply this information. On the other hand, some students after class or on weekends dedicate themselves to cleaning shoes, selling newspapers, supermarket packer, washing cars etc. Equal care should be taken with the spouse or companion or the children of farm families, who regularly help with the agricultural labors but do not declare this job. If it comes about that a person worked during this period even though it was partially, should be classified in the category of Employed which corresponds to the Economically Active Population. For the case of the workers of the home or homemakers who attend school, that is to say, that they have been marked in circle 1 (Yes) in question 10 of Section VI. Educational Characteristics, you should mark circle 5 (Student) of the question 17 of Section VII. Economic Characteristics. </svar> Panama 2000: Persons age 10+ who did not work and look for job for the last three months [discrepancies: none] This variable indicates the reason for not looking for work for the last three months. 1 Occasional work (odd jobs) 2 Looked before and waiting to hear 3 Impossible to find work 4 Retired or pensioner 5 Student 6 Domestic work 7 Rentier 8 Other condition 9 NIU (not in universe) Work Variables -- PERSON Contract type For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A430 PA00A434" a=" PA00A430">22. Are you or were you employed . . . <div class="i1">[] 1 Permanently? [] 2 Contracted for a specific job? [] 3 On a fixed contract? [] 4 On an indefinite contract?</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A430 PA00A434" a=" PA00A430">Question No. 22: What kind of employment do you or did you have? Read the alternatives and mark the circle corresponding to the response agreeing with the response of the person, considering the following definitions: <div class="i1">Permanent. Circle 1: They are workers of the Governmental Sector who always have been appointed by decree. Contract for a specific job. Circle 2: It is the case of construction workers whose job duration and or contract validity is limited to the period of how long the work lasts. On a fixed contract. Circle 3: Labor condition in which a worker in a private company or in the governmental sector can be found whose contract has a fixed period of validity. Indefinite contract. Circle 4: Labor condition in which all workers in a private company who have a work contract with an undetermined duration between both interested parts (Worker and employer) are found.</div> </svar> Panama 2000: Persons age 10+ who have worked before and who work for others [discrepancies: none] This variable indicates the contract type. 1 Permanent 2 Contracted for a specific job 3 Defined contract 4 Indefinite contract 9 NIU (not in universe) Work Variables -- PERSON Activity status recoded For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A429 PA00A431" a="all">17. What was the reason for not looking for work last week? <div class="i1">[] 1 Does occasional jobs [] 2 Looked before and waiting to hear [] 3 Impossible to find work [For responses 1-3,] (Continue with question 18) [] 4 Retired or pensioner [] 5 Student [] 6 Household worker or housewife [explicitly feminine] [] 7 Rentier [] 8 Other condition [For responses 4-8,] (Skip to question 20)</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A429 PA00A431" a="all">Question No. 17: What was the reason for not looking for work last week? Read all the alternatives presented in the questionnaire and begin to mark the circle according to the response of the person. If a person responds affirmatively in any of the circles 1 to 3 (Does occasional jobs, looked before and waits or news or impossible to find work), mark the corresponding circle and continue with question 18. [p. 89] For those who respond "Yes" in any of the circles 4 to 8 (Retiree or pensioned, Student, Worker in the home or Homemaker, Rentier or Other condition), mark the corresponding circle, go to question 23 and draw a diagonal line through questions 18 to 22. Keep in mind the following definitions: Does occasional jobs: A person who does not look for employment because they depend on a job that they do periodically and that generates enough income to survive. Example: sailors, contractors who during the reference week were found resting in their houses. [To the right of the text is a picture of a person working.] Looked for work and is waiting for news: has looked for work before and is waiting to be called or sent for. [To the right of the text is a picture of a person reading the classified ads.] Impossible to find work: A person who claims to have not looked for work during the reference week since they have looked before and have not found any. [To the left of the text is a person looking through a magnifying glass [!].] Retired or pensioned: A person who has stopped working and is receiving income as retirement payments or pensions. Do not include persons who receive food pensions for divorce or separation. [To the right of the text is a picture of a two persons.] Student: A person dedicated only and exclusively to studying [To the left of the text is a picture of a student.] Household worker or housewife [explicitly feminine]: Persons of one or other sex, without managing any economic activity dedicate themselves to taking care of their own homes. For example, the homemakers and other family members that are charged with the attention of the house and the children. These persons do only and exclusively domestic tasks and chores in their own home and are not looking for work, are not retired, or pensioned or live on investments, or attend school. [To the left of the text is a picture of a woman carrying a plant.] [p. 90] Rentier: a person who receives money or investments from a business, company, real estate, renting of land, machinery, etc. [To the right of the text is a picture of a person.] Other condition: a person who, without being classified in any of the groups above, does no economic activity. This person can be idle, physically or mentally handicapped, etc. [To the right of the text is a picture of the handicapped logo.] If a person is dedicated to studying and also works, they should be marked in question 14 in circle 1 (Yes); equally, if a person is retired and also works, they should be marked in circle 1 in question 14. In summary, the fact that a person works prevails in the classification of question 14 to 17. When classifying the population you should take special care with persons who declare to be " Worker in the home, Homemaker" or " Student" because the first group at times also does remunerated jobs like; clean, iron, sew, do hair, paint fingernails, make candy or food to sell, etc. in their own home or outside of it, but because they spend little time in these labors they forget to supply this information. On the other hand, some students after class or on weekends dedicate themselves to cleaning shoes, selling newspapers, supermarket packer, washing cars etc. Equal care should be taken with the spouse or companion or the children of farm families, who regularly help with the agricultural labors but do not declare this job. If it comes about that a person worked during this period even though it was partially, should be classified in the category of Employed which corresponds to the Economically Active Population. For the case of the workers of the home or homemakers who attend school, that is to say, that they have been marked in circle 1 (Yes) in question 10 of Section VI. Educational Characteristics, you should mark circle 5 (Student) of the question 17 of Section VII. Economic Characteristics. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates the employment status. 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Impossible to find work 4 Housewife 5 Retired 6 Rentier 7 Student 8 Other condition 9 Unknown Work Variables -- PERSON Occupation For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A432 PA00A434 PA00A435 PA00A451" a="PA00A432 PA00A435 PA00A451">18. What occupation, position or job did you do week or the last time you worked? <div class="i1">(If the person never worked, mark the circle "never worked.") ________ (specify the occupation) _ _ _ _ [] 9998 Never worked (Skip to question 23)</div> 19. Where do you work or where did you work the last? <div class="i1">(If the person worked in an establishment, company or institution, write the corresponding name; in the case of one who worked in the street, in the home, or in another family's home, on an agricultural plantation, etc, write what the person states.) ________</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A432 PA00A435 PA00A451" a="all">Question No. 18: What occupation, position or job did you do last week or the last time you worked? For a person who works you should ask what occupation, trade or job was done last week; if the person has more than one job, write down the occupation of the principal job. Consider as the principal job as the one which produces the largest income. For a person who answers that they did not work, you should ask what occupation, trade or job they did the last time they worked. Write down in the designed space the principal occupation, the employment or job that they did the last time they worked. If an unemployed person never has worked, but rather is looking for their first employment, mark the corresponding circle and go to question 23. The highest age for these persons is 29 if male and 45 if female, investigate the cause and make the respective observations. Write down in this question the specific occupation that is done in the job of the enumerated person, avoiding vague or generic terms. Example: [Below the text is a chart with 2 columns, one called "information" and one called "you should right down".] <div class="i1">Information Office worker You should write down Internal Messenger Hotel Receptionist Bank Teller Executive Secretary Information Driver You should write down Of a truck Of a taxi Of a bus Of a mule Information Mechanic You should write down Of cars Bicycle Assembler Of diesel engines Of sewing machines Of typewriters Information Seller You should write down Of newspapers Of lottery, Chances, etc In clothes department stores, In a pharmacy Information Doctor You should write down Psychiatrist Children's Dental Surgeon Dermatologist Pediatrician Information Construction Worker You should write down Mason Helper Mosaiquero [construction worker specialized in setting up tile] Shoveller Information Secretary You should write down Accountant Executive Information Cutter (Machetero) You should write down Gardener: in family house, parks, etc. In the street: cleaner of patches of land In their country: farmer</div> </svar> Panama 2000: Persons age 10+ who are employed [discrepancies: none] This variable indicates the person's occupation. 011 Workers in the armed forces 012 Workers in occupations not identified or not clearly declared 111 Members of the executive or legislative branches 112 Directive personnel in the public sector 113 Members of local and small town governments 114 Directors of political, labor, and civil association organizations 121 General directors and general managers of companies 122 Directors of production and operations departments 123 Other department directors 131 Company managers 211 Physicists, chemists, and related occupations 212 Mathematicians, statisticians, and related occupations 213 Computer science professionals 214 Architects, engineers, and related occupations 221 Biological science and other disciplines related to organic beings professionals 222 Medical doctors and related occupation professionals (except nurses and midwifes) 223 Higher level nursing personnel 231 Professors at universities and other higher education institutions 232 High school teachers 233 Primary and pre-primary teachers and instructors 234 Special education teachers and instructors 235 Other education professionals 241 Professionals in organization and administration of businesses 242 Law-related occupations (judges, attorneys, etc.) 243 Archivists, librarians, curators, and related occupations 244 Professionals in social and human sciences 245 Writers, creative artists, and performers 246 Priests and ministers of different faiths 311 Physics, chemistry, and engineering technicians 312 Software and computer science technicians 313 Optic and electronic equipment operators 314 Marine and air navigation technicians 315 Construction, security, health, and quality control supervisors 321 Intermediate level technicians in biological, agricultural, zoological, and related sciences 322 Intermediate level professionals in modern medicine and health (except nurses and midwives) 323 Intermediate level nurses 324 Traditional medicine practitioners and healers 331 Intermediate level teachers and instructors 341 Intermediate level professionals in financial and commercial operations 342 Commercial agents and brokers 343 Intermediate level professionals in administration services 344 Customs, tax collection, and related occupations agents 345 Policemen and detectives 346 Intermediate level social workers and assistants 347 Intermediate level professionals in artistic activities, shows, and sports 348 Religious ceremony nonclerical assistants 349 Other intermediate level technicians and professionals, n.e.c. 411 Secretaries and office machine operators 412 Accounting and financial assistants 413 Inventory keepers and transportation personnel 414 Library and postal and related employees 419 Other clerical workers 421 Cashiers, ticket clerks, and related occupations 422 Customer service and information employees 431 Heads and supervisors of health, social assistance, education, and justice service institutions 432 Heads and supervisors of accounting, finance, human resources, archives, and related activities 433 Heads and supervisors in communication and transportation activities 434 Heads and supervisors in statistical, information technology, engineering, social research, marketing, and other services 435 Heads and supervisors in public works (water, electricity, roads, telecommunications, etc.) services 436 Heads and supervisors in cultural and entertainment services 437 Heads and supervisors in commercial activities 438 Other heads and supervisors in activities n.e.c. 511 Workers in direct passenger service 512 Butlers and house service, and restaurant service workers 513 Personal care and related activities workers 514 Other personal service workers 515 Astrologer, fortunetellers, and related occupations 516 Protection and security service workers 521 Fashion, art, and advertising models 522 Salespeople, promoters, and related occupations 523 Owners of wholesale and retail sale establishments 611 Workers in agricultural activities 612 Workers in cattle and other animal breeding activities 613 Workers in forestry and wooding activities 614 Workers in fishing, hunting, and trap setting activities 621 Foremen in farming operations 711 Mine and quarry workers 712 Structural construction and related workers 713 Construction finishing and related workers 714 Painters, varnishers, cleaners and related occupations 721 Welders, furnace operators, metallic