DDI_THA_1990_PHC_v01_M_v03_A_IPUMS
Minnesota Population Center
2016-04-25
NADA
- v6.4 April 2016
Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.
The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.
Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)
The Population and Housing Census of Thailand 1990 - IPUMS Subset
PHC 1990 (IPUMS Harmonized Subset)
THA_1990_PHC_v01_M_v03_A_IPUMS
National Statistical Office
Minnesota Population Center
Minnesota Population Center
(c) Copyright 1990, National Statistical Office and Minnesota Population Center
NADA
National Statistical Office
Population and Housing Census [hh/popcen]
Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.
In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming.
In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.
In this version, geographic variables are significantly revised. IPUMS has developed subnational geographies for each country that are consistent over time and have associated GIS shape files. To distinguish the harmonized and unharmonized geographic variables, which will ultimately be available at the first and second administrative levels for most countries, a new, more systematic variable-naming convention have been imposed. The available geographic variables and their old and new names are described <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Further explanation of the new geographic variables and the GIS boundary files is available <a href='https://international.ipums.org/international/geography_gis.shtml'>here</a>.
Technical Household Variables -- HOUSEHOLD
Group Quarters Variables -- HOUSEHOLD
Constructed Household Variables -- HOUSEHOLD
Constructed Family Interrelationship Variables -- PERSON
Demographic Variables -- PERSON
Fertility and Mortality Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Geography: M-Z Variables -- HOUSEHOLD
Household Economic Variables -- HOUSEHOLD
Utilities Variables -- HOUSEHOLD
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Dwelling Characteristics Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Migration Variables -- PERSON
Geography: Global Variables -- HOUSEHOLD
Disability Variables -- PERSON
Other Household Variables -- HOUSEHOLD
Work: Occupation Variables -- PERSON
Work: Industry 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.
Thailand
National coverage
Province
Households
UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
- Special populations: No
UNIT DESCRIPTIONS:
- Dwellings: Buildings or any constructed structures including boat, houseboat, or truck in which a person can live.
- Households: A household refers to one person or many persons who live in the same house or the same constructed structure. They seek for, consume, and utilize all facilities together for their benefit, regardless of whether they are related or not.
- Group quarters: Households that consist of several people living together because of certain rules or regulations indicating that those people must live together or need to stay together for their own benefits. These includes institutions and other collective households.
All Thai nationals residing in Thailand on the census date; foreign civilians who normally reside in Thailand or who temporarily reside in Thailand 3 months or more before the census date; any individual who has normally resided in Thailand but was away for military training, sailing, or temporarily travelling abroad; and Thai civil/military/diplomatic officers and their families who normally have their offices in foreign countries.
Census/enumeration data [cen]
UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
- Special populations: No
UNIT DESCRIPTIONS:
- Dwellings: Buildings or any constructed structures including boat, houseboat, or truck in which a person can live.
- Households: A household refers to one person or many persons who live in the same house or the same constructed structure. They seek for, consume, and utilize all facilities together for their benefit, regardless of whether they are related or not.
- Group quarters: Households that consist of several people living together because of certain rules or regulations indicating that those people must live together or need to stay together for their own benefits. These includes institutions and other collective households.
MICRODATA SOURCE: National Statistical Office
SAMPLE DESIGN: The sample was enumerated with the Long Form questionnaires, and was selected with different sampling fractions from 9 strata. The strata are municipal and non-municipal areas in the four major regions(Central, North, Northeastern, South) with Bangkok as a separate regions. The sample was selected in a two-stage process. In the first stage, enumeration districts (EDs) were selected within each of the 9 strata. For Bangkok and other municipal areas, 40% of all EDs were selected. For non-municipal areas, 20% of EDs were selected. In the second stage, households were selected within EDs with different selection rules for private and collective households. For private households, 25% of households in Bangkok and non-municipal areas were selected, while 5% of households in other municipal areas were selected. For collective households, a 5% sample is selected across all strata.
SAMPLE UNIT: Household
SAMPLE FRACTION: 1%
SAMPLE SIZE (person records): 485,100
Face-to-face [f2f]
The population was enumerated with Form 2. There are two types of Form 2: (i) the Short Form which is used to collect information on 10 population questions and 3 housing questions; and (ii) the Long Form which contains 26 population questions and 16 housing questions. Part 1 of the Long Form identifies the household; Part 2 contains population questions; and Part 3 contains housing questions which are asked only of private households. One-fifth of the households and population in Bangkok and non-municipal areas were enumerated with the long-form while all households and population in the other municipal areas were enumerated with the long-form.
De jure (except for students), CENSUS DAY: April 1, 1990, FIELD WORK PERIOD: April 1990
Direct enumeration via house-to-house visits and personal interviews.
Calculated by the NSO 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:
Thailand, National Statistical Office, The 1990 Population and Housing Census of Thailand
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.
THA1990-H-H
Household records
0
93
THA1990-P-H
Person records
0
96
Record type
Record type
Record type
Record type
Record type
RECTYPE identifies the type of record for the case: household or person.
NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types.
Technical Household Variables -- HOUSEHOLD
IPUMS
Year
Year
Year
Year
Year
1960
1960
1962
1962
1963
1963
1964
1964
1966
1966
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
YEAR gives the year in which the census was taken.
Technical Household Variables -- HOUSEHOLD
IPUMS
Household serial number
Household serial number
Household serial number
Household serial number
Household serial number
SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database.
SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred:
Chile 1970, 1992, 2002
Colombia 1993, 2005
Costa Rica 1984, 2000
Cuba 2002
Dominican Republic 1981, 2002, 2010
Ecuador 1990, 2001
Germany 1971
Hungary 1980, 1990, 2001
Jamaica 1982, 1991, 2001
Malaysia 1970, 1991, 2000
Mexico 1995, 1990, 2000, 2005
Nigeria 2006
Panama 2000
Peru 1993, 2007
Portugal 1981, 1991, 2001
Spain 1991
Uruguay 2011
Venezuela 1990, 2001
Vietnam 1989
In all other samples, the last 3 digits are always zeroes.
SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.
Technical Household Variables -- HOUSEHOLD
IPUMS
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
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.
Technical Household Variables -- HOUSEHOLD
IPUMS
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
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
Household classification
Household classification
Household classification
Household classification
Household classification
Vacant household
1
One-person household
2
Married/cohab couple, no children
3
Married/cohab couple with children
4
Single-parent family
5
Polygamous family
6
Extended family, relatives only
7
Composite household, family and non-relatives
8
Non-family household
9
Unclassified subfamily
10
Other relative or non-relative household
11
Group quarters
99
Unclassifiable
HHTYPE is a constructed variable that describes the composition of households.
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Vacant household
1
1 family
2
2 families
3
3 families
4
4 families
5
5 families
6
6 families
7
7 families
8
8 families
9
9 or more families
NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Head's location in household
Head's location in household
Head's location in household
Head's location in household
Head's location in household
HEADLOC gives the person number of the head of household in samples in which persons are organized into households.
Constructed Household Variables -- HOUSEHOLD
IPUMS
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
Thailand, Region
Thailand, Region
Thailand, Region
Thailand, Region
Thailand, Region
1
Bangkok
2
Central region (exclude Bangkok )
3
Northern region
4
Northeastern region
5
Southern region
REGNTH indicates the region in Thailand in which the household was enumerated. It is the largest-scale geographic identifier available in the Thailand samples. REGNTH is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for Thailand can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Land ownership
Land ownership
Land ownership
Land ownership
Land ownership
NIU (not in universe)
10
Land owned by a resident
11
Owned, fully paid for
12
Owned, still paying
13
Freehold tenure
14
Customary land
20
Land not owned
21
Rented
22
Ceded
23
Mailo land tenure
24
Free, occupied with consent
25
Free, occupied without consent
26
Free, consent not specified
27
Communal
28
Right to build
29
Right to use
30
Other, not specified
99
Unknown
This variable indicates whether the land on which the dwelling was located was owned, either in full or in part, by one of the dwelling's residents.
Conceivably, a resident might own land but not the dwelling on which it resides. Such a case would be classified as NIU (not in universe): only dwellings indicating that a resident owned the dwelling were asked about land ownership.
Household Economic Variables -- HOUSEHOLD
IPUMS
Telephone availability
Telephone availability
Telephone availability
Telephone availability
Telephone availability
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
PHONE indicates the availability of a telephone in the dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Air conditioning
Air conditioning
Air conditioning
Air conditioning
Air conditioning
NIU (not in universe)
10
No air conditioning
20
Yes, air conditioning
21
1 unit or room
22
2 units or rooms
23
3 units or rooms
24
4 units or rooms
25
5 units or rooms
26
6 units or rooms
27
7 units or rooms
28
8 or more units or rooms
29
Central system
99
Unknown
This variable indicates whether the household had air conditioning.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Videocassette recorder
Videocassette recorder
Videocassette recorder
Videocassette recorder
Videocassette recorder
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
VCR indicates whether the household had a videocassette recorder or similar device.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Radio in household
Radio in household
Radio in household
Radio in household
Radio in household
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
RADIO indicates whether the household had a radio.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Television set
Television set
Television set
Television set
Television set
NIU (not in universe)
10
No
20
Yes, color or black-and-white not specified
21
1 television
22
2 televisions
23
3 televisions
24
4 televisions
25
5 televisions
26
6 televisions
27
7 televisions
28
8 televisions
29
9+ televisions
30
Yes, color only
31
1 color tv
32
2 color tvs
33
3+ color tvs
40
Yes, black-and-white only
41
1 black-white tv
42
2 black-white tvs
43
3+ black-white tvs
50
Yes, both color and black-and-white
52
2+ color and black-white tvs
53
3+ color and black-white tvs
54
4+ color and black-white tvs
99
Unknown/missing
TV indicates whether the household had a television.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Clothes washing machine
Clothes washing machine
Clothes washing machine
Clothes washing machine
Clothes washing machine
NIU (not in universe)
1
No
2
Yes
3
Automatic or semi-automatic
4
Wringer or other non-automatic
9
Unknown/missing
WASHER indicates whether the household had a clothes washing machine.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Automobiles available
Automobiles available
Automobiles available
Automobiles available
Automobiles available
No autos
1
1 auto
2
2 autos
3
3 autos
4
4 autos
5
5 autos
6
6+ autos
7
Have auto, number unspecified
8
Unknown
9
NIU (not in universe)
AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Wall or building material
Wall or building material
Wall or building material
Wall or building material
Wall or building material
NIU (not in universe)
100
No walls
200
Cardboard, scrap, and miscellaneous materials
201
Waste, scrap, or discarded material
202
Fabric or discarded material
203
Zinc, fabric, cardboard, tins, and waste material
204
Cardboard sheet
205
Plastic sheeting, cardboard
206
Makeshift, salvaged, or improvised materials
207
Reused materials
300
Wood
310
Rough wood
320
Wood, fibercement or plywood
330
Wood, formica, and other
340
Wood or bamboo
350
Wood or straw
400
Other plant-based materials
401
Plantain leaves and similar material
402
Bamboo or cane
403
Bamboo, sawali, cogon, nipa
404
Straw or bamboo
405
Grass, straw or reed
406
Reed, bamboo, or palm
407
Cane, palm leaves, logs
408
Palm leaves or palm planks
500
Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood)
501
Brick, block, stone, or cement
502
Brick, stone, concrete
503
Brick, stone, or substitutes (dividing panels made of reinforced concrete)
504
Brick, stone, or substitutes (dividing panels made of wood)
505
Brick or tile
506
Brick or stone
507
Brick or cement block
508
Brick with plaster exterior
509
Brick without plaster exterior
510
Burnt or stabilized brick
511
Brick
512
Unburnt brick
513
Unburnt brick with cement
514
Unburnt brick with mud
515
Concrete
516
Landcrete
517
Cement blocks
518
Cement blocks or brick
519
Cement blocks or brick, unfinished
520
Cement and adobe bricks
521
Cement and stone block
522
Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete
523
Concrete, reinforced concrete, blocks, panels
524
Adobe
525
Adobe walls with plaster exterior
526
Adobe walls without plaster exterior
527
Adobe with cement exterior
528
Adobe (tabique, quinche)
529
Wood and earth adobe
530
Wood and cement adobe
531
Mud or adobe
532
Pressed dirt
533
Clay
534
Coated clay/mud with sticks/cane
535
Clay or clay-covered sticks
536
Netted bamboo or cane with mud
537
Bundle of mud, straw, other materials
538
Mud with wood/wattle
539
Pole and mud
540
Mud with cement
541
Unfinished lathe and plaster, stucco, etc.
542
Stone
543
Hand-laid stone
544
Quarried stone
545
Cut stone and concrete
546
Cemented stone
547
Stone with clay
548
Blocks of light material
549
Prefabricated material
550
Asbestos
551
Metal or asbestos sheet
552
Metal or iron sheet
553
Metal or fibercement sheeting
554
Galvanized iron or aluminum
555
Tin
556
Glass
557
Cloth
558
Covintec panels
559
Mixed material
560
Mixed material: part wood; part concrete, brick, or stone
561
Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc.
570
Mainly permanent materials
600
Other material
999
Unknown/missing
This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
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
Water supply
Water supply
Water supply
Water supply
Water supply
NIU (not in universe)
10
Yes, piped water
11
Piped inside dwelling
12
Piped, exclusively to this household
13
Piped, shared with other households
14
Piped outside the dwelling
15
Piped outside dwelling, in building
16
Piped within the building or plot of land
17
Piped outside the building or lot
18
Have access to public piped water
20
No piped water
99
Unknown
WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water.
Utilities Variables -- HOUSEHOLD
IPUMS
Refrigerator
Refrigerator
Refrigerator
Refrigerator
Refrigerator
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
REFRIG indicates whether the household had a refrigerator.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
NIU (not in universe)
10
No kitchen
11
Food is prepared in a non-kitchen room
13
Does not prepare food in the dwelling
20
Yes, have a kitchen
21
Kitchen located inside the dwelling
22
Indoor kitchen, exclusive use
23
Indoor kitchen, shared use
24
Exclusive use of kitchen (indoor/outdoor status not specified)
25
Kitchen shared with another household (indoor/outdoor status not specified)
26
Kitchen located outside the dwelling
27
Outdoor kitchen, exclusive use
28
Outdoor kitchen, shared use
99
Unknown/missing
KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Toilet
Toilet
Toilet
Toilet
Toilet
NIU (not in universe)
10
No toilet
11
No flush toilet
20
Have toilet, type not specified
21
Flush toilet
22
Non-flush, latrine
23
Non-flush, other and unspecified
99
Unknown
TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
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
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
32002
City of Buenos Aires [Province: Argentina]
32006
Buenos Aires province [Province: Argentina]
32010
Catamarca [Province: Argentina]
32014
Córdoba [Province: Argentina]
32018
Corrientes [Province: Argentina]
32022
Chaco [Province: Argentina]
32026
Chubut [Province: Argentina]
32030
Entre RÃos [Province: Argentina]
32034
Formosa [Province: Argentina]
32038
Jujuy [Province: Argentina]
32042
La Pampa [Province: Argentina]
32046
La Rioja [Province: Argentina]
32050
Mendoza [Province: Argentina]
32054
Misiones [Province: Argentina]
32058
Neuquén [Province: Argentina]
32062
RÃo Negro [Province: Argentina]
32066
Salta [Province: Argentina]
32070
San Juan [Province: Argentina]
32074
San Luis [Province: Argentina]
32078
Santa Cruz [Province: Argentina]
32082
Santa Fe [Province: Argentina]
32086
Santiago del Estero [Province: Argentina]
32090
Tucumán [Province: Argentina]
32094
Tierra del Fuego [Province: Argentina]
32099
Unknown [Province: Argentina]
40011
Burgenland [State: Austria]
40012
Niederösterreich [State: Austria]
40013
Wien [State: Austria]
40021
Kärnten [State: Austria]
40022
Steiermark [State: Austria]
40031
Oberösterreich [State: Austria]
40032
Salzburg [State: Austria]
40033
Tirol [State: Austria]
40034
Vorarlberg [State: Austria]
50010
Barisal [Division, Bangladesh]
50020
Chittagong [Division, Bangladesh]
50030
Dhaka [Division, Bangladesh]
50040
Khulna [Division, Bangladesh]
50050
Rajshahi, Rangpur [Division, Bangladesh]
50060
Sylhet [Division, Bangladesh]
51901
Yerevan [Province: Armenia]
51902
Aragatsotn [Province: Armenia]
51903
Ararat [Province: Armenia]
51904
Armavir [Province: Armenia]
51905
Gegharkunik [Province: Armenia]
51906
Lori [Province: Armenia]
51907
Kotayk [Province: Armenia]
51908
Shirak [Province: Armenia]
51909
Syunik [Province: Armenia]
51910
Vayots Dzor [Province: Armenia]
51911
Tavush [Province: Armenia]
68001
Chuquisaca [Department: Bolivia]
68002
La Paz [Department: Bolivia]
68003
Cochabamba [Department: Bolivia]
68004
Oruro [Department: Bolivia]
68005
Potosà [Department: Bolivia]
68006
Tarija [Department: Bolivia]
68007
Santa Cruz [Department: Bolivia]
68008
Beni [Department: Bolivia]
68009
Pando [Department: Bolivia]
76011
Rondonia [State: Brazil]
76012
Acre [State: Brazil]
76013
Amazonas [State: Brazil]
76014
Roraima [State: Brazil]
76015
Pará [State: Brazil]
76016
Amapa [State: Brazil]
76021
Maranhao [State: Brazil]
76022
Piauà [State: Brazil]
76023
Ceará [State: Brazil]
76024
Rio Grande do Norte [State: Brazil]
76025
Paraiba [State: Brazil]
76026
Pernambuco [State: Brazil]
76027
Alagoas [State: Brazil]
76028
Sergipe [State: Brazil]
76029
Bahia [State: Brazil]
76031
Minas Gerais [State: Brazil]
76032
EspÃrito Santo [State: Brazil]
76033
Rio de Janeiro [State: Brazil]
76035
São Paulo [State: Brazil]
76041
Parana [State: Brazil]
76042
Santa Catarina [State: Brazil]
76043
Rio Grande do Sul [State: Brazil]
76051
Mato Grosso, Mato Grosso do Sul [State: Brazil]
76052
Goiás and Tocantins [State: Brazil]
76053
Distrito Federal [State: Brazil]
112001
Brest [Region: Belarus]
112002
Vitebsk [Region: Belarus]
112003
Gomel [Region: Belarus]
112004
Grodno [Region: Belarus]
112006
Minsk [Region: Belarus]
112007
Mogilev [Region: Belarus]
116001
Banteay Meanchey [Province: Cambodia]
116002
Battambang [Province: Cambodia]
116003
Kampong Cham [Province: Cambodia]
116004
Kampong Chhnang [Province: Cambodia]
116005
Kampong Speu [Province: Cambodia]
116006
Kampong Thom [Province: Cambodia]
116007
Kampot [Province: Cambodia]
116008
Kandal [Province: Cambodia]
116009
Koh Kong [Province: Cambodia]
116010
Kratie [Province: Cambodia]
116011
Mondul Kiri [Province: Cambodia]
116012
Phnom Penh [Province: Cambodia]
116013
Preah Vihear [Province: Cambodia]
116014
Prey Veng [Province: Cambodia]
116015
Pursat [Province: Cambodia]
116016
Rotanak Kiri [Province: Cambodia]
116017
Siem Reap and Otdar Meanchey [Province: Cambodia]
116018
Preah Sihanouk [Province: Cambodia]
116019
Stung Treng [Province: Cambodia]
116020
Svay Rieng [Province: Cambodia]
116021
Takeo [Province: Cambodia]
116023
Kep [Province: Cambodia]
116024
Pailin [Province: Cambodia]
120002
Centre, Sud [Province: Cameroon]
120003
Est [Province: Cameroon]
120004
Nord, Adamoua , Extrème Nord [Province: Cameroon]
120005
Littoral [Province: Cameroon]
120007
Nord Ouest [Province: Cameroon]
120008
Ouest [Province: Cameroon]
120010
Sud Ouest [Province: Cameroon]
124010
Newfoundland and Labrador [Province: Canada]
124011
Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada]
124012
Nova Scotia [Province: Canada]
124013
New Brunswick [Province: Canada]
124024
Quebec [Province: Canada]
124035
Ontario [Province: Canada]
124046
Manitoba [Province: Canada]
124047
Saskatchewan [Province: Canada]
124048
Alberta [Province: Canada]
124059
British Columbia [Province: Canada]
152002
Antofagasta and Tarapacá [Region: Chile]
152004
Atacama and Coquimbo [Region: Chile]
152007
Del Maule [Region: Chile]
152008
Del Biobio [Region: Chile]
152009
La AraucanÃa [Region: Chile]
152010
Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile]
152012
Magallanes and La Antártica Chilena [Region: Chile]
152013
Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile]
152099
Unknown [Region: Chile]
156011
Beijing (municipality) [Province: China]
156012
Tianjin (municipality) [Province: China]
156013
Hebei [Province: China]
156014
Shanxi [Province: China]
156015
Inner Mongolia [Province: China]
156021
Liaoning [Province: China]
156022
Jilin [Province: China]
156023
Heilongjiang [Province: China]
156031
Shanghai (municipality) [Province: China]
156032
Jiangsu [Province: China]
156033
Zhejiang [Province: China]
156034
Anhui [Province: China]
156035
Fujian [Province: China]
156036
Jiangxi [Province: China]
156037
Shangdong [Province: China]
156041
Henan [Province: China]
156042
Hubei [Province: China]
156043
Hunan [Province: China]
156044
Guangdong and Hainan [Province: China]
156045
Guangxi [Province: China]
156051
Sichuan [Province: China]
156052
Guizhou [Province: China]
156053
Yunnan [Province: China]
156054
Tibet [Province: China]
156061
Shaanxi [Province: China]
156062
Gansu [Province: China]
156063
Qinghai [Province: China]
156064
Ningxia [Province: China]
156065
Xinjiang [Province: China]
170005
Antioquia [Department: Colombia]
170008
Atlántico [Department: Colombia]
170011
Bogotá [Department: Colombia]
170013
BolÃvar and Sucre [Department: Colombia]
170015
Boyacá and Casanare [Department: Colombia]
170018
Caquetá [Department: Colombia]
170019
Cauca [Department: Colombia]
170023
Córdoba [Department: Colombia]
170025
Cundinamarca [Department: Colombia]
170027
Chocó [Department: Colombia]
170041
Huila [Department: Colombia]
170044
La Guajira [Department: Colombia]
170047
Cesar and Magdalena [Department: Colombia]
170050
Meta and Vichada [Department: Colombia]
170052
Nariño [Department: Colombia]
170054
Norte de Santander [Department: Colombia]
170066
Caldas, QuindÃo, and Risaralda [Department: Colombia]
170068
Santander [Department: Colombia]
170073
Tolima [Department: Colombia]
170076
Valle [Department: Colombia]
170081
Arauca [Department: Colombia]
170086
Putumayo [Department: Colombia]
170088
San Andrés [Department: Colombia]
170091
Amazonas [Department: Colombia]
170095
Guaviare, Vaupés, and GuainÃa [Department: Colombia]
188001
San José [Province: Costa Rica]
188002
Alajuela [Province: Costa Rica]
188003
Cartago [Province: Costa Rica]
188004
Heredia [Province: Costa Rica]
188005
Guanacaste [Province: Costa Rica]
188006
Puntarenas [Province: Costa Rica]
188007
Limón [Province: Costa Rica]
192001
Pinar del RÃo [Province: Cuba]
192002
La Habana [Province: Cuba]
192003
Ciudad de la Habana [Province: Cuba]
192004
Matanzas [Province: Cuba]
192005
Villa Clara [Province: Cuba]
192006
Cienfuegos [Province: Cuba]
192007
Sancti Spiritus [Province: Cuba]
192008
Ciego de Avila [Province: Cuba]
192009
Camagüey [Province: Cuba]
192010
Las Tunas [Province: Cuba]
192011
HolguÃn [Province: Cuba]
192012
Granma [Province: Cuba]
192013
Santiago de Cuba [Province: Cuba]
192014
Guantánamo [Province: Cuba]
192099
Isla de la Juventud [Province: Cuba]
214001
Federal district and Santo Domingo [Province: Dominican Republic]
214002
Azua [Province: Dominican Republic]
214003
Baoruco [Province: Dominican Republic]
214004
Barahona [Province: Dominican Republic]
214005
Dajabón [Province: Dominican Republic]
214006
Duarte [Province: Dominican Republic]
214007
ElÃas Piña [Province: Dominican Republic]
214008
El Seibo and Hato Mayor [Province: Dominican Republic]
214009
Espaillat [Province: Dominican Republic]
214010
Independencia [Province: Dominican Republic]
214011
La Altagracia and La Romana [Province: Dominican Republic]
214013
La Vega and Monseñor Nouel [Province: Dominican Republic]
214014
MarÃa Trinidad Sánchez and Samaná [Province: Dominican Republic]
214015
Monte Cristi [Province: Dominican Republic]
214016
Pedernales [Province: Dominican Republic]
214017
Peravia and San José de Ocoa [Province: Dominican Republic]
214018
Puerto Plata [Province: Dominican Republic]
214019
Hermanas Mirabal [Province: Dominican Republic]
214021
San Cristóbal and Monte Plata [Province: Dominican Republic]
214022
San Juan [Province: Dominican Republic]
214023
San Pedro de MacorÃs [Province: Dominican Republic]
214024
Sánchez RamÃrez [Province: Dominican Republic]
214025
Santiago [Province: Dominican Republic]
214026
Santiago RodrÃguez [Province: Dominican Republic]
214027
Valverde [Province: Dominican Republic]
218001
Azuay [Province: Ecuador]
218002
BolÃvar [Province: Ecuador]
218004
Carchi [Province: Ecuador]
218005
Cotopaxi [Province: Ecuador]
218006
Chimborazo [Province: Ecuador]
218007
El Oro [Province: Ecuador]
218009
Cañar, Esmeraldas, Guayas, ManabÃ, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los RÃos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero
218010
Imbabura, Las Golondrinas [Disputed canton] [Disputed canton]
218011
Loja [Province: Ecuador]
218014
Morona Santiago [Province: Ecuador]
218016
Pastaza [Province: Ecuador]
218018
Tungurahua [Province: Ecuador]
218019
Zamora Chinchipe [Province: Ecuador]
218021
Napo, Orellana, SucumbÃos [Province: Ecuador]
218099
Unknown [Province: Ecuador]
222001
Ahuachapán [Department: El Salvador]
222002
Santa Ana [Department: El Salvador]
222003
Sonsonate [Department: El Salvador]
222004
Chalatenango [Department: El Salvador]
222005
La Libertad [Department: El Salvador]
222006
San Salvador [Department: El Salvador]
222007
Cuscatlán [Department: El Salvador]
222008
La Paz [Department: El Salvador]
222009
Cabañas [Department: El Salvador]
222010
San Vicente [Department: El Salvador]
222011
Usulután [Department: El Salvador]
222012
San Miguel [Department: El Salvador]
222013
Morazán [Department: El Salvador]
222014
La Unión [Department: El Salvador]
231001
Tigray [Region: Ethiopia]
231002
Affar [Region: Ethiopia]
231003
Amhara [Region: Ethiopia]
231004
Oromiya [Region: Ethiopia]
231005
Somali [Region: Ethiopia]
231006
Benishangul-Gumz [Region: Ethiopia]
231007
Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia]
231012
Gambela [Region: Ethiopia]
231013
Harari [Region: Ethiopia]
231014
Addis Ababa [Region: Ethiopia]
231015
Dire Dawa [Region: Ethiopia]
231017
Special region [Region: Ethiopia]
238094
Falkland Islands [Province: Argentina]
239094
South Georgia and South Sandwich Islands [Province: Argentina]
242001
Ba [Province: Fiji]
242003
Bua, Cakaudrove [Province: Fiji]
242006
Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji]
242007
Macuata [Province: Fiji]
242008
Nadroha [Province: Fiji]
242009
Naitasiri, Rewa [Province: Fiji]
242011
Ra [Province: Fiji]
242014
Serua, Namosi [Province: Fiji]
242015
Tailevu [Province: Fiji]
242099
Ships, unknown [Province: Fiji]
250001
Guadeloupe [Oversea Department, France]
250002
Martinique [Oversea Department, France]
250003
French Guyana [Oversea Department, France]
250004
Réunion Island [Oversea Department, France]
250011
ÃŽle-de-France [Region: France]
250021
Champagne-Ardenne [Region: France]
250022
Picardy [Region: France]
250023
Upper Normandy [Region: France]
250024
Centre [Region: France]
250025
Lower Normandy [Region: France]
250026
Burgundy [Region: France]
250031
North Pas-de-Calais [Region: France]
250041
Lorraine [Region: France]
250042
Alsace [Region: France]
250043
Franche-Comté [Region: France]
250052
Loire Valley [Region: France]
250053
Brittany [Region: France]
250054
Poitou-Charentes [Region: France]
250072
Aquitaine [Region: France]
250073
Midi-Pyrénées [Region: France]
250074
Limousin [Region: France]
250082
Rhône-Alpes [Region: France]
250083
Auvergne [Region: France]
250091
Languedoc-Roussillon [Region: France]
250093
Provence-Alpes-Riviera [Region: France]
250094
Corsica [Region: France]
250999
Unknown [Region: France]
275001
Jenin [Governorate: Palestine]
275005
Tubas [Governorate: Palestine]
275010
Tulkarm [Governorate: Palestine]
275015
Nablus [Governorate: Palestine]
275020
Qalqiliya [Governorate: Palestine]
275025
Salfit [Governorate: Palestine]
275030
Ramallah and Al-Bireh [Governorate: Palestine]
275035
Jericho [Governorate: Palestine]
275040
Jerusalem [Governorate: Palestine]
275045
Bethlehem [Governorate: Palestine]
275050
Hebron [Governorate: Palestine]
275055
North Gaza [Governorate: Palestine]
275060
Gaza [Governorate: Palestine]
275065
Deir Al-Balah [Governorate: Palestine]
275070
Khan Yunis [Governorate: Palestine]
275075
Rafah [Governorate: Palestine]
276001
Schleswig-Holstein [State: Germany]
276002
Hamburg [State: Germany]
276003
Niedersachsen [State: Germany]
276004
Bremen [State: Germany]
276005
Nordrhein-Westfalen [State: Germany]
276006
Hessen [State: Germany]
276007
Rheinland-Pfalz [State: Germany]
276008
Baden-Württemberg [State: Germany]
276009
Bayern [State: Germany]
276010
Saarland [State: Germany]
276012
Brandenburg [State: Germany]
276013
Mecklenburg-West Pomerania [State: Germany]
276014
Saxony [State: Germany]
276015
Saxony-Anhalt [State: Germany]
276016
Thuringia [State: Germany]
276017
East Berlin [State: Germany]
276018
West Berlin [State: Germany]
276099
NIU (Not in universe) [State: Germany]
288001
Western [Region: Ghana]
288002
Central [Region: Ghana]
288003
Greater Accra [Region: Ghana]
288004
Volta [Region: Ghana]
288005
Eastern [Region: Ghana]
288006
Ashanti [Region: Ghana]
288007
Brong Ahafo [Region: Ghana]
288008
Northern [Region: Ghana]
288009
Upper East [Region: Ghana]
288010
Upper West [Region: Ghana]
300001
Etolia and Akarnania [Department: Greece]
300003
Viotia [Department: Greece]
300004
Evia [Department: Greece]
300005
Evrytania [Department: Greece]
300006
Fthiotida [Department: Greece]
300007
Fokida [Department: Greece]
300011
Argolida [Department: Greece]
300012
Arkadia [Department: Greece]
300013
Achaia [Department: Greece]
300014
Ilia [Department: Greece]
300015
Korinthia [Department: Greece]
300016
Lakonia [Department: Greece]
300017
Messinia [Department: Greece]
300021
Zakynthos [Department: Greece]
300022
Kerkyra [Department: Greece]
300023
Kefallinia [Department: Greece]
300024
Lefkada [Department: Greece]
300031
Arta [Department: Greece]
300032
Thesprotia [Department: Greece]
300033
Ioannina [Department: Greece]
300034
Preveza [Department: Greece]
300041
Karditsa [Department: Greece]
300042
Larissa [Department: Greece]
300043
Magnissia [Department: Greece]
300044
Trikala [Department: Greece]
300051
Grevena [Department: Greece]
300052
Drama [Department: Greece]
300053
Imathia [Department: Greece]
300054
Thessaloniki [Department: Greece]
300055
Kavala [Department: Greece]
300056
Kastoria [Department: Greece]
300057
Kilkis [Department: Greece]
300058
Kozani [Department: Greece]
300059
Pella [Department: Greece]
300061
Pieria [Department: Greece]
300062
Serres [Department: Greece]
300063
Florina [Department: Greece]
300064
Chalkidiki and Aghion Oros [Department: Greece]
300071
Evros [Department: Greece]
300072
Xanthi [Department: Greece]
300073
Rodopi [Department: Greece]
300081
Dodekanissos [Department: Greece]
300082
Kyklades [Department: Greece]
300083
Lesvos [Department: Greece]
300084
Samos [Department: Greece]
300085
Chios [Department: Greece]
300091
Iraklio [Department: Greece]
300092
Lassithi [Department: Greece]
300093
Rethymno [Department: Greece]
300094
Chania [Department: Greece]
300101
Prefecture of Athens [Department: Greece]
300102
Prefecture of East Attiki [Department: Greece]
300103
Prefecture of West Attiki [Department: Greece]
300104
Prefecture of Pireas [Department: Greece]
324001
Boké [Region: Guinea]
324002
Faranah [Region: Guinea]
324003
Kankan [Region: Guinea]
324004
Kindia, Labe, Mamou [Region: Guinea]
324007
N'zerekore [Region: Guinea]
324008
Conakry [Region: Guinea]
332003
Nord (North) and Nord'est (North East) [Department: Haiti]
332006
Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]
332007
Grand'Anse, Nippes, Sud (South) [Department: Haiti]
332009
Nord'Ouest (North West) [Department: Haiti]
356001
Jammu and Kashmir [State: India]
356002
Himachal Pradesh [State: India]
356003
Punjab [State: India]
356004
Chandigarh [State: India]
356006
Haryana [State: India]
356007
Delhi [State: India]
356008
Rajasthan [State: India]
356009
Uttar Pradesh and Uttaranchal [State: India]
356010
Bihar and Jharkhand [State: India]
356011
Sikkim [State: India]
356012
Arunachal Pradesh [State: India]
356013
Nagaland [State: India]
356014
Manipur [State: India]
356015
Mizoram [State: India]
356016
Tripura [State: India]
356017
Meghalaya [State: India]
356018
Assam [State: India]
356019
West Bengal [State: India]
356021
Orissa [State: India]
356023
Chhattisgarh and Madhya Pradesh [State: India]
356024
Gujarat [State: India]
356026
Dadra and Nagar Haveli [State: India]
356027
Maharashtra [State: India]
356028
Andhra Pradesh [State: India]
356029
Karnataka [State: India]
356030
Daman and Diu and Goa [State: India]
356031
Lakshadweep [State: India]
356032
Kerala [State: India]
356033
Tamil Nadu [State: India]
356034
Pondicherry [State: India]
356035
Andaman and Nicobar Islands [State: India]
360011
Nanggroe Aceh Darussalam [Province: Indonesia]
360012
Sumatera Utara [Province: Indonesia]
360013
Sumatera Barat [Province: Indonesia]
360014
Riau and Kepulauan Riau [Province: Indonesia]
360015
Jambi [Province: Indonesia]
360016
Sumatera Selatan and Bangka Belitung [Province: Indonesia]
360017
Bengkulu [Province: Indonesia]
360018
Lampung [Province: Indonesia]
360031
DKI Jakarta [Province: Indonesia]
360032
West Java and Banten [Province: Indonesia]
360033
Jawa Tengah [Province: Indonesia]
360034
DI Yogyakarta [Province: Indonesia]
360035
Jawa Timur [Province: Indonesia]
360051
Bali [Province: Indonesia]
360052
Nusa Tenggara Barat [Province: Indonesia]
360053
East Nusa Tenggara [Province: Indonesia]
360061
Kalimantan Barat [Province: Indonesia]
360062
Kalimantan Tengah [Province: Indonesia]
360063
Kalimantan Selatan [Province: Indonesia]
360064
Kalimantan Timur [Province: Indonesia]
360071
Sulawesi Utara and Gorontalo [Province: Indonesia]
360072
Sulawesi Tengah [Province: Indonesia]
360073
Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia]
360081
Maluku and Maluku Utara [Province: Indonesia]
360094
Papua and Papua Barat [Province: Indonesia]
364000
Markazi [Province: Iran]
364001
Gilan [Province: Iran]
364002
Mazandaran [Province: Iran]
364003
East Azarbayejan [Province: Iran]
364004
West Azarbayejan [Province: Iran]
364005
Kermanshah [Province: Iran]
364006
Khuzestan [Province: Iran]
364007
Fars [Province: Iran]
364008
Kerman [Province: Iran]
364009
Khorasan-e- Razavi [Province: Iran]
364010
Esfahan [Province: Iran]
364011
Sistan and Baluchestan [Province: Iran]
364012
Kordestan [Province: Iran]
364013
Hamedan [Province: Iran]
364014
Chaharmahal and Bakhtiyari [Province: Iran]
364015
Lorestan [Province: Iran]
364016
Ilam [Province: Iran]
364017
Kohgiluyeh and Boyerahmad [Province: Iran]
364018
Bushehr [Province: Iran]
364019
Zanjan [Province: Iran]
364020
Semnan [Province: Iran]
364021
Yazd [Province: Iran]
364022
Hormozgan [Province: Iran]
364023
Tehran [Province: Iran]
364024
Ardebil [Province: Iran]
364025
Qom [Province: Iran]
364026
Qazvin [Province: Iran]
364027
Golestan [Province: Iran]
364028
North Khorasan [Province: Iran]
364029
South Khorasan [Province: Iran]
368011
Dhok [Governorate: Iraq]
368012
Nineveh [Governorate: Iraq]
368013
Al-Sulaimaniya [Governorate: Iraq]
368014
Al-Tameem [Governorate: Iraq]
368015
Arbil [Governorate: Iraq]
368021
Diala [Governorate: Iraq]
368022
Al-Anbar [Governorate: Iraq]
368023
Baghdad [Governorate: Iraq]
368024
Babylon [Governorate: Iraq]
368025
Kerbela [Governorate: Iraq]
368026
Wasit [Governorate: Iraq]
368027
Salah Al-Deen [Governorate: Iraq]
368028
Al-Najaf [Governorate: Iraq]
368031
Al-Qadisiya [Governorate: Iraq]
368032
Al-Muthanna [Governorate: Iraq]
368033
Thi-Qar [Governorate: Iraq]
368034
Maysan [Governorate: Iraq]
368035
Al-Basrah [Governorate: Iraq]
372001
Border [Region: Ireland]
372002
Dublin [Region: Ireland]
372003
Mid-East [Region: Ireland]
372004
Midlands [Region: Ireland]
372005
Mid-West [Region: Ireland]
372006
South-East [Region: Ireland]
372007
South-West [Region: Ireland]
372008
West [Region: Ireland]
376001
Jerusalem [District: Israel]
376002
Northern [District: Israel]
376003
Haifa [District: Israel]
376004
Central [District: Israel]
376005
Tel-Aviv [District: Israel]
376006
Southern [District: Israel]
376009
Judea, Samaria, and Gaza areas [District: Israel]
380001
Piemonte-Valle d'Aosta [Region: Italy]
380003
Lombardia [Region: Italy]
380004
Trentino-Alto Adige [Region: Italy]
380005
Veneto [Region: Italy]
380006
Friuli-Venezia Giulia [Region: Italy]
380007
Liguria [Region: Italy]
380008
Emilia-Romagna [Region: Italy]
380009
Toscana [Region: Italy]
380010
Umbria [Region: Italy]
380011
Marche [Region: Italy]
380012
Lazio [Region: Italy]
380013
Abruzzo [Region: Italy]
380014
Molise [Region: Italy]
380015
Campania [Region: Italy]
380016
Puglia [Region: Italy]
380017
Basilicata [Region: Italy]
380018
Calabria [Region: Italy]
380019
Sicilia [Region: Italy]
380020
Sardegna [Region: Italy]
388001
Kingston [Parish: Jamaica]
388002
Saint Andrew [Parish: Jamaica]
388003
Saint Thomas [Parish: Jamaica]
388004
Portland [Parish: Jamaica]
388005
Saint Mary [Parish: Jamaica]
388006
Saint Ann [Parish: Jamaica]
388007
Trelawny [Parish: Jamaica]
388008
Saint James [Parish: Jamaica]
388009
Hanover [Parish: Jamaica]
388010
Westmoreland [Parish: Jamaica]
388011
Saint Elizabeth [Parish: Jamaica]
388012
Manchester [Parish: Jamaica]
388013
Clarendon [Parish: Jamaica]
388014
Saint Catherine [Parish: Jamaica]
400011
Amman [Governorate: Jordan]
400012
Balqa [Governorate: Jordan]
400013
Zarqa [Governorate: Jordan]
400014
Madaba [Governorate: Jordan]
400021
Irbid [Governorate: Jordan]
400022
Mafraq [Governorate: Jordan]
400023
Jarash [Governorate: Jordan]
400024
Ajlun [Governorate: Jordan]
400031
Karak [Governorate: Jordan]
400032
Tafilah [Governorate: Jordan]
400033
Ma'an [Governorate: Jordan]
400034
Aqaba [Governorate: Jordan]
404001
Nairobi [Province: Kenya]
404002
Central Province [Province: Kenya]
404003
Coast Province [Province: Kenya]
404004
Eastern Province [Province: Kenya]
404005
North-Eastern Province [Province: Kenya]
404006
Nyanza Province [Province: Kenya]
404007
Rift Valley Province [Province: Kenya]
404008
Western Province [Province: Kenya]
417001
Gorkenesh Bishkek [Region: Kyrgyz Republic]
417002
Issyk-Kul [Region: Kyrgyz Republic]
417003
Dzhalal-Abad [Region: Kyrgyz Republic]
417004
Naryn [Region: Kyrgyz Republic]
417005
Batken [Region: Kyrgyz Republic]
417006
Oshskaya [Region: Kyrgyz Republic]
417007
Talasskaya [Region: Kyrgyz Republic]
417008
Chuya [Region: Kyrgyz Republic]
430006
Bong [County: Liberia]
430009
Grand Bassa and Rivercess [County: Liberia]
430012
Grand Cape Mount [County: Liberia]
430015
Grand Gedeh and River Gee [County: Liberia]
430021
Lofa and Gbarpolu [County: Liberia]
430027
Maryland and Grand Kru [County: Liberia]
430030
Montserrado, Bomi, and Margibi [County: Liberia]
430033
Nimba [County: Liberia]
430039
Sinoe [County: Liberia]
454101
Chitipa [District: Malawi]
454102
Karonga [District: Malawi]
454103
Nkhata Bay, Likoma [District: Malawi]
454104
Rumphi [District: Malawi]
454105
Mzimba, Mzuzu city [District: Malawi]
454201
Kasungu [District: Malawi]
454202
Nkhota Kota [District: Malawi]
454203
Ntchisi [District: Malawi]
454204
Dowa [District: Malawi]
454205
Salima [District: Malawi]
454206
Lilongwe [District: Malawi]
454207
Mchinji [District: Malawi]
454208
Dedza [District: Malawi]
454209
Ntcheu [District: Malawi]
454301
Mangochi [District: Malawi]
454302
Machinga [District: Malawi]
454303
Zomba [District: Malawi]
454304
Chiradzulu [District: Malawi]
454305
Blantyre [District: Malawi]
454307
Thyolo [District: Malawi]
454308
Mulanje [District: Malawi]
454310
Chikwawa [District: Malawi]
454311
Nsanje [District: Malawi]
454313
Mwanza, Neno [District: Malawi]
458001
Johor [State: Malaysia]
458002
Kedah [State: Malaysia]
458003
Kelantan [State: Malaysia]
458004
Melaka [State: Malaysia]
458005
Negeri Sembilan [State: Malaysia]
458006
Pahang [State: Malaysia]
458007
Pulau Pinang [State: Malaysia]
458008
Perak [State: Malaysia]
458009
Perlis [State: Malaysia]
458010
Selangor and Kuala Lumpur Federal Territory [State: Malaysia]
458011
Terengganu [State: Malaysia]
458012
Sabah and Labuan Federal Territory [State: Malaysia]
458013
Sarawak [State: Malaysia]
466001
Kayes [Region: Mali]
466002
Koulikoro [Region: Mali]
466003
Sikasso [Region: Mali]
466004
Ségou [Region: Mali]
466005
Mopti [Region: Mali]
466006
Tombouctou [Region: Mali]
466007
Gao and Kidal [Region: Mali]
466009
Bamako [Region: Mali]
466099
Unknown [Region: Mali]
484001
Aguascalientes [State: Meico]
484002
Baja California [State: Meico]
484003
Baja California Sur [State: Meico]
484004
Campeche [State: Meico]
484005
Coahuila [State: Meico]
484006
Colima [State: Meico]
484007
Chiapas [State: Meico]
484008
Chihuahua [State: Meico]
484009
Distrito Federal [State: Meico]
484010
Durango [State: Meico]
484011
Guanajuato [State: Meico]
484012
Guerrero [State: Meico]
484013
Hidalgo [State: Meico]
484014
Jalisco [State: Meico]
484015
México [State: Meico]
484016
Michoacán [State: Meico]
484017
Morelos [State: Meico]
484018
Nayarit [State: Meico]
484019
Nuevo León [State: Meico]
484020
Oaxaca [State: Meico]
484021
Puebla [State: Meico]
484022
Querétaro [State: Meico]
484023
Quintana Roo [State: Meico]
484024
San Luis Potosà [State: Meico]
484025
Sinaloa [State: Meico]
484026
Sonora [State: Meico]
484027
Tabasco [State: Meico]
484028
Tamaulipas [State: Meico]
484029
Tlaxcala [State: Meico]
484030
Veracruz [State: Meico]
484031
Yucatán [State: Meico]
484032
Zacatecas [State: Meico]
496001
Arkhangai [Province: Mongolia]
496002
Bayan-Ölgii [Province: Mongolia]
496003
Bayankhongor [Province: Mongolia]
496004
Bulgan [Province: Mongolia]
496005
Govi-Altai [Province: Mongolia]
496006
Dornogovi [Province: Mongolia]
496007
Dornod [Province: Mongolia]
496008
Dundgovi and Govisumber [Province: Mongolia]
496009
Zavkhan [Province: Mongolia]
496010
Övörkhangai [Province: Mongolia]
496011
Ömnögovi [Province: Mongolia]
496012
Sükhbaatar [Province: Mongolia]
496013
Selenge [Province: Mongolia]
496014
Töv [Province: Mongolia]
496015
Uvs [Province: Mongolia]
496016
Khovd [Province: Mongolia]
496017
Khövsgöl [Province: Mongolia]
496018
Khentii [Province: Mongolia]
496019
Darkhan-Uul [Province: Mongolia]
496020
Ulaanbaatar [Province: Mongolia]
496021
Orkhon [Province: Mongolia]
504001
Oued-Ed-Dahab-Lagouira [Region: Morocco]
504002
Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco]
504003
Guelmin-Es-Samara [Region: Morocco]
504004
Souss-Massa-Draâ [Region: Morocco]
504005
Charb-Chrarda-Béni Hssen [Region: Morocco]
504006
Chaouia-Ouardigha [Region: Morocco]
504007
Marrakech-Tensift-Al Haouz [Region: Morocco]
504008
Oriental [Region: Morocco]
504009
Grand-Casablanca [Region: Morocco]
504010
Rabat-Salé-Zemmour-Zaer [Region: Morocco]
504011
Doukala Abda [Region: Morocco]
504012
Tadla Azilal [Region: Morocco]
504013
Meknès-Tafilalet [Region: Morocco]
504014
Fès-Boulemane [Region: Morocco]
504015
Taza-Al Heiceima-Taounate [Region: Morocco]
504016
Tanger-Tétouan [Region: Morocco]
508001
Niassa [Province: Mozambique]
508002
Cabo Delgado [Province: Mozambique]
508003
Nampula [Province: Mozambique]
508004
Zambézia [Province: Mozambique]
508005
Tete [Province: Mozambique]
508006
Manica [Province: Mozambique]
508007
Sofala [Province: Mozambique]
508008
Inhambane [Province: Mozambique]
508009
Gaza [Province: Mozambique]
508010
Maputo province [Province: Mozambique]
508011
Maputo city [Province: Mozambique]
524001
Mechi [Administrative zone: Nepal]
524002
Koshi [Administrative zone: Nepal]
524003
Sagarmatha [Administrative zone: Nepal]
524004
Janakpur [Administrative zone: Nepal]
524005
Bagmati [Administrative zone: Nepal]
524006
Narayani [Administrative zone: Nepal]
524007
Gandaki [Administrative zone: Nepal]
524008
Dhawalagiri [Administrative zone: Nepal]
524009
Lumbini [Administrative zone: Nepal]
524010
Rapti [Administrative zone: Nepal]
524011
Bheri [Administrative zone: Nepal]
524012
Karnali [Administrative zone: Nepal]
524013
Seti [Administrative zone: Nepal]
524014
Mahakali [Administrative zone: Nepal]
558005
Nueva Segovia [Department: Nicaragua]
558010
Jinotega [Department: Nicaragua]
558020
MadrÃz [Department: Nicaragua]
558030
Chinandega [Department: Nicaragua]
558035
Leon and Esteli [Department: Nicaragua]
558040
Matagalpa [Department: Nicaragua]
558050
Boaco [Department: Nicaragua]
558055
Managua [Department: Nicaragua]
558060
Masaya [Department: Nicaragua]
558065
Chontales [Department: Nicaragua]
558070
Granada [Department: Nicaragua]
558075
Carazo [Department: Nicaragua]
558080
Rivas [Department: Nicaragua]
558085
RÃo San Juan [Department: Nicaragua]
558093
Atlántico Norte and Atlántico Sur [Department: Nicaragua]
558099
Unknown [Department: Nicaragua]
566001
Abia [State: Nigeria]
566002
Adamawa [State: Nigeria]
566003
Akwa Ibom [State: Nigeria]
566004
Anambra [State: Nigeria]
566005
Bauchi [State: Nigeria]
566006
Bayelsa [State: Nigeria]
566007
Benue [State: Nigeria]
566008
Borno [State: Nigeria]
566009
Cross River [State: Nigeria]
566010
Delta [State: Nigeria]
566011
Ebonyi [State: Nigeria]
566012
Edo [State: Nigeria]
566013
Ekiti [State: Nigeria]
566014
Enugu [State: Nigeria]
566015
Gombe [State: Nigeria]
566016
Imo [State: Nigeria]
566017
Jigawa [State: Nigeria]
566018
Kaduna [State: Nigeria]
566019
Kano [State: Nigeria]
566020
Katsina [State: Nigeria]
566021
Kebbi [State: Nigeria]
566022
Kogi [State: Nigeria]
566023
Kwara [State: Nigeria]
566024
Lagos [State: Nigeria]
566025
Nasarawa [State: Nigeria]
566026
Niger [State: Nigeria]
566027
Ogun [State: Nigeria]
566028
Ondo [State: Nigeria]
566029
Osun [State: Nigeria]
566030
Oyo [State: Nigeria]
566031
Plateau [State: Nigeria]
566032
Rivers [State: Nigeria]
566033
Sokoto [State: Nigeria]
566034
Taraba [State: Nigeria]
566035
Yobe [State: Nigeria]
566036
Zamfara [State: Nigeria]
566037
Federal Capital Territory Abuja [State: Nigeria]
566099
Unknown [State: Nigeria]
586001
North-West Frontier Province [Province: Pakistan]
586002
Fata [Province: Pakistan]
586003
Punjab, Islamabad [Province: Pakistan]
586004
Sind [Province: Pakistan]
586005
Baluchistan [Province: Pakistan]
586007
Northern areas [Province: Pakistan]
586008
Kashmir [Province: Pakistan]
591002
Coclé [Province: Panama]
591003
Colón, Comarca Kuna Yala (San Blas) [Province: Panama]
591004
Bocas de Toro, ChiriquÃ, Comarca Ngäbe Buglé, Veraguas [Province: Panama]
591005
Comarca Emberá, Darién [Province: Panama]
591006
Herrera [Province: Panama]
591007
Los Santos [Province: Panama]
591008
Panamá [Province: Panama]
600000
Asunción [Department: Paraguay]
600001
Concepción [Department: Paraguay]
600002
San Pedro [Department: Paraguay]
600007
Itapúa [Department: Paraguay]
600008
Misiones and Ñeembucú [Department: Paraguay]
600009
Guairá, Caazapá, and Paraguarà [Department: Paraguay]
600010
Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay]
600011
Central [Department: Paraguay]
600013
Amambay [Department: Paraguay]
600015
Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay]
600099
Unknown [Department: Paraguay]
604001
Amazonas [Region: Peru]
604002
Ancash [Region: Peru]
604003
ApurÃmac [Region: Peru]
604004
Arequipa [Region: Peru]
604005
Ayacucho [Region: Peru]
604006
Cajamarca [Region: Peru]
604007
Callao [Region: Peru]
604008
Cusco [Region: Peru]
604009
Huancavelica [Region: Peru]
604010
Huánuco [Region: Peru]
604011
Ica [Region: Peru]
604012
JunÃn [Region: Peru]
604013
La Libertad [Region: Peru]
604014
Lambayeque [Region: Peru]
604015
Lima [Region: Peru]
604016
Loreto [Region: Peru]
604017
Madre de Dios [Region: Peru]
604018
Moquegua [Region: Peru]
604019
Pasco [Region: Peru]
604020
Piura [Region: Peru]
604021
Puno [Region: Peru]
604022
San MartÃn [Region: Peru]
604023
Tacna [Region: Peru]
604024
Tumbes [Region: Peru]
604025
Ucayali [Region: Peru]
608001
Ilocos [Region: Philippines]
608002
Cagayan Valley [Region: Philippines]
608003
Central Luzon [Region: Philippines]
608004
Southern Tagalog [Region: Philippines]
608005
Bicol [Region: Philippines]
608006
Western Visayas [Region: Philippines]
608007
Central Visayas [Region: Philippines]
608008
Eastern Visayas [Region: Philippines]
608009
Western Mindanao [Region: Philippines]
608011
Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines]
608012
Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines]
608013
National Capital Region [Region: Philippines]
608014
Cordillera Administrative Region [Region: Philippines]
620111
Minho-Lima [Subregion: Portugal]
620112
Cávado [Subregion: Portugal]
620113
Ave [Subregion: Portugal]
620114
Grande Porto [Subregion: Portugal]
620115
Tâmega [Subregion: Portugal]
620116
Entre Douro e Vouga [Subregion: Portugal]
620117
Douro [Subregion: Portugal]
620118
Alto Trás-os-Montes [Subregion: Portugal]
620150
Algarve [Subregion: Portugal]
620161
Baixo Vouga [Subregion: Portugal]
620162
Baixo Mondego [Subregion: Portugal]
620163
Pinhal Litoral [Subregion: Portugal]
620165
Dão-Lafões [Subregion: Portugal]
620166
Oeste [Subregion: Portugal]
620167
Médio Tejo [Subregion: Portugal]
620169
Other Center [Subregion: Portugal]
620171
Grande Lisboa [Subregion: Portugal]
620172
PenÃnsula de Setúbal [Subregion: Portugal]
620185
LezÃria do Tejo [Subregion: Portugal]
620189
Other Alentejo [Subregion: Portugal]
620200
Região Autónoma dos Açores [Subregion: Portugal]
620300
Região Autónoma da Madeira [Subregion: Portugal]
630101
G7201001 [PUMA: Puerto Rico]
630104
G7201002, G7201003, G7201004 [PUMA: Puerto Rico]
630110
G7201100 [PUMA: Puerto Rico]
630180
G7201800 [PUMA: Puerto Rico]
630200
G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico]
630250
G7202500 [PUMA: Puerto Rico]
642001
Alba [County: Romania]
642002
Arad [County: Romania]
642003
Arges [County: Romania]
642004
Bacau [County: Romania]
642005
Bihor [County: Romania]
642006
Bistrita Nasaud [County: Romania]
642007
Botosani [County: Romania]
642008
Brasov [County: Romania]
642009
Braila [County: Romania]
642010
Buzau [County: Romania]
642011
Caras Severin [County: Romania]
642012
Cluj [County: Romania]
642013
Constanta [County: Romania]
642014
Covasna [County: Romania]
642015
Dimbovita [County: Romania]
642016
Dolj [County: Romania]
642017
Galati [County: Romania]
642018
Gorj [County: Romania]
642019
Harghita [County: Romania]
642020
Hunedoara [County: Romania]
642022
Iasi [County: Romania]
642024
Maramures [County: Romania]
642025
Mehedinti [County: Romania]
642026
Mures [County: Romania]
642027
Neamt [County: Romania]
642028
Olt [County: Romania]
642029
Prahova [County: Romania]
642030
Satu Mare [County: Romania]
642031
Salaj [County: Romania]
642032
Sibiu [County: Romania]
642033
Suceava [County: Romania]
642034
Teleorman [County: Romania]
642035
Timis [County: Romania]
642036
Tulcea [County: Romania]
642037
Vaslui [County: Romania]
642038
Valcea [County: Romania]
642039
Vrancea [County: Romania]
642043
Bucharest Sector 1 to 6 [County: Romania]
642051
Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]
646001
Kigali City [Province: Rwanda]
646002
Kigali Ngali [Province: Rwanda]
646004
Gitarama [Province: Rwanda]
646005
Butare [Province: Rwanda]
646006
Gikongoro [Province: Rwanda]
646007
Cyangugu [Province: Rwanda]
646008
Kibuye [Province: Rwanda]
646009
Gisenyi [Province: Rwanda]
646010
Ruhengeri [Province: Rwanda]
646012
Byumba, Kibungo and Umutara [Province: Rwanda]
686001
Dakar [Region: Senegal]
686002
Diourbel [Region: Senegal]
686003
Fatick [Region: Senegal]
686004
Kaolack [Region: Senegal]
686005
Kolda [Region: Senegal]
686008
Louga, Saint Louis, Matam [Region: Senegal]
686009
Tambacounda [Region: Senegal]
686010
Thiès [Region: Senegal]
686011
Ziguinchor [Region: Senegal]
694011
Kailahun [District: Sierra Leone]
694012
Kenema [District: Sierra Leone]
694013
Kono [District: Sierra Leone]
694021
Bombali [District: Sierra Leone]
694022
Kambia [District: Sierra Leone]
694023
Koinadugu [District: Sierra Leone]
694024
Port Loko [District: Sierra Leone]
694025
Tonkolili [District: Sierra Leone]
694031
Bo [District: Sierra Leone]
694032
Bonthe [District: Sierra Leone]
694033
Moyamba [District: Sierra Leone]
694034
Pujehun [District: Sierra Leone]
694041
Western - rural [District: Sierra Leone]
694042
Western - urban [District: Sierra Leone]
704001
Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam]
704002
Ha Giang and Tuyen Quang [Province: Vietnam]
704004
Cao Bang [Province: Vietnam]
704014
Son La [Province: Vietnam]
704015
Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam]
704019
Bac Kan and Thai Nguyen [Province: Vietnam]
704020
Lang Son [Province: Vietnam]
704022
Quang Ninh [Province: Vietnam]
704024
Bac Giang, and Bac Ninh [Province: Vietnam]
704030
Hai Duong and Hung Yen [Province: Vietnam]
704031
Hai Phong [Province: Vietnam]
704034
Thai Binh [Province: Vietnam]
704038
Thanh Hoa [Province: Vietnam]
704040
Nghe An and Ha Tinh [Province: Vietnam]
704046
Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam]
704049
Da Nang and Quang Nam [Province: Vietnam]
704051
Binh Dinh and Quang Ngai [Province: Vietnam]
704054
Phu Yen and Khanh Hoa [Province: Vietnam]
704060
Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam]
704062
Gia Lai and Kon Tum [Province: Vietnam]
704066
Dak Lak and Dak Nong [Province: Vietnam]
704068
Lam Dong [Province: Vietnam]
704072
Tay Ninh [Province: Vietnam]
704074
Binh Duong and Binh Phuoc [Province: Vietnam]
704075
Dong Nai and Ba Ria - Vung Tau [Province: Vietnam]
704079
Ho Chi Minh City [Province: Vietnam]
704080
Long An [Province: Vietnam]
704082
Tien Giang [Province: Vietnam]
704083
Ben Tre [Province: Vietnam]
704086
Vinh Long and Tra Vinh [Province: Vietnam]
704087
Dong Thap [Province: Vietnam]
704089
An Giang [Province: Vietnam]
704091
Kien Giang [Province: Vietnam]
704094
Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam]
704096
Bac Lieu and Ca Mau [Province: Vietnam]
705001
Pomurska [Region: Slovenia]
705002
Podravska [Region: Slovenia]
705003
Koroška [Region: Slovenia]
705004
Savinjska [Region: Slovenia]
705005
Zasavska [Region: Slovenia]
705006
Spodnjeposavska [Region: Slovenia]
705007
Jugovzhodna Slovenija [Region: Slovenia]
705008
Osrednjeslovenska [Region: Slovenia]
705009
Gorenjska [Region: Slovenia]
705010
Notranjsko-kraška [Region: Slovenia]
705011
Goriška [Region: Slovenia]
705012
Obalno-kraška [Region: Slovenia]
705099
Unknown [Region: Slovenia]
710001
Western Cape [Province: South Africa]
710004
Free State [Province: South Africa]
710005
Eastern Cape, KwaZulu-Natal [Province: South Africa]
710007
Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]
710999
Unknown [Province: South Africa]
724011
Galicia [Communities and Autonomous Cities: Spain]
724012
Principado de Asturias [Communities and Autonomous Cities: Spain]
724013
Cantabria [Communities and Autonomous Cities: Spain]
724021
PaÃs Vasco [Communities and Autonomous Cities: Spain]
724022
Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain]
724023
La Rioja [Communities and Autonomous Cities: Spain]
724024
Aragón [Communities and Autonomous Cities: Spain]
724030
Comunidad de Madrid [Communities and Autonomous Cities: Spain]
724041
Castilla y León [Communities and Autonomous Cities: Spain]
724042
Castilla-La Mancha [Communities and Autonomous Cities: Spain]
724043
Extremadura [Communities and Autonomous Cities: Spain]
724051
Cataluña [Communities and Autonomous Cities: Spain]
724052
Comunidad Valenciana [Communities and Autonomous Cities: Spain]
724053
Illes Balears [Communities and Autonomous Cities: Spain]
724061
AndalucÃa [Communities and Autonomous Cities: Spain]
724062
Región de Murcia [Communities and Autonomous Cities: Spain]
724063
Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain]
724064
Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain]
724070
Canarias [Communities and Autonomous Cities: Spain]
724099
Unknown [Communities and Autonomous Cities: Spain]
728071
Upper Nile [State: South Sudan]
728072
Jonglei [State: South Sudan]
728073
Unity [State: South Sudan]
728081
Warrap [State: South Sudan]
728082
Northern Bahr El Ghazal [State: South Sudan]
728083
Western Bahr El Ghazal [State: South Sudan]
728084
Lakes [State: South Sudan]
728091
Western Equatoria [State: South Sudan]
728092
Central Equatoria [State: South Sudan]
728093
Eastern Equatoria [State: South Sudan]
729011
Northern [State: Sudan]
729012
Nahr El Nil [State: Sudan]
729021
Red Sea [State: Sudan]
729022
Kassala [State: Sudan]
729023
Al Gedarif [State: Sudan]
729031
Khartoum [State: Sudan]
729041
Al Gezira [State: Sudan]
729042
White Nile [State: Sudan]
729043
Sinnar [State: Sudan]
729044
Blue Nile [State: Sudan]
729051
North Kordofan [State: Sudan]
729052
South Kordofan [State: Sudan]
729061
North Darfur [State: Sudan]
729062
West Darfur [State: Sudan]
729063
South Darfur [State: Sudan]
756001
Zurich [Canton: Switzerland]
756002
Bern [Canton: Switzerland]
756003
Luzern (Lucerne) [Canton: Switzerland]
756004
Uri [Canton: Switzerland]
756005
Schwyz [Canton: Switzerland]
756006
Obwalden (Obwald) [Canton: Switzerland]
756007
Nidwalden (Nidwald) [Canton: Switzerland]
756008
Glarus [Canton: Switzerland]
756009
Zug [Canton: Switzerland]
756010
Fribourg [Canton: Switzerland]
756011
Solothurn [Canton: Switzerland]
756012
Basel-Stadt (Basel-City) [Canton: Switzerland]
756013
Basel-Landschaft (Basel-Country) [Canton: Switzerland]
756014
Schaffhausen [Canton: Switzerland]
756015
Outer and Inner Rhodes [Canton: Switzerland]
756017
St. Gallen (St. Gall) [Canton: Switzerland]
756018
Graubundun (Grisons) [Canton: Switzerland]
756019
Aargau (Argovia) [Canton: Switzerland]
756020
Thurgau (Thurgovia) [Canton: Switzerland]
756021
Ticino [Canton: Switzerland]
756022
Vaud [Canton: Switzerland]
756023
Valais [Canton: Switzerland]
756024
Neuchatel [Canton: Switzerland]
756025
Geneva [Canton: Switzerland]
756026
Jura [Canton: Switzerland]
764010
Bangkok [Province: Thailand]
764011
Samut Prakan [Province: Thailand]
764012
Nonthaburi [Province: Thailand]
764013
Pathum Thani [Province: Thailand]
764014
Phra Nakhon si Ayutthaya [Province: Thailand]
764015
Ang Thong [Province: Thailand]
764016
Lop Buri [Province: Thailand]
764017
Sing Buri [Province: Thailand]
764018
Chai Nat [Province: Thailand]
764019
Prachin Buri and Sa Kaeo [Province: Thailand]
764020
Chon Buri [Province: Thailand]
764021
Rayong [Province: Thailand]
764022
Chanthaburi [Province: Thailand]
764023
Trat [Province: Thailand]
764024
Chachoengsao [Province: Thailand]
764026
Nakhon Nayok [Province: Thailand]
764027
Saraburi [Province: Thailand]
764030
Nakhon Ratchasima [Province: Thailand]
764031
Buri Ram [Province: Thailand]
764032
Surin [Province: Thailand]
764033
Si Sa Ket [Province: Thailand]
764034
Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand]
764036
Chaiyaphum [Province: Thailand]
764040
Khon Kaen [Province: Thailand]
764041
Udon Thani and Nong Bua Lam Phu [Province: Thailand]
764042
Loei [Province: Thailand]
764043
Nong Khai [Province: Thailand]
764044
Maha Sarakham [Province: Thailand]
764045
Roi Et [Province: Thailand]
764046
Kalasin [Province: Thailand]
764047
Sakon Nakhon [Province: Thailand]
764048
Nakhon Phanom and Mukdahan [Province: Thailand]
764050
Chiang Mai [Province: Thailand]
764051
Lamphun [Province: Thailand]
764052
Lampang [Province: Thailand]
764053
Uttaradit [Province: Thailand]
764054
Phrae [Province: Thailand]
764055
Nan [Province: Thailand]
764057
Chiang Rai and Phayao [Province: Thailand]
764058
Mae Hong Son [Province: Thailand]
764060
Nakhon Sawan [Province: Thailand]
764061
Uthai Thani [Province: Thailand]
764062
Kamphaeng Phet [Province: Thailand]
764063
Tak [Province: Thailand]
764064
Sukhothai [Province: Thailand]
764065
Phitsanulok [Province: Thailand]
764066
Phichit [Province: Thailand]
764067
Phetchabun [Province: Thailand]
764070
Ratchaburi [Province: Thailand]
764071
Kanchanaburi [Province: Thailand]
764072
Suphanburi [Province: Thailand]
764073
Nakhon Pathom [Province: Thailand]
764074
Samut Sakhon [Province: Thailand]
764075
Samut Songkhram [Province: Thailand]
764076
Phetchaburi [Province: Thailand]
764077
Prachuap Khiri Khan [Province: Thailand]
764080
Nakhon Si Thammarat [Province: Thailand]
764081
Krabi [Province: Thailand]
764082
Phangnga [Province: Thailand]
764083
Phuket [Province: Thailand]
764084
Surat Thani [Province: Thailand]
764085
Ranong [Province: Thailand]
764086
Chumphon [Province: Thailand]
764090
Songkhla [Province: Thailand]
764091
Satun [Province: Thailand]
764092
Trang [Province: Thailand]
764093
Phatthalung [Province: Thailand]
764094
Pattani [Province: Thailand]
764095
Yala [Province: Thailand]
764096
Narathiwat [Province: Thailand]
792001
Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey]
792002
Adiyaman [Province: Turkey]
792003
Afyon [Province: Turkey]
792004
Agri [Province: Turkey]
792005
Amasya [Province: Turkey]
792006
Ankara and Kirikkale [Province: Turkey]
792007
Antalya [Province: Turkey]
792008
Artvin [Province: Turkey]
792009
Aydin [Province: Turkey]
792010
Balikesir [Province: Turkey]
792011
Bilecik [Province: Turkey]
792012
Bingöl [Province: Turkey]
792013
Bitlis [Province: Turkey]
792014
Bolu and Düzce [Province: Turkey]
792015
Burdur [Province: Turkey]
792017
Çanakkale [Province: Turkey]
792019
Çorum [Province: Turkey]
792020
Denizli [Province: Turkey]
792021
Diyarbakir [Province: Turkey]
792022
Edirne [Province: Turkey]
792023
Elazig [Province: Turkey]
792024
Erzincan [Province: Turkey]
792025
Erzurum [Province: Turkey]
792026
Eskisehir [Province: Turkey]
792028
Giresun [Province: Turkey]
792029
Gümüshane and Bayburt [Province: Turkey]
792031
Hatay [Province: Turkey]
792032
Isparta [Province: Turkey]
792033
Mersin (içel) [Province: Turkey]
792034
Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey]
792035
Izmir [Province: Turkey]
792036
Kars, Ardahan and Igdir [Province: Turkey]
792037
Kastamonu [Province: Turkey]
792038
Kayseri [Province: Turkey]
792039
Kirklareli [Province: Turkey]
792040
Kirsehir [Province: Turkey]
792042
Konya and Karaman [Province: Turkey]
792043
Kütahya [Province: Turkey]
792044
Malatya [Province: Turkey]
792045
Manisa [Province: Turkey]
792046
Kahramanmaras [Province: Turkey]
792047
Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey]
792048
Mugla [Province: Turkey]
792049
Mus [Province: Turkey]
792050
Nevsehir [Province: Turkey]
792051
Nigde and Aksaray [Province: Turkey]
792052
Ordu [Province: Turkey]
792053
Rize [Province: Turkey]
792054
Sakarya [Province: Turkey]
792055
Samsun [Province: Turkey]
792057
Sinop [Province: Turkey]
792058
Sivas [Province: Turkey]
792059
Tekirdag [Province: Turkey]
792060
Tokat [Province: Turkey]
792061
Trabzon [Province: Turkey]
792062
Tunceli [Province: Turkey]
792063
Sanliurfa [Province: Turkey]
792064
Usak [Province: Turkey]
792065
Van [Province: Turkey]
792066
Yozgat [Province: Turkey]
792067
Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey]
800101
Kalangala [District: Uganda]
800102
Kampala [District: Uganda]
800103
Kiboga [District: Uganda]
800104
Luwero and Nakasongola [District: Uganda]
800105
Masaka and Sembabule [District: Uganda]
800107
Mubende [District: Uganda]
800108
Mukono and Kayunga [District: Uganda]
800110
Rakai [District: Uganda]
800113
Mpigi and Wakiso [District: Uganda]
800203
Iganga, Buguri, and Mayuge [District: Uganda]
800204
Jinja [District: Uganda]
800205
Kamuli [District: Uganda]
800206
Kapchorwa [District: Uganda]
800208
Kumi [District: Uganda]
800209
Mbale and Sironko [District: Uganda]
800210
Pallisa [District: Uganda]
800211
Soroti, Katakwi, and Kaberamaido [District: Uganda]
800212
Busia and Tororo [District: Uganda]
800301
Moyo and Adjumani [District: Uganda]
800302
Apac [District: Uganda]
800303
Arua and Yumbe [District: Uganda]
800304
Gulu [District: Uganda]
800306
Kotido [District: Uganda]
800307
Lira [District: Uganda]
800308
Moroto and Nakapiripirit [District: Uganda]
800310
Nebbi [District: Uganda]
800312
Kitgum and Pader [District: Uganda]
800401
Bundibugyo [District: Uganda]
800403
Hoima [District: Uganda]
800404
Kabale [District: Uganda]
800405
Kabarole, Kamwenge, and Kyenjojo [District: Uganda]
800406
Kasese [District: Uganda]
800407
Kibaale [District: Uganda]
800408
Kisoro [District: Uganda]
800409
Masindi [District: Uganda]
800410
Bushenyi, Mbarara, and Ntungamo [District: Uganda]
800412
Rukungiri and Kanungu [District: Uganda]
800999
Unknown [District: Uganda]
804001
The Autonomous Republic of Crimea [Region: Ukraine]
804005
Vinnytska oblast [Region: Ukraine]
804007
Volynska oblast [Region: Ukraine]
804012
Dnipropetrovska oblast [Region: Ukraine]
804014
Donetska oblast [Region: Ukraine]
804018
Zhytomyrska oblast [Region: Ukraine]
804021
Zakarpatska oblast [Region: Ukraine]
804023
Zaporizka oblast [Region: Ukraine]
804026
Ivano-Frankivska oblast [Region: Ukraine]
804032
Kyivska oblast [Region: Ukraine]
804035
Kirovohradska oblast [Region: Ukraine]
804044
Luhanska oblast [Region: Ukraine]
804046
Lvivska oblast [Region: Ukraine]
804048
Mykolaivska oblast [Region: Ukraine]
804051
Odeska oblast [Region: Ukraine]
804053
Poltavska oblast [Region: Ukraine]
804056
Rivnenska oblast [Region: Ukraine]
804059
Sumska oblast [Region: Ukraine]
804061
Ternopilska oblast [Region: Ukraine]
804063
Kharkivska oblast [Region: Ukraine]
804065
Khersonska oblast [Region: Ukraine]
804068
Khmelnytska oblast [Region: Ukraine]
804071
Cherkaska oblast [Region: Ukraine]
804073
Chernivetska oblast [Region: Ukraine]
804074
Chernihivska oblast [Region: Ukraine]
804080
Kyiv [Region: Ukraine]
804085
Sevastopol [Region: Ukraine]
818001
Cairo [Governorate: Egypt]
818002
Alexandria [Governorate: Egypt]
818003
Port Said [Governorate: Egypt]
818004
Suez [Governorate: Egypt]
818011
Damietta [Governorate: Egypt]
818012
Dakahlia [Governorate: Egypt]
818013
Sharkia [Governorate: Egypt]
818014
Kaliobia [Governorate: Egypt]
818015
Kafr Sheikh [Governorate: Egypt]
818016
Gharbia [Governorate: Egypt]
818017
Menoufia [Governorate: Egypt]
818018
Behera [Governorate: Egypt]
818019
Ismailia [Governorate: Egypt]
818021
Giza [Governorate: Egypt]
818022
Bani Swif [Governorate: Egypt]
818023
Fayoum [Governorate: Egypt]
818024
Menia [Governorate: Egypt]
818025
Asiut [Governorate: Egypt]
818026
Sohag [Governorate: Egypt]
818027
Qena [Governorate: Egypt]
818028
Aswan [Governorate: Egypt]
818029
Luxor [Governorate: Egypt]
818031
Red Sea [Governorate: Egypt]
818032
New Valley [Governorate: Egypt]
818033
Marsa Matroh [Governorate: Egypt]
818034
North Sinai [Governorate: Egypt]
818035
South Sinai [Governorate: Egypt]
826011
North East [Region: United Kingdom]
826013
North West [Region: United Kingdom]
826014
Yorkshire and the Humber [Region: United Kingdom]
826021
East Midlands [Region: United Kingdom]
826022
West Midlands [Region: United Kingdom]
826031
East of England [Region: United Kingdom]
826032
South East and London [Region: United Kingdom]
826040
South West [Region: United Kingdom]
826060
Scotland [Region: United Kingdom]
826070
Wales [Region: United Kingdom]
826080
Northern Ireland [Region: United Kingdom]
834001
Dodoma [Region: Tanzania]
834003
Kilimanjaro [Region: Tanzania]
834004
Tanga [Region: Tanzania]
834005
Morogoro [Region: Tanzania]
834006
Pwani [Region: Tanzania]
834007
Dar es Salaam [Region: Tanzania]
834008
Lindi [Region: Tanzania]
834009
Mtwara [Region: Tanzania]
834010
Ruvumba [Region: Tanzania]
834011
Iringa [Region: Tanzania]
834012
Mbeya [Region: Tanzania]
834013
Singida [Region: Tanzania]
834014
Tabora [Region: Tanzania]
834015
Rukwa [Region: Tanzania]
834016
Kigoma [Region: Tanzania]
834017
Shinyanga [Region: Tanzania]
834018
Kagera [Region: Tanzania]
834019
Mwanza [Region: Tanzania]
834020
Mara [Region: Tanzania]
834021
Arusha and Manyara [Region: Tanzania]
834051
Zanzibar North [Region: Tanzania]
834052
Zanzibar South [Region: Tanzania]
834053
Zanzibar Town/West [Region: Tanzania]
834054
Pemba North [Region: Tanzania]
834055
Pemba South [Region: Tanzania]
840001
Alabama [State: U.S.]
840002
Alaska [State: U.S.]
840004
Arizona [State: U.S.]
840005
Arkansas [State: U.S.]
840006
California [State: U.S.]
840008
Colorado [State: U.S.]
840009
Connecticut [State: U.S.]
840010
Delaware [State: U.S.]
840011
District of Columbia [State: U.S.]
840012
Florida [State: U.S.]
840013
Georgia [State: U.S.]
840015
Hawaii [State: U.S.]
840016
Idaho [State: U.S.]
840017
Illinois [State: U.S.]
840018
Indiana [State: U.S.]
840019
Iowa [State: U.S.]
840020
Kansas [State: U.S.]
840021
Kentucky [State: U.S.]
840022
Louisiana [State: U.S.]
840023
Maine [State: U.S.]
840024
Maryland [State: U.S.]
840025
Massachusetts [State: U.S.]
840026
Michigan [State: U.S.]
840027
Minnesota [State: U.S.]
840028
Mississippi [State: U.S.]
840029
Missouri [State: U.S.]
840030
Montana [State: U.S.]
840031
Nebraska [State: U.S.]
840032
Nevada [State: U.S.]
840033
New Hampshire [State: U.S.]
840034
New Jersey [State: U.S.]
840035
New Mexico [State: U.S.]
840036
New York [State: U.S.]
840037
North Carolina [State: U.S.]
840038
North Dakota [State: U.S.]
840039
Ohio [State: U.S.]
840040
Oklahoma [State: U.S.]
840041
Oregon [State: U.S.]
840042
Pennsylvania [State: U.S.]
840044
Rhode Island [State: U.S.]
840045
South Carolina [State: U.S.]
840046
South Dakota [State: U.S.]
840047
Tennessee [State: U.S.]
840048
Texas [State: U.S.]
840049
Utah [State: U.S.]
840050
Vermont [State: U.S.]
840051
Virginia [State: U.S.]
840053
Washington [State: U.S.]
840054
West Virginia [State: U.S.]
840055
Wisconsin [State: U.S.]
840056
Wyoming [State: U.S.]
840099
State not identified [State: U.S.]
854001
Boucle du Mouhoun [Region: Burkina Faso]
854002
Cascades [Region: Burkina Faso]
854003
Centre [Region: Burkina Faso]
854004
Centre-Est [Region: Burkina Faso]
854005
Centre-Nord [Region: Burkina Faso]
854006
Centre-Ouest [Region: Burkina Faso]
854007
Centre-Sud [Region: Burkina Faso]
854008
Est [Region: Burkina Faso]
854009
Hauts-Bassins [Region: Burkina Faso]
854010
Nord [Region: Burkina Faso]
854011
Plateau Central [Region: Burkina Faso]
854012
Sahel [Region: Burkina Faso]
854013
Sud-Ouest [Region: Burkina Faso]
858001
Montevideo [Department: Uruguay]
858002
Artigas [Department: Uruguay]
858003
Canelones [Department: Uruguay]
858004
Cerro Largo [Department: Uruguay]
858005
Colonia [Department: Uruguay]
858006
Durazno [Department: Uruguay]
858007
Flores [Department: Uruguay]
858008
Florida [Department: Uruguay]
858009
Lavalleja [Department: Uruguay]
858010
Maldonado [Department: Uruguay]
858011
Paysandú [Department: Uruguay]
858012
RÃo Negro [Department: Uruguay]
858013
Rivera [Department: Uruguay]
858014
Rocha [Department: Uruguay]
858015
Salto [Department: Uruguay]
858016
San Jose [Department: Uruguay]
858017
Soriano [Department: Uruguay]
858018
Tacuarembó [Department: Uruguay]
858019
Treinta Y Tres [Department: Uruguay]
862001
Federal District, Vargas [State: Venezuela]
862002
Amazonas Federal Territory [State: Venezuela]
862003
Anzoátegui [State: Venezuela]
862004
Apure [State: Venezuela]
862005
Aragua [State: Venezuela]
862007
BolÃvar [State: Venezuela]
862008
Carabobo [State: Venezuela]
862009
Cojedes [State: Venezuela]
862010
Amacuros Delta Federal Territory [State: Venezuela]
862011
Falcón [State: Venezuela]
862012
Guárico [State: Venezuela]
862013
Lara [State: Venezuela]
862014
Barinas, Mérida [State: Venezuela]
862015
Miranda [State: Venezuela]
862016
Monagas [State: Venezuela]
862017
Nueva Esparta, Federal Dependencies [State: Venezuela]
862018
Portuguesa [State: Venezuela]
862019
Sucre [State: Venezuela]
862020
Táchira [State: Venezuela]
862021
Trujillo [State: Venezuela]
862022
Yaracuy [State: Venezuela]
862023
Zulia [State: Venezuela]
894001
Central [Province: Zambia]
894002
Copperbelt [Province: Zambia]
894003
Eastern, Muchinga, Northern [Province: Zambia]
894004
Luapula [Province: Zambia]
894005
Lusaka [Province: Zambia]
894008
North Western [Province: Zambia]
894009
Southern [Province: Zambia]
894010
Western [Province: Zambia]
GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
All households
This variable indicates dwelling number.
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
30
30
This variable indicates number of persons in household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
All households
No problem
1
Yes: households within a large dwelling were split apart into separate dwellings
2
Yes: persons within a large household were split apart into separate dwellings
This variable indicates whether dwelling is created by splitting apart a large dwelling or household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Donated dwelling
Donated dwelling
Donated dwelling
Donated dwelling
Donated dwelling
Donated dwelling
All households
No problem
1
Donated
This variable indicates if there is a problem with donated dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Donation strata: strata number
Donation strata: strata number
Donation strata: strata number
Donation strata: strata number
Donation strata: strata number
Donation strata: strata number
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
This variable indicates strata number of donation strata.
Technical Household Variables -- HOUSEHOLD
IPUMS
Region
Region
Region
Region
Region
a. Address ____
_ _ Region
_ _ Province
_ _ District
_ _ Subdistrict
Part 1: Location of Household
a) House number, road, lane, waterway, housing vicinity (name of the place, if any)
Record the location of the household including house number, name of the road, lane, waterway, housing vicinity. If that place has a name, record the name as well. For example, 301 Sirimitr Shop, Bamrunmuang Road, Soi [lane] Ratchasi, or 44 Bangluang canal, etc.
All households
1
Bangkok Metropolis
2
Central
3
Northeastern
4
Southern
5
Northern
This variable indicates the region where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Province
Province
Province
Province
Province
a. Address ____
_ _ Region
_ _ Province
_ _ District
_ _ Subdistrict
Part 1: Location of Household
a) House number, road, lane, waterway, housing vicinity (name of the place, if any)
Record the location of the household including house number, name of the road, lane, waterway, housing vicinity. If that place has a name, record the name as well. For example, 301 Sirimitr Shop, Bamrunmuang Road, Soi [lane] Ratchasi, or 44 Bangluang canal, etc.
All households
1
Bangkok Metropolis
2
Krabi
3
Kanchanaburi
4
Kalasin
5
Kamphaeng Phet
6
Khon Kaen
7
Chanthaburi
8
Chachoengsao
9
Chon Buri
10
Chainat
11
Chaiyaphum
12
Chumphon
13
Chiang Rai
14
Chiang Mai
15
Trang
16
Trat
17
Tak
18
Nakhon Nayok
19
Nakhon Pathom
20
Nakhon Phanom
21
Nakhon Ratchasima
22
Nakhon Si Thammarat
23
Nakhon Sawan
24
Nonthaburi
25
Narathiwat
26
Nan
27
Buri Ram
28
Pathum Thani
29
Prachuap Khiri Khan
30
Prachin Buri
31
Pattani
32
Ayutthaya
33
Phayao
34
Phang Nga
35
Phatthalung
36
Phichit
37
Phitsanulok
38
Petchaburi
39
Petchabun
40
Phrae
41
Phuket
42
Maha Sarakam
43
Mukdahan
44
Mae Hong Son
45
Yasothon
46
Yala
47
Roi Et
48
Ranong
49
Rayong
50
Ratchaburi
51
Lop Buri
52
Lampang
53
Lamphun
54
Loei
55
Si Sa Ket
56
Sakon Nakhon
57
Songkhla
58
Satun
59
Samut Prakan
60
Samut Songkhram
61
Samut Sakhon
62
Saraburi
63
Sing Buri
64
Sukhothai
65
Suphan Buri
66
Surat Thani
67
Surin
68
Nong Khai
69
Angthong
70
Udon Thani
71
Uttaradit
72
Uthai Thani
73
Ubon Ratchathani
This variable indicates the province where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Area
Area
Area
Area
Area
b. This house is in
[] 1 Municipal Area
Name of M.A. ____
[] 2 Sanitary District
Name of S.D. ____
[] 4 Outside M.A. or S.D.
Part 1: Location of Household
b) Municipality and Sanitation district
If the house is in a municipal area, record Code 1 in column 8 and the name of the municipality.
If the house is outside a municipal area but inside a sanitation district, record Code 2 in column 8 and the name of the sanitation district.
If this house is outside a municipal area and outside a sanitation district, record Code 4 in column 8.
All households
1
Municipal Area
2
Sanitary District
3
Outside M.A. or S.D.
This variable indicates whether the household is located within Municipal area.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Number of Sanitary Districts in Tambon (Non-Municipal)
Number of Sanitary Districts in Tambon (Non-Municipal)
Number of Sanitary Districts in Tambon (Non-Municipal)
Number of Sanitary Districts in Tambon (Non-Municipal)
Number of Sanitary Districts in Tambon (Non-Municipal)
b. This house is in
[] 1 Municipal Area
Name of M.A. ____
[] 2 Sanitary District
Name of S.D. ____
[] 4 Outside M.A. or S.D.
Part 1: Location of Household
b) Municipality and Sanitation district
If the house is in a municipal area, record Code 1 in column 8 and the name of the municipality.
If the house is outside a municipal area but inside a sanitation district, record Code 2 in column 8 and the name of the sanitation district.
If this house is outside a municipal area and outside a sanitation district, record Code 4 in column 8.
All households in Sanitary Districts
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
8
Unknown
This variable indicates number of Sanitary District in Tambon (non-Municipal area).
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Type of living quarter
Type of living quarter
Type of living quarter
Type of living quarter
Type of living quarter
f. Type of living quarter
[] 01 Detached house
[] 02 Town house
Apartment, Flat and others
[] 03 Apartment
[] 04 Flat
[] 05 Condominium
[] 06 Others
[] 07 Row house
[] 08 Concrete raw house
[] 09 Office room
[] 10 Mobile
[] 11 Other living quarters
[] 12 Temple (Wat)
[] 13 Jail
[] 14 Welfare lodging
[] 15 Hospital
[] 16 Boarding school
[] 17 Military barrack
[] 18 Hotel
[] 19 Boarding house and others
f) Type of living quarter
Consider the type of living quarter from the characteristics of the living place (see the explanations on types of living quarter from the housing section (No.1) in the chapter on definition). Record the code for the type of living quarter in columns 19-20.
Private household: record codes 01-11 in columns 19-20 by using only one code.
Collective household: record codes 12-19 in columns 19-20 by using only one code.
All households
1
Detached house
2
Town house
3
Apartment
4
Flat
5
Condominium
6
Others
7
Row house
8
Concrete row house
9
Office room
10
Mobile
11
Other living quarters
12
Temple (Wat)
13
Jail
14
Welfare lodging
15
Hospital
16
Boarding school
17
Military barrack
18
Hotel
19
Boarding house and others
This variable indicates the type of living quarter.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Wall construction materials
Wall construction materials
Wall construction materials
Wall construction materials
Wall construction materials
g. Type of construction materials
(For type of living quarter appeared in F codes 01-08.)
[] 1 Concrete or brick
[] 2 Wood, concrete or brick (mixed)
[] 3 Wood
[] 4 Local materials
[] 5 Reused materials
g) Characteristics of living quarter
[only for households that record code 01-08 in f]
Record the code for the characteristics of living quarter in column 21 (See explanation from the housing section (3) in the chapter on definition).
Note: If there are several living quarters for one household, consider the type and characteristics of living quarter (for f and g) from the place where the head of household lives.
Households living in private living quarters
1
Cement or brick
2
Wood, concrete, or brick (mixed)
3
Wood
4
Local materials
5
Reused materials
8
Unknown
9
NIU (not in universe)
This variable indicates the type of construction materials of the living quarter.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Type of household
Type of household
Type of household
Type of household
Type of household
h. Type of household
[] 1 Private household
[] 2 Collective household
h) Type of household
If the household is a private household, record Code 1 in column 22.
If the household is a collective household, record Code 2 in column 22.
All households
1
Private household
2
Collective household
This variable indicates the type of household.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Language usually spoken in household
Language usually spoken in household
Language usually spoken in household
Language usually spoken in household
Language usually spoken in household
k. Language usually spoken in this household
[] 1 Thai only (skip to Part II)
[] 2 Thai and other languages; specify other languages____
[] 3 Other languages only; specify other languages____
k) Language used in conversation among household members
Spoken language means the language in which the persons in the household use for regular conversations. This language may or may not be different from the language that the household members speak to other persons. If the basic language is the same, count only the basic language as the spoken language. For example, the Northern dialect (excluding the hill tribe language), southern dialect (excluding the Malay and Yavee languages), Northeastern dialect (excluding Suai dialect and Khemer language) are counted as Thai language. The Hakka, Mandarin, Cantonese are counted as Chinese language.
The question that should be asked is: "What is the language in which people in this household regularly speak?":
[] 1 If they speak the Thai language only [in column 31]
[] 2 If they speak the Thai language and another language [in column 31]
[] 3 If they speak another language without speaking Thai [in column 31]
If record Code 1, skip to Part 2, questions on demography.
If record Code 2 or Code 3, specify that other language.
[Omit an example on page 78.]
All households
1
Thai
2
Thai with other language
3
Other language
This variable indicates the language usually spoken in household.
Other Household Variables -- HOUSEHOLD
IPUMS
Other languages spoken in household
Other languages spoken in household
Other languages spoken in household
Other languages spoken in household
Other languages spoken in household
k. Language usually spoken in this household
[] 1 Thai only (skip to Part II)
[] 2 Thai and other languages; specify other languages____
[] 3 Other languages only; specify other languages____
k) Language used in conversation among household members
Spoken language means the language in which the persons in the household use for regular conversations. This language may or may not be different from the language that the household members speak to other persons. If the basic language is the same, count only the basic language as the spoken language. For example, the Northern dialect (excluding the hill tribe language), southern dialect (excluding the Malay and Yavee languages), Northeastern dialect (excluding Suai dialect and Khemer language) are counted as Thai language. The Hakka, Mandarin, Cantonese are counted as Chinese language.
The question that should be asked is: "What is the language in which people in this household regularly speak?":
[] 1 If they speak the Thai language only [in column 31]
[] 2 If they speak the Thai language and another language [in column 31]
[] 3 If they speak another language without speaking Thai [in column 31]
If record Code 1, skip to Part 2, questions on demography.
If record Code 2 or Code 3, specify that other language.
[Omit an example on page 78.]
Households speaking other languanges
1
Japanese
2
Chinese
3
Malaysia, Yawi
4
Burma
5
Cambodia
6
Laos-Vietnamese
7
English
8
Western language
9
Tai
10
Lahu
11
Lisu
12
Akha
13
Khamu
14
Lua (Lawa)
15
Htin
16
Karen
17
Meo (Hmong)
18
Yao
19
Yunnanese Chinese
20
India
21
Others
98
Unknown
99
NIU (not in universe)
This variable indicates the other languages spoken in the household.
Other Household Variables -- HOUSEHOLD
IPUMS
Type of living quarter for private household
Type of living quarter for private household
Type of living quarter for private household
Type of living quarter for private household
Type of living quarter for private household
Part III Housing questions (for private household)
H1. Type of living quarter
[] 01 Detached house
[] 02 Town house
[] Apartment, flat and others
[] 03 Apartment
[] 04 Flat
[] 05 Condominium
[] 06 Others
[] 07 Row house
[] 08 Concrete row house
[] 09 Room
[] 10 Office room
[] 11 Mobile
[] 12 Others
H1. Type of living quarter of this household (consider from the house)
[] 01 Single house
[] 02 Town house
[] 03 Suite, apartment
[] 04 Flat
[] 05 Condominium
[] 06 Others
[] 07 Row house
[] 08 Row building
[] 09 Room (within a house)
[] 10 Office room
[] 11 Boat, floating house, or automobile
[] 12 Other living quarters
Private households
1
Single house
2
Town house
3
Suite, apartment
4
Flat
5
Condominium
6
Other
7
Row house
8
Row building
9
Room (within a house)
10
Office room
11
Boat, floating house, or automobile
12
Other living quarters
98
Unknown
99
NIU (not in universe)
This variable indicates type of living quarter for private households.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Uses of living quarter
Uses of living quarter
Uses of living quarter
Uses of living quarter
Uses of living quarter
Part III Housing questions (for private household)
H2. Is this living quarter
[] 1 Used for business or commercial purpose
[] 2 Do not use for business or commercial purpose
H2. The use of the living quarter for business purpose
[] 1 If it is used for business purpose
[] 2 If it is not used for business purpose
Private households
1
Business uses
2
Not for business uses
98
Unknown
99
NIU (not in universe)
This variable indicates if the living quarter is used for any commercial purpose.
Household Economic Variables -- HOUSEHOLD
IPUMS
Tenure of living quarter (excluding land)
Tenure of living quarter (excluding land)
Tenure of living quarter (excluding land)
Tenure of living quarter (excluding land)
Tenure of living quarter (excluding land)
Part III Housing questions (for private household)
H3. Tenure of living quarter (excluding land)
[] 1 Owner (skip to H7)
[] 2 Hire purchaser (skip to H7)
[] 3 Rent (Ask H4, H5, H6 respectively)
[] Rent free because
[] 4 Part of salary (skip to H6)
[] 5 In-kind (skip to H6)
H3. The ownership of the living quarter of this household (excluding land ownership)
Ask: "What is the property ownership status of the household member?"
[] 1 Owner
[] 2 Hire-purchasing
[] 3 Rent
Rent free because:
[] 4 Part of salaries
[] 5 In-kind benefits
Private households
NIU (not in universe)
1
Owner
2
Hire purchaser
3
Rent
4
Payment in kind for service
5
Rent free
9
Unknown
This variable indicates the ownership status (excluding the land) of the living quarter.
Household Economic Variables -- HOUSEHOLD
IPUMS
Rent per month
Rent per month
Rent per month
Rent per month
Rent per month
Part III Housing questions (for private household)
H3. Tenure of living quarter (excluding land)
[] 1 Owner (skip to H7)
[] 2 Hire purchaser (skip to H7)
[] 3 Rent (Ask H4, H5, H6 respectively)
[] Rent free because
[] 4 Part of salary (skip to H6)
[] 5 In-kind (skip to H6)
H4. (If rent or record code 3 in H3)
How much is monthly rent (in baht)? _ _ _ _ _
H3. The ownership of the living quarter of this household (excluding land ownership)
Ask: "What is the property ownership status of the household member?"
[] 1 Owner
[] 2 Hire-purchasing
[] 3 Rent
Rent free because:
[] 4 Part of salaries
[] 5 In-kind benefits
H4. Rent
[Only for households that record code 3, which is "rent" in H3]
Ask: "How much rent do you pay each month?"
Record the monetary amount of rent per month in _ _ _ _ _ using a 5-digit number.
Private households renting the living quarters
This variable indicates the rent per month of the living quarter.
Household Economic Variables -- HOUSEHOLD
IPUMS
Advanced payment
Advanced payment
Advanced payment
Advanced payment
Advanced payment
Part III Housing questions (for private household)
H3. Tenure of living quarter (excluding land)
[] 1 Owner (skip to H7)
[] 2 Hire purchaser (skip to H7)
[] 3 Rent (Ask H4, H5, H6 respectively)
[] Rent free because
[] 4 Part of salary (skip to H6)
[] 5 In-kind (skip to H6)
H5. (If rent or record code 3 in H3)
Is there any advance payment?
[] 1 Yes
[] 2 No
H3. The ownership of the living quarter of this household (excluding land ownership)
Ask: "What is the property ownership status of the household member?"
[] 1 Owner
[] 2 Hire-purchasing
[] 3 Rent
Rent free because:
[] 4 Part of salaries
[] 5 In-kind benefits
H5. Advance payment (only for households that record code 3, which is "rent" in H3)
Ask: "Do you pay any advance payment?"
[] 1 Yes
[] 2 No
Private households renting the living quarters
1
Yes
2
No
8
Unknown
9
NIU
This variable indicates if an advanced payment was made for the living quarter.
Household Economic Variables -- HOUSEHOLD
IPUMS
Dwelling owner
Dwelling owner
Dwelling owner
Dwelling owner
Dwelling owner
Part III Housing questions (for private household)
H3. Tenure of living quarter (excluding land)
[] 1 Owner (skip to H7)
[] 2 Hire purchaser (skip to H7)
[] 3 Rent (Ask H4, H5, H6 respectively)
[] Rent free because
[] 4 Part of salary (skip to H6)
[] 5 In-kind (skip to H6)
H6. (If rent or rent free, record code 3,4,5 in H3)
Who is the owner of this house?
[] 1 Government property
[] 2 Religious organization
[] 3 Government, government enterprise
[] 4 Private
[] 5 Others
H3. The ownership of the living quarter of this household (excluding land ownership)
Ask: "What is the property ownership status of the household member?"
[] 1 Owner
[] 2 Hire-purchasing
[] 3 Rent
Rent free because:
[] 4 Part of salaries
[] 5 In-kind benefits
H6. The owner of the living quarter
[only for households that record codes 3, 4, or 5, in H3, which is "rent" or "rent free"]
Ask: "Who is the owner of the living quarter?"
[] 1 Government property
[] 2 Religion organization
[] 3 Government, government enterprise
[] 4 Private sector
[] 5 Others
Private households that rent or rent-free the living quarters
1
Government property
2
Religious organization
3
Government or state enterprise
4
Private
5
Others
8
Unknown
9
NIU (not in universe)
This variable indicates the owner of the dwelling.
Household Economic Variables -- HOUSEHOLD
IPUMS
Land ownership
Land ownership
Land ownership
Land ownership
Land ownership
Part III Housing questions (for private household)
H3. Tenure of living quarter (excluding land)
[] 1 Owner (skip to H7)
[] 2 Hire purchaser (skip to H7)
[] 3 Rent (Ask H4, H5, H6 respectively)
[] Rent free because
[] 4 Part of salary (skip to H6)
[] 5 In-kind (skip to H6)
H7. (If owner or hire purchaser, record code 1,2 in H3)
Who owns the land for this household?
[] 1 Owner
[] 2 Hire purchaser
[] 3 Rent
[] 4 Rent free
[] 5 Others
H3. The ownership of the living quarter of this household (excluding land ownership)
Ask: "What is the property ownership status of the household member?"
[] 1 Owner
[] 2 Hire-purchasing
[] 3 Rent
Rent free because:
[] 4 Part of salaries
[] 5 In-kind benefits
H7. The ownership of land
[Only for households who record code 1 or 2, which is "owner" or "rent-purchasing" in H3]
Ask: "Does a member of this household own, hire-purchase, rent, or rent-free this land?"
[] 1 Own
[] 2 Hire purchase
[] 3 Rent
[] 4 Rent free
[] 5 Others
Private households owning the living quarters
1
Owner
2
Hire purchaser
3
Rent
4
No payment
5
Other
8
Unknown
9
NIU (not in universe)
This variable indicates land ownership of the household.
Household Economic Variables -- HOUSEHOLD
IPUMS
Owner of land
Owner of land
Owner of land
Owner of land
Owner of land
Part III Housing questions (for private household)
H3. Tenure of living quarter (excluding land)
[] 1 Owner (skip to H7)
[] 2 Hire purchaser (skip to H7)
[] 3 Rent (Ask H4, H5, H6 respectively)
[] Rent free because
[] 4 Part of salary (skip to H6)
[] 5 In-kind (skip to H6)
H8. (If rent or rent free, record 3,4,5 in H7)
Who's the owner of the land?
[] 1 Government property
[] 2 Religious organization
[] 3 Government, government enterprise
[] 4 Private
[] 5 Others
H7. The ownership of land
[Only for households who record code 1 or 2, which is "owner" or "rent-purchasing" in H3]
Ask: "Does a member of this household own, hire-purchase, rent, or rent-free this land?"
[] 1 Own
[] 2 Hire purchase
[] 3 Rent
[] 4 Rent free
[] 5 Others
H8. Land owner
[Only for households that record codes 3, 4, or 5, in H3, which is "rent" or "rent free" in H7]
Ask: "Who is the owner of the land?"
[] 1 Government property
[] 2 Religion organization
[] 3 Government, government enterprise
[] 4 Private sector
[] 5 Others
Private households that rent or rent-free the land
1
Government property
2
Religious organization
3
Government or state enterprise
4
Private
5
Others
8
Unknown
9
NIU
This variable indicates the owner of land of the dwelling.
Household Economic Variables -- HOUSEHOLD
IPUMS
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Part III Housing questions (for private household)
H9. Numbers of rooms used for sleeping
Number of bedrooms _ _
Number of other rooms used for sleeping _ _
H9. Number of rooms used for sleeping
Ask: "How many rooms in this house are bedrooms and rooms used for sleeping?"
Record the number of bedrooms and other rooms used for sleeping by the household in the space that corresponds to the type of the room.
If there are many households within the same house, count only bedrooms and other rooms used for sleeping of that particular household only.
If a household lives in many houses, count the total number of bedrooms and other rooms used for sleeping in all houses.
If there is no bedroom, record "0".
Each household must have at least one room used for sleeping. If there is no partition for rooms within the house, record "1" in the space corresponding to other room used for sleeping (see the definition of room from number 8 of the housing section in the definition chapter).
If there are 8 bedrooms or more, record "8" in the space corresponding to bedroom.
Private households
None
1
One room
2
Two rooms
3
Three rooms
4
Four rooms
5
Five rooms
6
Six rooms
7
Seven rooms
8
Eight rooms or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of bedrooms in the living quarter.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of other rooms
Number of other rooms
Number of other rooms
Number of other rooms
Number of other rooms
Part III Housing questions (for private household)
H9. Numbers of rooms used for sleeping
Number of bedrooms _ _
Number of other rooms used for sleeping _ _
H9. Number of rooms used for sleeping
Ask: "How many rooms in this house are bedrooms and rooms used for sleeping?"
Record the number of bedrooms and other rooms used for sleeping by the household in the space that corresponds to the type of the room.
If there are many households within the same house, count only bedrooms and other rooms used for sleeping of that particular household only.
If a household lives in many houses, count the total number of bedrooms and other rooms used for sleeping in all houses.
If there is no bedroom, record "0".
Each household must have at least one room used for sleeping. If there is no partition for rooms within the house, record "1" in the space corresponding to other room used for sleeping (see the definition of room from number 8 of the housing section in the definition chapter).
If there are 8 bedrooms or more, record "8" in the space corresponding to bedroom.
Private households
None
1
One room
2
Two rooms
3
Three rooms
4
Four rooms
5
Five rooms
6
Six rooms
7
Seven rooms
8
Eight rooms or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of other rooms used for sleeping in the living quarter.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Type of drinking water
Type of drinking water
Type of drinking water
Type of drinking water
Type of drinking water
Part III Housing questions (for private household)
H10. What kind of drinking water is used in this household?
[] 1 Piped water, inside
[] 2 Piped water, outside
[] 3 Public well
[] 4 Private well
[] 5 Rain water
[] 6 River, canal, stream, waterfall
[] 7 Bottled drinking
[] 8 Others
H10. Drinking water
Ask: "Where is the drinking water mostly from?"
If the drinking water comes from many sources, consider the source from which the household uses water for drinking the most as the only answer.
[] 1 Piped water inside the house
[] 2 Piped water outside the house
[] 3 Public well
[] 4 Private well
[] 5 Rain water
[] 6 River, canal, stream, waterfall
[] 7 Bottled water
[] 8 Others
Piped water inside the house means the water that is already linked to the water pipe inside the house.
Piped water outside the house means the water that has to be brought to the water pipe inside the house by connecting from other house or from the public water supply outside the house.
Bottled water means the drinking water that has passed the antiseptically process either by the disinfection or other method of water purification.
Private households
NIU (not in universe)
1
Piped water, inside
2
Piped water, outside
3
Public well
4
Private well
5
Rain water
6
River, canal, stream, waterfall
7
Bottle water
8
Others
9
Unknown
This variable indicates the source of drinking water for the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Type of water supply (major use)
Type of water supply (major use)
Type of water supply (major use)
Type of water supply (major use)
Type of water supply (major use)
Part III Housing questions (for private household)
H11. What kind of water is used in this household? If use only one source, recode 'code' in the first and '0' in the second)
Major use
[] 1 Piped water, inside
[] 2 Piped water, outside
[] 3 Public well
[] 4 Private well
[] 5 Rain water
[] 6 River, canal, stream, waterfall
[] 7 Others
Minor use
[] 1 Piped water, inside
[] 2 Piped water, outside
[] 3 Public well
[] 4 Private well
[] 5 Rain water
[] 6 River, canal, stream, waterfall
[] 7 Others
H11. Water for use
Ask: "Where is the water for use mostly from?"
If the water for use is from one source, record the code of the water source in the first space and "0" in the second space.
If the water for use is from many sources, record the code of the major source in the first space, and the code of the minor source in the second space.
If the major water source is others, record "7" in the first space and "0" in the second space.
Major use - Minor use
Piped water inside the house - 1-1
Piped water outside the house - 2-2
Public well - 3-3
Private well - 4-4
Rain water - 5-5
River, canal, stream, waterfall - 6-6
Others - 7-7
Example: If the household uses the water mostly from the piped water inside the house and uses rain water as the second most, then record "15".
Private households
NIU (not in universe)
1
Piped water, inside
2
Piped water, outside
3
Public well
4
Private well
5
Rain water
6
River, canal, stream, waterfall
7
Others
9
Unknown
This variable indicates the major type of water supply for the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Type of water supply (minor use)
Type of water supply (minor use)
Type of water supply (minor use)
Type of water supply (minor use)
Type of water supply (minor use)
Part III Housing questions (for private household)
H11. What kind of water is used in this household? If use only one source, recode 'code' in the first and '0' in the second)
Major use
[] 1 Piped water, inside
[] 2 Piped water, outside
[] 3 Public well
[] 4 Private well
[] 5 Rain water
[] 6 River, canal, stream, waterfall
[] 7 Others
Minor use
[] 1 Piped water, inside
[] 2 Piped water, outside
[] 3 Public well
[] 4 Private well
[] 5 Rain water
[] 6 River, canal, stream, waterfall
[] 7 Others
H11. Water for use
Ask: "Where is the water for use mostly from?"
If the water for use is from one source, record the code of the water source in the first space and "0" in the second space.
If the water for use is from many sources, record the code of the major source in the first space, and the code of the minor source in the second space.
If the major water source is others, record "7" in the first space and "0" in the second space.
Major use - Minor use
Piped water inside the house - 1-1
Piped water outside the house - 2-2
Public well - 3-3
Private well - 4-4
Rain water - 5-5
River, canal, stream, waterfall - 6-6
Others - 7-7
Example: If the household uses the water mostly from the piped water inside the house and uses rain water as the second most, then record "15".
Private households
None
1
Piped water, inside
2
Piped water, outside
3
Public well
4
Private well
5
Rain water
6
River, canal, stream, waterfall
7
Others
98
Unknown
99
NIU (not in universe)
This variable indicates the minor type of water supply for the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Type of lighting
Type of lighting
Type of lighting
Type of lighting
Type of lighting
Part III Housing questions (for private household)
H12. What kind of light is used in this household?
[] 1 Electricity
[] 2 Pressure lamp
[] 3 Oil lamp
[] 4 Others
H12. Light use
Ask: "What kind of light is used in this household?"
[] 1 Electricity
[] 2 Pressure lamp
[] 3 Oil lamp
[] 4 Others
Private households
1
Electricity
2
Pressure lamp
3
Oil lamp
4
Others
8
Unknown
9
NIU (not in universe)
This variable indicates the type of lighting used by the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Type of toilet
Type of toilet
Type of toilet
Type of toilet
Type of toilet
Part III Housing questions (for private household)
H13. What kind of toilet is used in this household?
Flush
[] 1 Exclusive
[] 2 Shared
Moulded bucket latrine
[] 3 Exclusive
[] 4 Shared
Flush and moulded bucket latrine
[] 5 Exclusive
[] 6 Shared
[] 7 Pit others
[] 8 None
H13. Toilet
Ask: "What type of toilet facility is normally used in this household?"
Record the following codes:
Flush
[] 1 Exclusively used within the household
[] 2 Shared with other households
Molded bucket latrine
[] 3 Exclusively used within the household
[] 4 Shared with other households
Flush and molded bucket latrine
[] 5 Exclusively used within the household
[] 6 Shared with other households
[] 7 Pit or others
[] 8 No toilet
Private households
NIU (not in universe)
1
Flush, exclusive
2
Flush, shared
3
Moulded bucket latrine, exclusive
4
Moulded bucket latrine, shared
5
Flush and moulded latrine, exclusive
6
Flush and moulded latrine, shared
7
Pits and others
8
None
9
Unknown
This variable indicates the type of toilet used by the household.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Location of kitchen
Location of kitchen
Location of kitchen
Location of kitchen
Location of kitchen
Part III Housing questions (for private household)
H14. Where [place] does the household cook?
Kitchen
[] 1 Exclusive
[] 2 Shared
[] 3 Terrace, Veranda
[] 4 Others
[] 5 Not cooking (skip to H16)
H14. Place used for cooking
Ask: "Which place does the household normally use for cooking?" Record the following codes:
Kitchen
[] 1 Exclusively used within the household
[] 2 Shared with other households
[] 3 Terrace, porch
[] 4 Others
[] 5 Not cooking
If recording "5", skip to question H16.
Private households
NIU (not in universe)
1
Kitchen, exclusive
2
Kitchen, shared
3
Terrace, veranda
4
Others
5
Not cooking
9
Unknown
This variable indicates the location of the kitchen used by the household.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Type of cooking fuel (major use)
Type of cooking fuel (major use)
Type of cooking fuel (major use)
Type of cooking fuel (major use)
Type of cooking fuel (major use)
Part III Housing questions (for private household)
H15. What kind of cooking fuel is used in this household?
If use only one kind, recode 'code' in the first and '0' in the second)
Major use
[] 1 Charcoal
[] 2 Wood
[] 3 Gas
[] 4 Electricity
[] 5 Kerosene
[] 6 Others
Minor use
[] 1 Charcoal
[] 2 Wood
[] 3 Gas
[] 4 Electricity
[] 5 Kerosene
[] 6 Others
H15. Fuel for good preparation
Ask: "In this household, what is the major type of fuel used for food preparation?"
If using one type of fuel, record the code of fuel in the first space and "0" in the second space.
If using more than one type of fuel, record the code of the major fuel use in the first space, and the code of the minor fuel use in the second space.
If the fuel used the most is other, record code "6" in the first space, and code "0" in the second space.
Major use - Minor use
Coal - 1-1
Wood - 2-2
Gas - 3-3
Electricity - 4-4
Kerosene - 5-5
Other - 6-6
Example: if the household uses coal the most and electricity as a secondary fuel, record 14.
Private households that have kitchen
None
1
Charcoal
2
Wood
3
Gas
4
Electricity
5
Kerosene
6
Others
8
Unknown
9
NIU (not in universe)
This variable indicates the major type of cooking fuel in the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Type of cooking fuel (minor use)
Type of cooking fuel (minor use)
Type of cooking fuel (minor use)
Type of cooking fuel (minor use)
Type of cooking fuel (minor use)
Part III Housing questions (for private household)
H15. What kind of cooking fuel is used in this household?
If use only one kind, recode 'code' in the first and '0' in the second)
Major use
[] 1 Charcoal
[] 2 Wood
[] 3 Gas
[] 4 Electricity
[] 5 Kerosene
[] 6 Others
Minor use
[] 1 Charcoal
[] 2 Wood
[] 3 Gas
[] 4 Electricity
[] 5 Kerosene
[] 6 Others
H15. Fuel for good preparation
Ask: "In this household, what is the major type of fuel used for food preparation?"
If using one type of fuel, record the code of fuel in the first space and "0" in the second space.
If using more than one type of fuel, record the code of the major fuel use in the first space, and the code of the minor fuel use in the second space.
If the fuel used the most is other, record code "6" in the first space, and code "0" in the second space.
Major use - Minor use
Coal - 1-1
Wood - 2-2
Gas - 3-3
Electricity - 4-4
Kerosene - 5-5
Other - 6-6
Example: if the household uses coal the most and electricity as a secondary fuel, record 14.
Private households that have kitchen
None
1
Charcoal
2
Wood
3
Gas
4
Electric
5
Kerosene
6
Others
8
Unknown
9
NIU (not in universe)
This variable indicates the minor type of cooking fuel used in the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Radio
Radio
Radio
Radio
Radio
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of radios owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Color television
Color television
Color television
Color television
Color television
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of color televisions owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Black and white television
Black and white television
Black and white television
Black and white television
Black and white television
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of black and white television sets owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Video tape appliance
Video tape appliance
Video tape appliance
Video tape appliance
Video tape appliance
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
The variable indicates the number of video cassette recorders owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Electric iron
Electric iron
Electric iron
Electric iron
Electric iron
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of electric irons owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Electric rice cooker
Electric rice cooker
Electric rice cooker
Electric rice cooker
Electric rice cooker
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates number of electric rice cookers owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Electric fan
Electric fan
Electric fan
Electric fan
Electric fan
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of electric fans owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Sewing machine
Sewing machine
Sewing machine
Sewing machine
Sewing machine
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of sewing machines owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Vacuum cleaner
Vacuum cleaner
Vacuum cleaner
Vacuum cleaner
Vacuum cleaner
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of vacuum cleaners owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Refrigerator
Refrigerator
Refrigerator
Refrigerator
Refrigerator
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates number of refrigerators owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Washing machine
Washing machine
Washing machine
Washing machine
Washing machine
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of washing machines owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Air conditioner
Air conditioner
Air conditioner
Air conditioner
Air conditioner
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of air conditioners owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Telephone
Telephone
Telephone
Telephone
Telephone
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of telephones owned by the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Bicycle
Bicycle
Bicycle
Bicycle
Bicycle
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of bicycles owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Motorcycle
Motorcycle
Motorcycle
Motorcycle
Motorcycle
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of motorcycles owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Car
Car
Car
Car
Car
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of cars owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Engine operated boats
Engine operated boats
Engine operated boats
Engine operated boats
Engine operated boats
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of engine operated boats owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Water pumps
Water pumps
Water pumps
Water pumps
Water pumps
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of water pumps owned by the household.
Household Economic Variables -- HOUSEHOLD
IPUMS
Plough machine
Plough machine
Plough machine
Plough machine
Plough machine
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of plough machines owned by the household.
Household Economic Variables -- HOUSEHOLD
IPUMS
Local farm truck
Local farm truck
Local farm truck
Local farm truck
Local farm truck
Part III Housing questions (for private household)
H16. Household appliance (on April 1, 1990)
Does this household have any of these appliances?
Record number in the _ [blank space]. If no record '0'.
[] Radio _ _
[] Color-television _ _
[] Black and white television _ _
[] Video-tape _ _
[] Electric iron _ _
[] Electric rice cooking _ _
[] Electric-fan _ _
[] Sewing machine _ _
[] Vacuum cleaner _ _
[] Refrigerator _ _
[] Washing machine _ _
[] Air-conditioner _ _
[] Telephone _ _
[] Bicycle _ _
[] Motorcycle _ _
[] Car _ _
[] Engine operated boats _ _
[] Water pumps _ _
[] Plough machine _ _
[] Local farm truck _ _
H16. Household appliance on 1 April 1990
Ask: "On 1 April 1990, does the member of this household have any of these appliances?"
If they have, record the "number" in the space. If they do not have, record "0".
If they have 7 or more of particular appliances, record "7".
If they do not know the specific number of appliances that they have, record "8".
Example of how to record in H16:
Radio - Record 2 means the household has 2 radios.
Color television - Record 1 means the household has 1 color television.
Black and white TV - Record 1 means the household has 1 black and white TV.
Video player - Record 0 means the household has no video player.
Electric iron - Record 1 means the household has 1 electric iron.
Electric rice cooker - Record 1 means the household has 1 electric rice cooker.
Electric fan - Record 2 means the household has 2 electric fans.
Sewing machine - Record 0 means the household has no sewing machine.
Vacuum cleaner - Record 0 means the household has no vacuum cleaner.
Refrigerator - Record 1 means the household has 1 refrigerator.
Washing machine - Record 0 means the household has no washing machine.
Air conditioner - Record 0 means the household has no air conditioner.
Telephone - Record 1 means the household has 1 telephone.
Bicycle - Record 0 means the household has no bicycle.
Motorcycle - Record 0 means the household has no motorcycle.
Car - Record 1 means the household has 1 car.
Motor boat - Record 0 means the household has no motor boat.
Water pump - Record 0 means the household has no water pump.
Plough machine - Record 0 means the household has no plough machine.
Local farm truck - Record 0 means the household has no local farm truck.
With regard to the number of telephones, if the telephone is connected to the main telephone within the household, do not count this connected telephone. However, if the telephone is connected from other household, count that connected telephone as well.
Private households
None
1
One
2
Two
3
Three
4
Four
5
Five
6
Six
7
Seven
8
Eight or more
98
Unknown
99
NIU (not in universe)
This variable indicates the number of local farm trucks owned by the household.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Weight
Weight
Weight
Weight
Weight
Weight
All households
This variable indicates household weight. The collectives were given the weighted average of known cases.
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.
Technical Household Variables -- HOUSEHOLD
IPUMS
Thailand, Province 1970 - 2000 [Level 1; consistent boundaries, GIS]
Thailand, Province 1970 - 2000 [Level 1; consistent boundaries, GIS]
Thailand, Province 1970 - 2000 [Level 1; consistent boundaries, GIS]
Thailand, Province 1970 - 2000 [Level 1; consistent boundaries, GIS]
Thailand, Province 1970 - 2000 [Level 1; consistent boundaries, GIS]
764010
Bangkok
764011
Samut Prakan
764012
Nonthaburi
764013
Pathum Thani
764014
Phra Nakhon si Ayutthaya
764015
Ang Thong
764016
Lop Buri
764017
Sing Buri
764018
Chai Nat
764019
Prachin Buri and Sa Kaeo
764020
Chon Buri
764021
Rayong
764022
Chanthaburi
764023
Trat
764024
Chachoengsao
764026
Nakhon Nayok
764027
Saraburi
764030
Nakhon Ratchasima
764031
Buri Ram
764032
Surin
764033
Si Sa Ket
764034
Ubon Ratchathani, Yasothon and Amnat Charoen
764036
Chaiyaphum
764040
Khon Kaen
764041
Udon Thani and Nong Bua Lam Phu
764042
Loei
764043
Nong Khai
764044
Maha Sarakham
764045
Roi Et
764046
Kalasin
764047
Sakon Nakhon
764048
Nakhon Phanom and Mukdahan
764050
Chiang Mai
764051
Lamphun
764052
Lampang
764053
Uttaradit
764054
Phrae
764055
Nan
764057
Chiang Rai and Phayao
764058
Mae Hong Son
764060
Nakhon Sawan
764061
Uthai Thani
764062
Kamphaeng Phet
764063
Tak
764064
Sukhothai
764065
Phitsanulok
764066
Phichit
764067
Phetchabun
764070
Ratchaburi
764071
Kanchanaburi
764072
Suphanburi
764073
Nakhon Pathom
764074
Samut Sakhon
764075
Samut Songkhram
764076
Phetchaburi
764077
Prachuap Khiri Khan
764080
Nakhon Si Thammarat
764081
Krabi
764082
Phangnga
764083
Phuket
764084
Surat Thani
764085
Ranong
764086
Chumphon
764090
Songkhla
764091
Satun
764092
Trang
764093
Phatthalung
764094
Pattani
764095
Yala
764096
Narathiwat
GEO1_TH identifies the household's province (Changwat) within Thailand in all sample years. Provinces are the first level administrative units of the country. GEO1_TH 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_TH can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Thailand 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 Thailand. Year specific geography and maps will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Thailand, Province 1970 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
Thailand, Province 1970 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
Thailand, Province 1970 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
Thailand, Province 1970 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
Thailand, Province 1970 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
10
Bangkok
11
Samut Prakan
12
Nonthaburi
13
Pathum Thani
14
Phra Nakhon si Ayutthaya
15
Ang Thong
16
Lop Buri
17
Sing Buri
18
Chai Nat
19
Sa Kaeo
20
Chon buri
21
Rayong
22
Chanthaburi
23
Trat
24
Chachoengsao
25
Prachin Buri
26
Nakhon Nayok
27
Saraburi
30
Nakhon Ratchasima
31
Buri Ram
32
Surin
33
Si Sa Ket
34
Ubon Ratchathani
35
Yasothon
36
Chaiyaphum
37
Amnat Charoen
39
Nong Bua Lam Phu
40
Khon Kaen
41
Udon Thani
42
Loei
43
Nong Khai
44
Maha Sarakham
45
Roi Et
46
Kalasin
47
Sakon Nakhon
48
Nakhon Phanom
49
Mukdahan
50
Chiang Mai
51
Lamphun
52
Lampang
53
Uttaradit
54
Phrae
55
Nan
56
Phayao
57
Chiang Rai
58
Mae Hong Son
60
Nakhon Sawan
61
Uthai Thani
62
Kamphaeng Phet
63
Tak
64
Sukhothai
65
Phitsanulok
66
Phichit
67
Phetchabun
70
Ratchaburi
71
Kanchanaburi
72
Suphanburi
73
Nakhon Pathom
74
Samut Sakhon
75
Samut Songkhram
76
Phetchaburi
77
Prachuap Khiri Khan
80
Nakhon Si Thammarat
81
Krabi
82
Phangnga
83
Phuket
84
Surat Thani
85
Ranong
86
Chumphon
90
Songkhla
91
Satun
92
Trang
93
Phatthalung
94
Pattani
95
Yala
96
Narathiwat
GEO1_THX identifies the household's province (Changwat) within Thailand in all sample years. Provinces are the first level administrative units of the country. GEO1_THX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for Thailand 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 Thailand. Year specific geography and maps will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
No married couples in household
1
1 couple
2
2 couples
3
3 couples
4
4 couples
5
5 couples
6
6 couples
7
7 couples
8
8 couples
9
9 or more couples
NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
No mothers in household
1
1 mother
2
2 mothers
3
3 mothers
4
4 mothers
5
5 mothers
6
6 mothers
7
7 mothers
8
8 mothers
9
9 or more mothers in household
NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
No fathers in household
1
1 father
2
2 fathers
3
3 fathers
4
4 fathers
5
5 fathers
6
6 fathers
7
7 fathers
8
8 fathers
9
9 or more fathers in household
NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Country
Country
Country
Country
Country
32
Argentina
40
Austria
50
Bangladesh
51
Armenia
68
Bolivia
76
Brazil
112
Belarus
116
Cambodia
120
Cameroon
124
Canada
152
Chile
156
China
170
Colombia
188
Costa Rica
192
Cuba
214
Dominican Republic
218
Ecuador
222
El Salvador
231
Ethiopia
242
Fiji
250
France
275
Palestine
276
Germany
288
Ghana
300
Greece
324
Guinea
332
Haiti
348
Hungary
356
India
360
Indonesia
364
Iran
368
Iraq
372
Ireland
376
Israel
380
Italy
388
Jamaica
400
Jordan
404
Kenya
417
Kyrgyz Republic
430
Liberia
454
Malawi
458
Malaysia
466
Mali
484
Mexico
496
Mongolia
504
Morocco
508
Mozambique
524
Nepal
528
Netherlands
558
Nicaragua
566
Nigeria
586
Pakistan
591
Panama
600
Paraguay
604
Peru
608
Philippines
620
Portugal
630
Puerto Rico
642
Romania
646
Rwanda
662
Saint Lucia
686
Senegal
694
Sierra Leone
704
Vietnam
705
Slovenia
710
South Africa
724
Spain
728
South Sudan
729
Sudan
756
Switzerland
764
Thailand
792
Turkey
800
Uganda
804
Ukraine
818
Egypt
826
United Kingdom
834
Tanzania
840
United States
854
Burkina Faso
858
Uruguay
862
Venezuela
894
Zambia
COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
Technical Household Variables -- HOUSEHOLD
IPUMS
Electricity
Electricity
Electricity
Electricity
Electricity
NIU (not in universe)
1
Yes
2
No
9
Unknown
ELECTRIC indicates whether the household had access to electricity.
Utilities Variables -- HOUSEHOLD
IPUMS
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
Number of bedrooms
No bedrooms
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20+
98
Unknown
99
NIU (not in universe)
BEDROOMS indicates the number of rooms available to members of the household for sleeping.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
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
Cooking fuel
Cooking fuel
Cooking fuel
Cooking fuel
Cooking fuel
NIU (not in universe)
10
None
20
Electricity
30
Petroleum gas, unspecified
31
Gas -- piped/utility
32
Gas -- tanked or bottled
33
Propane
35
Liquefied petroleum gas
40
Petroleum liquid
41
Oil, kerosene, and other liquid fuels
42
Kerosene/paraffin
43
Kerosene or oil
44
Kerosene or gasoline
45
Gasoline
46
Cocinol
50
Wood, coal, and other solid fuels
51
Wood and other plant fuels
52
Non-wood plant materials
53
Coal or charcoal
54
Charcoal
55
Coal
56
Wood or charcoal
60
Multiple fuels
61
Bottled gas and wood
62
Propane and electricity
63
Propane, kerosene, and electricity
64
Propane and kerosene
65
Kerosene and electrictiy
66
Other combinations
70
Other
71
Alcohol
72
Biogas
73
Discarded or waste material
74
Dung/manure
75
Dung or grass
76
Solar energy
77
Candle
99
Unknown/missing
FUELCOOK indicates the predominant type of fuel or energy used for cooking.
Utilities Variables -- HOUSEHOLD
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
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
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
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Father's location in household
Father's location in household
Father's location in household
Father's location in household
Father's location in household
POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Person is not the 2nd or higher order wife linked via SPLOC
1
Person is the 2nd or higher order wife linked via SPLOC
POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.
The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Family unit membership
Family unit membership
Family unit membership
Family unit membership
Family unit membership
FAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
1
1 family member present
2
2 family members present
3
3 family members present
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99 or more persons
FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.
FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more children in household
NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more own children under age 5 in household
NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
ELDCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
YNGCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
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
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
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
1
Male
2
Female
9
Unknown
SEX reports the sex (gender) of the respondent.
Demographic 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
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
Number of children dead
Number of children dead
Number of children dead
Number of children dead
Number of children dead
None
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20+
98
Unknown/missing
99
NIU (not in universe)
CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births.
Fertility and Mortality Variables -- PERSON
IPUMS
Children surviving
Children surviving
Children surviving
Children surviving
Children surviving
No children
1
1 child
2
2 children
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
CHSURV reports the number of children born to a woman who were still living at the time of the census.
Fertility and Mortality Variables -- PERSON
IPUMS
Children ever born
Children ever born
Children ever born
Children ever born
Children ever born
No children
1
1 child
2
2 children
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.
Fertility and Mortality Variables -- PERSON
IPUMS
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
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
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
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
Technical Person Variables -- PERSON
IPUMS
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
Month of birth
Month of birth
Month of birth
Month of birth
Month of birth
1
January
2
February
3
March
4
April
5
May
6
June
7
July
8
August
9
September
10
October
11
November
12
December
98
Unknown
99
NIU (not in universe)
BIRTHMO indicates the person's month of birth.
Demographic Variables -- PERSON
IPUMS
Year of birth
Year of birth
Year of birth
Year of birth
Year of birth
NIU (not in universe)
1843
1843
1845
1845
1850
1850
1853
1853
1854
1854
1856
1856
1858
1858
1859
1859
1860
1860
1861
1861
1862
1862
1863
1863
1864
1864
1865
1865
1866
1866
1867
1867
1868
1868
1869
1869
1870
1870
1871
1871
1872
1872
1873
1873
1874
1874
1875
1875
1876
1876
1877
1877
1878
1878
1879
1879
1880
1880
1881
1881
1882
1882
1883
1883
1884
1884
1885
1885
1886
1886
1887
1887
1888
1888
1889
1889
1890
1890
1891
1891
1892
1892
1893
1893
1894
1894
1895
1895
1896
1896
1897
1897
1898
1898
1899
1899
1900
1900
1901
1901
1902
1902
1903
1903
1904
1904
1905
1905
1906
1906
1907
1907
1908
1908
1909
1909
1910
1910
1911
1911
1912
1912
1913
1913
1914
1914
1915
1915
1916
1916
1917
1917
1918
1918
1919
1919
1920
1920
1921
1921
1922
1922
1923
1923
1924
1924
1925
1925
1926
1926
1927
1927
1928
1928
1929
1929
1930
1930
1931
1931
1932
1932
1933
1933
1934
1934
1935
1935
1936
1936
1937
1937
1938
1938
1939
1939
1940
1940
1941
1941
1942
1942
1943
1943
1944
1944
1945
1945
1946
1946
1947
1947
1948
1948
1949
1949
1950
1950
1951
1951
1952
1952
1953
1953
1954
1954
1955
1955
1956
1956
1957
1957
1958
1958
1959
1959
1960
1960
1961
1961
1962
1962
1963
1963
1964
1964
1965
1965
1966
1966
1967
1967
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1978
1978
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1988
1988
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
2012
2012
2013
2013
9999
Unknown
BIRTHYR gives the person's year of birth.
Demographic Variables -- PERSON
IPUMS
Province of birth, Thailand
Province of birth, Thailand
Province of birth, Thailand
Province of birth, Thailand
Province of birth, Thailand
10
Bangkok
11
Samut Prakan
12
Nonthaburi
13
Pathum Thani
14
Phra Nakhon si Ayutthaya
15
Ang Thong
16
Lop Buri
17
Sing Buri
18
Chai Nat
19
Sa Kaeo
20
Chon buri
21
Rayong
22
Chanthaburi
23
Trat
24
Chachoengsao
25
Prachin Buri
26
Nakhon Nayok
27
Saraburi
30
Nakhon Ratchasima
31
Buri Ram
32
Surin
33
Si Sa Ket
34
Ubon Ratchathani
35
Yasothon
36
Chaiyaphum
37
Amnat Charoen
39
Nong Bua Lam Phu
40
Khon Kaen
41
Udon Thani
42
Loei
43
Nong Khai
44
Maha Sarakham
45
Roi Et
46
Kalasin
47
Sakon Nakhon
48
Nakhon Phanom
49
Mukdahan
50
Chiang Mai
51
Lamphun
52
Lampang
53
Uttaradit
54
Phrae
55
Nan
56
Phayao
57
Chiang Rai
58
Mae Hong Son
60
Nakhon Sawan
61
Uthai Thani
62
Kamphaeng Phet
63
Tak
64
Sukhothai
65
Phitsanulok
66
Phichit
67
Phetchabun
70
Ratchaburi
71
Kanchanaburi
72
Suphanburi
73
Nakhon Pathom
74
Samut Sakhon
75
Samut Songkhram
76
Phetchaburi
77
Prachuap Khiri Khan
80
Nakhon Si Thammarat
81
Krabi
82
Phangnga
83
Phuket
84
Surat Thani
85
Ranong
86
Chumphon
90
Songkhla
91
Satun
92
Trang
93
Phatthalung
94
Pattani
95
Yala
96
Narathiwat
97
Unknown province within Thailand
98
Foreign country
99
Unknown
BPLTH indicates the person's province of birth within Thailand.
Nativity and Birthplace Variables -- PERSON
IPUMS
Educational attainment, Thailand
Educational attainment, Thailand
Educational attainment, Thailand
Educational attainment, Thailand
Educational attainment, Thailand
NIU (not in universe)
100
None
110
Kindergarten
120
Pre-elementary
121
Pre-elementary, grade 1
122
Pre-elementary, grade 2
123
Pre-elementary, grade 3
200
Primary general
201
Primary general, grade 1
202
Primary general, grade 2
203
Primary general, grade 3
204
Primary general, grade 4
205
Primary general, grade 5
206
Primary general, grade 6
207
Primary general, grade 7
208
Primary general, grade unknown
300
Primary vocational
310
Junior vocational (pre-1961 system)
311
Junior vocational, year 1
312
Junior vocational, year 2
313
Junior vocational, year 3
314
Junior vocational, year unknown
400
Secondary general
410
Lower secondary general (post-1977 system)
411
Lower secondary general, grade 1
412
Lower secondary general, grade 2
413
Lower secondary general, grade 3
414
Lower second general, grade 3, old MS2
415
Lower second general, grade 3, old MS3
416
Lower secondary general, grade unknown
420
Upper secondary general (post-1977 system)
421
Upper secondary general, grade 4
422
Upper secondary general, grade 5
423
Upper secondary general, grade 6
424
Upper secondary general, grade unknown
500
Secondary vocational
510
Senior vocational (pre-1961 system)
511
Senior vocational, year 1
512
Senior vocational, year 2
513
Senior vocational, year 3
520
Higher vocational (pre-1961 system)
521
Higher vocational, year 1
522
Higher vocational, year 2
523
Higher vocational, year 3
524
Higher vocational, year unknown
530
Lower vocational secondary (post-1977 system)
531
Lower vocational secondary, year 1
532
Lower vocational secondary, year 2
533
Lower vocational secondary, year 3
540
Upper vocational secondary (post-1977 system)
541
Upper vocational secondary, year 1
542
Upper vocational secondary, year 2
543
Upper vocational secondary, year 3
544
Upper vocational secondary, year unknown
550
Teacher training
551
Teacher training, province education
552
Teacher training, lower education
553
Teacher training, certificate, year 1
554
Teacher training, certificate, year 2
555
Teacher training, certificate, year unknown
600
Post-secondary
610
Vocational technical (teaching, nursing, other)
611
Voc 1st year, nurse 2nd year
612
Voc 2nd year, nurse 3rd year
613
Nursing degree, educ voc, 1st or 2nd year
614
Nursing degree, educ voc, 3rd year
615
Nursing degree, educ voc, year unknown
620
Vocational technical (teaching, other)
621
Voc tech diploma, incomplete
622
Voc tech complete, or voc educ 2nd or 3rd year
623
Education diploma
624
Technical certificate
625
Vocational technical, level unknown
630
Nursing education
631
Nursing, 1 year curriculum
632
Nursing, obstetrician certificate
633
Nursing, year 1 to 3
634
Nursing diploma
635
Nursing, year 3
636
Nursing, bachelor
637
Nursing, unknown level
640
Higher level, lower diploma level
650
Higher level, diploma level
660
Short vocational education
670
Bachelor or diploma in education
671
University, teacher training, year 1
672
University, teacher training, year 2
673
University, teacher training, year 3
674
University, teacher training, year 4
675
University, teacher training, year unknown
680
General university or equivalent
681
University, year 1
682
University, year 2
683
University, year 3
684
University, year 4
685
University, year 5 or 6
686
University, year unknown
687
Bachelor degree
688
Master's degree
689
Ph.D. degree
700
Religious studies
710
Third grade religion
720
Buddhism theology
721
Buddhism theology, grades 3 to 4
722
Buddhism theology, grades 5 to 6
723
Buddhism theology, university
730
Scripture school
731
Scripture school, for general education
732
Scripture school, for Dharma
733
Scripture school, for Pali
740
Religious, short course voc educ
750
Religious, other education
760
Religious, level unknown
800
Other, not specified
999
Unknown
EDUCTH indicates the person's educational attainment in terms of the level of schooling completed.
Education Variables -- PERSON
IPUMS
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.
Work Variables -- PERSON
IPUMS
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
Province of previous residence, Thailand
Province of previous residence, Thailand
Province of previous residence, Thailand
Province of previous residence, Thailand
Province of previous residence, Thailand
10
Bangkok
11
Samut Prakan
12
Nonthaburi
13
Pathum Thani
14
Phra Nakhon si Ayutthaya
15
Ang Thong
16
Lop Buri
17
Sing Buri
18
Chai Nat
19
Sa Kaeo
20
Chon buri
21
Rayong
22
Chanthaburi
23
Trat
24
Chachoengsao
25
Prachin Buri
26
Nakhon Nayok
27
Saraburi
30
Nakhon Ratchasima
31
Buri Ram
32
Surin
33
Si Sa Ket
34
Ubon Ratchathani
35
Yasothon
36
Chaiyaphum
37
Amnat Charoen
39
Nong Bua Lam Phu
40
Khon Kaen
41
Udon Thani
42
Loei
43
Nong Khai
44
Maha Sarakham
45
Roi Et
46
Kalasin
47
Sakon Nakhon
48
Nakhon Phanom
49
Mukdahan
50
Chiang Mai
51
Lamphun
52
Lampang
53
Uttaradit
54
Phrae
55
Nan
56
Phayao
57
Chiang Rai
58
Mae Hong Son
60
Nakhon Sawan
61
Uthai Thani
62
Kamphaeng Phet
63
Tak
64
Sukhothai
65
Phitsanulok
66
Phichit
67
Phetchabun
70
Ratchaburi
71
Kanchanaburi
72
Suphanburi
73
Nakhon Pathom
74
Samut Sakhon
75
Samut Songkhram
76
Phetchaburi
77
Prachuap Khiri Khan
80
Nakhon Si Thammarat
81
Krabi
82
Phangnga
83
Phuket
84
Surat Thani
85
Ranong
86
Chumphon
90
Songkhla
91
Satun
92
Trang
93
Phatthalung
94
Pattani
95
Yala
96
Narathiwat
97
Same province
98
Unknown province, but within Thaliand
100
Abroad
998
Unknown
999
NIU (not in universe)
MIGTH indicates the person's province of previous residence in Thailand, if they changed province within the last 5 years.
Migration 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
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.
Work Variables -- PERSON
IPUMS
Blind or vision-impaired
Blind or vision-impaired
Blind or vision-impaired
Blind or vision-impaired
Blind or vision-impaired
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISBLND indicates whether the person was blind or had limited vision.
Disability Variables -- PERSON
IPUMS
Psychological disability
Psychological disability
Psychological disability
Psychological disability
Psychological disability
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISPSYC indicates whether the person was disabled due to mental illness.
Disability Variables -- PERSON
IPUMS
Mental disability
Mental disability
Mental disability
Mental disability
Mental disability
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity.
Disability Variables -- PERSON
IPUMS
Mute or speech impaired
Mute or speech impaired
Mute or speech impaired
Mute or speech impaired
Mute or speech impaired
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISMUTE indicates if the person could not speak or had a significant speech impediment.
Disability Variables -- PERSON
IPUMS
Deaf or hearing-impaired
Deaf or hearing-impaired
Deaf or hearing-impaired
Deaf or hearing-impaired
Deaf or hearing-impaired
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISDEAF indicates whether the person was deaf or had limited hearing.
Disability Variables -- PERSON
IPUMS
Employment disability
Employment disability
Employment disability
Employment disability
Employment disability
1
Disabled
2
Not disabled
8
Unknown
9
NIU (not in universe)
DISEMP indicates if the respondent was economically inactive because of disabilities.
Disability Variables -- PERSON
IPUMS
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
This variable indicates person number (within household).
Technical Person Variables -- PERSON
IPUMS
Relationship to head of household
Relationship to head of household
Relationship to head of household
Relationship to head of household
Relationship to head of household
[Questions S1- S6 were asked of every person.]
S3. What's [respondent's] relationship to head of household?
Record relationship in the following order, head, wife/husband, children (unmarried), children (married and spouse), grand children, parents, other relatives, non-relative/servants
[] 01 Head
[] 02 Spouse
[] 03 Children
[] 04 Step-children
[] 05 Adopted children
[] 06 Son- or daughter-in-law
[] 07 Grand children
[] 08 Parents, parents-in-law
[] 09 Grandparents
[] 10 Other relatives
[] 11 Non-relatives
[] 12 Servants
For columns 1-6, ask and record details of everyone.
Column S3: Relationship with the head of household
Record "head" on the first line for the head of the household. For other members of the household, ask: "...... (name) ........ what is your relationship with the head of the household?"
Record codes for the relationship with the head of household as follows:
[] Wife or husband
[] Unmarried children: record "children" in the order of age from old to young. Step-children: record "step-children". Adopted children: record "adopted children".
[] Married children (including step-children and adopted children): record "children", "step-children", or "adopted children" in the order of age from old to young.
[] Spouses of children: record "Son-in-law" or "daughter-in-law"
[] Grandchildren
[] Spouses of grandchildren
[] Father, mother, father/mother-in-law
[] Siblings, uncle, aunt, etc. for other relatives
[] Non-relatives and servants
Collective households: Record "head" for the head of household on the first line. For other household members of the household, record the relationship with the head of household according to the characteristics or the status of the member at that time. Examples are Buddhist monk, novice, monk's follower, prisoner, assistance receiver, patient, student, soldier, policeman, visitor, etc.
All persons
1
Head of household
2
Wife or husband of head
3
Child (son or daughter)
4
Step-child
5
Adopted child
6
Son or daughter-in-Law
7
Grandchild, grandchild-in-Law
8
Parents, parents-in-Law
9
Grandparents
10
All other relatives
11
Non-relative (in private household)
12
Servants
13
Other members in collective household
This variable indicates the relationship of the person to the head of household.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
[Questions S1- S6 were asked of every person.]
S4. Sex
[] 1 Male
[] 2 Female
For columns 1-6, ask and record details of everyone.
Column S4: Sex
[] 1 Male
[] 2 Female
All persons
1
Male
2
Female
This variable indicates the sex of the person.
Demographic Variables -- PERSON
IPUMS
Month of Birth
Month of Birth
Month of Birth
Month of Birth
Month of Birth
[Questions S1- S6 were asked of every person.]
S5. What's [respondent's] month and year of birth?
Record month and year of birth.
Month _ _
Year _ _ _ _
For columns 1-6, ask and record details of everyone.
Column S5: Month and year of birth
Ask: "...... (name) ...... , in what month and year were you born?"
Record the month of birth and year of birth in the columns of month and year, respectively.
1. If the answer is in the lunar month and the zodiac year such as the 12th month of the rabbit year, record "12" in the month column and "rabbit" in the year column.
2. If the answer is in the solar year such as September of the year 2496 B.E. [1953 A.D.], record "September" in the month column and "2496" in the year column.
3. If the person does not know the month of birth, record "X" in the month column, and if she/he does not know the year of birth, record "X" in the year column.
Note: if the person cannot remember the month or year of birth, ask for the copy of the house registration to look for this information.
All persons
1
January
2
February
3
March
4
April
5
May
6
June
7
July
8
August
9
September
10
October
11
November
12
December
21
Lunar 1(Dec.)
22
Lunar 2(Jan.)
23
Lunar 3(Feb.)
24
Lunar 4(March)
25
Lunar 5(April)
26
Lunar 6(May)
27
Lunar 7(June)
28
Lunar 8(July)
29
Lunar 9(August)
30
Lunar 10(Sep.)
31
Lunar 11(Oct.)
32
Lunar 12(Nov.)
99
Unknown
This variable indicates the person's month of birth.
Demographic Variables -- PERSON
IPUMS
Year of Birth
Year of Birth
Year of Birth
Year of Birth
Year of Birth
[Questions S1- S6 were asked of every person.]
S5. What's [respondent's] month and year of birth?
Record month and year of birth.
Month _ _
Year _ _ _ _
For columns 1-6, ask and record details of everyone.
Column S5: Month and year of birth
Ask: "...... (name) ...... , in what month and year were you born?"
Record the month of birth and year of birth in the columns of month and year, respectively.
1. If the answer is in the lunar month and the zodiac year such as the 12th month of the rabbit year, record "12" in the month column and "rabbit" in the year column.
2. If the answer is in the solar year such as September of the year 2496 B.E. [1953 A.D.], record "September" in the month column and "2496" in the year column.
3. If the person does not know the month of birth, record "X" in the month column, and if she/he does not know the year of birth, record "X" in the year column.
Note: if the person cannot remember the month or year of birth, ask for the copy of the house registration to look for this information.
All persons
Snake (small)
1
Snake (big)
2
Rabbit
3
Tiger
4
Cow
5
Rat
6
Pig
7
Dog
8
Cock
9
Monkey
10
Goat
11
Horse
427
1884
428
1885
429
1886
430
1887
431
1888
432
1889
433
1890
434
1891
435
1892
436
1893
437
1894
438
1895
439
1896
440
1897
441
1898
442
1899
443
1900
444
1901
445
1902
446
1903
447
1904
448
1905
449
1906
450
1907
451
1908
452
1909
453
1910
454
1911
455
1912
456
1913
457
1914
458
1915
459
1916
460
1917
461
1918
462
1919
463
1920
464
1921
465
1922
466
1923
467
1924
468
1925
469
1926
470
1927
471
1928
472
1929
473
1930
474
1931
475
1932
476
1933
477
1934
478
1935
479
1936
480
1937
481
1938
482
1939
483
1940
484
1941
485
1942
486
1943
487
1944
488
1945
489
1946
490
1947
491
1948
492
1949
493
1950
494
1951
495
1952
496
1953
497
1954
498
1955
499
1956
500
1957
501
1958
502
1959
503
1960
504
1961
505
1962
506
1963
507
1964
508
1965
509
1966
510
1967
511
1968
512
1969
513
1970
514
1971
515
1972
516
1973
517
1974
518
1975
519
1976
520
1977
521
1978
522
1979
523
1980
524
1981
525
1982
526
1983
527
1984
528
1985
529
1986
530
1987
531
1988
532
1989
533
1990
999
Unknown
This variable indicates the person's year of birth.
Demographic Variables -- PERSON
IPUMS
Age, reported
Age, reported
Age, reported
Age, reported
Age, reported
[Questions S1- S6 were asked of every person.]
S6. Age _ _
Record age as of last birthday prior to 1 April 1990. If age less than 1 year, record "00".
For columns 1-6, ask and record details of everyone.
Column S6: Age
Ask: "........ (name).......... how old are you?"
Record the full age as of the last birthday before the 1st April 1990, by using a 2-digit number.
1. If the age is less than 1 year, record "00".
2. If the age is 98 years and over, record "98".
3. If the answer is in the lunar month and zodiac year, ask for the approximate age. Then, look up the age from the comparison table provided by comparing the age and the year of birth. For example, the person born on the 12th month in the year of great snake and the age is approximately 30 years or older. In the comparison table, the age of a person age 30+ born in the year of the great snake is 37. Then, record "37".
4. If answer is the solar month and year, check the comparable table and record the corresponding age.
5. If the person does not know the month and year of birth, ask the respondent to estimate his age and record the age according to the answer, such as approximately 22 year record "22".
6. If age is unknown, record "99" and continue asking all columns.
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 years+
99
Unknown
This variable indicates the age (reported) of the person.
Demographic Variables -- PERSON
IPUMS
Highest grade completed
Highest grade completed
Highest grade completed
Highest grade completed
Highest grade completed
[Ask only person 5 years and over.]
S7. Highest Level of school attainment
What's [respondent's] highest level of school attainment? ____
Record the highest level of education lastly completed as of 1 January 1990. If never attended school, record "never".
Column S7: The highest level of education
Ask persons age 5 years or older (or persons born before 1 April 1985).
The highest level of education means the level or grade at which a person passes the last final exam. The question is: "........ (name).............., considering up to 1 January 1990, what is the highest level of education you completed?"
Instructions on recording the highest level of education in which a person attains
1. For a person who studies in general education program or a person who studies in pre-primary level, primary levels, and secondary levels, record the last level at which the person passed the exams such as kindergarten grade 1, primary school grade 1, primary school grade 4, primary school grade 5, secondary school grade 4, secondary school grade 7, etc.
For those who answer secondary school grades 1-6, if they completed those levels before 1971, specify the word "old system" at the end. For example, secondary level grade 6 (old system).
2. For those who studied/graduated from vocational colleges, teacher training colleges, or universities, and completed is the highest level required for that particular degree, which means that they graduated and received the certificates or degree diplomas, record the name or abbreviation of the certificates or degrees in which they obtained. Examples are Bachelor in political science, advanced drama arts, advanced education certificate, vocational education certificate, advanced vocational education certificate, technological education certificate, B.Sc, B.Ed, etc.
3. For those who attend vocational colleges, teacher training colleges, or universities, but did not complete the highest level required for that particular degree, record the class or year they completed and the current levels in which they are studying.
Instructions on recording the class or year of education attainment
3.1 If a person is studying in a system in which he/she must pass the final exam of a particular level in order to be able to study at a higher level, record the level or year at which the person last passed the final exam. For example, year 1 of advance vocational education, year 2 of Bachelor's degree, Chulalongkorn University, etc.
Example 1: Mr. Kitti started his undergraduate studies at Chulalongkorn University in 1957 but was expelled from the university in 1959 because he did not pass a course in year 2. His highest education level of Mr. Kitti is year 1 of Bachelor's degree, Chulalongkorn University.
Example 2: Mr. Narong studied at Patumwan Mechanical College on the academic year of 1959. He passed all subjects of year 2 and was about to study in year 3. However, there was some unavoidable event that made him unable to continue his study. In this case, the highest education level of Mr. Narong is year 2 of higher vocational education.
3.2 If the educational system is a credit system, count the number of years in which the person attended or passed the coursework.
Example 1: Mr. Sukit entered at Chetupon Commercial College in the academic year of 1997. He was studying in year 3 of the Vocational Education Program on 1 January 1990. Record the highest education level of Mr. Sukit as year 2 of Vocational Education Program.
Example 2: Miss Somboon studied Sakon Nakon Commercial School in the academic year of 1998, and she was studying in year 1 of Vocational Education Program on 1 January 1990. The highest education level in which Miss Somboon attained is secondary school grade 3.
3.3 If the educational program has two programs (the regular program and the special program; or the normal hour and part time) and the part-time or the special program requires longer period of study, record the highest educational level according to the regulation mentioned above, and specify whether the program is the special or extra-hour program and record the number of the years of the curriculums as well.
Example: Miss Pornthip is studying in a part-time program of the Higher Vocational Education at a college in which the curriculum requires two years for completion if it is a regular program (normal hour), but it requires 3 years for completion if it is the part-time program. If Miss Pornthip is studying in year 3, record the educational level of Miss Pornthip as year 2 of Higher Vocational Education (Part-time program, 3-years curriculum).
3.4 For studies in the Bachelor's degree level, there are several curriculums for students with different previous education levels. For example, a 4-year curriculum is for students who finished high schools (secondary school 6), and a 2-year curriculum for those who had diploma or finished a higher vocational education program, etc.
To record the class or year of education attained, in the case of a 4-year curriculum, record according to the instruction mentioned above, but in the case of a 2-year curriculum, record according the above instruction and also specify the number of years required for that particular curriculum, for example, year 1 of Bachelor's Degree (2-year curriculum) or equivalently year 3 of Bachelor's Degree (4-year curriculum).
Use caution recording the class or year of education attained if it is not the highest class or year required to complete a particular educational level.
The class or year recorded must be lower than the number of years required for completion of that educational level. For example, in the Vocational Education Program, which is a 3-year curriculum, the highest class or year at which a person can attain is year 2 of Vocational Education Program. If a person completed year 3 of Vocational Education Program, it must be recorded as certificate of Vocational Education (Cert. Voc. Ed). In the case of a Bachelor's Degree which is a 4-year curriculum, the highest class or year at which a person can attain is year 3 of Bachelor's Degree, even though that person may have spent more than 3 years of study. If record year 4 of Bachelor's Degree, it means that the person has already graduated or already obtained that degree. In the latter case, record the name or the abbreviation of the degree.
4. For those who obtained their education from abroad, if the education system is basic compare the level of education with the Thai system of primary education (Pathom Suksa) or secondary education (Mathayom Suksa). If the system is not comparable, then specify the number of years of the studies in the basic education system. For those who graduated in a vocational education, teacher training and university levels, record the name of the certificate, diploma, or degree received, and write the equivalence of the Thai educational level in parenthesis.
5. For those who receive more than one certificate, diploma or degree at the same level but different fields, record only one degree. However, if a person receives many degrees of different levels, record only the degree of the highest level.
6. For those who study religion, record the religious degree and also record the highest educations level attained that is not a religions degree in parenthesis. For example:
Third grade religion (Primary school, grade 4)
Second grade religion (Bachelor's Degree)
Buddhism Theology 4 (Vocational Education)
Buddhism Theology 9 (Secondary school, grade 3)
7. For those who finished the continuing educational program (for adults), record the education level at which they passed the exam such as level 3, or record the equivalent level in the basic education system. For example, level 4 is equivalent to secondary school grade 3, then record secondary school 3, etc.
8. For those who finished short vocational education programs that have less than one year of curriculum but received diplomas or certificates, record the field of that vocational program and also record the highest level attained in the basic education system. Example:
Dressmaker curriculum, Polytechnic College (Secondary school, grade 3)
Mechanic curriculum, Polytechnic College (Primary school, grade 4)
Beauty curriculum, Anna School (Primary school, grade 4)
9. For those who have never been educated or never completed any years/levels, including informal education such as studying from the monk or studying foreign languages in language institutes, record "Never".
10. If the person does not know, record "X".
Persons age 5+
1
Never attended school
10
Kindergarten
11
Primary level 1
12
Primary level 2
13
Primary level 3
14
Primary level 4
15
Primary level 5 (P5 or M1 in old system)
16
Primary level 6 (P6 or M2 in old system)
17
Primary level (P7 or M3 in old system)
19
Primary level, unknown year
21
General secondary level, year 1
22
General secondary level, year 2 (M.S.1 in old system)
23
General secondary level, year 3 (M.S.2 in old system)
24
General secondary level, year 3 (M.S.3 in old system)
25
General secondary level, year 4
26
General secondary level, year 5
27
General secondary level, year 6
29
General secondary level, unknown year
31
General university level, year 1
32
General university level, year 2
33
General university level, year 3
34
General university level, year 4
35
General university level, year 5
36
Undergraduate degree (completed)
37
Master
38
Ph.D.
39
General university level, unknown year
41
Vocational secondary level, year 1
42
Vocational secondary level, year 2
43
Vocational secondary level, year 3
44
Upper vocational secondary level, year 1
45
Upper vocational secondary level, year 2
46
Upper vocational secondary level, year 3
49
Upper vocational secondary level, unknown year
51
Vocational university, year 1
52
Vocational university, year 2
53
Vocational university, teacher certificate
54
Vocational university, technical certificate
59
Vocational university, unknown year
61
Secondary level, teacher certificate (continue from M.3 in old system)
62
Secondary level, teacher certificate (continue from M.6 in old system)
63
Upper secondary level 1, teacher certificate
64
Upper secondary level 2, teacher certificate
65
University level (teacher training), year 1
66
University level (teacher training), year 2
67
University level (teacher training), year 3
68
University level (teacher training), year 4
69
University level (teacher training), unknown year
73
Nursing education (1 year curriculum)
74
Nursing education (obstetrician certificate)
75
Nursing education, year 1-3 of nursing diploma
76
Nursing education (nursing diploma)
77
Nursing education (year 3 of 4 year curriculum)
78
Nursing education (university level)
79
Nursing education, unknown level
80
Short vocational education
81
Third grade religion (Primary level 4)
82
Buddhism theology grades 3-4 (Secondary level 3)
83
Buddhism theology grades 5-6 (Secondary level 6)
84
Buddhism theology grade 9 (University level)
89
Religious study, unknown level
90
Other education
98
Unknown
99
NIU (not in universe)
This variable indicates the highest grade that the person completed.
Education Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
[Questions S8- S11 were asked of persons 13 and older or were born before and in the year 1977]
S8. What's [respondent's] marital status? (on April 1,1990)
[] 1 Single
[] 2 Married
[] 3 Widowed
[] 4 Divorced
[] 5 Separated
[] 6 Married, do not know status
[] 7 Priest, monk, novices
Column S8-S11: ask persons age 13 years or older (or who were born before 1 April 1977)
Column S8: Marital Status (on 1 April 1990)
Ask: "Is ............ (name) .......... single, married, widowed, divorced, or separated?" Record the corresponding code in the box.
[] 1 Single
[] 2 Married
[] 3 Widowed
[] 4 Divorced
[] 5 Separate
[] 6 Ever married, but does not know marital status
[] 7 Buddhism monk
[] 9 Unknown
If the person is a Buddhist nun, ask: "Were you ever married?" If she never married, record Code 1, but if she has been married, record Code 6.
If a couple does not live together but still are husband and wife, record code 2.
Persons age 13+
1
Never married
2
Currently married
3
Widowed
4
Divorced
5
Separated
6
Married, but unknown status
7
Monk, priest, novices
8
Unknown
9
NIU (not in universe)
This variable indicates the marital status of the person.
Demographic Variables -- PERSON
IPUMS
Occupation last year
Occupation last year
Occupation last year
Occupation last year
Occupation last year
[Questions S8- S11 were asked of persons 13 and older or were born before and in the year 1977]
S9. Last year occupation
What job did [respondent] spend most of the time working on during last year? (1 April 1989 to 31 March 1990) ____
Record job explicitly. For example: rice farming, vegetable farming, barber, statistician, accountant. If did not work, record "did not work" and do not ask S10, S11.
Column S8-S11: ask persons age 13 years or older (or who were born before 1 April 1977)
Column S9: Main occupation last year (1 April 1989 - 31 March 1990)
Ask: "During last year, what kind of work did ___(name)___ spend most of his/her time on?
Record the description of occupation, job description and position clearly. Examples are farmer, painter, engraver, furniture craftsman, laborer in rice mill, house maid, etc. (Do not record occupations such as government officer or merchant because they are not specific.)
Craftsman: Record what he/she made specifically such as making furniture, building houses, etc.
Teacher: Record the subject that he/she taught such as geography, math, arts, etc. If he/she taught more than one subject, record the subject on which he/she spent most of his/her time. If he/she is responsible for a particular, record the specific class he/she is responsible for such as grade1 in secondary school, grade 2 in primary school, etc.
Engineer or technician: Record the specific category of engineer or technician that he/she was such as civil engineer, electrical engineer, chemical engineer, mechanic technician, etc.
Clerk: Record the duty and description of the job such as typing, delivering documents, measuring, delivering products, etc.
Nurse: Record the type of nurse such as health care nurse, registered nurse, clinical nurse, home nurse, etc.
Driver: Record the type of automobile a person drove such as truck driver, pick-up driver, bus driver, rented-car driver, tricycle driver, etc.
Farmer: Record the type of crops grown in the plantation/farm such as coconut, fruits, palm trees, rubber, vegetables, flowers, cassava, corn, sugar cane, tobacco, etc.
Employee: Record the type of work that a person was employed to do such as carrying things, dish washing, laundry, digging soil, etc.
If there is more than one occupation, record only one main occupation last year by considering the following criteria:
1. The occupation at which the person spent most of his time during the last year period.
2. The occupation from which a person earned more income, if a person spent equal amount of time on many occupations.
If a person does not know the occupation or position but knows that he/she was working last year, record "working but not knowing occupation".
If a person did not work at all did not have any occupation last year, such as pensioner, lender, etc., record "not working" and omit Columns S10 and S11.
Persons age 13+
1
Architects
2
Engineers
3
Explorers
11
Chemists
12
Physicists
19
Physical scientists not classified elsewhere
21
Veterinarians
22
Biologists and zoologists not classified elsewhere
23
Agricultural scientists, forestry professionals and scientists
31
Physicians and surgeons
32
Dentists
41
Nurses
42
Midwifery professionals
49
Other nursing professionals not classified elsewhere
51
Pharmacists
52
Ophthalmologists
53
Medical technicians, health and public health personnel
59
Other health professionals not classified elsewhere
61
Professors, lecturers, and teaching professionals in university
62
General teachers in primary, secondary, and vocational education
63
Specialized teachers in primary, secondary, and vocational education
68
Administrative workers of universities and schools
69
Other teaching professionals not classified elsewhere
71
Monks, priests, ascetics, and religious teachers
79
Other religious workers not specified elsewhere
81
Lawyers, judges, and legal professionals
91
Painters, sculptors, Engravers, and related artists
92
Composers, journalists, and related writers
93
Actors, musicians, dancers, and related workers
101
Draftsmen and modelers (in architectures, civil engineering, electrical and mechanical works)
109
Scientists, technicians, technical engineers not classified elsewhere
111
Accountants
112
Social workers
113
Librarians and archivists
114
Economists, mathematicians, and statisticians
119
Other academic professions not classified elsewhere, including sociologists, anthropologists, historians, political scientists, etc.
1001
Administrative and managerial government officials
1002
All military personnel
1011
Directors, managers, head workers, and owners of mines, factories, and utility services
1012
Directors, managers, departmental head, and head workers of wholesale and retail trades
1013
Directors, managers, departmental head, head workers, and owners of financial institutions, insurance, and real estate business
1014
Directors, managers, departmental head, head workers, and owners of transportation business, warehouse, and communications
1015
Directors, managers, departmental head, head workers, and owners of service enterprises
1019
Directors, managers, departmental head, head workers, and owners not classified elsewhere
2001
Accounting clerks and cashiers
2011
Secretaries and keyboard-operating clerks
2021
Directors and head of clerks
2091
Machine operators and controllers
2099
Other clerks not classified elsewhere
3001
Owners and operators of wholesale trade
3002
Owners and operators of retail trade
3009
Owners and operators of wholesale and retail trade
3011
Sale representatives, real estate and insurance agents, and auctioneers
3021
Sale representatives of manufactures involving travelling to sell the products
3031
Sale workers and sale assistants
3032
Street venders and newspapers sellers
3039
Sale workers, sale assistants, and related workers not classified elsewhere
3041
Directors and managers of sale workers, including purchase and sale managers
4001
Farmers and farm managers
4011
Farm workers not classified elsewhere
4021
Hunters and related workers
4031
Fishermen and related workers
4041
Forestry and related workers
5001
Miners and quarrymen
5011
Well drillers and related workers
5021
Mineral processors
5031
Workers in cement, lime, and sand production, and related workers
5099
Miners, quarrymen, and related workers not classified elsewhere
6001
Ship controllers and navigators
6002
Ship technicians
6011
Deck sailors and crews
6012
Freight cabin staffs and firemen
6021
Aircraft pilots, engineers, and related workers
6031
Train drivers and train technicians
6041
Motor vehicles drivers
6042
Drivers of animal vehicles
6043
Drivers of vehicles that use human workforce
6051
Train keepers
6061
Directors and superintendents of transportations
6062
Managers and controllers of air and water traffic
6071
Telephone and telegram operators
6072
Communication personnel, e.g. broadcast staffs
6081
Postmen and postal service employees
6082
News informants
6091
Public transport clerks
6092
Transportation workers not classified elsewhere
6093
Superintendents, controllers, time managers for traffic and communications
6094
Transport and communication workers not classified elsewhere
7001
Yarn and fibre preparers for weaving
7002
Yarn spinners
7003
Textile weavers and loom makers
7004
Knitters and operators of knitting machines
7005
Weaving designers
7006
Textile bleachers, dyers, and printing workers
7009
Workers in fibre and textiles production not classified elsewhere
7011
Dressmakers and garment makers
7012
Dressmakers of fur clothing and related workers
7013
Hat makers
7014
Mattress and cushion makers
7015
Textile, leather and related pattern makers and cutters
7016
Sewers and embroiders of textiles and leather clothing
7019
Makers of other textile products not classified elsewhere
7021
Shoe makers and related workers
7022
Footwear cutters and sewers and related workers
7029
Leather, plastic, rubber, and clothing workers not classified elsewhere
7031
Metal furnace operators
7032
Metal processing plant operators
7033
Workers in metal ironing and coiling plants
7035
Metal moulders
7036
Metal-compressing machine operators
7039
Workers in other metal production not classified elsewhere
7041
Assemblers of precision instruments, watch makers and repairers
7042
Jewelry and precious metal workers
7043
Jewelry cutters
7050
Assemblers and repairers of machinery, instruments makers, and machinery fitters
7051
Machinery operators
7052
Machinery installers and fitters (in addition to electrical and precision instruments)
7053
Repairers of machinery both motor and non-motor (in addition to electrical and precision instruments)
7054
Sheet-metal makers and repairers
7055
Plumbers and pipe fitters
7056
Metal welders and flame cutters
7057
Structural metal workers
7058
Metal plating and coating workers
7059
Other metal production workers not classified elsewhere
7061
Electricians and related workers
7062
Electric and electronic equipment mechanics and fitters
7063
Mechanic equipment, video and television repairers
7064
Telephone and telegram installers and repairers
7065
Electrical line installers and cable jointers
7069
Workers related to electric and electronic machines not classified elsewhere
7071
Carpenters and wood joiners
7072
Wood furniture makers
7073
Sawers and wood-related-equipment installers and fitters
7079
Wood treaters not classified elsewhere
7081
Building painters and maintenance workers
7082
Painters not in construction and maintenance work
7091
Brick and tile layers
7092
Masons and concrete moulders
7093
Concrete finishers and mosaic floor layers
7094
Construction insulator makers
7095
Workers in glass installations
7099
Other construction workers not classified elsewhere
8001
Typesetters and workers in printing production
8002
Printing-press-machine operators
8003
Printing machine makers
8004
Printing block carvers
8005
Picture printing finishers
8006
Book binders and related workers
8009
Workers in printing production not classified elsewhere
8011
Glass makers and related workers
8012
Potters and related workers
8013
Glass and pottery furnace operators
8014
Glass and pottery finishers
8019
Glass and pottery workers not classified elsewhere
8021
Grain grinders, millers, and related workers
8022
Bakers and related workers
8023
Candy and chocolate makers
8024
Beer, liquor, wine makers, and related workers
8025
Food preserving and processing workers
8026
Slaughters and meat preparers
8027
Workers in dairy product industries
8029
Workers in food industry not classified elsewhere
8031
Distilling and refining machine operators
8032
Workers related to the use of heat from chemical processes
8033
Workers related to the use of pressing and compression from chemical processes
8034
Paper pulp preparers
8035
Paper makers (both by hands and by machine)
8039
Workers in chemical and related processes not classified elsewhere
8041
Tobacco preparers
8042
Cigar rollers
8043
Cigarette rollers
8049
Other tobacco product makers not classified elsewhere
8051
Basket weavers and related workers
8052
Tire makers and related rubber product workers
8053
Plastic product makers
8054
Workers in the treatment of leather and pelt
8055
Photo developers and related workers
8056
Musical instrument makers
8057
Stone cutters and carvers
8058
Paper product makers
8059
Miscellaneous product makers not specified elsewhere
8061
Wrappers, labelers, and related workers
8071
Immobile machine and water boiler machine operators
8072
Crane operators
8074
Earthmover and other construction machine operators not specified elsewhere
8075
Lifting and moving truck drivers
8076
Immobile machine maintenance workers
8081
Transport laborers and freight handlers
8099
Other laborers not classified elsewhere
9001
Firemen and related workers
9002
Policemen and investigators
9009
Security guards, prison guards, and related workers
9011
Housekeepers
9012
Chefs and workers in restaurants
9019
Maid and domestic helpers
9021
Waiters and restaurant service workers
9031
Superintendents
9032
Janitors and related workers
9041
Hair dressers and related workers
9051
Laundry workers
9061
Professional athletes and the like
9071
Professional photographers and related workers
9081
Morticians and cremation professionals
9091
Service workers related to sports and entertainment not classified elsewhere
9097
Workers not classifiable by occupation
9098
Not working
9099
Unknown
9999
NIU (not in universe)
This variable indicates the person's occupation last year (3 digits).
Work: Occupation Variables -- PERSON
IPUMS
Principal industry last year, 3 digits
Principal industry last year, 3 digits
Principal industry last year, 3 digits
Principal industry last year, 3 digits
Principal industry last year, 3 digits
[Questions S10-S11 were asked of persons age 13+ who were working, as per question S9.]
S10. Kind of Industry
What kind of industry, business or service job? ____
Record characteristic of business/service. For example: farming, aerated water factory, government school, retail electric store
Column S8-S11: ask persons age 13 years or older (or who were born before 1 April 1977)
Column S9: Main occupation last year (1 April 1989 - 31 March 1990)
Ask: "During last year, what kind of work did ___(name)___ spend most of his/her time on?
Record the description of occupation, job description and position clearly. Examples are farmer, painter, engraver, furniture craftsman, laborer in rice mill, house maid, etc. (Do not record occupations such as government officer or merchant because they are not specific.)
Craftsman: Record what he/she made specifically such as making furniture, building houses, etc.
Teacher: Record the subject that he/she taught such as geography, math, arts, etc. If he/she taught more than one subject, record the subject on which he/she spent most of his/her time. If he/she is responsible for a particular, record the specific class he/she is responsible for such as grade1 in secondary school, grade 2 in primary school, etc.
Engineer or technician: Record the specific category of engineer or technician that he/she was such as civil engineer, electrical engineer, chemical engineer, mechanic technician, etc.
Clerk: Record the duty and description of the job such as typing, delivering documents, measuring, delivering products, etc.
Nurse: Record the type of nurse such as health care nurse, registered nurse, clinical nurse, home nurse, etc.
Driver: Record the type of automobile a person drove such as truck driver, pick-up driver, bus driver, rented-car driver, tricycle driver, etc.
Farmer: Record the type of crops grown in the plantation/farm such as coconut, fruits, palm trees, rubber, vegetables, flowers, cassava, corn, sugar cane, tobacco, etc.
Employee: Record the type of work that a person was employed to do such as carrying things, dish washing, laundry, digging soil, etc.
If there is more than one occupation, record only one main occupation last year by considering the following criteria:
1. The occupation at which the person spent most of his time during the last year period.
2. The occupation from which a person earned more income, if a person spent equal amount of time on many occupations.
If a person does not know the occupation or position but knows that he/she was working last year, record "working but not knowing occupation".
If a person did not work at all did not have any occupation last year, such as pensioner, lender, etc., record "not working" and omit Columns S10 and S11.
Column S10: Type of work or enterprise category of the work place (industry)
[Ask only persons who recorded occupations in column S9.]
Ask: "............... (name) ................" what enterprise or business are you working on, or what are you producing?
Guidelines for recording the type of work or enterprise category of the work place:
1. Specify the type of enterprise of the work place or the business place at which the person was working. Record specific type of business such as medical clinic for ear, nose, and throat; general X-ray company; radio and television repair shop, etc.
2. If it is the company or the department store that involves merchandise, record specifically whether the business is retail or wholesale, or both. Examples are retail radio company, wholesale and retail Thai merchandise shop, wholesale and retail dishware shop, coffee and beverage shop, retail pharmacy, retail gold and jewelry shop, etc.
3. If the work place belongs to the government or government enterprise, record the type of work or the name of the office at which the person was working. Examples are Interior Trading Department, Telephone Authority of Thailand, Hospital, Primary school, Thai merchandise retail shop of the Industrial Support Department etc. For the government's offices in the provinces, record the name, division or office such as District Educational Division District Revenue Office, etc.
4. If one work place involves more than one business or activity:
4.1 If each business has a separate office, record the type of business at which a person was working. For example, in a beer factory the wholesale office is located separately from the factory. If a person worked in the wholesale office, record "wholesale office of a beer factory."
4.2 If the activities are in the same office, but they are separated into divisions or sections, record the type of business is the most important in that work place and the division at which the respondent is working. For example, if a person is working in the fabric-dyeing division of a fabric-weaving factory, record a fabric-weaving factory, fabric-dyeing division. If a person is working in the mechanic shop of an automobile retail company, record automobile retail company, mechanic shop division, etc.
Example: Mr. A works in the fabric-printing division of a fabric-weaving factory and Mr. B is working in the fabric-dyeing division of the same factory. Record the type of business of Mr. A's work place as "fabric-weaving factory, fabric-printing division", and "fabric-weaving factory, fabric-dyeing division".
4.3 If all activities are in the same office and have not been divided into separated divisions, and the persons who work at the office engage in more than one activity, record the most important activity of that business. For example, in a shoe-producing shop that produces, sells, and repairs shoes, a person who sells shoes is the same person who makes and repairs shoes as well. In this case, record the type of business of a working place as "shoe-producing shop" because producing of shoes is more important than selling or repairing shoes.
4.4 In the case where a store has both retail and wholesale merchandise, ask whether the type of the largest amount merchandise is wholesale or retail and record that type. For example, a store sells can-products from abroad and has more wholesale than retail. Record the type of work place as "can-products wholesale shop". If the amount of wholesale and retail are the same, record the type of work place as "can-products wholesale and retail shop".
5. If the respondent operates the business at his/her own house, such as dressmaker shop, lawyer office, radio repair shop, laundry shop, consider the house where a person live as the business office. Record the job description or the type of business according to the type of activity. For example, Mr. B opened a radio repair shop at his own house, record "radio repair". Or Miss A opened a laundry shop at her own house, record "laundry service", etc.
6. If a person does not have any specific office or a permanent office/work place for his business, record the type of business in which a person is engaged. For example, Mr. A is a house painter, record "house painting". Mr. B is a rice farmer, record "rice farming".
7. For a taxi, motor-tricycle or bus driver, regardless of the vehicle ownership, the criteria for recording must be:
a) If it is a taxi or motor-tricycle, record "passenger transport"
b) If it is a bus, record "bus service".
8. For a person who drives a shipping truck, regardless of the vehicle ownership, record "Shipping merchandise". In the case that a person drives a shipping truck of a can goods wholesale shop, record "can goods wholesale shop".
9. The employee who works in a private house, such as housemaid, record the job description or the type of business at the working place as "private service". For example, Miss E does laundry at Mrs. A's house, record "employee in private household".
10. For laborers, record the job description or the type of business at the work place in which a person worked last year.
The job description or the type of business of the work place at which a person worked last year must correspond to the main occupation at which a person had engaged in previous year.
Prohibition in recording the job description or the type of business at the working place
Do not record the name of company, the name of department store, or the name of the shop without recording the type of business of the work place. Examples are Disco, Taew Aiew Hong shop, Chareonphan Shop, etc.
Persons age 13+ who worked last year
11
Growing of crops; market gardening; horticulture
12
Farming of animals
13
Growing of crops combined with farming of animals (mixed farming)
14
Agricultural and animal husbandry service activities, except veterinary activities
21
Forestry
22
Logging
30
Hunting, trapping and game propagation
41
Ocean and coastal water fishing, excluding factory-vessel fishing
42
Factory-vessel fishing
43
Inland water fishing
48
Undocumented
110
Coal mining
121
Iron ore mining
122
Metal mining except iron ore mining
130
Crude petroleum and natural gas
140
Stone quarrying, clay and sand pits
191
Salt mining and quarrying
192
Chemical and fertilizer mineral mining
193
Undocumented
199
Nonmetallic mining and quarrying not elsewhere classified
201
Slaughtering, preparation and preserving of meat
202
Manufacture of dairy products
203
Canning and preserving of fruits and vegetables
204
Canning and preserving of fish and other sea foods
205
Manufacture of grain mill products
206
Manufacture of bakery products
207
Sugar factories and refineries
208
Manufacture of cocoa, chocolate and sugar confectionery
209
Manufacture of miscellaneous food preparations
211
Distilling, rectifying and blending of spirits
212
Wine industries
213
Breweries and manufacturing of malt
214
Soft drinks and carbonated water industries
220
Tobacco manufactures
231
Spinning, weaving and finishing textiles
232
Knitting mills
233
Cordage, rope and twine industries
239
Manufacture of textiles not elsewhere classified
241
Manufacture of footwear
242
Repair of footwear
243
Manufacture of wearing apparel, except footwear
251
Sawmills, planing and other wood mills
252
Wooden and cane containers and cane small ware
259
Manufacture of cork and wood products not elsewhere classified
260
Manufacture of furniture and fixtures
271
Manufacture of pulp, paper and paperboard
272
Manufacture of articles of pulp, paper and paperboard
280
Printing, publishing and allied industries
291
Tanneries and leather finishing plants
292
Manufacture of fur products, except wearing apparel
293
Manufacture of leather products, except footwear and other wearing apparel
300
Manufacture of rubber products
311
Basic industrial chemicals, including fertilizers
312
Vegetable and animal oils and fats
313
Manufacture of paints, varnishes and lacquers
319
Manufacture of miscellaneous chemical products
321
Petroleum refineries
329
Manufacture of miscellaneous products of petroleum and coal
331
Manufacture of structural clay products
332
Manufacture of glass and glass products
333
Manufacture of pottery, china and earthenware
334
Manufacture of cement (hydraulic)
339
Manufacture of nonmetallic mineral products not elsewhere classified
341
Iron and steel basic industries
342
Nonferrous metal basic industries
350
Manufacture of metal products, except machinery and transport equipment
360
Manufacture of machinery, except electrical machinery
370
Manufacture of electrical machinery, apparatus, appliances and supplies
381
Ship building and repairing
382
Manufacture of railroad equipment
383
Manufacture of motor vehicles
384
Repair of motor vehicles
385
Manufacture of motorcycles and bicycles
386
Manufacture of aircraft
389
Manufacture of transport equipment, not elsewhere classified
391
Manufacture of professional, scientific, measuring and controlling instruments
392
Manufacture of photographic and optical goods
393
Manufacture of watches and clocks
394
Manufacture of jewellery and related articles.
395
Manufacture of musical instruments
399
Manufacturing industries not elsewhere classified
400
Construction
511
Electric light and power
512
Gas manufacture and distribution
513
Steam heat and power
521
Water supply
611
Wholesale trade
612
Retail trade
613
Undocumented
620
Banks and other financial Institutions
630
Insurance
640
Real estate
650
Undocumented
711
Railway transport
712
Tramway and omnibus operators
713
Road passenger transport, except omnibus operators
714
Road transport not elsewhere classified
715
Ocean transport, except in coastal waters
716
Water transport, except ocean transport
717
Air transport
718
Services incidental to transport
719
Transport not elsewhere classified
720
Storage and warehousing
730
Communication
810
Government services
821
Education services
822
Medical and other health services
823
Research and scientific institutes
824
Religious organizations
825
Welfare institutions
826
Trade associations and professional and labor organizations
827
Libraries, museums and botanical and zoological gardens
829
Community services not elsewhere classified
831
Legal services
832
Accounting, auditing and bookkeeping services
833
Engineering and technical services
839
Business services not elsewhere classified
841
Motion picture production, distribution and projection
842
Theatres and related services
843
Recreation services, except theatres and motion pictures
851
Domestic service
852
Restaurants, cafes, taverns and other drinking and eating places
853
Hotels, rooming houses, camps and other lodging places
854
Laundries and laundry services; cleaning and dyeing
855
Barber and beauty shops
856
Portrait and commercial photographic studios
857
Undocumented
859
Personal service not elsewhere classified
998
Unknown
999
NIU (not in universe)
This variable indicates the person's principal industry (3 digits) of employment last year.
Work: Industry Variables -- PERSON
IPUMS
Work status
Work status
Work status
Work status
Work status
[Questions S10-S11 were asked of persons age 13+ who were working, as per question S9.]
S11. Work Status
What's [respondent's] work status?
[] 1 Employer
[] 2 Self-employed/own-account worker
Government employee
[] 3 Officer
[] 4 Employee
[] 5 Government enterprise employee
[] 6 Private employee
[] 7 Unpaid family worker
Column S8-S11: ask persons age 13 years or older (or who were born before 1 April 1977)
Column S9: Main occupation last year (1 April 1989 - 31 March 1990)
Ask: "During last year, what kind of work did ___(name)___ spend most of his/her time on?
Record the description of occupation, job description and position clearly. Examples are farmer, painter, engraver, furniture craftsman, laborer in rice mill, house maid, etc. (Do not record occupations such as government officer or merchant because they are not specific.)
Craftsman: Record what he/she made specifically such as making furniture, building houses, etc.
Teacher: Record the subject that he/she taught such as geography, math, arts, etc. If he/she taught more than one subject, record the subject on which he/she spent most of his/her time. If he/she is responsible for a particular, record the specific class he/she is responsible for such as grade1 in secondary school, grade 2 in primary school, etc.
Engineer or technician: Record the specific category of engineer or technician that he/she was such as civil engineer, electrical engineer, chemical engineer, mechanic technician, etc.
Clerk: Record the duty and description of the job such as typing, delivering documents, measuring, delivering products, etc.
Nurse: Record the type of nurse such as health care nurse, registered nurse, clinical nurse, home nurse, etc.
Driver: Record the type of automobile a person drove such as truck driver, pick-up driver, bus driver, rented-car driver, tricycle driver, etc.
Farmer: Record the type of crops grown in the plantation/farm such as coconut, fruits, palm trees, rubber, vegetables, flowers, cassava, corn, sugar cane, tobacco, etc.
Employee: Record the type of work that a person was employed to do such as carrying things, dish washing, laundry, digging soil, etc.
If there is more than one occupation, record only one main occupation last year by considering the following criteria:
1. The occupation at which the person spent most of his time during the last year period.
2. The occupation from which a person earned more income, if a person spent equal amount of time on many occupations.
If a person does not know the occupation or position but knows that he/she was working last year, record "working but not knowing occupation".
If a person did not work at all did not have any occupation last year, such as pensioner, lender, etc., record "not working" and omit Columns S10 and S11.
Column S10: Type of work or enterprise category of the work place (industry)
[Ask only persons who recorded occupations in column S9.]
Ask: "............... (name) ................" what enterprise or business are you working on, or what are you producing?
Guidelines for recording the type of work or enterprise category of the work place:
1. Specify the type of enterprise of the work place or the business place at which the person was working. Record specific type of business such as medical clinic for ear, nose, and throat; general X-ray company; radio and television repair shop, etc.
2. If it is the company or the department store that involves merchandise, record specifically whether the business is retail or wholesale, or both. Examples are retail radio company, wholesale and retail Thai merchandise shop, wholesale and retail dishware shop, coffee and beverage shop, retail pharmacy, retail gold and jewelry shop, etc.
3. If the work place belongs to the government or government enterprise, record the type of work or the name of the office at which the person was working. Examples are Interior Trading Department, Telephone Authority of Thailand, Hospital, Primary school, Thai merchandise retail shop of the Industrial Support Department etc. For the government's offices in the provinces, record the name, division or office such as District Educational Division District Revenue Office, etc.
4. If one work place involves more than one business or activity:
4.1 If each business has a separate office, record the type of business at which a person was working. For example, in a beer factory the wholesale office is located separately from the factory. If a person worked in the wholesale office, record "wholesale office of a beer factory."
4.2 If the activities are in the same office, but they are separated into divisions or sections, record the type of business is the most important in that work place and the division at which the respondent is working. For example, if a person is working in the fabric-dyeing division of a fabric-weaving factory, record a fabric-weaving factory, fabric-dyeing division. If a person is working in the mechanic shop of an automobile retail company, record automobile retail company, mechanic shop division, etc.
Example: Mr. A works in the fabric-printing division of a fabric-weaving factory and Mr. B is working in the fabric-dyeing division of the same factory. Record the type of business of Mr. A's work place as "fabric-weaving factory, fabric-printing division", and "fabric-weaving factory, fabric-dyeing division".
4.3 If all activities are in the same office and have not been divided into separated divisions, and the persons who work at the office engage in more than one activity, record the most important activity of that business. For example, in a shoe-producing shop that produces, sells, and repairs shoes, a person who sells shoes is the same person who makes and repairs shoes as well. In this case, record the type of business of a working place as "shoe-producing shop" because producing of shoes is more important than selling or repairing shoes.
4.4 In the case where a store has both retail and wholesale merchandise, ask whether the type of the largest amount merchandise is wholesale or retail and record that type. For example, a store sells can-products from abroad and has more wholesale than retail. Record the type of work place as "can-products wholesale shop". If the amount of wholesale and retail are the same, record the type of work place as "can-products wholesale and retail shop".
5. If the respondent operates the business at his/her own house, such as dressmaker shop, lawyer office, radio repair shop, laundry shop, consider the house where a person live as the business office. Record the job description or the type of business according to the type of activity. For example, Mr. B opened a radio repair shop at his own house, record "radio repair". Or Miss A opened a laundry shop at her own house, record "laundry service", etc.
6. If a person does not have any specific office or a permanent office/work place for his business, record the type of business in which a person is engaged. For example, Mr. A is a house painter, record "house painting". Mr. B is a rice farmer, record "rice farming".
7. For a taxi, motor-tricycle or bus driver, regardless of the vehicle ownership, the criteria for recording must be:
a) If it is a taxi or motor-tricycle, record "passenger transport"
b) If it is a bus, record "bus service".
8. For a person who drives a shipping truck, regardless of the vehicle ownership, record "Shipping merchandise". In the case that a person drives a shipping truck of a can goods wholesale shop, record "can goods wholesale shop".
9. The employee who works in a private house, such as housemaid, record the job description or the type of business at the working place as "private service". For example, Miss E does laundry at Mrs. A's house, record "employee in private household".
10. For laborers, record the job description or the type of business at the work place in which a person worked last year.
The job description or the type of business of the work place at which a person worked last year must correspond to the main occupation at which a person had engaged in previous year.
Prohibition in recording the job description or the type of business at the working place
Do not record the name of company, the name of department store, or the name of the shop without recording the type of business of the work place. Examples are Disco, Taew Aiew Hong shop, Chareonphan Shop, etc.
Column S11: Work Status
[Ask only persons who answer occupations in column 9 and type of work or enterprise category of the work place in column 10.]
Ask: "......... (name)..........What is your work status?"
[] 1 Employer
[] 2 Own account worker
[] 3 Government officer
[] 4 Government employee
[] 5 Government enterprise employee
[] 6 Private employee
[] 7 Unpaid family worker
[] 9 Do not know
The code of the work status must correspond to the main occupation at which a person worked done during last year.
For those who work as laborer, in carrying things such as rice sacks, or carrying goods (with or without trolley) or other kind of works that require labor, and do not have permanent employers, consider the work status of these people as "private employee" and record code 6.
[Example on pages 89-90 is omitted.]
Persons age 13+ who worked
1
Employer
2
Self-employed or own account worker
3
Government officer
4
Government employee
5
Government enterprise employee
6
Private employee
7
Unpaid family worker
8
Unknown status
9
NIU (not in universe)
This variable indicates the person's work status.
Work Variables -- PERSON
IPUMS
Line number of mother
Line number of mother
Line number of mother
Line number of mother
Line number of mother
L12. Mother line number (Private household only) _ _
Does (name)'s mother live in this household?
Record last two digit of mother line number in S1 _ _
If mother does not live in this household record 95
Columns 12-18:
[Ask everyone]
Column 12: The serial number of mother (For private households only)
Ask: "Does the mother of ........ (name) ...... live in this household as well?"
If the mother lives in this household, record the serial number in the last 2 digits of the first column that corresponds to that person.
If the mother lives somewhere else, dies, lost, or the person does not know who his/her mother is, record "95" for that person.
Mother means the woman who gives birth to a child, excluding step-child or adopted child.
Persons in private 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
22
22
95
Mother not in household
98
Unknown
99
NIU (not in universe)
This variable indicates the line number of the person's mother.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Religion
Religion
Religion
Religion
Religion
L13. Religion
What's (name) religion?
[] 1 Buddhism
[] 2 Islam
[] 3 Christ
[] 4 Hindu
[] 5 Confucius
[] 6 Others
[] 7 Non-religion
Columns 12-18:
[Ask everyone]
Column 13: Religion
Ask ".......... (name).......... what is your religion?"
[] 1 Buddhism
[] 2 Islam
[] 3 Christianity
[] 4 Hindu
[] 5 Confucianism
[] 6 Others
[] 7No religion
[] 9 Does not know
If the father and mother have different religions and the child cannot answer the question, consider the child's religion the same as either the father's religion or the mother's religion.
All persons
1
Buddhist
2
Islam
3
Christianity
4
Hindu
5
Chinese confucian
6
Others
7
None
9
Unknown
This variable indicates the religion of the person.
Ethnicity and Language Variables -- PERSON
IPUMS
Province or country of birth
Province or country of birth
Province or country of birth
Province or country of birth
Province or country of birth
L14. Place of birth
Where was (name) born? ____
Record name of Changwat.
If born outside Thailand, record name of country.
Columns 12-18:
[Ask everyone]
Column 14: Place of birth
Ask: ".......... (name)............. Where were you born?"
Record "the name of the province of birth". If born outside Thailand, record "the name of the country of birth", e.g. United States, United Kingdom, etc.
For persons who were not born in the mother's usual living place, consider the province in which the mother's usual living place is as the province of birth. For example, the boy A was born in Siriraj Hospital in Bangkok, but the usual living place of A's mother is in Nakorn Pathom province. Consider Nakorn Pathom province as A's province of birth.
All persons
1
Bangkok metropolis
2
Krabi
3
Kanchanaburi
4
Kalasin
5
Kamphaeng Phet
6
Khon Kaen
7
Chanthaburi
8
Chachoengsao
9
Chon Buri
10
Chainat
11
Chaiyaphum
12
Chumphon
13
Chiang Rai
14
Chiang Mai
15
Trang
16
Trat
17
Tak
18
Nakhon Nayok
19
Nakhon Pathom
20
Nakhon Phanom
21
Nakhon Ratchasima
22
Nakhon Si Thammarat
23
Nakhon Sawan
24
Nonthaburi
25
Narathiwat
26
Nan
27
Buri Ram
28
Pathum Thani
29
Prachuap Khiri Khan
30
Prachin Buri
31
Pattani
32
Ayutthaya
33
Phayao
34
Phang Nga
35
Phatthalung
36
Phichit
37
Phitsanulok
38
Petchaburi
39
Petchabun
40
Phrae
41
Phuket
42
Maha Sarakam
43
Mukdahan
44
Mae Hong Son
45
Yasothon
46
Yala
47
Roi Et
48
Ranong
49
Rayong
50
Ratchaburi
51
Lop Buri
52
Lampang
53
Lamphun
54
Loei
55
Si Sa Ket
56
Sakon Nakhon
57
Songkhla
58
Satun
59
Samut Prakan
60
Samut Songkhram
61
Samut Sakhon
62
Saraburi
63
Sing Buri
64
Sukhothai
65
Suphan Buri
66
Surat Thani
67
Surin
68
Nong Khai
69
Angthong
70
Udon Thani
71
Uttaradit
72
Uthai Thani
73
Ubon Ratchathani
78
Same province as present residence
79
Unknown province, but born in Thailand
80
China
81
Japan
82
Hong Kong
83
Taiwan
84
Malaysia, Singapore
85
Vietnam
86
Laos
87
Bangladesh, India, Pakistan
88
Other Asian countries
89
U.S.A
90
Canada
91
Mexico, Brazil
92
Other American countries
93
UK, France, Italy, Germany
94
Other European countries
95
Australia
96
Other
97
Africa and other
98
Unknown country
99
Unknown
This variable indicates the province or country of birth of the person.
Nativity and Birthplace Variables -- PERSON
IPUMS
Length of residence
Length of residence
Length of residence
Length of residence
Length of residence
L15. Duration of present residence
How many years has (name) been living in this village/municipal area? _ _
Record number of year. If less than 1 year record 0. If over 5 years skip to L19. If do not know, ask whether living over or less than 5 years. Record over 5 years or less than 5 years.
Columns 12-18:
[Ask everyone]
Columns 15-18: Migration
Column 15: Duration of Present Residence
Ask: "............ (name) ............. how many years you have been living continuously in this village or in this municipality.?"
Record the "number of years" for which a person has lived continuously in the village or municipality until 1 April, 1990.
If the respondent has lived there for less than 1 year, record "0".
If the respondent cannot tell the number years for which he/she has lived in the village or municipality, ask whether he/she has lived there for more than 5 years or less than 5 years.
[] If it is less than 5 years, record "less than 5 years".
[] If it is more than 5 years, record "more than 5 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 years and over
97
Less than 5 years
98
More than 5 years
99
Unknown
This variable indicates the number of years the person has lived at their current residence.
Migration Variables -- PERSON
IPUMS
Previous province or country of residence
Previous province or country of residence
Previous province or country of residence
Previous province or country of residence
Previous province or country of residence
L15. Duration of present residence
How many years has (name) been living in this village/municipal area? _ _
Record number of year. If less than 1 year record 0. If over 5 years skip to L19. If do not know, ask whether living over or less than 5 years. Record over 5 years or less than 5 years.
Migration Status
Ask only persons who record 0-4 year and less than 5 years in L15.
L16. Previous place of residence
What was the previous Changwat (name) moved from?
If moved from other changwat, write Changwat name. If moved within Changwat write Amphoe name. If moved from other country write country name.
For children age 0-4 year living here since birth, record "Did not move".
Columns 15-18: Migration
Column 15: Duration of Present Residence
Ask: "............ (name) ............. how many years you have been living continuously in this village or in this municipality.?"
Record the "number of years" for which a person has lived continuously in the village or municipality until 1 April, 1990.
If the respondent has lived there for less than 1 year, record "0".
If the respondent cannot tell the number years for which he/she has lived in the village or municipality, ask whether he/she has lived there for more than 5 years or less than 5 years.
[] If it is less than 5 years, record "less than 5 years".
[] If it is more than 5 years, record "more than 5 years".
Columns 16-18:
[Ask only persons who record 0, 1, 2, 3, 4, or "less than 5 years" in column 15.]
Column 16: The last usual living place before moving to the current usual living place
Ask: "Could you tell me the name of the last province in which you lived before moving to this place?"
1. If the respondent moved from other province, record "the name of province". If he/she does not know the name of the province, record "does not know the province".
2. If the respondent moved within the same province, record "the name of district" that can be the same or different from the district in which he/she currently lives. If he/she does not know the name of the district, record "does not know the district".
3. If the respondent moved from other country, record "the name of the country". If he/she does not know the name of the country, record "does not know the country".
4. For children aged 0-4 who have lived in this village or municipality since birth, record "not moved" and skip to column 27.
Persons age 5+ who have lived fewer than 5 years at their current residence
NIU (not in universe)
1
Bangkok metropolis
2
Krabi
3
Kanchanaburi
4
Kalasin
5
Kamphaeng Phet
6
Khon Kaen
7
Chanthaburi
8
Chachoengsao
9
Chon Buri
10
Chainat
11
Chaiyaphum
12
Chumphon
13
Chiang Rai
14
Chiang Mai
15
Trang
16
Trat
17
Tak
18
Nakhon Nayok
19
Nakhon Pathom
20
Nakhon Phanom
21
Nakhon Ratchasima
22
Nakhon Si Thammarat
23
Nakhon Sawan
24
Nonthaburi
25
Narathiwat
26
Nan
27
Buri Ram
28
Pathum Thani
29
Prachuap Khiri Khan
30
Prachin Buri
31
Pattani
32
Ayutthaya
33
Phayao
34
Phang Nga
35
Phatthalung
36
Phichit
37
Phitsanulok
38
Petchaburi
39
Petchabun
40
Phrae
41
Phuket
42
Maha Sarakam
43
Mukdahan
44
Mae Hong Son
45
Yasothon
46
Yala
47
Roi Et
48
Ranong
49
Rayong
50
Ratchaburi
51
Lop Buri
52
Lampang
53
Lamphun
54
Loei
55
Si Sa Ket
56
Sakon Nakhon
57
Songkhla
58
Satun
59
Samut Prakan
60
Samut Songkhram
61
Samut Sakhon
62
Saraburi
63
Sing Buri
64
Sukhothai
65
Suphan Buri
66
Surat Thani
67
Surin
68
Nong Khai
69
Angthong
70
Udon Thani
71
Uttaradit
72
Uthai Thani
73
Ubon Ratchathani
77
Did not move (children age 0 to 4)
78
Migrate within the same province
79
Unknown province, but within Thailand
80
China
81
Japan
82
Hong Kong
83
Taiwan
84
Malaysia, Singapore
85
Vietnam
86
Laos
87
Bangladesh, India, Pakistan
88
Other Asian countries
89
U.S.A
90
Canada
91
Mexico, Brazil
92
Other American countries
93
UK, France, Italy, Germany
94
Other European countries
95
Australia
96
Other
97
Africa and other
98
Unknown country
99
Unknown
This variable indicates the previous province or country of residence of the person.
Migration Variables -- PERSON
IPUMS
Place of previous residence- rural/urban
Place of previous residence- rural/urban
Place of previous residence- rural/urban
Place of previous residence- rural/urban
Place of previous residence- rural/urban
L15. Duration of present residence
How many years has (name) been living in this village/municipal area? _ _
Record number of year. If less than 1 year record 0. If over 5 years skip to L19. If do not know, ask whether living over or less than 5 years. Record over 5 years or less than 5 years.
Migration Status
Ask only persons who record 0-4 year and less than 5 years in L15.
L17. Did (name) move from village or municipal area?
Only persons who migrated within Thailand
[] 1 Village
[] 2 Municipality
Columns 15-18: Migration
Column 15: Duration of Present Residence
Ask: "............ (name) ............. how many years you have been living continuously in this village or in this municipality.?"
Record the "number of years" for which a person has lived continuously in the village or municipality until 1 April, 1990.
If the respondent has lived there for less than 1 year, record "0".
If the respondent cannot tell the number years for which he/she has lived in the village or municipality, ask whether he/she has lived there for more than 5 years or less than 5 years.
[] If it is less than 5 years, record "less than 5 years".
[] If it is more than 5 years, record "more than 5 years".
Columns 16-18:
[Ask only persons who record 0, 1, 2, 3, 4, or "less than 5 years" in column 15.]
Column 17: Only for persons who migrate within Thailand
Ask: "Did ...... (name) ..... move from the village or municipality?"
If moving from the village, record Code 1.
If moving from the municipality, record Code 2.
Persons who migrated within Thailand
1
Village
2
Municipal Area
8
Unknown
9
NIU (not in universe)
This variable indicates if the previous place of residence of the person was in a rural or uban area.
Migration Variables -- PERSON
IPUMS
Reason for moving
Reason for moving
Reason for moving
Reason for moving
Reason for moving
L15. Duration of present residence
How many years has (name) been living in this village/municipal area? _ _
Record number of year. If less than 1 year record 0. If over 5 years skip to L19. If do not know, ask whether living over or less than 5 years. Record over 5 years or less than 5 years.
Migration Status
Ask only persons who record 0-4 year and less than 5 years in L15.
L18. Reason for moving
Why did (name) move?
[] To study
[] Moved with spouse
[] Moved with head of household
[] Looking for job
[] Job transfer
[] Return home
[] Vacation
[] Marriage
[] Priesthood, etc.
Columns 15-18: Migration
Column 15: Duration of Present Residence
Ask: "............ (name) ............. how many years you have been living continuously in this village or in this municipality.?"
Record the "number of years" for which a person has lived continuously in the village or municipality until 1 April, 1990.
If the respondent has lived there for less than 1 year, record "0".
If the respondent cannot tell the number years for which he/she has lived in the village or municipality, ask whether he/she has lived there for more than 5 years or less than 5 years.
[] If it is less than 5 years, record "less than 5 years".
[] If it is more than 5 years, record "more than 5 years".
Columns 16-18:
[Ask only persons who record 0, 1, 2, 3, 4, or "less than 5 years" in column 15.]
Column 18: Reason for migration
Ask: "Why did ....... (name) ....... move to this place?"
Record the reason of migration into this village or municipality. Examples:
Education
Following husband or wife
Following head of the household
Looking for a job
Returning home
School vacation
Marriage
Others
Etc.
[An example of the instruction for columns 12-18 is omitted.]
Persons who migrated
1
To study
2
Follow household head
3
Follow spouse
4
Follow relative
5
To look for work
6
Enroll transfer job
7
Job assignment
8
For other work reasons
9
To return home
10
School vacation
11
Married
12
To be ordained
13
Change residence
14
Institution
98
Unknown
99
NIU (not in universe)
This variable indicates the person's reason for moving to their current place of residence.
Migration Variables -- PERSON
IPUMS
School attendance
School attendance
School attendance
School attendance
School attendance
L19. School Attendance
Is (name) attending a school or any other educational institution (as of January 1990)?
Ask only persons age 5-30 years
Record level _ _
If never attending school, record 'never'.
Column 19: Current level of education
[Ask only persons aged 5-30 years]
Ask: "Is ____ (name) ___ currently studying?" Count up to 1 January 1990.
Currently studying means studying in the regular education system, vocational education (both in a regular period or part time), and university level (both in closed-system and open-system universities). For persons who take short courses, such as hair dressing, tailoring, car driving, radio repairing) in vocational education in which there are no regular subjects taught, consider them as not currently studying.
1. If a person is currently studying, record the level of schooling.
Instruction for recording the level of schooling:
1.1 A person who is studying a regular education system or who is studying at the level before primary school, in primary school, junior secondary and senior secondary school (high school), record the grade at which a person is studying such as kindergarten grade 2, primary school grade 3, secondary school grade 2, secondary school grade 4, etc.
If a person is studying in a continuing education program, record the grade that he/she is currently attending such as grade 2, grade 4, etc.
1.2 For persons who are studying in vocational education or university, count the number of years that he/she has been studying, record the number of years, level of education, and the name of institution at which he/she is studying. Examples:
Year 1 - Vocational Education - Patumwan Mechanical College
Year 2 - Higher Vocational Education - Chiang Mai Commercial School
Year 1 - General Vocational Education - Samut Prakarn Technological School
Year 2 - Bachelor's Degree - Chiang Mai University
Year 1 - Bachelor's Degree - Rajabhat University at Suan Dusit
Year 3 - Bachelor's Degree - Sukhothai Thammatiraj Open University
Year 4 - Bachelor's Degree - Thammasat University
Year 2 - Middle-level Drama Arts - College of Drama Arts
1.3 For persons who are studying in special or part-time curricula in professional or vocational education, record the number of years required to complete that particular curriculum in addition to recording the level of education according to 1.2. For example:
a) For a Higher Vocational Education that requires 2 years for completion in the regular program but requires 3 years for completion in the part-time program, record: Year 3 of higher vocational education (3-year curriculum), Patumwan Mechanical College.
b) For a Bachelor's Degree that usually requires 4 years for completion but requires only 2 years for persons who have already obtained a diploma, record year 3 of Bachelor's Degree (2-year curriculum), Rajapat University at Suan Sunanta.
1.4 For persons who spend time on studying more than the required number of years to complete the curriculum, record the number of year of the curriculum as the year at which the person is studying. For example, for a person who has been studying at Ramkamhang University for 6 years but has not graduated, record year 4 of Bachelor's Degree, Ramkamhang University.
a) If the respondent is not studying, record "No".
b) In the case that the respondent is studying, but he/she does not know the grade of schooling or the year in college/university but knows only the level of education, record the level of education that is known and the name of institution.
c) In the case that the respondent is studying, but he/she does not know the grade of schooling or the year in college/university or the level of education, record "studying-not knowing level"
Persons age 5-30
1
Does not attend school
10
Kindergarten
11
Primary level 1
12
Primary level 2
13
Primary level 3
14
Primary level 4
15
Primary level 5 (P5 or M1 in old system)
16
Primary level 6 (P6 or M2 in old system)
19
Primary level, unknown year
21
General secondary level, year 1
22
General secondary level, year 2 (M.S.1 in old system)
23
General secondary level, year 3 (M.S.2 in old system)
24
General secondary level, year 3 (M.S.3 in old system)
25
General secondary level, year 4
26
General secondary level, year 5
27
General secondary level, year 6
29
General secondary level, unknown year
31
General university level, year 1
32
General university level, year 2
33
General university level, year 3
34
General university level, year 4
35
General university level, year 5
37
Master
38
Ph.D.
39
General university level, unknown year
41
Vocational secondary level, year 1
42
Vocational secondary level, year 2
43
Vocational secondary level, year 3
44
Upper vocational secondary level, year 1
45
Upper vocational secondary level, year 2
46
Upper vocational secondary level, year 3
49
Upper vocational secondary level, unknown year
51
Vocational university, year 1
52
Vocational university, year 2
53
Vocational university, teacher certificate
54
Vocational university, technique certificate
59
Vocational university, unknown year
61
Secondary level, teacher certificate (continue from M.3 in old system)
62
Secondary level, teacher certificate (continue from M.6 in old system)
63
Upper secondary level 1, teacher certificate
64
Upper secondary level 2, teacher certificate
65
University level (teacher training), year 1
66
University level (teacher training), year 2
67
University level (teacher training), year 3
68
University level (teacher training), year 4
69
University level (teacher training), unknown year
73
Nursing education (1 year curriculum)
74
Nursing education (obstetrician certificate)
75
Nursing education, year 1-3 of nursing diploma
76
Nursing education (nursing diploma)
77
Nursing education (year 3 of 4 year curriculum)
78
Nursing education (university level)
79
Nursing education, unknown level
80
Short vocational education
81
Third grade religion (Primary level 4)
82
Buddhism theology grades 3-4 (Secondary level 3)
83
Buddhism theology grades 5-6 (Secondary level 6)
84
Buddhism theology grade 9 (University level)
89
Religious study, unknown level
90
Other education
98
Unknown
99
NIU (not in universe)
This variable indicates the grade of the current level of education of the person.
Education Variables -- PERSON
IPUMS
Literacy
Literacy
Literacy
Literacy
Literacy
L20. Literacy
Can (name) read and write any language?
Ask only persons 5 years and over
If can read/write more than one language, record code of language that the person can read/write most.
[] 0 Illiterate
[] 1 Thai
[] 2 Chinese
[] 3 Malaysian, Yawee
[] 4 English
[] 5 Others
Column 20: Literacy
[Ask only persons aged 5 years or older]
Ask: "............ (name) ........... are you able to read and write in any language?"
a) If the respondent cannot read and write, record "0".
b) If the respondent can read and write in one language, record the language code that he/she can read and write.
c) If the respondent can read and write in more than one language, record the code of the language in which he/she can read and write most.
d) If the respondent knows other languages or the respondent can read and write but does not know the language in which he/she can read and write most, record "5".
e) If the respondent does not know whether he/she can read and write, record "9".
Persons age 5+
1
Illiterate
2
Thai
3
Chinese
4
Malaysia, Yawi
5
English
6
Other
8
Unknown
9
NIU (not in universe)
This variable indicates the literacy of the person.
Education Variables -- PERSON
IPUMS
Number of children living in household
Number of children living in household
Number of children living in household
Number of children living in household
Number of children living in household
Children ever born
(excluding step child and adopted child)
For ever married women (codes codes 2-6 in S8)
L21. Number of children ever born living in this household
How many children ever born does (name) have and live in this household? _ _
If none, record '00'.
Columns 21-23: Number of ever born children (as of 12:00 a.m. of 1 April 1990), excluding step-children and adopted children of the woman
[Ask only ever married women who record codes 2-6 in Column 8]
Column 21: Number of ever born children in this household
Ask "......... (name) ........... how many children were ever born in this household?"
Record the number of ever born children that live in this household on the line that corresponds to that particular woman.
If there is no ever born child in this household, record "00" on the line that corresponds to that particular woman.
Ever-married women
None
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
20
20
24
24
98
Unknown
99
NIU (not in universe)
This variable indicates the number of the person?s ever born children living in the household.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of children living elsewhere
Number of children living elsewhere
Number of children living elsewhere
Number of children living elsewhere
Number of children living elsewhere
Children ever born
(excluding step child and adopted child)
For ever married women (codes codes 2-6 in S8)
L22. Number of children ever born living outside household
How many children still living outside household does (name) have?
If none record '00'.
Columns 21-23: Number of ever born children (as of 12:00 a.m. of 1 April 1990), excluding step-children and adopted children of the woman
[Ask only ever married women who record codes 2-6 in Column 8]
Column 22: Number of ever born children who live elsewhere
Ask: "........ (name) ....... how many of your ever born children who live elsewhere?"
Record the number of ever born children who live elsewhere on the line that corresponds to that particular woman.
If there is no ever born child who lives elsewhere, record "00" on the line that corresponds to that particular woman.
Ever-married women
None
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
15
15
16
16
20
20
23
23
98
Unknown
99
NIU (not in universe)
This variable indicates number of the person?s children ever born and living outside the household.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of children who died
Number of children who died
Number of children who died
Number of children who died
Number of children who died
Children ever born
(excluding step child and adopted child)
For ever married women (codes codes 2-6 in S8)
L23. Number of children ever born who have died
How many children ever born who have died does (name) have?
If none record '00'.
Columns 21-23: Number of ever born children (as of 12:00 a.m. of 1 April 1990), excluding step-children and adopted children of the woman
[Ask only ever married women who record codes 2-6 in Column 8]
Column 23: Number of ever born children who died
Ask: "........ (name) ....... how many of your ever born children who died?"
Record the number of ever born children who died elsewhere on the line that corresponds to that particular woman.
If there is no ever born child who died, record "00" on the line that corresponds to that particular woman.
For ever married women who never have children, record "00" on the same line of that particular woman in column 21, 22, and 23.
Ever-married women
None
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
16
16
98
Unknown
99
NIU (not in universe)
This variable indicates number of the person?s children who died.
Fertility and Mortality Variables -- PERSON
IPUMS
Contraception method
Contraception method
Contraception method
Contraception method
Contraception method
L24. Contraception
Does (name) or husband practicing any kind of contraception?
Ask only married women (record code 2 in S8 and age less than 50 years)
[] 0 Not practice
[] 1 Oral pills
[] 2 IUD
[] 3 Injection
[] 4 Female sterilization
[] 5 Male sterilization
[] 6 Condom
[] 7 Norplant
[] 8 Others and unknown method
Column 24: Contraception
[Ask only women who record code 2 in column 8 and who is 50 years old or younger]
Ask: "Currently, are you or your husband use any contraception method?"
[] 0 No
[] 1 Oral pills
[] 2 IUD
[] 3 Injection
[] 4 Female sterilization
[] 5 Male sterilization
[] 6 Condom
[] 7 Norplant
[] 8 Others or does not know how to use contraception
[] 9 Does not know whether using contraception or not
Currently married women age 50 or less
1
No contraception
2
Pill
3
Intra-uterine device
4
Injection (DMPA)
5
Female sterilization
6
Male sterilization
7
Condom
8
Norplant
9
Other and unknown method
98
Unknown
99
NIU (not in universe)
This variable indicates if the person or the person?s spouse is currently using contraception.
Fertility and Mortality Variables -- PERSON
IPUMS
Principal occupation last week, 3 digits
Principal occupation last week, 3 digits
Principal occupation last week, 3 digits
Principal occupation last week, 3 digits
Principal occupation last week, 3 digits
L25. Last week occupation
During March 25-31 1990, what job did (name) spend most of the time working on?
Ask only persons age 13 years and over or persons born before1977
Example; typist, accountant, teacher, farmer, etc. and skip to L27.
If did not work, enter 'not work'.
Columns 25-26:
[Ask persons who aged 13 years or older or who were born before 1 April 1990]
Column 25: Occupation during the last 7 days (25-31 March 1990)
Ask: "Between 25-31 March, 2000 ...... (name) ...... what occupation did you spend most of your time on?"
Record the specific occupation, job description, or position that a person did during the 7 days before the census date. Examples are commercial rice farming, cassava planting, coconut growing, electrical-appliance sale person, chief of the finance department, painter, molder, furniture carpenter, laborer, maid, soil digger, etc. (Do not record the occupation such as government officer, businessman because they are not specific.)
For craftsman, teacher, engineer, mechanic, medical doctor, nurse, driver, agricultural worker, employee, record their specific occupations in the same way as the record of last year occupation (see the instruction for recording last year occupation from the PHC2 form, part 2, column 9.)
If in the past week before the census date, a person had more than one occupation, record only one occupation by considering the following criteria:
1. The occupation in which a person spent most of his time in the past 7 days before the census date.
2. The occupation in which a person earned higher wage or income than other occupations, if he/she spent equal amount of time for both occupations.
If the respondent has a permanent (or regular) occupation, such as a primary-school teacher in a government school or a typist in an automobile sell company, and:
1. During the past 7 days (25-31 March 1990) he/she did not work because he/she was sick or took a leave of absence, the occupation of that person during the last 7 days before the census date was his/her permanent work.
2. During the past 7 days (25-31 March 2000), he/she did not work on his permanent job because he/she took a leave of absence or school was closed for vacation, and he was engaged in other work, the occupation in the last 7 days before the census date was another work that he was doing during the last 7 days.
Example: Mr. A is a primary-school teacher in a government school during 25-31 March, 1990, and the school was closed for vacation. During that time, Mr. A had made bamboo baskets for sale at his house. Therefore, Mr. A's occupation during the last 7 days before the census date was a bamboo-basket maker.
A permanent job in this context means the occupation in which a person did not work in the past 7 days before the census date but still received wage, salary or anything in return on a regular basis, and that person still maintain his position during that 7 days period before the date of the census even though he may not receive wage, salary or anything in return during the time he did not work.
If the enumerator does not knowing the occupation but knows that the person was working, record "working but not knowing occupation."
If record the occupation a person did during the week before the census date or record "working but not knowing the occupation" in column 25, skip to column 27.
For persons who do not have permanent occupation such as laborer, if in the last 7 days (25-31 March 1990) he/she did not work, record "not working".
For those who are not working such as the pensioner, lenders, etc., consider them as not working and record "not working".
If record "Not working" in column 25, continue to the next column.
Persons age 13+
1
Architects
2
Engineers
3
Explorers
11
Chemists
12
Physicists
19
Physical scientists not classified elsewhere
21
Veterinarians
22
Biologists and zoologists not classified elsewhere
23
Agricultural scientists, forestry professionals and scientists
31
Physicians and surgeons
32
Dentists
41
Nurses
42
Midwifery professionals
49
Other nursing professionals not classified elsewhere
51
Pharmacists
52
Ophthalmologists
53
Medical technicians, health and public health personnel
59
Other health professionals not classified elsewhere
61
Professors, lecturers, and teaching professionals in university
62
General teachers in primary, secondary, and vocational education
63
Specialized teachers in primary, secondary, and vocational education
68
Administrative workers of universities and schools
69
Other teaching professionals not classified elsewhere
71
Monks, priests, ascetics, and religious teachers
79
Other religious workers not specified elsewhere
81
Lawyers, judges, and legal professionals
91
Painters, sculptors, engravers, and related artists
92
Composers, journalists, and related writers
93
Actors, musicians, dancers, and related workers
101
Draftsmen and modelers (in architectures, civil engineering, electrical and mechanical works)
109
Scientists, technicians, technical engineers not classified elsewhere
111
Accountants
112
Social workers
113
Librarians and archivists
114
Economists, mathematicians, and statisticians
119
Other academic professions not classified elsewhere, including sociologists, anthropologists, historians, political scientists, etc.
1001
Administrative and managerial government officials
1002
All military personnel
1011
Directors, managers, head workers, and owners of mines, factories, and utility services
1012
Directors, managers, departmental head, and head workers of wholesale and retail trades
1013
Directors, managers, departmental head, head workers, and owners of financial institutions, insurance, and real estate business
1014
Directors, managers, departmental head, head workers, and owners of transportation business, warehouse, and communications
1015
Directors, managers, departmental head, head workers, and owners of service enterprises
1019
Directors, managers, departmental head, head workers, and owners not classified elsewhere
2001
Accounting clerks and cashiers
2011
Secretaries and keyboard-operating clerks
2021
Directors and head of clerks
2091
Machine operators and controllers
2099
Other clerks not classified elsewhere
3001
Owners and operators of wholesale trade
3002
Owners and operators of retail trade
3009
Owners and operators of wholesale and retail trade
3011
Sale representatives, real estate and insurance agents, and auctioneers
3021
Sale representatives of manufactures involving travelling to sell the products
3031
Sale workers and sale assistants
3032
Street venders and newspapers sellers
3039
Sale workers, sale assistants, and related workers not classified elsewhere
3041
Directors and managers of sale workers, including purchase and sale managers
4001
Farmers and farm managers
4011
Farm workers not classified elsewhere
4021
Hunters and related workers
4031
Fishermen and related workers
4041
Forestry and related workers
5001
Miners and quarrymen
5011
Well drillers and related workers
5021
Mineral processors
5031
Workers in cement, lime, and sand production, and related workers
5099
Miners, quarrymen, and related workers not classified elsewhere
6001
Ship controllers and navigators
6002
Ship technicians
6011
Deck sailors and crews
6012
Freight cabin staffs and firemen
6021
Aircraft pilots, engineers, and related workers
6031
Train drivers and train technicians
6041
Motor vehicles drivers
6042
Drivers of animal vehicles
6043
Drivers of vehicles that use human workforce
6051
Train keepers
6061
Directors and superintendents of transportations
6062
Managers and controllers of air and water traffic
6071
Telephone and telegram operators
6072
Communication personnel, e.g. broadcast staffs
6081
Postmen and postal service employees
6082
News informants
6091
Public transport clerks
6092
Transportation workers not classified elsewhere
6093
Superintendents, controllers, time managers for traffic and communications
6094
Transport and communication workers not classified elsewhere
7001
Yarn and fibre preparers for weaving
7002
Yarn spinners
7003
Textile weavers and loom makers
7004
Knitters and operators of knitting machines
7005
Weaving designers
7006
Textile bleachers, dyers, and printing workers
7009
Workers in fibre and textiles production not classified elsewhere
7011
Dressmakers and garment makers
7012
Dressmakers of fur clothing and related workers
7013
Hat makers
7014
Mattress and cushion makers
7015
Textile, leather and related pattern makers and cutters
7016
Sewers and embroiders of textiles and leather clothing
7019
Makers of other textile products not classified elsewhere
7021
Shoe makers and related workers
7022
Footwear cutters and sewers and related workers
7029
Leather, plastic, rubber, and clothing workers not classified elsewhere
7031
Metal furnace operators
7032
Metal processing plant operators
7033
Workers in metal ironing and coiling plants
7035
Metal moulders
7036
Metal-compressing machine operators
7039
Workers in other metal production not classified elsewhere
7041
Assemblers of precision instruments, watch makers and repairers
7042
Jewelry and precious metal workers
7043
Jewelry cutters
7050
Assemblers and repairers of machinery, instruments makers, and machinery fitters
7051
Machinery operators
7052
Machinery installers and fitters (in addition to electrical and precision instruments)
7053
Repairers of machinery both motor and non-motor (in addition to electrical and precision instruments)
7054
Sheet-metal makers and repairers
7055
Plumbers and pipe fitters
7056
Metal welders and flame cutters
7057
Structural metal workers
7058
Metal plating and coating workers
7059
Other metal production workers not classified elsewhere
7061
Electricians and related workers
7062
Electric and electronic equipment mechanics and fitters
7063
Mechanic equipment, video and television repairers
7064
Telephone and telegram installers and repairers
7065
Electrical line installers and cable jointers
7069
Workers related to electric and electronic machines not classified elsewhere
7071
Carpenters and wood joiners
7072
Wood furniture makers
7073
Sawers and wood-related-equipment installers and fitters
7079
Wood treaters not classified elsewhere
7081
Building painters and maintenance workers
7082
Painters not in construction and maintenance work
7091
Brick and tile layers
7092
Masons and concrete moulders
7093
Concrete finishers and mosaic floor layers
7094
Construction insulator makers
7095
Workers in glass installations
7099
Other construction workers not classified elsewhere
8001
Typesetters and workers in printing production
8002
Printing-press-machine operators
8003
Printing machine makers
8004
Printing block carvers
8005
Picture printing finishers
8006
Book binders and related workers
8009
Workers in printing production not classified elsewhere
8011
Glass makers and related workers
8012
Potters and related workers
8013
Glass and pottery furnace operators
8014
Glass and pottery finishers
8019
Glass and pottery workers not classified elsewhere
8021
Grain grinders, millers, and related workers
8022
Bakers and related workers
8023
Candy and chocolate makers
8024
Beer, liquor, wine makers, and related workers
8025
Food preserving and processing workers
8026
Slaughters and meat preparers
8027
Workers in dairy product industries
8029
Workers in food industry not classified elsewhere
8031
Distilling and refining machine operators
8032
Workers related to the use of heat from chemical processes
8033
Workers related to the use of pressing and compression from chemical processes
8034
Paper pulp preparers
8035
Paper makers (both by hands and by machine)
8039
Workers in chemical and related processes not classified elsewhere
8041
Tobacco preparers
8042
Cigar rollers
8043
Cigarette rollers
8049
Other tobacco product makers not classified elsewhere
8051
Basket weavers and related workers
8052
Tire makers and related rubber product workers
8053
Plastic product makers
8054
Workers in the treatment of leather and pelt
8055
Photo developers and related workers
8056
Musical instrument makers
8057
Stone cutters and carvers
8058
Paper product makers
8059
Miscellaneous product makers not specified elsewhere
8061
Wrappers, labelers, and related workers
8071
Immobile machine and water boiler machine operators
8072
Crane operators
8074
Earthmover and other construction machine operators not specified elsewhere
8075
Lifting and moving truck drivers
8076
Immobile machine maintenance workers
8081
Transport laborers and freight handlers
8099
Other laborers not classified elsewhere
9001
Firemen and related workers
9002
Policemen and investigators
9009
Security guards, prison guards, and related workers
9011
Housekeepers
9012
Chefs and workers in restaurants
9019
Maid and domestic helpers
9021
Waiters and restaurant service workers
9031
Superintendents
9032
Janitors and related workers
9041
Hair dressers and related workers
9051
Laundry workers
9061
Professional athletes and the like
9071
Professional photographers and related workers
9081
Morticians and cremation professionals
9091
Service workers related to sports and entertainment not classified elsewhere
9970
Workers not classifiable by occupation
9980
Not working
9998
Unknown
9999
NIU (not in universe)
This variable indicates the person's principal occupation (3 digits) last week.
Work: Occupation Variables -- PERSON
IPUMS
Reason for not working
Reason for not working
Reason for not working
Reason for not working
Reason for not working
L25. Last week occupation
During March 25-31 1990, what job did (name) spend most of the time working on?
Ask only persons age 13 years and over or persons born before1977
Example; typist, accountant, teacher, farmer, etc. and skip to L27.
If did not work, enter 'not work'.
L26. Reason for not working
Why (name) did not work?
Ask only persons age 13 years and over or persons born before1977
Example: looking for work, waiting for farm season, study, home worker, aged, young, ill, disable, pensioner, millionaire, priest, etc.
Columns 25-26:
[Ask persons who aged 13 years or older or who were born before 1 April 1990]
Column 25: Occupation during the last 7 days (25-31 March 1990)
Ask: "Between 25-31 March, 2000 ...... (name) ...... what occupation did you spend most of your time on?"
Record the specific occupation, job description, or position that a person did during the 7 days before the census date. Examples are commercial rice farming, cassava planting, coconut growing, electrical-appliance sale person, chief of the finance department, painter, molder, furniture carpenter, laborer, maid, soil digger, etc. (Do not record the occupation such as government officer, businessman because they are not specific.)
For craftsman, teacher, engineer, mechanic, medical doctor, nurse, driver, agricultural worker, employee, record their specific occupations in the same way as the record of last year occupation (see the instruction for recording last year occupation from the PHC2 form, part 2, column 9.)
If in the past week before the census date, a person had more than one occupation, record only one occupation by considering the following criteria:
1. The occupation in which a person spent most of his time in the past 7 days before the census date.
2. The occupation in which a person earned higher wage or income than other occupations, if he/she spent equal amount of time for both occupations.
If the respondent has a permanent (or regular) occupation, such as a primary-school teacher in a government school or a typist in an automobile sell company, and:
1. During the past 7 days (25-31 March 1990) he/she did not work because he/she was sick or took a leave of absence, the occupation of that person during the last 7 days before the census date was his/her permanent work.
2. During the past 7 days (25-31 March 2000), he/she did not work on his permanent job because he/she took a leave of absence or school was closed for vacation, and he was engaged in other work, the occupation in the last 7 days before the census date was another work that he was doing during the last 7 days.
Example: Mr. A is a primary-school teacher in a government school during 25-31 March, 1990, and the school was closed for vacation. During that time, Mr. A had made bamboo baskets for sale at his house. Therefore, Mr. A's occupation during the last 7 days before the census date was a bamboo-basket maker.
A permanent job in this context means the occupation in which a person did not work in the past 7 days before the census date but still received wage, salary or anything in return on a regular basis, and that person still maintain his position during that 7 days period before the date of the census even though he may not receive wage, salary or anything in return during the time he did not work.
If the enumerator does not knowing the occupation but knows that the person was working, record "working but not knowing occupation."
If record the occupation a person did during the week before the census date or record "working but not knowing the occupation" in column 25, skip to column 27.
For persons who do not have permanent occupation such as laborer, if in the last 7 days (25-31 March 1990) he/she did not work, record "not working".
For those who are not working such as the pensioner, lenders, etc., consider them as not working and record "not working".
If record "Not working" in column 25, continue to the next column.
Column 26: Reason for not working
[Only for those who record "Not working" in the column 25]
Ask: "why ...... (name) ...... did you not work during the 25-31 March, 2000?"
Record the reason for not working. Examples:
Looking for a job
Waiting for planting season
Studying
Working on house chore, housewife
Too young to work
Elderly
Ill, disabled, unable to work
Pensioner
Priest, monk
Others
Etc.
Persons age 13+ who are not working
1
Looking for work, inexperienced
2
Looking for work, experienced worker
3
Waiting for farm season
4
Housewife
5
Student
6
Unable to work
7
Elderly
8
Priest, nun
9
Institutional
10
Wealthy
11
Pension
12
Sick
13
Waiting to be called to work
14
Not interested in working
15
Other
98
Unknown
99
NIU (not in universe)
This variable indicates the reason the person was not working last week.
Work Variables -- PERSON
IPUMS
Disability
Disability
Disability
Disability
Disability
L27. Disability
Is (name) disable?
[] 0 Not disabled
[] 1 Blind
[] 2 Deaf
[] 3 Dumb
[] 4 Armless, legless
[] 5 Mentally retarded
[] 6 Insanity
[] 7 Paralyzed
[] 8 Others (specify) ____
Column 27: Disability
[Ask everyone]
Ask: "Is ....... (name) ....... disabled?"
[] 0 Not disabled
[] 1 Blind (both eyes)
[] 2 Deaf (both ears)
[] 3 Mute
[] 4 Lost arms or legs
[] 5 Intellectually disabled
[] 6 Mentally handicapped
[] 7 Paralyzed
[] 8 Other (specify)
[] 9 Do not know
All persons
Not disabled
1
Completely blind
2
Completely deaf
3
Mute
4
Partial loss of arm/leg
5
Intellectually handicapped
6
Mentally handicapped/insane
7
Paralyzed
8
Others
9
Unknown
This variable indicates disability of the person.
Disability Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
[Questions S1- S6 were asked of every person.]
S6. Age _ _
Record age as of last birthday prior to 1 April 1990. If age less than 1 year, record "00".
For columns 1-6, ask and record details of everyone.
Column S6: Age
Ask: "........ (name).......... how old are you?"
Record the full age as of the last birthday before the 1st April 1990, by using a 2-digit number.
1. If the age is less than 1 year, record "00".
2. If the age is 98 years and over, record "98".
3. If the answer is in the lunar month and zodiac year, ask for the approximate age. Then, look up the age from the comparison table provided by comparing the age and the year of birth. For example, the person born on the 12th month in the year of great snake and the age is approximately 30 years or older. In the comparison table, the age of a person age 30+ born in the year of the great snake is 37. Then, record "37".
4. If answer is the solar month and year, check the comparable table and record the corresponding age.
5. If the person does not know the month and year of birth, ask the respondent to estimate his age and record the age according to the answer, such as approximately 22 year record "22".
6. If age is unknown, record "99" and continue asking all columns.
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 and older
This variable indicates the age of the person.
Demographic Variables -- PERSON
IPUMS
Number of children ever born
Number of children ever born
Number of children ever born
Number of children ever born
Number of children ever born
Children ever born
(excluding step child and adopted child)
For ever married women (codes codes 2-6 in S8)
L21. Number of children ever born living in this household
How many children ever born does (name) have and live in this household? _ _
If none, record '00'.
L22. Number of children ever born living outside household
How many children still living outside household does (name) have?
If none record '00'.
L23. Number of children ever born who have died
How many children ever born who have died does (name) have?
If none record '00'.
Columns 21-23: Number of ever born children (as of 12:00 a.m. of 1 April 1990), excluding step-children and adopted children of the woman
[Ask only ever married women who record codes 2-6 in Column 8]
Column 21: Number of ever born children in this household
Ask "......... (name) ........... how many children were ever born in this household?"
Record the number of ever born children that live in this household on the line that corresponds to that particular woman.
If there is no ever born child in this household, record "00" on the line that corresponds to that particular woman.
Column 22: Number of ever born children who live elsewhere
Ask: "........ (name) ....... how many of your ever born children who live elsewhere?"
Record the number of ever born children who live elsewhere on the line that corresponds to that particular woman.
If there is no ever born child who lives elsewhere, record "00" on the line that corresponds to that particular woman.
Column 23: Number of ever born children who died
Ask: "........ (name) ....... how many of your ever born children who died?"
Record the number of ever born children who died elsewhere on the line that corresponds to that particular woman.
If there is no ever born child who died, record "00" on the line that corresponds to that particular woman.
For ever married women who never have children, record "00" on the same line of that particular woman in column 21, 22, and 23.
Ever-married women
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
98
Unknown
99
NIU (not in universe)
This variable indicates the person?s number of children ever born.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of children surviving
Number of children surviving
Number of children surviving
Number of children surviving
Number of children surviving
Children ever born
(excluding step child and adopted child)
For ever married women (codes codes 2-6 in S8)
L21. Number of children ever born living in this household
How many children ever born does (name) have and live in this household? _ _
If none, record '00'.
L22. Number of children ever born living outside household
How many children still living outside household does (name) have?
If none record '00'.
L23. Number of children ever born who have died
How many children ever born who have died does (name) have?
If none record '00'.
Columns 21-23: Number of ever born children (as of 12:00 a.m. of 1 April 1990), excluding step-children and adopted children of the woman
[Ask only ever married women who record codes 2-6 in Column 8]
Column 21: Number of ever born children in this household
Ask "......... (name) ........... how many children were ever born in this household?"
Record the number of ever born children that live in this household on the line that corresponds to that particular woman.
If there is no ever born child in this household, record "00" on the line that corresponds to that particular woman.
Column 22: Number of ever born children who live elsewhere
Ask: "........ (name) ....... how many of your ever born children who live elsewhere?"
Record the number of ever born children who live elsewhere on the line that corresponds to that particular woman.
If there is no ever born child who lives elsewhere, record "00" on the line that corresponds to that particular woman.
Column 23: Number of ever born children who died
Ask: "........ (name) ....... how many of your ever born children who died?"
Record the number of ever born children who died elsewhere on the line that corresponds to that particular woman.
If there is no ever born child who died, record "00" on the line that corresponds to that particular woman.
For ever married women who never have children, record "00" on the same line of that particular woman in column 21, 22, and 23.
Ever-married women
None
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
20
20
21
21
22
22
23
23
98
Unknown
99
NIU (not in universe)
This variable indicates the person?s number of children surviving.
Fertility and Mortality Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
Person weight
All persons
This variable indicates the person weight.
Technical 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.
Technical Person Variables -- PERSON
IPUMS
Disability status
Disability status
Disability status
Disability status
Disability status
NIU (not in universe)
1
Yes, disabled
2
No, not disabled
9
Unknown
DISABLED indicates whether the person reported a disability of any kind.
Disability Variables -- PERSON
IPUMS
Years residing in current 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
Country of birth
Country of birth
Country of birth
Country of birth
Country of birth
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11051
Ethiopia (including Eritrea)
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11990
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12990
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13011
Algeria/Tunisia
13020
Egypt
13021
Egypt/Sudan
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13990
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14990
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15021
Upper Volta
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15081
Guinea-Bissau and Cape Verde
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15990
West Africa, n.s.
19990
Africa, other and n.s.
19991
Central and South Africa
19992
East and Central Africa
19993
Southeastern Africa
19994
Saharan Africa
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St Thomas
21240
St. Vincent
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21990
Other Caribbean and n.s.
21991
Caribbean commonwealth, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22990
Central America, n.s.
22991
Central America and Caribbean
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23990
South America, other and n.s.
23991
South America or Central America, n.s.
23992
Central/South America and Caribbean
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24990
North America, other and n.s.
24991
North America/Oceania
29990
Americas, other and n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
31990
Eastern Asia, n.s.
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32041
India/Pakistan
32042
India/Pakistan/Bangladesh/Sri Lanka
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32101
Pakistan/Bangladesh
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
32999
South-Central Asia, n.s.
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33030
East Timor
33040
Indonesia
33050
Laos
33060
Malaysia
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
33990
South-Eastern Asia, n.s.
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34071
Israel/Palestine
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestinian Territories
34111
West Bank
34112
Gaza Strip
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34151
Syria/Lebanon
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34990
Western Asia, n.s.
34991
Middle East
39990
Asia, other and n.s.
39991
Central Asia and Middle East, n.s.
39992
Far East, n.s.
39993
Eastern/Southeast Asia, n.s.
39994
Asia/Middle East, other and n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41021
Bulgaria/Greece
41030
Czech Republic/Czechoslovakia
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41990
Eastern Europe, other and n.s.
41991
Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia
41992
Central-Eastern Europe
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42100
Svalbard and Jan Mayen Islands
42110
Sweden
42120
United Kingdom
42990
Northern Europe, n.s.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia and Herzegovina
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43071
Vatican City
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43121
Spain/Portugal
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43143
Serbia and Montenegro
43144
Kosovo
43990
Southern Europe, n.s.
43991
Gibraltar/Malta
43992
Portugal/Greece
43993
Italy, Holy See, San Marino
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxemburg
44022
Belgium/Netherlands/Luxemburg
44030
France
44040
Germany
44041
Germany/Austria
44042
West Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44990
Western Europe, n.s.
44991
Belgium, Denmark, Luxembourg, Netherlands
49991
Turkey and U.S.S.R.
49992
European Union
49993
European Union (Original 15)
49994
Other European Union
49995
EEA, Switzerland, associated microstates
49999
Europe, other and n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
52999
Melanesia, n.s.
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53990
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Eastern Samoa
54070
Tokelau
54080
Tonga
54090
Tuvalu
54100
Wallis and Futuna Isls.
54990
Polynesia, n.s.
55000
U.S. Pacific Possessions
55010
American Samoa
55020
Baker Island
55030
Guam
55040
Howland Island
55050
Johnston Atoll
55060
Kingman Reef
55070
Midway Islands
55080
Wake Island
55990
Other US Pacific
59990
Oceania, n.s.
60000
OTHER ABROAD
60100
U.S. Outlying Areas and Territories
60200
Africa/Other
60300
Central/South America or Africa
60400
Asia/Africa
60500
Europe, Australia, New Zealand
60600
Other commonwealth
60700
Asia, Australia, Oceania, n.s.
69900
Other countries, not specified
99999
Unknown
BPLCOUNTRY indicates the person's country of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
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
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20+
98
Unknown
99
NIU (not in universe)
HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of own children living elsewhere
Number of own children living elsewhere
Number of own children living elsewhere
Number of own children living elsewhere
Number of own children living elsewhere
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
98
Unknown
99
NIU (not in universe)
AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census.
Fertility and Mortality Variables -- PERSON
IPUMS
Country of previous residence
Country of previous residence
Country of previous residence
Country of previous residence
Country of previous residence
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11999
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12100
Sao Tome and Principe
12999
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13020
Egypt/United Arab Rep.
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13990
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14999
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Cape Verde
15160
Sierra Leone
15170
Togo
19999
Africa, n.s.
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St. Thomas
21240
St. Vincent and the Grenadines
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21999
Caribbean, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22999
Central America, n.s.
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23990
South America, n.s.
23991
Central and Latin America
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
Saint Pierre and Miquelon
24050
United States
24051
U.S. Outlying Areas and Territories
24999
U.S.A, Canada, Mexico
29999
Americas, n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32041
India, Pakistan, Bangladesh, Sri Lanka
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33040
Indonesia
33050
Laos
33060
Malaysia
33061
Malaysia and Singapore
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestine
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34190
Middle East, not specified
34191
Arabia
34199
Gulf countries
39999
Asia, n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41021
Albania/Bulgaria/Romania
41030
Czech Republic
41031
Czechoslovakia/Yugoslavia
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41999
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42110
Sweden
42120
United Kingdom
42199
Scandinavia
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43143
Serbia and Montenegro
43999
Southern Europe, n.s.
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxemburg
44022
Benelux (Belgium/Netherlands/Luxemburg)
44030
France
44040
Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
49999
Europe, n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51021
New Zealand/New Guinea
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53999
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Tokelau
54070
Tonga
54080
Tuvalu
54090
Wallis and Futuna Isls.
59999
Oceania, n.s.
60000
Other
60010
Europe, Australia, New Zealand
60020
Asia and Oceania, n.s.
90000
Non-migrants (International)
99998
Response suppressed
99999
Unknown
MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category.
Migration Variables -- PERSON
IPUMS
Nativity status
Nativity status
Nativity status
Nativity status
Nativity status
NIU (not universe)
1
Native-born
2
Foreign-born
9
Unknown/missing
NATIVITY indicates whether the person was native- or foreign-born.
Nativity and Birthplace Variables -- PERSON
IPUMS
Year [person version]
Year [person version]
Year [person version]
Year [person version]
Year [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
Country [person version]
Country [person version]
Country [person version]
Country [person version]
Country [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS