DDI_USA_1990_PHC_v01_M_v02_A_IPUMS
Minnesota Population Center
2016-04-25
NADA
- Version 02 (April 2018). This version is identical to version 6.4 (April 2016), except for the DDI Document ID and ID Number which were updated.
Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.
The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
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 of Population and Housing 1990 - IPUMS Subset
PHC 1990 (IPUMS Harmonized Subset)
USA_1990_PHC_v01_M_v02_A_IPUMS
U.S. Census Bureau
Minnesota Population Center
Minnesota Population Center
(c) Copyright 1990, U.S. Census Bureau and Minnesota Population Center
NADA
U.S. Census Bureau
Population and Housing Census [hh/popcen]
Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.
In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming.
In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.
In this version, geographic variables are significantly revised. IPUMS has developed subnational geographies for each country that are consistent over time and have associated GIS shape files. To distinguish the harmonized and unharmonized geographic variables, which will ultimately be available at the first and second administrative levels for most countries, a new, more systematic variable-naming convention have been imposed. The available geographic variables and their old and new names are described <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Further explanation of the new geographic variables and the GIS boundary files is available <a href='https://international.ipums.org/international/geography_gis.shtml'>here</a>.
Technical Household Variables -- HOUSEHOLD
Group Quarters Variables -- HOUSEHOLD
Geography: Global Variables -- HOUSEHOLD
Geography: M-Z Variables -- HOUSEHOLD
Utilities Variables -- HOUSEHOLD
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Dwelling Characteristics Variables -- HOUSEHOLD
Constructed Household Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Constructed Family Interrelationship Variables -- PERSON
Demographic Variables -- PERSON
Fertility and Mortality Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Ethnicity and Language Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Income Variables -- PERSON
Migration Variables -- PERSON
Disability Variables -- PERSON
Household Economic Variables -- HOUSEHOLD
Other Household Variables -- HOUSEHOLD
Household Imputation Flags Variables -- HOUSEHOLD
Work: Occupation Variables -- PERSON
Other Person Variables -- PERSON
Work: Industry Variables -- PERSON
Person Imputation Flags 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 States
National coverage
PUMAS (Public Use Microdata Areas (PUMAs) containing 100,000 or more residents
Households and Group Quarters
UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: Yes
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
UNIT DESCRIPTIONS:
- Households: Dwelling places with fewer than ten persons unrelated to a household head, excluding institutions and transient quarters.
- Group quarters: Institutions, transient quarters, and dwelling places with ten or more persons unrelated to a household head.
Residents of the 50 states (not the outlying areas).
Census/enumeration data [cen]
UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: Yes
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
UNIT DESCRIPTIONS:
- Households: Dwelling places with fewer than ten persons unrelated to a household head, excluding institutions and transient quarters.
- Group quarters: Institutions, transient quarters, and dwelling places with ten or more persons unrelated to a household head.
MICRODATA SOURCE: U.S. Census Bureau
SAMPLE UNIT: Household
SAMPLE FRACTION: 5%
SAMPLE SIZE (person records): 12,501,046
Face-to-face [f2f]
The 1990 census used a single long-form questionnaire completed by one-half of persons in places with a population under 2,500, one-sixth of persons in other tracts and block numbering areas with fewer than 2,000 housing units, and one-eighth of all other areas. Overall, about one-sixth of housing units completed a long form.
De jure, CENSUS DAY: April 1, 1990
Weights computed by census agency should be used for most types of analysis.
UNDERCOUNT: No official estimates
IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.
To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
IPUMS-International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS-International uses a variety of technical procedures to enhance confidentiality protection. These include the following:
(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.
(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.
(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)
(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.
The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS-International are designed to extend this record.
IPUMS International
Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [dataset]. Minneapolis: University of Minnesota, 2015. http://doi.org/10.18128/D020.V6.4.
Researchers should also acknowledge the statistical agency that originally produced the data:
United States, U.S. Census Bureau, 1990 Census of Population and Housing
The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.
Copies of such materials are also gratefully received at ipums@umn.edu.
Printed matter should be sent to:
IPUMS-International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455
An adapted version of the dataset, harmonized for international comparability, is available from IPUMS-International (https://international.ipums.org/international/) under the following conditions:
IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
USA1990-H-H
Household records
0
132
USA1990-P-H
Person records
0
213
Record type
Record type
Record type
Record type
Record type
RECTYPE identifies the type of record for the case: household or person.
NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types.
Technical Household Variables -- HOUSEHOLD
IPUMS
Year
Year
Year
Year
Year
1960
1960
1962
1962
1963
1963
1964
1964
1966
1966
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
YEAR gives the year in which the census was taken.
Technical Household Variables -- HOUSEHOLD
IPUMS
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
32197001
Argentina 1970
32199101
Argentina 1991
32200101
Argentina 2001
32201001
Argentina 2010
32219801
Argentina 1980
40197101
Austria 1971
40198101
Austria 1981
40199101
Austria 1991
40200101
Austria 2001
40201101
Austria 2011
50199101
Bangladesh 1991
50200101
Bangladesh 2001
50201101
Bangladesh 2011
51200101
Armenia 2001
51201101
Armenia 2011
68197601
Bolivia 1976
68199201
Bolivia 1992
68200101
Bolivia 2001
76196001
Brazil 1960
76197001
Brazil 1970
76198001
Brazil 1980
76199101
Brazil 1991
76200001
Brazil 2000
76201001
Brazil 2010
112199901
Belarus 1999
116199801
Cambodia 1998
116200801
Cambodia 2008
120197601
Cameroon 1976
120198701
Cameroon 1987
120200501
Cameroon 2005
124197101
Canada 1971
124198101
Canada 1981
124199101
Canada 1991
124200101
Canada 2001
152196001
Chile 1960
152197001
Chile 1970
152198201
Chile 1982
152199201
Chile 1992
152200201
Chile 2002
156198201
China 1982
156199001
China 1990
170196401
Colombia 1964
170197301
Colombia 1973
170198501
Colombia 1985
170199301
Colombia 1993
170200501
Colombia 2005
188196301
Costa Rica 1963
188197301
Costa Rica 1973
188198401
Costa Rica 1984
188200001
Costa Rica 2000
188201101
Costa Rica 2011
192200201
Cuba 2002
214196001
Dominican Republic 1960
214197001
Dominican Republic 1970
214198101
Dominican Republic 1981
214200201
Dominican Republic 2002
214201001
Dominican Republic 2010
218196201
Ecuador 1962
218197401
Ecuador 1974
218198201
Ecuador 1982
218199001
Ecuador 1990
218200101
Ecuador 2001
218201001
Ecuador 2010
222199201
El Salvador 1992
222200701
El Salvador 2007
231198401
Ethiopia 1984
231199401
Ethiopia 1994
231200701
Ethiopia 2007
242196601
Fiji 1966
242197601
Fiji 1976
242198601
Fiji 1986
242199601
Fiji 1996
242200701
Fiji 2007
250196201
France 1962
250196801
France 1968
250197501
France 1975
250198201
France 1982
250199001
France 1990
250199901
France 1999
250200601
France 2006
250201101
France 2011
275199701
Palestine 1997
275200701
Palestine 2007
276197001
Germany 1970 (West)
276197101
Germany 1971 (East)
276198101
Germany 1981 (East)
276198701
Germany 1987 (West)
288198401
Ghana 1984
288200001
Ghana 2000
288201001
Ghana 2010
300197101
Greece 1971
300198101
Greece 1981
300199101
Greece 1991
300200101
Greece 2001
324198301
Guinea 1983
324199601
Guinea 1996
332197101
Haiti 1971
332198201
Haiti 1982
332200301
Haiti 2003
348197001
Hungary 1970
348198001
Hungary 1980
348199001
Hungary 1990
348200101
Hungary 2001
356198341
India 1983
356198741
India 1987
356199341
India 1993
356199941
India 1999
356200441
India 2004
360197101
Indonesia 1971
360197601
Indonesia 1976
360198001
Indonesia 1980
360198501
Indonesia 1985
360199001
Indonesia 1990
360199501
Indonesia 1995
360200001
Indonesia 2000
360200501
Indonesia 2005
360201001
Indonesia 2010
364200601
Iran 2006
368199701
Iraq 1997
372197101
Ireland 1971
372197901
Ireland 1979
372198101
Ireland 1981
372198601
Ireland 1986
372199101
Ireland 1991
372199601
Ireland 1996
372200201
Ireland 2002
372200601
Ireland 2006
372201101
Ireland 2011
376197201
Israel 1972
376198301
Israel 1983
376199501
Israel 1995
380200101
Italy 2001
388198201
Jamaica 1982
388199101
Jamaica 1991
388200101
Jamaica 2001
400200401
Jordan 2004
404196901
Kenya 1969
404197901
Kenya 1979
404198901
Kenya 1989
404199901
Kenya 1999
404200901
Kenya 2009
417199901
Kyrgyz Republic 1999
417200901
Kyrgyz Republic 2009
430197401
Liberia 1974
430200801
Liberia 2008
454198701
Malawi 1987
454199801
Malawi 1998
454200801
Malawi 2008
458197001
Malaysia 1970
458198001
Malaysia 1980
458199101
Malaysia 1991
458200001
Malaysia 2000
466198701
Mali 1987
466199801
Mali 1998
466200901
Mali 2009
484196001
Mexico 1960
484197001
Mexico 1970
484199001
Mexico 1990
484199501
Mexico 1995
484200001
Mexico 2000
484200501
Mexico 2005
484201001
Mexico 2010
496198901
Mongolia 1989
496200001
Mongolia 2000
504198201
Morocco 1982
504199401
Morocco 1994
504200401
Morocco 2004
508199701
Mozambique 1997
508200701
Mozambique 2007
524200101
Nepal 2001
528196001
Netherlands 1960
528197101
Netherlands 1971
528200101
Netherlands 2001
558197101
Nicaragua 1971
558199501
Nicaragua 1995
558200501
Nicaragua 2005
566200621
Nigeria 2006
566200721
Nigeria 2007
566200821
Nigeria 2008
566200921
Nigeria 2009
566201021
Nigeria 2010
586197301
Pakistan 1973
586198101
Pakistan 1981
586199801
Pakistan 1998
591196001
Panama 1960
591197001
Panama 1970
591198001
Panama 1980
591199001
Panama 1990
591200001
Panama 2000
591201001
Panama 2010
600196201
Paraguay 1962
600197201
Paraguay 1972
600198201
Paraguay 1982
600199201
Paraguay 1992
600200201
Paraguay 2002
604199301
Peru 1993
604200701
Peru 2007
608199001
Philippines 1990
608199501
Philippines 1995
608200001
Philippines 2000
620198101
Portugal 1981
620199101
Portugal 1991
620200101
Portugal 2001
620201101
Portugal 2011
630197001
Puerto Rico 1970
630198001
Puerto Rico 1980
630199001
Puerto Rico 1990
630200001
Puerto Rico 2000
630200501
Puerto Rico 2005
630201001
Puerto Rico 2010
642197701
Romania 1977
642199201
Romania 1992
642200201
Romania 2002
646199101
Rwanda 1991
646200201
Rwanda 2002
662198001
Saint Lucia 1980
662199101
Saint Lucia 1991
686198801
Senegal 1988
686200201
Senegal 2002
694200401
Sierra Leone 2004
704198901
Vietnam 1989
704199901
Vietnam 1999
704200901
Vietnam 2009
705200201
Slovenia 2002
710199601
South Africa 1996
710200101
South Africa 2001
710200701
South Africa 2007
710201101
South Africa 2011
724198101
Spain 1981
724199101
Spain 1991
724200101
Spain 2001
724201101
Spain 2011
728200801
South Sudan 2008
729200801
Sudan 2008
756197001
Switzerland 1970
756198001
Switzerland 1980
756199001
Switzerland 1990
756200001
Switzerland 2000
764197001
Thailand 1970
764198001
Thailand 1980
764199001
Thailand 1990
764200001
Thailand 2000
792198501
Turkey 1985
792199001
Turkey 1990
792200001
Turkey 2000
800199101
Uganda 1991
800200201
Uganda 2002
804200101
Ukraine 2001
818199601
Egypt 1996
818200601
Egypt 2006
826199101
United Kingdom 1991
826200101
United Kingdom 2001
834198801
Tanzania 1988
834200201
Tanzania 2002
840196001
United States 1960
840197001
United States 1970
840198001
United States 1980
840199001
United States 1990
840200001
United States 2000
840200501
United States 2005
840201001
United States 2010
854198501
Burkina Faso 1985
854199601
Burkina Faso 1996
854200601
Burkina Faso 2006
858196301
Uruguay 1963
858197501
Uruguay 1975
858198501
Uruguay 1985
858199601
Uruguay 1996
858200621
Uruguay 2006
858201101
Uruguay 2011
862197101
Venezuela 1971
862198101
Venezuela 1981
862199001
Venezuela 1990
862200101
Venezuela 2001
894199001
Zambia 1990
894200001
Zambia 2000
894201001
Zambia 2010
SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows:
The first 3 digits are the ISO/UN codes used in COUNTRY
The next 4 digits are the year of the census/survey
The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41).
Technical Household Variables -- HOUSEHOLD
IPUMS
Household serial number
Household serial number
Household serial number
Household serial number
Household serial number
SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database.
SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred:
Chile 1970, 1992, 2002
Colombia 1993, 2005
Costa Rica 1984, 2000
Cuba 2002
Dominican Republic 1981, 2002, 2010
Ecuador 1990, 2001
Germany 1971
Hungary 1980, 1990, 2001
Jamaica 1982, 1991, 2001
Malaysia 1970, 1991, 2000
Mexico 1995, 1990, 2000, 2005
Nigeria 2006
Panama 2000
Peru 1993, 2007
Portugal 1981, 1991, 2001
Spain 1991
Uruguay 2011
Venezuela 1990, 2001
Vietnam 1989
In all other samples, the last 3 digits are always zeroes.
SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.
Technical Household Variables -- HOUSEHOLD
IPUMS
Subsample number
Subsample number
Subsample number
Subsample number
Subsample number
1st 1% subsample
1
2nd 1% subsample
2
3rd 1% subsample
3
4th 1% subsample
4
5th 1% subsample
5
6th 1% subsample
6
7th 1% subsample
7
8th 1% subsample
8
9th 1% subsample
9
10th 1% subsample
10
11th 1% subsample
11
12th 1% subsample
12
13th 1% subsample
13
14th 1% subsample
14
15th 1% subsample
15
16th 1% subsample
16
17th 1% subsample
17
18th 1% subsample
18
19th 1% subsample
19
20th 1% subsample
20
21st 1% subsample
21
22nd 1% subsample
22
23rd 1% subsample
23
24th 1% subsample
24
25th 1% subsample
25
26th 1% subsample
26
27th 1% subsample
27
28th 1% subsample
28
29th 1% subsample
29
30th 1% subsample
30
31st 1% subsample
31
32nd 1% subsample
32
33rd 1% subsample
33
34th 1% subsample
34
35th 1% subsample
35
36th 1% subsample
36
37th 1% subsample
37
38th 1% subsample
38
39th 1% subsample
39
40th 1% subsample
40
41st 1% subsample
41
42nd 1% subsample
42
43rd 1% subsample
43
44th 1% subsample
44
45th 1% subsample
45
46th 1% subsample
46
47th 1% subsample
47
48th 1% subsample
48
49th 1% subsample
49
50th 1% subsample
50
51st 1% subsample
51
52nd 1% subsample
52
53rd 1% subsample
53
54th 1% subsample
54
55th 1% subsample
55
56th 1% subsample
56
57th 1% subsample
57
58th 1% subsample
58
59th 1% subsample
59
60th 1% subsample
60
61st 1% subsample
61
62nd 1% subsample
62
63rd 1% subsample
63
64th 1% subsample
64
65th 1% subsample
65
66th 1% subsample
66
67th 1% subsample
67
68th 1% subsample
68
69th 1% subsample
69
70th 1% subsample
70
71st 1% subsample
71
72nd 1% subsample
72
73rd 1% subsample
73
74th 1% subsample
74
75th 1% subsample
75
76th 1% subsample
76
77th 1% subsample
77
78th 1% subsample
78
79th 1% subsample
79
80th 1% subsample
80
81st 1% subsample
81
82nd 1% subsample
82
83rd 1% subsample
83
84th 1% subsample
84
85th 1% subsample
85
86th 1% subsample
86
87th 1% subsample
87
88th 1% subsample
88
89th 1% subsample
89
90th 1% subsample
90
91st 1% subsample
91
92nd 1% subsample
92
93rd 1% subsample
93
94th 1% subsample
94
95th 1% subsample
95
96th 1% subsample
96
97th 1% subsample
97
98th 1% subsample
98
99th 1% subsample
99
100th 1% subsample
SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples.
Technical Household Variables -- HOUSEHOLD
IPUMS
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Vacant
10
Households
20
Group quarters, n.s.
21
Institutions
22
Other group quarters
29
1-person unit created by splitting large household
99
Unknown/group quarters not identified
GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools.
Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification.
Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
UNREL indicates the number of persons in the household who are unrelated to the head.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
1
Rural
2
Urban
9
Unknown
URBAN indicates whether the household was located in a place designated as urban or as rural.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Continent and region of country
Continent and region of country
Continent and region of country
Continent and region of country
Continent and region of country
11
Eastern Africa
12
Middle Africa
13
Northern Africa
14
Southern Africa
15
Western Africa
21
Caribbean
22
Central America
23
North America
24
South America
31
Central Asia
32
Eastern Asia
33
Southern Asia
34
South-Eastern Asia
35
Western Asia
41
Eastern Europe
42
Northern Europe
43
Southern Europe
44
Western Europe
51
Australia and New Zealand
52
Melanesia
53
Micronesia
54
Polynesia
REGIONW identifies the continent and region of each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
United States, Region
United States, Region
United States, Region
United States, Region
United States, Region
11
New England division
12
Middle Atlantic division
13
Northeast, n.s.
21
East North Central division
22
West North Central division
23
Midwest, n.s.
31
South Atlantic division
32
East South Central division
33
West South Central division
34
South, n.s.
41
Mountain division
42
Pacific division
43
West, n.s.
99
Region unknown
REGNUS indicates the census region in the United States in which the household was enumerated. REGNUS is the largest-scale geographic identifier available in the U.S. samples. REGNUS is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for the United States can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
United States, Metropolitan area
United States, Metropolitan area
United States, Metropolitan area
United States, Metropolitan area
United States, Metropolitan area
Household not in an identifiable metropolitan area
4
Abilene, TX
8
Akron, OH
12
Albany, GA
16
Albany-Schenectady-Troy, NY
20
Albuquerque, NM
22
Alexandria, LA
24
Allentown-Bethlehem-Easton, PA/NJ
28
Altoona, PA
32
Amarillo, TX
38
Anchorage, AK
40
Anderson, IN
44
Ann Arbor, MI
45
Anniston, AL
46
Appleton-Oskosh-Neenah, WI
48
Asheville, NC
50
Athens, GA
52
Atlanta, GA
56
Atlantic City, NJ
58
Auburn-Opelika, AL
60
Augusta-Aiken, GA-SC
64
Austin, TX
68
Bakersfield, CA
72
Baltimore, MD
73
Bangor, ME
74
Barnstable-Yarmouth, MA
76
Baton Rouge, LA
78
Battle Creek, MI
84
Beaumont-Port Arthur-Orange, TX
86
Bellingham, WA
87
Benton Harbor, MI
88
Billings, MT
92
Biloxi-Gulfport, MS
96
Binghamton, NY
100
Birmingham, AL
101
Bismarck, ND
102
Bloomington, IN
104
Bloomington-Normal, IL
108
Boise City, ID
112
Boston, MA
114
Bradenton, FL
115
Bremerton, WA
116
Bridgeport, CT
120
Brockton, MA
124
Brownsville - Harlingen-San Benito, TX
126
Bryan-College Station, TX
128
Buffalo-Niagara Falls, NY
130
Burlington, NC
131
Burlington, VT
132
Canton, OH
135
Casper, WY
136
Cedar Rapids, IA
140
Champaign-Urbana-Rantoul, IL
144
Charleston-N.Charleston,SC
148
Charleston, WV
152
Charlotte-Gastonia-Rock Hill, SC
154
Charlottesville, VA
156
Chattanooga, TN/GA
158
Cheyenne, WY
160
Chicago-Gary-Lake IL
162
Chico, CA
164
Cincinnati, OH/KY/IN
166
Clarksville- Hopkinsville, TN/KY
168
Cleveland, OH
172
Colorado Springs, CO
174
Columbia, MO
176
Columbia, SC
180
Columbus, GA/AL
184
Columbus, OH
188
Corpus Christi, TX
190
Cumberland, MD/WV
192
Dallas-Fort Worth, TX
193
Danbury, CT
195
Danville, VA
196
Davenport, IA-Rock Island-Moline, IL
200
Dayton-Springfield, OH
202
Daytona Beach, FL
203
Decatur, AL
204
Decatur, IL
208
Denver-Boulder-Longmont, CO
212
Des Moines, IA
216
Detroit, MI
218
Dothan, AL
219
Dover, DE
220
Dubuque, IA
224
Duluth-Superior, MN/WI
228
Dutchess County, NY
229
Eau Claire, WI
231
El Paso, TX
232
Elkhart-Goshen, IN
233
Elmira, NY
234
Enid, OK
236
Erie, PA
240
Eugene-Springfield, OR
244
Evansville, IN/KY
252
Fargo-Moorhead, ND/MN
256
Fayetteville, NC
258
Fayetteville-Springdale, AR
260
Fitchburg-Leominster, MA
262
Flagstaff, AZ
264
Flint, MI
265
Florence, AL
266
Florence, SC
267
Fort Collins-Loveland, CO
268
Fort Lauderdale-Hollywood-Pompano Beach, FL
270
Fort Myers-Cape Coral, FL
271
Fort Pierce, FL
272
Fort Smith, AR/OK
275
Fort Walton Beach, FL
276
Fort Wayne, IN
284
Fresno, CA
288
Gadsden, AL
290
Gainesville, FL
292
Galveston-Texas City, TX
297
Glens Falls, NY
298
Goldsboro, NC
299
Grand Forks, ND/MN
300
Grand Rapids, MI
301
Grand Junction, CO
304
Great Falls, MT
306
Greeley, CO
308
Green Bay, WI
312
Greensboro-Winston Salem-High Point, NC
315
Greenville, NC
316
Greenville-Spartenburg-Anderson, SC
318
Hagerstown, MD
320
Hamilton-Middleton, OH
324
Harrisburg-Lebanon-Carlisle, PA
328
Hartford-Bristol-Middletown-New Britian, CT
329
Hickory-Morgantown, NC
330
Hattiesburg, MS
332
Honolulu, HI
335
Houma-Thibodoux, LA
336
Houston-Brazoria, TX
340
Huntington-Ashland, WV/KY/OH
344
Huntsville, AL
348
Indianapolis, IN
350
Iowa City, IA
352
Jackson, MI
356
Jackson, MS
358
Jackson, TN
359
Jacksonville, FL
360
Jacksonville, NC
361
Jamestown-Dunkirk, NY
362
Janesville-Beloit, WI
366
Johnson City-Kingsport-Bristol, TN/VA
368
Johnstown, PA
371
Joplin, MO
372
Kalamazoo-Portage, MI
374
Kankakee, IL
376
Kansas City, MO-KS
380
Kenosha, WI
381
Killeen-Temple, TX
384
Knoxville, TN
385
Kokomo, IN
387
LaCrosse, WI
388
Lafayette, LA
392
Lafayette-W. Lafayette,IN
396
Lake Charles, LA
398
Lakeland-Winterhaven, FL
400
Lancaster, PA
404
Lansing-E. Lansing, MI
408
Laredo, TX
410
Las Cruces, NM
412
Las Vegas, NV
415
Lawrence, KS
420
Lawton, OK
424
Lewiston-Auburn, ME
428
Lexington-Fayette, KY
432
Lima, OH
436
Lincoln, NE
440
Little Rock-North Little Rock, AR
441
Long Branch-Asbury Park, NJ
442
Longview-Marshall, TX
444
Lorain-Elyria, OH
448
Los Angeles-Long Beach, CA
452
Louisville, KY/IN
460
Lubbock, TX
464
Lynchburg, VA
468
Macon-Warner Robins, GA
472
Madison, WI
476
Manchester, NH
480
Mansfield, OH
488
McAllen-Edinburg-Pharr-Mission, TX
489
Medford, OR
490
Melbourne-Titusville-Cocoa-Palm Bay, FL
492
Memphis, TN/AR/MS
494
Merced, CA
500
Miami-Hialeah, FL
504
Midland, TX
508
Milwaukee, WI
512
Minneapolis-St. Paul, MN
516
Mobile, AL
517
Modesto, CA
519
Monmouth-Ocean, NJ
520
Monroe, LA
524
Montgomery, AL
528
Muncie, IN
532
Muskegon-Norton Shores-Muskegon Heights, MI
533
Myrtle Beach, SC
534
Naples, FL
535
Nashua, NH
536
Nashville, TN
540
New Bedford, MA
546
New Brunswick-Perth Amboy-Sayreville, NJ
548
New Haven-Meriden, CT
552
New London-Norwich, CT/RI
556
New Orleans, LA
560
New York-Northeastern NJ
564
Newark, OH
566
Newburgh-Middletown, NY
572
Norfolk-VA Beach-Newport News, VA
576
Norwalk, CT
579
Ocala, FL
580
Odessa, TX
588
Oklahoma City, OK
591
Olympia, WA
592
Omaha, NE/IA
595
Orange County, NY
596
Orlando, FL
599
Owensboro, KY
601
Panama City, FL
602
Parkersburg-Marietta,WV/OH
603
Pascagoula-Moss Point, MS
608
Pensacola, FL
612
Peoria, IL
616
Philadelphia, PA/NJ
620
Phoenix, AZ
624
Pine Bluff, AR
628
Pittsburgh-Beaver Valley, PA
632
Pittsfield, MA
640
Portland, ME
644
Portland-Vancouver, OR
645
Portsmouth-Dover-Rochester, NH/ME
646
Poughkeepsie, NY
648
Providence-Fall River-Pawtuckett, MA
652
Provo-Orem, UT
656
Pueblo, CO
658
Punta Gorda, FL
660
Racine, WI
664
Raleigh-Durham, NC
666
Rapid City, SD
668
Reading, PA
669
Redding, CA
672
Reno, NV
674
Richland-Kennewick-Pasco, WA
676
Richmond-Petersburg, VA
678
Riverside-San Bernadino,CA
680
Roanoke, VA
682
Rochester, MN
684
Rochester, NY
688
Rockford, IL
689
Rocky Mount, NC
692
Sacramento, CA
696
Saginaw-Bay City-Midland, MI
698
St. Cloud, MN
700
St. Joseph, MO
704
St. Louis, MO-IL
708
Salem, OR
712
Salinas-Sea Side-Monterey, CA
714
Salisbury-Concord, NC
716
Salt Lake City-Ogden, UT
720
San Angelo, TX
724
San Antonio, TX
732
San Diego, CA
736
San Francisco-Oakland-Vallejo, CA
740
San Jose, CA
746
San Luis Obispo-Atascad-P Robles, CA
747
Santa Barbara-Santa Maria-Lompoc, CA
748
Santa Cruz, CA
749
Santa Fe, NM
750
Santa Rosa-Petaluma, CA
751
Sarasota, FL
752
Savannah, GA
756
Scranton-Wilkes-Barre, PA
760
Seattle-Everett, WA
761
Sharon, PA
762
Sheboygan, WI
764
Sherman-Denison, TX
768
Shreveport, LA
772
Sioux City, IA/NE
776
Sioux Falls, SD
780
South Bend-Mishawaka, IN
784
Spokane, WA
788
Springfield, IL
792
Springfield, MO
800
Springfield-Holyoke-Chicopee, MA
804
Stamford, CT
805
State College, PA
808
Steubenville-Weirton,OH/WV
812
Stockton, CA
814
Sumter, SC
816
Syracuse, NY
820
Tacoma, WA
824
Tallahassee, FL
828
Tampa-St. Petersburg-Clearwater, FL
832
Terre Haute, IN
836
Texarkana, TX/AR
840
Toledo, OH/MI
844
Topeka, KS
848
Trenton, NJ
852
Tucson, AZ
856
Tulsa, OK
860
Tuscaloosa, AL
864
Tyler, TX
868
Utica-Rome, NY
873
Ventura-Oxnard-Simi Valley
875
Victoria, TX
876
Vineland-Milville-Bridgetown, NJ
878
Visalia-Tulare -Porterville, CA
880
Waco, TX
884
Washington, DC/MD/VA
888
Waterbury, CT
892
Waterloo-Cedar Falls, IA
894
Wausau, WI
896
West Palm Beach-Boca Raton -Delray Beach, FL
900
Wheeling, WV/OH
904
Wichita, KS
908
Wichita Falls, TX
914
Williamsport, PA
916
Wilmington, DE/NJ/MD
920
Wilmington, NC
924
Worcester, MA
926
Yakima, WA
927
Yolo, CA
928
York, PA
932
Youngstown-Warren, OH-PA
934
Yuba City, CA
936
Yuma, AZ
METROUS indicates the household's census metropolitan area in the United States from 1970 to present. METROUS is harmonized by name and does not account for boundary changes over time.
Metropolitan areas are counties or combinations of counties centering on a substantial urban area. METROUS identifies the household's metropolitan area of enumeration if the household was located in a metropolitan area large enough to meet confidentiality requirements.
The full set of geography variables for the United States can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
United States, City
United States, City
United States, City
United States, City
United States, City
NIU (not in identifiable city)
1
Akron, OH
5
Albany, NY
7
Albuquerque, NM
9
Alexandria, VA
13
Allentown, PA
19
Anaheim, CA
21
Anchorage, AK
27
AnnArbor, MI
29
Arlington, TX
31
Arlington, VA
35
Atlanta, GA
45
Aurora, CO
49
Austin, TX
51
Bakersfield, CA
53
Baltimore, MD
59
Baton Rouge, LA
61
Battle Creek, MI
63
Bay City, MI
65
Bayonne, NJ
67
Beaumont, TX
68
Bellevue, WA
69
Bellingham, WA
71
Berkeley, CA
73
Bethlehem, PA
74
Biddeford, ME
75
Binghampton, NY
77
Birmingham, AL
79
Bloomington, IL
80
Boise, ID
81
Boston, MA
83
Bridgeport, CT
85
Brockton, MA
87
Brookline, MA
88
Brownsville, TX
89
Buffalo, NY
90
Burlington, IA
91
Butte, MT
92
Burbank, CA
93
Cambridge, MA
95
Camden, NJ
97
Camden, NY
99
Canton, OH
100
Cape Coral, FL
101
Cedar Rapids, IA
103
Charlestown, MA
105
Charleston, SC
107
Charleston, WV
109
Charlotte, NC
111
Chattanooga, TN
113
Chelsea, MA
115
Chesapeake, VA
117
Chester, PA
119
Chicago, IL
121
Chicopee, MA
123
Chillicothe, OH
125
Chula Vista, CA
127
Cicero, IL
129
Cincinnati, OH
131
Clarksburg, WV
133
Cleveland, OH
135
Clifton, NJ
137
Clinton, IA
139
Colorado Springs, CO
140
Cohoes, NY
141
Columbia, SC
142
ColumbiaCity, IN
143
Columbus, GA
145
Columbus, OH
147
Concord, CA
149
Concord, NH
150
Corona, CA
151
Council Bluffs, IA
152
Corpus Christi, TX
153
Covington, KY
154
Costa Mesa, CA
155
Cranston, RI
157
Cumberland, MD
159
Dallas, TX
161
Danvers, MA
163
Danville, IL
165
Davenport, IA
167
Dayton, OH
169
Decatur, IL
171
Denver, CO
173
Des Moines, IA
175
Detroit, MI
177
Dorchester, MA
179
Dover, NH
180
Downey, CA
181
Dubuque, IA
183
Duluth, MN
185
Durham, NC
187
East Chicago, IN
189
East Cleveland, OH
191
East Los Angeles, CA
193
East Orange, NJ
194
East Saginaw, MI
195
East St. Louis, IL
197
Easton, PA
199
El Monte, CA
201
El Paso, TX
203
Elgin, IL
205
Elizabeth, NJ
207
Elmira, NY
209
Erie, PA
211
Escondido, CA
213
Eugene, OR
215
Evanston, IL
217
Evansville, IN
219
Everett, MA
221
Everett, WA
223
Fall River, MA
224
Fayetteville, NC
225
Fitchburg, MA
226
Fontana, CA
227
Flint, MI
228
Fond du Lac, WI
229
Fort Lauderdale, FL
230
Fort Collins, CO
231
Fort Smith, AR
233
Fort Wayne, IN
235
Fort Worth, TX
237
Fresno, CA
239
Fullerton, CA
240
Galesburg, IL
241
Galveston, TX
243
Garden Grove, CA
245
Garland, TX
247
Gary, IN
249
Glendale, CA
251
Gloucester, MA
253
Grand Rapids, MI
255
Green Bay, WI
257
Greensboro, NC
259
Hagerstown, MD
261
Hamilton, OH
263
Hammond, IN
265
Hampton, VA
267
Hamtramck village, MI
268
Hannibal, MO
269
Harrisburg, PA
271
Hartford, CT
273
Haverhill, MA
275
Hazleton, PA
277
Hialeah, FL
279
Highland Park, MI
281
Hoboken, NJ
283
Hollywood, FL
285
Holyoke, MA
287
Honolulu, HI
289
Houston, TX
291
Huntington, WV
293
Huntingon Beach, CA
295
Huntsville, AL
297
Independence, MO
299
Indianapolis,IN
301
Inglewood, CA
302
Irivine, CA
303
Irving, TX
305
Irvington, NJ
307
Jackson, MI
309
Jackson, MS
311
Jacksonville, FL
313
Jamestown , NY
315
Jersey City, NJ
317
Johnstown, PA
319
Joliet, IL
321
Joplin, MO
323
Kalamazoo, MI
325
Kansas City, KS
326
Kansas City, MO
327
Kearney, NJ
329
Kenosha, WI
331
Kingston, NY
333
Knoxville, TN
335
Kokomo, IN
337
La Crosse, WI
338
Lafayette, IN
339
Lafayette, LA
341
Lakewood, CO
343
Lakewood, OH
344
Lanaster, CA
345
Lancaster, PA
347
Lansing, MI
349
Las Vegas, NV
351
Lawrence, MA
352
Leavenworth, KS
353
Lehigh, PA
355
Lewiston, ME
357
Lexington, KY
359
Lexington-Fayette, KY
361
Lima, OH
363
Lincoln, NE
365
Little Rock, AR
367
Livonia, MI
368
Lockport, NY
369
Long Beach, CA
371
Lorain, OH
373
Los Angeles, CA
375
Louisville, KY
377
Lowell, MA
379
Lynchburg, VA
381
Lynn, MA
383
Macon, GA
385
Madison, IN
387
Madison, WI
389
Malden, MA
391
Manchester, NH
393
Mansfield, OH
395
Marion, OH
396
McAllen, TX
397
McKeesport, PA
399
Medford, MA
401
Memphis, TN
403
Meriden, CT
405
Mesa, AZ
407
Mesquite, TX
409
Metairie, LA
411
Miami, FL
413
Milwaukee, WI
415
Minneapolis, MN
417
Mobile, AL
419
Modesto, CA
421
Moline, IL
423
Montclair, NJ
425
Montgomery, AL
427
Moreno Valley, CA
429
Mount Vernon, NY
431
Muncie, IN
433
Muskegon, MI
435
Muskogee, OK
437
Nantucket, MA
439
Nashua, NH
441
Nashville-Davidson, TN
443
New Albany, IN
445
New Bedford, MA
447
New Britain, CT
449
New Brunswick, NJ
451
New Castle, PA
453
New Haven, CT
455
New London, CT
457
New Orleans, LA
459
New Rochelle, NY
461
New York, NY
463
Newark, NJ
465
Newark, OH
467
Newburgh, NY
469
Newburyport, MA
471
Newport, KY
473
Newport, RI
475
Newport News, VA
477
Newton, MA
479
Niagara Falls, NY
481
Norfolk, VA
482
North Las Vegas, NV
483
Norristown Boro, PA
484
Northampton, MA
485
North Providence, RI
486
Norwalk, CA
487
Norwalk, CT
489
Norwich, CT
491
Oak Park Village
493
Oakland, CA
495
Oceanside, CA
497
Ogden, UT
499
Oklahoma City, OK
501
Omaha, NE
503
Ontario, CA
504
Orange, CA
505
Orange, NJ
507
Orlando, FL
509
Oshkosh, WI
511
Oswego, NY
513
Oxnard, CA
514
Palmdale, CA
515
Pasadena, CA
517
Pasadena, TX
519
Passaic, NJ
521
Paterson, NJ
523
Pawtucket, RI
525
Pensacola, FL
527
Peoria, IL
529
Perth Amboy, NJ
531
Petersburg, VA
533
Philadelphia, PA
535
Phoenix, AZ
537
Pittsburgh, PA
539
Pittsfield, MA
541
Plainfield, NJ
543
Plano, TX
545
Pomona, CA
547
Pontiac, MI
549
Port Huron, MI
551
Portland, ME
553
Portland, OR
555
Portsmouth, NH
557
Portsmouth, OH
559
Portsmouth, VA
561
Pottsville,PA
563
Poughkeepsie, NY
565
Providence, RI
566
Provo, UT
567
Pueblo, CO
569
Quincy, IL
571
Quincy, MA
573
Racine, WI
575
Raleigh, NC
577
Rancho Cucamonga, CA
579
Reading, PA
581
Reno, NV
583
Revere, MA
585
Richmond, IN
587
Richmond, VA
589
Riverside, CA
591
Roanoke, VA
593
Rochester, NY
595
Rock Island, IL
597
Rockford, IL
599
Rome, NY
601
Roxbury, MA
603
Sacramento, CA
605
Saginaw, MI
607
Saint Joseph, MO
609
Saint Louis, MO
611
Saint Paul, MN
613
Saint Petersburg, FL
615
Salem, MA
617
Salem, OR
619
Salinas, CA
621
Salt Lake City, UT
623
San Antonio, TX
625
San Bernadino, CA
626
San Buenaventura (Ventura), CA
627
San Diego, CA
628
Sandusky, OH
629
San Francisco, CA
631
San Jose, CA
633
Santa Ana, CA
634
Santa Clarita, CA
635
Santa Rosa, CA
637
Savannah, GA
639
Schenectedy, NY
641
Scranton, PA
643
Seattle, WA
645
Sheboygan, WI
647
Shenandoah Borough, PA
649
Shreveport, LA
650
Simi Valley, CA
651
Sioux City, IA
653
Sioux Falls,SD
655
Smithfield, RI
657
Somerville, MA
659
South Bend, IN
661
South Omaha, NE
663
Spokane, WA
665
Springfield, IL
667
Springfield, MA
669
Springfield, MO
671
Springfield, OH
673
Stamford, CT
675
Sterling Heights, MI
677
Steubenville, OH
679
Stockton, CA
681
Sunnyvale, CA
683
Superior, WI
685
Syracuse, NY
687
Tacoma, WA
689
Tampa, FL
691
Taunton, MA
693
Tempe, AZ
695
Terre Haute, IN
696
Thousand Oaks, CA
697
Toledo, OH
699
Topeka, KS
700
Torrance, CA
701
Trenton, NJ
703
Troy, NY
705
Tucson, AZ
707
Tulsa, OK
709
Utica, NY
710
Vancouver, WA
711
Vallejo, CA
712
Vicksburg, MS
713
Virginia Beach, VA
715
Waco, TX
717
Waltham, MA
718
Warren, MI
719
Warren, OH
721
Warwick Town, RI
723
Washington, DC
725
Waterbury, CT
727
Waterloo, IA
729
Waterloo, NY
731
Watertown, NY
732
West Covina, CA
733
West Hoboken, NJ
735
West New York, NJ
737
West Troy, NY
739
Wheeling, WV
741
Wichita, KS
743
Wichita Falls, TX
745
Wilkes-Barre, PA
747
Williamsport, PA
749
Wilmington, DE
751
Wilmington, NC
753
Winston-Salem, NC
755
Woonsocket, RI
757
Worcester, MA
759
Yonkers, NY
761
York, PA
763
Youngstown, OH
765
Zanesville, OH
810
20,000-24,999
811
10,000-19,999
812
City 10,000 - 24,999
820
City 8,000-9,999
830
City 5,000-7,999
840
City 4,000-4,999
850
City 2,500-3,999
860
City 1,000-2,499
870
Under 1,000, incorporated
880
Unincorporated, under 1000
881
Military Reservation
882
Indian Reservation
999
Blank, illegible, missing
CITYUS indicates the household's city in the United States from 1980 to present if the household resided in one of the cities identified in a given sample. CITYUS is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for the United States can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Sewage
Sewage
Sewage
Sewage
Sewage
NIU (not in universe)
10
Connected to sewage system or septic tank
11
Sewage system (public sewage disposal)
12
Septic tank (private sewage disposal)
20
Not connected to sewage disposal system
99
Unknown
SEWAGE indicates whether the household has access to a sewage system or septic tank.
Utilities Variables -- HOUSEHOLD
IPUMS
Telephone availability
Telephone availability
Telephone availability
Telephone availability
Telephone availability
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
PHONE indicates the availability of a telephone in the dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Automobiles available
Automobiles available
Automobiles available
Automobiles available
Automobiles available
No autos
1
1 auto
2
2 autos
3
3 autos
4
4 autos
5
5 autos
6
6+ autos
7
Have auto, number unspecified
8
Unknown
9
NIU (not in universe)
AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Part of a room; no rooms
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
ROOMS indicates the number of rooms occupied by the housing unit.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
NIU (not in universe)
10
No kitchen
11
Food is prepared in a non-kitchen room
13
Does not prepare food in the dwelling
20
Yes, have a kitchen
21
Kitchen located inside the dwelling
22
Indoor kitchen, exclusive use
23
Indoor kitchen, shared use
24
Exclusive use of kitchen (indoor/outdoor status not specified)
25
Kitchen shared with another household (indoor/outdoor status not specified)
26
Kitchen located outside the dwelling
27
Outdoor kitchen, exclusive use
28
Outdoor kitchen, shared use
99
Unknown/missing
KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
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.
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
Data set number
Data set number
Data set number
Data set number
Data set number
Data set number
All households
1
5% Census sample
This variable indicates the particular sample from which the case is drawn in a given year.
Technical Household Variables -- HOUSEHOLD
IPUMS
Household serial number
Household serial number
Household serial number
Household serial number
Household serial number
Household serial number
All households
This variable indicates the unique identifying number assigned to each household record in a given sample.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of person records following
Number of person records following
Number of person records following
Number of person records following
Number of person records following
Number of person records following
All households
Vacant household
1
1 person record
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
This variable indicates the number of person records that are included in the sampled unit.
Technical Household Variables -- HOUSEHOLD
IPUMS
Subsample number
Subsample number
Subsample number
Subsample number
Subsample number
Subsample number
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
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
Allocates each household to one of 100 subsample replicates, randomly numbered from 0 to 99.
Technical Household Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
Household weight
All households
This variable indicates how many households in the U.S. population are represented by a given household in the IPUMS.
Technical Household Variables -- HOUSEHOLD
IPUMS
Census region and division
Census region and division
Census region and division
Census region and division
Census region and division
Census region and division
All households
11
New England Division
12
Middle Atlantic Division
21
East North Central Division
22
West North Central Division
31
South Atlantic Division
32
East South Central Division
33
West South Central Division
41
Mountain Division
42
Pacific Division
This variable indicates the region and division where the dwelling was located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
State (ICPSR code)
State (ICPSR code)
State (ICPSR code)
State (ICPSR code)
State (ICPSR code)
1b. If everyone is staying here only temporarily and usually lives somewhere else, list the name of each person on the numbered lines above, fill this circle ? O [brackets used in this document instead] and print their usual address below. Do not print the address listed on the front cover.
____ House number
____ Street or road/Rural route and box number
____ Apartment number
____ City
____ State
____ ZIP code
____ Country or foreign country
____ Names of nearest intersecting streets or roads
[If everyone listed in questions 1a usually lives at another address(es), print the address(es) in 1b.]
All households
1
Connecticut
2
Maine
3
Massachusetts
4
New Hampshire
5
Rhode Island
6
Vermont
11
Delaware
12
New Jersey
13
New York
14
Pennsylvania
21
Illinois
22
Indiana
23
Michigan
24
Ohio
25
Wisconsin
31
Iowa
32
Kansas
33
Minnesota
34
Missouri
35
Nebraska
36
North Dakota
37
South Dakota
40
Virginia
41
Alabama
42
Arkansas
43
Florida
44
Georgia
45
Louisiana
46
Mississippi
47
North Carolina
48
South Carolina
49
Texas
51
Kentucky
52
Maryland
53
Oklahoma
54
Tennessee
56
West Virginia
61
Arizona
62
Colorado
63
Idaho
64
Montana
65
Nevada
66
New Mexico
67
Utah
68
Wyoming
71
California
72
Oregon
73
Washington
81
Alaska
82
Hawaii
98
District of Columbia
This variable indicates the state in which the housing unit was located, using the coding scheme developed by the Inter-University Consortium for Political and Social Research.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
State (FIPS code)
State (FIPS code)
State (FIPS code)
State (FIPS code)
State (FIPS code)
1b. If everyone is staying here only temporarily and usually lives somewhere else, list the name of each person on the numbered lines above, fill this circle ? O [brackets used in this document instead] and print their usual address below. Do not print the address listed on the front cover.
____ House number
____ Street or road/Rural route and box number
____ Apartment number
____ City
____ State
____ ZIP code
____ Country or foreign country
____ Names of nearest intersecting streets or roads
[If everyone listed in questions 1a usually lives at another address(es), print the address(es) in 1b.]
All households
1
Alabama
2
Alaska
4
Arizona
5
Arkansas
6
California
8
Colorado
9
Connecticut
10
Delaware
11
District of Columbia
12
Florida
13
Georgia
15
Hawaii
16
Idaho
17
Illinois
18
Indiana
19
Iowa
20
Kansas
21
Kentucky
22
Louisiana
23
Maine
24
Maryland
25
Massachusetts
26
Michigan
27
Minnesota
28
Mississippi
29
Missouri
30
Montana
31
Nebraska
32
Nevada
33
New Hampshire
34
New Jersey
35
New Mexico
36
New York
37
North Carolina
38
North Dakota
39
Ohio
40
Oklahoma
41
Oregon
42
Pennsylvania
44
Rhode island
45
South Carolina
46
South Dakota
47
Tennessee
48
Texas
49
Utah
50
Vermont
51
Virginia
53
Washington
54
West Virginia
55
Wisconsin
56
Wyoming
This variable indicates the state in which the household was located, using the Federal Information Processing Standards coding scheme.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Public Use Microdata Area
Public Use Microdata Area
Public Use Microdata Area
Public Use Microdata Area
Public Use Microdata Area
Public Use Microdata Area
All households
This variable indicates the Public Use Microdata Area (PUMA) where the dwelling was located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Metropolitan area
Metropolitan area
Metropolitan area
Metropolitan area
Metropolitan area
1b. If everyone is staying here only temporarily and usually lives somewhere else, list the name of each person on the numbered lines above, fill this circle ? O [brackets used in this document instead] and print their usual address below. Do not print the address listed on the front cover.
____ House number
____ Street or road/Rural route and box number
____ Apartment number
____ City
____ State
____ ZIP code
____ Country or foreign country
____ Names of nearest intersecting streets or roads
[If everyone listed in questions 1a usually lives at another address(es), print the address(es) in 1b.]
All households
N/A or household does not reside in a metropolitan area
40
Abilene, TX
80
Akron, OH
160
Albany-Schenectady-Troy, NY
200
Albuquerque, NM
220
Alexandria, LA
240
Allentown-Bethlehem-Easton, PA/NJ
280
Altoona, PA
320
Amarillo, TX
380
Anchorage, AK
400
Anderson, IN
440
Ann Arbor, MI
450
Anniston, AL
460
Appleton-Oskosh-Neenah, WI
480
Asheville, NC
520
Atlanta, GA
560
Atlantic City, NJ
600
Augusta-Aiken, GA-SC
640
Austin, TX
680
Bakersfield, CA
720
Baltimore, MD
760
Baton Rouge, LA
780
Battle Creek, MI
840
Beaumont-Port Arthur-Orange, TX
860
Bellingham, WA
870
Benton Harbor, MI
880
Billings, MT
920
Biloxi-Gulfport, MS
960
Binghamton, NY
1000
Birmingham, AL
1020
Bloomington, IN
1040
Bloomington-Normal, IL
1080
Boise City, ID
1120
Boston, MA
1121
Lawrence-Haverhill, MA/NH
1122
Lowell, MA/NH
1123
Salem-Gloucester, MA
1140
Bradenton, FL
1150
Bremerton, WA
1160
Bridgeport, CT
1200
Brockton, MA
1240
Brownsville - Harlingen-San Benito, TX
1260
Bryan-College Station, TX
1280
Buffalo-Niagara Falls, NY
1281
Niagara Falls, NY
1300
Burlington, NC
1320
Canton, OH
1360
Cedar Rapids, IA
1400
Champaign-Urbana-Rantoul, IL
1440
Charleston-N.Charleston, SC
1520
Charlotte-Gastonia-Rock Hill, SC
1560
Chattanooga, TN/GA
1600
Chicago-Gary-Lake IL
1601
Aurora-Elgin, IL
1602
Gary-Hammond-East Chicago, IN
1603
Joliet, IL
1604
Lake County, IL
1620
Chico, CA
1640
Cincinnati, OH/KY/IN
1660
Clarksville- Hopkinsville, TN/KY
1680
Cleveland, OH
1720
Colorado Springs, CO
1740
Columbia, MO
1760
Columbia, SC
1840
Columbus, OH
1880
Corpus Christi, TX
1920
Dallas-Fort Worth, TX
1921
Fort Worth-Arlington, TX
1930
Danbury, CT
1950
Danville, VA
1960
Davenport, IA-Rock Island-Moline, IL
2000
Dayton-Springfield, OH
2020
Daytona Beach, FL
2030
Decatur, AL
2040
Decatur, IL
2080
Denver-Boulder-Longmont, CO
2081
Boulder-Longmont, CO
2120
Des Moines, IA
2160
Detroit, MI
2240
Duluth-Superior, MN/WI
2290
Eau Claire, WI
2310
El Paso, TX
2320
Elkhart-Goshen, IN
2360
Erie, PA
2400
Eugene-Springfield, OR
2560
Fayetteville, NC
2580
Fayetteville-Springdale, AR
2640
Flint, MI
2650
Florence, AL
2660
Florence, SC
2670
Fort Collins-Loveland, CO
2680
Fort Lauderdale-Hollywood-Pompano Beach, FL
2700
Fort Myers-Cape Coral, FL
2710
Fort Pierce, FL
2760
Fort Wayne, IN
2840
Fresno, CA
2900
Gainesville, FL
2920
Galveston-Texas City, TX
3000
Grand Rapids, MI
3060
Greeley, CO
3080
Green Bay, WI
3120
Greensboro-Winston Salem-High Point, NC
3160
Greenville-Spartenburg-Anderson, SC
3161
Anderson, SC
3180
Hagerstown, MD
3200
Hamilton-Middleton, OH
3240
Harrisburg-Lebanon-Carlisle, PA
3280
Hartford-Bristol-Middletown-New Britian, CT
3283
New Britain, CT
3290
Hickory-Morgantown, NC
3320
Honolulu, HI
3350
Houma-Thibodoux, LA
3360
Houston-Brazoria, TX
3361
Brazoria, TX
3400
Huntington-Ashland, WV/KY/OH
3480
Indianapolis, IN
3520
Jackson, MI
3560
Jackson, MS
3590
Jacksonville, FL
3600
Jacksonville, NC
3610
Jamestown-Dunkirk, NY
3620
Janesville-Beloit, WI
3660
Johnson City-Kingsport-Bristol, TN/VA
3680
Johnstown, PA
3710
Joplin, MO
3720
Kalamazoo-Portage, MI
3760
Kansas City, MO-KS
3800
Kenosha, WI
3810
Killeen-Temple, TX
3840
Knoxville, TN
3880
Lafayette, LA
3920
Lafayette-W. Lafayette, IN
3980
Lakeland-Winterhaven, FL
4000
Lancaster, PA
4040
Lansing-E. Lansing, MI
4100
Las Cruces, NM
4120
Las Vegas, NV
4280
Lexington-Fayette, KY
4320
Lima, OH
4360
Lincoln, NE
4400
Little Rock-North Little Rock, AR
4420
Longview-Marshall, TX
4440
Lorain-Elyria, OH
4480
Los Angeles-Long Beach, CA
4481
Anaheim-Santa Ana-Garden Grove, CA
4520
Louisville, KY/IN
4600
Lubbock, TX
4680
Macon-Warner Robins, GA
4720
Madison, WI
4760
Manchester, NH
4800
Mansfield, OH
4880
McAllen-Edinburg-Pharr-Mission, TX
4890
Medford, OR
4900
Melbourne-Titusville-Cocoa-Palm Bay, FL
4920
Memphis, TN/AR/MS
4940
Merced, CA
5000
Miami-Hialeah, FL
5040
Midland, TX
5080
Milwaukee, WI
5120
Minneapolis-St. Paul, MN
5160
Mobile, AL
5170
Modesto, CA
5190
Monmouth-Ocean, NJ
5200
Monroe, LA
5240
Montgomery, AL
5280
Muncie, IN
5350
Nashua, NH
5360
Nashville, TN
5400
New Bedford, MA
5480
New Haven-Meriden, CT
5520
New London-Norwich, CT/RI
5560
New Orleans, LA
5600
New York-Northeastern NJ
5601
Nassau Co., NY
5602
Bergen-Passaic, NJ
5603
Jersey City, NJ
5604
Middlesex-Somerset-Hunterdon, NJ
5605
Newark, NJ
5720
Norfolk-VA Beach-Newport News, VA
5790
Ocala, FL
5800
Odessa, TX
5880
Oklahoma City, OK
5910
Olympia, WA
5920
Omaha, NE/IA
5950
Orange County, NY
5960
Orlando, FL
6030
Pascagoula-Moss Point, MS
6080
Pensacola, FL
6120
Peoria, IL
6160
Philadelphia, PA/NJ
6200
Phoenix, AZ
6280
Pittsburgh-Beaver Valley, PA
6440
Portland-Vancouver, OR
6441
Vancouver, WA
6480
Providence-Fall River-Pawtuckett, MA
6481
Fall River, MA/RI
6482
Pawtucket-Woonsocket-Attleboro, RI-MA
6520
Provo-Orem, UT
6560
Pueblo, CO
6600
Racine, WI
6640
Raleigh-Durham, NC
6680
Reading, PA
6690
Redding, CA
6720
Reno, NV
6740
Richland-Kennewick-Pasco, WA
6760
Richmond-Petersburg, VA
6780
Riverside-San Bernadino,CA
6800
Roanoke, VA
6820
Rochester, MN
6840
Rochester, NY
6880
Rockford, IL
6920
Sacramento, CA
6960
Saginaw-Bay City-Midland, MI
6980
St. Cloud, MN
7040
St. Louis, MO-IL
7080
Salem, OR
7120
Salinas-Sea Side-Monterey, CA
7160
Salt Lake City-Ogden, UT
7240
San Antonio, TX
7320
San Diego, CA
7360
San Francisco-Oakland-Vallejo, CA
7361
Oakland, CA
7362
Vallejo-Fairfield-Napa, CA
7400
San Jose, CA
7470
Santa Barbara-Santa Maria-Lompoc, CA
7480
Santa Cruz, CA
7490
Santa Fe, NM
7500
Santa Rosa-Petaluma, CA
7510
Sarasota, FL
7520
Savannah, GA
7560
Scranton-Wilkes-Barre, PA
7600
Seattle-Everett, WA
7610
Sharon, PA
7620
Sheboygan, WI
7680
Shreveport, LA
7800
South Bend-Mishawaka, IN
7840
Spokane, WA
7880
Springfield, IL
7920
Springfield, MO
8000
Springfield-Holyoke-Chicopee, MA
8040
Stamford, CT
8050
State College, PA
8120
Stockton, CA
8160
Syracuse, NY
8200
Tacoma, WA
8280
Tampa-St. Petersburg-Clearwater, FL
8320
Terre Haute, IN
8400
Toledo, OH/MI
8480
Trenton, NJ
8520
Tucson, AZ
8560
Tulsa, OK
8600
Tuscaloosa, AL
8640
Tyler, TX
8680
Utica-Rome, NY
8730
Ventura-Oxnard-Simi Valley
8760
Vineland-Milville-Bridgetown, NJ
8780
Visalia-Tulare -Porterville, CA
8800
Waco, TX
8840
Washington, DC/MD/VA
8880
Waterbury, CT
8920
Waterloo-Cedar Falls, IA
8940
Wausau, WI
8960
West Palm Beach-Boca Raton -Delray Beach, FL
9040
Wichita, KS
9080
Wichita Falls, TX
9140
Williamsport, PA
9160
Wilmington, DE/NJ/MD
9200
Wilmington, NC
9240
Worcester, MA
9260
Yakima, WA
9280
York, PA
9320
Youngstown-Warren, OH-PA
9340
Yuba City, CA
9360
Yuma, AZ
This variable indicates the metropolitan area where the household was enumerated, if that metropolitan area was large enough to meet confidentiality requirements.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
PUMA type
PUMA type
PUMA type
PUMA type
PUMA type
PUMA type
All households
60
Census designated place
61
Place - part
70
Minor Civil Divisions/towns
80
Counties/independent cities (2 or more)
81
County/independent city - part
82
County/independent city
This variable indicates the nature of the 1990 Public Use Microdata Area (PUMA) where a household was enumerated.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
City
City
City
City
City
1b. If everyone is staying here only temporarily and usually lives somewhere else, list the name of each person on the numbered lines above, fill this circle ? O [brackets used in this document instead] and print their usual address below. Do not print the address listed on the front cover.
____ House number
____ Street or road/Rural route and box number
____ Apartment number
____ City
____ State
____ ZIP code
____ Country or foreign country
____ Names of nearest intersecting streets or roads
[If everyone listed in questions 1a usually lives at another address(es), print the address(es) in 1b.]
All households
Not in identifiable city (or size group)
10
Akron, OH
50
Albany, NY
90
Alexandria, VA
130
Allentown, PA
190
Anaheim, CA
210
Anchorage, AK
270
AnnArbor, MI
290
Arlington, TX
310
Arlington, VA
450
Aurora, CO
490
Austin, TX
510
Bakersfield, CA
530
Baltimore, MD
590
Baton Rouge, LA
670
Beaumont, TX
810
Boston, MA
830
Bridgeport, CT
890
Buffalo, NY
1110
Chattanooga, TN
1150
Chesapeake, VA
1190
Chicago, IL
1250
Chula Vista, CA
1330
Cleveland, OH
1390
Colorado Springs, CO
1710
Denver, CO
1730
Des Moines, IA
1750
Detroit, MI
1910
East Los Angeles, CA
1990
El Monte, CA
2050
Elizabeth, NJ
2090
Erie, PA
2110
Escondido, CA
2130
Eugene, OR
2270
Flint, MI
2290
Fort Lauderdale, FL
2330
Fort Wayne, IN
2350
Fort Worth, TX
2370
Fresno, CA
2390
Fullerton, CA
2430
Garden Grove, CA
2450
Garland, TX
2470
Gary, IN
2490
Glendale, CA
2530
Grand Rapids, MI
2570
Greensboro, NC
2650
Hampton, VA
2710
Hartford, CT
2770
Hialeah, FL
2830
Hollywood, FL
2930
Huntingon Beach, CA
3010
Inglewood, CA
3030
Irving, TX
3090
Jackson, MS
3150
Jersey City, NJ
3330
Knoxville, TN
3410
Lakewood, CO
3470
Lansing, MI
3490
Las Vegas, NV
3590
Lexington-Fayette, KY
3670
Livonia, MI
3690
Long Beach, CA
3730
Los Angeles, CA
3750
Louisville, KY
3770
Lowell, MA
4010
Memphis, TN
4070
Mesquite, TX
4090
Metairie, LA
4110
Miami, FL
4130
Milwaukee, WI
4150
Minneapolis, MN
4170
Mobile, AL
4190
Modesto, CA
4250
Montgomery, AL
4270
Moreno Valley, CA
4530
New Haven, CT
4570
New Orleans, LA
4610
New York, NY
4630
Newark, NJ
4750
Newport News, VA
4810
Norfolk, VA
5030
Ontario, CA
5070
Orlando, FL
5150
Pasadena, CA
5170
Pasadena, TX
5210
Paterson, NJ
5270
Peoria, IL
5330
Philadelphia, PA
5350
Phoenix, AZ
5370
Pittsburgh, PA
5450
Pomona, CA
5530
Portland, OR
5590
Portsmouth, VA
5650
Providence, RI
5770
Rancho Cucamonga, CA
5810
Reno, NV
5870
Richmond, VA
5890
Riverside, CA
5930
Rochester, NY
5970
Rockford, IL
6030
Sacramento, CA
6090
Saint Louis, MO
6110
Saint Paul, MN
6170
Salem, OR
6190
Salinas, CA
6230
San Antonio, TX
6270
San Diego, CA
6290
San Francisco, CA
6310
San Jose, CA
6330
Santa Ana, CA
6350
Santa Rosa, CA
6430
Seattle, WA
6490
Shreveport, LA
6590
South Bend, IN
6630
Spokane, WA
6670
Springfield, MA
6730
Stamford, CT
6750
Sterling Heights, MI
6810
Sunnyvale, CA
6850
Syracuse, NY
6890
Tampa, FL
7130
Virginia Beach, VA
7230
Washington, DC
7250
Waterbury, CT
7530
Winston-Salem, NC
7570
Worcester, MA
7590
Yonkers, NY
This variable indicates the city of residence, if the household was located in one of the cities identified in a given sample.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
City population
City population
City population
City population
City population
City population
All households in identifiable cities
This variable indicates the population, in hundreds, for all incorporated municipalities.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Size of place
Size of place
Size of place
Size of place
Size of place
Size of place
All households in identifiable cities
Not identifiable
1
100,000-199,999
2
200,000-299,999
3
300,000-399,999
4
400,000-499,999
5
500,000-599,999
6
600,000-749,999
7
750,000-999,999
8
1,000,000-1,999,999
9
2,000,000+
This variable indicates a recode of CITYPOP, grouping places of similar sizes.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
All households
1
Rural
2
Urban
This variable indicates whether a household's location was urban or rural.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Group quarters status
Group quarters status
Group quarters status
Group quarters status
Group quarters status
Group quarters status
All households
Vacant unit
1
Households under 1970 definition
2
Additional households under 1990 definition
3
Institutions
4
Other group quarters
This variable indicates the type of group quarters.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Group quarters type
Group quarters type
Group quarters type
Group quarters type
Group quarters type
Group quarters type
Collective dwellings
NIU (not in universe)
1
Institution
2
Non-institutional group quarters
This variable indicates the type of group quarters.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Farm status
Farm status
Farm status
Farm status
Farm status
Answer H19a and H19b if you live in a one-family house or mobile home.
All households
1
Non-Farm
2
Farm
This variable indicatess farm households.
Household Economic Variables -- HOUSEHOLD
IPUMS
Sales of farm products
Sales of farm products
Sales of farm products
Sales of farm products
Sales of farm products
Answer H19a and H19b if you live in a one-family house or mobile home.
Private, occupied, single unit dwellings, with lots over 1 acre
NIU (not in universe)
1
None
2
1-999
3
1,000-2,499
4
2,500-4,999
5
5,000-9,999
6
10,000+
This variable indicates the previous year's gross sales of farm produce in contemporary dollars.
Household Economic Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling
Ownership of dwelling
Ownership of dwelling
Ownership of dwelling
Ownership of dwelling
H4. Is this house or apartment--
[] Owned by you or someone in this household with a mortgage or loan?
[] Owned by you or someone in this household free and clear (without a mortgage)?
[] Rented for cash rent?
[] Occupied without payment of cash rent?
[Housing is owned if the owner or co-owner lives in it. Mark owned by you or someone in this household with a mortgage or loan if the house, apartment, or mobile home is mortgaged or there is a contract to purchase. Mark owned by you or someone in this household free and clear (without a mortgage) if there is no mortgage or other debt. If the house, apartment, or mobile home is owned but the land is rented, mark this question to show the status of the house, apartment, or mobile home. Mark rented for cash rent if any money rent is paid, even if the rent is paid by persons who are not members of your household, or by a federal, state, or local government agency. Mark occupied without payment of cash rent if the unit is not owned or being bought by the occupants and if money rent is not paid or contracted. The unit may be owned by friends or relatives who live elsewhere and who allow occupancy without charge. A house or apartment may be provided as part of wages or salary. Examples are: caretaker's or janitor's house or apartment; parsonages; tenant farmer or sharecropper houses for which the occupants do not pay cash rent; or military housing.]
Not group quarters, not vacant units
NIU (not in universe)
1
Owned free and clear
2
Owned with mortgage or loan
3
No cash rent
4
With cash rent
This variable indicates whether the dwelling was rented or owned by its inhabitants.
Household Economic Variables -- HOUSEHOLD
IPUMS
Mortgage status
Mortgage status
Mortgage status
Mortgage status
Mortgage status
H4. Is this house or apartment--
[] Owned by you or someone in this household with a mortgage or loan?
[] Owned by you or someone in this household free and clear (without a mortgage)?
[] Rented for cash rent?
[] Occupied without payment of cash rent?
[Housing is owned if the owner or co-owner lives in it. Mark owned by you or someone in this household with a mortgage or loan if the house, apartment, or mobile home is mortgaged or there is a contract to purchase. Mark owned by you or someone in this household free and clear (without a mortgage) if there is no mortgage or other debt. If the house, apartment, or mobile home is owned but the land is rented, mark this question to show the status of the house, apartment, or mobile home. Mark rented for cash rent if any money rent is paid, even if the rent is paid by persons who are not members of your household, or by a federal, state, or local government agency. Mark occupied without payment of cash rent if the unit is not owned or being bought by the occupants and if money rent is not paid or contracted. The unit may be owned by friends or relatives who live elsewhere and who allow occupancy without charge. A house or apartment may be provided as part of wages or salary. Examples are: caretaker's or janitor's house or apartment; parsonages; tenant farmer or sharecropper houses for which the occupants do not pay cash rent; or military housing.]
H23a. Do you have a mortgage, deed of trust, contract to purchase, or similar debt on this property?
[] Yes, mortgage, deed of trust, or similar debt -- [Go on to question H23b]
[] Yes, contract to purchase -- [Go on to question H23b]
[] No -- [Go on to question H24a]
[The word mortgage is used as a general term to indicate all types of loans that are secured by real estate.]
Owner-occupied single-unit houses, mobile homes, and condominiums; not group quarters
NIU (not in universe)
1
No, owned free and clear
3
Yes, mortgaged/ deed of trust or similar debt
4
Yes, contract to purchase
This variable indicates whether an owner-occupied dwelling was owned free and clear or was encumbered by a mortgage, loan, or other type of debt.
Household Economic Variables -- HOUSEHOLD
IPUMS
Second mortgage status
Second mortgage status
Second mortgage status
Second mortgage status
Second mortgage status
H24a. Do you have a second or junior mortgage or a home equity loan on this property?
[] Yes
[] No -- [Go on to question H25]
[A second or junior mortgage or home equity loan is secured by real estate.]
Owner-occupied single-unit houses, mobile homes, and condominiums; not group quarters
NIU (not in universe)
1
No
2
Yes
This variable indicates whether owner-occupied housing units with a first mortgage were encumbered by a second mortgage or home equity loan.
Household Economic Variables -- HOUSEHOLD
IPUMS
First mortgage monthly payment
First mortgage monthly payment
First mortgage monthly payment
First mortgage monthly payment
First mortgage monthly payment
H23b. How much is your regular monthly mortgage payment on this property? Include payment only on first mortgage or contract to purchase.
$____ .00 Monthly amount -- Dollars
Or
[] No regular payment required -- [Go on to question H24a]
[Enter a monthly amount even if it is unpaid or paid by someone else. If the amount is paid on some other periodic basis, see the instructions for H7a to change it to a monthly amount. Include payments on first mortgages and contracts to purchase only. Payments for second or junior mortgages and home equity loans should be reported in H24b.]
Owner-occupied single-unit houses, mobile homes, and condominiums; not group quarters
This variable indicates the household's monthly first mortgage payment obligations, if any.
Household Economic Variables -- HOUSEHOLD
IPUMS
House value
House value
House value
House value
House value
H6. Answer only if you or someone in this household owns or is buying this house or apartment --
What is the value of this property; that is, how much do you think this house and lot or condominium unit would sell for if it were for sale?
[] Less than $10,000
[] $10,000 to $14,999
[] $15,000 to $19,999
[] $20,000 to $24,999
[] $25,000 to $29,999
[] $30,000 to $34,999
[] $35,000 to $39,999
[] $40,000 to $44,999
[] $45,000 to $49,999
[] $50,000 to $54,999
[] $55,000 to $59,999
[] $60,000 to $64,999
[] $65,000 to $69,999
[] $70,000 to $74,999
[] $75,000 to $79,999
[] $80,000 to $89,999
[] $90,000 to $99,999
[] $100,000 to $124,999
[] $125,000 to $149,999
[] $150,000 to $174,999
[] $175,000 to $199,999
[] $200,000 to $249,999
[] $250,000 to $299,999
[] $300,000 to $399,999
[] $400,000 to $499,999
[] $500,000 or more
[If this is a house, include the value of the house, the land it is on, and any other structures on the same property. If the house is owned but the land is rented, estimate the combined value of the house and the land. If this is a condominium unit, estimate the value for your house or apartment including your share of the common elements. If this is a mobile home, include the value of the mobile home and the value of the land. If you rent the land, estimate the value of the rented land and add it to the value of the mobile home.]
Owner-occupied or vacant-for-sale housing units; not group quarters
NIU (not in universe)
1
Less than $10,000
2
$10,000-14,999
3
$15,000-19,999
4
$20,000-24,999
5
$25,000-29,999
6
$30,000-34,999
7
$35,000-39,999
8
$40,000-44,999
9
$45,000-49,999
10
$50,000-54,999
11
$55,000-59,999
12
$60,000-64,999
13
$65,000-69,999
14
$70,000-74,999
15
$75,000-79,999
16
$80,000-89,999
17
$90,000-99,999
18
$100,000-124,999
19
$125,000-149,999
20
$150,000-174,999
21
$175,000-199,999
22
$200,000-249,999
23
$250,000-299,999
24
$300,000-399,999
25
$400,000+
This variable indicates the value of dwellings in contemporary dollars.
Household Economic Variables -- HOUSEHOLD
IPUMS
Commercial use
Commercial use
Commercial use
Commercial use
Commercial use
H5b. Is there a business (such as a store or barber shop) or a medical office on this property?
[] Yes
[] No
[A business is easily recognized from the outside; for example, a grocery store or barber shop. A medical office is a doctor's or dentist's office regularly visited by patients.]
Private, occupied or vacant single-family houses or mobile homes
NIU (not in universe)
1
No commerical use
2
Yes, used commercially
This variable indicates whether a dwelling has a business (such as a store or barber shop) or medical/dental office on the property.
Household Economic Variables -- HOUSEHOLD
IPUMS
Acreage of property
Acreage of property
Acreage of property
Acreage of property
Acreage of property
H5. If this is a one-family house --
H5a. Is this house on ten or more acres?
[] Yes
[] No
[Answer H5a and H5b if you live in a one-family house or a mobile home; include only land that you own or rent.]
Private, occupied or vacant single-family houses or mobile homes
NIU (not in universe)
1
City or suburban lot or rural lot less than 1 acre
2
1 -9 acres
3
10 acres
This variable indicates the number of acres on which a housing unit was located.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Mortgage payment includes real estate taxes
Mortgage payment includes real estate taxes
Mortgage payment includes real estate taxes
Mortgage payment includes real estate taxes
Mortgage payment includes real estate taxes
H23c. Does your regular monthly mortgage payment include payments for real estate taxes on this property?
[] Yes, taxes included in payment
[] No, taxes paid separately or taxes not required
Households with a regular mortgage payment
NIU (not in universe)
1
No
2
Yes
This variable indicates whether the household's monthly mortgage payment amount.
Household Economic Variables -- HOUSEHOLD
IPUMS
Mortgage payment includes property insurance
Mortgage payment includes property insurance
Mortgage payment includes property insurance
Mortgage payment includes property insurance
Mortgage payment includes property insurance
H23d. Does your regular monthly mortgage payment include payments for fire, hazard, or flood insurance on this property?
[] Yes, insurance included in payment
[] No, insurance paid separately or no insurance
Households with a regular mortgage payment
NIU (not in universe)
1
No
2
Yes, payment includes insurance premiums
This variable indicates whether the household's monthly mortgage payment amounts.
Household Economic Variables -- HOUSEHOLD
IPUMS
Annual property insurance cost
Annual property insurance cost
Annual property insurance cost
Annual property insurance cost
Annual property insurance cost
H22. What was the annual payment for fire, hazard, and flood insurance on this property?
$____ .00 Yearly amount -- Dollars
Or
[] None
[When premiums are paid on other than a yearly basis, convert to a yearly basis. Enter the yearly amount even if no payment was made during the past 12 months.]
Single-unit, owner-occupied houses, condominiums, and mobile homes; not group quarters
This variable indicates the household's annual property (fire, hazard, flood) insurance costs.
Household Economic Variables -- HOUSEHOLD
IPUMS
Annual real estate taxes, 1990
Annual real estate taxes, 1990
Annual real estate taxes, 1990
Annual real estate taxes, 1990
Annual real estate taxes, 1990
H21. What were the real estate taxes on this property last year?
$____ .00 Yearly amount -- Dollars
Or
[] None
[Report taxes for all taxing jurisdictions (city or town, county, state, school district, etc. ) Even if they are included in your mortgage payment, not yet paid or paid by someone else, or are delinquent. Do not include taxes past due from previous years.]
Single-unit, owner-occupied houses, condominiums, and mobile homes; not group quarters
NIU (not in universe)
1
None
2
1-49
3
50 -99
4
100 -149
5
150 -199
6
200 -249
7
250 -299
8
300 -349
9
350 -399
10
400 -449
11
450 -499
12
500 -549
13
550 -599
14
600 -649
15
650 -699
16
700 -749
17
750 -799
18
800 -849
19
850 -899
20
900 -949
21
950 -999
22
1000 -1099
23
1100 -1199
24
1200 -1299
25
1300 -1399
26
1400 -1499
27
1500 -1599
28
1600 -1699
29
1700 -1799
30
1800 -1899
31
1900 -1999
32
2000 -2099
33
2100 -2199
34
2200 -2299
35
2300 -2399
36
2400 -2499
37
2500 -2599
38
2600 -2699
39
2700 -2799
40
2800 -2899
41
2900 -2999
42
3000 -3099
43
3100 -3199
44
3200 -3299
45
3300 -3399
46
3400 -3499
47
3500 -3599
48
3600 -3699
49
3700 -3799
50
3800 -3899
51
3900 -3999
52
4000 -4099
53
4100 -4199
54
4200 -4299
55
4300 -4399
56
4400 -4499
57
4500
58
4501 +
This variable indicates the household's total real estate tax costs (state, local, and other) for the previous year.
Household Economic Variables -- HOUSEHOLD
IPUMS
Monthly contract rent
Monthly contract rent
Monthly contract rent
Monthly contract rent
Monthly contract rent
H7. Answer only if you pay rent for this house or apartment --
H7a. What is the monthly rent?
[] Less than $80
[] $80 to $99
[] $100 to $124
[] $125 to $149
[] $150 to $174
[] $175 to $199
[] $200 to $224
[] $225 to $249
[] $250 to $274
[] $275 to $299
[] $300 to $324
[] $325 to $349
[] $350 to $374
[] $375 to $399
[] $400 to $424
[] $425 to $449
[] $450 to $474
[] $475 to $499
[] $500 to $524
[] $525 to $549
[] $550 to $599
[] $600 to $649
[] $650 to $699
[] $700 to $749
[] $750 to $999
[] $1,000 or more
[Report the rent agreed to or contracted for, even if the rent for your house, apartment, or mobile home is unpaid or paid by someone else.
[If rent is paid...........................Multiply rent by:
By the day.....................................30
By the week....................................4
Every other week............................2
If rent is paid.............................Divide rent by:
4 times a year................................. 3
2 times a year................................. 6
Once a year...................................12]
Renter-occupied or vacant-to-rent units; not group quarters
NIU (not in universe)
1
No cash rent
2
1-79
3
80 -99
4
100 -124
5
125 -149
6
150 -174
7
175 -199
8
200 -224
9
225 -249
10
250 -274
11
275 -299
12
300 -324
13
325 -349
14
350 -374
15
375 -399
16
400 -424
17
425 -449
18
450 -474
19
475 -499
20
500 -524
21
525 -549
22
550 -599
23
600 -649
24
650 -699
25
700 -749
26
750 -999
27
$1,000+
This variable indicates the amount of the household's monthly contract rent payment.
Household Economic Variables -- HOUSEHOLD
IPUMS
Monthly gross rent
Monthly gross rent
Monthly gross rent
Monthly gross rent
Monthly gross rent
H7. Answer only if you pay rent for this house or apartment --
H7a. What is the monthly rent?
[] Less than $80
[] $80 to $99
[] $100 to $124
[] $125 to $149
[] $150 to $174
[] $175 to $199
[] $200 to $224
[] $225 to $249
[] $250 to $274
[] $275 to $299
[] $300 to $324
[] $325 to $349
[] $350 to $374
[] $375 to $399
[] $400 to $424
[] $425 to $449
[] $450 to $474
[] $475 to $499
[] $500 to $524
[] $525 to $549
[] $550 to $599
[] $600 to $649
[] $650 to $699
[] $700 to $749
[] $750 to $999
[] $1,000 or more
[Report the rent agreed to or contracted for, even if the rent for your house, apartment, or mobile home is unpaid or paid by someone else.
[If rent is paid...........................Multiply rent by:
By the day.....................................30
By the week....................................4
Every other week............................2
If rent is paid.............................Divide rent by:
4 times a year................................. 3
2 times a year................................. 6
Once a year...................................12]
Renter-occupied units rented for cash; not group quarters
This variable indicates the gross monthly rental cost of the housing unit, which includes contract rent plus additional costs for utilities (water, electricity, gas) and fuels (oil, coal, kerosene, wood, etc.).
Household Economic Variables -- HOUSEHOLD
IPUMS
Meals included in rent
Meals included in rent
Meals included in rent
Meals included in rent
Meals included in rent
H7b. Does the monthly rent include any meals?
[] Yes
[] No
[Answer yes if meals are included in the monthly rent payment, or you must contract for meals or a meal plan in order to live in this building.]
Renter-occupied or vacant-to-rent units that rented for cash rent; not group quarters
NIU (not in universe)
1
No, meals not included
2
Yes
This variable indicates whether the monthly contract rent payment included meals (or, for vacant-to-rent units, whether the landlord's advertised rental price included meals).
Household Economic Variables -- HOUSEHOLD
IPUMS
Monthly condominium fee
Monthly condominium fee
Monthly condominium fee
Monthly condominium fee
Monthly condominium fee
H25. Answer only if this is a condominium --
What is the monthly condominium fee?
$____ .00 Monthly amount -- Dollars
[A condominium fee is normally assessed by the condominium owners' association for the purpose of improving and maintaining the common areas. Enter a monthly amount even if it is unpaid or paid by someone else. If the amount is paid on some other periodic basis, see the instructions for H7a on how to change it to a monthly amount.]
Owner-occupied condominiums with a condominium fee; not group quarters
This variable indicates the amount of the condominium unit's assigned monthly condominium fee.
Household Economic Variables -- HOUSEHOLD
IPUMS
Condominium status
Condominium status
Condominium status
Condominium status
Condominium status
H18. Is this house or apartment part of a condominium?
[] Yes
[] No
[A condominium is a type of ownership in which the apartments, houses, or mobile homes in a building or development are individually owned, but the common areas, such as lobbies, halls, etc., are jointly owned. Cooperative occupants should mark no.]
If you live in an apartment building, skip to H20.
Private, occupied or vacant dwellings
NIU (not in universe)
1
Not a condominium unit
2
Condominium unit
This variable indicates whether a household lives in a condominium - housing units whose occupants share with other households the ownership and use of certain common areas and facilities.
Household Economic Variables -- HOUSEHOLD
IPUMS
Annual mobile home costs
Annual mobile home costs
Annual mobile home costs
Annual mobile home costs
Annual mobile home costs
H26. Answer only if this is a mobile home --
What was the total cost for personal property taxes, site rent, registration fees, and license fees on this mobile home and its site last year? Exclude real estate taxes.
$____ .00 Yearly amount -- Dollars
[Report amount even if your bills are unpaid or paid by someone else. Include payments for personal property taxes, land or site rent, registration fees and license feels. Do not include real estate taxes already reported in H21. The amount to be reported should be the total amount for an entire 12-month billing period even if made in two or more installments. Estimate as closely as possible when exact costs are not known.]
Owner-occupied mobile homes, with costs related to mobile home status; not group quarters
This variable indicates the annual amount of special costs incurred by mobile home owners.
Household Economic Variables -- HOUSEHOLD
IPUMS
Annual electricity cost
Annual electricity cost
Annual electricity cost
Annual electricity cost
Annual electricity cost
H20. What are the yearly costs of utilities and fuels for this house or apartment?
If you have lived here less than 1 year, estimate the yearly cost.
[If your house or apartment is rented, enter the costs for utilities and fuels only if you pay for them in addition to the rent entered in H7a. If you live in a condominium, enter the costs for utilities and fuels only if you pay for them in addition to your condominium fee. If your fuel and utility costs are already included in your rent or condominium fee, fill the Included in rent or in condominium fee circle. Do not enter any dollar amounts. The amounts to be reported should be the total amount for the past 12 months. Estimate as closely as possible when exact costs are not know. If you have lived in this house or apartment less than 1 year, estimate the yearly cost. Report amounts even if your bills are unpaid or paid by someone else. If the bills include utilities or fuel used also by another apartment or a business establishment, estimate the amounts for your own house or apartment. If gas and electricity are billed together, enter the combined amount on the electricity line and bracket [] the two utilities.]
Private, occupied dwellings
This variable indicates the annual electricity cost for each dwelling (rented or owned), excluding amounts included in contract rent or other types of payments.
Household Economic Variables -- HOUSEHOLD
IPUMS
Annual gas cost
Annual gas cost
Annual gas cost
Annual gas cost
Annual gas cost
H20. What are the yearly costs of utilities and fuels for this house or apartment?
If you have lived here less than 1 year, estimate the yearly cost.
[If your house or apartment is rented, enter the costs for utilities and fuels only if you pay for them in addition to the rent entered in H7a. If you live in a condominium, enter the costs for utilities and fuels only if you pay for them in addition to your condominium fee. If your fuel and utility costs are already included in your rent or condominium fee, fill the Included in rent or in condominium fee circle. Do not enter any dollar amounts. The amounts to be reported should be the total amount for the past 12 months. Estimate as closely as possible when exact costs are not know. If you have lived in this house or apartment less than 1 year, estimate the yearly cost. Report amounts even if your bills are unpaid or paid by someone else. If the bills include utilities or fuel used also by another apartment or a business establishment, estimate the amounts for your own house or apartment. If gas and electricity are billed together, enter the combined amount on the electricity line and bracket [] the two utilities.]
H20b. Gas
$____ .00 Yearly cost -- Dollars
Or
[] Included in rent or in condominium fee
[] No charge or gas not used
Private, occupied dwellings
This variable indicates each rented or owned dwelling's annual gas costs, again excluding amounts included in contract rent or other types of payments.
Household Economic Variables -- HOUSEHOLD
IPUMS
Annual water cost
Annual water cost
Annual water cost
Annual water cost
Annual water cost
H20. What are the yearly costs of utilities and fuels for this house or apartment?
If you have lived here less than 1 year, estimate the yearly cost.
[If your house or apartment is rented, enter the costs for utilities and fuels only if you pay for them in addition to the rent entered in H7a. If you live in a condominium, enter the costs for utilities and fuels only if you pay for them in addition to your condominium fee. If your fuel and utility costs are already included in your rent or condominium fee, fill the Included in rent or in condominium fee circle. Do not enter any dollar amounts. The amounts to be reported should be the total amount for the past 12 months. Estimate as closely as possible when exact costs are not know. If you have lived in this house or apartment less than 1 year, estimate the yearly cost. Report amounts even if your bills are unpaid or paid by someone else. If the bills include utilities or fuel used also by another apartment or a business establishment, estimate the amounts for your own house or apartment. If gas and electricity are billed together, enter the combined amount on the electricity line and bracket [] the two utilities.]
H20c. Water
$____ .00 Yearly cost -- Dollars
Or
[] Included in rent or in condominium fee
[] No charge
Private, occupied dwellings
This variable indicates the rented or owned dwelling's annual water cost, again excluding amounts included in contract rent or other types of payments.
Household Economic Variables -- HOUSEHOLD
IPUMS
Annual home heating fuel cost
Annual home heating fuel cost
Annual home heating fuel cost
Annual home heating fuel cost
Annual home heating fuel cost
H20. What are the yearly costs of utilities and fuels for this house or apartment?
If you have lived here less than 1 year, estimate the yearly cost.
[If your house or apartment is rented, enter the costs for utilities and fuels only if you pay for them in addition to the rent entered in H7a. If you live in a condominium, enter the costs for utilities and fuels only if you pay for them in addition to your condominium fee. If your fuel and utility costs are already included in your rent or condominium fee, fill the Included in rent or in condominium fee circle. Do not enter any dollar amounts. The amounts to be reported should be the total amount for the past 12 months. Estimate as closely as possible when exact costs are not know. If you have lived in this house or apartment less than 1 year, estimate the yearly cost. Report amounts even if your bills are unpaid or paid by someone else. If the bills include utilities or fuel used also by another apartment or a business establishment, estimate the amounts for your own house or apartment. If gas and electricity are billed together, enter the combined amount on the electricity line and bracket [] the two utilities.]
H20d. Oil, coal, kerosene, wood, etc. \
$____ .00 Yearly cost -- Dollars
Or
[] Included in rent or in condominium fee
[] No charge or these fuels not used
Private, occupied dwellings
This variable indicates each rented or owned dwelling's annual fuel cost, again excluding amounts included in contract rent or other types of payments.
Household Economic Variables -- HOUSEHOLD
IPUMS
Total familyincome
Total familyincome
Total familyincome
Total familyincome
Total familyincome
32. Income in 1989 --
Fill the "yes" circle below for each income source received during 1989. Otherwise, fill the "no" circle. If "yes," enter the total amount received during 1989. For income received jointly, see instruction guide. If exact amount is not known, please give best estimate. If net income was a loss, write "loss" above the dollar amount.
[Fill the yes or no circle for each part and enter the amount received during 1989. If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and fill the no circle for the other person.]
Private, occupied dwellings
This variable indicates the primary household's total pre-tax money income from all sources for the previous year.
Household Economic Variables -- HOUSEHOLD
IPUMS
Vacancy status
Vacancy status
Vacancy status
Vacancy status
Vacancy status
Vacancy status
Vacant dwellings
NIU (not in universe)
1
For rent
2
For sale only
3
Rented or sold but not (yet) occupied
4
For seasonal, recreational or other occasional use
5
For migratory workers
6
Other vacant
This variable indicates if a dwelling was vacant and reports the reason for the vacancy.
