DDI_URY_1996_PHC_v01_M_v03_A_IPUMS
Minnesota Population Center
2016-04-25
NADA
- Version 03 (April 2018). This version is identical to version 6.4 (April 2016), except for the DDI Document ID and ID Number which were updated.
Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.
The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
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.
Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)
General Population Census VII Home III and Housing V 1996 - IPUMS Subset
PHC 1996 (IPUMS Harmonized Subset)
URY_1996_PHC_v01_M_v03_A_IPUMS
National Institute of Statistics
Minnesota Population Center
(c) Copyright 1996, National Institute of Statistics and Minnesota Population Center
NADA
National Institute of Statistics
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
Group Quarters Variables -- HOUSEHOLD
Household Economic Variables -- HOUSEHOLD
Utilities Variables -- HOUSEHOLD
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Dwelling Characteristics Variables -- HOUSEHOLD
Constructed Household Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Constructed Family Interrelationship Variables -- PERSON
Demographic Variables -- PERSON
Geography: Global Variables -- HOUSEHOLD
Migration Variables -- PERSON
Fertility and Mortality Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Work Variables -- PERSON
Education Variables -- PERSON
Geography: M-Z Variables -- HOUSEHOLD
Other Household Variables -- HOUSEHOLD
Other Person Variables -- PERSON
Work: Occupation Variables -- PERSON
Work: Industry Variables -- PERSON
IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.
The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.
Uruguay
National coverage
Dwelling and person
UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: Yes
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
UNIT DESCRIPTIONS:
- Dwellings: Any room or set of rooms and their components that occupy a building or a structurally separate section of the building that, due to construction of modification, is intended for human habitation and is not being used for any other purpose at the time of enumeration. Any fixed or mobile shelter in which some person spent the night before the census day is also considered a dwelling.
- Households: A person or group of people, related or not, that a share a common food budget.
- Group quarters: Accommodation for the institutional population, or, people that are not integrated into private homes. This includes people not usually connected by kinship ties who share the dwelling for reasons of work, healthcare, studies, military activity, religion, tourism, etc., such as military installations, correctional institutions and prisons, dormitories of religious institutions, hospitals, student residences, hotels, etc.
Population in private and communal housing
Census/enumeration data [cen]
MICRODATA SOURCE: National Institute of Statistics
SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the Minnesota Population Center
SAMPLE UNIT: Dwelling
SAMPLE FRACTION: 10%
SAMPLE SIZE (person records): 315,920
Face-to-face [f2f]
Single record that includes housing, home, and population questionnaires
De facto, CENSUS DAY: May 22, 1996, FIELD WORK PERIOD: Census day and some additional weeks
Personal Interview
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 [dataset]. Minneapolis: University of Minnesota, 2015. http://doi.org/10.18128/D020.V6.4.
Researchers should also acknowledge the statistical agency that originally produced the data:
Uruguay, National Institute of Statistics, General Population Census VII, Home III and Housing V
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.
URY1996-H-H
Household records
0
91
URY1996-P-H
Person records
0
100
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.
RECTYPE is a 1-digit alphabetic (non-numeric) variable.
H = Household record
P = Person record
Technical Household Variables -- HOUSEHOLD
IPUMS
Year
Year
Year
Year
Year
1960
1960
1962
1962
1963
1963
1964
1964
1966
1966
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
YEAR gives the year in which the census was taken.
Technical Household Variables -- HOUSEHOLD
IPUMS
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
32197001
Argentina 1970
32199101
Argentina 1991
32200101
Argentina 2001
32201001
Argentina 2010
32219801
Argentina 1980
40197101
Austria 1971
40198101
Austria 1981
40199101
Austria 1991
40200101
Austria 2001
40201101
Austria 2011
50199101
Bangladesh 1991
50200101
Bangladesh 2001
50201101
Bangladesh 2011
51200101
Armenia 2001
51201101
Armenia 2011
68197601
Bolivia 1976
68199201
Bolivia 1992
68200101
Bolivia 2001
76196001
Brazil 1960
76197001
Brazil 1970
76198001
Brazil 1980
76199101
Brazil 1991
76200001
Brazil 2000
76201001
Brazil 2010
112199901
Belarus 1999
116199801
Cambodia 1998
116200801
Cambodia 2008
120197601
Cameroon 1976
120198701
Cameroon 1987
120200501
Cameroon 2005
124197101
Canada 1971
124198101
Canada 1981
124199101
Canada 1991
124200101
Canada 2001
152196001
Chile 1960
152197001
Chile 1970
152198201
Chile 1982
152199201
Chile 1992
152200201
Chile 2002
156198201
China 1982
156199001
China 1990
170196401
Colombia 1964
170197301
Colombia 1973
170198501
Colombia 1985
170199301
Colombia 1993
170200501
Colombia 2005
188196301
Costa Rica 1963
188197301
Costa Rica 1973
188198401
Costa Rica 1984
188200001
Costa Rica 2000
188201101
Costa Rica 2011
192200201
Cuba 2002
214196001
Dominican Republic 1960
214197001
Dominican Republic 1970
214198101
Dominican Republic 1981
214200201
Dominican Republic 2002
214201001
Dominican Republic 2010
218196201
Ecuador 1962
218197401
Ecuador 1974
218198201
Ecuador 1982
218199001
Ecuador 1990
218200101
Ecuador 2001
218201001
Ecuador 2010
222199201
El Salvador 1992
222200701
El Salvador 2007
231198401
Ethiopia 1984
231199401
Ethiopia 1994
231200701
Ethiopia 2007
242196601
Fiji 1966
242197601
Fiji 1976
242198601
Fiji 1986
242199601
Fiji 1996
242200701
Fiji 2007
250196201
France 1962
250196801
France 1968
250197501
France 1975
250198201
France 1982
250199001
France 1990
250199901
France 1999
250200601
France 2006
250201101
France 2011
275199701
Palestine 1997
275200701
Palestine 2007
276197001
Germany 1970 (West)
276197101
Germany 1971 (East)
276198101
Germany 1981 (East)
276198701
Germany 1987 (West)
288198401
Ghana 1984
288200001
Ghana 2000
288201001
Ghana 2010
300197101
Greece 1971
300198101
Greece 1981
300199101
Greece 1991
300200101
Greece 2001
324198301
Guinea 1983
324199601
Guinea 1996
332197101
Haiti 1971
332198201
Haiti 1982
332200301
Haiti 2003
348197001
Hungary 1970
348198001
Hungary 1980
348199001
Hungary 1990
348200101
Hungary 2001
356198341
India 1983
356198741
India 1987
356199341
India 1993
356199941
India 1999
356200441
India 2004
360197101
Indonesia 1971
360197601
Indonesia 1976
360198001
Indonesia 1980
360198501
Indonesia 1985
360199001
Indonesia 1990
360199501
Indonesia 1995
360200001
Indonesia 2000
360200501
Indonesia 2005
360201001
Indonesia 2010
364200601
Iran 2006
368199701
Iraq 1997
372197101
Ireland 1971
372197901
Ireland 1979
372198101
Ireland 1981
372198601
Ireland 1986
372199101
Ireland 1991
372199601
Ireland 1996
372200201
Ireland 2002
372200601
Ireland 2006
372201101
Ireland 2011
376197201
Israel 1972
376198301
Israel 1983
376199501
Israel 1995
380200101
Italy 2001
388198201
Jamaica 1982
388199101
Jamaica 1991
388200101
Jamaica 2001
400200401
Jordan 2004
404196901
Kenya 1969
404197901
Kenya 1979
404198901
Kenya 1989
404199901
Kenya 1999
404200901
Kenya 2009
417199901
Kyrgyz Republic 1999
417200901
Kyrgyz Republic 2009
430197401
Liberia 1974
430200801
Liberia 2008
454198701
Malawi 1987
454199801
Malawi 1998
454200801
Malawi 2008
458197001
Malaysia 1970
458198001
Malaysia 1980
458199101
Malaysia 1991
458200001
Malaysia 2000
466198701
Mali 1987
466199801
Mali 1998
466200901
Mali 2009
484196001
Mexico 1960
484197001
Mexico 1970
484199001
Mexico 1990
484199501
Mexico 1995
484200001
Mexico 2000
484200501
Mexico 2005
484201001
Mexico 2010
496198901
Mongolia 1989
496200001
Mongolia 2000
504198201
Morocco 1982
504199401
Morocco 1994
504200401
Morocco 2004
508199701
Mozambique 1997
508200701
Mozambique 2007
524200101
Nepal 2001
528196001
Netherlands 1960
528197101
Netherlands 1971
528200101
Netherlands 2001
558197101
Nicaragua 1971
558199501
Nicaragua 1995
558200501
Nicaragua 2005
566200621
Nigeria 2006
566200721
Nigeria 2007
566200821
Nigeria 2008
566200921
Nigeria 2009
566201021
Nigeria 2010
586197301
Pakistan 1973
586198101
Pakistan 1981
586199801
Pakistan 1998
591196001
Panama 1960
591197001
Panama 1970
591198001
Panama 1980
591199001
Panama 1990
591200001
Panama 2000
591201001
Panama 2010
600196201
Paraguay 1962
600197201
Paraguay 1972
600198201
Paraguay 1982
600199201
Paraguay 1992
600200201
Paraguay 2002
604199301
Peru 1993
604200701
Peru 2007
608199001
Philippines 1990
608199501
Philippines 1995
608200001
Philippines 2000
620198101
Portugal 1981
620199101
Portugal 1991
620200101
Portugal 2001
620201101
Portugal 2011
630197001
Puerto Rico 1970
630198001
Puerto Rico 1980
630199001
Puerto Rico 1990
630200001
Puerto Rico 2000
630200501
Puerto Rico 2005
630201001
Puerto Rico 2010
642197701
Romania 1977
642199201
Romania 1992
642200201
Romania 2002
646199101
Rwanda 1991
646200201
Rwanda 2002
662198001
Saint Lucia 1980
662199101
Saint Lucia 1991
686198801
Senegal 1988
686200201
Senegal 2002
694200401
Sierra Leone 2004
704198901
Vietnam 1989
704199901
Vietnam 1999
704200901
Vietnam 2009
705200201
Slovenia 2002
710199601
South Africa 1996
710200101
South Africa 2001
710200701
South Africa 2007
710201101
South Africa 2011
724198101
Spain 1981
724199101
Spain 1991
724200101
Spain 2001
724201101
Spain 2011
728200801
South Sudan 2008
729200801
Sudan 2008
756197001
Switzerland 1970
756198001
Switzerland 1980
756199001
Switzerland 1990
756200001
Switzerland 2000
764197001
Thailand 1970
764198001
Thailand 1980
764199001
Thailand 1990
764200001
Thailand 2000
792198501
Turkey 1985
792199001
Turkey 1990
792200001
Turkey 2000
800199101
Uganda 1991
800200201
Uganda 2002
804200101
Ukraine 2001
818199601
Egypt 1996
818200601
Egypt 2006
826199101
United Kingdom 1991
826200101
United Kingdom 2001
834198801
Tanzania 1988
834200201
Tanzania 2002
840196001
United States 1960
840197001
United States 1970
840198001
United States 1980
840199001
United States 1990
840200001
United States 2000
840200501
United States 2005
840201001
United States 2010
854198501
Burkina Faso 1985
854199601
Burkina Faso 1996
854200601
Burkina Faso 2006
858196301
Uruguay 1963
858197501
Uruguay 1975
858198501
Uruguay 1985
858199601
Uruguay 1996
858200621
Uruguay 2006
858201101
Uruguay 2011
862197101
Venezuela 1971
862198101
Venezuela 1981
862199001
Venezuela 1990
862200101
Venezuela 2001
894199001
Zambia 1990
894200001
Zambia 2000
894201001
Zambia 2010
SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows:
The first 3 digits are the ISO/UN codes used in COUNTRY
The next 4 digits are the year of the census/survey
The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41).
Technical Household Variables -- HOUSEHOLD
IPUMS
Household serial number
Household serial number
Household serial number
Household serial number
Household serial number
SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database.
SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred:
Chile 1970, 1992, 2002
Colombia 1993, 2005
Costa Rica 1984, 2000
Cuba 2002
Dominican Republic 1981, 2002, 2010
Ecuador 1990, 2001
Germany 1971
Hungary 1980, 1990, 2001
Jamaica 1982, 1991, 2001
Malaysia 1970, 1991, 2000
Mexico 1995, 1990, 2000, 2005
Nigeria 2006
Panama 2000
Peru 1993, 2007
Portugal 1981, 1991, 2001
Spain 1991
Uruguay 2011
Venezuela 1990, 2001
Vietnam 1989
In all other samples, the last 3 digits are always zeroes.
SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.
SERIAL is a 10-digit numeric variable.
The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes.
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.
PERSONS is a 3-digit numeric variable.
Technical Household 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
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
Land ownership
Land ownership
Land ownership
Land ownership
Land ownership
NIU (not in universe)
10
Land owned by a resident
11
Owned, fully paid for
12
Owned, still paying
13
Freehold tenure
14
Customary land
20
Land not owned
21
Rented
22
Ceded
23
Mailo land tenure
24
Free, occupied with consent
25
Free, occupied without consent
26
Free, consent not specified
27
Communal
28
Right to build
29
Right to use
30
Other, not specified
99
Unknown
This variable indicates whether the land on which the dwelling was located was owned, either in full or in part, by one of the dwelling's residents.
Conceivably, a resident might own land but not the dwelling on which it resides. Such a case would be classified as NIU (not in universe): only dwellings indicating that a resident owned the dwelling were asked about land ownership.
Household Economic Variables -- HOUSEHOLD
IPUMS
Water supply
Water supply
Water supply
Water supply
Water supply
NIU (not in universe)
10
Yes, piped water
11
Piped inside dwelling
12
Piped, exclusively to this household
13
Piped, shared with other households
14
Piped outside the dwelling
15
Piped outside dwelling, in building
16
Piped within the building or plot of land
17
Piped outside the building or lot
18
Have access to public piped water
20
No piped water
99
Unknown
WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water.
Utilities Variables -- HOUSEHOLD
IPUMS
Sewage
Sewage
Sewage
Sewage
Sewage
NIU (not in universe)
10
Connected to sewage system or septic tank
11
Sewage system (public sewage disposal)
12
Septic tank (private sewage disposal)
20
Not connected to sewage disposal system
99
Unknown
SEWAGE indicates whether the household has access to a sewage system or septic tank.
Utilities Variables -- HOUSEHOLD
IPUMS
Telephone availability
Telephone availability
Telephone availability
Telephone availability
Telephone availability
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
PHONE indicates the availability of a telephone in the dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Automobiles available
Automobiles available
Automobiles available
Automobiles available
Automobiles available
No autos
1
1 auto
2
2 autos
3
3 autos
4
4 autos
5
5 autos
6
6+ autos
7
Have auto, number unspecified
8
Unknown
9
NIU (not in universe)
AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Central heating
Central heating
Central heating
Central heating
Central heating
NIU (not in universe)
1
No heating
2
Central heating, not specified
3
Collective central heating
4
Individual central heating
5
Other heating, not central
6
Heating, unspecified
7
No central heating/heating unknown
9
Unknown
HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Clothes washing machine
Clothes washing machine
Clothes washing machine
Clothes washing machine
Clothes washing machine
NIU (not in universe)
1
No
2
Yes
3
Automatic or semi-automatic
4
Wringer or other non-automatic
9
Unknown/missing
WASHER indicates whether the household had a clothes washing machine.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Food freezer
Food freezer
Food freezer
Food freezer
Food freezer
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
FREEZER indicates whether the household had a food freezer separate from a refrigerator.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Refrigerator
Refrigerator
Refrigerator
Refrigerator
Refrigerator
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
REFRIG indicates whether the household had a refrigerator.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Television set
Television set
Television set
Television set
Television set
NIU (not in universe)
10
No
20
Yes, color or black-and-white not specified
21
1 television
22
2 televisions
23
3 televisions
24
4 televisions
25
5 televisions
26
6 televisions
27
7 televisions
28
8 televisions
29
9+ televisions
30
Yes, color only
31
1 color tv
32
2 color tvs
33
3+ color tvs
40
Yes, black-and-white only
41
1 black-white tv
42
2 black-white tvs
43
3+ black-white tvs
50
Yes, both color and black-and-white
52
2+ color and black-white tvs
53
3+ color and black-white tvs
54
4+ color and black-white tvs
99
Unknown/missing
TV indicates whether the household had a television.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Videocassette recorder
Videocassette recorder
Videocassette recorder
Videocassette recorder
Videocassette recorder
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
VCR indicates whether the household had a videocassette recorder or similar device.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Part of a room; no rooms
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
ROOMS indicates the number of rooms occupied by the housing unit.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
NIU (not in universe)
10
No kitchen
11
Food is prepared in a non-kitchen room
13
Does not prepare food in the dwelling
20
Yes, have a kitchen
21
Kitchen located inside the dwelling
22
Indoor kitchen, exclusive use
23
Indoor kitchen, shared use
24
Exclusive use of kitchen (indoor/outdoor status not specified)
25
Kitchen shared with another household (indoor/outdoor status not specified)
26
Kitchen located outside the dwelling
27
Outdoor kitchen, exclusive use
28
Outdoor kitchen, shared use
99
Unknown/missing
KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Toilet
Toilet
Toilet
Toilet
Toilet
NIU (not in universe)
10
No toilet
11
No flush toilet
20
Have toilet, type not specified
21
Flush toilet
22
Non-flush, latrine
23
Non-flush, other and unspecified
99
Unknown
TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Floor material
Floor material
Floor material
Floor material
Floor material
NIU (not in universe)
100
None/unfinished (earth)
110
Sand
120
Dung
200
Finished
201
Cement, tile, or brick
202
Cement
203
Concrete
204
Cement screed
205
Ceramic tile
206
Paving stone, cement tile
207
Stone
208
Brick
209
Brick or stone
210
Brick or cement
211
Block
212
Terrazzo
213
Wood
214
Palm, bamboo
215
Parquet
216
Parquet, tile, vinyl
217
Parquet, tile, marble
218
Ceramic, marble, granite
219
Ceramic, marble, tile, or vinyl
220
Marble
221
Mosaic
222
Tile
223
Tile, linoleum, ceramic, etc
224
Tile, cement
225
Tile, stone
226
Tile, stone, brick
227
Tile, stone, vinyl, brick
228
Tile, vinyl, brick
229
Tile, vinyl
230
Vinyl, linoleum, etc
231
Asphalt sheet, vinyl, etc
232
Synthetic, plastic
233
Cane
234
Carpet
235
Scrap material
236
Other finished, n.e.c.
999
Unknown/missing
FLOOR indicates the dwelling's predominant flooring material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Wall or building material
Wall or building material
Wall or building material
Wall or building material
Wall or building material
NIU (not in universe)
100
No walls
200
Cardboard, scrap, and miscellaneous materials
201
Waste, scrap, or discarded material
202
Fabric or discarded material
203
Zinc, fabric, cardboard, tins, and waste material
204
Cardboard sheet
205
Plastic sheeting, cardboard
206
Makeshift, salvaged, or improvised materials
207
Reused materials
300
Wood
310
Rough wood
320
Wood, fibercement or plywood
330
Wood, formica, and other
340
Wood or bamboo
350
Wood or straw
400
Other plant-based materials
401
Plantain leaves and similar material
402
Bamboo or cane
403
Bamboo, sawali, cogon, nipa
404
Straw or bamboo
405
Grass, straw or reed
406
Reed, bamboo, or palm
407
Cane, palm leaves, logs
408
Palm leaves or palm planks
500
Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood)
501
Brick, block, stone, or cement
502
Brick, stone, concrete
503
Brick, stone, or substitutes (dividing panels made of reinforced concrete)
504
Brick, stone, or substitutes (dividing panels made of wood)
505
Brick or tile
506
Brick or stone
507
Brick or cement block
508
Brick with plaster exterior
509
Brick without plaster exterior
510
Burnt or stabilized brick
511
Brick
512
Unburnt brick
513
Unburnt brick with cement
514
Unburnt brick with mud
515
Concrete
516
Landcrete
517
Cement blocks
518
Cement blocks or brick
519
Cement blocks or brick, unfinished
520
Cement and adobe bricks
521
Cement and stone block
522
Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete
523
Concrete, reinforced concrete, blocks, panels
524
Adobe
525
Adobe walls with plaster exterior
526
Adobe walls without plaster exterior
527
Adobe with cement exterior
528
Adobe (tabique, quinche)
529
Wood and earth adobe
530
Wood and cement adobe
531
Mud or adobe
532
Pressed dirt
533
Clay
534
Coated clay/mud with sticks/cane
535
Clay or clay-covered sticks
536
Netted bamboo or cane with mud
537
Bundle of mud, straw, other materials
538
Mud with wood/wattle
539
Pole and mud
540
Mud with cement
541
Unfinished lathe and plaster, stucco, etc.
542
Stone
543
Hand-laid stone
544
Quarried stone
545
Cut stone and concrete
546
Cemented stone
547
Stone with clay
548
Blocks of light material
549
Prefabricated material
550
Asbestos
551
Metal or asbestos sheet
552
Metal or iron sheet
553
Metal or fibercement sheeting
554
Galvanized iron or aluminum
555
Tin
556
Glass
557
Cloth
558
Covintec panels
559
Mixed material
560
Mixed material: part wood; part concrete, brick, or stone
561
Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc.
570
Mainly permanent materials
600
Other material
999
Unknown/missing
This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Roof material
Roof material
Roof material
Roof material
Roof material
NIU (not in universe)
10
Masonry, concrete, clay tile, or tiles of unspecified type
11
Concrete or cement
12
Reinforced concrete (slab)
13
Cement or sheet metal
14
Tile, unspecified
15
Clay tile
16
Tile or cement
17
Modern tiles, industrial
18
Traditional tiles, locally made
19
Tile or flat stone
20
Fibercement or plastic
21
Asphalt or laminate cover
22
Tile, cement, asphalt
23
Asphalt tile
24
Slate or tile
25
Slate or asbestos
26
Asbestos
27
Adobe
28
Tiles or wood planks
29
Roofing shingles
30
Metal
31
Sheet metal
32
Zinc or tin
33
Tin
34
Sheet metal or other sheet material
35
Sheet metal, tile, slate
40
Wood and other plant materials
41
Wood
42
Wood, including bamboo
43
Bamboo
44
Cogon, nipa, anahaw
45
Thatch (straw, grass, leaves, palm, etc.)
46
Cane, wood, straw
47
Grass
48
Papyrus
49
Banana leaves or fiber
50
Palm or makuti
51
Plant material or wood with clay
52
Grass and mud
53
Straw, bamboo, polythene
54
Rustic mat
60
Mud or earth
61
Clay
70
Cardboard, scrap, and miscellaneous materials
71
Discarded or scrap material
72
Cardboard
73
Plastic
80
Other, unspecified
99
Unknown/missing
This variable indicates the dwelling's predominant roofing material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Vacant household
1
1 family
2
2 families
3
3 families
4
4 families
5
5 families
6
6 families
7
7 families
8
8 families
9
9 or more families
NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Head's location in household
Head's location in household
Head's location in household
Head's location in household
Head's location in household
HEADLOC gives the person number of the head of household in samples in which persons are organized into households.
This is a 3-digit numeric variable with 0 implied decimal places
Constructed Household Variables -- HOUSEHOLD
IPUMS
Household classification
Household classification
Household classification
Household classification
Household classification
Vacant household
1
One-person household
2
Married/cohab couple, no children
3
Married/cohab couple with children
4
Single-parent family
5
Polygamous family
6
Extended family, relatives only
7
Composite household, family and non-relatives
8
Non-family household
9
Unclassified subfamily
10
Other relative or non-relative household
11
Group quarters
99
Unclassifiable
HHTYPE is a constructed variable that describes the composition of households.
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Continent and region of country
Continent and region of country
Continent and region of country
Continent and region of country
Continent and region of country
11
Eastern Africa
12
Middle Africa
13
Northern Africa
14
Southern Africa
15
Western Africa
21
Caribbean
22
Central America
23
North America
24
South America
31
Central Asia
32
Eastern Asia
33
Southern Asia
34
South-Eastern Asia
35
Western Asia
41
Eastern Europe
42
Northern Europe
43
Southern Europe
44
Western Europe
51
Australia and New Zealand
52
Melanesia
53
Micronesia
54
Polynesia
REGIONW identifies the continent and region of each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
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 RÃos [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
RÃo 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
Potosà [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
Piauà [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
EspÃrito 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 AraucanÃa [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
BolÃvar 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, QuindÃo, 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 GuainÃa [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 RÃo [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
HolguÃn [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
ElÃas 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
MarÃa 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 MacorÃs [Province: Dominican Republic]
214024
Sánchez RamÃrez [Province: Dominican Republic]
214025
Santiago [Province: Dominican Republic]
214026
Santiago RodrÃguez [Province: Dominican Republic]
214027
Valverde [Province: Dominican Republic]
218001
Azuay [Province: Ecuador]
218002
BolÃvar [Province: Ecuador]
218004
Carchi [Province: Ecuador]
218005
Cotopaxi [Province: Ecuador]
218006
Chimborazo [Province: Ecuador]
218007
El Oro [Province: Ecuador]
218009
Cañar, Esmeraldas, Guayas, ManabÃ, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los RÃos, 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, SucumbÃos [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
ÃŽle-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 Potosà [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
MadrÃz [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
RÃo 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, ChiriquÃ, 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 Paraguarà [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
ApurÃmac [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
JunÃn [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 MartÃn [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
PenÃnsula de Setúbal [Subregion: Portugal]
620185
LezÃria 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
PaÃs 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
AndalucÃa [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
RÃo 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
BolÃvar [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
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
UNREL indicates the number of persons in the household who are unrelated to the head.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
All records
This variable indicates the dwelling number.
This is a 7-digit numeric variable with 0 implied decimal places
Technical Household Variables -- HOUSEHOLD
IPUMS
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
All records
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
This variable indicates the household number within the dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
All records
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
28
28
29
29
30
30
31
31
32
32
37
37
This variable indicates the number of households in the dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
All records
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
This variable indicates the number of persons in the dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of persons in household
Number of persons in household
Number of persons in household
Number of persons in household
Number of persons in household
Number of persons in household
All records
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
This variable indicates the number of persons 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 if the dwelling was created by splitting apart a large dwelling or household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Department
Department
Department
Department
Department
A. Geographic Identification
Department: ____ _ _
Section: ____ _ _
Segment: ____ _ _ _
Zone: ____ _ _ _
Enumerator: ____ _ _
Border: ____ _ _
All households
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
This variable indicates the department where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Type of dwelling
Type of dwelling
Type of dwelling
Type of dwelling
Type of dwelling
6. Indicate the type of dwelling, mark only one box
Private dwelling:
[] 1 House
[] 2 Apartment
[] 3 Apartment or room in a school, factory, etc.
[] 4 Place not built for habitation
[] 5 Mobile dwelling (tent, rolling house, etc.)
[] 6 Other
Collective dwelling:
[] 7 Hotel, time share, "parador", motel
[] 8 Hospital, sanatorium
[] 9 Home for the elderly
[] 10 Student residence
[] 11 Worker house
[] 12 Asylum
[] 13 Other
All households
1
House
2
Apartment
3
Room in school/factory/similar
4
Place not built for habitation
5
Mobile dwelling
6
Other private
7
Hotel
8
Hospital
9
Nursing home
10
Student dormitory
11
Worker house
12
Asylum
13
Other collective
This variable indicates the type of dwelling.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Condition of occupancy
Condition of occupancy
Condition of occupancy
Condition of occupancy
Condition of occupancy
7. Indicate if the dwelling is:
Occupied:
[] 1 With inhabitants present
[] 2 With inhabitants absent
Unoccupied:
[] 3 Used seasonally or on weekends
[] 4 Finishing being under construction or repair
[] 5 For sale or rent
[] 6 Other reason
All households
1
Occupied, inhabitants present
2
Occupied, inhabitants absent
3
Unoccupied, seasonal
4
Unoccupied, under construction
5
Unoccupied, for sale or rent
6
Unoccupied, other reason
This variable indicates the dwelling's condition of occupancy.
Technical Household Variables -- HOUSEHOLD
IPUMS
Predominant material of walls
Predominant material of walls
Predominant material of walls
Predominant material of walls
Predominant material of walls
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
8. What is the predominant material of the exterior walls?
[] 1 Masonry: bricks, concrete blocks, ticholo, stones, etc.
[] 2 Wood and sheets of zinc, fibrocemento
[] 3 Mud (terron, adobe, fagina)
[] 4 Tin or waste material
[] 5 Other
Occupied private households
1
Masonry
2
Wood/zinc sheets/fibro
3
Mud
4
Tin or waste material
5
Other
8
Unknown
9
NIU (not in universe)
This variable indicates the predominant construction material of the dwelling's walls.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Predominant material of roof
Predominant material of roof
Predominant material of roof
Predominant material of roof
Predominant material of roof
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
9. What is the predominant material of the roof?
[] 1 Sheets of cement, bovedilla (type of vault) with or without tiles
[] 2 Sheets of zinc, fibrocement, aluminum, asphalt tiles, tiles over framework, with a flat roof
[] 3 Sheets of zinc, fibrocement, aluminum, asphalt tiles, tiles over framework, without a flat roof
[] 4 Straw
[] 5 Tin or waste material
[] 6 Other
Occupied private households
1
Cement sheets/bovedilla
2
Zinc/fibro/tiles, flat roof
3
Zinc/fibro/tiles, without flat roof
4
Straw
5
Tin or waste material
6
Other
8
Unknown
9
NIU (not in universe)
This variable indicates the predominant construction material of the dwelling's roof.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Predominant material of floor
Predominant material of floor
Predominant material of floor
Predominant material of floor
Predominant material of floor
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
10. What is the predominant material of the floor?
[] 1 Earth, mud, or rubble earth
[] 2 Concrete, portland concrete, stones or bricks
[] 3 Wood, floor tile, parquet, linoleum
[] 4 Other
Occupied private households
1
Earth
2
Concrete/stones/bricks
3
Wood/tile/linoleum
4
Other
8
Unknown
9
NIU (not in universe)
This variable indicates the predominant construction material of the dwelling's floor.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Water source
Water source
Water source
Water source
Water source
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
11. What is the origin of water of the dwelling, used for drinking and eating?
[] 1 General network
[] 2 Well
[] 3 Tank [aljibe]
[] 4 Other (stream, river, etc.)
Occupied private households
1
General network
2
Well
3
Tank
4
Other
8
Unknown
9
NIU (not in universe)
This variable indicates the source where the household obtains its water supply.
Utilities Variables -- HOUSEHOLD
IPUMS
Water connection
Water connection
Water connection
Water connection
Water connection
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
12. What is the source of water in the dwelling?
[] 1 Piped within the dwelling
[] 2 Pipes from outside the dwelling
[] 3 Other means
Occupied private households
1
Piped, within dwelling
2
Piped, outside dwelling
3
Other means
8
Unknown
9
NIU (not in universe)
This variable indicates where the water connection is located where the household obtains its water supply.
Utilities Variables -- HOUSEHOLD
IPUMS
Electric lighting from U.T.E. (public utility)
Electric lighting from U.T.E. (public utility)
Electric lighting from U.T.E. (public utility)
Electric lighting from U.T.E. (public utility)
Electric lighting from U.T.E. (public utility)
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
13. Does this dwelling have any of the following services of electrical lighting?
Mark all that apply.
[] 1 From the U.T.E. [public electricity company]
[] 2 Battery charger
[] 3 Generator
[] 4 Other electric
Occupied private households
1
Yes, has
2
No, does not have
9
NIU (not in universe)
This variable indicates whether the household has electric lighting service from UTE (public utility).
Utilities Variables -- HOUSEHOLD
IPUMS
Electric lighting from battery charger
Electric lighting from battery charger
Electric lighting from battery charger
Electric lighting from battery charger
Electric lighting from battery charger
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
13. Does this dwelling have any of the following services of electrical lighting?
Mark all that apply.
[] 1 From the U.T.E. [public electricity company]
[] 2 Battery charger
[] 3 Generator
[] 4 Other electric
Occupied private households
1
Yes, has
2
No, does not have
9
NIU (not in universe)
This variable indicates if the household has electric lighting service from a battery charger.
Utilities Variables -- HOUSEHOLD
IPUMS
Electric lighting from generator
Electric lighting from generator
Electric lighting from generator
Electric lighting from generator
Electric lighting from generator
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
13. Does this dwelling have any of the following services of electrical lighting?
Mark all that apply.
[] 1 From the U.T.E. [public electricity company]
[] 2 Battery charger
[] 3 Generator
[] 4 Other electric
Occupied private households
1
Yes, has
2
No, does not have
9
NIU (not in universe)
This variable indicates if the household has electric lighting service from a generator.
Utilities Variables -- HOUSEHOLD
IPUMS
Electric lighting from other electric source
Electric lighting from other electric source
Electric lighting from other electric source
Electric lighting from other electric source
Electric lighting from other electric source
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
13. Does this dwelling have any of the following services of electrical lighting?
Mark all that apply.
[] 1 From the U.T.E. [public electricity company]
[] 2 Battery charger
[] 3 Generator
[] 4 Other electric
Occupied private households
1
Yes, has
2
No, does not have
9
NIU (not in universe)
This variable indicates if the household has electric lighting service from another (unlisted) source.
Utilities Variables -- HOUSEHOLD
IPUMS
Number of rooms, residential
Number of rooms, residential
Number of rooms, residential
Number of rooms, residential
Number of rooms, residential
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
Without considering bathrooms or rooms used exclusively for cooking and storing, how many rooms does this home have in total for:
14. Residential purposes: ____
15. Non-residential purposes: ____
Occupied private households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
99
NIU (not in universe)
This variable indicates the number of rooms that the household occupies with a residential purpose.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of rooms, non-residential
Number of rooms, non-residential
Number of rooms, non-residential
Number of rooms, non-residential
Number of rooms, non-residential
C. Information about the occupied private dwelling with inhabitants present (only for the 1st home and single home)
[Questions 8-15.]
Without considering bathrooms or rooms used exclusively for cooking and storing, how many rooms does this home have in total for:
14. Residential purposes: ____
15. Non-residential purposes: ____
Occupied private households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8+
98
Unknown
99
NIU (not in universe)
This variable indicates the number of rooms that the household occupies with a non-residential purpose.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
16. In this dwelling, how many households (groups of people) have separate budgets, at least for meals ([each household] shares a common pot): ____
Occupied private households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
99
NIU (not in universe)
This variable indicates the number of households that reside in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Type of toilet
Type of toilet
Type of toilet
Type of toilet
Type of toilet
1. Does the household in this dwelling have any hygienic service (e.g. W.C., latrine, etc.)?
[] 1 Yes, with instantaneous discharge of water
[] 2 Yes, but without discharge
[] 3 Does not have hygienic service.
Occupied private households
1
Yes, with flush
2
Yes, without flush
3
None
9
NIU (not in universe)
This variable indicates the type of toilet that the household uses.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Toilet use
Toilet use
Toilet use
Toilet use
Toilet use
2. The use of hygienic service is:
[] 1 Private of this home
[] 2 Shared with other homes
Occupied private households with toilet access
1
Private
2
Shared
9
NIU (not in universe)
This variable indicates whether the toilet used by the household is for private use.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Sewer system
Sewer system
Sewer system
Sewer system
Sewer system
3. The disposal of hygienic waste is done by:
[] 1 General [public] system
[] 2 Septic tank, cesspool
[] 3 Other (hole in the ground, surface, etc.)
Occupied private households with toilet access
1
Public system
2
Septic tank/cesspool
3
Other
9
NIU (not in universe)
This variable indicates the type of sewer system that the household uses.
Utilities Variables -- HOUSEHOLD
IPUMS
Kitchen
Kitchen
Kitchen
Kitchen
Kitchen
4. In this home, is there any appropriate place for cooking, with kitchen sink and faucet?
[] 1 Yes, private to this home.
[] 2 Yes, shared with other homes.
[] 3 None
Occupied private households
1
Private
2
Shared
3
None
8
Unknown
9
NIU (not in universe)
This variable indicates the type of kitchen that the household has.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Principal source of energy for cooking
Principal source of energy for cooking
Principal source of energy for cooking
Principal source of energy for cooking
Principal source of energy for cooking
5. What is the principal source of energy used for cooking?
Mark only the main source:
[] 1 Electricity
[] 2 Supergas [LPG]
[] 3 Kerosene
[] 4 Piped gas
[] 5 Wood
[] 6 Other
[] 7 None, does not cook
Occupied private households
1
Electricity
2
LPG (supergas)
3
Kerosene
4
Piped gas
5
Wood
6
Other
7
None, does not cook
8
Unknown
9
NIU (not in universe)
This variable indicates the principal source of energy that the household uses for cooking.
Utilities Variables -- HOUSEHOLD
IPUMS
Principal source of heating
Principal source of heating
Principal source of heating
Principal source of heating
Principal source of heating
6. Which source does your household use for heat?
Mark only the main source:
[] 1 Stove, heating panel, or similar
[] 2 Air conditioner
[] 3 Central heating
[] 4 Other
[] 5 None (go to question 8)
Occupied private households
1
Stove/heating panel/similar
2
Air conditioner
3
Central heating system
4
Other
5
None
9
NIU (not in universe)
This variable indicates the principal source of heating used by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Type of heating fuel
Type of heating fuel
Type of heating fuel
Type of heating fuel
Type of heating fuel
7. What is the principal source of energy for heating rooms?
[Question 7 was asked of households that heat their dwelling, as per question 6.]
[] 1 Electricity
[] 2 Supergas [LPG]
[] 3 Kerosene
[] 4 Wood
[] 5 Gas oil
[] 6 Fuel oil
[] 7 Piped gas
[] 8 Other
Occupied private households with heat
1
Electricity
2
LPG (supergas)
3
Kerosene
4
Wood
5
Gas oil
6
Fuel oil
7
Piped gas
8
Other
9
NIU (not in universe)
This variable indicates the type of fuel that the household uses for heating.
Utilities Variables -- HOUSEHOLD
IPUMS
Ownership
Ownership
Ownership
Ownership
Ownership
Tenancy
8. With respect to this dwelling, this household is:
[] 1 Owner of the dwelling and land
[] 2 Owner of the dwelling only
[] 3 Member of living cooperative
[] 4 Tenant or renter
[] 5 Occupant by a relation of dependence (work)
[] 6 Occupied by loan, cede or permission
[] 7 Occupied without permission
[] 8 Other
Occupied private households
1
Owns dwelling and land
2
Owns dwelling only
3
Cooperative
4
Rents
5
Occupies through work
6
Occupies with loan/permission agreement
7
Occupies without owner's premission
8
Other
9
Unknown
99
NIU (not in universe)
This variable indicates the type of ownership that the household holds over the property.
Household Economic Variables -- HOUSEHOLD
IPUMS
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Rooms for sleeping
9. How many rooms are used for sleeping in this home? ____
Occupied private households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
99
NIU (not in universe)
This variable indicates the number of rooms that the household uses for sleeping.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Motor vehicle
Motor vehicle
Motor vehicle
Motor vehicle
Motor vehicle
10. Does this home have its own vehicle (car or truck) for its own personal use?
[] 1 Does not have
[] 2 Yes, one
[] 3 Yes, more than one
Occupied private households
1
None
2
Yes, one
3
Yes, more than one
8
Unknown
9
NIU (not in universe)
This variable indicates the number of motor vehicles that the household has for personal uses.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Gas water heater
Gas water heater
Gas water heater
Gas water heater
Gas water heater
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a gas water heater.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Electric water heater
Electric water heater
Electric water heater
Electric water heater
Electric water heater
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has an electric water heater.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Simple refrigerator
Simple refrigerator
Simple refrigerator
Simple refrigerator
Simple refrigerator
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a simple refrigerator.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Refrigerator with freezer
Refrigerator with freezer
Refrigerator with freezer
Refrigerator with freezer
Refrigerator with freezer
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a refrigerator with freezer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Freezer
Freezer
Freezer
Freezer
Freezer
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a freezer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Color TV
Color TV
Color TV
Color TV
Color TV
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a color television.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Black and white TV
Black and white TV
Black and white TV
Black and white TV
Black and white TV
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a black and white television.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Telephone
Telephone
Telephone
Telephone
Telephone
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a telephone.
Utilities Variables -- HOUSEHOLD
IPUMS
Microwave oven
Microwave oven
Microwave oven
Microwave oven
Microwave oven
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a microwave oven.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Video player (VCR)
Video player (VCR)
Video player (VCR)
Video player (VCR)
Video player (VCR)
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a video player (VCR).
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Common washer
Common washer
Common washer
Common washer
Common washer
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a common washer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Programmed washer
Programmed washer
Programmed washer
Programmed washer
Programmed washer
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a programmed washer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Computer
Computer
Computer
Computer
Computer
11. Does the home have any of the following appliances?
[] Water heater [gas]
[] Instant heater [electric]
[] Simple refrigerator
[] Refrigerator with freezer
[] Freezer
[] Color TV
[] Black and white TV
[] Telephone
[] Microwave oven
[] Video cassette player
[] Common washer
[] Programmed washer
[] Computer
Occupied private households
1
Has
2
Does not have
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household has a computer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Type of household according to 1996 classification
Type of household according to 1996 classification
Type of household according to 1996 classification
Type of household according to 1996 classification
Type of household according to 1996 classification
Type of household according to 1996 classification
Occupied private households
1
Single person household
2
Nuclear without children
3
Nuclear with children
4
Nuclear with one couple
5
Extended nuclear without children
6
Extended nuclear with children
7
Extended nuclear single family
8
Extended, non-nuclear
9
Compound
98
Unknown
99
NIU (not in universe)
This variable indicates the type of household according to 1996 classifications.
Other Household Variables -- HOUSEHOLD
IPUMS
Type of household according to 1985 classification
Type of household according to 1985 classification
Type of household according to 1985 classification
Type of household according to 1985 classification
Type of household according to 1985 classification
Type of household according to 1985 classification
Occupied private households
1
Single person household
2
Nuclear without children
3
Nuclear with children
4
Nuclear with one couple
5
Extended nuclear without children
6
Extended nuclear with children
7
Extended nuclear single family
8
Extended, non-nuclear
9
Compound
98
Unknown
99
NIU (not in universe)
This variable indicates the type of household according to 1985 classifications.
Other Household Variables -- HOUSEHOLD
IPUMS
Collective dwelling
Collective dwelling
Collective dwelling
Collective dwelling
Collective dwelling
Collective dwelling
All households
1
Private household
2
Collective dwelling
This variable indicates whether the household is private or collective.
Other 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.
HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Household Variables -- HOUSEHOLD
IPUMS
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
858001
Montevideo
858002
Artigas
858003
Canelones
858004
Cerro Largo
858005
Colonia
858006
Durazno
858007
Flores
858008
Florida
858009
Lavalleja
858010
Maldonado
858011
Paysandú
858012
RÃo Negro
858013
Rivera
858014
Rocha
858015
Salto
858016
San Jose
858017
Soriano
858018
Tacuarembó
858019
Treinta Y Tres
GEO1_UY identifies the household's department within Uruguay in all sample years. Departments are the first level administrative units of the country. GEO1_UY is spatially harmonized to account for political boundary changes across census years. A GIS map (in shapefile format), corresponding to GEO1_UY can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Uruguay 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 Uruguay. Year specific geography and maps will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
No married couples in household
1
1 couple
2
2 couples
3
3 couples
4
4 couples
5
5 couples
6
6 couples
7
7 couples
8
8 couples
9
9 or more couples
NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
No mothers in household
1
1 mother
2
2 mothers
3
3 mothers
4
4 mothers
5
5 mothers
6
6 mothers
7
7 mothers
8
8 mothers
9
9 or more mothers in household
NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
No fathers in household
1
1 father
2
2 fathers
3
3 fathers
4
4 fathers
5
5 fathers
6
6 fathers
7
7 fathers
8
8 fathers
9
9 or more fathers in household
NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Country
Country
Country
Country
Country
32
Argentina
40
Austria
50
Bangladesh
51
Armenia
68
Bolivia
76
Brazil
112
Belarus
116
Cambodia
120
Cameroon
124
Canada
152
Chile
156
China
170
Colombia
188
Costa Rica
192
Cuba
214
Dominican Republic
218
Ecuador
222
El Salvador
231
Ethiopia
242
Fiji
250
France
275
Palestine
276
Germany
288
Ghana
300
Greece
324
Guinea
332
Haiti
348
Hungary
356
India
360
Indonesia
364
Iran
368
Iraq
372
Ireland
376
Israel
380
Italy
388
Jamaica
400
Jordan
404
Kenya
417
Kyrgyz Republic
430
Liberia
454
Malawi
458
Malaysia
466
Mali
484
Mexico
496
Mongolia
504
Morocco
508
Mozambique
524
Nepal
528
Netherlands
558
Nicaragua
566
Nigeria
586
Pakistan
591
Panama
600
Paraguay
604
Peru
608
Philippines
620
Portugal
630
Puerto Rico
642
Romania
646
Rwanda
662
Saint Lucia
686
Senegal
694
Sierra Leone
704
Vietnam
705
Slovenia
710
South Africa
724
Spain
728
South Sudan
729
Sudan
756
Switzerland
764
Thailand
792
Turkey
800
Uganda
804
Ukraine
818
Egypt
826
United Kingdom
834
Tanzania
840
United States
854
Burkina Faso
858
Uruguay
862
Venezuela
894
Zambia
COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
Technical Household Variables -- HOUSEHOLD
IPUMS
Electricity
Electricity
Electricity
Electricity
Electricity
NIU (not in universe)
1
Yes
2
No
9
Unknown
ELECTRIC indicates whether the household had access to electricity.
Utilities Variables -- HOUSEHOLD
IPUMS
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
No bedrooms
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20+
98
Unknown
99
NIU (not in universe)
BEDROOMS indicates the number of rooms available to members of the household for sleeping.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
NIU (not in universe)
1
Owned
2
Not owned
9
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
NIU (not in universe)
100
Owned
110
Owned, already paid
120
Owned, still paying
130
Owned, constructed
140
Owned, inherited
190
Owned, other
191
Owned, house
192
Owned, condominium
193
Apartment proprietor
194
Shared ownership
200
Not owned
210
Renting, not specified
211
Renting, government
212
Renting, local authority
213
Renting, parastatal
214
Renting, private
215
Renting, private company
216
Renting, individual
217
Renting, collective
218
Renting, joint state and individual
219
Renting, public subsidized
220
Renting, private subsidized
221
Renting, co-tenant
222
Renting, relative of tenant
223
Renting, cooperative
224
Renting, with a job or business
225
Renting, loan-backed habitation
226
Renting, mixed contract
227
Furnished dwelling
228
Sharecropping
230
Subletting
231
Rent to own
239
Renting, other
240
Occupied de facto/squatting
250
Free/usufruct (no cash rent)
251
Free, provided by employer
252
Free, without work or services
253
Free, provided by family or friend
254
Free, private
255
Free, public
256
Free, condemned
257
Free, other
290
Not owned, other
999
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Cooking fuel
Cooking fuel
Cooking fuel
Cooking fuel
Cooking fuel
NIU (not in universe)
10
None
20
Electricity
30
Petroleum gas, unspecified
31
Gas -- piped/utility
32
Gas -- tanked or bottled
33
Propane
35
Liquefied petroleum gas
40
Petroleum liquid
41
Oil, kerosene, and other liquid fuels
42
Kerosene/paraffin
43
Kerosene or oil
44
Kerosene or gasoline
45
Gasoline
46
Cocinol
50
Wood, coal, and other solid fuels
51
Wood and other plant fuels
52
Non-wood plant materials
53
Coal or charcoal
54
Charcoal
55
Coal
56
Wood or charcoal
60
Multiple fuels
61
Bottled gas and wood
62
Propane and electricity
63
Propane, kerosene, and electricity
64
Propane and kerosene
65
Kerosene and electrictiy
66
Other combinations
70
Other
71
Alcohol
72
Biogas
73
Discarded or waste material
74
Dung/manure
75
Dung or grass
76
Solar energy
77
Candle
99
Unknown/missing
FUELCOOK indicates the predominant type of fuel or energy used for cooking.
Utilities Variables -- HOUSEHOLD
IPUMS
Fuel for heating
Fuel for heating
Fuel for heating
Fuel for heating
Fuel for heating
NIU (not in universe)
1
None
2
Electricity
3
Fuel oil, kerosene, other liquid fuels
4
Kerosene/paraffin
5
Diesel
6
Gas
7
Bottled gas, in tank, liquified
8
Solid fuel
9
Coal
10
Wood
11
Wood or coal
12
Solar
13
Animal dung
14
Charcoal
15
Other
16
Multiple sources
99
Unknown
FUELHEAT indicates the main fuel source for heating the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Hot water heater
Hot water heater
Hot water heater
Hot water heater
Hot water heater
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
HOTWATER indicates whether the housing unit had a water heater.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Computer
Computer
Computer
Computer
Computer
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
COMPUTER indicates whether the household had a personal computer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
PERNUM is a 3-digit numeric variable.
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.
MOMLOC is a 3-digit numeric variable.
0 = No mother of this person present in the household.
1 or higher = The person number of this person's mother
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.
POPLOC is a 3-digit numeric variable.
0 = No father of this person present in the household.
1 or higher = The person number of this person's father
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.
SPLOC is a 3-digit numeric variable.
0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouse
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
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).
FAMUNIT is a 2-digit numeric variable.
If there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on.
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
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
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
Department of residence 5 years ago, Uruguay
Department of residence 5 years ago, Uruguay
Department of residence 5 years ago, Uruguay
Department of residence 5 years ago, Uruguay
Department of residence 5 years ago, Uruguay
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
97
Abroad
98
Unknown
99
NIU (not in universe)
MIGUY2 indicates the person's department of residence within Uruguay five years prior to the census.
Migration 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
Children surviving
Children surviving
Children surviving
Children surviving
Children surviving
No children
1
1 child
2
2 children
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
CHSURV reports the number of children born to a woman who were still living at the time of the census.
Fertility and Mortality Variables -- PERSON
IPUMS
Year of immigration
Year of immigration
Year of immigration
Year of immigration
Year of immigration
NIU (not in universe)
1872
1872
1879
1879
1880
1880
1881
1881
1882
1882
1883
1883
1884
1884
1885
1885
1886
1886
1887
1887
1888
1888
1889
1889
1890
1890
1891
1891
1892
1892
1893
1893
1894
1894
1895
1895
1896
1896
1897
1897
1898
1898
1899
1899
1900
1900
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
1963
1963
1964
1964
1965
1965
1966
1966
1967
1967
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1978
1978
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1988
1988
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
9998
In transit
9999
Unknown
YRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated.
Nativity and Birthplace Variables -- PERSON
IPUMS
Years since immigrated
Years since immigrated
Years since immigrated
Years since immigrated
Years since immigrated
0 (within previous year)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97+
98
Unknown
99
NIU (not in universe)
YRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration.
Nativity and Birthplace Variables -- PERSON
IPUMS
Years since immigrated, categorized
Years since immigrated, categorized
Years since immigrated, categorized
Years since immigrated, categorized
Years since immigrated, categorized
1
Less than 1 year
2
1 to 4 years
3
5 to 9 years
4
10 or more years
8
Unknown
9
NIU (not in universe)
YRSIMM2 indicates the number of years since a foreign-born person immigrated to the country. The number of years is grouped into intervals.
Nativity and Birthplace 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
Sector of employment
Sector of employment
Sector of employment
Sector of employment
Sector of employment
NIU (not in universe)
10
Public
20
Private
21
Private, not elsewhere classified
22
Individual/family enterprise, and self-employed
23
Foreign
30
Mixed: public-private or parastatal
40
Collective or cooperative
50
Foreign government or non-governmental organization
60
Other, unspecified
61
Canal zone
62
Faith-based organization
99
Unknown
EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked.
Work Variables -- PERSON
IPUMS
Department of birth, Uruguay
Department of birth, Uruguay
Department of birth, Uruguay
Department of birth, Uruguay
Department of birth, Uruguay
NIU (not in universe)
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta y Tres
98
Abroad
99
Unknown
BPLUY indicates the person's department of birth within Uruguay.
Nativity and Birthplace Variables -- PERSON
IPUMS
School attendance
School attendance
School attendance
School attendance
School attendance
NIU (not in universe)
1
Yes
2
No, not specified
3
No, attended in the past
4
No, never attended
9
Unknown/missing
SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
Education Variables -- PERSON
IPUMS
Literacy
Literacy
Literacy
Literacy
Literacy
NIU (not in universe)
1
No, illiterate
2
Yes, literate
9
Unknown/missing
LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.
Education Variables -- PERSON
IPUMS
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
NIU (not in universe)
1
Employed
2
Unemployed
3
Inactive
9
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
NIU (not in universe)
100
Employed, not specified
110
At work
111
At work, and 'student'
112
At work, and 'housework'
113
At work, and 'seeking work'
114
At work, and 'retired'
115
At work, and 'no work'
116
At work, and other situation
117
At work, family holding, not specified
118
At work, family holding, not agricultural
119
At work, family holding, agricultural
120
Have job, not at work in reference period
130
Armed forces
131
Armed forces, at work
132
Armed forces, not at work in reference period
133
Military trainee
140
Marginally employed
200
Unemployed, not specified
201
Unemployed 6 or more months
202
Worked fewer than 6 months, permanent job
203
Worked fewer than 6 months, temporary job
210
Unemployed, experienced worker
220
Unemployed, new worker
230
No work available
240
Inactive unemployed
300
Inactive (not in labor force)
310
Housework
320
Unable to work/disabled
321
Permanent disability
322
Temporary illness
323
Disabled or imprisoned
330
In school
340
Retirees and living on rent
341
Living on rents
342
Living on rents or pension
343
Retirees/pensioners
344
Retired
345
Pensioner
346
Non-retirement pension
347
Disability pension
348
Retired without benefits
350
Elderly
351
Elderly or disabled
360
Institutionalized
361
Prisoner
370
Intermittent worker
371
Not working, seasonal worker
372
Not working, occasional worker
380
Other income recipient
390
Inactive, other reasons
391
Too young to work
392
Dependent
999
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
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.
OCC is a 4-digit numeric variable.
Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Please see the codes for: UY1996A_0439
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.
IND is a 5-digit numeric variable.
Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Please see the codes for: UY1996A_0446
Work Variables -- PERSON
IPUMS
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
10
Armed forces
111
Legislators
112
Senior government officials
113
Traditional chiefs and heads of villages
114
Senior officials of special-interest organizations
121
Directors and chief executives
122
Production and operations department managers
123
Other department managers
131
General managers
199
Legislators, senior officials and managers not elsewhere classified
211
Physicists, chemists and related professionals
212
Mathematicians, statisticians and related professionals
213
Computing professionals
214
Architects, engineers and related professionals
221
Life science professionals
222
Health professionals (except nursing)
223
Nursing and midwifery professionals
231
College, university and higher education teaching professionals
232
Secondary education teaching professionals
233
Primary and pre-primary education teaching professionals
234
Special education teaching professionals
235
Other teaching professionals
241
Business professionals
242
Legal professionals
243
Archivists, librarians and related information professionals
244
Social science and related professionals
245
Writers and creative or performing artists
246
Religious professionals
299
Professionals no elsewhere classified
311
Physical and engineering science technicians
312
Computer associate professionals
313
Optical and electronic equipment operators
314
Ship and aircraft controllers and technicians
315
Safety and quality inspectors
321
Life science technicians and related associate professionals
322
Modern health associate professionals (except nursing)
323
Nursing and midwifery associate professionals
324
Traditional medicine practitioners and faith healers
331
Primary education teaching associate professionals
332
Pre-primary education teaching associate professionals
333
Special education teaching associate professionals
334
Other teaching associate professionals
341
Finance and sales associate professionals
342
Business services agents and trade brokers
343
Administrative associate professionals
344
Customs, tax and related government associate professionals
345
Police inspectors and detectives
346
Social work associate professionals
347
Artistic, entertainment and sports associate professionals
348
Religious associate professionals
399
Technicians and assoicate professionals not elsewhere classified
411
Secretaries and keyboard-operating clerks
412
Numerical clerks
413
Material-recording and transport clerks
414
Library, mail and related clerks
419
Other office clerks
421
Cashiers, tellers and related clerks
422
Client information clerks
499
Clerks not elsewhere classified
511
Travel attendants and related workers
512
Housekeeping and restaurant services workers
513
Personal care and related workers
514
Other personal services workers
515
Astrologers, fortune-tellers and related workers
516
Protective services workers
521
Fashion and other models
522
Shop salespersons and demonstrators
523
Stall and market salespersons
599
Service workers and shop and market sales workers not elsewhere classified
611
Market gardeners and crop growers
612
Market-oriented animal producers and related workers
613
Market-oriented crop and animal producers
614
Forestry and related workers
615
Fishery workers, hunters and trappers
621
Subsistence agricultural and fishery workers
699
Skilled agricultural and fishery workers not elsewhere classified
711
Miners, shotfirers, stone cutters and carvers
712
Building frame and related trades workers
713
Building finishers and related trades workers
714
Painters, building structure cleaners and related trades workers
721
Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers
722
Blacksmiths, tool-makers and related trades workers
723
Machinery mechanics and fitters
724
Electrical and electronic equipment mechanics and fitters
731
Precision workers in metal and related materials
732
Potters, glass-makers and related trades workers
733
Handicraft workers in wood, textile, leather and related materials
734
Printing and related trades workers
741
Food processing and related trades workers
742
Wood treaters, cabinet-makers and related trades workers
743
Textile, garment and related trades workers
744
Pelt, leather and shoemaking trades workers
799
Craft and related trade workers not elsewhere classified
811
Mining- and mineral-processing-plant operators
812
Metal-processing-plant operators
813
Glass, ceramics and related plant operators
814
Wood-processing- and papermaking-plant operators
815
Chemical-processing-plant operators
816
Power-production and related plant operators
817
Automated-assembly-line and industrial-robot operators
821
Metal- and mineral-products machine operators
822
Chemical-products machine operators
823
Rubber- and plastic-products machine operators
824
Wood-products machine operators
825
Printing-, binding- and paper-products machine operators
826
Textile-, fur- and leather-products machine operators
827
Food and related products machine operators
828
Assemblers
829
Other machine operators and assemblers
831
Locomotive-engine drivers and related workers
832
Motor-vehicle drivers
833
Agricultural and other mobile-plant operators
834
Ships' deck crews and related workers
899
Other
911
Street vendors and related workers
912
Shoe cleaning and other street services elementary occupations
913
Domestic and related helpers, cleaners and launderers
914
Building caretakers, window and related cleaners
915
Messengers, porters, doorkeepers and related workers
916
Garbage collectors and related labourers
921
Agricultural, fishery and related labourers
931
Mining and construction labourers
932
Manufacturing labourers
933
Transport labourers and freight handlers
989
Elementary occupations not elsewhere classified
990
Other workers, not elsewhere classified
998
Unknown
999
NIU (not in universe)
ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification.
Work Variables -- PERSON
IPUMS
Educational attainment, Uruguay
Educational attainment, Uruguay
Educational attainment, Uruguay
Educational attainment, Uruguay
Educational attainment, Uruguay
NIU (not in universe)
100
None
200
Preschool
210
Preschool, less than 1 year
211
Preschool, year 1
212
Preschool, year 2
213
Preschool, year 3
214
Preschool, year unknown
215
Preschool, year unknown
300
Primary education
301
Primary education, less than 1 year
302
Primary education, grade 1
303
Primary education, grade 2
304
Primary education, grade 3
305
Primary education, grade 4
306
Primary education, grade 5
307
Primary education, grade 6
308
Primary education, grade unknown
400
Secondary education, first cycle
401
Secondary education, first cycle, less than 1 year
402
Secondary education, first cycle, grade 1
403
Secondary education, first cycle, grade 2
404
Secondary education, first cycle, grade 3
405
Secondary education, first cycle, grade 4
406
Secondary education, first cycle, grade unknown
410
Secondary education, second cycle
411
Secondary education, second cycle, less than 1 year
412
Secondary education, second cycle, grade 1
413
Secondary education, second cycle, grade 2
414
Secondary education, second cycle, grade 3
415
Secondary education, second cycle, grade unknown
500
Teacher school
501
Teacher school, less than 1 year
502
Teacher school, year 1
503
Teacher school, year 2
504
Teacher school, year 3
505
Teacher school, year 4
506
Teacher school, year 5
507
Teacher school, year 6
508
Teacher school, year 7
509
Teacher school, year 8
510
Teacher school, year unknown
511
Teacher school, completed
520
Agrarian
521
Agrarian, less than 1 year
522
Agrarian, year 1
523
Agrarian, year 2
524
Agrarian, year 3
525
Agrarian, year 4
526
Agrarian, year 5
527
Agrarian, year 6
528
Agrarian, year 7
529
Agrarian, year 8
530
Agrarian, year unknown
540
Industrial
541
Industrial, less than 1 year
542
Industrial, year 1
543
Industrial, year 2
544
Industrial, year 3
545
Industrial, year 4
546
Industrial, year 5
547
Industrial, year 6
548
Industrial, year 7
549
Industrial, year 8
550
Industrial, year unknown
560
Technical
561
Less than 1 year
562
Technical, year 1
563
Technical, year 2
564
Technical, year 3
565
Technical, year 4
566
Technical, year 5
567
Technical, year 6
580
Military/police
581
Military/police, less than 1 year
582
Military/police, year 1
583
Military/police, year 2
584
Military/police, year 3
585
Military/police, year 4
586
Military/police, year 5
587
Military/police, year 6
588
Military/police, year 7
589
Military/police, year 8
590
Military/police, year unknown
591
Military/police, completed
600
Post-secondary non-university
601
Less than 1 year
602
Post-secondary non-university, year 1
603
Post-secondary non-university, year 2
604
Post-secondary non-university, year 3
605
Post-secondary non-university, year 4
606
Post-secondary non-university, year 5
607
Post-secondary non-university, year 6
608
Post-secondary non-university, year 7
609
Post-secondary non-university, year 8
610
Year unknown
620
University of Work (UTU)
621
University of work, less than 1 year
622
University of work, year 1
623
University of work, year 2
624
University of work, year 3
625
University of work, year 4
626
University of work, year 5
627
University of work, year 6
628
University of work, year 7
629
University of work, year 8
630
University of work, year unknown
631
University of work, completed
640
Post-secondary not specified
700
University
701
University, less than 1 year
702
University, year 1
703
University, year 2
704
University, year 3
705
University, year 4
706
University, year 5
707
University, year 6
708
University, year 7
709
University, year 8+
710
University, year unknown
711
University, completed
800
Graduate school (master or Phd)
801
Less than 1 year
802
Graduate school (master or phd), year 1
803
Graduate school (master or phd), year 2
804
Graduate school (master or phd), year 3
805
Graduate school (master or phd), year 4
806
Graduate school (master or phd), year 5+
807
Graduate school (master or phd), year unknown
900
Other
901
Other, less than 1 year
902
Other, year 1
903
Other, year 2
904
Other, year 3
905
Other, year 4
906
Other, year 5
907
Other, year 6
908
Other, year 7
909
Other, year unknown
910
Other, completed
998
Unknown
EDUCUY indicates the person's educational attainment in terms of the level of schooling completed.
Education 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
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
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
This variable indicates the person number within the household.
Technical Person Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
2. Are you a man or a woman?
[] 1 Man
[] 2 Woman
All persons
1
Male
2
Female
This variable indicates the person's sex.
Demographic Variables -- PERSON
IPUMS
Relationship to the head of household
Relationship to the head of household
Relationship to the head of household
Relationship to the head of household
Relationship to the head of household
1. What relation or relationship do you have with the head of household?
[] 1 Head
[] 2 Spouse or companion
[] 3 Child
[] 4 Child of spouse [stepchild]
[] 5 Son/daughter in-law
[] 6 Grandchild
[] 7 Parent or mother/father in-law
[] 8 Other relative
[] 9 Domestic servant and children
[] 10 Not related
[] 11 Collective dwelling resident
All persons
1
Head
2
Spouse/companion
3
Child
4
Stepchild
5
Child in-law
6
Grandchild
7
Parent/parent in-law
8
Other relative
9
Domestic servant
10
Not related
11
Collective dwelling member
This variable indicates the person's relationship to the head of household.
Demographic Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
3. How old are you (in completed years)?
Write down the number and mark:
For those younger than 1 year: "00"
For those younger than 10 years: "01", "02", "03", etc. as necessary.
For those older than 99 years, "99"
____
All persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96+
This variable indicates the person's age.
Demographic Variables -- PERSON
IPUMS
Retired or pensioned
Retired or pensioned
Retired or pensioned
Retired or pensioned
Retired or pensioned
4. Are you retired or pensioned?
[] 1 Yes
[] 2 No
All persons
1
Yes
2
No
9
Unknown
This variable indicates if the person is retired or receiving a pension.
Other Person Variables -- PERSON
IPUMS
Full health coverage
Full health coverage
Full health coverage
Full health coverage
Full health coverage
5. Do you have any valid rights in any institution for attending to health?
In services of total coverage:
[] 1 Ministry of Public Health valid card
[] 2 Mutual, cooperative, medical, etc.
[] 3 Military health
[] 4 Police health
[] 5 Others of total coverage
[] 6 Does not have
6. And in services of partial coverage
[] 1 Family benefits
[] 2 Mobile emergency units
[] 3 Other partial insurance
[] 4 Does not have
All persons
1
Ministry of Public Health
2
Mutual or cooperative
3
Military health service
4
Police health service
5
Other
6
None
9
Unknown
This variable indicates the type of full health coverage that the person has access to.
Other Person Variables -- PERSON
IPUMS
Partial health coverage
Partial health coverage
Partial health coverage
Partial health coverage
Partial health coverage
5. Do you have any valid rights in any institution for attending to health?
In services of total coverage:
[] 1 Ministry of Public Health valid card
[] 2 Mutual, cooperative, medical, etc.
[] 3 Military health
[] 4 Police health
[] 5 Others of total coverage
[] 6 Does not have
6. And in services of partial coverage
[] 1 Family benefits
[] 2 Mobile emergency units
[] 3 Other partial insurance
[] 4 Does not have
All persons
1
Family benefits
2
Mobile emergencies
3
Other
4
None
9
Unknown
This variable indicates the type of partial health coverage that the person has access to.
Other Person Variables -- PERSON
IPUMS
Usual resident in household
Usual resident in household
Usual resident in household
Usual resident in household
Usual resident in household
7. In what locality or place do you live habitually?
[] 1 Here
[] In another place, (write down the department or country and locality)
Department or country: ____
Locality in Uruguay: ____
All persons
1
Yes
2
No
This variable indicates if the person usually lives in the household of enumeration.
Other Person Variables -- PERSON
IPUMS
Department/continent of usual residence
Department/continent of usual residence
Department/continent of usual residence
Department/continent of usual residence
Department/continent of usual residence
7. In what locality or place do you live habitually?
[] 1 Here
[] In another place, (write down the department or country and locality)
Department or country: ____
Locality in Uruguay: ____
All persons
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
30
South America
35
North America
40
Europe
50
Other continent
This variable indicates the person's department (in Uruguay) or continent of usual residence.
Migration Variables -- PERSON
IPUMS
Lived in same locality 5 years ago
Lived in same locality 5 years ago
Lived in same locality 5 years ago
Lived in same locality 5 years ago
Lived in same locality 5 years ago
8. In what locality or place did you live habitually five years ago on this date?
[] 1 Younger than age 5
[] 2 Here
Department or country: ____
Locality in Uruguay: ____
All persons
1
Yes
2
No
This variable indicates whether the person lived in the same locality five years prior to the census.
Migration Variables -- PERSON
IPUMS
Department/continent of residence 5 years ago
Department/continent of residence 5 years ago
Department/continent of residence 5 years ago
Department/continent of residence 5 years ago
Department/continent of residence 5 years ago
8. In what locality or place did you live habitually five years ago on this date?
[] 1 Younger than age 5
[] 2 Here
Department or country: ____
Locality in Uruguay: ____
All persons
Younger than 5 years old
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
30
South America
35
North America
40
Europe
60
Middle East
70
Asia
80
Oceania
90
Other continent
99
Unknown
This variable indicates the person's department (in Uruguay) or continent of residence five years prior to the census.
Migration Variables -- PERSON
IPUMS
Born in same locality
Born in same locality
Born in same locality
Born in same locality
Born in same locality
9. In what locality or place did you begin living when you were born?
[] 1 Here
[] In another place, write down the department or country and locality: ____
Department or country: ____
Locality in Uruguay: ____
All persons
1
Yes
2
No
This variable indicates whether the person was born in the same locality as the locality of enumeration.
Nativity and Birthplace Variables -- PERSON
IPUMS
Department/continent of birth
Department/continent of birth
Department/continent of birth
Department/continent of birth
Department/continent of birth
9. In what locality or place did you begin living when you were born?
[] 1 Here
[] In another place, write down the department or country and locality: ____
Department or country: ____
Locality in Uruguay: ____
All persons
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
30
South America
31
Caribbean
32
Central America
35
North America
40
Europe
60
Middle East
70
Asia
80
Oceania
90
Africa
98
Unknown
This variable indicates the person's department (in Uruguay) or continent of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
Year of arrival in Uruguay
Year of arrival in Uruguay
Year of arrival in Uruguay
Year of arrival in Uruguay
Year of arrival in Uruguay
10. If you reside in Uruguay and were born abroad, what year did you come to Uruguay to live?
19 _ _
Persons born abroad
21
1921 or earlier
22
1922
23
1923
24
1924
25
1925
26
1926
27
1927
28
1928
29
1929
30
1930
31
1931
32
1932
33
1933
34
1934
35
1935
36
1936
37
1937
38
1938
39
1939
40
1940
41
1941
42
1942
43
1943
44
1944
45
1945
46
1946
47
1947
48
1948
49
1949
50
1950
51
1951
52
1952
53
1953
54
1954
55
1955
56
1956
57
1957
58
1958
59
1959
60
1960
61
1961
62
1962
63
1963
64
1964
65
1965
66
1966
67
1967
68
1968
69
1969
70
1970
71
1971
72
1972
73
1973
74
1974
75
1975
76
1976
77
1977
78
1978
79
1979
80
1980
81
1981
82
1982
83
1983
84
1984
85
1985
86
1986
87
1987
88
1988
89
1989
90
1990
91
1991
92
1992
93
1993
94
1994
95
1995
96
1996
98
Unknown
99
NIU (not in universe)
This variable indicates the year that the person arrived to Uruguay from abroad.
Nativity and Birthplace Variables -- PERSON
IPUMS
Literacy
Literacy
Literacy
Literacy
Literacy
For all people age 3 or older
[Questions 11-15 were asked of persons age 3 or older]
11. Do you know how to both read and write?
If they only read or only write, mark "No".
[] 1 Yes
[] 2 No
Persons age 3+
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates if the person can read and write.
Education Variables -- PERSON
IPUMS
School attendance
School attendance
School attendance
School attendance
School attendance
For all people age 3 or older
[Questions 11-15 were asked of persons age 3 or older]
13. With respect to this education level, do you currently
[Question 13 was asked of persons age 3 or older who have attended school, as per question 12.]
[] 1 Attend a public establishment
[] 2 Attend a private establishment
[] 3 Abandoned your studies
[] 4 Finished the level
Persons age 3+ who have ever attended school
1
Attends public school
2
Attends private school
3
Did not finish level
4
Finished level
5
Attends, type unknown
6
Does not attend, type unknown
8
Unknown
9
NIU (not in universe)
This variable indicates the person's current school attendance status.
Education Variables -- PERSON
IPUMS
Highest educational level ever attended
Highest educational level ever attended
Highest educational level ever attended
Highest educational level ever attended
Highest educational level ever attended
For all people age 3 or older
[Questions 11-15 were asked of persons age 3 or older]
12. Of the following levels of education, what is the highest that you attended?
A.
[] 1 Never attended (go to 16)
[] 2 Preschool
[] 3 Primary
[] 4 High school or secondary basic cycle
B.
[] 5 Preparatory or secondary 2nd cycle
[] 6 University
[] 7 Teacher training
[] 8 Military or police career
Persons age 3+
1
Never attended
2
Preschool
3
Primary
4
Secondary, 1st cycle
5
Secondary, 2nd cycle
6
University
7
Teacher training
8
Military/police
98
Unknown
99
NIU (not in universe)
This variable indicates the highest educational level that the person has ever attended.
Education Variables -- PERSON
IPUMS
Last year completed/passed within education level
Last year completed/passed within education level
Last year completed/passed within education level
Last year completed/passed within education level
Last year completed/passed within education level
For all people age 3 or older
[Questions 11-15 were asked of persons age 3 or older]
14. How many years did you spend at this level?
[Question 14 was asked of persons age 3 or older who have attended school, as per question 12.]
____
Persons age 3+ who have ever attended school
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8+
98
Unknown
99
NIU (not in universe)
This variable indicates the last year that the person completed/passed within the highest education level.
Education Variables -- PERSON
IPUMS
Educational level and year completed
Educational level and year completed
Educational level and year completed
Educational level and year completed
Educational level and year completed
Educational level and year completed
Persons age 3+ who have ever attended school
200
Preschool, less than 1 year
201
Preschool, 1 year
202
Preschool, 2 years
203
Preschool, 3 years
204
Preschool, 4 years
205
Preschool, 5 years
206
Preschool, 6+ years
209
Preschool, unknown yrs
300
Primary, less than 1 year
301
Primary, 1 year
302
Primary, 2 years
303
Primary, 3 years
304
Primary, 4 years
305
Primary, 5 years
306
Primary, 6 years
307
Primary, 7 years
308
Primary, 8+ years
309
Primary, yrs unknown
400
Secondary, 1st cycle, less than 1 year
401
Secondary, 1st cycle, 1 year
402
Secondary, 1st cycle, 2 years
403
Secondary, 1st cycle, 3 years
404
Secondary, 1st cycle, 4 years
409
Secondary, 1st cycle, yrs unknown
500
Secondary, 2nd cycle, less than 1 year
501
Secondary, 2nd cycle, 1 year
502
Secondary, 2nd cycle, 2 years
503
Secondary, 2nd cycle, 3 years
509
Secondary, 2nd cycle, yrs unknown
600
University, less than 1 year
601
University, 1 year
602
University, 2 years
603
University, 3 years
604
University, 4 years
605
University, 5 years
606
University, 6 years
607
University, 7 years
608
University, 8 years
609
University, yrs unknown
700
Teaching school, less than 1 year
701
Teaching school, 1 year
702
Teaching school, 2 years
703
Teaching school, 3 years
704
Teaching school, 4 years
705
Teaching school, 5 years
706
Teaching school, 6 years
707
Teaching school, 7 years
708
Teaching school, 8 years
709
Teaching school, yrs unknown
800
Military/police, less than 1 year
801
Military/police, 1 year
802
Military/police, 2 years
803
Military/police, 3 years
804
Military/police, 4 years
805
Military/police, 5 years
806
Military/police, 6 years
807
Military/police, 7+ years
809
Military/police, yrs unknown
998
Unknown
999
NIU (not in universe)
This variable indicates the person's highest education level completed.
Education Variables -- PERSON
IPUMS
Field of studies [1-digit]
Field of studies [1-digit]
Field of studies [1-digit]
Field of studies [1-digit]
Field of studies [1-digit]
For all people age 3 or older
[Questions 11-15 were asked of persons age 3 or older]
15. What is the specialization or major area of study?
[Question 16 was asked of persons age 3 or older who have attended secondary second cycle, university, teacher training or military/police schools, per question 12.]
If you marked group "A" in question 12, go to question 16 if necessary.
Only for those in group "B" of question 12
____
Persons age 3+ who have ever attended secondary school, second cycle or higher
3
Secondary education, second cycle
5
Tertiary education to obtain certificate/diploma not equivalent to a university degree
6
Tertiary education to obtain certificate/diploma equivalent to a university degree
7
Tertiary education to obtain certificate/diploma equivalent to a post-graduate degree or its equivalent
8
Unknown
9
NIU (not in universe)
This variable indicates the person's field of study [1-digit].
Education Variables -- PERSON
IPUMS
Field of studies [3-digit]
Field of studies [3-digit]
Field of studies [3-digit]
Field of studies [3-digit]
Field of studies [3-digit]
For all people age 3 or older
[Questions 11-15 were asked of persons age 3 or older]
15. What is the specialization or major area of study?
[Question 16 was asked of persons age 3 or older who have attended secondary second cycle, university, teacher training or military/police schools, per question 12.]
If you marked group "A" in question 12, go to question 16 if necessary.
Only for those in group "B" of question 12
____
Persons age 3+ who have ever attended secondary school, second cycle or higher
301
General non-technical programs, secondary school
302
Programs in the sixth year of secondary school
514
Tertiary programs of training teaching personnel
518
Tertiary programs of fine arts and applied arts
526
Tertiary programs of religion and theology
538
Tertiary programs of law
550
Tertiary programs of physiotherapy and occupational therapy
566
Tertiary programs of home economics
589
Tertiary education to obtain certificate/diploma not equivalent to a university degree, nfs.
614
University programs of educational sciences and the formation of educational personnel
618
University programs of fine arts and applied arts
622
University programs of the humanities
630
University programs of social and behavioral sciences
634
University programs of business administration and similar
638
University programs of law
642
University programs of natural sciences
646
University programs of mathematics and computer science
650
University programs of medical diagnostics and treatment
654
University programs of engineering
658
University programs of architecture and urbanism
662
University programs of agriculture, forestry and fishing education
684
University programs of communication and of social documentation
689
Tertiary education to obtain certificate/diploma equivalent to a university degree, nfs.
699
Other university or tertiary
734
Post-graduate programs of business administration and similar
750
Post-graduate programs of medical sciences
799
Other post-graduate
998
Unknown
999
NIU (not in universe)
This variable indicates the person's field of study [3-digit].
Education Variables -- PERSON
IPUMS
Technical education
Technical education
Technical education
Technical education
Technical education
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
16. Do you currently attend or did you attend technical or commercial studies of 6 months or more?
Mark only the principal.
[] Yes
[] 1 In U.T.U.
[] 2 In another public institute
[] 3 In a private institute
[] 4 No (go to question 20)
Persons age 12+
1
University of work (UTU)
2
Yes, other public institute
3
Yes, private institute
4
No
9
NIU (not in universe)
This variable indicates if the person has attended any technical (vocational) education.
Education Variables -- PERSON
IPUMS
Attendance status at technical school
Attendance status at technical school
Attendance status at technical school
Attendance status at technical school
Attendance status at technical school
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
17. With respect to this course, currently you...
[Question 17 was asked of persons age 12 or older who have ever attended technical or commercial studies lasting 6 months or more, as per question 16.]
[] 1 Attend
[] 2 Abandoned your studies
[] 3 Finished your studies
Persons age 12+ who have ever attended technical school
1
Attends
2
Left before completion (abandoned)
3
Finished
8
Unknown
9
NIU (not in universe)
This variable indicates the person's attendance status at technical school.
Education Variables -- PERSON
IPUMS
Years completed in technical school
Years completed in technical school
Years completed in technical school
Years completed in technical school
Years completed in technical school
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
18. How many years did you study in this course?
[Question 17 was asked of persons age 12 or older who have ever attended technical or commercial studies lasting 6 months or more, as per question 16.]
____
Persons age 12+ who have ever attended technical school
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
98
Unknown
99
NIU (not in universe)
This variable indicates the number of years of technical education that the person has completed.
Education Variables -- PERSON
IPUMS
Field of technical or vocational studies (5-digit)
Field of technical or vocational studies (5-digit)
Field of technical or vocational studies (5-digit)
Field of technical or vocational studies (5-digit)
Field of technical or vocational studies (5-digit)
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
19. What is the technical or commercial study attended?
[Question 17 was asked of persons age 12 or older who have ever attended technical or commercial studies lasting 6 months or more, as per question 16.]
____
Persons age 12+ who have ever attended technical school
21412
Programs in training preschool and kindergarten aids
23401
General programs of commercial education
23404
Programs of typing and shorthand
23499
Other programs of commercial education
24626
Programs of electronic data processing
25000
Basic programs in training health aid personnel
25212
Programs related to jobs in the food industry
25216
Programs related to jobs in the industry of construction, operators qualified in construction painting
25222
Programs related to jobs in electricity
25232
Programs related to jobs in the metal industry, qualified operator welding and forging of metals
25242
Programs related to mechanics and mechanical repair
25262
Programs related to jobs with wood
25264
Programs related to heating, air conditioning and refrigeration
25272
Programs related to jobs with leather
25274
Programs related jobs with textiles
25276
Programs related to jobs in the industry of tailoring and similar industries
25278
Programs of graphic arts and binding
25286
Programs of jewelry
25289
Programs of handicrafts
25299
Other programs of arts and industrial crafts
26202
Programs of agricultural education
26600
Basic programs of home economics
27000
Basic programs of transportation
27812
Programs of hairdressing and personal esthetics
27899
Other programs related to the service sector
28962
Programs of physical education
31412
Programs in training teachers of preschool education and kindergarten
31804
Programs of painting and drawing
31842
Programs of photography and cinematography
31899
Other programs of fine arts and applied arts
33401
General programs of commercial education
33404
Secretary programs
33422
Programs related to the management of office machinery
33432
Programs of bookkeeping
33439
Other programs of commercial education
34626
Programs of the treatment of electronic information
34641
Programs in training computer science technicians
35002
Qualified programs in training auxiliary health personnel
35012
Qualified programs in training nursing personnel
35052
Programs of pharmacy
35212
Programs related to the industry of food and beverages
35216
Programs related to jobs in the construction industry
35222
Programs related to jobs in the electrical and electronic industries
35232
Programs related to metal jobs
35242
Programs related to machinery and repairing machinery
35262
Programs related to jobs with wood
35264
Programs related to heating, air conditioning and refrigeration
35274
Programs related to textile jobs
35276
Programs related to the industry of tailoring and similar industries
35278
Programs of graphic arts and binding
35282
Programs in training laboratory aids
35406
Programs of industrial drafting
35416
Programs in training technicians for public works
35422
Programs in training technicians of electricity and electronics
35499
Other programs in training technicians
36201
General programs of architecture
36249
Other agricultural programs
36600
Qualified programs of home economics
37029
Other programs related to communication
37099
Other programs related to transportation and communication
37812
Programs of haridressing and personal aesthetics
37822
Programs of hotels and restaurants
37872
Tourism programs
37899
Other programs related to the service sector
38400
Qualified programs of social communication
38904
Journalism programs
51412
Programs in training specialized teaching personnel in preschool and kindergarten
51832
Programs of dramatic art
53052
Programs of psychology
55422
Programs of electric and electronic technicians
56601
General programs of home economics
91801
General programs of fine arts and applied arts
91822
Music programs
91899
Other programs of fine arts and applied arts
92600
Programs of religion and theology
96200
Programs of agricultural, forestry and fishing education
97800
Programs related to the service sector
99000
Programs in training laboratory aids
99998
Unknown
99999
NIU (not in universe)
This variable indicates the person's field of technical or vocational studies [5-digit].
Education Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
20. What is your de facto current marital state?
[] 1 Consensual union
[] 2 Married
[] 3 Divorced
[] 4 Separated from union or marriage
[] 5 Widowed from union or marriage
[] 6 Single
Persons age 12+
1
Consensual union
2
Married
3
Divorced
4
Separated
5
Widowed
6
Single
9
NIU (not in universe)
This variable indicates the person's marital status.
Demographic Variables -- PERSON
IPUMS
Worked for at least an hour
Worked for at least an hour
Worked for at least an hour
Worked for at least an hour
Worked for at least an hour
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
21. During the past week, did you work at least one hour?
[] 1 Yes
[] 2 No
Persons age 12+
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates if the person worked for at least an hour during the previous week.
Work Variables -- PERSON
IPUMS
Worked without pay
Worked without pay
Worked without pay
Worked without pay
Worked without pay
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
22. Last week, did you do something outside your house for work or did you help someone in a business, small farm or job, even though you did not receive a regular payment?
[] 1 Yes
[] 2 No
Persons age 12+ who did not work for pay an hour in the previous week
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates if the person worked without pay during the previous week.
Work Variables -- PERSON
IPUMS
Absent from work
Absent from work
Absent from work
Absent from work
Absent from work
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
23. Last week, were you on leave for sickness, vacation, suspended, etc. although you still have a job?
[] 1 Yes
[] 2 No
Persons age 12+ who did not work an hour in the previous week, with or without pay
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates the person had work but was absent from it during the previous week.
Work Variables -- PERSON
IPUMS
Looked for work
Looked for work
Looked for work
Looked for work
Looked for work
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
24. During the last four weeks, were you looking for work?
[] 1 Yes
[] 2 No
Persons age 12+ who did not work or have a job in the previous week
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates if the person looked for work during the previous four weeks.
Work Variables -- PERSON
IPUMS
Ever worked
Ever worked
Ever worked
Ever worked
Ever worked
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
25. Have you ever worked?
[] 1 Yes
[] 2 No
Persons age 12+ who were looking for work during the previous four weeks
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates if the person has ever worked.
Work Variables -- PERSON
IPUMS
Occupation (ISCO 88, 1 digit)
Occupation (ISCO 88, 1 digit)
Occupation (ISCO 88, 1 digit)
Occupation (ISCO 88, 1 digit)
Occupation (ISCO 88, 1 digit)
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
26. What is the occupation, profession or office that provides (or provided) you the largest income? ________
Persons age 12+ who had a job or were experienced and looking for work
Armed forces
1
Members of the executive powers and the legislative bodies and directive personnel of the public administration and businesses
2
Scientific and intellectual professionals
3
Mid-level technicians and professionals
4
Office employees
5
Workers in services and vendors in commercial businesses and markets
6
Farmers and qualified agricultural workers and fishermen
7
Officials, operators, and artisans in mechanical arts and other jobs
8
Operators of installations and machinery and assemblers
9
Non-specialized workers
99
NIU (not in universe)
This variable indicates the person's occupation (ISCO 88, 1 digit).
Work: Occupation Variables -- PERSON
IPUMS
Occupation (ISCO 88, 2 digits)
Occupation (ISCO 88, 2 digits)
Occupation (ISCO 88, 2 digits)
Occupation (ISCO 88, 2 digits)
Occupation (ISCO 88, 2 digits)
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
26. What is the occupation, profession or office that provides (or provided) you the largest income? ________
Persons age 12+ who had a job or were experienced and looking for work
1
Armed forces
11
Members of executive power and legislative bodies and directive personnel of public administration
12
Directors of businesses
13
Owner or managers of small business
21
Professionals of physical science, chemstry, mathematics and engineering
22
Professionals of biological sciences and other disciplines related to organic beings
23
Professionals of education
24
Other scientific and intellectual professionals
31
Technicians and professionals of the middle level of physical sciences and chemistry, and in engineering
32
Technicians and professionals of the middle level of biological sciences, medicine and health
33
Non degreed teachers and instructors
34
Other technicians and professionals of the middle level
41
Office workers
42
Employees in direct trade with the public
51
Workers in personnel services and services of protection and security
52
Models, sellers and demonstrators
61
Qualified farmers and workers of agricultural and livestock, forestry and fishing meant for commerce
71
Officials and operators of extractive industries and of construction
72
Officials and operators of metal work, mechanical construction and similar fields
73
Precision mechanics, craftsmen, operators of graphic arts and similar workers
74
Other officials, operators and craftsmen of mechanical arts and other crafts
81
Operators of fixed installations and similar workers
82
Operators of machines and fitters/assemblers
83
Drivers of vehicles and operators of heavy mobile equipment
91
Non skilled workers
92
Agricultural and livestock production, forestry and fishing and similar workers
93
Workers in mining, construction, the manufacturing industry and transportation
98
Unknown
99
NIU (not in universe)
This variable indicates the person's occupation (ISCO 88, 2 digits).
Work: Occupation Variables -- PERSON
IPUMS
Occupation (ISCO 88, 3 digits)
Occupation (ISCO 88, 3 digits)
Occupation (ISCO 88, 3 digits)
Occupation (ISCO 88, 3 digits)
Occupation (ISCO 88, 3 digits)
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
26. What is the occupation, profession or office that provides (or provided) you the largest income? ________
Persons age 12+ who had a job or were experienced and looking for work
11
Officials of the armed forces
12
Subordinate personnel of the armed forces
112
Directive personnel of public administration
121
Directors and general managers of business
122
Managers of departments of productions and operations
123
Other department managers
131
Owner or managers of small business
211
Physicists, chemists, and similar workers
213
Computer science professionals
214
Architects, engineers and similar workers
221
Professionals in biological sciences and other disciplines related to organic beings
222
Doctors and similar professionals (except nursing personnel and midwives)
223
Nursing and midwife personnel of the superior level
231
Professors of universities and other establishments of higher education
232
Professors of secondary education
233
Teachers with degrees in primary education and preschool
234
Specialized teachers of special education
235
Other teaching professionals
241
Specialists in organization and administration of businesses and similar workers
242
Professionals in law
243
Archivists, librarians, documentalists and similar workers
244
Specialists in social and human sciences
245
Writers, creative artists and performers
246
Priests in different religions
311
Technicians in physical sciences and chemistry and engineering
312
Technicians in computer programming and control of informatics
313
Operators of optical and electronic equipment
314
Technicians in maritime and aeronautical navigation
315
Inspectors of construction projects, security and health and quality control
321
Technicians of the middle level in biological sciences, agronomy, zoo technology and similar workers
322
Professionals of the middle level of modern medicine and health (excluding nursing and midwife personnel)
323
Nursing and midwife personnel of the middle level
331
Teachers without degrees in primary education
332
Teachers without degrees in preschool education
341
Professionals of the middle level in financial and commercial operations
342
Commercial agents and stockbrokers
343
Professionals of the middle level of administrative services
344
Agents of public administrations of customs, taxes and similar workers
346
Mid-level social workers and assistants
347
Mid-level professionals of artistic activities, show businesses and sports
411
Secretaries and operators of office machinery
412
Auxiliary accountants and financiers
413
Employees charged with registering materials and transportation
414
Employees in libraries and postal services and similar workers
419
Other office workers
421
Cashiers, box office clerks and similar workers
422
Employees of services of information to clientele
511
Personnel in direct passenger services
512
Personnel of Intendancy and of restaurants
513
Workers of personal care and similar workers
514
Other workers of personal services to individuals
516
Personnel of protection and security services
522
Sellers and demonstrators for shops and department stores
523
Vendors in kiosks and market stalls
611
Farmers and qualified agricultural workers of crops for the market
612
Breeders and qualified livestock production workers in the raising of animals for the market and similar workers
613
Producers and qualified agricultural and livestock production workers whose production is meant for the market
614
Qualified forest workers and related workers
615
Fishermen, hunters and trappers
711
Miners, quarrymen, breakers and stone workers
712
Officials and operators of construction (structural work) and similar workers
713
Officials and operators of construction (finished works) and similar workers
714
Painters, cleaners of facades and similar workers
721
Molders, welders, laminators, boilermakers, fitters of metallic structures and similar workers
722
Blacksmiths, toolmakers and similar workers
723
Mechanics and machine adjusters
724
Mechanics and adjusters of electrical and electronic equipment
731
Precision mechanics in metals and similar materials
732
Potters, operators of glassworks and similar workers
733
Craftsmen of wood, fabric and similar materials
734
Officials and operators of graphic arts and similar workers
741
Officials and operators in the processing of food and similar workers
742
Officials and operators in the treatment of wood, cabinet makers and similar workers
743
Officials and operators of textiles and tailoring and similar workers
744
Officials and operators of fur, leather and footwear
812
Operators of installations for metal processing
813
Operators of installations of glassworks, ceramics and similar workers
814
Operators of installations for processing wood and paper manufacture
815
Operators of installations for chemical treatment
816
Operators of installations for energy production and similar workers
817
Operators of automatic assembly lines and of industrial robots
821
Operators of machines for working metals and chemical products
822
Operators of machines for manufacturing chemical products
823
Operators of machines for manufacturing rubber products and plastic materials
825
Operators of machines for printing, binding and manufacturing paper products
826
Operators of machines for manufacturing textile products and articles of leather and fur
827
Operators of machinery for manufacturing foods and similar products
828
Fitters
829
Other machine operators and fitters
831
Machinists of locomotives and similar workers
832
Drivers of motor vehicles
833
Operators of mobile agricultural machinery and other mobile machines
834
Deckhands and similar workers
911
Street salesmen and women and similar workers
912
Shoe shiners and other street workers
913
Domestic personnel and similar workers, cleaners, washers and ironers
914
Superintendents, window cleaners and similar workers
915
Messengers, porters, doormen and women and similar workers
916
Trash collectors and similar workers
917
Non qualified workers in personal services
921
Agricultural and livestock production and forestry and fishing workers and similar workers
931
Workers of mining and construction
932
Workers in the manufacturing industry
933
Transportation workers
990
Response suppressed, have occupation
998
Unknown
999
NIU (not in universe)
This variable indicates the person's occupation (ISCO 88, 3 digits).
Work: Occupation Variables -- PERSON
IPUMS
Industry (ISIC 3, 2 digits)
Industry (ISIC 3, 2 digits)
Industry (ISIC 3, 2 digits)
Industry (ISIC 3, 2 digits)
Industry (ISIC 3, 2 digits)
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
27. What does the place or establishment where you work (or worked) principally do? ________
Persons age 12+ who had a job or were experienced and looking for work
1
Agriculture, ranching, hunting, and related activities
2
Forestry, lumber extraction and related service activities
5
Fishing, fish breeding production and fish farms; service activities related to fishing
11
Extraction of crude petroleum and natural gas, services related to extraction
12
Extraction of uranium and thorium minerals
14
Extraction from mines and quarries
15
Manufacture of food and beverage products
16
Manufacture of tobacco products
17
Manufacture of textile products
18
Manufacture of clothing and dyeing furs
19
Leather tanning, manufacture of suitcases, handbags, leather goods and harness, and footwear
20
Production of wood and manufacture of wood and cork products, except furniture, manufacture of articles mace of cane, wicker, cork and braidable materials
21
Manufacture of paper and paper products
22
Activities of binding, editing, printing and reproduction of engravings
23
Manufacture of diverse products derived from petroleum and coal
24
Manufacture of chemical substances and products
25
Manufacture of rubber and plastic products
26
Manufacture of other non-metallic mineral products
27
Basic metallic industries (common metals)
28
Manufacture of metallic products, machinery and equipment
29
Manufacture of machinery except electrical machinery
31
Manufacture of electrical machinery and equipment not in another category
33
Manufacture of medical, optical, and prescient instruments, and clock manufacture (watch manufacture)
34
Manufacture of automotive vehicles, tow vehicles and semi trucks
35
Manufacture of other types of terrestrial transportation equipment
36
Manufacture of furniture, manufacturing industries not included in another category
40
Distribution of electricity, gas, vapor and hot water
41
Water collection, purification and distribution
45
Construction
50
Sale, maintenance and repair of automotive vehicles and motorcycles, retail sales of automobile fuels
51
Wholesale and commission sales, except commerce of automobiles and motorcycles
52
Retail commerce, except commerce of automobiles and motorcycles, repair of personal goods and household equipment
55
Hotels and restaurants
60
Terrestrial transportation and pipeline transportation
61
Transportation via aqueducts
62
Transportation via air
63
Activities of transportation that are complimentary and auxiliary; activities of travel agencies
64
Postal services and telecommunications
65
Financial intermediation, except financing insurance and pension plans
66
Insurance and pension plans, except social security plans with obligatory affiliation
67
Support activities for financial intermediation
70
Real estate activities
71
Rental of machinery and equipment, except personal goods and household equipment
72
Informatics and related activities
73
Research and development
74
Services provided to businesses, except leasing and renting machinery and equipment
75
Public administration and defense
80
Education
85
Activities related to human health
90
Elimination of waste products and waste waters, sanitation and similar activities
91
Commercial, professional, labor and other associations
92
Entertainment, recreation, and cultural services
93
Other service activities
95
Private homes with domestic service
96
Extraterritorial organizations and bodies
97
Response suppressed
98
Unknown
99
NIU (not in universe)
This variable indicates the industry that the person works or has worked in (ISIC 3, 2 digits).
Work: Industry Variables -- PERSON
IPUMS
Industry (ISIC 3, 3 digits)
Industry (ISIC 3, 3 digits)
Industry (ISIC 3, 3 digits)
Industry (ISIC 3, 3 digits)
Industry (ISIC 3, 3 digits)
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
27. What does the place or establishment where you work (or worked) principally do? ________
Persons age 12+ who had a job or were experienced and looking for work
10
Agriculture, ranching, hunting, and related activities, nfs.
11
General crop production
12
Animal breeding
13
Cultivation of agricultural products in combination with animal breeding (mixed production)
14
Service activities related to agriculture and cattle ranching, except veterinary activities
20
Forestry, lumber extraction and related service activities
50
Fishing, fish breeding production and fish farms; service activities related to fishing
140
Extraction from mines and quarries, industry nfs.
141
Extraction of stone, sand, and clay
150
Manufacture of food and beverage products, nfs.
151
Production, processing and preservation of meat, fish, fruits, vegetables, oils, and fats
152
Preparation of dairy products
153
Preparation of milled products, starches, and products derived from starches, and food prepared for animals
154
Manufacture of other food products
155
Manufacture of beverages
160
Tobacco industry
170
Manufacture of textile products, nfs.
171
Thread production, weaving, and finishing textile products
172
Manufacture of other textile products
173
Manufacture of woven products and knit products
181
Manufacture of clothing, except leather clothing
191
Leather tanning, manufacture of suitcases, handbags, leather goods and harnesses
192
Footwear manufacture
200
Production of wood and manufacture of wood and cork products, except furniture, manufacture of articles mace of cane, wicker, cork and braidable materials, industry nfs.
201
Sawmills, wood finishing, parquet manufacture
202
Manufacture of products made of wood, cork, straw, and braidable materials
210
Manufacture of paper and paper products
221
Activities related to binding, printing, editing, and reproductions on paper
232
Manufacture of products derived from petroleum refining
240
Manufacture of chemical substances and products, industry nfs.
241
Manufacture of basic chemical substances
242
Manufacture of other chemical products
251
Manufacture of rubber products
252
Manufacture of plastics products
261
Manufacture of glass and glass products
269
Manufacture of non-metallic mineral products
270
Basic industries of iron, steel and non-ferrous metals
280
Manufacture of metallic products, machinery and equipment, industry nfs.
281
Manufacture of metallic products, except machinery and equipment
289
manufacture of other metallic products; service activities related to metal works
290
Manufacture of machinery except electrical machinery, industry nfs.
291
Manufacture of machinery for general use
292
Manufacture of machinery for specialized uses
293
Manufacture of appliances for domestic use, not included in another category
310
Manufacture of electrical machinery and appliances not included in another category
330
Manufacture of medical appliances and instruments, appliances for measuring, verifying, drafting, and other uses
340
Manufacture of automotive vehicles
351
Construction and repair of naval and other ships
359
Manufacture of other types of transportation not included in another category
361
Furniture manufacture
369
Manufacturing industries not included in another category
401
Generation, collection and distribution of electrical energy
402
Gas production and distribution
410
Water collection, purification and distribution
452
Construction of buildings; civil engineering works
453
Building fitting
454
Building finishing
500
Sale, maintenance and repair of automotive vehicles and motorcycles, retail sales of automobile fuels, nfs.
501
Sale of automotive vehicles
502
Maintenance and repair of automotive vehicles
503
Sale of parts, pieces, and accessories for automotive vehicles
504
Commerce, maintenance and repair of motorcycles and motorcycle parts, pieces and accessories
505
Retail commerce of automobile fuels
510
Wholesale and commission sales, except commerce of automobiles and motorcycles, nfs.
511
Wholesale commerce in exchange for payment or under contract
512
Wholesale commerce of raw agricultural materials, live animals, food, beverages, and tobacco
513
Wholesale commerce of household goods
514
Wholesale commerce of non-agricultural intermediate products, waste products and discarded materials
515
Wholesale commerce of machinery, equipment and materials
519
Wholesale commerce of other products
520
Retail commerce, except commerce of automobiles and motorcycles, repair of personal goods and household equipment, nfs.
521
Retail commerce of combined goods, include supermarkets, shopping cooperatives, large stores, etc.
522
Retail commerce of food, beverages, tobacco in specialized stores
523
Retail commerce of other new products in specialized stores
524
Retail commerce in used goods stores
525
Retail commerce not carried out in stores
526
Repair of personal goods and household equipment
551
Hotels, camps, and other types of temporary housing
552
Restaurants, bars, and cantinas
600
Terrestrial transportation and pipeline transportation, nfs.
601
Railroad transportation
602
Other types of terrestrial transportation
611
Maritime and coastal transportation
621
Regular air transportation
630
Complementary and support activities for transportation, activities of travel agencies
641
Postal and mail activities
642
Telecommunications
650
Financial intermediation, except financing insurance and pension plans, nfs.
651
Banks and banking houses
659
Other types of financial intermediation
660
Life insurance, pensions and general insurance, except social security with obligatory affiliation
671
Support activities of financial intermediation, except financing insurance plans and pension plans
672
Support activities of insurance and pensions
700
Real estate activities carried out with personal property or properties of third parties
711
Rental of transportation equipment
713
Rental of personal goods and household equipment not included in another category
722
Consultants in informatics programs and administration of informatics programs
723
Data processing
725
Maintenance and repair of office, accounting, and informatics machinery
730
Experimental research and development in the fields of natural sciences, social sciences, and humanities
740
Services provided to businesses, except leasing and renting machinery and equipment, nfs.
741
Judicial and accounting activities, bookkeeping and auditing, consulting, market studies and opinion poll taking
742
Activities of architecture and engineering and other technical activities
743
Publicity
749
Business activities not included in another category
751
State administration and application of economic and social politics of the community
752
Activities of foreign relations, defense and maintenance of public order
753
Activities of organisms of social security with obligatory affiliation
800
Education, not further specified
801
Preschool education, elementary education, and special education for the disabled
802
Secondary, technical, and commercial education
803
Higher education
809
Adult education and other types of education
851
Human health services
852
Veterinary activities
853
Social services activities
900
Elimination of waste and residual waters, sanitation and similar activities
911
Business associations and professional associations
912
Labor unions and organizations
919
Other associations
921
Activities of movies, radio and television and other entertainment activities
923
Libraries, archives, and museums and other cultural activities
924
Sports activities (sports clubs)
930
Other service activities
950
Private households with domestic servants
970
Extraterritorial organizations and organisms
990
Response suppressed
998
Unknown
999
NIU (not in universe)
This variable indicates the industry that the person works or has worked in (ISIC 3, 3 digits).
Work: Industry Variables -- PERSON
IPUMS
Employment type
Employment type
Employment type
Employment type
Employment type
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
28. Of the following, what is (was) your category in the occupation you indicated?
[] 1 Employer, with workers or employees in their charge
[] 2 Public worker or employee
[] 3 Private worker or employee
[] 4 Worker for their own account
[] 5 Non-remunerated family worker
[] 6 Member of production cooperative
[] 7 Other
Persons age 12+ who had a job or were experienced and looking for work
1
Employer
2
Public employee
3
Private employee
4
Own account
5
Unpaid family worker
6
Cooperative worker
7
Other
8
Unknown
9
NIU (not in universe)
This variable indicates the person's type of employment.
Work Variables -- PERSON
IPUMS
Children born alive
Children born alive
Children born alive
Children born alive
Children born alive
For all women age 15 or older
[Questions 29-31 were asked of women age 15 or older]
29. How many children born alive have you had altogether?
____
[] Do not know
Females age 15+
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+
99
NIU (not in universe)
This variable indicates the number of children that the woman has ever borne that are still alive.
Fertility and Mortality Variables -- PERSON
IPUMS
Children currently alive
Children currently alive
Children currently alive
Children currently alive
Children currently alive
For all women age 15 or older
[Questions 29-31 were asked of women age 15 or older]
30. Of those children, how many are currently alive?
____
[] Do not know
Females age 15+
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
99
NIU (not in universe)
This variable indicates the number of children that the woman has ever borne that are still alive.
Fertility and Mortality Variables -- PERSON
IPUMS
Births in the past 12 months
Births in the past 12 months
Births in the past 12 months
Births in the past 12 months
Births in the past 12 months
For all women age 15 or older
[Questions 29-31 were asked of women age 15 or older]
31. How many were born in the last twelve months?
[] 1 One
[] 2 Two or more
[] 3 None
Females age 15+
None
1
1
2
2+
9
NIU (not in universe)
This variable indicates the number of children that the woman has borne during the previous 12 months.
Fertility and Mortality Variables -- PERSON
IPUMS
Employment status
Employment status
Employment status
Employment status
Employment status
For all people age 12 or older
[Questions 16-28 were asked of persons age 12 or older]
21. During the past week, did you work at least one hour?
[] 1 Yes
[] 2 No
Persons age 12+
1
Employed
2
Unemployed, worked before
3
Looked for the first time
4
Student
5
Retired/pensioner
6
Other
7
Inactive, without further specification
8
Unknown
9
NIU (not in universe)
This variable indicates the person's employment status.
Work Variables -- PERSON
IPUMS
Number of years of study
Number of years of study
Number of years of study
Number of years of study
Number of years of study
Number of years of study
Persons age 3+
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20+
98
Unknown
99
NIU (not in universe)
This variable indicates the number of years that the person has ever studied.
Education 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.
PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Person 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
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
99
Unknown/missing
MIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available.
Migration 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
Country of birth
Country of birth
Country of birth
Country of birth
Country of birth
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11051
Ethiopia (including Eritrea)
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11990
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12990
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13011
Algeria/Tunisia
13020
Egypt
13021
Egypt/Sudan
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13990
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14990
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15021
Upper Volta
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15081
Guinea-Bissau and Cape Verde
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15990
West Africa, n.s.
19990
Africa, other and n.s.
19991
Central and South Africa
19992
East and Central Africa
19993
Southeastern Africa
19994
Saharan Africa
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St Thomas
21240
St. Vincent
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21990
Other Caribbean and n.s.
21991
Caribbean commonwealth, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22990
Central America, n.s.
22991
Central America and Caribbean
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23990
South America, other and n.s.
23991
South America or Central America, n.s.
23992
Central/South America and Caribbean
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24990
North America, other and n.s.
24991
North America/Oceania
29990
Americas, other and n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
31990
Eastern Asia, n.s.
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32041
India/Pakistan
32042
India/Pakistan/Bangladesh/Sri Lanka
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32101
Pakistan/Bangladesh
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
32999
South-Central Asia, n.s.
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33030
East Timor
33040
Indonesia
33050
Laos
33060
Malaysia
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
33990
South-Eastern Asia, n.s.
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34071
Israel/Palestine
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestinian Territories
34111
West Bank
34112
Gaza Strip
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34151
Syria/Lebanon
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34990
Western Asia, n.s.
34991
Middle East
39990
Asia, other and n.s.
39991
Central Asia and Middle East, n.s.
39992
Far East, n.s.
39993
Eastern/Southeast Asia, n.s.
39994
Asia/Middle East, other and n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41021
Bulgaria/Greece
41030
Czech Republic/Czechoslovakia
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41990
Eastern Europe, other and n.s.
41991
Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia
41992
Central-Eastern Europe
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42100
Svalbard and Jan Mayen Islands
42110
Sweden
42120
United Kingdom
42990
Northern Europe, n.s.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia and Herzegovina
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43071
Vatican City
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43121
Spain/Portugal
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43143
Serbia and Montenegro
43144
Kosovo
43990
Southern Europe, n.s.
43991
Gibraltar/Malta
43992
Portugal/Greece
43993
Italy, Holy See, San Marino
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxemburg
44022
Belgium/Netherlands/Luxemburg
44030
France
44040
Germany
44041
Germany/Austria
44042
West Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44990
Western Europe, n.s.
44991
Belgium, Denmark, Luxembourg, Netherlands
49991
Turkey and U.S.S.R.
49992
European Union
49993
European Union (Original 15)
49994
Other European Union
49995
EEA, Switzerland, associated microstates
49999
Europe, other and n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
52999
Melanesia, n.s.
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53990
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Eastern Samoa
54070
Tokelau
54080
Tonga
54090
Tuvalu
54100
Wallis and Futuna Isls.
54990
Polynesia, n.s.
55000
U.S. Pacific Possessions
55010
American Samoa
55020
Baker Island
55030
Guam
55040
Howland Island
55050
Johnston Atoll
55060
Kingman Reef
55070
Midway Islands
55080
Wake Island
55990
Other US Pacific
59990
Oceania, n.s.
60000
OTHER ABROAD
60100
U.S. Outlying Areas and Territories
60200
Africa/Other
60300
Central/South America or Africa
60400
Asia/Africa
60500
Europe, Australia, New Zealand
60600
Other commonwealth
60700
Asia, Australia, Oceania, n.s.
69900
Other countries, not specified
99999
Unknown
BPLCOUNTRY indicates the person's country of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
Number of births last year
Number of births last year
Number of births last year
Number of births last year
Number of births last year
None
1
1 (1 or more)
2
2
3
3
4
4+
8
Unknown
9
NIU (not in universe)
BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months.
Fertility and Mortality Variables -- PERSON
IPUMS
Country of residence 5 years ago
Country of residence 5 years ago
Country of residence 5 years ago
Country of residence 5 years ago
Country of residence 5 years ago
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11999
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12999
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13020
Egypt/United Arab Rep.
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13999
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14999
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15999
Western Africa, n.s.
19999
Africa, n.s.
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St. Thomas
21240
St. Vincent
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21280
Curacao
21290
Sint Maarten
21999
Caribbean, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22990
Central America, n.s.
22991
Central America and Caribbean
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23999
South America, n.s.
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24041
U.S. Outlying Areas and Territories
24999
North or Central America, n.s.
29999
Americas, n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
32900
South Asia, not specified
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33030
East Timor
33040
Indonesia
33050
Laos
33060
Malaysia
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestine
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34151
Syria/Lebanon
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34999
Middle East, n.e.c.
39999
Asia, n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41030
Czech Republic
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41999
Eastern Europe, n.e.c.
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42110
Sweden
42120
United Kingdom
42199
Scandinavia
42999
Northern Europe, n.e.c.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43999
Southern Europe, n.s.
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxembourg
44022
Benelux (Belgium/Netherlands/Luxembourg)
44030
France
44040
Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44999
Western Europe, n.e.c.
49999
Europe, n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
52999
Melanesia, n.e.c.
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53999
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Tokelau
54070
Tonga
54080
Tuvalu
54090
Wallis and Futuna Isls.
54999
Polynesia, n.e.c.
59999
Oceania, n.s.
60000
Other
60010
Other Arab country
90000
Non-migrants (international)
99998
Response suppressed
99999
Unknown
MIGCTRY5 indicates the country of residence 5 years ago for international migrants. Persons who did not live abroad 5 years earlier are coded to the "non-migrant" category.
Migration 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
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.]
This is a 4-digit numeric variable with 0 implied decimal places
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.]
This is a 9-digit numeric variable with 0 implied decimal places
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.]
This is a 10-digit numeric variable with 0 implied decimal places
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.]
This is a 3-digit numeric variable with 0 implied decimal places
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.]
This is a 1-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS