DDI_PAK_1972_PHC_v01_M_v01_A_IPUMS Minnesota Population Center 2010-12-09 NADA 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. The 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. Population Census 1972 - IPUMS Subset Housing, Economic and Demographic Survey PHC 1972 (IPUMS Harmonized Subset) PAK_1972_PHC_v01_M_v01_A_IPUMS Population Census Organization Minnesota Population Center NADA IPUMS-International Population and Housing Census [hh/popcen] Version 1.0. This version contains selected variables from the original census micro data plus harmonized variables from the IPUMS International data base. Technical Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Technical Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Demographic Variables -- PERSON Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Migration Variables -- PERSON Disability Variables -- PERSON Other Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON 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. The 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. Pakistan National coverage District Household The non-institutional population. Census/enumeration data [cen] UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: No UNIT DESCRIPTIONS: - 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. - 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. - 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) . MICRODATA SOURCE: Population Census Organization SAMPLE 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. Roughly 15% of households do not have a head and appear to be fragments. *NOTE: The sample excludes 4 districts in the North-West Frontier Province: Chitral, Dir, Swat, and Malakand Agency. SAMPLE UNIT: Household SAMPLE FRACTION: 2% SAMPLE SIZE (person records): 1,453,332 Face-to-face [f2f] 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. De facto and de jure, CENSUS DAY: October 16, 1972 Direct enumeration via house-to-house visits and personal interviews. Calculated by the census office IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS-International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS-International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS-International are designed to extend this record. IPUMS International Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.0 [Machine-readable database]. Minneapolis: University of Minnesota, 2010. Researchers should also acknowledge the statistical agency that originally produced the data: Pakistan, Population Census Organization, Housing, Economic, Demographic Characteristics survey (H.E.D), 1973 The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@pop.umn.edu. Printed matter should be sent to: IPUMS-International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS-International (https://international.ipums.org/international/) under the following conditions: IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. PAK1973-H-H Household record 0 26 PAK1973-P-H Person records 0 91 Record type Record type Record type Record type Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. Technical Variables -- HOUSEHOLD IPUMS Country Country Country Country Country 32 Argentina 40 Austria 51 Armenia 68 Bolivia 76 Brazil 112 Belarus 116 Cambodia 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 218 Ecuador 250 France 275 Palestine 288 Ghana 300 Greece 324 Guinea 348 Hungary 356 India 368 Iraq 376 Israel 380 Italy 400 Jordan 404 Kenya 417 Kyrgyz Republic 458 Malaysia 466 Mali 484 Mexico 496 Mongolia 524 Nepal 528 Netherlands 586 Pakistan 591 Panama 604 Peru 608 Philippines 620 Portugal 630 Puerto Rico 642 Romania 646 Rwanda 662 Saint Lucia 686 Senegal 704 Vietnam 705 Slovenia 710 South Africa 724 Spain 756 Switzerland 764 Thailand 800 Uganda 818 Egypt 826 United Kingdom 834 Tanzania 840 United States 862 Venezuela 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). Technical Variables -- HOUSEHOLD IPUMS Year Year Year Year Year 1960 1960 1962 1962 1963 1963 1964 1964 1968 1968 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2004 2004 2005 2005 2007 2007 YEAR gives the year in which the census was taken. Technical Variables -- HOUSEHOLD IPUMS IPUMS sample identifier IPUMS sample identifier IPUMS sample identifier IPUMS sample identifier IPUMS sample identifier 321 Argentina 1970 322 Argentina 1980 323 Argentina 1991 324 Argentina 2001 401 Austria 1971 402 Austria 1981 403 Austria 1991 404 Austria 2001 511 Armenia 2001 681 Bolivia 1976 682 Bolivia 1992 683 Bolivia 2001 761 Brazil 1960 762 Brazil 1970 763 Brazil 1980 764 Brazil 1991 765 Brazil 2000 1121 Belarus 1999 1161 Cambodia 1998 1241 Canada 1971 1242 Canada 1981 1243 Canada 1991 1244 Canada 2001 1521 Chile 1960 1522 Chile 1970 1523 Chile 1982 1524 Chile 1992 1525 Chile 2002 1561 China 1982 1562 China 1990 1701 Colombia 1964 1702 Colombia 1973 1703 Colombia 1985 1704 Colombia 1993 1705 Colombia 2005 1881 Costa Rica 1963 1882 Costa Rica 1973 1883 Costa Rica 1984 1884 Costa Rica 2000 1921 Cuba 2002 2181 Ecuador 1962 2182 Ecuador 1974 2183 Ecuador 1982 2184 Ecuador 1990 2185 Ecuador 2001 2501 France 1962 2502 France 1968 2503 France 1975 2504 France 1982 2505 France 1990 2506 France 1999 2751 Palestine 1997 2881 Ghana 2000 3001 Greece 1971 3002 Greece 1981 3003 Greece 1991 3004 Greece 2001 3241 Guinea 1983 3242 Guinea 1996 3481 Hungary 1970 3482 Hungary 1980 3483 Hungary 1990 3484 Hungary 2001 3561 India 1983 3562 India 1987 3563 India 1993 3564 India 1999 3681 Iraq 1997 3761 Israel 1972 3762 Israel 1983 3763 Israel 1995 3801 Italy 2001 4001 Jordan 2004 4041 Kenya 1989 4042 Kenya 1999 4171 Kyrgyz Republic 1999 4581 Malaysia 1970 4582 Malaysia 1980 4583 Malaysia 1991 4584 Malaysia 2000 4661 Mali 1987 4662 Mali 1998 4841 Mexico 1960 4842 Mexico 1970 4843 Mexico 1990 4844 Mexico 1995 4845 Mexico 2000 4846 Mexico 2005 4961 Mongolia 1989 4962 Mongolia 2000 5241 Nepal 2001 5281 Netherlands 1960 5282 Netherlands 1971 5283 Netherlands 2001 5861 Pakistan 1973 5862 Pakistan 1981 5863 Pakistan 1998 5911 Panama 1960 5912 Panama 1970 5913 Panama 1980 5914 Panama 1990 5915 Panama 2000 6041 Peru 1993 6042 Peru 2007 6081 Philippines 1990 6082 Philippines 1995 6083 Philippines 2000 6201 Portugal 1981 6202 Portugal 1991 6203 Portugal 2001 6301 Puerto Rico 1970 6302 Puerto Rico 1980 6303 Puerto Rico 1990 6304 Puerto Rico 2000 6305 Puerto Rico 2005 6421 Romania 1977 6422 Romania 1992 6423 Romania 2002 6461 Rwanda 1991 6462 Rwanda 2002 6621 Saint Lucia 1980 6622 Saint Lucia 1991 6861 Senegal 1988 6862 Senegal 2002 7041 Vietnam 1989 7042 Vietnam 1999 7051 Slovenia 2002 7101 South Africa 1996 7102 South Africa 2001 7103 South Africa 2007 7241 Spain 1981 7242 Spain 1991 7243 Spain 2001 7561 Switzerland 1970 7562 Switzerland 1980 7563 Switzerland 1990 7564 Switzerland 2000 7641 Thailand 1970 7642 Thailand 1980 7643 Thailand 1990 7644 Thailand 2000 8001 Uganda 1991 8002 Uganda 2002 8181 Egypt 1996 8261 United Kingdom 1991 8262 United Kingdom 2001 8341 Tanzania 1988 8342 Tanzania 2002 8401 United States 1960 8402 United States 1970 8403 United States 1980 8404 United States 1990 8405 United States 2000 8406 United States 2005 8621 Venezuela 1971 8622 Venezuela 1981 8623 Venezuela 1990 8624 Venezuela 2001 SAMPLE identifies the IPUMS sample from which the case is drawn. 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. Technical Variables -- HOUSEHOLD IPUMS Household serial number Household serial number Household serial number Household serial number Household serial number [This file is just a placeholder. See the household version of the variable.] Technical Variables -- PERSON IPUMS Number of person records in the household Number of person records in the household Number of person records in the household Number of person records in the household Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. Technical Variables -- HOUSEHOLD IPUMS Household weight Household weight Household weight Household weight Household weight WTHH indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), WTHH must be used to yield accurate household-level statistics. NOTE: WTHH 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. Technical Variables -- HOUSEHOLD IPUMS Subsample number Subsample number Subsample number Subsample number Subsample number 1st 1% subsample 1 2nd 1% subsample 2 3rd 1% subsample 3 4th 1% subsample 4 5th 1% subsample 5 6th 1% subsample 6 7th 1% subsample 7 8th 1% subsample 8 9th 1% subsample 9 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. Technical Variables -- HOUSEHOLD IPUMS Group quarters status Group quarters status Group quarters status Group quarters status Group quarters status Vacant 10 Households 20 Group quarters, n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions typically retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Some of the usual information for households is often not available for group quarters and vacant units. Group Quarters Variables -- HOUSEHOLD IPUMS Number of unrelated persons Number of unrelated persons Number of unrelated persons Number of unrelated persons Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head. Group Quarters Variables -- HOUSEHOLD IPUMS Urban-rural status Urban-rural status Urban-rural status Urban-rural status Urban-rural status NIU (not in universe) 1 Rural 2 Urban 9 Unknown URBAN indicates whether the household was located in a place designated as urban or as rural. Geography Variables -- HOUSEHOLD IPUMS Continent and region of country Continent and region of country Continent and region of country Continent and region of country Continent and region of country 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe REGIONW identifies the continent and region of each country. Geography Variables -- HOUSEHOLD IPUMS Province, Pakistan Province, Pakistan Province, Pakistan Province, Pakistan Province, Pakistan 1 North-West Frontier Province 3 Punjab 4 Sindh 5 Balochistan 6 Islamabad PROVPK indicates the province in which the household resides within Pakistan. 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). NOTE: All Pakistan samples exclude the Federally Administered Tribal Areas, Northern Areas (Gilgit-Baltistan) and Kashmir. The smaller geographic units for Pakistan are divisions, DIVPK (available only in 1981 and 1998), and districts, DISTPK. Geography Variables -- HOUSEHOLD IPUMS District, Pakistan District, Pakistan District, Pakistan District, Pakistan District, Pakistan 111 Bannu 112 Lakki Marwat 121 D.I.Khan 122 Tank 131 Abbottabad 132 Batagram 133 Haripur 134 Kohistan 135 Mansehra 139 Hazara district 141 Hangu 142 Karak 143 Kohat 151 Buner 152 Chitral 154 Malakand Prote 155 Shangla 156 Swat 157 Upper Dir 158 Lower Dir 161 Mardan 162 Swabi 171 Charsadda 172 Nowshera 173 Peshawar 311 Bahawalnagar 312 Bahawalpur 313 Rahim Yar Khan 321 Dera Ghazi Khan 322 Layyah 323 Muzaffargarh 324 Rajanpur 331 Faisalabad 332 Jhang 333 Toba Tek Singh 341 Gujranwala 342 Gujrat 343 Hafizabad 344 Mandi Bahauddin 345 Narowal 346 Sialkot 351 Kasur 352 Lahore 353 Okara 354 Sheikhupura 361 Khanewal 362 Lodhran 363 Multan 364 Pakpattan 365 Sahiwal 366 Vehari 371 Attock 372 Chakwal 373 Jhelum 374 Rawalpindi 381 Bhakkar 382 Khushab 383 Mianwali 384 Sargodha 411 Badin 412 Dadu 413 Hyderabad 414 Thatta 421 Karachi Central 422 Karachi East 423 Karachi South 424 Karachi West 425 Malir 429 Karachi district 431 Jacobabad 432 Larkana 433 Shikarpur 441 Mirpur Khas 442 Sanghar 443 Tharparkar 444 Umer Kot 451 Ghotki 452 Khairpur 453 Naushahro Feroze 454 Nawabshah 455 Sukkur 511 Awaran 512 Kalat 513 Kharan 514 Khuzdar 515 Lasbela 516 Mastung 521 Gwadar 522 Kech (Turbat 1981) 523 Panjgur 529 Mekran district 531 Bolan 532 Jaffarabad 533 Jhal Magsi 534 Nasirabad 541 Chagai 542 Killa Abdullah 543 Pishin 544 Quetta 551 Dera Bugti 552 Kohlu 553 Sibi 554 Ziarat 559 Kachhi 561 Barkhan 562 Killa Saifullah 563 Loralai 564 Musakhel 565 Zhob 611 Islamabad 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). All Pakistan samples exclude the Federally Administered Tribal Areas, Northern Areas (Gilgit-Baltistan) and Kashmir. Geography Variables -- HOUSEHOLD IPUMS Household classification Household classification Household classification Household classification Household classification Vacant household 1 One-person household 2 Married/cohab couple, no children 3 Married/cohab couple with children 4 Single-parent family 5 Polygamous family 6 Extended family, relatives only 7 Composite household, family and non-relatives 8 Non-family household 9 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. Constructed Household Variables -- HOUSEHOLD IPUMS Number of families in household Number of families in household Number of families in household Number of families in household Number of families in household Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. Constructed Household Variables -- HOUSEHOLD IPUMS Number of married couples in household Number of married couples in household Number of married couples in household Number of married couples in household Number of married couples in household No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples NCOUPLS is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLS is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). Constructed Household Variables -- HOUSEHOLD IPUMS Number of mothers in household Number of mothers in household Number of mothers in household Number of mothers in household Number of mothers in household No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household NMOTHRS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHRS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). Constructed Household Variables -- HOUSEHOLD IPUMS Number of fathers in household Number of fathers in household Number of fathers in household Number of fathers in household Number of fathers in household NFATHRS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHRS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). Constructed Household Variables -- HOUSEHOLD IPUMS Head's location in household Head's location in household Head's location in household Head's location in household Head's location in household HEADLOC gives the person number of the head of household in samples in which persons are organized into households. Constructed Household Variables -- HOUSEHOLD IPUMS Dwelling number Dwelling number Dwelling number Dwelling number Dwelling number Dwelling number All households This variable indicates the dwelling number. Technical Variables -- HOUSEHOLD IPUMS Number of persons in household Number of persons in household Number of persons in household Number of persons in household Number of persons in household Number of persons in household All households 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 40 40 This variable indicates the number of persons in the household. Technical Variables -- HOUSEHOLD IPUMS Province Province Province Province Province Province All households 1 North-West Frontier Province 2 Punjab 3 Sind 4 Baluchistan This variable indicates the province where the dwelling is located. Geography Variables -- HOUSEHOLD IPUMS District District District District District District All households 1 Chitral 2 Dir 3 Swat 4 Malakand Agency 5 Hazara 6 Mardan 7 Peshawar 10 Kohat 14 D.I. Khan 15 Bannu 18 Campbellpur 19 Federal Capital Islamabad and Rawalpindi 23 Jhelum 24 Gujrat 26 Sargodha 28 Mianwalai 29 Lyallpur 31 Jhang 32 Lahore 35 Gujranwala 37 Sheikhupura 38 Sialkot 41 D.G. Khan 42 Muzaffargarh 43 Multan 46 Sahiwal 47 Bahalpur 48 Bahawalnagar 49 Rahimyar Khan 50 Jacobabad 51 Sukkur 53 Larkana 54 Nawabshah 55 Khairpur 56 Hyderabad 58 Dadu 59 Tharparkar 60 Sanghar 61 Thatta 62 Karachi 67 Quetta 70 Sibi 72 Loralai 73 Zhob 74 Chagai 75 Kalat 76 Kachhi 77 Kharan 78 Mekran 81 Lasbella This variable indicates the geographic district where the dwelling is located. Geography Variables -- HOUSEHOLD IPUMS Urban Urban Urban Urban Urban Urban All households 1 Rural 2 Urban population less than 10000 3 Urban population 10000-25000 4 Urban population 25000-50000 5 Urban population 50000-100000 6 Urban population 100000 and above This variable indicates whether the dwelling is in an urban or rural area. Geography Variables -- HOUSEHOLD IPUMS Household weight Household weight Household weight Household weight Household weight Household weight All households This variable indicates the household weight. Technical Variables -- HOUSEHOLD IPUMS Record type [person version] Record type [person version] Record type [person version] Record type [person version] Record type [person version] [This file is just a placeholder. See the household version of the variable.] Technical Variables -- PERSON IPUMS Country [person version] Country [person version] Country [person version] Country [person version] Country [person version] [This file is just a placeholder. See the household version of the variable.] Technical Variables -- PERSON IPUMS Year [person version] Year [person version] Year [person version] Year [person version] Year [person version] [This file is just a placeholder. See the household version of the variable.] Technical Variables -- PERSON IPUMS IPUMS sample identifier [person version] IPUMS sample identifier [person version] IPUMS sample identifier [person version] IPUMS sample identifier [person version] IPUMS sample identifier [person version] [This file is just a placeholder. See the household version of the variable.] Technical Variables -- PERSON IPUMS Household serial number [person version] Household serial number [person version] Household serial number [person version] Household serial number [person version] Household serial number [person version] [This file is just a placeholder. See the household version of the variable.] Technical Variables -- PERSON IPUMS Person number Person number Person number Person number Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. Technical Variables -- PERSON IPUMS Person weight Person weight Person weight Person weight Person weight WTPER indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), WTPER must be used to yield accurate statistics for the population. NOTE: 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. Technical Variables -- PERSON IPUMS Mother's location in household Mother's location in household Mother's location in household Mother's location in household Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. Constructed Family Interrelationship Variables -- PERSON IPUMS Father's location in household Father's location in household Father's location in household Father's location in household Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. Constructed Family Interrelationship Variables -- PERSON IPUMS Spouse's location in household Spouse's location in household Spouse's location in household Spouse's location in household Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking parent Rule for linking parent Rule for linking parent Rule for linking parent Rule for linking parent No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The general design of PARRULE and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. Constructed Family Interrelationship Variables -- PERSON IPUMS Rule for linking spouse Rule for linking spouse Rule for linking spouse Rule for linking spouse Rule for linking spouse No spouse present 1 Rule 1: strong relationship pairing, couple adjacent 2 Rule 2: strong relationship pairing, couple not adjacent 3 Rule 3: weak relationship pairing, couple adjacent 4 Rule 4: weak relationship pairing, couple not adjacent 5 Rule 5: weak consensual union pairings 6 Rule 6: sample-specific rules (usually child-to-child) SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The general design of SPRULE and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. Constructed Family Interrelationship Variables -- PERSON IPUMS Probable stepmother Probable stepmother Probable stepmother Probable stepmother Probable stepmother Biological mother or no mother present 1 Mother has no children borne or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children borne or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. See PARRULE for a description of the linking process. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. Constructed Family Interrelationship Variables -- PERSON IPUMS Probable stepfather Probable stepfather Probable stepfather Probable stepfather Probable stepfather Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible STEPPOP indicates whether a person's father, as identified by POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner). 3 = Age difference between father and child was less than 12 or greater than 54 years. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. Constructed Family Interrelationship Variables -- PERSON IPUMS Man with more than one wife linked Man with more than one wife linked Man with more than one wife linked Man with more than one wife linked Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. Constructed Family Interrelationship Variables -- PERSON IPUMS Woman is second or higher order wife Woman is second or higher order wife Woman is second or higher order wife Woman is second or higher order wife Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. Constructed Family Interrelationship Variables -- PERSON IPUMS Family unit membership Family unit membership Family unit membership Family unit membership Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own family members in household Number of own family members in household Number of own family members in household Number of own family members in household Number of own family members in household 1 1 family member present 2 2 family members present 3 3 family members present 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 or more persons FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit 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). Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own children in household Number of own children in household Number of own children in household Number of own children in household Number of own children in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household Number of own children under age 5 in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more own children under age 5 in household NCHILD provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. Constructed Family Interrelationship Variables -- PERSON IPUMS Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household Age of eldest own child in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 99 No own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. Constructed Family Interrelationship Variables -- PERSON IPUMS Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household Age of youngest own child in household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 99 No own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. Constructed Family Interrelationship Variables -- PERSON IPUMS Relationship to household head [general version] Relationship to household head [general version] Relationship to household head [general version] Relationship to household head [general version] Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). Demographic Variables -- PERSON IPUMS Relationship to household head [detailed version] Relationship to household head [detailed version] Relationship to household head [detailed version] Relationship to household head [detailed version] Relationship to household head [detailed version] 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling of sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). Demographic Variables -- PERSON IPUMS Age Age Age Age Age Less than 1 year 1 1 year 2 2 years 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100+ 999 Not reported/missing AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. Demographic Variables -- PERSON IPUMS Age, grouped into intervals Age, grouped into intervals Age, grouped into intervals Age, grouped into intervals Age, grouped into intervals 1 0 to 4 2 5 to 9 3 10 to 14 4 15 to 19 5 15 to 17 6 18 to 19 7 18 to 24 8 20 to 24 9 25 to 29 10 30 to 34 11 35 to 39 12 40 to 44 13 45 to 49 14 50 to 54 15 55 to 59 16 60 to 64 17 65 to 69 18 70 to 74 19 75 to 79 20 80+ 99 Unknown AGE2 gives computed years of age grouped into intervals. Demographic Variables -- PERSON IPUMS Sex Sex Sex Sex Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. Demographic Variables -- PERSON IPUMS Marital status [general version] Marital status [general version] Marital status [general version] Marital status [general version] Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. Demographic Variables -- PERSON IPUMS Marital status [detailed version] Marital status [detailed version] Marital status [detailed version] Marital status [detailed version] Marital status [detailed version] NIU (not in universe) 100 Single/never married 110 Engaged 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 340 Annulled 350 Divorced 360 Married, spouse absent 400 Widowed 410 Widowed or divorced 420 Widowed, divorced, or separated 999 Unknown/missing MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. Demographic Variables -- PERSON IPUMS Age at first marriage Age at first marriage Age at first marriage Age at first marriage Age at first marriage NIU (not in universe) 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 Unknown AGEMARR indicates the person's age at first marriage. Demographic Variables -- PERSON IPUMS Children ever born Children ever born Children ever born Children ever born Children ever born No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHBORN reports the number of children ever born to each woman of whom the question was asked. Women were to report all live births by all fathers, whether or not the child was still living. Fertility and Mortality Variables -- PERSON IPUMS Children surviving Children surviving Children surviving Children surviving Children surviving No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHSURV reports the number of children born to a woman who were still living at the time of the census. Fertility and Mortality Variables -- PERSON IPUMS Number of female children ever born Number of female children ever born Number of female children ever born Number of female children ever born Number of female children ever born No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. Fertility and Mortality Variables -- PERSON IPUMS Number of male children ever born Number of male children ever born Number of male children ever born Number of male children ever born Number of male children ever born No children 1 1 child 2 2 children 3 3 children 4 4 children 5 5 children 6 6 children 7 7 children 8 8 children 9 9 children 10 10 children 11 11 children 12 12 children 13 13 children 14 14 children 15 15 children 16 16 children 17 17 children 18 18 children 19 19 children 20 20 children 21 21 children 22 22 children 23 23 children 24 24 children 25 25 children 26 26 children 27 27 children 28 28 children 29 29 children 30 30 children 31 31 children 32 32 children 33 33 children 34 34 children 98 Unknown 99 NIU (not in universe) CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. Fertility and Mortality Variables -- PERSON IPUMS Number of female children surviving Number of female children surviving Number of female children surviving Number of female children surviving Number of female children surviving No children 1 1 child 2 2 children 3 3 children 4 4 children 5 5 children 6 6 children 7 7 children 8 8 children 9 9 children 10 10 children 11 11 children 12 12 children 13 13 children 14 14 children 15 15 children 16 16 children 17 17 children 18 18 children 19 19 children 20 20 children 21 21 children 98 Unknown 99 NIU (not in universe) CHSURVF indicates the number of female children ever born to a woman who were still living at the time of the census. Fertility and Mortality Variables -- PERSON IPUMS Number of male children surviving Number of male children surviving Number of male children surviving Number of male children surviving Number of male children surviving No children 1 1 child 2 2 children 3 3 children 4 4 children 5 5 children 6 6 children 7 7 children 8 8 children 9 9 children 10 10 children 11 11 children 12 12 children 13 13 children 14 14 children 15 15 children 16 16 children 17 17 children 18 18 children 19 19 children 20 20 children 21 21 children 22 22 children 23 23 children 98 Unknown 99 NIU (not in universe) CHSURVM indicates the number of male children ever born to a woman who were still living at the time of the census. Fertility and Mortality Variables -- PERSON IPUMS Nativity status Nativity status Nativity status Nativity status Nativity status NIU (not universe) 1 Native-born 2 Foreign-born 9 Unknown/missing NATIVTY indicates whether the person was native- or foreign-born. Nativity and Birthplace Variables -- PERSON IPUMS Country of birth Country of birth Country of birth Country of birth Country of birth NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 Uganda 11160 Tanzania 11170 Zambia 11180 Zimbabwe 11990 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12990 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14990 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15990 West Africa, n.s. 19990 Africa, other and n.s. 19991 Central and South Africa 19992 East and Central Africa 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St Croix 21210 St John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21990 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22990 Central America, n.s. 22991 Central America and Caribbean 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, other and n.s. 23991 South America or Central America, n.s. 23992 Central/South America and Caribbean 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24990 North America, other and n.s. 24991 North America/Oceania 29990 Americas, other and n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31990 Eastern Asia, n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33990 South-Eastern Asia, n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestinian Territories 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34990 Western Asia, n.s. 34991 Middle East 39990 Asia, other and n.s. 39991 Central Asia and Middle East, n.s. 39992 Far East, n.s. 39993 Eastern/Southeast Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41990 Eastern Europe, other and n.s. 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42990 Northern Europe, n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovian 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43990 Southern Europe, n.s. 43991 Gibraltar/Malta 43992 Portugal/Greece 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44030 France 44040 Germany 44041 Germany/Austria 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44990 Western Europe, n.s. 44991 Belgium, Denmark, Luxembourg, Netherlands 49990 Europe, other and n.s. 49991 Turkey and U.S.S.R. 49992 European Union 15 49993 Countries newly added to European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53990 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54990 Polynesia, n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55990 Other US Pacific 59990 Oceania, n.s. 60000 OTHER ABROAD 60100 U.S. Outlying Areas and Territories 60200 Africa/Other 60300 Central/South America or Africa 60400 Asia/Africa 60500 Europe, Australia, New Zealand 69900 Other countries, not specified 99999 Unknown BPLCTRY indicates the person's country of birth. Nativity and Birthplace Variables -- PERSON IPUMS District of birth, Pakistan District of birth, Pakistan District of birth, Pakistan District of birth, Pakistan District of birth, Pakistan 111 Bannu 121 D.I. Khan 139 Hazara 143 Kohat 152 Chitral 154 Malakand Agency 156 Swat 158 Dir 161 Mardan 173 Peshawar 311 Bahawalnagar 312 Bahalpur 313 Rahimyar Khan 321 D.G. Khan 323 Muzaffargarh 331 Lyallpur 332 Jhang 341 Gujranwala 342 Gujrat 346 Sialkot 352 Lahore 354 Sheikhupura 363 Multan 365 Sahiwal 371 Campbellpur 373 Jhelum 383 Mianwalai 384 Sargodha 412 Dadu 413 Hyderabad 414 Thatta 429 Karachi 431 Jacobabad 432 Larkana 442 Sanghar 443 Tharparkar 452 Khairpur 454 Nawabshah 455 Sukkur 512 Kalat 513 Kharan 515 Lasbella 529 Mekran 541 Chagai 544 Quetta 553 Sibi 559 Kachhi 563 Loralai 565 Zhob 611 Islamabad and Rawalpindi 901 Fata Tribal area under DC (Peshawar, Kohat, D.I. Khan, Bannu), Mohammad agency, Khyber agency, Kurram agency, North Wazirsitan, South Waziristan 902 Muzaffarabad, Poonch, Mirpur, Gilgit agency, Baltistan agency 903 Occupied Kashmir 990 Foreign country 999 Unknown BPLPK indicates the person's district of birth within Pakistan. East Pakistan is coded as a foreign country. NOTE: The Pakistan 1973 sample includes respondents whose districts of birth are in the Federally Administered Tribal Areas and the two autonomous states, Northern areas (Gilgit-Baltistan) and Kashmir. The actual residents of those areas are not included in the sample. Nativity and Birthplace Variables -- PERSON IPUMS School attendance School attendance School attendance School attendance School attendance NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. Education Variables -- PERSON IPUMS Literacy Literacy Literacy Literacy Literacy NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. Education Variables -- PERSON IPUMS Educational attainment, international recode [general version] Educational attainment, international recode [general version] Educational attainment, international recode [general version] Educational attainment, international recode [general version] Educational attainment, international recode [general version] NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown EDATTAN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAN 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). Many 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. Education Variables -- PERSON IPUMS Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] Educational attainment, international recode [detailed version] NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing EDATTAN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAN 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). Many 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. Education Variables -- PERSON IPUMS Educational attainment, Pakistan Educational attainment, Pakistan Educational attainment, Pakistan Educational attainment, Pakistan Educational attainment, Pakistan NIU (not in universe) 100 None 200 Primary 210 Less than primary 220 Primary 230 Middle 300 Secondary 310 Matric 320 Intermediate 400 Tertiary 410 Bachelors degree 420 Post-graduate 421 MA / MSCc and above 422 Bsc and above (engineering) 423 MBBS / BDS and above 424 LLB and above 430 Diploma or certificate 431 Diploma 432 Certificate 500 Others 999 Unknown EDUCPK indicates the person's educational attainment in terms of the level of schooling completed. Education Variables -- PERSON IPUMS Employment status [general version] Employment status [general version] Employment status [general version] Employment status [general version] Employment status [general version] NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status." Work Variables -- PERSON IPUMS Employment status [detailed version] Employment status [detailed version] Employment status [detailed version] Employment status [detailed version] Employment status [detailed version] NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and 'other' 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked less than 6 months, permanent job 203 Worked less than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 310 Housework 320 Unable to work/disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittant worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 999 Unknown/missing EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status." Work Variables -- PERSON IPUMS Occupation, ISCO Occupation, ISCO Occupation, ISCO Occupation, ISCO Occupation, ISCO 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales 6 Skilled agricultural and fishery workers 7 Crafts and related trades workers 8 Plant and machine operators and assemblers 9 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) 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. Work Variables -- PERSON IPUMS Occupation, unrecoded Occupation, unrecoded Occupation, unrecoded Occupation, unrecoded Occupation, unrecoded OCC records the person's primary occupation classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person had spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. Work Variables -- PERSON IPUMS Industry, general recode Industry, general recode Industry, general recode Industry, general recode Industry, general recode NIU (not in universe) 10 Agriculture, fishing, and forestry 20 Mining 30 Manufacturing 40 Electricity, gas and water 50 Construction 60 Wholesale and retail trade 70 Hotels and restaurants 80 Transportation and communications 90 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Real estate and business services 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The third digit retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. Work Variables -- PERSON IPUMS Industry, unrecoded Industry, unrecoded Industry, unrecoded Industry, unrecoded Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time and is not recoded by IPUMS-International. Work Variables -- PERSON IPUMS Class of worker [general version] Class of worker [general version] Class of worker [general version] Class of worker [general version] Class of worker [general version] NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. In other sources, class of worker is sometimes referred to as "status in employment." Work Variables -- PERSON IPUMS Class of worker [detailed version] Class of worker [detailed version] Class of worker [detailed version] Class of worker [detailed version] Class of worker [detailed version] NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White and blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, with an occasional or temporary job 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit 214 White collar 215 Blue collar 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 400 Other 999 Unknown/missing CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. In other sources, class of worker is sometimes referred to as "status in employment." Work Variables -- PERSON IPUMS Hours worked per week Hours worked per week Hours worked per week Hours worked per week Hours worked per week 0 hours 1 1 hour 2 2 hours 3 3 hours 4 4 hours 5 5 hours 6 6 hours 7 7 hours 8 8 hours 9 9 hours 10 10 hours 11 11 hours 12 12 hours 13 13 hours 14 14 hours 15 15 hours 16 16 hours 17 17 hours 18 18 hours 19 19 hours 20 20 hours 21 21 hours 22 22 hours 23 23 hours 24 24 hours 25 25 hours 26 26 hours 27 27 hours 28 28 hours 29 29 hours 30 30 hours 31 31 hours 32 32 hours 33 33 hours 34 34 hours 35 35 hours 36 36 hours 37 37 hours 38 38 hours 39 39 hours 40 40 hours 41 41 hours 42 42 hours 43 43 hours 44 44 hours 45 45 hours 46 46 hours 47 47 hours 48 48 hours 49 49 hours 50 50 hours 51 51 hours 52 52 hours 53 53 hours 54 54 hours 55 55 hours 56 56 hours 57 57 hours 58 58 hours 59 59 hours 60 60 hours 61 61 hours 62 62 hours 63 63 hours 64 64 hours 65 65 hours 66 66 hours 67 67 hours 68 68 hours 69 69 hours 70 70 hours 71 71 hours 72 72 hours 73 73 hours 74 74 hours 75 75 hours 76 76 hours 77 77 hours 78 78 hours 79 79 hours 80 80 hours 81 81 hours 82 82 hours 83 83 hours 84 84 hours 85 85 hours 86 86 hours 87 87 hours 88 88 hours 89 89 hours 90 90 hours 91 91 hours 92 92 hours 93 93 hours 94 94 hours 95 95 hours 96 96 hours 97 97 hours 98 98 hours 99 99 hours 100 100 hours 101 101 hours 102 102 hours 103 103 hours 104 104 hours 105 105 hours 106 106 hours 107 107 hours 108 108 hours 109 109 hours 110 110 hours 111 111 hours 112 112 hours 113 113 hours 114 114 hours 115 115 hours 116 116 hours 117 117 hours 118 118 hours 119 119 hours 120 120 hours 121 121 hours 122 122 hours 123 123 hours 124 124 hours 125 125 hours 126 126 hours 127 127 hours 128 128 hours 129 129 hours 130 130 hours 131 131 hours 132 132 hours 133 133 hours 134 134 hours 135 135 hours 136 136 hours 137 137 hours 138 138 hours 139 139 hours 140 140+ hours 998 Unknown 999 NIU (not in universe) HRSWRK1 indicates the number of hours the respondent worked per week at all jobs. Work Variables -- PERSON IPUMS Hours worked per week, categorized Hours worked per week, categorized Hours worked per week, categorized Hours worked per week, categorized Hours worked per week, categorized None 1 1 to 14 hours 2 15 to 29 hours (except VE 71) 3 30 to 39 hours (except VE 71) 4 40-48 hours (except IL 72) 5 49 hours or more (except IL 72) 8 Unknown 9 NIU (not in universe) HRSWRK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals. Work Variables -- PERSON IPUMS Period seeking work Period seeking work Period seeking work Period seeking work Period seeking work NIU (not in universe) 10 Seeking work less than one year 11 Seeking work less than 3 months 12 Seeking work 3 to 12 months 13 Seeking work 3 to 6 months 14 Seeking work 6 to 12 months 20 Seeking work more than 1 year 21 Seeking work 1 to 2 years 22 Seeking work more than 2 years 90 Seeking work, unspecified period 99 Unknown LOOKJOB indicates the continuous period of time that an unemployed person has been seeking work. Work Variables -- PERSON IPUMS District of residence 8 years ago, Pakistan District of residence 8 years ago, Pakistan District of residence 8 years ago, Pakistan District of residence 8 years ago, Pakistan District of residence 8 years ago, Pakistan NIU (not in universe) 111 Bannu 121 D.I.Khan 139 Hazara district 143 Kohat 152 Chitral 154 Malakand Prote 156 Swat 158 Lower Dir 161 Mardan 173 Peshawar 311 Bahawalnagar 312 Bahawalpur 313 Rahim Yar Khan 321 Dera Ghazi Khan 323 Muzaffargarh 331 Faisalabad 332 Jhang 341 Gujranwala 342 Gujrat 346 Sialkot 352 Lahore 354 Sheikhupura 363 Multan 365 Sahiwal 371 Attock 373 Jhelum 383 Mianwali 384 Sargodha 412 Dadu 413 Hyderabad 414 Thatta 429 Karachi district 431 Jacobabad 432 Larkana 442 Sanghar 443 Tharparkar 452 Khairpur 454 Nawabshah 455 Sukkur 512 Kalat 513 Kharan 515 Lasbela 529 Mekran district 541 Chagai 542 Killa Abdullah 543 Pishin 544 Quetta 553 Sibi 559 Kachhi 563 Loralai 565 Zhob 611 Islamabad 901 Fata Tribal area under DC (Peshawar, Kohat, D.I. Khan, Bannu), Malakand agency, Mohammad agency, Khyber agency, Kurram agency, North Wazirsitan, South Waziristan 902 Muzaffarabad, Poonch, Mirpur, Gilgit agency, Baltistan agency 903 Occupied Kashmir 990 Abroad 999 Unknown MIGPK indicates the person's district of residence within Pakistan in September 1965 (eight calendar years before the census). NOTE: The variable includes categories for disputed regions. East Pakistan, which was part of Pakistan at the time of migration, but was the independent country of Bangladesh at the time of the census is coded as "Abroad" in this integrated version of the variable. Consult the source variable (PK73A429) for further detail. Migration Variables -- PERSON IPUMS Years residing in current locality Years residing in current locality Years residing in current locality Years residing in current locality Years residing in current locality Less than 1 year 1 1 year (or 1 year or less) 2 2 years 3 3 years 4 4 years 5 5 years 6 6 years 7 7 years 8 8 years 9 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years 19 19 years 20 20 years 21 21 years 22 22 years 23 23 years 24 24 years 25 25 years 26 26 years 27 27 years 28 28 years 29 29 years 30 30 years 31 31 years 32 32 years 33 33 years 34 34 years 35 35 years 36 36 years 37 37 years 38 38 years 39 39 years 40 40 years 41 41 years 42 42 years 43 43 years 44 44 years 45 45 years 46 46 years 47 47 years 48 48 years 49 49 years 50 50 years 51 51 years 52 52 years 53 53 years 54 54 years 55 55 years 56 56 years 57 57 years 58 58 years 59 59 years 60 60 years 61 61 years 62 62 years 63 63 years 64 64 years 65 65 years 66 66 years 67 67 years 68 68 years 69 69 years 70 70 years 71 71 years 72 72 years 73 73 years 74 74 years 75 75 years 76 76 years 77 77 years 78 78 years 79 79 years 80 80 years 81 81 years 82 82 years 83 83 years 84 84 years 85 85 years 86 86 years 87 87 years 88 88 years 89 89 years 90 90 years 91 91 years 92 92 years 93 93 years 94 94 years 95 95+ 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) MGYRS1 indicates how many years the person has resided in their current locality of residence. Migration Variables -- PERSON IPUMS Disability status Disability status Disability status Disability status Disability status NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown DISABLE indicates whether the person reported a disability of any kind. Disability Variables -- PERSON IPUMS Blind or vision-impaired Blind or vision-impaired Blind or vision-impaired Blind or vision-impaired Blind or vision-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISBLND indicates whether the person was blind or had limited vision. Disability Variables -- PERSON IPUMS Deaf or hearing-impaired Deaf or hearing-impaired Deaf or hearing-impaired Deaf or hearing-impaired Deaf or hearing-impaired NIU (not in universe) 1 Yes 2 No 9 Unknown DISDEAF indicates whether the person was deaf or had limited hearing. Disability Variables -- PERSON IPUMS Mute Mute Mute Mute Mute NIU (not in universe) 1 Yes 2 No 9 Unknown DISMUTE indicates if the person could not speak or had a significant speech impediment. Disability Variables -- PERSON IPUMS Person number (within household) Person number (within household) Person number (within household) Person number (within household) Person number (within household) Person number (within household) All persons Household record 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 This variable indicates the person number (within the household). Technical Variables -- PERSON IPUMS Mother/child code Mother/child code Mother/child code Mother/child code Mother/child code Mother/child code All persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 99 Unknown This variable indicates the mother/child code. Other Variables -- PERSON IPUMS Relationship Relationship Relationship Relationship Relationship 3. Relationship to the head of household Write relationship of each person listed to the head of household ____ 4.5 Relationship to the head of household (Column-3) Actually 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. The 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). For example wife, husband, son, daughter, daughter in-law, sister/brother in law, nieces, grandson, friends, servant, guests and other residents, etc.) All persons 1 Head 2 Spouse 3 Child 4 Child-in-law 5 Parent or parent-in-law 6 Sibling, sibling-in-law, and their spouses 7 Grandchild 8 Other relatives 9 Servants 10 Other 99 Unknown This variable indicates the person's relationship to the household head. Demographic Variables -- PERSON IPUMS Sex Sex Sex Sex Sex 4. Sex [] 1 Male [] 2 Female 4.6 Sex (Column-4) Write 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. All persons 1 Male 2 Female This variable indicates the person's gender. Demographic Variables -- PERSON IPUMS Age Age Age Age Age 5. Age (in completed years) _ _ 4.7 Age (Column-5) The 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. For 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. All persons Less than one year 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 or older This variable indicates the person's age in completed years. Demographic Variables -- PERSON IPUMS Marital status Marital status Marital status Marital status Marital status 6. Marital status [] 1 Never married [] 2 Married [] 3 Widowed [] 4 Divorced 4.8 Marital status (Col-No.6) (Persons of ten years age or above) The 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. All persons 1 Never married 2 Married 3 Widowed 4 Divorced This variable indicates the person's marital status. Demographic Variables -- PERSON IPUMS Disability Disability Disability Disability Disability 7. Disability [] 1 Blind [] 2 Deaf and dumb [] 3 Crippled [] 4 Other handicapped 4.9 Disability (Column-7) The following questions of column-7 related to every person of household will be asked. a. Does any person in the household (By entered names) suffer from any type of disability? If the answer is 'Yes' then ask b. Which type of disability? Enter the relevant code of disability. Codes of disabilities are given below. 1 - Blind 2 - Deaf and dumb 3 - Crippled 4 - Others, the disability other than above mentioned disabilities 5 - None (If not find in above category [Pg. 31] Different 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. Disability 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. According to the report of H.E.D., the disability has been divided into four categories. 1. Blindness A 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. 2. Deaf and dumb A 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. 3. Crippled A person who is not able to use/move one or both hands, one or both legs permanently will be known as Crippled/lame 4. Other handicapped First 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 All persons 1 Blind 2 Deaf and/or mute 3 Crippled 4 Other 5 None This variable indicates the person's disability status. Disability Variables -- PERSON IPUMS Place of birth (district) Place of birth (district) Place of birth (district) Place of birth (district) Place of birth (district) Internal migration [Questions 8-10.] 8. Birth place (district/country) Write the name of district in which the person was born. Give name of the country, if born outside Pakistan. ____ 5.2 Place of birth. (District, Country) (Col 8) This 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. Place 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.). All persons 1 Chitral 2 Dir 3 Swat 4 Malakand Agency 5 Hazara 6 Mardan 7 Peshawar 10 Kohat 14 D.I. Khan 15 Bannu 18 Campbellpur 19 Federal Capital Islamabad and Rawalpindi 23 Jhelum 24 Gujrat 26 Sargodha 28 Mianwalai 29 Lyallpur 31 Jhang 32 Lahore 35 Gujranwala 37 Sheikhupura 38 Sialkot 41 D.G. Khan 42 Muzaffargarh 43 Multan 46 Sahiwal 47 Bahalpur 48 Bahawalnagar 49 Rahimyar Khan 50 Jacobabad 51 Sukkur 53 Larkana 54 Nawabshah 55 Khairpur 56 Hyderabad 58 Dadu 59 Tharparkar 60 Sanghar 61 Thatta 62 Karachi 67 Quetta 70 Sibi 72 Loralai 73 Zhob 74 Chagai 75 Kalat 76 Kachhi 77 Kharan 78 Mekran 81 Lasbella 91 Fata Tribal area under DC (Peshawar, Kohat, D.I. Khan, Bannu), Malakand agency, Mohammad agency, Khyber agency, Kurram agency, North Wazirsitan, South Waziristan 92 Muzaffarabad, Poonch, Mirpur, Gilgit agency, Baltistan agency 93 Occupied Kashmir 94 East Pakistan 95 India 96 Afghanistan 97 Rest of the world 99 Unknown This variable indicates the person's district of birth. Nativity and Birthplace Variables -- PERSON IPUMS Duration of continuous residence Duration of continuous residence Duration of continuous residence Duration of continuous residence Duration of continuous residence Internal migration [Questions 8-10.] 9. Duration of continuous residence in this locality (write duration in completed years) ____ 5.3 Duration of continuous residence in this locality. (Sample area Col. 9) The 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. All persons Less than one year 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 years and more This variable indicates the person's duration of continuous residence in the present locality (village, town or city). Migration Variables -- PERSON IPUMS Residence in 1965 (district) Residence in 1965 (district) Residence in 1965 (district) Residence in 1965 (district) Residence in 1965 (district) Internal migration [Questions 8-10.] 10. 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. ____ 5.4 Place of residence at the time of Indian attack on Pakistan in September, 1965 Ask the question (by entered name) of where was his usual residence when India attacked Pakistan in September, 1965? Usual 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 [Pg. 35] Multan 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. If 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. Persons age 8+ 1 Chitral 2 Dir 3 Swat 4 Malakand Agency 5 Hazara 6 Mardan 7 Peshawar 10 Kohat 14 D.I. Khan 15 Bannu 18 Campbellpur 19 Federal Capital Islamabad and Rawalpindi 23 Jhelum 24 Gujrat 26 Sargodha 28 Mianwalai 29 Lyallpur 31 Jhang 32 Lahore 35 Gujranwala 37 Sheikhupura 38 Sialkot 41 D.G. Khan 42 Muzaffargarh 43 Multan 46 Sahiwal 47 Bahalpur 48 Bahawalnagar 49 Rahimyar Khan 50 Jacobabad 51 Sukkur 53 Larkana 54 Nawabshah 55 Khairpur 56 Hyderabad 58 Dadu 59 Tharparkar 60 Sanghar 61 Thatta 62 Karachi 67 Quetta 70 Sibi 72 Loralai 73 Zhob 74 Chagai 75 Kalat 76 Kachhi 77 Kharan 78 Mekran 81 Lasbella 91 Fata Tribal area under DC (Peshawar, Kohat, D.I. Khan, Bannu), Malakand agency, Mohammad agency, Khyber agency, Kurram agency, North Wazirsitan, South Waziristan 92 Muzaffarabad, Poonch, Mirpur, Gilgit agency, Baltistan agency 93 Occupied Kashmir 94 East Pakistan 95 India 96 Afghanistan 97 Rest of the world 98 Unknown 99 NIU (not in universe) This variable indicates the person's district of residence in September 1965, when the Indo-Pakistani War of 1965 started. Migration Variables -- PERSON IPUMS Residence in urban or rural area in 1965 Residence in urban or rural area in 1965 Residence in urban or rural area in 1965 Residence in urban or rural area in 1965 Residence in urban or rural area in 1965 Internal migration [Questions 8-10.] 10. 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. ____ 5.4 Place of residence at the time of Indian attack on Pakistan in September, 1965 Ask the question (by entered name) of where was his usual residence when India attacked Pakistan in September, 1965? Usual 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 [Pg. 35] Multan 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. If 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. Persons age 8+ 1 Urban 2 Rural 8 Unknown 9 NIU (not in universe) 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. Migration Variables -- PERSON IPUMS Literacy Literacy Literacy Literacy Literacy Educational characteristics (For persons 5 years of age and above) [Questions 11-14.] 11. Literacy [] 1 Literate with formal education [] 2 Literate without formal education [] 3 Illiterate 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. Persons age 5+ 1 Literate, with education 2 Literate, no education 3 Illiterate 9 NIU (not in universe) 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. Education Variables -- PERSON IPUMS School attendance School attendance School attendance School attendance School attendance Educational characteristics (For persons 5 years of age and above) [Questions 11-14.] 12. School attendance [] 1 Attending general [] 2 Attending specialized [] 3 Attending Madrassah [] 4 Left school [] 5 Not attended any school 6.3 School or college attendance (Code 12) To 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. 1. Ask (by entered name) whether the person is going to school or college. If the answer to Question number 1 [whether attending school or college] is yes then enquire, 2. Which type of the school or college (ask by entered name) is the person attending? a) General b) Specialized c) Eastern type Madarsah [Pg. 37] The 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. If the answer to Question Number 1 [whether attending school or college] is 'No' then ask the following questions. 3. Whether (ask by enter name) has left the school or college. If the answer is 'yes' then code No. 4 will be written against the name of this person. If the answer of this question [whether the person has left school or college] is also 'No' then ask next question. 4. Did (ask by entered name) never go to school or college for education? 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. If someone gives an answer as "No" then ask the initial three questions again to get correct information. Persons age 5+ 1 Attending general 2 Attending specialized 3 Attending Madrassah 4 Left school 5 Did not attend any school 8 Unknown 9 NIU (not in universe) This variable indicates whether the person attends school. Education Variables -- PERSON IPUMS Level of education Level of education Level of education Level of education Level of education Educational characteristics (For persons 5 years of age and above) [Questions 11-14.] 13. Highest grade/level passed in general or specialized or Madrassah education Write highest grade/level passed in general, specialized, Madrassah education, viz. Matric M.Sc., B.Edl, Allm, Fazil, etc. ____ Educational characteristics (for persons of five years and above) School 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. Attendance 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. Different 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. 1. Below primary, Kindergarten, Montessori, etc. 2. Adult education 3. Institution of laborers education 4. Schools of physical, mental or social education for disabled The 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). Apprenticeships 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. 1. General 2. Specialized education 3. Madrasah education [Pg. 39] 1. 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. 2. 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. Apprenticeship 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. 3.Education 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. Although 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. 1. 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." 2. The people who have never attended any educational institutions for education they will be included in the category "Not attended any school." General, specialized or the highest class/level completed through education in Madarsah Col. 13. Information 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. The 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) [Pg. 41] As 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.). As 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. Persons age 5+ who ever attended school Oriental 1 Less than primary 2 Primary passed, but less than middle 3 Middle passed, but less than matric (high school) 4 Matric passed, but less than intermediate (junior college) 5 Intermediate passed, but less than degree 6 Degree passed, but less than higher degree 7 Post-graduate 8 Certificate 9 Diploma 99 NIU (not in universe) This variable indicates the person's level of education completed. Education Variables -- PERSON IPUMS Technical education Technical education Technical education Technical education Technical education Educational characteristics (For persons 5 years of age and above) [Questions 11-14.] 14. Area of specialized education Write area for entries of specialized education in col. 13, e.g. Teaching, Engineering, Agriculture, etc. ____ 6.4 Field of Specialized Education (Col. 14) The 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. The details of different fields of education as these will be entered in Col. 14 are given as described below: The 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. [Pg. 42] 1. Arts and Social Science. Refers 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. 2. Natural Science. Refers 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. 3. Teaching and education. Refers 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. 4. Law. Refers to LLB, of that this education is attained from a Law College or some arts college. 5. Commerce and Administration. Refers 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. 6. Craft Technology and Engineering. Refers 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. 7. Medical Refers 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. 8. Agriculture, forestry and fishery. Refers 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. 9. Other special education: Refers 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. The 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). Persons age 5+ who ever attended school 1 Humanities 2 Education 3 Fine Arts 4 Law 5 Social science 6 Natural sciences 7 Engineering 8 Medical Science 9 Agriculture 10 Veterinary medicine 11 Other specialized education 12 No specialized education 99 NIU (not in universe) This variable indicates the person's technical area of education. Education Variables -- PERSON IPUMS Worked last week Worked last week Worked last week Worked last week Worked last week Economic characteristics (For persons 10 years of age and above) 15. 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). [] 1 Yes [] 2 No 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. [Pg. 52] 7.26 The economic status of household members who are temporarily absent may be determined through responses of respondents and examples are given below. 1) 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. 2) 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. 3) 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. 4) 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. Persons age 10+ 1 Yes 2 No 8 Unknown 9 NIU (not in universe) 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. Work Variables -- PERSON IPUMS Occupation, 1 digit Occupation, 1 digit Occupation, 1 digit Occupation, 1 digit Occupation, 1 digit Economic characteristics (For persons 10 years of age and above) For those who answered yes in Col. 15 16. What kind of work did he/she do most of the last week? [Question 16 was asked of persons who had a job last week, per question 15.] (Write title of occupation, e.g. Motor Mechanic, Carpenter, Taxi Driver, Cultivator, etc. ____ 7.27 Question No.16 This 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. The 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. If 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. The 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. The ambiguous entries (e.g., employment, labour, driver, conductor, etc.) will not be entered. The following examples will explain how the entries should be made: "Agent" Tell whether he is a premium agent, commission agent, customer agent or agent of advertisements. "Engineer" Tell whether he is Civil engineer, Mining engineer, Electrical engineer, Chemical engineer, Mechanical engineer, Ship engineer, aeronautical engineer, etc. "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. "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. "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. "Driver" Tell whether he is railway driver, tram driver, taxi driver, bus driver, tonga driver, sailor, driver of unmoved engine, crane operator, lifter, etc. [Pg. 54] "Mechanic" Tell whether he is motor truck driver or cycle motorcycle mechanic; textile mechanic; watch maker; or radio, television, telephone, and telegraph mechanic, etc. "Laborer" Tell whether he is the laborer of train, seaport, sweeper or dry port. "Inspector" Tell whether he is the inspector of health, excise, income tax, police, food or electricity, etc. Persons age 10+ who worked last week NIU (not in universe) 1 Professional, technical and related workers 2 Administrative and managerial workers 3 Clerical and related workers 4 Sales workers 5 Service workers 6 Agricultural, animal husbandry and forestry workers, fishermen and hunters 7 Production and related workers, transport equipment operators and laborers 9 Unknown This variable indicates the person's occupation (1-digit) last week. Work: Occupation Variables -- PERSON IPUMS Occupation Occupation Occupation Occupation Occupation Economic characteristics (For persons 10 years of age and above) For those who answered yes in Col. 15 16. What kind of work did he/she do most of the last week? [Question 16 was asked of persons who had a job last week, per question 15.] (Write title of occupation, e.g. Motor Mechanic, Carpenter, Taxi Driver, Cultivator, etc. ____ 7.27 Question No.16 This 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. The 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. If 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. The 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. The ambiguous entries (e.g., employment, labour, driver, conductor, etc.) will not be entered. The following examples will explain how the entries should be made: "Agent" Tell whether he is a premium agent, commission agent, customer agent or agent of advertisements. "Engineer" Tell whether he is Civil engineer, Mining engineer, Electrical engineer, Chemical engineer, Mechanical engineer, Ship engineer, aeronautical engineer, etc. "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. "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. "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. "Driver" Tell whether he is railway driver, tram driver, taxi driver, bus driver, tonga driver, sailor, driver of unmoved engine, crane operator, lifter, etc. [Pg. 54] "Mechanic" Tell whether he is motor truck driver or cycle motorcycle mechanic; textile mechanic; watch maker; or radio, television, telephone, and telegraph mechanic, etc. "Laborer" Tell whether he is the laborer of train, seaport, sweeper or dry port. "Inspector" Tell whether he is the inspector of health, excise, income tax, police, food or electricity, etc. Persons age 10+ who worked last week 11 Chemist 12 Physicists 13 Physical scientists not elsewhere classified 14 Physical science technicians 21 Architects and town planners 22 Civil engineers 23 Electrical and electronics engineers 24 Mechanical engineers including marine and aeronautical engineers 25 Chemical engineers 26 Metallurgists 27 Mining engineers and metallurgical engineers 28 Industrial engineers 29 Engineers not elsewhere classified 30 Surveyors 32 Draughtsman and cartographers including lithographic artists 33 Civil engineering technicians 34 Electrical and electronics engineering technicians 35 Mechanical engineering technicians 36 Chemical engineering technicians 37 Metallurgical technicians 38 Mining technicians 39 Engineering and related technicians not elsewhere classified 41 Aircraft pilots, navigators and flight engineers 42 Ships' deck officers and pilots 43 Ships' engineers 49 Aircraft and ships' officers not elsewhere classified 51 Biologists, zoologists and related scientists 52 Bacteriologists, pharmacologists and related scientists 53 Agronomists and related scientists 54 Life sciences technicians 61 Medical doctors and surgeons 62 Medical assistants 63 Dentists 64 Dental assistants 65 Veterinarians 66 Veterinary assistants 67 Pharmacists 68 Pharmaceutical assistants 69 Dieticians and public health nutritionists 71 Professional nurses 72 Nursing personnel not elsewhere classified 73 Professional midwives 74 Midwifery personnel not elsewhere classified 75 Optometrists and opticians 76 Physiotherapists and occupational therapists 77 Medical X-ray technicians 78 Hakims/veids and homeopathic doctors 79 Medical, dental, veterinary and related workers not elsewhere classified including unregistered medical practitioners 81 Statisticians 82 Mathematicians and actuaries 83 Systems analysts and programmers 84 Statistical and mathematical technicians 90 Economists 110 Accountants and auditors 121 Lawyers 122 Judges 129 Jurists and other related legal occupations not elsewhere classified 131 University and college teachers 132 Secondary education teachers (including technical high school teachers) 133 Primary education teachers 134 Pre-primary education teachers 135 Teachers for education of handicapped 136 Teachers of religious education at all levels 137 Teachers of polytechnics, technical institutes 139 Teachers not elsewhere classified 140 Workers in religion 151 Authors and critics 159 Authors, journalists and related writers not elsewhere 161 Sculptors, painters and related artists 162 Commercial artists and designers 163 Photographers and cameramen 171 Composers, musicians and singers 172 Choreographers and dancers 173 Actors and stage directors 174 Producers (performing arts) 175 Circus performers 179 Performing artists not elsewhere classified 180 Athletes, sportsmen and related workers 191 Librarians, archivists and curators 192 Sociologists, anthropologists and related scientists 193 Social workers (full-time) 194 Personal and occupational specialists 195 Philologists, translators and interpreters 199 Other professional, technical and related workers 201 Governors, ministers and legislators not otherwise occupied (employed) 202 Government administrators and executives 211 Managers, directors and working proprietors mining and quarrying, manufacturing, construction communications, transport utility and sanitary services, excluding wholesale and retail trade and production managers 212 Production managers, except farms 213 Managers, directors and working proprietors of wholesale and retail trade including banks, insurance, real estate and other financial and business services institutions 219 Managers, directors and working proprietors not elsewhere classified 300 General Office supervisors 310 Non-gazette officers in local administration and government 321 Stenographers, typists and teletypists 322 Card and tape punching machine operators 331 Book-keepers, cashiers and related workers 339 Book-keepers, cashiers and related workers not elsewhere classified 341 Office machine operators 342 Automatic data processing machine operators 351 Railway station masters 352 Postmasters 359 Transport and communication supervisors not elsewhere classified 361 Railway passenger and goods train guards 362 Bus and train conductors 363 Inland water transport conductors 371 Postmen and sorters 372 Messengers and mail distribution workers (runners) 380 Tele-communication operators 391 Stock clerks 392 Material and production planning clerks 393 Correspondence and reporting clerks 394 Receptionists and travel agency clerks 395 Library and filing assistants/clerks 396 General clerks including government clerks 399 Clerks and other office workers not elsewhere classified 401 Managers (whole-sale trade) 402 Managers (retail trade) 410 Working proprietors (whole-sale and retail trade) 421 Sales supervisors/representatives 422 Purchasing agents and buyers 431 Technical salesmen and service advisors 432 Commercial travelers and manufacturer's agents/representatives 441 Insurance, real estate and securities salesmen 442 Business and advertising services agents 443 Auctioneers 451 Salesmen, shop assistants and demonstrators 452 Street vendors/canvassers 491 Money lenders and pawn brokers 499 Selling occupation not elsewhere classified 500 Managers (catering and lodging services) 510 Working proprietors (catering and lodging services) 520 Housekeeping and related service supervisors 531 Cooks and chefs 539 Other occupations in cooking, waiting, not elsewhere classified 540 Maids and related housekeeping service workers not elsewhere classified 551 Building caretakers 552 Charworkers, cleaners and related workers 560 Launderers, dry cleaners and pressers (including Dhobies) 570 Hairdressers, barbers, beauticians and related workers 581 Fire fighters 582 Policemen and detectives 589 Prison wardens, security staff, guards and related occupations not elsewhere classified 591 Guides 592 Undertakers and embalmers 599 Other service workers 600 Farm managers and supervisors 611 General farmers 612 Specialized farmers, excluding tea plantation workers 621 General farm workers 622 Field crop and vegetable growing workers 623 Orchard, vine yard and related tree and shrub crop workers except tea plantation workers 624 Live-stock and poultry farm workers 625 Dairy farm workers 626 Tea plantation workers 627 Nursery workers and gardeners including labha workers 628 Farm machinery operators 629 Agricultural and animal husbandry workers not elsewhere classified including bee keeping workers 631 Loggers 632 Forestry workers except loggers 641 Fishermen 642 Hunters, trappers and game wardens 649 Fishermen, hunters and related workers not elsewhere classified 700 Production supervisors and general foremen 711 Miners and quarrymen 712 Mineral and stone treaters 713 Well drillers, borers and related workers 719 Miners, quarrymen, well drillers and related workers including workers extracting gold from river sand 721 Metal smelting, converting and refining workers 722 Metal re-rolling mill workers 723 Metal melters and reheaters 724 Metal casters 725 Metal molders and core makers 726 Metal annealers, temperers and case hardeners 727 Metal drawers and extruders 728 Metal platers and coaters 729 Metal processers not elsewhere classified 731 Wood treaters 732 Sawyers, plywood makers and related wood processing workers 733 Pulp preparers 734 Paper makers 739 Wood preparation occupations not elsewhere classified 741 Crushers, grinders and mixers operators 742 Cookers, roasters and related heat treating machine operators 743 Filter and separator operators 744 Still and reactor operators 745 Petroleum refining workers 749 Chemical processors and related workers not elsewhere classified 751 Fiber preparers 752 Spinners, winders and twisters 753 Weaving and knitting machine setters and pattern-card preparers 754 Weavers and related workers (textile) 755 Knitters 756 Bleachers, dyers and textile product finishers 759 Spinners, weavers, mitters, dyers and related workers not elsewhere classified 761 Tanners and fellmongers 762 Pelt dressers 771 Grain millers, rice huskers and related workers 772 Sugar processors and refiners 773 Butchers and meat preparers 774 Food preservers 775 Dairy product processers 776 Bakers, confectionery and sweetmeat makers 777 Tea, coffee and cocoa preparers 778 Brewers, wine and beverage makers 779 Food and beverage processors not elsewhere classified 781 Tobacco preparers 782 Cigar makers 783 Cigarette makers 784 Bidi makers 789 Tobacco preparers and tobacco product makers not elsewhere classified 791 Tailors and dressmakers 792 Fur tailors and related workers 793 Milliners and hatmakers 794 Patternmakers and cutters 795 Sewers and embroiderers 796 Upholsterers and related workers 799 Tailors, dressmakers, sewers, upholsterers and related workers not elsewhere classified 801 Footwear makers, repairers and cutters not in factory 802 Footwear makers, repairers and cutters in factory 803 Leather goods makers 809 Other manufacturing and repairing occupations in leather products 811 Coopers and cabinet and furniture makers 812 Wood machinists 813 Finishers and polishers (wood) 819 Cabinet makers and related wood workers not elsewhere classified 820 Stone cutters and carvers 831 Blacksmiths, hammersmiths and forging press operators 832 Tool makers, metal pattern makers and metal makers 833 Machine tool setters/operators 834 Metal tool operators 835 Metal grinders, polishers and tool sharpeners 839 Blacksmiths, toolmakers and machine tool operators not elsewhere classified 841 Machinery fitters and machine assemblers 842 Watch, clock and precision instrument makers 843 Motor vehicle mechanics 844 Aircraft engine mechanics 849 Fitters, assemblers and precision instrument makers (except electrical) not elsewhere classified 851 Electrical fitters 852 Electronics fitters 853 Electrical and electronic equipment assemblers 854 Radio and television repairmen 855 Electricians/wiremen 856 Telecommunication (telephone and telegraph) installers 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and electronics workers not elsewhere classified 861 Broadcasting station operators 862 Sound equipment operators and cinema projectionists 871 Plumbers and pipe fitters 872 Welders and flame cutters 873 Sheet metal workers 874 Structural metal preparers and erectors 880 Jeweler and precious metal workers and engravers 891 Glass formers, cutters, grinders and finishers 892 Potters and related clay abrasive formers 893 Glass and ceramics kilnmen 894 Glass engravers and etchers 895 Glass and ceramics painters and decorators 899 Glass formers, potters and related workers not elsewhere classified 901 Rubber and plastics product makers (except tire makers and tire vulcanisers) 902 Tyre makers and vulcanisers 910 Paper and paperboard product makers 921 Compositors, typesetters and phototypesetters 922 Printing pressmen 923 Stereo-typers and electrotypers 924 Printing engravers (except photo-engravers) 925 Photo-engravers 926 Book binders and related workers 927 Photographic darkroom workers 929 Printers and related workers not elsewhere classified 931 Painters, construction 939 Painters not elsewhere classified 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Non-metallic mineral product makers 949 Other production and related workers 951 Bricklayers, stonemasons and tile setters 952 Reinforced concreters, cement finishers and terrazzo workers 953 Roofers 954 Carpenters, joiners and parquetry workers 955 Plasterers 956 Insulators 957 Glaziers 959 Construction workers not elsewhere classified 961 Power generating machinery operators 969 Stationary engine and related equipment operators n.e.c. 971 Dokers and fright handlers 972 Riggers and cable splicers 973 Crane and hoist operators 974 Earth-moving and related machinery operators 979 Material handling equipment operators not elsewhere classified 981 Ships deck ratings, barge crews and boatman 982 Ships engine room ratings 983 Railway engine drivers and firemen 984 Railway brakemen, signalmen and shunters 985 Motor vehicle drivers 986 Animal and animal-drawn vehicle drivers 987 Cycle rickshaw drivers and pullers (manual) 989 Transport equipment operators not elsewhere classified 990 Laborers not elsewhere classified 998 Unknown 999 NIU (not in universe) This variable indicates the person's occupation (3-digit) last week. Work: Occupation Variables -- PERSON IPUMS Industry, 2 digit Industry, 2 digit Industry, 2 digit Industry, 2 digit Industry, 2 digit Economic characteristics (For persons 10 years of age and above) For those who answered yes in Col. 15 17. What kind of industry or business or service was he/she working in? ____ 7.28 Industry The 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. If 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. Example 1 Occupation (Column 16): Agriculture Farmer or Cultivator Nature 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. Industry (entry to be made in Col. 17): Agriculture Example 2 Occupation (Column 16): Rearing the Live-stock Nature 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. Industry (entry to be made in Col. 17): Breeding and look after of cattle Example 3 Occupation (Column 16): Carpenter Nature of Job: Wooden Furniture Industry (entry to be made in Col. 17): Furniture and artificer in wood work Example 4 Occupation (Column 16): Carpenter Nature of Job: Artifice /making of railway carriage Industry (entry to be made in Col. 17): Railway Transportation Example 5 Occupation (Column 16): Truck Driver Nature of Job: Goods carrier Industry (entry to be made in Col. 17): Transportation, Truck Example 6 Occupation (Column 16): Porter(Coli) (Unskilled laborer who works in food market) Nature of Job: Carrier of goods in wholesale trade of food Industry (entry to be made in Col. 17): Whole sale and retail trade Example 7 Occupation (Column 16): Porter(Coli) (Unskilled laborer who works at a bus stop) Nature of Job: Road Transportation Industry (entry to be made in Col. 17): Transportation Example 8 Occupation (Column 16): Laborer (Mason) (Unskilled laborer who works in construction) Nature of Job: Construction of building Industry (entry to be made in Col. 17): Construction Example 9 Occupation (Column 16): Carpenter (power loomed) Nature of Job: Carpet/machine manufacturing Industry (entry to be made in Col. 17): Carpet/machine manufacturing Example 10 Occupation (Column 16): Carpenter (Maker of agricultural tools) Nature of Job: Manufacturer of agricultural tools Industry (entry to be made in Col. 17): Manufacturing of agricultural tools Example 11 Occupation (Column 16): Salesman Nature of Job: Cloth market, shoes market sweet, departmental store Industry (entry to be made in Col. 17): Wholesale and retail business Persons age 10+ who worked last week 11 Agriculture, livestock and hunting 12 Forestry and logging 13 Fishing 21 Coal Mining 22 Crude petroleum and natural gas production 23 Metal ore mining 29 Other mining 31 Manufacture of food, beverages and tobacco 32 Textile, wearing apparel and leather industries 33 Manufacture of wood and wood products including furniture 34 Manufacture of paper and paper products, printing and publishing 35 Manufacture of chemicals, chemical products, and products of petroleum, coal, rubber and plastics 36 Manufacture of non-metallic mineral products except petroleum and coal 37 Basic metal industries 38 Manufacture of fabricated metal products, machinery and equipment 39 Other manufacturing and handicrafts 41 Electricity, gas and steam 42 Water works and supply 51 Building construction and related activities 52 Construction of streets, roads, highways and bridges 53 Construction of irrigation and hydroelectric projects 54 Construction of docks and communications projects 59 Construction projects, n.e.c. 61 Wholesale trade 62 Retail trade 63 Restaurants and hotels 71 Transport and storage 72 Communication 81 Financial institutions 82 Insurance 83 Real estate and business services 91 Public administration 92 Sanitary and similar services 93 Social and related community services 94 Recreation and cultural services 95 Personal and household services 96 International and other extra territorial bodies 98 Unknown 99 NIU (not in universe) This variable indicates the industry (2-digit) the person worked last week. Work: Industry Variables -- PERSON IPUMS Work status Work status Work status Work status Work status Economic characteristics (For persons 10 years of age and above) For those who answered yes in Col. 15 18. Did he/she work as [] 1 Employer [] 2 Employee [] 3 Self employed [] 4 Unpaid family helper 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. Column 18 Did he/she work as : 1. Employer 2. Employee 3. Self employed 4. Unpaid family helper? 7.30 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. If 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. It has been further elaborated in below. Occupation: Unskilled laborer who works in food market Industry: Trade Nature of job: He works in food market for fixed hours and timing of work is determined by employer Status of Employment: Employee Occupation: Unskilled laborer who works in food market Industry: Transportation Nature 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 Status of Employment: Self-employed Occupation: Laborer (Mason) (Unskilled laborer who work in construction) Industry: Construction Nature of job: He works on contract basis and gets wages proportion to work without fixed time Status of Employment: Self-employed Occupation: Laborer (Mason) (Unskilled laborer who work in construction) Industry: Construction Nature of job: His timing of work is fixed by the employer and he has to work within fixed time Status of Employment: Employee Occupation: Porter (Coli) (Unskilled laborer who work in Bus stop) Industry: Transportation Nature of job: He loads/unloads and looks after the luggage of passengers and his timing of laboring is not fixed Status of Employment: Self-employed Occupation: A water carrier (Unskilled laborer who provide water in the houses and shops) Industry: Self-service Nature 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 Status of Employment: Self-employed Occupation: A Water carrier (Unskilled laborer who works in construction) Industry: Construction Nature 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. Status of Employment: Employee Persons age 10+ who worked last week 1 Employer 2 Employee 3 Self employed 4 Unpaid family worker 8 Unknown 9 NIU (not in universe) This variable indicates the person's work status (class of worker). Work Variables -- PERSON IPUMS Hours of work Hours of work Hours of work Hours of work Hours of work Economic characteristics (For persons 10 years of age and above) For those who answered yes in Col. 15 19. How many hours did he/she work during the last week? ____ 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. 7.32 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). Persons age 10+ who worked last week 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 998 Unknown 999 NIU (not in universe) This variable indicates the total number of hours the person worked last week. Work Variables -- PERSON IPUMS Reason for unemployment Reason for unemployment Reason for unemployment Reason for unemployment Reason for unemployment Economic characteristics (For persons 10 years of age and above) For those who did not work for pay or profit last week [Questions 20-21.] 20. Was he/she [] 1 Able to work and looking for work (unemployed) [] 2 Temporarily suspended for 30 days [] 3 Job assured but not started [] 4 Unable to work [] 5 Others 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. 1 Able to work and looking for work If he/she was able to work and looking for work/job 2 Temporarily suspended for 30 days If he/she was suspended for less than 30 days on temporary basis 3 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. 4 Unable to work If he/she is unable to work [Pg. 59] 5 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. The different terminologies that are used here, have been interpreted/elaborated in sections 7.15 to 7.23 . Persons age 10+ who did not work last week 1 Able to work and looking for work (unemployed) 2 Temporarily suspended for 30 days 3 Job assured but work not started 4 Unable to work (age or disability) 5 Others 8 Unknown 9 NIU (not in universe) This variable indicates the person's reason for unemployment. Work Variables -- PERSON IPUMS Time looking for work (months) Time looking for work (months) Time looking for work (months) Time looking for work (months) Time looking for work (months) Economic characteristics (For persons 10 years of age and above) For those who did not work for pay or profit last week [Questions 20-21.] (For those who answered yes to number 1 [able to work and looking for work] in column 20 only) 21. How long has he/she been looking for work? Months _ _ 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). Persons age 10+ who did not work last week Less than one month 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 More than 99 months 998 Unknown 999 NIU (not in universe) This variable indicates the time (in months) when the person looked for work. Work Variables -- PERSON IPUMS Age at first marriage Age at first marriage Age at first marriage Age at first marriage Age at first marriage Children born (For ever married women only) 22. Age at first marriage Write the age in completed years. Give actual number, if none put a cross in the relevant column. _ _ 8.2 Age at first marriage (Col 22) For 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. Since 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. If 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 1) What was age of Mrs. X/Y when she got married? If the enumerator observes that the present marriage is not her first marriage then the question may be asked, 2) What was the age of Mrs. X/Y when she got married first? (which occurred somewhere else). Similarly 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. Ever-married females 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 79 79 80 80 82 82 83 83 84 84 85 85 90 90 91 91 98 Unknown 99 NIU (not in universe) This variable indicates the person's age at first marriage. Demographic Variables -- PERSON IPUMS Total male births Total male births Total male births Total male births Total male births Children born (For ever married women only) How many sons? 23. Were ever born to you? _ _ 24. Are still alive? _ _ 8.3 Children ever born Col 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?" 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. Ever-married females 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more 99 NIU (not in universe) This variable indicates the total male children born to the person. Fertility and Mortality Variables -- PERSON IPUMS Living male children Living male children Living male children Living male children Living male children Children born (For ever married women only) How many sons? 23. Were ever born to you? _ _ 24. Are still alive? _ _ 8.4 Number of children who are still living (Col 24) The 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? The 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. Ever-married females 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more 99 NIU (not in universe) This variable indicates the total male children still alive that were born to the person. Fertility and Mortality Variables -- PERSON IPUMS Total female births Total female births Total female births Total female births Total female births Children born (For ever married women only) How many daughters 25. Were ever born to you? _ _ 26. Are still alive? _ _ 8.5 How many girls were born (Col 25) The 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. Ever-married females 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more 99 NIU (not in universe) This variable indicates the total number of female children born to the person. Fertility and Mortality Variables -- PERSON IPUMS Living female children Living female children Living female children Living female children Living female children Children born (For ever married women only) How many daughters 25. Were ever born to you? _ _ 26. Are still alive? _ _ 8.6 Number of girls still living (Col 26) The 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. The 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. Ever-married females 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more 99 NIU (not in universe) This variable indicates the total number of female children still alive that were born to the person. Fertility and Mortality Variables -- PERSON IPUMS Period since last baby born alive Period since last baby born alive Period since last baby born alive Period since last baby born alive Period since last baby born alive Children born (For ever married women only) Period since last baby born alive? Write (in years and months) the period from the date the last live baby was born to the date of enquiry. 27. Years _ _ 28. Months _ _ 8.7 Duration since last live birth (Col 27-28) The 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. "What is the duration since last live birth of Mrs. X/Y?" This 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. Intervening duration will be written in completed years or months. If, at the date of enumeration, the age of last live born baby was 5 years and 6 months then this duration will be 5 years seven months. Five will be written in the years box and 7 will be written in the months box. If the age of the baby is less than one year (e.g., 8 months and 10 days), then his age will be considered as 8 months. A dash will be filled in Col. 27 and the digit 8 will be entered in Col. 28. If no baby has ever been born to that woman then a dash will be put in Col. 23-28. Ever-married females Less than one month 1 1 month 2 2 months 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 months or more 999 NIU (not in universe) This variable indicates the period (in months) since the last live baby was born. Fertility and Mortality Variables -- PERSON IPUMS Person weight Person weight Person weight Person weight Person weight Person weight All persons This variable indicates the person weight. Technical Variables -- PERSON IPUMS