DDI_ROU_1992_PHC_v01_M_v03_A_IPUMS
Minnesota Population Center
2016-04-25
NADA
- v6.4 April 2016
Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.
The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.
Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)
Population and Housing Census 1992 - IPUMS Subset
PHC 1992 (IPUMS Harmonized Subset)
ROU_1992_PHC_v01_M_v03_A_IPUMS
National Commission for Statistics (NCS)
Minnesota Population Center
(c) Copyright 1992, National Commission for Statistics (NCS) and Minnesota Population Center
NADA
National Commission for Statistics (NCS)
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
Geography: Global Variables -- HOUSEHOLD
Geography: M-Z 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
Fertility and Mortality Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Migration Variables -- PERSON
Household Economic Variables -- HOUSEHOLD
Ethnicity and Language Variables -- PERSON
Work: Occupation Variables -- PERSON
Work: Industry Variables -- PERSON
Other Person 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.
Romania
National coverage
County with 20,000+ population
Household
UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: Not available in microdata sample
- Households: Yes
- Individuals: Yes
- Group quarters: Not available in microdata sample
- Special populations: Not defined
UNIT DESCRIPTIONS:
- Dwellings: Built unit generally endowed with annexes (kitchen, bathroom), functionally independent, with separate entrance
- Households: Persons living together, generally relatives, with a common income and expenditure budget
- Group quarters: One or more distinct building inhabited by many persons united for joint purposes and interests and who share some spaces and facilities
The entire population of the country
Census/enumeration data [cen]
MICRODATA SOURCE: NCS
SAMPLE DESIGN: Systematic; every tenth household after a random start
SAMPLE UNIT: Household
SAMPLE FRACTION: 10%
SAMPLE SIZE (person records): 2,238,578
Face-to-face [f2f]
PL - Persons, private dwelling; PC - Persons in collective units - hostel type; PH - Persons in collective units - hotel type
De jure, CENSUS DAY: January 7, 1992, FIELD WORK PERIOD: 7 - 14 January
Direct (face to face) interview
Self-weighting (expansion factor=10)
COVERAGE: 99.67%
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:
Romania, National Commission for Statistics (NCS), Population and Housing Census
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.
ROU1992-H-H
Household records
0
82
ROU1992-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
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
UNREL indicates the number of persons in the household who are unrelated to the head.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
1
Rural
2
Urban
9
Unknown
URBAN indicates whether the household was located in a place designated as urban or as rural.
Geography: Global Variables -- HOUSEHOLD
IPUMS
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
Romania, Region
Romania, Region
Romania, Region
Romania, Region
Romania, Region
1
North-East
2
South-East
3
South
4
South-West
5
West
6
North-West
7
Center
8
Bucharest
REGNRO indicates the region in Romania in in all sample years. REGNRO is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for Romania can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1 , and GEOLEV2 . More information on IPUMS-International geography can be found here.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
NUTS1 Region, Europe
NUTS1 Region, Europe
NUTS1 Region, Europe
NUTS1 Region, Europe
NUTS1 Region, Europe
101
AT1 / Ostösterreich
102
AT2 / Südösterreich
103
AT3 / Westösterreich
601
DE1 / Baden-Württemberg
602
DE2 / Bayern
603
DE3 / Berlin
604
DE4 / Brandenburg
605
DE5 / Bremen
606
DE6 / Hamburg
607
DE7 / Hessen
608
DE8 / Mecklenburg-Vorpommern
609
DE9 / Niedersachsen
610
DEA / Nordrhein-Westfalen
611
DEB / Rheinland-Pfalz
612
DEC / Saarland
613
DED / Sachsen
614
DEE / Sachsen-Anhalt
615
DEF / Schleswig-Holstein
616
DEG / Thüringen
901
ES1 / Noroeste
902
ES2 / Noreste
903
ES3 / Comunidad de Madrid
904
ES4 / Centro (E)
905
ES5 / Este
906
ES6 / Sur
907
ES7 / Canarias
909
ES / Unknown
1101
FR1 / Île de France
1102
FR2 / Bassin Parisien
1103
FR3 / Nord - Pas-de-Calais
1104
FR4 / Est
1105
FR5 / Ouest
1106
FR6 / Sud-Ouest
1107
FR7 / Centre-Est
1108
FR8 / Méditerranée
1109
FR9 / Département d’Outre-Mer
1199
FR99 / Unknown
1201
GR1 / Voreia Ellada
1202
GR2 / Kentriki Ellada
1203
GR3 / Attiki
1204
GR4 / Nisia Aigaiou, Kriti
1400
IE0 / Republic of Ireland
1501
ITC / Nord-Ovest
1502
ITD / Nord-Est
1503
ITE / Centro
1504
ITF / Sud
1505
ITG / Isole
2201
PT1 / Continente
2202
PT2 / Região Autónoma dos Açores
2203
PT3 / Região Autónoma da Madeira
2301
RO1 / Macroregiunea Unu
2302
RO2 / Macroregiunea Doi
2303
RO3 / Macroregiunea Trei
2304
RO4 / Macroregiunea Patru
2501
SI0 / Slovenia
2701
UKC / North East (England)
2702
UKD / North West (England)
2703
UKE / Yorkshire and the Humber (England)
2704
UKF / East Midlands (England)
2705
UKG / West Midlands (England)
2706
UKH / East of England (England)
2707
UKI / LONDON (England)
2708
UKJ / South East (England)
2709
UKK / South West (England)
2710
UKL / WALES
2711
UKM / SCOTLAND
2712
UKN / NORTHERN IRELAND
2713
UKC / North East (England) + UKD / North West (England)
2714
UKH / East of England (England) + UKJ / South East (England)
3401
CH0/Switzerland
9999
UNKNOWN
ENUTS1 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS1 is the first level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.
The code labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash.
The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: Global Variables -- HOUSEHOLD
IPUMS
NUTS2 Region, Europe
NUTS2 Region, Europe
NUTS2 Region, Europe
NUTS2 Region, Europe
NUTS2 Region, Europe
111
AT11 / Burgenland
112
AT12 / Niederösterreich
113
AT13 / Wien
121
AT21 / Kärnten
122
AT22 / Steiermark
131
AT31 / Oberösterreich
132
AT32 / Salzburg
133
AT33 / Tirol
134
AT34 / Vorarlberg
911
ES11 / Galicia
912
ES12 / Principado de Asturias
913
ES13 / Cantabria
921
ES21 / País Vasco
922
ES22 / Comunidad Foral de Navarra
923
ES23 / La Rioja
924
ES24 / Aragón
930
ES30 / Comunidad de Madrid
941
ES41 / Castilla y León
942
ES42 / Castilla-La Mancha
943
ES43 / Extremadura
951
ES51 / Cataluña
952
ES52 / Comunidad Valenciana
953
ES53 / Illes Balears
961
ES61 / Andalucía
962
ES62 / Región de Murcia
963
ES63 / Ciudad Autónoma de Ceuta
964
ES64 / Ciudad Autónoma de Melilla
970
ES70 / Canarias
999
ES / Unknown
1110
FR10 / Region d'Île de France
1121
FR21 / Champagne-Ardenne
1122
FR22 / Picardie
1123
FR23 / Haute-Normandie
1124
FR24 / Centre
1125
FR25 / Basse-Normandie
1126
FR26 / Bourgogne
1130
FR30 / Nord-Pas-de-Calais
1141
FR41 / Lorraine
1142
FR42 / Alsace
1143
FR43 / Franche-Comté
1151
FR51 / Pays de la Loire
1152
FR52 / Bretagne
1153
FR53 / Poitou-Charentes
1161
FR61 / Aquitaine
1162
FR62 / Midi-Pyrénées
1163
FR63 / Limousin
1171
FR71 / Rhône-Alpes
1172
FR72 / Auvergne
1181
FR81 / Lanquedoc-Roussillon
1182
FR82 / Provence-Alpes-Côte d'Azur
1183
FR83 / Corse
1191
FR91 / Guadeloupe
1192
FR92 / Martinique
1193
FR93 / Guyane
1194
FR94 / Réunion
1199
FR99 / Unknown
1211
GR11 / Anatoliki Makedonia, Thraki
1212
GR12 / Kentriki Makedonia
1213
GR13 / Dytiki Makedonia
1214
GR14 / Thessalia
1221
GR21 / Ipeiros
1222
GR22 / Ionia Nisia
1223
GR23 / Dytiki Ellada
1224
GR24 / Sterea Ellada
1225
GR25 / Peloponnisos
1230
GR30 / Attiki
1241
GR41 / Voreio Aigaio
1242
GR42 / Notio Aigaio
1243
GR43 / Kriti
1401
IE01 / Border, Midland and Western
1402
IE02 / Southern and Eastern
1511
ITC1 / Piemonte + ITC2 / Valle d'Aosta
1513
ITC3 / Liguria
1514
ITC4 /Lombardia
1521
ITD1 / Bolzano-Bozen + ITD2 / Trento
1523
ITD3 / Veneto
1524
ITD4 / Friuli-Venezia Giulia
1525
ITD5 / Emilia-Romagna
1531
ITE1 / Toscana
1532
ITE2 / Umbria
1533
ITE3 / Marche
1534
ITE4 / Lazio
1541
ITF1 / Abruzzo
1542
ITF2 / Molise
1543
ITF3 / Campania
1544
ITF4 / Puglia
1545
ITF5 / Basilicata
1546
ITF6 / Calabria
1551
ITG1 / Sicilia
1552
ITG2 / Sardegna
2211
PT11 / Norte
2215
PT15 / Algarve
2216
PT16 / Centro (P)
2217
PT17 / Lisboa
2218
PT18 / Alentejo
2220
PT20 / Região Autónoma dos Açores
2230
PT30 / Região Autónoma da Madeira
2311
RO11 / Nord-Vest
2312
RO12 / Centru
2321
RO21 / Nord-Est
2322
RO22 / Sud-Est
2331
RO31 / Sud - Muntenia
2332
RO32 / Bucuresti - Ilfov
2341
RO41 / Sud-Vest Oltenia
2342
RO42 / Vest
2501
SI01 / Vzhodna Slovenija
2502
SI02 / Zahodna Slovenija
2599
SI / Unknown
3401
CH01/Lake Geneva region (Région lémanique)
3402
CH02/Espace Mittelland
3403
CH03/Northwestern Switzerland (Nordwestschweiz)
3404
CH04/Zurich
3405
CH05/Eastern Switzerland (Ostschweiz)
3406
CH06/Central Switzerland (Zentralschweiz)
3407
CH07/Ticino
ENUTS2 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS2 is the second level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.
The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash.
The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: Global Variables -- HOUSEHOLD
IPUMS
NUTS3 Region, Europe
NUTS3 Region, Europe
NUTS3 Region, Europe
NUTS3 Region, Europe
NUTS3 Region, Europe
1111
AT111 / Mittelburgenland + AT113 / Südburgenland
1112
AT112 / Nordburgenland
1121
AT121 / Mostviertel-Eisenwurzen
1122
AT122 / Niederösterreich-Süd
1123
AT123 / Sankt Pölten
1124
AT124 / Waldviertel
1125
AT125 / Weinviertel
1126
AT126 / Wiener Umland/Nordteil
1127
AT127 / Wiener Umland/Südteil
1130
AT130 / Wien
1211
AT211 / Klagenfurt-Villach
1212
AT212 / Oberkärnten
1213
AT213 / Unterkärnten
1221
AT221 / Graz
1222
AT222 / Liezen
1223
AT223 / Östliche Obersteiermark
1224
AT224 / Oststeiermark
1225
AT225 / West- und Südsteiermark
1226
AT226 / Westliche Obersteiermark
1311
AT311 / Innviertel
1312
AT312 / Linz-Wels
1313
AT313 / Mühlviertel
1314
AT314 / Steyr-Kirchdorf
1315
AT315 / Traunviertel
1321
AT321 / Lungau + AT322 / Pinzgau-Pongau
1323
AT323 / Salzburg und Umgebung
1331
AT331 / Außerfern + AT334 / Oberland
1332
AT332 / Innsbruck
1333
AT333 / Osttirol + AT335 / Tiroler Unterland
1341
AT341 / Bludenz-Bregenzer Wald
1342
AT342 / Rheintal-Bodenseegebiet
9111
ES111 / Coruña (A)
9112
ES112 / Lugo
9113
ES113 / Ourense
9114
ES114 / Pontevedra
9120
ES120 / Asturias
9130
ES130 / Cantabria
9211
ES211 / Álava
9212
ES212 / Guipúzcoa
9213
ES213 / Vizcaya
9220
ES220 / Navarra
9230
ES230 / Rioja (La)
9241
ES241 / Huesca
9242
ES242 / Teruel
9243
ES243 / Zaragoza
9300
ES300 / Madrid
9411
ES411 / Ávila
9412
ES412 / Burgos
9413
ES413 / León
9414
ES414 / Palencia
9415
ES415 / Salamanca
9416
ES416 / Segovia
9417
ES417 / Soria
9418
ES418 / Valladolid
9419
ES419 / Zamora
9421
ES421 / Albacete
9422
ES422 / Ciudad Real
9423
ES423 / Cuenca
9424
ES424 / Guadalajara
9425
ES425 / Toledo
9431
ES431 / Badajoz
9432
ES432 / Cáceres
9511
ES511 / Barcelona
9512
ES512 / Girona
9513
ES513 / Lleida
9514
ES514 / Tarragona
9521
ES521 / Alicante/Alacant
9522
ES522 / Castellón/Castelló
9523
ES523 / Valencia/València
9530
ES530 / Balears (Illes)
9611
ES611 / Almería
9612
ES612 / Cádiz
9613
ES613 / Córdoba
9614
ES614 / Granada
9615
ES615 / Huelva
9616
ES616 / Jaén
9617
ES617 / Málaga
9618
ES618 / Sevilla
9620
ES620 / Murcia
9630
ES630 / Ceuta
9640
ES640 / Melilla
9701
ES701 / Palmas (Las)
9702
ES702 / Santa Cruz de Tenerife
9999
ES / Unknown
12111
GR111 / Evros
12112
GR112 / Xanthi
12113
GR113 / Rodopi
12114
GR114 / Drama
12115
GR115 / Kavala
12121
GR121 / Imathia
12122
GR122 / Thessaloniki
12123
GR123 / Kilkis
12124
GR124 / Pella
12125
GR125 / Pieria
12126
GR126 / Serres
12127
GR127 / Chalkidiki and Aghion Oros
12131
GR131 / Grevena
12132
GR132 / Kastoria
12133
GR133 / Kozani
12134
GR134 / Florina
12141
GR141 / Karditsa
12142
GR142 / Larissa
12143
GR143 / Magnissia
12144
GR144 / Trikala
12211
GR211 / Arta
12212
GR212 / Thesprotia
12213
GR213 / Ioannina
12214
GR214 / Preveza
12221
GR221 / Zakynthos
12222
GR222 / Kerkyra
12223
GR223 / Kefallinia
12224
GR224 / Lefkada
12231
GR231 / Etolia and Akarnania
12232
GR232 / Achaia
12233
GR233 / Ilia
12241
GR241 / Viotia
12242
GR242 / Evia
12243
GR243 / Evrytania
12244
GR244 / Fthiotida
12245
GR245 / Fokida
12251
GR251 / Argolida
12252
GR252 / Arkadia
12253
GR253 / Korinthia
12254
GR254 / Lakonia
12255
GR255 / Messinia
12300
GR300 / Attiki
12411
GR411 / Lesvos
12412
GR412 / Samos
12413
GR413 / Chios
12421
GR421 / Dodekanissos
12422
GR422 / Kyklades
12431
GR431 / Iraklio
12432
GR432 / Lassithi
12433
GR433 / Rethymno
12434
GR434 / Chania
14011
IE011 / Border
14012
IE012 / Midlands
14013
IE013 / West
14021
IE021 / Dublin
14022
IE022 / Mid-East
14023
IE023 / Mid-West
14024
IE024 / South-East
14025
IE025 / South-West
22111
PT111 / Minho-Lima
22112
PT112 / Cávado
22113
PT113 / Ave
22114
PT114 / Grande Porto
22115
PT115 / Tâmega
22116
PT116 / Entre Douro e Vouga
22117
PT117 / Douro
22118
PT118 / Alto Trás-os-Montes
22150
PT150 / Algarve
22161
PT161 / Baixo Vouga
22162
PT162 / Baixo Mondego
22163
PT163 / Pinhal Litoral
22165
PT165 / Dão-Lafões
22166
PT16B / Oeste
22167
PT16C / Médio Tejo
22169
PT164, PT166, PT167, PT168, PT169, PT16A
22171
PT171 / Grande Lisboa
22172
PT172 / Península de Setúbal
22185
PT185 / Lezíria do Tejo
22189
PT181, PT182, PT183, PT184
22200
PT200 / Região Autónoma dos Açores
22300
PT300 / Região Autónoma da Madeira
23111
RO111 / Bihor
23112
RO112 / Bistrita Nasaud
23113
RO113 / Cluj
23114
RO114 / Maramures
23115
RO115 / Satu Mare
23116
RO116 / Salaj
23121
RO121 / Alba
23122
RO122 / Brasov
23123
RO123 / Covasna
23124
RO124 / Harghita
23125
RO125 / Mures
23126
RO126 / Sibiu
23211
RO211 / Bacau
23212
RO212 / Botosani
23213
RO213 / Iasi
23214
RO214 / Neamt
23215
RO215 / Suceava
23216
RO216 / Vaslui
23221
RO221 / Braila
23222
RO222 / Buzau
23223
RO223 / Constanta
23224
RO224 / Galati
23225
RO225 / Tulcea
23226
RO226 / Vrancea
23311
RO311 / Arges
23312
RO312 / Calarasi
23313
RO313 / Dimbovita
23314
RO314 / Giurgiu
23315
RO315 / Ialomita
23316
RO316 / Prahova
23317
RO317 / Teleorman
23321
RO321 / Bucuresti
23322
RO322 / Ilfov
23411
RO411 / Dolj
23412
RO412 / Gorj
23413
RO413 / Mehedinti
23414
RO414 / Olt
23415
RO415 / Valcea
23421
RO421 / Arad
23422
RO422 / Caras Severin
23423
RO423 / Hunedoara
23424
RO424 / Timis
25011
SI011 / Pomurska
25012
SI012 / Podravska
25013
SI013 / Koroka
25014
SI014 / Savinjska
25015
SI015 / Zasavska
25016
SI016 / Spodnjeposavska
25017
SI017 / Jugovzhodna Slovenija
25018
SI018 / Notranjsko-kraka
25021
SI021 / Osrednjeslovenska
25022
SI022 / Gorenjska
25023
SI023 / Gorika
25024
SI024 / Obalno-kraka
25999
SI / Unknown
34011
CH011 / Vaud
34012
CH012 / Valais
34013
CH013 / Geneva
34021
CH021 / Bern
34022
CH022 / Freiburg
34023
CH023 / Solothurn
34024
CH024 / Neuchatel
34025
CH025 / Jura
34031
CH031 / Basel-Stadt
34032
CH032 / Basel-Landschaft
34033
CH033 / Aargau
34040
CH040 / Zurich
34051
CH051 / Glarus
34052
CH052 / Schaffhausen
34053
CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden
34055
CH055 / St. Gallen
34056
CH056 / Graubundun
34057
CH057 / Thurgau
34061
CH061 / Luzern
34062
CH062 / Uri
34063
CH063 / Schwyz
34064
CH064 / Obwalden
34065
CH065 / Nidwalden
34066
CH066 / Zug
34070
CH070 / Ticino
ENUTS3 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS3 is the third level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable.
The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash.
The full set of geography variables for the countries can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Water supply
Water supply
Water supply
Water supply
Water supply
NIU (not in universe)
10
Yes, piped water
11
Piped inside dwelling
12
Piped, exclusively to this household
13
Piped, shared with other households
14
Piped outside the dwelling
15
Piped outside dwelling, in building
16
Piped within the building or plot of land
17
Piped outside the building or lot
18
Have access to public piped water
20
No piped water
99
Unknown
WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water.
Utilities Variables -- HOUSEHOLD
IPUMS
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
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
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
Bathing facilities
Bathing facilities
Bathing facilities
Bathing facilities
Bathing facilities
NIU (not in universe)
1
No bathing facility
2
Have bathing facility, exclusivity not specified
3
Have bathing facility, exclusive use
4
Have bathing facility, shared use
9
Unknown
BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access.
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
Household classification
Household classification
Household classification
Household classification
Household classification
Vacant household
1
One-person household
2
Married/cohab couple, no children
3
Married/cohab couple with children
4
Single-parent family
5
Polygamous family
6
Extended family, relatives only
7
Composite household, family and non-relatives
8
Non-family household
9
Unclassified subfamily
10
Other relative or non-relative household
11
Group quarters
99
Unclassifiable
HHTYPE is a constructed variable that describes the composition of households.
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Vacant household
1
1 family
2
2 families
3
3 families
4
4 families
5
5 families
6
6 families
7
7 families
8
8 families
9
9 or more families
NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.
Constructed Household Variables -- HOUSEHOLD
IPUMS
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
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
32002
City of Buenos Aires [Province: Argentina]
32006
Buenos Aires province [Province: Argentina]
32010
Catamarca [Province: Argentina]
32014
Córdoba [Province: Argentina]
32018
Corrientes [Province: Argentina]
32022
Chaco [Province: Argentina]
32026
Chubut [Province: Argentina]
32030
Entre Ríos [Province: Argentina]
32034
Formosa [Province: Argentina]
32038
Jujuy [Province: Argentina]
32042
La Pampa [Province: Argentina]
32046
La Rioja [Province: Argentina]
32050
Mendoza [Province: Argentina]
32054
Misiones [Province: Argentina]
32058
Neuquén [Province: Argentina]
32062
Río Negro [Province: Argentina]
32066
Salta [Province: Argentina]
32070
San Juan [Province: Argentina]
32074
San Luis [Province: Argentina]
32078
Santa Cruz [Province: Argentina]
32082
Santa Fe [Province: Argentina]
32086
Santiago del Estero [Province: Argentina]
32090
Tucumán [Province: Argentina]
32094
Tierra del Fuego [Province: Argentina]
32099
Unknown [Province: Argentina]
40011
Burgenland [State: Austria]
40012
Niederösterreich [State: Austria]
40013
Wien [State: Austria]
40021
Kärnten [State: Austria]
40022
Steiermark [State: Austria]
40031
Oberösterreich [State: Austria]
40032
Salzburg [State: Austria]
40033
Tirol [State: Austria]
40034
Vorarlberg [State: Austria]
50010
Barisal [Division, Bangladesh]
50020
Chittagong [Division, Bangladesh]
50030
Dhaka [Division, Bangladesh]
50040
Khulna [Division, Bangladesh]
50050
Rajshahi, Rangpur [Division, Bangladesh]
50060
Sylhet [Division, Bangladesh]
51901
Yerevan [Province: Armenia]
51902
Aragatsotn [Province: Armenia]
51903
Ararat [Province: Armenia]
51904
Armavir [Province: Armenia]
51905
Gegharkunik [Province: Armenia]
51906
Lori [Province: Armenia]
51907
Kotayk [Province: Armenia]
51908
Shirak [Province: Armenia]
51909
Syunik [Province: Armenia]
51910
Vayots Dzor [Province: Armenia]
51911
Tavush [Province: Armenia]
68001
Chuquisaca [Department: Bolivia]
68002
La Paz [Department: Bolivia]
68003
Cochabamba [Department: Bolivia]
68004
Oruro [Department: Bolivia]
68005
Potosí [Department: Bolivia]
68006
Tarija [Department: Bolivia]
68007
Santa Cruz [Department: Bolivia]
68008
Beni [Department: Bolivia]
68009
Pando [Department: Bolivia]
76011
Rondonia [State: Brazil]
76012
Acre [State: Brazil]
76013
Amazonas [State: Brazil]
76014
Roraima [State: Brazil]
76015
Pará [State: Brazil]
76016
Amapa [State: Brazil]
76021
Maranhao [State: Brazil]
76022
Piauí [State: Brazil]
76023
Ceará [State: Brazil]
76024
Rio Grande do Norte [State: Brazil]
76025
Paraiba [State: Brazil]
76026
Pernambuco [State: Brazil]
76027
Alagoas [State: Brazil]
76028
Sergipe [State: Brazil]
76029
Bahia [State: Brazil]
76031
Minas Gerais [State: Brazil]
76032
Espírito Santo [State: Brazil]
76033
Rio de Janeiro [State: Brazil]
76035
São Paulo [State: Brazil]
76041
Parana [State: Brazil]
76042
Santa Catarina [State: Brazil]
76043
Rio Grande do Sul [State: Brazil]
76051
Mato Grosso, Mato Grosso do Sul [State: Brazil]
76052
Goiás and Tocantins [State: Brazil]
76053
Distrito Federal [State: Brazil]
112001
Brest [Region: Belarus]
112002
Vitebsk [Region: Belarus]
112003
Gomel [Region: Belarus]
112004
Grodno [Region: Belarus]
112006
Minsk [Region: Belarus]
112007
Mogilev [Region: Belarus]
116001
Banteay Meanchey [Province: Cambodia]
116002
Battambang [Province: Cambodia]
116003
Kampong Cham [Province: Cambodia]
116004
Kampong Chhnang [Province: Cambodia]
116005
Kampong Speu [Province: Cambodia]
116006
Kampong Thom [Province: Cambodia]
116007
Kampot [Province: Cambodia]
116008
Kandal [Province: Cambodia]
116009
Koh Kong [Province: Cambodia]
116010
Kratie [Province: Cambodia]
116011
Mondul Kiri [Province: Cambodia]
116012
Phnom Penh [Province: Cambodia]
116013
Preah Vihear [Province: Cambodia]
116014
Prey Veng [Province: Cambodia]
116015
Pursat [Province: Cambodia]
116016
Rotanak Kiri [Province: Cambodia]
116017
Siem Reap and Otdar Meanchey [Province: Cambodia]
116018
Preah Sihanouk [Province: Cambodia]
116019
Stung Treng [Province: Cambodia]
116020
Svay Rieng [Province: Cambodia]
116021
Takeo [Province: Cambodia]
116023
Kep [Province: Cambodia]
116024
Pailin [Province: Cambodia]
120002
Centre, Sud [Province: Cameroon]
120003
Est [Province: Cameroon]
120004
Nord, Adamoua , Extrème Nord [Province: Cameroon]
120005
Littoral [Province: Cameroon]
120007
Nord Ouest [Province: Cameroon]
120008
Ouest [Province: Cameroon]
120010
Sud Ouest [Province: Cameroon]
124010
Newfoundland and Labrador [Province: Canada]
124011
Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada]
124012
Nova Scotia [Province: Canada]
124013
New Brunswick [Province: Canada]
124024
Quebec [Province: Canada]
124035
Ontario [Province: Canada]
124046
Manitoba [Province: Canada]
124047
Saskatchewan [Province: Canada]
124048
Alberta [Province: Canada]
124059
British Columbia [Province: Canada]
152002
Antofagasta and Tarapacá [Region: Chile]
152004
Atacama and Coquimbo [Region: Chile]
152007
Del Maule [Region: Chile]
152008
Del Biobio [Region: Chile]
152009
La Araucanía [Region: Chile]
152010
Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile]
152012
Magallanes and La Antártica Chilena [Region: Chile]
152013
Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile]
152099
Unknown [Region: Chile]
156011
Beijing (municipality) [Province: China]
156012
Tianjin (municipality) [Province: China]
156013
Hebei [Province: China]
156014
Shanxi [Province: China]
156015
Inner Mongolia [Province: China]
156021
Liaoning [Province: China]
156022
Jilin [Province: China]
156023
Heilongjiang [Province: China]
156031
Shanghai (municipality) [Province: China]
156032
Jiangsu [Province: China]
156033
Zhejiang [Province: China]
156034
Anhui [Province: China]
156035
Fujian [Province: China]
156036
Jiangxi [Province: China]
156037
Shangdong [Province: China]
156041
Henan [Province: China]
156042
Hubei [Province: China]
156043
Hunan [Province: China]
156044
Guangdong and Hainan [Province: China]
156045
Guangxi [Province: China]
156051
Sichuan [Province: China]
156052
Guizhou [Province: China]
156053
Yunnan [Province: China]
156054
Tibet [Province: China]
156061
Shaanxi [Province: China]
156062
Gansu [Province: China]
156063
Qinghai [Province: China]
156064
Ningxia [Province: China]
156065
Xinjiang [Province: China]
170005
Antioquia [Department: Colombia]
170008
Atlántico [Department: Colombia]
170011
Bogotá [Department: Colombia]
170013
Bolívar and Sucre [Department: Colombia]
170015
Boyacá and Casanare [Department: Colombia]
170018
Caquetá [Department: Colombia]
170019
Cauca [Department: Colombia]
170023
Córdoba [Department: Colombia]
170025
Cundinamarca [Department: Colombia]
170027
Chocó [Department: Colombia]
170041
Huila [Department: Colombia]
170044
La Guajira [Department: Colombia]
170047
Cesar and Magdalena [Department: Colombia]
170050
Meta and Vichada [Department: Colombia]
170052
Nariño [Department: Colombia]
170054
Norte de Santander [Department: Colombia]
170066
Caldas, Quindío, and Risaralda [Department: Colombia]
170068
Santander [Department: Colombia]
170073
Tolima [Department: Colombia]
170076
Valle [Department: Colombia]
170081
Arauca [Department: Colombia]
170086
Putumayo [Department: Colombia]
170088
San Andrés [Department: Colombia]
170091
Amazonas [Department: Colombia]
170095
Guaviare, Vaupés, and Guainía [Department: Colombia]
188001
San José [Province: Costa Rica]
188002
Alajuela [Province: Costa Rica]
188003
Cartago [Province: Costa Rica]
188004
Heredia [Province: Costa Rica]
188005
Guanacaste [Province: Costa Rica]
188006
Puntarenas [Province: Costa Rica]
188007
Limón [Province: Costa Rica]
192001
Pinar del Río [Province: Cuba]
192002
La Habana [Province: Cuba]
192003
Ciudad de la Habana [Province: Cuba]
192004
Matanzas [Province: Cuba]
192005
Villa Clara [Province: Cuba]
192006
Cienfuegos [Province: Cuba]
192007
Sancti Spiritus [Province: Cuba]
192008
Ciego de Avila [Province: Cuba]
192009
Camagüey [Province: Cuba]
192010
Las Tunas [Province: Cuba]
192011
Holguín [Province: Cuba]
192012
Granma [Province: Cuba]
192013
Santiago de Cuba [Province: Cuba]
192014
Guantánamo [Province: Cuba]
192099
Isla de la Juventud [Province: Cuba]
214001
Federal district and Santo Domingo [Province: Dominican Republic]
214002
Azua [Province: Dominican Republic]
214003
Baoruco [Province: Dominican Republic]
214004
Barahona [Province: Dominican Republic]
214005
Dajabón [Province: Dominican Republic]
214006
Duarte [Province: Dominican Republic]
214007
Elías Piña [Province: Dominican Republic]
214008
El Seibo and Hato Mayor [Province: Dominican Republic]
214009
Espaillat [Province: Dominican Republic]
214010
Independencia [Province: Dominican Republic]
214011
La Altagracia and La Romana [Province: Dominican Republic]
214013
La Vega and Monseñor Nouel [Province: Dominican Republic]
214014
María Trinidad Sánchez and Samaná [Province: Dominican Republic]
214015
Monte Cristi [Province: Dominican Republic]
214016
Pedernales [Province: Dominican Republic]
214017
Peravia and San José de Ocoa [Province: Dominican Republic]
214018
Puerto Plata [Province: Dominican Republic]
214019
Hermanas Mirabal [Province: Dominican Republic]
214021
San Cristóbal and Monte Plata [Province: Dominican Republic]
214022
San Juan [Province: Dominican Republic]
214023
San Pedro de Macorís [Province: Dominican Republic]
214024
Sánchez Ramírez [Province: Dominican Republic]
214025
Santiago [Province: Dominican Republic]
214026
Santiago Rodríguez [Province: Dominican Republic]
214027
Valverde [Province: Dominican Republic]
218001
Azuay [Province: Ecuador]
218002
Bolívar [Province: Ecuador]
218004
Carchi [Province: Ecuador]
218005
Cotopaxi [Province: Ecuador]
218006
Chimborazo [Province: Ecuador]
218007
El Oro [Province: Ecuador]
218009
Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero
218010
Imbabura, Las Golondrinas [Disputed canton] [Disputed canton]
218011
Loja [Province: Ecuador]
218014
Morona Santiago [Province: Ecuador]
218016
Pastaza [Province: Ecuador]
218018
Tungurahua [Province: Ecuador]
218019
Zamora Chinchipe [Province: Ecuador]
218021
Napo, Orellana, Sucumbíos [Province: Ecuador]
218099
Unknown [Province: Ecuador]
222001
Ahuachapán [Department: El Salvador]
222002
Santa Ana [Department: El Salvador]
222003
Sonsonate [Department: El Salvador]
222004
Chalatenango [Department: El Salvador]
222005
La Libertad [Department: El Salvador]
222006
San Salvador [Department: El Salvador]
222007
Cuscatlán [Department: El Salvador]
222008
La Paz [Department: El Salvador]
222009
Cabañas [Department: El Salvador]
222010
San Vicente [Department: El Salvador]
222011
Usulután [Department: El Salvador]
222012
San Miguel [Department: El Salvador]
222013
Morazán [Department: El Salvador]
222014
La Unión [Department: El Salvador]
231001
Tigray [Region: Ethiopia]
231002
Affar [Region: Ethiopia]
231003
Amhara [Region: Ethiopia]
231004
Oromiya [Region: Ethiopia]
231005
Somali [Region: Ethiopia]
231006
Benishangul-Gumz [Region: Ethiopia]
231007
Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia]
231012
Gambela [Region: Ethiopia]
231013
Harari [Region: Ethiopia]
231014
Addis Ababa [Region: Ethiopia]
231015
Dire Dawa [Region: Ethiopia]
231017
Special region [Region: Ethiopia]
238094
Falkland Islands [Province: Argentina]
239094
South Georgia and South Sandwich Islands [Province: Argentina]
242001
Ba [Province: Fiji]
242003
Bua, Cakaudrove [Province: Fiji]
242006
Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji]
242007
Macuata [Province: Fiji]
242008
Nadroha [Province: Fiji]
242009
Naitasiri, Rewa [Province: Fiji]
242011
Ra [Province: Fiji]
242014
Serua, Namosi [Province: Fiji]
242015
Tailevu [Province: Fiji]
242099
Ships, unknown [Province: Fiji]
250001
Guadeloupe [Oversea Department, France]
250002
Martinique [Oversea Department, France]
250003
French Guyana [Oversea Department, France]
250004
Réunion Island [Oversea Department, France]
250011
Île-de-France [Region: France]
250021
Champagne-Ardenne [Region: France]
250022
Picardy [Region: France]
250023
Upper Normandy [Region: France]
250024
Centre [Region: France]
250025
Lower Normandy [Region: France]
250026
Burgundy [Region: France]
250031
North Pas-de-Calais [Region: France]
250041
Lorraine [Region: France]
250042
Alsace [Region: France]
250043
Franche-Comté [Region: France]
250052
Loire Valley [Region: France]
250053
Brittany [Region: France]
250054
Poitou-Charentes [Region: France]
250072
Aquitaine [Region: France]
250073
Midi-Pyrénées [Region: France]
250074
Limousin [Region: France]
250082
Rhône-Alpes [Region: France]
250083
Auvergne [Region: France]
250091
Languedoc-Roussillon [Region: France]
250093
Provence-Alpes-Riviera [Region: France]
250094
Corsica [Region: France]
250999
Unknown [Region: France]
275001
Jenin [Governorate: Palestine]
275005
Tubas [Governorate: Palestine]
275010
Tulkarm [Governorate: Palestine]
275015
Nablus [Governorate: Palestine]
275020
Qalqiliya [Governorate: Palestine]
275025
Salfit [Governorate: Palestine]
275030
Ramallah and Al-Bireh [Governorate: Palestine]
275035
Jericho [Governorate: Palestine]
275040
Jerusalem [Governorate: Palestine]
275045
Bethlehem [Governorate: Palestine]
275050
Hebron [Governorate: Palestine]
275055
North Gaza [Governorate: Palestine]
275060
Gaza [Governorate: Palestine]
275065
Deir Al-Balah [Governorate: Palestine]
275070
Khan Yunis [Governorate: Palestine]
275075
Rafah [Governorate: Palestine]
276001
Schleswig-Holstein [State: Germany]
276002
Hamburg [State: Germany]
276003
Niedersachsen [State: Germany]
276004
Bremen [State: Germany]
276005
Nordrhein-Westfalen [State: Germany]
276006
Hessen [State: Germany]
276007
Rheinland-Pfalz [State: Germany]
276008
Baden-Württemberg [State: Germany]
276009
Bayern [State: Germany]
276010
Saarland [State: Germany]
276012
Brandenburg [State: Germany]
276013
Mecklenburg-West Pomerania [State: Germany]
276014
Saxony [State: Germany]
276015
Saxony-Anhalt [State: Germany]
276016
Thuringia [State: Germany]
276017
East Berlin [State: Germany]
276018
West Berlin [State: Germany]
276099
NIU (Not in universe) [State: Germany]
288001
Western [Region: Ghana]
288002
Central [Region: Ghana]
288003
Greater Accra [Region: Ghana]
288004
Volta [Region: Ghana]
288005
Eastern [Region: Ghana]
288006
Ashanti [Region: Ghana]
288007
Brong Ahafo [Region: Ghana]
288008
Northern [Region: Ghana]
288009
Upper East [Region: Ghana]
288010
Upper West [Region: Ghana]
300001
Etolia and Akarnania [Department: Greece]
300003
Viotia [Department: Greece]
300004
Evia [Department: Greece]
300005
Evrytania [Department: Greece]
300006
Fthiotida [Department: Greece]
300007
Fokida [Department: Greece]
300011
Argolida [Department: Greece]
300012
Arkadia [Department: Greece]
300013
Achaia [Department: Greece]
300014
Ilia [Department: Greece]
300015
Korinthia [Department: Greece]
300016
Lakonia [Department: Greece]
300017
Messinia [Department: Greece]
300021
Zakynthos [Department: Greece]
300022
Kerkyra [Department: Greece]
300023
Kefallinia [Department: Greece]
300024
Lefkada [Department: Greece]
300031
Arta [Department: Greece]
300032
Thesprotia [Department: Greece]
300033
Ioannina [Department: Greece]
300034
Preveza [Department: Greece]
300041
Karditsa [Department: Greece]
300042
Larissa [Department: Greece]
300043
Magnissia [Department: Greece]
300044
Trikala [Department: Greece]
300051
Grevena [Department: Greece]
300052
Drama [Department: Greece]
300053
Imathia [Department: Greece]
300054
Thessaloniki [Department: Greece]
300055
Kavala [Department: Greece]
300056
Kastoria [Department: Greece]
300057
Kilkis [Department: Greece]
300058
Kozani [Department: Greece]
300059
Pella [Department: Greece]
300061
Pieria [Department: Greece]
300062
Serres [Department: Greece]
300063
Florina [Department: Greece]
300064
Chalkidiki and Aghion Oros [Department: Greece]
300071
Evros [Department: Greece]
300072
Xanthi [Department: Greece]
300073
Rodopi [Department: Greece]
300081
Dodekanissos [Department: Greece]
300082
Kyklades [Department: Greece]
300083
Lesvos [Department: Greece]
300084
Samos [Department: Greece]
300085
Chios [Department: Greece]
300091
Iraklio [Department: Greece]
300092
Lassithi [Department: Greece]
300093
Rethymno [Department: Greece]
300094
Chania [Department: Greece]
300101
Prefecture of Athens [Department: Greece]
300102
Prefecture of East Attiki [Department: Greece]
300103
Prefecture of West Attiki [Department: Greece]
300104
Prefecture of Pireas [Department: Greece]
324001
Boké [Region: Guinea]
324002
Faranah [Region: Guinea]
324003
Kankan [Region: Guinea]
324004
Kindia, Labe, Mamou [Region: Guinea]
324007
N'zerekore [Region: Guinea]
324008
Conakry [Region: Guinea]
332003
Nord (North) and Nord'est (North East) [Department: Haiti]
332006
Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]
332007
Grand'Anse, Nippes, Sud (South) [Department: Haiti]
332009
Nord'Ouest (North West) [Department: Haiti]
356001
Jammu and Kashmir [State: India]
356002
Himachal Pradesh [State: India]
356003
Punjab [State: India]
356004
Chandigarh [State: India]
356006
Haryana [State: India]
356007
Delhi [State: India]
356008
Rajasthan [State: India]
356009
Uttar Pradesh and Uttaranchal [State: India]
356010
Bihar and Jharkhand [State: India]
356011
Sikkim [State: India]
356012
Arunachal Pradesh [State: India]
356013
Nagaland [State: India]
356014
Manipur [State: India]
356015
Mizoram [State: India]
356016
Tripura [State: India]
356017
Meghalaya [State: India]
356018
Assam [State: India]
356019
West Bengal [State: India]
356021
Orissa [State: India]
356023
Chhattisgarh and Madhya Pradesh [State: India]
356024
Gujarat [State: India]
356026
Dadra and Nagar Haveli [State: India]
356027
Maharashtra [State: India]
356028
Andhra Pradesh [State: India]
356029
Karnataka [State: India]
356030
Daman and Diu and Goa [State: India]
356031
Lakshadweep [State: India]
356032
Kerala [State: India]
356033
Tamil Nadu [State: India]
356034
Pondicherry [State: India]
356035
Andaman and Nicobar Islands [State: India]
360011
Nanggroe Aceh Darussalam [Province: Indonesia]
360012
Sumatera Utara [Province: Indonesia]
360013
Sumatera Barat [Province: Indonesia]
360014
Riau and Kepulauan Riau [Province: Indonesia]
360015
Jambi [Province: Indonesia]
360016
Sumatera Selatan and Bangka Belitung [Province: Indonesia]
360017
Bengkulu [Province: Indonesia]
360018
Lampung [Province: Indonesia]
360031
DKI Jakarta [Province: Indonesia]
360032
West Java and Banten [Province: Indonesia]
360033
Jawa Tengah [Province: Indonesia]
360034
DI Yogyakarta [Province: Indonesia]
360035
Jawa Timur [Province: Indonesia]
360051
Bali [Province: Indonesia]
360052
Nusa Tenggara Barat [Province: Indonesia]
360053
East Nusa Tenggara [Province: Indonesia]
360061
Kalimantan Barat [Province: Indonesia]
360062
Kalimantan Tengah [Province: Indonesia]
360063
Kalimantan Selatan [Province: Indonesia]
360064
Kalimantan Timur [Province: Indonesia]
360071
Sulawesi Utara and Gorontalo [Province: Indonesia]
360072
Sulawesi Tengah [Province: Indonesia]
360073
Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia]
360081
Maluku and Maluku Utara [Province: Indonesia]
360094
Papua and Papua Barat [Province: Indonesia]
364000
Markazi [Province: Iran]
364001
Gilan [Province: Iran]
364002
Mazandaran [Province: Iran]
364003
East Azarbayejan [Province: Iran]
364004
West Azarbayejan [Province: Iran]
364005
Kermanshah [Province: Iran]
364006
Khuzestan [Province: Iran]
364007
Fars [Province: Iran]
364008
Kerman [Province: Iran]
364009
Khorasan-e- Razavi [Province: Iran]
364010
Esfahan [Province: Iran]
364011
Sistan and Baluchestan [Province: Iran]
364012
Kordestan [Province: Iran]
364013
Hamedan [Province: Iran]
364014
Chaharmahal and Bakhtiyari [Province: Iran]
364015
Lorestan [Province: Iran]
364016
Ilam [Province: Iran]
364017
Kohgiluyeh and Boyerahmad [Province: Iran]
364018
Bushehr [Province: Iran]
364019
Zanjan [Province: Iran]
364020
Semnan [Province: Iran]
364021
Yazd [Province: Iran]
364022
Hormozgan [Province: Iran]
364023
Tehran [Province: Iran]
364024
Ardebil [Province: Iran]
364025
Qom [Province: Iran]
364026
Qazvin [Province: Iran]
364027
Golestan [Province: Iran]
364028
North Khorasan [Province: Iran]
364029
South Khorasan [Province: Iran]
368011
Dhok [Governorate: Iraq]
368012
Nineveh [Governorate: Iraq]
368013
Al-Sulaimaniya [Governorate: Iraq]
368014
Al-Tameem [Governorate: Iraq]
368015
Arbil [Governorate: Iraq]
368021
Diala [Governorate: Iraq]
368022
Al-Anbar [Governorate: Iraq]
368023
Baghdad [Governorate: Iraq]
368024
Babylon [Governorate: Iraq]
368025
Kerbela [Governorate: Iraq]
368026
Wasit [Governorate: Iraq]
368027
Salah Al-Deen [Governorate: Iraq]
368028
Al-Najaf [Governorate: Iraq]
368031
Al-Qadisiya [Governorate: Iraq]
368032
Al-Muthanna [Governorate: Iraq]
368033
Thi-Qar [Governorate: Iraq]
368034
Maysan [Governorate: Iraq]
368035
Al-Basrah [Governorate: Iraq]
372001
Border [Region: Ireland]
372002
Dublin [Region: Ireland]
372003
Mid-East [Region: Ireland]
372004
Midlands [Region: Ireland]
372005
Mid-West [Region: Ireland]
372006
South-East [Region: Ireland]
372007
South-West [Region: Ireland]
372008
West [Region: Ireland]
376001
Jerusalem [District: Israel]
376002
Northern [District: Israel]
376003
Haifa [District: Israel]
376004
Central [District: Israel]
376005
Tel-Aviv [District: Israel]
376006
Southern [District: Israel]
376009
Judea, Samaria, and Gaza areas [District: Israel]
380001
Piemonte-Valle d'Aosta [Region: Italy]
380003
Lombardia [Region: Italy]
380004
Trentino-Alto Adige [Region: Italy]
380005
Veneto [Region: Italy]
380006
Friuli-Venezia Giulia [Region: Italy]
380007
Liguria [Region: Italy]
380008
Emilia-Romagna [Region: Italy]
380009
Toscana [Region: Italy]
380010
Umbria [Region: Italy]
380011
Marche [Region: Italy]
380012
Lazio [Region: Italy]
380013
Abruzzo [Region: Italy]
380014
Molise [Region: Italy]
380015
Campania [Region: Italy]
380016
Puglia [Region: Italy]
380017
Basilicata [Region: Italy]
380018
Calabria [Region: Italy]
380019
Sicilia [Region: Italy]
380020
Sardegna [Region: Italy]
388001
Kingston [Parish: Jamaica]
388002
Saint Andrew [Parish: Jamaica]
388003
Saint Thomas [Parish: Jamaica]
388004
Portland [Parish: Jamaica]
388005
Saint Mary [Parish: Jamaica]
388006
Saint Ann [Parish: Jamaica]
388007
Trelawny [Parish: Jamaica]
388008
Saint James [Parish: Jamaica]
388009
Hanover [Parish: Jamaica]
388010
Westmoreland [Parish: Jamaica]
388011
Saint Elizabeth [Parish: Jamaica]
388012
Manchester [Parish: Jamaica]
388013
Clarendon [Parish: Jamaica]
388014
Saint Catherine [Parish: Jamaica]
400011
Amman [Governorate: Jordan]
400012
Balqa [Governorate: Jordan]
400013
Zarqa [Governorate: Jordan]
400014
Madaba [Governorate: Jordan]
400021
Irbid [Governorate: Jordan]
400022
Mafraq [Governorate: Jordan]
400023
Jarash [Governorate: Jordan]
400024
Ajlun [Governorate: Jordan]
400031
Karak [Governorate: Jordan]
400032
Tafilah [Governorate: Jordan]
400033
Ma'an [Governorate: Jordan]
400034
Aqaba [Governorate: Jordan]
404001
Nairobi [Province: Kenya]
404002
Central Province [Province: Kenya]
404003
Coast Province [Province: Kenya]
404004
Eastern Province [Province: Kenya]
404005
North-Eastern Province [Province: Kenya]
404006
Nyanza Province [Province: Kenya]
404007
Rift Valley Province [Province: Kenya]
404008
Western Province [Province: Kenya]
417001
Gorkenesh Bishkek [Region: Kyrgyz Republic]
417002
Issyk-Kul [Region: Kyrgyz Republic]
417003
Dzhalal-Abad [Region: Kyrgyz Republic]
417004
Naryn [Region: Kyrgyz Republic]
417005
Batken [Region: Kyrgyz Republic]
417006
Oshskaya [Region: Kyrgyz Republic]
417007
Talasskaya [Region: Kyrgyz Republic]
417008
Chuya [Region: Kyrgyz Republic]
430006
Bong [County: Liberia]
430009
Grand Bassa and Rivercess [County: Liberia]
430012
Grand Cape Mount [County: Liberia]
430015
Grand Gedeh and River Gee [County: Liberia]
430021
Lofa and Gbarpolu [County: Liberia]
430027
Maryland and Grand Kru [County: Liberia]
430030
Montserrado, Bomi, and Margibi [County: Liberia]
430033
Nimba [County: Liberia]
430039
Sinoe [County: Liberia]
454101
Chitipa [District: Malawi]
454102
Karonga [District: Malawi]
454103
Nkhata Bay, Likoma [District: Malawi]
454104
Rumphi [District: Malawi]
454105
Mzimba, Mzuzu city [District: Malawi]
454201
Kasungu [District: Malawi]
454202
Nkhota Kota [District: Malawi]
454203
Ntchisi [District: Malawi]
454204
Dowa [District: Malawi]
454205
Salima [District: Malawi]
454206
Lilongwe [District: Malawi]
454207
Mchinji [District: Malawi]
454208
Dedza [District: Malawi]
454209
Ntcheu [District: Malawi]
454301
Mangochi [District: Malawi]
454302
Machinga [District: Malawi]
454303
Zomba [District: Malawi]
454304
Chiradzulu [District: Malawi]
454305
Blantyre [District: Malawi]
454307
Thyolo [District: Malawi]
454308
Mulanje [District: Malawi]
454310
Chikwawa [District: Malawi]
454311
Nsanje [District: Malawi]
454313
Mwanza, Neno [District: Malawi]
458001
Johor [State: Malaysia]
458002
Kedah [State: Malaysia]
458003
Kelantan [State: Malaysia]
458004
Melaka [State: Malaysia]
458005
Negeri Sembilan [State: Malaysia]
458006
Pahang [State: Malaysia]
458007
Pulau Pinang [State: Malaysia]
458008
Perak [State: Malaysia]
458009
Perlis [State: Malaysia]
458010
Selangor and Kuala Lumpur Federal Territory [State: Malaysia]
458011
Terengganu [State: Malaysia]
458012
Sabah and Labuan Federal Territory [State: Malaysia]
458013
Sarawak [State: Malaysia]
466001
Kayes [Region: Mali]
466002
Koulikoro [Region: Mali]
466003
Sikasso [Region: Mali]
466004
Ségou [Region: Mali]
466005
Mopti [Region: Mali]
466006
Tombouctou [Region: Mali]
466007
Gao and Kidal [Region: Mali]
466009
Bamako [Region: Mali]
466099
Unknown [Region: Mali]
484001
Aguascalientes [State: Meico]
484002
Baja California [State: Meico]
484003
Baja California Sur [State: Meico]
484004
Campeche [State: Meico]
484005
Coahuila [State: Meico]
484006
Colima [State: Meico]
484007
Chiapas [State: Meico]
484008
Chihuahua [State: Meico]
484009
Distrito Federal [State: Meico]
484010
Durango [State: Meico]
484011
Guanajuato [State: Meico]
484012
Guerrero [State: Meico]
484013
Hidalgo [State: Meico]
484014
Jalisco [State: Meico]
484015
México [State: Meico]
484016
Michoacán [State: Meico]
484017
Morelos [State: Meico]
484018
Nayarit [State: Meico]
484019
Nuevo León [State: Meico]
484020
Oaxaca [State: Meico]
484021
Puebla [State: Meico]
484022
Querétaro [State: Meico]
484023
Quintana Roo [State: Meico]
484024
San Luis Potosí [State: Meico]
484025
Sinaloa [State: Meico]
484026
Sonora [State: Meico]
484027
Tabasco [State: Meico]
484028
Tamaulipas [State: Meico]
484029
Tlaxcala [State: Meico]
484030
Veracruz [State: Meico]
484031
Yucatán [State: Meico]
484032
Zacatecas [State: Meico]
496001
Arkhangai [Province: Mongolia]
496002
Bayan-Ölgii [Province: Mongolia]
496003
Bayankhongor [Province: Mongolia]
496004
Bulgan [Province: Mongolia]
496005
Govi-Altai [Province: Mongolia]
496006
Dornogovi [Province: Mongolia]
496007
Dornod [Province: Mongolia]
496008
Dundgovi and Govisumber [Province: Mongolia]
496009
Zavkhan [Province: Mongolia]
496010
Övörkhangai [Province: Mongolia]
496011
Ömnögovi [Province: Mongolia]
496012
Sükhbaatar [Province: Mongolia]
496013
Selenge [Province: Mongolia]
496014
Töv [Province: Mongolia]
496015
Uvs [Province: Mongolia]
496016
Khovd [Province: Mongolia]
496017
Khövsgöl [Province: Mongolia]
496018
Khentii [Province: Mongolia]
496019
Darkhan-Uul [Province: Mongolia]
496020
Ulaanbaatar [Province: Mongolia]
496021
Orkhon [Province: Mongolia]
504001
Oued-Ed-Dahab-Lagouira [Region: Morocco]
504002
Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco]
504003
Guelmin-Es-Samara [Region: Morocco]
504004
Souss-Massa-Draâ [Region: Morocco]
504005
Charb-Chrarda-Béni Hssen [Region: Morocco]
504006
Chaouia-Ouardigha [Region: Morocco]
504007
Marrakech-Tensift-Al Haouz [Region: Morocco]
504008
Oriental [Region: Morocco]
504009
Grand-Casablanca [Region: Morocco]
504010
Rabat-Salé-Zemmour-Zaer [Region: Morocco]
504011
Doukala Abda [Region: Morocco]
504012
Tadla Azilal [Region: Morocco]
504013
Meknès-Tafilalet [Region: Morocco]
504014
Fès-Boulemane [Region: Morocco]
504015
Taza-Al Heiceima-Taounate [Region: Morocco]
504016
Tanger-Tétouan [Region: Morocco]
508001
Niassa [Province: Mozambique]
508002
Cabo Delgado [Province: Mozambique]
508003
Nampula [Province: Mozambique]
508004
Zambézia [Province: Mozambique]
508005
Tete [Province: Mozambique]
508006
Manica [Province: Mozambique]
508007
Sofala [Province: Mozambique]
508008
Inhambane [Province: Mozambique]
508009
Gaza [Province: Mozambique]
508010
Maputo province [Province: Mozambique]
508011
Maputo city [Province: Mozambique]
524001
Mechi [Administrative zone: Nepal]
524002
Koshi [Administrative zone: Nepal]
524003
Sagarmatha [Administrative zone: Nepal]
524004
Janakpur [Administrative zone: Nepal]
524005
Bagmati [Administrative zone: Nepal]
524006
Narayani [Administrative zone: Nepal]
524007
Gandaki [Administrative zone: Nepal]
524008
Dhawalagiri [Administrative zone: Nepal]
524009
Lumbini [Administrative zone: Nepal]
524010
Rapti [Administrative zone: Nepal]
524011
Bheri [Administrative zone: Nepal]
524012
Karnali [Administrative zone: Nepal]
524013
Seti [Administrative zone: Nepal]
524014
Mahakali [Administrative zone: Nepal]
558005
Nueva Segovia [Department: Nicaragua]
558010
Jinotega [Department: Nicaragua]
558020
Madríz [Department: Nicaragua]
558030
Chinandega [Department: Nicaragua]
558035
Leon and Esteli [Department: Nicaragua]
558040
Matagalpa [Department: Nicaragua]
558050
Boaco [Department: Nicaragua]
558055
Managua [Department: Nicaragua]
558060
Masaya [Department: Nicaragua]
558065
Chontales [Department: Nicaragua]
558070
Granada [Department: Nicaragua]
558075
Carazo [Department: Nicaragua]
558080
Rivas [Department: Nicaragua]
558085
Río San Juan [Department: Nicaragua]
558093
Atlántico Norte and Atlántico Sur [Department: Nicaragua]
558099
Unknown [Department: Nicaragua]
566001
Abia [State: Nigeria]
566002
Adamawa [State: Nigeria]
566003
Akwa Ibom [State: Nigeria]
566004
Anambra [State: Nigeria]
566005
Bauchi [State: Nigeria]
566006
Bayelsa [State: Nigeria]
566007
Benue [State: Nigeria]
566008
Borno [State: Nigeria]
566009
Cross River [State: Nigeria]
566010
Delta [State: Nigeria]
566011
Ebonyi [State: Nigeria]
566012
Edo [State: Nigeria]
566013
Ekiti [State: Nigeria]
566014
Enugu [State: Nigeria]
566015
Gombe [State: Nigeria]
566016
Imo [State: Nigeria]
566017
Jigawa [State: Nigeria]
566018
Kaduna [State: Nigeria]
566019
Kano [State: Nigeria]
566020
Katsina [State: Nigeria]
566021
Kebbi [State: Nigeria]
566022
Kogi [State: Nigeria]
566023
Kwara [State: Nigeria]
566024
Lagos [State: Nigeria]
566025
Nasarawa [State: Nigeria]
566026
Niger [State: Nigeria]
566027
Ogun [State: Nigeria]
566028
Ondo [State: Nigeria]
566029
Osun [State: Nigeria]
566030
Oyo [State: Nigeria]
566031
Plateau [State: Nigeria]
566032
Rivers [State: Nigeria]
566033
Sokoto [State: Nigeria]
566034
Taraba [State: Nigeria]
566035
Yobe [State: Nigeria]
566036
Zamfara [State: Nigeria]
566037
Federal Capital Territory Abuja [State: Nigeria]
566099
Unknown [State: Nigeria]
586001
North-West Frontier Province [Province: Pakistan]
586002
Fata [Province: Pakistan]
586003
Punjab, Islamabad [Province: Pakistan]
586004
Sind [Province: Pakistan]
586005
Baluchistan [Province: Pakistan]
586007
Northern areas [Province: Pakistan]
586008
Kashmir [Province: Pakistan]
591002
Coclé [Province: Panama]
591003
Colón, Comarca Kuna Yala (San Blas) [Province: Panama]
591004
Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama]
591005
Comarca Emberá, Darién [Province: Panama]
591006
Herrera [Province: Panama]
591007
Los Santos [Province: Panama]
591008
Panamá [Province: Panama]
600000
Asunción [Department: Paraguay]
600001
Concepción [Department: Paraguay]
600002
San Pedro [Department: Paraguay]
600007
Itapúa [Department: Paraguay]
600008
Misiones and Ñeembucú [Department: Paraguay]
600009
Guairá, Caazapá, and Paraguarí [Department: Paraguay]
600010
Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay]
600011
Central [Department: Paraguay]
600013
Amambay [Department: Paraguay]
600015
Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay]
600099
Unknown [Department: Paraguay]
604001
Amazonas [Region: Peru]
604002
Ancash [Region: Peru]
604003
Apurímac [Region: Peru]
604004
Arequipa [Region: Peru]
604005
Ayacucho [Region: Peru]
604006
Cajamarca [Region: Peru]
604007
Callao [Region: Peru]
604008
Cusco [Region: Peru]
604009
Huancavelica [Region: Peru]
604010
Huánuco [Region: Peru]
604011
Ica [Region: Peru]
604012
Junín [Region: Peru]
604013
La Libertad [Region: Peru]
604014
Lambayeque [Region: Peru]
604015
Lima [Region: Peru]
604016
Loreto [Region: Peru]
604017
Madre de Dios [Region: Peru]
604018
Moquegua [Region: Peru]
604019
Pasco [Region: Peru]
604020
Piura [Region: Peru]
604021
Puno [Region: Peru]
604022
San Martín [Region: Peru]
604023
Tacna [Region: Peru]
604024
Tumbes [Region: Peru]
604025
Ucayali [Region: Peru]
608001
Ilocos [Region: Philippines]
608002
Cagayan Valley [Region: Philippines]
608003
Central Luzon [Region: Philippines]
608004
Southern Tagalog [Region: Philippines]
608005
Bicol [Region: Philippines]
608006
Western Visayas [Region: Philippines]
608007
Central Visayas [Region: Philippines]
608008
Eastern Visayas [Region: Philippines]
608009
Western Mindanao [Region: Philippines]
608011
Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines]
608012
Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines]
608013
National Capital Region [Region: Philippines]
608014
Cordillera Administrative Region [Region: Philippines]
620111
Minho-Lima [Subregion: Portugal]
620112
Cávado [Subregion: Portugal]
620113
Ave [Subregion: Portugal]
620114
Grande Porto [Subregion: Portugal]
620115
Tâmega [Subregion: Portugal]
620116
Entre Douro e Vouga [Subregion: Portugal]
620117
Douro [Subregion: Portugal]
620118
Alto Trás-os-Montes [Subregion: Portugal]
620150
Algarve [Subregion: Portugal]
620161
Baixo Vouga [Subregion: Portugal]
620162
Baixo Mondego [Subregion: Portugal]
620163
Pinhal Litoral [Subregion: Portugal]
620165
Dão-Lafões [Subregion: Portugal]
620166
Oeste [Subregion: Portugal]
620167
Médio Tejo [Subregion: Portugal]
620169
Other Center [Subregion: Portugal]
620171
Grande Lisboa [Subregion: Portugal]
620172
Península de Setúbal [Subregion: Portugal]
620185
Lezíria do Tejo [Subregion: Portugal]
620189
Other Alentejo [Subregion: Portugal]
620200
Região Autónoma dos Açores [Subregion: Portugal]
620300
Região Autónoma da Madeira [Subregion: Portugal]
630101
G7201001 [PUMA: Puerto Rico]
630104
G7201002, G7201003, G7201004 [PUMA: Puerto Rico]
630110
G7201100 [PUMA: Puerto Rico]
630180
G7201800 [PUMA: Puerto Rico]
630200
G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico]
630250
G7202500 [PUMA: Puerto Rico]
642001
Alba [County: Romania]
642002
Arad [County: Romania]
642003
Arges [County: Romania]
642004
Bacau [County: Romania]
642005
Bihor [County: Romania]
642006
Bistrita Nasaud [County: Romania]
642007
Botosani [County: Romania]
642008
Brasov [County: Romania]
642009
Braila [County: Romania]
642010
Buzau [County: Romania]
642011
Caras Severin [County: Romania]
642012
Cluj [County: Romania]
642013
Constanta [County: Romania]
642014
Covasna [County: Romania]
642015
Dimbovita [County: Romania]
642016
Dolj [County: Romania]
642017
Galati [County: Romania]
642018
Gorj [County: Romania]
642019
Harghita [County: Romania]
642020
Hunedoara [County: Romania]
642022
Iasi [County: Romania]
642024
Maramures [County: Romania]
642025
Mehedinti [County: Romania]
642026
Mures [County: Romania]
642027
Neamt [County: Romania]
642028
Olt [County: Romania]
642029
Prahova [County: Romania]
642030
Satu Mare [County: Romania]
642031
Salaj [County: Romania]
642032
Sibiu [County: Romania]
642033
Suceava [County: Romania]
642034
Teleorman [County: Romania]
642035
Timis [County: Romania]
642036
Tulcea [County: Romania]
642037
Vaslui [County: Romania]
642038
Valcea [County: Romania]
642039
Vrancea [County: Romania]
642043
Bucharest Sector 1 to 6 [County: Romania]
642051
Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]
646001
Kigali City [Province: Rwanda]
646002
Kigali Ngali [Province: Rwanda]
646004
Gitarama [Province: Rwanda]
646005
Butare [Province: Rwanda]
646006
Gikongoro [Province: Rwanda]
646007
Cyangugu [Province: Rwanda]
646008
Kibuye [Province: Rwanda]
646009
Gisenyi [Province: Rwanda]
646010
Ruhengeri [Province: Rwanda]
646012
Byumba, Kibungo and Umutara [Province: Rwanda]
686001
Dakar [Region: Senegal]
686002
Diourbel [Region: Senegal]
686003
Fatick [Region: Senegal]
686004
Kaolack [Region: Senegal]
686005
Kolda [Region: Senegal]
686008
Louga, Saint Louis, Matam [Region: Senegal]
686009
Tambacounda [Region: Senegal]
686010
Thiès [Region: Senegal]
686011
Ziguinchor [Region: Senegal]
694011
Kailahun [District: Sierra Leone]
694012
Kenema [District: Sierra Leone]
694013
Kono [District: Sierra Leone]
694021
Bombali [District: Sierra Leone]
694022
Kambia [District: Sierra Leone]
694023
Koinadugu [District: Sierra Leone]
694024
Port Loko [District: Sierra Leone]
694025
Tonkolili [District: Sierra Leone]
694031
Bo [District: Sierra Leone]
694032
Bonthe [District: Sierra Leone]
694033
Moyamba [District: Sierra Leone]
694034
Pujehun [District: Sierra Leone]
694041
Western - rural [District: Sierra Leone]
694042
Western - urban [District: Sierra Leone]
704001
Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam]
704002
Ha Giang and Tuyen Quang [Province: Vietnam]
704004
Cao Bang [Province: Vietnam]
704014
Son La [Province: Vietnam]
704015
Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam]
704019
Bac Kan and Thai Nguyen [Province: Vietnam]
704020
Lang Son [Province: Vietnam]
704022
Quang Ninh [Province: Vietnam]
704024
Bac Giang, and Bac Ninh [Province: Vietnam]
704030
Hai Duong and Hung Yen [Province: Vietnam]
704031
Hai Phong [Province: Vietnam]
704034
Thai Binh [Province: Vietnam]
704038
Thanh Hoa [Province: Vietnam]
704040
Nghe An and Ha Tinh [Province: Vietnam]
704046
Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam]
704049
Da Nang and Quang Nam [Province: Vietnam]
704051
Binh Dinh and Quang Ngai [Province: Vietnam]
704054
Phu Yen and Khanh Hoa [Province: Vietnam]
704060
Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam]
704062
Gia Lai and Kon Tum [Province: Vietnam]
704066
Dak Lak and Dak Nong [Province: Vietnam]
704068
Lam Dong [Province: Vietnam]
704072
Tay Ninh [Province: Vietnam]
704074
Binh Duong and Binh Phuoc [Province: Vietnam]
704075
Dong Nai and Ba Ria - Vung Tau [Province: Vietnam]
704079
Ho Chi Minh City [Province: Vietnam]
704080
Long An [Province: Vietnam]
704082
Tien Giang [Province: Vietnam]
704083
Ben Tre [Province: Vietnam]
704086
Vinh Long and Tra Vinh [Province: Vietnam]
704087
Dong Thap [Province: Vietnam]
704089
An Giang [Province: Vietnam]
704091
Kien Giang [Province: Vietnam]
704094
Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam]
704096
Bac Lieu and Ca Mau [Province: Vietnam]
705001
Pomurska [Region: Slovenia]
705002
Podravska [Region: Slovenia]
705003
Koroška [Region: Slovenia]
705004
Savinjska [Region: Slovenia]
705005
Zasavska [Region: Slovenia]
705006
Spodnjeposavska [Region: Slovenia]
705007
Jugovzhodna Slovenija [Region: Slovenia]
705008
Osrednjeslovenska [Region: Slovenia]
705009
Gorenjska [Region: Slovenia]
705010
Notranjsko-kraška [Region: Slovenia]
705011
Goriška [Region: Slovenia]
705012
Obalno-kraška [Region: Slovenia]
705099
Unknown [Region: Slovenia]
710001
Western Cape [Province: South Africa]
710004
Free State [Province: South Africa]
710005
Eastern Cape, KwaZulu-Natal [Province: South Africa]
710007
Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]
710999
Unknown [Province: South Africa]
724011
Galicia [Communities and Autonomous Cities: Spain]
724012
Principado de Asturias [Communities and Autonomous Cities: Spain]
724013
Cantabria [Communities and Autonomous Cities: Spain]
724021
País Vasco [Communities and Autonomous Cities: Spain]
724022
Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain]
724023
La Rioja [Communities and Autonomous Cities: Spain]
724024
Aragón [Communities and Autonomous Cities: Spain]
724030
Comunidad de Madrid [Communities and Autonomous Cities: Spain]
724041
Castilla y León [Communities and Autonomous Cities: Spain]
724042
Castilla-La Mancha [Communities and Autonomous Cities: Spain]
724043
Extremadura [Communities and Autonomous Cities: Spain]
724051
Cataluña [Communities and Autonomous Cities: Spain]
724052
Comunidad Valenciana [Communities and Autonomous Cities: Spain]
724053
Illes Balears [Communities and Autonomous Cities: Spain]
724061
Andalucía [Communities and Autonomous Cities: Spain]
724062
Región de Murcia [Communities and Autonomous Cities: Spain]
724063
Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain]
724064
Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain]
724070
Canarias [Communities and Autonomous Cities: Spain]
724099
Unknown [Communities and Autonomous Cities: Spain]
728071
Upper Nile [State: South Sudan]
728072
Jonglei [State: South Sudan]
728073
Unity [State: South Sudan]
728081
Warrap [State: South Sudan]
728082
Northern Bahr El Ghazal [State: South Sudan]
728083
Western Bahr El Ghazal [State: South Sudan]
728084
Lakes [State: South Sudan]
728091
Western Equatoria [State: South Sudan]
728092
Central Equatoria [State: South Sudan]
728093
Eastern Equatoria [State: South Sudan]
729011
Northern [State: Sudan]
729012
Nahr El Nil [State: Sudan]
729021
Red Sea [State: Sudan]
729022
Kassala [State: Sudan]
729023
Al Gedarif [State: Sudan]
729031
Khartoum [State: Sudan]
729041
Al Gezira [State: Sudan]
729042
White Nile [State: Sudan]
729043
Sinnar [State: Sudan]
729044
Blue Nile [State: Sudan]
729051
North Kordofan [State: Sudan]
729052
South Kordofan [State: Sudan]
729061
North Darfur [State: Sudan]
729062
West Darfur [State: Sudan]
729063
South Darfur [State: Sudan]
756001
Zurich [Canton: Switzerland]
756002
Bern [Canton: Switzerland]
756003
Luzern (Lucerne) [Canton: Switzerland]
756004
Uri [Canton: Switzerland]
756005
Schwyz [Canton: Switzerland]
756006
Obwalden (Obwald) [Canton: Switzerland]
756007
Nidwalden (Nidwald) [Canton: Switzerland]
756008
Glarus [Canton: Switzerland]
756009
Zug [Canton: Switzerland]
756010
Fribourg [Canton: Switzerland]
756011
Solothurn [Canton: Switzerland]
756012
Basel-Stadt (Basel-City) [Canton: Switzerland]
756013
Basel-Landschaft (Basel-Country) [Canton: Switzerland]
756014
Schaffhausen [Canton: Switzerland]
756015
Outer and Inner Rhodes [Canton: Switzerland]
756017
St. Gallen (St. Gall) [Canton: Switzerland]
756018
Graubundun (Grisons) [Canton: Switzerland]
756019
Aargau (Argovia) [Canton: Switzerland]
756020
Thurgau (Thurgovia) [Canton: Switzerland]
756021
Ticino [Canton: Switzerland]
756022
Vaud [Canton: Switzerland]
756023
Valais [Canton: Switzerland]
756024
Neuchatel [Canton: Switzerland]
756025
Geneva [Canton: Switzerland]
756026
Jura [Canton: Switzerland]
764010
Bangkok [Province: Thailand]
764011
Samut Prakan [Province: Thailand]
764012
Nonthaburi [Province: Thailand]
764013
Pathum Thani [Province: Thailand]
764014
Phra Nakhon si Ayutthaya [Province: Thailand]
764015
Ang Thong [Province: Thailand]
764016
Lop Buri [Province: Thailand]
764017
Sing Buri [Province: Thailand]
764018
Chai Nat [Province: Thailand]
764019
Prachin Buri and Sa Kaeo [Province: Thailand]
764020
Chon Buri [Province: Thailand]
764021
Rayong [Province: Thailand]
764022
Chanthaburi [Province: Thailand]
764023
Trat [Province: Thailand]
764024
Chachoengsao [Province: Thailand]
764026
Nakhon Nayok [Province: Thailand]
764027
Saraburi [Province: Thailand]
764030
Nakhon Ratchasima [Province: Thailand]
764031
Buri Ram [Province: Thailand]
764032
Surin [Province: Thailand]
764033
Si Sa Ket [Province: Thailand]
764034
Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand]
764036
Chaiyaphum [Province: Thailand]
764040
Khon Kaen [Province: Thailand]
764041
Udon Thani and Nong Bua Lam Phu [Province: Thailand]
764042
Loei [Province: Thailand]
764043
Nong Khai [Province: Thailand]
764044
Maha Sarakham [Province: Thailand]
764045
Roi Et [Province: Thailand]
764046
Kalasin [Province: Thailand]
764047
Sakon Nakhon [Province: Thailand]
764048
Nakhon Phanom and Mukdahan [Province: Thailand]
764050
Chiang Mai [Province: Thailand]
764051
Lamphun [Province: Thailand]
764052
Lampang [Province: Thailand]
764053
Uttaradit [Province: Thailand]
764054
Phrae [Province: Thailand]
764055
Nan [Province: Thailand]
764057
Chiang Rai and Phayao [Province: Thailand]
764058
Mae Hong Son [Province: Thailand]
764060
Nakhon Sawan [Province: Thailand]
764061
Uthai Thani [Province: Thailand]
764062
Kamphaeng Phet [Province: Thailand]
764063
Tak [Province: Thailand]
764064
Sukhothai [Province: Thailand]
764065
Phitsanulok [Province: Thailand]
764066
Phichit [Province: Thailand]
764067
Phetchabun [Province: Thailand]
764070
Ratchaburi [Province: Thailand]
764071
Kanchanaburi [Province: Thailand]
764072
Suphanburi [Province: Thailand]
764073
Nakhon Pathom [Province: Thailand]
764074
Samut Sakhon [Province: Thailand]
764075
Samut Songkhram [Province: Thailand]
764076
Phetchaburi [Province: Thailand]
764077
Prachuap Khiri Khan [Province: Thailand]
764080
Nakhon Si Thammarat [Province: Thailand]
764081
Krabi [Province: Thailand]
764082
Phangnga [Province: Thailand]
764083
Phuket [Province: Thailand]
764084
Surat Thani [Province: Thailand]
764085
Ranong [Province: Thailand]
764086
Chumphon [Province: Thailand]
764090
Songkhla [Province: Thailand]
764091
Satun [Province: Thailand]
764092
Trang [Province: Thailand]
764093
Phatthalung [Province: Thailand]
764094
Pattani [Province: Thailand]
764095
Yala [Province: Thailand]
764096
Narathiwat [Province: Thailand]
792001
Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey]
792002
Adiyaman [Province: Turkey]
792003
Afyon [Province: Turkey]
792004
Agri [Province: Turkey]
792005
Amasya [Province: Turkey]
792006
Ankara and Kirikkale [Province: Turkey]
792007
Antalya [Province: Turkey]
792008
Artvin [Province: Turkey]
792009
Aydin [Province: Turkey]
792010
Balikesir [Province: Turkey]
792011
Bilecik [Province: Turkey]
792012
Bingöl [Province: Turkey]
792013
Bitlis [Province: Turkey]
792014
Bolu and Düzce [Province: Turkey]
792015
Burdur [Province: Turkey]
792017
Çanakkale [Province: Turkey]
792019
Çorum [Province: Turkey]
792020
Denizli [Province: Turkey]
792021
Diyarbakir [Province: Turkey]
792022
Edirne [Province: Turkey]
792023
Elazig [Province: Turkey]
792024
Erzincan [Province: Turkey]
792025
Erzurum [Province: Turkey]
792026
Eskisehir [Province: Turkey]
792028
Giresun [Province: Turkey]
792029
Gümüshane and Bayburt [Province: Turkey]
792031
Hatay [Province: Turkey]
792032
Isparta [Province: Turkey]
792033
Mersin (içel) [Province: Turkey]
792034
Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey]
792035
Izmir [Province: Turkey]
792036
Kars, Ardahan and Igdir [Province: Turkey]
792037
Kastamonu [Province: Turkey]
792038
Kayseri [Province: Turkey]
792039
Kirklareli [Province: Turkey]
792040
Kirsehir [Province: Turkey]
792042
Konya and Karaman [Province: Turkey]
792043
Kütahya [Province: Turkey]
792044
Malatya [Province: Turkey]
792045
Manisa [Province: Turkey]
792046
Kahramanmaras [Province: Turkey]
792047
Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey]
792048
Mugla [Province: Turkey]
792049
Mus [Province: Turkey]
792050
Nevsehir [Province: Turkey]
792051
Nigde and Aksaray [Province: Turkey]
792052
Ordu [Province: Turkey]
792053
Rize [Province: Turkey]
792054
Sakarya [Province: Turkey]
792055
Samsun [Province: Turkey]
792057
Sinop [Province: Turkey]
792058
Sivas [Province: Turkey]
792059
Tekirdag [Province: Turkey]
792060
Tokat [Province: Turkey]
792061
Trabzon [Province: Turkey]
792062
Tunceli [Province: Turkey]
792063
Sanliurfa [Province: Turkey]
792064
Usak [Province: Turkey]
792065
Van [Province: Turkey]
792066
Yozgat [Province: Turkey]
792067
Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey]
800101
Kalangala [District: Uganda]
800102
Kampala [District: Uganda]
800103
Kiboga [District: Uganda]
800104
Luwero and Nakasongola [District: Uganda]
800105
Masaka and Sembabule [District: Uganda]
800107
Mubende [District: Uganda]
800108
Mukono and Kayunga [District: Uganda]
800110
Rakai [District: Uganda]
800113
Mpigi and Wakiso [District: Uganda]
800203
Iganga, Buguri, and Mayuge [District: Uganda]
800204
Jinja [District: Uganda]
800205
Kamuli [District: Uganda]
800206
Kapchorwa [District: Uganda]
800208
Kumi [District: Uganda]
800209
Mbale and Sironko [District: Uganda]
800210
Pallisa [District: Uganda]
800211
Soroti, Katakwi, and Kaberamaido [District: Uganda]
800212
Busia and Tororo [District: Uganda]
800301
Moyo and Adjumani [District: Uganda]
800302
Apac [District: Uganda]
800303
Arua and Yumbe [District: Uganda]
800304
Gulu [District: Uganda]
800306
Kotido [District: Uganda]
800307
Lira [District: Uganda]
800308
Moroto and Nakapiripirit [District: Uganda]
800310
Nebbi [District: Uganda]
800312
Kitgum and Pader [District: Uganda]
800401
Bundibugyo [District: Uganda]
800403
Hoima [District: Uganda]
800404
Kabale [District: Uganda]
800405
Kabarole, Kamwenge, and Kyenjojo [District: Uganda]
800406
Kasese [District: Uganda]
800407
Kibaale [District: Uganda]
800408
Kisoro [District: Uganda]
800409
Masindi [District: Uganda]
800410
Bushenyi, Mbarara, and Ntungamo [District: Uganda]
800412
Rukungiri and Kanungu [District: Uganda]
800999
Unknown [District: Uganda]
804001
The Autonomous Republic of Crimea [Region: Ukraine]
804005
Vinnytska oblast [Region: Ukraine]
804007
Volynska oblast [Region: Ukraine]
804012
Dnipropetrovska oblast [Region: Ukraine]
804014
Donetska oblast [Region: Ukraine]
804018
Zhytomyrska oblast [Region: Ukraine]
804021
Zakarpatska oblast [Region: Ukraine]
804023
Zaporizka oblast [Region: Ukraine]
804026
Ivano-Frankivska oblast [Region: Ukraine]
804032
Kyivska oblast [Region: Ukraine]
804035
Kirovohradska oblast [Region: Ukraine]
804044
Luhanska oblast [Region: Ukraine]
804046
Lvivska oblast [Region: Ukraine]
804048
Mykolaivska oblast [Region: Ukraine]
804051
Odeska oblast [Region: Ukraine]
804053
Poltavska oblast [Region: Ukraine]
804056
Rivnenska oblast [Region: Ukraine]
804059
Sumska oblast [Region: Ukraine]
804061
Ternopilska oblast [Region: Ukraine]
804063
Kharkivska oblast [Region: Ukraine]
804065
Khersonska oblast [Region: Ukraine]
804068
Khmelnytska oblast [Region: Ukraine]
804071
Cherkaska oblast [Region: Ukraine]
804073
Chernivetska oblast [Region: Ukraine]
804074
Chernihivska oblast [Region: Ukraine]
804080
Kyiv [Region: Ukraine]
804085
Sevastopol [Region: Ukraine]
818001
Cairo [Governorate: Egypt]
818002
Alexandria [Governorate: Egypt]
818003
Port Said [Governorate: Egypt]
818004
Suez [Governorate: Egypt]
818011
Damietta [Governorate: Egypt]
818012
Dakahlia [Governorate: Egypt]
818013
Sharkia [Governorate: Egypt]
818014
Kaliobia [Governorate: Egypt]
818015
Kafr Sheikh [Governorate: Egypt]
818016
Gharbia [Governorate: Egypt]
818017
Menoufia [Governorate: Egypt]
818018
Behera [Governorate: Egypt]
818019
Ismailia [Governorate: Egypt]
818021
Giza [Governorate: Egypt]
818022
Bani Swif [Governorate: Egypt]
818023
Fayoum [Governorate: Egypt]
818024
Menia [Governorate: Egypt]
818025
Asiut [Governorate: Egypt]
818026
Sohag [Governorate: Egypt]
818027
Qena [Governorate: Egypt]
818028
Aswan [Governorate: Egypt]
818029
Luxor [Governorate: Egypt]
818031
Red Sea [Governorate: Egypt]
818032
New Valley [Governorate: Egypt]
818033
Marsa Matroh [Governorate: Egypt]
818034
North Sinai [Governorate: Egypt]
818035
South Sinai [Governorate: Egypt]
826011
North East [Region: United Kingdom]
826013
North West [Region: United Kingdom]
826014
Yorkshire and the Humber [Region: United Kingdom]
826021
East Midlands [Region: United Kingdom]
826022
West Midlands [Region: United Kingdom]
826031
East of England [Region: United Kingdom]
826032
South East and London [Region: United Kingdom]
826040
South West [Region: United Kingdom]
826060
Scotland [Region: United Kingdom]
826070
Wales [Region: United Kingdom]
826080
Northern Ireland [Region: United Kingdom]
834001
Dodoma [Region: Tanzania]
834003
Kilimanjaro [Region: Tanzania]
834004
Tanga [Region: Tanzania]
834005
Morogoro [Region: Tanzania]
834006
Pwani [Region: Tanzania]
834007
Dar es Salaam [Region: Tanzania]
834008
Lindi [Region: Tanzania]
834009
Mtwara [Region: Tanzania]
834010
Ruvumba [Region: Tanzania]
834011
Iringa [Region: Tanzania]
834012
Mbeya [Region: Tanzania]
834013
Singida [Region: Tanzania]
834014
Tabora [Region: Tanzania]
834015
Rukwa [Region: Tanzania]
834016
Kigoma [Region: Tanzania]
834017
Shinyanga [Region: Tanzania]
834018
Kagera [Region: Tanzania]
834019
Mwanza [Region: Tanzania]
834020
Mara [Region: Tanzania]
834021
Arusha and Manyara [Region: Tanzania]
834051
Zanzibar North [Region: Tanzania]
834052
Zanzibar South [Region: Tanzania]
834053
Zanzibar Town/West [Region: Tanzania]
834054
Pemba North [Region: Tanzania]
834055
Pemba South [Region: Tanzania]
840001
Alabama [State: U.S.]
840002
Alaska [State: U.S.]
840004
Arizona [State: U.S.]
840005
Arkansas [State: U.S.]
840006
California [State: U.S.]
840008
Colorado [State: U.S.]
840009
Connecticut [State: U.S.]
840010
Delaware [State: U.S.]
840011
District of Columbia [State: U.S.]
840012
Florida [State: U.S.]
840013
Georgia [State: U.S.]
840015
Hawaii [State: U.S.]
840016
Idaho [State: U.S.]
840017
Illinois [State: U.S.]
840018
Indiana [State: U.S.]
840019
Iowa [State: U.S.]
840020
Kansas [State: U.S.]
840021
Kentucky [State: U.S.]
840022
Louisiana [State: U.S.]
840023
Maine [State: U.S.]
840024
Maryland [State: U.S.]
840025
Massachusetts [State: U.S.]
840026
Michigan [State: U.S.]
840027
Minnesota [State: U.S.]
840028
Mississippi [State: U.S.]
840029
Missouri [State: U.S.]
840030
Montana [State: U.S.]
840031
Nebraska [State: U.S.]
840032
Nevada [State: U.S.]
840033
New Hampshire [State: U.S.]
840034
New Jersey [State: U.S.]
840035
New Mexico [State: U.S.]
840036
New York [State: U.S.]
840037
North Carolina [State: U.S.]
840038
North Dakota [State: U.S.]
840039
Ohio [State: U.S.]
840040
Oklahoma [State: U.S.]
840041
Oregon [State: U.S.]
840042
Pennsylvania [State: U.S.]
840044
Rhode Island [State: U.S.]
840045
South Carolina [State: U.S.]
840046
South Dakota [State: U.S.]
840047
Tennessee [State: U.S.]
840048
Texas [State: U.S.]
840049
Utah [State: U.S.]
840050
Vermont [State: U.S.]
840051
Virginia [State: U.S.]
840053
Washington [State: U.S.]
840054
West Virginia [State: U.S.]
840055
Wisconsin [State: U.S.]
840056
Wyoming [State: U.S.]
840099
State not identified [State: U.S.]
854001
Boucle du Mouhoun [Region: Burkina Faso]
854002
Cascades [Region: Burkina Faso]
854003
Centre [Region: Burkina Faso]
854004
Centre-Est [Region: Burkina Faso]
854005
Centre-Nord [Region: Burkina Faso]
854006
Centre-Ouest [Region: Burkina Faso]
854007
Centre-Sud [Region: Burkina Faso]
854008
Est [Region: Burkina Faso]
854009
Hauts-Bassins [Region: Burkina Faso]
854010
Nord [Region: Burkina Faso]
854011
Plateau Central [Region: Burkina Faso]
854012
Sahel [Region: Burkina Faso]
854013
Sud-Ouest [Region: Burkina Faso]
858001
Montevideo [Department: Uruguay]
858002
Artigas [Department: Uruguay]
858003
Canelones [Department: Uruguay]
858004
Cerro Largo [Department: Uruguay]
858005
Colonia [Department: Uruguay]
858006
Durazno [Department: Uruguay]
858007
Flores [Department: Uruguay]
858008
Florida [Department: Uruguay]
858009
Lavalleja [Department: Uruguay]
858010
Maldonado [Department: Uruguay]
858011
Paysandú [Department: Uruguay]
858012
Río Negro [Department: Uruguay]
858013
Rivera [Department: Uruguay]
858014
Rocha [Department: Uruguay]
858015
Salto [Department: Uruguay]
858016
San Jose [Department: Uruguay]
858017
Soriano [Department: Uruguay]
858018
Tacuarembó [Department: Uruguay]
858019
Treinta Y Tres [Department: Uruguay]
862001
Federal District, Vargas [State: Venezuela]
862002
Amazonas Federal Territory [State: Venezuela]
862003
Anzoátegui [State: Venezuela]
862004
Apure [State: Venezuela]
862005
Aragua [State: Venezuela]
862007
Bolívar [State: Venezuela]
862008
Carabobo [State: Venezuela]
862009
Cojedes [State: Venezuela]
862010
Amacuros Delta Federal Territory [State: Venezuela]
862011
Falcón [State: Venezuela]
862012
Guárico [State: Venezuela]
862013
Lara [State: Venezuela]
862014
Barinas, Mérida [State: Venezuela]
862015
Miranda [State: Venezuela]
862016
Monagas [State: Venezuela]
862017
Nueva Esparta, Federal Dependencies [State: Venezuela]
862018
Portuguesa [State: Venezuela]
862019
Sucre [State: Venezuela]
862020
Táchira [State: Venezuela]
862021
Trujillo [State: Venezuela]
862022
Yaracuy [State: Venezuela]
862023
Zulia [State: Venezuela]
894001
Central [Province: Zambia]
894002
Copperbelt [Province: Zambia]
894003
Eastern, Muchinga, Northern [Province: Zambia]
894004
Luapula [Province: Zambia]
894005
Lusaka [Province: Zambia]
894008
North Western [Province: Zambia]
894009
Southern [Province: Zambia]
894010
Western [Province: Zambia]
GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
All households
This variable indicates the dwelling number.
This is a 6-digit numeric variable with 0 implied decimal places
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 households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
This variable indicates the number of persons in the household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Urban/rural
Urban/rural
Urban/rural
Urban/rural
Urban/rural
Urban/rural
All households
1
Urban area
2
Rural area
This variable indicates whether household is located in urban or rural area.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Order number of the household in the dwelling
Order number of the household in the dwelling
Order number of the household in the dwelling
Order number of the household in the dwelling
Order number of the household in the dwelling
_ Household order number
All households
1
1
2
2
3
3
4
4
5
5
6
6
This variable indicates the order number of the household in the dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Designation of the building
Designation of the building
Designation of the building
Designation of the building
Designation of the building
Chap. III Data on the building where the dwelling is located
To completed by the first dwelling in the building
16 Building usage
[] 1 Exclusively residential
[] 2 Other purposes that allow dwellings
[] 3 Units of communal living where there are dwellings
[] 4 Building under construction but partially occupied
All households
1
For living
2
Other designation, but having dwellings
3
Collective housing units where dwellings are existing
4
Building under construction, partially occupied
This variable indicates the actual designation of the building.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Year of construction
Year of construction
Year of construction
Year of construction
Year of construction
Chap. III Data on the building where the dwelling is located
To completed by the first dwelling in the building
17 Year of construction
19 _ _
All households
1900 or earlier
1
1901
2
1902
3
1903
4
1904
5
1905
6
1906
7
1907
8
1908
9
1909
10
1910
11
1911
12
1912
13
1913
14
1914
15
1915
16
1916
17
1917
18
1918
19
1919
20
1920
21
1921
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
99
Undeclared
This variable indicates the year of construction.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Material used for outer walls
Material used for outer walls
Material used for outer walls
Material used for outer walls
Material used for outer walls
Chap. III Data on the building where the dwelling is located
To completed by the first dwelling in the building
18 Material of external walls
[] 1 Reinforced concrete or prefabricated concrete
Brick, stone, or substitutes, with floors made of:
[] 2 Reinforced concrete
[] 3 Wood
[] 4 Wood (beams, logs, etc)
[] 5 Half-timber, adobe, other materials
All households
1
Reinforced concrete, pre-cast concrete panels or steel skeleton framed concrete
2
Brick, stone, or substitutes, with dividing panels between floors made of reinforced concrete (metallic beams)
3
Brick, stone, or substitutes, with dividing panels between floors made of wood
4
Wood (beams, logs etc.)
5
Saplings plastered with wet clay, adobe, and other materials; wood pressed panels; rolled mud bricks; etc.
9
Unknown
This variable indicates the material used for the outer walls construction.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Type of building
Type of building
Type of building
Type of building
Type of building
Type of building
All households
Non-conventional housing unit
1
For living, with 1 dwelling
2
For living, with 2 or more dwellings
3
For living - block
4
Other, having dwellings
5
Collective housing units with dwellings
This variable indicates the type of building.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Top floor of the building
Top floor of the building
Top floor of the building
Top floor of the building
Top floor of the building
Top floor of the building
Conventional households; not collective, partially occupied, or under construction
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10+
30
Basement
40
Semi-basement
50
Ground floor
60
Mezzanine
70
Attic
This variable indicates the top floor of the building.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Type of ownership, building
Type of ownership, building
Type of ownership, building
Type of ownership, building
Type of ownership, building
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
3 Type of ownership
[] 1 Private
[] 2 State-owned
[] 3 Religious institution-owned
[] 4 Other type of ownership
Conventional households
1
Private
2
Public
3
Religious cults
4
Other
5
Mixed
9
NIU (not in universe)
This variable indicates the type ownership of the building.
Household Economic Variables -- HOUSEHOLD
IPUMS
Water supply system, building
Water supply system, building
Water supply system, building
Water supply system, building
Water supply system, building
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
5 Water supply installation
Has water supply installation in dwelling from:
[] 1 public network
[] 2 private supply system
Does not have water installation in dwelling; water supply source is located:
[] 3 outside the dwelling but in the building
[] 4 outside the building
Conventional households; not collective, partially occupied, or under construction
1
Public network
2
Own system
3
Without water supply system
9
NIU (not in universe)
This variable indicates how water is supplied to the building.
Utilities Variables -- HOUSEHOLD
IPUMS
Sewage system, building
Sewage system, building
Sewage system, building
Sewage system, building
Sewage system, building
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
7 Sewer installation
[] 1 Public network
[] 2 Private supply system
[] 3 None
Conventional households; not collective, partially occupied, or under construction
1
Public network
2
Own system
3
Without sewage installation
9
NIU (not in universe)
This variable indicates the kind of sewage system.
Utilities Variables -- HOUSEHOLD
IPUMS
Electricity, building
Electricity, building
Electricity, building
Electricity, building
Electricity, building
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
8 Electricity
[] 1 Yes
[] 2 No
Conventional households; not collective, partially occupied, or under construction
1
Yes
2
No
9
NIU (not in universe)
This variable indicates electricity for the building.
Utilities Variables -- HOUSEHOLD
IPUMS
Gas for cooking, building
Gas for cooking, building
Gas for cooking, building
Gas for cooking, building
Gas for cooking, building
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
9 Gas for cooking
[] 1 Public network
[] 2 Gas cylinder
[] 3 No
Conventional households; not collective, partially occupied, or under construction
1
Piped gas from public network
2
Liquefied gas
3
Without gas
9
NIU (not in universe)
This variable indicates the type of cooking gas supplied to the building.
Utilities Variables -- HOUSEHOLD
IPUMS
Main type of heating, building
Main type of heating, building
Main type of heating, building
Main type of heating, building
Main type of heating, building
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
10 Means of heating
[] 1 District heating
Heating station running on:
[] 2 Gas
[] 3 Solid fuel
[] 4 Liquid fuel
Stove running on:
[] 5 Gas
[] 6 Solid fuel
[] 7 Liquid fuel
[] 8 Other means
Conventional households; not collective, partially occupied, or under construction
1
Central heating for building
2
Own domestic heating system using natural gas
3
Own domestic heating system using solid fuel
4
Own domestic heating system using liquid fuel
5
Stove using natural gas
6
Stove using solid fuel
7
Stove using liquid fuel
8
Other type of heating
9
NIU (not in universe)
This variable indicates the main type of heating used in the building.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Installed utilities in building
Installed utilities in building
Installed utilities in building
Installed utilities in building
Installed utilities in building
Installed utilities in building
Conventional households; not collective, partially occupied, or under construction
NIU (not in universe)
1
Electric installation, piped gas from public network, water supply system, sewerage installation, thermal heating
2
Electric installation, piped gas from public network, water supply system, sewerage installation
3
Electric installation, water supply system, sewerage installation, thermal heating
4
Electric installation, water supply system, sewerage installation
5
Electric installation, piped gas from public network
6
Water supply system, sewerage installation
7
Electric installation
8
Other situation
9
Without utilities
This variable indicates utilities installed in the building.
Utilities Variables -- HOUSEHOLD
IPUMS
Occupancy status of dwellings in building
Occupancy status of dwellings in building
Occupancy status of dwellings in building
Occupancy status of dwellings in building
Occupancy status of dwellings in building
Occupancy status of dwellings in building
Conventional households; not collective, partially occupied, or under construction
1
Occupied
2
Unoccupied
9
NIU (not in universe)
This variable indicates the occupancy status of the dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of the households in dwelling
Number of the households in dwelling
Number of the households in dwelling
Number of the households in dwelling
Number of the households in dwelling
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
1 Number of households in the dwelling
___
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
This variable indicates the number of households in the dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Type of dwelling
Type of dwelling
Type of dwelling
Type of dwelling
Type of dwelling
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
2 Type of dwelling
[] 1 Permanent (primary)
[] 2 Seasonal (secondary)
[] 3 Unit occupied by necessity
All households
1
Permanent (main, non-seasonal)
2
Non-conventional dwelling
This variable indicates the type of the dwelling.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Type of ownership
Type of ownership
Type of ownership
Type of ownership
Type of ownership
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
3 Type of ownership
[] 1 Private
[] 2 State-owned
[] 3 Religious institution-owned
[] 4 Other type of ownership
All households
1
Private
2
State
3
Religious institution
4
Other
This variable indicates the type of ownership.
Household Economic Variables -- HOUSEHOLD
IPUMS
Floor where dwelling is located
Floor where dwelling is located
Floor where dwelling is located
Floor where dwelling is located
Floor where dwelling is located
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
4 Floor where the dwelling is located
[] 30 Basement
[] 40 Semi-basement
[] 50 Ground floor
[] 60 Mezzanine
_ _ Floor number
[] 70 Attic
Conventional households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10+
30
Basement
40
Semi-basement
50
Ground
60
Mezzanine
70
Attic
98
Unknown
99
NIU (not in universe)
This variable indicates the floor of the building where the dwelling is located.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Water supply system
Water supply system
Water supply system
Water supply system
Water supply system
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
5 Water supply installation
Has water supply installation in dwelling from:
[] 1 public network
[] 2 private supply system
Does not have water installation in dwelling; water supply source is located:
[] 3 outside the dwelling but in the building
[] 4 outside the building
All households
1
Inside the dwelling-from the public network
2
Inside the dwelling-from the own system
3
Outside of the dwelling-inside the building
4
Outside of the dwelling-outside the building
This variable indicates the water supply system of the dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Hot water supply installation
Hot water supply installation
Hot water supply installation
Hot water supply installation
Hot water supply installation
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
6 Hot water installation
[] 1 Public network
[] 2 Private supply system
[] 3 None
All households
1
From public network
2
From own system
3
Without
This variable indicates the hot water supply installation in dwelling.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Sewage installation
Sewage installation
Sewage installation
Sewage installation
Sewage installation
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
7 Sewer installation
[] 1 Public network
[] 2 Private supply system
[] 3 None
All households
1
Public network
2
Own system
3
Without
This variable indicates the sewage installation in dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Electrical installation
Electrical installation
Electrical installation
Electrical installation
Electrical installation
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
8 Electricity
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates the electric installation in dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Gas for cooking
Gas for cooking
Gas for cooking
Gas for cooking
Gas for cooking
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
9 Gas for cooking
[] 1 Public network
[] 2 Gas cylinder
[] 3 No
All households
1
Piped gas from public network
2
Liquefied gas
3
Without
This variable indicates the type of gas for cooking in dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Main type of heating
Main type of heating
Main type of heating
Main type of heating
Main type of heating
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
10 Means of heating
[] 1 District heating
Heating station running on:
[] 2 Gas
[] 3 Solid fuel
[] 4 Liquid fuel
Stove running on:
[] 5 Gas
[] 6 Solid fuel
[] 7 Liquid fuel
[] 8 Other means
All households
1
Central heating for building
2
Own domestic heating system using natural gas
3
Own domestic heating system using solid fuel
4
Own domestic heating system using liquid fuel
5
Stove using natural gas
6
Stove using solid fuel
7
Stove using liquid fuel
8
Other type of heating
This variable indicates the main type of heating in the dwelling.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Rooms in dwelling, excluding kitchen
Rooms in dwelling, excluding kitchen
Rooms in dwelling, excluding kitchen
Rooms in dwelling, excluding kitchen
Rooms in dwelling, excluding kitchen
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
11 Rooms occupied
(Bedroom, dining, room, sitting room, study (library), service room, living room)
_ _ Number
_ _ _ Floor area
(Sq. meters without decimals)
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
17
17
18
18
20
20
This variable indicates the number of living space rooms occupied in the dwelling. Kitchen is not included.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Living area of dwelling, excluding kitchen
Living area of dwelling, excluding kitchen
Living area of dwelling, excluding kitchen
Living area of dwelling, excluding kitchen
Living area of dwelling, excluding kitchen
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
11 Rooms occupied
(Bedroom, dining, room, sitting room, study (library), service room, living room)
_ _ Number
_ _ _ Floor area
(Sq. meters without decimals)
All households
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
101
101
102
102
103
103
104
104
105
105
106
106
107
107
108
108
109
109
110
110
111
111
112
112
113
113
114
114
115
115
116
116
117
117
118
118
119
119
120
120
121
121
122
122
123
123
124
124
125
125
126
126
127
127
128
128
129
129
130
130
131
131
132
132
133
133
134
134
135
135
136
136
137
137
138
138
139
139
140
140
141
141
142
142
143
143
144
144
145
145
146
146
147
147
148
148
149
149
150
150
151
151
152
152
153
153
154
154
155
155
156
156
157
157
158
158
159
159
160
160
161
161
162
162
163
163
164
164
165
165
166
166
167
167
168
168
169
169
170
170
171
171
172
172
173
173
174
174
175
175
176
176
177
177
178
178
179
179
180
180
181
181
182
182
186
186
187
187
190
190
191
191
192
192
193
193
194
194
195
195
198
198
200
200+
This variable indicates the surface area of the living space rooms.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Kitchen
Kitchen
Kitchen
Kitchen
Kitchen
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
12 Kitchen
(Kitchenette)
[] 1 Inside dwelling
[] 2 Outside dwelling
[] 3 None
_ _ Area (sq.m)
All households
1
Inside the dwelling
2
Outside the dwelling
3
None
This variable indicates the location and availability of the kitchen in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Bathroom
Bathroom
Bathroom
Bathroom
Bathroom
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
13 Bathroom
Yes:
[] 1 inside the dwelling
[] 2 outside the dwelling
[] 3 None
All households
1
Inside the dwelling
2
Outside the dwelling
3
None
This variable indicates the location and availability of the bathroom in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Flush toilet
Flush toilet
Flush toilet
Flush toilet
Flush toilet
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
14 Water closet (WC)
Yes:
[] 1 inside the dwelling
[] 2 outside the dwelling
[] 3 None
All households
1
Inside the dwelling
2
Outside the dwelling
3
None
This variable indicates the location and availability of flush toilet in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Tenure status of dwelling by tenure status of households
Tenure status of dwelling by tenure status of households
Tenure status of dwelling by tenure status of households
Tenure status of dwelling by tenure status of households
Tenure status of dwelling by tenure status of households
Tenure status of dwelling by tenure status of households
All households
1
Household in dwelling -- owner
2
Household in dwelling -- tenant
3
Household in dwelling -- other situation
4
2 or more households in dwelling -- owners
5
2 or more households in dwelling -- owners and tenants
6
2 or more households in dwelling -- owners, tenants and other situations
7
2 or more households in dwelling -- owners and other situations
8
2 or more households in dwelling -- tenants
9
2 or more households in dwelling -- tenants and other situations
10
2 or more households in dwelling -- other situations
This variable indicates the tenure status of dwelling by tenure status of households.
Household Economic Variables -- HOUSEHOLD
IPUMS
Persons in dwelling
Persons in dwelling
Persons in dwelling
Persons in dwelling
Persons in dwelling
Persons in dwelling
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
24
24
25
25
26
26
27
27
28
28
29
29
31
31
39
39
42
42
This variable indicates the population in dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of rooms in dwelling, including kitchen
Number of rooms in dwelling, including kitchen
Number of rooms in dwelling, including kitchen
Number of rooms in dwelling, including kitchen
Number of rooms in dwelling, including kitchen
Chap. II Data on housing unit
To be completed by the first household in the dwelling only
11 Rooms occupied
(Bedroom, dining, room, sitting room, study (library), service room, living room)
_ _ Number
_ _ _ Floor area
(Sq. meters without decimals)
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
18
18
19
19
20
20
21
21
This variable indicates the number of living space rooms in the dwelling in square meters. It includes the kitchen if it is at least 4 square meters in area.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Total persons in household
Total persons in household
Total persons in household
Total persons in household
Total persons in household
Total persons in household
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
This variable indicates the number of persons in the household.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of children in household
Number of children in household
Number of children in household
Number of children in household
Number of children in household
Number of children in household
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
This variable indicates the number of children in household.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of economically active persons in household
Number of economically active persons in household
Number of economically active persons in household
Number of economically active persons in household
Number of economically active persons in household
Number of economically active persons in household
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
This variable indicates the number of economically active persons in household.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of supported persons in household
Number of supported persons in household
Number of supported persons in household
Number of supported persons in household
Number of supported persons in household
Number of supported persons in household
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
This variable indicates the number of supported persons in household.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of supported children in household
Number of supported children in household
Number of supported children in household
Number of supported children in household
Number of supported children in household
Number of supported children in household
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
This variable indicates the number of supported children in household.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of employees in household
Number of employees in household
Number of employees in household
Number of employees in household
Number of employees in household
Number of employees in household
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
This variable indicates the number of employees in household.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number and type of generations in household
Number and type of generations in household
Number and type of generations in household
Number and type of generations in household
Number and type of generations in household
Number and type of generations in household
All households
101
One single person
102
One single married couple only
201
Household head and other persons
202
Married couple and other persons
301
Household head with children
302
Household head with parents
303
Household head, spouse and children
304
Household head, spose and parents
305
Household head with grandchildren and grandparents
306
Household head, spose and grandchildren and grandparents
401
Household head, children and other persons
402
Household head, parents and other persons
403
Household head, spouse, children and other persons
404
Household head, spouse, parents and other persons
405
Household head, grandchildren, grandparents and other persons
406
Household head, spouse, grandchildren , grandparents and other persons
501
Household head, children and parents
502
Household head, children and grandchildren
503
Household head, parents and grandparents
504
Household head, children and grandparents
505
Household head, parents and grandchildren
506
Household head, grandchildren and grandparents
507
Household head, spouse, children and parents
508
Household head, spouse, children and grandchildren
509
Household head, spouse, parents and grandparents
510
Household head, spouse, children and grandparents
511
Household head, spouse, parents and grandchildren
512
Household head, spouse, grandchildren and grandparents
601
Household head, children, parents and other persons
602
Household head, children, grandchildren and other persons
603
Household head, parents, grandparents and other persons
604
Household head, children, grandparents and other persons
605
Household head, parents, grandchildren and other persons
606
Household head, grandchildren, grandparents and other persons
607
Household head, spouse, children, parents and other persons
608
Household head, spouse, children, grandchildren and other persons
609
Household head, spouse, parents, grandparents and other persons
610
Household head, spouse, children, grandparents and other persons
611
Household head, spouse, parents, grandchildren and other persons
612
Household head, spouse, grandchildren, grandparents and other persons
701
Household head, children, parents and grandchildren
702
Household head, spouse, children, parents and grandchildren
703
Household head, children, parents and grandparents
704
Household head, spouse, children, parents and grandparents
705
Household head, parents, grandchildren and grandparents
706
Household head, spouse, parents, grandchildren and grandparents
707
Household head, children, grandchildren and grandparents
708
Household head, spouse, children, grandchildren and grandparents
709
Household head, children, parents, grandchildren and grandparents
710
Household head, spouse, children, parents, grandchildren and grandparents
801
Household head, children, parents, grandchildren and other persons
802
Household head, spouse, children, parents, grandchildren and other persons
803
Household head, children, parents, grandparents and other persons
804
Household head, spouse, children, parents, grandparents and other persons
805
Household head, parents, grandchildren, grandparents and other persons
806
Household head, spouse, parents, grandchildren, grandparents and other persons
807
Household head, children, grandchildren, grandparents and other persons
808
Household head, spouse, children, grandchildren, grandparents and other persons
809
Household head, children, parents, grandchildren, grandparents and other persons
810
Household head, spouse, children, parents, grandchildren, grandparents and other persons
This variable indicates number and type of generations in household.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Relationship of household members
Relationship of household members
Relationship of household members
Relationship of household members
Relationship of household members
Relationship of household members
All households
111
One nucleus only
112
One nucleus with other related persons
113
One nucleus with other non-related persons
114
One nucleus with other related and non-related persons
121
Two related family nuclei only
122
Two related family nuclei with other persons
123
Two non-related family nuclei only
124
Two non-related family nuclei with other persons
131
Three family nuclei and over of which at least two related family nuclei
132
Three non-related family nuclei and over
211
One single person
221
Two or more related persons without any family nucleus
222
Two or more related and non-related persons without any family nucleus
This variable indicates the relationship of household members.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Strata
Strata
Strata
Strata
Strata
Strata
All households
This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page.
This is a 5-digit numeric variable with 0 implied decimal places
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
HHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Household Variables -- HOUSEHOLD
IPUMS
Romania, County 1977 - 2002 [Level 1; consistent boundaries, GIS]
Romania, County 1977 - 2002 [Level 1; consistent boundaries, GIS]
Romania, County 1977 - 2002 [Level 1; consistent boundaries, GIS]
Romania, County 1977 - 2002 [Level 1; consistent boundaries, GIS]
Romania, County 1977 - 2002 [Level 1; consistent boundaries, GIS]
642001
Alba
642002
Arad
642003
Arges
642004
Bacau
642005
Bihor
642006
Bistrita Nasaud
642007
Botosani
642008
Brasov
642009
Braila
642010
Buzau
642011
Caras Severin
642012
Cluj
642013
Constanta
642014
Covasna
642015
Dimbovita
642016
Dolj
642017
Galati
642018
Gorj
642019
Harghita
642020
Hunedoara
642022
Iasi
642024
Maramures
642025
Mehedinti
642026
Mures
642027
Neamt
642028
Olt
642029
Prahova
642030
Satu Mare
642031
Salaj
642032
Sibiu
642033
Suceava
642034
Teleorman
642035
Timis
642036
Tulcea
642037
Vaslui
642038
Valcea
642039
Vrancea
642043
Bucharest Sector 1 to 6
642051
Calarasi, Giurgiu, Ialomita, Ilfov
GEO1_RO identifies the household's county within Romania in all sample years. Counties are the first level administrative units of the country. GEO1_RO is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_RO can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Romania can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1 , and GEOLEV2 . More information on IPUMS-International geography can be found here.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Romania, County 1992 [Level 1, GIS]
Romania, County 1992 [Level 1, GIS]
Romania, County 1992 [Level 1, GIS]
Romania, County 1992 [Level 1, GIS]
Romania, County 1992 [Level 1, GIS]
1
Alba
2
Arad
3
Arges
4
Bacau
5
Bihor
6
Bistrita Nasaud
7
Botosani
8
Brasov
9
Braila
10
Buzau
11
Caras Severin
12
Calarasi
13
Cluj
14
Constanta
15
Covasna
16
Dambovita
17
Dolj
18
Galati
19
Giurgiu
20
Gorj
21
Harghita
22
Hunedoara
23
Ialomita
24
Iasi
25
Maramures
26
Mehedinti
27
Mures
28
Neamt
29
Olt
30
Prahova
31
Satu mare
32
Salaj
33
Sibiu
34
Suceava
35
Teleorman
36
Timis
37
Tulcea
38
Vaslui
39
Valcea
40
Vrancea
41
Sector 1 of Bucharest
42
Sector 2 of Bucharest
43
Sector 3 of Bucharest
44
Sector 4 of Bucharest
45
Sector 5 of Bucharest
46
Sector 6 of Bucharest
47
Sector 7 of Bucharest
GEO1_ RO1992 identifies the household's county within Romania in 2002. Counties are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_ RO1992 can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Romania can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1 , and GEOLEV2 . More information on IPUMS-International geography can be found here.
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
Living area in square meters
Living area in square meters
Living area in square meters
Living area in square meters
Living area in square meters
LIVEAREA describes the total living area in the dwelling inhabited by the household.
LIVEAREA is a 3-digit numeric variable.
000 = NIU (not in universe)
999 = Unknown
Unless otherwise specified: 998+
Austria 1991-2001: 150+
Belarus 1999: 201+
Germany 1987: 361+
Hungary 2001: 260+
Iran 2006: 501+
Italy 2001: 150+
Romania 2002: 221+
Slovenia 2002: 101+
Spain 2001: 181+
Switzerland 1980-1990: 400+
Switzerland 2000: 500+
Dwelling Characteristics 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
Strata identifier
Strata identifier
Strata identifier
Strata identifier
Strata identifier
This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.
STRATA is a 12-digit numeric variable.
Technical Household Variables -- HOUSEHOLD
IPUMS
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
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
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
No more than one wife linked via SPLOC
1
More than one wife linked via SPLOC
POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.
The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Person is not the 2nd or higher order wife linked via SPLOC
1
Person is the 2nd or higher order wife linked via SPLOC
POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.
The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Family unit membership
Family unit membership
Family unit membership
Family unit membership
Family unit membership
FAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
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
Relationship to head, Europe
Relationship to head, Europe
Relationship to head, Europe
Relationship to head, Europe
Relationship to head, Europe
10
Reference person / Head
20
Spouse or partner
21
Husband or wife
22
Partner in consensual union
30
Child/child-in-law of head or of spouse/partner
31
Spouse or partner of child of head
40
Parent of head, of spouse, or of partner
50
Other relative of head, spouse, or partner
60
Non-relative of head
61
Foster child
62
Boarder
63
Domestic servant
64
Other
99
Not stated / unknown
ERELATE describes for the European samples the relationship of the individual to the head of household -- sometimes called the householder or reference person.
ERELATE has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses.
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
Marital status, Europe
Marital status, Europe
Marital status, Europe
Marital status, Europe
Marital status, Europe
NIU (not in universe)
1
Never married
2
Married
3
Widowed and not remarried
4
Divorced/separated and not remarried
5
Widowed or divorced
9
Unknown / missing
EMARST describes for the European samples the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. European census instructions generally limit marital status to legal unions, but there are exceptions.
EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses.
Demographic Variables -- PERSON
IPUMS
Age at first marriage or union
Age at first marriage or union
Age at first marriage or union
Age at first marriage or union
Age at first marriage or union
NIU (not in universe)
10
10 or younger
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
Unknown
AGEMARR indicates the person's age at first marriage or consensual union.
Demographic Variables -- PERSON
IPUMS
Year of first marriage
Year of first marriage
Year of first marriage
Year of first marriage
Year of first marriage
1887
1887
1890
1890
1892
1892
1895
1895
1896
1896
1897
1897
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
9998
Unknown
9999
NIU (not in universe)
MARRYR reports the year of first marriage for women.
Demographic Variables -- PERSON
IPUMS
Year of birth
Year of birth
Year of birth
Year of birth
Year of birth
NIU (not in universe)
1843
1843
1845
1845
1850
1850
1853
1853
1854
1854
1856
1856
1858
1858
1859
1859
1860
1860
1861
1861
1862
1862
1863
1863
1864
1864
1865
1865
1866
1866
1867
1867
1868
1868
1869
1869
1870
1870
1871
1871
1872
1872
1873
1873
1874
1874
1875
1875
1876
1876
1877
1877
1878
1878
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
2012
2012
2013
2013
9999
Unknown
BIRTHYR gives the person's year of birth.
Demographic Variables -- PERSON
IPUMS
Month of birth
Month of birth
Month of birth
Month of birth
Month of birth
1
January
2
February
3
March
4
April
5
May
6
June
7
July
8
August
9
September
10
October
11
November
12
December
98
Unknown
99
NIU (not in universe)
BIRTHMO indicates the person's month of birth.
Demographic Variables -- PERSON
IPUMS
Children ever born
Children ever born
Children ever born
Children ever born
Children ever born
No children
1
1 child
2
2 children
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.
Fertility and Mortality Variables -- PERSON
IPUMS
County of birth, Romania
County of birth, Romania
County of birth, Romania
County of birth, Romania
County of birth, Romania
1
Alba
2
Arad
3
Arges
4
Bacau
5
Bihor
6
Bistrita Nasaud
7
Botosani
8
Brasov
9
Braila
10
Buzau
11
Caras Severin
12
Cluj
13
Constanta
14
Covasna
15
Dimbovita
16
Dolj
17
Galati
18
Gorj
19
Harghita
20
Hunedoara
21
Ialomita
22
Iasi
23
Ilfov
24
Maramures
25
Mehedinti
26
Mures
27
Neamt
28
Olt
29
Prahova
30
Satu Mare
31
Salaj
32
Sibiu
33
Suceava
34
Teleorman
35
Timis
36
Tulcea
37
Vaslui
38
Valcea
39
Vrancea
40
Bucharest municipality
41
Bucharest
42
Bucharest: Sector 1
43
Bucharest: Sector 2
44
Bucharest: Sector 3
45
Bucharest: Sector 4
46
Bucharest: Sector 5
47
Bucharest: Sector 6
51
Calarasi
52
Giurgiu
97
Foreign country
98
Response suppressed
99
Unknown
BPLRO indicates the county in Romania in which the person was born.
Nativity and Birthplace Variables -- PERSON
IPUMS
Region of birth, Europe, NUTS1
Region of birth, Europe, NUTS1
Region of birth, Europe, NUTS1
Region of birth, Europe, NUTS1
Region of birth, Europe, NUTS1
NIU (not in universe)
901
ES1 / Noroeste
902
ES2 / Noreste
903
ES3 / Comunidad de Madrid
904
ES4 / Centro (E)
905
ES5 / Este
906
ES6 / Sur
907
ES7 / Canarias
908
ES6 / Sur + Other Spanish territories
1101
FR1 / Île de France
1102
FR2 / Bassin Parisien
1103
FR3 / Nord - Pas-de-Calais
1104
FR4 / Est
1105
FR5 / Ouest
1106
FR6 / Sud-Ouest
1107
FR7 / Centre-Est
1108
FR8 / Méditerranée
1400
IE0 / Republic of Ireland
2201
PT1 / Continente
2202
PT2 / Região Autónoma dos Açores
2203
PT3 / Região Autónoma da Madeira
2301
RO1 / Macroregiunea unu
2302
RO2 / Macroregiunea doi
2303
RO3 / Macroregiunea trei
2304
RO4 / Macroregiunea patru
2501
SI0 / Slovenija
3401
CH0/Switzerland
9997
Foreign country
9998
Response suppressed
9999
Unknown
EBPLNT1 indicates the NUTS1 region in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. NUTS1 identifies the largest territorial units within countries.
EBPLNT1 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants.
The code labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash.
Nativity and Birthplace Variables -- PERSON
IPUMS
Region of birth, Europe, NUTS2
Region of birth, Europe, NUTS2
Region of birth, Europe, NUTS2
Region of birth, Europe, NUTS2
Region of birth, Europe, NUTS2
NIU (not in universe)
911
ES11 / Galicia
912
ES12 / Principado de Asturias
913
ES13 / Cantabria
921
ES21 / País Vasco
922
ES22 / Comunidad Foral de Navarra
923
ES23 / La Rioja
924
ES24 / Aragón
930
ES30 / Comunidad de Madrid
941
ES41 / Castilla y León
942
ES42 / Castilla-La Mancha
943
ES43 / Extremadura
951
ES51 / Cataluña
952
ES52 / Comunidad Valenciana
953
ES53 / Illes Balears
961
ES61 / Andalucía
962
ES62 / Región de Murcia
963
ES63 / Ciudad Autónoma de Ceuta
964
ES64 / Ciudad Autónoma de Melilla
969
ES63 + ES64 + Other Spanish territories
970
ES70 / Canarias
1110
FR10 / Region d'Île de France
1121
FR21 / Champagne-Ardenne
1122
FR22 / Picardie
1123
FR23 / Haute-Normandie
1124
FR24 / Centre
1125
FR25 / Basse-Normandie
1126
FR26 / Bourgogne
1130
FR30 / Nord-Pas-de-Calais
1141
FR41 / Lorraine
1142
FR42 / Alsace
1143
FR43 / Franche-Comté
1151
FR51 / Pays de la Loire
1152
FR52 / Bretagne
1153
FR53 / Poitou-Charentes
1161
FR61 / Aquitaine
1162
FR62 / Midi-Pyrénées
1163
FR63 / Limousin
1171
FR71 / Rhône-Alpes
1172
FR72 / Auvergne
1181
FR81 / Lanquedoc-Roussillon
1182
FR82 / Provence-Alpes-Côte d'Azur
1183
FR83 / Corse
1401
IE01 / Border, Midland and Western
1402
IE02 / Southern and Eastern
2211
PT11 / Norte
2215
PT15 / Algarve
2216
PT16 / Centro (P)
2217
PT17 / Lisboa
2218
PT18 / Alentejo
2220
PT20 / Região Autónoma dos Açores
2230
PT30 / Região Autónoma da Madeira
2311
RO11 / Nord-Vest
2312
RO12 / Centru
2321
RO21 / Nord-Est
2322
RO22 / Sud-Est
2331
RO31 / Sud - Muntenia
2332
RO32 / Bucuresti - Ilfov
2341
RO41 / Sud-Vest Oltenia
2342
RO42 / Vest
2501
SI01 / Vzhodna Slovenija
2502
SI02 / Zahodna Slovenija
9997
Foreign country
9998
Response suppressed
9999
Unknown
EBPLNT2 indicates the NUTS2 region of Europe in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. NUTS2 identifies intermediate territorial units: the second level within countries.
EBPLNT2 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants.
The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash.
Nativity and Birthplace Variables -- PERSON
IPUMS
Region of birth, Europe, NUTS3
Region of birth, Europe, NUTS3
Region of birth, Europe, NUTS3
Region of birth, Europe, NUTS3
Region of birth, Europe, NUTS3
NIU (Not in universe)
9111
ES111 / Coruña (A)
9112
ES112 / Lugo
9113
ES113 / Ourense
9114
ES114 / Pontevedra
9120
ES120 / Asturias
9130
ES130 / Cantabria
9211
ES211 / Álava
9212
ES212 / Guipúzcoa
9213
ES213 / Vizcaya
9220
ES220 / Navarra
9230
ES230 / Rioja (La)
9241
ES241 / Huesca
9242
ES242 / Teruel
9243
ES243 / Zaragoza
9300
ES300 / Madrid
9411
ES411 / Ávila
9412
ES412 / Burgos
9413
ES413 / León
9414
ES414 / Palencia
9415
ES415 / Salamanca
9416
ES416 / Segovia
9417
ES417 / Soria
9418
ES418 / Valladolid
9419
ES419 / Zamora
9421
ES421 / Albacete
9422
ES422 / Ciudad Real
9423
ES423 / Cuenca
9424
ES424 / Guadalajara
9425
ES425 / Toledo
9431
ES431 / Badajoz
9432
ES432 / Cáceres
9511
ES511 / Barcelona
9512
ES512 / Girona
9513
ES513 / Lleida
9514
ES514 / Tarragona
9521
ES521 / Alicante/Alacant
9522
ES522 / Castellón/Castelló
9523
ES523 / Valencia/València
9530
ES530 / Balears (Illes)
9611
ES611 / Almería
9612
ES612 / Cádiz
9613
ES613 / Córdoba
9614
ES614 / Granada
9615
ES615 / Huelva
9616
ES616 / Jaén
9617
ES617 / Málaga
9618
ES618 / Sevilla
9620
ES620 / Murcia
9630
ES630 / Ceuta
9640
ES640 / Melilla
9699
ES630 / Ceuta + ES640 / Melilla + Other Spanish territories
9701
ES701 / Palmas (Las)
9702
ES702 / Santa Cruz de Tenerife
11111
PT111 / Minho-Lima
11112
PT112 / Cávado
11113
PT113 / Ave
11114
PT114 / Grande Porto
11115
PT115 / Tâmega
11116
PT116 / Entre Douro e Vouga
11117
PT117 / Douro
11118
PT118 / Alto Trás-os-Montes
14011
IE011 / Border
14012
IE012 / Midlands
14013
IE013 / West
14021
IE021 / Dublin
14022
IE022 / Mid-East
14023
IE023 / Mid-West
14024
IE024 / South-East
14025
IE025 / South-West
15150
PT150 / Algarve
16161
PT161 / Baixo Vouga
16162
PT162 / Baixo Mondego
16163
PT163 / Pinhal Litoral
16164
PT164 / Pinhal Interior Norte
16165
PT165 / Dão-Lafões
16166
PT166 / Pinhal Interior Sul
16167
PT167 / Serra da Estrela
16168
PT168 / Beira Interior Norte
16169
PT169 / Beira Interior Sul
16170
PT16A / Cova da Beira
16171
PT16B / Oeste
16172
PT16C / Médio Tejo
17171
PT171 / Grande Lisboa
17172
PT172 / Península de Setúbal
18181
PT181 / Alentejo Litoral
18182
PT182 / Alto Alentejo
18183
PT183 / Alentejo Central
18184
PT184 / Baixo Alentejo
18185
PT185 / Lezíria do Tejo
20200
PT200 / Região Autónoma dos Açores
23111
RO111 / Bihor
23112
RO112 / Bistrita Nasaud
23113
RO113 / Cluj
23114
RO114 / Maramures
23115
RO115 / Satu Mare
23116
RO116 / Salaj
23121
RO121 / Alba
23122
RO122 / Brasov
23123
RO123 / Covasna
23124
RO124 / Harghita
23125
RO125 / Mures
23126
RO126 / Sibiu
23211
RO211 / Bacau
23212
RO212 / Botosani
23213
RO213 / Iasi
23214
RO214 / Neamt
23215
RO215 / Suceava
23216
RO216 / Vaslui
23221
RO221 / Braila
23222
RO222 / Buzau
23223
RO223 / Constanta
23224
RO224 / Galati
23225
RO225 / Tulcea
23226
RO226 / Vrancea
23311
RO311 / Arges
23312
RO312 / Calarasi
23313
RO313 / Dimbovita
23314
RO314 / Giurgiu
23315
RO315 / Ialomita
23316
RO316 / Prahova
23317
RO317 / Teleorman
23321
RO321 / Bucuresti
23322
RO321 / Bucuresti
23411
RO411 / Dolj
23412
RO412 / Gorj
23413
RO413 / Mehedinti
23414
RO414 / Olt
23415
RO415 / Valcea
23421
RO421 / Arad
23422
RO422 / Caras Severin
23423
RO423 / Hunedoara
23424
RO424 / Timis
25011
SI011 / Pomurska
25012
SI012 / Podravska
25013
SI013 / Koroska
25014
SI014 / Savinjska
25015
SI015 / Zasavska
25016
SI016 / Spodnjeposavska
25017
SI017 / Jugovzhodna Slovenija
25018
SI018 / Notranjsko-kraska
25021
SI021 / Osrednjeslovenska
25022
SI022 / Gorenjska
25023
SI023 / Goriska
25024
SI024 / Obalno-kraska
30300
PT300 / Região Autónoma da Madeira
99997
Foreign country
99998
Response suppressed
99999
Unknown
EBPLNT3 indicates the NUTS3 region of Europe in which the person was born. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. NUTS3 identifies small territorial units: the third level within countries.
EBPLNT3 only identifies regions within the person's country of residence; it does not identify birthplaces of international migrants.
The code labels include the standard code for the NUTS3 system and the name of the NUTS3 region, separated by a slash.
Nativity and Birthplace Variables -- PERSON
IPUMS
Citizenship
Citizenship
Citizenship
Citizenship
Citizenship
1
Citizen, not specified
2
Citizen by birth
3
Naturalized citizen
4
Not a citizen
5
Without citizenship, stateless
8
Unknown
9
NIU (not in universe)
CITIZEN indicates the person's citizenship status within the country in which they were enumerated.
Nativity and Birthplace Variables -- PERSON
IPUMS
School attendance
School attendance
School attendance
School attendance
School attendance
NIU (not in universe)
1
Yes
2
No, not specified
3
No, attended in the past
4
No, never attended
9
Unknown/missing
SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
Education Variables -- PERSON
IPUMS
Literacy
Literacy
Literacy
Literacy
Literacy
NIU (not in universe)
1
No, illiterate
2
Yes, literate
9
Unknown/missing
LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.
Education Variables -- PERSON
IPUMS
Educational attainment, Romania
Educational attainment, Romania
Educational attainment, Romania
Educational attainment, Romania
Educational attainment, Romania
NIU (not in universe)
100
None
110
Literacy courses
200
Primary
210
Special education (2002)
300
Secondary education
310
Lower secondary
311
Special education
320
Upper secondary
321
Academic secondary education
322
Vocational secondary education
330
Technical apprenticeship secondary
400
Post-secondary
410
Post-secondary technical
420
Short-term education (associate degrees)
430
University/college
999
Unknown
EDUCRO indicates the person's educational attainment in terms of the level of schooling completed.
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: RO1992A_0429
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: RO1992A_0431
Work Variables -- PERSON
IPUMS
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
NIU (not in universe)
1
Self-employed
2
Wage/salary worker
3
Unpaid worker
4
Other
9
Unknown/missing
CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
NIU (not in universe)
100
Self-employed
101
Self-employed, unincorporated
102
Self-employed, incorporated
110
Employer
111
Sharecropper, employer
120
Working on own account
121
Own account, agriculture
122
Domestic worker, self-employed
123
Subsistence worker, own consumption
124
Own account, other
125
Own account, without temporary/unpaid help
126
Own account, with temporary/unpaid help
130
Member of cooperative
140
Sharecropper
141
Sharecropper, self-employed
142
Sharecropper, employee
150
Kibbutz member
200
Wage/salary worker
201
Management
202
Non-management
203
White collar (non-manual)
204
Blue collar (manual)
205
White and blue collar
206
Day laborer
207
Employee, with a permanent job
208
Employee, occasional, temporary, contract
209
Employee without legal contract
210
Wage/salary worker, private employer
211
Apprentice
212
Religious worker
213
Wage/salary worker, non-profit, NGO
214
White collar, private
215
Blue collar, private
216
Paid family worker
217
Cooperative employee
220
Wage/salary worker, government
221
Federal, government employee
222
State government employee
223
Local government employee
224
White collar, public
225
Blue collar, public
226
Public companies
227
Civil servants, local collectives
230
Domestic worker (work for private household)
240
Seasonal migrant
241
Seasonal migrant, no broker
242
Seasonal migrant, uses broker
250
Other wage and salary
251
Canal zone/commission employee
252
Government employment/training program
253
Mixed state/private enterprise/parastatal
254
Government public work program
300
Unpaid worker
310
Unpaid family worker
320
Apprentice, unpaid or unspecified
330
Trainee
340
Apprentice or trainee
350
Works for others without wage
400
Other
999
Unknown/missing
CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
County of previous residence, Romania
County of previous residence, Romania
County of previous residence, Romania
County of previous residence, Romania
County of previous residence, Romania
1
Alba
2
Arad
3
Arges
4
Bacau
5
Bihor
6
Bistrita Nasaud
7
Botosani
8
Brasov
9
Braila
10
Buzau
11
Caras Severin
12
Cluj
13
Constanta
14
Covasna
15
Dimbovita
16
Dolj
17
Galati
18
Gorj
19
Harghita
20
Hunedoara
21
Ialomita
22
Iasi
23
Ilfov
24
Maramures
25
Mehedinti
26
Mures
27
Neamt
28
Olt
29
Prahova
30
Satu Mare
31
Salaj
32
Sibiu
33
Suceava
34
Teleorman
35
Timis
36
Tulcea
37
Vaslui
38
Valcea
39
Vrancea
40
Bucharest municipality
41
Bucharest
42
Bucharest: Sector 1
43
Bucharest: Sector 2
44
Bucharest: Sector 3
45
Bucharest: Sector 4
46
Bucharest: Sector 5
47
Bucharest: Sector 6
51
Calarasi
52
Giurgiu
97
Foreign country
98
Unknown
99
NIU (not in universe)
MIGRO indicates the person's county of previous residence.
Migration Variables -- PERSON
IPUMS
Person number (within household)
Person number (within household)
Person number (within household)
Person number (within household)
Person number (within household)
Person number (within household)
All persons
Household record
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
This variable indicates the person number within household.
Technical Person Variables -- PERSON
IPUMS
Order number of the person in the household
Order number of the person in the household
Order number of the person in the household
Order number of the person in the household
Order number of the person in the household
Order number of the person in the household
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
This variable indicates the order number of the person in the household.
Technical Person Variables -- PERSON
IPUMS
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
1 Relationship to the household
[] 1 Head
[] 2 Husband (wife)
[] 3 Son (daughter)
[] 4 Son-in-law (daughter-in-law)
[] 5 Grandson (granddaughter)
[] 6 Father (mother)
[] 7 Grandfather (grandmother)
[] 8 Brother (sister)
[] 9 Brother-in-law (sister-in-law)
[] 10 Father-in-law (mother-in-law)
[] 11 Other relative
[] 20 Not a relative
All persons
1
Household head
2
Husband / wife
3
Son / daughter
4
Son-in-law / daughter-in-law
5
Grandson / granddaughter
6
Father / mother
7
Grandfather / grandmother
8
Brother / sister
9
Brother-in-law / sister-in-law
10
Father-in-law / mother-in-law
11
Other relative
20
Non-related person
99
Unknown
This variable indicates the relationship to the household head.
Demographic Variables -- PERSON
IPUMS
Situation at the census moment
Situation at the census moment
Situation at the census moment
Situation at the census moment
Situation at the census moment
2 Situation at the time of the census
On January 7th, 1992, at 12 am, the person was:
[] 1 Present
Temporarily absent:
[] 2 In the country
[] 3 Abroad
Absent for an extended period of time (over 6 months)
[] 4 At work
[] 5 At school
[] 6 Other reason
All persons
1
Present
2
Temporally absent from the household, elsewhere in country
3
Temporally absent from the household, abroad
4
Absent for a long time- for working
5
Absent for a long time- for studies
6
Absent for a long time- other reason
This variable indicates the availability status of the person at the census moment .
Migration Variables -- PERSON
IPUMS
Person belongs to a household in other locality
Person belongs to a household in other locality
Person belongs to a household in other locality
Person belongs to a household in other locality
Person belongs to a household in other locality
3 Current residence registered on the identity card
[] 9000 in the enumeration locality
In other locality, namely:
___ County
___ Municipality/town/commune _ _ _ _
The person belongs to a household in a different locality
[] 1 Yes
[] 2 No
Persons whose legal residence is not in the census enumeration locality
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person belongs to a household in a different locality.
Migration Variables -- PERSON
IPUMS
County of previous residence
County of previous residence
County of previous residence
County of previous residence
County of previous residence
4 Place of previous residence
_ _ County
Category of locality
[] 1 Municipality
[] 2 Commune
Persons born outside county of enumeration
NIU (not in universe)
1
Alba
2
Arad
3
Arges
4
Bacau
5
Bihor
6
Bistrita-nasaud
7
Botosani
8
Brasov
9
Braila
10
Buzau
11
Caras-severin
12
Calarasi
13
Cluj
14
Constanta
15
Covasna
16
Dambovita
17
Dolj
18
Galati
19
Giurgiu
20
Gorj
21
Harghita
22
Hunedoara
23
Ialomita
24
Iasi
25
Maramures
26
Mehedinti
27
Mures
28
Neamt
29
Olt
30
Prahova
31
Satu mare
32
Salaj
33
Sibiu
34
Suceava
35
Teleorman
36
Timis
37
Tulcea
38
Vaslui
39
Valcea
40
Vrancea
41
Bucharest municipality
79
In another country
This variable indicates the county of previous residence.
Migration Variables -- PERSON
IPUMS
Place of previous residence
Place of previous residence
Place of previous residence
Place of previous residence
Place of previous residence
4 Place of previous residence
_ _ County
Category of locality
[] 1 Municipality
[] 2 Commune
Persons born outside county of enumeration
NIU (not in universe)
1
Municipality / town
2
Communes
This variable indicates if the place of previous residence is in a municipality/town or commune.
Migration Variables -- PERSON
IPUMS
Year of establishing legal residence
Year of establishing legal residence
Year of establishing legal residence
Year of establishing legal residence
Year of establishing legal residence
5 Year of establishment in the locality of legal residence
19 _ _
Persons born outside county of enumeration
NIU (not in universe)
2
1902
3
1903
4
1904
5
1905
6
1906
7
1907
8
1908
9
1909
10
1910
11
1911
12
1912
13
1913
14
1914
15
1915
16
1916
17
1917
18
1918
19
1919
20
1920
21
1921
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
99
Unknown
This variable indicates the year of establishment in the legal locality of residence.
Migration Variables -- PERSON
IPUMS
Year of establishing actual residence
Year of establishing actual residence
Year of establishing actual residence
Year of establishing actual residence
Year of establishing actual residence
6 Year of establishment in the locality of actual residence
19 _ _
Persons outside their census enumeration locality
NIU (not in universe)
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
99
Undeclared
This variable indicates the year of establishment in the actual locality of residence.
Migration Variables -- PERSON
IPUMS
Person number of the father
Person number of the father
Person number of the father
Person number of the father
Person number of the father
7 Order number of relatives of persons enumerated in Chap. IV
_ _ Father
_ _ Mother
_ _ Husband (wife)
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
This variable indicates the person number of the father.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Person number of the mother
Person number of the mother
Person number of the mother
Person number of the mother
Person number of the mother
7 Order number of relatives of persons enumerated in Chap. IV
_ _ Father
_ _ Mother
_ _ Husband (wife)
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
This variable indicates the person number of the mother.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Person number of the spouse
Person number of the spouse
Person number of the spouse
Person number of the spouse
Person number of the spouse
7 Order number of relatives of persons enumerated in Chap. IV
_ _ Father
_ _ Mother
_ _ Husband (wife)
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
This variable indicates the person number of the spouse.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
8 Sex
[] 1 Male
[] 2 Female
All persons
1
Male
2
Female
This variable indicates the gender of the person.
Demographic Variables -- PERSON
IPUMS
Month of birth
Month of birth
Month of birth
Month of birth
Month of birth
9 Date of birth
1 _ _ _ Year
_ _ Month
_ _ Day
All persons
1
January
2
February
3
March
4
April
5
May
6
June
7
July
8
August
9
September
10
October
11
November
12
December
99
Unknown
This variable indicates the month of birth of the person.
Nativity and Birthplace Variables -- PERSON
IPUMS
County or country of birth
County or country of birth
County or country of birth
County or country of birth
County or country of birth
10 Place of birth
[] 90 Locality where the person was enumerated
_ _ In other locality of county (country)
Category of locality:
[] 1 Municipality/town
[] 2 Commune
All persons
In the census enumeration locality
1
Alba
2
Arad
3
Arges
4
Bacau
5
Bihor
6
Bistrita-nasaud
7
Botosani
8
Brasov
9
Braila
10
Buzau
11
Caras-severin
12
Calarasi
13
Cluj
14
Constanta
15
Covasna
16
Dambovita
17
Dolj
18
Galati
19
Giurgiu
20
Gorj
21
Harghita
22
Hunedoara
23
Ialomita
24
Iasi
25
Maramures
26
Mehedinti
27
Mures
28
Neamt
29
Olt
30
Prahova
31
Satu mare
32
Salaj
33
Sibiu
34
Suceava
35
Teleorman
36
Timis
37
Tulcea
38
Vaslui
39
Valcea
40
Vrancea
41
Bucharest municipality
51
Albania
52
Austria
53
Belgium
54
Bulgaria
55
Czechoslovakia
56
Denmark
57
Switzerland
58
Finland
59
France
60
Germany
61
Greece
62
Italy
63
Yugoslavia
64
Norway
65
Netherlands
66
Poland
67
Portugal
68
United Kingdom
69
Spain
70
Sweden
71
Hungary
72
Moldavian republic
73
Ukraine republic
74
Other USSR republics
75
Other European countries
76
Countries from other continents
99
Undeclared
This variable indicates the place of birth of a person.
Nativity and Birthplace Variables -- PERSON
IPUMS
Place of birth in other locality
Place of birth in other locality
Place of birth in other locality
Place of birth in other locality
Place of birth in other locality
10 Place of birth
[] 90 Locality where the person was enumerated
_ _ In other locality of county (country)
Category of locality:
[] 1 Municipality/town
[] 2 Commune
Persons not in the census enumeration locality, but within the country
NIU (not in universe)
1
Municipality / town
2
Commune
This variable indicates the place of birth in other locality.
Nativity and Birthplace Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
11 Marital status of the person
[] 1 Unmarried
[] 2 Married
[] 3 Widowed
[] 4 Divorced
All persons
1
Single
2
Married
3
Widowed
4
Divorced
9
Not reported
This variable indicates the legal marital status of a person.
Demographic Variables -- PERSON
IPUMS
Ethnicity
Ethnicity
Ethnicity
Ethnicity
Ethnicity
15 Nationality
[] 10 Romanian
_ _ Other nationality, specify ____
All persons
10
Romanian
11
Hungarian
12
Gypsy
13
German
14
Ukrainian
15
Serbian
16
Turk
17
Tartar
18
Slovakian
19
Jewish
20
Russian
21
Lipovan
22
Bulgarian
23
Czech
24
Croat
25
Greek
26
Polish
27
Armenian
28
Slovenian
29
Saxon
30
Swabian
31
Macedoromanian
32
Aromanian
33
Szekler
34
Ruthenian (Rusyn)
35
Csango
36
Gagauzi
37
Carasoveni
39
Other ethnic group from Europe
40
Other ethnic group from other continents
99
Undeclared
This variable indicates the ethnicity of a person.
Ethnicity and Language Variables -- PERSON
IPUMS
Mother tongue
Mother tongue
Mother tongue
Mother tongue
Mother tongue
16 Mother tongue
[] 10 Romanian
_ _ Other mother tongue, specify ____
All persons
10
Romanian
11
Hungarian
12
Gypsy
13
German
14
Ukrainian
15
Serbian
16
Turkish
17
Tartar
18
Slovakian
19
Yiddish
20
Russian
21
Lipovenian
22
Bulgarian
23
Czech
25
Greek
26
Polish
27
Armenian
28
Slovenian
29
Saxonian
30
Swabian
31
Macedoromanian
32
Aromanian
33
Szekler
34
Ruthenian
36
Gagauza
39
Other from Europe
40
From other continents
99
Undeclared
This variable indicates the mother tongue of a person.
Ethnicity and Language Variables -- PERSON
IPUMS
Religion
Religion
Religion
Religion
Religion
17 Religion
[] 10 Orthodox
_ _ Other religion (faith), specify ____
All persons
10
Orthodox
11
Roman Catholic
12
Greek Catholic
13
Reformed Church
14
Unitarian
15
Evangelic of Augustan Confession
16
Evangelic Synodo-Presbyterian
17
Christian of Old Rite
18
Baptist
19
Penticostal
20
Seventh-day Adventist
21
Christian by Gospel
22
Armenian
23
Muslim
24
Jewish
25
Others
26
Atheists
27
Without religion
28
Orthodox church of old style
99
Undeclared
This variable indicates the religion of a person.
Ethnicity and Language Variables -- PERSON
IPUMS
Highest level of school completed
Highest level of school completed
Highest level of school completed
Highest level of school completed
Highest level of school completed
18 Level of education
Name and type of the:
_ _ Highest level of school completed (for persons born before 1981) ___
_ _ Level currently attending (for persons born after 1986) ___
Persons born before 1981
NIU (not in universe)
1
Mining
2
Petroleum and geology
3
Electric power and electrotechnics
4
Metallurgy
5
Electrical profile
6
Electromechanical profile
7
Mechanical and other technical profiles
8
Chemical technology
9
Wood and building materials industry
10
Light industry
11
Food industry
12
Construction and survey
13
Architecture and town planning
14
Agriculture
15
Zootechnical
16
Veterinary medicine
17
Silviculture
18
Transport
19
Telecommunication
20
Other technical specializations
21
Chemistry, physics
22
Mathematics, informatics
23
Biology, geography, history, philosophy
24
Philology, journalism
25
Sociology, pshychology
26
Economic education
27
Juridical education
28
Pharmaceutical
29
General medicine
30
Stomatology
31
Fine and decorative art
32
Music
33
Drama, cinematography, television
34
Physical education and sport
35
Pedagogy
36
Theology
37
Other third level institutions
50
Industry
51
construction and architecture
52
Agriculture
53
Silviculture
54
Transport and telecommunications
55
Other
56
Post-secondary with profile: informatics
57
Post-secondary with profile: economic, administrative, trade, co-operation and services
58
Post-secondary with profile: pedagogy
59
Post-secondary with profile: sanitary
60
Post-secondary with profile: artistic, physical education and sport
61
Post-secondary theological seminaries
62
Theoretical profiles
63
Real and humanistic profile
64
General culture medium schools
65
Other
66
Industry (including metrology)
67
Architecture and constructions
68
Agriculture
69
Silviculture
70
Pisciculture
71
Transport and telecommunications
72
Other
73
Informatics
74
Economic
75
Pedagogy
76
Sanitary
77
Art (fine arts, music and choreography)
78
Sports
79
Theological profile
80
Other vocational profiles
81
Industry
82
Constructions
83
Agriculture
84
Silviculture
85
Transport and telecommunications
86
Economic, administrative, co-operation and services vocational schools
87
Sanitary vocational schools
88
Art vocational schools
89
Other vocational schools
90
First stage of real and humanistic lyceums
91
General
92
Vocational
93
Special
94
Primary schools
95
Literacy courses
96
Reads and writes
97
Read only
98
Does not know how to read or write
99
Unknown
This variable indicates the highest level of education completed and the type of educational institution for all the persons born before 1981.
Education Variables -- PERSON
IPUMS
Level of educational institution attended
Level of educational institution attended
Level of educational institution attended
Level of educational institution attended
Level of educational institution attended
18 Level of education
Name and type of the:
_ _ Highest level of school completed (for persons born before 1981) ___
_ _ Level currently attending (for persons born after 1986) ___
Persons born before 1986 who were attending school
NIU (not in universe)
1
Mining
2
Petroleum and geology
3
Electric power and electrotechnics
4
Metallurgy
5
Electrical profile
6
Electromechanical profile
7
Mechanical and other technical profiles
8
Chemical technology
9
Wood and building materials industry
10
Light industry
11
Food industry
12
Construction and survey
13
Architecture and town planning
14
Agriculture
15
Zootechnical
16
Veterinary medicine
17
Silviculture
18
Transport
19
Telecommunication
20
Other technical specializations
21
Chemistry, physics
22
Mathematics, informatics
23
Biology, geography, history, philosophy
24
Philology, journalism
25
Sociology, pshychology
26
Economic education
27
Juridical education
28
Pharmaceutical
29
General medicine
30
Stomatology
31
Fine and decorative art
32
Music
33
Drama, cinematography, television
34
Physical education and sport
35
Pedagogy
36
Theology
37
Other third level institutions
38
Undocumented
39
Undocumented
40
Undocumented
41
Undocumented
42
Undocumented
43
Undocumented
44
Undocumented
45
Undocumented
46
Undocumented
47
Undocumented
48
Undocumented
49
Undocumented
50
Industry
51
Construction and architecture
52
Agriculture
53
Silviculture
54
Transport and telecommunications
55
Other
56
Post high schools with profile: informatics
57
Post high schools with profile: economic, administrative, trade, co-operation and services
58
Post high schools with profile: pedagogy
59
Post high schools with profile: sanitary
60
Post high schools with profile: artistic, physical education and sport
61
Post high schools theological seminaries
62
Teoretical profiles
63
Real and humanistic profile
64
General culture medium schools
65
Other
66
Industry (including metrology)
67
Architecture and constructions
68
Agriculture
69
Silviculture
70
Pisciculture
71
Transport and telecommunications
72
Other
73
Informatics
74
Economic
75
Pedagogy
76
Sanitary
77
Art (fine arts, music and choreography)
78
Sports
79
Theological profile
80
Other vocational profiles
81
Industry
82
Constructions
83
Agriculture
84
Silviculture
85
Transport and telecommunications
86
Economic, administrative, co-operation and services vocational schools
87
Sanitary vocational schools
88
Art vocational schools
89
Other vocational schools
91
General
92
Vocational
93
Special
94
Primary schools
This variable indicates the highest level attained and the type of educational institution for all persons born before 1986.
Education Variables -- PERSON
IPUMS
Economic status in reference week
Economic status in reference week
Economic status in reference week
Economic status in reference week
Economic status in reference week
19 Economic condition of the person
[] 1 Employed
Looking for:
[] 2 Another job
[] 3 First job
[] 4 Pupil-student
[] 5 Pensioner
[] 6 Home-maker
[] 7 Supported by another person (pre-school child, old person, etc.)
[] 8 Supported by the state
[] 9 Other situation (with income from rents, interest, other sources)
All persons
1
Employed
2
Unemployed- seeking another job
3
Unemployed- seeking for the first time
4
Pupil/student
5
Retired
6
Homemaker
7
Dependent
8
Receiving public aid or private organizations support
9
Other status
This variable indicates the economic status of a person.
Work Variables -- PERSON
IPUMS
Year of first marriage
Year of first marriage
Year of first marriage
Year of first marriage
Year of first marriage
12 Year of marriage
(Only for married women in their first marriage)
19 _ _
Females born before 1977 in their first marriage
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
9998
Undeclared
9999
NIU (not in universe)
This variable indicates the year of marriage at the first marriage.
Demographic Variables -- PERSON
IPUMS
Number of children born alive
Number of children born alive
Number of children born alive
Number of children born alive
Number of children born alive
13 Total number of children born alive
(Only for women born before 1978)
_ _
Females born before 1978
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
98
Undeclared
99
NIU (not in universe)
This variable indicates the number of children born alive to a woman.
Fertility and Mortality Variables -- PERSON
IPUMS
Occupation, 1 digit
Occupation, 1 digit
Occupation, 1 digit
Occupation, 1 digit
Occupation, 1 digit
Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered
20 Occupation
(Profession or activity currently performed)
___ _ _ _
Persons who are employed or seeking work not for the first time
Armed forces
1
Legislators, senior officials and managers
2
Professionals
3
Technicians and related occupations
4
Clerks
5
Service workers and shop and market sales workers
6
Skilled agricultural, forestry and fishery workers
7
Craft workers
8
Plant and machine operators and assemblers
9
Elementary occupations
99
NIU (not in universe)
This variable indicates the occupation on current activity (1 digit).
Work: Occupation Variables -- PERSON
IPUMS
Occupation
Occupation
Occupation
Occupation
Occupation
Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered
20 Occupation
(Profession or activity currently performed)
___ _ _ _
Persons who are employed or seeking work not for the first time
1
Armed forces
101
Legislators and senior government officials
102
Public administration senior officials
103
Mayors and other communes officials
104
Senior officials of political-party organisations
105
Senior officials of employers', workers' and other economic-interest organisations
106
Senior officials of humanitarian and other special-interest organisations
107
Corporate managers
108
Production and operations managers in agriculture, forestry, hunting, pisciculture and fishing
109
Production and operations managers in mining, quarrying and manufacturing
110
Production and operations managers in constructions
111
Production and operations managers in wholesale and retail trade
112
Production and operations managers in hotels and restaurants
113
Production and operations managers in transport and communications
114
Production and operations managers in business services
115
Production and operations managers in personal care, cleaning and related services
116
Production and operations managers in other production and social services activities
117
Finance and administration managers
118
Personnel and work relations managers
119
Sales and marketing managers
120
Advertising and public relations managers
121
Supply and distribution managers
122
Computing services managers
123
Research and development managers
124
Other specialist managers in non-lucrative activities and services
125
Small business managers in agriculture, forestry, hunting, pisciculture and fishing
126
Small business managers in mining, quarrying and manufacturing
127
Small business managers in constructions
128
Small business managers in wholesale and retail trade
129
Small business managers in hotels and restaurants
130
Small business managers in transport and communications
131
Small business managers in business services
132
Small business managers in personal care, cleaning and related services
133
Other small business managers
201
Physicists and astronomers
202
Meteorologists
203
Chemists
204
Geologists and geophysicists
205
Mathematicians and related professionals
206
Statisticians
207
Computer analysts
208
Computer programmers
209
Other computing professionals
210
Architects, town and traffic planners
211
Civil engineers
212
Energetics and electrical engineers
213
Electronics, transport and telecommunications engineers
214
Mechanical engineers
215
Oil and chemical engineers
216
Mining engineers
217
Metallurgy engineers
218
Textile and food industry engineers
219
Biologists, botanists, zoologists and related professionals
220
Bacteriologists, pharmacologists and related professionals
221
Agronomist engineers, zoo technicians and forestry engineers
222
Medical doctors and child doctors
223
Dentists
224
Veterinarians
226
Pharmacists
229
College, university and higher education teaching professionals
230
High-school, post-high school, vocational and foremen education teaching professionals
231
Gymnasium education teaching professionals
234
Special education teaching professionals
235
Education methods specialists
236
School inspectors
237
Other teaching professionals
238
Financial-banking system professionals
239
Personnel and personnel training professionals
240
Other business professionals
241
Lawyers
242
Judges
243
Other legal professionals
244
Archivists and curators
245
Librarians and related information professionals
246
Economists (exclusive statisticians and financial-banking system professionals)
247
Sociologists, anthropologists and related professionals
248
Philosophers, historians and political scientists
249
Linguists, translators and interpreters
250
Psychologists
251
Social work professionals
252
Writers, journalists and related writers
253
Sculptors, painters and related artists
254
Composers, musicians and singers
255
Choreographers and dancers
256
Film, stage and related actors and directors
257
Religious professionals
261
Cartographers, surveyors and topographist engineers
262
Other architects, engineers and related professionals
266
Physicist researchers
268
Chemist researchers
269
Geologist and geophysicist researchers
270
Mathematical sciences researchers
271
Architect researchers and designers
272
Civil engineer researchers and designers
273
Energetics and electrical engineer researchers and designers
274
Electronics, transport and telecommunications engineer researchers and designers
275
Mechanical engineer researchers and designers
276
Oil and chemical engineer researchers and designers
277
Mining engineer researchers and designers
278
Metallurgy engineer researchers and designers
279
Textile and food industry engineer researchers and designers
280
surveyor engineer researchers and designers
281
Other engineer researchers and designers
282
Biologist researchers
283
Biochemist researchers
284
Agronomist, horticulturist, zoo technician and forestry engineers researchers
285
Medical doctor and child doctor researchers
287
Veterinarian researchers
288
Pharmacist researchers
290
Economist researchers
291
Sociologist and geographer researchers
292
Philosopher and historian researchers
293
Philologist researchers
301
Chemical and physical science technicians
302
Civil engineering technicians
303
Energetics and electrical engineering technicians
304
Electronics, transport and telecommunications engineering technicians
305
Mechanical engineering technicians
306
Oil and chemical engineering technicians
307
Mining technicians
308
Metallurgical technicians
309
Textile and food industry technicians
310
Assistant computer analysts and programmers and related occupations
311
Computing equipment operator-technicians
312
Industrial robots operator-technicians
313
Photographers and image and sound recording equipment operators
314
Broadcasting and telecommunications equipment technicians
315
Electro-medical equipment technicians
316
Other optical and electronic equipment technicians
317
Ships' mechanic officers
318
Ships' deck officers and pilots
319
Aircraft pilots and related occupations
320
Air traffic controllers
321
Air traffic safety technicians
322
Fire safety building inspectors
323
Work protection and hygiene and quality inspectors
324
Biology technicians
325
Agriculture and silviculture research technicians
326
Agronomy, forestry technicians and zoo technicians in production units
327
Medical assistants
328
Hygienists
329
Dietician and nutritionist assistants
330
Optometrists and opticians
331
Dental technicians
332
Physiotherapists and related occupations
333
Veterinary assistants and technicians
334
Pharmaceutical assistants
335
Other health technicians
336
Midwifes
337
Nursing and laboratory-assistants
338
Traditional medicine practicians
339
Hypnosis - autosuggestion practicians
340
Primary education teaching professionals
341
Pre-primary education teaching professionals
342
Undocumented
343
Other education teaching professionals
344
Securities and finance dealers and brokers
345
Insurance agents
346
Estate agents
347
Travel agents
348
Technical and commercial sales representatives
349
Buyers
350
Appraisers, valuers and auctioneers
351
Others finance and sales intermediaries
352
Trade brokers
353
Concession agents
354
Employment agents and labour contractors
355
Other business services agents and trade brokers
356
Administrative secretaries and related associate professionals
357
Legal and related business associate professionals
358
Bookkeepers
359
Administrative and financial administration statisticians
360
Other financial administration professionals
361
Customs and border inspectors
362
Government tax and excise officials
363
Government social benefits officials
365
Other financial agents
366
Police inspectors
367
Detectives
368
Decorators, designers and artistic drawers
369
Radio, television and shows announcers
370
Occasional and public clubs musicians, singers and dancers
371
Clowns, magicians, acrobats and related occupations
372
Athletes, sportspersons and related occupations
373
Religious non-clerical personnel
374
Draughtspersons
375
Other physical, chemical and engineering sciences technicians and related occupations
376
Social work associate professionals
381
Physical and chemical sciences assistant technicians
382
Civil engineering assistant technicians
383
Energetics and electrical engineering assistant technicians
384
Electronics, transport and telecommunications engineering assistant technicians
385
Mechanical engineering assistant technicians
386
Oil and chemical engineering assistant technicians
387
Mining assistant technicians
388
Metallurgical assistant technicians
389
Textile and food industry assistant technicians
390
Draughtsperson assistants
391
Other physical, chemical and engineering sciences assistant technicians
401
Stenographers and typists
402
Word-processor and related operators
403
Data entry operators
404
Computing-machine operators
405
Secretaries
406
Accounting and bookkeeping clerks
407
Finance clerks
408
Stock clerks
409
Production clerks
410
Transport clerks
411
Library and archivist clerks
412
Mail carriers and other mail clerks
413
Coding, proof-reading and related clerks
414
Scribes and related workers
415
Other office clerks
416
Cashiers and ticket clerks
417
Tellers and other counter clerks
418
Bookmakers and croupiers
419
Pawnbrokers and money-lenders
420
Debt-collectors and related workers
421
Travel agency and related clerks
422
Receptionists and information clerks
423
Telephone switchboard operators
501
Travel attendants and travel stewards
502
Transport conductors
503
Guides
504
Housekeeping
505
Cooks
506
Waiters, waitresses and bartenders
507
Child-care workers
508
Institution-based personal care workers
509
Home-based personal care workers
510
Other personal care and related workers
511
Hairdressers, barbers, beauticians and related workers
512
Companions and valets
513
Undertakers and embalmers
514
Other personal services workers
517
Fire-fighters
519
Prison guards
520
Other protective services workers
521
Fashion and other models
522
Shop salespersons and administrators
523
Market and kiosk salespersons
601
Field crop and vegetable skilled farmers and workers
602
Trees skilled growers
603
Horticultural skilled farmers and workers
604
Mixed cultures farmers
605
Cattle and other dairy and meat domestic animals breeding and nursing
606
Poultry breeder
607
Beekeepers and silk worm breeders
608
Other animals breeders
609
Other skilled workers in animal breeding
610
Mixed cultures farmers, skilled workers and animal breeders in public farms, agricultural associations and PRIVATE EMPLOYEES
611
Silviculture and forestry workers
612
Charcoal burners and related workers
613
Aquatic-life cultivation workers
614
Inland and coastal waters fishery workers
615
Ocean and sea fishery workers
616
Hunters
617
Individual field crop and vegetable growers
618
Individual trees and wine growers
619
Individual horticultors workers
620
Individual animal breeders
621
Individual beekeepers and silk worm breeders
622
Individual mixed culture agricultural workers and animal breeders
623
Individual fishery workers
701
Miners and quarry workers
702
Shotfirers and blasters
703
Stone splitters, cutters and carvers
704
Traditional techniques and materials builders craft workers
705
Bricklayers
706
Concrete builders and related workers
707
Carpenters
708
Other builders craft workers
709
Roofers
710
Floor layers, faiencers and tile setters
711
Plasterers
712
Insulation workers
713
Glaziers
714
Plumbers and pipe fitters
715
Building and related electricians
716
Painters and paper hangers
717
Varnishers and related painters
718
Building structure cleaners and chimney sweeps
719
Metal moulders and coremakers
720
Welders and flamecutters
721
Tinkers-boiler makers
722
Structural-metal builders and setters
723
Elevation and transport installations setting and maintaining workers
724
Divers and other underwater workers
725
Forge, puncher and press workers
726
Tool-makers
727
Splinters machine-tool setters and setter-operators
728
Metal wheel-grinders, polishers and tool sharpeners
729
Motor vehicle mechanics and fitters
730
Aircraft engine mechanics and fitters
731
Agricultural- or industrial-machinery mechanics and fitters
732
Electrical and energetical mechanics and fitters
733
Electronics mechanics and fitters
734
Electronics repairers
735
Telegraphic and telephone installations electrical installers and repairers
736
Air and underground electrical cable electricians installers and repairers
737
Precision-instrument makers and repairers
738
Musical instrument makers and tuners
739
Jewellery and other metal precision workers and other materials workers
740
Abrasive wheel formers and potters
741
Glass makers, cutters, grinders and finishers
742
Glass engravers
743
Glass, ceramics and related decorative painters
744
Handicraft workers in wood and related materials
745
Handicraft workers in textile, leather and related materials
746
Compositors and linotypers
747
Stereotypers and electrotypers
748
Printing and photo engravers
749
Photographic and related workers
750
Bookbinders and related workers
751
Silk-screen, wood and textile printers
752
Butchers, fishmongers and related food preparers
753
Bakers, pastry-cooks and confectionery makers
754
Dairy-products makers
755
Fruit, vegetable and related preservers
756
Food and beverage tasters and graders
757
Tobacco preparers and tobacco products makers
758
Wood treaters
759
Carpenters and related workers
760
Wood manufacturing craftsmen
761
Basketry weavers, brush makers and related workers
762
Fibre preparers
763
Weavers and knitters
764
Tailors and hatters
765
Furriers and related workers
766
Textile and leather pattern-makers and cutters
767
Sewers, embroiderers and related workers
768
Upholsterers and related workers
769
Leather dressers and tanners
770
Shoe-makers and related workers
801
Mining-plant operators
802
Mineral-ore- and stone-processing-plant operators
803
Crude petroleum well drillers and borers
804
Ore and metal furnace operators
805
Metal melters, casters and rolling-mill operators
806
Metal-heat-treating-plant operators
807
Metal drawers and extruders
808
Glass and ceramics kiln and related machine operators
809
Other glass, ceramics plant operators
810
Wood-processing-plant operators
811
Paper-pulp plant operators
812
Papermaking-plant operators
813
Crushing-, grinding- and chemical-mixing-machinery operators
814
Chemical-heat-treating-plant operators
815
Chemical-filtering- and separating-equipment operators
816
Chemical-still and reactor operators (except petroleum and natural gas)
817
Petroleum- and natural-gas-refining-plant operators
818
Other chemical-processing-plant operators
819
Power-production plant operators
820
Steam-engine and boiler operators
821
Other power-production operators
822
Automatical line-assembly operators
823
Industrial-robot operators
824
Machine-tool operators
825
Construction materials and other mineral products machine operators
826
Pharmaceutical- and toiletry-products machine operators
827
Ammunition- and explosive-products machine operators
828
Metal finishing-, plating- and coating-machine operators
829
Photographic-products machine operators
830
Other chemical-products machine operators
831
Rubber-products machine operators (tyres and vulcanizing equipments)
832
Other rubber-products and plastic-products machine operators
833
Wood-products machine operators
834
Printing-machine operators
835
Bookbinding-machine operators
836
Paper-products machine operators
837
Fibre-preparing-, spinning- and winding-machine operators
838
Weaving- and knitting-machine operators
839
Sewing-machine operators
840
Bleaching-, dyeing- and cleaning-machine operators
841
Fur- and leather-preparing-machine operators
842
Shoemaking- and related machine operators
843
Other textile-, fur- and leather-products machine operators
844
Meat- and fish-processing-machine operators
845
Dairy-products machine operators
846
Grain- and spice-milling-machine operators
847
Baked-goods, cereal and chocolate-products machine operators
848
Fruit-, vegetable- and nut-processing-machine operators
849
Sugar production machine operators
850
Tea-, coffee-, and cocoa-processing-machine operators
851
Brewers, wine and other beverage machine operators
852
Tobacco production machine operators
853
Metallic-construction fitters
854
Electrical-equipment fitters
855
Electronic-equipment assemblers
856
Metal-, rubber- and plastic-products assemblers
857
Wood and related products assemblers
858
Paperboard, textile and related products assemblers
859
Other machine operators
860
Locomotive-engine drivers
861
Railway brakers, signallers, shunters and other related occupations
862
Motor-cycle drivers
863
Car and van drivers
864
Bus and tram drivers
865
Heavy-truck and lorry drivers
866
Motorised farm and forestry plant operators
867
Earth-moving- plant operators
868
Crane, hoist and related plant operators
869
Palette-transportation plant operators
870
Ships' deck crews and related workers
901
Food products street vendors
902
Other products than food products street vendors
903
Door-to-door and by phone vendors
904
Shoe cleaning and other street services elementary occupations
905
Domestic helpers
906
Offices, hotels cleaners and other helpers
907
Launderers and pressers
908
Building caretakers
909
Vehicle and window cleaners
910
Package and luggage porters and deliverers
911
Doorkeepers, watchpersons and related workers
912
Money collectors, meter readers
913
Garbage collectors
914
Other public service elementary occupations
915
Agricultural labourers
916
Silvicultural labourers
917
Fishery and hunting labourers
918
Mining and quarrying labourers
919
Construction and maintenance labourers: roads and dams
920
Building construction labourers
921
Operator's helpers for products assembly
922
Products packing labourers
923
Push-cart and pedal means of transportation labourers
924
Carters (animal drive vehicles)
925
Goods drivers
980
Non-identifiable occupations
998
Unknown
999
NIU (not in universe)
This variable indicates the occupation on current activity (3 digit).
Work: Occupation Variables -- PERSON
IPUMS
Class of worker
Class of worker
Class of worker
Class of worker
Class of worker
Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered
21 Professional status
[] 1 Employer
[] 2 Own account
[] 3 Worker
[] 4 Employee
[] 5 Member of cooperative association
[] 6 Unpaid family worker
[] 7 Other situation
Persons who are employed or seeking work not for the first time
NIU (not in universe)
1
Employer
2
Own-account worker
3
Employee
4
Member of producer's co-operatives
5
Contributing family worker to own household (unpaid)
6
Other situation
This variable indicates the status in employment.
Work Variables -- PERSON
IPUMS
Industry
Industry
Industry
Industry
Industry
Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered
22 Work place
____ Full name of unit
____ Main activity of the work place _ _
Persons who are employed or seeking work not for the first time
NIU (not in universe)
1
Vegetal culture
2
Animal breeding
3
Agricultural mixed activities
4
Related auxiliary services
5
Silviculture
6
Forestry
7
Hunting
8
Pisciculture and fishing
9
Mining and preparation of coal
10
Extraction of crude petroleum and natural gas
11
Mining of uranium and thorium ores
12
Mining and preparation of ferrous ores
13
Mining and preparation of non-ferrous and rare ores
14
Mining of ores for construction materials production
15
Mining of salt
16
Mining of non-metalliferous ores
17
Production and manufacture of meat, fish, vegetables, fruits, oils and fats
18
Manufacture of dairy products
19
Milling, starch and concentrated fodders industry
20
Baking, sugar and other food products industry
21
Manufacture of alcoholic and nonalcoholic drinks
22
Tobacco and tobacco products industry
23
Textile and knitwear industry
24
Textile, furs and leather wearing apparel industry
25
Leather goods and footwear industry
26
Wood working (except furniture) industry
27
Pulp, paper and paper products industry
28
Polygraphy and publishing activity
29
Chemical coking industry
30
Manufacture of petroleum and nuclear fuel
31
Basic chemical products, fertilizers and plastic products industry
32
Paints, varnishes and other chemical products industry
33
Medicines and pharmaceutical products industry
34
Detergents, soaps and cosmetics industry
35
Chemical fibres and yarns industry
36
Rubber and plastic products industry
37
Glass and glass products industry
38
Ceramic, cement and other construction materials industry
39
Abrasive products, coal and graphite industry
40
Ferrous metallurgic industry
41
Non-ferrous metallurgic industry
42
Metallic constructions and metal products industry
43
Machinery, outfits and equipments industry.
44
Household machinery and appliances production
45
Bureautics and computing machinery and equipments industry
46
Electrotechnical industry
47
Electronic industry
48
Medical, precision and optical apparatus and instruments industry
49
Motor vehicles industry
50
Motor vehicles repair and maintenance
51
Sea and river ships construction
52
Railway transport means production
53
Aeronautic industry
54
Other transport means production and repair
55
Furniture production
56
Manufacture of musical instruments, sport articles, toys and other industrial activities
57
Recycling activity
58
Production and distribution of electric and thermal energy
59
Production and distribution of gas
60
Collection, purification and distribution of water
61
Construction
62
Motor vehicles, motorcycles and fuel trade
63
Goods wholesale trade
64
Goods retail trade
65
Hotel activity
66
Public catering activity
67
Railway transport
68
Motor transport and other land transport types
69
Transport via pipelines
70
Sea and river transport
71
Air transport
72
Rendered transport auxiliary services
73
Post, radio and telecommunications
74
Credit, financing, saving and other banking operations
75
Goods and persons insurances, pension offices
76
Real estate selling, buying and renting and other goods renting
77
Scientific research and technological development
78
Geological research and prospects
79
Architecture and design
80
Informatics and related activities
81
Economic agents rendered activities and services
82
National and local public administration
83
Foreign affairs, public order and justice
84
Compulsory social security
85
Pre-school and primary education
86
Secondary education
87
Tertiary and post-tertiary education
88
Health and social work
89
Sanitar-veterinary services
90
Associative activities (professional, politic, religious, diverse)
91
Cultural and artistical activities (theatre, cinema, radio, television)
92
Libraries, museums and other recreational units activities
93
Sport
94
Tourism
95
Sewage and refuse disposal
96
Population rendered services
97
Domestic personnel activity
98
International organizations activities within the country
99
Other activities and diverse services and unidentified activity
This variable indicates the main activity of the workplace.
Work: Industry Variables -- PERSON
IPUMS
Ownership structure of workplace
Ownership structure of workplace
Ownership structure of workplace
Ownership structure of workplace
Ownership structure of workplace
Questions 20-23 are to be completed only by persons who answered 1 or 2 to question 19. For persons looking for another job, the last occupation should be registered
23 Sector where the work place is registered
[] 1 Public
[] 2 Private individual
[] 3 Private association
[] 4 Mixed (public and private)
[] 5 Cooperative
[] 6 Other sector
Persons who are employed or seeking work not for the first time
NIU (not in universe)
1
Public (state)
2
Private individual
3
Private association
4
Mixed (public and private)
5
Co-operative
6
Other situation
This variable indicates the ownership structure of working place.
Work Variables -- PERSON
IPUMS
Tenure status of the household in dwelling
Tenure status of the household in dwelling
Tenure status of the household in dwelling
Tenure status of the household in dwelling
Tenure status of the household in dwelling
Ownership status
[] 1 Owner
[] 2 Tenant
[] 3 Other situation
Household heads
NIU (not in universe)
1
Owner
2
Tenant to the state
3
Other
This variable indicates the tenure status of the household in the dwelling.
Other Person Variables -- PERSON
IPUMS
Number of the family nucleus
Number of the family nucleus
Number of the family nucleus
Number of the family nucleus
Number of the family nucleus
Number of the family nucleus
All persons
Person without any family nucleus
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
This variable indicates the number of family nuclei.
Other Person Variables -- PERSON
IPUMS
Type of the family nucleus
Type of the family nucleus
Type of the family nucleus
Type of the family nucleus
Type of the family nucleus
Type of the family nucleus
All persons
1
Married couple with children
2
Married couple without children
3
Mother with children
4
Father with children
5
Person without any family nucleus
This variable indicates the type of family nucleus.
Other Person Variables -- PERSON
IPUMS
Relationship to the nucleus head
Relationship to the nucleus head
Relationship to the nucleus head
Relationship to the nucleus head
Relationship to the nucleus head
Relationship to the nucleus head
All persons
Person without any family nucleus
1
Nucleus head (male)
2
Wife
3
Child
This variable indicates the relationship with the nucleus head.
Other Person Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
PERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Person Variables -- PERSON
IPUMS
Years residing in current locality
Years residing in current locality
Years residing in current locality
Years residing in current locality
Years residing in current locality
Less than 1 year
1
1 year (or 1 year or less)
2
2 years
3
3 years
4
4 years
5
5 years
6
6 years
7
7 years
8
8 years
9
9 years
10
10 years
11
11 years
12
12 years
13
13 years
14
14 years
15
15 years
16
16 years
17
17 years
18
18 years
19
19 years
20
20 years
21
21 years
22
22 years
23
23 years
24
24 years
25
25 years
26
26 years
27
27 years
28
28 years
29
29 years
30
30 years
31
31 years
32
32 years
33
33 years
34
34 years
35
35 years
36
36 years
37
37 years
38
38 years
39
39 years
40
40 years
41
41 years
42
42 years
43
43 years
44
44 years
45
45 years
46
46 years
47
47 years
48
48 years
49
49 years
50
50 years
51
51 years
52
52 years
53
53 years
54
54 years
55
55 years
56
56 years
57
57 years
58
58 years
59
59 years
60
60 years
61
61 years
62
62 years
63
63 years
64
64 years
65
65 years
66
66 years
67
67 years
68
68 years
69
69 years
70
70 years
71
71 years
72
72 years
73
73 years
74
74 years
75
75 years
76
76 years
77
77 years
78
78 years
79
79 years
80
80 years
81
81 years
82
82 years
83
83 years
84
84 years
85
85 years
86
86 years
87
87 years
88
88 years
89
89 years
90
90 years
91
91 years
92
92 years
93
93 years
94
94 years
95
95+
96
Less than 5 years
97
More than 5 years
98
Unknown
99
NIU (not in universe)
MIGYRS1 indicates how many years the person has resided in their current locality of residence.
Migration Variables -- PERSON
IPUMS
Migration status, previous residence
Migration status, previous residence
Migration status, previous residence
Migration status, previous residence
Migration status, previous residence
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
98
Response suppressed
99
Not reported/missing
MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries.
Migration Variables -- PERSON
IPUMS
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
NIU (not in universe)
1
Less than primary completed
2
Primary completed
3
Secondary completed
4
University completed
9
Unknown
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
Education Variables -- PERSON
IPUMS
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
NIU (not in universe)
100
Less than primary completed (n.s.)
110
No schooling
120
Some primary completed
130
Primary (4 yrs) completed
211
Primary (5 yrs) completed
212
Primary (6 yrs) completed
221
Lower secondary general completed
222
Lower secondary technical completed
311
Secondary, general track completed
312
Some college completed
320
Secondary or post-secondary technical completed
321
Secondary, technical track completed
322
Post-secondary technical education
400
University completed
999
Unknown/missing
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
Education Variables -- PERSON
IPUMS
Religion [general version]
Religion [general version]
Religion [general version]
Religion [general version]
Religion [general version]
NIU (not in universe)
1
No religion
2
Buddhist
3
Hindu
4
Jewish
5
Muslim
6
Christian
7
Other
9
Unknown
RELIGION indicates the person's religion, including "none."
Ethnicity and Language Variables -- PERSON
IPUMS
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
NIU (not in universe)
1000
No religion
1001
Atheist
1002
Without religion
2000
Buddhist
3000
Hindu
4000
Jewish
5000
Muslim
5001
Khadrya
5002
Layenne
5003
Mouride
5004
Tidjane
5005
Ahmadis
5006
Sunni
5007
Shiek
5008
Other Muslim
6000
Christian
6001
Catholic (Roman or unspecified)
6002
Orthodox
6003
Protestant
6004
Evangelical protestant
6005
Pentacostal
6006
Adventist / Seventh-day adventist
6007
Anglican
6008
Assembly of God
6009
Baptist
6010
Church of the Nazarene
6011
Congregational
6012
Dutch Reformed
6013
Episcopalian
6014
Jehovah's Witnesses
6015
Latter Day Saints (Mormon)
6016
Lutheran
6017
Mennonite
6018
Methodist
6019
New Apostolic
6020
Presbyterian
6021
Zion Christian
6100
Other Christian, Austria
6101
Old Catholic
6102
Protestant, Augsburg confession
6103
Protestant, Westminster confession
6104
Protestant, Helvetic confession
6105
Greek Oriental
6106
Armenian Apostolic
6107
Other Protestant
6108
Christian Community for renewal
6109
Christian Community, not specified
6110
Other Christian, Brazil
6111
Christian Congregation of Brazil
6112
Brazilian Catholic Apostolic
6113
Brazil for Christ
6114
Foursquare Gospel
6115
Universal of the Kingdom of God
6116
House of the Blessing
6117
House of Prayer
6118
God is Love
6119
Maranata
6120
Other Christian, Brazil 1991
6121
Undetermined Protestant
6124
Other traditional Protestant
6125
Neo-Christian
6126
Other Neo-Christian
6127
Undetermined Christian
6128
Other Christian, Brazil 2000
6129
Other Catholic
6130
Renewed Evangelical Protestant without institutional ties
6131
Pentecostal Evangelical without institutional ties
6132
New Life Evangelical Protestant Pentecostal
6133
Evangelical Protestant Biblical Revival Pentecostal
6134
Chain Of Prayer Pentecostal
6135
Undetermined Evangelical Protestant
6136
Religion Of God
6137
Christian without institutional ties
6138
Other Christian, Canada
6139
Other Catholic
6140
United Church
6141
Protestant, not specified
6142
Other Protestant
6143
Other Christian, Germany
6144
Oriental Christian
6145
Other Christian, Ghana
6146
Other Christian, Iran
6147
Assyrian or Chaldean
6148
Armenian
6149
Other Christians
6150
Other Christian, Indonesia
6151
Other Christian
6152
Protestant/Other Christian
6153
Other Christian, Ireland
6154
Quaker
6155
Other Christian, Jamaica
6156
Brethren
6157
Church of God
6158
Church of God of Prophecy
6159
Other Church of God
6160
Moravian
6161
United Church
6162
Salvation Army
6163
New Testament
6164
Disciples of Christ
6165
Other Christian, Mexico
6166
Anabaptist
6167
Calvinist
6168
Cuaquera
6169
Disciples of Christ
6170
Christian Friendship Church
6171
Prayer House Church
6172
Faith Center
6173
Agape Force Church
6174
Alpha and Omega Church
6175
Living Water Church
6176
Apostolic Church
6177
Church of God
6178
Church of God of Prophecy
6179
Complete Gospel Church
6180
Evangelical Siblings Church
6181
Upper Room Church
6182
Pentacostal Indigenous Church
6183
Angular Stone Voice Church
6184
Pentacostal Missionary
6185
Christian
6186
Christian Societies
6187
Evangelical
6188
Evangelical Societies
6189
New Testament Evangelical
6190
Pentecostal
6191
Pentecostal Societies
6192
Independent Pentecostal
6193
Evangelical Christian Societies
6194
Pentecostal Christian Societies
6195
Evangelical Pentecostal Societies
6196
Evangelical Pentecostal Christian Societies
6197
Soldiers of Christ's Cross Church
6198
Tabernacle
6199
Traditionalists
6200
Other Evangelical Pentecostal Societies
6201
Pentecostal not clearly specified
6202
Living God, Light of the World
6203
Christian and Missionary Alliance
6204
Non-Pentecostal Apostolic
6205
Evangelical Associations
6206
Biblical
6207
Confraternities
6208
Christ Church
6209
Peace Grace and Misericordia Church
6210
Open Bible Church
6211
Holiness Church
6212
Evangelical Salem Church
6213
Beautiful Woman Dressed in the Sun
6214
Messianic Church
6215
Evangelical Ministers
6216
Evangelical Missionaries
6217
Evangelical Movements
6218
New Jerusalem
6219
World Vision Church
6220
Evangelical not clearly specified
6221
Biblical - non-evangelicals
6222
Other Christians not clearly specified
6223
Assumptionist
6224
Carmelite
6225
Claretian
6226
Conception Franciscan
6227
Maronite Diocese of Mexico
6228
Dominican
6229
Servants of Mary Immaculate
6230
Franciscan
6231
Guadalupan
6232
Daughters of the Immaculate Conception
6233
Jesuit
6234
Legionaries of Christ
6235
Divine Word Missionary
6236
Pauline
6237
Sacred Heart
6238
Saint Joseph of Tarbes
6239
Servant of the Lord and the Virgin
6240
Servant of Jesus
6241
Greek Catholic Church
6242
Reformed Roman Catholic Church
6243
Mexican National Catholic Church
6244
Tridentine Latin Rite Catholic Church
6245
Priestly Society Trento
6246
Mexican Catholic Union of Trento
6247
Anabaptist / Memnonite
6248
Anglican / Episcopal
6249
House of Prayer
6250
Center of Faith, Hope and Love of the Missionary Revival Crusade
6251
Center of Faith, Hope and Love Agape Force
6252
Salvation Army
6253
Independent Pentecostal Fellowship
6254
Upper Chamber Church
6255
Faith Apostolic Church of Jesus Christ
6256
Spiritual Christian Church
6257
Pentecostal Evangelical Christian Church
6258
Interdenominational Christian Church
6259
Church of God Full Gospel in Mexico
6260
Church of Jesus Christ on the Rock
6261
Christ Evangelical Pentecostal Church Rock of my Salvation
6262
Mexican Church of Christ's Gospel Pentecost
6263
United Pentecostal Church of Mexico
6264
Universal Church of the Kingdom of God
6265
Only Christ Savior Christian Church
6266
Independent Evangelical Pentecostal Movement
6267
Prince of Peace
6268
National Union of Evangelical Christian Churches (UNICE)
6269
Union of Independent Evangelical Churches
6270
Other associations Pentecostal
6271
Church of the Living God, Pillar and Support of Truth, the Light of the World
6272
Bible Church
6273
Interdenominational Christian Church in Mexico
6274
Church of Christ
6275
Honey Church of Christ
6276
Independent Evangelical Church in Mexico
6277
Renewed Church of Jesus Christ and the Apostles of Divine Love
6278
Other Christian and Evangelical associations without Pentecostal support
6279
Faith Christian Church
6280
Traditional Apostolic Catholic Holy Church Mexico-USA
6281
Mexican Apostolic Catholic Church
6282
Elias
6283
Spiritualistic
6284
Spiritualist
6285
Marian Trinitarian Spirituality
6286
Spirituality of the Third Age
6287
Christian Spiritual
6288
Judiciary Society Reign of Leonardo Alcalá Leos
6289
Spirituality for the Divine Master and the purity of Mary
6290
Light and Hope
6291
Holy Spirit, Purity, Love and Light
6292
Christian Science
6293
Other Christian, Netherlands
6294
Reformed Churches in The Netherlands
6295
Other Reformed
6296
Other Christian, Nicaragua
6297
Moravian
6298
Other Christian, Philippines
6299
Aglipay
6300
Bible Christian Committees
6301
Born-again Christian
6302
Bread of Life Ministries
6303
Charismatic Full Gospel Ministries
6304
Christ the Living Stone Fellowship
6305
Christian and Missionary Alliance
6306
Christians Missions
6307
Church of Christ
6308
Evangelical Christian Outreach Foundation
6309
Evangelical Free Church
6310
Filipino Assemblies of the First Born Inc.
6311
Foursquare Gospel
6312
Free Believers in Christ Fellowship
6313
Free Mission in the Philippines Inc.
6314
God World Mission
6315
Good News Christian Churches
6316
IEMELIF Reform Movement
6317
Iglesia Evangelista Methodista en Las
6318
Iglesia ni Cristo
6319
Jesus Christ Saves Global Outreach
6320
Jesus is Lord Church
6321
Jesus Reigns Ministries
6322
Love of Christ International Ministries
6323
Other evangelical
6324
Other Evangelical Church
6325
Other Protestants
6326
Philippine Evangelical Mission
6327
Philippine Grace Gospel Fellowship
6328
Philippines Benevolent Missionaries
6329
Potter's House Christian Center
6330
Salvation Army Philippines
6331
Take the Nation for Jesus Global Ministries (Corpus Christi)
6332
UNIDA Evangelical Church
6333
United Church of Christ in the Philippines
6334
United Evangelical Church of the Philippines (Chinese)
6335
Victory Chapel Christian Fellowship
6336
Wesleyan Church
6337
World Missionary Evangelism
6338
Worldwide Church of God
6339
Zion Christian Community Church
6340
Other Christian, Portugal
6341
Other Christian, Romania
6342
Greek Catholic
6343
Reformed Church
6344
Evangelic of Augustan Confession
6345
Evangelic Synodo-Presbyterian
6346
Christian of Old Rite
6347
Christian by Gospel
6348
Evangelic
6349
Other Christian, Rwanda 2002
6350
Other Christian, Sierra Leone
6351
Other Christian, South Africa
6352
Reformed
6353
International Fellowship of Christian Churches
6354
Apostolic Faith Mission of SA
6355
Other Apostolic Churches
6356
Pinkster Protestant Church
6357
Afrikaanse Protestant Church
6358
Full Gospel Church of God in Southern Africa
6359
Pentecostal Churches
6360
Salvation Army
6361
Bandla Lama Nazaretha
6362
African Methodist Episcopal Church
6363
St John's Apostolic Church
6364
International Pentecost Church
6365
Ethiopian type churches
6366
Ethnic churches
6367
Other African Independent Churches
6368
Other Christian Churches
6369
Other Catholic Churches
6370
Other Pentecostal Churches
6371
Other Orthodox Churches
6372
Other African Apostolic churches
6373
Other Assemblies
6374
Christian Scientist
6375
Christian Centres
6376
Other Evangelical Churches
6377
Other Charismatic Churches
6378
Other Christian, Uganda
6379
Other Christian
6380
Other Christian, Saint Lucia
6381
Church of God
6382
Other Christian, Senegal
6383
Other Christian
6384
Other Christian, Switzerland
6385
Other protestant churches and communities
6386
Christ-Catholic church
6387
Other Christian communities
6388
Other Christian non-Catholic, Uruguay
6389
Other Christian, Fiji
6390
Christian undefined
6391
Church of England
6392
Gospel Hall and Brethern
6393
CMF (Every Home)
6394
Salvation Army
6395
All Nations Christian Fellowship
6396
Apostles Gospel Outreach Fellowship
6397
Christian Outreach Centre
6398
Other Christian, Brazil 2010
6399
Salvation Army
6400
Other Christian, Cameroon
6401
Other Christian, Armenia
6402
Armenia apostolic
6403
Nestorian
6404
Molokai
6406
Other Christian, Paraguay
6408
Christian Community
6409
Free Brothers
6410
Church of God
6411
Church of God of Prophecy
6412
New testament
6414
God is love
6415
Universal Church of the Kingdom of God
6416
People of God
6417
Family worship center
6418
Pseudo-Christian groups
6419
Other Christian, Paraguay
7000
Other
7001
Bahai
7002
Sikh
7003
Other, Austria
7004
Unification Church, Austria
7005
Other, Brazil
7006
Spiritist
7007
Kardecist Spiritist
7008
Afro Spiritist
7009
Mediumistic Spiritist
7010
Umbandist Mediumistic
7011
Candomblecist Mediumistic
7012
Other Afro-Brazilian
7013
Oriental, Brazil
7014
New Oriental
7015
Oriental Seicho No-le
7016
Other Oriental, Brazil
7017
Esoteric, Brazil
7018
Indigenous, Brazil
7019
Other minority groups, Brazil
7020
Other, Canada
7021
Eastern religions, Canada
7022
Other, Chile
7023
Theosophism
7024
Shintoism
7025
Other, Germany
7026
Other, Germany
7027
Other, Ghana
7028
Traditional, Ghana
7029
Other, Guinea
7030
Animist
7031
Other, Guinea
7032
Other, India
7033
Jainism
7034
Zoroastrianism
7035
Other, India
7036
Other, Indonesia
7037
Confucianism
7038
Other, Indonesia
7039
Other, Iran
7040
Zoroastrian
7041
Other, Iran
7042
Other, Jamaica
7043
Muslim/Hindu
7044
Rastafarian
7045
Other, Israel
7046
Druse
7047
Other, Israel
7048
Other, Malaysia
7049
Confucianism/Taoism
7050
Tribal/Folk religion, Malaysia
7051
Other, Mexico
7052
Brahmanism
7053
Hare Krishna
7054
Shintoism
7055
Taoism
7056
Mexican Movements
7057
Ananda Marga
7058
Church of Scientology
7059
Masons
7060
Raelian Movement
7061
New Age Movement
7062
Neoisraelites
7063
Occultists
7064
Palmar of Troya
7065
Rose Cross
7066
Theosophism
7067
Spiritualist Special Keys
7068
Onkaranada Center
7069
Confucianism
7070
Shia
7071
Universal Great Brotherhood
7072
Esoteric Science
7073
Gnosticism
7074
Metaphysics
7075
Wicca
7076
Shamanism
7077
The Custom
7078
Mexicayotl
7079
Restorative Confederate Movement of Anahuac Culture
7080
African Origin
7081
Rastafarians
7082
Indigenous Religions
7083
Growing in Grace
7084
Eckankar
7085
Transcendental Meditation
7086
Mission Branch
7087
Children of God
7088
Sri Sathya Sai Baba
7089
Other new religious movements
7090
Other, Philippines
7091
Door of Faith
7092
Faith Tabernacle Church (Living Rock Ministries)
7093
International One Way Outreach
7094
Miracle Life Fellowship International
7095
Miracle Revival Church of the Philippines
7096
Philippine Good News Ministries
7097
Philippine Missionary fellowship
7098
Things to Come
7099
Way of Salvation
7100
Word of the World
7101
Tribal Religions, Philippines
7102
Other, Romania
7103
Unitarian
7104
Armenian
7105
Mosaic
7106
Other, Romania
7107
Other, Rwanda
7108
Traditional religion, Rwanda
7109
Other, Rwanda
7110
Other, Sierra Leone
7111
Traditional religion, Sierra Leone
7112
Other, South Africa
7113
African traditional belief
7114
Taoist
7115
Confucian
7116
New Age
7117
Other non-Christian, S. Africa
7118
Other, Uganda
7119
Traditional religion
7120
Other non-Christian, Uganda
7121
Other, United Kindom
7122
Other, Vietnam
7123
Hoa Hoa
7124
Cao Dai
7125
Other, Nepal
7126
Kirat
7127
Jain
7128
Garaute
7129
Tap jura
7130
Other, Pakistan
7131
Ahmadi
7132
Parsi
7133
Scheduled caste
7134
Other, Saint Lucia
7135
Rastafarian
7136
Other, Thailand
7137
Confucian
7138
Other, Uruguay
7139
Umbanda/other Afro-American
7140
Other, Uruguay
7141
Other, Burkina Faso
7142
Animist
7143
Other, Fiji
7144
Confucian
7145
Kabir Panthi
7146
Satya Sai Baba
7147
Bahai
7148
Other non-Christian, Fiji
7149
Other, Haiti
7150
Voodoo
7151
Other, Cameroon
7152
Animist
7153
Other, Liberia
7154
Traditional
7155
Other, Mali
7156
Animist
7157
Other, Nigeria
7158
Traditional
7159
Other, Armenia
7160
Pagan
7161
Shar-fadinian
7162
Other, Ethiopia
7163
Traditional
7164
Other, Ethiopia
7165
Other, Paraguay
7166
Philosophical revelations
7167
Indigenous religion
7168
Reyukai
7169
Other, Paraguay
7900
Other, not elsewhere classified
9999
Unknown
RELIGION indicates the person's religion, including "none."
Ethnicity and Language Variables -- PERSON
IPUMS
Educational attainment, Europe
Educational attainment, Europe
Educational attainment, Europe
Educational attainment, Europe
Educational attainment, Europe
NIU (not in universe)
10
Less than primary
20
Primary (first stage of basic education)
30
Lower secondary (second stage of basic education)
40
Upper secondary
50
Post-secondary non-tertiary education
60
University completed
99
Unknown/missing
EEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. 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. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities.
EEDATTAIN 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. EEDATTAIN 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 EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country.
Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL.
EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples.
Education Variables -- PERSON
IPUMS
Activity status (employment status), Europe
Activity status (employment status), Europe
Activity status (employment status), Europe
Activity status (employment status), Europe
Activity status (employment status), Europe
NIU (not in universe)
110
Employed
120
Unemployed
121
Unemployed, never worked before
200
Not economically active, unspecified
210
Students
220
Pension or capital income recipients
230
Homemakers
240
Others
999
Unknown / missing
EEMPSTAT indicates for the European samples 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, EEMPSTAT can also convey further information.
EEMPSTAT has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Employment Status" is referred to as "Activity Status" in the CES recommendations, but the former term is used to maintain consistency with IPUMS practices.
The economically active population constitutes the total labor force: employed and unemployed persons.
Work Variables -- PERSON
IPUMS
Status in employment (class of worker), Europe
Status in employment (class of worker), Europe
Status in employment (class of worker), Europe
Status in employment (class of worker), Europe
Status in employment (class of worker), Europe
NIU (not in universe)
1
Employees
2
Employers
3
Own-account worker
4
Contributing family workers
5
Members of producers' co-operatives
6
Persons not classificable by status
9
Unknown
ECLASSWK refers in European Samples 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.
ECLASSWK is related to EEMPSTAT (employment status), which is used to define the universe for the variable in many samples.
ECLASSWK has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Class of worker" is referred to as "Status in Employment" in the CES recommendations. The former term is used to maintain concordance with IPUMS practice.
Work Variables -- PERSON
IPUMS
Ethnicity, Romania
Ethnicity, Romania
Ethnicity, Romania
Ethnicity, Romania
Ethnicity, Romania
10
Romanian
11
Hungarian
12
Gypsy
13
German
14
Ukrainian
15
Serbian
16
Turk
17
Tartar
18
Slovakian
19
Jewish
20
Russian
21
Lipovan
22
Bulgarian
23
Czech
24
Croat
25
Greek
26
Pole
27
Armenian
29
Saxon
30
Swabian
31
Macedoromanian
32
Aromanian
33
Szekler
35
Carasoveni
36
Italian
37
Chinese
38
Albanian
40
Macedonian
41
Csango
42
Rudari
43
Moldovan
44
Slovenian
45
Ruthenian
50
Other ethnic group from European Union
60
Other ethnic group from Europe
70
Other ethnic group from other continents
80
Other, not specified
98
Response suppressed
99
Unknown
ETHNICRO indicates the nationality or ethnic group of the respondent.
Ethnicity and Language Variables -- PERSON
IPUMS
Mother tongue, Romania
Mother tongue, Romania
Mother tongue, Romania
Mother tongue, Romania
Mother tongue, Romania
10
Romanian
11
Hungarian
12
Gypsy
13
German
14
Ukrainian
15
Serbian
16
Turkish
17
Tartar
18
Slovakian
19
Yiddish
20
Russian
21
Lipovenian
22
Bulgarian
23
Czech
24
Croatian
25
Greek
26
Polish
27
Armenian
29
Saxonian
30
Swabian
31
Macedoromanian
32
Aromanian
36
Italian
37
Chinese
40
Macedonian
41
Ruthenian
42
Slovenian
50
Other mother tongues
51
From European Union
52
From Europe
53
From other continents
98
Response suppressed
99
Unknown
MTONGRO indicates the respondent's mother tongue: the first language spoken in early childhood.
Ethnicity and Language Variables -- PERSON
IPUMS
Country of birth
Country of birth
Country of birth
Country of birth
Country of birth
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11051
Ethiopia (including Eritrea)
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11990
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12990
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13011
Algeria/Tunisia
13020
Egypt
13021
Egypt/Sudan
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13990
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14990
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15021
Upper Volta
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15081
Guinea-Bissau and Cape Verde
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15990
West Africa, n.s.
19990
Africa, other and n.s.
19991
Central and South Africa
19992
East and Central Africa
19993
Southeastern Africa
19994
Saharan Africa
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St Thomas
21240
St. Vincent
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21990
Other Caribbean and n.s.
21991
Caribbean commonwealth, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22990
Central America, n.s.
22991
Central America and Caribbean
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23990
South America, other and n.s.
23991
South America or Central America, n.s.
23992
Central/South America and Caribbean
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24990
North America, other and n.s.
24991
North America/Oceania
29990
Americas, other and n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
31990
Eastern Asia, n.s.
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32041
India/Pakistan
32042
India/Pakistan/Bangladesh/Sri Lanka
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32101
Pakistan/Bangladesh
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
32999
South-Central Asia, n.s.
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33030
East Timor
33040
Indonesia
33050
Laos
33060
Malaysia
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
33990
South-Eastern Asia, n.s.
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34071
Israel/Palestine
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestinian Territories
34111
West Bank
34112
Gaza Strip
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34151
Syria/Lebanon
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34990
Western Asia, n.s.
34991
Middle East
39990
Asia, other and n.s.
39991
Central Asia and Middle East, n.s.
39992
Far East, n.s.
39993
Eastern/Southeast Asia, n.s.
39994
Asia/Middle East, other and n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41021
Bulgaria/Greece
41030
Czech Republic/Czechoslovakia
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41990
Eastern Europe, other and n.s.
41991
Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia
41992
Central-Eastern Europe
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42100
Svalbard and Jan Mayen Islands
42110
Sweden
42120
United Kingdom
42990
Northern Europe, n.s.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia and Herzegovina
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43071
Vatican City
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43121
Spain/Portugal
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43143
Serbia and Montenegro
43144
Kosovo
43990
Southern Europe, n.s.
43991
Gibraltar/Malta
43992
Portugal/Greece
43993
Italy, Holy See, San Marino
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxemburg
44022
Belgium/Netherlands/Luxemburg
44030
France
44040
Germany
44041
Germany/Austria
44042
West Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44990
Western Europe, n.s.
44991
Belgium, Denmark, Luxembourg, Netherlands
49991
Turkey and U.S.S.R.
49992
European Union
49993
European Union (Original 15)
49994
Other European Union
49995
EEA, Switzerland, associated microstates
49999
Europe, other and n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
52999
Melanesia, n.s.
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53990
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Eastern Samoa
54070
Tokelau
54080
Tonga
54090
Tuvalu
54100
Wallis and Futuna Isls.
54990
Polynesia, n.s.
55000
U.S. Pacific Possessions
55010
American Samoa
55020
Baker Island
55030
Guam
55040
Howland Island
55050
Johnston Atoll
55060
Kingman Reef
55070
Midway Islands
55080
Wake Island
55990
Other US Pacific
59990
Oceania, n.s.
60000
OTHER ABROAD
60100
U.S. Outlying Areas and Territories
60200
Africa/Other
60300
Central/South America or Africa
60400
Asia/Africa
60500
Europe, Australia, New Zealand
60600
Other commonwealth
60700
Asia, Australia, Oceania, n.s.
69900
Other countries, not specified
99999
Unknown
BPLCOUNTRY indicates the person's country of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
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