structures installers, and related occupations 722 Blacksmiths, locksmiths, and related occupations 723 Mechanics and machine maintenance workers 724 Mechanics and electric and electronic equipment maintenance workers 731 Mechanics and precision instrument repair people 732 Potters, glass artists, and related occupations 733 Wood, fabrics, leather and related materials artisans 734 Graphic arts and related workers 735 Artisans and workers in the production of paper and cardboard products 741 Workers in the food, beverage, and tobacco industries 742 Wood artisans, cabinet-makers and related occupations 743 Workers in the textile, apparel, and related industries 744 Workers in the fur, leather and footwear industries 751 Heads and supervisors in the extraction and construction industries 752 Heads and supervisors in the metallurgical, mechanical, and related industry 753 Heads and supervisors of tile, glass, and graphic arts workers, and wood, textiles, and leather artisans 754 Other heads and supervisors in the manufacturing industry, n.e.c. 811 Mining plant operators 812 Metal processing plant operators 813 Glass, ceramic and related plant operators 814 Wood processing and paper plant operators 815 Chemical treatment plant operators 816 Energy and related production plant operators 821 Metal and mineral product machine operators 822 Chemical product machine operators 823 Rubber and plastic product machine operators 824 Wood product machine operators 825 Printing, binding, and paper product machine operators 826 Textile and leather products machine operators 827 Food products machine operators 828 Installers 829 Other machine operators and installers 831 Train machinists and related occupations 832 Motor vehicle drivers 833 Agricultural and other mobile machine operators 834 Sailors and related occupations 911 Peddlers and related occupations 912 Bootblacks, and other street workers 913 Domestic service and related activities personnel 914 Superintendents, window washers and related activities 915 Messengers, door people, and related occupations 916 Trash collectors, swipers, and related occupations 921 Workers in mining and construction 922 Workers in the manufacturing industry 923 Transportation, commerce, and other workers n.e.c. 998 Never worked 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupational category For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v=" PA00A433 PA00A434" a="PA00A433 PA00A434">21. Do you work or did you work the last as a . . . <div class="i1">[] 01 Government employee? [] 02 Employee of a private company? [] 03 Employee of the Canal Commission or Defense Sites? [] 04 Employee of a not-for-profit institution? [] 05 Domestic servant? [For responses 1-5,] (Continue with question 22) [] 06 Independent or own-account? [] 07 Owner or employer? [] 08 Family worker? [] 09 Member of a production cooperative? [For responses 6-9,] (Skip to question 23)</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A433 PA00A434" a="all">Question No. 21: Do you work or did you work the last as a: The objective of this question is to know the category of the occupation, which is nothing more than the classification with respect to the employment that the interviewed person manages or managed, whether employed or unemployed. Before asking this question, observe the responses written down in questions 19 and 20, since based on these responses, in some cases you will be able to deduce which circle in this question to mark. Read the alternatives and mark the corresponding circle, according to the case, for which you keep in mind the following definitions: <div class="i1">Circle 01. Government Employee: is a person who works or has worked for the national or municipal government, such as: Government worker, Ministry of Agricultural and Livestock Development (MIDA), autonomous or semi-autonomous institutions like the Savings Bank, Social Security Fund, and state companies like the Institute of National Water Systems and Sewer Systems (IDAAN), Authority of the Inter-oceanic Region (ARI), and receive for their work remuneration in the form of wage or salary. [To the left of the text is a picture of an office worker.] Circle 02. Private Company Employee: is a person who works or has worked for a private owner and receives remuneration in the form of wage, salary, commission, paid by the job or in kind. Example: agricultural worked, sellers in a grocery store, employee in a shoe factory, accounting head, executive secretary, etc. [To the left of the text is a picture of a person working.] Circle 03. Employee in the Canal Commission or Defense Sites: is a person who used to work for the Canal Commission or Defense Sites (Army [in English]) and receives for the work remuneration in the form of wage or salary.</div> [p. 97] <div class="i1">Circle 04. Employee of a Non-Profit Institution: is a person who works or has worked for and Non-Profit Institution, example: National Association for the nature conservation, House of Hope, Caritas, Remar" [To the right of the text is a picture.] Circle 05. Domestic Servant: is a person who works or has worked for a single home different than their own, doing activities and receives for the work a salary in money or in kind; example: domestic employee, gardener, chauffer, cook, house keeper, butler, etc. Circle 06. Independent or own-account: is a person who runs or who has run their own economic company or private business or manages or has managed a profession or office in an independent form and is not in charge of any employees. It can be work alone or with an associate; example: Bus driver, traveling salesperson, dress maker at home, shoe shiner, etc. [To the left of the text is a picture of a person sawing a piece of wood.] Circle 07. Owner or Employer: One who runs or has run their own economic business (alone or with associates), or manages on their own account a profession or office, that always is in charge of one or more employees who receive salaries in money or in kind. Circle 08. Family Worker: is a person who manages or has managed an occupation for 15 hours or more during the reference week, without receiving remuneration, in a company or business run by a member of their own family. Circle 09. Member of a Production Cooperative: is a person who has participated or participates in an associative type of company that produces an article or good, that requires some grade of transformation. Generally the members provide themselves the decision making power and the benefits go back to or are distributed by way of cooperative returns; examples: Cooperative of Work and Food Storage 1 de mayo, Cooperative of Producers of Mola [a type of Panamanian blouse], R. L.</div> Considering that it may prove to be too simple to determine who is an Employee or salary earner (Of the Government, Private Company, Canal Commission, etc.) let us analyze the rest of the occupational categories and the following cases a little more: [p. 100] <div class="i1">a. You are enumerating the dwelling of Mr. Juan Batista, when asking him about his place of work he says the he works in the workshop Vargas-Matamoros (question 19). Before marking the circle, be careful in making the correct classification asking additional questions like the following: Are you the owner or employee of this business? If he is the owner ask if he is in charge of employees. If the response is yes classify him as owner or employer (circle 07); on the contrary if he has no employees, classify him as independent or for their own account (circle 06). In the case that Mr. Batista declares to work for other persons, classify him as private company employee (circle 02). b. You will be able to determine the category of occupation of the persons in some cases, by means of question 18 (occupation). Example: a shoe shiner, traveling salesperson, car washer, scrap seller, newspaper seller and other occupations that persons do in which they logically are not in charge of any employees. These persons can be classified automatically as independent or for their own account (circle 06). c. In equal form the category of occupation (question 21) will be able to be determined through the response given to question 16 (place of work). Example: If a person states that they worked in the National Environmental Authority, the Institute of National Water Systems and Sewer Systems or any other governmental dependency, you can automatically classify them as Government Employee (Circle 01). Equally if a person works in their house or in the street, they can be classified for their own account (circle 06). d) Inasmuch as the family worker, you may think that it concerns a person who works in a family house, nevertheless, if you carefully read the definition, it will become clear to you that it concerns a person who works 15 hours or more a week in the business of a family member without receiving a wage or a salary. In this category are included the family members of farmers who work in the same plot of land without receiving payment. Examples:</div> <div class="i2">A child who works (Tuesday to Sunday) in mother's shop without receiving payment 8 hours daily. 16 year old student who used to work in the afternoon with grandfather in a farm without receiving a salary, from Wednesday to Sunday for 3 hours every day.</div> </svar> Panama 2000: Persons age 10+ who have worked before [discrepancies: none] This variable indicates the person's occupational category. 01 Government employee 02 Employee of a private company 03 Employee of the canal zone or defense installations 04 Non-profit organization 05 Domestic servant 06 Independent or own-account 07 Owner or employer 08 Family worker 09 Member of a production cooperative 99 NIU (not in universe) Work Variables -- PERSON Occupation recoded For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A432 PA00A434 PA00A435 PA00A451" a="PA00A432 PA00A435 PA00A451">18. What occupation, position or job did you do week or the last time you worked? <div class="i1">(If the person never worked, mark the circle "never worked.") ________ (specify the occupation) _ _ _ _ [] 9998 Never worked (Skip to question 23)</div> 19. Where do you work or where did you work the last? <div class="i1">(If the person worked in an establishment, company or institution, write the corresponding name; in the case of one who worked in the street, in the home, or in another family's home, on an agricultural plantation, etc, write what the person states.) ________</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A432 PA00A435 PA00A451" a="all">Question No. 18: What occupation, position or job did you do last week or the last time you worked? For a person who works you should ask what occupation, trade or job was done last week; if the person has more than one job, write down the occupation of the principal job. Consider as the principal job as the one which produces the largest income. For a person who answers that they did not work, you should ask what occupation, trade or job they did the last time they worked. Write down in the designed space the principal occupation, the employment or job that they did the last time they worked. If an unemployed person never has worked, but rather is looking for their first employment, mark the corresponding circle and go to question 23. The highest age for these persons is 29 if male and 45 if female, investigate the cause and make the respective observations. Write down in this question the specific occupation that is done in the job of the enumerated person, avoiding vague or generic terms. Example: [Below the text is a chart with 2 columns, one called "information" and one called "you should right down".] <div class="i1">Information Office worker You should write down Internal Messenger Hotel Receptionist Bank Teller Executive Secretary Information Driver You should write down Of a truck Of a taxi Of a bus Of a mule Information Mechanic You should write down Of cars Bicycle Assembler Of diesel engines Of sewing machines Of typewriters Information Seller You should write down Of newspapers Of lottery, Chances, etc In clothes department stores, In a pharmacy Information Doctor You should write down Psychiatrist Children's Dental Surgeon Dermatologist Pediatrician Information Construction Worker You should write down Mason Helper Mosaiquero [construction worker specialized in setting up tile] Shoveller Information Secretary You should write down Accountant Executive Information Cutter (Machetero) You should write down Gardener: in family house, parks, etc. In the street: cleaner of patches of land In their country: farmer</div> </svar> Panama 2000: Persons age 10+ who are employed [discrepancies: none] This variable indicates the recoded occupation. 01 Members of the executive and legislative branch of government 02 Professionals, scientists, and others 03 Mid-level technicians and professionals 04 Office workers 05 Service and sales workers 06 Agricultural, livestock, and fisheries workers, and hunters 07 Artesans and mine workers 08 Fixed-installation machinists 09 Street vendors, workers not previously classified 10 Workers for the armed services, occupation not identificed 11 Has never worked 99 NIU (not in universe) Work: Occupation Variables -- PERSON Economic activity, 3 digits For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A436 PA00A437 PA00A452" a="all">20. What does this business, establishment, company or institution, where you work or worked, do? <div class="i1">________ (specify the principal activity of the company) _ _ _ _</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A436 PA00A437 PA00A452" a="all">Question No. 20: What does this business, establishment, company or institution, where you work or worked, do? It is that which the establishment, factory, farm or workshop does where the person works For a person who works, you should ask, what is done at this business, establishment, company or institution where you work? However if a person does not work, you should ask, what is done at this business, establishment, company or institution where you work or worked? Write with the best precision the class of activity that was done at the business, establishment or company whose name was written down in question 19. If a person works or worked in any governmental institution, write down Administration and Public Services. [p. 94] Examples: [On this page is a chart with two columns, one marked "Question 19" and the other "Question 20". Question 19 is a list of names of companies and Question 20 is a list of their respective economic activities.] <div class="i1">López optics Eye examinations and sale of glasses Department store La Oferta Sale of clothes for women, men or children Grocery store 3 Brothers Sale of retail provisions Ortega's Blacksmith Factory of iron and others General Comptroller of the Republic Administration and Public Services Restaurant Asturias Sale of food and drink (restaurant) Martín Feuillet School Primary Education Pedro Pablo Sánchez Secondary School Secondary Education Manual María Tejada Roca Hospital Medical Services In a family house Domestic Duties In their farm Growing of rice Marduro Importing Importing and exporting of audio and video appliances Vargas Garage Repair of automobiles Commission of the Canal Transportation though aquatic waterways In the sea Fishing for seafood In the street Collective transportation (bus) In the street Selective transportation (taxi) Ramos Construction S. A. Construction of dwellings In their house Production of dresses (dress maker) First Security Agency Sale of Insurance Beauty Salon of María Gabriela Hair care service and beauty treatments Buendía Factory Clothes factory U.S. Army Defense Services in the Defense of the Canal Area Discothèque Energy Entertainment Activities National Bank of Panama Banking Services</div> </svar> Panama 2000: Persons age 10+ who have worked before [discrepancies: none] This variable indicates the 3-digit industry of the respondent. 011 Growing of crops; market gardening; horticulture 012 Farming of animals 013 Growing of crops combined with farming of animals (mixed farming) 014 Agricultural and animal husbandry service activities, except veterinary activities 020 Forestry, logging and related service activities 050 Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing 141 Quarrying of stone, sand and clay 142 Mining and quarrying n.e.c. 151 Production, processing and preservation of meat, fish, fruit, vegetables, oils and fats 152 Manufacture of dairy products 153 Manufacture of grain mill products, starches and starch products, and prepared animal feeds 154 Manufacture of other food products 155 Manufacture of beverages 160 Manufacture of tobacco products 171 Spinning, weaving and finishing of textiles 172 Manufacture of other textiles 173 Manufacture of knitted and crocheted fabrics and articles 181 Manufacture of wearing apparel, except fur apparel 191 Tanning and dressing of leather; manufacture of luggage, handbags, saddlery and harness 192 Manufacture of footwear 201 Sawmilling and planing of wood 202 Manufacture of products of wood, cork, straw and plaiting materials 210 Manufacture of paper and paper products 221 Publishing 222 Printing and service activities related to printing 232 Manufacture of refined petroleum products 241 Manufacture of basic chemicals 242 Manufacture of other chemical products 252 Manufacture of plastic products, plastic and thermal containers, boxes, bottles, bags 261 Manufacture of glass and glass products 269 Manufacture of non-metallic mineral products n.e.c. 271 Manufacture of basic iron and steel 281 Manufacture of structural metal products, tanks, reservoirs and steam generators 289 Manufacture of other fabricated metal products; metal working service activities 291 Manufacture of general purpose machinery 315 Manufacture of electric lamps and lighting equipment 323 Manufacture of television and radio receivers, sound or video recording or reproducing apparatus, and associated goods 332 Manufacture of optical instruments and photographic equipment 351 Building and repairing of ships and boats 361 Manufacture of furniture 369 Manufacturing n.e.c. 371 Recycling of metal waste and scrap 372 Recycling of non-metal waste and scrap 401 Production, collection and distribution of electricity 410 Collection, purification and distribution of water 451 Site preparation 452 Building of complete constructions or parts thereof; civil engineering 453 Building installation 454 Building completion 511 Wholesale commerce in exchange for payment or under contract 512 Wholesale commerce of foods, beverages, and tobacco 513 Wholesale commerce of other personal goods and diverse consumer goods 514 Wholesale commerce of other intermediate products, wastes and discarded materials, sale of plastics 515 Wholesale commerce of machinery, equipment and materials 516 Sale of motorcycles and their parts, pieces and accessories 519 Wholesale commerce of other products 521 Retail commerce of other products in non-specialized stores 522 Retail commerce of foods, beverages and tobacco in specialized stores 523 Other types of retail commerce in specialized stores, galleries 524 Retail commerce in stores that sell used goods not listed elsewhere (scrap metals) 525 Other types of retail commerce not carried out in stores 526 Repair of personal goods and household items 527 Retail sale of fuel for automobiles 531 Wholesale commerce in exchange for payment or under contract, in Tax-free Zones 532 Wholesale commerce of foods, beverages, and tobacco in Tax-free Zones 533 Wholesale commerce of other personal goods and diverse consumer products in Tax-free Zones 534 Wholesale commerce of other intermediate products, waste and discarded materials, carried out in Tax-free Zones 536 Sale of motorcycles and their parts, pieces and accessories, carried out in Tax-free Zones 539 Wholesale commerce of other products, carried out in Tax-free Zones 551 Hotels; camping sites and other provision of short-stay accommodation 552 Restaurants, bars and canteens 553 Undocumented 601 Transport via railways 602 Other land transport 603 Transport via pipelines 611 Sea and coastal water transport 612 Inland water transport 613 Other complementary activities for aquatic transportation 621 Scheduled air transport 623 Other supporting air transport activities 630 Supporting and auxiliary transport activities; activities of travel agencies 641 Post and courier activities 642 Telecommunications 651 Monetary intermediation 659 Other financial intermediation 660 Insurance and pension funding, except compulsory social security 671 Activities auxiliary to financial intermediation, except insurance and pension funding 701 Real estate activities with own or leased property 711 Renting of transport equipment 712 Renting of other machinery and equipment 713 Renting of personal and household goods n.e.c. 721 Hardware consultancy 722 Software consultancy and supply 723 Data processing 725 Maintenance and repair of office, accounting and computing machinery 731 Research and experimental development on natural sciences and engineering (NSE) 741 Legal, accounting, book-keeping and auditing activities; tax consultancy; market research and public opinion polling; business and management consultancy 742 Architectural, engineering and other technical activities 743 Advertising 749 Business activities n.e.c. 751 Administration of the State and the economic and social policy of the community 752 Provision of services to the community as a whole 753 Compulsory social security activities 801 Primary education 802 Secondary education 803 Higher education 809 Adult and other education 851 Human health activities 852 Veterinary activities 853 Social work activities 900 Sewage and refuse disposal, sanitation and similar activities 911 Activities of business, employers and professional organizations 912 Activities of trade unions 919 Activities of other membership organizations 921 Motion picture, radio, television and other entertainment activities 923 Library, archives, museums and other cultural activities 924 Sporting and other recreational activities 930 Other service activities 950 Private households with employed persons 980 Extraterritorial organizations and bodies 985 Response supressed 990 Activities not well specified 999 NIU (not in universe) Work: Industry Variables -- PERSON Activity recoded For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A436 PA00A437 PA00A452" a="all">20. What does this business, establishment, company or institution, where you work or worked, do? <div class="i1">________ (specify the principal activity of the company) _ _ _ _</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A436 PA00A437 PA00A452" a="all">Question No. 20: What does this business, establishment, company or institution, where you work or worked, do? It is that which the establishment, factory, farm or workshop does where the person works For a person who works, you should ask, what is done at this business, establishment, company or institution where you work? However if a person does not work, you should ask, what is done at this business, establishment, company or institution where you work or worked? Write with the best precision the class of activity that was done at the business, establishment or company whose name was written down in question 19. If a person works or worked in any governmental institution, write down Administration and Public Services. [p. 94] Examples: [On this page is a chart with two columns, one marked "Question 19" and the other "Question 20". Question 19 is a list of names of companies and Question 20 is a list of their respective economic activities.] <div class="i1">López optics Eye examinations and sale of glasses Department store La Oferta Sale of clothes for women, men or children Grocery store 3 Brothers Sale of retail provisions Ortega's Blacksmith Factory of iron and others General Comptroller of the Republic Administration and Public Services Restaurant Asturias Sale of food and drink (restaurant) Martín Feuillet School Primary Education Pedro Pablo Sánchez Secondary School Secondary Education Manual María Tejada Roca Hospital Medical Services In a family house Domestic Duties In their farm Growing of rice Marduro Importing Importing and exporting of audio and video appliances Vargas Garage Repair of automobiles Commission of the Canal Transportation though aquatic waterways In the sea Fishing for seafood In the street Collective transportation (bus) In the street Selective transportation (taxi) Ramos Construction S. A. Construction of dwellings In their house Production of dresses (dress maker) First Security Agency Sale of Insurance Beauty Salon of María Gabriela Hair care service and beauty treatments Buendía Factory Clothes factory U.S. Army Defense Services in the Defense of the Canal Area Discothèque Energy Entertainment Activities National Bank of Panama Banking Services</div> </svar> Panama 2000: Persons age 10+ who have worked before [discrepancies: none] This variable indicates the recoded industry the person works for. 01 Agriculture, stockbreeding, hunting, forestry 02 Fisheries 03 Mining and quarrying 04 Manufacturing industries 05 Electricity, gas, and water 06 Construction 07 Wholesale and retail trade 08 Hotels/restaurants 09 Land and pipe transportation 10 Financial intermediation 11 Real estate activities and rental business 12 Public administration, national defense, and compulsory insurance programs 13 Education 14 Social and health services 15 Other communal, social, and personal service activities 16 Private homes with domestic service 17 Extraterritorial entities and organizations 18 Activities not well specified 99 NIU (not in universe) Work: Industry Variables -- PERSON Wage or salary For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">23. What was your income last month from: <div class="i1">(For everyone 10 years of age and older) a. Wage or crude salary? _ _ _ _ b. Income from independent or own-account work? _ _ _ _ c. Sales of agricultural and livestock produce? _ _ _ _ d. Retirement or pension? _ _ _ _ e. Scholarships or family assistance? _ _ _ _ f. Rental income, investments or subsidies? _ _ _ _ g. Other income? _ _ _ _ 23a. Income:</div> <div class="i2">[] 1 Yes, has [] 2 No, doesn't have [] 3 Undeclared</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">Question 23: Was your income last month from: The income refers to the retribution be it monetary or in kind, received by all persons 10 years old or older, active or non-active, during the month of April. [To the left of the text is a picture of paper currency.] Read every one of the concepts and categories and wait for the person to supply you the response. Remember that a person can get income in one or many categories from a to g. If the response is that no income was obtained, draw a line in the corresponding spaces and mark circle 2 in question 23 a. Note: If a person declares to have obtained more than one income but does not say the amount in any of them, write down in the corresponding line 9999. Below is detailed what should be included in each alternative of the question. [p. 102] a. Gross wage or salary: refers to the gross wage, salary or commission obtained in the occupation that the person did last month, without deductions of Social Security, Income Tax, Education Insurance, or whatever other deduction from loans from a bank or other credit institution. Put a zero in front when the amount is less than 1,000. When the amount is more than 10,000, write down 9998. When a person earns a fixed salary and commission, add the two amounts and write down the result in the corresponding space. For persons who only receive commission for their job, write down how much they made in this job. For employees who receive a weekly salary, multiply the gross income by 4.33. For employees in the agricultural and livestock sector add the gross salary earned every day and write down the monthly total. All persons who marked any of the circles 01-05 in question 21 (Do you work or did you work as:): Government employee, Private Company Employee, Employee of the Canal Commission or Defense Sites, Employee of a Non-Profit Institution, Domestic servant, should have a response for this question. [p. 103] Example: When enumerating a dwelling, it is found that one of its members worked as an agricultural worker on the farm Las Malvinas, for ten (10) days. The payment received was B/.6.00 for 6 days and B/4.00 the rest of the work days. [Below the text is a form.] If you observe while enumerating some doubt at the moment of declaring the information to you, proceed with much tact, to ask for a pay stub corresponding to last month. If the pay stub corresponds to a week, multiply the gross total by 4.33 and if it is of every other week, multiply the gross total by 2. [p. 104] b. Income by independent work or by their own account: refers to net income, that is to say, income without spending in the activity that a person did. Example: When enumerating the owner of a grocery store, he says that he obtained a net gain by the sale of provisions, approximately B/25.00 daily. It does not close any day of the month. [Below the text is a form.] c. Agricultural or Livestock Sales: is the net income that the person has obtained by the sale of agricultural or livestock products. [To the left of the text is a picture of a cow.] [p.105] Example: Señor Mariano Ramos is a farmer, last month he sold 2 hundred pounds of rice and received for each one B/20.00, 5 hundred pounds of unpeeled rice at B/12.00 each one. Also he sold 3 chickens at B/5.00 e/o. [To the right of the text is a picture of a plate of food.] [Below the text is a form.] d. Retirement payments or pension: refers to the income that the person receives from a retirement system or pension, or the payment recognized by a social security system because of inability to manage an occupation, it concerns what the retirees or pensioned are paid, include here pensions for the death of spouses, paid by Social Security. In the case of a person who in spite of being retired, declares to be currently working, you should also have information in section a. (salary). [To the right of the text is a picture of a bag of money.] [p. 106] e. Grants of Family aid: is the income that a person receives for the payment of studies. It includes all subsidy provided by any type of institution (public or private) and the loans for studies that these institutions and other banking and financial institutions award. [To the right of the text is a picture of books.] Family aid: is the contribution that a person receives provided from family members (who lives outside of the home), or other persons, such as public or private institutions. These can be in money or in kind, example of this type of income is: milk or other food that children in schools or children's centers receive, food and goods donations by social aide or state programs; money, clothes, food or any other goods that can be received by parents or relatives who do not reside in the interviewed dwelling, etc. The number to write down should be the final result of all the contributions that the person would be able to receive in this heading. [To the left of the text is a picture of paper currency.] Included in family aid is food pension that refers to the income that a spouse receives because of being separated such as food for children that they have in common. This payment generally is legally fixed, but other times is established by mutual agreement of the spouses; nonetheless. The enumerator should give attention to both situations so as not to lose this type of income in those cases in which the separation or the food of the children has not yet become legal. Also a de jure food pension can exist. When the children are less than 10 years old, assign the income to the mother. [p. 107] f. Rents, Investments or subsidies: refers to money received by the rent of dwellings, land or any other property that a person owns. It also includes dividends, interest, or benefits provided from the possession of stocks, bonds, and savings and investment accounts. [To the right of the text is a picture of a man with money in his hands.] g. Other income: refers to any other type of income that the interviewed person could have had last month provided from other sources that have not been mentioned before; include games of chance (lottery, card games), thirteenth month, others. 23 a. Income: If one has it (Circle 1): Mark the circle if information in some of section g exists. If one does not have it (Circle 2): Mark this circle if the interviewed person had no income in the reference month. [To the right of the text is a picture of money with a circle around it and a line through it.] Not declared (Circle 3): Mark this circle in the case that, after explaining to them in confidence about this information, in a subtle or indirect manner, the person refuses to offer the information. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates the wage or salary the person obtained last month. PA00A438 is a 5-digit numeric variable. Codes9998 = Unknown 9999 = NIU (not in universe) Top codes:9997 = 9,997+ Income Variables -- PERSON Independent income For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">23. What was your income last month from: <div class="i1">(For everyone 10 years of age and older) a. Wage or crude salary? _ _ _ _ b. Income from independent or own-account work? _ _ _ _ c. Sales of agricultural and livestock produce? _ _ _ _ d. Retirement or pension? _ _ _ _ e. Scholarships or family assistance? _ _ _ _ f. Rental income, investments or subsidies? _ _ _ _ g. Other income? _ _ _ _ 23a. Income:</div> <div class="i2">[] 1 Yes, has [] 2 No, doesn't have [] 3 Undeclared</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">Question 23: Was your income last month from: The income refers to the retribution be it monetary or in kind, received by all persons 10 years old or older, active or non-active, during the month of April. [To the left of the text is a picture of paper currency.] Read every one of the concepts and categories and wait for the person to supply you the response. Remember that a person can get income in one or many categories from a to g. If the response is that no income was obtained, draw a line in the corresponding spaces and mark circle 2 in question 23 a. Note: If a person declares to have obtained more than one income but does not say the amount in any of them, write down in the corresponding line 9999. Below is detailed what should be included in each alternative of the question. [p. 102] a. Gross wage or salary: refers to the gross wage, salary or commission obtained in the occupation that the person did last month, without deductions of Social Security, Income Tax, Education Insurance, or whatever other deduction from loans from a bank or other credit institution. Put a zero in front when the amount is less than 1,000. When the amount is more than 10,000, write down 9998. When a person earns a fixed salary and commission, add the two amounts and write down the result in the corresponding space. For persons who only receive commission for their job, write down how much they made in this job. For employees who receive a weekly salary, multiply the gross income by 4.33. For employees in the agricultural and livestock sector add the gross salary earned every day and write down the monthly total. All persons who marked any of the circles 01-05 in question 21 (Do you work or did you work as:): Government employee, Private Company Employee, Employee of the Canal Commission or Defense Sites, Employee of a Non-Profit Institution, Domestic servant, should have a response for this question. [p. 103] Example: When enumerating a dwelling, it is found that one of its members worked as an agricultural worker on the farm Las Malvinas, for ten (10) days. The payment received was B/.6.00 for 6 days and B/4.00 the rest of the work days. [Below the text is a form.] If you observe while enumerating some doubt at the moment of declaring the information to you, proceed with much tact, to ask for a pay stub corresponding to last month. If the pay stub corresponds to a week, multiply the gross total by 4.33 and if it is of every other week, multiply the gross total by 2. [p. 104] b. Income by independent work or by their own account: refers to net income, that is to say, income without spending in the activity that a person did. Example: When enumerating the owner of a grocery store, he says that he obtained a net gain by the sale of provisions, approximately B/25.00 daily. It does not close any day of the month. [Below the text is a form.] c. Agricultural or Livestock Sales: is the net income that the person has obtained by the sale of agricultural or livestock products. [To the left of the text is a picture of a cow.] [p.105] Example: Señor Mariano Ramos is a farmer, last month he sold 2 hundred pounds of rice and received for each one B/20.00, 5 hundred pounds of unpeeled rice at B/12.00 each one. Also he sold 3 chickens at B/5.00 e/o. [To the right of the text is a picture of a plate of food.] [Below the text is a form.] d. Retirement payments or pension: refers to the income that the person receives from a retirement system or pension, or the payment recognized by a social security system because of inability to manage an occupation, it concerns what the retirees or pensioned are paid, include here pensions for the death of spouses, paid by Social Security. In the case of a person who in spite of being retired, declares to be currently working, you should also have information in section a. (salary). [To the right of the text is a picture of a bag of money.] [p. 106] e. Grants of Family aid: is the income that a person receives for the payment of studies. It includes all subsidy provided by any type of institution (public or private) and the loans for studies that these institutions and other banking and financial institutions award. [To the right of the text is a picture of books.] Family aid: is the contribution that a person receives provided from family members (who lives outside of the home), or other persons, such as public or private institutions. These can be in money or in kind, example of this type of income is: milk or other food that children in schools or children's centers receive, food and goods donations by social aide or state programs; money, clothes, food or any other goods that can be received by parents or relatives who do not reside in the interviewed dwelling, etc. The number to write down should be the final result of all the contributions that the person would be able to receive in this heading. [To the left of the text is a picture of paper currency.] Included in family aid is food pension that refers to the income that a spouse receives because of being separated such as food for children that they have in common. This payment generally is legally fixed, but other times is established by mutual agreement of the spouses; nonetheless. The enumerator should give attention to both situations so as not to lose this type of income in those cases in which the separation or the food of the children has not yet become legal. Also a de jure food pension can exist. When the children are less than 10 years old, assign the income to the mother. [p. 107] f. Rents, Investments or subsidies: refers to money received by the rent of dwellings, land or any other property that a person owns. It also includes dividends, interest, or benefits provided from the possession of stocks, bonds, and savings and investment accounts. [To the right of the text is a picture of a man with money in his hands.] g. Other income: refers to any other type of income that the interviewed person could have had last month provided from other sources that have not been mentioned before; include games of chance (lottery, card games), thirteenth month, others. 23 a. Income: If one has it (Circle 1): Mark the circle if information in some of section g exists. If one does not have it (Circle 2): Mark this circle if the interviewed person had no income in the reference month. [To the right of the text is a picture of money with a circle around it and a line through it.] Not declared (Circle 3): Mark this circle in the case that, after explaining to them in confidence about this information, in a subtle or indirect manner, the person refuses to offer the information. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates the person's income from independent or own-account work. PA00A439 is a 5-digit numeric variable. Codes9998 = Unknown 9999 = NIU (not in universe) Top codes:9997 = 9,997+ Income Variables -- PERSON Sale of agricultural goods or livestock For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">23. What was your income last month from: <div class="i1">(For everyone 10 years of age and older) a. Wage or crude salary? _ _ _ _ b. Income from independent or own-account work? _ _ _ _ c. Sales of agricultural and livestock produce? _ _ _ _ d. Retirement or pension? _ _ _ _ e. Scholarships or family assistance? _ _ _ _ f. Rental income, investments or subsidies? _ _ _ _ g. Other income? _ _ _ _ 23a. Income:</div> <div class="i2">[] 1 Yes, has [] 2 No, doesn't have [] 3 Undeclared</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">Question 23: Was your income last month from: The income refers to the retribution be it monetary or in kind, received by all persons 10 years old or older, active or non-active, during the month of April. [To the left of the text is a picture of paper currency.] Read every one of the concepts and categories and wait for the person to supply you the response. Remember that a person can get income in one or many categories from a to g. If the response is that no income was obtained, draw a line in the corresponding spaces and mark circle 2 in question 23 a. Note: If a person declares to have obtained more than one income but does not say the amount in any of them, write down in the corresponding line 9999. Below is detailed what should be included in each alternative of the question. [p. 102] a. Gross wage or salary: refers to the gross wage, salary or commission obtained in the occupation that the person did last month, without deductions of Social Security, Income Tax, Education Insurance, or whatever other deduction from loans from a bank or other credit institution. Put a zero in front when the amount is less than 1,000. When the amount is more than 10,000, write down 9998. When a person earns a fixed salary and commission, add the two amounts and write down the result in the corresponding space. For persons who only receive commission for their job, write down how much they made in this job. For employees who receive a weekly salary, multiply the gross income by 4.33. For employees in the agricultural and livestock sector add the gross salary earned every day and write down the monthly total. All persons who marked any of the circles 01-05 in question 21 (Do you work or did you work as:): Government employee, Private Company Employee, Employee of the Canal Commission or Defense Sites, Employee of a Non-Profit Institution, Domestic servant, should have a response for this question. [p. 103] Example: When enumerating a dwelling, it is found that one of its members worked as an agricultural worker on the farm Las Malvinas, for ten (10) days. The payment received was B/.6.00 for 6 days and B/4.00 the rest of the work days. [Below the text is a form.] If you observe while enumerating some doubt at the moment of declaring the information to you, proceed with much tact, to ask for a pay stub corresponding to last month. If the pay stub corresponds to a week, multiply the gross total by 4.33 and if it is of every other week, multiply the gross total by 2. [p. 104] b. Income by independent work or by their own account: refers to net income, that is to say, income without spending in the activity that a person did. Example: When enumerating the owner of a grocery store, he says that he obtained a net gain by the sale of provisions, approximately B/25.00 daily. It does not close any day of the month. [Below the text is a form.] c. Agricultural or Livestock Sales: is the net income that the person has obtained by the sale of agricultural or livestock products. [To the left of the text is a picture of a cow.] [p.105] Example: Señor Mariano Ramos is a farmer, last month he sold 2 hundred pounds of rice and received for each one B/20.00, 5 hundred pounds of unpeeled rice at B/12.00 each one. Also he sold 3 chickens at B/5.00 e/o. [To the right of the text is a picture of a plate of food.] [Below the text is a form.] d. Retirement payments or pension: refers to the income that the person receives from a retirement system or pension, or the payment recognized by a social security system because of inability to manage an occupation, it concerns what the retirees or pensioned are paid, include here pensions for the death of spouses, paid by Social Security. In the case of a person who in spite of being retired, declares to be currently working, you should also have information in section a. (salary). [To the right of the text is a picture of a bag of money.] [p. 106] e. Grants of Family aid: is the income that a person receives for the payment of studies. It includes all subsidy provided by any type of institution (public or private) and the loans for studies that these institutions and other banking and financial institutions award. [To the right of the text is a picture of books.] Family aid: is the contribution that a person receives provided from family members (who lives outside of the home), or other persons, such as public or private institutions. These can be in money or in kind, example of this type of income is: milk or other food that children in schools or children's centers receive, food and goods donations by social aide or state programs; money, clothes, food or any other goods that can be received by parents or relatives who do not reside in the interviewed dwelling, etc. The number to write down should be the final result of all the contributions that the person would be able to receive in this heading. [To the left of the text is a picture of paper currency.] Included in family aid is food pension that refers to the income that a spouse receives because of being separated such as food for children that they have in common. This payment generally is legally fixed, but other times is established by mutual agreement of the spouses; nonetheless. The enumerator should give attention to both situations so as not to lose this type of income in those cases in which the separation or the food of the children has not yet become legal. Also a de jure food pension can exist. When the children are less than 10 years old, assign the income to the mother. [p. 107] f. Rents, Investments or subsidies: refers to money received by the rent of dwellings, land or any other property that a person owns. It also includes dividends, interest, or benefits provided from the possession of stocks, bonds, and savings and investment accounts. [To the right of the text is a picture of a man with money in his hands.] g. Other income: refers to any other type of income that the interviewed person could have had last month provided from other sources that have not been mentioned before; include games of chance (lottery, card games), thirteenth month, others. 23 a. Income: If one has it (Circle 1): Mark the circle if information in some of section g exists. If one does not have it (Circle 2): Mark this circle if the interviewed person had no income in the reference month. [To the right of the text is a picture of money with a circle around it and a line through it.] Not declared (Circle 3): Mark this circle in the case that, after explaining to them in confidence about this information, in a subtle or indirect manner, the person refuses to offer the information. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates the income last month from sale of agricultural goods or livestock. PA00A440 is a 5-digit numeric variable. Codes998 = Unknown 999 = NIU (not in universe) Top codes:500 = 500+ Income Variables -- PERSON Retirement or pension For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">23. What was your income last month from: <div class="i1">(For everyone 10 years of age and older) a. Wage or crude salary? _ _ _ _ b. Income from independent or own-account work? _ _ _ _ c. Sales of agricultural and livestock produce? _ _ _ _ d. Retirement or pension? _ _ _ _ e. Scholarships or family assistance? _ _ _ _ f. Rental income, investments or subsidies? _ _ _ _ g. Other income? _ _ _ _ 23a. Income:</div> <div class="i2">[] 1 Yes, has [] 2 No, doesn't have [] 3 Undeclared</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">Question 23: Was your income last month from: The income refers to the retribution be it monetary or in kind, received by all persons 10 years old or older, active or non-active, during the month of April. [To the left of the text is a picture of paper currency.] Read every one of the concepts and categories and wait for the person to supply you the response. Remember that a person can get income in one or many categories from a to g. If the response is that no income was obtained, draw a line in the corresponding spaces and mark circle 2 in question 23 a. Note: If a person declares to have obtained more than one income but does not say the amount in any of them, write down in the corresponding line 9999. Below is detailed what should be included in each alternative of the question. [p. 102] a. Gross wage or salary: refers to the gross wage, salary or commission obtained in the occupation that the person did last month, without deductions of Social Security, Income Tax, Education Insurance, or whatever other deduction from loans from a bank or other credit institution. Put a zero in front when the amount is less than 1,000. When the amount is more than 10,000, write down 9998. When a person earns a fixed salary and commission, add the two amounts and write down the result in the corresponding space. For persons who only receive commission for their job, write down how much they made in this job. For employees who receive a weekly salary, multiply the gross income by 4.33. For employees in the agricultural and livestock sector add the gross salary earned every day and write down the monthly total. All persons who marked any of the circles 01-05 in question 21 (Do you work or did you work as:): Government employee, Private Company Employee, Employee of the Canal Commission or Defense Sites, Employee of a Non-Profit Institution, Domestic servant, should have a response for this question. [p. 103] Example: When enumerating a dwelling, it is found that one of its members worked as an agricultural worker on the farm Las Malvinas, for ten (10) days. The payment received was B/.6.00 for 6 days and B/4.00 the rest of the work days. [Below the text is a form.] If you observe while enumerating some doubt at the moment of declaring the information to you, proceed with much tact, to ask for a pay stub corresponding to last month. If the pay stub corresponds to a week, multiply the gross total by 4.33 and if it is of every other week, multiply the gross total by 2. [p. 104] b. Income by independent work or by their own account: refers to net income, that is to say, income without spending in the activity that a person did. Example: When enumerating the owner of a grocery store, he says that he obtained a net gain by the sale of provisions, approximately B/25.00 daily. It does not close any day of the month. [Below the text is a form.] c. Agricultural or Livestock Sales: is the net income that the person has obtained by the sale of agricultural or livestock products. [To the left of the text is a picture of a cow.] [p.105] Example: Señor Mariano Ramos is a farmer, last month he sold 2 hundred pounds of rice and received for each one B/20.00, 5 hundred pounds of unpeeled rice at B/12.00 each one. Also he sold 3 chickens at B/5.00 e/o. [To the right of the text is a picture of a plate of food.] [Below the text is a form.] d. Retirement payments or pension: refers to the income that the person receives from a retirement system or pension, or the payment recognized by a social security system because of inability to manage an occupation, it concerns what the retirees or pensioned are paid, include here pensions for the death of spouses, paid by Social Security. In the case of a person who in spite of being retired, declares to be currently working, you should also have information in section a. (salary). [To the right of the text is a picture of a bag of money.] [p. 106] e. Grants of Family aid: is the income that a person receives for the payment of studies. It includes all subsidy provided by any type of institution (public or private) and the loans for studies that these institutions and other banking and financial institutions award. [To the right of the text is a picture of books.] Family aid: is the contribution that a person receives provided from family members (who lives outside of the home), or other persons, such as public or private institutions. These can be in money or in kind, example of this type of income is: milk or other food that children in schools or children's centers receive, food and goods donations by social aide or state programs; money, clothes, food or any other goods that can be received by parents or relatives who do not reside in the interviewed dwelling, etc. The number to write down should be the final result of all the contributions that the person would be able to receive in this heading. [To the left of the text is a picture of paper currency.] Included in family aid is food pension that refers to the income that a spouse receives because of being separated such as food for children that they have in common. This payment generally is legally fixed, but other times is established by mutual agreement of the spouses; nonetheless. The enumerator should give attention to both situations so as not to lose this type of income in those cases in which the separation or the food of the children has not yet become legal. Also a de jure food pension can exist. When the children are less than 10 years old, assign the income to the mother. [p. 107] f. Rents, Investments or subsidies: refers to money received by the rent of dwellings, land or any other property that a person owns. It also includes dividends, interest, or benefits provided from the possession of stocks, bonds, and savings and investment accounts. [To the right of the text is a picture of a man with money in his hands.] g. Other income: refers to any other type of income that the interviewed person could have had last month provided from other sources that have not been mentioned before; include games of chance (lottery, card games), thirteenth month, others. 23 a. Income: If one has it (Circle 1): Mark the circle if information in some of section g exists. If one does not have it (Circle 2): Mark this circle if the interviewed person had no income in the reference month. [To the right of the text is a picture of money with a circle around it and a line through it.] Not declared (Circle 3): Mark this circle in the case that, after explaining to them in confidence about this information, in a subtle or indirect manner, the person refuses to offer the information. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates the income last month from retirement or pension. PA00A441 is a 5-digit numeric variable. Codes9998 = Unknown 9999 = NIU (not in universe) Top codes:9997 = 9,997+ Income Variables -- PERSON Scholarships or family assistance For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">23. What was your income last month from: <div class="i1">(For everyone 10 years of age and older) a. Wage or crude salary? _ _ _ _ b. Income from independent or own-account work? _ _ _ _ c. Sales of agricultural and livestock produce? _ _ _ _ d. Retirement or pension? _ _ _ _ e. Scholarships or family assistance? _ _ _ _ f. Rental income, investments or subsidies? _ _ _ _ g. Other income? _ _ _ _ 23a. Income:</div> <div class="i2">[] 1 Yes, has [] 2 No, doesn't have [] 3 Undeclared</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">Question 23: Was your income last month from: The income refers to the retribution be it monetary or in kind, received by all persons 10 years old or older, active or non-active, during the month of April. [To the left of the text is a picture of paper currency.] Read every one of the concepts and categories and wait for the person to supply you the response. Remember that a person can get income in one or many categories from a to g. If the response is that no income was obtained, draw a line in the corresponding spaces and mark circle 2 in question 23 a. Note: If a person declares to have obtained more than one income but does not say the amount in any of them, write down in the corresponding line 9999. Below is detailed what should be included in each alternative of the question. [p. 102] a. Gross wage or salary: refers to the gross wage, salary or commission obtained in the occupation that the person did last month, without deductions of Social Security, Income Tax, Education Insurance, or whatever other deduction from loans from a bank or other credit institution. Put a zero in front when the amount is less than 1,000. When the amount is more than 10,000, write down 9998. When a person earns a fixed salary and commission, add the two amounts and write down the result in the corresponding space. For persons who only receive commission for their job, write down how much they made in this job. For employees who receive a weekly salary, multiply the gross income by 4.33. For employees in the agricultural and livestock sector add the gross salary earned every day and write down the monthly total. All persons who marked any of the circles 01-05 in question 21 (Do you work or did you work as:): Government employee, Private Company Employee, Employee of the Canal Commission or Defense Sites, Employee of a Non-Profit Institution, Domestic servant, should have a response for this question. [p. 103] Example: When enumerating a dwelling, it is found that one of its members worked as an agricultural worker on the farm Las Malvinas, for ten (10) days. The payment received was B/.6.00 for 6 days and B/4.00 the rest of the work days. [Below the text is a form.] If you observe while enumerating some doubt at the moment of declaring the information to you, proceed with much tact, to ask for a pay stub corresponding to last month. If the pay stub corresponds to a week, multiply the gross total by 4.33 and if it is of every other week, multiply the gross total by 2. [p. 104] b. Income by independent work or by their own account: refers to net income, that is to say, income without spending in the activity that a person did. Example: When enumerating the owner of a grocery store, he says that he obtained a net gain by the sale of provisions, approximately B/25.00 daily. It does not close any day of the month. [Below the text is a form.] c. Agricultural or Livestock Sales: is the net income that the person has obtained by the sale of agricultural or livestock products. [To the left of the text is a picture of a cow.] [p.105] Example: Señor Mariano Ramos is a farmer, last month he sold 2 hundred pounds of rice and received for each one B/20.00, 5 hundred pounds of unpeeled rice at B/12.00 each one. Also he sold 3 chickens at B/5.00 e/o. [To the right of the text is a picture of a plate of food.] [Below the text is a form.] d. Retirement payments or pension: refers to the income that the person receives from a retirement system or pension, or the payment recognized by a social security system because of inability to manage an occupation, it concerns what the retirees or pensioned are paid, include here pensions for the death of spouses, paid by Social Security. In the case of a person who in spite of being retired, declares to be currently working, you should also have information in section a. (salary). [To the right of the text is a picture of a bag of money.] [p. 106] e. Grants of Family aid: is the income that a person receives for the payment of studies. It includes all subsidy provided by any type of institution (public or private) and the loans for studies that these institutions and other banking and financial institutions award. [To the right of the text is a picture of books.] Family aid: is the contribution that a person receives provided from family members (who lives outside of the home), or other persons, such as public or private institutions. These can be in money or in kind, example of this type of income is: milk or other food that children in schools or children's centers receive, food and goods donations by social aide or state programs; money, clothes, food or any other goods that can be received by parents or relatives who do not reside in the interviewed dwelling, etc. The number to write down should be the final result of all the contributions that the person would be able to receive in this heading. [To the left of the text is a picture of paper currency.] Included in family aid is food pension that refers to the income that a spouse receives because of being separated such as food for children that they have in common. This payment generally is legally fixed, but other times is established by mutual agreement of the spouses; nonetheless. The enumerator should give attention to both situations so as not to lose this type of income in those cases in which the separation or the food of the children has not yet become legal. Also a de jure food pension can exist. When the children are less than 10 years old, assign the income to the mother. [p. 107] f. Rents, Investments or subsidies: refers to money received by the rent of dwellings, land or any other property that a person owns. It also includes dividends, interest, or benefits provided from the possession of stocks, bonds, and savings and investment accounts. [To the right of the text is a picture of a man with money in his hands.] g. Other income: refers to any other type of income that the interviewed person could have had last month provided from other sources that have not been mentioned before; include games of chance (lottery, card games), thirteenth month, others. 23 a. Income: If one has it (Circle 1): Mark the circle if information in some of section g exists. If one does not have it (Circle 2): Mark this circle if the interviewed person had no income in the reference month. [To the right of the text is a picture of money with a circle around it and a line through it.] Not declared (Circle 3): Mark this circle in the case that, after explaining to them in confidence about this information, in a subtle or indirect manner, the person refuses to offer the information. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates the income last month from scholarships or family assistance. PA00A442 is a 5-digit numeric variable. Codes998 = Unknown 999 = NIU (not in universe) Top codes:600 = 600+ Income Variables -- PERSON Rents, investment income or subsidies For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">23. What was your income last month from: <div class="i1">(For everyone 10 years of age and older) a. Wage or crude salary? _ _ _ _ b. Income from independent or own-account work? _ _ _ _ c. Sales of agricultural and livestock produce? _ _ _ _ d. Retirement or pension? _ _ _ _ e. Scholarships or family assistance? _ _ _ _ f. Rental income, investments or subsidies? _ _ _ _ g. Other income? _ _ _ _ 23a. Income:</div> <div class="i2">[] 1 Yes, has [] 2 No, doesn't have [] 3 Undeclared</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">Question 23: Was your income last month from: The income refers to the retribution be it monetary or in kind, received by all persons 10 years old or older, active or non-active, during the month of April. [To the left of the text is a picture of paper currency.] Read every one of the concepts and categories and wait for the person to supply you the response. Remember that a person can get income in one or many categories from a to g. If the response is that no income was obtained, draw a line in the corresponding spaces and mark circle 2 in question 23 a. Note: If a person declares to have obtained more than one income but does not say the amount in any of them, write down in the corresponding line 9999. Below is detailed what should be included in each alternative of the question. [p. 102] a. Gross wage or salary: refers to the gross wage, salary or commission obtained in the occupation that the person did last month, without deductions of Social Security, Income Tax, Education Insurance, or whatever other deduction from loans from a bank or other credit institution. Put a zero in front when the amount is less than 1,000. When the amount is more than 10,000, write down 9998. When a person earns a fixed salary and commission, add the two amounts and write down the result in the corresponding space. For persons who only receive commission for their job, write down how much they made in this job. For employees who receive a weekly salary, multiply the gross income by 4.33. For employees in the agricultural and livestock sector add the gross salary earned every day and write down the monthly total. All persons who marked any of the circles 01-05 in question 21 (Do you work or did you work as:): Government employee, Private Company Employee, Employee of the Canal Commission or Defense Sites, Employee of a Non-Profit Institution, Domestic servant, should have a response for this question. [p. 103] Example: When enumerating a dwelling, it is found that one of its members worked as an agricultural worker on the farm Las Malvinas, for ten (10) days. The payment received was B/.6.00 for 6 days and B/4.00 the rest of the work days. [Below the text is a form.] If you observe while enumerating some doubt at the moment of declaring the information to you, proceed with much tact, to ask for a pay stub corresponding to last month. If the pay stub corresponds to a week, multiply the gross total by 4.33 and if it is of every other week, multiply the gross total by 2. [p. 104] b. Income by independent work or by their own account: refers to net income, that is to say, income without spending in the activity that a person did. Example: When enumerating the owner of a grocery store, he says that he obtained a net gain by the sale of provisions, approximately B/25.00 daily. It does not close any day of the month. [Below the text is a form.] c. Agricultural or Livestock Sales: is the net income that the person has obtained by the sale of agricultural or livestock products. [To the left of the text is a picture of a cow.] [p.105] Example: Señor Mariano Ramos is a farmer, last month he sold 2 hundred pounds of rice and received for each one B/20.00, 5 hundred pounds of unpeeled rice at B/12.00 each one. Also he sold 3 chickens at B/5.00 e/o. [To the right of the text is a picture of a plate of food.] [Below the text is a form.] d. Retirement payments or pension: refers to the income that the person receives from a retirement system or pension, or the payment recognized by a social security system because of inability to manage an occupation, it concerns what the retirees or pensioned are paid, include here pensions for the death of spouses, paid by Social Security. In the case of a person who in spite of being retired, declares to be currently working, you should also have information in section a. (salary). [To the right of the text is a picture of a bag of money.] [p. 106] e. Grants of Family aid: is the income that a person receives for the payment of studies. It includes all subsidy provided by any type of institution (public or private) and the loans for studies that these institutions and other banking and financial institutions award. [To the right of the text is a picture of books.] Family aid: is the contribution that a person receives provided from family members (who lives outside of the home), or other persons, such as public or private institutions. These can be in money or in kind, example of this type of income is: milk or other food that children in schools or children's centers receive, food and goods donations by social aide or state programs; money, clothes, food or any other goods that can be received by parents or relatives who do not reside in the interviewed dwelling, etc. The number to write down should be the final result of all the contributions that the person would be able to receive in this heading. [To the left of the text is a picture of paper currency.] Included in family aid is food pension that refers to the income that a spouse receives because of being separated such as food for children that they have in common. This payment generally is legally fixed, but other times is established by mutual agreement of the spouses; nonetheless. The enumerator should give attention to both situations so as not to lose this type of income in those cases in which the separation or the food of the children has not yet become legal. Also a de jure food pension can exist. When the children are less than 10 years old, assign the income to the mother. [p. 107] f. Rents, Investments or subsidies: refers to money received by the rent of dwellings, land or any other property that a person owns. It also includes dividends, interest, or benefits provided from the possession of stocks, bonds, and savings and investment accounts. [To the right of the text is a picture of a man with money in his hands.] g. Other income: refers to any other type of income that the interviewed person could have had last month provided from other sources that have not been mentioned before; include games of chance (lottery, card games), thirteenth month, others. 23 a. Income: If one has it (Circle 1): Mark the circle if information in some of section g exists. If one does not have it (Circle 2): Mark this circle if the interviewed person had no income in the reference month. [To the right of the text is a picture of money with a circle around it and a line through it.] Not declared (Circle 3): Mark this circle in the case that, after explaining to them in confidence about this information, in a subtle or indirect manner, the person refuses to offer the information. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates the income last month from rents, investment income or subsidies. PA00A443 is a 5-digit numeric variable. Codes998 = Unknown 999 = NIU (not in universe) Top codes:500 = 500+ Income Variables -- PERSON Other income For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">23. What was your income last month from: <div class="i1">(For everyone 10 years of age and older) a. Wage or crude salary? _ _ _ _ b. Income from independent or own-account work? _ _ _ _ c. Sales of agricultural and livestock produce? _ _ _ _ d. Retirement or pension? _ _ _ _ e. Scholarships or family assistance? _ _ _ _ f. Rental income, investments or subsidies? _ _ _ _ g. Other income? _ _ _ _ 23a. Income:</div> <div class="i2">[] 1 Yes, has [] 2 No, doesn't have [] 3 Undeclared</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">Question 23: Was your income last month from: The income refers to the retribution be it monetary or in kind, received by all persons 10 years old or older, active or non-active, during the month of April. [To the left of the text is a picture of paper currency.] Read every one of the concepts and categories and wait for the person to supply you the response. Remember that a person can get income in one or many categories from a to g. If the response is that no income was obtained, draw a line in the corresponding spaces and mark circle 2 in question 23 a. Note: If a person declares to have obtained more than one income but does not say the amount in any of them, write down in the corresponding line 9999. Below is detailed what should be included in each alternative of the question. [p. 102] a. Gross wage or salary: refers to the gross wage, salary or commission obtained in the occupation that the person did last month, without deductions of Social Security, Income Tax, Education Insurance, or whatever other deduction from loans from a bank or other credit institution. Put a zero in front when the amount is less than 1,000. When the amount is more than 10,000, write down 9998. When a person earns a fixed salary and commission, add the two amounts and write down the result in the corresponding space. For persons who only receive commission for their job, write down how much they made in this job. For employees who receive a weekly salary, multiply the gross income by 4.33. For employees in the agricultural and livestock sector add the gross salary earned every day and write down the monthly total. All persons who marked any of the circles 01-05 in question 21 (Do you work or did you work as:): Government employee, Private Company Employee, Employee of the Canal Commission or Defense Sites, Employee of a Non-Profit Institution, Domestic servant, should have a response for this question. [p. 103] Example: When enumerating a dwelling, it is found that one of its members worked as an agricultural worker on the farm Las Malvinas, for ten (10) days. The payment received was B/.6.00 for 6 days and B/4.00 the rest of the work days. [Below the text is a form.] If you observe while enumerating some doubt at the moment of declaring the information to you, proceed with much tact, to ask for a pay stub corresponding to last month. If the pay stub corresponds to a week, multiply the gross total by 4.33 and if it is of every other week, multiply the gross total by 2. [p. 104] b. Income by independent work or by their own account: refers to net income, that is to say, income without spending in the activity that a person did. Example: When enumerating the owner of a grocery store, he says that he obtained a net gain by the sale of provisions, approximately B/25.00 daily. It does not close any day of the month. [Below the text is a form.] c. Agricultural or Livestock Sales: is the net income that the person has obtained by the sale of agricultural or livestock products. [To the left of the text is a picture of a cow.] [p.105] Example: Señor Mariano Ramos is a farmer, last month he sold 2 hundred pounds of rice and received for each one B/20.00, 5 hundred pounds of unpeeled rice at B/12.00 each one. Also he sold 3 chickens at B/5.00 e/o. [To the right of the text is a picture of a plate of food.] [Below the text is a form.] d. Retirement payments or pension: refers to the income that the person receives from a retirement system or pension, or the payment recognized by a social security system because of inability to manage an occupation, it concerns what the retirees or pensioned are paid, include here pensions for the death of spouses, paid by Social Security. In the case of a person who in spite of being retired, declares to be currently working, you should also have information in section a. (salary). [To the right of the text is a picture of a bag of money.] [p. 106] e. Grants of Family aid: is the income that a person receives for the payment of studies. It includes all subsidy provided by any type of institution (public or private) and the loans for studies that these institutions and other banking and financial institutions award. [To the right of the text is a picture of books.] Family aid: is the contribution that a person receives provided from family members (who lives outside of the home), or other persons, such as public or private institutions. These can be in money or in kind, example of this type of income is: milk or other food that children in schools or children's centers receive, food and goods donations by social aide or state programs; money, clothes, food or any other goods that can be received by parents or relatives who do not reside in the interviewed dwelling, etc. The number to write down should be the final result of all the contributions that the person would be able to receive in this heading. [To the left of the text is a picture of paper currency.] Included in family aid is food pension that refers to the income that a spouse receives because of being separated such as food for children that they have in common. This payment generally is legally fixed, but other times is established by mutual agreement of the spouses; nonetheless. The enumerator should give attention to both situations so as not to lose this type of income in those cases in which the separation or the food of the children has not yet become legal. Also a de jure food pension can exist. When the children are less than 10 years old, assign the income to the mother. [p. 107] f. Rents, Investments or subsidies: refers to money received by the rent of dwellings, land or any other property that a person owns. It also includes dividends, interest, or benefits provided from the possession of stocks, bonds, and savings and investment accounts. [To the right of the text is a picture of a man with money in his hands.] g. Other income: refers to any other type of income that the interviewed person could have had last month provided from other sources that have not been mentioned before; include games of chance (lottery, card games), thirteenth month, others. 23 a. Income: If one has it (Circle 1): Mark the circle if information in some of section g exists. If one does not have it (Circle 2): Mark this circle if the interviewed person had no income in the reference month. [To the right of the text is a picture of money with a circle around it and a line through it.] Not declared (Circle 3): Mark this circle in the case that, after explaining to them in confidence about this information, in a subtle or indirect manner, the person refuses to offer the information. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates the income last month from other sources not mentioned earlier. PA00A444 is a 5-digit numeric variable. Codes9998 = Unknown 9999 = NIU (not in universe) Top codes:9997 = 9,997+ Income Variables -- PERSON Has income For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">23. What was your income last month from: <div class="i1">(For everyone 10 years of age and older) a. Wage or crude salary? _ _ _ _ b. Income from independent or own-account work? _ _ _ _ c. Sales of agricultural and livestock produce? _ _ _ _ d. Retirement or pension? _ _ _ _ e. Scholarships or family assistance? _ _ _ _ f. Rental income, investments or subsidies? _ _ _ _ g. Other income? _ _ _ _ 23a. Income:</div> <div class="i2">[] 1 Yes, has [] 2 No, doesn't have [] 3 Undeclared</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">Question 23: Was your income last month from: The income refers to the retribution be it monetary or in kind, received by all persons 10 years old or older, active or non-active, during the month of April. [To the left of the text is a picture of paper currency.] Read every one of the concepts and categories and wait for the person to supply you the response. Remember that a person can get income in one or many categories from a to g. If the response is that no income was obtained, draw a line in the corresponding spaces and mark circle 2 in question 23 a. Note: If a person declares to have obtained more than one income but does not say the amount in any of them, write down in the corresponding line 9999. Below is detailed what should be included in each alternative of the question. [p. 102] a. Gross wage or salary: refers to the gross wage, salary or commission obtained in the occupation that the person did last month, without deductions of Social Security, Income Tax, Education Insurance, or whatever other deduction from loans from a bank or other credit institution. Put a zero in front when the amount is less than 1,000. When the amount is more than 10,000, write down 9998. When a person earns a fixed salary and commission, add the two amounts and write down the result in the corresponding space. For persons who only receive commission for their job, write down how much they made in this job. For employees who receive a weekly salary, multiply the gross income by 4.33. For employees in the agricultural and livestock sector add the gross salary earned every day and write down the monthly total. All persons who marked any of the circles 01-05 in question 21 (Do you work or did you work as:): Government employee, Private Company Employee, Employee of the Canal Commission or Defense Sites, Employee of a Non-Profit Institution, Domestic servant, should have a response for this question. [p. 103] Example: When enumerating a dwelling, it is found that one of its members worked as an agricultural worker on the farm Las Malvinas, for ten (10) days. The payment received was B/.6.00 for 6 days and B/4.00 the rest of the work days. [Below the text is a form.] If you observe while enumerating some doubt at the moment of declaring the information to you, proceed with much tact, to ask for a pay stub corresponding to last month. If the pay stub corresponds to a week, multiply the gross total by 4.33 and if it is of every other week, multiply the gross total by 2. [p. 104] b. Income by independent work or by their own account: refers to net income, that is to say, income without spending in the activity that a person did. Example: When enumerating the owner of a grocery store, he says that he obtained a net gain by the sale of provisions, approximately B/25.00 daily. It does not close any day of the month. [Below the text is a form.] c. Agricultural or Livestock Sales: is the net income that the person has obtained by the sale of agricultural or livestock products. [To the left of the text is a picture of a cow.] [p.105] Example: Señor Mariano Ramos is a farmer, last month he sold 2 hundred pounds of rice and received for each one B/20.00, 5 hundred pounds of unpeeled rice at B/12.00 each one. Also he sold 3 chickens at B/5.00 e/o. [To the right of the text is a picture of a plate of food.] [Below the text is a form.] d. Retirement payments or pension: refers to the income that the person receives from a retirement system or pension, or the payment recognized by a social security system because of inability to manage an occupation, it concerns what the retirees or pensioned are paid, include here pensions for the death of spouses, paid by Social Security. In the case of a person who in spite of being retired, declares to be currently working, you should also have information in section a. (salary). [To the right of the text is a picture of a bag of money.] [p. 106] e. Grants of Family aid: is the income that a person receives for the payment of studies. It includes all subsidy provided by any type of institution (public or private) and the loans for studies that these institutions and other banking and financial institutions award. [To the right of the text is a picture of books.] Family aid: is the contribution that a person receives provided from family members (who lives outside of the home), or other persons, such as public or private institutions. These can be in money or in kind, example of this type of income is: milk or other food that children in schools or children's centers receive, food and goods donations by social aide or state programs; money, clothes, food or any other goods that can be received by parents or relatives who do not reside in the interviewed dwelling, etc. The number to write down should be the final result of all the contributions that the person would be able to receive in this heading. [To the left of the text is a picture of paper currency.] Included in family aid is food pension that refers to the income that a spouse receives because of being separated such as food for children that they have in common. This payment generally is legally fixed, but other times is established by mutual agreement of the spouses; nonetheless. The enumerator should give attention to both situations so as not to lose this type of income in those cases in which the separation or the food of the children has not yet become legal. Also a de jure food pension can exist. When the children are less than 10 years old, assign the income to the mother. [p. 107] f. Rents, Investments or subsidies: refers to money received by the rent of dwellings, land or any other property that a person owns. It also includes dividends, interest, or benefits provided from the possession of stocks, bonds, and savings and investment accounts. [To the right of the text is a picture of a man with money in his hands.] g. Other income: refers to any other type of income that the interviewed person could have had last month provided from other sources that have not been mentioned before; include games of chance (lottery, card games), thirteenth month, others. 23 a. Income: If one has it (Circle 1): Mark the circle if information in some of section g exists. If one does not have it (Circle 2): Mark this circle if the interviewed person had no income in the reference month. [To the right of the text is a picture of money with a circle around it and a line through it.] Not declared (Circle 3): Mark this circle in the case that, after explaining to them in confidence about this information, in a subtle or indirect manner, the person refuses to offer the information. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates whether the person had income last month. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Income Variables -- PERSON Income of the person For individuals 10 years of age and older <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">[Questions 14-23 were asked of persons aged 10 and older.] </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">23. What was your income last month from: <div class="i1">(For everyone 10 years of age and older) a. Wage or crude salary? _ _ _ _ b. Income from independent or own-account work? _ _ _ _ c. Sales of agricultural and livestock produce? _ _ _ _ d. Retirement or pension? _ _ _ _ e. Scholarships or family assistance? _ _ _ _ f. Rental income, investments or subsidies? _ _ _ _ g. Other income? _ _ _ _ 23a. Income:</div> <div class="i2">[] 1 Yes, has [] 2 No, doesn't have [] 3 Undeclared</div> </svar> <svar v="PA00A426 PA00A427 PA00A428 PA00A429 PA00A430 PA00A431 PA00A432 PA00A433 PA00A434 PA00A435 PA00A436 PA00A437 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A451 PA00A452">The objective of this section is to get information about the participation of the population 10 years old or older in economic activities of the country. The information refers to the week before the Census. This week is defined as the reference week and is understood to be from Sunday to Saturday. It is recommended that each member of the home respond for themselves. If this is not possible, the head or responsible adult could respond for the youngest, but it is preferable to insist that the adult members, especially if they are working, respond for themselves. [p. 86] Principal activity of the person: The responses obtained in questions 14 to 17 are the basis for classifying the population of 10 years old or older in: <div class="i1">1. Economically Active Population: is understood to be the population 10 years old or older who supplies the available work force for the production of economic goods and services in the country, during the reference week. This population is classified as employed or unemployed.</div> <div class="i2">a) Employed population: covers persons 10 years old or older who during the reference week: - Have an occupation or job remunerated in money or in kind. - Have their own business or they work on their own account. - Work regularly in a business or company of a member of their family even when not drawing a wage or salary ([Contributing] family worker). In this case a [contributing] family worker should have as a minimum 15 hours worked to be considered as such. - Persons absent from their job temporarily because of sickness or accident, holidays or vacations, strikes, on leave from school or military service, on maternity leave. - Did not work, but do occasional jobs. b) Unemployed population: This group is understood to be persons 10 years old or older who during the reference week: Do not have an occupation or job and are looking for employment. Looked for work before and waits for news, that is to say, one who has adopted means of looking for remunerated employment or an independent job.</div> <div class="i1">2. Not economically active population: is understood to be retirees or pensioners, students, workers at home or homemakers, rentiers and other conditions.</div> </svar> <svar v="PA00A433 PA00A434 PA00A436 PA00A437 PA00A430 PA00A433 PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446 PA00A452">Questions 19 to 23 should be asked to all persons who marked circle 1 in questions 14, 15, 16 and 17 and circles 2 and 3 of the last question except persons who answered that "they never have worked" (circle 9998) in question 18. </svar> <svar v="PA00A438 PA00A439 PA00A440 PA00A441 PA00A442 PA00A443 PA00A444 PA00A445 PA00A446" a="all">Question 23: Was your income last month from: The income refers to the retribution be it monetary or in kind, received by all persons 10 years old or older, active or non-active, during the month of April. [To the left of the text is a picture of paper currency.] Read every one of the concepts and categories and wait for the person to supply you the response. Remember that a person can get income in one or many categories from a to g. If the response is that no income was obtained, draw a line in the corresponding spaces and mark circle 2 in question 23 a. Note: If a person declares to have obtained more than one income but does not say the amount in any of them, write down in the corresponding line 9999. Below is detailed what should be included in each alternative of the question. [p. 102] a. Gross wage or salary: refers to the gross wage, salary or commission obtained in the occupation that the person did last month, without deductions of Social Security, Income Tax, Education Insurance, or whatever other deduction from loans from a bank or other credit institution. Put a zero in front when the amount is less than 1,000. When the amount is more than 10,000, write down 9998. When a person earns a fixed salary and commission, add the two amounts and write down the result in the corresponding space. For persons who only receive commission for their job, write down how much they made in this job. For employees who receive a weekly salary, multiply the gross income by 4.33. For employees in the agricultural and livestock sector add the gross salary earned every day and write down the monthly total. All persons who marked any of the circles 01-05 in question 21 (Do you work or did you work as:): Government employee, Private Company Employee, Employee of the Canal Commission or Defense Sites, Employee of a Non-Profit Institution, Domestic servant, should have a response for this question. [p. 103] Example: When enumerating a dwelling, it is found that one of its members worked as an agricultural worker on the farm Las Malvinas, for ten (10) days. The payment received was B/.6.00 for 6 days and B/4.00 the rest of the work days. [Below the text is a form.] If you observe while enumerating some doubt at the moment of declaring the information to you, proceed with much tact, to ask for a pay stub corresponding to last month. If the pay stub corresponds to a week, multiply the gross total by 4.33 and if it is of every other week, multiply the gross total by 2. [p. 104] b. Income by independent work or by their own account: refers to net income, that is to say, income without spending in the activity that a person did. Example: When enumerating the owner of a grocery store, he says that he obtained a net gain by the sale of provisions, approximately B/25.00 daily. It does not close any day of the month. [Below the text is a form.] c. Agricultural or Livestock Sales: is the net income that the person has obtained by the sale of agricultural or livestock products. [To the left of the text is a picture of a cow.] [p.105] Example: Señor Mariano Ramos is a farmer, last month he sold 2 hundred pounds of rice and received for each one B/20.00, 5 hundred pounds of unpeeled rice at B/12.00 each one. Also he sold 3 chickens at B/5.00 e/o. [To the right of the text is a picture of a plate of food.] [Below the text is a form.] d. Retirement payments or pension: refers to the income that the person receives from a retirement system or pension, or the payment recognized by a social security system because of inability to manage an occupation, it concerns what the retirees or pensioned are paid, include here pensions for the death of spouses, paid by Social Security. In the case of a person who in spite of being retired, declares to be currently working, you should also have information in section a. (salary). [To the right of the text is a picture of a bag of money.] [p. 106] e. Grants of Family aid: is the income that a person receives for the payment of studies. It includes all subsidy provided by any type of institution (public or private) and the loans for studies that these institutions and other banking and financial institutions award. [To the right of the text is a picture of books.] Family aid: is the contribution that a person receives provided from family members (who lives outside of the home), or other persons, such as public or private institutions. These can be in money or in kind, example of this type of income is: milk or other food that children in schools or children's centers receive, food and goods donations by social aide or state programs; money, clothes, food or any other goods that can be received by parents or relatives who do not reside in the interviewed dwelling, etc. The number to write down should be the final result of all the contributions that the person would be able to receive in this heading. [To the left of the text is a picture of paper currency.] Included in family aid is food pension that refers to the income that a spouse receives because of being separated such as food for children that they have in common. This payment generally is legally fixed, but other times is established by mutual agreement of the spouses; nonetheless. The enumerator should give attention to both situations so as not to lose this type of income in those cases in which the separation or the food of the children has not yet become legal. Also a de jure food pension can exist. When the children are less than 10 years old, assign the income to the mother. [p. 107] f. Rents, Investments or subsidies: refers to money received by the rent of dwellings, land or any other property that a person owns. It also includes dividends, interest, or benefits provided from the possession of stocks, bonds, and savings and investment accounts. [To the right of the text is a picture of a man with money in his hands.] g. Other income: refers to any other type of income that the interviewed person could have had last month provided from other sources that have not been mentioned before; include games of chance (lottery, card games), thirteenth month, others. 23 a. Income: If one has it (Circle 1): Mark the circle if information in some of section g exists. If one does not have it (Circle 2): Mark this circle if the interviewed person had no income in the reference month. [To the right of the text is a picture of money with a circle around it and a line through it.] Not declared (Circle 3): Mark this circle in the case that, after explaining to them in confidence about this information, in a subtle or indirect manner, the person refuses to offer the information. </svar> Panama 2000: Persons age 10+ [discrepancies: none] This variable indicates the income of the person last month. PA00A446 is a 6-digit numeric variable. Codes99998 = Unknown 99999 = NIU (not in universe) Income Variables -- PERSON Children born alive <svar v="PA00A447 PA00A448">For women 12 years of age and older [Questions 24-25 were asked of women aged 12 and older.] </svar> <svar v="PA00A447" a="all">24. How many sons and daughters have you had born alive? <div class="i1">_ _ Total sons/daughters (Continue with question 25) [] 00 None (Go on to the next individual)</div> </svar> For women 12 years old or older [Applies to questions 24- 27] Information about the variable fertility will be gathered for women 12 years old or older. In a strict sense, this variable, is the real frequency of births in the female population. Information about the variable mortality will be gathered for all of those surviving of the sons/daughters born alive by women 12 years old or older. It is defined as: the permanent disappearance of all signs of life, whatever was the time that passed since the birth. The gathering of information for this section in the census offers the opportunity of grouping information for estimating these variables to the national level in an economic way and principally to bring the vital statistics up to date. <svar v="PA00A447 PA00A048" a="PA00A447">Question No. 24: How many sons and daughters have you had born alive? Children born alive are considered all those who upon being born have presented vital signs such as breathing, crying or movement even when they have died immediately after having presented these signs. In this question information proportionate to the feminine population 12 years old or older is requested without considering her civil or marital state, referring to the number of sons/daughters born alive she had all of her reproductive life to the date of the census. [To the left of the text is a picture of a baby and to the right is a picture of a woman and a baby.] Read the question naturally, over all when the enumerated dwelling has women of this age. If you note surprise, explain that in some dwellings there are women who have children at very young ages, for this reason the question always has to be asked: When number of children born is less than ten, put a 0 in front of the number. Write down in the corresponding spaces the number of sons and daughters that the woman declares and continue with question 25. [p. 110] For women who have never had children, mark the circle "None" and finish the interview with this person. Adopted children or stepchildren of women residents of the dwelling should not be counted. </svar> Panama 2000: Female age 12+ [discrepancies: none] This variable indicates the number of children born alive. 00 None 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 Children currently alive <svar v="PA00A447 PA00A448">For women 12 years of age and older [Questions 24-25 were asked of women aged 12 and older.] </svar> <svar v="PA00A448" a="all">25. Of these, how may are alive? <div class="i1">_ _ Total sons/daughters alive</div> </svar> For women 12 years old or older [Applies to questions 24- 27] Information about the variable fertility will be gathered for women 12 years old or older. In a strict sense, this variable, is the real frequency of births in the female population. Information about the variable mortality will be gathered for all of those surviving of the sons/daughters born alive by women 12 years old or older. It is defined as: the permanent disappearance of all signs of life, whatever was the time that passed since the birth. The gathering of information for this section in the census offers the opportunity of grouping information for estimating these variables to the national level in an economic way and principally to bring the vital statistics up to date. <svar v="PA00A447 PA00A048" a="PA00A447">Question No. 24: How many sons and daughters have you had born alive? Children born alive are considered all those who upon being born have presented vital signs such as breathing, crying or movement even when they have died immediately after having presented these signs. In this question information proportionate to the feminine population 12 years old or older is requested without considering her civil or marital state, referring to the number of sons/daughters born alive she had all of her reproductive life to the date of the census. [To the left of the text is a picture of a baby and to the right is a picture of a woman and a baby.] Read the question naturally, over all when the enumerated dwelling has women of this age. If you note surprise, explain that in some dwellings there are women who have children at very young ages, for this reason the question always has to be asked: When number of children born is less than ten, put a 0 in front of the number. Write down in the corresponding spaces the number of sons and daughters that the woman declares and continue with question 25. [p. 110] For women who have never had children, mark the circle "None" and finish the interview with this person. Adopted children or stepchildren of women residents of the dwelling should not be counted. </svar> <svar v="PA00A448" a="all">Question No. 25: Of these [children] how many are alive? The information refers to the number of sons/daughters currently alive including all sons/daughters who the woman has had that are alive at the date of the census. [To the right and left of the text are pictures of babies.] Write down in the corresponding spaces the response of the woman. The number of children declared in this question should be less than or equal to the response in question 24. If no child is alive, write down "00". </svar> Panama 2000: Female age 12+ who have children [discrepancies: none] This variable indicates the number of children currently alive. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Child born during the last year <svar v="PA00A449 PA00A450">Only for women between 12 and 49 years of age, who have declared live births: [Questions 26-27 were asked of women aged 24 - 49 who have born live children.] </svar> <svar v="PA00A449" a="all">26. Of your sons and daughters born alive, were any born during the last 12 months? <div class="i1">[] 1 Yes Date of birth:</div> <div class="i2">Day ____ Month ____ Year ____</div> <div class="i1">(Continue with question 27) [] 2 No (Go on to the next individual)</div> </svar> For women 12 years old or older [Applies to questions 24- 27] Information about the variable fertility will be gathered for women 12 years old or older. In a strict sense, this variable, is the real frequency of births in the female population. Information about the variable mortality will be gathered for all of those surviving of the sons/daughters born alive by women 12 years old or older. It is defined as: the permanent disappearance of all signs of life, whatever was the time that passed since the birth. The gathering of information for this section in the census offers the opportunity of grouping information for estimating these variables to the national level in an economic way and principally to bring the vital statistics up to date. <svar v="PA00A449 PA00A450" a="PA00A449">Question No. 26: Of your sons and daughters born alive, were any born during the last 12 months? This refers to all sons/daughters born alive by the feminine population in reproductive age (12-49 years of age), during the 12 months before the Census, that is to say from May 1999 to May of the year 2000. [To the left of the text is a picture of a baby.] Mark the corresponding circle agreeing with the response of the woman. When the woman answers affirmatively, the date of the birth of the son or daughter born alive should be marked in the corresponding space. (day, month and year). The response should be in numeric form. Example: 01-06-1999 If the response is negative, finish the interview and continue with the next person. </svar> Panama 2000: Female age 12 to 49 who have children [discrepancies: none] This variable indicates whether there was a child born during the last year. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON That child currently alive <svar v="PA00A449 PA00A450">Only for women between 12 and 49 years of age, who have declared live births: [Questions 26-27 were asked of women aged 24 - 49 who have born live children.] </svar> <svar v="PA00A450" a="all">27. Is this son or daughter alive? <div class="i1">[] 1 Yes [] 2 No</div> </svar> For women 12 years old or older [Applies to questions 24- 27] Information about the variable fertility will be gathered for women 12 years old or older. In a strict sense, this variable, is the real frequency of births in the female population. Information about the variable mortality will be gathered for all of those surviving of the sons/daughters born alive by women 12 years old or older. It is defined as: the permanent disappearance of all signs of life, whatever was the time that passed since the birth. The gathering of information for this section in the census offers the opportunity of grouping information for estimating these variables to the national level in an economic way and principally to bring the vital statistics up to date. <svar v="PA00A449 PA00A450" a="PA00A449">Question No. 26: Of your sons and daughters born alive, were any born during the last 12 months? This refers to all sons/daughters born alive by the feminine population in reproductive age (12-49 years of age), during the 12 months before the Census, that is to say from May 1999 to May of the year 2000. [To the left of the text is a picture of a baby.] Mark the corresponding circle agreeing with the response of the woman. When the woman answers affirmatively, the date of the birth of the son or daughter born alive should be marked in the corresponding space. (day, month and year). The response should be in numeric form. Example: 01-06-1999 If the response is negative, finish the interview and continue with the next person. </svar> <svar v="PA00A449 PA00A450" a="PA00A450">Question No. 27: Is this son or daughter alive? It refers to sons and daughters born alive in the last years, currently alive. Mark with an "X" the corresponding circle, agreeing with the response of the informant. Remember that this question refers to the child declared in question 24. </svar> Panama 2000: Female age 12 to 49 who have children born last year [discrepancies: none] This variable indicates whether the child born during the past one year is currently alive. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON