DDI_URY_2006_PHC_v01_M_v03_A_IPUMS
Minnesota Population Center
2016-04-25
NADA
- Version 03 (April 2018). This version is identical to version 6.4 (April 2016), except for the DDI Document ID and ID Number which were updated.
Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.
The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.
Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)
Extended National Survey of Homes (ENHA) 2006 - IPUMS Subset
PHC 2006 (IPUMS Harmonized Subset)
URY_2006_PHC_v01_M_v03_A_IPUMS
National Institute of Statistics
Minnesota Population Center
(c) Copyright 2006, National Institute of Statistics and Minnesota Population Center
NADA
National Institute of Statistics
Population and Housing Census [hh/popcen]
Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.
In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming.
In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.
Technical Household Variables -- HOUSEHOLD
Group Quarters Variables -- HOUSEHOLD
Household Economic Variables -- HOUSEHOLD
Utilities Variables -- HOUSEHOLD
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Dwelling Characteristics Variables -- HOUSEHOLD
Constructed Household Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Constructed Family Interrelationship Variables -- PERSON
Demographic Variables -- PERSON
Geography: Global Variables -- HOUSEHOLD
Migration Variables -- PERSON
Fertility and Mortality Variables -- PERSON
Ethnicity and Language Variables -- PERSON
Work Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Disability Variables -- PERSON
Education Variables -- PERSON
Income Variables -- PERSON
Geography: M-Z Variables -- HOUSEHOLD
Other Household Variables -- HOUSEHOLD
Other Person Variables -- PERSON
Work: Occupation Variables -- PERSON
Work: Industry 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.
Uruguay
National coverage
Private home and person
UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: No
UNIT DESCRIPTIONS:
- Dwellings: Any room or set of rooms and their components that occupy a building or a structurally separate section of the building that, due to construction of modification, is intended for human habitation and is not being used for any other purpose at the time of enumeration.
- Households: A person or group of people that live under the same roof and share a common food budget. Typically, these people pool their income to create a common fund for food and other necessities, and share use of durable or non-durable goods. Generally, the household members are linked by family ties, but it is not necessary that the members be related in order to comply with the definition of the household. A household can also be constituted by a single person.
Resident population in private housing
Census/enumeration data [cen]
MICRODATA SOURCE: National Institute of Statistics
SAMPLE DESIGN: Probability sample, stratified with ideal allocation for the index of average comfort variable (proxy variable of the income of the homes) for the subpopulations of reference. The sample is selected in 3 phases: locality, census zone, and private dwelling. The sample is independent month by month.
SAMPLE UNIT: Dwelling
SAMPLE FRACTION: 8.4%
SAMPLE SIZE (person records): 256,866
Face-to-face [f2f]
Single Questionnaire with trimester thematic modules
De jure, CENSUS DAY: N/A, FIELD WORK PERIOD: Year 2006
Personal Interview
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:
Uruguay, National Institute of Statistics, Extended National Survey of Homes (ENHA)
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.
URY2006-H-H
Household records
0
180
URY2006-P-H
Person records
0
311
Record type
Record type
Record type
Record type
Record type
RECTYPE identifies the type of record for the case: household or person.
NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types.
RECTYPE is a 1-digit alphabetic (non-numeric) variable.
H = Household record
P = Person record
Technical Household Variables -- HOUSEHOLD
IPUMS
Year
Year
Year
Year
Year
1960
1960
1962
1962
1963
1963
1964
1964
1966
1966
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
YEAR gives the year in which the census was taken.
Technical Household Variables -- HOUSEHOLD
IPUMS
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
32197001
Argentina 1970
32199101
Argentina 1991
32200101
Argentina 2001
32201001
Argentina 2010
32219801
Argentina 1980
40197101
Austria 1971
40198101
Austria 1981
40199101
Austria 1991
40200101
Austria 2001
40201101
Austria 2011
50199101
Bangladesh 1991
50200101
Bangladesh 2001
50201101
Bangladesh 2011
51200101
Armenia 2001
51201101
Armenia 2011
68197601
Bolivia 1976
68199201
Bolivia 1992
68200101
Bolivia 2001
76196001
Brazil 1960
76197001
Brazil 1970
76198001
Brazil 1980
76199101
Brazil 1991
76200001
Brazil 2000
76201001
Brazil 2010
112199901
Belarus 1999
116199801
Cambodia 1998
116200801
Cambodia 2008
120197601
Cameroon 1976
120198701
Cameroon 1987
120200501
Cameroon 2005
124197101
Canada 1971
124198101
Canada 1981
124199101
Canada 1991
124200101
Canada 2001
152196001
Chile 1960
152197001
Chile 1970
152198201
Chile 1982
152199201
Chile 1992
152200201
Chile 2002
156198201
China 1982
156199001
China 1990
170196401
Colombia 1964
170197301
Colombia 1973
170198501
Colombia 1985
170199301
Colombia 1993
170200501
Colombia 2005
188196301
Costa Rica 1963
188197301
Costa Rica 1973
188198401
Costa Rica 1984
188200001
Costa Rica 2000
188201101
Costa Rica 2011
192200201
Cuba 2002
214196001
Dominican Republic 1960
214197001
Dominican Republic 1970
214198101
Dominican Republic 1981
214200201
Dominican Republic 2002
214201001
Dominican Republic 2010
218196201
Ecuador 1962
218197401
Ecuador 1974
218198201
Ecuador 1982
218199001
Ecuador 1990
218200101
Ecuador 2001
218201001
Ecuador 2010
222199201
El Salvador 1992
222200701
El Salvador 2007
231198401
Ethiopia 1984
231199401
Ethiopia 1994
231200701
Ethiopia 2007
242196601
Fiji 1966
242197601
Fiji 1976
242198601
Fiji 1986
242199601
Fiji 1996
242200701
Fiji 2007
250196201
France 1962
250196801
France 1968
250197501
France 1975
250198201
France 1982
250199001
France 1990
250199901
France 1999
250200601
France 2006
250201101
France 2011
275199701
Palestine 1997
275200701
Palestine 2007
276197001
Germany 1970 (West)
276197101
Germany 1971 (East)
276198101
Germany 1981 (East)
276198701
Germany 1987 (West)
288198401
Ghana 1984
288200001
Ghana 2000
288201001
Ghana 2010
300197101
Greece 1971
300198101
Greece 1981
300199101
Greece 1991
300200101
Greece 2001
324198301
Guinea 1983
324199601
Guinea 1996
332197101
Haiti 1971
332198201
Haiti 1982
332200301
Haiti 2003
348197001
Hungary 1970
348198001
Hungary 1980
348199001
Hungary 1990
348200101
Hungary 2001
356198341
India 1983
356198741
India 1987
356199341
India 1993
356199941
India 1999
356200441
India 2004
360197101
Indonesia 1971
360197601
Indonesia 1976
360198001
Indonesia 1980
360198501
Indonesia 1985
360199001
Indonesia 1990
360199501
Indonesia 1995
360200001
Indonesia 2000
360200501
Indonesia 2005
360201001
Indonesia 2010
364200601
Iran 2006
368199701
Iraq 1997
372197101
Ireland 1971
372197901
Ireland 1979
372198101
Ireland 1981
372198601
Ireland 1986
372199101
Ireland 1991
372199601
Ireland 1996
372200201
Ireland 2002
372200601
Ireland 2006
372201101
Ireland 2011
376197201
Israel 1972
376198301
Israel 1983
376199501
Israel 1995
380200101
Italy 2001
388198201
Jamaica 1982
388199101
Jamaica 1991
388200101
Jamaica 2001
400200401
Jordan 2004
404196901
Kenya 1969
404197901
Kenya 1979
404198901
Kenya 1989
404199901
Kenya 1999
404200901
Kenya 2009
417199901
Kyrgyz Republic 1999
417200901
Kyrgyz Republic 2009
430197401
Liberia 1974
430200801
Liberia 2008
454198701
Malawi 1987
454199801
Malawi 1998
454200801
Malawi 2008
458197001
Malaysia 1970
458198001
Malaysia 1980
458199101
Malaysia 1991
458200001
Malaysia 2000
466198701
Mali 1987
466199801
Mali 1998
466200901
Mali 2009
484196001
Mexico 1960
484197001
Mexico 1970
484199001
Mexico 1990
484199501
Mexico 1995
484200001
Mexico 2000
484200501
Mexico 2005
484201001
Mexico 2010
496198901
Mongolia 1989
496200001
Mongolia 2000
504198201
Morocco 1982
504199401
Morocco 1994
504200401
Morocco 2004
508199701
Mozambique 1997
508200701
Mozambique 2007
524200101
Nepal 2001
528196001
Netherlands 1960
528197101
Netherlands 1971
528200101
Netherlands 2001
558197101
Nicaragua 1971
558199501
Nicaragua 1995
558200501
Nicaragua 2005
566200621
Nigeria 2006
566200721
Nigeria 2007
566200821
Nigeria 2008
566200921
Nigeria 2009
566201021
Nigeria 2010
586197301
Pakistan 1973
586198101
Pakistan 1981
586199801
Pakistan 1998
591196001
Panama 1960
591197001
Panama 1970
591198001
Panama 1980
591199001
Panama 1990
591200001
Panama 2000
591201001
Panama 2010
600196201
Paraguay 1962
600197201
Paraguay 1972
600198201
Paraguay 1982
600199201
Paraguay 1992
600200201
Paraguay 2002
604199301
Peru 1993
604200701
Peru 2007
608199001
Philippines 1990
608199501
Philippines 1995
608200001
Philippines 2000
620198101
Portugal 1981
620199101
Portugal 1991
620200101
Portugal 2001
620201101
Portugal 2011
630197001
Puerto Rico 1970
630198001
Puerto Rico 1980
630199001
Puerto Rico 1990
630200001
Puerto Rico 2000
630200501
Puerto Rico 2005
630201001
Puerto Rico 2010
642197701
Romania 1977
642199201
Romania 1992
642200201
Romania 2002
646199101
Rwanda 1991
646200201
Rwanda 2002
662198001
Saint Lucia 1980
662199101
Saint Lucia 1991
686198801
Senegal 1988
686200201
Senegal 2002
694200401
Sierra Leone 2004
704198901
Vietnam 1989
704199901
Vietnam 1999
704200901
Vietnam 2009
705200201
Slovenia 2002
710199601
South Africa 1996
710200101
South Africa 2001
710200701
South Africa 2007
710201101
South Africa 2011
724198101
Spain 1981
724199101
Spain 1991
724200101
Spain 2001
724201101
Spain 2011
728200801
South Sudan 2008
729200801
Sudan 2008
756197001
Switzerland 1970
756198001
Switzerland 1980
756199001
Switzerland 1990
756200001
Switzerland 2000
764197001
Thailand 1970
764198001
Thailand 1980
764199001
Thailand 1990
764200001
Thailand 2000
792198501
Turkey 1985
792199001
Turkey 1990
792200001
Turkey 2000
800199101
Uganda 1991
800200201
Uganda 2002
804200101
Ukraine 2001
818199601
Egypt 1996
818200601
Egypt 2006
826199101
United Kingdom 1991
826200101
United Kingdom 2001
834198801
Tanzania 1988
834200201
Tanzania 2002
840196001
United States 1960
840197001
United States 1970
840198001
United States 1980
840199001
United States 1990
840200001
United States 2000
840200501
United States 2005
840201001
United States 2010
854198501
Burkina Faso 1985
854199601
Burkina Faso 1996
854200601
Burkina Faso 2006
858196301
Uruguay 1963
858197501
Uruguay 1975
858198501
Uruguay 1985
858199601
Uruguay 1996
858200621
Uruguay 2006
858201101
Uruguay 2011
862197101
Venezuela 1971
862198101
Venezuela 1981
862199001
Venezuela 1990
862200101
Venezuela 2001
894199001
Zambia 1990
894200001
Zambia 2000
894201001
Zambia 2010
SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows:
The first 3 digits are the ISO/UN codes used in COUNTRY
The next 4 digits are the year of the census/survey
The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41).
Technical Household Variables -- HOUSEHOLD
IPUMS
Household serial number
Household serial number
Household serial number
Household serial number
Household serial number
SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database.
SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred:
Chile 1970, 1992, 2002
Colombia 1993, 2005
Costa Rica 1984, 2000
Cuba 2002
Dominican Republic 1981, 2002, 2010
Ecuador 1990, 2001
Germany 1971
Hungary 1980, 1990, 2001
Jamaica 1982, 1991, 2001
Malaysia 1970, 1991, 2000
Mexico 1995, 1990, 2000, 2005
Nigeria 2006
Panama 2000
Peru 1993, 2007
Portugal 1981, 1991, 2001
Spain 1991
Uruguay 2011
Venezuela 1990, 2001
Vietnam 1989
In all other samples, the last 3 digits are always zeroes.
SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.
SERIAL is a 10-digit numeric variable.
The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.
PERSONS is a 3-digit numeric variable.
Technical Household Variables -- HOUSEHOLD
IPUMS
Subsample number
Subsample number
Subsample number
Subsample number
Subsample number
1st 1% subsample
1
2nd 1% subsample
2
3rd 1% subsample
3
4th 1% subsample
4
5th 1% subsample
5
6th 1% subsample
6
7th 1% subsample
7
8th 1% subsample
8
9th 1% subsample
9
10th 1% subsample
10
11th 1% subsample
11
12th 1% subsample
12
13th 1% subsample
13
14th 1% subsample
14
15th 1% subsample
15
16th 1% subsample
16
17th 1% subsample
17
18th 1% subsample
18
19th 1% subsample
19
20th 1% subsample
20
21st 1% subsample
21
22nd 1% subsample
22
23rd 1% subsample
23
24th 1% subsample
24
25th 1% subsample
25
26th 1% subsample
26
27th 1% subsample
27
28th 1% subsample
28
29th 1% subsample
29
30th 1% subsample
30
31st 1% subsample
31
32nd 1% subsample
32
33rd 1% subsample
33
34th 1% subsample
34
35th 1% subsample
35
36th 1% subsample
36
37th 1% subsample
37
38th 1% subsample
38
39th 1% subsample
39
40th 1% subsample
40
41st 1% subsample
41
42nd 1% subsample
42
43rd 1% subsample
43
44th 1% subsample
44
45th 1% subsample
45
46th 1% subsample
46
47th 1% subsample
47
48th 1% subsample
48
49th 1% subsample
49
50th 1% subsample
50
51st 1% subsample
51
52nd 1% subsample
52
53rd 1% subsample
53
54th 1% subsample
54
55th 1% subsample
55
56th 1% subsample
56
57th 1% subsample
57
58th 1% subsample
58
59th 1% subsample
59
60th 1% subsample
60
61st 1% subsample
61
62nd 1% subsample
62
63rd 1% subsample
63
64th 1% subsample
64
65th 1% subsample
65
66th 1% subsample
66
67th 1% subsample
67
68th 1% subsample
68
69th 1% subsample
69
70th 1% subsample
70
71st 1% subsample
71
72nd 1% subsample
72
73rd 1% subsample
73
74th 1% subsample
74
75th 1% subsample
75
76th 1% subsample
76
77th 1% subsample
77
78th 1% subsample
78
79th 1% subsample
79
80th 1% subsample
80
81st 1% subsample
81
82nd 1% subsample
82
83rd 1% subsample
83
84th 1% subsample
84
85th 1% subsample
85
86th 1% subsample
86
87th 1% subsample
87
88th 1% subsample
88
89th 1% subsample
89
90th 1% subsample
90
91st 1% subsample
91
92nd 1% subsample
92
93rd 1% subsample
93
94th 1% subsample
94
95th 1% subsample
95
96th 1% subsample
96
97th 1% subsample
97
98th 1% subsample
98
99th 1% subsample
99
100th 1% subsample
SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples.
Technical Household Variables -- HOUSEHOLD
IPUMS
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Vacant
10
Households
20
Group quarters, n.s.
21
Institutions
22
Other group quarters
29
1-person unit created by splitting large household
99
Unknown/group quarters not identified
GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools.
Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification.
Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions.
Group Quarters Variables -- HOUSEHOLD
IPUMS
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
Number of international migrants
Number of international migrants
Number of international migrants
Number of international migrants
Number of international migrants
No migrants
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10 or more
98
Unknown
99
NIU (not in universe)
INTMIG1 indicates the number of people from the household who traveled to another country to live and have not permanently returned.
Household Economic Variables -- HOUSEHOLD
IPUMS
Receives remittances
Receives remittances
Receives remittances
Receives remittances
Receives remittances
No
1
Yes
8
Unknown
9
NIU (not in universe)
REMITT indicates whether the household received remittances from persons living elsewhere.
Household Economic 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
Sewage
Sewage
Sewage
Sewage
Sewage
NIU (not in universe)
10
Connected to sewage system or septic tank
11
Sewage system (public sewage disposal)
12
Septic tank (private sewage disposal)
20
Not connected to sewage disposal system
99
Unknown
SEWAGE indicates whether the household has access to a sewage system or septic tank.
Utilities Variables -- HOUSEHOLD
IPUMS
Telephone availability
Telephone availability
Telephone availability
Telephone availability
Telephone availability
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
PHONE indicates the availability of a telephone in the dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Cellular phone availability
Cellular phone availability
Cellular phone availability
Cellular phone availability
Cellular phone availability
NIU (not in universe)
1
Yes
2
No
9
Unknown
CELL indicates the availability of a cellular phone in the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Trash disposal
Trash disposal
Trash disposal
Trash disposal
Trash disposal
NIU (not in universe)
10
Collected by a sanitation service
11
Collected directly from the household or dwelling
12
Collected indirectly from a garbage container or deposit
13
Collected by a sanitation service only
14
Collected by a sanitation service and disposed of in some other manner
20
Disposed of in some other manner
21
Burned or buried
22
Burned
23
Buried
24
Thrown into street, vacant land, or common area
25
Thrown into river, lake, ocean, lagoon, etc.
26
Thrown into canyon or gulley
27
Dumped in pit
28
Communal refuse dump
29
Own refuse dump
30
Authorized refuse dump
31
Illegal refuse dump
32
Other dumping
33
Outside
34
In the fields
35
Fed to animals
36
Composted
37
Heap
38
Garden
39
Other, none
99
Unknown/missing
This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner.
Utilities Variables -- HOUSEHOLD
IPUMS
Automobiles available
Automobiles available
Automobiles available
Automobiles available
Automobiles available
No autos
1
1 auto
2
2 autos
3
3 autos
4
4 autos
5
5 autos
6
6+ autos
7
Have auto, number unspecified
8
Unknown
9
NIU (not in universe)
AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Central heating
Central heating
Central heating
Central heating
Central heating
NIU (not in universe)
1
No heating
2
Central heating, not specified
3
Collective central heating
4
Individual central heating
5
Other heating, not central
6
Heating, unspecified
7
No central heating/heating unknown
9
Unknown
HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
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
Food freezer
Food freezer
Food freezer
Food freezer
Food freezer
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
FREEZER indicates whether the household had a food freezer separate from a refrigerator.
Appliances, Mechanicals, Other Amenities 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
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
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
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Number of rooms
Part of a room; no rooms
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
ROOMS indicates the number of rooms occupied by the housing unit.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
Kitchen or cooking facilities
NIU (not in universe)
10
No kitchen
11
Food is prepared in a non-kitchen room
13
Does not prepare food in the dwelling
20
Yes, have a kitchen
21
Kitchen located inside the dwelling
22
Indoor kitchen, exclusive use
23
Indoor kitchen, shared use
24
Exclusive use of kitchen (indoor/outdoor status not specified)
25
Kitchen shared with another household (indoor/outdoor status not specified)
26
Kitchen located outside the dwelling
27
Outdoor kitchen, exclusive use
28
Outdoor kitchen, shared use
99
Unknown/missing
KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
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
Floor material
Floor material
Floor material
Floor material
Floor material
NIU (not in universe)
100
None/unfinished (earth)
110
Sand
120
Dung
200
Finished
201
Cement, tile, or brick
202
Cement
203
Concrete
204
Cement screed
205
Ceramic tile
206
Paving stone, cement tile
207
Stone
208
Brick
209
Brick or stone
210
Brick or cement
211
Block
212
Terrazzo
213
Wood
214
Palm, bamboo
215
Parquet
216
Parquet, tile, vinyl
217
Parquet, tile, marble
218
Ceramic, marble, granite
219
Ceramic, marble, tile, or vinyl
220
Marble
221
Mosaic
222
Tile
223
Tile, linoleum, ceramic, etc
224
Tile, cement
225
Tile, stone
226
Tile, stone, brick
227
Tile, stone, vinyl, brick
228
Tile, vinyl, brick
229
Tile, vinyl
230
Vinyl, linoleum, etc
231
Asphalt sheet, vinyl, etc
232
Synthetic, plastic
233
Cane
234
Carpet
235
Scrap material
236
Other finished, n.e.c.
999
Unknown/missing
FLOOR indicates the dwelling's predominant flooring material.
Dwelling Characteristics 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
Roof material
Roof material
Roof material
Roof material
Roof material
NIU (not in universe)
10
Masonry, concrete, clay tile, or tiles of unspecified type
11
Concrete or cement
12
Reinforced concrete (slab)
13
Cement or sheet metal
14
Tile, unspecified
15
Clay tile
16
Tile or cement
17
Modern tiles, industrial
18
Traditional tiles, locally made
19
Tile or flat stone
20
Fibercement or plastic
21
Asphalt or laminate cover
22
Tile, cement, asphalt
23
Asphalt tile
24
Slate or tile
25
Slate or asbestos
26
Asbestos
27
Adobe
28
Tiles or wood planks
29
Roofing shingles
30
Metal
31
Sheet metal
32
Zinc or tin
33
Tin
34
Sheet metal or other sheet material
35
Sheet metal, tile, slate
40
Wood and other plant materials
41
Wood
42
Wood, including bamboo
43
Bamboo
44
Cogon, nipa, anahaw
45
Thatch (straw, grass, leaves, palm, etc.)
46
Cane, wood, straw
47
Grass
48
Papyrus
49
Banana leaves or fiber
50
Palm or makuti
51
Plant material or wood with clay
52
Grass and mud
53
Straw, bamboo, polythene
54
Rustic mat
60
Mud or earth
61
Clay
70
Cardboard, scrap, and miscellaneous materials
71
Discarded or scrap material
72
Cardboard
73
Plastic
80
Other, unspecified
99
Unknown/missing
This variable indicates the dwelling's predominant roofing material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Vacant household
1
1 family
2
2 families
3
3 families
4
4 families
5
5 families
6
6 families
7
7 families
8
8 families
9
9 or more families
NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Head's location in household
Head's location in household
Head's location in household
Head's location in household
Head's location in household
HEADLOC gives the person number of the head of household in samples in which persons are organized into households.
This is a 3-digit numeric variable with 0 implied decimal places
Constructed Household Variables -- HOUSEHOLD
IPUMS
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
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
CĂłrdoba [Province: Argentina]
32018
Corrientes [Province: Argentina]
32022
Chaco [Province: Argentina]
32026
Chubut [Province: Argentina]
32030
Entre RĂos [Province: Argentina]
32034
Formosa [Province: Argentina]
32038
Jujuy [Province: Argentina]
32042
La Pampa [Province: Argentina]
32046
La Rioja [Province: Argentina]
32050
Mendoza [Province: Argentina]
32054
Misiones [Province: Argentina]
32058
Neuquén [Province: Argentina]
32062
RĂo Negro [Province: Argentina]
32066
Salta [Province: Argentina]
32070
San Juan [Province: Argentina]
32074
San Luis [Province: Argentina]
32078
Santa Cruz [Province: Argentina]
32082
Santa Fe [Province: Argentina]
32086
Santiago del Estero [Province: Argentina]
32090
Tucumán [Province: Argentina]
32094
Tierra del Fuego [Province: Argentina]
32099
Unknown [Province: Argentina]
40011
Burgenland [State: Austria]
40012
Niederösterreich [State: Austria]
40013
Wien [State: Austria]
40021
Kärnten [State: Austria]
40022
Steiermark [State: Austria]
40031
Oberösterreich [State: Austria]
40032
Salzburg [State: Austria]
40033
Tirol [State: Austria]
40034
Vorarlberg [State: Austria]
50010
Barisal [Division, Bangladesh]
50020
Chittagong [Division, Bangladesh]
50030
Dhaka [Division, Bangladesh]
50040
Khulna [Division, Bangladesh]
50050
Rajshahi, Rangpur [Division, Bangladesh]
50060
Sylhet [Division, Bangladesh]
51901
Yerevan [Province: Armenia]
51902
Aragatsotn [Province: Armenia]
51903
Ararat [Province: Armenia]
51904
Armavir [Province: Armenia]
51905
Gegharkunik [Province: Armenia]
51906
Lori [Province: Armenia]
51907
Kotayk [Province: Armenia]
51908
Shirak [Province: Armenia]
51909
Syunik [Province: Armenia]
51910
Vayots Dzor [Province: Armenia]
51911
Tavush [Province: Armenia]
68001
Chuquisaca [Department: Bolivia]
68002
La Paz [Department: Bolivia]
68003
Cochabamba [Department: Bolivia]
68004
Oruro [Department: Bolivia]
68005
PotosĂ [Department: Bolivia]
68006
Tarija [Department: Bolivia]
68007
Santa Cruz [Department: Bolivia]
68008
Beni [Department: Bolivia]
68009
Pando [Department: Bolivia]
76011
Rondonia [State: Brazil]
76012
Acre [State: Brazil]
76013
Amazonas [State: Brazil]
76014
Roraima [State: Brazil]
76015
Pará [State: Brazil]
76016
Amapa [State: Brazil]
76021
Maranhao [State: Brazil]
76022
PiauĂ [State: Brazil]
76023
Ceará [State: Brazil]
76024
Rio Grande do Norte [State: Brazil]
76025
Paraiba [State: Brazil]
76026
Pernambuco [State: Brazil]
76027
Alagoas [State: Brazil]
76028
Sergipe [State: Brazil]
76029
Bahia [State: Brazil]
76031
Minas Gerais [State: Brazil]
76032
EspĂrito Santo [State: Brazil]
76033
Rio de Janeiro [State: Brazil]
76035
SĂŁo Paulo [State: Brazil]
76041
Parana [State: Brazil]
76042
Santa Catarina [State: Brazil]
76043
Rio Grande do Sul [State: Brazil]
76051
Mato Grosso, Mato Grosso do Sul [State: Brazil]
76052
Goiás and Tocantins [State: Brazil]
76053
Distrito Federal [State: Brazil]
112001
Brest [Region: Belarus]
112002
Vitebsk [Region: Belarus]
112003
Gomel [Region: Belarus]
112004
Grodno [Region: Belarus]
112006
Minsk [Region: Belarus]
112007
Mogilev [Region: Belarus]
116001
Banteay Meanchey [Province: Cambodia]
116002
Battambang [Province: Cambodia]
116003
Kampong Cham [Province: Cambodia]
116004
Kampong Chhnang [Province: Cambodia]
116005
Kampong Speu [Province: Cambodia]
116006
Kampong Thom [Province: Cambodia]
116007
Kampot [Province: Cambodia]
116008
Kandal [Province: Cambodia]
116009
Koh Kong [Province: Cambodia]
116010
Kratie [Province: Cambodia]
116011
Mondul Kiri [Province: Cambodia]
116012
Phnom Penh [Province: Cambodia]
116013
Preah Vihear [Province: Cambodia]
116014
Prey Veng [Province: Cambodia]
116015
Pursat [Province: Cambodia]
116016
Rotanak Kiri [Province: Cambodia]
116017
Siem Reap and Otdar Meanchey [Province: Cambodia]
116018
Preah Sihanouk [Province: Cambodia]
116019
Stung Treng [Province: Cambodia]
116020
Svay Rieng [Province: Cambodia]
116021
Takeo [Province: Cambodia]
116023
Kep [Province: Cambodia]
116024
Pailin [Province: Cambodia]
120002
Centre, Sud [Province: Cameroon]
120003
Est [Province: Cameroon]
120004
Nord, Adamoua , Extrème Nord [Province: Cameroon]
120005
Littoral [Province: Cameroon]
120007
Nord Ouest [Province: Cameroon]
120008
Ouest [Province: Cameroon]
120010
Sud Ouest [Province: Cameroon]
124010
Newfoundland and Labrador [Province: Canada]
124011
Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada]
124012
Nova Scotia [Province: Canada]
124013
New Brunswick [Province: Canada]
124024
Quebec [Province: Canada]
124035
Ontario [Province: Canada]
124046
Manitoba [Province: Canada]
124047
Saskatchewan [Province: Canada]
124048
Alberta [Province: Canada]
124059
British Columbia [Province: Canada]
152002
Antofagasta and Tarapacá [Region: Chile]
152004
Atacama and Coquimbo [Region: Chile]
152007
Del Maule [Region: Chile]
152008
Del Biobio [Region: Chile]
152009
La AraucanĂa [Region: Chile]
152010
Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile]
152012
Magallanes and La Antártica Chilena [Region: Chile]
152013
Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile]
152099
Unknown [Region: Chile]
156011
Beijing (municipality) [Province: China]
156012
Tianjin (municipality) [Province: China]
156013
Hebei [Province: China]
156014
Shanxi [Province: China]
156015
Inner Mongolia [Province: China]
156021
Liaoning [Province: China]
156022
Jilin [Province: China]
156023
Heilongjiang [Province: China]
156031
Shanghai (municipality) [Province: China]
156032
Jiangsu [Province: China]
156033
Zhejiang [Province: China]
156034
Anhui [Province: China]
156035
Fujian [Province: China]
156036
Jiangxi [Province: China]
156037
Shangdong [Province: China]
156041
Henan [Province: China]
156042
Hubei [Province: China]
156043
Hunan [Province: China]
156044
Guangdong and Hainan [Province: China]
156045
Guangxi [Province: China]
156051
Sichuan [Province: China]
156052
Guizhou [Province: China]
156053
Yunnan [Province: China]
156054
Tibet [Province: China]
156061
Shaanxi [Province: China]
156062
Gansu [Province: China]
156063
Qinghai [Province: China]
156064
Ningxia [Province: China]
156065
Xinjiang [Province: China]
170005
Antioquia [Department: Colombia]
170008
Atlántico [Department: Colombia]
170011
Bogotá [Department: Colombia]
170013
BolĂvar and Sucre [Department: Colombia]
170015
Boyacá and Casanare [Department: Colombia]
170018
Caquetá [Department: Colombia]
170019
Cauca [Department: Colombia]
170023
CĂłrdoba [Department: Colombia]
170025
Cundinamarca [Department: Colombia]
170027
ChocĂł [Department: Colombia]
170041
Huila [Department: Colombia]
170044
La Guajira [Department: Colombia]
170047
Cesar and Magdalena [Department: Colombia]
170050
Meta and Vichada [Department: Colombia]
170052
Nariño [Department: Colombia]
170054
Norte de Santander [Department: Colombia]
170066
Caldas, QuindĂo, and Risaralda [Department: Colombia]
170068
Santander [Department: Colombia]
170073
Tolima [Department: Colombia]
170076
Valle [Department: Colombia]
170081
Arauca [Department: Colombia]
170086
Putumayo [Department: Colombia]
170088
San Andrés [Department: Colombia]
170091
Amazonas [Department: Colombia]
170095
Guaviare, VaupĂ©s, and GuainĂa [Department: Colombia]
188001
San José [Province: Costa Rica]
188002
Alajuela [Province: Costa Rica]
188003
Cartago [Province: Costa Rica]
188004
Heredia [Province: Costa Rica]
188005
Guanacaste [Province: Costa Rica]
188006
Puntarenas [Province: Costa Rica]
188007
LimĂłn [Province: Costa Rica]
192001
Pinar del RĂo [Province: Cuba]
192002
La Habana [Province: Cuba]
192003
Ciudad de la Habana [Province: Cuba]
192004
Matanzas [Province: Cuba]
192005
Villa Clara [Province: Cuba]
192006
Cienfuegos [Province: Cuba]
192007
Sancti Spiritus [Province: Cuba]
192008
Ciego de Avila [Province: Cuba]
192009
CamagĂĽey [Province: Cuba]
192010
Las Tunas [Province: Cuba]
192011
HolguĂn [Province: Cuba]
192012
Granma [Province: Cuba]
192013
Santiago de Cuba [Province: Cuba]
192014
Guantánamo [Province: Cuba]
192099
Isla de la Juventud [Province: Cuba]
214001
Federal district and Santo Domingo [Province: Dominican Republic]
214002
Azua [Province: Dominican Republic]
214003
Baoruco [Province: Dominican Republic]
214004
Barahona [Province: Dominican Republic]
214005
DajabĂłn [Province: Dominican Republic]
214006
Duarte [Province: Dominican Republic]
214007
ElĂas Piña [Province: Dominican Republic]
214008
El Seibo and Hato Mayor [Province: Dominican Republic]
214009
Espaillat [Province: Dominican Republic]
214010
Independencia [Province: Dominican Republic]
214011
La Altagracia and La Romana [Province: Dominican Republic]
214013
La Vega and Monseñor Nouel [Province: Dominican Republic]
214014
MarĂa Trinidad Sánchez and Samaná [Province: Dominican Republic]
214015
Monte Cristi [Province: Dominican Republic]
214016
Pedernales [Province: Dominican Republic]
214017
Peravia and San José de Ocoa [Province: Dominican Republic]
214018
Puerto Plata [Province: Dominican Republic]
214019
Hermanas Mirabal [Province: Dominican Republic]
214021
San CristĂłbal and Monte Plata [Province: Dominican Republic]
214022
San Juan [Province: Dominican Republic]
214023
San Pedro de MacorĂs [Province: Dominican Republic]
214024
Sánchez RamĂrez [Province: Dominican Republic]
214025
Santiago [Province: Dominican Republic]
214026
Santiago RodrĂguez [Province: Dominican Republic]
214027
Valverde [Province: Dominican Republic]
218001
Azuay [Province: Ecuador]
218002
BolĂvar [Province: Ecuador]
218004
Carchi [Province: Ecuador]
218005
Cotopaxi [Province: Ecuador]
218006
Chimborazo [Province: Ecuador]
218007
El Oro [Province: Ecuador]
218009
Cañar, Esmeraldas, Guayas, ManabĂ, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los RĂos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero
218010
Imbabura, Las Golondrinas [Disputed canton] [Disputed canton]
218011
Loja [Province: Ecuador]
218014
Morona Santiago [Province: Ecuador]
218016
Pastaza [Province: Ecuador]
218018
Tungurahua [Province: Ecuador]
218019
Zamora Chinchipe [Province: Ecuador]
218021
Napo, Orellana, SucumbĂos [Province: Ecuador]
218099
Unknown [Province: Ecuador]
222001
Ahuachapán [Department: El Salvador]
222002
Santa Ana [Department: El Salvador]
222003
Sonsonate [Department: El Salvador]
222004
Chalatenango [Department: El Salvador]
222005
La Libertad [Department: El Salvador]
222006
San Salvador [Department: El Salvador]
222007
Cuscatlán [Department: El Salvador]
222008
La Paz [Department: El Salvador]
222009
Cabañas [Department: El Salvador]
222010
San Vicente [Department: El Salvador]
222011
Usulután [Department: El Salvador]
222012
San Miguel [Department: El Salvador]
222013
Morazán [Department: El Salvador]
222014
La UniĂłn [Department: El Salvador]
231001
Tigray [Region: Ethiopia]
231002
Affar [Region: Ethiopia]
231003
Amhara [Region: Ethiopia]
231004
Oromiya [Region: Ethiopia]
231005
Somali [Region: Ethiopia]
231006
Benishangul-Gumz [Region: Ethiopia]
231007
Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia]
231012
Gambela [Region: Ethiopia]
231013
Harari [Region: Ethiopia]
231014
Addis Ababa [Region: Ethiopia]
231015
Dire Dawa [Region: Ethiopia]
231017
Special region [Region: Ethiopia]
238094
Falkland Islands [Province: Argentina]
239094
South Georgia and South Sandwich Islands [Province: Argentina]
242001
Ba [Province: Fiji]
242003
Bua, Cakaudrove [Province: Fiji]
242006
Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji]
242007
Macuata [Province: Fiji]
242008
Nadroha [Province: Fiji]
242009
Naitasiri, Rewa [Province: Fiji]
242011
Ra [Province: Fiji]
242014
Serua, Namosi [Province: Fiji]
242015
Tailevu [Province: Fiji]
242099
Ships, unknown [Province: Fiji]
250001
Guadeloupe [Oversea Department, France]
250002
Martinique [Oversea Department, France]
250003
French Guyana [Oversea Department, France]
250004
RĂ©union Island [Oversea Department, France]
250011
ĂŽle-de-France [Region: France]
250021
Champagne-Ardenne [Region: France]
250022
Picardy [Region: France]
250023
Upper Normandy [Region: France]
250024
Centre [Region: France]
250025
Lower Normandy [Region: France]
250026
Burgundy [Region: France]
250031
North Pas-de-Calais [Region: France]
250041
Lorraine [Region: France]
250042
Alsace [Region: France]
250043
Franche-Comté [Region: France]
250052
Loire Valley [Region: France]
250053
Brittany [Region: France]
250054
Poitou-Charentes [Region: France]
250072
Aquitaine [Region: France]
250073
Midi-Pyrénées [Region: France]
250074
Limousin [Region: France]
250082
RhĂ´ne-Alpes [Region: France]
250083
Auvergne [Region: France]
250091
Languedoc-Roussillon [Region: France]
250093
Provence-Alpes-Riviera [Region: France]
250094
Corsica [Region: France]
250999
Unknown [Region: France]
275001
Jenin [Governorate: Palestine]
275005
Tubas [Governorate: Palestine]
275010
Tulkarm [Governorate: Palestine]
275015
Nablus [Governorate: Palestine]
275020
Qalqiliya [Governorate: Palestine]
275025
Salfit [Governorate: Palestine]
275030
Ramallah and Al-Bireh [Governorate: Palestine]
275035
Jericho [Governorate: Palestine]
275040
Jerusalem [Governorate: Palestine]
275045
Bethlehem [Governorate: Palestine]
275050
Hebron [Governorate: Palestine]
275055
North Gaza [Governorate: Palestine]
275060
Gaza [Governorate: Palestine]
275065
Deir Al-Balah [Governorate: Palestine]
275070
Khan Yunis [Governorate: Palestine]
275075
Rafah [Governorate: Palestine]
276001
Schleswig-Holstein [State: Germany]
276002
Hamburg [State: Germany]
276003
Niedersachsen [State: Germany]
276004
Bremen [State: Germany]
276005
Nordrhein-Westfalen [State: Germany]
276006
Hessen [State: Germany]
276007
Rheinland-Pfalz [State: Germany]
276008
Baden-WĂĽrttemberg [State: Germany]
276009
Bayern [State: Germany]
276010
Saarland [State: Germany]
276012
Brandenburg [State: Germany]
276013
Mecklenburg-West Pomerania [State: Germany]
276014
Saxony [State: Germany]
276015
Saxony-Anhalt [State: Germany]
276016
Thuringia [State: Germany]
276017
East Berlin [State: Germany]
276018
West Berlin [State: Germany]
276099
NIU (Not in universe) [State: Germany]
288001
Western [Region: Ghana]
288002
Central [Region: Ghana]
288003
Greater Accra [Region: Ghana]
288004
Volta [Region: Ghana]
288005
Eastern [Region: Ghana]
288006
Ashanti [Region: Ghana]
288007
Brong Ahafo [Region: Ghana]
288008
Northern [Region: Ghana]
288009
Upper East [Region: Ghana]
288010
Upper West [Region: Ghana]
300001
Etolia and Akarnania [Department: Greece]
300003
Viotia [Department: Greece]
300004
Evia [Department: Greece]
300005
Evrytania [Department: Greece]
300006
Fthiotida [Department: Greece]
300007
Fokida [Department: Greece]
300011
Argolida [Department: Greece]
300012
Arkadia [Department: Greece]
300013
Achaia [Department: Greece]
300014
Ilia [Department: Greece]
300015
Korinthia [Department: Greece]
300016
Lakonia [Department: Greece]
300017
Messinia [Department: Greece]
300021
Zakynthos [Department: Greece]
300022
Kerkyra [Department: Greece]
300023
Kefallinia [Department: Greece]
300024
Lefkada [Department: Greece]
300031
Arta [Department: Greece]
300032
Thesprotia [Department: Greece]
300033
Ioannina [Department: Greece]
300034
Preveza [Department: Greece]
300041
Karditsa [Department: Greece]
300042
Larissa [Department: Greece]
300043
Magnissia [Department: Greece]
300044
Trikala [Department: Greece]
300051
Grevena [Department: Greece]
300052
Drama [Department: Greece]
300053
Imathia [Department: Greece]
300054
Thessaloniki [Department: Greece]
300055
Kavala [Department: Greece]
300056
Kastoria [Department: Greece]
300057
Kilkis [Department: Greece]
300058
Kozani [Department: Greece]
300059
Pella [Department: Greece]
300061
Pieria [Department: Greece]
300062
Serres [Department: Greece]
300063
Florina [Department: Greece]
300064
Chalkidiki and Aghion Oros [Department: Greece]
300071
Evros [Department: Greece]
300072
Xanthi [Department: Greece]
300073
Rodopi [Department: Greece]
300081
Dodekanissos [Department: Greece]
300082
Kyklades [Department: Greece]
300083
Lesvos [Department: Greece]
300084
Samos [Department: Greece]
300085
Chios [Department: Greece]
300091
Iraklio [Department: Greece]
300092
Lassithi [Department: Greece]
300093
Rethymno [Department: Greece]
300094
Chania [Department: Greece]
300101
Prefecture of Athens [Department: Greece]
300102
Prefecture of East Attiki [Department: Greece]
300103
Prefecture of West Attiki [Department: Greece]
300104
Prefecture of Pireas [Department: Greece]
324001
Boké [Region: Guinea]
324002
Faranah [Region: Guinea]
324003
Kankan [Region: Guinea]
324004
Kindia, Labe, Mamou [Region: Guinea]
324007
N'zerekore [Region: Guinea]
324008
Conakry [Region: Guinea]
332003
Nord (North) and Nord'est (North East) [Department: Haiti]
332006
Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]
332007
Grand'Anse, Nippes, Sud (South) [Department: Haiti]
332009
Nord'Ouest (North West) [Department: Haiti]
356001
Jammu and Kashmir [State: India]
356002
Himachal Pradesh [State: India]
356003
Punjab [State: India]
356004
Chandigarh [State: India]
356006
Haryana [State: India]
356007
Delhi [State: India]
356008
Rajasthan [State: India]
356009
Uttar Pradesh and Uttaranchal [State: India]
356010
Bihar and Jharkhand [State: India]
356011
Sikkim [State: India]
356012
Arunachal Pradesh [State: India]
356013
Nagaland [State: India]
356014
Manipur [State: India]
356015
Mizoram [State: India]
356016
Tripura [State: India]
356017
Meghalaya [State: India]
356018
Assam [State: India]
356019
West Bengal [State: India]
356021
Orissa [State: India]
356023
Chhattisgarh and Madhya Pradesh [State: India]
356024
Gujarat [State: India]
356026
Dadra and Nagar Haveli [State: India]
356027
Maharashtra [State: India]
356028
Andhra Pradesh [State: India]
356029
Karnataka [State: India]
356030
Daman and Diu and Goa [State: India]
356031
Lakshadweep [State: India]
356032
Kerala [State: India]
356033
Tamil Nadu [State: India]
356034
Pondicherry [State: India]
356035
Andaman and Nicobar Islands [State: India]
360011
Nanggroe Aceh Darussalam [Province: Indonesia]
360012
Sumatera Utara [Province: Indonesia]
360013
Sumatera Barat [Province: Indonesia]
360014
Riau and Kepulauan Riau [Province: Indonesia]
360015
Jambi [Province: Indonesia]
360016
Sumatera Selatan and Bangka Belitung [Province: Indonesia]
360017
Bengkulu [Province: Indonesia]
360018
Lampung [Province: Indonesia]
360031
DKI Jakarta [Province: Indonesia]
360032
West Java and Banten [Province: Indonesia]
360033
Jawa Tengah [Province: Indonesia]
360034
DI Yogyakarta [Province: Indonesia]
360035
Jawa Timur [Province: Indonesia]
360051
Bali [Province: Indonesia]
360052
Nusa Tenggara Barat [Province: Indonesia]
360053
East Nusa Tenggara [Province: Indonesia]
360061
Kalimantan Barat [Province: Indonesia]
360062
Kalimantan Tengah [Province: Indonesia]
360063
Kalimantan Selatan [Province: Indonesia]
360064
Kalimantan Timur [Province: Indonesia]
360071
Sulawesi Utara and Gorontalo [Province: Indonesia]
360072
Sulawesi Tengah [Province: Indonesia]
360073
Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia]
360081
Maluku and Maluku Utara [Province: Indonesia]
360094
Papua and Papua Barat [Province: Indonesia]
364000
Markazi [Province: Iran]
364001
Gilan [Province: Iran]
364002
Mazandaran [Province: Iran]
364003
East Azarbayejan [Province: Iran]
364004
West Azarbayejan [Province: Iran]
364005
Kermanshah [Province: Iran]
364006
Khuzestan [Province: Iran]
364007
Fars [Province: Iran]
364008
Kerman [Province: Iran]
364009
Khorasan-e- Razavi [Province: Iran]
364010
Esfahan [Province: Iran]
364011
Sistan and Baluchestan [Province: Iran]
364012
Kordestan [Province: Iran]
364013
Hamedan [Province: Iran]
364014
Chaharmahal and Bakhtiyari [Province: Iran]
364015
Lorestan [Province: Iran]
364016
Ilam [Province: Iran]
364017
Kohgiluyeh and Boyerahmad [Province: Iran]
364018
Bushehr [Province: Iran]
364019
Zanjan [Province: Iran]
364020
Semnan [Province: Iran]
364021
Yazd [Province: Iran]
364022
Hormozgan [Province: Iran]
364023
Tehran [Province: Iran]
364024
Ardebil [Province: Iran]
364025
Qom [Province: Iran]
364026
Qazvin [Province: Iran]
364027
Golestan [Province: Iran]
364028
North Khorasan [Province: Iran]
364029
South Khorasan [Province: Iran]
368011
Dhok [Governorate: Iraq]
368012
Nineveh [Governorate: Iraq]
368013
Al-Sulaimaniya [Governorate: Iraq]
368014
Al-Tameem [Governorate: Iraq]
368015
Arbil [Governorate: Iraq]
368021
Diala [Governorate: Iraq]
368022
Al-Anbar [Governorate: Iraq]
368023
Baghdad [Governorate: Iraq]
368024
Babylon [Governorate: Iraq]
368025
Kerbela [Governorate: Iraq]
368026
Wasit [Governorate: Iraq]
368027
Salah Al-Deen [Governorate: Iraq]
368028
Al-Najaf [Governorate: Iraq]
368031
Al-Qadisiya [Governorate: Iraq]
368032
Al-Muthanna [Governorate: Iraq]
368033
Thi-Qar [Governorate: Iraq]
368034
Maysan [Governorate: Iraq]
368035
Al-Basrah [Governorate: Iraq]
372001
Border [Region: Ireland]
372002
Dublin [Region: Ireland]
372003
Mid-East [Region: Ireland]
372004
Midlands [Region: Ireland]
372005
Mid-West [Region: Ireland]
372006
South-East [Region: Ireland]
372007
South-West [Region: Ireland]
372008
West [Region: Ireland]
376001
Jerusalem [District: Israel]
376002
Northern [District: Israel]
376003
Haifa [District: Israel]
376004
Central [District: Israel]
376005
Tel-Aviv [District: Israel]
376006
Southern [District: Israel]
376009
Judea, Samaria, and Gaza areas [District: Israel]
380001
Piemonte-Valle d'Aosta [Region: Italy]
380003
Lombardia [Region: Italy]
380004
Trentino-Alto Adige [Region: Italy]
380005
Veneto [Region: Italy]
380006
Friuli-Venezia Giulia [Region: Italy]
380007
Liguria [Region: Italy]
380008
Emilia-Romagna [Region: Italy]
380009
Toscana [Region: Italy]
380010
Umbria [Region: Italy]
380011
Marche [Region: Italy]
380012
Lazio [Region: Italy]
380013
Abruzzo [Region: Italy]
380014
Molise [Region: Italy]
380015
Campania [Region: Italy]
380016
Puglia [Region: Italy]
380017
Basilicata [Region: Italy]
380018
Calabria [Region: Italy]
380019
Sicilia [Region: Italy]
380020
Sardegna [Region: Italy]
388001
Kingston [Parish: Jamaica]
388002
Saint Andrew [Parish: Jamaica]
388003
Saint Thomas [Parish: Jamaica]
388004
Portland [Parish: Jamaica]
388005
Saint Mary [Parish: Jamaica]
388006
Saint Ann [Parish: Jamaica]
388007
Trelawny [Parish: Jamaica]
388008
Saint James [Parish: Jamaica]
388009
Hanover [Parish: Jamaica]
388010
Westmoreland [Parish: Jamaica]
388011
Saint Elizabeth [Parish: Jamaica]
388012
Manchester [Parish: Jamaica]
388013
Clarendon [Parish: Jamaica]
388014
Saint Catherine [Parish: Jamaica]
400011
Amman [Governorate: Jordan]
400012
Balqa [Governorate: Jordan]
400013
Zarqa [Governorate: Jordan]
400014
Madaba [Governorate: Jordan]
400021
Irbid [Governorate: Jordan]
400022
Mafraq [Governorate: Jordan]
400023
Jarash [Governorate: Jordan]
400024
Ajlun [Governorate: Jordan]
400031
Karak [Governorate: Jordan]
400032
Tafilah [Governorate: Jordan]
400033
Ma'an [Governorate: Jordan]
400034
Aqaba [Governorate: Jordan]
404001
Nairobi [Province: Kenya]
404002
Central Province [Province: Kenya]
404003
Coast Province [Province: Kenya]
404004
Eastern Province [Province: Kenya]
404005
North-Eastern Province [Province: Kenya]
404006
Nyanza Province [Province: Kenya]
404007
Rift Valley Province [Province: Kenya]
404008
Western Province [Province: Kenya]
417001
Gorkenesh Bishkek [Region: Kyrgyz Republic]
417002
Issyk-Kul [Region: Kyrgyz Republic]
417003
Dzhalal-Abad [Region: Kyrgyz Republic]
417004
Naryn [Region: Kyrgyz Republic]
417005
Batken [Region: Kyrgyz Republic]
417006
Oshskaya [Region: Kyrgyz Republic]
417007
Talasskaya [Region: Kyrgyz Republic]
417008
Chuya [Region: Kyrgyz Republic]
430006
Bong [County: Liberia]
430009
Grand Bassa and Rivercess [County: Liberia]
430012
Grand Cape Mount [County: Liberia]
430015
Grand Gedeh and River Gee [County: Liberia]
430021
Lofa and Gbarpolu [County: Liberia]
430027
Maryland and Grand Kru [County: Liberia]
430030
Montserrado, Bomi, and Margibi [County: Liberia]
430033
Nimba [County: Liberia]
430039
Sinoe [County: Liberia]
454101
Chitipa [District: Malawi]
454102
Karonga [District: Malawi]
454103
Nkhata Bay, Likoma [District: Malawi]
454104
Rumphi [District: Malawi]
454105
Mzimba, Mzuzu city [District: Malawi]
454201
Kasungu [District: Malawi]
454202
Nkhota Kota [District: Malawi]
454203
Ntchisi [District: Malawi]
454204
Dowa [District: Malawi]
454205
Salima [District: Malawi]
454206
Lilongwe [District: Malawi]
454207
Mchinji [District: Malawi]
454208
Dedza [District: Malawi]
454209
Ntcheu [District: Malawi]
454301
Mangochi [District: Malawi]
454302
Machinga [District: Malawi]
454303
Zomba [District: Malawi]
454304
Chiradzulu [District: Malawi]
454305
Blantyre [District: Malawi]
454307
Thyolo [District: Malawi]
454308
Mulanje [District: Malawi]
454310
Chikwawa [District: Malawi]
454311
Nsanje [District: Malawi]
454313
Mwanza, Neno [District: Malawi]
458001
Johor [State: Malaysia]
458002
Kedah [State: Malaysia]
458003
Kelantan [State: Malaysia]
458004
Melaka [State: Malaysia]
458005
Negeri Sembilan [State: Malaysia]
458006
Pahang [State: Malaysia]
458007
Pulau Pinang [State: Malaysia]
458008
Perak [State: Malaysia]
458009
Perlis [State: Malaysia]
458010
Selangor and Kuala Lumpur Federal Territory [State: Malaysia]
458011
Terengganu [State: Malaysia]
458012
Sabah and Labuan Federal Territory [State: Malaysia]
458013
Sarawak [State: Malaysia]
466001
Kayes [Region: Mali]
466002
Koulikoro [Region: Mali]
466003
Sikasso [Region: Mali]
466004
SĂ©gou [Region: Mali]
466005
Mopti [Region: Mali]
466006
Tombouctou [Region: Mali]
466007
Gao and Kidal [Region: Mali]
466009
Bamako [Region: Mali]
466099
Unknown [Region: Mali]
484001
Aguascalientes [State: Meico]
484002
Baja California [State: Meico]
484003
Baja California Sur [State: Meico]
484004
Campeche [State: Meico]
484005
Coahuila [State: Meico]
484006
Colima [State: Meico]
484007
Chiapas [State: Meico]
484008
Chihuahua [State: Meico]
484009
Distrito Federal [State: Meico]
484010
Durango [State: Meico]
484011
Guanajuato [State: Meico]
484012
Guerrero [State: Meico]
484013
Hidalgo [State: Meico]
484014
Jalisco [State: Meico]
484015
MĂ©xico [State: Meico]
484016
Michoacán [State: Meico]
484017
Morelos [State: Meico]
484018
Nayarit [State: Meico]
484019
Nuevo LeĂłn [State: Meico]
484020
Oaxaca [State: Meico]
484021
Puebla [State: Meico]
484022
Querétaro [State: Meico]
484023
Quintana Roo [State: Meico]
484024
San Luis PotosĂ [State: Meico]
484025
Sinaloa [State: Meico]
484026
Sonora [State: Meico]
484027
Tabasco [State: Meico]
484028
Tamaulipas [State: Meico]
484029
Tlaxcala [State: Meico]
484030
Veracruz [State: Meico]
484031
Yucatán [State: Meico]
484032
Zacatecas [State: Meico]
496001
Arkhangai [Province: Mongolia]
496002
Bayan-Ă–lgii [Province: Mongolia]
496003
Bayankhongor [Province: Mongolia]
496004
Bulgan [Province: Mongolia]
496005
Govi-Altai [Province: Mongolia]
496006
Dornogovi [Province: Mongolia]
496007
Dornod [Province: Mongolia]
496008
Dundgovi and Govisumber [Province: Mongolia]
496009
Zavkhan [Province: Mongolia]
496010
Övörkhangai [Province: Mongolia]
496011
Ömnögovi [Province: Mongolia]
496012
SĂĽkhbaatar [Province: Mongolia]
496013
Selenge [Province: Mongolia]
496014
Töv [Province: Mongolia]
496015
Uvs [Province: Mongolia]
496016
Khovd [Province: Mongolia]
496017
Khövsgöl [Province: Mongolia]
496018
Khentii [Province: Mongolia]
496019
Darkhan-Uul [Province: Mongolia]
496020
Ulaanbaatar [Province: Mongolia]
496021
Orkhon [Province: Mongolia]
504001
Oued-Ed-Dahab-Lagouira [Region: Morocco]
504002
Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco]
504003
Guelmin-Es-Samara [Region: Morocco]
504004
Souss-Massa-Draâ [Region: Morocco]
504005
Charb-Chrarda-BĂ©ni Hssen [Region: Morocco]
504006
Chaouia-Ouardigha [Region: Morocco]
504007
Marrakech-Tensift-Al Haouz [Region: Morocco]
504008
Oriental [Region: Morocco]
504009
Grand-Casablanca [Region: Morocco]
504010
Rabat-Salé-Zemmour-Zaer [Region: Morocco]
504011
Doukala Abda [Region: Morocco]
504012
Tadla Azilal [Region: Morocco]
504013
Meknès-Tafilalet [Region: Morocco]
504014
Fès-Boulemane [Region: Morocco]
504015
Taza-Al Heiceima-Taounate [Region: Morocco]
504016
Tanger-TĂ©touan [Region: Morocco]
508001
Niassa [Province: Mozambique]
508002
Cabo Delgado [Province: Mozambique]
508003
Nampula [Province: Mozambique]
508004
Zambézia [Province: Mozambique]
508005
Tete [Province: Mozambique]
508006
Manica [Province: Mozambique]
508007
Sofala [Province: Mozambique]
508008
Inhambane [Province: Mozambique]
508009
Gaza [Province: Mozambique]
508010
Maputo province [Province: Mozambique]
508011
Maputo city [Province: Mozambique]
524001
Mechi [Administrative zone: Nepal]
524002
Koshi [Administrative zone: Nepal]
524003
Sagarmatha [Administrative zone: Nepal]
524004
Janakpur [Administrative zone: Nepal]
524005
Bagmati [Administrative zone: Nepal]
524006
Narayani [Administrative zone: Nepal]
524007
Gandaki [Administrative zone: Nepal]
524008
Dhawalagiri [Administrative zone: Nepal]
524009
Lumbini [Administrative zone: Nepal]
524010
Rapti [Administrative zone: Nepal]
524011
Bheri [Administrative zone: Nepal]
524012
Karnali [Administrative zone: Nepal]
524013
Seti [Administrative zone: Nepal]
524014
Mahakali [Administrative zone: Nepal]
558005
Nueva Segovia [Department: Nicaragua]
558010
Jinotega [Department: Nicaragua]
558020
MadrĂz [Department: Nicaragua]
558030
Chinandega [Department: Nicaragua]
558035
Leon and Esteli [Department: Nicaragua]
558040
Matagalpa [Department: Nicaragua]
558050
Boaco [Department: Nicaragua]
558055
Managua [Department: Nicaragua]
558060
Masaya [Department: Nicaragua]
558065
Chontales [Department: Nicaragua]
558070
Granada [Department: Nicaragua]
558075
Carazo [Department: Nicaragua]
558080
Rivas [Department: Nicaragua]
558085
RĂo San Juan [Department: Nicaragua]
558093
Atlántico Norte and Atlántico Sur [Department: Nicaragua]
558099
Unknown [Department: Nicaragua]
566001
Abia [State: Nigeria]
566002
Adamawa [State: Nigeria]
566003
Akwa Ibom [State: Nigeria]
566004
Anambra [State: Nigeria]
566005
Bauchi [State: Nigeria]
566006
Bayelsa [State: Nigeria]
566007
Benue [State: Nigeria]
566008
Borno [State: Nigeria]
566009
Cross River [State: Nigeria]
566010
Delta [State: Nigeria]
566011
Ebonyi [State: Nigeria]
566012
Edo [State: Nigeria]
566013
Ekiti [State: Nigeria]
566014
Enugu [State: Nigeria]
566015
Gombe [State: Nigeria]
566016
Imo [State: Nigeria]
566017
Jigawa [State: Nigeria]
566018
Kaduna [State: Nigeria]
566019
Kano [State: Nigeria]
566020
Katsina [State: Nigeria]
566021
Kebbi [State: Nigeria]
566022
Kogi [State: Nigeria]
566023
Kwara [State: Nigeria]
566024
Lagos [State: Nigeria]
566025
Nasarawa [State: Nigeria]
566026
Niger [State: Nigeria]
566027
Ogun [State: Nigeria]
566028
Ondo [State: Nigeria]
566029
Osun [State: Nigeria]
566030
Oyo [State: Nigeria]
566031
Plateau [State: Nigeria]
566032
Rivers [State: Nigeria]
566033
Sokoto [State: Nigeria]
566034
Taraba [State: Nigeria]
566035
Yobe [State: Nigeria]
566036
Zamfara [State: Nigeria]
566037
Federal Capital Territory Abuja [State: Nigeria]
566099
Unknown [State: Nigeria]
586001
North-West Frontier Province [Province: Pakistan]
586002
Fata [Province: Pakistan]
586003
Punjab, Islamabad [Province: Pakistan]
586004
Sind [Province: Pakistan]
586005
Baluchistan [Province: Pakistan]
586007
Northern areas [Province: Pakistan]
586008
Kashmir [Province: Pakistan]
591002
Coclé [Province: Panama]
591003
ColĂłn, Comarca Kuna Yala (San Blas) [Province: Panama]
591004
Bocas de Toro, ChiriquĂ, Comarca Ngäbe BuglĂ©, Veraguas [Province: Panama]
591005
Comarca Emberá, Darién [Province: Panama]
591006
Herrera [Province: Panama]
591007
Los Santos [Province: Panama]
591008
Panamá [Province: Panama]
600000
AsunciĂłn [Department: Paraguay]
600001
ConcepciĂłn [Department: Paraguay]
600002
San Pedro [Department: Paraguay]
600007
ItapĂşa [Department: Paraguay]
600008
Misiones and Ă‘eembucĂş [Department: Paraguay]
600009
Guairá, Caazapá, and Paraguarà [Department: Paraguay]
600010
Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay]
600011
Central [Department: Paraguay]
600013
Amambay [Department: Paraguay]
600015
Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay]
600099
Unknown [Department: Paraguay]
604001
Amazonas [Region: Peru]
604002
Ancash [Region: Peru]
604003
ApurĂmac [Region: Peru]
604004
Arequipa [Region: Peru]
604005
Ayacucho [Region: Peru]
604006
Cajamarca [Region: Peru]
604007
Callao [Region: Peru]
604008
Cusco [Region: Peru]
604009
Huancavelica [Region: Peru]
604010
Huánuco [Region: Peru]
604011
Ica [Region: Peru]
604012
JunĂn [Region: Peru]
604013
La Libertad [Region: Peru]
604014
Lambayeque [Region: Peru]
604015
Lima [Region: Peru]
604016
Loreto [Region: Peru]
604017
Madre de Dios [Region: Peru]
604018
Moquegua [Region: Peru]
604019
Pasco [Region: Peru]
604020
Piura [Region: Peru]
604021
Puno [Region: Peru]
604022
San MartĂn [Region: Peru]
604023
Tacna [Region: Peru]
604024
Tumbes [Region: Peru]
604025
Ucayali [Region: Peru]
608001
Ilocos [Region: Philippines]
608002
Cagayan Valley [Region: Philippines]
608003
Central Luzon [Region: Philippines]
608004
Southern Tagalog [Region: Philippines]
608005
Bicol [Region: Philippines]
608006
Western Visayas [Region: Philippines]
608007
Central Visayas [Region: Philippines]
608008
Eastern Visayas [Region: Philippines]
608009
Western Mindanao [Region: Philippines]
608011
Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines]
608012
Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines]
608013
National Capital Region [Region: Philippines]
608014
Cordillera Administrative Region [Region: Philippines]
620111
Minho-Lima [Subregion: Portugal]
620112
Cávado [Subregion: Portugal]
620113
Ave [Subregion: Portugal]
620114
Grande Porto [Subregion: Portugal]
620115
Tâmega [Subregion: Portugal]
620116
Entre Douro e Vouga [Subregion: Portugal]
620117
Douro [Subregion: Portugal]
620118
Alto Trás-os-Montes [Subregion: Portugal]
620150
Algarve [Subregion: Portugal]
620161
Baixo Vouga [Subregion: Portugal]
620162
Baixo Mondego [Subregion: Portugal]
620163
Pinhal Litoral [Subregion: Portugal]
620165
Dão-Lafões [Subregion: Portugal]
620166
Oeste [Subregion: Portugal]
620167
MĂ©dio Tejo [Subregion: Portugal]
620169
Other Center [Subregion: Portugal]
620171
Grande Lisboa [Subregion: Portugal]
620172
PenĂnsula de SetĂşbal [Subregion: Portugal]
620185
LezĂria do Tejo [Subregion: Portugal]
620189
Other Alentejo [Subregion: Portugal]
620200
Região Autónoma dos Açores [Subregion: Portugal]
620300
RegiĂŁo AutĂłnoma da Madeira [Subregion: Portugal]
630101
G7201001 [PUMA: Puerto Rico]
630104
G7201002, G7201003, G7201004 [PUMA: Puerto Rico]
630110
G7201100 [PUMA: Puerto Rico]
630180
G7201800 [PUMA: Puerto Rico]
630200
G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico]
630250
G7202500 [PUMA: Puerto Rico]
642001
Alba [County: Romania]
642002
Arad [County: Romania]
642003
Arges [County: Romania]
642004
Bacau [County: Romania]
642005
Bihor [County: Romania]
642006
Bistrita Nasaud [County: Romania]
642007
Botosani [County: Romania]
642008
Brasov [County: Romania]
642009
Braila [County: Romania]
642010
Buzau [County: Romania]
642011
Caras Severin [County: Romania]
642012
Cluj [County: Romania]
642013
Constanta [County: Romania]
642014
Covasna [County: Romania]
642015
Dimbovita [County: Romania]
642016
Dolj [County: Romania]
642017
Galati [County: Romania]
642018
Gorj [County: Romania]
642019
Harghita [County: Romania]
642020
Hunedoara [County: Romania]
642022
Iasi [County: Romania]
642024
Maramures [County: Romania]
642025
Mehedinti [County: Romania]
642026
Mures [County: Romania]
642027
Neamt [County: Romania]
642028
Olt [County: Romania]
642029
Prahova [County: Romania]
642030
Satu Mare [County: Romania]
642031
Salaj [County: Romania]
642032
Sibiu [County: Romania]
642033
Suceava [County: Romania]
642034
Teleorman [County: Romania]
642035
Timis [County: Romania]
642036
Tulcea [County: Romania]
642037
Vaslui [County: Romania]
642038
Valcea [County: Romania]
642039
Vrancea [County: Romania]
642043
Bucharest Sector 1 to 6 [County: Romania]
642051
Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]
646001
Kigali City [Province: Rwanda]
646002
Kigali Ngali [Province: Rwanda]
646004
Gitarama [Province: Rwanda]
646005
Butare [Province: Rwanda]
646006
Gikongoro [Province: Rwanda]
646007
Cyangugu [Province: Rwanda]
646008
Kibuye [Province: Rwanda]
646009
Gisenyi [Province: Rwanda]
646010
Ruhengeri [Province: Rwanda]
646012
Byumba, Kibungo and Umutara [Province: Rwanda]
686001
Dakar [Region: Senegal]
686002
Diourbel [Region: Senegal]
686003
Fatick [Region: Senegal]
686004
Kaolack [Region: Senegal]
686005
Kolda [Region: Senegal]
686008
Louga, Saint Louis, Matam [Region: Senegal]
686009
Tambacounda [Region: Senegal]
686010
Thiès [Region: Senegal]
686011
Ziguinchor [Region: Senegal]
694011
Kailahun [District: Sierra Leone]
694012
Kenema [District: Sierra Leone]
694013
Kono [District: Sierra Leone]
694021
Bombali [District: Sierra Leone]
694022
Kambia [District: Sierra Leone]
694023
Koinadugu [District: Sierra Leone]
694024
Port Loko [District: Sierra Leone]
694025
Tonkolili [District: Sierra Leone]
694031
Bo [District: Sierra Leone]
694032
Bonthe [District: Sierra Leone]
694033
Moyamba [District: Sierra Leone]
694034
Pujehun [District: Sierra Leone]
694041
Western - rural [District: Sierra Leone]
694042
Western - urban [District: Sierra Leone]
704001
Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam]
704002
Ha Giang and Tuyen Quang [Province: Vietnam]
704004
Cao Bang [Province: Vietnam]
704014
Son La [Province: Vietnam]
704015
Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam]
704019
Bac Kan and Thai Nguyen [Province: Vietnam]
704020
Lang Son [Province: Vietnam]
704022
Quang Ninh [Province: Vietnam]
704024
Bac Giang, and Bac Ninh [Province: Vietnam]
704030
Hai Duong and Hung Yen [Province: Vietnam]
704031
Hai Phong [Province: Vietnam]
704034
Thai Binh [Province: Vietnam]
704038
Thanh Hoa [Province: Vietnam]
704040
Nghe An and Ha Tinh [Province: Vietnam]
704046
Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam]
704049
Da Nang and Quang Nam [Province: Vietnam]
704051
Binh Dinh and Quang Ngai [Province: Vietnam]
704054
Phu Yen and Khanh Hoa [Province: Vietnam]
704060
Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam]
704062
Gia Lai and Kon Tum [Province: Vietnam]
704066
Dak Lak and Dak Nong [Province: Vietnam]
704068
Lam Dong [Province: Vietnam]
704072
Tay Ninh [Province: Vietnam]
704074
Binh Duong and Binh Phuoc [Province: Vietnam]
704075
Dong Nai and Ba Ria - Vung Tau [Province: Vietnam]
704079
Ho Chi Minh City [Province: Vietnam]
704080
Long An [Province: Vietnam]
704082
Tien Giang [Province: Vietnam]
704083
Ben Tre [Province: Vietnam]
704086
Vinh Long and Tra Vinh [Province: Vietnam]
704087
Dong Thap [Province: Vietnam]
704089
An Giang [Province: Vietnam]
704091
Kien Giang [Province: Vietnam]
704094
Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam]
704096
Bac Lieu and Ca Mau [Province: Vietnam]
705001
Pomurska [Region: Slovenia]
705002
Podravska [Region: Slovenia]
705003
Koroška [Region: Slovenia]
705004
Savinjska [Region: Slovenia]
705005
Zasavska [Region: Slovenia]
705006
Spodnjeposavska [Region: Slovenia]
705007
Jugovzhodna Slovenija [Region: Slovenia]
705008
Osrednjeslovenska [Region: Slovenia]
705009
Gorenjska [Region: Slovenia]
705010
Notranjsko-kraška [Region: Slovenia]
705011
Goriška [Region: Slovenia]
705012
Obalno-kraška [Region: Slovenia]
705099
Unknown [Region: Slovenia]
710001
Western Cape [Province: South Africa]
710004
Free State [Province: South Africa]
710005
Eastern Cape, KwaZulu-Natal [Province: South Africa]
710007
Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]
710999
Unknown [Province: South Africa]
724011
Galicia [Communities and Autonomous Cities: Spain]
724012
Principado de Asturias [Communities and Autonomous Cities: Spain]
724013
Cantabria [Communities and Autonomous Cities: Spain]
724021
PaĂs Vasco [Communities and Autonomous Cities: Spain]
724022
Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain]
724023
La Rioja [Communities and Autonomous Cities: Spain]
724024
AragĂłn [Communities and Autonomous Cities: Spain]
724030
Comunidad de Madrid [Communities and Autonomous Cities: Spain]
724041
Castilla y LeĂłn [Communities and Autonomous Cities: Spain]
724042
Castilla-La Mancha [Communities and Autonomous Cities: Spain]
724043
Extremadura [Communities and Autonomous Cities: Spain]
724051
Cataluña [Communities and Autonomous Cities: Spain]
724052
Comunidad Valenciana [Communities and Autonomous Cities: Spain]
724053
Illes Balears [Communities and Autonomous Cities: Spain]
724061
AndalucĂa [Communities and Autonomous Cities: Spain]
724062
RegiĂłn de Murcia [Communities and Autonomous Cities: Spain]
724063
Ciudad AutĂłnoma de Ceuta [Communities and Autonomous Cities: Spain]
724064
Ciudad AutĂłnoma de Melilla [Communities and Autonomous Cities: Spain]
724070
Canarias [Communities and Autonomous Cities: Spain]
724099
Unknown [Communities and Autonomous Cities: Spain]
728071
Upper Nile [State: South Sudan]
728072
Jonglei [State: South Sudan]
728073
Unity [State: South Sudan]
728081
Warrap [State: South Sudan]
728082
Northern Bahr El Ghazal [State: South Sudan]
728083
Western Bahr El Ghazal [State: South Sudan]
728084
Lakes [State: South Sudan]
728091
Western Equatoria [State: South Sudan]
728092
Central Equatoria [State: South Sudan]
728093
Eastern Equatoria [State: South Sudan]
729011
Northern [State: Sudan]
729012
Nahr El Nil [State: Sudan]
729021
Red Sea [State: Sudan]
729022
Kassala [State: Sudan]
729023
Al Gedarif [State: Sudan]
729031
Khartoum [State: Sudan]
729041
Al Gezira [State: Sudan]
729042
White Nile [State: Sudan]
729043
Sinnar [State: Sudan]
729044
Blue Nile [State: Sudan]
729051
North Kordofan [State: Sudan]
729052
South Kordofan [State: Sudan]
729061
North Darfur [State: Sudan]
729062
West Darfur [State: Sudan]
729063
South Darfur [State: Sudan]
756001
Zurich [Canton: Switzerland]
756002
Bern [Canton: Switzerland]
756003
Luzern (Lucerne) [Canton: Switzerland]
756004
Uri [Canton: Switzerland]
756005
Schwyz [Canton: Switzerland]
756006
Obwalden (Obwald) [Canton: Switzerland]
756007
Nidwalden (Nidwald) [Canton: Switzerland]
756008
Glarus [Canton: Switzerland]
756009
Zug [Canton: Switzerland]
756010
Fribourg [Canton: Switzerland]
756011
Solothurn [Canton: Switzerland]
756012
Basel-Stadt (Basel-City) [Canton: Switzerland]
756013
Basel-Landschaft (Basel-Country) [Canton: Switzerland]
756014
Schaffhausen [Canton: Switzerland]
756015
Outer and Inner Rhodes [Canton: Switzerland]
756017
St. Gallen (St. Gall) [Canton: Switzerland]
756018
Graubundun (Grisons) [Canton: Switzerland]
756019
Aargau (Argovia) [Canton: Switzerland]
756020
Thurgau (Thurgovia) [Canton: Switzerland]
756021
Ticino [Canton: Switzerland]
756022
Vaud [Canton: Switzerland]
756023
Valais [Canton: Switzerland]
756024
Neuchatel [Canton: Switzerland]
756025
Geneva [Canton: Switzerland]
756026
Jura [Canton: Switzerland]
764010
Bangkok [Province: Thailand]
764011
Samut Prakan [Province: Thailand]
764012
Nonthaburi [Province: Thailand]
764013
Pathum Thani [Province: Thailand]
764014
Phra Nakhon si Ayutthaya [Province: Thailand]
764015
Ang Thong [Province: Thailand]
764016
Lop Buri [Province: Thailand]
764017
Sing Buri [Province: Thailand]
764018
Chai Nat [Province: Thailand]
764019
Prachin Buri and Sa Kaeo [Province: Thailand]
764020
Chon Buri [Province: Thailand]
764021
Rayong [Province: Thailand]
764022
Chanthaburi [Province: Thailand]
764023
Trat [Province: Thailand]
764024
Chachoengsao [Province: Thailand]
764026
Nakhon Nayok [Province: Thailand]
764027
Saraburi [Province: Thailand]
764030
Nakhon Ratchasima [Province: Thailand]
764031
Buri Ram [Province: Thailand]
764032
Surin [Province: Thailand]
764033
Si Sa Ket [Province: Thailand]
764034
Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand]
764036
Chaiyaphum [Province: Thailand]
764040
Khon Kaen [Province: Thailand]
764041
Udon Thani and Nong Bua Lam Phu [Province: Thailand]
764042
Loei [Province: Thailand]
764043
Nong Khai [Province: Thailand]
764044
Maha Sarakham [Province: Thailand]
764045
Roi Et [Province: Thailand]
764046
Kalasin [Province: Thailand]
764047
Sakon Nakhon [Province: Thailand]
764048
Nakhon Phanom and Mukdahan [Province: Thailand]
764050
Chiang Mai [Province: Thailand]
764051
Lamphun [Province: Thailand]
764052
Lampang [Province: Thailand]
764053
Uttaradit [Province: Thailand]
764054
Phrae [Province: Thailand]
764055
Nan [Province: Thailand]
764057
Chiang Rai and Phayao [Province: Thailand]
764058
Mae Hong Son [Province: Thailand]
764060
Nakhon Sawan [Province: Thailand]
764061
Uthai Thani [Province: Thailand]
764062
Kamphaeng Phet [Province: Thailand]
764063
Tak [Province: Thailand]
764064
Sukhothai [Province: Thailand]
764065
Phitsanulok [Province: Thailand]
764066
Phichit [Province: Thailand]
764067
Phetchabun [Province: Thailand]
764070
Ratchaburi [Province: Thailand]
764071
Kanchanaburi [Province: Thailand]
764072
Suphanburi [Province: Thailand]
764073
Nakhon Pathom [Province: Thailand]
764074
Samut Sakhon [Province: Thailand]
764075
Samut Songkhram [Province: Thailand]
764076
Phetchaburi [Province: Thailand]
764077
Prachuap Khiri Khan [Province: Thailand]
764080
Nakhon Si Thammarat [Province: Thailand]
764081
Krabi [Province: Thailand]
764082
Phangnga [Province: Thailand]
764083
Phuket [Province: Thailand]
764084
Surat Thani [Province: Thailand]
764085
Ranong [Province: Thailand]
764086
Chumphon [Province: Thailand]
764090
Songkhla [Province: Thailand]
764091
Satun [Province: Thailand]
764092
Trang [Province: Thailand]
764093
Phatthalung [Province: Thailand]
764094
Pattani [Province: Thailand]
764095
Yala [Province: Thailand]
764096
Narathiwat [Province: Thailand]
792001
Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey]
792002
Adiyaman [Province: Turkey]
792003
Afyon [Province: Turkey]
792004
Agri [Province: Turkey]
792005
Amasya [Province: Turkey]
792006
Ankara and Kirikkale [Province: Turkey]
792007
Antalya [Province: Turkey]
792008
Artvin [Province: Turkey]
792009
Aydin [Province: Turkey]
792010
Balikesir [Province: Turkey]
792011
Bilecik [Province: Turkey]
792012
Bingöl [Province: Turkey]
792013
Bitlis [Province: Turkey]
792014
Bolu and DĂĽzce [Province: Turkey]
792015
Burdur [Province: Turkey]
792017
Çanakkale [Province: Turkey]
792019
Çorum [Province: Turkey]
792020
Denizli [Province: Turkey]
792021
Diyarbakir [Province: Turkey]
792022
Edirne [Province: Turkey]
792023
Elazig [Province: Turkey]
792024
Erzincan [Province: Turkey]
792025
Erzurum [Province: Turkey]
792026
Eskisehir [Province: Turkey]
792028
Giresun [Province: Turkey]
792029
GĂĽmĂĽshane and Bayburt [Province: Turkey]
792031
Hatay [Province: Turkey]
792032
Isparta [Province: Turkey]
792033
Mersin (içel) [Province: Turkey]
792034
Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey]
792035
Izmir [Province: Turkey]
792036
Kars, Ardahan and Igdir [Province: Turkey]
792037
Kastamonu [Province: Turkey]
792038
Kayseri [Province: Turkey]
792039
Kirklareli [Province: Turkey]
792040
Kirsehir [Province: Turkey]
792042
Konya and Karaman [Province: Turkey]
792043
KĂĽtahya [Province: Turkey]
792044
Malatya [Province: Turkey]
792045
Manisa [Province: Turkey]
792046
Kahramanmaras [Province: Turkey]
792047
Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey]
792048
Mugla [Province: Turkey]
792049
Mus [Province: Turkey]
792050
Nevsehir [Province: Turkey]
792051
Nigde and Aksaray [Province: Turkey]
792052
Ordu [Province: Turkey]
792053
Rize [Province: Turkey]
792054
Sakarya [Province: Turkey]
792055
Samsun [Province: Turkey]
792057
Sinop [Province: Turkey]
792058
Sivas [Province: Turkey]
792059
Tekirdag [Province: Turkey]
792060
Tokat [Province: Turkey]
792061
Trabzon [Province: Turkey]
792062
Tunceli [Province: Turkey]
792063
Sanliurfa [Province: Turkey]
792064
Usak [Province: Turkey]
792065
Van [Province: Turkey]
792066
Yozgat [Province: Turkey]
792067
Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey]
800101
Kalangala [District: Uganda]
800102
Kampala [District: Uganda]
800103
Kiboga [District: Uganda]
800104
Luwero and Nakasongola [District: Uganda]
800105
Masaka and Sembabule [District: Uganda]
800107
Mubende [District: Uganda]
800108
Mukono and Kayunga [District: Uganda]
800110
Rakai [District: Uganda]
800113
Mpigi and Wakiso [District: Uganda]
800203
Iganga, Buguri, and Mayuge [District: Uganda]
800204
Jinja [District: Uganda]
800205
Kamuli [District: Uganda]
800206
Kapchorwa [District: Uganda]
800208
Kumi [District: Uganda]
800209
Mbale and Sironko [District: Uganda]
800210
Pallisa [District: Uganda]
800211
Soroti, Katakwi, and Kaberamaido [District: Uganda]
800212
Busia and Tororo [District: Uganda]
800301
Moyo and Adjumani [District: Uganda]
800302
Apac [District: Uganda]
800303
Arua and Yumbe [District: Uganda]
800304
Gulu [District: Uganda]
800306
Kotido [District: Uganda]
800307
Lira [District: Uganda]
800308
Moroto and Nakapiripirit [District: Uganda]
800310
Nebbi [District: Uganda]
800312
Kitgum and Pader [District: Uganda]
800401
Bundibugyo [District: Uganda]
800403
Hoima [District: Uganda]
800404
Kabale [District: Uganda]
800405
Kabarole, Kamwenge, and Kyenjojo [District: Uganda]
800406
Kasese [District: Uganda]
800407
Kibaale [District: Uganda]
800408
Kisoro [District: Uganda]
800409
Masindi [District: Uganda]
800410
Bushenyi, Mbarara, and Ntungamo [District: Uganda]
800412
Rukungiri and Kanungu [District: Uganda]
800999
Unknown [District: Uganda]
804001
The Autonomous Republic of Crimea [Region: Ukraine]
804005
Vinnytska oblast [Region: Ukraine]
804007
Volynska oblast [Region: Ukraine]
804012
Dnipropetrovska oblast [Region: Ukraine]
804014
Donetska oblast [Region: Ukraine]
804018
Zhytomyrska oblast [Region: Ukraine]
804021
Zakarpatska oblast [Region: Ukraine]
804023
Zaporizka oblast [Region: Ukraine]
804026
Ivano-Frankivska oblast [Region: Ukraine]
804032
Kyivska oblast [Region: Ukraine]
804035
Kirovohradska oblast [Region: Ukraine]
804044
Luhanska oblast [Region: Ukraine]
804046
Lvivska oblast [Region: Ukraine]
804048
Mykolaivska oblast [Region: Ukraine]
804051
Odeska oblast [Region: Ukraine]
804053
Poltavska oblast [Region: Ukraine]
804056
Rivnenska oblast [Region: Ukraine]
804059
Sumska oblast [Region: Ukraine]
804061
Ternopilska oblast [Region: Ukraine]
804063
Kharkivska oblast [Region: Ukraine]
804065
Khersonska oblast [Region: Ukraine]
804068
Khmelnytska oblast [Region: Ukraine]
804071
Cherkaska oblast [Region: Ukraine]
804073
Chernivetska oblast [Region: Ukraine]
804074
Chernihivska oblast [Region: Ukraine]
804080
Kyiv [Region: Ukraine]
804085
Sevastopol [Region: Ukraine]
818001
Cairo [Governorate: Egypt]
818002
Alexandria [Governorate: Egypt]
818003
Port Said [Governorate: Egypt]
818004
Suez [Governorate: Egypt]
818011
Damietta [Governorate: Egypt]
818012
Dakahlia [Governorate: Egypt]
818013
Sharkia [Governorate: Egypt]
818014
Kaliobia [Governorate: Egypt]
818015
Kafr Sheikh [Governorate: Egypt]
818016
Gharbia [Governorate: Egypt]
818017
Menoufia [Governorate: Egypt]
818018
Behera [Governorate: Egypt]
818019
Ismailia [Governorate: Egypt]
818021
Giza [Governorate: Egypt]
818022
Bani Swif [Governorate: Egypt]
818023
Fayoum [Governorate: Egypt]
818024
Menia [Governorate: Egypt]
818025
Asiut [Governorate: Egypt]
818026
Sohag [Governorate: Egypt]
818027
Qena [Governorate: Egypt]
818028
Aswan [Governorate: Egypt]
818029
Luxor [Governorate: Egypt]
818031
Red Sea [Governorate: Egypt]
818032
New Valley [Governorate: Egypt]
818033
Marsa Matroh [Governorate: Egypt]
818034
North Sinai [Governorate: Egypt]
818035
South Sinai [Governorate: Egypt]
826011
North East [Region: United Kingdom]
826013
North West [Region: United Kingdom]
826014
Yorkshire and the Humber [Region: United Kingdom]
826021
East Midlands [Region: United Kingdom]
826022
West Midlands [Region: United Kingdom]
826031
East of England [Region: United Kingdom]
826032
South East and London [Region: United Kingdom]
826040
South West [Region: United Kingdom]
826060
Scotland [Region: United Kingdom]
826070
Wales [Region: United Kingdom]
826080
Northern Ireland [Region: United Kingdom]
834001
Dodoma [Region: Tanzania]
834003
Kilimanjaro [Region: Tanzania]
834004
Tanga [Region: Tanzania]
834005
Morogoro [Region: Tanzania]
834006
Pwani [Region: Tanzania]
834007
Dar es Salaam [Region: Tanzania]
834008
Lindi [Region: Tanzania]
834009
Mtwara [Region: Tanzania]
834010
Ruvumba [Region: Tanzania]
834011
Iringa [Region: Tanzania]
834012
Mbeya [Region: Tanzania]
834013
Singida [Region: Tanzania]
834014
Tabora [Region: Tanzania]
834015
Rukwa [Region: Tanzania]
834016
Kigoma [Region: Tanzania]
834017
Shinyanga [Region: Tanzania]
834018
Kagera [Region: Tanzania]
834019
Mwanza [Region: Tanzania]
834020
Mara [Region: Tanzania]
834021
Arusha and Manyara [Region: Tanzania]
834051
Zanzibar North [Region: Tanzania]
834052
Zanzibar South [Region: Tanzania]
834053
Zanzibar Town/West [Region: Tanzania]
834054
Pemba North [Region: Tanzania]
834055
Pemba South [Region: Tanzania]
840001
Alabama [State: U.S.]
840002
Alaska [State: U.S.]
840004
Arizona [State: U.S.]
840005
Arkansas [State: U.S.]
840006
California [State: U.S.]
840008
Colorado [State: U.S.]
840009
Connecticut [State: U.S.]
840010
Delaware [State: U.S.]
840011
District of Columbia [State: U.S.]
840012
Florida [State: U.S.]
840013
Georgia [State: U.S.]
840015
Hawaii [State: U.S.]
840016
Idaho [State: U.S.]
840017
Illinois [State: U.S.]
840018
Indiana [State: U.S.]
840019
Iowa [State: U.S.]
840020
Kansas [State: U.S.]
840021
Kentucky [State: U.S.]
840022
Louisiana [State: U.S.]
840023
Maine [State: U.S.]
840024
Maryland [State: U.S.]
840025
Massachusetts [State: U.S.]
840026
Michigan [State: U.S.]
840027
Minnesota [State: U.S.]
840028
Mississippi [State: U.S.]
840029
Missouri [State: U.S.]
840030
Montana [State: U.S.]
840031
Nebraska [State: U.S.]
840032
Nevada [State: U.S.]
840033
New Hampshire [State: U.S.]
840034
New Jersey [State: U.S.]
840035
New Mexico [State: U.S.]
840036
New York [State: U.S.]
840037
North Carolina [State: U.S.]
840038
North Dakota [State: U.S.]
840039
Ohio [State: U.S.]
840040
Oklahoma [State: U.S.]
840041
Oregon [State: U.S.]
840042
Pennsylvania [State: U.S.]
840044
Rhode Island [State: U.S.]
840045
South Carolina [State: U.S.]
840046
South Dakota [State: U.S.]
840047
Tennessee [State: U.S.]
840048
Texas [State: U.S.]
840049
Utah [State: U.S.]
840050
Vermont [State: U.S.]
840051
Virginia [State: U.S.]
840053
Washington [State: U.S.]
840054
West Virginia [State: U.S.]
840055
Wisconsin [State: U.S.]
840056
Wyoming [State: U.S.]
840099
State not identified [State: U.S.]
854001
Boucle du Mouhoun [Region: Burkina Faso]
854002
Cascades [Region: Burkina Faso]
854003
Centre [Region: Burkina Faso]
854004
Centre-Est [Region: Burkina Faso]
854005
Centre-Nord [Region: Burkina Faso]
854006
Centre-Ouest [Region: Burkina Faso]
854007
Centre-Sud [Region: Burkina Faso]
854008
Est [Region: Burkina Faso]
854009
Hauts-Bassins [Region: Burkina Faso]
854010
Nord [Region: Burkina Faso]
854011
Plateau Central [Region: Burkina Faso]
854012
Sahel [Region: Burkina Faso]
854013
Sud-Ouest [Region: Burkina Faso]
858001
Montevideo [Department: Uruguay]
858002
Artigas [Department: Uruguay]
858003
Canelones [Department: Uruguay]
858004
Cerro Largo [Department: Uruguay]
858005
Colonia [Department: Uruguay]
858006
Durazno [Department: Uruguay]
858007
Flores [Department: Uruguay]
858008
Florida [Department: Uruguay]
858009
Lavalleja [Department: Uruguay]
858010
Maldonado [Department: Uruguay]
858011
PaysandĂş [Department: Uruguay]
858012
RĂo Negro [Department: Uruguay]
858013
Rivera [Department: Uruguay]
858014
Rocha [Department: Uruguay]
858015
Salto [Department: Uruguay]
858016
San Jose [Department: Uruguay]
858017
Soriano [Department: Uruguay]
858018
TacuarembĂł [Department: Uruguay]
858019
Treinta Y Tres [Department: Uruguay]
862001
Federal District, Vargas [State: Venezuela]
862002
Amazonas Federal Territory [State: Venezuela]
862003
Anzoátegui [State: Venezuela]
862004
Apure [State: Venezuela]
862005
Aragua [State: Venezuela]
862007
BolĂvar [State: Venezuela]
862008
Carabobo [State: Venezuela]
862009
Cojedes [State: Venezuela]
862010
Amacuros Delta Federal Territory [State: Venezuela]
862011
FalcĂłn [State: Venezuela]
862012
Guárico [State: Venezuela]
862013
Lara [State: Venezuela]
862014
Barinas, MĂ©rida [State: Venezuela]
862015
Miranda [State: Venezuela]
862016
Monagas [State: Venezuela]
862017
Nueva Esparta, Federal Dependencies [State: Venezuela]
862018
Portuguesa [State: Venezuela]
862019
Sucre [State: Venezuela]
862020
Táchira [State: Venezuela]
862021
Trujillo [State: Venezuela]
862022
Yaracuy [State: Venezuela]
862023
Zulia [State: Venezuela]
894001
Central [Province: Zambia]
894002
Copperbelt [Province: Zambia]
894003
Eastern, Muchinga, Northern [Province: Zambia]
894004
Luapula [Province: Zambia]
894005
Lusaka [Province: Zambia]
894008
North Western [Province: Zambia]
894009
Southern [Province: Zambia]
894010
Western [Province: Zambia]
GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
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
Record type
Record type
Record type
Record type
Record type
Record type
All records
1
Household
2
Person
This variable indicates the record type.
Technical Household Variables -- HOUSEHOLD
IPUMS
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
All records
This variable indicates the dwelling number.
This is a 5-digit numeric variable with 0 implied decimal places
Technical Household Variables -- HOUSEHOLD
IPUMS
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
Household number (within dwelling)
1
1
This variable indicates the household number (within dwelling).
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
All records
1
1
This variable indicates the number of households in dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
Number of persons in dwelling
All records
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
This variable indicates the number of persons in dwelling.
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 records
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
This variable indicates the number of persons in household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of heads in household (dwelling-wide maximum)
Number of heads in household (dwelling-wide maximum)
Number of heads in household (dwelling-wide maximum)
Number of heads in household (dwelling-wide maximum)
Number of heads in household (dwelling-wide maximum)
Number of heads in household (dwelling-wide maximum)
All records
Zero; no problem
1
One
2
Two or more
3
Headless
This variable indicates the number of heads in household (dwelling-wide maximum).
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of heads in household
Number of heads in household
Number of heads in household
Number of heads in household
Number of heads in household
Number of heads in household
All records
Zero; no problem
1
One
2
Two or more
3
Headless
This variable indicates the number of heads in household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of spouses in household (dwelling-wide maximum)
Number of spouses in household (dwelling-wide maximum)
Number of spouses in household (dwelling-wide maximum)
Number of spouses in household (dwelling-wide maximum)
Number of spouses in household (dwelling-wide maximum)
Number of spouses in household (dwelling-wide maximum)
All records
Zero
1
One
2
Two or more
This variable indicates the number of spouses in household (dwelling-wide maximum).
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of spouses in household
Number of spouses in household
Number of spouses in household
Number of spouses in household
Number of spouses in household
Number of spouses in household
All records
Zero
1
One
2
Two or more
This variable indicates the number of spouses in household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Head not first (dwelling-wide)
Head not first (dwelling-wide)
Head not first (dwelling-wide)
Head not first (dwelling-wide)
Head not first (dwelling-wide)
Head not first (dwelling-wide)
All records
No problem
1
One or more households have misplaced heads (not as the first person)
This variable indicates whether head is not first (dwelling-wide).
Technical Household Variables -- HOUSEHOLD
IPUMS
Head not first
Head not first
Head not first
Head not first
Head not first
Head not first
All records
No problem
1
Household has a misplaced head (not as the first person)
This variable indicates whether head is not first.
Technical Household Variables -- HOUSEHOLD
IPUMS
Duplicate person records (dwelling-wide)
Duplicate person records (dwelling-wide)
Duplicate person records (dwelling-wide)
Duplicate person records (dwelling-wide)
Duplicate person records (dwelling-wide)
Duplicate person records (dwelling-wide)
All records
None
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
This variable indicates the number of duplicate person records (dwelling-wide).
Technical Household Variables -- HOUSEHOLD
IPUMS
Duplicate person records (household-wide)
Duplicate person records (household-wide)
Duplicate person records (household-wide)
Duplicate person records (household-wide)
Duplicate person records (household-wide)
Duplicate person records (household-wide)
All records
None
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
This variable indicates the number of duplicate person records (household-wide).
Technical Household Variables -- HOUSEHOLD
IPUMS
Duplicate person record
Duplicate person record
Duplicate person record
Duplicate person record
Duplicate person record
Duplicate person record
All records
No problem
1
Record equals the previous person record
This variable indicates whether there is a duplicate person record.
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 records
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 if a dwelling was created by splitting apart a large dwelling or household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of persons in large dwelling before it was split
Number of persons in large dwelling before it was split
Number of persons in large dwelling before it was split
Number of persons in large dwelling before it was split
Number of persons in large dwelling before it was split
Number of persons in large dwelling before it was split
All records
Not split
This variable indicates the number of persons in a large dwelling before it was split.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of persons in large household before it was split
Number of persons in large household before it was split
Number of persons in large household before it was split
Number of persons in large household before it was split
Number of persons in large household before it was split
Number of persons in large household before it was split
All records
Not split
This variable indicates the number of persons in a large household before it was split.
Technical Household Variables -- HOUSEHOLD
IPUMS
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
All records
No
1
Yes (for one or more households in the dwelling)
This variable indicates whether a misplaced head was moved to first position (dwelling-wide).
Technical Household Variables -- HOUSEHOLD
IPUMS
Misplaced head was moved to first position
Misplaced head was moved to first position
Misplaced head was moved to first position
Misplaced head was moved to first position
Misplaced head was moved to first position
Misplaced head was moved to first position
All records
No
1
Yes
This variable indicates whether a misplaced head was moved to first position.
Technical Household Variables -- HOUSEHOLD
IPUMS
Trimester
Trimester
Trimester
Trimester
Trimester
Trimester
All households
1
First trimester
2
Second trimester
3
Third trimester
4
Fourth trimester
This variable indicates the trimester of data collection (1st-4th).
Technical Household Variables -- HOUSEHOLD
IPUMS
Month
Month
Month
Month
Month
Month
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
This variable indicates the month of data collection.
Technical Household Variables -- HOUSEHOLD
IPUMS
Week
Week
Week
Week
Week
Week
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
This variable indicates the week of data collection.
Technical Household Variables -- HOUSEHOLD
IPUMS
Department
Department
Department
Department
Department
Department
All households
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
This variable indicates the department where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Census Section
Census Section
Census Section
Census Section
Census Section
Census Section
Households in Montevideo
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
99
99
This variable indicates the census section.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Segment
Segment
Segment
Segment
Segment
Segment
Households in Montevideo
This variable indicates the segment.
This is a 3-digit numeric variable with 0 implied decimal places
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Region
Region
Region
Region
Region
Region
All households
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
26
26
27
27
28
28
29
29
36
36
37
37
38
38
39
39
This variable indicates the region where the household is located.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Stratum
Stratum
Stratum
Stratum
Stratum
Stratum
All households
1
Montevideo low
2
Montevideo medium-low
3
Montevideo medium-high
4
Montevideo high
5
Outskirts
6
Departments north
7
Departments central north
8
Departments central south
9
Departments south
This variable indicates the household stratum.
Technical Household Variables -- HOUSEHOLD
IPUMS
Household number
Household number
Household number
Household number
Household number
6. Household number _ _
All households
1
1
This variable indicates the household number.
Technical Household Variables -- HOUSEHOLD
IPUMS
Household number
Household number
Household number
Household number
Household number
6. Household number _ _
All households
1
1
This variable indicates the household number.
Technical Household Variables -- HOUSEHOLD
IPUMS
Type of dwelling
Type of dwelling
Type of dwelling
Type of dwelling
Type of dwelling
1. Type of dwelling
[] 1 House
[] 2 Apartment or house in building complex
[] 3 Apartment in a multi-story building
[] 4 Apartment in a single-story building
[] 5 Building not for residential purposes
All households
1
House
2
Apartment or house in housing complex
3
Apartment in multi-story building
4
Apartment in single-story building
5
Building not for residential purposes
This variable indicates the type of dwelling.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Material of walls
Material of walls
Material of walls
Material of walls
Material of walls
2. What is the predominant material of the exterior walls?
[] 1 Brick, ticholos, or finished blocks
[] 2 Brick, ticholos, or unfinished blocks
[] 3 Light materials with coating
[] 4 Light materials without coating
[] 5 Adobe
[] 6 Waste materials
All households
1
Brick/ticholos/finished blocks
2
Brick/ticholos/unfinished blocks
3
Light materials with coating
4
Light materials without coating
5
Adobe
6
Waste materials
This variable indicates the dwelling's walls material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Material of roof
Material of roof
Material of roof
Material of roof
Material of roof
3. What is the predominant material of the roof?
[] 1 Concrete with protection (tiles or other)
[] 2 Concrete without protection
[] 3 Light with a flat ceiling
[] 4 Light without a flat ceiling
[] 5 Thatch
[] 6 Waste materials
All households
1
Concrete with protection
2
Concrete without protection
3
Light with flat ceiling
4
Light without flat ceiling
5
Thatch
6
Waste materials
This variable indicates the dwelling's roof material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Material of floor
Material of floor
Material of floor
Material of floor
Material of floor
4. What is the predominant material of the floors?
[] 1 Tiles, parquet, carpet, linoleum
[] 2 Limestone tiles
[] 3 Smoothed concrete
[] 4 No floor underlayment
[] 5 Earth without floor or underlayment
All households
1
Tiles/parquet/carpet/linoleum
2
Limestone tiles
3
Smoothed concrete
4
No floor underlayment
5
Earth
This variable indicates the dwelling's floor material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Years since restoration/construction
Years since restoration/construction
Years since restoration/construction
Years since restoration/construction
Years since restoration/construction
MV1. How many years have passed since this building was built or restored has this dwelling?
[] 1 Fewer than 5 years
[] 2 Between 5 and 10 years
[] 3 Between 11 and 20 years
[] 4 Between 21 and 30 years
[] 5 More than 30 years
Households in first trimester
NIU (not in universe)
1
Less than 5 years
2
Between 5 and 10 years
3
Between 11 and 20 years
4
Between 21 and 30 years
5
More than 30 years
This variable indicates the years since restoration/construction of the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Leaks in roof
Leaks in roof
Leaks in roof
Leaks in roof
Leaks in roof
MV2. Do you have any of the following problems in your dwelling?
Leaks in the roof
[] 1 Yes
[] 2 No
Households in first trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates if there are leaks in dwelling's roof.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Poor ventilation
Poor ventilation
Poor ventilation
Poor ventilation
Poor ventilation
MV2. Do you have any of the following problems in your dwelling?
Poor ventilation
[] 1 Yes
[] 2 No
Households in first trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether there is poor ventilation in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Floods when raining
Floods when raining
Floods when raining
Floods when raining
Floods when raining
MV2. Do you have any of the following problems in your dwelling?
It gets flooded when it rains
[] 1 Yes
[] 2 No
Households in first trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the dwelling floods when it is raining.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Risk of collapse
Risk of collapse
Risk of collapse
Risk of collapse
Risk of collapse
MV2. Do you have any of the following problems in your dwelling?
Risk of collapse
[] 1 Yes
[] 2 No
Households in first trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether there is risk of collapse in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Electricity network
Electricity network
Electricity network
Electricity network
Electricity network
MV3. Only for urban areas
In the block where the dwelling is located, do you have [the following]?
Electricity network
[] 1 Yes
[] 2 No
Urban households in first trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the block where dwelling is located has electricity network.
Utilities Variables -- HOUSEHOLD
IPUMS
Water network
Water network
Water network
Water network
Water network
MV3. Only for urban areas
In the block where the dwelling is located, do you have [the following]?
Water network
[] 1 Yes
[] 2 No
Urban households in first trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the block where dwelling is located ha water network.
Utilities Variables -- HOUSEHOLD
IPUMS
Sewerage network
Sewerage network
Sewerage network
Sewerage network
Sewerage network
MV3. Only for urban areas
In the block where the dwelling is located, do you have [the following]?
Sewerage network
[] 1 Yes
[] 2 No
Urban households in first trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the block where dwelling is located has sewerage network.
Utilities Variables -- HOUSEHOLD
IPUMS
Gas network
Gas network
Gas network
Gas network
Gas network
MV3. Only for urban areas
In the block where the dwelling is located, do you have [the following]?
Gas network
[] 1 Yes
[] 2 No
Urban households in first trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the block where dwelling is located has gas network.
Utilities Variables -- HOUSEHOLD
IPUMS
Garbage collection
Garbage collection
Garbage collection
Garbage collection
Garbage collection
MV3. Only for urban areas
In the block where the dwelling is located, do you have [the following]?
Daily or every other day garbage collection
[] 1 Yes
[] 2 No
Urban households in first trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the block where dwelling is located has garbage collection.
Utilities Variables -- HOUSEHOLD
IPUMS
Garbage container
Garbage container
Garbage container
Garbage container
Garbage container
MV3. Only for urban areas
In the block where the dwelling is located, do you have [the following]?
Garbage container
[] 1 Yes
[] 2 No
Urban households in first trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the block where dwelling is located has a garbage container.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Rain drain
Rain drain
Rain drain
Rain drain
Rain drain
MV3. Only for urban areas
In the block where the dwelling is located, do you have [the following]?
Rain drain (ditch, sewer)
[] 1 Yes
[] 2 No
Urban households in first trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the block where dwelling is located has a rain drain.
Other Household Variables -- HOUSEHOLD
IPUMS
Working public lighting
Working public lighting
Working public lighting
Working public lighting
Working public lighting
MV3. Only for urban areas
In the block where the dwelling is located, do you have [the following]?
Street lights working
[] 1 Yes
[] 2 No
Urban households in first trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the block where dwelling is located has working public lighting.
Other Household Variables -- HOUSEHOLD
IPUMS
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
Number of households in dwelling
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
20
20
21
21
22
22
25
25
27
27
29
29
30
30
31
31
32
32
40
40
41
41
This variable indicates the number of households in dwelling.
Other Household Variables -- HOUSEHOLD
IPUMS
Tenancy status
Tenancy status
Tenancy status
Tenancy status
Tenancy status
7. Regarding this dwelling, is this household [in any of the following categories]?
[] 1 Owner of the dwelling and land and paying for it
Amount to be paid for buying the dwelling and land _ _ _ _ _
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 2 Owner of the dwelling and land and already paid for it
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 3 Owner only of the dwelling and paying for it
Amount to be paid for buying the dwelling _ _ _ _ _
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 4 Owner only of the dwelling and already paid for it
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 5 Renting the dwelling
Rent amount _ _ _ _ _
[] 6 Occupant with dependency relationship
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 7 Occupant not paying for it (dwelling was ceded by owner)
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 8 Occupant without permission of the owner
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
All households
1
Own dwelling and land, paying
2
Own dwelling and land, paid
3
Own dwelling, paying
4
Own dwelling, paid
5
Rented
6
Occupied, dependent
7
Occupied, not paying
8
Occupied without permission
This variable indicates tenancy status of the dwelling.
Household Economic Variables -- HOUSEHOLD
IPUMS
Purchase price
Purchase price
Purchase price
Purchase price
Purchase price
7. Regarding this dwelling, is this household [in any of the following categories]?
[] 1 Owner of the dwelling and land and paying for it
Amount to be paid for buying the dwelling and land _ _ _ _ _
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 2 Owner of the dwelling and land and already paid for it
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 3 Owner only of the dwelling and paying for it
Amount to be paid for buying the dwelling _ _ _ _ _
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 4 Owner only of the dwelling and already paid for it
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 5 Renting the dwelling
Rent amount _ _ _ _ _
[] 6 Occupant with dependency relationship
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 7 Occupant not paying for it (dwelling was ceded by owner)
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 8 Occupant without permission of the owner
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
All households
This variable indicates the dwelling's purchase price.
This is a 6-digit numeric variable with 0 implied decimal places
Household Economic Variables -- HOUSEHOLD
IPUMS
Rental price
Rental price
Rental price
Rental price
Rental price
7. Regarding this dwelling, is this household [in any of the following categories]?
[] 1 Owner of the dwelling and land and paying for it
Amount to be paid for buying the dwelling and land _ _ _ _ _
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 2 Owner of the dwelling and land and already paid for it
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 3 Owner only of the dwelling and paying for it
Amount to be paid for buying the dwelling _ _ _ _ _
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 4 Owner only of the dwelling and already paid for it
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 5 Renting the dwelling
Rent amount _ _ _ _ _
[] 6 Occupant with dependency relationship
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 7 Occupant not paying for it (dwelling was ceded by owner)
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
[] 8 Occupant without permission of the owner
(Only for urban areas)
Estimated amount that would be paid if the dwelling were rented _ _ _ _ _
All households
This variable indicates the dwelling's rental price.
This is a 6-digit numeric variable with 0 implied decimal places
Household Economic Variables -- HOUSEHOLD
IPUMS
Irregular settlement
Irregular settlement
Irregular settlement
Irregular settlement
Irregular settlement
MV4. Only for the enumerator, following the PIAI definition, is this dwelling located in an unauthorized settlement?
[Questions in MV4 correspond to each of the alternatives of question 7]
[] Owner of the dwelling and land and paying for it
[] 2 No (go to question MV7)
[] Owner of the dwelling and land and already paid for it
[] 2 No (go to question MV7)
[] Owner only of the dwelling and paying for it
[] 1 Yes
[] 2 No (go to question MV7)
[] Owner only of the dwelling and already paid for it
[] 1 Yes
[] 2 No (go to question MV7)
[] Renting the dwelling
[] 1 Yes
[] 2 No
[] Occupant with dependency relationship
[] 1 Yes
[] 2 No (go to question MV10)
[] Occupant not paying for it (dwelling was ceded by owner)
[] 1 Yes
[] 2 No (go to question MV10)
[] Occupant without permission of the owner
[] 1 Yes
[] 2 No (go to question MV10)
Households in first trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the dwelling is located in an irregular settlement.
Other Household Variables -- HOUSEHOLD
IPUMS
Written/oral rental contract
Written/oral rental contract
Written/oral rental contract
Written/oral rental contract
Written/oral rental contract
MV5. Only for households renting the dwelling, do you have a written or oral lease contract?
[Question MV5 was asked of households renting the dwelling, as per question 7.]
[] 1 Written
[] 2 Oral (go to question MV10)
Households in first trimester renting dwelling
NIU (not in universe)
1
Written
2
Oral
This variable indicates whether the household has a written or oral rental contract.
Other Household Variables -- HOUSEHOLD
IPUMS
Rent contract guarantee source
Rent contract guarantee source
Rent contract guarantee source
Rent contract guarantee source
Rent contract guarantee source
MV6. Who gave you the guarantee to rent?
[Question MV6 was asked of households with written lease contract for renting the dwelling, as per questions 7 and MV5.]
[] 1 Did not need guarantee
[] 2 Private person (friend, relative)
[] 3 Private person with whom there is some kind of contract
[] 4 Nation General Accounting Office
[] 5 ANDA [national affiliates association]
[] 6 Rent guarantee PIAI [program of integration of irregular settlements]
[] 7 Deposit as guarantee (BHU, mortgage bank of Uruguay)
[] 8 Deposit as guarantee (private)
[] 9 Ministry of Housing (guarantee fund)
[] 10 Other
[Households with written lease contract for renting the dwelling] Go to MV10
Households in first trimester renting dwelling and with written contract
NIU (not in universe)
1
No guarantee needed
2
Person
3
Person with contract
4
National General Accounting Office
5
ANDA (national affiliates association)
6
PIAI (program of integration of irregular settlements)
7
Deposit (BHU, mortgage bank of Uruguay)
8
Deposit (private)
9
Ministry of Housing
10
Other
This variable indicates the rent contract guarantee source.
Other Household Variables -- HOUSEHOLD
IPUMS
Method of dwelling acquisition
Method of dwelling acquisition
Method of dwelling acquisition
Method of dwelling acquisition
Method of dwelling acquisition
MV7. How did you obtain this dwelling?
[Question MV7 was asked of households who owned or were paying to own the dwelling, as per question 7.]
(Mark the main alternative)
[] 1 Own resources (go to question MV10)
[] 2 Private bank loan (go to question MV10)
[] 3 Cooperative funds (go to question MV10)
[] 4 Other private loans (go to question MV10)
[] 5 Inheritance (go to question MV10)
[] 6 It was a gift (go to question MV10)
[] 7 Public loan or program
Households in first trimester owning dwelling
NIU (not in universe)
1
Own resources
2
Private bank loan
3
Cooperative funds
4
Other private loans
5
Inheritance
6
Gift
7
Public loan/program
This variable indicates the method of dwelling acquisition.
Other Household Variables -- HOUSEHOLD
IPUMS
Public program used for dwelling acquisition
Public program used for dwelling acquisition
Public program used for dwelling acquisition
Public program used for dwelling acquisition
Public program used for dwelling acquisition
MV8. Through which public credit or program you got access to your dwelling?
[Question MV8 was asked of households who used public loan or program to own the dwelling, as per questions 7 and MV7.]
[] 1 BHU [mortgage bank of Uruguay] (loans, saving groups, dwellings built by BHU, etc.)
[] 2 MVOTMA [ministry of housing] - SIAV [integrated system of housing access]
[] 3 MEVIR [commission to eradicate non-sanitary rural dwellings]
[] 4 RAVE [registry of applicants to emergency dwellings]
[] 5 PIAI regularization [program of integration of irregular settlements]
[] 6 Municipality
[] 7 Other
Households in first trimester that bought dwelling through credit
NIU (not in universe)
1
BHU (mortgage bank of Uruguay)
2
MVOTMA - SIAV (ministry of housing)
3
MEVIR (commission to eradicate non-sanitary rural dwellings)
4
RAVE (registry of applicants to emergency dwellings)
5
PIAI (program of integration of irregular settlements)
6
Municipality
7
Other
This variable indicates whether a public program was used for dwelling acquisition.
Other Household Variables -- HOUSEHOLD
IPUMS
Length of tenure (years)
Length of tenure (years)
Length of tenure (years)
Length of tenure (years)
Length of tenure (years)
MV10. How long has your household been living in this dwelling?
_ _
(If it is more than five years, go to question 8)
Households in first trimester
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
87
87
89
89
90
90
93
93
95
95
99
NIU (not in universe)
This variable indicates the length of tenure (years).
Other Household Variables -- HOUSEHOLD
IPUMS
Reason for leaving previous dwelling
Reason for leaving previous dwelling
Reason for leaving previous dwelling
Reason for leaving previous dwelling
Reason for leaving previous dwelling
MV11. What was the reason to leave your previous dwelling (the last time)?
[Question MV11 was asked of households that had been living in the current dwelling for five years or less, as per question MV10.]
[] 1 Evicted
[] 2 Economic reasons
[] 3 The previous dwelling was deteriorated
[] 4 Access to owned dwelling
[] 5 Change of job
[] 6 Needed more room
[] 7 Other personal reasons
Households in first trimester that left previous dwelling less than 5 years ago
NIU (not in universe)
1
Evicted
2
Economic
3
Deteriorated
4
Access to owned dwelling
5
Job change
6
Needed more space
7
Other personal reasons
This variable indicates the reason for leaving previous dwelling.
Other Household Variables -- HOUSEHOLD
IPUMS
Rooms
Rooms
Rooms
Rooms
Rooms
8. How many rooms are used in this dwelling, not considering bathroom or kitchen? _ _
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
17
17
19
19
20
20
30
30
31
31
40
40
42
42
47
47
50
50
54
54
60
60
70
70
80
80
This variable indicates the number of rooms in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Bedrooms
Bedrooms
Bedrooms
Bedrooms
Bedrooms
9. How many rooms are used by this household to sleep? _ _
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
20
20
21
21
22
22
30
30
40
40
This variable indicates the number of bedrooms in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Water source
Water source
Water source
Water source
Water source
10. What is the source of water used by this household to drink and cook?
[] 1 Public network (go to question 13)
[] 2 Well
[] 3 Tank
[] 4 Stream, river (go to question 12)
[] 5 Other
All households
1
Public network
2
Well
3
Tank
4
River
5
Other
This variable indicates the household's water source.
Utilities Variables -- HOUSEHOLD
IPUMS
Potability analysis
Potability analysis
Potability analysis
Potability analysis
Potability analysis
11 In the last 12 months, did you do a potability control analysis?
[Question 11 was asked of households whose sources of drinking water were not from public network and river, as per question 10.]
[] 1 Yes
[] 2 No
Households using well, tank, or other as water source
NIU (not in universe)
1
Yes
2
No
This variable indicates if potability analysis was performed on water source (last 12 months).
Other Household Variables -- HOUSEHOLD
IPUMS
Water treatment used
Water treatment used
Water treatment used
Water treatment used
Water treatment used
12. Did you do any treatment to water used for drinking or cooking?
[Question 12 was asked of households whose source of drinking water was not from public network, as per question 10.]
[] 1 Yes
[] 2 No
Households using well, tank, river, or other as water source
NIU (not in universe)
1
Yes
2
No
This variable indicates whether a water treatment was used.
Other Household Variables -- HOUSEHOLD
IPUMS
Water obtained from
Water obtained from
Water obtained from
Water obtained from
Water obtained from
13. How does the dwelling occupied by this household receive water?
[] 1 Public network, inside the dwelling
[] 2 Public network, outside the dwelling
[] 3 Other means
All households
1
Public network, inside dwelling
2
Public network, outside dwelling
3
Other means
This variable indicates whether water was obtained through a public network or other means.
Utilities Variables -- HOUSEHOLD
IPUMS
Type of bathroom
Type of bathroom
Type of bathroom
Type of bathroom
Type of bathroom
14. Does this dwelling have bathroom?
[] 1 Yes, with a cistern
[] 2 Yes, without a cistern
[] 3 No (go to question 18)
All households
1
Yes, with cistern
2
Yes, without cistern
3
No
This variable indicates the type of bathroom.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Bathrooms
Bathrooms
Bathrooms
Bathrooms
Bathrooms
15. How many bathrooms does it have?
[Question 15 was asked of dwellings that had a bathroom, as per question 14.]
_ _
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
9
9
10
10
11
11
12
12
20
20
21
21
23
23
31
31
40
40
52
52
57
57
85
85
This variable indicates the number of bathrooms in the dwelling.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Bathroom use
Bathroom use
Bathroom use
Bathroom use
Bathroom use
16. The bathroom is:
[Question 16 was asked of dwellings that had a bathroom, as per question 14.]
[] 1 For exclusive use of this household
[] 2 Shared with other household
Households with bathroom
NIU (not in universe)
1
Exclusive use
2
Shared use
This variable indicates whether the bathroom is of exclusive or shared use.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Sewage disposal
Sewage disposal
Sewage disposal
Sewage disposal
Sewage disposal
17. The toilet is discharged:
[Question 17 was asked of dwellings that had a bathroom, as per question 14.]
[] 1 To a public network
[] 2 Septic tank, cesspool
[] 3 Piped towards the river
[] 4 Other (surface, etc.)
Households with bathroom
NIU (not in universe)
1
Public network
2
Septic tank/cesspool
3
Piped to river
4
Other
This variable indicates the household's type of sewage disposal.
Utilities Variables -- HOUSEHOLD
IPUMS
Lighting source
Lighting source
Lighting source
Lighting source
Lighting source
18. What is the main source for lighting for this dwelling?
[] 1 Electricity from U.T.E. [public electricity company]
[] 1 Monthly amount paid, on average _ _ _ _ _
[] 2 Does not paid but it is using it
[] 2 Electricity from own generator
[] 3 Battery charger (solar, wind energy)
[] 4 Lightning using supergas or kerosene
[] 5 Candles
All households
1
Public utility (U.T.E.)
2
Generator
3
Battery charger (solar/wind)
4
Gas/kerosene
5
Candles
This variable indicates the household's main lighting source.
Utilities Variables -- HOUSEHOLD
IPUMS
Paying for public electricity
Paying for public electricity
Paying for public electricity
Paying for public electricity
Paying for public electricity
18. What is the main source for lighting for this dwelling?
[] 1 Electricity from U.T.E. [public electricity company]
[] 1 Monthly amount paid, on average _ _ _ _ _
[] 2 Does not paid but it is using it
[] 2 Electricity from own generator
[] 3 Battery charger (solar, wind energy)
[] 4 Lightning using supergas or kerosene
[] 5 Candles
Households using public utility electricity
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the household is paying for public electricity.
Other Household Variables -- HOUSEHOLD
IPUMS
Monthly payment for lighting
Monthly payment for lighting
Monthly payment for lighting
Monthly payment for lighting
Monthly payment for lighting
18. What is the main source for lighting for this dwelling?
[] 1 Electricity from U.T.E. [public electricity company]
[] 1 Monthly amount paid, on average _ _ _ _ _
[] 2 Does not paid but it is using it
[] 2 Electricity from own generator
[] 3 Battery charger (solar, wind energy)
[] 4 Lightning using supergas or kerosene
[] 5 Candles
Households paying for public utility electricity
This variable indicates the monthly payment for lighting.
This is a 5-digit numeric variable with 0 implied decimal places
Other Household Variables -- HOUSEHOLD
IPUMS
Kitchen
Kitchen
Kitchen
Kitchen
Kitchen
19. In this household, is there an appropriate place for cooking, with a sink and faucet?
[] 1 Yes, of private use for this household
[] 2 Yes, shared with other households
[] 3 No
All households
1
Yes, private use
2
Yes, shared use
3
No
This variable indicates whether the household has a kitchen.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Energy source for cooking
Energy source for cooking
Energy source for cooking
Energy source for cooking
Energy source for cooking
20. What is the main source of energy used by this household to cook?
[] 1 Electricity (U.T.E. [public electricity company])
[] 2 Electricity (generator)
[] 3 Piped gas
[] 4 Supergas
[] 5 Kerosene
[] 6 Wood
[] 7 None
All households
1
Public electricity (U.T.E.)
2
Electricity - generator
3
Piped gas
4
LPG (supergas)
5
Kerosene
6
Wood
7
None
This variable indicates the energy source used for cooking.
Utilities Variables -- HOUSEHOLD
IPUMS
Heating
Heating
Heating
Heating
Heating
MV12. Does this household use any heating or cooling for the rooms? Give the main type.
[] 1 Stove (includes radiant panel or similar)
[] 2 Air conditioner
[] 3 Central heating system
[] 4 Other
[] 5 None (go to question MV14)
Households in first trimester
NIU (not in universe)
1
Stove
2
Air conditioner
3
Central heating
4
Other
5
None
This variable indicates the household's type of heating.
Utilities Variables -- HOUSEHOLD
IPUMS
Energy source for heating
Energy source for heating
Energy source for heating
Energy source for heating
Energy source for heating
MV13. What is the main energy source used by this household to heat the rooms?
[Question MV13 was asked of households that heated the rooms, as per question MV12.]
[] 1 Electricity
[] 2 Wood
[] 3 Piped gas
[] 4 Supergas
[] 5 Kerosene
[] 6 Gas oil or fuel oil
[] 7 Other
Households in first trimester using heating
NIU (not in universe)
1
Public electricity (U.T.E.)
2
Electricity - generator
3
Piped gas
4
LPG (supergas)
5
Kerosene
6
Gas/fuel oil
7
Other
This variable indicates the energy source for heating.
Utilities Variables -- HOUSEHOLD
IPUMS
Rooms for commercial use
Rooms for commercial use
Rooms for commercial use
Rooms for commercial use
Rooms for commercial use
MV14. Does this household use rooms or bedrooms of the dwelling exclusively for the operation of a business?
[] 1 Yes
[] 2 No
Households in first trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether there are rooms for commercial use.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Rooms for rental use
Rooms for rental use
Rooms for rental use
Rooms for rental use
Rooms for rental use
MV15. Does this household rent some rooms to persons who are not members of the household?
[] 1 Yes
[] 2 No
Households in first trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether there are rooms for rental use.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Hot water heater - electric
Hot water heater - electric
Hot water heater - electric
Hot water heater - electric
Hot water heater - electric
21. Does his household have [the following appliances]?
Hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using piped gas
[] 1 Yes
[] 2 No
Using supergas
[] 1 Yes
[] 2 No
Instant hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using other type of energy
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has hot water heater (electric).
Utilities Variables -- HOUSEHOLD
IPUMS
Hot water heater - piped gas
Hot water heater - piped gas
Hot water heater - piped gas
Hot water heater - piped gas
Hot water heater - piped gas
21. Does his household have [the following appliances]?
Hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using piped gas
[] 1 Yes
[] 2 No
Using supergas
[] 1 Yes
[] 2 No
Instant hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using other type of energy
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has hot water heater (piped gas).
Utilities Variables -- HOUSEHOLD
IPUMS
Hot water heater - supergas [cylinder/propane]
Hot water heater - supergas [cylinder/propane]
Hot water heater - supergas [cylinder/propane]
Hot water heater - supergas [cylinder/propane]
Hot water heater - supergas [cylinder/propane]
21. Does his household have [the following appliances]?
Hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using piped gas
[] 1 Yes
[] 2 No
Using supergas
[] 1 Yes
[] 2 No
Instant hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using other type of energy
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has hot water heater (supergas, cylinder/propane).
Utilities Variables -- HOUSEHOLD
IPUMS
Instant hot water heater - electric
Instant hot water heater - electric
Instant hot water heater - electric
Instant hot water heater - electric
Instant hot water heater - electric
21. Does his household have [the following appliances]?
Hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using piped gas
[] 1 Yes
[] 2 No
Using supergas
[] 1 Yes
[] 2 No
Instant hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using other type of energy
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has instant hot water heater (electric).
Utilities Variables -- HOUSEHOLD
IPUMS
Instant hot water heater - other
Instant hot water heater - other
Instant hot water heater - other
Instant hot water heater - other
Instant hot water heater - other
21. Does his household have [the following appliances]?
Hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using piped gas
[] 1 Yes
[] 2 No
Using supergas
[] 1 Yes
[] 2 No
Instant hot water heater
Using electricity
[] 1 Yes
[] 2 No
Using other type of energy
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has instant hot water heater (other).
Utilities Variables -- HOUSEHOLD
IPUMS
Refrigerator
Refrigerator
Refrigerator
Refrigerator
Refrigerator
21. Does his household have [the following appliances]?
Refrigerator (with or without freezer)
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a refrigerator.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Freezer
Freezer
Freezer
Freezer
Freezer
21. Does his household have [the following appliances]?
Freezer (by itself)
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a freezer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Color television
Color television
Color television
Color television
Color television
21. Does his household have [the following appliances]?
Color TV
[] 1 Yes
How many? _ _
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a color television.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Number of color televisions
Number of color televisions
Number of color televisions
Number of color televisions
Number of color televisions
21. Does his household have [the following appliances]?
Color TV
[] 1 Yes
How many? _ _
[] 2 No
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
9
9
10
10
11
11
12
12
13
13
20
20
21
21
22
22
31
31
This variable indicates the number of color televisions.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Radio
Radio
Radio
Radio
Radio
21. Does his household have [the following appliances]?
Radio
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a radio.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Cable TV connection
Cable TV connection
Cable TV connection
Cable TV connection
Cable TV connection
21. Does his household have [the following appliances]?
Cable TV
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has cable TV connection.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
VCR
VCR
VCR
VCR
VCR
21. Does his household have [the following appliances]?
Videocassette recorder
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a VCR.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
DVD player
DVD player
DVD player
DVD player
DVD player
21. Does his household have [the following appliances]?
DVD player
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a DVD player.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Washing machine
Washing machine
Washing machine
Washing machine
Washing machine
21. Does his household have [the following appliances]?
Washing machine
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a washing machine.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Dryer
Dryer
Dryer
Dryer
Dryer
21. Does his household have [the following appliances]?
Drying machine
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a dryer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Dishwasher
Dishwasher
Dishwasher
Dishwasher
Dishwasher
21. Does his household have [the following appliances]?
Dishwashing machine
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a dishwasher.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Microwave
Microwave
Microwave
Microwave
Microwave
21. Does his household have [the following appliances]?
Microwave
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a microwave.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Computer/laptop
Computer/laptop
Computer/laptop
Computer/laptop
Computer/laptop
21. Does his household have [the following appliances]?
Computer (including laptop)
[] 1 Yes
How many? _ _
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a computer/laptop.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Number of computers/laptops
Number of computers/laptops
Number of computers/laptops
Number of computers/laptops
Number of computers/laptops
21. Does his household have [the following appliances]?
Computer (including laptop)
[] 1 Yes
How many? _ _
[] 2 No
All households
1
1
2
2
3
3
4
4
5
5
6
6
8
8
10
10
11
11
12
12
21
21
22
22
25
25
This variable indicates the number of computers/laptops.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Internet connection
Internet connection
Internet connection
Internet connection
Internet connection
21. Does his household have [the following appliances]?
Internet access
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has internet connection.
Utilities Variables -- HOUSEHOLD
IPUMS
Land phone
Land phone
Land phone
Land phone
Land phone
21. Does his household have [the following appliances]?
Landline phone
[] 1 Yes
How many lines? _ _
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a land phone.
Utilities Variables -- HOUSEHOLD
IPUMS
Number of phone landlines
Number of phone landlines
Number of phone landlines
Number of phone landlines
Number of phone landlines
21. Does his household have [the following appliances]?
Landline phone
[] 1 Yes
How many lines? _ _
[] 2 No
All households
1
1
2
2
3
3
4
4
5
5
6
6
10
10
11
11
12
12
13
13
21
21
22
22
This variable indicates the number of phone landlines.
Utilities Variables -- HOUSEHOLD
IPUMS
Cell phone
Cell phone
Cell phone
Cell phone
Cell phone
21. Does his household have [the following appliances]?
Cellular phone
[] 1 Yes
How many? _ _
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a cell phone.
Utilities Variables -- HOUSEHOLD
IPUMS
Number of cellphones
Number of cellphones
Number of cellphones
Number of cellphones
Number of cellphones
21. Does his household have [the following appliances]?
Cellular phone
[] 1 Yes
How many? _ _
[] 2 No
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
12
12
14
14
21
21
22
22
32
32
This variable indicates the number of cellphones.
Utilities Variables -- HOUSEHOLD
IPUMS
Car/van
Car/van
Car/van
Car/van
Car/van
21. Does his household have [the following appliances]?
Car or van
[] 1 Yes
How many? _ _
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a car/van.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Number of cars/vans
Number of cars/vans
Number of cars/vans
Number of cars/vans
Number of cars/vans
21. Does his household have [the following appliances]?
Car or van
[] 1 Yes
How many? _ _
[] 2 No
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
10
10
12
12
13
13
22
22
This variable indicates the number of cars/vans.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Motorcycle
Motorcycle
Motorcycle
Motorcycle
Motorcycle
21. Does his household have [the following appliances]?
Motorcycle
[] 1 Yes
How many? _ _
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has a motorcycle.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Number of motorcycles
Number of motorcycles
Number of motorcycles
Number of motorcycles
Number of motorcycles
21. Does his household have [the following appliances]?
Motorcycle
[] 1 Yes
How many? _ _
[] 2 No
All households
1
1
2
2
3
3
4
4
5
5
7
7
12
12
This variable indicates the number of motorcycles.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Domestic worker service
Domestic worker service
Domestic worker service
Domestic worker service
Domestic worker service
22. Does this household have domestic service?
[] 1 Yes
[] 2 No
All households
1
Yes
2
No
This variable indicates whether the household has domestic work service.
Other Household Variables -- HOUSEHOLD
IPUMS
Received money from other person in Uruguay
Received money from other person in Uruguay
Received money from other person in Uruguay
Received money from other person in Uruguay
Received money from other person in Uruguay
H. Household income
To be answered by the household head after finishing the survey with all the household members.
149 Does any member of this household receive money from another known person residing in this country?
[] 1 Yes
[] 2 No
(If answered "Yes") How much did you receive last month? _ _ _ _ _ _
All households
1
Yes
2
No
8
Unknown
This variable indicates whether the any household member received money from other person in Uruguay.
Household Economic Variables -- HOUSEHOLD
IPUMS
Amount received last month from other person in Uruguay (money)
Amount received last month from other person in Uruguay (money)
Amount received last month from other person in Uruguay (money)
Amount received last month from other person in Uruguay (money)
Amount received last month from other person in Uruguay (money)
H. Household income
To be answered by the household head after finishing the survey with all the household members.
149 Does any member of this household receive money from another known person residing in this country?
[] 1 Yes
[] 2 No
(If answered "Yes") How much did you receive last month? _ _ _ _ _ _
Households receiving money from other person in Uruguay
This variable indicates the amount received last month by any household member from other person in Uruguay (money).
This is a 5-digit numeric variable with 0 implied decimal places
Household Economic Variables -- HOUSEHOLD
IPUMS
Received in-kind gift from other person in Uruguay
Received in-kind gift from other person in Uruguay
Received in-kind gift from other person in Uruguay
Received in-kind gift from other person in Uruguay
Received in-kind gift from other person in Uruguay
H. Household income
To be answered by the household head after finishing the survey with all the household members.
150. Does any member of this household receive help in-kind from a relative or other person in this country? (Mutual payments, to pay for school, etc.)
[] 1 Yes
[] 2 No
(If answered "Yes") How much did you estimate you received last month? _ _ _ _ _ _
All households
1
Yes
2
No
8
Unknown
This variable indicates whether the any household member received in-kind gift from other person in Uruguay.
Household Economic Variables -- HOUSEHOLD
IPUMS
Estimated amount received from other person in Uruguay (in-kind)
Estimated amount received from other person in Uruguay (in-kind)
Estimated amount received from other person in Uruguay (in-kind)
Estimated amount received from other person in Uruguay (in-kind)
Estimated amount received from other person in Uruguay (in-kind)
H. Household income
To be answered by the household head after finishing the survey with all the household members.
150. Does any member of this household receive help in-kind from a relative or other person in this country? (Mutual payments, to pay for school, etc.)
[] 1 Yes
[] 2 No
(If answered "Yes") How much did you estimate you received last month? _ _ _ _ _ _
Households receiving in-kind gift from other persons in Uruguay
This variable indicates the estimated amount received by any household member from other person in Uruguay (in-kind).
This is a 5-digit numeric variable with 0 implied decimal places
Household Economic Variables -- HOUSEHOLD
IPUMS
Owns other property
Owns other property
Owns other property
Owns other property
Owns other property
H. Household income
To be answered by the household head after finishing the survey with all the household members.
152. Not considering the dwelling that you are residing in, is any other member of this household a property owner of another dwelling or building?
[] 1 Yes
[] 2 No (go to question 154)
All households
1
Yes
2
No
8
Unknown
This variable indicates whether any household member owns other property.
Household Economic Variables -- HOUSEHOLD
IPUMS
Rents out other property
Rents out other property
Rents out other property
Rents out other property
Rents out other property
H. Household income
To be answered by the household head after finishing the survey with all the household members.
153. Have you rented those in the last 12 months?
[] 1 Yes
[] 2 No
(If answered "Yes") How much did you receive in the last 12 months as rent?
_ _ _ _ _ _ Rent from the country
_ _ _ _ _ _ Rent from abroad
Households owning other property
NIU (not in universe)
1
Yes
2
No
This variable indicates whether other property owned by any household member is rented out.
Household Economic Variables -- HOUSEHOLD
IPUMS
Rent received from Uruguay in past year
Rent received from Uruguay in past year
Rent received from Uruguay in past year
Rent received from Uruguay in past year
Rent received from Uruguay in past year
H. Household income
To be answered by the household head after finishing the survey with all the household members.
153. Have you rented those in the last 12 months?
[] 1 Yes
[] 2 No
(If answered "Yes") How much did you receive in the last 12 months as rent?
_ _ _ _ _ _ Rent from the country
_ _ _ _ _ _ Rent from abroad
Households receiving rent from property
This variable indicates the rent received from Uruguay in past year by any household member.
This is a 7-digit numeric variable with 0 implied decimal places
Household Economic Variables -- HOUSEHOLD
IPUMS
Rent received from abroad in past year
Rent received from abroad in past year
Rent received from abroad in past year
Rent received from abroad in past year
Rent received from abroad in past year
H. Household income
To be answered by the household head after finishing the survey with all the household members.
153. Have you rented those in the last 12 months?
[] 1 Yes
[] 2 No
(If answered "Yes") How much did you receive in the last 12 months as rent?
_ _ _ _ _ _ Rent from the country
_ _ _ _ _ _ Rent from abroad
Households receiving rent from property
2
2
3900
3900
4365
4365
10000
10000
12000
12000
13224
13224
16000
16000
20000
20000
24528
24528
25000
25000
30000
30000
36000
36000
37548
37548
42000
42000
44400
44400
48000
48000
50000
50000
60000
60000
68000
68000
69450
69450
73350
73350
76800
76800
84420
84420
94000
94000
96000
96000
100000
100000
120000
120000
130000
130000
180000
180000
240000
240000
290500
290500
334368
334368
400512
400512
495000
495000
639492
639492
999999
NIU (not in universe)
This variable indicates the rent received from abroad in past year by any household member.
Household Economic Variables -- HOUSEHOLD
IPUMS
Income from interest
Income from interest
Income from interest
Income from interest
Income from interest
H. Household income
To be answered by the household head after finishing the survey with all the household members.
160. Has any member of this household received, in the last 12 months, interest from deposits, bills of change, bonds, loans to third parties, etc.)?
[] 1 Yes
[] 2 No (go to question 162)
All households
1
Yes
2
No
8
Unknown
This variable indicates whether any household member received income from interest last year.
Household Economic Variables -- HOUSEHOLD
IPUMS
Interest income received in last year from Uruguay
Interest income received in last year from Uruguay
Interest income received in last year from Uruguay
Interest income received in last year from Uruguay
Interest income received in last year from Uruguay
H. Household income
To be answered by the household head after finishing the survey with all the household members.
161. How much did you receive as interest in the last 12 months?
_ _ _ _ _ _ Interest from the country
_ _ _ _ _ _ Interest from abroad
All households
This variable indicates the interest income received in last year from Uruguay by any household member.
This is a 7-digit numeric variable with 0 implied decimal places
Household Economic Variables -- HOUSEHOLD
IPUMS
Interest income received in last year from abroad
Interest income received in last year from abroad
Interest income received in last year from abroad
Interest income received in last year from abroad
Interest income received in last year from abroad
H. Household income
To be answered by the household head after finishing the survey with all the household members.
161. How much did you receive as interest in the last 12 months?
_ _ _ _ _ _ Interest from the country
_ _ _ _ _ _ Interest from abroad
All households
1500
1500
1876
1876
2339
2339
4800
4800
5000
5000
9380
9380
11725
11725
11780
11780
15000
15000
20860
20860
20923
20923
23500
23500
24000
24000
25000
25000
28272
28272
46340
46340
50000
50000
60000
60000
69780
69780
92600
92600
92680
92680
93560
93560
141360
141360
144000
144000
163200
163200
168000
168000
235600
235600
278640
278640
300000
300000
348900
348900
504000
504000
540000
540000
930400
930400
1250000
1250000
This variable indicates the interest income received in last year from abroad by any household member.
Household Economic Variables -- HOUSEHOLD
IPUMS
Received remittances
Received remittances
Received remittances
Received remittances
Received remittances
H. Household income
To be answered by the household head after finishing the survey with all the household members.
165. Did any member of this household receive money or any monetary compensation from a relative living abroad in the last twelve months?
[] 1 Yes
[] 2 No
(If answered "Yes") How much? _ _ _ _ _ _
All households
1
Yes
2
No
8
Unknown
This variable indicates whether any household member received remittances in last year.
Household Economic Variables -- HOUSEHOLD
IPUMS
Amount of remittances received
Amount of remittances received
Amount of remittances received
Amount of remittances received
Amount of remittances received
H. Household income
To be answered by the household head after finishing the survey with all the household members.
165. Did any member of this household receive money or any monetary compensation from a relative living abroad in the last twelve months?
[] 1 Yes
[] 2 No
(If answered "Yes") How much? _ _ _ _ _ _
Households receiving remittances
This variable indicates the amount of remittances received by any household member in last year.
This is a 7-digit numeric variable with 0 implied decimal places
Household Economic Variables -- HOUSEHOLD
IPUMS
Household member went abroad
Household member went abroad
Household member went abroad
Household member went abroad
Household member went abroad
MG1. During the last 6 years, did someone that was living with you leave to live in another country and not return Uruguay? (since January 1, 2000)
[] 1 Yes
[] 2 No (go to F1)
Households in fourth trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether a household member went abroad.
Household Economic Variables -- HOUSEHOLD
IPUMS
Number of household members that went abroad
Number of household members that went abroad
Number of household members that went abroad
Number of household members that went abroad
Number of household members that went abroad
MG2. How many people?
[Question MG2 was asked of persons who have someone that was living with them go to live in another country and hasn't returned to Uruguay during the last 6 years, as per question MG1.]
(Tell me the first name of these people: record the names in the heading corresponding to each one of these people)
_ _
Emigrant No.: _ _
Name: ____________
Households in fourth trimester with one member who migrated
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
8
8
10
10
13
13
21
21
This variable indicates the number of household members that went abroad.
Household Economic Variables -- HOUSEHOLD
IPUMS
Sampling weight (month)
Sampling weight (month)
Sampling weight (month)
Sampling weight (month)
Sampling weight (month)
Sampling weight (month)
All households
This variable indicates the sampling weight (month).
This is a 3-digit numeric variable with 0 implied decimal places
Other Household Variables -- HOUSEHOLD
IPUMS
Sampling weight (trimester)
Sampling weight (trimester)
Sampling weight (trimester)
Sampling weight (trimester)
Sampling weight (trimester)
Sampling weight (trimester)
All households
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
41
41
42
42
43
43
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
74
74
75
75
76
76
88
88
89
89
91
91
92
92
99
99
100
100
102
102
103
103
104
104
105
105
106
106
134
134
135
135
145
145
146
146
155
155
156
156
180
180
181
181
182
182
183
183
This variable indicates the sampling weight (trimester).
Other Household Variables -- HOUSEHOLD
IPUMS
Sampling weight (semester)
Sampling weight (semester)
Sampling weight (semester)
Sampling weight (semester)
Sampling weight (semester)
Sampling weight (semester)
All households
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
37
37
38
38
44
44
45
45
48
48
49
49
50
50
52
52
53
53
69
69
70
70
71
71
72
72
90
90
91
91
This variable indicates the sampling weight (semester).
Other Household Variables -- HOUSEHOLD
IPUMS
Sampling weight (year)
Sampling weight (year)
Sampling weight (year)
Sampling weight (year)
Sampling weight (year)
Sampling weight (year)
All households
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
23
23
24
24
25
25
26
26
27
27
35
35
36
36
45
45
46
46
This variable indicates the sampling weight (year).
Other Household Variables -- HOUSEHOLD
IPUMS
Urban
Urban
Urban
Urban
Urban
Urban
All households
1
Urban
2
Rural
This variable indicates whether the household is in an urban or rural area.
Other Household Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
HHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Household Variables -- HOUSEHOLD
IPUMS
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
Uruguay, Department 1963 - 2011 [Level 1; consistent boundaries, GIS]
858001
Montevideo
858002
Artigas
858003
Canelones
858004
Cerro Largo
858005
Colonia
858006
Durazno
858007
Flores
858008
Florida
858009
Lavalleja
858010
Maldonado
858011
PaysandĂş
858012
RĂo Negro
858013
Rivera
858014
Rocha
858015
Salto
858016
San Jose
858017
Soriano
858018
TacuarembĂł
858019
Treinta Y Tres
GEO1_UY identifies the household's department within Uruguay in all sample years. Departments are the first level administrative units of the country. GEO1_UY is spatially harmonized to account for political boundary changes across census years. A GIS map (in shapefile format), corresponding to GEO1_UY can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Uruguay 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 Uruguay. 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
Number of bathrooms
Number of bathrooms
Number of bathrooms
Number of bathrooms
Number of bathrooms
No bathrooms (or half bathroom)
1
1 bathroom
2
2 bathrooms
3
3 bathrooms
4
4 bathrooms
5
5 bathrooms
6
6 bathrooms
7
7 bathrooms
8
8 bathrooms
9
9 bathrooms
10
10 bathrooms
98
Unknown
99
NIU (not in universe)
BATHROOMS indicates the number of bathrooms in the dwelling available for use by the household.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Year structure was built
Year structure was built
Year structure was built
Year structure was built
Year structure was built
NIU (not in universe)
1870
1870 or earlier
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
9998
Under construction
9999
Unknown
BUILTYR indicates the year in which construction was completed on the building in which the household resides.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Age of structure, coded from intervals
Age of structure, coded from intervals
Age of structure, coded from intervals
Age of structure, coded from intervals
Age of structure, coded from intervals
Less than 1 year old
1
1 year
2
2 years
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
100
100
101
101
102
102
103
103
104
104
105
105
106
106
107
107
108
108
109
109
110
110
111
111
112
112
113
113
114
114
115
115
116
116
117
117
118
118
119
119
120
120
121
121
122
122
123
123
124
124
125
125
126
126
127
127
128
128
129
129
130
130
131
131
132
132
133
133
134
134
135
135
136
136
137
137
138
138
139
139
140
140
141
141
142
142
143
143
144
144
145
145
146
146
147
147
148
148
149
149
150
150
151
151
152
152
153
153
154
154
155
155
156
156
157
157
158
158
159
159
160
160
161
161
162
162
163
163
164
164
165
165
166
166
167
167
168
168
169
169
170
170
171
171
172
172
173
173
174
174
175
175
176
176
177
177
178
178
179
179
180
180
181
181
182
182
183
183
184
184
185
185
186
186
187
187
188
188
189
189
190
190
191
191
192
192
193
193
194
194
195
195
196
196
197
197
198
198
199
199
200
200+
998
Unknown
999
NIU (not in universe)
AGESTRUCT2 gives the estimated age of the structure.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
NIU (not in universe)
1
Owned
2
Not owned
9
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
NIU (not in universe)
100
Owned
110
Owned, already paid
120
Owned, still paying
130
Owned, constructed
140
Owned, inherited
190
Owned, other
191
Owned, house
192
Owned, condominium
193
Apartment proprietor
194
Shared ownership
200
Not owned
210
Renting, not specified
211
Renting, government
212
Renting, local authority
213
Renting, parastatal
214
Renting, private
215
Renting, private company
216
Renting, individual
217
Renting, collective
218
Renting, joint state and individual
219
Renting, public subsidized
220
Renting, private subsidized
221
Renting, co-tenant
222
Renting, relative of tenant
223
Renting, cooperative
224
Renting, with a job or business
225
Renting, loan-backed habitation
226
Renting, mixed contract
227
Furnished dwelling
228
Sharecropping
230
Subletting
231
Rent to own
239
Renting, other
240
Occupied de facto/squatting
250
Free/usufruct (no cash rent)
251
Free, provided by employer
252
Free, without work or services
253
Free, provided by family or friend
254
Free, private
255
Free, public
256
Free, condemned
257
Free, other
290
Not owned, other
999
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
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
Fuel for heating
Fuel for heating
Fuel for heating
Fuel for heating
Fuel for heating
NIU (not in universe)
1
None
2
Electricity
3
Fuel oil, kerosene, other liquid fuels
4
Kerosene/paraffin
5
Diesel
6
Gas
7
Bottled gas, in tank, liquified
8
Solid fuel
9
Coal
10
Wood
11
Wood or coal
12
Solar
13
Animal dung
14
Charcoal
15
Other
16
Multiple sources
99
Unknown
FUELHEAT indicates the main fuel source for heating the household.
Utilities Variables -- HOUSEHOLD
IPUMS
Internet access
Internet access
Internet access
Internet access
Internet access
NIU (not in universe)
1
No
2
Yes
9
Unknown
INTERNET indicates whether or not the household had an internet connection.
Utilities Variables -- HOUSEHOLD
IPUMS
Hot water heater
Hot water heater
Hot water heater
Hot water heater
Hot water heater
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
HOTWATER indicates whether the housing unit had a water heater.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Computer
Computer
Computer
Computer
Computer
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
COMPUTER indicates whether the household had a personal computer.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Strata identifier
Strata identifier
Strata identifier
Strata identifier
Strata identifier
This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.
STRATA is a 12-digit numeric variable.
Technical Household Variables -- HOUSEHOLD
IPUMS
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
PERNUM is a 3-digit numeric variable.
Technical Person Variables -- PERSON
IPUMS
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships.
MOMLOC is a 3-digit numeric variable.
0 = No mother of this person present in the household.
1 or higher = The person number of this person's mother
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Father's location in household
Father's location in household
Father's location in household
Father's location in household
Father's location in household
POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships.
POPLOC is a 3-digit numeric variable.
0 = No father of this person present in the household.
1 or higher = The person number of this person's father
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly.
SPLOC is a 3-digit numeric variable.
0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouse
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
No parent of person in household
11
Link to head or spouse, unambiguous
12
Link to head or spouse, ambiguous
21
Child-Grandchild, within empirical child cap
22
Child-Grandchild, within constructed child cap
23
Child-Grandchild, exceeds child cap
31
Specified Other Relatives, within empirical child cap
32
Specified Other Relatives, within constructed child cap
33
Specified Other Relatives, exceeds child cap
41
Other Relatives, within empirical child cap
42
Other Relatives, within constructed child cap
51
Non-Relatives, within empirical child cap
52
Non-Relatives, within constructed child cap
PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father.
IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
No spouse present
1
Rule 1: strong relationship pairing, couple adjacent
2
Rule 2: strong relationship pairing, couple not adjacent
3
Rule 3: weak relationship pairing, couple adjacent
4
Rule 4: weak relationship pairing, couple not adjacent
5
Rule 5: weak consensual union pairings
6
Rule 6: sample-specific rules (usually child-to-child)
SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse.
IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Biological mother or no mother present
1
Mother has no children borne or surviving
2
Child reports mother is deceased
3
Explicitly identified step relationship
4
Mother reports no children in the home
5
Age difference implausible
6
Child exceeds known fertility of mother
STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
The codes for STEPMOM are as follows:
0 = Biological mother or no mother of this person present in household.
1 = Mother has no children borne or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
See PARRULE for a description of the linking process.
Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Biological father or no father present
1
Child reports father is deceased
2
Explicitly identified step relationship
3
Age difference implausible
STEPPOP indicates whether a person's father, as identified by POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household.
The codes for STEPPOP are as follows:
0 = Biological father or no father of this person present in household.
1 = Child reports father is deceased.
2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law).
3 = Age difference between father and child was less than 12 or greater than 54 years.
See PARRULE for a description of the linking process.
Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Family unit membership
Family unit membership
Family unit membership
Family unit membership
Family unit membership
FAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
FAMUNIT is a 2-digit numeric variable.
If there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
1
1 family member present
2
2 family members present
3
3 family members present
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99 or more persons
FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.
FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more children in household
NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more own children under age 5 in household
NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
ELDCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
YNGCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
1
Head
2
Spouse/partner
3
Child
4
Other relative
5
Non-relative
6
Other relative or non-relative
9
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
1000
Head
2000
Spouse/partner
2100
Spouse
2200
Unmarried partner
2300
Same-sex spouse/partner
3000
Child
3100
Biological child
3200
Adopted child
3300
Stepchild
3400
Child/child-in-law
3500
Child/child-in-law/grandchild
3600
Child of unmarried partner
4000
Other relative
4100
Grandchild
4110
Grandchild or great grandchild
4120
Great grandchild
4130
Great-great grandchild
4200
Parent/parent-in-law
4210
Parent
4211
Stepparent
4220
Parent-in-law
4300
Child-in-law
4301
Daughter-in-law
4302
Spouse/partner of child
4310
Unmarried partner of child
4400
Sibling/sibling-in-law
4410
Sibling
4420
Stepsibling
4430
Sibling-in-law
4431
Sibling of spouse/partner
4432
Spouse/partner of sibling
4500
Grandparent
4510
Great grandparent
4600
Parent/grandparent/ascendant
4700
Aunt/uncle
4800
Other specified relative
4810
Nephew/niece
4820
Cousin
4830
Sibling of sibling-in-law
4900
Other relative, not elsewhere classified
4910
Other relative with same family name
4920
Other relative with different family name
4930
Other relative, not specified (secondary family)
5000
Non-relative
5100
Friend/guest/visitor/partner
5110
Partner/friend
5111
Friend
5112
Partner/roommate
5113
Housemate/roommate
5120
Visitor
5130
Ex-spouse
5140
Godparent
5150
Godchild
5200
Employee
5210
Domestic employee
5220
Relative of employee, n.s.
5221
Spouse of servant
5222
Child of servant
5223
Other relative of servant
5300
Roomer/boarder/lodger/foster child
5310
Boarder
5311
Boarder or guest
5320
Lodger
5330
Foster child
5340
Tutored/foster child
5350
Tutored child
5400
Employee, boarder or guest
5500
Other specified non-relative
5510
Agregado
5520
Temporary resident, guest
5600
Group quarters
5610
Group quarters, non-inmates
5620
Institutional inmates
5900
Non-relative, n.e.c.
6000
Other relative or non-relative
9999
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
Less than 1 year
1
1 year
2
2 years
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
100
100+
999
Not reported/missing
AGE gives age in years as of the person's last birthday prior to or on the day of enumeration.
Demographic Variables -- PERSON
IPUMS
Age, grouped into intervals
Age, grouped into intervals
Age, grouped into intervals
Age, grouped into intervals
Age, grouped into intervals
1
0 to 4
2
5 to 9
3
10 to 14
4
15 to 19
5
15 to 17
6
18 to 19
7
18 to 24
8
20 to 24
9
25 to 29
10
30 to 34
11
35 to 39
12
40 to 44
13
45 to 49
14
50 to 54
15
55 to 59
16
60 to 64
17
65 to 69
18
70 to 74
19
75 to 79
20
80+
98
Unknown
AGE2 gives computed years of age grouped into intervals.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
1
Male
2
Female
9
Unknown
SEX reports the sex (gender) of the respondent.
Demographic Variables -- PERSON
IPUMS
Marital status [general version]
Marital status [general version]
Marital status [general version]
Marital status [general version]
Marital status [general version]
NIU (not in universe)
1
Single/never married
2
Married/in union
3
Separated/divorced/spouse absent
4
Widowed
9
Unknown/missing
[program universe for et,mz samples.
MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.
Demographic Variables -- PERSON
IPUMS
Marital status [detailed version]
Marital status [detailed version]
Marital status [detailed version]
Marital status [detailed version]
Marital status [detailed version]
NIU (not in universe)
100
Single/never married
110
Engaged
111
Never married and never cohabited
200
Married or consensual union
210
Married, formally
211
Married, civil
212
Married, religious
213
Married, civil and religious
214
Married, civil or religious
215
Married, traditional/customary
216
Married, monogamous
217
Married, polygamous
220
Consensual union
300
Separated/divorced/spouse absent
310
Separated or divorced
320
Separated or annulled
330
Separated
331
Separated legally
332
Separated de facto
333
Separated from marriage
334
Separated from consensual union
335
Separated from consensual union or marriage
340
Annulled
350
Divorced
360
Married, spouse absent
400
Widowed
410
Widowed or divorced
411
Widowed from consensual union or marriage
412
Widowed from marriage
413
Widowed from consensual union
420
Widowed, divorced, or separated
999
Unknown/missing
[program universe for et,mz samples.
MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.
Demographic Variables -- PERSON
IPUMS
Department of previous residence, Uruguay
Department of previous residence, Uruguay
Department of previous residence, Uruguay
Department of previous residence, Uruguay
Department of previous residence, Uruguay
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
97
Abroad
98
Unknown
99
NIU (not in universe)
MIGUY1 indicates the person's previous department of residence within Uruguay.
Migration Variables -- PERSON
IPUMS
Department of residence 5 years ago, Uruguay
Department of residence 5 years ago, Uruguay
Department of residence 5 years ago, Uruguay
Department of residence 5 years ago, Uruguay
Department of residence 5 years ago, Uruguay
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
97
Abroad
98
Unknown
99
NIU (not in universe)
MIGUY2 indicates the person's department of residence within Uruguay five years prior to the census.
Migration 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
Race or color
Race or color
Race or color
Race or color
Race or color
10
White
20
Black
21
Black African
22
Black Caribbean
23
Afro-Ecuadorian
24
Other Black
30
Indigenous
31
American Indian
40
Asian
41
Chinese
42
Japanese
43
Korean
44
Vietnamese
45
Filipino
46
Indian
47
Pakistani
48
Bangladeshi
49
Other Asian
50
Mixed race
51
Brown (Brazil)
52
Mestizo (Indigenous and White)
53
Mulatto (Black and White)
54
Coloured (South Africa)
55
Two or more races
60
Other
61
Montubio (Ecuador)
99
Unknown
Race identifies the racial group with which a person identified himself or herself, or to which an enumerator assigned them. Determinations of race are based largely on appearance or ancestral place of origin.
Ethnicity and Language Variables -- PERSON
IPUMS
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
Sector of employment
Sector of employment
Sector of employment
Sector of employment
Sector of employment
NIU (not in universe)
10
Public
20
Private
21
Private, not elsewhere classified
22
Individual/family enterprise, and self-employed
23
Foreign
30
Mixed: public-private or parastatal
40
Collective or cooperative
50
Foreign government or non-governmental organization
60
Other, unspecified
61
Canal zone
62
Faith-based organization
99
Unknown
EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked.
Work Variables -- PERSON
IPUMS
Days worked last week
Days worked last week
Days worked last week
Days worked last week
Days worked last week
Did not work
1
1 day
2
2 days
3
3 days
4
4 days
5
5 days
6
6 days
7
7 days
8
Unknown
9
NIU (not in universe)
DAYSWRK indicates the number of days worked by the person during the week preceding the enumeration.
Work Variables -- PERSON
IPUMS
Hours worked in main occupation
Hours worked in main occupation
Hours worked in main occupation
Hours worked in main occupation
Hours worked in main occupation
0 hours
1
1 hour
2
2 hours
3
3 hours
4
4 hours
5
5 hours
6
6 hours
7
7 hours
8
8 hours
9
9 hours
10
10 hours
11
11 hours
12
12 hours
13
13 hours
14
14 hours
15
15 hours
16
16 hours
17
17 hours
18
18 hours
19
19 hours
20
20 hours
21
21 hours
22
22 hours
23
23 hours
24
24 hours
25
25 hours
26
26 hours
27
27 hours
28
28 hours
29
29 hours
30
30 hours
31
31 hours
32
32 hours
33
33 hours
34
34 hours
35
35 hours
36
36 hours
37
37 hours
38
38 hours
39
39 hours
40
40 hours
41
41 hours
42
42 hours
43
43 hours
44
44 hours
45
45 hours
46
46 hours
47
47 hours
48
48 hours
49
49 hours
50
50 hours
51
51 hours
52
52 hours
53
53 hours
54
54 hours
55
55 hours
56
56 hours
57
57 hours
58
58 hours
59
59 hours
60
60 hours
61
61 hours
62
62 hours
63
63 hours
64
64 hours
65
65 hours
66
66 hours
67
67 hours
68
68 hours
69
69 hours
70
70 hours
71
71 hours
72
72 hours
73
73 hours
74
74 hours
75
75 hours
76
76 hours
77
77 hours
78
78 hours
79
79 hours
80
80 hours
81
81 hours
82
82 hours
83
83 hours
84
84 hours
85
85 hours
86
86 hours
87
87 hours
88
88 hours
89
89 hours
90
90 hours
91
91 hours
92
92 hours
93
93 hours
94
94 hours
95
95 hours
96
96 hours
97
97 hours
98
98 hours
99
99 hours
100
100 hours
101
101 hours
102
102 hours
103
103 hours
104
104 hours
105
105 hours
106
106 hours
107
107 hours
108
108 hours
109
109 hours
110
110 hours
111
111 hours
112
112 hours
113
113 hours
114
114 hours
115
115 hours
116
116 hours
117
117 hours
118
118 hours
119
119 hours
120
120 hours
121
121 hours
122
122 hours
123
123 hours
124
124 hours
125
125 hours
126
126 hours
127
127 hours
128
128 hours
129
129 hours
130
130 hours
131
131 hours
132
132 hours
133
133 hours
134
134 hours
135
135 hours
136
136 hours
137
137 hours
138
138 hours
139
139 hours
140
140+ hours
998
Unknown
999
NIU (not in universe)
HRSMAIN indicates the number of hours the respondent worked per week in jobs related to their primary occupation.
Work Variables -- PERSON
IPUMS
Means of transportation to work or school
Means of transportation to work or school
Means of transportation to work or school
Means of transportation to work or school
Means of transportation to work or school
NIU (not in universe)
10
None, does not travel to work or school
20
Walking
21
Walks or bicycle
22
Walks, bicycle, or motorcycle
30
Private vehicle
31
Auto, truck, or van
32
Auto (driver)
33
Auto (passenger)
34
Auto, motorcycle, moped
35
Motorcycle or moped
36
Bicycle
37
Bicycle or motorcycle
38
Bicycle or moped
40
Public transportation
41
Bus or trolley bus
42
Bus or streetcar
43
Streetcar or trolley car
44
Railroad or train
45
Subway or elevated train
46
Other public transportation
50
Other
51
Taxicab
52
Ferryboat
53
Special transportation (company coach, school bus, etc.)
54
Hired transport
55
Shared private transport
56
Horse
57
Other, not elsewhere classified
60
Combination of several means
99
Unknown/missing
TRNWRK identifies the primary or usual means of transportation the person took either to work or school.
In censuses in which a person could report multiple modes of transportation, TRNWRK reports only the first method reported.
Work Variables -- PERSON
IPUMS
Size of work establishment
Size of work establishment
Size of work establishment
Size of work establishment
Size of work establishment
None
1
1 employee
2
1 to 5
3
1 to 9
4
2 to 4
5
2 to 9
6
5
7
5 to 9
8
6 to 9
9
6 to 10
10
6 to 39
11
10 to 19
12
10 to 24
13
10 to 49
14
10 to 99
15
11 to 20
16
21 to 100
17
25 to 499
18
100 to 449
20
6 or more
21
10 or more
24
50 or more
25
100 or more
26
500 or more
98
Unknown
99
NIU (not in universe)
ESTABSZ reports the number of people employed in the respondent's work establishment.
Work Variables -- PERSON
IPUMS
Department of birth, Uruguay
Department of birth, Uruguay
Department of birth, Uruguay
Department of birth, Uruguay
Department of birth, Uruguay
NIU (not in universe)
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta y Tres
98
Abroad
99
Unknown
BPLUY indicates the person's department of birth within Uruguay.
Nativity and Birthplace 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
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
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
Disability affecting lower extremities
Disability affecting lower extremities
Disability affecting lower extremities
Disability affecting lower extremities
Disability affecting lower extremities
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISLOWR indicates whether the person lacked use of one or both legs.
Disability Variables -- PERSON
IPUMS
Disability affecting upper extremities
Disability affecting upper extremities
Disability affecting upper extremities
Disability affecting upper extremities
Disability affecting upper extremities
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISUPPR indicates whether the person lacked full use of at least one arm or hand.
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
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
Number of marriages or unions
Number of marriages or unions
Number of marriages or unions
Number of marriages or unions
Number of marriages or unions
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8+
9
Unknown
MARRNUM records the number of marital unions the respondent has ever been in.
Demographic Variables -- PERSON
IPUMS
School attendance
School attendance
School attendance
School attendance
School attendance
NIU (not in universe)
1
Yes
2
No, not specified
3
No, attended in the past
4
No, never attended
9
Unknown/missing
SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
Education Variables -- PERSON
IPUMS
Literacy
Literacy
Literacy
Literacy
Literacy
NIU (not in universe)
1
No, illiterate
2
Yes, literate
9
Unknown/missing
LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.
Education Variables -- PERSON
IPUMS
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
NIU (not in universe)
1
Employed
2
Unemployed
3
Inactive
9
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
NIU (not in universe)
100
Employed, not specified
110
At work
111
At work, and 'student'
112
At work, and 'housework'
113
At work, and 'seeking work'
114
At work, and 'retired'
115
At work, and 'no work'
116
At work, and other situation
117
At work, family holding, not specified
118
At work, family holding, not agricultural
119
At work, family holding, agricultural
120
Have job, not at work in reference period
130
Armed forces
131
Armed forces, at work
132
Armed forces, not at work in reference period
133
Military trainee
140
Marginally employed
200
Unemployed, not specified
201
Unemployed 6 or more months
202
Worked fewer than 6 months, permanent job
203
Worked fewer than 6 months, temporary job
210
Unemployed, experienced worker
220
Unemployed, new worker
230
No work available
240
Inactive unemployed
300
Inactive (not in labor force)
310
Housework
320
Unable to work/disabled
321
Permanent disability
322
Temporary illness
323
Disabled or imprisoned
330
In school
340
Retirees and living on rent
341
Living on rents
342
Living on rents or pension
343
Retirees/pensioners
344
Retired
345
Pensioner
346
Non-retirement pension
347
Disability pension
348
Retired without benefits
350
Elderly
351
Elderly or disabled
360
Institutionalized
361
Prisoner
370
Intermittent worker
371
Not working, seasonal worker
372
Not working, occasional worker
380
Other income recipient
390
Inactive, other reasons
391
Too young to work
392
Dependent
999
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
Period seeking work
Period seeking work
Period seeking work
Period seeking work
Period seeking work
NIU (not in universe)
10
Seeking work less than one year
11
Seeking work less than 1 month
12
Seeking work less than 3 months
13
Seeking work 1 to 3 months
14
Seeking work 1 to 6 months
15
Seeking work 3 to 12 months
16
Seeking work 3 to 6 months
17
Seeking work 6 to 12 months
20
Seeking work more than 1 year
21
Seeking work 1 to 2 years
22
Seeking work more than 2 years
90
Seeking work, unspecified period
99
Unknown
LOOKJOB indicates the continuous period of time that an unemployed person has been seeking work.
Work Variables -- PERSON
IPUMS
Wage and salary income
Wage and salary income
Wage and salary income
Wage and salary income
Wage and salary income
INCWAGE reports the respondent's weekly, monthly or annual wage and salary income.
INCWAGE is a 7-digit numeric variable.
9999998 = Unknown/missing.
9999999 = NIU (not in universe).
Israel 1983: 74,716+
Israel 1995: 20,000+
Canada 1971: 50,000+ females in Atlantic region; 75,000+ for others
Canada 1981: 75,000+ all females, males in Atlantic region; 100,000+ males other regions
Canada 1991-2001: 200,000+
Dominican Republic 1981: 2000+
Germany 1970: 2,500+
Indonesia 1995: 9,999,997+
Jamaica 1982: 100,000+
Jamaica 1991: 100,000+
Jamaica 2001: 3,000,000+
Panama 1970: 800+
Panama 2000: 9,997+
Panama 2010: 10,000+
Puerto Rico 1970-1980: 50,000+
Puerto Rico 1990: 140,000+
Puerto Rico 2000: 175,000+
Puerto Rico 2005: 999,999+
Puerto Rico 2010: 173,000+
U.S.A. 1960: 25,000+
U.S.A. 1970: 50,000+
U.S.A. 1980: 75,000+
U.S.A. 1990: State median of values over 140,000
U.S.A. 2000: State median of values over 175,000
U.S.A. 2005: 99.5th percentile within each state (Higher values are the state means of all cases above these cutoffs.)
U.S.A. 2010: 99.5th percentile within each state (Higher values are the state means of all cases above these cutoffs.)
Income Variables -- PERSON
IPUMS
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
1
Legislators, senior officials and managers
2
Professionals
3
Technicians and associate professionals
4
Clerks
5
Service workers and shop and market sales
6
Skilled agricultural and fishery workers
7
Crafts and related trades workers
8
Plant and machine operators and assemblers
9
Elementary occupations
10
Armed forces
11
Other occupations, unspecified or n.e.c.
97
Response suppressed
98
Unknown
99
NIU (not in universe)
OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.
Work Variables -- PERSON
IPUMS
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.
OCC is a 4-digit numeric variable.
Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Please see the codes for: UY2006A_0946
Work Variables -- PERSON
IPUMS
Industry, general recode
Industry, general recode
Industry, general recode
Industry, general recode
Industry, general recode
NIU (not in universe)
10
Agriculture, fishing, and forestry
20
Mining
30
Manufacturing
40
Electricity, gas and water
50
Construction
60
Wholesale and retail trade
70
Hotels and restaurants
80
Transportation and communications
90
Financial services and insurance
100
Public administration and defense
110
Services, not specified
111
Real estate and business services
112
Education
113
Health and social work
114
Other services
120
Private household services
130
Other industry, n.e.c.
998
Response suppressed
999
Unknown
INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.
"Industry" refers to the activity or product of the establishment or sector in which a person worked.
Work Variables -- PERSON
IPUMS
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.
IND is a 5-digit numeric variable.
Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Please see the codes for: UY2006A_0947
Work Variables -- PERSON
IPUMS
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
10
Armed forces
111
Legislators
112
Senior government officials
113
Traditional chiefs and heads of villages
114
Senior officials of special-interest organizations
121
Directors and chief executives
122
Production and operations department managers
123
Other department managers
131
General managers
199
Legislators, senior officials and managers not elsewhere classified
211
Physicists, chemists and related professionals
212
Mathematicians, statisticians and related professionals
213
Computing professionals
214
Architects, engineers and related professionals
221
Life science professionals
222
Health professionals (except nursing)
223
Nursing and midwifery professionals
231
College, university and higher education teaching professionals
232
Secondary education teaching professionals
233
Primary and pre-primary education teaching professionals
234
Special education teaching professionals
235
Other teaching professionals
241
Business professionals
242
Legal professionals
243
Archivists, librarians and related information professionals
244
Social science and related professionals
245
Writers and creative or performing artists
246
Religious professionals
299
Professionals no elsewhere classified
311
Physical and engineering science technicians
312
Computer associate professionals
313
Optical and electronic equipment operators
314
Ship and aircraft controllers and technicians
315
Safety and quality inspectors
321
Life science technicians and related associate professionals
322
Modern health associate professionals (except nursing)
323
Nursing and midwifery associate professionals
324
Traditional medicine practitioners and faith healers
331
Primary education teaching associate professionals
332
Pre-primary education teaching associate professionals
333
Special education teaching associate professionals
334
Other teaching associate professionals
341
Finance and sales associate professionals
342
Business services agents and trade brokers
343
Administrative associate professionals
344
Customs, tax and related government associate professionals
345
Police inspectors and detectives
346
Social work associate professionals
347
Artistic, entertainment and sports associate professionals
348
Religious associate professionals
399
Technicians and assoicate professionals not elsewhere classified
411
Secretaries and keyboard-operating clerks
412
Numerical clerks
413
Material-recording and transport clerks
414
Library, mail and related clerks
419
Other office clerks
421
Cashiers, tellers and related clerks
422
Client information clerks
499
Clerks not elsewhere classified
511
Travel attendants and related workers
512
Housekeeping and restaurant services workers
513
Personal care and related workers
514
Other personal services workers
515
Astrologers, fortune-tellers and related workers
516
Protective services workers
521
Fashion and other models
522
Shop salespersons and demonstrators
523
Stall and market salespersons
599
Service workers and shop and market sales workers not elsewhere classified
611
Market gardeners and crop growers
612
Market-oriented animal producers and related workers
613
Market-oriented crop and animal producers
614
Forestry and related workers
615
Fishery workers, hunters and trappers
621
Subsistence agricultural and fishery workers
699
Skilled agricultural and fishery workers not elsewhere classified
711
Miners, shotfirers, stone cutters and carvers
712
Building frame and related trades workers
713
Building finishers and related trades workers
714
Painters, building structure cleaners and related trades workers
721
Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers
722
Blacksmiths, tool-makers and related trades workers
723
Machinery mechanics and fitters
724
Electrical and electronic equipment mechanics and fitters
731
Precision workers in metal and related materials
732
Potters, glass-makers and related trades workers
733
Handicraft workers in wood, textile, leather and related materials
734
Printing and related trades workers
741
Food processing and related trades workers
742
Wood treaters, cabinet-makers and related trades workers
743
Textile, garment and related trades workers
744
Pelt, leather and shoemaking trades workers
799
Craft and related trade workers not elsewhere classified
811
Mining- and mineral-processing-plant operators
812
Metal-processing-plant operators
813
Glass, ceramics and related plant operators
814
Wood-processing- and papermaking-plant operators
815
Chemical-processing-plant operators
816
Power-production and related plant operators
817
Automated-assembly-line and industrial-robot operators
821
Metal- and mineral-products machine operators
822
Chemical-products machine operators
823
Rubber- and plastic-products machine operators
824
Wood-products machine operators
825
Printing-, binding- and paper-products machine operators
826
Textile-, fur- and leather-products machine operators
827
Food and related products machine operators
828
Assemblers
829
Other machine operators and assemblers
831
Locomotive-engine drivers and related workers
832
Motor-vehicle drivers
833
Agricultural and other mobile-plant operators
834
Ships' deck crews and related workers
899
Other
911
Street vendors and related workers
912
Shoe cleaning and other street services elementary occupations
913
Domestic and related helpers, cleaners and launderers
914
Building caretakers, window and related cleaners
915
Messengers, porters, doorkeepers and related workers
916
Garbage collectors and related labourers
921
Agricultural, fishery and related labourers
931
Mining and construction labourers
932
Manufacturing labourers
933
Transport labourers and freight handlers
989
Elementary occupations not elsewhere classified
990
Other workers, not elsewhere classified
998
Unknown
999
NIU (not in universe)
ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification.
Work Variables -- PERSON
IPUMS
Educational attainment, Uruguay
Educational attainment, Uruguay
Educational attainment, Uruguay
Educational attainment, Uruguay
Educational attainment, Uruguay
NIU (not in universe)
100
None
200
Preschool
210
Preschool, less than 1 year
211
Preschool, year 1
212
Preschool, year 2
213
Preschool, year 3
214
Preschool, year unknown
215
Preschool, year unknown
300
Primary education
301
Primary education, less than 1 year
302
Primary education, grade 1
303
Primary education, grade 2
304
Primary education, grade 3
305
Primary education, grade 4
306
Primary education, grade 5
307
Primary education, grade 6
308
Primary education, grade unknown
400
Secondary education, first cycle
401
Secondary education, first cycle, less than 1 year
402
Secondary education, first cycle, grade 1
403
Secondary education, first cycle, grade 2
404
Secondary education, first cycle, grade 3
405
Secondary education, first cycle, grade 4
406
Secondary education, first cycle, grade unknown
410
Secondary education, second cycle
411
Secondary education, second cycle, less than 1 year
412
Secondary education, second cycle, grade 1
413
Secondary education, second cycle, grade 2
414
Secondary education, second cycle, grade 3
415
Secondary education, second cycle, grade unknown
500
Teacher school
501
Teacher school, less than 1 year
502
Teacher school, year 1
503
Teacher school, year 2
504
Teacher school, year 3
505
Teacher school, year 4
506
Teacher school, year 5
507
Teacher school, year 6
508
Teacher school, year 7
509
Teacher school, year 8
510
Teacher school, year unknown
511
Teacher school, completed
520
Agrarian
521
Agrarian, less than 1 year
522
Agrarian, year 1
523
Agrarian, year 2
524
Agrarian, year 3
525
Agrarian, year 4
526
Agrarian, year 5
527
Agrarian, year 6
528
Agrarian, year 7
529
Agrarian, year 8
530
Agrarian, year unknown
540
Industrial
541
Industrial, less than 1 year
542
Industrial, year 1
543
Industrial, year 2
544
Industrial, year 3
545
Industrial, year 4
546
Industrial, year 5
547
Industrial, year 6
548
Industrial, year 7
549
Industrial, year 8
550
Industrial, year unknown
560
Technical
561
Less than 1 year
562
Technical, year 1
563
Technical, year 2
564
Technical, year 3
565
Technical, year 4
566
Technical, year 5
567
Technical, year 6
580
Military/police
581
Military/police, less than 1 year
582
Military/police, year 1
583
Military/police, year 2
584
Military/police, year 3
585
Military/police, year 4
586
Military/police, year 5
587
Military/police, year 6
588
Military/police, year 7
589
Military/police, year 8
590
Military/police, year unknown
591
Military/police, completed
600
Post-secondary non-university
601
Less than 1 year
602
Post-secondary non-university, year 1
603
Post-secondary non-university, year 2
604
Post-secondary non-university, year 3
605
Post-secondary non-university, year 4
606
Post-secondary non-university, year 5
607
Post-secondary non-university, year 6
608
Post-secondary non-university, year 7
609
Post-secondary non-university, year 8
610
Year unknown
620
University of Work (UTU)
621
University of work, less than 1 year
622
University of work, year 1
623
University of work, year 2
624
University of work, year 3
625
University of work, year 4
626
University of work, year 5
627
University of work, year 6
628
University of work, year 7
629
University of work, year 8
630
University of work, year unknown
631
University of work, completed
640
Post-secondary not specified
700
University
701
University, less than 1 year
702
University, year 1
703
University, year 2
704
University, year 3
705
University, year 4
706
University, year 5
707
University, year 6
708
University, year 7
709
University, year 8+
710
University, year unknown
711
University, completed
800
Graduate school (master or Phd)
801
Less than 1 year
802
Graduate school (master or phd), year 1
803
Graduate school (master or phd), year 2
804
Graduate school (master or phd), year 3
805
Graduate school (master or phd), year 4
806
Graduate school (master or phd), year 5+
807
Graduate school (master or phd), year unknown
900
Other
901
Other, less than 1 year
902
Other, year 1
903
Other, year 2
904
Other, year 3
905
Other, year 4
906
Other, year 5
907
Other, year 6
908
Other, year 7
909
Other, year unknown
910
Other, completed
998
Unknown
EDUCUY indicates the person's educational attainment in terms of the level of schooling completed.
Education 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
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
No more than one wife linked via SPLOC
1
More than one wife linked via SPLOC
POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.
The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Person is not the 2nd or higher order wife linked via SPLOC
1
Person is the 2nd or higher order wife linked via SPLOC
POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.
The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Member of an indigenous group
Member of an indigenous group
Member of an indigenous group
Member of an indigenous group
Member of an indigenous group
NIU (not in universe)
1
Yes
2
No
9
Unknown
INDIG indicates whether the person belonged to an indigenous group.
Ethnicity and Language Variables -- PERSON
IPUMS
Consensual union
Consensual union
Consensual union
Consensual union
Consensual union
1
Yes, in consensual union
2
No, married
8
Unknown
9
NIU (not in universe)
CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.
Demographic Variables -- PERSON
IPUMS
Duration of current marriage or union
Duration of current marriage or union
Duration of current marriage or union
Duration of current marriage or union
Duration of current marriage or union
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
98
Unknown
99
NIU (not in universe)
DURMARR reports the duration of the respondent's current marriage or union.
Demographic 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 records
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
This variable indicates the person number (within household).
Technical Person Variables -- PERSON
IPUMS
Person serial number
Person serial number
Person serial number
Person serial number
Person serial number
Person serial number
All persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
This variable indicates the person serial number.
Technical Person Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
26. Is it [the respondent]?
[] 1 Male
[] 2 Female
All persons
1
Male
2
Female
This variable indicates person's sex.
Demographic Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
27. What is the respondent?s age in completed years? _ _
All persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
This variable indicates person's age.
Demographic Variables -- PERSON
IPUMS
Has Identity Card
Has Identity Card
Has Identity Card
Has Identity Card
Has Identity Card
28. Does the respondent have an identity card?
[] 1 Yes
[] 2 No
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person has Identity Card.
Other Person Variables -- PERSON
IPUMS
Religion
Religion
Religion
Religion
Religion
29. Only for persons older than age 6, how would you define yourself from a religious point of view?
[] 1 Catholic
[] 2 Christian non-Catholic
[] 3 Jewish
[] 4 Umbanda or other Afro-American religion
[] 5 Believes in God without following any religion
[] 6 Atheist or agnostic
[] 7 Others (specify): ________
Persons 7+
NIU (not in universe)
1
Catholic
2
Christian, non-Catholic
3
Jewish
4
Umbanda/other Afro-American
5
Believes in God, non-specific religion
6
Athetist/agnostic
7
Other
This variable indicates person's religion.
Ethnicity and Language Variables -- PERSON
IPUMS
Afro/black ancestry
Afro/black ancestry
Afro/black ancestry
Afro/black ancestry
Afro/black ancestry
30. What kind of ancestry do you think you have?
Afro or black
[] 1 Yes
[] 2 No
Asian
[] 1 Yes
[] 2 No
White
[] 1 Yes
[] 2 No
Indigenous
[] 1 Yes
[] 2 No
Other (specify): ________
[] 1 Yes
[] 2 No
Does not know
[] 1 Yes
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person has afro/black ancestry.
Ethnicity and Language Variables -- PERSON
IPUMS
Asian ancestry
Asian ancestry
Asian ancestry
Asian ancestry
Asian ancestry
30. What kind of ancestry do you think you have?
Afro or black
[] 1 Yes
[] 2 No
Asian
[] 1 Yes
[] 2 No
White
[] 1 Yes
[] 2 No
Indigenous
[] 1 Yes
[] 2 No
Other (specify): ________
[] 1 Yes
[] 2 No
Does not know
[] 1 Yes
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person has asian ancestry.
Ethnicity and Language Variables -- PERSON
IPUMS
White ancestry
White ancestry
White ancestry
White ancestry
White ancestry
30. What kind of ancestry do you think you have?
Afro or black
[] 1 Yes
[] 2 No
Asian
[] 1 Yes
[] 2 No
White
[] 1 Yes
[] 2 No
Indigenous
[] 1 Yes
[] 2 No
Other (specify): ________
[] 1 Yes
[] 2 No
Does not know
[] 1 Yes
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person has white ancestry.
Ethnicity and Language Variables -- PERSON
IPUMS
Indigenous ancestry
Indigenous ancestry
Indigenous ancestry
Indigenous ancestry
Indigenous ancestry
30. What kind of ancestry do you think you have?
Afro or black
[] 1 Yes
[] 2 No
Asian
[] 1 Yes
[] 2 No
White
[] 1 Yes
[] 2 No
Indigenous
[] 1 Yes
[] 2 No
Other (specify): ________
[] 1 Yes
[] 2 No
Does not know
[] 1 Yes
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person has indigenous ancestry.
Ethnicity and Language Variables -- PERSON
IPUMS
Other ancestry
Other ancestry
Other ancestry
Other ancestry
Other ancestry
30. What kind of ancestry do you think you have?
Afro or black
[] 1 Yes
[] 2 No
Asian
[] 1 Yes
[] 2 No
White
[] 1 Yes
[] 2 No
Indigenous
[] 1 Yes
[] 2 No
Other (specify): ________
[] 1 Yes
[] 2 No
Does not know
[] 1 Yes
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person has other ancestry.
Ethnicity and Language Variables -- PERSON
IPUMS
Does not know ancestry
Does not know ancestry
Does not know ancestry
Does not know ancestry
Does not know ancestry
30. What kind of ancestry do you think you have?
Afro or black
[] 1 Yes
[] 2 No
Asian
[] 1 Yes
[] 2 No
White
[] 1 Yes
[] 2 No
Indigenous
[] 1 Yes
[] 2 No
Other (specify): ________
[] 1 Yes
[] 2 No
Does not know
[] 1 Yes
Persons with an unknown ancestry
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person does not know ancestry.
Ethnicity and Language Variables -- PERSON
IPUMS
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
31. What is your relationship with the household head?
[] 1 Household head (go to question 34)
[] 2 Spouse or partner (go to question 34)
[] 3 Child (of both the head and spouse) (go to question 34)
[] 4 Child (only of the head) (go to question 34)
[] 5 Step-child (go to question 34)
[] 6 Child-in-law (go to question 34)
[] 7 Parent (go to question 34)
[] 8 Parent-in-law (go to question 34)
[] 9 Sibling (go to question 34)
[] 10 Sibling-in-law (go to question 34)
[] 11 Grandchild
[] 12 Other relative (if younger than 18 years old go to question 32, otherwise to question 34)
[] 13 Other non-relative (if younger than 18 years old go to question 32, otherwise to question 34)
[] 14 Domestic worker (go to question 34)
All persons
1
Head
2
Spouse or partner
3
Child (of both parents)
4
Child (only ot the head)
5
Stepchild
6
Child in-law
7
Parent
8
Parent in-law
9
Sibling
10
Sibling in-law
11
Grandchild
12
Other relative
13
Other non-relative
14
Domestic worker
98
Unknown
This variable indicates person's relationship to household head.
Demographic Variables -- PERSON
IPUMS
Mother's serial number
Mother's serial number
Mother's serial number
Mother's serial number
Mother's serial number
32. Does your mother live in this household?
[Question 32 was asked of persons who were either a grandchild of the household head or were an "Other relative" younger than 18, as per question 31.]
[] Yes (indicate the person number) _ _
[] 99 No, she does not live in this household
Grandchildren or persons under 18 who are "other" relatives and non-relatives of the head
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
14
14
99
Doesn't live in household
This variable indicates the mother's serial number.
Technical Person Variables -- PERSON
IPUMS
Father's serial number
Father's serial number
Father's serial number
Father's serial number
Father's serial number
33. Does your father live in this household?
[Question 32 was asked of persons who were either a grandchild of the household head or were an "Other relative" younger than 18, as per question 31.]
[] Yes (indicate the person number) _ _
[] 99 No, he does not live in this household
Grandchildren or persons under 18 who are "other" relatives and non-relatives of the head
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
13
13
99
Doesn't live in household
This variable indicates the father's serial number.
Technical Person Variables -- PERSON
IPUMS
Spouse/partner lives in household
Spouse/partner lives in household
Spouse/partner lives in household
Spouse/partner lives in household
Spouse/partner lives in household
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
34. Do you have your spouse or partner in this household?
[] 1 Yes
[] 2 No (go to question 37)
Persons age 14+
NIU (not in universe)
1
Yes
2
No
This variable indicates whether spouse/partner lives in household.
Technical Person Variables -- PERSON
IPUMS
Spouse/partner's serial number
Spouse/partner's serial number
Spouse/partner's serial number
Spouse/partner's serial number
Spouse/partner's serial number
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
35. Who is this person?
[Question 35 was asked of persons age 14 or older who had a spouse or partner in this household, as per question 34.]
_ _
Persons age 14+ with spouse/partner living in household
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
This variable indicates the spouse/partner's serial number.
Technical Person Variables -- PERSON
IPUMS
Type of union
Type of union
Type of union
Type of union
Type of union
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
36. What kind of union do you have with this person?
[Question 36 was asked of persons age 14 or older who had a spouse or partner in this household, as per question 34.]
[] 1 Civil marriage (go to question 38)
[] 2 Living together
Persons age 14+ with spouse/partner living in household
NIU (not in universe)
1
Civil marriage
2
Living together
This variable indicates person's type of union (civil marriage or living together).
Demographic Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
37. What is your marital status?
[Question 37 was asked of persons age 14 or older who were not in a civil marriage union, as per questions 34 and 36.]
[] 1 Divorced
[] 2 Married (includes persons who are not yet divorced, even if they are not living together)
[] 3 Widowed
[] 4 Single
Persons age 14+ with non-married spouse/partner in household or without spouse/partner
NIU (not in universe)
1
Divorced
2
Married
3
Widowed
4
Single
This variable indicates the formal marital status of unmarried persons and married persons who are not living with their spouse.
Demographic Variables -- PERSON
IPUMS
Ever had live birth
Ever had live birth
Ever had live birth
Ever had live birth
Ever had live birth
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
38. During your lifetime, did you have any live birth child?
[] 1 Yes
[] 2 No (go to section E.2)
Persons age 14+
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person ever had a live birth.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of children
Number of children
Number of children
Number of children
Number of children
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
39. How many?
[Question 39 was asked of persons age 14 or older who have ever had a live birth child, as per question 38.]
_ _
Persons age 14+ who had children born alive
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
24
24
27
27
30
30
32
32
40
40
41
41
42
42
51
51
65
65
99
Unknown
This variable indicates person's number of children.
Fertility and Mortality 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
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
Only for women:
[This question was asked of females age 14 or older who have ever had a live birth child, as per question 38.]
How many of those live in this household? _ _
How many of those live in a different household in Uruguay? _ _
How many of those live abroad? _ _
How many of those died? _ _
Females age 14+ who had children alive
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
99
NIU (not in universe)
This variable indicates woman's number of children living in household.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of children living in other place in Uruguay
Number of children living in other place in Uruguay
Number of children living in other place in Uruguay
Number of children living in other place in Uruguay
Number of children living in other place in Uruguay
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
Only for women:
[This question was asked of females age 14 or older who have ever had a live birth child, as per question 38.]
How many of those live in this household? _ _
How many of those live in a different household in Uruguay? _ _
How many of those live abroad? _ _
How many of those died? _ _
Females age 14+ who had children alive
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
30
30
40
40
99
NIU (not in universe)
This variable indicates woman's number of children living in other place in Uruguay.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of children living abroad
Number of children living abroad
Number of children living abroad
Number of children living abroad
Number of children living abroad
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
Only for women:
[This question was asked of females age 14 or older who have ever had a live birth child, as per question 38.]
How many of those live in this household? _ _
How many of those live in a different household in Uruguay? _ _
How many of those live abroad? _ _
How many of those died? _ _
Females age 14+ who had children alive
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
15
15
99
NIU (not in universe)
This variable indicates woman's number of children living abroad.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of children who have died
Number of children who have died
Number of children who have died
Number of children who have died
Number of children who have died
[Questions 34- 41 were asked of persons age 14 or older]
(If the person is younger than 14, go to section E.2).
Only for women:
[This question was asked of females age 14 or older who have ever had a live birth child, as per question 38.]
How many of those live in this household? _ _
How many of those live in a different household in Uruguay? _ _
How many of those live abroad? _ _
How many of those died? _ _
Females age 14+ who had children alive
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
99
NIU (not in universe)
This variable indicates woman's number of children who have died.
Fertility and Mortality Variables -- PERSON
IPUMS
Month of first live birth
Month of first live birth
Month of first live birth
Month of first live birth
Month of first live birth
Only for women between ages 14 and 49:
[Questions 40 and 41 were asked of females age 14 to 49 who ever had a live birth child, as per question 38.]
40. In what month and year was the first child born?
Month: _ _
Year: _ _ _ _
Females age 14-49 who had children born alive
NIU (not in universe)
1
January
2
February
3
March
4
April
5
May
6
June
7
July
8
August
9
September
10
October
11
November
12
December
This variable indicates the woman's month of first live birth.
Fertility and Mortality Variables -- PERSON
IPUMS
Year of first live birth
Year of first live birth
Year of first live birth
Year of first live birth
Year of first live birth
Only for women between ages 14 and 49:
[Questions 40 and 41 were asked of females age 14 to 49 who ever had a live birth child, as per question 38.]
40. In what month and year was the first child born?
Month: _ _
Year: _ _ _ _
Females age 14-49 who had children born alive
NIU (not in universe)
1957
1957
1958
1958
1959
1959
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
9998
Unknown
This variable indicates woman's year of first live birth.
Fertility and Mortality Variables -- PERSON
IPUMS
Month of last live birth
Month of last live birth
Month of last live birth
Month of last live birth
Month of last live birth
Only for women between ages 14 and 49:
[Questions 40 and 41 were asked of females age 14 to 49 who ever had a live birth child, as per question 38.]
41. In what month and year was the last child born?
Month: _ _
Year: _ _ _ _
[] 9999 She only had one child born alive
Females age 14-49 who had children born alive
NIU (not in universe)
1
January
2
February
3
March
4
April
5
May
6
June
7
July
8
August
9
September
10
October
11
November
12
December
This variable indicates woman's month of last live birth.
Fertility and Mortality Variables -- PERSON
IPUMS
Year of last live birth
Year of last live birth
Year of last live birth
Year of last live birth
Year of last live birth
Only for women between ages 14 and 49:
[Questions 40 and 41 were asked of females age 14 to 49 who ever had a live birth child, as per question 38.]
41. In what month and year was the last child born?
Month: _ _
Year: _ _ _ _
[] 9999 She only had one child born alive
Females age 14-49 who had children born alive
NIU (not in universe)
1944
1944
1955
1955
1959
1959
1963
1963
1964
1964
1968
1968
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
9997
Only one child born alive
9998
Unknown
This variable indicates the woman's year of last live birth.
Fertility and Mortality Variables -- PERSON
IPUMS
Ministry of Public Health benefits
Ministry of Public Health benefits
Ministry of Public Health benefits
Ministry of Public Health benefits
Ministry of Public Health benefits
42. Do you currently have benefits in any of the following health assistance institutions?
Ministry of Public Health
[] 1 Yes
[] 2 No
Hospital de ClĂnicas [hospital in the capital city]
[] 1 Yes
[] 2 No
Police health services
[] 1 Yes
[] 2 No
Army health services
[] 1 Yes
[] 2 No
Municipality clinic
[] 1 Yes
[] 2 No
BPS health area [social security institution] (family allowances)
[] 1 Yes
[] 2 No
IAMC [collective medical assistance institutions]
[] 1 Yes
[] 2 No
Private partial medical insurance
[] 1 Yes
[] 2 No
Private partial surgery insurance
[] 1 Yes
[] 2 No
Complete private health insurance
[] 1 Yes
[] 2 No
Other (specify): ________
[] 1 Yes
[] 2 No
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person has Ministry of Public Health benefits.
Other Person Variables -- PERSON
IPUMS
Private full health insurance
Private full health insurance
Private full health insurance
Private full health insurance
Private full health insurance
42. Do you currently have benefits in any of the following health assistance institutions?
Ministry of Public Health
[] 1 Yes
[] 2 No
Hospital de ClĂnicas [hospital in the capital city]
[] 1 Yes
[] 2 No
Police health services
[] 1 Yes
[] 2 No
Army health services
[] 1 Yes
[] 2 No
Municipality clinic
[] 1 Yes
[] 2 No
BPS health area [social security institution] (family allowances)
[] 1 Yes
[] 2 No
IAMC [collective medical assistance institutions]
[] 1 Yes
[] 2 No
Private partial medical insurance
[] 1 Yes
[] 2 No
Private partial surgery insurance
[] 1 Yes
[] 2 No
Complete private health insurance
[] 1 Yes
[] 2 No
Other (specify): ________
[] 1 Yes
[] 2 No
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person has private full health insurance.
Other Person Variables -- PERSON
IPUMS
Other health benefits
Other health benefits
Other health benefits
Other health benefits
Other health benefits
42. Do you currently have benefits in any of the following health assistance institutions?
Ministry of Public Health
[] 1 Yes
[] 2 No
Hospital de ClĂnicas [hospital in the capital city]
[] 1 Yes
[] 2 No
Police health services
[] 1 Yes
[] 2 No
Army health services
[] 1 Yes
[] 2 No
Municipality clinic
[] 1 Yes
[] 2 No
BPS health area [social security institution] (family allowances)
[] 1 Yes
[] 2 No
IAMC [collective medical assistance institutions]
[] 1 Yes
[] 2 No
Private partial medical insurance
[] 1 Yes
[] 2 No
Private partial surgery insurance
[] 1 Yes
[] 2 No
Complete private health insurance
[] 1 Yes
[] 2 No
Other (specify): ________
[] 1 Yes
[] 2 No
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person has other health benefits.
Other Person Variables -- PERSON
IPUMS
Principal health services provider
Principal health services provider
Principal health services provider
Principal health services provider
Principal health services provider
43. With respect to health care, where do you usually look for health services?
[] 1 Ministry of Public Health
[] 2 Hospital de ClĂnicas [hospital in the capital city]
[] 3 Police health services
[] 4 Army health services
[] 5 Municipality clinic
[] 6 BPS health area [social security institution] (family allowances)
[] 7 IAMC [collective medical assistance institutions]
[] 8 Private partial medical insurance
[] 9 Private partial surgery insurance
[] 10 Complete private health insurance
[] 11 Other (specify): ________
[] 12 Does not look for health care
All persons
1
Ministry of Public Health
2
Hospital de Clinicas
3
Police health services
4
Army health services
5
Municipal clinic
6
BPS (social security)
7
IAMC (collective medical assistance)
8
Private partial medical insurance
9
Private partial surgery insurance
10
Private complete health insurance
11
Other provider
12
Does not seek health care
98
Unknown
This variable indicates the person's principal health services provider.
Other Person Variables -- PERSON
IPUMS
Literacy
Literacy
Literacy
Literacy
Literacy
47. Do you know how to read and write?
[] 1 Yes
[] 2 No
All persons
1
Yes
2
No
8
Unknown
This variable indicates person's literacy.
Education Variables -- PERSON
IPUMS
Current school attendance
Current school attendance
Current school attendance
Current school attendance
Current school attendance
48. Do you currently attend to some educational center at the pre-school, primary, secondary, superior, or technical level?
[] 1 Yes
[] 2 No (go to question 51)
All persons
1
Yes
2
No
8
Unknown
This variable indicates person's current school attendance.
Education Variables -- PERSON
IPUMS
Type of school
Type of school
Type of school
Type of school
Type of school
48. Do you currently attend to some educational center at the pre-school, primary, secondary, superior, or technical level?
[] 1 Yes
[] 2 No (go to question 51)
49. Is this educational center public or private?
[Question 49 was asked of persons who were currently attending school, as per question 48.]
[] 1 Public
[] 2 Private
Persons currently attending school
NIU (not in universe)
1
Public
2
Private
This variable indicates person's type of school currently attending (public or private).
Education Variables -- PERSON
IPUMS
Preschool level attending
Preschool level attending
Preschool level attending
Preschool level attending
Preschool level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend preschool
1
Preschool, year 1
2
Preschool, year 2
3
Preschool, year 3
4
Preschool, year 4
5
Preschool, year 5
This variable indicates whether the person is attending preschool level.
Education Variables -- PERSON
IPUMS
University level attending
University level attending
University level attending
University level attending
University level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend university
1
University, year 1
2
University, year 2
3
University, year 3
4
University, year 4
5
University, year 5
6
University, year 6
7
University, year 7
8
University, year 8
98
Unknown
This variable indicates whether the person is attending university level.
Education Variables -- PERSON
IPUMS
Non-university higher educational level attending
Non-university higher educational level attending
Non-university higher educational level attending
Non-university higher educational level attending
Non-university higher educational level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend non-university higher education
1
Non-university higher ed, year 1
2
Non-university higher ed, year 2
3
Non-university higher ed, year 3
4
Non-university higher ed, year 4
5
Non-university higher ed, year 5
6
Non-university higher ed, year 6
98
Unknown
This variable indicates whether the person is attending non-university higher educational level.
Education Variables -- PERSON
IPUMS
Graduate school level attending
Graduate school level attending
Graduate school level attending
Graduate school level attending
Graduate school level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend graduate school
1
Graduate school, year 1
2
Graduate school, year 2
3
Graduate school, year 3
4
Graduate school, year 4
5
Graduate school, year 5
6
Graduate school, year 6
8
Graduate school, year 8
98
Unknown
This variable indicates whether the person is attending graduate school level.
Education Variables -- PERSON
IPUMS
Special primary school level attending
Special primary school level attending
Special primary school level attending
Special primary school level attending
Special primary school level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend special primary school
1
Special primary school, year 1
2
Special primary school, year 2
3
Special primary school, year 3
4
Special primary school, year 4
5
Special primary school, year 5
6
Special primary school, year 6
7
Special primary school, year 7
9
Special primary school, year 9
98
Unknown
This variable indicates whether the person is attending special primary school level.
Education Variables -- PERSON
IPUMS
Primary school level attending
Primary school level attending
Primary school level attending
Primary school level attending
Primary school level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend primary school
1
Primary school, year 1
2
Primary school, year 2
3
Primary school, year 3
4
Primary school, year 4
5
Primary school, year 5
6
Primary school, year 6
This variable indicates whether the person is attending primary school level.
Education Variables -- PERSON
IPUMS
Basic secondary school level attending
Basic secondary school level attending
Basic secondary school level attending
Basic secondary school level attending
Basic secondary school level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend basic cycle secondary school
1
Secondary school, year 1
2
Secondary school, year 2
3
Secondary school, year 3
This variable indicates whether the person is attending basic secondary school level.
Education Variables -- PERSON
IPUMS
Basic cycle of UTU level attending
Basic cycle of UTU level attending
Basic cycle of UTU level attending
Basic cycle of UTU level attending
Basic cycle of UTU level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend basic cycle UTU
1
UTU, year 1
2
UTU, year 2
3
UTU, year 3
This variable indicates whether the person is attending basic cycle of UTU level.
Education Variables -- PERSON
IPUMS
Upper secondary school level attending
Upper secondary school level attending
Upper secondary school level attending
Upper secondary school level attending
Upper secondary school level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend upper secondary school
4
Secondary school, year 4
5
Secondary school, year 5
6
Secondary school, year 6
This variable indicates whether the person is attending upper secondary school level.
Education Variables -- PERSON
IPUMS
Professional basic training level attending
Professional basic training level attending
Professional basic training level attending
Professional basic training level attending
Professional basic training level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend professional basic training
1
Professional basic training, year 1
2
Professional basic training, year 2
3
Professional basic training, year 3
4
Professional basic training, year 4
5
Professional basic training, year 5
6
Professional basic training, year 6
This variable indicates whether the person is attending professional basic training level.
Education Variables -- PERSON
IPUMS
Upper cycle of UTU level attending
Upper cycle of UTU level attending
Upper cycle of UTU level attending
Upper cycle of UTU level attending
Upper cycle of UTU level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend upper cycle UTU
4
UTU, year 4
5
UTU, year 5
6
UTU, year 6
This variable indicates whether the person is attending upper cycle of UTU level.
Education Variables -- PERSON
IPUMS
Teacher training level attending
Teacher training level attending
Teacher training level attending
Teacher training level attending
Teacher training level attending
50. What level and year of education are you currently in? [Indicate the year for the correspondent level]
[Question 50 was asked of persons who were currently attending school, as per question 48.]
[] Pre-school _
[] Special primary _
[] Primary _
[] Basic cycle high school _
[] Basic cycle of the University of Work (UTU) _
[] Upper high school (4th to 6th) _
[] Professional basic training _
[] Upper technical high school (4th to 6th) _
[] Teacher training (go to question 53) _
[] University or similar (go to question 53) _
[] Non-university higher education (go to question 53) _
[] Graduate school (master or Ph.D.) (go to question 53) _
All persons
Doesn't attend teacher training
1
Teacher training, year 1
2
Teacher training, year 2
3
Teacher training, year 3
4
Teacher training, year 4
5
Teacher training, year 5
This variable indicates whether the person is attending teacher training level.
Education Variables -- PERSON
IPUMS
Ever attended school
Ever attended school
Ever attended school
Ever attended school
Ever attended school
48. Do you currently attend to some educational center at the pre-school, primary, secondary, superior, or technical level?
[] 1 Yes
[] 2 No (go to question 51)
51. Even though you are not currently attending, have you ever attended an educational center at the pre-school, primary, secondary, superior, or technical level?
[Question 51 was asked of persons who were not currently attending school, as per question 48.]
[] 1 Yes
[] 2 Never attended (go to section E.4)
Persons currently not attending school
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person ever attended school.
Education Variables -- PERSON
IPUMS
Year attained, primary
Year attained, primary
Year attained, primary
Year attained, primary
Year attained, primary
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Primary
Years: _
Finished the level?
[] 1 Yes (go to question 56)
[] 2 No (go to question 56)
All persons
Highest level not primary
1
1
2
2
3
3
4
4
5
5
6
6
This variable indicates the person's year attained in primary level.
Education Variables -- PERSON
IPUMS
Finished primary school
Finished primary school
Finished primary school
Finished primary school
Finished primary school
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Primary
Years: _
Finished the level?
[] 1 Yes (go to question 56)
[] 2 No (go to question 56)
Persons with primary as highest level attained
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person finished primary school.
Education Variables -- PERSON
IPUMS
Year attained, secondary
Year attained, secondary
Year attained, secondary
Year attained, secondary
Year attained, secondary
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Secondary
Years: _
Finished the level?
[] 1 Yes (go to question 54)
[] 2 No (go to question 54)
All persons
Highest level not secondary
1
1
2
2
3
3
4
4
5
5
6
6
This variable indicates the person's year attained in secondary level.
Education Variables -- PERSON
IPUMS
Finished secondary school
Finished secondary school
Finished secondary school
Finished secondary school
Finished secondary school
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Secondary
Years: _
Finished the level?
[] 1 Yes (go to question 54)
[] 2 No (go to question 54)
Persons with secondary as highest level attained
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person finished secondary school.
Education Variables -- PERSON
IPUMS
Year attained, technical school
Year attained, technical school
Year attained, technical school
Year attained, technical school
Year attained, technical school
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Technical school
Years: _
Finished the level?
[] 1 Yes
[] 2 No
In order to pursue these studies, what were you required to have?
[] 1 Secondary school completed
[] 2 Secondary school, first cycle
[] 3 Primary school completed
[] 4 No requirements
All persons
Highest level not technical school
1
1
2
2
3
3
4
4
5
5
6
6
This variable indicates the person's year attained in technical school.
Education Variables -- PERSON
IPUMS
Finished technical school
Finished technical school
Finished technical school
Finished technical school
Finished technical school
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Technical school
Years: _
Finished the level?
[] 1 Yes
[] 2 No
In order to pursue these studies, what were you required to have?
[] 1 Secondary school completed
[] 2 Secondary school, first cycle
[] 3 Primary school completed
[] 4 No requirements
Persons with technical school as highest level attained
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person finished technical school.
Education Variables -- PERSON
IPUMS
Prerequisites for technical school
Prerequisites for technical school
Prerequisites for technical school
Prerequisites for technical school
Prerequisites for technical school
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Teacher training
Years: _
Finished the level?
[] 1 Yes
[] 2 No
Persons with technical school as highest level attained
NIU (not in universe)
1
Secondary school, completed
2
Secondary school, first cycle (3 yrs)
3
Primary school, completed
4
No requirements
This variable indicates the prerequisites for technical school.
Education Variables -- PERSON
IPUMS
Year attained, teacher training
Year attained, teacher training
Year attained, teacher training
Year attained, teacher training
Year attained, teacher training
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Teacher training
Years: _
Finished the level?
[] 1 Yes
[] 2 No
All persons
Highest level not teacher training
1
1
2
2
3
3
4
4
5
5
This varaible indicates the person's year attained in teacher training.
Education Variables -- PERSON
IPUMS
Finished teacher training
Finished teacher training
Finished teacher training
Finished teacher training
Finished teacher training
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Teacher training
Years: _
Finished the level?
[] 1 Yes
[] 2 No
Persons with teacher training as highest level attained
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person finished teacher training.
Education Variables -- PERSON
IPUMS
Year attained, university
Year attained, university
Year attained, university
Year attained, university
Year attained, university
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] University or similar
Years: _
Finished the level?
[] 1 Yes
[] 2 No
All persons
Highest level not university
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
98
Unknown
This variable indicates the person's year attained in university.
Education Variables -- PERSON
IPUMS
Finished university
Finished university
Finished university
Finished university
Finished university
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] University or similar
Years: _
Finished the level?
[] 1 Yes
[] 2 No
Persons with university as highest level attained
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person finished university.
Education Variables -- PERSON
IPUMS
Year attained, non-university higher ed
Year attained, non-university higher ed
Year attained, non-university higher ed
Year attained, non-university higher ed
Year attained, non-university higher ed
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Non-university higher education
Years: _
Finished the level?
[] 1 Yes
[] 2 No
All persons
Highest level not non-university higher ed
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
This variable indicates the person's year attained in non-university higher education.
Education Variables -- PERSON
IPUMS
Finished non-university higher ed
Finished non-university higher ed
Finished non-university higher ed
Finished non-university higher ed
Finished non-university higher ed
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Non-university higher education
Years: _
Finished the level?
[] 1 Yes
[] 2 No
Persons with non-university higher education as highest level attained
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person finished non-university higher education.
Education Variables -- PERSON
IPUMS
Year attained, graduate school
Year attained, graduate school
Year attained, graduate school
Year attained, graduate school
Year attained, graduate school
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Graduate studies (master or Ph.D.)
Years: _
Finished the level?
[] 1 Yes
[] 2 No
All persons
Highest level not graduate school
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
98
Unknown
This variable indicates the person's year attained in graduate school.
Education Variables -- PERSON
IPUMS
Finished graduate school
Finished graduate school
Finished graduate school
Finished graduate school
Finished graduate school
52. What is the highest level and year attained?
[Question 52 was asked of persons who were not currently attending school but have attended in the past, as per questions 48 and 51.]
[] Graduate studies (master or Ph.D.)
Years: _
Finished the level?
[] 1 Yes
[] 2 No
Persons with graduate school as highest level attained
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person finished graduate school.
Education Variables -- PERSON
IPUMS
Principal field of studies
Principal field of studies
Principal field of studies
Principal field of studies
Principal field of studies
53. What is the area, class, or career that you study or studied? Record the main one.
[Question 53 was asked of persons who are attending or have had attended technical school, university or similar level, or are involved in teacher trainings, as per questions 50, ME1, and 52.]
_ _ _ _ _
________
Persons with tertiary education
101
101
152
152
162
162
166
166
201
201
214
214
234
234
246
246
250
250
252
252
262
262
266
266
278
278
289
289
302
302
314
314
318
318
334
334
346
346
350
350
352
352
354
354
362
362
366
366
370
370
378
378
384
384
389
389
514
514
518
518
522
522
526
526
530
530
534
534
538
538
542
542
546
546
550
550
552
552
554
554
558
558
562
562
566
566
570
570
578
578
584
584
589
589
614
614
618
618
622
622
626
626
630
630
634
634
638
638
642
642
646
646
650
650
654
654
658
658
662
662
666
666
678
678
684
684
689
689
714
714
718
718
722
722
726
726
730
730
734
734
738
738
742
742
746
746
750
750
754
754
758
758
762
762
784
784
789
789
901
901
914
914
918
918
930
930
938
938
998
Unknown
999
NIU (not in universe)
This variable indicates the person's principal field of studies in tertiary education.
Education Variables -- PERSON
IPUMS
All years in public secondary school
All years in public secondary school
All years in public secondary school
All years in public secondary school
All years in public secondary school
54. The years you spent in high school, did you do all of them in a public school?
[Question 54 was asked of persons who have ever attended high school, as per questions 50, ME1, and 52.]
[] 1 Yes (go to question 56)
[] 2 No
Persons with secondary education or higher
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person spent all years in public secondary school.
Education Variables -- PERSON
IPUMS
Number of years in public secondary school
Number of years in public secondary school
Number of years in public secondary school
Number of years in public secondary school
Number of years in public secondary school
55. How many years did you complete in a public high school?
[Question 55 was asked of persons who did not spend all their high school in a public school, as per question 54.]
_ _
Persons with secondary education or higher who did not have all years in public secondary school
1
1
2
2
3
3
4
4
5
5
6
6
98
Unknown
99
NIU (not in universe)
This variable indicates the person's number of years in public secondary school.
Education Variables -- PERSON
IPUMS
All years in public primary school
All years in public primary school
All years in public primary school
All years in public primary school
All years in public primary school
56. The years you spent in primary school, did you do all of them in a public school?
[Question 56 was asked of persons who have ever attended primary school, as per questions 50, ME1, and 52.]
[] 1 Yes (go to question ME2)
[] 2 No
Persons with primary education or higher
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person spent all years in public primary school.
Education Variables -- PERSON
IPUMS
Number of years in public primary school
Number of years in public primary school
Number of years in public primary school
Number of years in public primary school
Number of years in public primary school
57. How many years did you complete in a public primary school?
[Question 57 was asked of persons who did not spend all their primary school in a public school, as per questions 50, ME1, and 52.]
_ _
Persons with primary education or higher who did not have all years in public primary school
1
1
2
2
3
3
4
4
5
5
6
6
98
Unknown
99
NIU (not in universe)
This variable indicates the person's number of years in public primary school.
Education Variables -- PERSON
IPUMS
Ate at free dining facility in past month
Ate at free dining facility in past month
Ate at free dining facility in past month
Ate at free dining facility in past month
Ate at free dining facility in past month
E.4 Social policies
For all the persons in the household.
58. Have you attended any free dining facility in the last 30 days?
[] 1 Yes
[] 2 No
(If marked "Yes") Which one and how often? Indicate in the blank spaces the weekly frequency receiving each type of food. You can register more than one option.
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person ate at free dining facility during last month.
Other Person Variables -- PERSON
IPUMS
Receives food from public program
Receives food from public program
Receives food from public program
Receives food from public program
Receives food from public program
59. Does your household receive in any type of food from a public program, excluding food baskets?
[] 1 Yes
Number of times per week _ _
Number of times per month _ _
[] 2 No
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person receives food from public program.
Other Person Variables -- PERSON
IPUMS
Weekly frequency of receiving public program food
Weekly frequency of receiving public program food
Weekly frequency of receiving public program food
Weekly frequency of receiving public program food
Weekly frequency of receiving public program food
59. Does your household receive in any type of food from a public program, excluding food baskets?
[] 1 Yes
Number of times per week _ _
Number of times per month _ _
[] 2 No
Persons receiving food from public program
1
1
2
2
3
3
4
4
5
5
6
6
7
7
98
Unknown
99
NIU (not in universe)
This variable indicates the weekly frequency of receiving public program food.
Other Person Variables -- PERSON
IPUMS
Monthly frequency of receiving public program food
Monthly frequency of receiving public program food
Monthly frequency of receiving public program food
Monthly frequency of receiving public program food
Monthly frequency of receiving public program food
59. Does your household receive in any type of food from a public program, excluding food baskets?
[] 1 Yes
Number of times per week _ _
Number of times per month _ _
[] 2 No
Persons receiving food from public program
1
1
4
4
6
6
10
10
20
20
22
22
24
24
25
25
26
26
99
NIU (not in universe)
This variable indicates the monthly frequency of receiving public program food.
Other Person Variables -- PERSON
IPUMS
Receives food basket
Receives food basket
Receives food basket
Receives food basket
Receives food basket
60. Does your household receive any type of food basket?
[] 1 Yes
[] 2 No
(If answered yes) What type of basket and how many of each one, per month?
[] 1 Regular (INDA [national feeding institute]) _ _
[] 2 Low weight (nutritional risk) _ _
[] 3 Lead _ _
[] 4 Pensioner _ _
[] 5 Diabetes _ _
[] 6 Kidney _ _
[] 7 Kidney-diabetes _ _
[] 8 Celiac _ _
[] 9 Tuberculosis _ _
[] 10 Cancer _ _
[] 11 Aids (HIV+) _ _
[] 12 Other (specify): ________ _ _
All persons
1
Yes
2
No
8
Unknown
This variable indicates whether the person receives a food basket.
Other Person Variables -- PERSON
IPUMS
Enrollment in housing credit/aid program
Enrollment in housing credit/aid program
Enrollment in housing credit/aid program
Enrollment in housing credit/aid program
Enrollment in housing credit/aid program
60. Does your household receive any type of food basket?
[] 1 Yes
[] 2 No
(If answered yes) What type of basket and how many of each one, per month?
[] 1 Regular (INDA [national feeding institute]) _ _
[] 2 Low weight (nutritional risk) _ _
[] 3 Lead _ _
[] 4 Pensioner _ _
[] 5 Diabetes _ _
[] 6 Kidney _ _
[] 7 Kidney-diabetes _ _
[] 8 Celiac _ _
[] 9 Tuberculosis _ _
[] 10 Cancer _ _
[] 11 Aids (HIV+) _ _
[] 12 Other (specify): ________ _ _
All persons
1
BHU (mortgage bank of Uruguay)
2
MVOTMA (ministry of housing)
3
MEVIR (comission to erradicate non-sanitary rural dwellings)
4
RAVE (registry of applicants to emergency dwellings)
5
PIAI (program of integration of irregular settlements)
6
Municipal
7
Other
8
Not enrolled
9
Unknown
This variable indicates enrollment in housing credit/aid program.
Other Person Variables -- PERSON
IPUMS
Worked last week
Worked last week
Worked last week
Worked last week
Worked last week
F. Work activity
Only for persons age 14 or older
62. During the last week, did you work at least one hour without considering domestic chores?
[] 1 Yes (go to question 66)
[] 2 No
Persons age 14+
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person worked last week.
Work Variables -- PERSON
IPUMS
Other help activity last week
Other help activity last week
Other help activity last week
Other help activity last week
Other help activity last week
F. Work activity
Only for persons age 14 or older
66. How many jobs do you have?
[Question 66 was asked of persons age 14 or older who worked last week or had a job or business to return to, as per questions 62, 63, and 64.]
_ _
Persons age 14+ not working
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person performed other help activity last week.
Work Variables -- PERSON
IPUMS
Job to return to
Job to return to
Job to return to
Job to return to
Job to return to
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
Persons age 14+ not working or doing other help activity
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person has a job to return to.
Work Variables -- PERSON
IPUMS
Reason for not working
Reason for not working
Reason for not working
Reason for not working
Reason for not working
F. Work activity
Only for persons age 14 or older
65. Why did you not work during last week?
[Question 65 was asked of persons age 14 or older who did not work last week but had a job or business to return to, as per questions 62, 63 and 64.]
[] 1 Absent with permission (vacations, sickness, studies, etc.)
[] 2 Not enough work or bad weather conditions
[] 3 Receiving unemployment benefits
[] 4 Strike or suspended
Persons age 14+ with a job, not working or doing other help activity
NIU (not in universe)
1
Absent from work with permission
2
Not enough work/bad weather
3
Receiving unemployment benefits
4
On strike/suspended
This variable indicates the person's reason for not working.
Work Variables -- PERSON
IPUMS
Number of current jobs
Number of current jobs
Number of current jobs
Number of current jobs
Number of current jobs
F. Work activity
Only for persons age 14 or older
66. How many jobs do you have?
[Question 66 was asked of persons age 14 or older who worked last week or had a job or business to return to, as per questions 62, 63, and 64.]
_ _
Persons age 14+ working or with a job
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
11
11
22
22
98
Unknown
This variable indicates the person's number of current jobs.
Work Variables -- PERSON
IPUMS
Occupation (ISCO-88, 3 digits)
Occupation (ISCO-88, 3 digits)
Occupation (ISCO-88, 3 digits)
Occupation (ISCO-88, 3 digits)
Occupation (ISCO-88, 3 digits)
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
67. What activities do you perform in the work that brought you the most income? In other words, what is your occupation?
[Question 67 was asked of persons age 14 or older who worked last week or had a job or business to return to, as per questions 62, 63, and 64.]
________ _ _ _ _
Persons age 14+ working or with a job
10
Armed forces, not further specified
11
Armed forces officers
12
Armed forces, non-officers
111
Legislators
112
Senior government officials
114
Senior officials of special-interest organizations
121
Directors and chief executives
122
Production and operations department managers
123
Other deparment managers
131
General managers (small enterprise)
211
Physicists, chemists, and related professionals
212
Mathematicians, statisticians, and related professionals
213
Computing professinoals
214
Architects, engineers, and related professionals
221
Life science professionals
222
Health professionals (except nursing)
223
Nursing and midwifery professionals
231
College, university, and higher education teaching professionals
232
Secondary education teaching professionals
233
Primary and pre-primary education teaching professionals
234
Special education teaching professionals
235
Other teaching professionals
241
Business professionals
242
Legal professionals
243
Archivists, librarians, and related information professionals
244
Social science and related professionals
245
Writers and creative or performing artists
246
Religious professionals
311
Physical and engineering science technicians
312
Computer associate professionals
313
Optical and electronic equipment operators
314
Ship and aircraft controllers and technicians
315
Safety and quality inspectors
321
Life science technicians and related associate professionals
322
Modern health associate professionals (except nursing)
323
Nursing and midwifery associate professionals
324
Traditional medicine practitioners and faith healers
331
Primary education teaching associate professionals
332
Pre-primary education teaching associate professionals
333
Special education teaching associate professionals
334
Other teaching associate professionals
341
Finance and sales associate professionals
342
Business services agents and trade brokers
343
Administrative associate professionals
344
Customs, tax, and related goverment associate professionals
345
Police inspectors and detectives
346
Social work associate professionals
347
Artistic, entertainment, and sports associate professionals
348
Religious associate professionals
411
Secretaries and keyboard-operating clerks
412
Numerical clerks
413
Material-recording and transport clerks
414
Library, mail, and related clerks
419
Other office clerks
421
Cashiers, tellers, and related clerks
422
Client information clerks
511
Travel attendants and related workers
512
Housekeeping and restaurant services workers
513
Personal care and related workers
514
Other personal service workers
515
Astrologers, fortune-tellers, and related workers
516
Protective services workers
520
Models, salespersons, and demostrators, not further specified
521
Fashion and other models
522
Shop salespersons and demostrators
523
Stall and market salespersons
610
Market-oriented skilled agricultural and fishery workers, not further specified
611
Market gardeners and crop growers
612
Market-oriented animal producers and related workers
613
Market-oriented crop and animal producers
614
Forestry and related workers
615
Fishery workers, hunters, and trappers
711
Miners, shotfirers, stone cutters, and carvers
712
Building frame and related trades workers
713
Building finishers and related trades workers
714
Painters, building structure cleaners, and related trades workers
720
Metal, machinery, and related workers, not further specified
721
Metal moulders, welders, sheet-metal workers, structural-metal preparers, and related trades workers
722
Blacksmiths, tool-makers, and related trades workers
723
Machinery mechanics and fitters
724
Electrical and electronicl equipment mechanics and fitters
731
Precision workers in metal and related materials
732
Potters, glass-makers, and related trades workers
733
Handicraft workers in wood, textile, leather, and related materials
734
Printing and related trades workers
741
Food processing and related trades workers
742
Wood treaters, cabinet-makers, and related trades workers
743
Textile, garment, and related trades workers
744
Pelt, leather, and shoemaking trades workers
811
Mining- and minteral-processing-plant operators
812
Metal-processing-plant operators
813
Glass, ceramics, and related plant operators
814
Wood-processing- and papermaking-plant operators
815
Chemical-processing-plant operators
816
Power-production and related plant operators
817
Automated-assembly-line and industrial-robot operators
821
Metal- and mineral-products machine operators
822
Chemical-products machine operators
823
Rubber- and plastic-products machine operators
824
Wood-products machine operators
825
Printing-, binding-, and paper-products machine operators
826
Textile-, fur-, and leather-products machine operators
827
Food and related products machine operators
828
Assemblers
829
Other machine operators and assemblers
830
Drivers and mobile-plant operators, not further specified
831
Locomotive-engine drivers and related workers
832
Motor-vehicle drivers
833
Agricultural and other mobile-plant operators
834
Ships' deck crews and related workers
911
Street vendors and related workers
912
Shoe cleaning and other street services elementary occupations
913
Domestic and related helpers, cleaners, and launderers
914
Building caretakers, window, and related cleaners
915
Messengers, porters, doorkeepers, and related workers
916
Garbage collectors and related laborers
917
Non-skilled personal service workers
921
Agricultura, fishery, and related workers
931
Mining and construction laborers
932
Manufacturing laborers
933
Transport laborers and freight handlers
998
Unknown
999
NIU (not in universe)
This variable indicates the person's occupation (ISCO-88, 3 digits).
Work: Occupation Variables -- PERSON
IPUMS
Industry (ISIC rev 3, 4 digits)
Industry (ISIC rev 3, 4 digits)
Industry (ISIC rev 3, 4 digits)
Industry (ISIC rev 3, 4 digits)
Industry (ISIC rev 3, 4 digits)
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
68. What does the establishment that you work for produce or do?
[Question 68 was asked of persons age 14 or older who worked last week or had a job or business to return to, as per questions 62, 63, and 64.]
________ _ _ _ _
Persons age 14+ working or with a job
This variable indicates the person's industry (ISIC rev 3, 4 digits).
This is a 4-digit numeric variable with 0 implied decimal places
Work: Industry Variables -- PERSON
IPUMS
Industry (ISIC rev 3, 3 digits)
Industry (ISIC rev 3, 3 digits)
Industry (ISIC rev 3, 3 digits)
Industry (ISIC rev 3, 3 digits)
Industry (ISIC rev 3, 3 digits)
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
68. What does the establishment that you work for produce or do?
[Question 68 was asked of persons age 14 or older who worked last week or had a job or business to return to, as per questions 62, 63, and 64.]
________ _ _ _ _
Persons age 14+ working or with a job
10
Agriculture, hunting, and related activities, not further specified
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
15
Hunting, trapping and game propagation including related service activities
20
Forestry, logging and related service activities
50
Fishing, operation of fish hatcheries and fish farms, service activities incidental to fishing
100
Coal mining
120
Mining of uranium and thorium ores
131
Mining of iron ores
132
Mining of non-ferrous metal ores, except uranium and thorium ores
141
Quarrying of stone, sand, and clay
142
Mining and quarrying n.e.c.
151
Production, processing and preservation of meat, fish, fruit, vegetables, oils and fats
152
Manufacture of dairy products
153
Manufacture of grain mill products, starches and starch products, and prepared animal feeds
154
Manufacture of other food products
155
Manufacture of beverages
160
Manufacture of tobacco products
170
Manufacture of textiles, not further specified
171
Spinning, weaving and finishing of textiles
172
Manufacture of other textiles
173
Manufacture of knitted and crocheted fabrics and articles
181
Manufacture of wearing apparel, except fur apparel
182
Dressing and dyeing of fur, manufacture of articles of fur
191
Tanning and dressing of leather, manufacture of luggage, handbags, saddlery and harness
192
Manufacture of footwear
201
Sawmilling and planing of wood
202
Manufacture of products of wood, cork, straw and plaiting materials
210
Manufacture of paper and paper products
220
Publishing, printing, and reproduction of recorded media, not further specified
221
Publishing
223
Reproduction of recorded media
231
Manufacture of coke oven products
232
Manufacture of refined petroleum products
233
Processing of nuclear fuel
240
Manufacture of chemicals and chemical products, not further specified
241
Manufacture of basic chemicals
242
Manufacture of other chemical products
251
Manufacture of rubber products
252
Manufacture of plastics products
261
Manufacture of glass and glass products
269
Manufacture of non-metallic mineral products n.e.c.
270
Manufacture of basic metals, not further specified
280
Manufacture of fabricated metal products, except machinery and equipment, not further specified
281
Manufacture of fabricated metal products, except machinery and equipment
289
Manufacture of other fabricated metal products, metal working service activities
290
Manufacture of machinery and equipment, except electrical, not further specified
291
Manufacture of general purpose machinery
292
Manufacture of special purpose machinery
293
Manufacture of domestic appliances n.e.c.
300
Manufacture of office, accounting and computing machinery
310
Manufacture of electrical machinery and apparatus n.e.c.
320
Manufacture of radio, television and communication equipment and apparatus
330
Manufacture of medical, precision and optical instruments, watches and clocks
340
Manufacture of motor vehicles, trailers and semi-trailers
350
Manufacture of other transport equipment, not further specified
351
Building and repairing of ships and boats
353
Manufacture of aircraft and spacecraft
359
Manufacture of transport equipment n.e.c.
360
Manufacture of furniture, manufacturing n.e.c.
361
Manufacture of furniture
369
Manufacturing n.e.c.
370
Recycling
401
Production, collection and distribution of electricity
402
Manufacture of gas, distribution of gaseous fuels through mains
410
Collection, purification and distribution of water
450
Construction, not further specified
451
Site preparation
452
Building of complete constructions or parts thereof, civil engineering
453
Building installation
454
Building completion
455
Renting of construction or demolition equipment with operator
501
Sale of motor vehicles
502
Maintenance and repair of motor vehicles
503
Sale of motor vehicle parts and accessories
504
Sale, maintenance and repair of motorcycles and related parts and accessories
505
Retail sale of automotive fuel
510
Wholesale trade and commission trade, except of motor vehicles and motorcycles, not further specified
511
Wholesale on a fee or contract basis
512
Wholesale of agricultural raw materials, live animals, food, beverages and tobacco
513
Wholesale of household goods
514
Wholesale of non-agricultural intermediate products, waste and scrap
515
Wholesale of machinery, equipment and supplies
519
Other wholesale
520
Retail trade, except of motor vehicles and motorcycles, repair of personal and household goods, not further specified
521
Non-specialized retail trade in stores
522
Retail sale of food, beverages and tobacco in specialized stores
523
Other retail trade of new goods in specialized stores
524
Retail sale of second-hand goods in stores
525
Retail trade not in stores
526
Repair of personal and household goods
550
Hotels and restaurants, not further specified
551
Hotels, camping sites and other provision of short-stay accommodation
552
Restaurants, bars and canteens
600
Land transport, transport via pipelines, not further specified
601
Transport via railways
602
Other land transport
611
Sea and coastal water transport
612
Inland water transport
621
Scheduled air transport
622
Non-scheduled air transport
630
Supporting and auxiliary transport activities, activities of travel agencies
641
Post and courier activities
642
Telecommunications
651
Monetary intermediation
659
Other financial intermediation
660
Insurance and pension funding, except compulsory social security
671
Activities auxiliary to financial intermediation, except insurance and pension funding
672
Activities auxiliary to insurance and pension funding
700
Real estate activities
711
Renting of transport equipment
712
Renting of other machinery and equipment
713
Renting of personal and household goods n.e.c.
720
Computer and related activities, not further specified
721
Hardware consultancy
722
Software consultancy and supply
723
Data processing
724
Data base activities
725
Maintenance and repair of office, accounting and computing machinery
729
Other computer related activities
730
Research and development
740
Other business activities, not further specified
741
Legal, accounting, book-keeping and auditing activities, tax consultancy, market research and public opinion polling, business and management consultancy
742
Architectural, engineering and other technical activities
743
Advertising
749
Business activities n.e.c.
750
Public administration and defence, compulsory social security, not further specified
751
Administration of the State and the economic and social policy of the community
752
Provision of services to the community as a whole
753
Compulsory social security activities
800
Education, not further specified
801
Primary education
802
Secondary education
803
Higher education
809
Adult and other education
850
Health and social work, not further specified
851
Human health activities
852
Veterinary activities
853
Social work activities
900
Sewage and refuse disposal, sanitation and similar activities
910
Activities of membership organizations n.e.c., not further specified
911
Activities of business, employers, and professional organizations
912
Activities of trade unions
919
Activities of other membership organizations
920
Recreational, cultural, and sporting activities, not further specified
921
Motion picture, radio, television and other entertainment activities
922
News agency activities
923
Library, archives, museums and other cultural activities
924
Sporting and other recreational activities
930
Other service activities
950
Private households with employed persons
990
Extra-territorial organizations and bodies
998
Unknown
999
NIU (not in universe)
This variable indicates the person's industry (ISIC rev 3, 3 digits).
Work: Industry Variables -- PERSON
IPUMS
Type of employment
Type of employment
Type of employment
Type of employment
Type of employment
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
69. In this job, you are?
[Question 69 was asked of persons age 14 or older who worked last week or had a job or business to return to, as per questions 62, 63, and 64.]
[] 1 Working for a wage/salary in the private sector (go to question 72)
[] 2 Working for a wage/salary in the public sector
[] 3 Member of a production cooperative (go to question 75)
[] 4 Employer (go to question 75)
[] 5 Self-employed without physical facilities or investment (go to question 75)
[] 6 Self-employed with physical facilities or investment (go to question 75)
[] 7 Household member not receiving wage/salary (go to question 75)
[] 8 Participating in a work public program (go to question 75)
Persons age 14+ working or with a job
NIU (not in universe)
1
Salaried, private sector
2
Salaried, public sector
3
Member of production cooperative
4
Employer
5
Self-employed, without capital
6
Self-employed, with capital
7
Not receiving wage/salary
8
Public work program participant
9
Unknown
This variable indicates the person's type of employment.
Work Variables -- PERSON
IPUMS
Area of public sector work
Area of public sector work
Area of public sector work
Area of public sector work
Area of public sector work
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
70. Where in the public sector do you work?
[Question 70 was asked of persons age 14 or older who worked for a wage in the public sector, as per question 69.]
[] 1 Central government
[] 2 Public entities in the 220 category
[] 3 Autonomous entities and decentralized services
[] 4 Department governments
[] 5 Other
Persons age 14+ with dependent work in the public sector
NIU (not in universe)
1
Central government
2
Public entities in 220 category
3
Autonomous/decentralized services
4
Departmental government
5
Other
This variable indicates the person's area of work in the public sector.
Work Variables -- PERSON
IPUMS
Type of work contract
Type of work contract
Type of work contract
Type of work contract
Type of work contract
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
71. What kind of work contract do you have?
[Question 71 was asked of persons age 14 or older who worked for a wage in the public sector, as per question 69.]
[] 1 Official the public budget
[] 2 Under contract for a public function
[] 3 Seasonal worker [zafral]
[] 4 Under a scholarship or internship
[] 5 Under contract for a project [arrendamiento de obra]
([If you work in the public sector,] go to question 76)
Persons age 14+ with dependent work in the public sector
NIU (not in universe)
1
In the public budget
2
Public contractor
3
Seasonal worker
4
Under scholarship/internship
5
Project-based worker
This variable indicates the person's type of work contract.
Work Variables -- PERSON
IPUMS
Employer same as establishment worked for
Employer same as establishment worked for
Employer same as establishment worked for
Employer same as establishment worked for
Employer same as establishment worked for
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
72. The establishment that you work for, is it part of the firm that hires you?
[Question 72 was asked of persons age 14 or older who worked for a wage in the private sector, as per question 69.]
[] 1 Yes (go to question 74)
[] 2 No
Persons age 14+ with dependent work in the private sector
NIU (not in universe)
1
Yes
2
No
This variable indicates whether employer is the same as establishment the person worked for.
Work Variables -- PERSON
IPUMS
Industry of employer (ISIC rev 3, 3 digits)
Industry of employer (ISIC rev 3, 3 digits)
Industry of employer (ISIC rev 3, 3 digits)
Industry of employer (ISIC rev 3, 3 digits)
Industry of employer (ISIC rev 3, 3 digits)
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
73. What does the firm that hires you do or produce?
[Question 73 was asked of persons age 14 or older who worked for a wage in the private sector and is not a part of the firm that hired the person, as per questions 69 and 72.]
________ _ _ _ _
Persons age 14+ with dependent work in the private sector hired by different employer
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
20
Forestry, logging and related service activities
50
Fishing, operation of fish hatcheries and fish farms, service activities incidental to fishing
151
Production, processing and preservation of meat, fish, fruit, vegetables, oils and fats
152
Manufacture of dairy products
153
Manufacture of grain mill products, starches and starch products, and prepared animal feeds
154
Manufacture of other food products
155
Manufacture of beverages
160
Manufacture of tobacco products
173
Manufacture of knitted and crocheted fabrics and articles
181
Manufacture of wearing apparel, except fur apparel
191
Tanning and dressing of leather, manufacture of luggage, handbags, saddlery and harness
192
Manufacture of footwear
201
Sawmilling and planing of wood
202
Manufacture of products of wood, cork, straw and plaiting materials
210
Manufacture of paper and paper products
221
Publishing
241
Manufacture of basic chemicals
242
Manufacture of other chemical products
269
Manufacture of non-metallic mineral products n.e.c.
281
Manufacture of fabricated metal products, except machinery and equipment
291
Manufacture of general purpose machinery
292
Manufacture of special purpose machinery
293
Manufacture of domestic appliances n.e.c.
310
Manufacture of electrical machinery and apparatus n.e.c.
320
Manufacture of radio, television and communication equipment and apparatus
330
Manufacture of medical, precision and optical instruments, watches and clocks
351
Building and repairing of ships and boats
353
Manufacture of aircraft and spacecraft
401
Production, collection and distribution of electricity
410
Collection, purification and distribution of water
450
Construction, not further specified
452
Building of complete constructions or parts thereof, civil engineering
453
Building installation
454
Building completion
455
Renting of construction or demolition equipment with operator
502
Maintenance and repair of motor vehicles
511
Wholesale on a fee or contract basis
512
Wholesale of agricultural raw materials, live animals, food, beverages and tobacco
513
Wholesale of household goods
514
Wholesale of non-agricultural intermediate products, waste and scrap
515
Wholesale of machinery, equipment and supplies
519
Other wholesale
521
Non-specialized retail trade in stores
522
Retail sale of food, beverages and tobacco in specialized stores
523
Other retail trade of new goods in specialized stores
525
Retail trade not in stores
526
Repair of personal and household goods
551
Hotels, camping sites and other provision of short-stay accommodation
552
Restaurants, bars and canteens
601
Transport via railways
602
Other land transport
611
Sea and coastal water transport
621
Scheduled air transport
630
Supporting and auxiliary transport activities, activities of travel agencies
641
Post and courier activities
642
Telecommunications
651
Monetary intermediation
659
Other financial intermediation
660
Insurance and pension funding, except compulsory social security
672
Activities auxiliary to insurance and pension funding
700
Real estate activities
711
Renting of transport equipment
712
Renting of other machinery and equipment
722
Software consultancy and supply
725
Maintenance and repair of office, accounting and computing machinery
730
Research and development
740
Other business activities, not further specified
741
Legal, accounting, book-keeping and auditing activities, tax consultancy, market research and public opinion polling, business and management consultancy
742
Architectural, engineering and other technical activities
743
Advertising
749
Business activities n.e.c.
751
Administration of the State and the economic and social policy of the community
753
Compulsory social security activities
800
Education, not further specified
801
Primary education
802
Secondary education
803
Higher education
809
Adult and other education
851
Human health activities
852
Veterinary activities
853
Social work activities
900
Sewage and refuse disposal, sanitation and similar activities
910
Activities of membership organizations n.e.c., not further specified
911
Activities of business, employers, and professional organizations
912
Activities of trade unions
919
Activities of other membership organizations
920
Recreational, cultural, and sporting activities, not further specified
921
Motion picture, radio, television and other entertainment activities
923
Library, archives, museums and other cultural activities
924
Sporting and other recreational activities
930
Other service activities
950
Private households with employed persons
990
Extra-territorial organizations and bodies
998
Unknown
999
NIU (not in universe)
This variable indicates the industry of person's employer (ISIC rev 3, 3 digits).
Work Variables -- PERSON
IPUMS
Right to Christmas bonus
Right to Christmas bonus
Right to Christmas bonus
Right to Christmas bonus
Right to Christmas bonus
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
74. In this job, do you have the right to receive the Christmas bonus wage/salary [aguinaldo]?
[Question 74 was asked of persons age 14 or older who worked for a wage in the private sector, as per question 69.]
[] 1 Yes
[] 2 No
Persons age 14+ with dependent work in the private sector
NIU (not in universe)
1
Yes
2
No
This variable indicates the person's right to Christmas bonus.
Work Variables -- PERSON
IPUMS
Number of employees
Number of employees
Number of employees
Number of employees
Number of employees
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
75. How many persons work in the firm or institution?
[Question 75 was asked of persons age 14 or older who worked in a non-public sector, as per questions 69 and 71.]
[] 1 One person
[] 2 2 to 4 persons
[] 3 5 to 9 persons
[] 4 10 to 49 persons
[] 5 50 or more persons
Persons age 14+ with work in the private sector
NIU (not in universe)
1
One person
2
2-4 persons
3
5-9 persons
4
10-49 persons
5
50+ persons
This variable indicates the number of employees in the establishment the person is working for.
Work Variables -- PERSON
IPUMS
Place of employment
Place of employment
Place of employment
Place of employment
Place of employment
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
76. Where do you perform your job?
[] 1 In a fixed place (commercial establishment, workshop, or office)
[] 2 In your dwelling
[] 3 Delivery of services to client's dwelling
[] 4 In the street, in a fixed stand or place
[] 5 In the street, in a mobile stand
[] 6 In the street, travelling (paperwork, sales)
[] 7 In the street, in ground, air, or sea transport
[] 8 In a farm or in the sea
Persons age 14+ working or with a job
NIU (not in universe)
1
Fixed place
2
In own dwelling
3
At client's dwelling
4
In street, fixed stand/place
5
In street, mobile stand
6
In street, traveling
7
In transport
8
At a farm or at sea
9
Unknown
This variable indicates the person's location of employment.
Work Variables -- PERSON
IPUMS
Job in same department
Job in same department
Job in same department
Job in same department
Job in same department
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
77. Is your job in this department?
[] 1 Yes
[] 2 No
In which department? (specify) ________ _ _
[] 3 In other country
Persons age 14+ working or with a job
NIU (not in universe)
1
Same department
2
Other department
3
Other country
8
Unknown
This variable indicates whether the person's job is in the same department.
Work Variables -- PERSON
IPUMS
Contributes to pension fund
Contributes to pension fund
Contributes to pension fund
Contributes to pension fund
Contributes to pension fund
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
78. Do you contribute to a pension fund for this job?
[] 1 Yes
[] 2 No (go to question 81)
Persons age 14+ working or with a job
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person contributes to a pension fund.
Work Variables -- PERSON
IPUMS
Type of pension fund
Type of pension fund
Type of pension fund
Type of pension fund
Type of pension fund
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
79. Which pension fund do you contribute to?
[Question 79 was asked of persons who contributed to a pension fund, as per question 78.]
[] 1 BPS [social security institution]
[] 2 BPS [social security institution] and AFAP [pension fund manager]
[] 3 Police
[] 4 Army
[] 5 Professional
[] 6 Public notary
[] 7 Banking
Persons age 14+ working or with a job and contributing to pension fund
NIU (not in universe)
1
BPS (social security)
2
BPS (social security) and AFAP (pension fund manager)
3
Police
4
Army
5
Professional
6
Public notary
7
Banking
8
Unknown
This variable indicates the person's type of pension fund that is contributing to.
Work Variables -- PERSON
IPUMS
Pension contribution from total salary
Pension contribution from total salary
Pension contribution from total salary
Pension contribution from total salary
Pension contribution from total salary
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
80. Only if the respondent is working for a salary/wage in the private sector, do you contribute part of your total salary/wage in this job?
[Question 80 was asked of salaried persons in the private sector who contributed to a pension, as per questions 69 and 78.]
[] 1 Yes
[] 2 No
Persons age 14+ with dependent work in the private sector contributing to pension
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person's contribution to pension fund is based on total salary.
Work Variables -- PERSON
IPUMS
Hours worked per week
Hours worked per week
Hours worked per week
Hours worked per week
Hours worked per week
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
81. How many hours per week do you usually work in this job? _ _
Persons age 14+ working or with a job
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
998
Unknown
This variable indicates person's hours worked per week.
Work Variables -- PERSON
IPUMS
Number of months at current job
Number of months at current job
Number of months at current job
Number of months at current job
Number of months at current job
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
82. How long ago did you begin working in this firm or business, in a continuous way? If it is less than a year, record the months.
_ _ Months
_ _ Years
Persons age 14+ working or with a job
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
31
31
34
34
35
35
36
36
38
38
40
40
45
45
48
48
50
50
53
53
57
57
58
58
60
60
63
63
64
64
70
70
72
72
80
80
99
NIU (not in universe)
This variable indicates the person's number of months at current job.
Work Variables -- PERSON
IPUMS
Number of years at current job
Number of years at current job
Number of years at current job
Number of years at current job
Number of years at current job
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
82. How long ago did you begin working in this firm or business, in a continuous way? If it is less than a year, record the months.
_ _ Months
_ _ Years
Persons age 14+ working or with a job
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
70
70
76
76
80
80
86
86
88
88
91
91
93
93
94
94
97
97
98
98
99
NIU (not in universe)
This variable indicates the person's number of years at current job.
Work Variables -- PERSON
IPUMS
Number of occupation changes in last 3 years
Number of occupation changes in last 3 years
Number of occupation changes in last 3 years
Number of occupation changes in last 3 years
Number of occupation changes in last 3 years
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
83. In the last three years, how many times did you change your main occupation?
_ Indicate the number if it is fewer than five times
[] 6 More than five
Persons age 14+ working or with a job
1
1
2
2
3
3
4
4
5
5
6
6 or more
8
Unknown
9
NIU (not in universe)
This variable indicates the person's number of occupation changes in last 3 years.
Work Variables -- PERSON
IPUMS
Been unemployed in past year
Been unemployed in past year
Been unemployed in past year
Been unemployed in past year
Been unemployed in past year
F. Work activity
Only for persons age 14 or older
F.2 Characteristics of the main job
84. In the last 12 months, have you been unemployed?
[] 1 Yes
[] 2 No
Persons age 14+ working or with a job
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has been unemployed in past year.
Work Variables -- PERSON
IPUMS
Occupation in second job
Occupation in second job
Occupation in second job
Occupation in second job
Occupation in second job
F. Work activity
Only for persons age 14 or older
F.3 Characteristics of the secondary job
85. What activities do you perform in your other job? In other words, what is your second occupation?
________ _ _ _ _
Persons age 14+ with secondary job
This variable indicates the person's occupation in second job.
This is a 4-digit numeric variable with 0 implied decimal places
Work: Occupation Variables -- PERSON
IPUMS
Occupation in second job
Occupation in second job
Occupation in second job
Occupation in second job
Occupation in second job
F. Work activity
Only for persons age 14 or older
F.3 Characteristics of the secondary job
85. What activities do you perform in your other job? In other words, what is your second occupation?
________ _ _ _ _
Persons age 14+ with secondary job
This variable indicates the person's occupation in second job.
This is a 3-digit numeric variable with 0 implied decimal places
Work: Occupation Variables -- PERSON
IPUMS
Industry in second job
Industry in second job
Industry in second job
Industry in second job
Industry in second job
F. Work activity
Only for persons age 14 or older
F.3 Characteristics of the secondary job
86. What does the establishment that you work for produce or do?
________ _ _ _ _
Persons age 14+ with secondary job
This variable indicates person's industry in second job.
This is a 4-digit numeric variable with 0 implied decimal places
Work: Industry Variables -- PERSON
IPUMS
Industry in second job
Industry in second job
Industry in second job
Industry in second job
Industry in second job
F. Work activity
Only for persons age 14 or older
F.3 Characteristics of the secondary job
86. What does the establishment that you work for produce or do?
________ _ _ _ _
Persons age 14+ with secondary job
This variable indicates person's industry in second job.
This is a 3-digit numeric variable with 0 implied decimal places
Work: Industry Variables -- PERSON
IPUMS
Type of employment in second job
Type of employment in second job
Type of employment in second job
Type of employment in second job
Type of employment in second job
F. Work activity
Only for persons age 14 or older
F.3 Characteristics of the secondary job
87. In your other job, you are?
[] 1 Working for a wage/salary in the private sector
[] 2 Working for a wage/salary in the public sector
[] 3 Member of a production cooperative
[] 4 Employer
[] 5 Self-employed without physical facilities or investment
[] 6 Self-employed with physical facilities or investment
[] 7 Household member not receiving wage/salary
Persons age 14+ with secondary job
NIU (not in universe)
1
Salaried, private sector
2
Salaried, public sector
3
Member of production cooperative
4
Employer
5
Self-employed, without capital
6
Self-employed, with capital
7
Not receiving wage/salary
This variable indicates the person's type of employment in second job.
Work Variables -- PERSON
IPUMS
Number of employees in second job
Number of employees in second job
Number of employees in second job
Number of employees in second job
Number of employees in second job
F. Work activity
Only for persons age 14 or older
F.3 Characteristics of the secondary job
88. How many persons work in the firm or institution?
[] 1 One person
[] 2 2 to 4 persons
[] 3 5 to 9 persons
[] 4 10 to 49 persons
[] 5 50 or more persons
Persons age 14+ with secondary job
NIU (not in universe)
1
One person
2
2-4 persons
3
5-9 persons
4
10-49 persons
5
50+ persons
This variable indicates the number of employees working at the establishment of second job.
Work Variables -- PERSON
IPUMS
Seeking other job
Seeking other job
Seeking other job
Seeking other job
Seeking other job
F. Work activity
Only for persons age 14 or older
F.4 Search of other jobs for those employed
94. Even though you are employed, are you looking for another job?
[] 1 Yes
[] 2 No (go to question 97)
Persons age 14+ working or with a job
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has been seeking other job.
Work Variables -- PERSON
IPUMS
Goal in seeking other job
Goal in seeking other job
Goal in seeking other job
Goal in seeking other job
Goal in seeking other job
F. Work activity
Only for persons age 14 or older
F.4 Search of other jobs for those employed
95. Are you looking for another job to change your current job or complement it?
[Question 95 was asked of employed persons who were looking for another job, as per question 94.]
[] 1 Change
[] 2 Complement
Persons age 14+ working or with a job and seeking another job
NIU (not in universe)
1
To change from current job
2
To complement current job
This variable indicates person's goal in seeking other job.
Work Variables -- PERSON
IPUMS
Reason for seeking other job
Reason for seeking other job
Reason for seeking other job
Reason for seeking other job
Reason for seeking other job
F. Work activity
Only for persons age 14 or older
F.4 Search of other jobs for those employed
96. Why do you want another job?
[Question 96 was asked of employed persons who were looking for another job, as per question 94.]
[] 1 More income
[] 2 Work more hours (go to question 98)
[] 3 Work fewer hours (go to section F.7)
[] 4 A job more appropriate according to your studies
[] 5 Current job is not stable
[] 6 To improve working conditions (distance to household, working environment, etc.)
[] 7 Other
Persons age 14+ working or with a job and seeking another job
NIU (not in universe)
1
More income
2
Work more hours
3
Work less hours
4
More appropriate job field
5
Current job is unstable
6
Improve working conditions
7
Other
This variable indicates the person's reason for seeking other job.
Work Variables -- PERSON
IPUMS
Desire to work more hours
Desire to work more hours
Desire to work more hours
Desire to work more hours
Desire to work more hours
F. Work activity
Only for persons age 14 or older
F.4 Search of other jobs for those employed
97. Do you want to work more hours?
[Question 97 was asked of employed persons who are not looking for job or whose reason for wanting another job is not the number of hours of work, as per questions 94 and 96.]
[] 1 Yes
[] 2 No (go to section F.7)
Persons age 14+ working or with a job
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates person's desire to work more hours.
Work Variables -- PERSON
IPUMS
Available to work more hours
Available to work more hours
Available to work more hours
Available to work more hours
Available to work more hours
F. Work activity
Only for persons age 14 or older
F.4 Search of other jobs for those employed
98. Are you available to work for more hours?
[Question 98 was asked of employed persons who wanted to work more hours, as per question 97.]
[] 1 Yes
[] 2 No (go to section F.7)
Persons age 14+ with work but desiring to work more hours
NIU (not in universe)
1
Yes
2
No
This variable indicates the person's availability to work more hours.
Work Variables -- PERSON
IPUMS
Reason for not working more hours
Reason for not working more hours
Reason for not working more hours
Reason for not working more hours
Reason for not working more hours
F. Work activity
Only for persons age 14 or older
F.4 Search of other jobs for those employed
99. Why you do not work usually more hours per week?
[Question 99 was asked of employed persons who wanted to and were available to work more hours, as per questions 97 and 98.]
[] 1 Respondent is studying
[] 2 Health reasons
[] 3 Family or personal reasons
[] 4 Does not find more work
Persons age 14+ working, desiring and available to work more hours
NIU (not in universe)
1
Busy studying
2
Health
3
Family/personal
4
Has not found more work
This variable indicates the person's reason for not working more hours.
Work Variables -- PERSON
IPUMS
Activities pursued in seeking more hours
Activities pursued in seeking more hours
Activities pursued in seeking more hours
Activities pursued in seeking more hours
Activities pursued in seeking more hours
F. Work activity
Only for persons age 14 or older
F.4 Search of other jobs for those employed
100. What did you do mostly to work more hours per week?
[Question 100 was asked of employed persons who wanted to and were available to work more hours, as per questions 97 and 98.]
[] 1 Posted or replied to postings in newspapers, etc.
[] 2 Consulted to work agencies
[] 3 Consulted directly to an employer
[] 4 Consulted to friends or relatives
[] 5 Did paperwork, applied for loans, looked for a working place or field
[] 6 Nothing
[If you are employed,] (Go to section F.7)
Persons age 14+ working, desiring and available to work more hours
NIU (not in universe)
1
Replied to job postings
2
Consulted work agencies
3
Consulted employers directly
4
Consulted friends/relatives
5
Other specified activities
6
Nothing
This variable indicates what activities were pursued in seeking to work more hours.
Work Variables -- PERSON
IPUMS
Availability to work
Availability to work
Availability to work
Availability to work
Availability to work
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
101. Are you available to begin working?
[Question 101 was asked of persons age 14 or older who were unemployed, as per questions 62, 63, and 64.]
[] 1 Yes, right now
[] 2 Yes, in a different time this year
[] 3 No
Persons age 14+ without a job
NIU (not in universe)
1
Yes, right now
2
Yes, at another time of year
3
No
8
Unknown
This variable indicates person's availability to work (for those currently unemployed).
Work Variables -- PERSON
IPUMS
Looked for job in past week
Looked for job in past week
Looked for job in past week
Looked for job in past week
Looked for job in past week
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
102. During the last week, did you looked for a job or tried to create your own business?
[Question 102 was asked of persons age 14 or older who were unemployed, as per questions 62, 63 and 64.]
[] 1 Yes (go to question 105)
[] 2 No
Persons age 14+ without a job
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether an unemployed person looked for job in past week.
Work Variables -- PERSON
IPUMS
Reason not looking for job
Reason not looking for job
Reason not looking for job
Reason not looking for job
Reason not looking for job
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
103. Why you did not look for a job or tried to create your own business?
[Question 103 was asked of persons age 14 or older who were not looking for job last week, as per question 102.]
[] 1 Physically disabled
[] 2 Has a job that will begin in the next 30 days
[] 3 Waiting for the result of applications already submitted
[] 4 Searched for a job before, did not find one, and stopped looking
[] 5 No particular reason
Persons age 14+ without a job and not looking for a job
NIU (not in universe)
1
Physically disabled
2
Already has job starting in next month
3
Waiting for application results
4
Previous unsuccessful search
5
None
8
Unknown
This variable indicates the person's reason not looking for job (for those currently unemployed).
Work Variables -- PERSON
IPUMS
Looked for job in past month
Looked for job in past month
Looked for job in past month
Looked for job in past month
Looked for job in past month
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
104. Even though you did not look for a job or try to create your own business during the last week, did you look for a job or try to do it in the last four weeks?
[Question 104 was asked of persons age 14 or older who were not looking for job last week, as per question 102.]
[] 1 Yes
[] 2 No (go to section F.6)
Persons age 14+ without a job and not looking for a job
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether an unemployed person looked for a job in past month.
Work Variables -- PERSON
IPUMS
Activities pursued in job seeking
Activities pursued in job seeking
Activities pursued in job seeking
Activities pursued in job seeking
Activities pursued in job seeking
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
105. What did you do mostly to look for job or create your own business?
[Question 105 was asked of unemployed persons age 14 or older who were looking for job in the last four weeks, as per questions 102 and 104.]
[] 1 Posted or replied to postings in newspapers, etc.
[] 2 Consulted to work agencies
[] 3 Consulted directly to an employer
[] 4 Consulted to friends or relatives
[] 5 Did paperwork, applied for loans, looked for a working place or field
[] 6 Nothing (go to section F.6)
Persons age 14+ without a job and looking for a job
NIU (not in universe)
1
Replied to job postings
2
Consulted work agencies
3
Consulted employers directly
4
Consulted friends/relatives
5
Other specified activities
6
Nothing
This variable indicates the activities pursued in job seeking (for those currently unemployed).
Work Variables -- PERSON
IPUMS
Looked for a job with special conditions
Looked for a job with special conditions
Looked for a job with special conditions
Looked for a job with special conditions
Looked for a job with special conditions
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
106. Do you look for a job under special conditions?
[Question 106 was asked of unemployed persons age 14 or older who were looking for job in the last four weeks, as per questions 102 and 104.]
[] 1 Yes
[] 2 No (go to question 108)
Persons age 14+ without a job and looking for a job
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the unemployed person looked for a job with special conditions.
Work Variables -- PERSON
IPUMS
Principal special condition desired
Principal special condition desired
Principal special condition desired
Principal special condition desired
Principal special condition desired
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
107 What is the main condition that you require when you are looking for a job?
[Question 107 was asked of unemployed persons age 14 or older who were looking for job under special conditions in the last four weeks, as per questions 102, 104 and 106.]
[] 1 Reduced working hours
[] 2 Special schedules
[] 3 Something that fits your knowledge or experience
[] 4 Wage/salary
[] 5 Conditions of the working place or personal conditions
Persons age 14+ without a job and looking for a job with special conditions
NIU (not in universe)
1
Reduced working hours
2
Special work schedule
3
Specific job field
4
Wage/salary
5
Workplace or personal conditions
This variable indicates the principal special condition desired when looking for a job (for those currently unemployed).
Work Variables -- PERSON
IPUMS
Number of weeks looking for job
Number of weeks looking for job
Number of weeks looking for job
Number of weeks looking for job
Number of weeks looking for job
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
108. How long have you been looking for a job?
[Question 108 was asked of unemployed persons age 14 or older who were looking for job in the last four weeks, as per questions 102 and 104.]
_ _ Weeks
If answered less than 24 week go to question 110.
Persons age 14+ without a job and looking for a job
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
34
34
35
35
36
36
40
40
42
42
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
58
58
60
60
64
64
70
70
72
72
75
75
76
76
78
78
80
80
81
81
84
84
86
86
88
88
90
90
92
92
96
96
98
98
99
99
This variable indicates the number of weeks looking for job (for those currently unemployed).
Work Variables -- PERSON
IPUMS
Took concrete actions during unemployment
Took concrete actions during unemployment
Took concrete actions during unemployment
Took concrete actions during unemployment
Took concrete actions during unemployment
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
109. If answered 24 or more weeks, during all this time, did you take any concrete actions?
[Question 109 was asked of unemployed persons age 14 or older who had been looking for job for m24 or more weeks, as per questions 102, 104, and 108.]
[] 1 Yes
[] 2 No
Persons age 14+ without a job and looking for a job for 24 or more weeks
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person took concrete actions during unemployment.
Work Variables -- PERSON
IPUMS
Temporary job during unemployment
Temporary job during unemployment
Temporary job during unemployment
Temporary job during unemployment
Temporary job during unemployment
F. Work activity
Only for persons age 14 or older
64 Even though you did not work last week, do you have a job or business that you are going back to for sure?
[Question 64 was asked of persons age 14 or older who worked less than one hour last week, as per questions 62 and 63.]
[] 1 Yes
[] 2 No (go to section F.5)
F.5 Search of a job for those unemployed
110. During this time, did you perform any temporary job?
[Question 110 was asked of unemployed persons age 14 or older who were looking for job in the last four weeks, as per questions 102 and 104.]
[] 1 Yes
[] 2 No
Persons age 14+ without a job and looking for a job
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person had a temporary job during unemployment.
Work Variables -- PERSON
IPUMS
Previously worked
Previously worked
Previously worked
Previously worked
Previously worked
F. Work activity
Only for persons age 14 or older
F.6 Previous jobs for unemployed
111. Did you work before?
[Question 111 was asked of persons age 14 or older who were unemployed, as per questions 62, 63 and 64.]
[] 1 Yes
[] 2 No (go to section F.7)
Persons age 14+ without a job
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person previously worked (for those currently unemployed).
Work Variables -- PERSON
IPUMS
Receiving unemployment benefits
Receiving unemployment benefits
Receiving unemployment benefits
Receiving unemployment benefits
Receiving unemployment benefits
F. Work activity
Only for persons age 14 or older
F.6 Previous jobs for unemployed
112. Are you receiving unemployment benefits?
[Question 112 was asked of unemployed persons who had worked before, as per question 111.]
[] 1 Yes
[] 2 No
Persons age 14+ without a job who previously worked
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person is receiving unemployment benefits.
Work Variables -- PERSON
IPUMS
Months since last job
Months since last job
Months since last job
Months since last job
Months since last job
F. Work activity
Only for persons age 14 or older
F.6 Previous jobs for unemployed
113. With respect to your last job, how long since you cease working there? If it is less than a year, register the number of months.
[Question 113 was asked of unemployed persons who had worked before, as per question 111.]
_ _ Months
_ _ Years
Persons age 14+ without a job who previously worked
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
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
30
30
32
32
33
33
34
34
35
35
36
36
37
37
40
40
45
45
51
51
60
60
62
62
69
69
99
NIU (not in universe)
This variable indicates the person's months since last job.
Work Variables -- PERSON
IPUMS
Years since last job
Years since last job
Years since last job
Years since last job
Years since last job
F. Work activity
Only for persons age 14 or older
F.6 Previous jobs for unemployed
113. With respect to your last job, how long since you cease working there? If it is less than a year, register the number of months.
[Question 113 was asked of unemployed persons who had worked before, as per question 111.]
_ _ Months
_ _ Years
Persons age 14+ without a job who previously worked
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
73
73
74
74
75
75
78
78
95
95
98
98
99
NIU (not in universe)
This variable indicates the person's years since last job.
Work Variables -- PERSON
IPUMS
Occupation of last job
Occupation of last job
Occupation of last job
Occupation of last job
Occupation of last job
F. Work activity
Only for persons age 14 or older
F.6 Previous jobs for unemployed
114. What activities did you perform on this job? In other words, what was your occupation?
[Question 114 was asked of unemployed persons who had worked before, as per question 111.]
________ _ _ _ _
Persons age 14+ without a job who previously worked
This variable indicates the person's occupation of last job.
This is a 4-digit numeric variable with 0 implied decimal places
Work: Occupation Variables -- PERSON
IPUMS
Industry of last job
Industry of last job
Industry of last job
Industry of last job
Industry of last job
F. Work activity
Only for persons age 14 or older
F.6 Previous jobs for unemployed
115. What did the establishment that you work for produce or do?
[Question 115 was asked of unemployed persons who had worked before, as per question 111.]
________ _ _ _ _
Persons age 14+ without a job who previously worked
This variable indicates the person's industry of last job.
This is a 4-digit numeric variable with 0 implied decimal places
Work: Industry Variables -- PERSON
IPUMS
Type of employment in last job
Type of employment in last job
Type of employment in last job
Type of employment in last job
Type of employment in last job
F. Work activity
Only for persons age 14 or older
F.6 Previous jobs for unemployed
116. In this occupation, you were?
[Question 116 was asked of unemployed persons who had worked before, as per question 111.]
[] 1 Working for a wage/salary in the private sector
[] 2 Working for a wage/salary in the public sector
[] 3 Member of a production cooperative
[] 4 Employer
[] 5 Self-employed without physical facilities or investment
[] 6 Self-employed with physical facilities or investment
[] 7 Household member not receiving wage/salary
Persons age 14+ without a job who previously worked
NIU (not in universe)
1
Salaried, private sector
2
Salaried, public sector
3
Member of production cooperative
4
Employer
5
Self-employed, without capital
6
Self-employed, with capital
7
Not receiving wage/salary
8
Unknown
This variable indicates the person's type of employment in last job.
Work Variables -- PERSON
IPUMS
Reason for leaving last job
Reason for leaving last job
Reason for leaving last job
Reason for leaving last job
Reason for leaving last job
F. Work activity
Only for persons age 14 or older
F.6 Previous jobs for unemployed
117. Why did you leave this job?
[Question 117 was asked of unemployed persons who had worked before, as per question 111.]
[] 1 Fired
[] 2 Establishment closed
[] 3 Contract ended
[] 4 Seasonal job [zafra] ended
[] 5 Inadequate wage/salary
[] 6 Study reasons
[] 7 Family reasons
[] 8 Retired
[] 9 Other reasons (resignation)
Persons age 14+ without a job who previously worked
NIU (not in universe)
1
Fired
2
Establishment closed
3
Contract ended
4
Seasonal job ended
5
Inadequate wage/salary
6
To study
7
Family reasons
8
Retired
9
Other
98
Unkown
This variable indicates the person's reason for leaving last job.
Work Variables -- PERSON
IPUMS
Contributed to pension fund in last job
Contributed to pension fund in last job
Contributed to pension fund in last job
Contributed to pension fund in last job
Contributed to pension fund in last job
F. Work activity
Only for persons age 14 or older
F.6 Previous jobs for unemployed
118. In this job, did you contribute to a pension fund?
[Question 118 was asked of unemployed persons who had worked before, as per question 111.]
[] 1 Yes
[] 2 No
Persons age 14+ without a job who previously worked
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person contributed to pension fund in last job.
Work Variables -- PERSON
IPUMS
Retired
Retired
Retired
Retired
Retired
F. Work activity
Only for persons age 14 or older
F.7 For all persons age 14 or older
[Questions 119-120.]
119. Are you?
Retired
[] 1 Yes
[] 2 No
Pensioner
[] 1 Yes
[] 2 No
Rentier
[] 1 Yes
[] 2 No
Student
[] 1 Yes
[] 2 No
The person who does household chores
[] 1 Yes
[] 2 No
Persons age 14+
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person is retired.
Work Variables -- PERSON
IPUMS
Pensioner
Pensioner
Pensioner
Pensioner
Pensioner
F. Work activity
Only for persons age 14 or older
F.7 For all persons age 14 or older
[Questions 119-120.]
119. Are you?
Retired
[] 1 Yes
[] 2 No
Pensioner
[] 1 Yes
[] 2 No
Rentier
[] 1 Yes
[] 2 No
Student
[] 1 Yes
[] 2 No
The person who does household chores
[] 1 Yes
[] 2 No
Persons age 14+
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person is a pensioner.
Work Variables -- PERSON
IPUMS
Rentier
Rentier
Rentier
Rentier
Rentier
F. Work activity
Only for persons age 14 or older
F.7 For all persons age 14 or older
[Questions 119-120.]
119. Are you?
Retired
[] 1 Yes
[] 2 No
Pensioner
[] 1 Yes
[] 2 No
Rentier
[] 1 Yes
[] 2 No
Student
[] 1 Yes
[] 2 No
The person who does household chores
[] 1 Yes
[] 2 No
Persons age 14+
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person is a rentier.
Work Variables -- PERSON
IPUMS
Student
Student
Student
Student
Student
F. Work activity
Only for persons age 14 or older
F.7 For all persons age 14 or older
[Questions 119-120.]
119. Are you?
Retired
[] 1 Yes
[] 2 No
Pensioner
[] 1 Yes
[] 2 No
Rentier
[] 1 Yes
[] 2 No
Student
[] 1 Yes
[] 2 No
The person who does household chores
[] 1 Yes
[] 2 No
Persons age 14+
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person is a student.
Work Variables -- PERSON
IPUMS
Does household duties
Does household duties
Does household duties
Does household duties
Does household duties
F. Work activity
Only for persons age 14 or older
F.7 For all persons age 14 or older
[Questions 119-120.]
119. Are you?
Retired
[] 1 Yes
[] 2 No
Pensioner
[] 1 Yes
[] 2 No
Rentier
[] 1 Yes
[] 2 No
Student
[] 1 Yes
[] 2 No
The person who does household chores
[] 1 Yes
[] 2 No
Persons age 14+
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person does household duties.
Work Variables -- PERSON
IPUMS
Type of pension received
Type of pension received
Type of pension received
Type of pension received
Type of pension received
F. Work activity
Only for persons age 14 or older
F.7 For all persons age 14 or older
[Questions 119-120.]
120. If you are pensioner, what type of pension do you receive?
[] 1 Elderly pension
[] 2 Survival pension
[] 3 Disability pension
[] 4 Pension from abroad
Persons age 14+ who receive a pension
NIU (not in universe)
1
Elderly pension
2
Survival pension
3
Disability pension
4
Pension from abroad
This variable indicates the person's type of pension received.
Work Variables -- PERSON
IPUMS
Sampling weight (month)
Sampling weight (month)
Sampling weight (month)
Sampling weight (month)
Sampling weight (month)
Sampling weight (month)
All persons
This variable indicates the person sampling weight (month).
This is a 3-digit numeric variable with 0 implied decimal places
Other Person Variables -- PERSON
IPUMS
Sampling weight (trimester)
Sampling weight (trimester)
Sampling weight (trimester)
Sampling weight (trimester)
Sampling weight (trimester)
Sampling weight (trimester)
All persons
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
41
41
42
42
43
43
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
74
74
75
75
76
76
88
88
89
89
91
91
92
92
99
99
100
100
102
102
103
103
104
104
105
105
106
106
134
134
135
135
145
145
146
146
155
155
156
156
180
180
181
181
182
182
183
183
This variable indicates the person sampling weight (trimester).
Other Person Variables -- PERSON
IPUMS
Sampling weight (semester)
Sampling weight (semester)
Sampling weight (semester)
Sampling weight (semester)
Sampling weight (semester)
Sampling weight (semester)
All persons
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
37
37
38
38
44
44
45
45
48
48
49
49
50
50
52
52
53
53
69
69
70
70
71
71
72
72
90
90
91
91
This variable indicates the person sampling weight (semester).
Other Person Variables -- PERSON
IPUMS
Sampling weight (year)
Sampling weight (year)
Sampling weight (year)
Sampling weight (year)
Sampling weight (year)
Sampling weight (year)
All persons
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
23
23
24
24
25
25
26
26
27
27
35
35
36
36
45
45
46
46
This variable indicates the person sampling weight (year).
Other Person Variables -- PERSON
IPUMS
Net wage/salary
Net wage/salary
Net wage/salary
Net wage/salary
Net wage/salary
G.1 Income for dependent employees
G.1.1 Main occupation
121. How much did you receive last month in the job giving you the most income?
_ _ _ _ _ _ Net wage or salary
_ _ _ _ _ _ Commissions, incentives, extra hours, allowance
_ _ _ _ _ _ Per diem expenditures not needing a report
_ _ _ _ _ _ Tips
_ _ _ _ _ _ Christmas wage/salary bonus
_ _ _ _ _ _ Vacations wage/salary bonus
_ _ _ _ _ _ Back wages
_ _ _ _ _ _ Transportation
All persons
This variable indicates the person's net wage/salary received during last month.
This is a 6-digit numeric variable with 0 implied decimal places
Income Variables -- PERSON
IPUMS
Has pasture rights
Has pasture rights
Has pasture rights
Has pasture rights
Has pasture rights
G.1 Income for dependent employees
G.1.1 Main occupation
128. (Only for the agricultural worker) In your workplace, do you have grazing rights?
[] 1 Yes
[] 2 No
(If answered "Yes")
How many cows? _ _ _ _
How many sheep? _ _ _ _
How many horses? _ _ _ _
Persons age 14+ in dependent agricultural work
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person has pasture rights in agricultural job.
Other Person Variables -- PERSON
IPUMS
Number of cows
Number of cows
Number of cows
Number of cows
Number of cows
G.1 Income for dependent employees
G.1.1 Main occupation
128. (Only for the agricultural worker) In your workplace, do you have grazing rights?
[] 1 Yes
[] 2 No
(If answered "Yes")
How many cows? _ _ _ _
How many sheep? _ _ _ _
How many horses? _ _ _ _
Persons age 14+ in dependent agricultural work with pasture rights
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
38
38
40
40
41
41
42
42
43
43
44
44
45
45
48
48
49
49
50
50
51
51
52
52
56
56
58
58
60
60
65
65
68
68
70
70
72
72
75
75
80
80
86
86
88
88
90
90
94
94
98
98
100
100
108
108
115
115
120
120
138
138
160
160
170
170
197
197
200
200
210
210
240
240
300
300
999
NIU (not in universe)
This variable indicates the number of cows if person has pasture rights in agricultural job.
Other Person Variables -- PERSON
IPUMS
Number of sheep
Number of sheep
Number of sheep
Number of sheep
Number of sheep
G.1 Income for dependent employees
G.1.1 Main occupation
128. (Only for the agricultural worker) In your workplace, do you have grazing rights?
[] 1 Yes
[] 2 No
(If answered "Yes")
How many cows? _ _ _ _
How many sheep? _ _ _ _
How many horses? _ _ _ _
Persons age 14+ in dependent agricultural work with pasture rights
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
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
40
40
44
44
45
45
50
50
52
52
55
55
60
60
64
64
65
65
67
67
70
70
73
73
80
80
85
85
87
87
100
100
102
102
104
104
105
105
114
114
120
120
125
125
130
130
134
134
140
140
143
143
150
150
160
160
163
163
190
190
200
200
210
210
220
220
250
250
260
260
270
270
300
300
315
315
320
320
350
350
400
400
417
417
450
450
480
480
500
500
1200
1200
9999
NIU (not in universe)
This variable indicates the number of sheep if the person has pasture rights in agricultural job.
Other Person Variables -- PERSON
IPUMS
Number of horses
Number of horses
Number of horses
Number of horses
Number of horses
G.1 Income for dependent employees
G.1.1 Main occupation
128. (Only for the agricultural worker) In your workplace, do you have grazing rights?
[] 1 Yes
[] 2 No
(If answered "Yes")
How many cows? _ _ _ _
How many sheep? _ _ _ _
How many horses? _ _ _ _
Persons age 14+ in dependent agricultural work with pasture rights
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
23
23
24
24
25
25
26
26
30
30
32
32
34
34
40
40
50
50
64
64
99
NIU (not in universe)
This variable indicates the number of horses if the person has pasture rights in agricultural job.
Other Person Variables -- PERSON
IPUMS
Has crop growing rights for own consumption
Has crop growing rights for own consumption
Has crop growing rights for own consumption
Has crop growing rights for own consumption
Has crop growing rights for own consumption
G.1 Income for dependent employees
G.1.1 Main occupation
129. (Only for the agricultural worker) In your workplace, do you have the right to grow crops for your own consumption?
[] 1 Yes
[] 2 No
(If answered "Yes") If the last month you had to pay for these crops, how much would you need to pay?
_ _ _ _ _ _
Persons age 14+ in dependent agricultural work
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person has crop growing rights for own consumption in agricultural job.
Other Person Variables -- PERSON
IPUMS
Estimated value of crops consumed
Estimated value of crops consumed
Estimated value of crops consumed
Estimated value of crops consumed
Estimated value of crops consumed
G.1 Income for dependent employees
G.1.1 Main occupation
129. (Only for the agricultural worker) In your workplace, do you have the right to grow crops for your own consumption?
[] 1 Yes
[] 2 No
(If answered "Yes") If the last month you had to pay for these crops, how much would you need to pay?
_ _ _ _ _ _
Persons age 14+ in dependent agricultural work who had crop growing rights for own consumption
1
1
20
20
30
30
40
40
50
50
60
60
80
80
100
100
120
120
125
125
150
150
180
180
200
200
240
240
250
250
260
260
280
280
299
299
300
300
350
350
400
400
450
450
500
500
560
560
600
600
650
650
660
660
700
700
736
736
740
740
750
750
795
795
800
800
880
880
900
900
1000
1000
1120
1120
1200
1200
1300
1300
1400
1400
1500
1500
1566
1566
1600
1600
1650
1650
1700
1700
1890
1890
2000
2000
2010
2010
2100
2100
2300
2300
2350
2350
2400
2400
2500
2500
2650
2650
2666
2666
2800
2800
3000
3000
3369
3369
3500
3500
3800
3800
4000
4000
4410
4410
6000
6000
6100
6100
7970
7970
8000
8000
8900
8900
13701
13701
14800
14800
17000
17000
18580
18580
20934
20934
25000
25000
27912
27912
99999
NIU (not in universe)
This variable indicates the estimated value of crops consumed in agricultural job during last month.
Other Person Variables -- PERSON
IPUMS
Receives family allowances
Receives family allowances
Receives family allowances
Receives family allowances
Receives family allowances
G.1 Income for dependent employees
G.3 Income from transferences
147. Do you receive family allowances?
[] 1 Yes
[] 2 No
(If answered "Yes")
How many? _ _
Did you declare those in your salary/wage?
[] 1 Yes
[] 2 No
How much did you receive the last time? _ _ _ _ _ _
Persons age 14+
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person receives family allowances.
Other Person Variables -- PERSON
IPUMS
Number of family allowances
Number of family allowances
Number of family allowances
Number of family allowances
Number of family allowances
G.1 Income for dependent employees
G.3 Income from transferences
147. Do you receive family allowances?
[] 1 Yes
[] 2 No
(If answered "Yes")
How many? _ _
Did you declare those in your salary/wage?
[] 1 Yes
[] 2 No
How much did you receive the last time? _ _ _ _ _ _
Persons receiving family allowances
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
13
13
24
24
32
32
99
NIU (not in universe)
This variable indicates the number of family allowances received.
Other Person Variables -- PERSON
IPUMS
Family allowances declared
Family allowances declared
Family allowances declared
Family allowances declared
Family allowances declared
G.1 Income for dependent employees
G.3 Income from transferences
147. Do you receive family allowances?
[] 1 Yes
[] 2 No
(If answered "Yes")
How many? _ _
Did you declare those in your salary/wage?
[] 1 Yes
[] 2 No
How much did you receive the last time? _ _ _ _ _ _
Persons receiving family allowances
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether family allowances received were declared in salary.
Other Person Variables -- PERSON
IPUMS
Received alimony or divorce settlement
Received alimony or divorce settlement
Received alimony or divorce settlement
Received alimony or divorce settlement
Received alimony or divorce settlement
G.1 Income for dependent employees
G.3 Income from transferences
148. Did you receive an alimentary pension or some contribution from divorce or separation?
[] 1 Yes
[] 2 No
(if answered "Yes")
How much did you receive last month?
_ _ _ _ _ _ From the country
_ _ _ _ _ _ From abroad
Persons age 14+
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether person received alimony or divorce settlement.
Other Person Variables -- PERSON
IPUMS
Number of parents emigrating, total
Number of parents emigrating, total
Number of parents emigrating, total
Number of parents emigrating, total
Number of parents emigrating, total
MI1. Did any one of the following family members go to live abroad since 1996 (inclusive) and did not return to live in Uruguay?
Parents
How many in total? _
How many were non-household members? _
Siblings
How many in total? _
How many were non-household members? _
Children
How many in total? _
How many were non-household members? _
Persons in fourth trimester
1
1
2
2
9
NIU (not in universe)
This variable indicates the person's total number of parents emigrating.
Other Person Variables -- PERSON
IPUMS
Number of parents emigrating, non-household members
Number of parents emigrating, non-household members
Number of parents emigrating, non-household members
Number of parents emigrating, non-household members
Number of parents emigrating, non-household members
MI1. Did any one of the following family members go to live abroad since 1996 (inclusive) and did not return to live in Uruguay?
Parents
How many in total? _
How many were non-household members? _
Siblings
How many in total? _
How many were non-household members? _
Children
How many in total? _
How many were non-household members? _
Persons in fourth trimester
1
1
2
2
9
NIU (not in universe)
This variable indicates the person's number of parents emigrating, only those who were non-household members.
Other Person Variables -- PERSON
IPUMS
Number of siblings emigrating, total
Number of siblings emigrating, total
Number of siblings emigrating, total
Number of siblings emigrating, total
Number of siblings emigrating, total
MI1. Did any one of the following family members go to live abroad since 1996 (inclusive) and did not return to live in Uruguay?
Parents
How many in total? _
How many were non-household members? _
Siblings
How many in total? _
How many were non-household members? _
Children
How many in total? _
How many were non-household members? _
Persons in fourth trimester
1
1
2
2
3
3
4
4
5
5
6
6
10
10
11
11
99
NIU (not in universe)
This variable indicates the person's total number of siblings emigrating.
Other Person Variables -- PERSON
IPUMS
Number of siblings emigrating, non-household members
Number of siblings emigrating, non-household members
Number of siblings emigrating, non-household members
Number of siblings emigrating, non-household members
Number of siblings emigrating, non-household members
MI1. Did any one of the following family members go to live abroad since 1996 (inclusive) and did not return to live in Uruguay?
Parents
How many in total? _
How many were non-household members? _
Siblings
How many in total? _
How many were non-household members? _
Children
How many in total? _
How many were non-household members? _
Persons in fourth trimester
1
1
2
2
3
3
4
4
5
5
11
11
99
NIU (not in universe)
This variable indicates the person's number of siblings emigrating, only those who were non-household members.
Other Person Variables -- PERSON
IPUMS
Number of children emigrating, total
Number of children emigrating, total
Number of children emigrating, total
Number of children emigrating, total
Number of children emigrating, total
MI1. Did any one of the following family members go to live abroad since 1996 (inclusive) and did not return to live in Uruguay?
Parents
How many in total? _
How many were non-household members? _
Siblings
How many in total? _
How many were non-household members? _
Children
How many in total? _
How many were non-household members? _
Persons in fourth trimester
1
1
2
2
3
3
4
4
5
5
6
6
8
8
99
NIU (not in universe)
This variable indicates the person's total number of children emigrating.
Fertility and Mortality Variables -- PERSON
IPUMS
Number of children emigrating, non-household members
Number of children emigrating, non-household members
Number of children emigrating, non-household members
Number of children emigrating, non-household members
Number of children emigrating, non-household members
MI1. Did any one of the following family members go to live abroad since 1996 (inclusive) and did not return to live in Uruguay?
Parents
How many in total? _
How many were non-household members? _
Siblings
How many in total? _
How many were non-household members? _
Children
How many in total? _
How many were non-household members? _
Persons in fourth trimester
1
1
2
2
3
3
4
4
6
6
8
8
99
NIU (not in universe)
This variable indicates the person's number of children emigrating, only those who were non-household members.
Fertility and Mortality Variables -- PERSON
IPUMS
Place lived immediately after birth
Place lived immediately after birth
Place lived immediately after birth
Place lived immediately after birth
Place lived immediately after birth
MI2. Where did you go to live immediately after birth?
[] 1 In this locality or place
[] In another locality or place of this department:
Locality _____________ _ _ _
[] In another department
Department ___________ _ _
Locality _____________ _ _ _
[] In another country
Country ___________ _ _
Persons in fourth trimester
NIU (not in universe)
1
This locality
2
Other locality, same department
3
Other department
4
Other country
8
Unknown
This variable indicates the place where the person lived immediately after birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
Locality lived after birth, same department
Locality lived after birth, same department
Locality lived after birth, same department
Locality lived after birth, same department
Locality lived after birth, same department
MI2. Where did you go to live immediately after birth?
[] 1 In this locality or place
[] In another locality or place of this department:
Locality _____________ _ _ _
[] In another department
Department ___________ _ _
Locality _____________ _ _ _
[] In another country
Country ___________ _ _
Persons in fourth trimester who lived in other locality in same department after birth
NIU (not in universe)
20
20
120
120
220
220
221
221
320
320
321
321
322
322
323
323
421
421
422
422
423
423
452
452
521
521
522
522
523
523
524
524
525
525
526
526
527
527
528
528
530
530
621
621
622
622
623
623
624
624
625
625
626
626
627
627
628
628
629
629
630
630
631
631
632
632
633
633
695
695
721
721
722
722
723
723
724
724
725
725
726
726
727
727
729
729
730
730
732
732
733
733
790
790
792
792
797
797
798
798
821
821
822
822
823
823
824
824
825
825
826
826
827
827
828
828
829
829
830
830
831
831
832
832
833
833
834
834
835
835
836
836
837
837
839
839
840
840
882
882
894
894
896
896
900
900
914
914
922
922
923
923
924
924
925
925
926
926
927
927
928
928
929
929
930
930
931
931
932
932
933
933
934
934
935
935
937
937
938
938
939
939
940
940
941
941
942
942
943
943
944
944
945
945
946
946
947
947
948
948
949
949
951
951
952
952
954
954
955
955
956
956
958
958
959
959
960
960
961
961
962
962
963
963
964
964
965
965
966
966
968
968
969
969
970
970
971
971
972
972
979
979
980
980
987
987
990
990
991
991
993
993
This variable indicates the person's locality of residence after birth, if it was located in the same department.
Migration Variables -- PERSON
IPUMS
Department lived after birth
Department lived after birth
Department lived after birth
Department lived after birth
Department lived after birth
MI2. Where did you go to live immediately after birth?
[] 1 In this locality or place
[] In another locality or place of this department:
Locality _____________ _ _ _
[] In another department
Department ___________ _ _
Locality _____________ _ _ _
[] In another country
Country ___________ _ _
Persons in fourth trimester who lived in other department after birth
NIU (not in universe)
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
98
Unknown
This variable indicates the person's department of residence after birth.
Migration Variables -- PERSON
IPUMS
Locality lived after birth, different department
Locality lived after birth, different department
Locality lived after birth, different department
Locality lived after birth, different department
Locality lived after birth, different department
MI2. Where did you go to live immediately after birth?
[] 1 In this locality or place
[] In another locality or place of this department:
Locality _____________ _ _ _
[] In another department
Department ___________ _ _
Locality _____________ _ _ _
[] In another country
Country ___________ _ _
Persons in fourth trimester who lived in other department after birth
NIU (not in universe)
20
20
120
120
220
220
221
221
320
320
321
321
322
322
323
323
421
421
422
422
423
423
521
521
522
522
523
523
524
524
525
525
526
526
527
527
528
528
621
621
622
622
623
623
624
624
625
625
626
626
627
627
628
628
629
629
630
630
631
631
632
632
633
633
695
695
721
721
722
722
723
723
724
724
725
725
726
726
729
729
730
730
732
732
733
733
790
790
797
797
798
798
821
821
822
822
823
823
824
824
825
825
826
826
827
827
828
828
829
829
831
831
832
832
833
833
834
834
835
835
836
836
840
840
882
882
894
894
896
896
900
900
921
921
922
922
923
923
924
924
925
925
926
926
927
927
928
928
929
929
930
930
931
931
932
932
933
933
935
935
937
937
938
938
939
939
940
940
941
941
942
942
943
943
944
944
945
945
946
946
949
949
950
950
952
952
954
954
955
955
956
956
957
957
958
958
959
959
960
960
964
964
965
965
966
966
969
969
970
970
971
971
973
973
985
985
987
987
991
991
994
994
998
998
This variable indicates the person's locality of residence after birth, if it was in a different department.
Migration Variables -- PERSON
IPUMS
Lived in locality for entire life
Lived in locality for entire life
Lived in locality for entire life
Lived in locality for entire life
Lived in locality for entire life
MI3. How much time has it been since you live without interruption in this city or locality?
[] 1 Always lived here (go to MG1)
[] Not always lived here
[] Number of years living here _ _
[] Living here less than 1 year "00"
Persons in fourth trimester
NIU (not in universe)
1
Always lived here
2
Not always lived here
8
Unknown
This variable indicates whether the person lived in the same locality for her/his entire life.
Migration Variables -- PERSON
IPUMS
Years lived in this locality
Years lived in this locality
Years lived in this locality
Years lived in this locality
Years lived in this locality
MI3. How much time has it been since you live without interruption in this city or locality?
[] 1 Always lived here (go to MG1)
[] Not always lived here
[] Number of years living here _ _
[] Living here less than 1 year "00"
Persons in fourth trimester who did not live always in the locality
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
88
88
90
90
92
92
93
93
95
95
99
NIU (not in universe)
This variable indicates the number of years the person lived in this locality.
Migration Variables -- PERSON
IPUMS
Last place lived
Last place lived
Last place lived
Last place lived
Last place lived
Last place lived
Persons in fourth trimester who did not live always in the locality
NIU (not in universe)
1
Uruguay
2
Another country
This variable indicates whether the person's last place of residence was in a different locality in Uruguay or a different country.
Other Person Variables -- PERSON
IPUMS
Last place lived - department
Last place lived - department
Last place lived - department
Last place lived - department
Last place lived - department
MI4. Where did you live before moving to reside in this city or locality?
[Question MI4 was asked of persons who have ever lived outside of the current city or locality, as per question MI3.]
Department ____________ _ _
Locality ____________ _ _ _
In another country
Country ___________ _ _
(If only lived abroad, go to MI8)
Persons in fourth trimester who have lived in a different locality in Uruguay
NIU (not in universe)
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
98
Unknown
This variable indicates the last department where the person lived.
Migration Variables -- PERSON
IPUMS
Has lived abroad
Has lived abroad
Has lived abroad
Has lived abroad
Has lived abroad
MI5. Did you live abroad at some time?
[Question MI5 was asked of persons who have ever lived outside of the current city or locality within Uruguay, as per questions MI3 and MI4.]
[] 1 Yes
[] 2 No (go to MI9)
Persons in fourth trimester who previously lived in a different locality
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has lived abroad.
Migration Variables -- PERSON
IPUMS
Last country lived in
Last country lived in
Last country lived in
Last country lived in
Last country lived in
MI6. What was the last country in which you lived?
[Question MI6 was asked of persons who have ever lived outside of the current city or locality both in Uruguay and abroad, as per questions MI4 and MI5.]
[] 01 Argentina
[] 02 Brazil
[] 03 Mexico
[] 04 Spain
[] 05 Italy
[] 06 United States
[] 07 Australia
[] 08 Israel
[] Other ____________ (specify) _ _
Persons in the fourth trimester who previously lived abroad
NIU (not in universe)
1
Argentina
2
Brazil
3
Mexico
4
Spain
5
Italy
6
United States
7
Australia
9
Other
This variable indicates the person's last country lived in.
Migration Variables -- PERSON
IPUMS
Year returned to Uruguay
Year returned to Uruguay
Year returned to Uruguay
Year returned to Uruguay
Year returned to Uruguay
MI7. In what year did you return to Uruguay?
[Question MI7 was asked of persons who have ever lived outside of the current city or locality both in Uruguay and abroad, as per questions MI4 and MI5.]
_ _ _ _
Persons in the fourth trimester who previously lived abroad
NIU (not in universe)
1915
1915
1918
1918
1919
1919
1925
1925
1926
1926
1927
1927
1928
1928
1929
1929
1930
1930
1931
1931
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
9998
Unknown
This variable indicates the year returned to Uruguay, for those who ever lived abroad.
Migration Variables -- PERSON
IPUMS
Reason returned to Uruguay
Reason returned to Uruguay
Reason returned to Uruguay
Reason returned to Uruguay
Reason returned to Uruguay
MI8. What was the main reason that you returned or came to Uruguay?
[Question MI8 was asked of persons who have ever lived abroad, as per questions MI4 and MI5.]
(don't read the options)
[] 01 You weren't intended to stay (limited stay)
[] 02 You didn't find work
[] 03 The work you found wasn't appropriate to your qualification
[] 04 Family reasons
[] 05 Missing Uruguay
[] 06 Family member depended on migrant
[] 07 Other ________ (specify)
Only for those born abroad:
[] 08 Family member depended on migrant
[] 09 To settle in Uruguay
[] 10 To stay for limited time in Uruguay
Persons in the fourth trimester who previously lived abroad and born in Uruguay
NIU (not in universe)
1
Never intended to stay abroad
2
Didn't find work abroad
3
Work found didn't match qualifications
4
Family matters
5
Missed Uruguay
6
With dependent family member
7
Other
8
Unknown
This variable indicates the person's reason to return to Uruguay.
Migration Variables -- PERSON
IPUMS
Reason came to Uruguay - those born abroad
Reason came to Uruguay - those born abroad
Reason came to Uruguay - those born abroad
Reason came to Uruguay - those born abroad
Reason came to Uruguay - those born abroad
MI8. What was the main reason that you returned or came to Uruguay?
[Question MI8 was asked of persons who have ever lived abroad, as per questions MI4 and MI5.]
(don't read the options)
[] 01 You weren't intended to stay (limited stay)
[] 02 You didn't find work
[] 03 The work you found wasn't appropriate to your qualification
[] 04 Family reasons
[] 05 Missing Uruguay
[] 06 Family member depended on migrant
[] 07 Other ________ (specify)
Only for those born abroad:
[] 08 Family member depended on migrant
[] 09 To settle in Uruguay
[] 10 To stay for limited time in Uruguay
Persons in the fourth trimester who previously lived abroad and who were born abroad
NIU (not in universe)
1
With dependent family member
2
To settle in Uruguay
3
To stay for limited time in Uruguay
8
Unknown
This variable indicates the person's reason to come to Uruguay, for those born abroad.
Migration Variables -- PERSON
IPUMS
Place lived in 5 years ago
Place lived in 5 years ago
Place lived in 5 years ago
Place lived in 5 years ago
Place lived in 5 years ago
MI9. Where were you living five years ago (in 2001)?
[] 1 Wasn't born (go to F1)
[] 2 In this locality or place (go to F1)
[] In another locality or place of this department:
Locality _______ _ _ _
[] In another department
Department________ _ _
Locality_________ _ _ _
[] In another country
County________ _ _
(If resided abroad go to F1)
Persons age 6+ in fourth trimester who did not live always in the locality
NIU (not in universe)
1
In this locality
2
In other locality, same department
3
In other department
4
In other countrry
8
Unknown
This variable indicates the place where the person lived 5 years ago.
Migration Variables -- PERSON
IPUMS
Place lived in 5 years ago - department
Place lived in 5 years ago - department
Place lived in 5 years ago - department
Place lived in 5 years ago - department
Place lived in 5 years ago - department
MI9. Where were you living five years ago (in 2001)?
[] 1 Wasn't born (go to F1)
[] 2 In this locality or place (go to F1)
[] In another locality or place of this department:
Locality _______ _ _ _
[] In another department
Department________ _ _
Locality_________ _ _ _
[] In another country
County________ _ _
(If resided abroad go to F1)
Persons age 6+ in fourth trimester who did not live in this locality 5 years ago
NIU (not in universe)
1
Montevideo
2
Artigas
3
Canelones
4
Cerro Largo
5
Colonia
6
Durazno
7
Flores
8
Florida
9
Lavalleja
10
Maldonado
11
Paysandu
12
Rio Negro
13
Rivera
14
Rocha
15
Salto
16
San Jose
17
Soriano
18
Tacuarembo
19
Treinta Y Tres
This variable indicates the department where the person lived 5 years ago.
Migration Variables -- PERSON
IPUMS
Place lived in 5 years ago - locality, other department
Place lived in 5 years ago - locality, other department
Place lived in 5 years ago - locality, other department
Place lived in 5 years ago - locality, other department
Place lived in 5 years ago - locality, other department
MI9. Where were you living five years ago (in 2001)?
[] 1 Wasn't born (go to F1)
[] 2 In this locality or place (go to F1)
[] In another locality or place of this department:
Locality _______ _ _ _
[] In another department
Department________ _ _
Locality_________ _ _ _
[] In another country
County________ _ _
(If resided abroad go to F1)
Persons age 6+ in fourth trimester who did not live in this locality 5 years ago
NIU (not in universe)
20
20
120
120
220
220
221
221
320
320
321
321
322
322
323
323
421
421
422
422
423
423
521
521
522
522
523
523
524
524
525
525
526
526
527
527
621
621
622
622
624
624
625
625
626
626
627
627
628
628
631
631
633
633
721
721
722
722
723
723
724
724
725
725
729
729
732
732
733
733
790
790
797
797
821
821
822
822
823
823
824
824
827
827
828
828
830
830
831
831
832
832
834
834
835
835
900
900
921
921
923
923
925
925
926
926
928
928
929
929
931
931
933
933
938
938
939
939
943
943
949
949
955
955
957
957
959
959
965
965
966
966
969
969
970
970
985
985
987
987
This variable indicates the locality where the person lived 5 years ago, if it was in other department.
Migration Variables -- PERSON
IPUMS
Place lived in 5 years ago - country
Place lived in 5 years ago - country
Place lived in 5 years ago - country
Place lived in 5 years ago - country
Place lived in 5 years ago - country
MI9. Where were you living five years ago (in 2001)?
[] 1 Wasn't born (go to F1)
[] 2 In this locality or place (go to F1)
[] In another locality or place of this department:
Locality _______ _ _ _
[] In another department
Department________ _ _
Locality_________ _ _ _
[] In another country
County________ _ _
(If resided abroad go to F1)
Persons age 6+ in fourth trimester who did not live in this locality 5 years ago
NIU (not in universe)
30063
30063
30097
30097
30105
30105
30169
30169
30211
30211
30239
30239
30586
30586
30589
30589
31199
31199
32196
32196
35149
35149
35249
35249
35493
35493
40022
40022
40087
40087
40245
40245
40386
40386
40573
40573
40628
40628
60383
60383
70184
70184
70365
70365
80548
80548
90177
90177
This variable indicates the country where the person lived 5 years ago.
Migration Variables -- PERSON
IPUMS
Reason left locality lived in 5 years ago
Reason left locality lived in 5 years ago
Reason left locality lived in 5 years ago
Reason left locality lived in 5 years ago
Reason left locality lived in 5 years ago
MI10. What was the main reason that you left this locality? (Do not read the options)
[Question MI10 was asked of persons who lived in another locality in Uruguay, five years ago as per question MI9.]
[] 01 Didn't have work
[] 02 Other labor reasons
[] 03 Difficulty accessing health services
[] 04 Difficulty accessing education services
[] 05 Difficulty accessing housing
[] 06 Transportation, urban infrastructure problems
[] 07 Family reasons
[] 08 Family member depended on migrant
[] 09 Other, (specify) ________
Persons age 6+ in fourth trimester who lived in a different locality 5 years ago
NIU (not in universe)
1
No work
2
Other labor reasons
3
Difficulty accessing health services
4
Difficulty accessing education services
5
Difficulty accessing housing
6
Transportation/infrastructure problems
7
Family reasons
8
With dependent family member
9
Other
98
Unknown
This variable indicates the person's reason to leave the locality lived in 5 years ago.
Migration Variables -- PERSON
IPUMS
Type of educational center attended
Type of educational center attended
Type of educational center attended
Type of educational center attended
Type of educational center attended
[Questions ME1-ME4 were included in trimester 1 and trimester 3]
ME1. What type of educational center are you attending?
[Question ME1 was asked of persons who were currently attending pre-school to high school, as per questions 48 and 50.]
[] 1 CAIF [comprehensive care centers for children and the family] (every day) (go to section E.4)
[] 2 CAIF [comprehensive care centers for children and the family] (some days of the week) (go to section E.4)
[] 3 Nursery school (go to section E.4)
[] 4 Kindergarten or pre-school (go to section E.4)
[] 5 Primary school, regular schedule (go to question 56)
[] 6 Primary school, extended schedule (go to question 56)
[] 7 Special primary school (persons with disabilities, etc.) (go to question 56)
[] 8 High school, regular schedule (go to question 54)
[] 9 High school, double time (more than 6 hours) (go to question 54)
[] 10 Technical school (go to question 53)
Persons in first or third trimester currently attending primary or secondary education
NIU (not in universe)
1
CAIF, everyday
2
CAIF, some days
3
Day care
4
Kindergarten/preschool
5
Elementary, regular schedule
6
Elementary, extended hours
7
Elementary, special school
8
Secondary
9
Seconday, extended hours
10
Technical
98
Unknown
This variable indicates the type of educational center attended.
Education Variables -- PERSON
IPUMS
Preschool attendance
Preschool attendance
Preschool attendance
Preschool attendance
Preschool attendance
[Questions ME2, ME3, ME4 are only for persons age 6 to 17]
ME2. Did you attend pre-school or the CAIF [comprehensive care centers for children and the family]?
[] 1 CAIF
[] 2 Pre-school
[] 3 CAIF and pre-school
[] 4 None
Persons 6-17 in first or third trimester
NIU (not in universe)
1
CAIF
2
Preschool
3
CAiF and preschool
4
None
8
Unknown
This variable indicates whether the person attended preschool.
Education Variables -- PERSON
IPUMS
Repeated elementary school grade
Repeated elementary school grade
Repeated elementary school grade
Repeated elementary school grade
Repeated elementary school grade
[Questions ME2, ME3, ME4 are only for persons age 6 to 17]
ME3. Did you repeat any year in primary school?
[] 1 Yes, once
[] 2 Yes, more than once
[] 3 Never repeated
[] 4 It does not correspond, taking the first year of primary school for the first time
Persons 6-17 in first or third trimester
NIU (not in universe)
1
Yes, once
2
Yes, more than once
3
Never repeated
4
Not applicable -- in first year
8
Unknown
This variable indicates whether the person repeated an elementary school grade.
Education Variables -- PERSON
IPUMS
Repeated secondary school grade
Repeated secondary school grade
Repeated secondary school grade
Repeated secondary school grade
Repeated secondary school grade
[Questions ME2, ME3, ME4 are only for persons age 6 to 17]
ME4. Did you repeat any year in secondary school?
[] 1 Yes, once
[] 2 Yes, more than once
[] 3 Never repeated
[] 4 It does not correspond, did not get into high school or taking the first year for the first time
Persons 6-17 in first or third trimester
NIU (not in universe)
1
Yes, once
2
Yes, more than once
3
Never repeated
4
Not applicable -- in first year/never attended
8
Unknown
This variable indicates whether the person repeated a secondary school grade.
Education Variables -- PERSON
IPUMS
Number of nights per week in father's or mother's house
Number of nights per week in father's or mother's house
Number of nights per week in father's or mother's house
Number of nights per week in father's or mother's house
Number of nights per week in father's or mother's house
MF1. Only for minors younger than 18:
How many nights a week do you spend in the household of your father or mother?
Number of nights a week (note "0" if none) _
If "0" was noted:
[]Â 1 Father/mother died
[] 2 Does have contact with father/mother
[] 3 No contact with father/mother
[] 4 Father/mother lives in another department
[] 5 Father/mother lives abroad
Persons 17- in fourth trimester without both parents living at home
1
1
2
2
3
3
4
4
5
5
6
6
7
7
98
Unknown
99
NIU (not in universe)
This variable indicates the number of nights per week spent in father's or mother's house.
Other Person Variables -- PERSON
IPUMS
Type of contact with father/mother if child does not spend time at their household
Type of contact with father/mother if child does not spend time at their household
Type of contact with father/mother if child does not spend time at their household
Type of contact with father/mother if child does not spend time at their household
Type of contact with father/mother if child does not spend time at their household
MF1. Only for minors younger than 18:
How many nights a week do you spend in the household of your father or mother?
Number of nights a week (note "0" if none) _
If "0" was noted:
[]Â 1 Father/mother died
[] 2 Does have contact with father/mother
[] 3 No contact with father/mother
[] 4 Father/mother lives in another department
[] 5 Father/mother lives abroad
Persons 17- in fourth trimester not spending nights at either parent's house
NIU (not in universe)
1
Father/mother died
2
Does have contact with father/mother
3
No contact with father/mother
4
Father/mother lives in another department
5
Father/mother lives abroad
8
Unknown
This variable indicates the type of contact with father/mother if child does not spend time at their household.
Other Person Variables -- PERSON
IPUMS
Beginning year of cohabitation with current/last partner
Beginning year of cohabitation with current/last partner
Beginning year of cohabitation with current/last partner
Beginning year of cohabitation with current/last partner
Beginning year of cohabitation with current/last partner
MF3. In what year did the cohabitations with the current/last partner begin?
Year _ _ _ _
[] 98 unknown
Persons age 14+ in fourth trimester currently or previously married/cohabiting
NIU (not in universe)
1912
1912
1917
1917
1918
1918
1922
1922
1923
1923
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
9998
Unknown
This variable indicates the person's beginning year of cohabitation with current/last partner.
Other Person Variables -- PERSON
IPUMS
Ending year of cohabitation with last partner
Ending year of cohabitation with last partner
Ending year of cohabitation with last partner
Ending year of cohabitation with last partner
Ending year of cohabitation with last partner
MF4. In what year did this cohabitation with this last partner end?
Year _ _ _ _
[] 98 Unknown
[] 99 Not ended, continue together
Persons age 14+ in fourth trimester currently or previously married/cohabiting
NIU (not in universe)
1918
1918
1939
1939
1941
1941
1943
1943
1945
1945
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
9997
Not ended, continue together
9998
Unknown
This variable indicates the person's ending year of cohabitation with last partner.
Other Person Variables -- PERSON
IPUMS
Sight disability
Sight disability
Sight disability
Sight disability
Sight disability
MS1. Do you have permanent sight limitations, even when using glasses?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a sight disability.
Disability Variables -- PERSON
IPUMS
Hearing disability
Hearing disability
Hearing disability
Hearing disability
Hearing disability
MS2. Do you have permanent hearing limitations, even when using hearing aids?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a hearing disability.
Disability Variables -- PERSON
IPUMS
Mobility disability
Mobility disability
Mobility disability
Mobility disability
Mobility disability
MS3. Do you have permanent limitations walking, even when using canes, crutches, or prosthetics?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a mobility disability.
Disability Variables -- PERSON
IPUMS
Arms/hands disability
Arms/hands disability
Arms/hands disability
Arms/hands disability
Arms/hands disability
MS4. Do you have permanent limitations using your arms or hands?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has arms or hands disability.
Disability Variables -- PERSON
IPUMS
Speech disability
Speech disability
Speech disability
Speech disability
Speech disability
MS5. Do you have permanent speech limitations?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a speech disability.
Disability Variables -- PERSON
IPUMS
Mental/interpersonal disability
Mental/interpersonal disability
Mental/interpersonal disability
Mental/interpersonal disability
Mental/interpersonal disability
MS6a. Do you have permanent mental limitations that make it difficult to relate with others?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a mental/interpersonal disability.
Disability Variables -- PERSON
IPUMS
Learning disability
Learning disability
Learning disability
Learning disability
Learning disability
MS6b. Do you have permanent mental limitations that make learning difficult?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a learning disability.
Disability Variables -- PERSON
IPUMS
Receives psychological attention
Receives psychological attention
Receives psychological attention
Receives psychological attention
Receives psychological attention
MS7. Do you receive psychological attention?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person receives psychological attention.
Disability Variables -- PERSON
IPUMS
Under psychiatric treatment
Under psychiatric treatment
Under psychiatric treatment
Under psychiatric treatment
Under psychiatric treatment
MS8. Are you under psychiatric treatment?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person is under psychiatric treatment.
Disability Variables -- PERSON
IPUMS
Health condition - asthma
Health condition - asthma
Health condition - asthma
Health condition - asthma
Health condition - asthma
MS9. Do you have any of the following sicknesses?
Asthma
[] 1 Yes
[] 2 No
Hypertension
[] 1 Yes
[] 2 No
Diabetes
Insulin dependent
[] 1 Yes
[] 2 No
Not insulin dependent
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a health condition - asthma.
Other Person Variables -- PERSON
IPUMS
Health condition - hypertension
Health condition - hypertension
Health condition - hypertension
Health condition - hypertension
Health condition - hypertension
MS9. Do you have any of the following sicknesses?
Asthma
[] 1 Yes
[] 2 No
Hypertension
[] 1 Yes
[] 2 No
Diabetes
Insulin dependent
[] 1 Yes
[] 2 No
Not insulin dependent
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a health condition - hypertension.
Other Person Variables -- PERSON
IPUMS
Health condition - diabetes, insulin-dependent
Health condition - diabetes, insulin-dependent
Health condition - diabetes, insulin-dependent
Health condition - diabetes, insulin-dependent
Health condition - diabetes, insulin-dependent
MS9. Do you have any of the following sicknesses?
Asthma
[] 1 Yes
[] 2 No
Hypertension
[] 1 Yes
[] 2 No
Diabetes
Insulin dependent
[] 1 Yes
[] 2 No
Not insulin dependent
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a health condition - diabetes, insulin-dependent.
Other Person Variables -- PERSON
IPUMS
Health condition - diabetes, not insulin-dependent
Health condition - diabetes, not insulin-dependent
Health condition - diabetes, not insulin-dependent
Health condition - diabetes, not insulin-dependent
Health condition - diabetes, not insulin-dependent
MS9. Do you have any of the following sicknesses?
Asthma
[] 1 Yes
[] 2 No
Hypertension
[] 1 Yes
[] 2 No
Diabetes
Insulin dependent
[] 1 Yes
[] 2 No
Not insulin dependent
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person has a health condition - diabetes, not insulin-dependent.
Other Person Variables -- PERSON
IPUMS
Felt sick in last month
Felt sick in last month
Felt sick in last month
Felt sick in last month
Felt sick in last month
MS10. In the last 30 days, have you felt sick?
[] 1 Yes
[] 2 No (go to MS18)
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person felt sick in last month.
Other Person Variables -- PERSON
IPUMS
Forewent regular activities because of sickness
Forewent regular activities because of sickness
Forewent regular activities because of sickness
Forewent regular activities because of sickness
Forewent regular activities because of sickness
MS11. Did you have to give up any regular activities because of this problem (work, school, domestic tasks)?
[Question MS11 was asked of persons who felt sick in the last 30 days, as per question MS10.]
[] 1 Yes
[] 2 No
Persons in third trimester who felt sick last month
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person forewent regular activities because of sickness during last month.
Other Person Variables -- PERSON
IPUMS
Smoker
Smoker
Smoker
Smoker
Smoker
MS36. Do you smoke?
[] 1 Yes
[] 2 No
Persons in third trimester
NIU (not in universe)
1
Yes
2
No
8
Unknown
This variable indicates whether the person is a smoker.
Other Person Variables -- PERSON
IPUMS
Knows English
Knows English
Knows English
Knows English
Knows English
MT1. Do you know English?
[] 1 Yes
[] 2 No (go to MT4)
Persons in second trimester who are in the labor force
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person knows English.
Other Person Variables -- PERSON
IPUMS
Age at first employment
Age at first employment
Age at first employment
Age at first employment
Age at first employment
MT12. How old were you when you started to work in your first stable employment? (which lasted at least three months)
_ _
[] 99 You're looking for work for the first time
Persons in second trimester who are in the labor force
NIU (not in universe)
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
68
68
70
70
73
73
98
Unknown
99
Looking for first time
This variable indicates the age at first employment.
Other Person Variables -- PERSON
IPUMS
Satisfaction with job
Satisfaction with job
Satisfaction with job
Satisfaction with job
Satisfaction with job
MT13. Are you satisfied with your job?
[] 1 Very unsatisfied
[] 2 Unsatisfied
[] 3 Neither satisfied nor unsatisfied
[] 4 Satisfied
[] 5 Very satisfied
Persons in second trimester who are working
NIU (not in universe)
1
Very unsatisfied
2
Unsatisfied
3
Neither satisfied nor unsatisfied
4
Satisfied
5
Very satisfied
This variable indicates the person's satisfaction with job.
Other Person Variables -- PERSON
IPUMS
Means of work commute
Means of work commute
Means of work commute
Means of work commute
Means of work commute
MT14. What means of transportation do you use habitually to get to work?
[] 1 Public transportation
[] 2 Transportation paid by the company
[] 3 Motorcycle
[] 4 Bicycle
[] 5 Auto
[] 6 By foot
[] 7 By horse
[] 8 You don't need to travel (go to MT16)
Persons in the second trimester who are working
NIU (not in universe)
1
Public transportation
2
Transportation paid by employer
3
Motorcycle
4
Bicycle
5
Automobile
6
By foot
7
By horse
8
Don't need to commute
This variable indicates the person's means of work commute.
Other Person Variables -- PERSON
IPUMS
Commuting time to work (minutes)
Commuting time to work (minutes)
Commuting time to work (minutes)
Commuting time to work (minutes)
Commuting time to work (minutes)
MT15. How long does it take to go from your house to your place of work?
[Question MT15 was asked of persons who needed to travel to get to work, as per question MT14.]
_ _ _ (minutes)
Persons in the second trimester who are working and need to commute
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
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
30
30
32
32
35
35
36
36
40
40
45
45
48
48
50
50
52
52
53
53
55
55
56
56
58
58
59
59
60
60
65
65
66
66
70
70
75
75
80
80
85
85
90
90
95
95
100
100
103
103
105
105
106
106
107
107
110
110
120
120
123
123
130
130
135
135
140
140
145
145
150
150
153
153
154
154
156
156
160
160
165
165
170
170
180
180
190
190
203
203
206
206
208
208
210
210
230
230
240
240
250
250
252
252
260
260
270
270
300
300
301
301
303
303
306
306
307
307
310
310
360
360
400
400
403
403
420
420
450
450
460
460
480
480
600
600
603
603
606
606
720
720
856
856
998
998
This variable indicates the commuting time to work (in minutes).
Other Person Variables -- PERSON
IPUMS
Method by which current job obtained
Method by which current job obtained
Method by which current job obtained
Method by which current job obtained
Method by which current job obtained
MT16. How did you obtain your current job?
[] 1 Through a public program
[] 2 Through contacts obtained in a past job
[] 3 Through friends or family
[] 4 Through members of clubs, churches, unions, or other organizations
[] 5 Through the institution where you were trained
[] 6 Through a private placement agency, from a direct consultation with employers, a contest
[] 7 You decided to work on your own
[] 8 Other
Persons in second trimester who are working
NIU (not in universe)
1
Public program
2
Contacts from past job
3
Friends/family
4
Other members in organization
5
Institution where trained
6
Private placement/direct to employer
7
Own worker
8
Other
This variable indicates the method by which current job was obtained.
Other Person Variables -- PERSON
IPUMS
Usual hours worked per week
Usual hours worked per week
Usual hours worked per week
Usual hours worked per week
Usual hours worked per week
MT17. How many hours do you habitually work per week in your principal occupation? _ _
Persons in second trimester who are working
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
94
94
95
95
96
96
97
97
98
98
99
99
This variable indicates the person's usual hours worked per week.
Other Person Variables -- PERSON
IPUMS
Hours worked last week compared to average
Hours worked last week compared to average
Hours worked last week compared to average
Hours worked last week compared to average
Hours worked last week compared to average
MT18. Last week, did you work that number of hours or more or less? (Remember: even if you were absent from work only for a couple of hours)
[] 1 Yes
[] No
[] 2 Less
[] 3 More (go to MT21)
Persons in second trimester who are working
NIU (not in universe)
1
Same hours as average week
2
Less hours than average week
3
More hours than average week
This variable compares the hours worked last week to the average.
Other Person Variables -- PERSON
IPUMS
Speaking fluency in English
Speaking fluency in English
Speaking fluency in English
Speaking fluency in English
Speaking fluency in English
MT2. How well do you speak it?
[Question MT2 was asked of persons who knew English, as per question MT1.]
[] 1 Very well
[] 2 Well
[] 3 Regular
[] 4 Poorly
Persons in second trimester who are in the labor force and who speak English
NIU (not in universe)
1
Very well
2
Well
3
Average
4
Poor
8
Unknown
This variable indicates the person's speaking fluency in English.
Other Person Variables -- PERSON
IPUMS
Days of work per week
Days of work per week
Days of work per week
Days of work per week
Days of work per week
MT22. How many days per week do you work? _ _
Persons in second trimester who are working
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
Unknown
This variable indicates the person's usual days of work per week.
Other Person Variables -- PERSON
IPUMS
Days of leave in last year
Days of leave in last year
Days of leave in last year
Days of leave in last year
Days of leave in last year
MT23. How many days of leave were taken in the last 12 months? _ _
Persons in second trimester who are working
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
62
62
63
63
64
64
65
65
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
79
79
80
80
81
81
82
82
84
84
86
86
90
90
97
97
98
98
99
99
100
100
101
101
102
102
111
111
113
113
120
120
121
121
133
133
140
140
141
141
142
142
150
150
151
151
152
152
161
161
171
171
180
180
182
182
191
191
200
200
201
201
202
202
210
210
211
211
212
212
220
220
221
221
222
222
230
230
231
231
232
232
241
241
242
242
243
243
251
251
261
261
271
271
272
272
282
282
300
300
301
301
302
302
303
303
310
310
321
321
351
351
352
352
998
Unknown
999
NIU (not in universe)
This variable indicates the person's days of leave in last year.
Other Person Variables -- PERSON
IPUMS
Member of union/association
Member of union/association
Member of union/association
Member of union/association
Member of union/association
MT26. Are you a member of this union, association, or guild?
[Question MT26 was asked of persons who had union, workers association or professional association in the occupation that they worked, as per question MT24.]
[] 1 Yes
[] 2 No (go to MT29)
Persons in second trimester who have union/association at their workplace
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person is member of the union/association.
Other Person Variables -- PERSON
IPUMS
Writing fluency in English
Writing fluency in English
Writing fluency in English
Writing fluency in English
Writing fluency in English
MT3. How well do you write it?
[Question MT3 was asked of persons who knew English, as per question MT1.]
[] 1 Very well
[] 2 Well
[] 3 Regular
[] 4 Poorly
Persons in second trimester who are in the labor force and who speak English
NIU (not in universe)
1
Very well
2
Well
3
Average
4
Poor
8
Unknown
This variable indicates the person's writing fluency in English.
Other Person Variables -- PERSON
IPUMS
Responsibility - washing/ironing/cooking
Responsibility - washing/ironing/cooking
Responsibility - washing/ironing/cooking
Responsibility - washing/ironing/cooking
Responsibility - washing/ironing/cooking
MTI1. Last week, were you in charge of one of the following domestic tasks?
Washing, ironing, or cooking
[] 1 Yes
[] 2 No
Caring for younger children, sick people, or disabled people of the household
[] 1 Yes
[] 2 No
Cleaning and maintaining the household
[] 1 Yes
[] 2 No
Agriculture labors or care of animals
[] 1 Yes
[] 2 No
Doing chores/shopping
[] 1 Yes
[] 2 No
(If all answered "No", go to question MTI3)
Person age 5-17 in second trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person had responsibility of washing/ironing/cooking in the household.
Other Person Variables -- PERSON
IPUMS
Responsibility - caretaker
Responsibility - caretaker
Responsibility - caretaker
Responsibility - caretaker
Responsibility - caretaker
MTI1. Last week, were you in charge of one of the following domestic tasks?
Washing, ironing, or cooking
[] 1 Yes
[] 2 No
Caring for younger children, sick people, or disabled people of the household
[] 1 Yes
[] 2 No
Cleaning and maintaining the household
[] 1 Yes
[] 2 No
Agriculture labors or care of animals
[] 1 Yes
[] 2 No
Doing chores/shopping
[] 1 Yes
[] 2 No
(If all answered "No", go to question MTI3)
Person age 5-17 in second trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person had responsibility as a caretaker in the household.
Other Person Variables -- PERSON
IPUMS
Responsibility - housekeeping
Responsibility - housekeeping
Responsibility - housekeeping
Responsibility - housekeeping
Responsibility - housekeeping
MTI1. Last week, were you in charge of one of the following domestic tasks?
Washing, ironing, or cooking
[] 1 Yes
[] 2 No
Caring for younger children, sick people, or disabled people of the household
[] 1 Yes
[] 2 No
Cleaning and maintaining the household
[] 1 Yes
[] 2 No
Agriculture labors or care of animals
[] 1 Yes
[] 2 No
Doing chores/shopping
[] 1 Yes
[] 2 No
(If all answered "No", go to question MTI3)
Person age 5-17 in second trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person had responsibility of doing housekeeping.
Other Person Variables -- PERSON
IPUMS
Responsibility - agricultural/animal care
Responsibility - agricultural/animal care
Responsibility - agricultural/animal care
Responsibility - agricultural/animal care
Responsibility - agricultural/animal care
MTI1. Last week, were you in charge of one of the following domestic tasks?
Washing, ironing, or cooking
[] 1 Yes
[] 2 No
Caring for younger children, sick people, or disabled people of the household
[] 1 Yes
[] 2 No
Cleaning and maintaining the household
[] 1 Yes
[] 2 No
Agriculture labors or care of animals
[] 1 Yes
[] 2 No
Doing chores/shopping
[] 1 Yes
[] 2 No
(If all answered "No", go to question MTI3)
Person age 5-17 in second trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person had responsibility of agricultural/animal care in the household.
Other Person Variables -- PERSON
IPUMS
Responsibility - chores/shopping
Responsibility - chores/shopping
Responsibility - chores/shopping
Responsibility - chores/shopping
Responsibility - chores/shopping
MTI1. Last week, were you in charge of one of the following domestic tasks?
Washing, ironing, or cooking
[] 1 Yes
[] 2 No
Caring for younger children, sick people, or disabled people of the household
[] 1 Yes
[] 2 No
Cleaning and maintaining the household
[] 1 Yes
[] 2 No
Agriculture labors or care of animals
[] 1 Yes
[] 2 No
Doing chores/shopping
[] 1 Yes
[] 2 No
(If all answered "No", go to question MTI3)
Person age 5-17 in second trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person had responsibility of chores/shopping in the household.
Other Person Variables -- PERSON
IPUMS
Hours dedicated to home tasks
Hours dedicated to home tasks
Hours dedicated to home tasks
Hours dedicated to home tasks
Hours dedicated to home tasks
MTI2. How many hours did you dedicate (in total) to the tasks of the last week? _ _
Person age 5-17 in second trimester who had domestic work responsibilities
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
20
20
21
21
22
22
24
24
25
25
28
28
30
30
32
32
35
35
36
36
38
38
40
40
42
42
45
45
48
48
49
49
50
50
56
56
60
60
63
63
70
70
72
72
80
80
84
84
90
90
98
98
This variable indicates the person's hours dedicated to home tasks.
Other Person Variables -- PERSON
IPUMS
Hours dedicated to outside home activities
Hours dedicated to outside home activities
Hours dedicated to outside home activities
Hours dedicated to outside home activities
Hours dedicated to outside home activities
MTI4. How many hours did you dedicate last week to these activities? _ _
Person age 5-17 in second trimester who performed outside home activities
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
18
18
20
20
21
21
24
24
25
25
26
26
27
27
28
28
29
29
30
30
32
32
33
33
35
35
36
36
40
40
42
42
44
44
45
45
48
48
49
49
50
50
53
53
54
54
56
56
60
60
63
63
66
66
70
70
98
98
This variable indicates the person's hours dedicated to outside home activities.
Other Person Variables -- PERSON
IPUMS
Paid for outside home activities
Paid for outside home activities
Paid for outside home activities
Paid for outside home activities
Paid for outside home activities
MTI6. Did you receive some money for doing these tasks?
[] 1 Yes
[] 2 No (go to G)
How much?: _ _ _ _ _
Person age 5-17 in second trimester who performed outside home activities
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person was paid for outside home activities.
Other Person Variables -- PERSON
IPUMS
Compensation for outside home activities
Compensation for outside home activities
Compensation for outside home activities
Compensation for outside home activities
Compensation for outside home activities
MTI6. Did you receive some money for doing these tasks?
[] 1 Yes
[] 2 No (go to G)
How much?: _ _ _ _ _
Person age 5-17 in second trimester who were paid to perform outside home activities
NIU (not in universe)
1
1
5
5
6
6
10
10
12
12
15
15
20
20
25
25
30
30
35
35
40
40
50
50
57
57
60
60
70
70
75
75
80
80
90
90
100
100
120
120
140
140
150
150
160
160
170
170
180
180
200
200
210
210
220
220
240
240
250
250
256
256
280
280
300
300
350
350
360
360
365
365
400
400
448
448
450
450
480
480
500
500
540
540
600
600
700
700
720
720
740
740
750
750
800
800
840
840
900
900
1000
1000
1040
1040
1110
1110
1200
1200
1240
1240
1400
1400
1440
1440
1500
1500
1600
1600
1680
1680
1700
1700
1800
1800
1806
1806
2000
2000
2080
2080
2200
2200
2300
2300
2310
2310
2400
2400
2450
2450
2500
2500
2600
2600
2700
2700
2800
2800
2900
2900
2970
2970
3000
3000
3120
3120
3200
3200
3400
3400
3500
3500
3540
3540
3600
3600
3968
3968
4000
4000
4200
4200
4300
4300
4500
4500
4960
4960
5000
5000
5200
5200
6500
6500
6900
6900
8900
8900
11200
11200
This variable indicates the person's compensation for outside home activities.
Other Person Variables -- PERSON
IPUMS
Used PC in past 6 months
Used PC in past 6 months
Used PC in past 6 months
Used PC in past 6 months
Used PC in past 6 months
MTICS1. Did you utilize a PC in the past 6 months?
[] 1 Yes
[] 2 No (go to N)
Persons age 6+ in second trimester
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person used PC in past 6 months.
Other Person Variables -- PERSON
IPUMS
Used Internet in past 6 months
Used Internet in past 6 months
Used Internet in past 6 months
Used Internet in past 6 months
Used Internet in past 6 months
MTICS2. Did you use internet in the past 6 months?
[Question MTICS2 was asked of persons who had used a PC in the last 6 months, as per question MTICS1.]
[] 1 Yes
[] 2 No (go to N)
Persons age 6+ in second trimester who used PC in past 6 months
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the person used internet in past 6 months.
Other Person Variables -- PERSON
IPUMS
Location of Internet - at home
Location of Internet - at home
Location of Internet - at home
Location of Internet - at home
Location of Internet - at home
MTICS3. Where did you use internet in the last 6 months?
[Question MTICS3 was asked of persons who had used internet in the last 6 months, as per question MTICS2.]
At the household
[] 1 Yes
[] 2 No
At work
[] 1 Yes
[] 2 No
At school
[] 1 Yes
[] 2 No
At the household of a friend/neighbor
[] 1 Yes
[] 2 No
In a public center with direct access
[] 1 Yes
[] 2 No
In a cyber café
[] 1 Yes
[] 2 No
Persons age 6+ in second trimester who used internet in past 6 months
NIU (not in universe)
1
Yes
2
No
This variable indicates whether the location of Internet is at home.
Other Person Variables -- PERSON
IPUMS
Frequency of Internet
Frequency of Internet
Frequency of Internet
Frequency of Internet
Frequency of Internet
MTICS5. With what frequency did you use the internet in the last 6 months?
[Question MTICS5 was asked of persons who had used internet in the last 6 months, as per question MTICS2.]
(Select only one response)
[] 1 At least once per day
[] 2 At least once per week, but not everyday
[] 3 At least once per month, but not every week
[] 4 Less than once per month
[] 5 You don't know
Persons age 6+ in second trimester who used internet in past 6 months
NIU (not in universe)
1
Per day
2
Per week
3
Per month
4
Less than per month
5
Don't know
This variable indicates the person's frequency of Internet use.
Other Person Variables -- PERSON
IPUMS
Labor force status
Labor force status
Labor force status
Labor force status
Labor force status
Labor force status
Persons age 14+
NIU (not in universe)
1
Working
2
Not working, looking for work for the first time
3
Not working, worked before and not receiving unemployment benefits
4
Not working, worked before and receiving unemployment benefits
5
Inactive, domestic work
6
Inactive, student
7
Inactive, rentier
8
Inactive, pensioner
9
Inactive, retired
10
Inactive, other
98
Unknown
This variable indicates the person's labor force status.
Other Person Variables -- PERSON
IPUMS
Type of file
Type of file
Type of file
Type of file
Type of file
Type of file
All persons
i-file
1
m-file
This variable indicates the type of file.
Other Person Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
PERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Person Variables -- PERSON
IPUMS
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
Year of last birth
Year of last birth
Year of last birth
Year of last birth
Year of last birth
1900
1900
1901
1901
1902
1902
1903
1903
1904
1904
1905
1905
1906
1906
1907
1907
1908
1908
1909
1909
1910
1910
1911
1911
1912
1912
1913
1913
1914
1914
1915
1915
1916
1916
1917
1917
1918
1918
1919
1919
1920
1920
1921
1921
1922
1922
1923
1923
1924
1924
1925
1925
1926
1926
1927
1927
1928
1928
1929
1929
1930
1930
1931
1931
1932
1932
1933
1933
1934
1934
1935
1935
1936
1936
1937
1937
1938
1938
1939
1939
1940
1940
1941
1941
1942
1942
1943
1943
1944
1944
1945
1945
1946
1946
1947
1947
1948
1948
1949
1949
1950
1950
1951
1951
1952
1952
1953
1953
1954
1954
1955
1955
1956
1956
1957
1957
1958
1958
1959
1959
1960
1960
1961
1961
1962
1962
1963
1963
1964
1964
1965
1965
1966
1966
1967
1967
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1978
1978
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1988
1988
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
9998
Unknown
9999
NIU (not in universe)
LASTBYR indicates the year of birth of the last child borne by the respondent. The data refer to live births.
Fertility and Mortality 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, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
99
Unknown/missing
MIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available.
Migration Variables -- PERSON
IPUMS
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
Speaks English
Speaks English
Speaks English
Speaks English
Speaks English
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
SPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy.
Ethnicity and Language Variables -- PERSON
IPUMS
Month of last birth
Month of last birth
Month of last birth
Month of last birth
Month of last 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)
LASTBMO indicates the month of birth of the last child borne by the respondent. The data refer to live births.
Fertility and Mortality 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
Number of children living abroad
Number of children living abroad
Number of children living abroad
Number of children living abroad
Number of children living abroad
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10+
98
Unknown
99
NIU (not in universe)
ABROADCHD indicates the number of a woman's biological children who are living abroad, regardless of gender.
Fertility and Mortality Variables -- PERSON
IPUMS
Nativity status
Nativity status
Nativity status
Nativity status
Nativity status
NIU (not universe)
1
Native-born
2
Foreign-born
9
Unknown/missing
NATIVITY indicates whether the person was native- or foreign-born.
Nativity and Birthplace Variables -- PERSON
IPUMS
Year [person version]
Year [person version]
Year [person version]
Year [person version]
Year [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 4-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 9-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 10-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS
Country [person version]
Country [person version]
Country [person version]
Country [person version]
Country [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 3-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
[This file is just a placeholder. See the household version of the variable.]
This is a 1-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS