DDI_HUN_2001_PHC_v01_M_v02_A_IPUMS
Minnesota Population Center
Development Data Group
2016-04-25
NADA
Version 6.4 (April 2016): Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS-International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.
The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.
Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)
Population Census 2001 - IPUMS Subset
PHC 2001 (IPUMS Harmonized Subset)
HUN_2001_PHC_v01_M_v02_A_IPUMS
Hungarian Central Statistical Office
Minnesota Population Center
(c) Copyright 2001, Hungarian Central Statistical Office and Minnesota Population Center
NADA
Hungarian Central Statistical Office
Population and Housing Census [hh/popcen]
Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.
In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming.
In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.
Technical Household Variables -- HOUSEHOLD
Group Quarters Variables -- HOUSEHOLD
Geography: Global Variables -- HOUSEHOLD
Utilities Variables -- HOUSEHOLD
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Dwelling Characteristics Variables -- HOUSEHOLD
Constructed Household Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Constructed Family Interrelationship Variables -- PERSON
Demographic Variables -- PERSON
Fertility and Mortality Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Household Economic Variables -- HOUSEHOLD
Work: Occupation Variables -- PERSON
Work: Industry Variables -- PERSON
Other Person 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.
Hungary
National coverage
Type of locality
UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: Yes
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
- Special populations: No
UNIT DESCRIPTIONS:
- Dwellings: A unit of places and rooms with specific functions (living rooms, cooking places, sanitary places etc.) generally architecturally connected to each other and intended for human accommodation.
Resident population in private and collective living quarters
Census/enumeration data [cen]
MICRODATA SOURCE: Hungarian Central Statistical Office
SAMPLE DESIGN: Systematic sample of every 20th dwelling after a random start; drawn by the national statistical office
SAMPLE UNIT: Housing unit (dwelling)
SAMPLE FRACTION: 5%
SAMPLE SIZE (person records): 510,502
Face-to-face [f2f]
Dwelling questionnaire, person questionnaire, institutional building's and household's questionnaire
De jure, CENSUS DAY: February 1, 2001, FIELD WORK PERIOD: February 1-21, 2001
Interview by enumerator
Self-weighting (expansion factor = 20)
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 [Machine-readable database]. Minneapolis: University of Minnesota, 2015.
Researchers should also acknowledge the statistical agency that originally produced the data:
Hungary, Hungarian Central Statistical Office, Population census 2001
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.
HUN2001-H-H
Household record
0
58
HUN2001-P-H
Person records
0
85
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
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
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
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
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
Bathing facilities
Bathing facilities
Bathing facilities
Bathing facilities
Bathing facilities
NIU (not in universe)
1
No bathing facility
2
Have bathing facility, exclusivity not specified
3
Have bathing facility, exclusive use
4
Have bathing facility, shared use
9
Unknown
BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Household classification
Household classification
Household classification
Household classification
Household classification
Vacant household
1
One-person household
2
Married/cohab couple, no children
3
Married/cohab couple with children
4
Single-parent family
5
Polygamous family
6
Extended family, relatives only
7
Composite household, family and non-relatives
8
Non-family household
9
Unclassified subfamily
10
Other relative or non-relative household
11
Group quarters
99
Unclassifiable
HHTYPE is a constructed variable that describes the composition of households.
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Vacant household
1
1 family
2
2 families
3
3 families
4
4 families
5
5 families
6
6 families
7
7 families
8
8 families
9
9 or more families
NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Head's location in household
Head's location in household
Head's location in household
Head's location in household
Head's location in household
HEADLOC gives the person number of the head of household in samples in which persons are organized into households.
This is a 3-digit numeric variable with 0 implied decimal places
Constructed Household Variables -- HOUSEHOLD
IPUMS
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
All households
This variable indicates the dwelling number.
This is a 6-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)
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
This variable indicates the household number (within the 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 households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
This variable indicates the number of households in the 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 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
This variable indicates the number of persons in the 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 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
This variable indicates the number of persons in the household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Group quarters, inferred
Group quarters, inferred
Group quarters, inferred
Group quarters, inferred
Group quarters, inferred
Group quarters, inferred
All households
No
1
Persons lacked an input dwelling record, suggesting they are from a group quarters
This variable indicates whether the person can be inferred to be in group quarters.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of families in the dwelling
Number of families in the dwelling
Number of families in the dwelling
Number of families in the dwelling
Number of families in the dwelling
Number of families in the dwelling
All households
Vacant dwelling
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
This variable indicates the number of families in the dwelling.
Technical Household Variables -- HOUSEHOLD
IPUMS
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
Dwelling created by splitting apart a large dwelling or household
All households
No problem
1
Yes: households within a large dwelling were split apart into separate dwellings
2
Yes: persons within a large household were split apart into separate dwellings
This variable indicates whether the dwelling was created by splitting apart a large dwelling or household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Position of dwelling within the building
Position of dwelling within the building
Position of dwelling within the building
Position of dwelling within the building
Position of dwelling within the building
Place of enumeration
____ City or locality
____ District
____ Part of locality
____ Street, road, square, etc.
____ House number
____ Building
____ Staircase
____ Ground floor, floor
____ Door
Non-collective dwellings
Groundfloor, mezzanine
1
Floor 1
2
Floor 2
3
Floor 3
4
Floor 4
5
Floor 5
6
Floor 6
7
Floor 7
8
Floor 8
9
Floor 9
10
Floor 10
11
Floor 11
12
Floor 12
13
Floor 13
14
Floor 14
15
Floor 15
16
Floor 16+
31
Mansard, garret
32
Basement or cellar
99
NIU (not in universe)
This variable indicates the position of the dwelling within the building.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Type of building
Type of building
Type of building
Type of building
Type of building
1. The type of building
[] 1 Residential building
[] 2 Recreation building
[] 3 Occupied other building
[] 4 Collective living quarters (i.e. college, workers' hostel, social welfare home, hotel, pension)
[] 5 Occupied other premises
All households
1
Residential building
2
Holiday house
3
Inhabited other building (e.g. school, office building, factory, shopping house)
4
Institution (e.g. students' hostel, workers' home social home, hotel, pension)
5
Other occupied structure (hut, hovel, cara etc.)
9
Collective dwelling
This variable indicates the type of building.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Year of construction of building
Year of construction of building
Year of construction of building
Year of construction of building
Year of construction of building
2. When was the building built?
[] 900 Before 1900
[] 919 1900-1919
[] 944 1920-1944
[] 959 1945-1959
[] 969 1960-1969
[] 979 1970-1979
[] 989 1980-1989
[] In 199_
[] 000 In 2000
[] 001 In 2001
2. In the case of buildings used without usage permit, the year of construction is considered to be the date when the first occupant moved into the house. You have to mark the year or period of reconstruction if the main construction elements of the building have been changed (e.g. replacement of ceiling occurred, main walls of the building were opened).
Non-collective dwellings
1900
Before 1900
1919
1900-1919
1944
1920-1944
1959
1945-1959
1969
1960-1969
1979
1970-1979
1989
1980-1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
9999
NIU (not in universe)
This variable indicates the year of construction of the building.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Type of housing unit
Type of housing unit
Type of housing unit
Type of housing unit
Type of housing unit
4. Type of the dwelling
[] 1 For habitation
[] 2 For recreation
[] 3 Occupied other housing unit (shop, workshop, laundry, press-house, hovel, house on wheels, etc.)
All households
1
Dwelling
2
Seasonal/holiday housing unit
3
Occupied other housing unit (shop, workshop, laundry, hut, cara etc.)
9
Collective dwelling
This variable indicates the type of housing unit.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Occupancy status of housing unit
Occupancy status of housing unit
Occupancy status of housing unit
Occupancy status of housing unit
Occupancy status of housing unit
5. Use and occupancy of the dwelling
[] 1 Occupied, home of the occupants
[] 2 Seasonally occupied or kept for secondary use
[] 3 Occupied by the institutional household
[] 4 Occupied by the people out of the scope of the census
[] 5 Unoccupied (vacant)
[] 6 Housing unit not used for habitation
[] 7 Used for recreation
Non-collective dwellings
NIU (not in universe)
1
Occupied
2
Seasonally occupied, secondary dwelling
4
Occupied by persons not belonging to the scope of the census
5
Vacant dwelling
6
Dwelling used for other than habitation
7
Holiday housing unit
This variable indicates the occupancy status of the housing unit.
Technical Household Variables -- HOUSEHOLD
IPUMS
Type of ownership
Type of ownership
Type of ownership
Type of ownership
Type of ownership
6.1 Who is the owner?
[] 1 Natural person
[] 2 Local government
[] 3 Church, religious community
[] 4 Enterprise, co-operative, other economic organization, institution
Non-collective dwellings
NIU (not in universe)
1
Natural person
2
Local government
3
Church, religious community
4
Enterprise, cooperative, other economic unit, institution
This variable indicates the type of ownership of the dwelling.
Household Economic Variables -- HOUSEHOLD
IPUMS
Number of rooms, and availability of kitchen
Number of rooms, and availability of kitchen
Number of rooms, and availability of kitchen
Number of rooms, and availability of kitchen
Number of rooms, and availability of kitchen
7. Number of Rooms
_ _ Over 12 square meters
_ Between 4 and 12 square meters
_ Kitchen (4 square meters or bigger)
_ Kitchenette or cupboard
_ Bathroom with bath or shower
_ Bathroom without bath or shower
7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.
Non-collective dwellings
No room
1
1 room with no kitchen
2
1 room with kitchen(s)
3
2 rooms with no kitchen
4
2 rooms with kitchen(s)
5
3
6
4
7
5
8
6 or more
9
NIU (not in universe)
This variable indicates the number of rooms, and the availability of a kitchen.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of kitchens of 4 m2 or more
Number of kitchens of 4 m2 or more
Number of kitchens of 4 m2 or more
Number of kitchens of 4 m2 or more
Number of kitchens of 4 m2 or more
7. Number of Rooms
_ _ Over 12 square meters
_ Between 4 and 12 square meters
_ Kitchen (4 square meters or bigger)
_ Kitchenette or cupboard
_ Bathroom with bath or shower
_ Bathroom without bath or shower
7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.
Non-collective dwellings
None
1
1
2
2
3
3
4
4 or more
9
NIU (not in universe)
This variable indicates the number of kitchens that are 4 square meters or more in area.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of kitchenettes less than 4 square meters
Number of kitchenettes less than 4 square meters
Number of kitchenettes less than 4 square meters
Number of kitchenettes less than 4 square meters
Number of kitchenettes less than 4 square meters
7. Number of Rooms
_ _ Over 12 square meters
_ Between 4 and 12 square meters
_ Kitchen (4 square meters or bigger)
_ Kitchenette or cupboard
_ Bathroom with bath or shower
_ Bathroom without bath or shower
7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.
Non-collective dwellings
None
1
1
2
2
3
3
4
4 or more
8
Unknown
9
NIU (not in universe)
This variable indicates the number of kitchenettes less than 4 square meters in area.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of bathrooms with fixed bath or shower
Number of bathrooms with fixed bath or shower
Number of bathrooms with fixed bath or shower
Number of bathrooms with fixed bath or shower
Number of bathrooms with fixed bath or shower
7. Number of Rooms
_ _ Over 12 square meters
_ Between 4 and 12 square meters
_ Kitchen (4 square meters or bigger)
_ Kitchenette or cupboard
_ Bathroom with bath or shower
_ Bathroom without bath or shower
7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.
Non-collective dwellings
None
1
1
2
2
3
3
4
4 or more
9
NIU (not in universe)
This variable indicates the number of bathrooms with fixed bath or shower.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Number of bathrooms with no fixed bath or shower
Number of bathrooms with no fixed bath or shower
Number of bathrooms with no fixed bath or shower
Number of bathrooms with no fixed bath or shower
Number of bathrooms with no fixed bath or shower
7. Number of Rooms
_ _ Over 12 square meters
_ Between 4 and 12 square meters
_ Kitchen (4 square meters or bigger)
_ Kitchenette or cupboard
_ Bathroom with bath or shower
_ Bathroom without bath or shower
7. A room is considered as a place bigger than 4 square meters with door and window, and used for daily residence or sleeping. Consulting rooms, offices, workshops, etc., as well as a hall and a dining-room with a window are also considered as rooms. Places joining rooms through a hatch without door (e.g. alcove, dining-box) must not be considered as a separate room, it should be counted in together with a room or kitchen instead.
Non-collective dwellings
None
1
1
2
2
3
3 or more
8
Unknown
9
NIU (not in universe)
This variable indicates the number of bathrooms with no fixed bath or shower.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Floorspace: rooms (square meters)
Floorspace: rooms (square meters)
Floorspace: rooms (square meters)
Floorspace: rooms (square meters)
Floorspace: rooms (square meters)
8. Floor spaces
8.1 Total floor-space of living-rooms (in square meters) _ _ _
8.2 Total floor-space of the dwelling (in square meters) _ _ _
Non-collective dwellings
NIU (not in universe)
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
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
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
150
150
152
152
153
153
154
154
155
155
156
156
157
157
158
158
160
160
162
162
164
164
165
165
167
167
170
170
174
174
175
175
176
176
180
180
181
181
182
182
184
184
185
185
186
186
187
187
189
189
190
190
192
192
193
193
194
194
195
195
200
200
202
202
210
210
213
213
220
220
222
222
224
224
230
230
232
232
233
233
240
240
248
248
250
250+
This variable indicates the rooms' floor space in square meters.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Water supply
Water supply
Water supply
Water supply
Water supply
9. Water supply of the dwelling
With piped water:
[] 1 Inside the dwelling
[] 2 Inside the building
[] 3 From the building site
[] 4 From outside the building site
[] 5 From own pipeline inside the dwelling
In another way:
[] 6 From a well on the building site
[] 7 From elsewhere
Non-collective dwellings
NIU (not in universe)
1
Community network: within dwelling
2
Community network: outside dwelling, but within building
3
Community network: on the groundplot of the building
4
Community network: outside the groundplot of the building
5
Domestic water system, within dwelling
6
From the well on the groundplot
7
From other place
This variable indicates the type of water supply network.
Utilities Variables -- HOUSEHOLD
IPUMS
Hot water
Hot water
Hot water
Hot water
Hot water
10. Hot running water supply of the dwelling
[] 1 From pipeline
[] 2 From a boiler serving more dwellings in the building
[] 3 From own boiler
[] 4 From a traditional bathroom stove
[] 5 From a kitchen water heater
[] 6 In another way
[] 0 No hot running water
Non-collective dwellings
None
1
From community scheme
2
From central boiler for several dwellings
3
From central boiler for one dwelling
4
From traditional bath stove
5
Kitchen water heater only
6
Other
9
NIU (not in universe)
This variable indicates the source of hot water.
Utilities Variables -- HOUSEHOLD
IPUMS
Gas
Gas
Gas
Gas
Gas
11. Type of gas used
[] 1 Piped gas
[] 2 PB-gas from container
[] 3 PB-gas from cylinder
[] 0 No gas is used
11. The response is PB-gas from container if a system serves one or more dwellings or houses through a local pipeline by using this container.
Non-collective dwellings
None
1
Network (piped) gas
2
From container
3
Cylinder (bottle) gas
9
NIU (not in universe)
This variable indicates the source of gas used in the dwelling for heating, cooking or other purposes.
Utilities Variables -- HOUSEHOLD
IPUMS
Heating
Heating
Heating
Heating
Heating
12. Heating
[] 1 District (block) heating or with thermal water (skip to 14)
[] 0 No heating (skip to 14)
[] 2 A boiler heats several dwellings
[] 3 Central boiler heats one dwelling
[] 4 Individual (separately for each)
12. The heating is individual if the places of the dwelling are heated separately by oven, gas-heater, etc.
Non-collective dwellings
No possibility of heating
1
District (block, thermic water) heating
2
Central boiler for several dwellings
3
Central boiler for one dwelling
4
Individual (separate) heating of places
9
NIU (not in universe)
This variable indicates the type of heating used in the dwelling.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Flush toilet
Flush toilet
Flush toilet
Flush toilet
Flush toilet
14. Flushing Toilet
[] 1 In a separate room of the dwelling
[] 2 In a (shared) room of the dwelling
[] 3 Outside the dwelling
[] 0 No flushing toilet
Non-collective dwellings
None
1
Yes: within dwelling, in separate place
2
Yes: in another place of the dwelling
3
Yes:outside dwelling
9
NIU (not in universe)
This variable indicates the availability of a flush toilet.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Sewage disposal
Sewage disposal
Sewage disposal
Sewage disposal
Sewage disposal
15. Sewage disposal from dwelling
[] 1 Into a public sewer
[] 2 Into a closed reservoir via own sewer
[] 3 Into a cesspit via own sewer
[] 4 To other place via own sewer
[] 0 No sewage disposal
Non-collective dwellings
None
1
Into community scheme
2
Into domestic system: closed sewage tank
3
Into domestic system: dessicator (drain tank)
4
Into domestic system: other
9
NIU (not in universe)
This variable indicates the type of sewage disposal system.
Utilities Variables -- HOUSEHOLD
IPUMS
Level of comfort
Level of comfort
Level of comfort
Level of comfort
Level of comfort
Level of comfort
Non-collective dwellings
1
Occupied other housing unit
2
Dwelling, holiday housing unit: with all modern conveniences (amenities)
3
Dwelling, holiday housing unit: with principal conveniences
4
Dwelling, holiday housing unit: half-comfort (part of conveniences)
5
Dwelling, holiday housing unit: without comfort
6
Emergency or other accommodation
9
NIU (not in universe)
This variable indicates the amenities (conveniences) available in the dwelling.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Occupancy status of the dwelling
Occupancy status of the dwelling
Occupancy status of the dwelling
Occupancy status of the dwelling
Occupancy status of the dwelling
Status of occupancy in the dwelling (JC)
[] 1 Owner
[] 2 Relative of the owner
[] 3 Tenant, head tenant, cotenant
[] 4 Relative of the tenant, head tenant, cotenant
[] 5 Occupant of official quarters
[] 6 Roomer
[] 7 Night-lodger
[] 8 Occupant of institution
[] 9 Homeless without address
[] 0 Other
Non-collective dwellings
1
Vacant
2
Owner's
3
Tenant's
4
Service
5
Other rights of use
9
NIU (not in universe)
This variable indicates the occupancy status of the dwelling.
Household Economic 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
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
No married couples in household
1
1 couple
2
2 couples
3
3 couples
4
4 couples
5
5 couples
6
6 couples
7
7 couples
8
8 couples
9
9 or more couples
NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
No mothers in household
1
1 mother
2
2 mothers
3
3 mothers
4
4 mothers
5
5 mothers
6
6 mothers
7
7 mothers
8
8 mothers
9
9 or more mothers in household
NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
No fathers in household
1
1 father
2
2 fathers
3
3 fathers
4
4 fathers
5
5 fathers
6
6 fathers
7
7 fathers
8
8 fathers
9
9 or more fathers in household
NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Country
Country
Country
Country
Country
32
Argentina
40
Austria
50
Bangladesh
51
Armenia
68
Bolivia
76
Brazil
112
Belarus
116
Cambodia
120
Cameroon
124
Canada
152
Chile
156
China
170
Colombia
188
Costa Rica
192
Cuba
214
Dominican Republic
218
Ecuador
222
El Salvador
231
Ethiopia
242
Fiji
250
France
275
Palestine
276
Germany
288
Ghana
300
Greece
324
Guinea
332
Haiti
348
Hungary
356
India
360
Indonesia
364
Iran
368
Iraq
372
Ireland
376
Israel
380
Italy
388
Jamaica
400
Jordan
404
Kenya
417
Kyrgyz Republic
430
Liberia
454
Malawi
458
Malaysia
466
Mali
484
Mexico
496
Mongolia
504
Morocco
508
Mozambique
524
Nepal
528
Netherlands
558
Nicaragua
566
Nigeria
586
Pakistan
591
Panama
600
Paraguay
604
Peru
608
Philippines
620
Portugal
630
Puerto Rico
642
Romania
646
Rwanda
662
Saint Lucia
686
Senegal
694
Sierra Leone
704
Vietnam
705
Slovenia
710
South Africa
724
Spain
728
South Sudan
729
Sudan
756
Switzerland
764
Thailand
792
Turkey
800
Uganda
804
Ukraine
818
Egypt
826
United Kingdom
834
Tanzania
840
United States
854
Burkina Faso
858
Uruguay
862
Venezuela
894
Zambia
COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of 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
Living area in square meters
Living area in square meters
Living area in square meters
Living area in square meters
Living area in square meters
LIVEAREA describes the total living area in the dwelling inhabited by the household.
LIVEAREA is a 3-digit numeric variable.
000 = NIU (not in universe)
999 = Unknown
Unless otherwise specified: 998+
Austria 1991-2001: 150+
Belarus 1999: 201+
Germany 1987: 361+
Hungary 2001: 260+
Iran 2006: 501+
Italy 2001: 150+
Romania 2002: 221+
Slovenia 2002: 101+
Spain 2001: 181+
Switzerland 1980-1990: 400+
Switzerland 2000: 500+
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
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
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
PERNUM is a 3-digit numeric variable.
Technical Person Variables -- PERSON
IPUMS
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships.
MOMLOC is a 3-digit numeric variable.
0 = No mother of this person present in the household.
1 or higher = The person number of this person's mother
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Father's location in household
Father's location in household
Father's location in household
Father's location in household
Father's location in household
POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships.
POPLOC is a 3-digit numeric variable.
0 = No father of this person present in the household.
1 or higher = The person number of this person's father
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly.
SPLOC is a 3-digit numeric variable.
0 = No spouse of this person present in the household.
1 or higher = The person number of this person's spouse
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
No parent of person in household
11
Link to head or spouse, unambiguous
12
Link to head or spouse, ambiguous
21
Child-Grandchild, within empirical child cap
22
Child-Grandchild, within constructed child cap
23
Child-Grandchild, exceeds child cap
31
Specified Other Relatives, within empirical child cap
32
Specified Other Relatives, within constructed child cap
33
Specified Other Relatives, exceeds child cap
41
Other Relatives, within empirical child cap
42
Other Relatives, within constructed child cap
51
Non-Relatives, within empirical child cap
52
Non-Relatives, within constructed child cap
PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father.
IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
No spouse present
1
Rule 1: strong relationship pairing, couple adjacent
2
Rule 2: strong relationship pairing, couple not adjacent
3
Rule 3: weak relationship pairing, couple adjacent
4
Rule 4: weak relationship pairing, couple not adjacent
5
Rule 5: weak consensual union pairings
6
Rule 6: sample-specific rules (usually child-to-child)
SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse.
IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Biological mother or no mother present
1
Mother has no children borne or surviving
2
Child reports mother is deceased
3
Explicitly identified step relationship
4
Mother reports no children in the home
5
Age difference implausible
6
Child exceeds known fertility of mother
STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
The codes for STEPMOM are as follows:
0 = Biological mother or no mother of this person present in household.
1 = Mother has no children borne or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
See PARRULE for a description of the linking process.
Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Biological father or no father present
1
Child reports father is deceased
2
Explicitly identified step relationship
3
Age difference implausible
STEPPOP indicates whether a person's father, as identified by POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household.
The codes for STEPPOP are as follows:
0 = Biological father or no father of this person present in household.
1 = Child reports father is deceased.
2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law).
3 = Age difference between father and child was less than 12 or greater than 54 years.
See PARRULE for a description of the linking process.
Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
No more than one wife linked via SPLOC
1
More than one wife linked via SPLOC
POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.
The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Person is not the 2nd or higher order wife linked via SPLOC
1
Person is the 2nd or higher order wife linked via SPLOC
POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.
The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Family unit membership
Family unit membership
Family unit membership
Family unit membership
Family unit membership
FAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
FAMUNIT is a 2-digit numeric variable.
If there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
1
1 family member present
2
2 family members present
3
3 family members present
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99 or more persons
FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.
FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more children in household
NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more own children under age 5 in household
NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
ELDCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
YNGCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
1
Head
2
Spouse/partner
3
Child
4
Other relative
5
Non-relative
6
Other relative or non-relative
9
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
1000
Head
2000
Spouse/partner
2100
Spouse
2200
Unmarried partner
2300
Same-sex spouse/partner
3000
Child
3100
Biological child
3200
Adopted child
3300
Stepchild
3400
Child/child-in-law
3500
Child/child-in-law/grandchild
3600
Child of unmarried partner
4000
Other relative
4100
Grandchild
4110
Grandchild or great grandchild
4120
Great grandchild
4130
Great-great grandchild
4200
Parent/parent-in-law
4210
Parent
4211
Stepparent
4220
Parent-in-law
4300
Child-in-law
4301
Daughter-in-law
4302
Spouse/partner of child
4310
Unmarried partner of child
4400
Sibling/sibling-in-law
4410
Sibling
4420
Stepsibling
4430
Sibling-in-law
4431
Sibling of spouse/partner
4432
Spouse/partner of sibling
4500
Grandparent
4510
Great grandparent
4600
Parent/grandparent/ascendant
4700
Aunt/uncle
4800
Other specified relative
4810
Nephew/niece
4820
Cousin
4830
Sibling of sibling-in-law
4900
Other relative, not elsewhere classified
4910
Other relative with same family name
4920
Other relative with different family name
4930
Other relative, not specified (secondary family)
5000
Non-relative
5100
Friend/guest/visitor/partner
5110
Partner/friend
5111
Friend
5112
Partner/roommate
5113
Housemate/roommate
5120
Visitor
5130
Ex-spouse
5140
Godparent
5150
Godchild
5200
Employee
5210
Domestic employee
5220
Relative of employee, n.s.
5221
Spouse of servant
5222
Child of servant
5223
Other relative of servant
5300
Roomer/boarder/lodger/foster child
5310
Boarder
5311
Boarder or guest
5320
Lodger
5330
Foster child
5340
Tutored/foster child
5350
Tutored child
5400
Employee, boarder or guest
5500
Other specified non-relative
5510
Agregado
5520
Temporary resident, guest
5600
Group quarters
5610
Group quarters, non-inmates
5620
Institutional inmates
5900
Non-relative, n.e.c.
6000
Other relative or non-relative
9999
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
Relationship to head, Europe
Relationship to head, Europe
Relationship to head, Europe
Relationship to head, Europe
Relationship to head, Europe
10
Reference person / Head
20
Spouse or partner
21
Husband or wife
22
Partner in consensual union
30
Child/child-in-law of head or of spouse/partner
31
Spouse or partner of child of head
40
Parent of head, of spouse, or of partner
50
Other relative of head, spouse, or partner
60
Non-relative of head
61
Foster child
62
Boarder
63
Domestic servant
64
Other
99
Not stated / unknown
ERELATE describes for the European samples the relationship of the individual to the head of household -- sometimes called the householder or reference person.
ERELATE has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses.
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
Marital status, Europe
Marital status, Europe
Marital status, Europe
Marital status, Europe
Marital status, Europe
NIU (not in universe)
1
Never married
2
Married
3
Widowed and not remarried
4
Divorced/separated and not remarried
5
Widowed or divorced
9
Unknown / missing
EMARST describes for the European samples the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. European census instructions generally limit marital status to legal unions, but there are exceptions.
EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses.
Demographic 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
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
Relationship to head of subfamily
Relationship to head of subfamily
Relationship to head of subfamily
Relationship to head of subfamily
Relationship to head of subfamily
1000
Head
2000
Spouse/partner
2100
Spouse
2200
Unmarried partner
3000
Child
3100
Biological child
3200
Adopted or step child
4000
Other relative
4100
Grandchild
4200
Parent/parent-in-law
4210
Parent
4220
Parent-in-law
4300
Child-in-law
4400
Sibling/sibling-in-law
4410
Sibling
4430
Sibling-in-law
4500
Grandparent
4600
Parent/grandparent
4810
Nephew/niece
4900
Other relative, n.e.c.
5000
Non-relative
5120
Visitor
5210
Domestic employee
5220
Relative of employee, n.s.
5300
Roomer/boarder/lodger/foster child
5310
Boarder
5311
Boarder or guest
5400
Employee, boarder or guest
5510
Agregado
5600
Group quarters
6000
Other relative or non-relative
9999
Unknown
SUBFREL describes the relationship of the individual to the head of the subfamily (in most cases, conjugal unit). It is distinct from RELATE, which identifies a person's relationship to the head of the household. There can be multiple subfamilies within households. The particular subfamily to which a person belongs is recorded in SUBFNUM.
Persons living alone without other family are identified as "heads" of family.
Demographic Variables -- PERSON
IPUMS
Subfamily membership number
Subfamily membership number
Subfamily membership number
Subfamily membership number
Subfamily membership number
Non-family
1
1st subfamily
2
2nd subfamily
3
3rd subfamily
4
4th subfamily
5
5th subfamily
6
6th subfamily
7
7th subfamily
8
8th subfamily
9
9th subfamily
10
10th subfamily
11
11th subfamily
12
12th subfamily
13
13th subfamily
SUBFNUM gives the number of the subfamily to which the person belongs within the household (1 = first subfamily, 2 = second subfamily, etc.). SUBFNUM records the identification of subfamilies in the original dataset, which generally correspond to conjugal units and their offspring.
Demographic Variables -- PERSON
IPUMS
Children ever born
Children ever born
Children ever born
Children ever born
Children ever born
No children
1
1 child
2
2 children
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.
Fertility and Mortality Variables -- PERSON
IPUMS
Citizenship
Citizenship
Citizenship
Citizenship
Citizenship
1
Citizen, not specified
2
Citizen by birth
3
Naturalized citizen
4
Not a citizen
5
Without citizenship, stateless
8
Unknown
9
NIU (not in universe)
CITIZEN indicates the person's citizenship status within the country in which they were enumerated.
Nativity and Birthplace Variables -- PERSON
IPUMS
School attendance
School attendance
School attendance
School attendance
School attendance
NIU (not in universe)
1
Yes
2
No, not specified
3
No, attended in the past
4
No, never attended
9
Unknown/missing
SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
Education Variables -- PERSON
IPUMS
Educational attainment, Hungary
Educational attainment, Hungary
Educational attainment, Hungary
Educational attainment, Hungary
Educational attainment, Hungary
NIU (not in universe)
110
No schooling
211
Some primary (less than 4 yrs)
212
Primary (4 yrs completed)
213
Primary (6 yrs completed)
214
Primary completed (8 yrs)
311
Primary and first cycle of secondary
312
Some secondary
313
Secondary completed
320
Apprentice school or vocational highschool certificate
321
Apprentice or vocational, with some primary
322
Apprentice or vocational, primary completed
323
Apprentice or vocational, with some secondary
400
Higher education
410
Some university
420
Non-university completed
430
University completed
999
Unknown
EDUCHU indicates the person's educational attainment in Hungary in terms of the level of schooling completed.
Education Variables -- PERSON
IPUMS
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
Activity status (employment status) [general version]
NIU (not in universe)
1
Employed
2
Unemployed
3
Inactive
9
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
Activity status (employment status) [detailed version]
NIU (not in universe)
100
Employed, not specified
110
At work
111
At work, and 'student'
112
At work, and 'housework'
113
At work, and 'seeking work'
114
At work, and 'retired'
115
At work, and 'no work'
116
At work, and other situation
117
At work, family holding, not specified
118
At work, family holding, not agricultural
119
At work, family holding, agricultural
120
Have job, not at work in reference period
130
Armed forces
131
Armed forces, at work
132
Armed forces, not at work in reference period
133
Military trainee
140
Marginally employed
200
Unemployed, not specified
201
Unemployed 6 or more months
202
Worked fewer than 6 months, permanent job
203
Worked fewer than 6 months, temporary job
210
Unemployed, experienced worker
220
Unemployed, new worker
230
No work available
240
Inactive unemployed
300
Inactive (not in labor force)
310
Housework
320
Unable to work/disabled
321
Permanent disability
322
Temporary illness
323
Disabled or imprisoned
330
In school
340
Retirees and living on rent
341
Living on rents
342
Living on rents or pension
343
Retirees/pensioners
344
Retired
345
Pensioner
346
Non-retirement pension
347
Disability pension
348
Retired without benefits
350
Elderly
351
Elderly or disabled
360
Institutionalized
361
Prisoner
370
Intermittent worker
371
Not working, seasonal worker
372
Not working, occasional worker
380
Other income recipient
390
Inactive, other reasons
391
Too young to work
392
Dependent
999
Unknown/missing
EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information.
The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others.
Employment status is sometimes referred to in other sources as "activity status".
Work Variables -- PERSON
IPUMS
Labor force status, Hungary
Labor force status, Hungary
Labor force status, Hungary
Labor force status, Hungary
Labor force status, Hungary
10
Active earner
11
Unemployed
12
Unemployed, experienced worker
13
Unemployed, new worker
20
On childcare leave/benefit
30
Pensioner by own right
40
Widow/widower pensioner
50
Child in school
60
Child not in school
70
Institutional dependent
80
Other inactive or dependent
LABORHU describes economic status for the Hungary samples.
Work Variables -- PERSON
IPUMS
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
1
Legislators, senior officials and managers
2
Professionals
3
Technicians and associate professionals
4
Clerks
5
Service workers and shop and market sales
6
Skilled agricultural and fishery workers
7
Crafts and related trades workers
8
Plant and machine operators and assemblers
9
Elementary occupations
10
Armed forces
11
Other occupations, unspecified or n.e.c.
97
Response suppressed
98
Unknown
99
NIU (not in universe)
OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.
Work Variables -- PERSON
IPUMS
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.
OCC is a 4-digit numeric variable.
Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes.
Please see the codes for: HU2001A_0418
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: HU2001A_0421
Work Variables -- PERSON
IPUMS
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
NIU (not in universe)
1
Self-employed
2
Wage/salary worker
3
Unpaid worker
4
Other
9
Unknown/missing
CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
NIU (not in universe)
100
Self-employed
101
Self-employed, unincorporated
102
Self-employed, incorporated
110
Employer
111
Sharecropper, employer
120
Working on own account
121
Own account, agriculture
122
Domestic worker, self-employed
123
Subsistence worker, own consumption
124
Own account, other
125
Own account, without temporary/unpaid help
126
Own account, with temporary/unpaid help
130
Member of cooperative
140
Sharecropper
141
Sharecropper, self-employed
142
Sharecropper, employee
150
Kibbutz member
200
Wage/salary worker
201
Management
202
Non-management
203
White collar (non-manual)
204
Blue collar (manual)
205
White and blue collar
206
Day laborer
207
Employee, with a permanent job
208
Employee, occasional, temporary, contract
209
Employee without legal contract
210
Wage/salary worker, private employer
211
Apprentice
212
Religious worker
213
Wage/salary worker, non-profit, NGO
214
White collar, private
215
Blue collar, private
216
Paid family worker
217
Cooperative employee
220
Wage/salary worker, government
221
Federal, government employee
222
State government employee
223
Local government employee
224
White collar, public
225
Blue collar, public
226
Public companies
227
Civil servants, local collectives
230
Domestic worker (work for private household)
240
Seasonal migrant
241
Seasonal migrant, no broker
242
Seasonal migrant, uses broker
250
Other wage and salary
251
Canal zone/commission employee
252
Government employment/training program
253
Mixed state/private enterprise/parastatal
254
Government public work program
300
Unpaid worker
310
Unpaid family worker
320
Apprentice, unpaid or unspecified
330
Trainee
340
Apprentice or trainee
350
Works for others without wage
400
Other
999
Unknown/missing
CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
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
Person number (within household)
Person number (within household)
Person number (within household)
Person number (within household)
Person number (within household)
Person number (within household)
All persons
Household record
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
This variable indicates the person number (within the household).
Technical Person Variables -- PERSON
IPUMS
Serial number of household within dwelling
Serial number of household within dwelling
Serial number of household within dwelling
Serial number of household within dwelling
Serial number of household within dwelling
Person's _ _ _
Household's (HSOR) _
Family's (CSSOR) _ _
All persons
Persons in collective dwellings
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
This variable indicates the serial number of the household.
Technical Person Variables -- PERSON
IPUMS
Family status
Family status
Family status
Family status
Family status
The person's marital status (CSLAS) and role in the family (household)
[] 1 Husband, wife
[] 2 Partner in life
[] 3 Lone father, mother
[] 4 Child
[] 5 Ancestry
[] 6 Other relative
[] 7 Child under state care
[] 8 Non-relative
[] 9 Single
All persons
1
Husband, wife
2
Consensual (cohabiting) partner
3
Father, mother
4
Child
5
Other
6
Person living alone
This variable indicates the family status.
Demographic Variables -- PERSON
IPUMS
Dwelling's tenure status
Dwelling's tenure status
Dwelling's tenure status
Dwelling's tenure status
Dwelling's tenure status
Status of occupancy in the dwelling (JC)
[] 1 Owner
[] 2 Relative of the owner
[] 3 Tenant, head tenant, cotenant
[] 4 Relative of the tenant, head tenant, cotenant
[] 5 Occupant of official quarters
[] 6 Roomer
[] 7 Night-lodger
[] 8 Occupant of institution
[] 9 Homeless without address
[] 0 Other
Persons in non-collective dwellings
1
Owner or his/her relative
2
Main tenant or his/her relative, user of service dwelling
3
Subtenant, bedtenant, night-lodger, other tenure
4
NIU (not in universe)
This variable indicates the tenure status of the dwelling the person is inhabiting.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
1. Gender
[] 1 Male
[] 2 Female
All persons
1
Male
2
Female
This variable indicates the person's sex.
Demographic Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
2. Date of Birth (year, month): _ _ _ _ _ _
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
100
100+
This variable indicates the person's age.
Demographic Variables -- PERSON
IPUMS
Citizenship
Citizenship
Citizenship
Citizenship
Citizenship
3. Country of citizenship
[] 1 Hungary
[] Other ____
All persons
1
Foreigners
2
Hungarian
This variable indicates the person's citizenship.
Nativity and Birthplace Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
8. Marital status:
[] 1 Never married (Skip to 10)
[] 2 Married, living together
[] 3 Married but living separately
[] 4 Widowed
[] 5 Divorced
8. In marking the marital status, the legal de jure status is the basis.
All persons
1
Never married
2
Married, living together with spouse
3
Married, not living together with spouse
4
Widowed
5
Divorced
This variable indicates the person's marital status.
Demographic Variables -- PERSON
IPUMS
Number of marriages
Number of marriages
Number of marriages
Number of marriages
Number of marriages
9.1 Number of marriage _
9.1--9.5. Number of legal marriages applies here. (If applicable you have to disregard the number of cohabitations.) If you had more than two marriages, you have to write the data of the latest one in the last row.
Ever-married persons
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5+
9
Unknown
This variable indicates the number of marriages.
Demographic Variables -- PERSON
IPUMS
In consensual union
In consensual union
In consensual union
In consensual union
In consensual union
10. Do you live in cohabitation?
[] 0 No
[] Yes, with present partner
_ _ _ _ Year _ _ Month
10. In cohabitation, it is not necessary for the partners to live in common dwelling in this respect.
All persons
1
Yes
2
No
This variable indicates whether the person is presently in consensual union.
Demographic Variables -- PERSON
IPUMS
Number of liveborn children
Number of liveborn children
Number of liveborn children
Number of liveborn children
Number of liveborn children
11. _ _ Number of live-born children:
Date of birth (year, month)
_ _ _ _ _ _ First
_ _ _ _ _ _ Second
_ _ _ _ _ _ Third
_ _ _ _ _ _ For more than three, the youngest
11. You have to consider those children who live somewhere else, in another family or under state care, moved or died. You must not consider adopted or foster-child.
Persons age 15+
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 the number of live born children.
Fertility and Mortality Variables -- PERSON
IPUMS
Relation to the head of family
Relation to the head of family
Relation to the head of family
Relation to the head of family
Relation to the head of family
The person's marital status (CSLAS) and role in the family (household)
[] 1 Husband, wife
[] 2 Partner in life
[] 3 Lone father, mother
[] 4 Child
[] 5 Ancestry
[] 6 Other relative
[] 7 Child under state care
[] 8 Non-relative
[] 9 Single
All persons
1
Head of family
2
Spouse of the head of family
3
Cohabiting partner of the head of family
4
Other family member
This variable indicates the person's relation to the head of the family.
Demographic Variables -- PERSON
IPUMS
Highest education level completed
Highest education level completed
Highest education level completed
Highest education level completed
Highest education level completed
12.1 School attendance, qualification
[] 1 Nursery school, kindergarten (Skip to 13)
[] 0 Do not attend school, never completed any class (Skip to 13)
Type of education
Elementary school
Being attended _ _
Completed _ _
Higher elementary school
Completed _
Apprentice school
Completed _
Year of completion _ _ _ _
Typist and stenographic, health and housekeeping
Completed _
Year of completion _ _ _ _
Class other specialized secondary school _ _
Being attended _ _
Completed _ _
Year of completion _ _ _ _
Basic level vocational training
Being attended _
Completed _
Year of completion _ _ _ _
Class grammar school _ _
Being attended _ _
Completed _ _
Year of completion _ _ _ _
Class other secondary school _
Being attended _ _
Completed _ _
Year of completion _ _ _ _
Class other technical school _
Being attended _ _
Completed _ _
Year of completion _ _ _ _
Bilingual _ class (specialized) secondary school
[] 1 Being attended
[] 1 Completed
Year of completion _ _ _ _
Secondary level vocational training
Being attended _
Completed _
Year of completion _ _ _ _
High level, accredited vocational training
Being attended _
Completed _
Year of completion _ _ _ _
High school
Being attended _
Completed _
Post-graduation in high school
Being attended _
Completed _
University
Being attended _
Completed _
Post-graduation in university (PhD, DLA)
Being attended _
Completed _
12.1--12.6. All educational qualifications have to be taken into account. It is not enough if you give the highest level one only. You must not write in courses. You must not make difference between qualifications obtained via regular or non-regular form of education (evening or mail course, distance teaching, private).
12.1 The number of classes (years) must not be converted into the current education system. Currently someone goes to school if he/she is enrolled for the 2000/2001 school year in one of the listed types of school.
Persons age 7+
NIU (not in universe)
1
3 grades of general (primary) school or less
2
4-7 grades of general school
3
First cycle of secondary school
4
Second-level apprentice or vocational school
5
Second cycle of secondary school
6
Third-level education
This variable indicates the person's highest education level completed in the school system.
Education Variables -- PERSON
IPUMS
Economic activity
Economic activity
Economic activity
Economic activity
Economic activity
13. What is your source of livelihood?
Please mark at most three answers
[] 10 Work, activity providing income
[] 11 Regular or reserve military service
[] 20 Child care allowance
[] 21 Child care fee
[] 30 Old age pension on own right
[] 31 Disability or accident pension
[] 40 Pension or benefit of relative's right
[] 50 Unemployment benefit
[] 51 Welfare assistance for unemployed
[] 60 Other regular benefit, aid
[] 70 From own asset and other resource
[] 80 Dependent by private person
[] 81 Dependent by public institution
13. Please mark three boxes maximum which relate to a contribution to your livelihood. If you have regular income from work (e.g. you are employed) or you worked at least one hour during the week preceding the enumeration please mark the box code 10. All activities providing income (salary, fee, etc. or compensation in kind) apply here.
All persons
1
Employed (with or without other source of livelihood)
2
Unemployed (including those with different sources of livelihood)
3
Persons receiving childcare fee, benefit or allowance
4
Pensioner
5
Other inactive earner
6
Dependent supported by an institution
7
Dependent supported by a private person
This variable indicates the person's main economic activity.
Work Variables -- PERSON
IPUMS
Occupation
Occupation
Occupation
Occupation
Occupation
Only for those who marked answers 10-11 in question 13
[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]
15.1 What is the name of the main occupation and what activities characterize it? ____
15.1 Do not use general terms (e.g. civil servant, public official, pedagogue, entrepreneur, unskilled worker, administrator).
Employed persons
NIU (not in universe)
1
Armed forces
11
Legislators and senior officials
12
Corporate managers
13
General managers
21
Physical, mathematical and engineering professionals
22
Life science and health professionals
23
Teaching professionals
24
Other professionals
31
Physical and engineering associate professionals
32
Life science and health associate professionals
33
Teaching associate professionals
34
Other associate professionals
41
Office clerks
42
Customer service clerks
51
Personal and protective service workers
52
Models, salespersons and demonstrators
61
Agriculture and fishery workers
71
Extraction and building trades workers
72
Metal, machinery and related trades workers
73
Precision, handicraft, printing, and related workers
74
Other craft and related trades workers
81
Stationary-plant and related operators
82
Machine operators and assemblers
83
Drivers and mobile-plant operators
91
Sales and services elementary occupations
92
Agriculture, fishery, and related laborers
93
Laborers in mining, construction, manuf. and transport
This variable indicates the person's occupation. It is coded using the ISCO classification.
Work: Occupation Variables -- PERSON
IPUMS
Hours worked per week
Hours worked per week
Hours worked per week
Hours worked per week
Hours worked per week
Only for those who marked answers 10-11 in question 13
[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]
15.3 How many hours do you usually work?
[] Hours a week _ _
[] 99 Varying
15.3 If you have work contract you have to write in those hours which are put down in the contract. If you are self-employed then you have to write in those hours which are usually necessary to do a given work.
Employed 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
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
82
82
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
No specified obligation for worktime
98
Unknown
99
NIU (not in universe)
This variable indicates the time worked in terms of hours per week.
Work Variables -- PERSON
IPUMS
Status in employment
Status in employment
Status in employment
Status in employment
Status in employment
Only for those who marked answers 10-11 in question 13
[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]
16. What's your status in employment?
[] 1 Employee
[] 2 Self employed, sole proprietor
[] 3 Working owner of a company
[] 4 Working member of a co-operative
[] 5 Contributing family worker
[] 6 Occasional worker
[] 7 Worker for public utility
Employed persons
1
Employee
2
Private (own-account) entrepreneur with or without employee
3
Working member of partnership
4
Member of cooperative
5
Unpaid helping family worker
6
Occasional worker, day laborer
7
Worker of public utility
9
NIU (not in universe)
This variable indicates the person's status in employment.
Work Variables -- PERSON
IPUMS
Industry, branch of economy
Industry, branch of economy
Industry, branch of economy
Industry, branch of economy
Industry, branch of economy
Only for those who marked answers 10-11 in question 13
[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]
17.1 Your employer's name
____ Name
____ Main activity
____ Address
17.2 Name of your workplace
____ Name
____ Main activity
17.1 You have to fill in the registered name, main activity and address of the enterprise or organization at which you carry on your occupation in question 15.1.
17.2 Fill in your enterprise or organization workplace where you actually work (factory, shop, office, etc.)
Employed persons
NIU (not in universe)
1
Agriculture, hunting, forestry and fishing
2
Forestry, logging and related activities
5
Fishing
10
Mining of coal and lignite
11
Extraction of crude petroleum and natural gas
13
Mining of metal ores
14
Other mining and quarrying
15
Manufacturing of food products and beverages
16
Manufacture of tobacco products
17
Manufacture of textiles
18
Manufacture of wearing apparel
19
Tanning and dressing of leather
20
Manufacture of wood and wood, products, except furniture
21
Manufacture of paper and paper products
22
Publishing, printing, and reproduction of recorded media
23
Manufacture of coke, refined petroleum products and nuclear fuel
24
Manufacture of chemicals
25
Manufacture of rubber and plastic products
26
Manufacture of other non-metallic mineral products
27
Manufacture of basic metals
28
Manufacture of fabricated metal products, except machinery
29
Manufacture of machinery and equipment, nec
30
Manufacture of office machinery
31
Manufacture of electrical machinery, nec
32
Manufacture of communication equipment
33
Manufacture of medical, precision instruments, watches
34
Manufacture of motor vehicles and trailers
35
Manufacture of other transport equipment
36
Manufacture of furniture, nec
37
Recycling
40
Electricity, gas, steam, hot-water supply
41
Collection, purification, distribution of water
45
Construction
50
Sale and maintenance of motor vehicles
51
Wholesale and commission trade, except motor vehicles
52
Retail trade, except motor vehicles and repair of household goods
55
Hotels and restaurants
60
Land transport, pipelines
61
Water transport
62
Air transport
63
Supporting transport activities; travel agents
64
Post and telecommunications
65
Financial intermediation, except insurance and pensions
66
Insurance and pension funding, except social security
67
Activities auxiliary to financial intermediation
70
Real estate activities
71
Renting of machinery and equipment
72
Computer and related activities
73
Research and development
74
Other business activities
75
Public administration and defense
80
Education
85
Health and social work
90
Sewage and refuse disposal
91
Activities and membership organizations, nec
92
Recreational, cultural and sporting activities
93
Other service activities
95
Private households with employed persons
99
Extra-territorial organizations and bodies
This variable indicates the industry of the person's main economic activity: the product or service created. The ISIC classification is used.
Work: Industry Variables -- PERSON
IPUMS
Number of employees of employer
Number of employees of employer
Number of employees of employer
Number of employees of employer
Number of employees of employer
Only for those who marked answers 10-11 in question 13
[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]
15.2 Do you have employees?
[] 0 No
[] Yes, number of employees:
[] 1 1-2 person(s)
[] 2 3-9 persons
[] 3 10-19 persons
[] 4 20 or more persons
17.4 How many persons, including you, are employed at your workplace?
[] 1 Less than 10
[] 2 10-19
[] 3 20 or more
[] 4 Don't know
Employed persons
1
Less than 10
2
10 to 19
3
20 or more
4
Did not know
9
NIU (not in universe)
This variable indicates the number of employees employed in the person's workplace.
Work Variables -- PERSON
IPUMS
Seeking job
Seeking job
Seeking job
Seeking job
Seeking job
Only for those who did not mark answers 10-11 in question 13
[Questions 19.1 through 19.3 asked of those who did not mark 10-11 in question 13.]
19.1 Are you looking for a job?
[] 1 Yes
[] 2 No, because you think you would not find a suitable job (Skip to 20)
[] 3 No, for other reasons (Skip to 20)
19.1 You may answer the question as Yes, only if you were actively looking for a job within the last 4 weeks.
Unemployed persons
1
Yes
2
No, because of no chance to find appropriate job
3
No, because of any other reason
9
NIU (not in universe)
This variable indicates whether a person has been looking for a job.
Work Variables -- PERSON
IPUMS
Months seeking job
Months seeking job
Months seeking job
Months seeking job
Months seeking job
Only for those who did not mark answers 10-11 in question 13
[Questions 19.1 through 19.3 asked of those who did not mark 10-11 in question 13.]
19.3 How long have you been looking for a job?
[] 0 Less than a month
[] Months _ _
Persons seeking job
Less than one month
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
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
68
68
70
70
72
72
73
73
74
74
75
75
80
80
82
82
84
84
85
85
86
86
87
87
90
90
92
92
94
94
95
95
96
96
97
97
98
98
99
99 or more
998
Unknown
999
NIU (not in universe)
This variable indicates the number of months the person has been seeking job.
Work Variables -- PERSON
IPUMS
Year of ending last job
Year of ending last job
Year of ending last job
Year of ending last job
Year of ending last job
Only for those who marked any of the answers 20-81 in question 13.
20.1 When did you finish your last job?
[] 0 Never worked (Skip to 21)
[] Year _ _ _ _
Persons not currently employed
Never worked
1900
1900
1901
1901
1902
1902
1903
1903
1904
1904
1905
1905
1906
1906
1907
1907
1908
1908
1909
1909
1910
1910
1911
1911
1913
1913
1915
1915
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
9998
Unknown
9999
NIU (not in universe)
This variable indicates the year when the person's last job ended.
Work Variables -- PERSON
IPUMS
Travel to work
Travel to work
Travel to work
Travel to work
Travel to work
21.1 Do you have to travel daily to work or school?
To work:
[] 0 No
[] 1 Yes
To school:
[] 0 No
[] 1 Yes
All persons
1
No
2
Yes
This variable indicates whether the person has to travel daily to work.
Work Variables -- PERSON
IPUMS
Travel to school
Travel to school
Travel to school
Travel to school
Travel to school
21.1 Do you have to travel daily to work or school?
To work:
[] 0 No
[] 1 Yes
To school:
[] 0 No
[] 1 Yes
All persons
1
No
2
Yes
This variable indicates whether the person has to travel daily to school.
Education Variables -- PERSON
IPUMS
Duration of daily journey to work
Duration of daily journey to work
Duration of daily journey to work
Duration of daily journey to work
Duration of daily journey to work
21.3 How much time does the journey to work or school usually take (including the way back home and waiting)?
To work:
_ _ _ Minutes
To school:
_ _ _ Minutes
Persons who travel to work
NIU (not in universe)
1
Less than 30 minutes
2
31-60 minutes
3
61-90 minutes
4
91-120 minutes
5
More than 2 hours
9
Unknown
This variable indicates the length of commute to work.
Work Variables -- PERSON
IPUMS
Duration of daily journey to school
Duration of daily journey to school
Duration of daily journey to school
Duration of daily journey to school
Duration of daily journey to school
21.3 How much time does the journey to work or school usually take (including the way back home and waiting)?
To work:
_ _ _ Minutes
To school:
_ _ _ Minutes
Persons with daily journey to school
NIU (not in universe)
1
Less than 30 minutes
2
31-60 minutes
3
61-90 minutes
4
91-120 minutes
5
More than 2 hours
9
Unknown
This variable indicates the length of commute to school.
Other Person Variables -- PERSON
IPUMS
Works or studies in locality of residence
Works or studies in locality of residence
Works or studies in locality of residence
Works or studies in locality of residence
Works or studies in locality of residence
12.3 In case you attend any of the schools above, in which locality or district is the school?
[] 1 In the locality (district) of the enumeration
[] Other:
____ Name of city or locality
____ District
Only for those who marked answers 10-11 in question 13
[Questions 15.1 through 18.2 were asked of those who marked answers 10-11 in question 13.]
17.3 In which locality is your workplace?
[] 1 Same as the place of enumeration
[] 2 Varying
[] Other:
____ Name of city or locality
____ District
12.1--12.6. All educational qualifications have to be taken into account. It is not enough if you give the highest level one only. You must not write in courses. You must not make difference between qualifications obtained via regular or non-regular form of education (evening or mail course, distance teaching, private).
All persons
1
Working in the locality of residence
2
Studying in the locality of residence
3
Neither working nor studying in locality of residence
This variable indicates whether a person works or studies in his locality of residence.
Work Variables -- PERSON
IPUMS
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
The person's marital status (CSLAS) and role in the family (household)
[] 1 Husband, wife
[] 2 Partner in life
[] 3 Lone father, mother
[] 4 Child
[] 5 Ancestry
[] 6 Other relative
[] 7 Child under state care
[] 8 Non-relative
[] 9 Single
All persons
1
Head
2
Husband, wife
3
Consensual (cohabiting) partner
4
Father, mother
5
Child
6
Other
8
Person living alone
9
Unknown: person not in the first family within the household
This variable indicates the person's relationship to the household head.
Demographic Variables -- PERSON
IPUMS
Family number within household
Family number within household
Family number within household
Family number within household
Family number within household
Family number within household
All persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
This variable indicates the family number within the household.
Technical Person Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
PERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Person 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
Educational attainment, Europe
Educational attainment, Europe
Educational attainment, Europe
Educational attainment, Europe
Educational attainment, Europe
NIU (not in universe)
10
Less than primary
20
Primary (first stage of basic education)
30
Lower secondary (second stage of basic education)
40
Upper secondary
50
Post-secondary non-tertiary education
60
University completed
99
Unknown/missing
EEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. 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. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities.
EEDATTAIN 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. EEDATTAIN 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 EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country.
Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL.
EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples.
Education Variables -- PERSON
IPUMS
Activity status (employment status), Europe
Activity status (employment status), Europe
Activity status (employment status), Europe
Activity status (employment status), Europe
Activity status (employment status), Europe
NIU (not in universe)
110
Employed
120
Unemployed
121
Unemployed, never worked before
200
Not economically active, unspecified
210
Students
220
Pension or capital income recipients
230
Homemakers
240
Others
999
Unknown / missing
EEMPSTAT indicates for the European samples 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, EEMPSTAT can also convey further information.
EEMPSTAT has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Employment Status" is referred to as "Activity Status" in the CES recommendations, but the former term is used to maintain consistency with IPUMS practices.
The economically active population constitutes the total labor force: employed and unemployed persons.
Work Variables -- PERSON
IPUMS
Status in employment (class of worker), Europe
Status in employment (class of worker), Europe
Status in employment (class of worker), Europe
Status in employment (class of worker), Europe
Status in employment (class of worker), Europe
NIU (not in universe)
1
Employees
2
Employers
3
Own-account worker
4
Contributing family workers
5
Members of producers' co-operatives
6
Persons not classificable by status
9
Unknown
ECLASSWK refers in European Samples 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.
ECLASSWK is related to EEMPSTAT (employment status), which is used to define the universe for the variable in many samples.
ECLASSWK has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Class of worker" is referred to as "Status in Employment" in the CES recommendations. The former term is used to maintain concordance with IPUMS practice.
Work Variables -- PERSON
IPUMS
Hours worked per week
Hours worked per week
Hours worked per week
Hours worked per week
Hours worked per week
0 hours
1
1 hour
2
2 hours
3
3 hours
4
4 hours
5
5 hours
6
6 hours
7
7 hours
8
8 hours
9
9 hours
10
10 hours
11
11 hours
12
12 hours
13
13 hours
14
14 hours
15
15 hours
16
16 hours
17
17 hours
18
18 hours
19
19 hours
20
20 hours
21
21 hours
22
22 hours
23
23 hours
24
24 hours
25
25 hours
26
26 hours
27
27 hours
28
28 hours
29
29 hours
30
30 hours
31
31 hours
32
32 hours
33
33 hours
34
34 hours
35
35 hours
36
36 hours
37
37 hours
38
38 hours
39
39 hours
40
40 hours
41
41 hours
42
42 hours
43
43 hours
44
44 hours
45
45 hours
46
46 hours
47
47 hours
48
48 hours
49
49 hours
50
50 hours
51
51 hours
52
52 hours
53
53 hours
54
54 hours
55
55 hours
56
56 hours
57
57 hours
58
58 hours
59
59 hours
60
60 hours
61
61 hours
62
62 hours
63
63 hours
64
64 hours
65
65 hours
66
66 hours
67
67 hours
68
68 hours
69
69 hours
70
70 hours
71
71 hours
72
72 hours
73
73 hours
74
74 hours
75
75 hours
76
76 hours
77
77 hours
78
78 hours
79
79 hours
80
80 hours
81
81 hours
82
82 hours
83
83 hours
84
84 hours
85
85 hours
86
86 hours
87
87 hours
88
88 hours
89
89 hours
90
90 hours
91
91 hours
92
92 hours
93
93 hours
94
94 hours
95
95 hours
96
96 hours
97
97 hours
98
98 hours
99
99 hours
100
100 hours
101
101 hours
102
102 hours
103
103 hours
104
104 hours
105
105 hours
106
106 hours
107
107 hours
108
108 hours
109
109 hours
110
110 hours
111
111 hours
112
112 hours
113
113 hours
114
114 hours
115
115 hours
116
116 hours
117
117 hours
118
118 hours
119
119 hours
120
120 hours
121
121 hours
122
122 hours
123
123 hours
124
124 hours
125
125 hours
126
126 hours
127
127 hours
128
128 hours
129
129 hours
130
130 hours
131
131 hours
132
132 hours
133
133 hours
134
134 hours
135
135 hours
136
136 hours
137
137 hours
138
138 hours
139
139 hours
140
140+ hours
998
Unknown
999
NIU (not in universe)
HRSWORK1 indicates the number of hours the respondent worked per week at all jobs.
Work Variables -- PERSON
IPUMS
Hours worked per week, categorized
Hours worked per week, categorized
Hours worked per week, categorized
Hours worked per week, categorized
Hours worked per week, categorized
None
1
1 to 14 hours
2
15 to 29 hours (except ve1971)
3
30 to 39 hours (except ve1971 and de1970)
4
40-48 hours (except il1972 and de1970)
5
49 hours or more
8
Unknown
9
NIU (not in universe)
HRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals.
Work Variables -- PERSON
IPUMS
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