DDI_USA_2000_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 2000 - IPUMS Subset
PHC 2000 (IPUMS Harmonized Subset)
USA_2000_PHC_v01_M_v02_A_IPUMS
U.S. Census Bureau
Minnesota Population Center
Minnesota Population Center
(c) Copyright 2000, 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
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 excluding institutions and transient quarters.
- Group quarters: No threshold was applied; in order for a household to be considered group quarters in 2000, it had to be on the list of group quarters that is continuously maintained by the Census Bureau.
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 excluding institutions and transient quarters.
- Group quarters: No threshold was applied; in order for a household to be considered group quarters in 2000, it had to be on the list of group quarters that is continuously maintained by the Census Bureau.
MICRODATA SOURCE: U.S. Census Bureau
SAMPLE UNIT: Household
SAMPLE FRACTION: 5%
SAMPLE SIZE (person records): 14,081,466
Face-to-face [f2f]
The 2000 census used a long form questionnaire. Long Form Sampling Entities (LFSEs) were used to determine sampling rates. If the smallest LFSE that included all or any part of a block had an estimated housing unit count of less than 800, the housing units in the block were sampled at a 1-in-2 rate. If it had an estimated housing unit count of 800 or more but less than 1,200, units were sampled at a 1-in-4 rate. If a block was not in either of the two previous categories, and was part of an interim census tract with 2,000 or more estimated housing units, units were sampled at a 1-in-8 rate. Housing units in all remaining blocks were sampled at a 1-in-6 rate. When all sampling rates were taken into account across the nation, approximately 1 out of every 6 housing units was included in the Census 2000 sample.
De jure, CENSUS DAY: April 1, 2000
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, 2000 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.
USA2000-H-H
Household records
0
127
USA2000-P-H
Person records
0
249
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
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
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
1
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 number unique 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
1. How many people were living or staying in this house, apartment, or mobile home
on April 1, 2000?
_ _ Number of people
Include in this number:
-- Foster children, roomers, or housemates
-- People staying here on April 1, 2000 who have no other permanent place to stay
-- People living here most of the time while working, even if they have another place to live
Do not include in this number:
-- College students living away while attending college
-- People in a correctional facility, nursing home, or mental hospital on April 1, 2000
-- Armed Forces personnel living somewhere else
-- People who live or stay at another place most of the time
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
27
27
30
30
32
32
54
54
This variable indicates the number of person records following the actual household information record.
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
This variable indicates each household to one of 100 sub-sample 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 were represented by a given household.
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 housing unit was located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
State (ICPSR code)
State (ICPSR code)
State (ICPSR code)
State (ICPSR code)
State (ICPSR code)
State (ICPSR code)
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 (ICPSR code) where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
State (FIPS code)
State (FIPS code)
State (FIPS code)
State (FIPS code)
State (FIPS code)
State (FIPS code)
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 (FIPS code) where the household was located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Public use microdata area (PUMA)
Public use microdata area (PUMA)
Public use microdata area (PUMA)
Public use microdata area (PUMA)
Public use microdata area (PUMA)
Public use microdata area (PUMA)
All households
This variable indicates the Public Use Microdata Area (PUMA) where the housing unit was located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Metropolitan status
Metropolitan status
Metropolitan status
Metropolitan status
Metropolitan status
Metropolitan status
All households
Not identifiable
1
Not in metro area
2
Central city
3
Outside central city
4
Central city status unknown
This variable indicates whether the household was located within a metropolitan area.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Metropolitan area
Metropolitan area
Metropolitan area
Metropolitan area
Metropolitan area
Metropolitan area
All households
Not in an identifiable metropolitan area
40
Abilene, TX
80
Akron, OH
120
Albany, GA
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
440
Ann Arbor, MI
450
Anniston, AL
460
Appleton-Oskosh-Neenah, WI
480
Asheville, NC
500
Athens, GA
520
Atlanta, GA
560
Atlantic City, NJ
580
Auburn-Opelika, AL
600
Augusta-Aiken, GA-SC
640
Austin, TX
680
Bakersfield, CA
720
Baltimore, MD
740
Barnstable-Yarmouth, MA
760
Baton Rouge, LA
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
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
1320
Canton, OH
1360
Cedar Rapids, IA
1400
Champaign-Urbana-Rantoul, IL
1440
Charleston-N.Charleston, SC
1520
Charlotte-Gastonia-Rock Hill, SC
1540
Charlottesville, VA
1560
Chattanooga, TN/GA
1600
Chicago-Gary-Lake IL
1602
Gary-Hammond-East Chicago, IN
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
1800
Columbus, GA/AL
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
2180
Dothan, AL
2190
Dover, DE
2240
Duluth-Superior, MN/WI
2281
Dutchess County, NY
2290
Eau Claire, WI
2310
El Paso, TX
2320
Elkhart-Goshen, IN
2360
Erie, PA
2400
Eugene-Springfield, OR
2440
Evansville, IN/KY
2520
Fargo-Moorhead, ND/MN
2560
Fayetteville, NC
2580
Fayetteville-Springdale, AR
2600
Fitchburg-Leominster, MA
2620
Flagstaff, AZ
2640
Flint, MI
2650
Florence, AL
2670
Fort Collins-Loveland, CO
2680
Fort Lauderdale-Hollywood-Pompano Beach, FL
2700
Fort Myers-Cape Coral, FL
2710
Fort Pierce, FL
2720
Fort Smith, AR/OK
2750
Fort Walton Beach, FL
2760
Fort Wayne, IN
2840
Fresno, CA
2880
Gadsden, AL
2900
Gainesville, FL
2920
Galveston-Texas City, TX
2970
Glens Falls, NY
2980
Goldsboro, NC
3000
Grand Rapids, MI
3010
Grand Junction, CO
3060
Greeley, CO
3080
Green Bay, WI
3120
Greensboro-Winston Salem-High Point, NC
3150
Greenville, NC
3160
Greenville-Spartenburg-Anderson, SC
3180
Hagerstown, MD
3200
Hamilton-Middleton, OH
3240
Harrisburg-Lebanon-Carlisle, PA
3280
Hartford-Bristol-Middletown-New Britian, CT
3290
Hickory-Morgantown, NC
3300
Hattiesburg, MS
3320
Honolulu, HI
3350
Houma-Thibodoux, LA
3360
Houston-Brazoria, TX
3361
Brazoria, TX
3440
Huntsville, AL
3480
Indianapolis, IN
3500
Iowa City, IA
3520
Jackson, MI
3560
Jackson, MS
3580
Jackson, TN
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
3740
Kankakee, IL
3760
Kansas City, MO-KS
3800
Kenosha, WI
3810
Killeen-Temple, TX
3840
Knoxville, TN
3850
Kokomo, IN
3870
LaCrosse, WI
3880
Lafayette, LA
3920
Lafayette-W. Lafayette, IN
3960
Lake Charles, LA
3980
Lakeland-Winterhaven, FL
4000
Lancaster, PA
4040
Lansing-E. Lansing, MI
4080
Laredo, TX
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
4480
Los Angeles-Long Beach, CA
4482
Orange County, CA
4520
Louisville, KY/IN
4600
Lubbock, TX
4640
Lynchburg, VA
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
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
5330
Myrtle Beach, SC
5340
Naples, FL
5350
Nashua, NH
5360
Nashville, TN
5400
New Bedford, MA
5480
New Haven-Meriden, CT
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
5660
Newburgh-Middletown, NY
5720
Norfolk-VA Beach-Newport News, VA
5790
Ocala, FL
5800
Odessa, TX
5880
Oklahoma City, OK
5910
Olympia, WA
5920
Omaha, NE/IA
5960
Orlando, FL
6010
Panama City, FL
6080
Pensacola, FL
6120
Peoria, IL
6160
Philadelphia, PA/NJ
6200
Phoenix, AZ
6280
Pittsburgh-Beaver Valley, PA
6400
Portland, ME
6440
Portland-Vancouver, OR
6480
Providence-Fall River-Pawtuckett, MA
6520
Provo-Orem, UT
6560
Pueblo, CO
6580
Punta Gorda, FL
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
6895
Rocky Mount, NC
6920
Sacramento, CA
6960
Saginaw-Bay City-Midland, MI
6980
St. Cloud, MN
7000
St. Joseph, MO
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
7460
San Luis Obispo-Atascad-P Robles, 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
7720
Sioux City, IA/NE
7760
Sioux Falls, SD
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
8140
Sumter, SC
8160
Syracuse, NY
8200
Tacoma, WA
8240
Tallahassee, FL
8280
Tampa-St. Petersburg-Clearwater, FL
8320
Terre Haute, IN
8400
Toledo, OH/MI
8440
Topeka, KS
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
9270
Yolo, CA
9280
York, PA
9320
Youngstown-Warren, OH-PA
9340
Yuba City, CA
9360
Yuma, AZ
This variable indicates the counties or combinations of counties centering on a substantial urban area where the household was located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
City
City
City
City
City
City
All households
Not in identifiable city
10
Akron, OH
90
Alexandria, VA
130
Allentown, PA
190
Anaheim, CA
210
Anchorage, AK
270
AnnArbor, MI
510
Bakersfield, CA
530
Baltimore, MD
590
Baton Rouge, LA
670
Beaumont, TX
680
Bellevue, WA
800
Boise, ID
810
Boston, MA
830
Bridgeport, CT
880
Brownsville, TX
890
Buffalo, NY
920
Burbank, CA
930
Cambridge, MA
1000
Cape Coral, FL
1090
Charlotte, NC
1110
Chattanooga, TN
1150
Chesapeake, VA
1190
Chicago, IL
1290
Cincinnati, OH
1330
Cleveland, OH
1410
Columbia, SC
1430
Columbus, GA
1500
Corona, CA
1520
Corpus Christi, TX
1540
Costa Mesa, CA
1670
Dayton, OH
1730
Des Moines, IA
1750
Detroit, MI
1800
Downey, CA
1990
El Monte, CA
2050
Elizabeth, NJ
2090
Erie, PA
2170
Evansville, IN
2240
Fayetteville, NC
2260
Fontana, CA
2270
Flint, MI
2300
Fort Collins, CO
2330
Fort Wayne, IN
2370
Fresno, CA
2390
Fullerton, CA
2430
Garden Grove, CA
2470
Gary, IN
2490
Glendale, CA
2530
Grand Rapids, MI
2550
Green Bay, WI
2570
Greensboro, NC
2650
Hampton, VA
2710
Hartford, CT
2930
Huntingon Beach, CA
2950
Huntsville, AL
2970
Independence, MO
3010
Inglewood, CA
3020
Irivine, CA
3030
Irving, TX
3090
Jackson, MS
3150
Jersey City, NJ
3260
Kansas City, MO
3330
Knoxville, TN
3390
Lafayette, LA
3440
Lanaster, CA
3470
Lansing, MI
3590
Lexington-Fayette, KY
3650
Little Rock, AR
3670
Livonia, MI
3690
Long Beach, CA
3730
Los Angeles, CA
3770
Lowell, MA
3870
Madison, WI
3910
Manchester, NH
3960
McAllen, TX
4010
Memphis, TN
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
4820
North Las Vegas, NV
4860
Norwalk, CA
4990
Oklahoma City, OK
5030
Ontario, CA
5040
Orange, CA
5130
Oxnard, CA
5140
Palmdale, CA
5150
Pasadena, CA
5170
Pasadena, TX
5210
Paterson, NJ
5270
Peoria, IL
5330
Philadelphia, PA
5370
Pittsburgh, PA
5430
Plano, TX
5450
Pomona, CA
5650
Providence, RI
5660
Provo, UT
5750
Raleigh, NC
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
6190
Salinas, CA
6210
Salt Lake City, UT
6250
San Bernadino, CA
6260
San Buenaventura (Ventura), CA
6290
San Francisco, CA
6330
Santa Ana, CA
6340
Santa Clarita, CA
6370
Savannah, GA
6430
Seattle, WA
6500
Simi Valley, CA
6530
Sioux Falls, SD
6590
South Bend, IN
6630
Spokane, WA
6650
Springfield, IL
6670
Springfield, MA
6690
Springfield, MO
6730
Stamford, CT
6750
Sterling Heights, MI
6790
Stockton, CA
6850
Syracuse, NY
6870
Tacoma, WA
6960
Thousand Oaks, CA
6970
Toledo, OH
7000
Torrance, CA
7070
Tulsa, OK
7100
Vancouver, WA
7130
Virginia Beach, VA
7180
Warren, MI
7230
Washington, DC
7250
Waterbury, CT
7320
West Covina, CA
7410
Wichita, KS
7530
Winston-Salem, NC
7570
Worcester, MA
7590
Yonkers, NY
This variable indicatess the city where the household was located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
City population
City population
City population
City population
City population
City population
All households
City not identified
1003
1003
1005
1005
1009
1009
1014
1014
1023
1023
1027
1027
1033
1033
1037
1037
1052
1052
1064
1064
1066
1066
1070
1070
1073
1073
1078
1078
1087
1087
1096
1096
1103
1103
1114
1114
1115
1115
1126
1126
1129
1129
1133
1133
1139
1139
1140
1140
1155
1155
1160
1160
1163
1163
1167
1167
1170
1170
1171
1171
1187
1187
1191
1191
1206
1206
1210
1210
1216
1216
1236
1236
1240
1240
1245
1245
1249
1249
1250
1250
1260
1260
1277
1277
1283
1283
1288
1288
1289
1289
1315
1315
1339
1339
1379
1379
1382
1382
1395
1395
1397
1397
1417
1417
1424
1424
1431
1431
1436
1436
1464
1464
1473
1473
1492
1492
1495
1495
1501
1501
1511
1511
1516
1516
1521
1521
1556
1556
1580
1580
1582
1582
1652
1652
1662
1662
1704
1704
1726
1726
1736
1736
1739
1739
1802
1802
1805
1805
1817
1817
1831
1831
1843
1843
1854
1854
1858
1858
1863
1863
1889
1889
1896
1896
1916
1916
1936
1936
1950
1950
1956
1956
1961
1961
1978
1978
1987
1987
1989
1989
1992
1992
2016
2016
2057
2057
2081
2081
2171
2171
2198
2198
2220
2220
2239
2239
2278
2278
2344
2344
2401
2401
2438
2438
2471
2471
2552
2552
2603
2603
2605
2605
2735
2735
2761
2761
2775
2775
2872
2872
2926
2926
3136
3136
3280
3280
3313
3313
3346
3346
3380
3380
3443
3443
3482
3482
3826
3826
3930
3930
4070
4070
4253
4253
4277
4277
4415
4415
4615
4615
4784
4784
4847
4847
5061
5061
5408
5408
5634
5634
5721
5721
5891
5891
5970
5970
6501
6501
6512
6512
7320
7320
7767
7767
9513
9513
15176
15176
28960
28960
36948
36948
80083
80083
This variable indicates city population.
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
5
Additional households under 2000 definition
This variable indicates all housing units as falling into one of three main categories: households, group quarters, or vacant units.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Group quarters type
Group quarters type
Group quarters type
Group quarters type
Group quarters type
Group quarters type
Group quarters
NIU (not in universe)
1
Institution
2
Non-institutional group quarters
3
Military
4
College dormitory
This variable indicates the type of group quarters.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Farm status
Farm status
Farm status
Farm status
Farm status
44. Answer only if this is a one-family house or mobile home -all others skip to 45.
44. b. How many acres is this house or mobile home on?
[] Less than 1 acre [Go on to question 45]
[] 1 to 9.9 acres
[] 10 or more acres
44. c. In 1999, what were the actual sales of all agricultural products from this property?
[] None
[] $1 to $999
[] $1,000 to $2,499
[] $2,500 to $4,999
[] $5,000 to $9,999
[] $10,000 or more
All households
1
Non-farm
2
Farm
This variable indicates the farm status of the household.
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
44. Answer only if this is a one-family house or mobile home -all others skip to 45.
44. c. In 1999, what were the actual sales of all agricultural products from this property?
[] None
[] $1 to $999
[] $1,000 to $2,499
[] $2,500 to $4,999
[] $5,000 to $9,999
[] $10,000 or more
Not group quarters, not lots under 1 acre, not vacant or multiple units
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
33. Is this house, apartment, or mobile home -
[] 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 or loan)?
[] Rented for cash rent?
[] Occupied without payment of cash rent?
Not group quarters; occupied (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 housing unit was rented or owned by its inhabitants.
Household Economic Variables -- HOUSEHOLD
IPUMS
Mortgage status
Mortgage status
Mortgage status
Mortgage status
Mortgage status
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
47. a. 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
[] Yes, contract to purchase
[] No [Go on to question 48a]
Owner-occupied dwellings; 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 housing unit 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
48. a. Do you have a second mortgage or a home equity loan on this property? Mark [X] all boxes that apply.
[] Yes, a second mortgage
[] Yes, a home equity loan
[] No [Go on to question 49]
Households that own a dwelling with mortgage
NIU (not in universe)
1
No
3
Yes, 2nd mortgage
4
Yes, home equity loan
5
Yes, 2nd mortgage and home equity loan
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
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
47. b. How much is your regular monthly mortgage payment on this property? Include payment only on first mortgage or contract to purchase.
Monthly amount - Dollars
$_ _ ,_ _ _ .00
Or
[] No regular payment required [Go on to question 48a]
Households that own a dwelling with mortgage
NIU (not in universe)
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
730
730
740
740
750
750
760
760
770
770
780
780
790
790
800
800
810
810
820
820
830
830
840
840
850
850
860
860
870
870
880
880
890
890
900
900
910
910
920
920
930
930
940
940
950
950
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1200
1200
1300
1300
1400
1400
1500
1500
1600
1600
1700
1700
1800
1800
1900
1900
2000
2000
2100
2100
2200
2200
2300
2300
2400
2400
2500
2500
2600
2600
2700
2700
2800
2800
2900
2900
3000
3000
3700
3700
3800
3800
3900
3900
4000
4000
4100
4100
4200
4200
4300
4300
4400
4400
5600
5600
This variable indicates a pseudo-continuous variable that reports 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
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
51. What is the value of this property; that is, how much do you think this house and lot, apartment, or mobile home and lot 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 $49,999
[] $50,000 to $59,999
[] $60,000 to $69,999
[] $70,000 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 to $749,999
[] $750,000 to $999,999
[] $1,000,000 or more
Owner-occupied or vacant-for-sale housing units; not group quarters
5000
Less than $10,000
12500
$10,000-14,999
17500
$15,000-19,999
22500
$20,000-24,999
27500
$25,000-29,999
32500
$30,000-34,999
37500
$35,000-39,999
45000
$40,000-49,999
55000
$50,000-59,999
65000
$60,000-69999
75000
$70,000-79,999
85000
$80,000-89,999
95000
$90,000-99,999
112500
$100,000-124,999
137500
$125,000-149,999
162500
$150,000-174,999
187500
$175,000-199,999
225000
$200,000-249,999
275000
$250,000-299,999
350000
$300,000-399,999
450000
$400,000-499,999
625000
$500,000-749,999
875000
$750,000-999,999
999998
$1,000,000+
999999
NIU (not in universe)
This variable indicates the value of the dwelling in contemporary dollars.
Household Economic Variables -- HOUSEHOLD
IPUMS
Commercial use
Commercial use
Commercial use
Commercial use
Commercial use
44. Answer only if this is a one-family house or mobile home -all others skip to 45.
44. a. Is there a business (such as a store or barber shop) or a medical office on this property?
[] Yes
[] No
Not group quarters; not multi-family units; not boats, tents, vans, other
NIU (not in universe)
1
No commerical use
2
Yes, used commercially
This variable indicates housing units with 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
44. Answer only if this is a one-family house or mobile home -all others skip to 45.
44. b. How many acres is this house or mobile home on?
[] Less than 1 acre [Go on to question 45]
[] 1 to 9.9 acres
[] 10 or more acres
Not group quarters; not multi-family units; not boats, tents, vans, other
NIU (not in universe)
2
City or suburban lot or rural lot less than 1 acre
4
1 -9 acres
5
10+ acres
This variable indicates the number of acres on which a housing unit was located.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
House acreage
House acreage
House acreage
House acreage
House acreage
44. Answer only if this is a one-family house or mobile home -all others skip to 45.
44. b. How many acres is this house or mobile home on?
[] Less than 1 acre [Go on to question 45]
[] 1 to 9.9 acres
[] 10 or more acres
Not group quarters; not multi-family units; not boats, tents, vans, other
NIU (not in universe)
1
House on less than 10 acres
2
House on 10 acres or more
This variable indicates whether a single-family house or trailer was located on 10+ acres.
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
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
47. c. Does your regular monthly mortgage payment include payments for real estate taxes on this property?
[] Yes, taxes included in mortgage payment
[] No, taxes paid separately or taxes not required
Households with mortgage payment
NIU (not in universe)
1
No
2
Yes
This variable indicates whether the household's monthly mortgage payment amount included state, local, and/or other real estate taxes.
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
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
47. d. Does your regular monthly mortgage payment include payments for fire, hazard, or flood insurance on this property?
[] Yes, insurance included in mortgage payment
[] No, insurance paid separately or no insurance
Households with 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 covered property (fire, hazard, flood) insurance premiums.
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
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
50. What was the annual payment for fire, hazard, and flood insurance on this property?
Monthly amount - Dollars
$_ _ ,_ _ _ .00
Or
[] None
Owner-occupied dwellings; not gorup quarters
NIU (not in universe)
1
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
730
730
740
740
750
750
760
760
770
770
780
780
790
790
800
800
810
810
820
820
830
830
840
840
850
850
860
860
870
870
880
880
890
890
900
900
910
910
920
920
930
930
940
940
950
950
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1200
1200
1300
1300
1400
1400
1500
1500
1600
1600
1700
1700
1800
1800
1900
1900
2000
2000
2100
2100
2200
2200
2300
2300
2400
2400
2500
2500
3100
3100
3200
3200
3300
3300
3400
3400
3500
3500
3600
3600
3700
3700
This variable indicates a pseudo-continuous variable that describes the household's annual property insurance costs.
Household Economic Variables -- HOUSEHOLD
IPUMS
Annual real estate taxes
Annual real estate taxes
Annual real estate taxes
Annual real estate taxes
Annual real estate taxes
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
49. What were the real estate taxes on this property last year?
Monthly amount - Dollars
$_ _ ,_ _ _ .00
Or
[] None
Owner-occupied dwellings; not group quarters
1
None
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
58
4500 -4599
59
4600 -4699
60
4700 -4799
61
4800 -4899
62
4900 -4999
63
5000 -5499
64
5500 -5999
65
6000 -6999
66
7000 -7999
67
8000 - 9099
68
9100 -9999
99
NIU (not in universe)
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
46. Answer only if you pay rent for this house, apartment, or mobile home - All others skip to 47a.
46. a. What is the monthly rent?
Monthly amount - Dollars
$_ _ ,_ _ _ .00
46. b. Does the monthly rent include any meals?
[] Yes
[] No
Renter-occupied or vacant-to-rent units rented for cash; not group quarters
NIU (not in universe)
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
730
730
740
740
750
750
760
760
770
770
780
780
790
790
800
800
810
810
820
820
830
830
840
840
850
850
860
860
870
870
880
880
890
890
900
900
910
910
920
920
930
930
940
940
950
950
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1200
1200
1300
1300
1400
1400
1500
1500
1600
1600
1700
1700
1900
1900
2000
2000
2100
2100
2200
2200
2300
2300
2400
2400
2500
2500
This variable indicates a pseudo-continuous variable that reports 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
46. Answer only if you pay rent for this house, apartment, or mobile home - All others skip to 47a.
46. a. What is the monthly rent?
Monthly amount - Dollars
$_ _ ,_ _ _ .00
46. b. Does the monthly rent include any meals?
[] Yes
[] No
Renter-occupied units rented for cash; not group qaurters
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
46. Answer only if you pay rent for this house, apartment, or mobile home - All others skip to 47a.
46. a. What is the monthly rent?
Monthly amount - Dollars
$_ _ ,_ _ _ .00
46. b. Does the monthly rent include any meals?
[] Yes
[] No
Renter-occupied or vacant-to-rent units that rented for cash
NIU (not in universe)
1
No, meals not included
2
Yes
This variable indicates whether the monthly contract rent payment included meals.
Household Economic Variables -- HOUSEHOLD
IPUMS
Monthly condominium fee
Monthly condominium fee
Monthly condominium fee
Monthly condominium fee
Monthly condominium fee
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
52. Answer only if this is a condominium - What is the monthly condominium fee?
Monthly amount - Dollars
$_ _ ,_ _ _ .00
Owner-occupied condominiums; not group quarters
NIU (not in universe)
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
770
770
890
890
920
920
940
940
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1200
1200
1300
1300
1400
1400
This variable indicates the amount of the condominium unit's assigned monthly condominium fee in contemporary dollars.
Household Economic Variables -- HOUSEHOLD
IPUMS
Condominium status
Condominium status
Condominium status
Condominium status
Condominium status
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
52. Answer only if this is a condominium - What is the monthly condominium fee?
Monthly amount - Dollars
$_ _ ,_ _ _ .00
Owner-occupied dwellings, not group quarters, not vacant units
NIU (not in universe)
1
Not a condominium unit
2
Condominium unit
This variable indicates condominiums [housing units whose occupants share with other households the ownership and use of certain common areas and facilities].
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Annual mobile home costs with loan payments
Annual mobile home costs with loan payments
Annual mobile home costs with loan payments
Annual mobile home costs with loan payments
Annual mobile home costs with loan payments
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
53. Answer only if this is a mobile home -
53. b. What was the total cost for installment loan payments, personal property taxes, site rent, registration fees, and license fees on this mobile home and its site last year? Exclude real estate taxes.
