DDI_IND_1983_NSS38-SCH10_v01_M_v03_A_IPUMS
Minnesota Population Center
2016-04-25
NADA
Version 6.4 (April 2016): Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.
The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.
Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)
Socio-Economic Survey, Household Schedule 10: Employment and Unemployment January to December, 1983 - IPUMS Subset
NSS38-SCH10 1983 (IPUMS Harmonized Subset)
IND_1983_NSS38-SCH10_v01_M_v03_A_IPUMS
National Sample Survey Organization, Government of India
Minnesota Population Center
(c) Copyright 1983, National Sample Survey Organization, Government of India and Minnesota Population Center
NADA
National Sample Survey Organization, Government of India
Population and Housing Census [hh/popcen]
Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.
In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming.
In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.
Technical Household Variables -- HOUSEHOLD
Group Quarters Variables -- HOUSEHOLD
Geography: Global Variables -- HOUSEHOLD
Constructed Household Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Constructed Family Interrelationship Variables -- PERSON
Demographic Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Income Variables -- PERSON
Migration Variables -- PERSON
Geography: A-L Variables -- HOUSEHOLD
Other Household Variables -- HOUSEHOLD
Household Economic Variables -- HOUSEHOLD
Work: Industry Variables -- PERSON
Work: Occupation Variables -- PERSON
Other Person Variables -- PERSON
Ethnicity and Language 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.
India
National coverage
Region
Household
UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: No
UNIT DESCRIPTIONS:
- Households: One of more individuals who normally reside together under the same roof and take food in the same kitchen, including temporary stay aways and excluding temporary visitors.
Not specified
Census/enumeration data [cen]
MICRODATA SOURCE: National Sample Survey Organization, Government of India
SAMPLE DESIGN: Drawn by the NSSO, details not specified
SAMPLE UNIT: Household
SAMPLE FRACTION: .09%
SAMPLE SIZE (person records): 623,494
Face-to-face [f2f]
A single form that consists of 10 sections: 1) identification of sample household, 2) household characteristics, 3) demographic and current activity particulars during the preceding week, 4) demographic characteristics of migrants and their usual activity at the time of migration, 5) current activity of people in the labor force, 6) usual activity, 7) usual subsidiary gainful activity of persons who did not work, but not because of being old or disabled, 8) follow-up questions for persons whose principal activities were working, 9) persons who usually attended domestic duties, and 10) household indebtedness.
De jure, CENSUS DAY: January to December 1983, FIELD WORK PERIOD: One-year period from January to December, 1983
Direct interview
Calculated by the NSSO based on stratified sample design
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:
India, National Sample Survey Organization, Government of India, Socio-Economic Survey, Household Schedule 10: Employment and Unemployment, January to December, 1983
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.
IND1983-H-H
Household records
0
59
IND1983-P-H
Person records
0
114
Record type
Record type
Record type
Record type
Record type
RECTYPE identifies the type of record for the case: household or person.
NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types.
RECTYPE is a 1-digit alphabetic (non-numeric) variable.
H = Household record
P = Person record
Technical Household Variables -- HOUSEHOLD
IPUMS
Year
Year
Year
Year
Year
1960
1960
1962
1962
1963
1963
1964
1964
1966
1966
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
YEAR gives the year in which the census was taken.
Technical Household Variables -- HOUSEHOLD
IPUMS
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
32197001
Argentina 1970
32199101
Argentina 1991
32200101
Argentina 2001
32201001
Argentina 2010
32219801
Argentina 1980
40197101
Austria 1971
40198101
Austria 1981
40199101
Austria 1991
40200101
Austria 2001
40201101
Austria 2011
50199101
Bangladesh 1991
50200101
Bangladesh 2001
50201101
Bangladesh 2011
51200101
Armenia 2001
51201101
Armenia 2011
68197601
Bolivia 1976
68199201
Bolivia 1992
68200101
Bolivia 2001
76196001
Brazil 1960
76197001
Brazil 1970
76198001
Brazil 1980
76199101
Brazil 1991
76200001
Brazil 2000
76201001
Brazil 2010
112199901
Belarus 1999
116199801
Cambodia 1998
116200801
Cambodia 2008
120197601
Cameroon 1976
120198701
Cameroon 1987
120200501
Cameroon 2005
124197101
Canada 1971
124198101
Canada 1981
124199101
Canada 1991
124200101
Canada 2001
152196001
Chile 1960
152197001
Chile 1970
152198201
Chile 1982
152199201
Chile 1992
152200201
Chile 2002
156198201
China 1982
156199001
China 1990
170196401
Colombia 1964
170197301
Colombia 1973
170198501
Colombia 1985
170199301
Colombia 1993
170200501
Colombia 2005
188196301
Costa Rica 1963
188197301
Costa Rica 1973
188198401
Costa Rica 1984
188200001
Costa Rica 2000
188201101
Costa Rica 2011
192200201
Cuba 2002
214196001
Dominican Republic 1960
214197001
Dominican Republic 1970
214198101
Dominican Republic 1981
214200201
Dominican Republic 2002
214201001
Dominican Republic 2010
218196201
Ecuador 1962
218197401
Ecuador 1974
218198201
Ecuador 1982
218199001
Ecuador 1990
218200101
Ecuador 2001
218201001
Ecuador 2010
222199201
El Salvador 1992
222200701
El Salvador 2007
231198401
Ethiopia 1984
231199401
Ethiopia 1994
231200701
Ethiopia 2007
242196601
Fiji 1966
242197601
Fiji 1976
242198601
Fiji 1986
242199601
Fiji 1996
242200701
Fiji 2007
250196201
France 1962
250196801
France 1968
250197501
France 1975
250198201
France 1982
250199001
France 1990
250199901
France 1999
250200601
France 2006
250201101
France 2011
275199701
Palestine 1997
275200701
Palestine 2007
276197001
Germany 1970 (West)
276197101
Germany 1971 (East)
276198101
Germany 1981 (East)
276198701
Germany 1987 (West)
288198401
Ghana 1984
288200001
Ghana 2000
288201001
Ghana 2010
300197101
Greece 1971
300198101
Greece 1981
300199101
Greece 1991
300200101
Greece 2001
324198301
Guinea 1983
324199601
Guinea 1996
332197101
Haiti 1971
332198201
Haiti 1982
332200301
Haiti 2003
348197001
Hungary 1970
348198001
Hungary 1980
348199001
Hungary 1990
348200101
Hungary 2001
356198341
India 1983
356198741
India 1987
356199341
India 1993
356199941
India 1999
356200441
India 2004
360197101
Indonesia 1971
360197601
Indonesia 1976
360198001
Indonesia 1980
360198501
Indonesia 1985
360199001
Indonesia 1990
360199501
Indonesia 1995
360200001
Indonesia 2000
360200501
Indonesia 2005
360201001
Indonesia 2010
364200601
Iran 2006
368199701
Iraq 1997
372197101
Ireland 1971
372197901
Ireland 1979
372198101
Ireland 1981
372198601
Ireland 1986
372199101
Ireland 1991
372199601
Ireland 1996
372200201
Ireland 2002
372200601
Ireland 2006
372201101
Ireland 2011
376197201
Israel 1972
376198301
Israel 1983
376199501
Israel 1995
380200101
Italy 2001
388198201
Jamaica 1982
388199101
Jamaica 1991
388200101
Jamaica 2001
400200401
Jordan 2004
404196901
Kenya 1969
404197901
Kenya 1979
404198901
Kenya 1989
404199901
Kenya 1999
404200901
Kenya 2009
417199901
Kyrgyz Republic 1999
417200901
Kyrgyz Republic 2009
430197401
Liberia 1974
430200801
Liberia 2008
454198701
Malawi 1987
454199801
Malawi 1998
454200801
Malawi 2008
458197001
Malaysia 1970
458198001
Malaysia 1980
458199101
Malaysia 1991
458200001
Malaysia 2000
466198701
Mali 1987
466199801
Mali 1998
466200901
Mali 2009
484196001
Mexico 1960
484197001
Mexico 1970
484199001
Mexico 1990
484199501
Mexico 1995
484200001
Mexico 2000
484200501
Mexico 2005
484201001
Mexico 2010
496198901
Mongolia 1989
496200001
Mongolia 2000
504198201
Morocco 1982
504199401
Morocco 1994
504200401
Morocco 2004
508199701
Mozambique 1997
508200701
Mozambique 2007
524200101
Nepal 2001
528196001
Netherlands 1960
528197101
Netherlands 1971
528200101
Netherlands 2001
558197101
Nicaragua 1971
558199501
Nicaragua 1995
558200501
Nicaragua 2005
566200621
Nigeria 2006
566200721
Nigeria 2007
566200821
Nigeria 2008
566200921
Nigeria 2009
566201021
Nigeria 2010
586197301
Pakistan 1973
586198101
Pakistan 1981
586199801
Pakistan 1998
591196001
Panama 1960
591197001
Panama 1970
591198001
Panama 1980
591199001
Panama 1990
591200001
Panama 2000
591201001
Panama 2010
600196201
Paraguay 1962
600197201
Paraguay 1972
600198201
Paraguay 1982
600199201
Paraguay 1992
600200201
Paraguay 2002
604199301
Peru 1993
604200701
Peru 2007
608199001
Philippines 1990
608199501
Philippines 1995
608200001
Philippines 2000
620198101
Portugal 1981
620199101
Portugal 1991
620200101
Portugal 2001
620201101
Portugal 2011
630197001
Puerto Rico 1970
630198001
Puerto Rico 1980
630199001
Puerto Rico 1990
630200001
Puerto Rico 2000
630200501
Puerto Rico 2005
630201001
Puerto Rico 2010
642197701
Romania 1977
642199201
Romania 1992
642200201
Romania 2002
646199101
Rwanda 1991
646200201
Rwanda 2002
662198001
Saint Lucia 1980
662199101
Saint Lucia 1991
686198801
Senegal 1988
686200201
Senegal 2002
694200401
Sierra Leone 2004
704198901
Vietnam 1989
704199901
Vietnam 1999
704200901
Vietnam 2009
705200201
Slovenia 2002
710199601
South Africa 1996
710200101
South Africa 2001
710200701
South Africa 2007
710201101
South Africa 2011
724198101
Spain 1981
724199101
Spain 1991
724200101
Spain 2001
724201101
Spain 2011
728200801
South Sudan 2008
729200801
Sudan 2008
756197001
Switzerland 1970
756198001
Switzerland 1980
756199001
Switzerland 1990
756200001
Switzerland 2000
764197001
Thailand 1970
764198001
Thailand 1980
764199001
Thailand 1990
764200001
Thailand 2000
792198501
Turkey 1985
792199001
Turkey 1990
792200001
Turkey 2000
800199101
Uganda 1991
800200201
Uganda 2002
804200101
Ukraine 2001
818199601
Egypt 1996
818200601
Egypt 2006
826199101
United Kingdom 1991
826200101
United Kingdom 2001
834198801
Tanzania 1988
834200201
Tanzania 2002
840196001
United States 1960
840197001
United States 1970
840198001
United States 1980
840199001
United States 1990
840200001
United States 2000
840200501
United States 2005
840201001
United States 2010
854198501
Burkina Faso 1985
854199601
Burkina Faso 1996
854200601
Burkina Faso 2006
858196301
Uruguay 1963
858197501
Uruguay 1975
858198501
Uruguay 1985
858199601
Uruguay 1996
858200621
Uruguay 2006
858201101
Uruguay 2011
862197101
Venezuela 1971
862198101
Venezuela 1981
862199001
Venezuela 1990
862200101
Venezuela 2001
894199001
Zambia 1990
894200001
Zambia 2000
894201001
Zambia 2010
SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows:
The first 3 digits are the ISO/UN codes used in COUNTRY
The next 4 digits are the year of the census/survey
The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41).
Technical Household Variables -- HOUSEHOLD
IPUMS
Household serial number
Household serial number
Household serial number
Household serial number
Household serial number
SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database.
SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred:
Chile 1970, 1992, 2002
Colombia 1993, 2005
Costa Rica 1984, 2000
Cuba 2002
Dominican Republic 1981, 2002, 2010
Ecuador 1990, 2001
Germany 1971
Hungary 1980, 1990, 2001
Jamaica 1982, 1991, 2001
Malaysia 1970, 1991, 2000
Mexico 1995, 1990, 2000, 2005
Nigeria 2006
Panama 2000
Peru 1993, 2007
Portugal 1981, 1991, 2001
Spain 1991
Uruguay 2011
Venezuela 1990, 2001
Vietnam 1989
In all other samples, the last 3 digits are always zeroes.
SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.
SERIAL is a 10-digit numeric variable.
The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.
PERSONS is a 3-digit numeric variable.
Technical Household Variables -- HOUSEHOLD
IPUMS
Subsample number
Subsample number
Subsample number
Subsample number
Subsample number
1st 1% subsample
1
2nd 1% subsample
2
3rd 1% subsample
3
4th 1% subsample
4
5th 1% subsample
5
6th 1% subsample
6
7th 1% subsample
7
8th 1% subsample
8
9th 1% subsample
9
10th 1% subsample
10
11th 1% subsample
11
12th 1% subsample
12
13th 1% subsample
13
14th 1% subsample
14
15th 1% subsample
15
16th 1% subsample
16
17th 1% subsample
17
18th 1% subsample
18
19th 1% subsample
19
20th 1% subsample
20
21st 1% subsample
21
22nd 1% subsample
22
23rd 1% subsample
23
24th 1% subsample
24
25th 1% subsample
25
26th 1% subsample
26
27th 1% subsample
27
28th 1% subsample
28
29th 1% subsample
29
30th 1% subsample
30
31st 1% subsample
31
32nd 1% subsample
32
33rd 1% subsample
33
34th 1% subsample
34
35th 1% subsample
35
36th 1% subsample
36
37th 1% subsample
37
38th 1% subsample
38
39th 1% subsample
39
40th 1% subsample
40
41st 1% subsample
41
42nd 1% subsample
42
43rd 1% subsample
43
44th 1% subsample
44
45th 1% subsample
45
46th 1% subsample
46
47th 1% subsample
47
48th 1% subsample
48
49th 1% subsample
49
50th 1% subsample
50
51st 1% subsample
51
52nd 1% subsample
52
53rd 1% subsample
53
54th 1% subsample
54
55th 1% subsample
55
56th 1% subsample
56
57th 1% subsample
57
58th 1% subsample
58
59th 1% subsample
59
60th 1% subsample
60
61st 1% subsample
61
62nd 1% subsample
62
63rd 1% subsample
63
64th 1% subsample
64
65th 1% subsample
65
66th 1% subsample
66
67th 1% subsample
67
68th 1% subsample
68
69th 1% subsample
69
70th 1% subsample
70
71st 1% subsample
71
72nd 1% subsample
72
73rd 1% subsample
73
74th 1% subsample
74
75th 1% subsample
75
76th 1% subsample
76
77th 1% subsample
77
78th 1% subsample
78
79th 1% subsample
79
80th 1% subsample
80
81st 1% subsample
81
82nd 1% subsample
82
83rd 1% subsample
83
84th 1% subsample
84
85th 1% subsample
85
86th 1% subsample
86
87th 1% subsample
87
88th 1% subsample
88
89th 1% subsample
89
90th 1% subsample
90
91st 1% subsample
91
92nd 1% subsample
92
93rd 1% subsample
93
94th 1% subsample
94
95th 1% subsample
95
96th 1% subsample
96
97th 1% subsample
97
98th 1% subsample
98
99th 1% subsample
99
100th 1% subsample
SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples.
Technical Household Variables -- HOUSEHOLD
IPUMS
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Vacant
10
Households
20
Group quarters, n.s.
21
Institutions
22
Other group quarters
29
1-person unit created by splitting large household
99
Unknown/group quarters not identified
GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools.
Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification.
Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
UNREL indicates the number of persons in the household who are unrelated to the head.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
Urban-rural status
1
Rural
2
Urban
9
Unknown
URBAN indicates whether the household was located in a place designated as urban or as rural.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Continent and region of country
Continent and region of country
Continent and region of country
Continent and region of country
Continent and region of country
11
Eastern Africa
12
Middle Africa
13
Northern Africa
14
Southern Africa
15
Western Africa
21
Caribbean
22
Central America
23
North America
24
South America
31
Central Asia
32
Eastern Asia
33
Southern Asia
34
South-Eastern Asia
35
Western Asia
41
Eastern Europe
42
Northern Europe
43
Southern Europe
44
Western Europe
51
Australia and New Zealand
52
Melanesia
53
Micronesia
54
Polynesia
REGIONW identifies the continent and region of each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Household classification
Household classification
Household classification
Household classification
Household classification
Vacant household
1
One-person household
2
Married/cohab couple, no children
3
Married/cohab couple with children
4
Single-parent family
5
Polygamous family
6
Extended family, relatives only
7
Composite household, family and non-relatives
8
Non-family household
9
Unclassified subfamily
10
Other relative or non-relative household
11
Group quarters
99
Unclassifiable
HHTYPE is a constructed variable that describes the composition of households.
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Vacant household
1
1 family
2
2 families
3
3 families
4
4 families
5
5 families
6
6 families
7
7 families
8
8 families
9
9 or more families
NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Head's location in household
Head's location in household
Head's location in household
Head's location in household
Head's location in household
HEADLOC gives the person number of the head of household in samples in which persons are organized into households.
This is a 3-digit numeric variable with 0 implied decimal places
Constructed Household Variables -- HOUSEHOLD
IPUMS
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
32002
City of Buenos Aires [Province: Argentina]
32006
Buenos Aires province [Province: Argentina]
32010
Catamarca [Province: Argentina]
32014
CĂłrdoba [Province: Argentina]
32018
Corrientes [Province: Argentina]
32022
Chaco [Province: Argentina]
32026
Chubut [Province: Argentina]
32030
Entre RĂos [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
RĂo 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
PotosĂ [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
PiauĂ [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
EspĂrito Santo [State: Brazil]
76033
Rio de Janeiro [State: Brazil]
76035
SĂŁo 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 AraucanĂa [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
BolĂvar and Sucre [Department: Colombia]
170015
Boyacá and Casanare [Department: Colombia]
170018
Caquetá [Department: Colombia]
170019
Cauca [Department: Colombia]
170023
CĂłrdoba [Department: Colombia]
170025
Cundinamarca [Department: Colombia]
170027
ChocĂł [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, QuindĂo, 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, VaupĂ©s, and GuainĂa [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
LimĂłn [Province: Costa Rica]
192001
Pinar del RĂo [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
CamagĂĽey [Province: Cuba]
192010
Las Tunas [Province: Cuba]
192011
HolguĂn [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
DajabĂłn [Province: Dominican Republic]
214006
Duarte [Province: Dominican Republic]
214007
ElĂas 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
MarĂa 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 CristĂłbal and Monte Plata [Province: Dominican Republic]
214022
San Juan [Province: Dominican Republic]
214023
San Pedro de MacorĂs [Province: Dominican Republic]
214024
Sánchez RamĂrez [Province: Dominican Republic]
214025
Santiago [Province: Dominican Republic]
214026
Santiago RodrĂguez [Province: Dominican Republic]
214027
Valverde [Province: Dominican Republic]
218001
Azuay [Province: Ecuador]
218002
BolĂvar [Province: Ecuador]
218004
Carchi [Province: Ecuador]
218005
Cotopaxi [Province: Ecuador]
218006
Chimborazo [Province: Ecuador]
218007
El Oro [Province: Ecuador]
218009
Cañar, Esmeraldas, Guayas, ManabĂ, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los RĂos, 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, SucumbĂos [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 UniĂłn [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
RĂ©union Island [Oversea Department, France]
250011
ĂŽle-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
RhĂ´ne-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-WĂĽrttemberg [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
SĂ©gou [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
MĂ©xico [State: Meico]
484016
Michoacán [State: Meico]
484017
Morelos [State: Meico]
484018
Nayarit [State: Meico]
484019
Nuevo LeĂłn [State: Meico]
484020
Oaxaca [State: Meico]
484021
Puebla [State: Meico]
484022
Querétaro [State: Meico]
484023
Quintana Roo [State: Meico]
484024
San Luis PotosĂ [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-Ă–lgii [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
SĂĽkhbaatar [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-BĂ©ni 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-TĂ©touan [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
MadrĂz [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
RĂo 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
ColĂłn, Comarca Kuna Yala (San Blas) [Province: Panama]
591004
Bocas de Toro, ChiriquĂ, Comarca Ngäbe BuglĂ©, Veraguas [Province: Panama]
591005
Comarca Emberá, Darién [Province: Panama]
591006
Herrera [Province: Panama]
591007
Los Santos [Province: Panama]
591008
Panamá [Province: Panama]
600000
AsunciĂłn [Department: Paraguay]
600001
ConcepciĂłn [Department: Paraguay]
600002
San Pedro [Department: Paraguay]
600007
ItapĂşa [Department: Paraguay]
600008
Misiones and Ă‘eembucĂş [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
ApurĂmac [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
JunĂn [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 MartĂn [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
MĂ©dio Tejo [Subregion: Portugal]
620169
Other Center [Subregion: Portugal]
620171
Grande Lisboa [Subregion: Portugal]
620172
PenĂnsula de SetĂşbal [Subregion: Portugal]
620185
LezĂria do Tejo [Subregion: Portugal]
620189
Other Alentejo [Subregion: Portugal]
620200
Região Autónoma dos Açores [Subregion: Portugal]
620300
RegiĂŁo AutĂłnoma 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
PaĂs 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
AragĂłn [Communities and Autonomous Cities: Spain]
724030
Comunidad de Madrid [Communities and Autonomous Cities: Spain]
724041
Castilla y LeĂłn [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
AndalucĂa [Communities and Autonomous Cities: Spain]
724062
RegiĂłn de Murcia [Communities and Autonomous Cities: Spain]
724063
Ciudad AutĂłnoma de Ceuta [Communities and Autonomous Cities: Spain]
724064
Ciudad AutĂłnoma 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 DĂĽzce [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
GĂĽmĂĽshane 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
KĂĽtahya [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
PaysandĂş [Department: Uruguay]
858012
RĂo 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
TacuarembĂł [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
BolĂvar [State: Venezuela]
862008
Carabobo [State: Venezuela]
862009
Cojedes [State: Venezuela]
862010
Amacuros Delta Federal Territory [State: Venezuela]
862011
FalcĂłn [State: Venezuela]
862012
Guárico [State: Venezuela]
862013
Lara [State: Venezuela]
862014
Barinas, MĂ©rida [State: Venezuela]
862015
Miranda [State: Venezuela]
862016
Monagas [State: Venezuela]
862017
Nueva Esparta, Federal Dependencies [State: Venezuela]
862018
Portuguesa [State: Venezuela]
862019
Sucre [State: Venezuela]
862020
Táchira [State: Venezuela]
862021
Trujillo [State: Venezuela]
862022
Yaracuy [State: Venezuela]
862023
Zulia [State: Venezuela]
894001
Central [Province: Zambia]
894002
Copperbelt [Province: Zambia]
894003
Eastern, Muchinga, Northern [Province: Zambia]
894004
Luapula [Province: Zambia]
894005
Lusaka [Province: Zambia]
894008
North Western [Province: Zambia]
894009
Southern [Province: Zambia]
894010
Western [Province: Zambia]
GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
All households
This variable indicates the dwelling number of the household.
This is a 6-digit numeric variable with 0 implied decimal places
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of persons in household
Number of persons in household
Number of persons in household
Number of persons in household
Number of persons in household
Number of persons in household
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
35
35
This variable indicates the number of persons in the household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Urban
Urban
Urban
Urban
Urban
Area:
[] 1 Rural*
[] 2 Urban
All households
1
Rural
2
Urban
This variable indicates whether the household was located in an urban or rural area.
Geography: A-L Variables -- HOUSEHOLD
IPUMS
State
State
State
State
State
[1] Identification of sample household
1. _____ Serial number
2. _____ State-region
3. _____ Stratum
4. _____ Sub-sample
5. _____ Sample village/block no.*
6. _____ Sub-round
7. _____ Sample household no.
All households
2
Andhra Pradesh
3
Assam
4
Bihar
5
Gujarat
6
Haryana
7
Himachal Pradesh
8
Jammu and Kashmir
9
Karnataka
10
Kerala
11
Madhya Pradesh
12
Maharashtra
13
Manipur
14
Meghalaya
15
Nagaland
16
Orissa
17
Punjab
18
Rajasthan
19
Sikkim
20
Tamil Nadu
21
Tripura
22
Uttar Pradesh
23
West Bengal
24
Andaman and Nicobar Islands
25
Arunachal Pradesh
26
Chandigarh
27
Dadra and Nagar Haveli
28
Delhi
29
Goa, Daman and Diu
30
Lakshadweep
31
Mizoram
32
Pondicherry
This variable indicates the state where the household was located.
Geography: A-L Variables -- HOUSEHOLD
IPUMS
Region
Region
Region
Region
Region
[1] Identification of sample household
1. _____ Serial number
2. _____ State-region
3. _____ Stratum
4. _____ Sub-sample
5. _____ Sample village/block no.*
6. _____ Sub-round
7. _____ Sample household no.
All households
21
Coastal (Andhra Pradesh)
22
Inland Northern (Andhra Pradesh)
23
South-Western (Andhra Pradesh)
24
Inland Southern (Andhra Pradesh)
31
Plains Eastern (Assam)
32
Plains Western (Assam)
33
Hills (Assam)
41
Southern (Bihar)
42
Northern (Bihar)
43
Central (Bihar)
51
Eastern (Gujarat)
52
Plains Northern (Gujarat)
53
Plains Southern (Gujarat)
54
Dry areas (Gujarat)
55
Saurashtra (Gujarat)
61
Eastern (Haryana)
62
Western (Haryana)
71
Himachal Pradesh (Himachal Pradesh)
81
Mountainous (Jammu and Kashmir)
82
Outer Hills (Jammu and Kashmir)
83
Jhelam Valley (Jammu and Kashmir)
91
Coastal and Ghats (Karnataka)
92
Inland Eastern (Karnataka)
93
Inland Southern (Karnataka)
94
Inland Northern (Karnataka)
101
Northern (Kerala)
102
Southern (Kerala)
111
Chhattisgarh (Madhya Pradesh)
112
Vindhya (Madhya Pradesh)
113
Central (Madhya Pradesh)
114
Malwa (Madhya Pradesh)
115
South (Madhya Pradesh)
116
South-Western (Madhya Pradesh)
117
Northern (Madhya Pradesh)
121
Coastal (Maharashtra)
122
Inland Western (Maharashtra)
123
Inland Northern (Maharashtra)
124
Inland Central (Maharashtra)
125
Inland Eastern (Maharashtra)
126
Eastern (Maharashtra)
131
Plains (Manipur)
132
Hills (Manipur)
141
Meghalaya (Meghalaya)
151
Nagaland (Nagaland)
161
Coastal (Orissa)
162
Southern (Orissa)
163
Northern (Orissa)
171
Northern (Punjab)
172
Southern (Punjab)
181
Western (Rajasthan)
182
North-Eastern (Rajasthan)
183
Southern (Rajasthan)
184
South-Eastern (Rajasthan)
191
Sikkim (Sikkim)
201
Coastal Northern (Tamil Nadu)
202
Coastal (Tamil Nadu)
203
Southern (Tamil Nadu)
204
Inland (Tamil Nadu)
211
Tripura (Tripura)
221
Himalayan (Uttar Pradesh)
222
Western (Uttar Pradesh)
223
Central (Uttar Pradesh)
224
Eastern (Uttar Pradesh)
225
Southern (Uttar Pradesh)
231
Himalayan (West Bengal)
232
Eastern Plains (West Bengal)
233
Central Plains (West Bengal)
234
Western Plains (West Bengal)
241
Andaman and Nicobar Islands (Andaman and Nicober Islands)
251
Arunachal Pradesh (Arunachal Pradesh)
261
Chandigarh (Chandigarh)
271
Dadra and Nagar Haveli (Dadra and Nagar Haveli)
281
Delhi (Delhi)
291
Goa, Daman and Diu (Goa, Daman and Diu)
301
Lakshadweep (Lakshadweep)
311
Mizoram (Mizoram)
321
Pondicherry (Pondicherry)
This variable indicates the region where the household was located.
Geography: A-L Variables -- HOUSEHOLD
IPUMS
Stratum
Stratum
Stratum
Stratum
Stratum
[1] Identification of sample household
1. _____ Serial number
2. _____ State-region
3. _____ Stratum
4. _____ Sub-sample
5. _____ Sample village/block no.*
6. _____ Sub-round
7. _____ Sample household no.
All households
This variable indicates the sampling stratum of the household.
This is a 5-digit numeric variable with 0 implied decimal places
Technical Household Variables -- HOUSEHOLD
IPUMS
Sub-sample
Sub-sample
Sub-sample
Sub-sample
Sub-sample
[1] Identification of sample household
1. _____ Serial number
2. _____ State-region
3. _____ Stratum
4. _____ Sub-sample
5. _____ Sample village/block no.*
6. _____ Sub-round
7. _____ Sample household no.
All households
1
1
2
2
9
Unknown
This variable indicates the sampling sub-sample number of the household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Sub-round
Sub-round
Sub-round
Sub-round
Sub-round
[1] Identification of sample household
1. _____ Serial number
2. _____ State-region
3. _____ Stratum
4. _____ Sub-sample
5. _____ Sample village/block no.*
6. _____ Sub-round
7. _____ Sample household no.
All households
1
1
2
2
3
3
4
4
This variable indicates the sampling sub-round number of the household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Sample household number
Sample household number
Sample household number
Sample household number
Sample household number
[1] Identification of sample household
1. _____ Serial number
2. _____ State-region
3. _____ Stratum
4. _____ Sub-sample
5. _____ Sample village/block no.*
6. _____ Sub-round
7. _____ Sample household no.
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
This variable indicates the sample household number.
Technical Household Variables -- HOUSEHOLD
IPUMS
Household group
Household group
Household group
Household group
Household group
5. Household group:
[] 1 Scheduled tribe
[] 2 Scheduled caste
[] 3 Neo-buddhist
[] 9 Others
All households
1
Scheduled tribe
2
Scheduled caste
3
Neo-buddhist
4
Others
9
Unknown
This variable indicates the social group to which the household belonged.
Other Household Variables -- HOUSEHOLD
IPUMS
Sample village/block number
Sample village/block number
Sample village/block number
Sample village/block number
Sample village/block number
[1] Identification of sample household
1. _____ Serial number
2. _____ State-region
3. _____ Stratum
4. _____ Sub-sample
5. _____ Sample village/block no.*
6. _____ Sub-round
7. _____ Sample household no.
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
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
999
Unknown
This variable indicates the sample village or block number of the household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Informant type
Informant type
Informant type
Informant type
Informant type
18. Informant:
[] 1 Head of household
[] 2 Other member of household
[] 9 Others
All households
1
Head of household
2
Other member of household
3
Others
9
Unknown
This variable indicates whether the respondent of enumeration was the household head, other household member, or others.
Technical Household Variables -- HOUSEHOLD
IPUMS
Informant cooperation
Informant cooperation
Informant cooperation
Informant cooperation
Informant cooperation
19. Type of informant:
[] 1 Co-operative and capable
[] 2 Co-operative but not capable
[] 3 Busy
[] 4 Reluctant
[] 9 Others
All households
1
Cooperative and capable
2
Cooperative but not capable
3
Busy
4
Reluctant
5
Others
9
Unknown
This variable indicates how cooperative the respondent was during the enumeration.
Technical Household Variables -- HOUSEHOLD
IPUMS
Survey type
Survey type
Survey type
Survey type
Survey type
20. Survey:
[] 1 Original household surveyed
[] 2 Substitute household surveyed
[] 3 Casualty (nothing surveyed)
All households
1
Original household surveyed
2
Substitute household surveyed
3
Casualty (nothing surveyed)
9
Unknown
This variable indicates whether the household was surveyed or not and whether it was the original or substitute household if surveyed.
Technical Household Variables -- HOUSEHOLD
IPUMS
Household size
Household size
Household size
Household size
Household size
1. _____ Household size
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
35
35
40
40
99
Unknown
This variable indicates the number of people in the household.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Household type
Household type
Household type
Household type
Household type
3. Household type:
(i) For rural areas:
[] 1 Household self-employed in non-agricultural occupations
[] 2 Agricultural labour households
[] 3 Other labour households
[] 4 Households self-employed in agricultural occupations
[] 9 Other households
(ii) For urban areas:
[] 1 Self-employed households
[] 9 Other households
All households
1
Household self-employed in non-agricultural occupations
2
Agricultural labor households
3
Other labor households
4
Households self-employed in agricultural occupations
5
Other households
9
Unknown
This variable indicates the type of household.
Household Economic Variables -- HOUSEHOLD
IPUMS
Household religion
Household religion
Household religion
Household religion
Household religion
4. Household religion:
[] 1 Hinduism
[] 2 Islam
[] 3 Christianity
[] 4 Sikhism
[] 5 Jainism
[] 6 Buddhism
[] 7 Zoroastrianism
[] 9 Others
All households
1
Hinduism
2
Islam
3
Christianity
4
Sikhism
5
Jainism
6
Buddhism
7
Zoroastrianism
8
Others
9
Unknown
This variable indicates the primary religion of the household members.
Other Household Variables -- HOUSEHOLD
IPUMS
Homestead ownership
Homestead ownership
Homestead ownership
Homestead ownership
Homestead ownership
6. Homestead type:
[] 1 Owned
[] 9 Others
All households
1
Owned
2
Others
9
Unknown
This variable indicates whether the household owned the house or house site where its members resided.
Household Economic Variables -- HOUSEHOLD
IPUMS
Land owned (acres)
Land owned (acres)
Land owned (acres)
Land owned (acres)
Land owned (acres)
Household land particulars (0.00 acres)
[Questions 7-11]
7. _____ Owned
8. _____ Leased in
9. _____ Neither owned nor leased in
10. _____ Leased out
11. _____ Total possessed (7+8+9-10)
All households
This variable indicates the area of the land that the household owned in acres.
IN83A039 is a 6-digit numeric variable.
999999 = Unknown.
Household Economic Variables -- HOUSEHOLD
IPUMS
Total land possessed (acres)
Total land possessed (acres)
Total land possessed (acres)
Total land possessed (acres)
Total land possessed (acres)
Household land particulars (0.00 acres)
[Questions 7-11]
7. _____ Owned
8. _____ Leased in
9. _____ Neither owned nor leased in
10. _____ Leased out
11. _____ Total possessed (7+8+9-10)
All households
This variable indicates the total amount of land in acres that the household possessed.
IN83A043 is a 6-digit numeric variable.
999999 = Unknown.
Household Economic Variables -- HOUSEHOLD
IPUMS
Grouped total land possessed
Grouped total land possessed
Grouped total land possessed
Grouped total land possessed
Grouped total land possessed
Household land particulars (0.00 acres)
[Questions 7-11]
7. _____ Owned
8. _____ Leased in
9. _____ Neither owned nor leased in
10. _____ Leased out
11. _____ Total possessed (7+8+9-10)
All households
1
2
Less than 1 acre
3
1-49
4
50-99
5
100-249
6
250-499
7
500-749
8
750-999
9
1000-1499
10
1500-1999
11
2000+
99
Unknown
This variable indicates the grouped total amount of land that the household possessed.
Household Economic Variables -- HOUSEHOLD
IPUMS
Land labour code
Land labour code
Land labour code
Land labour code
Land labour code
Land labour code
Labor households in rural area
1
Agricultural labor households with cultivated land
2
Agricultural labor households without cultivated land
3
Other labor households with cultivated land
4
Other labor households without cultivated land
8
Unknown
9
NIU (not in universe)
This variable indicates whether the household was a labor household, whether it was an agricultural household or not, and whether it possessed any cultivated land.
Other Household Variables -- HOUSEHOLD
IPUMS
Use of hired labour for crop production
Use of hired labour for crop production
Use of hired labour for crop production
Use of hired labour for crop production
Use of hired labour for crop production
17. Use of hired labour for crop production:
[] 1 Regularly
[] 2 During peak season only
[] 3 Casually
[] 4 Hires no labour for crop production
[] 5 Households with no crop production
All households
1
Regularly
2
During peak season only
3
Casually
4
Hires no labor for crop production
5
Households with no crop production
9
Unknown
This variable indicates whether the household hired any labor for crop production and if yes, how often.
Household Economic Variables -- HOUSEHOLD
IPUMS
Use of hired labor for other productive enterprises
Use of hired labor for other productive enterprises
Use of hired labor for other productive enterprises
Use of hired labor for other productive enterprises
Use of hired labor for other productive enterprises
18. Use of hired labour for other productive enterprises:
[] 1 Regularly
[] 2 During peak season only
[] 3 Casually
[] 4 Hires no labour for other productive enterprises
[] 5 Households with no other productive enterprises
All households
1
Regularly
2
During peak season only
3
Casually
4
Hires no labor for other productive enterprises
5
Households with no other productive enterprises
9
Unknown
This variable indicates whether the household hired labor for other productive enterprises and if yes, how often.
Household Economic Variables -- HOUSEHOLD
IPUMS
Household monthly per capita expenditure
Household monthly per capita expenditure
Household monthly per capita expenditure
Household monthly per capita expenditure
Household monthly per capita expenditure
19. _____ Household monthly per-capita expenditure last month (Rs. 0.00)
All households
This variable indicates the monthly per capita expenditure of the household in the month preceding the survey (Rs.0.00).
IN83A054 is a 7-digit numeric variable.
9999999 = Unknown.
Household Economic Variables -- HOUSEHOLD
IPUMS
Household monthly per capita expenditure grouped
Household monthly per capita expenditure grouped
Household monthly per capita expenditure grouped
Household monthly per capita expenditure grouped
Household monthly per capita expenditure grouped
Household monthly per capita expenditure grouped
All households
1
1-2999
2
3000-3999
3
4000-4999
4
5000-5999
5
6000-6999
6
7000-8499
7
8500-9999
8
10000-12499
9
12500-14999
10
15000-19999
11
20000-24999
12
25000-29999
13
30000+
99
Unknown
This variable indicates the grouped per capita expenditure of the household in the month preceding the survey.
Household Economic Variables -- HOUSEHOLD
IPUMS
Migration during last 365 days
Migration during last 365 days
Migration during last 365 days
Migration during last 365 days
Migration during last 365 days
20. Whether the household moved to the village/town of enumeration during the last 365 days:
[] 1 Yes
[] 2 No [skip to Section 4.1]
All households
1
Yes
2
No
9
Unknown
This variable indicates the whether the household moved to the village or town of enumeration during last 365 days.
Other Household Variables -- HOUSEHOLD
IPUMS
Type of last residence if moved in the last 365 days
Type of last residence if moved in the last 365 days
Type of last residence if moved in the last 365 days
Type of last residence if moved in the last 365 days
Type of last residence if moved in the last 365 days
21. If yes in item 20, type of last residence (place):
[Question 21 was asked of persons whose household moved to the village or town of enumeration during the last 365 days, per Question 20.]
[] 1 Rural areas of the same district
[] 2 Urban areas of the same district
[] 3 Rural areas of other districts of the same state
[] 4 Urban areas of other districts of the same state
[] 5 Rural areas of other states
[] 6 Urban areas of other states
[] 7 Other countries
Households that moved to the enumeration village or town during the last 365 days
1
Rural areas of the same district
2
Urban areas of the same district
3
Rural areas of other districts of the same state
4
Urban areas of other districts of the same state
5
Rural areas of other states
6
Urban areas of other states
7
Other countries
8
Unknown
9
NIU (not in universe)
This variable indicates the type of residence the household lived in previously if the household moved in the last 365 days.
Other Household Variables -- HOUSEHOLD
IPUMS
Temporary or permanent migration
Temporary or permanent migration
Temporary or permanent migration
Temporary or permanent migration
Temporary or permanent migration
22. Whether the movement was temporary or permanent:
[Question 22 was asked of persons whose household moved to the village or town of enumeration during the last 365 days, per Question 20.]
[] 1 Temporary: seasonal
[] 2 Temporary: non-seasonal
[] 3 Permanent
Households that moved to the enumeration village or town during the last 365 days
1
Temporary; seasonal
2
Temporary; non-seasonal
3
Permanent
8
Unknown
9
NIU (not in universe)
This variable indicates the whether the migration of the household in the past 365 days was temporary or permanent.
Other Household Variables -- HOUSEHOLD
IPUMS
Reason for migration
Reason for migration
Reason for migration
Reason for migration
Reason for migration
23. Reason for the movement:
[Question 23 was asked of persons whose household moved to the village or town of enumeration during the last 365 days, per Question 20.]
[] 1 In search of work
[] 2 On work
[] 9 Others
Households that moved to the enumeration village or town during the last 365 days
1
In search of work
2
On work
3
Others
8
Unknown
9
NIU (not in universe)
This variable indicates the reason that the household moved during the last 365 days.
Other Household Variables -- HOUSEHOLD
IPUMS
Multiplier-1 (stratum level)
Multiplier-1 (stratum level)
Multiplier-1 (stratum level)
Multiplier-1 (stratum level)
Multiplier-1 (stratum level)
Multiplier-1 (stratum level)
All households
This variable provides the multiplier value for estimates at the stratum level.
This is a 5-digit numeric variable with 0 implied decimal places
Technical Household Variables -- HOUSEHOLD
IPUMS
Multiplier-2 (sub-sample level)
Multiplier-2 (sub-sample level)
Multiplier-2 (sub-sample level)
Multiplier-2 (sub-sample level)
Multiplier-2 (sub-sample level)
Multiplier-2 (sub-sample level)
All households
This variable provides the multiplier value for estimates using one of the 2 subsamples of the dataset (IN83A023).
This is a 5-digit numeric variable with 0 implied decimal places
Technical Household Variables -- HOUSEHOLD
IPUMS
Multiplier-3 (sub-round level)
Multiplier-3 (sub-round level)
Multiplier-3 (sub-round level)
Multiplier-3 (sub-round level)
Multiplier-3 (sub-round level)
Multiplier-3 (sub-round level)
All households
This variable provides the multiplier value for estimates using one of the 4 subrounds of the dataset (IN83A024).
This is a 5-digit numeric variable with 0 implied decimal places
Technical Household Variables -- HOUSEHOLD
IPUMS
Multiplier-4 (for combined estimates)
Multiplier-4 (for combined estimates)
Multiplier-4 (for combined estimates)
Multiplier-4 (for combined estimates)
Multiplier-4 (for combined estimates)
Multiplier-4 (for combined estimates)
All households
This variable provides the multiplier value for combined estimates using all rounds/subsamples of the dataset. It is used to create the integrated variables WTPER and WTHH.
This is a 5-digit numeric variable with 0 implied decimal places
Technical Household Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
HHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Household Variables -- HOUSEHOLD
IPUMS
India, State 1983 - 2004 [Level 1; consistent boundaries, GIS]
India, State 1983 - 2004 [Level 1; consistent boundaries, GIS]
India, State 1983 - 2004 [Level 1; consistent boundaries, GIS]
India, State 1983 - 2004 [Level 1; consistent boundaries, GIS]
India, State 1983 - 2004 [Level 1; consistent boundaries, GIS]
356001
Jammu and Kashmir
356002
Himachal Pradesh
356003
Punjab
356004
Chandigarh
356006
Haryana
356007
Delhi
356008
Rajasthan
356009
Uttar Pradesh and Uttaranchal
356010
Bihar and Jharkhand
356011
Sikkim
356012
Arunachal Pradesh
356013
Nagaland
356014
Manipur
356015
Mizoram
356016
Tripura
356017
Meghalaya
356018
Assam
356019
West Bengal
356021
Orissa
356023
Chhattisgarh and Madhya Pradesh
356024
Gujarat
356026
Dadra and Nagar Haveli
356027
Maharashtra
356028
Andhra Pradesh
356029
Karnataka
356030
Daman and Diu and Goa
356031
Lakshadweep
356032
Kerala
356033
Tamil Nadu
356034
Pondicherry
356035
Andaman and Nicobar Islands
GEO1_IN identifies the household's state within India in all sample years. States are the first level administrative units of the country. GEO1_IN is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_IN can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for India 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 India. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.
Geography: A-L Variables -- HOUSEHOLD
IPUMS
India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name]
India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name]
India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name]
India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name]
India, State 1983 - 2004 [Level 1; inconsistent boundaries, harmonized by name]
1
Jammu and Kashmir
2
Himachal Pradesh
3
Punjab
4
Chandigarh
5
Uttaranchal
6
Haryana
7
Delhi
8
Rajasthan
9
Uttar Pradesh
10
Bihar
11
Sikkim
12
Arunachal Pradesh
13
Nagaland
14
Manipur
15
Mizoram
16
Tripura
17
Meghalaya
18
Assam
19
West Bengal
20
Jharkhand
21
Orissa
22
Chhattisgarh
23
Madhya Pradesh
24
Gujarat
25
Daman and Diu
26
Dadra and Nagar Haveli
27
Maharashtra
28
Andhra Pradesh
29
Karnataka
30
Goa
31
Lakshadweep
32
Kerala
33
Tamil Nadu
34
Pondicherry
35
Andaman and Nicobar Islands
36
Goa, Daman and Diu
GEO1_INX identifies the household's state within India in all sample years. States are the first level administrative units of the country. GEO1_INX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for India 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 India. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.
Geography: A-L Variables -- HOUSEHOLD
IPUMS
India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name]
India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name]
India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name]
India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name]
India, Region 1984 - 2004 [Level 2; inconsistent boundaries, harmonized by name]
11
Mountainous
12
Outer Hills
13
Jhelam Valley
21
Himachal Pradesh
31
Northern
32
Southern
41
Chandigarh
61
Eastern
62
Western
71
Delhi
81
Western
82
North-Eastern
83
Southern
84
South-Eastern
91
Western
92
Central
93
Eastern
94
Southern
95
Himalayan
101
Northern
102
Central
103
Southern
111
Sikkim
121
Arunachal Pradesh
131
Nagaland
141
Plains
142
Hills
151
Mizoram
161
Tripura
171
Meghalaya
181
Plains Eastern
182
Plains Western
183
Hills
191
Himalayan
192
Eastern Plains
193
Central Plains
194
Western Plains
211
Coastal
212
Southern
213
Northern
231
Vindhya
232
Central
233
Malwa
234
South
235
South-Western
236
Northern
237
Chhattisgarh
241
Eastern
242
Plains Northern
243
Plains Southern
244
Dry areas
245
Saurashtra
251
Daman and Diu
261
Dadra and Nagar Haveli
271
Coastal
272
Inland Western
273
Inland Northern
274
Inland Central
275
Inland Eastern
276
Eastern
281
Coastal
282
Inland Northern
283
South-Western
284
Inland Southern
291
Coastal and Ghats
292
Inland Eastern
293
Inland Southern
294
Inland Northern
301
Goa
311
Lakshadweep
321
Northern
322
Southern
331
Coastal Northern
332
Coastal
333
Southern
334
Inland
341
Pondicherry
351
Andaman and Nicobar Islands
361
Goa, Daman and Diu
GEO2_INX identifies the household's region within India in all sample years. Regions are the second level administrative units of the country, after states. Regions are created by the National Sample Survey (NSS) as a second level of territorial organization.
GEO2_INX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for India 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 India. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.
Geography: A-L Variables -- HOUSEHOLD
IPUMS
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
No married couples in household
1
1 couple
2
2 couples
3
3 couples
4
4 couples
5
5 couples
6
6 couples
7
7 couples
8
8 couples
9
9 or more couples
NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
No mothers in household
1
1 mother
2
2 mothers
3
3 mothers
4
4 mothers
5
5 mothers
6
6 mothers
7
7 mothers
8
8 mothers
9
9 or more mothers in household
NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
No fathers in household
1
1 father
2
2 fathers
3
3 fathers
4
4 fathers
5
5 fathers
6
6 fathers
7
7 fathers
8
8 fathers
9
9 or more fathers in household
NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Country
Country
Country
Country
Country
32
Argentina
40
Austria
50
Bangladesh
51
Armenia
68
Bolivia
76
Brazil
112
Belarus
116
Cambodia
120
Cameroon
124
Canada
152
Chile
156
China
170
Colombia
188
Costa Rica
192
Cuba
214
Dominican Republic
218
Ecuador
222
El Salvador
231
Ethiopia
242
Fiji
250
France
275
Palestine
276
Germany
288
Ghana
300
Greece
324
Guinea
332
Haiti
348
Hungary
356
India
360
Indonesia
364
Iran
368
Iraq
372
Ireland
376
Israel
380
Italy
388
Jamaica
400
Jordan
404
Kenya
417
Kyrgyz Republic
430
Liberia
454
Malawi
458
Malaysia
466
Mali
484
Mexico
496
Mongolia
504
Morocco
508
Mozambique
524
Nepal
528
Netherlands
558
Nicaragua
566
Nigeria
586
Pakistan
591
Panama
600
Paraguay
604
Peru
608
Philippines
620
Portugal
630
Puerto Rico
642
Romania
646
Rwanda
662
Saint Lucia
686
Senegal
694
Sierra Leone
704
Vietnam
705
Slovenia
710
South Africa
724
Spain
728
South Sudan
729
Sudan
756
Switzerland
764
Thailand
792
Turkey
800
Uganda
804
Ukraine
818
Egypt
826
United Kingdom
834
Tanzania
840
United States
854
Burkina Faso
858
Uruguay
862
Venezuela
894
Zambia
COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
Technical Household Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
NIU (not in universe)
1
Owned
2
Not owned
9
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
NIU (not in universe)
100
Owned
110
Owned, already paid
120
Owned, still paying
130
Owned, constructed
140
Owned, inherited
190
Owned, other
191
Owned, house
192
Owned, condominium
193
Apartment proprietor
194
Shared ownership
200
Not owned
210
Renting, not specified
211
Renting, government
212
Renting, local authority
213
Renting, parastatal
214
Renting, private
215
Renting, private company
216
Renting, individual
217
Renting, collective
218
Renting, joint state and individual
219
Renting, public subsidized
220
Renting, private subsidized
221
Renting, co-tenant
222
Renting, relative of tenant
223
Renting, cooperative
224
Renting, with a job or business
225
Renting, loan-backed habitation
226
Renting, mixed contract
227
Furnished dwelling
228
Sharecropping
230
Subletting
231
Rent to own
239
Renting, other
240
Occupied de facto/squatting
250
Free/usufruct (no cash rent)
251
Free, provided by employer
252
Free, without work or services
253
Free, provided by family or friend
254
Free, private
255
Free, public
256
Free, condemned
257
Free, other
290
Not owned, other
999
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Strata identifier
Strata identifier
Strata identifier
Strata identifier
Strata identifier
This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.
STRATA is a 12-digit numeric variable.
Technical Household Variables -- HOUSEHOLD
IPUMS
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
PERNUM is a 3-digit numeric variable.
Technical Person Variables -- PERSON
IPUMS
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships.
MOMLOC is a 3-digit numeric variable.
0 = No mother of this person present in the household.
1 or higher = The person number of this person's mother
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Father's location in household
Father's location in household
Father's location in household
Father's location in household
Father's location in household
POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships.
POPLOC is a 3-digit numeric variable.
0 = No father of this person present in the household.
1 or higher = The person number of this person's father
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly.
SPLOC is a 3-digit numeric variable.
0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouse
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
No parent of person in household
11
Link to head or spouse, unambiguous
12
Link to head or spouse, ambiguous
21
Child-Grandchild, within empirical child cap
22
Child-Grandchild, within constructed child cap
23
Child-Grandchild, exceeds child cap
31
Specified Other Relatives, within empirical child cap
32
Specified Other Relatives, within constructed child cap
33
Specified Other Relatives, exceeds child cap
41
Other Relatives, within empirical child cap
42
Other Relatives, within constructed child cap
51
Non-Relatives, within empirical child cap
52
Non-Relatives, within constructed child cap
PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father.
IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
No spouse present
1
Rule 1: strong relationship pairing, couple adjacent
2
Rule 2: strong relationship pairing, couple not adjacent
3
Rule 3: weak relationship pairing, couple adjacent
4
Rule 4: weak relationship pairing, couple not adjacent
5
Rule 5: weak consensual union pairings
6
Rule 6: sample-specific rules (usually child-to-child)
SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse.
IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Biological mother or no mother present
1
Mother has no children borne or surviving
2
Child reports mother is deceased
3
Explicitly identified step relationship
4
Mother reports no children in the home
5
Age difference implausible
6
Child exceeds known fertility of mother
STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
The codes for STEPMOM are as follows:
0 = Biological mother or no mother of this person present in household.
1 = Mother has no children borne or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
See PARRULE for a description of the linking process.
Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Biological father or no father present
1
Child reports father is deceased
2
Explicitly identified step relationship
3
Age difference implausible
STEPPOP indicates whether a person's father, as identified by POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household.
The codes for STEPPOP are as follows:
0 = Biological father or no father of this person present in household.
1 = Child reports father is deceased.
2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law).
3 = Age difference between father and child was less than 12 or greater than 54 years.
See PARRULE for a description of the linking process.
Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
No more than one wife linked via SPLOC
1
More than one wife linked via SPLOC
POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.
The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Person is not the 2nd or higher order wife linked via SPLOC
1
Person is the 2nd or higher order wife linked via SPLOC
POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.
The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Family unit membership
Family unit membership
Family unit membership
Family unit membership
Family unit membership
FAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
FAMUNIT is a 2-digit numeric variable.
If there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
1
1 family member present
2
2 family members present
3
3 family members present
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99 or more persons
FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.
FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more children in household
NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more own children under age 5 in household
NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
ELDCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
YNGCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
1
Head
2
Spouse/partner
3
Child
4
Other relative
5
Non-relative
6
Other relative or non-relative
9
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
1000
Head
2000
Spouse/partner
2100
Spouse
2200
Unmarried partner
2300
Same-sex spouse/partner
3000
Child
3100
Biological child
3200
Adopted child
3300
Stepchild
3400
Child/child-in-law
3500
Child/child-in-law/grandchild
3600
Child of unmarried partner
4000
Other relative
4100
Grandchild
4110
Grandchild or great grandchild
4120
Great grandchild
4130
Great-great grandchild
4200
Parent/parent-in-law
4210
Parent
4211
Stepparent
4220
Parent-in-law
4300
Child-in-law
4301
Daughter-in-law
4302
Spouse/partner of child
4310
Unmarried partner of child
4400
Sibling/sibling-in-law
4410
Sibling
4420
Stepsibling
4430
Sibling-in-law
4431
Sibling of spouse/partner
4432
Spouse/partner of sibling
4500
Grandparent
4510
Great grandparent
4600
Parent/grandparent/ascendant
4700
Aunt/uncle
4800
Other specified relative
4810
Nephew/niece
4820
Cousin
4830
Sibling of sibling-in-law
4900
Other relative, not elsewhere classified
4910
Other relative with same family name
4920
Other relative with different family name
4930
Other relative, not specified (secondary family)
5000
Non-relative
5100
Friend/guest/visitor/partner
5110
Partner/friend
5111
Friend
5112
Partner/roommate
5113
Housemate/roommate
5120
Visitor
5130
Ex-spouse
5140
Godparent
5150
Godchild
5200
Employee
5210
Domestic employee
5220
Relative of employee, n.s.
5221
Spouse of servant
5222
Child of servant
5223
Other relative of servant
5300
Roomer/boarder/lodger/foster child
5310
Boarder
5311
Boarder or guest
5320
Lodger
5330
Foster child
5340
Tutored/foster child
5350
Tutored child
5400
Employee, boarder or guest
5500
Other specified non-relative
5510
Agregado
5520
Temporary resident, guest
5600
Group quarters
5610
Group quarters, non-inmates
5620
Institutional inmates
5900
Non-relative, n.e.c.
6000
Other relative or non-relative
9999
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
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
School attendance
School attendance
School attendance
School attendance
School attendance
NIU (not in universe)
1
Yes
2
No, not specified
3
No, attended in the past
4
No, never attended
9
Unknown/missing
SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
Education Variables -- PERSON
IPUMS
Literacy
Literacy
Literacy
Literacy
Literacy
NIU (not in universe)
1
No, illiterate
2
Yes, literate
9
Unknown/missing
LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.
Education Variables -- PERSON
IPUMS
Educational attainment, India
Educational attainment, India
Educational attainment, India
Educational attainment, India
Educational attainment, India
1
Illiterate, less than primary
2
Literate, less than primary
3
Primary
4
Middle
5
Secondary
6
Higher secondary (1993-2004)
7
Undergraduate or graduate
9
Unknown
EDUCIN indicates the person's educational attainment in terms of the level of schooling completed.
Education Variables -- PERSON
IPUMS
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
NIU (not in universe)
1
Employed
2
Unemployed
3
Inactive
9
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
NIU (not in universe)
100
Employed, not specified
110
At work
111
At work, and 'student'
112
At work, and 'housework'
113
At work, and 'seeking work'
114
At work, and 'retired'
115
At work, and 'no work'
116
At work, and other situation
117
At work, family holding, not specified
118
At work, family holding, not agricultural
119
At work, family holding, agricultural
120
Have job, not at work in reference period
130
Armed forces
131
Armed forces, at work
132
Armed forces, not at work in reference period
133
Military trainee
140
Marginally employed
200
Unemployed, not specified
201
Unemployed 6 or more months
202
Worked fewer than 6 months, permanent job
203
Worked fewer than 6 months, temporary job
210
Unemployed, experienced worker
220
Unemployed, new worker
230
No work available
240
Inactive unemployed
300
Inactive (not in labor force)
310
Housework
320
Unable to work/disabled
321
Permanent disability
322
Temporary illness
323
Disabled or imprisoned
330
In school
340
Retirees and living on rent
341
Living on rents
342
Living on rents or pension
343
Retirees/pensioners
344
Retired
345
Pensioner
346
Non-retirement pension
347
Disability pension
348
Retired without benefits
350
Elderly
351
Elderly or disabled
360
Institutionalized
361
Prisoner
370
Intermittent worker
371
Not working, seasonal worker
372
Not working, occasional worker
380
Other income recipient
390
Inactive, other reasons
391
Too young to work
392
Dependent
999
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
1
Legislators, senior officials and managers
2
Professionals
3
Technicians and associate professionals
4
Clerks
5
Service workers and shop and market sales
6
Skilled agricultural and fishery workers
7
Crafts and related trades workers
8
Plant and machine operators and assemblers
9
Elementary occupations
10
Armed forces
11
Other occupations, unspecified or n.e.c.
97
Response suppressed
98
Unknown
99
NIU (not in universe)
OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.
Work Variables -- PERSON
IPUMS
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.
OCC is a 4-digit numeric variable.
Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Please see the codes for: IN1983A_0415
Work Variables -- PERSON
IPUMS
Industry, general recode
Industry, general recode
Industry, general recode
Industry, general recode
Industry, general recode
NIU (not in universe)
10
Agriculture, fishing, and forestry
20
Mining
30
Manufacturing
40
Electricity, gas and water
50
Construction
60
Wholesale and retail trade
70
Hotels and restaurants
80
Transportation and communications
90
Financial services and insurance
100
Public administration and defense
110
Services, not specified
111
Real estate and business services
112
Education
113
Health and social work
114
Other services
120
Private household services
130
Other industry, n.e.c.
998
Response suppressed
999
Unknown
INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.
"Industry" refers to the activity or product of the establishment or sector in which a person worked.
Work Variables -- PERSON
IPUMS
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.
IND is a 5-digit numeric variable.
Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Please see the codes for: IN1983A_0414
Work Variables -- PERSON
IPUMS
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
NIU (not in universe)
1
Self-employed
2
Wage/salary worker
3
Unpaid worker
4
Other
9
Unknown/missing
CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
NIU (not in universe)
100
Self-employed
101
Self-employed, unincorporated
102
Self-employed, incorporated
110
Employer
111
Sharecropper, employer
120
Working on own account
121
Own account, agriculture
122
Domestic worker, self-employed
123
Subsistence worker, own consumption
124
Own account, other
125
Own account, without temporary/unpaid help
126
Own account, with temporary/unpaid help
130
Member of cooperative
140
Sharecropper
141
Sharecropper, self-employed
142
Sharecropper, employee
150
Kibbutz member
200
Wage/salary worker
201
Management
202
Non-management
203
White collar (non-manual)
204
Blue collar (manual)
205
White and blue collar
206
Day laborer
207
Employee, with a permanent job
208
Employee, occasional, temporary, contract
209
Employee without legal contract
210
Wage/salary worker, private employer
211
Apprentice
212
Religious worker
213
Wage/salary worker, non-profit, NGO
214
White collar, private
215
Blue collar, private
216
Paid family worker
217
Cooperative employee
220
Wage/salary worker, government
221
Federal, government employee
222
State government employee
223
Local government employee
224
White collar, public
225
Blue collar, public
226
Public companies
227
Civil servants, local collectives
230
Domestic worker (work for private household)
240
Seasonal migrant
241
Seasonal migrant, no broker
242
Seasonal migrant, uses broker
250
Other wage and salary
251
Canal zone/commission employee
252
Government employment/training program
253
Mixed state/private enterprise/parastatal
254
Government public work program
300
Unpaid worker
310
Unpaid family worker
320
Apprentice, unpaid or unspecified
330
Trainee
340
Apprentice or trainee
350
Works for others without wage
400
Other
999
Unknown/missing
CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
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.
INCWAGE is a 7-digit numeric variable.
9999998 = Unknown/missing.
9999999 = NIU (not in universe).
Israel 1983: 74,716+
Israel 1995: 20,000+
Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others
Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions
Canada 1991-2001: 200,000+
Dominican Republic 1981: 2000+
Germany 1970: 2,500+
Indonesia 1995: 9,999,997+
Jamaica 1982: 100,000+
Jamaica 1991: 100,000+
Jamaica 2001: 3,000,000+
Panama 1970: 800+
Panama 2000: 9,997+
Panama 2010: 10,000+
Puerto Rico 1970-1980: 50,000+
Puerto Rico 1990: 140,000+
Puerto Rico 2000: 175,000+
Puerto Rico 2005: 999,999+
Puerto Rico 2010: 173,000+
U.S.A. 1960: 25,000+
U.S.A. 1970: 50,000+
U.S.A. 1980: 75,000+
U.S.A. 1990: State median of values over 140,000
U.S.A. 2000: State median of values over 175,000
U.S.A. 2005: 99.5th percentile within each state (Higher values are the state means of all cases above these cutoffs.)
U.S.A. 2010: 99.5th percentile within each state (Higher values are the state means of all cases above these cutoffs.)
Income Variables -- PERSON
IPUMS
State of previous residence, India
State of previous residence, India
State of previous residence, India
State of previous residence, India
State of previous residence, India
2
Andhra Pradesh
3
Arunachal Pradesh
4
Assam
5
Bihar
6
Goa
7
Gujarat
8
Haryana
9
Himachal Pradesh
10
Jammu and Kashmir
11
Karnataka
12
Kerala
13
Madhya Pradesh
14
Maharashtra
15
Manipur
16
Meghalaya
17
Mizoram
18
Nagaland
19
Orissa
20
Punjab
21
Rajasthan
22
Sikkim
23
Tamil Nadu
24
Tripura
25
Uttar Pradesh
26
West Bengal
27
Andaman and Nicobar Islands
28
Chandigarh
29
Dadra and Nagar Haveli
30
Daman and Diu
31
Delhi
32
Lakshadweep
33
Pondicherry
34
Goa, Daman and Diu
90
Abroad
98
Unknown
99
NIU (not in universe)
MIGIN indicates the person's state of previous residence in India.
Migration Variables -- PERSON
IPUMS
Person number (within household)
Person number (within household)
Person number (within household)
Person number (within household)
Person number (within household)
Person number (within household)
All persons
Household record
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
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
This variable indicates the person number within the household.
Technical Person Variables -- PERSON
IPUMS
Serial number of person
Serial number of person
Serial number of person
Serial number of person
Serial number of person
1. _____ Serial number
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
44
44
45
45
51
51
52
52
61
61
62
62
64
64
65
65
67
67
80
80
81
81
85
85
86
86
88
88
92
92
This variable indicates the serial number of a person.
Technical Person Variables -- PERSON
IPUMS
Relationship to head
Relationship to head
Relationship to head
Relationship to head
Relationship to head
3. Relation to head (actual description): ____
4. Relation to head code:
[] 1 Head
[] 2 Spouse of head
[] 3 Married child
[] 4 Spouse of married child
[] 5 Unmarried child
[] 6 Grandchild
[] 7 Father/mother/father-in-law/mother-in-law
[] 8 Brother/sister/brother-in-law/sister-in-law/other relatives
[] 9 Servant/employee/other non-relatives
All persons
1
Head
2
Spouse of head
3
Married child
4
Spouse of married child
5
Unmarried child
6
Grandchild
7
Father/mother/father-in-law/mother-in-law
8
Brother/sister/brother-in-law/sister-in-law/other relatives
9
Servant/employee/other non-relatives
99
Unknown
This variable indicates the person's relationship to the head of the household.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
5. Sex:
[] 1 Male
[] 2 Female
All persons
1
Male
2
Female
9
Unknown
This variable indicates the person's sex.
Demographic Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
7. Marital status:
[] 1 Never married
[] 2 Currently married
[] 3 Widower/divorced/separated
All persons
1
Never married
2
Currently married
3
Widowed/divorced/separated
9
Unknown
This variable indicates the person's marital status.
Demographic Variables -- PERSON
IPUMS
General education
General education
General education
General education
General education
8. Educational standard: general
[] 0 Not literate
[] 1 Literate without formal schooling
[] 2 Literate but below primary
[] 3 Primary
[] 4 Middle
[] 5 Secondary
Graduate and above in:
[] 6 Agriculture
[] 7 Engineering technology
[] 8 Medicine
[] 9 Other subjects
All persons
Not literate
1
Literate without formal schooling
2
Literate but below primary
3
Primary
4
Middle
5
Secondary
6
Graduate and above in agriculture
7
Graduate and above in engineering technology
8
Graduate and above in medicine
9
Graduate and above in other subjects
99
Unknown
This variable indicates the level of the person's general education.
Education Variables -- PERSON
IPUMS
Technical education
Technical education
Technical education
Technical education
Technical education
9. Educational standard: technical
Additional diploma or certificate in:
[] 10 Agriculture
[] 11 Engineering/technology
[] 12 Medicine
[] 13 Crafts
[] 14 Other subjects
[] 15 No technical education
All persons
1
Agriculture
2
Engineering technology
3
Medicine
4
Crafts
5
Other subjects
6
No technical education
This variable indicates the type of technical education that the person had received.
Education Variables -- PERSON
IPUMS
Number of years of formal education
Number of years of formal education
Number of years of formal education
Number of years of formal education
Number of years of formal education
11. Number of years of formal education (in years): _____
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
28
28
29
29
30
30+
99
Unknown
This variable indicates the number of years of formal education that the person had received.
Education Variables -- PERSON
IPUMS
Education institution enrollment code
Education institution enrollment code
Education institution enrollment code
Education institution enrollment code
Education institution enrollment code
12. Current enrollment in educational institution and course of study:
[] 1 Currently not enrolled in any educational institution
a. Currently enrolled in an educational institution of:
[] 2 Pre-primary
[] 3 Primary
[] 4 Middle
[] 5 Secondary
b. Undergraduate/Post-graduate courses in:
[] 6 Agriculture
[] 7 Engineering/technology
[] 8 Medicine
[] 9 Other subjects
c. Diploma or certificate course in:
[] 10 Agriculture
[] 11 Engineering/technology
[] 12 Medicine
[] 13 Crafts
[] 14 Other subjects
All persons
1
Currently not enrolled in any educational institution
2
Pre-primary
3
Primary
4
Middle
5
Secondary
6
Undergraduate/post graduate courses in agriculture
7
Undergraduate/post graduate courses in engineering/technology
8
Undergraduate/post graduate courses in medicine
9
Undergraduate/post graduate courses in other subjects
10
Diploma or certificate course in agriculture
11
Diploma or certificate course in engineering/technology
12
Diploma or certificate course in medicine
13
Diploma or certificate course in crafts
14
Diploma or certificate course in other subjects
99
Unknown
This variable indicates whether the person was enrolled in any education institution and at what level.
Education Variables -- PERSON
IPUMS
Whether registered with employment exchange
Whether registered with employment exchange
Whether registered with employment exchange
Whether registered with employment exchange
Whether registered with employment exchange
13. Whether currently on the live register of the employment exchange:
[] 1 Yes
[] 2 No
All persons
1
Yes
2
No
This variable indicates whether the person was registered with the employment exchange.
Work Variables -- PERSON
IPUMS
Current weekly activity status code
Current weekly activity status code
Current weekly activity status code
Current weekly activity status code
Current weekly activity status code
Current weekly activity [Questions 14 to 15]
14. Status:
Working with an employer under obligation/ work not specifically compensated by prevalent wage or salary:
[] 1 Attached to landlord
[] 2 Attached to money-lender
[] 3 Attached to landlord-cum-money lender
[] 4 Attached to others
[] 11 Worked (self-employed) in household enterprise
[] 21 Worked as a helper in household enterprise
[] 31 Worked as regular salaried/wage employee
[] 41 Worked as casual wage labour in public works
[] 51 Worked as casual wage labour in other types of work
[] 61 Did not work though there was work in household enterprise
[] 71 Did not work but had regular salaried/wage employment
[] 81 Sought work
[] 82 Did not seek but was available for work
[] 91 Attended educational institutions
[] 92 Attended domestic duties only
[] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.), sewing, tailoring, weaving etc., for household use
[] 94 Too young to work/ to attend school/ to seek employment
[] 95 Old and disabled
[] 96 Rentiers, pensioners, remittance recipients etc.
[] 97 Beggars, prostitutes, etc.
[] 98 Others
[] 99 Did not work due to temporary sickness (for casual workers only)
All persons
1
Attached to landlord
2
Attached to money lender
3
Attached to landlord-cum-money lender
4
Attached to others
11
Worked (self-employed) in household enterprise
21
Worked as helper in household enterprise
31
Worked as regular salaried/wage employee
41
Worked as casual wage labor in public works
51
Worked as casual wage labor in other types of work
61
Did not work though there was work in household enterprise
71
Did not work but had regular salaried/wage employment
81
Sought work
82
Did not seek but was available for work
91
Attended educational institutions
92
Attended domestic duties only
93
Attended domestic duties and was also engaged in free collection of goods, sewing, tailoring, weaving etc., for household use
94
Too young to work/to attend school/to seek employment
95
Old or disabled
96
Rentiers, pensioners, remittance recipients, etc.
97
Beggars, prostitutes, etc.
98
Others
99
Did not work due to temporary sickness (for casual workers only)
This variable indicates the person's economic activity during the week prior to the survey.
Work Variables -- PERSON
IPUMS
Current industry division
Current industry division
Current industry division
Current industry division
Current industry division
Current weekly activity [Questions 14 to 15]
15. Industry (division code) for codes 01-71 in column 14*:
[Question 15 was asked of persons who were worked under obligation/attached, worked, or did not work though there was a household enterprise or did not work but had salaried/wage employment per question 14.]
[] 0 Agriculture, hunting, forestry and fishing
[] 1 Mining and quarrying
[] 2 Manufacturing
[] 3 Manufacturing
[] 4 Electricity, gas and water
[] 5 Construction
[] 6 Wholesale and retail trade and restaurants and hotels
[] 7 Transport, storage, and communication
[] 8 Financing, insurance, real estate and business service
[] 9 Community, social and personal services
Persons who worked or did not work but had regular employment or work in a household enterprise during the week preceding the date of survey
Agriculture, hunting, forestry and fishing
1
Mining and quarrying
2
Manufacturing
3
Manufacturing
4
Electricity, gas and water
5
Construction
6
Wholesale and retail trade and restaurants and hotels
7
Transport, storage, and communication
8
Financing, insurance, real estate and business service
9
Community, social and personal services
99
NIU (not in universe)
This variable indicates the industry division of the person during the week prior to the survey.
Work Variables -- PERSON
IPUMS
Current industry
Current industry
Current industry
Current industry
Current industry
For persons having current weekly activity status codes 01-71 in column 14
[Question 16-18 was asked of persons who worked under obligation/attached, worked, or did not work though there was a household enterprise or did not work but had salaried/wage employment per question 14.]
Principal industry occupation: [Questions 16 to 18]
16. Description _____
17. Industry code (NIC 1970) _ _ _
18. Occupation code (NCO 1968) _ _ _
Persons who worked or did not work but had regular employment or work in a household enterprise during the week preceding the date of survey
Cereal crops (paddy, whelt, Jowar, bajra, maize, ragi, barley, gram, etc.)
1
Pulses (arhar, moong, masur, urd, etc.)
2
Raw cotton
3
Raw jute, mesta
4
Hemp and other kindred fibres
5
Production of oilseeds such as sesamum, groundnuts, rape, mustard, linseed, castor seeds, etc.
6
Sugar cane
7
Roots and tubers, vegetables, pan, singhara chilies and spices (other than pepper and cardamom) and Bowers and parts of plants
9
Agricultural production not elsewhere classified
10
Tea
11
Coffee
12
Rubber
13
Tobacco
14
Pepper
15
Cardamom
16
Edible nuts (excluding coconut and ground nut) walnut, almond, cashew nut, etc.
17
Production of fruits, coconuts e.g. bananas, apples, grapes, mangoes, oranges, etc.
18
Production of ganja, cinchona, opium, etc.
19
Crops of plantations, not elsewhere classified (e.g. betel nuts etc.)
20
Cattle and goat-breeding, rearing, ranching, etc. and production of milk
21
Rearing of sheep and production of wool
22
Rearing of horses, mules, camels and other pack animals
23
Rearing of pigs and other animals
24
Rearing of ducks, hens and other birds and production of eggs
25
Rearing of bees and production of honey and wax
26
Rearing of silk-worms and production of cocoons and raw milk
29
Rearing of livestock and production of livestock product not elsewhere classified
30
Pest destroying, spraying, pruning of infected stems
31
Operation of irrigation systems
32
Animal sheering and livestock services (other than veterinary services)
33
Grading agricultural and livestock products
34
Horticultural and nursery services
35
Soil conservation
39
Agricultural services not elsewhere classified (like land clearing, land draining, etc.)
40
Hunting, trapping and game propagation for commercial purposes (other than for sport)
49
Hunting, trapping and game propagation, not elsewhere classified
50
Planting, replanting and conservation of forests
51
Logging-felling and cutting of trees and preparation of rough, round hewn or riven logs (including incidental hauling)
52
Production of fuel (including charcoal by burning) by exploitation of forests
53
Gathering of fodder by exploitation of forests
54
Gathering of uncultivated materials such as gums, resins, lac, barks, herbs, wild fruits and leaves by exploitation of forests
59
Other forest products not elsewhere classified such as munjh
60
Ocean, sea and coastal fishing
61
Inland water fishing
62
Pisciculture-rearing of fish
63
Collection of pearls, conches, shells, sponge and other sea products
69
Fishing and allied activities not elsewhere classified
99
Agriculture, hunting, forestry, and fishing not elsewhere classified
100
Coal
101
Lignite
109
Coal mining not elsewhere classified
110
Crude petroleum
111
Natural gas
119
Crude petroleum and natural gas not elsewhere classified
120
Iron ore
121
Manganese
122
Chromite
123
Bauxite
124
Gold and silver ores
125
Copper ore
129
Metal ores, not elsewhere classified
190
Stone quarrying clay and sand pits
191
Chemicals, and fertilizer mineral mining (such as soda ash, sulphur, phosphates, nitrates, etc.)
192
Salt mining and quarrying including crushing, screening and evaporating in pans
193
Precious and semi-precious stones
194
Mica
195
Gypsum
199
Other mining not elsewhere classified (asbestos, quartz, talc and soap stone, natural abrasives other than sand, graphite etc.)
200
Slaughtering, preparation and preservation of meat
201
Manufacture of dairy products
202
Canning and preservation of fruits and vegetables
203
Canning, preserving and processing of fish, crustacean and similar foods
204
Grain mill products
205
Manufacture of bakery products
206
Manufacture and refining of sugar (vacuum pan sugar factories)
207
Production of indigenous sugar, boora, khandsari, gur, etc. from sugar-cane, and palm juice
208
Production of common salt
209
Manufacture of cocoa, chocolate and sugar confectionery (including sweetmeats)
210
Manufacture of hydrogenated oils, vanasspati ghee, etc,
211
Manufacture of other edible oils and fats e.g., mustard oil, ground nut oil, etc. (Inedible oils shown under 315)
212
Tea processing
213
Coffee curing, roasting and grinding
214
Cihwrit processing like drying, shelling, roasting, salting, etc.
215
Manufacture of ice
216
Manufacture of prepared animal feeds
217
Manufacture of starch
219
Manufacture of fool products not elsewhere classified
220
Distilling, rectifying and blending of spirits
221
Wine industries
222
Malt liquors and malt
223
Production of country liquor and toddy
224
Soft drinks and carbonated water industries
225
Tobacco stemming, redrying and all other operations which are connected with preparing raw leaf tobacco for manufacture
226
Manufacture of bidi
227
Manufacture of cigars, cigarettes, cheroot and cigarette tobacco
228
Manufacture of chewing tobacco, zarda and snuff
229
Manufacture of tobacco and tobacco products, not elsewhere classified
230
Cotton ginning, cleaning and baling
231
Cotton spinning, weaving, shrinking, shrinking, mercerising and finishing of cotton textiles in mills
232
Printing, dyeing and bleaching of cotton textiles
233
Cotton spinning other than in mills (charkha)
234
Production of khadi
235
Weaving and finishing of cotton textiles in handlooms, other than khadi
236
Weaving and finishing of cotton textiles in power-looms
239
Cotton textiles not elsewhere classified
240
Wool cleaning, baling and pressing
241
Wool spinning, weaving and finishing in mills
242
Wool spinning and weaving (other than in mills)
243
Dyeing and bleaching of woolen textiles
244
Manufacture of wool not elsewhere classified
245
Spinning, weaving and finishing of silk textiles
246
Printing, dyeing and bleaching of silk textiles
247
Spinning, weaving and finishing of other textiles-synthetic fibres, rayons, nylons, etc.
248
Printing, dyeing and bleaching of synthetic textiles
249
Silk and synthetic fibre textiles not elsewhere classified
250
Jute and mesta pressing and bailing
251
Jute and mesta spinning and weaving
252
Dyeing, printing and bleaching of jute textiles
253
Preparing, spinning, weaving and finishing of hemp and other coarse fibres
259
Manufacture of jute bags and other jute textiles not elsewhere classified
260
Knitting mills
261
Manufacture of all types of threads, cordage, ropes, twines, nets, etc.
262
Embroidery and making of crepes, laces and fringes
263
Weaving carpets, rugs and other similar textile products
264
Manufacture of all types of textiles, garments including wearing apparel
265
Manufacture of raincoats, hats, etc.
266
Manufacture of made up textile goods (except garments) such as curtains, mosquito nets, etc.
267
Manufacture of water proof textiles such as oil cloth, tarpaulin, etc.
268
Manufacture of coir and coir products
269
Manufacture of textiles not elsewhere classified like linoleum, padding, wadding, upholstering, filling, etc.
270
Manufacture of veneer, plywood and their products
271
Sawing and planing of wood (other than plywood)
272
Manufacture of wooden and cane boxes, crates, drums, barrels and other wooden containers, baskets and other rattan, bamboo, reed and willow wares made entirely or mainly of cane, rattan, reed, bamboo and willow
273
Manufacture of structural wooden goods (including treated timber) such as beams, posts, doors and windows (excluding hewing and rough shaping of poles, bolts and other wood material which is classified under logging)
274
Manufacture of wooden industrial goods, such as bobbins, blocks, handles, saddling and similar equipment and fixtures
275
Manufacture of cork and cork products
276
Manufacture of wooden furniture and fixtures
277
Manufacture of bamboo and cane furniture and fixtures
279
Manufacture of wood, bamboo and cane products not elsewhere classified
280
Manufacture of pulp, paper and paper board including newsprint
281
Manufacture of container and boxes of paper and paper board
282
Manufacture of pulp products not elsewhere classified like dolls
283
Manufacture of paper and paper board articles not elsewhere classified
284
Printing and publishing of newspapers
285
Printing and publishing of periodicals, books, journals, atlases, maps and sheet music, directories etc.
286
Printing of bank notes, currency notes, postage stamps; security presses, etc.
287
Engraving, etching, block making, etc.
288
Bookbinding
289
Printing, publishing and allied activities not elsewhere classified like envelope printing, picture post card printing, embossing, etc.
290
Tanning, curing, finishing, embossing and japanning of leather
291
Manufacture of footwear (excluding repair) except vulcanized or moulded rubber or plastic footwear
292
Manufacture of wearing apparel like coats, gloves, etc. of leather and substitutes of leather
293
Manufacture of leather consumer goods (other than apparel and footwear)
294
Scraping, currying, tanning, bleaching and dyeing of fur and other pelts for the trade
295
Manufacture of wearing apparel of fur and pelts
296
Manufacture of fur and skin rugs and other articles
299
Manufacture of leather and fur products not elsewhere classified
300
Tyre and tube industries
301
Manufacture of footwear made primarily of vulcanized or moulded rubber
302
Manufacture of rubber products not elsewhere classified
303
Manufacture of plastic products not elsewhere classified (except house furnishing)
304
Petroleum refineries
305
Manufacture of products of petroleum not elsewhere classified
306
Production of coal tar in coke ovens
307
Manufacture of other coal and coal tar products not elsewhere classified
310
Manufacture of basic industrial organic and inorganic chemicals and gases such as acids, alkalies and their salts, gases like acetylene, oxygen, nitrogen, etc.
311
Manufacture of fertilizers and pesticides
312
Manufacture of paints, varnishes and lacquers
313
Manufacture of drugs and medicines
314
Manufacture of perfumes, cosmetics, lotions, hair dressings, toothpastes, soap in any form, synthetic detergents, shampoos, shaving products, cleansers, washing and scouring products and other toilet preparations
315
Manufacture of inedible oils
316
Manufacture of turpentine, synthetic resins, plastic materials and synthetic fibres like nylon, terylene except glass
317
Manufacture of matches
318
Manufacture of explosives and ammunition and fire works
319
Manufacture of chemical products not elsewhere classified (including photo-chemicals, sensitized films and paper)
320
Manufacture of structural clay products
321
Manufacture of glass and glass products
322
Manufacture of earthen ware and earthen pottery
323
Manufacture of china ware and porcelainware
324
Manufacture of cement, lime and plaster
325
Manufacture of mica products
326
Manufacture of structural stone goods, stone dressing and stone crushing, and stoneware
327
Manufacture of earthen and plaster statues and other products
328
Manufacture of asbestos, cement and other cement products
329
Manufacture of miscellaneous non-metallic mineral products such as slate products, abrasives, graphite products, mineral wool, silica products and other non-metallic mineral products not elsewhere classified
330
Iron and steel industries
331
Foundries for casting and forging iron and steel
332
Manufacture of ferro-alloys
333
Copper manufacturing
334
Brass manufacturing
335
Aluminum manufacturing
336
Zinc manufacturing
339
Other non-ferrous metal industries
340
Manufacture of fabricated metal products such as metal cans from tin-plate, terne plate or enameled sheet metal, metal shipping, containers, barrels, drums, kegs, pails, safes, vaults, enameled sanitary and all other fabricated metal products not els[...]
341
Manufacture of structural metal products
342
Manufacture of furniture and fixtures, primarily of metal
343
Manufacture of hand tools and general hardware
344
Enameling, japanning, lacquering, galvanizing, plating and polishing of metal products
345
Manufacture of metal utensils, cutlery and kitchenware
349
Manufacture of metal products except machinery and transport equipment not elsewhere classified, like type-founding
350
Manufacture of agricultural machinery and equipment and parts
351
Manufacture and repair of drills, coal cutting machines, earth moving, lifting and hoisting machinery, cranes, conveyors and road rollers and other heavy machinery and equipment used by construction and mining industries
352
Manufacture of prime movers, boilers and steam generating plants such as diesel engines, and parts
353
Industrial machinery for food and textile industries
354
Industrial machinery, for other than food and textiles industries
355
Manufacture of refrigerators, air conditioners and fire fighting equipment, and other parts, components and accessories
356
Manufacture alteration and repair of general items of nonelectrical machinery, components, equipment and accessories not elsewhere classified
357
Manufacture of machine tools, their parts and accessories
358
Manufacture of office, computing and accounting machinery and parts
359
Manufacture and repair of non-electrical, machinery, equipment, components and accessories not elsewhere classified (such as sewing machines, automatic merchandising machines, washing, laundry, dry cleaning and pressing machines, cooking ranges and o[...]
360
Manufacture of electrical industrial, machinery and apparatus and parts (such as electrical industry motors, generators, transformers, electromagnetic clutches and brakes etc.)
361
Manufacture of insulated wires and cables
362
Manufacture of dry and wet batteries
363
Manufacture of electrical apparatus, appliances and their such as lamps, bulbs, tubes, sockets, switches, fans, insul (except porcelain), conductors, irons, heaters, shavers, cleaners, etc., excluding repairing
364
Manufacture of radio and television transmitting and receiving sets including transistor radio sets, sound reproducing and recording equipment including tape recorders, public address; systems, gramophone record and pre-recorded magnetic tapes, wire [...]
365
Manufacture and repair of radiographic x-ray apparatus and tubes and parts
366
Manufacture of electronic computers, control instruments and other equipment
367
Manufacture of electronic components, and accessories not elsewhere classified
369
Manufacture of electrical machinery, apparatus, appliances and supplies and parts not elsewhere classified
370
Ship building and repairing
371
Manufacture of locomotives and parts
372
Manufacture of railway wagons and coaches and parts
373
Manufacture of other railroad equipment
374
Manufacture of motor vehicles and parts
375
Manufacture of motorcycles and scooters and parts
376
Manufacture of bicycles and cycle-rickshaws and parts
377
Manufacture of aircraft and its parts
378
Bullock-carts, push-carts, hand carts, etc.
379
Manufacture of transport equipment and parts not elsewhere classified
380
Manufacture of medical, surgical and scientific equipment
381
Manufacture of photographic and optical goods (excluding photo chemicals, sensitized paper and film)
382
Manufacture of watches and clocks
383
Manufacture of jewellery and related articles
384
Minting of coins
385
Manufacture of sports and athletic goods
386
Manufacture of musical instruments
387
Manufacture of stationery articles like fountain pens, pencil, pens, pin cushions, tags, etc., not elsewhere classified
389
Manufacture of miscellaneous products not elsewhere classified such as costume jewellery, costume novelties, feather plumes, artificial flowers; brooms, brushes, lamp shades, tobacco pipes, cigarette holders, ivory goods, badges, wigs and similar articles
399
Other manufacturing industries, not elsewhere classified
400
Generation and transmission of electric energy
401
Distribution of electric energy to household, industrial and commercial and other users
409
Electricity, not elsewhere classified
410
Manufacture of gas in gasworks and distribution through mains to household, industrial and commercial and other users
419
Manufacture of gas and steam, not elsewhere classified
420
Water supply i.e. collection, purification and distribution of water
429
Other water works and supply industries
499
Other electricity, gas, and water industries, not elsewhere classified
500
Construction and maintenance of buildings (including aerodromes)
501
Construction and maintenance of roads, railway, bridges, tunnels pipe lines, ports, harbours, runways, etc.
502
Construction and maintenance of telegraph and telephone lines and other communication systems
503
Construction and maintenance of water-ways and water reservoirs such as bunds, embankments, dams, canals, tanks, wells, tube wells, etc.
504
Construction of hydro-electric projects
505
Construction of industrial plants including thermal plants
509
Construction not elsewhere classified
510
Plumbing
511
Heating and air conditioning installation, lift installation, sound proofing, etc.
512
Setting of tile, marble, brick, glass and stone
513
Plumber works such as fixing of doors, windows, panels, painting and decorating
514
Electrical installation
519
Other activities allied to construction not elsewhere classified, such as fixing of hand pumps
600
Wholesale trade in cereals and pulses
601
Wholesale trade in foodstuff other than cereals and pulses
602
Wholesale trade in textiles and textile products, like all kinds of fabrics, garments, shirtings, suiting, and hosiery goods
603
Wholesale trade in beverages other than intoxicants, e.g. aerated water
604
Wholesale trade in intoxicants like wines and liquors including bottling
605
Wholesale trade in intoxicants like opium, ganja, etc.
606
Wholesale trade in tobacco and tobacco products
607
Wholesale trade in animals
608
Wholesale trade in straw and fodder
609
Other wholesale trade in food, textiles live animals, beverages and intoxincants, not elsewhere classified
610
Wholesale trade in medicines and chemicals
611
Wholesale trade in fuel and lighting products
612
Wholesale trade in toilets, perfumery and cosmetics
613
Wholesale trade in metal, porcelain and glass utensils, crockery, and chinaware
619
Other wholesale trade in fuel, light, chemicals, perfumery, ceramics, and glass, not elsewhere classified
620
Wholesale trade in petrol, mobile oil and allied products
621
Wholesale trade in wood, cane, bamboo, thatches, etc
622
Wholesale trade in paper and other stationery goods
623
Wholesale trade in skin, leather and fur, etc.
629
Other wholesale trade in wood, paper, other fabrics, skins, and inedible oils, not elsewhere classified
630
Wholesale trade in agricultural and industrial machinery harvesters, threshers, sowing machines, etc
631
Wholesale trade in electrical machinery and equipment
632
Wholesale trade in transport and storage equipment
639
Other wholesale trade in all types of machinery, equipment, including transport and electrical equipment, not elsewhere classified
640
Wholesale trade in furniture and fixtures
641
Wholesale trade in rubber and rubber products
642
Wholesale trace in household equipment not elsewhere classified
643
Wholesale trade in building materials
644
Wholesale trade in clock, eye-glasses frames
645
Wholesale trade in hardware and sanitary equipment
646
Wholesale trade in scientific, medical and surgical instruments
647
Wholesale trade in precious metals, stones, and jewelry
649
Wholesale trade in goods not elsewhere classified
650
Grain and grocery store
651
Vegetable and fruit selling
652
Dealers in meat, fish and poultry
653
Dealers in sweetmeat, bakery products, dairy products and eggs
654
Pan, bidi, and cigarette shops
655
Dealers in aerated water, soft drinks and ice cream
656
Wine and liquor shops
659
Retail trade in food and food articles, beverage, tobacco and intoxicants not elsewhere classified
660
Dealers in textiles (non-readymade)
661
Dealers in ready-made garments
669
Other retail trade in textiles, not elsewhere classified
670
Dealers in firewood, coal and kerosene oil
671
Utensil shops
672
Fancy stores (including crockery and glassware dealers)
673
Dealers in electrical and electronic goods
674
Furniture shops
675
Jewellery marts
676
Footwear shops
679
Retail trade in fuel and other household utilities and durables not elsewhere classified
680
Medical shops
681
Booksellers and stationers
682
Dealers in building material
683
Dealers in transport equipment
684
Petrol filling stations
689
Retail trade and others not elsewhere classified
690
Restaurants, cafes and other eating and drinking places
691
Hotels, rooming houses, camps and other lodging places
699
Restaurants and hotels, not elsewhere classified
700
Railway transport
701
Passenger transport by tramway and bus-services
702
Passenger transport by other motor vehicles
703
Freight transport by motor vehicles
704
Hackney carriages, bullock-carts, ekka, tonga, etc.
705
Transport by animals like horses, elephants, mules, camels, etc.
706
Transport by man (including rickshaw pullers, hand cart pullers, porters, coolies, etc.)
707
Pipeline transport
708
Supporting services to land transport, like operation of highway bridges, toll roads, vehicular tunnels, parking lots, etc.
709
Other land transport, not elsewhere classified
710
Ocean and coastal water transport
711
Inland water transport
712
Supporting services to water-transport like operation and maintenance of piers, docks, pilotage, light-houses, loading and discharging of vessels, etc.
719
Other water transport, not elsewhere classified
720
Air transport
729
Other air transport, not elsewhere classified
730
Services incidental to transport, such as packing, crating, travel agency, etc.
739
Other services incidental to transport, not elsewhere classified
740
Warehousing
741
Cold-storage
749
Storage and warehousing not elsewhere classified
750
Postal, telegraphic, wireless and signal communications
751
Telephone communications
759
Communications not elsewhere classified
799
Transport, storage, and communications, not elsewhere classified
800
Banking
801
Credit institutions other than banks, such as saving and loan associations, agricultural credit institutions, industrial development banks, etc.
809
Other financial institutions such as pawn brokers, money lenders, financiers, chit funds, etc.
810
Provident services
811
Insurance carriers, life
812
Insurance carriers other than life, such as fire, marine, accident, health, etc.
819
Other providents and insurance, not elsewhere classified
820
Purchase, sale, letting and operating of real estate such as residential and non-residential buildings, developing and sub-dividing real estate into lots, lessors of real property, real estate agents, brokers and managers engaged in renting, buying a[...]
821
Purchase and sale agents and brokers
822
Auctioneering
823
Accounting, auditing and book-keeping services
824
Data processing and tabulating services
825
Engineering, architectural and technical services
826
Advertising and publicity services
827
Machinery and equipment, rental and leasing
828
News agencies (e.g. P.T.I., V.N.I., Reuter, etc.)
829
Business services, except machinery and equipment rental and leasing not elsewhere classified including wrapping, packaging and filling
830
Legal services, such as those rendered by advocates, barristers, solicitors, pleaders, mukhtiars, etc.
831
Other legal services, not elsewhere classified
899
Other financing, insurance, real estate and business services, not elsewhere classified
900
Public services in the union government including defense services
901
Public services in state governments including police services
902
Public Services in local bodies, departments and offices engaged in administration like local taxation, business regulations, etc
903
Public services in quasi-government bodies
909
Other public administration and defense services, not elsewhere classified
910
Sanitation and similar services such as garbage and sewage disposal, operation of garbage systems and all other type of work connected with public health and sanitation
919
Other sanitation services, not elsewhere classified
920
Educational services rendered by technical or vocational colleges, schools and other institutions
921
Educational services, rendered by non-technical colleges, schools, universities and other institutions
922
Research and scientific services not classified elsewhere such as those rendered by institutions and laboratories engaged in research in the biological, physical and social sciences, meteorological institutes and medical research organizations, etc.
929
Other education, scientific and research services, not elsewhere classified
930
Health and medical services rendered by organizations and individuals such as hospitals, dispensaries, sanatoria, nursing homes, maternal and child welfare clinics by Allopathic, Ayurvedic, Unani, Homeopathic, etc. practitioners
931
Veterinary services
939
Other medical and health services, not elsewhere classified
940
Religious services by organizations or individuals
941
Welfare services rendered by organizations operating on a nonprofit basis for the promotion of welfare of the community, such as relief societies, creches, homes for the aged, blind, fire brigade services, etc.
942
Business, professional and labour organizations
949
Other community services, not elsewhere classified
950
Motion picture production
951
Motion picture distribution and projection
952
Theatrical producers and entertainment services
953
Authors, music composers and other independent artists not elsewhere classified
954
Radio and television broadcasting
955
Operation of circuses and race tracks
956
Libraries, museums, botanical and zoological gardens, zoos, game sanctuaries, etc.
959
Amusement and recreational services not elsewhere classified
960
Domestic services
961
Laundries, laundry services and cleaning and dyeing plants
962
Hair dressing such as those done by barbers, hair dressing saloons and beauty shops
963
Portrait and commercial photographic studios
969
Personal services not elsewhere classified
971
Repair of footwear and other leather goods
972
Electrical repair shops
973
Repair of motor vehicles and motorcycles
974
Repair of watches, clocks and jewellery
975
Repair of bicycles and cycle rickshaws
979
Repair of enterprises not elsewhere classified
980
International and other extra territorial bodies
989
Other international and other extra territorial bodies, not elsewhere classified
990
Services not elsewhere classified
997
Undocumented
998
Unknown
999
NIU (not in universe)
This variable indicates the person's principal industry during the week prior to the survey.
Work: Industry Variables -- PERSON
IPUMS
Current occupation
Current occupation
Current occupation
Current occupation
Current occupation
For persons having current weekly activity status codes 01-71 in column 14
[Question 16-18 was asked of persons who worked under obligation/attached, worked, or did not work though there was a household enterprise or did not work but had salaried/wage employment per question 14.]
Principal industry occupation: [Questions 16 to 18]
16. Description _____
17. Industry code (NIC 1970) _ _ _
18. Occupation code (NCO 1968) _ _ _
Persons who worked or did not work but had regular employment or work in a household enterprise during the week preceding the date of survey
Physicist
1
Chemists (excluding pharmaceutical chemists)
2
Geologists and geophysicists
3
Meteorologist
9
Physical scientists, n.e.c
10
Physical science technicians
20
Architects and town planners
21
Civil engineers
22
Electrical and electronic engineers
23
Mechanical engineers
24
Chemical engineers
25
Metallurgists
26
Mining engineers
27
Industrial engineers
28
Surveyors
29
Architects, engineers, technologists, surveyors, n.e.c.
30
Draughtsmen
31
Civil engineering overseers and technicians
32
Electrical and electronic engineering overseers and technicians
33
Mechanical engineering overseers and technicians
34
Chemical engineering technicians
35
Metallurgical technicians
36
Transport and communication supervisors
37
Survey technicians
39
Engineering technicians, n.e.c
40
Aircraft pilots
41
Flight engineers
42
Flight navigators
43
Ship's deck officers and pilots
44
Ships engineers
49
Aircraft and ship's officers, n.e.c
50
Biologists, zoologists, botanists and related scientists
51
Bacteriologists, pharmacologists and related scientists
52
Silviculturists
53
Agronomists and agricultural scientists
59
Life scientists, n.e.c
60
Life science technicians
70
Physicians and surgeons, allopathic
71
Physicians and surgeons, Ayurvedic
72
Physicians and surgeons, homoeopathic
73
Physician and surgeons, Unani
74
Dental surgeons
75
Veterinarians
76
Pharmacists
77
Dieticians and nutritionists
78
Public health physicians
79
Physicians and surgeons, n.e.c.
80
Vaccinators, inoculators and medical assistants
81
Dental assistants
82
Vete rinary assistants
83
Pharmaceutical assistants
84
Nurses
85
Midwives and health visitors
86
X-ray technicians
87
Optometrists and opticians
88
Physiotherapists and occupational therapists
89
Technicians, n.e.c
90
Scientific medical and technical persons, other
100
Mathematicians
101
Statisticians
102
Actuaries
103
System analysts and programmers
104
Statistical investigators and related workers
109
Mathematicians, statisticians and related workers ,n.e.c
110
Economists
111
Economic investigators and related workers
120
Accountants and auditors
121
Cost and works accountants
129
Accountants, auditors and related workers, n.e.c.
130
Sociologists and anthropologists
131
Historians, archeologists and political scientists and related workers
132
Geographers
134
Librarians, archivists and curators
135
Philologists, translators and interpreters
136
Personnel and occupational specialists
137
Labour, social welfare and political workers
139
Social scientists and related workers, n.e.c.
140
Lawyers
141
Judges and magistrates
142
Legal assistants
149
Jurists, n.e.c.
150
Teachers, university and colleges
151
Teachers, higher secondary and secondary schools
152
Teachers, middle school
153
Teachers, primary
154
Teachers, pre-primary
155
Teachers, special education
156
Teachers, craft
159
Teachers, n.e.c.
160
Poets, authors and critics
161
Editors and journalists
169
Poets, authors, journalists and related workers, n.e.c
170
Sculptors, painters and related artists
171
Commercial artists, interior decoratorsand designers
172
Movie camera operators
173
Photographers, other
179
Sculptors, painters, photographers and related creative artists, n.e.c
180
Composers, musicians and singers
181
Choreographers and dancers
182
Actors
183
Stage and film directors and producers (performing arts)
184
Circus performers
189
Composers and performing artists, n.e.c.
190
Ordained religious workers
191
Non-ordained religious workers
192
Astrologers, palmists and related workers
193
Athletes, sportsmen and related workers
199
Professional workers n.e.c.
200
Elected officials, union government
201
Elected officials, state government
202
Elected officials, local bodies
209
Elected officials, n.e.c.
210
Administrative and executive officials, union government
211
Administrative and executive officials, state government
212
Administrativeand executive officials, quasi government
213
Administrative and executive officials, local bodies
219
Administrative and executive officials, govt and local bodies, n.e.c
220
Working proprietors, directors and managers, wholesale
221
Working proprietors, directors and managers, retail trade
229
Working proprietors, directors and managers wholesale and retail trade, n.e.c
230
Directors and managers, bank
231
Directors and managers, insurance
239
Directors and managers, financial institution n.e.c
240
Working proprietors ,directors and managers, mining, quarrying and well drilling
241
Working proprietors, directors and managers, construction
242
Working proprietors, directors and managers, electricity, gas and water
243
Working proprietors, directors and managers, manufacturing
249
Manufacturing and related concerns, n.e.c
250
Working proprietors, directors ,managers and related executives, transport
251
Directors, managers and related executives, communication
252
Warehouse
259
Strage and communication, n.e.c
260
Working proprietors, directors and managers, lodging and catering services
261
Working props, dirs and managers, recreation and entertain
269
Working proprietors, directors, managers,and related executives, other services
299
Administrative, executive and managerial workers, n.e.c
300
Clerical supervisors,( office. superintendents), head clerks, section heads
301
Other supervisors (inspectors, etc.)
302
Ministerial and office assistants
309
Clerical and other supervisors, other
310
Village officials
320
Stenographers and steno-typists
321
Typists
322
Tele-typists
323
Card and tapepunching machine operators
329
Stenographer, typist and card and tape punching operators, n.e.c
330
Book keepers and accounts clerks
331
Cashiers
339
Bookkeepers, cashiers and related workers, n.e.c.
340
Book-keeping and calculating machine operators
341
Automatic data processing machine operators
349
Computing machine operators, n.e.c
350
Clerks, general
351
Store keeper and related workers
352
Receptionists
353
Library clerks
354
Time keepers
355
Coders
356
Ticket sellers
357
Ticket collectors, checkers and examiners
358
Office attendants (peons, daftries, etc)
359
Clerical and related workers(including proof readers and copy holders), n.e.c
360
Station masters and station superintendents, transport
361
Postmasters, telegraph masters and other supervisors
369
Transport and communication supervisor, n.e.c.
370
Guards and breaks men, railway
371
Conductors, transport
379
Transport conductors and guards, n.e.c
380
Postmen
381
Messengers and dispatch riders
389
Mail distributors and related workers, n.e.c
390
Telephone operators
391
Telegraphists and signallers
392
Radio communication and wireless operators
398
Clerical and related workers, n.e.c.
399
Telephone and telegraph operators, n.e.c.
400
Merchants and shopkeepers, wholesale trade
401
Merchants and shopkeepers, retail trade
409
Merchants and shop keepers and wholesale and retail trade, n.e.c.
410
Sales supervisors
411
Purchasing agents
412
Selling agents
419
Manufacturers agents, n.e.c.
420
Technical salesmen and service advisors
421
Commercial travellers
429
Technical salesmen and commercial travellers, n.e.c
430
Salesmen, shop assistants and demonstrators
431
Street vendors, canvassers and news vendors
439
Salesmen, shop assistants and related workers, n.e.c.
440
Agents and salesmen, insurance
441
Agents, brokers and salesmen, real estate
442
Agents and brokers, securities and shares
443
Agents, brokers and salesmen, advertising and other business services
444
Auctioneers
445
Valuers and appraisers
449
Insurance, real estate, securities and business services, salesmen and auctioneers, n.e.c
450
Money lenders (including indigenous bankers)
451
Pawn brokers
459
Money lenders and pawn brokers, n.e.c.
490
Sales workers, n.e.c
500
Hotel and restaurant keepers
510
House keepers, matrons and stewards
520
Cooks and cook bearers
521
Butlers, bearers and waiters
522
Bartenders and related workers
529
Cooks, waiters and related workers, n.e.c.
530
Ayahs, nurse, maids
531
Domestic servants
539
Maids and related housekeeping service workers, n.e.c
540
Building caretakers
541
Sweepers, cleaners and related workers
542
Watermen
549
Building caretakers, sweepers, cleaners and related workers, n.e.c
550
Laundrymen, washermen and dhobis
551
Dry cleaners and pressers
559
Launderers, dry cleaners and pressers, n.e.c
560
Hair d ressers, barbers, beauticians and related workers
570
Fire fighters
571
Policemen and detectives
572
Customs examiners, patrollers and related workers
573
Protection force, home guard and security workers
574
Watchmen, chowkidars and gate keepers
579
Protective service workers, n.e.c.
590
Guides
591
Undertakers and embalmers
599
Service workers, n.e.c.
600
Farm managers and supervisors, crop production
601
Manager, plantation
602
Farm managers, horticulture
603
Farm manager, livestock farm
604
Farm manager, dairy farm
605
Farm manager, poultry farm
609
Farm managers and supervisors, n.e.c.
610
Cultivators (owners)
611
Cultivators (tenants)
619
Cultivators, n.e.c
620
Planters
621
Livestock farmers
622
Dairy farmers
623
Poultry farmers
624
Insect rearers
625
Orchard, vineyard and related workers
629
Farmers, other than cultivators, n.e.c.
630
Agricultural labourers
640
Plantation labourers
641
Tappers, (palm, rubber trees, etc.)
649
Plantation labourers and related workers, n.e.c.
650
Farm machinery operators
651
Farm workers, animal, birds and insect rearing
652
Gardeners and nursery workers
659
Other farm workers, n.e.c.
660
Foresters and related workers
661
Harvesters and gatherers of forest products including lac(except logs)
662
Log fellers and wood cutters
663
Charcoal burners and forest product processors
669
Loggers and other forestry workers, n.e.c.
670
Hunters
671
Trappers
679
Hunters and related workers, n.e.c.
680
Fishermen, deep sea
681
Fishermen, inland and coastal waters
682
Conch and shell gatherers, sponge and pearl divers
689
Fishermen and related workers, n.e.c
699
Agricultural laborers, fishermen, hunters, and related workers, n.e.c.
710
Supervisor and foreman, mining, quarrying, well drilling and related activities
711
Miners
712
Quarrymen
713
Drillers, mines and quarries
714
Shot firers
715
Miners and quarrymen, other
716
Well drillers, petroleum and gas
717
Well drillers, other than petroleum and gas
718
Mineral treaters
719
Miners, quarrymen and related workers, n.e.c.
720
Supervisors and foremen, metal smelting converting refining
721
Metal smelting, converting and refining furnace men
722
Metal rolling mill workers
723
Metal melters and reheaters
724
Metal casters
725
Metal moulder and core makers
726
Metal annealers, temperers and case hardeners
727
Metal drawers and extruders
728
Metal platters and coaters
729
Metal processors, n.e.c.
730
Supervisor and foreman, wood preparation and paper making
731
Wood treaters
732
Sawyers, plywood makers and related wood processing workers
733
Paper pulp preparers
734
Paper makers
739
Wood preparation and paper making workers n.e.c
740
Supervisor and foreman, chemical processing and related activities
741
Crushers, grinders and mixers
742
Cookers, roasters and related heat treaters
743
Filter and separator operators
744
Still and reactor operators
745
Petroleum refining workers,
749
Chemical processors and related workers, n.e.c.
750
Supervisors and foremen, spinning, weaving, knitting, dyeing and related processes
751
Fibre preparers
752
Spinners and winders
753
Warpers and sizers
754
Weaving and knitting machine setters and pattern card preparers
755
Weavers and related workers
756
Carpet makers and finishers
757
Knitters
758
Bleachers, dyers and textile product finishers
759
Spinners, weavers,knitters,dyers and related workers, n.e.c
760
Supervisors and foremen, tanning and pelt dressing
761
Tanners and fell mongers
762
Pelt dressers
769
Fellmongers and pelt dressers, n.e.c.
770
Supervisors and foremen, food and beverage processing
771
Grain millers, parchers and related workers
772
Crushers and pressers, oil seeds
773
Khandsari, sugar and gur makers
774
Butchers and meat preparers
775
Food preservers and canners
776
Dairy product processors
777
Bakers, confectioners, candy and sweet meat makers, other food processors
778
Tea, coffee and cocoa prepares
779
Brewers and aerated water and beverage makers
780
Supervisors and foremen tobacco and tobacco product makers
781
Tobacco prepares
782
Cigar makers
783
Cigarette makers
784
Bidi makers
789
Tobacco prepares and tobacco product makers, n.e.c.
790
Supervisors and foremen, tailoring, dress making, sewing, upholsterywork
791
Tailors and dress makers
792
Fur tailors and related workers
793
Milliners, hat and cap makers
794
Pattern makers and cutters
795
Sewers and embroiders
796
Upholsterers and related workers
798
Tailors, dressmakers, sewers, upholsterers and related workers, n.e.c
800
Supervisor and foremen, shoe and leather goods making
801
Shoe makers and shoe repairers
802
Shoe cutters, lasters, sewers and related workers
809
Leather, cutters, lasters and sewers and related workers, n.e.c
810
Supervisors, foremen, carpentery, cabinet making related wood working processes
811
Carpenter
812
Cabinet makers
813
Wood working machine operators
814
Cart builders and wheel wrights
815
Coach and body builders
816
Shipwrights and boat builders
819
Carpenters, cabinet makers and related workers,n.e.c.
820
Supervisors and foremen, stone cutting and carving
821
Stone cutter and carvers
829
Stone cutters and carvers, n.e.c.
830
Supervisors and foremen, blacksmithy, tool making and machine tool operations
831
Blacksmiths, hammersmiths and forgin g press operators
832
Metal markers
833
Tool makers and metal pattern makers
834
Machine tool setters
835
Machine tool operators
836
Metal grinders, polishers and tool sharpeners
839
Blacksmiths, toolmakers, machine tool operators, n.e.c
840
Supervisors and foreman, machinery fitting, assembling, reparing and precision instrument making (except electrical)
841
Watch, clock and precision instrument makers(except electrical)
842
Machinery fitters and machine assemblers
843
Motor vehicle mechanics
844
Aircraft engine mechanics
845
Mechanics, repairmen, other
849
Machinery fitters ,machine assemblers and precision instrument makers(except electrical), n.e.c
850
Supervisors and foremen, electrical and electronic equipment fitting, assembling, installing and repairing
851
Electricians, electrical fitters and related workers
852
Electronics fitters
853
Electric and electronic equipment assemblers
854
Radio television mechanics and repairmen
855
Electrical wiremen
856
Telephone and telegraph installers and repairmen
857
Electric linemen and cable jointers
859
Electrical fitters and related electrical and electronic workers, n.e.c
860
Supvisors, broadcasting, audio-visual projection and sound equipment operators
861
Radio Broadcasting Television Operators
862
Sound equipment operators and cinema projectionists
869
Broadcasting station and sound equipment operators and cinema projectionists
870
Supervisors, foremen, plumbing, welding structural and sheet metal working
871
Plumbers and pipe fitters
872
Welders and flame cutters
873
Sheet metal workers
874
Metal plate and structural metal workers
879
Plumbers, welders, sheet metal and structural metal preparers and erectors, n.e.c
880
Supervisors, jewellery and precious metal working
881
Jewellers, goldsmiths and silversmiths
882
Jewellery engravers
883
Other metal engravers (except printing)
889
Jewellers and precious metal workers, n.e.c (except printing)
890
Supervisors and foremen, glass forming, pottery and related activities
891
Glass formers, cutters, grinders and finishers
892
Potters and related clay and abrasive formers
893
Glass and ceramic kilnmen
894
Glass engravers and etchers
895
Glass and ceramics painters and decorators
899
Glass formers, potters and related workers, n.e.c.
900
Supervisors and foremen, rubber and plastics product making
901
Plastics product makers
902
Rubber product makers ( except tyre makers and vulcanisers)
903
Tyre makers and vulcanisers
909
Rubber and plastics product makers, n.e.c
910
Supervisors and foremen paper and paper board product making
911
Paper and paper board product makers
919
Paper and paper product makers, n.e.c.
920
Supervisors and foremen printing and related work
921
Compositors
922
Type setters and photo-type setters
923
Printing pressman
924
Stereo-typers and electro-typers
925
Engravers, printing(except photo engravers)
926
Photo engravers
927
Book binders and related workers
928
Photographic dark room workers
929
Printers and related workers, n.e.c.
930
Supervisors and foremen, painting
931
Painters, construction
932
Painters, spray and sign writing
939
Painters, n.e.c.
940
Supervisors and foremen production and related activities, n.e.c
941
Musical instrument makers and tuners
942
Basketry weavers and brush makers
943
Non-metallic mineral product makers
949
Production and related workers, n.e.c.
950
Supervisors and foremen, bricklaying other construction work
951
Bricklayers, stone masons and tile setters
952
Reinforced concreters, cement finishers and terrazzo workers
953
Roofers
954
Parquetry workers
955
Plasterers
956
Insulators
957
Glaziers
958
Hut builders and thatchers
959
Construction workers, n.e.c.
960
Supervisors and foremen, stationary and related equipment operations
961
Stationary engine and related equipment operators
962
Boilermen and firemen
963
Oilers and greasers (including cleaners motor vehicle)
969
Stationary engine and related equipment operators, n.e.c
970
Supervisors and foremen, material and freight handling and related equipment operator
971
Loaders and unloaders
972
Riggers and cable splicer
973
Crane and hoist operators
974
Earth moving and related machinery operators
975
Checkers, testers, sorters, weighers and counters
976
Packers, labellers and related workers
979
Material handling equipment operators, n.e.c.
980
Supervisors and foremen, transport equipment operation
981
Ships 'deck ratings, barge crews and boatmen
982
Ships' engine room ratings
983
Drivers, railways
984
Firemen, railways
985
Pointsmen, signalmen and shunters, railways
986
Tram car and motor vehicle drivers
987
Drivers, animal and animal drawn vehicles
988
Cycle rickshaw drivers and rickshaw pullers
989
Transport equipment operators and drivers, n.e.c.
998
Operators and laborers, n.e.c.
999
Labourers, other
1001
Workers without occupations, metric and above
1009
Workers without occupations, others
1010
Workers reporting occupations unidentified or unclassified
1099
Workers not reporting any occupation
9998
Unknown
9999
NIU (not in universe)
This variable indicates the person's principal occupation during the week prior to the survey.
Work: Occupation Variables -- PERSON
IPUMS
Principal usual activity status
Principal usual activity status
Principal usual activity status
Principal usual activity status
Principal usual activity status
Principal usual activity: [Questions 2 to 3]
2. Status:
Working with an employer under obligation/ work not specifically compensated by prevalent wage or salary:
[] 1 Attached to landlord
[] 2 Attached to money-lender
[] 3 Attached to landlord-cum-money lender
[] 4 Attached to others
[] 11 Worked (self-employed) in household enterprise
[] 21 Worked as a helper in household enterprise
[] 31 Worked as regular salaried/wage employee
[] 41 Worked as casual wage labour in public works
[] 51 Worked as casual wage labour in other types of work
[] 81 Sought work
[] 91 Attended educational institutions
[] 92 Attended domestic duties only
[] 93 Attended domestic duties and was also engaged in free collection of goods (vegetables, roots, firewood, cattle feed etc.), sewing, tailoring, weaving, etc. for household use
[] 94 Too young to work/ to attend school/ to seek employment
[] 95 Old and disabled
[] 96 Rentiers, pensioners, remittance recipients, etc.
[] 97 Beggars, prostitutes, etc.
[] 98 Others
All persons
1
Attached to landlord
2
Attached to money lender
3
Attached to landlord-cum-money lender
4
Attached to others
11
Worked (self-employed) in household enterprise
21
Worked as helper in household enterprise
31
Worked as regular salaried/wage employee
41
Worked as casual wage labor in public works
51
Worked as casual wage labor in other types of work
81
Did not work but was seeking and/or available for work
91
Attended educational institutions
92
Attended domestic duties only
93
Attended domestic duties and was also engaged in free collection of goods, sewing, tailoring, weaving etc., for household use
94
Too young to work/to attend school/to seek employment
95
Old and disabled
96
Rentiers, pensioners, remittance recipients, etc.
97
Beggars, prostitutes, etc.
98
Others
This variable indicates the person's principal occupation in the past 365 days.
Work Variables -- PERSON
IPUMS
Usual industry
Usual industry
Usual industry
Usual industry
Usual industry
For persons with status codes 01-51 in column 2
[Questions 4 to 6 were asked of persons who were worked under obligation/attached or worked, per Question 2 (codes 1-51).]
Principal industry occupation:
4. _____ Description
5. _ _ _ Industry code (NIC 1970)
6. _ _ _ Occupation code (NCO 1968)
Persons who worked during the 365 days preceding the date of survey
Cereal crops (paddy, whelt, Jowar, bajra, maize, ragi, barley, gram, etc.)
1
Pulses (arhar, moong, masur, urd, etc.)
2
Raw cotton
3
Raw jute, mesta
4
Hemp and other kindred fibres
5
Production of oilseeds such as sesamum, groundnuts, rape, mustard, linseed, castor seeds, etc.
6
Sugar cane
7
Roots and tubers, vegetables, pan, singhara chilies and spices (other than pepper and cardamom) and bowers and parts of plants
8
Agricultural production not elsewhere classified
9
"
10
Tea
11
Coffee
12
Rubber
13
Tobacco
14
Pepper
15
Cardamom
16
Edible nuts (excluding coconut and ground nut) walnut, almond, cashew nut, etc.
17
Production of fruits, coconuts e.g. bananas, apples, grapes, mangoes, oranges, etc.
18
Production of ganja, cinchona, opium, etc.
19
Crops of plantations, not elsewhere classified (e.g. betel nuts etc.)
20
Cattle and goat-breeding, rearing, ranching, etc. and production of milk
21
Rearing of sheep and production of wool
22
Rearing of horses, mules, camels and other pack animals
23
Rearing of pigs and other animals
24
Rearing of ducks, hens and other birds and production of eggs
25
Rearing of bees and production of honey and wax
26
Rearing of silk-worms and production of cocoons and raw milk
29
Rearing of livestock and production of livestock product not elsewhere classified
30
Pest destroying, spraying, pruning of infected stems
31
Operation of irrigation systems
32
Animal sheering and livestock services (other than veterinary services)
33
Grading agricultural and livestock products
34
Horticultural and nursery services
35
Soil conservation
36
Scientific services like soil testing
39
Agricultural services not elsewhere classified (like land clearing, land draining, etc.)
40
Hunting, trapping and game propagation for commercial purposes (other than for sport)
43
Hunting, trapping and game propagation, not elsewhere classified
50
Planting, replanting and conservation of forests
51
Logging-felling and cutting of trees and preparation of rough, round hewn or riven logs (including incidental hauling)
52
Production of fuel (including charcoal by burning) by exploitation of forests
53
Gathering of fodder by exploitation of forests
54
Gathering of uncultivated materials such as gums, resins, lac, barks, herbs, wild fruits and leaves by exploitation of forests
59
Other forest products not elsewhere classified such as munjh
60
Ocean, sea and coastal fishing
61
Inland water fishing
62
Pisciculture-rearing of fish
63
Collection of pearls, conches, shells, sponge and other sea products
66
Fishing and allied activities not elsewhere classified
69
"
99
Agriculture, hunting, forestry, and fishing not elsewhere classified
100
Coal
101
Lignite
109
Coal mining not elsewhere classified
110
Crude petroleum
111
Natural gas
120
Iron ore
121
Manganese
122
Chromite
123
Bauxite
124
Gold and silver ores
125
Copper ore
129
Metal ores, not elsewhere classified
190
Stone quarrying clay and sand pits
191
Chemicals, and fertilizer mineral mining (such as soda ash, sulphur, phosphates, nitrates, etc.)
192
Salt mining and quarrying including crushing, screening and evaporating in pans
193
Precious and semi-precious stones
194
Mica
195
Gypsum
199
Other mining not elsewhere classified (asbestos, quartz, talc and soap stone, natural abrasives other than sand, graphite etc.)
200
Slaughtering, preparation and preservation of meat
201
Manufacture of dairy products
202
Canning and preservation of fruits and vegetables
203
Canning, preserving and processing of fish, crustacean and similar foods
204
Grain mill products
205
Manufacture of bakery products
206
Manufacture and refining of sugar (vacuum pan sugar factories)
207
Production of indigenous sugar, boora, khandsari, gur, etc. from sugar-cane, and palm juice
208
Production of common salt
209
Manufacture of cocoa, chocolate and sugar confectionery (including sweetmeats)
210
Manufacture of hydrogenated oils, vanasspati ghee, etc,
211
Manufacture of other edible oils and fats e.g., mustard oil, ground nut oil, etc. (Inedible oils shown under 315)
212
Tea processing
213
Coffee curing, roasting and grinding
214
Cihwrit processing like drying, shelling, roasting, salting, etc.
215
Manufacture of ice
216
Manufacture of prepared animal feeds
217
Manufacture of starch
219
Manufacture of fool products not elsewhere classified
220
Distilling, rectifying and blending of spirits
221
Wine industries
222
Malt liquors and malt
223
Production of country liquor and toddy
224
Soft drinks and carbonated water industries
225
Tobacco stemming, redrying and all other operations which are connected with preparing raw leaf tobacco for manufacture
226
Manufacture of bidi
227
Manufacture of cigars, cigarettes, cheroot and cigarette tobacco
228
Manufacture of chewing tobacco, zarda and snuff
229
Manufacture of tobacco and tobacco products, not elsewhere classified
230
Cotton ginning, cleaning and baling
231
Cotton spinning, weaving, shrinking, shrinking, mercerising and finishing of cotton textiles in mills
232
Printing, dyeing and bleaching of cotton textiles
233
Cotton spinning other than in mills (charkha)
234
Production of khadi
235
Weaving and finishing of cotton textiles in handlooms, other than khadi
236
Weaving and finishing of cotton textiles in power-looms
239
Cotton textiles not elsewhere classified
240
Wool cleaning, baling and pressing
241
Wool spinning, weaving and finishing in mills
242
Wool spinning and weaving (other than in mills)
243
Dyeing and bleaching of woolen textiles
244
Manufacture of wool not elsewhere classified
245
Spinning, weaving and finishing of silk textiles
246
Printing, dyeing and bleaching of silk textiles
247
Spinning, weaving and finishing of other textiles-synthetic fibres, rayons, nylons, etc.
248
Printing, dyeing and bleaching of synthetic textiles
249
Silk and synthetic fibre textiles not elsewhere classified
250
Jute and mesta pressing and bailing
251
Jute and mesta spinning and weaving
252
Dyeing, printing and bleaching of jute textiles
253
Preparing, spinning, weaving and finishing of hemp and other coarse fibres
254
Manufacture of jute bags and other jute textiles not elsewhere classified
259
"
260
Knitting mills
261
Manufacture of all types of threads, cordage, ropes, twines, nets, etc.
262
Embroidery and making of crepes, laces and fringes
263
Weaving carpets, rugs and other similar textile products
264
Manufacture of all types of textiles, garments including wearing apparel
265
Manufacture of raincoats, hats, etc.
266
Manufacture of made up textile goods (except garments) such as curtains, mosquito nets, etc.
267
Manufacture of water proof textiles such as oil cloth, tarpaulin, etc.
268
Manufacture of coir and coir products
269
Manufacture of textiles not elsewhere classified like linoleum, padding, wadding, upholstering, filling, etc.
270
Manufacture of veneer, plywood and their products
271
Sawing and planing of wood (other than plywood)
272
Manufacture of wooden and cane boxes, crates, drums, barrels and other wooden containers, baskets and other rattan, bamboo, reed and willow wares made entirely or mainly of cane, rattan, reed, bamboo and willow
273
Manufacture of structural wooden goods (including treated timber) such as beams, posts, doors and windows (excluding hewing and rough shaping of poles, bolts and other wood material which is classified under logging)
274
Manufacture of wooden industrial goods, such as bobbins, blocks, handles, saddling and similar equipment and fixtures
275
Manufacture of cork and cork products
276
Manufacture of wooden furniture and fixtures
277
Manufacture of bamboo and cane furniture and fixtures
279
Manufacture of wood, bamboo and cane products not elsewhere classified
280
Manufacture of pulp, paper and paper board including newsprint
281
Manufacture of container and boxes of paper and paper board
282
Manufacture of pulp products not elsewhere classified like dolls
283
Manufacture of paper and paper board articles not elsewhere classified
284
Printing and publishing of newspapers
285
Printing and publishing of periodicals, books, journals, atlases, maps and sheet music, directories etc.
286
Printing of bank notes, currency notes, postage stamps; security presses, etc.
287
Engraving, etching, block making, etc.
288
Bookbinding
289
Printing, publishing and allied activities not elsewhere classified like envelope printing, picture post card printing, embossing, etc.
290
Tanning, curing, finishing, embossing and japanning of leather
291
Manufacture of footwear (excluding repair) except vulcanized or moulded rubber or plastic footwear
292
Manufacture of wearing apparel like coats, gloves, etc. of leather and substitutes of leather
293
Manufacture of leather consumer goods (other than apparel and footwear)
294
Scraping, currying, tanning, bleaching and dyeing of fur and other pelts for the trade
295
Manufacture of wearing apparel of fur and pelts
299
Manufacture of leather and fur products not elsewhere classified
300
Tyre and tube industries
301
Manufacture of footwear made primarily of vulcanized or moulded rubber
302
Manufacture of rubber products not elsewhere classified
303
Manufacture of plastic products not elsewhere classified (except house furnishing)
304
Petroleum refineries
305
Manufacture of products of petroleum not elsewhere classified
306
Production of coal tar in coke ovens
307
Manufacture of other coal and coal tar products not elsewhere classified
309
Manufacture of rubber, plastic, petroleum and coal products, not elsewhere classified
310
Manufacture of basic industrial organic and inorganic chemicals and gases such as acids, alkalies and their salts, gases like acetylene, oxygen, nitrogen, etc.
311
Manufacture of fertilizers and pesticides
312
Manufacture of paints, varnishes and lacquers
313
Manufacture of drugs and medicines
314
Manufacture of perfumes, cosmetics, lotions, hair dressings, toothpastes, soap in any form, synthetic detergents, shampoos, shaving products, cleansers, washing and scouring products and other toilet preparations
315
Manufacture of inedible oils
316
Manufacture of turpentine, synthetic resins, plastic materials and synthetic fibres like nylon, terylene except glass
317
Manufacture of matches
318
Manufacture of explosives and ammunition and fire works
319
Manufacture of chemical products not elsewhere classified (including photo-chemicals, sensitized films and paper)
320
Manufacture of structural clay products
321
Manufacture of glass and glass products
322
Manufacture of earthen ware and earthen pottery
323
Manufacture of china ware and porcelainware
324
Manufacture of cement, lime and plaster
325
Manufacture of mica products
326
Manufacture of structural stone goods, stone dressing and stone crushing, and stoneware
327
Manufacture of earthen and plaster statues and other products
328
Manufacture of asbestos, cement and other cement products
329
Manufacture of miscellaneous non-metallic mineral products such as slate products, abrasives, graphite products, mineral wool, silica products and other non-metallic mineral products not elsewhere classified
330
Iron and steel industries
331
Foundries for casting and forging iron and steel
332
Manufacture of ferro-alloys
333
Copper manufacturing
334
Brass manufacturing
335
Aluminum manufacturing
336
Zinc manufacturing
339
Other non-ferrous metal industries
340
Manufacture of fabricated metal products such as metal cans from tin-plate, terne plate or enameled sheet metal, metal shipping, containers, barrels, drums, kegs, pails, safes, vaults, enameled sanitary and all other fabricated metal products not els[...]
341
Manufacture of structural metal products
342
Manufacture of furniture and fixtures, primarily of metal
343
Manufacture of hand tools and general hardware
344
Enameling, japanning, lacquering, galvanizing, plating and polishing of metal products
345
Manufacture of metal utensils, cutlery and kitchenware
349
Manufacture of metal products except machinery and transport equipment not elsewhere classified, like type-founding
350
Manufacture of agricultural machinery and equipment and parts
351
Manufacture and repair of drills, coal cutting machines, earth moving, lifting and hoisting machinery, cranes, conveyors and road rollers and other heavy machinery and equipment used by construction and mining industries
352
Manufacture of prime movers, boilers and steam generating plants such as diesel engines, and parts
353
Industrial machinery for food and textile industries
354
Industrial machinery, for other than food and textiles industries
355
Manufacture of refrigerators, air conditioners and fire fighting equipment, and other parts, components and accessories
356
Manufacture alteration and repair of general items of nonelectrical machinery, components, equipment and accessories not elsewhere classified
357
Manufacture of machine tools, their parts and accessories
358
Manufacture of office, computing and accounting machinery and parts
359
Manufacture and repair of non-electrical, machinery, equipment, components and accessories not elsewhere classified (such as sewing machines, automatic merchandising machines, washing, laundry, dry cleaning and pressing machines, cooking ranges and o[...]
360
Manufacture of electrical industrial, machinery and apparatus and parts (such as electrical industry motors, generators, transformers, electromagnetic clutches and brakes etc)
361
Manufacture of insulated wires and cables
362
Manufacture of dry and wet batteries
363
Manufacture of electrical apparatus, appliances and their such as lamps, bulbs, tubes, sockets, switches, fans, insul (except porcelain), conductors, irons, heaters, shavers, cleaners, etc., excluding repairing
364
Manufacture of radio and television transmitting and receiving sets including transistor radio sets, sound reproducing and recording equipment including tape recorders, public address; systems, gramophone record and pre-recorded magnetic tapes, wire [...]
365
Manufacture and repair of radiographic x-ray apparatus and tubes and parts
366
Manufacture of electronic computers, control instruments and other equipment
367
Manufacture of electronic components, and accessories not elsewhere classified
369
Manufacture of electrical machinery, apparatus, appliances and supplies and parts not elsewhere classified
370
Ship building and repairing
371
Manufacture of locomotives and parts
372
Manufacture of railway wagons and coaches and parts
373
Manufacture of other railroad equipment
374
Manufacture of motor vehicles and parts
375
Manufacture of motorcycles and scooters and parts
376
Manufacture of bicycles and cycle-rickshaws and parts
377
Manufacture of aircraft and its parts
378
Bullock-carts, push-carts, hand carts, etc.
379
Manufacture of transport equipment and parts not elsewhere classified
380
Manufacture of medical, surgical and scientific equipment
381
Manufacture of photographic and optical goods (excluding photo chemicals, sensitized paper and film)
382
Manufacture of watches and clocks
383
Manufacture of jewellery and related articles
384
Minting of coins
385
Manufacture of sports and athletic goods
386
Manufacture of musical instruments
387
Manufacture of stationery articles like fountain pens, pencil, pens, pin cushions, tags, etc., not elsewhere classified
389
Manufacture of miscellaneous products not elsewhere classified such as costume jewellery, costume novelties, feather plumes, artificial flowers; brooms, brushes, lamp shades, tobacco pipes, cigarette holders, ivory goods, badges, wigs and similar articles
399
Other manufacturing industries, not elsewhere classified
400
Generation and transmission of electric energy
401
Distribution of electric energy to household, industrial and commercial and other users
409
Electricity, not elsewhere classified
410
Manufacture of gas in gasworks and distribution through mains to household, industrial and commercial and other users
419
Manufacture of gas and steam, not elsewhere classified
420
Water supply i.e. collection, purification and distribution of water
429
Other water works and supply industries
499
Other electricity, gas, and water industries, not elsewhere classified
500
Construction and maintenance of buildings (including aerodromes)
501
Construction and maintenance of roads, railway, bridges, tunnels pipe lines, ports, harbours, runways, etc.
502
Construction and maintenance of telegraph and telephone lines and other communication systems
503
Construction and maintenance of water-ways and water reservoirs such as bunds, embankments, dams, canals, tanks, wells, tube wells, etc.
504
Construction of hydro-electric projects
505
Construction of industrial plants including thermal plants
509
Construction not elsewhere classified
510
Plumbing
511
Heating and air conditioning installation, lift installation, sound proofing, etc.
512
Setting of tile, marble, brick, glass and stone
513
Plumber works such as fixing of doors, windows, panels, painting and decorating
514
Electrical installation
519
Other activities allied to construction not elsewhere classified, such as fixing of hand pumps
599
Other construction industries, not elsewhere classified
600
Wholesale trade in cereals and pulses
601
Wholesale trade in foodstuff other than cereals and pulses
602
Wholesale trade in textiles and textile products, like all kinds of fabrics, garments, shirtings, suiting, and hosiery goods
603
Wholesale trade in beverages other than intoxicants, e.g. aerated water
604
Wholesale trade in intoxicants like wines and liquors including bottling
605
Wholesale trade in intoxicants like opium, ganja, etc.
606
Wholesale trade in tobacco and tobacco products
607
Wholesale trade in animals
608
Wholesale trade in straw and fodder
609
Other wholesale trade in food, textiles live animals, beverages and intoxincants, not elsewhere classified
610
Wholesale trade in medicines and chemicals
611
Wholesale trade in fuel and lighting products
612
Wholesale trade in toilets, perfumery and cosmetics
613
Wholesale trade in metal, porcelain and glass utensils, crockery, and chinaware
619
Other wholesale trade in fuel, light, chemicals, perfumery, ceramics, and glass, not elsewhere classified
620
Wholesale trade in petrol, mobile oil and allied products
621
Wholesale trade in wood, cane, bamboo, thatches, etc.
622
Wholesale trade in paper and other stationery goods
623
Wholesale trade in skin, leather and fur, etc.
629
Other wholesale trade in wood, paper, other fabrics, skins, and inedible oils, not elsewhere classified
630
Wholesale trade in agricultural and industrial machinery harvesters, threshers, sowing machines, etc.
631
Wholesale trade in electrical machinery and equipment
632
Wholesale trade in transport and storage equipment
639
Other wholesale trade in all types of machinery, equipment, including transport and electriclal equipment, not elsewhere classified
640
Wholesale trade in furniture and fixtures
641
Wholesale trade in rubber and rubber products
642
Wholesale trace in household equipment not elsewhere classified
643
Wholesale trade in building materials
644
Wholesale trade in clock, eye-glasses frames
645
Wholesale trade in hardware and sanitary equipment
646
Wholesale trade in scientific, medical and surgical instruments
647
Wholesale trade in precious metals, stones, and jewelry
649
Wholesale trade in goods not elsewhere classified
650
Grain and grocery store
651
Vegetable and fruit selling
652
Dealers in meat, fish and poultry
653
Dealers in sweetmeat, bakery products, dairy products and eggs
654
Pan, bidi, and cigarette shops
655
Dealers in aerated water, soft drinks and ice cream
656
Wine and liquor shops
659
Retail trade in food and food articles, beverage, tobacco and intoxicants not elsewhere classified
660
Dealers in textiles (non-readymade)
661
Dealers in ready-made garments
669
Other retail trade in textiles, not elsewhere classified
670
Dealers in firewood, coal and kerosene oil
671
Utensil shops
672
Fancy stores (including crockery and glassware dealers)
673
Dealers in electrical and electronic goods
674
Furniture shops
675
Jewellery marts
676
Footwear shops
679
Retail trade in fuel and other household utilities and durables not elsewhere classified
680
Medical shops
681
Booksellers and stationers
682
Dealers in building material
683
Dealers in transport equipment
684
Petrol filling stations
689
Retail trade and others not elsewhere classified
690
"
691
Hotels, rooming houses, camps and other lodging places
699
Restaurants and hotels, not elsewhere classified
700
Railway transport
701
Passenger transport by tramway and bus-services
702
Passenger transport by other motor vehicles
703
Freight transport by motor vehicles
704
Hackney carriages, bullock-carts, ekka, tonga, etc.
705
Transport by animals like horses, elephants, mules, camels, etc.
706
Transport by man (including rickshaw pullers, hand cart pullers, porters, coolies, etc.)
707
Pipeline transport
708
Supporting services to land transport, like operation of highway bridges, toll roads, vehicular tunnels, parking lots, etc.
709
Other land transport, not elsewhere classified
710
Ocean and coastal water transport
711
Inland water transport
712
Supporting services to water-transport like operation and maintenance of piers, docks, pilotage, light-houses, loading and discharging of vessels, etc.
719
Other water transport, not elsewhere classified
720
Air transport
721
Supporting services to air-transport, like operation of airports, flying facilities, radio beacons, flying control centers, radar stations, etc.
729
Other air transport, not elsewhere classified
730
Services incidental to transport, such as packing, crating, travel agency, etc.
739
Other services incidental to transport, not elsewhere classified
740
Warehousing
741
Cold-storage
749
Storage and warehousing not elsewhere classified
750
Postal, telegraphic, wireless and signal communications
751
Telephone communications
758
Communications not elsewhere classified
799
Transport, storage, and communications, not elsewhere classified
800
Banking
801
Credit institutions other than banks, such as saving and loan associations, agricultural credit institutions, industrial development banks, etc.
809
Other financial institutions such as pawn brokers, money lenders, financiers, chit funds, etc.
810
Provident services
811
Insurance carriers, life
813
Insurance carriers other than life, such as fire, marine, accident, health, etc.
819
Other providents and insurance, not elsewhere classified
820
Purchase, sale, letting and operating of real estate such as residential and non-residential buildings, developing and sub-dividing real estate into lots, lessors of real property, real estate agents, brokers and managers engaged in renting, buying a[...]
821
Purchase and sales agents and brokers
822
Auctioneering
823
Accounting, auditing and book-keeping services
824
Data processing and tabulating services
825
Engineering, architectural and technical services
826
Advertising and publicity services
827
Machinery and equipment, rental and leasing
828
News agencies (e.g. P.T.I., V.N.I., Reuter, etc.)
829
Business services, except machinery and equipment rental and leasing not elsewhere classified including wrapping, packaging and filling
830
Legal services, such as those rendered by advocates, barristers, solicitors, pleaders, mukhtiars, etc.
839
Other legal services, not elsewhere classified
899
Other financing, insurance, real estate, and business services, not elsewhere classified
900
Public services in the union government including defense services
901
Public services in state governments including police services
902
Public services in local bodies, departments and offices engaged in administration like local taxation, business regulations, etc.
903
Public services in quasi-government bodies
909
Other public administration and defense services, not elsewhere classified
910
Sanitation and similar services such as garbage and sewage disposal, operation of garbage systems and all other type of work connected with public health and sanitation
919
Other sanitation services, not elsewhere classified
920
Educational services rendered by technical or vocational colleges, schools and other institutions
921
Educational services, rendered by non-technical colleges, schools, universities and other institutions
929
Research and scientific services not classified elsewhere such as those rendered by institutions and laboratories engaged in research in the biological, physical and social sciences, meteorological institutes and medical research organizations, etc.
930
Health and medical services rendered by organizations and individuals such as hospitals, dispensaries, sanatoria, nursing homes, maternal and child welfare clinics by Allopathic, Ayurvedic, Unani, Homeopathic, etc. practitioners
931
Veterinary services
939
Other medical and health services, not elsewhere classified
940
Religious services by organizations or individuals
941
Welfare services rendered by organizations operating on a nonprofit basis for the promotion of welfare of the community, such as relief societies, creches, homes for the aged, blind, fire brigade services, etc.
942
Business, professional and labour organizations
949
Other community services, not elsewhere classified
950
Motion picture production
951
Motion picture distribution and projection
952
Theatrical producers and entertainment services
953
Authors, music composers and other independent artists not elsewhere classified
954
Radio and television broadcasting
955
Operation of circuses and race tracks
956
Libraries, museums, botanical and zoological gardens, zoos, game sanctuaries, etc.
959
Amusement and recreational services not elsewhere classified
960
Domestic services
961
Laundries, laundry services and cleaning and dyeing plants
962
Hair dressing such as those done by barbers, hair dressing saloons and beauty shops
963
Portrait and commercial photographic studios
969
Personal services not elsewhere classified
971
Repair of footwear and other leather goods
972
Electrical repair shops
973
Repair of motor vehicles and motor cycles
974
Repair of watches, clocks and jewellery
975
Repair of bicycles and cycle rickshaws
979
Repair of enterprises not elsewhere classified
980
International and other extra territorial bodies
989
Other international and other extra territorial bodies, not elsewhere classified
990
Services not elsewhere classified
997
Undocumented
998
Unknown
999
NIU (not in universe)
This variable is the NIC code for the person's principal industry during the past 365 days.
Work: Industry Variables -- PERSON
IPUMS
Usual occupation
Usual occupation
Usual occupation
Usual occupation
Usual occupation
For persons with status codes 01-51 in column 2
[Questions 4 to 6 were asked of persons who were worked under obligation/attached or worked, per Question 2 (codes 1-51).]
Principal industry occupation:
4. _____ Description
5. _ _ _ Industry code (NIC 1970)
6. _ _ _ Occupation code (NCO 1968)
Persons who worked during the 365 days preceding the date of survey
Physicist
1
Chemists (excluding pharmaceutical chemists)
2
Geologists and geophysicists
3
Meteorologist
9
Physical scientists, n.e.c.
10
Physical science technicians
19
Physical science technicians, n.e.c.
20
Architects and town planners
21
Civil engineers
22
Electrical and electronic engineers
23
Mechanical engineers
24
Chemical engineers
25
Metallurgists
26
Mining engineers
27
Industrial engineers
28
Surveyors
29
Other architects and engineers, n.e.c.
30
Draughtsmen
31
Civil engineering overseers and technicians
32
Electrical and electronic engineering overseers and technicians
33
Mechanical engineering overseers and technicians
34
Chemical engineering technicians
35
Metallurgical technicians
36
Transport and communication supervisors
37
Survey technicians
39
Engineering technicians, n.e.c.
40
Aircraft pilots
41
Flight engineers
42
Flight navigators
43
Ship's deck officers and pilots
44
Ships engineers
49
Aircraft and ship's officers, n.e.c.
50
Biologists, zoologists, botanists and related scientists
51
Bacteriologists, pharmacologists and related scientists
53
Agronomists and agricultural scientists
59
Life scientists, n.e.c.
60
Life science technicians
69
Other life science technicians, n.e.c.
70
Physicians and surgeons, Allopathic
71
Physicians and surgeons, Ayurvedic
72
Physicians and surgeons, homoeopathic
73
Physician and surgeons, Unani
74
Dental surgeons
75
Veterinarians
76
Pharmacists
77
Dieticians and nutritionists
78
Public health physicians
79
Physicians and surgeons, n.e.c.
80
Vaccinators, inoculators and medical assistants
81
Dental assistants
82
Vete rinary assistants
83
Pharmaceutical assistants
84
Nurses
85
Midwives and health visitors
86
X-ray technicians
87
Optometrists and opticians
88
Physiotherapists and occupational therapists
89
Technicians, n.e.c.
90
Scientific medical and technical persons, other
99
"
100
Mathematicians
101
Statisticians
102
Actuaries
103
System analysts and programmers
104
Statistical investigators and related workers
109
Mathematicians, statisticians and related workers, n.e.c.
110
Economists
111
Economic investigators and related workers
119
Economists and related workers, n.e.c.
120
Accountants and auditors
121
Cost and works accountants
129
Accountants, auditors and related workers, n.e.c.
130
Sociologists and anthropologists
131
Historians, archeologists and political scientists and related workers
132
Geographers
134
Librarians, archivists and curators
135
Philologists, translators and interpreters
136
Personnel and occupational specialists
137
Labour, social welfare and political workers
139
Social scientists and related workers, n.e.c.
140
Lawyers
141
Judges and magistrates
142
Legal assistants
149
Jurists, n.e.c.
150
Teachers, university and colleges
151
Teachers, higher secondary and secondary schools
152
Teachers, middle school
153
Teachers, primary
154
Teachers, pre-primary
155
Teachers, special education
156
Teachers, craft
159
Teachers, n.e.c.
160
Poets, authors and critics
161
Editors and journalists
169
Poets, authors, journalists and related workers, n.e.c.
170
Sculptors, painters and related artists
171
Commercial artists, interior decorators and designers
172
Movie camera operators
173
Photographers, other
179
Sculptors, painters, photographers and related creative artists, n.e.c.
180
Composers, musicians and singers
181
Choreographers and dancers
182
Actors
183
Stage and film directors and producers (performing arts)
184
Circus performers
189
Composers and performing artists, n.e.c.
190
Ordained religious workers
191
Non-ordained religious workers
192
Astrologers, palmists and related workers
193
Athletes, sportsmen and related workers
199
Professional workers, n.e.c.
200
Elected officials, union government
201
Elected officials, state government
202
Elected officials, local bodies
209
Elected officials, n.e.c.
210
Administrative and executive officials, union government
211
Administrative and executive officials, state government
212
Administrative and executive officials, quasi government
213
Administrative and executive officials, local bodies
219
Administrative and executive officials, govt and local bodies, n.e.c.
220
Working proprietors, directors and managers, wholesale
221
Working proprietors, directors and managers, retail trade
229
Working proprietors, directors and managers wholesale and retail trade, n.e.c.
230
Directors and managers, bank
231
Directors and managers, insurance
239
Directors and managers, financial institution, n.e.c.
240
Working proprietors, directors and managers, mining, quarrying and well drilling
241
Working proprietors, directors and managers, construction
242
Working proprietors, directors and managers, electricity, gas and water
243
Working proprietors, directors and managers, manufacturing
249
Manufacturing and related concerns, n.e.c.
250
Working proprietors, directors, managers and related executives, transport
251
Directors, managers and related executives, communication
252
Warehouse
259
Storage and communication, n.e.c.
260
Working proprietors, directors and managers, lodging and catering services
261
Working props, dirs and managers, recreation and entertain
269
Working proprietors, directors, managers, and related executives, other services
299
Administrative, executive and managerial workers, n.e.c.
300
Clerical supervisors, ( office superintendents), head clerks, section heads
301
Other supervisors (inspectors, etc.)
302
Ministerial and office assistants
309
Clerical and other supervisors, other
310
Village officials
319
Village officials, other
320
Stenographers and steno-typists
321
Typists
322
Tele-typists
323
Card and tapepunching machine operators
329
Stenographer, typist and card and tape punching operators, n.e.c.
330
Book keepers and accounts clerks
331
Cashiers
339
Bookkeepers, cashiers and related workers, n.e.c.
340
Book-keeping and calculating machine operators
341
Automatic data processing machine operators
349
Computing machine operators, n.e.c.
350
Clerks, general
351
Store keeper and related workers
352
Receptionists
353
Library clerks
354
Time keepers
355
Coders
356
Ticket sellers
357
Ticket collectors, checkers and examiners
358
Office attendants (peons, daftries, etc.)
359
Clerical and related workers (including proof readers and copy holders), n.e.c.
360
Station masters and station superintendents, transport
361
Postmasters, telegraph masters and other supervisors
369
Transport and communication supervisor, n.e.c.
370
Guards and breaks men, railway
371
Conductors, transport
379
Transport conductors and guards, n.e.c.
380
Postmen
381
Messengers and dispatch riders
389
Mail distributors and related workers, n.e.c.
390
Telephone operators
391
Telegraphists and signallers
392
Radio communication and wireless operators
399
Telephone and telegraph operators, n.e.c.
400
Merchants and shopkeepers, wholesale trade
401
Merchants and shopkeepers, retail trade
409
Merchants and shop keepers and wholesale and retail trade, n.e.c.
410
Sales supervisors
411
Purchasing agents
412
Selling agents
419
Manufacturers agents, n.e.c.
420
Technical salesmen and service advisors
421
Commercial travelers
429
Technical salesmen and commercial travelers, n.e.c.
430
Salesmen, shop assistants and demonstrators
431
Street vendors, canvassers and news vendors
439
Salesmen, shop assistants and related workers, n.e.c.
440
Agents and salesmen, insurance
441
Agents, brokers and salesmen, real estate
442
Agents and brokers, securities and shares
443
Agents, brokers and salesmen, advertising and other business services
444
Auctioneers
445
Valuers and appraisers
449
Insurance, real estate, securities and business services, salesmen and auctioneers, n.e.c.
450
Money lenders (including indigenous bankers)
451
Pawn brokers
459
Money lenders and pawn brokers, n.e.c.
490
Sales workers, n.e.c
500
Hotel and restaurant keepers
510
House keepers, matrons and stewards
520
Cooks and cook bearers
521
Butlers, bearers and waiters
522
Bartenders and related workers
529
Cooks, waiters and related workers, n.e.c.
530
Ayahs, nurse, maids
531
Domestic servants
539
Maids and related housekeeping service workers, n.e.c.
540
Building caretakers
541
Sweepers, cleaners and related workers
542
Watermen
549
Building caretakers, sweepers, cleaners and related workers, n.e.c.
550
Laundrymen, washermen and dhobis
551
Dry cleaners and pressers
559
Launderers, dry cleaners and pressers, n.e.c.
560
Hair dressers, barbers, beauticians and related workers
570
Fire fighters
571
Policemen and detectives
572
Customs examiners, patrollers and related workers
573
Protection force, home guard and security workers
574
Watchmen, chowkidars and gate keepers
579
Protective service workers, n.e.c.
590
Guides
591
Undertakers and embalmers
599
Service workers, n.e.c.
600
Farm managers and supervisors, crop production
601
Manager, plantation
602
Farm managers, horticulture
603
Farm manager, livestock farm
604
Farm manager, dairy farm
605
Farm manager, poultry farm
609
Farm managers and supervisors, n.e.c.
610
Cultivators (owners)
611
Cultivators (tenants)
619
Cultivators, n.e.c.
620
Planters
621
Livestock farmers
622
Dairy farmers
623
Poultry farmers
624
Insect rearers
625
Orchard, vineyard and related workers
629
Farmers, other than cultivators, n.e.c.
630
Agricultural labourers
640
Plantation labourers
641
Tappers, (palm, rubber trees, etc.)
649
Plantation labourers and related workers, n.e.c.
650
Farm machinery operators
651
Farm workers, animal, birds and insect rearing
652
Gardeners and nursery workers
659
Other farm workers, n.e.c.
660
Foresters and related workers
661
Harvesters and gatherers of forest products including lac (except logs)
662
Log fellers and wood cutters
663
Charcoal burners and forest product processors
669
Loggers and other forestry workers, n.e.c.
670
Hunters
671
Trappers
679
Hunters and related workers, n.e.c.
680
Fishermen, deep sea
681
Fishermen, inland and coastal waters
682
Conch and shell gatherers, sponge and pearl divers
689
Fishermen and related workers, n.e.c.
690
Farmers, fishermen, hunters, loggers, and related workers, n.e.c.
691
"
692
"
693
"
694
"
710
Supervisor and foreman, mining, quarrying, well drilling and related activities
711
Miners
712
Quarrymen
713
Drillers, mines and quarries
714
Shot firers
715
Miners and quarrymen, other
716
Well drillers, petroleum and gas
717
Well drillers, other than petroleum and gas
718
Mineral treaters
719
Miners, quarrymen and related workers, n.e.c.
720
Supervisors and foremen, metal smelting converting refining
721
Metal smelting, converting and refining furnace men
722
Metal rolling mill workers
723
Metal melters and reheaters
724
Metal casters
725
Metal moulder and core makers
726
Metal annealers, temperers and case hardeners
727
Metal drawers and extruders
728
Metal platters and coaters
729
Metal processors, n.e.c.
730
Supervisor and foreman, wood preparation and paper making
731
Wood treaters
732
Sawyers, plywood makers and related wood processing workers
733
Paper pulp preparers
734
Paper makers
739
Wood preparation and paper making workers, n.e.c.
740
Supervisor and foreman, chemical processing and related activities
741
Crushers, grinders and mixers
742
Cookers, roasters and related heat treaters
743
Filter and separator operators
744
Still and reactor operators
745
Petroleum refining workers
749
Chemical processors and related workers, n.e.c.
750
Supervisors and foremen, spinning, weaving, knitting, dyeing and related processes
751
Fibre preparers
752
Spinners and winders
753
Warpers and sizers
754
Weaving and knitting machine setters and pattern card preparers
755
Weavers and related workers
756
Carpet makers and finishers
757
Knitters
758
Bleachers, dyers and textile product finishers
759
Spinners, weavers, knitters, dyers and related workers, n.e.c
760
Supervisors and foremen, tanning and pelt dressing
761
Tanners and fell mongers
762
Pelt dressers
769
Fellmongers and pelt dressers, n.e.c.
770
Supervisors and foremen, food and beverage processing
771
Grain millers, parchers and related workers
772
Crushers and pressers, oil seeds
773
Khandsari, sugar and gur makers
774
Butchers and meat preparers
775
Food preservers and canners
776
Dairy product processors
777
Bakers, confectioners, candy and sweet meat makers, other food processors
778
Tea, coffee and cocoa prepares
779
Brewers and aerated water and beverage makers
780
Supervisors and foremen tobacco and tobacco product makers
781
Tobacco prepares
782
Cigar makers
783
Cigarette makers
784
Bidi makers
789
Tobacco prepares and tobacco product makers, n.e.c.
790
Supervisors and foremen, tailoring, dress making, sewing, upholsterywork
791
Tailors and dress makers
793
Milliners, hat and cap makers
794
Pattern makers and cutters
795
Sewers and embroiders
796
Upholsterers and related workers
799
Tailors, dressmakers, sewers, upholsterers and related workers, n.e.c.
800
Supervisor and foremen, shoe and leather goods making
801
Shoe makers and shoe repairers
802
Shoe cutters, lasters, sewers and related workers
809
Leather, cutters, lasters and sewers and related workers, n.e.c.
810
Supervisors, foremen, carpentry, cabinet making related wood working processes
811
Carpenter
812
Cabinet makers
813
Wood working machine operators
814
Cart builders and wheel wrights
815
Coach and body builders
816
Shipwrights and boat builders
819
Carpenters, cabinet makers and related workers, n.e.c.
820
Supervisors and foremen, stone cutting and carving
821
Stone cutter and carvers
829
Stone cutters and carvers, n.e.c.
830
Supervisors and foremen, blacksmiths, tool making and machine tool operations
831
Blacksmiths, hammersmiths and forging press operators
832
Metal markers
833
Tool makers and metal pattern makers
834
Machine tool setters
835
Machine tool operators
836
Metal grinders, polishers and tool sharpeners
839
Blacksmiths, toolmakers, machine tool operators, n.e.c.
840
Supervisors and foreman, machinery fitting, assembling, reparing and precision instrument making (except electrical)
841
Watch, clock and precision instrument makers (except electrical)
842
Machinery fitters and machine assemblers
843
Motor vehicle mechanics
844
Aircraft engine mechanics
845
Mechanics, repairmen, other
849
Machinery fitters, machine assemblers and precision instrument makers (except electrical), n.e.c.
850
Supervisors and foremen, electrical and electronic equipment fitting, assembling, installing and repairing
851
Electricians, electrical fitters and related workers
852
Electronics fitters
853
Electric and electronic equipment assemblers
854
Radio television mechanics and repairmen
855
Electrical wiremen
856
Telephone and telegraph installers and repairmen
857
Electric linemen and cable jointers
859
Electrical fitters and related electrical and electronic workers, n.e.c
860
Supervisors, broadcasting, audio-visual projection and sound equipment operators
861
Radio broadcasting television operators
862
Sound equipment operators and cinema projectionists
869
Broadcasting station and sound equipment operators and cinema projectionists
870
Supervisors, foremen, plumbing, welding structural and sheet metal working
871
Plumbers and pipe fitters
872
Welders and flame cutters
873
Sheet metal workers
874
Metal plate and structural metal workers
879
Plumbers, welders, sheet metal and structural metal preparers and erectors, n.e.c
880
Supervisors, jewellery and precious metal working
881
Jewelers, goldsmiths and silversmiths
882
Jewellery engravers
883
Other metal engravers (except printing)
889
Jewelers and precious metal workers, n.e.c (except printing)
890
Supervisors and foremen, glass forming, pottery and related activities
891
Glass formers, cutters, grinders and finishers
892
Potters and related clay and abrasive formers
893
Glass and ceramic kilnmen
894
Glass engravers and etchers
895
Glass and ceramics painters and decorators
899
Glass formers, potters and related workers, n.e.c.
900
Supervisors and foremen, rubber and plastics product making
901
Plastics product makers
902
Rubber product makers (except tire makers and vulcanisers)
903
Tyre makers and vulcanisers
909
Rubber and plastics product makers, n.e.c.
910
Supervisors and foremen paper and paper board product making
911
Paper and paper board product makers
919
Paper and paper product makers, n.e.c.
920
Supervisors and foremen printing and related work
921
Compositors
922
Type setters and photo-type setters
923
Printing pressman
924
Stereo-typers and electro-typers
925
Engravers, printing (except photo engravers)
926
Photo engravers
927
Book binders and related workers
928
Photographic dark room workers
929
Printers and related workers, n.e.c.
930
Supervisors and foremen, painting
931
Painters, construction
932
Painters, spray and sign writing
939
Painters, n.e.c.
940
Supervisors and foremen production and related activities, n.e.c
941
Musical instrument makers and tuners
942
Basketry weavers and brush makers
943
Non-metallic mineral product makers
949
Production and related workers, n.e.c.
950
Supervisors and foremen, bricklaying other construction work
951
Bricklayers, stone masons and tile setters
952
Reinforced concreters, cement finishers and terrazzo workers
953
Roofers
954
Parquetry workers
955
Plasterers
956
Insulators
957
Glaziers
958
Hut builders and thatchers
959
Construction workers, n.e.c.
960
Supervisors and foremen, stationary and related equipment operations
961
Stationary engine and related equipment operators
962
Boilermen and firemen
963
Oilers and greasers (including cleaners motor vehicle)
969
Stationary engine and related equipment operators, n.e.c.
970
Supervisors and foremen, material and freight handling and related equipment operator
971
Loaders and unloaders
972
Riggers and cable splicer
973
Crane and hoist operators
974
Earth moving and related machinery operators
975
Checkers, testers, sorters, weighers and counters
976
Packers, labelers and related workers
979
Material handling equipment operators, n.e.c.
980
Supervisors and foremen, transport equipment operation
981
Ships deck ratings, barge crews and boatmen
982
Ships' engine room ratings
983
Drivers, railways
984
Firemen, railways
985
Pointsmen, signalmen and shunters, railways
986
Tram car and motor vehicle drivers
987
Drivers, animal and animal drawn vehicles
988
Cycle rickshaw drivers and rickshaw pullers
989
Transport equipment operators and drivers, n.e.c.
990
Labourers, other
997
Undocumented
998
Unknown
999
NIU (not in universe)
This variable is the NCO code for the person's principal occupation during the past 365 days.
Work: Occupation Variables -- PERSON
IPUMS
Whether stayed temporarily for work for a continuous period (4 weeks or more) at different places during the last 365 days
Whether stayed temporarily for work for a continuous period (4 weeks or more) at different places during the last 365 days
Whether stayed temporarily for work for a continuous period (4 weeks or more) at different places during the last 365 days
Whether stayed temporarily for work for a continuous period (4 weeks or more) at different places during the last 365 days
Whether stayed temporarily for work for a continuous period (4 weeks or more) at different places during the last 365 days
12. Whether stayed temporarily for work for a continuous period of 4 weeks or more at a different place during the last 365 days:
[] 1 Yes
[] 2 No
All persons
1
Yes
2
No
This variable indicates whether the person stayed temporarily for work for a continuous 4 weeks or more during the last 365 days.
Work Variables -- PERSON
IPUMS
Reason code for temporary work away
Reason code for temporary work away
Reason code for temporary work away
Reason code for temporary work away
Reason code for temporary work away
If yes in column 12 [Answer questions 13-23]
13. Reason:
[Question 13 was asked of persons who stayed temporarily for work for a continuous period of 4 weeks or more at a different place during the last 365 days, per Question 12.]
[] 1 Non-availability of work at the place of enumeration
[] 2 For better employment
[] 3 Required by nature of work
Persons who stayed temporarily in a different place for work for a continuous period of 4 weeks or more during the last 365 days
1
Non-availability of work at in place of enumeration
2
For better employment
3
Required by the nature of work
8
Unknown
9
NIU (not in universe)
This variable indicates the reason that the person temporarily stayed at different places for work during the last 365 days.
Work Variables -- PERSON
IPUMS
Weeks of temporary work away
Weeks of temporary work away
Weeks of temporary work away
Weeks of temporary work away
Weeks of temporary work away
If yes in column 12 [Answer questions 13-23]
[Question 14 and 15 were asked of persons who stayed temporarily for work for a continuous period of 4 weeks or more at a different place during the last 365 days, per Question 12.]
14. _____ Total period (in weeks)
15. _____ Number of places stayed at
Persons who stayed temporarily in a different place for work for a continuous period of 4 weeks or more during the last 365 days
Less than a week
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
47
47
48
48
49
49
50
50
51
51
52
52
56
56
60
60
61
61
65
65
69
69
70
70
72
72
74
74
80
80
81
81
86
86
91
91
96
96
97
97
99
99
998
Unknown
999
NIU (not in universe)
This variable indicates the total number of weeks that the person stayed temporarily at different places for work during the last 365 days.
Work Variables -- PERSON
IPUMS
Whether engaged on a regular basis in any gainful work in subsidiary capacity
Whether engaged on a regular basis in any gainful work in subsidiary capacity
Whether engaged on a regular basis in any gainful work in subsidiary capacity
Whether engaged on a regular basis in any gainful work in subsidiary capacity
Whether engaged on a regular basis in any gainful work in subsidiary capacity
3. Whether engaged on a regular basis in any gainful work in subsidiary capacity:
[] 1 Yes
[] 2 No
Persons who did not work (principal usual activities) due to reasons other than being too young to work
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person was engaged on a regular basis in any gainful work in a subsidiary capacity.
Work Variables -- PERSON
IPUMS
Full engagement in work during the last 365 days
Full engagement in work during the last 365 days
Full engagement in work during the last 365 days
Full engagement in work during the last 365 days
Full engagement in work during the last 365 days
4. For persons with usual activity status codes 01-51 only
Were you more or less fully engaged in work during the last 365 days?
[] 1 Yes
[] 2 No
Persons whose principal usual activities were working
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person was fully engaged in work during the last 365 days.
Work Variables -- PERSON
IPUMS
Job seeking for the first time
Job seeking for the first time
Job seeking for the first time
Job seeking for the first time
Job seeking for the first time
5. For persons with usual activity status codes 81 only
Were you seeking or available for work for the first time?
[] 1 Yes [skip to Question 12]
[] 2 No [skip to Question 12]
Persons who did not work but were seeking and/or available for work
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person was seeking or available for work for the first time.
Work Variables -- PERSON
IPUMS
Seeking work/additional work
Seeking work/additional work
Seeking work/additional work
Seeking work/additional work
Seeking work/additional work
6. Were you seeking or available for work/additional work? (Do not ask this question to persons with usual activity status code 81, for them record code 1)
[Question 6 was asked of persons who were not seeking work, per Question 2 of Block 6.]
[] 1 Yes
[] 2 No [skip to Question 12]
All persons except for beggars, prostitutes, the disabled, or people who were too young or too old to work
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person was seeking or available for work or additional work.
Work Variables -- PERSON
IPUMS
Effort to get work/additional work
Effort to get work/additional work
Effort to get work/additional work
Effort to get work/additional work
Effort to get work/additional work
7. If yes in question 6, what efforts did you make to get work/additional work?
[Question 7 was asked of persons who were not seeking work, per Question 2 of Block 6 (codes 1 to 51), but were seeking or available for work/additional work, per Question 6.]
[] 1 Currently on the live register of the employment exchange
[] 2 Made other efforts
[] 3 Made no effort
Persons who were seeking or available for work or additional work
1
Currently on the live register of the employment exchange
2
Made other efforts
3
Made no effort
9
NIU (not in universe)
This variable indicates whether the person made any effort to get work or additional work.
Work Variables -- PERSON
IPUMS
Duration of job seeking
Duration of job seeking
Duration of job seeking
Duration of job seeking
Duration of job seeking
8. How long were you seeking or available for work/additional work?
[Question 8 was asked of persons who were not seeking work, per Question 2 of Block 6 (codes 1 to 51), but were seeking or available for work/additional work, per Question 6.]
[] 1 Up to 1 month
[] 2 1-3 months
[] 3 3-6 months
[] 4 6-9 months
[] 5 9-12 months
[] 6 More than 12 months
Persons who were seeking or available for work or additional work
1
Up to one month
2
1-3 months
3
3-6 months
4
6-9 months
5
9-12 months
6
More than 12 months
8
Unknown
9
NIU (not in universe)
This variable indicates how long the person was seeking or available for work or additional work.
Work Variables -- PERSON
IPUMS
Type of work/additional work sought
Type of work/additional work sought
Type of work/additional work sought
Type of work/additional work sought
Type of work/additional work sought
9. What type of work/additional work did you seek or were you available for?
[Question 9 was asked of persons who were not seeking work, per Question 2 of Block 6 (codes 1 to 51), but were seeking or available for work/additional work, per Question 6.]
[] 1 Both farm and non-farm work
[] 2 Farm work only
[] 3 Public works only
[] 4 Non-farm work only
Persons who were seeking or available for work or additional work
1
Both farm and non-farm work
2
Farm work only
3
Public works only
4
Non-farm work only
8
Unknown
9
NIU (not in universe)
This variable indicates the type of work or additional work that the person was available for or seeking.
Work Variables -- PERSON
IPUMS
Status of work sought or available for
Status of work sought or available for
Status of work sought or available for
Status of work sought or available for
Status of work sought or available for
10. Status of work/additional work sought or were available for:
[Question 10 was asked of persons who were not seeking work, per Question 2 of Block 6 (codes 1 to 51), but were seeking or available for work/additional work, per Question 6.]
[] 1 Wage/salaried employment: full time
[] 2 Wage/salaried employment: part time
[] 3 Contract/piece rate work: full time
[] 4 Contract/piece rate work: part time
[] 5 Self-employment: full time
[] 6 Self-employment: part time
Persons who were seeking or available for work or additional work
1
Wage/salaried employment; full time
2
Wage/salaried employment; part time
3
Contract/piece rate work; full time
4
Contract/piece rate work; part time
5
Self-employment; full time
6
Self-employment; part time
8
Unknown
9
NIU (not in universe)
This variable indicates the status of the kind of work or additional work that a person was available for or seeking.
Work Variables -- PERSON
IPUMS
Location of work desired
Location of work desired
Location of work desired
Location of work desired
Location of work desired
11. If willing to accept wage/salaried employment, location of work desired:
[Question 11 was asked of persons who were not seeking work, per Question 2 of Block 6 (codes 1 to 51), but were seeking or available for work/additional work, per Question 6.]
[] 1 Within village/town only
[] 2 Outside village/town only
[] 3 Within or outside village/town
Persons who were seeking or available for wage or salaried work
1
Within village/town only
2
Outside village/town only
3
Within or outside village/town
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person was willing to accept wage or salaried employment and the location of work desired.
Work Variables -- PERSON
IPUMS
Required to spend most of your time on domestic duties
Required to spend most of your time on domestic duties
Required to spend most of your time on domestic duties
Required to spend most of your time on domestic duties
Required to spend most of your time on domestic duties
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
3. Were you required to spend most of your time on domestic duties almost throughout the last 365 days?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person was required to spend most of his or her time on domestic duties during the last 365 days.
Other Person Variables -- PERSON
IPUMS
Reason required to spend most of your time on domestic activities
Reason required to spend most of your time on domestic activities
Reason required to spend most of your time on domestic activities
Reason required to spend most of your time on domestic activities
Reason required to spend most of your time on domestic activities
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
4. If 'yes' in question 3, reason thereof:
[Question 4 was recorded for persons who attended domestic duties (per Question 2 of Block 6) and were required to spend most of their time on domestic duties almost throughout the last 365 days, per Question 3.]
[] 1 No other member to carry out the domestic duties
[] 2 Cannot afford hired help
[] 3 For social and/or religious constraints
[] 9 Others
Persons who were required to spend most of their time on doing domestic duties in the past 365 days
1
No other member to carry out the domestic duties
2
Cannot afford hired help
3
For social and/or religious constraints
4
Others
9
NIU (not in universe)
This variable indicates the reason that the person was required to spend most of his or her time on domestic activities.
Other Person Variables -- PERSON
IPUMS
Reason not required to spend most of time on domestic activities
Reason not required to spend most of time on domestic activities
Reason not required to spend most of time on domestic activities
Reason not required to spend most of time on domestic activities
Reason not required to spend most of time on domestic activities
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
5. If 'no' in question 3, reason thereof:
[Question 5 was recorded for persons who attended domestic duties (per Question 2 of Block 6) and were not required to spend most of their time on domestic duties almost throughout the last 365 days, per Question 3.]
[] 1 Non-availability of work
[] 2 By preference
[] 9 Others
Persons who were not required to spend most of their time on doing domestic duties in the past 365 days
1
Non-availability of work
2
By preference
3
Others
8
Unknown
9
NIU (not in universe)
This variable indicates the reason that the person was not required to spend most of his or her time on domestic activities.
Other Person Variables -- PERSON
IPUMS
Carry out maintenance of kitchen garden, orchard
Carry out maintenance of kitchen garden, orchard
Carry out maintenance of kitchen garden, orchard
Carry out maintenance of kitchen garden, orchard
Carry out maintenance of kitchen garden, orchard
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
6. Maintenance of kitchen gardens, orchards etc.?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly maintained a kitchen garden or orchard.
Other Person Variables -- PERSON
IPUMS
Work in the household poultry
Work in the household poultry
Work in the household poultry
Work in the household poultry
Work in the household poultry
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
7. Work in household poultry?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly worked in the household poultry.
Other Person Variables -- PERSON
IPUMS
Work in household dairy
Work in household dairy
Work in household dairy
Work in household dairy
Work in household dairy
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
8. Work in household dairy?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly worked in the household dairy.
Other Person Variables -- PERSON
IPUMS
Collection of fish, game, fruit, vegetables
Collection of fish, game, fruit, vegetables
Collection of fish, game, fruit, vegetables
Collection of fish, game, fruit, vegetables
Collection of fish, game, fruit, vegetables
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
9. Free collection of fish, small games, wild fruits, vegetables etc. for household consumption?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly worked in free collection of fish, game, fruit, vegetables, and so on for household consumption.
Other Person Variables -- PERSON
IPUMS
Free collection of firewood, cow dung, cattle feed
Free collection of firewood, cow dung, cattle feed
Free collection of firewood, cow dung, cattle feed
Free collection of firewood, cow dung, cattle feed
Free collection of firewood, cow dung, cattle feed
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
10. Free collection of firewood, cow-dung, cattle feed etc. for household consumption?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person worked in the free collection of firewood, cow dung, or cattle feed etc. for household use.
Other Person Variables -- PERSON
IPUMS
Husking paddy for the consumption
Husking paddy for the consumption
Husking paddy for the consumption
Husking paddy for the consumption
Husking paddy for the consumption
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
11. Husking padding for household consumption?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly husked paddy for household consumption.
Other Person Variables -- PERSON
IPUMS
Preparation of gur for household consumption
Preparation of gur for household consumption
Preparation of gur for household consumption
Preparation of gur for household consumption
Preparation of gur for household consumption
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
12. Preparation of gur for household consumption?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly prepared gur for household consumption.
Other Person Variables -- PERSON
IPUMS
Grinding of foodgrains
Grinding of foodgrains
Grinding of foodgrains
Grinding of foodgrains
Grinding of foodgrains
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
13. Grinding of food grains for household consumption?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly grinded food grains for household consumption.
Other Person Variables -- PERSON
IPUMS
Preparation of cow-dung cakes
Preparation of cow-dung cakes
Preparation of cow-dung cakes
Preparation of cow-dung cakes
Preparation of cow-dung cakes
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
14. Preparation of cow dung cake for use as fuel in the household?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly prepared cow-dung cake for use as fuel in the household.
Other Person Variables -- PERSON
IPUMS
Sewing, tailoring, weaving, etc
Sewing, tailoring, weaving, etc
Sewing, tailoring, weaving, etc
Sewing, tailoring, weaving, etc
Sewing, tailoring, weaving, etc
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
15. Sewing, tailoring, weaving etc. for household use?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly sewed, tailored, weaved, and so on for household use.
Other Person Variables -- PERSON
IPUMS
Tutoring of own/other children
Tutoring of own/other children
Tutoring of own/other children
Tutoring of own/other children
Tutoring of own/other children
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
16. Tutoring of own children or other children free of charge?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly tutored his or her own or other's children free of charge.
Other Person Variables -- PERSON
IPUMS
Bringing of water from outside for household consumption
Bringing of water from outside for household consumption
Bringing of water from outside for household consumption
Bringing of water from outside for household consumption
Bringing of water from outside for household consumption
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
17. Bringing water from outside the household premises?
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly brought water from an outside source for the household for consumption.
Other Person Variables -- PERSON
IPUMS
Bringing water from outside village (rural areas only)
Bringing water from outside village (rural areas only)
Bringing water from outside village (rural areas only)
Bringing water from outside village (rural areas only)
Bringing water from outside village (rural areas only)
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
18. Bringing water from outside the village? [Only for rural areas]
[] 1 Yes
[] 2 No [skip to Q20]
Persons in rural areas who attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person regularly brought water from an outside village.
Other Person Variables -- PERSON
IPUMS
Distance of water brought from outside village
Distance of water brought from outside village
Distance of water brought from outside village
Distance of water brought from outside village
Distance of water brought from outside village
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
Along with your domestic duties did you also more or less regularly carry out: [For questions 6 to 18]
18. Bringing water from outside the village? [Only for rural areas]
[] 1 Yes
[] 2 No [skip to Q20]
[Question 19 was recorded for persons who attended domestic duties (per Question 2 of Block 6) and brought water from outside the village, per Question 18 in Block 9]
19. If 'yes' in question 18, distance in kilometres _____
Persons in rural areas who brought water from outside village
Less than 1 kilometer
1
1
2
2
3
3
4
4
5
5
6
6
8
8
10
10
11
11
12
12
15
15
20
20
21
21
22
22
23
23
25
25
26
26
30
30
31
31
50
50
52
52
60
60
98
Unknown
99
NIU (not in universe)
This variable indicates the distance of the person's route if he or she brought water from an outside village.
Other Person Variables -- PERSON
IPUMS
Willingness to accept work despite domestic duties
Willingness to accept work despite domestic duties
Willingness to accept work despite domestic duties
Willingness to accept work despite domestic duties
Willingness to accept work despite domestic duties
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
20. In spite of your pre-occupation in domestic duties, are you willing to accept work, if work is made available at your household?
[] 1 Yes
[] 2 No [skip to Q21]
Persons who usually attended domestic duties in the past 365 days
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person was willing to accept work in spite of his or her domestic duties.
Other Person Variables -- PERSON
IPUMS
Nature of work acceptable in addition to domestic duties
Nature of work acceptable in addition to domestic duties
Nature of work acceptable in addition to domestic duties
Nature of work acceptable in addition to domestic duties
Nature of work acceptable in addition to domestic duties
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
20. In spite of your pre-occupation in domestic duties, are you willing to accept work, if work is made available at your household?
[] 1 Yes
[] 2 No [skip to Q21]
If 'yes' in question 20: [For Questions 21 to 24]
[Normally occupied in domestic duties, but willing to accept work.]
21. The nature of work acceptable:
[Question 21 was recorded for persons who attended domestic duties (per Question 2 of Block 6) and were willing to accept work if work is made available at their households, per Question 20.]
[] 1 Regular full time
[] 2 Regular part time
[] 3 Occasional full time
[] 4 Occasional part time
Persons who usually attended domestic duties but were willing to accept work
1
Regular full time
2
Regular part time
3
Occasional full time
4
Occasional part time
8
Unknown
9
NIU (not in universe)
This variable indicates the nature of the work that the person considered as acceptable in addition to domestic duties.
Other Person Variables -- PERSON
IPUMS
Type of work acceptable in addition to domestic duties
Type of work acceptable in addition to domestic duties
Type of work acceptable in addition to domestic duties
Type of work acceptable in addition to domestic duties
Type of work acceptable in addition to domestic duties
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
If 'yes' in question 20: [For Questions 21 to 24]
[Normally occupied in domestic duties, but willing to accept work.]
22. Type of work acceptable:
[Question 22 was recorded for persons who attended domestic duties (per Question 2 of Block 6) and were willing to accept work if work is made available at their households per Question 20.]
[] 1 Dairy
[] 2 Poultry
[] 3 Other animal husbandry
[] 4 Spinning and weaving
[] 5 Manufacturing wood and cane products
[] 6 Tailoring
[] 7 Leather goods manufacturing and repairing
[] 9 Other (Specify) _____
Persons who usually attended domestic duties in the past 365 days but were willing to accept work
NIU (not in universe)
1
Dairy
2
Poultry
3
Other animal husbandry
4
Spinning and weaving
5
Manufacturing wood and cane products
6
Tailoring
7
Leather goods manufacturing and repair
9
Other
This variable indicates the industry of the work that the person considered as acceptable in addition to domestic duties.
Other Person Variables -- PERSON
IPUMS
Skill/experience for additional work
Skill/experience for additional work
Skill/experience for additional work
Skill/experience for additional work
Skill/experience for additional work
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
If 'yes' in question 20: [For Questions 21 to 24]
[Normally occupied in domestic duties, but willing to accept work.]
23. Do you have any skill/experience to undertake that work?
[Question 23 was recorded for persons who attended domestic duties, per Question 2 of Block 6, were willing to accept work if made available at their households per question 20, and selected a particular type of work they would be willing to accept in question 22.]
[] 1 Yes
[] 2 No
Persons who usually attended domestic duties in the past 365 days but were willing to accept work
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person possessed any skill or experience to undertake the additional work.
Other Person Variables -- PERSON
IPUMS
Assistance required for additional work
Assistance required for additional work
Assistance required for additional work
Assistance required for additional work
Assistance required for additional work
[9] Follow-up questions for persons having usual activity status codes 92 and 93
[Questions 1-24 were asked of persons who engaged in domestic duties, per Question 2 in Section 6.]
If 'yes' in question 20: [For Questions 21 to 24]
[Normally occupied in domestic duties, but willing to accept work.]
24. What assistance do you require to undertake that work?
[Question 24 was recorded for persons who attended domestic duties, per Question 2 of Block 6, and were willing to accept work if made available at their households per Question 20.]
[] 1 No assistance
[] 2 Initial finance on easy terms
[] 3 Working finance facilities
[] 4 Easy availability of raw materials
[] 5 Assured market
[] 6 Training
[] 7 Accommodation
[] 9 Others
Persons who usually attended domestic duties in the past 365 days but were willing to accept work
NIU (not in universe)
1
No assistance
2
Initial finance on easy terms
3
Working finance facilities
4
Easy availability of raw materials
5
Assured market
6
Training
7
Accommodations
9
Others
This variable indicates whether the person required any assistance to undertake the additional work.
Other Person Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
6. Age (in years): _____
All persons
Less than 1 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
98
99
99+
999
Unknown
This variable indicates the person's age.
Demographic Variables -- PERSON
IPUMS
Total earnings
Total earnings
Total earnings
Total earnings
Total earnings
Wage and salary earnings (received or receivable) for the work done during the week (Rs. 0.00) [For questions 14-16]
14. _____ Cash
15. _____ Kind
16. _____ Total
All persons
This variable indicates the person's total earnings.
IN83A472 is a 7-digit numeric variable with 2 implied decimals.
9999998 = Unknown.
Income Variables -- PERSON
IPUMS
Migration from last usual residence
Migration from last usual residence
Migration from last usual residence
Migration from last usual residence
Migration from last usual residence
19. Whether place of enumeration different from last usual residence:
[] 1 Yes
[] 2 No [skip to Section 5]
All persons
1
2
9
This variable indicates whether the person's place of enumeration was different from his or her last usual residence.
Work Variables -- PERSON
IPUMS
Duration of stay at enumeration place
Duration of stay at enumeration place
Duration of stay at enumeration place
Duration of stay at enumeration place
Duration of stay at enumeration place
20. Duration of stay at the place of enumeration:
[Asked of persons whose place of enumeration was different from their last usual residence per question 19 above.]
[] 1 Less than 1 year
[] 2 1-5 years
[] 3 Above 5 years
Persons whose place of enumeration was different from their place of birth
1
2
3
8
9
Less than 1 year
This variable indicates the person's duration of stay at the place of enumeration.
Migration Variables -- PERSON
IPUMS
Duration of stay since leaving the last usual residence
Duration of stay since leaving the last usual residence
Duration of stay since leaving the last usual residence
Duration of stay since leaving the last usual residence
Duration of stay since leaving the last usual residence
[4.2] Migration particulars of persons with code 1 in column 19 of block 4.1
[Questions 1-15 were recorded for persons whose last usual residences were different from the enumeration place, per Question 19, Block 4.1.]
2. _____ Period since leaving the last usual residence (in years)
Persons whose place of enumeration was different from their place of birth
Above 5 years
1
Unknown
2
"
3
"
4
"
5
"
6
"
7
"
8
"
9
"
10
NIU (not in universe)
11
12
Less than 1 year
13
1
14
2
15
3
16
4
17
5
18
6
19
7
20
8
21
9
22
10
23
11
24
12
25
13
26
14
27
15
28
16
29
17
30
18
31
19
32
20
33
21
34
22
35
23
36
24
37
25
38
26
39
27
40
28
41
29
42
30
43
31
44
32
45
33
46
34
47
35
48
36
49
37
50
38
51
39
52
40
53
41
54
42
55
43
56
44
57
45
58
46
59
47
60
48
61
49
62
50
63
51
64
52
65
53
66
54
67
55
68
56
69
57
70
58
71
59
72
60
73
61
74
62
75
63
76
64
77
65
78
66
79
67
80
68
81
69
82
70
83
71
84
72
85
73
86
74
87
75
88
76
89
77
90
78
91
79
92
80
93
81
94
82
95
83
96
84
97
85
98
86
99
87
998
88
999
89
This variable indicates the number of years that have elapsed since the person left his or her last usual residence.
Migration Variables -- PERSON
IPUMS
Type of residence (before migration)
Type of residence (before migration)
Type of residence (before migration)
Type of residence (before migration)
Type of residence (before migration)
[4.2] Migration particulars of persons with code 1 in column 19 of block 4.1
[Questions 1-15 were recorded for persons whose last usual residences were different from the enumeration place, per Question 19, Block 4.1.]
Particulars of last usual residence [Questions 3 to 7]
3. Type:
[] 1 Rural areas of the same district
[] 2 Urban areas of the same district
[] 3 Rural areas of other districts of the same state
[] 4 Urban areas of other districts of the same state
[] 5 Rural areas of other states
[] 6 Urban areas of other states
[] 7 Other countries
Persons whose place of enumeration was different from their place of birth
1
91
2
92
3
93
4
94
5
95
6
96
7
97
8
98
9
99+
This variable indicates the type of the person's last usual residence before migration.
Migration Variables -- PERSON
IPUMS
State of last usual residence (before migration)
State of last usual residence (before migration)
State of last usual residence (before migration)
State of last usual residence (before migration)
State of last usual residence (before migration)
[4.2] Migration particulars of persons with code 1 in column 19 of block 4.1
[Questions 1-15 were recorded for persons whose last usual residences were different from the enumeration place, per Question 19, Block 4.1.]
Particulars of last usual residence [Questions 3 to 7]
State:
4. _____ Name
5. _____ Code
Persons whose place of enumeration was different from their place of birth
2
NIU (not in universe)
3
4
Rural areas of the same district
5
Urban areas of the same district
6
Rural areas of other districts of the same state
7
Urban areas of other districts of the same state
8
Rural areas of other states
9
Urban areas of other states
10
Other countries
11
Unknown
12
NIU (not in universe)
13
14
Andhra Pradesh
15
Assam
16
Bihar
17
Gujarat
18
Haryana
19
Himachal Pradesh
20
Jammu and Kashmir
21
Karnataka
22
Kerala
23
Madhya Pradesh
24
Maharashtra
25
Manipur
26
Meghalaya
27
Nagaland
28
Orissa
29
Punjab
30
Rajasthan
31
Sikkim
32
Tamil Nadu
98
Tripura
99
Arunachal Pradesh
This variable indicates the state of the person's last usual residence before migration.
Migration Variables -- PERSON
IPUMS
Age at the time of migration
Age at the time of migration
Age at the time of migration
Age at the time of migration
Age at the time of migration
[4.2] Migration particulars of persons with code 1 in column 19 of block 4.1
[Questions 1-15 were recorded for persons whose last usual residences were different from the enumeration place, per Question 19, Block 4.1.]
At time of migration [For questions 8 to 14]
8. _____ Age (in years)
Persons whose place of enumeration was different from their place of birth
"
1
"
2
"
3
"
4
"
5
"
6
"
7
"
8
"
9
"
10
NIU (not in universe)
11
12
Less than 1 year
13
1
14
2
15
3
16
4
17
5
18
6
19
7
20
8
21
9
22
10
23
11
24
12
25
13
26
14
27
15
28
16
29
17
30
18
31
19
32
20
33
21
34
22
35
23
36
24
37
25
38
26
39
27
40
28
41
29
42
30
43
31
44
32
45
33
46
34
47
35
48
36
49
37
50
38
51
39
52
40
53
41
54
42
55
43
56
44
57
45
58
46
59
47
60
48
61
49
62
50
63
51
64
52
65
53
66
54
67
55
68
56
69
57
70
58
71
59
72
60
73
61
74
62
75
63
76
64
77
65
78
66
79
67
80
68
81
69
82
70
83
71
84
72
85
73
86
74
87
75
88
76
89
77
90
78
91
79
92
80
93
81
96
82
99
83
998
84
999
86
This variable indicates the person's age at the time of migration.
Migration Variables -- PERSON
IPUMS
Reason for leaving the last usual residence
Reason for leaving the last usual residence
Reason for leaving the last usual residence
Reason for leaving the last usual residence
Reason for leaving the last usual residence
[4.2] Migration particulars of persons with code 1 in column 19 of block 4.1
[Questions 1-15 were recorded for persons whose last usual residences were different from the enumeration place, per Question 19, Block 4.1.]
15. Reason for leaving the last usual residence:
[] 1 In search of employment
[] 2 In search of better employment (for persons who were employed at the place of origin prior to migration)
[] 3 Under transfer on service/business contract
[] 4 For pursuing studies
[] 5 On marriage
[] 6 Due to migration of parent(s)/earning member(s) of the family
[] 7 For political change/lack of security or social adjustments
[] 8 Due to natural calamity
[] 9 Due to other reasons
Persons whose place of enumeration was different from their place of birth
1
"
2
"
3
"
4
"
5
"
6
"
7
"
8
"
9
"
98
"
99
This variable indicates the person's reason for leaving his or her last usual residence.
Migration Variables -- PERSON
IPUMS
Whetherstayed temporarily for work at different places
Whetherstayed temporarily for work at different places
Whetherstayed temporarily for work at different places
Whetherstayed temporarily for work at different places
Whetherstayed temporarily for work at different places
12. Whether stayed temporarily for work for a continuous period of 4 weeks or more at a different place during the last 365 days:
[] 1 Yes
[] 2 No
All persons
1
"
2
"
9
"
This variable indicates whether the person stayed temporarily for work for a continuous period of 4 weeks or more at different places.
Other Person Variables -- PERSON
IPUMS
Reason for temporary work away from home
Reason for temporary work away from home
Reason for temporary work away from home
Reason for temporary work away from home
Reason for temporary work away from home
If yes in column 12 [Answer questions 13-23]
13. Reason:
[Question 13 was asked of persons who stayed temporarily for work for a continuous period of 4 weeks or more at a different place during the last 365 days, per Question 12.]
[] 1 Non-availability of work at the place of enumeration
[] 2 For better employment
[] 3 Required by nature of work
Persons who stayed temporarily for work
1
"
2
"
3
"
8
"
9
"
This variable indicates the reason that the person stayed temporarily away from home for work.
Other Person Variables -- PERSON
IPUMS
Total period of temporary work away from home
Total period of temporary work away from home
Total period of temporary work away from home
Total period of temporary work away from home
Total period of temporary work away from home
If yes in column 12 [Answer questions 13-23]
[Question 14 and 15 were asked of persons who stayed temporarily for work for a continuous period of 4 weeks or more at a different place during the last 365 days, per Question 12.]
14. _____ Total period (in weeks)
15. _____ Number of places stayed at
Persons who stayed temporarily for work
NIU (not in universe)
1
2
Yes
3
No
4
Unknown
5
6
Non-availability of work at in place of enumeration
7
For better employment
8
Required by the nature of work
9
Unknown
10
NIU (not in universe)
11
12
Less than a week
13
1
14
2
15
3
16
4
17
5
18
6
19
7
20
8
21
9
22
10
23
11
24
12
25
13
26
14
27
15
28
16
29
17
30
18
31
19
32
20
33
21
34
22
35
23
36
24
37
25
38
26
39
27
40
28
41
29
42
30
43
31
44
32
45
33
47
34
48
35
49
36
50
37
51
38
52
39
56
40
60
41
61
42
65
43
69
44
70
45
72
47
74
48
80
49
81
50
86
51
91
52
96
56
97
60
98
61
99
65
999
81
This variable indicates the total number of weeks that the person spent temporarily away from home for work.
Other Person Variables -- PERSON
IPUMS
Places of the major part of temporary work away from home
Places of the major part of temporary work away from home
Places of the major part of temporary work away from home
Places of the major part of temporary work away from home
Places of the major part of temporary work away from home
If yes in column 12 [Answer questions 13-23]
Place where the major part of the period was spent: [Questions 19 to 23]
19. Type:
[Question 19 was asked of persons who stayed temporarily for work for a continuous period of 4 weeks or more at a different place during the last 365 days, per Question 12.]
[] 1 Rural areas of the same district
[] 2 Urban areas of the same district
[] 3 Rural areas of other districts of the same state
[] 4 Urban areas of other districts of the same state
[] 5 Rural areas of other states
[] 6 Urban areas of other states
[] 7 Other countries
Persons who stayed temporarily for work
1
91
2
96
3
97
4
98+
5
Unknown
6
"
7
"
8
"
9
"
This variable indicates the type of the place where the person spent the most time when he or she stayed temporarily away from home for work (after migration).
Other Person Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
PERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Person Variables -- PERSON
IPUMS
Years residing in current locality
Years residing in current locality
Years residing in current locality
Years residing in current locality
Years residing in current locality
Less than 1 year
1
1 year (or 1 year or less)
2
2 years
3
3 years
4
4 years
5
5 years
6
6 years
7
7 years
8
8 years
9
9 years
10
10 years
11
11 years
12
12 years
13
13 years
14
14 years
15
15 years
16
16 years
17
17 years
18
18 years
19
19 years
20
20 years
21
21 years
22
22 years
23
23 years
24
24 years
25
25 years
26
26 years
27
27 years
28
28 years
29
29 years
30
30 years
31
31 years
32
32 years
33
33 years
34
34 years
35
35 years
36
36 years
37
37 years
38
38 years
39
39 years
40
40 years
41
41 years
42
42 years
43
43 years
44
44 years
45
45 years
46
46 years
47
47 years
48
48 years
49
49 years
50
50 years
51
51 years
52
52 years
53
53 years
54
54 years
55
55 years
56
56 years
57
57 years
58
58 years
59
59 years
60
60 years
61
61 years
62
62 years
63
63 years
64
64 years
65
65 years
66
66 years
67
67 years
68
68 years
69
69 years
70
70 years
71
71 years
72
72 years
73
73 years
74
74 years
75
75 years
76
76 years
77
77 years
78
78 years
79
79 years
80
80 years
81
81 years
82
82 years
83
83 years
84
84 years
85
85 years
86
86 years
87
87 years
88
88 years
89
89 years
90
90 years
91
91 years
92
92 years
93
93 years
94
94 years
95
95+
96
Less than 5 years
97
More than 5 years
98
Unknown
99
NIU (not in universe)
MIGYRS1 indicates how many years the person has resided in their current locality of residence.
Migration Variables -- PERSON
IPUMS
Years of schooling
Years of schooling
Years of schooling
Years of schooling
Years of schooling
None or pre-school
1
1 year
2
2 years
3
3 years
4
4 years
5
5 years
6
6 years
7
7 years
8
8 years
9
9 years
10
10 years
11
11 years
12
12 years
13
13 years
14
14 years
15
15 years
16
16 years
17
17 years
18
18 years or more
90
Not specified
91
Some primary
92
Some technical after primary
93
Some secondary
94
Some tertiary
95
Adult literacy
96
Special education
97
Response suppressed
98
Unknown/missing
99
NIU (not in universe)
YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2.
Users should pay close attention to the top-codes in each sample, as discussed in the comparability section.
Education Variables -- PERSON
IPUMS
Reason for migration
Reason for migration
Reason for migration
Reason for migration
Reason for migration
NIU (not in universe)
10
Work
11
Seeking work
12
Job relocation
13
Job assignment
14
Opportunity
15
Proximity to work
19
Other work
20
Family move
21
Follow household head
22
Follow spouse
23
Follow relative
30
Study
31
End of education
40
Marriage, divorce, widowhood
41
Marriage or union
42
Divorce or widowhood
50
Insecurity, disaster, or violence
51
War
52
Violence or insecurity
53
Social or political problems, including security
54
Natural disaster
57
Natural disaster or insecurity
58
Environmental/climatic
60
Other reason
61
Health
62
Repatriation
63
Retirement
64
House or flat acquisition
65
Housing problems
66
Visiting
67
Ordination
68
Military or institutional housing
69
Other reason, not elsewhere classified
99
Not specified
MIGCAUSE indicates the reason why the person moved from their previous place of residence.
Migration Variables -- PERSON
IPUMS
Migration status, previous residence
Migration status, previous residence
Migration status, previous residence
Migration status, previous residence
Migration status, previous residence
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
98
Response suppressed
99
Not reported/missing
MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries.
Migration Variables -- PERSON
IPUMS
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
NIU (not in universe)
1
Less than primary completed
2
Primary completed
3
Secondary completed
4
University completed
9
Unknown
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
Education Variables -- PERSON
IPUMS
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
NIU (not in universe)
100
Less than primary completed (n.s.)
110
No schooling
120
Some primary completed
130
Primary (4 yrs) completed
211
Primary (5 yrs) completed
212
Primary (6 yrs) completed
221
Lower secondary general completed
222
Lower secondary technical completed
311
Secondary, general track completed
312
Some college completed
320
Secondary or post-secondary technical completed
321
Secondary, technical track completed
322
Post-secondary technical education
400
University completed
999
Unknown/missing
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
Education Variables -- PERSON
IPUMS
Religion [general version]
Religion [general version]
Religion [general version]
Religion [general version]
Religion [general version]
NIU (not in universe)
1
No religion
2
Buddhist
3
Hindu
4
Jewish
5
Muslim
6
Christian
7
Other
9
Unknown
RELIGION indicates the person's religion, including "none."
Ethnicity and Language Variables -- PERSON
IPUMS
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
NIU (not in universe)
1000
No religion
1001
Atheist
1002
Without religion
2000
Buddhist
3000
Hindu
4000
Jewish
5000
Muslim
5001
Khadrya
5002
Layenne
5003
Mouride
5004
Tidjane
5005
Ahmadis
5006
Sunni
5007
Shiek
5008
Other Muslim
6000
Christian
6001
Catholic (Roman or unspecified)
6002
Orthodox
6003
Protestant
6004
Evangelical protestant
6005
Pentacostal
6006
Adventist / Seventh-day adventist
6007
Anglican
6008
Assembly of God
6009
Baptist
6010
Church of the Nazarene
6011
Congregational
6012
Dutch Reformed
6013
Episcopalian
6014
Jehovah's Witnesses
6015
Latter Day Saints (Mormon)
6016
Lutheran
6017
Mennonite
6018
Methodist
6019
New Apostolic
6020
Presbyterian
6021
Zion Christian
6100
Other Christian, Austria
6101
Old Catholic
6102
Protestant, Augsburg confession
6103
Protestant, Westminster confession
6104
Protestant, Helvetic confession
6105
Greek Oriental
6106
Armenian Apostolic
6107
Other Protestant
6108
Christian Community for renewal
6109
Christian Community, not specified
6110
Other Christian, Brazil
6111
Christian Congregation of Brazil
6112
Brazilian Catholic Apostolic
6113
Brazil for Christ
6114
Foursquare Gospel
6115
Universal of the Kingdom of God
6116
House of the Blessing
6117
House of Prayer
6118
God is Love
6119
Maranata
6120
Other Christian, Brazil 1991
6121
Undetermined Protestant
6124
Other traditional Protestant
6125
Neo-Christian
6126
Other Neo-Christian
6127
Undetermined Christian
6128
Other Christian, Brazil 2000
6129
Other Catholic
6130
Renewed Evangelical Protestant without institutional ties
6131
Pentecostal Evangelical without institutional ties
6132
New Life Evangelical Protestant Pentecostal
6133
Evangelical Protestant Biblical Revival Pentecostal
6134
Chain Of Prayer Pentecostal
6135
Undetermined Evangelical Protestant
6136
Religion Of God
6137
Christian without institutional ties
6138
Other Christian, Canada
6139
Other Catholic
6140
United Church
6141
Protestant, not specified
6142
Other Protestant
6143
Other Christian, Germany
6144
Oriental Christian
6145
Other Christian, Ghana
6146
Other Christian, Iran
6147
Assyrian or Chaldean
6148
Armenian
6149
Other Christians
6150
Other Christian, Indonesia
6151
Other Christian
6152
Protestant/Other Christian
6153
Other Christian, Ireland
6154
Quaker
6155
Other Christian, Jamaica
6156
Brethren
6157
Church of God
6158
Church of God of Prophecy
6159
Other Church of God
6160
Moravian
6161
United Church
6162
Salvation Army
6163
New Testament
6164
Disciples of Christ
6165
Other Christian, Mexico
6166
Anabaptist
6167
Calvinist
6168
Cuaquera
6169
Disciples of Christ
6170
Christian Friendship Church
6171
Prayer House Church
6172
Faith Center
6173
Agape Force Church
6174
Alpha and Omega Church
6175
Living Water Church
6176
Apostolic Church
6177
Church of God
6178
Church of God of Prophecy
6179
Complete Gospel Church
6180
Evangelical Siblings Church
6181
Upper Room Church
6182
Pentacostal Indigenous Church
6183
Angular Stone Voice Church
6184
Pentacostal Missionary
6185
Christian
6186
Christian Societies
6187
Evangelical
6188
Evangelical Societies
6189
New Testament Evangelical
6190
Pentecostal
6191
Pentecostal Societies
6192
Independent Pentecostal
6193
Evangelical Christian Societies
6194
Pentecostal Christian Societies
6195
Evangelical Pentecostal Societies
6196
Evangelical Pentecostal Christian Societies
6197
Soldiers of Christ's Cross Church
6198
Tabernacle
6199
Traditionalists
6200
Other Evangelical Pentecostal Societies
6201
Pentecostal not clearly specified
6202
Living God, Light of the World
6203
Christian and Missionary Alliance
6204
Non-Pentecostal Apostolic
6205
Evangelical Associations
6206
Biblical
6207
Confraternities
6208
Christ Church
6209
Peace Grace and Misericordia Church
6210
Open Bible Church
6211
Holiness Church
6212
Evangelical Salem Church
6213
Beautiful Woman Dressed in the Sun
6214
Messianic Church
6215
Evangelical Ministers
6216
Evangelical Missionaries
6217
Evangelical Movements
6218
New Jerusalem
6219
World Vision Church
6220
Evangelical not clearly specified
6221
Biblical - non-evangelicals
6222
Other Christians not clearly specified
6223
Assumptionist
6224
Carmelite
6225
Claretian
6226
Conception Franciscan
6227
Maronite Diocese of Mexico
6228
Dominican
6229
Servants of Mary Immaculate
6230
Franciscan
6231
Guadalupan
6232
Daughters of the Immaculate Conception
6233
Jesuit
6234
Legionaries of Christ
6235
Divine Word Missionary
6236
Pauline
6237
Sacred Heart
6238
Saint Joseph of Tarbes
6239
Servant of the Lord and the Virgin
6240
Servant of Jesus
6241
Greek Catholic Church
6242
Reformed Roman Catholic Church
6243
Mexican National Catholic Church
6244
Tridentine Latin Rite Catholic Church
6245
Priestly Society Trento
6246
Mexican Catholic Union of Trento
6247
Anabaptist / Memnonite
6248
Anglican / Episcopal
6249
House of Prayer
6250
Center of Faith, Hope and Love of the Missionary Revival Crusade
6251
Center of Faith, Hope and Love Agape Force
6252
Salvation Army
6253
Independent Pentecostal Fellowship
6254
Upper Chamber Church
6255
Faith Apostolic Church of Jesus Christ
6256
Spiritual Christian Church
6257
Pentecostal Evangelical Christian Church
6258
Interdenominational Christian Church
6259
Church of God Full Gospel in Mexico
6260
Church of Jesus Christ on the Rock
6261
Christ Evangelical Pentecostal Church Rock of my Salvation
6262
Mexican Church of Christ's Gospel Pentecost
6263
United Pentecostal Church of Mexico
6264
Universal Church of the Kingdom of God
6265
Only Christ Savior Christian Church
6266
Independent Evangelical Pentecostal Movement
6267
Prince of Peace
6268
National Union of Evangelical Christian Churches (UNICE)
6269
Union of Independent Evangelical Churches
6270
Other associations Pentecostal
6271
Church of the Living God, Pillar and Support of Truth, the Light of the World
6272
Bible Church
6273
Interdenominational Christian Church in Mexico
6274
Church of Christ
6275
Honey Church of Christ
6276
Independent Evangelical Church in Mexico
6277
Renewed Church of Jesus Christ and the Apostles of Divine Love
6278
Other Christian and Evangelical associations without Pentecostal support
6279
Faith Christian Church
6280
Traditional Apostolic Catholic Holy Church Mexico-USA
6281
Mexican Apostolic Catholic Church
6282
Elias
6283
Spiritualistic
6284
Spiritualist
6285
Marian Trinitarian Spirituality
6286
Spirituality of the Third Age
6287
Christian Spiritual
6288
Judiciary Society Reign of Leonardo Alcalá Leos
6289
Spirituality for the Divine Master and the purity of Mary
6290
Light and Hope
6291
Holy Spirit, Purity, Love and Light
6292
Christian Science
6293
Other Christian, Netherlands
6294
Reformed Churches in The Netherlands
6295
Other Reformed
6296
Other Christian, Nicaragua
6297
Moravian
6298
Other Christian, Philippines
6299
Aglipay
6300
Bible Christian Committees
6301
Born-again Christian
6302
Bread of Life Ministries
6303
Charismatic Full Gospel Ministries
6304
Christ the Living Stone Fellowship
6305
Christian and Missionary Alliance
6306
Christians Missions
6307
Church of Christ
6308
Evangelical Christian Outreach Foundation
6309
Evangelical Free Church
6310
Filipino Assemblies of the First Born Inc.
6311
Foursquare Gospel
6312
Free Believers in Christ Fellowship
6313
Free Mission in the Philippines Inc.
6314
God World Mission
6315
Good News Christian Churches
6316
IEMELIF Reform Movement
6317
Iglesia Evangelista Methodista en Las
6318
Iglesia ni Cristo
6319
Jesus Christ Saves Global Outreach
6320
Jesus is Lord Church
6321
Jesus Reigns Ministries
6322
Love of Christ International Ministries
6323
Other evangelical
6324
Other Evangelical Church
6325
Other Protestants
6326
Philippine Evangelical Mission
6327
Philippine Grace Gospel Fellowship
6328
Philippines Benevolent Missionaries
6329
Potter's House Christian Center
6330
Salvation Army Philippines
6331
Take the Nation for Jesus Global Ministries (Corpus Christi)
6332
UNIDA Evangelical Church
6333
United Church of Christ in the Philippines
6334
United Evangelical Church of the Philippines (Chinese)
6335
Victory Chapel Christian Fellowship
6336
Wesleyan Church
6337
World Missionary Evangelism
6338
Worldwide Church of God
6339
Zion Christian Community Church
6340
Other Christian, Portugal
6341
Other Christian, Romania
6342
Greek Catholic
6343
Reformed Church
6344
Evangelic of Augustan Confession
6345
Evangelic Synodo-Presbyterian
6346
Christian of Old Rite
6347
Christian by Gospel
6348
Evangelic
6349
Other Christian, Rwanda 2002
6350
Other Christian, Sierra Leone
6351
Other Christian, South Africa
6352
Reformed
6353
International Fellowship of Christian Churches
6354
Apostolic Faith Mission of SA
6355
Other Apostolic Churches
6356
Pinkster Protestant Church
6357
Afrikaanse Protestant Church
6358
Full Gospel Church of God in Southern Africa
6359
Pentecostal Churches
6360
Salvation Army
6361
Bandla Lama Nazaretha
6362
African Methodist Episcopal Church
6363
St John's Apostolic Church
6364
International Pentecost Church
6365
Ethiopian type churches
6366
Ethnic churches
6367
Other African Independent Churches
6368
Other Christian Churches
6369
Other Catholic Churches
6370
Other Pentecostal Churches
6371
Other Orthodox Churches
6372
Other African Apostolic churches
6373
Other Assemblies
6374
Christian Scientist
6375
Christian Centres
6376
Other Evangelical Churches
6377
Other Charismatic Churches
6378
Other Christian, Uganda
6379
Other Christian
6380
Other Christian, Saint Lucia
6381
Church of God
6382
Other Christian, Senegal
6383
Other Christian
6384
Other Christian, Switzerland
6385
Other protestant churches and communities
6386
Christ-Catholic church
6387
Other Christian communities
6388
Other Christian non-Catholic, Uruguay
6389
Other Christian, Fiji
6390
Christian undefined
6391
Church of England
6392
Gospel Hall and Brethern
6393
CMF (Every Home)
6394
Salvation Army
6395
All Nations Christian Fellowship
6396
Apostles Gospel Outreach Fellowship
6397
Christian Outreach Centre
6398
Other Christian, Brazil 2010
6399
Salvation Army
6400
Other Christian, Cameroon
6401
Other Christian, Armenia
6402
Armenia apostolic
6403
Nestorian
6404
Molokai
6406
Other Christian, Paraguay
6408
Christian Community
6409
Free Brothers
6410
Church of God
6411
Church of God of Prophecy
6412
New testament
6414
God is love
6415
Universal Church of the Kingdom of God
6416
People of God
6417
Family worship center
6418
Pseudo-Christian groups
6419
Other Christian, Paraguay
7000
Other
7001
Bahai
7002
Sikh
7003
Other, Austria
7004
Unification Church, Austria
7005
Other, Brazil
7006
Spiritist
7007
Kardecist Spiritist
7008
Afro Spiritist
7009
Mediumistic Spiritist
7010
Umbandist Mediumistic
7011
Candomblecist Mediumistic
7012
Other Afro-Brazilian
7013
Oriental, Brazil
7014
New Oriental
7015
Oriental Seicho No-le
7016
Other Oriental, Brazil
7017
Esoteric, Brazil
7018
Indigenous, Brazil
7019
Other minority groups, Brazil
7020
Other, Canada
7021
Eastern religions, Canada
7022
Other, Chile
7023
Theosophism
7024
Shintoism
7025
Other, Germany
7026
Other, Germany
7027
Other, Ghana
7028
Traditional, Ghana
7029
Other, Guinea
7030
Animist
7031
Other, Guinea
7032
Other, India
7033
Jainism
7034
Zoroastrianism
7035
Other, India
7036
Other, Indonesia
7037
Confucianism
7038
Other, Indonesia
7039
Other, Iran
7040
Zoroastrian
7041
Other, Iran
7042
Other, Jamaica
7043
Muslim/Hindu
7044
Rastafarian
7045
Other, Israel
7046
Druse
7047
Other, Israel
7048
Other, Malaysia
7049
Confucianism/Taoism
7050
Tribal/Folk religion, Malaysia
7051
Other, Mexico
7052
Brahmanism
7053
Hare Krishna
7054
Shintoism
7055
Taoism
7056
Mexican Movements
7057
Ananda Marga
7058
Church of Scientology
7059
Masons
7060
Raelian Movement
7061
New Age Movement
7062
Neoisraelites
7063
Occultists
7064
Palmar of Troya
7065
Rose Cross
7066
Theosophism
7067
Spiritualist Special Keys
7068
Onkaranada Center
7069
Confucianism
7070
Shia
7071
Universal Great Brotherhood
7072
Esoteric Science
7073
Gnosticism
7074
Metaphysics
7075
Wicca
7076
Shamanism
7077
The Custom
7078
Mexicayotl
7079
Restorative Confederate Movement of Anahuac Culture
7080
African Origin
7081
Rastafarians
7082
Indigenous Religions
7083
Growing in Grace
7084
Eckankar
7085
Transcendental Meditation
7086
Mission Branch
7087
Children of God
7088
Sri Sathya Sai Baba
7089
Other new religious movements
7090
Other, Philippines
7091
Door of Faith
7092
Faith Tabernacle Church (Living Rock Ministries)
7093
International One Way Outreach
7094
Miracle Life Fellowship International
7095
Miracle Revival Church of the Philippines
7096
Philippine Good News Ministries
7097
Philippine Missionary fellowship
7098
Things to Come
7099
Way of Salvation
7100
Word of the World
7101
Tribal Religions, Philippines
7102
Other, Romania
7103
Unitarian
7104
Armenian
7105
Mosaic
7106
Other, Romania
7107
Other, Rwanda
7108
Traditional religion, Rwanda
7109
Other, Rwanda
7110
Other, Sierra Leone
7111
Traditional religion, Sierra Leone
7112
Other, South Africa
7113
African traditional belief
7114
Taoist
7115
Confucian
7116
New Age
7117
Other non-Christian, S. Africa
7118
Other, Uganda
7119
Traditional religion
7120
Other non-Christian, Uganda
7121
Other, United Kindom
7122
Other, Vietnam
7123
Hoa Hoa
7124
Cao Dai
7125
Other, Nepal
7126
Kirat
7127
Jain
7128
Garaute
7129
Tap jura
7130
Other, Pakistan
7131
Ahmadi
7132
Parsi
7133
Scheduled caste
7134
Other, Saint Lucia
7135
Rastafarian
7136
Other, Thailand
7137
Confucian
7138
Other, Uruguay
7139
Umbanda/other Afro-American
7140
Other, Uruguay
7141
Other, Burkina Faso
7142
Animist
7143
Other, Fiji
7144
Confucian
7145
Kabir Panthi
7146
Satya Sai Baba
7147
Bahai
7148
Other non-Christian, Fiji
7149
Other, Haiti
7150
Voodoo
7151
Other, Cameroon
7152
Animist
7153
Other, Liberia
7154
Traditional
7155
Other, Mali
7156
Animist
7157
Other, Nigeria
7158
Traditional
7159
Other, Armenia
7160
Pagan
7161
Shar-fadinian
7162
Other, Ethiopia
7163
Traditional
7164
Other, Ethiopia
7165
Other, Paraguay
7166
Philosophical revelations
7167
Indigenous religion
7168
Reyukai
7169
Other, Paraguay
7900
Other, not elsewhere classified
9999
Unknown
RELIGION indicates the person's religion, including "none."
Ethnicity and Language Variables -- PERSON
IPUMS
Year [person version]
Year [person version]
Year [person version]
Year [person version]
Year [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 4-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 9-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 10-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS
Country [person version]
Country [person version]
Country [person version]
Country [person version]
Country [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 3-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 1-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS