DDI_PRY_1962_PHC_v01_M_v01_A_IPUMS
Minnesota Population Center
Development Data Group
2016-04-25
NADA
- v6.4 (April 2016)
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.
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.
Censo de Población y Viviendas 1962 - IPUMS Subset
PHC 1962 (IPUMS Harmonized Subset)
PRY_1962_PHC_v01_M_v01_A_IPUMS
General Directorate of Statistics and Censuses (DGEC)
Minnesota Population Center
(c) Copyright 1962, General Directorate of Statistics and Censuses (DGEC) and Minnesota Population Center
NADA
General Directorate of Statistics and Censuses (DGEC)
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.
Technical Household Variables -- HOUSEHOLD
Geography: M-Z Variables -- HOUSEHOLD
Group Quarters Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Demographic Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Migration Variables -- PERSON
Ethnicity and Language Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Work: Occupation Variables -- PERSON
Work: Industry Variables -- PERSON
Fertility and Mortality Variables -- PERSON
Other Person Variables -- PERSON
Disability Variables -- PERSON
Constructed Household Variables -- HOUSEHOLD
Constructed Family Interrelationship Variables -- PERSON
Geography: Global Variables -- HOUSEHOLD
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.
Paraguay
National coverage
District
Dwelling
UNIT DESCRIPTIONS:
- Dwellings: Any premise or enclosure structurally separate and independent, which has been constructed,converted, or adapted for the purpose of permanent or temporary lodging of people, as well as any type of shelter, fixed or mobile, occupied as a place of dwelling on the date of the census
- Households: A private household includes the resident members of a private or family dwelling who live together as a family; it usually consists of a household head, his or her family members, visitors, guests, domestic servants, up to five boarders, and all other occupants.
- Group quarters: A place of residence where a group of people, generally without family ties, live communally for reasons of discipline, health, religion, defense, or education, such as juvenile detention centers, prisons, hospitals, boarding schools, hotels, convents, guest houses, homes for the elderly, workers' camps, etc. Households with six or more boarders are considered collective dwellings.
All persons who were in the country at 12am on 14 October 1962
Census/enumeration data [cen]
SAMPLE DESIGN: Systematic sample of every 20th household with a random start, drawn by CELADE
SAMPLE UNIT: household
SAMPLE FRACTION: 5%
SAMPLE SIZE (person records): 90,236
Face-to-face [f2f]
A single enumeration form requested information on the dwelling and individuals.
De facto, CENSUS DAY: October 14, 1962
Self-weighting (expansion factor = 20).
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:
Paraguay, General Directorate of Statistics and Censuses (DGEC), Censo de Población y Viviendas, 1962
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.
PRY1962-H-H
Household record
0
31
PRY1962-P-H
Person records
0
83
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
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
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
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
28
30
30
This variable indicates the number of persons in the household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of spouses in household
Number of spouses in household
Number of spouses in household
Number of spouses in household
Number of spouses in household
Number of spouses in household
All records
Zero
1
One
2
Two or more
This variable indicates the number of spouses in the 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 a dwelling was created by splitting apart a large dwelling or household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Dwelling created by splitting apart a fragment household
Dwelling created by splitting apart a fragment household
Dwelling created by splitting apart a fragment household
Dwelling created by splitting apart a fragment household
Dwelling created by splitting apart a fragment household
Dwelling created by splitting apart a fragment household
All records
No
1
Yes (dwelling fragment)
This variable indicates that a dwelling was created by splitting apart a fragment household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Urban area type
Urban area type
Urban area type
Urban area type
Urban area type
A. Geographic location
Category:
[] 1 City [Urban]
[] 2 Town [Urban]
[Repetition of "1" and "2" in the original.]
[] 1 Hamlet [caserio]
[] 2 Small village or settlement [paraje]
[] 3 Estate [estancia]
[] 4 Post
[] 5 Indian settlement [toldería]
[] 6 Others (specify) ____
Households in urban areas
1
City
2
Town
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household is located in an urban area.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Rural area type
Rural area type
Rural area type
Rural area type
Rural area type
A. Geographic location
Category:
[] 1 City [Urban]
[] 2 Town [Urban]
[Repetition of "1" and "2" in the original.]
[] 1 Hamlet [caserio]
[] 2 Small village or settlement [paraje]
[] 3 Estate [estancia]
[] 4 Post
[] 5 Indian settlement [toldería]
[] 6 Others (specify) ____
Households in rural areas
1
Hamlet
2
Site
3
Estate (ranch, farm, plantation, mansion)
4
Outpost
5
Other
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household is located in a rural area.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Urban/Rural
Urban/Rural
Urban/Rural
Urban/Rural
Urban/Rural
A. Geographic location
Category:
[] 1 City [Urban]
[] 2 Town [Urban]
[Repetition of "1" and "2" in the original.]
[] 1 Hamlet [caserio]
[] 2 Small village or settlement [paraje]
[] 3 Estate [estancia]
[] 4 Post
[] 5 Indian settlement [toldería]
[] 6 Others (specify) ____
All households
1
Urban
2
Rural
9
Unknown
This variable indicates whether the household is located in an urban or rural area.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Type of dwelling
Type of dwelling
Type of dwelling
Type of dwelling
Type of dwelling
IX.
[] 1 Private dwelling
[] 2 Group quarters
43 - Dwelling. Any premise or enclosure [recinto, compound] structurally separate and independent, which has been constructed, made, converted, or arranged for the purpose of permanent or temporary lodging for people, as well as any type of shelter, fixed or mobile, occupied as a place of dwelling on the date of the census. Therefore, the dwelling can be constituted by:
a) A house, apartment, floor, room or group of rooms, hut [rancho], etc. independent, set apart to give lodging to a group of people or a single person;
b) A boat, vehicle, railroad car, tent, etc., as well as any other type of shelter (barn, garage), occupied as a place of lodging on the date of the census.
44 - Private dwelling. Is one used, or meant to be used, as a living space or domicile separate and independent, by a family, or other group of persons with or without family ties but who live together under a family structure, or by one person who lives alone.
45 - Collective dwelling. Is one used or meant to be used as a place of dwelling by a group of persons among whom there are not always family ties and who generally live a communal life for reasons of punishment, health, teaching, military or religious life, work or others, such as: reformatories, barracks, hospitals, boarding schools, hotels, convents, boarding houses, elderly homes, work camps, etc.
46 - a) Boarding houses. A family dwelling in which boarders lodge (including those who pay only for the habitation) will continue to be considered a family [dwelling] if the total number of boarders is five or less, but if the total number of boarders is six or more, the dwelling will be classified as group quarters.
47 - If in a group quarters, for example, an insane asylum or hospital, there exists one or more units of habitation in which the director or any other official lives, with their family, such units shall be considered private dwellings.
48 - b) Dwellings in buildings not specifically designated for habitation. Buildings exclusively designated for commercial, industrial or service purposes, such as stores, warehouses, storage units, factories, etc., will not be considered a dwellings, unless within them exists an apartment, room or group of rooms, occupied as a dwelling by the owner, or the watchperson, or the doorman, etc. with or without their family. In this case, the part occupied by the person or persons mentioned shall be considered a dwelling.
49 - Census household. The census household refers to all groups of people with or without family ties, who live together under a family regimen for reasons of discipline, health, religious or military life, teaching, etc.
This general definition implies the distinction between the following two basic categories:
a) The private household;
b) The group quarters.
50 - Private household. The private household includes all the resident members of a private or family dwelling who live together, under a family regimen and is constituted in the majority of cases by the head of family, the family members of this person (wife or partner, children, grandchildren, nieces and nephews, etc.), visitors, guests, boarders, domestic servants and all other occupants.
51 - If there are five boarders or less in the private household, it will continue being considered private, but if the number be of six or more, it will be considered collective.
52 - A person who lives alone in a dwelling also constitutes a private household.
53 - Group quarters [Colectividad]. A group quarters includes all the inhabitants of a collective dwelling who generally do not have family ties among them but who live a communal life for reasons of health, discipline, religious life, etc. Families with six or more boarders are also considered as non-family groups.
All households
1
Private household
2
Collective
9
Unknown
This variable indicates the type of dwelling.