Yearly amount - Dollars
$_ _ ,_ _ _ .00
Owner-occupied mobile homes, with costs related to mobile home status; not group quarters
NIU (not in universe)
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
730
730
740
740
750
750
760
760
770
770
780
780
790
790
800
800
810
810
820
820
830
830
840
840
850
850
860
860
870
870
880
880
890
890
900
900
910
910
920
920
930
930
940
940
950
950
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1200
1200
1300
1300
1400
1400
1500
1500
1600
1600
1700
1700
1800
1800
1900
1900
2000
2000
2100
2100
2200
2200
2300
2300
2400
2400
2500
2500
2600
2600
2700
2700
2800
2800
2900
2900
3000
3000
3100
3100
3200
3200
3300
3300
3400
3400
3500
3500
3600
3600
3700
3700
3800
3800
3900
3900
4000
4000
4100
4100
4200
4200
4300
4300
4400
4400
4500
4500
4600
4600
4700
4700
4800
4800
4900
4900
5000
5000
5100
5100
5200
5200
5300
5300
5400
5400
5500
5500
5600
5600
5700
5700
5800
5800
5900
5900
6000
6000
6100
6100
6200
6200
6300
6300
6400
6400
6500
6500
6600
6600
6700
6700
6800
6800
6900
6900
7000
7000
7100
7100
7200
7200
7300
7300
7400
7400
7500
7500
7600
7600
7700
7700
7800
7800
7900
7900
8000
8000
8100
8100
8200
8200
8300
8300
8400
8400
8500
8500
8600
8600
8700
8700
8800
8800
8900
8900
9000
9000
9100
9100
9200
9200
9300
9300
9400
9400
9500
9500
9600
9600
9700
9700
9800
9800
9900
9900
9999
9999+
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
45. What are the annual costs of utilities and fuels for this house, apartment, or mobile home? If you have lived here less than 1 year, estimate the annual cost.
45. a. Electricity
Annual cost - Dollars
$_ ,_ _ _ .00
Or
[] Included in rent or in condominium fee
[] No charge or electricity not used
Not group quarters, not vacant units
NIU (not in universe)
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
730
730
740
740
750
750
760
760
770
770
780
780
790
790
800
800
810
810
820
820
830
830
840
840
850
850
860
860
870
870
880
880
890
890
900
900
910
910
920
920
930
930
940
940
950
950
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1200
1200
1300
1300
1400
1400
1500
1500
1600
1600
1700
1700
1800
1800
1900
1900
2000
2000
2100
2100
2200
2200
2300
2300
2400
2400
2500
2500
2600
2600
2700
2700
2800
2800
2900
2900
3000
3000
3100
3100
3200
3200
3300
3300
3400
3400
3500
3500
3600
3600
3700
3700
3800
3800
3900
3900
4000
4000
4100
4100
4200
4200
4300
4300
4400
4400
4500
4500
4600
4600
4700
4700
4800
4800
5500
5500
5600
5600
5700
5700
5800
5800
5900
5900
6000
6000
9993
No charge or no electricity used
9997
Electricity included in rent or in condo fee
This variable indicates the annual electricity cost for each housing unit (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
45. What are the annual costs of utilities and fuels for this house, apartment, or mobile home? If you have lived here less than 1 year, estimate the annual cost.
45. b. Gas
Annual cost - Dollars
$_ ,_ _ _ .00
Or
[] Included in rent or in condominium fee
[] No charge or gas not used
Not group quarters, not vacant units
NIU (not in universe)
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
730
730
740
740
750
750
760
760
770
770
780
780
790
790
800
800
810
810
820
820
830
830
840
840
850
850
860
860
870
870
880
880
890
890
900
900
910
910
920
920
930
930
940
940
950
950
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1200
1200
1300
1300
1400
1400
1500
1500
1600
1600
1700
1700
1800
1800
1900
1900
2000
2000
2100
2100
2200
2200
2300
2300
2400
2400
2500
2500
2600
2600
2700
2700
2800
2800
2900
2900
3000
3000
3800
3800
3900
3900
4000
4000
4100
4100
4200
4200
4300
4300
4400
4400
4500
4500
9993
no charge or no gas used
9997
gas included in rent or in condo fee
This variable indicates a rented housing unit's annual costs for utility, bottled, tank, or liquid petroleum gas, excluding amounts included with contract rent payments.
Household Economic Variables -- HOUSEHOLD
IPUMS
Annual water cost
Annual water cost
Annual water cost
Annual water cost
Annual water cost
45. What are the annual costs of utilities and fuels for this house, apartment, or mobile home? If you have lived here less than 1 year, estimate the annual cost.
45. c. Water and sewer
Annual cost - Dollars
$_ ,_ _ _ .00
Or
[] Included in rent or in condominium fee
[] No charge
Not group quarters, not vacant units
NIU (not in universe)
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
730
730
740
740
750
750
760
760
770
770
780
780
790
790
800
800
810
810
820
820
830
830
840
840
850
850
860
860
870
870
880
880
890
890
900
900
910
910
920
920
930
930
940
940
950
950
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1200
1200
1300
1300
1400
1400
1500
1500
1600
1600
1700
1700
1800
1800
1900
1900
2000
2000
2400
2400
2500
2500
2600
2600
2700
2700
2800
2800
2900
2900
3000
3000
3100
3100
9993
No charge or no used
9997
Water included in rent or in condo fee
This variable indicates each rented housing unit's annual water cost, excluding amounts included with contract rent 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
45. What are the annual costs of utilities and fuels for this house, apartment, or mobile home? If you have lived here less than 1 year, estimate the annual cost.
45. d. Oil, coal, kerosene, wood, etc.
Annual cost - Dollars
$_ ,_ _ _ .00
Or
[] Included in rent or in condominium fee
[] No charge or these fuels not used
Not group quarters, not vacant units
NIU (not in universe)
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
730
730
740
740
750
750
760
760
770
770
780
780
790
790
800
800
810
810
820
820
830
830
840
840
850
850
860
860
870
870
880
880
890
890
900
900
910
910
920
920
930
930
940
940
950
950
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1200
1200
1300
1300
1400
1400
1500
1500
1600
1600
1700
1700
1800
1800
1900
1900
2000
2000
2100
2100
2800
2800
2900
2900
3000
3000
3100
3100
3200
3200
3300
3300
3400
3400
3500
3500
3600
3600
3700
3700
3800
3800
3900
3900
4000
4000
4200
4200
4500
4500
9993
No charge or no solid or liquid fuel used
9997
Fuel included in rent or in condo fee
This variable indicates the rented housing unit's annual home heating fuel cost, excluding amounts included with contract rent payments.
Household Economic Variables -- HOUSEHOLD
IPUMS
Total family income
Total family income
Total family income
Total family income
Total family income
32. What was this person's total income in 1999? Add entries in questions 31 a-31 h; subtract any losses. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
[] None, or
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] Loss
Not group quarters, not vacant units
This variable indicates the primary family'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 units
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
7
For migratory workers
9
Other vacant
This variable indicates vacant housing units and reports the reason for the vacancy.
Technical Household Variables -- HOUSEHOLD
IPUMS
Total household income
Total household income
Total household income
Total household income
Total household income
32. What was this person's total income in 1999? Add entries in questions 31 a-31 h; subtract any losses. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
[] None, or
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] Loss
Not group quarters, not vacant units
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
40. Do you have complete kitchen facilities in this house, apartment, or mobile home; that is, 1) a sink with piped water, 2) a range or stove, and 3) a refrigerator?
[] Yes, have all three facilities
[] No
Not group quarters
NIU (not in universe)
1
No
4
Yes (shared or exclusive use)
This variable indicates whether the household has a room used primarily for cooking and food preparation; or equipment intended or regularly used to cook food; or both.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Number of rooms
37. How many rooms do you have in this house, apartment, or mobile home? 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
Not group quarters
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 housing unit.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Plumbing facilities
Plumbing facilities
Plumbing facilities
Plumbing facilities
Plumbing facilities
39. Do you have complete plumbing facilities in this house, apartment, or mobile home; that is, 1) hot and cold piped water, 2) a flush toilet, and 3) a bathtub or shower?
[] Yes, have all three facilities
[] No
Not group quarters
NIU (not in universe)
10
Without complete plumbing
20
With complete plumbing
This variable indicates whether the housing unit contained complete plumbing facilities.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Age of structure
Age of structure
Age of structure
Age of structure
Age of structure
35. About when was this building first built?
[] 1999 or 2000
[] 1995 to 1998
[] 1990 to 1994
[] 1980 to 1989
[] 1970 to 1979
[] 1960 to 1969
[] 1950 to 1959
[] 1940 to 1949
[] 1939 or earlier
Not group quarters
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 -60
9
61+
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
34. Which best describes this building? Include all apartments, flats, etc., even if vacant.
[] A mobile home
[] 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
[] Boat, RV, van, etc.
Not group quarters, not business units
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 housing units (both occupied and vacant) in the structure containing the household.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
38. How many bedrooms do you have; that is, how many bedrooms would you list if this house, apartment, or mobile home were on the market for sale or rent?
[] No bedroom
[] 1 bedroom
[] 2 bedrooms
[] 3 bedrooms
[] 4 bedrooms
[] 5 or more bedrooms
Not group quarters
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 housing unit.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Telephone availability
Telephone availability
Telephone availability
Telephone availability
Telephone availability
41. Is there telephone service available in this house, apartment, or mobile home from which you can both make and receive calls?
[] Yes
[] No
Not group quarters, not vacant units
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
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
48. b. How much is your regular monthly payment on all second or junior mortgages and all home equity loans on this property?
Monthly amount - Dollars
$_ _ ,_ _ _ .00
Or
[] No regular payment required
Households that reported having a second mortgage
NIU (not in universe)
1
No regular payment
4
4
10
10
20
20
30
30
40
40
50
50
60
60
70
70
80
80
90
90
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
250
250
260
260
270
270
280
280
290
290
300
300
310
310
320
320
330
330
340
340
350
350
360
360
370
370
380
380
390
390
400
400
410
410
420
420
430
430
440
440
450
450
460
460
470
470
480
480
490
490
500
500
510
510
520
520
530
530
540
540
550
550
560
560
570
570
580
580
590
590
600
600
610
610
620
620
630
630
640
640
650
650
660
660
670
670
680
680
690
690
700
700
710
710
720
720
730
730
740
740
750
750
760
760
770
770
780
780
790
790
800
800
810
810
820
820
830
830
840
840
850
850
860
860
870
870
880
880
890
890
900
900
910
910
920
920
930
930
940
940
950
950
960
960
970
970
980
980
990
990
1000
1000
1100
1100
1400
1400
1500
1500
1600
1600
1700
1700
1800
1800
1900
1900
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
11. a. Does this person speak a language other than English at home?
[] Yes
[] No [go on to question 12]
11. b. What is this language?
____
(For example: Korean, Italian, Spanish, Vietnamese)
Not group quarters, not vacant units
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
42. Which fuel is used most for heating this house, apartment, or mobile home?
[] 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
Not group quarters, not vacant units
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 housing unit.
Utilities Variables -- HOUSEHOLD
IPUMS
Vehicles available
Vehicles available
Vehicles available
Vehicles available
Vehicles available
43. 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 or more
Not group quarters, not vacant units
No vehicles available
1
1 available
2
2
3
3
4
4
5
5
6
6+
9
NIU (not in universe)
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
Not vacant units
NIU (not in universe)
1
1 family or group quarters
2
2 families
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
18
18
19
19
21
21
22
22
23
23
25
25
27
27
30
30
48
48
Constructed variable that counts the number of families within each unit.
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
2
2
3
3
4
4
5
5
This variable indicates a constructed variable that counts 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
6
6
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
5
5
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 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
4
Allocated
This variable indicates the Data Quality for CONDOFEE (Monthly condominium fee).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for annual mobile home costs with loan payments
Flag for annual mobile home costs with loan payments
Flag for annual mobile home costs with loan payments
Flag for annual mobile home costs with loan payments
Flag for annual mobile home costs with loan payments
Flag for annual mobile home costs with loan payments
All households
Unaltered
4
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
4
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
4
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
4
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
4
Allocated, hot deck
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
4
Allocated
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
4
Allocated, hot deck
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
4
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
4
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
4
Allocated, hot deck
This variable is a data quality flag for COSTELEC (Yearly cost of electricity).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for mortgage status
Flag for mortgage status
Flag for mortgage status
Flag for mortgage status
Flag for mortgage status
Flag for mortgage status
All households
Unaltered case
4
Allocated
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
4
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
4
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
4
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
4
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
Flag for annual real estate taxes
Flag for annual real estate taxes
Flag for annual real estate taxes
Flag for annual real estate taxes
Flag for annual real estate taxes
All households
Unaltered case
4
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
Flag for sales of farm products
Flag for sales of farm products
Flag for sales of farm products
Flag for sales of farm products
Flag for sales of farm products
All households
Unaltered
4
Allocated
This variable is a data quality flag for FARMPROD (Sales of farm products).
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
4
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
4
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
4
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
4
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
4
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
Original entry or Inapplicable (not in universe)
4
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
4
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
4
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
4
Allocated
This variable is a data quality flag for ROOMS (Number of Rooms).
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
4
Allocated
This variable is a data quality flag for UNITSSTR (Units in structure).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Mobile home loan
Mobile home loan
Mobile home loan
Mobile home loan
Mobile home loan
47. Answer questions 47a-53 if you or someone in this household owns or is buying this house, apartment, or mobile home; otherwise, skip to questions for person 2.
53. Answer only if this is a mobile home -
53. a. Do you have an installment loan or contract on this mobile home?
[] Yes
[] No
Mobile home, owned or being bought
N/A
1
No
2
Yes
This variable indicates whether any member of the household has an installment loan or contract on the mobile home.
Household Economic 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
This variable is a data quality flag for Mortgage 2.
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
PUMA land area
PUMA land area
PUMA land area
PUMA land area
PUMA land area
PUMA land area
All households
This variable indicates the total land area in the PUMA (5 percent sample) or Super-PUMA (1 percent sample) in square meters.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
PUMA total area
PUMA total area
PUMA total area
PUMA total area
PUMA total area
PUMA total area
All households
This variable indicates the total area in the PUMA (5 percent sample) or Super-PUMA (1 percent sample) in square meters.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
PUMA type, 2000
PUMA type, 2000
PUMA type, 2000
PUMA type, 2000
PUMA type, 2000
PUMA type, 2000
All households
11
Inside central city
12
Outside central city
13
Both inside and outside central city
14
Contains an entire MSA and no other territory
21
Inside central city
22
Outside central city
23
Both inside and outside central city
31
Inside central city
32
Outside central city
33
Both inside and outside central city
34
Contains an entire PMSA and no other territory
41
Inside central city
42
Outside central city
43
Both inside and outside central city
44
Contains an entire PMSA and no other territory
51
Inside central city
52
Outside central city
53
Both inside and outside central city
70
Contains both metropolitan and non-metropolitan territory
80
Contains only metropolitan territory in 2 or more partial and/or entire MSAs/PMSAs/CMSAs
90
Contains only nonmetropolitan territory
This variable indicates PUMA type, 2000.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Flag for household augmentation (all household variables)
Flag for household augmentation (all household variables)
Flag for household augmentation (all household variables)
Flag for household augmentation (all household variables)
Flag for household augmentation (all household variables)
Flag for household augmentation (all household variables)
All households
Not augmented
4
Augmented
This variable is a data quality flag for household augmentation (all household variables).
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Flag for mobile home loan
Flag for mobile home loan
Flag for mobile home loan
Flag for mobile home loan
Flag for mobile home loan
Flag for mobile home loan
All households
Unaltered case
4
Allocated
This variable is a data quality flag for MOBLOAN.
Household Imputation Flags Variables -- HOUSEHOLD
IPUMS
Super Public Use Microdata Area
Super Public Use Microdata Area
Super Public Use Microdata Area
Super Public Use Microdata Area
Super Public Use Microdata Area
Super Public Use Microdata Area
All households
This variable indicates the Super-PUMA where the housing unit was located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Cluster
Cluster
Cluster
Cluster
Cluster
Cluster
All households
This variable indicates the CLUSTER. It is designed for use with STRATA in Taylor series approximation for correction of complex sample design characteristics.
Other Household Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
HHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
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
Strata
Strata
Strata
Strata
Strata
Strata
All households
STRATA is designed for use with CLUSTER in Taylor series linear approximation for correction of complex sample design characteristics.
Other Household Variables -- HOUSEHOLD
IPUMS
Strata identifier
Strata identifier
Strata identifier
Strata identifier
Strata identifier
This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.
Technical Household Variables -- HOUSEHOLD
IPUMS
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
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
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
Year of immigration
Year of immigration
Year of immigration
Year of immigration
Year of immigration
NIU (not in universe)
1872
1872
1879
1879
1880
1880
1881
1881
1882
1882
1883
1883
1884
1884
1885
1885
1886
1886
1887
1887
1888
1888
1889
1889
1890
1890
1891
1891
1892
1892
1893
1893
1894
1894
1895
1895
1896
1896
1897
1897
1898
1898
1899
1899
1900
1900
1901
1901
1902
1902
1903
1903
1904
1904
1905
1905
1906
1906
1907
1907
1908
1908
1909
1909
1910
1910
1911
1911
1912
1912
1913
1913
1914
1914
1915
1915
1916
1916
1917
1917
1918
1918
1919
1919
1920
1920
1921
1921
1922
1922
1923
1923
1924
1924
1925
1925
1926
1926
1927
1927
1928
1928
1929
1929
1930
1930
1931
1931
1932
1932
1933
1933
1934
1934
1935
1935
1936
1936
1937
1937
1938
1938
1939
1939
1940
1940
1941
1941
1942
1942
1943
1943
1944
1944
1945
1945
1946
1946
1947
1947
1948
1948
1949
1949
1950
1950
1951
1951
1952
1952
1953
1953
1954
1954
1955
1955
1956
1956
1957
1957
1958
1958
1959
1959
1960
1960
1961
1961
1962
1962
1963
1963
1964
1964
1965
1965
1966
1966
1967
1967
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1978
1978
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1988
1988
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
9998
In transit
9999
Unknown
YRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated.
Nativity and Birthplace Variables -- PERSON
IPUMS
Years since immigrated
Years since immigrated
Years since immigrated
Years since immigrated
Years since immigrated
0 (within previous year)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97+
98
Unknown
99
NIU (not in universe)
YRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration.
Nativity and Birthplace Variables -- PERSON
IPUMS
Years since immigrated, categorized
Years since immigrated, categorized
Years since immigrated, categorized
Years since immigrated, categorized
Years since immigrated, categorized
1
Less than 1 year
2
1 to 4 years
3
5 to 9 years
4
10 or more years
8
Unknown
9
NIU (not in universe)
YRSIMM2 indicates the number of years since a foreign-born person immigrated to the country. The number of years is grouped into intervals.
Nativity and Birthplace Variables -- PERSON
IPUMS
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
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
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
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
Year of birth
Year of birth
Year of birth
Year of birth
Year of birth
NIU (not in universe)
1843
1843
1845
1845
1850
1850
1853
1853
1854
1854
1856
1856
1858
1858
1859
1859
1860
1860
1861
1861
1862
1862
1863
1863
1864
1864
1865
1865
1866
1866
1867
1867
1868
1868
1869
1869
1870
1870
1871
1871
1872
1872
1873
1873
1874
1874
1875
1875
1876
1876
1877
1877
1878
1878
1879
1879
1880
1880
1881
1881
1882
1882
1883
1883
1884
1884
1885
1885
1886
1886
1887
1887
1888
1888
1889
1889
1890
1890
1891
1891
1892
1892
1893
1893
1894
1894
1895
1895
1896
1896
1897
1897
1898
1898
1899
1899
1900
1900
1901
1901
1902
1902
1903
1903
1904
1904
1905
1905
1906
1906
1907
1907
1908
1908
1909
1909
1910
1910
1911
1911
1912
1912
1913
1913
1914
1914
1915
1915
1916
1916
1917
1917
1918
1918
1919
1919
1920
1920
1921
1921
1922
1922
1923
1923
1924
1924
1925
1925
1926
1926
1927
1927
1928
1928
1929
1929
1930
1930
1931
1931
1932
1932
1933
1933
1934
1934
1935
1935
1936
1936
1937
1937
1938
1938
1939
1939
1940
1940
1941
1941
1942
1942
1943
1943
1944
1944
1945
1945
1946
1946
1947
1947
1948
1948
1949
1949
1950
1950
1951
1951
1952
1952
1953
1953
1954
1954
1955
1955
1956
1956
1957
1957
1958
1958
1959
1959
1960
1960
1961
1961
1962
1962
1963
1963
1964
1964
1965
1965
1966
1966
1967
1967
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1978
1978
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1988
1988
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
2012
2012
2013
2013
9999
Unknown
BIRTHYR gives the person's year of birth.
Demographic Variables -- PERSON
IPUMS
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
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
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
This variable indicates person number in the household.
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
20
20
22
22
30
30
38
38
46
46
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
This variable indicates whether a person's mother, was likely to have been the person's stepmother or adoptive mother.
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)
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
19
19
20
20
21
21
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)
7
Husband of mother becomes stepfather
This variable indicates 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
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)
6
Non-adjacent persons -- no age, other relative conflicts
This variable indicates the reason that 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 family member present
2
2 family members present
3
3 family members present
4
4 family members present
5
5 family members present
6
6 family members present
7
7 family members present
8
8 family members present
9
9 family members present
10
10 family members present
11
11 family members present
12
12 family members present
13
13 family members present
14
14 family members present
15
15 family members present
16
16 family members present
17
17 family members present
18
18 family members present
19
19 family members present
20
20 family members present
21
21 family members present
23
23 family members present
24
24 family members present
25
25 family members present
30
30 family members present
31
31 family members present
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
0 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
9
9+
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 household or group quarters
2
2 nd family in household or group quarters
3
3 rd
4
4 th
5
5 th
6
6 th
7
7 th
8
8 th
9
9 th
10
10 th
11
11 th
12
12 th
13
13 th
14
14 th
15
15 th
16
16 th
17
17 th
18
18 th
19
19 th
20
20 th
21
21 th
22
22 th
23
23 th
24
24 th
25
25 th
26
26 th
27
27 th
28
28 th
29
29 th
30
30 th
31
31 th
32
32 th
33
33 th
34
34 th
35
35 th
36
36 th
37
37 th
38
38 th
39
39 th
40
40 th
41
41 th
42
42 th
43
43 th
44
44 th
45
45 th
46
46 th
47
47 th
48
48 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
All persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
99
No own children present in household
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
All persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
99
No own children present in household
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
1
1 sibling
2
2 siblings
3
3 siblings
4
4 siblings
5
5 siblings
6
6 siblings
7
7 siblings
8
8 siblings
9
9+ siblings
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/householder
Relationship to household head/householder
Relationship to household head/householder
Relationship to household head/householder
Relationship to household head/householder
2. How is this person related to person 1? Mark [X] one box.
[] Husband/wife
[] Natural-born son/daughter
[] Adopted son/daughter
[] Stepson/stepdaughter
[] Brother/sister
[] Father/mother
[] Grandchild
[] Parent-in-law
[] Son-in-law/daughter-in-law
[] Other relative - Print exact relationship
____
If not related to person 1:
[] Roomer, boarder
[] Housemate, roommate
[] Unmarried partner
[] Foster child
[] Other nonrelative
All persons
101
Head/householder
201
Spouse
301
Biological Child
302
Adoptedchild
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
1114
Unmarried partner
1115
Housemate/roommate
1241
Roomer/boarders/lodgers
1242
Foster children
1260
Other non-relatives
1270
Non-inmate 1990 (includes military, students, employees, boarders)
1301
Institutional inmates
This variable indicates an individual's relationship to the head of household or householder.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
4. What is this person's age and what is this person's date of birth?
_ _ _ Age on April 1, 2000
Print numbers in boxes.
_ _ Month
_ _ Day
_ _ _ _ Year of birth
-- Note: Please answer both questions 5 and 6.
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
92
92
93
93
This variable indicates the age of the individual.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
3. What is this person's sex? Mark [X] one box.
[] Male
[] Female
All persons
1
Male
2
Female
This variable indicates the gender of the individual.
Demographic Variables -- PERSON
IPUMS
Race
Race
Race
Race
Race
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
All persons
100
White
200
Black/Negro
301
Alaskan Athabaskan
302
Apache
303
Blackfoot
304
Cherokee
305
Cheyenne
306
Chickasaw
307
Chippewa
308
Choctaw
309
Comanche
310
Creek
312
Iroquois
314
Lumbee
315
Navajo
319
Potawatomi
320
Pueblo
321
Seminole
323
Sioux
324
Tlingit (Tlingit-Haida, 2000, ACS)
325
Tohono O Odham
327
Tribe not specified
330
Aleut
340
Eskimo
351
Latin American Indian
352
Puget Sound Salish
354
Yaqui
390
Other American Indian tribe
391
Two or more American Indian tribes
392
Other Alaska Native tribe(s)
393
Both American Indian and Alaska Native
394
Tribal response(s), n.e.c.
400
Chinese
410
Taiwanese
420
Chinese and Taiwanese
500
Japanese
600
Filipino
610
Asian Indian (Hindu 1920 -1940)
620
Korean
630
Native Hawaiian
640
Vietnamese
660
Cambodian
661
Hmong
662
Laotian
663
Thai
664
Bangladeshi
666
Indonesian
667
Malaysian
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
682
Tongan
684
One or more other Polynesian races
685
Guamanian/Chamorro
689
One or more other Micronesian races
692
One or more Melanesian races
698
Two or more Pacific Islander races from multiple regions
699
Pacific Islander, n.s.
700
Other race, n.e.c.
801
White and Black
802
White and American Indian/Alaska Native
811
White and Chinese
812
White and Japanese
813
White and Filipino
814
White and Asian Indian
815
White and Korean
816
White and Vietnamese
817
White and Asian write-in
818
White and other Asian race(s)
821
White and Native Hawaiian
822
White and Samoan
823
White and Guamanian/Chamorro
824
White and Pacific Islander write-in
825
White and other Pacific Islander race(s)
826
White and other race write-in
830
Black and American Indian/Alaska Native
832
Black and Chinese
833
Black and Japanese
834
Black and Filipino
835
Black and Asian Indian
836
Black and Korean
837
Black and Asian write-in
838
Black and other Asian race(s)
841
Black and Pacific Islander write-in
842
Black and other Pacific Islander race(s)
845
Black and other race write-in
852
American Indian/Alaska Native and Asian Indian
854
American Indian/Alaska Native and other Asian race(s)
855
American Indian/Alaska Native and Pacific Islander
856
American Indian/Alaska Native and other race write-in
861
Chinese and Native Hawaiian
864
Filipino and Native Hawaiian
865
Filipino and Pacific Islander write-in
867
Asian write-in and Pacific Islander write-in
868
Other Asian race(s) and Pacific Islander race(s)
881
Chinese and other race write-in
883
Filipino and other race write-in
884
Asian Indian and other race write-in
885
Asian write-in and other race write-in
886
Other Asian race(s) and other race write-in
891
Pacific Islander write-in and other race write-in
892
Other Pacific Islander race(s) and other race write-in
901
White and Black and American Indian/Alaska Native
902
White and Black and Asian
903
White and Black and Pacific Islander
904
White and Black and other race write-in
905
White and American Indian/Alaska Native and Asian
906
White and American Indian/Alaska Native and Pacific Islander
907
White and American Indian/Alaska Native and other race write-in
911
White and Chinese and Native Hawaiian
914
White and Filipino and Native Hawaiian
915
Other White and Asian race(s) and Pacific Islander race(s)
920
White and Asian and other race write-in
925
White and Pacific Islander and other race write-in
930
Black and American Indian/Alaska Native and Asian
931
Black and American Indian/Alaska Native and Pacific Islander
932
Black and American Indian/Alaska Native and other race write-in
933
Black and Asian and Pacific Islander
934
Black and Asian and other race write-in
935
Black and Pacific Islander and other race write-in
940
American Indian/Alaska Native and Asian and Pacific Islander
941
American Indian/Alaska Native and Asian and other race write-in
942
American Indian/Alaska Native and Pacific Islander and other race write-in
943
Asian and Pacific Islander and other race write-in
950
White and Black and American Indian/Alaska Native and Asian
951
White and Black and American Indian/Alaska Native and Pacific Islander
952
White and Black and American Indian/Alaska Native and other race write-in
953
White and Black and Asian and Pacific Islander
954
White and Black and Asian and other race write-in
955
White and Black and Pacific Islander and other race write-in
960
White and American Indian/Alaska Native and Asian and Pacific Islander
961
White and American Indian/Alaska Native and Asian and other race write-in
962
White and American Indian/Alaska Native and Pacific Islander and other race write-in
963
White and Asian and Pacific Islander and other race write-in
970
Black and American Indian/Alaska Native and Asian and Pacific Islander
971
Black and American Indian/Alaska Native and Asian and other race write-in
972
Black and American Indian/Alaska Native and Pacific Islander and other race write-in
973
Black and Asian and Pacific Islander and other race write-in
974
American Indian/Alaska Native and Asian and Pacific Islander and other race write-in
980
White and Black and American Indian/Alaska Native and Asian and Pacific Islander
981
White and Black and American Indian/Alaska Native and Asian and other race write-in
982
White and Black and American Indian/Alaska Native and Pacific Islander and other race write-in
983
White and Black and Asian and Pacific Islander and other race write-in
984
White and American Indian/Alaska Native and Asian and Pacific Islander and other race write-in
985
Black and American Indian/Alaska Native and Asian and Pacific Islander and other race write-in
990
White and Black and American Indian/Alaska Native and Asian and Pacific Islander and other race write-in
This variable indicates the race of the individual.
Ethnicity and Language Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
7. What is this person's marital status?
[] Now married
[] Widowed
[] Divorced
[] Separated
[] 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
Birthplace
Birthplace
Birthplace
Birthplace
Birthplace
12. Where was this person born?
[] In the United States - Print name of state.
____
[] Outside the United States - Print name of foreign country, or Puerto Rico, Guam, etc.
____
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
15000
Canada
16010
Bermuda
16020
Cape Verde
20000
Mexico
21010
Belize/British Honduras
21020
Costa Rica
21030
El Salvador
21040
Guatemala
21050
Honduras
21060
Nicaragua
21070
Panama
25000
Cuba
26010
Dominican Republic
26020
Haiti
26030
Jamaica
26042
Antigua-Barbuda
26043
Bahamas
26044
Barbados
26054
Dominica
26055
Grenada
26057
St Kitts-Nevis
26058
St Lucia
26059
St Vincent
26060
Trinidad Tobago
26094
West Indies, n.s.
29999
Americas, n.s.
30005
Argentina
30010
Bolivia
30015
Brazil
30020
Chile
30025
Colombia
30030
Ecuador
30040
Guyana/British Guiana
30045
Paraguay
30050
Peru
30060
Uruguay
30065
Venezuela
30090
South America, n.s.
40000
Denmark
40100
Finland
40400
Norway
40500
Sweden
41000
England
41100
Scotland
41200
Wales
41300
United Kingdom, n.s.
41400
Ireland
41410
Northern Ireland
42000
Belgium
42100
France
42500
Netherlands
42600
Switzerland
43000
Albania
43300
Greece
43330
Macedonia
43400
Italy
43600
Portugal
43610
Azores
43800
Spain
45000
Austria
45100
Bulgaria
45200
Czechoslovakia
45212
Slovakia
45213
Czech Republic
45300
Germany
45400
Hungary
45500
Poland
45600
Romania
45700
Yugoslavia
45710
Croatia
45730
Serbia
45740
Bosnia
45790
Kosovo
46100
Latvia
46200
Lithuania
46500
Other USSR/ Russia
46510
Byelorussia
46520
Moldavia
46530
Ukraine
46540
Armenia
46541
Azerbaijan
46542
Georgia
46547
Uzbekistan
46590
USSR, n.s.
49900
Europe, n.s.
50000
China
50010
Hong Kong
50040
Taiwan
50100
Japan
50200
Korea
50220
South Korea
51100
Cambodia (Kampuchea)
51200
Indonesia
51300
Laos
51400
Malaysia
51500
Philippines
51600
Singapore
51700
Thailand
51800
Vietnam
51910
Indochina, n.s.
52000
Afghanistan
52100
India
52110
Bangladesh
52130
Burma (Myanmar)
52140
Pakistan
52150
Sri Lanka (Ceylon)
52200
Iran
52400
Nepal
53100
Cyprus
53200
Iraq
53400
Israel/Palestine
53500
Jordan
53600
Kuwait
53700
Lebanon
54000
Saudi Arabia
54100
Syria
54200
Turkey
54400
Yemen Arab Republic (North)
60011
Algeria
60012
Egypt/United Arab Rep
60014
Morocco
60015
Sudan
60023
Ghana
60027
Liberia
60031
Nigeria
60032
Senegal
60033
Sierra Leone
60044
Ethiopia
60045
Kenya
60053
Somalia
60054
Tanzania
60055
Uganda
60057
Zimbabwe
60065
Eritrea
60072
Cameroon
60094
South Africa (Union of)
60099
Africa, n.s./n.e.c.
70010
Australia
70020
New Zealand
71021
Fiji
71023
Tonga
71025
Western Samoa
71090
Oceania, n.s./n.e.c.
This variable indicates the birthplace of the individual.
Nativity and Birthplace Variables -- PERSON
IPUMS
Ancestry, first response
Ancestry, first response
Ancestry, first response
Ancestry, first response
Ancestry, first response
10. What is this person's ancestry or ethnic origin?
____
____
(For example: Italian, Jamaican, African Am., Cambodian, Cape Verdean, Norwegian, Dominican, French Canadian, Haitian, Korean, Lebanese, Polish, Nigerian, Mexican, Taiwanese, Ukrainian, and so on.)
All persons
10
Alsatian
30
Austrian
53
Basque
80
Belgian
90
Flemish
110
British
120
British Isles
200
Danish
210
Dutch
220
English
240
Finnish
261
French
321
German
322
Pennsylvania German
400
Prussian
460
Greek
490
Icelander
500
Irish
501
Celtic
511
Italian
680
Sicilian
770
Luxemburger
780
Maltese
820
Norwegian
840
Portuguese
870
Scotch Irish
880
Scottish
890
Swedish
910
Swiss
970
Welsh
980
Scandinavian, Nordic
1000
Albanian
1020
Belorussian
1030
Bulgarian
1090
Croatian
1110
Czechoslovakian
1111
Czech
1121
Bohemian
1150
Estonian
1222
Germans from Russia
1240
Rom
1250
Hungarian
1280
Latvian
1290
Lithuanian
1300
Macedonian
1420
Polish
1440
Romanian
1480
Russian
1521
Serbian
1522
Bosnian, Herzegovian
1530
Slovak
1540
Slovene
1711
Ukrainian
1760
Yugoslavian
1780
Slav
1830
Northern European, n.e.c.
1870
Western European, n.e.c.
1900
Eastern European, n.e.c.
1950
European, n.e.c.
2001
Spaniard
2101
Mexican
2102
Mexicano/Mexicana
2110
Mexican American
2111
Mexican American Indian
2130
Chicano/Chicana
2183
Mexican State
2210
Costa Rican
2220
Guatemalan
2230
Honduran
2240
Nicaraguan
2251
Panamanian
2260
Salvadoran
2271
Central American
2272
Latin American
2273
Latino/Latina
2274
Latin
2310
Argentinean
2320
Bolivian
2330
Chilean
2340
Colombian
2350
Ecuadorian
2370
Peruvian
2380
Uruguayan
2390
Venezuelan
2481
South American
2610
Puerto Rican
2710
Cuban
2750
Dominican
2900
Hispanic
2910
Spanish
2950
Spanish American
3000
Bahamian
3010
Barbadian
3020
Belizean
3080
Jamaican
3100
Dutch West Indies
3150
Trinidadian
3212
Antigua
3245
St. Vincent Islander
3290
Grenadian
3310
St Lucia Islander
3350
West Indian
3360
Haitian
3600
Brazilian
3700
Guyanese/British Guiana
4020
Egyptian
4060
Moroccan
4160
Iranian
4170
Iraqi
4190
Israeli
4210
Jordanian
4250
Lebanese
4290
Syrian
4310
Armenian
4340
Turkish
4350
Yemeni
4650
Palestinian
4821
Assyrian
4823
Chaldean
4900
Middle Eastern
4950
Arab
4951
Arabic
5100
Cape Verdean
5220
Ethiopian
5230
Eritrean
5290
Ghanian
5340
Kenyan
5410
Liberian
5530
Nigerian
5660
Sierra Leonean
5680
Somalian
5700
South African
5760
Sudanese
5990
African
6000
Afghan
6031
Bangladeshi
6032
Bengali
6090
Nepali
6151
India
6152
East Indian
6500
Punjabi
6801
Pakistani
6802
Kashmiri
6900
Sri Lankan
7000
Burmese
7030
Cambodian
7060
Chinese
7071
Cantonese
7160
Hong Kong
7200
Filipino
7301
Indonesian
7401
Japanese
7480
Okinawan
7500
Korean
7650
Laotian
7680
Hmong
7701
Malaysian
7760
Thai
7820
Taiwanese
7850
Vietnamese
7930
Eurasian
7950
Asian
8000
Australian
8030
New Zealander
8080
Polynesian
8110
Hawaiian
8140
Samoan
8150
Tongan
8210
Guamanian
8220
Chamorro Islander
8410
Fijian
8500
Pacific Islander
9001
Afro-American
9002
Black
9003
Negro
9006
Creole
9008
Afro
9020
African-American
9130
Central American Indian
9140
South American Indian
9200
American Indian (all tribes)
9205
Cherokee
9206
Native American
9207
Indian
9210
Aleut
9220
Eskimo
9241
White/Caucasian
9242
Anglo
9243
Appalachian
9310
Canadian
9350
French Canadian
9361
Acadain
9362
Cajun
9390
American
9400
United States
9940
North American
9950
Mixture
9960
Uncodable
9970
Unknown
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
10. What is this person's ancestry or ethnic origin?
____
____
(For example: Italian, Jamaican, African Am., Cambodian, Cape Verdean, Norwegian, Dominican, French Canadian, Haitian, Korean, Lebanese, Polish, Nigerian, Mexican, Taiwanese, Ukrainian, and so on.)
All persons
10
Alsatian
30
Austrian
53
Basque
80
Belgian
90
Flemish
110
British
120
British Isles
200
Danish
210
Dutch
220
English
240
Finnish
261
French
321
German
322
Pennsylvania German
400
Prussian
460
Greek
490
Icelander
500
Irish
501
Celtic
511
Italian
680
Sicilian
770
Luxemburger
780
Maltese
820
Norwegian
840
Portuguese
870
Scotch Irish
880
Scottish
890
Swedish
910
Swiss
970
Welsh
980
Scandinavian, Nordic
1000
Albanian
1020
Belorussian
1030
Bulgarian
1090
Croatian
1110
Czechoslovakian
1111
Czech
1121
Bohemian
1150
Estonian
1222
Germans from Russia
1240
Rom
1250
Hungarian
1280
Latvian
1290
Lithuanian
1300
Macedonian
1420
Polish
1440
Romanian
1480
Russian
1521
Serbian
1522
Bosnian
1530
Slovak
1540
Slovene
1711
Ukrainian
1760
Yugoslavian
1780
Slav
1830
Northern European, n.e.c.
1870
Western European, n.e.c.
1900
Eastern European, n.e.c.
1950
European, n.e.c.
2001
Spaniard
2101
Mexican
2102
Mexicano/Mexicana
2110
Mexican American
2111
Mexican American Indian
2130
Chicano/Chicana
2183
Mexican State
2210
Costa Rican
2220
Guatemalan
2230
Honduran
2240
Nicaraguan
2251
Panamanian
2260
Salvadoran
2271
Central American
2272
Latin American
2273
Latino/Latina
2274
Latin
2310
Argentinean
2320
Bolivian
2330
Chilean
2340
Colombian
2350
Ecuadorian
2370
Peruvian
2380
Uruguayan
2390
Venezuelan
2481
South American
2610
Puerto Rican
2710
Cuban
2750
Dominican
2900
Hispanic
2910
Spanish
2950
Spanish American
3000
Bahamian
3010
Barbadian
3020
Belizean
3080
Jamaican
3100
Dutch West Indies
3150
Trinidadian
3212
Antigua
3245
St. Vincent Islander
3290
Grenadian
3310
St Lucia Islander
3350
West Indian
3360
Haitian
3600
Brazilian
3700
Guyanese/British Guiana
4020
Egyptian
4060
Moroccan
4160
Iranian
4170
Iraqi
4190
Israeli
4210
Jordanian
4250
Lebanese
4290
Syrian
4310
Armenian
4340
Turkish
4350
Yemeni
4650
Palestinian
4821
Assyrian
4823
Chaldean
4900
Middle Eastern
4950
Arab
4951
Arabic
5100
Cape Verdean
5220
Ethiopian
5230
Eritrean
5290
Ghanian
5340
Kenyan
5410
Liberian
5530
Nigerian
5660
Sierra Leonean
5680
Somalian
5700
South African
5760
Sudanese
5990
African
6000
Afghan
6031
Bangladeshi
6032
Bengali
6090
Nepali
6151
India
6152
East Indian
6500
Punjabi
6801
Pakistani
6802
Kashmiri
6900
Sri Lankan
7000
Burmese
7030
Cambodian
7060
Chinese
7071
Cantonese
7160
Hong Kong
7200
Filipino
7301
Indonesian
7401
Japanese
7480
Okinawan
7500
Korean
7650
Laotian
7680
Hmong
7701
Malaysian
7760
Thai
7820
Taiwanese
7850
Vietnamese
7930
Eurasian
7950
Asian
8000
Australian
8030
New Zealander
8080
Polynesian
8110
Hawaiian
8140
Samoan
8150
Tongan
8210
Guamanian
8220
Chamorro Islander
8410
Fijian
8500
Pacific Islander
9001
Afro-American
9002
Black
9003
Negro
9006
Creole
9008
Afro
9020
African-American
9130
Central American Indian
9140
South American Indian
9200
American Indian (all tribes)
9205
Cherokee
9206
Native American
9207
Indian
9210
Aleut
9220
Eskimo
9310
Canadian
9350
French Canadian
9361
Acadain
9362
Cajun
9970
Deferred Cases
9990
Not Reported
This variable indicates the respondent's second response to self-reported ancestry or ethnic origin.
Ethnicity and Language Variables -- PERSON
IPUMS
Citizenship status
Citizenship status
Citizenship status
Citizenship status
Citizenship status
13. Is this person a citizen of the United States?
[] Yes, born in the United States [Go on to question 15a]
[] Yes, born in Puerto Rico, Guam, the U.S. Virgin Islands, or Northern Marianas
[] Yes, born abroad of American parent or parents
[] Yes, a U.S. citizen by naturalization
[] No, not a citizen of the United States
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.
Nativity and Birthplace Variables -- PERSON
IPUMS
Hispanic origin
Hispanic origin
Hispanic origin
Hispanic origin
Hispanic origin
5. Is this person Spanish/Hispanic/Latino? Mark [X] the "no" box if not Spanish/Hispanic/Latino.
[] No, not Spanish/Hispanic/Latino
[] Yes, Mexican, Mexican Am., Chicano
[] Yes, Puerto Rican
[] Yes, Cuban
[] Yes, other Spanish/Hispanic/Latino - Print group.
____
____
Persons of Hispanic origin
NIU (not in universe)
100
Mexican
200
Puerto Rican
300
Cuban
411
Costa Rican
412
Guatemalan
413
Honduran
414
Nicaraguan
415
Panamanian
416
Salvadoran
417
Central American
420
Argentinean
421
Bolivian
422
Chilean
423
Colombian
424
Ecuadorian
426
Peruvian
427
Uruguayan
428
Venezuelan
431
South American
450
Spaniard
460
Dominican
497
Other Spanish, Hispanic, Latino
This variable indicates 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
14. When did this person come to live in the United States? Print numbers in boxes.
_ _ _ _ Year
Foreign-born persons and persons born in US outlying areas
NIU (not in universe)
1
2000
910
1910 or earlier
911
1911 -1914
915
1915-1919
920
1920
921
1921
922
1922
923
1923
924
1924
925
1925
926
1926
927
1927
928
1928
929
1929
930
1930-1934
935
1935
936
1936
937
1937
938
1938
939
1939
940
1940
941
1941
942
1942
943
1943
944
1944
945
1945
946
1946
947
1947
948
1948
949
Before 1950
950
1950
951
1951
952
1952
953
1953
954
1954
955
1955
956
1956
957
1957
958
1958
959
1959
960
1960
961
1961
962
1962
963
1963
964
1964
965
1965
966
1966
967
1967
968
1968
969
1969
970
1970
971
1971
972
1972
973
1973
974
1974
975
1975
976
1976
977
1977
978
1978
979
1979
980
1980
981
1981
982
1982
983
1983
984
1984
985
1985
986
1986
987
1987
988
1988
989
1989
990
1990
991
1991
992
1992
993
1993
994
1994
995
1995
996
1996
997
1997
998
1998
999
1999
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
14. When did this person come to live in the United States? Print numbers in boxes.
_ _ _ _ Year
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 had been living in the United States.
Nativity and Birthplace Variables -- PERSON
IPUMS
Language spoken
Language spoken
Language spoken
Language spoken
Language spoken
11. a. Does this person speak a language other than English at home?
[] Yes
[] No [go on to question 12]
11. b. What is this language?
____
(For example: Korean, Italian, Spanish, Vietnamese)
Persons age 5+
NIU
100
English
110
Jamaican Creole
200
German
240
Pennsylvania Dutch
300
Yiddish, Jewish
410
Dutch, Flemish, Belgian
420
Afrikaans
500
Swedish
600
Danish
700
Norwegian
800
Icelandic
1000
Italian
1110
French, Walloon
1130
Patois
1140
French or Haitian Creole
1150
Cajun
1200
Spanish
1300
Portuguese
1400
Rumanian
1540
Irish Gaelic, Gaelic
1600
Greek
1700
Albanian
1810
Russian, Great Russian
1900
Ukrainian, Ruthenian, Little Russian
2000
Czech
2100
Polish
2200
Slovak
2300
Serbo-Croatian, Yugoslavian, Slavonian
2310
Croatian
2320
Serbian
2500
Lithuanian
2510
Lettish
2610
Bulgarian
2630
Macedonian
2800
Armenian
2900
Persian, Iranian, Farssi
3020
Kurdish
3101
Hindi, Hindustani, Indic, Jaipuri, Pali, Urdu
3111
Sanskrit
3112
Bengali
3113
Panjabi
3114
Marathi
3115
Gujarathi
3123
Sinhalese
3130
Kannada
3150
Pakistan n e c
3300
Finnish
3400
Magyar, Hungarian
3600
Turkish
4003
Telugu
4004
Malayalam
4005
Tamil
4010
Bhili
4011
Nepali
4301
Chinese, Cantonese, Min, Yueh
4303
Mandarin
4313
Hsiang, Chansa, Hunan, Iyan
4410
Miao-Yao
4420
Miao, Hmong
4500
Burmese, Lisu, Lolo
4700
Thai, Siamese, Lao
4800
Japanese
4900
Korean
5000
Vietnamese
5110
Ainu
5120
Mon-Khmer, Cambodian
5200
Indonesian
5270
Malay
5310
Formosan, Taiwanese
5400
Filipino, Tagalog
5410
Bisayan
5440
Llocano, Hocano
5503
Chamorro, Guamanian
5522
Samoan
5523
Tongan
5600
Hawaiian
5700
Arabic
5810
Syriac, Aramaic, Chaldean
5900
Hebrew, Israeli
6000
Amharic, Ethiopian, etc.
6130
Cushite, Beja, Somali
6307
Bantu (many subheads)
6308
Swahili
6309
Mande
6310
Fulani
6312
Kru
6400
African, n.s.
7160
Yupik
7200
Algonquian
7420
Apache
7500
Navajo
8104
Dakota, Lakota, Nakota, Sioux
8220
Choctaw, Chickasaw
8300
Keres
8480
Cherokee
9601
Other n. e. c.
This variable indicates the language that the respondent spoke at home.
Ethnicity and Language Variables -- PERSON
IPUMS
Speaks English
Speaks English
Speaks English
Speaks English
Speaks English
11. c. How well does this person speak English?
[] Very well
[] Well
[] Not well
[] Not at all
Persons of age 5 or older
NIU (not in universe)
1
Does not speak English
3
Yes, speaks only English
4
Yes, speaks very well
5
Yes, speaks well
6
Yes, but not well
This variable indicates whether the individual could speak English.
Ethnicity and Language Variables -- PERSON
IPUMS
School attendance
School attendance
School attendance
School attendance
School attendance
8. a. At any time since February 1, 2000, has this person attended regular school or college?
Include only nursery school or preschool, kindergarten, elementary school, and schooling which leads to a high school diploma or a college degree.
[] No, has not attended since February 1 [go on to question 9]
[] Yes, public school, public college
[] Yes, private school, private college
Persons of age 3 or older
NIU (not in universe)
1
No, not in school
2
Yes, in school
This variable indicates whether the respondent attended school during the census period.
Education Variables -- PERSON
IPUMS
Educational attainment
Educational attainment
Educational attainment
Educational attainment
Educational attainment
9. What is the highest degree or level of school this person has "completed"? Mark [X] one box. If currently enrolled, mark the previous grade or highest degree received.
[] No schooling completed
[] Nursery school to 4th grade
[] 5th grade or 6th grade 7th grade 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 credit, but less than 1 year
[] 1 or more years of college, no degree
[] Associate degree (for example: AA, AS)
[] Bachelor's degree (for example: BA, AB, BS)
[] Master's degree (for example: MA, MS, MEng, MEd, MSW, MBA)
[] Professional degree (for example: MD, DDS, DVM, LLB, JD)
[] Doctorate degree (for example: PhD, EdD)
Persons of age 3 or older
NIU (not in universe)
1
No school completed
4
Nursery-4th grade
5
5th-8th grade
6
9th grade
7
10th grade
8
11th grade
9
12th grade, no diploma
10
High school graduate, or GED
11
Some college, no degree
12
Associate degree, occupational 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
9. What is the highest degree or level of school this person has "completed"? Mark [X] one box. If currently enrolled, mark the previous grade or highest degree received.
[] No schooling completed
[] Nursery school to 4th grade
[] 5th grade or 6th grade 7th grade 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 credit, but less than 1 year
[] 1 or more years of college, no degree
[] Associate degree (for example: AA, AS)
[] Bachelor's degree (for example: BA, AB, BS)
[] Master's degree (for example: MA, MS, MEng, MEd, MSW, MBA)
[] Professional degree (for example: MD, DDS, DVM, LLB, JD)
[] Doctorate degree (for example: PhD, EdD)
Persons age 3 or older
NIU (not in universe)
1
None
2
Nursery-4th grade
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 is a recoded combination of two separate IPUMS variables that measure educational attainment.
Education Variables -- PERSON
IPUMS
Public or private school
Public or private school
Public or private school
Public or private school
Public or private school
8. a. At any time since February 1, 2000, has this person attended regular school or college?
Include only nursery school or preschool, kindergarten, elementary school, and schooling which leads to a high school diploma or a college degree.
[] No, has not attended since February 1 [go on to question 9]
[] Yes, public school, public college
[] Yes, private school, private college
Persons age 3 or older
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. a. Has this person ever served on active duty in the U.S. Armed Forces, military Reserves, or National Guard? Active duty does not include training for the Reserves or National Guard, but DOES include activation, for example, for the Persian Gulf War.
[] Yes, now on active duty
[] Yes, on active duty in past, but not now
[] No, training for Reserves or National Guard only [Go on to question 21]
[] No, never served in the military [Go on to question 21]
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
21. Last week, did this person do any work for either pay or profit? Mark [X] the "yes" box even if the person worked only 1 hour, or helped without pay in a family business or farm for 15 hours or more, or was on active duty in the Armed Forces.
[] Yes
[] No [Go on to question 25a]
25. a. Last week, was this person on layoff from a job?
[] Yes [Go on to question 25c]
[] No
25. b. Last week, was this person temporarily absent from a job or business?
[] Yes, on vacation, temporary illness, labor dispute, etc. [Go on to question 26]
[] No [Go on to question 25d]
25. c. Has this person been informed that he or she will be recalled to work within the next 6 months or been given a date to return to work?
[] Yes [Go on to question 25e]
[] No
25. d. Has this person been looking for work during the last 4 weeks?
[] Yes
[] No [Go on to question 26]
25. e. Last week, could this person have started a job if offered one, or returned to work if recalled?
[] Yes, could have gone to work
[] No, because of own temporary illness
[] No, because of all other reasons (in school, etc.)
Persons age 16 and older
NIU (not in universe)
10
At work
12
Has job, not working
14
Armed forces--at work
15
Armed forces--with job but not at work
20
Unemployed
30
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
21. Last week, did this person do any work for either pay or profit? Mark [X] the "yes" box even if the person worked only 1 hour, or helped without pay in a family business or farm for 15 hours or more, or was on active duty in the Armed Forces.
[] Yes
[] No [Go on to question 25a]
Persons age 16 and older
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
28. Occupation
28. a. What kind of work was this person doing? (For example: registered nurse, personnel manager, supervisor of order department, auto mechanic, accountant)
____
____
____
Persons age 16+ who had worked within the previous five years; not new workers
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
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
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
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.)
300
Agents (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
420
Demonstrators
430
Hucksters and peddlers
450
Insurance agents and brokers
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
530
Glaziers
531
Heat treaters, annealers, temperers
533
Inspectors (n e c )
534
Jewelers, watchmakers, goldsmiths, and silversm
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
553
Mechanics and repairmen, railroad and car shop
554
Mechanics and repairmen (n e c )
560
Millwrights
562
Motion picture projectionists
564
Painters, construction and maintenance
565
Paperhangers
570
Pattern and model makers, except paper
573
Plasterers
574
Plumbers and pipe fitters
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
594
Craftsmen and kindred workers (n e c )
595
Members of the armed services
620
Asbestos and insulation workers
621
Attendants, auto service and parking
622
Blasters and powdermen
624
Brakemen, railroad
625
Bus drivers
634
Dyers
635
Filers, grinders, and polishers, metal
640
Fruit, nut, and vegetable graders, and packers,
641
Furnacemen, smeltermen and pourers
643
Laundry and dry cleaning operatives
644
Meat cutters, except slaughter and packing hous
650
Mine operatives and laborers
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
680
Stationary firemen
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 )
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
754
Cooks, except private household
760
Counter and fountain workers
762
Firemen, fire protection
763
Guards, watchmen, and doorkeepers
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.c)
820
Farm laborers, wage workers
910
Fishermen and oystermen
930
Gardeners, except farm, and groundskeepers
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 for occupational data, of the individual.
Work: Occupation Variables -- PERSON
IPUMS
Occupation
Occupation
Occupation
Occupation
Occupation
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
28. Occupation
28. a. What kind of work was this person doing? (For example: registered nurse, personnel manager, supervisor of order department, auto mechanic, accountant)
____
____
____
Persons age 16+ who worked in the last five years; and persons seeking work who last worked more than 5 years ago
NIU (not in universe)
1
Chief executives
2
General and operations managers
3
Legislators
4
Advertising and promotions managers
5
Marketing and sales managers
6
Public relations managers
10
Administrative services managers
11
Computer and information systems managers
12
Financial managers
13
Human resources managers
14
Industrial production managers
15
Purchasing managers
16
Transportation, storage, and distribution managers
20
Farm, ranch, and other agricultural managers
21
Farmers and ranchers
22
Construction managers
23
Education administrator
30
Engineering managers
31
Food service managers
32
Funeral directors
33
Gaming managers
34
Lodging managers
35
Medical and health services managers
36
Natural sciences managers
40
Postmasters and mail superintendents
41
Property, real estate, and community association managers
42
Social and community service managers
43
Managers, all other
50
Agents and business managers of artists, performers, and athletes
51
Purchasing agents and buyers, farm products
52
Wholesale and retail buyers, except farm products
53
Purchasing agents, except wholesale, retail, and farm products
54
Claims adjusters, appraisers, examiners, and investigators
56
Compliance officers, except agriculture, construction, health and safety, and transportation
60
Cost estimators
62
Human resources, training, and labor relations specialists
70
Logisticians
71
Management analysts
72
Meeting and convention planners
73
Other business operations specialists
80
Accountants and auditors
81
Appraisers and assessors of real estate
82
Budget analysts
83
Credit analysts
84
Financial analysts
85
Personal financial advisors
86
Insurance underwriters
90
Financial examiners
91
Loan counselors and officers
93
Tax examiners, collectors, and revenue agents
94
Tax preparers
95
Financial specialists, all other
100
Computer scientists and systems analysts
101
Computer programmers
102
Computer software engineers
104
Computer support specialists
106
Database administrators
110
Network and computer systems administrators
111
Network systems and data communication analysts
120
Actuaries
122
Operations research analysts
124
Miscellaneous mathematical science occupations, including mathematicians and statisticians
130
Architects, except naval
131
Surveyors, cartographers, and photogrammetrists
132
Aerospace engineers
135
Chemical engineers
136
Civil engineers
140
Computer hardware engineers
141
Electrical and electronics engineers
142
Environmental engineers
143
Industrial engineers, including health and safety
144
Marine engineers
145
Materials engineers
146
Mechanical engineers
151
Nuclear engineers
152
Petroleum, mining and geological engineers, including mining safety engineers
153
Miscellaneous engineers, including agricultural and biomedical
154
Drafters
155
Engineering technicians, except drafters
156
Surveying and mapping technicians
160
Agricultural and food scientists
161
Biological scientists
164
Conservation scientists and foresters
165
Medical scientists
170
Astronomers and physicists
171
Atmospheric and space scientists
172
Chemists and materials scientists
174
Environmental scientists and geoscientists
176
Physical scientists, all other
180
Economists
181
Market and survey researchers
182
Psychologists
184
Urban and regional planners
186
Miscellaneous social scientists, including sociologists
190
Agricultural and food science technicians
191
Biological technicians
192
Chemical technicians
193
Geological and petroleum technicians
196
Miscellaneous life, physical, and social science technicians, including social science research assistants and nuclear technicians
200
Counselors
201
Social workers
202
Miscellaneous community and social service specialists
204
Clergy
205
Directors, religious activities and education
206
Religious workers, all other
210
Lawyers
211
Judges, magistrates, and other judicial workers
214
Paralegals and legal assistants
215
Miscellaneous legal support workers
220
Postsecondary teachers
230
Preschool and kindergarten teachers
231
Elementary and middle school teachers
232
Secondary school teachers
233
Special education teachers
234
Other teachers and instructors
240
Archivists, curators, and museum technicians
243
Librarians
244
Library technicians
254
Teacher assistants
255
Other education, training, and library workers
260
Artists and related workers
263
Designers
270
Actors
271
Producers and directors
272
Athletes, coaches, umpires, and related workers
274
Dancers and choreographers
275
Musicians, singers, and related workers
276
Entertainers and performers, sports and related workers, all other
280
Announcers
281
News analysts, reporters, and correspondents
282
Public relations specialists
283
Editors
284
Technical writers
285
Writers and authors
286
Miscellaneous media and communications workers
290
Broadcast and sound engineering technicians and radio operators and other media and communication equipment workers
291
Photographers
292
Television, video, and motion picture camera operators and editors
300
Chiropractors
301
Dentists
302
Not used
303
Dietitians and nutritionists
304
Optometrists
305
Pharmacists
306
Physicians and surgeons
311
Physician assistants
312
Podiatrists
313
Registered nurses
314
Audiologists
315
Occupational therapists
316
Physical therapists
320
Radiation therapists
321
Recreational therapists
322
Respiratory therapists
323
Speech-language pathologists
324
Therapists, all other
325
Veterinarians
326
Health diagnosing and treating practitioners, all other
330
Clinical laboratory technologists and technicians
331
Dental hygienists
332
Diagnostic related technologists and technicians
340
Emergency medical technicians and paramedics
341
Health diagnosing and treating practitioner support technicians
350
Licensed practical and licensed vocational nurses
351
Medical records and health information technicians
352
Opticians, dispensing
353
Miscellaneous health technologists and technicians
354
Other healthcare practitioners and technical occupations
360
Nursing, psychiatric, and home health aides
361
Occupational therapist assistants and aides
362
Physical therapist assistants and aides
363
Massage therapists
364
Dental assistants
365
Medical assistants and other healthcare support occupations
370
First-line supervisors/managers of correctional officers
371
First-line supervisors/managers of police and detectives
372
First-line supervisors/managers of fire fighting and preventions workers
373
Supervisors, protective service workers, all other
374
Fire fighters
375
Fire inspectors
380
Bailiffs, correctional officers, and jailers
382
Detectives and criminal investigators
384
Miscellaneous law enforcement workers
385
Police officers
390
Animal control workers
391
Private detectives and investigators
392
Security guards and gaming surveillance officers
394
Crossing guards
395
Lifeguards and other protective service workers
400
Chefs and head cooks
401
First-line supervisors/managers of food preparation and serving workers
402
Cooks
403
Food preparation workers
404
Bartenders
405
Combined food preparation and serving workers, including fast food
406
Counter attendants, cafeteria, food concession, and coffee shop
411
Waiters and waitresses
412
Food servers, nonrestaurant
413
Dining room and cafeteria attendants, bartender helpers, and miscellaneous food preparation and serving related workers
414
Dishwashers
415
Hosts and hostesses, restaurant, lounge, and coffee shop
420
First-line supervisors/managers of housekeeping and janitorial workers
421
First-line supervisors/managers of landscaping, lawn service, and groundskeeping workers
422
Janitors and building cleaners
423
Maids and housekeeping cleaners
424
Pest control workers
425
Grounds maintenance workers
430
First-line supervisors/managers of gaming workers
432
First-line supervisors/managers of personal service workers
434
Animal trainers
435
Nonfarm animal caretakers
440
Gaming services workers
441
Motion picture projectionists
442
Ushers, lobby attendants, and ticket takers
443
Miscellaneous entertainment attendants and related workers
446
Funeral service workers
450
Barbers
451
Hairdressers, hairstylists, and cosmetologists
452
Miscellaneous personal appearance workers
453
Baggage porters, bellhops, and concierges
454
Tour and travel guides
455
Transportation attendants
460
Child care workers
461
Personal and home care aides
462
Recreation and fitness workers
464
Residential advisors
465
Personal care and service workers, all other
470
First-line supervisors/managers of retail sales workers
471
First-line supervisors/managers of non-retail sales workers
472
Cashiers
474
Counter and rental clerks
475
Parts salespersons
476
Retail salespersons
480
Advertising sales agents
481
Insurance sales agents
482
Securities, commodities, and financial services sales agents
483
Travel agents
484
Sales representatives, services, all other
485
Sales representatives, wholesale and manufacturing
490
Models, demonstrators, and product promoters
492
Real estate brokers and sales agents
493
Sales engineers
494
Telemarketers
495
Door-to-door sales workers, news and street vendors, and related workers
496
Sales and related workers, all other
500
First-line supervisors/managers of office and administrative support workers
501
Switchboard operators, including answering service
502
Telephone operators
503
Communications equipment operators, all other
510
Bill and account collectors
511
Billing and posting clerks and machine operators
512
Bookkeeping, accounting, and auditing clerks
513
Gaming cage workers
514
Payroll and timekeeping clerks
515
Procurement clerks
516
Tellers
520
Brokerage clerks
522
Court, municipal, and license clerks
523
Credit authorizers, checkers, and clerks
524
Customer service representatives
525
Eligibility interviewers, government programs
526
File clerks
530
Hotel, motel, and resort desk clerks
531
Interviewers, except eligibility and loan
532
Library assistants, clerical
533
Loan interviewers and clerks
534
New accounts clerks
535
Correspondence clerks and order clerks
536
Human resources assistants, except payroll and timekeeping
540
Receptionists and information clerks
541
Reservation and transportation ticket agents and travel clerks
542
Information and record clerks, all other
550
Cargo and freight agents
551
Couriers and messengers
552
Dispatchers
553
Meter readers, utilities
554
Postal service clerks
555
Postal service mail carriers
556
Postal service mail sorters, processors, and processing machine operators
560
Production, planning and expediting clerks
561
Shipping, receiving, and traffic clerks
562
Stock clerks and order filers
563
Weighers, measurers, checkers, and samplers, record keeping
570
Secretaries and administrative assistants
580
Computer operators
581
Data entry keyers
582
Word processors and typists
583
Desktop publishers
584
Insurance claims and policy processing clerks
585
Mail clerks and mail machine operators, except postal service
586
Office clerks, general
590
Office machine operators, except computer
591
Proofreaders and copy markers
592
Statistical assistants
593
Office and administrative support workers, all other
600
First-line supervisors/managers of farming, fishing, and forestry workers
601
Agricultural inspectors
604
Graders and sorters, agricultural products
605
Miscellaneous agricultural workers, including animal breeders
610
Fishing and hunting workers
612
Forest and conservation workers
613
Logging workers
620
First-line supervisors/managers of construction trades and extraction workers
621
Boilermakers
622
Brickmasons, blockmasons, and stonemasons
623
Carpenters
624
Carpet, floor, and tile installers and finishers
625
Cement masons, concrete finishers, and terrazzo workers
626
Construction laborers
630
Paving, surfacing, and tamping equipment operators
632
Miscellaneous construction equipment operators
633
Drywall installers, ceiling tile installers, and tapers
635
Electricians
636
Glaziers
640
Insulation workers
642
Painters, construction and maintenance
643
Paperhangers
644
Pipelayers, plumbers, pipefitters, and steamfitters
646
Plasterers and stucco masons
651
Roofers
652
Sheet metal workers
653
Iron and steel workers
660
Helpers, construction trades
666
Construction and building inspectors
670
Elevator installers and repairers
671
Fence erectors
672
Hazardous materials
673
Highway maintenance workers
674
Rail-track laying and maintenance equipment operators
675
Septic tank servicers and sewer pipe cleaners
676
Miscellaneous construction and related workers
680
Derrick, rotary drill, and service unit operators, and roustabouts, oil, gas, and mining
682
Earth drillers, except oil and gas
683
Explosives workers, ordnance handling experts, and blasters
684
Mining machine operators
694
Miscellaneous extraction workers, including roof bolters and helpers
700
First-line supervisors/managers of mechanics, installers, and repairers
701
Computer, automated teller, and office machine repairers
702
Radio and telecommunications equipment installers and repairers
703
Avionics technicians
704
Electric motor, power tool, and related repairers
710
Electrical and electronics repairers, industrial, utility, and transportation equipment
711
Electronic equipment installers and repairers, motor vehicles
712
Electronic home entertainment equipment installers and repairers
713
Security and fire alarm systems installers
714
Aircraft mechanics and service technicians
715
Automotive body and related repairers
716
Automotive glass installers and repairers
720
Automotive service technicians and mechanics
721
Bus and truck mechanics and diesel engine specialists
722
Heavy vehicle and mobile equipment service technicians and mechanics
724
Small engine mechanics
726
Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
730
Control and valve installers and repairers
731
Heating, air conditioning, and refrigeration mechanics and installers
732
Home appliance repairers
733
Industrial and refractory machinery mechanics
734
Maintenance and repair workers, general
735
Maintenance workers, machinery
736
Millwrights
741
Electrical power-line installers and repairers
742
Telecommunications line installers and repairers
743
Precision instrument and equipment repairers
751
Coin, vending, and amusement machine servicers and repairers
754
Locksmiths and safe repairers
755
Manufactured building and mobile home installers
756
Riggers
761
Helpers--installation, maintenance, and repair workers
762
Other installation, maintenance, and repair workers, including commercial drivers and signal and track switch repairers
770
First-line supervisors/managers of production and operating workers
771
Aircraft structure, surfaces, rigging, and systems assemblers
772
Electrical, electronics, and electromechanical assemblers
773
Engine and other machine assemblers
774
Structural metal fabricators and fitters
775
Miscellaneous assemblers and fabricators
780
Bakers
781
Butchers and other meat, poultry, and fish processing workers
783
Food and tobacco roasting, baking, and drying machine operators and tenders
784
Food batchmakers
785
Food cooking machine operators and tenders
790
Computer control programmers and operators
792
Extruding and drawing machine setters, operators, and tenders, metal and plastic
793
Forging machine setters, operators, and tenders, metal and plastic
794
Rolling machine setters, operators, and tenders, metal and plastic
795
Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
796
Drilling and boring machine tool setters, operators, and tenders, metal and plastic
800
Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
801
Lathe and turning machine tool setters, operators, and tenders, metal and plastic
803
Machinists
804
Metal furnace and kiln operators and tenders
806
Model makers and patternmakers, metal and plastic
810
Molders and molding machine setters, operators, and tenders, metal and plastic
813
Tool and die makers
814
Welding, soldering, and brazing workers
815
Heat treating equipment setters, operators, and tenders, metal and plastic
816
Lay-out workers, metal and plastic
820
Plating and coating machine setters, operators, and tenders, metal and plastic
821
Tool grinders, filers, and sharpeners
822
Other metal workers and plastic workers, including milling, planing, and machine tool operators
823
Bookbinders and bindery workers
824
Job printers
825
Prepress technicians and workers
826
Printing machine operators
830
Laundry and dry-cleaning workers
831
Pressers, textile, garment, and related materials
832
Sewing machine operators
833
Shoe and leather workers and repairers
834
Shoe machine operators and tenders
835
Tailors, dressmakers, and sewers
836
Textile bleaching and dyeing machine operators and tenders
840
Textile cutting machine setters, operators, and tenders
841
Textile knitting and weaving machine setters, operators, and tenders
842
Textile winding, twisting, and drawing out machine setters, operators, and tenders
845
Upholsterers
846
Miscellaneous textile, apparel, and furnishings workers, except upholsterers
850
Cabinetmakers and bench carpenters
851
Furniture finishers
853
Sawing machine setters, operators, and tenders, wood
854
Woodworking machine setters, operators, and tenders, except sawing
855
Miscellaneous woodworkers, including model makers and patternmakers
860
Power plant operators, distributors, and dispatchers
861
Stationary engineers and boiler operators
862
Water and liquid waste treatment plant and system operators
863
Miscellaneous plant and system operators
864
Chemical processing machine setters, operators, and tenders
865
Crushing, grinding, polishing, mixing, and blending workers
871
Cutting workers
872
Extruding, forming, pressing, and compacting machine setters, operators, and tenders
873
Furnace, kiln, oven, drier, and kettle operators and tenders
874
Inspectors, testers, sorters, samplers, and weighers
875
Jewelers and precious stone and metal workers
876
Medical, dental, and ophthalmic laboratory technicians
880
Packaging and filing machine operators and tenders
881
Painting workers
883
Photographic process workers and processing machine operators
885
Cementing and gluing machine operators and tenders
886
Cleaning, washing, and metal pickling equipment operators and tenders
891
Etchers and engravers
892
Molders, shapers, and casters, except metal and plastic
893
Paper goods machine setters, operators, and tenders
894
Tire builders
895
Helpers--production workers
896
Other production workers, including semiconductor processors and cooling and freezing equipment operators
900
Supervisors, transportation and material moving workers
903
Aircraft pilots and flight engineers
904
Air traffic controllers and airfield operations specialists
912
Bus drivers
913
Driver/sales workers and truck drivers
914
Taxi drivers and chauffeurs
915
Miscellaneous motor vehicle operators, including ambulance drivers and attendants
920
Locomotive engineers and operators
923
Railroad brake, signal, and switch operators
924
Railroad conductors and yardmasters
926
Subway, streetcar, and other rail transportation workers
930
Sailors and marine oilers
931
Ship and boat captains and operators
933
Ship engineers
935
Parking lot attendants
936
Service station attendants
941
Transportation inspectors
942
Miscellaneous transportation workers, including bridge and lock tenders and traffic technicians
951
Crane and tower operators
952
Dredge, excavating, and loading machine operators
956
Hoist and winch operators
960
Industrial truck and tractor operators
961
Cleaners of vehicles and equipment
962
Laborers and freight, stock, and material movers, hand
963
Machine feeders and offbearers
964
Packers and packagers, hand
965
Pumping station operators
972
Refuse and recyclable material collectors
975
Miscellaneous material moving workers; including conveyor operators and tenders; shuttle car operators; and tank car, truck, and ship loaders
980
Military officer special and tactical weapons leaders/managers
981
First-line enlisted military supervisors/managers
982
Military enlisted tactical operations and air/weapons specialists and crew members
983
Military, rank not specified (census only)
992
Seeking work, last worked more than 5 years ago
This variable indicates the person'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 (codes 000-970) recorded in OCC1950
NIU (not in universe)
4
4
6
6
8
8
9
9
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
45
45
46
46
48
48
49
49
52
52
54
54
62
62
63
63
80
80
Constructed variable that assigns 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 (codes 000-970) recorded in OCC1950
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
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 for the person's occupation.
Other Person Variables -- PERSON
IPUMS
Industry, 1950 basis
Industry, 1950 basis
Industry, 1950 basis
Industry, 1950 basis
Industry, 1950 basis
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
27. Industry or employer - Describe clearly this person's chief job activity or business last week. If this person had more than one job, describe the one at which this person worked the most hours. If this person had no job or business last week, give the information for his/her last job or business since 1995.
27. a. For whom did this person work? If now on active duty in the Armed Forces, mark [X] this box --> O and print the branch of the Armed Forces.
Name of company, business, or other employer
____
____
____
27. b. What kind of business or industry was this? Describe the activity at location where employed. (For example: hospital, newspaper publishing, mail order house, auto repair shop, bank)
____
____
____
27. c. Is this mainly - Mark [X] one box.
[] 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
347
Fabricated nonferrous metal products
348
Not specified metal industries
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
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
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
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
646
General merchandise 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
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 information about industry into 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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
27. Industry or employer - Describe clearly this person's chief job activity or business last week. If this person had more than one job, describe the one at which this person worked the most hours. If this person had no job or business last week, give the information for his/her last job or business since 1995.
27. a. For whom did this person work? If now on active duty in the Armed Forces, mark [X] this box --> O and print the branch of the Armed Forces.
Name of company, business, or other employer
____
____
____
27. b. What kind of business or industry was this? Describe the activity at location where employed. (For example: hospital, newspaper publishing, mail order house, auto repair shop, bank)
____
____
____
27. c. Is this mainly - Mark [X] one box.
[] Manufacturing?
[] Wholesale trade?
[] Retail trade?
[] Other (agriculture, construction, service, government, etc.)?
Persons age 16+ who worked in the last five years; and persons seeking work who last worked more than 5 years ago
NIU (not in universe)
17
Crop production
18
Animal production
19
Forestry except logging
27
Logging
28
Fishing, hunting, and trapping
29
Support activities for agriculture and forestry
37
Oil and gas extraction
38
Coal mining
39
Metal ore mining
47
Nonmetallic mineral mining and quarrying
49
Support activities for mining
57
Electric power generation, transmission and distribution
58
Natural gas distribution
59
Electric and gas, and other combinations
67
Water, steam, air conditioning, and irrigation systems
68
Sewage treatment facilities
69
Not specified utilities
77
Construction
107
Animal food, grain, and oilseed milling
108
Sugar and confectionery products
109
Fruit and vegetable preserving and specialty food manufacturing
117
Dairy product manufacturing
118
Animal slaughtering and processing
119
Retail bakeries
127
Bakeries, except retail
128
Seafood and other miscellaneous foods, n.e.c.
129
Not specified food industries
137
Beverage manufacturing
139
Tobacco manufacturing
147
Fiber, yarn, and thread mills
148
Fabric mills, except knitting
149
Textile and fabric finishing and coating mills
157
Carpets and rugs manufacturing
159
Textile product mills except carpets and rugs
167
Knitting mills
168
Cut and sew apparel manufacturing
169
Apparel accessories and other apparel manufacturing
177
Footwear manufacturing
179
Leather tanning and products, except footwear manufacturing
187
Pulp, paper, and paperboard mills
188
Paperboard containers and boxes
189
Miscellaneous paper and pulp products
199
Printing and related support activities
207
Petroleum refining
209
Miscellaneous petroleum and coal products
217
Resin, synthetic rubber and fibers, and filaments manufacturing
218
Agricultural chemical manufacturing
219
Pharmaceutical and medicine manufacturing
227
Paint, coating, and adhesives manufacturing
228
Soap, cleaning compound, and cosmetic manufacturing
229
Industrial and miscellaneous chemicals
237
Plastics product manufacturing
238
Tire manufacturing
239
Rubber products, except tires, manufacturing
247
Pottery, ceramics, and related products manufacturing
248
Structural clay product manufacturing
249
Glass and glass product manufacturing
257
Cement, concrete, lime, and gypsum product manufacturing
259
Miscellaneous nonmetallic mineral product manufacturing
267
Iron and steel mills and steel product manufacturing
268
Aluminum production and processing
269
Nonferrous metal, except aluminum, production and processing
277
Foundries
278
Metal forgings and stampings
279
Cutlery and hand tool manufacturing
287
Structural metals and tank and shipping container manufacturing
288
Machine shops, turned product, screw, nut, and bolt manufacturing
289
Coating, engraving, heat treating and allied activities
297
Ordnance
298
Miscellaneous fabricated metal products manufacturing
299
Not specified metal industries
307
Agricultural implement manufacturing
308
Construction mining and oil field machinery manufacturing
309
Commercial and service industry machinery manufacturing
317
Metalworking machinery manufacturing
318
Engines, turbines, and power transmission equipment manufacturing
319
Machinery manufacturing, n.e.c.
329
Not specified machinery manufacturing
336
Computer and peripheral equipment manufacturing
337
Communications, audio, and video equipment manufacturing
338
Navigational, measuring, electromedical, and control instruments manufacturing
339
Electronic component and product manufacturing, n.e.c.
347
Household appliance manufacturing
349
Electrical lighting, equipment, and supplies manufacturing, n.e.c.
357
Motor vehicles and motor vehicle equipment manufacturing
358
Aircraft and parts manufacturing
359
Aerospace product and parts manufacturing
367
Railroad rolling stock manufacturing
368
Ship and boat building
369
Other transportation equipment manufacturing
377
Sawmills and wood preservation
378
Veneer, plywood, and engineered wood products
379
Prefabricated wood buildings and mobile homes
387
Miscellaneous wood products
389
Furniture and related products manufacturing
396
Medical equipment and supplies manufacturing
397
Toys, amusement, and sporting goods manufacturing
398
Miscellaneous manufacturing, n.e.c.
399
Not specified manufacturing industries
407
Motor vehicles, parts and supplies
408
Furniture and home furnishings
409
Lumber and other construction materials
417
Professional and commercial equipment and supplies
418
Metals and minerals, except petroleum
419
Electrical goods
426
Hardware, plumbing and heating equipment, and supplies
427
Machinery, equipment, and supplies
428
Recyclable material
429
Miscellaneous durable goods
437
Paper and paper product wholesalers
438
Drugs, sundries, and chemical and allied product wholesalers
439
Apparel, fabrics, and notions wholesalers
447
Groceries and related product wholesalers
448
Farm product raw material wholesalers
449
Petroleum and petroleum product wholesalers
456
Alcoholic beverage wholesalers
457
Farm supplies wholesalers
458
Miscellaneous nondurable goods wholesalers
459
Not specified wholesale trade
467
Automobile dealers
468
Other motor vehicle dealers
469
Auto parts, accessories, and tire stores
477
Furniture and home furnishings stores
478
Household appliance stores
479
Radio, TV, and computer stores
487
Building material and supplies dealers
488
Hardware stores
489
Lawn and garden equipment and supplies stores
497
Grocery stores
498
Specialty food stores
499
Beer, wine, and liquor stores
507
Pharmacies and drug stores
508
Health and personal care, except drug stores
509
Gasoline stations
517
Clothing and accessories, except shoe stores
518
Shoe stores
519
Jewelry, luggage, and leather goods stores
527
Sporting goods, camera, and hobby and toy stores
528
Sewing, needlework and piece goods stores
529
Music stores
537
Book stores and news dealers
538
Department stores
539
Miscellaneous general merchandise stores
547
Retail florists
548
Office supplies and stationary stores
549
Used merchandise stores
557
Gift, novelty, and souvenir shops
558
Miscellaneous retail stores
559
Electronic shopping and mail-order houses
567
Vending machine operators
568
Fuel dealers
569
Other direct selling establishments
579
Not specified retail trade
607
Air transportation
608
Rail transportation
609
Water transportation
617
Truck transportation
618
Bus service and urban transit
619
Taxi and limousine service
627
Pipeline transportation
628
Scenic and sightseeing transportation
629
Services incidental to transportation
637
Postal Service
638
Couriers and messengers
639
Warehousing and storage
647
Newspaper publishers
648
Publishing, except newspapers and software
649
Software publishing
657
Motion pictures and video industries
659
Sound recording industries
667
Radio and television broadcasting and cable
668
Wired telecommunications carriers
669
Other telecommunication services
677
Libraries and archives
678
Other information services
679
Data processing services
687
Banking and related activities
688
Savings institutions, including credit unions
689
Non-depository credit and related activities
697
Securities, commodities, funds, trusts, and other financial investments
699
Insurance carriers and related activities
707
Real estate
708
Automotive equipment rental and leasing
717
Video tape and disk rental
718
Other consumer goods rental
719
Commercial, industrial, and other intangible assets rental and leasing
727
Legal services
728
Accounting, tax preparation, bookkeeping and payroll services
729
Architectural, engineering, and related services
737
Specialized design services
738
Computer systems design and related services
739
Management, scientific and technical consulting services
746
Scientific research and development services
747
Advertising and related services
748
Veterinary services
749
Other professional, scientific and technical services
757
Management of companies and enterprises
758
Employment services
759
Business support services
767
Travel arrangements and reservation services
768
Investigation and security services
769
Services to buildings and dwellings
777
Landscaping services
778
Other administrative, and other support services
779
Waste management and remediation services
786
Elementary and secondary schools
787
Colleges and universities, including junior colleges
788
Business, technical, and trade schools and training
789
Other schools, instruction, and educational services
797
Offices of physicians
798
Offices of dentists
799
Office of chiropractors
807
Offices of optometrists
808
Offices of other health practitioners
809
Outpatient care centers
817
Home health care services
818
Other health care services
819
Hospitals
827
Nursing care facilities
829
Residential care facilities, without nursing
837
Individual and family services
838
Community food and housing, and emergency services
839
Vocational rehabilitation services
847
Child day care services
856
Independent artists, performing arts, spectator sports, and related industries
857
Museums, art galleries, historical sites, and similar institutions
858
Bowling centers
859
Other amusement, gambling, and recreation industries
866
Traveler accommodation
867
Recreational vehicle parks and camps, and rooming and boarding houses
868
Restaurants and other food services
869
Drinking places, alcoholic beverages
877
Automotive repair and maintenance
878
Car washes
879
Electronic and precision equipment repair and maintenance
887
Commercial and industrial machinery and equipment repair and maintenance
888
Personal and household goods repair and maintenance
889
Footwear and leather goods repair
897
Barber shops
898
Beauty salons
899
Nail salons and other personal care services
907
Dry cleaning and laundry services
908
Funeral homes, cemeteries and crematories
909
Other personal services
916
Religious organizations
917
Civic, social, advocacy organizations, and grant-making and giving services
918
Labor unions
919
Business, professional, political, and similar organizations
929
Private households
937
Executive offices and legislative bodies
938
Public finance activities
939
Other general government and support
947
Justice, public order, and safety activities
948
Administration of human resource programs
949
Administration of environmental quality and housing programs
957
Administration of economic programs and space research
959
National security and international affairs
967
U.S. Army
968
U.S. Air Force
969
U.S. Navy
977
U.S. Marines
978
U.S. Coast Guard
979
U.S. Armed Forces, branch not specified
987
Military Reserves or National Guard
992
Unemployed, with no work experience since 1995
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
29. Was this person - Mark [X] one box.
[] 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
Persons age 16+ who had worked within the previous five years, not new workers
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
30. b. How many weeks did this person work in 1999? Count paid vacation, paid sick leave, and military service.
_ _ Weeks
Persons age 16+, worked last year
NIU (not in universe)
1
1 week
2
2 weeks
3
3 weeks
4
4 weeks
5
5 weeks
6
6 weeks
7
7 weeks
8
8 weeks
9
9 weeks
10
10 weeks
11
11 weeks
12
12 weeks
13
13 weeks
14
14 weeks
15
15 weeks
16
16 weeks
17
17 weeks
18
18 weeks
19
19 weeks
20
20 weeks
21
21 weeks
22
22 weeks
23
23 weeks
24
24 weeks
25
25 weeks
26
26 weeks
27
27 weeks
28
28 weeks
29
29 weeks
30
30 weeks
31
31 weeks
32
32 weeks
33
33 weeks
34
34 weeks
35
35 weeks
36
36 weeks
37
37 weeks
38
38 weeks
39
39 weeks
40
40 weeks
41
41 weeks
42
42 weeks
43
43 weeks
44
44 weeks
45
45 weeks
46
46 weeks
47
47 weeks
48
48 weeks
49
49 weeks
50
50 weeks
51
51 weeks
52
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
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
30. b. How many weeks did this person work in 1999? Count paid vacation, paid sick leave, and military service.
_ _ Weeks
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
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
30. c. During the weeks worked in 1999, how many hours did this person usually work each week?
_ _ Usual hours worked each week
Persons age 16+, worked last year
NIU (not in universe)
1
1 hour per week
2
2 hours per week
3
3 hours per week
4
4 hours per week
5
5 hours per week
6
6 hours per week
7
7 hours per week
8
8 hours per week
9
9 hours per week
10
10 hours per week
11
11 hours per week
12
12 hours per week
13
13 hours per week
14
14 hours per week
15
15 hours per week
16
16 hours per week
17
17 hours per week
18
18 hours per week
19
19 hours per week
20
20 hours per week
21
21 hours per week
22
22 hours per week
23
23 hours per week
24
24 hours per week
25
25 hours per week
26
26 hours per week
27
27 hours per week
28
28 hours per week
29
29 hours per week
30
30 hours per week
31
31 hours per week
32
32 hours per week
33
33 hours per week
34
34 hours per week
35
35 hours per week
36
36 hours per week
37
37 hours per week
38
38 hours per week
39
39 hours per week
40
40 hours per week
41
41 hours per week
42
42 hours per week
43
43 hours per week
44
44 hours per week
45
45 hours per week
46
46 hours per week
47
47 hours per week
48
48 hours per week
49
49 hours per week
50
50 hours per week
51
51 hours per week
52
52 hours per week
53
53 hours per week
54
54 hours per week
55
55 hours per week
56
56 hours per week
57
57 hours per week
58
58 hours per week
59
59 hours per week
60
60 hours per week
61
61 hours per week
62
62 hours per week
63
63 hours per week
64
64 hours per week
65
65 hours per week
66
66 hours per week
67
67 hours per week
68
68 hours per week
69
69 hours per week
70
70 hours per week
71
71 hours per week
72
72 hours per week
73
73 hours per week
74
74 hours per week
75
75 hours per week
76
76 hours per week
77
77 hours per week
78
78 hours per week
79
79 hours per week
80
80 hours per week
81
81 hours per week
82
82 hours per week
83
83 hours per week
84
84 hours per week
85
85 hours per week
86
86 hours per week
87
87 hours per week
89
89 hours per week
90
90 hours per week
91
91 hours per week
92
92 hours per week
93
93 hours per week
94
94 hours per week
95
95 hours per week
96
96 hours per week
97
97 hours per week
98
98 hours per week
99
99+ hours per week
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
Years in the United States
Years in the United States
Years in the United States
Years in the United States
Years in the United States
Years in the United States
Foreign-born persons and persons born in US outlying areas
Less than 1 year
1
1 year
2
2 years
3
3 years
4
4 years
5
5 years
6
6 years
7
7 years
8
8 years
9
9 years
10
10 years
11
11 years
12
12 years
13
13 years
14
14 years
15
15 years
16
16 years
17
17 years
18
18 years
19
19 years
20
20 years
21
21 years
22
22 years
23
23 years
24
24 years
25
25 years
26
26 years
27
27 years
28
28 years
29
29 years
30
30 years
31
31 years
32
32 years
33
33 years
34
34 years
35
35 years
36
36 years
37
37 years
38
38 years
39
39 years
40
40 years
41
41 years
42
42 years
43
43 years
44
44 years
45
45 years
46
46 years
47
47 years
48
48 years
49
49 years
50
50 years
51
51 years
52
52 years
53
53 years
54
54 years
55
55 years
56
56 years
57
57 years
58
58 years
59
59 years
60
60 years
61
61 years
62
62 years
63
63 years
64
64 years
65
65 years
70
70 years
71
71 years
72
72 years
73
73 years
74
74 years
75
75 years
76
76 years
77
77 years
78
78 years
79
79 years
80
80 years
85
85 years
89
89 years
90
90+
99
NIU (not in universe)
This variable indicatesow long a person who was born in a foreign country had been living in the United States.
Nativity and Birthplace Variables -- PERSON
IPUMS
Worked last year
Worked last year
Worked last year
Worked last year
Worked last year
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
30. a. Last year, 1999, did this person work at a job or business at any time?
[] Yes
[] No [Go on to question 31]
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
-- Answer questions 25-26 for persons who did not work for pay or profit last week. Others skip to 27.
25. a. Last week, was this person on layoff from a job?
[] Yes [Go on to question 25c]
[] No
Persons age 15+, not at work during previous week
NIU (not in universe)
1
No
2
Yes, laid off
3
Yes, other reason (vacation, illness, labor dispute)
4
Not reported
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
-- Answer questions 25-26 for persons who did not work for pay or profit last week. Others skip to 27.
25. d. Has this person been looking for work during the last 4 weeks?
[] Yes
[] No [Go on to question 26]
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
3
Not reported
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
-- Answer questions 25-26 for persons who did not work for pay or profit last week. Others skip to 27.
25. e. Last week, could this person have started a job if offered one, or returned to work if recalled?
[] Yes, could have gone to work
[] No, because of own temporary illness
[] No, because of all other reasons (in school, etc.)
Persons age 15+, not at work during previous week
NIU (not in universe)
2
No, temporarily ill
3
No, other reason(s)
4
Yes, available for work
5
Not reported
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
32. What was this person's total income in 1999? Add entries in questions 31 a-31 h; subtract any losses. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
[] None, or
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] Loss
Persons age 15+
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
31. a. Wages, salary, commissions, bonuses, or tips from all jobs - Report amount before deductions for taxes, bonds, dues, or other items.
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] No
Persons age 15+
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
Poverty status
Not group quarters
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
Social Security income
Social Security income
Social Security income
Social Security income
Social Security income
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
31. d. Social Security or Railroad Retirement
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] No
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
31. f. Any public assistance or welfare payments from the state or local welfare office
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] No
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
31. c. Interest, dividends, net rental income, royalty income, or income from estates and trusts - Report even small amounts credited to an account.
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] No
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
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
31. a. Wages, salary, commissions, bonuses, or tips from all jobs - Report amount before deductions for taxes, bonds, dues, or other items.
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] No
31. b. Self-employment income from own nonfarm businesses or farm businesses, including proprietorships and partnerships - Report net income after business expenses.
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] Loss
[] No
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
31. h. 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 sale of a home.
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] No
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
15. a. Did this person live in this house or apartment 5 years ago (on April 1, 1995)?
[] Person is under 5 years old [Go on to question 33]
[] Yes, this house [Go on to question 16]
[] No, outside the United States - Print name of foreign country, or Puerto Rico, Guam, etc., below; then go on to question 16.
____
[] No, different house in the United States
Persons age 5+
NIU (not in universe)
1
Same house
2
Different house
3
Abroad five years ago
This variable indicates the U.S. state or the foreign country where the respondent was living 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
15. b. Where did this person live 5 years ago?
____ Name of city, town, or post office
Did this person live inside the limits of the city or town?
[] Yes
[] No, outside the city/town limits
____ Name of county
____ Name of state
_ _ _ _ _ ZIP code
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
105
Guam
110
Puerto Rico
115
Virgin Islands
150
Canada
200
Mexico
212
Costa Rica
213
El Salvador
214
Guatemala
215
Honduras
216
Nicaragua
217
Panama
250
Cuba
260
West Indies
261
Dominican Republic
262
Haiti
263
Jamaica
266
Trinidad Tobago
305
Argentina
310
Bolivia
315
Brazil
320
Chile
325
Colombia
330
Ecuador
350
Peru
365
Venezuela
370
North or Central America, n.s. (2000 5%)
390
South America, n.e.c.
404
Norway
405
Sweden
410
England
411
Scotland
413
United Kingdom
414
Ireland
420
Belgium
421
France
425
Netherlands
426
Switzerland
430
Albania
433
Greece
435
Italy
436
Portugal
438
Spain
450
Austria
451
Bulgaria
452
Czechoslovakia
453
Germany
454
Hungary
455
Poland
456
Romania
457
Yugoslavia
465
USSR
496
Byelorussia
498
Ukraine
499
Europe, n.s.
500
China
501
Japan
502
Korea
512
Indonesia
514
Malaysia
515
Philippines
516
Singapore
517
Thailand
518
Vietnam
521
India
522
Iran
525
Pakistan
532
Iraq
534
Israel/Palestine
535
Jordan
537
Lebanon
540
Saudi Arabia
542
Turkey
543
United Arab Emirates
599
Asia, n.e.c./n.s.
612
Egypt/United Arab Rep
694
South Africa (Union of)
699
Africa, n.e.c.
701
Australia
702
New Zealand
911
Abroad, n.s.
This variable indicates the specific foreign country where the person lived 5 years before the census.
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
15. b. Where did this person live 5 years ago?
____ Name of city, town, or post office
Did this person live inside the limits of the city or town?
[] Yes
[] No, outside the city/town limits
____ Name of county
____ Name of state
_ _ _ _ _ ZIP code
Persons age 5+ in identifiable metropolitan areas
NIU (not in universe)
40
Abilene, TX
80
Unknown
120
Albany, GA
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
440
Ann Arbor, MI
450
Anniston, AL
460
Appleton-Oskosh-Neenah, WI
480
Asheville, NC
500
Athens, GA
520
Atlanta, GA
560
Atlantic City, NJ
580
Auburn-Opelika, AL
600
Augusta, GA-SC
640
Austin, TX
680
Bakersfield, CA
720
Baltimore, MD
740
Barnstable-Yarmouth, MA
760
Baton Rouge, LA
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
1150
Bremerton, WA
1160
Bridgeport, CT
1200
Brockton, MA
1240
Brownsville - Harlingen-San Benito, TX
1260
Bryan-College Station, TX
1280
Buffalo, NY
1320
Canton, OH
1360
Cedar Rapids, IA
1400
Champaign-Urbana-Rantoul, IL
1440
Charleston, SC
1520
Charlotte, NC
1540
Charlottesville, VA
1560
Chattanooga, TN
1600
Chicago, IL
1602
Gary-Hammond-East Chicago, IN
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
1800
Columbus, GA
1840
Columbus, OH
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
2120
Des Moines, IA
2160
Detroit, MI
2180
Dothan, AL
2190
Dover, DE
2240
Duluth, MN
2281
Dutchess County, New York
2290
Eau Claire, WI
2310
El Paso, TX
2320
Elkhart-Goshen, IA
2360
Erie, PA
2400
Eugene-Springfield, OR
2440
Evansville, IN
2520
Fargo-Moorhead, ND/MN
2560
Fayetteville, NC
2580
Fayetteville-Springdale, AR
2600
Fitchburg-Leominster, MA
2620
Flagstaff, AZ-UT
2650
Florence, AL
2680
Fort Lauderdale-Hollywood-Pompano Beach, FL
2700
Fort Myers-Cape Coral, FL
2710
Fort Pierce, FL
2720
Fort Smith, AR/OK
2750
Fort Walton Beach, FL
2760
Fort Wayne, IN
2840
Fresno, CA
2880
Gadsden, AL
2900
Gainesville, FL
2920
Unknown
2970
Glens Falls, NY
2980
Goldsboro, NC
3000
Grand Rapids, MI
3060
Greeley, CO
3080
Green Bay, WI
3120
Greensboro-High Point, NC
3150
Greenville, NC
3160
Greenville-Spartenburg-Anderson, SC
3180
Hagerstown, MD
3200
Hamilton-Middleton, OH
3240
Harrisburg, PA
3280
Hartford, CT
3285
Hattiesburg, MS
3290
Hickory-Morgantown, NC
3320
Balance of Honolulu
3350
Houma-Thibodoux, LA
3360
Houston, TX
3361
Brazoria, TX
3440
Huntsville, AL
3480
Indianapolis, IN
3500
Iowa City, IA
3520
Jackson, MI
3560
Unknown
3580
Jackson, TN
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
3740
Kankakee, IL
3760
Kansas City, MO/KS
3800
Kenosha, WI
3810
Killeen-Temple, TX
3840
Knoxville, TN
3850
Kokomo, IN
3870
LaCrosse, WI
3880
Lafayette, LA
3920
Lafayette-W.Lafayette, IN
3960
Lake Charles, LA
3980
Lakeland-Winterhaven, FL
4000
Lancaster, PA
4040
Lansing, MI
4080
Laredo, TX
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
4480
Los Angeles, CA
4482
Orange County, CA
4520
Louisville, KY/IN
4600
Lubbock, TX
4640
Lynchburg, VA
4680
Bibb, 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
4940
Merced, CA
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
5330
Myrtle Beach, SC
5340
Naples, FL
5350
Nashua, NH
5360
Nashville, TN
5400
Bristol, MA
5480
New Haven, CT
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
5660
Newburgh-Middletown, NY
5720
Norfolk-Portsmouth, VA
5790
Ocala, FL
5800
Odessa, TX
5910
Olympia, WA
5920
Omaha, NE
5960
Orlando, FL
6010
Panama City, FL
6080
Pensacola, FL
6120
Peoria, IL
6160
Philadelphia, PA/NJ
6200
Phoenix, AZ
6280
Pittsburgh, PA
6400
Portland, ME
6440
Portland, OR/WA
6480
Providence, RI
6520
Provo-Urem, UT
6580
Punta Gorda, FL
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
6761
Roanoke, VA
6780
Riverside, CA
6820
Rochester, MN
6840
Rochester, NY
6880
Rockford, IL
6895
Rocky Mount, NC
6920
Sacramento, CA
6960
Saginaw, MI
6980
St. Cloud, MN
7000
St. Joseph, MO
7040
St. Louis, MO/IL
7080
Salem, OR
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
7460
San Luis Obispo-Atascadero-Paso Robles, 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
7620
Sheboygan, WI
7680
Shreveport, LA
7720
Sioux City, IA
7800
South Bend, IN
7840
Spokane, WA
7920
Springfield, MO
8000
Springfield-Holyoke, MA
8040
Stamford, CT
8050
State College, PA
8120
Stockton, CA
8140
Sumter, SC
8160
Syracuse, NY
8200
Tacoma, WA
8240
Tallahassee, FL
8280
Tampa-St. Petersburg, FL
8320
Terre Haute, IN
8400
Toledo, OH
8440
Topeka, KS
8480
Trenton, NJ
8520
Tucson, AZ
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
9270
Yolo, CA
9280
York, PA
9320
Youngstown, OH/PA
9340
Yuba City, CA
9360
Yuma, AZ
This variable indicates the 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
Metropolitan status 5 years ago
Metropolitan status 5 years ago
Metropolitan status 5 years ago
Metropolitan status 5 years ago
Metropolitan status 5 years ago
15. b. Where did this person live 5 years ago?
____ Name of city, town, or post office
Did this person live inside the limits of the city or town?
[] Yes
[] No, outside the city/town limits
____ Name of county
____ Name of state
_ _ _ _ _ ZIP code
Persons age 5+ who lived in a different house 5 years ago
NIU (not in universe)
1
Not in a metro area
2
In a metro area, central city status unknown
3
Central city
4
Not central city
9
Unknown
This variable indicates whether the respondent lived in a metropolitan area five years ago.
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
15. b. Where did this person live 5 years ago?
____ Name of city, town, or post office
Did this person live inside the limits of the city or town?
[] Yes
[] No, outside the city/town limits
____ Name of county
____ Name of state
_ _ _ _ _ ZIP code
Persons age 5+ who lived in an identifiable city
NIU (not in universe)
90
Alexandria, VA
210
Anchorage, AK
530
Baltimore, MD
810
Boston, MA
830
Bridgeport, CT
930
Cambridge, MA
1150
Chesapeake, VA
1460
Columbus, GA
1730
Des Moines, IA
2650
Hampton, VA
2710
Hartford, CT
3590
Lexington-Fayette, KY
3770
Lowell, MA
3910
Manchester, NH
4530
New Haven, CT
4570
New Orleans, LA
4610
New York, NY
4750
Newport News, VA
4810
Norfolk, VA
5330
Philadelphia, PA
5650
Providence, RI
5870
Richmond, VA
6090
Saint Louis, MO
6290
San Francisco, CA
6670
Springfield, MA
6730
Stamford, CT
7130
Virginia Beach, VA
7230
Washington, DC
7250
Waterbury, CT
7570
Worcester, MA
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
15. b. Where did this person live 5 years ago?
____ Name of city, town, or post office
Did this person live inside the limits of the city or town?
[] Yes
[] No, outside the city/town limits
____ Name of county
____ Name of state
_ _ _ _ _ ZIP code
Persons age 5+ who lived in a different house 5 years ago; not abroad
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
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
66
66
67
67
68
68
77
77
81
81
82
82
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
Year occupant moved into residence
Year occupant moved into residence
Year occupant moved into residence
Year occupant moved into residence
Year occupant moved into residence
36. When did this person move into this house, apartment, or mobile home?
[] 1999 or 2000
[] 1995 to 1998
[] 1990 to 1994
[] 1980 to 1989
[] 1970 to 1979
[] 1969 or earlier
Householder; not in group quarters
NIU (not in universe)
1
This year or last year
2
2-5 years ago
5
6 -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 metropolitan status
Place of work metropolitan status
Place of work metropolitan status
Place of work metropolitan status
Place of work metropolitan status
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
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.
a. Address (Number and street name)
____
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
____ b. Name of city, town, or post office
c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ d. Name of county
____ e. Name of U.S. state or foreign country
_ _ _ _ _ f. ZIP code
Persons age 16+ who worked last week
NIU (not in universe)
1
In central city (in 1980, only those persons wh
4
Not central city
5
Central city status unknown
7
Outside metropolitan area
8
Outside metropolitan area or abroad
9
Not reported/unknown
This variable indicates whether respondents who worked last week worked primarily within a metropolitan area, and, if so, whether they worked within a metropolitan central city.
Work Variables -- PERSON
IPUMS
Place of work: state, 1980 to 2000
Place of work: state, 1980 to 2000
Place of work: state, 1980 to 2000
Place of work: state, 1980 to 2000
Place of work: state, 1980 to 2000
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
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.
a. Address (Number and street name)
____
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
____ b. Name of city, town, or post office
c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ d. Name of county
____ e. Name of U.S. state or foreign country
_ _ _ _ _ f. ZIP code
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
86
Other, n.e.c.
This variable indicates the state in which the respondent's primary workplace was located.
Work Variables -- PERSON
IPUMS
Work disability
Work disability
Work disability
Work disability
Work disability
17. Because of a physical, mental, or emotional condition lasting 6 months or more, does this person have any difficulty in doing any of the following activities:
17. d. (Answer if this person is 16 years old or over.) Working at a job or business?
[] Yes
[] No
Persons age 16+
NIU (not in universe)
1
No disability that affects work
4
Disability causes difficulty working
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
17. Because of a physical, mental, or emotional condition lasting 6 months or more, does this person have any difficulty in doing any of the following activities:
17. c. (Answer if this person is 16 years old or over.) Going outside the home alone to shop or visit a doctor's office?
[] Yes
[] No
Persons age 16+
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
17. Because of a physical, mental, or emotional condition lasting 6 months or more, does this person have any difficulty in doing any of the following activities:
17. b. Dressing, bathing, or getting around inside the home?
[] Yes
[] No
Persons age 5+
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. a. Has this person ever served on active duty in the U.S. Armed Forces, military Reserves, or National Guard? Active duty does not include training for the Reserves or National Guard, but DOES include activation, for example, for the Persian Gulf War.
[] Yes, now on active duty
[] Yes, on active duty in past, but not now
[] No, training for Reserves or National Guard only [Go on to question 21]
[] No, never served in the military [Go on to question 21]
Persons age 17+
NIU (not in universe)
1
No Service
2
Yes
This variable indicates whether the persons were currently in the armed forces.
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
Persons age 17+
NIU
1
No
2
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
Persons age 17+
NIU
1
No
2
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 )
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
Persons age 17+
NIU
1
No
2
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. a. Has this person ever served on active duty in the U.S. Armed Forces, military Reserves, or National Guard? Active duty does not include training for the Reserves or National Guard, but DOES include activation, for example, for the Persian Gulf War.
[] Yes, now on active duty
[] Yes, on active duty in past, but not now
[] No, training for Reserves or National Guard only [Go on to question 21]
[] No, never served in the military [Go on to question 21]
20. c. In total, how many years of active-duty military service has this person had?
[] Less than 2 years
[] 2 years or more
Persons age 17+, currently or formerly in the armed forces
NIU (not in universe)
1
Less than 2 years
2
2 years or more
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 1955 to 1964
Veteran, served 1955 to 1964
Veteran, served 1955 to 1964
Veteran, served 1955 to 1964
Veteran, served 1955 to 1964
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
Persons age 17+
NIU (not in universe)
1
Less than 2 years
2
2 years or more
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 )
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
Persons age 17+
NIU
1
No
2
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 )
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
Persons age 17+
NIU
1
No
2
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
Persons age 17+
NIU
1
No
2
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 of transportation to work
Means of transportation to work
Means of transportation to work
Means of transportation to work
Means of transportation to work
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
23. a. How did this person usually get to work last week? If this person usually used more than one method of transportation during the trip, mark [X] the box 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
[] Taxicab
[] Motorcycle
[] Bicycle
[] Walked
[] Worked at home [Go on to question 27]
[] Other method
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 (publico in Puerto Rico, 2000 )
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.
Other Person Variables -- PERSON
IPUMS
Carpooling
Carpooling
Carpooling
Carpooling
Carpooling
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
-- If "car, truck, or van" is marked in 23a, go to 23b. Otherwise, skip to 24a.
23. b. 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 or 6 people
[] 7 or more people
Persons age 16+ who worked last week and used a private auto, truck, or van to go to work
NIU (not in universe)
1
Drives alone
2
Carpools
This variable indicates whether the respondent usually rode to work in a carpool during the previous week.
Other Person Variables -- PERSON
IPUMS
Vehicle occupancy
Vehicle occupancy
Vehicle occupancy
Vehicle occupancy
Vehicle occupancy
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
-- If "car, truck, or van" is marked in 23a, go to 23b. Otherwise, skip to 24a.
23. b. 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 or 6 people
[] 7 or more people
Persons age 16+ who worked last week and used a private auto, truck, or van to go to work
NIU (not in universe)
1
Drives alone
2
2 people
3
3
4
4
5
5 or 6
7
7+
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
24. b. How many minutes did it usually take this person to get from home to work last week?
_ _ _ Minutes
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
24. a. What time did this person usually leave home to go to work last week?
_ _ : _ _
[] a.m.
[] p.m.
Persons age 16+ who worked outside the home last week
NIU (not in universe)
15
1.04166666666667E-02
45
0.03125
115
5.20833333333333E-02
145
7.29166666666667E-02
215
0.09375
245
0.114583333333333
305
0.128472222222222
315
0.135416666666667
325
0.142361111111111
335
0.149305555555556
345
0.15625
355
0.163194444444444
405
0.170138888888889
415
0.177083333333333
425
0.184027777777778
435
0.190972222222222
445
0.197916666666667
455
0.204861111111111
502
0.209722222222222
507
0.213194444444444
512
0.216666666666667
517
0.220138888888889
522
0.223611111111111
527
0.227083333333333
532
0.230555555555556
537
0.234027777777778
542
0.2375
547
0.240972222222222
552
0.244444444444444
557
0.247916666666667
602
0.251388888888889
607
0.254861111111111
612
0.258333333333333
617
0.261805555555556
622
0.265277777777778
627
0.26875
632
0.272222222222222
637
0.275694444444444
642
0.279166666666667
647
0.282638888888889
652
0.286111111111111
657
0.289583333333333
702
0.293055555555556
707
0.296527777777778
712
0.3
717
0.303472222222222
722
0.306944444444444
727
0.310416666666667
732
0.313888888888889
737
0.317361111111111
742
0.320833333333333
747
0.324305555555556
752
0.327777777777778
757
0.33125
802
0.334722222222222
807
0.338194444444444
812
0.341666666666667
817
0.345138888888889
822
0.348611111111111
827
0.352083333333333
832
0.355555555555556
837
0.359027777777778
842
0.3625
847
0.365972222222222
852
0.369444444444444
857
0.372916666666667
902
0.376388888888889
907
0.379861111111111
912
0.383333333333333
917
0.386805555555556
922
0.390277777777778
927
0.39375
932
0.397222222222222
937
0.400694444444444
942
0.404166666666667
947
0.407638888888889
952
0.411111111111111
957
0.414583333333333
1005
0.420138888888889
1015
0.427083333333333
1025
0.434027777777778
1035
0.440972222222222
1045
0.447916666666667
1055
0.454861111111111
1105
0.461805555555556
1115
0.46875
1125
0.475694444444444
1135
0.482638888888889
1145
0.489583333333333
1155
0.496527777777778
1205
0.503472222222222
1215
0.510416666666667
1225
0.517361111111111
1235
0.524305555555556
1245
0.53125
1255
0.538194444444444
1305
0.545138888888889
1315
0.552083333333333
1325
0.559027777777778
1335
0.565972222222222
1345
0.572916666666667
1355
0.579861111111111
1405
0.586805555555556
1415
0.59375
1425
0.600694444444444
1435
0.607638888888889
1445
0.614583333333333
1455
0.621527777777778
1505
0.628472222222222
1515
0.635416666666667
1525
0.642361111111111
1535
0.649305555555556
1545
0.65625
1555
0.663194444444444
1605
0.670138888888889
1615
0.677083333333333
1625
0.684027777777778
1635
0.690972222222222
1645
0.697916666666667
1655
0.704861111111111
1705
0.711805555555555
1715
0.71875
1725
0.725694444444445
1735
0.732638888888889
1745
0.739583333333333
1755
0.746527777777778
1805
0.753472222222222
1815
0.760416666666667
1825
0.767361111111111
1835
0.774305555555555
1845
0.78125
1855
0.788194444444445
1905
0.795138888888889
1920
0.805555555555555
1935
0.815972222222222
1945
0.822916666666667
1955
0.829861111111111
2005
0.836805555555555
2020
0.847222222222222
2035
0.857638888888889
2050
0.868055555555555
2105
0.878472222222222
2115
0.885416666666667
2125
0.892361111111111
2135
0.899305555555555
2145
0.90625
2155
0.913194444444445
2205
0.920138888888889
2215
0.927083333333333
2225
0.934027777777778
2235
0.940972222222222
2245
0.947916666666667
2255
0.954861111111111
2305
0.961805555555555
2315
0.96875
2325
0.975694444444445
2335
0.982638888888889
2350
0.993055555555555
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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
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.
a. Address (Number and street name)
____
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
____ b. Name of city, town, or post office
c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ d. Name of county
____ e. Name of U.S. state or foreign country
_ _ _ _ _ f. ZIP code
Persons age 16+ who worked last week in identifiable metropolitan areas
NIU (not in universe)
40
Abilene, TX
80
Akron, OH
120
Albany, GA
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
440
Ann Arbor, MI
450
Anniston, AL
460
Appleton-Oskosh-Neenah, WI
480
Asheville, NC
500
Athens, GA
520
Atlanta, GA
560
Atlantic City, NJ
580
Auburn-Opelika, AL
600
Augusta-Aiken, GA-SC
640
Austin, TX
680
Bakersfield, CA
720
Baltimore, MD
740
Barnstable-Yarmouth, MA
760
Baton Rouge, LA
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
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
1320
Canton, OH
1360
Cedar Rapids, IA
1400
Champaign-Urbana-Rantoul, IL
1440
Charleston-N.Charleston,SC
1520
Charlotte-Gastonia-Rock Hill, SC
1540
Charlottesville, VA
1560
Chattanooga, TN/GA
1600
Chicago-Gary-Lake IL
1602
Gary-Hammond-East Chicago, IN
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
1800
Columbus, GA/AL
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
2120
Des Moines, IA
2160
Detroit, MI
2180
Dothan, AL
2190
Dover, DE
2240
Duluth-Superior, MN/WI
2281
Dutchess County, NY
2290
Eau Claire, WI
2310
El Paso, TX
2320
Elkhart-Goshen, IN
2360
Erie, PA
2400
Eugene-Springfield, OR
2440
Evansville, IN/KY
2520
Fargo-Moorhead, ND/MN
2560
Fayetteville, NC
2580
Fayetteville-Springdale, AR
2600
Fitchburg-Leominster, MA
2620
Flagstaff, AZ-UT
2640
Flint, MI
2650
Florence, AL
2670
Fort Collins-Loveland, CO
2680
Fort Lauderdale-Hollywood-Pompano Beach, FL
2700
Fort Myers-Cape Coral, FL
2710
Fort Pierce, FL
2720
Fort Smith, AR/OK
2750
Fort Walton Beach, FL
2760
Fort Wayne, IN
2840
Fresno, CA
2880
Gadsden, AL
2900
Gainesville, FL
2920
Galveston-Texas City, TX
2970
Glens Falls, NY
2980
Goldsboro, NC
3000
Grand Rapids, MI
3060
Greeley, CO
3080
Green Bay, WI
3120
Greensboro-Winston Salem-High Point, NC
3150
Greenville, NC
3160
Greenville-Spartenburg-Anderson, SC
3180
Hagerstown, MD
3200
Hamilton-Middleton, OH
3240
Harrisburg-Lebanon-Carlisle, PA
3280
Hartford-Bristol-Middleton-New Britian, CT
3285
Hattiesburg, MS
3290
Hickory-Morgantown, NC
3320
Honolulu, HI
3350
Houma-Thibodoux, LA
3360
Houston-Brazoria, TX
3361
Brazoria, TX
3440
Huntsville, AL
3480
Indianapolis, IN
3500
Iowa City, IA
3520
Jackson, MI
3560
Jackson, MS
3580
Jackson, TN
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
3740
Kankakee, IL
3760
Kansas City, MO-KS
3800
Kenosha, WI
3810
Killeen-Temple, TX
3840
Knoxville, TN
3850
Kokomo, IN
3870
LaCrosse, WI
3880
Lafayette, LA
3920
Lafayette-W. Lafayette,IN
3960
Lake Charles, LA
3980
Lakeland-Winterhaven, FL
4000
Lancaster, PA
4040
Lansing-E. Lansing, MI
4080
Laredo, TX
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
4480
Los Angeles-Long Beach, CA
4482
Orange County, CA
4520
Louisville, KY/IN
4600
Lubbock, TX
4640
Lynchburg, VA
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
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
5330
Myrtle Beach, SC
5340
Naples, FL
5350
Nashua, NH
5360
Nashville, TN
5400
New Bedford, MA
5480
New Haven-Meriden, CT
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
5660
Newburgh-Middletown, NY
5720
Norfolk-VA Beach-Newport News, VA
5790
Ocala, FL
5800
Odessa, TX
5880
Oklahoma City, OK
5910
Olympia, WA
5920
Omaha, NE/IA
5960
Orlando, FL
6010
Panama City, FL
6080
Pensacola, FL
6120
Peoria, IL
6160
Philadelphia, PA/NJ
6200
Phoenix, AZ
6280
Pittsburgh-Beaver Valley, PA
6400
Portland, ME
6440
Portland-Vancouver, OR
6480
Providence-Fall River-Pawtuckett, MA
6520
Provo-Orem, UT
6580
Punta Gorda, FL
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
6895
Rocky Mount, NC
6920
Sacramento, CA
6960
Saginaw-Bay City-Midland, MI
6980
St. Cloud, MN
7000
St. Joseph, MO
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
7460
San Luis Obispo Atascad-P Robles, 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
7720
Sioux City, IA/NE
7760
Sioux Falls, SD
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
8140
Sumter, SC
8160
Syracuse, NY
8200
Tacoma, WA
8240
Tallahassee, FL
8280
Tampa-St. Petersburg-Clearwater, FL
8320
Terre Haute, IN
8400
Toledo, OH/MI
8440
Topeka, KS
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
Unknown
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
9270
Yolo, CA
9280
York, PA
9320
Youngstown-Warren, OH-PA
9340
Yuba City, CA
9360
Yuma, AZ
This variable indicatess 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
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
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.
a. Address (Number and street name)
____
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
____ b. Name of city, town, or post office
c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ d. Name of county
____ e. Name of U.S. state or foreign country
_ _ _ _ _ f. ZIP code
Persons age 16+ who worked last week in identifiable cities
NIU
10
Akron, OH
90
Alexandria, VA
130
Allentown, PA
210
Anchorage, AK
270
Ann Arbor, MI
510
Bakersfield, CA
530
Baltimore, MD
590
Baton Rouge, LA
670
Beaumont, TX
680
Bellevue, WA
800
Boise, ID
810
Boston, MA
830
Bridgeport, CT
880
Brownsville, TX
890
Buffalo, NY
930
Cambridge, MA
1000
Cape Coral, FL
1090
Charlotte, NC
1110
Chattanooga, TN
1150
Chesapeake, VA
1190
Chicago, IL
1290
Cincinnati, OH
1410
Columbia, SC
1450
Columbus, OH
1500
Corona, CA
1520
Corpus Christi, TX
1670
Dayton, OH
1730
Des Moines, IA
1750
Detroit, MI
1800
Downey, CA
1990
El Monte, CA
2050
Elizabeth, NJ
2090
Erie, PA
2170
Evansville, IN
2240
Fayetteville, NC
2260
Fontana, CA
2270
Flint, MI
2300
Fort Collins, CO
2330
Fort Wayne, IN
2370
Fresno, CA
2470
Gary, IN
2530
Grand Rapids, MI
2550
Green Bay, WI
2570
Greensboro, NC
2650
Hampton, VA
2710
Hartford, CT
2950
Huntsville, AL
2970
Independence, MO
3010
Inglewood, CA
3020
Irvine, CA
3090
Jackson, MS
3150
Jersey City, NJ
3260
Kansas City, MO
3330
Knoxville, TN
3390
Lafayette, LA
3440
Lancaster, CA
3470
Lansing, MI
3590
Lexington-Fayette, KY
3650
Little Rock, AR
3670
Livonia, MI
3690
Long Beach, CA
3770
Lowell, MA
3870
Madison, WI
3910
Manchester, NH
3960
McAllen, TX
4010
Memphis, TN
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
4860
Norwalk, CA
4990
Oklahoma City, OK
5030
Ontario, CA
5130
Oxnard, CA
5140
Palmdale, CA
5170
Pasadena, TX
5210
Paterson, NJ
5270
Peoria, IL
5330
Philadelphia, PA
5370
Pittsburgh, PA
5450
Pomona, CA
5650
Providence, RI
5750
Raleigh, NC
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
6190
Salinas, CA
6250
San Bernadino, CA
6290
San Francisco, CA
6340
Santa Clarita, CA
6370
Savannah, GA
6430
Seattle, WA
6500
Simi Valley, CA
6530
Sioux Falls, SD
6590
South Bend, IN
6630
Spokane, WA
6650
Springfield, IL
6670
Springfield, MA
6690
Springfield, MO
6730
Stamford, CT
6750
Sterling Heights, MI
6790
Stockton, CA
6850
Syracuse, NY
6870
Tacoma, WA
6960
Thousand Oaks, CA
6970
Toledo, OH
7000
Torrance, CA
7070
Tulsa, OK
7100
Vancouver, WA
7130
Virginia Beach, VA
7180
Warren, MI
7230
Washington, DC
7250
Waterbury, CT
7320
West Covina, CA
7410
Wichita, KS
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 age
Flag for age
Flag for age
Flag for age
Flag for age
Flag for age
All persons
Unaltered case
4
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
This variable is a data quality flag for ANCESTR1 (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
4
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
4
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
4
Allocated
This variable is a data quality flag for CARPOOL (Carpooling).
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
4
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
4
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
4
Allocated
This variable is a data quality flag for LANGUAGE (Language spoken).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for employment and labor force status
Flag for employment and labor force status
Flag for employment and labor force status
Flag for employment and labor force status
Flag for employment and labor force status
Flag for employment and labor force status
All persons
Unaltered case
4
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
4
Allocated
This variable is a data quality flag for EDUCREC (Educational attainment).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for total income
Flag for total income
Flag for total income
Flag for total income
Flag for total income
Flag for total income
All persons
Unaltered case
4
Allocated
This variable is a data quality flag for INCTOT (Total Personal Income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for business and farm, total, and total earned income
Flag for business and farm, total, and total earned income
Flag for business and farm, total, and total earned income
Flag for business and farm, total, and total earned income
Flag for business and farm, total, and total earned income
Flag for business and farm, total, and total earned income
All persons
Unaltered case
4
Allocated
This variable is a data quality flag for INCBUS (Non-farm business income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for interest, dividend and rental, and total income
Flag for interest, dividend and rental, and total income
Flag for interest, dividend and rental, and total income
Flag for interest, dividend and rental, and total income
Flag for interest, dividend and rental, and total income
Flag for interest, dividend and rental, and total income
All persons
Unaltered case
4
Allocated
This variable is a data quality flag for INCINVST (Interest, dividend, and rental income).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for other and total income
Flag for other and total income
Flag for other and total income
Flag for other and total income
Flag for other and total income
Flag for other and total income
All persons
Unaltered case
4
Allocated
This variable is a data quality flag for INCOTHER (Income from other sources).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for Social Security and total income
Flag for Social Security and total income
Flag for Social Security and total income
Flag for Social Security and total income
Flag for Social Security and total income
Flag for Social Security and total income
All persons
Unaltered case
4
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
4
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) and total income
Flag for welfare (public assistance) and total income
Flag for welfare (public assistance) and total income
Flag for welfare (public assistance) and total income
Flag for welfare (public assistance) and total income
Flag for welfare (public assistance) and total income
All persons
Unaltered case
4
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
4
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
4
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
4
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: state, 1980 to 2000
Flag for place of work: state, 1980 to 2000
Flag for place of work: state, 1980 to 2000
Flag for place of work: state, 1980 to 2000
Flag for place of work: state, 1980 to 2000
Flag for place of work: state, 1980 to 2000
All persons
Unaltered case
4
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
Unlatered case
3
Logical edit
4
Allocated
This variable is a data quality flag for MARST (Marital Status).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for retirement and total income
Flag for retirement and total income
Flag for retirement and total income
Flag for retirement and total income
Flag for retirement and total income
Flag for retirement and total income
All persons
Unaltered case
4
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
4
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
4
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
4
Allocated
This variable is a data quality flag for VETYRS (Years of Military Service).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for year occupant moved into residence
Flag for year occupant moved into residence
Flag for year occupant moved into residence
Flag for year occupant moved into residence
Flag for year occupant moved into residence
Flag for year occupant moved into residence
All persons
Unaltered case
4
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
4
Allocated
This variable is a data quality flag for OCC (Occupation).
Person Imputation Flags Variables -- PERSON
IPUMS
Unused variable
Unused variable
Unused variable
Unused variable
Unused variable
Unused variable
All persons
Unknown
Unused variable.
Other Person 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
4
Allocated
This variable is a data quality flag for RACE.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for relationship to household head/householder
Flag for relationship to household head/householder
Flag for relationship to household head/householder
Flag for relationship to household head/householder
Flag for relationship to household head/householder
Flag for relationship to household head/householder
All persons
Unaltered case
4
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
4
Allocated
This variable is a data quality flag for RIDERS (Vehicle occupancy).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for public or private school
Flag for public or private school
Flag for public or private school
Flag for public or private school
Flag for public or private school
Flag for public or private school
All persons
Unaltered case
This variable is a data quality flag for Schltype.
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
4
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
4
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
4
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
4
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
4
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
4
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
4
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
4
Allocated
This variable is a data quality flag for VETSTAT (Veteran Status).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for week worked last year and intervalled
Flag for week worked last year and intervalled
Flag for week worked last year and intervalled
Flag for week worked last year and intervalled
Flag for week worked last year and intervalled
Flag for week worked last year and intervalled
All persons
Unaltered case
4
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
4
Allocated
This variable is a data quality flag for WORKEDYR (Worked last year).
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for year of immigration, years in the United States
Flag for year of immigration, years in the United States
Flag for year of immigration, years in the United States
Flag for year of immigration, years in the United States
Flag for year of immigration, years in the United States
Flag for year of immigration, years in the United States
All persons
Unaltered case
4
Allocated
This variable is a data quality flag for YRIMMIG, YRSINUSA.
Person Imputation Flags Variables -- PERSON
IPUMS
Own grandchildren under age 18 living in household
Own grandchildren under age 18 living in household
Own grandchildren under age 18 living in household
Own grandchildren under age 18 living in household
Own grandchildren under age 18 living in household
Own grandchildren under age 18 living in household
Persons age 15+
NIU (not in universe)
1
No
2
Yes
This variable indicates whether respondents have any of their own grandchildren under the age of 18 living with them in the house or apartment.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Race, detailed recode, 2000
Race, detailed recode, 2000
Race, detailed recode, 2000
Race, detailed recode, 2000
Race, detailed recode, 2000
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
All persons
1
Some Other Race alone
2
Other Pacific Islander alone
3
Other Pacific Islander, Some Other Race
4
Samoan alone
5
Guamanian or Chamorro alone
6
Native Hawaiian alone
7
Other Asian alone
8
Other Asian, Some Other Race
9
Other Asian, Other Pacific Islander
10
Vietnamese alone
11
Korean alone
12
Japanese alone
15
Filipino alone
16
Filipino, Some Other Race
17
Filipino, Other Pacific Islander
18
Filipino, Native Hawaiian
19
Filipino, Japanese
20
Chinese alone
21
Chinese, Some Other Race
22
Chinese, Native Hawaiian
23
Chinese, Other Asian
24
Chinese, Vietnamese
25
Chinese, Japanese
26
Chinese, Filipino
28
Asian Indian alone
29
Asian Indian, Some Other Race
31
Asian Indian, Other Asian
32
American Indian and Alaska Native alone
33
American Indian and Alaska Native, Some Other Race
36
American Indian and Alaska Native, Asian Indian
37
Black or African American alone
38
Black or African American, Some Other Race
39
Black or African American, Other Pacific Islander
40
Black or African American, Other Asian
41
Black or African American, Korean
42
Black or African American, Japanese
43
Black or African American, Filipino
44
Black or African American, Chinese
45
Black or African American, Asian Indian
46
Black or African American, American Indian and Alaska Native
47
White alone
48
White, Some Other Race
49
White, Other Pacific Islander
50
White, Samoan
51
White, Guamanian or Chamorro
52
White, Native Hawaiian
53
White, Other Asian
55
White, Vietnamese
56
White, Korean
57
White, Japanese
59
White, Filipino
61
White, Filipino, Native Hawaiian
62
White, Chinese
63
White, Chinese, Native Hawaiian
65
White, Asian Indian
66
White, American Indian and Alaska Native
67
White, American Indian and Alaska Native, Some Other Race
68
White, Black or African American
69
White, Black, Some Other Race
70
White, Black, American Indian and Alaska Native
71
All other race combinations
This variable indicates the race of the individual.
Ethnicity and Language Variables -- PERSON
IPUMS
Race, American Indian and Alaska Native recode
Race, American Indian and Alaska Native recode
Race, American Indian and Alaska Native recode
Race, American Indian and Alaska Native recode
Race, American Indian and Alaska Native recode
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
All persons
1
No
2
Yes
This variable indicates "American Indian or Alaska Native" race, regardless of what additional race(s) the person reported, if any.
Ethnicity and Language Variables -- PERSON
IPUMS
Race, Asian recode
Race, Asian recode
Race, Asian recode
Race, Asian recode
Race, Asian recode
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
All persons
1
No
2
Yes
This variable indicates "Asian" race, regardless of what additional race(s) the person reported, if any.
Ethnicity and Language Variables -- PERSON
IPUMS
Race, black or African American recode
Race, black or African American recode
Race, black or African American recode
Race, black or African American recode
Race, black or African American recode
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
All persons
1
No
2
Yes
This variable indicates "Black, African Am., or Negro" race, regardless of what additional race(s) the person reported, if any.
Ethnicity and Language Variables -- PERSON
IPUMS
Race, Hawaiian and Other Pacific Islander recode
Race, Hawaiian and Other Pacific Islander recode
Race, Hawaiian and Other Pacific Islander recode
Race, Hawaiian and Other Pacific Islander recode
Race, Hawaiian and Other Pacific Islander recode
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
All persons
1
No
2
Yes
This variable indicates "Pacific Islander" race, regardless of what additional race(s) the person reported, if any.
Ethnicity and Language Variables -- PERSON
IPUMS
Number of major race groups
Number of major race groups
Number of major race groups
Number of major race groups
Number of major race groups
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
All persons
1
1 race group
2
2 race groups
3
3 race groups
4
4 race groups
5
5 race groups
6
6 race groups
This variable indicates the number of major race groups -- between 1 and 6 -- reported for each respondent.
Ethnicity and Language Variables -- PERSON
IPUMS
Race, other race recode
Race, other race recode
Race, other race recode
Race, other race recode
Race, other race recode
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
All persons
1
No
2
Yes
This variable indicates "some other race," regardless of what additional race(s) the person reported, if any.
Ethnicity and Language Variables -- PERSON
IPUMS
Race, white recode
Race, white recode
Race, white recode
Race, white recode
Race, white recode
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
All persons
1
No
2
Yes
This variable indicates "White" race, regardless of what additional race(s) the person reported, if any.
Ethnicity and Language Variables -- PERSON
IPUMS
Grade level attending
Grade level attending
Grade level attending
Grade level attending
Grade level attending
8. b. What grade or level was this person attending? Mark [X] one box.
[] Nursery school, preschool
[] Kindergarten
[] Grade 1 to grade 4
[] Grade 5 to grade 8
[] Grade 9 to grade 12
[] College undergraduate years (freshman to senior)
[] Graduate or professional school (for example. medical, dental, or law school)
Persons attending school
NIU (not in universe)
1
Nursery school/preschool
2
Kindergarten
3
Grade 1 to grade 4
4
Grade 5 to grade 8
5
Grade 9 to grade 12
6
College undergraduate
7
Graduate or professional school
This variable indicates the grade or level of recent schooling for people who attended "regular school or college" in the past two months.
Education Variables -- PERSON
IPUMS
Industry, NAICS
Industry, NAICS
Industry, NAICS
Industry, NAICS
Industry, NAICS
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
27. Industry or employer - Describe clearly this person's chief job activity or business last week. If this person had more than one job, describe the one at which this person worked the most hours. If this person had no job or business last week, give the information for his/her last job or business since 1995.
27. a. For whom did this person work? If now on active duty in the Armed Forces, mark [X] this box --> O and print the branch of the Armed Forces.
Name of company, business, or other employer
____
____
____
27. b. What kind of business or industry was this? Describe the activity at location where employed. (For example: hospital, newspaper publishing, mail order house, auto repair shop, bank)
____
____
____
27. c. Is this mainly - Mark [X] one box.
[] Manufacturing?
[] Wholesale trade?
[] Retail trade?
[] Other (agriculture, construction, service, government, etc.)?
Persons age 16+ who worked in the last five years; and persons seeking work who last worked more than 5 years ago
00000000
NIU (not in universe)
00000023
Scenic and sightseeing transportation
0000004M
Landscaping services
00000055
Knitting mills
00000111
Construction
00000112
Management of companies and enterprises
00000114
Fishing, hunting, and trapping
00000115
Support activities for agriculture and forestry
00000211
Oil and gas extraction
00000213
Furniture and home furnishings stores
0000022S
Pipeline transportation
0000031M
Beverage
00000323
Veneer, plywood, and engineered wood products
00000337
Beer, wine, and liquor stores
000003MS
Miscellaneous stores
0000042S
Investigation and security services
00000442
Outpatient care centers
00000447
Funeral homes, cemeteries and crematories
00000481
Sewing, needlework and piece goods stores
00000482
Book stores and news dealers
00000483
Department stores
00000484
Office supplies and stationary stores
00000486
Other direct selling establishments
00000487
Newspaper publishers
00000488
Wired telecommunications carriers
00000491
Libraries and archives
00000492
Video tape and disk rental
00000493
Veterinary services
000004MS
Office of chiropractors
00000524
U.S. Navy
00000531
U.S. Armed forces, branch not specified
0000053M
Natural gas distribution
00000562
Iron and steel mills and steel products
00000622
Toys, amusement, and sporting goods
00000711
Not specified trade
00000712
Radio, tv, and computer stores
00000814
Other schools, instruction and educational services
00000923
Other amusement, gambling, and recreation industries
00001133
Crop production
0000113M
Animal production
00002121
Support activities for mining
00002122
Printing and related support activities
00002123
Furniture and fixtures
00003113
Services incidental to transportation
00003114
Postal service
00003115
Couriers and messengers
00003116
Warehousing and storage
0000311S
Independent artists, performing arts, spectator sports and related industries
00003121
Museums, art galleries, historical sites, and similar institutions
00003122
Private households
00003131
Administration of human resource programs
00003133
Coal mining
0000314Z
Nonmetallic mineral mining and quarrying
00003152
Sugar and confectionery products
00003159
Fruit and vegetable preserving and specialty foods
00003162
Dairy products
0000316M
Animal slaughtering and processing
00003211
Tobacco
00003212
Fiber, yarn, and thread mills
00003221
Apparel accessories and other apparel
00003252
Agricultural chemicals
00003253
Pharmaceuticals and medicines
00003254
Paint, coating, and adhesives
00003255
Soap, cleaning compound, and cosmetics
00003256
Plastics products
0000325M
Glass and glass products
00003261
Miscellaneous nonmetallic mineral products
00003272
Cutlery and hand tools
00003279
Machine shops; turned products; screws, nuts and bolts
0000327M
Coating, engraving, heat treating and allied activities
00003313
Commercial and service industry machinery
00003314
Metalworking machinery
00003315
Engines, turbines, and power transmission equipment
0000331M
Computer and peripheral equipment
00003321
Navigational, measuring, electromedical, and control instruments
00003322
Household appliances
00003327
Railroad rolling stock
00003328
Ship and boat building
0000332M
Medical equipment and supplies
00003333
Professional and commercial equipment and supplies
00003335
Metals and minerals, except petroleum
00003336
Electrical goods
0000333M
Hardware, plumbing and heating equipment, and supplies
0000333S
Machinery, equipment, and supplies
00003341
Paper and paper products
00003345
Apparel, fabrics, and notions
00003352
Petroleum and petroleum products
0000335M
Alcoholic beverages
00003365
Auto parts, accessories, and tire stores
00003366
Lawn and garden equipment and supplies stores
00003369
Grocery stores
0000336M
Specialty food stores
00003391
Jewelry, luggage,and leather goods stores
000033MS
Used merchandise stores
00004211
ACS 2000-2002: Electronic shopping and mail-order houses
00004212
Vending machine operators
00004213
Taxi and limousine service
00004214
Software publishing
00004215
Motion pictures and video industries
00004216
Sound recording industries
00004217
ACS 2000-2002: Data processing services
00004218
Automotive equipment rental and leasing
00004221
Architectural, engineering, and related services
00004223
Specialized design services
00004224
Computer systems design and related services
00004225
Management, scientific and technical consulting services
00004227
Scientific research and development services
00004228
Advertising and related services
0000422M
Travel arrangements and reservation services
00004411
Elementary and secondary schools
00004412
Offices of physicians
00004413
Offices of dentists
00004442
Vocational rehabilitation services
00004451
Child day care services
00004452
Traveler accommodation
00004453
Drinking places, alcohol beverages
0000446Z
Commercial and industrial machinery and equipment repair and maintenance
00004483
Other personal services
0000451M
Carpets and rugs
00004529
Petroleum refining
00004531
Tires
00004533
Agricultural implements
00004539
Recyclable material
00004541
Farm supplies
00004542
Hardware stores
00004853
Gift, novelty, and souvenir shops
0000485M
Fuel dealers
00005112
Footwear and leather goods repair
00005121
Labor unions
00005122
Public finance activities
0000513M
Household appliance stores
00005142
Beauty salons
0000522M
U.S. Air Force
000052M1
U.S. Marines
000052M2
U.S. Coast Guard
00005321
Military reserves or national guard
0000532M
Electric power generation, transmission and distribution
00005411
Water, steam, air conditioning, and irrigation systems
00005412
Electric and gas, and other combinations
00005413
Not specified utilities
00005414
Bakeries, except retail
00005415
Animal food, grain and oilseed milling
00005416
Seafood and other miscellaneous foods, n.e.c.
00005417
Not specified food industries
00005418
Fabric mills, except knitting
00005613
Prefabricated wood buildings and mobile homes
00005614
Miscellaneous wood products
00005615
Miscellaneous paper and pulp products
00005616
Miscellaneous petroleum and coal products
0000561M
Cement, concrete, lime, and gypsum products
00006111
Ordnance
00006211
Machinery, n.e.c.
00006212
Not specified machinery
00006214
Aircraft and parts
00006216
Aerospace products and parts
0000621M
Motor vehicles and motor vehicle equipment
00006231
Miscellaneous manufacturing, n.e.c.
0000623M
Not specified metal industries
00006241
Not specified industries
00006242
Miscellaneous durable goods
00006243
Miscellaneous nondurable goods
00006244
Drugs, sundries, and chemical and allied products
0000713Z
Health and personal care, except drug, stores
00007211
Clothing and accessories, except shoe, stores
0000721M
Music stores
00007224
Bus service and urban transit
0000722Z
Sporting goods, camera, and hobby and toy stores
00008112
ACS 2000-2002: Other telecommunication services
00008113
Radio and television broadcasting and cable
00008122
Other consumer goods rental
00008123
Commercial, industrial, and other intangible assets rental and leasing
00008129
Other professional, scientific and technical services
00008131
Services to buildings and dwellings
0000813M
Business, technical, and trade schools and training
0000928Z
Executive offices and legislative bodies
000092M1
National security and international affairs
000092M2
Administration of environmental quality and housing programs
000092MP
Administration of economic programs and space research
00009920
Justice, public order, and safety activities
0002211P
Gasoline stations
0002212P
Air transportation
00022132
Rail transportation
0002213M
Water transportation
000221MP
Truck transportation
0003118Z
Real estate
000311M1
Waste management and remediation services
000311M2
Hospitals
0003132Z
Logging
00031411
Metal ore mining
00032221
Footwear
0003222M
Sawmills and wood preservation
00032411
Pulp, paper, and paperboard mills
0003241M
Resin, synthetic rubber and fibers, and filaments
00032621
Aluminum production and processing
0003262M
Nonferrous metal, except aluminum, production and processing
00032711
Foundries
00032712
Metal forgings and stampings
00033311
Furniture and home furnishing
0003331M
Lumber and other construction materials
000334M1
Groceries and related products
000334M2
Farm product raw materials
0003399M
Miscellaneous general merchandise stores
00042193
Legal services
0004219Z
Accounting, tax preparation, bookkeeping and payroll services
00042291
Employment services
0004229Z
Business support services
0004431M
Nursing care facilities
00044413
Individual and family services
0004441Z
Community food and housing, and emergency services
00044611
Electronic and precision equipment repair and maintenance
00044821
Drycleaning and laundry services
000448ZM
Religious organizations
00045113
Unemployed
00045121
Sewage treatment facilities
00045211
Paperboard containers and boxes
00045321
Pottery, ceramics, and related products
00045322
Structural clay products
00045431
Pharmacies and drug stores
00045439
Shoe stores
00051111
Offices of optometrists
0005111Z
Bowling centers
00051331
Other general government and support
0005133Z
Retail bakeries
00051412
Car washes
0005141Z
Barber shops
0005221M
U.S. Army
00053223
Forestry except logging
00054194
Textile product mills except carpets and rugs
0005419Z
Leather tanning and products, except footwear
00056173
Industrial and miscellaneous chemicals
0005617Z
Rubber products, except tires
000611M1
Structural metals, and tank and shipping containers
000611M2
Miscellaneous fabricated metal products
000611M3
Construction mining and oil field machinery
00062131
Communications, audio, and video equipment
00062132
Electronic components and products, n.e.c.
00071395
Building material and supplies dealers
0008111Z
Publishing, except newspapers and software
00081143
Other information services
0008114Z
Savings institutions, including credit unions
0008121M
Securities, commodities, funds, trusts, and other financial investments
00081393
Other administrative, and other support services
0008139Z
Colleges, including junior colleges, and universities
00092113
Offices of other health practitioners
00092119
Other health care services
00311811
Insurance carriers and related activities
0032199M
Textile and fabric finishing and coating mills
003219ZM
Cut and sew apparel
0033299M
Other transportation equipment
00332MZM
Motor vehicles, parts and supplies
003399ZM
Florists
00443111
Home health care services
006213ZM
Electrical machinery, equipment, and supplies, n.e.c.
00811192
Not specified trade
00812111
Non-depository credit and related activities
00812112
Banking and related activities
009211MP
Residential care facilities, without nursing
033641M1
Automobile dealers
033641M2
Other motor vehicle dealers
09281101
Recreational vehicle parks and camps, and rooming and boarding houses
09281102
Restaurants and other food services
09281103
Automotive repair and maintenance
09281104
Personal and household goods repair and maintenance
09281105
Nail salons and other personal care services
09281106
Business, professional, political and similar organizations
09281107
Civic, social, advocacy organizations and grantmaking and giving services
This variable indicates the type of establishment in which a person worked in terms of the good or service produced according to the North American Industrial Classification System developed in 1997.
Work: Industry Variables -- PERSON
IPUMS
Occupation, SOC
Occupation, SOC
Occupation, SOC
Occupation, SOC
Occupation, SOC
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
28. Occupation
28. a. What kind of work was this person doing? (For example: registered nurse, personnel manager, supervisor of order department, auto mechanic, accountant)
____
____
____
Persons age 16+ who worked in the last five years; and persons seeking work who last worked more than 5 years ago
000000
NIU (not in universe)
111011
Chief executives
111021
General and operations managers
111031
Legislators
112011
Advertising and promotions managers
112020
Marketing and sales managers
112031
Public relations managers
113011
Administrative services managers
113021
Computer and information systems managers
113031
Financial managers
113040
Human resources managers
113051
Industrial production managers
113061
Purchasing managers
113071
Transportation, storage, and distribution managers
119011
Farm, ranch, and other agricultural managers
119012
Farmers and ranchers
119021
Construction managers
119030
Education administrators
119041
Engineering managers
119051
Food service managers
119061
Funeral directors
119071
Gaming managers
119081
Lodging managers
119111
Medical and health services managers
119121
Natural sciences managers
119131
Postmasters and mail superintendents
119141
Property, real estate, and community association managers
119151
Social and community service managers
119199
Managers, all other
131011
Agents and business managers of artists, performers, and athletes
131021
Purchasing agents and buyers, farm products
131022
Wholesale and retail buyers, except farm products
131023
Purchasing agents, except wholesale, retail, and farm products
131030
Claims adjusters, appraisers, examiners, and investigators
131041
Compliance officers, except agriculture, construction, health and safety, and transportation
131051
Cost estimators
131070
Human resources, training, and labor relations specialists
131081
Logisticians
131111
Management analysts
131121
Meeting and convention planners
1311XX
Other business operations specialists
132011
Accountants and auditors
132021
Appraisers and assessors of real estate
132031
Budget analysts
132041
Credit analysts
132051
Financial analysts
132052
Personal financial advisors
132053
Insurance underwriters
132061
Financial examiners
132070
Loan counselors and officers
132081
Tax examiners, collectors, and revenue agents
132082
Tax preparers
132099
Financial specialists, all other
151021
Computer programmers
151030
Computer software engineers
151041
Computer support specialists
151061
Database administrators
151071
Network and computer systems administrators
151081
Network systems and data communications analysts
1510XX
Computer scientists and systems analysts
152011
Actuaries
152021
Mathematicians
152031
Operations research analysts
152041
Statisticians
152090
Miscellaneous mathematical science occupations
1520XX
Miscellaneous mathematical science occupations
171010
Architects, except naval
171020
Surveyors, cartographers, and photogrammetrists
172011
Aerospace engineers
172021
Agricultural engineers
172031
Biomedical engineers
172041
Chemical engineers
172051
Civil engineers
172061
Computer hardware engineers
172070
Electrical and electronics engineers
172081
Environmental engineers
172110
Industrial engineers, including health and safety
172121
Marine engineers and naval architects
172131
Materials engineers
172141
Mechanical engineers
172151
Mining and geological engineers, including mining safety engineers
172161
Nuclear engineers
172171
Petroleum engineers
172199
Engineers, all other
1721XX
Petroleum, mining and geological engineers
172XXX
Engineers, all other
173010
Drafters
173020
Engineering technicians, except drafters
173031
Surveying and mapping technicians
191010
Agricultural and food scientists
191020
Biological scientists
191030
Conservation scientists and foresters
191040
Medical scientists
192010
Astronomers and physicists
192021
Atmospheric and space scientists
192030
Chemists and materials scientists
192040
Environmental scientists and geoscientists
192099
Physical scientists, all other
193011
Economists
193020
Market and survey researchers
193030
Psychologists
193041
Sociologists
193051
Urban and regional planners
193090
Miscellaneous social scientists and related workers
1930XX
Miscellaneous social scientists
194011
Agricultural and food science technicians
194021
Biological technicians
194031
Chemical technicians
194041
Geological and petroleum technicians
194051
Nuclear technicians
1940XX
Other life, physical, and social science technicians
211010
Counselors
211020
Social workers
211090
Miscellaneous community and social service specialists
212011
Clergy
212021
Directors, religious activities and education
212099
Religious workers, all other
231011
Lawyers
231020
Judges, magistrates, and other judicial workers
232011
Paralegals and legal assistants
232090
Miscellaneous legal support workers
251000
Postsecondary teachers
252010
Preschool and kindergarten teachers
252020
Elementary and middle school teachers
252030
Secondary school teachers
252040
Special education teachers
253000
Other teachers and instructors
254010
Archivists, curators, and museum technicians
254021
Librarians
254031
Library technicians
259041
Teacher assistants
2590XX
Other education, training, and library workers
271010
Artists and related workers
271020
Designers
272011
Actors
272012
Producers and directors
272020
Athletes, coaches, umpires, and related workers
272030
Dancers and choreographers
272040
Musicians, singers, and related workers
272099
Entertainers and performers, sports and related workers, all other
273010
Announcers
273020
News analysts, reporters and correspondents
273031
Public relations specialists
273041
Editors
273042
Technical writers
273043
Writers and authors
273090
Miscellaneous media and communication workers
274010
Broadcast and sound engineering technicians and radio operators
274021
Photographers
274030
Television, video, and motion picture camera operators and editors
274099
Media and communication equipment workers, all other
2740XX
Broadcast and sound engineering technicians and other media equipment workers
291011
Chiropractors
291020
Dentists
291031
Dietitians and nutritionists
291041
Optometrists
291051
Pharmacists
291060
Physicians and surgeons
291071
Physician assistants
291081
Podiatrists
291111
Registered nurses
291121
Audiologists
291122
Occupational therapists
291123
Physical therapists
291124
Radiation therapists
291125
Recreational therapists
291126
Respiratory therapists
291127
Speech-language pathologists
291129
Therapists, all other
291131
Veterinarians
291199
Health diagnosing and treating practitioners, all other
292010
Clinical laboratory technologists and technicians
292021
Dental hygienists
292030
Diagnostic related technologists and technicians
292041
Emergency medical technicians and paramedics
292050
Health diagnosing and treating practitioner support technicians
292061
Licensed practical and licensed vocational nurses
292071
Medical records and health information technicians
292081
Opticians, dispensing
292090
Miscellaneous health technologists and technicians
299000
Other healthcare practitioners and technical occupations
311010
Nursing, psychiatric, and home health aides
312010
Occupational therapist assistants and aides
312020
Physical therapist assistants and aides
319011
Massage therapists
319091
Dental assistants
31909X
Medical assistants and other healthcare support occupations
331011
First-line supervisors/managers of correctional officers
331012
First-line supervisors/managers of police and detectives
331021
First-line supervisors/managers of fire fighting and prevention workers
331099
Supervisors, protective service workers, all other
332011
Fire fighters
332020
Fire inspectors
333010
Bailiffs, correctional officers, and jailers
333021
Detectives and criminal investigators
333031
Fish and game wardens
333041
Parking enforcement workers
333050
Police and sheriff's patrol officers
333051
Police and sheriff's patrol officers
333052
Transit and railroad police
3330XX
Miscellaneous law enforcement officers
339011
Animal control workers
339021
Private detectives and investigators
339030
Security guards and gaming surveillance officers
339091
Crossing guards
33909X
Lifeguards and other protective service workers
351011
Chefs and head cooks
351012
First-line supervisors/managers of food preparation and serving workers
352010
Cooks
352021
Food preparation workers
353011
Bartenders
353021
Combined food preparation and serving workers, including fast food
353022
Counter attendants, cafeteria, food concession, and coffee shop
353031
Waiters and waitresses
353041
Food servers, nonrestaurant
359011
Dining room and cafeteria attendants and bartender helpers
359021
Dishwashers
359031
Hosts and hostesses, restaurant, lounge, and coffee shop
359099
Food preparation and serving related workers, all other
3590XX
Miscellaneous food preparation and serving related workers
371011
First-line supervisors/managers of housekeeping and janitorial workers
371012
First-line supervisors/managers of landscaping, lawn service, and groundskeeping workers
372012
Maids and housekeeping cleaners
37201X
Janitors and building cleaners
372021
Pest control workers
373010
Grounds maintenance workers
391010
First-line supervisors/managers of gaming workers
391021
First-line supervisors/managers of personal service workers
392011
Animal trainers
392021
Nonfarm animal caretakers
393010
Gaming services workers
393021
Motion picture projectionists
393031
Ushers, lobby attendants, and ticket takers
393090
Miscellaneous entertainment attendants and related workers
394000
Funeral service workers
395011
Barbers
395012
Hairdressers, hairstylists, and cosmetologists
395090
Miscellaneous personal appearance workers
396010
Baggage porters, bellhops, and concierges
396020
Tour and travel guides
396030
Transportation attendants
399011
Child care workers
399021
Personal and home care aides
399030
Recreation and fitness workers
399041
Residential advisors
399099
Personal care and service workers, all other
411011
First-line supervisors/managers of retail sales workers
411012
First-line supervisors/managers of non-retail sales workers
412010
Cashiers
412021
Counter and rental clerks
412022
Parts salespersons
412031
Retail salespersons
413011
Advertising sales agents
413021
Insurance sales agents
413031
Securities, commodities, and financial services sales agents
413041
Travel agents
413099
Sales representatives, services, all other
414010
Sales representatives, wholesale and manufacturing
419010
Models, demonstrators, and product promoters
419020
Real estate brokers and sales agents
419031
Sales engineers
419041
Telemarketers
419091
Door-to-door sales workers, news and street vendors, and related workers
419099
Sales and related workers, all other
431011
First-line supervisors/managers of office and administrative support workers
432011
Switchboard operators, including answering service
432021
Telephone operators
432099
Communications equipment operators, all other
433011
Bill and account collectors
433021
Billing and posting clerks and machine operators
433031
Bookkeeping, accounting, and auditing clerks
433041
Gaming cage workers
433051
Payroll and timekeeping clerks
433061
Procurement clerks
433071
Tellers
434011
Brokerage clerks
434021
Correspondence clerks
434031
Court, municipal, and license clerks
434041
Credit authorizers, checkers, and clerks
434051
Customer service representatives
434061
Eligibility interviewers, government programs
434071
File clerks
434081
Hotel, motel, and resort desk clerks
434111
Interviewers, except eligibility and loan
434121
Library assistants, clerical
434131
Loan interviewers and clerks
434141
New accounts clerks
434151
Order clerks
434161
Human resources assistants, except payroll and timekeeping
434171
Receptionists and information clerks
434181
Reservation and transportation ticket agents and travel clerks
434199
Information and record clerks, all other
434XXX
Correspondence clerks and order clerks
435011
Cargo and freight agents
435021
Couriers and messengers
435030
Dispatchers
435041
Meter readers, utilities
435051
Postal service clerks
435052
Postal service mail carriers
435053
Postal service mail sorters, processors, and processing machine operators
435061
Production, planning, and expediting clerks
435071
Shipping, receiving, and traffic clerks
435081
Stock clerks and order fillers
435111
Weighers, measurers, checkers, and samplers, recordkeeping
436010
Secretaries and administrative assistants
439011
Computer operators
439021
Data entry keyers
439022
Word processors and typists
439031
Desktop publishers
439041
Insurance claims and policy processing clerks
439051
Mail clerks and mail machine operators, except postal service
439061
Office clerks, general
439071
Office machine operators, except computer
439081
Proofreaders and copy markers
439111
Statistical assistants
439199
Office and administrative support workers, all other
451010
First-line supervisors/managers of farming, fishing, and forestry workers
452011
Agricultural inspectors
452021
Animal breeders
452041
Graders and sorters, agricultural products
452090
Miscellaneous agricultural workers
4520XX
Miscellaneous agricultural workers
453000
Fishers and related fishing workers
453011
Fishing and hunting workers
453021
Hunters and trappers
454011
Forest and conservation workers
454020
Logging workers
471011
First-line supervisors/managers of construction trades and extraction workers
472011
Boilermakers
472020
Brickmasons, blockmasons, and stonemasons
472031
Carpenters
472040
Carpet, floor, and tile installers and finishers
472050
Cement masons, concrete finishers, and terrazzo workers
472061
Construction laborers
472071
Paving, surfacing, and tamping equipment operators
472072
Pile driver operators
472073
Construction equipment workers, except paving, surfacing, and tamping equipment operators
47207X
Miscellaneous construction equipment operators
472080
Drywall installers, ceiling tile installers, and tapers
472111
Electricians
472121
Glaziers
472130
Insulation workers
472141
Painters, construction and maintenance
472142
Paperhangers
472150
Pipelayers, plumbers, pipefitters, and steamfitters
472161
Plasterers and stucco masons
472171
Reinforcing iron and rebar workers
472181
Roofers
472211
Sheet metal workers
472221
Structural iron and steel workers
472XXX
Iron and steel workers
473010
Helpers, construction trades
474011
Construction and building inspectors
474021
Elevator installers and repairers
474031
Fence erectors
474041
Hazardous materials removal workers
474051
Highway maintenance workers
474061
Rail-track laying and maintenance equipment operators
474071
Septic tank servicers and sewer pipe cleaners
474090
Miscellaneous construction and related workers
475010
Derrick, rotary drill, and service unit operators, oil, gas, and mining
475021
Earth drillers, except oil and gas
475031
Explosives workers, ordnance handling experts, and blasters
475040
Mining machine operators
475061
Roof bolters, mining
475071
Roustabouts, oil and gas
475081
Helpers - extraction workers
4750XX
Other extraction workers
4750YY
Derrick, drill and service unit operators and roustabouts, oil, gas, mining
491011
First-line supervisors/managers of mechanics, installers, and repairers
492011
Computer, automated teller, and office machine repairers
492020
Radio and telecommunications equipment installers and repairers
492091
Avionics technicians
492092
Electric motor, power tool, and related repairers
492093
Electrical and electronics installers and repairers, transportation equipment
492096
Electronic equipment installers and repairers, motor vehicles
492097
Electronic home entertainment equipment installers and repairers
492098
Security and fire alarm systems installers
49209X
Electrical and electronics repairers, industrial and utility
493011
Aircraft mechanics and service technicians
493021
Automotive body and related repairers
493022
Automotive glass installers and repairers
493023
Automotive service technicians and mechanics
493031
Bus and truck mechanics and diesel engine specialists
493040
Heavy vehicle and mobile equipment service technicians and mechanics
493050
Small engine mechanics
493090
Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers
499010
Control and valve installers and repairers
499021
Heating, air conditioning, and refrigeration mechanics and installers
499031
Home appliance repairers
499042
Maintenance and repair workers, general
499043
Maintenance workers, machinery
499044
Millwrights
49904X
Industrial and refractory machinery mechanics
499051
Electrical power-line installers and repairers
499052
Telecommunications line installers and repairers
499060
Precision instrument and equipment repairers
499091
Coin, vending, and amusement machine servicers and repairers
499092
Commercial divers
499094
Locksmiths and safe repairers
499095
Manufactured building and mobile home installers
499096
Riggers
499097
Signal and track switch repairers
499098
Helpers--installation, maintenance, and repair workers
49909X
Other installation, maintenance, and repair workers
511011
First-line supervisors/managers of production and operating workers
512011
Aircraft structure, surfaces, rigging, and systems assemblers
512020
Electrical, electronics, and electromechanical assemblers
512031
Engine and other machine assemblers
512041
Structural metal fabricators and fitters
512090
Miscellaneous assemblers and fabricators
513011
Bakers
513020
Butchers and other meat, poultry, and fish processing workers
513091
Food and tobacco roasting, baking, and drying machine operators and tenders
513092
Food batchmakers
513093
Food cooking machine operators and tenders
514010
Computer control programmers and operators
514021
Extruding and drawing machine setters, operators, and tenders, metal and plastic
514022
Forging machine setters, operators, and tenders, metal and plastic
514023
Rolling machine setters, operators, and tenders, metal and plastic
514031
Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
514032
Drilling and boring machine tool setters, operators, and tenders, metal and plastic
514033
Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
514034
Lathe and turning machine tool setters, operators, and tenders, metal and plastic
514035
Milling and planing machine setters, operators, and tenders, metal and plastic
514041
Machinists
514050
Metal furnace and kiln operators and tenders
514060
Model makers and patternmakers, metal and plastic
514070
Molders and molding machine setters, operators, and tenders, metal and plastic
514081
Multiple machine tool setters, operators, and tenders, metal and plastic
514111
Tool and die makers
514120
Welding, soldering, and brazing workers
514191
Heat treating equipment setters, operators, and tenders, metal and plastic
514192
Lay-out workers, metal and plastic
514193
Plating and coating machine setters, operators, and tenders, metal and plastic
514194
Tool grinders, filers, and sharpeners
514199
Metalworkers and plastic workers, all other
514XXX
Other metal and plastic workers
515010
Bookbinders and bindery workers
515021
Job printers
515022
Prepress technicians and workers
515023
Printing machine operators
516011
Laundry and dry-cleaning workers
516021
Pressers, textile, garment, and related materials
516031
Sewing machine operators
516041
Shoe and leather workers and repairers
516042
Shoe machine operators and tenders
516050
Tailors, dressmakers, and sewers
516061
Textile bleaching and dyeing machine operators and tenders
516062
Textile cutting machine setters, operators, and tenders
516063
Textile knitting and weaving machine setters, operators, and tenders
516064
Textile winding, twisting, and drawing out machine setters, operators, and tenders
516091
Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers
516092
Fabric and apparel patternmakers
516093
Upholsterers
516099
Miscellaneous textile, apparel, and furnishings workers, except upholsterers
51609X
Miscellaneous textile, apparel, and furnishings workers, except upholsterers
517011
Cabinetmakers and bench carpenters
517021
Furniture finishers
517030
Model makers and patternmakers, wood
517041
Sawing machine setters, operators, and tenders, wood
517042
Woodworking machine setters, operators, and tenders, except sawing
517099
Woodworkers, all other
5170XX
Miscellaneous woodworkers
518010
Power plant operators, distributors, and dispatchers
518021
Stationary engineers and boiler operators
518031
Water and liquid waste treatment plant and system operators
518090
Miscellaneous plant and system operators
519010
Chemical processing machine setters, operators, and tenders
519020
Crushing, grinding, polishing, mixing, and blending workers
519030
Cutting workers
519041
Extruding, forming, pressing, and compacting machine setters, operators, and tenders
519051
Furnace, kiln, oven, drier, and kettle operators and tenders
519061
Inspectors, testers, sorters, samplers, and weighers
519071
Jewelers and precious stone and metal workers
519080
Medical, dental, and ophthalmic laboratory technicians
519111
Packaging and filling machine operators and tenders
519120
Painting workers
519130
Photographic process workers and processing machine operators
519141
Semiconductor processors
519191
Cementing and gluing machine operators and tenders
519192
Cleaning, washing, and metal pickling equipment operators and tenders
519193
Cooling and freezing equipment operators
519194
Etchers and engravers
519195
Molders, shapers, and casters, except metal and plastic
519196
Paper goods machine setters, operators, and tenders
519197
Tire builders
519198
Helpers--production workers
519199
Production workers, all other
5191XX
Other production workers
531000
Supervisors, transportation and material moving workers
532010
Aircraft pilots and flight engineers
532020
Air traffic controllers and airfield operations specialists
533011
Ambulance drivers and attendants, except emergency medical technicians
533020
Bus drivers
533030
Driver/sales workers and truck drivers
533041
Taxi drivers and chauffeurs
533099
Motor vehicle operators, all other
5330XX
Miscellaneous motor vehicle operators
534010
Locomotive engineers and operators
534021
Railroad brake, signal, and switch operators
534031
Railroad conductors and yardmasters
5340XX
Subway, streetcar, and other rail transportation workers
535011
Sailors and marine oilers
535020
Ship and boat captains and operators
535031
Ship engineers
536011
Bridge and lock tenders
536021
Parking lot attendants
536031
Service station attendants
536051
Transportation inspectors
5360XX
Other transportation workers
537011
Conveyor operators and tenders
537021
Crane and tower operators
537030
Dredge, excavating, and loading machine operators
537041
Hoist and winch operators
537051
Industrial truck and tractor operators
537061
Cleaners of vehicles and equipment
537062
Laborers and freight, stock, and material movers, hand
537063
Machine feeders and offbearers
537064
Packers and packagers, hand
537070
Pumping station operators
537081
Refuse and recyclable material collectors
537111
Shuttle car operators
537121
Tank car, truck, and ship loaders
537199
Material moving workers, all other
537XXX
Miscellaneous material moving workers
551000
Military officer special and tactical operations leaders/managers
551010
Military officer special and tactical operations leaders/managers
552000
First-line enlisted military supervisors/managers
552010
First-line enlisted military supervisors/managers
553000
Military enlisted tactical operations and air/weapons specialists and crew members
553010
Military enlisted tactical operations and air/weapons specialists and crew members
559830
Military, rank not specified
559920
Unemployed: in the labor force, who last worked more than 5 years ago
This variable indicates the person's primary occupation.
Work: Occupation Variables -- PERSON
IPUMS
Informed of work recall
Informed of work recall
Informed of work recall
Informed of work recall
Informed of work recall
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
-- Answer questions 25-26 for persons who did not work for pay or profit last week. Others skip to 27.
25. c. Has this person been informed that he or she will be recalled to work within the next 6 months or been given a date to return to work?
[] Yes [Go on to question 25e]
[] No
Persons age 15+, not at work during previous week
NIU (not in universe)
1
No
2
Yes
3
Not reported
This variable indicates whether or not the person has been informed that he or she will be recalled to work in the next six months OR has been given a date to return to work.
Work Variables -- PERSON
IPUMS
Supplementary Security Income
Supplementary Security Income
Supplementary Security Income
Supplementary Security Income
Supplementary Security Income
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
31. e. Supplemental Security Income (SSI)
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] No
Persons age 15+
This variable indicates how much pre-tax income (if any) the respondent received from Supplemental Security Income (SSI) during the previous 12 months.
Income Variables -- PERSON
IPUMS
Vision or hearing difficulty
Vision or hearing difficulty
Vision or hearing difficulty
Vision or hearing difficulty
Vision or hearing difficulty
16. Does this person have any of the following long-lasting conditions:
16. a. Blindness, deafness, or a severe vision or hearing impairment?
[] Yes
[] No
Persons age 5+
NIU (not in universe)
1
No
2
Yes
This variable indicates whether or not the respondent has a long-lasting condition of blindness, deafness, or a severe vision or hearing impairment.
Disability Variables -- PERSON
IPUMS
Physical difficulty
Physical difficulty
Physical difficulty
Physical difficulty
Physical difficulty
16. Does this person have any of the following long-lasting conditions:
16. b. A condition that substantially limits one or more basic physical activities such as walking, climbing stairs, reaching, lifting, or carrying?
[] Yes
[] No
Persons age 5+
NIU (not in universe)
1
No
2
Yes
This variable indicates whether or not the respondent has a long-lasting condition that substantially limits one or more basic physical activities.
Disability Variables -- PERSON
IPUMS
Difficulty remembering
Difficulty remembering
Difficulty remembering
Difficulty remembering
Difficulty remembering
17. Because of a physical, mental, or emotional condition lasting 6 months or more, does this person have any difficulty in doing any of the following activities:
17. a. Learning, remembering, or concentrating?
[] Yes
[] No
Persons age 5+
NIU (not in universe)
1
No
2
Yes
This variable indicates whether or not the respondent has any difficulty learning, remembering, or concentrating because of a physical, mental, or emotional condition lasting 6 months or more.
Disability Variables -- PERSON
IPUMS
Veteran, served 1990 to 1995
Veteran, served 1990 to 1995
Veteran, served 1990 to 1995
Veteran, served 1990 to 1995
Veteran, served 1990 to 1995
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
Persons age 17+
NIU (not in universe)
1
No
2
Yes, served this period
This variable indicates whether or not the respondent served at any time between August 1990 and March 1995 (including the Persian Gulf War).
Other Person Variables -- PERSON
IPUMS
Veteran, served April 1995 to 2000
Veteran, served April 1995 to 2000
Veteran, served April 1995 to 2000
Veteran, served April 1995 to 2000
Veteran, served April 1995 to 2000
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
20. b. When did this person serve on active duty in the U.S. Armed Forces? Mark [X] a box for each period in which this person served.
[] April 1995 or later
[] August 1990 to March 1995 (including Persian Gulf War)
[] September 1980 to July 1990
[] May 1975 to August 1980
[] Vietnam era (August 1964-April 1975)
[] February 1955 to July 1964
[] Korean conflict (June 1950-January 1955)
[] World War II (September 1940-July 1947)
[] Some other time
Persons age 17+
NIU (not in universe)
1
No
2
Yes, served this period
This variable indicates whether or not the respondent served at any time after April 1995.
Other Person Variables -- PERSON
IPUMS
Months responsible for grandchildren
Months responsible for grandchildren
Months responsible for grandchildren
Months responsible for grandchildren
Months responsible for grandchildren
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
19. c. How long has this grandparent been responsible for the(se) grandchild(ren)? If the grandparent is financially responsible for more than one grandchild, answer the question for the grandchild for whom the grandparent has been responsible for the longest period of time.
[] Less than 6 months
[] 6 to 11 months
[] 1 or 2 years
[] 3 or 4 years
[] 5 years or more
Persons age 30+, living with at least one grandchild under age 18 for whom he or she is responsible
NIU (not in universe)
1
Less than 6 months
2
6 to 11 months
3
1 to 2 years
4
3 to 4 years
5
5 or more years
This variable indicates the amount of time the respondent has been responsible for a co-resident grandchild.
Other Person Variables -- PERSON
IPUMS
Responsible for grandchildren
Responsible for grandchildren
Responsible for grandchildren
Responsible for grandchildren
Responsible for grandchildren
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
19. b. Is this grandparent currently responsible for most of the basic needs of any grandchild(ren) under the age of 18 who live(s) in this house or apartment?
[] Yes
[] No [Go on to question 20a]
Persons age 30+, living with grandchildren under age 18
NIU (not in universe)
1
No
2
Yes
This variable indicates whether the respondent is currently responsible for most of the basic needs of any grandchildren under the age of 18 living in this house or apartment.
Other Person Variables -- PERSON
IPUMS
Flag for vision or hearing difficulty
Flag for vision or hearing difficulty
Flag for vision or hearing difficulty
Flag for vision or hearing difficulty
Flag for vision or hearing difficulty
Flag for vision or hearing difficulty
All persons
Unaltered case
4
Allocated
This variable is a data quality flag for vision or hearing difficulty allocation.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for Supplementary Security Income
Flag for Supplementary Security Income
Flag for Supplementary Security Income
Flag for Supplementary Security Income
Flag for Supplementary Security Income
Flag for Supplementary Security Income
All persons
Unatered case
4
Allocated
This variable is a data quality flag for supplementary security income allocation.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for physical difficulty
Flag for physical difficulty
Flag for physical difficulty
Flag for physical difficulty
Flag for physical difficulty
Flag for physical difficulty
All persons
Unatered case
4
Allocated
This variable is a data quality flag for physical difficulty allocation.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for difficulty remembering
Flag for difficulty remembering
Flag for difficulty remembering
Flag for difficulty remembering
Flag for difficulty remembering
Flag for difficulty remembering
All persons
Unatered case
4
Allocated
This variable is a data quality flag for difficulty remembering allocation.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for own grandchildren under age 18 living in household
Flag for own grandchildren under age 18 living in household
Flag for own grandchildren under age 18 living in household
Flag for own grandchildren under age 18 living in household
Flag for own grandchildren under age 18 living in household
Flag for own grandchildren under age 18 living in household
All persons
Unaltered case
1
Unknown
2
Unknown
This variable is a data quality flag for grandchildren living with you allocation.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for months responsible for grandchildren
Flag for months responsible for grandchildren
Flag for months responsible for grandchildren
Flag for months responsible for grandchildren
Flag for months responsible for grandchildren
Flag for months responsible for grandchildren
All persons
Unatered case
4
Allocated
This variable is a data quality flag for responsible for grandchildren allocation.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for responsible for grandchildren
Flag for responsible for grandchildren
Flag for responsible for grandchildren
Flag for responsible for grandchildren
Flag for responsible for grandchildren
Flag for responsible for grandchildren
All persons
Unatered case
4
Allocated
This variable is a data quality flag for responsible for grandchildren allocation.
Person Imputation Flags Variables -- PERSON
IPUMS
Flag for grade level attending
Flag for grade level attending
Flag for grade level attending
Flag for grade level attending
Flag for grade level attending
Flag for grade level attending
All persons
Unatered case
4
Allocated
This variable is a data quality flag for Grade attending allocation.
Person Imputation Flags Variables -- PERSON
IPUMS
Poverty status, 2000 IPUMS
Poverty status, 2000 IPUMS
Poverty status, 2000 IPUMS
Poverty status, 2000 IPUMS
Poverty status, 2000 IPUMS
Poverty status, 2000 IPUMS
Not institutional group quarters; not in college dormitories or military quarters; not unrelated children under 15 years
This variable indicates poverty status individually for each distinct family unit in the household.
Income Variables -- PERSON
IPUMS
Race, general recode, 2000
Race, general recode, 2000
Race, general recode, 2000
Race, general recode, 2000
Race, general recode, 2000
6. What is this person's race? Mark [X] one or more races to indicate what this person considers himself/herself to be.
[] White
[] Black, African Am., or Negro
[] American Indian or Alaska Native - Print name of enrolled or principal tribe.
____
____
[] Asian Indian
[] Chinese
[] Filipino
[] Japanese
[] Korean
[] Vietnamese
[] Other Asian - Print race.
____
____
[] Native Hawaiian
[] Guamanian or Chamorro
[] Samoan
[] Other Pacific Islander - Print race.
____
____
[] Some other race - Print race.
____
____
1
White alone
2
Black or African American alone
3
American Indian alone
4
Alaska Native alone
5
American Indian and Alaska Native and no other race
6
Asian alone
7
Native Hawaiian and Other Pacific Islander alone
8
Other race alone
9
Two or more major race groups
This variable indicates the races reported to describe the person.
Ethnicity and Language Variables -- PERSON
IPUMS
Business and farm income, 2000
Business and farm income, 2000
Business and farm income, 2000
Business and farm income, 2000
Business and farm income, 2000
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
31. b. Self-employment income from own nonfarm businesses or farm businesses, including proprietorships and partnerships - Report net income after business expenses.
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] Loss
[] No
Persons age 15+
This variable indicates each respondent's net pre-income-tax business and/or professional practice income for the previous calendar year.
Income Variables -- PERSON
IPUMS
Place of work: metropolitan status, 2000
Place of work: metropolitan status, 2000
Place of work: metropolitan status, 2000
Place of work: metropolitan status, 2000
Place of work: metropolitan status, 2000
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.
a. Address (Number and street name)
____
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
____ b. Name of city, town, or post office
c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ d. Name of county
____ e. Name of U.S. state or foreign country
_ _ _ _ _ f. ZIP code
Persons age 16+ who worked last week
NIU (not in universe)
1
Worked outside the U S and Puerto Rico
11
Inside central city
12
Outside central city
13
Both inside and outside central city
14
Contains an entire MSA and no other territory
21
Inside central city
22
Outside central city
23
Both inside and outside central city
31
Inside central city
32
Outside central city
33
Both inside and outside central city
34
Contains an entire PMSA and no other territory
41
Inside central city
42
Outside central city
43
Both inside and outside central city
44
Contains an entire PMSA and no other territory
51
Inside central city
52
Outside central city
53
Both inside and outside central city
70
Contains both metropolitan and non-metropolitan territory
80
Contains only metropolitan territory in 2 or more partial and/or entire MSAs/PMSAs/CMSAs
90
Contains only nonmetropolitan territory
This variable indicates whether or not respondents who worked last week worked primarily within a metropolitan area, and, if so, whether the person worked within a metropolitan central city.
Work Variables -- PERSON
IPUMS
Metropolitan status 5 years ago, 2000
Metropolitan status 5 years ago, 2000
Metropolitan status 5 years ago, 2000
Metropolitan status 5 years ago, 2000
Metropolitan status 5 years ago, 2000
15. b. Where did this person live 5 years ago?
____ Name of city, town, or post office
Did this person live inside the limits of the city or town?
[] Yes
[] No, outside the city/town limits
____ Name of county
____ Name of state
_ _ _ _ _ ZIP code
Persons age 5+ who lived in a different house 5 years ago
NIU (not in universe)
1
Lived outside of the U S and Puerto Rico in 1995
2
Lived in Puerto Rico in 1995 and in the U S in 2000
11
Inside central city
12
Outside central city
13
Both inside and outside central city
14
Contains an entire MSA and no other territory
21
Inside central city
22
Outside central city
23
Both inside and outside central city
31
Inside central city
32
Outside central city
33
Both inside and outside central city
34
Contains an entire PMSA and no other territory
41
Inside central city
42
Outside central city
43
Both inside and outside central city
44
Contains an entire PMSA and no other territory
51
Inside central city
52
Outside central city
53
Both inside and outside central city
70
Contains both metropolitan and nonmetropolitan territory
80
Contains only metropolitan territory in two or more partial and/or entire MSAs/PMSAs/CMSAs
90
Contains only nonmetropolitan territory
This variable indicates whether the person lived in a metropolitan or non-metropolitan area 5 years ago, in terms of the smallest geographic identifier available in that census sample.
Migration Variables -- PERSON
IPUMS
Poverty status, original PUMS, 2000 criteria
Poverty status, original PUMS, 2000 criteria
Poverty status, original PUMS, 2000 criteria
Poverty status, original PUMS, 2000 criteria
Poverty status, original PUMS, 2000 criteria
Poverty status, original PUMS, 2000 criteria
All persons
This variable indicates the poverty status, original PUMS, 2000 criteria, for the individual.
Income Variables -- PERSON
IPUMS
Place of work: PUMA, 2000
Place of work: PUMA, 2000
Place of work: PUMA, 2000
Place of work: PUMA, 2000
Place of work: PUMA, 2000
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.
a. Address (Number and street name)
____
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
____ b. Name of city, town, or post office
c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ d. Name of county
____ e. Name of U.S. state or foreign country
_ _ _ _ _ f. ZIP code
Persons age 16+ who worked last week
This variable indicates the location of the respondent's primary workplace.
Work Variables -- PERSON
IPUMS
Retirement income
Retirement income
Retirement income
Retirement income
Retirement income
18. Was this person under 15 years of age on April 1, 2000?
[] Yes [Go on to question 33]
[] No
31. Income in 1999 - Mark [X] the "yes" box for each income source received during 1999 and enter the total amount received during 1999 to a maximum of $999,999. Mark [X] the "no" box if the income source was not received. If net income was a loss, enter the amount and mark [X] the "loss" box next to the dollar amount.
For income received jointly, report, if possible, the appropriate share for each person; otherwise, report the whole amount for only one person and mark the "no" box for the other person. If exact amount is not known, please give best estimate.
31. g. Retirement, survivor, or disability pensions - Do not include Social Security.
[] Yes
Annual amount - Dollars
$_ _ _ ,_ _ _ .00
[] No
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 calendar year.
Income Variables -- PERSON
IPUMS
Super-PUMA of residence 5 years ago
Super-PUMA of residence 5 years ago
Super-PUMA of residence 5 years ago
Super-PUMA of residence 5 years ago
Super-PUMA of residence 5 years ago
15. b. Where did this person live 5 years ago?
____ Name of city, town, or post office
Did this person live inside the limits of the city or town?
[] Yes
[] No, outside the city/town limits
____ Name of county
____ Name of state
_ _ _ _ _ ZIP code
Persons age 5+ who lived in a different house 5 years ago
NIU (not in universe)
1
1
2
2
10
10
20
20
30
30
40
40
50
50
60
60
69
69
70
70
79
79
80
80
81
81
88
88
89
89
90
90
91
91
99
99
100
100
110
110
120
120
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
240
240
259
259
270
270
300
300
309
309
400
400
409
409
500
500
600
600
700
700
800
800
809
809
900
900
This variable indicates the Super-PUMA in which the respondent lived 5 years ago.
Migration Variables -- PERSON
IPUMS
Place of work: Super-PUMA, 2000
Place of work: Super-PUMA, 2000
Place of work: Super-PUMA, 2000
Place of work: Super-PUMA, 2000
Place of work: Super-PUMA, 2000
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.
a. Address (Number and street name)
____
____
(If the exact address is not known, give a description of the location such as the building name or the nearest street or intersection.)
____ b. Name of city, town, or post office
c. Is the work location inside the limits of that city or town?
[] Yes
[] No, outside the city/town limits
____ d. Name of county
____ e. Name of U.S. state or foreign country
_ _ _ _ _ f. ZIP code
Persons age 16+ who worked last week
NIU (not in universe)
1
1
10
10
11
11
12
12
20
20
30
30
40
40
41
41
42
42
50
50
51
51
52
52
60
60
70
70
80
80
81
81
82
82
85
85
88
88
89
89
90
90
91
91
99
99
100
100
101
101
102
102
110
110
120
120
121
121
122
122
129
129
130
130
132
132
133
133
139
139
140
140
150
150
152
152
159
159
160
160
170
170
180
180
190
190
200
200
201
201
202
202
210
210
220
220
230
230
240
240
250
250
260
260
270
270
300
300
309
309
400
400
409
409
500
500
600
600
700
700
800
800
900
900
This variable indicates the location of the respondent's primary workplace.
Work Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
Age
All persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
92
92
93
93
This variable indicates the person's age.
Work Variables -- PERSON
IPUMS
Birth year
Birth year
Birth year
Birth year
Birth year
Birth year
All persons
1907
1907
1908
1908
1911
1911
1912
1912
1913
1913
1914
1914
1915
1915
1916
1916
1917
1917
1918
1918
1919
1919
1920
1920
1921
1921
1922
1922
1923
1923
1924
1924
1925
1925
1926
1926
1927
1927
1928
1928
1929
1929
1930
1930
1931
1931
1932
1932
1933
1933
1934
1934
1935
1935
1936
1936
1937
1937
1938
1938
1939
1939
1940
1940
1941
1941
1942
1942
1943
1943
1944
1944
1945
1945
1946
1946
1947
1947
1948
1948
1949
1949
1950
1950
1951
1951
1952
1952
1953
1953
1954
1954
1955
1955
1956
1956
1957
1957
1958
1958
1959
1959
1960
1960
1961
1961
1962
1962
1963
1963
1964
1964
1965
1965
1966
1966
1967
1967
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1978
1978
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1988
1988
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
This variable indicates the person's year of birth.
Work 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
Disability status
Disability status
Disability status
Disability status
Disability status
NIU (not in universe)
1
Yes, disabled
2
No, not disabled
9
Unknown
DISABLED indicates whether the person reported a disability of any kind.
Disability Variables -- PERSON
IPUMS
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
Country of residence 5 years ago
Country of residence 5 years ago
Country of residence 5 years ago
Country of residence 5 years ago
Country of residence 5 years ago
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11999
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12999
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13020
Egypt/United Arab Rep.
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13999
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14999
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15999
Western Africa, n.s.
19999
Africa, n.s.
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St. Thomas
21240
St. Vincent
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21280
Curacao
21290
Sint Maarten
21999
Caribbean, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22990
Central America, n.s.
22991
Central America and Caribbean
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23999
South America, n.s.
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24041
U.S. Outlying Areas and Territories
24999
North or Central America, n.s.
29999
Americas, n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
32900
South Asia, not specified
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33030
East Timor
33040
Indonesia
33050
Laos
33060
Malaysia
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestine
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34151
Syria/Lebanon
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34999
Middle East, n.e.c.
39999
Asia, n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41030
Czech Republic
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41999
Eastern Europe, n.e.c.
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42110
Sweden
42120
United Kingdom
42199
Scandinavia
42999
Northern Europe, n.e.c.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43999
Southern Europe, n.s.
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxembourg
44022
Benelux (Belgium/Netherlands/Luxembourg)
44030
France
44040
Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44999
Western Europe, n.e.c.
49999
Europe, n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
52999
Melanesia, n.e.c.
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53999
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Tokelau
54070
Tonga
54080
Tuvalu
54090
Wallis and Futuna Isls.
54999
Polynesia, n.e.c.
59999
Oceania, n.s.
60000
Other
60010
Other Arab country
90000
Non-migrants (international)
99998
Response suppressed
99999
Unknown
MIGCTRY5 indicates the country of residence 5 years ago for international migrants. Persons who did not live abroad 5 years earlier are coded to the "non-migrant" category.
Migration Variables -- PERSON
IPUMS
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