{"type":"survey","doc_desc":{"title":"PAK_1972_PHC_v01_M_v01_A_IPUMS","idno":"DDI_PAK_1972_PHC_v01_M_v01_A_IPUMS","producers":[{"name":"Minnesota Population Center","abbreviation":"MPC","affiliation":"University of Minnesota","role":"Documentation"}],"prod_date":"2010-12-09","version_statement":{"version":"Version 1.0. Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.\n\nThe intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata."}},"study_desc":{"title_statement":{"idno":"PAK_1972_PHC_v01_M_v01_A_IPUMS","title":"Population Census 1972 - IPUMS Subset","sub_title":"Housing, Economic and Demographic Survey","alt_title":"PHC 1972 (IPUMS Harmonized Subset)"},"authoring_entity":[{"name":"Population Census Organization","affiliation":""}],"production_statement":{"producers":[{"name":"Minnesota Population Center","affiliation":"University of Minnesota","role":"Harmonization of datasets"}]},"distribution_statement":{"contact":[{"name":"IPUMS-International","affiliation":"Minnesota Population Center, University of Minnesota","email":"ipums@pop.umn.edu","uri":"https:\/\/international.ipums.org\/international\/"}]},"series_statement":{"series_name":"Population and Housing Census [hh\/popcen]"},"version_statement":{"version":"Version 1.0. This version contains selected variables from the original census micro data plus harmonized variables from the IPUMS International data base.","version_date":"2010-12-09"},"study_info":{"topics":[{"topic":"Technical Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Geography Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Technical Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Education Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Migration Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Disability Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Other Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work: Occupation Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work: Industry Variables -- PERSON","vocab":"IPUMS","uri":""}],"abstract":"IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.\n\nThe IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.","time_periods":[{"start":"1972-10-16","end":"1972-10-16","cycle":""}],"coll_dates":[{"start":"1972-10-16","end":"1972-10-16","cycle":""}],"nation":[{"name":"Pakistan","abbreviation":"PAK"}],"geog_coverage":"National coverage","geog_unit":"District","analysis_unit":"Household","universe":"The non-institutional population.","data_kind":"Census\/enumeration data [cen]","notes":"UNITS IDENTIFIED:\n- Dwellings: No\n- Vacant units: No\n- Households: Yes\n- Individuals: Yes\n- Group quarters: No\n\nUNIT DESCRIPTIONS:\n- Dwellings: Housing unit refers to those vacant places or residential places where a household can reside. A housing unit may consist of one room or there may be a few rooms which can be used for residential purpose or are being used for residential purpose.  Places under bridges, empty cars of a train or boat can be these types of residences.\n- Households: A household may be a person living above and also comprise a few such persons who live and eat together. They may include members of household relatives, friends, servants and other non-relatives. Eating together means having common cooking arrangements at a place.\n- Group quarters: A group of persons living together who have collective arrangement for taking meal, such as boarding house, restaurant\/hotel, or other institutional places) .","study_scope":"UNITS IDENTIFIED:\n- Dwellings: No\n- Vacant units: No\n- Households: Yes\n- Individuals: Yes\n- Group quarters: No\n\nUNIT DESCRIPTIONS:\n- Dwellings: Housing unit refers to those vacant places or residential places where a household can reside. A housing unit may consist of one room or there may be a few rooms which can be used for residential purpose or are being used for residential purpose.  Places under bridges, empty cars of a train or boat can be these types of residences.\n- Households: A household may be a person living above and also comprise a few such persons who live and eat together. They may include members of household relatives, friends, servants and other non-relatives. Eating together means having common cooking arrangements at a place.\n- Group quarters: A group of persons living together who have collective arrangement for taking meal, such as boarding house, restaurant\/hotel, or other institutional places) ."},"method":{"data_collection":{"sampling_procedure":"MICRODATA SOURCE: Population Census Organization\n\nSAMPLE DESIGN: Approximately 24 thousand blocks were selected out of 75 thousand in the country.  A sample of households would be taken from each block to yield 300,000 households.  Urban households were oversampled relative to rural.\nRoughly 15% of households do not have a head and appear to be fragments.\n*NOTE: The sample excludes 4 districts in the North-West Frontier Province: Chitral, Dir, Swat, and Malakand Agency.\n\nSAMPLE UNIT: Household\n\nSAMPLE FRACTION: 2%\n\nSAMPLE SIZE (person records): 1,453,332","coll_mode":"Face-to-face [f2f]","research_instrument":"The HED sample survey was a second phase of the 1972 Census administered to 300,000 households. The first phase was a full-count census in September 1972 that used a seven-question short form. The HED questionnaire contains two parts. Part I asks questions on housing characteristics and household facilities for both urban and rural areas. Part II asks questions particulars of household member.","coll_situation":"De facto and de jure, CENSUS DAY: October 16, 1972","act_min":"Direct enumeration via house-to-house visits and personal interviews.","weight":"Calculated by the census office"}},"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":"","uri":""}],"contact":[{"name":"IPUMS International","affiliation":"Minnesota Population Center","email":"","uri":"http:\/\/international.ipums.org"}],"cit_req":"Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.0 [Machine-readable database]. Minneapolis: University of Minnesota, 2010.\n\nResearchers should also acknowledge the statistical agency that originally produced the data:\nPakistan, Population Census Organization, Housing, Economic, Demographic Characteristics survey (H.E.D), 1973\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@pop.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."}}},"data_files":[{"file_id":"F1","file_name":"PAK1973-H-H","description":"Household record","case_count":"0","var_count":"26","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"PAK1973-P-H","description":"Person records","case_count":"0","var_count":"91","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"rectype","file_id":"F1","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"1","var_width":"1","var_rec_seg_no":"1","labl":"Record type","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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.","var_codeinstr":"RECTYPE is a 1-digit alphabetic (non-numeric) variable.\n\n\t\t\nH = Household record\nP = Person record","var_concept":[{"name":"Technical Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"cntry","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"2","var_end_pos":"4","var_width":"3","var_rec_seg_no":"1","labl":"Country","var_val_range":[{"units":"REAL","min":"32","max":"862"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"CNTRY 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":"32","labl":"Argentina","stats":null,"type":null},{"value":"40","labl":"Austria","stats":null,"type":null},{"value":"51","labl":"Armenia","stats":null,"type":null},{"value":"68","labl":"Bolivia","stats":null,"type":null},{"value":"76","labl":"Brazil","stats":null,"type":null},{"value":"112","labl":"Belarus","stats":null,"type":null},{"value":"116","labl":"Cambodia","stats":null,"type":null},{"value":"124","labl":"Canada","stats":null,"type":null},{"value":"152","labl":"Chile","stats":null,"type":null},{"value":"156","labl":"China","stats":null,"type":null},{"value":"170","labl":"Colombia","stats":null,"type":null},{"value":"188","labl":"Costa 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Each sample receives a unique 4-digit code.  The first 3 digits are the ISO\/UN codes used in CNTRY, and the last digit identifies the sample within the country ordered by census year.","var_catgry":[{"value":"321","labl":"Argentina 1970","stats":null,"type":null},{"value":"322","labl":"Argentina 1980","stats":null,"type":null},{"value":"323","labl":"Argentina 1991","stats":null,"type":null},{"value":"324","labl":"Argentina 2001","stats":null,"type":null},{"value":"401","labl":"Austria 1971","stats":null,"type":null},{"value":"402","labl":"Austria 1981","stats":null,"type":null},{"value":"403","labl":"Austria 1991","stats":null,"type":null},{"value":"404","labl":"Austria 2001","stats":null,"type":null},{"value":"511","labl":"Armenia 2001","stats":null,"type":null},{"value":"681","labl":"Bolivia 1976","stats":null,"type":null},{"value":"682","labl":"Bolivia 1992","stats":null,"type":null},{"value":"683","labl":"Bolivia 2001","stats":null,"type":null},{"value":"761","labl":"Brazil 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See the household version of the variable.]","var_codeinstr":"This is a 10-digit numeric variable with 0 implied decimal places","var_concept":[{"name":"Technical Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"persons","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"23","var_end_pos":"25","var_width":"3","var_rec_seg_no":"1","labl":"Number of person records in the household","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. 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Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools.\n\nInstitutions typically retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes.  \n\nSome of the usual information for households is often not available for group quarters and vacant units.","var_catgry":[{"value":"0","labl":"Vacant","stats":null,"type":null},{"value":"10","labl":"Households","stats":null,"type":null},{"value":"20","labl":"Group quarters, n.s.","stats":null,"type":null},{"value":"21","labl":"Institutions","stats":null,"type":null},{"value":"22","labl":"Other group quarters","stats":null,"type":null},{"value":"29","labl":"1-person unit created by splitting large household","stats":null,"type":null},{"value":"99","labl":"Unknown\/group quarters not identified","stats":null,"type":null}],"var_concept":[{"name":"Group Quarters Variables -- 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the continent and region of each country.","var_catgry":[{"value":"11","labl":"Eastern Africa","stats":null,"type":null},{"value":"12","labl":"Middle Africa","stats":null,"type":null},{"value":"13","labl":"Northern Africa","stats":null,"type":null},{"value":"14","labl":"Southern Africa","stats":null,"type":null},{"value":"15","labl":"Western Africa","stats":null,"type":null},{"value":"21","labl":"Caribbean","stats":null,"type":null},{"value":"22","labl":"Central America","stats":null,"type":null},{"value":"23","labl":"North America","stats":null,"type":null},{"value":"24","labl":"South America","stats":null,"type":null},{"value":"31","labl":"Central Asia","stats":null,"type":null},{"value":"32","labl":"Eastern Asia","stats":null,"type":null},{"value":"33","labl":"Southern Asia","stats":null,"type":null},{"value":"34","labl":"South-Eastern Asia","stats":null,"type":null},{"value":"35","labl":"Western Asia","stats":null,"type":null},{"value":"41","labl":"Eastern 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It is the largest-scale geographic identifier available in the Pakistan samples.  This variable includes four provinces, two autonomous states, one federally-administered territory, and a federal capital territory (Islamabad Capital Territory).\n\nNOTE: All Pakistan samples exclude the Federally Administered Tribal Areas, Northern Areas (Gilgit-Baltistan) and Kashmir.\n\nThe smaller geographic units for Pakistan are divisions, DIVPK (available only in 1981 and 1998), and districts, DISTPK.","var_catgry":[{"value":"1","labl":"North-West Frontier Province","stats":null,"type":null},{"value":"3","labl":"Punjab","stats":null,"type":null},{"value":"4","labl":"Sindh","stats":null,"type":null},{"value":"5","labl":"Balochistan","stats":null,"type":null},{"value":"6","labl":"Islamabad","stats":null,"type":null}],"var_concept":[{"name":"Geography Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V14","name":"distpk","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"47","var_end_pos":"49","var_width":"3","var_rec_seg_no":"1","labl":"District, Pakistan","var_val_range":[{"units":"REAL","min":"111","max":"611"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"DISTPK indicates the district in which the household resides within Pakistan.  It is the smallest-scale geographic identifier available in the Pakistan samples.  The larger geographic units are division (DIVPK) and province (PROVPK).\n\nAll Pakistan samples exclude the Federally Administered Tribal Areas, Northern Areas (Gilgit-Baltistan) and Kashmir.","var_catgry":[{"value":"111","labl":"Bannu","stats":null,"type":null},{"value":"112","labl":"Lakki Marwat","stats":null,"type":null},{"value":"121","labl":"D.I.Khan","stats":null,"type":null},{"value":"122","labl":"Tank","stats":null,"type":null},{"value":"131","labl":"Abbottabad","stats":null,"type":null},{"value":"132","labl":"Batagram","stats":null,"type":null},{"value":"133","labl":"Haripur","stats":null,"type":null},{"value":"134","labl":"Kohistan","stats":null,"type":null},{"value":"135","labl":"Mansehra","stats":null,"type":null},{"value":"139","labl":"Hazara 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Khan","stats":null,"type":null},{"value":"42","labl":"Muzaffargarh","stats":null,"type":null},{"value":"43","labl":"Multan","stats":null,"type":null},{"value":"46","labl":"Sahiwal","stats":null,"type":null},{"value":"47","labl":"Bahalpur","stats":null,"type":null},{"value":"48","labl":"Bahawalnagar","stats":null,"type":null},{"value":"49","labl":"Rahimyar Khan","stats":null,"type":null},{"value":"50","labl":"Jacobabad","stats":null,"type":null},{"value":"51","labl":"Sukkur","stats":null,"type":null},{"value":"53","labl":"Larkana","stats":null,"type":null},{"value":"54","labl":"Nawabshah","stats":null,"type":null},{"value":"55","labl":"Khairpur","stats":null,"type":null},{"value":"56","labl":"Hyderabad","stats":null,"type":null},{"value":"58","labl":"Dadu","stats":null,"type":null},{"value":"59","labl":"Tharparkar","stats":null,"type":null},{"value":"60","labl":"Sanghar","stats":null,"type":null},{"value":"61","labl":"Thatta","stats":null,"type":null},{"value":"62","labl":"Karachi","stats":null,"type":null},{"value":"67","labl":"Quetta","stats":null,"type":null},{"value":"70","labl":"Sibi","stats":null,"type":null},{"value":"72","labl":"Loralai","stats":null,"type":null},{"value":"73","labl":"Zhob","stats":null,"type":null},{"value":"74","labl":"Chagai","stats":null,"type":null},{"value":"75","labl":"Kalat","stats":null,"type":null},{"value":"76","labl":"Kachhi","stats":null,"type":null},{"value":"77","labl":"Kharan","stats":null,"type":null},{"value":"78","labl":"Mekran","stats":null,"type":null},{"value":"81","labl":"Lasbella","stats":null,"type":null}],"var_concept":[{"name":"Geography Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V25","name":"pk73a_urban","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"70","var_end_pos":"70","var_width":"1","var_rec_seg_no":"1","labl":"Urban","var_qstn_qstnlit":"Urban","var_val_range":[{"units":"REAL","min":"1","max":"6"}],"var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the dwelling is in an urban or rural area.","var_catgry":[{"value":"1","labl":"Rural","stats":null,"type":null},{"value":"2","labl":"Urban population less than 10000","stats":null,"type":null},{"value":"3","labl":"Urban population 10000-25000","stats":null,"type":null},{"value":"4","labl":"Urban population 25000-50000","stats":null,"type":null},{"value":"5","labl":"Urban population 50000-100000","stats":null,"type":null},{"value":"6","labl":"Urban population 100000 and above","stats":null,"type":null}],"var_concept":[{"name":"Geography Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V26","name":"pk73a_wthh","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"71","var_end_pos":"72","var_width":"2","var_rec_seg_no":"1","labl":"Household weight","var_qstn_qstnlit":"Household weight","var_universe":"All households","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the household weight.","var_codeinstr":"This is a 2-digit numeric variable with 0 implied decimal places","var_concept":[{"name":"Technical Variables -- HOUSEHOLD","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V27","name":"rectypep","file_id":"F2","var_intrvl":"discrete","var_start_pos":"1","var_end_pos":"1","var_width":"1","var_rec_seg_no":"1","labl":"Record type [person version]","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"[This file is just a placeholder. See the household version of the variable.]","var_codeinstr":"This is a 1-digit numeric variable with 0 implied decimal places","var_concept":[{"name":"Technical Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"character","var_format_schema":"other","fid":"F2"},{"vid":"V28","name":"cntryp","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"2","var_end_pos":"4","var_width":"3","var_rec_seg_no":"1","labl":"Country [person version]","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"[This file is just a placeholder. See the household version of the variable.]","var_codeinstr":"This is a 3-digit numeric variable with 0 implied decimal places","var_concept":[{"name":"Technical Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V29","name":"yearp","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"5","var_end_pos":"8","var_width":"4","var_rec_seg_no":"1","labl":"Year [person version]","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"[This file is just a placeholder. See the household version of the variable.]","var_codeinstr":"This is a 4-digit numeric variable with 0 implied decimal places","var_concept":[{"name":"Technical Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V30","name":"samplep","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"9","var_end_pos":"12","var_width":"4","var_rec_seg_no":"1","labl":"IPUMS sample identifier [person version]","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"[This file is just a placeholder. See the household version of the variable.]","var_codeinstr":"This is a 4-digit numeric variable with 0 implied decimal places","var_concept":[{"name":"Technical Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V31","name":"serial","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"13","var_end_pos":"22","var_width":"10","var_rec_seg_no":"1","labl":"Household serial number [person version]","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"[This file is just a placeholder. See the household version of the variable.]","var_codeinstr":"This is a 10-digit numeric variable with 0 implied decimal places","var_concept":[{"name":"Technical Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V32","name":"pernum","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"23","var_end_pos":"25","var_width":"3","var_rec_seg_no":"1","labl":"Person number","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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_codeinstr":"PERNUM is a 3-digit numeric variable.","var_concept":[{"name":"Technical Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V33","name":"wtper","file_id":"F2","var_dcml":"4","var_intrvl":"contin","var_start_pos":"26","var_end_pos":"37","var_width":"12","var_rec_seg_no":"1","labl":"Person weight","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"WTPER 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), WTPER must be used to yield accurate statistics for the population.\n\nNOTE: WTPER has 4 implied decimal places.  That is, the last four digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.","var_codeinstr":"WTPER is a 12-digit numeric variable with 4 implied decimal places. See the variable description.","var_concept":[{"name":"Technical Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V34","name":"momloc","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"38","var_end_pos":"40","var_width":"3","var_rec_seg_no":"1","labl":"Mother's location in household","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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.\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.","var_codeinstr":"MOMLOC is a 3-digit numeric variable.\n\n\t\t\n0 = No mother of this person present in the household.\n1 or higher = The person number of this person's mother","var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V35","name":"poploc","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"41","var_end_pos":"43","var_width":"3","var_rec_seg_no":"1","labl":"Father's location in household","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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.\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.","var_codeinstr":"POPLOC is a 3-digit numeric variable.\n\n\t\t\n0 = No father of this person present in the household.\n1 or higher = The person number of this person's father","var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V36","name":"sploc","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"44","var_end_pos":"46","var_width":"3","var_rec_seg_no":"1","labl":"Spouse's location in household","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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.","var_codeinstr":"SPLOC is a 3-digit numeric variable.\n\n\t\t\n0 = No spouse of this person present in the household.\n1 or higher = The person number of this person's spouse","var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V37","name":"parrule","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"47","var_end_pos":"48","var_width":"2","var_rec_seg_no":"1","labl":"Rule for linking parent","var_val_range":[{"units":"REAL","min":"0","max":"52"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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 general design of PARRULE and other constructed variables is modeled on the methods developed for IPUMS-USA \"Family Interrelationships\", but the details vary significantly.","var_catgry":[{"value":"0","labl":"No parent of person in household","stats":null,"type":null},{"value":"11","labl":"Link to head or spouse, unambiguous","stats":null,"type":null},{"value":"12","labl":"Link to head or spouse, ambiguous","stats":null,"type":null},{"value":"21","labl":"Child-Grandchild, within empirical child cap","stats":null,"type":null},{"value":"22","labl":"Child-Grandchild, within constructed child cap","stats":null,"type":null},{"value":"23","labl":"Child-Grandchild, exceeds child cap","stats":null,"type":null},{"value":"31","labl":"Specified Other Relatives, within empirical child cap","stats":null,"type":null},{"value":"32","labl":"Specified Other Relatives, within constructed child cap","stats":null,"type":null},{"value":"33","labl":"Specified Other Relatives, exceeds child cap","stats":null,"type":null},{"value":"41","labl":"Other Relatives, within empirical child cap","stats":null,"type":null},{"value":"42","labl":"Other Relatives, within constructed child cap","stats":null,"type":null},{"value":"51","labl":"Non-Relatives, within empirical child cap","stats":null,"type":null},{"value":"52","labl":"Non-Relatives, within constructed child cap","stats":null,"type":null}],"var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V38","name":"sprule","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"49","var_end_pos":"50","var_width":"2","var_rec_seg_no":"1","labl":"Rule for linking spouse","var_val_range":[{"units":"REAL","min":"0","max":"6"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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 general design of SPRULE and other constructed variables is modeled on the methods developed for IPUMS-USA \"Family Interrelationships\", but the details vary significantly.","var_catgry":[{"value":"0","labl":"No spouse present","stats":null,"type":null},{"value":"1","labl":"Rule 1: strong relationship pairing, couple adjacent","stats":null,"type":null},{"value":"2","labl":"Rule 2: strong relationship pairing, couple not adjacent","stats":null,"type":null},{"value":"3","labl":"Rule 3: weak relationship pairing, couple adjacent","stats":null,"type":null},{"value":"4","labl":"Rule 4: weak relationship pairing, couple not adjacent","stats":null,"type":null},{"value":"5","labl":"Rule 5: weak consensual union pairings","stats":null,"type":null},{"value":"6","labl":"Rule 6: sample-specific rules (usually child-to-child)","stats":null,"type":null}],"var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V39","name":"stepmom","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"51","var_end_pos":"51","var_width":"1","var_rec_seg_no":"1","labl":"Probable stepmother","var_val_range":[{"units":"REAL","min":"0","max":"6"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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 borne or surviving.\n2 = Child reports mother is deceased.\n3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner). \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\nSee 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","stats":null,"type":null},{"value":"1","labl":"Mother has no children borne or surviving","stats":null,"type":null},{"value":"2","labl":"Child reports mother is deceased","stats":null,"type":null},{"value":"3","labl":"Explicitly identified step relationship","stats":null,"type":null},{"value":"4","labl":"Mother reports no children in the home","stats":null,"type":null},{"value":"5","labl":"Age difference implausible","stats":null,"type":null},{"value":"6","labl":"Child exceeds known fertility of mother","stats":null,"type":null}],"var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V40","name":"steppop","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"52","var_end_pos":"52","var_width":"1","var_rec_seg_no":"1","labl":"Probable stepfather","var_val_range":[{"units":"REAL","min":"0","max":"3"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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). \n3 = Age difference between father and child was less than 12 or greater than 54 years.\n\nSee 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. Therefore, STEPPOP will always under-represent their actual number in the population.","var_catgry":[{"value":"0","labl":"Biological father or no father present","stats":null,"type":null},{"value":"1","labl":"Child reports father is deceased","stats":null,"type":null},{"value":"2","labl":"Explicitly identified step relationship","stats":null,"type":null},{"value":"3","labl":"Age difference implausible","stats":null,"type":null}],"var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V41","name":"polymal","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"53","var_end_pos":"53","var_width":"1","var_rec_seg_no":"1","labl":"Man with more than one wife linked","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.  \n\nThe point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy.  Some statistical matching procedures expect to find only one matching record for each subject record.","var_catgry":[{"value":"0","labl":"No more than one wife linked via SPLOC","stats":null,"type":null},{"value":"1","labl":"More than one wife linked via SPLOC","stats":null,"type":null}],"var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V42","name":"poly2nd","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"54","var_end_pos":"54","var_width":"1","var_rec_seg_no":"1","labl":"Woman is second or higher order wife","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.  The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.\n\nThe point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy.  Some statistical matching procedures expect to find only one matching record for each subject record.","var_catgry":[{"value":"0","labl":"Person is not the 2nd or higher order wife linked via SPLOC","stats":null,"type":null},{"value":"1","labl":"Person is the 2nd or higher order wife linked via SPLOC","stats":null,"type":null}],"var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V43","name":"famunit","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"55","var_end_pos":"56","var_width":"2","var_rec_seg_no":"1","labl":"Family unit membership","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"FAMUNIT is a constructed variable indicating to which family within the household a person belongs. \n\nAll persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).","var_codeinstr":"FAMUNIT is a 2-digit numeric variable.\n\n\t\t\nIf there is only one group of related individuals within the household, all of them will be coded \"1;\" if there is a second, separate such group listed on the form, all of them will be coded \"2,\" and so on.","var_concept":[{"name":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V44","name":"famsize","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"57","var_end_pos":"58","var_width":"2","var_rec_seg_no":"1","labl":"Number of own family members in household","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"FAMSIZE counts the number of the person's own family members living in the household with her\/him, including the person her\/himself.  These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.\n\nFAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership).  The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).","var_catgry":[{"value":"1","labl":"1 family member present","stats":null,"type":null},{"value":"2","labl":"2 family members present","stats":null,"type":null},{"value":"3","labl":"3 family members 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The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. \n\nEDATTAN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling.  EDATTAN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both.  In addition to EDATTAN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR, EDUCCL, and EDUCUS). \n\nMany samples also give single years of schooling completed, recorded in YRSCHL.   Some samples provide educational information in a form that could not be incorporated into EDATTAN.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"100","labl":"Less than primary completed (n.s.)","stats":null,"type":null},{"value":"110","labl":"No schooling","stats":null,"type":null},{"value":"120","labl":"Some primary completed","stats":null,"type":null},{"value":"130","labl":"Primary (4 yrs) completed","stats":null,"type":null},{"value":"211","labl":"Primary (5 yrs) completed","stats":null,"type":null},{"value":"212","labl":"Primary (6 yrs) completed","stats":null,"type":null},{"value":"221","labl":"Lower secondary general completed","stats":null,"type":null},{"value":"222","labl":"Lower secondary technical completed","stats":null,"type":null},{"value":"311","labl":"Secondary, general track completed","stats":null,"type":null},{"value":"312","labl":"Some college completed","stats":null,"type":null},{"value":"320","labl":"Secondary or post-secondary technical completed","stats":null,"type":null},{"value":"321","labl":"Secondary, technical track completed","stats":null,"type":null},{"value":"322","labl":"Post-secondary technical education","stats":null,"type":null},{"value":"400","labl":"University completed","stats":null,"type":null},{"value":"999","labl":"Unknown\/missing","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V70","name":"educpk","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"108","var_end_pos":"110","var_width":"3","var_rec_seg_no":"1","labl":"Educational attainment, Pakistan","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"EDUCPK indicates the person's educational attainment in terms of the level of schooling completed.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"100","labl":"None","stats":null,"type":null},{"value":"200","labl":"Primary","stats":null,"type":null},{"value":"210","labl":"Less than primary","stats":null,"type":null},{"value":"220","labl":"Primary","stats":null,"type":null},{"value":"230","labl":"Middle","stats":null,"type":null},{"value":"300","labl":"Secondary","stats":null,"type":null},{"value":"310","labl":"Matric","stats":null,"type":null},{"value":"320","labl":"Intermediate","stats":null,"type":null},{"value":"400","labl":"Tertiary","stats":null,"type":null},{"value":"410","labl":"Bachelors degree","stats":null,"type":null},{"value":"420","labl":"Post-graduate","stats":null,"type":null},{"value":"421","labl":"MA \/ MSCc and above","stats":null,"type":null},{"value":"422","labl":"Bsc and above (engineering)","stats":null,"type":null},{"value":"423","labl":"MBBS \/ BDS and above","stats":null,"type":null},{"value":"424","labl":"LLB and above","stats":null,"type":null},{"value":"430","labl":"Diploma or certificate","stats":null,"type":null},{"value":"431","labl":"Diploma","stats":null,"type":null},{"value":"432","labl":"Certificate","stats":null,"type":null},{"value":"500","labl":"Others","stats":null,"type":null},{"value":"999","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V71","name":"empstat","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"111","var_end_pos":"111","var_width":"1","var_rec_seg_no":"1","labl":"Employment status [general version]","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Employed","stats":null,"type":null},{"value":"2","labl":"Unemployed","stats":null,"type":null},{"value":"3","labl":"Inactive","stats":null,"type":null},{"value":"9","labl":"Unknown\/missing","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V72","name":"empstatd","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"112","var_end_pos":"114","var_width":"3","var_rec_seg_no":"1","labl":"Employment status [detailed version]","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"100","labl":"Employed, not specified","stats":null,"type":null},{"value":"110","labl":"At work","stats":null,"type":null},{"value":"111","labl":"At work, and 'student'","stats":null,"type":null},{"value":"112","labl":"At work, and 'housework'","stats":null,"type":null},{"value":"113","labl":"At work, and 'seeking work'","stats":null,"type":null},{"value":"114","labl":"At work, and 'retired'","stats":null,"type":null},{"value":"115","labl":"At work, and 'no work'","stats":null,"type":null},{"value":"116","labl":"At work, and 'other'","stats":null,"type":null},{"value":"117","labl":"At work, family holding, not specified","stats":null,"type":null},{"value":"118","labl":"At work, family holding, not agricultural","stats":null,"type":null},{"value":"119","labl":"At work, family holding, agricultural","stats":null,"type":null},{"value":"120","labl":"Have job, not at work in reference period","stats":null,"type":null},{"value":"130","labl":"Armed forces","stats":null,"type":null},{"value":"131","labl":"Armed forces, at work","stats":null,"type":null},{"value":"132","labl":"Armed forces, not at work in reference period","stats":null,"type":null},{"value":"133","labl":"Military trainee","stats":null,"type":null},{"value":"140","labl":"Marginally employed","stats":null,"type":null},{"value":"200","labl":"Unemployed, not specified","stats":null,"type":null},{"value":"201","labl":"Unemployed 6 or more months","stats":null,"type":null},{"value":"202","labl":"Worked less than 6 months, permanent job","stats":null,"type":null},{"value":"203","labl":"Worked less than 6 months, temporary job","stats":null,"type":null},{"value":"210","labl":"Unemployed, experienced worker","stats":null,"type":null},{"value":"220","labl":"Unemployed, new worker","stats":null,"type":null},{"value":"230","labl":"No work available","stats":null,"type":null},{"value":"240","labl":"Inactive unemployed","stats":null,"type":null},{"value":"300","labl":"Inactive (not in labor force)","stats":null,"type":null},{"value":"310","labl":"Housework","stats":null,"type":null},{"value":"320","labl":"Unable to work\/disabled","stats":null,"type":null},{"value":"321","labl":"Permanent disability","stats":null,"type":null},{"value":"322","labl":"Temporary illness","stats":null,"type":null},{"value":"323","labl":"Disabled or imprisoned","stats":null,"type":null},{"value":"330","labl":"In school","stats":null,"type":null},{"value":"340","labl":"Retirees and living on rent","stats":null,"type":null},{"value":"341","labl":"Living on rents","stats":null,"type":null},{"value":"342","labl":"Living on rents or pension","stats":null,"type":null},{"value":"343","labl":"Retirees\/pensioners","stats":null,"type":null},{"value":"344","labl":"Retired","stats":null,"type":null},{"value":"345","labl":"Pensioner","stats":null,"type":null},{"value":"346","labl":"Non-retirement pension","stats":null,"type":null},{"value":"347","labl":"Disability pension","stats":null,"type":null},{"value":"348","labl":"Retired without benefits","stats":null,"type":null},{"value":"350","labl":"Elderly","stats":null,"type":null},{"value":"351","labl":"Elderly or disabled","stats":null,"type":null},{"value":"360","labl":"Institutionalized","stats":null,"type":null},{"value":"361","labl":"Prisoner","stats":null,"type":null},{"value":"370","labl":"Intermittant worker","stats":null,"type":null},{"value":"371","labl":"Not working, seasonal worker","stats":null,"type":null},{"value":"372","labl":"Not working, occasional worker","stats":null,"type":null},{"value":"380","labl":"Other income recipient","stats":null,"type":null},{"value":"390","labl":"Inactive, other reasons","stats":null,"type":null},{"value":"999","labl":"Unknown\/missing","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V73","name":"occisco","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"115","var_end_pos":"116","var_width":"2","var_rec_seg_no":"1","labl":"Occupation, ISCO","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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 that in which the person had spent the most time or earned the most money.","var_catgry":[{"value":"1","labl":"Legislators, senior officials and managers","stats":null,"type":null},{"value":"2","labl":"Professionals","stats":null,"type":null},{"value":"3","labl":"Technicians and associate professionals","stats":null,"type":null},{"value":"4","labl":"Clerks","stats":null,"type":null},{"value":"5","labl":"Service workers and shop and market sales","stats":null,"type":null},{"value":"6","labl":"Skilled agricultural and fishery workers","stats":null,"type":null},{"value":"7","labl":"Crafts and related trades workers","stats":null,"type":null},{"value":"8","labl":"Plant and machine operators and assemblers","stats":null,"type":null},{"value":"9","labl":"Elementary occupations","stats":null,"type":null},{"value":"10","labl":"Armed forces","stats":null,"type":null},{"value":"11","labl":"Other occupations, unspecified or n.e.c.","stats":null,"type":null},{"value":"97","labl":"Response suppressed","stats":null,"type":null},{"value":"98","labl":"Unknown","stats":null,"type":null},{"value":"99","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V74","name":"occ","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"117","var_end_pos":"120","var_width":"4","var_rec_seg_no":"1","labl":"Occupation, unrecoded","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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 had 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_codeinstr":"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\nPlease see the codes for: PK73A415","var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V75","name":"indgen","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"121","var_end_pos":"123","var_width":"3","var_rec_seg_no":"1","labl":"Industry, general recode","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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 third digit 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":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"10","labl":"Agriculture, fishing, and forestry","stats":null,"type":null},{"value":"20","labl":"Mining","stats":null,"type":null},{"value":"30","labl":"Manufacturing","stats":null,"type":null},{"value":"40","labl":"Electricity, gas and water","stats":null,"type":null},{"value":"50","labl":"Construction","stats":null,"type":null},{"value":"60","labl":"Wholesale and retail trade","stats":null,"type":null},{"value":"70","labl":"Hotels and restaurants","stats":null,"type":null},{"value":"80","labl":"Transportation and communications","stats":null,"type":null},{"value":"90","labl":"Financial services and insurance","stats":null,"type":null},{"value":"100","labl":"Public administration and defense","stats":null,"type":null},{"value":"110","labl":"Services, not specified","stats":null,"type":null},{"value":"111","labl":"Real estate and business services","stats":null,"type":null},{"value":"112","labl":"Education","stats":null,"type":null},{"value":"113","labl":"Health and social work","stats":null,"type":null},{"value":"114","labl":"Other services","stats":null,"type":null},{"value":"120","labl":"Private household services","stats":null,"type":null},{"value":"130","labl":"Other industry, n.e.c.","stats":null,"type":null},{"value":"998","labl":"Response suppressed","stats":null,"type":null},{"value":"999","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V76","name":"ind","file_id":"F2","var_dcml":"0","var_intrvl":"contin","var_start_pos":"124","var_end_pos":"128","var_width":"5","var_rec_seg_no":"1","labl":"Industry, unrecoded","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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_codeinstr":"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\nPlease see the codes for: PK73A416","var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V77","name":"classwk","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"129","var_end_pos":"129","var_width":"1","var_rec_seg_no":"1","labl":"Class of worker [general version]","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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\nIn other sources, class of worker is sometimes referred to as \"status in employment.\"","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Self-employed","stats":null,"type":null},{"value":"2","labl":"Wage\/salary worker","stats":null,"type":null},{"value":"3","labl":"Unpaid worker","stats":null,"type":null},{"value":"4","labl":"Other","stats":null,"type":null},{"value":"9","labl":"Unknown\/missing","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V78","name":"classwkd","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"130","var_end_pos":"132","var_width":"3","var_rec_seg_no":"1","labl":"Class of worker [detailed version]","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"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\nIn other sources, class of worker is sometimes referred to as \"status in employment.\"","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"100","labl":"Self-employed","stats":null,"type":null},{"value":"101","labl":"Self-employed, unincorporated","stats":null,"type":null},{"value":"102","labl":"Self-employed, incorporated","stats":null,"type":null},{"value":"110","labl":"Employer","stats":null,"type":null},{"value":"111","labl":"Sharecropper, employer","stats":null,"type":null},{"value":"120","labl":"Working on own account","stats":null,"type":null},{"value":"121","labl":"Own account, agriculture","stats":null,"type":null},{"value":"122","labl":"Domestic worker, self-employed","stats":null,"type":null},{"value":"123","labl":"Subsistence worker, own consumption","stats":null,"type":null},{"value":"124","labl":"Own account, other","stats":null,"type":null},{"value":"130","labl":"Member of cooperative","stats":null,"type":null},{"value":"140","labl":"Sharecropper","stats":null,"type":null},{"value":"141","labl":"Sharecropper, self-employed","stats":null,"type":null},{"value":"142","labl":"Sharecropper, employee","stats":null,"type":null},{"value":"150","labl":"Kibbutz member","stats":null,"type":null},{"value":"200","labl":"Wage\/salary worker","stats":null,"type":null},{"value":"201","labl":"Management","stats":null,"type":null},{"value":"202","labl":"Non-management","stats":null,"type":null},{"value":"203","labl":"White collar (non-manual)","stats":null,"type":null},{"value":"204","labl":"Blue collar (manual)","stats":null,"type":null},{"value":"205","labl":"White and blue collar","stats":null,"type":null},{"value":"206","labl":"Day laborer","stats":null,"type":null},{"value":"207","labl":"Employee, with a permanent job","stats":null,"type":null},{"value":"208","labl":"Employee, with an occasional or temporary job","stats":null,"type":null},{"value":"210","labl":"Wage\/salary worker, private employer","stats":null,"type":null},{"value":"211","labl":"Apprentice","stats":null,"type":null},{"value":"212","labl":"Religious worker","stats":null,"type":null},{"value":"213","labl":"Wage\/salary worker, non-profit","stats":null,"type":null},{"value":"214","labl":"White collar","stats":null,"type":null},{"value":"215","labl":"Blue collar","stats":null,"type":null},{"value":"216","labl":"Paid family worker","stats":null,"type":null},{"value":"217","labl":"Cooperative employee","stats":null,"type":null},{"value":"220","labl":"Wage\/salary worker, government","stats":null,"type":null},{"value":"221","labl":"Federal, government employee","stats":null,"type":null},{"value":"222","labl":"State government employee","stats":null,"type":null},{"value":"223","labl":"Local government employee","stats":null,"type":null},{"value":"224","labl":"White collar, public","stats":null,"type":null},{"value":"225","labl":"Blue collar, public","stats":null,"type":null},{"value":"226","labl":"Public companies","stats":null,"type":null},{"value":"227","labl":"Civil servants, local collectives","stats":null,"type":null},{"value":"230","labl":"Domestic worker (work for private household)","stats":null,"type":null},{"value":"240","labl":"Seasonal migrant","stats":null,"type":null},{"value":"241","labl":"Seasonal migrant, no broker","stats":null,"type":null},{"value":"242","labl":"Seasonal migrant, uses broker","stats":null,"type":null},{"value":"250","labl":"Other wage and salary","stats":null,"type":null},{"value":"251","labl":"Canal zone\/commission employee","stats":null,"type":null},{"value":"252","labl":"Government employment\/training program","stats":null,"type":null},{"value":"253","labl":"Mixed state\/private enterprise","stats":null,"type":null},{"value":"300","labl":"Unpaid worker","stats":null,"type":null},{"value":"310","labl":"Unpaid 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Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V89","name":"pk73a_mccode","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"149","var_end_pos":"150","var_width":"2","var_rec_seg_no":"1","labl":"Mother\/child code","var_qstn_qstnlit":"Mother\/child code","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the mother\/child code.","var_catgry":[{"value":"0","labl":"0","stats":null,"type":null},{"value":"1","labl":"1","stats":null,"type":null},{"value":"2","labl":"2","stats":null,"type":null},{"value":"3","labl":"3","stats":null,"type":null},{"value":"4","labl":"4","stats":null,"type":null},{"value":"5","labl":"5","stats":null,"type":null},{"value":"6","labl":"6","stats":null,"type":null},{"value":"7","labl":"7","stats":null,"type":null},{"value":"8","labl":"8","stats":null,"type":null},{"value":"9","labl":"9","stats":null,"type":null},{"value":"99","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Other Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V90","name":"pk73a_relate","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"151","var_end_pos":"152","var_width":"2","var_rec_seg_no":"1","labl":"Relationship","var_qstn_qstnlit":"3. Relationship to the head of household\nWrite relationship of each person listed to the head of household ____","var_qstn_ivulnstr":"4.5 Relationship to the head of household (Column-3)\nActually it is also the part of recognition of that person whose name is written in second column. The definition of head of household has been written in Para 2.7. A person lives alone will be considered head of household. If some persons live together the person declared head by them would be considered the head of the household.\nThe word head of household has already been entered on first line of the third column. It means the name of the person entered first will be head of the household as explained in para-4.4. Besides head, other members of the household will be entered in subsequent lines. The purpose of third column is to show that what relation they have with the head of household and this information will be inquired about every person. It will be asked to the respondent that what relation (Mr.\/Ms.\/Mrs. written in column-2) has with the (Mr.\/Mrs. by name head of household). After inquiring the question of relation about other members besides the head of household, whatever answer is given, the response will be entered in column-3 in front of each name (which is entered in column-2).\nFor example wife, husband, son, daughter, daughter in-law, sister\/brother in law, nieces, grandson, friends, servant, guests and other residents, etc.)","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's relationship to the household head.","var_catgry":[{"value":"1","labl":"Head","stats":null,"type":null},{"value":"2","labl":"Spouse","stats":null,"type":null},{"value":"3","labl":"Child","stats":null,"type":null},{"value":"4","labl":"Child-in-law","stats":null,"type":null},{"value":"5","labl":"Parent or parent-in-law","stats":null,"type":null},{"value":"6","labl":"Sibling, sibling-in-law, and their spouses","stats":null,"type":null},{"value":"7","labl":"Grandchild","stats":null,"type":null},{"value":"8","labl":"Other relatives","stats":null,"type":null},{"value":"9","labl":"Servants","stats":null,"type":null},{"value":"10","labl":"Other","stats":null,"type":null},{"value":"99","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V91","name":"pk73a_sex","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"153","var_end_pos":"153","var_width":"1","var_rec_seg_no":"1","labl":"Sex","var_qstn_qstnlit":"4. Sex\n\n[] 1 Male\n[] 2 Female","var_qstn_ivulnstr":"4.6 Sex (Column-4)\nWrite the relevant code number. Code \"1\" for Male and \"2\" for Female. This code will be written for each person of household and every person of household will be either a male or female, the sex of effeminate will be treated as male and code-1 to will be written for him in column-4.","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's gender.","var_catgry":[{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_concept":[{"name":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V92","name":"pk73a_age","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"154","var_end_pos":"155","var_width":"2","var_rec_seg_no":"1","labl":"Age","var_qstn_qstnlit":"5. Age (in completed years) _ _","var_qstn_ivulnstr":"4.7 Age (Column-5)\nThe age of every person will be written in this column. It may be inquired, \"what is the age of that person?\" (by asking his name.) Age is the interval, which is estimated or calculated in completed years between the period of birth of person and the time of survey.\n\nFor children who are less than one year, 0 (zero) will be entered for their age. The age of every person will be counted from the starting date of survey. The child who has not attained the age of one year, his age will be written [Pg. 29] zero (0) in that column. For the person whose age cannot be known, the enumerator should try to estimate correct age of the member while reminding him memorable past historical events, these can be both local and national. For example, the date of creation of Pakistan in 14th August, 1947, Indian attack on Pakistan in September 1965, a starvation in Bengal in 1943, and an earthquake in Quetta in 1934, etc. In most of cases the correct estimate of age can be guessed with reference to the age of the different members of the household. Estimation of age is a very important task, so the enumerators will have to do hard work and use their wisdom in this connection. Sometimes it is better to guess the age of the members of household. The relation between them should be kept in view for it. It has to start from the youngest child and finish on the oldest person of the household. The age of wife\/husband can be estimated from age at which they got married. The age of first child can be calculated\/known by the difference of age between his parents at the time of marriage and the time of birth of first baby. The age of other children can be guessed by the intermediate interval of their birth.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's age in completed years.","var_catgry":[{"value":"0","labl":"Less than one year","stats":null,"type":null},{"value":"1","labl":"1","stats":null,"type":null},{"value":"2","labl":"2","stats":null,"type":null},{"value":"3","labl":"3","stats":null,"type":null},{"value":"4","labl":"4","stats":null,"type":null},{"value":"5","labl":"5","stats":null,"type":null},{"value":"6","labl":"6","stats":null,"type":null},{"value":"7","labl":"7","stats":null,"type":null},{"value":"8","labl":"8","stats":null,"type":null},{"value":"9","labl":"9","stats":null,"type":null},{"value":"10","labl":"10","stats":null,"type":null},{"value":"11","labl":"11","stats":null,"type":null},{"value":"12","labl":"12","stats":null,"type":null},{"value":"13","labl":"13","stats":null,"type":null},{"value":"14","labl":"14","stats":null,"type":null},{"value":"15","labl":"15","stats":null,"type":null},{"value":"16","labl":"16","stats":null,"type":null},{"value":"17","labl":"17","stats":null,"type":null},{"value":"18","labl":"18","stats":null,"type":null},{"value":"19","labl":"19","stats":null,"type":null},{"value":"20","labl":"20","stats":null,"type":null},{"value":"21","labl":"21","stats":null,"type":null},{"value":"22","labl":"22","stats":null,"type":null},{"value":"23","labl":"23","stats":null,"type":null},{"value":"24","labl":"24","stats":null,"type":null},{"value":"25","labl":"25","stats":null,"type":null},{"value":"26","labl":"26","stats":null,"type":null},{"value":"27","labl":"27","stats":null,"type":null},{"value":"28","labl":"28","stats":null,"type":null},{"value":"29","labl":"29","stats":null,"type":null},{"value":"30","labl":"30","stats":null,"type":null},{"value":"31","labl":"31","stats":null,"type":null},{"value":"32","labl":"32","stats":null,"type":null},{"value":"33","labl":"33","stats":null,"type":null},{"value":"34","labl":"34","stats":null,"type":null},{"value":"35","labl":"35","stats":null,"type":null},{"value":"36","labl":"36","stats":null,"type":null},{"value":"37","labl":"37","stats":null,"type":null},{"value":"38","labl":"38","stats":null,"type":null},{"value":"39","labl":"39","stats":null,"type":null},{"value":"40","labl":"40","stats":null,"type":null},{"value":"41","labl":"41","stats":null,"type":null},{"value":"42","labl":"42","stats":null,"type":null},{"value":"43","labl":"43","stats":null,"type":null},{"value":"44","labl":"44","stats":null,"type":null},{"value":"45","labl":"45","stats":null,"type":null},{"value":"46","labl":"46","stats":null,"type":null},{"value":"47","labl":"47","stats":null,"type":null},{"value":"48","labl":"48","stats":null,"type":null},{"value":"49","labl":"49","stats":null,"type":null},{"value":"50","labl":"50","stats":null,"type":null},{"value":"51","labl":"51","stats":null,"type":null},{"value":"52","labl":"52","stats":null,"type":null},{"value":"53","labl":"53","stats":null,"type":null},{"value":"54","labl":"54","stats":null,"type":null},{"value":"55","labl":"55","stats":null,"type":null},{"value":"56","labl":"56","stats":null,"type":null},{"value":"57","labl":"57","stats":null,"type":null},{"value":"58","labl":"58","stats":null,"type":null},{"value":"59","labl":"59","stats":null,"type":null},{"value":"60","labl":"60","stats":null,"type":null},{"value":"61","labl":"61","stats":null,"type":null},{"value":"62","labl":"62","stats":null,"type":null},{"value":"63","labl":"63","stats":null,"type":null},{"value":"64","labl":"64","stats":null,"type":null},{"value":"65","labl":"65","stats":null,"type":null},{"value":"66","labl":"66","stats":null,"type":null},{"value":"67","labl":"67","stats":null,"type":null},{"value":"68","labl":"68","stats":null,"type":null},{"value":"69","labl":"69","stats":null,"type":null},{"value":"70","labl":"70","stats":null,"type":null},{"value":"71","labl":"71","stats":null,"type":null},{"value":"72","labl":"72","stats":null,"type":null},{"value":"73","labl":"73","stats":null,"type":null},{"value":"74","labl":"74","stats":null,"type":null},{"value":"75","labl":"75","stats":null,"type":null},{"value":"76","labl":"76","stats":null,"type":null},{"value":"77","labl":"77","stats":null,"type":null},{"value":"78","labl":"78","stats":null,"type":null},{"value":"79","labl":"79","stats":null,"type":null},{"value":"80","labl":"80","stats":null,"type":null},{"value":"81","labl":"81","stats":null,"type":null},{"value":"82","labl":"82","stats":null,"type":null},{"value":"83","labl":"83","stats":null,"type":null},{"value":"84","labl":"84","stats":null,"type":null},{"value":"85","labl":"85","stats":null,"type":null},{"value":"86","labl":"86","stats":null,"type":null},{"value":"87","labl":"87","stats":null,"type":null},{"value":"88","labl":"88","stats":null,"type":null},{"value":"89","labl":"89","stats":null,"type":null},{"value":"90","labl":"90","stats":null,"type":null},{"value":"91","labl":"91","stats":null,"type":null},{"value":"92","labl":"92","stats":null,"type":null},{"value":"93","labl":"93","stats":null,"type":null},{"value":"94","labl":"94","stats":null,"type":null},{"value":"95","labl":"95","stats":null,"type":null},{"value":"96","labl":"96","stats":null,"type":null},{"value":"97","labl":"97","stats":null,"type":null},{"value":"98","labl":"98","stats":null,"type":null},{"value":"99","labl":"99 or older","stats":null,"type":null}],"var_concept":[{"name":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V93","name":"pk73a_marst","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"156","var_end_pos":"156","var_width":"1","var_rec_seg_no":"1","labl":"Marital status","var_qstn_qstnlit":"6. Marital status\n\n[] 1 Never married\n[] 2 Married\n[] 3 Widowed\n[] 4 Divorced","var_qstn_ivulnstr":"4.8 Marital status (Col-No.6) \n(Persons of ten years age or above)\n\nThe question should be asked about them (by entered name) whether he\/she is married, unmarried, widowed or divorced. The answer of this question will be written in column-6. If a person is unmarried, code \"1\" will [Pg. 30] be entered for him\/her, for married person code \"2\", for widowed code \"3\", and for divorced code\"4\" will be written in column-6. This question should not be asked of people below ten years old, and code \"1\" will be entered for them. \"Un-married person means those who have never been married,\" \"married are those persons who are married at that time and living like wife\/husband.