Group Quarters 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
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
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
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
Paraguay, Department 1962 - 2002 [Level 1; consistent boundaries, GIS]
Paraguay, Department 1962 - 2002 [Level 1; consistent boundaries, GIS]
Paraguay, Department 1962 - 2002 [Level 1; consistent boundaries, GIS]
Paraguay, Department 1962 - 2002 [Level 1; consistent boundaries, GIS]
Paraguay, Department 1962 - 2002 [Level 1; consistent boundaries, GIS]
600000
Asunción
600001
Concepción
600002
San Pedro
600007
Itapúa
600008
Misiones and Ñeembucú
600009
Guairá, Caazapá, and Paraguarí
600010
Cordillera, Caaguazú, Alto Paraná, and Canindeyú
600011
Central
600013
Amambay
600015
Presidente Hayes, Boqueron, and Alto Paraguay
600099
Unknown
GEO1_PY identifies the household's department within Paraguay in all sample years. Departments are the first level administrative units of the country. GEO1_PY is spatially harmonized accounting 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_PY can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Paraguay 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 Paraguay. 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
Paraguay, Department 1962 - 2002 [Level 1; inconsistent boundaries, harmonized by name]
Paraguay, Department 1962 - 2002 [Level 1; inconsistent boundaries, harmonized by name]
Paraguay, Department 1962 - 2002 [Level 1; inconsistent boundaries, harmonized by name]
Paraguay, Department 1962 - 2002 [Level 1; inconsistent boundaries, harmonized by name]
Paraguay, Department 1962 - 2002 [Level 1; inconsistent boundaries, harmonized by name]
Asunción
1
Concepción
2
San Pedro
3
Cordillera
4
Guairá
5
Caaguazú
6
Caazapa
7
Itapúa
8
Misiones
9
Paraguarí
10
Alto Paraná
11
Central
12
Ñeembucú
13
Amambay
14
Canindeyú
15
Presidente Hayes
16
Boqueron, Alto Paraguay
99
Unknown
GEO1_PYX identifies the household's department within Paraguay in all sample years. Departments are the first level administrative units of the country. GEO1_PYX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for Paraguay 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 Paraguay. 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
Paraguay, District 1962 - 2002 [Level 2; inconsistent boundaries, harmonizedby name]
Paraguay, District 1962 - 2002 [Level 2; inconsistent boundaries, harmonizedby name]
Paraguay, District 1962 - 2002 [Level 2; inconsistent boundaries, harmonizedby name]
Paraguay, District 1962 - 2002 [Level 2; inconsistent boundaries, harmonizedby name]
Paraguay, District 1962 - 2002 [Level 2; inconsistent boundaries, harmonizedby name]
101
Concepción
103
Horqueta
199
Other Concepción
201
San Pedro
203
Choré
204
General Elizardo Aquino
208
San Estanislao
214
General Isidoro Resquín
216
Guayaibí
217
Capiibary
218
Santa Rosa del Aguaray
299
Other San Pedro
301
Caacupé
318
Tobatí
399
Other Cordillera
401
Villarrica
407
Colonia Independencia
417
Paso Yobai
499
Other Guairá
501
Coronel Oviedo
502
Caaguazú
507
Repatriación
511
Yhú
512
Doctor J. Eulogio Estigarribia
514
Raul Arsenio Oviedo
599
Other Caaguazú
601
Caazapá
602
Abaí
607
San Juan Nepomuceno
610
Yuty
699
Other Caazapá
701
Encarnación
703
Cambyretá
710
Natalio
720
San Pedro del Paraná
721
San Rafael del Paraná
723
Edelira
724
Tomás Romero Pereira
799
Other Itapúa
803
San Ignacio
899
Other Misiones
901
Paraguarí
905
Carapeguá
915
Yaguarón
916
Ybycuí
999
Other Paraguarí
1001
Ciudad del Este
1002
Presidente Franco
1005
Hernandarias
1006
Itakyry
1011
Minga Guazú
1099
Other Alto Paraná
1101
Areguá
1102
Capiatá
1103
Fernando de la Mora
1106
Itauguá
1107
Lambaré
1108
Limpio
1109
Luque
1110
Mariano Roque Alonso
1112
Ñemby
1113
San Antonio
1114
San Lorenzo
1115
Villa Elisa
1116
Villeta
1118
Ypané
1119
Julian Augusto Saldívar
1199
Other Central
1201
Pilar
1299
Other Ñeembucú
1301
Pedro Juan Caballero
1399
Other Amambay
1403
Curuguaty
1499
Other Canindeyu
1505
Nanawa
1599
Other Presidente Hayes
1600
Boquerón and Alto Paraguay
9700
Asuncion
9998
Unknown District
GEO2_PYX identifies the household's district within Paraguay in all sample years. Districts are the second level administrative units of the country, after departments. GEO2_PYX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for Paraguay 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 Paraguay. 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
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
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
UNREL indicates the number of persons in the household who are unrelated to the head.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
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
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Vacant household
1
1 family
2
2 families
3
3 families
4
4 families
5
5 families
6
6 families
7
7 families
8
8 families
9
9 or more families
NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
No married couples in household
1
1 couple
2
2 couples
3
3 couples
4
4 couples
5
5 couples
6
6 couples
7
7 couples
8
8 couples
9
9 or more couples
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
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
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
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
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
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
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
Household record
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
This variable indicates the person number (within household).
Technical Person Variables -- PERSON
IPUMS
Relationship to head
Relationship to head
Relationship to head
Relationship to head
Relationship to head
General characteristics
For individuals of all ages
2. Relationship to the head of household:
Write as appropriate: wife, child, nephew, guest, boarder, servant, etc.
[] 1 Head
____ [blank line for data of other individuals]
Item II: Relationship to the head of household
126 - The condition of head is already printed in the respective space, in the first column of the form. Annotate in the following columns, which correspond to the rest of the family members, the relationship that unites them with the head, for example: wife, child, son-in-law, grandchild, servant, etc.
127 - If the family is based on an unmarried union, annotate the reciprocal relationship of the man with the woman as: "Companion."
128 - In the case of the family members of the employees, pensioners, extended family, visitors, servants, etc., annotate: child of pensioner, child of servant, nephew of extended family member, etc., as the case may be. In the case of a group quarters, annotate the hierarchy of the person, that is to say, that which serves to indicate the order with which their name was written in the first column. For example, in the case of the heads of an institute: Director, Boss, Manager, Superior, and for the rest of the group: patient, interned, prisoner, religious individual, etc., depending on the case.
129 - If two or more persons who are not related occupy the same dwelling, register one of them as the head and the other(s) as "friends."
All persons
1
Head
2
Spouse or partner
3
Child
4
Other relative
5
Boarder
6
Servant
7
Other not related by blood or marriage
9
Unknown
This variable indicates the person's relationship to the household head.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
General characteristics
For individuals of all ages
3. Sex:
Mark the appropriate box.
[] 1 Male
[] 2 Female
Item III: Sex
130 - Annotate the data in the corresponding box.
All persons
1
Male
2
Female
9
Unknown
This variable indicates the person's sex.
Demographic Variables -- PERSON
IPUMS
Age (in years)
Age (in years)
Age (in years)
Age (in years)
Age (in years)
General characteristics
For individuals of all ages
4. Age in years completed.
For those under one year of age, write the number of months completed. For those under one month, write 0 (zero) months.
____ [] 1 Years completed
____ [] 2 Months completed
Item IV: Age In years completed
131 - "Age in years completed" means the age that the person has reached on their last birthday. One form of verifying the exactness of the age declared by the enumerated is asking for the date of birth, always, of course, when they are in conditions to provide this information.
132 - The enumerator should have in mind people's common tendency to round their age, declaring numbers that end in zero or five. Especially in these cases it would be good to find out the date of birth, that is, make sure that the person is not rounding their age, whether it be higher or lower.
133 - If the person does not know their age and no way is found to acquire it, be it utilizing their personal documents or asking their neighbors, the enumerator should make an estimation of their age. If the enumerated person is not present, obtain the information from those present who know the person.
All persons
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
Unknown
This variable indicates the person's age (in years).
Demographic Variables -- PERSON
IPUMS
Age (in months)
Age (in months)
Age (in months)
Age (in months)
Age (in months)
General characteristics
For individuals of all ages
4. Age in years completed.
For those under one year of age, write the number of months completed. For those under one month, write 0 (zero) months.
____ [] 1 Years completed
____ [] 2 Months completed
Item IV: Age In years completed
131 - "Age in years completed" means the age that the person has reached on their last birthday. One form of verifying the exactness of the age declared by the enumerated is asking for the date of birth, always, of course, when they are in conditions to provide this information.
132 - The enumerator should have in mind people's common tendency to round their age, declaring numbers that end in zero or five. Especially in these cases it would be good to find out the date of birth, that is, make sure that the person is not rounding their age, whether it be higher or lower.
133 - If the person does not know their age and no way is found to acquire it, be it utilizing their personal documents or asking their neighbors, the enumerator should make an estimation of their age. If the enumerated person is not present, obtain the information from those present who know the person.
Persons less than 1 year old
1
0 to 1 months
2
2 months
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
998
Unknown
999
NIU (not in universe)
This variable indicates the person's age (in months).
Demographic Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
General characteristics
For individuals of all ages
5. Marital status:
Mark the appropriate box.
[] 1 Single
Married:
[] 2 Civil and religious ceremony
[] 3 Civil ceremony only
[] 4 Consensual union
[] 5 Widowed
[] 6 Divorced
Item V: Marriage status
134 - Annotate the case in the corresponding box, in accordance with the following definitions:
Single: Has never been married and does not live in a consensual union.
Married: Has entered marital bonds, maintains that state, and does not live in a consensual union.
Consensual union: Live in a marital union without having married.
Widow: Having been married, survives the other spouse and has not remarried, nor lives in a consensual union.
Divorcee: Has terminated their marital bond with their spouse by judicial decree and has not remarried, nor lives in a consensual union.
[pg. 20]
135 - In the cases in which the first and last name of a woman (Item 1) who declares themselves as married, does not include the last name of the husband, the enumerator should make sure if the marital state given is the true one, basing themselves on the other information obtained.
All persons
1
Single
2
Married, civil and religious ceremonies
3
Married, civil ceremony only
4
Consensual union
5
Widowed
6
Divorced
9
Unknown
This variable indicates the person's marital status.
Demographic Variables -- PERSON
IPUMS
Department of birth
Department of birth
Department of birth
Department of birth
Department of birth
General characteristics
For individuals of all ages
6. Place of birth:
If born in Paraguay, write the name of the district of birth. If born abroad write the name of the country.
____ District or country
Item VI: Place of birth
136 - For those born in the country, annotate the name of the district of birth.
137 - For those born outside the country, annotate the name of the country of birth, in accordance with the borders and denominations of that country on the census day.
138 - If the person does not know or has doubts over the name of their country on the census day, annotate the name of the country as of the date of birth of the person, but in this case make note of it in the "observations" section.
All persons
Asunción
1
Concepción
2
San Pedro
3
Cordillera
4
Guairá
5
Caaguazú
6
Caazapá
7
Itapua
8
Misiones
9
Paraguarí
10
Alto Paraná
11
Central
12
Ñeembucú
13
Amambay
14
Presidente Hayes
15
Boquerón
16
Olimpo
90
Foreign country
99
Unknown
This variable indicates the person's department or country of birth. Department is the largest-scale geographic identifier available in the Paraguay samples.
Nativity and Birthplace Variables -- PERSON
IPUMS
Year of migration
Year of migration
Year of migration
Year of migration
Year of migration
General characteristics
For individuals of all ages
7. Migration:
Write the year in which the person came to reside in the place of enumeration. In other cases, whether the person has "always" lived in the place or is "in transit," mark the appropriate box.
____ Year
[] 1 Always
[] 2 In transit
Item VII: Migration
139 - Annotate the year in which the person came to live or reside in the place where they are enumerated.
140 - Place of enumeration means the locality or location, such as: city, town, estate, village, etc., of any population size, where the dwelling of the enumerator is found.
141 - Live or reside in the place of enumeration means: establishment in the place for reasons of work, business, family life, or for any other socio-economic reason, for a period of time of six months or more, or for a lesser period, if the person has come to settle in the place.
142 - A person should not be considered a resident of the place of enumeration if their residence is for purposes of vacation, visits to family, a study trip, or for a similar cause, for less than six months.
143 - If a person has changed their dwelling from one quarter or zone [parroquia] to another within the same city or town, this should not be considered a change of residence for the purposes of this question.
144 - According to these definitions, if the person always lived in the place of enumeration, annotate the box corresponding to the word always with an (x). Otherwise, annotate the year in which they established their residence in the place of enumeration. If the person does not remember exactly the year in which they established their residence in the place of enumeration, annotate the year which appears most probable to this person.
145 - In the case of the enumerated who is in the place of enumeration on vacation or on a study or family visit, or who is in the place for some similar reason for less than six months, but without settling in the place, make an (x) in the box corresponding to the words in transit.
146 - In the case of a person who has returned to the place of enumeration, after having resided in another place/other places, as long as the absence from the place has been for more than six months, annotate the year of their last arrival to the place. If the absence were for less than six months, even if it were to go and settle in another place, or if it were for purposes of vacation, a study visit, etc., such absence should not be considered. An (x) should be marked in the box corresponding to always.
[pg. 21]
147 - It is important that, when registering the information pertinent to this item, the enumerator previously verify:
a) That the informant does not confuse the year of migration to the place of enumeration with the year of their birth;
b) That they do not necessarily have to declare the year that was annotated for the head of household as year of migration for the whole family;
c) That the person for whom the box always is registered not have declared a place of birth other than the locality of enumeration;
d) That if the person be a foreigner, nationalized or not, the year of their establishment or settlement in the country should be annotated.
148 - On the other hand, it is possible:
a) That within the same district of birth a person has emigrated from the place of birth to the place where they are enumerated, in which case the year of their migration should be annotated;
b) That older persons or elderly, residents of a place for many years, emigrated to the place when they were very young and that they are totally ignorant as to the area from which they came. It is even possible that the year of their migration coincides with the year of their birth. The year of migration should be annotated as exactly as possible.
149 - Whenever the year of migration is registered in item 7, the registration of the complementary information should continue in item 8. If the information in Item 7 were registered in the boxes corresponding to always or in transit, the investigation of the topic migration is finished, and the investigation should pass on directly to the items about "educational characteristics." In this last case, a diagonal line should be drawn over the space reserved for the registration of the information in item 8.
Persons who migrated
1900
1900 or earlier
1901
1901
1902
1902
1903
1903
1904
1904
1905
1905
1906
1906
1907
1907
1908
1908
1909
1909
1910
1910
1911
1911
1912
1912
1913
1913
1914
1914
1915
1915
1916
1916
1917
1917
1918
1918
1919
1919
1920
1920
1921
1921
1922
1922
1923
1923
1924
1924
1925
1925
1926
1926
1927
1927
1928
1928
1929
1929
1930
1930
1931
1931
1932
1932
1933
1933
1934
1934
1935
1935
1936
1936
1937
1937
1938
1938
1939
1939
1940
1940
1941
1941
1942
1942
1943
1943
1944
1944
1945
1945
1946
1946
1947
1947
1948
1948
1949
1949
1950
1950
1951
1951
1952
1952
1953
1953
1954
1954
1955
1955
1956
1956
1957
1957
1958
1958
1959
1959
1960
1960
1961
1961
1962
1962
9998
Unknown
9999
NIU (not in universe)
This variable indicates the person's year of migration to the place of current residence.
Migration Variables -- PERSON
IPUMS
Status of non-migrants
Status of non-migrants
Status of non-migrants
Status of non-migrants
Status of non-migrants
General characteristics
For individuals of all ages
7. Migration:
Write the year in which the person came to reside in the place of enumeration. In other cases, whether the person has "always" lived in the place or is "in transit," mark the appropriate box.
____ Year
[] 1 Always
[] 2 In transit
Item VII: Migration
139 - Annotate the year in which the person came to live or reside in the place where they are enumerated.
140 - Place of enumeration means the locality or location, such as: city, town, estate, village, etc., of any population size, where the dwelling of the enumerator is found.
141 - Live or reside in the place of enumeration means: establishment in the place for reasons of work, business, family life, or for any other socio-economic reason, for a period of time of six months or more, or for a lesser period, if the person has come to settle in the place.
142 - A person should not be considered a resident of the place of enumeration if their residence is for purposes of vacation, visits to family, a study trip, or for a similar cause, for less than six months.
143 - If a person has changed their dwelling from one quarter or zone [parroquia] to another within the same city or town, this should not be considered a change of residence for the purposes of this question.
144 - According to these definitions, if the person always lived in the place of enumeration, annotate the box corresponding to the word always with an (x). Otherwise, annotate the year in which they established their residence in the place of enumeration. If the person does not remember exactly the year in which they established their residence in the place of enumeration, annotate the year which appears most probable to this person.
145 - In the case of the enumerated who is in the place of enumeration on vacation or on a study or family visit, or who is in the place for some similar reason for less than six months, but without settling in the place, make an (x) in the box corresponding to the words in transit.
146 - In the case of a person who has returned to the place of enumeration, after having resided in another place/other places, as long as the absence from the place has been for more than six months, annotate the year of their last arrival to the place. If the absence were for less than six months, even if it were to go and settle in another place, or if it were for purposes of vacation, a study visit, etc., such absence should not be considered. An (x) should be marked in the box corresponding to always.
[pg. 21]
147 - It is important that, when registering the information pertinent to this item, the enumerator previously verify:
a) That the informant does not confuse the year of migration to the place of enumeration with the year of their birth;
b) That they do not necessarily have to declare the year that was annotated for the head of household as year of migration for the whole family;
c) That the person for whom the box always is registered not have declared a place of birth other than the locality of enumeration;
d) That if the person be a foreigner, nationalized or not, the year of their establishment or settlement in the country should be annotated.
148 - On the other hand, it is possible:
a) That within the same district of birth a person has emigrated from the place of birth to the place where they are enumerated, in which case the year of their migration should be annotated;
b) That older persons or elderly, residents of a place for many years, emigrated to the place when they were very young and that they are totally ignorant as to the area from which they came. It is even possible that the year of their migration coincides with the year of their birth. The year of migration should be annotated as exactly as possible.
149 - Whenever the year of migration is registered in item 7, the registration of the complementary information should continue in item 8. If the information in Item 7 were registered in the boxes corresponding to always or in transit, the investigation of the topic migration is finished, and the investigation should pass on directly to the items about "educational characteristics." In this last case, a diagonal line should be drawn over the space reserved for the registration of the information in item 8.
Persons who did not migrate
1
Always lived in the place
2
In transit
8
Unknown
9
NIU (not in universe)
This variable indicates whether persons who did not migrate lived always in the sample place or are in transit.
Migration Variables -- PERSON
IPUMS
Department of previous residence
Department of previous residence
Department of previous residence
Department of previous residence
Department of previous residence
General characteristics
For individuals of all ages
8. Place of origin of migration:
Write the name of the district or country (foreigners) of origin and mark the box corresponding to the type of locality.
____ District or country
[] 1 City, town
[] 2 Other
Item VIII: Place of origin of migration
150 - Annotate the name of the District of origin of the person who declared the year (Item 7) in which they established themselves in the place of enumeration.
151 - Immediately after annotating the name of the district, annotate if the person who emigrated came from an urban area or a rural area. A person is considered to have come from an urban area if they came from a city or town. They are considered to have emigrated from a rural area if they came from an estate, small village [paraje], post [puesto], hamlet, etc., located in any colony or company.
152 - In the first case (emigrated from an urban area) mark box 1; and, in the second case (emigrated from a rural area) mark box 2.
153 - If the person is a foreigner, simply annotate the name of country of origin and nothing more.
154 - If the person, particularly in the case of a national [i.e. citizen], is absolutely ignorant of the name of their district of origin, annotate "unknown."
Persons who migrated
Asunción
1
Concepción
2
San Pedro
3
Cordillera
4
Guairá
5
Caaguazú
6
Caazapá
7
Itapúa
8
Misiones
9
Paraguarí
10
Alto Paraná
11
Central
12
Ñeembucú
13
Amambay
14
Presidente Hayes
15
Boquerón
16
Olimpo
90
Foreign country
998
Unknown
999
NIU (not in universe)
This variable identifies the person's department or country of previous residence. Department is the largest-scale geographic identifier available in the Paraguay samples.
Migration Variables -- PERSON
IPUMS
Urban or rural previous residence
Urban or rural previous residence
Urban or rural previous residence
Urban or rural previous residence
Urban or rural previous residence
General characteristics
For individuals of all ages
8. Place of origin of migration:
Write the name of the district or country (foreigners) of origin and mark the box corresponding to the type of locality.
____ District or country
[] 1 City, town
[] 2 Other
Item VIII: Place of origin of migration
150 - Annotate the name of the District of origin of the person who declared the year (Item 7) in which they established themselves in the place of enumeration.
151 - Immediately after annotating the name of the district, annotate if the person who emigrated came from an urban area or a rural area. A person is considered to have come from an urban area if they came from a city or town. They are considered to have emigrated from a rural area if they came from an estate, small village [paraje], post [puesto], hamlet, etc., located in any colony or company.
152 - In the first case (emigrated from an urban area) mark box 1; and, in the second case (emigrated from a rural area) mark box 2.
153 - If the person is a foreigner, simply annotate the name of country of origin and nothing more.
154 - If the person, particularly in the case of a national [i.e. citizen], is absolutely ignorant of the name of their district of origin, annotate "unknown."
Persons who migrated
1
Urban
2
Rural
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person previously resided in an urban or rural area.
Migration Variables -- PERSON
IPUMS
Language spoken in the household
Language spoken in the household
Language spoken in the household
Language spoken in the household
Language spoken in the household
General characteristics
For individuals of all ages
9. Language:
Mark the box corresponding to the language habitually spoken in the household. For those who habitually speak Guaraní ([] 1) or a foreign language ([] 4), note as well whether the person is able to speak Spanish.
[] 1 Only Guaraní
[] 2 Only Spanish
[] 3 Spanish and Guaraní
[] 4 Foreign language ____
Speaks Spanish?
[For persons in households where Spanish is not the habitual language]
[] 1 Yes
[] 2 No
Item IX: Language
155 - Annotate the name of the language that the person habitually speaks in the household in their daily interaction with their relatives [parientes o relacionados].
156 - In the particular case where a person speaks only the language Guarani or a foreign language (English, French, German, Italian, etc.) in the household; annotate if, besides this, the person has an understanding of the Spanish language. Mark: yes or no, according to the case.
Persons age 3+
1
Only Guaraní
2
Only Spanish
3
Spanish and Guaraní
4
Only a foreign language
8
Unknown
9
NIU (not in universe)
This variable indicates the language spoken in the household.
Ethnicity and Language Variables -- PERSON
IPUMS
Speaks Spanish
Speaks Spanish
Speaks Spanish
Speaks Spanish
Speaks Spanish
General characteristics
For individuals of all ages
9. Language:
Mark the box corresponding to the language habitually spoken in the household. For those who habitually speak Guaraní ([] 1) or a foreign language ([] 4), note as well whether the person is able to speak Spanish.
[] 1 Only Guaraní
[] 2 Only Spanish
[] 3 Spanish and Guaraní
[] 4 Foreign language ____
Speaks Spanish?
[For persons in households where Spanish is not the habitual language]
[] 1 Yes
[] 2 No
Item IX: Language
155 - Annotate the name of the language that the person habitually speaks in the household in their daily interaction with their relatives [parientes o relacionados].
156 - In the particular case where a person speaks only the language Guarani or a foreign language (English, French, German, Italian, etc.) in the household; annotate if, besides this, the person has an understanding of the Spanish language. Mark: yes or no, according to the case.
Persons in households where Spanish is not the habitual language
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person speaks Spanish.
Ethnicity and Language Variables -- PERSON
IPUMS
Religion
Religion
Religion
Religion
Religion
General characteristics
For individuals of all ages
10. Religion.
Mark the appropriate box.
[] 1 Catholic
[] 2 Christian (non-Catholic)
[] 3 Other religion
[] 4 None
Item X: Religion
157 - Annotate the religion that the enumerated person professes to be from, in the corresponding box.
158 - Christian (non-Catholic), is understood as Methodist, Baptist, Evangelist, and the rest of the denominations used by the religious groups commonly known as Protestants.
159 - Under the heading "Other Religion," annotate non-Christian persons, such as Buddhists, Shintoists, Muslims, etc.
All persons
1
Catholic
2
Christian not Catholic
3
Other
4
None
9
Unknown
This variable indicates the person's religion.
Ethnicity and Language Variables -- PERSON
IPUMS
Currently attending school
Currently attending school
Currently attending school
Currently attending school
Currently attending school
Educational characteristics
For persons 7 years of age and older
11. Currently attending school:
Note whether the person is currently attending an institution of regular schooling, whether public or private.
[] 1 Attending
[] 2 Not attending
Educational characteristics
Item XI: School attendance
160 - Annotate in the corresponding box if the enumerated person, from the age of seven and up, does or does not attend, on the date of the census, an institute of regular education of the country.
161 - Regular education means the education imparted in public or private establishments, within the educational plans or programs officially approved in the country.
Persons age 7+
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person is currently attending school.
Education Variables -- PERSON
IPUMS
Reason for not attending school
Reason for not attending school
Reason for not attending school
Reason for not attending school
Reason for not attending school
Educational characteristics
For persons 7 years of age and older
12. Reasons for not attending school:
Mark the appropriate box (only for those between the ages of 7 and 14 years.)
[] 1 There is no school
[] 2 There are no higher grades
[] 3 Works
[] 4 Without economic resources
[] 5 Chronic illness
[] 6 Other reasons
Educational characteristics
Item XII: Reasons for not attending school
162 - Take note that this topic of census investigation is exclusively restricted to minors, of both sexes, including those of seven to fourteen years of age.
163 - Before proceeding to register the information in the corresponding box, verify the age that has been registered for the person, found on question number 4: age in years completed. For those older than fourteen years of age, draw a diagonal line in the space reserved for this answer.
Persons age 7 to 14 not attending school
1
There is no school
2
There are no higher grades
3
Work
4
Without financial resources
5
Chronic illness
6
Other reasons
8
Unknown
9
NIU (not in universe)
This variable indicates the person's reason for not attending school.
Education Variables -- PERSON
IPUMS
Educational attainment
Educational attainment
Educational attainment
Educational attainment
Educational attainment
Educational characteristics
For persons 7 years of age and older
13. Educational level:
Note by number the last year completed by the person, on the dotted line corresponding to the level of instruction received (primary, basic, etc.) For those without any schooling, write 0 (zero).
____ [] 0 No schooling
____ [] 1 Primary
____ [] 2 Basic
____ [] 3 High school
____ [] 4 Teacher training
____ [] 5 Commercial
____ [] 6 University
____ [] 7 Other
Educational characteristics
Item XIII: Education level
164 - Annotate (with a number) the last year of studies attained by the person on the dotted line corresponding to the type of instruction that they have received in a regular education establishment.
165 - On the Census form there have been six levels of instruction specifically considered, plus an additional level under the heading: "other;" whose particular cases should be appropriately studied in the process of revision of information, after the enumeration.
166 - The aforementioned levels of information are the following: Primary education, which is imparted in Primary Schools, daytime or nighttime and Agricultural Schools; Basic, in the national schools and lyceums; in the Secondary/High schools, Military School, metropolitan and regional Seminaries, and Military Lyceum; Teacher Training, in the National schools for Teachers and Regional schools; Commercial, in the Schools of Commerce; University, in the Schools of Law, Medicine, Economic Sciences, Philosophy and Letters, Architecture, Physical Sciences and Math, Chemistry and Pharmacology, Dentistry, Veterinary, and Agronomics.
167 - Education that does not exactly correspond to any of the previous levels is considered under the heading "other," particularly studies in bachelors/high school graduates or University.
168 - Among these, for example, is the education dictated in the Professional Training Schools for women: dieticians, midwives, nurses, social services, fine arts, and music. For males, vocational schools, or technical schools.
[pg. 23]
169 - The numbers 0 (zero) through 6 are printed immediately after the specific name of each level of instruction, corresponding to the code by which each level is differentiated. The number corresponding to the years of study attained, within the respective level of instruction, should be annotated on the dotted line immediately after this code. Thus, for example, for a person who attained the fourth year if Primary, the annotation on the form would read: Primary 1 x 4; if they attained the Third year of Basic, it would read: Basic 2 x 3; if they attained the Second year of Teacher Training, it would read: Teacher Training 4 x 2, and so on, depending on the case.
170 - For the registration of the information under the heading "other," one should proceed in the same way as for the cases indicated in paragraphs 167 and 168. For example, for a Nurse who attained the first year of study, under the heading "other" write: Nurse 1. And so on depending on the case.
171 - For a person who never attained a single year of school annotate a 0 (zero) after the code corresponding to the heading "No education," so that the annotation reads: No education 0 x 0.
172 - If the person remembers the level of education attained but not the last year attained, annotate an "X" on the dotted line corresponding to the last level of instruction. For example: Primary 1 x
173 - If the person does not remember the level of instruction or the year of study attained, but, being literate, is sure that they attained some year of regular study, annotate a double (XX) on the line corresponding to the heading "Other." For example: Other XX.
Persons age 7+
No education
11
Primary, grade 1
12
Primary, grade 2
13
Primary, grade 3
14
Primary, grade 4
15
Primary, grade 5
16
Primary, grade 6 or more
21
Basic (Middle), grade 1
22
Basic (Middle), grade 2
23
Basic (Middle), grade 3 or more
31
Secondary, grade 1
32
Secondary, grade 2
33
Secondary, grade 3
34
Secondary, grade 4
35
Secondary, grade 5
36
Secondary, grade 6
41
Superior/teacher-training, year 1
42
Superior/teacher-training, year 2
43
Superior/teacher-training, year 3
44
Superior/teacher-training, year 4
45
Superior/teacher-training, year 5
46
Superior/teacher-training, year 6
47
Superior/teacher-training, year 7 or more
51
Commercial/vocational, year 1
52
Commercial/vocational, year 2
53
Commercial/vocational, year 3
54
Commercial/vocational, year 4
55
Commercial/vocational, year 5
56
Commercial/vocational, year 6
61
University, year 1
62
University, year 2
63
University, year 3
64
University, year 4
65
University, year 5
66
University, year 6 or more
71
Other, year 1
72
Other, year 2
73
Other, year 3
74
Other, year 4 or more
98
Unknown
99
NIU (not in universe)
This variable indicates the person's educational attainment.
Education Variables -- PERSON
IPUMS
Literacy (reads and writes)
Literacy (reads and writes)
Literacy (reads and writes)
Literacy (reads and writes)
Literacy (reads and writes)
Educational characteristics
For persons 7 years of age and older
14. Literacy:
Mark the appropriate box according to whether the person is able to read and write.
[] 1 Yes
[] 2 No
Educational characteristics
Item XIV: Literacy
174 - Find out if the person knows how to read and write and make an (x) in the corresponding box under yes or no, depending on the case. If the person only knows how to read, or can only sign, in either case an (x) should be annotated in the box corresponding to: no.
Persons age 7+
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person is literate (reads and writes).
Education Variables -- PERSON
IPUMS
Employment status
Employment status
Employment status
Employment status
Employment status
Occupational (economic) characteristics
For persons 12 years of age and older
15. Type of activity:
Mark only one of the boxes as appropriate. Employed: one who on the "Census Day" has a job. Unemployed: one who, having worked before, is without a job and looking for one. Looking for work for the first time: one who has never worked before and is looking for a job. Domestic duties and student: those who spend their time exclusively on care of the household or studies. Retired and pensioners: those who receive a monthly sum from the state, for retirement or pension. Rentier: one who, without working, lives off assets. Other: those not included in any of the above groups.
[] 1 Employed
[] 2 Unemployed
[] 3 Looking for work for the first time
[] 4 Domestic duties
[] 5 Student
[] 6 Retired or pensioner
[] 7 Rentier
[] 8 Other
Occupational characteristics
Observations
175 - The four topics designated Items 15 to 18 are included under the general title "Occupational characteristics." By way of the information collected, the whole population of the country will, first of all, be grouped under two large primary groups:
a) The economically active population, and
b) The economically non-active population.
Each of these two large groups will be, at the same time, differentiated into sub-groups, all and each of which are specified under item 15.
176 - The occupation of the enumerated is then investigated (Item 16). When a person has more than one occupation, the one considered is the occupation which provides the greatest amount of income. If a person only has one job, this will be the occupation considered.
177 - Then, under the denomination of industry (branch of economic activity), the type of industry or place of work where the occupation is carried out is investigated (Item 17), and the category or title with which they carried it out, be it as an employee, laborer, etc., (Item 18).
178 - To obtain a rational and appropriate grouping of the information, numerous individual situation should be considered; those that have been adjusted to definitions refined by economics, sociologists, and demographers. These definitions, and the methodological procedure of the registration of the data, are structured in such as was as to reflect the occupational situation of the enumerated on the "Census day."
[pg. 24]
These definitions, and the methodological procedures of the registration of the data, are structured in such a way that they reflect the occupational situation of the enumerated on the "Census day."
179 - The information solicited for the topics designated in Items 15 thru 18 are intimately correlated. This means that once the basic, initial information has been registered in Item 15, no information should be annotated in Items 16 thru 18 without first of all clarifying whether or not it follows the information registered in the Item immediately preceding it. Thus, information should always be registered in Item 15, but should conditionally be registered in items 16 thru 18, depending on situation of the persons being enumerated.
Item XV: Type of activity
180 - The type of occupational activity or situation of the persons on the "census day" will be annotated under this item, distinguishing the different situations by way of the denominations and definitions that are indicated for the different groups.
181 - Only one of the boxes on the form should be annotated for each person enumerated, above twelve years of age.
The following specifies, in detail, the type of people that are included in each group:
Employed:
182 Includes all persons who are employed on the "Census day" - that is to say, that have jobs. The following classes can be distinguished:
a) Persons who work for someone who is not a family members, receiving a monetary pay (salary, commission, etc.) or material goods (house, food, etc.), for the work that they do, of any type;
b) Persons who work on a farm plot [chacra], estate, commerce, or industry, or carry out a profession, be it by themselves or with the help of one or more persons, to whom they pay a wage or salary;
c) Persons who work for another family member on a farm ["estancia"], store, workshop, office, etc., with or without pay. In this last case - those who work for a member of a family without receiving pay - they are considered employed as long they work at least three hours a day, or the equivalent of two eight-hour days of work, per week.
183 - Also included in this group (employed) are those people who are not found, on the "Census day," to be exercising their occupation for reasons of sickness, vacation, strike, or temporary job interruption, or any other type of reason that does not signify a permanent retirement by the person.
Unemployed:
184 - Includes all the persons who, on the "Census day," do not have a job or paid work, but who have worked before and are seeking work. Those persons who are not looking for work because they have obtained a job that they will start after the date of the "Census day" should also be included in this group.
Seeking work for the first time
185 - Includes all persons who have never worked, and who are seeking their first employment.
Domestic duties
186 - Includes persons who dedicate themselves exclusively to domestic duties in their own household. When this labor is done for pay (as a salary or in material goods), such as is the case for domestic servants, the respective person will be annotated as "occupied."
Student
187 - Includes all persons who dedicate themselves exclusively to studying.
188 - If a person dedicated to "Domestic Duties," or a "Student" carry's out a paid occupation, on the date of the census, they are automatically considered to be an "employed" person.
Retired or Pensioner
189 - Includes all those persons who do not carry out a paid occupation and who receive a monthly sum from the State for retirement or for pension. Therefore, widows and other persons who receive pensions, including non-contributory pensions [pensiones graciables], fall into this group.
Rentier
190 - Includes persons who do not carry out a paid activity and who live from the product of their assets.
Other
191 - Includes all those persons who do not carry out a paid activity because of physical or mental incapacity (invalids), shut-ins [vida de clausura], or judicial order (prisoners). This also includes all persons who cannot classify themselves within any of the preceding groups, such as minors who do not attend school, and elderly persons without economic recourses, etc. If the incapacity is temporary, the person should be classified as "employed," as long as their employment is in some way assured.
192 - Once a person is classified under this item, continue with the annotation pertinent to the following item, number 16, only for those who have been placed into one of the groups: "employed," "unemployed," and "seeking work for the first time." For persons classified under any of the other groups ("domestic duties," "student," "retired or pensioner," "rentier," and "other") the census investigation is finished, and the spaces reserved for the registration of the information solicited in Items 16 thru 18 should be crossed out with a diagonal line.
Persons age 12+
1
Employed
2
Unemployed
3
Looked for work for the first time
4
Household duties
5
Student
6
Retired
7
Rentier
8
Other
98
Unknown
99
NIU (not in universe)
This variable indicates the person's employment status.
Work Variables -- PERSON
IPUMS
Occupation (1-digit)
Occupation (1-digit)
Occupation (1-digit)
Occupation (1-digit)
Occupation (1-digit)
Occupational (economic) characteristics
For persons 12 years of age and older
16. Occupation: ____
Only for those who are employed, unemployed or looking for work for the first time. If an employed person has more than one occupation, write the one which produces the most income. For the unemployed, write the most recent occupation. For one looking for work for the first time, write the profession or position if there is one, or else write "none." Examples of occupation: lawyer, carpenter, bricklayer, paymaster, tractor driver, etc.
Item XVI: Occupation
193 - Specifically annotate the profession, office, or class of work that they carry out on the census day, but only for the persons classified in the preceding item (item 15) under one of the three groups: "employed," "unemployed," and "seeking work for the first time."
[pg. 26]
194 - Avoid vague designations, such as: laborer, operator, office worker, vendor, etc.; employ, rather, designation that give the most complete idea possible of the person's occupation, for example: agronomical engineer, movie operator, fruit vendor, travel agent, shoemaker's apprentice, etc.
195 - There are some occupations of laborers, artisans, and professionals for whom their simple denominations precisely define their occupations, such as: carpenters, masons, plumber, medic, lawyer, etc.
196 - On the other hand, certain occupations in the commercial field require specification, such as sales agent, etc. Similarly, in the case of the office workers, clarify if they are typist, cashier, treasurer, bookkeeper, archivist, etc.
197 - In the case of professionals, such as medics, lawyer, engineers, etc., this is the type of occupation that, in general, should be registered. Cases do exist, however, in which such persons do not carry out the given professions, dedicating themselves to other activities. For example, a lawyer who works exclusively in the management of a Bank; a medic who dedicates him or her self exclusively to teaching in a university. In these cases, the last activity mentioned will be annotated, such as: bank manager, or university professor, and the like, depending on the case.
198 - For the government employees, annotate, in like manner, their specific occupations in accordance with the examples given in the preceding cases, avoiding the designation of "public employee." If the person is a member of the "armed forces" (not including police), no matter what their class or position, they should be annotated as "military personnel."
199 - With respect to the domestic servants, it should be specified whether or not this is a case of, for example, cook, clothes-washer, babysitter, cleaner, etc. In the same way, in the case of those who work in agricultural fields, the term "farmer" should be reserved for those who direct a farm of which they are the owners, or "foreman" or "administrator" when they are not owners of the farm which they direct. "Agriculturist" would be a person who directs the workings of a farm plot [chacra].
For those who work in specific activities (milkers, herdsman, animal trainers/breakers, tractor drivers, peons, etc.) annotate their specific occupation.
200 - In the case of "unemployed" persons, annotate the last employment they carried out.
201 - For the persons who are "seeking work for the first time," register the profession, office, or type of work which they are capable or have permission to do [clasificadas], and in a case where they are not capable nor have permission for any, simply register: "none." Having made the annotation of the occupation, according to the case, the census investigation is over for this group of persons. Therefore, draw a diagonal line over the area corresponding to the information pertaining to the following Items (Items 17 and 18).
Persons age 12+ economically active
Professionals, technicians and persons in similar occupations
1
Managers, administrators, and officials in directive positions
2
Office employees and persons in similar occupations
3
Salesmen and persons in similar occupations
4
Farmers, ranchers, fishermen, hunters, forestry workers, and persons in similar occupations
5
Miners, quarry workers, and persons in similar occupations
6
Transportation conductors and persons in similar occupations
7
Artisans and operators in occupations related to weaving and sewing clothing and footwear, carpentry, construction industry, mechanics, and graphic arts
8
Other artisans and operators
9
Workers and day laborers not listed elsewhere
10
Workers in personal services and in similar occupations
11
Other workers not listed elsewhere and workers in occupations not identified or not declared
98
Unknown
99
NIU (not in universe)
This variable indicates the person's occupation (general).
Work: Occupation Variables -- PERSON
IPUMS
Occupation
Occupation
Occupation
Occupation
Occupation
Occupational (economic) characteristics
For persons 12 years of age and older
16. Occupation: ____
Only for those who are employed, unemployed or looking for work for the first time. If an employed person has more than one occupation, write the one which produces the most income. For the unemployed, write the most recent occupation. For one looking for work for the first time, write the profession or position if there is one, or else write "none." Examples of occupation: lawyer, carpenter, bricklayer, paymaster, tractor driver, etc.
Item XVI: Occupation
193 - Specifically annotate the profession, office, or class of work that they carry out on the census day, but only for the persons classified in the preceding item (item 15) under one of the three groups: "employed," "unemployed," and "seeking work for the first time."
[pg. 26]
194 - Avoid vague designations, such as: laborer, operator, office worker, vendor, etc.; employ, rather, designation that give the most complete idea possible of the person's occupation, for example: agronomical engineer, movie operator, fruit vendor, travel agent, shoemaker's apprentice, etc.
195 - There are some occupations of laborers, artisans, and professionals for whom their simple denominations precisely define their occupations, such as: carpenters, masons, plumber, medic, lawyer, etc.
196 - On the other hand, certain occupations in the commercial field require specification, such as sales agent, etc. Similarly, in the case of the office workers, clarify if they are typist, cashier, treasurer, bookkeeper, archivist, etc.
197 - In the case of professionals, such as medics, lawyer, engineers, etc., this is the type of occupation that, in general, should be registered. Cases do exist, however, in which such persons do not carry out the given professions, dedicating themselves to other activities. For example, a lawyer who works exclusively in the management of a Bank; a medic who dedicates him or her self exclusively to teaching in a university. In these cases, the last activity mentioned will be annotated, such as: bank manager, or university professor, and the like, depending on the case.
198 - For the government employees, annotate, in like manner, their specific occupations in accordance with the examples given in the preceding cases, avoiding the designation of "public employee." If the person is a member of the "armed forces" (not including police), no matter what their class or position, they should be annotated as "military personnel."
199 - With respect to the domestic servants, it should be specified whether or not this is a case of, for example, cook, clothes-washer, babysitter, cleaner, etc. In the same way, in the case of those who work in agricultural fields, the term "farmer" should be reserved for those who direct a farm of which they are the owners, or "foreman" or "administrator" when they are not owners of the farm which they direct. "Agriculturist" would be a person who directs the workings of a farm plot [chacra].
For those who work in specific activities (milkers, herdsman, animal trainers/breakers, tractor drivers, peons, etc.) annotate their specific occupation.
200 - In the case of "unemployed" persons, annotate the last employment they carried out.
201 - For the persons who are "seeking work for the first time," register the profession, office, or type of work which they are capable or have permission to do [clasificadas], and in a case where they are not capable nor have permission for any, simply register: "none." Having made the annotation of the occupation, according to the case, the census investigation is over for this group of persons. Therefore, draw a diagonal line over the area corresponding to the information pertaining to the following Items (Items 17 and 18).
Persons age 12+ economically active
Architects, engineers, and persons in similar occupations
1
Chemists, pharmacists, and persons in similar occupations
2
Agronomists, veterinarians, and persons in similar occupations
3
Doctors, surgeons, and dentists
5
Nurses and midwives
6
Professors and teachers
8
Lawyers, judges and persons in similar occupations
9
Artists, writers, entertainers, and persons in similar occupations
10
Persons in religious occupations and occupations related to social welfare
11
Person in other occupations similar to professional and technicians
100
Directive employees in public administration
101
Directors and managers in wholesale and retail commerce
102
Other directors, managers and owner-administrators
109
Managers, administrators, and officials in directive positions, unknown occupation
200
Accountants and accounting assistants
201
Bookkeepers, cashiers, accounts collectors, and persons in similar occupations
202
Typists and shorthand takers
205
Mailmen and messengers
206
Telephone operators, telegraph operators, and other telecommunications operators
207
Other office workers and persons in similar occupations in transportation and communications services
208
Other office workers and persons in similar occupations
300
Salesmen-owners in wholesale and retail commerce
301
Store employees and door-to-door [traveling] salesmen
302
Business travelers, representatives, and commission salesmen in wholesale commerce
303
Other salesmen and persons in similar occupations
400
Farmers, ranchers, and administrators in agricultural enterprises
401
Farmer workers and gardeners
402
Fishermen and persons in similar occupations
404
Forestry workers, cork workers and persons in similar occupations
503
Quarry workers and persons in other occupations of extracting other solid non-metallic minerals
600
Drivers, truck drivers, car drivers and other vehicles drivers
603
Sailors, ship hands and boaters in maritime and fluvial transportation
609
Persons in other occupations related to transportation conducting
700
Spinners (bobbin winders), weavers, dyers and persons in related occupations
701
Tailors, seamstresses, tanners and persons in similar occupations related to the production of products made of textiles and leather goods for clothing
702
Shoemakers, shoe repairmen, and person in occupations related to the production of leather goods
703
Carpenters, cabinetmakers, barrel makers and persons in similar occupations
704
Constructions workers, bricklayers, window installers and persons in similar occupations
705
Painters and wallpaper installers
706
Pipe fitters, pipe installers, riveters, and iron structure installers
707
Electricians, electrical cable installers, radio and television repairmen and persons in similar occupations
708
Machinery and vehicle mechanics, tool machinery operators and persons in similar occupations
709
Precision machinery mechanics, watchmakers, jewelers and persons in similar occupations
710
Operators of stationery machinery, excavation and elevating machinery and persons in similar occupations
711
Typesetters, printers, lithographers, recorders, binders and persons in similar occupations
800
Foundry workers, laminators, blacksmiths, forge workers and other persons in related occupations
801
Fired ceramic makers, molders, glassblowers and other workers in ceramic, glass, and stone products
802
Chemical cooks, roasters, molders, distillers, and other operators of the chemical industries
803
Slaughterers, butchers, bakers, beer makers and persons in similar occupations
804
Cigarette makers and other operators in tobacco processing
805
Tanners, stretchers, skinners and other operators in tanning and leather and skin processing
807
Operators in the manufacture of machinery, electrical equipment and transportation equipment
809
Operators in the production process and similar occupations not listed elsewhere
811
Bottlers, packers, labelers and similar occupations
900
Construction workers and day laborers
901
Stackers, loaders and other transportation day laborers
902
Washers, pressers, dyers in cleaning facilities and other similar workers
903
Other workers and day laborers
1001
Workers in protection services
1002
Cooks and other servants or employees in private homes
1004
Workers in restaurants and cafes, bartenders and workers in similar occupations
1005
Cooks, housekeepers, managers of guest houses and workers in similar occupations not employed in private homes
1006
Barbers, hairdressers, beauticians, and similar workers
1007
Doormen, concierges, elevator operators in buildings and workers in similar occupations
1008
Athletes, sportsmen, and workers in similar occupations
1009
Photographers and similar workers
1010
Embalmers and funeral directors
1011
Other service workers
1100
Members of the armed forces, serving in their territory
1105
Persons who declare unidentifiable occupations
1106
Persons who do not declare any occupation
1109
Other workers not listed elsewhere and workers in occupations not identified or not declared, unknown occupation
1110
Other occupation, response suppressed for confidentiality
9998
Unknown
9999
NIU (not in universe)
This variable indicates the person's occupation (detailed).
Work: Occupation Variables -- PERSON
IPUMS
Industry (1 digit)
Industry (1 digit)
Industry (1 digit)
Industry (1 digit)
Industry (1 digit)
Occupational (economic) characteristics
For persons 12 years of age and older
17. Industry (branch of economic activity): ____
Only for those employed or unemployed. Specify the type of establishment where the person performs the declared occupation, or if unemployed, the type of establishment where last employed. Examples: textile factory, shoe store, public school, law office, estate, ranch, etc.
Item XVII: Industry (branch of economic activity)
202 - Industry means the type of business, establishment, office, organization, company, institution, etc., in which the person carries out the declared occupation.
203 - Annotate the information only for those persons for whom, in the previous Item (Item 16), an occupation was registered, and who pertain to one or the other of the groups: "employed," or "unemployed."
[pg. 27]
204 - As in the case of the occupation, try to be as concrete as possible in registering the type of establishment in which the person works or worked (in the case of "unemployed"), avoiding vague denominations. Therefore, avoid denominations such as workshop, office, store, company, factory, warehouse, etc. and instead specify in the following manner: shoe factory, radio repair shop, bookkeeper, leather storage shed, air transport company, refrigeration, construction company, textile factory, refinery, etc.
205 - Avoid annotating denominations that are based exclusively on the name of the establishment, such as "The Violeta" factory, "Fenix House," etc, and which do not give any idea about the type of industry or business carried out.
206 - In the case of mixed businesses, such as a hair cutting place in which one also has a small store or sells lottery tickets or tobacco, register the business which provides the most benefit or which the proprietor considers most important.
207 - If the person is a government employee, of an autonomous, semi-autonomous or municipal entity, annotate the proper name of the department in which they work, such as: Housing Ministry, Copacar, Apal, Municipal Bacteriological Institute, etc."
208 - If the person carries out the same occupation in more than one business or industry, the type of industry from which they receive their greatest income should be annotated. For example, in the case of a bookkeeper who keeps the books for a glass factory, a woman's clothing store, and a transport company, and receives their greatest income from the glass factory, this should be annotated as their "industry." It should be understood that this is not a case of a person who has an accountant firm and who attends a variety of clients, in the way that is done in many professions (medics, dentists, etc.).
209 - If the person carries out their occupation in a company that functions in two or more different industrial activities, the industrial activity with which the person is directly associated should be annotated, as long as this is one of the principal activities of the company, and not an accessory activity. Examples:
a) In the case of a single company that has factory for coaches, and one for furniture, the employee principle industry will be annotated as "coach factory" or "furniture factory," in accordance with the industry in which he works;
b) If a textile factory has its own electric plant that provides it with its necessary driving power, a person who works in the factory should be annotated as working principally in the industry of "textile factory," and not in "electric plant," since the latter activity is an accessory to the factory.
210 - With respect to domestic servants, their principle industry should be annotated as, "family house," or "group quarters."
Persons age 12+ employed or unemployed
Agriculture, forestry, hunting and fishing
1
Mine and quarry operations
2
Manufacturing industries
3
Manufacturing industries
4
Construction
5
Electricity, water, and sanitation services
6
Commerce
7
Transportation, warehouses, and communications
8
Services
9
Unspecified activities
98
Unknown
99
NIU (not in universe)
This variable indicates the person's industry (general).
Work: Industry Variables -- PERSON
IPUMS
Industry (2 digits)
Industry (2 digits)
Industry (2 digits)
Industry (2 digits)
Industry (2 digits)
Occupational (economic) characteristics
For persons 12 years of age and older
17. Industry (branch of economic activity): ____
Only for those employed or unemployed. Specify the type of establishment where the person performs the declared occupation, or if unemployed, the type of establishment where last employed. Examples: textile factory, shoe store, public school, law office, estate, ranch, etc.
Item XVII: Industry (branch of economic activity)
202 - Industry means the type of business, establishment, office, organization, company, institution, etc., in which the person carries out the declared occupation.
203 - Annotate the information only for those persons for whom, in the previous Item (Item 16), an occupation was registered, and who pertain to one or the other of the groups: "employed," or "unemployed."
[pg. 27]
204 - As in the case of the occupation, try to be as concrete as possible in registering the type of establishment in which the person works or worked (in the case of "unemployed"), avoiding vague denominations. Therefore, avoid denominations such as workshop, office, store, company, factory, warehouse, etc. and instead specify in the following manner: shoe factory, radio repair shop, bookkeeper, leather storage shed, air transport company, refrigeration, construction company, textile factory, refinery, etc.
205 - Avoid annotating denominations that are based exclusively on the name of the establishment, such as "The Violeta" factory, "Fenix House," etc, and which do not give any idea about the type of industry or business carried out.
206 - In the case of mixed businesses, such as a hair cutting place in which one also has a small store or sells lottery tickets or tobacco, register the business which provides the most benefit or which the proprietor considers most important.
207 - If the person is a government employee, of an autonomous, semi-autonomous or municipal entity, annotate the proper name of the department in which they work, such as: Housing Ministry, Copacar, Apal, Municipal Bacteriological Institute, etc."
208 - If the person carries out the same occupation in more than one business or industry, the type of industry from which they receive their greatest income should be annotated. For example, in the case of a bookkeeper who keeps the books for a glass factory, a woman's clothing store, and a transport company, and receives their greatest income from the glass factory, this should be annotated as their "industry." It should be understood that this is not a case of a person who has an accountant firm and who attends a variety of clients, in the way that is done in many professions (medics, dentists, etc.).
209 - If the person carries out their occupation in a company that functions in two or more different industrial activities, the industrial activity with which the person is directly associated should be annotated, as long as this is one of the principal activities of the company, and not an accessory activity. Examples:
a) In the case of a single company that has factory for coaches, and one for furniture, the employee principle industry will be annotated as "coach factory" or "furniture factory," in accordance with the industry in which he works;
b) If a textile factory has its own electric plant that provides it with its necessary driving power, a person who works in the factory should be annotated as working principally in the industry of "textile factory," and not in "electric plant," since the latter activity is an accessory to the factory.
210 - With respect to domestic servants, their principle industry should be annotated as, "family house," or "group quarters."
Persons age 12+ employed or unemployed
1
Agriculture and cattle raising
2
Forestry
4
Fishing
14
Extraction of stone, pebbles, and sand
20
Manufacturing Industries
21
Beverage Industry
22
Tobacco Industry
23
Textiles production
24
Production of footwear, clothing
25
Wood, except furniture
26
Furniture made of wood and wicker
28
Graphics industries
29
Industry of leather and leather produces, except footwear and other clothing
31
Manufacture of chemical substances and products
33
Non-metallic minerals
35
Manufacture of metal products, except machinery and transportation equipment
37
Assembly of machinery, appliances, accessories, and articles
38
Transportation materials
39
Diverse manufacturing industries
40
Construction
51
Electricity
52
Distribution of water and sanitary services
61
Wholesale and retail commerce
62
Banks and other financial institutions
63
Insurance
71
Transportation
73
Communications
81
Government services
82
Public services
83
Business and personal services
84
Recreational services
85
Personal services
90
Unspecified activities
95
Other industry, response suppressed for confidentiality
98
Unknown
99
NIU (not in universe)
This variable indicates the person's industry (detailed).
Work: Industry Variables -- PERSON
IPUMS
Industry (3 digits)
Industry (3 digits)
Industry (3 digits)
Industry (3 digits)
Industry (3 digits)
Occupational (economic) characteristics
For persons 12 years of age and older
17. Industry (branch of economic activity): ____
Only for those employed or unemployed. Specify the type of establishment where the person performs the declared occupation, or if unemployed, the type of establishment where last employed. Examples: textile factory, shoe store, public school, law office, estate, ranch, etc.
Item XVII: Industry (branch of economic activity)
202 - Industry means the type of business, establishment, office, organization, company, institution, etc., in which the person carries out the declared occupation.
203 - Annotate the information only for those persons for whom, in the previous Item (Item 16), an occupation was registered, and who pertain to one or the other of the groups: "employed," or "unemployed."
[pg. 27]
204 - As in the case of the occupation, try to be as concrete as possible in registering the type of establishment in which the person works or worked (in the case of "unemployed"), avoiding vague denominations. Therefore, avoid denominations such as workshop, office, store, company, factory, warehouse, etc. and instead specify in the following manner: shoe factory, radio repair shop, bookkeeper, leather storage shed, air transport company, refrigeration, construction company, textile factory, refinery, etc.
205 - Avoid annotating denominations that are based exclusively on the name of the establishment, such as "The Violeta" factory, "Fenix House," etc, and which do not give any idea about the type of industry or business carried out.
206 - In the case of mixed businesses, such as a hair cutting place in which one also has a small store or sells lottery tickets or tobacco, register the business which provides the most benefit or which the proprietor considers most important.
207 - If the person is a government employee, of an autonomous, semi-autonomous or municipal entity, annotate the proper name of the department in which they work, such as: Housing Ministry, Copacar, Apal, Municipal Bacteriological Institute, etc."
208 - If the person carries out the same occupation in more than one business or industry, the type of industry from which they receive their greatest income should be annotated. For example, in the case of a bookkeeper who keeps the books for a glass factory, a woman's clothing store, and a transport company, and receives their greatest income from the glass factory, this should be annotated as their "industry." It should be understood that this is not a case of a person who has an accountant firm and who attends a variety of clients, in the way that is done in many professions (medics, dentists, etc.).
209 - If the person carries out their occupation in a company that functions in two or more different industrial activities, the industrial activity with which the person is directly associated should be annotated, as long as this is one of the principal activities of the company, and not an accessory activity. Examples:
a) In the case of a single company that has factory for coaches, and one for furniture, the employee principle industry will be annotated as "coach factory" or "furniture factory," in accordance with the industry in which he works;
b) If a textile factory has its own electric plant that provides it with its necessary driving power, a person who works in the factory should be annotated as working principally in the industry of "textile factory," and not in "electric plant," since the latter activity is an accessory to the factory.
210 - With respect to domestic servants, their principle industry should be annotated as, "family house," or "group quarters."
Persons age 12+ employed or unemployed
11
Agriculture
12
Cattle raising
21
Lumber extraction
40
Fishing
140
Extraction of stone, pebbles, and sand
200
Cattle slaughtering
201
Preparation and conservation of beef and pork
203
Manufacture of milled products
206
Manufacture of bread products and pastas
207
Sugar mills and refineries
208
Manufacture of caramels, candies, and sweets
209
Food product manufacturing industries
211
Spirits and alcoholic beverages
213
Beer and ice
214
Manufacture of non-alcholic beverages and soft-drinks
221
Cigarette manufacture
222
Cigar manufacture
232
Thread manufacture and weaving
241
Manufacture and assembly of footwear
242
Manufacture of outer clothing (tailoring)
243
Shops for dressmaking, embroidery, and shirt making
244
Manufacture of hat (cloth and palm)
251
Lumber yards and plywood manufacture
252
Construction carpentry
261
Manufacture of furniture and accessories
280
Printers, editorials, and related industries
291
Tanning and finishing shops
292
Manufacture of leather goods, except footwear
314
Manufacture of soap, waxes, polishes, paints and other chemical products not listed elsewhere
316
Manufacture of tannic acid
331
Manufacture of stone products for construction
333
Manufacture of articles made of clay, ceramic, and porcelain
334
Manufacture of cement
335
Manufacture of cement and stone products
351
Sheet metal manufacturing
352
Blacksmiths, welding shops
370
Construction and repair of machinery, appliances, accessories
381
Assembly of ships and boat repair
384
Automobile and bicycle repair
391
Manufactures of jewelry and related articles
392
Manufacturing industries not classified elsewhere
399
Manufacturing not elsewhere classified
400
Construction
511
Light and electrical energy
521
Water supply
611
Wholesale commerce
612
Retail commerce
620
Banks and other financial institutions
630
Insurance
711
Railroad transportation
712
Trams, omnibuses, taxis, etc
716
Water transportation
717
Air transportation
718
Transportation services
730
Communications
810
Government services
821
Public education
822
Medical and sanitary services
824
Religious organizations
826
Commercial and professional associations, labor organizations
829
Public services not classified elsewhere
831
Juridical services
833
Technical services
839
Business services not classified elsewhere
840
Recreational services
841
Lotteries, raffles, etc.
851
Domestic services
852
Restaurants, cafes, and other establishments that serve food
854
Laundromats and laundry services; cleaning and dying
855
Barber shops and beauty parlors
856
Photographic studios and comercial photography
859
Personal services not classified elsewhere
900
Unspecified activities
950
Other industry, response suppressed for confidentiality
998
Unknown
999
NIU (not in universe)
This variable indicates the person's industry (detailed).
Work: Industry Variables -- PERSON
IPUMS
Class of worker
Class of worker
Class of worker
Class of worker
Class of worker
Occupational (economic) characteristics
For persons 12 years of age and older
18. Employment status (occupational category): ____
Only for those employed and unemployed. Mark only one box as appropriate.
Employer: one who operates his own company and pays one or more employees or workers. Own-account worker: one who operates his own company without paid employees or workers. Employee (white-collar): a salaried employee of a boss whose work is primarily intellectual. Worker (manual laborer): one employed by the day or by salary, works for a boss, and whose job consists predominantly of physical activity. Family worker: one who, paid or unpaid, works at least two days out of the week for a family member.
[] 1 Employer
[] 2 Own-account worker
[] 3 Employee
[] 4 Worker [manual laborer]
[] 5 Paid family worker
[] 6 Unpaid family worker
Title XVIII: Employment status (occupational category)
211 - The information about the employment status should be obtained based on the following definitions:
Employer
212 - A person who owns their own economic company, or who carries out, on their own, a profession or office and who has one or more workers, to whom they pay a salary or wage. This does not include individuals who only have domestic servants.
[pg. 28]
Self-employed
213 - A person who, without depending on an employer, owns their own economic company, or who carries out, on their own, a profession or office, without employing any paid workers. They can work alone or with associate(s).
Employee
214 - A person whose job mainly involves intellectual effort over physical effort, and who works for pay for a public or private boss or employer, of whose census household they are not a member.
The following are also considered employees:
a) Directors, managers, administrators, bosses, inspectors, secretaries, and all other managerial personnel of the various levels;
b) The professors, salaried professionals, and auxiliary specialists of liberal professions;
c) Desk, counter, or office employees,
d) Bill collectors, traveling salespersons, agents, company couriers, radio-technicians, operators, flight attendant and pilots.
Laborer
215 - A person who's job activity is predominantly manual, and who works for a wage or salary for a public or private foreman or employer, of whose census household they are not a member.
216 - Domestic servants, that is, those who dedicate themselves to household activities (cook, nanny, valet, servant, etc.) should be considered part of this group; these people's industry is denominated as: "family household."
217 - Laborers also include:
a) Teachers of manual labor, foremen, boatswain, apuntadores, officers [skilled workers or oficiales], semi-officers [unskilled workers or medio oficiales], apprentices, peons, changadores;
b) Drivers, machinists, fireperson [foguistas];
c) The foremen and peons of agricultural projects,
d) Deliverers, doorkeepers, packagers, waiters;
e) Hair cutters, hair stylists, manicurists, and other operators of a beauty salon.
218 - Make a mark in the corresponding box only for those persons who are classified as "employed," or "unemployed."
Persons age 12+ employed or unemployed
1
Boss/employer
2
Own-account worker
3
White collar/managerial/office worker
4
Blue collar/manual laborer
5
Paid family worker
6
Unpaid family worker
8
Unknown
9
NIU (not in universe)
This variable indicates the class of worker.
Work Variables -- PERSON
IPUMS
Children ever born
Children ever born
Children ever born
Children ever born
Children ever born
Other characteristics
For those of the age indicated.
19. Fertility:
For women 12 years of age and older.
Write the number of children born alive to each woman and the age at which she had her first child.
____ Number of children
____ Years. Age at birth of first child
Item IXX: Fertility
220 - These questions should be asked of all women ages twelve and above who have had children, no matter what the civil state was that they previously declared, including that of single.
221 - Annotate the total number of children they have had, born alive to the mothers, including in this number the children who have died before the census date, and excluding miscarriages/abortions and children born dead.
[pg. 29]
222 - If the person declares that they have not had any children, either alive or dead, annotate a zero on the respective dotted line on the Census Form.
223 - Remember that there is a tendency to forget or not declare children born alive who are no longer in the household with the mother, due to their being interned in a boarding school, or some other type of institution, or who live with other family members, as often occurs with children who were had from previous marriages or consensual unions.
224 - For this reason the enumerator should try to obtain the most precise number possible of the total number of children born alive to the mother. At the same time, the enumerator should employ the greatest prudence, ability, and discretion in asking these questions.
225 - In all cases, the fact that the enumerator suffers some rejection or irony from some families in asking these questions in reference to single women should not be a motive for them to stop asking such questions in all the households that they have to enumerate.
226 - Once the total number of children born alive to the mother has been annotate, the age, in completed years, at which the mother had her first child should also be annotate on the corresponding dotted line.
Females age 12+
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+
98
Unknown
99
NIU (not in universe)
This variable indicates the woman's children ever born.
Fertility and Mortality Variables -- PERSON
IPUMS
Age at first birth
Age at first birth
Age at first birth
Age at first birth
Age at first birth
Other characteristics
For those of the age indicated.
19. Fertility:
For women 12 years of age and older.
Write the number of children born alive to each woman and the age at which she had her first child.
____ Number of children
____ Years. Age at birth of first child
Item IXX: Fertility
220 - These questions should be asked of all women ages twelve and above who have had children, no matter what the civil state was that they previously declared, including that of single.
221 - Annotate the total number of children they have had, born alive to the mothers, including in this number the children who have died before the census date, and excluding miscarriages/abortions and children born dead.
[pg. 29]
222 - If the person declares that they have not had any children, either alive or dead, annotate a zero on the respective dotted line on the Census Form.
223 - Remember that there is a tendency to forget or not declare children born alive who are no longer in the household with the mother, due to their being interned in a boarding school, or some other type of institution, or who live with other family members, as often occurs with children who were had from previous marriages or consensual unions.
224 - For this reason the enumerator should try to obtain the most precise number possible of the total number of children born alive to the mother. At the same time, the enumerator should employ the greatest prudence, ability, and discretion in asking these questions.
225 - In all cases, the fact that the enumerator suffers some rejection or irony from some families in asking these questions in reference to single women should not be a motive for them to stop asking such questions in all the households that they have to enumerate.
226 - Once the total number of children born alive to the mother has been annotate, the age, in completed years, at which the mother had her first child should also be annotate on the corresponding dotted line.
Females age 12+ who ever had children
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 or older
98
Unknown
99
NIU (not in universe)
This variable indicates the woman's age at first birth.
Other Person Variables -- PERSON
IPUMS
Physical disability
Physical disability
Physical disability
Physical disability
Physical disability
Other characteristics
For those of the age indicated.
20. Permanent physical disabilities:
(For those affected, of any age.) Mark the box as appropriate.
[] 1 Blind
[] 2 Deaf
[] 3 Deaf-mute
Item XX: Permanent physical disabilities
227 - Annotate the permanent physical impediment(s) of the affected person (of any age) by marking an (x) in the corresponding box.
Disabled persons
1
Blind
2
Deaf
3
Deaf-mute
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person has a physical disability.
Disability Variables -- PERSON
IPUMS
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
Technical Person 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
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
Sex
Sex
Sex
Sex
Sex
1
Male
2
Female
9
Unknown
SEX reports the sex (gender) of the respondent.
Demographic Variables -- PERSON
IPUMS
Marital status [general version]
Marital status [general version]
Marital status [general version]
Marital status [general version]
Marital status [general version]
NIU (not in universe)
1
Single/never married
2
Married/in union
3
Separated/divorced/spouse absent
4
Widowed
9
Unknown/missing
[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
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
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
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
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
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
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
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
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
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
Blind or vision-impaired
Blind or vision-impaired
Blind or vision-impaired
Blind or vision-impaired
Blind or vision-impaired
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISBLND indicates whether the person was blind or had limited vision.
Disability Variables -- PERSON
IPUMS
Deaf or hearing-impaired
Deaf or hearing-impaired
Deaf or hearing-impaired
Deaf or hearing-impaired
Deaf or hearing-impaired
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISDEAF indicates whether the person was deaf or had limited hearing.
Disability Variables -- PERSON
IPUMS
Mute or speech impaired
Mute or speech impaired
Mute or speech impaired
Mute or speech impaired
Mute or speech impaired
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISMUTE indicates if the person could not speak or had a significant speech impediment.
Disability Variables -- PERSON
IPUMS
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
Migration status, previous residence
Migration status, previous residence
Migration status, previous residence
Migration status, previous residence
Migration status, previous residence
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
98
Response suppressed
99
Not reported/missing
MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries.
Migration 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
Educational attainment, Paraguay
Educational attainment, Paraguay
Educational attainment, Paraguay
Educational attainment, Paraguay
Educational attainment, Paraguay
NIU (not in universe)
10
No education
20
Preschool
30
Special education
41
Basic adult education, year 1
42
Basic adult education, year 2
43
Basic adult education, year 3
51
Primary, grade 1
52
Primary, grade 2
53
Primary, grade 3
54
Primary, grade 4
55
Primary, grade 5
56
Primary, grade 6
57
Primary, grade 7 (new system)
58
Primary, grade 8 (new system)
59
Primary, grade 9 (new system)
60
Primary, grade unknown
71
Basic (Middle), grade 1
72
Basic (Middle), grade 2
73
Basic (Middle), grade 3
74
Basic (Middle), grade unknown
81
General or academic secondary, grade 4
82
General or academic secondary, grade 5
83
General or academic secondary, grade 6
84
General or academic secondary, grade unknown
91
Commercial/vocational, year 1
92
Commercial/vocational, year 2
93
Commercial/vocational, year 3
94
Commercial/vocational, year 4
95
Commercial/vocational, year 5
96
Commercial/vocational, year 6
97
Commercial/vocational, year unknown
101
Teacher training, year 1
102
Teacher training, year 2
103
Teacher training, year 3
104
Teacher training, year 4
105
Teacher training, year 5
106
Teacher training, year 6
107
Teacher training, year 7 or more
108
Teacher training, year unknown
111
Post secondary education, year 1
112
Post secondary education, year 2
113
Post secondary education, year 3
114
Post secondary education, year 4
115
Post secondary education, year unknown
201
Higher education, year 1
202
Higher education, year 2
203
Higher education, year 3
204
Higher education, year 4
205
Higher education, year 5
206
Higher education, year 6
207
Higher education, year unknown
300
Other
301
Other, year 1
302
Other, year 2
303
Other, year 3
304
Other, year 4 or more
998
Unknown
EDUCPY indicates the person's educational attainment in Paraguay in terms of the level of schooling completed.
Education Variables -- PERSON
IPUMS
Language, Paraguay
Language, Paraguay
Language, Paraguay
Language, Paraguay
Language, Paraguay
NIU (not in universe)
10
Guaraní
20
Spanish
30
Guaraní and Spanish
40
Other language(s), foreign or indigenous
99
Unknown
LANGPY indicates the language or languages spoken by the respondent.
Ethnicity and Language Variables -- PERSON
IPUMS
Department of birth, Paraguay
Department of birth, Paraguay
Department of birth, Paraguay
Department of birth, Paraguay
Department of birth, Paraguay
1
Concepción
2
San Pedro
3
Cordillera
4
Guairá
5
Caaguazú
6
Caazapá
7
Itapúa
8
Misiones
9
Paraguarí
10
Alto Paraná
11
Central
12
Ñeembucú
13
Amambay
14
Canindeyú
15
Presidente Hayes
16
Boquerón
17
Alto Paraguay
18
Asunción
30
Olimpo
50
Foreign Country
98
Unknown
BPLPY1 indicates the department in Paraguay in which the person was born.
Nativity and Birthplace 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
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