DDI_ZMB_2000_PHC_v01_M_v02_A_IPUMS
Minnesota Population Center
Development Data Group
2016-04-25
NADA
- Version 02 (April 2018). This version is identical to version 6.4 (April 2016), except for the DDI Document ID and ID Number which were updated.
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.
Census of Population and Housing 2000 - IPUMS Subset
PHC 2000 (IPUMS Harmonized Subset)
ZMB_2000_PHC_v01_M_v02_A_IPUMS
Central Statistical Office
Minnesota Population Center
Minnesota Population Center
(c) Copyright 2000, Central Statistical Office and Minnesota Population Center
NADA
Central Statistical Office
Population and Housing Census [hh/popcen]
Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.
In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming.
In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.
In this version, geographic variables are significantly revised. IPUMS has developed subnational geographies for each country that are consistent over time and have associated GIS shape files. To distinguish the harmonized and unharmonized geographic variables, which will ultimately be available at the first and second administrative levels for most countries, a new, more systematic variable-naming convention have been imposed. The available geographic variables and their old and new names are described <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Further explanation of the new geographic variables and the GIS boundary files is available <a href='https://international.ipums.org/international/geography_gis.shtml'>here</a>.
Technical Household Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Geography: Global Variables -- HOUSEHOLD
Utilities Variables -- HOUSEHOLD
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Dwelling Characteristics Variables -- HOUSEHOLD
Demographic Variables -- PERSON
Fertility and Mortality Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Disability Variables -- PERSON
Geography: M-Z Variables -- HOUSEHOLD
Ethnicity and Language Variables -- PERSON
Migration Variables -- PERSON
Constructed Household Variables -- HOUSEHOLD
Constructed Family Interrelationship Variables -- PERSON
Group Quarters Variables -- HOUSEHOLD
Household Economic Variables -- HOUSEHOLD
Other Household Variables -- HOUSEHOLD
Other Person 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.
Zambia
National coverage
Constituency
Dwellings, households and individuals
Census/enumeration data [cen]
UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
UNIT DESCRIPTIONS:
- Dwellings: An independent place of abode intended for habitation by one household.
- Households: A group of persons who normally live and eat together. These people may or may not be related by blood, but make common provision for food or other essentials for living and they have only one person whom they all regard as head of the household. Such people are called members of the household if they normally live and eat together even if they do not sleep under one roof. There can also be a one member household where a person makes provision for his/her own food or other essentials for living. Such a person is the head of his/her household.
MICRODATA SOURCE: Central Statistical Office
SAMPLE DESIGN: Systematic sample of every tenth private dwelling. Drawn by the Minnesota Population Center from 100% microdata.
SAMPLE UNIT: Households
SAMPLE FRACTION: 10%
SAMPLE SIZE (person records): 996,117
Face-to-face [f2f]
Two questionnaires were administered, Form A for household information and Form B for individual information.
De jure and de facto, CENSUS DAY: October 16th, 2000, FIELD WORK PERIOD: October 16th, 2000 to Novemeber 15th, 2000
Self-weighting (expansion factor=10)
IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.
To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
IPUMS-International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS-International uses a variety of technical procedures to enhance confidentiality protection. These include the following:
(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.
(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.
(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)
(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.
The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS-International are designed to extend this record.
IPUMS International
Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [Machine-readable database]. Minneapolis: University of Minnesota, 2015.
Researchers should also acknowledge the statistical agency that originally produced the data:
Zambia, Central Statistical Office, 2000 Census of Population and Housing
The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.
Copies of such materials are also gratefully received at ipums@umn.edu.
Printed matter should be sent to:
IPUMS-International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455
An adapted version of the dataset, harmonized for international comparability, is available from IPUMS-International (https://international.ipums.org/international/) under the following conditions:
IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
ZMB2000-H-H
Household record
0
93
ZMB2000-P-H
Person records
0
151
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. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types.
Technical Household Variables -- HOUSEHOLD
IPUMS
Year
Year
Year
Year
Year
1960
1960
1962
1962
1963
1963
1964
1964
1966
1966
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
YEAR gives the year in which the census was taken.
Technical Household Variables -- HOUSEHOLD
IPUMS
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
32197001
Argentina 1970
32199101
Argentina 1991
32200101
Argentina 2001
32201001
Argentina 2010
32219801
Argentina 1980
40197101
Austria 1971
40198101
Austria 1981
40199101
Austria 1991
40200101
Austria 2001
40201101
Austria 2011
50199101
Bangladesh 1991
50200101
Bangladesh 2001
50201101
Bangladesh 2011
51200101
Armenia 2001
51201101
Armenia 2011
68197601
Bolivia 1976
68199201
Bolivia 1992
68200101
Bolivia 2001
76196001
Brazil 1960
76197001
Brazil 1970
76198001
Brazil 1980
76199101
Brazil 1991
76200001
Brazil 2000
76201001
Brazil 2010
112199901
Belarus 1999
116199801
Cambodia 1998
116200801
Cambodia 2008
120197601
Cameroon 1976
120198701
Cameroon 1987
120200501
Cameroon 2005
124197101
Canada 1971
124198101
Canada 1981
124199101
Canada 1991
124200101
Canada 2001
152196001
Chile 1960
152197001
Chile 1970
152198201
Chile 1982
152199201
Chile 1992
152200201
Chile 2002
156198201
China 1982
156199001
China 1990
170196401
Colombia 1964
170197301
Colombia 1973
170198501
Colombia 1985
170199301
Colombia 1993
170200501
Colombia 2005
188196301
Costa Rica 1963
188197301
Costa Rica 1973
188198401
Costa Rica 1984
188200001
Costa Rica 2000
188201101
Costa Rica 2011
192200201
Cuba 2002
214196001
Dominican Republic 1960
214197001
Dominican Republic 1970
214198101
Dominican Republic 1981
214200201
Dominican Republic 2002
214201001
Dominican Republic 2010
218196201
Ecuador 1962
218197401
Ecuador 1974
218198201
Ecuador 1982
218199001
Ecuador 1990
218200101
Ecuador 2001
218201001
Ecuador 2010
222199201
El Salvador 1992
222200701
El Salvador 2007
231198401
Ethiopia 1984
231199401
Ethiopia 1994
231200701
Ethiopia 2007
242196601
Fiji 1966
242197601
Fiji 1976
242198601
Fiji 1986
242199601
Fiji 1996
242200701
Fiji 2007
250196201
France 1962
250196801
France 1968
250197501
France 1975
250198201
France 1982
250199001
France 1990
250199901
France 1999
250200601
France 2006
250201101
France 2011
275199701
Palestine 1997
275200701
Palestine 2007
276197001
Germany 1970 (West)
276197101
Germany 1971 (East)
276198101
Germany 1981 (East)
276198701
Germany 1987 (West)
288198401
Ghana 1984
288200001
Ghana 2000
288201001
Ghana 2010
300197101
Greece 1971
300198101
Greece 1981
300199101
Greece 1991
300200101
Greece 2001
324198301
Guinea 1983
324199601
Guinea 1996
332197101
Haiti 1971
332198201
Haiti 1982
332200301
Haiti 2003
348197001
Hungary 1970
348198001
Hungary 1980
348199001
Hungary 1990
348200101
Hungary 2001
356198341
India 1983
356198741
India 1987
356199341
India 1993
356199941
India 1999
356200441
India 2004
360197101
Indonesia 1971
360197601
Indonesia 1976
360198001
Indonesia 1980
360198501
Indonesia 1985
360199001
Indonesia 1990
360199501
Indonesia 1995
360200001
Indonesia 2000
360200501
Indonesia 2005
360201001
Indonesia 2010
364200601
Iran 2006
368199701
Iraq 1997
372197101
Ireland 1971
372197901
Ireland 1979
372198101
Ireland 1981
372198601
Ireland 1986
372199101
Ireland 1991
372199601
Ireland 1996
372200201
Ireland 2002
372200601
Ireland 2006
372201101
Ireland 2011
376197201
Israel 1972
376198301
Israel 1983
376199501
Israel 1995
380200101
Italy 2001
388198201
Jamaica 1982
388199101
Jamaica 1991
388200101
Jamaica 2001
400200401
Jordan 2004
404196901
Kenya 1969
404197901
Kenya 1979
404198901
Kenya 1989
404199901
Kenya 1999
404200901
Kenya 2009
417199901
Kyrgyz Republic 1999
417200901
Kyrgyz Republic 2009
430197401
Liberia 1974
430200801
Liberia 2008
454198701
Malawi 1987
454199801
Malawi 1998
454200801
Malawi 2008
458197001
Malaysia 1970
458198001
Malaysia 1980
458199101
Malaysia 1991
458200001
Malaysia 2000
466198701
Mali 1987
466199801
Mali 1998
466200901
Mali 2009
484196001
Mexico 1960
484197001
Mexico 1970
484199001
Mexico 1990
484199501
Mexico 1995
484200001
Mexico 2000
484200501
Mexico 2005
484201001
Mexico 2010
496198901
Mongolia 1989
496200001
Mongolia 2000
504198201
Morocco 1982
504199401
Morocco 1994
504200401
Morocco 2004
508199701
Mozambique 1997
508200701
Mozambique 2007
524200101
Nepal 2001
528196001
Netherlands 1960
528197101
Netherlands 1971
528200101
Netherlands 2001
558197101
Nicaragua 1971
558199501
Nicaragua 1995
558200501
Nicaragua 2005
566200621
Nigeria 2006
566200721
Nigeria 2007
566200821
Nigeria 2008
566200921
Nigeria 2009
566201021
Nigeria 2010
586197301
Pakistan 1973
586198101
Pakistan 1981
586199801
Pakistan 1998
591196001
Panama 1960
591197001
Panama 1970
591198001
Panama 1980
591199001
Panama 1990
591200001
Panama 2000
591201001
Panama 2010
600196201
Paraguay 1962
600197201
Paraguay 1972
600198201
Paraguay 1982
600199201
Paraguay 1992
600200201
Paraguay 2002
604199301
Peru 1993
604200701
Peru 2007
608199001
Philippines 1990
608199501
Philippines 1995
608200001
Philippines 2000
620198101
Portugal 1981
620199101
Portugal 1991
620200101
Portugal 2001
620201101
Portugal 2011
630197001
Puerto Rico 1970
630198001
Puerto Rico 1980
630199001
Puerto Rico 1990
630200001
Puerto Rico 2000
630200501
Puerto Rico 2005
630201001
Puerto Rico 2010
642197701
Romania 1977
642199201
Romania 1992
642200201
Romania 2002
646199101
Rwanda 1991
646200201
Rwanda 2002
662198001
Saint Lucia 1980
662199101
Saint Lucia 1991
686198801
Senegal 1988
686200201
Senegal 2002
694200401
Sierra Leone 2004
704198901
Vietnam 1989
704199901
Vietnam 1999
704200901
Vietnam 2009
705200201
Slovenia 2002
710199601
South Africa 1996
710200101
South Africa 2001
710200701
South Africa 2007
710201101
South Africa 2011
724198101
Spain 1981
724199101
Spain 1991
724200101
Spain 2001
724201101
Spain 2011
728200801
South Sudan 2008
729200801
Sudan 2008
756197001
Switzerland 1970
756198001
Switzerland 1980
756199001
Switzerland 1990
756200001
Switzerland 2000
764197001
Thailand 1970
764198001
Thailand 1980
764199001
Thailand 1990
764200001
Thailand 2000
792198501
Turkey 1985
792199001
Turkey 1990
792200001
Turkey 2000
800199101
Uganda 1991
800200201
Uganda 2002
804200101
Ukraine 2001
818199601
Egypt 1996
818200601
Egypt 2006
826199101
United Kingdom 1991
826200101
United Kingdom 2001
834198801
Tanzania 1988
834200201
Tanzania 2002
840196001
United States 1960
840197001
United States 1970
840198001
United States 1980
840199001
United States 1990
840200001
United States 2000
840200501
United States 2005
840201001
United States 2010
854198501
Burkina Faso 1985
854199601
Burkina Faso 1996
854200601
Burkina Faso 2006
858196301
Uruguay 1963
858197501
Uruguay 1975
858198501
Uruguay 1985
858199601
Uruguay 1996
858200621
Uruguay 2006
858201101
Uruguay 2011
862197101
Venezuela 1971
862198101
Venezuela 1981
862199001
Venezuela 1990
862200101
Venezuela 2001
894199001
Zambia 1990
894200001
Zambia 2000
894201001
Zambia 2010
SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows:
The first 3 digits are the ISO/UN codes used in COUNTRY
The next 4 digits are the year of the census/survey
The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41).
Technical Household Variables -- HOUSEHOLD
IPUMS
Household serial number
Household serial number
Household serial number
Household serial number
Household serial number
SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database.
SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred:
Chile 1970, 1992, 2002
Colombia 1993, 2005
Costa Rica 1984, 2000
Cuba 2002
Dominican Republic 1981, 2002, 2010
Ecuador 1990, 2001
Germany 1971
Hungary 1980, 1990, 2001
Jamaica 1982, 1991, 2001
Malaysia 1970, 1991, 2000
Mexico 1995, 1990, 2000, 2005
Nigeria 2006
Panama 2000
Peru 1993, 2007
Portugal 1981, 1991, 2001
Spain 1991
Uruguay 2011
Venezuela 1990, 2001
Vietnam 1989
In all other samples, the last 3 digits are always zeroes.
SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.
Technical Household Variables -- HOUSEHOLD
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 Household Variables -- HOUSEHOLD
IPUMS
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
32002
City of Buenos Aires [Province: Argentina]
32006
Buenos Aires province [Province: Argentina]
32010
Catamarca [Province: Argentina]
32014
Córdoba [Province: Argentina]
32018
Corrientes [Province: Argentina]
32022
Chaco [Province: Argentina]
32026
Chubut [Province: Argentina]
32030
Entre Ríos [Province: Argentina]
32034
Formosa [Province: Argentina]
32038
Jujuy [Province: Argentina]
32042
La Pampa [Province: Argentina]
32046
La Rioja [Province: Argentina]
32050
Mendoza [Province: Argentina]
32054
Misiones [Province: Argentina]
32058
Neuquén [Province: Argentina]
32062
Río Negro [Province: Argentina]
32066
Salta [Province: Argentina]
32070
San Juan [Province: Argentina]
32074
San Luis [Province: Argentina]
32078
Santa Cruz [Province: Argentina]
32082
Santa Fe [Province: Argentina]
32086
Santiago del Estero [Province: Argentina]
32090
Tucumán [Province: Argentina]
32094
Tierra del Fuego [Province: Argentina]
32099
Unknown [Province: Argentina]
40011
Burgenland [State: Austria]
40012
Niederösterreich [State: Austria]
40013
Wien [State: Austria]
40021
Kärnten [State: Austria]
40022
Steiermark [State: Austria]
40031
Oberösterreich [State: Austria]
40032
Salzburg [State: Austria]
40033
Tirol [State: Austria]
40034
Vorarlberg [State: Austria]
50010
Barisal [Division, Bangladesh]
50020
Chittagong [Division, Bangladesh]
50030
Dhaka [Division, Bangladesh]
50040
Khulna [Division, Bangladesh]
50050
Rajshahi, Rangpur [Division, Bangladesh]
50060
Sylhet [Division, Bangladesh]
51901
Yerevan [Province: Armenia]
51902
Aragatsotn [Province: Armenia]
51903
Ararat [Province: Armenia]
51904
Armavir [Province: Armenia]
51905
Gegharkunik [Province: Armenia]
51906
Lori [Province: Armenia]
51907
Kotayk [Province: Armenia]
51908
Shirak [Province: Armenia]
51909
Syunik [Province: Armenia]
51910
Vayots Dzor [Province: Armenia]
51911
Tavush [Province: Armenia]
68001
Chuquisaca [Department: Bolivia]
68002
La Paz [Department: Bolivia]
68003
Cochabamba [Department: Bolivia]
68004
Oruro [Department: Bolivia]
68005
Potosí [Department: Bolivia]
68006
Tarija [Department: Bolivia]
68007
Santa Cruz [Department: Bolivia]
68008
Beni [Department: Bolivia]
68009
Pando [Department: Bolivia]
76011
Rondonia [State: Brazil]
76012
Acre [State: Brazil]
76013
Amazonas [State: Brazil]
76014
Roraima [State: Brazil]
76015
Pará [State: Brazil]
76016
Amapa [State: Brazil]
76021
Maranhao [State: Brazil]
76022
Piauí [State: Brazil]
76023
Ceará [State: Brazil]
76024
Rio Grande do Norte [State: Brazil]
76025
Paraiba [State: Brazil]
76026
Pernambuco [State: Brazil]
76027
Alagoas [State: Brazil]
76028
Sergipe [State: Brazil]
76029
Bahia [State: Brazil]
76031
Minas Gerais [State: Brazil]
76032
Espírito Santo [State: Brazil]
76033
Rio de Janeiro [State: Brazil]
76035
São Paulo [State: Brazil]
76041
Parana [State: Brazil]
76042
Santa Catarina [State: Brazil]
76043
Rio Grande do Sul [State: Brazil]
76051
Mato Grosso, Mato Grosso do Sul [State: Brazil]
76052
Goiás and Tocantins [State: Brazil]
76053
Distrito Federal [State: Brazil]
112001
Brest [Region: Belarus]
112002
Vitebsk [Region: Belarus]
112003
Gomel [Region: Belarus]
112004
Grodno [Region: Belarus]
112006
Minsk [Region: Belarus]
112007
Mogilev [Region: Belarus]
116001
Banteay Meanchey [Province: Cambodia]
116002
Battambang [Province: Cambodia]
116003
Kampong Cham [Province: Cambodia]
116004
Kampong Chhnang [Province: Cambodia]
116005
Kampong Speu [Province: Cambodia]
116006
Kampong Thom [Province: Cambodia]
116007
Kampot [Province: Cambodia]
116008
Kandal [Province: Cambodia]
116009
Koh Kong [Province: Cambodia]
116010
Kratie [Province: Cambodia]
116011
Mondul Kiri [Province: Cambodia]
116012
Phnom Penh [Province: Cambodia]
116013
Preah Vihear [Province: Cambodia]
116014
Prey Veng [Province: Cambodia]
116015
Pursat [Province: Cambodia]
116016
Rotanak Kiri [Province: Cambodia]
116017
Siem Reap and Otdar Meanchey [Province: Cambodia]
116018
Preah Sihanouk [Province: Cambodia]
116019
Stung Treng [Province: Cambodia]
116020
Svay Rieng [Province: Cambodia]
116021
Takeo [Province: Cambodia]
116023
Kep [Province: Cambodia]
116024
Pailin [Province: Cambodia]
120002
Centre, Sud [Province: Cameroon]
120003
Est [Province: Cameroon]
120004
Nord, Adamoua , Extrème Nord [Province: Cameroon]
120005
Littoral [Province: Cameroon]
120007
Nord Ouest [Province: Cameroon]
120008
Ouest [Province: Cameroon]
120010
Sud Ouest [Province: Cameroon]
124010
Newfoundland and Labrador [Province: Canada]
124011
Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada]
124012
Nova Scotia [Province: Canada]
124013
New Brunswick [Province: Canada]
124024
Quebec [Province: Canada]
124035
Ontario [Province: Canada]
124046
Manitoba [Province: Canada]
124047
Saskatchewan [Province: Canada]
124048
Alberta [Province: Canada]
124059
British Columbia [Province: Canada]
152002
Antofagasta and Tarapacá [Region: Chile]
152004
Atacama and Coquimbo [Region: Chile]
152007
Del Maule [Region: Chile]
152008
Del Biobio [Region: Chile]
152009
La Araucanía [Region: Chile]
152010
Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile]
152012
Magallanes and La Antártica Chilena [Region: Chile]
152013
Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile]
152099
Unknown [Region: Chile]
156011
Beijing (municipality) [Province: China]
156012
Tianjin (municipality) [Province: China]
156013
Hebei [Province: China]
156014
Shanxi [Province: China]
156015
Inner Mongolia [Province: China]
156021
Liaoning [Province: China]
156022
Jilin [Province: China]
156023
Heilongjiang [Province: China]
156031
Shanghai (municipality) [Province: China]
156032
Jiangsu [Province: China]
156033
Zhejiang [Province: China]
156034
Anhui [Province: China]
156035
Fujian [Province: China]
156036
Jiangxi [Province: China]
156037
Shangdong [Province: China]
156041
Henan [Province: China]
156042
Hubei [Province: China]
156043
Hunan [Province: China]
156044
Guangdong and Hainan [Province: China]
156045
Guangxi [Province: China]
156051
Sichuan [Province: China]
156052
Guizhou [Province: China]
156053
Yunnan [Province: China]
156054
Tibet [Province: China]
156061
Shaanxi [Province: China]
156062
Gansu [Province: China]
156063
Qinghai [Province: China]
156064
Ningxia [Province: China]
156065
Xinjiang [Province: China]
170005
Antioquia [Department: Colombia]
170008
Atlántico [Department: Colombia]
170011
Bogotá [Department: Colombia]
170013
Bolívar and Sucre [Department: Colombia]
170015
Boyacá and Casanare [Department: Colombia]
170018
Caquetá [Department: Colombia]
170019
Cauca [Department: Colombia]
170023
Córdoba [Department: Colombia]
170025
Cundinamarca [Department: Colombia]
170027
Chocó [Department: Colombia]
170041
Huila [Department: Colombia]
170044
La Guajira [Department: Colombia]
170047
Cesar and Magdalena [Department: Colombia]
170050
Meta and Vichada [Department: Colombia]
170052
Nariño [Department: Colombia]
170054
Norte de Santander [Department: Colombia]
170066
Caldas, Quindío, and Risaralda [Department: Colombia]
170068
Santander [Department: Colombia]
170073
Tolima [Department: Colombia]
170076
Valle [Department: Colombia]
170081
Arauca [Department: Colombia]
170086
Putumayo [Department: Colombia]
170088
San Andrés [Department: Colombia]
170091
Amazonas [Department: Colombia]
170095
Guaviare, Vaupés, and Guainía [Department: Colombia]
188001
San José [Province: Costa Rica]
188002
Alajuela [Province: Costa Rica]
188003
Cartago [Province: Costa Rica]
188004
Heredia [Province: Costa Rica]
188005
Guanacaste [Province: Costa Rica]
188006
Puntarenas [Province: Costa Rica]
188007
Limón [Province: Costa Rica]
192001
Pinar del Río [Province: Cuba]
192002
La Habana [Province: Cuba]
192003
Ciudad de la Habana [Province: Cuba]
192004
Matanzas [Province: Cuba]
192005
Villa Clara [Province: Cuba]
192006
Cienfuegos [Province: Cuba]
192007
Sancti Spiritus [Province: Cuba]
192008
Ciego de Avila [Province: Cuba]
192009
Camagüey [Province: Cuba]
192010
Las Tunas [Province: Cuba]
192011
Holguín [Province: Cuba]
192012
Granma [Province: Cuba]
192013
Santiago de Cuba [Province: Cuba]
192014
Guantánamo [Province: Cuba]
192099
Isla de la Juventud [Province: Cuba]
214001
Federal district and Santo Domingo [Province: Dominican Republic]
214002
Azua [Province: Dominican Republic]
214003
Baoruco [Province: Dominican Republic]
214004
Barahona [Province: Dominican Republic]
214005
Dajabón [Province: Dominican Republic]
214006
Duarte [Province: Dominican Republic]
214007
Elías Piña [Province: Dominican Republic]
214008
El Seibo and Hato Mayor [Province: Dominican Republic]
214009
Espaillat [Province: Dominican Republic]
214010
Independencia [Province: Dominican Republic]
214011
La Altagracia and La Romana [Province: Dominican Republic]
214013
La Vega and Monseñor Nouel [Province: Dominican Republic]
214014
María Trinidad Sánchez and Samaná [Province: Dominican Republic]
214015
Monte Cristi [Province: Dominican Republic]
214016
Pedernales [Province: Dominican Republic]
214017
Peravia and San José de Ocoa [Province: Dominican Republic]
214018
Puerto Plata [Province: Dominican Republic]
214019
Hermanas Mirabal [Province: Dominican Republic]
214021
San Cristóbal and Monte Plata [Province: Dominican Republic]
214022
San Juan [Province: Dominican Republic]
214023
San Pedro de Macorís [Province: Dominican Republic]
214024
Sánchez Ramírez [Province: Dominican Republic]
214025
Santiago [Province: Dominican Republic]
214026
Santiago Rodríguez [Province: Dominican Republic]
214027
Valverde [Province: Dominican Republic]
218001
Azuay [Province: Ecuador]
218002
Bolívar [Province: Ecuador]
218004
Carchi [Province: Ecuador]
218005
Cotopaxi [Province: Ecuador]
218006
Chimborazo [Province: Ecuador]
218007
El Oro [Province: Ecuador]
218009
Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero
218010
Imbabura, Las Golondrinas [Disputed canton] [Disputed canton]
218011
Loja [Province: Ecuador]
218014
Morona Santiago [Province: Ecuador]
218016
Pastaza [Province: Ecuador]
218018
Tungurahua [Province: Ecuador]
218019
Zamora Chinchipe [Province: Ecuador]
218021
Napo, Orellana, Sucumbíos [Province: Ecuador]
218099
Unknown [Province: Ecuador]
222001
Ahuachapán [Department: El Salvador]
222002
Santa Ana [Department: El Salvador]
222003
Sonsonate [Department: El Salvador]
222004
Chalatenango [Department: El Salvador]
222005
La Libertad [Department: El Salvador]
222006
San Salvador [Department: El Salvador]
222007
Cuscatlán [Department: El Salvador]
222008
La Paz [Department: El Salvador]
222009
Cabañas [Department: El Salvador]
222010
San Vicente [Department: El Salvador]
222011
Usulután [Department: El Salvador]
222012
San Miguel [Department: El Salvador]
222013
Morazán [Department: El Salvador]
222014
La Unión [Department: El Salvador]
231001
Tigray [Region: Ethiopia]
231002
Affar [Region: Ethiopia]
231003
Amhara [Region: Ethiopia]
231004
Oromiya [Region: Ethiopia]
231005
Somali [Region: Ethiopia]
231006
Benishangul-Gumz [Region: Ethiopia]
231007
Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia]
231012
Gambela [Region: Ethiopia]
231013
Harari [Region: Ethiopia]
231014
Addis Ababa [Region: Ethiopia]
231015
Dire Dawa [Region: Ethiopia]
231017
Special region [Region: Ethiopia]
238094
Falkland Islands [Province: Argentina]
239094
South Georgia and South Sandwich Islands [Province: Argentina]
242001
Ba [Province: Fiji]
242003
Bua, Cakaudrove [Province: Fiji]
242006
Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji]
242007
Macuata [Province: Fiji]
242008
Nadroha [Province: Fiji]
242009
Naitasiri, Rewa [Province: Fiji]
242011
Ra [Province: Fiji]
242014
Serua, Namosi [Province: Fiji]
242015
Tailevu [Province: Fiji]
242099
Ships, unknown [Province: Fiji]
250001
Guadeloupe [Oversea Department, France]
250002
Martinique [Oversea Department, France]
250003
French Guyana [Oversea Department, France]
250004
Réunion Island [Oversea Department, France]
250011
Île-de-France [Region: France]
250021
Champagne-Ardenne [Region: France]
250022
Picardy [Region: France]
250023
Upper Normandy [Region: France]
250024
Centre [Region: France]
250025
Lower Normandy [Region: France]
250026
Burgundy [Region: France]
250031
North Pas-de-Calais [Region: France]
250041
Lorraine [Region: France]
250042
Alsace [Region: France]
250043
Franche-Comté [Region: France]
250052
Loire Valley [Region: France]
250053
Brittany [Region: France]
250054
Poitou-Charentes [Region: France]
250072
Aquitaine [Region: France]
250073
Midi-Pyrénées [Region: France]
250074
Limousin [Region: France]
250082
Rhône-Alpes [Region: France]
250083
Auvergne [Region: France]
250091
Languedoc-Roussillon [Region: France]
250093
Provence-Alpes-Riviera [Region: France]
250094
Corsica [Region: France]
250999
Unknown [Region: France]
275001
Jenin [Governorate: Palestine]
275005
Tubas [Governorate: Palestine]
275010
Tulkarm [Governorate: Palestine]
275015
Nablus [Governorate: Palestine]
275020
Qalqiliya [Governorate: Palestine]
275025
Salfit [Governorate: Palestine]
275030
Ramallah and Al-Bireh [Governorate: Palestine]
275035
Jericho [Governorate: Palestine]
275040
Jerusalem [Governorate: Palestine]
275045
Bethlehem [Governorate: Palestine]
275050
Hebron [Governorate: Palestine]
275055
North Gaza [Governorate: Palestine]
275060
Gaza [Governorate: Palestine]
275065
Deir Al-Balah [Governorate: Palestine]
275070
Khan Yunis [Governorate: Palestine]
275075
Rafah [Governorate: Palestine]
276001
Schleswig-Holstein [State: Germany]
276002
Hamburg [State: Germany]
276003
Niedersachsen [State: Germany]
276004
Bremen [State: Germany]
276005
Nordrhein-Westfalen [State: Germany]
276006
Hessen [State: Germany]
276007
Rheinland-Pfalz [State: Germany]
276008
Baden-Württemberg [State: Germany]
276009
Bayern [State: Germany]
276010
Saarland [State: Germany]
276012
Brandenburg [State: Germany]
276013
Mecklenburg-West Pomerania [State: Germany]
276014
Saxony [State: Germany]
276015
Saxony-Anhalt [State: Germany]
276016
Thuringia [State: Germany]
276017
East Berlin [State: Germany]
276018
West Berlin [State: Germany]
276099
NIU (Not in universe) [State: Germany]
288001
Western [Region: Ghana]
288002
Central [Region: Ghana]
288003
Greater Accra [Region: Ghana]
288004
Volta [Region: Ghana]
288005
Eastern [Region: Ghana]
288006
Ashanti [Region: Ghana]
288007
Brong Ahafo [Region: Ghana]
288008
Northern [Region: Ghana]
288009
Upper East [Region: Ghana]
288010
Upper West [Region: Ghana]
300001
Etolia and Akarnania [Department: Greece]
300003
Viotia [Department: Greece]
300004
Evia [Department: Greece]
300005
Evrytania [Department: Greece]
300006
Fthiotida [Department: Greece]
300007
Fokida [Department: Greece]
300011
Argolida [Department: Greece]
300012
Arkadia [Department: Greece]
300013
Achaia [Department: Greece]
300014
Ilia [Department: Greece]
300015
Korinthia [Department: Greece]
300016
Lakonia [Department: Greece]
300017
Messinia [Department: Greece]
300021
Zakynthos [Department: Greece]
300022
Kerkyra [Department: Greece]
300023
Kefallinia [Department: Greece]
300024
Lefkada [Department: Greece]
300031
Arta [Department: Greece]
300032
Thesprotia [Department: Greece]
300033
Ioannina [Department: Greece]
300034
Preveza [Department: Greece]
300041
Karditsa [Department: Greece]
300042
Larissa [Department: Greece]
300043
Magnissia [Department: Greece]
300044
Trikala [Department: Greece]
300051
Grevena [Department: Greece]
300052
Drama [Department: Greece]
300053
Imathia [Department: Greece]
300054
Thessaloniki [Department: Greece]
300055
Kavala [Department: Greece]
300056
Kastoria [Department: Greece]
300057
Kilkis [Department: Greece]
300058
Kozani [Department: Greece]
300059
Pella [Department: Greece]
300061
Pieria [Department: Greece]
300062
Serres [Department: Greece]
300063
Florina [Department: Greece]
300064
Chalkidiki and Aghion Oros [Department: Greece]
300071
Evros [Department: Greece]
300072
Xanthi [Department: Greece]
300073
Rodopi [Department: Greece]
300081
Dodekanissos [Department: Greece]
300082
Kyklades [Department: Greece]
300083
Lesvos [Department: Greece]
300084
Samos [Department: Greece]
300085
Chios [Department: Greece]
300091
Iraklio [Department: Greece]
300092
Lassithi [Department: Greece]
300093
Rethymno [Department: Greece]
300094
Chania [Department: Greece]
300101
Prefecture of Athens [Department: Greece]
300102
Prefecture of East Attiki [Department: Greece]
300103
Prefecture of West Attiki [Department: Greece]
300104
Prefecture of Pireas [Department: Greece]
324001
Boké [Region: Guinea]
324002
Faranah [Region: Guinea]
324003
Kankan [Region: Guinea]
324004
Kindia, Labe, Mamou [Region: Guinea]
324007
N'zerekore [Region: Guinea]
324008
Conakry [Region: Guinea]
332003
Nord (North) and Nord'est (North East) [Department: Haiti]
332006
Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]
332007
Grand'Anse, Nippes, Sud (South) [Department: Haiti]
332009
Nord'Ouest (North West) [Department: Haiti]
356001
Jammu and Kashmir [State: India]
356002
Himachal Pradesh [State: India]
356003
Punjab [State: India]
356004
Chandigarh [State: India]
356006
Haryana [State: India]
356007
Delhi [State: India]
356008
Rajasthan [State: India]
356009
Uttar Pradesh and Uttaranchal [State: India]
356010
Bihar and Jharkhand [State: India]
356011
Sikkim [State: India]
356012
Arunachal Pradesh [State: India]
356013
Nagaland [State: India]
356014
Manipur [State: India]
356015
Mizoram [State: India]
356016
Tripura [State: India]
356017
Meghalaya [State: India]
356018
Assam [State: India]
356019
West Bengal [State: India]
356021
Orissa [State: India]
356023
Chhattisgarh and Madhya Pradesh [State: India]
356024
Gujarat [State: India]
356026
Dadra and Nagar Haveli [State: India]
356027
Maharashtra [State: India]
356028
Andhra Pradesh [State: India]
356029
Karnataka [State: India]
356030
Daman and Diu and Goa [State: India]
356031
Lakshadweep [State: India]
356032
Kerala [State: India]
356033
Tamil Nadu [State: India]
356034
Pondicherry [State: India]
356035
Andaman and Nicobar Islands [State: India]
360011
Nanggroe Aceh Darussalam [Province: Indonesia]
360012
Sumatera Utara [Province: Indonesia]
360013
Sumatera Barat [Province: Indonesia]
360014
Riau and Kepulauan Riau [Province: Indonesia]
360015
Jambi [Province: Indonesia]
360016
Sumatera Selatan and Bangka Belitung [Province: Indonesia]
360017
Bengkulu [Province: Indonesia]
360018
Lampung [Province: Indonesia]
360031
DKI Jakarta [Province: Indonesia]
360032
West Java and Banten [Province: Indonesia]
360033
Jawa Tengah [Province: Indonesia]
360034
DI Yogyakarta [Province: Indonesia]
360035
Jawa Timur [Province: Indonesia]
360051
Bali [Province: Indonesia]
360052
Nusa Tenggara Barat [Province: Indonesia]
360053
East Nusa Tenggara [Province: Indonesia]
360061
Kalimantan Barat [Province: Indonesia]
360062
Kalimantan Tengah [Province: Indonesia]
360063
Kalimantan Selatan [Province: Indonesia]
360064
Kalimantan Timur [Province: Indonesia]
360071
Sulawesi Utara and Gorontalo [Province: Indonesia]
360072
Sulawesi Tengah [Province: Indonesia]
360073
Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia]
360081
Maluku and Maluku Utara [Province: Indonesia]
360094
Papua and Papua Barat [Province: Indonesia]
364000
Markazi [Province: Iran]
364001
Gilan [Province: Iran]
364002
Mazandaran [Province: Iran]
364003
East Azarbayejan [Province: Iran]
364004
West Azarbayejan [Province: Iran]
364005
Kermanshah [Province: Iran]
364006
Khuzestan [Province: Iran]
364007
Fars [Province: Iran]
364008
Kerman [Province: Iran]
364009
Khorasan-e- Razavi [Province: Iran]
364010
Esfahan [Province: Iran]
364011
Sistan and Baluchestan [Province: Iran]
364012
Kordestan [Province: Iran]
364013
Hamedan [Province: Iran]
364014
Chaharmahal and Bakhtiyari [Province: Iran]
364015
Lorestan [Province: Iran]
364016
Ilam [Province: Iran]
364017
Kohgiluyeh and Boyerahmad [Province: Iran]
364018
Bushehr [Province: Iran]
364019
Zanjan [Province: Iran]
364020
Semnan [Province: Iran]
364021
Yazd [Province: Iran]
364022
Hormozgan [Province: Iran]
364023
Tehran [Province: Iran]
364024
Ardebil [Province: Iran]
364025
Qom [Province: Iran]
364026
Qazvin [Province: Iran]
364027
Golestan [Province: Iran]
364028
North Khorasan [Province: Iran]
364029
South Khorasan [Province: Iran]
368011
Dhok [Governorate: Iraq]
368012
Nineveh [Governorate: Iraq]
368013
Al-Sulaimaniya [Governorate: Iraq]
368014
Al-Tameem [Governorate: Iraq]
368015
Arbil [Governorate: Iraq]
368021
Diala [Governorate: Iraq]
368022
Al-Anbar [Governorate: Iraq]
368023
Baghdad [Governorate: Iraq]
368024
Babylon [Governorate: Iraq]
368025
Kerbela [Governorate: Iraq]
368026
Wasit [Governorate: Iraq]
368027
Salah Al-Deen [Governorate: Iraq]
368028
Al-Najaf [Governorate: Iraq]
368031
Al-Qadisiya [Governorate: Iraq]
368032
Al-Muthanna [Governorate: Iraq]
368033
Thi-Qar [Governorate: Iraq]
368034
Maysan [Governorate: Iraq]
368035
Al-Basrah [Governorate: Iraq]
372001
Border [Region: Ireland]
372002
Dublin [Region: Ireland]
372003
Mid-East [Region: Ireland]
372004
Midlands [Region: Ireland]
372005
Mid-West [Region: Ireland]
372006
South-East [Region: Ireland]
372007
South-West [Region: Ireland]
372008
West [Region: Ireland]
376001
Jerusalem [District: Israel]
376002
Northern [District: Israel]
376003
Haifa [District: Israel]
376004
Central [District: Israel]
376005
Tel-Aviv [District: Israel]
376006
Southern [District: Israel]
376009
Judea, Samaria, and Gaza areas [District: Israel]
380001
Piemonte-Valle d'Aosta [Region: Italy]
380003
Lombardia [Region: Italy]
380004
Trentino-Alto Adige [Region: Italy]
380005
Veneto [Region: Italy]
380006
Friuli-Venezia Giulia [Region: Italy]
380007
Liguria [Region: Italy]
380008
Emilia-Romagna [Region: Italy]
380009
Toscana [Region: Italy]
380010
Umbria [Region: Italy]
380011
Marche [Region: Italy]
380012
Lazio [Region: Italy]
380013
Abruzzo [Region: Italy]
380014
Molise [Region: Italy]
380015
Campania [Region: Italy]
380016
Puglia [Region: Italy]
380017
Basilicata [Region: Italy]
380018
Calabria [Region: Italy]
380019
Sicilia [Region: Italy]
380020
Sardegna [Region: Italy]
388001
Kingston [Parish: Jamaica]
388002
Saint Andrew [Parish: Jamaica]
388003
Saint Thomas [Parish: Jamaica]
388004
Portland [Parish: Jamaica]
388005
Saint Mary [Parish: Jamaica]
388006
Saint Ann [Parish: Jamaica]
388007
Trelawny [Parish: Jamaica]
388008
Saint James [Parish: Jamaica]
388009
Hanover [Parish: Jamaica]
388010
Westmoreland [Parish: Jamaica]
388011
Saint Elizabeth [Parish: Jamaica]
388012
Manchester [Parish: Jamaica]
388013
Clarendon [Parish: Jamaica]
388014
Saint Catherine [Parish: Jamaica]
400011
Amman [Governorate: Jordan]
400012
Balqa [Governorate: Jordan]
400013
Zarqa [Governorate: Jordan]
400014
Madaba [Governorate: Jordan]
400021
Irbid [Governorate: Jordan]
400022
Mafraq [Governorate: Jordan]
400023
Jarash [Governorate: Jordan]
400024
Ajlun [Governorate: Jordan]
400031
Karak [Governorate: Jordan]
400032
Tafilah [Governorate: Jordan]
400033
Ma'an [Governorate: Jordan]
400034
Aqaba [Governorate: Jordan]
404001
Nairobi [Province: Kenya]
404002
Central Province [Province: Kenya]
404003
Coast Province [Province: Kenya]
404004
Eastern Province [Province: Kenya]
404005
North-Eastern Province [Province: Kenya]
404006
Nyanza Province [Province: Kenya]
404007
Rift Valley Province [Province: Kenya]
404008
Western Province [Province: Kenya]
417001
Gorkenesh Bishkek [Region: Kyrgyz Republic]
417002
Issyk-Kul [Region: Kyrgyz Republic]
417003
Dzhalal-Abad [Region: Kyrgyz Republic]
417004
Naryn [Region: Kyrgyz Republic]
417005
Batken [Region: Kyrgyz Republic]
417006
Oshskaya [Region: Kyrgyz Republic]
417007
Talasskaya [Region: Kyrgyz Republic]
417008
Chuya [Region: Kyrgyz Republic]
430006
Bong [County: Liberia]
430009
Grand Bassa and Rivercess [County: Liberia]
430012
Grand Cape Mount [County: Liberia]
430015
Grand Gedeh and River Gee [County: Liberia]
430021
Lofa and Gbarpolu [County: Liberia]
430027
Maryland and Grand Kru [County: Liberia]
430030
Montserrado, Bomi, and Margibi [County: Liberia]
430033
Nimba [County: Liberia]
430039
Sinoe [County: Liberia]
454101
Chitipa [District: Malawi]
454102
Karonga [District: Malawi]
454103
Nkhata Bay, Likoma [District: Malawi]
454104
Rumphi [District: Malawi]
454105
Mzimba, Mzuzu city [District: Malawi]
454201
Kasungu [District: Malawi]
454202
Nkhota Kota [District: Malawi]
454203
Ntchisi [District: Malawi]
454204
Dowa [District: Malawi]
454205
Salima [District: Malawi]
454206
Lilongwe [District: Malawi]
454207
Mchinji [District: Malawi]
454208
Dedza [District: Malawi]
454209
Ntcheu [District: Malawi]
454301
Mangochi [District: Malawi]
454302
Machinga [District: Malawi]
454303
Zomba [District: Malawi]
454304
Chiradzulu [District: Malawi]
454305
Blantyre [District: Malawi]
454307
Thyolo [District: Malawi]
454308
Mulanje [District: Malawi]
454310
Chikwawa [District: Malawi]
454311
Nsanje [District: Malawi]
454313
Mwanza, Neno [District: Malawi]
458001
Johor [State: Malaysia]
458002
Kedah [State: Malaysia]
458003
Kelantan [State: Malaysia]
458004
Melaka [State: Malaysia]
458005
Negeri Sembilan [State: Malaysia]
458006
Pahang [State: Malaysia]
458007
Pulau Pinang [State: Malaysia]
458008
Perak [State: Malaysia]
458009
Perlis [State: Malaysia]
458010
Selangor and Kuala Lumpur Federal Territory [State: Malaysia]
458011
Terengganu [State: Malaysia]
458012
Sabah and Labuan Federal Territory [State: Malaysia]
458013
Sarawak [State: Malaysia]
466001
Kayes [Region: Mali]
466002
Koulikoro [Region: Mali]
466003
Sikasso [Region: Mali]
466004
Ségou [Region: Mali]
466005
Mopti [Region: Mali]
466006
Tombouctou [Region: Mali]
466007
Gao and Kidal [Region: Mali]
466009
Bamako [Region: Mali]
466099
Unknown [Region: Mali]
484001
Aguascalientes [State: Meico]
484002
Baja California [State: Meico]
484003
Baja California Sur [State: Meico]
484004
Campeche [State: Meico]
484005
Coahuila [State: Meico]
484006
Colima [State: Meico]
484007
Chiapas [State: Meico]
484008
Chihuahua [State: Meico]
484009
Distrito Federal [State: Meico]
484010
Durango [State: Meico]
484011
Guanajuato [State: Meico]
484012
Guerrero [State: Meico]
484013
Hidalgo [State: Meico]
484014
Jalisco [State: Meico]
484015
México [State: Meico]
484016
Michoacán [State: Meico]
484017
Morelos [State: Meico]
484018
Nayarit [State: Meico]
484019
Nuevo León [State: Meico]
484020
Oaxaca [State: Meico]
484021
Puebla [State: Meico]
484022
Querétaro [State: Meico]
484023
Quintana Roo [State: Meico]
484024
San Luis Potosí [State: Meico]
484025
Sinaloa [State: Meico]
484026
Sonora [State: Meico]
484027
Tabasco [State: Meico]
484028
Tamaulipas [State: Meico]
484029
Tlaxcala [State: Meico]
484030
Veracruz [State: Meico]
484031
Yucatán [State: Meico]
484032
Zacatecas [State: Meico]
496001
Arkhangai [Province: Mongolia]
496002
Bayan-Ölgii [Province: Mongolia]
496003
Bayankhongor [Province: Mongolia]
496004
Bulgan [Province: Mongolia]
496005
Govi-Altai [Province: Mongolia]
496006
Dornogovi [Province: Mongolia]
496007
Dornod [Province: Mongolia]
496008
Dundgovi and Govisumber [Province: Mongolia]
496009
Zavkhan [Province: Mongolia]
496010
Övörkhangai [Province: Mongolia]
496011
Ömnögovi [Province: Mongolia]
496012
Sükhbaatar [Province: Mongolia]
496013
Selenge [Province: Mongolia]
496014
Töv [Province: Mongolia]
496015
Uvs [Province: Mongolia]
496016
Khovd [Province: Mongolia]
496017
Khövsgöl [Province: Mongolia]
496018
Khentii [Province: Mongolia]
496019
Darkhan-Uul [Province: Mongolia]
496020
Ulaanbaatar [Province: Mongolia]
496021
Orkhon [Province: Mongolia]
504001
Oued-Ed-Dahab-Lagouira [Region: Morocco]
504002
Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco]
504003
Guelmin-Es-Samara [Region: Morocco]
504004
Souss-Massa-Draâ [Region: Morocco]
504005
Charb-Chrarda-Béni Hssen [Region: Morocco]
504006
Chaouia-Ouardigha [Region: Morocco]
504007
Marrakech-Tensift-Al Haouz [Region: Morocco]
504008
Oriental [Region: Morocco]
504009
Grand-Casablanca [Region: Morocco]
504010
Rabat-Salé-Zemmour-Zaer [Region: Morocco]
504011
Doukala Abda [Region: Morocco]
504012
Tadla Azilal [Region: Morocco]
504013
Meknès-Tafilalet [Region: Morocco]
504014
Fès-Boulemane [Region: Morocco]
504015
Taza-Al Heiceima-Taounate [Region: Morocco]
504016
Tanger-Tétouan [Region: Morocco]
508001
Niassa [Province: Mozambique]
508002
Cabo Delgado [Province: Mozambique]
508003
Nampula [Province: Mozambique]
508004
Zambézia [Province: Mozambique]
508005
Tete [Province: Mozambique]
508006
Manica [Province: Mozambique]
508007
Sofala [Province: Mozambique]
508008
Inhambane [Province: Mozambique]
508009
Gaza [Province: Mozambique]
508010
Maputo province [Province: Mozambique]
508011
Maputo city [Province: Mozambique]
524001
Mechi [Administrative zone: Nepal]
524002
Koshi [Administrative zone: Nepal]
524003
Sagarmatha [Administrative zone: Nepal]
524004
Janakpur [Administrative zone: Nepal]
524005
Bagmati [Administrative zone: Nepal]
524006
Narayani [Administrative zone: Nepal]
524007
Gandaki [Administrative zone: Nepal]
524008
Dhawalagiri [Administrative zone: Nepal]
524009
Lumbini [Administrative zone: Nepal]
524010
Rapti [Administrative zone: Nepal]
524011
Bheri [Administrative zone: Nepal]
524012
Karnali [Administrative zone: Nepal]
524013
Seti [Administrative zone: Nepal]
524014
Mahakali [Administrative zone: Nepal]
558005
Nueva Segovia [Department: Nicaragua]
558010
Jinotega [Department: Nicaragua]
558020
Madríz [Department: Nicaragua]
558030
Chinandega [Department: Nicaragua]
558035
Leon and Esteli [Department: Nicaragua]
558040
Matagalpa [Department: Nicaragua]
558050
Boaco [Department: Nicaragua]
558055
Managua [Department: Nicaragua]
558060
Masaya [Department: Nicaragua]
558065
Chontales [Department: Nicaragua]
558070
Granada [Department: Nicaragua]
558075
Carazo [Department: Nicaragua]
558080
Rivas [Department: Nicaragua]
558085
Río San Juan [Department: Nicaragua]
558093
Atlántico Norte and Atlántico Sur [Department: Nicaragua]
558099
Unknown [Department: Nicaragua]
566001
Abia [State: Nigeria]
566002
Adamawa [State: Nigeria]
566003
Akwa Ibom [State: Nigeria]
566004
Anambra [State: Nigeria]
566005
Bauchi [State: Nigeria]
566006
Bayelsa [State: Nigeria]
566007
Benue [State: Nigeria]
566008
Borno [State: Nigeria]
566009
Cross River [State: Nigeria]
566010
Delta [State: Nigeria]
566011
Ebonyi [State: Nigeria]
566012
Edo [State: Nigeria]
566013
Ekiti [State: Nigeria]
566014
Enugu [State: Nigeria]
566015
Gombe [State: Nigeria]
566016
Imo [State: Nigeria]
566017
Jigawa [State: Nigeria]
566018
Kaduna [State: Nigeria]
566019
Kano [State: Nigeria]
566020
Katsina [State: Nigeria]
566021
Kebbi [State: Nigeria]
566022
Kogi [State: Nigeria]
566023
Kwara [State: Nigeria]
566024
Lagos [State: Nigeria]
566025
Nasarawa [State: Nigeria]
566026
Niger [State: Nigeria]
566027
Ogun [State: Nigeria]
566028
Ondo [State: Nigeria]
566029
Osun [State: Nigeria]
566030
Oyo [State: Nigeria]
566031
Plateau [State: Nigeria]
566032
Rivers [State: Nigeria]
566033
Sokoto [State: Nigeria]
566034
Taraba [State: Nigeria]
566035
Yobe [State: Nigeria]
566036
Zamfara [State: Nigeria]
566037
Federal Capital Territory Abuja [State: Nigeria]
566099
Unknown [State: Nigeria]
586001
North-West Frontier Province [Province: Pakistan]
586002
Fata [Province: Pakistan]
586003
Punjab, Islamabad [Province: Pakistan]
586004
Sind [Province: Pakistan]
586005
Baluchistan [Province: Pakistan]
586007
Northern areas [Province: Pakistan]
586008
Kashmir [Province: Pakistan]
591002
Coclé [Province: Panama]
591003
Colón, Comarca Kuna Yala (San Blas) [Province: Panama]
591004
Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama]
591005
Comarca Emberá, Darién [Province: Panama]
591006
Herrera [Province: Panama]
591007
Los Santos [Province: Panama]
591008
Panamá [Province: Panama]
600000
Asunción [Department: Paraguay]
600001
Concepción [Department: Paraguay]
600002
San Pedro [Department: Paraguay]
600007
Itapúa [Department: Paraguay]
600008
Misiones and Ñeembucú [Department: Paraguay]
600009
Guairá, Caazapá, and Paraguarí [Department: Paraguay]
600010
Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay]
600011
Central [Department: Paraguay]
600013
Amambay [Department: Paraguay]
600015
Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay]
600099
Unknown [Department: Paraguay]
604001
Amazonas [Region: Peru]
604002
Ancash [Region: Peru]
604003
Apurímac [Region: Peru]
604004
Arequipa [Region: Peru]
604005
Ayacucho [Region: Peru]
604006
Cajamarca [Region: Peru]
604007
Callao [Region: Peru]
604008
Cusco [Region: Peru]
604009
Huancavelica [Region: Peru]
604010
Huánuco [Region: Peru]
604011
Ica [Region: Peru]
604012
Junín [Region: Peru]
604013
La Libertad [Region: Peru]
604014
Lambayeque [Region: Peru]
604015
Lima [Region: Peru]
604016
Loreto [Region: Peru]
604017
Madre de Dios [Region: Peru]
604018
Moquegua [Region: Peru]
604019
Pasco [Region: Peru]
604020
Piura [Region: Peru]
604021
Puno [Region: Peru]
604022
San Martín [Region: Peru]
604023
Tacna [Region: Peru]
604024
Tumbes [Region: Peru]
604025
Ucayali [Region: Peru]
608001
Ilocos [Region: Philippines]
608002
Cagayan Valley [Region: Philippines]
608003
Central Luzon [Region: Philippines]
608004
Southern Tagalog [Region: Philippines]
608005
Bicol [Region: Philippines]
608006
Western Visayas [Region: Philippines]
608007
Central Visayas [Region: Philippines]
608008
Eastern Visayas [Region: Philippines]
608009
Western Mindanao [Region: Philippines]
608011
Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines]
608012
Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines]
608013
National Capital Region [Region: Philippines]
608014
Cordillera Administrative Region [Region: Philippines]
620111
Minho-Lima [Subregion: Portugal]
620112
Cávado [Subregion: Portugal]
620113
Ave [Subregion: Portugal]
620114
Grande Porto [Subregion: Portugal]
620115
Tâmega [Subregion: Portugal]
620116
Entre Douro e Vouga [Subregion: Portugal]
620117
Douro [Subregion: Portugal]
620118
Alto Trás-os-Montes [Subregion: Portugal]
620150
Algarve [Subregion: Portugal]
620161
Baixo Vouga [Subregion: Portugal]
620162
Baixo Mondego [Subregion: Portugal]
620163
Pinhal Litoral [Subregion: Portugal]
620165
Dão-Lafões [Subregion: Portugal]
620166
Oeste [Subregion: Portugal]
620167
Médio Tejo [Subregion: Portugal]
620169
Other Center [Subregion: Portugal]
620171
Grande Lisboa [Subregion: Portugal]
620172
Península de Setúbal [Subregion: Portugal]
620185
Lezíria do Tejo [Subregion: Portugal]
620189
Other Alentejo [Subregion: Portugal]
620200
Região Autónoma dos Açores [Subregion: Portugal]
620300
Região Autónoma da Madeira [Subregion: Portugal]
630101
G7201001 [PUMA: Puerto Rico]
630104
G7201002, G7201003, G7201004 [PUMA: Puerto Rico]
630110
G7201100 [PUMA: Puerto Rico]
630180
G7201800 [PUMA: Puerto Rico]
630200
G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico]
630250
G7202500 [PUMA: Puerto Rico]
642001
Alba [County: Romania]
642002
Arad [County: Romania]
642003
Arges [County: Romania]
642004
Bacau [County: Romania]
642005
Bihor [County: Romania]
642006
Bistrita Nasaud [County: Romania]
642007
Botosani [County: Romania]
642008
Brasov [County: Romania]
642009
Braila [County: Romania]
642010
Buzau [County: Romania]
642011
Caras Severin [County: Romania]
642012
Cluj [County: Romania]
642013
Constanta [County: Romania]
642014
Covasna [County: Romania]
642015
Dimbovita [County: Romania]
642016
Dolj [County: Romania]
642017
Galati [County: Romania]
642018
Gorj [County: Romania]
642019
Harghita [County: Romania]
642020
Hunedoara [County: Romania]
642022
Iasi [County: Romania]
642024
Maramures [County: Romania]
642025
Mehedinti [County: Romania]
642026
Mures [County: Romania]
642027
Neamt [County: Romania]
642028
Olt [County: Romania]
642029
Prahova [County: Romania]
642030
Satu Mare [County: Romania]
642031
Salaj [County: Romania]
642032
Sibiu [County: Romania]
642033
Suceava [County: Romania]
642034
Teleorman [County: Romania]
642035
Timis [County: Romania]
642036
Tulcea [County: Romania]
642037
Vaslui [County: Romania]
642038
Valcea [County: Romania]
642039
Vrancea [County: Romania]
642043
Bucharest Sector 1 to 6 [County: Romania]
642051
Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]
646001
Kigali City [Province: Rwanda]
646002
Kigali Ngali [Province: Rwanda]
646004
Gitarama [Province: Rwanda]
646005
Butare [Province: Rwanda]
646006
Gikongoro [Province: Rwanda]
646007
Cyangugu [Province: Rwanda]
646008
Kibuye [Province: Rwanda]
646009
Gisenyi [Province: Rwanda]
646010
Ruhengeri [Province: Rwanda]
646012
Byumba, Kibungo and Umutara [Province: Rwanda]
686001
Dakar [Region: Senegal]
686002
Diourbel [Region: Senegal]
686003
Fatick [Region: Senegal]
686004
Kaolack [Region: Senegal]
686005
Kolda [Region: Senegal]
686008
Louga, Saint Louis, Matam [Region: Senegal]
686009
Tambacounda [Region: Senegal]
686010
Thiès [Region: Senegal]
686011
Ziguinchor [Region: Senegal]
694011
Kailahun [District: Sierra Leone]
694012
Kenema [District: Sierra Leone]
694013
Kono [District: Sierra Leone]
694021
Bombali [District: Sierra Leone]
694022
Kambia [District: Sierra Leone]
694023
Koinadugu [District: Sierra Leone]
694024
Port Loko [District: Sierra Leone]
694025
Tonkolili [District: Sierra Leone]
694031
Bo [District: Sierra Leone]
694032
Bonthe [District: Sierra Leone]
694033
Moyamba [District: Sierra Leone]
694034
Pujehun [District: Sierra Leone]
694041
Western - rural [District: Sierra Leone]
694042
Western - urban [District: Sierra Leone]
704001
Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam]
704002
Ha Giang and Tuyen Quang [Province: Vietnam]
704004
Cao Bang [Province: Vietnam]
704014
Son La [Province: Vietnam]
704015
Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam]
704019
Bac Kan and Thai Nguyen [Province: Vietnam]
704020
Lang Son [Province: Vietnam]
704022
Quang Ninh [Province: Vietnam]
704024
Bac Giang, and Bac Ninh [Province: Vietnam]
704030
Hai Duong and Hung Yen [Province: Vietnam]
704031
Hai Phong [Province: Vietnam]
704034
Thai Binh [Province: Vietnam]
704038
Thanh Hoa [Province: Vietnam]
704040
Nghe An and Ha Tinh [Province: Vietnam]
704046
Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam]
704049
Da Nang and Quang Nam [Province: Vietnam]
704051
Binh Dinh and Quang Ngai [Province: Vietnam]
704054
Phu Yen and Khanh Hoa [Province: Vietnam]
704060
Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam]
704062
Gia Lai and Kon Tum [Province: Vietnam]
704066
Dak Lak and Dak Nong [Province: Vietnam]
704068
Lam Dong [Province: Vietnam]
704072
Tay Ninh [Province: Vietnam]
704074
Binh Duong and Binh Phuoc [Province: Vietnam]
704075
Dong Nai and Ba Ria - Vung Tau [Province: Vietnam]
704079
Ho Chi Minh City [Province: Vietnam]
704080
Long An [Province: Vietnam]
704082
Tien Giang [Province: Vietnam]
704083
Ben Tre [Province: Vietnam]
704086
Vinh Long and Tra Vinh [Province: Vietnam]
704087
Dong Thap [Province: Vietnam]
704089
An Giang [Province: Vietnam]
704091
Kien Giang [Province: Vietnam]
704094
Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam]
704096
Bac Lieu and Ca Mau [Province: Vietnam]
705001
Pomurska [Region: Slovenia]
705002
Podravska [Region: Slovenia]
705003
Koroška [Region: Slovenia]
705004
Savinjska [Region: Slovenia]
705005
Zasavska [Region: Slovenia]
705006
Spodnjeposavska [Region: Slovenia]
705007
Jugovzhodna Slovenija [Region: Slovenia]
705008
Osrednjeslovenska [Region: Slovenia]
705009
Gorenjska [Region: Slovenia]
705010
Notranjsko-kraška [Region: Slovenia]
705011
Goriška [Region: Slovenia]
705012
Obalno-kraška [Region: Slovenia]
705099
Unknown [Region: Slovenia]
710001
Western Cape [Province: South Africa]
710004
Free State [Province: South Africa]
710005
Eastern Cape, KwaZulu-Natal [Province: South Africa]
710007
Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]
710999
Unknown [Province: South Africa]
724011
Galicia [Communities and Autonomous Cities: Spain]
724012
Principado de Asturias [Communities and Autonomous Cities: Spain]
724013
Cantabria [Communities and Autonomous Cities: Spain]
724021
País Vasco [Communities and Autonomous Cities: Spain]
724022
Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain]
724023
La Rioja [Communities and Autonomous Cities: Spain]
724024
Aragón [Communities and Autonomous Cities: Spain]
724030
Comunidad de Madrid [Communities and Autonomous Cities: Spain]
724041
Castilla y León [Communities and Autonomous Cities: Spain]
724042
Castilla-La Mancha [Communities and Autonomous Cities: Spain]
724043
Extremadura [Communities and Autonomous Cities: Spain]
724051
Cataluña [Communities and Autonomous Cities: Spain]
724052
Comunidad Valenciana [Communities and Autonomous Cities: Spain]
724053
Illes Balears [Communities and Autonomous Cities: Spain]
724061
Andalucía [Communities and Autonomous Cities: Spain]
724062
Región de Murcia [Communities and Autonomous Cities: Spain]
724063
Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain]
724064
Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain]
724070
Canarias [Communities and Autonomous Cities: Spain]
724099
Unknown [Communities and Autonomous Cities: Spain]
728071
Upper Nile [State: South Sudan]
728072
Jonglei [State: South Sudan]
728073
Unity [State: South Sudan]
728081
Warrap [State: South Sudan]
728082
Northern Bahr El Ghazal [State: South Sudan]
728083
Western Bahr El Ghazal [State: South Sudan]
728084
Lakes [State: South Sudan]
728091
Western Equatoria [State: South Sudan]
728092
Central Equatoria [State: South Sudan]
728093
Eastern Equatoria [State: South Sudan]
729011
Northern [State: Sudan]
729012
Nahr El Nil [State: Sudan]
729021
Red Sea [State: Sudan]
729022
Kassala [State: Sudan]
729023
Al Gedarif [State: Sudan]
729031
Khartoum [State: Sudan]
729041
Al Gezira [State: Sudan]
729042
White Nile [State: Sudan]
729043
Sinnar [State: Sudan]
729044
Blue Nile [State: Sudan]
729051
North Kordofan [State: Sudan]
729052
South Kordofan [State: Sudan]
729061
North Darfur [State: Sudan]
729062
West Darfur [State: Sudan]
729063
South Darfur [State: Sudan]
756001
Zurich [Canton: Switzerland]
756002
Bern [Canton: Switzerland]
756003
Luzern (Lucerne) [Canton: Switzerland]
756004
Uri [Canton: Switzerland]
756005
Schwyz [Canton: Switzerland]
756006
Obwalden (Obwald) [Canton: Switzerland]
756007
Nidwalden (Nidwald) [Canton: Switzerland]
756008
Glarus [Canton: Switzerland]
756009
Zug [Canton: Switzerland]
756010
Fribourg [Canton: Switzerland]
756011
Solothurn [Canton: Switzerland]
756012
Basel-Stadt (Basel-City) [Canton: Switzerland]
756013
Basel-Landschaft (Basel-Country) [Canton: Switzerland]
756014
Schaffhausen [Canton: Switzerland]
756015
Outer and Inner Rhodes [Canton: Switzerland]
756017
St. Gallen (St. Gall) [Canton: Switzerland]
756018
Graubundun (Grisons) [Canton: Switzerland]
756019
Aargau (Argovia) [Canton: Switzerland]
756020
Thurgau (Thurgovia) [Canton: Switzerland]
756021
Ticino [Canton: Switzerland]
756022
Vaud [Canton: Switzerland]
756023
Valais [Canton: Switzerland]
756024
Neuchatel [Canton: Switzerland]
756025
Geneva [Canton: Switzerland]
756026
Jura [Canton: Switzerland]
764010
Bangkok [Province: Thailand]
764011
Samut Prakan [Province: Thailand]
764012
Nonthaburi [Province: Thailand]
764013
Pathum Thani [Province: Thailand]
764014
Phra Nakhon si Ayutthaya [Province: Thailand]
764015
Ang Thong [Province: Thailand]
764016
Lop Buri [Province: Thailand]
764017
Sing Buri [Province: Thailand]
764018
Chai Nat [Province: Thailand]
764019
Prachin Buri and Sa Kaeo [Province: Thailand]
764020
Chon Buri [Province: Thailand]
764021
Rayong [Province: Thailand]
764022
Chanthaburi [Province: Thailand]
764023
Trat [Province: Thailand]
764024
Chachoengsao [Province: Thailand]
764026
Nakhon Nayok [Province: Thailand]
764027
Saraburi [Province: Thailand]
764030
Nakhon Ratchasima [Province: Thailand]
764031
Buri Ram [Province: Thailand]
764032
Surin [Province: Thailand]
764033
Si Sa Ket [Province: Thailand]
764034
Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand]
764036
Chaiyaphum [Province: Thailand]
764040
Khon Kaen [Province: Thailand]
764041
Udon Thani and Nong Bua Lam Phu [Province: Thailand]
764042
Loei [Province: Thailand]
764043
Nong Khai [Province: Thailand]
764044
Maha Sarakham [Province: Thailand]
764045
Roi Et [Province: Thailand]
764046
Kalasin [Province: Thailand]
764047
Sakon Nakhon [Province: Thailand]
764048
Nakhon Phanom and Mukdahan [Province: Thailand]
764050
Chiang Mai [Province: Thailand]
764051
Lamphun [Province: Thailand]
764052
Lampang [Province: Thailand]
764053
Uttaradit [Province: Thailand]
764054
Phrae [Province: Thailand]
764055
Nan [Province: Thailand]
764057
Chiang Rai and Phayao [Province: Thailand]
764058
Mae Hong Son [Province: Thailand]
764060
Nakhon Sawan [Province: Thailand]
764061
Uthai Thani [Province: Thailand]
764062
Kamphaeng Phet [Province: Thailand]
764063
Tak [Province: Thailand]
764064
Sukhothai [Province: Thailand]
764065
Phitsanulok [Province: Thailand]
764066
Phichit [Province: Thailand]
764067
Phetchabun [Province: Thailand]
764070
Ratchaburi [Province: Thailand]
764071
Kanchanaburi [Province: Thailand]
764072
Suphanburi [Province: Thailand]
764073
Nakhon Pathom [Province: Thailand]
764074
Samut Sakhon [Province: Thailand]
764075
Samut Songkhram [Province: Thailand]
764076
Phetchaburi [Province: Thailand]
764077
Prachuap Khiri Khan [Province: Thailand]
764080
Nakhon Si Thammarat [Province: Thailand]
764081
Krabi [Province: Thailand]
764082
Phangnga [Province: Thailand]
764083
Phuket [Province: Thailand]
764084
Surat Thani [Province: Thailand]
764085
Ranong [Province: Thailand]
764086
Chumphon [Province: Thailand]
764090
Songkhla [Province: Thailand]
764091
Satun [Province: Thailand]
764092
Trang [Province: Thailand]
764093
Phatthalung [Province: Thailand]
764094
Pattani [Province: Thailand]
764095
Yala [Province: Thailand]
764096
Narathiwat [Province: Thailand]
792001
Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey]
792002
Adiyaman [Province: Turkey]
792003
Afyon [Province: Turkey]
792004
Agri [Province: Turkey]
792005
Amasya [Province: Turkey]
792006
Ankara and Kirikkale [Province: Turkey]
792007
Antalya [Province: Turkey]
792008
Artvin [Province: Turkey]
792009
Aydin [Province: Turkey]
792010
Balikesir [Province: Turkey]
792011
Bilecik [Province: Turkey]
792012
Bingöl [Province: Turkey]
792013
Bitlis [Province: Turkey]
792014
Bolu and Düzce [Province: Turkey]
792015
Burdur [Province: Turkey]
792017
Çanakkale [Province: Turkey]
792019
Çorum [Province: Turkey]
792020
Denizli [Province: Turkey]
792021
Diyarbakir [Province: Turkey]
792022
Edirne [Province: Turkey]
792023
Elazig [Province: Turkey]
792024
Erzincan [Province: Turkey]
792025
Erzurum [Province: Turkey]
792026
Eskisehir [Province: Turkey]
792028
Giresun [Province: Turkey]
792029
Gümüshane and Bayburt [Province: Turkey]
792031
Hatay [Province: Turkey]
792032
Isparta [Province: Turkey]
792033
Mersin (içel) [Province: Turkey]
792034
Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey]
792035
Izmir [Province: Turkey]
792036
Kars, Ardahan and Igdir [Province: Turkey]
792037
Kastamonu [Province: Turkey]
792038
Kayseri [Province: Turkey]
792039
Kirklareli [Province: Turkey]
792040
Kirsehir [Province: Turkey]
792042
Konya and Karaman [Province: Turkey]
792043
Kütahya [Province: Turkey]
792044
Malatya [Province: Turkey]
792045
Manisa [Province: Turkey]
792046
Kahramanmaras [Province: Turkey]
792047
Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey]
792048
Mugla [Province: Turkey]
792049
Mus [Province: Turkey]
792050
Nevsehir [Province: Turkey]
792051
Nigde and Aksaray [Province: Turkey]
792052
Ordu [Province: Turkey]
792053
Rize [Province: Turkey]
792054
Sakarya [Province: Turkey]
792055
Samsun [Province: Turkey]
792057
Sinop [Province: Turkey]
792058
Sivas [Province: Turkey]
792059
Tekirdag [Province: Turkey]
792060
Tokat [Province: Turkey]
792061
Trabzon [Province: Turkey]
792062
Tunceli [Province: Turkey]
792063
Sanliurfa [Province: Turkey]
792064
Usak [Province: Turkey]
792065
Van [Province: Turkey]
792066
Yozgat [Province: Turkey]
792067
Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey]
800101
Kalangala [District: Uganda]
800102
Kampala [District: Uganda]
800103
Kiboga [District: Uganda]
800104
Luwero and Nakasongola [District: Uganda]
800105
Masaka and Sembabule [District: Uganda]
800107
Mubende [District: Uganda]
800108
Mukono and Kayunga [District: Uganda]
800110
Rakai [District: Uganda]
800113
Mpigi and Wakiso [District: Uganda]
800203
Iganga, Buguri, and Mayuge [District: Uganda]
800204
Jinja [District: Uganda]
800205
Kamuli [District: Uganda]
800206
Kapchorwa [District: Uganda]
800208
Kumi [District: Uganda]
800209
Mbale and Sironko [District: Uganda]
800210
Pallisa [District: Uganda]
800211
Soroti, Katakwi, and Kaberamaido [District: Uganda]
800212
Busia and Tororo [District: Uganda]
800301
Moyo and Adjumani [District: Uganda]
800302
Apac [District: Uganda]
800303
Arua and Yumbe [District: Uganda]
800304
Gulu [District: Uganda]
800306
Kotido [District: Uganda]
800307
Lira [District: Uganda]
800308
Moroto and Nakapiripirit [District: Uganda]
800310
Nebbi [District: Uganda]
800312
Kitgum and Pader [District: Uganda]
800401
Bundibugyo [District: Uganda]
800403
Hoima [District: Uganda]
800404
Kabale [District: Uganda]
800405
Kabarole, Kamwenge, and Kyenjojo [District: Uganda]
800406
Kasese [District: Uganda]
800407
Kibaale [District: Uganda]
800408
Kisoro [District: Uganda]
800409
Masindi [District: Uganda]
800410
Bushenyi, Mbarara, and Ntungamo [District: Uganda]
800412
Rukungiri and Kanungu [District: Uganda]
800999
Unknown [District: Uganda]
804001
The Autonomous Republic of Crimea [Region: Ukraine]
804005
Vinnytska oblast [Region: Ukraine]
804007
Volynska oblast [Region: Ukraine]
804012
Dnipropetrovska oblast [Region: Ukraine]
804014
Donetska oblast [Region: Ukraine]
804018
Zhytomyrska oblast [Region: Ukraine]
804021
Zakarpatska oblast [Region: Ukraine]
804023
Zaporizka oblast [Region: Ukraine]
804026
Ivano-Frankivska oblast [Region: Ukraine]
804032
Kyivska oblast [Region: Ukraine]
804035
Kirovohradska oblast [Region: Ukraine]
804044
Luhanska oblast [Region: Ukraine]
804046
Lvivska oblast [Region: Ukraine]
804048
Mykolaivska oblast [Region: Ukraine]
804051
Odeska oblast [Region: Ukraine]
804053
Poltavska oblast [Region: Ukraine]
804056
Rivnenska oblast [Region: Ukraine]
804059
Sumska oblast [Region: Ukraine]
804061
Ternopilska oblast [Region: Ukraine]
804063
Kharkivska oblast [Region: Ukraine]
804065
Khersonska oblast [Region: Ukraine]
804068
Khmelnytska oblast [Region: Ukraine]
804071
Cherkaska oblast [Region: Ukraine]
804073
Chernivetska oblast [Region: Ukraine]
804074
Chernihivska oblast [Region: Ukraine]
804080
Kyiv [Region: Ukraine]
804085
Sevastopol [Region: Ukraine]
818001
Cairo [Governorate: Egypt]
818002
Alexandria [Governorate: Egypt]
818003
Port Said [Governorate: Egypt]
818004
Suez [Governorate: Egypt]
818011
Damietta [Governorate: Egypt]
818012
Dakahlia [Governorate: Egypt]
818013
Sharkia [Governorate: Egypt]
818014
Kaliobia [Governorate: Egypt]
818015
Kafr Sheikh [Governorate: Egypt]
818016
Gharbia [Governorate: Egypt]
818017
Menoufia [Governorate: Egypt]
818018
Behera [Governorate: Egypt]
818019
Ismailia [Governorate: Egypt]
818021
Giza [Governorate: Egypt]
818022
Bani Swif [Governorate: Egypt]
818023
Fayoum [Governorate: Egypt]
818024
Menia [Governorate: Egypt]
818025
Asiut [Governorate: Egypt]
818026
Sohag [Governorate: Egypt]
818027
Qena [Governorate: Egypt]
818028
Aswan [Governorate: Egypt]
818029
Luxor [Governorate: Egypt]
818031
Red Sea [Governorate: Egypt]
818032
New Valley [Governorate: Egypt]
818033
Marsa Matroh [Governorate: Egypt]
818034
North Sinai [Governorate: Egypt]
818035
South Sinai [Governorate: Egypt]
826011
North East [Region: United Kingdom]
826013
North West [Region: United Kingdom]
826014
Yorkshire and the Humber [Region: United Kingdom]
826021
East Midlands [Region: United Kingdom]
826022
West Midlands [Region: United Kingdom]
826031
East of England [Region: United Kingdom]
826032
South East and London [Region: United Kingdom]
826040
South West [Region: United Kingdom]
826060
Scotland [Region: United Kingdom]
826070
Wales [Region: United Kingdom]
826080
Northern Ireland [Region: United Kingdom]
834001
Dodoma [Region: Tanzania]
834003
Kilimanjaro [Region: Tanzania]
834004
Tanga [Region: Tanzania]
834005
Morogoro [Region: Tanzania]
834006
Pwani [Region: Tanzania]
834007
Dar es Salaam [Region: Tanzania]
834008
Lindi [Region: Tanzania]
834009
Mtwara [Region: Tanzania]
834010
Ruvumba [Region: Tanzania]
834011
Iringa [Region: Tanzania]
834012
Mbeya [Region: Tanzania]
834013
Singida [Region: Tanzania]
834014
Tabora [Region: Tanzania]
834015
Rukwa [Region: Tanzania]
834016
Kigoma [Region: Tanzania]
834017
Shinyanga [Region: Tanzania]
834018
Kagera [Region: Tanzania]
834019
Mwanza [Region: Tanzania]
834020
Mara [Region: Tanzania]
834021
Arusha and Manyara [Region: Tanzania]
834051
Zanzibar North [Region: Tanzania]
834052
Zanzibar South [Region: Tanzania]
834053
Zanzibar Town/West [Region: Tanzania]
834054
Pemba North [Region: Tanzania]
834055
Pemba South [Region: Tanzania]
840001
Alabama [State: U.S.]
840002
Alaska [State: U.S.]
840004
Arizona [State: U.S.]
840005
Arkansas [State: U.S.]
840006
California [State: U.S.]
840008
Colorado [State: U.S.]
840009
Connecticut [State: U.S.]
840010
Delaware [State: U.S.]
840011
District of Columbia [State: U.S.]
840012
Florida [State: U.S.]
840013
Georgia [State: U.S.]
840015
Hawaii [State: U.S.]
840016
Idaho [State: U.S.]
840017
Illinois [State: U.S.]
840018
Indiana [State: U.S.]
840019
Iowa [State: U.S.]
840020
Kansas [State: U.S.]
840021
Kentucky [State: U.S.]
840022
Louisiana [State: U.S.]
840023
Maine [State: U.S.]
840024
Maryland [State: U.S.]
840025
Massachusetts [State: U.S.]
840026
Michigan [State: U.S.]
840027
Minnesota [State: U.S.]
840028
Mississippi [State: U.S.]
840029
Missouri [State: U.S.]
840030
Montana [State: U.S.]
840031
Nebraska [State: U.S.]
840032
Nevada [State: U.S.]
840033
New Hampshire [State: U.S.]
840034
New Jersey [State: U.S.]
840035
New Mexico [State: U.S.]
840036
New York [State: U.S.]
840037
North Carolina [State: U.S.]
840038
North Dakota [State: U.S.]
840039
Ohio [State: U.S.]
840040
Oklahoma [State: U.S.]
840041
Oregon [State: U.S.]
840042
Pennsylvania [State: U.S.]
840044
Rhode Island [State: U.S.]
840045
South Carolina [State: U.S.]
840046
South Dakota [State: U.S.]
840047
Tennessee [State: U.S.]
840048
Texas [State: U.S.]
840049
Utah [State: U.S.]
840050
Vermont [State: U.S.]
840051
Virginia [State: U.S.]
840053
Washington [State: U.S.]
840054
West Virginia [State: U.S.]
840055
Wisconsin [State: U.S.]
840056
Wyoming [State: U.S.]
840099
State not identified [State: U.S.]
854001
Boucle du Mouhoun [Region: Burkina Faso]
854002
Cascades [Region: Burkina Faso]
854003
Centre [Region: Burkina Faso]
854004
Centre-Est [Region: Burkina Faso]
854005
Centre-Nord [Region: Burkina Faso]
854006
Centre-Ouest [Region: Burkina Faso]
854007
Centre-Sud [Region: Burkina Faso]
854008
Est [Region: Burkina Faso]
854009
Hauts-Bassins [Region: Burkina Faso]
854010
Nord [Region: Burkina Faso]
854011
Plateau Central [Region: Burkina Faso]
854012
Sahel [Region: Burkina Faso]
854013
Sud-Ouest [Region: Burkina Faso]
858001
Montevideo [Department: Uruguay]
858002
Artigas [Department: Uruguay]
858003
Canelones [Department: Uruguay]
858004
Cerro Largo [Department: Uruguay]
858005
Colonia [Department: Uruguay]
858006
Durazno [Department: Uruguay]
858007
Flores [Department: Uruguay]
858008
Florida [Department: Uruguay]
858009
Lavalleja [Department: Uruguay]
858010
Maldonado [Department: Uruguay]
858011
Paysandú [Department: Uruguay]
858012
Río Negro [Department: Uruguay]
858013
Rivera [Department: Uruguay]
858014
Rocha [Department: Uruguay]
858015
Salto [Department: Uruguay]
858016
San Jose [Department: Uruguay]
858017
Soriano [Department: Uruguay]
858018
Tacuarembó [Department: Uruguay]
858019
Treinta Y Tres [Department: Uruguay]
862001
Federal District, Vargas [State: Venezuela]
862002
Amazonas Federal Territory [State: Venezuela]
862003
Anzoátegui [State: Venezuela]
862004
Apure [State: Venezuela]
862005
Aragua [State: Venezuela]
862007
Bolívar [State: Venezuela]
862008
Carabobo [State: Venezuela]
862009
Cojedes [State: Venezuela]
862010
Amacuros Delta Federal Territory [State: Venezuela]
862011
Falcón [State: Venezuela]
862012
Guárico [State: Venezuela]
862013
Lara [State: Venezuela]
862014
Barinas, Mérida [State: Venezuela]
862015
Miranda [State: Venezuela]
862016
Monagas [State: Venezuela]
862017
Nueva Esparta, Federal Dependencies [State: Venezuela]
862018
Portuguesa [State: Venezuela]
862019
Sucre [State: Venezuela]
862020
Táchira [State: Venezuela]
862021
Trujillo [State: Venezuela]
862022
Yaracuy [State: Venezuela]
862023
Zulia [State: Venezuela]
894001
Central [Province: Zambia]
894002
Copperbelt [Province: Zambia]
894003
Eastern, Muchinga, Northern [Province: Zambia]
894004
Luapula [Province: Zambia]
894005
Lusaka [Province: Zambia]
894008
North Western [Province: Zambia]
894009
Southern [Province: Zambia]
894010
Western [Province: Zambia]
GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Water supply
Water supply
Water supply
Water supply
Water supply
NIU (not in universe)
10
Yes, piped water
11
Piped inside dwelling
12
Piped, exclusively to this household
13
Piped, shared with other households
14
Piped outside the dwelling
15
Piped outside dwelling, in building
16
Piped within the building or plot of land
17
Piped outside the building or lot
18
Have access to public piped water
20
No piped water
99
Unknown
WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water.
Utilities Variables -- HOUSEHOLD
IPUMS
Telephone availability
Telephone availability
Telephone availability
Telephone availability
Telephone availability
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
PHONE indicates the availability of a telephone in the dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Trash disposal
Trash disposal
Trash disposal
Trash disposal
Trash disposal
NIU (not in universe)
10
Collected by a sanitation service
11
Collected directly from the household or dwelling
12
Collected indirectly from a garbage container or deposit
13
Collected by a sanitation service only
14
Collected by a sanitation service and disposed of in some other manner
20
Disposed of in some other manner
21
Burned or buried
22
Burned
23
Buried
24
Thrown into street, vacant land, or common area
25
Thrown into river, lake, ocean, lagoon, etc.
26
Thrown into canyon or gulley
27
Dumped in pit
28
Communal refuse dump
29
Own refuse dump
30
Authorized refuse dump
31
Illegal refuse dump
32
Other dumping
33
Outside
34
In the fields
35
Fed to animals
36
Composted
37
Heap
38
Garden
39
Other, none
99
Unknown/missing
This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner.
Utilities Variables -- HOUSEHOLD
IPUMS
Automobiles available
Automobiles available
Automobiles available
Automobiles available
Automobiles available
No autos
1
1 auto
2
2 autos
3
3 autos
4
4 autos
5
5 autos
6
6+ autos
7
Have auto, number unspecified
8
Unknown
9
NIU (not in universe)
AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Part of a room; no rooms
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+
98
Unknown
99
NIU (not in universe)
ROOMS indicates the number of rooms occupied by the housing unit.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
NIU (not in universe)
10
No kitchen
11
Food is prepared in a non-kitchen room
13
Does not prepare food in the dwelling
20
Yes, have a kitchen
21
Kitchen located inside the dwelling
22
Indoor kitchen, exclusive use
23
Indoor kitchen, shared use
24
Exclusive use of kitchen (indoor/outdoor status not specified)
25
Kitchen shared with another household (indoor/outdoor status not specified)
26
Kitchen located outside the dwelling
27
Outdoor kitchen, exclusive use
28
Outdoor kitchen, shared use
99
Unknown/missing
KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Toilet
Toilet
Toilet
Toilet
Toilet
NIU (not in universe)
10
No toilet
11
No flush toilet
20
Have toilet, type not specified
21
Flush toilet
22
Non-flush, latrine
23
Non-flush, other and unspecified
99
Unknown
TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Floor material
Floor material
Floor material
Floor material
Floor material
NIU (not in universe)
100
None/unfinished (earth)
110
Sand
120
Dung
200
Finished
201
Cement, tile, or brick
202
Cement
203
Concrete
204
Cement screed
205
Ceramic tile
206
Paving stone, cement tile
207
Stone
208
Brick
209
Brick or stone
210
Brick or cement
211
Block
212
Terrazzo
213
Wood
214
Palm, bamboo
215
Parquet
216
Parquet, tile, vinyl
217
Parquet, tile, marble
218
Ceramic, marble, granite
219
Ceramic, marble, tile, or vinyl
220
Marble
221
Mosaic
222
Tile
223
Tile, linoleum, ceramic, etc
224
Tile, cement
225
Tile, stone
226
Tile, stone, brick
227
Tile, stone, vinyl, brick
228
Tile, vinyl, brick
229
Tile, vinyl
230
Vinyl, linoleum, etc
231
Asphalt sheet, vinyl, etc
232
Synthetic, plastic
233
Cane
234
Carpet
235
Scrap material
236
Other finished, n.e.c.
999
Unknown/missing
FLOOR indicates the dwelling's predominant flooring material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Wall or building material
Wall or building material
Wall or building material
Wall or building material
Wall or building material
NIU (not in universe)
100
No walls
200
Cardboard, scrap, and miscellaneous materials
201
Waste, scrap, or discarded material
202
Fabric or discarded material
203
Zinc, fabric, cardboard, tins, and waste material
204
Cardboard sheet
205
Plastic sheeting, cardboard
206
Makeshift, salvaged, or improvised materials
207
Reused materials
300
Wood
310
Rough wood
320
Wood, fibercement or plywood
330
Wood, formica, and other
340
Wood or bamboo
350
Wood or straw
400
Other plant-based materials
401
Plantain leaves and similar material
402
Bamboo or cane
403
Bamboo, sawali, cogon, nipa
404
Straw or bamboo
405
Grass, straw or reed
406
Reed, bamboo, or palm
407
Cane, palm leaves, logs
408
Palm leaves or palm planks
500
Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood)
501
Brick, block, stone, or cement
502
Brick, stone, concrete
503
Brick, stone, or substitutes (dividing panels made of reinforced concrete)
504
Brick, stone, or substitutes (dividing panels made of wood)
505
Brick or tile
506
Brick or stone
507
Brick or cement block
508
Brick with plaster exterior
509
Brick without plaster exterior
510
Burnt or stabilized brick
511
Brick
512
Unburnt brick
513
Unburnt brick with cement
514
Unburnt brick with mud
515
Concrete
516
Landcrete
517
Cement blocks
518
Cement blocks or brick
519
Cement blocks or brick, unfinished
520
Cement and adobe bricks
521
Cement and stone block
522
Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete
523
Concrete, reinforced concrete, blocks, panels
524
Adobe
525
Adobe walls with plaster exterior
526
Adobe walls without plaster exterior
527
Adobe with cement exterior
528
Adobe (tabique, quinche)
529
Wood and earth adobe
530
Wood and cement adobe
531
Mud or adobe
532
Pressed dirt
533
Clay
534
Coated clay/mud with sticks/cane
535
Clay or clay-covered sticks
536
Netted bamboo or cane with mud
537
Bundle of mud, straw, other materials
538
Mud with wood/wattle
539
Pole and mud
540
Mud with cement
541
Unfinished lathe and plaster, stucco, etc.
542
Stone
543
Hand-laid stone
544
Quarried stone
545
Cut stone and concrete
546
Cemented stone
547
Stone with clay
548
Blocks of light material
549
Prefabricated material
550
Asbestos
551
Metal or asbestos sheet
552
Metal or iron sheet
553
Metal or fibercement sheeting
554
Galvanized iron or aluminum
555
Tin
556
Glass
557
Cloth
558
Covintec panels
559
Mixed material
560
Mixed material: part wood; part concrete, brick, or stone
561
Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc.
570
Mainly permanent materials
600
Other material
999
Unknown/missing
This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Roof material
Roof material
Roof material
Roof material
Roof material
NIU (not in universe)
10
Masonry, concrete, clay tile, or tiles of unspecified type
11
Concrete or cement
12
Reinforced concrete (slab)
13
Cement or sheet metal
14
Tile, unspecified
15
Clay tile
16
Tile or cement
17
Modern tiles, industrial
18
Traditional tiles, locally made
19
Tile or flat stone
20
Fibercement or plastic
21
Asphalt or laminate cover
22
Tile, cement, asphalt
23
Asphalt tile
24
Slate or tile
25
Slate or asbestos
26
Asbestos
27
Adobe
28
Tiles or wood planks
29
Roofing shingles
30
Metal
31
Sheet metal
32
Zinc or tin
33
Tin
34
Sheet metal or other sheet material
35
Sheet metal, tile, slate
40
Wood and other plant materials
41
Wood
42
Wood, including bamboo
43
Bamboo
44
Cogon, nipa, anahaw
45
Thatch (straw, grass, leaves, palm, etc.)
46
Cane, wood, straw
47
Grass
48
Papyrus
49
Banana leaves or fiber
50
Palm or makuti
51
Plant material or wood with clay
52
Grass and mud
53
Straw, bamboo, polythene
54
Rustic mat
60
Mud or earth
61
Clay
70
Cardboard, scrap, and miscellaneous materials
71
Discarded or scrap material
72
Cardboard
73
Plastic
80
Other, unspecified
99
Unknown/missing
This variable indicates the dwelling's predominant roofing material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Zambia, Consituency 2000 - 2010 [Level 3; inconsistent boundaries, harmonized by name]
Zambia, Consituency 2000 - 2010 [Level 3; inconsistent boundaries, harmonized by name]
Zambia, Consituency 2000 - 2010 [Level 3; inconsistent boundaries, harmonized by name]
Zambia, Consituency 2000 - 2010 [Level 3; inconsistent boundaries, harmonized by name]
Zambia, Consituency 2000 - 2010 [Level 3; inconsistent boundaries, harmonized by name]
101001
Chisamba
101002
Katuba
101003
Keembe
102004
Bwacha
102005
Kabwe Central
103006
Kapiri Mposhi
104007
Mkushi North
104008
Mkushi South
105009
Mwembezhi
105010
Mumbwa
105011
Nangoma
106012
Chitambo
106013
Muchinga
106014
Serenje
201015
Chililabombwe
202016
Chingola
202017
Nchanga
203018
Kalulushi
204019
Chimwemwe
204020
Kamfinsa
204021
Kwacha
204022
Nkana
204023
Wusakile
205024
Luanshya
205025
Roan
206030
Lufwanyama
207029
Kafulafuta
207031
Masaiti
208032
Mpongwe
209026
Kankoyo
209027
Kantanshi
209028
Mufurila
210033
Bwana Mkubwa
210034
Chifubu
210035
Kabushi
210036
Ndola
301037
Chadiza
301038
Vubwi
302041
Chipangali
302042
Chipata Central
302043
Kasenengwa
302044
Luangeni
303045
Milanzi
303046
Mkaika
303047
Sinda
304048
Chasefu
304049
Lumezi
304050
Lundazi
305051
Mambwe
306052
Nyimba
307053
Kapoche
307054
Msanzala
307055
Petauke
401065
Chienge
402056
Kawambwa
402057
Mwansabombwe
402058
Pambashe
403059
Bahati
403061
Mansa
404060
Chembe
405062
Chipili
405063
Mambilima
405064
Mwense
406066
Nchelenge
407067
Bangweulu
407068
Chifunabuli
407069
Luapula
501073
Chongwe
501074
Rufunsa
502070
Kafue
502072
Chilanga
503071
Feira
504075
Chawama
504076
Kabwata
504077
Kanyama
504078
Lusaka Central
504079
Mandevu
504080
Matero
504081
Munali
601039
Chama North
601040
Chama South
602083
Chinsali
602084
Shiwangandu
603086
Isoka
604085
Mafinga
605098
Kanchibiya
605099
Mfuwe
605100
Mpika
606087
Nakonde
701082
Chilubi
702088
Chimbamilonga
702089
Kaputa
703090
Kasama Central
703091
Lukashya
704093
Lubansenshi
704094
Lupososhi
705095
Mbala
705097
Senga Hill
706101
Lunte
706102
Mporokoso
707096
Mpulungu
708092
Malole
801103
Chavuma
802109
Ikelenge
803104
Kabompo East
803105
Kabompo West
804106
Kasempa
805107
Mufumbwe
806108
Mwinilunga
807110
Solwezi Central
807111
Solwezi East
807112
Solwezi West
808113
Zambezi East
808114
Zambezi West
901115
Choma
901116
Mbabala
901117
Pemba
902118
Gwembe
903130
Itezhi Tezhi
904119
Dundumwezi
904120
Kalomo Central
904122
Mapatizya
905121
Katombola
906123
Livingstone
907124
Chikankanta
907125
Magoye
907126
Mazabuka Central
908127
Bweengwa
908128
Monze Central
908129
Moomba
909131
Namwala
910132
Siavonga
911133
Sinazongwe
1001134
Kalabo Central
1001135
Liuwa
1001136
Sikongo
1002137
Kaoma Central
1002138
Luampa
1002139
Mangango
1003140
Lukulu East
1003141
Lukulu West
1004142
Luena
1004143
Mongu Central
1004144
Nalikwanda
1005145
Nalolo
1005146
Senanga
1006148
Mulobezi
1006149
Mwandi
1006150
Sesheke
1007147
Sinjembela
CONSTZM indicates the constituency within Zambia in which the household was enumerated from 2000 to the present. It is the third level geographic identifier available in the Zambia samples. CONSTZM is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for Zambia can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
1
Rural
2
Urban
9
Unknown
URBAN indicates whether the household was located in a place designated as urban or as rural.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Sewage
Sewage
Sewage
Sewage
Sewage
NIU (not in universe)
10
Connected to sewage system or septic tank
11
Sewage system (public sewage disposal)
12
Septic tank (private sewage disposal)
20
Not connected to sewage disposal system
99
Unknown
SEWAGE indicates whether the household has access to a sewage system or septic tank.
Utilities Variables -- HOUSEHOLD
IPUMS
Refrigerator
Refrigerator
Refrigerator
Refrigerator
Refrigerator
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
REFRIG indicates whether the household had a refrigerator.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Television set
Television set
Television set
Television set
Television set
NIU (not in universe)
10
No
20
Yes, color or black-and-white not specified
21
1 television
22
2 televisions
23
3 televisions
24
4 televisions
25
5 televisions
26
6 televisions
27
7 televisions
28
8 televisions
29
9+ televisions
30
Yes, color only
31
1 color tv
32
2 color tvs
33
3+ color tvs
40
Yes, black-and-white only
41
1 black-white tv
42
2 black-white tvs
43
3+ black-white tvs
50
Yes, both color and black-and-white
52
2+ color and black-white tvs
53
3+ color and black-white tvs
54
4+ color and black-white tvs
99
Unknown/missing
TV indicates whether the household had a television.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Radio in household
Radio in household
Radio in household
Radio in household
Radio in household
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
RADIO indicates whether the household had a radio.
Appliances, Mechanicals, Other Amenities 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
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
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
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
51
Australia and New Zealand
52
Melanesia
53
Micronesia
54
Polynesia
REGIONW identifies the continent and region of each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) 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 often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification.
Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions.
Group Quarters 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 Household 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
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
All records
This variable indicates the dwelling number.
Technical Household Variables -- HOUSEHOLD
IPUMS
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
All records
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
This variable indicates the household number (within dwelling).
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
All records
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
This variable indicates the number of households in dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
All records
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
This variable indicates the number of persons in dwelling.
Technical Household 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 records
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
57
57
58
58
59
59
60
60
61
61
62
62
63
63
65
65
66
66
67
67
69
69
70
70
73
73
76
76
79
79
84
84
94
94
116
116
122
122
140
140
155
155
This variable indicates the number of persons in household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
All records
No problem
1
Yes: households within a large dwelling were split apart into separate dwellings
2
Yes: persons within a large household were split apart into separate dwellings
This variable indicates if the dwelling was created by splitting apart a large dwelling or household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Province
Province
Province
Province
Province
Questionnaire Identification
Province Name
District Name
Province _
District _ _
Constituency _ _ _
Ward _ _
CSA No. _ _
Region:
[]Urban
[] Rural
SEA No. _
Census Building Number (CBN) _ _ _
Housing Number Unit (HUN) _ _
Household Number (HHN) _
4.2 Questionnaire Identification
Write the name and code of the province in which you are operating in the space provided. You will then shade the appropriate code for the province. The province codes are given in Appendix 1.
All households
1
Central
2
Copperbelt
3
Eastern
4
Luapula
5
Lusaka
6
Northern
7
North-Western
8
Southern
9
Western
This variable indicates the province where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
District
District
District
District
District
Questionnaire Identification
Province Name
District Name
Province _
District _ _
Constituency _ _ _
Ward _ _
CSA No. _ _
Region:
[]Urban
[] Rural
SEA No. _
Census Building Number (CBN) _ _ _
Housing Number Unit (HUN) _ _
Household Number (HHN) _
4.2.1 District Name
Write the name and code of the district in which you are operating, in the space provided, then shade the appropriate code for the district. The district codes are given in Appendix 1.
All households
101
Chibombo
102
Kabwe
103
Kapiri-posh
104
Mkushi
105
Mumbwa
106
Serenje
201
Chililabombwe
202
Chingola
203
Kalulushi
204
Kitwe
205
Luanshya
206
Lufwanyama
207
Masaiti
208
Mpongwe
209
Mufulira
210
Ndola
301
Chadiza
302
Chama
303
Chipata
304
Katete
305
Lundazi
306
Mambwe
307
Nyimba
308
Petauke
401
Chiengi
402
Kawambwa
403
Mansa
404
Milengi
405
Mwense
406
Nchelenge
407
Samfya
501
Chongwe
502
Kafue
503
Luangwa
504
Lusaka
601
Chilubi
602
Chinsali
603
Isoka
604
Kaputa
605
Kasama
606
Luwingu
607
Mbala
608
Mpika
609
Mporokoso
610
Mpulungu
611
Mungwi
612
Nakonde
701
Chavuma
702
Kabompo
703
Kasempa
704
Mufumbwe (Chizera)
705
Mwinilunga
706
Solwezi
707
Zambezi
801
Choma
802
Gwembe
803
Itezhi-tezhi
804
Kalomo
805
Kazungula
806
Livingstone
807
Mazabuka
808
Monze
809
Namwala
810
Siavonga
811
Sinazongwe
901
Kalabo
902
Kaoma
903
Lukulu
904
Mongu
905
Senanga
906
Sesheke
907
Shang 'ombo
This variable indicates the district where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Constituency
Constituency
Constituency
Constituency
Constituency
Questionnaire Identification
Province Name
District Name
Province _
District _ _
Constituency _ _ _
Ward _ _
CSA No. _ _
Region:
[]Urban
[] Rural
SEA No. _
Census Building Number (CBN) _ _ _
Housing Number Unit (HUN) _ _
Household Number (HHN) _
4.2.2 Constituency
Write the code of the constituency in the space provided, then shade the appropriate code for the constituency. The constituency codes are given in Appendix 2. The map you shall use will also tell you the constituency you are working in.
All households
1
Chisamba
2
Katuba
3
Keembe
4
Bwacha
5
Kabwe
6
Kapiri-Poshi
7
Mkushi North
8
Mkushi South
9
Mumbezhi
10
Mumbwa
11
Nangoma
12
Chitambo
13
Muchinga
14
Serenje
15
Chililabombwe
16
Chingola
17
Nchanga
18
Kalulushi
19
Chimwemwe
20
Kamfinsa
21
Kwacha
22
Nkana
23
Wusakile
24
Luanshya
25
Roan
26
Kankoyo
27
Kantanshi
28
Mufulira
29
Kafulafuta
30
Lufwanyama
31
Masaiti
32
Mpongwe
33
Bwana Mkumbwa
34
Chifubu
35
Kabushi
36
Ndola
37
Chadiza
38
Vubwi
39
Chama North
40
Chama South
41
Chipangali
42
Chipata
43
Kasenengwa
44
Luange
45
Milanzi
46
Mkaika
47
Sinda
48
Chasefu
49
Lumezi
50
Lundazi
51
Malambo
52
Nyimba
53
Kapoche
54
Petauke
55
Msanzala
56
Kawambwa
57
Mwansabombwe
58
Pambashe
59
Bahati
60
Chembe
61
Mansa
62
Chipili
63
Mambilima
64
Mwense
65
Chienge
66
Nchelenge
67
Bangweulu
68
Chifunabuli
69
Luapula
70
Kafue
71
Feira
72
Chilanga
73
Chongwe
74
Rufunsa
75
Chawama
76
Kabwata
77
Kanyama
78
Lusaka Central
79
Mandevu
80
Matero
81
Munali
82
Chilubi
83
Chinsau
84
Shiwa-Ng'andu
85
Isoka East
86
Isoka West
87
Nakonde
88
Chimbamilonga
89
Kaputa
90
Kasama
91
Lukasha
92
Malole
93
Lubansenshi
94
Lupososhi
95
Mbala
96
Mpulungu
97
Senga Hill
98
Kanchibiya
99
Mfuwe
100
Mpika
101
Lunte
102
Mporokoso
103
Chavuma
104
Kabompo East
105
Kabompo West
106
Kasempa
107
Mufumbwe
108
Mwinilunga East
109
Mwinilunga West
110
Solwezi Central
111
Solwezi East
112
Solwezi West
113
Zambezi East
114
Zambezi West
115
Choma
116
Mbabala
117
Pemba
118
Gwembe
119
Dundumwenze
120
Kalomo
121
Katombola
122
Mapatizya
123
Livingstone
124
Chikankata
125
Magoye
126
Mazabuka
127
Bweenga
128
Monze
129
Moomba
130
Itezhi-Tezhi
131
Namwala
132
Siavonga
133
Sinazongwe
134
Kalabo
135
Liuwa
136
Sikongo
137
Kaoma
138
Luampa
139
Mangango
140
Lukulu East
141
Lukulu West
142
Luena
143
Mongu
144
Nalikwanda
145
Nalolo
146
Senanga
147
Sinjembela
148
Mulobezi
149
Mwandi
150
Sesheke
This variable indicates the constituency where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Urban-rural
Urban-rural
Urban-rural
Urban-rural
Urban-rural
Questionnaire Identification
Province Name
District Name
Province _
District _ _
Constituency _ _ _
Ward _ _
CSA No. _ _
Region:
[]Urban
[] Rural
SEA No. _
Census Building Number (CBN) _ _ _
Housing Number Unit (HUN) _ _
Household Number (HHN) _
4.2.4 Rural/Urban
Shade appropriately in the provided boxes for rural or urban, depending on the area in which you are operating. You will transfer this information from the map you are using onto the Form.
All households
1
Rural
2
Urban
This variable indicates the region where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Household number
Household number
Household number
Household number
Household number
Questionnaire Identification
Province Name
District Name
Province _
District _ _
Constituency _ _ _
Ward _ _
CSA No. _ _
Region:
[]Urban
[] Rural
SEA No. _
Census Building Number (CBN) _ _ _
Housing Number Unit (HUN) _ _
Household Number (HHN) _
4.2.9 Household Number (HHN)
Each household within a housing unit will be given a one-digit serial number - 1,2,3, etc. If the housing unit is vacant write '0' and then shade the appropriate space. This will indicate that no one was living there at the time of enumeration. You will then get the housing particulars for the housing unit. If the Housing Unit is occupied, but you do not contact any household member at that particular housing unit, leave the column for HHN blank. For a non residential building, record zero for HiIN and shade accordingly.
All households
Vacant
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
This variable indicates the household number.
Technical Household Variables -- HOUSEHOLD
IPUMS
Type of institution
Type of institution
Type of institution
Type of institution
Type of institution
Residential Status:
Institutional/ Collective Quarter _
4.4 Residential status
This includes Collective Living Quarters. The Institutions/Collective Living Quarters are as follows:-
a. Hotel/Motel.
b. Hostel/Rek House.
c. Hospital.
d. Learning Institution.
e. Prison/Police Cells.
f. Other.
g. Not Applicable.
Shade the appropriate space under institutional collective quarter. In case of a normal housing unit, shade the space for Not Applicable.
Collective or institutional dwellings
1
Hotel/motel
2
Hostel/guest house
3
Hospital
5
Prison/police
6
Other
9
NIU (not in universe)
This variable indicates the institution.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Interview status
Interview status
Interview status
Interview status
Interview status
Interview Status
[] Interview completed (occupied)
[] Non-contact (occupied)
[] Not interviewed (v
acant) Go to H1
[] Non-Residential Go to H1
4.5 Interview status
Check the appropriate category as indicated below and shade the appropriate code.
a. Interview Completed (Occupied): You will pick this category if the housing units are occupied and you have enumerated the households. Shade the space provided.
b. Non-Contact (Occupied): You will pick this category after making sure that the house is occupied, but that you cannot find anybody at home throughout your three visits during the Census period. Shade the space provided.
c. Not-Interviewed (Vacant): You will pick this category after making sure that the house is vacant throughout your three visits during the Census period. Shade the space provided.
d. Non-Residential: In case of a building which is not a housing unit, pick this category and shade the space provided.
All households
1
Interview completed (occupied)
2
Non-contact (occupied)
3
Not interviewed (vacant)
4
Non-residential
This variable indicates the interview status.
Technical Household Variables -- HOUSEHOLD
IPUMS
Type of housing
Type of housing
Type of housing
Type of housing
Type of housing
1. Type of Housing
[] Traditional
[] Mixed
[] Conventional Flat
[] Conventional house
[] Mobile
[] Part of commercial building
[] Improvised/makeshift
[] Collective/Institutional quarters
[] Unintended
[1] Other
2.6 Housing Unit
A Housing Unit is an independent place of abode intended for habitation by one household. This should have direct access to the outside such that. the occupants can come in or, go out without passing through anybody else's premises, that. is, a housing unit should have at least one door which directly leads outside in the open or into a public .corridor or hallway. Structures which are not intended for habitation such as garages and barns, classroom etc,. but are occupied as by one or more households at the time of the Census will also be treated as The following are the types of Housing Units, thus:
a. Traditional Housing Unit: A traditional housing unit is indigenous to a particular irrespective of building materials.
b. Mixed Housing Unit: Mixed housing: units are of a mixed type i.e.with a unique combination of building materials. .An example could be that of a conventional housing, with concrete block walls with an extension of rooms of pole and dagga walls or a cabin.
c. A Conventional House Flats (Housing Unit): A conventional housing unit is a room or a set of rooms and accessories in a permanent building. It can also be structurally separated part of the permanent building by the way it has been [illegible] apartments, etc. A Conventional Housing unit may be just one structure, several structures or part of a big structure. If it is part of a structure, then other parts may also be housing units, like in a block of flats, or be other than housing units, like shop, an office, etc., or mixture of such units. In some cases, a place may be originally designed as a barn, warehouse, etc., and thus not intended for human habitation. Later on it may be converted into a housing unit by structural alterations, re-design, etc., and thus may now be fit and intended for habitation. In such cases, these will now be classified as conventional housing units.
d. Mobile Housing Unit: This is any type of living quarter that has been produced to be transported e.g. a tent. A mobile housing unit may also refer to a moving unit such as a ship, a boat, or a caravan occupied as living quarters at the time of the census.
e. Part of Commercial building: This is a living quarter which is part of a commercial building, e.g. shop owners living on top of the shop.
f. An Improvised/Makeshift Housing Unit: An improvised housing unit is an independent, makeshift-shelter or structure built of mostly waste or salvaged materials and without a predetermined design or plan for the purpose of habitation by one household, which is being used as living quarters though it may not comply with generally accepted standards for habitation. Such a unit will be generally found in suburban shanty areas. Not all structures in shanty areas may be considered as improvised as many of these may have been built in a planned manner from regular building materials.
g. Collective Living Quarters: Collective living quarters include structurally separate and independent places of abode intended for habitation by large groups of individuals or several households with no common bond, public objective or interest. Such quarters usually contain common facilities such as kitchen, bathrooms, lounge or dormitories, which are shared by occupants. Examples are hotels, motels, inns, lodges, rooming houses, etc., which provide lodging on a fee basis.
h. Institutions: Institutions are sets of premises in a permanent structure or structures designed to house groups of persons (usually large) who are bound by either a common public objective or a common personal interest. In this type of livingquarters persons of the same sex frequently share dormitories. Examples are.Hospitals, military barracks, boarding schools, convents, seminaries, prisons, etc.
i. Unintended Living Quarters: Unintended living quarters are structurally separate and independent places of abodes. They may have been built. constructed. Converted or arranged for human habitation provided they are not at the time of the census used wholly for other purposes. They may also be in use for habitation at the time of the census although not intended for habitation.
j. Other: [illegible]
H1: Type of Housing Unit
In this question we are interested in knowing the different types of housing units such as traditional structures, mixed structures, mobile, conventional and improvised structures etc. Shade the appropriate code.
All households
1
Traditonal
2
Mixed
3
Conventional flat
4
Conventional house
5
Mobile
6
Part of commercial building
7
Improvised or makeshift
8
Collective or institutional quarters
9
Unintended
10
Other
This variable indicates the type of housing.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Main roof material
Main roof material
Main roof material
Main roof material
Main roof material
2. What is the main type of material on the roof?
[] Concrete/cement
[] Asbestos sheet
[] Iron sheet/corrugated
[] Grass/thatch/straw
[] Tiles
[] Slate
[] Other
2.7 Building Materials
a. Cement: Is the building material usually greenish to gray in colour and sometimes light brown. It hardens in moist condition.
b. Concrete: Is a mixture of crushed stones, river sand and cement, with the right amount of water. It can be moulded into any shape. It is weak under tensile stress and strong under compression.
8
c. Iron Sheets: Usually galvanised iron sheets or can be corrugated. These are the lightest roofing materials and can be obtained in length from 1.2 metres to 3.6 metres. Large lengths can be obtained on special order. They can also be used for walls when flat.
d. Grass Thatch: Traditional roofing material which works well at angles of 35° and more with thatch thickness of 12 centimetre to 15 centimetre. The thatch thickness increases with the decline in angle.
e. Tile: Roof Tiles- small rectangular roofing materials made from fine concrete quarry and slates. Floor Tiles can be PVC or baked clay. If they are baked clay, they are called quarry tiles. They have a rough glazed finish on the face and are about 6 millimeters thick or more.
f. Slates: Thin heavy flat stones formed from layers of mud under extreme heat and pressure after a length of time.
g. Burnt Brick: Brick moulded from seasoned clay and burnt to a temperature of 1,300 degrees Celsius.
h. Mud Brick: Kimberly brick or Adope brick are the technical terms. Brick made of mud and sun dried.
i. Concrete Blocks: Building units made out of a mixture of concrete can be fine concrete or coarse concrete.
j. Wood: Processed plank - material from tree trunks used in construction as timber.
k. Hardboard: Heavy thin boards usually 4 millimeters to 8 millimeters in width.
l. Mud Floor: Is usually from treated or seasoned clay mixed with cow dung. It makes a hard shiny floor. It is mostly found in traditional houses.
m. Wooden Floor: Usually floor above ground level and not popular here in Zambia due to our climate.
n. Marble: Used in high cost building. It can be in the form of tiles or slabs. It makes a high durable shine. Marble are cut from stone (marble stone) in flat sheet and polished to give a shiny finish.
o. Terrazo: Floors made out of concrete with a selected course aggregate of 13 millimeter or slightly less. The top is grinned flat with a machine and then polished. The floor finish is usually black or white.
H2: Type of Roofing Material
You can easily identify the type of roof the housing unit has. In case it is not very obvious or if in doubt ask the respondent. Shade the appropriate code.
All households
1
Concrete or cement
2
Asbestos sheet
3
Iron sheet or corrugated
4
Grass, thatch or straw
5
Tiles
6
Slate
7
Other
This variable indicates the main roof material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Main wall material
Main wall material
Main wall material
Main wall material
Main wall material
3. What are the walls of this unit mainly made of?
[] Burnt Bricks
[] Mud Bricks
[] Concrete blacks/slab
[] Cement blocks
[] Stone
[] Iron sheets
[] Asbestos/hardboard/wood
[] Pole and dagga/mud
[] Grass
[] Other
2.7 Building Materials
a. Cement: Is the building material usually greenish to gray in colour and sometimes light brown. It hardens in moist condition.
b. Concrete: Is a mixture of crushed stones, river sand and cement, with the right amount of water. It can be moulded into any shape. It is weak under tensile stress and strong under compression.
8
c. Iron Sheets: Usually galvanised iron sheets or can be corrugated. These are the lightest roofing materials and can be obtained in length from 1.2 metres to 3.6 metres. Large lengths can be obtained on special order. They can also be used for walls when flat.
d. Grass Thatch: Traditional roofing material which works well at angles of 35° and more with thatch thickness of 12 centimetre to 15 centimetre. The thatch thickness increases with the decline in angle.
e. Tile: Roof Tiles- small rectangular roofing materials made from fine concrete quarry and slates. Floor Tiles can be PVC or baked clay. If they are baked clay, they are called quarry tiles. They have a rough glazed finish on the face and are about 6 millimeters thick or more.
f. Slates: Thin heavy flat stones formed from layers of mud under extreme heat and pressure after a length of time.
g. Burnt Brick: Brick moulded from seasoned clay and burnt to a temperature of 1,300 degrees Celsius.
h. Mud Brick: Kimberly brick or Adope brick are the technical terms. Brick made of mud and sun dried.
i. Concrete Blocks: Building units made out of a mixture of concrete can be fine concrete or coarse concrete.
j. Wood: Processed plank - material from tree trunks used in construction as timber.
k. Hardboard: Heavy thin boards usually 4 millimeters to 8 millimeters in width.
l. Mud Floor: Is usually from treated or seasoned clay mixed with cow dung. It makes a hard shiny floor. It is mostly found in traditional houses.
m. Wooden Floor: Usually floor above ground level and not popular here in Zambia due to our climate.
n. Marble: Used in high cost building. It can be in the form of tiles or slabs. It makes a high durable shine. Marble are cut from stone (marble stone) in flat sheet and polished to give a shiny finish.
o. Terrazo: Floors made out of concrete with a selected course aggregate of 13 millimeter or slightly less. The top is grinned flat with a machine and then polished. The floor finish is usually black or white.
H3: What are the walls of this housing unit made of?
Generally the walls are plastered both inside and outside. If you are not able to tell, ask the respondent. Shade the appropriate code.
All households
1
Burnt bricks
2
Mud bricks
3
Concrete blocks or slab
4
Cement blocks
5
Stone
6
Iron sheets
7
Asbestos, hardboard or wood
8
Pole and dagga or mud
9
Grass
10
Other
This variable indicates the main wall material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Main floor material
Main floor material
Main floor material
Main floor material
Main floor material
4. What is the floor of this housing unit mainly made of?
[] Concrete
[] Cement
[] Brick
[] Tiles
[] Mud
[] Wood (not wooden tiles)
[] Marble
[] Terrazzo
[] Other
2.7 Building Materials
a. Cement: Is the building material usually greenish to gray in colour and sometimes light brown. It hardens in moist condition.
b. Concrete: Is a mixture of crushed stones, river sand and cement, with the right amount of water. It can be moulded into any shape. It is weak under tensile stress and strong under compression.
8
c. Iron Sheets: Usually galvanised iron sheets or can be corrugated. These are the lightest roofing materials and can be obtained in length from 1.2 metres to 3.6 metres. Large lengths can be obtained on special order. They can also be used for walls when flat.
d. Grass Thatch: Traditional roofing material which works well at angles of 35° and more with thatch thickness of 12 centimetre to 15 centimetre. The thatch thickness increases with the decline in angle.
e. Tile: Roof Tiles- small rectangular roofing materials made from fine concrete quarry and slates. Floor Tiles can be PVC or baked clay. If they are baked clay, they are called quarry tiles. They have a rough glazed finish on the face and are about 6 millimeters thick or more.
f. Slates: Thin heavy flat stones formed from layers of mud under extreme heat and pressure after a length of time.
g. Burnt Brick: Brick moulded from seasoned clay and burnt to a temperature of 1,300 degrees Celsius.
h. Mud Brick: Kimberly brick or Adope brick are the technical terms. Brick made of mud and sun dried.
i. Concrete Blocks: Building units made out of a mixture of concrete can be fine concrete or coarse concrete.
j. Wood: Processed plank - material from tree trunks used in construction as timber.
k. Hardboard: Heavy thin boards usually 4 millimeters to 8 millimeters in width.
l. Mud Floor: Is usually from treated or seasoned clay mixed with cow dung. It makes a hard shiny floor. It is mostly found in traditional houses.
m. Wooden Floor: Usually floor above ground level and not popular here in Zambia due to our climate.
n. Marble: Used in high cost building. It can be in the form of tiles or slabs. It makes a high durable shine. Marble are cut from stone (marble stone) in flat sheet and polished to give a shiny finish.
o. Terrazo: Floors made out of concrete with a selected course aggregate of 13 millimeter or slightly less. The top is grinned flat with a machine and then polished. The floor finish is usually black or white.
H4: What Is The Floor Of This Housing Unit Made Of?
Just like in H - 3 above, the respondent may be of assistance in this question. However, if it is quite obvious to you, Shade the appropriate code.
All households
1
Concrete
2
Cement
3
Brick
4
Tile
5
Mud
6
Wood (not wooden tiles)
7
Marble
8
Terrazzo
9
Other
This variable indicates the main floor material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Occupancy
Occupancy
Occupancy
Occupancy
Occupancy
5. Occupancy
[] Single household
[] One household in several housing units
[] Shared
[] Vacant
[] Non-residential
H5: Occupancy
Find out how many households are living in the housing unit and shade appropriately.
Single Household: A Single Household means that only one household is occupying one housing unit.
One Household in Several Housing Units: This is when the one household is occupying more than one housing unit.
Shared Household: This refers to a situation where you find more than one household occupying one housing unit, which is actually intended to house just one household. Shade the appropriate code indicating the number of households sharing the housing unit.
Note that if: Either Single household or one household in several housing units is given as a response to H-5, Go to H-7. Shared is given as a response to 1 H-5, Go to H-6.
34
Either vacant, noncontact or non-residential is given as a response to H-5, end the interview.
All households
1
Single household
2
One household in several housing units
3
Shared
This variable indicates the type of occupancy.
Household Economic Variables -- HOUSEHOLD
IPUMS
Number of households
Number of households
Number of households
Number of households
Number of households
6. (If shared) what is the number of households?
[] 2
[] 3
[] 4
[] 5 or more
H6 Number of Households Sharing
Find out how many households share a particular unit (if it is shared) and shade appropriately ?
All households
1
1
2
2
3
3
4
4
5
5 or more
This variable indicates the number of households.
Other Household Variables -- HOUSEHOLD
IPUMS
Number of living rooms
Number of living rooms
Number of living rooms
Number of living rooms
Number of living rooms
7. How many living rooms and bedrooms does this housing unit have?
Living rooms: _ _
Bedrooms: _ _
H7: How many living rooms and bedrooms does this housing unit have?
A room is defined as a space in a housing unit enclosed by walls reaching from the floor to the ceiling or roof covering at least a height of two meters, of a size large enough to fit a bed for an adult. A hut meeting these two qualifications will also be treated as a room. Normally, bedrooms and living rooms will be included in this definition. Passage ways, verandahs, lobbies, kitchens, bathrooms and toilet rooms are not counted as rooms even if they meet the criteria. A garage and a store meeting these requirements should be treated as rooms only if these are actually being used for living purposes at the time of enumeration. Find out the number of living rooms and bedrooms in the housing unit and shade the appropriate figures provided. If you come across a bedsitter, treat it as a bedroom as opposed to a living room.
Study and drawing rooms, living or family rooms, play rooms, etc. are to be considered as living rooms or bed rooms depending on the use and if they meet the above criteria.
All households
No living room
1
1
2
2
3
3
4
4
5
5
6
6
7
7+
This variable indicates the number of living rooms.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
7. How many living rooms and bedrooms does this housing unit have?
Living rooms: _ _
Bedrooms: _ _
H7: How many living rooms and bedrooms does this housing unit have?
A room is defined as a space in a housing unit enclosed by walls reaching from the floor to the ceiling or roof covering at least a height of two meters, of a size large enough to fit a bed for an adult. A hut meeting these two qualifications will also be treated as a room. Normally, bedrooms and living rooms will be included in this definition. Passage ways, verandahs, lobbies, kitchens, bathrooms and toilet rooms are not counted as rooms even if they meet the criteria. A garage and a store meeting these requirements should be treated as rooms only if these are actually being used for living purposes at the time of enumeration. Find out the number of living rooms and bedrooms in the housing unit and shade the appropriate figures provided. If you come across a bedsitter, treat it as a bedroom as opposed to a living room.
Study and drawing rooms, living or family rooms, play rooms, etc. are to be considered as living rooms or bed rooms depending on the use and if they meet the above criteria.
All households
No bedroom
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
This variable indicates the number of bedrooms.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Housing unit has kitchen
Housing unit has kitchen
Housing unit has kitchen
Housing unit has kitchen
Housing unit has kitchen
8. Does this housing unit have a kitchen?
[] Yes
[] No
H8: Does this housing unit have a kitchen?
A kitchen is a space which conforms in all respects to a 'room' and is equipped for the preparation of meals and is intended primarily for that purpose. In cases where more than one household share a kitchen attach the kitchen to only one of them. Shade appropriately.
All households
1
Yes
2
No
This variable indicates if the housing unit has kitchen.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Main source of water
Main source of water
Main source of water
Main source of water
Main source of water
9. What is the main source of water supply for this house?
[] Piped water inside the housing unit
[] Piped water outside the housing unit within stand/plot
[] Communal tap
[] Protected well
[] Protected borehole
[] Unprotected well
[] Unprotected borehole
[] River/dam/Stream
[] Rainwater Tank
[] Other
2.8 Water Sources
a. Protected Well: The wall of this well is usually lined with a brick wall or concrete block wall up to the ground level. The finish on top is of a reinforced concrete slab with an opening large enough to let a bucket go through. The opening is always covered.
9
b. Unprotected Well: The well is not lined with a brick wall or concrete wall. The top has no concrete slab though it has a sizeable opening to let a bucket go through. The opening is usually uncovered.
c. Protected Boreholes: These are boreholes drilled to a depth not less than 30 meters. The sides are cased by iron casing pipes while the last bottom pipe is perforated. The top is concreted together with the suction pipe.
d. Unprotected Boreholes: They are similar in design to protected boreholes except that the top as well as the suction pipe are left uncovered and large enough to let a jar or small bucket go through.
e. Rain Water Tank: Usually used by individual tenants, to collect rain water from the roofs. These vary in sizes as there is no standard size. It is always advisable to have it covered after the collection.
f. Piped Water: Is usually supplied to households through pipes. The pipes are connected from the source to the individual's housing unit or a public place for a group of people.
H9: What is the main source of water supply for this housing unit?
Find out the main source of water for drinking and cooking for the household and shade the appropriate code.
All households
1
Piped inside
2
Piped outside within plot
3
Communal tap
4
Protected well
5
Protected borehole
6
Unprotected well
7
Unprotected borehole
8
River, dam, or stream
9
Rainwater tank
10
Other
This variable indicates the main source of water.
Utilities Variables -- HOUSEHOLD
IPUMS
Main source of energy for lighting
Main source of energy for lighting
Main source of energy for lighting
Main source of energy for lighting
Main source of energy for lighting
1. What is the main source of energy used for lighting by this household?
[] Electricity
[] Gas
[] Wood
[] Candle
[] Paraffin
[] Solar
[] Other
HH1: What is the main source of energy used for lighting by this household?
Ask for the main source of energy used by the household for lighting. Since availability of energy for lighting is what is to be determined, even if a housing unit has the necessary wiring but is not connected to the electric supply system, the household will not be considered to be using electricity. Shade the appropriate code in the box provided.
All households
1
Electricity
2
Gas
3
Wood
4
Candle
5
Paraffin
6
Solar
7
Other
This variable indicates the main source of energy for lighting.
Utilities Variables -- HOUSEHOLD
IPUMS
Main source of energy for cooking
Main source of energy for cooking
Main source of energy for cooking
Main source of energy for cooking
Main source of energy for cooking
2. What is the main source of energy used for cooking by this household?
[] Electricity
[] Gas
[] Wood
[] Paraffin
[] Cow dung
[] Charcoal
[] Coal
[] Solar
[] Other
HH2: What is the main source of energy used for cooking by this household?
It is the main source of energy used for cooking we are interested in. Shade the appropriate code in the box provided.
All households
1
Electricity
2
Gas
3
Wood
4
Paraffin
5
Cow dung
6
Charcoal
7
Coal
9
Other
This variable indicates the main source of energy for cooking.
Utilities Variables -- HOUSEHOLD
IPUMS
Main source of energy for heating
Main source of energy for heating
Main source of energy for heating
Main source of energy for heating
Main source of energy for heating
3. What is the main source of energy used for heating?
[] Electricity
[] Gas
[] Wood
[] Paraffin
[] Cow dung
[] Charcoal
[] Coal
[] Solar
[] Other
HH3: What is the main source of energy used for heating by this household?
It is the main source of energy used for heating we are interested in. Note that "heating" in this case does not refer to heating/warming food or water but to heat a room. Shade the appropriate code in the box provided.
All households
1
Electricity
2
Gas
3
Wood
4
Paraffin
5
Cow dung
6
Charcoal
7
Coal
8
Solar
9
Other
This variable indicates the main source of energy for heating.
Utilities Variables -- HOUSEHOLD
IPUMS
Refuse disposal method
Refuse disposal method
Refuse disposal method
Refuse disposal method
Refuse disposal method
4. How is the household refuse disposed?
[] Regularly collected
[] Irregularly collected
[] Burnt
[] Roadside dumping
[] Burying/pit
[] Other
HH4: How is the household refuse disposed?
Find out how the household disposes its refuse and shade the appropriate response.
All households
1
Regularly collected
2
Irregularly collected
3
Burnt
4
Roadside dumping
5
Burying or pit
6
Other
This variable indicates the refuse disposal method.
Utilities Variables -- HOUSEHOLD
IPUMS
Electricity
Electricity
Electricity
Electricity
Electricity
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has electricity.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Radio
Radio
Radio
Radio
Radio
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a radio.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Television
Television
Television
Television
Television
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a refrigerator or freezer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Refrigerator
Refrigerator
Refrigerator
Refrigerator
Refrigerator
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a refrigerator.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Telephone
Telephone
Telephone
Telephone
Telephone
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a telephone.
Utilities Variables -- HOUSEHOLD
IPUMS
Bicycle
Bicycle
Bicycle
Bicycle
Bicycle
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a bicycle.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Motor vehicle
Motor vehicle
Motor vehicle
Motor vehicle
Motor vehicle
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a motor vehicle.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Motorcycle
Motorcycle
Motorcycle
Motorcycle
Motorcycle
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a motorcycle.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Plough
Plough
Plough
Plough
Plough
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a plough.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Boat or canoe
Boat or canoe
Boat or canoe
Boat or canoe
Boat or canoe
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a boat or canoe.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Scotch cart
Scotch cart
Scotch cart
Scotch cart
Scotch cart
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a scotch cart.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Donkey
Donkey
Donkey
Donkey
Donkey
5. Does your household have?..?
Indicate with "Yes or "No".
Electricity? ____
A radio? ____
A television? ____
A refrigerator? ____
A telephone? ____
A bicycle? ____
A motor vehicle? ____
A motorcycle? ____
A plough? ____
A boat/canoe? ____
A scotch cart? ____
A donkey? ____
HH5: Does your household have?
Find out whether the household has any of the listed items and shade appropriately.
All households
1
Yes
2
No
This variable indicates if the household has a donkey.
Other Household Variables -- HOUSEHOLD
IPUMS
Toilet facilities
Toilet facilities
Toilet facilities
Toilet facilities
Toilet facilities
6. What is the main type of toilet used by members of this household?
[] Flush (private)
[] Flush (communal)
[] Pit latrine
[] Ventilated Improved Pit Latrine (VIP)
[] Bucket
[] Other ? Go to 7
[] No toilet Facility
Is this toilet inside or outside this housing unit?
[] Inside
[] Outside
HH6: What is the main type of toilet used by members of this household?
Everybody uses a toilet of some sort and we are interested in the type of toilet used by members of the household. Shade the appropriate code in the box provided. If the household has no toilet facility, or uses "other" toilet facility, do not ask HH-7. Instead, go to HH-9.
All households
1
Flush (private)
2
Flush (communal)
3
Pit latrine
4
Ventilated Improved Pit Latrine (VIP)
5
Bucket
6
Other
7
No toilet facility
This variable indicates if the household has a toilet.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Toilet location
Toilet location
Toilet location
Toilet location
Toilet location
6. What is the main type of toilet used by members of this household?
[] Flush (private)
[] Flush (communal)
[] Pit latrine
[] Ventilated Improved Pit Latrine (VIP)
[] Bucket
[] Other ? Go to 7
[] No toilet Facility
Is this toilet inside or outside this housing unit?
[] Inside
[] Outside
HH7: Is this toilet inside or outside this housing unit?
Find out whether the toilet is inside the housing unit or outside. Shade the appropriate code in the box provided depending on the response given.
Households with a toilet
1
Inside
2
Outside
9
NIU (not in universe)
This variable indicates the toilet location.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Toilet exclusively used by members
Toilet exclusively used by members
Toilet exclusively used by members
Toilet exclusively used by members
Toilet exclusively used by members
6. What is the main type of toilet used by members of this household?
[] Flush (private)
[] Flush (communal)
[] Pit latrine
[] Ventilated Improved Pit Latrine (VIP)
[] Bucket
[] Other ? Go to 7
[] No toilet Facility
Is this toilet inside or outside this housing unit?
[] Inside
[] Outside
8. Is this toilet exclusively used by members of the household?
[] Yes
[] No
HH8: Is this toilet exclusively used by members of this household?
Ask the respondent if this toilet is shared with members of other households. Shade the appropriate code in the box provided depending on the response given.
Households with a toilet
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the toilet exclusively used by members.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Housing unit owned by household member
Housing unit owned by household member
Housing unit owned by household member
Housing unit owned by household member
Housing unit owned by household member
9. Is this housing unit owned by any member of this household?
[] Yes
[] No ? Go to Question 11
HH9: Is this housing unit owned by any member of this household?
Ask the respondent if this housing unit is owned by any member or members of the household. If the response is "Yes", ask the respondent question HH-10, if the response is "No", skip question
HH10 and go to HH11.
All households
1
Yes
2
No
This variable indicates if the dwelling is owned by household member.
Household Economic Variables -- HOUSEHOLD
IPUMS
Method of acquiring housing
Method of acquiring housing
Method of acquiring housing
Method of acquiring housing
Method of acquiring housing
10. How was this housing unit acquired?
[] Purchased
[] Mortgage
[] Freely
[] Inherited
[] Self built
[] Other ? Go to Question 15
HH10: How was this housing unit acquired?
If the response to HH - 9 is "Yes", then ask how this housing unit was acquired. Then shade the appropriate code in the box provided depending on the response given. For any response to this question, skip to A 1.
Households that own the dwelling
1
Purchased
2
Mortgage
3
Freely
4
Inherited
5
Self built
6
Other
9
NIU (not in universe)
This variable indicates the method of acquiring housing.
Household Economic Variables -- HOUSEHOLD
IPUMS
Housing provided free
Housing provided free
Housing provided free
Housing provided free
Housing provided free
11. Is this housing unit provided free by the employer, friend or relative of any member of this household?
[] Yes, employer ? Go to Question 13
[] Yes, by friend or relative ? Go to Question 15
[] No
HH11: Is this housing unit provided free by the employer/friend or relative of any member of this household?
If the response to HH-9 is "No", that is, if the housing unit is not owned by any member of the household, then find out if the housing unit is provided free by the employer/friend or relative of any member(s) of the household. If the housing unit is provided by the employer, it may or may not involve payment of rent as sometimes employers charge full rent, sometimes a nominal rent and sometimes no rent at all. If the employer deducts any amount of money from the salary of any member of the household for rent, then the housing unit is not provided free.
When an employer provides a housing unit then it is not necessary to find out whether or not the employer is also the owner of that house/hot sing unit. For example, the housing unit may be owned by a private landlord but rented by a company which has provided this housing unit to its employee. As far as this household is concerned, the housing unit has been provided free by the employer.
36
If the housing unit is provided free by the employer then skip question HH - 12 and go to HH -13 since HH - 12 would not be relevant to such a household. If the response is "Yes", by friend or relative skip to A 1. If the response is "No", then you ask the next question. In either case, shade the appropriate code in the box provided.
Households that do not own the dwelling
1
Yes, employer
2
Yes, friend or relative
3
No
9
NIU (not in universe)
This variable indicates if the housing is provided free.
Household Economic Variables -- HOUSEHOLD
IPUMS
Housing unit rented from the employer
Housing unit rented from the employer
Housing unit rented from the employer
Housing unit rented from the employer
Housing unit rented from the employer
12. Is this housing unit rented from the employer of any member of this household?
[] Yes
[] No ? go to Question 14
HH12: Is this housing unit rented from the employer of any member of this household?
Find out if the housing unit is rented from the employer of any of the household members. If the response is "Yes" shade the first box. If the response is "No" shade the second box and go to HH14.
Rented households
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the housing unit rented from the employer.
Household Economic Variables -- HOUSEHOLD
IPUMS
Type of employer renting or providing housing
Type of employer renting or providing housing
Type of employer renting or providing housing
Type of employer renting or providing housing
Type of employer renting or providing housing
13. Is this employer :
[] The central government?
[] The District Council?
[] Parastatal?
[] A Private Organization?
[] An Individual?
HH13: Is the Employer
Ask the respondent who the employer is and shade the appropriate code. In cases of domestic servants who are provided with housing by their employers, the response category taken is "An Individual". Go to Al for all the responses to this question.
Households rented or provided by the employer
1
Central government
2
District council
3
Parastatal
4
Private organisation
5
Individual
9
NIU (not in universe)
This variable indicates the type of employer providing housing.
Household Economic Variables -- HOUSEHOLD
IPUMS
Type of landlord
Type of landlord
Type of landlord
Type of landlord
Type of landlord
14. Is this housing unit rented from
[] The central government?
[] The District Council?
[] Parastatal?
[] A Private Organization?
[] An Individual?
HH14: Is this Housing Unit Rented From....?
This question is asked of households who responded "No" in HH - 12, that is those who replied that the housing unit .s not rented from the employer of any member of the household. In cases of domestic servants who are provided with housing by their employers, the response category taken is "An Individual". After getting the response, shade the appropriate code.
Households renting from landlord other than the employer
1
Central government
2
District council
3
Parastatal
4
Private organisation
5
Individual
9
NIU (not in universe)
This variable indicates the type of landlord.
Household Economic Variables -- HOUSEHOLD
IPUMS
Strata
Strata
Strata
Strata
Strata
Strata
All households
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
HHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
Technical Household Variables -- HOUSEHOLD
IPUMS
Zambia, Province 1990 - 2010 [Level 1; consistent boundaries, GIS]
Zambia, Province 1990 - 2010 [Level 1; consistent boundaries, GIS]
Zambia, Province 1990 - 2010 [Level 1; consistent boundaries, GIS]
Zambia, Province 1990 - 2010 [Level 1; consistent boundaries, GIS]
Zambia, Province 1990 - 2010 [Level 1; consistent boundaries, GIS]
894001
Central
894002
Copperbelt
894003
Eastern, Muchinga, Northern
894004
Luapula
894005
Lusaka
894008
North Western
894009
Southern
894010
Western
GEO1_ZM identifies the household's province within Zambia in all sample years. Provinces are the first level administrative units of the country. GEO1_ZM is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_ZM can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Zambia can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
At the present moment, IPUMS International is only releasing integrated variables for the first level of geography for Zambia. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Zambia, Province 1990 - 2010 [Level 1; inconsistent boundaries, harmonized by name]
Zambia, Province 1990 - 2010 [Level 1; inconsistent boundaries, harmonized by name]
Zambia, Province 1990 - 2010 [Level 1; inconsistent boundaries, harmonized by name]
Zambia, Province 1990 - 2010 [Level 1; inconsistent boundaries, harmonized by name]
Zambia, Province 1990 - 2010 [Level 1; inconsistent boundaries, harmonized by name]
1
Central
2
Copperbelt
3
Eastern
4
Luapula
5
Lusaka
6
Muchinga
7
Northern
8
North Western
9
Southern
10
Western
GEO1_ZMX identifies the household's province within Zambia in all sample years. Provinces are the first level administrative units of the country. GEO1_ZMX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for Zambia can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
At the present moment, IPUMS International is only releasing integrated variables for the first level of geography for Zambia. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Zambia, District 1990 - 2010 [Level 2; inconsistent boundaries, harmonized by name]
Zambia, District 1990 - 2010 [Level 2; inconsistent boundaries, harmonized by name]
Zambia, District 1990 - 2010 [Level 2; inconsistent boundaries, harmonized by name]
Zambia, District 1990 - 2010 [Level 2; inconsistent boundaries, harmonized by name]
Zambia, District 1990 - 2010 [Level 2; inconsistent boundaries, harmonized by name]
101
Chibombo
102
Kabwe
103
Kapiri Mposhi
104
Mkushi
105
Mumbwa
106
Serenje
201
Chililabombwe
202
Chingola
203
Kalulushi
204
Kitwe
205
Luanshya
206
Lufwanyama
207
Masaiti
208
Mpongwe
209
Mufulira
210
Ndola
211
Ndola - Rural
301
Chadiza
302
Chipata
303
Katete
304
Lundazi
305
Mambwe
306
Nyimba
307
Petauke
401
Chienge
402
Kawambwa
403
Mansa
404
Milenge
405
Mwense
406
Nchelenge
407
Samfya
501
Chongwe
502
Kafue
503
Luangwa
504
Lusaka
601
Chama
602
Chinsali
603
Isoka
604
Mafinga
605
Mpika
606
Nakonde
701
Chilubi
702
Kaputa
703
Kasama
704
Luwingu
705
Mbala
706
Mporokoso
707
Mpulungu
708
Mungwi
801
Chavuma
802
Ikelenge
803
Kabompo
804
Kasempa
805
Mufumbwe
806
Mwinilunga
807
Solwezi
808
Zambezi
901
Choma
902
Gwembe
903
Itezhi Tezhi
904
Kalomo
905
Kazungula
906
Livingstone
907
Mazabuka
908
Monze
909
Namwala
910
Siavonga
911
Sinazongwe
1001
Kalabo
1002
Kaoma
1003
Lukulu
1004
Mongu
1005
Senanga
1006
Sesheke
1007
Shang'ombo
GEO2_ZMX identifies the household's district within Zambia in all sample years. Districts are the second level administrative units of the country, after provinces. GEO2_ZMX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for Zambia can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for Zambia. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.
Geography: M-Z 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
NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).
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
NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).
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
No fathers in household
1
1 father
2
2 fathers
3
3 fathers
4
4 fathers
5
5 fathers
6
6 fathers
7
7 fathers
8
8 fathers
9
9 or more fathers in household
NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Country
Country
Country
Country
Country
32
Argentina
40
Austria
50
Bangladesh
51
Armenia
68
Bolivia
76
Brazil
112
Belarus
116
Cambodia
120
Cameroon
124
Canada
152
Chile
156
China
170
Colombia
188
Costa Rica
192
Cuba
214
Dominican Republic
218
Ecuador
222
El Salvador
231
Ethiopia
242
Fiji
250
France
275
Palestine
276
Germany
288
Ghana
300
Greece
324
Guinea
332
Haiti
348
Hungary
356
India
360
Indonesia
364
Iran
368
Iraq
372
Ireland
376
Israel
380
Italy
388
Jamaica
400
Jordan
404
Kenya
417
Kyrgyz Republic
430
Liberia
454
Malawi
458
Malaysia
466
Mali
484
Mexico
496
Mongolia
504
Morocco
508
Mozambique
524
Nepal
528
Netherlands
558
Nicaragua
566
Nigeria
586
Pakistan
591
Panama
600
Paraguay
604
Peru
608
Philippines
620
Portugal
630
Puerto Rico
642
Romania
646
Rwanda
662
Saint Lucia
686
Senegal
694
Sierra Leone
704
Vietnam
705
Slovenia
710
South Africa
724
Spain
728
South Sudan
729
Sudan
756
Switzerland
764
Thailand
792
Turkey
800
Uganda
804
Ukraine
818
Egypt
826
United Kingdom
834
Tanzania
840
United States
854
Burkina Faso
858
Uruguay
862
Venezuela
894
Zambia
COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
Technical Household Variables -- HOUSEHOLD
IPUMS
Electricity
Electricity
Electricity
Electricity
Electricity
NIU (not in universe)
1
Yes
2
No
9
Unknown
ELECTRIC indicates whether the household had access to electricity.
Utilities Variables -- HOUSEHOLD
IPUMS
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
No bedrooms
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+
98
Unknown
99
NIU (not in universe)
BEDROOMS indicates the number of rooms available to members of the household for sleeping.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
NIU (not in universe)
1
Owned
2
Not owned
9
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
NIU (not in universe)
100
Owned
110
Owned, already paid
120
Owned, still paying
130
Owned, constructed
140
Owned, inherited
190
Owned, other
191
Owned, house
192
Owned, condominium
193
Apartment proprietor
194
Shared ownership
200
Not owned
210
Renting, not specified
211
Renting, government
212
Renting, local authority
213
Renting, parastatal
214
Renting, private
215
Renting, private company
216
Renting, individual
217
Renting, collective
218
Renting, joint state and individual
219
Renting, public subsidized
220
Renting, private subsidized
221
Renting, co-tenant
222
Renting, relative of tenant
223
Renting, cooperative
224
Renting, with a job or business
225
Renting, loan-backed habitation
226
Renting, mixed contract
227
Furnished dwelling
228
Sharecropping
230
Subletting
231
Rent to own
239
Renting, other
240
Occupied de facto/squatting
250
Free/usufruct (no cash rent)
251
Free, provided by employer
252
Free, without work or services
253
Free, provided by family or friend
254
Free, private
255
Free, public
256
Free, condemned
257
Free, other
290
Not owned, other
999
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Cooking fuel
Cooking fuel
Cooking fuel
Cooking fuel
Cooking fuel
NIU (not in universe)
10
None
20
Electricity
30
Petroleum gas, unspecified
31
Gas -- piped/utility
32
Gas -- tanked or bottled
33
Propane
35
Liquefied petroleum gas
40
Petroleum liquid
41
Oil, kerosene, and other liquid fuels
42
Kerosene/paraffin
43
Kerosene or oil
44
Kerosene or gasoline
45
Gasoline
46
Cocinol
50
Wood, coal, and other solid fuels
51
Wood and other plant fuels
52
Non-wood plant materials
53
Coal or charcoal
54
Charcoal
55
Coal
56
Wood or charcoal
60
Multiple fuels
61
Bottled gas and wood
62
Propane and electricity
63
Propane, kerosene, and electricity
64
Propane and kerosene
65
Kerosene and electrictiy
66
Other combinations
70
Other
71
Alcohol
72
Biogas
73
Discarded or waste material
74
Dung/manure
75
Dung or grass
76
Solar energy
77
Candle
99
Unknown/missing
FUELCOOK indicates the predominant type of fuel or energy used for cooking.
Utilities Variables -- HOUSEHOLD
IPUMS
Fuel for heating
Fuel for heating
Fuel for heating
Fuel for heating
Fuel for heating
NIU (not in universe)
1
None
2
Electricity
3
Fuel oil, kerosene, other liquid fuels
4
Kerosene/paraffin
5
Diesel
6
Gas
7
Bottled gas, in tank, liquified
8
Solid fuel
9
Coal
10
Wood
11
Wood or coal
12
Solar
13
Animal dung
14
Charcoal
15
Other
16
Multiple sources
99
Unknown
FUELHEAT indicates the main fuel source for heating the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Strata identifier
Strata identifier
Strata identifier
Strata identifier
Strata identifier
This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.
Technical Household Variables -- HOUSEHOLD
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 Person 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
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. In most samples, women were to report all live births by all fathers, whether or not the child was still living.
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
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)
CHBORNM indicates the number of male children ever born to a woman. Only live births are counted.
Fertility and Mortality Variables -- PERSON
IPUMS
Country of citizenship
Country of citizenship
Country of citizenship
Country of citizenship
Country of citizenship
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
11999
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo (Republic of)
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12999
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13011
Algeria/Tunisia
13020
Egypt/United Arab Rep.
13021
Egypt/Sudan
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13999
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14999
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15991
Burkina-Faso, Niger, Ivory-Coast, Benin, Togo
15992
Liberia, Sierra-Leone, Nigeria, Ghana
15999
West Africa, n.s.
19990
Africa, n.s.
19991
Central and South Africa
19992
Arab African countries
19993
Non-Arab African countries
19994
Other Arab countries
19995
East, Central and South 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. Lucia
21210
St. Vincent
21220
Trinidad and Tobago
21230
Turks and Caicos
21999
Caribbean, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22999
Central America, n.s.
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23990
South America, n.s.
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24041
U.S. Outlying Areas and Territories
24090
U.S. and Canada
24999
North America, n.s.
29900
Americas, n.s.
29901
America/Oceania
29902
Central/South America, n.s.
29903
Central-America and Carribean
29904
Central/South America and Caribbean
29905
North and Central America, n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
31999
Eastern Asia, n.s.
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32041
India/Pakistan
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
32990
Burma, India, Pakistan, Ceylon
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
33991
Laos and Cambodia
33992
Malaysia and Singapore
33999
South-Eastern Asia, n.s.
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestine
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34151
Syria/Lebanon
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34999
Western Asia, n.s.
39900
Asia, n.s.
39901
South-East/South Asia, n.s.
39902
West Central/Middle East Asia
39903
Arab Countries
39904
Non-Arab Asian countries
39905
Former Soviet Republics, Asia
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41021
Bulgaria/Greece
41030
Czech Republic/Czechoslovakia
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41999
Eastern Europe, n.s.
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42100
Svalbard and Jan Mayen Islands
42110
Sweden
42120
United Kingdom
42990
Nordic countries
42999
Northern Europe, n.s.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia and Herzegovina
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43071
Vatican
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43143
Kosovo
43144
Serbia and Montenegro
43999
Southern Europe, n.s.
44000
Western Europe
44010
Austria
44020
Belgium
44030
France
44040
Germany
44041
West Germany
44042
East Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44999
Western Europe, n.s.
49990
Europe, n.s.
49991
Central-Eastern Europe
49992
European Union (Original 15)
49993
Other European Union
49994
Former Soviet Republics, Europe
49995
EEA, Switzerland, associated microstates
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
53999
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.
54999
Polynesia, n.s.
59999
Oceania, n.s.
60000
Asia n.s. or Oceania n.s.
70000
Other Countries
70010
Europe, Australia and New Zealand
70020
Australia, New Zealand, and stateless
99997
No citizenship/nationality
99998
Foreign, country unknown
99999
Unknown
NATION indicates the person's country of citizenship.
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
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (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
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (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 situation
117
At work, family holding, not specified
118
At work, family holding, not agricultural
119
At work, family holding, agricultural
120
Have job, not at work in reference period
130
Armed forces
131
Armed forces, at work
132
Armed forces, not at work in reference period
133
Military trainee
140
Marginally employed
200
Unemployed, not specified
201
Unemployed 6 or more months
202
Worked fewer than 6 months, permanent job
203
Worked fewer than 6 months, temporary job
210
Unemployed, experienced worker
220
Unemployed, new worker
230
No work available
240
Inactive unemployed
300
Inactive (not in labor force)
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
Intermittent worker
371
Not working, seasonal worker
372
Not working, occasional worker
380
Other income recipient
390
Inactive, other reasons
391
Too young to work
392
Dependent
999
Unknown/missing
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
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (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.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (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
125
Own account, without temporary/unpaid help
126
Own account, with temporary/unpaid help
130
Member of cooperative
140
Sharecropper
141
Sharecropper, self-employed
142
Sharecropper, employee
150
Kibbutz member
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, occasional, temporary, contract
209
Employee without legal contract
210
Wage/salary worker, private employer
211
Apprentice
212
Religious worker
213
Wage/salary worker, non-profit, NGO
214
White collar, private
215
Blue collar, private
216
Paid family worker
217
Cooperative employee
220
Wage/salary worker, government
221
Federal, government employee
222
State government employee
223
Local government employee
224
White collar, public
225
Blue collar, public
226
Public companies
227
Civil servants, local collectives
230
Domestic worker (work for private household)
240
Seasonal migrant
241
Seasonal migrant, no broker
242
Seasonal migrant, uses broker
250
Other wage and salary
251
Canal zone/commission employee
252
Government employment/training program
253
Mixed state/private enterprise/parastatal
254
Government public work program
300
Unpaid worker
310
Unpaid family worker
320
Apprentice, unpaid or unspecified
330
Trainee
340
Apprentice or trainee
350
Works for others without wage
400
Other
999
Unknown/missing
CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
Mental disability
Mental disability
Mental disability
Mental disability
Mental disability
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity.
Disability Variables -- PERSON
IPUMS
Psychological disability
Psychological disability
Psychological disability
Psychological disability
Psychological disability
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISPSYC indicates whether the person was disabled due to mental illness.
Disability Variables -- PERSON
IPUMS
Origin of disability
Origin of disability
Origin of disability
Origin of disability
Origin of disability
NIU (not in universe)
10
Congenital, since birth
20
Disease
21
Polio, infant paralysis
22
Parkinsons
23
Sclerosis
24
Stroke
25
Epilepsy
26
Hanson disease
29
Other disease
30
Accident
31
Work accident
32
Transport accident
33
Other accident
40
Other
41
Aging
42
Mental infirmity
43
War injury
44
Genocide
45
Anti-personnel mine
46
Domestic violence
47
Violence of delinquency
48
Other form of violence
49
Other cause, n.e.c.
50
Unknown
60
Multiple causes
99
No disability
DISORIG indicates the cause or origin of a person's stated disability.
Disability Variables -- PERSON
IPUMS
District of birth, Zambia
District of birth, Zambia
District of birth, Zambia
District of birth, Zambia
District of birth, Zambia
101
Chibombo
102
Kabwe
103
Kapiri-posh
104
Mkushi
105
Mumbwa
106
Serenje
199
Unknown district in Central province
201
Chililabombwe
202
Chingola
203
Kalulushi
204
Kitwe
205
Luanshya
206
Lufwanyama
207
Masaiti
208
Mpongwe
209
Mufulira
210
Ndola
299
Unknown district in Copperbelt province
301
Chadiza
303
Chipata
304
Katete
305
Lundazi
306
Mambwe
307
Nyimba
308
Petauke
399
Unknown district in Eastern province
401
Chienge
402
Kawambwa
403
Mansa
404
Milenge
405
Mwense
406
Nchelenge
407
Samfya
499
Unknown district in Luapala province
501
Chongwe
502
Kafue
503
Luangwa
504
Lusaka
599
Unknown district in Lusaka province
601
Chama
602
Chinsali
603
Isoka
605
Mpika
606
Nakonde
701
Chilubi
702
Kaputa
703
Kasama
704
Luwingu
705
Mbala
706
Mporokoso
707
Mpulungu
708
Mungwi
799
Unknown district in Northern province
801
Chavuma
803
Kabompo
804
Kasempa
805
Mufumbwe
806
Mwinilunga
807
Solwezi
808
Zambezi
899
Unknown district in North-Western province
901
Choma
902
Gwembe
903
Itezhi-tezhi
904
Kalomo
905
Kazungula
906
Livingstone
907
Mazabuka
908
Monze
909
Namwala
910
Siavonga
911
Sinazongwe
999
Unknown district in Southern province
1001
Kalabo
1002
Kaoma
1003
Lukulu
1004
Mongu
1005
Senanga
1006
Sesheke
1007
Shang'ombo
1099
Unknown district in Western province
9996
Unknown (Zambia)
9997
Foreign country
9998
Unknown
9999
NIU (not in universe)
BPLZM indicates the person's district of birth within Zambia.
Nativity and Birthplace Variables -- PERSON
IPUMS
Primary language spoken, Zambia
Primary language spoken, Zambia
Primary language spoken, Zambia
Primary language spoken, Zambia
Primary language spoken, Zambia
NIU (not in universe)
1
Bemba
2
Lunda (Luapula)
3
Lala
4
Bisa
5
Ushi
6
Chishinga
7
Ngumbo
8
Lamba
9
Kabende
10
Tabwa
11
Swaka
12
Mukulu
13
Ambo
14
Lima
15
Shila
16
Unga
17
Bwile
18
Luano
19
Tonga
20
Lenje
21
Soli
22
Ila
23
Toka-Leya
24
Sala
25
Gowa
26
Luvale
27
Lunda (Northwestern)
28
Mbunda
29
Luchazi
30
Ndembu
31
Mbowe
32
Chokwe
33
Kaonde
34
Luyana
35
Kwangwa
36
Kwandi
37
Koma
38
Nyengo
39
Simaa
40
Mwenyi
41
Imilangu
42
Mashi
43
Lozi
44
Totela
45
Subiya
46
Nkoya
47
Mashasha
48
Chewa
49
Nsenga
50
Ngonji
51
Nyanja
52
Kunda
53
Chikunda
54
Lungu
55
Mambwe
56
Namwanga
57
Wina
58
Tambo
59
Tumbuka
60
Senga
61
Yombe
62
English
63
Other
64
Other African language
65
Language of the Americas other than English
66
Asian language
67
European language
98
Unknown
LANGZM1 indicates the person's primary language of communication in Zambia.
Ethnicity and Language Variables -- PERSON
IPUMS
Second language spoken, Zambia
Second language spoken, Zambia
Second language spoken, Zambia
Second language spoken, Zambia
Second language spoken, Zambia
NIU (not in universe)
1
Bemba
2
Lunda (Luapula)
3
Lala
4
Bisa
5
Ushi
6
Chishinga
7
Ngumbo
8
Lamba
9
Kabende
10
Tabwa
11
Swaka
12
Mukulu
14
Lima
15
Shila
16
Unga
17
Bwile
18
Luano
19
Tonga
20
Lenje
21
Soli
22
Ila
23
Toka-Leya
24
Sala
25
Gowa
26
Luvale
27
Lunda (Northwestern)
28
Mbunda
29
Luchazi
30
Ndembu
31
Mbowe
32
Chokwe
33
Kaonde
34
Luyana
35
Kwangwa
36
Kwandi
37
Koma
38
Nyengo
39
Simaa
40
Mwenyi
41
Imilangu
42
Mashi
43
Lozi
44
Totela
45
Subiya
46
Nkoya
48
Chewa
49
Nsenga
50
Ngonji
51
Nyanja
52
Kunda
53
Chikunda
54
Lungu
55
Mambwe
56
Namwanga
57
Wina
58
Tambo
59
Tumbuka
60
Senga
61
Yombe
62
English
63
Other
98
Unknown
LANGZM2 indicates the person's second language of communication in Zambia.
Ethnicity and Language Variables -- PERSON
IPUMS
District of previous residence, Zambia
District of previous residence, Zambia
District of previous residence, Zambia
District of previous residence, Zambia
District of previous residence, Zambia
101
Chibombo
102
Kabwe
103
Kapiri-posh
104
Mkushi
105
Mumbwa
106
Serenje
107
Kabwe - Rural
201
Chililabombwe
202
Chingola
203
Kalulushi
204
Kitwe
205
Luanshya
206
Lufwanyama
207
Masaiti
208
Mpongwe
209
Mufulira
210
Ndola
211
Ndola - Rural
301
Chadiza
302
Chama
303
Chipata
304
Katete
305
Lundazi
306
Mambwe
307
Nyimba
308
Petauke
401
Chiengi
402
Kawambwa
403
Mansa
404
Milenge
405
Mwense
406
Nchelenge
407
Samfya
501
Chongwe
502
Kafue
503
Luangwa
504
Lusaka
505
Lusaka - Rural
602
Chinsali
603
Isoka
605
Mpika
606
Nakonde
701
Chilubi
702
Kaputa
703
Kasama
704
Luwingu
705
Mbala
706
Mporokoso
707
Mpulungu
708
Mungwi
801
Chavuma
803
Kabompo
804
Kasempa
805
Mufumbwe (Chizera)
806
Mwinilunga
807
Solwezi
808
Zambezi
901
Choma
902
Gwembe
903
Itezhi Tezhi
904
Kalomo
905
Kazungula
906
Livingstone
907
Mazabuka
908
Monze
909
Namwala
910
Siavonga
911
Sinazongwe
1001
Kalabo
1002
Kaoma
1003
Lukulu
1004
Mongu
1005
Senanga
1006
Sesheke
1007
Shang'ombo
9997
Foreign country
9998
Unknown
9999
NIU (not in universe)
MIGZM indicates the district in Zambia where the person lived one year ago.
Migration 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
Citizenship
Citizenship
Citizenship
Citizenship
Citizenship
1
Citizen, not specified
2
Citizen by birth
3
Naturalized citizen
4
Not a citizen
5
Without citizenship, stateless
8
Unknown
9
NIU (not in universe)
CITIZEN indicates the person's citizenship status within the country in which they were enumerated.
Nativity and Birthplace Variables -- PERSON
IPUMS
Occupation, ISCO-1968, 3-digit
Occupation, ISCO-1968, 3-digit
Occupation, ISCO-1968, 3-digit
Occupation, ISCO-1968, 3-digit
Occupation, ISCO-1968, 3-digit
11
Chemists
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
25
Chemical engineers
26
Metallurgists
27
Mining engineers
28
Industrial engineers
29
Engineers not elsewhere classified
31
Surveyors
32
Draughtsmen
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 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, n.e.c.
51
Biologists, zoologists and related scientists
52
Bacteriologists, pharmacologists and related scientists
53
Agronomists and related scientists
54
Life sciences technicians
59
Life sciences technicians and related technicians, n.e.c.
61
Medical doctors
62
Medical assistants
63
Dentists
64
Dental assistants
65
Veterinarians
66
Veterinary assistants
67
Pharmacists
68
Pharmaceutical assistants
69
Dietitians 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 Xray technicians
79
Medical, dental, veterinary and related workers not elsewhere classified
81
Statisticians
82
Mathematicians and actuaries
83
Systems Analysts
84
Statistical and mathematical technicians
89
Statisticians, mathematicians, systems analysts and related technicians, n.e.c.
90
Economists
99
Other social scientists, n.e.c.
110
Accountants
121
Lawyers
122
Judges
129
Jurists not elsewhere classified
131
University and higher education teachers
132
Secondary education teachers
133
Primary education teachers
134
Preprimary education teachers
135
Special education teachers
139
Teachers not elsewhere classified
141
Ministers of religion and related members of religious orders
149
Workers in religion not elsewhere classified
151
Authors and critics
159
Authors, journalists and related writers not elsewhere classified
161
Sculptors, painters and related artists
162
Commercial artists and designers
163
Photographers and cameramen
169
Sculptors, painters and related artists, n.e.c.
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
194
Personnel and occupational specialists
195
Philologists, translators and interpreters
199
Other professional, technical and related workers
201
Legislative officials
202
Government administrators
211
General managers
212
Production managers (except farm)
219
Managers not elsewhere classified
299
Administrative and managerial, n.e.c.
300
Clerical supervisors
310
Government executive officials
321
Stenographers, typists and teletypists
322
Card and tapepunching machine operators
323
Telex operators
329
Stenegraphers, typists and teletypists, n.e.d.
331
Bookkeepers and cashiers
339
Bookkeepers, cashiers and related workers not elsewhere classified
341
Bookkeeping and calculating machine operators
342
Automatic dataprocessing machine operators
349
Computing machine operators, n.e.c.
351
Railway station masters
352
Postmasters
359
Transport and communications supervisors not elsewhere classified
360
Transport conductors
370
Mail distribution clerks
380
Telephone and telegraph 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 clerks
399
Clerks not elsewhere classified
400
Managers (wholesale and retail trade)
410
Working proprietors (wholesale and retail trade)
421
Sales supervisors
422
Buyers
431
Technical salesmen and service advisers
432
Commercial travellers and Manufacturers' agents
439
Technical salesmen, commercial travellers and manufacturers' agents, n.e.c.
441
Insurance, real estate and securities salesmen
442
Business services salesmen
443
Auctioneers
451
Salesmen, shop assistants and demonstrators
452
Street vendors, canvassers and newsvendors
454
Itinerant traders
459
Salesmen, shop assistants and demonstrators, n.e.c.
490
Sales workers not elsewhere classified
500
Managers (catering and lodging services)
510
Working proprietors (catering and lodging services)
520
Housekeeping and related service supervisors
531
Cooks
532
Waiters, bartenders and related workers
540
Maids and related housekeeping service workers not elsewhere classified
551
Building caretakers
552
Charworkers, cleaners and related workers
560
Launderers, drycleaners and pressers
570
Hairdressers, barbers, beauticians and related workers
581
Firefighters
582
Policemen and detectives
589
Protective service workers not elsewhere classified
591
Guides
592
Undertakers and embalmers
599
Other service workers
600
Farm managers and supervisors
611
General farmers
612
Specialised farmers
621
General farm workers
622
Field crop and vegetable farm workers
623
Orchard, vineyard and related tree and shrub crop workers
624
Livestock workers
625
Dairy farm workers
626
Poultry farm workers
627
Nursery workers and gardeners
628
Farm machinery operators
629
Agricultural and animal husbandry workers not elsewhere classified
631
Loggers
632
Forestry workers (except logging)
639
Forestry and loggers, n.e.c.
641
Fishermen
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
721
Metal smelting, converting and refining furnacemen
722
Metal rollingmill workers
723
Metal melters and reheaters
724
Metal casters
725
Metal moulders and coremakers
726
Metal annealers, temperers and casehardeners
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 woodprocessing workers
733
Paper pulp preparers
734
Paper makers
739
Wood preparation workers and paper makers, n.e.c.
741
Crushers, grinders and mixers
742
Cookers, roasters and related heattreaters
743
Filter and separator operators
744
Still and reactor operators
745
Petroleumrefining workers
749
Chemical processers and related workers not elsewhere classified
751
Fibre preparers
752
Spinners and winders
753
Weaving and knittingmachine setters and patterncard preparers
754
Weavers and related workers
755
Knitters
756
Bleachers, dyers and textile product finishers
759
Spinners, weavers, knitters, dyers and related workers not elsewhere classified
761
Tanners and fellmongers
762
Pelt dressers
769
Tanners, fellmongers and pelt dressers, n.e.c.
771
Grain millers and related workers
772
Sugar processers and refiners
773
Butchers and meat preparers
774
Food preservers
775
Dairy product processers
776
Bakers, pastrycooks and confectionery makers
777
Tea, coffee and cocoa preparers
778
Brewers, wine and beverage makers
779
Food and beverage processers not elsewhere classified
781
Tobacco preparers
782
Cigar makers
783
Cigarette 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
Shoemakers and shoe repairers
802
Shoe cutters, lasters, sewers and related workers
803
Leather goods makers
811
Cabinetmakers
812
Woodworkingmachine operators
819
Cabinetmakers and related woodworkers not elsewhere classified
820
Stone cutters and carvers
831
Blacksmiths, hammersmiths and forgingpress operators
832
Toolmakers, metal patternmakers and metal markers
833
Machinetool setteroperators
834
Machinetool operators
835
Metal grinders, polishers and tool sharpeners
839
Blacksmiths, toolmakers and machinetool 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
Machinery fitters, machine assemblers and precision instrument makers (except electrical) not elsewhere classified
851
Electrical fitters
852
Electronics fitters
853
Electrical and electronics equipment assemblers
854
Radio and television repairmen
855
Electrical wiremen
856
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 flamecutters
873
Sheetmetal workers
874
Structural metal preparers and erectors
880
Jewellery and precious metal workers
891
Glass formers, cutters, grinders and finishers
892
Potters and related clay and 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
Tire makers and vulcanisers
910
Paper and paperboard products makers
921
Compositors and typesetters
922
Printing pressmen
923
Stereotypers and electrotypers
924
Printing engravers (except photoengravers)
925
Photoengravers
926
Bookbinders 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
Nonmetallic mineral product makers
949
Other production and related workers
951
Bricklayers, stonemasons and tile setters
952
Reinforcedconcreters, 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
Powergenerating machinery operators
969
Stationary engine and related equipment operators not elsewhere classified
971
Dockers and freight handlers
972
Riggers and cable splicers
973
Crane and hoist operators
974
Earthmoving and related machinery operators
979
Materialhandling equipment operators not elsewhere classified
981
Ships' deck ratings, barge crews and boatmen
982
Ships' engineroom ratings
983
Railway engine drivers and firemen
984
Railway brakemen, signalmen and shunters
985
Motor vehicle drivers
986
Animal and animaldrawn vehicle drivers
989
Transport equipment operators not elsewhere classified
990
Labourers not elsewhere classified
995
Armed forces
997
Response suppressed
998
Unknown
999
NIU (not in universe)
ISCO68A provides the 3-digit occupation code for the respondent using the ISCO-1968 occupation classification.
Work 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 design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
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 design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
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, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
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; stepchild/child-in-law).
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
NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
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
2300
Same-sex spouse/partner
3000
Child
3100
Biological child
3200
Adopted child
3300
Stepchild
3400
Child/child-in-law
3500
Child/child-in-law/grandchild
3600
Child of unmarried partner
4000
Other relative
4100
Grandchild
4110
Grandchild or great grandchild
4120
Great grandchild
4130
Great-great grandchild
4200
Parent/parent-in-law
4210
Parent
4211
Stepparent
4220
Parent-in-law
4300
Child-in-law
4301
Daughter-in-law
4302
Spouse/partner of child
4310
Unmarried partner of child
4400
Sibling/sibling-in-law
4410
Sibling
4420
Stepsibling
4430
Sibling-in-law
4431
Sibling of spouse/partner
4432
Spouse/partner of sibling
4500
Grandparent
4510
Great grandparent
4600
Parent/grandparent/ascendant
4700
Aunt/uncle
4800
Other specified relative
4810
Nephew/niece
4820
Cousin
4830
Sibling 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
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
[program universe for et,mz samples.
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
111
Never married and never cohabited
200
Married or consensual union
210
Married, formally
211
Married, civil
212
Married, religious
213
Married, civil and religious
214
Married, civil or religious
215
Married, traditional/customary
216
Married, monogamous
217
Married, polygamous
220
Consensual union
300
Separated/divorced/spouse absent
310
Separated or divorced
320
Separated or annulled
330
Separated
331
Separated legally
332
Separated de facto
333
Separated from marriage
334
Separated from consensual union
335
Separated from consensual union or marriage
340
Annulled
350
Divorced
360
Married, spouse absent
400
Widowed
410
Widowed or divorced
411
Widowed from consensual union or marriage
412
Widowed from marriage
413
Widowed from consensual union
420
Widowed, divorced, or separated
999
Unknown/missing
[program universe for et,mz samples.
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
Consensual union
Consensual union
Consensual union
Consensual union
Consensual union
1
Yes, in consensual union
2
No, married
8
Unknown
9
NIU (not in universe)
CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.
Demographic Variables -- PERSON
IPUMS
Number of children dead
Number of children dead
Number of children dead
Number of children dead
Number of children dead
None
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+
98
Unknown/missing
99
NIU (not in universe)
CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of own female children in household
Number of own female children in household
Number of own female children in household
Number of own female children in household
Number of own female children in household
None
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
17
17
20
20
22
22
98
Unknown
99
NIU (not in universe)
HOMEFEM indicates the number of female children born living in the household with their mother (the respondent).
Fertility and Mortality Variables -- PERSON
IPUMS
Number of own female children living elsewhere
Number of own female children living elsewhere
Number of own female children living elsewhere
Number of own female children living elsewhere
Number of own female children living elsewhere
None
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
98
Unknown
99
NIU (not in universe)
AWAYFEM indicates the number of surviving biological female children not living in the household with their mother (the respondent).
Fertility and Mortality Variables -- PERSON
IPUMS
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
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 typically the one 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 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
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 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
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+
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
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 groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.
"Industry" refers to the activity or product of the establishment or sector in which a person worked.
Work 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
Educational attainment, Zambia
Educational attainment, Zambia
Educational attainment, Zambia
Educational attainment, Zambia
Educational attainment, Zambia
NIU (not in universe)
100
None
110
Nursery or grade 1
201
Grade 1
202
Grade 2
203
Grade 3
204
Grade 4
205
Grade 5
206
Grade 6
207
Grade 7
208
Grade 8
209
Grade 9
210
Grade 10
211
Grade 11
212
Grade 12 or GCE ordinary
220
GCE advanced or undergraduate student
300
Certificate or diploma
310
Bachelor
320
Postgraduate
321
Master
322
Doctorate or higher
EDUCZM indicates the person's educational attainment in terms of the level of schooling completed.
Education 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
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+
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
Residence status: de facto, de jure
Residence status: de facto, de jure
Residence status: de facto, de jure
Residence status: de facto, de jure
Residence status: de facto, de jure
1
Present resident
2
Absent resident
3
Visitor/non-resident
4
De facto population (present persons)
9
Unknown/missing
RESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents. It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night.
De jure population: present residents and absent residents.
De facto population: present residents and visitors/non-residents.
Technical Person Variables -- PERSON
IPUMS
Relationship to head of subfamily
Relationship to head of subfamily
Relationship to head of subfamily
Relationship to head of subfamily
Relationship to head of subfamily
1000
Head
2000
Spouse/partner
2100
Spouse
2200
Unmarried partner
3000
Child
3100
Biological child
3200
Adopted or step child
4000
Other relative
4100
Grandchild
4200
Parent/parent-in-law
4210
Parent
4220
Parent-in-law
4300
Child-in-law
4400
Sibling/sibling-in-law
4410
Sibling
4430
Sibling-in-law
4500
Grandparent
4600
Parent/grandparent
4810
Nephew/niece
4900
Other relative, n.e.c.
5000
Non-relative
5120
Visitor
5210
Domestic employee
5220
Relative of employee, n.s.
5300
Roomer/boarder/lodger/foster child
5310
Boarder
5311
Boarder or guest
5400
Employee, boarder or guest
5510
Agregado
5600
Group quarters
6000
Other relative or non-relative
9999
Unknown
SUBFREL describes the relationship of the individual to the head of the subfamily (in most cases, conjugal unit). It is distinct from RELATE, which identifies a person's relationship to the head of the household. There can be multiple subfamilies within households. The particular subfamily to which a person belongs is recorded in SUBFNUM.
Persons living alone without other family are identified as "heads" of family.
Demographic Variables -- PERSON
IPUMS
Subfamily membership number
Subfamily membership number
Subfamily membership number
Subfamily membership number
Subfamily membership number
Non-family
1
1st subfamily
2
2nd subfamily
3
3rd subfamily
4
4th subfamily
5
5th subfamily
6
6th subfamily
7
7th subfamily
8
8th subfamily
9
9th subfamily
10
10th subfamily
11
11th subfamily
12
12th subfamily
13
13th subfamily
SUBFNUM gives the number of the subfamily to which the person belongs within the household (1 = first subfamily, 2 = second subfamily, etc.). SUBFNUM records the identification of subfamilies in the original dataset, which generally correspond to conjugal units and their offspring.
Demographic 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 records
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
This variable indicates the person number (within household).
Technical Person Variables -- PERSON
IPUMS
Residence status
Residence status
Residence status
Residence status
Residence status
2. Membership status?
[] Usual member present last night
[] Visitor
[] Usual member absent
P2: Membership Status
There are three categories to this status:
1. Usual member of the household who spent the previous night with the household;
2. Visitor who spent the night with the household; and
3. Usual member of the household who did not spend the previous night with the household.
In this column, shade the appropriate space for each individual depending on his/her membership status.
All persons
1
Usual member present last night
2
Visitor
3
Usual member absent
This variable indicates the membership status.
Other Person Variables -- PERSON
IPUMS
Relationship to head
Relationship to head
Relationship to head
Relationship to head
Relationship to head
3. Relationship to Head of Household
[] Head
[] Spouse
[] Own Son/Daughter
[] Step Son/Daughter
[] Parent
[] Brother/Sister
[] Nephew/Niece
[] Son/Daughter in Law
[] Grandchild
[] Other relative
[] Unrelated
P3: Relationship
Find out the relationship of the person to the head of the household and shade the appropriate space. Other relatives will cover relationship by blood, marriage, adoption, etc.
All persons
1
Head
2
Spouse
3
Own son or daughter
4
Step son or daughter
5
Parent
6
Brother or sister
7
Nephew or niece
8
Son or daughter in Law
9
Grandchild
10
Other relative
11
Unrelated
This variable indicates the relationship to head.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
4. Sex
[] Male
[] Female
P4: Sex
Shade the appropriate space for sex. Take particular care to record the correct sex of young children. In some cases you will not be able to tell whether a baby is male or female. You should ascertain what the sex of the child is. Ask if you are not sure. The name or appearance may not reflect the sex of a child.
All persons
1
Male
2
Female
This variable indicates the person's sex.
Demographic Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
5. Age
Enter age in completed years, 00 if less than one year and 90 if 90 years or older: _ _
P5 Age
Age is a very important personal characteristic that we are concerned with in the Census. Two columns are provided for entering the age. For all those persons who are one year old or older, the age will be recorded in completed years and '00' will be recorded for babies less than a year.
The age will be entered in two digits, 01, 02, 09, 10, 11,.....'89. For those who are 90 years and
older. 9 and 0 will be shaded.
40
[Omitted Examples]
Where there may be some doubt, ages of children can be reasonably estimated by looking at them and comparing them to other children of known ages in the household.
Some people will, however, not know their ages. In such cases you will have to estimate their ages. Ask such a person how long they have been living in the area, about what time in their life they came here, what they did then, for how long, how old they were when they left their parents' home, etc. In this manner, you can build their life history. It is also possible to determine their age by referring to some historical events that they may remember, e.g., how old they were when the Lusaka-Mongu Road was built by the Chinese, or when the name of Feira Boma was changed to Luangwa, or when a certain Chief died, or when Katima Mulilo Pontoon disaster occurred, or when Mufulira Mine disaster occurred or when Zambia became independent, etc. Such historical .vents are meant to help a respondent remember how old they may have been when they were occurring. Do not rely completely on a single event. You should also check this with a later event.
If you have already ascertained the age of some other members of the household or of a neighbour, this may be of considerable help in determining the ages of other members of the household. For example, if you have estimated that the eldest child of the head of the household is 12 years old, you may be able to determine the ages of the other children by finding out how many years elapsed between the births of the different children.
[Omitted Examples]
This question on age will be the last one to be asked of all persons who are usual members of a household, but absent at the time of enumeration (P5).
All persons
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+
This variable indicates the person's age.
Demographic Variables -- PERSON
IPUMS
District or country of birth
District or country of birth
District or country of birth
District or country of birth
District or country of birth
6. Birthplace
State district if born in Zambia and district number and country if outside of Zambia:
District Name:_____________
Code:_ _
Was this part of the district rural or urban at the time of birth?
[] Rural
[] Urban
[] N/A (outside Zambia)
P6: Where was born? (Birth Place)
In this question, "Place" refers to district for cases within Zambia, or country for cases outside Zambia whether the person is Zambian or not. For persons born in Zambia, write the district of birth and then shade the appropriate space. The district codes are provided in Appendix 1. Some people may not know the name of the district in which they where born, but they generally know the name of the Chief s area. In such cases you should write out Chiefs area and then later on refer to the list of Chiefs by districts in Appendix 5, and find out which district the Chief belongs to. In case the person was born outside Zambia, write the name of the country in which he/she was born. Then write the name of the country, its code and shade the appropriate country code in the space provided. The country codes are given in Appendix 6. Do not write the name of the district of a foreign country.
All persons
101
Chibombo
102
Kabwe
103
Kapiri-posh
104
Mkushi
105
Mumbwa
106
Serenje
201
Chililabombwe
202
Chingola
203
Kalulushi
204
Kitwe
205
Luanshya
206
Lufwanyama
207
Masaiti
208
Mpongwe
209
Mufulira
210
Ndola
301
Chadiza
302
Chama
303
Chipata
304
Katete
305
Lundazi
306
Mambwe
307
Nyimba
308
Petauke
401
Chiengi
402
Kawambwa
403
Mansa
404
Milengi
405
Mwense
406
Nchelenge
407
Samfya
501
Chongwe
502
Kafue
503
Luangwa
504
Lusaka
601
Chilubi
602
Chinsali
603
Isoka
604
Kaputa
605
Kasama
606
Luwingu
607
Mbala
608
Mpika
609
Mporokoso
610
Mpulungu
611
Mungwi
612
Nakonde
701
Chavuma
702
Kabompo
703
Kasempa
704
Mufumbwe (Chizera)
705
Mwinilunga
706
Solwezi
707
Zambezi
801
Choma
802
Gwembe
803
Itezhi-tezhi
804
Kalomo
805
Kazungula
806
Livingstone
807
Mazabuka
808
Monze
809
Namwala
810
Siavonga
811
Sinazongwe
901
Kalabo
902
Kaoma
903
Lukulu
904
Mongu
905
Senanga
906
Sesheke
907
Shang 'ombo
1002
Angola
1004
Botswana
1005
Burundi
1008
Central African Republic
1012
Kenya
1017
Malawi
1018
Mozambique
1021
Republic of the Congo
1024
South Africa
1027
Rwanda
1031
Somalia
1034
South West Africa (Namibia)
1036
Tanzania
1040
Uganda
1047
Zaire (Democratic Republic of the Congo)
1048
Zambia
1049
Zimbabwe
1999
Other Africa
2003
India
2999
Other Asia or Oceania
3003
United States of America
3999
Other Americas
4073
United Kingdom
4999
Other Europe
This variable indicates the person's district or country of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
Urban or rural birthplace
Urban or rural birthplace
Urban or rural birthplace
Urban or rural birthplace
Urban or rural birthplace
6. Birthplace
State district if born in Zambia and district number and country if outside of Zambia:
District Name:_____________
Code:_ _
Was this part of the district rural or urban at the time of birth?
[] Rural
[] Urban
[] N/A (outside Zambia)
5.2.1 Rural/Urban
Find out whether the part of the district in which the person w born was a rural or urban area at the time of his/her birth. Shade the appropriate space. The list of urban areas and townships is given in Appendix 4. In case of a foreign country, shade the box for "Not Applicable".
All persons
1
Rural
2
Urban
3
Outside Zambia
This variable indicates the status of residency at time of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
Citizenship
Citizenship
Citizenship
Citizenship
Citizenship
7. Citizenship
(non-Zambia enter country code, Zambian enter code 148.): _ _ _
P7: What is [the respondent's] country of citizenship?
Write the name of the country of which the person is a citizen in the space provided. Then enter the country code in the appropriate boxes. A list of countries and their respective codes is given in Appendix 6.
All persons
102
Angola
105
Burundi
108
Central African Republic
111
Republic of the Congo
117
Ghana
121
Kenya
126
Malawi
127
Mali
131
Mozambique
133
Nigeria
134
Rwanda
135
Senegal
137
Somalia
138
Republic of South Africa
142
Tanzania
145
Uganda
147
Congo
148
Zambia
149
Zimbabwe
199
Other Africa
210
India
299
Asia or Oceania
310
United States of America
399
Other Americas
410
United Kingdom
499
Other Europe
This variable indicates the person's citizenship.
Nativity and Birthplace Variables -- PERSON
IPUMS
Purpose of stay in Zambia
Purpose of stay in Zambia
Purpose of stay in Zambia
Purpose of stay in Zambia
Purpose of stay in Zambia
8. Purpose of Stay (Non-Zambians only)
What is your purpose of stay in Zambia?
[] Employment
[] Family reunification/formation
[] Education/training
[] Settlement
[] Refuge/Asylum
[] Other
P8: Purpose of stay (non - Zambians only): What is your purpose of stay in Zambia?
People come to Zambia for various reasons. Among them are seeking refuge/asylum. A refugee is a person who is outside his/her country of origin due to civil conflict and cannot be given protection of his/her own government. An asylum seeker could be regarded the same as a refugee, but the difference is that an asylum seeker is a person who has made his/her intentions known to the government but has not yet been granted refugee status. Shade the appropriate space for the purpose of stay.
Persons who are not Zambian citizens
1
Employment
2
Family reunification or formation
3
Education or training
4
Settlement
5
Refuge or asylum
6
Other
9
NIU (not in universe)
This variable indicates the purpose of the person's stay in Zambia.
Migration Variables -- PERSON
IPUMS
Religion
Religion
Religion
Religion
Religion
9. Religion
What is your religion?
[] Catholic
[] Protestant
[] Muslim
[] Hindu
[] Other
[] None
P9: What is your Religion?
Shade the appropriate space for religion.
All persons
1
Catholic
2
Protestant
3
Muslim
4
Hindu
5
Other
6
None
This variable indicates the person's religion.
Ethnicity and Language Variables -- PERSON
IPUMS
Duration of residence in years
Duration of residence in years
Duration of residence in years
Duration of residence in years
Duration of residence in years
10 . Residence
Enter Completed years and months living continuously in this district
Year: __ __
Months: __ __
P10: How Long Has Been Continuously Living in this District? (District of Enumeration)
A person can live in the same district from bi' th without moving. Others may move from district to district, changing residence over time. Fot those who move, it is possible to keep coming back to the same district. What we are interested in is the length of their present unbroken or continuous residence in this district. Enter the number of completed years in the first two boxes
42
and the number of months in the next two. For those who have not completed a month yet, enter 00 in the boxes for months and 00 in the boxes for years.
All persons
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
This variable indicates duration in years of the person's residence.
Migration Variables -- PERSON
IPUMS
District or country of residence 1 year ago
District or country of residence 1 year ago
District or country of residence 1 year ago
District or country of residence 1 year ago
District or country of residence 1 year ago
11. Migration
Where were you living before August of last year?
District Number: __ __ __
P11: Where was [the respondent] staying in August last Year?
In this question you are to ask the respondent his/her place (district) of residence 12 months ago and whether that place was an urban or a rural area. This is not over the duration of the last 12 months; rather it is about this time 12 months back, i.e in August last year.
Write the name of the district in which this person was residing 12 months ago and then shade the appropriate code in the boxes provided. This can either be the district where he/she is now residing or another district. In case the person lived outside Zambia 12 months ago, write the name of the country where he/she was residing at that time and then enter the appropriate country code. For infants born less than 12 months ago, shade 888 in the boxes. If a person is not sure of the district, then ask him/her the name of the Chief in whose area he/she was living. From this information you can find out the name of the district (see Appendix 5).
Find out if the place where the person was living 12 months ago was a rural or an urban area. Shade the appropriate space for rural and urban areas. The list of urban areas and townships is given in Appendix 4. For infants born less than 12 months ago and for those who were living outside Zambia at that time, shade the space for Not Applicable (N/A).
Persons age 1+
1
Algeria
2
Angola
4
Botswana
10
Republic of the Congo
12
Malawi
13
Mozambique
14
South Africa
15
South West Africa (Namibia)
16
Tanzania
17
Zaire (Congo DR)
18
Zimbabwe
19
Other Africa
21
India
29
Other Asia or Oceania
31
United States of America
39
Other Americas
41
United Kingdom
49
Other Europe
101
Chibombo
102
Kabwe
103
Kapiri-posh
104
Mkushi
105
Mumbwa
106
Serenje
201
Chililabombwe
202
Chingola
203
Kalulushi
204
Kitwe
205
Luanshya
206
Lufwanyama
207
Masaiti
208
Mpongwe
209
Mufulira
210
Ndola
301
Chadiza
302
Chama
303
Chipata
304
Katete
305
Lundazi
306
Mambwe
307
Nyimba
308
Petauke
401
Chiengi
402
Kawambwa
403
Mansa
404
Milengi
405
Mwense
406
Nchelenge
407
Samfya
501
Chongwe
502
Kafue
503
Luangwa
504
Lusaka
601
Chilubi
602
Chinsali
603
Isoka
604
Kaputa
605
Kasama
606
Luwingu
607
Mbala
608
Mpika
609
Mporokoso
610
Mpulungu
611
Mungwi
612
Nakonde
701
Chavuma
702
Kabompo
703
Kasempa
704
Mufumbwe (Chizera)
705
Mwinilunga
706
Solwezi
707
Zambezi
801
Choma
802
Gwembe
803
Itezhi-tezhi
804
Kalomo
805
Kazungula
806
Livingstone
807
Mazabuka
808
Monze
809
Namwala
810
Siavonga
811
Sinazongwe
901
Kalabo
902
Kaoma
903
Lukulu
904
Mongu
905
Senanga
906
Sesheke
907
Shang 'ombo
999
NIU
This variable indicates the previous residence (district).
Migration Variables -- PERSON
IPUMS
Type of area of previous residence
Type of area of previous residence
Type of area of previous residence
Type of area of previous residence
Type of area of previous residence
Was this part of district rural or urban at the time of birth?
[] Rural
[] Urban
[] N/A Outside Zambia
P11: Where was [the respondent] staying in August last Year?
In this question you are to ask the respondent his/her place (district) of residence 12 months ago and whether that place was an urban or a rural area. This is not over the duration of the last 12 months; rather it is about this time 12 months back, i.e in August last year.
Write the name of the district in which this person was residing 12 months ago and then shade the appropriate code in the boxes provided. This can either be the district where he/she is now residing or another district. In case the person lived outside Zambia 12 months ago, write the name of the country where he/she was residing at that time and then enter the appropriate country code. For infants born less than 12 months ago, shade 888 in the boxes. If a person is not sure of the district, then ask him/her the name of the Chief in whose area he/she was living. From this information you can find out the name of the district (see Appendix 5).
Find out if the place where the person was living 12 months ago was a rural or an urban area. Shade the appropriate space for rural and urban areas. The list of urban areas and townships is given in Appendix 4. For infants born less than 12 months ago and for those who were living outside Zambia at that time, shade the space for Not Applicable (N/A).
Persons age 1+ living in Zambia 1 year ago
1
Rural
2
Urban
9
NIU (not in universe)
This variable indicates the status of previous residence.
Migration Variables -- PERSON
IPUMS
Ethnicity
Ethnicity
Ethnicity
Ethnicity
Ethnicity
12. Ethnicity
If Zambian enter tribe, it not mark major racial group.
Tribe:______________
[]African
[] American
[] Asian
[] European
[] Other
No response (code 88): _ _
5.3 Ethnicity and Language
P12: Ethnicity
This question refers to the Tribal-Group the person belongs to. It is an easy question but can be misunderstood. If a person says his/her parents belong to two different tribes, ask which one he/she identifies himself/herself with. In the case of some Zambians (such as those of Asian origin) and Non-Zambians, write the major racial group to which the person belongs, i.e African, American, Asian or European, then shade the appropriate space.
All persons
1
Bemba
2
Lunda (Luapula)
3
Lala
4
Bisa
5
Ushi
6
Chishinga
7
Ngumbo
8
Lamba
9
Kabende
10
Tabwa
11
Swaka
12
Mukulu
13
Ambo
14
Lima
15
Shila
16
Unga
17
Bwile
18
Luano
19
Tonga
20
Lenje
21
Soli
22
Ila
23
Toka-Leya
24
Sala
25
Gowa
26
Luvale
27
Lunda (North-western)
28
Mbunda
29
Luchazi
30
Ndembu
31
Mbowe
32
Chokwe
33
Kaonde sub-group
34
Luyana sub-group
35
Kwangwa
36
Kwandi
37
Koma
38
Nyengo
39
Siamaa
40
Mwenyi
41
Imilangu
42
Mashi
43
Lozi
44
Totela
45
Subiya
46
Nkoya
47
Mashasha
48
Chewa
49
Nsengal
50
Ngoni
51
Nyanja
52
Kunda
53
Chikunda
54
Lungu
55
Mambwe
56
Namwanga
57
Wina
58
Tambo
59
Tumbuka
60
Senga
61
Yombe
62
English
63
African
64
American
65
Asian
66
European
67
Other
This variable indicates the person's ethnicity.
Ethnicity and Language Variables -- PERSON
IPUMS
Ethnic origin
Ethnic origin
Ethnic origin
Ethnic origin
Ethnic origin
12. Ethnicity
If Zambian enter tribe, it not mark major racial group.
Tribe:______________
[]African
[] American
[] Asian
[] European
[] Other
No response (code 88): _ _
5.3 Ethnicity and Language
P12: Ethnicity
This question refers to the Tribal-Group the person belongs to. It is an easy question but can be misunderstood. If a person says his/her parents belong to two different tribes, ask which one he/she identifies himself/herself with. In the case of some Zambians (such as those of Asian origin) and Non-Zambians, write the major racial group to which the person belongs, i.e African, American, Asian or European, then shade the appropriate space.
All persons
1
African
2
American
3
Asian
4
European
5
Other
This variable indicates the person's ethnic origin.
Ethnicity and Language Variables -- PERSON
IPUMS
Predominant language of communication
Predominant language of communication
Predominant language of communication
Predominant language of communication
Predominant language of communication
13. Predominant Language
Write name of predominant language.
Language:________
Not applicable (enter 88) __ __
5.3 Ethnicity and Language
P13: What is [the respondent's] predominant language of communication?
You are required to find out the predominant language the person uses most frequently for his/her day-to-day communication with his/her neighbours, at factory, in office, in market places, etc. Note that it is not necessary that a person may be able to read and/or write in this language. For babies who have not yet started talking, or for the deaf and dumb, write code 88 for Not Applicable and shade appropriately.
Persons age 3+
NIU
1
Bemba
2
Lunda (Luapula)
3
Lala
4
Bisa
5
Ushi
6
Chishinga
7
Ngumbo
8
Lamba
9
Kabende
10
Tabwa
11
Swaka
12
Mukulu
13
Ambo
14
Lima
15
Shila
16
Unga
17
Bwile
18
Luano
19
Tonga
20
Lenje
21
Soli
22
Ila
23
Toka-Leya
24
Sala
25
Gowa
26
Luvale
27
Lunda (North-western)
28
Mbunda
29
Luchazi
30
Ndembu
31
Mbowe
32
Chokwe
33
Kaonde sub-group
34
Luyana sub-group
35
Kwangwa
36
Kwandi
37
Koma
38
Nyengo
39
Siamaa
40
Mwenyi
41
Imilangu
42
Mashi
43
Lozi
44
Totela
45
Subiya
46
Nkoya
48
Chewa
49
Nsengal
50
Ngoni
51
Nyanja
52
Kunda
53
Chikunda
54
Lungu
55
Mambwe
56
Namwanga
57
Wina
58
Tambo
59
Tumbuka
60
Senga
61
Yombe
62
English
63
African
65
Asian
66
European
67
Other
This variable indicates the person's predominant language of communication.
Ethnicity and Language Variables -- PERSON
IPUMS
Second language of communication
Second language of communication
Second language of communication
Second language of communication
Second language of communication
14. Second Language
Write name of SECOND language then code. (If not applicable enter 88)
Language: ________
Not applicable (enter 88) __ __
5.3 Ethnicity and Language
P14: What is [the respondent's] Second Language of Communication?
You are now required to find out the second language the person uses. As in P13, note that it is not necessary that a person may be able to read and/or write in this language.
Some people have only one language of communication. In that case, put a dash' (-) in the box provided, write 88 in the boxes that follow and then shade 88 in the shading spaces.
Persons age 3+ who speak a second language
NIU (not in universe)
1
Bemba
2
Lunda (Luapula)
3
Lala
4
Bisa
5
Ushi
6
Chishinga
7
Ngumbo
8
Lamba
9
Kabende
10
Tabwa
11
Swaka
14
Lima
15
Shila
16
Unga
17
Bwile
18
Luano
19
Tonga
20
Lenje
21
Soli
22
Ila
23
Toka-Leya
24
Sala
25
Gowa
26
Luvale
27
Lunda (North-western)
28
Mbunda
29
Luchazi
30
Ndembu
31
Mbowe
32
Chokwe
33
Kaonde sub-group
34
Luyana sub-group
35
Kwangwa
36
Kwandi
37
Koma
38
Nyengo
39
Siamaa
40
Mwenyi
41
Imilangu
42
Mashi
43
Lozi
44
Totela
45
Subiya
46
Nkoya
48
Chewa
49
Nsengal
50
Ngoni
51
Nyanja
52
Kunda
53
Chikunda
54
Lungu
55
Mambwe
56
Namwanga
58
Tambo
59
Tumbuka
60
Senga
61
Yombe
62
English
63
African
64
American
65
Asian
66
European
67
Other
This variable indicates the person's second language of communication.
Ethnicity and Language Variables -- PERSON
IPUMS
Any disability
Any disability
Any disability
Any disability
Any disability
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
All persons
1
Yes
2
No
This variable indicates if the person is disabled in any way.
Disability Variables -- PERSON
IPUMS
Complete loss of sight
Complete loss of sight
Complete loss of sight
Complete loss of sight
Complete loss of sight
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates the person has complete loss of sight.
Disability Variables -- PERSON
IPUMS
Partially sighted
Partially sighted
Partially sighted
Partially sighted
Partially sighted
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person is partially sighted.
Disability Variables -- PERSON
IPUMS
Complete loss of sense of hearing
Complete loss of sense of hearing
Complete loss of sense of hearing
Complete loss of sense of hearing
Complete loss of sense of hearing
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person has complete loss of sense of hearing.
Disability Variables -- PERSON
IPUMS
Partial loss of sense of hearing
Partial loss of sense of hearing
Partial loss of sense of hearing
Partial loss of sense of hearing
Partial loss of sense of hearing
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person has partial loss of sense of hearing.
Disability Variables -- PERSON
IPUMS
Mental illness
Mental illness
Mental illness
Mental illness
Mental illness
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person has mental illness.
Disability Variables -- PERSON
IPUMS
Treated mental illness
Treated mental illness
Treated mental illness
Treated mental illness
Treated mental illness
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person has treated mental illness.
Disability Variables -- PERSON
IPUMS
Mentally retarded
Mentally retarded
Mentally retarded
Mentally retarded
Mentally retarded
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person is mentally retarded.
Disability Variables -- PERSON
IPUMS
Physically handicapped
Physically handicapped
Physically handicapped
Physically handicapped
Physically handicapped
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person is physically handicapped.
Disability Variables -- PERSON
IPUMS
Cause of disablity is congenital or prenatal
Cause of disablity is congenital or prenatal
Cause of disablity is congenital or prenatal
Cause of disablity is congenital or prenatal
Cause of disablity is congenital or prenatal
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
5.4.2 Causes of Disability
P-17 What is the cause of this disability?
Ask for the cause of the reported disability/ies and shade accordingly. Causes of disability are categorised as follows:
a. Congential/prenatal - these are disabilities which one is born with.
b. Disease/illness e.g. polio. leprosy. cataract.
c. Injury accidents/trauma e.g. road accidents. injuries from accidental falls, fire etc.
d. Other. eg. unsuccessful medical operation. witchcraft, wrongful application of traditional and conventional medicine.
e. Unknown
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person's disability is congenital.
Disability Variables -- PERSON
IPUMS
Cause of disablity is disease or illness
Cause of disablity is disease or illness
Cause of disablity is disease or illness
Cause of disablity is disease or illness
Cause of disablity is disease or illness
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
5.4.2 Causes of Disability
P-17 What is the cause of this disability?
Ask for the cause of the reported disability/ies and shade accordingly. Causes of disability are categorised as follows:
a. Congential/prenatal - these are disabilities which one is born with.
b. Disease/illness e.g. polio. leprosy. cataract.
c. Injury accidents/trauma e.g. road accidents. injuries from accidental falls, fire etc.
d. Other. eg. unsuccessful medical operation. witchcraft, wrongful application of traditional and conventional medicine.
e. Unknown
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the cause of the person's disability is disease.
Disability Variables -- PERSON
IPUMS
Cause of disablity is injury, accident or trauma
Cause of disablity is injury, accident or trauma
Cause of disablity is injury, accident or trauma
Cause of disablity is injury, accident or trauma
Cause of disablity is injury, accident or trauma
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
5.4.2 Causes of Disability
P-17 What is the cause of this disability?
Ask for the cause of the reported disability/ies and shade accordingly. Causes of disability are categorised as follows:
a. Congential/prenatal - these are disabilities which one is born with.
b. Disease/illness e.g. polio. leprosy. cataract.
c. Injury accidents/trauma e.g. road accidents. injuries from accidental falls, fire etc.
d. Other. eg. unsuccessful medical operation. witchcraft, wrongful application of traditional and conventional medicine.
e. Unknown
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates an injury caused the person's disability.
Disability Variables -- PERSON
IPUMS
Other cause of disablity
Other cause of disablity
Other cause of disablity
Other cause of disablity
Other cause of disablity
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
5.4.2 Causes of Disability
P-17 What is the cause of this disability?
Ask for the cause of the reported disability/ies and shade accordingly. Causes of disability are categorised as follows:
a. Congential/prenatal - these are disabilities which one is born with.
b. Disease/illness e.g. polio. leprosy. cataract.
c. Injury accidents/trauma e.g. road accidents. injuries from accidental falls, fire etc.
d. Other. eg. unsuccessful medical operation. witchcraft, wrongful application of traditional and conventional medicine.
e. Unknown
Persons with disabilities discrepancies:
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if there is another cause of the person's disability.
Disability Variables -- PERSON
IPUMS
Unknown cause of disability
Unknown cause of disability
Unknown cause of disability
Unknown cause of disability
Unknown cause of disability
Special Group Population
15. Is any member of the household disabled in any way?
[] Yes (fill in Disability Supplement)
[] No
5.4 Disability
You are about to start a rather sensitive topic. Prepare the respondent by telling him/her that you are now going to start asking questions on disability.
A person with a disability is defined as a person who is limited in the kind or amount of activities that he or she can do because of the ongoing difficulties due to a long term physical condition, mental condition or health problem. Short term disabilities due to temporary conditions such as broken legs and illness are excluded. Only disabilities lasting for more than six months should be included.
P15 Are You Disabled in any Way?
Find out whether this person is disabled and shade appropriately. If the respondent is not disabled, skip to P18.
P16 What is Your Disability?
Find out what disability the person has and shade appropriately. Also note that a person may have more than one disability. Shade all disabilities reported.
5.4.1 Types of Disability
a. Blind: Complete loss of sight.
b. Partially Sighted: Loss of one eye or poor sight but does not mean complete blindness.
c. Deaf: Complete loss of sense of hearing.
d. Hard of Hearing: Partial loss of sense of hearing, and not complete loss of sense of hearing.
e. Mentally Ill: Psychological disorder related to the individual's mental state or state of mind.
f. Ex-mental: Any person that has suffered from mental disorder before but is now rehabilitated/or medically treated/or is undergoing rehabilitation.
g. Mentally Retarded: Any individual that is either very slow to learn or has deficiency of mental intellect (slow in grasping things, difficulties in remembering things, very slow at responding).
h. Physically Handicapped: Any person with a physical abnormality relating to the loss of bodily limbs or any deformity in the bodily stature, eg, the epileptics and lepers.
5.4.2 Causes of Disability
P-17 What is the cause of this disability?
Ask for the cause of the reported disability/ies and shade accordingly. Causes of disability are categorised as follows:
a. Congential/prenatal - these are disabilities which one is born with.
b. Disease/illness e.g. polio. leprosy. cataract.
c. Injury accidents/trauma e.g. road accidents. injuries from accidental falls, fire etc.
d. Other. eg. unsuccessful medical operation. witchcraft, wrongful application of traditional and conventional medicine.
e. Unknown
Persons with disabilities
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person has an unknown disability.
Disability Variables -- PERSON
IPUMS
Can read and write in any language
Can read and write in any language
Can read and write in any language
Can read and write in any language
Can read and write in any language
For Persons 5 Years and Older ? Education
15. Can you read and write in any language?
[] Yes
[] No
5.5 Education: for all persons 5 years and older
P18 Can [the respondent] read and write in any language?
Ask if the person can read and write in any language (local languages included) then shade appropriately.
Persons age 5+
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person can read and write in any language.
Education Variables -- PERSON
IPUMS
Currently attending school
Currently attending school
Currently attending school
Currently attending school
Currently attending school
For Persons 5 Years and Older ? Education
16. Do you go to any institution of learning?
[] Yes ? full time (Go to Question 18)
[] Yes ? part time (Go to Question 18)
[] Yes ? correspondence (Go to Question 18)
[] No
5.5 Education: for all persons 5 years and older
P19: Does [the respondent] go to any institution of learning?
Under this question you are to record the present status of school or college attendance of each person. Shade the appropriate space.
Since the census will he held during a period when many schools and colleges will be closed for holidays. for those still attending school the word 'attending' will be taken to mean that the person attended school during the last term and intends to do so in the next term also. Note that:-
a. Students attending vocational training including teacher training should be considered as persons attending full-time.
b. Apprentices in factories or workshops should not be shown as full - time students. Shade the fourth space provided.
c. Persons attending night school should he shown as part - time students.
d. People engaged in correspondence studies are not full time or part time students. Shade the third space for correspondence.
Persons age 5+
1
Yes, full time
2
Yes, part time
3
Yes, correspondence
4
No
9
NIU (not in universe)
This variable indicates if the person is currently attending school.
Education Variables -- PERSON
IPUMS
Ever attended school
Ever attended school
Ever attended school
Ever attended school
Ever attended school
For Persons 5 Years and Older ? Education
17. Did you previously go to any institution of learning?
[] Yes ? full time
[] Yes ? part time
[] Yes ? correspondence
[] No (Go to Question 19)
5.5 Education: for all persons 5 years and older
P20: Did the respondent previously go to any institution of learning?
This question is for persons who answered "No" under P-19. Since we have established that they are not attending any institution of learning at present, we are interested to know whether they did so previously.
Persons age 5+ not attending school
1
Yes, full time
2
Yes, part time
3
Yes, correspondence
4
No
9
NIU (not in universe)
This variable indicates if the person has ever attended school.
Education Variables -- PERSON
IPUMS
Highest level of education completed
Highest level of education completed
Highest level of education completed
Highest level of education completed
Highest level of education completed
For Persons 5 Years and Older ? Education
18. What highest level of academic education have you completed?
Level: _ _
5.5 Education: for all persons 5 years and older
P21: What highest level of academic education has [the respondent] completed?
Under highest academic educational level completed, write the highest educational level completed by each person who has ever attended an educational institution (including correspondence schools). Shade the appropriate figures for the highest level completed whether a person is still attending full time or part-time or has attended previously and is not attending now. The codes are given below and in Appendix 8. For children attending nursery school and those currently in Grade 1, their academic qualification completed is 00. For persons who were educated outside Zambia, indicate the appropriate Zambian equivalent of the level reached.
[Omitted Examples]
[Omitted: Conversion of pre 1956 system of school standards, grades and forms]
46
The level completed is the qualification or attendance (i.e. degree, diploma, certificate. etc.) that an individual has acquired, whether by full-time study, part-time study or private study whether conferred in the home country or abroad, and whether conferred by educational authorities, special examining bodies or professional bodies. The acquisition of an educational qualification, therefore, implies the successful completion of a course of study.
Persons age 5+ attending or who attended school
Currently grade 1 or nursery school
1
Grade 1
2
Grade 2
3
Grade 3
4
Grade 4
5
Grade 5
6
Grade 6
7
Grade 7
8
Grade 8
9
Grade 9
10
Grade 10
11
Grade 11
12
Grade 12 or General Certificate of Education (GCE) Ordinary
13
General Certificate of Education (GCE) Advanced or undergraduate
14
Certificate or diploma
15
Bachelor's
16
Master's
17
Doctorate or higher
99
NIU (not in universe)
This variable indicates the person's highest level of education completed.
Education Variables -- PERSON
IPUMS
Highest professional or vocational qualification
Highest professional or vocational qualification
Highest professional or vocational qualification
Highest professional or vocational qualification
Highest professional or vocational qualification
For Persons 5 Years and Older ? Education
19. What highest professional or vocational education have you completed?
Write level and field of study and enter code from the list of supplied Education Programmes.
Field of Study:________
Code: _ _
[] Certificate
[] Diploma
[] Degree
[] None
5.5 Education: for all persons 5 years and older
P22: What Highest Professional/Vocational Education Has Completed?
All professional or vocational education will be recorded under this column. Find out the highest professional or vocational education the respondent has completed and what level. The levels are:
a. Certificate.
b. Diploma.
c. Degree and above (Bachelors, Masters. Doctorate, etc.).
d. None.
Write the field of study and enter code from the list of supplied educational programmes in Appendix 9. Shade the appropriate level.
For students currently attending school and those not attending school write none, enter and shade Code '88'.
[Omitted Examples]
Persons age 5+
1
Certificate
2
Diploma
3
Degree
4
None
9
NIU (not in universe)
This variable indicates the person's highest professional or vocational qualification.
Education Variables -- PERSON
IPUMS
Field of study
Field of study
Field of study
Field of study
Field of study
For Persons 5 Years and Older ? Education
19. What highest professional or vocational education have you completed?
Write level and field of study and enter code from the list of supplied Education Programmes.
Field of Study:________
Code: _ _
[] Certificate
[] Diploma
[] Degree
[] None
5.5 Education: for all persons 5 years and older
P22: What Highest Professional/Vocational Education Has Completed?
All professional or vocational education will be recorded under this column. Find out the highest professional or vocational education the respondent has completed and what level. The levels are:
a. Certificate.
b. Diploma.
c. Degree and above (Bachelors, Masters. Doctorate, etc.).
d. None.
Write the field of study and enter code from the list of supplied educational programmes in Appendix 9. Shade the appropriate level.
For students currently attending school and those not attending school write none, enter and shade Code '88'.
[Omitted Examples]
Persons age 5+ with a professional or vocational qualification
NIU (not in universe)
1
Natural science
2
Civil engineering technicians
3
Electrical and electronics engineering
4
Mechanical engineering
5
Chemical engineering
6
Mining engineering
7
Industrial engineering
8
Metallurgical engineering
9
Architectural engineering
10
Other engineering
11
Medicine and surgery
12
Pharmacy
13
Dentistry
14
Nursing
15
Medical technology
16
X ray technology
17
Veterinary
18
Statistics
19
Mathematics
20
Computer science
21
Economics
22
Accountancy
23
Teacher training
24
Law/jurisprudence (includes magistrates and judges)
25
Journalism
26
Fine arts
27
Physical education
28
Library science
29
Social welfare
30
Criminology
31
Business adminis
32
Secretarial training
33
Shorthand training
34
Clerical typing
35
Operating of office machines
36
Service trade (e.g. cooking, tourist trade)
37
Broadcasting
38
Fire fighting
39
Agriculture, forestry and fishery
40
Food drink processing
41
Wood working
42
Textile trades
43
Leather trade
44
Other programs
This variable indicates the person's field of study.
Education Variables -- PERSON
IPUMS
Activity last seven days
Activity last seven days
Activity last seven days
Activity last seven days
Activity last seven days
For Persons 12 Years and Older
20. What were you mainly doing in the last 7 days?
[] Worked ? paid non-seasonal
[] Worked ? unpaid non-seasonal
[] Worked ? paid seasonal
[] Worked ? unpaid seasonal
[] On leave
[] Unpaid work on household holding or business
[] Unemployed and seeking work
[] Not seeking work but available for work
[] Full-time housewife/homemaker
[] Full time student
[] Not available for work for other reasons
5.6 Economic activity: for persons 12 years and older
In this section, we want to find out whether a person is working or not and, if working, then what type of work he or she is doing. For those who are not working, we would like to know whether or not a person is seeking work or interested in getting work or whether a person is engaged or-involved in some other activity such that he or she is not available or interested in doing work
47
of any economic kind. These questions are to be asked only of persons who are at least 12 years old on the day of enumeration. The persons who are 12 years and older can be divided into two categories:
a. Those working, or not working but interested in work (Labour Force); and
b. Those neither interested nor available for work (not in Labour Force).
Those who are in the labour force can be further classified as below:
a. Working or work assured but not yet started work.
b. Not working:
i. Able to work and actively seeking work; and
ii. Able to and interested in work though not actively seeking work.
Those who are not in labour force will include the following categories of persons:
a. Mainly looking after own household duties (housewives/homemakers), not persons who
help with household chores or looking after children;
b. Full-time students;
c. Not able to work (disabled, too old, invalids);
d. Pensioners (only those solely living on pensions);
e. Persons living only on rental incomes, past savings, interest, inheritance gambling income, etc.; and
f. Others, who are neither interested nor available for work, such as beggars, vagrants, prisoners, etc.
5.6.1 Working For Pay or Profit
We define a person as working if he or she performed some work for pay or profit. Payment may be either in cash, in the form of goods or services or in any combination of these.
Examples:
a. A person employed by someone on fixed monthly income or weekly or daily wages.
b. A person who is paid by an employer on the basis of piece work.
c. A person running his/her own business such as a marketeer, a hawker, a cobbler, a tinsmith, a bottle-store operator, a grocery/store owner, etc.
d. Two (or more) partners running a business.
e. A farmer who tills his/her own farm, with or without the help of other persons.
f. A farm labourer who is paid partly in cash and partly in terms of farm produce.
g. A person who works in a hotel and gets his wages partly in cash and partly in terms of board and lodging.
h. Some students manage to find a job during school holidays and might be working during the reference period. These should be classified as working.
Persons who had a job and would normally have worked for pay or profit or return in kind but were:
i. Prevented from working by temporary illness, bad weather, industrial dispute such as a strike or a lock-out, on suspension and;
48
j. All persons who had got a new job but had not yet reported for work, are to be classified as working.
A person will be classified as working if he/she did any work for pay, profit, or family gain any time during the preceding week for a period equal to at least one working day. By 'preceding week' we mean seven days immediately before the day of enumeration.
For people in agricultural and allied operations the following activities will constitute work during the preceding week for a period equal to at least one working day:
a. Agriculture: Growing of crops, fruits and vegetables, and raising of poultry and livestock.
b. Fishing and hunting.
c. Forestry: Collecting or cutting wood, charcoal burning, gathering of honey and beeswax
from trees, gathering of mushrooms, caterpillars, etc. and collecting wild fruits, etc for sale.
Persons (housewives/homemakers) doing only household duties of looking after their own families are not to be regarded as working. Therefore, do not include housewives/homemakets who do not have paid employment or who do not work regularly in a family business or on a family farm as working. However, if a housewife/homemaker is having paid employment or works on a family farm or a family business, he/she is then to be regarded as working. Similarly, a housewife/homemaker who looks after another family and is paid for his, her work in cash or kind is to be regarded as working.
5.6.2 Seasonality
There are instances when we find people engaged in seasonal work. Seasonal work refers to a seasonal activity such as tilling the land.
5.6.3 Worked - paid non seasonal
This refers to persons who, during the reference period, performed some work for a wage or salary, in cash or in kind. The work referred to in this category is not seasonal but done throughout the year.
5.6.4 Worked - unpaid non-seasonal
This refers to persons who, during the reference period, performed non seasonal work, without a wage or salary.
5.6.5 Worked - paid seasonal
This refers to persons who performed seasonal work for a wage or salary during the reference period.
5.6.6 Worked - unpaid seasonal
This refers to persons who performed seasonal work without a wage or salary.
5.6.7 On Leave
This refers to persons who had a job and would normally have worked for pay or profit or return in kind but were on paid or unpaid vacation or study leave.
5.6.8 Unpaid Work On Household Holding Or Business.
This refers to persons who worked without pay during the reference period on a household holding or business.
5.6.9 Unemployed and Seeking Work
This refers to persons who took steps to seek paid employment or self-employment during the reference period. This will include people who:
a. Registered at an employment exchange;
b. Went to possible employers to ask for a job;
c. Wrote a letter or applied for a job;
d. Asked friends, relatives, neighbours, etc. to help them find a job; and
e. Made any effort to start business e.g. opening a market stall or clearing a piece of land say for an agricultural activity.
5.6.10 Not Seeking Work But Available For Work
This refers to persons who were not working but would like to have a job. These persons are not sure that there is any job available, or who imagine that they are over qualified, or who just say "Where can I get employment?"
5.6.11 Full Time Housewife/Homemaker
This refers to persons who are engaged in household duties in their own home; and not persons who help with household chores or looking after children.
5.6.12 Full-Time Students
This refers to persons of either sex not classified as usually economically active who attended any regular educational institution, public or private. for systematic instruction at any level of education during the reference period. Also note that those who are on holiday at enumeration time but attend an educational institution regularly are to be recorded as full time students.
5.6.13 Not Available For Work For Other Reasons
This refers to people who were not seeking work and were not housewives or homemakers during the reference period. This includes those who are sick, disabled, retired and also those who may not want to work, beggars, prisoners, vagrants, gamblers, etc.
P23: What Was Mainly Doing In The Last 7 Days?
Under this question you have to determine the economic activity category to which the person belongs. The reference period in this question is the last 7 days and all persons who will fall under categories 1, 2, 3, up to 8 will be treated as the currently economically active population (Labour Force), while those falling under categories 9, 10 and 11 will be treated as being outside the labour force.
Persons age 12+
1
Worked, paid non-seasonal
2
Worked, unpaid non-seasonal
3
Worked, paid seasonal
4
Worked, unpaid seasonal
5
On leave
6
Unpaid work on household holding or business
7
Unemployed and seeking work
8
Not seeking work but available for work
9
Full time housewife or homemaker
10
Full time student
11
Not available for work for other reasons
99
NIU (not in universe)
This variable indicates the person's main economic activity in the last seven days.
Work Variables -- PERSON
IPUMS
Activity last twelve months
Activity last twelve months
Activity last twelve months
Activity last twelve months
Activity last twelve months
For Persons 12 Years and Older
21. What have you mainly been doing for the past 12 months?
[] Worked ? paid non-seasonal
[] Worked ? unpaid non-seasonal
[] Worked ? paid seasonal
[] Worked ? unpaid seasonal
[] On leave
[] Unpaid work on household holding or business
[] Unemployed and seeking work (GO TO 25)
[] Not seeking work but available for work (GO TO 25)
[] Full-time housewife/homemaker (GO TO 25)
[] Full time student (GO TO 25)
[] Not available for work for other reasons (GO TO 25)
5.6 Economic activity: for persons 12 years and older
In this section, we want to find out whether a person is working or not and, if working, then what type of work he or she is doing. For those who are not working, we would like to know whether or not a person is seeking work or interested in getting work or whether a person is engaged or-involved in some other activity such that he or she is not available or interested in doing work
47
of any economic kind. These questions are to be asked only of persons who are at least 12 years old on the day of enumeration. The persons who are 12 years and older can be divided into two categories:
a. Those working, or not working but interested in work (Labour Force); and
b. Those neither interested nor available for work (not in Labour Force).
Those who are in the labour force can be further classified as below:
a. Working or work assured but not yet started work.
b. Not working:
i. Able to work and actively seeking work; and
ii. Able to and interested in work though not actively seeking work.
Those who are not in labour force will include the following categories of persons:
a. Mainly looking after own household duties (housewives/homemakers), not persons who
help with household chores or looking after children;
b. Full-time students;
c. Not able to work (disabled, too old, invalids);
d. Pensioners (only those solely living on pensions);
e. Persons living only on rental incomes, past savings, interest, inheritance gambling income, etc.; and
f. Others, who are neither interested nor available for work, such as beggars, vagrants, prisoners, etc.
5.6.1 Working For Pay or Profit
We define a person as working if he or she performed some work for pay or profit. Payment may be either in cash, in the form of goods or services or in any combination of these.
Examples:
a. A person employed by someone on fixed monthly income or weekly or daily wages.
b. A person who is paid by an employer on the basis of piece work.
c. A person running his/her own business such as a marketeer, a hawker, a cobbler, a tinsmith, a bottle-store operator, a grocery/store owner, etc.
d. Two (or more) partners running a business.
e. A farmer who tills his/her own farm, with or without the help of other persons.
f. A farm labourer who is paid partly in cash and partly in terms of farm produce.
g. A person who works in a hotel and gets his wages partly in cash and partly in terms of board and lodging.
h. Some students manage to find a job during school holidays and might be working during the reference period. These should be classified as working.
Persons who had a job and would normally have worked for pay or profit or return in kind but were:
i. Prevented from working by temporary illness, bad weather, industrial dispute such as a strike or a lock-out, on suspension and;
48
j. All persons who had got a new job but had not yet reported for work, are to be classified as working.
A person will be classified as working if he/she did any work for pay, profit, or family gain any time during the preceding week for a period equal to at least one working day. By 'preceding week' we mean seven days immediately before the day of enumeration.
For people in agricultural and allied operations the following activities will constitute work during the preceding week for a period equal to at least one working day:
a. Agriculture: Growing of crops, fruits and vegetables, and raising of poultry and livestock.
b. Fishing and hunting.
c. Forestry: Collecting or cutting wood, charcoal burning, gathering of honey and beeswax
from trees, gathering of mushrooms, caterpillars, etc. and collecting wild fruits, etc for sale.
Persons (housewives/homemakers) doing only household duties of looking after their own families are not to be regarded as working. Therefore, do not include housewives/homemakets who do not have paid employment or who do not work regularly in a family business or on a family farm as working. However, if a housewife/homemaker is having paid employment or works on a family farm or a family business, he/she is then to be regarded as working. Similarly, a housewife/homemaker who looks after another family and is paid for his, her work in cash or kind is to be regarded as working.
5.6.2 Seasonality
There are instances when we find people engaged in seasonal work. Seasonal work refers to a seasonal activity such as tilling the land.
5.6.3 Worked - paid non seasonal
This refers to persons who, during the reference period, performed some work for a wage or salary, in cash or in kind. The work referred to in this category is not seasonal but done throughout the year.
5.6.4 Worked - unpaid non-seasonal
This refers to persons who, during the reference period, performed non seasonal work, without a wage or salary.
5.6.5 Worked - paid seasonal
This refers to persons who performed seasonal work for a wage or salary during the reference period.
5.6.6 Worked - unpaid seasonal
This refers to persons who performed seasonal work without a wage or salary.
5.6.7 On Leave
This refers to persons who had a job and would normally have worked for pay or profit or return in kind but were on paid or unpaid vacation or study leave.
5.6.8 Unpaid Work On Household Holding Or Business.
This refers to persons who worked without pay during the reference period on a household holding or business.
5.6.9 Unemployed and Seeking Work
This refers to persons who took steps to seek paid employment or self-employment during the reference period. This will include people who:
a. Registered at an employment exchange;
b. Went to possible employers to ask for a job;
c. Wrote a letter or applied for a job;
d. Asked friends, relatives, neighbours, etc. to help them find a job; and
e. Made any effort to start business e.g. opening a market stall or clearing a piece of land say for an agricultural activity.
5.6.10 Not Seeking Work But Available For Work
This refers to persons who were not working but would like to have a job. These persons are not sure that there is any job available, or who imagine that they are over qualified, or who just say "Where can I get employment?"
5.6.11 Full Time Housewife/Homemaker
This refers to persons who are engaged in household duties in their own home; and not persons who help with household chores or looking after children.
5.6.12 Full-Time Students
This refers to persons of either sex not classified as usually economically active who attended any regular educational institution, public or private. for systematic instruction at any level of education during the reference period. Also note that those who are on holiday at enumeration time but attend an educational institution regularly are to be recorded as full time students.
5.6.13 Not Available For Work For Other Reasons
This refers to people who were not seeking work and were not housewives or homemakers during the reference period. This includes those who are sick, disabled, retired and also those who may not want to work, beggars, prisoners, vagrants, gamblers, etc.
P24: What Has Mainly Been Doing in the last 12 months?
Under this question the reference period is the last 12 months, thus, persons who will fall under these categories (i.e. worked paid non seasonal, worked unpaid non seasonal, worked paid seasonal, worked unpaid seasonal, on leave, unpaid work on a household holding or business and unemployed and seeking work) will be regarded as the "Usually Economically Active Population". The difference between P-23 and P-24 is the reference period.
Since this reference period of 12 months will be vital in capturing persons in agricultural and allied operations, the following examples are important in pinpointing such persons:-
a. Did you undertake any regular agricultural work on your own or your family's farm during this agricultural season?
b. Did you work as a farm-hand during this agricultural season?
c. Were you engaged for pay, profit or family gain mainly in fishing, hunting, charcoal burning, wood cutting, gathering mushroom or caterpillars, collecting wild fruits, etc. since 1999?
All those who answer 'Yes' to any of these questions will be considered as working and therefore, you should shade appropriately in the questionnaire.
All respondents who answer 'No" to any of these questions, that is, those who were not working. are not supposed to have any Employment Status, Occupation or Industry. Therefore, you are supposed to skip to P - 28 (Marital Status).
Persons age 12+
1
Worked, paid non-seasonal
2
Worked, unpaid non-seasonal
3
Worked, paid seasonal
4
Worked, unpaid seasonal
5
On leave
6
Unpaid work on household holding or business
7
Unemployed and seeking work
8
Not seeking work but available for work
9
Full time housewife or homemaker
10
Full time student
11
Not available for work for other reasons
99
NIU (not in universe)
This variable indicates the person's main economic activity during the last twelve months.
Work Variables -- PERSON
IPUMS
Employment status
Employment status
Employment status
Employment status
Employment status
For Persons 12 Years and Older
22. Employment Status
Since 27th April 1999 what have you been mainly:
[] An employer
[] An employee
[] Self-employed
[] An unpaid family worker
P25 Employment Status in the last 12 months
This question is to be asked only of those persons who were considered working in P-24. Shade the provided appropriate space.
By Employment Status we mean that a person is self-employed, employs others. is employed by someone or works on the family farm in the family business without actually being paid. All these terms are further explained below.
The Employment Status will be determined by the status of the person during the reference period. If a person worked on more than one job during the reference period, then the Employment Status of that person will be determined according to the job on which he/she spent more time. For example. if a person was employed in a garage as a mechanic for 7 months (as an employee), but drove his/her own car as a taxi driver (self-employed) for 5 months then he/she will be classified as an employee. If he/she was an employee in the garage for 6 months and drove the taxi for 6 months i.e. the time spent in different jobs being the same then you will determine his status on the basis of the job from which he/she received more income.
5.6.16 Employer
An Employer is a person working on his/her own economic account or with one or few partners. He/she holds a self-employment job and in his/her capacity has engaged on a continuous basis. One or more persons to work for him/her as employees for pay, either in cash or in kind. For such a person, shade the first box for Employment Status (P-25).
Examples:
a. A farmer who employs a tractor driver, a farm hand, etc.
b. A carpenter who runs his own workshop and employs others as carpenters. helpers. etc.
c. A garage owner who employs mechanics in his workshop.
d. A shop owner who employs shop assistants, salesmen, stock attendants. truck drivers, cashiers, etc.
e. A butchery owner who employs others as butchers, cleaners, etc.
f. A factory owner who employs factory workers, a foreman, a manager, mechanics, an accountant, etc.
g. A taxi owner who employs drivers to run his taxis.
h. A cinema owner who employs other people to run the cinema, as gate-keepers, projectionist, cleaners, etc.
i. A restaurant owner who employs cooks, bar attendants, pick-up van driver, cashier, etc.
A person who is assisted by family members who are not paid any wages or salaries is not an employer as his/her family members are unpaid family workers. Such a person should be classified as self-employed. On the other hand, if a person pays wages or salaries to the family member(s) who runs their business, then he/she is an employer and the family member(s) will be classified as an employee(s).
Only those employing others to help run their business or farm will be classified as employers. Those employing domestic servants or security guards, etc., for looking after their household properties are not to be classified as employers unless they also employ someone for the sake of their business operations. Do not classify salaried managers of large companies which they do not own as employers. Similarly, personnel officers and other senior officials of companies, parastatal organisations and Government departments are themselves employees who get salaries. Since they do not own the companies, etc., they are not to be classified as employers.
5.6.17 Employee -Wage and Salary Earner
Shade the second box for persons who worked for others for a wage or salary which may be paid to them in cash or kind or partly in cash and partly in\kind. Salesmen/salesladies who worked for commission are also to be classified as employees.
52
Examples of Employees:
a. A shop assistant;
b. A bartender (not the bar owner);
c. A carpenter working for a contractor;
d. A miner;
e. A manager of a firm;
f. A mechanic working for pay in a garage;
g. All Government workers and employees of parastatal and private organisations from an Office Orderly right up to the Secretary to the Cabinet, Managing Directors, etc, are employees;
h. Ministers and other Members of Parliament having public funds as their main source of income will be considered as employees. Similarly, Chairperson of Service Commissions, and Chairperson of Parastatal Organisations will be treated as employees.
5.6.18 Self-Employed
Persons who are not working for others for a wage or salary but run their own businesses, factories, workshops, farms, and also do not employ others in their establishment are classified as self-employed. Ordinarily, such persons will have their own place of business and determine their own hours of work and work programme. These persons may do other people's work by fixing an hourly rate or on the basis of the job itself. These could be partners.
The fact that members of a person's household may assist him/her in his/her work without receiving any remuneration does not alter his/her employment status as 'self-employed' because he/she is not employing them. However, if he/she pays wages or a salary to any member of his/her household, in that case he/she is employing that member and this relationship (employer/employee) will then be recorded.
Examples of Self-employed Persons:
a. A subsistence farmer who does not employ outside labour on his/her farm except unpaid family workers.
b. The owner of a small family store run by him/herself.
c. A marketeer or a street vendor.
d. A car mechanic running a small repair business on his/her own.
e. The owner of a small tea-shop or kiosk which he/she runs him/herself or with the help of his/her (unpaid) family members.
f. A cobbler or a carpenter running a repairing business without the help of others.
g. A tailor doing his/her business with no outside helper.
h. A contractor doing odd job repairs on his/her own.
5.6.19 Unpaid Family Worker
Shade the fourth box for persons who normally assist in the family business or farm, but do not receive any pay or profit for the work so performed.
Persons age 12+ who worked last year
1
Employer
2
Employee
3
Self-employed
4
Unpaid family worker
9
NIU (not in universe)
This variable indicates the person's employment status.
Work Variables -- PERSON
IPUMS
Main occupation last 12 months, 3 digits
Main occupation last 12 months, 3 digits
Main occupation last 12 months, 3 digits
Main occupation last 12 months, 3 digits
Main occupation last 12 months, 3 digits
For Persons 12 Years and Older
24. Industry
What kind of main product or service is/was produced where you work? Write name of industry and enter code.
Industry: __________________
Code: _ _ _
P26 Occupation
Occupation refers to the type of work done during the reference period by the person employed irrespective of the industry or the status of employment in which the person should be classified.
For each worker, write the occupation during the reference period, then enter the appropriate code in the boxes provided. The detailed list of occupations with their codes is given in Appendix 10. If a person was involved in two or more occupations at the same time, enter the occupation in which he/she spent the larger part of the working time.
Occupation should be given in clear terms to show what kind of work one did.
Persons age 12+ who worked last year
11
Chemists
13
Physical scientists not elsewhere classified
21
Architects and town planners
22
Civil engineers
23
Electrical and electronics engineers
24
Mechanical engineers
25
Chemical engineers
26
Metallurgists
27
Mining engineers
28
Industrial engineers
29
Engineers not elsewhere classified
31
Surveyors
32
Draughtsmen
33
Civil engineering technicians
34
Electrical and electronics engineering technicians
35
Mechanical engineering technicians
38
Mining technicians
39
Engineering technicians not elsewhere classified
41
Aircraft pilots, navigators and flight engineers
43
Ships' engineers
49
Aircraft and ships' officers not elsewhere classified
54
Life sciences technicians
59
Other life scientists and related technicians not elsewhere classified
60
Other medical, dental, veterinary and related workers not elsewhere classified
61
Medical doctors
62
Medical assistants
63
Dentists
65
Veterinarians
66
Veterinary assistants
67
Pharmacists
69
Dietitians and public health nutritionists
71
Professional nurses
72
Nursing personnel not elsewhere classified
73
Professional midwives
74
Midwifery personnel not elsewhere classified
77
Medical Xray technicians
79
Medical, dental, veterinary and related workers not elsewhere classified
81
Statisticians
83
Systems Analysts
89
Statisticians, mathematicians, systems analysts and related technicians not elsewhere classified
90
Economists
110
Accountants
121
Lawyers
122
Judges
129
Jurists not elsewhere classified
131
University and higher education teachers
132
Secondary education teachers
133
Primary education teachers
134
Preprimary education teachers
135
Special education teachers
139
Teachers not elsewhere classified
141
Ministers of religion and related members of religious orders
149
Workers in religion not elsewhere classified
159
Authors, journalists and related writers not elsewhere classified
161
Sculptors, painters and related artists
162
Commercial artists and designers
163
Photographers and cameramen
171
Composers, musicians and singers
175
Circus performers
179
Performing artists not elsewhere classified
180
Athletes, sportsmen and related workers
191
Librarians, archivists and curators
193
Social workers
194
Personnel and occupational specialists
199
Other professional, technical and related workers
201
Legislative officials
202
Government administrators
211
General managers
212
Production managers (except farm)
219
Managers not elsewhere classified
300
Clerical supervisors
310
Government executive officials
320
Stenographers, typists, card and tapepunching machine operators
331
Bookkeepers and cashiers
339
Bookkeepers, cashiers and related workers not elsewhere classified
342
Automatic dataprocessing machine operators
349
Other computing machine operators
351
Railway station masters
352
Postmasters
359
Transport and communications supervisors not elsewhere classified
360
Transport conductors
370
Mail distribution clerks
380
Telephone and telegraph operators
391
Stock clerks
393
Correspondence and reporting clerks
394
Receptionists and travel agency clerks
395
Library and filing clerks
399
Clerks not elsewhere classified
400
Managers (wholesale and retail trade)
410
Working proprietors (wholesale and retail trade)
421
Sales supervisors
422
Buyers
431
Technical salesmen and service advisers
432
Commercial travellers and Manufacturers' agents
441
Insurance, real estate and securities salesmen
442
Business services salesmen
449
Other insurance, real estate, securities and business services salesmen and auctioneers not elsewhere classified
451
Salesmen, shop assistants and demonstrators
452
Street vendors, canvassers and newsvendors
490
Sales workers not elsewhere classified
500
Managers (catering and lodging services)
510
Working proprietors (catering and lodging services)
520
Housekeeping and related service supervisors
531
Cooks
532
Waiters, bartenders and related workers
540
Maids and related housekeeping service workers not elsewhere classified
551
Building caretakers
552
Charworkers, cleaners and related workers
560
Launderers, drycleaners and pressers
570
Hairdressers, barbers, beauticians and related workers
581
Firefighters
582
Policemen and detectives
589
Protective service workers not elsewhere classified
591
Guides
599
Other service workers
600
Farm managers and supervisors
611
General farmers
612
Specialised farmers
621
General farm workers
622
Field crop and vegetable farm workers
623
Orchard, vineyard and related tree and shrub crop workers
624
Livestock workers
625
Dairy farm workers
626
Poultry farm workers
628
Farm machinery operators
629
Agricultural and animal husbandry workers not elsewhere classified
631
Loggers
632
Forestry workers (except logging)
641
Fishermen
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
721
Metal smelting, converting and refining furnacemen
723
Metal melters and reheaters
724
Metal casters
725
Metal moulders and coremakers
726
Metal annealers, temperers and casehardeners
727
Metal drawers and extruders
728
Metal platers and coaters
729
Metal processers not elsewhere classified
732
Sawyers, plywood makers and related woodprocessing workers
739
Other wood preparation workers and paper makers not eslewhere classified
741
Crushers, grinders and mixers
742
Cookers, roasters and related heattreaters
743
Filter and separator operators
745
Petroleumrefining workers
749
Chemical processers and related workers not elsewhere classified
752
Spinners and winders
753
Weaving and knittingmachine setters and patterncard preparers
754
Weavers and related workers
755
Knitters
756
Bleachers, dyers and textile product finishers
759
Spinners, weavers, knitters, dyers and related workers not elsewhere classified
760
Tanners, fellmongers, and pelt dressers
771
Grain millers and related workers
772
Sugar processers and refiners
773
Butchers and meat preparers
774
Food preservers
776
Bakers, pastrycooks and confectionery makers
777
Tea, coffee and cocoa preparers
778
Brewers, wine and beverage makers
779
Food and beverage processers not elsewhere classified
780
Tobacco preparers and tobacco product makers
791
Tailors and dressmakers
792
Fur tailors and related workers
793
Milliners and hatmakers
795
Sewers and embroiderers
799
Tailors, dressmakers, sewers, upholsterers and related workers not elsewhere classified
800
Shoemakers and leather goods makers
811
Cabinetmakers
812
Woodworkingmachine operators
819
Cabinetmakers and related woodworkers not elsewhere classified
820
Stone cutters and carvers
831
Blacksmiths, hammersmiths and forgingpress operators
832
Toolmakers, metal patternmakers and metal markers
833
Machinetool setteroperators
834
Machinetool operators
839
Blacksmiths, toolmakers and machinetool operators not elsewhere classified
841
Machinery fitters and machine assemblers
843
Motor vehicle mechanics
849
Machinery fitters, machine assemblers and precision instrument makers (except electrical) not elsewhere classified
851
Electrical fitters
853
Electrical and electronics equipment assemblers
854
Radio and television repairmen
855
Electrical wiremen
857
Electric linemen and cable jointers
859
Electrical fitters and related electrical and electronics workers not elsewhere classified
860
Broadcasting station and sound equipment operators and cinema projectionists
871
Plumbers and pipe fitters
872
Welders and flamecutters
879
Other plumbers, welders, sheet metal and structural metal preparers and erectors not elsewhere classified
880
Jewellery and precious metal workers
892
Potters and related clay and abrasive formers
899
Glass formers, potters and related workers not elsewhere classified
900
Rubber and plastics product makers
910
Paper and paperboard products makers
922
Printing pressmen
929
Printers and related workers not elsewhere classified
931
Painters, construction
939
Painters not elsewhere classified
942
Basketry weavers and brush makers
949
Other production and related workers
951
Bricklayers, stonemasons and tile setters
953
Roofers
954
Carpenters, joiners and parquetry workers
959
Construction workers not elsewhere classified
960
Stationary engine and related equipment operators
973
Crane and hoist operators
974
Earthmoving and related machinery operators
979
Materialhandling equipment operators not elsewhere classified
983
Railway engine drivers and firemen
984
Railway brakemen, signalmen and shunters
985
Motor vehicle drivers
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 main occupation during the last 12 months.
Work: Occupation Variables -- PERSON
IPUMS
Type of industry, 3 digits
Type of industry, 3 digits
Type of industry, 3 digits
Type of industry, 3 digits
Type of industry, 3 digits
For Persons 12 Years and Older
24. Industry
What kind of main product or service is/was produced where you work? Write name of industry and enter code.
Industry: __________________
Code: _ _ _
P27 Industry
Industry refers to the activity of the establishment in which an employed person worked during the reference period established for data on economic characteristics. For each worker, write the name of the industry in which he/she worked during the reference period. If he/she was employed in more than one industry, then enter the industry which relates to the occupation already recorded. If he/she had the same occupation in different industries, then write the current industry in which he/she working.
A person with a certain skill can work in any industry where the skills are required. In such a situation, industry classification will depend on the industry in which he/she is actually employed.
[Omitted Examples]
Many enterprises have several functions and in such a case, the industry should relate to the functions of the establishment where the respondent is closely associated.
54
[Omitted Examples]
Write the category of Industry which a person is mostly associated with during the reference period.
Some difficulty may be experienced in identifying the industry of persons who move frequently from job to job or do odd jobs. Remember that what is wanted is the Industry of the current job, even if that job started only a day or two ago.
There is no Industry called "Service". For example, if someone is working as a Teacher/Lecturer he/she is in Education Industry. Such a person provides a service, but the Industry is not service. A retired Soldier employed as a Security Guard at Zambia Breweries is not in Security Services but working in a "Brewing Industry". But someone employed by Security Company e.g. Anderson Security, assigned to guard Zambia Breweries, is in "Security Services" (See Appendix 1 1 for a list of industries).
Persons age 12+ who worked last year
111
Agriculture and livestock production
112
Agricultural services
113
Hunting, trapping and game propagation
121
Forestry
122
Logging
130
Fishing
210
Coal Mining
230
Metal Ore Mining
290
Other Mining
311
Food manufacturing
313
Beverage industries
314
Tobacco manufactures
321
Manufacture of textiles
322
Manufacture of wearing apparel, except footwear
323
Manufacture of leather and products of leather, leather substitutes and fur, except footwear and wearing apparel
324
Manufacture of footwear, except vulcanized or moulded rubber or plastic footwear
331
Manufacture of wood and wood and cork products, except furniture
332
Manufacture of furniture and fixtures, except primarily of metal
341
Manufacture of paper and paper products
342
Printing, publishing and allied industries
351
Manufacture of industrial chemicals
352
Manufacture of other chemical products
353
Petroleum refineries
354
Manufacture of miscellaneous products of petroleum and coal
356
Manufacture of plastic products not elsewhere classified
361
Manufacture of pottery, china and earthenware
371
Iron and steel basic industries
372
Non-ferrous metal basic industries
381
Manufacture of fabricated metal products, except machinery and equipment
382
Manufacture of machinery except electrical
383
Manufacture of electrical machinery apparatus, appliances and supplies
385
Manufacture of professional and scientific, and measuring and controlling equipment not elsewhere classified, and of photographic and optical goods
390
Other Manufacturing Industries
410
Electricity, Gas and Steam
420
Water Works and Supply
500
Construction
610
Wholesale Trade
620
Retail Trade
631
Restaurants, cafés and other eating and drinking places
632
Hotels, rooming houses, camps and other lodging places
711
Land transport
712
Water transport
713
Air transport
719
Services allied to transport
720
Communication
810
Financial Institutions
820
Insurance
831
Real estate
832
Business services except machinery and equipment rental and leasing
833
Machinery and equipment rental and leasing
910
Public Administration and Defence
920
Sanitary and Similar Services
931
Education services
932
Research and scientific institutes
933
Medical, dental, other health and veterinary services
934
Welfare institutions
935
Business, professional and labour associations
939
Other social and related community services
941
Motion picture and other entertainment services
942
Libraries, museums, botanical and zoological gardens, and other cultural services not elsewhere classified
951
Repair services not elsewhere classified
952
Laundries, laundry services, and cleaning and dyeing plants
953
Domestic services
959
Miscellaneous personal services
960
International and Other Extra-Territorial Bodies
998
Unknown
999
NIU (not in universe)
This variable indicates the industry in which the person works.
Work: Industry Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
For Persons 12 Years and Older
25. What is your marital status?
[] Married
[] Separated
[] Divorced
[] Widowed
[] Never married
[] Living together/cohabiting
5.7 Marital Information
P28 What is your marital status?
This question will be asked of all persons 12 years and older. Please, shade the appropriate response.
5.7.1 Married
Marriage is any permanent living arrangement between a man and woman to live together. This includes church marriages, other religiously approved unions, civil registration at a Boma or other civil ceremony that has been performed, and the man and woman are living as husband/wife at present. These are to be recorded as married and the first box should be shaded.
5.7.2 Separated
A man or a woman who is separated, but not legally (Civil or Customary) divorced from his/her partner, and has no other wife/husband now. Shade the second box provided.
5.7.3 Divorced
A man/woman permanently separated from the spouse and has no other spouse now will be included under this category.
5.7.4 Widowed
A man or woman whose partner died and has no wife/husband at present.
55
5.7.5 Never Married
Never married category refers to those who have never been in any marital union (marriage).
5.7.6 Living Together/Cohabiting
Living together or cohabiting category refers to a man and a woman living together as a married couple without any legal, customary or religious consent of the union. The dissolution of this union, therefore, does not require witnesses from the afore-mentioned authorities.
Persons age 12+
1
Married
2
Separated
3
Divorced
4
Widowed
5
Never married
6
Living together or cohabiting
9
NIU (not in universe)
This variable indicates the person's marital status.
Demographic Variables -- PERSON
IPUMS
Any live births
Any live births
Any live births
Any live births
Any live births
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
26. Have you ever had a live birth (including babies who died after birth)?
[] Yes
[] No (Go to Question 30)
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
Females age 12+
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the woman has had a live birth.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of male births still living with you
Number of male births still living with you
Number of male births still living with you
Number of male births still living with you
Number of male births still living with you
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
99
NIU (not in universe)
This variable indicates if the woman has any male children living with her.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of female births still living with you
Number of female births still living with you
Number of female births still living with you
Number of female births still living with you
Number of female births still living with you
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
99
NIU (not in universe)
This variable indicates if the woman has any female children that currently live with her.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of male births living elsewhere
Number of male births living elsewhere
Number of male births living elsewhere
Number of male births living elsewhere
Number of male births living elsewhere
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
99
NIU (not in universe)
This variable indicates if the woman has any male children living elsewhere.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of female births living elsewhere
Number of female births living elsewhere
Number of female births living elsewhere
Number of female births living elsewhere
Number of female births living elsewhere
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
99
NIU (not in universe)
This variable indicates if the woman has any female children living elsewhere.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of male births currently dead
Number of male births currently dead
Number of male births currently dead
Number of male births currently dead
Number of male births currently dead
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
99
NIU (not in universe)
This variable indicates if the woman has had male births that have died.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of female births currently dead
Number of female births currently dead
Number of female births currently dead
Number of female births currently dead
Number of female births currently dead
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
99
NIU (not in universe)
This variable indicates if the woman has had female births that have died.
Fertility and Mortality Variables -- PERSON
IPUMS
Any live births in last 12 months
Any live births in last 12 months
Any live births in last 12 months
Any live births in last 12 months
Any live births in last 12 months
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
28. Live Births
Did you have any live births in the last 12 months?
[] Yes
[] No (Go to Question 30)
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P31: Did you have any Live Birth Since August, 1999?
This question is only asked to females 12-49 years of age. Do not ask this question to females 50 years and older since it will be embarrassing. Shade appropriately. The question is similar to P-29 except that this time we are trying to find out if the female had a live birth in the "last 12 months".
Females age 12 to 49
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates if the woman has had live births in last 12 months.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of past year's male births living with you
Number of past year's male births living with you
Number of past year's male births living with you
Number of past year's male births living with you
Number of past year's male births living with you
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
28. Live Births
Did you have any live births in the last 12 months?
[] Yes
[] No (Go to Question 30)
29. Of the children born to you alive:
a. how many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P31: Did you have any Live Birth Since August, 1999?
This question is only asked to females 12-49 years of age. Do not ask this question to females 50 years and older since it will be embarrassing. Shade appropriately. The question is similar to P-29 except that this time we are trying to find out if the female had a live birth in the "last 12 months".
P32 Of the Children Born to you alive?
The number of male and female children born alive to this female in the last 12 months is to he recorded separately in three different categories. These are:
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent):
b. Still living but staying with some other households" e.g other relatives, in institutions
etc.: and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should he asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none. enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12 to 49 who had a live birth in the last 12 months
1
1
2
2
9
NIU (not in universe)
This variable indicates if the woman has any male children born in the last year living with her.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of past year's female births living with you
Number of past year's female births living with you
Number of past year's female births living with you
Number of past year's female births living with you
Number of past year's female births living with you
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
28. Live Births
Did you have any live births in the last 12 months?
[] Yes
[] No (Go to Question 30)
29. Of the children born to you alive:
a. how many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P31: Did you have any Live Birth Since August, 1999?
This question is only asked to females 12-49 years of age. Do not ask this question to females 50 years and older since it will be embarrassing. Shade appropriately. The question is similar to P-29 except that this time we are trying to find out if the female had a live birth in the "last 12 months".
P32 Of the Children Born to you alive?
The number of male and female children born alive to this female in the last 12 months is to he recorded separately in three different categories. These are:
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent):
b. Still living but staying with some other households" e.g other relatives, in institutions
etc.: and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should he asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none. enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12 to 49 who had a live birth in the last 12 months
1
1
2
2
9
NIU (not in universe)
This variable indicates if the woman has had female births in the past year living with her.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of past year's male births living elsewhere
Number of past year's male births living elsewhere
Number of past year's male births living elsewhere
Number of past year's male births living elsewhere
Number of past year's male births living elsewhere
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
28. Live Births
Did you have any live births in the last 12 months?
[] Yes
[] No (Go to Question 30)
29. Of the children born to you alive:
a. how many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P31: Did you have any Live Birth Since August, 1999?
This question is only asked to females 12-49 years of age. Do not ask this question to females 50 years and older since it will be embarrassing. Shade appropriately. The question is similar to P-29 except that this time we are trying to find out if the female had a live birth in the "last 12 months".
P32 Of the Children Born to you alive?
The number of male and female children born alive to this female in the last 12 months is to he recorded separately in three different categories. These are:
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent):
b. Still living but staying with some other households" e.g other relatives, in institutions
etc.: and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should he asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none. enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12 to 49 who had a live birth in the last 12 months
1
1 or more
9
NIU (not in universe)
This variable indicates if the woman has any male children born in the last year that are living elsewhere.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of past year's female births living elsewhere
Number of past year's female births living elsewhere
Number of past year's female births living elsewhere
Number of past year's female births living elsewhere
Number of past year's female births living elsewhere
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
28. Live Births
Did you have any live births in the last 12 months?
[] Yes
[] No (Go to Question 30)
29. Of the children born to you alive:
a. how many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P31: Did you have any Live Birth Since August, 1999?
This question is only asked to females 12-49 years of age. Do not ask this question to females 50 years and older since it will be embarrassing. Shade appropriately. The question is similar to P-29 except that this time we are trying to find out if the female had a live birth in the "last 12 months".
P32 Of the Children Born to you alive?
The number of male and female children born alive to this female in the last 12 months is to he recorded separately in three different categories. These are:
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent):
b. Still living but staying with some other households" e.g other relatives, in institutions
etc.: and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should he asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none. enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12 to 49 who had a live birth in the last 12 months
1
1 or more
9
NIU (not in universe)
This variable indicates if the woman has had female births in the past year living elsewhere.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of past year's male births currently dead
Number of past year's male births currently dead
Number of past year's male births currently dead
Number of past year's male births currently dead
Number of past year's male births currently dead
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
28. Live Births
Did you have any live births in the last 12 months?
[] Yes
[] No (Go to Question 30)
29. Of the children born to you alive:
a. how many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P31: Did you have any Live Birth Since August, 1999?
This question is only asked to females 12-49 years of age. Do not ask this question to females 50 years and older since it will be embarrassing. Shade appropriately. The question is similar to P-29 except that this time we are trying to find out if the female had a live birth in the "last 12 months".
P32 Of the Children Born to you alive?
The number of male and female children born alive to this female in the last 12 months is to he recorded separately in three different categories. These are:
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent):
b. Still living but staying with some other households" e.g other relatives, in institutions
etc.: and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should he asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none. enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12 to 49 who had a live birth in the last 12 months
1
1
2
2
9
NIU (not in universe)
This variable indicates if the woman has had male births in the past year that have died.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of past year's female births currently dead
Number of past year's female births currently dead
Number of past year's female births currently dead
Number of past year's female births currently dead
Number of past year's female births currently dead
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
28. Live Births
Did you have any live births in the last 12 months?
[] Yes
[] No (Go to Question 30)
29. Of the children born to you alive:
a. how many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P31: Did you have any Live Birth Since August, 1999?
This question is only asked to females 12-49 years of age. Do not ask this question to females 50 years and older since it will be embarrassing. Shade appropriately. The question is similar to P-29 except that this time we are trying to find out if the female had a live birth in the "last 12 months".
P32 Of the Children Born to you alive?
The number of male and female children born alive to this female in the last 12 months is to he recorded separately in three different categories. These are:
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent):
b. Still living but staying with some other households" e.g other relatives, in institutions
etc.: and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should he asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none. enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12 to 49 who had a live birth in the last 12 months
1
1
2
2
9
NIU (not in universe)
This variable indicates if the woman has had female births in the past year that have died.
Fertility and Mortality Variables -- PERSON
IPUMS
Has Zambian Registration Card
Has Zambian Registration Card
Has Zambian Registration Card
Has Zambian Registration Card
Has Zambian Registration Card
National Registration and Electoral Information
For Persons 16 and Older
30. Do you have a Zambian Registration Card?
[] Yes
[] No
31. Are you a registered voter?
[] Yes
[] No
5.9 National Registration and Electoral Questions
Questions in this section are to be asked to all persons 16 years and older. This is a new topic and you have to inform the respondent that you are now going to ask him/her about the national registration.
P33: Do you have a Zambian National Registration Card?
Find out whether the respondent has a Zambian National Registration Card. Note that the Registration cards referred to here at,: both the green and pink cards issued by the Zambian Government. Shade appropriately according to the response given.
Persons age 16+
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person has a Zambian registration card.
Other Person Variables -- PERSON
IPUMS
Registered voter
Registered voter
Registered voter
Registered voter
Registered voter
National Registration and Electoral Information
For Persons 16 and Older
30. Do you have a Zambian Registration Card?
[] Yes
[] No
31. Are you a registered voter?
[] Yes
[] No
5.9 National Registration and Electoral Questions
Questions in this section are to be asked to all persons 16 years and older. This is a new topic and you have to inform the respondent that you are now going to ask him/her about the national registration.
P34: Are you a Registered Voter?
Find out whether the respondent is a registered voter. Note that the Registration Cards referred to here are both the green and pink card. Shade appropriately according to the response given.
Persons age 16+
1
Yes
2
No
9
NIU (not in universe)
This variable indicates if the person is a registered voter.
Other Person Variables -- PERSON
IPUMS
Number of children ever born
Number of children ever born
Number of children ever born
Number of children ever born
Number of children ever born
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
26. Have you ever had a live birth (including babies who died after birth)?
[] Yes
[] No (Go to Question 30)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10+
98
Unknown
99
NIU (not in universe)
This variable indicates the number of children ever born to a woman.
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
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10+
98
Unknown
99
NIU (not in universe)
This variable indicates the number of male children ever born.
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
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10+
98
Unknown
99
NIU (not in universe)
This variable indicates the number of female children ever born.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of children born still living
Number of children born still living
Number of children born still living
Number of children born still living
Number of children born still living
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10+
98
Unknown
99
NIU (not in universe)
This variable indicates the number of children born still living.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of male children born still living
Number of male children born still living
Number of male children born still living
Number of male children born still living
Number of male children born still living
For Females 12 Years and Older ? Fertility
(Own children ever born alive)
27. Of the children born to you alive:
a. How many are still living with you? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
b. how many are living elsewhere in some other household? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
c. how many died? How many of these are male and how many are female?
Total: _____
Male:____
Female:_____
5.8 Fertility: for females 12 years and older
You are about to start a new topic so you have to prepare the respondent by informing her that you are now going to ask her questions about children and child bearing. Remember these are questions to be asked of female adults and not for husbands to answer for their wives, except where it is inevitable. Questions on fertility are to be asked only of those females who are 12 years and older and they involve only their own children.
P29: Live Births
This is a child who, after being delivered showed signs of life, like crying, movement by involuntary reflexes, etc. If a child never showed any of these actions when it was born, then it was not a live birth. Married females tend to leave out children from earlier marriages. These are also supposed to be included for all the questions. Shade first box for YES and the second for No. If the answer is NO, skip to Question P-33.
P30: Of The Children Born To You Alive How Many....?
The number of male and female children ever born alive to this female is to be recorded separately in three different categories. These are
a. Still living and still at home with the respondent (i.e staying in the same household with the respondent);
b. Still living but staying with some other households" e.g other relatives, married off, in institutions etc.; and
c. Those who have since died (regardless of whether the death took place just after or much later in life).
If a woman is visiting, then the question of "still living with you" should be asked with respect to her usual place of residence. That is about children she normally stays with. Enter the number of children as reported by sex in two digits e.g. if 1 male child is living with her shade 0 in the first column and I in the second column under male. If the answer is none, enter 00 and shade the 2 zeros in the two columns. Never leave a column blank.
Females age 12+ with children ever born
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10+
98
Unknown
99
NIU (not in universe)
This variable indicates the number of male children born still living.
Fertility and Mortality Variables -- PERSON
IPUMS
LBMALIVE
LBMALIVE
LBMALIVE
LBMALIVE
LBMALIVE
LBMALIVE
All persons
1
1
2
2
3
3
9
Unknown
No information is available for this variable.
Other Person Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
PERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
Technical Person 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
Number of own male children living elsewhere
Number of own male children living elsewhere
Number of own male children living elsewhere
Number of own male children living elsewhere
Number of own male children living elsewhere
None
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
98
Unknown
99
NIU (not in universe)
AWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent).
Fertility and Mortality 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
DISABLED indicates whether the person reported a disability of any kind.
Disability 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)
MIGYRS1 indicates how many years the person has resided in their current locality of residence.
Migration Variables -- PERSON
IPUMS
Number of own male children in household
Number of own male children in household
Number of own male children in household
Number of own male children in household
Number of own male children in household
None
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
24
24
25
25
98
Unknown
99
NIU (not in universe)
HOMEMALE indicates the number of male children born living in the household with their mother (the respondent).
Fertility and Mortality Variables -- PERSON
IPUMS
Country of residence 1 year ago
Country of residence 1 year ago
Country of residence 1 year ago
Country of residence 1 year ago
Country of residence 1 year ago
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11999
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12999
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13020
Egypt/United Arab Rep.
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13999
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14999
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15199
Western African, n.s.
19990
Africa, n.s.
19991
Central and South 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. Jon
21220
St. Lucia
21230
St. Thomas
21240
St. Vincent
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21999
Caribbean, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22999
Central America, n.s.
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23990
South America, n.s.
23991
Central and South America
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24041
U.S. Outlying Areas and Territories
24999
North America, n.s.
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
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
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
33199
Other South-Eastern Asia
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestine
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34990
Western Asia, n.s.
34991
Middle East, n.e.c.
39999
Asia, n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41030
Czech Republic
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41999
Eastern Europe, n.e.c.
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42110
Sweden
42120
United Kingdom
42999
Northern Europe, n.s.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43130
Macedonia
43140
Yugoslavia
43999
Southern Europe, n.s.
44000
Western Europe
44010
Austria
44020
Belgium
44030
France
44040
Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44999
Western Europe, n.e.c.
49990
Europe, n.s.
49991
Central-Eastern Europe
49992
European Union 15 countries
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)
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53999
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Tokelau
54070
Tonga
54080
Tuvalu
54090
Wallis and Futuna Isls.
59999
Oceania, n.s.
60000
Other
90000
Non-migrant (international)
99998
Response suppressed
99999
Unknown
MIGCTRY1 indicates the country of residence 1 year ago for international migrants. Persons who did not live abroad 1 year prior are coded to the "non-migrant" category.
Migration Variables -- PERSON
IPUMS
Migration status, 1 year
Migration status, 1 year
Migration status, 1 year
Migration status, 1 year
Migration status, 1 year
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
99
Unknown/missing
MIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions.
Migration Variables -- PERSON
IPUMS
Years of schooling
Years of schooling
Years of schooling
Years of schooling
Years of schooling
None or pre-school
1
1 year
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 or more
90
Not specified
91
Some primary
92
Some technical after primary
93
Some secondary
94
Some tertiary
95
Adult literacy
96
Special education
97
Response suppressed
98
Unknown/missing
99
NIU (not in universe)
YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2.
Users should pay close attention to the top-codes in each sample, as discussed in the comparability section.
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
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
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
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
Education Variables -- PERSON
IPUMS
Religion [general version]
Religion [general version]
Religion [general version]
Religion [general version]
Religion [general version]
NIU (not in universe)
1
No religion
2
Buddhist
3
Hindu
4
Jewish
5
Muslim
6
Christian
7
Other
9
Unknown
RELIGION indicates the person's religion, including "none."
Ethnicity and Language Variables -- PERSON
IPUMS
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
NIU (not in universe)
1000
No religion
1001
Atheist
1002
Without religion
2000
Buddhist
3000
Hindu
4000
Jewish
5000
Muslim
5001
Khadrya
5002
Layenne
5003
Mouride
5004
Tidjane
5005
Ahmadis
5006
Sunni
5007
Shiek
5008
Other Muslim
6000
Christian
6001
Catholic (Roman or unspecified)
6002
Orthodox
6003
Protestant
6004
Evangelical protestant
6005
Pentacostal
6006
Adventist / Seventh-day adventist
6007
Anglican
6008
Assembly of God
6009
Baptist
6010
Church of the Nazarene
6011
Congregational
6012
Dutch Reformed
6013
Episcopalian
6014
Jehovah's Witnesses
6015
Latter Day Saints (Mormon)
6016
Lutheran
6017
Mennonite
6018
Methodist
6019
New Apostolic
6020
Presbyterian
6021
Zion Christian
6100
Other Christian, Austria
6101
Old Catholic
6102
Protestant, Augsburg confession
6103
Protestant, Westminster confession
6104
Protestant, Helvetic confession
6105
Greek Oriental
6106
Armenian Apostolic
6107
Other Protestant
6108
Christian Community for renewal
6109
Christian Community, not specified
6110
Other Christian, Brazil
6111
Christian Congregation of Brazil
6112
Brazilian Catholic Apostolic
6113
Brazil for Christ
6114
Foursquare Gospel
6115
Universal of the Kingdom of God
6116
House of the Blessing
6117
House of Prayer
6118
God is Love
6119
Maranata
6120
Other Christian, Brazil 1991
6121
Undetermined Protestant
6124
Other traditional Protestant
6125
Neo-Christian
6126
Other Neo-Christian
6127
Undetermined Christian
6128
Other Christian, Brazil 2000
6129
Other Catholic
6130
Renewed Evangelical Protestant without institutional ties
6131
Pentecostal Evangelical without institutional ties
6132
New Life Evangelical Protestant Pentecostal
6133
Evangelical Protestant Biblical Revival Pentecostal
6134
Chain Of Prayer Pentecostal
6135
Undetermined Evangelical Protestant
6136
Religion Of God
6137
Christian without institutional ties
6138
Other Christian, Canada
6139
Other Catholic
6140
United Church
6141
Protestant, not specified
6142
Other Protestant
6143
Other Christian, Germany
6144
Oriental Christian
6145
Other Christian, Ghana
6146
Other Christian, Iran
6147
Assyrian or Chaldean
6148
Armenian
6149
Other Christians
6150
Other Christian, Indonesia
6151
Other Christian
6152
Protestant/Other Christian
6153
Other Christian, Ireland
6154
Quaker
6155
Other Christian, Jamaica
6156
Brethren
6157
Church of God
6158
Church of God of Prophecy
6159
Other Church of God
6160
Moravian
6161
United Church
6162
Salvation Army
6163
New Testament
6164
Disciples of Christ
6165
Other Christian, Mexico
6166
Anabaptist
6167
Calvinist
6168
Cuaquera
6169
Disciples of Christ
6170
Christian Friendship Church
6171
Prayer House Church
6172
Faith Center
6173
Agape Force Church
6174
Alpha and Omega Church
6175
Living Water Church
6176
Apostolic Church
6177
Church of God
6178
Church of God of Prophecy
6179
Complete Gospel Church
6180
Evangelical Siblings Church
6181
Upper Room Church
6182
Pentacostal Indigenous Church
6183
Angular Stone Voice Church
6184
Pentacostal Missionary
6185
Christian
6186
Christian Societies
6187
Evangelical
6188
Evangelical Societies
6189
New Testament Evangelical
6190
Pentecostal
6191
Pentecostal Societies
6192
Independent Pentecostal
6193
Evangelical Christian Societies
6194
Pentecostal Christian Societies
6195
Evangelical Pentecostal Societies
6196
Evangelical Pentecostal Christian Societies
6197
Soldiers of Christ's Cross Church
6198
Tabernacle
6199
Traditionalists
6200
Other Evangelical Pentecostal Societies
6201
Pentecostal not clearly specified
6202
Living God, Light of the World
6203
Christian and Missionary Alliance
6204
Non-Pentecostal Apostolic
6205
Evangelical Associations
6206
Biblical
6207
Confraternities
6208
Christ Church
6209
Peace Grace and Misericordia Church
6210
Open Bible Church
6211
Holiness Church
6212
Evangelical Salem Church
6213
Beautiful Woman Dressed in the Sun
6214
Messianic Church
6215
Evangelical Ministers
6216
Evangelical Missionaries
6217
Evangelical Movements
6218
New Jerusalem
6219
World Vision Church
6220
Evangelical not clearly specified
6221
Biblical - non-evangelicals
6222
Other Christians not clearly specified
6223
Assumptionist
6224
Carmelite
6225
Claretian
6226
Conception Franciscan
6227
Maronite Diocese of Mexico
6228
Dominican
6229
Servants of Mary Immaculate
6230
Franciscan
6231
Guadalupan
6232
Daughters of the Immaculate Conception
6233
Jesuit
6234
Legionaries of Christ
6235
Divine Word Missionary
6236
Pauline
6237
Sacred Heart
6238
Saint Joseph of Tarbes
6239
Servant of the Lord and the Virgin
6240
Servant of Jesus
6241
Greek Catholic Church
6242
Reformed Roman Catholic Church
6243
Mexican National Catholic Church
6244
Tridentine Latin Rite Catholic Church
6245
Priestly Society Trento
6246
Mexican Catholic Union of Trento
6247
Anabaptist / Memnonite
6248
Anglican / Episcopal
6249
House of Prayer
6250
Center of Faith, Hope and Love of the Missionary Revival Crusade
6251
Center of Faith, Hope and Love Agape Force
6252
Salvation Army
6253
Independent Pentecostal Fellowship
6254
Upper Chamber Church
6255
Faith Apostolic Church of Jesus Christ
6256
Spiritual Christian Church
6257
Pentecostal Evangelical Christian Church
6258
Interdenominational Christian Church
6259
Church of God Full Gospel in Mexico
6260
Church of Jesus Christ on the Rock
6261
Christ Evangelical Pentecostal Church Rock of my Salvation
6262
Mexican Church of Christ's Gospel Pentecost
6263
United Pentecostal Church of Mexico
6264
Universal Church of the Kingdom of God
6265
Only Christ Savior Christian Church
6266
Independent Evangelical Pentecostal Movement
6267
Prince of Peace
6268
National Union of Evangelical Christian Churches (UNICE)
6269
Union of Independent Evangelical Churches
6270
Other associations Pentecostal
6271
Church of the Living God, Pillar and Support of Truth, the Light of the World
6272
Bible Church
6273
Interdenominational Christian Church in Mexico
6274
Church of Christ
6275
Honey Church of Christ
6276
Independent Evangelical Church in Mexico
6277
Renewed Church of Jesus Christ and the Apostles of Divine Love
6278
Other Christian and Evangelical associations without Pentecostal support
6279
Faith Christian Church
6280
Traditional Apostolic Catholic Holy Church Mexico-USA
6281
Mexican Apostolic Catholic Church
6282
Elias
6283
Spiritualistic
6284
Spiritualist
6285
Marian Trinitarian Spirituality
6286
Spirituality of the Third Age
6287
Christian Spiritual
6288
Judiciary Society Reign of Leonardo Alcalá Leos
6289
Spirituality for the Divine Master and the purity of Mary
6290
Light and Hope
6291
Holy Spirit, Purity, Love and Light
6292
Christian Science
6293
Other Christian, Netherlands
6294
Reformed Churches in The Netherlands
6295
Other Reformed
6296
Other Christian, Nicaragua
6297
Moravian
6298
Other Christian, Philippines
6299
Aglipay
6300
Bible Christian Committees
6301
Born-again Christian
6302
Bread of Life Ministries
6303
Charismatic Full Gospel Ministries
6304
Christ the Living Stone Fellowship
6305
Christian and Missionary Alliance
6306
Christians Missions
6307
Church of Christ
6308
Evangelical Christian Outreach Foundation
6309
Evangelical Free Church
6310
Filipino Assemblies of the First Born Inc.
6311
Foursquare Gospel
6312
Free Believers in Christ Fellowship
6313
Free Mission in the Philippines Inc.
6314
God World Mission
6315
Good News Christian Churches
6316
IEMELIF Reform Movement
6317
Iglesia Evangelista Methodista en Las
6318
Iglesia ni Cristo
6319
Jesus Christ Saves Global Outreach
6320
Jesus is Lord Church
6321
Jesus Reigns Ministries
6322
Love of Christ International Ministries
6323
Other evangelical
6324
Other Evangelical Church
6325
Other Protestants
6326
Philippine Evangelical Mission
6327
Philippine Grace Gospel Fellowship
6328
Philippines Benevolent Missionaries
6329
Potter's House Christian Center
6330
Salvation Army Philippines
6331
Take the Nation for Jesus Global Ministries (Corpus Christi)
6332
UNIDA Evangelical Church
6333
United Church of Christ in the Philippines
6334
United Evangelical Church of the Philippines (Chinese)
6335
Victory Chapel Christian Fellowship
6336
Wesleyan Church
6337
World Missionary Evangelism
6338
Worldwide Church of God
6339
Zion Christian Community Church
6340
Other Christian, Portugal
6341
Other Christian, Romania
6342
Greek Catholic
6343
Reformed Church
6344
Evangelic of Augustan Confession
6345
Evangelic Synodo-Presbyterian
6346
Christian of Old Rite
6347
Christian by Gospel
6348
Evangelic
6349
Other Christian, Rwanda 2002
6350
Other Christian, Sierra Leone
6351
Other Christian, South Africa
6352
Reformed
6353
International Fellowship of Christian Churches
6354
Apostolic Faith Mission of SA
6355
Other Apostolic Churches
6356
Pinkster Protestant Church
6357
Afrikaanse Protestant Church
6358
Full Gospel Church of God in Southern Africa
6359
Pentecostal Churches
6360
Salvation Army
6361
Bandla Lama Nazaretha
6362
African Methodist Episcopal Church
6363
St John's Apostolic Church
6364
International Pentecost Church
6365
Ethiopian type churches
6366
Ethnic churches
6367
Other African Independent Churches
6368
Other Christian Churches
6369
Other Catholic Churches
6370
Other Pentecostal Churches
6371
Other Orthodox Churches
6372
Other African Apostolic churches
6373
Other Assemblies
6374
Christian Scientist
6375
Christian Centres
6376
Other Evangelical Churches
6377
Other Charismatic Churches
6378
Other Christian, Uganda
6379
Other Christian
6380
Other Christian, Saint Lucia
6381
Church of God
6382
Other Christian, Senegal
6383
Other Christian
6384
Other Christian, Switzerland
6385
Other protestant churches and communities
6386
Christ-Catholic church
6387
Other Christian communities
6388
Other Christian non-Catholic, Uruguay
6389
Other Christian, Fiji
6390
Christian undefined
6391
Church of England
6392
Gospel Hall and Brethern
6393
CMF (Every Home)
6394
Salvation Army
6395
All Nations Christian Fellowship
6396
Apostles Gospel Outreach Fellowship
6397
Christian Outreach Centre
6398
Other Christian, Brazil 2010
6399
Salvation Army
6400
Other Christian, Cameroon
6401
Other Christian, Armenia
6402
Armenia apostolic
6403
Nestorian
6404
Molokai
6406
Other Christian, Paraguay
6408
Christian Community
6409
Free Brothers
6410
Church of God
6411
Church of God of Prophecy
6412
New testament
6414
God is love
6415
Universal Church of the Kingdom of God
6416
People of God
6417
Family worship center
6418
Pseudo-Christian groups
6419
Other Christian, Paraguay
7000
Other
7001
Bahai
7002
Sikh
7003
Other, Austria
7004
Unification Church, Austria
7005
Other, Brazil
7006
Spiritist
7007
Kardecist Spiritist
7008
Afro Spiritist
7009
Mediumistic Spiritist
7010
Umbandist Mediumistic
7011
Candomblecist Mediumistic
7012
Other Afro-Brazilian
7013
Oriental, Brazil
7014
New Oriental
7015
Oriental Seicho No-le
7016
Other Oriental, Brazil
7017
Esoteric, Brazil
7018
Indigenous, Brazil
7019
Other minority groups, Brazil
7020
Other, Canada
7021
Eastern religions, Canada
7022
Other, Chile
7023
Theosophism
7024
Shintoism
7025
Other, Germany
7026
Other, Germany
7027
Other, Ghana
7028
Traditional, Ghana
7029
Other, Guinea
7030
Animist
7031
Other, Guinea
7032
Other, India
7033
Jainism
7034
Zoroastrianism
7035
Other, India
7036
Other, Indonesia
7037
Confucianism
7038
Other, Indonesia
7039
Other, Iran
7040
Zoroastrian
7041
Other, Iran
7042
Other, Jamaica
7043
Muslim/Hindu
7044
Rastafarian
7045
Other, Israel
7046
Druse
7047
Other, Israel
7048
Other, Malaysia
7049
Confucianism/Taoism
7050
Tribal/Folk religion, Malaysia
7051
Other, Mexico
7052
Brahmanism
7053
Hare Krishna
7054
Shintoism
7055
Taoism
7056
Mexican Movements
7057
Ananda Marga
7058
Church of Scientology
7059
Masons
7060
Raelian Movement
7061
New Age Movement
7062
Neoisraelites
7063
Occultists
7064
Palmar of Troya
7065
Rose Cross
7066
Theosophism
7067
Spiritualist Special Keys
7068
Onkaranada Center
7069
Confucianism
7070
Shia
7071
Universal Great Brotherhood
7072
Esoteric Science
7073
Gnosticism
7074
Metaphysics
7075
Wicca
7076
Shamanism
7077
The Custom
7078
Mexicayotl
7079
Restorative Confederate Movement of Anahuac Culture
7080
African Origin
7081
Rastafarians
7082
Indigenous Religions
7083
Growing in Grace
7084
Eckankar
7085
Transcendental Meditation
7086
Mission Branch
7087
Children of God
7088
Sri Sathya Sai Baba
7089
Other new religious movements
7090
Other, Philippines
7091
Door of Faith
7092
Faith Tabernacle Church (Living Rock Ministries)
7093
International One Way Outreach
7094
Miracle Life Fellowship International
7095
Miracle Revival Church of the Philippines
7096
Philippine Good News Ministries
7097
Philippine Missionary fellowship
7098
Things to Come
7099
Way of Salvation
7100
Word of the World
7101
Tribal Religions, Philippines
7102
Other, Romania
7103
Unitarian
7104
Armenian
7105
Mosaic
7106
Other, Romania
7107
Other, Rwanda
7108
Traditional religion, Rwanda
7109
Other, Rwanda
7110
Other, Sierra Leone
7111
Traditional religion, Sierra Leone
7112
Other, South Africa
7113
African traditional belief
7114
Taoist
7115
Confucian
7116
New Age
7117
Other non-Christian, S. Africa
7118
Other, Uganda
7119
Traditional religion
7120
Other non-Christian, Uganda
7121
Other, United Kindom
7122
Other, Vietnam
7123
Hoa Hoa
7124
Cao Dai
7125
Other, Nepal
7126
Kirat
7127
Jain
7128
Garaute
7129
Tap jura
7130
Other, Pakistan
7131
Ahmadi
7132
Parsi
7133
Scheduled caste
7134
Other, Saint Lucia
7135
Rastafarian
7136
Other, Thailand
7137
Confucian
7138
Other, Uruguay
7139
Umbanda/other Afro-American
7140
Other, Uruguay
7141
Other, Burkina Faso
7142
Animist
7143
Other, Fiji
7144
Confucian
7145
Kabir Panthi
7146
Satya Sai Baba
7147
Bahai
7148
Other non-Christian, Fiji
7149
Other, Haiti
7150
Voodoo
7151
Other, Cameroon
7152
Animist
7153
Other, Liberia
7154
Traditional
7155
Other, Mali
7156
Animist
7157
Other, Nigeria
7158
Traditional
7159
Other, Armenia
7160
Pagan
7161
Shar-fadinian
7162
Other, Ethiopia
7163
Traditional
7164
Other, Ethiopia
7165
Other, Paraguay
7166
Philosophical revelations
7167
Indigenous religion
7168
Reyukai
7169
Other, Paraguay
7900
Other, not elsewhere classified
9999
Unknown
RELIGION indicates the person's religion, including "none."
Ethnicity and Language Variables -- PERSON
IPUMS
Ethnicity, Zambia
Ethnicity, Zambia
Ethnicity, Zambia
Ethnicity, Zambia
Ethnicity, Zambia
1
Bemba
2
Lunda (Luapula)
3
Lala
4
Bisa
5
Ushi
6
Chishinga
7
Ngumbo
8
Lamba
9
Kabende
10
Tabwa
11
Swaka
12
Mukulu
13
Ambo
14
Lima
15
Shila
16
Unga
17
Bwile
18
Luano
19
Tonga
20
Lenje
21
Soli
22
Ila
23
Toka-Leya
24
Sala
25
Gowa
26
Luvale
27
Lunda (North-western)
28
Mbunda
29
Luchazi
30
Ndembu
31
Mbowe
32
Chokwe
33
Kaonde subgroup
34
Luyana subgroup
35
Kwangwa
36
Kwandi
37
Koma
38
Nyengo
39
Simaa
40
Mwenyi
41
Imilangu
42
Mashi
43
Lozi
44
Totela
45
Subiya
46
Nkoya
47
Mashasha
48
Chewa
49
Nsenga
50
Ngoni
51
Nyanja
52
Kunda
53
Chikunda
54
Lungu
55
Mambwe
56
Namwanga
57
Wina
58
Tambo
59
Tumbuka
60
Senga
61
Yombe
64
African
65
American
66
Asian
67
European
68
Other
99
Unknown
ETHNICZM reports the tribal affiliation of persons in Zambia. Where there is no tribal affiliation, the major ethnic group is indicated.
Ethnicity and Language Variables -- PERSON
IPUMS
Speaks English
Speaks English
Speaks English
Speaks English
Speaks English
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
SPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy.
Ethnicity and Language 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
11051
Ethiopia (including Eritrea)
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
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
15021
Upper Volta
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15081
Guinea-Bissau and Cape Verde
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15990
West Africa, n.s.
19990
Africa, other and n.s.
19991
Central and South Africa
19992
East and Central Africa
19993
Southeastern Africa
19994
Saharan 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
Other Caribbean and n.s.
21991
Caribbean commonwealth, 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.
39994
Asia/Middle East, other and n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41021
Bulgaria/Greece
41030
Czech Republic/Czechoslovakia
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
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 Herzegovina
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43071
Vatican City
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43121
Spain/Portugal
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43143
Serbia and Montenegro
43144
Kosovo
43990
Southern Europe, n.s.
43991
Gibraltar/Malta
43992
Portugal/Greece
43993
Italy, Holy See, San Marino
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxemburg
44022
Belgium/Netherlands/Luxemburg
44030
France
44040
Germany
44041
Germany/Austria
44042
West Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44990
Western Europe, n.s.
44991
Belgium, Denmark, Luxembourg, Netherlands
49991
Turkey and U.S.S.R.
49992
European Union
49993
European Union (Original 15)
49994
Other European Union
49995
EEA, Switzerland, associated microstates
49999
Europe, other and n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
52999
Melanesia, n.s.
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53990
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
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
60600
Other commonwealth
60700
Asia, Australia, Oceania, n.s.
69900
Other countries, not specified
99999
Unknown
BPLCOUNTRY indicates the person's country of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
Number of births last year
Number of births last year
Number of births last year
Number of births last year
Number of births last year
None
1
1 (1 or more)
2
2
3
3
4
4+
8
Unknown
9
NIU (not in universe)
BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months.
Fertility and Mortality Variables -- PERSON
IPUMS
Children surviving from births last year
Children surviving from births last year
Children surviving from births last year
Children surviving from births last year
Children surviving from births last year
1
1 (1 or more)
2
2
3
3
4
4+
8
Unknown
9
NIU (not in universe)
BIRTHSURV indicates the number of children born in the past twelve months who were still living at the time of the census.
Fertility and Mortality 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
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20+
98
Unknown
99
NIU (not in universe)
HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of own children living elsewhere
Number of own children living elsewhere
Number of own children living elsewhere
Number of own children living elsewhere
Number of own children living elsewhere
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
98
Unknown
99
NIU (not in universe)
AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) 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
NATIVITY indicates whether the person was native- or foreign-born.
Nativity and Birthplace Variables -- PERSON
IPUMS
Number of female children dead
Number of female children dead
Number of female children dead
Number of female children dead
Number of female children dead
None
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+
98
Unknown
99
NIU (not in universe)
CHDEADFEM indicates the number of female children ever born to a woman who are no longer living. Stillbirths are not counted.
It is possible to calculate total child deaths for samples that have both the "Female children ever born" and "Female children surviving" variables. That is not done in CHDEADFEM, which includes only the samples that directly reported the information in the appropriate form.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of male children dead
Number of male children dead
Number of male children dead
Number of male children dead
Number of male children dead
None
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+
98
Unknown
99
NIU (not in universe)
CHDEADMALE indicates the number of male children ever born to a woman who are no longer living. Stillbirths are not counted.
It is possible to calculate total child deaths for samples that have both the "Male children ever born" and "Male children surviving" variables. That is not done in CHDEADMALE, which includes only the samples that directly reported the information in the appropriate form.
Fertility and Mortality 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+
98
Unknown
AGE2 gives computed years of age grouped into intervals.
Demographic 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 Person 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 Person 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 Person 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 Person Variables -- PERSON
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 Person Variables -- PERSON
IPUMS