Technical Household Variables -- HOUSEHOLD
IPUMS
Vacant, usual home elsewhere
Vacant, usual home elsewhere
Vacant, usual home elsewhere
Vacant, usual home elsewhere
Vacant, usual home elsewhere
Vacant, usual home elsewhere
Not group quarters, only units occupied by people with usual homes elsewhere
NIU (not in universe)
1
(UHE) Owns unit presently occupied
2
(UHE) Rent unit presently occupied
3
(UHE) Ownership undetermined
This variable indicates if a dwelling did not house permanent residents but were temporarily occupied at the time of enumeration.
Technical Household Variables -- HOUSEHOLD
IPUMS
Boarded-up status
Boarded-up status
Boarded-up status
Boarded-up status
Boarded-up status
Boarded-up status
Vacant dwellings
NIU (not in universe)
1
No, not boarded up
2
Yes, boarded up
This variable indicates if a vacant unit was boarded up-that is, with windows and doors sealed to protect the interior and prevent illegal entry.
Technical Household Variables -- HOUSEHOLD
IPUMS
Duration of vacancy
Duration of vacancy
Duration of vacancy
Duration of vacancy
Duration of vacancy
Duration of vacancy
Vacant dwellings
NIU (not in universe)
1
Less than 1 month
2
1 -2 months
3
2 -6 months
4
6 -12 months
5
12 -24 months
6
More than 24 months
This variable indicates the time elapsed, in months, since the last occupants moved out of a vacant dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Total household income
Total household income
Total household income
Total household income
Total household income
33. What was this person's total income in 1989?
Add entries in questions 32a through 32h; subtract any losses. If total amount was a loss, write "loss" above amount.
[] None
Or
____ Annual amount -- Dollars
Private, occupied dwellings
This variable indicates the total money income of all household members age 15+ during the previous year.
Household Economic Variables -- HOUSEHOLD
IPUMS
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
H11. Do you have complete kitchen facilities; that is, 1) a sink with piped water, 2) a range or cookstove, and 3) a refrigerator?
[] Yes
[] No
[The kitchen sink, stove, and refrigerator must be located in the building but do not have to be in the same room. Portable cooking equipment is not considered as a range or cookstove.]
Private, occupied and vacant dwellings
NIU (not in universe)
1
No
2
Yes (shared or exclusive use)
This variable indicates whether the dwelling contained kitchen facilities.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Number of rooms
H3. How many rooms do you have in this house or apartment?
Do not count bathrooms, porches, balconies, foyers, halls, or half-rooms.
[] 1 room
[] 2 rooms
[] 3 rooms
[] 4 rooms
[] 5 rooms
[] 6 rooms
[] 7 rooms
[] 8 rooms
[] 9 or more rooms
[Count only whole rooms in your house, apartment, or mobile home used for living purposes, such as living rooms, dining rooms, kitchens, bedrooms, finished recreation rooms, family rooms, etc. Do not count bathrooms, kitchenettes, strip or pullman kitchens, utility rooms, foyers, halls, half-rooms, porches, balconies, unfinished attics, unfinished basements, or other unfinished space used for storage.]
Private, occupied and vacant dwellings
NIU (not in universe)
1
1 room
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more
This variable indicates the number of whole rooms used for living purposes that are contained in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Plumbing facilities
Plumbing facilities
Plumbing facilities
Plumbing facilities
Plumbing facilities
H10. Do you have complete plumbing facilities in this house or apartment; that is, 1) hot and cold piped water, 2) a flush toilet, and 3) a bathtub or shower?
[] Yes, have all three facilities
[] No
[Mark yes, have all three facilities if you have all the facilities mentioned; all facilities must be in your house, apartment, or mobile home, but not necessarily in the same room. Consider that you have hot water even if you have it only part of the time. Mark no if any of the three facilities is not present.]
Private, occupied and vacant dwellings
NIU (not in universe)
1
Without complete plumbing
2
With complete plumbing
This variable indicates whether the dwelling contained complete plumbing facilities.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Age of structure
Age of structure
Age of structure
Age of structure
Age of structure
H17. About when was this building first built?
[] 1989 or 1990
[] 1985 to 1988
[] 1980 to 1984
[] 1970 to 1979
[] 1960 to 1969
[] 1950 to 1959
[] 1940 to 1949
[] 1939 or earlier
[] Don't know
[Fill the circle corresponding to the period in which the original construction was completed, not the time of any later remodeling, additions, or conversions. In buildings containing more than one apartment, the owner, manager, or janitor may be of help in determining when the building was built. If you live in a houseboat or a trailer or mobile home, fill the circle corresponding to the model year in which it was manufactured. If you do not know the period when the building was first constructed, fill the circle for don't know.]
Private, occupied and vacant dwellings
NIU (not in universe)
1
0 -1 year old
2
2-5
3
6-10
4
11-20
5
21-30
6
31-40
7
41-50
8
51+
This variable indicates the estimated age of the structure, in years.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Units in structure
Units in structure
Units in structure
Units in structure
Units in structure
H2. Which best describes this building? Include all apartments, flats, etc., even if vacant.
[] A mobile home or trailer
[] A one-family house detached from any other house
[] A one-family house attached to one or more houses
[] A building with 2 apartments
[] A building with 3 or 4 apartments
[] A building with 5 to 9 apartments
[] A building with 10 to 19 apartments
[] A building with 20 to 49 apartments
[] A building with 50 or more apartments
[] Other
[Fill only one circle. Count all occupied and vacant apartments in the house or building. Do not count stores or office space. Detached means there is open space on all sides, or the house is joined only to a shed or garage. Attached means that the house is joined to another house or building by at least one wall that goes from ground to roof. An example of a one-family house attached to one or more houses is a row of houses attached to one another. A mobile home or trailer that has had one or more rooms added or built onto it should be counted as a one-family detached house; a porch or shed is not considered a room.]
Private, occupied and vacant dwellings
NIU (not in universe)
1
Mobile home or trailer
2
Boat, tent, van, other
3
1 -family house, detached
4
1 -family house, attached
5
2 -family building
6
3 -4 family building
7
5 -9 family building
8
10 -19 family building
9
20 -49 family building
10
50 family building
This variable indicates the number of dwellings (both occupied and vacant) in the structure containing the household.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Source of water
Source of water
Source of water
Source of water
Source of water
H15. Do you get water from --
[] A public system such as a city water department, or private company?
[] An individual drilled well?
[] An individual dug well?
[] Some other source such as a spring, creek, river, cistern, etc.?
[If a well provides water for five or more houses, apartments, or mobile homes, mark A public system. If a well provides water for four or fewer houses, apartments, or mobile homes, fill one of the circles for Individual well. Drilled wells, or small diameter wells, are usually less than 1½ feet in diameter. Dug wells are generally hand dug and are larger than 1½ feet wide.]
Private, occupied and vacant dwellings
NIU (not in universe)
1
Public system or private company
3
Individual well, drilled
4
Individual well, dug
5
Other source
This variable indicates the source of the dwelling's water supply, and whether the unit supplied its own water via an individual well or was attached to a larger public or private system.
Utilities Variables -- HOUSEHOLD
IPUMS
Sewage disposal
Sewage disposal
Sewage disposal
Sewage disposal
Sewage disposal
H16. Is this building connected to a public sewer?
[] Yes, connected to public sewer
[] No, connected to septic tank or cesspool
[] No, use other means
[A public sewer may be operated by a government body or private organization. A septic tank or cesspool is an underground tank or pit used for disposal of sewage.]
Private, occupied and vacant dwellings
NIU (not in universe)
1
Public sewer
2
Septic tank or cesspool
3
Other means
This variable indicates each dwelling's method of sewage disposal: by a public system, a septic tank or cesspool, or another method
Utilities Variables -- HOUSEHOLD
IPUMS
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
H9. How many bedrooms do you have; that is, how many bedrooms would you list if this house or apartment were on the market for sale or rent?
[] No bedroom
[] 1 bedrooms
[] 2 bedrooms
[] 3 bedrooms
[] 4 bedrooms
[] 5 or more bedrooms
[Include all rooms intended to be used as bedrooms in this house, apartment, or mobile home, even if they are currently being used for other purposes.]
Private, occupied and vacant dwellings
NIU (not in universe)
1
No bedrooms
2
1
3
2
4
3
5
4
6
5+
This variable indicates the number of bedrooms within the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Telephone availability
Telephone availability
Telephone availability
Telephone availability
Telephone availability
H12. Do you have a telephone in this house or apartment?
[] Yes
[] No
[Answer yes only if the telephone is located in your house, apartment, or mobile home.]
Private, occupied dwellings
NIU (not in universe)
1
No, no phone available
2
Yes, phone available
This variable indicates whether residents of the housing unit had telephone access.
Utilities Variables -- HOUSEHOLD
IPUMS
Second mortgage monthly payment
Second mortgage monthly payment
Second mortgage monthly payment
Second mortgage monthly payment
Second mortgage monthly payment
H24b. How much is your regular monthly payment on all second or junior mortgages and all home equity loans?
$____ .00 Monthly amount -- Dollars
Or
[] No regular payment required
[Enter a monthly amount even if it is unpaid or paid by someone else. If the amount is paid on some other periodic basis, see instructions for H7a and change it to a monthly amount. Include payments on all second or junior mortgages or home equity loans.]
Owner-occupied single-unit houses, mobile homes, and condominiums; not group quarters
This variable indicates the household's second or junior mortgage monthly payment obligations, if any.
Household Economic Variables -- HOUSEHOLD
IPUMS
Linguistic isolation
Linguistic isolation
Linguistic isolation
Linguistic isolation
Linguistic isolation
15a. Does this person speak a language other than English at home?
[] Yes
[] No -- [Go on to question 16]
[Mark yes if the location is now inside the city/town limits even if it was not inside the limits on April 1, 1985; that is, if the area was annexed by the city/town since that time.]
15b. What is this language?
____
(For example: Chinese, Italian, Spanish, Vietnamese)
[Mark yes if the person sometimes or always speaks a language other than English at home. Do not mark yes for a language spoken only at school or if speaking is limited to a few expressions or slang.]
Private, occupied dwellings
NIU (not in universe)
1
Not linguistically isolated
2
Linguistically isolated
This variable indicates "linguistically isolated households."
Other Household Variables -- HOUSEHOLD
IPUMS
Home heating fuel
Home heating fuel
Home heating fuel
Home heating fuel
Home heating fuel
H14. Which fuel is used most for heating this house or apartment?
[] Gas: from underground pipes serving the neighborhood
[] Gas: bottled, tank, or LP
[] Electricity
[] Fuel oil, kerosene, etc.
[] Coal or coke
[] Wood
[] Solar energy
[] Other fuel
[] No fuel used
[Fill the circle for the fuel used most to heat your house, apartment, or mobile home. In buildings containing more than one apartment you may obtain this information from the owner, manager, or janitor. Solar energy is provided by a system that collects, stores, and distributes heat from the sun. Other fuel includes any fuel not separately listed; for example, purchased steam, fuel briquettes, waste material, etc.]
Private, occupied dwellings
NIU (not in universe)
1
No fuel used
2
Utility gas from underground pipes serving neighborhood
3
Bottled, tank, or liquefied petroleum gas
4
Electricity
5
Fuel oil, kerosene, other liquid fuels
6
Coal or coke
7
Wood
8
Solar energy
9
Other
This variable indicates the primary fuel or energy source used to heat the dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Vehicles available
Vehicles available
Vehicles available
Vehicles available
Vehicles available
H13. How many automobiles, vans, and trucks of one-ton capacity or less are kept at home for use by members of your household?
[] None
[] 1
[] 2
[] 3
[] 4
[] 5
[] 6
[] 7 or more
[Count company cars (including police cars and taxicabs) and company trucks of one-ton capacity or less that are regularly kept at home and used by household members for nonbusiness purposes. Do not count cars or trucks permanently out of working order.]
Private, occupied dwellings
NIU (not in universe)
1
1 available
2
2
3
3
4
4
5
5
6
6
7
7
9
No vehicles available
This variable indicates the number of cars, vans, and trucks of one-ton capacity or less kept at home for use by household members.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Private, occupied dwellings
NIU (not in universe)
1
1 family
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
This variable indicates the number of families in the household.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
All households
0 couples
1
1 couple
2
2
3
3
4
4
5
5
This variable indicates the number of married couples within each unit.
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
Number of mothers in household
All households
0 mothers
1
1
2
2
3
3
4
4
5
5
This variable indicates the number of women within each unit who are identified as residing with their children.
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
Number of fathers in household
All households
0 fathers
1
1
2
2
3
3
4
4
6
6
This variable indicates the number of men within each unit who are identified as residing with their children.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Flag for acreage of property
Flag for acreage of property
Flag for acreage of property
Flag for acreage of property
Flag for acreage of property
Flag for acreage of property
All households
Unaltered case
1
Allocated
This variable is a data quality flag for ACREPROP (Acreage of property).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for monthly condominium fee
Flag for monthly condominium fee
Flag for monthly condominium fee
Flag for monthly condominium fee
Flag for monthly condominium fee
Flag for monthly condominium fee
All households
Unaltered case
1
Allocated
This variable is a data quality flag for CONDOFEE (Monthly condominium fee).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for acreage of property
Flag for acreage of property
Flag for acreage of property
Flag for acreage of property
Flag for acreage of property
Flag for acreage of property
All households
Unaltered case
1
Allocated
This variable is a data quality flag for ACREPROP (Acreage of property).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for annual mobile home costs
Flag for annual mobile home costs
Flag for annual mobile home costs
Flag for annual mobile home costs
Flag for annual mobile home costs
Flag for annual mobile home costs
All households
Unaltered case
1
Allocated
This variable is a data quality flag for MOBLHOME (Yearly mobile home costs).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for first mortgage monthly payment
Flag for first mortgage monthly payment
Flag for first mortgage monthly payment
Flag for first mortgage monthly payment
Flag for first mortgage monthly payment
Flag for first mortgage monthly payment
All households
Unaltered case
1
Allocated
This variable is a data quality flag for MORTAMT1 (First mortgage payment).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for mortgage payment includes property insurance
Flag for mortgage payment includes property insurance
Flag for mortgage payment includes property insurance
Flag for mortgage payment includes property insurance
Flag for mortgage payment includes property insurance
Flag for mortgage payment includes property insurance
All households
Unaltered case
1
Allocated
This variable is a data quality flag for INSINCL (Payment include fire, hazard, flood insurance).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for second mortgage monthly payment
Flag for second mortgage monthly payment
Flag for second mortgage monthly payment
Flag for second mortgage monthly payment
Flag for second mortgage monthly payment
Flag for second mortgage monthly payment
All households
Unaltered case
1
Allocated
This variable is a data quality flag for MORTAMT2 (Second mortgage monthly payment).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for number of bedrooms
Flag for number of bedrooms
Flag for number of bedrooms
Flag for number of bedrooms
Flag for number of bedrooms
Flag for number of bedrooms
All households
Unaltered case
1
Allocated
This variable is a data quality flag for BEDROOMS (Number of Bedrooms).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for age of structure
Flag for age of structure
Flag for age of structure
Flag for age of structure
Flag for age of structure
Flag for age of structure
All households
Unaltered case
1
Allocated from "unanswered"
2
Allocated from "unknown"
This variable is a data quality flag for BUILTYR (Age of structure).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for commercial use
Flag for commercial use
Flag for commercial use
Flag for commercial use
Flag for commercial use
Flag for commercial use
All households
Unaltered case
1
Allocated
This variable is a data quality flag for COMMUSE (Commercial use).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for condominium status
Flag for condominium status
Flag for condominium status
Flag for condominium status
Flag for condominium status
Flag for condominium status
All households
Unaltered case
1
Allocated
This variable is a data quality flag for CONDO (Condominium status).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for second mortgage status
Flag for second mortgage status
Flag for second mortgage status
Flag for second mortgage status
Flag for second mortgage status
Flag for second mortgage status
All households
Unaltered case
1
Allocated
This variable is a data quality flag for MORTGAG2 (Second Mortgage Status).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for annual electricity cost
Flag for annual electricity cost
Flag for annual electricity cost
Flag for annual electricity cost
Flag for annual electricity cost
Flag for annual electricity cost
All households
Unaltered case
1
Allocated
This variable is a data quality flag for COSTELEC (Yearly cost of electricity).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for data Quality for qmortgag (Mortgage status)
Flag for data Quality for qmortgag (Mortgage status)
Flag for data Quality for qmortgag (Mortgage status)
Flag for data Quality for qmortgag (Mortgage status)
Flag for data Quality for qmortgag (Mortgage status)
Flag for data Quality for qmortgag (Mortgage status)
All households
Unaltered case
1
Allocated, direct (logical edit)
2
Allocated (method not specified)
This variable is a data quality flag for qmortgag (Mortgage status).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for annual home heating fuel cost
Flag for annual home heating fuel cost
Flag for annual home heating fuel cost
Flag for annual home heating fuel cost
Flag for annual home heating fuel cost
Flag for annual home heating fuel cost
All households
Unaltered case
1
Allocated
This variable is a data quality flag for COSTFUEL (Yearly cost of home heating fuels).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for annual gas cost
Flag for annual gas cost
Flag for annual gas cost
Flag for annual gas cost
Flag for annual gas cost
Flag for annual gas cost
All households
Unaltered case
1
Allocated
This variable is a data quality flag for COSTGAS (Yearly cost of gas).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for annual property insurance cost
Flag for annual property insurance cost
Flag for annual property insurance cost
Flag for annual property insurance cost
Flag for annual property insurance cost
Flag for annual property insurance cost
All households
Unaltered case
1
Allocated
This variable is a data quality flag for PROPINSR (Yearly property insurance).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for annual water cost
Flag for annual water cost
Flag for annual water cost
Flag for annual water cost
Flag for annual water cost
Flag for annual water cost
All households
Unaltered case
1
Allocated
This variable is a data quality flag for COSTWATR (Yearly cost of water).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for annual real estate taxes, 1990
Flag for annual real estate taxes, 1990
Flag for annual real estate taxes, 1990
Flag for annual real estate taxes, 1990
Flag for annual real estate taxes, 1990
Flag for annual real estate taxes, 1990
All households
Unaltered case
1
Allocated
This variable is a data quality flag for PROPTX90 (Yearly property taxes).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for sales of farm products and farm status
Flag for sales of farm products and farm status
Flag for sales of farm products and farm status
Flag for sales of farm products and farm status
Flag for sales of farm products and farm status
Flag for sales of farm products and farm status
All households
Unaltered case
1
Allocated
This variable is a data quality flag for FARMPROD (Sales of farm products).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for duration of vacancy
Flag for duration of vacancy
Flag for duration of vacancy
Flag for duration of vacancy
Flag for duration of vacancy
Flag for duration of vacancy
All households
Unaltered case
1
Allocated
This variable is a data quality flag for VACDUR (Duration of vacancy).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for meals included in rent
Flag for meals included in rent
Flag for meals included in rent
Flag for meals included in rent
Flag for meals included in rent
Flag for meals included in rent
All households
Unaltered case
1
Allocated
This variable is a data quality flag for RENTMEAL (Meals included in rent).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for home heating fuel
Flag for home heating fuel
Flag for home heating fuel
Flag for home heating fuel
Flag for home heating fuel
Flag for home heating fuel
All households
Unaltered case
1
Allocated
This variable is a data quality flag for FUELHEAT (House heating fuel).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for vehicles available
Flag for vehicles available
Flag for vehicles available
Flag for vehicles available
Flag for vehicles available
Flag for vehicles available
All households
Unaltered case
1
Allocated
This variable is a data quality flag for VEHICLES (Vehicles available).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for plumbing facilities
Flag for plumbing facilities
Flag for plumbing facilities
Flag for plumbing facilities
Flag for plumbing facilities
Flag for plumbing facilities
All households
Unaltered case
1
Allocated
This variable is a data quality flag for PLUMBING (Plumbing facilities).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for kitchen or cooking facilities
Flag for kitchen or cooking facilities
Flag for kitchen or cooking facilities
Flag for kitchen or cooking facilities
Flag for kitchen or cooking facilities
Flag for kitchen or cooking facilities
All households
Unaltered case
1
Allocated
This variable is a data quality flag for KITCHEN (Kitchen or cooking facilities).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for ownership of dwelling
Flag for ownership of dwelling
Flag for ownership of dwelling
Flag for ownership of dwelling
Flag for ownership of dwelling
Flag for ownership of dwelling
All households
Unaltered case
1
Allocated
This variable is a data quality flag for OWNERSHP (Ownership of Dwelling).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for telephone availability
Flag for telephone availability
Flag for telephone availability
Flag for telephone availability
Flag for telephone availability
Flag for telephone availability
All households
Unaltered case
1
Allocated
This variable is a data quality flag for PHONE (Telephone availability).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for mortgage payment includes real estate taxes
Flag for mortgage payment includes real estate taxes
Flag for mortgage payment includes real estate taxes
Flag for mortgage payment includes real estate taxes
Flag for mortgage payment includes real estate taxes
Flag for mortgage payment includes real estate taxes
All households
Unaltered case
1
Allocated
This variable is a data quality flag for TAXINCL (Inclusion of real estate taxes in payment to lender).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for number of rooms
Flag for number of rooms
Flag for number of rooms
Flag for number of rooms
Flag for number of rooms
Flag for number of rooms
All households
Unaltered case
1
Allocated
This variable is a data quality flag for ROOMS (Number of Rooms).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for sewage disposal
Flag for sewage disposal
Flag for sewage disposal
Flag for sewage disposal
Flag for sewage disposal
Flag for sewage disposal
All households
Unaltered case
1
Allocated
This variable is a data quality flag for SEWAGE (Sewage disposal).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for boarded-up status
Flag for boarded-up status
Flag for boarded-up status
Flag for boarded-up status
Flag for boarded-up status
Flag for boarded-up status
All households
Unaltered case
1
Allocated
This variable is a data quality flag for VACABORD (Boarded up status).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for source of water
Flag for source of water
Flag for source of water
Flag for source of water
Flag for source of water
Flag for source of water
All households
Unaltered case
1
Allocated
This variable is a data quality flag for WATERSRC (Source of water).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for units in structure
Flag for units in structure
Flag for units in structure
Flag for units in structure
Flag for units in structure
Flag for units in structure
All households
Unaltered case
1
Allocated
This variable is a data quality flag for UNITSSTR (Units in structure).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for vacancy status
Flag for vacancy status
Flag for vacancy status
Flag for vacancy status
Flag for vacancy status
Flag for vacancy status
All households
Unaltered case
1
Allocated
This variable is a data quality flag for VACANCY (Vacancy status).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for house value
Flag for house value
Flag for house value
Flag for house value
Flag for house value
Flag for house value
All households
Unaltered case
1
Allocated
This variable is a data quality flag for VALUEH (Value of Dwelling).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
HHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
Technical Household Variables -- HOUSEHOLD
IPUMS
United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS]
United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS]
United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS]
United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS]
United States, State 1960 - 2010 [Level 1; consistent boundaries, GIS]
840001
Alabama
840002
Alaska
840004
Arizona
840005
Arkansas
840006
California
840008
Colorado
840009
Connecticut
840010
Delaware
840011
District of Columbia
840012
Florida
840013
Georgia
840015
Hawaii
840016
Idaho
840017
Illinois
840018
Indiana
840019
Iowa
840020
Kansas
840021
Kentucky
840022
Louisiana
840023
Maine
840024
Maryland
840025
Massachusetts
840026
Michigan
840027
Minnesota
840028
Mississippi
840029
Missouri
840030
Montana
840031
Nebraska
840032
Nevada
840033
New Hampshire
840034
New Jersey
840035
New Mexico
840036
New York
840037
North Carolina
840038
North Dakota
840039
Ohio
840040
Oklahoma
840041
Oregon
840042
Pennsylvania
840044
Rhode Island
840045
South Carolina
840046
South Dakota
840047
Tennessee
840048
Texas
840049
Utah
840050
Vermont
840051
Virginia
840053
Washington
840054
West Virginia
840055
Wisconsin
840056
Wyoming
840099
State not identified
GEO1_US identifies the household's state within the United States in all sample years. States are the first level administrative units of the country. GEO1_US is spatially harmonized to account for political boundary changes across census years; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_US can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for the United States 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 States. 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
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
No bedrooms
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20+
98
Unknown
99
NIU (not in universe)
BEDROOMS indicates the number of rooms available to members of the household for sleeping.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Age of structure, coded from intervals
Age of structure, coded from intervals
Age of structure, coded from intervals
Age of structure, coded from intervals
Age of structure, coded from intervals
Less than 1 year old
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
101
101
102
102
103
103
104
104
105
105
106
106
107
107
108
108
109
109
110
110
111
111
112
112
113
113
114
114
115
115
116
116
117
117
118
118
119
119
120
120
121
121
122
122
123
123
124
124
125
125
126
126
127
127
128
128
129
129
130
130
131
131
132
132
133
133
134
134
135
135
136
136
137
137
138
138
139
139
140
140
141
141
142
142
143
143
144
144
145
145
146
146
147
147
148
148
149
149
150
150
151
151
152
152
153
153
154
154
155
155
156
156
157
157
158
158
159
159
160
160
161
161
162
162
163
163
164
164
165
165
166
166
167
167
168
168
169
169
170
170
171
171
172
172
173
173
174
174
175
175
176
176
177
177
178
178
179
179
180
180
181
181
182
182
183
183
184
184
185
185
186
186
187
187
188
188
189
189
190
190
191
191
192
192
193
193
194
194
195
195
196
196
197
197
198
198
199
199
200
200+
998
Unknown
999
NIU (not in universe)
AGESTRUCT2 gives the estimated age of the structure.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
NIU (not in universe)
1
Owned
2
Not owned
9
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
NIU (not in universe)
100
Owned
110
Owned, already paid
120
Owned, still paying
130
Owned, constructed
140
Owned, inherited
190
Owned, other
191
Owned, house
192
Owned, condominium
193
Apartment proprietor
194
Shared ownership
200
Not owned
210
Renting, not specified
211
Renting, government
212
Renting, local authority
213
Renting, parastatal
214
Renting, private
215
Renting, private company
216
Renting, individual
217
Renting, collective
218
Renting, joint state and individual
219
Renting, public subsidized
220
Renting, private subsidized
221
Renting, co-tenant
222
Renting, relative of tenant
223
Renting, cooperative
224
Renting, with a job or business
225
Renting, loan-backed habitation
226
Renting, mixed contract
227
Furnished dwelling
228
Sharecropping
230
Subletting
231
Rent to own
239
Renting, other
240
Occupied de facto/squatting
250
Free/usufruct (no cash rent)
251
Free, provided by employer
252
Free, without work or services
253
Free, provided by family or friend
254
Free, private
255
Free, public
256
Free, condemned
257
Free, other
290
Not owned, other
999
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Fuel for heating
Fuel for heating
Fuel for heating
Fuel for heating
Fuel for heating
NIU (not in universe)
1
None
2
Electricity
3
Fuel oil, kerosene, other liquid fuels
4
Kerosene/paraffin
5
Diesel
6
Gas
7
Bottled gas, in tank, liquified
8
Solid fuel
9
Coal
10
Wood
11
Wood or coal
12
Solar
13
Animal dung
14
Charcoal
15
Other
16
Multiple sources
99
Unknown
FUELHEAT indicates the main fuel source for heating the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
Technical Person Variables -- PERSON
IPUMS
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Father's location in household
Father's location in household
Father's location in household
Father's location in household
Father's location in household
POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
No parent of person in household
11
Link to head or spouse, unambiguous
12
Link to head or spouse, ambiguous
21
Child-Grandchild, within empirical child cap
22
Child-Grandchild, within constructed child cap
23
Child-Grandchild, exceeds child cap
31
Specified Other Relatives, within empirical child cap
32
Specified Other Relatives, within constructed child cap
33
Specified Other Relatives, exceeds child cap
41
Other Relatives, within empirical child cap
42
Other Relatives, within constructed child cap
51
Non-Relatives, within empirical child cap
52
Non-Relatives, within constructed child cap
PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father.
IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
No spouse present
1
Rule 1: strong relationship pairing, couple adjacent
2
Rule 2: strong relationship pairing, couple not adjacent
3
Rule 3: weak relationship pairing, couple adjacent
4
Rule 4: weak relationship pairing, couple not adjacent
5
Rule 5: weak consensual union pairings
6
Rule 6: sample-specific rules (usually child-to-child)
SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse.
IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Biological mother or no mother present
1
Mother has no children borne or surviving
2
Child reports mother is deceased
3
Explicitly identified step relationship
4
Mother reports no children in the home
5
Age difference implausible
6
Child exceeds known fertility of mother
STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
The codes for STEPMOM are as follows:
0 = Biological mother or no mother of this person present in household.
1 = Mother has no children borne or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
See PARRULE for a description of the linking process.
Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Biological father or no father present
1
Child reports father is deceased
2
Explicitly identified step relationship
3
Age difference implausible
STEPPOP indicates whether a person's father, as identified by POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household.
The codes for STEPPOP are as follows:
0 = Biological father or no father of this person present in household.
1 = Child reports father is deceased.
2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law).
3 = Age difference between father and child was less than 12 or greater than 54 years.
See PARRULE for a description of the linking process.
Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
No more than one wife linked via SPLOC
1
More than one wife linked via SPLOC
POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.
The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Person is not the 2nd or higher order wife linked via SPLOC
1
Person is the 2nd or higher order wife linked via SPLOC
POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.
The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Family unit membership
Family unit membership
Family unit membership
Family unit membership
Family unit membership
FAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
1
1 family member present
2
2 family members present
3
3 family members present
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99 or more persons
FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.
FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more children in household
NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more own children under age 5 in household
NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
ELDCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
YNGCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
1
Head
2
Spouse/partner
3
Child
4
Other relative
5
Non-relative
6
Other relative or non-relative
9
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
1000
Head
2000
Spouse/partner
2100
Spouse
2200
Unmarried partner
2300
Same-sex spouse/partner
3000
Child
3100
Biological child
3200
Adopted child
3300
Stepchild
3400
Child/child-in-law
3500
Child/child-in-law/grandchild
3600
Child of unmarried partner
4000
Other relative
4100
Grandchild
4110
Grandchild or great grandchild
4120
Great grandchild
4130
Great-great grandchild
4200
Parent/parent-in-law
4210
Parent
4211
Stepparent
4220
Parent-in-law
4300
Child-in-law
4301
Daughter-in-law
4302
Spouse/partner of child
4310
Unmarried partner of child
4400
Sibling/sibling-in-law
4410
Sibling
4420
Stepsibling
4430
Sibling-in-law
4431
Sibling of spouse/partner
4432
Spouse/partner of sibling
4500
Grandparent
4510
Great grandparent
4600
Parent/grandparent/ascendant
4700
Aunt/uncle
4800
Other specified relative
4810
Nephew/niece
4820
Cousin
4830
Sibling of sibling-in-law
4900
Other relative, not elsewhere classified
4910
Other relative with same family name
4920
Other relative with different family name
4930
Other relative, not specified (secondary family)
5000
Non-relative
5100
Friend/guest/visitor/partner
5110
Partner/friend
5111
Friend
5112
Partner/roommate
5113
Housemate/roommate
5120
Visitor
5130
Ex-spouse
5140
Godparent
5150
Godchild
5200
Employee
5210
Domestic employee
5220
Relative of employee, n.s.
5221
Spouse of servant
5222
Child of servant
5223
Other relative of servant
5300
Roomer/boarder/lodger/foster child
5310
Boarder
5311
Boarder or guest
5320
Lodger
5330
Foster child
5340
Tutored/foster child
5350
Tutored child
5400
Employee, boarder or guest
5500
Other specified non-relative
5510
Agregado
5520
Temporary resident, guest
5600
Group quarters
5610
Group quarters, non-inmates
5620
Institutional inmates
5900
Non-relative, n.e.c.
6000
Other relative or non-relative
9999
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
Less than 1 year
1
1 year
2
2 years
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
100
100+
999
Not reported/missing
AGE gives age in years as of the person's last birthday prior to or on the day of enumeration.
Demographic Variables -- PERSON
IPUMS
Age, grouped into intervals
Age, grouped into intervals
Age, grouped into intervals
Age, grouped into intervals
Age, grouped into intervals
1
0 to 4
2
5 to 9
3
10 to 14
4
15 to 19
5
15 to 17
6
18 to 19
7
18 to 24
8
20 to 24
9
25 to 29
10
30 to 34
11
35 to 39
12
40 to 44
13
45 to 49
14
50 to 54
15
55 to 59
16
60 to 64
17
65 to 69
18
70 to 74
19
75 to 79
20
80+
98
Unknown
AGE2 gives computed years of age grouped into intervals.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
1
Male
2
Female
9
Unknown
SEX reports the sex (gender) of the respondent.
Demographic Variables -- PERSON
IPUMS
Marital status [general version]
Marital status [general version]
Marital status [general version]
Marital status [general version]
Marital status [general version]
NIU (not in universe)
1
Single/never married
2
Married/in union
3
Separated/divorced/spouse absent
4
Widowed
9
Unknown/missing
[program universe for et,mz samples.
MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.
Demographic Variables -- PERSON
IPUMS
Marital status [detailed version]
Marital status [detailed version]
Marital status [detailed version]
Marital status [detailed version]
Marital status [detailed version]
NIU (not in universe)
100
Single/never married
110
Engaged
111
Never married and never cohabited
200
Married or consensual union
210
Married, formally
211
Married, civil
212
Married, religious
213
Married, civil and religious
214
Married, civil or religious
215
Married, traditional/customary
216
Married, monogamous
217
Married, polygamous
220
Consensual union
300
Separated/divorced/spouse absent
310
Separated or divorced
320
Separated or annulled
330
Separated
331
Separated legally
332
Separated de facto
333
Separated from marriage
334
Separated from consensual union
335
Separated from consensual union or marriage
340
Annulled
350
Divorced
360
Married, spouse absent
400
Widowed
410
Widowed or divorced
411
Widowed from consensual union or marriage
412
Widowed from marriage
413
Widowed from consensual union
420
Widowed, divorced, or separated
999
Unknown/missing
[program universe for et,mz samples.
MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.
Demographic Variables -- PERSON
IPUMS
Children ever born
Children ever born
Children ever born
Children ever born
Children ever born
No children
1
1 child
2
2 children
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.
Fertility and Mortality Variables -- PERSON
IPUMS
State of birth, United States
State of birth, United States
State of birth, United States
State of birth, United States
State of birth, United States
1
Alabama
2
Alaska
4
Arizona
5
Arkansas
6
California
8
Colorado
9
Connecticut
10
Delaware
11
District of Columbia
12
Florida
13
Georgia
15
Hawaii
16
Idaho
17
Illinois
18
Indiana
19
Iowa
20
Kansas
21
Kentucky
22
Louisiana
23
Maine
24
Maryland
25
Massachusetts
26
Michigan
27
Minnesota
28
Mississippi
29
Missouri
30
Montana
31
Nebraska
32
Nevada
33
New Hampshire
34
New Jersey
35
New Mexico
36
New York
37
North Carolina
38
North Dakota
39
Ohio
40
Oklahoma
41
Oregon
42
Pennsylvania
44
Rhode Island
45
South Carolina
46
South Dakota
47
Tennessee
48
Texas
49
Utah
50
Vermont
51
Virginia
53
Washington
54
West Virginia
55
Wisconsin
56
Wyoming
60
United States, n.s.
98
Foreign-born
BPLUS indicates the person's state of birth within the United States.
Nativity and Birthplace Variables -- PERSON
IPUMS
Citizenship
Citizenship
Citizenship
Citizenship
Citizenship
1
Citizen, not specified
2
Citizen by birth
3
Naturalized citizen
4
Not a citizen
5
Without citizenship, stateless
8
Unknown
9
NIU (not in universe)
CITIZEN indicates the person's citizenship status within the country in which they were enumerated.
Nativity and Birthplace Variables -- PERSON
IPUMS
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
Race, United States
Race, United States
Race, United States
Race, United States
Race, United States
100
White
200
Black
300
American Indian/Alaska Native, not specified
301
Alaskan Athabaskan
302
Apache
303
Blackfoot
304
Cherokee
305
Cheyenne
306
Chickasaw
307
Chippewa
308
Choctaw
309
Comanche
310
Creek
311
Crow
312
Iroquois
313
Kiowa
314
Lumbee
315
Navajo
316
Osage
317
Paiute
318
Pima
319
Potawatomi
320
Pueblo
321
Seminole
322
Shoshone
323
Sioux
324
Tlingit (Tlingit-Haida, 2000-2005)
325
Tohono O''Odham
326
All other tribes
327
AIAN, tribe not specified
330
Aleut
340
Eskimo
350
Delaware
351
Latin American Indian
352
Puget Sound Salish
353
Yakama
354
Yaqui
355
Colville
356
Houma
357
Menominee
358
Yuman
390
Other Specified Indian tribe (2000-2005)
391
Two or more Indian tribes (2000-2005)
392
Other Alaskan tribe(s) (2000-2005)
393
Both Indian and Alaskan (2000-2005)
394
Tribal responses, n.e.c.
400
Chinese
410
Taiwanese
420
Chinese and Taiwanese
500
Japanese
600
Filipino
610
Asian Indian
620
Korean
630
Native Hawaiian
640
Vietnamese
660
Cambodian
661
Hmong
662
Laotian
663
Thai
664
Bangladeshi
665
Burmese
666
Indonesian
667
Malaysian
668
Okinawan
669
Pakistani
670
Sri Lankan
671
All other Asian, n.e.c.
672
Asian, not specified
673
Chinese and Japanese
674
Chinese and Filipino
675
Chinese and Vietnamese
676
Chinese and Asian write-in
677
Japanese and Filipino
678
Asian Indian and Asian write-in
679
Other Asian race combinations
680
Samoan
681
Tahitian
682
Tongan
684
One or more other Polynesian races (2000-2005)
685
Guamanian/Chamorro
686
Northern Mariana Islander
687
Palauan
688
Other Micronesian
689
One or more other Micronesian races (2000-2005)
690
Fijian
691
Other Melanesian
692
One or more Melanesian races (2000-2005)
698
Two or more PI races from multiple regions
699
Pacific Islander (PI), n.s.
700
Other race, n.e.c.
800
Two or more races
RACEUS identifies the "race" of the respondent in the United States. Race is a social construct, not a scientific or anthropological concept. Many detailed categories consist of national origin groups.
Ethnicity and Language Variables -- PERSON
IPUMS
Member of an indigenous group
Member of an indigenous group
Member of an indigenous group
Member of an indigenous group
Member of an indigenous group
NIU (not in universe)
1
Yes
2
No
9
Unknown
INDIG indicates whether the person belonged to an indigenous group.
Ethnicity and Language Variables -- PERSON
IPUMS
Ancestry, U.S. and Puerto Rico
Ancestry, U.S. and Puerto Rico
Ancestry, U.S. and Puerto Rico
Ancestry, U.S. and Puerto Rico
Ancestry, U.S. and Puerto Rico
1
Alsatian
2
Andorran
3
Austrian
4
Tirolean
5
Basque
6
French Basque
8
Belgian
9
Flemish
10
Walloon
11
British
12
British Isles
13
Channel Islander
14
Gibraltan
15
Cornish
16
Corsican
17
Cypriot
18
Greek Cypriote
19
Turkish Cypriote
20
Danish
21
Dutch
22
English
23
Faeroe Islander
24
Finnish
25
Karelian
26
French
27
Lorrainian
28
Breton
29
Frisian
30
Friulian
32
German (1980)
33
Bavarian
34
Berliner
35
Hamburger
36
Hanoverian
37
Hessian
38
Lubecker
39
Pomeranian (1980)
40
Prussian
41
Saxon
42
Sudetenlander
43
Westphalian
46
Greek
47
Cretan
48
Cycladic Islander
49
Icelander
50
Irish
51
Italian (1980)
53
Abruzzi
54
Apulian
55
Basilicata
56
Calabrian
57
Amalfi
58
Emilia Romagna
59
Rome
60
Ligurian
61
Lombardian
62
Marches
63
Molise
64
Neapolitan
65
Piedmontese
66
Puglia
67
Sardinian
68
Sicilian
69
Tuscan
70
Trentino
71
Umbrian
72
Valle d"Aosta
73
Venetian
75
Lapp
76
Liechtensteiner
77
Luxemburger
78
Maltese
79
Manx
80
Monegasque
81
Northern Irelander
82
Norwegian
84
Portuguese
85
Azorean
86
Madeiran
87
Scotch Irish (1990)
88
Scottish
89
Swedish
90
Aland Islander
91
Swiss
92
Suisse (1980)
95
Romansch (1980)
96
Suisse Romane (1990)
97
Welsh
98
Scandinavian, Nordic
100
Albanian
101
Azerbaijani
102
Belorussian
103
Bulgarian
105
Carpathian
108
Cossack (1990)
109
Croatian
111
Czechoslovakian
112
Bohemian
115
Estonian
116
Livonian
117
Finno Ugrian (1990)
118
Mordovian
119
Voytak
120
Georgian (1980)
122
Germans from Russia:
123
Gruziia (1990)
124
Rom
125
Hungarian
126
Magyar
128
Latvian
129
Lithuanian
130
Macedonian
132
North Caucasian (1990)
133
North Caucasian Turkic (1990)
140
Ossetian
142
Polish
143
Kashubian
144
Romanian (1990)
145
Bessarabian (1980)
146
Moldavian
147
Wallachian
148
Russian
150
Muscovite
152
Serbian (1980)
153
Slovak
154
Slovene
155
Sorb/Wend
156
Soviet Turkic (1990)
157
Bashkir
158
Chevash
159
Gagauz (1990)
160
Mesknetian (1990)
163
Yakut
164
Soviet Union, n.e.c. (1990)
165
Tatar (1990)
169
Uzbek
171
Ukrainian (1980)
176
Yugoslavian
178
Slav
179
Slavonian (1990)
181
Central European, n.e.c.
183
Northern European, n.e.c.
185
Southern European, n.e.c.
187
Western European, n.e.c.
190
Eastern European, n.e.c.
195
European, n.e.c.
200
Spaniard (1980)
201
Andalusian (1990)
202
Asturian (1990)
204
Catalonian
205
Balearic Islander (1980)
206
Galician (1980)
210
Mexican (1980)
211
Mexican American
213
Chicano/Chicana
218
Nuevo Mexicano (1980)
219
Californio
221
Costa Rican
222
Guatemalan
223
Honduran
224
Nicaraguan
225
Panamanian (1980)
226
Salvadoran
227
Latin American (1980)
231
Argentinean
232
Bolivian
233
Chilean
234
Colombian
235
Ecuadorian
236
Paraguayan
237
Peruvian
238
Uruguayan
239
Venezuelan
248
South American (1980)
261
Puerto Rican
271
Cuban
275
Dominican
290
Hispanic
291
Spanish
295
Spanish American
296
Other Spanish/Hispanic
300
Bahamian
301
Barbadian
302
Belizean
303
Bermudan
304
Cayman Islander
308
Jamaican
310
Dutch West Indies
311
Aruba Islander
312
St. Maarten Islander
314
Trinidadian/Tobagonian
315
Trinidadian
316
Tobagonian
317
U.S. Virgin Islander (1980)
321
British Virgin Islander(1980)
322
British West Indian
323
Turks and Caicos Islander
324
Anguilla Islander (1980)
328
Dominica Islander
329
Grenadian
331
St. Lucia Islander
332
French West Indies
333
Guadeloupe Islander
334
Cayenne
335
West Indian (1990)
336
Haitian
337
Other West Indian
360
Brazilian
365
San Andres
370
Guyanese/British Guiana
375
Providencia
380
Surinam/Dutch Guiana
400
Algerian
402
Egyptian
404
Libyan
406
Moroccan (1990)
407
Ifni
408
Tunisian
411
North African
412
Alhucemas
413
Berber
414
Rio de Oro
415
Bahraini
416
Iranian
417
Iraqi
419
Israeli
421
Jordanian
422
Transjordan
423
Kuwaiti
425
Lebanese
427
Saudi Arabian
429
Syrian (1990)
431
Armenian
434
Turkish
435
Yemeni
436
Omani
437
Muscat
438
Trucial Oman
439
Qatar
441
Bedouin
442
Kurdish
444
Kuria Muria Islander
465
Palestinian
466
Gazan
467
West Bank
470
South Yemeni
471
Aden
480
United Arab Emirates
482
Assyrian/Chaldean/Syriac
490
Middle Eastern
495
Arab
496
Other Arab
500
Angolan
502
Benin
504
Botswana
506
Burundian
508
Cameroonian
510
Cape Verdean
512
Central African Republic
513
Chadian
515
Congolese
516
Congo-Brazzaville
519
Djibouti
520
Equatorial Guinea
521
Corsico Islander
522
Ethiopian
523
Eritrean
525
Gabonese
527
Gambian
529
Ghanian
530
Guinean
531
Guinea Bissau
532
Ivory Coast
534
Kenyan
538
Lesotho
541
Liberian
543
Madagascan
545
Malawian (1990)
546
Malian
547
Mauritanian
549
Mozambican
550
Namibian
551
Niger
553
Nigerian
554
Fulani
555
Hausa
556
Ibo
557
Tiv (1980)
561
Rwandan
564
Senegalese
566
Sierra Leonean
568
Somalian
569
Swaziland
570
South African
571
Union of South Africa
572
Afrikaner
573
Natalian
574
Zulu
576
Sudanese
577
Dinka
578
Nuer
579
Fur
580
Baggara
582
Tanzanian
583
Tanganyikan
584
Zanzibar Islande
586
Togo
588
Ugandan
589
Upper Voltan
590
Volta
591
Zairian
592
Zambian
593
Zimbabwean
594
African Islands (1980)
595
Other Subsaharan Africa
596
Central African
597
East African
598
West African
599
African
600
Afghan
601
Baluchi
602
Pathan
603
Bengali (1980)
607
Bhutanese
609
Nepali
615
Asian Indian (1980)
622
Andaman Islander
624
Andhra Pradesh
626
Assamese
628
Goanese
630
Gujarati
632
Karnatakan
634
Keralan
638
Maharashtran
640
Madrasi
642
Mysore
644
Naga
648
Pondicherry
650
Punjabi
656
Tamil
675
East Indies (1990)
680
Pakistani (1980)
690
Sri Lankan
691
Singhalese
692
Veddah
695
Maldivian
700
Burmese (1990)
702
Shan
703
Cambodian
704
Khmer
706
Chinese
707
Cantonese (1980)
708
Manchurian
709
Mandarin (1990)
712
Mongolian (1980)
714
Tibetan
716
Hong Kong (1990)
718
Macao
720
Filipino
730
Indonesian (1980)
740
Japanese (1980)
746
Ryukyu Islander
748
Okinawan
750
Korean
765
Laotian
766
Meo
768
Hmong
770
Malaysian (1980)
774
Singaporean
776
Thai
777
Black Thai
778
Western Lao
782
Taiwanese
785
Vietnamese
786
Katu
787
Ma
788
Mnong
790
Montagnard
792
Indochinese
793
Eurasian
795
Asian
796
Other Asian
800
Australian
801
Tasmanian
802
Australian Aborigine (1990)
803
New Zealander
808
Polynesian (1990)
809
Kapinagamarangan (1990)
810
Maori
811
Hawaiian
813
Part Hawaiian
814
Samoan (1990)
815
Tongan
816
Tokelauan
817
Cook Islander
818
Tahitian
819
Niuean
820
Micronesian (1990)
821
Guamanian
822
Chamorro Islander
823
Saipanese (1990)
824
Palauan
825
Marshall Islander
826
Kosraean
827
Ponapean (1990)
828
Chuukese (1990)
829
Yap Islander
830
Caroline Islander (1990)
831
Kiribatese
832
Nauruan
833
Tarawa Islander (1990)
834
Tinian Islander (1990)
840
Melanesian Islander
841
Fijian
843
New Guinean
844
Papuan
845
Solomon Islander
846
New Caledonian Islander
847
Vanuatuan
850
Pacific Islander (1990)
860
Oceania
862
Chamolinian (1990)
863
Reserved Codes
870
Other Pacific
900
Afro-American (1980)
902
African-American (1990)
913
Central American Indian (1990)
914
South American Indian (1990)
920
American Indian (all tribes)
921
Aleut
922
Eskimo
923
Inuit
924
White/Caucasian (1980)
930
Greenlander
931
Canadian
933
Newfoundland
934
Nova Scotian
935
French Canadian
936
Acadian (1980)
939
American
940
United States
941
Alabama
942
Alaska
943
Arizona
944
Arkansas
945
California
946
Colorado
947
Connecticut
948
District of Columbia
949
Delaware
950
Florida
951
Georgia
952
Idaho
953
Illinois
954
Indiana
955
Iowa
956
Kansas
957
Kentucky
958
Louisiana
959
Maine
960
Maryland
961
Massachusetts
962
Michigan
963
Minnesota
964
Mississippi
965
Missouri
966
Montana
967
Nebraska
968
Nevada
969
New Hampshire
970
New Jersey
971
New Mexico
972
New York
973
North Carolina
974
North Dakota
975
Ohio
976
Oklahoma
977
Oregon
978
Pennsylvania
979
Rhode Island
980
South Carolina
981
South Dakota
982
Tennessee
983
Texas
984
Utah
985
Vermont
986
Virginia
987
Washington
988
West Virginia
989
Wisconsin
990
Wyoming
993
Southerner
994
North American
995
Mixture
996
Uncodable
997
Deferred cases
998
Other
999
Not reported
ANCEST identifies the person's self-reported ancestry or ethnic origin in the United States and Puerto Rico.
Ethnicity and Language Variables -- PERSON
IPUMS
Hispanic origin, U.S. and Puerto Rico
Hispanic origin, U.S. and Puerto Rico
Hispanic origin, U.S. and Puerto Rico
Hispanic origin, U.S. and Puerto Rico
Hispanic origin, U.S. and Puerto Rico
Not hispanic
100
Mexican
101
Mexican, n.e.c.
102
Mexican American
103
Mexicano/Mexicana
104
Chicano/Chicana
105
La Raza
106
Mexican American Indian
107
Mexico
200
Puerto Rican
300
Cuban
400
Other Spanish, 1980
410
Central/South American, 1970
411
Costa Rican
412
Guatemalan
413
Honduran
414
Nicaraguan
415
Panamanian
416
Salvadoran
417
Central American
418
Central American Indian
419
Canal Zone
420
Argentinean
421
Bolivian
422
Chilean
423
Colombian
424
Ecuadorian
425
Paraguayan
426
Peruvian
427
Uruguayan
428
Venezuelan
429
South American Indian
430
Criollo
431
South American
440
Other Spanish, 1970
450
Spaniard
451
Andalusian
452
Asturian
453
Castillian
454
Catalonian
455
Balearic Islander
456
Gallego
457
Valencian
458
Canarian
459
Spanish Basque
460
Dominican
465
Latin American
470
Hispanic
480
Spanish
490
Californio
491
Tejano
492
Nuevo Mexicano
493
Spanish American
494
Spanish American Indian
495
Meso American Indian
496
Mestizo
497
Other Spanish, Hispanic, Latino
498
Not specified (FOSDIC)
499
Not classified
999
Not reported
HISPAN identifies and classifies persons of Hispanic origin in the United States and Puerto Rico.
Ethnicity and Language Variables -- PERSON
IPUMS
Language spoken at home, United States
Language spoken at home, United States
Language spoken at home, United States
Language spoken at home, United States
Language spoken at home, United States
NIU (not in universe)
1
English
2
Jamaican Creole
3
Krio, Pidgin Krio
4
Hawaiian Pidgin
5
Pidgin
6
Gullah, Geechee
7
Saramacca
8
German
9
Luxembourgian
10
Pennsylvania Dutch
11
Yiddish, Jewish
12
Dutch
13
Afrikaans
14
Frisian
15
Swedish
16
Danish
17
Norwegian
18
Icelandic
19
Faroese
20
Italian
21
Rhaeto-Romanic, Ladin
22
French
23
Provencal
24
Patois
25
French or Haitian Creole
26
Cajun
27
Spanish
28
Catalonian, Valencian
29
Ladino, Sefaradit, Spanol
30
Pachuco
31
Papia Mentae
32
Portuguese
33
Rumanian
34
Irish Gaelic, Gaelic
35
Scottish Gaelic
36
Welsh
37
Greek
38
Albanian
39
Russian
40
Bielo-, White Russian
41
Ukrainian, Ruthenian, Little Russian
42
Czech
43
Polish
44
Kashubian, Slovincian
45
Slovak
46
Serbo-Croatian, Yugoslavian, Slavonian
47
Croatian
48
Serbian
49
Slovene
50
Lithuanian
51
Lettish
52
Bulgarian
53
Lusatian, Sorbian, Wendish
54
Macedonian
55
Armenian
56
Persian, Iranian, Farssi
57
Pashto, Afghan
58
Kurdish
59
Balochi
60
Tadzhik
61
Ossete
62
Hindi
63
Sanskrit
64
Urdu
65
Bengali
66
Panjabi
67
Marathi
68
Gujarathi
69
Bihari
70
Rajasthani
71
Oriya
72
Assamese
73
Kashmiri
74
Sindhi
75
Maldivian
76
Sinhalese
77
Kannada
78
India n.e.c.
79
Pakistan n.e.c.
80
Estonian
81
Other Indo-European languages
82
Romany, Gypsy
83
Finnish
84
Magyar, Hungarian
85
Lapp, Inari, Kola, Lule, Pite, Ruija, Skolt, Um
86
Other Uralic
87
Turkish
88
Kirghiz
89
Chuvash
90
Karakalpak
91
Kazakh
92
Karachay, Tatar, Balkar, Bashkir, Kumyk
93
Uzbek, Uighur
94
Azerbaijani
95
Mongolian
96
Tungus
97
Caucasian, Georgian, Avar
98
Basque
99
Dravidian
100
Brahui
101
Gondi
102
Telugu
103
Malayalam
104
Tamil
105
Bhili
106
Nepali
107
Kurukh
108
Munda
109
Burushaski
110
Chinese
111
Cantonese
112
Mandarin
113
Hakka, Fukien, K'echia
114
Kan, Nan Chang
115
Fuchow, Min Pei
116
Wu
117
Tibetan
118
Hsiang, Chansa, Hunan, Iyan
119
Miao-Yao, Mien
120
Miao, Hmong
121
Burmese, Lisu, Lolo
122
Karen
123
Kachin
124
Thai
125
Laotian
126
Japanese
127
Korean
128
Vietnamese
129
Ainu
130
Mon-Khmer, Cambodian
131
Yukagir
132
Muong
133
Indonesian
134
Buginese
135
Achinese
136
Balinese
137
Madurese
138
Cham
139
Malay
140
Minangkabau
141
Other Asian languages
142
Formosan, Taiwanese
143
Javanese
144
Malagasy
145
Sundanese
146
Filipino, Tagalog
147
Bisayan
148
Sebuano
149
Pangasinan
150
Llocano, Hocano
151
Bikol
152
Pampangan
153
Gorontalo
154
Palau
155
Micronesian
156
Carolinian
157
Chamorro, Guamanian
158
Gilbertese
159
Kusaiean
160
Marshallese
161
Mokilese
162
Nauruan
163
Ponapean
164
Trukese
165
Ulithean, Fais
166
Woleai-Ulithi
167
Yapese
168
Melanesian
169
Polynesian
170
Samoan
171
Tongan
172
Other Pacific Island languages
173
Tokelauan
174
Fijian
175
Marquesan
176
Rarotongan
177
Maori
178
Nukuoro, Kapingarangan
179
Hawaiian
180
Arabic
181
Syriac, Aramaic, Chaldean
182
Hebrew, Israeli
183
Amharic, Ethiopian, etc.
184
Berber
185
Chadic, Hamitic, Hausa
186
Cushite, Beja, Somali
187
Nilotic
188
Nilo-Hamitic
189
Nubian
190
Saharan
191
Nilo-Saharan, Fur, Songhai
192
Khoisan
193
Sudanic
194
Bantu (many subheads)
195
Swahili
196
Mande
197
Fulani
198
Gur
199
Kru
200
Efik, Ibibio, Tiv
201
Mbum, Gbaya, Sango, Zande
202
Other specified African languages
203
African, n.s.
204
Aleut, Eskimo
205
Apache
206
Other Algonquin languages
207
Inupik, Innuit
208
St Lawrence Isl Yupik
209
Yupik
210
Algonquian
211
Arapaho
212
Atsina, Gros Ventre
213
Blackfoot
214
Cheyenne
215
Cree
216
Delaware, Lenni-Lenape
217
Fox, Sac
218
Kickapoo
219
Menomini
220
Metis, French Cree
221
Miami
222
Micmac
223
Ojibwa, Chippewa
224
Ottawa
225
Passamaquoddy, Malecite
226
Penobscot
227
Potawatomi
228
Shawnee
229
Salish, Flathead
230
Clallam
231
Coeur d'Alene, Skitsamish
232
Columbia, Chelan, Wenatchee
233
Nootsack
234
Okanogan
235
Puget Sound Salish
236
Kalispel
237
Spokane
238
Athapascan
239
Han
240
Koyukon
241
Kuchin
242
Tanaina
243
Chasta Costa, Chetco, Coquille, Smith River Ath
244
Hupa
245
Apache
246
Jicarilla, Lipan
247
Chiricahua, Mescalero
248
San Carlos, Cibecue, White Mountain
249
Kiowa-Apache
250
Kiowa
251
Navajo
252
Klamath, Modoc
253
Nez Perce
254
Sahaptian, Celilo, Klikitat, Palouse, Tenino, U
255
Mountain Maidu, Maidu
256
Sierra Miwok, Miwok
257
Wintun
258
Foothill North Yokuts
259
Tachi
260
Siuslaw, Coos, Lower Umpqua
261
Tsimshian
262
Upper Chinook, Clackamas, Multnomah, Wasco, Wis
263
Chinook Jargon
264
Zuni
265
Yuman
266
Cocomaricopa
267
Mohave
268
Diegueno
269
Delta River Yuman
270
Havasupai
271
Walapai
272
Yavapai
273
Achumawi
274
Karok
275
Pomo
276
Washo
277
Crow, Absaroke
278
Hidatsa
279
Mandan
280
Dakota, Lakota, Nakota, Sioux
281
Chiwere
282
Winnebago
283
Omaha
284
Osage
285
Ponca
286
Alabama
287
Choctaw, Chickasaw
288
Mikasuki
289
Koasati
290
Muskogee, Creek, Seminole
291
Keres
292
Iroquoian
293
Mohawk
294
Oneida
295
Onondaga
296
Cayuga
297
Seneca
298
Tuscarora
299
Cherokee
300
Yupik
301
Algonquian
302
Choctaw, Chickasaw
303
Caddoan
304
Arikara
305
Pawnee
306
Wichita
307
Comanche
308
Mono, Owens Valley Paiute
309
Paiute
310
Chemehuevi
311
Ute
312
Shoshoni
313
Hopi
314
Cahuilla
315
Luiseno
316
Pima, Papago
317
Yaqui
318
Aztecan, Mexicano, Nahua
319
Picuris, Northern Tiwa, Taos
320
Tiwa, Isleta
321
Sandia
322
Tewa, Hano, Hopi-Tewa, San Ildefonso, San Juan,
323
Towa
324
Yurok
325
Makah
326
Kutenai
327
Haida
328
Tlingit, Chilkat, Sitka, Tongass, Yakutat
329
Yuchi
330
Misumalpan
331
Mayan languages
332
Tarascan
333
Mapuche
334
Oto-Manguen
335
Quechua
336
Arawakian
337
Chibchan
338
Tupi-Guarani
339
American Indian, ns
340
Other specified American Indian languages
341
South/Central American Indian
998
Other nec
This variable indicates the language that the respondent speaks at home in the United States and Puerto Rico.
Ethnicity and Language Variables -- PERSON
IPUMS
School attendance
School attendance
School attendance
School attendance
School attendance
NIU (not in universe)
1
Yes
2
No, not specified
3
No, attended in the past
4
No, never attended
9
Unknown/missing
SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
Education Variables -- PERSON
IPUMS
Educational attainment, United States
Educational attainment, United States
Educational attainment, United States
Educational attainment, United States
Educational attainment, United States
NIU (not in universe)
100
None or preschool
101
None
102
Nursery school
103
Kindergarten
200
Grades 1 to 4
201
Grade 1
202
Grade 2
203
Grade 3
204
Grade 4
300
Grades 5 to 8
301
Grade 5
302
Grade 6
303
Grade 7
304
Grade 8
400
Grade 9
500
Grade 10
600
Grade 11
700
Grade 12
701
Grade 12, no diploma
702
High school graduate or equivalency degree
703
High school diploma
704
Graduate equivalency diploma (GED)
800
Post-secondary
810
Post-secondary: years of schooling (1960-1980)
811
1 year of college
812
2 years of college
813
3 years of college
814
4 years of college
815
5 years of college
816
6 years of college (6+ years, 1960-1970)
817
7 years of college
818
8+ years of college (1980)
820
Post-secondary: degree (1990-2010)
821
Some college, no degree
822
Associate degree, occupational
823
Associate degree, academic
824
Associate dregree, type not specified
825
Bachelors degree
826
Masters degree
827
Professional degree
828
Doctorate degree
EDUCUS indicates the highest educational level that the person had completed at the time of the census.
Education Variables -- PERSON
IPUMS
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
NIU (not in universe)
1
Employed
2
Unemployed
3
Inactive
9
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
NIU (not in universe)
100
Employed, not specified
110
At work
111
At work, and 'student'
112
At work, and 'housework'
113
At work, and 'seeking work'
114
At work, and 'retired'
115
At work, and 'no work'
116
At work, and other situation
117
At work, family holding, not specified
118
At work, family holding, not agricultural
119
At work, family holding, agricultural
120
Have job, not at work in reference period
130
Armed forces
131
Armed forces, at work
132
Armed forces, not at work in reference period
133
Military trainee
140
Marginally employed
200
Unemployed, not specified
201
Unemployed 6 or more months
202
Worked fewer than 6 months, permanent job
203
Worked fewer than 6 months, temporary job
210
Unemployed, experienced worker
220
Unemployed, new worker
230
No work available
240
Inactive unemployed
300
Inactive (not in labor force)
310
Housework
320
Unable to work/disabled
321
Permanent disability
322
Temporary illness
323
Disabled or imprisoned
330
In school
340
Retirees and living on rent
341
Living on rents
342
Living on rents or pension
343
Retirees/pensioners
344
Retired
345
Pensioner
346
Non-retirement pension
347
Disability pension
348
Retired without benefits
350
Elderly
351
Elderly or disabled
360
Institutionalized
361
Prisoner
370
Intermittent worker
371
Not working, seasonal worker
372
Not working, occasional worker
380
Other income recipient
390
Inactive, other reasons
391
Too young to work
392
Dependent
999
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
1
Legislators, senior officials and managers
2
Professionals
3
Technicians and associate professionals
4
Clerks
5
Service workers and shop and market sales
6
Skilled agricultural and fishery workers
7
Crafts and related trades workers
8
Plant and machine operators and assemblers
9
Elementary occupations
10
Armed forces
11
Other occupations, unspecified or n.e.c.
97
Response suppressed
98
Unknown
99
NIU (not in universe)
OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.
Work Variables -- PERSON
IPUMS
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.
Work Variables -- PERSON
IPUMS
Occupation 1950 basis, U.S.
Occupation 1950 basis, U.S.
Occupation 1950 basis, U.S.
Occupation 1950 basis, U.S.
Occupation 1950 basis, U.S.
Accountants and auditors
1
Actors and actresses
2
Airplane pilots and navigators
3
Architects
4
Artists and art teachers
5
Athletes
6
Authors
7
Chemists
8
Chiropractors
9
Clergymen
10
College presidents and deans
12
Agricultural sciences
13
Biological sciences
14
Chemistry
15
Economics
16
Engineering
17
Geology and geophysics
18
Mathematics
19
Medical sciences
23
Physics
24
Psychology
25
Statistics
26
Natural science (n.e.c.)
27
Social sciences (n.e.c.)
28
Nonscientific subjects
29
Subject not specified
31
Dancers and dancing teachers
32
Dentists
33
Designers
34
Dieticians and nutritionists
35
Draftsmen
36
Editors and reporters
41
Engineers, aeronautical
42
Engineers, chemical
43
Engineers, civil
44
Engineers, electrical
45
Engineers, industrial
46
Engineers, mechanical
47
Engineers, metallurgical, metallurgists
48
Engineers, mining
49
Engineers (n.e.c.)
51
Entertainers (n.e.c.)
52
Farm and home management advisors
53
Foresters and conservationists
54
Funeral directors and embalmers
55
Lawyers and judges
56
Librarians
57
Musicians and music teachers
58
Nurses, professional
59
Nurses, student professional
61
Agricultural scientists
62
Biological scientists
63
Geologists and geophysicists
67
Mathematicians
68
Physicists
69
Miscellaneous natural scientists
70
Optometrists
71
Osteopaths
72
Personnel and labor relations workers
73
Pharmacists
74
Photographers
75
Physicians and surgeons
76
Radio operators
77
Recreation and group workers
78
Religious workers
79
Social and welfare workers, except group
81
Economists
82
Psychologists
83
Statisticians and actuaries
84
Miscellaneous social scientists
91
Sports instructors and officials
92
Surveyors
93
Teachers (n.e.c.)
94
Technicians, medical and dental
95
Technicians, testing
96
Technicians (n.e.c.)
97
Therapists and healers (n.e.c.)
98
Veterinarians
99
Professional, technical and kindred workers (n.e.c.)
100
Farmers (owners and tenants)
123
Farm managers
200
Buyers and department heads, store
201
Buyers and shippers, farm products
203
Conductors, railroad
204
Credit men
205
Floormen and floor managers, store
210
Inspectors, public administration
230
Managers and superintendents, building
240
Officers, pilots, pursers and engineers, ship
250
Officials and administrators (n.e.c.), public administration
260
Officials, lodge, society, union, etc.
270
Postmasters
280
Purchasing agents and buyers (n.e.c.)
290
Managers, officials, and proprietors (n.e.c.)
300
Agents (n.e.c.)
301
Attendants and assistants, library
302
Attendants, physician's and dentist's office
304
Baggagemen, transportation
305
Bank tellers
310
Bookkeepers
320
Cashiers
321
Collectors, bill and account
322
Dispatchers and starters, vehicle
325
Express messengers and railway mail clerks
335
Mail carriers
340
Messengers and office boys
341
Office machine operators
342
Shipping and receiving clerks
350
Stenographers, typists, and secretaries
360
Telegraph messengers
365
Telegraph operators
370
Telephone operators
380
Ticket, station, and express agents
390
Clerical and kindred workers (n.e.c.)
400
Advertising agents and salesmen
410
Auctioneers
420
Demonstrators
430
Hucksters and peddlers
450
Insurance agents and brokers
460
Newsboys
470
Real estate agents and brokers
480
Stock and bond salesmen
490
Salesmen and sales clerks (n.e.c.)
500
Bakers
501
Blacksmiths
502
Bookbinders
503
Boilermakers
504
Brickmasons, stonemasons, and tile setters
505
Cabinetmakers
510
Carpenters
511
Cement and concrete finishers
512
Compositors and typesetters
513
Cranemen, derrickmen, and hoistmen
514
Decorators and window dressers
515
Electricians
520
Electrotypers and stereotypers
521
Engravers, except photoengravers
522
Excavating, grading, and road machinery operators
523
Foremen (n.e.c.)
524
Forgemen and hammermen
525
Furriers
530
Glaziers
531
Heat treaters, annealers, temperers
532
Inspectors, scalers, and graders, log and lumber
533
Inspectors (n.e.c.)
534
Jewelers, watchmakers, goldsmiths, and silversmiths
535
Job setters, metal
540
Linemen and servicemen, telegraph, telephone, and power
541
Locomotive engineers
542
Locomotive firemen
543
Loom fixers
544
Machinists
545
Mechanics and repairmen, airplane
550
Mechanics and repairmen, automobile
551
Mechanics and repairmen, office machine
552
Mechanics and repairmen, radio and television
553
Mechanics and repairmen, railroad and car shop
554
Mechanics and repairmen (n.e.c.)
555
Millers, grain, flour, feed, etc.
560
Millwrights
561
Molders, metal
562
Motion picture projectionists
563
Opticians and lens grinders and polishers
564
Painters, construction and maintenance
565
Paperhangers
570
Pattern and model makers, except paper
571
Photoengravers and lithographers
572
Piano and organ tuners and repairmen
573
Plasterers
574
Plumbers and pipe fitters
575
Pressmen and plate printers, printing
580
Rollers and roll hands, metal
581
Roofers and slaters
582
Shoemakers and repairers, except factory
583
Stationary engineers
584
Stone cutters and stone carvers
585
Structural metal workers
590
Tailors and tailoresses
591
Tinsmiths, coppersmiths, and sheet metal workers
592
Tool makers, and die makers and setters
593
Upholsterers
594
Craftsmen and kindred workers (n.e.c.)
595
Members of the armed services
600
Apprentice auto mechanics
601
Apprentice bricklayers and masons
602
Apprentice carpenters
603
Apprentice electricians
604
Apprentice machinists and toolmakers
605
Apprentice mechanics, except auto
610
Apprentice plumbers and pipe fitters
611
Apprentices, building trades (n.e.c.)
612
Apprentices, metalworking trades (n.e.c.)
613
Apprentices, printing trades
614
Apprentices, other specified trades
615
Apprentices, trade not specified
620
Asbestos and insulation workers
621
Attendants, auto service and parking
622
Blasters and powdermen
623
Boatmen, canalmen, and lock keepers
624
Brakemen, railroad
625
Bus drivers
630
Chainmen, rodmen, and axmen, surveying
631
Conductors, bus and street railway
632
Deliverymen and routemen
633
Dressmakers and seamstresses, except factory
634
Dyers
635
Filers, grinders, and polishers, metal
640
Fruit, nut, and vegetable graders, and packers, except factory
641
Furnacemen, smeltermen and pourers
642
Heaters, metal
643
Laundry and dry cleaning operatives
644
Meat cutters, except slaughter and packing house
645
Milliners
650
Mine operatives and laborers
660
Motormen, mine, factory, logging camp, etc.
661
Motormen, street, subway, and elevated railway
662
Oilers and greaser, except auto
670
Painters, except construction or maintenance
671
Photographic process workers
672
Power station operators
673
Sailors and deck hands
674
Sawyers
675
Spinners, textile
680
Stationary firemen
681
Switchmen, railroad
682
Taxicab drivers and chauffers
683
Truck and tractor drivers
684
Weavers, textile
685
Welders and flame cutters
690
Operative and kindred workers (n.e.c.)
700
Housekeepers, private household
710
Laundressses, private household
720
Private household workers (n.e.c.)
730
Attendants, hospital and other institution
731
Attendants, professional and personal service (n.e.c.)
732
Attendants, recreation and amusement
740
Barbers, beauticians, and manicurists
750
Bartenders
751
Bootblacks
752
Boarding and lodging house keepers
753
Charwomen and cleaners
754
Cooks, except private household
760
Counter and fountain workers
761
Elevator operators
762
Firemen, fire protection
763
Guards, watchmen, and doorkeepers
764
Housekeepers and stewards, except private household
770
Janitors and sextons
771
Marshals and constables
772
Midwives
773
Policemen and detectives
780
Porters
781
Practical nurses
782
Sheriffs and bailiffs
783
Ushers, recreation and amusement
784
Waiters and waitresses
785
Watchmen (crossing) and bridge tenders
790
Service workers, except private household (n.e.c.)
810
Farm foremen
820
Farm laborers, wage workers
830
Farm laborers, unpaid family workers
840
Farm service laborers, self-employed
910
Fishermen and oystermen
920
Garage laborers and car washers and greasers
930
Gardeners, except farm, and groundskeepers
940
Longshoremen and stevedores
950
Lumbermen, raftsmen, and woodchoppers
960
Teamsters
970
Laborers (n.e.c.)
997
Occupation missing/unknown
999
NIU (not in universe)
OCC95US provides a consistent classification of occupation across U.S. samples. Occupation describes the type of (usually market-oriented) work the person performs.
Note regarding universe: "New workers" are persons seeking employment for the first time who have not yet secured their first job.
Work Variables -- PERSON
IPUMS
Industry, general recode
Industry, general recode
Industry, general recode
Industry, general recode
Industry, general recode
NIU (not in universe)
10
Agriculture, fishing, and forestry
20
Mining
30
Manufacturing
40
Electricity, gas and water
50
Construction
60
Wholesale and retail trade
70
Hotels and restaurants
80
Transportation and communications
90
Financial services and insurance
100
Public administration and defense
110
Services, not specified
111
Real estate and business services
112
Education
113
Health and social work
114
Other services
120
Private household services
130
Other industry, n.e.c.
998
Response suppressed
999
Unknown
INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.
"Industry" refers to the activity or product of the establishment or sector in which a person worked.
Work Variables -- PERSON
IPUMS
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.
Work Variables -- PERSON
IPUMS
Industry 1950 basis, U.S.
Industry 1950 basis, U.S.
Industry 1950 basis, U.S.
Industry 1950 basis, U.S.
Industry 1950 basis, U.S.
NIU (not in universe)
105
Agriculture
116
Forestry
126
Fisheries
206
Metal mining
216
Coal mining
226
Crude petroleum and natural gas extraction
236
Nonmetallic mining and quarrying, except fuel
246
Construction
306
Logging
307
Sawmills, planing mills, and mill work
308
Miscellaneous wood products
309
Furniture and fixtures
316
Glass and glass products
317
Cement, concrete, gypsum and plaster products
318
Structural clay products
319
Pottery and related products
326
Miscellaneous nonmetallic mineral and stone products
336
Blast furnaces, steel works, and rolling mills
337
Other primary iron and steel industries
338
Primary nonferrous industries
346
Fabricated steel products
347
Fabricated nonferrous metal products
348
Not specified metal industries
356
Agricultural machinery and tractors
357
Office and store machines and devices
358
Miscellaneous machinery
367
Electrical machinery, equipment, and supplies
376
Motor vehicles and motor vehicle equipment
377
Aircraft and parts
378
Ship and boat building and repairing
379
Railroad and miscellaneous transportation equipment
386
Professional equipment and supplies
387
Photographic equipment and supplies
388
Watches, clocks, and clockwork-operated devices
399
Miscellaneous manufacturing industries
406
Meat products
407
Dairy products
408
Canning and preserving fruits, vegetables, and seafoods
409
Grain-mill products
416
Bakery products
417
Confectionery and related products
418
Beverage industries
419
Miscellaneous food preparations and kindred products
426
Not specified food industries
429
Tobacco manufactures
436
Knitting mills
437
Dyeing and finishing textiles, except knit goods
438
Carpets, rugs, and other floor coverings
439
Yarn, thread, and fabric mills
446
Miscellaneous textile mill products
448
Apparel and accessories
449
Miscellaneous fabricated textile products
456
Pulp, paper, and paperboard mills
457
Paperboard containers and boxes
458
Miscellaneous paper and pulp products
459
Printing, publishing, and allied industries
466
Synthetic fibers
467
Drugs and medicines
468
Paints, varnishes, and related products
469
Miscellaneous chemicals and allied products
476
Petroleum refining
477
Miscellaneous petroleum and coal products
478
Rubber products
487
Leather: tanned, curried, and finished
488
Footwear, except rubber
489
Leather products, except footwear
499
Not specified manufacturing industries
506
Railroads and railway express service
516
Street railways and bus lines
526
Trucking service
527
Warehousing and storage
536
Taxicab service
546
Water transportation
556
Air transportation
567
Petroleum and gasoline pipe lines
568
Services incidental to transportation
578
Telephone
579
Telegraph
586
Electric light and power
587
Gas and steam supply systems
588
Electric-gas utilities
596
Water supply
597
Sanitary services
598
Other and not specified utilities
606
Motor vehicles and equipment
607
Drugs, chemicals, and allied products
608
Dry goods apparel
609
Food and related products
616
Electrical goods, hardware, and plumbing equipment
617
Machinery, equipment, and supplies
618
Petroleum products
619
Farm products--raw materials
626
Miscellaneous wholesale trade
627
Not specified wholesale trade
636
Food stores, except dairy products
637
Dairy products stores and milk retailing
646
General merchandise stores
647
Five and ten cent stores
656
Apparel and accessories stores, except shoe
657
Shoe stores
658
Furniture and house furnishing stores
659
Household appliance and radio stores
667
Motor vehicles and accessories retailing
668
Gasoline service stations
669
Drug stores
679
Eating and drinking places
686
Hardware and farm implement stores
687
Lumber and building material retailing
688
Liquor stores
689
Retail florists
696
Jewelry stores
697
Fuel and ice retailing
698
Miscellaneous retail stores
699
Not specified retail trade
716
Banking and credit agencies
726
Security and commodity brokerage and investment companies
736
Insurance
746
Real estate
756
Real estate-insurance-law offices
806
Advertising
807
Accounting, auditing, and bookkeeping services
808
Miscellaneous business services
816
Auto repair services and garages
817
Miscellaneous repair services
826
Private households
836
Hotels and lodging places
846
Laundering, cleaning, and dyeing services
847
Dressmaking shops
848
Shoe repair shops
849
Miscellaneous personal services
856
Radio broadcasting and television
857
Theaters and motion pictures
858
Bowling alleys, and billiard and pool parlors
859
Miscellaneous entertainment and recreation services
868
Medical and other health services, except hospitals
869
Hospitals
879
Legal services
888
Educational services
896
Welfare and religious services
897
Nonprofit membership organizations
898
Engineering and architectural services
899
Miscellaneous professional and related services
906
Postal service
916
Federal public administration
926
State public administration
936
Local public administration
946
Public Administration, level not specified
976
Common or General laborer
982
Housework at home
983
School response (students, etc.)
984
Retired
987
Institution response
991
Lady/Man of leisure
997
Nonclassifiable
998
Industry not reported
IND95US provides a consistent classification of industry across U.S. samples. Industry describes the type of goods or services produced by the place in which a person worked.
Note regarding universe: "New workers" are persons seeking employment for the first time who had not yet secured their first job.
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
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
Total income
Total income
Total income
Total income
Total income
INCTOT reports the person's total personal income from all sources in the previous month or year.
Income Variables -- PERSON
IPUMS
Earned income
Earned income
Earned income
Earned income
Earned income
INCEARN reports the person's total income from their labor (from wages, a business, or a farm) in the previous month or year.
Income Variables -- PERSON
IPUMS
Wage and salary income
Wage and salary income
Wage and salary income
Wage and salary income
Wage and salary income
INCWAGE reports the respondent's weekly, monthly or annual wage and salary income.
Income Variables -- PERSON
IPUMS
Income from anti-poverty or welfare programs
Income from anti-poverty or welfare programs
Income from anti-poverty or welfare programs
Income from anti-poverty or welfare programs
Income from anti-poverty or welfare programs
INCWEL reports the monthly or annual income the respondent received from anti-poverty or welfare programs.
Income Variables -- PERSON
IPUMS
Retirement or pension income
Retirement or pension income
Retirement or pension income
Retirement or pension income
Retirement or pension income
INCRET reports the amount of income the respondent received from a retirement program or account, or from a pension. The amounts are provided on a monthly or annual basis, depending on the sample.
Income Variables -- PERSON
IPUMS
State of residence 5 years ago, United States
State of residence 5 years ago, United States
State of residence 5 years ago, United States
State of residence 5 years ago, United States
State of residence 5 years ago, United States
NIU (not in universe)
1
Alabama
2
Alaska
4
Arizona
5
Arkansas
6
California
8
Colorado
9
Connecticut
10
Delaware
11
District of Columbia
12
Florida
13
Georgia
15
Hawaii
16
Idaho
17
Illinois
18
Indiana
19
Iowa
20
Kansas
21
Kentucky
22
Louisiana
23
Maine
24
Maryland
25
Massachusetts
26
Michigan
27
Minnesota
28
Mississippi
29
Missouri
30
Montana
31
Nebraska
32
Nevada
33
New Hampshire
34
New Jersey
35
New Mexico
36
New York
37
North Carolina
38
North Dakota
39
Ohio
40
Oklahoma
41
Oregon
42
Pennsylvania
44
Rhode Island
45
South Carolina
46
South Dakota
47
Tennessee
48
Texas
49
Utah
50
Vermont
51
Virginia
53
Washington
54
West Virginia
55
Wisconsin
56
Wyoming
98
Abroad
99
Unknown
MIGUS1 indicates the person's state of residence within the United States 5 years ago.
Migration Variables -- PERSON
IPUMS
Personal care limitation
Personal care limitation
Personal care limitation
Personal care limitation
Personal care limitation
NIU (not in universe)
1
Yes, personal care limitation
2
No personal care limitation
9
Unknown
DISCARE indicates whether the respondent had any permanent condition that made it difficult for him/her to take care of their personal needs.
Disability Variables -- PERSON
IPUMS
Disability limiting mobility
Disability limiting mobility
Disability limiting mobility
Disability limiting mobility
Disability limiting mobility
NIU (not in universe)
1
Mobility limited
2
No mobility limitation
DISMOBL indicates whether the respondent had any permanent physical or mental health condition that made it difficult or impossible to be independently mobile. This did not include temporary health problems.
Disability Variables -- PERSON
IPUMS
Work disability
Work disability
Work disability
Work disability
Work disability
NIU (not in universe)
1
No disability that affects work
2
Disability limits but does not prevent work
3
Disability prevents work
4
Disability causes difficulty working
DISWORK indicates whether the respondent had any lasting physical or mental health condition, that either limited the amount or type of work they could do or prevented them from working altogether. This did not include temporary health conditions.
Disability Variables -- PERSON
IPUMS
Months worked last year
Months worked last year
Months worked last year
Months worked last year
Months worked last year
0 months
1
1 month
2
2 months
3
3 months
4
4 months
5
5 months
6
6 months
7
7 months
8
8 months
9
9 months
10
10 months
11
11 months
12
12 months
98
Not reported/unknown
99
NIU (not in universe)
WRKMTHS gives the number of months that the respondent worked for profit, pay, or as an unpaid family worker during the previous year.
Work Variables -- PERSON
IPUMS
Self-employment income
Self-employment income
Self-employment income
Self-employment income
Self-employment income
INCSELF indicates the respondent's monthly or annual income from self employment (farm and business).
Income Variables -- PERSON
IPUMS
Person number in sample unit
Person number in sample unit
Person number in sample unit
Person number in sample unit
Person number in sample unit
Person number in sample unit
All persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
This variable indicates all persons within each household consecutively in the order in which they appear on the original census or survey form.
Technical Person Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
Person weight
All persons
This variable indicates how many persons in the U.S. population are represented by a given person in an IPUMS sample.
Technical Person Variables -- PERSON
IPUMS
Mother's location in the household
Mother's location in the household
Mother's location in the household
Mother's location in the household
Mother's location in the household
Mother's location in the household
All persons
No mother of this person present in household.Â
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
21
21
24
24
This variable indicates whether the person's mother lived in the same household and, if so, gives the person number of the mother.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable step/adopted mother
Probable step/adopted mother
Probable step/adopted mother
Probable step/adopted mother
Probable step/adopted mother
Probable step/adopted mother
All persons
No stepmother present
1
Improbable age difference
2
Spouse of father
3
Identified stepmother
7
Number of children born/children surviving check
This variable indicates whether the person's father lived in the same household and, if so, gives the person number of the father.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking mother
Rule for linking mother
Rule for linking mother
Rule for linking mother
Rule for linking mother
Rule for linking mother
All persons
No mother link
1
Unambiguous mother link
2
Daughter/grandchild link
3
Preceding female (no intervening person)
5
Daughter/grandchild (child surviving status)
6
Preceding female (child surviving status)
7
Spouse of father becomes stepmother
This variable indicates why the IPUMS variable MOMLOC linked the person to a probable mother.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Father's location in the household
Father's location in the household
Father's location in the household
Father's location in the household
Father's location in the household
Father's location in the household
All persons
No father of this person present in household.Â
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
20
20
22
22
This variable indicates whether the person's father lived in the same household and, if so, gives the person number of the father.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable step/adopted father
Probable step/adopted father
Probable step/adopted father
Probable step/adopted father
Probable step/adopted father
Probable step/adopted father
All persons
No stepfather present
1
Improbable age difference
2
Spouse of mother
3
Identified stepfather
This variable indicates whether a person's father, was likely to have been the person's stepfather or adoptive father.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking father
Rule for linking father
Rule for linking father
Rule for linking father
Rule for linking father
Rule for linking father
All persons
No father link
1
Unambiguous father link
2
Son/granchild link
3
Preceding male (no intervening person)
4
Husband of mother becomes stepfather
This variable indicates the reason why the IPUMS variable POPLOC linked the person to a probable 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
Spouse's location in household
All persons
No spouse of this person present in household.Â
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
This variable indicates whether the person's spouse lived in the same household and, if so, gives the person number of the spouse.
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
Rule for linking spouse
All persons
No spouse link
1
Wife follows husband
2
Wife precedes husband
3
Non-adjacent persons -- consistent relationship to head/age differences
4
Adjacent persons (wife follows husband -- no conflicts)
5
Adjacent persons (wife precedes husband -- no conflicts)
This variable indicates the reason why the IPUMS variable SPLOC linked the person to a probable spouse.
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
Number of own family members in household
All persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
24
24
25
25
26
26
27
27
This variable indicates the number of own family members residing with each individual, including the person her/himself.
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
Number of own children in household
All persons
No children present
1
1 child present
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
This variable indicates the number of own children (of any age or marital status) residing with each individual.
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
Number of own children under age 5 in household
All persons
No children under age 5
1
1 child under age 5
2
2
3
3
4
4
5
5
6
6
7
7
8
8
This variable indicates the number of own children age 4 and under residing with each individual.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Family unit membership
Family unit membership
Family unit membership
Family unit membership
Family unit membership
Family unit membership
All persons
1
1 st family in hh or group quarters
2
2 nd family in hh or group quarters
3
3 rd
4
4 th
5
5 th
6
6 th
7
7 th
8
8 th
9
9 th
This variable indicates which family within the housing unit each person belongs to.
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
Age of eldest own child in household
Persons in private, occupied dwellings
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
99
NIU (not in universe)
This variable indicates the age of the eldest own child (if any) residing with each individual, regardless of the child's age or marital status.
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
Age of youngest own child in household
Persons in private, occupied dwellings
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
99
NIU (not in universe)
This variable indicates the age of the youngest own child (if any) residing with each individual, regardless of the child's age or marital status.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own siblings in household
Number of own siblings in household
Number of own siblings in household
Number of own siblings in household
Number of own siblings in household
Number of own siblings in household
All persons
0 siblings and persons in collective dwellings
1
1 sibling
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
This variable indicates the number of own siblings (including half-siblings, step-siblings, and adopted siblings) residing with each individual.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
2. How is this person related to person 1 [the head of household]?
Fill one circle for each person. If other relative of person in column 1, fill circle and print exact relationship, such as mother-in-law, grandparent, son-in-law, niece, cousin, and so on.
[Person 1 was not to answer this question.]
If a relative of person 1:
[] Husband/wife
[] Natural-born or adopted son/daughter
[] Stepson/stepdaughter
[] Brother/sister
[] Father/mother
[] Grandchild
[] Other relative:
____________________
If not related to person 1:
[] Roomer, boarder, or foster child
[] Housemate, roommate
[] Unmarried partner
[] Other nonrelative
[Fill one circle to show how each person is related to the person in column 1. If other relative of the person in column 1, print the exact relationship such as son-in-law, daughter-in-law, grandparent, nephew, niece, mother-in-law, father-in-law, cousin, and so on. If the stepson/stepdaughter of the person in column 1 also has been legally adopted by the person in column 1, mark stepson/stepdaughter but do not mark natural-born or adopted son/daughter. In other words, stepson/stepdaughter takes precedence over adopted son/daughter.]
All persons
101
Head/householder
201
Spouse
301
Child
303
Stepchild
401
Child-in-law
501
Parent
601
Parent-in-law
701
Sibling
801
Sibling-in-Law
901
Grandchild
1001
Other relatives, n.s.
1011
Grandparent
1021
Aunt or uncle
1031
Nephew, niece
1041
Cousin
1061
Other relatives, n.e.c.
1114
Unmarried partner
1115
Housemate/roommate
1240
Roomer/boarders/lodgers and foster children
1260
Other non-relatives, including employees
1270
Non-inmate group quarters
1301
Institutional inmates
This variable indicates an individual's relationship to the head of household or householder.
Demographic Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
5. Age and year of birth
a. Print each person's age at last birthday. Fill in the matching circle below each box.
_ _ _ a. Age b. Year of birth
b. Print each person's year of birth and fill the matching circle below each box.
1 _ _ _ b. Year of birth
[Print age at last birthday in the space provided (print "00" for babies less than 1 year old). Fill in the matching circle below each box. For an illustration of how to complete question 5, see the Example on page 2 of this guide [omitted].]
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 or older
This variable indicates the respondent's age in years.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
3. Sex
Fill one circle for each person.
[] Male
[] Female
All persons
1
Male
2
Female
This variable indicates the sex of the individual.
Demographic Variables -- PERSON
IPUMS
Race
Race
Race
Race
Race
4. Race
Fill one circle for the race that the person considers himself/herself to be.
If Indian (Amer.), print the name of the enrolled or principal tribe.
If Other Asian or Pacific Islander (API), print one group, for example: Hmong, Fijian, Laotian, Thai, Tongan, Pakistani, Cambodian, and so on.
If Other race, print race.
[] White
[] Black or Negro
[] Indian (Amer.) (Print the name of the enrolled or principal tribe.)
____
[] Eskimo
[] Aleut
Asian or Pacific Islander (API)
[] Chinese
[] Filipino
[] Hawaiian
[] Korean
[] Vietnamese
[] Japanese
[] Asian Indian
[] Samoan
[] Guamanian
[] Other API
____
[] Other race (Print race)
____
[Fill one circle for the race each person considers himself/herself to be. If you fill the Indian (Amer.) circle, print the name of the tribe or tribes in which the person is enrolled. If the person is not enrolled in a tribe, print the name of the principal tribe(s). If you fill the Other API circle [under Asian or Pacific Islander (API)], only print the name of the group to which the person belongs. For example, the Other API category includes persons who identify as Burmese, Fijian, Hmong, Indonesian, Laotian, Bangladeshi, Pakistani, Tongan, Thai, Cambodian, Sri Lankan, and so on. If you fill the Other race circle, be sure to print the name of the race. If the person considers himself/herself to be White, Black or Negro, Eskimo or Aleut, fill one circle only. Please do not print the race in the boxes. The Black or Negro category also includes persons who identify as African-American, Afro-American, Haitian, Jamaican, West Indian, Nigerian, and so on. All persons, regardless of citizenship status, should answer this question.]
All persons
100
White
110
Spanish write-in
200
Black/Negro
301
Alaskan Athabaskan
302
Apache
303
Blackfoot
304
Cherokee
305
Cheyenne
306
Chickasaw
307
Chippewa
308
Choctaw
309
Comanche
310
Creek
311
Crow
312
Iroquois
313
Kiowa
314
Lumbee
315
Navajo
316
Osage
317
Paiute
318
Pima
319
Potawatomi
320
Pueblo
321
Seminole
322
Shoshone
323
Sioux
324
Tlingit
325
Tohono O Odham
326
All other tribes
327
Tribe not specified
330
Aleut
340
Eskimo
400
Chinese
410
Taiwanese
500
Japanese
600
Filipino
610
Asian Indian
620
Korean
630
Native Hawaiian
640
Vietnamese
660
Cambodian
661
Hmong
662
Laotian
663
Thai
664
Bangladeshi
665
Burmese
666
Indonesian
667
Malaysian
668
Okinawan
669
Pakistani
670
Sri Lankan
671
All other Asian, n.e.c.
680
Samoan
681
Tahitian
682
Tongan
683
Other Polynesian
685
Guamanian/Chamorro
686
Northern Mariana Islander
687
Palauan
688
Other Micronesian
690
Fijian
691
Other Melanesian
699
Pacific Islander, n.s.
700
Other race, n.e.c.
This variable indicates the ethnic group to which the person belonged.
Ethnicity and Language Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
6. Marital status
Fill one circle for each person.
[] Now married
[] Separated
[] Widowed
[] Never married
[] Divorced
[If the person's only marriage was annulled, mark never married.]
All persons
1
Married, spouse present
2
Married, spouse absent
3
Separated
4
Divorced
5
Widowed
6
Never married/single
This variable indicates the marital status of the individual.
Demographic Variables -- PERSON
IPUMS
Children ever born
Children ever born
Children ever born
Children ever born
Children ever born
20. How many babies has she ever had, not counting still births?
Do not count her stepchildren or children she has adopted.
[] None
[] 1
[] 2
[] 3
[] 4
[] 5
[] 6
[] 7
[] 8
[] 9
[] 10
[] 11
[] 12 or more
[Count all children born alive, including any who have died (even shortly after birth) or who no longer live with you. Do not include miscarriages or stillborn children or any adopted, foster, or stepchildren.]
Females, age 15+
No children
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
99
NIU (not in universe)
This variable indicates the number of children ever born to each woman.
Fertility and Mortality Variables -- PERSON
IPUMS
Birthplace
Birthplace
Birthplace
Birthplace
Birthplace
8. In what U.S. State or foreign country was this person born?
____
(Name of State or foreign country; or Puerto Rico, Guam, etc.)
[For persons born in the United States:
Print the name of the State in which this person was born. If the person was born in Washington, D.C., print District of Columbia. If the person was born in a U.S. territory or commonwealth, print Puerto Rico, U.S. Virgin Islands, Guam, American Samoa, or Northern Marianas.
[For persons born outside the United States:
Print the name of the foreign country or area where the person was born. Use current boundaries, not boundaries at the time of the person's birth. Specify whether Northern Ireland or the Republic of Ireland (Eire); East or West Germany; North or South Korea; England, Scotland, or Wales (not Great Britain or United Kingdom). Specify the particular country or island in the Caribbean (not, for example, West Indies).]
All persons
100
Alabama
200
Alaska
400
Arizona
500
Arkansas
600
California
800
Colorado
900
Connecticut
1000
Delaware
1100
District of Columbia
1200
Florida
1300
Georgia
1500
Hawaii
1600
Idaho
1700
Illinois
1800
Indiana
1900
Iowa
2000
Kansas
2100
Kentucky
2200
Louisiana
2300
Maine
2400
Maryland
2500
Massachusetts
2600
Michigan
2700
Minnesota
2800
Mississippi
2900
Missouri
3000
Montana
3100
Nebraska
3200
Nevada
3300
New Hampshire
3400
New Jersey
3500
New Mexico
3600
New York
3700
North Carolina
3800
North Dakota
3900
Ohio
4000
Oklahoma
4100
Oregon
4200
Pennsylvania
4400
Rhode Island
4500
South Carolina
4600
South Dakota
4700
Tennessee
4800
Texas
4900
Utah
5000
Vermont
5100
Virginia
5300
Washington
5400
West Virginia
5500
Wisconsin
5600
Wyoming
10000
American Samoa
10500
Guam
11000
Puerto Rico
11500
U S Virgin Islands
12020
Midway Islands
12030
Wake Island
12052
Howland Island
12092
US territory, n.s.
15000
Canada
15500
St Pierre and Miquelon
16010
Bermuda
16020
Cape Verde
16030
Falkland Islands
16040
Greenland
16050
St Helena and Ascension
19900
North America, n.s.
20000
Mexico
21010
Belize/British Honduras
21020
Costa Rica
21030
El Salvador
21040
Guatemala
21050
Honduras
21060
Nicaragua
21070
Panama
21090
Central America, n.s.
25000
Cuba
26010
Dominican Republic
26020
Haiti
26030
Jamaica
26041
Anguilla
26042
Antigua-Barbuda
26043
Bahamas
26044
Barbados
26045
British Virgin Islands
26053
Cayman Isles
26054
Dominica
26055
Grenada
26056
Montserrat
26057
St Kitts-Nevis
26058
St Lucia
26059
St Vincent
26060
Trinidad Tobago
26061
Turks Caicos
26069
British West Indies, n.s.
26071
Aruba
26072
Netherlands Antilles
26081
Guadeloupe
26082
Martinique
26090
Antilles, n.s.
26091
Caribbean, n.s.
26092
Latin America, n.s.
26093
Leeward Islands, n.s.
26094
West Indies, n.s.
30005
Argentina
30010
Bolivia
30015
Brazil
30020
Chile
30025
Colombia
30030
Ecuador
30035
French Guiana
30040
Guyana/British Guiana
30045
Paraguay
30050
Peru
30055
Suriname
30060
Uruguay
30065
Venezuela
30090
South America, n.s.
40000
Denmark
40010
Faroe Islands
40100
Finland
40200
Iceland
40400
Norway
40500
Sweden
41000
England
41011
Guernsey
41012
Jersey
41020
Isle of Man
41100
Scotland
41200
Wales
41300
United Kingdom, n.s.
41400
Ireland
41410
Northern Ireland
41900
Northern Europe, n.s.
42000
Belgium
42100
France
42200
Liechtenstein
42300
Luxembourg
42400
Monaco
42500
Netherlands
42600
Switzerland
42900
Western Europe, n.s.
43000
Albania
43100
Andorra
43200
Gibraltar
43300
Greece
43400
Italy
43500
Malta
43600
Portugal
43610
Azores
43620
Madeira Islands
43700
San Marino
43800
Spain
43900
Vatican City
45000
Austria
45100
Bulgaria
45200
Czechoslovakia
45300
Germany
45310
West Germany
45328
West Berlin
45340
East Germany
45343
East Berlin
45400
Hungary
45500
Poland
45600
Romania
45700
Yugoslavia
45900
Eastern Europe, n.s.
46000
Estonia
46100
Latvia
46200
Lithuania
46300
Baltic States, n.s.
46500
Other USSR/ Russia
49900
Europe, n.s.
50000
China
50010
Hong Kong
50020
Macau
50030
Mongolia
50040
Taiwan
50100
Japan
50200
Korea
50210
North Korea
50220
South Korea
51000
Brunei
51100
Cambodia (Kampuchea)
51200
Indonesia
51300
Laos
51400
Malaysia
51500
Philippines
51600
Singapore
51700
Thailand
51800
Vietnam
51900
Southeast Asia, n.s.
51910
Indochina, n.s.
52000
Afghanistan
52100
India
52110
Bangladesh
52120
Bhutan
52130
Burma (Myanmar)
52140
Pakistan
52150
Sri Lanka (Ceylon)
52200
Iran
52400
Nepal
53000
Bahrain
53100
Cyprus
53200
Iraq
53210
Mesopotamia
53400
Israel/Palestine
53410
Gaza Strip
53420
Palestine
53430
West Bank
53500
Jordan
53600
Kuwait
53700
Lebanon
53800
Oman
53900
Qatar
54000
Saudi Arabia
54100
Syria
54200
Turkey
54300
United Arab Emirates
54400
Yemen Arab Republic (North)
54500
Yemen, PDR (South)
54600
Persian Gulf States, n.s.
54700
Middle East, n.s.
54900
Asia Minor, n.s.
59900
Asia, n.e.c./n.s.
60011
Algeria
60012
Egypt/United Arab Rep
60013
Libya
60014
Morocco
60015
Sudan
60016
Tunisia
60019
North Africa, n.s.
60020
Benin
60021
Burkina Faso
60022
Gambia
60023
Ghana
60024
Guinea
60025
Guinea-Bissau
60026
Ivory Coast
60027
Liberia
60028
Mali
60029
Mauritania
60030
Niger
60031
Nigeria
60032
Senegal
60033
Sierra Leone
60034
Togo
60038
Western Africa, n.s.
60041
Burundi
60042
Comoros
60043
Djibouti
60044
Ethiopia
60045
Kenya
60046
Madagascar
60047
Malawi
60048
Mauritius
60049
Mozambique
60050
Reunion
60051
Rwanda
60052
Seychelles
60053
Somalia
60054
Tanzania
60055
Uganda
60056
Zambia
60057
Zimbabwe
60059
Europa
60060
Gloriosos
60064
Eastern Africa, n.e.c./n.s.
60071
Angola
60072
Cameroon
60073
Central African Republic
60074
Chad
60075
Congo
60076
Equatorial Guinea
60077
Gabon
60078
Sao Tome and Principe
60079
Zaire
60080
Central Africa, n.s.
60091
Botswana
60092
Lesotho
60093
Namibia
60094
South Africa (Union of)
60095
Swaziland
60096
Southern Africa, n.s.
60099
Africa, n.s./n.e.c.
70010
Australia
70020
New Zealand
71010
New Caledonia
71011
Norfolk Islands
71012
Papua New Guinea
71013
Solomon Islands
71014
Vanuatu (New Hebrides)
71019
Melanesia, n.s.
71020
Cook Islands
71021
Fiji
71022
French Polynesia
71023
Tonga
71025
Western Samoa
71029
Polynesia, n.s.
71031
Cocos Islands
71032
Kiribati
71034
Nauru
71036
Pitcairn Island
71037
Tokelau
71038
Tuvalu
71041
Marshall Islands
71042
Micronesia
71047
Northern Mariana Islands
71048
Palau
80000
ANTARTICA, n.s./n.e.c.
90010
Abroad, n.s.
90020
At sea
This variable indicates the place of birth of the individual.
Nativity and Birthplace Variables -- PERSON
IPUMS
Ancestry, first response
Ancestry, first response
Ancestry, first response
Ancestry, first response
Ancestry, first response
13. What is this person's ancestry or ethnic origin?
(See instruction guide for further information.)
____
(For example: German, Italian, Afro-Amer., Croatian, Cape Verdean, Dominican, Ecuadorean, Haitian, Cajun, French Canadian, Jamaican, Korean, Lebanese, Mexican, Nigerian, Irish, Polish, Slovak, Taiwanese, Thai, Ukrainian, etc.)
[Print the ancestry group. Ancestry refers to the person's ethnic origin or descent, "roots," or heritage. Ancestry also may refer to the country of birth of the person or the person's parents or ancestors before their arrival in the United States. All persons, regardless of citizenship status, should answer this question. Persons who have more than one origin and cannot identify with a single ancestry group may report two ancestry groups (for example, German-Irish). Be specific. For example, print whether West Indian, Asian Indian, or American Indian. West Indian includes persons whose ancestors came from Jamaica, Trinidad, Haiti, etc. Distinguish Cape Verdean from Portuguese; French Canadian from Canadian; and Dominican Republic from Dominica Island. A religious group should not be reported as a person's ancestry.]
All persons
10
Alsatian
20
Andorran
30
Austrian
40
Tirolean
53
Basque
54
Spanish Basque
60
French Basque
80
Belgian
110
British
150
Cornish
160
Corsican
170
Cypriot
180
Greek Cypriote
190
Turkish Cypriote
200
Danish
210
Dutch
220
English
230
Faeroe Islander
240
Finnish
261
French
262
Occitan
280
Breton
290
Frisian
300
Friulian
321
German
322
Pennsylvania German
330
Bavarian
400
Prussian
410
Saxon
460
Greek
490
Icelander
500
Irish
501
Celtic
511
Italian
680
Sicilian
750
Lapp
760
Liechtensteiner
770
Luxemburger
780
Maltese
790
Manx
800
Monegasque
810
Northern Irelander
820
Norwegian
840
Portuguese
850
Azorean
860
Madeiran
870
Scotch Irish
880
Scottish
890
Swedish
910
Swiss
970
Welsh
980
Scandinavian, Nordic
1000
Albanian
1010
Azerbaijani
1020
Belorussian
1030
Bulgarian
1051
Carpatho Rusyn
1052
Rusyn
1080
Cossack
1082
Turkestani
1090
Croatian
1110
Czechoslovakian
1111
Czech
1150
Estonian
1170
Finno Ugrian
1222
Germans from Russia
1240
Rom
1250
Hungarian
1280
Latvian
1290
Lithuanian
1300
Macedonian
1320
North Caucasian
1420
Polish
1440
Romanian
1452
Bucovina
1480
Russian
1521
Serbian
1523
Montenegrin
1530
Slovak
1540
Slovene
1560
Soviet Turkic
1640
Soviet Union, n.e.c.
1650
Tatar
1711
Ukrainian
1713
Ruthenian
1717
Windish
1760
Yugoslavian
1780
Slav
1810
Central European, n.e.c.
1830
Northern European, n.e.c.
1850
Southern European, n.e.c.
1870
Western European, n.e.c.
1900
Eastern European, n.e.c.
1950
European, n.e.c.
2001
Spaniard
2040
Catalonian
2062
Galician
2101
Mexican
2210
Costa Rican
2220
Guatemalan
2230
Honduran
2240
Nicaraguan
2251
Panamanian
2252
Canal Zone
2260
Salvadoran
2271
Central American
2272
Latin American
2310
Argentinean
2320
Bolivian
2330
Chilean
2340
Colombian
2350
Ecuadorian
2360
Paraguayan
2370
Peruvian
2380
Uruguayan
2390
Venezuelan
2481
South American
2482
Criollo/Criolla
2610
Puerto Rican
2710
Cuban
2750
Dominican
2900
Hispanic
2910
Spanish
3000
Bahamian
3010
Barbadian
3020
Belizean
3030
Bermudan
3040
Cayman Islander
3080
Jamaican
3100
Dutch West Indies
3140
Trinidadian/Tobagonian
3171
U.S. Virgin Islander
3211
British Virgin Islander
3220
British West Indian
3320
French West Indies
3350
West Indian
3360
Haitian
3600
Brazilian
3650
San Andres
3700
Guyanese/British Guiana
3800
Surinam/Dutch Guiana
4000
Algerian
4020
Egyptian
4040
Libyan
4060
Moroccan
4080
Tunisian
4110
North African
4130
Berber
4150
Bahraini
4160
Iranian
4170
Iraqi
4190
Israeli
4210
Jordanian
4230
Kuwaiti
4250
Lebanese
4270
Saudi Arabian
4290
Syrian
4310
Armenian
4340
Turkish
4350
Yemeni
4360
Omani
4420
Kurdish
4650
Palestinian
4700
South Yemeni
4800
United Arab Emirates
4820
Assyrian/Chaldean/Syriac
4900
Middle Eastern
4950
Arab
5000
Angolan
5020
Benin
5040
Botswana
5060
Burundian
5080
Cameroonian
5100
Cape Verdean
5120
Central African Republic
5130
Chadian
5150
Congolese
5200
Equatorial Guinea
5220
Ethiopian
5250
Gabonese
5270
Gambian
5290
Ghanian
5300
Guinean
5320
Ivory Coast
5340
Kenyan
5380
Lesotho
5410
Liberian
5430
Madagascan
5450
Malawian
5460
Malian
5470
Mauritanian
5490
Mozambican
5500
Namibian
5510
Niger
5530
Nigerian
5610
Rwandan
5640
Senegalese
5660
Sierra Leonean
5680
Somalian
5690
Swaziland
5700
South African
5740
Zulu
5760
Sudanese
5820
Tanzanian
5860
Togo
5880
Ugandan
5910
Zairian
5920
Zambian
5930
Zimbabwean
5941
African Islands
5960
Central African
6000
Afghan
6031
Bangladeshi
6070
Bhutanese
6090
Nepali
6151
India
6801
Pakistani
6900
Sri Lankan
6950
Maldivian
7000
Burmese
7030
Cambodian
7060
Chinese
7121
Mongolian
7122
Kalmyk
7140
Tibetan
7160
Hong Kong
7180
Macao
7200
Filipino
7301
Indonesian
7401
Japanese
7460
Ryukyu Islander
7480
Okinawan
7500
Korean
7650
Laotian
7680
Hmong
7701
Malaysian
7740
Singaporean
7760
Thai
7820
Taiwanese
7850
Vietnamese
7900
Montagnard
7920
Indochinese
7930
Eurasian
7931
Amerasian
7950
Asian
8000
Australian
8030
New Zealander
8080
Polynesian
8110
Hawaiian
8140
Samoan
8150
Tongan
8160
Tokelauan
8180
Tahitian
8190
Niuean
8200
Micronesian
8210
Guamanian
8230
Saipanese
8240
Palauan
8250
Marshall Islander
8270
Ponapean
8280
Chuukese
8290
Yap Islander
8300
Caroline Islander
8310
Kiribatese
8320
Nauruan
8340
Tinian Islander
8400
Melanesian Islander
8410
Fijian
8430
New Guinean
8460
New Caledonian Islander
8470
Vanuatuan
8500
Pacific Islander
8600
Oceania
9001
Afro-American
9130
Central American Indian
9140
South American Indian
9200
American Indian
9210
Aleut
9220
Eskimo
9241
White/Caucasian
9300
Greenlander
9310
Canadian
9350
French Canadian
9361
Acadain
9390
American
9400
United States
9930
Southerner
9940
North American
9950
Mixture
9960
Uncodable
9980
Other
9990
Not Reported
This variable indicates the respondent's self-reported ancestry or ethnic origin.
Ethnicity and Language Variables -- PERSON
IPUMS
Ancestry, second response
Ancestry, second response
Ancestry, second response
Ancestry, second response
Ancestry, second response
13. What is this person's ancestry or ethnic origin?
(See instruction guide for further information.)
____
(For example: German, Italian, Afro-Amer., Croatian, Cape Verdean, Dominican, Ecuadorean, Haitian, Cajun, French Canadian, Jamaican, Korean, Lebanese, Mexican, Nigerian, Irish, Polish, Slovak, Taiwanese, Thai, Ukrainian, etc.)
[Print the ancestry group. Ancestry refers to the person's ethnic origin or descent, "roots," or heritage. Ancestry also may refer to the country of birth of the person or the person's parents or ancestors before their arrival in the United States. All persons, regardless of citizenship status, should answer this question. Persons who have more than one origin and cannot identify with a single ancestry group may report two ancestry groups (for example, German-Irish). Be specific. For example, print whether West Indian, Asian Indian, or American Indian. West Indian includes persons whose ancestors came from Jamaica, Trinidad, Haiti, etc. Distinguish Cape Verdean from Portuguese; French Canadian from Canadian; and Dominican Republic from Dominica Island. A religious group should not be reported as a person's ancestry.]
All persons
10
Alsatian
20
Andorran
30
Austrian
40
Tirolean
53
Basque
54
Spanish Basque
60
French Basque
80
Belgian
110
British
150
Cornish
160
Corsican
170
Cypriot
180
Greek Cypriote
200
Danish
210
Dutch
220
English
230
Faeroe Islander
240
Finnish
261
French
280
Breton
290
Frisian
300
Friulian
321
German
322
Pennsylvania German
330
Bavarian
400
Prussian
410
Saxon
460
Greek
490
Icelander
500
Irish
501
Celtic
511
Italian
680
Sicilian
750
Lapp
760
Liechtensteiner
770
Luxemburger
780
Maltese
790
Manx
800
Monegasque
810
Northern Irelander
820
Norwegian
840
Portuguese
850
Azorean
860
Madeiran
870
Scotch Irish
880
Scottish
890
Swedish
910
Swiss
970
Welsh
980
Scandinavian, Nordic
1000
Albanian
1010
Azerbaijani
1020
Belorussian
1030
Bulgarian
1051
Carpatho Rusyn
1052
Rusyn
1080
Cossack
1082
Turkestani
1090
Croatian
1110
Czechoslovakian
1111
Czech
1150
Estonian
1170
Finno Ugrian
1222
Germans from Russia
1240
Rom
1250
Hungarian
1280
Latvian
1290
Lithuanian
1300
Macedonian
1320
North Caucasian
1420
Polish
1440
Romanian
1452
Bucovina
1480
Russian
1521
Serbian
1523
Montenegrin
1530
Slovak
1540
Slovene
1640
Soviet Union, n.e.c.
1650
Tatar
1711
Ukrainian
1713
Ruthenian
1717
Windish
1760
Yugoslavian
1780
Slav
1810
Central European, n.e.c.
1830
Northern European, n.e.c.
1850
Southern European, n.e.c.
1870
Western European, n.e.c.
1900
Eastern European, n.e.c.
1950
European, n.e.c.
2001
Spaniard
2040
Catalonian
2062
Galician
2101
Mexican
2210
Costa Rican
2220
Guatemalan
2230
Honduran
2240
Nicaraguan
2251
Panamanian
2260
Salvadoran
2271
Central American
2272
Latin American
2310
Argentinean
2320
Bolivian
2330
Chilean
2340
Colombian
2350
Ecuadorian
2360
Paraguayan
2370
Peruvian
2380
Uruguayan
2390
Venezuelan
2481
South American
2610
Puerto Rican
2710
Cuban
2750
Dominican
2900
Hispanic
2910
Spanish
3000
Bahamian
3010
Barbadian
3020
Belizean
3030
Bermudan
3040
Cayman Islander
3080
Jamaican
3100
Dutch West Indies
3140
Trinidadian/Tobagonian
3171
U.S. Virgin Islander
3220
British West Indian
3320
French West Indies
3350
West Indian
3360
Haitian
3600
Brazilian
3700
Guyanese/British Guiana
3800
Surinam/Dutch Guiana
4000
Algerian
4020
Egyptian
4040
Libyan
4060
Moroccan
4080
Tunisian
4110
North African
4120
Alhucemas
4130
Berber
4150
Bahraini
4160
Iranian
4170
Iraqi
4190
Israeli
4210
Jordanian
4230
Kuwaiti
4250
Lebanese
4270
Saudi Arabian
4290
Syrian
4310
Armenian
4340
Turkish
4350
Yemeni
4420
Kurdish
4650
Palestinian
4700
South Yemeni
4820
Assyrian/Chaldean/Syriac
4900
Middle Eastern
4950
Arab
5000
Angolan
5040
Botswana
5080
Cameroonian
5100
Cape Verdean
5130
Chadian
5150
Congolese
5220
Ethiopian
5290
Ghanian
5320
Ivory Coast
5340
Kenyan
5410
Liberian
5430
Madagascan
5460
Malian
5470
Mauritanian
5490
Mozambican
5510
Niger
5530
Nigerian
5610
Rwandan
5640
Senegalese
5660
Sierra Leonean
5680
Somalian
5690
Swaziland
5700
South African
5740
Zulu
5760
Sudanese
5820
Tanzanian
5860
Togo
5880
Ugandan
5910
Zairian
5920
Zambian
5930
Zimbabwean
5941
African Islands
5960
Central African
6000
Afghan
6031
Bangladeshi
6090
Nepali
6151
India
6801
Pakistani
6900
Sri Lankan
7000
Burmese
7030
Cambodian
7060
Chinese
7072
Formosan
7121
Mongolian
7122
Kalmyk
7160
Hong Kong
7180
Macao
7200
Filipino
7301
Indonesian
7401
Japanese
7480
Okinawan
7500
Korean
7650
Laotian
7680
Hmong
7701
Malaysian
7740
Singaporean
7760
Thai
7820
Taiwanese
7850
Vietnamese
7900
Montagnard
7920
Indochinese
7930
Eurasian
7931
Amerasian
7950
Asian
8000
Australian
8030
New Zealander
8080
Polynesian
8110
Hawaiian
8140
Samoan
8150
Tongan
8160
Tokelauan
8180
Tahitian
8200
Micronesian
8210
Guamanian
8230
Saipanese
8240
Palauan
8250
Marshall Islander
8270
Ponapean
8280
Chuukese
8300
Caroline Islander
8310
Kiribatese
8340
Tinian Islander
8410
Fijian
8500
Pacific Islander
8600
Oceania
9001
Afro-American
9130
Central American Indian
9140
South American Indian
9200
American Indian (all tribes)
9210
Aleut
9220
Eskimo
9300
Greenlander
9310
Canadian
9350
French Canadian
9361
Acadain
9390
American
9400
United States
9980
Other (usually a religion)
9990
Not Reported
This variable indicates the respondent's second response of self-reported ancestry or ethnic origin.
Ethnicity and Language Variables -- PERSON
IPUMS
Citizenship status
Citizenship status
Citizenship status
Citizenship status
Citizenship status
9. Is this person a citizen of the United States?
[] Yes, born in the United States -- [Go on to question 11]
[] Yes, born in Puerto Rico, Guam, the U.S. Virgin Islands, or Northern Marianas
[] Yes, born abroad of American parent or parents
[] Yes, U.S. citizen by naturalization
[] No, not a citizen of the United States
[A person should fill the yes, U.S. citizen by naturalization circle only if he/she has completed the naturalization process and is now a United States citizen. If the person was born in Puerto Rico, Guam, the U.S. Virgin Islands, or Northern Marianas, he/she should fill the yes, born in Puerto Rico, Guam, the U.S. Virgin Islands, or Northern Marianas circle. If the person was born outside the United States (or at sea) and has at least one American parent, he/she should fill the yes, born abroad of American parent or parents circle.]
Foreign-born persons
NIU (not in universe)
1
Born abroad of American parents
2
Naturalized citizen
3
Not a citizen
This variable indicates the citizenship status of respondents, distinguishing between naturalized citizens and non-citizens.
Nativity and Birthplace Variables -- PERSON
IPUMS
Hispanic origin
Hispanic origin
Hispanic origin
Hispanic origin
Hispanic origin
7. Is this person of Spanish/Hispanic origin?
Fill one circle for each person.
If yes, other Spanish/Hispanic, print one group.
[] No (not Spanish/Hispanic)
[] Yes, Mexican, Mexican-Am., Chicano
[] Yes, Puerto Rican
[] Yes, Cuban
[] Yes, other Spanish/Hispanic
(Print one group, for example: Argentinean, Colombian, Dominican, Nicaraguan, Salvadoran, Spaniard, and so on.)
____
[A person is of Spanish/Hispanic origin if the person's origin (ancestry) is Mexican, Mexican-Am., Chicano, Puerto Rican, Cuban, Argentinean, Colombian, Costa Rican, Dominican, Ecuadoran, Guatemalan, Honduran, Nicaraguan, Peruvian, Salvadoran, from other Spanish-speaking countries of the Caribbean or Central or South America, or from Spain. If you fill the Yes, other Spanish/Hispanic circle, print one group. A person who is not of Spanish/Hispanic origin should answer this question by filling the No (not Spanish/Hispanic) circle. Note that the term "Mexican-Am." refers only to persons of Mexican origin or ancestry. All persons, regardless of citizenship status, should answer this question.]
All persons
Not Hispanic
100
Mexican
101
Mexican
102
Mexican American
103
Mexicano/Mexicana
104
Chicano/Chicana
106
Mexican American Indian
107
Mexico
200
Puerto Rican
300
Cuban
411
Costa Rican
412
Guatemalan
413
Honduran
414
Nicaraguan
415
Panamanian
416
Salvadoran
417
Central American
419
Canal Zone
420
Argentinean
421
Bolivian
422
Chilean
423
Colombian
424
Ecuadorian
425
Paraguayan
426
Peruvian
427
Uruguayan
428
Venezuelan
429
South American Indian
431
South American
450
Spaniard
453
Castillian
454
Catalonian
455
Balearic Islander
456
Gallego
458
Canarian
459
Spanish Basque
460
Dominican
465
Latin American
470
Hispanic
480
Spanish
490
Californio
491
Tejano
493
Spanish American
494
Spanish American Indian
495
Meso American Indian
496
Mestizo
498
Other Spanish/Hispanic, n.s. (FOSDIC)
499
Other Spanish/Hispanic, n.e.c.
This variable indicates and classifies persons of Hispanic/Spanish/Latino origin.
Ethnicity and Language Variables -- PERSON
IPUMS
Year of immigration
Year of immigration
Year of immigration
Year of immigration
Year of immigration
10. When did this person come to the United States to stay?
[] 1987 to 1990
[] 1985 or 1986
[] 1982 to 1984
[] 1980 or 1981
[] 1975 to 1979
[] 1970 to 1974
[] 1965 to 1969
[] 1960 to 1964
[] 1950 to 1959
[] Before 1950
[If the person has entered the United States (that is, the 50 states and the District of Columbia) more than once, fill the circle for the latest year he/she came to stay.]
Foreign-born persons and persons born in US outlying areas
NIU (not in universe)
1
Before 1950
2
1950-59
3
1960 -64
4
1965-69
5
1970-74
6
1975-1979
7
1980 -81
8
1982 -84
9
1985 -86
10
1987 -90
This variable indicates the year in which a foreign-born person first entered the United States.
Nativity and Birthplace Variables -- PERSON
IPUMS
Years in the United States, intervalled
Years in the United States, intervalled
Years in the United States, intervalled
Years in the United States, intervalled
Years in the United States, intervalled
10. When did this person come to the United States to stay?
[] 1987 to 1990
[] 1985 or 1986
[] 1982 to 1984
[] 1980 or 1981
[] 1975 to 1979
[] 1970 to 1974
[] 1965 to 1969
[] 1960 to 1964
[] 1950 to 1959
[] Before 1950
[If the person has entered the United States (that is, the 50 states and the District of Columbia) more than once, fill the circle for the latest year he/she came to stay.]
Foreign-born persons and persons born in US outlying areas
NIU (not in universe)
1
0 to 5 years
2
6 to 10 years
3
11 to 15 years
4
16 to 20 years
5
21 years
This variable indicates how long a person who was born in a foreign country or U.S. outlying area had been living in the United States.
Nativity and Birthplace Variables -- PERSON
IPUMS
Language spoken
Language spoken
Language spoken
Language spoken
Language spoken
15a. Does this person speak a language other than English at home?
[] Yes
[] No -- [Go on to question 16]
[Mark yes if the location is now inside the city/town limits even if it was not inside the limits on April 1, 1985; that is, if the area was annexed by the city/town since that time.]
Persons age 5+
NIU (not in universe)
100
English
110
Jamaican Creole
120
Krio, Pidgin Krio
130
Hawaiian Pidgin
140
Pidgin
150
Gullah, Geechee
160
Saramacca
200
German
230
Luxembourgian
240
Pennsylvania Dutch
300
Yiddish, Jewish
410
Dutch, Flemish, Belgian
420
Afrikaans
430
Frisian
500
Swedish
600
Danish
700
Norwegian
800
Icelandic
810
Faroese
1000
Italian
1010
Rhaeto-Romanic, Ladin
1110
French, Walloon
1120
Provencal
1130
Patois
1140
French or Haitian Creole
1150
Cajun
1200
Spanish
1210
Catalonian, Valencian
1220
Ladino, Sefaradit, Spanol
1240
Papia Mentae
1300
Portuguese
1400
Rumanian
1520
Welsh
1540
Irish Gaelic, Gaelic
1570
Scottish Gaelic
1600
Greek
1700
Albanian
1810
Russian, Great Russian
1820
Bielo-, White Russian
1900
Ukrainian, Ruthenian, Little Russian
2000
Czech
2100
Polish
2200
Slovak
2300
Serbo-Croatian, Yugoslavian, Slavonian
2310
Croatian
2320
Serbian
2400
Slovene
2500
Lithuanian
2510
Lettish
2610
Bulgarian
2620
Lusatian, Sorbian, Wendish
2630
Macedonian
2800
Armenian
2900
Persian, Iranian, Farssi
3010
Pashto, Afghan
3020
Kurdish
3030
Balochi
3101
Hindi, Hindustani, Indic, Jaipuri, Pali, Urdu
3111
Sanskrit
3112
Bengali
3113
Panjabi
3114
Marathi
3115
Gujarathi
3116
Bihari
3117
Rajasthani
3118
Oriya
3119
Assamese
3120
Kashmiri
3121
Sindhi
3123
Sinhalese
3130
Kannada
3200
Romany, Gypsy
3300
Finnish
3400
Magyar, Hungarian
3510
Estonian, Ingrian, Livonian, Vepsian, Votic
3520
Lapp, Inari, Kola, Lule, Pite, Ruija, Skolt, Um
3600
Turkish
3704
Kirghiz
3705
Karachay, Tatar, Balkar, Bashkir, Kumyk
3706
Uzbek, Uighur
3707
Azerbaijani
3710
Mongolian
3711
Tungus
3800
Caucasian, Georgian, Avar
3900
Basque
4000
Dravidian
4001
Brahui
4002
Gondi
4003
Telugu
4004
Malayalam
4005
Tamil
4011
Nepali
4110
Munda
4301
Chinese, Cantonese, Min, Yueh
4303
Mandarin
4311
Hakka, Fukien, K'echia
4314
Fuchow, Min Pei
4315
Wu
4400
Tibetan
4410
Miao-Yao
4420
Miao, Hmong
4500
Burmese, Lisu, Lolo
4510
Karen
4600
Kachin
4700
Thai, Siamese, Lao
4800
Japanese
4900
Korean
5000
Vietnamese
5120
Mon-Khmer, Cambodian
5200
Indonesian
5230
Achinese
5240
Balinese
5250
Cham
5270
Malay
5280
Minangkabau
5310
Formosan, Taiwanese
5320
Javanese
5330
Malagasy
5340
Sundanese
5400
Filipino, Tagalog
5410
Bisayan
5420
Sebuano
5430
Pangasinan
5440
Llocano, Hocano
5450
Bikol
5460
Pampangan
5480
Palau
5501
Micronesian
5503
Chamorro, Guamanian
5504
Gilbertese
5505
Kusaiean
5506
Marshallese
5507
Mokilese
5510
Ponapean
5511
Trukese
5513
Woleai-Ulithi
5514
Yapese
5520
Melanesian
5521
Polynesian
5522
Samoan
5523
Tongan
5525
Tokelauan
5526
Fijian
5527
Marquesan
5529
Maori
5530
Nukuoro, Kapingarangan
5600
Hawaiian
5700
Arabic
5810
Syriac, Aramaic, Chaldean
5900
Hebrew, Israeli
6000
Amharic, Ethiopian, etc.
6110
Berber
6120
Chadic, Hamitic, Hausa
6130
Cushite, Beja, Somali
6300
Nilotic
6301
Nilo-Hamitic
6302
Nubian
6303
Saharan
6304
Nilo-Saharan, Fur, Songhai
6305
Khoisan
6306
Sudanic
6307
Bantu (many subheads)
6308
Swahili
6309
Mande
6310
Fulani
6311
Gur
6312
Kru
6313
Efik, Ibibio, Tiv
6314
Mbum, Gbaya, Sango, Zande
6400
African, n.s.
7110
Aleut
7130
Eskimo
7140
Inupik, Innuit
7150
St Lawrence Isl Yupik
7160
Yupik
7200
Algonquian
7201
Arapaho
7202
Atsina, Gros Ventre
7203
Blackfoot
7204
Cheyenne
7205
Cree
7206
Delaware, Lenni-Lenape
7207
Fox, Sac
7208
Kickapoo
7209
Menomini
7210
Metis, French Cree
7211
Miami
7212
Micmac
7213
Ojibwa, Chippewa
7214
Ottawa
7215
Passamaquoddy, Malecite
7216
Penobscot
7218
Potawatomi
7219
Shawnee
7300
Salish, Flathead
7303
Clallam
7304
Coeur d'Alene, Skitsamish
7305
Columbia, Chelan, Wenatchee
7307
Nootsack
7308
Okanogan
7309
Puget Sound Salish
7313
Kalispel
7314
Spokane
7400
Athapascan
7402
Han
7404
Koyukon
7405
Kuchin
7407
Tanaina
7412
Chasta Costa, Chetco, Coquille, Smith River Ath
7413
Hupa
7420
Apache
7421
Jicarilla, Lipan
7422
Chiricahua, Mescalero
7423
San Carlos, Cibecue, White Mountain
7424
Kiowa-Apache
7430
Kiowa
7500
Navajo
7610
Klamath, Modoc
7620
Nez Perce
7630
Sahaptian, Celilo, Klikitat, Palouse, Tenino, U
7700
Mountain Maidu, Maidu
7705
Sierra Miwok, Miwok
7708
Wintun
7709
Foothill North Yokuts
7710
Tachi
7712
Siuslaw, Coos, Lower Umpqua
7713
Tsimshian
7714
Upper Chinook, Clackamas, Multnomah, Wasco, Wis
7715
Chinook Jargon
7800
Zuni
7900
Yuman
7920
Cocomaricopa
7930
Mohave
7940
Diegueno
7950
Delta River Yuman
7970
Havasupai
7980
Walapai
7990
Yavapai
8000
Achumawi
8020
Karok
8030
Pomo
8050
Washo
8101
Crow, Absaroke
8102
Hidatsa
8103
Mandan
8104
Dakota, Lakota, Nakota, Sioux
8105
Chiwere
8106
Winnebago
8108
Omaha
8109
Osage
8110
Ponca
8210
Alabama
8220
Choctaw, Chickasaw
8230
Mikasuki
8250
Koasati
8260
Muskogee, Creek, Seminole
8300
Keres
8400
Iroquoian
8410
Mohawk
8420
Oneida
8430
Onondaga
8440
Cayuga
8450
Seneca
8460
Tuscarora
8480
Cherokee
8500
Caddoan
8510
Arikara
8520
Pawnee
8530
Wichita
8601
Comanche
8602
Mono, Owens Valley Paiute
8603
Paiute
8606
Chemehuevi
8608
Ute
8609
Shoshoni
8620
Hopi
8630
Cahuilla
8632
Luiseno
8700
Pima, Papago
8800
Yaqui
8910
Aztecan, Mexicano, Nahua
9010
Picuris, Northern Tiwa, Taos
9020
Tiwa, Isleta
9030
Sandia
9040
Tewa, Hano, Hopi-Tewa, San Ildefonso, San Juan,
9050
Towa
9101
Yurok
9112
Makah
9120
Kutenai
9130
Haida
9131
Tlingit, Chilkat, Sitka, Tongass, Yakutat
9150
Yuchi
9200
Misumalpan
9210
Mayan languages
9220
Tarascan
9230
Mapuche
9240
Oto-Manguen
9250
Quechua
9270
Arawakian
9280
Chibchan
9290
Tupi-Guarani
9300
American Indian, n.s.
9601
Other n e c
9602
Other n s
This variable indicates the language that the respondent spoke at home, particularly if a language other than English was spoken.
Ethnicity and Language Variables -- PERSON
IPUMS
Speaks English
Speaks English
Speaks English
Speaks English
Speaks English
15c. How well does this person speak English?
[] Very well
[] Well
[] Not well
[] Not at all
[Print the name of the language spoken at home. If this person speaks more than one non-English language and cannot determine which is spoken more often, report the first language the person learned to speak.]
Persons age 5+
NIU (not in universe)
1
Does not speak English
2
Yes, speaks only English
3
Yes, speaks very well
4
Yes, speaks well
5
Yes, but not well
This variable indicates whether the respondent was able to speak English.
Ethnicity and Language Variables -- PERSON
IPUMS
School attendence
School attendence
School attendence
School attendence
School attendence
11. At any time since February 1, 1990, has this person attended regular school or college?
Include only nursery school, kindergarten, elementary school, and schooling which leads to a high school diploma or a college degree.
[] No, has not attended since February 1
[] Yes, public school, public college
[] Yes, private school, private college
[Do not include enrollment in a trade or business school, company training, or tutoring unless the course would be accepted for credit at a regular elementary school, high school, or college. A public school is any school or college that is controlled and supported primarily by a local, county, State, or Federal Government. Schools are private if supported and controlled primarily by religious organizations or other private groups.]
Persons age 3+
NIU (not in universe)
1
No, not in school
2
Yes, in school
This variable indicates whether the respondent attended school during a specified period.
Education Variables -- PERSON
IPUMS
Educational attainment, 1990
Educational attainment, 1990
Educational attainment, 1990
Educational attainment, 1990
Educational attainment, 1990
12. How much school has this person completed?
Fill one circle for the highest level completed or degree received. If currently enrolled, mark the level of previous grade attended or highest degree received.
[] No school completed
[] Nursery school
[] Kindergarten
[] 1st, 2nd, 3rd, or 4th grade
[] 5th, 6th, 7th, or 8th grade
[] 9th grade
[] 10th grade
[] 11th grade
[] 12th grade, no diploma
[] High school graduate -- high school diploma or the equivalent (For example: GED)
[] Some college but no degree
[] Associate degree in college -- Occupational program
[] Associate degree in college -- Academic program
[] Bachelor's degree (For example: BA, AB, BS)
[] Master's degree (For example: MA, MS, MEng, MEd, MSW, MBA)
[] Professional school degree (For example: MD, DDS, DVM, LLB, JD)
[] Doctorate degree (For example: PhD, EdD)
[Mark the category for the highest grade or level of schooling the person has successfully completed or the highest degree the person received. If the person is enrolled in school, mark the category containing the highest grade completed (the grade previous to the grade in which enrolled). Schooling completed in foreign or ungraded schools should be reported as the equivalent level of schooling in the regular American school system. Persons who completed high school by passing an equivalency test, such as the General Education Development (GED) examination, and did not attend college, should fill the circle for high school graduate. Do not include vocational certificates or diplomas from vocational, trade, or business schools or colleges unless they were college level associate degrees or higher. Some examples of professional school degrees include medicine, dentistry, chiropractic, optometry, osteopathic medicine, pharmacy, podiatry, veterinary medicine, law, and theology. Do not include barber school, cosmetology, or other training for a specific trade. Do not include honorary degrees awarded by colleges and universities to individuals for their accomplishments. Include only "earned" degrees.]
Persons age 3+
NIU (not in universe)
1
No school completed
2
Nursery school
3
Kindergarten
4
1 st-4th grade
5
5 th-8th grade
6
9 th grade
7
10 th grade
8
11 th grade
9
12 th grade, no diploma
10
High school graduate, or GED
11
Some college, no degree
12
Associate degree, occupational program
13
Associate degree, academic program
14
Bachelor s degree
15
Master s degree
16
Professional degree
17
Doctorate degree
This variable indicates the respondent's highest level of educational attainment.
Education Variables -- PERSON
IPUMS
Educational attainment recode
Educational attainment recode
Educational attainment recode
Educational attainment recode
Educational attainment recode
12. How much school has this person completed?
Fill one circle for the highest level completed or degree received. If currently enrolled, mark the level of previous grade attended or highest degree received.
[] No school completed
[] Nursery school
[] Kindergarten
[] 1st, 2nd, 3rd, or 4th grade
[] 5th, 6th, 7th, or 8th grade
[] 9th grade
[] 10th grade
[] 11th grade
[] 12th grade, no diploma
[] High school graduate -- high school diploma or the equivalent (For example: GED)
[] Some college but no degree
[] Associate degree in college -- Occupational program
[] Associate degree in college -- Academic program
[] Bachelor's degree (For example: BA, AB, BS)
[] Master's degree (For example: MA, MS, MEng, MEd, MSW, MBA)
[] Professional school degree (For example: MD, DDS, DVM, LLB, JD)
[] Doctorate degree (For example: PhD, EdD)
[Mark the category for the highest grade or level of schooling the person has successfully completed or the highest degree the person received. If the person is enrolled in school, mark the category containing the highest grade completed (the grade previous to the grade in which enrolled). Schooling completed in foreign or ungraded schools should be reported as the equivalent level of schooling in the regular American school system. Persons who completed high school by passing an equivalency test, such as the General Education Development (GED) examination, and did not attend college, should fill the circle for high school graduate. Do not include vocational certificates or diplomas from vocational, trade, or business schools or colleges unless they were college level associate degrees or higher. Some examples of professional school degrees include medicine, dentistry, chiropractic, optometry, osteopathic medicine, pharmacy, podiatry, veterinary medicine, law, and theology. Do not include barber school, cosmetology, or other training for a specific trade. Do not include honorary degrees awarded by colleges and universities to individuals for their accomplishments. Include only "earned" degrees.]
Persons age 3+
NIU (not in universe)
1
None or preschool
2
Grade 1 , 2 , 3 , or 4
3
Grade 5 , 6 , 7 , or 8
4
Grade 9
5
Grade 10
6
Grade 11
7
Grade 12
8
1 to 3 years of college
9
4 years of college
This variable indicates a recoded combination of two separate IPUMS variables, HIGRADE and EDUC99, that measure educational attainment in different ways.
Education Variables -- PERSON
IPUMS
Public or private school
Public or private school
Public or private school
Public or private school
Public or private school
11. At any time since February 1, 1990, has this person attended regular school or college?
Include only nursery school, kindergarten, elementary school, and schooling which leads to a high school diploma or a college degree.
[] No, has not attended since February 1
[] Yes, public school, public college
[] Yes, private school, private college
[Do not include enrollment in a trade or business school, company training, or tutoring unless the course would be accepted for credit at a regular elementary school, high school, or college. A public school is any school or college that is controlled and supported primarily by a local, county, State, or Federal Government. Schools are private if supported and controlled primarily by religious organizations or other private groups.]
Persons age 3+
NIU (not in universe)
1
Not enrolled
2
Public school
3
Private school
This variable indicates whether respondents attending school were enrolled in a public or a private school.
Education Variables -- PERSON
IPUMS
Employment status
Employment status
Employment status
Employment status
Employment status
21a. Did this person work at any time last week?
[] Yes -- Fill this circle if this person worked full time or part time. (Count as part-time work such as delivering papers, or helping without pay in a family business or farm. Also count active duty in the Armed Forces.)
[] No -- Fill this circle if this person did not work, or did only own housework, school work, or volunteer work. -- Skip to 25.
[Count as work - Mark yes:
- Work for someone else for wages, salary, piece rate, commission, tips, or payments "in kind" (for example, food, lodging received as payment for work performed).
- Work in own business, professional practice, or farm.
- Any work in a family business or farm, paid or not.
- Any part-time work including babysitting, paper routes, etc.
- Active duty in Armed Forces.
Do not count as work - Mark no:
- Housework or yard work at home.
- Unpaid volunteer work.
- School work.
- Work done as a resident of an institution.]
21b. How many hours did this person work last week (at all jobs)?
Subtract any time off. Add overtime or extra hours worked.
____ Hours
Persons age 16+
NIU (not in universe)
1
At work
2
Has job, not working
3
Armed forces--at work
4
Armed forces--with job but not at work
5
Unemployed
6
Not in Labor Force
This variable indicates whether the respondent was a part of the labor force--working or seeking work--and, if so, whether the person was currently unemployed.
Work Variables -- PERSON
IPUMS
Labor force status
Labor force status
Labor force status
Labor force status
Labor force status
21a. Did this person work at any time last week?
[] Yes -- Fill this circle if this person worked full time or part time. (Count as part-time work such as delivering papers, or helping without pay in a family business or farm. Also count active duty in the Armed Forces.)
[] No -- Fill this circle if this person did not work, or did only own housework, school work, or volunteer work. -- Skip to 25.
[Count as work - Mark yes:
- Work for someone else for wages, salary, piece rate, commission, tips, or payments "in kind" (for example, food, lodging received as payment for work performed).
- Work in own business, professional practice, or farm.
- Any work in a family business or farm, paid or not.
- Any part-time work including babysitting, paper routes, etc.
- Active duty in Armed Forces.
Do not count as work - Mark no:
- Housework or yard work at home.
- Unpaid volunteer work.
- School work.
- Work done as a resident of an institution.]
21b. How many hours did this person work last week (at all jobs)?
Subtract any time off. Add overtime or extra hours worked.
____ Hours
Persons age 16+
NIU (not in universe)
1
No, not in the labor force
2
Yes, in the labor force
This variable indicates whether a person participated in the labor force.
Work Variables -- PERSON
IPUMS
Occupation, 1950 basis
Occupation, 1950 basis
Occupation, 1950 basis
Occupation, 1950 basis
Occupation, 1950 basis
29a. What kind of work was this person doing?
____
(For example: registered nurse, personnel manager, supervisor of order department,
gasoline engine assembler, cake icer)
[Print two or more words to describe the kind of work the person did. If the person was a trainee, apprentice, or helper, include that in the description. Some examples of what to enter:
Enter a description like the following / Do not enter:
Production clerk / Clerk
Carpenter's helper / Helper
Auto engine mechanic / Mechanic
Registered nurse / Nurse]
Persons age 16+ who had worked within the previous five years; not new workers
Accountants and auditors
2
Airplane pilots and navigators
3
Architects
4
Artists and art teachers
6
Authors
7
Chemists
8
Chiropractors
9
Clergymen
12
Agricultural sciences
13
Biological sciences
14
Chemistry
15
Economics
16
Engineering
18
Mathematics
19
Medical sciences
23
Physics
24
Psychology
26
Natural science (n e c )
27
Social sciences (n e c )
28
Nonscientific subjects
29
Subject not specified
31
Dancers and dancing teachers
32
Dentists
33
Designers
34
Dieticians and nutritionists
35
Draftsmen
36
Editors and reporters
41
Engineers, aeronautical
42
Engineers, chemical
43
Engineers, civil
44
Engineers, electrical
45
Engineers, industrial
46
Engineers, mechanical
47
Engineers, metallurgical, metallurgists
48
Engineers, mining
49
Engineers (n e c )
51
Entertainers (n e c )
53
Foresters and conservationists
54
Funeral directors and embalmers
55
Lawyers and judges
56
Librarians
57
Musicians and music teachers
58
Nurses, professional
61
Agricultural scientists
62
Biological scientists
63
Geologists and geophysicists
67
Mathematicians
68
Physicists
69
Miscellaneous natural scientists
70
Optometrists
72
Personnel and labor relations workers
73
Pharmacists
74
Photographers
75
Physicians and surgeons
76
Radio operators
77
Recreation and group workers
78
Religious workers
79
Social and welfare workers, except group
81
Economists
82
Psychologists
83
Statisticians and actuaries
84
Miscellaneous social scientists
91
Sports instructors and officials
92
Surveyors
93
Teachers (n e c )
94
Technicians, medical and dental
95
Technicians, testing
96
Technicians (n e c )
97
Therapists and healers (n e c )
98
Veterinarians
99
Professional, technical and kindred workers (n.
100
Farmers (owners and tenants)
123
Farm managers
200
Buyers and department heads, store
201
Buyers and shippers, farm products
203
Conductors, railroad
210
Inspectors, public administration
230
Managers and superintendents, building
240
Officers, pilots, pursers and engineers, ship
250
Officials and administrators (n.e.c.), public a
270
Postmasters
280
Purchasing agents and buyers (n e c )
290
Managers, officials, and proprietors (n.e.c.)
301
Attendants and assistants, library
302
Attendants, physician's and dentist's office
305
Bank tellers
310
Bookkeepers
320
Cashiers
321
Collectors, bill and account
322
Dispatchers and starters, vehicle
335
Mail carriers
340
Messengers and office boys
341
Office machine operators
342
Shipping and receiving clerks
350
Stenographers, typists, and secretaries
370
Telephone operators
380
Ticket, station, and express agents
390
Clerical and kindred workers (n e c )
400
Advertising agents and salesmen
410
Auctioneers
420
Demonstrators
430
Hucksters and peddlers
450
Insurance agents and brokers
460
Newsboys
470
Real estate agents and brokers
480
Stock and bond salesmen
490
Salesmen and sales clerks (n e c )
500
Bakers
502
Bookbinders
503
Boilermakers
504
Brickmasons, stonemasons, and tile setters
505
Cabinetmakers
510
Carpenters
511
Cement and concrete finishers
512
Compositors and typesetters
513
Cranemen, derrickmen, and hoistmen
515
Electricians
521
Engravers, except photoengravers
522
Excavating, grading, and road machinery operato
523
Foremen (n e c )
524
Forgemen and hammermen
525
Furriers
530
Glaziers
531
Heat treaters, annealers, temperers
533
Inspectors (n e c )
534
Jewelers, watchmakers, goldsmiths, and silversm
535
Job setters, metal
540
Linemen and servicemen, telegraph, telephone, a
541
Locomotive engineers
544
Machinists
545
Mechanics and repairmen, airplane
550
Mechanics and repairmen, automobile
551
Mechanics and repairmen, office machine
552
Mechanics and repairmen, radio and television
554
Mechanics and repairmen (n e c )
560
Millwrights
561
Molders, metal
562
Motion picture projectionists
563
Opticians and lens grinders and polishers
564
Painters, construction and maintenance
570
Pattern and model makers, except paper
571
Photoengravers and lithographers
573
Plasterers
574
Plumbers and pipe fitters
575
Pressmen and plate printers, printing
580
Rollers and roll hands, metal
581
Roofers and slaters
582
Shoemakers and repairers, except factory
583
Stationary engineers
585
Structural metal workers
590
Tailors and tailoresses
591
Tinsmiths, coppersmiths, and sheet metal worker
592
Tool makers, and die makers and setters
593
Upholsterers
595
Members of the armed services
600
Apprentice auto mechanics
601
Apprentice bricklayers and masons
602
Apprentice carpenters
603
Apprentice electricians
604
Apprentice machinists and toolmakers
610
Apprentice plumbers and pipe fitters
612
Apprentices, metalworking trades (n.e.c.)
614
Apprentices, other specified trades
620
Asbestos and insulation workers
621
Attendants, auto service and parking
622
Blasters and powdermen
624
Brakemen, railroad
625
Bus drivers
630
Chainmen, rodmen, and axmen, surveying
632
Deliverymen and routemen
633
Dressmakers and seamstresses, except factory
635
Filers, grinders, and polishers, metal
643
Laundry and dry cleaning operatives
644
Meat cutters, except slaughter and packing hous
650
Mine operatives and laborers
662
Oilers and greaser, except auto
670
Painters, except construction or maintenance
671
Photographic process workers
672
Power station operators
673
Sailors and deck hands
674
Sawyers
680
Stationary firemen
681
Switchmen, railroad
682
Taxicab drivers and chauffers
683
Truck and tractor drivers
684
Weavers, textile
685
Welders and flame cutters
690
Operative and kindred workers (n e c )
700
Housekeepers, private household
710
Laundressses, private household
720
Private household workers (n e c )
730
Attendants, hospital and other institution
731
Attendants, professional and personal service
732
Attendants, recreation and amusement
740
Barbers, beauticians, and manicurists
750
Bartenders
753
Charwomen and cleaners
754
Cooks, except private household
760
Counter and fountain workers
761
Elevator operators
762
Firemen, fire protection
763
Guards, watchmen, and doorkeepers
764
Housekeepers and stewards, except private house
770
Janitors and sextons
773
Policemen and detectives
780
Porters
781
Practical nurses
782
Sheriffs and bailiffs
783
Ushers, recreation and amusement
784
Waiters and waitresses
785
Watchmen (crossing) and bridge tenders
790
Service workers, except private household (n.e.
810
Farm foremen
820
Farm laborers, wage workers
910
Fishermen and oystermen
930
Gardeners, except farm, and groundskeepers
940
Longshoremen and stevedores
950
Lumbermen, raftsmen, and woodchoppers
970
Laborers (n e c )
999
NIU (not in universe)
This variable indicates the 1950 Census Bureau occupational classification system to the occupational activity of the individual.
Work: Occupation Variables -- PERSON
IPUMS
Occupation
Occupation
Occupation
Occupation
Occupation
29a. What kind of work was this person doing?
____
(For example: registered nurse, personnel manager, supervisor of order department,
gasoline engine assembler, cake icer)
[Print two or more words to describe the kind of work the person did. If the person was a trainee, apprentice, or helper, include that in the description. Some examples of what to enter:
Enter a description like the following / Do not enter:
Production clerk / Clerk
Carpenter's helper / Helper
Auto engine mechanic / Mechanic
Registered nurse / Nurse]
Persons age 16+ who had worked within the previous five years; not new workers
NIU (not in universe)
3
Legislators
4
Chief executives and general administrators, public administration
5
Administrators and officials, public administration
6
Administrators, protective services
7
Financial managers
8
Personnel and labor relations managers
9
Purchasing managers
13
Managers, marketing, advertising, and public relations
14
Administrators, education and related fields
15
Managers, medicine and health
16
Postmasters and mail superintendents
17
Managers, food serving and lodging establishments
18
Managers, properties and real estate
19
Funeral directors
21
Managers, service organizations, n.e.c.
22
Managers and administrators, n.e.c.
23
Accountants and auditors
24
Underwriters
25
Other financial officers
26
Management analysts
27
Personnel, training, and labor relations specialists
28
Purchasing agents and buyers, farm products
29
Buyers, wholesale and retail trade, except farm products
33
Purchasing agents and buyers, n.e.c.
34
Business and promotion agents
35
Construction inspectors
36
Inspectors and compliance officers, except construction
37
Management related occupations, n.e.c.
43
Architects
44
Aerospace
45
Metallurgical and materials
46
Mining
47
Petroleum
48
Chemical
49
Nuclear
53
Civil
54
Agricultural
55
Electrical and electronic
56
Industrial
57
Mechanical
58
Marine and naval architects
59
Engineers, n.e.c.
63
Surveyors and mapping scientists
64
Computer systems analysts and scientists
65
Operations and systems researchers and analysts
66
Actuaries
67
Statisticians
68
Mathematical scientists, n.e.c.
69
Physicists and astronomers
73
Chemists, except biochemists
74
Atmospheric and space scientists
75
Geologists and geodesists
76
Physical scientists, n.e.c.
77
Agricultural and food scientists
78
Biological and life scientists
79
Forestry and conservation scientists
83
Medical scientists
84
Physicians
85
Dentists
86
Veterinarians
87
Optometrists
88
Podiatrists
89
Health diagnosing practitioners, n.e.c.
95
Registered nurses
96
Pharmacists
97
Dietitians
98
Respiratory therapists
99
Occupational therapists
103
Physical therapists
104
Speech therapists
105
Therapists, n.e.c.
106
Physicians' assistants
113
Earth, environmental, and marine science teachers
114
Biological science teachers
115
Chemistry teachers
116
Physics teachers
117
Natural science teachers, n.e.c.
118
Psychology teachers
119
Economics teachers
123
History teachers
124
Political science teachers
125
Sociology teachers
126
Social science teachers, n.e.c.
127
Engineering teachers
128
Mathematical science teachers
129
Computer science teachers
133
Medical science teachers
134
Health specialties teachers
135
Business, commerce, and marketing teachers
136
Agriculture and forestry teachers
137
Art, drama, and music teachers
138
Physical education teachers
139
Education teachers
143
English teachers
144
Foreign language teachers
145
Law teachers
146
Social work teachers
147
Theology teachers
148
Trade and industrial teachers
149
Home economics teachers
153
Teachers, postsecondary, n.e.c.
154
Postsecondary teachers, subject n.s.
155
Teachers, prekindergarten and kindergarten
156
Teachers, elementary school
157
Teachers, secondary school
158
Teachers, special education
159
Teachers, n.e.c.
163
Counselors, educational and vocational
164
Librarians
165
Archivists and curators
166
Economists
167
Psychologists
168
Sociologists
169
Social scientists, n.e.c.
173
Urban planners
174
Social workers
175
Recreation workers
176
Clergy
177
Religious workers, n.e.c.
178
Lawyers
179
Judges
183
Authors
184
Technical writers
185
Designers
186
Musicians and composers
187
Actors and directors
188
Painters, sculptors, craft-artists, and artist printmakers
189
Photographers
193
Dancers
194
Artists, performers, and related workers, n.e.c.
195
Editors and reporters
197
Public relations specialists
198
Announcers
199
Athletes
203
Clinical laboratory technologists and technicians
204
Dental hygienists
205
Health record technologists and technicians
206
Radiologic technicians
207
Licensed practical nurses
208
Health technologists and technicians, n.e.c.
213
Electrical and electronic technicians
214
Industrial engineering technicians
215
Mechanical engineering technicians
216
Engineering technicians, n.e.c.
217
Drafting occupations
218
Surveying and mapping technicians
223
Biological technicians
224
Chemical technicians
225
Science technicians n.e.c.
226
Airplane pilots and navigators
227
Air traffic controllers
228
Broadcast equipment operators
229
Computer programmers
233
Tool programmers, numerical control
234
Legal assistants
235
Technician, n.e.c.
243
Supervisors and proprietors, sales occupations
253
Insurance sales occupations
254
Real estate sales occupations
255
Securities and financial services sales occupations
256
Advertising and related sales occupations
257
Sales occupations, other business services
258
Sales engineers
259
Sales representatives, mining, manufacturing, and wholesale
263
Sales workers, motor vehicles and boats
264
Sales workers, apparel
265
Sales workers, shoes
266
Sales workers, furniture and home furnishings
267
Sales workers, radio, TV, hi-fi, and appliances
268
Sales workers, hardware and building supplies
269
Sales workers, parts
274
Sales workers, other commodities
275
Sales counter clerks
276
Cashiers
277
Street and door-to-door sales workers
278
News vendors
283
Demonstrators, promoters and models, sales
284
Auctioneers
285
Sales support occupations, n.e.c.
303
Supervisors, general office
304
Supervisors, computer equipment operators
305
Supervisors, financial records processing
306
Chief communications operators
307
Supervisors; distribution, scheduling, and adjusting clerks
308
Computer operators
309
Peripheral equipment operators
313
Secretaries
314
Stenographers
315
Typists
316
Interviewers
317
Hotel clerks
318
Transportation ticket and reservation agents
319
Receptionists
323
Information clerks, n.e.c.
325
Classified-ad clerks
326
Correspondence clerks
327
Order clerks
328
Personnel clerks, except payroll and timekeeping
329
Library clerks
335
File clerks
336
Records clerks
337
Bookkeepers, accounting, and auditing clerks
338
Payroll and timekeeping clerks
339
Billing clerks
343
Cost and rate clerks
344
Billing, posting, and calculating machine operators
345
Duplicating machine operators
346
Mail preparing and paper handling machine operators
347
Office machine operators, n.e.c.
348
Telephone operators
349
Telegraphers
353
Communications equipment operators, n.e.c.
354
Postal clerks except mail carriers
355
Mail carriers, postal service
356
Mail clerks, except postal service
357
Messengers
359
Dispatchers
363
Production coordinators
364
Traffic, shipping, and receiving clerks
365
Stock and inventory clerks
366
Meter readers
368
Weighers, measurers, checkers, and samplers
373
Expediters
374
Material recording, scheduling, and distributing clerks, n.e.c.
375
Insurance adjusters, examiners, and investigators
376
Investigators and adjusters, except insurance
377
Eligibility clerks, social welfare
378
Bill and account collectors
379
General office clerks
383
Bank tellers
384
Proofreaders
385
Data-entry keyers
386
Statistical clerks
387
Teachers' aides
389
Administrative support occupations, n.e.c.
403
Launderers and ironers
404
Cooks, private household
405
Housekeepers and butlers
406
Child care workers, private household
407
Private household cleaners and servants
413
Supervisors, firefighting and fire prevention occupations
414
Supervisors, police and detectives
415
Supervisors, guards
416
Fire inspection and fire prevention occupations
417
Firefighting occupations
418
Police and detectives, public service
423
Sheriffs, bailiffs, and other law enforcement officers
424
Correctional institution officers
425
Crossing guards
426
Guards and police, except public service
427
Protective service occupations, n.e.c.
433
Supervisors, food preparation and service occupations
434
Bartenders
435
Waiters and waitresses
436
Cooks
438
Food counter, fountain and related occupations
439
Kitchen workers, food preparation
443
Waiters'/waitresses' assistants
444
Miscellaneous food preparation occupations
445
Dental assistants
446
Health aides, except nursing
447
Nursing aides, orderlies, and attendants
448
Supervisors, cleaning and building service workers
449
Maids and housemen
453
Janitors and cleaners
454
Elevator operators
455
Pest control occupations
456
Supervisors, personal service occupations
457
Barbers
458
Hairdressers and cosmetologists
459
Attendants, amusement and recreation facilities
461
Guides
462
Ushers
463
Public transportation attendants
464
Baggage porters and bellhops
465
Welfare service aides
466
Family child care providers
467
Early childhood teachers' assistants
468
Child care workers, n.e.c.
469
Personal service occupations, n.e.c.
473
Farmers, except horticultural
474
Horticultural specialty farmers
475
Managers, farms, except horticultural
476
Managers, horticultural specialty farms
477
Supervisors, farm workers
479
Farm workers
483
Marine life cultivation workers
484
Nursery workers
485
Supervisors, related agricultural occupations
486
Groundskeepers and gardeners, except farm
487
Animal caretakers, except farm
488
Graders and sorters, agricultural products
489
Inspectors, agricultural products
494
Supervisors, forestry, and logging workers
495
Forestry workers except logging
496
Timber cutting and logging occupations
497
Captains and other officers, fishing vessels
498
Fishers
499
Hunters and trappers
503
Supervisors, mechanics and repairers
505
Automobile mechanics
506
Automobile mechanic apprentices
507
Bus, truck, and stationary engine mechanics
508
Aircraft engine mechanics
509
Small engine repairers
514
Automobile body and related repairers
515
Aircraft mechanics, except engine
516
Heavy equipment mechanics
517
Farm equipment mechanics
518
Industrial machinery repairers
519
Machinery maintenance occupations
523
Electronic repairers, communications and industrial equipment
525
Data processing equipment repairers
526
Household appliance and power tool repairers
527
Telephone line installers and repairers
529
Telephone installers and repairers
533
Misc. electrical and electronic equipment repairers
534
Heating, air conditioning, and refrigeration mechanics
535
Camera, watch, and musical instrument repairers
536
Locksmiths and safe repairers
538
Office machine repairers
539
Mechanical controls and valve repairers
543
Elevator installers and repairers
544
Millwrights
547
Mechanics and repairers, n.e.c.
549
Mechanics and repairers, n.s.
553
Supervisors, brickmasons, stonemasons, and tile setters
554
Supervisors, carpenters and related workers
555
Supervisors, electricians and power transmission installers
556
Supervisors, painters, paperhangers, and plasterers
557
Supervisors, plumbers, pipefitters, and steamfitters
558
Supervisors, construction, n.e.c.
563
Brickmasons and stonemasons
564
Brickmason and stonemason apprentices
565
Tile setters, hard and soft
566
Carpet installers
567
Carpenters
569
Carpenter apprentices
573
Drywall installers
575
Electricians
576
Electrician apprentices
577
Electrical power installers and repairers
579
Painters, construction and maintenance
583
Paperhangers
584
Plasterers
585
Plumbers, pipefitters, and steamfitters
587
Plumber, pipe fitter, and steamfitter apprentices
588
Concrete and terrazzo finishers
589
Glaziers
593
Insulation workers
594
Paving, surfacing, and tamping equipment operators
595
Roofers
596
Sheetmetal duct installers
597
Structural metal workers
598
Drillers, earth
599
Construction trades, n.e.c.
613
Supervisors, extractive occupations
614
Drillers, oil well
615
Explosives workers
616
Mining machine operators
617
Mining occupations, n.e.c.
628
Supervisors, production occupations
634
Tool and die makers
635
Tool and die maker apprentices
636
Precision assemblers, metal
637
Machinists
639
Machinist apprentices
643
Boilermakers
644
Precision grinders, filers, and tool sharpeners
645
Patternmakers and model makers, metal
646
Lay-out workers
647
Precious stones and metals workers (jewelers)
649
Engravers, metal
653
Sheet metal workers
654
Sheet metal worker apprentices
655
Miscellaneous precision metal workers
656
Patternmakers and model makers, wood
657
Cabinet makers and bench carpenters
658
Furniture and wood finishers
659
Miscellaneous precision woodworkers
666
Dressmakers
667
Tailors
668
Upholsterers
669
Shoe repairers
674
Miscellaneous precision apparel and fabric workers
675
Hand molders and shapers, except jewelers
676
Patternmakers, lay-out workers, and cutters
677
Optical goods workers
678
Dental laboratory and medical appliance technicians
679
Bookbinders
683
Electrical and electronic equipment assemblers
684
Miscellaneous precision workers, n.e.c.
686
Butchers and meat cutters
687
Bakers
688
Food batchmakers
689
Inspectors, testers, and graders
693
Adjusters and calibrators
694
Water and sewage treatment plant operators
695
Power plant operators
696
Stationary engineers
699
Miscellaneous plant and system operators
703
Lathe and turning machine set-up operators
704
Lathe and turning machine operators
705
Milling and planing machine operators
706
Punching and stamping press machine operators
707
Rolling machine operators
708
Drilling and boring machine operators
709
Grinding, abrading, buffing, and polishing machine operators
713
Forging machine operators
714
Numerical control machine operators
715
Miscellaneous metal, plastic, stone, and glass working machine operators
717
Fabricating machine operators, n.e.c.
719
Molding and casting machine operators
723
Metal plating machine operators
724
Heat treating equipment operators
725
Miscellaneous metal and plastic processing machine operators
726
Wood lathe, routing, and planing machine operators
727
Sawing machine operators
728
Shaping and joining machine operators
729
Nailing and tacking machine operators
733
Miscellaneous woodworking machine operators
734
Printing press operators
735
Photoengravers and lithographers
736
Typesetters and compositors
737
Miscellaneous printing machine operators
738
Winding and twisting machine operators
739
Knitting, looping, taping, and weaving machine operators
743
Textile cutting machine operators
744
Textile sewing machine operators
745
Shoe machine operators
747
Pressing machine operators
748
Laundering and dry cleaning machine operators
749
Miscellaneous textile machine operators
753
Cementing and gluing machine operators
754
Packaging and filling machine operators
755
Extruding and forming machine operators
756
Mixing and blending machine operators
757
Separating, filtering, and clarifying machine operators
758
Compressing and compacting machine operators
759
Painting and paint spraying machine operators
763
Roasting and baking machine operators, food
764
Washing, cleaning, and pickling machine operators
765
Folding machine operators
766
Furnace, kiln, and oven operators, except food
768
Crushing and grinding machine operators
769
Slicing and cutting machine operators
773
Motion picture projectionists
774
Photographic process machine operators
777
Miscellaneous machine operators, n.e.c.
779
Machine operators, n.s.
783
Welders and cutters
784
Solderers and brazers
785
Assemblers
786
Hand cutting and trimming occupations
787
Hand molding, casting, and forming occupations
789
Hand painting, coating, and decorating occupations
793
Hand engraving and printing occupations
795
Miscellaneous hand working occupations
796
Production inspectors, checkers, and examiners
797
Production testers
798
Production samplers and weighers
799
Graders and sorters, except agricultural
803
Supervisors, motor vehicle operators
804
Truck drivers
806
Driver-sales workers
808
Bus drivers
809
Taxicab drivers and chauffeurs
813
Parking lot attendants
814
Motor transportation occupations, n.e.c.
823
Railroad conductors and yardmasters
824
Locomotive operating occupations
825
Railroad brake, signal, and switch operators
826
Rail vehicle operators, n.e.c.
828
Ship captains and mates, except fishing boats
829
Sailors and deckhands
833
Marine engineers
834
Bridge, lock, and lighthouse tenders
843
Supervisors, material moving equipment operators
844
Operating engineers
845
Longshore equipment operators
848
Hoist and winch operators
849
Crane and tower operators
853
Excavating and loading machine operators
855
Grader, dozer, and scraper operators
856
Industrial truck and tractor equipment operators
859
Miscellaneous material moving equipment operators
864
Supervisors, handlers, equipment cleaners, and laborers, n.e.c.
865
Helpers, mechanics and repairers
866
Helpers, construction trades
867
Helpers, surveyor
868
Helpers, extractive occupations
869
Construction laborers
874
Production helpers
875
Garbage collectors
876
Stevedores
877
Stock handlers and baggers
878
Machine feeders and offbearers
883
Freight, stock, and material handlers, n.e.c.
885
Garage and service station related occupations
887
Vehicle washers and equipment cleaners
888
Hand packers and packagers
889
Laborers, except construction
903
Commissioned Officers and Warrant Officers
904
Non-commissioned Officers and Other Enlisted Personnel
905
Military occupation, rank not specified
909
Last worked 1984 or earlier
This variable indicates the respondent's primary occupation, coded into a contemporary census classification scheme.
Work: Occupation Variables -- PERSON
IPUMS
Occupational income score
Occupational income score
Occupational income score
Occupational income score
Occupational income score
Occupational income score
Persons with an occupational response
NIU (not in universe)
4
4
5
5
6
6
9
9
10
10
11
11
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
48
48
49
49
50
50
58
58
61
61
63
63
79
79
This variable indicates occupational income scores to each occupation.
Work Variables -- PERSON
IPUMS
Duncan Socioeconomic Index
Duncan Socioeconomic Index
Duncan Socioeconomic Index
Duncan Socioeconomic Index
Duncan Socioeconomic Index
Duncan Socioeconomic Index
Persons with an occupational response
NIU (not in universe)
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
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
56
56
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
72
72
73
73
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
84
84
85
85
86
86
87
87
90
90
92
92
93
93
96
96
This variable indicates the Duncan Socioeconomic Index (SEI) score to each occupation.
Other Person Variables -- PERSON
IPUMS
Industry, 1950 basis
Industry, 1950 basis
Industry, 1950 basis
Industry, 1950 basis
Industry, 1950 basis
28. Industry or employer
28a. For whom did this person work?
If now on active duty in the Armed Forces, fill this circle [] and print the branch of the Armed Forces.
____
(Name of company, business, or other employer)
[If the person worked for a company, business, or government agency, print the name of the company, not the name of the person's supervisor. If the person worked for an individual or a business that had no company name, print the name of the individual worked for. If the person worked in his/her own business, print 'self-employed.']
28b. What kind of business or industry was this?
Describe the activity at location where employed.
____
(For example: hospital, newspaper publishing, mail order house, auto engine manufacturing, retail bakery)
[Print two or more words to tell what the business, industry, or individual employer named in 28a did. If there is more than one activity, describe only the major activity at the place where the person worked. Enter what is made, what is sold, or what service is given. Some examples of what to enter:
Enter a description like the following / Do not enter:
Metal furniture manufacturing / Furniture company
Retail grocery store / Grocery store
Petroleum refining / Oil company
Cattle ranch / Ranch]
28c. Is this mainly -- Fill one circle
[] Manufacturing
[] Wholesale trade
[] Retail trade
[] Other (agriculture, construction, service, government, etc.)
Persons age 16+ who had worked within the previous five years; not new workers
NIU (not in universe)
105
Agriculture
116
Forestry
126
Fisheries
206
Metal mining
216
Coal mining
226
Crude petroleum and natural gas extraction
236
Nonmetallic mining and quarrying, except fuel
246
Construction
306
Logging
307
Sawmills, planing mills, and mill work
308
Miscellaneous wood products
309
Furniture and fixtures
316
Glass and glass products
317
Cement, concrete, gypsum and plaster product
318
Structural clay products
319
Pottery and related products
326
Miscellaneous nonmetallic mineral and stone products
336
Blast furnaces, steel works, and rolling mil
337
Other primary iron and steel industries
338
Primary nonferrous industries
346
Fabricated steel products
348
Not specified metal industries
356
Agricultural machinery and tractors
357
Office and store machines and devices
358
Miscellaneous machinery
367
Electrical machinery, equipment, and supplie
376
Motor vehicles and motor vehicle equipment
377
Aircraft and parts
378
Ship and boat building and repairing
379
Railroad and miscellaneous transportation equipment
386
Professional equipment and supplies
387
Photographic equipment and supplies
388
Watches, clocks, and clockwork-operated devi
399
Miscellaneous manufacturing industries
406
Meat products
407
Dairy products
408
Canning and preserving fruits, vegetables, a
409
Grain-mill products
416
Bakery products
417
Confectionery and related products
418
Beverage industries
419
Miscellaneous food preparations and kindred products
426
Not specified food industries
429
Tobacco manufactures
436
Knitting mills
437
Dyeing and finishing textiles, except knit g
438
Carpets, rugs, and other floor coverings
439
Yarn, thread, and fabric mills
446
Miscellaneous textile mill products
448
Apparel and accessories
449
Miscellaneous fabricated textile products
456
Pulp, paper, and paperboard mills
457
Paperboard containers and boxes
458
Miscellaneous paper and pulp products
459
Printing, publishing, and allied industries
467
Drugs and medicines
468
Paints, varnishes, and related products
469
Miscellaneous chemicals and allied products
476
Petroleum refining
477
Miscellaneous petroleum and coal products
478
Rubber products
487
Leather: tanned, curried, and finished
488
Footwear, except rubber
489
Leather products, except footwear
506
Railroads and railway express service
516
Street railways and bus lines
526
Trucking service
527
Warehousing and storage
536
Taxicab service
546
Water transportation
556
Air transportation
567
Petroleum and gasoline pipe lines
568
Services incidental to transportation
578
Telephone
579
Telegraph
586
Electric light and power
587
Gas and steam supply systems
588
Electric-gas utilities
596
Water supply
597
Sanitary services
598
Other and not specified utilities
606
Motor vehicles and equipment
607
Drugs, chemicals, and allied products
608
Dry goods apparel
609
Food and related products
616
Electrical goods, hardware, and plumbing equ
617
Machinery, equipment, and supplies
618
Petroleum products
619
Farm products--raw materials
626
Miscellaneous wholesale trade
627
Not specified wholesale trade
636
Food stores, except dairy products
637
Dairy products stores and milk retailing
646
General merchandise stores
647
Five and ten cent stores
656
Apparel and accessories stores, except shoe
657
Shoe stores
658
Furniture and house furnishing stores
659
Household appliance and radio stores
667
Motor vehicles and accessories retailing
668
Gasoline service stations
669
Drug stores
679
Eating and drinking places
686
Hardware and farm implement stores
687
Lumber and building material retailing
688
Liquor stores
689
Retail florists
696
Jewelry stores
697
Fuel and ice retailing
698
Miscellaneous retail stores
699
Not specified retail trade
716
Banking and credit agencies
726
Security and commodity brokerage and investment companies
736
Insurance
746
Real estate
806
Advertising
807
Accounting, auditing, and bookkeeping services
808
Miscellaneous business services
816
Auto repair services and garages
817
Miscellaneous repair services
826
Private households
836
Hotels and lodging places
846
Laundering, cleaning, and dyeing services
847
Dressmaking shops
848
Shoe repair shops
849
Miscellaneous personal services
856
Radio broadcasting and television
857
Theaters and motion pictures
858
Bowling alleys, and billiard and pool parlors
859
Miscellaneous entertainment and recreation services
868
Medical and other health services, except hospi
869
Hospitals
879
Legal services
888
Educational services
896
Welfare and religious services
897
Nonprofit membership organizations
898
Engineering and architectural services
899
Miscellaneous professional and related services
906
Postal service
916
Federal public administration
936
Local public administration
This variable indicates the industry code according to the 1950 Census Bureau industrial classification system and thus enhances comparability of industry data across all years included in the IPUMS.
Work: Industry Variables -- PERSON
IPUMS
Industry
Industry
Industry
Industry
Industry
28. Industry or employer
28a. For whom did this person work?
If now on active duty in the Armed Forces, fill this circle [] and print the branch of the Armed Forces.
____
(Name of company, business, or other employer)
[If the person worked for a company, business, or government agency, print the name of the company, not the name of the person's supervisor. If the person worked for an individual or a business that had no company name, print the name of the individual worked for. If the person worked in his/her own business, print 'self-employed.']
28b. What kind of business or industry was this?
Describe the activity at location where employed.
____
(For example: hospital, newspaper publishing, mail order house, auto engine manufacturing, retail bakery)
[Print two or more words to tell what the business, industry, or individual employer named in 28a did. If there is more than one activity, describe only the major activity at the place where the person worked. Enter what is made, what is sold, or what service is given. Some examples of what to enter:
Enter a description like the following / Do not enter:
Metal furniture manufacturing / Furniture company
Retail grocery store / Grocery store
Petroleum refining / Oil company
Cattle ranch / Ranch]
28c. Is this mainly -- Fill one circle
[] Manufacturing
[] Wholesale trade
[] Retail trade
[] Other (agriculture, construction, service, government, etc.)
Persons age 16+ who had worked within the previous five years; not new workers
NIU (not in universe)
10
Agricultural production, crops
11
Agricultural production, livestock
12
Veterinary services
20
Landscape and horticultural services
30
Agricultural services, n.e.c.
31
Forestry
32
Fishing, hunting, and trapping
40
Metal mining
41
Coal mining
42
Oil and gas extraction
50
Nonmetallic mining and quarrying, except fuels
60
All construction
100
Meat products
101
Dairy products
102
Canned, frozen, and preserved fruits and vegetables
110
Grain mill products
111
Bakery products
112
Sugar and confectionery products
120
Beverage industries
121
Misc. food preparations and kindred products
122
Food industries, n.s.
130
Tobacco manufactures
132
Knitting mills
140
Dyeing and finishing textiles, except wool and knit goods
141
Carpets and rugs
142
Yarn, thread, and fabric mills
150
Miscellaneous textile mill products
151
Apparel and accessories, except knit
152
Miscellaneous fabricated textile products
160
Pulp, paper, and paperboard mills
161
Miscellaneous paper and pulp products
162
Paperboard containers and boxes
171
Newspaper publishing and printing
172
Printing, publishing, and allied industries, except newspapers
180
Plastics, synthetics, and resins
181
Drugs
182
Soaps and cosmetics
190
Paints, varnishes, and related products
191
Agricultural chemicals
192
Industrial and miscellaneous chemicals
200
Petroleum refining
201
Miscellaneous petroleum and coal products
210
Tires and inner tubes
211
Other rubber products, and plastics footwear and belting
212
Miscellaneous plastics products
220
Leather tanning and finishing
221
Footwear, except rubber and plastic
222
Leather products, except footwear
230
Logging
231
Sawmills, planing mills, and millwork
232
Wood buildings and mobile homes
241
Miscellaneous wood products
242
Furniture and fixtures
250
Glass and glass products
251
Cement, concrete, gypsum, and plaster products
252
Structural clay products
261
Pottery and related products
262
Misc. nonmetallic mineral and stone products
270
Blast furnaces, steelworks, rolling and finishing mills
271
Iron and steel foundries
272
Primary aluminum industries
280
Other primary metal industries
281
Cutlery, hand tools, and general hardware
282
Fabricated structural metal products
290
Screw machine products
291
Metal forgings and stampings
292
Ordnance
300
Miscellaneous fabricated metal products
301
Metal industries, n.s.
310
Engines and turbines
311
Farm machinery and equipment
312
Construction and material handling machines
320
Metalworking machinery
321
Office and accounting machines
322
Computers and related equipment
331
Machinery, except electrical, n.e.c.
332
Machinery, n.s.
340
Household appliances
341
Radio, TV, and communication equipment
342
Electrical machinery, equipment, and supplies, n.e.c.
350
Electrical machinery, equipment, and supplies, n.s.
351
Motor vehicles and motor vehicle equipment
352
Aircraft and parts
360
Ship and boat building and repairing
361
Railroad locomotives and equipment
362
Guided missiles, space vehicles, and parts
370
Cycles and miscellaneous transportation equipment
371
Scientific and controlling instruments
372
Medical, dental, and optical instruments and supplies
380
Photographic equipment and supplies
381
Watches, clocks, and clockwork operated devices
390
Toys, amusement, and sporting goods
391
Miscellaneous manufacturing industries
392
Manufacturing industries, n.s.
400
Railroads
401
Bus service and urban transit
402
Taxicab service
410
Trucking service
411
Warehousing and storage
412
U.S. Postal Service
420
Water transportation
421
Air transportation
422
Pipe lines, except natural gas
432
Services incidental to transportation
440
Radio and television broadcasting and cable
441
Telephone communications
442
Telegraph and miscellaneous communications services
450
Electric light and power
451
Gas and steam supply systems
452
Electric and gas, and other combinations
470
Water supply and irrigation
471
Sanitary services
472
Utilities, n.s.
500
Motor vehicles and equipment
501
Furniture and home furnishings
502
Lumber and construction materials
510
Professional and commercial equipment and supplies
511
Metals and minerals, except petroleum
512
Electrical goods
521
Hardware, plumbing and heating supplies
530
Machinery, equipment, and supplies
531
Scrap and waste materials
532
Miscellaneous wholesale, durable goods
540
Paper and paper products
541
Drugs, chemicals, and allied products
542
Apparel, fabrics, and notions
550
Groceries and related products
551
Farm-product raw materials
552
Petroleum products
560
Alcoholic beverages
561
Farm supplies
562
Miscellaneous wholesale, nondurable goods
571
Wholesale trade, n.s.
580
Lumber and building material retailing
581
Hardware stores
582
Retail nurseries and garden stores
590
Mobile home dealers
591
Department stores
592
Variety stores
600
Miscellaneous general merchandise stores
601
Grocery stores
602
Dairy products stores
610
Retail bakeries
611
Food stores, n.e.c.
612
Motor vehicle dealers
620
Auto and home supply stores
621
Gasoline service stations
622
Miscellaneous vehicle dealers
623
Apparel and accessory stores, except shoe
630
Shoe stores
631
Furniture and home furnishings stores
632
Household appliance stores
633
Radio, TV, and computer stores
640
Music stores
641
Eating and drinking places
642
Drug stores
650
Liquor stores
651
Sporting goods, bicycles, and hobby stores
652
Book and stationery stores
660
Jewelry stores
661
Gift, novelty, and souvenir shops
662
Sewing, needlework, and piece goods stores
663
Catalog and mail order houses
670
Vending machine operators
671
Direct selling establishments
672
Fuel dealers
681
Retail florists
682
Miscellaneous retail stores
691
Retail trade, n.s.
700
Banking
701
Savings institutions, including credit unions
702
Credit agencies, n.e.c.
710
Security, commodity brokerage, and investment companies
711
Insurance
712
Real estate, including real estate-insurance offices
721
Advertising
722
Services to dwellings and other buildings
731
Personnel supply services
732
Computer and data processing services
740
Detective and protective services
741
Business services, n.e.c.
742
Automotive rental and leasing, without drivers
750
Automobile parking and carwashes
751
Automotive repair and related services
752
Electrical repair shops
760
Miscellaneous repair services
761
Private households
762
Hotels and motels
770
Lodging places, except hotels and motels
771
Laundry, cleaning, and garment services
772
Beauty shops
780
Barber shops
781
Funeral service and crematories
782
Shoe repair shops
790
Dressmaking shops
791
Miscellaneous personal services
800
Theaters and motion pictures
801
Video tape rental
802
Bowling centers
810
Miscellaneous entertainment and recreation services
812
Offices and clinics of physicians
820
Offices and clinics of dentists
821
Offices and clinics of chiropractors
822
Offices and clinics of optometrists
830
Offices and clinics of health practitioners, n.e.c.
831
Hospitals
832
Nursing and personal care facilities
840
Health services, n.e.c.
841
Legal services
842
Elementary and secondary schools
850
Colleges and universities
851
Vocational schools
852
Libraries
860
Educational services, n.e.c.
861
Job training and vocational rehabilitation services
862
Child day care services
863
Family child care homes
870
Residential care facilities, without nursing
871
Social services, n.e.c.
872
Museums, art galleries, and zoos
873
Labor unions
880
Religious organizations
881
Membership organizations, n.e.c.
882
Engineering, architectural, and surveying services
890
Accounting, auditing, and bookkeeping services
891
Research, development, and testing services
892
Management and public relations services
893
Miscellaneous professional and related services
900
Executive and legislative offices
901
General government, n.e.c.
910
Justice, public order, and safety
921
Public finance, taxation, and monetary policy
922
Administration of human resources programs
930
Administration of environmental quality and housing programs
931
Administration of economic programs
932
National security and international affairs
940
Army
941
Air Force
942
Navy
950
Marines
951
Coast Guard
952
Armed Forces, branch not specified
960
Military Reserves or National Guard
992
Last worked 1984 or earlier
This variable indicates the type of industry in which the person performed an occupation.
Work: Industry Variables -- PERSON
IPUMS
Class of worker
Class of worker
Class of worker
Class of worker
Class of worker
30. Was this person -- Fill one circle
[] Employee of a private for profit company or business or of an individual, for wages, salary, or commissions
[] Employee of a private not-for-profit, tax-exempt, or charitable organization
[] Local government employee (city, county, etc.)
[] State government employee
[] Federal government employee
[] Self-employed in own not incorporated business, professional practice, or farm
[] Self-employed in own incorporated business, professional practice, or farm
[] Working without pay in family business or farm
[Mark Employee of a private not-for-profit organization if the person worked for a cooperative, credit union, mutual insurance company, or similar organization. Employees of foreign governments, the United Nations, and other international organizations should mark private not-for-profit organization. For persons who worked at a public school, college or university, mark the appropriate government category; for example, mark State government employee for a state university, or mark Local government employee for a county-run community college or a city-run public school.]
Persons age 16+ who had worked within the previous five years
NIU (not in universe)
13
Self-employed, not incorporated
14
Self-employed, incorporated
22
Wage/salary, private
23
Wage/salary at non-profit
25
Federal government employee
27
State government employee
28
Local government employee
29
Unpaid family worker
This variable indicates whether respondents worked for their own enterprise(s) or for someone else as employees.
Work Variables -- PERSON
IPUMS
Weeks worked last year
Weeks worked last year
Weeks worked last year
Weeks worked last year
Weeks worked last year
31a. Last year (1989), did this person work, even for a few days, at a paid job or in a business or farm?
[] Yes
[] No -- Skip to 32
[Look at the instructions for question 21a to see what to count as work.]
31b. How many weeks did this person work in 1989?
Count paid vacation, paid sick leave, and military service.
____ Weeks
[Count every week in which the person did any work at all, even for an hour.]
31c. During the weeks worked in 1989, how many hours did this person usually work each week?
____ Hours
Persons age 16+, worked last year
NIU (not in universe)
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
This variable indicates the number of weeks that the respondent worked for profit, pay, or as an unpaid family worker during the previous year.
Work Variables -- PERSON
IPUMS
Weeks worked last year, intervalled
Weeks worked last year, intervalled
Weeks worked last year, intervalled
Weeks worked last year, intervalled
Weeks worked last year, intervalled
31a. Last year (1989), did this person work, even for a few days, at a paid job or in a business or farm?
[] Yes
[] No -- Skip to 32
[Look at the instructions for question 21a to see what to count as work.]
31b. How many weeks did this person work in 1989?
Count paid vacation, paid sick leave, and military service.
____ Weeks
[Count every week in which the person did any work at all, even for an hour.]
31c. During the weeks worked in 1989, how many hours did this person usually work each week?
____ Hours
Persons age 16+, worked last year
NIU (not in universe)
1
1 -13 weeks
2
14 -26 weeks
3
27 -39 weeks
4
40 -47 weeks
5
48 -49 weeks
6
50 -52 weeks
This variable indicates the number of weeks that the respondent worked for profit, pay, or as an unpaid family worker during the previous year.
Work Variables -- PERSON
IPUMS
Hours worked last week
Hours worked last week
Hours worked last week
Hours worked last week
Hours worked last week
21a. Did this person work at any time last week?
[] Yes -- Fill this circle if this person worked full time or part time. (Count as part-time work such as delivering papers, or helping without pay in a family business or farm. Also count active duty in the Armed Forces.)
[] No -- Fill this circle if this person did not work, or did only own housework, school work, or volunteer work. -- Skip to 25.
[Count as work - Mark yes:
- Work for someone else for wages, salary, piece rate, commission, tips, or payments "in kind" (for example, food, lodging received as payment for work performed).
- Work in own business, professional practice, or farm.
- Any work in a family business or farm, paid or not.
- Any part-time work including babysitting, paper routes, etc.
- Active duty in Armed Forces.
Do not count as work - Mark no:
- Housework or yard work at home.
- Unpaid volunteer work.
- School work.
- Work done as a resident of an institution.]
21b. How many hours did this person work last week (at all jobs)?
Subtract any time off. Add overtime or extra hours worked.
____ Hours
Persons age 16+, at work last week
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99 +
This variable indicates the total number of hours the respondent was at work during the previous week.
Work Variables -- PERSON
IPUMS
Hours worked last week, intervalled
Hours worked last week, intervalled
Hours worked last week, intervalled
Hours worked last week, intervalled
Hours worked last week, intervalled
21a. Did this person work at any time last week?
[] Yes -- Fill this circle if this person worked full time or part time. (Count as part-time work such as delivering papers, or helping without pay in a family business or farm. Also count active duty in the Armed Forces.)
[] No -- Fill this circle if this person did not work, or did only own housework, school work, or volunteer work. -- Skip to 25.
[Count as work - Mark yes:
- Work for someone else for wages, salary, piece rate, commission, tips, or payments "in kind" (for example, food, lodging received as payment for work performed).
- Work in own business, professional practice, or farm.
- Any work in a family business or farm, paid or not.
- Any part-time work including babysitting, paper routes, etc.
- Active duty in Armed Forces.
Do not count as work - Mark no:
- Housework or yard work at home.
- Unpaid volunteer work.
- School work.
- Work done as a resident of an institution.]
21b. How many hours did this person work last week (at all jobs)?
Subtract any time off. Add overtime or extra hours worked.
____ Hours
Persons age 16+, at work last week
NIU (not in universe)
1
1 -14 hours
2
15 -29 hours
3
30 -34 hours
4
35 -39 hours
5
40 hours
6
41 -48 hours
7
49 -59 hours
8
60 hours +
This variable indicates the total number of hours the respondent was at work during the previous week.
Work Variables -- PERSON
IPUMS
Usual hours worked per week
Usual hours worked per week
Usual hours worked per week
Usual hours worked per week
Usual hours worked per week
31a. Last year (1989), did this person work, even for a few days, at a paid job or in a business or farm?
[] Yes
[] No -- Skip to 32
[Look at the instructions for question 21a to see what to count as work.]
31b. How many weeks did this person work in 1989?
Count paid vacation, paid sick leave, and military service.
____ Weeks
[Count every week in which the person did any work at all, even for an hour.]
31c. During the weeks worked in 1989, how many hours did this person usually work each week?
____ Hours
Persons age 16+, worked last year
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
This variable indicates the number of hours per week that the respondent usually worked, if the person worked during the previous year.
Work Variables -- PERSON
IPUMS
Year last worked
Year last worked
Year last worked
Year last worked
Year last worked
27. When did this person last work, even for a few days?
[] 1990 -- Go to 28
[] 1989 -- Go to 28
[] 1988 -- Go to 28
[] 1980 to 1984 -- Skip to 32
[] 1979 or earlier -- Skip to 32
[] Never worked -- Skip to 32
[] 1985 to 1987 -- Go to 28
[Look at the instructions for question 21a to see what to count as work. Mark never worked if the person: (1) never worked at any kind of job or business, either full or part time, (2) never did any work, with or without pay, in a family business or farm, and (3) never served in the Armed Forces.]
Persons age 16+ who did not work last week
NIU (not in universe)
1
Worked current year
2
Worked previous year
3
Worked 2 years prior
4
Worked 3 -5 years ago
5
Worked 6 -10 years ago
6
Worked more than 10 years ago
7
Never worked
This variable indicates the year in which the respondent last worked for profit, pay, or as an unpaid family worker.
Work Variables -- PERSON
IPUMS
Worked last year
Worked last year
Worked last year
Worked last year
Worked last year
Worked last year
Persons age 16+
NIU (not in universe)
1
No
2
Yes
This variable indicates whether the person had worked at all for profit, pay, or as an unpaid family worker during the previous year.
Work Variables -- PERSON
IPUMS
Absent from work last week
Absent from work last week
Absent from work last week
Absent from work last week
Absent from work last week
31a. Last year (1989), did this person work, even for a few days, at a paid job or in a business or farm?
[] Yes
[] No -- Skip to 32
[Look at the instructions for question 21a to see what to count as work.]
31b. How many weeks did this person work in 1989?
Count paid vacation, paid sick leave, and military service.
____ Weeks
[Count every week in which the person did any work at all, even for an hour.]
31c. During the weeks worked in 1989, how many hours did this person usually work each week?
____ Hours
Persons age 16+, not at work during the previous week
NIU (not in universe)
1
No
2
Yes, laid off
3
Yes, other reason (vacation, illness, labor disput
9
Unknown
This variable indicates whether persons who did not work during the previous week had a job or business from which they were temporarily absent and, if so, whether they were absent due to a layoff or for some other reason.
Work Variables -- PERSON
IPUMS
Looking for work
Looking for work
Looking for work
Looking for work
Looking for work
26a. Has this person been looking for work during the last 4 weeks?
[] Yes
[] No -- Skip to 27
[Mark yes if the person tried to get a job or to start a business or professional practice at any time in the last 4 weeks; for example, registered at an employment office, went to a job interview, placed or answered ads, or did anything toward starting a business or professional practice.]
Persons age 16+, not at work during previous week
NIU (not in universe)
1
No, did not look for work
2
Yes, looked for work
9
Unknown
This variable indicates whether or not persons who did not work during the previous week had actively sought a job or pursued opening their own business or professional practice within the past four weeks.
Work Variables -- PERSON
IPUMS
Available for work
Available for work
Available for work
Available for work
Available for work
26b. Could this person have taken a job last week if one had been offered?
[] No, already has job
[] No, temporarily ill
[] No, other reasons (in school, etc.)
[] Yes, could have taken job
[Mark no, already has a job if the person was on layoff or was expecting to report to a job within 30 days. Mark no, temporarily ill if the person expects to be able to work within 30 days. Mark no, other reasons if the person could not have taken a job because he or she was going to school, taking care of children, etc.]
Persons age 16+, not at work during previous week and actively looking for work
NIU (not in universe)
1
No, already has job
2
No, temporarily ill
3
No, other reason(s)
4
Yes, available for work
This variable indicates whether or not persons who did not work during the previous week and were actively seeking a job or planning to open their own business or professional practice were currently available to take any work they might find.
Work Variables -- PERSON
IPUMS
Total personal income
Total personal income
Total personal income
Total personal income
Total personal income
16. When was this person born?
[] Born before April 1, 1975 -- go to 17a
[] Born April 1, 1975 or later -- go to questions for the next person
33. What was this person's total income in 1989?
Add entries in questions 32a through 32h; subtract any losses. If total amount was a loss, write "loss" above amount.
[] None
Or
____ Annual amount -- Dollars
All persons
This variable indicates each respondent's total pre-tax personal income or losses from all sources for the previous year.
Income Variables -- PERSON
IPUMS
Wage and salary income
Wage and salary income
Wage and salary income
Wage and salary income
Wage and salary income
32. Income in 1989 --
Fill the "yes" circle below for each income source received during 1989. Otherwise, fill the "no" circle. If "yes," enter the total amount received during 1989. For income received jointly, see instruction guide. If exact amount is not known, please give best estimate. If net income was a loss, write "loss" above the dollar amount.
[Fill the yes or no circle for each part and enter the amount received during 1989. If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and fill the no circle for the other person.]
32a. Wages, salary, commissions, bonuses, or tips from all jobs
Report amount before deductions for taxes, bonds, dues, or other items.
[] Yes
____ Annual amount -- Dollars
[] No
[Include wages and salaries from all jobs before deductions. Be sure to include any tips, commissions, or bonuses. Owners of incorporated businesses should enter their salary here. Military personnel should include base pay plus cash housing and/or subsistence allowance, flight pay, uniform allotments, reenlistment bonuses, etc.]
Persons age 16+
This variable indicates each respondent's total pre-tax wage and salary income for the previous year.
Income Variables -- PERSON
IPUMS
Poverty status
Poverty status
Poverty status
Poverty status
Poverty status
33. What was this person's total income in 1989?
Add entries in questions 32a through 32h; subtract any losses. If total amount was a loss, write "loss" above amount.
[] None
Or
____ Annual amount -- Dollars
Private, occupied and vacant dwellings
This variable indicates each family's total income for the previous year as a percentage of the poverty thresholds established by the Social Security Administration in 1964 and subsequently revised in 1980, adjusted for inflation.
Income Variables -- PERSON
IPUMS
Non-farm business income
Non-farm business income
Non-farm business income
Non-farm business income
Non-farm business income
32. Income in 1989 --
Fill the "yes" circle below for each income source received during 1989. Otherwise, fill the "no" circle. If "yes," enter the total amount received during 1989. For income received jointly, see instruction guide. If exact amount is not known, please give best estimate. If net income was a loss, write "loss" above the dollar amount.
[Fill the yes or no circle for each part and enter the amount received during 1989. If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and fill the no circle for the other person.]
32b. Self-employment income from own nonfarm business, including proprietorship and partnership
Report net income after business expenses.
[] Yes
____ Annual amount -- Dollars
[] No
[Include non-farm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated businesses you own.]
Persons age 16+
This variable indicates the respondent's net pre-income-tax non-farm business and/or professional practice income for the previous calendar year.
Income Variables -- PERSON
IPUMS
Farm income
Farm income
Farm income
Farm income
Farm income
32. Income in 1989 --
Fill the "yes" circle below for each income source received during 1989. Otherwise, fill the "no" circle. If "yes," enter the total amount received during 1989. For income received jointly, see instruction guide. If exact amount is not known, please give best estimate. If net income was a loss, write "loss" above the dollar amount.
[Fill the yes or no circle for each part and enter the amount received during 1989. If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and fill the no circle for the other person.]
32c. Farm self-employment income
Report net income after operating expenses. Include earnings as a tenant farmer or sharecropper.
[] Yes
____ Annual amount -- Dollars
[] No
[Include farm profit (or loss) from self-employment in sole proprietorships and partnerships. Exclude profit (or loss) of incorporated farm businesses you own. Also exclude amounts from land rented for cash but include amounts from land rented for shares.]
Persons age 16+
This variable indicates the respondent's net pre-income-tax earnings as a tenant farmer, sharecropper, or operator of his/her own farm during the previous calendar year.
Income Variables -- PERSON
IPUMS
Social Security income
Social Security income
Social Security income
Social Security income
Social Security income
32. Income in 1989 --
Fill the "yes" circle below for each income source received during 1989. Otherwise, fill the "no" circle. If "yes," enter the total amount received during 1989. For income received jointly, see instruction guide. If exact amount is not known, please give best estimate. If net income was a loss, write "loss" above the dollar amount.
[Fill the yes or no circle for each part and enter the amount received during 1989. If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and fill the no circle for the other person.]
32e. Social Security or Railroad Retirement
[] Yes
____ Annual amount -- Dollars
[] No
[Include Social Security (and/or Railroad Retirement) payments to retired persons, to dependents of deceased insured workers, and to disabled workers before Medicare deductions.]
Persons age 15+
This variable indicates how much pre-tax income (if any) the respondent received from Social Security pensions, survivors benefits, or permanent disability insurance, as well as U.S. government Railroad Retirement insurance payments, during the previous year.
Income Variables -- PERSON
IPUMS
Welfare (public assistance) income
Welfare (public assistance) income
Welfare (public assistance) income
Welfare (public assistance) income
Welfare (public assistance) income
32. Income in 1989 --
Fill the "yes" circle below for each income source received during 1989. Otherwise, fill the "no" circle. If "yes," enter the total amount received during 1989. For income received jointly, see instruction guide. If exact amount is not known, please give best estimate. If net income was a loss, write "loss" above the dollar amount.
[Fill the yes or no circle for each part and enter the amount received during 1989. If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and fill the no circle for the other person.]
32f. Supplemental Security Income (SSI), Aid to Families with Dependent Children (AFDC), or other public assistance or public welfare payments.
[] Yes
____ Annual amount -- Dollars
[] No
[Include Supplemental Security Income received by aged, blind, or disabled persons, Aid to Families with Dependent Children, or income from other government programs such as general or emergency assistance. Do not include assistance received from private charities. Exclude assistance to pay for heating (cooling) costs.]
Persons age 15+
This variable indicates how much pre-tax income (if any) the respondent received during the previous year from various public assistance programs commonly referred to as "welfare."
Income Variables -- PERSON
IPUMS
Interest, dividend, and rental income
Interest, dividend, and rental income
Interest, dividend, and rental income
Interest, dividend, and rental income
Interest, dividend, and rental income
32. Income in 1989 --
Fill the "yes" circle below for each income source received during 1989. Otherwise, fill the "no" circle. If "yes," enter the total amount received during 1989. For income received jointly, see instruction guide. If exact amount is not known, please give best estimate. If net income was a loss, write "loss" above the dollar amount.
[Fill the yes or no circle for each part and enter the amount received during 1989. If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and fill the no circle for the other person.]
32d. Interest, dividends, net rental income or royalty income, or income from estates and trusts
Report even small amounts credited to an account.
[] Yes
____ Annual amount -- Dollars
[] No
[Include interest received or credited to checking and savings accounts, money market funds, certificates of deposit (CDS), IRAs, KEOGHs, and government bonds. Include dividends received, credited, or reinvested from ownership of stocks or mutual funds. Include profit (or loss) from royalties and the rental of land, buildings or real estate, or from roomers or boarders. Income received by self-employed persons whose primary source of income is from renting property or from royalties should be included in questions 32b or 32c above. Include regular payments from an estate or trust fund.]
Persons age 15+
This variable indicates how much pre-tax money the respondent received or lost during the previous year in the form of income from an estate or trust, interest, dividends, royalties, and rents received.
Income Variables -- PERSON
IPUMS
Total personal earned income
Total personal earned income
Total personal earned income
Total personal earned income
Total personal earned income
33. What was this person's total income in 1989?
Add entries in questions 32a through 32h; subtract any losses. If total amount was a loss, write "loss" above amount.
[] None
Or
____ Annual amount -- Dollars
All persons
This variable indicates income earned from wages or a person's own business or farm for the previous year.
Income Variables -- PERSON
IPUMS
Other income
Other income
Other income
Other income
Other income
32. Income in 1989 --
Fill the "yes" circle below for each income source received during 1989. Otherwise, fill the "no" circle. If "yes," enter the total amount received during 1989. For income received jointly, see instruction guide. If exact amount is not known, please give best estimate. If net income was a loss, write "loss" above the dollar amount.
[Fill the yes or no circle for each part and enter the amount received during 1989. If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and fill the no circle for the other person.]
32h. Any other sources of income received regularly such as Veterans' (VA) payments, unemployment compensation, child support, or alimony
Do not include lump-sum payments such as money from an inheritance or the sale of a home.
[] Yes
____ Annual amount -- Dollars
[] No
[Include Veterans' (VA) disability compensation and educational assistance payments (VEAP), unemployment compensation, child support or alimony, and all other regular payments such as Armed Forces transfer payments; assistance from private charities; regular contributions from persons not living in the household, etc.
[Do not include the following as income in any item:
- Refunds or rebates of any kind
- Withdrawals from savings of any kind
- Capital gains or losses from the sale of homes, shares of stock, etc.
- Inheritances or insurance settlements
- Any type of loan
- Pay in-kind such as food, free rent, etc.]
Persons age 15+
This variable indicates how much of each respondent's total money income (or losses) came from sources not included in the other IPUMS person-record income variables.
Income Variables -- PERSON
IPUMS
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
14a. Did this person live in this house or apartment 5 years ago (on April 1, 1985)?
[] Born after April 1, 1985 -- Go to questions for the next person
[] Yes -- Skip to 15a
[] No
[Mark yes if this person lived in this same house or apartment on April 1, 1985, even if he/she moved away and came back since then. Mark no if this person lived in the same building but in a different apartment (or in the same mobile home or trailer but on a different lot or trailer site).]
Persons age 5+
NIU (not in universe)
1
Same house
2
Place not reported
This variable indicates whether a person age 5+ had changed residence since a reference point 5 years ago.
Migration Variables -- PERSON
IPUMS
State or country of residence 5 years ago
State or country of residence 5 years ago
State or country of residence 5 years ago
State or country of residence 5 years ago
State or country of residence 5 years ago
14 b. Where did this person live 5 years ago (on April 1, 1985)?
(1) Name of U.S. State or foreign country ____
(If outside U.S., print answer above and skip to 15a.)
[If this person lived in a different house or apartment on April 1, 1985, give the location of this person's usual home at that time.]
(2) Name of county in the U.S. ____
[If the person lived in the United States on April 1, 1985, print the name of the State (or District of Columbia) where he or she lived. Continue with parts (2) through (4). If the person lived in a U.S. territory or commonwealth, print the name of the territory or commonwealth, such as Puerto Rico, U.S. Virgin Islands, Guam, American Samoa, or Northern Marianas. Then go to question 15a. If the person lived outside the United States, print the name of the foreign country or area where he or she lived. Specify whether Northern Ireland or the Republic of Ireland (Eire); East or West Germany; North or South Korea; England, Scotland or Wales (not Great Britain or United Kingdom). Specify the particular country or island in the Caribbean (not, for example, West Indies). Then go to question 15a.]
Persons age 5+ who lived in different house 5 years ago
NIU (not in universe)
1
Alabama
2
Alaska
4
Arizona
5
Arkansas
6
California
8
Colorado
9
Connecticut
10
Delaware
11
District of Columbia
12
Florida
13
Georgia
15
Hawaii
16
Idaho
17
Illinois
18
Indiana
19
Iowa
20
Kansas
21
Kentucky
22
Louisiana
23
Maine
24
Maryland
25
Massachusetts
26
Michigan
27
Minnesota
28
Mississippi
29
Missouri
30
Montana
31
Nebraska
32
Nevada
33
New Hampshire
34
New Jersey
35
New Mexico
36
New York
37
North Carolina
38
North Dakota
39
Ohio
40
Oklahoma
41
Oregon
42
Pennsylvania
44
Rhode Island
45
South Carolina
46
South Dakota
47
Tennessee
48
Texas
49
Utah
50
Vermont
51
Virginia
53
Washington
54
West Virginia
55
Wisconsin
56
Wyoming
110
Puerto Rico
911
Abroad, n.s.
This variable indicates the U.S. state or the foreign country where the respondent was living 5 years ago.
Migration Variables -- PERSON
IPUMS
Metropolitan area of residence 5 years ago
Metropolitan area of residence 5 years ago
Metropolitan area of residence 5 years ago
Metropolitan area of residence 5 years ago
Metropolitan area of residence 5 years ago
(3) Name of city or town in the U.S. ____
[If the person lived in Louisiana, print the parish name. If the person lived in Alaska, print the borough name. If the person lived in New York city and the county name is not known, print the borough name. If the person lived in an independent city (not in any county) or in Washington, D.C. leave blank and enter the city name in part (3).]
Persons age 5+ who did not live in the same house 5 years ago and resided in an identifiable metropolitan area
NIU (not in universe)
40
Abilene, TX
80
Undocumented
160
Albany-Schenectady-Troy, NY
200
Albuquerque, NM
220
Alexandria, LA
240
Allentown-Bethlehem-Easton, PA
280
Altoona, PA
320
Amarillo, TX
380
Anchorage, AK
400
Anderson, IN
440
Ann Arbor, MI
450
Anniston, AL
460
Appleton-Oskosh-Neenah, WI
480
Asheville, NC
520
Atlanta, GA
560
Atlantic City, NJ
600
Augusta, GA-SC
640
Austin, TX
680
Bakersfield, CA
720
Baltimore, MD
760
Baton Rouge, LA
780
Battle Creek, MI
840
Beaumont-Port Arthur, TX
860
Bellingham, WA
870
Benton Harbor, MI
880
Billings, MT
920
Biloxi-Gulfport, MS
960
Binghamton, NY
1000
Birmingham, AL
1020
Bloomington, IN
1040
Bloomington-Normal, IL
1080
Boise City, ID
1120
Boston, MA
1121
Lawrence-Haverhill, MA/NH
1122
Lowell, MA/NH
1123
Salem-Gloucester, MA
1140
Bradenton, FL
1150
Bremerton, WA
1160
Bridgeport, CT
1200
Brockton, MA
1240
Brownsville - Harlingen-San Benito, TX
1260
Bryan-College Station, TX
1280
Buffalo, NY
1281
[no label]
1300
[no label]
1320
Canton, OH
1360
Cedar Rapids, IA
1400
Champaign-Urbana-Rantoul, IL
1440
Charleston, SC
1520
Charlotte, NC
1560
Chattanooga, TN
1600
Chicago, IL
1601
[no label]
1602
Gary-Hammond-East Chicago, IN
1603
[no label]
1604
[no label]
1620
Chico, CA
1640
Cincinnati, OH-KY
1660
Clarksville-Hopkinsville, TN/KY
1680
Cleveland, OH
1720
Colorado Springs, CO
1740
Columbia, MO
1760
Columbia, SC
1840
Columbus, OH
1880
Corpus Christi, TX
1920
Dallas, TX
1921
Fort Worth, TX
1930
Danbury, CT
1950
Danville, VA
1960
Davenport-Rock Island- Moline, IA/IL
2000
Dayton, OH
2020
Daytona Beach, FL
2030
Decatur, AL
2040
Decatur, IL
2080
Denver, CO
2081
Boulder-Longmont, CO
2120
Des Moines, IA
2160
Detroit, MI
2240
Duluth, MN
2290
Eau Claire, WI
2310
El Paso, TX
2320
Elkhart-Goshen, IA
2360
Erie, PA
2400
Eugene-Springfield, OR
2560
Fayetteville, NC
2580
Fayetteville-Springdale, AR
2640
Flint, MI
2650
Florence, AL
2660
Florence, SC
2670
Fort Collins-Loveland, CO
2680
Fort Lauderdale-Hollywood-Pompano Beach, FL
2700
Fort Myers-Cape Coral, FL
2710
Fort Pierce, FL
2760
Fort Wayne, IN
2840
Fresno, CA
2900
Gainesville, FL
2920
[no label]
3000
Grand Rapids, MI
3060
Greeley, CO
3120
Greensboro-High Point, NC
3160
Greenville-Spartenburg-Anderson, SC
3161
[no label]
3180
Hagerstown, MD
3200
Hamilton-Middleton, OH
3240
Harrisburg, PA
3280
Hartford, CT
3283
[no label]
3290
Hickory-Morgantown, NC
3320
Balance of Honolulu
3350
Houma-Thibodoux, LA
3360
Houston, TX
3361
Brazoria, TX
3480
Indianapolis, IN
3520
Jackson, MI
3560
[no label]
3590
Jacksonville, FL
3600
Jacksonville, NC
3610
Jamestown-Dunkirk, NY
3620
Janesville-Beloit, WI
3660
Johnson City-Kingsport-Bristol, TN/VA
3680
Johnstown, PA
3710
Joplin, MO
3720
Kalamazo, MI
3760
Kansas City, MO/KS
3800
Kenosha, WI
3810
Killeen-Temple, TX
3840
Knoxville, TN
3880
Lafayette, LA
3920
Lafayette-W.Lafayette, IN
3980
Lakeland-Winterhaven, FL
4000
Lancaster, PA
4040
Lansing, MI
4100
Las Cruces, NM
4120
Las Vegas, NV
4280
Lexington-Fayette, KY
4320
Lima, OH
4360
Lincoln, NE
4400
Little Rock-North Little Rock, AR
4420
Longview-Marshall, TX
4440
Lorain-Elyria, OH
4480
Los Angeles, CA
4481
[no label]
4520
Louisville, KY/IN
4600
Lubbock, TX
4680
Bibb, GA
4720
Madison, WI
4800
Mansfield, OH
4880
McAllen-Edinburg-Pharr-Mission, TX
4890
Medford, OR
4900
Melbourne-Titusville-Cocoa-Palm Bay, FL
4920
Memphis, TN
4940
Merced, CA
5000
Miami, FL
5040
[no label]
5080
Milwaukee, WI
5120
Minneapolis-St. Paul, MN
5160
Mobile, AL
5170
Modesto, CA
5190
Monmouth-Ocean, NJ
5200
Monroe, LA
5240
Montgomery, AL
5280
Muncie, IN
5360
Nashville, TN
5400
Bristol, MA
5480
New Haven, CT
5520
New London-Norwich, CT-RI
5560
New Orleans, LA
5600
New York-Northeastern NJ
5601
Nassau-Suffolk, NY
5602
Bergen-Passaic, NJ
5603
Jersey City, NJ
5604
Middlesex-Somerset-Hunterdon, NJ
5605
Newark, NJ
5720
Norfolk-Portsmouth, VA
5790
Ocala, FL
5800
Odessa, TX
5880
Oklahoma City, OK
5910
Olympia, WA
5920
Omaha, NE
5950
Orange, NY
5960
Orlando, FL
6030
[no label]
6080
Pensacola, FL
6120
Peoria, IL
6160
Philadelphia, PA/NJ
6200
Phoenix, AZ
6280
Pittsburgh, PA
6440
Portland, OR/WA
6441
[no label]
6480
Providence, RI
6481
Fall River, MA
6482
[no label]
6520
Provo-Urem, UT
6560
Pueblo, CO
6600
Racine, WI
6640
Raleigh-Durham-Chapel Hill, NC
6680
Reading, PA
6690
Redding, CA
6720
Reno, NV
6740
Richland-Kennewick-Pasco, WA
6760
Richmond, VA
6780
Riverside, CA
6800
[no label]
6820
Rochester, MN
6840
Rochester, NY
6880
Rockford, IL
6920
Sacramento, CA
6960
Saginaw, MI
6980
St. Cloud, MN
7040
St. Louis, MO/IL
7080
Salem, OR
7120
Salinas-Sea Side-Monterey, CA
7160
Salt Lake City, UT
7240
San Antonio, TX
7320
San Diego, CA
7360
San Francisco-Oakland, CA
7361
Oakland, CA
7362
Vallejo-Fairfield-Napa, CA
7400
San Jose, CA
7470
Santa Barbara-Santa Maria-Lompoc, CA
7480
Santa Cruz, CA
7490
Santa Fe, NM
7500
Santa Rosa-Petaluma, CA
7510
Sarasota, FL
7520
Savannah, GA
7560
Scranton, PA
7600
Seattle, WA
7610
Sharon, PA
7680
Shreveport, LA
7800
South Bend, IN
7840
Spokane, WA
7880
Springfield, IL
7920
Springfield, MO
8000
Springfield-Holyoke, MA
8040
Stamford, CT
8050
State College, PA
8120
Stockton, CA
8160
Syracuse, NY
8200
Tacoma, WA
8280
Tampa-St. Petersburg, FL
8320
Terre Haute, IN
8400
Toledo, OH
8480
Trenton, NJ
8520
Tucson, AZ
8560
Tulsa, OK
8600
Tuscaloosa, AL
8640
Tyler, TX
8680
Utica-Rome, NY
8730
Ventura-Oxnard-Simi Valley
8760
Vineland-Millville-Bridgeton, NJ
8780
Visalia-Tulare-Porterville, CA
8800
Waco, TX
8840
Washington, DC/MD/VA
8880
Waterbury, CT
8920
Waterloo-Cedar Falls, IA
8940
Wausau, WI
8960
West Palm Beach-Boca Raton -Delray Beach, FL
9040
Wichita, KS
9080
Wichita Falls, TX
9140
Williamsport, PA
9160
Wilmington, DE
9200
Wilmington, NC
9240
Worcester, MA
9260
Yakima, WA
9280
York, PA
9320
Youngstown, OH/PA
9340
Yuba City, CA
9360
Yuma, AZ
This variable indicates in which metropolitan area, if any, the respondent lived 5 years ago, if the size of the metropolitan area was large enough to be identified by name under confidentiality requirements.
Migration Variables -- PERSON
IPUMS
City of residence 5 years ago
City of residence 5 years ago
City of residence 5 years ago
City of residence 5 years ago
City of residence 5 years ago
(3) Name of city or town in the U.S. ____
[If the person lived in Louisiana, print the parish name. If the person lived in Alaska, print the borough name. If the person lived in New York city and the county name is not known, print the borough name. If the person lived in an independent city (not in any county) or in Washington, D.C. leave blank and enter the city name in part (3).]
Persons age 5+ who lived in a different house in the US 5 years ago, and lived in an identifiable city
Not in identifiable city (or size group) and NIU
50
Albany, NY
90
Alexandria, VA
210
Anchorage, AK
270
Ann Arbor, MI
290
Arlington, TX
310
Arlington, VA
450
Aurora, CO
490
Austin, TX
510
Bakersfield, CA
530
Baltimore, MD
590
Baton Rouge, LA
670
Beaumont, TX
810
Boston, MA
830
Bridgeport, CT
890
Buffalo, NY
1110
Chattanooga, TN
1150
Chesapeake, VA
1190
Chicago, IL
1250
Chula Vista, CA
1330
Cleveland, OH
1390
Colorado Springs, CO
1710
Denver, CO
1730
Des Moines, IA
1750
Detroit, MI
1910
East Los Angeles, CA
1990
El Monte, CA
2050
Elizabeth, NJ
2110
Escondido, CA
2130
Eugene, OR
2270
Flint, MI
2290
Fort Lauderdale, FL
2330
Fort Wayne, IN
2350
Fort Worth, TX
2370
Fresno, CA
2430
Garden Grove, CA
2450
Garland, TX
2470
Gary, IN
2490
Glendale, CA
2530
Grand Rapids, MI
2570
Greensboro, NC
2650
Hampton, VA
2710
Hartford, CT
2770
Hialeah, FL
2830
Hollywood, FL
3010
Inglewood, CA
3030
Irving, TX
3090
Jackson, MS
3150
Jersey City, NJ
3330
Knoxville, TN
3410
Lakewood, CO
3470
Lansing, MI
3590
Lexington-Fayette, KY
3670
Livonia, MI
3690
Long Beach, CA
3730
Los Angeles, CA
3750
Louisville, KY
3770
Lowell, MA
4010
Memphis, TN
4070
Mesquite, TX
4090
Metairie, LA
4150
Minneapolis, MN
4170
Mobile, AL
4190
Modesto, CA
4250
Montgomery, AL
4270
Moreno Valley, CA
4530
New Haven, CT
4570
New Orleans, LA
4610
New York, NY
4630
Newark, NJ
4750
Newport News, VA
4810
Norfolk, VA
4950
Oceanside, CA
4990
Oklahoma City, OK
5030
Ontario, CA
5070
Orlando, FL
5150
Pasadena, CA
5170
Pasadena, TX
5210
Paterson, NJ
5270
Peoria, IL
5330
Philadelphia, PA
5450
Pomona, CA
5530
Portland, OR
5590
Portsmouth, VA
5650
Providence, RI
5770
Rancho Cucamonga, CA
5810
Reno, NV
5870
Richmond, VA
5930
Rochester, NY
5970
Rockford, IL
6030
Sacramento, CA
6090
Saint Louis, MO
6110
Saint Paul, MN
6170
Salem, OR
6190
Salinas, CA
6230
San Antonio, TX
6270
San Diego, CA
6290
San Francisco, CA
6310
San Jose, CA
6330
Santa Ana, CA
6350
Santa Rosa, CA
6430
Seattle, WA
6490
Shreveport, LA
6590
South Bend, IN
6630
Spokane, WA
6670
Springfield, MA
6730
Stamford, CT
6750
Sterling Heights, MI
6850
Syracuse, NY
6890
Tampa, FL
7070
Tulsa, OK
7130
Virginia Beach, VA
7230
Washington, DC
7250
Waterbury, CT
7530
Winston-Salem, NC
7570
Worcester, MA
7590
Yonkers, NY
This variable indicates the city where the respondent resided 5 years ago, if that city could be identified under the confidentiality requirements of a given sample.
Migration Variables -- PERSON
IPUMS
PUMA of residence 5 years ago
PUMA of residence 5 years ago
PUMA of residence 5 years ago
PUMA of residence 5 years ago
PUMA of residence 5 years ago
PUMA of residence 5 years ago
Persons age 5+ who lived in different house 5 years ago
NIU (not in universe)
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
999
999
This variable indicates the location where the respondent lived five years ago, in terms of the Public Use Microdata Area of 100,000+ residents, defined by the Census Bureau
Migration Variables -- PERSON
IPUMS
Occupant moved into residence
Occupant moved into residence
Occupant moved into residence
Occupant moved into residence
Occupant moved into residence
Occupant moved into residence
Head of the household in private, occupied and vacant dwellings
NIU (not in universe)
1
This year or last year
2
2 years ago
5
3 -10
6
11-20
7
21-30
8
31+
This variable indicates the number of years ago that the householder moved into the dwelling unit.
Migration Variables -- PERSON
IPUMS
Place of work: state
Place of work: state
Place of work: state
Place of work: state
Place of work: state
22. At what location did this person work last week?
If this person worked at more than one location, print where he or she worked most last week.
22a. Address (Number and street)
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
[Include the street type (for example, St., Road, Ave.) and the street direction (if a direction such as "North" is part of the address). For example, print 1239 N. Main St. or 1239 Main St., N.W. not just 1239 Main. If the only known address is a post office box, give a description of the work location. For example, print the name of the building or shopping center where the person works, the nearest intersection, the nearest street where the workplace is located, etc. Do not give a post office box number. If the person worked at a military installation or military base that has no street address, report the name of the military installation or base. If the person worked at several locations, but reported to the same location each day to begin work, print the address of the location here he or she reported. If the person did not report to the same location each day to begin work, print the address of the location where he or she worked most last week. If the person's employer operates in more than one location (such as a grocery store chain or public school system), print the exact address of the location or branch where the person worked. If the exact address of a school is not known, print the name of the school. If the person worked on a college or university campus and the exact address of the workplace is not known, print the name of the building where he or she worked.]
22b. Name of city, town, or post office
___
22c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ 22d. County
____ 22e. State
____ 22f. ZIP code
[If the person worked in New York city and the county is not known, print the name of the borough where the person worked. If the person worked in Louisiana, print the name of the parish where the person worked. If the person worked in Alaska, print the name of the borough where the person worked. If the person worked in a foreign country or Puerto Rico, Guam, etc., print the name of the country in 22e and leave the other parts of question 22 blank.]
Persons age 16+ who worked last week
NIU (not in universe)
1
Alabama
2
Alaska
4
Arizona
5
Arkansas
6
California
8
Colorado
9
Connecticut
10
Delaware
11
District of Columbia
12
Florida
13
Georgia
15
Hawaii
16
Idaho
17
Illinois
18
Indiana
19
Iowa
20
Kansas
21
Kentucky
22
Louisiana
23
Maine
24
Maryland
25
Massachusetts
26
Michigan
27
Minnesota
28
Mississippi
29
Missouri
30
Montana
31
Nebraska
32
Nevada
33
New Hampshire
34
New Jersey
35
New Mexico
36
New York
37
North Carolina
38
North Dakota
39
Ohio
40
Oklahoma
41
Oregon
42
Pennsylvania
44
Rhode island
45
South Carolina
46
South Dakota
47
Tennessee
48
Texas
49
Utah
50
Vermont
51
Virginia
53
Washington
54
West Virginia
55
Wisconsin
56
Wyoming
80
Abroad
This variable indicates the state in which the respondent's primary workplace was located.
Work Variables -- PERSON
IPUMS
Place of work PUMA
Place of work PUMA
Place of work PUMA
Place of work PUMA
Place of work PUMA
22. At what location did this person work last week?
If this person worked at more than one location, print where he or she worked most last week.
22a. Address (Number and street)
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
[Include the street type (for example, St., Road, Ave.) and the street direction (if a direction such as "North" is part of the address). For example, print 1239 N. Main St. or 1239 Main St., N.W. not just 1239 Main. If the only known address is a post office box, give a description of the work location. For example, print the name of the building or shopping center where the person works, the nearest intersection, the nearest street where the workplace is located, etc. Do not give a post office box number. If the person worked at a military installation or military base that has no street address, report the name of the military installation or base. If the person worked at several locations, but reported to the same location each day to begin work, print the address of the location here he or she reported. If the person did not report to the same location each day to begin work, print the address of the location where he or she worked most last week. If the person's employer operates in more than one location (such as a grocery store chain or public school system), print the exact address of the location or branch where the person worked. If the exact address of a school is not known, print the name of the school. If the person worked on a college or university campus and the exact address of the workplace is not known, print the name of the building where he or she worked.]
22b. Name of city, town, or post office
___
22c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ 22d. County
____ 22e. State
____ 22f. ZIP code
[If the person worked in New York city and the county is not known, print the name of the borough where the person worked. If the person worked in Louisiana, print the name of the parish where the person worked. If the person worked in Alaska, print the name of the borough where the person worked. If the person worked in a foreign country or Puerto Rico, Guam, etc., print the name of the country in 22e and leave the other parts of question 22 blank.]