\" This includes separated persons if their wife\/husband is alive and they are not divorced. The widowed are those whose wife\/husband is dead and still they have not married second time. Divorced means both individuals, which have been divorced or who gave divorce and have not again married. The entry of marital status will be done in regard of present status.","var_val_range":[{"units":"REAL","min":"1","max":"4"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's marital status.","var_catgry":[{"value":"1","labl":"Never married","stats":null,"type":null},{"value":"2","labl":"Married","stats":null,"type":null},{"value":"3","labl":"Widowed","stats":null,"type":null},{"value":"4","labl":"Divorced","stats":null,"type":null}],"var_concept":[{"name":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V94","name":"pk73a_disable","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"157","var_end_pos":"157","var_width":"1","var_rec_seg_no":"1","labl":"Disability","var_qstn_qstnlit":"7. Disability\n\n[] 1 Blind\n[] 2 Deaf and dumb\n[] 3 Crippled\n[] 4 Other handicapped","var_qstn_ivulnstr":"4.9 Disability (Column-7)\nThe following questions of column-7 related to every person of household will be asked.\n\na. Does any person in the household (By entered names) suffer from any type of disability? If the answer is 'Yes' then ask\nb. Which type of disability? Enter the relevant code of disability. Codes of disabilities are given below.\n\n\n1 - Blind\n\n2 - Deaf and dumb\n\n3 - Crippled\n\n4 - Others, the disability other than above mentioned disabilities\n\n5 - None (If not find in above category\n\n\n[Pg. 31] \n\nDifferent types of disabilities are explained as below. If the first question of disability is NO there is a need to ask other questions about that person and code '\"5\" (None) will be entered in the line in which his\/her name is written.\n\nDisability means a person who has physical or organ impairment whether it is natural or due to any accident, illness, a part of his\/her body became non-functional or become weaker.\n\nAccording to the report of H.E.D., the disability has been divided into four categories.\n\n\n1. Blindness\nA person will be considered blind if he\/she could not count the fingers of enumerator before him\/her with or without spectacles at the distance of one foot. \n2. Deaf and dumb\nA person who could not speak and hear will be deaf and dumb. A man who is deaf but can speak or is dumb but can hear will also be included in this category.\n3. Crippled\nA person who is not able to use\/move one or both hands, one or both legs permanently will be known as Crippled\/lame\n4.  Other handicapped\nFirst type is hindrance, Second type means that a person is not a blind, deaf and dumb but he is suffering from another type of disability for example mentally retarded, physically impaired etc. through which his normal life is disturbed","var_val_range":[{"units":"REAL","min":"1","max":"5"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's disability status.","var_catgry":[{"value":"1","labl":"Blind","stats":null,"type":null},{"value":"2","labl":"Deaf and\/or mute","stats":null,"type":null},{"value":"3","labl":"Crippled","stats":null,"type":null},{"value":"4","labl":"Other","stats":null,"type":null},{"value":"5","labl":"None","stats":null,"type":null}],"var_concept":[{"name":"Disability Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V95","name":"pk73a_bpl","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"158","var_end_pos":"159","var_width":"2","var_rec_seg_no":"1","labl":"Place of birth (district)","var_qstn_qstnlit":"Internal migration\n[Questions 8-10.]\n\n8. Birth place (district\/country)\nWrite the name of district in which the person was born. Give name of the country, if born outside Pakistan. ____","var_qstn_ivulnstr":"5.2 Place of birth. (District, Country) (Col 8)\n\t\nThis question may be asked (by entered name of respondent) in which district or country the person was born. If a person is born in any area of Pakistan then enter the name of district or agency where he was born. If he is born out of Pakistan then write only the name of the country. \n\nPlace of birth means that place where a person was born. For the purpose of this survey it can be a country or some geographic unit. If a person was born in Pakistan then the name of its administrative district or agency will be written. If a person was born in Azad Jammu and Kashmir then the name of district along with Azad Jammu and Kashmir Mirpur will also be written. Similarly the person who was born in occupied Kashmir, write name of district along with occupied Kashmir. If a person was born out of Pakistan in some other country then in such a case write only the name of the country (e.g., Iran, Turkey, U.S.A., etc.).","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's district of birth.","var_catgry":[{"value":"1","labl":"Chitral","stats":null,"type":null},{"value":"2","labl":"Dir","stats":null,"type":null},{"value":"3","labl":"Swat","stats":null,"type":null},{"value":"4","labl":"Malakand Agency","stats":null,"type":null},{"value":"5","labl":"Hazara","stats":null,"type":null},{"value":"6","labl":"Mardan","stats":null,"type":null},{"value":"7","labl":"Peshawar","stats":null,"type":null},{"value":"10","labl":"Kohat","stats":null,"type":null},{"value":"14","labl":"D.I. 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Khan, Bannu), Malakand agency, Mohammad agency, Khyber agency, Kurram agency, North Wazirsitan, South Waziristan","stats":null,"type":null},{"value":"92","labl":"Muzaffarabad, Poonch, Mirpur, Gilgit agency, Baltistan agency","stats":null,"type":null},{"value":"93","labl":"Occupied Kashmir","stats":null,"type":null},{"value":"94","labl":"East Pakistan","stats":null,"type":null},{"value":"95","labl":"India","stats":null,"type":null},{"value":"96","labl":"Afghanistan","stats":null,"type":null},{"value":"97","labl":"Rest of the world","stats":null,"type":null},{"value":"99","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V96","name":"pk73a_resdur","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"160","var_end_pos":"161","var_width":"2","var_rec_seg_no":"1","labl":"Duration of continuous residence","var_qstn_qstnlit":"Internal migration\n[Questions 8-10.]\n\n9. Duration of continuous residence in this locality (write duration in completed years) ____","var_qstn_ivulnstr":"5.3 Duration of continuous residence in this locality. (Sample area Col. 9)\nThe question will be asked of how long this member of household (by entered name) has been residing in this area (sample area). This period will be counted since that person used to live in this locality regularly and period spent till this survey. By area means present in that village, town or city in which his housing unit is situated. If he has gone out from this area on leave, business tour, for medical treatment, to see someone, etc for a few days, even then it will be considered that his stay in this area is continuous. The enumerators will write duration of residence of every member of the household in completed years. If the duration of residence is less than one year then write less than one year.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"All persons","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's duration of continuous residence in the present locality (village, town or city).","var_catgry":[{"value":"0","labl":"Less than one year","stats":null,"type":null},{"value":"1","labl":"1","stats":null,"type":null},{"value":"2","labl":"2","stats":null,"type":null},{"value":"3","labl":"3","stats":null,"type":null},{"value":"4","labl":"4","stats":null,"type":null},{"value":"5","labl":"5","stats":null,"type":null},{"value":"6","labl":"6","stats":null,"type":null},{"value":"7","labl":"7","stats":null,"type":null},{"value":"8","labl":"8","stats":null,"type":null},{"value":"9","labl":"9","stats":null,"type":null},{"value":"10","labl":"10","stats":null,"type":null},{"value":"11","labl":"11","stats":null,"type":null},{"value":"12","labl":"12","stats":null,"type":null},{"value":"13","labl":"13","stats":null,"type":null},{"value":"14","labl":"14","stats":null,"type":null},{"value":"15","labl":"15","stats":null,"type":null},{"value":"16","labl":"16","stats":null,"type":null},{"value":"17","labl":"17","stats":null,"type":null},{"value":"18","labl":"18","stats":null,"type":null},{"value":"19","labl":"19","stats":null,"type":null},{"value":"20","labl":"20","stats":null,"type":null},{"value":"21","labl":"21","stats":null,"type":null},{"value":"22","labl":"22","stats":null,"type":null},{"value":"23","labl":"23","stats":null,"type":null},{"value":"24","labl":"24","stats":null,"type":null},{"value":"25","labl":"25","stats":null,"type":null},{"value":"26","labl":"26","stats":null,"type":null},{"value":"27","labl":"27","stats":null,"type":null},{"value":"28","labl":"28","stats":null,"type":null},{"value":"29","labl":"29","stats":null,"type":null},{"value":"30","labl":"30","stats":null,"type":null},{"value":"31","labl":"31","stats":null,"type":null},{"value":"32","labl":"32","stats":null,"type":null},{"value":"33","labl":"33","stats":null,"type":null},{"value":"34","labl":"34","stats":null,"type":null},{"value":"35","labl":"35","stats":null,"type":null},{"value":"36","labl":"36","stats":null,"type":null},{"value":"37","labl":"37","stats":null,"type":null},{"value":"38","labl":"38","stats":null,"type":null},{"value":"39","labl":"39","stats":null,"type":null},{"value":"40","labl":"40","stats":null,"type":null},{"value":"41","labl":"41","stats":null,"type":null},{"value":"42","labl":"42","stats":null,"type":null},{"value":"43","labl":"43","stats":null,"type":null},{"value":"44","labl":"44","stats":null,"type":null},{"value":"45","labl":"45","stats":null,"type":null},{"value":"46","labl":"46","stats":null,"type":null},{"value":"47","labl":"47","stats":null,"type":null},{"value":"48","labl":"48","stats":null,"type":null},{"value":"49","labl":"49","stats":null,"type":null},{"value":"50","labl":"50","stats":null,"type":null},{"value":"51","labl":"51","stats":null,"type":null},{"value":"52","labl":"52","stats":null,"type":null},{"value":"53","labl":"53","stats":null,"type":null},{"value":"54","labl":"54","stats":null,"type":null},{"value":"55","labl":"55","stats":null,"type":null},{"value":"56","labl":"56","stats":null,"type":null},{"value":"57","labl":"57","stats":null,"type":null},{"value":"58","labl":"58","stats":null,"type":null},{"value":"59","labl":"59","stats":null,"type":null},{"value":"60","labl":"60","stats":null,"type":null},{"value":"61","labl":"61","stats":null,"type":null},{"value":"62","labl":"62","stats":null,"type":null},{"value":"63","labl":"63","stats":null,"type":null},{"value":"64","labl":"64","stats":null,"type":null},{"value":"65","labl":"65","stats":null,"type":null},{"value":"66","labl":"66","stats":null,"type":null},{"value":"67","labl":"67","stats":null,"type":null},{"value":"68","labl":"68","stats":null,"type":null},{"value":"69","labl":"69","stats":null,"type":null},{"value":"70","labl":"70","stats":null,"type":null},{"value":"71","labl":"71","stats":null,"type":null},{"value":"72","labl":"72","stats":null,"type":null},{"value":"73","labl":"73","stats":null,"type":null},{"value":"74","labl":"74","stats":null,"type":null},{"value":"75","labl":"75","stats":null,"type":null},{"value":"76","labl":"76","stats":null,"type":null},{"value":"77","labl":"77","stats":null,"type":null},{"value":"78","labl":"78","stats":null,"type":null},{"value":"79","labl":"79","stats":null,"type":null},{"value":"80","labl":"80","stats":null,"type":null},{"value":"81","labl":"81","stats":null,"type":null},{"value":"82","labl":"82","stats":null,"type":null},{"value":"83","labl":"83","stats":null,"type":null},{"value":"84","labl":"84","stats":null,"type":null},{"value":"85","labl":"85","stats":null,"type":null},{"value":"86","labl":"86","stats":null,"type":null},{"value":"87","labl":"87","stats":null,"type":null},{"value":"88","labl":"88","stats":null,"type":null},{"value":"89","labl":"89","stats":null,"type":null},{"value":"90","labl":"90","stats":null,"type":null},{"value":"91","labl":"91","stats":null,"type":null},{"value":"92","labl":"92","stats":null,"type":null},{"value":"93","labl":"93","stats":null,"type":null},{"value":"94","labl":"94","stats":null,"type":null},{"value":"95","labl":"95","stats":null,"type":null},{"value":"96","labl":"96","stats":null,"type":null},{"value":"97","labl":"97","stats":null,"type":null},{"value":"98","labl":"98","stats":null,"type":null},{"value":"99","labl":"99 years and more","stats":null,"type":null}],"var_concept":[{"name":"Migration Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V97","name":"pk73a_resd65","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"162","var_end_pos":"163","var_width":"2","var_rec_seg_no":"1","labl":"Residence in 1965 (district)","var_qstn_qstnlit":"Internal migration\n[Questions 8-10.]\n\n10. Where were you living (place of usual residence) when India attacked Pakistan in September 1965? (Write name of district with urban\/rural indication, e.g. Multan (U) Sukkur (R), etc. ____","var_qstn_ivulnstr":"5.4 Place of residence at the time of Indian attack on Pakistan in September, 1965\n\nAsk the question (by entered name) of where was his usual residence when India attacked Pakistan in September, 1965?\nUsual residence means that geographic unit (village, town, or city) where the members of this household usually reside. By residence means living and eating together like family and usual residence means that place which is occupied by them where they can come and go at their free will without any check. If an owner of the house rents out his house or housing unit to someone on rent or without rent and as long as it is occupied by the other person that will not be treated as owner housing unit. This question will be asked about the residential status of every member of the household when India attacked Pakistan in first week of Sept, 1965. The present residence could be same as that at the time of survey and also be different. If this area is situated within the boundary of Pakistan, then enumerators will write the name of administrative district or agency where that person resided. The same will be the case for area of Azad Kashmir, Northern areas, and occupied Kashmir. The enumerator will have to indicate whether it is situated in an urban area or rural area. For urban area 'U' and for rural area 'R' will be written. If \n\n[Pg. 35] \n\nMultan before the Sept 1965 attack, then 'U' will be written along with Multan. Similarly, if some body was residing in rural area of Sukkur, then 'R' will be written with Sukkur. \nIf some person has gone out from his usual residence temporarily to see someone or for business even then this house will be considered as his place of residence and place of travel or place of business will not be entered as his usual residence.","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Persons age 8+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's district of residence in September 1965, when the Indo-Pakistani War of 1965 started.","var_catgry":[{"value":"1","labl":"Chitral","stats":null,"type":null},{"value":"2","labl":"Dir","stats":null,"type":null},{"value":"3","labl":"Swat","stats":null,"type":null},{"value":"4","labl":"Malakand Agency","stats":null,"type":null},{"value":"5","labl":"Hazara","stats":null,"type":null},{"value":"6","labl":"Mardan","stats":null,"type":null},{"value":"7","labl":"Peshawar","stats":null,"type":null},{"value":"10","labl":"Kohat","stats":null,"type":null},{"value":"14","labl":"D.I. Khan","stats":null,"type":null},{"value":"15","labl":"Bannu","stats":null,"type":null},{"value":"18","labl":"Campbellpur","stats":null,"type":null},{"value":"19","labl":"Federal Capital Islamabad and Rawalpindi","stats":null,"type":null},{"value":"23","labl":"Jhelum","stats":null,"type":null},{"value":"24","labl":"Gujrat","stats":null,"type":null},{"value":"26","labl":"Sargodha","stats":null,"type":null},{"value":"28","labl":"Mianwalai","stats":null,"type":null},{"value":"29","labl":"Lyallpur","stats":null,"type":null},{"value":"31","labl":"Jhang","stats":null,"type":null},{"value":"32","labl":"Lahore","stats":null,"type":null},{"value":"35","labl":"Gujranwala","stats":null,"type":null},{"value":"37","labl":"Sheikhupura","stats":null,"type":null},{"value":"38","labl":"Sialkot","stats":null,"type":null},{"value":"41","labl":"D.G. Khan","stats":null,"type":null},{"value":"42","labl":"Muzaffargarh","stats":null,"type":null},{"value":"43","labl":"Multan","stats":null,"type":null},{"value":"46","labl":"Sahiwal","stats":null,"type":null},{"value":"47","labl":"Bahalpur","stats":null,"type":null},{"value":"48","labl":"Bahawalnagar","stats":null,"type":null},{"value":"49","labl":"Rahimyar Khan","stats":null,"type":null},{"value":"50","labl":"Jacobabad","stats":null,"type":null},{"value":"51","labl":"Sukkur","stats":null,"type":null},{"value":"53","labl":"Larkana","stats":null,"type":null},{"value":"54","labl":"Nawabshah","stats":null,"type":null},{"value":"55","labl":"Khairpur","stats":null,"type":null},{"value":"56","labl":"Hyderabad","stats":null,"type":null},{"value":"58","labl":"Dadu","stats":null,"type":null},{"value":"59","labl":"Tharparkar","stats":null,"type":null},{"value":"60","labl":"Sanghar","stats":null,"type":null},{"value":"61","labl":"Thatta","stats":null,"type":null},{"value":"62","labl":"Karachi","stats":null,"type":null},{"value":"67","labl":"Quetta","stats":null,"type":null},{"value":"70","labl":"Sibi","stats":null,"type":null},{"value":"72","labl":"Loralai","stats":null,"type":null},{"value":"73","labl":"Zhob","stats":null,"type":null},{"value":"74","labl":"Chagai","stats":null,"type":null},{"value":"75","labl":"Kalat","stats":null,"type":null},{"value":"76","labl":"Kachhi","stats":null,"type":null},{"value":"77","labl":"Kharan","stats":null,"type":null},{"value":"78","labl":"Mekran","stats":null,"type":null},{"value":"81","labl":"Lasbella","stats":null,"type":null},{"value":"91","labl":"Fata Tribal area under DC (Peshawar, Kohat, D.I. Khan, Bannu), Malakand agency, Mohammad agency, Khyber agency, Kurram agency, North Wazirsitan, South Waziristan","stats":null,"type":null},{"value":"92","labl":"Muzaffarabad, Poonch, Mirpur, Gilgit agency, Baltistan agency","stats":null,"type":null},{"value":"93","labl":"Occupied Kashmir","stats":null,"type":null},{"value":"94","labl":"East Pakistan","stats":null,"type":null},{"value":"95","labl":"India","stats":null,"type":null},{"value":"96","labl":"Afghanistan","stats":null,"type":null},{"value":"97","labl":"Rest of the world","stats":null,"type":null},{"value":"98","labl":"Unknown","stats":null,"type":null},{"value":"99","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Migration Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V98","name":"pk73a_res65urb","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"164","var_end_pos":"164","var_width":"1","var_rec_seg_no":"1","labl":"Residence in urban or rural area in 1965","var_qstn_qstnlit":"Internal migration\n[Questions 8-10.]\n\n10. Where were you living (place of usual residence) when India attacked Pakistan in September 1965? (Write name of district with urban\/rural indication, e.g. Multan (U) Sukkur (R), etc. ____","var_qstn_ivulnstr":"5.4 Place of residence at the time of Indian attack on Pakistan in September, 1965\n\nAsk the question (by entered name) of where was his usual residence when India attacked Pakistan in September, 1965?\nUsual residence means that geographic unit (village, town, or city) where the members of this household usually reside. By residence means living and eating together like family and usual residence means that place which is occupied by them where they can come and go at their free will without any check. If an owner of the house rents out his house or housing unit to someone on rent or without rent and as long as it is occupied by the other person that will not be treated as owner housing unit. This question will be asked about the residential status of every member of the household when India attacked Pakistan in first week of Sept, 1965. The present residence could be same as that at the time of survey and also be different. If this area is situated within the boundary of Pakistan, then enumerators will write the name of administrative district or agency where that person resided. The same will be the case for area of Azad Kashmir, Northern areas, and occupied Kashmir. The enumerator will have to indicate whether it is situated in an urban area or rural area. For urban area 'U' and for rural area 'R' will be written. If \n\n[Pg. 35] \n\nMultan before the Sept 1965 attack, then 'U' will be written along with Multan. Similarly, if some body was residing in rural area of Sukkur, then 'R' will be written with Sukkur. \nIf some person has gone out from his usual residence temporarily to see someone or for business even then this house will be considered as his place of residence and place of travel or place of business will not be entered as his usual residence.","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"Persons age 8+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the person's residence was in an urban or rural area in September 1965, when the Indo-Pakistani War of 1965 started.","var_catgry":[{"value":"1","labl":"Urban","stats":null,"type":null},{"value":"2","labl":"Rural","stats":null,"type":null},{"value":"8","labl":"Unknown","stats":null,"type":null},{"value":"9","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Migration Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V99","name":"pk73a_lit","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"165","var_end_pos":"165","var_width":"1","var_rec_seg_no":"1","labl":"Literacy","var_qstn_qstnlit":"Educational characteristics\n\n(For persons 5 years of age and above)\n[Questions 11-14.]\n\n11. Literacy\n\n[] 1 Literate with formal education\n[] 2 Literate without formal education\n[] 3 Illiterate","var_qstn_ivulnstr":"6.2 Literacy. Those persons who are able to read and write with understanding in any language will be considered literate. Some people learn reading\/writing through education in school, code number 1 will be given to such person. However, in Pakistan quite a big number of people, without going to school or Madarsah, with their efforts, can read and write, code No. 2 will be given to such persons. Such people who can not read or write at all or can read but not write will be considered illiterate in this survey and code No. 3 will be given to such people.","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"Persons age 5+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the person is literate. Although the question was asked of persons age 5 and older, all age 6 students are listed under illiterate.","var_catgry":[{"value":"1","labl":"Literate, with education","stats":null,"type":null},{"value":"2","labl":"Literate, no education","stats":null,"type":null},{"value":"3","labl":"Illiterate","stats":null,"type":null},{"value":"9","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V100","name":"pk73a_school","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"166","var_end_pos":"166","var_width":"1","var_rec_seg_no":"1","labl":"School attendance","var_qstn_qstnlit":"Educational characteristics\n\n(For persons 5 years of age and above)\n[Questions 11-14.]\n\n12. School attendance\n\n[] 1 Attending general\n[] 2 Attending specialized\n[] 3 Attending Madrassah\n[] 4 Left school\n[] 5 Not attended any school","var_qstn_ivulnstr":"6.3 School or college attendance (Code 12)\nTo get answer for column 12, the following questions in seriatim will have to be asked from every member of the household of ages five and above.\n\n\n1. Ask (by entered name) whether the person is going to school or college. \n\n\nIf the answer to Question number 1 [whether attending school or college] is yes then enquire,\n\n2. Which type of the school or college (ask by entered name) is the person attending?\n\n\na) General   \nb) Specialized\nc) Eastern type Madarsah\n\n\n[Pg. 37]\n\n\nThe answer to this question will be any one of the above three categories and relevant code No. 1, 2, or 3 will be entered against this person.\n \n\nIf the answer to Question Number 1 [whether attending school or college] is 'No' then ask the following questions.\n\n3. Whether (ask by enter name) has left the school or college. \n\nIf the answer is 'yes' then code No. 4 will be written against the name of this person.\n\nIf the answer of this question [whether the person has left school or college] is also 'No' then ask next question.\n\n\n4. Did (ask by entered name) never go to school or college for education?\n\n If the respondent rightly gave answers to the three questions as 'No' then answer to the question should be 'yes' and in Column 12 code No. 5 should be written. \n\nIf someone gives an answer as \"No\" then ask the initial three questions again to get correct information.","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"Persons age 5+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the person attends school.","var_catgry":[{"value":"1","labl":"Attending general","stats":null,"type":null},{"value":"2","labl":"Attending specialized","stats":null,"type":null},{"value":"3","labl":"Attending Madrassah","stats":null,"type":null},{"value":"4","labl":"Left school","stats":null,"type":null},{"value":"5","labl":"Did not attend any school","stats":null,"type":null},{"value":"8","labl":"Unknown","stats":null,"type":null},{"value":"9","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V101","name":"pk73a_edattan","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"167","var_end_pos":"168","var_width":"2","var_rec_seg_no":"1","labl":"Level of education","var_qstn_qstnlit":"Educational characteristics\n\n(For persons 5 years of age and above)\n[Questions 11-14.]\n\n13. Highest grade\/level passed in general or specialized or Madrassah education\nWrite highest grade\/level passed in general, specialized, Madrassah education, viz. Matric M.Sc., B.Edl, Allm, Fazil, etc. ____","var_qstn_ivulnstr":"Educational characteristics (for persons of five years and above)\n\nSchool or college attendance means that a person has been going to an educational institution, Government or private, for attaining regular education. A private school or college, registered or not, where education is given under educational system and students are prepared for examination as private candidates for any level of education of educational board or university. The attendance in these schools or college will also be considered similar, provided the persons who are studying in such institutions are full time students. The attendance in any class of such schools and Madarsah will be treated as attendance of the schools where regular classes or levels under educational system are taken. \n\nAttendance at such institutions which provide training before employment (e.g., technical training centre, P. T. (physical training teachers), C.T. (teaching certificate), J.V. (junior vernacular), S.V. (senior vernacular), B.T., B.Ed, etc.) will be treated as attendance in [Pg. 38] special educational institutions provided the duration of the full time course. The people who are attending such intuitions is six months or equivalent to it a part time course, all such persons will be considered as admitted in the institutions. \n\nDifferent professional education which is not the part of any authentic educational system of the country (e.g., education given during job in-staff, college, or training centers) will not be considered equivalent to attendance in school or college for this survey. Similarly, attending a short time class, evening coaching centre, business examinations, languages and class of hobbies will also not be treated as attendance in school or college. The following institutions where there is no arrangement of education according to classes or levels will not come under the definitions of school or college.\n\n\n1. Below primary, Kindergarten, Montessori, etc.\n2. Adult education\n3. Institution of laborers education\n4. Schools of physical, mental or social education for disabled\n\n\nThe institutions which give on the job training will also be considered as school or college (e.g., training centre of nurses, railways training centre, training centre of post offices, National Institute of Public Administration (NIPA), government sector training institute, staff college, etc. and similar armed or semi armed intuitions). \n\nApprenticeships will also not be treated as attendance in a school or college. Infect attendance means that some body attending an institution with a purpose that he will attain regular education of a course under a syllabus of educational system. Although there may be some temporary break in attendance due to illness or leave. The school or college attendance has been divided into three types.\n\n\n1. General\n2. Specialized education\t\t\n3. Madrasah education\n\n\n[Pg. 39]\n\n1. General Education. General education means primary (first to fifth class), middle (Sixth to eight class), secondary school (ninth and tenth class) and arts course and science degree, including eleventh to fourteenth class. If such students are studying in intermediate or degree colleges they will be considered as studying general education. Those students who have passed B.A. or B.S. courses (i.e., studying in thirteen and fourteen classes) of the universities, they will be considered as attaining general education. \n\n2. Specialized education. The definition of general education given above, education besides arts, commerce ,and science given in universities will be considered as specialized education. Professional arts (technical) and Masters of every type and every level are included in it such as B.Sc. engineering, B.com. (pass honors), MBBS, or B.Ed., etc.). Moreover, higher education of arts, commerce and science in B.A. honors and B.Sc. (honor) and Masters of every subject will be treated as specialized education. \n\nApprenticeship before employment: Technical or professional education will also be treated as specialized education, but on job training (e.g., technical training or some other training obtained during employment) will not included in it. Degree or higher professional education (e.g., education in agricultural, veterinary, engineering, law, etc.) will also be considered specialized education.\n\n3.\tEducation in Madarsah. Madarsah is that place where \"Imam,\"  \"Molvi,\" or some other teacher of the Holy Quran, and at some other places in urban or local languages give education. Madarsah is such an institution where regular education according to the Eastern system or religious education is given.\n\nAlthough Madarsahs and schools are considered as educational institutions in Pakistan, they are not treated equivalent to general education special education as primary or middle or high school. Due to this reason, it is not a part of special education, but this fact cannot be ignored that education of Madarsah is also a step [Pg. 40] towards different grades of education. It requires four years initial class admission 4 to 6 years. Alam 4 or 3 complete 2 years total (16 years in total). Therefore, it is considered a different type. All students who got education in Madarsahs or school they will be kept under education in Madarsah. The people who are not getting education in any institution are of two types. \n\n\n1. The people who got admission in a school or college some time earlier and studied but now has before the school or college. They will be kept under category \"Left the school.\"\n\n2. The people who have never attended any educational institutions for education they will be included in the category \"Not attended any school.\"\n\n\nGeneral, specialized or the highest class\/level completed through education in Madarsah Col. 13.\n\nInformation about every person of five years or above in Col. 13 will be asked. The following questions will be asked in this connection which highest grade level (ask by name of entered household member) in general, specialized or education of madarsah has completed. The people who never attended any educational institution for studies and code No. 5 has been entered in column 12 a dash may be put for such people in this box. The highest grade\/class passed will be entered for them in the following way. \n\nThe highest grade\/level will be entered under general education like primary, middle, metric Inter and B.A. the student who are studying in ninth or tenth class. Middle will be entered for them. The students who are studying in intermediate have passed metric, therefore metric will be entered against their names. Similarly other classes will be entered. However no name of class before completion of primary will be entered such as class II, class III or class IV (the one who has passed class V, primary will be entered for him)\n\n[Pg. 41]\n\nAs far as specialized education is concerned, for the education level below M. A  the highest grades\/level will be entered along with general education provided the level of general education is highest than that is necessary for admission in specialized education (e.g., Metric, PT, Metric, J.V, Inter arts, CT, BA, S.V., Inter Science, Diploma in Engineering, MA LLB, etc.). As regards the level of general education compulsory for specialized education, there is no need for its explanation (e.g., (BA Hon) BSc (Hon) B.E, BSc (Agriculture), MBBS, etc.). \n\nAs regards the Madarssah education the completed level\/grade will also be entered under it (e.g., initial, entry, Alam, Fazal, Kamal). If these levels are different in different areas than these, they may be entered as equivalent to the above mentioned level\/grades. The duration of the level may be kept in view which is necessary for completion of the grade.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Persons age 5+ who ever attended school","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's level of education completed.","var_catgry":[{"value":"0","labl":"Oriental","stats":null,"type":null},{"value":"1","labl":"Less than primary","stats":null,"type":null},{"value":"2","labl":"Primary passed, but less than middle","stats":null,"type":null},{"value":"3","labl":"Middle passed, but less than matric (high school)","stats":null,"type":null},{"value":"4","labl":"Matric passed, but less than intermediate (junior college)","stats":null,"type":null},{"value":"5","labl":"Intermediate passed, but less than degree","stats":null,"type":null},{"value":"6","labl":"Degree passed, but less than higher degree","stats":null,"type":null},{"value":"7","labl":"Post-graduate","stats":null,"type":null},{"value":"8","labl":"Certificate","stats":null,"type":null},{"value":"9","labl":"Diploma","stats":null,"type":null},{"value":"99","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V102","name":"pk73a_edtech","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"169","var_end_pos":"170","var_width":"2","var_rec_seg_no":"1","labl":"Technical education","var_qstn_qstnlit":"Educational characteristics\n\n(For persons 5 years of age and above)\n[Questions 11-14.]\n\n14. Area of specialized education\nWrite area for entries of specialized education in col. 13, e.g. Teaching, Engineering, Agriculture, etc.  ____","var_qstn_ivulnstr":"6.4 Field of Specialized Education (Col. 14)\n\nThe question that will be asked to be entered in col. 14 (ask by name of household member entered) is which field of specialized education the person has completed. This question will be asked from only those persons against whose name the highest level or grade of specialized education has been entered. This question will not be asked highest level or grade in \"general education.\" A dash will be put against the names of such persons. \n\nThe details of different fields of education as these will be entered in Col. 14 are given as described below:\n\nThe enumerators will have to ask more details from the persons against whose names specialized education has been entered in Col 13 (i.e., in which specialized field or sub field of specialized education they have completed). The details of specialized fields or subfields are explained as below.\n\n[Pg. 42]\n\n1. Arts and Social Science.\nRefers to B.A. ( Hon) or M.A. or archeology, economics, humanities, history, international relation, political science, journalism, library science, philosophy, sociology, statistics, Islamite and all other subjects which are offered under arts by the universities, the highest degrees including population, journalism, international affairs, diploma and certificate are included which are offered by the universities under fields of arts.\n\n2. Natural Science. \nRefers to B.Sc ( Hon), M.Sc, the higher degree in astrology, chemistry, biology, botany, physics, geography, gerontology, biochemistry, entomologies, geology, physics and all such other subjects which are offered under natural science by the universities.\n\n3. Teaching and education. \nRefers to B.Ed, Diploma in Physical Training, Certificate of Junior Vernacular (J.V.), Certificate  in Senior Vernacular (S.V.), Certificate in teaching such courses which are offered by the teacher training colleges, universities, institutions of education and research and teacher training normal schools. \n\n4. Law. \nRefers to LLB, of that this education is attained from a Law College or some arts college. \n\n5. Commerce and Administration. \nRefers to B.Com (Hon) irrespective of that it is done from special commerce college or degree colleges of arts, commerce colleges or institutes of business administration where other degree courses are offered or such diploma or certificates in public administration, labor administration are offered which are taught in other commerce training institutes, government, or private. Besides, such subjects as accounting, banking, commerce, management and secretariat assistance and secretariats science, etc.\n\n6. Craft Technology and Engineering. \t\t\n\tRefers to such degree courses of engineering which are offered in engineering universities and engineering colleges. Different technique fields, technical subjects and [Pg. 43] all diploma and certificates of various handicrafts which are offered in technical training institutes for different levels.\n\n7. Medical \nRefers to MBBS or Dentist. Bachelor of dentists science ( B.D.S) and all such higher degrees or diplomas which are offered in medical colleges, pharmacy, midwifery nursing and different subjects of allopathic medicine are included, the training of which is given in the lower level training institutes. Unum Tib, I Vedic homeopathic course which are offered at related colleges come under this. \n\n8. Agriculture, forestry and fishery.\nRefers to such degree courses which are offered at agricultural universities or colleges, veterinary colleges. Institutions which give education related to forestry, including the agricultural training institute and agricultural extension institutes, schools of fisheries, forestry, or related training institutes.\n\n9. Other special education:\nRefers to other degrees, diploma, certificates of special education e.g., construction, drawing, music,  calligraphy, sculpture and other arts the education of which is given arts colleges and schools colleges of social welfare education\/social work. The courses of Home economics or defense science (i.e., the courses which are offered at staff college or education given in other defense colleges) are included in this category.\n\n\nThe enumerator will have to write the special subject of specialized education and its other rule types wherever applicable (e.g., engineering, mechanical, engineering, civil engineering, chemical engineering, meteorology, mining, schools of georgic agriculture and forestry, etc.). Where there is no subtype enter in col. 13 the name of subject (e.g., philosophy, history economics, political science).","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Persons age 5+ who ever attended school","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's technical area of education.","var_catgry":[{"value":"1","labl":"Humanities","stats":null,"type":null},{"value":"2","labl":"Education","stats":null,"type":null},{"value":"3","labl":"Fine Arts","stats":null,"type":null},{"value":"4","labl":"Law","stats":null,"type":null},{"value":"5","labl":"Social science","stats":null,"type":null},{"value":"6","labl":"Natural sciences","stats":null,"type":null},{"value":"7","labl":"Engineering","stats":null,"type":null},{"value":"8","labl":"Medical Science","stats":null,"type":null},{"value":"9","labl":"Agriculture","stats":null,"type":null},{"value":"10","labl":"Veterinary medicine","stats":null,"type":null},{"value":"11","labl":"Other specialized education","stats":null,"type":null},{"value":"12","labl":"No specialized education","stats":null,"type":null},{"value":"99","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Education Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V103","name":"pk73a_worked","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"171","var_end_pos":"171","var_width":"1","var_rec_seg_no":"1","labl":"Worked last week","var_qstn_qstnlit":"Economic characteristics\n(For persons 10 years of age and above)\n\n15. Did he\/she do any work at all last week for pay or profit (for a minimum of 15 hours, if worked as unpaid family helper) or there was a job but did not work).\n\n[] 1 Yes\n[] 2 No","var_qstn_ivulnstr":"7.25 For every person (10 years of age and above) of the household whose name has been entered in column-2, it may be asked, did he work during the last week for pay or wages or did he have work, but did not work during last week, or did he work for 15 or more hours as an unpaid family helper, or did he work as an unpaid family helper. Working and had a job but did not work has been defined in Para No.7.6 and 7.7. If responses to these questions are affirmative, then write code-1 in column-15 and get the information about the columns 16-18. If the response is negative, write code-2 and then make an entry in column-17.\n\n[Pg. 52]\n\n7.26 The economic status of household members who are temporarily absent may be determined through responses of respondents and examples are given below. \n\n\n1) If a person of the household has gone out on official tour or business, then it will be considered that he had been working since last week and code-1 will be written in that column. His common profession, industry, business level and weekly working timing will be entered in column 16, 17, 18 and 19.\n\n2) If a person of the household has gone to see his relatives, or on trip or participating in the marriage ceremony and before going there he was working, then he will be considered on work even he did not work last week, the code-1 will be written in that column. His general profession, industry, occupational status will be entered in column 16, 17, 18 but the working hours will be written \"NIL\" in column 19.\n\n3) If an outgoing person was in search of work before going out then he will not be considered as worker, rather treated as looking for work and code-2 will be entered in that column and code-1 will be entered in column 20.\n\n4) If a person of the household went out for other purpose besides looking for work and before going out he was not working and not in search of work, either he was family helper or under studying then he will neither be considered as worker and nor as looking for work. Code-2 will be entered in that column and in front of him code-5 will be entered in column-20.","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"Persons age 10+","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates whether the person worked last week. Unpaid family helpers who worked at least 15 hours and those who had a job but did not work last week are also listed under having worked last week.","var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null},{"value":"8","labl":"Unknown","stats":null,"type":null},{"value":"9","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V104","name":"pk73a_occ1","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"172","var_end_pos":"172","var_width":"1","var_rec_seg_no":"1","labl":"Occupation, 1 digit","var_qstn_qstnlit":"Economic characteristics\n(For persons 10 years of age and above)\n\nFor those who answered yes in Col. 15\n\n16. What kind of work did he\/she do most of the last week?\n\n[Question 16 was asked of persons who had a job last week, per question 15.]\n\n(Write title of occupation, e.g. Motor Mechanic, Carpenter, Taxi Driver, Cultivator, etc.\n____","var_qstn_ivulnstr":"7.27 Question No.16\nThis question will be asked from those persons of the household who are working or had the job but did not work and from those respondents against whom code-1 has been entered in column 15. \n\nThe respondent may be asked that what type of work he had been doing last week. If he had work but he did not work last week then it will be enquired that what type of work he had but did not work. \n\nIf the respondent tells that more than one type of work is done and inform his actual [Pg. 53] profession, the work will be written on which most of time was spent. The answer to this question may acquire in such a way that his profession\/job may be explained fully. \n\nThe doubtful and common answers may not be entered. Sometime a worker does not know about name of his job but he can explain that what type of work he is doing. The enumerator has to enter correct nature of job or profession. By writing generally some words (for work) or the name of instruments he is using in job. This goal can be achieved. \n\nThe ambiguous entries (e.g., employment, labour, driver, conductor, etc.) will not be entered. The following examples will explain how the entries should be made: \n\n\n\"Agent\" Tell whether he is a premium agent, commission agent, customer agent or agent of advertisements.\n\"Engineer\" Tell whether he is Civil engineer, Mining engineer, Electrical engineer, Chemical engineer, Mechanical engineer, Ship engineer, aeronautical engineer, etc.\n\"Clerk\" It may be written whether he is stenographer, typist, cashier, bookkeeper, postman, calculating machine operator, electronic computer operator, train dispatcher, radio, telephone operator, correspondent clerk, insurance clerk, store room clerk, statistical clerk, travel agency clerk, library clerk, proof reader, card and tap punching machine operator, etc.\n\"Manager\" It may be written whether he is a restaurant manager, hotel manager, cinema manager, wholesale manager, munshi of lawyer, retailer manager, farm manager, sales manager, and transport manager, etc.\n\"Salesman\" Tell whether he is an insurance salesperson, advertising salesperson, wholesale salesperson, retailer salesperson, hawker, or newspaper seller, etc. and also ask whether the laborer of factory is related to spinner, dying worker, cigar \/cigarette maker, electro platter or machine maker etc.\n\"Driver\" Tell whether he is railway driver, tram driver, taxi driver, bus driver, tonga driver, sailor, driver of unmoved engine, crane operator, lifter, etc.\n[Pg. 54]\n\"Mechanic\" Tell whether he is motor truck driver or cycle motorcycle mechanic; textile mechanic; watch maker; or radio, television, telephone, and telegraph mechanic, etc.\n\"Laborer\"  Tell whether he is the laborer of train, seaport, sweeper or dry port.\n\"Inspector\" Tell whether he is the inspector of health, excise, income tax, police, food or electricity, etc.","var_val_range":[{"units":"REAL","min":"0","max":"9"}],"var_universe":"Persons age 10+ who worked last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's occupation (1-digit) last week.","var_catgry":[{"value":"0","labl":"NIU (not in universe)","stats":null,"type":null},{"value":"1","labl":"Professional, technical and related workers","stats":null,"type":null},{"value":"2","labl":"Administrative and managerial workers","stats":null,"type":null},{"value":"3","labl":"Clerical and related workers","stats":null,"type":null},{"value":"4","labl":"Sales workers","stats":null,"type":null},{"value":"5","labl":"Service workers","stats":null,"type":null},{"value":"6","labl":"Agricultural, animal husbandry and forestry workers, fishermen and hunters","stats":null,"type":null},{"value":"7","labl":"Production and related workers, transport equipment operators and laborers","stats":null,"type":null},{"value":"9","labl":"Unknown","stats":null,"type":null}],"var_concept":[{"name":"Work: Occupation Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V105","name":"pk73a_occ3","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"173","var_end_pos":"175","var_width":"3","var_rec_seg_no":"1","labl":"Occupation","var_qstn_qstnlit":"Economic characteristics\n(For persons 10 years of age and above)\n\nFor those who answered yes in Col. 15\n\n16. What kind of work did he\/she do most of the last week?\n\n[Question 16 was asked of persons who had a job last week, per question 15.]\n\n(Write title of occupation, e.g. Motor Mechanic, Carpenter, Taxi Driver, Cultivator, etc.\n____","var_qstn_ivulnstr":"7.27 Question No.16\nThis question will be asked from those persons of the household who are working or had the job but did not work and from those respondents against whom code-1 has been entered in column 15. \n\nThe respondent may be asked that what type of work he had been doing last week. If he had work but he did not work last week then it will be enquired that what type of work he had but did not work. \n\nIf the respondent tells that more than one type of work is done and inform his actual [Pg. 53] profession, the work will be written on which most of time was spent. The answer to this question may acquire in such a way that his profession\/job may be explained fully. \n\nThe doubtful and common answers may not be entered. Sometime a worker does not know about name of his job but he can explain that what type of work he is doing. The enumerator has to enter correct nature of job or profession. By writing generally some words (for work) or the name of instruments he is using in job. This goal can be achieved. \n\nThe ambiguous entries (e.g., employment, labour, driver, conductor, etc.) will not be entered. The following examples will explain how the entries should be made: \n\n\n\"Agent\" Tell whether he is a premium agent, commission agent, customer agent or agent of advertisements.\n\"Engineer\" Tell whether he is Civil engineer, Mining engineer, Electrical engineer, Chemical engineer, Mechanical engineer, Ship engineer, aeronautical engineer, etc.\n\"Clerk\" It may be written whether he is stenographer, typist, cashier, bookkeeper, postman, calculating machine operator, electronic computer operator, train dispatcher, radio, telephone operator, correspondent clerk, insurance clerk, store room clerk, statistical clerk, travel agency clerk, library clerk, proof reader, card and tap punching machine operator, etc.\n\"Manager\" It may be written whether he is a restaurant manager, hotel manager, cinema manager, wholesale manager, munshi of lawyer, retailer manager, farm manager, sales manager, and transport manager, etc.\n\"Salesman\" Tell whether he is an insurance salesperson, advertising salesperson, wholesale salesperson, retailer salesperson, hawker, or newspaper seller, etc. and also ask whether the laborer of factory is related to spinner, dying worker, cigar \/cigarette maker, electro platter or machine maker etc.\n\"Driver\" Tell whether he is railway driver, tram driver, taxi driver, bus driver, tonga driver, sailor, driver of unmoved engine, crane operator, lifter, etc.\n[Pg. 54]\n\"Mechanic\" Tell whether he is motor truck driver or cycle motorcycle mechanic; textile mechanic; watch maker; or radio, television, telephone, and telegraph mechanic, etc.\n\"Laborer\"  Tell whether he is the laborer of train, seaport, sweeper or dry port.\n\"Inspector\" Tell whether he is the inspector of health, excise, income tax, police, food or electricity, etc.","var_val_range":[{"units":"REAL","min":"11","max":"999"}],"var_universe":"Persons age 10+ who worked last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's occupation (3-digit) last week.","var_catgry":[{"value":"11","labl":"Chemist","stats":null,"type":null},{"value":"12","labl":"Physicists","stats":null,"type":null},{"value":"13","labl":"Physical scientists not elsewhere classified","stats":null,"type":null},{"value":"14","labl":"Physical science technicians","stats":null,"type":null},{"value":"21","labl":"Architects and town planners","stats":null,"type":null},{"value":"22","labl":"Civil engineers","stats":null,"type":null},{"value":"23","labl":"Electrical and electronics engineers","stats":null,"type":null},{"value":"24","labl":"Mechanical engineers including marine and aeronautical engineers","stats":null,"type":null},{"value":"25","labl":"Chemical engineers","stats":null,"type":null},{"value":"26","labl":"Metallurgists","stats":null,"type":null},{"value":"27","labl":"Mining engineers and metallurgical engineers","stats":null,"type":null},{"value":"28","labl":"Industrial engineers","stats":null,"type":null},{"value":"29","labl":"Engineers not elsewhere classified","stats":null,"type":null},{"value":"30","labl":"Surveyors","stats":null,"type":null},{"value":"32","labl":"Draughtsman and cartographers including lithographic artists","stats":null,"type":null},{"value":"33","labl":"Civil engineering technicians","stats":null,"type":null},{"value":"34","labl":"Electrical and electronics engineering technicians","stats":null,"type":null},{"value":"35","labl":"Mechanical engineering technicians","stats":null,"type":null},{"value":"36","labl":"Chemical engineering technicians","stats":null,"type":null},{"value":"37","labl":"Metallurgical technicians","stats":null,"type":null},{"value":"38","labl":"Mining technicians","stats":null,"type":null},{"value":"39","labl":"Engineering and related technicians not elsewhere classified","stats":null,"type":null},{"value":"41","labl":"Aircraft pilots, navigators and flight engineers","stats":null,"type":null},{"value":"42","labl":"Ships' deck officers and pilots","stats":null,"type":null},{"value":"43","labl":"Ships' engineers","stats":null,"type":null},{"value":"49","labl":"Aircraft and ships' officers not elsewhere classified","stats":null,"type":null},{"value":"51","labl":"Biologists, zoologists and related scientists","stats":null,"type":null},{"value":"52","labl":"Bacteriologists, pharmacologists and related scientists","stats":null,"type":null},{"value":"53","labl":"Agronomists and related scientists","stats":null,"type":null},{"value":"54","labl":"Life sciences technicians","stats":null,"type":null},{"value":"61","labl":"Medical doctors and surgeons","stats":null,"type":null},{"value":"62","labl":"Medical assistants","stats":null,"type":null},{"value":"63","labl":"Dentists","stats":null,"type":null},{"value":"64","labl":"Dental 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related scientists","stats":null,"type":null},{"value":"193","labl":"Social workers (full-time)","stats":null,"type":null},{"value":"194","labl":"Personal and occupational specialists","stats":null,"type":null},{"value":"195","labl":"Philologists, translators and interpreters","stats":null,"type":null},{"value":"199","labl":"Other professional, technical and related workers","stats":null,"type":null},{"value":"201","labl":"Governors, ministers and legislators not otherwise occupied (employed)","stats":null,"type":null},{"value":"202","labl":"Government administrators and executives","stats":null,"type":null},{"value":"211","labl":"Managers, directors and working proprietors mining and quarrying, manufacturing, construction communications, transport utility and sanitary services, excluding wholesale and retail trade and production managers","stats":null,"type":null},{"value":"212","labl":"Production managers, except farms","stats":null,"type":null},{"value":"213","labl":"Managers, directors and working proprietors of wholesale and retail trade including banks, insurance, real estate and other financial and business services institutions","stats":null,"type":null},{"value":"219","labl":"Managers, directors and working proprietors not elsewhere classified","stats":null,"type":null},{"value":"300","labl":"General Office supervisors","stats":null,"type":null},{"value":"310","labl":"Non-gazette officers in local administration and government","stats":null,"type":null},{"value":"321","labl":"Stenographers, typists and teletypists","stats":null,"type":null},{"value":"322","labl":"Card and tape punching machine operators","stats":null,"type":null},{"value":"331","labl":"Book-keepers, cashiers and related workers","stats":null,"type":null},{"value":"339","labl":"Book-keepers, cashiers and related workers not elsewhere classified","stats":null,"type":null},{"value":"341","labl":"Office machine operators","stats":null,"type":null},{"value":"342","labl":"Automatic data processing machine operators","stats":null,"type":null},{"value":"351","labl":"Railway station masters","stats":null,"type":null},{"value":"352","labl":"Postmasters","stats":null,"type":null},{"value":"359","labl":"Transport and communication supervisors not elsewhere classified","stats":null,"type":null},{"value":"361","labl":"Railway passenger and goods train guards","stats":null,"type":null},{"value":"362","labl":"Bus and train conductors","stats":null,"type":null},{"value":"363","labl":"Inland water transport conductors","stats":null,"type":null},{"value":"371","labl":"Postmen and sorters","stats":null,"type":null},{"value":"372","labl":"Messengers and mail distribution workers (runners)","stats":null,"type":null},{"value":"380","labl":"Tele-communication operators","stats":null,"type":null},{"value":"391","labl":"Stock clerks","stats":null,"type":null},{"value":"392","labl":"Material and production planning clerks","stats":null,"type":null},{"value":"393","labl":"Correspondence 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refiners","stats":null,"type":null},{"value":"773","labl":"Butchers and meat preparers","stats":null,"type":null},{"value":"774","labl":"Food preservers","stats":null,"type":null},{"value":"775","labl":"Dairy product processers","stats":null,"type":null},{"value":"776","labl":"Bakers, confectionery and sweetmeat makers","stats":null,"type":null},{"value":"777","labl":"Tea, coffee and cocoa preparers","stats":null,"type":null},{"value":"778","labl":"Brewers, wine and beverage makers","stats":null,"type":null},{"value":"779","labl":"Food and beverage processors not elsewhere classified","stats":null,"type":null},{"value":"781","labl":"Tobacco preparers","stats":null,"type":null},{"value":"782","labl":"Cigar makers","stats":null,"type":null},{"value":"783","labl":"Cigarette makers","stats":null,"type":null},{"value":"784","labl":"Bidi makers","stats":null,"type":null},{"value":"789","labl":"Tobacco preparers and tobacco product makers not elsewhere 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products","stats":null,"type":null},{"value":"811","labl":"Coopers and cabinet and furniture makers","stats":null,"type":null},{"value":"812","labl":"Wood machinists","stats":null,"type":null},{"value":"813","labl":"Finishers and polishers (wood)","stats":null,"type":null},{"value":"819","labl":"Cabinet makers and related wood workers not elsewhere classified","stats":null,"type":null},{"value":"820","labl":"Stone cutters and carvers","stats":null,"type":null},{"value":"831","labl":"Blacksmiths, hammersmiths and forging press operators","stats":null,"type":null},{"value":"832","labl":"Tool makers, metal pattern makers and metal makers","stats":null,"type":null},{"value":"833","labl":"Machine tool setters\/operators","stats":null,"type":null},{"value":"834","labl":"Metal tool operators","stats":null,"type":null},{"value":"835","labl":"Metal grinders, polishers and tool sharpeners","stats":null,"type":null},{"value":"839","labl":"Blacksmiths, toolmakers and machine tool operators not elsewhere classified","stats":null,"type":null},{"value":"841","labl":"Machinery fitters and machine assemblers","stats":null,"type":null},{"value":"842","labl":"Watch, clock and precision instrument makers","stats":null,"type":null},{"value":"843","labl":"Motor vehicle mechanics","stats":null,"type":null},{"value":"844","labl":"Aircraft engine mechanics","stats":null,"type":null},{"value":"849","labl":"Fitters, assemblers and precision instrument makers (except electrical) not elsewhere classified","stats":null,"type":null},{"value":"851","labl":"Electrical fitters","stats":null,"type":null},{"value":"852","labl":"Electronics fitters","stats":null,"type":null},{"value":"853","labl":"Electrical and electronic equipment assemblers","stats":null,"type":null},{"value":"854","labl":"Radio and television repairmen","stats":null,"type":null},{"value":"855","labl":"Electricians\/wiremen","stats":null,"type":null},{"value":"856","labl":"Telecommunication (telephone and telegraph) installers","stats":null,"type":null},{"value":"857","labl":"Electric linemen and cable jointers","stats":null,"type":null},{"value":"859","labl":"Electrical fitters and related electrical and electronics workers not elsewhere classified","stats":null,"type":null},{"value":"861","labl":"Broadcasting station operators","stats":null,"type":null},{"value":"862","labl":"Sound equipment operators and cinema projectionists","stats":null,"type":null},{"value":"871","labl":"Plumbers and pipe fitters","stats":null,"type":null},{"value":"872","labl":"Welders and flame cutters","stats":null,"type":null},{"value":"873","labl":"Sheet metal workers","stats":null,"type":null},{"value":"874","labl":"Structural metal preparers and erectors","stats":null,"type":null},{"value":"880","labl":"Jeweler and precious metal workers and engravers","stats":null,"type":null},{"value":"891","labl":"Glass formers, cutters, grinders and finishers","stats":null,"type":null},{"value":"892","labl":"Potters and related clay abrasive formers","stats":null,"type":null},{"value":"893","labl":"Glass and ceramics kilnmen","stats":null,"type":null},{"value":"894","labl":"Glass engravers and etchers","stats":null,"type":null},{"value":"895","labl":"Glass and ceramics painters and decorators","stats":null,"type":null},{"value":"899","labl":"Glass formers, potters and related workers not elsewhere classified","stats":null,"type":null},{"value":"901","labl":"Rubber and plastics product makers (except tire makers and tire vulcanisers)","stats":null,"type":null},{"value":"902","labl":"Tyre makers and vulcanisers","stats":null,"type":null},{"value":"910","labl":"Paper and paperboard product makers","stats":null,"type":null},{"value":"921","labl":"Compositors, typesetters and phototypesetters","stats":null,"type":null},{"value":"922","labl":"Printing pressmen","stats":null,"type":null},{"value":"923","labl":"Stereo-typers and electrotypers","stats":null,"type":null},{"value":"924","labl":"Printing engravers (except photo-engravers)","stats":null,"type":null},{"value":"925","labl":"Photo-engravers","stats":null,"type":null},{"value":"926","labl":"Book binders and related workers","stats":null,"type":null},{"value":"927","labl":"Photographic darkroom workers","stats":null,"type":null},{"value":"929","labl":"Printers and related workers not elsewhere classified","stats":null,"type":null},{"value":"931","labl":"Painters, construction","stats":null,"type":null},{"value":"939","labl":"Painters not elsewhere classified","stats":null,"type":null},{"value":"941","labl":"Musical instrument makers and tuners","stats":null,"type":null},{"value":"942","labl":"Basketry weavers and brush makers","stats":null,"type":null},{"value":"943","labl":"Non-metallic mineral product makers","stats":null,"type":null},{"value":"949","labl":"Other production and related workers","stats":null,"type":null},{"value":"951","labl":"Bricklayers, stonemasons and tile setters","stats":null,"type":null},{"value":"952","labl":"Reinforced concreters, cement finishers and terrazzo workers","stats":null,"type":null},{"value":"953","labl":"Roofers","stats":null,"type":null},{"value":"954","labl":"Carpenters, joiners and parquetry workers","stats":null,"type":null},{"value":"955","labl":"Plasterers","stats":null,"type":null},{"value":"956","labl":"Insulators","stats":null,"type":null},{"value":"957","labl":"Glaziers","stats":null,"type":null},{"value":"959","labl":"Construction workers not elsewhere classified","stats":null,"type":null},{"value":"961","labl":"Power generating machinery operators","stats":null,"type":null},{"value":"969","labl":"Stationary engine and related equipment operators n.e.c.","stats":null,"type":null},{"value":"971","labl":"Dokers and fright handlers","stats":null,"type":null},{"value":"972","labl":"Riggers and cable splicers","stats":null,"type":null},{"value":"973","labl":"Crane and hoist operators","stats":null,"type":null},{"value":"974","labl":"Earth-moving and related machinery operators","stats":null,"type":null},{"value":"979","labl":"Material handling equipment operators not elsewhere classified","stats":null,"type":null},{"value":"981","labl":"Ships deck ratings, barge crews and boatman","stats":null,"type":null},{"value":"982","labl":"Ships engine room ratings","stats":null,"type":null},{"value":"983","labl":"Railway engine drivers and firemen","stats":null,"type":null},{"value":"984","labl":"Railway brakemen, signalmen and shunters","stats":null,"type":null},{"value":"985","labl":"Motor vehicle drivers","stats":null,"type":null},{"value":"986","labl":"Animal and animal-drawn vehicle drivers","stats":null,"type":null},{"value":"987","labl":"Cycle rickshaw drivers and pullers (manual)","stats":null,"type":null},{"value":"989","labl":"Transport equipment operators not elsewhere classified","stats":null,"type":null},{"value":"990","labl":"Laborers not elsewhere classified","stats":null,"type":null},{"value":"998","labl":"Unknown","stats":null,"type":null},{"value":"999","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Work: Occupation Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V106","name":"pk73a_ind2","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"176","var_end_pos":"177","var_width":"2","var_rec_seg_no":"1","labl":"Industry, 2 digit","var_qstn_qstnlit":"Economic characteristics\n(For persons 10 years of age and above)\n\nFor those who answered yes in Col. 15\n\n17. What kind of industry or business or service was he\/she working in? ____","var_qstn_ivulnstr":"7.28 Industry\nThe nature of industry or business is determined by the manufacturing or making of products, which are made in any establishment (i.e., firm, mining, and field) where a man worked, or if he did not work during last week, but he did earlier. \n\nIf a firm or establishment has more than [Pg. 55] one composition, the nature of industry will be determined by its major produce of its mostly working level. The difference between industry and occupation will be clarified in the following examples.\n\n\nExample 1\nOccupation (Column 16): Agriculture Farmer or Cultivator\nNature of Job: Sugar-cane crop, grain crop, fruits and vegetables crop and wheat, rice maize sugar cane, edible\/oil seeds etc., also cultivation of fruit and vegetables are included in it.\nIndustry (entry to be made in Col. 17): Agriculture \n\nExample 2\nOccupation (Column 16): Rearing the Live-stock\nNature of Job: The breeding and progeny of cattle whether it is for meet or for wool, fur, etc., and milk and its product will also be included in it.\nIndustry (entry to be made in Col. 17): Breeding and look after of cattle \n\nExample 3\nOccupation (Column 16): Carpenter\nNature of Job: Wooden Furniture\nIndustry (entry to be made in Col. 17): Furniture and artificer in wood work \n\nExample 4\nOccupation (Column 16): Carpenter\nNature of Job: Artifice \/making of railway carriage\nIndustry (entry to be made in Col. 17): Railway Transportation \n\nExample 5\nOccupation (Column 16): Truck Driver\nNature of Job: Goods carrier\nIndustry (entry to be made in Col. 17): Transportation, Truck\n\nExample 6\nOccupation (Column 16): Porter(Coli) (Unskilled laborer who works in food market)\nNature of Job: Carrier of goods in wholesale trade of food\nIndustry (entry to be made in Col. 17): Whole sale and retail trade \n\nExample 7\nOccupation (Column 16): Porter(Coli) (Unskilled laborer who works at a bus stop)\nNature of Job: Road Transportation\nIndustry (entry to be made in Col. 17): Transportation \n\nExample 8\nOccupation (Column 16): Laborer (Mason) (Unskilled laborer who works in construction)\nNature of Job: Construction of building\nIndustry (entry to be made in Col. 17): Construction \n\nExample 9\nOccupation (Column 16): Carpenter (power loomed)\nNature of Job: Carpet\/machine manufacturing\nIndustry (entry to be made in Col. 17): Carpet\/machine manufacturing \n\nExample 10\nOccupation (Column 16): Carpenter (Maker of agricultural tools)\nNature of Job: Manufacturer of  agricultural tools\nIndustry (entry to be made in Col. 17): Manufacturing of agricultural tools\n\nExample 11\nOccupation (Column 16): Salesman\nNature of Job: Cloth market, shoes market sweet, departmental store\nIndustry (entry to be made in Col. 17): Wholesale and retail business","var_val_range":[{"units":"REAL","min":"11","max":"99"}],"var_universe":"Persons age 10+ who worked last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the industry (2-digit) the person worked last week.","var_catgry":[{"value":"11","labl":"Agriculture, livestock and hunting","stats":null,"type":null},{"value":"12","labl":"Forestry and logging","stats":null,"type":null},{"value":"13","labl":"Fishing","stats":null,"type":null},{"value":"21","labl":"Coal Mining","stats":null,"type":null},{"value":"22","labl":"Crude petroleum and natural gas production","stats":null,"type":null},{"value":"23","labl":"Metal ore mining","stats":null,"type":null},{"value":"29","labl":"Other mining","stats":null,"type":null},{"value":"31","labl":"Manufacture of food, beverages and tobacco","stats":null,"type":null},{"value":"32","labl":"Textile, wearing apparel and leather industries","stats":null,"type":null},{"value":"33","labl":"Manufacture of wood and wood products including furniture","stats":null,"type":null},{"value":"34","labl":"Manufacture of paper and paper products, printing and publishing","stats":null,"type":null},{"value":"35","labl":"Manufacture of chemicals, chemical products, and products of petroleum, coal, rubber and plastics","stats":null,"type":null},{"value":"36","labl":"Manufacture of non-metallic mineral products except petroleum and coal","stats":null,"type":null},{"value":"37","labl":"Basic metal industries","stats":null,"type":null},{"value":"38","labl":"Manufacture of fabricated metal products, machinery and equipment","stats":null,"type":null},{"value":"39","labl":"Other manufacturing and handicrafts","stats":null,"type":null},{"value":"41","labl":"Electricity, gas and steam","stats":null,"type":null},{"value":"42","labl":"Water works and supply","stats":null,"type":null},{"value":"51","labl":"Building construction and related activities","stats":null,"type":null},{"value":"52","labl":"Construction of streets, roads, highways and bridges","stats":null,"type":null},{"value":"53","labl":"Construction of irrigation and hydroelectric projects","stats":null,"type":null},{"value":"54","labl":"Construction of docks and communications projects","stats":null,"type":null},{"value":"59","labl":"Construction projects, n.e.c.","stats":null,"type":null},{"value":"61","labl":"Wholesale trade","stats":null,"type":null},{"value":"62","labl":"Retail trade","stats":null,"type":null},{"value":"63","labl":"Restaurants and hotels","stats":null,"type":null},{"value":"71","labl":"Transport and storage","stats":null,"type":null},{"value":"72","labl":"Communication","stats":null,"type":null},{"value":"81","labl":"Financial institutions","stats":null,"type":null},{"value":"82","labl":"Insurance","stats":null,"type":null},{"value":"83","labl":"Real estate and business services","stats":null,"type":null},{"value":"91","labl":"Public administration","stats":null,"type":null},{"value":"92","labl":"Sanitary and similar services","stats":null,"type":null},{"value":"93","labl":"Social and related community services","stats":null,"type":null},{"value":"94","labl":"Recreation and cultural services","stats":null,"type":null},{"value":"95","labl":"Personal and household services","stats":null,"type":null},{"value":"96","labl":"International and other extra territorial bodies","stats":null,"type":null},{"value":"98","labl":"Unknown","stats":null,"type":null},{"value":"99","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Work: Industry Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V107","name":"pk73a_classwk","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"178","var_end_pos":"178","var_width":"1","var_rec_seg_no":"1","labl":"Work status","var_qstn_qstnlit":"Economic characteristics\n(For persons 10 years of age and above)\n\nFor those who answered yes in Col. 15\n\n18. Did he\/she work as\n\n[] 1 Employer\n[] 2 Employee\n[] 3 Self employed\n[] 4 Unpaid family helper","var_qstn_ivulnstr":"7.29 Enquire from respondent the status of his employment. The definition of employment is given in sections 7.11 to 7.15. Write code 1 in this column in case of employer, if he\/she is employee the code 2, and for self employed code 3 will be entered. If he\/she is an unpaid family helper, then code 4 may be written. If a person had work but he did not work last week then enquire from him what was the status of employment  when he had work and write the code according to that status.\n\nColumn 18\nDid he\/she work as :\n\n1. Employer\n2. Employee\n3. Self employed\n4. Unpaid family helper?\n\n\n7.30 For instance if a man keeps\/hires employees A and B for wages\/pay or for their aid farming a cash crop in his own land and his sons C and D worked unpaid in his land and [the man] himself worked then his status will be as employer. The position of A and B will be as employee and C and D will be as unpaid family helper provided both worked more than fifteen hours in last week. \n\nIf a man works in his own land and he has not hired any employee then his employment status will be self-employed as though his family members are unpaid family helpers for him without any reward. Sometime the enumerator can face difficulty determining [Pg. 57] the level of employment of the people who are working under different employers. However, it should be kept in mind that [if] the employers determine the timing of work of employees then their [the employees] position will be as employee otherwise they will be considered as self-employed. \n\nIt has been further elaborated in below.\n\n\nOccupation: Unskilled laborer who works in food market\nIndustry: Trade\nNature of job: He  works in food market for fixed hours and timing of work is determined by employer\nStatus of Employment: Employee \n\nOccupation: Unskilled laborer who works in food market\nIndustry: Transportation\nNature of job: The people give him wages for the service of carrying the goods from one place to other or he loads and unloads the goods and his timing has not be determined by anyone he works own his way\nStatus of Employment: Self-employed \n\nOccupation: Laborer (Mason) (Unskilled laborer who work in construction)\nIndustry: Construction\nNature of job: He works on contract basis and gets wages proportion to work without fixed time\nStatus of Employment: Self-employed\n\nOccupation: Laborer (Mason) (Unskilled laborer who work in construction)\nIndustry: Construction\nNature of job: His timing of work is fixed by the employer and he has to work within fixed time\nStatus of Employment: Employee \n\nOccupation: Porter (Coli) (Unskilled laborer who work in Bus stop)\nIndustry: Transportation\nNature of job: He loads\/unloads and looks after the luggage of passengers and his timing of laboring is not fixed\nStatus of Employment: Self-employed \n\nOccupation: A water carrier (Unskilled laborer who provide water in the houses and shops)\nIndustry: Self-service\nNature of job: He provides the water at different houses and shops and he gets laboring according to quantity of water his timing of laboring is not fixed\nStatus of Employment: Self-employed \n\nOccupation: A Water carrier (Unskilled laborer who works in construction)\nIndustry: Construction\nNature of job: He is employed for providing water in a construction company and his timing of laboring is fixed and he works daily and his work time is compulsory.\nStatus of Employment: Employee","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"Persons age 10+ who worked last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's work status (class of worker).","var_catgry":[{"value":"1","labl":"Employer","stats":null,"type":null},{"value":"2","labl":"Employee","stats":null,"type":null},{"value":"3","labl":"Self employed","stats":null,"type":null},{"value":"4","labl":"Unpaid family worker","stats":null,"type":null},{"value":"8","labl":"Unknown","stats":null,"type":null},{"value":"9","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V108","name":"pk73a_workhr","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"179","var_end_pos":"181","var_width":"3","var_rec_seg_no":"1","labl":"Hours of work","var_qstn_qstnlit":"Economic characteristics\n(For persons 10 years of age and above)\n\nFor those who answered yes in Col. 15\n\n19. How many hours did he\/she work during the last week? ____","var_qstn_ivulnstr":"7.31 Enter the hours here as the respondent worked last week. If a man spent time on more than one jobs, the spending hours as whole on profession\/sub-profession will be written here. If a man had job but he did not work last week, the enumerator will has to enter 'NIL' in that case.\n\n7.32 Generally, exaggeration is made in telling the timing of work during the last week while the respondent is working in agriculture or doing his own business, in this case, general response is that he\/she has been working from  morning to evening. In such case the enumerator should judge the correct time spent by the respondent on his job. The time spent on eating, rest and others matters should not be included in this case (in working time).","var_val_range":[{"units":"REAL","min":"1","max":"999"}],"var_universe":"Persons age 10+ who worked last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the total number of hours the person worked last week.","var_catgry":[{"value":"1","labl":"1","stats":null,"type":null},{"value":"2","labl":"2","stats":null,"type":null},{"value":"3","labl":"3","stats":null,"type":null},{"value":"4","labl":"4","stats":null,"type":null},{"value":"5","labl":"5","stats":null,"type":null},{"value":"6","labl":"6","stats":null,"type":null},{"value":"7","labl":"7","stats":null,"type":null},{"value":"8","labl":"8","stats":null,"type":null},{"value":"9","labl":"9","stats":null,"type":null},{"value":"10","labl":"10","stats":null,"type":null},{"value":"11","labl":"11","stats":null,"type":null},{"value":"12","labl":"12","stats":null,"type":null},{"value":"13","labl":"13","stats":null,"type":null},{"value":"14","labl":"14","stats":null,"type":null},{"value":"15","labl":"15","stats":null,"type":null},{"value":"16","labl":"16","stats":null,"type":null},{"value":"17","labl":"17","stats":null,"type":null},{"value":"18","labl":"18","stats":null,"type":null},{"value":"19","labl":"19","stats":null,"type":null},{"value":"20","labl":"20","stats":null,"type":null},{"value":"21","labl":"21","stats":null,"type":null},{"value":"22","labl":"22","stats":null,"type":null},{"value":"23","labl":"23","stats":null,"type":null},{"value":"24","labl":"24","stats":null,"type":null},{"value":"25","labl":"25","stats":null,"type":null},{"value":"26","labl":"26","stats":null,"type":null},{"value":"27","labl":"27","stats":null,"type":null},{"value":"28","labl":"28","stats":null,"type":null},{"value":"29","labl":"29","stats":null,"type":null},{"value":"30","labl":"30","stats":null,"type":null},{"value":"31","labl":"31","stats":null,"type":null},{"value":"32","labl":"32","stats":null,"type":null},{"value":"33","labl":"33","stats":null,"type":null},{"value":"34","labl":"34","stats":null,"type":null},{"value":"35","labl":"35","stats":null,"type":null},{"value":"36","labl":"36","stats":null,"type":null},{"value":"37","labl":"37","stats":null,"type":null},{"value":"38","labl":"38","stats":null,"type":null},{"value":"39","labl":"39","stats":null,"type":null},{"value":"40","labl":"40","stats":null,"type":null},{"value":"41","labl":"41","stats":null,"type":null},{"value":"42","labl":"42","stats":null,"type":null},{"value":"43","labl":"43","stats":null,"type":null},{"value":"44","labl":"44","stats":null,"type":null},{"value":"45","labl":"45","stats":null,"type":null},{"value":"46","labl":"46","stats":null,"type":null},{"value":"47","labl":"47","stats":null,"type":null},{"value":"48","labl":"48","stats":null,"type":null},{"value":"49","labl":"49","stats":null,"type":null},{"value":"50","labl":"50","stats":null,"type":null},{"value":"51","labl":"51","stats":null,"type":null},{"value":"52","labl":"52","stats":null,"type":null},{"value":"53","labl":"53","stats":null,"type":null},{"value":"54","labl":"54","stats":null,"type":null},{"value":"55","labl":"55","stats":null,"type":null},{"value":"56","labl":"56","stats":null,"type":null},{"value":"57","labl":"57","stats":null,"type":null},{"value":"58","labl":"58","stats":null,"type":null},{"value":"59","labl":"59","stats":null,"type":null},{"value":"60","labl":"60","stats":null,"type":null},{"value":"61","labl":"61","stats":null,"type":null},{"value":"62","labl":"62","stats":null,"type":null},{"value":"63","labl":"63","stats":null,"type":null},{"value":"64","labl":"64","stats":null,"type":null},{"value":"65","labl":"65","stats":null,"type":null},{"value":"66","labl":"66","stats":null,"type":null},{"value":"67","labl":"67","stats":null,"type":null},{"value":"68","labl":"68","stats":null,"type":null},{"value":"69","labl":"69","stats":null,"type":null},{"value":"70","labl":"70","stats":null,"type":null},{"value":"71","labl":"71","stats":null,"type":null},{"value":"72","labl":"72","stats":null,"type":null},{"value":"73","labl":"73","stats":null,"type":null},{"value":"74","labl":"74","stats":null,"type":null},{"value":"75","labl":"75","stats":null,"type":null},{"value":"76","labl":"76","stats":null,"type":null},{"value":"77","labl":"77","stats":null,"type":null},{"value":"78","labl":"78","stats":null,"type":null},{"value":"79","labl":"79","stats":null,"type":null},{"value":"80","labl":"80","stats":null,"type":null},{"value":"81","labl":"81","stats":null,"type":null},{"value":"82","labl":"82","stats":null,"type":null},{"value":"83","labl":"83","stats":null,"type":null},{"value":"84","labl":"84","stats":null,"type":null},{"value":"85","labl":"85","stats":null,"type":null},{"value":"86","labl":"86","stats":null,"type":null},{"value":"87","labl":"87","stats":null,"type":null},{"value":"88","labl":"88","stats":null,"type":null},{"value":"89","labl":"89","stats":null,"type":null},{"value":"90","labl":"90","stats":null,"type":null},{"value":"91","labl":"91","stats":null,"type":null},{"value":"92","labl":"92","stats":null,"type":null},{"value":"93","labl":"93","stats":null,"type":null},{"value":"94","labl":"94","stats":null,"type":null},{"value":"95","labl":"95","stats":null,"type":null},{"value":"96","labl":"96","stats":null,"type":null},{"value":"97","labl":"97","stats":null,"type":null},{"value":"98","labl":"98","stats":null,"type":null},{"value":"99","labl":"99","stats":null,"type":null},{"value":"998","labl":"Unknown","stats":null,"type":null},{"value":"999","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V109","name":"pk73a_unemp","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"182","var_end_pos":"182","var_width":"1","var_rec_seg_no":"1","labl":"Reason for unemployment","var_qstn_qstnlit":"Economic characteristics\n(For persons 10 years of age and above)\n\nFor those who did not work for pay or profit last week\n[Questions 20-21.]\n\n20. Was he\/she\n\n[] 1 Able to work and looking for work (unemployed)\n[] 2 Temporarily suspended for 30 days\n[] 3 Job assured but not started\n[] 4 Unable to work\n[] 5 Others","var_qstn_ivulnstr":"7.33 This question will be asked to those persons for whom code-2 is entered in col-15, it mean that they were neither working nor had the job during last week.\n\n1 Able to work and looking for work If he\/she was able to work and looking for work\/job\n2 Temporarily suspended for 30 days If he\/she was suspended for less than 30 days on temporary basis \n3 Job assured but work not started  If he\/she has been assured the job but he did not start the work as yet, provided the interval between assurance and starting work should not be  more than 30 days.\n4 Unable to work  If he\/she is unable to work\n\n[Pg. 59]\n\n5 Others  If he\/she is not included in above four categories, rather he\/she is house wife\/husband, under education, aged, disable, pensioner, property owner, proprietor of agricultural  land and doesn't work him\/herself. Unpaid family helper who did work for  less than 15 hours and assured to get job or performing the duty honorary basis besides his family business elsewhere. Here such people will be entered who are involved in unethical or illegal occupation for instance thief, prostitute, etc.\n\nThe different terminologies that are used here, have been interpreted\/elaborated in sections 7.15 to 7.23 .","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_universe":"Persons age 10+ who did not work last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's reason for unemployment.","var_catgry":[{"value":"1","labl":"Able to work and looking for work (unemployed)","stats":null,"type":null},{"value":"2","labl":"Temporarily suspended for 30 days","stats":null,"type":null},{"value":"3","labl":"Job assured but work not started","stats":null,"type":null},{"value":"4","labl":"Unable to work (age or disability)","stats":null,"type":null},{"value":"5","labl":"Others","stats":null,"type":null},{"value":"8","labl":"Unknown","stats":null,"type":null},{"value":"9","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Work Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V110","name":"pk73a_lookwk","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"183","var_end_pos":"185","var_width":"3","var_rec_seg_no":"1","labl":"Time looking for work (months)","var_qstn_qstnlit":"Economic characteristics\n(For persons 10 years of age and above)\n\nFor those who did not work for pay or profit last week\n[Questions 20-21.]\n\n(For those who answered yes to number 1 [able to work and looking for work] in column 20 only)\n21. How long has he\/she been looking for work?\nMonths _ _","var_qstn_ivulnstr":"7.34 This question will be enquired to those people who told that they were able to work and looking for job and code 1 was entered in column 20. The man who is unemployed for days and looking for job, his total unemployment tenure will be written in months and years in column 21. This period (of unemployment) will be counted from that time when he was actually in search of a job until the date of survey. If an interval arises during the job searching period, then the latest tenure in which he has been searching for a job should be entered. For instance, [if] a man had a job for more than 14 days or stopped searching for a job and an interval is created between total periods [of unemployment], then in such case the period after the interval until the survey will be entered. It can be explained with an example that A and B are two persons who were employed in same factory and discharged themselves from the job since August 31, 1966. Thereafter they got a job on September 16, 1966 but again their jobs ended\/expired on September 26 and September 30, 1966 respectively. In such condition, the period of unemployment of B since October 1, 1966 and of A since September 1, 1966 will be counted. Because A had got the job for less than 29 days this period is not considered unemployment interval. Therefore, counting of his [A's] unemployment period will be considered since September 1, 1966 instead of September 27, 1966 (although he was unemployed on September 27, 1966).","var_val_range":[{"units":"REAL","min":"0","max":"999"}],"var_universe":"Persons age 10+ who did not work last week","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the time (in months) when the person looked for work.","var_catgry":[{"value":"0","labl":"Less than one 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Age at first marriage\nWrite the age in completed years.\n\n\nGive actual number, if none put a cross in the relevant column.\n\n_ _","var_qstn_ivulnstr":"8.2 Age at first marriage (Col 22)\n\nFor a woman who has been entered as married in Col. 6, it will generally be her first marriage, but such a situation may also come up that this marriage is the second, third or more. Similarly the women for whom \"widow\" or \"divorced\" has been entered in Col. 6, it could be after her first marriage or she might have married many times before being divorced and now she is \"widow\" or \"divorced\" but in Col. 4 the age at which she married the first time will be entered. If some woman had married more than once the ages at other marriages will not be entered.\nSince it is a touchy and sensitive question, in order to get an accurate answer the enumerators should be polite and humble in asking the question and be careful that the respondent may not get offended due to his minor mistake. The enumerator should adopt the following ways for obtaining this information.\n\nIf the marital status of a women has been shown, in Col 6, as married then the enumerator (in a proper way) should determine whether this is her only marriage and after it ask this question\n\n\n1) What was age of Mrs. X\/Y when she got married? \n\nIf the enumerator observes that the present marriage is not her first marriage then the question may be asked,\n\n\n2) What was the age of Mrs. X\/Y when she got married first? (which occurred somewhere else).\n\n\nSimilarly if the women is presently entered as widow or divorced then enumerator should try to know that whether it was her only marriage before being widowed or divorced. If it is not the case then the above mentioned question 2 may be asked. The enumerator should try to assess the accurate age which is given by the respondent. According to the existing law since 1960, a woman of less than 14 years age can not be married but sometimes the women get married at age less than fourteen years. Therefore if a [Pg. 63] woman says that she got married at age less than fourteen years then the enumerator should assess the accurate age by asking the related questions.","var_val_range":[{"units":"REAL","min":"1","max":"99"}],"var_universe":"Ever-married females","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the person's age at first 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(not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V112","name":"pk73a_chbornm","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"188","var_end_pos":"189","var_width":"2","var_rec_seg_no":"1","labl":"Total male births","var_qstn_qstnlit":"Children born \n(For ever married women only)\n\nHow many sons?\n\n23. Were ever born to you? _ _\n\n24. Are still alive? _ _","var_qstn_ivulnstr":"8.3 Children ever born\n\nCol 23. The following questions must be asked, the answer of which shall be entered in this column. \"How many (total) boys were born to Mr. X\/Y?\"\n Total boys means the boys which were born to a women during reproductive age (until the time of enumeration) the still births are not included in this question. The number which is written is this Col. will be only boys born alive irrespective of whether the boys were born during the current marriage or earlier marriages, whether they are alive at present or dead, and whether they were somewhere else at the time the entries were made.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Ever-married females","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the total male children born to the person.","var_catgry":[{"value":"0","labl":"0","stats":null,"type":null},{"value":"1","labl":"1","stats":null,"type":null},{"value":"2","labl":"2","stats":null,"type":null},{"value":"3","labl":"3","stats":null,"type":null},{"value":"4","labl":"4","stats":null,"type":null},{"value":"5","labl":"5","stats":null,"type":null},{"value":"6","labl":"6","stats":null,"type":null},{"value":"7","labl":"7","stats":null,"type":null},{"value":"8","labl":"8","stats":null,"type":null},{"value":"9","labl":"9 or more","stats":null,"type":null},{"value":"99","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V113","name":"pk73a_chsurvm","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"190","var_end_pos":"191","var_width":"2","var_rec_seg_no":"1","labl":"Living male children","var_qstn_qstnlit":"Children born \n(For ever married women only)\n\nHow many sons?\n\n23. Were ever born to you? _ _\n\n24. Are still alive? _ _","var_qstn_ivulnstr":"8.4 Number of children who are still living (Col 24)\n\nThe following questions will be asked in order to know the number of children still living. How many children, out of those born alive, are still living?\n\nThe boys still living, this will include all laps, who are either member of this household or live far away or nearby this household. The boys from the earlier marriages of women will also be included.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Ever-married females","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the total male children still alive that were born to the person.","var_catgry":[{"value":"0","labl":"0","stats":null,"type":null},{"value":"1","labl":"1","stats":null,"type":null},{"value":"2","labl":"2","stats":null,"type":null},{"value":"3","labl":"3","stats":null,"type":null},{"value":"4","labl":"4","stats":null,"type":null},{"value":"5","labl":"5","stats":null,"type":null},{"value":"6","labl":"6","stats":null,"type":null},{"value":"7","labl":"7","stats":null,"type":null},{"value":"8","labl":"8","stats":null,"type":null},{"value":"9","labl":"9 or more","stats":null,"type":null},{"value":"99","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V114","name":"pk73a_chbornf","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"192","var_end_pos":"193","var_width":"2","var_rec_seg_no":"1","labl":"Total female births","var_qstn_qstnlit":"Children born \n(For ever married women only)\n\nHow many daughters\n\n25. Were ever born to you? _ _\n\n26. Are still alive? _ _","var_qstn_ivulnstr":"8.5 How many girls were born (Col 25)\n\nThe following questions will be asked to get information in this connection. How many girl born means, all those girls which were born to the woman concerned during her reproductive age until the date of enumeration. Tthis does not include still born girls. The number written in this column will be of girls born alive. They may be from present marriage or from earlier marriages, alive or dead and they might be present or somewhere else on the date entries were made on the questionnaire.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Ever-married females","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the total number of female children born to the person.","var_catgry":[{"value":"0","labl":"0","stats":null,"type":null},{"value":"1","labl":"1","stats":null,"type":null},{"value":"2","labl":"2","stats":null,"type":null},{"value":"3","labl":"3","stats":null,"type":null},{"value":"4","labl":"4","stats":null,"type":null},{"value":"5","labl":"5","stats":null,"type":null},{"value":"6","labl":"6","stats":null,"type":null},{"value":"7","labl":"7","stats":null,"type":null},{"value":"8","labl":"8","stats":null,"type":null},{"value":"9","labl":"9 or more","stats":null,"type":null},{"value":"99","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V115","name":"pk73a_chsurvf","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"194","var_end_pos":"195","var_width":"2","var_rec_seg_no":"1","labl":"Living female children","var_qstn_qstnlit":"Children born \n(For ever married women only)\n\nHow many daughters\n\n25. Were ever born to you? _ _\n\n26. Are still alive? _ _","var_qstn_ivulnstr":"8.6 Number of girls still living (Col 26)\n\t\nThe following questions will be asked to get this number. How many girls out of total girls born to Mrs. X\/Y are still living? The girls still living will include all the girls who are members of this household or who have married and they live with their husbands somewhere else. The girls born from the earlier marriages of the women will also be included.\nThe entries in columns 23 to 26 will be made in digits. If there is no entry in any column put dash for it in the relevant column.","var_val_range":[{"units":"REAL","min":"0","max":"99"}],"var_universe":"Ever-married females","universe_clusion":"I","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"This variable indicates the total number of female children still alive that were born to the person.","var_catgry":[{"value":"0","labl":"0","stats":null,"type":null},{"value":"1","labl":"1","stats":null,"type":null},{"value":"2","labl":"2","stats":null,"type":null},{"value":"3","labl":"3","stats":null,"type":null},{"value":"4","labl":"4","stats":null,"type":null},{"value":"5","labl":"5","stats":null,"type":null},{"value":"6","labl":"6","stats":null,"type":null},{"value":"7","labl":"7","stats":null,"type":null},{"value":"8","labl":"8","stats":null,"type":null},{"value":"9","labl":"9 or more","stats":null,"type":null},{"value":"99","labl":"NIU (not in universe)","stats":null,"type":null}],"var_concept":[{"name":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":null}],"var_format":"numeric","var_format_schema":"other","fid":"F2"},{"vid":"V116","name":"pk73a_lastbir","file_id":"F2","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"196","var_end_pos":"198","var_width":"3","var_rec_seg_no":"1","labl":"Period since last baby born alive","var_qstn_qstnlit":"Children born \n(For ever married women only)\n\nPeriod since last baby born alive?\n\nWrite (in years and months) the period from the date the last live baby was born to the date of enquiry. \n\n27. Years _ _\n28. Months _ _","var_qstn_ivulnstr":"8.7 Duration since last live birth (Col 27-28)\n\nThe reason for asking the duration since occurrence of last live birth is to determine the duration spent by a married women after last live birth. This question will be asked from all the women who are married at the moment or widowed or divorced. This question will be asked in such a way.\n\n\"What is the duration since last live birth of Mrs. X\/Y?\"\n\nThis duration actually consists of the period when a last live birth boy or girl occurred to a married women and period will be counted up to the date of enumeration, irrespective of whether he [the child] is alive at the time of enumeration or not and he [the child] is living as a member of the household or living somewhere else. If after the last live birth the women became pregnant and miscarried then this period will not be counted and the duration will be counted from occurrence of last live birth. 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