{"type":"survey","doc_desc":{"title":"1991 Population and Housing Census","idno":"DDI_BWA_1991_PHC_v01_M_v7.5_A_IPUMS","producers":[{"name":"IPUMS","abbr":"IPUMS","affiliation":"University of Minnesota","role":"Integration Harmonization Documentation"}],"prod_date":"May 21, 2024","version_statement":{"version":"Version 7.5 October 2024. NEW FEATURES.\n\n--Historical data from NAPP project now available from IPUMS-International.\n--Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk.\n--Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples.\n--New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.\n--IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures.\n\nNEW SAMPLES.\n\n--Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. \n--Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) \n--Labor force surveys from Spain and eight new labor force surveys from Italy added to the series.\n\nNewly added countries: \nBenin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe\n\nNew samples for: \nBolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe\n\nSUPPLEMENTAL DATA.\n\nData from censuses from Benin and Lesotho that record individual fertility and\/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system.\n\nNEW VARIABLES.\n\n--IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here.\n--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here.\n--IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.\n--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.\n--Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography.\n--Added more detailed 3-digit industry and occupation variables for China 2000.\n\nEDITED SAMPLES.\n\n--Revised full-count data for Great Britain 1881\n--Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets:\n--Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS.\n--Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE.\n--A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute.\n\nEDITED VARIABLES.\n\nAn error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01.\n\nAGEMARR was edited to add data for Hungary 1980 and 1990.\n\nHarmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries.\nErrors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000.\n\nHarmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here.\nThe codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education.\n\nErrors affecting EDUCFJ for Fiji 2006 were corrected.\nA problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals.\n\nMOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers.\n\nAn error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected.\n\nAn error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed.\n\nAll the six Brazil samples in IPUMS International were replaced with higher density samples.\n\nAn edited version of the Chile 2017 sample was introduced to correct an error in household breaks.\n\nErrors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected.\n\nHarmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here.\nAn error in PERWT affecting Nepal 2001 was corrected.\nErrors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household.\n\nAn error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited.\n\nHarmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.\nAn error in INCEARN affecting Brazil 1980 was corrected.\nAn error in EDATTAIN affecting Ireland 1971 and 1981 was corrected.\n\nA small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit.\nThe second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN.\nAn error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed.\n\nA problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals.\nHarmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.\n\nHarmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.\nAn error affecting codes for COMPUTER for Senegal 2013 was corrected.\nAn error affecting labels available in IND for Peru 1993 was corrected.\nAn error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected.\nEDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization.\nHHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province.\nIn GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE.\n\nErrors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected.\nErrors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected."}},"study_desc":{"title_statement":{"idno":"BWA_1991_PHC_v01_M_v7.5_A_IPUMS","title":"1991 Population and Housing Census - IPUMS Subset","alternate_title":"PHC Botswana 1991 (IPUMS Harmonized Subset)"},"authoring_entity":[{"name":"Central Statistics Office","affiliation":""},{"name":"IPUMS","affiliation":"University of Minnesota"}],"production_statement":{"copyright":"(c) Copyright 1991, Central Statistics Office and Minnesota Population Center"},"distribution_statement":{"contact":[{"name":"Central Statistics Office","affiliation":"","email":"","uri":""}]},"series_statement":{"series_name":"Population and Housing Census [hh\/popcen] IPUMS International","series_info":"DOI:10.18128\/D020.V7.5"},"version_statement":{"version":"Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.","version_date":"2024-10-05"},"study_info":{"topics":[{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Geography: Global Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Disability Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Education Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Geography: A-E Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Migration: A-E Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Other Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Geography: Global Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Other Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Disability Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Education Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work: Occupation Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work: Industry Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work: Occupation Variables -- PERSON","vocab":"IPUMS","uri":""}],"time_periods":[{"start":"1991-08-14","end":"1991-08-14","cycle":""}],"coll_dates":[{"start":"1991-08-14","end":"1991-08-23","cycle":""}],"nation":[{"name":"Botswana","abbreviation":"BWA"}],"geog_unit":"District","analysis_unit":"Persons, households, and dwellings  \n        \nUNITS IDENTIFIED:\n- Dwellings: yes\n- Vacant Units: no\n- Households: yes\n- Individuals: yes\n- Group quarters: yes\n\nUNIT DESCRIPTIONS:\n- Dwellings: Consists of one or more structures or building, permanent or temporary, usually surrounded by a fence\/wall or something to mark its boundaries.  A lolwapa\/dwelling may contain more than one household.\n- Households: One or more persons, related or unrelated, living together \"under the same roof\" in the same lolwapa\/dwelling, eating together \"from the same pot\" and\/or making common provisions for food and other living arrangments.\n- Group quarters: Persons living in instiutions including pateints in hopsitals, persons staying in hotels, prisoners, BDF personnel in barracks and miners in hostels.","universe":"Everyone living in Botswana regardless of age, citizenship, or resident status.","data_kind":"Population and Housing Census [hh\/popcen]","notes":"Additional notes on a sample that is part of this study:  Botswana 1991"},"method":{"data_collection":{"sampling_procedure":"MICRODATA SOURCE: Central Statistics Office\n\nSAMPLE SIZE (person records): 132623.\n\nSAMPLE DESIGN: Systematic sample of every tenth private household drawn by the Minnesota Population Center from 100% microdata","coll_mode":["Face-to-face [f2f]"],"research_instrument":"Household Questionnaire and Institutional Questionnaire","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"de facto, CENSUS DAY: August 14, 1991","weight":"Self-weighting (expansion factor = 10)."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"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.\n\nTo gain access to the data, a researcher must agree to the following:\n\n(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.\n\n(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.\n\n(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.\n\n(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.\n\nOnce 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.\n\nThese 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.\n\nIPUMS 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:\n\n(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.\n\n(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.\n\n(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)\n\n(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.\n\nThe 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.","required":"yes","form_no":"","form_uri":""}],"contact":[{"name":"Central Statistics Office","affiliation":"","email":"","uri":""}],"cit_req":". Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https:\/\/doi.org\/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https:\/\/doi.org\/10.18128\/D020.V7.5\n\nResearchers should also acknowledge the statistical agency that originally produced the data: Botswana, Central Statistics Office. 1991 Population and Housing Census\n\n\nThe 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.\n\nCopies of such materials are also gratefully received at ipums@umn.edu.\n\nPrinted matter should be sent to:\nIPUMS International\nMinnesota Population Center\nUniversity of Minnesota\n50 Willey Hall\n225 19th Avenue South\nMinneapolis, MN 55455","conditions":"An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https:\/\/international.ipums.org\/international\/) under the following conditions:\n\nIPUMS 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:\n\n(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.\n\n(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.\n\n(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.\n\n(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.\n\nOnce 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.\n\nThese 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.","disclaimer":"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."}}},"schematype":"survey","data_files":[{"file_id":"H","file_name":"BWA1991_PHC-H-H.dat","description":"Household records","case_count":"29","var_count":null,"producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null},{"file_id":"P","file_name":"BWA1991_PHC-P-H.dat","description":"Person records","case_count":"132623","var_count":null,"producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null}],"variables":[{"file_id":"H","vid":"RECTYPE","name":"RECTYPE","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"1","loc_end_pos":"1","loc_width":"1","loc_rec_seg_no":null,"labl":"Record type","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"RECTYPE identifies the type of record for the case: household or person.\n\nNOTE: 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.","var_catgry":[{"value":"H","labl":"Household","is_missing":null,"stats":[]},{"value":"P","labl":"Person","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"character","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"COUNTRY","name":"COUNTRY","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"2","loc_end_pos":"4","loc_width":"3","loc_rec_seg_no":null,"labl":"Country","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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).","var_catgry":[{"value":"032","labl":"Argentina","is_missing":null,"stats":[]},{"value":"051","labl":"Armenia","is_missing":null,"stats":[]},{"value":"040","labl":"Austria","is_missing":null,"stats":[]},{"value":"050","labl":"Bangladesh","is_missing":null,"stats":[]},{"value":"112","labl":"Belarus","is_missing":null,"stats":[]},{"value":"204","labl":"Benin","is_missing":null,"stats":[]},{"value":"068","labl":"Bolivia","is_missing":null,"stats":[]},{"value":"072","labl":"Botswana","is_missing":null,"stats":[]},{"value":"076","labl":"Brazil","is_missing":null,"stats":[]},{"value":"854","labl":"Burkina Faso","is_missing":null,"stats":[]},{"value":"116","labl":"Cambodia","is_missing":null,"stats":[]},{"value":"120","labl":"Cameroon","is_missing":null,"stats":[]},{"value":"124","labl":"Canada","is_missing":null,"stats":[]},{"value":"152","labl":"Chile","is_missing":null,"stats":[]},{"value":"156","labl":"China","is_missing":null,"stats":[]},{"value":"170","labl":"Colombia","is_missing":null,"stats":[]},{"value":"188","labl":"Costa Rica","is_missing":null,"stats":[]},{"value":"192","labl":"Cuba","is_missing":null,"stats":[]},{"value":"208","labl":"Denmark","is_missing":null,"stats":[]},{"value":"214","labl":"Dominican Republic","is_missing":null,"stats":[]},{"value":"218","labl":"Ecuador","is_missing":null,"stats":[]},{"value":"818","labl":"Egypt","is_missing":null,"stats":[]},{"value":"222","labl":"El Salvador","is_missing":null,"stats":[]},{"value":"231","labl":"Ethiopia","is_missing":null,"stats":[]},{"value":"242","labl":"Fiji","is_missing":null,"stats":[]},{"value":"246","labl":"Finland","is_missing":null,"stats":[]},{"value":"250","labl":"France","is_missing":null,"stats":[]},{"value":"276","labl":"Germany","is_missing":null,"stats":[]},{"value":"288","labl":"Ghana","is_missing":null,"stats":[]},{"value":"300","labl":"Greece","is_missing":null,"stats":[]},{"value":"320","labl":"Guatemala","is_missing":null,"stats":[]},{"value":"324","labl":"Guinea","is_missing":null,"stats":[]},{"value":"332","labl":"Haiti","is_missing":null,"stats":[]},{"value":"340","labl":"Honduras","is_missing":null,"stats":[]},{"value":"348","labl":"Hungary","is_missing":null,"stats":[]},{"value":"352","labl":"Iceland","is_missing":null,"stats":[]},{"value":"356","labl":"India","is_missing":null,"stats":[]},{"value":"360","labl":"Indonesia","is_missing":null,"stats":[]},{"value":"364","labl":"Iran","is_missing":null,"stats":[]},{"value":"368","labl":"Iraq","is_missing":null,"stats":[]},{"value":"372","labl":"Ireland","is_missing":null,"stats":[]},{"value":"376","labl":"Israel","is_missing":null,"stats":[]},{"value":"380","labl":"Italy","is_missing":null,"stats":[]},{"value":"384","labl":"Ivory 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The major administrative unit of the household is identified by the GEOLEV1 variable.\n\nThe 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. 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Districts are the first level administrative units of the country.  GEO1_BW 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_BW can be downloaded from the GIS Boundary files page in the IPUMS International web site.  \n\nThe full set of geography variables for Botswana 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.","var_catgry":[{"value":"072001","labl":"Gaborone","is_missing":null,"stats":[]},{"value":"072002","labl":"Francistown","is_missing":null,"stats":[]},{"value":"072003","labl":"Lobatse","is_missing":null,"stats":[]},{"value":"072004","labl":"Selebi Phikwe","is_missing":null,"stats":[]},{"value":"072007","labl":"Central Tutume, Sowa","is_missing":null,"stats":[]},{"value":"072010","labl":"Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng","is_missing":null,"stats":[]},{"value":"072011","labl":"Borolong","is_missing":null,"stats":[]},{"value":"072020","labl":"South East","is_missing":null,"stats":[]},{"value":"072030","labl":"Kweneng, Kweneng South, Kweneng North","is_missing":null,"stats":[]},{"value":"072040","labl":"Kgatleng","is_missing":null,"stats":[]},{"value":"072050","labl":"Central Serowe\/Palapye","is_missing":null,"stats":[]},{"value":"072051","labl":"Central Mahalapye","is_missing":null,"stats":[]},{"value":"072052","labl":"Central Bobonong","is_missing":null,"stats":[]},{"value":"072053","labl":"Central Boteti, Orapa","is_missing":null,"stats":[]},{"value":"072060","labl":"North East","is_missing":null,"stats":[]},{"value":"072070","labl":"Ngamiland East","is_missing":null,"stats":[]},{"value":"072071","labl":"Ngamiland West, Delta","is_missing":null,"stats":[]},{"value":"072072","labl":"Chobe","is_missing":null,"stats":[]},{"value":"072080","labl":"Ghanzi, Central Kgalagadi Game Reserve (CKGR)","is_missing":null,"stats":[]},{"value":"072090","labl":"Tshabong (Kgalagadi South)","is_missing":null,"stats":[]},{"value":"072091","labl":"Hukunsti (Kgalagadi North)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Geography: A-E Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"GEO1_BW1991","name":"GEO1_BW1991","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"91","loc_end_pos":"93","loc_width":"3","loc_rec_seg_no":null,"labl":"Botswana, District 1991 [Level 1, GIS]","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"GEO1_BW1991 identifies the household's district within Botswana in 1991. Districts are the first level administrative units of the country.  A GIS map (in shapefile format), corresponding to GEO1_BW1991 can be downloaded from the GIS Boundary files page in the IPUMS International web site.  \n\nThe full set of geography variables for Botswana 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.","var_catgry":[{"value":"001","labl":"Gaborone","is_missing":null,"stats":[]},{"value":"002","labl":"Francistown","is_missing":null,"stats":[]},{"value":"003","labl":"Lobatse","is_missing":null,"stats":[]},{"value":"004","labl":"Selebi Phikwe","is_missing":null,"stats":[]},{"value":"010","labl":"Southern, Jwaneng","is_missing":null,"stats":[]},{"value":"011","labl":"Barolong","is_missing":null,"stats":[]},{"value":"020","labl":"South East","is_missing":null,"stats":[]},{"value":"031","labl":"Kweneng East","is_missing":null,"stats":[]},{"value":"032","labl":"Kweneng West","is_missing":null,"stats":[]},{"value":"040","labl":"Kgatleng","is_missing":null,"stats":[]},{"value":"050","labl":"Serowe Palapye","is_missing":null,"stats":[]},{"value":"051","labl":"Central Mahalapy","is_missing":null,"stats":[]},{"value":"052","labl":"Central Bobonong","is_missing":null,"stats":[]},{"value":"053","labl":"Central Boteti, Orapa","is_missing":null,"stats":[]},{"value":"054","labl":"Central Tutume, Sowa Pan","is_missing":null,"stats":[]},{"value":"060","labl":"North East","is_missing":null,"stats":[]},{"value":"070","labl":"Ngamiland South","is_missing":null,"stats":[]},{"value":"071","labl":"Ngamiland North, Ngamiland Delta","is_missing":null,"stats":[]},{"value":"072","labl":"Chobe","is_missing":null,"stats":[]},{"value":"080","labl":"Ghanzi, Central Kgalagadi Game Reserve (CKGR)","is_missing":null,"stats":[]},{"value":"090","labl":"Kgalagadi South","is_missing":null,"stats":[]},{"value":"091","labl":"Kgalagadi North","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Geography: A-E Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"OWNERSHIP","name":"OWNERSHIP","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"94","loc_end_pos":"94","loc_width":"1","loc_rec_seg_no":null,"labl":"Ownership of dwelling [general version]","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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. 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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.","var_catgry":[{"value":"000","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"100","labl":"Owned","is_missing":null,"stats":[]},{"value":"110","labl":"Owned, already paid","is_missing":null,"stats":[]},{"value":"120","labl":"Owned, still paying","is_missing":null,"stats":[]},{"value":"130","labl":"Owned, constructed","is_missing":null,"stats":[]},{"value":"140","labl":"Owned, inherited","is_missing":null,"stats":[]},{"value":"190","labl":"Owned, other","is_missing":null,"stats":[]},{"value":"191","labl":"Owned, house","is_missing":null,"stats":[]},{"value":"192","labl":"Owned, condominium","is_missing":null,"stats":[]},{"value":"193","labl":"Apartment proprietor","is_missing":null,"stats":[]},{"value":"194","labl":"Shared ownership","is_missing":null,"stats":[]},{"value":"200","labl":"Not 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split","is_missing":null,"stats":[]},{"value":"041","labl":"41","is_missing":null,"stats":[]},{"value":"042","labl":"42","is_missing":null,"stats":[]},{"value":"043","labl":"43","is_missing":null,"stats":[]},{"value":"044","labl":"44","is_missing":null,"stats":[]},{"value":"046","labl":"46","is_missing":null,"stats":[]},{"value":"047","labl":"47","is_missing":null,"stats":[]},{"value":"048","labl":"48","is_missing":null,"stats":[]},{"value":"049","labl":"49","is_missing":null,"stats":[]},{"value":"050","labl":"50","is_missing":null,"stats":[]},{"value":"051","labl":"51","is_missing":null,"stats":[]},{"value":"052","labl":"52","is_missing":null,"stats":[]},{"value":"053","labl":"53","is_missing":null,"stats":[]},{"value":"054","labl":"54","is_missing":null,"stats":[]},{"value":"056","labl":"56","is_missing":null,"stats":[]},{"value":"057","labl":"57","is_missing":null,"stats":[]},{"value":"058","labl":"58","is_missing":null,"stats":[]},{"value":"059","labl":"59","is_missing":null,"stats":[]},{"value":"060","labl":"60","is_missing":null,"stats":[]},{"value":"061","labl":"61","is_missing":null,"stats":[]},{"value":"062","labl":"62","is_missing":null,"stats":[]},{"value":"066","labl":"66","is_missing":null,"stats":[]},{"value":"068","labl":"68","is_missing":null,"stats":[]},{"value":"070","labl":"70","is_missing":null,"stats":[]},{"value":"071","labl":"71","is_missing":null,"stats":[]},{"value":"072","labl":"72","is_missing":null,"stats":[]},{"value":"073","labl":"73","is_missing":null,"stats":[]},{"value":"074","labl":"74","is_missing":null,"stats":[]},{"value":"075","labl":"75","is_missing":null,"stats":[]},{"value":"077","labl":"77","is_missing":null,"stats":[]},{"value":"079","labl":"79","is_missing":null,"stats":[]},{"value":"085","labl":"85","is_missing":null,"stats":[]},{"value":"086","labl":"86","is_missing":null,"stats":[]},{"value":"087","labl":"87","is_missing":null,"stats":[]},{"value":"088","labl":"88","is_missing":null,"stats":[]},{"value":"089","labl":"89","is_missing":null,"stats":[]},{"value":"090","labl":"90","is_missing":null,"stats":[]},{"value":"096","labl":"96","is_missing":null,"stats":[]},{"value":"097","labl":"97","is_missing":null,"stats":[]},{"value":"098","labl":"98","is_missing":null,"stats":[]},{"value":"101","labl":"101","is_missing":null,"stats":[]},{"value":"102","labl":"102","is_missing":null,"stats":[]},{"value":"103","labl":"103","is_missing":null,"stats":[]},{"value":"104","labl":"104","is_missing":null,"stats":[]},{"value":"106","labl":"106","is_missing":null,"stats":[]},{"value":"110","labl":"110","is_missing":null,"stats":[]},{"value":"111","labl":"111","is_missing":null,"stats":[]},{"value":"113","labl":"113","is_missing":null,"stats":[]},{"value":"117","labl":"117","is_missing":null,"stats":[]},{"value":"122","labl":"122","is_missing":null,"stats":[]},{"value":"123","labl":"123","is_missing":null,"stats":[]},{"value":"125","labl":"125","is_missing":null,"stats":[]},{"value":"126","labl":"126","is_missing":null,"stats":[]},{"value":"127","labl":"127","is_missing":null,"stats":[]},{"value":"131","labl":"131","is_missing":null,"stats":[]},{"value":"132","labl":"132","is_missing":null,"stats":[]},{"value":"135","labl":"135","is_missing":null,"stats":[]},{"value":"138","labl":"138","is_missing":null,"stats":[]},{"value":"141","labl":"141","is_missing":null,"stats":[]},{"value":"143","labl":"143","is_missing":null,"stats":[]},{"value":"147","labl":"147","is_missing":null,"stats":[]},{"value":"156","labl":"156","is_missing":null,"stats":[]},{"value":"158","labl":"158","is_missing":null,"stats":[]},{"value":"159","labl":"159","is_missing":null,"stats":[]},{"value":"160","labl":"160","is_missing":null,"stats":[]},{"value":"163","labl":"163","is_missing":null,"stats":[]},{"value":"166","labl":"166","is_missing":null,"stats":[]},{"value":"178","labl":"178","is_missing":null,"stats":[]},{"value":"179","labl":"179","is_missing":null,"stats":[]},{"value":"180","labl":"180","is_missing":null,"stats":[]},{"value":"185","labl":"185","is_missing":null,"stats":[]},{"value":"188","labl":"188","is_missing":null,"stats":[]},{"value":"196","labl":"196","is_missing":null,"stats":[]},{"value":"201","labl":"201","is_missing":null,"stats":[]},{"value":"207","labl":"207","is_missing":null,"stats":[]},{"value":"213","labl":"213","is_missing":null,"stats":[]},{"value":"218","labl":"218","is_missing":null,"stats":[]},{"value":"244","labl":"244","is_missing":null,"stats":[]},{"value":"266","labl":"266","is_missing":null,"stats":[]},{"value":"319","labl":"319","is_missing":null,"stats":[]},{"value":"320","labl":"320","is_missing":null,"stats":[]},{"value":"336","labl":"336","is_missing":null,"stats":[]},{"value":"390","labl":"390","is_missing":null,"stats":[]},{"value":"398","labl":"398","is_missing":null,"stats":[]},{"value":"405","labl":"405","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_VILLSIZE","name":"BW1991A_VILLSIZE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"138","loc_end_pos":"138","loc_width":"1","loc_rec_seg_no":null,"labl":"Village size","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"em\">Enumeration check control (to be completed by the enumerator)<\/span><div class=\"i1\">____ Page number<br \/>____ Village code<br \/>____ Locality code<br \/>____ <span class=\"lang\">Lolwapa<\/span> number<br \/>____ Number of enumerated household<br \/>____ Number of enumerated person present (part A)<br \/>____ Number of enumerated person(s) outside Botswana (part B) <br \/><br \/>____ Enumerator<br \/>____ Date<br \/><br \/>____ Supervisor<br \/>____ Date<br \/><br \/>____ District census officer <br \/>____ Date<br \/><br \/>____ Census officer storekeeper<br \/>____ Date<\/div><span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">Appendix XV<\/span><div class=\"i1\">____ District<br \/>____ Village<br \/>____ Enumeration Area<br \/>____ CD<br \/>____ Locality<br \/>____ <span class=\"lang\">Lolwapa<\/span>\/house number<br \/>____ Household number<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Botswana 1991: All households","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the village size where the dwelling is located.","var_catgry":[{"value":"1","labl":"Population less than 500","is_missing":null,"stats":[]},{"value":"2","labl":"Population from 500 to 999","is_missing":null,"stats":[]},{"value":"3","labl":"Population from 1000 to 4999","is_missing":null,"stats":[]},{"value":"4","labl":"Population of 5000 and more","is_missing":null,"stats":[]},{"value":"5","labl":"Other locality","is_missing":null,"stats":[]},{"value":"8","labl":"Urban","is_missing":null,"stats":[]},{"value":"9","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Geography: A-E Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_URBAN","name":"BW1991A_URBAN","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"139","loc_end_pos":"139","loc_width":"1","loc_rec_seg_no":null,"labl":"Urban or rural area","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Botswana 1991: All households","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the area is urban or rural.","var_catgry":[{"value":"1","labl":"Urban","is_missing":null,"stats":[]},{"value":"2","labl":"Rural","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Geography: A-E Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_RURLOCSIZE","name":"BW1991A_RURLOCSIZE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"140","loc_end_pos":"140","loc_width":"1","loc_rec_seg_no":null,"labl":"Rural local size","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">Appendix XV<\/span><div class=\"i1\">____ District<br \/>____ Village<br \/>____ Enumeration Area<br \/>____ CD<br \/>____ Locality<br \/>____ <span class=\"lang\">Lolwapa<\/span>\/house number<br \/>____ Household number<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Botswana 1991: All households","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the size of the rural area where the dwelling is located.","var_catgry":[{"value":"1","labl":"Population less than 100","is_missing":null,"stats":[]},{"value":"2","labl":"Population from 100 to 499","is_missing":null,"stats":[]},{"value":"3","labl":"Population from 500 to 999","is_missing":null,"stats":[]},{"value":"4","labl":"Population from 1000 to 4999","is_missing":null,"stats":[]},{"value":"5","labl":"Population of 5000 and more","is_missing":null,"stats":[]},{"value":"8","labl":"Urban","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Geography: A-E Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OWNCATTLE","name":"BW1991A_OWNCATTLE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"141","loc_end_pos":"141","loc_width":"1","loc_rec_seg_no":null,"labl":"Cattle owned by household members","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>1. Does any member of this household own...?<\/p>\n<div class=\"i1\">[] 1 Cattle<br \/>[] 2 Goats<br \/>[] 4 Sheep<br \/>[] 8 Pigs<br \/>[] 16 Poultry<br \/>[] 32 Donkeys\/horses<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E1: Ownership of Livestock<\/span><\/p>\n\n<p>Does any member of this household own:<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats<br \/>4 Sheep<br \/>8 Pigs<br \/>16 Poultry<br \/>32 Donkeys\/Horses<\/div><p>Circle the appropriate answer code(s), if any member of the household owns any of the above listed livestock.<\/p>\n\n<p>If none of the above applies, write 0 in the space below the response codes, but not in the shaded area. For example, if a household owns three goats and a few chickens you would put a ring around 2 (goats) and around 16 (poultry).<\/p>\n\n<p><span class=\"pg\">[p.46]<\/span><\/p>\n\n<p>In the sample questionnaire in paragraph 133, James owns some cattle, Thembe owns some goats and Lorato owns some poultry in Botswana. Since Thembe is only a visitor, the fact that she owns goats is not recorded in column E1. However, Lorato is a household member, and, since she owns poultry in Botswana, the code 16 is circled. Code 1 is also circled since James owns cattle.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member owns cattle.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OWNGOATS","name":"BW1991A_OWNGOATS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"142","loc_end_pos":"142","loc_width":"1","loc_rec_seg_no":null,"labl":"Goats owned by household members","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>1. Does any member of this household own...?<\/p>\n<div class=\"i1\">[] 1 Cattle<br \/>[] 2 Goats<br \/>[] 4 Sheep<br \/>[] 8 Pigs<br \/>[] 16 Poultry<br \/>[] 32 Donkeys\/horses<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E1: Ownership of Livestock<\/span><\/p>\n\n<p>Does any member of this household own:<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats<br \/>4 Sheep<br \/>8 Pigs<br \/>16 Poultry<br \/>32 Donkeys\/Horses<\/div><p>Circle the appropriate answer code(s), if any member of the household owns any of the above listed livestock.<\/p>\n\n<p>If none of the above applies, write 0 in the space below the response codes, but not in the shaded area. For example, if a household owns three goats and a few chickens you would put a ring around 2 (goats) and around 16 (poultry).<\/p>\n\n<p><span class=\"pg\">[p.46]<\/span><\/p>\n\n<p>In the sample questionnaire in paragraph 133, James owns some cattle, Thembe owns some goats and Lorato owns some poultry in Botswana. Since Thembe is only a visitor, the fact that she owns goats is not recorded in column E1. However, Lorato is a household member, and, since she owns poultry in Botswana, the code 16 is circled. Code 1 is also circled since James owns cattle.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member owns goats.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OWNSHEEP","name":"BW1991A_OWNSHEEP","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"143","loc_end_pos":"143","loc_width":"1","loc_rec_seg_no":null,"labl":"Sheep owned by household members","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>1. Does any member of this household own...?<\/p>\n<div class=\"i1\">[] 1 Cattle<br \/>[] 2 Goats<br \/>[] 4 Sheep<br \/>[] 8 Pigs<br \/>[] 16 Poultry<br \/>[] 32 Donkeys\/horses<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E1: Ownership of Livestock<\/span><\/p>\n\n<p>Does any member of this household own:<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats<br \/>4 Sheep<br \/>8 Pigs<br \/>16 Poultry<br \/>32 Donkeys\/Horses<\/div><p>Circle the appropriate answer code(s), if any member of the household owns any of the above listed livestock.<\/p>\n\n<p>If none of the above applies, write 0 in the space below the response codes, but not in the shaded area. For example, if a household owns three goats and a few chickens you would put a ring around 2 (goats) and around 16 (poultry).<\/p>\n\n<p><span class=\"pg\">[p.46]<\/span><\/p>\n\n<p>In the sample questionnaire in paragraph 133, James owns some cattle, Thembe owns some goats and Lorato owns some poultry in Botswana. Since Thembe is only a visitor, the fact that she owns goats is not recorded in column E1. However, Lorato is a household member, and, since she owns poultry in Botswana, the code 16 is circled. Code 1 is also circled since James owns cattle.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates if any household member owns sheep.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OWNPIGS","name":"BW1991A_OWNPIGS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"144","loc_end_pos":"144","loc_width":"1","loc_rec_seg_no":null,"labl":"Pigs owned by household members","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>1. Does any member of this household own...?<\/p>\n<div class=\"i1\">[] 1 Cattle<br \/>[] 2 Goats<br \/>[] 4 Sheep<br \/>[] 8 Pigs<br \/>[] 16 Poultry<br \/>[] 32 Donkeys\/horses<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E1: Ownership of Livestock<\/span><\/p>\n\n<p>Does any member of this household own:<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats<br \/>4 Sheep<br \/>8 Pigs<br \/>16 Poultry<br \/>32 Donkeys\/Horses<\/div><p>Circle the appropriate answer code(s), if any member of the household owns any of the above listed livestock.<\/p>\n\n<p>If none of the above applies, write 0 in the space below the response codes, but not in the shaded area. For example, if a household owns three goats and a few chickens you would put a ring around 2 (goats) and around 16 (poultry).<\/p>\n\n<p><span class=\"pg\">[p.46]<\/span><\/p>\n\n<p>In the sample questionnaire in paragraph 133, James owns some cattle, Thembe owns some goats and Lorato owns some poultry in Botswana. Since Thembe is only a visitor, the fact that she owns goats is not recorded in column E1. However, Lorato is a household member, and, since she owns poultry in Botswana, the code 16 is circled. Code 1 is also circled since James owns cattle.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates if any household member owns pigs.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OWNPOULTRY","name":"BW1991A_OWNPOULTRY","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"145","loc_end_pos":"145","loc_width":"1","loc_rec_seg_no":null,"labl":"Poultry owned by household members","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>1. Does any member of this household own...?<\/p>\n<div class=\"i1\">[] 1 Cattle<br \/>[] 2 Goats<br \/>[] 4 Sheep<br \/>[] 8 Pigs<br \/>[] 16 Poultry<br \/>[] 32 Donkeys\/horses<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E1: Ownership of Livestock<\/span><\/p>\n\n<p>Does any member of this household own:<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats<br \/>4 Sheep<br \/>8 Pigs<br \/>16 Poultry<br \/>32 Donkeys\/Horses<\/div><p>Circle the appropriate answer code(s), if any member of the household owns any of the above listed livestock.<\/p>\n\n<p>If none of the above applies, write 0 in the space below the response codes, but not in the shaded area. For example, if a household owns three goats and a few chickens you would put a ring around 2 (goats) and around 16 (poultry).<\/p>\n\n<p><span class=\"pg\">[p.46]<\/span><\/p>\n\n<p>In the sample questionnaire in paragraph 133, James owns some cattle, Thembe owns some goats and Lorato owns some poultry in Botswana. Since Thembe is only a visitor, the fact that she owns goats is not recorded in column E1. However, Lorato is a household member, and, since she owns poultry in Botswana, the code 16 is circled. Code 1 is also circled since James owns cattle.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member owns poultry.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OWNDONKHR","name":"BW1991A_OWNDONKHR","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"146","loc_end_pos":"146","loc_width":"1","loc_rec_seg_no":null,"labl":"Donkeys or horses owned by household members","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>1. Does any member of this household own...?<\/p>\n<div class=\"i1\">[] 1 Cattle<br \/>[] 2 Goats<br \/>[] 4 Sheep<br \/>[] 8 Pigs<br \/>[] 16 Poultry<br \/>[] 32 Donkeys\/horses<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E1: Ownership of Livestock<\/span><\/p>\n\n<p>Does any member of this household own:<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats<br \/>4 Sheep<br \/>8 Pigs<br \/>16 Poultry<br \/>32 Donkeys\/Horses<\/div><p>Circle the appropriate answer code(s), if any member of the household owns any of the above listed livestock.<\/p>\n\n<p>If none of the above applies, write 0 in the space below the response codes, but not in the shaded area. For example, if a household owns three goats and a few chickens you would put a ring around 2 (goats) and around 16 (poultry).<\/p>\n\n<p><span class=\"pg\">[p.46]<\/span><\/p>\n\n<p>In the sample questionnaire in paragraph 133, James owns some cattle, Thembe owns some goats and Lorato owns some poultry in Botswana. Since Thembe is only a visitor, the fact that she owns goats is not recorded in column E1. However, Lorato is a household member, and, since she owns poultry in Botswana, the code 16 is circled. Code 1 is also circled since James owns cattle.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member owns donkeys or horses.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNTMAIZE","name":"BW1991A_PLNTMAIZE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"147","loc_end_pos":"147","loc_width":"1","loc_rec_seg_no":null,"labl":"Maize planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted maize during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNMILLET","name":"BW1991A_PLNMILLET","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"148","loc_end_pos":"148","loc_width":"1","loc_rec_seg_no":null,"labl":"Millet planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted millet during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNSORGHM","name":"BW1991A_PLNSORGHM","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"149","loc_end_pos":"149","loc_width":"1","loc_rec_seg_no":null,"labl":"Sorghum planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted sorghum during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNBEANS","name":"BW1991A_PLNBEANS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"150","loc_end_pos":"150","loc_width":"1","loc_rec_seg_no":null,"labl":"Beans planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted beans during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNVEGT","name":"BW1991A_PLNVEGT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"151","loc_end_pos":"151","loc_width":"1","loc_rec_seg_no":null,"labl":"Vegetables planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted vegetables during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNFRUITS","name":"BW1991A_PLNFRUITS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"152","loc_end_pos":"152","loc_width":"1","loc_rec_seg_no":null,"labl":"Fruits planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted fruits during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNPEANUT","name":"BW1991A_PLNPEANUT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"153","loc_end_pos":"153","loc_width":"1","loc_rec_seg_no":null,"labl":"Peanut planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted peanuts during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNWTRMLN","name":"BW1991A_PLNWTRMLN","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"154","loc_end_pos":"154","loc_width":"1","loc_rec_seg_no":null,"labl":"Watermelon planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted watermelons during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNPMPKIN","name":"BW1991A_PLNPMPKIN","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"155","loc_end_pos":"155","loc_width":"1","loc_rec_seg_no":null,"labl":"Pumpkin planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted pumpkins during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PLNSWTRD","name":"BW1991A_PLNSWTRD","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"156","loc_end_pos":"156","loc_width":"1","loc_rec_seg_no":null,"labl":"Sweet reeds planted during the last agricultural season","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>2. During the last agricultural season, did any member of this household plant...?<\/p>\n<div class=\"i1\">[] 1 Maize <br \/>[] 2 Millet <br \/>[] 4 Sorghum <br \/>[] 8 Beans <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E2: Planting of Crops<\/span><\/p>\n\n<p>During the last agricultural season, did any member of this household plant:<\/p>\n<div class=\"i1\">1 Maize<br \/>2 Millet<br \/>3 Sorghum<br \/>4 Beans<\/div><p>Circle the appropriate answer code(s), if during the past agricultural season any member of the household 'planted any of the above, Write down the name(s) of any other crop(s) planted but not listed (e.g. watermelon, sweet reeds), If they planted nothing at all, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, Anne planted melons, the word \"melons\" is written beneath the category \"Other (specify) \".","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member planted sweet reeds during the last agricultural season.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_LANDBOARD","name":"BW1991A_LANDBOARD","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"157","loc_end_pos":"157","loc_width":"1","loc_rec_seg_no":null,"labl":"Land for grazing or planting was obtained by land board","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>3. How was the land for grazing and\/or planting obtained?<\/p>\n<div class=\"i1\">[] 1 Land board <br \/>[] 2 Tribal\/communal<br \/>[] 4 Inheritance <br \/>[] 8 Freehold <br \/>[] 16 Lease\/TGLP <br \/>[] 32 Syndicate <br \/>[] 64 Employer\/relatives, etc. <br \/>[] 128 Self allocated<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E3: Land Acquisition<\/span><\/p>\n\n<p>How was the land for grazing and\/or planting obtained?<\/p>\n\n<p>If a member of the household (excluding visitors) owns any livestock or planted anything, then ask how the land for grazing and\/or planting was obtained, Circle the appropriate answer code(s):<\/p>\n<div class=\"i1\">l Landboard<br \/>2 Tribal\/Communal<br \/>4 Inheritance<br \/>8 Freehold (land held in absolute ownership)<br \/>16 Lease\/TGLP (land held in ownership for a specified period of time)<br \/>32 Syndicate<br \/>64 Employer\/Relatives etc.,<br \/>128 Self-Allocation<\/div><p>If none of the above applies enter 0, but not in the shaded area,<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household inherited the land used for planting and the land used for grazing was communal, therefore both 2 and 4 are circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the land for grazing or planting was obtained through a land board.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_TRIBAL","name":"BW1991A_TRIBAL","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"158","loc_end_pos":"158","loc_width":"1","loc_rec_seg_no":null,"labl":"Land for grazing or planting was obtained by the tribe or community","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>3. How was the land for grazing and\/or planting obtained?<\/p>\n<div class=\"i1\">[] 1 Land board <br \/>[] 2 Tribal\/communal<br \/>[] 4 Inheritance <br \/>[] 8 Freehold <br \/>[] 16 Lease\/TGLP <br \/>[] 32 Syndicate <br \/>[] 64 Employer\/relatives, etc. <br \/>[] 128 Self allocated<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E3: Land Acquisition<\/span><\/p>\n\n<p>How was the land for grazing and\/or planting obtained?<\/p>\n\n<p>If a member of the household (excluding visitors) owns any livestock or planted anything, then ask how the land for grazing and\/or planting was obtained, Circle the appropriate answer code(s):<\/p>\n<div class=\"i1\">l Landboard<br \/>2 Tribal\/Communal<br \/>4 Inheritance<br \/>8 Freehold (land held in absolute ownership)<br \/>16 Lease\/TGLP (land held in ownership for a specified period of time)<br \/>32 Syndicate<br \/>64 Employer\/Relatives etc.,<br \/>128 Self-Allocation<\/div><p>If none of the above applies enter 0, but not in the shaded area,<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household inherited the land used for planting and the land used for grazing was communal, therefore both 2 and 4 are circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the land for grazing or planting was obtained through the tribe or community.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_INHERITANCE","name":"BW1991A_INHERITANCE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"159","loc_end_pos":"159","loc_width":"1","loc_rec_seg_no":null,"labl":"Land for grazing or planting was obtained by inheritance","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>3. How was the land for grazing and\/or planting obtained?<\/p>\n<div class=\"i1\">[] 1 Land board <br \/>[] 2 Tribal\/communal<br \/>[] 4 Inheritance <br \/>[] 8 Freehold <br \/>[] 16 Lease\/TGLP <br \/>[] 32 Syndicate <br \/>[] 64 Employer\/relatives, etc. <br \/>[] 128 Self allocated<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E3: Land Acquisition<\/span><\/p>\n\n<p>How was the land for grazing and\/or planting obtained?<\/p>\n\n<p>If a member of the household (excluding visitors) owns any livestock or planted anything, then ask how the land for grazing and\/or planting was obtained, Circle the appropriate answer code(s):<\/p>\n<div class=\"i1\">l Landboard<br \/>2 Tribal\/Communal<br \/>4 Inheritance<br \/>8 Freehold (land held in absolute ownership)<br \/>16 Lease\/TGLP (land held in ownership for a specified period of time)<br \/>32 Syndicate<br \/>64 Employer\/Relatives etc.,<br \/>128 Self-Allocation<\/div><p>If none of the above applies enter 0, but not in the shaded area,<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household inherited the land used for planting and the land used for grazing was communal, therefore both 2 and 4 are circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the land for grazing or planting was obtained by inheritance.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_FREEHOLD","name":"BW1991A_FREEHOLD","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"160","loc_end_pos":"160","loc_width":"1","loc_rec_seg_no":null,"labl":"Land for grazing or planting was obtained by freehold","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>3. How was the land for grazing and\/or planting obtained?<\/p>\n<div class=\"i1\">[] 1 Land board <br \/>[] 2 Tribal\/communal<br \/>[] 4 Inheritance <br \/>[] 8 Freehold <br \/>[] 16 Lease\/TGLP <br \/>[] 32 Syndicate <br \/>[] 64 Employer\/relatives, etc. <br \/>[] 128 Self allocated<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E3: Land Acquisition<\/span><\/p>\n\n<p>How was the land for grazing and\/or planting obtained?<\/p>\n\n<p>If a member of the household (excluding visitors) owns any livestock or planted anything, then ask how the land for grazing and\/or planting was obtained, Circle the appropriate answer code(s):<\/p>\n<div class=\"i1\">l Landboard<br \/>2 Tribal\/Communal<br \/>4 Inheritance<br \/>8 Freehold (land held in absolute ownership)<br \/>16 Lease\/TGLP (land held in ownership for a specified period of time)<br \/>32 Syndicate<br \/>64 Employer\/Relatives etc.,<br \/>128 Self-Allocation<\/div><p>If none of the above applies enter 0, but not in the shaded area,<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household inherited the land used for planting and the land used for grazing was communal, therefore both 2 and 4 are circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the land for grazing or planting was obtained by freehold.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_LEASETGLP","name":"BW1991A_LEASETGLP","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"161","loc_end_pos":"161","loc_width":"1","loc_rec_seg_no":null,"labl":"Land for grazing or planting was obtained by lease or Tribal Grazing Land Policy (TGLP)","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>3. How was the land for grazing and\/or planting obtained?<\/p>\n<div class=\"i1\">[] 1 Land board <br \/>[] 2 Tribal\/communal<br \/>[] 4 Inheritance <br \/>[] 8 Freehold <br \/>[] 16 Lease\/TGLP <br \/>[] 32 Syndicate <br \/>[] 64 Employer\/relatives, etc. <br \/>[] 128 Self allocated<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E3: Land Acquisition<\/span><\/p>\n\n<p>How was the land for grazing and\/or planting obtained?<\/p>\n\n<p>If a member of the household (excluding visitors) owns any livestock or planted anything, then ask how the land for grazing and\/or planting was obtained, Circle the appropriate answer code(s):<\/p>\n<div class=\"i1\">l Landboard<br \/>2 Tribal\/Communal<br \/>4 Inheritance<br \/>8 Freehold (land held in absolute ownership)<br \/>16 Lease\/TGLP (land held in ownership for a specified period of time)<br \/>32 Syndicate<br \/>64 Employer\/Relatives etc.,<br \/>128 Self-Allocation<\/div><p>If none of the above applies enter 0, but not in the shaded area,<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household inherited the land used for planting and the land used for grazing was communal, therefore both 2 and 4 are circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the land for grazing or planting was obtained by lease or Tribal Grazing Land Policy (TGLP).","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SYNDICATE","name":"BW1991A_SYNDICATE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"162","loc_end_pos":"162","loc_width":"1","loc_rec_seg_no":null,"labl":"Land for grazing or planting was obtained by syndicate","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>3. How was the land for grazing and\/or planting obtained?<\/p>\n<div class=\"i1\">[] 1 Land board <br \/>[] 2 Tribal\/communal<br \/>[] 4 Inheritance <br \/>[] 8 Freehold <br \/>[] 16 Lease\/TGLP <br \/>[] 32 Syndicate <br \/>[] 64 Employer\/relatives, etc. <br \/>[] 128 Self allocated<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E3: Land Acquisition<\/span><\/p>\n\n<p>How was the land for grazing and\/or planting obtained?<\/p>\n\n<p>If a member of the household (excluding visitors) owns any livestock or planted anything, then ask how the land for grazing and\/or planting was obtained, Circle the appropriate answer code(s):<\/p>\n<div class=\"i1\">l Landboard<br \/>2 Tribal\/Communal<br \/>4 Inheritance<br \/>8 Freehold (land held in absolute ownership)<br \/>16 Lease\/TGLP (land held in ownership for a specified period of time)<br \/>32 Syndicate<br \/>64 Employer\/Relatives etc.,<br \/>128 Self-Allocation<\/div><p>If none of the above applies enter 0, but not in the shaded area,<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household inherited the land used for planting and the land used for grazing was communal, therefore both 2 and 4 are circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the land for grazing or planting was obtained through a syndicate.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_EMPLOYER","name":"BW1991A_EMPLOYER","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"163","loc_end_pos":"163","loc_width":"1","loc_rec_seg_no":null,"labl":"Land for grazing or planting was obtained by employer, relatives, or similar","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>3. How was the land for grazing and\/or planting obtained?<\/p>\n<div class=\"i1\">[] 1 Land board <br \/>[] 2 Tribal\/communal<br \/>[] 4 Inheritance <br \/>[] 8 Freehold <br \/>[] 16 Lease\/TGLP <br \/>[] 32 Syndicate <br \/>[] 64 Employer\/relatives, etc. <br \/>[] 128 Self allocated<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E3: Land Acquisition<\/span><\/p>\n\n<p>How was the land for grazing and\/or planting obtained?<\/p>\n\n<p>If a member of the household (excluding visitors) owns any livestock or planted anything, then ask how the land for grazing and\/or planting was obtained, Circle the appropriate answer code(s):<\/p>\n<div class=\"i1\">l Landboard<br \/>2 Tribal\/Communal<br \/>4 Inheritance<br \/>8 Freehold (land held in absolute ownership)<br \/>16 Lease\/TGLP (land held in ownership for a specified period of time)<br \/>32 Syndicate<br \/>64 Employer\/Relatives etc.,<br \/>128 Self-Allocation<\/div><p>If none of the above applies enter 0, but not in the shaded area,<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household inherited the land used for planting and the land used for grazing was communal, therefore both 2 and 4 are circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the land for grazing or planting was obtained through an employer, relatives, or another method.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SELFALLOC","name":"BW1991A_SELFALLOC","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"164","loc_end_pos":"164","loc_width":"1","loc_rec_seg_no":null,"labl":"Land for grazing or planting was obtained by self allocation","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Agriculture and land acquisition<\/span><\/p>\n\n<p>3. How was the land for grazing and\/or planting obtained?<\/p>\n<div class=\"i1\">[] 1 Land board <br \/>[] 2 Tribal\/communal<br \/>[] 4 Inheritance <br \/>[] 8 Freehold <br \/>[] 16 Lease\/TGLP <br \/>[] 32 Syndicate <br \/>[] 64 Employer\/relatives, etc. <br \/>[] 128 Self allocated<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E3: Land Acquisition<\/span><\/p>\n\n<p>How was the land for grazing and\/or planting obtained?<\/p>\n\n<p>If a member of the household (excluding visitors) owns any livestock or planted anything, then ask how the land for grazing and\/or planting was obtained, Circle the appropriate answer code(s):<\/p>\n<div class=\"i1\">l Landboard<br \/>2 Tribal\/Communal<br \/>4 Inheritance<br \/>8 Freehold (land held in absolute ownership)<br \/>16 Lease\/TGLP (land held in ownership for a specified period of time)<br \/>32 Syndicate<br \/>64 Employer\/Relatives etc.,<br \/>128 Self-Allocation<\/div><p>If none of the above applies enter 0, but not in the shaded area,<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household inherited the land used for planting and the land used for grazing was communal, therefore both 2 and 4 are circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the land for grazing or planting was obtained by self-allocation.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SALECATTLE","name":"BW1991A_SALECATTLE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"165","loc_end_pos":"165","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from cattle received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(a). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Cattle <br \/>[] 2 Goats\/sheep <br \/>[] 4 Poultry <br \/>[] 8 Maize <br \/>[] 16 Millet\/sorghum<br \/>[] 32 Fish <br \/>[] 64 Thatch\/poles\/reeds <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from cattle since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SALEGTSSH","name":"BW1991A_SALEGTSSH","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"166","loc_end_pos":"166","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from goats or sheep received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(a). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Cattle <br \/>[] 2 Goats\/sheep <br \/>[] 4 Poultry <br \/>[] 8 Maize <br \/>[] 16 Millet\/sorghum<br \/>[] 32 Fish <br \/>[] 64 Thatch\/poles\/reeds <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from goats or sheep since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SALEPOULTR","name":"BW1991A_SALEPOULTR","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"167","loc_end_pos":"167","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from poultry received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(a). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Cattle <br \/>[] 2 Goats\/sheep <br \/>[] 4 Poultry <br \/>[] 8 Maize <br \/>[] 16 Millet\/sorghum<br \/>[] 32 Fish <br \/>[] 64 Thatch\/poles\/reeds <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from poultry since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SMAIZE","name":"BW1991A_SMAIZE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"168","loc_end_pos":"168","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from maize received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(a). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Cattle <br \/>[] 2 Goats\/sheep <br \/>[] 4 Poultry <br \/>[] 8 Maize <br \/>[] 16 Millet\/sorghum<br \/>[] 32 Fish <br \/>[] 64 Thatch\/poles\/reeds <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from maize since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SMLTSR","name":"BW1991A_SMLTSR","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"169","loc_end_pos":"169","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from millet or sorghum received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(a). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Cattle <br \/>[] 2 Goats\/sheep <br \/>[] 4 Poultry <br \/>[] 8 Maize <br \/>[] 16 Millet\/sorghum<br \/>[] 32 Fish <br \/>[] 64 Thatch\/poles\/reeds <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from millet or sorghum since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SALEFISH","name":"BW1991A_SALEFISH","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"170","loc_end_pos":"170","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from fish received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(a). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Cattle <br \/>[] 2 Goats\/sheep <br \/>[] 4 Poultry <br \/>[] 8 Maize <br \/>[] 16 Millet\/sorghum<br \/>[] 32 Fish <br \/>[] 64 Thatch\/poles\/reeds <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash for fish since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_STHPOLE","name":"BW1991A_STHPOLE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"171","loc_end_pos":"171","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from thatch, poles, or reeds received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(a). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Cattle <br \/>[] 2 Goats\/sheep <br \/>[] 4 Poultry <br \/>[] 8 Maize <br \/>[] 16 Millet\/sorghum<br \/>[] 32 Fish <br \/>[] 64 Thatch\/poles\/reeds <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from thatch, poles, or reeds since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SFWOOD","name":"BW1991A_SFWOOD","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"172","loc_end_pos":"172","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from firewood received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(a). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Cattle <br \/>[] 2 Goats\/sheep <br \/>[] 4 Poultry <br \/>[] 8 Maize <br \/>[] 16 Millet\/sorghum<br \/>[] 32 Fish <br \/>[] 64 Thatch\/poles\/reeds <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from firewood since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OTHCASH","name":"BW1991A_OTHCASH","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"173","loc_end_pos":"173","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from other cash activities received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(a). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Cattle <br \/>[] 2 Goats\/sheep <br \/>[] 4 Poultry <br \/>[] 8 Maize <br \/>[] 16 Millet\/sorghum<br \/>[] 32 Fish <br \/>[] 64 Thatch\/poles\/reeds <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from other cash activities since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SALEPHANE","name":"BW1991A_SALEPHANE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"174","loc_end_pos":"174","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from phane received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(b). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Phane <br \/>[] 2 Beer <br \/>[] 4 Craftwork <br \/>[] 8 Clothes <br \/>[] 16 Cooked food <br \/>[] 32 Other trade <br \/>[] 64 Threshing\/stamping <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from phane since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SALEBEER","name":"BW1991A_SALEBEER","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"175","loc_end_pos":"175","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from beer received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(b). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Phane <br \/>[] 2 Beer <br \/>[] 4 Craftwork <br \/>[] 8 Clothes <br \/>[] 16 Cooked food <br \/>[] 32 Other trade <br \/>[] 64 Threshing\/stamping <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from beer since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_CRAFTWORK","name":"BW1991A_CRAFTWORK","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"176","loc_end_pos":"176","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from craftwork received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p>4(b). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Phane <br \/>[] 2 Beer <br \/>[] 4 Craftwork <br \/>[] 8 Clothes <br \/>[] 16 Cooked food <br \/>[] 32 Other trade <br \/>[] 64 Threshing\/stamping <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from craftwork since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SALECLOTH","name":"BW1991A_SALECLOTH","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"177","loc_end_pos":"177","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from clothes received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(b). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Phane <br \/>[] 2 Beer <br \/>[] 4 Craftwork <br \/>[] 8 Clothes <br \/>[] 16 Cooked food <br \/>[] 32 Other trade <br \/>[] 64 Threshing\/stamping <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from clothes since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_SALECKFD","name":"BW1991A_SALECKFD","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"178","loc_end_pos":"178","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from cooked food received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(b). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Phane <br \/>[] 2 Beer <br \/>[] 4 Craftwork <br \/>[] 8 Clothes <br \/>[] 16 Cooked food <br \/>[] 32 Other trade <br \/>[] 64 Threshing\/stamping <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from cooked food since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OTHTRADE","name":"BW1991A_OTHTRADE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"179","loc_end_pos":"179","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from other trade received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(b). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Phane <br \/>[] 2 Beer <br \/>[] 4 Craftwork <br \/>[] 8 Clothes <br \/>[] 16 Cooked food <br \/>[] 32 Other trade <br \/>[] 64 Threshing\/stamping <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from other trade since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_THRESHING","name":"BW1991A_THRESHING","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"180","loc_end_pos":"180","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from threshing or stamping received ssince August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(b). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Phane <br \/>[] 2 Beer <br \/>[] 4 Craftwork <br \/>[] 8 Clothes <br \/>[] 16 Cooked food <br \/>[] 32 Other trade <br \/>[] 64 Threshing\/stamping <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from threshing or stamping since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_EMPLT","name":"BW1991A_EMPLT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"181","loc_end_pos":"181","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from employment received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(b). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Phane <br \/>[] 2 Beer <br \/>[] 4 Craftwork <br \/>[] 8 Clothes <br \/>[] 16 Cooked food <br \/>[] 32 Other trade <br \/>[] 64 Threshing\/stamping <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from employment since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OTHCASH2","name":"BW1991A_OTHCASH2","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"182","loc_end_pos":"182","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from other cash activity received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Household cash activities<\/span><\/p>\n\n<p>4(b). Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Phane <br \/>[] 2 Beer <br \/>[] 4 Craftwork <br \/>[] 8 Clothes <br \/>[] 16 Cooked food <br \/>[] 32 Other trade <br \/>[] 64 Threshing\/stamping <br \/>[] 128 Firewood <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E4: Cash Sales<\/span><\/p>\n\n<p>Since August 1990, did any member of this household sell<\/p>\n<div class=\"i1\">1 Cattle<br \/>2 Goats\/Sheep<br \/>4 Poultry<br \/>8 Maize<br \/>16 Sorghum\/Millet<br \/>32 Wood<br \/>64 Thatch\/Poles\/Reeds<br \/>128 Phane<br \/>Other (specify)<\/div><span class=\"pg\">[p.47]<\/span><\/p>\n\n<p>Circle the appropriate answer code(s) if, since August, 1990, any member of the household (excluding visitors) earned money from selling any of the above.<\/p>\n\n<p>Write down any other products of livestock, agriculture, forestry, fishing or gathering sold.<\/p>\n\n<p>If nothing was sold, write 0 in the space below the codes, but not in the shaded area.<\/p>\n\n<p>In the sample questionnaire in paragraph133, the household did not sell anything, so 0 is written in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from other cash activity since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_REMINS","name":"BW1991A_REMINS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"183","loc_end_pos":"183","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from remittances inside Botswana received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Other cash receipts<\/span><\/p>\n\n<p>5. Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Remittances inside Botswana <br \/>[] 2 Remittances outside Botswana <br \/>[] 4 Pension <br \/>[] 8 Rents <br \/>[] 16 Interest <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E5: Cash Receipts<\/span><\/p>\n\n<p>Since August 1990, did any member of this household receive:<\/p>\n<div class=\"i1\">1 Pension<br \/>2 Remittances (from mines, Tirelo Sechaba, relatives, etc.)<br \/>4 Rent (from land\/property)<br \/>8 Interest\/Dividend\/Bonus<br \/>16 Aid\/Relief<\/div><p>In this section, we are interested in finding out whether the household received any cash payment as unearned income during the reference period. Unearned income refers to payments made to the household other than from employment, business profits or sale of one's own produce. Salaries and wages paid to members listed in part a above should not be included in answer to this question.<\/p>\n\n<p>The most common types of unearned income are as follows:<\/p>\n<div class=\"i1\">1 Pension: This is a payment, usually on a regular basis, by a previous employer to a worker who has retired or is no longer working for other reasons. For example, certain Government employees are entitled to stop work and draw their pensions on attaining the age of 45 years.<br \/><br \/>2 Remittances: This includes cash gifts and transfers from relatives and friends working either abroad (e.g. South African mines, farms, etc.) or elsewhere in the country. It also includes family and child maintenance and payments to the household on account of the Tirelo Sechaba participants. It should be noted that cash remittances refer not only to cash which has been sent by post or mail but also to any cash transfers which have been delivered by hand or in some other way - as long as it is from a person in another household, other than the one being interviewed. Distance between households affected is immaterial. The transfer must be permanent. Cash loans to the household must not be included,<br \/><br \/>4 Rent: A household may receive payment for any property it lets out, such as a house or field, It should also include payments received for allowing its donkeys\/mules\/oxen to be used for ploughing.<br \/><br \/>8 Interest\/Dividend\/Bonus: Interest is money paid by a bank on a deposit account, while dividends\/bonuses are payments from the profits of a business to shareholders or investors. For example, bonuses may be received from a co-operative society or BMC.<br \/><br \/><span class=\"pg\">[p.48]<\/span><br \/><br \/>16 Aid\/Relief: This refers to cash payments made directly by Government (o; any organisation) to alleviate the effects of drought or to assist the household to participate in agricultural activities.<\/div><p>Circle the appropriate answer code(s) if, since August 1990, any member of the household received money from these sources.<\/p>\n\n<p>If none of the above applies, enter 0.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household received some remittances from their daughter Lorato in South Africa. Therefore 2 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from remittances inside Botswana since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_REMOUTS","name":"BW1991A_REMOUTS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"184","loc_end_pos":"184","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from remittances outside Botswana received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Other cash receipts<\/span><\/p>\n\n<p>5. Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Remittances inside Botswana <br \/>[] 2 Remittances outside Botswana <br \/>[] 4 Pension <br \/>[] 8 Rents <br \/>[] 16 Interest <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E5: Cash Receipts<\/span><\/p>\n\n<p>Since August 1990, did any member of this household receive:<\/p>\n<div class=\"i1\">1 Pension<br \/>2 Remittances (from mines, Tirelo Sechaba, relatives, etc.)<br \/>4 Rent (from land\/property)<br \/>8 Interest\/Dividend\/Bonus<br \/>16 Aid\/Relief<\/div><p>In this section, we are interested in finding out whether the household received any cash payment as unearned income during the reference period. Unearned income refers to payments made to the household other than from employment, business profits or sale of one's own produce. Salaries and wages paid to members listed in part a above should not be included in answer to this question.<\/p>\n\n<p>The most common types of unearned income are as follows:<\/p>\n<div class=\"i1\">1 Pension: This is a payment, usually on a regular basis, by a previous employer to a worker who has retired or is no longer working for other reasons. For example, certain Government employees are entitled to stop work and draw their pensions on attaining the age of 45 years.<br \/><br \/>2 Remittances: This includes cash gifts and transfers from relatives and friends working either abroad (e.g. South African mines, farms, etc.) or elsewhere in the country. It also includes family and child maintenance and payments to the household on account of the Tirelo Sechaba participants. It should be noted that cash remittances refer not only to cash which has been sent by post or mail but also to any cash transfers which have been delivered by hand or in some other way - as long as it is from a person in another household, other than the one being interviewed. Distance between households affected is immaterial. The transfer must be permanent. Cash loans to the household must not be included,<br \/><br \/>4 Rent: A household may receive payment for any property it lets out, such as a house or field, It should also include payments received for allowing its donkeys\/mules\/oxen to be used for ploughing.<br \/><br \/>8 Interest\/Dividend\/Bonus: Interest is money paid by a bank on a deposit account, while dividends\/bonuses are payments from the profits of a business to shareholders or investors. For example, bonuses may be received from a co-operative society or BMC.<br \/><br \/><span class=\"pg\">[p.48]<\/span><br \/><br \/>16 Aid\/Relief: This refers to cash payments made directly by Government (o; any organisation) to alleviate the effects of drought or to assist the household to participate in agricultural activities.<\/div><p>Circle the appropriate answer code(s) if, since August 1990, any member of the household received money from these sources.<\/p>\n\n<p>If none of the above applies, enter 0.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household received some remittances from their daughter Lorato in South Africa. Therefore 2 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from remittances outside Botswana since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_PENSION","name":"BW1991A_PENSION","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"185","loc_end_pos":"185","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from pension received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Other cash receipts<\/span><\/p>\n\n<p>5. Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Remittances inside Botswana <br \/>[] 2 Remittances outside Botswana <br \/>[] 4 Pension <br \/>[] 8 Rents <br \/>[] 16 Interest <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E5: Cash Receipts<\/span><\/p>\n\n<p>Since August 1990, did any member of this household receive:<\/p>\n<div class=\"i1\">1 Pension<br \/>2 Remittances (from mines, Tirelo Sechaba, relatives, etc.)<br \/>4 Rent (from land\/property)<br \/>8 Interest\/Dividend\/Bonus<br \/>16 Aid\/Relief<\/div><p>In this section, we are interested in finding out whether the household received any cash payment as unearned income during the reference period. Unearned income refers to payments made to the household other than from employment, business profits or sale of one's own produce. Salaries and wages paid to members listed in part a above should not be included in answer to this question.<\/p>\n\n<p>The most common types of unearned income are as follows:<\/p>\n<div class=\"i1\">1 Pension: This is a payment, usually on a regular basis, by a previous employer to a worker who has retired or is no longer working for other reasons. For example, certain Government employees are entitled to stop work and draw their pensions on attaining the age of 45 years.<br \/><br \/>2 Remittances: This includes cash gifts and transfers from relatives and friends working either abroad (e.g. South African mines, farms, etc.) or elsewhere in the country. It also includes family and child maintenance and payments to the household on account of the Tirelo Sechaba participants. It should be noted that cash remittances refer not only to cash which has been sent by post or mail but also to any cash transfers which have been delivered by hand or in some other way - as long as it is from a person in another household, other than the one being interviewed. Distance between households affected is immaterial. The transfer must be permanent. Cash loans to the household must not be included,<br \/><br \/>4 Rent: A household may receive payment for any property it lets out, such as a house or field, It should also include payments received for allowing its donkeys\/mules\/oxen to be used for ploughing.<br \/><br \/>8 Interest\/Dividend\/Bonus: Interest is money paid by a bank on a deposit account, while dividends\/bonuses are payments from the profits of a business to shareholders or investors. For example, bonuses may be received from a co-operative society or BMC.<br \/><br \/><span class=\"pg\">[p.48]<\/span><br \/><br \/>16 Aid\/Relief: This refers to cash payments made directly by Government (o; any organisation) to alleviate the effects of drought or to assist the household to participate in agricultural activities.<\/div><p>Circle the appropriate answer code(s) if, since August 1990, any member of the household received money from these sources.<\/p>\n\n<p>If none of the above applies, enter 0.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household received some remittances from their daughter Lorato in South Africa. Therefore 2 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from a pension since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_RENTS","name":"BW1991A_RENTS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"186","loc_end_pos":"186","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from rents received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Other cash receipts<\/span><\/p>\n\n<p>5. Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Remittances inside Botswana <br \/>[] 2 Remittances outside Botswana <br \/>[] 4 Pension <br \/>[] 8 Rents <br \/>[] 16 Interest <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E5: Cash Receipts<\/span><\/p>\n\n<p>Since August 1990, did any member of this household receive:<\/p>\n<div class=\"i1\">1 Pension<br \/>2 Remittances (from mines, Tirelo Sechaba, relatives, etc.)<br \/>4 Rent (from land\/property)<br \/>8 Interest\/Dividend\/Bonus<br \/>16 Aid\/Relief<\/div><p>In this section, we are interested in finding out whether the household received any cash payment as unearned income during the reference period. Unearned income refers to payments made to the household other than from employment, business profits or sale of one's own produce. Salaries and wages paid to members listed in part a above should not be included in answer to this question.<\/p>\n\n<p>The most common types of unearned income are as follows:<\/p>\n<div class=\"i1\">1 Pension: This is a payment, usually on a regular basis, by a previous employer to a worker who has retired or is no longer working for other reasons. For example, certain Government employees are entitled to stop work and draw their pensions on attaining the age of 45 years.<br \/><br \/>2 Remittances: This includes cash gifts and transfers from relatives and friends working either abroad (e.g. South African mines, farms, etc.) or elsewhere in the country. It also includes family and child maintenance and payments to the household on account of the Tirelo Sechaba participants. It should be noted that cash remittances refer not only to cash which has been sent by post or mail but also to any cash transfers which have been delivered by hand or in some other way - as long as it is from a person in another household, other than the one being interviewed. Distance between households affected is immaterial. The transfer must be permanent. Cash loans to the household must not be included,<br \/><br \/>4 Rent: A household may receive payment for any property it lets out, such as a house or field, It should also include payments received for allowing its donkeys\/mules\/oxen to be used for ploughing.<br \/><br \/>8 Interest\/Dividend\/Bonus: Interest is money paid by a bank on a deposit account, while dividends\/bonuses are payments from the profits of a business to shareholders or investors. For example, bonuses may be received from a co-operative society or BMC.<br \/><br \/><span class=\"pg\">[p.48]<\/span><br \/><br \/>16 Aid\/Relief: This refers to cash payments made directly by Government (o; any organisation) to alleviate the effects of drought or to assist the household to participate in agricultural activities.<\/div><p>Circle the appropriate answer code(s) if, since August 1990, any member of the household received money from these sources.<\/p>\n\n<p>If none of the above applies, enter 0.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household received some remittances from their daughter Lorato in South Africa. Therefore 2 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from rents since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_INTEREST","name":"BW1991A_INTEREST","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"187","loc_end_pos":"187","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from interest received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Other cash receipts<\/span><\/p>\n\n<p>5. Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Remittances inside Botswana <br \/>[] 2 Remittances outside Botswana <br \/>[] 4 Pension <br \/>[] 8 Rents <br \/>[] 16 Interest <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E5: Cash Receipts<\/span><\/p>\n\n<p>Since August 1990, did any member of this household receive:<\/p>\n<div class=\"i1\">1 Pension<br \/>2 Remittances (from mines, Tirelo Sechaba, relatives, etc.)<br \/>4 Rent (from land\/property)<br \/>8 Interest\/Dividend\/Bonus<br \/>16 Aid\/Relief<\/div><p>In this section, we are interested in finding out whether the household received any cash payment as unearned income during the reference period. Unearned income refers to payments made to the household other than from employment, business profits or sale of one's own produce. Salaries and wages paid to members listed in part a above should not be included in answer to this question.<\/p>\n\n<p>The most common types of unearned income are as follows:<\/p>\n<div class=\"i1\">1 Pension: This is a payment, usually on a regular basis, by a previous employer to a worker who has retired or is no longer working for other reasons. For example, certain Government employees are entitled to stop work and draw their pensions on attaining the age of 45 years.<br \/><br \/>2 Remittances: This includes cash gifts and transfers from relatives and friends working either abroad (e.g. South African mines, farms, etc.) or elsewhere in the country. It also includes family and child maintenance and payments to the household on account of the Tirelo Sechaba participants. It should be noted that cash remittances refer not only to cash which has been sent by post or mail but also to any cash transfers which have been delivered by hand or in some other way - as long as it is from a person in another household, other than the one being interviewed. Distance between households affected is immaterial. The transfer must be permanent. Cash loans to the household must not be included,<br \/><br \/>4 Rent: A household may receive payment for any property it lets out, such as a house or field, It should also include payments received for allowing its donkeys\/mules\/oxen to be used for ploughing.<br \/><br \/>8 Interest\/Dividend\/Bonus: Interest is money paid by a bank on a deposit account, while dividends\/bonuses are payments from the profits of a business to shareholders or investors. For example, bonuses may be received from a co-operative society or BMC.<br \/><br \/><span class=\"pg\">[p.48]<\/span><br \/><br \/>16 Aid\/Relief: This refers to cash payments made directly by Government (o; any organisation) to alleviate the effects of drought or to assist the household to participate in agricultural activities.<\/div><p>Circle the appropriate answer code(s) if, since August 1990, any member of the household received money from these sources.<\/p>\n\n<p>If none of the above applies, enter 0.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household received some remittances from their daughter Lorato in South Africa. Therefore 2 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from interest since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_AIDRELIEF","name":"BW1991A_AIDRELIEF","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"188","loc_end_pos":"188","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from aid relief received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Other cash receipts<\/span><\/p>\n\n<p>5. Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Remittances inside Botswana <br \/>[] 2 Remittances outside Botswana <br \/>[] 4 Pension <br \/>[] 8 Rents <br \/>[] 16 Interest <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E5: Cash Receipts<\/span><\/p>\n\n<p>Since August 1990, did any member of this household receive:<\/p>\n<div class=\"i1\">1 Pension<br \/>2 Remittances (from mines, Tirelo Sechaba, relatives, etc.)<br \/>4 Rent (from land\/property)<br \/>8 Interest\/Dividend\/Bonus<br \/>16 Aid\/Relief<\/div><p>In this section, we are interested in finding out whether the household received any cash payment as unearned income during the reference period. Unearned income refers to payments made to the household other than from employment, business profits or sale of one's own produce. Salaries and wages paid to members listed in part a above should not be included in answer to this question.<\/p>\n\n<p>The most common types of unearned income are as follows:<\/p>\n<div class=\"i1\">1 Pension: This is a payment, usually on a regular basis, by a previous employer to a worker who has retired or is no longer working for other reasons. For example, certain Government employees are entitled to stop work and draw their pensions on attaining the age of 45 years.<br \/><br \/>2 Remittances: This includes cash gifts and transfers from relatives and friends working either abroad (e.g. South African mines, farms, etc.) or elsewhere in the country. It also includes family and child maintenance and payments to the household on account of the Tirelo Sechaba participants. It should be noted that cash remittances refer not only to cash which has been sent by post or mail but also to any cash transfers which have been delivered by hand or in some other way - as long as it is from a person in another household, other than the one being interviewed. Distance between households affected is immaterial. The transfer must be permanent. Cash loans to the household must not be included,<br \/><br \/>4 Rent: A household may receive payment for any property it lets out, such as a house or field, It should also include payments received for allowing its donkeys\/mules\/oxen to be used for ploughing.<br \/><br \/>8 Interest\/Dividend\/Bonus: Interest is money paid by a bank on a deposit account, while dividends\/bonuses are payments from the profits of a business to shareholders or investors. For example, bonuses may be received from a co-operative society or BMC.<br \/><br \/><span class=\"pg\">[p.48]<\/span><br \/><br \/>16 Aid\/Relief: This refers to cash payments made directly by Government (o; any organisation) to alleviate the effects of drought or to assist the household to participate in agricultural activities.<\/div><p>Circle the appropriate answer code(s) if, since August 1990, any member of the household received money from these sources.<\/p>\n\n<p>If none of the above applies, enter 0.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household received some remittances from their daughter Lorato in South Africa. Therefore 2 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from aid relief since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OTHER","name":"BW1991A_OTHER","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"189","loc_end_pos":"189","loc_width":"1","loc_rec_seg_no":null,"labl":"Cash from other source received since August 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Questions 1-5, ask for all and circle only if \"yes\")<\/span><\/p>\n\n<p><span class=\"em\">Other cash receipts<\/span><\/p>\n\n<p>5. Since August 1990 did any household member receive cash from...?<\/p>\n<div class=\"i1\">[] 1 Remittances inside Botswana <br \/>[] 2 Remittances outside Botswana <br \/>[] 4 Pension <br \/>[] 8 Rents <br \/>[] 16 Interest <br \/>[] Other cash activities (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E5: Cash Receipts<\/span><\/p>\n\n<p>Since August 1990, did any member of this household receive:<\/p>\n<div class=\"i1\">1 Pension<br \/>2 Remittances (from mines, Tirelo Sechaba, relatives, etc.)<br \/>4 Rent (from land\/property)<br \/>8 Interest\/Dividend\/Bonus<br \/>16 Aid\/Relief<\/div><p>In this section, we are interested in finding out whether the household received any cash payment as unearned income during the reference period. Unearned income refers to payments made to the household other than from employment, business profits or sale of one's own produce. Salaries and wages paid to members listed in part a above should not be included in answer to this question.<\/p>\n\n<p>The most common types of unearned income are as follows:<\/p>\n<div class=\"i1\">1 Pension: This is a payment, usually on a regular basis, by a previous employer to a worker who has retired or is no longer working for other reasons. For example, certain Government employees are entitled to stop work and draw their pensions on attaining the age of 45 years.<br \/><br \/>2 Remittances: This includes cash gifts and transfers from relatives and friends working either abroad (e.g. South African mines, farms, etc.) or elsewhere in the country. It also includes family and child maintenance and payments to the household on account of the Tirelo Sechaba participants. It should be noted that cash remittances refer not only to cash which has been sent by post or mail but also to any cash transfers which have been delivered by hand or in some other way - as long as it is from a person in another household, other than the one being interviewed. Distance between households affected is immaterial. The transfer must be permanent. Cash loans to the household must not be included,<br \/><br \/>4 Rent: A household may receive payment for any property it lets out, such as a house or field, It should also include payments received for allowing its donkeys\/mules\/oxen to be used for ploughing.<br \/><br \/>8 Interest\/Dividend\/Bonus: Interest is money paid by a bank on a deposit account, while dividends\/bonuses are payments from the profits of a business to shareholders or investors. For example, bonuses may be received from a co-operative society or BMC.<br \/><br \/><span class=\"pg\">[p.48]<\/span><br \/><br \/>16 Aid\/Relief: This refers to cash payments made directly by Government (o; any organisation) to alleviate the effects of drought or to assist the household to participate in agricultural activities.<\/div><p>Circle the appropriate answer code(s) if, since August 1990, any member of the household received money from these sources.<\/p>\n\n<p>If none of the above applies, enter 0.<\/p>\n\n<p>In the sample questionnaire in paragraph 133, the household received some remittances from their daughter Lorato in South Africa. Therefore 2 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether any household member received cash from other source since August 1990.","var_catgry":[{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"0","labl":"No","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_DWTYPE","name":"BW1991A_DWTYPE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"190","loc_end_pos":"191","loc_width":"2","loc_rec_seg_no":null,"labl":"Type of housing unit","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p>6. Type of housing unit<\/p>\n<div class=\"i1\">[] 01 Detached house <br \/>[] 02 Lolwapa <br \/>[] 03 Semi-detached <br \/>[] 04 Town house\/terraced <br \/>[] 05 Flat <br \/>[] 06 Servants quarter <br \/>[] 07 Part of commercial <br \/>[] 08 Shack <br \/>[] 09 Movable <br \/>[] 10 Rooms<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E6: Type of Housing Unit<\/span><\/p>\n\n<p>This question refers to the housing unit in which the household you are enumerating lives. You will probably be able to answer this yourself simply from observation.<\/p>\n\n<p>There are different types of housing units, identified and listed below. Circle the appropriate code for the household you are enumerating:<\/p>\n<div class=\"i1\">1 Detached House: This is a building that stands on its own, without sharing a wall with any other building. In many cases a detached house will also be fenced. A traditional hut standing on its own is to be classified as a lolwapa.<br \/><br \/>2 Lolwapa: A lolwapa is a residential place comprising one or more huts and\/or other structures which are fenced together. Such malwapa are mostly found in rural areas.<br \/><span class=\"pg\">[p.49]<\/span><br \/>3 Semi-Detached House: This is a building that shares a wall with just one other building, but which has its own separate entrance. It may be one or two stories high.<br \/><br \/>4 Town\/Terraced House: This is a building, in a group of many others sharing walls on two sides; each building has its own entrance, and the building may be one, two or even three stories high. A \"town house\" does not mean a ''.house in town\". Note that the last unit at-the end of a Town\/Terraced House is not classified as Semi-Detached.<br \/><br \/>5 Flat: This is a unit of accommodation in a building. The building itself will usually have a main entrance and each flat will also have its own separate entrance; the building is usually 2 or more stories high, but each flat forms part of just one story or floor.<br \/><br \/>6 Servants' Quarter: This is a building that is specifically assigned for the use of domestic staff; the building may stand alone, it may be part of a garage or it may sometimes be connected to the main house by means of a covered corridor or common wall.<br \/><br \/>7 Commercial Building: Sometimes part of a commercial building is used as residential quarters, particularly by small shopkeepers. Factory buildings may occasionally be used as housing units either by security personnel or staff of building contractors.<br \/><br \/>8 Shack: This is a temporary shelter built of remnants of packing materials, e.g. cardboard boxes, polythene sheets, etc. Shacks are mostly found in urban areas.<br \/><br \/>9 Movable: This is a housing unit which can be transported from place to place either as a unit or in component parts. Examples are tents, tin-huts, portacamps, caravans, etc.<br \/><br \/>10 Room(s): In urban areas, particularly on SHHA plots and on low-cost plots, rooms in a building are sublet to tenants. Sometimes additional rooms are built on the plot for letting purposes.<\/div><p>In the sample questionnaire in paragraph 139, the Mulemba household lives in a lolwapa. Code 2 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the type of the housing unit.","var_catgry":[{"value":"01","labl":"Detached house","is_missing":null,"stats":[]},{"value":"02","labl":"Lolwapa","is_missing":null,"stats":[]},{"value":"03","labl":"Semi detached","is_missing":null,"stats":[]},{"value":"04","labl":"Town house or terraced","is_missing":null,"stats":[]},{"value":"05","labl":"Flat","is_missing":null,"stats":[]},{"value":"06","labl":"Servants quarter","is_missing":null,"stats":[]},{"value":"08","labl":"Shack","is_missing":null,"stats":[]},{"value":"09","labl":"Movable","is_missing":null,"stats":[]},{"value":"10","labl":"Rooms","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_HOUSEACQ","name":"BW1991A_HOUSEACQ","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"192","loc_end_pos":"193","loc_width":"2","loc_rec_seg_no":null,"labl":"Mean to acquire the housing unit or plot","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p>7. Acquisition<\/p>\n<div class=\"i1\">How was this housing unit\/plot acquired?<br \/><br \/>[] 01 Tribal authority <br \/>[] 02 Land board <br \/>[] 03 Purchase <br \/>[] 04 Inheritance <br \/>[] 05 SHHA <br \/>[] 06 Rent: BHC <br \/>[] 07 Rent: government <br \/>[] 08 Rent: council <br \/>[] 09 Rent: individual <br \/>[] 10 Rent: company <br \/>[] 11 Free <br \/>[] 12 Self allocation<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns E7: Method of Acquisition of Housing Unit\/Plot<\/span><\/p>\n\n<p>How was this housing unit\/plot acquired by the household?<\/p>\n\n<p>Enquire from the household what entitles them to live in this particular housing unit\/plot.<\/p>\n<div class=\"i1\">01 Tribal Authority<br \/>02 Landboard<br \/>03 Purchase<br \/>04 Inheritance<br \/>05 SHHA<br \/>06 Rent: BHC<br \/>07 Rent: Government<br \/>08 Rent: Council<br \/>09 Rent: Individual<br \/>10 Rent: Company<br \/>11 Free<br \/>12 Self-Allocation<\/div><span class=\"pg\">[p.50]<\/span>\n<br \/>Some of the above codes need further explanation:<\/p>\n<div class=\"i1\">01 Tribal Authority: These are housing units on plots which were allocated by tribal authorities a long time ago before the formation of landboards.<br \/><br \/>04 Inheritance: These are housing units on plots acquired by inheritance regardless of means of previous acquisition.<br \/><br \/>05 SHHA: These are housing units on plots which were acquired through the Self Help Housing Agency Scheme. Only households who own the SHHA plot on which they live are to be coded 05. Those living in a rented SHHA house (or room in a SHHA house) are to be coded 09.<br \/><br \/>Rent:<br \/>06 Circle code 06 for households renting from BHC<br \/>07 Circle code 07 for households renting from Government<br \/>08 Circle code 08 for households renting from Council<br \/>09 Circle code 09 for households renting from private individuals<br \/>10 Circle code 10 for households renting from companies and institutions other than Government<br \/><br \/>11 Free: Circle code 11 for households who don't own their housing unit but who don't pay any rent either. They may be living in a housing unit provided by relatives or an employer. Members of the Police Force or BDF and some domestic servants are examples of persons who obtain housing free from their employers.<br \/><br \/>12 Self-Allocation: Circle code 12 for households occupying tribal\/estate land or a freehold farm where no allocation was made by any authority or employers<\/div><p>In the sample questionnaire in paragraph 139, the plot on which the household stays was inherited, so code 04 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates how the housing unit was acquired.","var_catgry":[{"value":"01","labl":"Tribal authority","is_missing":null,"stats":[]},{"value":"02","labl":"Land board","is_missing":null,"stats":[]},{"value":"03","labl":"Purchase","is_missing":null,"stats":[]},{"value":"04","labl":"Inheritance","is_missing":null,"stats":[]},{"value":"05","labl":"SHHA (Self Help Housing Agency)","is_missing":null,"stats":[]},{"value":"06","labl":"Rent, BHC (Botswana Housing Corportation)","is_missing":null,"stats":[]},{"value":"07","labl":"Rent, government","is_missing":null,"stats":[]},{"value":"08","labl":"Rent, council","is_missing":null,"stats":[]},{"value":"09","labl":"Rent, individual","is_missing":null,"stats":[]},{"value":"10","labl":"Rent, company","is_missing":null,"stats":[]},{"value":"11","labl":"Free","is_missing":null,"stats":[]},{"value":"12","labl":"Self allocation","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_HOUSEDUR","name":"BW1991A_HOUSEDUR","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"194","loc_end_pos":"194","loc_width":"1","loc_rec_seg_no":null,"labl":"Time period that household lived in this housing unit","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p>8. Duration of occupancy<\/p>\n<div class=\"i1\">How long have you and your household lived in this housing unit? (Years)<br \/><br \/>[] 1 Under 1 <br \/>[] 2 1-3 <br \/>[] 3 4-6 <br \/>[] 4 7 and over<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E8: Duration of Occupancy<\/span><\/p>\n\n<p>How long have you and your household lived in this housing unit?<\/p>\n\n<p>Circle the appropriate answer code indicating how long the household has occupied this housing unit\/plot:<\/p>\n<div class=\"i1\">1 under 1 year<br \/>2 1 to 3 years<br \/>3 4 to 6 years<br \/>4 7 years aud over<\/div><p>In the sample questionnaire in paragraph 139, the household has only been living in the housing unit in which they were enumerated for 3 years, so 2 is circled.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates how long the household resided in the housing unit.","var_catgry":[{"value":"1","labl":"Under one year","is_missing":null,"stats":[]},{"value":"2","labl":"One to three years","is_missing":null,"stats":[]},{"value":"3","labl":"Four to six years","is_missing":null,"stats":[]},{"value":"4","labl":"Seven or more years","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Other Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_NOROOMS","name":"BW1991A_NOROOMS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"195","loc_end_pos":"196","loc_width":"2","loc_rec_seg_no":null,"labl":"Number of rooms","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p>9. Number of rooms<\/p>\n<div class=\"i1\">How many rooms are there in this housing unit (excluding kitchen, toilet, bathroom, garage and store)? ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E9: Number of Rooms in the Housing Unit<\/span><\/p>\n\n<p>How many rooms are here in this housing unit (excluding kitchen, toilet, bathroom, garage and store)?<\/p>\n\n<p><span class=\"pg\">[p.51]<\/span><\/p>\n\n<p>Enter, in the space provided in the questionnaire, the number of rooms used as sleeping accommodation, or as living rooms, in the housing unit where you are enumerating.<\/p>\n\n<p>The following are excluded: kitchen(s), toilet(s), bathroom(s), garage(s) and store(s).<\/p>\n\n<p>However, if one of these is also used for living or sleeping accommodation it should be included - for example, a room which is used both as kitchen and living room would be counted. You will find examples of these in some rented SHHA houses in the urban areas and in rondavels in the rural areas.<\/p>\n\n<p>If more than one household shares one living room, count it only once for one of the households. You cannot count it more than once as this would give an overestimate of the availability of accommodation in the country.<\/p>\n\n<p>In the sample questionnaire in paragraph 139, the lolwapa in which the household stays consists of three huts, so 03 is entered in the spaces provided.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of rooms in the housing unit.","var_catgry":[{"value":"00","labl":"0","is_missing":null,"stats":[]},{"value":"01","labl":"1","is_missing":null,"stats":[]},{"value":"02","labl":"2","is_missing":null,"stats":[]},{"value":"03","labl":"3","is_missing":null,"stats":[]},{"value":"04","labl":"4","is_missing":null,"stats":[]},{"value":"05","labl":"5","is_missing":null,"stats":[]},{"value":"06","labl":"6","is_missing":null,"stats":[]},{"value":"07","labl":"7","is_missing":null,"stats":[]},{"value":"08","labl":"8","is_missing":null,"stats":[]},{"value":"09","labl":"9","is_missing":null,"stats":[]},{"value":"10","labl":"10+","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_WATERSUP","name":"BW1991A_WATERSUP","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"197","loc_end_pos":"197","loc_width":"1","loc_rec_seg_no":null,"labl":"Principal source of water supply","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p>10. Water supply<\/p>\n<div class=\"i1\">What is the principal source of water supply for this household?<br \/><br \/>[] 1 Piped indoors or in own yard <br \/>[] 2 Stand pipe <br \/>[] 3 Borehole <br \/>[] 4 Well <br \/>[] 5 Flowing river <br \/>[] 6 Sand river <br \/>[] 7 Dam\/pan <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E10: Principal Source of Water Supply<\/span><\/p>\n\n<p>What is the principal source of water supply for this household?<\/p>\n\n<p>Circle the appropriate answer code for the principal source of water supply. If the particular source of water supply is not listed, write down the source under \"Other (specify)\". In cattlepost areas, where people have to travel long distances to obtain water from a standpipe, indicate in the \"Comments\" column that it is a cattlepost situation if the response is \"standpipe\".<\/p>\n<div class=\"i1\">1 Piped indoors or in own yard<br \/>2 Standpipe<br \/>3 Borehole<br \/>4 Well<br \/>5 Flowing river<br \/>6 Sand river<br \/>7 Dam\/Pan<br \/>Other (specify)<\/div>","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the principal source of water supply for the household.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"1","labl":"Piped indoors","is_missing":null,"stats":[]},{"value":"2","labl":"Standpipe","is_missing":null,"stats":[]},{"value":"3","labl":"Borehole","is_missing":null,"stats":[]},{"value":"4","labl":"Well","is_missing":null,"stats":[]},{"value":"5","labl":"Flowing river","is_missing":null,"stats":[]},{"value":"6","labl":"Sand river","is_missing":null,"stats":[]},{"value":"7","labl":"Dam or pan","is_missing":null,"stats":[]},{"value":"8","labl":"Other","is_missing":null,"stats":[]},{"value":"9","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_TOILET","name":"BW1991A_TOILET","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"198","loc_end_pos":"198","loc_width":"1","loc_rec_seg_no":null,"labl":"Type of toilet facility","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p>11. Toilet<\/p>\n<div class=\"i1\">What type of toilet facility is used by this household?<br \/><br \/>[] 1 Private flush toilet <br \/>[] 2 Private pit latrine <br \/>[] 3 Private neighbour's pit latrine <br \/>[] 4 Communal flush toilet <br \/>[] 5 Communal pit latrine <br \/>[] 6 Movable <br \/>[] 7 None<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E11: Toilet Facility <\/span><\/p>\n\n<p>Possible answers to this question are as follows:<\/p>\n<div class=\"i1\">Private:<br \/>1 Flush toilet<br \/>2 Pit latrine<br \/>3 Neighbour's Pit latrine<br \/><br \/>Communal:<br \/>4 Flush toilet<br \/>5 Pit latrine<br \/>6 Movable<br \/>7 None<\/div><p>A private toilet\/latrine is one which has been built by a private household for its use. A toilet\/latrine which is used by more than one household in the lolwapa is still private. They may \n<br \/><span class=\"pg\">[p.52]<\/span>\n<br \/>share it with neighbouring household(s) by private arrangement. If the toilet facility is private, circle 1, 2 or 3 as appropriate.<\/p>\n\n<p>A communal toilet\/latrine is one which has been built by the community or local authorities for use by members of the public. If the toilet facility is communal, circle 4 or 5 as appropriate. A movable toilet is a temporary and portable toilet facility often found on construction sites.<\/p>\n\n<p>If none of the above applies, meaning that the household either uses river or bush, circle 7.<\/p>\n\n<p>In the sample questionnaire in paragraph 139, the household gets its water from a well and they use a pit latrine. Code 4 is circled in column E10 and code 2 is circled in column E11.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the type of toilet facility used by the household.","var_catgry":[{"value":"1","labl":"Private flush toilet","is_missing":null,"stats":[]},{"value":"2","labl":"Private pit latrine","is_missing":null,"stats":[]},{"value":"3","labl":"Private neighbour's pit latrine","is_missing":null,"stats":[]},{"value":"4","labl":"Communal flush toilet","is_missing":null,"stats":[]},{"value":"5","labl":"Communal pit latrine","is_missing":null,"stats":[]},{"value":"6","labl":"Movable","is_missing":null,"stats":[]},{"value":"7","labl":"None","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_ROOF","name":"BW1991A_ROOF","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"199","loc_end_pos":"199","loc_width":"1","loc_rec_seg_no":null,"labl":"Material used for construction of the roof","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p><span class=\"em\">Ask for the material used for the construction of this housing unit (if <span class=\"lang\">Lolwapa<\/span>, take main house)<\/span><\/p>\n\n<p>12. Material used for construction of the roof<\/p>\n<div class=\"i1\">[] 1 Concrete\/slate\/blocks\/tiles <br \/>[] 2 Asbestos <br \/>[] 3 Iron\/zinc\/tin <br \/>[] 4 Thatch <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E12: Roof<\/span><\/p>\n\n<p>Observe the material of construction for the roof and circle the appropriate code:<\/p>\n<div class=\"i1\">1 Concrete\/Blocks\/Tiles\/Slate<br \/>2 Asbestos<br \/>3 Iron\/Zinc\/Tin<br \/>4 Thatch<br \/>Other (specify)<\/div><p>If none of the above applies, write the name of the material in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the material used for construction of the housing unit's roof.","var_catgry":[{"value":"1","labl":"Concrete, slabs, blocks or tiles","is_missing":null,"stats":[]},{"value":"2","labl":"Asbestos","is_missing":null,"stats":[]},{"value":"3","labl":"Iron, zinc or tin","is_missing":null,"stats":[]},{"value":"4","labl":"Thatch","is_missing":null,"stats":[]},{"value":"5","labl":"Other","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_WALLS","name":"BW1991A_WALLS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"200","loc_end_pos":"201","loc_width":"2","loc_rec_seg_no":null,"labl":"Material used for construction of the walls","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p><span class=\"em\">Ask for the material used for the construction of this housing unit (if <span class=\"lang\">Lolwapa<\/span>, take main house)<\/span><\/p>\n\n<p>13. Material used for construction of the walls<\/p>\n<div class=\"i1\">[] 1 Stones\/bricks\/blocks <br \/>[] 2 Asbestos <br \/>[] 3 Iron\/zinc\/tin <br \/>[] 4 Mud <br \/>[] 5 Mud and poles <br \/>[] 6 Mud and reeds <br \/>[] 7 Poles and reeds <br \/>[] 8 Mud, poles and reeds <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E13: Walls <\/span><\/p>\n\n<p>Observe the material of construction for the walls and circle the appropriate code:<\/p>\n<div class=\"i1\">1 Stones\/Bricks\/Blocks<br \/>2 Asbestos<br \/>3 Iron\/Zinc\/Tin<br \/>4 Mud <br \/>5 Mud and Poles<br \/>6 Mud and Reeds<br \/>7 Poles and Reeds<br \/>8 Mud, Poles and Reeds<br \/>Other (specify)<\/div><p>If none of the above applies write the name of the material in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the material used for construction of the housing unit's walls.","var_catgry":[{"value":"01","labl":"Stone, bricks or blocks","is_missing":null,"stats":[]},{"value":"02","labl":"Asbestos","is_missing":null,"stats":[]},{"value":"03","labl":"Iron, zinc or tin","is_missing":null,"stats":[]},{"value":"04","labl":"Mud","is_missing":null,"stats":[]},{"value":"05","labl":"Poles and mud","is_missing":null,"stats":[]},{"value":"06","labl":"Reeds and mud","is_missing":null,"stats":[]},{"value":"07","labl":"Poles and reed","is_missing":null,"stats":[]},{"value":"08","labl":"Mud, poles and reeds","is_missing":null,"stats":[]},{"value":"09","labl":"Other","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_FLOOR","name":"BW1991A_FLOOR","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"202","loc_end_pos":"202","loc_width":"1","loc_rec_seg_no":null,"labl":"Material used for construction of the floor","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p><span class=\"em\">Ask for the material used for the construction of this housing unit (if <span class=\"lang\">Lolwapa<\/span>, take main house)<\/span><\/p>\n\n<p>14. Material used for construction of the floor<\/p>\n<div class=\"i1\">[] 1 Stones\/tiles\/cement <br \/>[] 2 Wood <br \/>[] 3 Mud <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E14: Floor<\/span><\/p>\n\n<p>Observe the material of construction for the floor and circle the appropriate code:<\/p>\n<div class=\"i1\">1 Stone\/Tiles\/Cement<br \/>2 Wood<br \/>3 Mud<br \/>Other (specify)<\/div><p>If none of the above applies, write the name of the material in the space below the codes.<\/p>\n\n<p>In the sample questionnaire in paragraph 139, the roof is made of thatch (4 is circled in column E12), the walls are made of mud and reeds (code 6 is circled in E13) and the floor is mud (code 3 in E14).","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the material used for construction of the housing unit's floor.","var_catgry":[{"value":"1","labl":"Stone, tiles or cement","is_missing":null,"stats":[]},{"value":"2","labl":"Wood","is_missing":null,"stats":[]},{"value":"3","labl":"Mud","is_missing":null,"stats":[]},{"value":"4","labl":"Other","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Dwelling Characteristics Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_FUELCK","name":"BW1991A_FUELCK","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"203","loc_end_pos":"203","loc_width":"1","loc_rec_seg_no":null,"labl":"Principal fuel used for cooking","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p><span class=\"em\">Ask for the material used for the construction of this housing unit (if <span class=\"lang\">Lolwapa<\/span>, take main house)<\/span><\/p>\n\n<p>15. What is the principal fuel used by this household for cooking?<\/p>\n<div class=\"i1\">[] 1 Electricity <br \/>[] 2 Gas <br \/>[] 3 Paraffin <br \/>[] 4 Wood <br \/>[] 5 Coal <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E15: Principal Fuel for Cooking<\/span><\/p>\n\n<p>What is the principal fuel used by this household for cooking?<\/p>\n\n<p>Ask for the principal fuel used by the household for cooking and circle the appropriate answer code. It is possible that a household may use more than one fuel at any one time but it is the one that is used most often that should be recorded. Only one code should be circled. Possible codes are as follows:<\/p>\n<div class=\"i1\">1 Electricity<br \/>2 Gas<br \/>3 Paraffin<br \/>4 Wood<br \/>5 Coal<br \/>Other (specify)<\/div><p>If the particular fuel is not listed, write down the type of fuel used in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the principal fuel used by the household for cooking.","var_catgry":[{"value":"1","labl":"Electricity","is_missing":null,"stats":[]},{"value":"2","labl":"Gas","is_missing":null,"stats":[]},{"value":"3","labl":"Paraffin","is_missing":null,"stats":[]},{"value":"4","labl":"Wood","is_missing":null,"stats":[]},{"value":"7","labl":"Coal or other","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_LIGHT","name":"BW1991A_LIGHT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"204","loc_end_pos":"204","loc_width":"1","loc_rec_seg_no":null,"labl":"Principal fuel used for lighting","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section E<\/span>\n<br \/><span class=\"em\">[Housing]<\/span><\/p>\n\n<p><span class=\"em\">(Circle response)<\/span><\/p>\n\n<p><span class=\"em\">Ask for the material used for the construction of this housing unit (if <span class=\"lang\">Lolwapa<\/span>, take main house)<\/span><\/p>\n\n<p>16. What is the principal fuel used by this household for lighting?<\/p>\n<div class=\"i1\">[] 1 Electricity <br \/>[] 2 Gas <br \/>[] 3 Paraffin <br \/>[] 4 Wood <br \/>[] 5 Candle <br \/>[] 6 Diesel <br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column E16: Principal Fuel for Lighting<\/span><\/p>\n\n<p>What is the principal fuel used by this household for cooking?<\/p>\n\n<p>Ask for the principal fuel used by the household for cooking and circle the appropriate answer code. It is possible that a household may use more than one fuel at any one time but it is the one that is used most often that should be recorded. Only one code should be circled. Possible codes are as follows:<\/p>\n<div class=\"i1\">1 Electricity<br \/>2 Gas<br \/>3 Paraffin<br \/>4 Wood<br \/>5 Coal<br \/>Other (specify)<\/div><p>If the particular fuel is not listed, write down the type of fuel used in the space below the codes.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the principal fuel used by the household for lighting.","var_catgry":[{"value":"1","labl":"Electricity","is_missing":null,"stats":[]},{"value":"2","labl":"Gas","is_missing":null,"stats":[]},{"value":"3","labl":"Paraffin","is_missing":null,"stats":[]},{"value":"4","labl":"Wood","is_missing":null,"stats":[]},{"value":"5","labl":"Candle","is_missing":null,"stats":[]},{"value":"6","labl":"Diesel","is_missing":null,"stats":[]},{"value":"7","labl":"Other","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_TOUTSD","name":"BW1991A_TOUTSD","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"205","loc_end_pos":"205","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of absent members","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section B<\/span>\n<br \/><span class=\"em\">[Persons outside Botswana]<\/span><\/p>\n\n<p><span class=\"em\">List all members of this household --Botswana citizens only-- now outside Botswana<\/span><\/p>\n\n<p>1. Name<\/p>\n<div class=\"i1\">____<\/div><p>2. Serial number<\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns B1 to B10: Member of the Household outside Botswana<\/span><\/p>\n\n<p>These questions apply only to citizens of Botswana who were absent from the country on the census might, but who would usually live in the household if they were in Botswana such as citizens working or temporarily living with relatives in South Africa, studying abroad or away on private or government business. The relevant portion of the sample questionnaire on page 15 is shown below for easy reference.<\/p>\n\n<p>If no member of the household was absent from Botswana on the census night, enter dashes in the spaces provided for answer codes in the first line only.<\/p>\n\n<p>If you had to continue the listing of (Part A) household members on a second or third page, return to the first page for recording Part B information. If more than three persons have to he listed in Part B, go to the next page after writing \"continued\" in the comments box on the first page. Don't forget to copy the geographic identification codes (District, Village, etc.) onto the continuation questionnaire. Remember that when you complete Part B you should return lo the first page for the household to answer Parts C and D. Only Part E will be answered on the last page for the household.<\/p>\n\n<p>[Diagram on page 39 omitted]","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of absent household members that are citizens of Botswana but currently residing outside of Botswana.","var_catgry":[{"value":"0","labl":"0","is_missing":null,"stats":[]},{"value":"1","labl":"1","is_missing":null,"stats":[]},{"value":"2","labl":"2","is_missing":null,"stats":[]},{"value":"3","labl":"3","is_missing":null,"stats":[]},{"value":"4","labl":"4","is_missing":null,"stats":[]},{"value":"5","labl":"5+","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_WMINES","name":"BW1991A_WMINES","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"206","loc_end_pos":"206","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of absent members who are working in mines","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section B<\/span>\n<br \/><span class=\"em\">[Persons outside Botswana]<\/span><\/p>\n\n<p><span class=\"em\">List all members of this household --Botswana citizens only-- now outside Botswana<\/span><\/p>\n\n<p>1. Name<\/p>\n<div class=\"i1\">____<\/div><p>2. Serial number<\/p>\n<div class=\"i1\">____<\/div><p>10. What is the main reason for [the respondent's] absence?<\/p>\n<div class=\"i1\">[] 01 Working in mines<br \/>[] 02 Working in farms<br \/>[] 03 Working as domestic<br \/>[] 04 Other employment<br \/>[] 05 Student<br \/>[] 06 Visiting<br \/>[] 07 Official business<br \/>[] 08 Other business<br \/>[] 09 Accompanying<br \/>[] 10 Medical<br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column B10: Reason for Absence<\/span><\/p>\n\n<p>What is the main reason for [the respondent]'s absence?'<\/p>\n\n<p>It is possible that a person may have more than one reason for absence. Ask for the main reason. Enter the appropriate code as follows:<\/p>\n<div class=\"i1\">[] 01 Working in mines<br \/>[] 02 Working in farms<br \/>[] 03 Working as domestic<br \/>[] 04 Other employment<br \/>[] 05 Student<br \/>[] 06 Visiting<br \/>[] 07 Official business<br \/>[] 08 Other business<br \/>[] 09 Accompanying<br \/>[] 10 Medical<br \/>[] Other (specify)<\/div><p>If you cannot decide which code is the right one to use, make sure you have described the reason in the unshaded area (or in the comments box) and leave the shaded area blank.<\/p>\n\n<p>In the sample questionnaire in paragraph 123, Lorato is working as a maid in South Africa, so B10 is coded 03.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of absent household members who are working in mines.","var_catgry":[{"value":"0","labl":"0","is_missing":null,"stats":[]},{"value":"1","labl":"1","is_missing":null,"stats":[]},{"value":"2","labl":"2","is_missing":null,"stats":[]},{"value":"3","labl":"3+","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_WFARMS","name":"BW1991A_WFARMS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"207","loc_end_pos":"207","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of absent members who are working in farms","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section B<\/span>\n<br \/><span class=\"em\">[Persons outside Botswana]<\/span><\/p>\n\n<p><span class=\"em\">List all members of this household --Botswana citizens only-- now outside Botswana<\/span><\/p>\n\n<p>1. Name<\/p>\n<div class=\"i1\">____<\/div><p>2. Serial number<\/p>\n<div class=\"i1\">____<\/div><p>10. What is the main reason for [the respondent's] absence?<\/p>\n<div class=\"i1\">[] 01 Working in mines<br \/>[] 02 Working in farms<br \/>[] 03 Working as domestic<br \/>[] 04 Other employment<br \/>[] 05 Student<br \/>[] 06 Visiting<br \/>[] 07 Official business<br \/>[] 08 Other business<br \/>[] 09 Accompanying<br \/>[] 10 Medical<br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column B10: Reason for Absence<\/span><\/p>\n\n<p>What is the main reason for [the respondent]'s absence?'<\/p>\n\n<p>It is possible that a person may have more than one reason for absence. Ask for the main reason. Enter the appropriate code as follows:<\/p>\n<div class=\"i1\">[] 01 Working in mines<br \/>[] 02 Working in farms<br \/>[] 03 Working as domestic<br \/>[] 04 Other employment<br \/>[] 05 Student<br \/>[] 06 Visiting<br \/>[] 07 Official business<br \/>[] 08 Other business<br \/>[] 09 Accompanying<br \/>[] 10 Medical<br \/>[] Other (specify)<\/div><p>If you cannot decide which code is the right one to use, make sure you have described the reason in the unshaded area (or in the comments box) and leave the shaded area blank.<\/p>\n\n<p>In the sample questionnaire in paragraph 123, Lorato is working as a maid in South Africa, so B10 is coded 03.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of absent household members who are working on farms.","var_catgry":[{"value":"0","labl":"0","is_missing":null,"stats":[]},{"value":"1","labl":"1","is_missing":null,"stats":[]},{"value":"2","labl":"2+","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_WDOMES","name":"BW1991A_WDOMES","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"208","loc_end_pos":"208","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of absent members who are working as a domestic servant","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section B<\/span>\n<br \/><span class=\"em\">[Persons outside Botswana]<\/span><\/p>\n\n<p><span class=\"em\">List all members of this household --Botswana citizens only-- now outside Botswana<\/span><\/p>\n\n<p>1. Name<\/p>\n<div class=\"i1\">____<\/div><p>2. Serial number<\/p>\n<div class=\"i1\">____<\/div><p>10. What is the main reason for [the respondent's] absence?<\/p>\n<div class=\"i1\">[] 01 Working in mines<br \/>[] 02 Working in farms<br \/>[] 03 Working as domestic<br \/>[] 04 Other employment<br \/>[] 05 Student<br \/>[] 06 Visiting<br \/>[] 07 Official business<br \/>[] 08 Other business<br \/>[] 09 Accompanying<br \/>[] 10 Medical<br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column B10: Reason for Absence<\/span><\/p>\n\n<p>What is the main reason for [the respondent]'s absence?'<\/p>\n\n<p>It is possible that a person may have more than one reason for absence. Ask for the main reason. Enter the appropriate code as follows:<\/p>\n<div class=\"i1\">[] 01 Working in mines<br \/>[] 02 Working in farms<br \/>[] 03 Working as domestic<br \/>[] 04 Other employment<br \/>[] 05 Student<br \/>[] 06 Visiting<br \/>[] 07 Official business<br \/>[] 08 Other business<br \/>[] 09 Accompanying<br \/>[] 10 Medical<br \/>[] Other (specify)<\/div><p>If you cannot decide which code is the right one to use, make sure you have described the reason in the unshaded area (or in the comments box) and leave the shaded area blank.<\/p>\n\n<p>In the sample questionnaire in paragraph 123, Lorato is working as a maid in South Africa, so B10 is coded 03.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of absent household members who are working as domestic servant.","var_catgry":[{"value":"0","labl":"0","is_missing":null,"stats":[]},{"value":"1","labl":"1","is_missing":null,"stats":[]},{"value":"2","labl":"2+","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_OEMPL","name":"BW1991A_OEMPL","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"209","loc_end_pos":"209","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of absent members who have other employment","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section B<\/span>\n<br \/><span class=\"em\">[Persons outside Botswana]<\/span><\/p>\n\n<p><span class=\"em\">List all members of this household --Botswana citizens only-- now outside Botswana<\/span><\/p>\n\n<p>1. Name<\/p>\n<div class=\"i1\">____<\/div><p>2. Serial number<\/p>\n<div class=\"i1\">____<\/div><p>10. What is the main reason for [the respondent's] absence?<\/p>\n<div class=\"i1\">[] 01 Working in mines<br \/>[] 02 Working in farms<br \/>[] 03 Working as domestic<br \/>[] 04 Other employment<br \/>[] 05 Student<br \/>[] 06 Visiting<br \/>[] 07 Official business<br \/>[] 08 Other business<br \/>[] 09 Accompanying<br \/>[] 10 Medical<br \/>[] Other (specify) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column B10: Reason for Absence<\/span><\/p>\n\n<p>What is the main reason for [the respondent]'s absence?'<\/p>\n\n<p>It is possible that a person may have more than one reason for absence. Ask for the main reason. Enter the appropriate code as follows:<\/p>\n<div class=\"i1\">[] 01 Working in mines<br \/>[] 02 Working in farms<br \/>[] 03 Working as domestic<br \/>[] 04 Other employment<br \/>[] 05 Student<br \/>[] 06 Visiting<br \/>[] 07 Official business<br \/>[] 08 Other business<br \/>[] 09 Accompanying<br \/>[] 10 Medical<br \/>[] Other (specify)<\/div><p>If you cannot decide which code is the right one to use, make sure you have described the reason in the unshaded area (or in the comments box) and leave the shaded area blank.<\/p>\n\n<p>In the sample questionnaire in paragraph 123, Lorato is working as a maid in South Africa, so B10 is coded 03.","var_universe":"Botswana 1991: Private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of absent household members who have other employment.","var_catgry":[{"value":"0","labl":"0","is_missing":null,"stats":[]},{"value":"1","labl":"1","is_missing":null,"stats":[]},{"value":"2","labl":"2","is_missing":null,"stats":[]},{"value":"3","labl":"3+","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_MORTN","name":"BW1991A_MORTN","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"210","loc_end_pos":"210","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of deaths since Independence Day 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section D<\/span>\n<br \/><span class=\"em\">[Deaths]<\/span><\/p>\n\n<p>Since Independence Day 1990, has any member of this household died? (In \"yes\", ask for sex and age)<\/p>\n\n<p>1. Serial number<\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns D1, D2 and D3: Deaths in the Household<\/span><\/p>\n\n<p>Since Independence Day 1990, has any member of this household died?<\/p>\n\n<p>In general people are not happy to talk about deaths, especially recent ones, so be careful when asking this question. We are interested in recording information about any deaths since last Independence Day, September 30th, 1990, of anyone who had, up until their death, been a member of this household. The relevant portion of the sample questionnaire on page 15 is shown below:<\/p>\n\n<p>[Diagram on page 44 omitted]<\/p>\n\n<p>If there was any such death, enter the details under columns D1 to D3. Start with the serial number in D1. The first death should be given the serial number 01, the second death 02, etc. Record also the sex of the deceased in column D2 and his\/her age at death in column D3.<\/p>\n\n<p>If the person was under 1 year at death enter 00.<\/p>\n\n<p>If there were more than three deaths in the household, write \"continued\" in the comments box and enter the particulars of these other deaths in Part D of the next questionnaire form, starting with serial number 04. You will also have to fill in all the geographical identity codes on the next page (district, EA, locality, lolwapa\/house and household numbers).<\/p>\n\n<p>If there were no deaths, enter dashes in the spaces provided for answer codes in the first line only.<\/p>\n\n<p>In the sample questionnaire, there was one death in the household since Independence Day last year. The son of James and Anne died in a car accident; his serial number is 01 (D1), his sex was 1 (D2) and his age at the time of death was 17 (D3).","var_universe":"Botswana 1991: All households","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of the household deaths since Independence Day 1990.","var_catgry":[{"value":"0","labl":"0","is_missing":null,"stats":[]},{"value":"1","labl":"1","is_missing":null,"stats":[]},{"value":"2","labl":"2","is_missing":null,"stats":[]},{"value":"3","labl":"3+","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"H","vid":"BW1991A_STRATA","name":"BW1991A_STRATA","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"211","loc_end_pos":"214","loc_width":"4","loc_rec_seg_no":null,"labl":"Strata","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Botswana 1991: All households","var_universe_clusion":"I","var_sumstat":[],"var_txt":"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.","var_catgry":[],"var_codinstr":"This is a 4-digit numeric variable with 0 implied decimal places","var_concept":[{"title":"Geography: Global Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"H"},{"file_id":"P","vid":"PERNUM","name":"PERNUM","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"30","loc_end_pos":"33","loc_width":"4","loc_rec_seg_no":null,"labl":"Person number","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.","var_catgry":[],"var_codinstr":"PERNUM is a 4-digit numeric variable.","var_concept":[{"title":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"PERWT","name":"PERWT","var_intrvl":"contin","var_dcml":"2","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"34","loc_end_pos":"41","loc_width":"8","loc_rec_seg_no":null,"labl":"Person weight","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"PERWT indicates the number of persons in the actual population represented by the person in the sample.\n\nFor the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.\n\nNOTE: 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.","var_catgry":[],"var_codinstr":"PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.","var_concept":[{"title":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"MOMLOC","name":"MOMLOC","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"42","loc_end_pos":"44","loc_width":"3","loc_rec_seg_no":null,"labl":"Mother's location in household","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.  \n\nThe method by which probable child-mother links are identified is described in PARRULE.\n\nThe 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.\n\nNote: 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.","var_catgry":[],"var_codinstr":"MOMLOC is a 3-digit numeric variable.\n\n\t\t\nCodes0 = No mother of this person present in the household.\n1 or higher = The person number of this person's mother","var_concept":[{"title":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"POPLOC","name":"POPLOC","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"45","loc_end_pos":"47","loc_width":"3","loc_rec_seg_no":null,"labl":"Father's location in household","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.  \n\nThe method by which probable child-father links are identified is described in PARRULE.\n\nThe 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.\n\nNote: 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.","var_catgry":[],"var_codinstr":"POPLOC is a 3-digit numeric variable.\n\n\t\t\nCodes0 = No father of this person present in the household.\n1 or higher = The person number of this person's father","var_concept":[{"title":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"SPLOC","name":"SPLOC","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"48","loc_end_pos":"50","loc_width":"3","loc_rec_seg_no":null,"labl":"Spouse's location in household","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.  \n\nThe method by which probable spouse-spouse links are identified is described in SPRULE.\n\nThe 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.","var_catgry":[],"var_codinstr":"SPLOC is a 3-digit numeric variable.\n\n\t\t\nCodes0 = No spouse of this person present in the household.\n1 or higher = The person number of this person's spouse","var_concept":[{"title":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"PARRULE","name":"PARRULE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"51","loc_end_pos":"52","loc_width":"2","loc_rec_seg_no":null,"labl":"Rule for linking parent","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and\/or father.\n\nIPUMS 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.\n\nThe design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.","var_catgry":[{"value":"00","labl":"No parent of person in household","is_missing":null,"stats":[]},{"value":"11","labl":"Link to head or spouse, unambiguous","is_missing":null,"stats":[]},{"value":"12","labl":"Link to head or spouse, ambiguous","is_missing":null,"stats":[]},{"value":"21","labl":"Child-Grandchild, within empirical child cap","is_missing":null,"stats":[]},{"value":"22","labl":"Child-Grandchild, within constructed child cap","is_missing":null,"stats":[]},{"value":"23","labl":"Child-Grandchild, exceeds child cap","is_missing":null,"stats":[]},{"value":"31","labl":"Specified Other Relatives, within empirical child cap","is_missing":null,"stats":[]},{"value":"32","labl":"Specified Other Relatives, within constructed child cap","is_missing":null,"stats":[]},{"value":"33","labl":"Specified Other Relatives, exceeds child cap","is_missing":null,"stats":[]},{"value":"41","labl":"Other Relatives, within empirical child cap","is_missing":null,"stats":[]},{"value":"42","labl":"Other Relatives, within constructed child cap","is_missing":null,"stats":[]},{"value":"51","labl":"Non-Relatives, within empirical child cap","is_missing":null,"stats":[]},{"value":"52","labl":"Non-Relatives, within constructed child cap","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"SPRULE","name":"SPRULE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"53","loc_end_pos":"54","loc_width":"2","loc_rec_seg_no":null,"labl":"Rule for linking spouse","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his\/her probable spouse. \n\nIPUMS 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.\n\nThe design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.","var_catgry":[{"value":"00","labl":"No spouse present","is_missing":null,"stats":[]},{"value":"01","labl":"Rule 1: strong relationship pairing, couple adjacent","is_missing":null,"stats":[]},{"value":"02","labl":"Rule 2: strong relationship pairing, couple not adjacent","is_missing":null,"stats":[]},{"value":"03","labl":"Rule 3: weak relationship pairing, couple adjacent","is_missing":null,"stats":[]},{"value":"04","labl":"Rule 4: weak relationship pairing, couple not adjacent","is_missing":null,"stats":[]},{"value":"05","labl":"Rule 5: weak consensual union pairings","is_missing":null,"stats":[]},{"value":"06","labl":"Rule 6: sample-specific rules (usually child-to-child)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"STEPMOM","name":"STEPMOM","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"55","loc_end_pos":"55","loc_width":"1","loc_rec_seg_no":null,"labl":"Probable stepmother","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.\n \nThe codes for STEPMOM are as follows:\n\n0 = Biological mother or no mother of this person present in household.  \n1 = Mother has no children born or surviving.\n2 = Child reports mother is deceased.\n3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild\/child-in-law). \n4 = Mother reports no children in the home.\n5 = Age difference between mother and child was less than 12 or greater than 54 years.\n6 = Child exceeds known fertility of mother.\n\nIn 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.\n\nUsers 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.","var_catgry":[{"value":"0","labl":"Biological mother or no mother present","is_missing":null,"stats":[]},{"value":"1","labl":"Mother has no children born or surviving","is_missing":null,"stats":[]},{"value":"2","labl":"Child reports mother is deceased","is_missing":null,"stats":[]},{"value":"3","labl":"Explicitly identified step relationship","is_missing":null,"stats":[]},{"value":"4","labl":"Mother reports no children in the home","is_missing":null,"stats":[]},{"value":"5","labl":"Age difference implausible","is_missing":null,"stats":[]},{"value":"6","labl":"Child exceeds known fertility of mother","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"STEPPOP","name":"STEPPOP","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"56","loc_end_pos":"56","loc_width":"1","loc_rec_seg_no":null,"labl":"Probable stepfather","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.\n \nThe codes for STEPPOP are as follows:\n\n0 = Biological father or no father of this person present in household.  \n1 = Child reports father is deceased.\n2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild\/child-in-law). \n3 = Age difference between father and child was less than 12 or greater than 54 years.\n\nIn 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.\n\nUsers should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. 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The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.\n\nEmployment status is sometimes referred to in other sources as \"activity status\".","var_catgry":[{"value":"0","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"1","labl":"Employed","is_missing":null,"stats":[]},{"value":"2","labl":"Unemployed","is_missing":null,"stats":[]},{"value":"3","labl":"Inactive","is_missing":null,"stats":[]},{"value":"9","labl":"Unknown\/missing","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"EMPSTATD","name":"EMPSTATD","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"118","loc_end_pos":"120","loc_width":"3","loc_rec_seg_no":null,"labl":"Activity status (employment status) [detailed version]","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.\n\nThe 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.\n\nEmployment status is sometimes referred to in other sources as \"activity status\".","var_catgry":[{"value":"000","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"100","labl":"Employed, not specified","is_missing":null,"stats":[]},{"value":"110","labl":"At work","is_missing":null,"stats":[]},{"value":"111","labl":"At work, and 'student'","is_missing":null,"stats":[]},{"value":"112","labl":"At work, and 'housework'","is_missing":null,"stats":[]},{"value":"113","labl":"At work, and 'seeking work'","is_missing":null,"stats":[]},{"value":"114","labl":"At work, and 'retired'","is_missing":null,"stats":[]},{"value":"115","labl":"At work, and 'no work'","is_missing":null,"stats":[]},{"value":"116","labl":"At work, and other situation","is_missing":null,"stats":[]},{"value":"117","labl":"At work, family holding, not specified","is_missing":null,"stats":[]},{"value":"118","labl":"At work, family holding, not agricultural","is_missing":null,"stats":[]},{"value":"119","labl":"At work, family holding, agricultural","is_missing":null,"stats":[]},{"value":"120","labl":"Have job, not at work in reference period","is_missing":null,"stats":[]},{"value":"130","labl":"Armed forces","is_missing":null,"stats":[]},{"value":"131","labl":"Armed forces, at work","is_missing":null,"stats":[]},{"value":"132","labl":"Armed forces, not at work in reference period","is_missing":null,"stats":[]},{"value":"133","labl":"Military trainee","is_missing":null,"stats":[]},{"value":"140","labl":"Marginally employed","is_missing":null,"stats":[]},{"value":"200","labl":"Unemployed, not specified","is_missing":null,"stats":[]},{"value":"201","labl":"Unemployed 6 or more months","is_missing":null,"stats":[]},{"value":"202","labl":"Worked fewer than 6 months, permanent job","is_missing":null,"stats":[]},{"value":"203","labl":"Worked fewer than 6 months, temporary job","is_missing":null,"stats":[]},{"value":"210","labl":"Unemployed, experienced worker","is_missing":null,"stats":[]},{"value":"220","labl":"Unemployed, new worker","is_missing":null,"stats":[]},{"value":"230","labl":"No work available","is_missing":null,"stats":[]},{"value":"240","labl":"Inactive unemployed","is_missing":null,"stats":[]},{"value":"300","labl":"Inactive (not in labor force)","is_missing":null,"stats":[]},{"value":"310","labl":"Housework","is_missing":null,"stats":[]},{"value":"320","labl":"Unable to work, disabled or health reasons","is_missing":null,"stats":[]},{"value":"321","labl":"Permanent disability","is_missing":null,"stats":[]},{"value":"322","labl":"Temporary illness","is_missing":null,"stats":[]},{"value":"323","labl":"Disabled or imprisoned","is_missing":null,"stats":[]},{"value":"330","labl":"In school","is_missing":null,"stats":[]},{"value":"340","labl":"Retirees and living on rent","is_missing":null,"stats":[]},{"value":"341","labl":"Living on rents","is_missing":null,"stats":[]},{"value":"342","labl":"Living on rents or pension","is_missing":null,"stats":[]},{"value":"343","labl":"Retirees\/pensioners","is_missing":null,"stats":[]},{"value":"344","labl":"Retired","is_missing":null,"stats":[]},{"value":"345","labl":"Pensioner","is_missing":null,"stats":[]},{"value":"346","labl":"Non-retirement pension","is_missing":null,"stats":[]},{"value":"347","labl":"Disability pension","is_missing":null,"stats":[]},{"value":"348","labl":"Retired without benefits","is_missing":null,"stats":[]},{"value":"350","labl":"Elderly","is_missing":null,"stats":[]},{"value":"351","labl":"Elderly or disabled","is_missing":null,"stats":[]},{"value":"360","labl":"Institutionalized","is_missing":null,"stats":[]},{"value":"361","labl":"Prisoner","is_missing":null,"stats":[]},{"value":"370","labl":"Intermittent worker","is_missing":null,"stats":[]},{"value":"371","labl":"Not working, seasonal worker","is_missing":null,"stats":[]},{"value":"372","labl":"Not working, occasional worker","is_missing":null,"stats":[]},{"value":"380","labl":"Other income recipient","is_missing":null,"stats":[]},{"value":"390","labl":"Inactive, other reasons","is_missing":null,"stats":[]},{"value":"391","labl":"Too young to work","is_missing":null,"stats":[]},{"value":"392","labl":"Dependent","is_missing":null,"stats":[]},{"value":"999","labl":"Unknown\/missing","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"LABFORCE","name":"LABFORCE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"121","loc_end_pos":"121","loc_width":"1","loc_rec_seg_no":null,"labl":"Labor force participation","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.\n\nFor 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.","var_catgry":[{"value":"1","labl":"No, not in the labor force","is_missing":null,"stats":[]},{"value":"2","labl":"Yes, in the labor force","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"OCCISCO","name":"OCCISCO","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"122","loc_end_pos":"123","loc_width":"2","loc_rec_seg_no":null,"labl":"Occupation, ISCO general","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.","var_catgry":[{"value":"01","labl":"Legislators, senior officials and managers","is_missing":null,"stats":[]},{"value":"02","labl":"Professionals","is_missing":null,"stats":[]},{"value":"03","labl":"Technicians and associate professionals","is_missing":null,"stats":[]},{"value":"04","labl":"Clerks","is_missing":null,"stats":[]},{"value":"05","labl":"Service workers and shop and market sales","is_missing":null,"stats":[]},{"value":"06","labl":"Skilled agricultural and fishery workers","is_missing":null,"stats":[]},{"value":"07","labl":"Crafts and related trades workers","is_missing":null,"stats":[]},{"value":"08","labl":"Plant and machine operators and assemblers","is_missing":null,"stats":[]},{"value":"09","labl":"Elementary occupations","is_missing":null,"stats":[]},{"value":"10","labl":"Armed forces","is_missing":null,"stats":[]},{"value":"11","labl":"Other occupations, unspecified or n.e.c.","is_missing":null,"stats":[]},{"value":"97","labl":"Response suppressed","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"OCC","name":"OCC","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"124","loc_end_pos":"127","loc_width":"4","loc_rec_seg_no":null,"labl":"Occupation, unrecoded","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.\n\nTo 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.","var_catgry":[],"var_codinstr":"OCC is a 4-digit numeric variable.\n\nSome samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.\n\n\t\t\nCodesArgentina 1970 - Spanish\nArgentina 1980 - Spanish\nArgentina 1991 - Spanish\nArgentina 2001 - Spanish\nArmenia 2011\nAustria 1971-2001 - German\nBelarus 1999 - Russian\nBelarus 2009\nBenin 1979\nBenin 1992\nBenin 2002\nBenin 2013\nBolivia 1976\nBolivia 1992\nBolivia 2001\nBolivia 2012\nBotswana 1981\nBotswana 1991\nBotswana 2001\nBotswana 2011\nBrazil 1960 - Portuguese\nBrazil 1970 - Portuguese\nBrazil 1980 - Portuguese\nBrazil 1991 - Portuguese\nBrazil 2000 - Portuguese\nBrazil 2010\nBurkina Faso 1985\nBurkina Faso 1996\nCambodia 1998\nCambodia 2004\nCambodia 2008\nCambodia 2013\nCambodia 2019\nCameroon 1976\nCameroon 2005\nCanada 1971\nCanada 1981-1991\nCanada 2001\nCanada 2011\nChile 1960 \nChile 1970 \nChile 1982 \nChile 1992 \nChile 2002 \nChina 1982\nChina 1990\nChina 2000\nColombia 1964\nColombia 1973 - Spanish\nCosta Rica 1973 \nCosta Rica 1984 \nCosta Rica 2000 \nCosta Rica 2011\nCote d'Ivoire 1988\nCote d'Ivoire 1998\nCuba 2002\nCuba 2012\nDenmark 1845\nDenmark 1880\nDenmark 1885\nDominican Republic 1960\nDominican Republic 1970\nDominican Republic 1981\nDominican Republic 2002\nDominican Republic 2010\nEcuador 1962\nEcuador 1974\nEcuador 1982\nEcuador 1990\nEcuador 2001\nEcuador 2010\nEgypt 1986\nEgypt 2006\nEl Salvador 1992\nEl Salvador 2007\nEthiopia 1984\nEthiopia 1994\nFiji 1976\nFiji 1986\nFiji 1996\nFiji 2007\nFiji 2014\nFinland 2010\nFrance 1962-1990 - French\nFrance 1999\nFrance 2006\nFrance 2011\nGermany 1970\nGermany 1981\nGermany 1987\nGhana 1984\nGhana 2000\nGhana 2010\nGreece 1971-1991  - Greek\nGreece 2001  - Greek\nGreece 2011\nGuatemala 1964\nGuatemala 1973\nGuatemala 1981\nGuatemala 1994\nGuatemala 2002\nGuinea 1983\nGuinea 1996\nGuinea 2014\nHaiti 1982\nHaiti 2003\nHonduras 1961\nHonduras 1974\nHonduras 1988\nHonduras 2001\nHungary 1970-1990\nHungary 2001\nHungary 2011\nIndia 1983-2004\nIndia 2009\nIndonesia 1971\nIndonesia 1976\nIndonesia 1980\nIndonesia 1985\nIndonesia 1990\nIndonesia 1995\nIndonesia 2005\nIran 2006\nIran 2011\nIraq 1997\nIreland 1901\nIreland 1911\nIreland 1971\nIreland 1981\nIreland 1986\nIreland 1991\nIreland 1996\nIreland 2002\nIreland 2006\nIreland 2011\nIreland 2016\nIsrael 1972\nIsrael 1983\nIsrael 1995\nIsrael 2008\nItaly 2001\nItaly 2011\nItaly Surveys 2011-2020\nJamaica 1982\nJamaica 1991\nJamaica 2001\nJordan 2004\nKenya 1989\nKyrgyz Republic 1999\nLaos 1995\nLesotho 1996\nLesotho 2006\nLiberia 1974\nLiberia 2008\nMalawi 1987\nMalawi 1998\nMalawi 2008\nMalaysia 1970\nMalaysia 1980-1991\nMalaysia 2000\nMali 1987\n Mali 1998\nMali 2009\nMauritius 1990\nMauritius 2000\nMauritius 2011\nMexico 1960 - Spanish\nMexico 1970 - Spanish\nMexico 1990 - Spanish\nMexico 1995 - Spanish\nMexico 2000 - Spanish\nMexico 2010\nMexico 2015\nMexico 2020\nMexico Surveys 2005-2020\nMongolia 2000\nMorocco 1982\nMorocco 1994\nMorocco 2004\nMorocco 2014\nMozambique 1997\nMozambique 2007\nMyanmar 2014\nNepal 2001\nNepal 2011\nNetherlands 1960\nNetherlands 1971\nNetherlands 2001\nNetherlands 2011\nNicaragua 1971\nNicaragua 1995\nNicaragua 2005\nNigeria 2008\nNigeria 2009\nNigeria 2010\nPakistan 1973\nPalestine 1997\nPalestine 2007\nPalestine 2017\nPanama 1960 - Spanish\nPanama 1970 - Spanish\nPanama 1980 - Spanish\nPanama 1990 - Spanish\nPanama 2000 - Spanish\nPanama 2010\nPapua New Guinea 1980\nPapua New Guinea 1990\nPapua New Guinea 2000\nParaguay 1962\nParaguay 1972\nParaguay 1982\nParaguay 1992\nParaguay 2002\nPeru 1993\nPeru 2007\nPeru 2017\nPhilippines 1990\nPhilippines 2000 \nPhilippines 2010 \nPoland 1978\nPoland 1988\nPoland 2002\nPortugal 1981 - Portuguese\nPortugal 1991 - Portuguese\nPortugal 2001 - Portuguese\nPortugal 2011\nPuerto Rico 1970\nPuerto Rico 1980\nPuerto Rico 1990\nPuerto Rico 2000-2005\nPuerto Rico 2010\nPuerto Rico 2015\nPuerto Rico 2020\nRomania 1977\nRomania 1992 \nRomania 2002\nRomania 2011\nRwanda 2002 - French\nRwanda 2012\nSaint Lucia 1991\nSenegal 1988\nSenegal 2002\nSenegal 2013\nSlovak Republic 1991\n Slovak Republic 2001\n Slovak Republic 2011\nSierra Leone 2004\nSierra Leone 2015\nSlovenia 2002\nSouth Africa 1996 \nSouth Africa 2001 \nSouth Africa 2007\nSouth Sudan 2008\nSpain 1981 - Spanish\nSpain 1991 - Spanish\nSpain 2001 - Spanish\nSpain 2011 \nSpain Surveys 2005-2020 \nSudan 2008\nSuriname 2004\nSuriname 2012\nSwitzerland 1970\nSwitzerland 1980\nSwitzerland 1990\nSwitzerland 2000\nSwitzerland 2011\nTanzania 1988\nTanzania 2002\nTanzania 2012\nThailand 1970\nThailand 1980\nThailand 1990\nThailand 2000\nTogo 1960\nTogo 1970\nTogo 2010\nTrinidad and Tobago 1990\nTrinidad and Tobago 2000\nTrinidad and Tobago 2011\nTurkey 1985\nTurkey 1990\nTurkey 2000\nUganda 1991\nUganda 2002\nUganda 2014\nUnited Kingdom 1961\nUnited Kingdom 1971\nUnited Kingdom 1991\nUnited Kingdom 2001\nUnited States 1960\nUnited States 1970\nUnited States 1980\nUnited States 1990\nUnited States 2000-2005\nUnited States 2010\nUnited States 2015\nUnited States 2020\nUruguay 1963\nUruguay 1975\nUruguay 1996\nUruguay 2006\nVenezuela 1981 \nVenezuela 1990 \nVenezuela 2001 - Spanish\nVietnam 1989\nVietnam 1999\nVietnam 2009\nVietnam 2019\nZambia 1990\nZambia 2000\nZambia 2010\nZimbabwe 2012","var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"INDGEN","name":"INDGEN","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"128","loc_end_pos":"130","loc_width":"3","loc_rec_seg_no":null,"labl":"Industry, general recode","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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.\n\n\"Industry\" refers to the activity or product of the establishment or sector in which a person worked.","var_catgry":[{"value":"000","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"010","labl":"Agriculture, fishing, and forestry","is_missing":null,"stats":[]},{"value":"020","labl":"Mining and extraction","is_missing":null,"stats":[]},{"value":"030","labl":"Manufacturing","is_missing":null,"stats":[]},{"value":"040","labl":"Electricity, gas, water and waste management","is_missing":null,"stats":[]},{"value":"050","labl":"Construction","is_missing":null,"stats":[]},{"value":"060","labl":"Wholesale and retail trade","is_missing":null,"stats":[]},{"value":"070","labl":"Hotels and restaurants","is_missing":null,"stats":[]},{"value":"080","labl":"Transportation, storage, and communications","is_missing":null,"stats":[]},{"value":"090","labl":"Financial services and insurance","is_missing":null,"stats":[]},{"value":"100","labl":"Public administration and defense","is_missing":null,"stats":[]},{"value":"110","labl":"Services, not specified","is_missing":null,"stats":[]},{"value":"111","labl":"Business services and real estate","is_missing":null,"stats":[]},{"value":"112","labl":"Education","is_missing":null,"stats":[]},{"value":"113","labl":"Health and social work","is_missing":null,"stats":[]},{"value":"114","labl":"Other services","is_missing":null,"stats":[]},{"value":"120","labl":"Private household services","is_missing":null,"stats":[]},{"value":"130","labl":"Other industry, n.e.c.","is_missing":null,"stats":[]},{"value":"998","labl":"Response suppressed","is_missing":null,"stats":[]},{"value":"999","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"IND","name":"IND","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"131","loc_end_pos":"135","loc_width":"5","loc_rec_seg_no":null,"labl":"Industry, unrecoded","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"\"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.","var_catgry":[],"var_codinstr":"IND is a 5-digit numeric variable.\n\nSome samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.\n\n\t\t\nCodesArgentina 1970 - Spanish\nArgentina 1980 - Spanish\nArgentina 1991 - Spanish\nArgentina 2001 - Spanish\nArmenia 2001\nArmenia 2011\nAustria 1971-2001 - German\nAustria 2011\nBangladesh 1991\nBangladesh 2001\nBangladesh 2011\nBelarus 2009\nBenin 1979\nBenin 1992\nBenin 2002\nBenin 2013\nBolivia 1976\nBolivia 1992\nBolivia 2001\nBolivia 2012\nBotswana 1981\nBotswana 1991\nBotswana 2001\nBotswana 2011\nBrazil 1960 - Portuguese\nBrazil 1970 - Portuguese\nBrazil 1980 - Portuguese\nBrazil 1991 - Portuguese\nBrazil 2000 - Portuguese\nBrazil 2010\nBurkina Faso 1996\nCambodia 1998\nCambodia 2004\nCambodia 2008\nCambodia 2013\nCambodia 2019\nCameroon 2005\nCanada 1971\nCanada 1981\nCanada 1991-2001\nCanada 2011\nChile 1960 \nChile 1970 \nChile 1982 \nChile 1992 \nChile 2002 \nChile 2017 \nChina 1982\nChina 1990\nChina 2000\nColombia 1964 - Spanish\nColombia 1973 - Spanish\nColombia 1993 - Spanish\nColombia 2005 - Spanish\nCosta Rica 1963 \nCosta Rica 1973 \nCosta Rica 1984 \nCosta Rica 2000 \nCosta Rica 2011\nCote d\u2019Ivoire 1988\nCote d\u2019Ivoire 1998\nCuba 2002\nCuba 2012\nDominican Republic 1960\nDominican Republic 1970\nDominican Republic 1981\nDominican Republic 2002\nDominican Republic 2010\nEcuador 1962 \nEcuador 1982 \nEcuador 1990 \nEcuador 2001 \nEcuador 2010\nEgypt 1986\nEgypt 1996\nEgypt 2006\nEl Salvador 1992\nEl Salvador 2007\nEthiopia 1984\nEthiopia 1994\nFiji 1966\nFiji 1976\nFiji 1986\nFiji 1996\nFiji 2007\nFiji 2014\nFinland 2010\nFrance 1962-1968 - French\nFrance 1975-1982 - French\nFrance 1990 - French\nFrance 1999\nFrance 2006\nFrance 2011\nGermany 1970\nGermany 1971\nGermany 1981\nGermany 1987\nGhana 1984\nGhana 2000\nGhana 2010\nGreece 1971\nGreece 1981\nGreece 1991-2001\nGreece 2011\nGuatemala 1964\nGuatemala 1973\nGuatemala 1981\nGuatemala 1994\nGuatemala 2002\nGuinea 1983\nGuinea 2014\nHaiti 1971\nHaiti 1982\nHaiti 2003\nHonduras 1961\nHonduras 1974\nHonduras 2001\nHungary 2001\nHungary 2011\nIndia 1983\nIndia 1987\nIndia 1993\nIndia 1999\nIndia 2004\nIndia 2009\nIndonesia 1971\nIndonesia 1976\nIndonesia 1980\nIndonesia 1985\nIndonesia 1990\nIndonesia 1995\nIndonesia 2000\nIndonesia 2005\nIndonesia 2010\nIran 2006\nIran 2011\nIraq 1997\nIreland 1971\nIreland 1981\nIreland 1986\nIreland 1991\nIreland 1996\nIreland 2002\nIreland 2006\nIreland 2011\nIreland 2016\nIsrael 1972\nIsrael 1983\nIsrael 1995\nIsrael 2008\nItaly 2001\nItaly 2011\nItaly Surveys 2011-2013\nItaly Surveys 2014-2020\nJamaica 1982\nJamaica 1991\nJamaica 2001\nJordan 2004\nKyrgyz Republic 1999\nKyrgyz Republic 2009\nLaos 1995\nLaos 2005\nLaos 2015\nLesotho 2006\nLiberia 1974\nLiberia 2008\nMalawi 1987\nMalawi 1998\nMalawi 2008\nMalaysia 1970\nMalaysia 1980-1991\nMalaysia 2000\nMali 1987\nMali 1998\nMali 2009\nMauritius 1990\nMauritius 2000\nMauritius 2011\nMexico 1960 - Spanish\nMexico 1970 - Spanish\nMexico 1990 - Spanish\nMexico 1995 - Spanish\nMexico 2000 - Spanish\nMexico 2010\nMexico 2015\nMexico 2020\nMexico surveys 2005-2019\nMorocco 1982\nMorocco 1994\nMorocco 2004\nMorocco 2014\nMozambique 1997\nMozambique 2007\nMyanmar 2014\nNepal 2001\nNepal 2011\nNetherlands 1960\nNetherlands 1971\nNetherlands 2001\nNetherlands 2011\nNicaragua 1971\nNicaragua 1995\nNicaragua 2005\nNigeria 2006\nNigeria 2007\nNigeria 2008\nNigeria 2009\nNigeria 2010\nPakistan 1973\nPalestine 1997\nPalestine 2007\nPalestine 2017\nPanama 1960 - Spanish\nPanama 1970-1980 - Spanish\nPanama 1990-2000 - Spanish\nPanama 2010\nPapua New Guinea 1980\nPapua New Guinea 2000\nParaguay 1962\nParaguay 1972\nParaguay 1982\nParaguay 1992\nParaguay 2002\nPeru 1993\nPeru 2007\nPeru 2017\nPhilippines 1990\nPhilippines 1995\nPhilippines 2000\nPhilippines 2010\nPoland 1978\nPoland 2002\nPortugal 1981 - Portuguese\nPortugal 1991-2001 - Portuguese\nPortugal 2011\nPuerto Rico 1970-2005\nPuerto Rico 2010\nPuerto Rico 2015\nPuerto Rico 2020\nRomania 1977\nRomania 1992\nRomania 2002\nRomania 2011\nRwanda 2002 - French\nRwanda 2012\nSaint Lucia 1991\nSenegal 1988\nSenegal 2013\nSierra Leone 2004\nSouth Africa 1996 \nSouth Africa 2001-2007\nSouth Sudan 2008\nSpain 1981 - Spanish\nSpain 1991 - Spanish\nSpain 2001 - Spanish\nSpain 2011\nSpain Surveys 2005-2020 \nSudan 2008\nSuriname 2004\nSuriname 2012\nSwitzerland 1970-2000\nSwitzerland 2011\nTanzania 2002\nTanzania 2012\nThailand 1970\nThailand 1980\nThailand 1990\nThailand 2000\nTogo 1970\nTogo 2010\nTrinidad and Tobago 1980\nTrinidad and Tobago 1990\nTrinidad and Tobago 2000\nTurkey 1985\nTurkey 1990\nTurkey 2000\nUganda 2002\nUnited Kingdom 1961\nUnited Kingdom 1971\nUnited Kingdom 1991\nUnited Kingdom 2001\nUnited States 1960\nUnited States 1970\nUnited States 1980\nUnited States 1990\nUnited States 2000-2005\nUnited States 2010\nUnited States 2015\nUnited States 2020\nUruguay 1963\nUruguay 1985\nUruguay 1996\nUruguay 2006\nVenezuela 1981 \nVenezuela 1990 \nVenezuela 2001 - Spanish\nVietnam 1989\nVietnam 1999\nVietnam 2009\nVietnam 2019\nZambia 1990\nZambia 2000\nZambia 2010","var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"CLASSWK","name":"CLASSWK","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"136","loc_end_pos":"136","loc_width":"1","loc_rec_seg_no":null,"labl":"Status in employment (class of worker) [general version]","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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. \n\nClass of worker is often referred to as \"status in employment\" in other sources.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"1","labl":"Self-employed","is_missing":null,"stats":[]},{"value":"2","labl":"Wage\/salary worker","is_missing":null,"stats":[]},{"value":"3","labl":"Unpaid worker","is_missing":null,"stats":[]},{"value":"4","labl":"Other","is_missing":null,"stats":[]},{"value":"9","labl":"Unknown\/missing","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"CLASSWKD","name":"CLASSWKD","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"137","loc_end_pos":"139","loc_width":"3","loc_rec_seg_no":null,"labl":"Status in employment (class of worker) [detailed version]","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"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. \n\nClass of worker is often referred to as \"status in employment\" in other sources.","var_catgry":[{"value":"000","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"100","labl":"Self-employed","is_missing":null,"stats":[]},{"value":"101","labl":"Self-employed, unincorporated","is_missing":null,"stats":[]},{"value":"102","labl":"Self-employed, incorporated","is_missing":null,"stats":[]},{"value":"110","labl":"Employer","is_missing":null,"stats":[]},{"value":"111","labl":"Sharecropper, employer","is_missing":null,"stats":[]},{"value":"120","labl":"Working on own account","is_missing":null,"stats":[]},{"value":"121","labl":"Own account, agriculture","is_missing":null,"stats":[]},{"value":"122","labl":"Domestic worker, self-employed","is_missing":null,"stats":[]},{"value":"123","labl":"Subsistence worker, own consumption","is_missing":null,"stats":[]},{"value":"124","labl":"Own account, other","is_missing":null,"stats":[]},{"value":"125","labl":"Own account, without temporary\/unpaid help","is_missing":null,"stats":[]},{"value":"126","labl":"Own account, with temporary\/unpaid help","is_missing":null,"stats":[]},{"value":"130","labl":"Member of cooperative","is_missing":null,"stats":[]},{"value":"140","labl":"Sharecropper","is_missing":null,"stats":[]},{"value":"141","labl":"Sharecropper, self-employed","is_missing":null,"stats":[]},{"value":"142","labl":"Sharecropper, employee","is_missing":null,"stats":[]},{"value":"150","labl":"Kibbutz member","is_missing":null,"stats":[]},{"value":"199","labl":"Self-employed, not specified","is_missing":null,"stats":[]},{"value":"200","labl":"Wage\/salary worker","is_missing":null,"stats":[]},{"value":"201","labl":"Management","is_missing":null,"stats":[]},{"value":"202","labl":"Non-management","is_missing":null,"stats":[]},{"value":"203","labl":"White collar (non-manual)","is_missing":null,"stats":[]},{"value":"204","labl":"Blue collar (manual)","is_missing":null,"stats":[]},{"value":"205","labl":"White or blue collar","is_missing":null,"stats":[]},{"value":"206","labl":"Day laborer","is_missing":null,"stats":[]},{"value":"207","labl":"Employee, with a permanent job","is_missing":null,"stats":[]},{"value":"208","labl":"Employee, occasional, temporary, contract","is_missing":null,"stats":[]},{"value":"209","labl":"Employee without legal contract","is_missing":null,"stats":[]},{"value":"210","labl":"Wage\/salary worker, private employer","is_missing":null,"stats":[]},{"value":"211","labl":"Apprentice","is_missing":null,"stats":[]},{"value":"212","labl":"Religious worker","is_missing":null,"stats":[]},{"value":"213","labl":"Wage\/salary worker, non-profit, NGO","is_missing":null,"stats":[]},{"value":"214","labl":"White collar, private","is_missing":null,"stats":[]},{"value":"215","labl":"Blue collar, private","is_missing":null,"stats":[]},{"value":"216","labl":"Paid family worker","is_missing":null,"stats":[]},{"value":"217","labl":"Cooperative employee","is_missing":null,"stats":[]},{"value":"220","labl":"Wage\/salary worker, government","is_missing":null,"stats":[]},{"value":"221","labl":"Federal, government employee","is_missing":null,"stats":[]},{"value":"222","labl":"State government employee","is_missing":null,"stats":[]},{"value":"223","labl":"Local government employee","is_missing":null,"stats":[]},{"value":"224","labl":"White collar, public","is_missing":null,"stats":[]},{"value":"225","labl":"Blue collar, public","is_missing":null,"stats":[]},{"value":"226","labl":"Public companies","is_missing":null,"stats":[]},{"value":"227","labl":"Civil servants, local collectives","is_missing":null,"stats":[]},{"value":"230","labl":"Domestic worker (work for private household)","is_missing":null,"stats":[]},{"value":"240","labl":"Seasonal migrant","is_missing":null,"stats":[]},{"value":"241","labl":"Seasonal migrant, no broker","is_missing":null,"stats":[]},{"value":"242","labl":"Seasonal migrant, uses broker","is_missing":null,"stats":[]},{"value":"250","labl":"Other wage and salary","is_missing":null,"stats":[]},{"value":"251","labl":"Canal zone\/commission employee","is_missing":null,"stats":[]},{"value":"252","labl":"Government employment\/training program","is_missing":null,"stats":[]},{"value":"253","labl":"Mixed state\/private enterprise\/parastatal","is_missing":null,"stats":[]},{"value":"254","labl":"Government public work program","is_missing":null,"stats":[]},{"value":"255","labl":"State enterprise employee","is_missing":null,"stats":[]},{"value":"256","labl":"Coordinated and continuous collaboration job","is_missing":null,"stats":[]},{"value":"300","labl":"Unpaid worker","is_missing":null,"stats":[]},{"value":"310","labl":"Unpaid family worker","is_missing":null,"stats":[]},{"value":"320","labl":"Apprentice, unpaid or unspecified","is_missing":null,"stats":[]},{"value":"330","labl":"Trainee","is_missing":null,"stats":[]},{"value":"340","labl":"Apprentice or trainee","is_missing":null,"stats":[]},{"value":"350","labl":"Works for others without wage","is_missing":null,"stats":[]},{"value":"400","labl":"Other","is_missing":null,"stats":[]},{"value":"999","labl":"Unknown\/missing","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"MIGRATE1","name":"MIGRATE1","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"140","loc_end_pos":"141","loc_width":"2","loc_rec_seg_no":null,"labl":"Migration status, 1 year","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"MIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions.","var_catgry":[{"value":"00","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"10","labl":"Same major administrative unit","is_missing":null,"stats":[]},{"value":"11","labl":"Same major, same minor administrative unit","is_missing":null,"stats":[]},{"value":"12","labl":"Same major, different minor administrative unit","is_missing":null,"stats":[]},{"value":"20","labl":"Different major administrative unit","is_missing":null,"stats":[]},{"value":"30","labl":"Abroad","is_missing":null,"stats":[]},{"value":"99","labl":"Unknown\/missing","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"GEOMIG1_1","name":"GEOMIG1_1","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"142","loc_end_pos":"147","loc_width":"6","loc_rec_seg_no":null,"labl":"1st subnational geographic level of residence 1 years prior to survey, world [consistent boundaries over time]","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":"GEOMIG1_1 indicates the major administrative unit in which the person resided one year prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence one year ago, 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).\n\nFor similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here.","var_catgry":[{"value":"040011","labl":"Burgenland [State: Austria]","is_missing":null,"stats":[]},{"value":"040012","labl":"Nieder\u00f6sterreich [State: Austria]","is_missing":null,"stats":[]},{"value":"040013","labl":"Wien [State: Austria]","is_missing":null,"stats":[]},{"value":"040021","labl":"K\u00e4rnten [State: Austria]","is_missing":null,"stats":[]},{"value":"040022","labl":"Steiermark [State: Austria]","is_missing":null,"stats":[]},{"value":"040031","labl":"Ober\u00f6sterreich [State: Austria]","is_missing":null,"stats":[]},{"value":"040032","labl":"Salzburg [State: Austria]","is_missing":null,"stats":[]},{"value":"040033","labl":"Tirol [State: Austria]","is_missing":null,"stats":[]},{"value":"040034","labl":"Vorarlberg [State: Austria]","is_missing":null,"stats":[]},{"value":"040097","labl":"Foreign country [State: Austria]","is_missing":null,"stats":[]},{"value":"040099","labl":"NIU [State: Austria]","is_missing":null,"stats":[]},{"value":"854001","labl":"Boucle du Mouhoun  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854002","labl":"Cascades  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854003","labl":"Centre  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854004","labl":"Centre-Est  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854005","labl":"Centre-Nord  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854006","labl":"Centre-Ouest  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854007","labl":"Centre-Sud  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854008","labl":"Est  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854009","labl":"Hauts-Bassins  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854010","labl":"Nord  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854011","labl":"Plateau Central  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854012","labl":"Sahel  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854013","labl":"Sud-Ouest  [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854997","labl":"Abroad [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854998","labl":"Unknown [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"854999","labl":"NIU [Region: Burkina Faso]","is_missing":null,"stats":[]},{"value":"072001","labl":"Gaborone [District: Botswana]","is_missing":null,"stats":[]},{"value":"072002","labl":"Francistown [District: Botswana]","is_missing":null,"stats":[]},{"value":"072003","labl":"Lobatse [District: Botswana]","is_missing":null,"stats":[]},{"value":"072004","labl":"Selebi Phikwe [District: Botswana]","is_missing":null,"stats":[]},{"value":"072007","labl":"Central Tutume, Sowa [District: Botswana]","is_missing":null,"stats":[]},{"value":"072010","labl":"Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana]","is_missing":null,"stats":[]},{"value":"072011","labl":"Borolong [District: Botswana]","is_missing":null,"stats":[]},{"value":"072020","labl":"South East [District: Botswana]","is_missing":null,"stats":[]},{"value":"072030","labl":"Kweneng, Kweneng South, Kweneng North [District: Botswana]","is_missing":null,"stats":[]},{"value":"072040","labl":"Kgatleng [District: Botswana]","is_missing":null,"stats":[]},{"value":"072050","labl":"Central Serowe\/Palapye [District: Botswana]","is_missing":null,"stats":[]},{"value":"072051","labl":"Central Mahalapye [District: Botswana]","is_missing":null,"stats":[]},{"value":"072052","labl":"Central Bobonong [District: Botswana]","is_missing":null,"stats":[]},{"value":"072053","labl":"Central Boteti, Orapa [District: Botswana]","is_missing":null,"stats":[]},{"value":"072060","labl":"North East [District: Botswana]","is_missing":null,"stats":[]},{"value":"072070","labl":"Ngamiland East [District: Botswana]","is_missing":null,"stats":[]},{"value":"072071","labl":"Ngamiland West, Delta [District: Botswana]","is_missing":null,"stats":[]},{"value":"072072","labl":"Chobe [District: Botswana]","is_missing":null,"stats":[]},{"value":"072080","labl":"Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana]","is_missing":null,"stats":[]},{"value":"072090","labl":"Tshabong (Kgalagadi South) [District: Botswana]","is_missing":null,"stats":[]},{"value":"072091","labl":"Hukunsti (Kgalagadi North) [District: Botswana]","is_missing":null,"stats":[]},{"value":"072092","labl":"Botswana, district unknown [District: Botswana]","is_missing":null,"stats":[]},{"value":"072097","labl":"Abroad [District: Botswana]","is_missing":null,"stats":[]},{"value":"072098","labl":"Unknown [District: Botswana]","is_missing":null,"stats":[]},{"value":"072099","labl":"NIU (not in universe) [District: Botswana]","is_missing":null,"stats":[]},{"value":"124010","labl":"Newfoundland and Labrador [Province: Canada]","is_missing":null,"stats":[]},{"value":"124011","labl":"Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada]","is_missing":null,"stats":[]},{"value":"124012","labl":"Nova Scotia [Province: Canada]","is_missing":null,"stats":[]},{"value":"124013","labl":"New Brunswick [Province: Canada]","is_missing":null,"stats":[]},{"value":"124024","labl":"Quebec [Province: Canada]","is_missing":null,"stats":[]},{"value":"124035","labl":"Ontario [Province: Canada]","is_missing":null,"stats":[]},{"value":"124046","labl":"Manitoba [Province: Canada]","is_missing":null,"stats":[]},{"value":"124047","labl":"Saskatchewan [Province: Canada]","is_missing":null,"stats":[]},{"value":"124048","labl":"Alberta [Province: Canada]","is_missing":null,"stats":[]},{"value":"124059","labl":"British Columbia [Province: Canada]","is_missing":null,"stats":[]},{"value":"124098","labl":"Unknown [Province: Canada]","is_missing":null,"stats":[]},{"value":"124099","labl":"NIU (not in universe) [Province: Canada]","is_missing":null,"stats":[]},{"value":"384001","labl":"Lagunes, Sud Como\u00e9, Sud Bandama, Agneby [Region: Cote D'Ivoire]","is_missing":null,"stats":[]},{"value":"384002","labl":"Haut Sassandra, Marahou\u00e9, Fromager [Region: Cote D'Ivoire]","is_missing":null,"stats":[]},{"value":"384003","labl":"Savanes [Region: Cote D'Ivoire]","is_missing":null,"stats":[]},{"value":"384004","labl":"Vall\u00e9e du Bandam, Lacs, N'Zi Como\u00e9 [Region: Cote D'Ivoire]","is_missing":null,"stats":[]},{"value":"384005","labl":"Moyen Como\u00e9 [Region: Cote D'Ivoire]","is_missing":null,"stats":[]},{"value":"384006","labl":"Montagnes, Moyen Cavally [Region: Cote D'Ivoire]","is_missing":null,"stats":[]},{"value":"384008","labl":"Zanzan [Region: Cote D'Ivoire]","is_missing":null,"stats":[]},{"value":"384009","labl":"Bas Sassandra [Region: Cote 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the person was deaf or had limited hearing.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"2","labl":"No","is_missing":null,"stats":[]},{"value":"9","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Disability Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"DISMUTE","name":"DISMUTE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"157","loc_end_pos":"157","loc_width":"1","loc_rec_seg_no":null,"labl":"Mute or speech 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indicates whether the person lacked full use of at least one arm or hand.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"1","labl":"Yes","is_missing":null,"stats":[]},{"value":"2","labl":"No","is_missing":null,"stats":[]},{"value":"9","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Disability Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"DISMNTL","name":"DISMNTL","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"160","loc_end_pos":"160","loc_width":"1","loc_rec_seg_no":null,"labl":"Mental 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Person Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_RELATE","name":"BW1991A_RELATE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"163","loc_end_pos":"163","loc_width":"1","loc_rec_seg_no":null,"labl":"Relationship to head of household","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>3. Relationship<\/p>\n<div class=\"i1\">What is [the respondent's] relationship to the head of this household?<br \/><br \/>[] 0 Head<br \/>[] 1 Spouse<br \/>[] 2 Son\/daughter<br \/>[] 3 Grandchild<br \/>[] 4 Parent<br \/>[] 5 Brother\/sister<br \/>[] 6 Nephew\/niece<br \/>[] 7 In--law<br \/>[] 8 Other relative\/not related<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A3: Relationship<\/span><\/p>\n\n<p>What is [the respondent]'s relationship to the head of this household?<\/p>\n\n<p>Enter the appropriate one-digit code in the shaded area under column A3 as follows:<\/p>\n<div class=\"i1\">0 Head of household<br \/>1 His\/her spouse<br \/>2 Head's son or daughter<br \/>3 Head's grandchild<br \/>4 Head's parent<br \/>5 Head's brother or sister<br \/>6 Head's nephew or niece<br \/>7 Head's in-law<br \/>8 Other relations or any persons not related<br \/>9 Don't know<\/div><p>In the sample questionnaire in paragraph 97, James Mulemba, as the head of household, is coded 0. Anne is his spouse, so she is coded 1. His two children, Mimi and Anthony, are both coded 2; his nephews, Molelo and David, are coded 6; and the visitor, Thembe, is coded 8.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's relationship to the household head.","var_catgry":[{"value":"0","labl":"Head","is_missing":null,"stats":[]},{"value":"1","labl":"Spouse","is_missing":null,"stats":[]},{"value":"2","labl":"Child","is_missing":null,"stats":[]},{"value":"3","labl":"Grandchild","is_missing":null,"stats":[]},{"value":"4","labl":"Parent","is_missing":null,"stats":[]},{"value":"5","labl":"Sibling","is_missing":null,"stats":[]},{"value":"6","labl":"Niece or nephew","is_missing":null,"stats":[]},{"value":"7","labl":"In law","is_missing":null,"stats":[]},{"value":"8","labl":"Other relative or non-relative","is_missing":null,"stats":[]},{"value":"9","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_SEX","name":"BW1991A_SEX","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"164","loc_end_pos":"164","loc_width":"1","loc_rec_seg_no":null,"labl":"Sex","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>4. Sex<\/p>\n<div class=\"i1\">[] 1 Male <br \/>[] 2 Female<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A4: Sex<\/span><\/p>\n\n<p>Enter the appropriate one-digit code in the shaded area under column A4 as follows:<\/p>\n<div class=\"i1\">1 Male<br \/>2 Female<\/div><p>Usually a person's sex will be obvious, but be careful to get the sex of young children right. Do not guess - ask!<\/p>\n\n<p>James, Anthony, Molelo and David are coded 1 in the sample questionnaire in paragraph 97, whilst Anne, Mimi and Thembe are all coded 2.<\/p>\n\n<p>Before going on to complete column A5, make sure that you have written down the names and the correct relationship and sex codes for every person who spent the night before your visit with the household. Remember to ask about persons described in paragraph 32","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's sex.","var_catgry":[{"value":"1","labl":"Male","is_missing":null,"stats":[]},{"value":"2","labl":"Female","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_AGE","name":"BW1991A_AGE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"165","loc_end_pos":"166","loc_width":"2","loc_rec_seg_no":null,"labl":"Age at last birthday (years)","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>5. Age<\/p>\n<div class=\"i1\">How old is [the respondent]? (Age at last birthday. If under 1 year enter 00) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A5: Age<\/span><\/p>\n\n<p>How old is [the respondent]?<\/p>\n\n<p>This is one of the most important questions in the questionnaire. It is also one that is often difficult to answer correctly. You should take particular care with it. You should record the age of a person in completed years, i.e. as of last birthday.<\/p>\n\n<p>For example, a person aged twenty-six years and four months should be recorded as \"26\". Similarly, a person aged twenty-six years and 10 months should be recorded as \"26\". A child aged under one year should be recorded as \"00\". For persons aged 98 years and over, enter 98. A person aged 98 will therefore be coded 98 and so will a person aged 99 or 104. The code 99 is for \"age not known\" and is to be used only when you cannot possibly estimate a person's age, even using the techniques described below.<\/p>\n\n<p>Some people may not know their ages. When this happens, ask first for the year in which the person was born, then look up the age in the Age Calendar provided inside the back cover of the EA Book or at the back of the Village\/Country List and Botswana Events Calendar. If the year of birth is not known you should try to find out the age by using the Botswana Events Calendar. Ask how old the person was at the time of some known event. Check the answer by relating it to some other event the person can remember well. The events listed in the Botswana Events calendar are arranged by District, and corresponding to each event you will find listed the year in which the event occurred and the number of years ago the event occurred. From this information you can calculate the person's age.<\/p>\n\n<p>If you already know the age of another person in the household, you may find it helpful to ask if the person is older or younger and by how many years. If there is no other way, you may have to estimate the person's age by looking at him\/her (if present). Other documents such as Birth Certificates, Clinic Cards, Passports or Omang Cards could help you in accurately establishing respondents' ages. Suggest to the respondent(s) that they might refer to such documents. They might even show you these documents, but do not demand to see them.<\/p>\n\n<p>When you have made the best estimate you can, you should check whether it is compatible with the person's position in the family\/household. (For example, a child should be at least 12 years younger than his\/her natural mother; of course, if the mother isn't the natural mother, then the age difference will be irrelevant). Some people have fixed ideas about their ages which are mistaken. Do not accept answers that are obviously wrong. Try and get accurate answers.<\/p>\n\n<p><span class=\"pg\">[p.21]<\/span><\/p>\n\n<p>In the sample questionnaire in paragraph 97, James is 39 and Anne is 35. Mimi is only 6 months old, so her age is recorded as 00. Anthony is 14, Molelo is 10, David is 19, and Thembe is 58.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's age at last birthday (years).","var_catgry":[{"value":"00","labl":"Under 1 year","is_missing":null,"stats":[]},{"value":"01","labl":"1","is_missing":null,"stats":[]},{"value":"02","labl":"2","is_missing":null,"stats":[]},{"value":"03","labl":"3","is_missing":null,"stats":[]},{"value":"04","labl":"4","is_missing":null,"stats":[]},{"value":"05","labl":"5","is_missing":null,"stats":[]},{"value":"06","labl":"6","is_missing":null,"stats":[]},{"value":"07","labl":"7","is_missing":null,"stats":[]},{"value":"08","labl":"8","is_missing":null,"stats":[]},{"value":"09","labl":"9","is_missing":null,"stats":[]},{"value":"10","labl":"10","is_missing":null,"stats":[]},{"value":"11","labl":"11","is_missing":null,"stats":[]},{"value":"12","labl":"12","is_missing":null,"stats":[]},{"value":"13","labl":"13","is_missing":null,"stats":[]},{"value":"14","labl":"14","is_missing":null,"stats":[]},{"value":"15","labl":"15","is_missing":null,"stats":[]},{"value":"16","labl":"16","is_missing":null,"stats":[]},{"value":"17","labl":"17","is_missing":null,"stats":[]},{"value":"18","labl":"18","is_missing":null,"stats":[]},{"value":"19","labl":"19","is_missing":null,"stats":[]},{"value":"20","labl":"20","is_missing":null,"stats":[]},{"value":"21","labl":"21","is_missing":null,"stats":[]},{"value":"22","labl":"22","is_missing":null,"stats":[]},{"value":"23","labl":"23","is_missing":null,"stats":[]},{"value":"24","labl":"24","is_missing":null,"stats":[]},{"value":"25","labl":"25","is_missing":null,"stats":[]},{"value":"26","labl":"26","is_missing":null,"stats":[]},{"value":"27","labl":"27","is_missing":null,"stats":[]},{"value":"28","labl":"28","is_missing":null,"stats":[]},{"value":"29","labl":"29","is_missing":null,"stats":[]},{"value":"30","labl":"30","is_missing":null,"stats":[]},{"value":"31","labl":"31","is_missing":null,"stats":[]},{"value":"32","labl":"32","is_missing":null,"stats":[]},{"value":"33","labl":"33","is_missing":null,"stats":[]},{"value":"34","labl":"34","is_missing":null,"stats":[]},{"value":"35","labl":"35","is_missing":null,"stats":[]},{"value":"36","labl":"36","is_missing":null,"stats":[]},{"value":"37","labl":"37","is_missing":null,"stats":[]},{"value":"38","labl":"38","is_missing":null,"stats":[]},{"value":"39","labl":"39","is_missing":null,"stats":[]},{"value":"40","labl":"40","is_missing":null,"stats":[]},{"value":"41","labl":"41","is_missing":null,"stats":[]},{"value":"42","labl":"42","is_missing":null,"stats":[]},{"value":"43","labl":"43","is_missing":null,"stats":[]},{"value":"44","labl":"44","is_missing":null,"stats":[]},{"value":"45","labl":"45","is_missing":null,"stats":[]},{"value":"46","labl":"46","is_missing":null,"stats":[]},{"value":"47","labl":"47","is_missing":null,"stats":[]},{"value":"48","labl":"48","is_missing":null,"stats":[]},{"value":"49","labl":"49","is_missing":null,"stats":[]},{"value":"50","labl":"50","is_missing":null,"stats":[]},{"value":"51","labl":"51","is_missing":null,"stats":[]},{"value":"52","labl":"52","is_missing":null,"stats":[]},{"value":"53","labl":"53","is_missing":null,"stats":[]},{"value":"54","labl":"54","is_missing":null,"stats":[]},{"value":"55","labl":"55","is_missing":null,"stats":[]},{"value":"56","labl":"56","is_missing":null,"stats":[]},{"value":"57","labl":"57","is_missing":null,"stats":[]},{"value":"58","labl":"58","is_missing":null,"stats":[]},{"value":"59","labl":"59","is_missing":null,"stats":[]},{"value":"60","labl":"60","is_missing":null,"stats":[]},{"value":"61","labl":"61","is_missing":null,"stats":[]},{"value":"62","labl":"62","is_missing":null,"stats":[]},{"value":"63","labl":"63","is_missing":null,"stats":[]},{"value":"64","labl":"64","is_missing":null,"stats":[]},{"value":"65","labl":"65","is_missing":null,"stats":[]},{"value":"66","labl":"66","is_missing":null,"stats":[]},{"value":"67","labl":"67","is_missing":null,"stats":[]},{"value":"68","labl":"68","is_missing":null,"stats":[]},{"value":"69","labl":"69","is_missing":null,"stats":[]},{"value":"70","labl":"70","is_missing":null,"stats":[]},{"value":"71","labl":"71","is_missing":null,"stats":[]},{"value":"72","labl":"72","is_missing":null,"stats":[]},{"value":"73","labl":"73","is_missing":null,"stats":[]},{"value":"74","labl":"74","is_missing":null,"stats":[]},{"value":"75","labl":"75","is_missing":null,"stats":[]},{"value":"76","labl":"76","is_missing":null,"stats":[]},{"value":"77","labl":"77","is_missing":null,"stats":[]},{"value":"78","labl":"78","is_missing":null,"stats":[]},{"value":"79","labl":"79","is_missing":null,"stats":[]},{"value":"80","labl":"80","is_missing":null,"stats":[]},{"value":"81","labl":"81","is_missing":null,"stats":[]},{"value":"82","labl":"82","is_missing":null,"stats":[]},{"value":"83","labl":"83","is_missing":null,"stats":[]},{"value":"84","labl":"84","is_missing":null,"stats":[]},{"value":"85","labl":"85","is_missing":null,"stats":[]},{"value":"86","labl":"86","is_missing":null,"stats":[]},{"value":"87","labl":"87","is_missing":null,"stats":[]},{"value":"88","labl":"88","is_missing":null,"stats":[]},{"value":"89","labl":"89","is_missing":null,"stats":[]},{"value":"90","labl":"90+","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_CITIZEN","name":"BW1991A_CITIZEN","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"167","loc_end_pos":"168","loc_width":"2","loc_rec_seg_no":null,"labl":"Country of citizenship","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>6. Citizenship<\/p>\n<div class=\"i1\">What is the country of [the respondent's] citizenship?<br \/><br \/>[] 01 Botswana <br \/>[] 02 Angola <br \/>[] 03 Lesotho <br \/>[] 04 Malawi <br \/>[] 05 Mozambique <br \/>[] 06 Namibia <br \/>[] 07 South Africa <br \/>[] 08 Swaziland <br \/>[] 09 Zambia <br \/>[] 10 Zimbabwe <br \/>[] Other -- see list<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A6: Citizenship<\/span><\/p>\n\n<p>What is the country of [the respondent]'s citizenship?<\/p>\n\n<p>For Botswana citizens, enter 01 in the shaded area under column A6. For citizens of other countries, write the name of the country in the unshaded area and the code for that country in the shaded area beneath. The codes for most southern African countries are shown on the questionnaire. If a person is a citizen of a country not listed, look up the code in the Village\/Country List.<\/p>\n\n<p><span class=\"pg\">[p.22]<\/span><\/p>\n\n<p>In the sample questionnaire in paragraph 103, all the persons listed are citizens of Botswana (code 01), except for Thembe, who is a citizen of South Africa. \"RSA\" is written in the unshaded area under column A6, in line 6, whilst the code for South Africa, 07, is written in the shaded area.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's country of citizenship.","var_catgry":[{"value":"01","labl":"Botswana","is_missing":null,"stats":[]},{"value":"02","labl":"Angola","is_missing":null,"stats":[]},{"value":"03","labl":"Lesotho","is_missing":null,"stats":[]},{"value":"04","labl":"Malawi","is_missing":null,"stats":[]},{"value":"06","labl":"Namibia","is_missing":null,"stats":[]},{"value":"07","labl":"South Africa","is_missing":null,"stats":[]},{"value":"09","labl":"Zambia","is_missing":null,"stats":[]},{"value":"10","labl":"Zimbabwe","is_missing":null,"stats":[]},{"value":"11","labl":"Tanzania","is_missing":null,"stats":[]},{"value":"21","labl":"Canada","is_missing":null,"stats":[]},{"value":"23","labl":"China","is_missing":null,"stats":[]},{"value":"35","labl":"Germany","is_missing":null,"stats":[]},{"value":"36","labl":"Ghana","is_missing":null,"stats":[]},{"value":"39","labl":"India","is_missing":null,"stats":[]},{"value":"57","labl":"Mauritius","is_missing":null,"stats":[]},{"value":"60","labl":"Netherlands","is_missing":null,"stats":[]},{"value":"63","labl":"Pakistan","is_missing":null,"stats":[]},{"value":"75","labl":"Sri Lanka","is_missing":null,"stats":[]},{"value":"85","labl":"United Kingdom","is_missing":null,"stats":[]},{"value":"86","labl":"USA","is_missing":null,"stats":[]},{"value":"91","labl":"Africa, other country","is_missing":null,"stats":[]},{"value":"92","labl":"Asia, other country","is_missing":null,"stats":[]},{"value":"93","labl":"Europe, other country","is_missing":null,"stats":[]},{"value":"94","labl":"America and Oceania, other country","is_missing":null,"stats":[]},{"value":"99","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_USURES","name":"BW1991A_USURES","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"169","loc_end_pos":"169","loc_width":"1","loc_rec_seg_no":null,"labl":"Place of usual residence","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>7. Now<\/p>\n<div class=\"i1\">Where does [the respondent] usually live?<br \/><br \/>[] 0001 In this housing unit <br \/>[] 0002 Elsewhere in this locality <br \/>[] _ _ _ _ Elsewhere in Botswana (see list) <br \/>[] 77XX Other country (see list)<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A7: Place of Usual Living<\/span><\/p>\n\n<p>Where does [the respondent] usually live?<\/p>\n\n<p>The place where a person spends or lives most of the time is that person's place of usual living. For example, for children in boarding school or teachers teaching away from home, enter the name and code of the village where the school is located - or, if the school is outside Botswana, enter the name and code of the country where the school is located.<\/p>\n\n<p>For a person who usually lives in this housing unit (i.e. where he\/she is being enumerated), enter 0001. For a person who usually lives somewhere else in the general locality (as indicated on the top of the questionnaire) where enumeration is taking place, enter 0002. (Though, in urban areas, if they live elsewhere in the same town they should be coded 0002 even if the actual locality within that town is different from the one stated at the top of the questionnaire).<\/p>\n\n<p>For a person who usually lives somewhere else in Botswana, write down the name of the place in the unshaded area under column A7. If the place is a lands area or cattlepost write down the name of the village to which the lands area or cattlepost belongs. If the place 1s a freehold farm, write down the name of the nearest village. Check from the Village\/Country List for the appropriate code of the village. Enter the code on the questionnaire, below the name of the village. If the person lives in an Extension Area in a town, write down the flame of the town and enter the appropriate code for the town.<\/p>\n\n<p>For a person who usually lives outside Botswana, enter the name and code number of the country, prefixing the code number by 77, e.g. if Zimbabwe, write code 7710.<\/p>\n\n<p>For non-citizens working pern1anently or on contract in Botswana, their place of usual living is where they usually live in Botswana. People whose usual place of living is outside Botswana will include: tourists or visiting businessmen (in Botswana for anything from a few days to a month or so); children who are at boarding school outside Botswana, but who, during the census, are here on holiday; and people who work outside Botswana (e.g. on the mines in South Africa) and are visiting their families or friends for a period of leave.<\/p>\n\n<p>In the sample questionnaire in paragraphl03, James, Anne, Mimi and Molelo usually live in this household, so they are coded 0001 in column A1. Their son, Anthony, is usually away at boarding school in Francistown, so he is coded 0201. Note that \"Francistown\" has been written in the unshaded area and the code for Francis town is in the shaded area of column A 7, in the line corresponding to Anthony. David usually lives elsewhere in the same locality, although he frequently spends the night with James and his family. He is therefore coded 0002. Thembe usually lives in South Africa, so \"RSA\" is written in the unshaded area and 7707 is written in the shaded area.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's place of usual residence.","var_catgry":[{"value":"1","labl":"In this housing unit or elsewhere in this locality","is_missing":null,"stats":[]},{"value":"3","labl":"Elsewhere in Botswana","is_missing":null,"stats":[]},{"value":"4","labl":"Abroad","is_missing":null,"stats":[]},{"value":"9","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_RES1YR","name":"BW1991A_RES1YR","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"170","loc_end_pos":"170","loc_width":"1","loc_rec_seg_no":null,"labl":"Place of residence 1 year ago","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>8. A year ago<\/p>\n<div class=\"i1\">Where did [the respondent] live this time last year?<br \/><br \/>[] 0000 Not born<br \/>[] 0001 In this housing unit<br \/>[] 0002 Elsewhere in this locality<br \/>[] _ _ _ _ Elsewhere in Botswana (see list)<br \/>[] 77XX Other country (see list)<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column 8: Past Residence<\/span><\/p>\n\n<p>Where did [the respondent] live this time last year?<\/p>\n\n<p>This question deals with the usual place where each person was living a year before the census. Proceed as follows:<\/p>\n\n<p><span class=\"pg\">[p.23]<\/span><\/p>\n\n<p>For children who are under one year of age at the time of enumeration, enter 0000 (because this time a year ago they had not been born).<\/p>\n\n<p>For a person who is living in the same housing unit now as last year, enter 0001. For a person who was living elsewhere in the locality (as indicated on the top of the questionnaire) last year, enter 0002.<\/p>\n\n<p>For a person who was living somewhere else in Botswana, write down the name of the place (as described for A7), and also look up the appropriate code from the Village\/Country List as above. Enter the code below the name of the place you have just written.<\/p>\n\n<p>For a person who was living outside Botswana a year before the census, enter the name and code number for the country, prefixing the code by 77, e.g. if Lesotho, enter code 7703.<\/p>\n\n<p>Remember, this is the usual place of residence a year before the census - even if on the same night one year ago they were temporarily away (e.g. visiting friends\/relatives, in hospital).<\/p>\n\n<p>In the sample questionnaire in paragraph 103, James, Anne and Molelo were all living in this household a year ago, so they are coded 0001 in column AB. Since Mimi had not yet been born a year ago, she is coded 0000. Anthony was living at the boarding school in Francis town a year ago, so he is coded as he was in column A7. David was living in Gaborone last year, so \"Gaborone\" is written in the unshaded area and the code 0101 is entered in the shaded area. Thembe was living in South Africa, and she is coded as she was in column A7.","var_universe":"Botswana 1991: Persons age 1+ [discrepancies: type I trace; type II none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's place of residence 1 year ago.","var_catgry":[{"value":"1","labl":"In this housing unit","is_missing":null,"stats":[]},{"value":"2","labl":"Elsewhere in this locality","is_missing":null,"stats":[]},{"value":"3","labl":"Elsewhere in Botswana","is_missing":null,"stats":[]},{"value":"4","labl":"Abroad","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_VISITSTAT","name":"BW1991A_VISITSTAT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"171","loc_end_pos":"171","loc_width":"1","loc_rec_seg_no":null,"labl":"Visitor status","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":"Botswana 1991: Persons in private households [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the person is a visitor.","var_catgry":[{"value":"1","labl":"Visitors","is_missing":null,"stats":[]},{"value":"2","labl":"Non visitors","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Other Person Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_DISBLIND","name":"BW1991A_DISBLIND","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"172","loc_end_pos":"172","loc_width":"1","loc_rec_seg_no":null,"labl":"Disability seeing","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section C<\/span>\n<br \/><span class=\"em\">[Disability]<\/span><\/p>\n\n<p>3. Does any person(s) listed in from section A-question 2, or section B-question 3 suffer from any of the following disabilities?<\/p>\n<div class=\"i1\">[] 11 Defect of seeing in 1 eye <br \/>[] 12 Defect of seeing in 2 eyes <br \/>[] 13 Blindness in 1 eye <br \/>[] 14 Blindness in 2 eyes <br \/>[] 21 Defect of hearing in 1 ear <br \/>[] 22 Defect of hearing in 2 ears <br \/>[] 23 Deafness in 1 ear<br \/>[] 24 Deafness in 2 ears<br \/>[] 31 Defect of speech<br \/>[] 32 Inability to speak<br \/>[] 41 Inability to use 1 leg <br \/>[] 42 Inability to use 2 legs <br \/>[] 51 Inability to use 1 arm <br \/>[] 52 Inability to use 2 arms <br \/>[] 61 Moderate retardation <br \/>[] 62 Severe retardation<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns C1\/C2\/C3: Disability <\/span><div class=\"i1\">11 Defect of seeing in 1 eye<br \/>12 Defect of seeing in 2 eyes<br \/>13 Blindness in 1 eye<br \/>14 Blindness in 2 eyes<br \/>21 Defect of hearing in 1 ear<br \/>22 Defect of hearing in 2 ears<br \/>23 Deafness in 1 ear<br \/>24 Deafness in 2 ears<br \/>31 Defect of speech<br \/>32 Inability to speak<br \/>41 Inability to use 1 leg<br \/>42 Inability to use 2 legs<br \/>51 Inability to use 1 arm<br \/>52 Inability to use 2 arms<br \/>61 Moderate Retardation<br \/>62 Severe Retardation<\/div><p>You should read out the list of disabilities to the respondent as a reminder to him or her of the types of disabilities to which we are referring. Be very tactful in asking these questions so as not to cause offence or embarrassment.<\/p>\n\n<p>If anyone does have a disability, enter the person's first name in column C1, then enter in column C2 the same serial number that you assigned to this person in column A2 or B2. A person from Part A will have a serial number 01, 02 or 03, etc., whilst a person from Part B will have a serial number 91, 92 or 93, etc.<\/p>\n\n<p>A disabled person has incapacities as a result of physical or mental deficiencies such as bodily abnormalities, defects and impairments. Impairments are defects of structure or functions of the body which give rise to personal inabilities to perform necessary activities. The defects and impairments might occur from birth, or may be brought about by disease, injury or just old age.<\/p>\n\n<p>Defect of Seeing: A person wearing glasses will not usually be defined as having a defect of seeing. Only if, when wearing glasses, the person cannot count the fingers of a hand from a distance of 3 metres will you record him\/her as having a seeing defect. If the defect is in one eye, code 11, and, if the defect is in both eyes, code 12. If there is complete blindness in one eye enter 13; if there is blindness in both eyes enter 14.<\/p>\n\n<p>Defect of Hearing: If a person cannot hear a whisper at a distance of 2 metres, that person is said to have a defect of hearing. If the defect is in one ear enter code 21, if both ears are affected, enter code 22. If there is complete deafness in one ear enter 23; if the deafness is in both ears enter 24.<\/p>\n\n<p>Defect of Speech: A person who makes unintelligible speech, stammers or speaks with an abnormal voice is said to have a defect of speech. If this defect applies, enter code 31.<\/p>\n\n<p>Inability to Speak: For a person who cannot speak at all (i.e. is completely dumb or mute), enter 32.<\/p>\n\n<p>Inability to Use One or Both Legs: For a person who has one leg lame or a leg or foot missing enter 41; if both legs are lame or both feet\/legs are missing, enter 42.<\/p>\n\n<p><span class=\"pg\">[p.43]<\/span><\/p>\n\n<p>Inability to Use One or Both Arms: For a person who has one arm lame or a hand or arm missing enter 51; if both arms are lame or both hands\/arms are missing, code 52.<\/p>\n\n<p>Mental Retardation: A person who is capable of taking care of himself\/herself but who cannot adjust to a situation needing ordinary skills consistent with age is said to be moderately retarded, and the code should be 61.<\/p>\n\n<p>A person who, despite good physical condition, is incapable of doing normal daily self-care activities consistent with age is said to be severely mentally retarded. For this condition enter 62.<\/p>\n\n<p>If a person suffers from a combination of any of the listed disabilities, enter the applicable codes, e.g. if there is a defect of hearing in two ears and a defect of speech enter 2231. After you have recorded the disability code(s) for a particular person, fill the remaining boxes with dashes.<\/p>\n\n<p>The relevant portion of the sample questionnaire on page 15 is shown below.<\/p>\n\n<p>[Diagram on page 43 omitted]<\/p>\n\n<p>Thembe is blind in one eye, so she is assigned serial number 07 (since that was her serial number in Pan A), and the disability code is 13.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the person has a seeing disability.","var_catgry":[{"value":"0","labl":"None","is_missing":null,"stats":[]},{"value":"1","labl":"Defect of seeing in one eye","is_missing":null,"stats":[]},{"value":"2","labl":"Defect of seeing in two eyes","is_missing":null,"stats":[]},{"value":"3","labl":"Blindness in one eye","is_missing":null,"stats":[]},{"value":"4","labl":"Blindness in two eyes","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Disability Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_DISHEAR","name":"BW1991A_DISHEAR","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"173","loc_end_pos":"173","loc_width":"1","loc_rec_seg_no":null,"labl":"Disability hearing","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section C<\/span>\n<br \/><span class=\"em\">[Disability]<\/span><\/p>\n\n<p>3. Does any person(s) listed in from section A-question 2, or section B-question 3 suffer from any of the following disabilities?<\/p>\n<div class=\"i1\">[] 11 Defect of seeing in 1 eye <br \/>[] 12 Defect of seeing in 2 eyes <br \/>[] 13 Blindness in 1 eye <br \/>[] 14 Blindness in 2 eyes <br \/>[] 21 Defect of hearing in 1 ear <br \/>[] 22 Defect of hearing in 2 ears <br \/>[] 23 Deafness in 1 ear<br \/>[] 24 Deafness in 2 ears<br \/>[] 31 Defect of speech<br \/>[] 32 Inability to speak<br \/>[] 41 Inability to use 1 leg <br \/>[] 42 Inability to use 2 legs <br \/>[] 51 Inability to use 1 arm <br \/>[] 52 Inability to use 2 arms <br \/>[] 61 Moderate retardation <br \/>[] 62 Severe retardation<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns C1\/C2\/C3: Disability <\/span><div class=\"i1\">11 Defect of seeing in 1 eye<br \/>12 Defect of seeing in 2 eyes<br \/>13 Blindness in 1 eye<br \/>14 Blindness in 2 eyes<br \/>21 Defect of hearing in 1 ear<br \/>22 Defect of hearing in 2 ears<br \/>23 Deafness in 1 ear<br \/>24 Deafness in 2 ears<br \/>31 Defect of speech<br \/>32 Inability to speak<br \/>41 Inability to use 1 leg<br \/>42 Inability to use 2 legs<br \/>51 Inability to use 1 arm<br \/>52 Inability to use 2 arms<br \/>61 Moderate Retardation<br \/>62 Severe Retardation<\/div><p>You should read out the list of disabilities to the respondent as a reminder to him or her of the types of disabilities to which we are referring. Be very tactful in asking these questions so as not to cause offence or embarrassment.<\/p>\n\n<p>If anyone does have a disability, enter the person's first name in column C1, then enter in column C2 the same serial number that you assigned to this person in column A2 or B2. A person from Part A will have a serial number 01, 02 or 03, etc., whilst a person from Part B will have a serial number 91, 92 or 93, etc.<\/p>\n\n<p>A disabled person has incapacities as a result of physical or mental deficiencies such as bodily abnormalities, defects and impairments. Impairments are defects of structure or functions of the body which give rise to personal inabilities to perform necessary activities. The defects and impairments might occur from birth, or may be brought about by disease, injury or just old age.<\/p>\n\n<p>Defect of Seeing: A person wearing glasses will not usually be defined as having a defect of seeing. Only if, when wearing glasses, the person cannot count the fingers of a hand from a distance of 3 metres will you record him\/her as having a seeing defect. If the defect is in one eye, code 11, and, if the defect is in both eyes, code 12. If there is complete blindness in one eye enter 13; if there is blindness in both eyes enter 14.<\/p>\n\n<p>Defect of Hearing: If a person cannot hear a whisper at a distance of 2 metres, that person is said to have a defect of hearing. If the defect is in one ear enter code 21, if both ears are affected, enter code 22. If there is complete deafness in one ear enter 23; if the deafness is in both ears enter 24.<\/p>\n\n<p>Defect of Speech: A person who makes unintelligible speech, stammers or speaks with an abnormal voice is said to have a defect of speech. If this defect applies, enter code 31.<\/p>\n\n<p>Inability to Speak: For a person who cannot speak at all (i.e. is completely dumb or mute), enter 32.<\/p>\n\n<p>Inability to Use One or Both Legs: For a person who has one leg lame or a leg or foot missing enter 41; if both legs are lame or both feet\/legs are missing, enter 42.<\/p>\n\n<p><span class=\"pg\">[p.43]<\/span><\/p>\n\n<p>Inability to Use One or Both Arms: For a person who has one arm lame or a hand or arm missing enter 51; if both arms are lame or both hands\/arms are missing, code 52.<\/p>\n\n<p>Mental Retardation: A person who is capable of taking care of himself\/herself but who cannot adjust to a situation needing ordinary skills consistent with age is said to be moderately retarded, and the code should be 61.<\/p>\n\n<p>A person who, despite good physical condition, is incapable of doing normal daily self-care activities consistent with age is said to be severely mentally retarded. For this condition enter 62.<\/p>\n\n<p>If a person suffers from a combination of any of the listed disabilities, enter the applicable codes, e.g. if there is a defect of hearing in two ears and a defect of speech enter 2231. After you have recorded the disability code(s) for a particular person, fill the remaining boxes with dashes.<\/p>\n\n<p>The relevant portion of the sample questionnaire on page 15 is shown below.<\/p>\n\n<p>[Diagram on page 43 omitted]<\/p>\n\n<p>Thembe is blind in one eye, so she is assigned serial number 07 (since that was her serial number in Pan A), and the disability code is 13.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the person has a hearing disability.","var_catgry":[{"value":"0","labl":"None","is_missing":null,"stats":[]},{"value":"1","labl":"Defect of hearing in one ear","is_missing":null,"stats":[]},{"value":"2","labl":"Defect of hearing in two ears","is_missing":null,"stats":[]},{"value":"3","labl":"Deafness in one ear","is_missing":null,"stats":[]},{"value":"4","labl":"Deafness in two ears","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Disability Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_DISSPEAK","name":"BW1991A_DISSPEAK","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"174","loc_end_pos":"174","loc_width":"1","loc_rec_seg_no":null,"labl":"Disability of speech","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section C<\/span>\n<br \/><span class=\"em\">[Disability]<\/span><\/p>\n\n<p>3. Does any person(s) listed in from section A-question 2, or section B-question 3 suffer from any of the following disabilities?<\/p>\n<div class=\"i1\">[] 11 Defect of seeing in 1 eye <br \/>[] 12 Defect of seeing in 2 eyes <br \/>[] 13 Blindness in 1 eye <br \/>[] 14 Blindness in 2 eyes <br \/>[] 21 Defect of hearing in 1 ear <br \/>[] 22 Defect of hearing in 2 ears <br \/>[] 23 Deafness in 1 ear<br \/>[] 24 Deafness in 2 ears<br \/>[] 31 Defect of speech<br \/>[] 32 Inability to speak<br \/>[] 41 Inability to use 1 leg <br \/>[] 42 Inability to use 2 legs <br \/>[] 51 Inability to use 1 arm <br \/>[] 52 Inability to use 2 arms <br \/>[] 61 Moderate retardation <br \/>[] 62 Severe retardation<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns C1\/C2\/C3: Disability <\/span><div class=\"i1\">11 Defect of seeing in 1 eye<br \/>12 Defect of seeing in 2 eyes<br \/>13 Blindness in 1 eye<br \/>14 Blindness in 2 eyes<br \/>21 Defect of hearing in 1 ear<br \/>22 Defect of hearing in 2 ears<br \/>23 Deafness in 1 ear<br \/>24 Deafness in 2 ears<br \/>31 Defect of speech<br \/>32 Inability to speak<br \/>41 Inability to use 1 leg<br \/>42 Inability to use 2 legs<br \/>51 Inability to use 1 arm<br \/>52 Inability to use 2 arms<br \/>61 Moderate Retardation<br \/>62 Severe Retardation<\/div><p>You should read out the list of disabilities to the respondent as a reminder to him or her of the types of disabilities to which we are referring. Be very tactful in asking these questions so as not to cause offence or embarrassment.<\/p>\n\n<p>If anyone does have a disability, enter the person's first name in column C1, then enter in column C2 the same serial number that you assigned to this person in column A2 or B2. A person from Part A will have a serial number 01, 02 or 03, etc., whilst a person from Part B will have a serial number 91, 92 or 93, etc.<\/p>\n\n<p>A disabled person has incapacities as a result of physical or mental deficiencies such as bodily abnormalities, defects and impairments. Impairments are defects of structure or functions of the body which give rise to personal inabilities to perform necessary activities. The defects and impairments might occur from birth, or may be brought about by disease, injury or just old age.<\/p>\n\n<p>Defect of Seeing: A person wearing glasses will not usually be defined as having a defect of seeing. Only if, when wearing glasses, the person cannot count the fingers of a hand from a distance of 3 metres will you record him\/her as having a seeing defect. If the defect is in one eye, code 11, and, if the defect is in both eyes, code 12. If there is complete blindness in one eye enter 13; if there is blindness in both eyes enter 14.<\/p>\n\n<p>Defect of Hearing: If a person cannot hear a whisper at a distance of 2 metres, that person is said to have a defect of hearing. If the defect is in one ear enter code 21, if both ears are affected, enter code 22. If there is complete deafness in one ear enter 23; if the deafness is in both ears enter 24.<\/p>\n\n<p>Defect of Speech: A person who makes unintelligible speech, stammers or speaks with an abnormal voice is said to have a defect of speech. If this defect applies, enter code 31.<\/p>\n\n<p>Inability to Speak: For a person who cannot speak at all (i.e. is completely dumb or mute), enter 32.<\/p>\n\n<p>Inability to Use One or Both Legs: For a person who has one leg lame or a leg or foot missing enter 41; if both legs are lame or both feet\/legs are missing, enter 42.<\/p>\n\n<p><span class=\"pg\">[p.43]<\/span><\/p>\n\n<p>Inability to Use One or Both Arms: For a person who has one arm lame or a hand or arm missing enter 51; if both arms are lame or both hands\/arms are missing, code 52.<\/p>\n\n<p>Mental Retardation: A person who is capable of taking care of himself\/herself but who cannot adjust to a situation needing ordinary skills consistent with age is said to be moderately retarded, and the code should be 61.<\/p>\n\n<p>A person who, despite good physical condition, is incapable of doing normal daily self-care activities consistent with age is said to be severely mentally retarded. For this condition enter 62.<\/p>\n\n<p>If a person suffers from a combination of any of the listed disabilities, enter the applicable codes, e.g. if there is a defect of hearing in two ears and a defect of speech enter 2231. After you have recorded the disability code(s) for a particular person, fill the remaining boxes with dashes.<\/p>\n\n<p>The relevant portion of the sample questionnaire on page 15 is shown below.<\/p>\n\n<p>[Diagram on page 43 omitted]<\/p>\n\n<p>Thembe is blind in one eye, so she is assigned serial number 07 (since that was her serial number in Pan A), and the disability code is 13.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the person has a speech disability.","var_catgry":[{"value":"0","labl":"None","is_missing":null,"stats":[]},{"value":"1","labl":"Defect of speech","is_missing":null,"stats":[]},{"value":"2","labl":"Inability to speak","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Disability Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_DISLEGS","name":"BW1991A_DISLEGS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"175","loc_end_pos":"175","loc_width":"1","loc_rec_seg_no":null,"labl":"Disability of the legs","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section C<\/span>\n<br \/><span class=\"em\">[Disability]<\/span><\/p>\n\n<p>3. Does any person(s) listed in from section A-question 2, or section B-question 3 suffer from any of the following disabilities?<\/p>\n<div class=\"i1\">[] 11 Defect of seeing in 1 eye <br \/>[] 12 Defect of seeing in 2 eyes <br \/>[] 13 Blindness in 1 eye <br \/>[] 14 Blindness in 2 eyes <br \/>[] 21 Defect of hearing in 1 ear <br \/>[] 22 Defect of hearing in 2 ears <br \/>[] 23 Deafness in 1 ear<br \/>[] 24 Deafness in 2 ears<br \/>[] 31 Defect of speech<br \/>[] 32 Inability to speak<br \/>[] 41 Inability to use 1 leg <br \/>[] 42 Inability to use 2 legs <br \/>[] 51 Inability to use 1 arm <br \/>[] 52 Inability to use 2 arms <br \/>[] 61 Moderate retardation <br \/>[] 62 Severe retardation<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns C1\/C2\/C3: Disability <\/span><div class=\"i1\">11 Defect of seeing in 1 eye<br \/>12 Defect of seeing in 2 eyes<br \/>13 Blindness in 1 eye<br \/>14 Blindness in 2 eyes<br \/>21 Defect of hearing in 1 ear<br \/>22 Defect of hearing in 2 ears<br \/>23 Deafness in 1 ear<br \/>24 Deafness in 2 ears<br \/>31 Defect of speech<br \/>32 Inability to speak<br \/>41 Inability to use 1 leg<br \/>42 Inability to use 2 legs<br \/>51 Inability to use 1 arm<br \/>52 Inability to use 2 arms<br \/>61 Moderate Retardation<br \/>62 Severe Retardation<\/div><p>You should read out the list of disabilities to the respondent as a reminder to him or her of the types of disabilities to which we are referring. Be very tactful in asking these questions so as not to cause offence or embarrassment.<\/p>\n\n<p>If anyone does have a disability, enter the person's first name in column C1, then enter in column C2 the same serial number that you assigned to this person in column A2 or B2. A person from Part A will have a serial number 01, 02 or 03, etc., whilst a person from Part B will have a serial number 91, 92 or 93, etc.<\/p>\n\n<p>A disabled person has incapacities as a result of physical or mental deficiencies such as bodily abnormalities, defects and impairments. Impairments are defects of structure or functions of the body which give rise to personal inabilities to perform necessary activities. The defects and impairments might occur from birth, or may be brought about by disease, injury or just old age.<\/p>\n\n<p>Defect of Seeing: A person wearing glasses will not usually be defined as having a defect of seeing. Only if, when wearing glasses, the person cannot count the fingers of a hand from a distance of 3 metres will you record him\/her as having a seeing defect. If the defect is in one eye, code 11, and, if the defect is in both eyes, code 12. If there is complete blindness in one eye enter 13; if there is blindness in both eyes enter 14.<\/p>\n\n<p>Defect of Hearing: If a person cannot hear a whisper at a distance of 2 metres, that person is said to have a defect of hearing. If the defect is in one ear enter code 21, if both ears are affected, enter code 22. If there is complete deafness in one ear enter 23; if the deafness is in both ears enter 24.<\/p>\n\n<p>Defect of Speech: A person who makes unintelligible speech, stammers or speaks with an abnormal voice is said to have a defect of speech. If this defect applies, enter code 31.<\/p>\n\n<p>Inability to Speak: For a person who cannot speak at all (i.e. is completely dumb or mute), enter 32.<\/p>\n\n<p>Inability to Use One or Both Legs: For a person who has one leg lame or a leg or foot missing enter 41; if both legs are lame or both feet\/legs are missing, enter 42.<\/p>\n\n<p><span class=\"pg\">[p.43]<\/span><\/p>\n\n<p>Inability to Use One or Both Arms: For a person who has one arm lame or a hand or arm missing enter 51; if both arms are lame or both hands\/arms are missing, code 52.<\/p>\n\n<p>Mental Retardation: A person who is capable of taking care of himself\/herself but who cannot adjust to a situation needing ordinary skills consistent with age is said to be moderately retarded, and the code should be 61.<\/p>\n\n<p>A person who, despite good physical condition, is incapable of doing normal daily self-care activities consistent with age is said to be severely mentally retarded. For this condition enter 62.<\/p>\n\n<p>If a person suffers from a combination of any of the listed disabilities, enter the applicable codes, e.g. if there is a defect of hearing in two ears and a defect of speech enter 2231. After you have recorded the disability code(s) for a particular person, fill the remaining boxes with dashes.<\/p>\n\n<p>The relevant portion of the sample questionnaire on page 15 is shown below.<\/p>\n\n<p>[Diagram on page 43 omitted]<\/p>\n\n<p>Thembe is blind in one eye, so she is assigned serial number 07 (since that was her serial number in Pan A), and the disability code is 13.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the person has a disability with his or her legs.","var_catgry":[{"value":"0","labl":"None","is_missing":null,"stats":[]},{"value":"1","labl":"Inability to use one leg","is_missing":null,"stats":[]},{"value":"2","labl":"Inability to use two legs","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Disability Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_DISARMS","name":"BW1991A_DISARMS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"176","loc_end_pos":"176","loc_width":"1","loc_rec_seg_no":null,"labl":"Disability of the arms","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section C<\/span>\n<br \/><span class=\"em\">[Disability]<\/span><\/p>\n\n<p>3. Does any person(s) listed in from section A-question 2, or section B-question 3 suffer from any of the following disabilities?<\/p>\n<div class=\"i1\">[] 11 Defect of seeing in 1 eye <br \/>[] 12 Defect of seeing in 2 eyes <br \/>[] 13 Blindness in 1 eye <br \/>[] 14 Blindness in 2 eyes <br \/>[] 21 Defect of hearing in 1 ear <br \/>[] 22 Defect of hearing in 2 ears <br \/>[] 23 Deafness in 1 ear<br \/>[] 24 Deafness in 2 ears<br \/>[] 31 Defect of speech<br \/>[] 32 Inability to speak<br \/>[] 41 Inability to use 1 leg <br \/>[] 42 Inability to use 2 legs <br \/>[] 51 Inability to use 1 arm <br \/>[] 52 Inability to use 2 arms <br \/>[] 61 Moderate retardation <br \/>[] 62 Severe retardation<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns C1\/C2\/C3: Disability <\/span><div class=\"i1\">11 Defect of seeing in 1 eye<br \/>12 Defect of seeing in 2 eyes<br \/>13 Blindness in 1 eye<br \/>14 Blindness in 2 eyes<br \/>21 Defect of hearing in 1 ear<br \/>22 Defect of hearing in 2 ears<br \/>23 Deafness in 1 ear<br \/>24 Deafness in 2 ears<br \/>31 Defect of speech<br \/>32 Inability to speak<br \/>41 Inability to use 1 leg<br \/>42 Inability to use 2 legs<br \/>51 Inability to use 1 arm<br \/>52 Inability to use 2 arms<br \/>61 Moderate Retardation<br \/>62 Severe Retardation<\/div><p>You should read out the list of disabilities to the respondent as a reminder to him or her of the types of disabilities to which we are referring. Be very tactful in asking these questions so as not to cause offence or embarrassment.<\/p>\n\n<p>If anyone does have a disability, enter the person's first name in column C1, then enter in column C2 the same serial number that you assigned to this person in column A2 or B2. A person from Part A will have a serial number 01, 02 or 03, etc., whilst a person from Part B will have a serial number 91, 92 or 93, etc.<\/p>\n\n<p>A disabled person has incapacities as a result of physical or mental deficiencies such as bodily abnormalities, defects and impairments. Impairments are defects of structure or functions of the body which give rise to personal inabilities to perform necessary activities. The defects and impairments might occur from birth, or may be brought about by disease, injury or just old age.<\/p>\n\n<p>Defect of Seeing: A person wearing glasses will not usually be defined as having a defect of seeing. Only if, when wearing glasses, the person cannot count the fingers of a hand from a distance of 3 metres will you record him\/her as having a seeing defect. If the defect is in one eye, code 11, and, if the defect is in both eyes, code 12. If there is complete blindness in one eye enter 13; if there is blindness in both eyes enter 14.<\/p>\n\n<p>Defect of Hearing: If a person cannot hear a whisper at a distance of 2 metres, that person is said to have a defect of hearing. If the defect is in one ear enter code 21, if both ears are affected, enter code 22. If there is complete deafness in one ear enter 23; if the deafness is in both ears enter 24.<\/p>\n\n<p>Defect of Speech: A person who makes unintelligible speech, stammers or speaks with an abnormal voice is said to have a defect of speech. If this defect applies, enter code 31.<\/p>\n\n<p>Inability to Speak: For a person who cannot speak at all (i.e. is completely dumb or mute), enter 32.<\/p>\n\n<p>Inability to Use One or Both Legs: For a person who has one leg lame or a leg or foot missing enter 41; if both legs are lame or both feet\/legs are missing, enter 42.<\/p>\n\n<p><span class=\"pg\">[p.43]<\/span><\/p>\n\n<p>Inability to Use One or Both Arms: For a person who has one arm lame or a hand or arm missing enter 51; if both arms are lame or both hands\/arms are missing, code 52.<\/p>\n\n<p>Mental Retardation: A person who is capable of taking care of himself\/herself but who cannot adjust to a situation needing ordinary skills consistent with age is said to be moderately retarded, and the code should be 61.<\/p>\n\n<p>A person who, despite good physical condition, is incapable of doing normal daily self-care activities consistent with age is said to be severely mentally retarded. For this condition enter 62.<\/p>\n\n<p>If a person suffers from a combination of any of the listed disabilities, enter the applicable codes, e.g. if there is a defect of hearing in two ears and a defect of speech enter 2231. After you have recorded the disability code(s) for a particular person, fill the remaining boxes with dashes.<\/p>\n\n<p>The relevant portion of the sample questionnaire on page 15 is shown below.<\/p>\n\n<p>[Diagram on page 43 omitted]<\/p>\n\n<p>Thembe is blind in one eye, so she is assigned serial number 07 (since that was her serial number in Pan A), and the disability code is 13.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"Tihis variable indicates whether the person has a disability with his or her arms.","var_catgry":[{"value":"0","labl":"None","is_missing":null,"stats":[]},{"value":"1","labl":"Inability to use one arm","is_missing":null,"stats":[]},{"value":"2","labl":"Inability to use two arms","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Disability Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_IDSMENTAL","name":"BW1991A_IDSMENTAL","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"177","loc_end_pos":"177","loc_width":"1","loc_rec_seg_no":null,"labl":"Mental disability","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section C<\/span>\n<br \/><span class=\"em\">[Disability]<\/span><\/p>\n\n<p>3. Does any person(s) listed in from section A-question 2, or section B-question 3 suffer from any of the following disabilities?<\/p>\n<div class=\"i1\">[] 11 Defect of seeing in 1 eye <br \/>[] 12 Defect of seeing in 2 eyes <br \/>[] 13 Blindness in 1 eye <br \/>[] 14 Blindness in 2 eyes <br \/>[] 21 Defect of hearing in 1 ear <br \/>[] 22 Defect of hearing in 2 ears <br \/>[] 23 Deafness in 1 ear<br \/>[] 24 Deafness in 2 ears<br \/>[] 31 Defect of speech<br \/>[] 32 Inability to speak<br \/>[] 41 Inability to use 1 leg <br \/>[] 42 Inability to use 2 legs <br \/>[] 51 Inability to use 1 arm <br \/>[] 52 Inability to use 2 arms <br \/>[] 61 Moderate retardation <br \/>[] 62 Severe retardation<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns C1\/C2\/C3: Disability <\/span><div class=\"i1\">11 Defect of seeing in 1 eye<br \/>12 Defect of seeing in 2 eyes<br \/>13 Blindness in 1 eye<br \/>14 Blindness in 2 eyes<br \/>21 Defect of hearing in 1 ear<br \/>22 Defect of hearing in 2 ears<br \/>23 Deafness in 1 ear<br \/>24 Deafness in 2 ears<br \/>31 Defect of speech<br \/>32 Inability to speak<br \/>41 Inability to use 1 leg<br \/>42 Inability to use 2 legs<br \/>51 Inability to use 1 arm<br \/>52 Inability to use 2 arms<br \/>61 Moderate Retardation<br \/>62 Severe Retardation<\/div><p>You should read out the list of disabilities to the respondent as a reminder to him or her of the types of disabilities to which we are referring. Be very tactful in asking these questions so as not to cause offence or embarrassment.<\/p>\n\n<p>If anyone does have a disability, enter the person's first name in column C1, then enter in column C2 the same serial number that you assigned to this person in column A2 or B2. A person from Part A will have a serial number 01, 02 or 03, etc., whilst a person from Part B will have a serial number 91, 92 or 93, etc.<\/p>\n\n<p>A disabled person has incapacities as a result of physical or mental deficiencies such as bodily abnormalities, defects and impairments. Impairments are defects of structure or functions of the body which give rise to personal inabilities to perform necessary activities. The defects and impairments might occur from birth, or may be brought about by disease, injury or just old age.<\/p>\n\n<p>Defect of Seeing: A person wearing glasses will not usually be defined as having a defect of seeing. Only if, when wearing glasses, the person cannot count the fingers of a hand from a distance of 3 metres will you record him\/her as having a seeing defect. If the defect is in one eye, code 11, and, if the defect is in both eyes, code 12. If there is complete blindness in one eye enter 13; if there is blindness in both eyes enter 14.<\/p>\n\n<p>Defect of Hearing: If a person cannot hear a whisper at a distance of 2 metres, that person is said to have a defect of hearing. If the defect is in one ear enter code 21, if both ears are affected, enter code 22. If there is complete deafness in one ear enter 23; if the deafness is in both ears enter 24.<\/p>\n\n<p>Defect of Speech: A person who makes unintelligible speech, stammers or speaks with an abnormal voice is said to have a defect of speech. If this defect applies, enter code 31.<\/p>\n\n<p>Inability to Speak: For a person who cannot speak at all (i.e. is completely dumb or mute), enter 32.<\/p>\n\n<p>Inability to Use One or Both Legs: For a person who has one leg lame or a leg or foot missing enter 41; if both legs are lame or both feet\/legs are missing, enter 42.<\/p>\n\n<p><span class=\"pg\">[p.43]<\/span><\/p>\n\n<p>Inability to Use One or Both Arms: For a person who has one arm lame or a hand or arm missing enter 51; if both arms are lame or both hands\/arms are missing, code 52.<\/p>\n\n<p>Mental Retardation: A person who is capable of taking care of himself\/herself but who cannot adjust to a situation needing ordinary skills consistent with age is said to be moderately retarded, and the code should be 61.<\/p>\n\n<p>A person who, despite good physical condition, is incapable of doing normal daily self-care activities consistent with age is said to be severely mentally retarded. For this condition enter 62.<\/p>\n\n<p>If a person suffers from a combination of any of the listed disabilities, enter the applicable codes, e.g. if there is a defect of hearing in two ears and a defect of speech enter 2231. After you have recorded the disability code(s) for a particular person, fill the remaining boxes with dashes.<\/p>\n\n<p>The relevant portion of the sample questionnaire on page 15 is shown below.<\/p>\n\n<p>[Diagram on page 43 omitted]<\/p>\n\n<p>Thembe is blind in one eye, so she is assigned serial number 07 (since that was her serial number in Pan A), and the disability code is 13.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the person has a mental disability.","var_catgry":[{"value":"0","labl":"None","is_missing":null,"stats":[]},{"value":"1","labl":"Moderate to severe retardation","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Disability Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_CITIZENCO","name":"BW1991A_CITIZENCO","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"178","loc_end_pos":"178","loc_width":"1","loc_rec_seg_no":null,"labl":"Continent of citizenship","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>6. Citizenship<\/p>\n<div class=\"i1\">What is the country of [the respondent's] citizenship?<br \/><br \/>[] 01 Botswana <br \/>[] 02 Angola <br \/>[] 03 Lesotho <br \/>[] 04 Malawi <br \/>[] 05 Mozambique <br \/>[] 06 Namibia <br \/>[] 07 South Africa <br \/>[] 08 Swaziland <br \/>[] 09 Zambia <br \/>[] 10 Zimbabwe <br \/>[] Other -- see list<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A6: Citizenship<\/span><\/p>\n\n<p>What is the country of [the respondent]'s citizenship?<\/p>\n\n<p>For Botswana citizens, enter 01 in the shaded area under column A6. For citizens of other countries, write the name of the country in the unshaded area and the code for that country in the shaded area beneath. The codes for most southern African countries are shown on the questionnaire. If a person is a citizen of a country not listed, look up the code in the Village\/Country List.<\/p>\n\n<p><span class=\"pg\">[p.22]<\/span><\/p>\n\n<p>In the sample questionnaire in paragraph 103, all the persons listed are citizens of Botswana (code 01), except for Thembe, who is a citizen of South Africa. \"RSA\" is written in the unshaded area under column A6, in line 6, whilst the code for South Africa, 07, is written in the shaded area.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's continent of citizenship.","var_catgry":[{"value":"1","labl":"African","is_missing":null,"stats":[]},{"value":"2","labl":"Europe","is_missing":null,"stats":[]},{"value":"3","labl":"Asia","is_missing":null,"stats":[]},{"value":"4","labl":"Americas and Oceania","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_SCHOOL","name":"BW1991A_SCHOOL","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"179","loc_end_pos":"179","loc_width":"1","loc_rec_seg_no":null,"labl":"School attendance","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons 5 years and over)<\/span><\/p>\n\n<p>9. Has [the respondent] ever attended school?<\/p>\n<div class=\"i1\">[] 1 Never attended (Go to Q. 11)<br \/>[] 2 Still at school (Go to Q. 10)<br \/>[] 3 Left school (Go to Q. 10)<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column 9: School Attendance<\/span><\/p>\n\n<p>Has [the respondent] ever attended school?<\/p>\n\n<p>This question refers to formal schooling only. Pre-schooling and non-formal education are not covered by this question, and the only form of tertiary education covered is university attendance.<\/p>\n\n<p>If a person has never attended school, enter 1 in A9 and a dash in A10, and go to A11.<\/p>\n\n<p>If a person is still attending school, enter 2 in A9 and go to A10.<\/p>\n\n<p>If a person has attended school but has since left school, enter 3 in A9 and go to A10.<\/p>\n\n<p>If it is not known whether or not someone ever attended school, enter 9 in A9 and a dash in A10, and go to A11.<\/p>\n\n<p>In the sample questionnaire on page 24, James attended school but he left school a long time ago. He is coded 3 in column A9. Anne never attended school, so she is coded 1. Mimi is not yet 5 years old, so this question does not apply to her. Enter a dash in the shaded area for her. Anthony and Molelo are still in school, so they are coded 2. David and 1hembe have both left school, so they are coded 3.","var_universe":"Botswana 1991: Persons age 5+ [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the person attended school.","var_catgry":[{"value":"1","labl":"Never attended","is_missing":null,"stats":[]},{"value":"2","labl":"Still at school","is_missing":null,"stats":[]},{"value":"3","labl":"Left school","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_EDATTAIN","name":"BW1991A_EDATTAIN","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"180","loc_end_pos":"181","loc_width":"2","loc_rec_seg_no":null,"labl":"Years completed at school","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons 5 years and over)<\/span><\/p>\n\n<p>10. What is the highest grade that [the respondent] passed\/completed?<\/p>\n<div class=\"i1\">Primary<\/div><div class=\"i2\">[] 10<br \/>[] 11<br \/>[] 12<br \/>[] 13<br \/>[] 14<br \/>[] 15<br \/>[] 16<br \/>[] 17<\/div><div class=\"i1\">Secondary<\/div><div class=\"i2\">[] 21<br \/>[] 22<br \/>[] 23<br \/>[] 24<br \/>[] 25<br \/>[] 26<\/div><div class=\"i1\">Tertiary<\/div><div class=\"i2\">[] 31<br \/>[] 32<br \/>[] 33<br \/>[] 34<br \/>[] 35<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A10: Highest Grade Passed\/Completed<\/span>\n<br \/> \n<br \/>What is the highest grade that [the respondent] passed\/completed?<\/p>\n\n<p>Enter the highest school grade the person has passed (if this grade ends in an exam) or has completed (if the grade doesn't end in an exam).<\/p>\n<div class=\"i1\">If Standard 1, enter 11<br \/>If Standard 2, enter 12<br \/>If Standard 3, enter 13<br \/>If Standard 4, enter 14<br \/>If Standard S, enter 15<br \/>If Standard 6, enter 16<br \/>If Standard 7, enter 17<\/div><p>For Sub A or Sub B enter 11. If the person, at the time of enumeration, is in Standard 1, enter 10.<\/p>\n\n<p>If the person has attended or is attending secondary school, enter the highest form passed as follows:\n<br \/><span class=\"pg\">[p.25]<\/span><div class=\"i1\">If Form 1, enter 21<br \/>If Form 2, enter 22<br \/>If Form 3, enter 23<br \/>If Form 4, enter 24<br \/>If Form 5, enter 25<br \/>If Form 6, enter 26<\/div><p>If the person is currently in Form 1, enter 17. Someone who completed Form 3 but failed the exam will be coded 22. Someone who completed Form 2 (which doesn't end with an exam) v\\'ill also be coded 22 - even if they never went on to Form 3. Someone who completed JC under the old educational system will be coded 23, while someone who completed JC under the new system will be coded 22.<\/p>\n\n<p>If the person has attended or is attending University, enter the number of completed years the person has spent attending University as follows:<\/p>\n<div class=\"i1\">If 1 year, enter 31<br \/>If 2 years, enter 32<br \/>If 3 years, enter 33<br \/>If 4 years, enter 34<br \/>If 5 years and over, enter 35<\/div><p>For a person still doing preliminary courses, e.g. the Pre-Entry Science Course (PESC), enter 25 or 26 as may be appropriate.<\/p>\n\n<p>In the sample questionnaire on page 24, James completed Standard 3, so he is coded 13. Since Anne never attended school, a dash is entered in column A10 for her. Mimi is not yet 5 years old, so the question does not apply to her - a dash appears in column A10. Anthony is currently in Standard 7; since the highest standard which he has completed is Standard 6, 16 is entered for him. Molelo is currently in Standard 5 (code 14), and David completed Standard 7 (code 17). Thembe dropped out of Standard 5, so she completed Standard 4 and is coded 14.","var_universe":"Botswana 1991: Persons age 5+ who attended school [discrepancies: none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's highest grade completed at school.","var_catgry":[{"value":"10","labl":"Primary, less than one year","is_missing":null,"stats":[]},{"value":"11","labl":"Primary, one year","is_missing":null,"stats":[]},{"value":"12","labl":"Primary, two years","is_missing":null,"stats":[]},{"value":"13","labl":"Primary, three years","is_missing":null,"stats":[]},{"value":"14","labl":"Primary, four years","is_missing":null,"stats":[]},{"value":"15","labl":"Primary, five years","is_missing":null,"stats":[]},{"value":"16","labl":"Primary, six years","is_missing":null,"stats":[]},{"value":"17","labl":"Primary, seven years","is_missing":null,"stats":[]},{"value":"21","labl":"Secondary, one year","is_missing":null,"stats":[]},{"value":"22","labl":"Secondary, two years","is_missing":null,"stats":[]},{"value":"23","labl":"Secondary, three years","is_missing":null,"stats":[]},{"value":"24","labl":"Secondary, four years","is_missing":null,"stats":[]},{"value":"25","labl":"Secondary, five years","is_missing":null,"stats":[]},{"value":"26","labl":"Secondary, six years","is_missing":null,"stats":[]},{"value":"31","labl":"Tertiary, one year","is_missing":null,"stats":[]},{"value":"32","labl":"Tertiary, two years","is_missing":null,"stats":[]},{"value":"33","labl":"Tertiary, three years","is_missing":null,"stats":[]},{"value":"34","labl":"Tertiary, four years","is_missing":null,"stats":[]},{"value":"35","labl":"Tertiary, five years","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_MARST","name":"BW1991A_MARST","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"182","loc_end_pos":"182","loc_width":"1","loc_rec_seg_no":null,"labl":"Marital status","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(12 years and over)<\/span><\/p>\n\n<p>11. Marital status<\/p>\n<div class=\"i1\">Is [the respondent] currently married?<br \/><br \/>[] 1 Married <br \/>[] 2 Living together <br \/>[] 3 Never married <br \/>[] 4 Separated <br \/>[] 5 Divorced <br \/>[] 6 Widowed<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A11: Marital Status<\/span><\/p>\n\n<p>Is [the respondent] currently married?<\/p>\n\n<p>Enter the appropriate one-digit code in the shaded area:<\/p>\n<div class=\"i1\">1 Married: A person should be regarded as married if he\/she has been through any form of marriage ceremony, whether tribal, civil, religious or other, and is still married. <br \/><br \/>2 Living Together: A man and a woman may \"live together\" like husband and wife (even if they do not stay together in the same locality) without having gone through any form of marriage ceremony.<br \/><span class=\"pg\">[p.26]<\/span><br \/>3 Never Married: A person who has never gone through any type of formal or informal marriage (tribal, civil, religious or other) and does not consider that he\/she is presently \"living together\" with anyone is to be coded as never married.<br \/><br \/>4 Separated: A person who has been formally married should be regarded as separated if he\/she is living apart from his\/her spouse by Court order, or by mutual or unilateral decision.<br \/><br \/>5 Divorced: A person should be regarded as divorced if his\/her marriage has ended. If the person has remarried then he\/she is to be coded 1, as married.<br \/><br \/>6 Widowed: This means that either the husband or the wife has died and the surviving partner has not remarried. If the surviving partner has remarried he\/she is coded 1, as married.<\/div><p>[Diagram on page 26 omitted]<\/p>\n\n<p><span class=\"pg\">[p.27]<\/span><\/p>\n\n<p>In the sample questionnaire on page 26, James and Anne are coded as living together (code 2) in column A11. Mimi and Molelo are under 12 years old, so the question does not apply to them and dashes are entered. Anthony and David have never been married, so they are coded 3, while Thembe was widowed a few years ago and is coded 6.<\/p>\n\n<p>Note that James had indicated to the enumerator that Anne was his spouse, yet, in response to the question on marital status, he said that they were living together, not married, since they had never formally married. You should accept what people tell you concerning their marital status and simply record their response; do not change the relationship code in A2. If the respondent tells you that the head and his\/her \"spouse\" are \"living together\".","var_universe":"Botswana 1991: Persons age 12+ [discrepancies: type I 0.3%; type II trace]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's marital status.","var_catgry":[{"value":"1","labl":"Married","is_missing":null,"stats":[]},{"value":"2","labl":"Living together","is_missing":null,"stats":[]},{"value":"3","labl":"Never married","is_missing":null,"stats":[]},{"value":"4","labl":"Separated","is_missing":null,"stats":[]},{"value":"5","labl":"Divorced","is_missing":null,"stats":[]},{"value":"6","labl":"Widowed","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_CASHACT","name":"BW1991A_CASHACT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"183","loc_end_pos":"183","loc_width":"1","loc_rec_seg_no":null,"labl":"Work for cash during the last 30 days","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(12 years and over)<\/span><\/p>\n\n<p>12. During the past 30 days did [the respondent] work for cash?<\/p>\n<div class=\"i1\">[] 1 Yes for someone else (Go to Q. 14) <br \/>[] 2 Yes, for self (Go to Q. 14) <br \/>[] 3 No (Go to Q. 13)<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A12: Work done for cash during the past 30 days<\/span><\/p>\n\n<p>During the past 30 days did [the respondent] work for cash?<\/p>\n\n<p>Enter the appropriate one-digit code in the shaded area:<\/p>\n<div class=\"i1\">1 Yes, for someone else: This code applies if a person has worked for someone else for cash payment during the 30 days before the census, no matter how short the period. If a person was on paid leave - annual, sick or maternity - 1 is still the appropriate code. If you enter 1 in column A12, you should put a dash in column A13 and go to column A14.<br \/><br \/>2 Yes, for self: This code applies if a person was self-employed during the 30 days before the census. Remember that those who work for cash reward include those who work for wages, salaries, fees, commissions and the like, while the self-employed include those who are in business for themselves, such as farmers (who farm with the specific intention of selling their products), shop owners, hawkers, those who repair shoes or cut hair under a tree, or those who weave baskets or sell oranges for their living. If you enter 2 in column A12, you should put a dash in column A13 and go to column A14.<br \/><br \/>3 No: This code applies if the person did not work at all for cash payment during the last 30 days. Included in this group are farmers who grow mainly for household consumption; individuals who worked at farms, lands or cattleposts without receiving cash payment; and those who worked in a family business without receiving cash payment. If any of these individuals received any cash payment for their work, however small, they should be coded 1 or 2, as appropriate.<\/div><p>If you enter 3 in column A12, you should go to A13 to find out what the person was doing during the past 30 days (since he\/she was not working for cash).<\/p>\n\n<p>In the sample questionnaire on page 26, James worked for someone else during the past 30 days and received cash, so he is coded 1 in column A12. Anne did not work for cash (although she did some farming on the lands), so she is coded 3. Since Mimi and Molelo are under 12 years old, the question does not apply to them, and dashes are entered in column A12 for them. Anthony did not work for cash (since he is a student), so he is coded 3. David was self-employed and is coded 2. Thembe did not work for cash either and is coded 3.","var_universe":"Botswana 1991: Persons age 12+ [discrepancies: type I 0.3%; type II trace]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates whether the person worked for cash during the last 30 days.","var_catgry":[{"value":"1","labl":"Yes, for someone else","is_missing":null,"stats":[]},{"value":"2","labl":"Yes, for self","is_missing":null,"stats":[]},{"value":"3","labl":"No cash activity","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_ECONACT","name":"BW1991A_ECONACT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"184","loc_end_pos":"184","loc_width":"1","loc_rec_seg_no":null,"labl":"Work status during the last 30 days","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(12 years and over)<\/span><\/p>\n\n<p>12. During the past 30 days did [the respondent] work for cash?<\/p>\n<div class=\"i1\">[] 1 Yes for someone else (Go to Q. 14) <br \/>[] 2 Yes, for self (Go to Q. 14) <br \/>[] 3 No (Go to Q. 13)<\/div><p>13. Then what did [the person] do during the last 30 days?<\/p>\n<div class=\"i1\">[] 1 Family business<br \/>[] 2 Work at lands\/farms\/cattle post<\/div><div class=\"i2\">[For responses 1 or 2,] go to Q.14<\/div><div class=\"i1\">[] 3 Actively seeking work<br \/>[] 4 Housework<br \/>[] 5 Student<br \/>[] 6 Retired<br \/>[] 7 Other (specify)<\/div><div class=\"i2\">[For responses 3 to 6,] go to Q.16 if female, else go to next person<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A13: Type of Activity<\/span><\/p>\n\n<p>Then what did [the respondent] do during the past 30 days?<\/p>\n\n<p>This column relates to persons who were neither self-employed nor working for other persons for cash payment during the 30 days before the census. Find out what they were doing instead during most of the reference period and probe if necessary.<\/p>\n\n<p>Enter the appropriate one-digit code in the shaded area:<\/p>\n<div class=\"i1\">1 Family Business: A person may be working in a family business without receiving any cash payment for his\/her labour. For example, a woman runs a small kiosk from which she sells snacks to office workers. Her younger brother helps her there, but instead of paying him a wage she gives him a bag of mealie meal and some other food each month. The woman would be classified as self-employed (code 2 in column A12) since she was working for profit, but her brother would be coded 3 in column A12 and 1 in column A13, since he did not receive any cash payment. If you enter code 1 in column A13, you must then go to columns A14 and A15 to ask what the person's occupation and industry were.<br \/><br \/>2 Work at Lands\/Farms\/Cattlepost: This category includes farmers who grow mainly for household consumption (rather than to sell their products), and those individuals who worked at farms, lands or cattleposts but who did not receive any cash payment. If you enter code 2 in column A13, you must then go to columns A14 and A15 to find out what the person's occupation and industry were.<br \/><br \/>3 Actively Seeking Work: A person who has applied for any job during the past 30 days should be considered to be actively seeking work (although categories 1, 2 and 5 take priority). If you enter code 3 in column A13, put dashes in columns A14 and A15. If the person is female, go to column A16. If the person is male, put dashes in columns A16 - A21 and continue on to the next person listed in column A1.<br \/><br \/>4 Housework: Remember that either a woman or a man could be responsible for daily housework, i.e. cleaning of the house and premises, preparing food or generally caring for the other members of the household. If you enter code 3 in column A13, put dashes in columns A14 and A15. If the person is female, go to column A16. If the person is male, put dashes in columns A16 - A21 and continue on to the next person listed in column A1.<br \/><br \/>5 Student: A student is a person, at least 12 years of age, who, as a result of attending school for most of the day, does not work. If you enter code 3 in column A13, put dashes in columns A14 and A15. If the person is female, go to column A16. If the person is male, put dashes in columns A16 - A21 and continue on to the next person listed in column A1.<br \/><br \/>6 Retired: A retired person is a woman or a man who, as a result of old age or disability, cannot do any type of work. If you enter code 3 in column A13, put dashes in columns A14 and A15. If the person is female, go to column A16. If the person is male, put dashes in columns A16 - A21 and continue on to the next person listed in column A1.<br \/><br \/><span class=\"pg\">[p.29]<\/span><br \/><br \/>Other (specify): If the person was doing something other than the possibilities listed above, then write in what the person was doing in the space just below the words \"Other (specify)\" in column A13. If you need more space, use the comments box.<\/div><p>If a person says he\/she was doing \"nothing\" during the past 30 days, probe to find out what the person was really doing. It is very unlikely that the person was literally doing nothing.<\/p>\n\n<p>If a person says he\/she does housework, or that he\/she is a student\/retired\/other, probe to find out whether he\/she did any work for cash during the past 30 days, no matter how little the cash or how short the period. If yes, go back to A12 and correct the code to 1 or 2 as appropriate, enter a dash in column A13, and continue to column A14.<\/p>\n\n<p>Generally speaking, if a person has had more than one activity during the past 30 days, it is the foremost of these that must be taken (i.e. that which took up most time and\/or which was most rewarding). There is, however, an exception to this:<\/p>\n\n<p>Everything takes precedence over \"housework\". For example, if a person spent all his\/her time doing housework - except for half a day when he\/she went looking for work - he\/she must be coded 3 as \"actively seeking work\" and not 4 as doing \"housework\".<\/p>\n\n<p>In the sample questionnaire on page 26, a dash appears in column A13 for the head of household because he was working for someone else for cash during the past 30 days. Anne was working at the lands during the last 30 days (although not for cash payment), so she is coded 2. The question does not apply to Mimi or Molelo since they are under 12 years old, so dashes are entered for them. Anthony is a student, so he is coded 5. Since David is self-employed, the question does not apply to him, and a dash is entered. Thembe did not work because she has retired so code 6 is entered.","var_universe":"Botswana 1991: Persons age 12+ who did not work for cash during last 30 days [discrepancies: type I 0.2%; type II none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's working status during the last 30 days.","var_catgry":[{"value":"1","labl":"Family business","is_missing":null,"stats":[]},{"value":"2","labl":"Work at lands, farms or cattlepost","is_missing":null,"stats":[]},{"value":"3","labl":"Actively seeking work","is_missing":null,"stats":[]},{"value":"4","labl":"Housework","is_missing":null,"stats":[]},{"value":"5","labl":"Student","is_missing":null,"stats":[]},{"value":"6","labl":"Retired","is_missing":null,"stats":[]},{"value":"7","labl":"Other","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_OCC","name":"BW1991A_OCC","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"185","loc_end_pos":"186","loc_width":"2","loc_rec_seg_no":null,"labl":"Occupation (last 30 days)","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(12 years and over)<\/span><\/p>\n\n<p>12. During the past 30 days did [the respondent] work for cash?<\/p>\n<div class=\"i1\">[] 1 Yes for someone else (Go to Q. 14) <br \/>[] 2 Yes, for self (Go to Q. 14) <br \/>[] 3 No (Go to Q. 13)<\/div><p>13. Then what did [the person] do during the last 30 days?<\/p>\n<div class=\"i1\">[] 1 Family business<br \/>[] 2 Work at lands\/farms\/cattle post<\/div><div class=\"i2\">[For responses 1 or 2,] go to Q.14<\/div><div class=\"i1\">[] 3 Actively seeking work<br \/>[] 4 Housework<br \/>[] 5 Student<br \/>[] 6 Retired<br \/>[] 7 Other (specify)<\/div><div class=\"i2\">[For responses 3 to 6,] go to Q.16 if female, else go to next person<\/div><p>14. Occupation<\/p>\n<div class=\"i1\">What type of work did [the person] do? (Probe as necessary) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A14: Occupation<\/span><\/p>\n\n<p>What type of work did [the respondent] do?<\/p>\n\n<p>A person's occupation depends on the tasks and duties which the person performs. Remember that if a person worked at all during the past 30 days, whether for cash or not, and for however short a period, then you should try to find out what kind of work the person did. You should try to get the respondent to give both a job title and a two- or three-word description of the tasks performed. For example, if a person states that he is a mechanic, ask him what he repairs. You might record his response (in the unshaded area of column A14) as follows: \"mechanic, fixes cars 11 or \"mechanic, fixes radios\". If you need more space use the block which says \"Probe as necessary\" at the top of column A14. You may also use the comments block.<\/p>\n\n<p>If a person moved from job to job you should enter the most recent occupation even if it only lasted for a day or two. This may happen with people who are casual labourers.<\/p>\n\n<p>If a person has more than one occupation, record the one on which he\/she spends the most time. However, if someone has a temporary job during the school holidays - but has a permanent job during term time, it is their permanent occupation that should be described. A census enumerator or supervisor who is a school teacher during term time must therefore be described as \"Primary School Teacher\" or \"Secondary School Teacher\".<\/p>\n\n<p>Probing for Better Occupational Information: You will usually have to probe the respondent to get good information about a person's occupation. For example, people who make things (bread, clothing, pottery, wood objects, tools, beer, food products, furniture, bricks, etc.) should be asked how they make them. It is important to find out whether they mostly use their hands or hand-held \n<br \/><span class=\"pg\">[p.30]<\/span>\n<br \/>tools, or whether they mostly produce these goods by operating machinery. A person who brews beer at home using traditional techniques belongs to a different occupational category than a person who operates a machine which ferments the grains used in making beer.<\/p>\n\n<p>You should also probe when the information provided by the respondent does not seem reasonable. For example, if a person has only completed Form 4, it seems unlikely that he or she could be an auditor or an engineer. If you probe, you may discover that the person is actually an accounting clerk or an engineering assistant. Specific examples of how to probe for better occupational information are given on page 31. <\/p>\n\n<p>In the sample questionnaire on page 26, the head of household works as a labourer in a mine, so \"mine labourer\" is written in the unshaded area under column A14. Anne, although she did not work for cash payment, did work in the lands as a farmer. The enumerator probed and found out that she was growing melons for family consumption. The response is recorded as \"farmer\" in the unshaded area under column A14, and the information obtained by further probing is recorded in the large block above as \"grew melons for family consumption\". The question does not apply to Mimi or to Molelo because they are under 12 years old, and it does not apply to Anthony because he is a student. Dashes are entered for them. David, who is self-employed, is a taxi driver, and that information is recorded in the unshaded area of column A14. Thembe has retired, so the question does not apply to her (a dash is entered).<\/p>\n\n<p><span class=\"pg\">[p.31]<\/span><\/p>\n\n<p>Specific examples of how to probe for better occupational information:<\/p>\n\n<p>[Column headings:]\n<br \/>(A) Response\n<br \/>(B) Suggested probing questions<\/p>\n\n<p>(A) Builder\n<br \/>(B) Does [the respondent] build using mostly traditional materials and techniques?<\/p>\n\n<p>(A) Brewer\n<br \/>(B) Where and how does [the respondent] make the beer? (at home or elsewhere using traditional techniques, in a commercial brewery using machines)\n<br \/> \n<br \/>(A) Carpenter\n<br \/>(B) What kinds of things does [the respondent] make or build? (furniture, door and window frames, wood frames for houses, etc.)<\/p>\n\n<p>(A) Cleaner\n<br \/>(B) What does [the respondent] clean? (streets, houses, offices, shoes, clothes)\n<br \/> \n<br \/>(A) Clerk\n<br \/>(B) Does [the respondent] work in an office mostly or does [the respondent] mostly deal with customers? What kind of clerk is [the respondent]? (stock, production, accounting, bookkeeping, statistical, finance, transport, library, filing, mail sorting, coding)\n<br \/> \n<br \/>(A) Driver\n<br \/>(B) What does [the respondent] drive? (car, taxi, bus, van, combi, lorry, truck, tractor, bulldozer, excavator, grader, scraper, compactor)\n<br \/> \n<br \/>(A) Electrician\n<br \/>(B) What kinds of things does [the respondent] repair? (cars, electrical wires in buildings, electrical power lines, electrical equipment or appliances, electrical machinery)\n<br \/> \n<br \/>(A) Engineer\n<br \/>(B) Does [the respondent] have a college degree in engineering? What kind of engineer is [the respondent]? (chemical, civil, construction, electrical, electronic, telecommunications, mechanical, mining)<\/p>\n\n<p>(A) Farmer\n<br \/>(B) Does [the respondent] produce mostly animals or crops? What kind of animals does [the respondent] raise? (livestock, poultry, other) Does [the respondent] raise the animals (or grow the crops) mostly to sell them or for family consumption?\n<br \/> \n<br \/>(A) Foreman supervisor\n<br \/>(B) What kinds of workers does [the respondent] supervise? Does [the respondent] help those he or she supervises to do the work? If so, what kind of work is it?<\/p>\n\n<p>(A) Gardener\n<br \/>(B) In what kind of garden does [the respondent] work? (private home, commercial farm, commercial nursery) Are the things grown in the garden mostly consumed by the household or sold?<\/p>\n\n<p>(A) Labourer\n<br \/>(B) Where does [the respondent] work as a labourer? (construction site, mine, factory, shop, shipping company, railroad, airport, farm, forest)\n<br \/> \n<br \/>(A) Machine operator\n<br \/>(B) What kind of machine does [the respondent] operate?<\/p>\n\n<p>(A) Manager\n<br \/>(B) In what kind of organisation is [the respondent] a manager? (government, humanitarian organisation, hospital, retail shop, compru1y, factory, bank, etc.) Does [the respondent] manage a whole company or a department in the company? What department does [the respondent] manage? (production, operations, other)\n<br \/> \n<br \/>(A) Mechanic\n<br \/>(B) What does [the respondent] fix? (cars, refrigerators, air conditioners, other machines or equipment)\n<br \/> \n<br \/>(A) Painter\n<br \/>(B) What does [the respondent] paint? (buildings, ceramics, artistic pah1tings, wood, cars, metal, interior walls)\n<br \/> \n<br \/>(A) Salesperson\n<br \/>(B) What does [the respondent] sell? Where does [the respondent] sell? (shop, kiosk, market, street, from home)<\/p>\n\n<p>(A) Scientist\n<br \/>(B) What kind of scientist is [the respondent]? (chemist, biologist, geologist, meteorologist, pharmacologist, botanist, zoologist, pathologist, agronomist)<\/p>\n\n<p>(A) Security guard\n<br \/>(B) By whom is [the respondent] employed? (security firm, company, government, office, private individual, shop)\n<br \/> \n<br \/>(A) Seller\n<br \/>(B) What does [the respondent] sell? Where does [the respondent] sell? (shop, kiosk, market stall, street, from home)\n<br \/> \n<br \/>(A) Teacher\n<br \/>(B) At what level does [the respondent] teach? (pre-primary, primary, secondary, college, university, brigades, trade school, commercial school, computer academy)\n<br \/> \n<br \/>(A) Technician\n<br \/>(B) What kind of technician is [the respondent]? (health, engineering, physical science, life science, computer, agronomy, forestry, veterinary)","var_universe":"Botswana 1991: Persons age 12+ who worked for cash, for family business or in agriculture in the last 30 days [discrepancies: type I 0.1%; type II trace]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's occupation during the last 30 days.","var_catgry":[{"value":"00","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"11","labl":"Legislators and senior government officials","is_missing":null,"stats":[]},{"value":"12","labl":"Company directors and corporate managers","is_missing":null,"stats":[]},{"value":"13","labl":"Small business managers and managing supervisors","is_missing":null,"stats":[]},{"value":"21","labl":"Physical or life scientist","is_missing":null,"stats":[]},{"value":"23","labl":"Heatlh diagnosis and treatment professionals","is_missing":null,"stats":[]},{"value":"24","labl":"Architects, engineers and related professionals","is_missing":null,"stats":[]},{"value":"25","labl":"Teaching professionals","is_missing":null,"stats":[]},{"value":"27","labl":"Business professionals","is_missing":null,"stats":[]},{"value":"29","labl":"Miscellaneous professionals","is_missing":null,"stats":[]},{"value":"31","labl":"Physical and engineering science technicians","is_missing":null,"stats":[]},{"value":"32","labl":"Computer associate professionals","is_missing":null,"stats":[]},{"value":"33","labl":"Optical and electronic equipment operators and controllers","is_missing":null,"stats":[]},{"value":"34","labl":"Life science and health associate professionals","is_missing":null,"stats":[]},{"value":"35","labl":"Primary and pre primary education teachers","is_missing":null,"stats":[]},{"value":"36","labl":"Finance and sale associate professionals","is_missing":null,"stats":[]},{"value":"37","labl":"Administrative associate professionals","is_missing":null,"stats":[]},{"value":"38","labl":"Creative and performing artists and sportspersons","is_missing":null,"stats":[]},{"value":"39","labl":"Miscellaneous technicians and associate professionals","is_missing":null,"stats":[]},{"value":"41","labl":"Office clerks","is_missing":null,"stats":[]},{"value":"42","labl":"Custome services clerks","is_missing":null,"stats":[]},{"value":"51","labl":"Personal services workers","is_missing":null,"stats":[]},{"value":"52","labl":"Protective services workers","is_missing":null,"stats":[]},{"value":"53","labl":"Salespersons, demonstrators and models","is_missing":null,"stats":[]},{"value":"61","labl":"Market oriented skilled agricultural and related workers","is_missing":null,"stats":[]},{"value":"62","labl":"Skilled agricultural workers, not specified","is_missing":null,"stats":[]},{"value":"71","labl":"Extraction trades workers","is_missing":null,"stats":[]},{"value":"72","labl":"Building and construction trades workers","is_missing":null,"stats":[]},{"value":"73","labl":"Machinery mechanics and fitters","is_missing":null,"stats":[]},{"value":"74","labl":"Metal moulders, welders, sheet metal workers, structural metal preparers, blacksmiths, tool makers and related workers","is_missing":null,"stats":[]},{"value":"75","labl":"Electrical and electronic equipment mechanics and fitters","is_missing":null,"stats":[]},{"value":"76","labl":"Handicraft and related trades workers","is_missing":null,"stats":[]},{"value":"77","labl":"Food processing and related trades workers","is_missing":null,"stats":[]},{"value":"78","labl":"Wood treaters, wood furniture markers and related trades workers","is_missing":null,"stats":[]},{"value":"79","labl":"Miscellaneous craft and related trades workers","is_missing":null,"stats":[]},{"value":"81","labl":"Industrial plant operators","is_missing":null,"stats":[]},{"value":"82","labl":"Stationary machine operators and assemblers","is_missing":null,"stats":[]},{"value":"83","labl":"Drivers and mobile machinery operators","is_missing":null,"stats":[]},{"value":"91","labl":"Labourers in mining, construction, manufacturing and transport","is_missing":null,"stats":[]},{"value":"92","labl":"Agricultural and related labourers","is_missing":null,"stats":[]},{"value":"93","labl":"Sales and services elementary occupations","is_missing":null,"stats":[]},{"value":"99","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work: Occupation Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_OCCGROUP","name":"BW1991A_OCCGROUP","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"187","loc_end_pos":"188","loc_width":"2","loc_rec_seg_no":null,"labl":"Occupation group (last 30 days)","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(12 years and over)<\/span><\/p>\n\n<p>12. During the past 30 days did [the respondent] work for cash?<\/p>\n<div class=\"i1\">[] 1 Yes for someone else (Go to Q. 14) <br \/>[] 2 Yes, for self (Go to Q. 14) <br \/>[] 3 No (Go to Q. 13)<\/div><p>13. Then what did [the person] do during the last 30 days?<\/p>\n<div class=\"i1\">[] 1 Family business<br \/>[] 2 Work at lands\/farms\/cattle post<\/div><div class=\"i2\">[For responses 1 or 2,] go to Q.14<\/div><div class=\"i1\">[] 3 Actively seeking work<br \/>[] 4 Housework<br \/>[] 5 Student<br \/>[] 6 Retired<br \/>[] 7 Other (specify)<\/div><div class=\"i2\">[For responses 3 to 6,] go to Q.16 if female, else go to next person<\/div><p>14. Occupation<\/p>\n<div class=\"i1\">What type of work did [the person] do? (Probe as necessary) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A14: Occupation<\/span><\/p>\n\n<p>What type of work did [the respondent] do?<\/p>\n\n<p>A person's occupation depends on the tasks and duties which the person performs. Remember that if a person worked at all during the past 30 days, whether for cash or not, and for however short a period, then you should try to find out what kind of work the person did. You should try to get the respondent to give both a job title and a two- or three-word description of the tasks performed. For example, if a person states that he is a mechanic, ask him what he repairs. You might record his response (in the unshaded area of column A14) as follows: \"mechanic, fixes cars 11 or \"mechanic, fixes radios\". If you need more space use the block which says \"Probe as necessary\" at the top of column A14. You may also use the comments block.<\/p>\n\n<p>If a person moved from job to job you should enter the most recent occupation even if it only lasted for a day or two. This may happen with people who are casual labourers.<\/p>\n\n<p>If a person has more than one occupation, record the one on which he\/she spends the most time. However, if someone has a temporary job during the school holidays - but has a permanent job during term time, it is their permanent occupation that should be described. A census enumerator or supervisor who is a school teacher during term time must therefore be described as \"Primary School Teacher\" or \"Secondary School Teacher\".<\/p>\n\n<p>Probing for Better Occupational Information: You will usually have to probe the respondent to get good information about a person's occupation. For example, people who make things (bread, clothing, pottery, wood objects, tools, beer, food products, furniture, bricks, etc.) should be asked how they make them. It is important to find out whether they mostly use their hands or hand-held \n<br \/><span class=\"pg\">[p.30]<\/span>\n<br \/>tools, or whether they mostly produce these goods by operating machinery. A person who brews beer at home using traditional techniques belongs to a different occupational category than a person who operates a machine which ferments the grains used in making beer.<\/p>\n\n<p>You should also probe when the information provided by the respondent does not seem reasonable. For example, if a person has only completed Form 4, it seems unlikely that he or she could be an auditor or an engineer. If you probe, you may discover that the person is actually an accounting clerk or an engineering assistant. Specific examples of how to probe for better occupational information are given on page 31. <\/p>\n\n<p>In the sample questionnaire on page 26, the head of household works as a labourer in a mine, so \"mine labourer\" is written in the unshaded area under column A14. Anne, although she did not work for cash payment, did work in the lands as a farmer. The enumerator probed and found out that she was growing melons for family consumption. The response is recorded as \"farmer\" in the unshaded area under column A14, and the information obtained by further probing is recorded in the large block above as \"grew melons for family consumption\". The question does not apply to Mimi or to Molelo because they are under 12 years old, and it does not apply to Anthony because he is a student. Dashes are entered for them. David, who is self-employed, is a taxi driver, and that information is recorded in the unshaded area of column A14. Thembe has retired, so the question does not apply to her (a dash is entered).<\/p>\n\n<p><span class=\"pg\">[p.31]<\/span><\/p>\n\n<p>Specific examples of how to probe for better occupational information:<\/p>\n\n<p>[Column headings:]\n<br \/>(A) Response\n<br \/>(B) Suggested probing questions<\/p>\n\n<p>(A) Builder\n<br \/>(B) Does [the respondent] build using mostly traditional materials and techniques?<\/p>\n\n<p>(A) Brewer\n<br \/>(B) Where and how does [the respondent] make the beer? (at home or elsewhere using traditional techniques, in a commercial brewery using machines)\n<br \/> \n<br \/>(A) Carpenter\n<br \/>(B) What kinds of things does [the respondent] make or build? (furniture, door and window frames, wood frames for houses, etc.)<\/p>\n\n<p>(A) Cleaner\n<br \/>(B) What does [the respondent] clean? (streets, houses, offices, shoes, clothes)\n<br \/> \n<br \/>(A) Clerk\n<br \/>(B) Does [the respondent] work in an office mostly or does [the respondent] mostly deal with customers? What kind of clerk is [the respondent]? (stock, production, accounting, bookkeeping, statistical, finance, transport, library, filing, mail sorting, coding)\n<br \/> \n<br \/>(A) Driver\n<br \/>(B) What does [the respondent] drive? (car, taxi, bus, van, combi, lorry, truck, tractor, bulldozer, excavator, grader, scraper, compactor)\n<br \/> \n<br \/>(A) Electrician\n<br \/>(B) What kinds of things does [the respondent] repair? (cars, electrical wires in buildings, electrical power lines, electrical equipment or appliances, electrical machinery)\n<br \/> \n<br \/>(A) Engineer\n<br \/>(B) Does [the respondent] have a college degree in engineering? What kind of engineer is [the respondent]? (chemical, civil, construction, electrical, electronic, telecommunications, mechanical, mining)<\/p>\n\n<p>(A) Farmer\n<br \/>(B) Does [the respondent] produce mostly animals or crops? What kind of animals does [the respondent] raise? (livestock, poultry, other) Does [the respondent] raise the animals (or grow the crops) mostly to sell them or for family consumption?\n<br \/> \n<br \/>(A) Foreman supervisor\n<br \/>(B) What kinds of workers does [the respondent] supervise? Does [the respondent] help those he or she supervises to do the work? If so, what kind of work is it?<\/p>\n\n<p>(A) Gardener\n<br \/>(B) In what kind of garden does [the respondent] work? (private home, commercial farm, commercial nursery) Are the things grown in the garden mostly consumed by the household or sold?<\/p>\n\n<p>(A) Labourer\n<br \/>(B) Where does [the respondent] work as a labourer? (construction site, mine, factory, shop, shipping company, railroad, airport, farm, forest)\n<br \/> \n<br \/>(A) Machine operator\n<br \/>(B) What kind of machine does [the respondent] operate?<\/p>\n\n<p>(A) Manager\n<br \/>(B) In what kind of organisation is [the respondent] a manager? (government, humanitarian organisation, hospital, retail shop, compru1y, factory, bank, etc.) Does [the respondent] manage a whole company or a department in the company? What department does [the respondent] manage? (production, operations, other)\n<br \/> \n<br \/>(A) Mechanic\n<br \/>(B) What does [the respondent] fix? (cars, refrigerators, air conditioners, other machines or equipment)\n<br \/> \n<br \/>(A) Painter\n<br \/>(B) What does [the respondent] paint? (buildings, ceramics, artistic pah1tings, wood, cars, metal, interior walls)\n<br \/> \n<br \/>(A) Salesperson\n<br \/>(B) What does [the respondent] sell? Where does [the respondent] sell? (shop, kiosk, market, street, from home)<\/p>\n\n<p>(A) Scientist\n<br \/>(B) What kind of scientist is [the respondent]? (chemist, biologist, geologist, meteorologist, pharmacologist, botanist, zoologist, pathologist, agronomist)<\/p>\n\n<p>(A) Security guard\n<br \/>(B) By whom is [the respondent] employed? (security firm, company, government, office, private individual, shop)\n<br \/> \n<br \/>(A) Seller\n<br \/>(B) What does [the respondent] sell? Where does [the respondent] sell? (shop, kiosk, market stall, street, from home)\n<br \/> \n<br \/>(A) Teacher\n<br \/>(B) At what level does [the respondent] teach? (pre-primary, primary, secondary, college, university, brigades, trade school, commercial school, computer academy)\n<br \/> \n<br \/>(A) Technician\n<br \/>(B) What kind of technician is [the respondent]? (health, engineering, physical science, life science, computer, agronomy, forestry, veterinary)","var_universe":"Botswana 1991: Persons age 12 + who worked for cash, for family business, or in agriculture in the last 30 days [discrepancies: type I 0.1%, type II trace]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's occupation group (1 digit) in the last 30 days.","var_catgry":[{"value":"00","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"01","labl":"Legislators, administrators and managers","is_missing":null,"stats":[]},{"value":"02","labl":"Professionals","is_missing":null,"stats":[]},{"value":"03","labl":"Technicians and para professionals","is_missing":null,"stats":[]},{"value":"04","labl":"Clerks","is_missing":null,"stats":[]},{"value":"05","labl":"Service workers ans shops and market sales worker","is_missing":null,"stats":[]},{"value":"06","labl":"Skilled agricultural workers","is_missing":null,"stats":[]},{"value":"07","labl":"Craft and trades workers","is_missing":null,"stats":[]},{"value":"08","labl":"Plant and machine operators and assemblers","is_missing":null,"stats":[]},{"value":"09","labl":"Elementary occupations","is_missing":null,"stats":[]},{"value":"99","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work: Occupation Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_IND","name":"BW1991A_IND","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"189","loc_end_pos":"191","loc_width":"3","loc_rec_seg_no":null,"labl":"Industry","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(12 years and over)<\/span><\/p>\n\n<p>12. During the past 30 days did [the respondent] work for cash?<\/p>\n<div class=\"i1\">[] 1 Yes for someone else (Go to Q. 14) <br \/>[] 2 Yes, for self (Go to Q. 14) <br \/>[] 3 No (Go to Q. 13)<\/div><p>13. Then what did [the person] do during the last 30 days?<\/p>\n<div class=\"i1\">[] 1 Family business<br \/>[] 2 Work at lands\/farms\/cattle post<\/div><div class=\"i2\">[For responses 1 or 2,] go to Q.14<\/div><div class=\"i1\">[] 3 Actively seeking work<br \/>[] 4 Housework<br \/>[] 5 Student<br \/>[] 6 Retired<br \/>[] 7 Other (specify)<\/div><div class=\"i2\">[For responses 3 to 6,] go to Q.16 if female, else go to next person<\/div><p>15. Industry<\/p>\n<div class=\"i1\">What was the main product, service or activity of [the person's] place of work? (Probe as necessary) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A15: Industry<\/span><\/p>\n\n<p>What was the main product, service or activity of [the respondent]'s place of work?<\/p>\n\n<p>The industry identifies the main kind of product produced or the main service provided by the establishment or the work unit in which the individual works. It is important to understand the difference between industry and occupation. An occupation summarizes the tasks performed by an individual who is working. The industry has to do with the products or services, or main functions or activities, of the workplace. For example, a woman may be an Accounts Clerk who is employed by a Dairy Farmer. Her occupation is \"Accounts Clerk\" and the industry in which she works is \"Farming\". If the same person were employed by a mine, the occupation would still be \"Accounts Clerk\" but the industry would be \"Mining\". A man working in the same mine might be a Mine Sampler - his occupation would be \"Mine Sampler\" or \"Miner\", but he also belongs to the Mining industry. Clearly, an industry may include a number of different occupations, and the same occupation may be found in many different industries.<\/p>\n\n<p>Probing for better industry information: You will usually have to probe the respondent to get good information about the industry in which a person works. Some general tips for probing are given below, and specific examples of how to probe are given on page 34.<\/p>\n\n<p>General Tips:<\/p>\n<div class=\"i1\">first ask the respondent the name of the business or establishment - if you abbreviate, write out the name in full in the comments box<br \/><br \/>if the name of the business is not known, or if the individual is self-employed, working on a farm, lands or cattlepost, or working for another individual\/household rather than for a company or business, ask the respondent what kinds of goods are produced at the place where the person works - if you need more space, use the block at the top of column A15; see section I below for some examples of goods produced<br \/><br \/>if the business or workplace does not produce goods, ask what kinds of services are provided; see section 2 below for some examples of services provided<br \/><br \/>in recording the response, be sure to indicate whether the business is making or selling goods (if relevant); e.g. write \"makes beer\" or \"sells beer\", not just \"beer\"<br \/><br \/>if the above approaches do not work, ask the respondent what type of business the person works in and, if necessary, list some examples from section 3 below; a complete list of industry groups is given on page 35<br \/><br \/>1 Examples of Goods Produced: bread, traditional beer, biltong, textiles, tinned meat, glass, bricks, tiles, metal tools, shoes, leather bags, rope, books, baskets, clothing, fat cakes, brooms, newspapers, plastic pipes, kgotla chairs, boilers, mats, pots, wooden spoons, plastic pipes, vaccines, maize flour, milk, soap<br \/><br \/>2. Examples of Services Provided: repairing cars, repairing shoes, repairing watches, cleaning houses, guarding houses, taking care of children, typing, hawking goods, driving a taxi, cutting and styling hair, treating illnesses, teaching, selling property, selling airline tickets, renting videos, dry-cleaning clothes, selling beer, running a restaurant, running a shop<br \/><br \/>3. Examples of Types of Businesses or Economic Activities: building houses, building roads, wholesale trade, general retailer, hotel, restaurant, butchery, petrol station, airline, railway, selling cars, transporting goods, bank, insurance, real estate, prospecting, <br \/><span class=\"pg\">[p.33]<\/span><br \/>architectural services, church, school, hospital, clinic, local government, brigades, traditional farming, fishing, hunting, blacksmith, traditional healing, performing at nightclubs, travel agency, employers' organisation, labour union, co-operative, electrical construction, law firm, accounting firm, market stall, dairy fanning, commercial farming.<\/div><p>In the sample questionnaire on page 26, James works for DeBeers. Since the name of the business is known, it is written in the unshaded area of column A15. Anne works on the lands since she is engaged in the economic activity of fanning on the lands (as opposed to making baskets, for example), this information is included in the unshaded area. The question does not apply to Mimi or Molelo because they under 12 years old, nor to Anthony, because he is a student. Dashes are entered for these three. David drives his own taxi, so his industry can be recorded as \"taxi driving\". Thembe is retired, so a dash is entered in column A15 for her.<\/p>\n\n<p>If the person is female, go to column A16 after completing column A15. If the person is male, put dashes m columns A16 - A21 and continue on to the next person listed in column A1.<\/p>\n\n<p><span class=\"pg\">[p.34]<\/span><\/p>\n\n<p>Specific examples of how to probe for better industry information:<\/p>\n\n<p>[Column headings:]\n<br \/>(A) Response\n<br \/>(B) Suggested probing questions<\/p>\n\n<p>(A) Factory\n<br \/>(B) What is the name of the factory? What kinds of goods does the factory make?<\/p>\n\n<p>(A) Manufacturing\n<br \/>(B) What is the name of the company? What kinds of goods does the company manufacture?<\/p>\n\n<p>(A) Construction\n<br \/>(B) What is the name of the company? What does the company build? (houses, roads, buildings, electrical plant, dams, etc.)<\/p>\n\n<p>(A) Government\n<br \/>(B) Does [the respondent] work for Central Government or Local Government? In which department or ministry?<\/p>\n\n<p>(A) Transport\n<br \/>(B) Does [the respondent] work for a transport company? If so, what is the name of the company? What kind of transport does the company provide? (rail, air, truck, combi, taxi) If [the respondent] does not work for a company, what kind of transport does [the respondent] provide? (driving a taxi, truck, tractor, etc.)<\/p>\n\n<p>(A) Education\n<br \/>(B) Is [the respondent] a teacher? If so, at what level does [the respondent] teach? If not, what does [the respondent] do in the school?<\/p>\n\n<p>(A) Business\n<br \/>(B) What is the name of the business? What kinds of goods does the business provide? What kinds of services does the business provide? (see page 32 for examples)<\/p>\n\n<p>(A) Mining\n<br \/>(B) In which mine does [the respondent] work? What kind of mine is it? (diamonds, copper\/nickel, coal, soda ash\/salt)<\/p>\n\n<p>(A) Farming\n<br \/>(B) What is produced on the farm? Are the crops or livestock sold for profit or used mostly for consumption by the family?<\/p>\n\n<p>(A) Domestic, private Mrs. or Mr. family\n<br \/>(B) What is [the respondent] doing for the private household or individual? (gardening, minding children, cleaning house, cooking, working as a night watchman) If none of the above, what is the main activity of the household or individual for which [the respondent] works? (building a house, making baskets, brewing beer, selling beer, collecting wood, cutting poles, sewing, driving a taxi, threshing, stamping mealie, etc.) What is [the respondent] doing to help the household or individual in this activity?<\/p>\n\n<p>(A) Cattle post, lands, farm\n<br \/>(B) What is [the respondent] doing at the cattle\/post\/lands\/farm? Do not assume that the activity is farming - if the person is making baskets, for example, the economic activity may be \"making baskets\".<\/p>\n\n<p>(A) Self\n<br \/>(B) Does [the respondent] have a company or shop? What is the name of the company or shop? What kind of shop? What kinds of goods does [the respondent] make\/sell? What services does [the respondent] provide? (see page 32)<\/p>\n\n<p>(A) Bread, fat cakes, beer, clothes\n<br \/>(B) Did [the respondent] make or sell this product? If [the respondent] sold the product, was it sold in a shop? If not, where did [the respondent] sell the product? If [the respondent] made the product, did [the respondent] also sell it? Whenever the respondent mentions a finished product such as food, clothing or manufactured goods as the industry, ask similar questions.<\/p>\n\n<p>(A) Poles, wood, thatch, water, maize\n<br \/>(B) Did [the respondent] sell this item? Did [the respondent] gather\/cut\/collect\/stamp this item? For whom did [the respondent] work? What was the item used for, and by whom was the item used? Did [the respondent] grow the item? Whenever the respondent mentions an agricultural product or other raw material (wood, thatch, water, etc.), find out whether the person was growing, gathering, cutting, or otherwise processing the item.","var_universe":"Botswana 1991: Persons age 12 + who worked for cash, for family business, or in agriculture in the last 30 days [discrepancies: type I 0.1%, type II trace]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the industry (2 digits) in which the person works.","var_catgry":[{"value":"001","labl":"Central government","is_missing":null,"stats":[]},{"value":"002","labl":"Local government","is_missing":null,"stats":[]},{"value":"003","labl":"Other government and foreign missions","is_missing":null,"stats":[]},{"value":"011","labl":"Traditional farming","is_missing":null,"stats":[]},{"value":"012","labl":"Other farming","is_missing":null,"stats":[]},{"value":"013","labl":"Forestry","is_missing":null,"stats":[]},{"value":"014","labl":"Fishing or hunting","is_missing":null,"stats":[]},{"value":"021","labl":"Diamonds","is_missing":null,"stats":[]},{"value":"022","labl":"Copper or nickel","is_missing":null,"stats":[]},{"value":"023","labl":"Coal","is_missing":null,"stats":[]},{"value":"024","labl":"Soda ash and salt","is_missing":null,"stats":[]},{"value":"025","labl":"Quarrying and other mining","is_missing":null,"stats":[]},{"value":"030","labl":"Meat and meat products","is_missing":null,"stats":[]},{"value":"031","labl":"Dairy and other agro based products","is_missing":null,"stats":[]},{"value":"032","labl":"Beverages","is_missing":null,"stats":[]},{"value":"033","labl":"Bakery products","is_missing":null,"stats":[]},{"value":"034","labl":"Textiles","is_missing":null,"stats":[]},{"value":"035","labl":"Tanning and leather products","is_missing":null,"stats":[]},{"value":"036","labl":"Chemicals and rubber products","is_missing":null,"stats":[]},{"value":"037","labl":"Wood and wooden products","is_missing":null,"stats":[]},{"value":"038","labl":"Paper and paper products","is_missing":null,"stats":[]},{"value":"039","labl":"Metal products","is_missing":null,"stats":[]},{"value":"040","labl":"Other manufactured products","is_missing":null,"stats":[]},{"value":"041","labl":"Water supply","is_missing":null,"stats":[]},{"value":"042","labl":"Electricity generation and supply","is_missing":null,"stats":[]},{"value":"051","labl":"Construction of houses and buildings","is_missing":null,"stats":[]},{"value":"052","labl":"Construction of roads","is_missing":null,"stats":[]},{"value":"053","labl":"Electrical construction","is_missing":null,"stats":[]},{"value":"054","labl":"Construction of dams and building of pipelines","is_missing":null,"stats":[]},{"value":"055","labl":"Other construction and building work","is_missing":null,"stats":[]},{"value":"061","labl":"Wholesale trade","is_missing":null,"stats":[]},{"value":"062","labl":"Retail trade","is_missing":null,"stats":[]},{"value":"063","labl":"Hotels","is_missing":null,"stats":[]},{"value":"064","labl":"Restaurants, cafes and butcheries","is_missing":null,"stats":[]},{"value":"065","labl":"Petrol stations","is_missing":null,"stats":[]},{"value":"066","labl":"Motor vehicle dealers","is_missing":null,"stats":[]},{"value":"067","labl":"Hawkers","is_missing":null,"stats":[]},{"value":"069","labl":"Other wholesale and retail trade, hotels and restaurants","is_missing":null,"stats":[]},{"value":"071","labl":"Road Transport","is_missing":null,"stats":[]},{"value":"072","labl":"Railway Transport","is_missing":null,"stats":[]},{"value":"073","labl":"Air Transport","is_missing":null,"stats":[]},{"value":"074","labl":"Communication","is_missing":null,"stats":[]},{"value":"075","labl":"Services allied to transport","is_missing":null,"stats":[]},{"value":"081","labl":"Finance","is_missing":null,"stats":[]},{"value":"082","labl":"Insurance","is_missing":null,"stats":[]},{"value":"083","labl":"Real Estate","is_missing":null,"stats":[]},{"value":"084","labl":"Business services","is_missing":null,"stats":[]},{"value":"085","labl":"Technical services","is_missing":null,"stats":[]},{"value":"091","labl":"Recreation services","is_missing":null,"stats":[]},{"value":"092","labl":"Repair services","is_missing":null,"stats":[]},{"value":"093","labl":"Business, professional and labour organizations","is_missing":null,"stats":[]},{"value":"094","labl":"Laundry, dry cleaning, hair dressing services, etc.","is_missing":null,"stats":[]},{"value":"095","labl":"Medical services and hospitals","is_missing":null,"stats":[]},{"value":"096","labl":"Education services","is_missing":null,"stats":[]},{"value":"097","labl":"Religious organizations","is_missing":null,"stats":[]},{"value":"098","labl":"Domestic services","is_missing":null,"stats":[]},{"value":"099","labl":"Other community, social, household, and personal services","is_missing":null,"stats":[]},{"value":"998","labl":"Unknown","is_missing":null,"stats":[]},{"value":"999","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work: Industry Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_INDGROUP","name":"BW1991A_INDGROUP","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"192","loc_end_pos":"193","loc_width":"2","loc_rec_seg_no":null,"labl":"Industry group","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(12 years and over)<\/span><\/p>\n\n<p>12. During the past 30 days did [the respondent] work for cash?<\/p>\n<div class=\"i1\">[] 1 Yes for someone else (Go to Q. 14) <br \/>[] 2 Yes, for self (Go to Q. 14) <br \/>[] 3 No (Go to Q. 13)<\/div><p>13. Then what did [the person] do during the last 30 days?<\/p>\n<div class=\"i1\">[] 1 Family business<br \/>[] 2 Work at lands\/farms\/cattle post<\/div><div class=\"i2\">[For responses 1 or 2,] go to Q.14<\/div><div class=\"i1\">[] 3 Actively seeking work<br \/>[] 4 Housework<br \/>[] 5 Student<br \/>[] 6 Retired<br \/>[] 7 Other (specify)<\/div><div class=\"i2\">[For responses 3 to 6,] go to Q.16 if female, else go to next person<\/div><p>15. Industry<\/p>\n<div class=\"i1\">What was the main product, service or activity of [the person's] place of work? (Probe as necessary) ____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A15: Industry<\/span><\/p>\n\n<p>What was the main product, service or activity of [the respondent]'s place of work?<\/p>\n\n<p>The industry identifies the main kind of product produced or the main service provided by the establishment or the work unit in which the individual works. It is important to understand the difference between industry and occupation. An occupation summarizes the tasks performed by an individual who is working. The industry has to do with the products or services, or main functions or activities, of the workplace. For example, a woman may be an Accounts Clerk who is employed by a Dairy Farmer. Her occupation is \"Accounts Clerk\" and the industry in which she works is \"Farming\". If the same person were employed by a mine, the occupation would still be \"Accounts Clerk\" but the industry would be \"Mining\". A man working in the same mine might be a Mine Sampler - his occupation would be \"Mine Sampler\" or \"Miner\", but he also belongs to the Mining industry. Clearly, an industry may include a number of different occupations, and the same occupation may be found in many different industries.<\/p>\n\n<p>Probing for better industry information: You will usually have to probe the respondent to get good information about the industry in which a person works. Some general tips for probing are given below, and specific examples of how to probe are given on page 34.<\/p>\n\n<p>General Tips:<\/p>\n<div class=\"i1\">first ask the respondent the name of the business or establishment - if you abbreviate, write out the name in full in the comments box<br \/><br \/>if the name of the business is not known, or if the individual is self-employed, working on a farm, lands or cattlepost, or working for another individual\/household rather than for a company or business, ask the respondent what kinds of goods are produced at the place where the person works - if you need more space, use the block at the top of column A15; see section I below for some examples of goods produced<br \/><br \/>if the business or workplace does not produce goods, ask what kinds of services are provided; see section 2 below for some examples of services provided<br \/><br \/>in recording the response, be sure to indicate whether the business is making or selling goods (if relevant); e.g. write \"makes beer\" or \"sells beer\", not just \"beer\"<br \/><br \/>if the above approaches do not work, ask the respondent what type of business the person works in and, if necessary, list some examples from section 3 below; a complete list of industry groups is given on page 35<br \/><br \/>1 Examples of Goods Produced: bread, traditional beer, biltong, textiles, tinned meat, glass, bricks, tiles, metal tools, shoes, leather bags, rope, books, baskets, clothing, fat cakes, brooms, newspapers, plastic pipes, kgotla chairs, boilers, mats, pots, wooden spoons, plastic pipes, vaccines, maize flour, milk, soap<br \/><br \/>2. Examples of Services Provided: repairing cars, repairing shoes, repairing watches, cleaning houses, guarding houses, taking care of children, typing, hawking goods, driving a taxi, cutting and styling hair, treating illnesses, teaching, selling property, selling airline tickets, renting videos, dry-cleaning clothes, selling beer, running a restaurant, running a shop<br \/><br \/>3. Examples of Types of Businesses or Economic Activities: building houses, building roads, wholesale trade, general retailer, hotel, restaurant, butchery, petrol station, airline, railway, selling cars, transporting goods, bank, insurance, real estate, prospecting, <br \/><span class=\"pg\">[p.33]<\/span><br \/>architectural services, church, school, hospital, clinic, local government, brigades, traditional farming, fishing, hunting, blacksmith, traditional healing, performing at nightclubs, travel agency, employers' organisation, labour union, co-operative, electrical construction, law firm, accounting firm, market stall, dairy fanning, commercial farming.<\/div><p>In the sample questionnaire on page 26, James works for DeBeers. Since the name of the business is known, it is written in the unshaded area of column A15. Anne works on the lands since she is engaged in the economic activity of fanning on the lands (as opposed to making baskets, for example), this information is included in the unshaded area. The question does not apply to Mimi or Molelo because they under 12 years old, nor to Anthony, because he is a student. Dashes are entered for these three. David drives his own taxi, so his industry can be recorded as \"taxi driving\". Thembe is retired, so a dash is entered in column A15 for her.<\/p>\n\n<p>If the person is female, go to column A16 after completing column A15. If the person is male, put dashes m columns A16 - A21 and continue on to the next person listed in column A1.<\/p>\n\n<p><span class=\"pg\">[p.34]<\/span><\/p>\n\n<p>Specific examples of how to probe for better industry information:<\/p>\n\n<p>[Column headings:]\n<br \/>(A) Response\n<br \/>(B) Suggested probing questions<\/p>\n\n<p>(A) Factory\n<br \/>(B) What is the name of the factory? What kinds of goods does the factory make?<\/p>\n\n<p>(A) Manufacturing\n<br \/>(B) What is the name of the company? What kinds of goods does the company manufacture?<\/p>\n\n<p>(A) Construction\n<br \/>(B) What is the name of the company? What does the company build? (houses, roads, buildings, electrical plant, dams, etc.)<\/p>\n\n<p>(A) Government\n<br \/>(B) Does [the respondent] work for Central Government or Local Government? In which department or ministry?<\/p>\n\n<p>(A) Transport\n<br \/>(B) Does [the respondent] work for a transport company? If so, what is the name of the company? What kind of transport does the company provide? (rail, air, truck, combi, taxi) If [the respondent] does not work for a company, what kind of transport does [the respondent] provide? (driving a taxi, truck, tractor, etc.)<\/p>\n\n<p>(A) Education\n<br \/>(B) Is [the respondent] a teacher? If so, at what level does [the respondent] teach? If not, what does [the respondent] do in the school?<\/p>\n\n<p>(A) Business\n<br \/>(B) What is the name of the business? What kinds of goods does the business provide? What kinds of services does the business provide? (see page 32 for examples)<\/p>\n\n<p>(A) Mining\n<br \/>(B) In which mine does [the respondent] work? What kind of mine is it? (diamonds, copper\/nickel, coal, soda ash\/salt)<\/p>\n\n<p>(A) Farming\n<br \/>(B) What is produced on the farm? Are the crops or livestock sold for profit or used mostly for consumption by the family?<\/p>\n\n<p>(A) Domestic, private Mrs. or Mr. family\n<br \/>(B) What is [the respondent] doing for the private household or individual? (gardening, minding children, cleaning house, cooking, working as a night watchman) If none of the above, what is the main activity of the household or individual for which [the respondent] works? (building a house, making baskets, brewing beer, selling beer, collecting wood, cutting poles, sewing, driving a taxi, threshing, stamping mealie, etc.) What is [the respondent] doing to help the household or individual in this activity?<\/p>\n\n<p>(A) Cattle post, lands, farm\n<br \/>(B) What is [the respondent] doing at the cattle\/post\/lands\/farm? Do not assume that the activity is farming - if the person is making baskets, for example, the economic activity may be \"making baskets\".<\/p>\n\n<p>(A) Self\n<br \/>(B) Does [the respondent] have a company or shop? What is the name of the company or shop? What kind of shop? What kinds of goods does [the respondent] make\/sell? What services does [the respondent] provide? (see page 32)<\/p>\n\n<p>(A) Bread, fat cakes, beer, clothes\n<br \/>(B) Did [the respondent] make or sell this product? If [the respondent] sold the product, was it sold in a shop? If not, where did [the respondent] sell the product? If [the respondent] made the product, did [the respondent] also sell it? Whenever the respondent mentions a finished product such as food, clothing or manufactured goods as the industry, ask similar questions.<\/p>\n\n<p>(A) Poles, wood, thatch, water, maize\n<br \/>(B) Did [the respondent] sell this item? Did [the respondent] gather\/cut\/collect\/stamp this item? For whom did [the respondent] work? What was the item used for, and by whom was the item used? Did [the respondent] grow the item? Whenever the respondent mentions an agricultural product or other raw material (wood, thatch, water, etc.), find out whether the person was growing, gathering, cutting, or otherwise processing the item.","var_universe":"Botswana 1991: Persons age 12 + who worked for cash, for family business, or in agriculture in the last 30 days [discrepancies: type I 0.1%, type II none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the industry group (1 digit) in which the person works.","var_catgry":[{"value":"01","labl":"Agriculture","is_missing":null,"stats":[]},{"value":"02","labl":"Mining and quarrying","is_missing":null,"stats":[]},{"value":"03","labl":"Manufacturing","is_missing":null,"stats":[]},{"value":"04","labl":"Water and electricity","is_missing":null,"stats":[]},{"value":"05","labl":"Construction","is_missing":null,"stats":[]},{"value":"06","labl":"Wholesale and retail trade","is_missing":null,"stats":[]},{"value":"07","labl":"Transport and communication","is_missing":null,"stats":[]},{"value":"08","labl":"Business services","is_missing":null,"stats":[]},{"value":"09","labl":"Health services","is_missing":null,"stats":[]},{"value":"10","labl":"Education","is_missing":null,"stats":[]},{"value":"11","labl":"Domestic services","is_missing":null,"stats":[]},{"value":"12","labl":"Other community services","is_missing":null,"stats":[]},{"value":"13","labl":"Central government","is_missing":null,"stats":[]},{"value":"14","labl":"Local government","is_missing":null,"stats":[]},{"value":"15","labl":"Government and foreign missions, other industries","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work: Industry Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_ECONSTA","name":"BW1991A_ECONSTA","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"194","loc_end_pos":"194","loc_width":"1","loc_rec_seg_no":null,"labl":"Economic status","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(12 years and over)<\/span><\/p>\n\n<p>12. During the past 30 days did [the respondent] work for cash?<\/p>\n<div class=\"i1\">[] 1 Yes for someone else (Go to Q. 14) <br \/>[] 2 Yes, for self (Go to Q. 14) <br \/>[] 3 No (Go to Q. 13)<\/div><p>13. Then what did [the person] do during the last 30 days?<\/p>\n<div class=\"i1\">[] 1 Family business<br \/>[] 2 Work at lands\/farms\/cattle post<\/div><div class=\"i2\">[For responses 1 or 2,] go to Q.14<\/div><div class=\"i1\">[] 3 Actively seeking work<br \/>[] 4 Housework<br \/>[] 5 Student<br \/>[] 6 Retired<br \/>[] 7 Other (specify)<\/div><div class=\"i2\">[For responses 3 to 6,] go to Q.16 if female, else go to next person<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A12: Work done for cash during the past 30 days<\/span><\/p>\n\n<p>During the past 30 days did [the respondent] work for cash?<\/p>\n\n<p>Enter the appropriate one-digit code in the shaded area:<\/p>\n<div class=\"i1\">1 Yes, for someone else: This code applies if a person has worked for someone else for cash payment during the 30 days before the census, no matter how short the period. If a person was on paid leave - annual, sick or maternity - 1 is still the appropriate code. If you enter 1 in column A12, you should put a dash in column A13 and go to column A14.<br \/><br \/>2 Yes, for self: This code applies if a person was self-employed during the 30 days before the census. Remember that those who work for cash reward include those who work for wages, salaries, fees, commissions and the like, while the self-employed include those who are in business for themselves, such as farmers (who farm with the specific intention of selling their products), shop owners, hawkers, those who repair shoes or cut hair under a tree, or those who weave baskets or sell oranges for their living. If you enter 2 in column A12, you should put a dash in column A13 and go to column A14.<br \/><br \/>3 No: This code applies if the person did not work at all for cash payment during the last 30 days. Included in this group are farmers who grow mainly for household consumption; individuals who worked at farms, lands or cattleposts without receiving cash payment; and those who worked in a family business without receiving cash payment. If any of these individuals received any cash payment for their work, however small, they should be coded 1 or 2, as appropriate.<\/div><p>If you enter 3 in column A12, you should go to A13 to find out what the person was doing during the past 30 days (since he\/she was not working for cash).<\/p>\n\n<p>In the sample questionnaire on page 26, James worked for someone else during the past 30 days and received cash, so he is coded 1 in column A12. Anne did not work for cash (although she did some farming on the lands), so she is coded 3. Since Mimi and Molelo are under 12 years old, the question does not apply to them, and dashes are entered in column A12 for them. Anthony did not work for cash (since he is a student), so he is coded 3. David was self-employed and is coded 2. Thembe did not work for cash either and is coded 3.","var_universe":"Botswana 1991: Persons age 12+ in private households [discrepancies: type I 0.3%; type II trace]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's economic status.","var_catgry":[{"value":"1","labl":"Economically active","is_missing":null,"stats":[]},{"value":"2","labl":"Economically inactive","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_EMPSTAT","name":"BW1991A_EMPSTAT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"195","loc_end_pos":"196","loc_width":"2","loc_rec_seg_no":null,"labl":"Working status","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(12 years and over)<\/span><\/p>\n\n<p>12. During the past 30 days did [the respondent] work for cash?<\/p>\n<div class=\"i1\">[] 1 Yes for someone else (Go to Q. 14) <br \/>[] 2 Yes, for self (Go to Q. 14) <br \/>[] 3 No (Go to Q. 13)<\/div><p>13. Then what did [the person] do during the last 30 days?<\/p>\n<div class=\"i1\">[] 1 Family business<br \/>[] 2 Work at lands\/farms\/cattle post<\/div><div class=\"i2\">[For responses 1 or 2,] go to Q.14<\/div><div class=\"i1\">[] 3 Actively seeking work<br \/>[] 4 Housework<br \/>[] 5 Student<br \/>[] 6 Retired<br \/>[] 7 Other (specify)<\/div><div class=\"i2\">[For responses 3 to 6,] go to Q.16 if female, else go to next person<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A12: Work done for cash during the past 30 days<\/span><\/p>\n\n<p>During the past 30 days did [the respondent] work for cash?<\/p>\n\n<p>Enter the appropriate one-digit code in the shaded area:<\/p>\n<div class=\"i1\">1 Yes, for someone else: This code applies if a person has worked for someone else for cash payment during the 30 days before the census, no matter how short the period. If a person was on paid leave - annual, sick or maternity - 1 is still the appropriate code. If you enter 1 in column A12, you should put a dash in column A13 and go to column A14.<br \/><br \/>2 Yes, for self: This code applies if a person was self-employed during the 30 days before the census. Remember that those who work for cash reward include those who work for wages, salaries, fees, commissions and the like, while the self-employed include those who are in business for themselves, such as farmers (who farm with the specific intention of selling their products), shop owners, hawkers, those who repair shoes or cut hair under a tree, or those who weave baskets or sell oranges for their living. If you enter 2 in column A12, you should put a dash in column A13 and go to column A14.<br \/><br \/>3 No: This code applies if the person did not work at all for cash payment during the last 30 days. Included in this group are farmers who grow mainly for household consumption; individuals who worked at farms, lands or cattleposts without receiving cash payment; and those who worked in a family business without receiving cash payment. If any of these individuals received any cash payment for their work, however small, they should be coded 1 or 2, as appropriate.<\/div><p>If you enter 3 in column A12, you should go to A13 to find out what the person was doing during the past 30 days (since he\/she was not working for cash).<\/p>\n\n<p>In the sample questionnaire on page 26, James worked for someone else during the past 30 days and received cash, so he is coded 1 in column A12. Anne did not work for cash (although she did some farming on the lands), so she is coded 3. Since Mimi and Molelo are under 12 years old, the question does not apply to them, and dashes are entered in column A12 for them. Anthony did not work for cash (since he is a student), so he is coded 3. David was self-employed and is coded 2. Thembe did not work for cash either and is coded 3.","var_universe":"Botswana 1991: Persons age 12+ [discrepancies: type I 0.3%; type II 0.2%]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's working status during the last 30 days.","var_catgry":[{"value":"01","labl":"Working for cash, employee","is_missing":null,"stats":[]},{"value":"02","labl":"Working for cash, self employee","is_missing":null,"stats":[]},{"value":"03","labl":"Working for non cash, family business","is_missing":null,"stats":[]},{"value":"04","labl":"Working for non cash, farmer","is_missing":null,"stats":[]},{"value":"05","labl":"Not working, seeking work","is_missing":null,"stats":[]},{"value":"06","labl":"Not working, housework","is_missing":null,"stats":[]},{"value":"07","labl":"Not working, student","is_missing":null,"stats":[]},{"value":"08","labl":"Not working, retired","is_missing":null,"stats":[]},{"value":"09","labl":"Not working, other","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_CHBORN","name":"BW1991A_CHBORN","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"197","loc_end_pos":"198","loc_width":"2","loc_rec_seg_no":null,"labl":"Number of children ever born alive","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(Fertility--females, 12 years and over)<\/span><\/p>\n\n<p>16. How many children have been born alive by [the respondent]?<\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A16: Children Born Alive<\/span><\/p>\n\n<p>How many children have been borne alive by [the respondent]?<\/p>\n\n<p>In column A16 you must record (as a two-digit code) the total number of children ever born alive to the woman\/girl. Children born alive are those children who cried at least once after birth. All other births are still-births. Remember to include all children who have died, but do not include still-births.<\/p>\n\n<p>In the sample questionnaire in paragraph 116, this question only applies to Anne and to Thembe, since they are the only females who' are over 12 years old. Anne has had 4 children so 04 is recorded in column A16 for her, while Thembe has had 2 children (code 02). Dashes are entered for everyone else.","var_universe":"Botswana 1991: Females age 12+ [discrepancies: type I trace; type II 11.2%]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of children born alive to the respondent.","var_catgry":[{"value":"00","labl":"0","is_missing":null,"stats":[]},{"value":"01","labl":"1","is_missing":null,"stats":[]},{"value":"02","labl":"2","is_missing":null,"stats":[]},{"value":"03","labl":"3","is_missing":null,"stats":[]},{"value":"04","labl":"4","is_missing":null,"stats":[]},{"value":"05","labl":"5","is_missing":null,"stats":[]},{"value":"06","labl":"6","is_missing":null,"stats":[]},{"value":"07","labl":"7","is_missing":null,"stats":[]},{"value":"08","labl":"8","is_missing":null,"stats":[]},{"value":"09","labl":"9","is_missing":null,"stats":[]},{"value":"10","labl":"10","is_missing":null,"stats":[]},{"value":"11","labl":"11","is_missing":null,"stats":[]},{"value":"12","labl":"12","is_missing":null,"stats":[]},{"value":"13","labl":"13","is_missing":null,"stats":[]},{"value":"14","labl":"14","is_missing":null,"stats":[]},{"value":"15","labl":"15","is_missing":null,"stats":[]},{"value":"16","labl":"16+","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_CHLDLVMOT","name":"BW1991A_CHLDLVMOT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"199","loc_end_pos":"200","loc_width":"2","loc_rec_seg_no":null,"labl":"Number of children living with the mother","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(Fertility--females, 12 years and over)<\/span><\/p>\n\n<p>16. How many children have been born alive by [the respondent]?<\/p>\n<div class=\"i1\">____<\/div><p>17. How many of these children are living with the mother?<\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A17: Children Living with Mother<\/span><\/p>\n\n<p>How many of these children are living with the mother?<\/p>\n\n<p>In column A17 enter the number of children born to the woman who live with her at her usual place of residence. For visiting mothers, this means those children who live with her in her own household and not at the household where she is now being enumerated.<\/p>\n\n<p>In the sample questionnaire in paragraph 116, only one of Anne's children (Mimi) is living with her. Although Anthony was there on the census night, he normally stays at boarding school and should not be recorded as living with Anne. Therefore, 01 appears in column A17. None of Thembe's children lives with her in her own household in South Africa, so a code of 00 is entered for her. Dashes are entered in this column for everyone else.","var_universe":"Botswana 1991: Females age 12+ who have ever had children [discrepancies: type I trace; type II 5.3%]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of children living with their mother (the respondent).","var_catgry":[{"value":"00","labl":"0","is_missing":null,"stats":[]},{"value":"01","labl":"1","is_missing":null,"stats":[]},{"value":"02","labl":"2","is_missing":null,"stats":[]},{"value":"03","labl":"3","is_missing":null,"stats":[]},{"value":"04","labl":"4","is_missing":null,"stats":[]},{"value":"05","labl":"5","is_missing":null,"stats":[]},{"value":"06","labl":"6","is_missing":null,"stats":[]},{"value":"07","labl":"7","is_missing":null,"stats":[]},{"value":"08","labl":"8","is_missing":null,"stats":[]},{"value":"09","labl":"9","is_missing":null,"stats":[]},{"value":"10","labl":"10+","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_CHLDLVELS","name":"BW1991A_CHLDLVELS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"201","loc_end_pos":"202","loc_width":"2","loc_rec_seg_no":null,"labl":"Number of children living elsewhere","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(Fertility--females, 12 years and over)<\/span><\/p>\n\n<p>16. How many children have been born alive by [the respondent]?<\/p>\n<div class=\"i1\">____<\/div><p>18. How many of these children are living elsewhere?<\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A18: Children Living Elsewhere<\/span><\/p>\n\n<p>How many of these children are living elsewhere?<\/p>\n\n<p>In column A18 enter the number of children born to the woman who are not living with her at her usual place of residence.<\/p>\n\n<p>In the sample questionnaire in paragraph 116, Anthony usually lives away at boarding school, and Anne also has a daughter who is living in South Africa. Therefore, two of her children are living away from her, and code 02 is entered in column A18. Thembe's only surviving child is married and lives in Swaziland, so 01 appears in column A18 for Thembe. Dashes are entered in this column for everyone else.","var_universe":"Botswana 1991: Females age 12+ who have ever had children [discrepancies: type I trace; type II 9.3%]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of the respondent's children living elsewhere.","var_catgry":[{"value":"00","labl":"0","is_missing":null,"stats":[]},{"value":"01","labl":"1","is_missing":null,"stats":[]},{"value":"02","labl":"2","is_missing":null,"stats":[]},{"value":"03","labl":"3","is_missing":null,"stats":[]},{"value":"04","labl":"4","is_missing":null,"stats":[]},{"value":"05","labl":"5","is_missing":null,"stats":[]},{"value":"06","labl":"6","is_missing":null,"stats":[]},{"value":"07","labl":"7","is_missing":null,"stats":[]},{"value":"08","labl":"8","is_missing":null,"stats":[]},{"value":"09","labl":"9","is_missing":null,"stats":[]},{"value":"10","labl":"10","is_missing":null,"stats":[]},{"value":"11","labl":"11+","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_CHLDIED","name":"BW1991A_CHLDIED","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"203","loc_end_pos":"204","loc_width":"2","loc_rec_seg_no":null,"labl":"Number of children who have died","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(Fertility--females, 12 years and over)<\/span><\/p>\n\n<p>16. How many children have been born alive by [the respondent]?<\/p>\n<div class=\"i1\">____<\/div><p>19. How many of these children have died?<\/p>\n<div class=\"i1\">____<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A19: Children who have died<\/span><\/p>\n\n<p>How many of these children have died?<\/p>\n\n<p>In column A19 enter the number of children borne alive by the woman who have since died. Sometimes a woman may forget to mention children who died in infancy or may not want to be reminded of painful events; you must therefore put the question sympathetically and tactfully.<\/p>\n\n<p>In the sample questionnaire in paragraph 116; since one of Anne's sons died in a car accident last January, 01 is entered in column A19. One of Thembe 's children also died several years ago, so 01 is entered in column A19 for her as well.<\/p>\n\n<p><span class=\"pg\">[p.38]<\/span><\/p>\n\n<p>Check that the number of children entered in column A16 is the sum of the numbers entered in columns A17, A18, and A19. Reconcile any differences with the respondent before leaving the household.<\/p>\n\n<p>Remember that the codes in columns A16 - A19 are all two-digit codes. In most cases you must therefore remember to put a zero in front, e.g. 2 children would be coded as 02.<\/p>\n\n<p>If a woman has never had a live birth enter 00 in all the columns. Never leave any column blank. If a woman has children in only one or two categories, insert the figures in the appropriate columns and enter 00 in the remaining column(s).<\/p>\n\n<p>If unknown, enter 99 and explain in the comments box.<\/p>\n\n<p>In the sample questionnaire in paragraph 116, note that the sum of the entries in columns A17 -A19 in row 2 is 04, which is equal to the total number of children ever born to Anne (column\n<br \/>A16). The sum of entries in columns A11 - A19 for Thembe is 02, which corresponds to the number of children ever born to her. Dashes are entered in column A19 for everyone else listed in column A1.","var_universe":"Botswana 1991: Females age 12+ who have ever had children [discrepancies: type I trace; type II 15.9%]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of the respondent's children who have died.","var_catgry":[{"value":"00","labl":"0","is_missing":null,"stats":[]},{"value":"01","labl":"1","is_missing":null,"stats":[]},{"value":"02","labl":"2","is_missing":null,"stats":[]},{"value":"03","labl":"3","is_missing":null,"stats":[]},{"value":"04","labl":"4","is_missing":null,"stats":[]},{"value":"05","labl":"5","is_missing":null,"stats":[]},{"value":"06","labl":"6","is_missing":null,"stats":[]},{"value":"07","labl":"7","is_missing":null,"stats":[]},{"value":"08","labl":"8","is_missing":null,"stats":[]},{"value":"09","labl":"9+","is_missing":null,"stats":[]},{"value":"98","labl":"Unknown","is_missing":null,"stats":[]},{"value":"99","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_BMALE","name":"BW1991A_BMALE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"205","loc_end_pos":"205","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of males born since Independence Day 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(Fertility--females, 12--50 years)<\/span><\/p>\n\n<p>20. How many children have been born alive by [the respondent] since Independence Day 1990?<\/p>\n<div class=\"i1\">____ Male<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns A20 and A21: Fertility for Females 12-50 years<\/span><\/p>\n\n<p>How many children have been borne alive by [the respondent] since Independence day 1990?<\/p>\n\n<p>These columns must be completed for females aged between 12 and 50 years. For a female aged 51 or more, enter a dash in each of columns A20 and A21.<\/p>\n\n<p>If the woman has not had a live birth since Independence Day, 1990, enter 0 in these columns. Otherwise enter the number of male children born in column A20 and the number of female children born in column A21. These are single-digit codes.<\/p>\n\n<p>In the sample questionnaire in paragraph 116, Mimi was born after Independence Day last year, and there were no other children born to Anne after that date, so the entries in columns A20 and A21 are 0 and 1 for Anne. Thembe is older than 50 years, so the question does not apply to her, nor does the question apply to any other person listed in column A1. Dashes are entered in columns A20 and A21 for everyone other than Anne.","var_universe":"Botswana 1991: Females age 12 to 50 [discrepancies: type I trace; type II 27.1%]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of male children born to the respondent since Independence Day 1990.","var_catgry":[{"value":"0","labl":"0","is_missing":null,"stats":[]},{"value":"1","labl":"1+","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_BFEMALE","name":"BW1991A_BFEMALE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"206","loc_end_pos":"206","loc_width":"1","loc_rec_seg_no":null,"labl":"Number of females born since Independence day 1990","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(Fertility--females, 12--50 years)<\/span><\/p>\n\n<p>21. How many children have been born alive by [the respondent] since Independence Day 1990?<\/p>\n<div class=\"i1\">____ Female<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Columns A20 and A21: Fertility for Females 12-50 years<\/span><\/p>\n\n<p>How many children have been borne alive by [the respondent] since Independence day 1990?<\/p>\n\n<p>These columns must be completed for females aged between 12 and 50 years. For a female aged 51 or more, enter a dash in each of columns A20 and A21.<\/p>\n\n<p>If the woman has not had a live birth since Independence Day, 1990, enter 0 in these columns. Otherwise enter the number of male children born in column A20 and the number of female children born in column A21. These are single-digit codes.<\/p>\n\n<p>In the sample questionnaire in paragraph 116, Mimi was born after Independence Day last year, and there were no other children born to Anne after that date, so the entries in columns A20 and A21 are 0 and 1 for Anne. Thembe is older than 50 years, so the question does not apply to her, nor does the question apply to any other person listed in column A1. Dashes are entered in columns A20 and A21 for everyone other than Anne.","var_universe":"Botswana 1991: Females age 12 to 50 [discrepancies: type I trace; type II 26.9%]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the number of female children born to the respondent since Independence Day 1990.","var_catgry":[{"value":"0","labl":"0","is_missing":null,"stats":[]},{"value":"1","labl":"1+","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_MIGSTATUS","name":"BW1991A_MIGSTATUS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"207","loc_end_pos":"207","loc_width":"1","loc_rec_seg_no":null,"labl":"Migratory status 1 year ago","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>7. Now<\/p>\n<div class=\"i1\">Where does [the respondent] usually live?<br \/><br \/>[] 0001 In this housing unit <br \/>[] 0002 Elsewhere in this locality <br \/>[] _ _ _ _ Elsewhere in Botswana (see list) <br \/>[] 77XX Other country (see list)<\/div><p>8. A year ago<\/p>\n<div class=\"i1\">Where did [the respondent] live this time last year?<br \/><br \/>[] 0000 Not born<br \/>[] 0001 In this housing unit<br \/>[] 0002 Elsewhere in this locality<br \/>[] _ _ _ _ Elsewhere in Botswana (see list)<br \/>[] 77XX Other country (see list)<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A7: Place of Usual Living<\/span><\/p>\n\n<p>Where does [the respondent] usually live?<\/p>\n\n<p>The place where a person spends or lives most of the time is that person's place of usual living. For example, for children in boarding school or teachers teaching away from home, enter the name and code of the village where the school is located - or, if the school is outside Botswana, enter the name and code of the country where the school is located.<\/p>\n\n<p>For a person who usually lives in this housing unit (i.e. where he\/she is being enumerated), enter 0001. For a person who usually lives somewhere else in the general locality (as indicated on the top of the questionnaire) where enumeration is taking place, enter 0002. (Though, in urban areas, if they live elsewhere in the same town they should be coded 0002 even if the actual locality within that town is different from the one stated at the top of the questionnaire).<\/p>\n\n<p>For a person who usually lives somewhere else in Botswana, write down the name of the place in the unshaded area under column A7. If the place is a lands area or cattlepost write down the name of the village to which the lands area or cattlepost belongs. If the place 1s a freehold farm, write down the name of the nearest village. Check from the Village\/Country List for the appropriate code of the village. Enter the code on the questionnaire, below the name of the village. If the person lives in an Extension Area in a town, write down the flame of the town and enter the appropriate code for the town.<\/p>\n\n<p>For a person who usually lives outside Botswana, enter the name and code number of the country, prefixing the code number by 77, e.g. if Zimbabwe, write code 7710.<\/p>\n\n<p>For non-citizens working pern1anently or on contract in Botswana, their place of usual living is where they usually live in Botswana. People whose usual place of living is outside Botswana will include: tourists or visiting businessmen (in Botswana for anything from a few days to a month or so); children who are at boarding school outside Botswana, but who, during the census, are here on holiday; and people who work outside Botswana (e.g. on the mines in South Africa) and are visiting their families or friends for a period of leave.<\/p>\n\n<p>In the sample questionnaire in paragraphl03, James, Anne, Mimi and Molelo usually live in this household, so they are coded 0001 in column A1. Their son, Anthony, is usually away at boarding school in Francistown, so he is coded 0201. Note that \"Francistown\" has been written in the unshaded area and the code for Francis town is in the shaded area of column A 7, in the line corresponding to Anthony. David usually lives elsewhere in the same locality, although he frequently spends the night with James and his family. He is therefore coded 0002. Thembe usually lives in South Africa, so \"RSA\" is written in the unshaded area and 7707 is written in the shaded area.<\/p>\n\n<p><span class=\"em\">Column 8: Past Residence<\/span><\/p>\n\n<p>Where did [the respondent] live this time last year?<\/p>\n\n<p>This question deals with the usual place where each person was living a year before the census. Proceed as follows:<\/p>\n\n<p><span class=\"pg\">[p.23]<\/span><\/p>\n\n<p>For children who are under one year of age at the time of enumeration, enter 0000 (because this time a year ago they had not been born).<\/p>\n\n<p>For a person who is living in the same housing unit now as last year, enter 0001. For a person who was living elsewhere in the locality (as indicated on the top of the questionnaire) last year, enter 0002.<\/p>\n\n<p>For a person who was living somewhere else in Botswana, write down the name of the place (as described for A7), and also look up the appropriate code from the Village\/Country List as above. Enter the code below the name of the place you have just written.<\/p>\n\n<p>For a person who was living outside Botswana a year before the census, enter the name and code number for the country, prefixing the code by 77, e.g. if Lesotho, enter code 7703.<\/p>\n\n<p>Remember, this is the usual place of residence a year before the census - even if on the same night one year ago they were temporarily away (e.g. visiting friends\/relatives, in hospital).<\/p>\n\n<p>In the sample questionnaire in paragraph 103, James, Anne and Molelo were all living in this household a year ago, so they are coded 0001 in column AB. Since Mimi had not yet been born a year ago, she is coded 0000. Anthony was living at the boarding school in Francis town a year ago, so he is coded as he was in column A7. David was living in Gaborone last year, so \"Gaborone\" is written in the unshaded area and the code 0101 is entered in the shaded area. Thembe was living in South Africa, and she is coded as she was in column A7.","var_universe":"Botswana 1991: Persons age 1+ [discrepancies: type I trace; type II none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's migratory status 1 year ago.","var_catgry":[{"value":"1","labl":"Not migrated","is_missing":null,"stats":[]},{"value":"2","labl":"Within country migration","is_missing":null,"stats":[]},{"value":"3","labl":"Between country migration","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_DISTNOW","name":"BW1991A_DISTNOW","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"208","loc_end_pos":"209","loc_width":"2","loc_rec_seg_no":null,"labl":"District of usual residence","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">Appendix XV<\/span><div class=\"i1\">____ District<br \/>____ Village<br \/>____ Enumeration Area<br \/>____ CD<br \/>____ Locality<br \/>____ <span class=\"lang\">Lolwapa<\/span>\/house number<br \/>____ Household number<\/div><p>7. Now<\/p>\n<div class=\"i1\">Where does [the respondent] usually live?<br \/><br \/>[] 0001 In this housing unit <br \/>[] 0002 Elsewhere in this locality <br \/>[] _ _ _ _ Elsewhere in Botswana (see list) <br \/>[] 77XX Other country (see list)<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A7: Place of Usual Living<\/span><\/p>\n\n<p>Where does [the respondent] usually live?<\/p>\n\n<p>The place where a person spends or lives most of the time is that person's place of usual living. For example, for children in boarding school or teachers teaching away from home, enter the name and code of the village where the school is located - or, if the school is outside Botswana, enter the name and code of the country where the school is located.<\/p>\n\n<p>For a person who usually lives in this housing unit (i.e. where he\/she is being enumerated), enter 0001. For a person who usually lives somewhere else in the general locality (as indicated on the top of the questionnaire) where enumeration is taking place, enter 0002. (Though, in urban areas, if they live elsewhere in the same town they should be coded 0002 even if the actual locality within that town is different from the one stated at the top of the questionnaire).<\/p>\n\n<p>For a person who usually lives somewhere else in Botswana, write down the name of the place in the unshaded area under column A7. If the place is a lands area or cattlepost write down the name of the village to which the lands area or cattlepost belongs. If the place 1s a freehold farm, write down the name of the nearest village. Check from the Village\/Country List for the appropriate code of the village. Enter the code on the questionnaire, below the name of the village. If the person lives in an Extension Area in a town, write down the flame of the town and enter the appropriate code for the town.<\/p>\n\n<p>For a person who usually lives outside Botswana, enter the name and code number of the country, prefixing the code number by 77, e.g. if Zimbabwe, write code 7710.<\/p>\n\n<p>For non-citizens working pern1anently or on contract in Botswana, their place of usual living is where they usually live in Botswana. People whose usual place of living is outside Botswana will include: tourists or visiting businessmen (in Botswana for anything from a few days to a month or so); children who are at boarding school outside Botswana, but who, during the census, are here on holiday; and people who work outside Botswana (e.g. on the mines in South Africa) and are visiting their families or friends for a period of leave.<\/p>\n\n<p>In the sample questionnaire in paragraphl03, James, Anne, Mimi and Molelo usually live in this household, so they are coded 0001 in column A1. Their son, Anthony, is usually away at boarding school in Francistown, so he is coded 0201. Note that \"Francistown\" has been written in the unshaded area and the code for Francis town is in the shaded area of column A 7, in the line corresponding to Anthony. David usually lives elsewhere in the same locality, although he frequently spends the night with James and his family. He is therefore coded 0002. Thembe usually lives in South Africa, so \"RSA\" is written in the unshaded area and 7707 is written in the shaded area.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's district of usual residence.","var_catgry":[{"value":"01","labl":"Gaborone","is_missing":null,"stats":[]},{"value":"02","labl":"Francistown","is_missing":null,"stats":[]},{"value":"03","labl":"Lobatse","is_missing":null,"stats":[]},{"value":"04","labl":"Selebi Phikwe","is_missing":null,"stats":[]},{"value":"05","labl":"Orapa","is_missing":null,"stats":[]},{"value":"06","labl":"Jwaneng","is_missing":null,"stats":[]},{"value":"07","labl":"Sowa Pan","is_missing":null,"stats":[]},{"value":"10","labl":"Southern","is_missing":null,"stats":[]},{"value":"11","labl":"Barolong","is_missing":null,"stats":[]},{"value":"20","labl":"South East","is_missing":null,"stats":[]},{"value":"31","labl":"Kweneng East","is_missing":null,"stats":[]},{"value":"32","labl":"Kweneng West","is_missing":null,"stats":[]},{"value":"40","labl":"Kgatleng","is_missing":null,"stats":[]},{"value":"50","labl":"Serowe Palapye","is_missing":null,"stats":[]},{"value":"51","labl":"Central Mahalapy","is_missing":null,"stats":[]},{"value":"52","labl":"Central Bobonong","is_missing":null,"stats":[]},{"value":"53","labl":"Central Boteti","is_missing":null,"stats":[]},{"value":"54","labl":"Central Tutume","is_missing":null,"stats":[]},{"value":"60","labl":"North East","is_missing":null,"stats":[]},{"value":"70","labl":"Ngamiland South and Ngamiland Delta","is_missing":null,"stats":[]},{"value":"71","labl":"Ngamiland North","is_missing":null,"stats":[]},{"value":"72","labl":"Chobe","is_missing":null,"stats":[]},{"value":"80","labl":"Ghanzi and Central Kgalagadi Game Reserve (CKGR)","is_missing":null,"stats":[]},{"value":"90","labl":"Kgalagadi South","is_missing":null,"stats":[]},{"value":"91","labl":"Kgalagadi North","is_missing":null,"stats":[]},{"value":"98","labl":"Abroad","is_missing":null,"stats":[]},{"value":"99","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_ZONECODE","name":"BW1991A_ZONECODE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"210","loc_end_pos":"210","loc_width":"1","loc_rec_seg_no":null,"labl":"Urban or rural usual residence","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">Appendix XV<\/span><div class=\"i1\">____ District<br \/>____ Village<br \/>____ Enumeration Area<br \/>____ CD<br \/>____ Locality<br \/>____ <span class=\"lang\">Lolwapa<\/span>\/house number<br \/>____ Household number<\/div><p>7. Now<\/p>\n<div class=\"i1\">Where does [the respondent] usually live?<br \/><br \/>[] 0001 In this housing unit <br \/>[] 0002 Elsewhere in this locality <br \/>[] _ _ _ _ Elsewhere in Botswana (see list) <br \/>[] 77XX Other country (see list)<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A7: Place of Usual Living<\/span><\/p>\n\n<p>Where does [the respondent] usually live?<\/p>\n\n<p>The place where a person spends or lives most of the time is that person's place of usual living. For example, for children in boarding school or teachers teaching away from home, enter the name and code of the village where the school is located - or, if the school is outside Botswana, enter the name and code of the country where the school is located.<\/p>\n\n<p>For a person who usually lives in this housing unit (i.e. where he\/she is being enumerated), enter 0001. For a person who usually lives somewhere else in the general locality (as indicated on the top of the questionnaire) where enumeration is taking place, enter 0002. (Though, in urban areas, if they live elsewhere in the same town they should be coded 0002 even if the actual locality within that town is different from the one stated at the top of the questionnaire).<\/p>\n\n<p>For a person who usually lives somewhere else in Botswana, write down the name of the place in the unshaded area under column A7. If the place is a lands area or cattlepost write down the name of the village to which the lands area or cattlepost belongs. If the place 1s a freehold farm, write down the name of the nearest village. Check from the Village\/Country List for the appropriate code of the village. Enter the code on the questionnaire, below the name of the village. If the person lives in an Extension Area in a town, write down the flame of the town and enter the appropriate code for the town.<\/p>\n\n<p>For a person who usually lives outside Botswana, enter the name and code number of the country, prefixing the code number by 77, e.g. if Zimbabwe, write code 7710.<\/p>\n\n<p>For non-citizens working pern1anently or on contract in Botswana, their place of usual living is where they usually live in Botswana. People whose usual place of living is outside Botswana will include: tourists or visiting businessmen (in Botswana for anything from a few days to a month or so); children who are at boarding school outside Botswana, but who, during the census, are here on holiday; and people who work outside Botswana (e.g. on the mines in South Africa) and are visiting their families or friends for a period of leave.<\/p>\n\n<p>In the sample questionnaire in paragraphl03, James, Anne, Mimi and Molelo usually live in this household, so they are coded 0001 in column A1. Their son, Anthony, is usually away at boarding school in Francistown, so he is coded 0201. Note that \"Francistown\" has been written in the unshaded area and the code for Francis town is in the shaded area of column A 7, in the line corresponding to Anthony. David usually lives elsewhere in the same locality, although he frequently spends the night with James and his family. He is therefore coded 0002. Thembe usually lives in South Africa, so \"RSA\" is written in the unshaded area and 7707 is written in the shaded area.","var_universe":"Botswana 1991: All persons","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's urban-rural status of usual residence.","var_catgry":[{"value":"1","labl":"Rural","is_missing":null,"stats":[]},{"value":"2","labl":"Urban","is_missing":null,"stats":[]},{"value":"8","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_DISTYEAR","name":"BW1991A_DISTYEAR","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"211","loc_end_pos":"212","loc_width":"2","loc_rec_seg_no":null,"labl":"District of residence 1 year ago","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>8. A year ago<\/p>\n<div class=\"i1\">Where did [the respondent] live this time last year?<br \/><br \/>[] 0000 Not born<br \/>[] 0001 In this housing unit<br \/>[] 0002 Elsewhere in this locality<br \/>[] _ _ _ _ Elsewhere in Botswana (see list)<br \/>[] 77XX Other country (see list)<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column 8: Past Residence<\/span><\/p>\n\n<p>Where did [the respondent] live this time last year?<\/p>\n\n<p>This question deals with the usual place where each person was living a year before the census. Proceed as follows:<\/p>\n\n<p><span class=\"pg\">[p.23]<\/span><\/p>\n\n<p>For children who are under one year of age at the time of enumeration, enter 0000 (because this time a year ago they had not been born).<\/p>\n\n<p>For a person who is living in the same housing unit now as last year, enter 0001. For a person who was living elsewhere in the locality (as indicated on the top of the questionnaire) last year, enter 0002.<\/p>\n\n<p>For a person who was living somewhere else in Botswana, write down the name of the place (as described for A7), and also look up the appropriate code from the Village\/Country List as above. Enter the code below the name of the place you have just written.<\/p>\n\n<p>For a person who was living outside Botswana a year before the census, enter the name and code number for the country, prefixing the code by 77, e.g. if Lesotho, enter code 7703.<\/p>\n\n<p>Remember, this is the usual place of residence a year before the census - even if on the same night one year ago they were temporarily away (e.g. visiting friends\/relatives, in hospital).<\/p>\n\n<p>In the sample questionnaire in paragraph 103, James, Anne and Molelo were all living in this household a year ago, so they are coded 0001 in column AB. Since Mimi had not yet been born a year ago, she is coded 0000. Anthony was living at the boarding school in Francis town a year ago, so he is coded as he was in column A7. David was living in Gaborone last year, so \"Gaborone\" is written in the unshaded area and the code 0101 is entered in the shaded area. Thembe was living in South Africa, and she is coded as she was in column A7.","var_universe":"Botswana 1991: Persons age 1+ [discrepancies: type I trace; type II none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's district of residence 1 year ago.","var_catgry":[{"value":"00","labl":"NIU (not in universe)","is_missing":null,"stats":[]},{"value":"01","labl":"Gaborone","is_missing":null,"stats":[]},{"value":"02","labl":"Francistown","is_missing":null,"stats":[]},{"value":"03","labl":"Lobatse","is_missing":null,"stats":[]},{"value":"04","labl":"Selebi Phikwe","is_missing":null,"stats":[]},{"value":"05","labl":"Orapa","is_missing":null,"stats":[]},{"value":"06","labl":"Jwaneng","is_missing":null,"stats":[]},{"value":"07","labl":"Sowa Pan","is_missing":null,"stats":[]},{"value":"10","labl":"Southern","is_missing":null,"stats":[]},{"value":"11","labl":"Barolong","is_missing":null,"stats":[]},{"value":"20","labl":"South East","is_missing":null,"stats":[]},{"value":"31","labl":"Kweneng East","is_missing":null,"stats":[]},{"value":"32","labl":"Kweneng West","is_missing":null,"stats":[]},{"value":"40","labl":"Kgatleng","is_missing":null,"stats":[]},{"value":"50","labl":"Serowe Palapye","is_missing":null,"stats":[]},{"value":"51","labl":"Central Mahalapy","is_missing":null,"stats":[]},{"value":"52","labl":"Central Bobonong","is_missing":null,"stats":[]},{"value":"53","labl":"Central Boteti","is_missing":null,"stats":[]},{"value":"54","labl":"Central Tutume","is_missing":null,"stats":[]},{"value":"60","labl":"North East","is_missing":null,"stats":[]},{"value":"70","labl":"Ngam South Delta","is_missing":null,"stats":[]},{"value":"71","labl":"Ngamiland North","is_missing":null,"stats":[]},{"value":"72","labl":"Chobe","is_missing":null,"stats":[]},{"value":"80","labl":"Ghanzi and Central Kgalagadi Game Reserve (CKGR)","is_missing":null,"stats":[]},{"value":"90","labl":"Kgalagadi South","is_missing":null,"stats":[]},{"value":"91","labl":"Kgalagadi North","is_missing":null,"stats":[]},{"value":"98","labl":"Abroad","is_missing":null,"stats":[]},{"value":"99","labl":"Unknown","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"},{"file_id":"P","vid":"BW1991A_ZONECODE2","name":"BW1991A_ZONECODE2","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"213","loc_end_pos":"213","loc_width":"1","loc_rec_seg_no":null,"labl":"Urban or rural residence 1 year ago","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":"<span class=\"h2\">Section A<\/span><\/p>\n\n<p><span class=\"em\">(All persons)<\/span><\/p>\n\n<p>8. A year ago<\/p>\n<div class=\"i1\">Where did [the respondent] live this time last year?<br \/><br \/>[] 0000 Not born<br \/>[] 0001 In this housing unit<br \/>[] 0002 Elsewhere in this locality<br \/>[] _ _ _ _ Elsewhere in Botswana (see list)<br \/>[] 77XX Other country (see list)<\/div>","var_qstn_postqtxt":null,"var_qstn_ivuinstr":"<span class=\"em\">Column A7: Place of Usual Living<\/span><\/p>\n\n<p>Where does [the respondent] usually live?<\/p>\n\n<p>The place where a person spends or lives most of the time is that person's place of usual living. For example, for children in boarding school or teachers teaching away from home, enter the name and code of the village where the school is located - or, if the school is outside Botswana, enter the name and code of the country where the school is located.<\/p>\n\n<p>For a person who usually lives in this housing unit (i.e. where he\/she is being enumerated), enter 0001. For a person who usually lives somewhere else in the general locality (as indicated on the top of the questionnaire) where enumeration is taking place, enter 0002. (Though, in urban areas, if they live elsewhere in the same town they should be coded 0002 even if the actual locality within that town is different from the one stated at the top of the questionnaire).<\/p>\n\n<p>For a person who usually lives somewhere else in Botswana, write down the name of the place in the unshaded area under column A7. If the place is a lands area or cattlepost write down the name of the village to which the lands area or cattlepost belongs. If the place 1s a freehold farm, write down the name of the nearest village. Check from the Village\/Country List for the appropriate code of the village. Enter the code on the questionnaire, below the name of the village. If the person lives in an Extension Area in a town, write down the flame of the town and enter the appropriate code for the town.<\/p>\n\n<p>For a person who usually lives outside Botswana, enter the name and code number of the country, prefixing the code number by 77, e.g. if Zimbabwe, write code 7710.<\/p>\n\n<p>For non-citizens working pern1anently or on contract in Botswana, their place of usual living is where they usually live in Botswana. People whose usual place of living is outside Botswana will include: tourists or visiting businessmen (in Botswana for anything from a few days to a month or so); children who are at boarding school outside Botswana, but who, during the census, are here on holiday; and people who work outside Botswana (e.g. on the mines in South Africa) and are visiting their families or friends for a period of leave.<\/p>\n\n<p>In the sample questionnaire in paragraphl03, James, Anne, Mimi and Molelo usually live in this household, so they are coded 0001 in column A1. Their son, Anthony, is usually away at boarding school in Francistown, so he is coded 0201. Note that \"Francistown\" has been written in the unshaded area and the code for Francis town is in the shaded area of column A 7, in the line corresponding to Anthony. David usually lives elsewhere in the same locality, although he frequently spends the night with James and his family. He is therefore coded 0002. Thembe usually lives in South Africa, so \"RSA\" is written in the unshaded area and 7707 is written in the shaded area.","var_universe":"Botswana 1991: Persons age 1+ who lived in Botswana 1 year ago [discrepancies: type I trace; type II none]","var_universe_clusion":"I","var_sumstat":[],"var_txt":"This variable indicates the person's urban-rural status of residence 1 year ago.","var_catgry":[{"value":"1","labl":"Urban","is_missing":null,"stats":[]},{"value":"2","labl":"Rural","is_missing":null,"stats":[]},{"value":"9","labl":"NIU (not in universe)","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[{"title":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":null,"max":null,"units":null},"fid":"P"}],"variable_groups":[]}