Persons age 16+ who worked last week
NIU (not in universe)
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
999
999
This variable indicates the location of the respondent's primary workplace, in terms of the Public Use Microdata Area, a Census Bureau-defined area of 100,000+ residents.
Work Variables -- PERSON
IPUMS
Work disability
Work disability
Work disability
Work disability
Work disability
18. Does this person have a physical, mental, or other health condition that has lasted for 6 or more months and which --
18a. Limits the kind or amount of work this person can do at a job?
[] Yes
[] No
[Mark yes to part (a) if a health condition substantially limits this person in his or her choice of occupation or if the condition limits the amount of work that can be accomplished in a given period of time.]
18b. Prevents this person from working at a job?
[] Yes
[] No
[Mark yes to part (b) if the health condition prevents this person from holding any significant employment.]
Persons age 16+
NIU (not in universe)
1
No disability that affects work
2
Disability limits but does not prevent work
3
Disability prevents work
This variable indicates whether respondents have any lasting physical or mental health condition that causes difficulty working, limits the amount or type of work they can do, or prevents them from working altogether.
Disability Variables -- PERSON
IPUMS
Disability limiting mobility
Disability limiting mobility
Disability limiting mobility
Disability limiting mobility
Disability limiting mobility
19. Because of a health condition that has lasted for 6 or more months, does this person have any difficulty --
[Consider a person to have difficulty with these activities if any of the following situations apply: (1) it takes extra time or extra effort for the person to perform one or more of the activities, (2) there are times when the person cannot perform one or more of the activities, or (3) the person is completely unable to perform one more of the activities.]
19a. Going outside the home alone, for example, to a shop or visit a doctor's office?
[] Yes
[] No
Persons age 15+
NIU (not in universe)
1
No mobility limitation
2
Yes, mobility is limited
This variable indicates whether the respondent has any physical or mental health condition that has lasted 6 or more months and that makes it difficult or impossible to go outside the home alone.
Disability Variables -- PERSON
IPUMS
Personal care limitation
Personal care limitation
Personal care limitation
Personal care limitation
Personal care limitation
19. Because of a health condition that has lasted for 6 or more months, does this person have any difficulty --
[Consider a person to have difficulty with these activities if any of the following situations apply: (1) it takes extra time or extra effort for the person to perform one or more of the activities, (2) there are times when the person cannot perform one or more of the activities, or (3) the person is completely unable to perform one more of the activities.]
19b. Taking care of his or her own personal needs, such as bathing, dressing, or getting around inside the home?
[] Yes
[] No
Persons age 15+
NIU (not in universe)
1
No personal care limitation
2
Yes, personal care limitation
This variable indicates whether respondents have any physical or mental health condition that has lasted at least 6 months and makes it difficult for them to take care of their own personal needs, such as bathing, dressing, or getting around inside the home.
Disability Variables -- PERSON
IPUMS
Veteran status
Veteran status
Veteran status
Veteran status
Veteran status
17a. Has this person ever been on active-duty military service in the Armed Forces of the United States or ever been in the United States military Reserves or the National Guard?
If service was in Reserves or National Guard only, see instruction guide.
[] Yes, now on active duty
[] Yes, on active duty in past, but not now
[] Yes, service in Reserves or National Guard only -- Go to 18
[] No -- Go to 18
[For a person with service in the National Guard or a military reserve unit, fill one of the two yes, active duty circles if and only if the person has ever been called up for active duty other than training; otherwise, mark yes, service in Reserves or National Guard only. For a person whose only service was as a civilian employee or volunteer for the Red Cross, USO, Public Health Service, or War or Defense Department, mark no. Count World War II Merchant Marine Seaman service as active duty; do not count other Merchant Marine service as active duty.]
Persons age 16+
NIU (not in universe)
1
No Service
2
Yes
This variable indicates whether individuals served in the military forces of the United States in time of war or peace.
Other Person Variables -- PERSON
IPUMS
Veteran, served September 1980 to July 1990
Veteran, served September 1980 to July 1990
Veteran, served September 1980 to July 1990
Veteran, served September 1980 to July 1990
Veteran, served September 1980 to July 1990
17b. Was active-duty military service during --
Fill a circle for each period in which this person served.
[] September 1980 or later
[] May 1975 to August 1980
[] Vietnam era (August 1964 - April 1975)
[] February 1955 - July 1964
[] Korean conflict (June 1950 - January 1955)
[] World War II (September 1940 - July 1947)
[] World War I (April 1917 - November 1918)
[] Any other time
All persons
No or N/A
1
Yes, served this period
This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States between September, 1980 and July, 1990.
Other Person Variables -- PERSON
IPUMS
Veteran, served May 1975 to August 1980
Veteran, served May 1975 to August 1980
Veteran, served May 1975 to August 1980
Veteran, served May 1975 to August 1980
Veteran, served May 1975 to August 1980
17b. Was active-duty military service during --
Fill a circle for each period in which this person served.
[] September 1980 or later
[] May 1975 to August 1980
[] Vietnam era (August 1964 - April 1975)
[] February 1955 - July 1964
[] Korean conflict (June 1950 - January 1955)
[] World War II (September 1940 - July 1947)
[] World War I (April 1917 - November 1918)
[] Any other time
All persons
No or N/A
1
Yes, served this period
This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States between May, 1975 and August, 1980.
Other Person Variables -- PERSON
IPUMS
Veteran, served during Vietnam era (August 1964 to April 1975 )
Veteran, served during Vietnam era (August 1964 to April 1975 )
Veteran, served during Vietnam era (August 1964 to April 1975 )
Veteran, served during Vietnam era (August 1964 to April 1975 )
Veteran, served during Vietnam era (August 1964 to April 1975 )
17b. Was active-duty military service during --
Fill a circle for each period in which this person served.
[] September 1980 or later
[] May 1975 to August 1980
[] Vietnam era (August 1964 - April 1975)
[] February 1955 - July 1964
[] Korean conflict (June 1950 - January 1955)
[] World War II (September 1940 - July 1947)
[] World War I (April 1917 - November 1918)
[] Any other time
All persons
N/A or No
1
Yes, Vietnam-era veteran
This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States during the Vietnam era.
Other Person Variables -- PERSON
IPUMS
Years of active-duty military service
Years of active-duty military service
Years of active-duty military service
Years of active-duty military service
Years of active-duty military service
17b. Was active-duty military service during --
Fill a circle for each period in which this person served.
[] September 1980 or later
[] May 1975 to August 1980
[] Vietnam era (August 1964 - April 1975)
[] February 1955 - July 1964
[] Korean conflict (June 1950 - January 1955)
[] World War II (September 1940 - July 1947)
[] World War I (April 1917 - November 1918)
[] Any other time
Persons age 16+, currently or formerly in the armed forces
NIU (not in universe)
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
This variable indicates the total years of active duty military service for veterans and those currently on active duty.
Other Person Variables -- PERSON
IPUMS
Veteran, served February 1955 to July 1964
Veteran, served February 1955 to July 1964
Veteran, served February 1955 to July 1964
Veteran, served February 1955 to July 1964
Veteran, served February 1955 to July 1964
17b. Was active-duty military service during --
Fill a circle for each period in which this person served.
[] September 1980 or later
[] May 1975 to August 1980
[] Vietnam era (August 1964 - April 1975)
[] February 1955 - July 1964
[] Korean conflict (June 1950 - January 1955)
[] World War II (September 1940 - July 1947)
[] World War I (April 1917 - November 1918)
[] Any other time
All persons
No
1
Yes, served this period
This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States between February, 1955 and July, 1964.
Other Person Variables -- PERSON
IPUMS
Veteran, served during Korean conflict era (June 1950 to January 1955 )
Veteran, served during Korean conflict era (June 1950 to January 1955 )
Veteran, served during Korean conflict era (June 1950 to January 1955 )
Veteran, served during Korean conflict era (June 1950 to January 1955 )
Veteran, served during Korean conflict era (June 1950 to January 1955 )
17b. Was active-duty military service during --
Fill a circle for each period in which this person served.
[] September 1980 or later
[] May 1975 to August 1980
[] Vietnam era (August 1964 - April 1975)
[] February 1955 - July 1964
[] Korean conflict (June 1950 - January 1955)
[] World War II (September 1940 - July 1947)
[] World War I (April 1917 - November 1918)
[] Any other time
All persons
No
1
Yes, served this period
This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States during the Korean conflict era.
Other Person Variables -- PERSON
IPUMS
Veteran, served during World War II era (September 1940 to July 1947 )
Veteran, served during World War II era (September 1940 to July 1947 )
Veteran, served during World War II era (September 1940 to July 1947 )
Veteran, served during World War II era (September 1940 to July 1947 )
Veteran, served during World War II era (September 1940 to July 1947 )
17b. Was active-duty military service during --
Fill a circle for each period in which this person served.
[] September 1980 or later
[] May 1975 to August 1980
[] Vietnam era (August 1964 - April 1975)
[] February 1955 - July 1964
[] Korean conflict (June 1950 - January 1955)
[] World War II (September 1940 - July 1947)
[] World War I (April 1917 - November 1918)
[] Any other time
All persons
No
1
Yes, served this period
This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States during the World War II era
Other Person Variables -- PERSON
IPUMS
Veteran of other period
Veteran of other period
Veteran of other period
Veteran of other period
Veteran of other period
17b. Was active-duty military service during --
Fill a circle for each period in which this person served.
[] September 1980 or later
[] May 1975 to August 1980
[] Vietnam era (August 1964 - April 1975)
[] February 1955 - July 1964
[] Korean conflict (June 1950 - January 1955)
[] World War II (September 1940 - July 1947)
[] World War I (April 1917 - November 1918)
[] Any other time
All persons
No
1
Yes, served this period(s)
This variable indicates whether persons were engaged in active-duty military service in the armed forces of the United States during periods of service not identified in other variables.
Other Person Variables -- PERSON
IPUMS
Means oftransportation to work
Means oftransportation to work
Means oftransportation to work
Means oftransportation to work
Means oftransportation to work
23a. How did this person usually get to work last week? If this person usually used more than one method of transportation during the trip, fill the circle of the one used for most of the distance.
[] Car, truck, or van
[] Bus or trolley bus
[] Streetcar or trolley car
[] Subway or elevated
[] Railroad
[] Ferryboat
[] Motorcycle
[] Bicycle
[] Walked
[] Worked at home -- Skip to 28
[] other method
[] Taxicab
Persons age 16+ who worked last week
NIU (not in universe)
1
Auto, truck, or van
2
Motorcycle
3
Bus or trolley bus
4
Streetcar or trolley car
5
Subway or elevated
6
Railroad
7
Taxicab
8
Ferryboat
9
Bicycle
10
Walked only
11
Other
12
Worked at home
This variable indicates the respondent's primary means of transportation to work on the most recent day worked, or over the course of the previous week
Other Person Variables -- PERSON
IPUMS
Carpooling
Carpooling
Carpooling
Carpooling
Carpooling
23b. How many people, including this person, usually rode to work in the car, truck, or van last week?
[] Drove alone
[] 2 people
[] 3 people
[] 4 people
[] 5 people
[] 6 people
[] 7 to 9 people
[] 10 or more people
[If the person was driven to work by someone who then drove back home or to a non-work destination, fill the circle for drove alone. Do not include persons who rode to school or some other non-work destination in the count of persons who rode in the vehicle.]
Persons age 16+ who worked last week and used their own car
NIU (not in universe)
1
Drives alone
2
Carpools
This variable indicates whether the respondent usually rode to work in a carpool (with at least one other worker) during the previous week.
Other Person Variables -- PERSON
IPUMS
Vehicle occupancy
Vehicle occupancy
Vehicle occupancy
Vehicle occupancy
Vehicle occupancy
23b. How many people, including this person, usually rode to work in the car, truck, or van last week?
[] Drove alone
[] 2 people
[] 3 people
[] 4 people
[] 5 people
[] 6 people
[] 7 to 9 people
[] 10 or more people
[If the person was driven to work by someone who then drove back home or to a non-work destination, fill the circle for drove alone. Do not include persons who rode to school or some other non-work destination in the count of persons who rode in the vehicle.]
Persons age 16+ who worked last week and used their own car
NIU (not in universe)
1
Drives alone
2
2 people
3
3
4
4
5
5
6
6
8
7-9
9
10 +
This variable indicates how many people (including the respondent) usually rode to work in the vehicle that the respondent took to work during the previous week.
Other Person Variables -- PERSON
IPUMS
Travel time to work
Travel time to work
Travel time to work
Travel time to work
Travel time to work
24a. What time did this person usually leave home to go to work last week?
____
[] a.m.
[] p.m.
[Give the time of day the person usually left home to go to work. Do not give the time that the person usually began his or her work. If the person usually left home to go to work sometime between 12:00 o'clock midnight and 12:00 o'clock noon, fill the a.m. circle. If the person usually left home to go to work sometime between 12:00 o'clock noon and 12:00 o'clock midnight, fill the p.m. circle.]
Persons age 16+ who worked outside the home last week
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99 or more
This variable indicates the total amount of time, in minutes, that it usually took the respondent to get from home to work last week.
Other Person Variables -- PERSON
IPUMS
Time of departure for work
Time of departure for work
Time of departure for work
Time of departure for work
Time of departure for work
24b. How many minutes did it usually take this person to get from home to work last week?
____ Minutes -- Skip to 28
[Travel time is from door to door. Include time taken waiting for public transportation or picking up passengers in a car pool.]
Persons age 16+ who worked outside the home last week
This variable indicates the time that the respondent usually left home for work last week.
Other Person Variables -- PERSON
IPUMS
Place of work metropolitan area
Place of work metropolitan area
Place of work metropolitan area
Place of work metropolitan area
Place of work metropolitan area
22. At what location did this person work last week?
If this person worked at more than one location, print where he or she worked most last week.
22a. Address (Number and street)
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
[Include the street type (for example, St., Road, Ave.) and the street direction (if a direction such as "North" is part of the address). For example, print 1239 N. Main St. or 1239 Main St., N.W. not just 1239 Main. If the only known address is a post office box, give a description of the work location. For example, print the name of the building or shopping center where the person works, the nearest intersection, the nearest street where the workplace is located, etc. Do not give a post office box number. If the person worked at a military installation or military base that has no street address, report the name of the military installation or base. If the person worked at several locations, but reported to the same location each day to begin work, print the address of the location here he or she reported. If the person did not report to the same location each day to begin work, print the address of the location where he or she worked most last week. If the person's employer operates in more than one location (such as a grocery store chain or public school system), print the exact address of the location or branch where the person worked. If the exact address of a school is not known, print the name of the school. If the person worked on a college or university campus and the exact address of the workplace is not known, print the name of the building where he or she worked.]
22b. Name of city, town, or post office
___
22c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ 22d. County
____ 22e. State
____ 22f. ZIP code
[If the person worked in New York city and the county is not known, print the name of the borough where the person worked. If the person worked in Louisiana, print the name of the parish where the person worked. If the person worked in Alaska, print the name of the borough where the person worked. If the person worked in a foreign country or Puerto Rico, Guam, etc., print the name of the country in 22e and leave the other parts of question 22 blank.]
Persons age 16+ who worked last week and resided in identifiable metropolitan areas
N/A or not identifiable
40
Abilene, TX
80
Akron, OH
160
Albany-Schenectady-Troy, NY
200
Albuquerque, NM
220
Alexandria, LA
240
Allentown-Bethlehem-Easton, PA/NJ
280
Altoona, PA
320
Amarillo, TX
380
Anchorage, AK
400
Anderson, IN
440
Ann Arbor, MI
450
Anniston, AL
460
Appleton-Oskosh-Neenah, WI
480
Asheville, NC
520
Atlanta, GA
560
Atlantic City, NJ
600
Augusta-Aiken, GA-SC
640
Austin, TX
680
Bakersfield, CA
720
Baltimore, MD
760
Baton Rouge, LA
780
Battle Creek, MI
840
Beaumont-Port Arthur-Orange, TX
860
Bellingham, WA
870
Benton Harbor, MI
880
Billings, MT
920
Biloxi-Gulfport, MS
960
Binghamton, NY
1000
Birmingham, AL
1020
Bloomington, IN
1040
Bloomington-Normal, IL
1080
Boise City, ID
1120
Boston, MA
1121
Lawrence-Haverhill, MA/NH
1122
Lowell, MA/NH
1123
Salem-Gloucester, MA
1140
Bradenton, FL
1150
Bremerton, WA
1160
Bridgeport, CT
1200
Brockton, MA
1240
Brownsville - Harlingen-San Benito, TX
1260
Bryan-College Station, TX
1280
Buffalo-Niagara Falls, NY
1281
Niagara Falls, NY
1300
Burlington, NC
1320
Canton, OH
1360
Cedar Rapids, IA
1400
Champaign-Urbana-Rantoul, IL
1440
Charleston-N.Charleston,SC
1520
Charlotte-Gastonia-Rock Hill, SC
1560
Chattanooga, TN/GA
1600
Chicago-Gary-Lake IL
1601
[no label]
1602
Gary-Hammond-East Chicago, IN
1603
[no label]
1604
[no label]
1620
Chico, CA
1640
Cincinnati, OH/KY/IN
1660
Clarksville- Hopkinsville, TN/KY
1680
Cleveland, OH
1720
Colorado Springs, CO
1740
Columbia, MO
1760
Columbia, SC
1840
Columbus, OH
1880
Corpus Christi, TX
1920
Dallas-Fort Worth, TX
1921
Fort Worth-Arlington, TX
1930
Danbury, CT
1950
Danville, VA
1960
Davenport, IA-Rock Island-Moline, IL
2000
Dayton-Springfield, OH
2020
Daytona Beach, FL
2030
Decatur, AL
2040
Decatur, IL
2080
Denver-Boulder-Longmont, CO
2081
Boulder-Longmont, CO
2120
Des Moines, IA
2160
Detroit, MI
2240
Duluth-Superior, MN/WI
2290
Eau Claire, WI
2310
El Paso, TX
2320
Elkhart-Goshen, IN
2360
Erie, PA
2400
Eugene-Springfield, OR
2560
Fayetteville, NC
2580
Fayetteville-Springdale, AR
2640
Flint, MI
2650
Florence, AL
2660
Florence, SC
2670
Fort Collins-Loveland, CO
2680
Fort Lauderdale-Hollywood-Pompano Beach, FL
2700
Fort Myers-Cape Coral, FL
2710
Fort Pierce, FL
2760
Fort Wayne, IN
2840
Fresno, CA
2900
Gainesville, FL
2920
Galveston-Texas City, TX
3000
Grand Rapids, MI
3060
Greeley, CO
3120
Greensboro-Winston Salem-High Point, NC
3160
Greenville-Spartenburg-Anderson, SC
3161
[no label]
3180
Hagerstown, MD
3200
Hamilton-Middleton, OH
3240
Harrisburg-Lebanon-Carlisle, PA
3280
Hartford-Bristol-Middleton-New Britian, CT
3283
[no label]
3290
Hickory-Morgantown, NC
3320
Honolulu, HI
3350
Houma-Thibodoux, LA
3360
Houston-Brazoria, TX
3361
Brazoria, TX
3480
Indianapolis, IN
3520
Jackson, MI
3560
Jackson, MS
3590
Jacksonville, FL
3600
Jacksonville, NC
3610
Jamestown-Dunkirk, NY
3620
Janesville-Beloit, WI
3660
Johnson City-Kingsport-Bristol, TN/VA
3680
Johnstown, PA
3710
Joplin, MO
3720
Kalamazoo-Portage, MI
3760
Kansas City, MO-KS
3800
Kenosha, WI
3810
Killeen-Temple, TX
3840
Knoxville, TN
3880
Lafayette, LA
3920
Lafayette-W. Lafayette,IN
3980
Lakeland-Winterhaven, FL
4000
Lancaster, PA
4040
Lansing-E. Lansing, MI
4100
Las Cruces, NM
4120
Las Vegas, NV
4280
Lexington-Fayette, KY
4320
Lima, OH
4360
Lincoln, NE
4400
Little Rock-North Little Rock, AR
4420
Longview-Marshall, TX
4440
Lorain-Elyria, OH
4480
Los Angeles-Long Beach, CA
4481
[no label]
4520
Louisville, KY/IN
4600
Lubbock, TX
4680
Macon-Warner Robins, GA
4720
Madison, WI
4800
Mansfield, OH
4880
McAllen-Edinburg-Pharr-Mission, TX
4890
Medford, OR
4900
Melbourne-Titusville-Cocoa-Palm Bay, FL
4920
Memphis, TN/AR/MS
4940
Merced, CA
5000
Miami-Hialeah, FL
5040
Midland, TX
5080
Milwaukee, WI
5120
Minneapolis-St. Paul, MN
5160
Mobile, AL
5170
Modesto, CA
5190
Monmouth-Ocean, NJ
5200
Monroe, LA
5240
Montgomery, AL
5280
Muncie, IN
5360
Nashville, TN
5400
New Bedford, MA
5480
New Haven-Meriden, CT
5520
New London-Norwich, CT/RI
5560
New Orleans, LA
5600
New York-Northeastern NJ
5601
Nassau-Suffolk, NY
5602
Bergen-Passaic, NJ
5603
Jersey City, NJ
5604
Middlesex-Somerset-Hunterdon, NJ
5605
Newark, NJ
5720
Norfolk-VA Beach-Newport News, VA
5790
Ocala, FL
5800
Odessa, TX
5880
Oklahoma City, OK
5910
Olympia, WA
5920
Omaha, NE/IA
5950
Orange County, NY
5960
Orlando, FL
6030
Pascagoula-Moss Point, MS
6080
Pensacola, FL
6120
Peoria, IL
6160
Philadelphia, PA/NJ
6200
Phoenix, AZ
6280
Pittsburgh-Beaver Valley, PA
6440
Portland-Vancouver, OR
6441
[no label]
6480
Providence-Fall River-Pawtuckett, MA
6481
[no label]
6482
[no label]
6520
Provo-Orem, UT
6560
Pueblo, CO
6600
Racine, WI
6640
Raleigh-Durham, NC
6680
Reading, PA
6690
Redding, CA
6720
Reno, NV
6740
Richland-Kennewick-Pasco, WA
6760
Richmond-Petersburg, VA
6780
Riverside-San Bernadino,CA
6800
Roanoke, VA
6820
Rochester, MN
6840
Rochester, NY
6880
Rockford, IL
6920
Sacramento, CA
6960
Saginaw-Bay City-Midland, MI
6980
St. Cloud, MN
7040
St. Louis, MO
7080
Salem, OR
7120
Salinas-Sea Side-Monterey, CA
7160
Salt Lake City-Ogden, UT
7240
San Antonio, TX
7320
San Diego, CA
7360
San Francisco-Oakland-Vallejo, CA
7361
Oakland, CA
7362
Vallejo-Fairfield-Napa, CA
7400
San Jose, CA
7470
Santa Barbara-Santa Maria-Lompoc, CA
7480
Santa Cruz, CA
7490
Santa Fe, NM
7500
Santa Rosa-Petaluma, CA
7510
Sarasota, FL
7520
Savannah, GA
7560
Scranton-Wilkes-Barre, PA
7600
Seattle-Everett, WA
7610
Sharon, PA
7680
Shreveport, LA
7800
South Bend-Mishawaka, IN
7840
Spokane, WA
7880
Springfield, IL
7920
Springfield, MO
8000
Springfield-Holyoke-Chicopee, MA
8040
Stamford, CT
8050
State College, PA
8120
Stockton, CA
8160
Syracuse, NY
8200
Tacoma, WA
8280
Tampa-St. Petersburg-Clearwater, FL
8320
Terre Haute, IN
8400
Toledo, OH/MI
8480
Trenton, NJ
8520
Tucson, AZ
8560
Tulsa, OK
8600
Tuscaloosa, AL
8640
Tyler, TX
8680
Utica-Rome, NY
8730
Ventura-Oxnard-Simi Valley
8760
Vineland-Milville-Bridgetown, NJ
8780
[no label]
8800
Waco, TX
8840
Washington, DC/MD/VA
8880
Waterbury, CT
8920
Waterloo-Cedar Falls, IA
8940
Wausau, WI
8960
West Palm Beach-Boca Raton -Delray Beach, FL
9040
Wichita, KS
9080
Wichita Falls, TX
9140
Williamsport, PA
9160
Wilmington, DE/NJ/MD
9200
Wilmington, NC
9240
Worcester, MA
9260
Yakima, WA
9280
York, PA
9320
Youngstown-Warren, OH-PA
9340
Yuba City, CA
9360
Yuma, AZ
This variable indicates the metropolitan area in which the respondent worked, if the respondent's workplace was in an identifiable metropolitan area, given confidentiality restrictions.
Work Variables -- PERSON
IPUMS
Place of work city
Place of work city
Place of work city
Place of work city
Place of work city
22. At what location did this person work last week?
If this person worked at more than one location, print where he or she worked most last week.
22a. Address (Number and street)
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
[Include the street type (for example, St., Road, Ave.) and the street direction (if a direction such as "North" is part of the address). For example, print 1239 N. Main St. or 1239 Main St., N.W. not just 1239 Main. If the only known address is a post office box, give a description of the work location. For example, print the name of the building or shopping center where the person works, the nearest intersection, the nearest street where the workplace is located, etc. Do not give a post office box number. If the person worked at a military installation or military base that has no street address, report the name of the military installation or base. If the person worked at several locations, but reported to the same location each day to begin work, print the address of the location here he or she reported. If the person did not report to the same location each day to begin work, print the address of the location where he or she worked most last week. If the person's employer operates in more than one location (such as a grocery store chain or public school system), print the exact address of the location or branch where the person worked. If the exact address of a school is not known, print the name of the school. If the person worked on a college or university campus and the exact address of the workplace is not known, print the name of the building where he or she worked.]
22b. Name of city, town, or post office
___
22c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ 22d. County
____ 22e. State
____ 22f. ZIP code
[If the person worked in New York city and the county is not known, print the name of the borough where the person worked. If the person worked in Louisiana, print the name of the parish where the person worked. If the person worked in Alaska, print the name of the borough where the person worked. If the person worked in a foreign country or Puerto Rico, Guam, etc., print the name of the country in 22e and leave the other parts of question 22 blank.]
Persons age 16+ who worked last week and resided in identifiable cities
Same house (migcity)
50
Albany, NY
90
Alexandria, VA
210
Anchorage, AK
270
Ann Arbor, MI
290
Arlington, TX
310
Arlington, VA
450
Aurora, CO
490
Austin, TX
510
Bakersfield, CA
530
Baltimore, MD
590
Baton Rouge, LA
670
Beaumont, TX
810
Boston, MA
830
Bridgeport, CT
890
Buffalo, NY
1110
Chattanooga, TN
1150
Chesapeake, VA
1190
Chicago, IL
1250
Chula Vista, CA
1330
Cleveland, OH
1390
Colorado Springs, CO
1710
Denver, CO
1730
Des Moines, IA
1750
Detroit, MI
1910
East Los Angeles, CA
1990
El Monte, CA
2050
Elizabeth, NJ
2110
Escondido, CA
2130
Eugene, OR
2270
Flint, MI
2290
Fort Lauderdale, FL
2330
Fort Wayne, IN
2350
Fort Worth, TX
2370
Fresno, CA
2430
Garden Grove, CA
2450
Garland, TX
2470
Gary, IN
2490
Glendale, CA
2530
Grand Rapids, MI
2570
Greensboro, NC
2650
Hampton, VA
2710
Hartford, CT
2770
Hialeah, FL
2830
Hollywood, FL
3010
Inglewood, CA
3030
Irving, TX
3090
Jackson, MS
3150
Jersey City, NJ
3330
Knoxville, TN
3410
Lakewood, CO
3470
Lansing, MI
3590
Lexington-Fayette, KY
3670
Livonia, MI
3690
Long Beach, CA
3730
Los Angeles, CA
3750
Louisville, KY
3770
Lowell, MA
4010
Memphis, TN
4070
Mesquite, TX
4090
Metairie, LA
4150
Minneapolis, MN
4170
Mobile, AL
4190
Modesto, CA
4250
Montgomery, AL
4270
Moreno Valley, CA
4530
New Haven, CT
4570
New Orleans, LA
4610
New York, NY
4630
Newark, NJ
4750
Newport News, VA
4810
Norfolk, VA
4950
Oceanside, CA
4990
Oklahoma City, OK
5030
Ontario, CA
5070
Orlando, FL
5150
Pasadena, CA
5170
Pasadena, TX
5210
Paterson, NJ
5270
Peoria, IL
5330
Philadelphia, PA
5450
Pomona, CA
5530
Portland, OR
5590
Portsmouth, VA
5650
Providence, RI
5770
Rancho Cucamonga, CA
5810
Reno, NV
5870
Richmond, VA
5930
Rochester, NY
5970
Rockford, IL
6030
Sacramento, CA
6090
Saint Louis, MO
6110
Saint Paul, MN
6170
Salem, OR
6190
Salinas, CA
6230
San Antonio, TX
6270
San Diego, CA
6290
San Francisco, CA
6310
San Jose, CA
6330
Santa Ana, CA
6350
Santa Rosa, CA
6430
Seattle, WA
6490
Shreveport, LA
6590
South Bend, IN
6630
Spokane, WA
6670
Springfield, MA
6730
Stamford, CT
6750
Sterling Heights, MI
6850
Syracuse, NY
6890
Tampa, FL
7070
Tulsa, OK
7130
Virginia Beach, VA
7230
Washington, DC
7250
Waterbury, CT
7530
Winston-Salem, NC
7570
Worcester, MA
7590
Yonkers, NY
This variable indicates in which metropolitan area, if any, the person worked in the week prior to the census.
Work Variables -- PERSON
IPUMS
Flag for augmented person
Flag for augmented person
Flag for augmented person
Flag for augmented person
Flag for augmented person
Flag for augmented person
All persons
Not augmented
1
Augmented
This variable is a data quality flag for all person.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for age
Flag for age
Flag for age
Flag for age
Flag for age
Flag for age
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for AGE.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for ancestry, first response
Flag for ancestry, first response
Flag for ancestry, first response
Flag for ancestry, first response
Flag for ancestry, first response
Flag for ancestry, first response
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for ANCESTR1 (Ancestry).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for ancestry, second response
Flag for ancestry, second response
Flag for ancestry, second response
Flag for ancestry, second response
Flag for ancestry, second response
Flag for ancestry, second response
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for ANCESTR2 (Second Ancestry).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for time of departure for work
Flag for time of departure for work
Flag for time of departure for work
Flag for time of departure for work
Flag for time of departure for work
Flag for time of departure for work
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for DEPARTS (Time of departure for work).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for birthplace
Flag for birthplace
Flag for birthplace
Flag for birthplace
Flag for birthplace
Flag for birthplace
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for BPL (Birthplace).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for carpooling
Flag for carpooling
Flag for carpooling
Flag for carpooling
Flag for carpooling
Flag for carpooling
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for CARPOOL (Carpooling).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for children ever born
Flag for children ever born
Flag for children ever born
Flag for children ever born
Flag for children ever born
Flag for children ever born
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for CHBORN (Children ever born).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for citizenship status
Flag for citizenship status
Flag for citizenship status
Flag for citizenship status
Flag for citizenship status
Flag for citizenship status
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for CITIZEN (Citizenship).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for class of worker
Flag for class of worker
Flag for class of worker
Flag for class of worker
Flag for class of worker
Flag for class of worker
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for CLASSWKR (Class of Worker).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for language spoken
Flag for language spoken
Flag for language spoken
Flag for language spoken
Flag for language spoken
Flag for language spoken
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for LANGUAGE (Language spoken).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for work disability
Flag for work disability
Flag for work disability
Flag for work disability
Flag for work disability
Flag for work disability
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for DISABWK (Disability limiting and/or preventing work).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for employment status and labor force status
Flag for employment status and labor force status
Flag for employment status and labor force status
Flag for employment status and labor force status
Flag for employment status and labor force status
Flag for employment status and labor force status
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for EMPSTAT (Employment Status ).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for educational attainment
Flag for educational attainment
Flag for educational attainment
Flag for educational attainment
Flag for educational attainment
Flag for educational attainment
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for EDUCREC (Educational attainment).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for hispanic origin
Flag for hispanic origin
Flag for hispanic origin
Flag for hispanic origin
Flag for hispanic origin
Flag for hispanic origin
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for HISPAN (Detailed Hispanic origin code).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for hours worked last week
Flag for hours worked last week
Flag for hours worked last week
Flag for hours worked last week
Flag for hours worked last week
Flag for hours worked last week
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for HRSWORK1 (Hours Worked-categorized).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for non-farm business, total, and total earned income
Flag for non-farm business, total, and total earned income
Flag for non-farm business, total, and total earned income
Flag for non-farm business, total, and total earned income
Flag for non-farm business, total, and total earned income
Flag for non-farm business, total, and total earned income
All persons
Unaltered case
1
Not allocated, derived
2
Allocated
This variable is a data quality flag for INCBUS (Non-farm business income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for farm, total, and total earned income
Flag for farm, total, and total earned income
Flag for farm, total, and total earned income
Flag for farm, total, and total earned income
Flag for farm, total, and total earned income
Flag for farm, total, and total earned income
All persons
Unaltered case
1
Not allocated, derived
2
Allocated
This variable is a data quality flag for INCFARM (Farm income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for interest, dividend and rental, total, and total earned income
Flag for interest, dividend and rental, total, and total earned income
Flag for interest, dividend and rental, total, and total earned income
Flag for interest, dividend and rental, total, and total earned income
Flag for interest, dividend and rental, total, and total earned income
Flag for interest, dividend and rental, total, and total earned income
All persons
Unaltered case
1
Not allocated, derived
2
Allocated
This variable is a data quality flag for INCINVST (Interest, dividend, and rental income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for other, total, and total earned income
Flag for other, total, and total earned income
Flag for other, total, and total earned income
Flag for other, total, and total earned income
Flag for other, total, and total earned income
Flag for other, total, and total earned income
All persons
Unaltered case
1
Not allocated, derived
2
Allocated
This variable is a data quality flag for INCOTHER (Income from other sources).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag forSocial Security, total, and total earned income
Flag forSocial Security, total, and total earned income
Flag forSocial Security, total, and total earned income
Flag forSocial Security, total, and total earned income
Flag forSocial Security, total, and total earned income
Flag forSocial Security, total, and total earned income
All persons
Unaltered case
1
Not allocated, derived
2
Allocated
This variable is a data quality flag for INCSS (Social Security income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for wage and salary, total, and total earned income
Flag for wage and salary, total, and total earned income
Flag for wage and salary, total, and total earned income
Flag for wage and salary, total, and total earned income
Flag for wage and salary, total, and total earned income
Flag for wage and salary, total, and total earned income
All persons
Unaltered case
1
Not allocated, derived
2
Allocated
This variable is a data quality flag for INCWAGE (Wage and Salary Income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for welfare (public assistance), total, and total earned income
Flag for welfare (public assistance), total, and total earned income
Flag for welfare (public assistance), total, and total earned income
Flag for welfare (public assistance), total, and total earned income
Flag for welfare (public assistance), total, and total earned income
Flag for welfare (public assistance), total, and total earned income
All persons
Unaltered case
1
Not allocated, derived
2
Allocated
This variable is a data quality flag for INCWELF (Welfare/public assistance income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for industry
Flag for industry
Flag for industry
Flag for industry
Flag for industry
Flag for industry
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for IND (Industry).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for disability limiting mobility
Flag for disability limiting mobility
Flag for disability limiting mobility
Flag for disability limiting mobility
Flag for disability limiting mobility
Flag for disability limiting mobility
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for DISABMOB (Disability Limiting Mobility).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for personal care limitation
Flag for personal care limitation
Flag for personal care limitation
Flag for personal care limitation
Flag for personal care limitation
Flag for personal care limitation
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for PERSCARE (Disability preventing self-care).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for place of work PUMA
Flag for place of work PUMA
Flag for place of work PUMA
Flag for place of work PUMA
Flag for place of work PUMA
Flag for place of work PUMA
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for PWPUMA (Place of work PUMA).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for marital status
Flag for marital status
Flag for marital status
Flag for marital status
Flag for marital status
Flag for marital status
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for MARST (Marital Status).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for retirement, total, and total earned income
Flag for retirement, total, and total earned income
Flag for retirement, total, and total earned income
Flag for retirement, total, and total earned income
Flag for retirement, total, and total earned income
Flag for retirement, total, and total earned income
All persons
Unaltered case
1
Not allocated, derived
2
Allocated
This variable is a data quality flag for INCRETIR (Retirement income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for place of residence 5 years ago
Flag for place of residence 5 years ago
Flag for place of residence 5 years ago
Flag for place of residence 5 years ago
Flag for place of residence 5 years ago
Flag for place of residence 5 years ago
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for MIGPLAC5 (State or country of residence 5 years ago).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for migration status, 5 years
Flag for migration status, 5 years
Flag for migration status, 5 years
Flag for migration status, 5 years
Flag for migration status, 5 years
Flag for migration status, 5 years
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for MIGRATE5 (Migration status).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for years of active-duty military service
Flag for years of active-duty military service
Flag for years of active-duty military service
Flag for years of active-duty military service
Flag for years of active-duty military service
Flag for years of active-duty military service
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for VETYRS (Years of Military Service).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for occupant moved into residence
Flag for occupant moved into residence
Flag for occupant moved into residence
Flag for occupant moved into residence
Flag for occupant moved into residence
Flag for occupant moved into residence
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for MOVEDIN (When occupant moved in).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for occupation
Flag for occupation
Flag for occupation
Flag for occupation
Flag for occupation
Flag for occupation
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for OCC (Occupation).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for race
Flag for race
Flag for race
Flag for race
Flag for race
Flag for race
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for RACE.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for relationship to household head
Flag for relationship to household head
Flag for relationship to household head
Flag for relationship to household head
Flag for relationship to household head
Flag for relationship to household head
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for RELATE (Relationship).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for vehicle occupancy
Flag for vehicle occupancy
Flag for vehicle occupancy
Flag for vehicle occupancy
Flag for vehicle occupancy
Flag for vehicle occupancy
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for RIDERS (Vehicle occupancy).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for school attendance and type
Flag for school attendance and type
Flag for school attendance and type
Flag for school attendance and type
Flag for school attendance and type
Flag for school attendance and type
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for SCHOOL (School Attendence).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for sex
Flag for sex
Flag for sex
Flag for sex
Flag for sex
Flag for sex
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for SEX.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for speaks English
Flag for speaks English
Flag for speaks English
Flag for speaks English
Flag for speaks English
Flag for speaks English
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for SPEAKENG (Speaks English).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for travel time to work
Flag for travel time to work
Flag for travel time to work
Flag for travel time to work
Flag for travel time to work
Flag for travel time to work
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for TRANTIME (Travel time to work).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for means of transportation to work
Flag for means of transportation to work
Flag for means of transportation to work
Flag for means of transportation to work
Flag for means of transportation to work
Flag for means of transportation to work
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for TRANWORK (Means of transportation to work).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for usual hours worked per week
Flag for usual hours worked per week
Flag for usual hours worked per week
Flag for usual hours worked per week
Flag for usual hours worked per week
Flag for usual hours worked per week
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for UHRSWOR (Usual Hours Worked Last Year).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for various periods of military service
Flag for various periods of military service
Flag for various periods of military service
Flag for various periods of military service
Flag for various periods of military service
Flag for various periods of military service
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for Period of Veteran Service.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for various periods of military service
Flag for various periods of military service
Flag for various periods of military service
Flag for various periods of military service
Flag for various periods of military service
Flag for various periods of military service
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for VETSTAT (Veteran Status).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for weeks worked last year
Flag for weeks worked last year
Flag for weeks worked last year
Flag for weeks worked last year
Flag for weeks worked last year
Flag for weeks worked last year
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for WKSWORK1 (Weeks Worked Last Year).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for worked last year
Flag for worked last year
Flag for worked last year
Flag for worked last year
Flag for worked last year
Flag for worked last year
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for WORKEDYR (Worked last year).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for year of immigration and years in the U.S.
Flag for year of immigration and years in the U.S.
Flag for year of immigration and years in the U.S.
Flag for year of immigration and years in the U.S.
Flag for year of immigration and years in the U.S.
Flag for year of immigration and years in the U.S.
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for YRIMMIG, YRSINUSA.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for year last worked
Flag for year last worked
Flag for year last worked
Flag for year last worked
Flag for year last worked
Flag for year last worked
All persons
Unaltered case
1
Allocated
This variable is a data quality flag for YRLASTWK (Year Last Worked).
Person Imputation Flags Variables -- PERSON
IPUMS
Retirement income
Retirement income
Retirement income
Retirement income
Retirement income
32. Income in 1989 --
Fill the "yes" circle below for each income source received during 1989. Otherwise, fill the "no" circle. If "yes," enter the total amount received during 1989. For income received jointly, see instruction guide. If exact amount is not known, please give best estimate. If net income was a loss, write "loss" above the dollar amount.
[Fill the yes or no circle for each part and enter the amount received during 1989. If income from any source was received jointly by household members, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and fill the no circle for the other person.]
32g. Retirement, survivor, or disability pensions
Do not include Social Security.
[] Yes
____ Annual amount -- Dollars
[] No
[Include retirement, disability, or survivor benefits received from companies and unions; Federal, State, and local governments, and the U.S. military. Include regular income from annuities and IRA or KEOGH retirement plans.]
Persons age 15+
This variable indicates how much pre-tax retirement, survivor, and disability pension income, other than Social Security, the respondent received during the previous year.
Income Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
PERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
Technical Person Variables -- PERSON
IPUMS
Years residing in current dwelling
Years residing in current dwelling
Years residing in current dwelling
Years residing in current dwelling
Years residing in current dwelling
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95 or more
98
Unknown
99
NIU (not in universe)
MIGYRS2 indicates the number of years that the respondent has lived in his/her current dwelling.
Migration Variables -- PERSON
IPUMS
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
99
Unknown/missing
MIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available.
Migration Variables -- PERSON
IPUMS
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
NIU (not in universe)
1
Less than primary completed
2
Primary completed
3
Secondary completed
4
University completed
9
Unknown
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
Education Variables -- PERSON
IPUMS
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
NIU (not in universe)
100
Less than primary completed (n.s.)
110
No schooling
120
Some primary completed
130
Primary (4 yrs) completed
211
Primary (5 yrs) completed
212
Primary (6 yrs) completed
221
Lower secondary general completed
222
Lower secondary technical completed
311
Secondary, general track completed
312
Some college completed
320
Secondary or post-secondary technical completed
321
Secondary, technical track completed
322
Post-secondary technical education
400
University completed
999
Unknown/missing
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
Education Variables -- PERSON
IPUMS
Hours worked per week
Hours worked per week
Hours worked per week
Hours worked per week
Hours worked per week
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)
HRSWORK1 indicates the number of hours the respondent worked per week at all jobs.
Work Variables -- PERSON
IPUMS
Hours worked per week, categorized
Hours worked per week, categorized
Hours worked per week, categorized
Hours worked per week, categorized
Hours worked per week, categorized
None
1
1 to 14 hours
2
15 to 29 hours (except ve1971)
3
30 to 39 hours (except ve1971 and de1970)
4
40-48 hours (except il1972 and de1970)
5
49 hours or more
8
Unknown
9
NIU (not in universe)
HRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals.
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
Same house 5 years ago
Same house 5 years ago
Same house 5 years ago
Same house 5 years ago
Same house 5 years ago
NIU (not in universe)
1
Same house
2
Different house
9
Unknown
MIGHOUSE indicates whether the person lived in the same house 5 years ago.
Migration Variables -- PERSON
IPUMS
Nativity status
Nativity status
Nativity status
Nativity status
Nativity status
NIU (not universe)
1
Native-born
2
Foreign-born
9
Unknown/missing
NATIVITY indicates whether the person was native- or foreign-born.
Nativity and Birthplace Variables -- PERSON
IPUMS
Year [person version]
Year [person version]
Year [person version]
Year [person version]
Year [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
Country [person version]
Country [person version]
Country [person version]
Country [person version]
Country [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS