DDI_GBR_1991_PHC_v01_M_v02_A_IPUMS
Minnesota Population Center
Development Data Group
2016-04-25
NADA
Version 6.4 (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)
Census 1991 - IPUMS Subset
PHC 1991 (IPUMS Harmonized Subset)
GBR_1991_PHC_v01_M_v02_A_IPUMS
Centre for Census and Survey Research
Minnesota Population Center
(c) Copyright 1991, Centre for Census and Survey Research and Minnesota Population Center
NADA
Centre for Census and Survey Research
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
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
Ethnicity and Language Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Migration Variables -- PERSON
Disability Variables -- PERSON
Geography: M-Z Variables -- HOUSEHOLD
Household Economic Variables -- HOUSEHOLD
Other Household Variables -- HOUSEHOLD
Nativity and Birthplace Variables -- PERSON
Other Person Variables -- PERSON
Work: Industry Variables -- PERSON
Work: Occupation Variables -- PERSON
Income 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.
United Kingdom
National coverage
SARs region
Occupied private dwellings and communal establishments
UNITS IDENTIFIED:
- Dwellings: No
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
Every person who spends census night (21-22 April) in the household, including anyone staying temporarily; any other people who are usually members of the household but on the census night are absent on holiday, at school or college, or for any other reason even if they are being included on another census form elsewhere; anyone who arrives here on Monday 22nd April who was in Great Britain on the Sunday and who has not been included as present on another census form; and any newly born baby born before the 22nd April, even if still in hospital.
Census/enumeration data [cen]
MICRODATA SOURCE: Office of Population Censuses and Surveys. Constructed from fully-coded household and communal establishments forms.
SAMPLE UNIT: Dwelling
SAMPLE FRACTION: 2.0%
SAMPLE SIZE (person records): 541,894
Face-to-face [f2f]
Form for private households (H), Form for making and individual return (I), and Form for communal establishments, HM Ships or other vessels (L)
De facto and de jure, CENSUS DAY: April 21, 1991
Self-enumeration
Weights computed by census agency.
UNDERCOUNT: 2.0% of the population of Great Britain missed entirely and a further 1.6 per cent for whom records were imputed.
IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.
To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
IPUMS-International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS-International uses a variety of technical procedures to enhance confidentiality protection. These include the following:
(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.
(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.
(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)
(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.
The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS-International are designed to extend this record.
IPUMS International
Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [Machine-readable database]. Minneapolis: University of Minnesota, 2015.
Researchers should also acknowledge the statistical agency that originally produced the data:
United Kingdom, Centre for Census and Survey Research, 1991 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.
1991-H-H
Household records
0
45
1991-P-H
Person records
0
106
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
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
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 /Â Bayern
603
DE3 /Â Berlin
604
DE4 /Â Brandenburg
605
DE5 /Â Bremen
606
DE6 /Â Hamburg
607
DE7 /Â Hessen
608
DE8 /Â Mecklenburg-Vorpommern
609
DE9 /Â Niedersachsen
610
DEA /Â Nordrhein-Westfalen
611
DEB /Â Rheinland-Pfalz
612
DEC /Â Saarland
613
DED /Â Sachsen
614
DEE /Â Sachsen-Anhalt
615
DEF /Â 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 / ÃŽle 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
Automobiles available
Automobiles available
Automobiles available
Automobiles available
Automobiles available
No autos
1
1 auto
2
2 autos
3
3 autos
4
4 autos
5
5 autos
6
6+ autos
7
Have auto, number unspecified
8
Unknown
9
NIU (not in universe)
AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Central heating
Central heating
Central heating
Central heating
Central heating
NIU (not in universe)
1
No heating
2
Central heating, not specified
3
Collective central heating
4
Individual central heating
5
Other heating, not central
6
Heating, unspecified
7
No central heating/heating unknown
9
Unknown
HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
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
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
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 RÃos [Province: Argentina]
32034
Formosa [Province: Argentina]
32038
Jujuy [Province: Argentina]
32042
La Pampa [Province: Argentina]
32046
La Rioja [Province: Argentina]
32050
Mendoza [Province: Argentina]
32054
Misiones [Province: Argentina]
32058
Neuquén [Province: Argentina]
32062
RÃo Negro [Province: Argentina]
32066
Salta [Province: Argentina]
32070
San Juan [Province: Argentina]
32074
San Luis [Province: Argentina]
32078
Santa Cruz [Province: Argentina]
32082
Santa Fe [Province: Argentina]
32086
Santiago del Estero [Province: Argentina]
32090
Tucumán [Province: Argentina]
32094
Tierra del Fuego [Province: Argentina]
32099
Unknown [Province: Argentina]
40011
Burgenland [State: Austria]
40012
Niederösterreich [State: Austria]
40013
Wien [State: Austria]
40021
Kärnten [State: Austria]
40022
Steiermark [State: Austria]
40031
Oberösterreich [State: Austria]
40032
Salzburg [State: Austria]
40033
Tirol [State: Austria]
40034
Vorarlberg [State: Austria]
50010
Barisal [Division, Bangladesh]
50020
Chittagong [Division, Bangladesh]
50030
Dhaka [Division, Bangladesh]
50040
Khulna [Division, Bangladesh]
50050
Rajshahi, Rangpur [Division, Bangladesh]
50060
Sylhet [Division, Bangladesh]
51901
Yerevan [Province: Armenia]
51902
Aragatsotn [Province: Armenia]
51903
Ararat [Province: Armenia]
51904
Armavir [Province: Armenia]
51905
Gegharkunik [Province: Armenia]
51906
Lori [Province: Armenia]
51907
Kotayk [Province: Armenia]
51908
Shirak [Province: Armenia]
51909
Syunik [Province: Armenia]
51910
Vayots Dzor [Province: Armenia]
51911
Tavush [Province: Armenia]
68001
Chuquisaca [Department: Bolivia]
68002
La Paz [Department: Bolivia]
68003
Cochabamba [Department: Bolivia]
68004
Oruro [Department: Bolivia]
68005
Potosà [Department: Bolivia]
68006
Tarija [Department: Bolivia]
68007
Santa Cruz [Department: Bolivia]
68008
Beni [Department: Bolivia]
68009
Pando [Department: Bolivia]
76011
Rondonia [State: Brazil]
76012
Acre [State: Brazil]
76013
Amazonas [State: Brazil]
76014
Roraima [State: Brazil]
76015
Pará [State: Brazil]
76016
Amapa [State: Brazil]
76021
Maranhao [State: Brazil]
76022
Piauà [State: Brazil]
76023
Ceará [State: Brazil]
76024
Rio Grande do Norte [State: Brazil]
76025
Paraiba [State: Brazil]
76026
Pernambuco [State: Brazil]
76027
Alagoas [State: Brazil]
76028
Sergipe [State: Brazil]
76029
Bahia [State: Brazil]
76031
Minas Gerais [State: Brazil]
76032
EspÃrito Santo [State: Brazil]
76033
Rio de Janeiro [State: Brazil]
76035
São Paulo [State: Brazil]
76041
Parana [State: Brazil]
76042
Santa Catarina [State: Brazil]
76043
Rio Grande do Sul [State: Brazil]
76051
Mato Grosso, Mato Grosso do Sul [State: Brazil]
76052
Goiás and Tocantins [State: Brazil]
76053
Distrito Federal [State: Brazil]
112001
Brest [Region: Belarus]
112002
Vitebsk [Region: Belarus]
112003
Gomel [Region: Belarus]
112004
Grodno [Region: Belarus]
112006
Minsk [Region: Belarus]
112007
Mogilev [Region: Belarus]
116001
Banteay Meanchey [Province: Cambodia]
116002
Battambang [Province: Cambodia]
116003
Kampong Cham [Province: Cambodia]
116004
Kampong Chhnang [Province: Cambodia]
116005
Kampong Speu [Province: Cambodia]
116006
Kampong Thom [Province: Cambodia]
116007
Kampot [Province: Cambodia]
116008
Kandal [Province: Cambodia]
116009
Koh Kong [Province: Cambodia]
116010
Kratie [Province: Cambodia]
116011
Mondul Kiri [Province: Cambodia]
116012
Phnom Penh [Province: Cambodia]
116013
Preah Vihear [Province: Cambodia]
116014
Prey Veng [Province: Cambodia]
116015
Pursat [Province: Cambodia]
116016
Rotanak Kiri [Province: Cambodia]
116017
Siem Reap and Otdar Meanchey [Province: Cambodia]
116018
Preah Sihanouk [Province: Cambodia]
116019
Stung Treng [Province: Cambodia]
116020
Svay Rieng [Province: Cambodia]
116021
Takeo [Province: Cambodia]
116023
Kep [Province: Cambodia]
116024
Pailin [Province: Cambodia]
120002
Centre, Sud [Province: Cameroon]
120003
Est [Province: Cameroon]
120004
Nord, Adamoua , Extrème Nord [Province: Cameroon]
120005
Littoral [Province: Cameroon]
120007
Nord Ouest [Province: Cameroon]
120008
Ouest [Province: Cameroon]
120010
Sud Ouest [Province: Cameroon]
124010
Newfoundland and Labrador [Province: Canada]
124011
Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada]
124012
Nova Scotia [Province: Canada]
124013
New Brunswick [Province: Canada]
124024
Quebec [Province: Canada]
124035
Ontario [Province: Canada]
124046
Manitoba [Province: Canada]
124047
Saskatchewan [Province: Canada]
124048
Alberta [Province: Canada]
124059
British Columbia [Province: Canada]
152002
Antofagasta and Tarapacá [Region: Chile]
152004
Atacama and Coquimbo [Region: Chile]
152007
Del Maule [Region: Chile]
152008
Del Biobio [Region: Chile]
152009
La AraucanÃa [Region: Chile]
152010
Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile]
152012
Magallanes and La Antártica Chilena [Region: Chile]
152013
Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile]
152099
Unknown [Region: Chile]
156011
Beijing (municipality) [Province: China]
156012
Tianjin (municipality) [Province: China]
156013
Hebei [Province: China]
156014
Shanxi [Province: China]
156015
Inner Mongolia [Province: China]
156021
Liaoning [Province: China]
156022
Jilin [Province: China]
156023
Heilongjiang [Province: China]
156031
Shanghai (municipality) [Province: China]
156032
Jiangsu [Province: China]
156033
Zhejiang [Province: China]
156034
Anhui [Province: China]
156035
Fujian [Province: China]
156036
Jiangxi [Province: China]
156037
Shangdong [Province: China]
156041
Henan [Province: China]
156042
Hubei [Province: China]
156043
Hunan [Province: China]
156044
Guangdong and Hainan [Province: China]
156045
Guangxi [Province: China]
156051
Sichuan [Province: China]
156052
Guizhou [Province: China]
156053
Yunnan [Province: China]
156054
Tibet [Province: China]
156061
Shaanxi [Province: China]
156062
Gansu [Province: China]
156063
Qinghai [Province: China]
156064
Ningxia [Province: China]
156065
Xinjiang [Province: China]
170005
Antioquia [Department: Colombia]
170008
Atlántico [Department: Colombia]
170011
Bogotá [Department: Colombia]
170013
BolÃvar and Sucre [Department: Colombia]
170015
Boyacá and Casanare [Department: Colombia]
170018
Caquetá [Department: Colombia]
170019
Cauca [Department: Colombia]
170023
Córdoba [Department: Colombia]
170025
Cundinamarca [Department: Colombia]
170027
Chocó [Department: Colombia]
170041
Huila [Department: Colombia]
170044
La Guajira [Department: Colombia]
170047
Cesar and Magdalena [Department: Colombia]
170050
Meta and Vichada [Department: Colombia]
170052
Nariño [Department: Colombia]
170054
Norte de Santander [Department: Colombia]
170066
Caldas, QuindÃo, and Risaralda [Department: Colombia]
170068
Santander [Department: Colombia]
170073
Tolima [Department: Colombia]
170076
Valle [Department: Colombia]
170081
Arauca [Department: Colombia]
170086
Putumayo [Department: Colombia]
170088
San Andrés [Department: Colombia]
170091
Amazonas [Department: Colombia]
170095
Guaviare, Vaupés, and GuainÃa [Department: Colombia]
188001
San José [Province: Costa Rica]
188002
Alajuela [Province: Costa Rica]
188003
Cartago [Province: Costa Rica]
188004
Heredia [Province: Costa Rica]
188005
Guanacaste [Province: Costa Rica]
188006
Puntarenas [Province: Costa Rica]
188007
Limón [Province: Costa Rica]
192001
Pinar del RÃo [Province: Cuba]
192002
La Habana [Province: Cuba]
192003
Ciudad de la Habana [Province: Cuba]
192004
Matanzas [Province: Cuba]
192005
Villa Clara [Province: Cuba]
192006
Cienfuegos [Province: Cuba]
192007
Sancti Spiritus [Province: Cuba]
192008
Ciego de Avila [Province: Cuba]
192009
Camagüey [Province: Cuba]
192010
Las Tunas [Province: Cuba]
192011
HolguÃn [Province: Cuba]
192012
Granma [Province: Cuba]
192013
Santiago de Cuba [Province: Cuba]
192014
Guantánamo [Province: Cuba]
192099
Isla de la Juventud [Province: Cuba]
214001
Federal district and Santo Domingo [Province: Dominican Republic]
214002
Azua [Province: Dominican Republic]
214003
Baoruco [Province: Dominican Republic]
214004
Barahona [Province: Dominican Republic]
214005
Dajabón [Province: Dominican Republic]
214006
Duarte [Province: Dominican Republic]
214007
ElÃas Piña [Province: Dominican Republic]
214008
El Seibo and Hato Mayor [Province: Dominican Republic]
214009
Espaillat [Province: Dominican Republic]
214010
Independencia [Province: Dominican Republic]
214011
La Altagracia and La Romana [Province: Dominican Republic]
214013
La Vega and Monseñor Nouel [Province: Dominican Republic]
214014
MarÃa Trinidad Sánchez and Samaná [Province: Dominican Republic]
214015
Monte Cristi [Province: Dominican Republic]
214016
Pedernales [Province: Dominican Republic]
214017
Peravia and San José de Ocoa [Province: Dominican Republic]
214018
Puerto Plata [Province: Dominican Republic]
214019
Hermanas Mirabal [Province: Dominican Republic]
214021
San Cristóbal and Monte Plata [Province: Dominican Republic]
214022
San Juan [Province: Dominican Republic]
214023
San Pedro de MacorÃs [Province: Dominican Republic]
214024
Sánchez RamÃrez [Province: Dominican Republic]
214025
Santiago [Province: Dominican Republic]
214026
Santiago RodrÃguez [Province: Dominican Republic]
214027
Valverde [Province: Dominican Republic]
218001
Azuay [Province: Ecuador]
218002
BolÃvar [Province: Ecuador]
218004
Carchi [Province: Ecuador]
218005
Cotopaxi [Province: Ecuador]
218006
Chimborazo [Province: Ecuador]
218007
El Oro [Province: Ecuador]
218009
Cañar, Esmeraldas, Guayas, ManabÃ, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los RÃos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero
218010
Imbabura, Las Golondrinas [Disputed canton] [Disputed canton]
218011
Loja [Province: Ecuador]
218014
Morona Santiago [Province: Ecuador]
218016
Pastaza [Province: Ecuador]
218018
Tungurahua [Province: Ecuador]
218019
Zamora Chinchipe [Province: Ecuador]
218021
Napo, Orellana, SucumbÃos [Province: Ecuador]
218099
Unknown [Province: Ecuador]
222001
Ahuachapán [Department: El Salvador]
222002
Santa Ana [Department: El Salvador]
222003
Sonsonate [Department: El Salvador]
222004
Chalatenango [Department: El Salvador]
222005
La Libertad [Department: El Salvador]
222006
San Salvador [Department: El Salvador]
222007
Cuscatlán [Department: El Salvador]
222008
La Paz [Department: El Salvador]
222009
Cabañas [Department: El Salvador]
222010
San Vicente [Department: El Salvador]
222011
Usulután [Department: El Salvador]
222012
San Miguel [Department: El Salvador]
222013
Morazán [Department: El Salvador]
222014
La Unión [Department: El Salvador]
231001
Tigray [Region: Ethiopia]
231002
Affar [Region: Ethiopia]
231003
Amhara [Region: Ethiopia]
231004
Oromiya [Region: Ethiopia]
231005
Somali [Region: Ethiopia]
231006
Benishangul-Gumz [Region: Ethiopia]
231007
Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia]
231012
Gambela [Region: Ethiopia]
231013
Harari [Region: Ethiopia]
231014
Addis Ababa [Region: Ethiopia]
231015
Dire Dawa [Region: Ethiopia]
231017
Special region [Region: Ethiopia]
238094
Falkland Islands [Province: Argentina]
239094
South Georgia and South Sandwich Islands [Province: Argentina]
242001
Ba [Province: Fiji]
242003
Bua, Cakaudrove [Province: Fiji]
242006
Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji]
242007
Macuata [Province: Fiji]
242008
Nadroha [Province: Fiji]
242009
Naitasiri, Rewa [Province: Fiji]
242011
Ra [Province: Fiji]
242014
Serua, Namosi [Province: Fiji]
242015
Tailevu [Province: Fiji]
242099
Ships, unknown [Province: Fiji]
250001
Guadeloupe [Oversea Department, France]
250002
Martinique [Oversea Department, France]
250003
French Guyana [Oversea Department, France]
250004
Réunion Island [Oversea Department, France]
250011
ÃŽle-de-France [Region: France]
250021
Champagne-Ardenne [Region: France]
250022
Picardy [Region: France]
250023
Upper Normandy [Region: France]
250024
Centre [Region: France]
250025
Lower Normandy [Region: France]
250026
Burgundy [Region: France]
250031
North Pas-de-Calais [Region: France]
250041
Lorraine [Region: France]
250042
Alsace [Region: France]
250043
Franche-Comté [Region: France]
250052
Loire Valley [Region: France]
250053
Brittany [Region: France]
250054
Poitou-Charentes [Region: France]
250072
Aquitaine [Region: France]
250073
Midi-Pyrénées [Region: France]
250074
Limousin [Region: France]
250082
Rhône-Alpes [Region: France]
250083
Auvergne [Region: France]
250091
Languedoc-Roussillon [Region: France]
250093
Provence-Alpes-Riviera [Region: France]
250094
Corsica [Region: France]
250999
Unknown [Region: France]
275001
Jenin [Governorate: Palestine]
275005
Tubas [Governorate: Palestine]
275010
Tulkarm [Governorate: Palestine]
275015
Nablus [Governorate: Palestine]
275020
Qalqiliya [Governorate: Palestine]
275025
Salfit [Governorate: Palestine]
275030
Ramallah and Al-Bireh [Governorate: Palestine]
275035
Jericho [Governorate: Palestine]
275040
Jerusalem [Governorate: Palestine]
275045
Bethlehem [Governorate: Palestine]
275050
Hebron [Governorate: Palestine]
275055
North Gaza [Governorate: Palestine]
275060
Gaza [Governorate: Palestine]
275065
Deir Al-Balah [Governorate: Palestine]
275070
Khan Yunis [Governorate: Palestine]
275075
Rafah [Governorate: Palestine]
276001
Schleswig-Holstein [State: Germany]
276002
Hamburg [State: Germany]
276003
Niedersachsen [State: Germany]
276004
Bremen [State: Germany]
276005
Nordrhein-Westfalen [State: Germany]
276006
Hessen [State: Germany]
276007
Rheinland-Pfalz [State: Germany]
276008
Baden-Württemberg [State: Germany]
276009
Bayern [State: Germany]
276010
Saarland [State: Germany]
276012
Brandenburg [State: Germany]
276013
Mecklenburg-West Pomerania [State: Germany]
276014
Saxony [State: Germany]
276015
Saxony-Anhalt [State: Germany]
276016
Thuringia [State: Germany]
276017
East Berlin [State: Germany]
276018
West Berlin [State: Germany]
276099
NIU (Not in universe) [State: Germany]
288001
Western [Region: Ghana]
288002
Central [Region: Ghana]
288003
Greater Accra [Region: Ghana]
288004
Volta [Region: Ghana]
288005
Eastern [Region: Ghana]
288006
Ashanti [Region: Ghana]
288007
Brong Ahafo [Region: Ghana]
288008
Northern [Region: Ghana]
288009
Upper East [Region: Ghana]
288010
Upper West [Region: Ghana]
300001
Etolia and Akarnania [Department: Greece]
300003
Viotia [Department: Greece]
300004
Evia [Department: Greece]
300005
Evrytania [Department: Greece]
300006
Fthiotida [Department: Greece]
300007
Fokida [Department: Greece]
300011
Argolida [Department: Greece]
300012
Arkadia [Department: Greece]
300013
Achaia [Department: Greece]
300014
Ilia [Department: Greece]
300015
Korinthia [Department: Greece]
300016
Lakonia [Department: Greece]
300017
Messinia [Department: Greece]
300021
Zakynthos [Department: Greece]
300022
Kerkyra [Department: Greece]
300023
Kefallinia [Department: Greece]
300024
Lefkada [Department: Greece]
300031
Arta [Department: Greece]
300032
Thesprotia [Department: Greece]
300033
Ioannina [Department: Greece]
300034
Preveza [Department: Greece]
300041
Karditsa [Department: Greece]
300042
Larissa [Department: Greece]
300043
Magnissia [Department: Greece]
300044
Trikala [Department: Greece]
300051
Grevena [Department: Greece]
300052
Drama [Department: Greece]
300053
Imathia [Department: Greece]
300054
Thessaloniki [Department: Greece]
300055
Kavala [Department: Greece]
300056
Kastoria [Department: Greece]
300057
Kilkis [Department: Greece]
300058
Kozani [Department: Greece]
300059
Pella [Department: Greece]
300061
Pieria [Department: Greece]
300062
Serres [Department: Greece]
300063
Florina [Department: Greece]
300064
Chalkidiki and Aghion Oros [Department: Greece]
300071
Evros [Department: Greece]
300072
Xanthi [Department: Greece]
300073
Rodopi [Department: Greece]
300081
Dodekanissos [Department: Greece]
300082
Kyklades [Department: Greece]
300083
Lesvos [Department: Greece]
300084
Samos [Department: Greece]
300085
Chios [Department: Greece]
300091
Iraklio [Department: Greece]
300092
Lassithi [Department: Greece]
300093
Rethymno [Department: Greece]
300094
Chania [Department: Greece]
300101
Prefecture of Athens [Department: Greece]
300102
Prefecture of East Attiki [Department: Greece]
300103
Prefecture of West Attiki [Department: Greece]
300104
Prefecture of Pireas [Department: Greece]
324001
Boké [Region: Guinea]
324002
Faranah [Region: Guinea]
324003
Kankan [Region: Guinea]
324004
Kindia, Labe, Mamou [Region: Guinea]
324007
N'zerekore [Region: Guinea]
324008
Conakry [Region: Guinea]
332003
Nord (North) and Nord'est (North East) [Department: Haiti]
332006
Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]
332007
Grand'Anse, Nippes, Sud (South) [Department: Haiti]
332009
Nord'Ouest (North West) [Department: Haiti]
356001
Jammu and Kashmir [State: India]
356002
Himachal Pradesh [State: India]
356003
Punjab [State: India]
356004
Chandigarh [State: India]
356006
Haryana [State: India]
356007
Delhi [State: India]
356008
Rajasthan [State: India]
356009
Uttar Pradesh and Uttaranchal [State: India]
356010
Bihar and Jharkhand [State: India]
356011
Sikkim [State: India]
356012
Arunachal Pradesh [State: India]
356013
Nagaland [State: India]
356014
Manipur [State: India]
356015
Mizoram [State: India]
356016
Tripura [State: India]
356017
Meghalaya [State: India]
356018
Assam [State: India]
356019
West Bengal [State: India]
356021
Orissa [State: India]
356023
Chhattisgarh and Madhya Pradesh [State: India]
356024
Gujarat [State: India]
356026
Dadra and Nagar Haveli [State: India]
356027
Maharashtra [State: India]
356028
Andhra Pradesh [State: India]
356029
Karnataka [State: India]
356030
Daman and Diu and Goa [State: India]
356031
Lakshadweep [State: India]
356032
Kerala [State: India]
356033
Tamil Nadu [State: India]
356034
Pondicherry [State: India]
356035
Andaman and Nicobar Islands [State: India]
360011
Nanggroe Aceh Darussalam [Province: Indonesia]
360012
Sumatera Utara [Province: Indonesia]
360013
Sumatera Barat [Province: Indonesia]
360014
Riau and Kepulauan Riau [Province: Indonesia]
360015
Jambi [Province: Indonesia]
360016
Sumatera Selatan and Bangka Belitung [Province: Indonesia]
360017
Bengkulu [Province: Indonesia]
360018
Lampung [Province: Indonesia]
360031
DKI Jakarta [Province: Indonesia]
360032
West Java and Banten [Province: Indonesia]
360033
Jawa Tengah [Province: Indonesia]
360034
DI Yogyakarta [Province: Indonesia]
360035
Jawa Timur [Province: Indonesia]
360051
Bali [Province: Indonesia]
360052
Nusa Tenggara Barat [Province: Indonesia]
360053
East Nusa Tenggara [Province: Indonesia]
360061
Kalimantan Barat [Province: Indonesia]
360062
Kalimantan Tengah [Province: Indonesia]
360063
Kalimantan Selatan [Province: Indonesia]
360064
Kalimantan Timur [Province: Indonesia]
360071
Sulawesi Utara and Gorontalo [Province: Indonesia]
360072
Sulawesi Tengah [Province: Indonesia]
360073
Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia]
360081
Maluku and Maluku Utara [Province: Indonesia]
360094
Papua and Papua Barat [Province: Indonesia]
364000
Markazi [Province: Iran]
364001
Gilan [Province: Iran]
364002
Mazandaran [Province: Iran]
364003
East Azarbayejan [Province: Iran]
364004
West Azarbayejan [Province: Iran]
364005
Kermanshah [Province: Iran]
364006
Khuzestan [Province: Iran]
364007
Fars [Province: Iran]
364008
Kerman [Province: Iran]
364009
Khorasan-e- Razavi [Province: Iran]
364010
Esfahan [Province: Iran]
364011
Sistan and Baluchestan [Province: Iran]
364012
Kordestan [Province: Iran]
364013
Hamedan [Province: Iran]
364014
Chaharmahal and Bakhtiyari [Province: Iran]
364015
Lorestan [Province: Iran]
364016
Ilam [Province: Iran]
364017
Kohgiluyeh and Boyerahmad [Province: Iran]
364018
Bushehr [Province: Iran]
364019
Zanjan [Province: Iran]
364020
Semnan [Province: Iran]
364021
Yazd [Province: Iran]
364022
Hormozgan [Province: Iran]
364023
Tehran [Province: Iran]
364024
Ardebil [Province: Iran]
364025
Qom [Province: Iran]
364026
Qazvin [Province: Iran]
364027
Golestan [Province: Iran]
364028
North Khorasan [Province: Iran]
364029
South Khorasan [Province: Iran]
368011
Dhok [Governorate: Iraq]
368012
Nineveh [Governorate: Iraq]
368013
Al-Sulaimaniya [Governorate: Iraq]
368014
Al-Tameem [Governorate: Iraq]
368015
Arbil [Governorate: Iraq]
368021
Diala [Governorate: Iraq]
368022
Al-Anbar [Governorate: Iraq]
368023
Baghdad [Governorate: Iraq]
368024
Babylon [Governorate: Iraq]
368025
Kerbela [Governorate: Iraq]
368026
Wasit [Governorate: Iraq]
368027
Salah Al-Deen [Governorate: Iraq]
368028
Al-Najaf [Governorate: Iraq]
368031
Al-Qadisiya [Governorate: Iraq]
368032
Al-Muthanna [Governorate: Iraq]
368033
Thi-Qar [Governorate: Iraq]
368034
Maysan [Governorate: Iraq]
368035
Al-Basrah [Governorate: Iraq]
372001
Border [Region: Ireland]
372002
Dublin [Region: Ireland]
372003
Mid-East [Region: Ireland]
372004
Midlands [Region: Ireland]
372005
Mid-West [Region: Ireland]
372006
South-East [Region: Ireland]
372007
South-West [Region: Ireland]
372008
West [Region: Ireland]
376001
Jerusalem [District: Israel]
376002
Northern [District: Israel]
376003
Haifa [District: Israel]
376004
Central [District: Israel]
376005
Tel-Aviv [District: Israel]
376006
Southern [District: Israel]
376009
Judea, Samaria, and Gaza areas [District: Israel]
380001
Piemonte-Valle d'Aosta [Region: Italy]
380003
Lombardia [Region: Italy]
380004
Trentino-Alto Adige [Region: Italy]
380005
Veneto [Region: Italy]
380006
Friuli-Venezia Giulia [Region: Italy]
380007
Liguria [Region: Italy]
380008
Emilia-Romagna [Region: Italy]
380009
Toscana [Region: Italy]
380010
Umbria [Region: Italy]
380011
Marche [Region: Italy]
380012
Lazio [Region: Italy]
380013
Abruzzo [Region: Italy]
380014
Molise [Region: Italy]
380015
Campania [Region: Italy]
380016
Puglia [Region: Italy]
380017
Basilicata [Region: Italy]
380018
Calabria [Region: Italy]
380019
Sicilia [Region: Italy]
380020
Sardegna [Region: Italy]
388001
Kingston [Parish: Jamaica]
388002
Saint Andrew [Parish: Jamaica]
388003
Saint Thomas [Parish: Jamaica]
388004
Portland [Parish: Jamaica]
388005
Saint Mary [Parish: Jamaica]
388006
Saint Ann [Parish: Jamaica]
388007
Trelawny [Parish: Jamaica]
388008
Saint James [Parish: Jamaica]
388009
Hanover [Parish: Jamaica]
388010
Westmoreland [Parish: Jamaica]
388011
Saint Elizabeth [Parish: Jamaica]
388012
Manchester [Parish: Jamaica]
388013
Clarendon [Parish: Jamaica]
388014
Saint Catherine [Parish: Jamaica]
400011
Amman [Governorate: Jordan]
400012
Balqa [Governorate: Jordan]
400013
Zarqa [Governorate: Jordan]
400014
Madaba [Governorate: Jordan]
400021
Irbid [Governorate: Jordan]
400022
Mafraq [Governorate: Jordan]
400023
Jarash [Governorate: Jordan]
400024
Ajlun [Governorate: Jordan]
400031
Karak [Governorate: Jordan]
400032
Tafilah [Governorate: Jordan]
400033
Ma'an [Governorate: Jordan]
400034
Aqaba [Governorate: Jordan]
404001
Nairobi [Province: Kenya]
404002
Central Province [Province: Kenya]
404003
Coast Province [Province: Kenya]
404004
Eastern Province [Province: Kenya]
404005
North-Eastern Province [Province: Kenya]
404006
Nyanza Province [Province: Kenya]
404007
Rift Valley Province [Province: Kenya]
404008
Western Province [Province: Kenya]
417001
Gorkenesh Bishkek [Region: Kyrgyz Republic]
417002
Issyk-Kul [Region: Kyrgyz Republic]
417003
Dzhalal-Abad [Region: Kyrgyz Republic]
417004
Naryn [Region: Kyrgyz Republic]
417005
Batken [Region: Kyrgyz Republic]
417006
Oshskaya [Region: Kyrgyz Republic]
417007
Talasskaya [Region: Kyrgyz Republic]
417008
Chuya [Region: Kyrgyz Republic]
430006
Bong [County: Liberia]
430009
Grand Bassa and Rivercess [County: Liberia]
430012
Grand Cape Mount [County: Liberia]
430015
Grand Gedeh and River Gee [County: Liberia]
430021
Lofa and Gbarpolu [County: Liberia]
430027
Maryland and Grand Kru [County: Liberia]
430030
Montserrado, Bomi, and Margibi [County: Liberia]
430033
Nimba [County: Liberia]
430039
Sinoe [County: Liberia]
454101
Chitipa [District: Malawi]
454102
Karonga [District: Malawi]
454103
Nkhata Bay, Likoma [District: Malawi]
454104
Rumphi [District: Malawi]
454105
Mzimba, Mzuzu city [District: Malawi]
454201
Kasungu [District: Malawi]
454202
Nkhota Kota [District: Malawi]
454203
Ntchisi [District: Malawi]
454204
Dowa [District: Malawi]
454205
Salima [District: Malawi]
454206
Lilongwe [District: Malawi]
454207
Mchinji [District: Malawi]
454208
Dedza [District: Malawi]
454209
Ntcheu [District: Malawi]
454301
Mangochi [District: Malawi]
454302
Machinga [District: Malawi]
454303
Zomba [District: Malawi]
454304
Chiradzulu [District: Malawi]
454305
Blantyre [District: Malawi]
454307
Thyolo [District: Malawi]
454308
Mulanje [District: Malawi]
454310
Chikwawa [District: Malawi]
454311
Nsanje [District: Malawi]
454313
Mwanza, Neno [District: Malawi]
458001
Johor [State: Malaysia]
458002
Kedah [State: Malaysia]
458003
Kelantan [State: Malaysia]
458004
Melaka [State: Malaysia]
458005
Negeri Sembilan [State: Malaysia]
458006
Pahang [State: Malaysia]
458007
Pulau Pinang [State: Malaysia]
458008
Perak [State: Malaysia]
458009
Perlis [State: Malaysia]
458010
Selangor and Kuala Lumpur Federal Territory [State: Malaysia]
458011
Terengganu [State: Malaysia]
458012
Sabah and Labuan Federal Territory [State: Malaysia]
458013
Sarawak [State: Malaysia]
466001
Kayes [Region: Mali]
466002
Koulikoro [Region: Mali]
466003
Sikasso [Region: Mali]
466004
Ségou [Region: Mali]
466005
Mopti [Region: Mali]
466006
Tombouctou [Region: Mali]
466007
Gao and Kidal [Region: Mali]
466009
Bamako [Region: Mali]
466099
Unknown [Region: Mali]
484001
Aguascalientes [State: Meico]
484002
Baja California [State: Meico]
484003
Baja California Sur [State: Meico]
484004
Campeche [State: Meico]
484005
Coahuila [State: Meico]
484006
Colima [State: Meico]
484007
Chiapas [State: Meico]
484008
Chihuahua [State: Meico]
484009
Distrito Federal [State: Meico]
484010
Durango [State: Meico]
484011
Guanajuato [State: Meico]
484012
Guerrero [State: Meico]
484013
Hidalgo [State: Meico]
484014
Jalisco [State: Meico]
484015
México [State: Meico]
484016
Michoacán [State: Meico]
484017
Morelos [State: Meico]
484018
Nayarit [State: Meico]
484019
Nuevo León [State: Meico]
484020
Oaxaca [State: Meico]
484021
Puebla [State: Meico]
484022
Querétaro [State: Meico]
484023
Quintana Roo [State: Meico]
484024
San Luis Potosà [State: Meico]
484025
Sinaloa [State: Meico]
484026
Sonora [State: Meico]
484027
Tabasco [State: Meico]
484028
Tamaulipas [State: Meico]
484029
Tlaxcala [State: Meico]
484030
Veracruz [State: Meico]
484031
Yucatán [State: Meico]
484032
Zacatecas [State: Meico]
496001
Arkhangai [Province: Mongolia]
496002
Bayan-Ölgii [Province: Mongolia]
496003
Bayankhongor [Province: Mongolia]
496004
Bulgan [Province: Mongolia]
496005
Govi-Altai [Province: Mongolia]
496006
Dornogovi [Province: Mongolia]
496007
Dornod [Province: Mongolia]
496008
Dundgovi and Govisumber [Province: Mongolia]
496009
Zavkhan [Province: Mongolia]
496010
Övörkhangai [Province: Mongolia]
496011
Ömnögovi [Province: Mongolia]
496012
Sükhbaatar [Province: Mongolia]
496013
Selenge [Province: Mongolia]
496014
Töv [Province: Mongolia]
496015
Uvs [Province: Mongolia]
496016
Khovd [Province: Mongolia]
496017
Khövsgöl [Province: Mongolia]
496018
Khentii [Province: Mongolia]
496019
Darkhan-Uul [Province: Mongolia]
496020
Ulaanbaatar [Province: Mongolia]
496021
Orkhon [Province: Mongolia]
504001
Oued-Ed-Dahab-Lagouira [Region: Morocco]
504002
Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco]
504003
Guelmin-Es-Samara [Region: Morocco]
504004
Souss-Massa-Draâ [Region: Morocco]
504005
Charb-Chrarda-Béni Hssen [Region: Morocco]
504006
Chaouia-Ouardigha [Region: Morocco]
504007
Marrakech-Tensift-Al Haouz [Region: Morocco]
504008
Oriental [Region: Morocco]
504009
Grand-Casablanca [Region: Morocco]
504010
Rabat-Salé-Zemmour-Zaer [Region: Morocco]
504011
Doukala Abda [Region: Morocco]
504012
Tadla Azilal [Region: Morocco]
504013
Meknès-Tafilalet [Region: Morocco]
504014
Fès-Boulemane [Region: Morocco]
504015
Taza-Al Heiceima-Taounate [Region: Morocco]
504016
Tanger-Tétouan [Region: Morocco]
508001
Niassa [Province: Mozambique]
508002
Cabo Delgado [Province: Mozambique]
508003
Nampula [Province: Mozambique]
508004
Zambézia [Province: Mozambique]
508005
Tete [Province: Mozambique]
508006
Manica [Province: Mozambique]
508007
Sofala [Province: Mozambique]
508008
Inhambane [Province: Mozambique]
508009
Gaza [Province: Mozambique]
508010
Maputo province [Province: Mozambique]
508011
Maputo city [Province: Mozambique]
524001
Mechi [Administrative zone: Nepal]
524002
Koshi [Administrative zone: Nepal]
524003
Sagarmatha [Administrative zone: Nepal]
524004
Janakpur [Administrative zone: Nepal]
524005
Bagmati [Administrative zone: Nepal]
524006
Narayani [Administrative zone: Nepal]
524007
Gandaki [Administrative zone: Nepal]
524008
Dhawalagiri [Administrative zone: Nepal]
524009
Lumbini [Administrative zone: Nepal]
524010
Rapti [Administrative zone: Nepal]
524011
Bheri [Administrative zone: Nepal]
524012
Karnali [Administrative zone: Nepal]
524013
Seti [Administrative zone: Nepal]
524014
Mahakali [Administrative zone: Nepal]
558005
Nueva Segovia [Department: Nicaragua]
558010
Jinotega [Department: Nicaragua]
558020
MadrÃz [Department: Nicaragua]
558030
Chinandega [Department: Nicaragua]
558035
Leon and Esteli [Department: Nicaragua]
558040
Matagalpa [Department: Nicaragua]
558050
Boaco [Department: Nicaragua]
558055
Managua [Department: Nicaragua]
558060
Masaya [Department: Nicaragua]
558065
Chontales [Department: Nicaragua]
558070
Granada [Department: Nicaragua]
558075
Carazo [Department: Nicaragua]
558080
Rivas [Department: Nicaragua]
558085
RÃo San Juan [Department: Nicaragua]
558093
Atlántico Norte and Atlántico Sur [Department: Nicaragua]
558099
Unknown [Department: Nicaragua]
566001
Abia [State: Nigeria]
566002
Adamawa [State: Nigeria]
566003
Akwa Ibom [State: Nigeria]
566004
Anambra [State: Nigeria]
566005
Bauchi [State: Nigeria]
566006
Bayelsa [State: Nigeria]
566007
Benue [State: Nigeria]
566008
Borno [State: Nigeria]
566009
Cross River [State: Nigeria]
566010
Delta [State: Nigeria]
566011
Ebonyi [State: Nigeria]
566012
Edo [State: Nigeria]
566013
Ekiti [State: Nigeria]
566014
Enugu [State: Nigeria]
566015
Gombe [State: Nigeria]
566016
Imo [State: Nigeria]
566017
Jigawa [State: Nigeria]
566018
Kaduna [State: Nigeria]
566019
Kano [State: Nigeria]
566020
Katsina [State: Nigeria]
566021
Kebbi [State: Nigeria]
566022
Kogi [State: Nigeria]
566023
Kwara [State: Nigeria]
566024
Lagos [State: Nigeria]
566025
Nasarawa [State: Nigeria]
566026
Niger [State: Nigeria]
566027
Ogun [State: Nigeria]
566028
Ondo [State: Nigeria]
566029
Osun [State: Nigeria]
566030
Oyo [State: Nigeria]
566031
Plateau [State: Nigeria]
566032
Rivers [State: Nigeria]
566033
Sokoto [State: Nigeria]
566034
Taraba [State: Nigeria]
566035
Yobe [State: Nigeria]
566036
Zamfara [State: Nigeria]
566037
Federal Capital Territory Abuja [State: Nigeria]
566099
Unknown [State: Nigeria]
586001
North-West Frontier Province [Province: Pakistan]
586002
Fata [Province: Pakistan]
586003
Punjab, Islamabad [Province: Pakistan]
586004
Sind [Province: Pakistan]
586005
Baluchistan [Province: Pakistan]
586007
Northern areas [Province: Pakistan]
586008
Kashmir [Province: Pakistan]
591002
Coclé [Province: Panama]
591003
Colón, Comarca Kuna Yala (San Blas) [Province: Panama]
591004
Bocas de Toro, ChiriquÃ, Comarca Ngäbe Buglé, Veraguas [Province: Panama]
591005
Comarca Emberá, Darién [Province: Panama]
591006
Herrera [Province: Panama]
591007
Los Santos [Province: Panama]
591008
Panamá [Province: Panama]
600000
Asunción [Department: Paraguay]
600001
Concepción [Department: Paraguay]
600002
San Pedro [Department: Paraguay]
600007
Itapúa [Department: Paraguay]
600008
Misiones and Ñeembucú [Department: Paraguay]
600009
Guairá, Caazapá, and Paraguarà [Department: Paraguay]
600010
Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay]
600011
Central [Department: Paraguay]
600013
Amambay [Department: Paraguay]
600015
Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay]
600099
Unknown [Department: Paraguay]
604001
Amazonas [Region: Peru]
604002
Ancash [Region: Peru]
604003
ApurÃmac [Region: Peru]
604004
Arequipa [Region: Peru]
604005
Ayacucho [Region: Peru]
604006
Cajamarca [Region: Peru]
604007
Callao [Region: Peru]
604008
Cusco [Region: Peru]
604009
Huancavelica [Region: Peru]
604010
Huánuco [Region: Peru]
604011
Ica [Region: Peru]
604012
JunÃn [Region: Peru]
604013
La Libertad [Region: Peru]
604014
Lambayeque [Region: Peru]
604015
Lima [Region: Peru]
604016
Loreto [Region: Peru]
604017
Madre de Dios [Region: Peru]
604018
Moquegua [Region: Peru]
604019
Pasco [Region: Peru]
604020
Piura [Region: Peru]
604021
Puno [Region: Peru]
604022
San MartÃn [Region: Peru]
604023
Tacna [Region: Peru]
604024
Tumbes [Region: Peru]
604025
Ucayali [Region: Peru]
608001
Ilocos [Region: Philippines]
608002
Cagayan Valley [Region: Philippines]
608003
Central Luzon [Region: Philippines]
608004
Southern Tagalog [Region: Philippines]
608005
Bicol [Region: Philippines]
608006
Western Visayas [Region: Philippines]
608007
Central Visayas [Region: Philippines]
608008
Eastern Visayas [Region: Philippines]
608009
Western Mindanao [Region: Philippines]
608011
Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines]
608012
Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines]
608013
National Capital Region [Region: Philippines]
608014
Cordillera Administrative Region [Region: Philippines]
620111
Minho-Lima [Subregion: Portugal]
620112
Cávado [Subregion: Portugal]
620113
Ave [Subregion: Portugal]
620114
Grande Porto [Subregion: Portugal]
620115
Tâmega [Subregion: Portugal]
620116
Entre Douro e Vouga [Subregion: Portugal]
620117
Douro [Subregion: Portugal]
620118
Alto Trás-os-Montes [Subregion: Portugal]
620150
Algarve [Subregion: Portugal]
620161
Baixo Vouga [Subregion: Portugal]
620162
Baixo Mondego [Subregion: Portugal]
620163
Pinhal Litoral [Subregion: Portugal]
620165
Dão-Lafões [Subregion: Portugal]
620166
Oeste [Subregion: Portugal]
620167
Médio Tejo [Subregion: Portugal]
620169
Other Center [Subregion: Portugal]
620171
Grande Lisboa [Subregion: Portugal]
620172
PenÃnsula de Setúbal [Subregion: Portugal]
620185
LezÃria do Tejo [Subregion: Portugal]
620189
Other Alentejo [Subregion: Portugal]
620200
Região Autónoma dos Açores [Subregion: Portugal]
620300
Região Autónoma da Madeira [Subregion: Portugal]
630101
G7201001 [PUMA: Puerto Rico]
630104
G7201002, G7201003, G7201004 [PUMA: Puerto Rico]
630110
G7201100 [PUMA: Puerto Rico]
630180
G7201800 [PUMA: Puerto Rico]
630200
G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico]
630250
G7202500 [PUMA: Puerto Rico]
642001
Alba [County: Romania]
642002
Arad [County: Romania]
642003
Arges [County: Romania]
642004
Bacau [County: Romania]
642005
Bihor [County: Romania]
642006
Bistrita Nasaud [County: Romania]
642007
Botosani [County: Romania]
642008
Brasov [County: Romania]
642009
Braila [County: Romania]
642010
Buzau [County: Romania]
642011
Caras Severin [County: Romania]
642012
Cluj [County: Romania]
642013
Constanta [County: Romania]
642014
Covasna [County: Romania]
642015
Dimbovita [County: Romania]
642016
Dolj [County: Romania]
642017
Galati [County: Romania]
642018
Gorj [County: Romania]
642019
Harghita [County: Romania]
642020
Hunedoara [County: Romania]
642022
Iasi [County: Romania]
642024
Maramures [County: Romania]
642025
Mehedinti [County: Romania]
642026
Mures [County: Romania]
642027
Neamt [County: Romania]
642028
Olt [County: Romania]
642029
Prahova [County: Romania]
642030
Satu Mare [County: Romania]
642031
Salaj [County: Romania]
642032
Sibiu [County: Romania]
642033
Suceava [County: Romania]
642034
Teleorman [County: Romania]
642035
Timis [County: Romania]
642036
Tulcea [County: Romania]
642037
Vaslui [County: Romania]
642038
Valcea [County: Romania]
642039
Vrancea [County: Romania]
642043
Bucharest Sector 1 to 6 [County: Romania]
642051
Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]
646001
Kigali City [Province: Rwanda]
646002
Kigali Ngali [Province: Rwanda]
646004
Gitarama [Province: Rwanda]
646005
Butare [Province: Rwanda]
646006
Gikongoro [Province: Rwanda]
646007
Cyangugu [Province: Rwanda]
646008
Kibuye [Province: Rwanda]
646009
Gisenyi [Province: Rwanda]
646010
Ruhengeri [Province: Rwanda]
646012
Byumba, Kibungo and Umutara [Province: Rwanda]
686001
Dakar [Region: Senegal]
686002
Diourbel [Region: Senegal]
686003
Fatick [Region: Senegal]
686004
Kaolack [Region: Senegal]
686005
Kolda [Region: Senegal]
686008
Louga, Saint Louis, Matam [Region: Senegal]
686009
Tambacounda [Region: Senegal]
686010
Thiès [Region: Senegal]
686011
Ziguinchor [Region: Senegal]
694011
Kailahun [District: Sierra Leone]
694012
Kenema [District: Sierra Leone]
694013
Kono [District: Sierra Leone]
694021
Bombali [District: Sierra Leone]
694022
Kambia [District: Sierra Leone]
694023
Koinadugu [District: Sierra Leone]
694024
Port Loko [District: Sierra Leone]
694025
Tonkolili [District: Sierra Leone]
694031
Bo [District: Sierra Leone]
694032
Bonthe [District: Sierra Leone]
694033
Moyamba [District: Sierra Leone]
694034
Pujehun [District: Sierra Leone]
694041
Western - rural [District: Sierra Leone]
694042
Western - urban [District: Sierra Leone]
704001
Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam]
704002
Ha Giang and Tuyen Quang [Province: Vietnam]
704004
Cao Bang [Province: Vietnam]
704014
Son La [Province: Vietnam]
704015
Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam]
704019
Bac Kan and Thai Nguyen [Province: Vietnam]
704020
Lang Son [Province: Vietnam]
704022
Quang Ninh [Province: Vietnam]
704024
Bac Giang, and Bac Ninh [Province: Vietnam]
704030
Hai Duong and Hung Yen [Province: Vietnam]
704031
Hai Phong [Province: Vietnam]
704034
Thai Binh [Province: Vietnam]
704038
Thanh Hoa [Province: Vietnam]
704040
Nghe An and Ha Tinh [Province: Vietnam]
704046
Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam]
704049
Da Nang and Quang Nam [Province: Vietnam]
704051
Binh Dinh and Quang Ngai [Province: Vietnam]
704054
Phu Yen and Khanh Hoa [Province: Vietnam]
704060
Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam]
704062
Gia Lai and Kon Tum [Province: Vietnam]
704066
Dak Lak and Dak Nong [Province: Vietnam]
704068
Lam Dong [Province: Vietnam]
704072
Tay Ninh [Province: Vietnam]
704074
Binh Duong and Binh Phuoc [Province: Vietnam]
704075
Dong Nai and Ba Ria - Vung Tau [Province: Vietnam]
704079
Ho Chi Minh City [Province: Vietnam]
704080
Long An [Province: Vietnam]
704082
Tien Giang [Province: Vietnam]
704083
Ben Tre [Province: Vietnam]
704086
Vinh Long and Tra Vinh [Province: Vietnam]
704087
Dong Thap [Province: Vietnam]
704089
An Giang [Province: Vietnam]
704091
Kien Giang [Province: Vietnam]
704094
Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam]
704096
Bac Lieu and Ca Mau [Province: Vietnam]
705001
Pomurska [Region: Slovenia]
705002
Podravska [Region: Slovenia]
705003
Koroška [Region: Slovenia]
705004
Savinjska [Region: Slovenia]
705005
Zasavska [Region: Slovenia]
705006
Spodnjeposavska [Region: Slovenia]
705007
Jugovzhodna Slovenija [Region: Slovenia]
705008
Osrednjeslovenska [Region: Slovenia]
705009
Gorenjska [Region: Slovenia]
705010
Notranjsko-kraška [Region: Slovenia]
705011
Goriška [Region: Slovenia]
705012
Obalno-kraška [Region: Slovenia]
705099
Unknown [Region: Slovenia]
710001
Western Cape [Province: South Africa]
710004
Free State [Province: South Africa]
710005
Eastern Cape, KwaZulu-Natal [Province: South Africa]
710007
Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]
710999
Unknown [Province: South Africa]
724011
Galicia [Communities and Autonomous Cities: Spain]
724012
Principado de Asturias [Communities and Autonomous Cities: Spain]
724013
Cantabria [Communities and Autonomous Cities: Spain]
724021
PaÃs Vasco [Communities and Autonomous Cities: Spain]
724022
Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain]
724023
La Rioja [Communities and Autonomous Cities: Spain]
724024
Aragón [Communities and Autonomous Cities: Spain]
724030
Comunidad de Madrid [Communities and Autonomous Cities: Spain]
724041
Castilla y León [Communities and Autonomous Cities: Spain]
724042
Castilla-La Mancha [Communities and Autonomous Cities: Spain]
724043
Extremadura [Communities and Autonomous Cities: Spain]
724051
Cataluña [Communities and Autonomous Cities: Spain]
724052
Comunidad Valenciana [Communities and Autonomous Cities: Spain]
724053
Illes Balears [Communities and Autonomous Cities: Spain]
724061
AndalucÃa [Communities and Autonomous Cities: Spain]
724062
Región de Murcia [Communities and Autonomous Cities: Spain]
724063
Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain]
724064
Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain]
724070
Canarias [Communities and Autonomous Cities: Spain]
724099
Unknown [Communities and Autonomous Cities: Spain]
728071
Upper Nile [State: South Sudan]
728072
Jonglei [State: South Sudan]
728073
Unity [State: South Sudan]
728081
Warrap [State: South Sudan]
728082
Northern Bahr El Ghazal [State: South Sudan]
728083
Western Bahr El Ghazal [State: South Sudan]
728084
Lakes [State: South Sudan]
728091
Western Equatoria [State: South Sudan]
728092
Central Equatoria [State: South Sudan]
728093
Eastern Equatoria [State: South Sudan]
729011
Northern [State: Sudan]
729012
Nahr El Nil [State: Sudan]
729021
Red Sea [State: Sudan]
729022
Kassala [State: Sudan]
729023
Al Gedarif [State: Sudan]
729031
Khartoum [State: Sudan]
729041
Al Gezira [State: Sudan]
729042
White Nile [State: Sudan]
729043
Sinnar [State: Sudan]
729044
Blue Nile [State: Sudan]
729051
North Kordofan [State: Sudan]
729052
South Kordofan [State: Sudan]
729061
North Darfur [State: Sudan]
729062
West Darfur [State: Sudan]
729063
South Darfur [State: Sudan]
756001
Zurich [Canton: Switzerland]
756002
Bern [Canton: Switzerland]
756003
Luzern (Lucerne) [Canton: Switzerland]
756004
Uri [Canton: Switzerland]
756005
Schwyz [Canton: Switzerland]
756006
Obwalden (Obwald) [Canton: Switzerland]
756007
Nidwalden (Nidwald) [Canton: Switzerland]
756008
Glarus [Canton: Switzerland]
756009
Zug [Canton: Switzerland]
756010
Fribourg [Canton: Switzerland]
756011
Solothurn [Canton: Switzerland]
756012
Basel-Stadt (Basel-City) [Canton: Switzerland]
756013
Basel-Landschaft (Basel-Country) [Canton: Switzerland]
756014
Schaffhausen [Canton: Switzerland]
756015
Outer and Inner Rhodes [Canton: Switzerland]
756017
St. Gallen (St. Gall) [Canton: Switzerland]
756018
Graubundun (Grisons) [Canton: Switzerland]
756019
Aargau (Argovia) [Canton: Switzerland]
756020
Thurgau (Thurgovia) [Canton: Switzerland]
756021
Ticino [Canton: Switzerland]
756022
Vaud [Canton: Switzerland]
756023
Valais [Canton: Switzerland]
756024
Neuchatel [Canton: Switzerland]
756025
Geneva [Canton: Switzerland]
756026
Jura [Canton: Switzerland]
764010
Bangkok [Province: Thailand]
764011
Samut Prakan [Province: Thailand]
764012
Nonthaburi [Province: Thailand]
764013
Pathum Thani [Province: Thailand]
764014
Phra Nakhon si Ayutthaya [Province: Thailand]
764015
Ang Thong [Province: Thailand]
764016
Lop Buri [Province: Thailand]
764017
Sing Buri [Province: Thailand]
764018
Chai Nat [Province: Thailand]
764019
Prachin Buri and Sa Kaeo [Province: Thailand]
764020
Chon Buri [Province: Thailand]
764021
Rayong [Province: Thailand]
764022
Chanthaburi [Province: Thailand]
764023
Trat [Province: Thailand]
764024
Chachoengsao [Province: Thailand]
764026
Nakhon Nayok [Province: Thailand]
764027
Saraburi [Province: Thailand]
764030
Nakhon Ratchasima [Province: Thailand]
764031
Buri Ram [Province: Thailand]
764032
Surin [Province: Thailand]
764033
Si Sa Ket [Province: Thailand]
764034
Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand]
764036
Chaiyaphum [Province: Thailand]
764040
Khon Kaen [Province: Thailand]
764041
Udon Thani and Nong Bua Lam Phu [Province: Thailand]
764042
Loei [Province: Thailand]
764043
Nong Khai [Province: Thailand]
764044
Maha Sarakham [Province: Thailand]
764045
Roi Et [Province: Thailand]
764046
Kalasin [Province: Thailand]
764047
Sakon Nakhon [Province: Thailand]
764048
Nakhon Phanom and Mukdahan [Province: Thailand]
764050
Chiang Mai [Province: Thailand]
764051
Lamphun [Province: Thailand]
764052
Lampang [Province: Thailand]
764053
Uttaradit [Province: Thailand]
764054
Phrae [Province: Thailand]
764055
Nan [Province: Thailand]
764057
Chiang Rai and Phayao [Province: Thailand]
764058
Mae Hong Son [Province: Thailand]
764060
Nakhon Sawan [Province: Thailand]
764061
Uthai Thani [Province: Thailand]
764062
Kamphaeng Phet [Province: Thailand]
764063
Tak [Province: Thailand]
764064
Sukhothai [Province: Thailand]
764065
Phitsanulok [Province: Thailand]
764066
Phichit [Province: Thailand]
764067
Phetchabun [Province: Thailand]
764070
Ratchaburi [Province: Thailand]
764071
Kanchanaburi [Province: Thailand]
764072
Suphanburi [Province: Thailand]
764073
Nakhon Pathom [Province: Thailand]
764074
Samut Sakhon [Province: Thailand]
764075
Samut Songkhram [Province: Thailand]
764076
Phetchaburi [Province: Thailand]
764077
Prachuap Khiri Khan [Province: Thailand]
764080
Nakhon Si Thammarat [Province: Thailand]
764081
Krabi [Province: Thailand]
764082
Phangnga [Province: Thailand]
764083
Phuket [Province: Thailand]
764084
Surat Thani [Province: Thailand]
764085
Ranong [Province: Thailand]
764086
Chumphon [Province: Thailand]
764090
Songkhla [Province: Thailand]
764091
Satun [Province: Thailand]
764092
Trang [Province: Thailand]
764093
Phatthalung [Province: Thailand]
764094
Pattani [Province: Thailand]
764095
Yala [Province: Thailand]
764096
Narathiwat [Province: Thailand]
792001
Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey]
792002
Adiyaman [Province: Turkey]
792003
Afyon [Province: Turkey]
792004
Agri [Province: Turkey]
792005
Amasya [Province: Turkey]
792006
Ankara and Kirikkale [Province: Turkey]
792007
Antalya [Province: Turkey]
792008
Artvin [Province: Turkey]
792009
Aydin [Province: Turkey]
792010
Balikesir [Province: Turkey]
792011
Bilecik [Province: Turkey]
792012
Bingöl [Province: Turkey]
792013
Bitlis [Province: Turkey]
792014
Bolu and Düzce [Province: Turkey]
792015
Burdur [Province: Turkey]
792017
Çanakkale [Province: Turkey]
792019
Çorum [Province: Turkey]
792020
Denizli [Province: Turkey]
792021
Diyarbakir [Province: Turkey]
792022
Edirne [Province: Turkey]
792023
Elazig [Province: Turkey]
792024
Erzincan [Province: Turkey]
792025
Erzurum [Province: Turkey]
792026
Eskisehir [Province: Turkey]
792028
Giresun [Province: Turkey]
792029
Gümüshane and Bayburt [Province: Turkey]
792031
Hatay [Province: Turkey]
792032
Isparta [Province: Turkey]
792033
Mersin (içel) [Province: Turkey]
792034
Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey]
792035
Izmir [Province: Turkey]
792036
Kars, Ardahan and Igdir [Province: Turkey]
792037
Kastamonu [Province: Turkey]
792038
Kayseri [Province: Turkey]
792039
Kirklareli [Province: Turkey]
792040
Kirsehir [Province: Turkey]
792042
Konya and Karaman [Province: Turkey]
792043
Kütahya [Province: Turkey]
792044
Malatya [Province: Turkey]
792045
Manisa [Province: Turkey]
792046
Kahramanmaras [Province: Turkey]
792047
Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey]
792048
Mugla [Province: Turkey]
792049
Mus [Province: Turkey]
792050
Nevsehir [Province: Turkey]
792051
Nigde and Aksaray [Province: Turkey]
792052
Ordu [Province: Turkey]
792053
Rize [Province: Turkey]
792054
Sakarya [Province: Turkey]
792055
Samsun [Province: Turkey]
792057
Sinop [Province: Turkey]
792058
Sivas [Province: Turkey]
792059
Tekirdag [Province: Turkey]
792060
Tokat [Province: Turkey]
792061
Trabzon [Province: Turkey]
792062
Tunceli [Province: Turkey]
792063
Sanliurfa [Province: Turkey]
792064
Usak [Province: Turkey]
792065
Van [Province: Turkey]
792066
Yozgat [Province: Turkey]
792067
Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey]
800101
Kalangala [District: Uganda]
800102
Kampala [District: Uganda]
800103
Kiboga [District: Uganda]
800104
Luwero and Nakasongola [District: Uganda]
800105
Masaka and Sembabule [District: Uganda]
800107
Mubende [District: Uganda]
800108
Mukono and Kayunga [District: Uganda]
800110
Rakai [District: Uganda]
800113
Mpigi and Wakiso [District: Uganda]
800203
Iganga, Buguri, and Mayuge [District: Uganda]
800204
Jinja [District: Uganda]
800205
Kamuli [District: Uganda]
800206
Kapchorwa [District: Uganda]
800208
Kumi [District: Uganda]
800209
Mbale and Sironko [District: Uganda]
800210
Pallisa [District: Uganda]
800211
Soroti, Katakwi, and Kaberamaido [District: Uganda]
800212
Busia and Tororo [District: Uganda]
800301
Moyo and Adjumani [District: Uganda]
800302
Apac [District: Uganda]
800303
Arua and Yumbe [District: Uganda]
800304
Gulu [District: Uganda]
800306
Kotido [District: Uganda]
800307
Lira [District: Uganda]
800308
Moroto and Nakapiripirit [District: Uganda]
800310
Nebbi [District: Uganda]
800312
Kitgum and Pader [District: Uganda]
800401
Bundibugyo [District: Uganda]
800403
Hoima [District: Uganda]
800404
Kabale [District: Uganda]
800405
Kabarole, Kamwenge, and Kyenjojo [District: Uganda]
800406
Kasese [District: Uganda]
800407
Kibaale [District: Uganda]
800408
Kisoro [District: Uganda]
800409
Masindi [District: Uganda]
800410
Bushenyi, Mbarara, and Ntungamo [District: Uganda]
800412
Rukungiri and Kanungu [District: Uganda]
800999
Unknown [District: Uganda]
804001
The Autonomous Republic of Crimea [Region: Ukraine]
804005
Vinnytska oblast [Region: Ukraine]
804007
Volynska oblast [Region: Ukraine]
804012
Dnipropetrovska oblast [Region: Ukraine]
804014
Donetska oblast [Region: Ukraine]
804018
Zhytomyrska oblast [Region: Ukraine]
804021
Zakarpatska oblast [Region: Ukraine]
804023
Zaporizka oblast [Region: Ukraine]
804026
Ivano-Frankivska oblast [Region: Ukraine]
804032
Kyivska oblast [Region: Ukraine]
804035
Kirovohradska oblast [Region: Ukraine]
804044
Luhanska oblast [Region: Ukraine]
804046
Lvivska oblast [Region: Ukraine]
804048
Mykolaivska oblast [Region: Ukraine]
804051
Odeska oblast [Region: Ukraine]
804053
Poltavska oblast [Region: Ukraine]
804056
Rivnenska oblast [Region: Ukraine]
804059
Sumska oblast [Region: Ukraine]
804061
Ternopilska oblast [Region: Ukraine]
804063
Kharkivska oblast [Region: Ukraine]
804065
Khersonska oblast [Region: Ukraine]
804068
Khmelnytska oblast [Region: Ukraine]
804071
Cherkaska oblast [Region: Ukraine]
804073
Chernivetska oblast [Region: Ukraine]
804074
Chernihivska oblast [Region: Ukraine]
804080
Kyiv [Region: Ukraine]
804085
Sevastopol [Region: Ukraine]
818001
Cairo [Governorate: Egypt]
818002
Alexandria [Governorate: Egypt]
818003
Port Said [Governorate: Egypt]
818004
Suez [Governorate: Egypt]
818011
Damietta [Governorate: Egypt]
818012
Dakahlia [Governorate: Egypt]
818013
Sharkia [Governorate: Egypt]
818014
Kaliobia [Governorate: Egypt]
818015
Kafr Sheikh [Governorate: Egypt]
818016
Gharbia [Governorate: Egypt]
818017
Menoufia [Governorate: Egypt]
818018
Behera [Governorate: Egypt]
818019
Ismailia [Governorate: Egypt]
818021
Giza [Governorate: Egypt]
818022
Bani Swif [Governorate: Egypt]
818023
Fayoum [Governorate: Egypt]
818024
Menia [Governorate: Egypt]
818025
Asiut [Governorate: Egypt]
818026
Sohag [Governorate: Egypt]
818027
Qena [Governorate: Egypt]
818028
Aswan [Governorate: Egypt]
818029
Luxor [Governorate: Egypt]
818031
Red Sea [Governorate: Egypt]
818032
New Valley [Governorate: Egypt]
818033
Marsa Matroh [Governorate: Egypt]
818034
North Sinai [Governorate: Egypt]
818035
South Sinai [Governorate: Egypt]
826011
North East [Region: United Kingdom]
826013
North West [Region: United Kingdom]
826014
Yorkshire and the Humber [Region: United Kingdom]
826021
East Midlands [Region: United Kingdom]
826022
West Midlands [Region: United Kingdom]
826031
East of England [Region: United Kingdom]
826032
South East and London [Region: United Kingdom]
826040
South West [Region: United Kingdom]
826060
Scotland [Region: United Kingdom]
826070
Wales [Region: United Kingdom]
826080
Northern Ireland [Region: United Kingdom]
834001
Dodoma [Region: Tanzania]
834003
Kilimanjaro [Region: Tanzania]
834004
Tanga [Region: Tanzania]
834005
Morogoro [Region: Tanzania]
834006
Pwani [Region: Tanzania]
834007
Dar es Salaam [Region: Tanzania]
834008
Lindi [Region: Tanzania]
834009
Mtwara [Region: Tanzania]
834010
Ruvumba [Region: Tanzania]
834011
Iringa [Region: Tanzania]
834012
Mbeya [Region: Tanzania]
834013
Singida [Region: Tanzania]
834014
Tabora [Region: Tanzania]
834015
Rukwa [Region: Tanzania]
834016
Kigoma [Region: Tanzania]
834017
Shinyanga [Region: Tanzania]
834018
Kagera [Region: Tanzania]
834019
Mwanza [Region: Tanzania]
834020
Mara [Region: Tanzania]
834021
Arusha and Manyara [Region: Tanzania]
834051
Zanzibar North [Region: Tanzania]
834052
Zanzibar South [Region: Tanzania]
834053
Zanzibar Town/West [Region: Tanzania]
834054
Pemba North [Region: Tanzania]
834055
Pemba South [Region: Tanzania]
840001
Alabama [State: U.S.]
840002
Alaska [State: U.S.]
840004
Arizona [State: U.S.]
840005
Arkansas [State: U.S.]
840006
California [State: U.S.]
840008
Colorado [State: U.S.]
840009
Connecticut [State: U.S.]
840010
Delaware [State: U.S.]
840011
District of Columbia [State: U.S.]
840012
Florida [State: U.S.]
840013
Georgia [State: U.S.]
840015
Hawaii [State: U.S.]
840016
Idaho [State: U.S.]
840017
Illinois [State: U.S.]
840018
Indiana [State: U.S.]
840019
Iowa [State: U.S.]
840020
Kansas [State: U.S.]
840021
Kentucky [State: U.S.]
840022
Louisiana [State: U.S.]
840023
Maine [State: U.S.]
840024
Maryland [State: U.S.]
840025
Massachusetts [State: U.S.]
840026
Michigan [State: U.S.]
840027
Minnesota [State: U.S.]
840028
Mississippi [State: U.S.]
840029
Missouri [State: U.S.]
840030
Montana [State: U.S.]
840031
Nebraska [State: U.S.]
840032
Nevada [State: U.S.]
840033
New Hampshire [State: U.S.]
840034
New Jersey [State: U.S.]
840035
New Mexico [State: U.S.]
840036
New York [State: U.S.]
840037
North Carolina [State: U.S.]
840038
North Dakota [State: U.S.]
840039
Ohio [State: U.S.]
840040
Oklahoma [State: U.S.]
840041
Oregon [State: U.S.]
840042
Pennsylvania [State: U.S.]
840044
Rhode Island [State: U.S.]
840045
South Carolina [State: U.S.]
840046
South Dakota [State: U.S.]
840047
Tennessee [State: U.S.]
840048
Texas [State: U.S.]
840049
Utah [State: U.S.]
840050
Vermont [State: U.S.]
840051
Virginia [State: U.S.]
840053
Washington [State: U.S.]
840054
West Virginia [State: U.S.]
840055
Wisconsin [State: U.S.]
840056
Wyoming [State: U.S.]
840099
State not identified [State: U.S.]
854001
Boucle du Mouhoun [Region: Burkina Faso]
854002
Cascades [Region: Burkina Faso]
854003
Centre [Region: Burkina Faso]
854004
Centre-Est [Region: Burkina Faso]
854005
Centre-Nord [Region: Burkina Faso]
854006
Centre-Ouest [Region: Burkina Faso]
854007
Centre-Sud [Region: Burkina Faso]
854008
Est [Region: Burkina Faso]
854009
Hauts-Bassins [Region: Burkina Faso]
854010
Nord [Region: Burkina Faso]
854011
Plateau Central [Region: Burkina Faso]
854012
Sahel [Region: Burkina Faso]
854013
Sud-Ouest [Region: Burkina Faso]
858001
Montevideo [Department: Uruguay]
858002
Artigas [Department: Uruguay]
858003
Canelones [Department: Uruguay]
858004
Cerro Largo [Department: Uruguay]
858005
Colonia [Department: Uruguay]
858006
Durazno [Department: Uruguay]
858007
Flores [Department: Uruguay]
858008
Florida [Department: Uruguay]
858009
Lavalleja [Department: Uruguay]
858010
Maldonado [Department: Uruguay]
858011
Paysandú [Department: Uruguay]
858012
RÃo Negro [Department: Uruguay]
858013
Rivera [Department: Uruguay]
858014
Rocha [Department: Uruguay]
858015
Salto [Department: Uruguay]
858016
San Jose [Department: Uruguay]
858017
Soriano [Department: Uruguay]
858018
Tacuarembó [Department: Uruguay]
858019
Treinta Y Tres [Department: Uruguay]
862001
Federal District, Vargas [State: Venezuela]
862002
Amazonas Federal Territory [State: Venezuela]
862003
Anzoátegui [State: Venezuela]
862004
Apure [State: Venezuela]
862005
Aragua [State: Venezuela]
862007
BolÃvar [State: Venezuela]
862008
Carabobo [State: Venezuela]
862009
Cojedes [State: Venezuela]
862010
Amacuros Delta Federal Territory [State: Venezuela]
862011
Falcón [State: Venezuela]
862012
Guárico [State: Venezuela]
862013
Lara [State: Venezuela]
862014
Barinas, Mérida [State: Venezuela]
862015
Miranda [State: Venezuela]
862016
Monagas [State: Venezuela]
862017
Nueva Esparta, Federal Dependencies [State: Venezuela]
862018
Portuguesa [State: Venezuela]
862019
Sucre [State: Venezuela]
862020
Táchira [State: Venezuela]
862021
Trujillo [State: Venezuela]
862022
Yaracuy [State: Venezuela]
862023
Zulia [State: Venezuela]
894001
Central [Province: Zambia]
894002
Copperbelt [Province: Zambia]
894003
Eastern, Muchinga, Northern [Province: Zambia]
894004
Luapula [Province: Zambia]
894005
Lusaka [Province: Zambia]
894008
North Western [Province: Zambia]
894009
Southern [Province: Zambia]
894010
Western [Province: Zambia]
GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
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
This variable indicates the number of persons in household.
Technical Household Variables -- HOUSEHOLD
IPUMS
SAR region
SAR region
SAR region
SAR region
SAR region
Census District ____
Enumeration District ____
Form Number ____
Name ________
Address ________
Post Code _ _ _ _ - _ _ _
ABS ____
All households
1
North
2
Yorkshire and Humberside
3
East Midlands
4
East Anglia
5
Inner London
6
Outer London
7
Rest of South East
8
South West
9
West Midlands
10
North West
11
Wales
12
Scotland
This variable indicates the Samples of Anonymised Records (SAR) region.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Ward group codes
Ward group codes
Ward group codes
Ward group codes
Ward group codes
Census District ____
Enumeration District ____
Form Number ____
Name ________
Address ________
Post Code _ _ _ _ - _ _ _
ABS ____
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
This variable indicates the ward group codes.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Bath/shower
Bath/shower
Bath/shower
Bath/shower
Bath/shower
Does your household - that is, you and any people who usually live here with you - have use of:
a. A bath or shower?
[] 1 Yes - for use only by this household
[] 2 Yes - for use also by another household
[] 3 No - no bath or shower available
All households
1
Exclusive use of bath/shower
2
Sharing use of bath/shower
3
Lacking use of bath/shower
This variable indicates the household's use of bath/shower.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Central heating
Central heating
Central heating
Central heating
Central heating
Does your household - that is, you and any people who usually live here with you - have use of:
c. Central heating in living rooms and bedrooms (including night storage heaters, warm air or under-floor heating), whether actually used or not?
[] 1 Yes - all living rooms and bedrooms centrally heated
[] 2 Yes - some not all living rooms and bedrooms centrally heated
[] 3 No - no living rooms or bedrooms centrally heated
All households
1
Central heating in all rooms
2
Central heating in some rooms
3
No central heating
This variable indicates the household's use of central heating.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Availability of inside flush toilet
Availability of inside flush toilet
Availability of inside flush toilet
Availability of inside flush toilet
Availability of inside flush toilet
Does your household - that is, you and any people who usually live here with you - have use of:
b. A flush toilet/WC with entrance inside the building?
[] 0 Yes - for use only by this household
[] 1 Yes - for use also by another household
[] 2 No - flush toilet with outside entrance only
[] 3 No - no flush toilet indoors or outdoors
All households
1
Exclusive use of inside flush toilet
2
Sharing use of inside flush toilet
3
Lacking use of inside flush toilet
This variable indicates the availability of inside flush toilet.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of cars
Number of cars
Number of cars
Number of cars
Number of cars
Please tick the appropriate box to indicate the number of cars and vans normally available for use by you or your household (other than visitors).
Include any car or van provided by employers if normally available for use by you or members of your household, but exclude vans used only for carrying goods.
[] 0 None
[] 1 One
[] 2 Two
[] 3 Three or more
All households
No cars
1
One car
2
Two cars
3
Three or more cars
This variable indicates the number of cars available for use by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Lowest floor level of accommodation
Lowest floor level of accommodation
Lowest floor level of accommodation
Lowest floor level of accommodation
Lowest floor level of accommodation
Lowest floor level of accommodation
Households in Scotland
Ground floor
1
Basement
2
1st or 2nd floor
3
3rd or 4th floor
4
5th or 6th floor
5
7th - 9th floor
6
10th floor and over
9
NIU (not in universe)
This variable indicates the lowest floor level of accommodation.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Household space dwelling type
Household space dwelling type
Household space dwelling type
Household space dwelling type
Household space dwelling type
Tick one box to show the type of accommodation which this household occupies.
[] 1 A caravan or other mobile or temporary structure
A whole house or bungalow that is:
[] 2 Detached
[] 3 Semi-detached
[] 4 Terraced (include end of terrace)
The whole of a purpose built flat or maisonette
[] 5 In a commercial building (for example in an office building or hotel or over a shop)
[] 6 In a block of flats or tenement
Part of a converted or shared house, bungalow or flat
[] 7 Separate entrance into the building [answer H2]
[] 8 Shared entrance into building [answer H2]
H2. Accommodation
If box 7 or box 8 in Panel A is ticked, tick one box below to show the type of accommodation which your household occupies.
[] 1 A one roomed flatlet with private bath or shower, WC and kitchen facilities.
[] 2 One room or bedsit, not self-contained (to move from your room to bathroom, WC or kitchen facilities you have to use a hall, landing or stairway open to other household(s)).
[] 3 A self-contained flat or accommodation with 2 or more rooms, having bath or shower, WC and kitchen facilities all behind its own private door.
[] 4 2 or more rooms, not self-contained (to move from your room to bathroom, WC or kitchen facilities you have to use a hall, landing or stairway open to other household(s)).
All households
1
Unshared dwelling, purpose-built: detached
2
Unshared dwelling, purpose-built: semi-detached
3
Unshared dwelling, purpose-built: terraced
4
Unshared dwelling, purpose-built: flat (residential building)
5
Unshared dwelling, purpose-builtlt: flat (commercial building)
6
Unshared dwelling: converted flat
7
Unshared dwelling: converted flatlet
8
Unshared dwelling, not self-contained: flat
9
Unshared dwelling, not self-contained: rooms
10
Unshared dwelling, not self-contained: bedsit
11
Other household space, not self-contained: flat
12
Other household space, not self-contained: rooms
13
Other household space, not self-contained: bedsit
14
Non-permanent accomodation
This variable indicates the household space dwelling type.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Number of household spaces in dwelling
Number of household spaces in dwelling
Number of household spaces in dwelling
Number of household spaces in dwelling
Number of household spaces in dwelling
Number of household spaces in dwelling
All households
1
One household space
2
Two household spaces
3
Three household spaces
4
Four or more household spaces
This variable indicates the number of household spaces in the dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of rooms in household space
Number of rooms in household space
Number of rooms in household space
Number of rooms in household space
Number of rooms in household space
H1. Rooms
Please count the number of rooms your household has for its own use.
Do not count: small kitchens, under 2 meters (6 feet 6 inches) wide, bathrooms, toilets
Do count: living rooms, bedrooms, kitchens at least 2 meters (6 feet 6 inches) wide, all other rooms in your accommodation
The total number of rooms is ____
All households
1
One room
2
Two rooms
3
Three rooms
4
Four rooms
5
Five rooms
6
Six rooms
7
Seven rooms
8
Eight rooms
9
Nine rooms
10
Ten rooms
11
Eleven rooms
12
Twelve rooms
13
Thirteen rooms
14
Fourteen rooms
15
Fifteen or more rooms
This variable indicates the number of rooms the household has for its use.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Tenure of household space
Tenure of household space
Tenure of household space
Tenure of household space
Tenure of household space
Please tick the box which best describes how you and your household occupy your accommodation.
If buying by stages from a Council, Housing Association or New Town (under shared ownership, co-ownership or equity sharing scheme), answer as an owner-occupier at box 1.
As an owner-occupier:
[] 1 buying the property through mortgage or loan
[] 2 owning the property outright (no loan)
If your accommodation is occupied by lease originally granted of, or extended to, more than 21 years, answer as an owner-occupier. For shorter leases, answer 'By renting'.
By renting, rent free or by lease:
[] 3 with a job, farm, shop or other business
[] 4 from a local authority (Council)
[] 5 from a New town Development Corporation (or Commission) of from a Housing Action Trust
[] 6 from a housing association or charitable trust
A private landlord may be a person a company or another organisation not mentioned at 3, 4, 5 or 6 above
[] 7 from a private landlord, furnished
[] 8 from a private landlord, unfurnished
[] In some other way: please give details below ________
All households
1
Owner occupied -- owned outright
2
Owner occupied -- buying
3
Rented privately -- furnished
4
Rented privately -- unfurnished
5
Rented with a job or business
6
Rented from a housing association
7
Rented from a local authority or new town in England and Wales
8
Rented from a local authority in Scotland
9
Rented from a new town in Scotland
10
Rented from Scottish homes
This variable indicates the tenure status of household space.
Household Economic 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 or more
This variable indicates the number of persons in the household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Wholly moving household
Wholly moving household
Wholly moving household
Wholly moving household
Wholly moving household
Wholly moving household
All households
1
Yes
2
No
9
Visitor households
This variable indicates whether it is a wholly moving household.
Other Household Variables -- HOUSEHOLD
IPUMS
Household composition type
Household composition type
Household composition type
Household composition type
Household composition type
Household composition type
All households except visitor households
NIU (not in universe)
1
No adults, all dependent children
2
One adult male, aged 65+, with no dependent children
3
One adult male, aged 64 or less, with no dependent children
4
One adult male, with 1 dependent child
5
One adult male, with 2 or more dependent children
6
One adult female, aged 60+, with no dependent children
7
One adult female, aged 59 or less, with no dependent children
8
One adult female, with one dependent child
9
One adult female, with 2 or more dependent children
10
Two adults (1 male, 1 female), 1 or both of pensionable age, with no dependent children
11
Two adults (1 male, 1 female), both under pensionable age, with no dependent children
12
Two adults (1 male, 1 female), with 1 dependent child
13
Two adults (1 male, 1 female), with 2 dependent children
14
Two adults (1 male, 1 female), with 3 or more dependent children
15
Two adults (same sex), 1 or both of pensionable age, no dependent children
16
Two adults (same sex), both under pensionable age, no dependent
17
Two adults (same sex), with 1 or more dependent children
18
Three or more adults (mixed sex), with no dependent children
19
Three or more adults (mixed sex), with 1 or 2 dependent children
20
Three or more adults (mixed sex), with 3 or more dependent children
21
Three or more adults (same sex), with no dependent children
22
Three or more adults (same sex), with 1 or more dependent children
This variable indicates the household composition type.
Other Household Variables -- HOUSEHOLD
IPUMS
Household dependant type
Household dependant type
Household dependant type
Household dependant type
Household dependant type
Household dependant type
All households except visitor households
NIU (not in universe)
1
Households with no resident dependants
2
Households with 1 resident dependant, aged 0-4
3
Households with 1 resident dependant, aged 5-15
4
Households with 1 resident dependant, aged 16-18
5
Households with 1 resident dependant, aged 19 to pensionable age
6
Households with 1 dependant, pensionable age and over
7
Households with 2 or more dependants, youngest aged 0-4, oldest aged 0-4
8
Households with 2 or more dependants, youngest aged 0-4, oldest aged 5-15
9
Households with 2 or more dependants, youngest aged 0-4, oldest aged 16-18
10
Households with 2 or more dependants, youngest aged 0-4, oldest aged 19 to pensionable age
11
Households with 2 or more dependants, youngest aged 0-4, oldest pensionable age and over
12
Households with 2 dependants, youngest aged 5-15, oldest aged 5-15
13
Households with 2 dependants, youngest aged 5-15, oldest aged 16-18
14
Households with 2 dependants, youngest aged 5-15, oldest aged 19 to pensionable age
15
Households with 2 or more dependants, youngest aged 5-15, oldest pensionable age and over
16
Households with 2 or more dependants, youngest 16-18, oldest 16-18
17
Households with 2 dependants, youngest aged 16-18, oldest aged 19 to pensionable age
18
Households with 2 or more dependants, youngest aged 16-18, oldest pensionable age and over
19
Households with 2 or more dependants, youngest aged 19 to pensionable age, oldest aged 19 to pensionable age
20
Households with 2 or more dependants, youngest aged 19 to pensionable age, oldest pensionable age and over
21
Households with 2 or more dependants, both pensionable age and over
99
Unknown
This variable indicates the household dependant type.
Other Household Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
HHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Household Variables -- HOUSEHOLD
IPUMS
United Kingdom, Region 1991 - 2001 [Level 1; consistent boundaries, GIS]
United Kingdom, Region 1991 - 2001 [Level 1; consistent boundaries, GIS]
United Kingdom, Region 1991 - 2001 [Level 1; consistent boundaries, GIS]
United Kingdom, Region 1991 - 2001 [Level 1; consistent boundaries, GIS]
United Kingdom, Region 1991 - 2001 [Level 1; consistent boundaries, GIS]
826011
North East
826013
North West
826014
Yorkshire and the Humber
826021
East Midlands
826022
West Midlands
826031
East of England
826032
South East and London
826040
South West
826060
Scotland
826070
Wales
826080
Northern Ireland
GEO1_UK identifies the household's region within United Kingdom in all sample years. Regions are the first level administrative units of the country. GEO1_UK 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_UK can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for the United Kingdom can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for the United Kingdom. Year specific geography and maps will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
United Kingdom, Region 1991 - 2001 [Level 1; inconsistent boundaries, harmonized by name]
United Kingdom, Region 1991 - 2001 [Level 1; inconsistent boundaries, harmonized by name]
United Kingdom, Region 1991 - 2001 [Level 1; inconsistent boundaries, harmonized by name]
United Kingdom, Region 1991 - 2001 [Level 1; inconsistent boundaries, harmonized by name]
United Kingdom, Region 1991 - 2001 [Level 1; inconsistent boundaries, harmonized by name]
10
NORTH
11
North East
12
North
13
North West
14
Yorkshire and the Humber
20
MIDLANDS
21
East Midlands
22
West Midlands
30
EAST - SOUTH EAST
31
East of England
32
East Anglia
33
South East
34
Rest of South East
40
South West
50
GREATER LONDON
51
Inner London
52
Outer London
60
Scotland
70
Wales
80
Northern Ireland
GEO1_UKX identifies the household's region within the United Kingdom in all sample years. Regions are the first level administrative units of the country. GEO1_UKX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for the United Kingdom can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for the United Kingdom. Year specific geography and maps will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
No married couples in household
1
1 couple
2
2 couples
3
3 couples
4
4 couples
5
5 couples
6
6 couples
7
7 couples
8
8 couples
9
9 or more couples
NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
No mothers in household
1
1 mother
2
2 mothers
3
3 mothers
4
4 mothers
5
5 mothers
6
6 mothers
7
7 mothers
8
8 mothers
9
9 or more mothers in household
NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
No fathers in household
1
1 father
2
2 fathers
3
3 fathers
4
4 fathers
5
5 fathers
6
6 fathers
7
7 fathers
8
8 fathers
9
9 or more fathers in household
NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Country
Country
Country
Country
Country
32
Argentina
40
Austria
50
Bangladesh
51
Armenia
68
Bolivia
76
Brazil
112
Belarus
116
Cambodia
120
Cameroon
124
Canada
152
Chile
156
China
170
Colombia
188
Costa Rica
192
Cuba
214
Dominican Republic
218
Ecuador
222
El Salvador
231
Ethiopia
242
Fiji
250
France
275
Palestine
276
Germany
288
Ghana
300
Greece
324
Guinea
332
Haiti
348
Hungary
356
India
360
Indonesia
364
Iran
368
Iraq
372
Ireland
376
Israel
380
Italy
388
Jamaica
400
Jordan
404
Kenya
417
Kyrgyz Republic
430
Liberia
454
Malawi
458
Malaysia
466
Mali
484
Mexico
496
Mongolia
504
Morocco
508
Mozambique
524
Nepal
528
Netherlands
558
Nicaragua
566
Nigeria
586
Pakistan
591
Panama
600
Paraguay
604
Peru
608
Philippines
620
Portugal
630
Puerto Rico
642
Romania
646
Rwanda
662
Saint Lucia
686
Senegal
694
Sierra Leone
704
Vietnam
705
Slovenia
710
South Africa
724
Spain
728
South Sudan
729
Sudan
756
Switzerland
764
Thailand
792
Turkey
800
Uganda
804
Ukraine
818
Egypt
826
United Kingdom
834
Tanzania
840
United States
854
Burkina Faso
858
Uruguay
862
Venezuela
894
Zambia
COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
Technical Household Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
NIU (not in universe)
1
Owned
2
Not owned
9
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
NIU (not in universe)
100
Owned
110
Owned, already paid
120
Owned, still paying
130
Owned, constructed
140
Owned, inherited
190
Owned, other
191
Owned, house
192
Owned, condominium
193
Apartment proprietor
194
Shared ownership
200
Not owned
210
Renting, not specified
211
Renting, government
212
Renting, local authority
213
Renting, parastatal
214
Renting, private
215
Renting, private company
216
Renting, individual
217
Renting, collective
218
Renting, joint state and individual
219
Renting, public subsidized
220
Renting, private subsidized
221
Renting, co-tenant
222
Renting, relative of tenant
223
Renting, cooperative
224
Renting, with a job or business
225
Renting, loan-backed habitation
226
Renting, mixed contract
227
Furnished dwelling
228
Sharecropping
230
Subletting
231
Rent to own
239
Renting, other
240
Occupied de facto/squatting
250
Free/usufruct (no cash rent)
251
Free, provided by employer
252
Free, without work or services
253
Free, provided by family or friend
254
Free, private
255
Free, public
256
Free, condemned
257
Free, other
290
Not owned, other
999
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
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
Age, intervalled, United Kingdom
Age, intervalled, United Kingdom
Age, intervalled, United Kingdom
Age, intervalled, United Kingdom
Age, intervalled, United Kingdom
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
16-19
20
20-24
25
25-29
30
30-44
45
45-59
60
60-64
65
65-69
70
70-74
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
93
93-94
95
95+
AGE3 gives years of age grouped into the intervals used in the 2001 United Kingdom sample. The data are coded to the first age value of the interval. Single years of age are given below age 16 and above age 74.
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
Race or color
Race or color
Race or color
Race or color
Race or color
10
White
20
Black
21
Black African
22
Black Caribbean
23
Afro-Ecuadorian
24
Other Black
30
Indigenous
31
American Indian
40
Asian
41
Chinese
42
Japanese
43
Korean
44
Vietnamese
45
Filipino
46
Indian
47
Pakistani
48
Bangladeshi
49
Other Asian
50
Mixed race
51
Brown (Brazil)
52
Mestizo (Indigenous and White)
53
Mulatto (Black and White)
54
Coloured (South Africa)
55
Two or more races
60
Other
61
Montubio (Ecuador)
99
Unknown
Race identifies the racial group with which a person identified himself or herself, or to which an enumerator assigned them. Determinations of race are based largely on appearance or ancestral place of origin.
Ethnicity and Language Variables -- PERSON
IPUMS
Educational attainment, United Kingdom
Educational attainment, United Kingdom
Educational attainment, United Kingdom
Educational attainment, United Kingdom
Educational attainment, United Kingdom
10
Level A (1991)
11
Level B (1991)
12
Level C (1991)
20
No qualifications (2001)
21
Level 1 (2001)
22
Level 2 (2001)
23
Level 3 (2001)
24
Level 4/5 (2001)
29
Other and unknown (2001)
30
No qualifications (2001 Scotland)
31
Group 1 (2001 Scotland)
32
Group 2 (2001 Scotland)
33
Group 3 (2001 Scotland)
34
Group 4 (2001 Scotland)
99
NIU (not in universe)
EDUCUK indicates the person's educational attainment based on the United Kingdom's system of qualifications.
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: UK1991A_0418
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: UK1991A_0414
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
Full-time or part-time work
Full-time or part-time work
Full-time or part-time work
Full-time or part-time work
Full-time or part-time work
NIU (not in universe)
1
Part-time
2
Full-time
9
Unknown
HRSFULL indicates whether the respondent worked full-time or part-time.
Work Variables -- PERSON
IPUMS
Hours worked in main occupation
Hours worked in main occupation
Hours worked in main occupation
Hours worked in main occupation
Hours worked in main occupation
0 hours
1
1 hour
2
2 hours
3
3 hours
4
4 hours
5
5 hours
6
6 hours
7
7 hours
8
8 hours
9
9 hours
10
10 hours
11
11 hours
12
12 hours
13
13 hours
14
14 hours
15
15 hours
16
16 hours
17
17 hours
18
18 hours
19
19 hours
20
20 hours
21
21 hours
22
22 hours
23
23 hours
24
24 hours
25
25 hours
26
26 hours
27
27 hours
28
28 hours
29
29 hours
30
30 hours
31
31 hours
32
32 hours
33
33 hours
34
34 hours
35
35 hours
36
36 hours
37
37 hours
38
38 hours
39
39 hours
40
40 hours
41
41 hours
42
42 hours
43
43 hours
44
44 hours
45
45 hours
46
46 hours
47
47 hours
48
48 hours
49
49 hours
50
50 hours
51
51 hours
52
52 hours
53
53 hours
54
54 hours
55
55 hours
56
56 hours
57
57 hours
58
58 hours
59
59 hours
60
60 hours
61
61 hours
62
62 hours
63
63 hours
64
64 hours
65
65 hours
66
66 hours
67
67 hours
68
68 hours
69
69 hours
70
70 hours
71
71 hours
72
72 hours
73
73 hours
74
74 hours
75
75 hours
76
76 hours
77
77 hours
78
78 hours
79
79 hours
80
80 hours
81
81 hours
82
82 hours
83
83 hours
84
84 hours
85
85 hours
86
86 hours
87
87 hours
88
88 hours
89
89 hours
90
90 hours
91
91 hours
92
92 hours
93
93 hours
94
94 hours
95
95 hours
96
96 hours
97
97 hours
98
98 hours
99
99 hours
100
100 hours
101
101 hours
102
102 hours
103
103 hours
104
104 hours
105
105 hours
106
106 hours
107
107 hours
108
108 hours
109
109 hours
110
110 hours
111
111 hours
112
112 hours
113
113 hours
114
114 hours
115
115 hours
116
116 hours
117
117 hours
118
118 hours
119
119 hours
120
120 hours
121
121 hours
122
122 hours
123
123 hours
124
124 hours
125
125 hours
126
126 hours
127
127 hours
128
128 hours
129
129 hours
130
130 hours
131
131 hours
132
132 hours
133
133 hours
134
134 hours
135
135 hours
136
136 hours
137
137 hours
138
138 hours
139
139 hours
140
140+ hours
998
Unknown
999
NIU (not in universe)
HRSMAIN indicates the number of hours the respondent worked per week in jobs related to their primary occupation.
Work Variables -- PERSON
IPUMS
Means of transportation to work or school
Means of transportation to work or school
Means of transportation to work or school
Means of transportation to work or school
Means of transportation to work or school
NIU (not in universe)
10
None, does not travel to work or school
20
Walking
21
Walks or bicycle
22
Walks, bicycle, or motorcycle
30
Private vehicle
31
Auto, truck, or van
32
Auto (driver)
33
Auto (passenger)
34
Auto, motorcycle, moped
35
Motorcycle or moped
36
Bicycle
37
Bicycle or motorcycle
38
Bicycle or moped
40
Public transportation
41
Bus or trolley bus
42
Bus or streetcar
43
Streetcar or trolley car
44
Railroad or train
45
Subway or elevated train
46
Other public transportation
50
Other
51
Taxicab
52
Ferryboat
53
Special transportation (company coach, school bus, etc.)
54
Hired transport
55
Shared private transport
56
Horse
57
Other, not elsewhere classified
60
Combination of several means
99
Unknown/missing
TRNWRK identifies the primary or usual means of transportation the person took either to work or school.
In censuses in which a person could report multiple modes of transportation, TRNWRK reports only the first method reported.
Work Variables -- PERSON
IPUMS
Region of residence 1 year ago, United Kingdom
Region of residence 1 year ago, United Kingdom
Region of residence 1 year ago, United Kingdom
Region of residence 1 year ago, United Kingdom
Region of residence 1 year ago, United Kingdom
1
Non-migrants: same address 1 year ago
11
North East
12
North
13
North West
14
Yorkshire and the Humber
21
East Midlands
22
West Midlands
31
East of England
32
East Anglia
33
South East
40
South West
51
Inner London
52
Outer London
60
Scotland
70
Wales
80
Northern Ireland
90
Other country
98
Unknown
99
NIU (not in universe)
MIGUK indicates the person's region of residence one year ago in the United Kingdom.
Migration Variables -- PERSON
IPUMS
Employment disability
Employment disability
Employment disability
Employment disability
Employment disability
1
Disabled
2
Not disabled
8
Unknown
9
NIU (not in universe)
DISEMP indicates if the respondent was economically inactive because of disabilities.
Disability Variables -- PERSON
IPUMS
Residence status: de facto, de jure
Residence status: de facto, de jure
Residence status: de facto, de jure
Residence status: de facto, de jure
Residence status: de facto, de jure
1
Present resident
2
Absent resident
3
Visitor/non-resident
4
De facto population (present persons)
9
Unknown/missing
RESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents. It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night.
De jure population: present residents and absent residents.
De facto population: present residents and visitors/non-residents.
Technical Person Variables -- PERSON
IPUMS
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
10
Armed forces
111
Legislators
112
Senior government officials
113
Traditional chiefs and heads of villages
114
Senior officials of special-interest organizations
121
Directors and chief executives
122
Production and operations department managers
123
Other department managers
131
General managers
199
Legislators, senior officials and managers not elsewhere classified
211
Physicists, chemists and related professionals
212
Mathematicians, statisticians and related professionals
213
Computing professionals
214
Architects, engineers and related professionals
221
Life science professionals
222
Health professionals (except nursing)
223
Nursing and midwifery professionals
231
College, university and higher education teaching professionals
232
Secondary education teaching professionals
233
Primary and pre-primary education teaching professionals
234
Special education teaching professionals
235
Other teaching professionals
241
Business professionals
242
Legal professionals
243
Archivists, librarians and related information professionals
244
Social science and related professionals
245
Writers and creative or performing artists
246
Religious professionals
299
Professionals no elsewhere classified
311
Physical and engineering science technicians
312
Computer associate professionals
313
Optical and electronic equipment operators
314
Ship and aircraft controllers and technicians
315
Safety and quality inspectors
321
Life science technicians and related associate professionals
322
Modern health associate professionals (except nursing)
323
Nursing and midwifery associate professionals
324
Traditional medicine practitioners and faith healers
331
Primary education teaching associate professionals
332
Pre-primary education teaching associate professionals
333
Special education teaching associate professionals
334
Other teaching associate professionals
341
Finance and sales associate professionals
342
Business services agents and trade brokers
343
Administrative associate professionals
344
Customs, tax and related government associate professionals
345
Police inspectors and detectives
346
Social work associate professionals
347
Artistic, entertainment and sports associate professionals
348
Religious associate professionals
399
Technicians and assoicate professionals not elsewhere classified
411
Secretaries and keyboard-operating clerks
412
Numerical clerks
413
Material-recording and transport clerks
414
Library, mail and related clerks
419
Other office clerks
421
Cashiers, tellers and related clerks
422
Client information clerks
499
Clerks not elsewhere classified
511
Travel attendants and related workers
512
Housekeeping and restaurant services workers
513
Personal care and related workers
514
Other personal services workers
515
Astrologers, fortune-tellers and related workers
516
Protective services workers
521
Fashion and other models
522
Shop salespersons and demonstrators
523
Stall and market salespersons
599
Service workers and shop and market sales workers not elsewhere classified
611
Market gardeners and crop growers
612
Market-oriented animal producers and related workers
613
Market-oriented crop and animal producers
614
Forestry and related workers
615
Fishery workers, hunters and trappers
621
Subsistence agricultural and fishery workers
699
Skilled agricultural and fishery workers not elsewhere classified
711
Miners, shotfirers, stone cutters and carvers
712
Building frame and related trades workers
713
Building finishers and related trades workers
714
Painters, building structure cleaners and related trades workers
721
Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers
722
Blacksmiths, tool-makers and related trades workers
723
Machinery mechanics and fitters
724
Electrical and electronic equipment mechanics and fitters
731
Precision workers in metal and related materials
732
Potters, glass-makers and related trades workers
733
Handicraft workers in wood, textile, leather and related materials
734
Printing and related trades workers
741
Food processing and related trades workers
742
Wood treaters, cabinet-makers and related trades workers
743
Textile, garment and related trades workers
744
Pelt, leather and shoemaking trades workers
799
Craft and related trade workers not elsewhere classified
811
Mining- and mineral-processing-plant operators
812
Metal-processing-plant operators
813
Glass, ceramics and related plant operators
814
Wood-processing- and papermaking-plant operators
815
Chemical-processing-plant operators
816
Power-production and related plant operators
817
Automated-assembly-line and industrial-robot operators
821
Metal- and mineral-products machine operators
822
Chemical-products machine operators
823
Rubber- and plastic-products machine operators
824
Wood-products machine operators
825
Printing-, binding- and paper-products machine operators
826
Textile-, fur- and leather-products machine operators
827
Food and related products machine operators
828
Assemblers
829
Other machine operators and assemblers
831
Locomotive-engine drivers and related workers
832
Motor-vehicle drivers
833
Agricultural and other mobile-plant operators
834
Ships' deck crews and related workers
899
Other
911
Street vendors and related workers
912
Shoe cleaning and other street services elementary occupations
913
Domestic and related helpers, cleaners and launderers
914
Building caretakers, window and related cleaners
915
Messengers, porters, doorkeepers and related workers
916
Garbage collectors and related labourers
921
Agricultural, fishery and related labourers
931
Mining and construction labourers
932
Manufacturing labourers
933
Transport labourers and freight handlers
989
Elementary occupations not elsewhere classified
990
Other workers, not elsewhere classified
998
Unknown
999
NIU (not in universe)
ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification.
Work Variables -- PERSON
IPUMS
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 households
Household record
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 person number (within household).
Technical Person 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
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 person number within the household.
Technical Person Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
[3] Date of birth
Day ____
Month ____
Year ____
All persons
Less than 1 year old
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91 to 92
93
93 to 94
95
95+
This variable indicates the person's age.
Demographic Variables -- PERSON
IPUMS
Country of birth
Country of birth
Country of birth
Country of birth
Country of birth
10. Country of birth
Please tick the appropriate box.
If the 'Elsewhere' box is ticked, please write in the present name of country in which the birthplace is now situated.
[] 1 England
[] 2 Scotland
[] 3 Wales
[] 4 Northern Ireland
[] 5 Irish Republic
[] Elsewhere
If elsewhere, please write in the present name of the country ________
All persons
1
England
2
Scotland
3
Wales
4
Northern Ireland
5
Channel Islands, Isle of Man, UK part not stated
6
Irish Republic/Ireland part not stated
7
Australia
8
Canada
9
New Zealand
10
Kenya
11
Nigeria
12
Uganda
13
Other Africa (Commonwealth)
14
Jamaica
15
Other Caribbean (Commonwealth)
16
Bangladesh
17
India
18
Pakistan
19
Sri Lanka
20
Hong Kong
21
Malaysia
22
Singapore
23
Cyprus
24
Gibraltor, Malta and Gozo
25
Other New Commonwealth
26
France
27
Germany
28
Italy
29
Spain
30
Belgium, Denmark, Luxembourg and Netherlands
31
Portugal and Greece
32
Poland
33
Albania, Bulgaria, Czech, Hungary, Romania and Yugoslavia
34
Other Europe: Austria/ Finland/ Norway/ Sweden/ Switzerland/ other
35
Turkey and U.S.S.R.
36
Republic of South Africa
37
Other Africa
38
United States of America
39
Other America
40
Middle East
41
Other Asia
42
Rest of the world and at sea/in the air
This variable indicates the person's country of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
Distance of move (migrants)
Distance of move (migrants)
Distance of move (migrants)
Distance of move (migrants)
Distance of move (migrants)
Distance of move (migrants)
Migrants
0-4 km
5
5-9 km
10
10-14 km
15
15-19 km
20
20-29 km
30
30-39 km
40
40-49 km
50
50-59 km
60
60-79 km
80
80-99 km
100
100-149 km
150
150-199 km
200
200+ km
997
Moved from outside GB
998
Unknown
999
NIU (not in universe)
This variable indicates the distance of move for migrants.
Migration Variables -- PERSON
IPUMS
Distance to work
Distance to work
Distance to work
Distance to work
Distance to work
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
17. Address of place of work
Please give the full address of the person's place of work.
For a person employed on a site for a long period, give the address of the site.
For a person not working regularly at one place who reports daily to a depot or other fixed address, give that address.
For a person not reporting daily to a fixed address, tick box 1.
For a person working mainly at home, tick box 2.
Armed forces - leave blank.
Please rite full address and postcode of workplace below in block capitals
________
Post-code _ _ _ _ - _ _ _
[] 1 No fixed place
[] 2 Mainly at home
Persons age 16+ who are employed with either primary or secondary economic position
0-2 km
3
3-4 km
5
5-9 km
10
10-19 km
20
20-29 km
30
30-39 km
40
40 km+
90
Working outside GB (incl. N. Ireland)
91
Working at home (incl. no fixed place)
98
Unknown
99
NIU (not in universe)
This variable indicates the distance to work.
Work Variables -- PERSON
IPUMS
Economic position (primary)
Economic position (primary)
Economic position (primary)
Economic position (primary)
Economic position (primary)
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
13. Whether working, retired, looking after the home etc. last week
Which of these things was the person doing last week?
Please read carefully through the list and tick all the descriptions that apply.
Casual or temporary work should be counted at boxed 1, 2, 3 or 4. Also tick boxes 1, 2, 3 or 4 if the person had a job last week but was off sick, on holiday, temporarily laid off or on strike.
Boxes 1, 2, 3 and 4 refer to work for pay or profit but not to unpaid work except in a family business.
Working for an employer is part time (box 2) if the hours worked, excluding any overtime and mealbreaks, are usually 30 hours or less per week.
[] 1 Was working for an employer full time (more than 30 hours a week)
[] 2 Was working for an employer part time (one hour or more a week)
[] 3 Was self-employed, employing other people
[] 4 Was self-employed, not employing other people
[] 5 Was on a government employment or training scheme
[] 6 Was waiting to start a job he/she had already accepted
[] 7 Was unemployment and looking for a job (Include any person wanting a job but prevented from looking by holiday or temporary sickness)
[] 8 Was at school or in other full time education (Do not count training given or paid for by an employer)
[] 9 Was unable to work because of long term sickness or disability
[] 10 Was retired from paid work
[] 11 Was looking after the home or family
[] Other, please specify ________
[Identification header here]
Please read A below, tick the box that applies and follow the instruction by the box ticked. This will tell you which questions to answer for each person.
[Question A. applies to people who were full or part-time employees or self-employed, with or without employees]
A. Did the person have a paid job last week (any of the boxes 1, 2, 3 or 4 ticked at question 13)?
[] Yes. Answer questions 14, 15, 16, 17 and 18 about the main job last week, then go on to question 19. Answer B
B. Has the person had a paid job within the last 10 years?
[] Yes. Answer questions 14, 15, 16, 17 and 18 about the most recent job, then go on to question 19.
Persons age 16+
1
Employee full-time
2
Employee part-time
3
Self-employed with employees
4
Self-employed without employees
5
On a government scheme
6
Unemployed
7
Student
8
Permanently sick
9
Retired
10
Other inactive
99
NIU (not in universe)
This variable indicates the person's primary economic position.
Work Variables -- PERSON
IPUMS
Economic position (secondary)
Economic position (secondary)
Economic position (secondary)
Economic position (secondary)
Economic position (secondary)
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
13. Whether working, retired, looking after the home etc. last week
Which of these things was the person doing last week?
Please read carefully through the list and tick all the descriptions that apply.
Casual or temporary work should be counted at boxed 1, 2, 3 or 4. Also tick boxes 1, 2, 3 or 4 if the person had a job last week but was off sick, on holiday, temporarily laid off or on strike.
Boxes 1, 2, 3 and 4 refer to work for pay or profit but not to unpaid work except in a family business.
Working for an employer is part time (box 2) if the hours worked, excluding any overtime and mealbreaks, are usually 30 hours or less per week.
[] 1 Was working for an employer full time (more than 30 hours a week)
[] 2 Was working for an employer part time (one hour or more a week)
[] 3 Was self-employed, employing other people
[] 4 Was self-employed, not employing other people
[] 5 Was on a government employment or training scheme
[] 6 Was waiting to start a job he/she had already accepted
[] 7 Was unemployment and looking for a job (Include any person wanting a job but prevented from looking by holiday or temporary sickness)
[] 8 Was at school or in other full time education (Do not count training given or paid for by an employer)
[] 9 Was unable to work because of long term sickness or disability
[] 10 Was retired from paid work
[] 11 Was looking after the home or family
[] Other, please specify ________
[Identification header here]
Please read A below, tick the box that applies and follow the instruction by the box ticked. This will tell you which questions to answer for each person.
[Question A. applies to people who were full or part-time employees or self-employed, with or without employees]
A. Did the person have a paid job last week (any of the boxes 1, 2, 3 or 4 ticked at question 13)?
[] Yes. Answer questions 14, 15, 16, 17 and 18 about the main job last week, then go on to question 19. Answer B
B. Has the person had a paid job within the last 10 years?
[] Yes. Answer questions 14, 15, 16, 17 and 18 about the most recent job, then go on to question 19.
Persons age 16+ who have secondary economic position
1
Employee full-time
2
Employee part-time
3
Self-employed
4
Unemployed
5
Student
6
Permanently sick
7
Retired
8
Other inactive
9
NIU (not in universe)
This variable indicates the person's secondary economic position.
Work Variables -- PERSON
IPUMS
Class of worker
Class of worker
Class of worker
Class of worker
Class of worker
13. Whether working, retired, looking after the home etc. last week
Which of these things was the person doing last week?
Please read carefully through the list and tick all the descriptions that apply.
Casual or temporary work should be counted at boxed 1, 2, 3 or 4. Also tick boxes 1, 2, 3 or 4 if the person had a job last week but was off sick, on holiday, temporarily laid off or on strike.
Boxes 1, 2, 3 and 4 refer to work for pay or profit but not to unpaid work except in a family business.
Working for an employer is part time (box 2) if the hours worked, excluding any overtime and mealbreaks, are usually 30 hours or less per week.
[] 1 Was working for an employer full time (more than 30 hours a week)
[] 2 Was working for an employer part time (one hour or more a week)
[] 3 Was self-employed, employing other people
[] 4 Was self-employed, not employing other people
[] 5 Was on a government employment or training scheme
[] 6 Was waiting to start a job he/she had already accepted
[] 7 Was unemployment and looking for a job (Include any person wanting a job but prevented from looking by holiday or temporary sickness)
[] 8 Was at school or in other full time education (Do not count training given or paid for by an employer)
[] 9 Was unable to work because of long term sickness or disability
[] 10 Was retired from paid work
[] 11 Was looking after the home or family
[] Other, please specify ________
[Identification header here]
Please read A below, tick the box that applies and follow the instruction by the box ticked. This will tell you which questions to answer for each person.
[Question A. applies to people who were full or part-time employees or self-employed, with or without employees]
A. Did the person have a paid job last week (any of the boxes 1, 2, 3 or 4 ticked at question 13)?
[] Yes. Answer questions 14, 15, 16, 17 and 18 about the main job last week, then go on to question 19. Answer B
B. Has the person had a paid job within the last 10 years?
[] Yes. Answer questions 14, 15, 16, 17 and 18 about the most recent job, then go on to question 19.
Persons age 16+ who worked within last 10 years
1
Employee not elsewhere classified
2
Manager
3
Foreman/supervisor
4
Self-employed -- employing others
5
Self-employed -- not employing others
9
NIU (not in universe)
This variable indicates the person's employment status.
Work Variables -- PERSON
IPUMS
Ethnic group
Ethnic group
Ethnic group
Ethnic group
Ethnic group
11. Ethnic group
Please tick the appropriate box.
If the person is descended from more than one ethnic or racial group, please tick the group to which the person considers he/she belongs, or tick the 'Any other ethnic group' box and describe the person's ancestry in the space provided.
[] White
[] Black-Caribbean
[] Black-African
[] Black-Other, please describe ________
[] Indian
[] Pakistani
[] Bangladeshi
[] Chinese
[] Any other group, please describe ________
All persons
1
White
2
Black Caribbean
3
Black African
4
Black other
5
Indian
6
Pakistani
7
Bangladeshi
8
Chinese
9
Other-- Asian
10
Other--other
This variable indicates the person's ethnic group.
Ethnicity and Language Variables -- PERSON
IPUMS
Family head
Family head
Family head
Family head
Family head
Family head
Persons in families
1
Yes
2
No
9
NIU (not in universe)
This variable indicates whether the person is a family head.
Demographic Variables -- PERSON
IPUMS
Family number
Family number
Family number
Family number
Family number
Family number
Persons in families
NIU (not in universe)
1
Family 1
2
Family 2
3
Family 3
4
Family 4
This variable indicates the person's family number.
Other Person Variables -- PERSON
IPUMS
Family type
Family type
Family type
Family type
Family type
Family type
Persons in families
1
Married couple -- no children
2
Married couple -- dependent child(ren)
3
Married couple -- non-dependent child(ren) only
4
Cohabiting couple -- no children
5
Cohabiting couple -- dependent child(ren)
6
Cohabiting couple -- non-dependent child(ren) only
7
Lone parent family -- dependent child(ren)
8
Lone parent family -- non-dependent child(ren) only
9
NIU (not in universe)
This variable indicates the family type.
Other Person Variables -- PERSON
IPUMS
Gaelic language
Gaelic language
Gaelic language
Gaelic language
Gaelic language
[From Scotland form]
G. Scottish Gaelic
Can the person speak, read or write Scottish Gaelic?
This question is for all persons aged 3 or over (born before 22nd April 1988).
Pick the appropriate box(es)
[] 1 Can speak Gaelic
[] 2 Can read Gaelic
[] 4 Can write Gaelic
[] 0 Does not know Gaelic
Persons age 3+ in Scotland
1
Speaks Gaelic
2
Speaks and reads or speaks and writes Gaelic
3
Reads or writes or reads and writes Gaelic
4
Speaks, reads and writes Gaelic
5
Does not know Gaelic
8
Unknown
9
NIU (not in universe)
This variable indicates the person's proficiency in Gaelic language.
Ethnicity and Language Variables -- PERSON
IPUMS
Usual hours worked
Usual hours worked
Usual hours worked
Usual hours worked
Usual hours worked
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
14. Hours worked per week
How many hours per week does or did the person usually work in his or her main job?
Do not count overtime or meal breaks.
Numbers of hours worked ____
Persons age 16+ who worked within last 10 year
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71 to 80 hours
81
81+ hours
98
Unknown
99
NIU (not in universe)
This variable indicates the usual number of hours worked per week.
Work Variables -- PERSON
IPUMS
Industrial classification
Industrial classification
Industrial classification
Industrial classification
Industrial classification
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
16. Name and business of employer (if self-employed give the name and nature of the person's business)
At a, please give the name of the employer. Give the trading name if none is used. Do not use abbreviations.
At b, describe clearly what the employer (or the person if self-employed) makes or does (or did).
Armed forces - write 'Armed Forces' at a, and leave b blank. For a member of the Armed Forces of a country other than the UK - add the name of the country.
Civil Servants - give name of Department at a, and write 'Government Department' at b.
Local Government Officer - give name of employing authority at a, and depart in which employed at b.
a Name of employer ________
b Description of employer's business ________
Persons age 16+ who worked within last 10 year
1
Agriculture and horticulture
2
Forestry
3
Fishing
4
Coal extraction and manufacture of solid fuels
5
Coke ovens
6
Extraction of mineral oil and natural gas
7
Mineral oil processing
8
Nuclear fuel production; Production and distribution of other forms of energy
9
Production and distribution of electricity
10
Public gas supply
11
Water supply industry
12
Extraction and preparation of metalliferous ores; extraction of minerals not elsewhere specified
13
Iron and steel industry
14
Steel tubes
15
Drawing, cold rolling and cold forming of steel
16
Non-ferrous metals industry
17
Structural clay products
18
Cement, lime and plaster
19
Building products of concrete, cement or plaster
20
Asbestos goods
21
Working of stone and other non-metallic minerals not elsewhere specified
22
Abrasive products
23
Glass and glassware
24
Refractory and ceramic goods
25
Basic industrial chemicals
26
Paints, varnishes and printing ink
27
Specialised chemical products mainly for industrial and agricultural purposes
28
Pharmaceutical products
29
Soap and toilet preparations
30
Specialised chemical products mainly for household and office use
31
Production of man-made fibres
32
Foundries
33
Forging, pressing and stamping
34
Bolts, nuts, etc.; springs; non-precision chains; metals treatment
35
Metal doors, windows, etc.
36
Hand tools and finished metal goods
37
Industrial plant and steelwork
38
Agricultural machinery and tractors
39
Metal-working machine tools and engineers' tools
40
Textile machinery
41
Machinery for the food, chemical and related industries; process engineering contractors
42
Mining machinery, construction and mechanical handling equipment
43
Mechanical power transmission equipment
44
Machinery for the printing, paper, wood, leather, rubber, glass and related industries; laundry and dry cleaning machinery
45
Other machinery and mechanical equipment
46
Ordnance, small arms and ammunition
47
Manufacture of office machinery and data processing equipment
48
Insulated wires and cables
49
Basic electrical equipment
50
Electrical equipment for industrial use, and batteries and accumulators
51
Telecommunication equipment, electrical measuring equipment, electronic capital goods and passive electronic components
52
Other electronic equipment
53
Domestic-type electric appliances
54
Electric lamps and other electric lighting equipment
55
Electrical equipment installation
56
Motor vehicles and their engines
57
Motor vehicle bodies, trailers and caravans
58
Motor vehicle parts
59
Shipbuilding and repairing
60
Railway and tramway vehicles
61
Cycles and motorcycles; other vehicles
62
Aerospace equipment manufacturing and repairing
63
Measuring, checking and precision instruments and apparatus
64
Medical and surgical equipment and orthopaedic appliances
65
Optical precision instruments and photographic equipment
66
Clocks, watches and other timing devices
67
Organic oils and fats (other than crude animal fats)
68
Slaughtering of animals and production of meat and by-products
69
Preparation of milk and milk products
70
Processing of fruit and vegetables
71
Fish processing
72
Grain milling
73
Starch; miscellaneous foods
74
Bread, biscuits and flour confectionery
75
Sugar and sugar by-products
76
Ice cream, cocoa, chocolate and sugar confectionery
77
Animal feeding stuffs
78
Spirit distilling and compounding
79
Wines, cider and perry
80
Brewing and malting
81
Soft drinks
82
Tobacco industry
83
Woollen and worsted industry
84
Cotton and silk industries
85
Throwing, texturing, etc. of continuous filament yarn; spinning and weaving of flax, hemp and ramie; jute and polypropylene yarns and fabrics
86
Hosiery and other knitted goods
87
Textile finishing
88
Carpets and other textile floor coverings
89
Miscellaneous textiles
90
Leather (tanning and dressing) and fellmongery
91
Leather goods
92
Footwear
93
Clothing, hats and gloves
94
Household textiles and other made-up textiles
95
Fur goods
96
Sawmilling, planing, etc. of wood; manufacture of semi-finished wood products and further processing and treatment of wood
97
Builders' carpentry and joinery
98
Wooden containers
99
Other wooden articles (except furniture)
100
Articles of cork and plaiting materials, brushes and brooms
101
Wooden and upholstered furniture and shop and office fittings
102
Pulp, paper and board
103
Conversion of paper and board
104
Printing and publishing
105
Rubber products; retreading and specialist repairing of rubber tyres
106
Processing of plastics
107
Jewellery and coins
108
Musical instruments; miscellaneous manufacturing industries
109
Photographic and cinematographic processing laboratories
110
Toys and sports goods
111
Construction
112
Wholesale distribution (except dealing in scrap and waste materials)
113
Dealing in scrap and waste materials
114
Commission agents
115
Food retailing; confectioners, tobacconists and newsagents, off-licenses; dispensing and other chemists; retail distribution of clothing; retail distribution of footwear and leather goods; retail distribution of furnishing fabrics and household texti[...]
116
Retail distribution of motor vehicles and parts; filling stations (motor fuel and lubricants)
117
Restaurants, snack bars, cafes and other eating places
118
Public houses and bars
119
Night clubs and licensed clubs
120
Canteens and messes
121
Hotel trade
122
Other tourist or short-stay accommodation
123
Repair and servicing of motor vehicles
124
Repair of footwear and leather goods
125
Repair of other consumer goods
126
Railways
127
Scheduled road passenger transport and urban railways
128
Other road passenger transport
129
Road haulage
130
Transport not elsewhere specified
131
Sea transport
132
Air transport
133
Supporting services to inland transport
134
Supporting services to sea transport
135
Supporting services to air transport
136
Miscellaneous transport services and storage not elsewhere specified
137
Postal services
138
Telecommunications
139
Banking and bill-discounting
140
Other financial institutions
141
Insurance, except for compulsory social security
142
Activities auxiliary to banking and finance
143
Activities auxiliary to insurance
144
House and estate agents
145
Legal services
146
Accountants, auditors, tax experts
147
Professional and technical services not elsewhere specified
148
Advertising
149
Computer services
150
Business services, not elsewhere specified; central offices not allocable elsewhere
151
Hiring out agricultural and horticultural equipment; hiring out construction machinery and equipment; hiring out office machinery and furniture; hiring out other movables
152
Hiring out consumer goods
153
Hiring out transport equipment
154
Owning and dealing in real estate
155
National government service not elsewhere specified
156
Local government service not elsewhere specified
157
Justice
158
Police
159
Fire services
160
National defence
161
Social security
162
Refuse disposal, sanitation and similar services
163
Cleaning services
164
Higher education
165
School education (nursery, primary and secondary)
166
Education not elsewhere specified and vocational training
167
Driving and flying schools
168
Research and development
169
Hospitals, nursing homes, etc.
170
Other medical care institutions
171
Medical practices
172
Dental practices
173
Agency and private midwives, nurses, etc.
174
Veterinary practices and animal hospitals
175
Social welfare, charitable and community services
176
Trade unions, business and professional associations
177
Religious organisations and similar associations
178
Tourist offices and other community services
179
Film production, distribution and exhibition; radio and television services, theatres, etc.; authors, music composers and other own account artists not elsewhere specified; libraries, museums, art galleries, etc.; Sport and other recreational services
180
Laundries, dyers and dry cleaners
181
Hairdressing and beauty parlours
182
Personal services not elsewhere specified
183
Domestic services
184
Diplomatic representation, international organisations, allied armed forces
185
Workplace outside United Kingdom
998
Unknown
999
NIU (not in universe)
This variable indicates the industry the person is employed in.
Work: Industry Variables -- PERSON
IPUMS
Limiting long-term illness
Limiting long-term illness
Limiting long-term illness
Limiting long-term illness
Limiting long-term illness
12. Long-term illness
Dies the persons have any long-term illness, health problem or handicap which limits his/her daily activities or the work he/she can do?
Include problems which are due to old age.
[] 1 Yes, has a health problem which limits activities
[] 2 Has no such health problem
All persons
1
Yes
2
No
This variable indicates whether the person has a limiting long-term illness.
Other Person Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
4. Marital status
On the 21st April what is the person's marital status?
If separated but not divorced, please tick 'Married (first marriage)' or 'Re-married' as appropriate.
Please tick one box.
[] 1 Single (never married)
[] 2 Married (first marriage)
[] 3 Re-married
[] 4 Divorced (decree absolute)
[] 5 Widowed
All persons
1
Single
2
Married
3
Remarried
4
Divorced
5
Widowed
This variable indicates the person's marital status.
Demographic Variables -- PERSON
IPUMS
Region of residence 1 year ago
Region of residence 1 year ago
Region of residence 1 year ago
Region of residence 1 year ago
Region of residence 1 year ago
Region of residence 1 year ago
Persons who changed address in last year
1
North
2
Yorkshire and Humberside
3
East Midlands
4
East Anglia
5
Inner London
6
Outer London
7
Rest of South East
8
South West
9
West Midlands
10
North West
11
Wales
12
Scotland
13
Outside Great Britain
98
Unknown
99
NIU (not in universe)
This variable indicates the person's region of residence 1 year ago. Children under age 1 receive the code of their nearest kin.
Migration Variables -- PERSON
IPUMS
Occupational classification
Occupational classification
Occupational classification
Occupational classification
Occupational classification
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
15. Occupation
Please give the full title of the person's present or lat job and describe the main things he/she does or did in the job.
At a, give the full title by which the job is known, for example: 'packing machinist'; 'poultry processor'; 'jig and tool fitter'; 'supervisor of typists'; 'accounts clerk'; rather than general titles like 'machinist', 'process worker'; 'supervisor' or 'clerk'. Give rank or grade if the person has one.
At b, write down the main things the person actually does or did in the job. If possible ask him/her to say what these things are and write them down.
Armed Forces - enter 'commissioned officer' or 'other rank' as appropriate at a, and leave b blank.
Civil Servants - give grade at a and discipline or specialism, for example 'electric engineer'; 'accountant'; 'chemist'; 'administrator' at b.
a Full job title ________
b Main things done in job ________
Persons age 16+ who worked within last 10 year
1
General administrators; national government; general managers; large companies and organisations
2
Local government officers (administrative and executive functions)
3
General administrators; national government
4
Production, works and maintenance managers
5
Managers in building and contracting
6
Clerks of works
7
Managers in mining and energy industries
8
Treasurers and company financial managers
9
Marketing and sales managers
10
Purchasing managers
11
Advertising and public relations manager
12
Personnel, training and industrial relations managers
13
organisation and methods and work study managers
14
Computer systems and data processing managers
15
Company secretaries
16
Credit controllers
17
Bank, building society and post office managers (except self-employed)
18
Civil service executive officers
19
Other financial institution and office managers n.e.c.
20
Transport managers
21
Stores controllers
22
Managers in warehousing and other materials handling
23
Officers in United Kingdom armed forces; officers in foreign and Commonwealth armed forces
24
Police officers (inspector and above); fire service officers (station officer and above); prison officers (principal officer and above); customs and excise, immigration service officers (customs: chief preventative officer and above; excise: surveyor[...]
25
Farm owners and managers, horticulturalists
26
Other managers in farming, horticulture, forestry and fishing n.e.c.
27
Property and estate managers
28
Garage managers and proprietors
29
Hairdressers' and barbers' managers and proprietors
30
Hotel and accommodation managers
31
Restaurant and catering managers
32
Publicans, innkeepers and club stewards
33
Entertainment and sports managers
34
Travel agency managers
35
Managers and proprietors of butchers and fishmongers
36
Managers and proprietors in service industries n.e.c.
37
Officials of trade associations, trade unions, professional bodies and charities
38
Registrars and administrators of educational establishments
39
Other managers and administrators n.e.c.
40
Chemists
41
Biological scientists and biochemists
42
Physicists, geologists and meteorologists
43
Other natural scientists n.e.c.
44
Civil, structural, municipal, mining and quarrying engineers
45
Mechanical engineers
46
Electrical engineers
47
Electronic engineers
48
Software engineers
49
Chemical engineers
50
Design and development engineers
51
Process and production engineers
52
Planning and quality control engineers
53
Other engineers and technologists n.e.c.
54
Medical practitioners
55
Pharmacists/pharmacologists
56
Ophthalmic opticians
57
Dental practitioners
58
Veterinarians
59
University and polytechnic teaching professionals
60
Higher and further education teaching professionals
61
Education officers, school inspectors
62
Secondary (and middle school deemed secondary) education teaching professionals
63
Primary (and middle school deemed primary) and nursery education teaching professionals
64
Special education teaching professionals
65
Other teaching professionals n.e.c.
66
Judges and officers of the Court; barristers and advocates
67
Solicitors
68
Chartered and certified accountants
69
Management accountants
70
Actuaries, economists and statisticians
71
Management consultants, business analysts
72
Architects
73
Town planners
74
Building, land, mining and 'general practice' surveyors
75
Librarians
76
Archivists and curators
77
Psychologists; other social and behavioural scientists
78
Clergy
79
Social workers, probation officers
80
Laboratory technicians
81
Engineering technicians
82
Electrical/electronic technicians
83
Architectural and town planning technicians
84
Building and civil engineering technicians
85
Other scientific technicians n.e.c.
86
Draughtspersons
87
Building inspectors
88
Marine, insurance and other surveyors
89
Quantity surveyors
90
Computer analyst/programmers
91
Air traffic planners and controllers
92
Aircraft flight deck officers
93
Nurses
94
Midwives
95
Medical radiographers
96
Physiotherapists
97
Chiropodists
98
Dispensing opticians
99
Medical technicians, dental auxiliaries
100
Occupational and speech therapists, psychotherapists, therapists n.e.c.
101
Environmental health officers
102
Other health associate professionals n.e.c.
103
Legal service and related occupations
104
Estimators, valuers
105
Underwriters, claims assessors, brokers, investment analysts
106
Taxation experts
107
Personnel and industrial relations officers
108
Organisation and methods and work study officers
109
Matrons, houseparents
110
Welfare, community and youth workers
111
Authors, writers, journalists
112
Artists, commercial artists, graphic designers
113
Industrial designers
114
Clothing designers
115
Actors, entertainers, stage managers, producers and directors; musicians; professional athletes, sports officials
116
Photographers, camera, sound and video equipment operators
117
Information officers and technical librarians
118
Vocational and industrial trainers; careers advisers and vocational guidance specialists
119
Driving instructors (excluding HGV)
120
Inspectors of factories, utilities and trading standards
121
Other statutory and similar inspectors n.e.c.
122
Occupational hygienists and safety officers (health and safety)
123
Other associate professional and technical occupations n.e.c.
124
Civil Service administrative officers and assistants
125
Local government clerical officers and assistants
126
Accounts and wages clerks, book-keepers, other financial clerks
127
Counter clerks and cashiers
128
Debt, rent and other cash collectors
129
Filing, computer and other records clerks (inc. legal conveyancing)
130
Library assistants/clerks
131
Clerks (n.o.s.)
132
Stores, despatch and production control clerks
133
Storekeepers and warehousemen
134
Medical secretaries
135
Legal secretaries
136
Typists and word processor operators
137
Other secretaries, personal assistants, typists, word processor operators n.e.c.
138
Receptionists
139
Receptionist/telephonists
140
Telephone operators
141
Radio and telegraph operators, other office communication system operators
142
Computer operators, data processing operators, other office machine operators
143
Tracers, drawing office assistants
144
Bricklayers, masons
145
Roofers, slaters, tilers, sheeters, cladders
146
Plasterers
147
Glaziers
148
Builders, building contractors
149
Scaffolders, stagers, steeplejacks, riggers
150
Floorers, floor coverers, carpet fitters and planners, floor and wall tilers
151
Painters and decorators
152
Other construction trades n.e.c.
153
Centre, capstan, turret and other lathe setters and setter-operators
154
Boring and drilling machine setters and setter-operators
155
Grinding machine setters and setter-operators
156
Milling machine setters and setter-operators
157
Press setters and setter-operators
158
Tool makers, tool fitters and markers-out
159
Metal working production and maintenance fitters
160
Precision instrument makers and repairers
161
Goldsmiths, silversmiths, precious stone workers
162
Other machine tool setters and setter-operators n.e.c. (including CNC setter-operators)
163
Production fitters (electrical/electronic)
164
Electricians, electrical maintenance fitters
165
Electrical engineers (not professional)
166
Telephone fitters
167
Cable jointers, lines repairers
168
Radio, TV and video engineers
169
Computer engineers, installation and maintenance
170
Other electrical/electronic trades n.e.c.
171
Smiths and forge workers
172
Moulders, core makers, die casters
173
Plumbers, heating and ventilating engineers and related trades
174
Sheet metal workers
175
Metal plate workers, shipwrights, riveters
176
Steel erectors
177
Barbenders, steel fixers
178
Welding trades
179
Motor mechanics, auto engineers (inc. road patrol engineers)
180
Coach and vehicle body builders
181
Vehicle body repairers, panel beaters
182
Auto electricians
183
Tyre and exhaust fitters
184
Weavers
185
Knitters
186
Warp preparers, bleachers, dyers and finishers
187
Sewing machinists, menders, darners and embroiderers
188
Coach trimmers, upholsterers and mattress makers
189
Shoe repairers, leather cutters and sewers, footwear lasters, makers and finishers, other leather making and repairing
190
Tailors and dressmakers
191
Clothing cutters, milliners, furriers
192
Other textiles, garments and related trades n.e.c.
193
Originators, compositors and print preparers
194
Printers
195
Bookbinders and print finishers
196
Screen printers
197
Other printing and related trades n.e.c.
198
Carpenters and joiners
199
Cabinet makers
200
Case and box makers
201
Pattern makers (moulds)
202
Other woodworking trades n.e.c.
203
Bakers, flour confectioners
204
Butchers, meat cutters
205
Fishmongers, poultry dressers
206
Glass product and ceramics makers
207
Glass product and ceramic finishers and decorators
208
Dental technicians
209
Musical instrument makers, piano tuners
210
Gardeners, groundsmen
211
Horticultural trades
212
Coach painters, other spray painters
213
Face trained coalmining workers, shotfirers and deputies
214
Office machinery mechanics
215
Other craft and related occupations n.e.c.
216
NCOs and other ranks, United Kingdom armed forces
217
NCOs and other ranks, foreign and Commonwealth armed forces
218
Police officers (sergeant and below)
219
Fire service officers (leading fire officer and below)
220
Prison service officers (below principal officer)
221
Customs and excise officers, immigration officers (customs: below chief preventive officer; excise: below surveyor)
222
Traffic wardens
223
Security guards and related occupations
224
Other security and protective service occupations n.e.c.
225
Chefs, cooks
226
Waiters, waitresses
227
Bar staff
228
Travel and flight attendants
229
Railway station staff
230
Assistant nurses, nursing auxiliaries
231
Hospital ward assistants
232
Ambulance staff
233
Dental nurses
234
Care assistants and attendants
235
Nursery nurses
236
Playgroup leaders
237
Educational assistants
238
Other childcare and related occupations n.e.c.
239
Hairdressers, barbers
240
Beauticians and related occupations
241
Domestic housekeepers and related occupations
242
Housekeepers (non-domestic)
243
Caretakers
244
Launderers, dry cleaners, pressers
245
Undertakers
246
Bookmakers
247
Other personal and protective service occupations n.e.c.
248
Buyers (retail trade)
249
Buyers and purchasing officers (not retail)
250
Importers and exporters; air, commodity and ship brokers
251
Technical and wholesale sales representatives
252
Other sales representatives n.e.c.
253
Sales assistants
254
Retail cash desk and check-out operators
255
Petrol pump forecourt attendants
256
Collector salesmen and credit agents
257
Roundsmen and van salesmen
258
Market and street traders and assistants
259
Scrap dealers, scrap metal merchant
260
Merchandisers
261
Window dressers, floral arrangers
262
Telephone salesmen
263
Bakery and confectionery process operatives
264
Brewery and vinery process operatives
265
Tobacco process operatives
266
Other food, drink and tobacco process operatives n.e.c.
267
Tannery production operatives
268
Preparatory fibre processors
269
Spinners, doublers, twisters
270
Winders, reelers
271
Other textiles processing operatives
272
Chemical, gas and petroleum process plant operatives
273
Paper, wood and related process plant operatives
274
Cutting and slitting machine operatives (paper products etc.)
275
Glass and ceramics furnace operatives, kilnsetters
276
Rubber process operatives, moulding machine operatives, tyre builders
277
Plastics process operatives, moulders and extruders
278
Synthetic fibre makers
279
Other chemicals, paper, plastics and related process operatives n.e.c.
280
Furnace operatives (metal)
281
Metal drawers
282
Rollers
283
Annealers, hardeners, temperers (metal)
284
Electroplaters, galvanisers, colour coaters
285
Other metal making and treating process operatives n.e.c.
286
Machine tool operatives (inc. CNC machine tool operatives)
287
Press stamping and automatic machine operatives
288
Metal polishers
289
Metal dressing operatives
290
Shot blasters
291
Assemblers/lineworkers (electrical/electronic goods)
292
Assemblers/lineworkers (vehicles and other metal goods)
293
Other assemblers/lineworkers n.e.c.
294
Inspectors, viewers and testers (metal and electrical goods)
295
Inspectors, viewers, testers and examiners (other manufactured goods)
296
Packers, bottlers, canners, fillers
297
Weighers, graders, sorters
298
Routine laboratory testers
299
Other routine process operatives n.e.c.
300
Bus inspectors
301
Road transport depot inspectors and related occupations
302
Drivers of road goods vehicles
303
Bus and coach drivers
304
Taxi, cab drivers and chauffeurs
305
Bus conductors
306
Seafarers (merchant navy); barge, lighter and boat operatives
307
Rail transport inspectors, supervisors and guards
308
Rail engine drivers and assistants
309
Rail signal operatives and crossing keepers
310
Shunters and points operatives
311
Mechanical plant drivers and operatives (earth moving and civil engineering)
312
Crane drivers
313
Fork lift and mechanical truck drivers
314
Other transport and machinery operatives n.e.c.
315
Washers, screeners and crushers in mines and quarries
316
Printing machine minders and assistants
317
Water and sewerage plant attendants
318
Electrical, energy, boiler and related plant operatives and attendants
319
Oilers, greasers, lubricators
320
Mains and service pipe layers, pipe jointers
321
Construction and related operatives
322
Woodworking machine operatives
323
Mine (excluding coal) and quarry workers
324
Other plant and machine operatives n.e.c.
325
Farm workers
326
Agricultural machinery drivers and operatives
327
All other occupations in farming and related
328
Fishing and related workers
329
Forestry workers
330
Coal mine labourers
331
Labourers in foundries
332
Labourers in engineering and allied trades
333
Mates to metal/electrical and related fitters
334
Other labourers in making and processing industries n.e.c.
335
Mates to woodworking trades workers; mates to building trades workers
336
Rail construction and maintenance workers
337
Road construction and maintenance workers
338
Paviors, kerb layers
339
Other building and civil engineering labourers n.e.c.
340
Stevedores, dockers
341
Goods porters
342
Slingers
343
Refuse and salvage collectors
344
Driver's mates
345
Postal workers, mail sorters
346
Messengers, couriers
347
Hospital porters
348
Hotel porters
349
Kitchen porters, hands
350
Counterhands, catering assistants
351
Shelf fillers
352
Lift and car park attendants
353
Window cleaners
354
Road sweepers
355
Cleaners, domestics
356
Other occupations in sales and services n.e.c.
357
All other labourers and related workers
358
All others in miscellaneous occupations n.e.c.
998
Unknown
999
NIU (not in universe)
This variable indicates the person's occupational classification.
Work: Occupation Variables -- PERSON
IPUMS
Number of higher qualifications
Number of higher qualifications
Number of higher qualifications
Number of higher qualifications
Number of higher qualifications
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
19. Degrees, professional and vocational qualifications
Has the persons obtained any qualifications after reaching the age of 18 such as:
- degrees, diplomas, HNC, HND,
- nursing qualifications,
- teaching qualifications (see * below),
- graduate or corporate membership of professional institutions,
- other professional, educational or vocational qualifications?
Do not count qualifications normally obtained at school such as GCE, CSE, GCSE, SCE and school certificates.
If box 2 is ticked, write in all qualifications even if they are not relevant to the person's present job or if the person is not working.
Please list the qualifications in the order in which they were obtained.
If more than three, please enter in a spare column and link with an arrow.
* For a person with school teaching qualifications, give the full title of the qualifications such as 'Certificate or Educations' and the subject(s) which the person is qualified to teach. The subject 'education' should the only be shown if the course had no other subject specialization.
[] 1 No - no such qualifications
[] 2 Yes - give details
1
Title ____
Subject(s) ____
Year ____
Institutions ____
2
Title ____
Subject(s) ____
Year ____
Institutions ____
3
Title ____
Subject(s) ____
Year ____
Institutions ____
All persons
No higher qualification
1
One higher qualification
2
Two or more higher qualifications
This variable indicates the number of higher qualifications the person has.
Education Variables -- PERSON
IPUMS
Level of highest qualification
Level of highest qualification
Level of highest qualification
Level of highest qualification
Level of highest qualification
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
19. Degrees, professional and vocational qualifications
Has the persons obtained any qualifications after reaching the age of 18 such as:
- degrees, diplomas, HNC, HND,
- nursing qualifications,
- teaching qualifications (see * below),
- graduate or corporate membership of professional institutions,
- other professional, educational or vocational qualifications?
Do not count qualifications normally obtained at school such as GCE, CSE, GCSE, SCE and school certificates.
If box 2 is ticked, write in all qualifications even if they are not relevant to the person's present job or if the person is not working.
Please list the qualifications in the order in which they were obtained.
If more than three, please enter in a spare column and link with an arrow.
* For a person with school teaching qualifications, give the full title of the qualifications such as 'Certificate or Educations' and the subject(s) which the person is qualified to teach. The subject 'education' should the only be shown if the course had no other subject specialization.
[] 1 No - no such qualifications
[] 2 Yes - give details
1
Title ____
Subject(s) ____
Year ____
Institutions ____
2
Title ____
Subject(s) ____
Year ____
Institutions ____
3
Title ____
Subject(s) ____
Year ____
Institutions ____
Persons with higher qualifications
1
Level a
2
Level b
3
Level c
9
NIU (not in universe)
This variable indicates the person's level of highest qualification.
Education Variables -- PERSON
IPUMS
Subject of highest qualification
Subject of highest qualification
Subject of highest qualification
Subject of highest qualification
Subject of highest qualification
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
19. Degrees, professional and vocational qualifications
Has the persons obtained any qualifications after reaching the age of 18 such as:
- degrees, diplomas, HNC, HND,
- nursing qualifications,
- teaching qualifications (see * below),
- graduate or corporate membership of professional institutions,
- other professional, educational or vocational qualifications?
Do not count qualifications normally obtained at school such as GCE, CSE, GCSE, SCE and school certificates.
If box 2 is ticked, write in all qualifications even if they are not relevant to the person's present job or if the person is not working.
Please list the qualifications in the order in which they were obtained.
If more than three, please enter in a spare column and link with an arrow.
* For a person with school teaching qualifications, give the full title of the qualifications such as 'Certificate or Educations' and the subject(s) which the person is qualified to teach. The subject 'education' should the only be shown if the course had no other subject specialization.
[] 1 No - no such qualifications
[] 2 Yes - give details
1
Title ____
Subject(s) ____
Year ____
Institutions ____
2
Title ____
Subject(s) ____
Year ____
Institutions ____
3
Title ____
Subject(s) ____
Year ____
Institutions ____
Persons with higher qualifications
1
Education (nes)
2
Education (without teacher training) and other subject
3
Education with teacher training and other subjects
4
Pre-clinical studies/clinical medicine
5
Pre-clinical dentistry/dentistry
6
Pharmacy/ pharmacology
7
Nursing
8
Ophthalmic optics
9
Other studies allied to medicine and health
10
Combinations of health with subject groups 3-10
11
Aeronautical engineering
12
Chemical engineering (nes)
13
Chemical technology/ fuel technology
14
Civil engineering (nes)
15
Building
16
Electrical engineering
17
Electronics and electronic engineering
18
Mechanical engineering
19
Agricultural engineering/ automobile engineering
20
Marine engineering
21
Naval architecture
22
Production and control engineering (incl)
23
Mining
24
Metallurgy
25
General and other engineering subjects (including combinations)
26
Surveying
27
General technology and manufacture (nes)
28
Clothing and footwear/ textile technology and manufacture
29
Food technology and manufacture
30
Printing and book production
31
Combinations of technology with subject groups 4-10
32
Agriculture
33
Agricultural biology
34
Agricultural chem/forestry/veterinary studs (nes)
35
Biology
36
Botany
37
Zoology
38
Physiology/ anatomy
39
Biochemistry
40
Combinations of biological science
41
Mathematics (nes)
42
(Applied) dynamics, thermodynamics/ maths and physics
43
Statistics
44
Physics
45
Computer science
46
Chemistry
47
Geology
48
Environmental sciences (other than geology)
49
Combinations of physical sci. (except maths and physics)
50
Biology with physical sciences
51
Combinations of science with subject groups 6-10
52
Management studies
53
Business and commerce
54
Secretarial studies
55
Economics
56
Geography
57
Accountancy (including banking and insurance)
58
Government and public administration
59
Law
60
Psychology (including PPP degrees)
61
Sociology and social athropology
62
Combinations of social studies
63
Combinations of social studies with subject groups 7-10
64
Architecture
65
Town and Country planning
66
Catering and institutional management (nes)
67
Home economics
68
Vocational studies (nes)
69
Librarianship and information science
70
Nautical subjects
71
Transport
72
Wholesale and retail/ combinations of vocational subjects
73
English
74
Celtic languages/others in grp 8 (excluding French/German)
75
French
76
French/German
77
German
78
Hispanic/ Russian/ Slavonic/ Oriental/ Asian/ African
79
Other West European languages
80
Classical studies
81
Languages with arts
82
History/ Archaeology
83
Philosophy
84
Theology
85
Arts general
86
Art and design
87
Drama/ combinations with arts and design, drama and music
88
Music
98
Unknown
99
NIU (not in universe)
This variable indicates the person's subject of highest qualification.
Education Variables -- PERSON
IPUMS
Relationship to head of household
Relationship to head of household
Relationship to head of household
Relationship to head of household
Relationship to head of household
5. Relationship in household
Please tick the box which indicates the relationship of each person to the person in the first column. A step child or adopted child should be included as the son or daughter of the step or adoptive parent.
Write in relationship of 'Other relative' - for example, father, daughter-in-law, niece, uncle, cousin
Write in position in household of an 'Unrelated' person for example, boarder, housekeeper, friend, flat mate, foster child.
[Person No 1 does not answer this question. Person 2 - 6 answer as follows:]
Relationship to Person No. 1
[] Husband or wife
[] Living together as a couple
[] Son or daughter
[] Other relative, please specify ________
[] Unrelated, please specify ________
All persons
1
Household head
2
Spouse
3
Cohabitee
4
Son/daughter
5
Child of cohabitee
6
Son/daughter in-law
7
Cohabitee of son/daughter
8
Parent
9
Parent-in-law
10
Brother/sister
11
Brother/sister in-law
12
Grandchild
13
Nephew/niece
14
Other related
15
Boarder/lodger etc
16
Joint head
17
Other unrelated
This variable indicates the person's relationship to the head of household.
Demographic Variables -- PERSON
IPUMS
Resident status
Resident status
Resident status
Resident status
Resident status
6. Whereabouts on night of 21-22 April 1991
Please tick appropriate box to indicate where the person was on the night of 21-22 April 1991.
[] 0 At this address, out on night work or traveling to this address
[] 1 Elsewhere in England, Scotland or Wales
[] 2 Outside Great Britain
7. Usual address
If the person usually lives here, please tick 'This address'. If not, tick 'Elsewhere' and write in the person's usual address.
For students and children away from home during term time, the home address should be taken as the usual address.
For any person who lives away from home for part of the week, the home address should be taken as the usual address.
Any person who is not a permanent member of the household should be asked what he or she considers to be his or her usual address.
[] 1 This address
[] Elsewhere
If elsewhere, please write the person's usual address and postcode below in block capitals
________
Postcode _ _ _ _ - _ _ _
All persons
1
Present resident
2
Absent resident
3
Visitor
This variable indicates the person's resident status, i.e. whether the person is present, absent or is a visitor.
Migration Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
[2] Sex
[] 1 Male
[] 2 Female
All persons
1
Male
2
Female
This variable indicates the person's gender.
Demographic Variables -- PERSON
IPUMS
Social class (based on occupation)
Social class (based on occupation)
Social class (based on occupation)
Social class (based on occupation)
Social class (based on occupation)
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
15. Occupation
Please give the full title of the person's present or lat job and describe the main things he/she does or did in the job.
At a, give the full title by which the job is known, for example: 'packing machinist'; 'poultry processor'; 'jig and tool fitter'; 'supervisor of typists'; 'accounts clerk'; rather than general titles like 'machinist', 'process worker'; 'supervisor' or 'clerk'. Give rank or grade if the person has one.
At b, write down the main things the person actually does or did in the job. If possible ask him/her to say what these things are and write them down.
Armed Forces - enter 'commissioned officer' or 'other rank' as appropriate at a, and leave b blank.
Civil Servants - give grade at a and discipline or specialism, for example 'electric engineer'; 'accountant'; 'chemist'; 'administrator' at b.
a Full job title ________
b Main things done in job ________
Persons age 16+ who worked within last 10 year
NIU (not in universe)
1
I Professional
2
II Managerial and technical
3
IIIN Skilled -- non-manual
4
IIIM Skilled -- manual
5
IV Partly skilled
6
V Unskilled
7
Armed forces
8
Inadequately described
9
Unknown
This variable indicates the person's social class that is based on occupation.
Other Person Variables -- PERSON
IPUMS
Socio-economic group
Socio-economic group
Socio-economic group
Socio-economic group
Socio-economic group
Socio-economic group
Persons age 16+ who worked within last 10 year
1
Employers and managers in large establishments
3
Employers in small establishments
4
Managers in small establishments
5
Professional workers - self employed
6
Professional workers - employees
7
Ancillary workers and artists
8
Foremen and supervisors -- non-manual
9
Junior Non-manual
10
Personal service
11
Foremen and supervisors - manual
12
Skilled manual
13
Semi-skilled manual workers
14
Unskilled manual workers
15
Own account workers other than professionals
16
Farmers - employers and managers
17
Farmers - own account
18
Agricultural workers
19
Members of armed forces
20
Unknown
99
NIU (not in universe)
This variable indicates the person's socio-economic group.
Other Person Variables -- PERSON
IPUMS
Term-time address
Term-time address
Term-time address
Term-time address
Term-time address
8. Term time address of students and school children
If not a student or schoolchild, please tick first box.
For a student or schoolchild who lives here during term time, tick 'This address'.
If he or she does not live here during term time, tick 'Elsewhere' and write in the current or most recent term time address.
[] Not a student or schoolchild
[] 1 This address
[] Elsewhere
If elsewhere, please write the person's usual address and postcode below in block capitals
________
Postcode _ _ _ _ - _ _ _
Students or schoolchildren
1
This address
2
Elsewhere but within SAR region
3
Elsewhere not stated
4
Elsewhere outside SAR region (incl. outside GB)
9
NIU (not in universe)
This variable indicates the term-time address of students and school children. However, there was no separate question in 1991 on student status.
Migration Variables -- PERSON
IPUMS
Mode of transport to work
Mode of transport to work
Mode of transport to work
Mode of transport to work
Mode of transport to work
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
18. Daily journey to work
Please tick the box to show how the longest part, by distance, of the person's daily journey to work is normally made.
for a person using different means of transport on different days, show the means most often used.
Car or van includes three-wheeled cars and motor caravans.
[] 1 British Rail train
[] 2 Underground, tube, metro
[] 3 Bus, minibus or coach (public or private)
[] 4 Motor cycle, scooter, moped
[] 5 Driving a car or van
[] 6 Passenger in a car or van
[] 7 Pedal cycle
[] 8 On foot
[] 9 Other, please specify ____
[] 0 Works mainly at home
Persons age 16+ who worked last week
Works at home
1
British Rail train
2
Underground/ tube/ metro
3
Bus/coach
4
Motor cycle
5
Car - driver
6
Car - passenger
7
Pedal cycle
8
On foot
9
Other
98
Unknown
99
NIU (not in universe)
This variable indicates the mode of transport used by the person to work.
Work Variables -- PERSON
IPUMS
Visitor: area of usual residence
Visitor: area of usual residence
Visitor: area of usual residence
Visitor: area of usual residence
Visitor: area of usual residence
6. Whereabouts on night of 21-22 April 1991
Please tick appropriate box to indicate where the person was on the night of 21-22 April 1991.
[] 0 At this address, out on night work or traveling to this address
[] 1 Elsewhere in England, Scotland or Wales
[] 2 Outside Great Britain
7. Usual address
If the person usually lives here, please tick 'This address'. If not, tick 'Elsewhere' and write in the person's usual address.
For students and children away from home during term time, the home address should be taken as the usual address.
For any person who lives away from home for part of the week, the home address should be taken as the usual address.
Any person who is not a permanent member of the household should be asked what he or she considers to be his or her usual address.
[] 1 This address
[] Elsewhere
If elsewhere, please write the person's usual address and postcode below in block capitals
________
Postcode _ _ _ _ - _ _ _
Visitors
1
North
2
Yorkshire and Humberside
3
East Midlands
4
East Anglia
5
Inner London
6
Outer London
7
Rest of South East
8
South West
9
West Midlands
10
North West
11
Wales
12
Scotland
13
Outside GB
98
Unknown
99
NIU (not in universe)
This variable indicates the visitor's area (SAR region) of usual residence.
Migration Variables -- PERSON
IPUMS
Welsh language
Welsh language
Welsh language
Welsh language
Welsh language
Welsh language
Persons age 3+ from Wales
1
Speaks Welsh
2
Speaks and reads or speaks and writes Welsh
3
Reads or writes or reads and writes Welsh
4
Speaks, reads and writes Welsh
5
Does not know Welsh
8
Unknown
9
NIU (not in universe)
This variable indicates the person's proficiency in Welsh language.
Ethnicity and Language Variables -- PERSON
IPUMS
Workplace
Workplace
Workplace
Workplace
Workplace
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
17. Address of place of work
Please give the full address of the person's place of work.
For a person employed on a site for a long period, give the address of the site.
For a person not working regularly at one place who reports daily to a depot or other fixed address, give that address.
For a person not reporting daily to a fixed address, tick box 1.
For a person working mainly at home, tick box 2.
Armed forces - leave blank.
Please rite full address and postcode of workplace below in block capitals
________
Post-code _ _ _ _ - _ _ _
[] 1 No fixed place
[] 2 Mainly at home
Persons age 16+ who worked last week
1
Working at home (including no fixed place)
2
Working inside SAR region of usual residence
3
Working outside SAR region of usual residence (but in GB)
4
Working outside GB
5
Working inside GB -- usual residence not stated
8
Unknown
9
NIU (not in universe)
This variable indicates the person's workplace.
Work Variables -- PERSON
IPUMS
Subject group of highest qualification
Subject group of highest qualification
Subject group of highest qualification
Subject group of highest qualification
Subject group of highest qualification
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
19. Degrees, professional and vocational qualifications
Has the persons obtained any qualifications after reaching the age of 18 such as:
- degrees, diplomas, HNC, HND,
- nursing qualifications,
- teaching qualifications (see * below),
- graduate or corporate membership of professional institutions,
- other professional, educational or vocational qualifications?
Do not count qualifications normally obtained at school such as GCE, CSE, GCSE, SCE and school certificates.
If box 2 is ticked, write in all qualifications even if they are not relevant to the person's present job or if the person is not working.
Please list the qualifications in the order in which they were obtained.
If more than three, please enter in a spare column and link with an arrow.
* For a person with school teaching qualifications, give the full title of the qualifications such as 'Certificate or Educations' and the subject(s) which the person is qualified to teach. The subject 'education' should the only be shown if the course had no other subject specialization.
[] 1 No - no such qualifications
[] 2 Yes - give details
1
Title ____
Subject(s) ____
Year ____
Institutions ____
2
Title ____
Subject(s) ____
Year ____
Institutions ____
3
Title ____
Subject(s) ____
Year ____
Institutions ____
Persons with higher qualifications
1
Education
2
Health, medicine and dentistry
3
Technology and engineering
4
Agriculture, forestry and veterinary studies
5
Science (including mathematics and applied sciences)
6
Social, administrative, and business studies
7
Vocational (including architecture and other professional studies)
8
Language (literature and area) studies
9
Arts (other than languages and performing arts)
10
Music, Drama and Visual Arts
98
Unknown
99
NIU (not in universe)
This variable indicates the person's subject group of highest qualification.
Education Variables -- PERSON
IPUMS
Industrial classification (SIC divisions)
Industrial classification (SIC divisions)
Industrial classification (SIC divisions)
Industrial classification (SIC divisions)
Industrial classification (SIC divisions)
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
15. Occupation
Please give the full title of the person's present or lat job and describe the main things he/she does or did in the job.
At a, give the full title by which the job is known, for example: 'packing machinist'; 'poultry processor'; 'jig and tool fitter'; 'supervisor of typists'; 'accounts clerk'; rather than general titles like 'machinist', 'process worker'; 'supervisor' or 'clerk'. Give rank or grade if the person has one.
At b, write down the main things the person actually does or did in the job. If possible ask him/her to say what these things are and write them down.
Armed Forces - enter 'commissioned officer' or 'other rank' as appropriate at a, and leave b blank.
Civil Servants - give grade at a and discipline or specialism, for example 'electric engineer'; 'accountant'; 'chemist'; 'administrator' at b.
a Full job title ________
b Main things done in job ________
16. Name and business of employer (if self-employed give the name and nature of the person's business)
At a, please give the name of the employer. Give the trading name if none is used. Do not use abbreviations.
At b, describe clearly what the employer (or the person if self-employed) makes or does (or did).
Armed forces - write 'Armed Forces' at a, and leave b blank. For a member of the Armed Forces of a country other than the UK - add the name of the country.
Civil Servants - give name of Department at a, and write 'Government Department' at b.
Local Government Officer - give name of employing authority at a, and depart in which employed at b.
a Name of employer ________
b Description of employer's business ________
Persons age 16+ who worked within last 10 years
Division 0: Agriculture, forestry and fishing
1
Division 1: Energy and water supply industries
2
Division 2: Extraction of minerals and ores other than fuels; manufacture of metals, mineral products and chemicals
3
Division 3: Metal goods, engineering and vehicle industries
4
Division 4: Other manufacturing industries
5
Division 5: Construction
6
Division 6: Distribution, hotels and catering; repairs
7
Division 7: Transport and Communication
8
Division 8: Banking, finance, insurance, business services and leasing
9
Division 9: Other services
10
Workplace outside UK
98
Unknown
99
NIU (not in universe)
This variable indicates the person's industrial classification (SIC divisions).
Work: Industry Variables -- PERSON
IPUMS
Occupation (SOC major groups)
Occupation (SOC major groups)
Occupation (SOC major groups)
Occupation (SOC major groups)
Occupation (SOC major groups)
15. Occupation
Please give the full title of the person's present or lat job and describe the main things he/she does or did in the job.
At a, give the full title by which the job is known, for example: 'packing machinist'; 'poultry processor'; 'jig and tool fitter'; 'supervisor of typists'; 'accounts clerk'; rather than general titles like 'machinist', 'process worker'; 'supervisor' or 'clerk'. Give rank or grade if the person has one.
At b, write down the main things the person actually does or did in the job. If possible ask him/her to say what these things are and write them down.
Armed Forces - enter 'commissioned officer' or 'other rank' as appropriate at a, and leave b blank.
Civil Servants - give grade at a and discipline or specialism, for example 'electric engineer'; 'accountant'; 'chemist'; 'administrator' at b.
a Full job title ________
b Main things done in job ________
Persons age 16+ who worked within last 10 years
1
Managers and administrators
2
Professional occupations
3
Associate professional and technical occupations
4
Clerical and secretarial occupations
5
Craft and related occupations
6
Personal and protective service occupations
7
Sales occupations
8
Plant and machine operatives
9
Other occupations
98
Unknown
99
NIU (not in universe)
This variable indicates the person's occupation (SOC major groups).
Work: Occupation Variables -- PERSON
IPUMS
Occupation (SOC sub-major groups)
Occupation (SOC sub-major groups)
Occupation (SOC sub-major groups)
Occupation (SOC sub-major groups)
Occupation (SOC sub-major groups)
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
15. Occupation
Please give the full title of the person's present or lat job and describe the main things he/she does or did in the job.
At a, give the full title by which the job is known, for example: 'packing machinist'; 'poultry processor'; 'jig and tool fitter'; 'supervisor of typists'; 'accounts clerk'; rather than general titles like 'machinist', 'process worker'; 'supervisor' or 'clerk'. Give rank or grade if the person has one.
At b, write down the main things the person actually does or did in the job. If possible ask him/her to say what these things are and write them down.
Armed Forces - enter 'commissioned officer' or 'other rank' as appropriate at a, and leave b blank.
Civil Servants - give grade at a and discipline or specialism, for example 'electric engineer'; 'accountant'; 'chemist'; 'administrator' at b.
a Full job title ________
b Main things done in job ________
Persons age 16+ who worked within last 10 years
1
Corporate managers and administrators
2
Managers and propietors in agriculture and services
3
Science and engineering professions
4
Health professions
5
Education professions
6
Other professions
7
Science and engineering
8
Health associate professions
9
Other associate professions
10
Clerical occupations
11
Secretarial occupations
12
Skilled craftsmen
13
Skilled engineering trades
14
Other skilled trades
15
Protective service occupations
16
Personal service occupations
17
Buyers/sale
18
Other sales
19
Industrial plant stationary machine operatives and assemblers
20
Drivers and mobile machinery operators
21
Other occupations in agriculture, forestry and fishing
22
Other elementary occupations
98
Unknown
99
NIU (not in universe)
This variable indicates the person's occupation (SOC sub-major groups).
Work: Occupation Variables -- PERSON
IPUMS
Occupation (SOC sub-minor groups)
Occupation (SOC sub-minor groups)
Occupation (SOC sub-minor groups)
Occupation (SOC sub-minor groups)
Occupation (SOC sub-minor groups)
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
15. Occupation
Please give the full title of the person's present or lat job and describe the main things he/she does or did in the job.
At a, give the full title by which the job is known, for example: 'packing machinist'; 'poultry processor'; 'jig and tool fitter'; 'supervisor of typists'; 'accounts clerk'; rather than general titles like 'machinist', 'process worker'; 'supervisor' or 'clerk'. Give rank or grade if the person has one.
At b, write down the main things the person actually does or did in the job. If possible ask him/her to say what these things are and write them down.
Armed Forces - enter 'commissioned officer' or 'other rank' as appropriate at a, and leave b blank.
Civil Servants - give grade at a and discipline or specialism, for example 'electric engineer'; 'accountant'; 'chemist'; 'administrator' at b.
a Full job title ________
b Main things done in job ________
Persons age 16+ who worked within last 10 years
1
General managers and administrators in national and local government, large companies and organizations
2
Production managers in manufacturing, construction, mining and energy industries
3
Specialist managers
4
Financial institution and office managers, civil service executive officers
5
Managers in transport and storing
6
Protective service officers
7
Managers in farming, horticulture, forestry and fishing
8
Managers and propietors in service industries
9
Managers and administrators not elsewhere classified
10
Natural scientists
11
Engineers and technologists
12
Health professionals
13
Teaching professionals
14
Legal professionals
15
Business and financial professionals
16
Architects, town planners and surveyors
17
Librarians and related professionals
18
Professional occupations n.e.c.
19
Scientific technicians
20
Draughtspersons, quantity and other surveyors
21
Computer analysts and programmers
22
Ship and aircraft officers, air traffic planners and controllers
23
Health associate professionals
24
Legal associate professionals
25
Business and finance associate professionals
26
2637 Social welfare associate professionals
27
Literary, artistic and sports professionals
28
Associate professional and technical occupations n.e.c.
29
Admin/clerical officers and assistants in civil service and local government
30
Numerical clerks and cashiers
31
Filing and records clerks
32
Clerks, not otherwise specified
33
Stores and dispatch clerks, storekeepers
34
Secretaries, personal assistants, typists and word processor operators
35
Receptionists, telephonists and related occupations
36
Clerical and secretarial occupations n.e.c.
37
Construction trades
38
Metal machining, fitting and instrument making trades
39
Electrical/electronic trades
40
Metal forming, welding and related trades
41
Vehicle trades
42
Textiles, garments and related trades
43
Printing and related trades
44
Woodworking trades
45
Food preparation trades
46
Other craft and related occupations n.e.c.
47
NCOs and other ranks, armed forces
48
Security and protective service occupations
49
Catering occupations
50
Travel attendants and related occupations
51
Health and related occupations
52
Childcare and related occupations
53
Hairdressers, beauticians and related occupations
54
Domestic staff and related occupations
55
Personal and protective service occupations n.e.c.
56
Buyers, brokers and related agents
57
Sales representatives
58
Sales assistants and check-out operators
59
Mobile, market and door-to-door salespersons and agents
60
Sales occupations n.e.c.
61
Food, drink and tobacco process operatives
62
Textiles and tannery process operatives
63
Chemicals, paper, plastics and related process operatives
64
Metal making and treating process operatives
65
Metal working process operatives
66
Assemblers/lineworkers
67
Other routine process operatives
68
Road trasport operatives
69
Other transport and machinery operatives
70
Machinery and plant operatives n.e.c.
71
Other occupations in agriculture, forestry and fishing
72
Other occupations in mining and manufacturing
73
Other occupations in construction
74
Other occupations in transport
75
Other occupations in communication
76
Other occupations in sales and services
77
Other occupations n.e.c.
98
Unknown
99
NIU (not in universe)
This variable indicates the person's occupation (SOC sub-minor groups).
Work: Occupation Variables -- PERSON
IPUMS
Goldthorpe class
Goldthorpe class
Goldthorpe class
Goldthorpe class
Goldthorpe class
15. Occupation
Please give the full title of the person's present or lat job and describe the main things he/she does or did in the job.
At a, give the full title by which the job is known, for example: 'packing machinist'; 'poultry processor'; 'jig and tool fitter'; 'supervisor of typists'; 'accounts clerk'; rather than general titles like 'machinist', 'process worker'; 'supervisor' or 'clerk'. Give rank or grade if the person has one.
At b, write down the main things the person actually does or did in the job. If possible ask him/her to say what these things are and write them down.
Armed Forces - enter 'commissioned officer' or 'other rank' as appropriate at a, and leave b blank.
Civil Servants - give grade at a and discipline or specialism, for example 'electric engineer'; 'accountant'; 'chemist'; 'administrator' at b.
a Full job title ________
b Main things done in job ________
19. Degrees, professional and vocational qualifications
Has the persons obtained any qualifications after reaching the age of 18 such as:
- degrees, diplomas, HNC, HND,
- nursing qualifications,
- teaching qualifications (see * below),
- graduate or corporate membership of professional institutions,
- other professional, educational or vocational qualifications?
Do not count qualifications normally obtained at school such as GCE, CSE, GCSE, SCE and school certificates.
If box 2 is ticked, write in all qualifications even if they are not relevant to the person's present job or if the person is not working.
Please list the qualifications in the order in which they were obtained.
If more than three, please enter in a spare column and link with an arrow.
* For a person with school teaching qualifications, give the full title of the qualifications such as 'Certificate or Educations' and the subject(s) which the person is qualified to teach. The subject 'education' should the only be shown if the course had no other subject specialization.
[] 1 No - no such qualifications
[] 2 Yes - give details
1
Title ____
Subject(s) ____
Year ____
Institutions ____
2
Title ____
Subject(s) ____
Year ____
Institutions ____
3
Title ____
Subject(s) ____
Year ____
Institutions ____
Persons age 16+ who worked within last 10 years
10
Higher-grade professionals
20
Lower-grade professionals
31
Routine non-manual employees in administration and commerce
32
Personal service workers
41
Small proprietors, artisans, etc with employees
42
Small proprietors, artisans, etc without employees
43
Farmers and small holders, self-employed fisherman
50
Lower-grade technicians, supervisors of manual workers
60
Skilled manual workers
71
Semi skilled and unskilled manual workers
72
Agricultural workers
98
Unknown
99
NIU (not in universe)
This variable indicates the goldthorpe class.
Other Person Variables -- PERSON
IPUMS
Lifestages classification
Lifestages classification
Lifestages classification
Lifestages classification
Lifestages classification
Lifestages classification
Persons age 16+
1
Aged 16-24 with no children aged 0-15 in household: in a couple household
2
Aged 16-24 with no children aged 0-15 in household: not in a couple household
3
Aged 16-24 with child(ren) aged 0-15 in household: in a couple household
4
Aged 16-24 with child(ren) aged 0-15 in household: not in a couple household
5
Aged 25-34 with no children aged 0-15 in household: in a couple household
6
Aged 25-34 with no children aged 0-15 in household: not in a couple household
7
Aged 25-34 with children aged 0-4 in household: in a couple household
8
Aged 25-34 with children aged 0-4 in household: not in a couple household
9
Aged 25-34, with youngest child aged 5-10 in household: in a couple household
10
Aged 25-34, with youngest child aged 5-10 in household: not in a couple household
11
Aged 25-34, with youngest child aged 11-15 in household: in a couple household
12
Aged 25-34, with youngest child aged 11-15 in household: not in a couple household
13
Aged 35-54 with no children aged 0-15 in household: in a couple household.
14
Aged 35-54 with no children aged 0-15 in household: not in a couple household.
15
Aged 35-54 with children aged 0-4 in household: in a couple household
16
Aged 35-54 with children aged 0-4 in household: not in a couple household
17
Aged 35-54, with youngest child aged 5-10 in household: in a couple household
18
Aged 35-54, with youngest child aged 5-10 in household: not in a couple household
19
Aged 35-54, with youngest child aged 11-15 in household: in a couple household
20
Aged 35-54, with youngest child aged 11-15 in household: not in a couple household
21
Aged 55 to pensionable age - working or retired: in a couple household
22
Aged 55 to pensionable age -- working or retired: not in a couple household
23
Aged 55 to pensionable age -- unemployed/ economically inactive: in a couple household
24
Aged 55 to pensionable age -- unemployed/ economically inactive: not in a couple
25
Aged pensionable age to 74: in a couple household
26
Aged pensionable age to 74: not in a couple household
27
Aged 75 and over: in a couple household
28
Aged 75 and over: not in a couple household
98
Unknown
99
NIU (not in universe)
This variable indicates the lifestages' classification.
Other Person Variables -- PERSON
IPUMS
Class schema used in women and employment survey
Class schema used in women and employment survey
Class schema used in women and employment survey
Class schema used in women and employment survey
Class schema used in women and employment survey
Class schema used in women and employment survey
Persons age 16+ who worked within last 10 years
Armed forces
1
Professional
2
Teachers
3
Nurse, med, social
4
Other intermed.
5
Clerical and secretarial
6
Shop asst, sales
7
Skilled
8
Semi-skill factory
9
Semi-skill domestic
10
Other semi-skilled
11
Unskilled
98
Unknown
99
NIU (not in universe)
This variable indicates the class schema used in women and employment survey.
Work Variables -- PERSON
IPUMS
Mean hourly earning derived from New Earnings Survey, 1991
Mean hourly earning derived from New Earnings Survey, 1991
Mean hourly earning derived from New Earnings Survey, 1991
Mean hourly earning derived from New Earnings Survey, 1991
Mean hourly earning derived from New Earnings Survey, 1991
Mean hourly earning derived from New Earnings Survey, 1991
Persons age 16+ who worked last week
This variable indicates the mean hourly earning derived from New Earnings Survey, 1991.
UK91A445 is a 4-digit numeric variable.
9998 = Unknown
9999 = NIU (not in universe)
Income Variables -- PERSON
IPUMS
New Earning Survey standard error
New Earning Survey standard error
New Earning Survey standard error
New Earning Survey standard error
New Earning Survey standard error
New Earning Survey standard error
Persons age 16+ who worked within last 10 years
This variable indicates the New Earning Survey standard error.
UK91A446 is a 4-digit numeric variable.
9998 = Unknown
9999 = NIU (not in universe)
Other Person Variables -- PERSON
IPUMS
Mean earnings from New Earnings Survey, for previously working persons
Mean earnings from New Earnings Survey, for previously working persons
Mean earnings from New Earnings Survey, for previously working persons
Mean earnings from New Earnings Survey, for previously working persons
Mean earnings from New Earnings Survey, for previously working persons
Mean earnings from New Earnings Survey, for previously working persons
Universe unknown
This variable indicates the mean hourly earnings from New Earnings Survey, 1991.
UK91A447 is a 4-digit numeric variable.
9998 = Unknown
9999 = NIU (not in universe)
Income Variables -- PERSON
IPUMS
International standard classification of occupations, 1 digit
International standard classification of occupations, 1 digit
International standard classification of occupations, 1 digit
International standard classification of occupations, 1 digit
International standard classification of occupations, 1 digit
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
15. Occupation
Please give the full title of the person's present or lat job and describe the main things he/she does or did in the job.
At a, give the full title by which the job is known, for example: 'packing machinist'; 'poultry processor'; 'jig and tool fitter'; 'supervisor of typists'; 'accounts clerk'; rather than general titles like 'machinist', 'process worker'; 'supervisor' or 'clerk'. Give rank or grade if the person has one.
At b, write down the main things the person actually does or did in the job. If possible ask him/her to say what these things are and write them down.
Armed Forces - enter 'commissioned officer' or 'other rank' as appropriate at a, and leave b blank.
Civil Servants - give grade at a and discipline or specialism, for example 'electric engineer'; 'accountant'; 'chemist'; 'administrator' at b.
a Full job title ________
b Main things done in job ________
Persons age 16+ who worked within last 10 years
Armed forces
1
Legislators, senior officials and managers
2
Professionals
3
Technicians and associate professionals
4
Clerks
5
Service workers and shop and market sales workers
6
Skilled agricultural and fishery workers
7
Craft and related trades workers
8
Plant and machine operators and assemblers
9
Elementary occupations
98
Unknown
99
NIU (not in universe)
This variable indicates the international standard classification of occupations, 1 digit.
Work: Occupation Variables -- PERSON
IPUMS
International standard classification of occupations, 2 digit
International standard classification of occupations, 2 digit
International standard classification of occupations, 2 digit
International standard classification of occupations, 2 digit
International standard classification of occupations, 2 digit
International standard classification of occupations, 2 digit
Persons age 16+ who worked within last 10 years
1
Armed forces
11
Legislators and senior officials
12
Corporate managers
13
General managers
21
Physical, mathematical and engineering professionals
22
Life science and health professionals
23
Teaching professionals
24
Other professionals
31
Physical science and engineering associate professionals
32
Life science and health associate professionals
33
Teaching associate professionals
34
Other associate professionals
41
Office clerks
42
Customer service clerks
51
Personal and protective services workers
52
Salespersons, demonstrators and models
61
Market-orientated skilled agricultural and fishery workers
62
Subsistence agricultural and fishery workers
71
Extraction and building trades workers
72
Metal and machinery trades workers
73
Precision, handicraft, printing and related trades workers
74
Other craft and related workers
81
Industrial plant operators
82
Stationary machine operators and assemblers
83
Drivers and mobile machinery operators
91
Sales and services elementary occupations
92
Agricultural, fishery and related labourers
93
Labourers in mining, construction, manufacturing and transport
98
Unknown
99
NIU (not in universe)
This variable indicates the international standard classification of occupations, 2 digit.
Work: Occupation Variables -- PERSON
IPUMS
International standard classification of occupations, 3 digit
International standard classification of occupations, 3 digit
International standard classification of occupations, 3 digit
International standard classification of occupations, 3 digit
International standard classification of occupations, 3 digit
Answer to the remaining questions are not required for any person under 16 years of age (born after 21st April 1975)
[Applies to questions 13 - 19]
[Questions 14 - 18 were asked of persons who currently have or have had a job in the last 10 years]
15. Occupation
Please give the full title of the person's present or lat job and describe the main things he/she does or did in the job.
At a, give the full title by which the job is known, for example: 'packing machinist'; 'poultry processor'; 'jig and tool fitter'; 'supervisor of typists'; 'accounts clerk'; rather than general titles like 'machinist', 'process worker'; 'supervisor' or 'clerk'. Give rank or grade if the person has one.
At b, write down the main things the person actually does or did in the job. If possible ask him/her to say what these things are and write them down.
Armed Forces - enter 'commissioned officer' or 'other rank' as appropriate at a, and leave b blank.
Civil Servants - give grade at a and discipline or specialism, for example 'electric engineer'; 'accountant'; 'chemist'; 'administrator' at b.
a Full job title ________
b Main things done in job ________
Persons age 16+ who worked within last 10 years
10
Armed forces
111
Legislators
112
Senior government officials
113
Traditional chiefs and heads of villages
114
Senior officials of special-interest organisations
121
Directors and chief executives
122
Specialised managers [Dept. managers; large enterprise; production-operation]
123
Other dept. manager [large enterprise]
131
General managers
211
Physicists, chemists and related professionals
212
Mathematicians, statisticians and related professionals
213
Computing professionals
214
Architects, engineers and related professionals
221
Life science professionals
222
Health professionals (except nursing)
223
Nursing and midwifery professionals
231
College, university and higher education teaching professionals
232
Secondary education teaching professionals
233
Primary and pre-primary education teaching professionals
234
Special education teaching professionals
235
Other teaching professionals
241
Business professionals
242
Legal professionals
243
Archivists, librarians and related information professionals
244
Social and related science professionals
245
Writers and creative and performing artists
246
Religion professionals
247
Other professionals
311
Physical science and engineering technicians
312
Computer assistants and computer equipment controllers
313
Optical and electronic equipment controllers
314
Ship and aircraft controllers and technicians
315
Building, safety, health and quality inspectors
321
Life science technicians and related workers
322
Modern health associate professionals (except nursing)
323
Nursing and midwifery associate professionals
324
Traditional medicine practitioners and faith healers
331
Primary education teaching associate professionals
332
Pre-primary education teaching associate professionals
333
Special education teaching associate professionals
334
Other teaching associate professionals
341
Finance and sales associate professionals
342
Business services agents and trade brokers
343
Adiminstrative associate professionals
344
Customs, tax etc. government assoicate professionals
345
Police and army officers
346
Social work associate professionals
347
Artistic, entertainment and sports associate professionals
411
Secretaries and keyboard operating clerks
412
Numerical clerks
413
Material recording and transport clerks
414
Library, mail and related clerks
419
Other office clerks
421
Cashiers, tellers and related clerks
422
Client information clerks
511
Travel attendants and guides
512
Housekeeping and restaurant services workers
513
Personal care workers
514
Other personal services workers
515
Astrologers, fortunetellers and related workers
516
Protective services workers
521
Shop salesperson and demonstrators
522
Stall and market salespersons
523
Fashion and other models
611
Market gardeners and crop growers
612
Market-oriented animal producers
613
Market oriented crop and animal producers
614
Forestry and related workers
615
Fishery workers, hunters and trappers
621
Subsistence agricultural, fishery and related workers
711
Miners and blasters, stone cutters and carvers
712
Building frame and related trades workers
713
Building finishers and related trades workers
714
Paitners, buildiing structure cleaners and related workers
721
Metal moulders, welders, sheet-metal workers, structural metal preparer and related workers
722
Blacksmiths, toolmaker and related workers
723
Machinery mechanic and fitters
724
Electrical and electronic instrument mechanic and fitters
731
Precision workers in metal and related materials
732
Potters, glass formers and related workers
733
Handicraft workers in wood, textile, leather and related materials
734
Printing and related trades workers
741
Food and related products processing trades workers
742
Cabinet makers, wood treaters and related trades workers
743
Textile and garment trades workers
744
Pelt, leather and shoemaking trades workers
811
Mining and mineral-processing plant operators
812
Metal-processing plant operators
813
Glass and ceramics kiln and related plant operators
814
Wood-processing and npapermaking plant operators
815
Chemical processing plant operators
816
Power-generating and related plant operators
817
Automated assembly-line and industrial robot operators
821
Metal and mineral products processing machine operators
822
Chemical products machine operators
823
Rubber and plastics products machine operators
824
Wood products machine operators
825
Printing, binding and paper products machine operators
826
Textile products machine operators
827
Food and related products processing machine operators
828
Assemblers
829
Other stationary machine operators and assemblers
831
Railway engine drivers and related workers
832
Motor vehicle drivers
833
Agricultural, earthmoving, lifting and other mobile materials-handling equipment operators
834
Ships' deck crews and related workers
911
Street vendors and related workers
912
Shoe cleaning and other street services elementary occupations
913
Domestic helpers and cleaners and related workers
914
Building caretakers and window cleaners
915
Messenger, watchers and security workers
916
Garbage collectors and related labourers
921
Agricultural, fishery and related labourers
931
Mining and construction labourers
932
Manufacturing labourers
933
Transport labourers
998
Unknown
999
NIU (not in universe)
This variable indicates the international standard classification of occupations, 3 digit.
Work: Occupation Variables -- PERSON
IPUMS
Standard international occupational scale
Standard international occupational scale
Standard international occupational scale
Standard international occupational scale
Standard international occupational scale
Standard international occupational scale
Persons age 16+ who worked within last 10 years
13
13
16
16
19
19
20
20
21
21
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
36
36
37
37
38
38
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
49
49
50
50
51
51
52
52
54
54
56
56
57
57
58
58
60
60
62
62
63
63
64
64
69
69
73
73
78
78
97
Armed forces
98
Unknown
99
NIU (not in universe)
This variable indicates the standard international occupational scale.
Work: Occupation Variables -- PERSON
IPUMS
International socio-economic index of occupational status
International socio-economic index of occupational status
International socio-economic index of occupational status
International socio-economic index of occupational status
International socio-economic index of occupational status
International socio-economic index of occupational status
Persons age 16+ who worked within last 10 years
16
16
20
20
21
21
22
22
23
23
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
38
38
39
39
40
40
43
43
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
61
61
65
65
66
66
67
67
69
69
71
71
73
73
74
74
77
77
78
78
85
85
97
Armed forces
98
Unknown
99
NIU (not in universe)
This variable indicates the international socio-economic index of occupational status.
Other Person Variables -- PERSON
IPUMS
Type of minimal household unit
Type of minimal household unit
Type of minimal household unit
Type of minimal household unit
Type of minimal household unit
Type of minimal household unit
All persons
Visitors in households
1
MHU type 1: Unmarried adult (including non-dependent children and lone parents with non-dependent children)
2
MHU type 2: One parent family with dependent children
3
MHU type 3: Married couple with no dependent children
4
MHU type 4: Cohabitating couple with no dependent children
5
MHU type 5: Married couple with dependent children
6
MHU type 6: Cohabitating couple with dependent children
9
Unknown
This variable indicates the type of minimal household unit.
Other Person Variables -- PERSON
IPUMS
Position in minimal household unit
Position in minimal household unit
Position in minimal household unit
Position in minimal household unit
Position in minimal household unit
Position in minimal household unit
All persons
Visitor
1
Person in MHU type 1
2
Mother in MHU type 2
3
Father in MHU type 2
4
Dependent child with mother in MHU type 2
5
Dependent child with father in MHU type 2
6
Husband in MHU type 3
7
Wife in MHU type 3
8
Male partner in MHU type 4
9
Female partner in MHU type 4
10
Husband in MHU type 5
11
Wife in MHU type 5
12
Male partner in MHU type 6
13
Female partner in MHU type 6
14
Dependent child in MHU type 5
15
Dependent child in MHU type 6
99
Unknown
This variable indicates the position in minimal household unit.
Other Person Variables -- PERSON
IPUMS
Combinations of minimal household units
Combinations of minimal household units
Combinations of minimal household units
Combinations of minimal household units
Combinations of minimal household units
Combinations of minimal household units
All persons
Visitor
1
One person household
2
One parent family with dependent children only
3
Married couple only
4
Cohabiting couple only
5
Married couple with dependent children only
6
Cohabiting couple with dependent children only
7
Households with more than one non-family person, no families.
8
One parent family with dependent and non-dependent children
9
One parent family with dependent children and other adults
10
One parent family with dependent and non-dependent children and other adults
11
One parent family with non-dependent children only
12
One parent family with non-dependent children and other adults
13
Married couple with non-dependent children only
14
Cohabiting couple with non-dependent children only
15
Married couple with other adults only
16
Cohabiting couple with other adults only
17
Married couple with non-dependent children and other adults
18
Cohabiting couple with non-dependent children and other adults
19
Married couple with dependent and non-dependent children
20
Cohabiting couple with dependent and non-dependent children
21
Married couple with dependent children and other adults
22
Cohabiting couple with dependent children and other adults
23
Married couple with dependent and non-dependent children and other adults
24
Cohabiting couple with dependent and non-dependent children and other adults
25
Complex households
99
Unknown
This variable indicates the combinations of minimal household units.
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
Migration status, 1 year
Migration status, 1 year
Migration status, 1 year
Migration status, 1 year
Migration status, 1 year
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
99
Unknown/missing
MIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions.
Migration Variables -- PERSON
IPUMS
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
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