DDI_PHL_2000_PHC_v01_M_v03_A_IPUMS
Minnesota Population Center
2016-04-25
NADA
- v6.4 April 2016
Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.
The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.
Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)
Census of Population and Housing 2000 - IPUMS Subset
PHC 2000 (IPUMS Harmonized Subset)
PHL_2000_PHC_v01_M_v03_A_IPUMS
National Statistics Office
Minnesota Population Center
Minnesota Population Center
(c) Copyright 2000, National Statistics Office and Minnesota Population Center
NADA
National Statistics Office
Population and Housing Census [hh/popcen]
Version 6.4. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.
In v6.4, the research team continued to carry out improvements to geography, providing harmonized geographic units for the second administrative level for roughly half the countries. More information about IPUMS geography variables is available <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed <a href='https://international.ipums.org/international/resources/misc_docs/renamed_variables_sept2015.pdf'>here</a>. Geography variable also underwent wholesale renaming.
In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.
In this version, geographic variables are significantly revised. IPUMS has developed subnational geographies for each country that are consistent over time and have associated GIS shape files. To distinguish the harmonized and unharmonized geographic variables, which will ultimately be available at the first and second administrative levels for most countries, a new, more systematic variable-naming convention have been imposed. The available geographic variables and their old and new names are described <a href='https://international.ipums.org/international/geography_variables.shtml'>here</a>. Further explanation of the new geographic variables and the GIS boundary files is available <a href='https://international.ipums.org/international/geography_gis.shtml'>here</a>.
Technical Household Variables -- HOUSEHOLD
Group Quarters Variables -- HOUSEHOLD
Geography: Global Variables -- HOUSEHOLD
Geography: M-Z Variables -- HOUSEHOLD
Household Economic Variables -- HOUSEHOLD
Utilities Variables -- HOUSEHOLD
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Dwelling Characteristics Variables -- HOUSEHOLD
Other Household Variables -- HOUSEHOLD
Constructed Household Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Constructed Family Interrelationship Variables -- PERSON
Demographic Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Migration Variables -- PERSON
Disability Variables -- PERSON
Other Person Variables -- PERSON
Ethnicity and Language Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Work: Occupation Variables -- PERSON
Work: Industry Variables -- PERSON
IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.
The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.
Philippines
National coverage
Municipalities with 20,000+ population combined by MPC
Households
UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: Yes
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
UNIT DESCRIPTIONS:
- Dwellings: A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted or arranged is intended for habitation by one or more households. Structures or parts of structures not intended for habitation such as commercial, industrial, and agricultural buildings, or natural and man-made shelters such as caves, boats, abandoned trucks, culverts, etc., but used as living quarters by households are also considered as housing units.
- Households: A household is a social unit consisting of a person living alone or a group of persons who (1) sleep in the same housing unit and (2) have a common arrangement for the preparation and
consumption of food.
- Group quarters: Institutional population comprises persons who are found living in institutional living quarters. They may have their own families or households elsewhere but at the time of the census they are committed or confined in institutions, or they live in institutional living quarters and are usually subject to a common authority or management, or are bound by either a common public objective or a common personal interest.
Filipino nationals regardless of whether they are residing in Philipines at the time of the census and citizens of other countires having their usual residence in the Phillipines or those whose temporary residence will exceed a year from the time of their arrival.
Census/enumeration data [cen]
UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: Yes
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
UNIT DESCRIPTIONS:
- Dwellings: A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted or arranged is intended for habitation by one or more households. Structures or parts of structures not intended for habitation such as commercial, industrial, and agricultural buildings, or natural and man-made shelters such as caves, boats, abandoned trucks, culverts, etc., but used as living quarters by households are also considered as housing units.
- Households: A household is a social unit consisting of a person living alone or a group of persons who (1) sleep in the same housing unit and (2) have a common arrangement for the preparation and
consumption of food.
- Group quarters: Institutional population comprises persons who are found living in institutional living quarters. They may have their own families or households elsewhere but at the time of the census they are committed or confined in institutions, or they live in institutional living quarters and are usually subject to a common authority or management, or are bound by either a common public objective or a common personal interest.
MICRODATA SOURCE: National Statistics Office
SAMPLE DESIGN: Systematic cluster sampling
SAMPLE UNIT: Household
SAMPLE FRACTION: 10%
SAMPLE UNIVERSE: Microdata are available for 100% samples
SAMPLE SIZE (person records): 7,417,810
Face-to-face [f2f]
Three used: CPH Form 2- Common Household Questionnaire; 3- Sample Household questionnaire;and 4 - Instituttional Population Questionnaire
De jure, CENSUS DAY: May 1, 2000, FIELD WORK PERIOD: Original plan 20 days. Only 30% of the provinces finished the enumeration on the May 24th.
House-to-house visit and personal interview
Calculated by national statistical office.
COVERAGE: 100%
IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved.
To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
IPUMS-International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS-International uses a variety of technical procedures to enhance confidentiality protection. These include the following:
(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.
(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.
(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)
(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.
The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS-International are designed to extend this record.
IPUMS International
Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.4 [dataset]. Minneapolis: University of Minnesota, 2015. http://doi.org/10.18128/D020.V6.4.
Researchers should also acknowledge the statistical agency that originally produced the data:
Philippines, National Statistics Office, 2000 Census of Population and Housing
The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.
Copies of such materials are also gratefully received at ipums@umn.edu.
Printed matter should be sent to:
IPUMS-International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455
An adapted version of the dataset, harmonized for international comparability, is available from IPUMS-International (https://international.ipums.org/international/) under the following conditions:
IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following:
(1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS-International agreements with collaborating agencies, redistribution of the data to third parties is prohibited.
(2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture.
(3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited.
(4) Report all publications based on these data to IPUMS-International, which will in turn pass the information on to the relevant national statistical agencies.
Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes.
These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
PHL2000-H-H
Household records
0
86
PHL2000-P-H
Person records
0
91
Record type
Record type
Record type
Record type
Record type
RECTYPE identifies the type of record for the case: household or person.
NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types.
Technical Household Variables -- HOUSEHOLD
IPUMS
Year
Year
Year
Year
Year
1960
1960
1962
1962
1963
1963
1964
1964
1966
1966
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
YEAR gives the year in which the census was taken.
Technical Household Variables -- HOUSEHOLD
IPUMS
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
IPUMS sample identifier
32197001
Argentina 1970
32199101
Argentina 1991
32200101
Argentina 2001
32201001
Argentina 2010
32219801
Argentina 1980
40197101
Austria 1971
40198101
Austria 1981
40199101
Austria 1991
40200101
Austria 2001
40201101
Austria 2011
50199101
Bangladesh 1991
50200101
Bangladesh 2001
50201101
Bangladesh 2011
51200101
Armenia 2001
51201101
Armenia 2011
68197601
Bolivia 1976
68199201
Bolivia 1992
68200101
Bolivia 2001
76196001
Brazil 1960
76197001
Brazil 1970
76198001
Brazil 1980
76199101
Brazil 1991
76200001
Brazil 2000
76201001
Brazil 2010
112199901
Belarus 1999
116199801
Cambodia 1998
116200801
Cambodia 2008
120197601
Cameroon 1976
120198701
Cameroon 1987
120200501
Cameroon 2005
124197101
Canada 1971
124198101
Canada 1981
124199101
Canada 1991
124200101
Canada 2001
152196001
Chile 1960
152197001
Chile 1970
152198201
Chile 1982
152199201
Chile 1992
152200201
Chile 2002
156198201
China 1982
156199001
China 1990
170196401
Colombia 1964
170197301
Colombia 1973
170198501
Colombia 1985
170199301
Colombia 1993
170200501
Colombia 2005
188196301
Costa Rica 1963
188197301
Costa Rica 1973
188198401
Costa Rica 1984
188200001
Costa Rica 2000
188201101
Costa Rica 2011
192200201
Cuba 2002
214196001
Dominican Republic 1960
214197001
Dominican Republic 1970
214198101
Dominican Republic 1981
214200201
Dominican Republic 2002
214201001
Dominican Republic 2010
218196201
Ecuador 1962
218197401
Ecuador 1974
218198201
Ecuador 1982
218199001
Ecuador 1990
218200101
Ecuador 2001
218201001
Ecuador 2010
222199201
El Salvador 1992
222200701
El Salvador 2007
231198401
Ethiopia 1984
231199401
Ethiopia 1994
231200701
Ethiopia 2007
242196601
Fiji 1966
242197601
Fiji 1976
242198601
Fiji 1986
242199601
Fiji 1996
242200701
Fiji 2007
250196201
France 1962
250196801
France 1968
250197501
France 1975
250198201
France 1982
250199001
France 1990
250199901
France 1999
250200601
France 2006
250201101
France 2011
275199701
Palestine 1997
275200701
Palestine 2007
276197001
Germany 1970 (West)
276197101
Germany 1971 (East)
276198101
Germany 1981 (East)
276198701
Germany 1987 (West)
288198401
Ghana 1984
288200001
Ghana 2000
288201001
Ghana 2010
300197101
Greece 1971
300198101
Greece 1981
300199101
Greece 1991
300200101
Greece 2001
324198301
Guinea 1983
324199601
Guinea 1996
332197101
Haiti 1971
332198201
Haiti 1982
332200301
Haiti 2003
348197001
Hungary 1970
348198001
Hungary 1980
348199001
Hungary 1990
348200101
Hungary 2001
356198341
India 1983
356198741
India 1987
356199341
India 1993
356199941
India 1999
356200441
India 2004
360197101
Indonesia 1971
360197601
Indonesia 1976
360198001
Indonesia 1980
360198501
Indonesia 1985
360199001
Indonesia 1990
360199501
Indonesia 1995
360200001
Indonesia 2000
360200501
Indonesia 2005
360201001
Indonesia 2010
364200601
Iran 2006
368199701
Iraq 1997
372197101
Ireland 1971
372197901
Ireland 1979
372198101
Ireland 1981
372198601
Ireland 1986
372199101
Ireland 1991
372199601
Ireland 1996
372200201
Ireland 2002
372200601
Ireland 2006
372201101
Ireland 2011
376197201
Israel 1972
376198301
Israel 1983
376199501
Israel 1995
380200101
Italy 2001
388198201
Jamaica 1982
388199101
Jamaica 1991
388200101
Jamaica 2001
400200401
Jordan 2004
404196901
Kenya 1969
404197901
Kenya 1979
404198901
Kenya 1989
404199901
Kenya 1999
404200901
Kenya 2009
417199901
Kyrgyz Republic 1999
417200901
Kyrgyz Republic 2009
430197401
Liberia 1974
430200801
Liberia 2008
454198701
Malawi 1987
454199801
Malawi 1998
454200801
Malawi 2008
458197001
Malaysia 1970
458198001
Malaysia 1980
458199101
Malaysia 1991
458200001
Malaysia 2000
466198701
Mali 1987
466199801
Mali 1998
466200901
Mali 2009
484196001
Mexico 1960
484197001
Mexico 1970
484199001
Mexico 1990
484199501
Mexico 1995
484200001
Mexico 2000
484200501
Mexico 2005
484201001
Mexico 2010
496198901
Mongolia 1989
496200001
Mongolia 2000
504198201
Morocco 1982
504199401
Morocco 1994
504200401
Morocco 2004
508199701
Mozambique 1997
508200701
Mozambique 2007
524200101
Nepal 2001
528196001
Netherlands 1960
528197101
Netherlands 1971
528200101
Netherlands 2001
558197101
Nicaragua 1971
558199501
Nicaragua 1995
558200501
Nicaragua 2005
566200621
Nigeria 2006
566200721
Nigeria 2007
566200821
Nigeria 2008
566200921
Nigeria 2009
566201021
Nigeria 2010
586197301
Pakistan 1973
586198101
Pakistan 1981
586199801
Pakistan 1998
591196001
Panama 1960
591197001
Panama 1970
591198001
Panama 1980
591199001
Panama 1990
591200001
Panama 2000
591201001
Panama 2010
600196201
Paraguay 1962
600197201
Paraguay 1972
600198201
Paraguay 1982
600199201
Paraguay 1992
600200201
Paraguay 2002
604199301
Peru 1993
604200701
Peru 2007
608199001
Philippines 1990
608199501
Philippines 1995
608200001
Philippines 2000
620198101
Portugal 1981
620199101
Portugal 1991
620200101
Portugal 2001
620201101
Portugal 2011
630197001
Puerto Rico 1970
630198001
Puerto Rico 1980
630199001
Puerto Rico 1990
630200001
Puerto Rico 2000
630200501
Puerto Rico 2005
630201001
Puerto Rico 2010
642197701
Romania 1977
642199201
Romania 1992
642200201
Romania 2002
646199101
Rwanda 1991
646200201
Rwanda 2002
662198001
Saint Lucia 1980
662199101
Saint Lucia 1991
686198801
Senegal 1988
686200201
Senegal 2002
694200401
Sierra Leone 2004
704198901
Vietnam 1989
704199901
Vietnam 1999
704200901
Vietnam 2009
705200201
Slovenia 2002
710199601
South Africa 1996
710200101
South Africa 2001
710200701
South Africa 2007
710201101
South Africa 2011
724198101
Spain 1981
724199101
Spain 1991
724200101
Spain 2001
724201101
Spain 2011
728200801
South Sudan 2008
729200801
Sudan 2008
756197001
Switzerland 1970
756198001
Switzerland 1980
756199001
Switzerland 1990
756200001
Switzerland 2000
764197001
Thailand 1970
764198001
Thailand 1980
764199001
Thailand 1990
764200001
Thailand 2000
792198501
Turkey 1985
792199001
Turkey 1990
792200001
Turkey 2000
800199101
Uganda 1991
800200201
Uganda 2002
804200101
Ukraine 2001
818199601
Egypt 1996
818200601
Egypt 2006
826199101
United Kingdom 1991
826200101
United Kingdom 2001
834198801
Tanzania 1988
834200201
Tanzania 2002
840196001
United States 1960
840197001
United States 1970
840198001
United States 1980
840199001
United States 1990
840200001
United States 2000
840200501
United States 2005
840201001
United States 2010
854198501
Burkina Faso 1985
854199601
Burkina Faso 1996
854200601
Burkina Faso 2006
858196301
Uruguay 1963
858197501
Uruguay 1975
858198501
Uruguay 1985
858199601
Uruguay 1996
858200621
Uruguay 2006
858201101
Uruguay 2011
862197101
Venezuela 1971
862198101
Venezuela 1981
862199001
Venezuela 1990
862200101
Venezuela 2001
894199001
Zambia 1990
894200001
Zambia 2000
894201001
Zambia 2010
SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows:
The first 3 digits are the ISO/UN codes used in COUNTRY
The next 4 digits are the year of the census/survey
The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41).
Technical Household Variables -- HOUSEHOLD
IPUMS
Household serial number
Household serial number
Household serial number
Household serial number
Household serial number
SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database.
SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred:
Chile 1970, 1992, 2002
Colombia 1993, 2005
Costa Rica 1984, 2000
Cuba 2002
Dominican Republic 1981, 2002, 2010
Ecuador 1990, 2001
Germany 1971
Hungary 1980, 1990, 2001
Jamaica 1982, 1991, 2001
Malaysia 1970, 1991, 2000
Mexico 1995, 1990, 2000, 2005
Nigeria 2006
Panama 2000
Peru 1993, 2007
Portugal 1981, 1991, 2001
Spain 1991
Uruguay 2011
Venezuela 1990, 2001
Vietnam 1989
In all other samples, the last 3 digits are always zeroes.
SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets.
Technical Household Variables -- HOUSEHOLD
IPUMS
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
Number of person records in the household
PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.
Technical Household Variables -- HOUSEHOLD
IPUMS
Subsample number
Subsample number
Subsample number
Subsample number
Subsample number
1st 1% subsample
1
2nd 1% subsample
2
3rd 1% subsample
3
4th 1% subsample
4
5th 1% subsample
5
6th 1% subsample
6
7th 1% subsample
7
8th 1% subsample
8
9th 1% subsample
9
10th 1% subsample
10
11th 1% subsample
11
12th 1% subsample
12
13th 1% subsample
13
14th 1% subsample
14
15th 1% subsample
15
16th 1% subsample
16
17th 1% subsample
17
18th 1% subsample
18
19th 1% subsample
19
20th 1% subsample
20
21st 1% subsample
21
22nd 1% subsample
22
23rd 1% subsample
23
24th 1% subsample
24
25th 1% subsample
25
26th 1% subsample
26
27th 1% subsample
27
28th 1% subsample
28
29th 1% subsample
29
30th 1% subsample
30
31st 1% subsample
31
32nd 1% subsample
32
33rd 1% subsample
33
34th 1% subsample
34
35th 1% subsample
35
36th 1% subsample
36
37th 1% subsample
37
38th 1% subsample
38
39th 1% subsample
39
40th 1% subsample
40
41st 1% subsample
41
42nd 1% subsample
42
43rd 1% subsample
43
44th 1% subsample
44
45th 1% subsample
45
46th 1% subsample
46
47th 1% subsample
47
48th 1% subsample
48
49th 1% subsample
49
50th 1% subsample
50
51st 1% subsample
51
52nd 1% subsample
52
53rd 1% subsample
53
54th 1% subsample
54
55th 1% subsample
55
56th 1% subsample
56
57th 1% subsample
57
58th 1% subsample
58
59th 1% subsample
59
60th 1% subsample
60
61st 1% subsample
61
62nd 1% subsample
62
63rd 1% subsample
63
64th 1% subsample
64
65th 1% subsample
65
66th 1% subsample
66
67th 1% subsample
67
68th 1% subsample
68
69th 1% subsample
69
70th 1% subsample
70
71st 1% subsample
71
72nd 1% subsample
72
73rd 1% subsample
73
74th 1% subsample
74
75th 1% subsample
75
76th 1% subsample
76
77th 1% subsample
77
78th 1% subsample
78
79th 1% subsample
79
80th 1% subsample
80
81st 1% subsample
81
82nd 1% subsample
82
83rd 1% subsample
83
84th 1% subsample
84
85th 1% subsample
85
86th 1% subsample
86
87th 1% subsample
87
88th 1% subsample
88
89th 1% subsample
89
90th 1% subsample
90
91st 1% subsample
91
92nd 1% subsample
92
93rd 1% subsample
93
94th 1% subsample
94
95th 1% subsample
95
96th 1% subsample
96
97th 1% subsample
97
98th 1% subsample
98
99th 1% subsample
99
100th 1% subsample
SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples.
Technical Household Variables -- HOUSEHOLD
IPUMS
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Group quarters (collective dwelling) status
Vacant
10
Households
20
Group quarters, n.s.
21
Institutions
22
Other group quarters
29
1-person unit created by splitting large household
99
Unknown/group quarters not identified
GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools.
Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification.
Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
Number of unrelated persons
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
UNREL indicates the number of persons in the household who are unrelated to the head.
Group Quarters Variables -- HOUSEHOLD
IPUMS
Continent and region of country
Continent and region of country
Continent and region of country
Continent and region of country
Continent and region of country
11
Eastern Africa
12
Middle Africa
13
Northern Africa
14
Southern Africa
15
Western Africa
21
Caribbean
22
Central America
23
North America
24
South America
31
Central Asia
32
Eastern Asia
33
Southern Asia
34
South-Eastern Asia
35
Western Asia
41
Eastern Europe
42
Northern Europe
43
Southern Europe
44
Western Europe
51
Australia and New Zealand
52
Melanesia
53
Micronesia
54
Polynesia
REGIONW identifies the continent and region of each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Philippines, Municipality 1990 - 2000 [Level 3; inconsistent boundaries, harmonized by name]
Philippines, Municipality 1990 - 2000 [Level 3; inconsistent boundaries, harmonized by name]
Philippines, Municipality 1990 - 2000 [Level 3; inconsistent boundaries, harmonized by name]
Philippines, Municipality 1990 - 2000 [Level 3; inconsistent boundaries, harmonized by name]
Philippines, Municipality 1990 - 2000 [Level 3; inconsistent boundaries, harmonized by name]
1001
Bangued (Capital)
1999
Municipalities under 20,000 in Abra province
2001
Buenavista
2003
Cabadbaran
2005
Jabonga
2007
Las Nieves
2009
Nasipit
2102
Butuan City (Capital)
2999
Municipalities under 20,000 in Agusan del Norte province
3001
Bayugan
3002
Bunawan
3003
Esperanza
3004
La Paz
3005
Loreto
3006
Prosperidad (Capital)
3007
Rosario
3008
San Francisco
3009
San Luis
3010
Santa Josefa
3011
Talacogon
3012
Trento
3013
Veruela
3014
Sibagat
4001
Altavas
4002
Balete
4003
Banga
4004
Batan
4006
Ibajay
4007
Kalibo (Capital)
4009
Libacao
4011
Makato
4012
Malay
4013
Malinao
4014
Nabas
4015
New Washington
4016
Numancia
4999
Municipalities under 20,000 in Aklan province
5001
Bacacay
5002
Camalig
5003
Daraga (Locsin)
5004
Guinobatan
5006
Legazpi City (Capital)
5007
Libon
5008
Ligao
5009
Malilipot
5010
Malinao
5012
Oas
5013
Pio Duran
5014
Polangui
5015
Rapu-Rapu
5016
Santo Domingo (Libog)
5017
Tabaco
5018
Tiwi
5999
Municipalities under 20,000 in Albay province
6004
Bugasong
6005
Caluya
6006
Culasi
6007
Tobias Fornier (Dao)
6008
Hamtic
6009
Laua-An
6011
Pandan
6012
Patnongon
6013
San Jose (Capital)
6014
San Remigio
6016
Sibalom
6017
Tibiao
6999
Municipalities under 20,000 in Antique province
7001
Isabela (Capital)
7002
Lamitan
7003
Lantawan
7004
Maluso
7005
Sumisip
7006
Tipo-Tipo
7007
Tuburan
8001
Abucay
8002
Bagac
8003
Balanga (Capital)
8004
Dinalupihan
8005
Hermosa
8006
Limay
8007
Mariveles
8008
Morong
8009
Orani
8010
Orion
8011
Pilar
8012
Samal
9999
Municipalities under 20,000 in Batanes province
10001
Agoncillo
10002
Alitagtag
10003
Balayan
10005
Batangas City (Capital)
10006
Bauan
10007
Calaca
10008
Calatagan
10009
Cuenca
10010
Ibaan
10011
Laurel
10012
Lemery
10013
Lian
10014
Lipa City
10015
Lobo
10016
Mabini
10017
Malvar
10018
Mataas Na Kahoy
10019
Nasugbu
10020
Padre Garcia
10021
Rosario
10022
San Jose
10023
San Juan
10024
San Luis
10026
San Pascual
10028
Santo Tomas
10029
Taal
10030
Talisay
10031
Tanauan
10032
Taysan
10034
Tuy
10999
Municipalities under 20,000 in Batangas province
11005
Buguias
11006
Itogon
11010
La Trinidad (Capital)
11011
Mankayan
11013
Tuba
11102
Baguio City
11999
Municipalities under 20,000 in Benguet province
12002
Alicia
12009
Buenavista
12010
Calape
12011
Candijay
12012
Carmen
12013
Catigbian
12019
Dauis
12022
Garcia Hernandez
12023
Guindulman
12024
Inabanga
12025
Jagna
12026
Jetafe
12030
Loon
12031
Mabini
12033
Panglao
12034
Pilar
12035
Pres. Carlos P. Garcia (Pitogo)
12038
San Miguel
12040
Sierra Bullones
12042
Tagbilaran City (Capital)
12043
Talibon
12044
Trinidad
12045
Tubigon
12046
Ubay
12047
Valencia
12048
Bien Unido
12999
Municipalities under 20,000 in Bohol province
13001
Baungon
13002
Damulog
13004
Don Carlos
13005
Impasug-Ong
13006
Kadingilan
13007
Kalilangan
13008
Kibawe
13009
Kitaotao
13010
Lantapan
13011
Libona
13012
City Of Malaybalay (Capital)
13014
Manolo Fortich
13015
Maramag
13016
Pangantucan
13017
Quezon
13018
San Fernando
13020
Talakag
13021
Valencia
13022
Cabanglasan
13999
Municipalities under 20,000 in Bukidnon province
14001
Angat
14002
Balagtas (Bigaa)
14003
Baliuag
14004
Bocaue
14005
Bulacan
14006
Bustos
14007
Calumpit
14008
Guiguinto
14009
Hagonoy
14010
Malolos (Capital)
14011
Marilao
14012
Meycauayan
14013
Norzagaray
14014
Obando
14015
Pandi
14017
Plaridel
14018
Pulilan
14019
San Ildefonso
14020
San Jose Del Monte
14021
San Miguel
14022
San Rafael
14023
Santa Maria
14999
Municipalities under 20,000 in Bulacan province
15001
Abulug
15002
Alcala
15003
Allacapan
15004
Amulung
15005
Aparri
15006
Baggao
15007
Ballesteros
15008
Buguey
15010
Camalaniugan
15011
Claveria
15012
Enrile
15013
Gattaran
15014
Gonzaga
15015
Iguig
15016
Lal-Lo
15017
Lasam
15018
Pamplona
15019
PeƱablanca
15020
Piat
15022
Sanchez-Mira
15023
Santa Ana
15026
Santo NiƱo (Faire)
15027
Solana
15028
Tuao
15029
Tuguegarao City (Capital)
15999
Municipalities under 20,000 in Cagayan province
16001
Basud
16002
Capalonga
16003
Daet (Capital)
16005
Jose Panganiban
16006
Labo
16007
Mercedes
16008
Paracale
16010
Santa Elena
16011
Talisay
16012
Vinzons
16999
Municipalities under 20,000 in Camarines Norte province
17001
Baao
17002
Balatan
17003
Bato
17005
Buhi
17006
Bula
17008
Calabanga
17010
Canaman
17011
Caramoan
17012
Del Gallego
17014
Garchitorena
17015
Goa
17016
Iriga City
17017
Lagonoy
17018
Libmanan
17019
Lupi
17020
Magarao
17021
Milaor
17022
Minalabac
17023
Nabua
17024
Naga City
17025
Ocampo
17026
Pamplona
17027
Pasacao
17028
Pili (Capital)
17030
Ragay
17031
SagƱay
17032
San Fernando
17033
San Jose
17034
Sipocot
17036
Tigaon
17037
Tinambac
17999
Municipalities under 20,000 in Camarines Sur province
18004
Mambajao (Capital)
18999
Municipalities under 20,000 in Camiguin province
19001
Cuartero
19002
Dao
19003
Dumalag
19004
Dumarao
19005
Ivisan
19006
Jamindan
19007
Ma-Ayon
19008
Mambusao
19009
Panay
19010
Panitan
19011
Pilar
19012
Pontevedra
19013
President Roxas
19014
Roxas City (Capital)
19015
Sapi-An
19016
Sigma
19017
Tapaz
20004
Caramoran
20008
San Andres (Calolbon)
20011
Virac (Capital)
20999
Municipalities under 20,000 in Catanduanes province
21001
Alfonso
21002
Amadeo
21003
Bacoor
21004
Carmona
21005
Cavite City
21006
DasmariƱas
21008
General Trias
21009
Imus
21010
Indang
21011
Kawit
21013
Maragondon
21014
Mendez (Mendez-NuƱez)
21015
Naic
21016
Noveleta
21017
Rosario
21018
Silang
21019
Tagaytay City
21020
Tanza
21022
Trece Martires City (Capital)
21023
Gen. Mariano Alvarez
21999
Municipalities under 20,000 in Cavite province
22003
Alegria
22004
Aloguinsan
22005
Argao
22006
Asturias
22007
Badian
22008
Balamban
22009
Bantayan
22010
Barili
22011
Bogo
22013
Borbon
22014
Carcar
22015
Carmen
22016
Catmon
22018
Compostela
22019
Consolacion
22020
Cordoba
22021
Daanbantayan
22022
Dalaguete
22023
Danao City
22024
Dumanjug
22026
Lapu-Lapu City (Opon)
22027
Liloan
22028
Madridejos
22031
Medellin
22032
Minglanilla
22033
Moalboal
22034
Naga
22035
Oslob
22037
Pinamungahan
22038
Poro
22041
San Fernando
22042
San Francisco
22043
San Remigio
22044
Santa Fe
22046
Sibonga
22047
Sogod
22048
Tabogon
22050
Talisay
22051
Toledo City
22052
Tuburan
22117
Cebu City (Capital)
22230
Mandaue City
22999
Municipalities under 20,000 in Cebu province
23001
Asuncion (Saug)
23002
Babak
23003
Carmen
23005
Kapalong
23006
Kaputian
23014
New Corella
23015
Panabo
23017
Island Garden City Of Samal
23018
Santo Tomas
23019
City Of Tagum (Capital)
23999
Municipalities under 20,000 in Cebu province
24001
Bansalan
24003
Digos (Capital)
24004
Hagonoy
24005
Jose Abad Santos (Trinidad)
24006
Kiblawan
24007
Magsaysay
24008
Malalag
24009
Malita
24010
Matanao
24012
Santa Cruz
24013
Santa Maria
24014
Sulop
24016
Don Marcelino
24102
Davao City
24999
Municipalities under 20,000 in Davao (Davao del Norte) province
25001
Baganga
25002
Banaybanay
25004
Caraga
25005
Cateel
25006
Governor Generoso
25007
Lupon
25008
Manay
25009
Mati (Capital)
25010
San Isidro
25999
Municipalities under 20,000 in Davao del Sur province
26004
Borongan (Capital)
26006
Dolores
26009
Guiuan
26017
Oras
26999
Municipalities under 20,000 in Eastern Samar province
27001
Banaue
27007
Alfonso Lista (Potia)
27999
Municipalities under 20,000 in Ifugao province
28002
Bacarra
28003
Badoc
28005
Batac
28009
Dingras
28012
Laoag City (Capital)
28016
Paoay
28017
Pasuquin
28020
San Nicolas
28021
Sarrat
28022
Solsona
28023
Vintar
28999
Municipalities under 20,000 in Ilocos Norte province
29003
Bantay
29005
Cabugao
29006
Candon
29012
Magsingal
29014
Narvacan
29020
San Juan (Lapog)
29024
Santa Cruz
29025
Santa Lucia
29026
Santa Maria
29028
Santo Domingo
29030
Sinait
29033
Tagudin
29034
Vigan (Capital)
29999
Municipalities under 20,000 in Ilocos Sur province
30001
Ajuy
30002
Alimodian
30003
Anilao
30004
Badiangan
30005
Balasan
30006
Banate
30007
Barotac Nuevo
30008
Barotac Viejo
30012
Cabatuan
30013
Calinog
30014
Carles
30015
Concepcion
30016
Dingle
30017
DueƱas
30018
Dumangas
30019
Estancia
30020
Guimbal
30021
Igbaras
30023
Janiuay
30025
Lambunao
30026
Leganes
30027
Lemery
30028
Leon
30029
Maasin
30030
Miagao
30034
Oton
30035
City Of Passi
30036
Pavia
30037
Pototan
30038
San Dionisio
30039
San Enrique
30040
San Joaquin
30041
San Miguel
30043
Santa Barbara
30044
Sara
30045
Tigbauan
30122
Iloilo City (Capital)
30999
Municipalities under 20,000 in Iloilo province
31001
Alicia
31002
Angadanan
31003
Aurora
31004
Benito Soliven
31005
Burgos
31006
Cabagan
31007
Cabatuan
31008
Cauayan
31009
Cordon
31012
Echague
31013
Gamu
31014
Ilagan (Capital)
31015
Jones
31018
Delfin Albano (Magsaysay)
31019
Mallig
31020
Naguilian
31022
Quezon
31024
Ramon
31025
Reina Mercedes
31026
Roxas
31030
San Manuel
31031
San Mariano
31032
San Mateo
31034
Santa Maria
31035
City Of Santiago
31036
Santo Tomas
31037
Tumauini
31999
Municipalities under 20,000 in Isabela province
32009
Pinukpuk
32013
Tabuk (Capital)
32999
Municipalities under 20,000 in Kalinga province
33001
Agoo
33002
Aringay
33003
Bacnotan
33005
Balaoan
33006
Bangar
33007
Bauang
33010
Luna
33011
Naguilian
33013
Rosario
33014
City Of San Fernando (Capital)
33016
San Juan
33017
Santo Tomas
33020
Tubao
33999
Municipalities under 20,000 in La Union province
34001
Alaminos
34002
Bay
34003
BiƱan
34004
Cabuyao
34005
Calamba
34006
Calauan
34010
Liliw
34011
Los BaƱos
34013
Lumban
34016
Majayjay
34017
Nagcarlan
34018
Paete
34019
Pagsanjan
34021
Pangil
34022
Pila
34024
San Pablo City
34025
San Pedro
34026
Santa Cruz (Capital)
34027
Santa Maria
34028
Santa Rosa
34029
Siniloan
34030
Victoria
34999
Municipalities under 20,000 in Laguna province
35002
Baloi
35003
Baroy
35005
Kapatagan
35006
Sultan Naga Dimaporo
35008
Kolambugan
35009
Lala
35022
Tubod (Capital)
35104
Iligan City
35999
Municipalities under 20,000 in Lanao del Norte province
36002
Balabagan
36003
Balindong (Watu)
36004
Bayang
36011
Lumba-Bayabao (Maguing)
36015
Malabang
36016
Marantao
36018
Masiu
36021
Piagapo
36025
Saguiaran
36029
Tugaya
36030
Wao
36999
Municipalities under 20,000 in Lanao del Sur province
37001
Abuyog
37002
Alangalang
37003
Albuera
37005
Babatngon
37006
Barugo
37007
Bato
37008
Baybay
37010
Burauen
37013
Calubian
37014
Capoocan
37015
Carigara
37017
Dagami
37018
Dulag
37019
Hilongos
37022
Isabel
37023
Jaro
37024
Javier (Bugho)
37026
Kananga
37029
Leyte
37031
Mahaplag
37034
Matalom
37036
Merida
37038
Ormoc City
37039
Palo
37040
Palompon
37042
San Isidro
37045
Tabango
37047
Tacloban City (Capital)
37048
Tanauan
37051
Villaba
37999
Municipalities under 20,000 in Leyte province
38001
Ampatuan
38002
Buldon
38003
Buluan
38005
Datu Paglas
38006
Datu Piang
38007
Datu Odin Sinsuat (Dinaig)
38008
Shariff Aguak (Maganoy) (Capital) (25)
38010
Pagalungan
38011
Parang
38012
Sultan Kudarat (Nuling)
38013
Sultan Sa Barongis (Lambayong)
38014
Kabuntalan (Tumbao)
38015
Upi
38016
Talayan
38017
South Upi
38019
Gen. S. K. Pendatun
38020
Mamasapano
38022
Pagagawan
38999
Municipalities under 20,000 in Maguindanao province
39001
Tondo
39003
Quiapo
39004
San Nicolas
39005
Santa Cruz
39006
Sampaloc
39010
Malate
39011
Paco
39012
Pandacan
39013
Port Area
39014
Santa Ana
39999
Municipalities under 20,000 in Ncr - Manila, First District province
40001
Boac (Capital)
40003
Gasan
40004
Mogpog
40005
Santa Cruz
40999
Municipalities under 20,000 in Marinduque province
41001
Aroroy
41003
Balud
41005
Cataingan
41006
Cawayan
41007
Claveria
41008
Dimasalang
41010
Mandaon
41011
Masbate (Capital)
41012
Milagros
41013
Mobo
41015
Palanas
41016
Pio V. Corpuz (Limbuhan)
41017
Placer
41019
San Jacinto
41020
San Pascual
41021
Uson
41999
Municipalities under 20,000 in Masbate province
42001
Aloran
42003
Bonifacio
42005
Clarin
42007
Jimenez
42008
Lopez Jaena
42009
Oroquieta City (Capital)
42010
Ozamis City
42012
Plaridel
42015
Tangub City
42016
Tudela
42999
Municipalities under 20,000 in Misamis Occidental province
43001
Alubijid
43002
Balingasag
43006
Claveria
43007
El Salvador
43008
Gingoog City
43010
Initao
43011
Jasaan
43017
Magsaysay (Linugos)
43018
Manticao
43019
Medina
43021
Opol
43024
Tagoloan
43026
Villanueva
43105
Cagayan De Oro City (Capital)
43999
Municipalities under 20,000 in Misamis Oriental province
44002
Bauko
44004
Bontoc (Capital)
44999
Municipalities under 20,000 in Mountain Province province
45002
Bago City
45003
Binalbagan
45004
Cadiz City
45005
Calatrava
45007
Cauayan
45008
Enrique B. Magalona (Saravia)
45009
Escalante
45010
Himamaylan
45011
Hinigaran
45012
Hinoba-An (Asia)
45013
Ilog
45014
Isabela
45015
City Of Kabankalan
45016
La Carlota City
45017
La Castellana
45018
Manapla
45019
Moises Padilla (Magallon)
45020
Murcia
45021
Pontevedra
45022
Pulupandan
45023
Sagay City
45024
San Carlos City
45025
San Enrique
45026
Silay City
45027
Sipalay
45028
City Of Talisay
45029
Toboso
45030
Valladolid
45031
City Of Victorias
45101
Bacolod City (Capital)
45999
Municipalities under 20,000 in Negros Occidental province
46002
Ayungon
46003
Bacong
46004
Bais City
46005
Basay
46006
Bayawan (Tulong)
46007
Bindoy (Payabon)
46008
Canlaon City
46009
Dauin
46010
Dumaguete City (Capital)
46011
Guihulngan
46012
Jimalalud
46013
La Libertad
46014
Mabinay
46015
Manjuyod
46016
Pamplona
46018
Santa Catalina
46019
Siaton
46020
Sibulan
46021
Tanjay
46022
Tayasan
46023
Valencia (Luzurriaga)
46024
Vallehermoso
46025
Zamboanguita
46999
Municipalities under 20,000 in Negros Oriental province
47001
Alamada
47002
Carmen
47003
Kabacan
47004
City Of Kidapawan (Capital)
47005
Libungan
47006
Magpet
47007
Makilala
47008
Matalam
47009
Midsayap
47010
M'lang
47011
Pigkawayan
47012
Pikit
47013
President Roxas
47014
Tulunan
47016
Banisilan
47018
Arakan
47999
Municipalities under 20,000 in Cotabato (North Cotabato) province
48005
Catarman (Capital)
48006
Catubig
48007
Gamay
48008
Laoang
48010
Las Navas
48011
Lavezares
48013
Mondragon
48014
Palapag
48015
Pambujan
48018
San Isidro
48999
Municipalities under 20,000 in Northern Samar province
49001
Aliaga
49002
Bongabon
49003
Cabanatuan City
49004
Cabiao
49005
Carranglan
49006
Cuyapo
49007
Gabaldon (Bitulok and Sabani)
49008
Gapan
49009
General Mamerto Natividad
49010
General Tinio (Papaya)
49011
Guimba
49012
Jaen
49013
Laur
49014
Licab
49015
Llanera
49016
Lupao
49017
MuƱoz
49019
Palayan City (Capital)
49020
Pantabangan
49021
PeƱaranda
49022
Quezon
49023
Rizal
49024
San Antonio
49025
San Isidro
49026
San Jose City
49027
San Leonardo
49028
Santa Rosa
49029
Santo Domingo
49030
Talavera
49032
Zaragoza
49999
Municipalities under 20,000 in Nueva Ecija province
50002
Aritao
50003
Bagabag
50004
Bambang
50005
Bayombong (Capital)
50007
Dupax Del Norte
50009
Kasibu
50013
Solano
50999
Municipalities under 20,000 in Nueva Vizcaya province
51001
Abra De Ilog
51002
Calintaan
51004
Lubang
51005
Magsaysay
51006
Mamburao (Capital)
51008
Rizal
51009
Sablayan
51010
San Jose
51011
Santa Cruz
51999
Municipalities under 20,000 in Occidental Mindoro province
52001
Baco
52002
Bansud
52003
Bongabong
52004
Bulalacao (San Pedro)
52005
City Of Calapan (Capital)
52006
Gloria
52007
Mansalay
52008
Naujan
52009
Pinamalayan
52010
Pola
52012
Roxas
52014
Socorro
52015
Victoria
52999
Municipalities under 20,000 in Oriental Mindoro province
53001
Aborlan
53004
Balabac
53005
Bataraza
53006
Brooke's Point
53009
Coron
53012
El Nido (Bacuit)
53015
Narra
53016
Puerto Princesa City (Capital)
53017
Quezon
53018
Roxas
53019
San Vicente
53020
Taytay
53023
Rizal (Marcos)
53024
Sofronio EspaƱola
53999
Municipalities under 20,000 in Palawan province
54002
Apalit
54003
Arayat
54005
Candaba
54006
Floridablanca
54007
Guagua
54008
Lubao
54009
Mabalacat
54010
Macabebe
54011
Magalang
54012
Masantol
54013
Mexico
54014
Minalin
54015
Porac
54016
San Fernando (Capital)
54017
San Luis
54018
San Simon
54019
Santa Ana
54020
Santa Rita
54021
Santo Tomas
54101
Angeles City
54999
Municipalities under 20,000 in Pampanga province
55001
Agno
55002
Aguilar
55003
Alaminos
55004
Alcala
55005
Anda
55006
Asingan
55007
Balungao
55008
Bani
55009
Basista
55010
Bautista
55011
Bayambang
55012
Binalonan
55013
Binmaley
55014
Bolinao
55015
Bugallon
55017
Calasiao
55018
Dagupan City
55019
Dasol
55020
Infanta
55022
Lingayen (Capital)
55023
Mabini
55024
Malasiqui
55025
Manaoag
55026
Mangaldan
55027
Mangatarem
55028
Mapandan
55030
Pozzorubio
55031
Rosales
55032
San Carlos City
55033
San Fabian
55034
San Jacinto
55035
San Manuel
55036
San Nicolas
55037
San Quintin
55038
Santa Barbara
55039
Santa Maria
55041
Sison
55042
Sual
55043
Tayug
55044
Umingan
55045
Urbiztondo
55046
City Of Urdaneta
55047
Villasis
55048
Laoac
55999
Municipalities under 20,000 in Pangasinan province
56003
Atimonan
56005
Buenavista
56007
Calauag
56008
Candelaria
56010
Catanauan
56015
Dolores
56016
General Luna
56017
General Nakar
56018
Guinayangan
56019
Gumaca
56020
Infanta
56022
Lopez
56023
Lucban
56025
Macalelon
56027
Mauban
56028
Mulanay
56030
Pagbilao
56034
Pitogo
56036
Polillo
56038
Real
56040
San Andres
56041
San Antonio
56042
San Francisco (Aurora)
56044
San Narciso
56045
Sariaya
56046
Tagkawayan
56047
Tayabas
56048
Tiaong
56049
Unisan
56124
Lucena City (Capital)
56999
Municipalities under 20,000 in Quezon province
57001
Aglipay
57002
Cabarroguis (Capital)
57003
Diffun
57004
Maddela
57999
Municipalities under 20,000 in Quirino province
58001
Angono
58002
City Of Antipolo
58003
Baras
58004
Binangonan
58005
Cainta
58006
Cardona
58007
Jala-Jala
58008
Rodriguez (Montalban)
58009
Morong
58010
Pililla
58011
San Mateo
58012
Tanay
58013
Taytay
58014
Teresa
59009
Odiongan
59010
Romblon
59011
San Agustin
59013
San Fernando
59999
Municipalities under 20,000 in Romblon province
60002
Basey
60003
Calbayog City
60005
Catbalogan (Capital)
60006
Daram
60007
Gandara
60016
Santa Margarita
60017
Santa Rita
60020
Tarangnan
60021
Villareal
60022
Paranas (Wright)
60999
Municipalities under 20,000 in Samar (Western Samar) province
61006
Siquijor (Capital)
61999
Municipalities under 20,000 in Siquijor province
62001
Bacon
62003
Bulan
62004
Bulusan
62005
Casiguran
62006
Castilla
62007
Donsol
62008
Gubat
62009
Irosin
62010
Juban
62011
Magallanes
62012
Matnog
62013
Pilar
62016
Sorsogon (Capital)
62999
Municipalities under 20,000 in Sorsogon province
63002
Banga
63006
Koronadal (Capital)
63011
Norala
63012
Polomolok
63013
Surallah
63014
Tampakan
63015
Tantangan
63016
T'boli
63017
Tupi
63018
Santo NiƱo
63019
Lake Sebu
63103
General Santos City (Dadiangas)
64002
Bontoc
64003
Hinunangan
64007
Maasin (Capital)
64008
Macrohon
64012
Saint Bernard
64017
Sogod
64999
Municipalities under 20,000 in Southern Leyte province
65001
Bagumbayan
65002
Columbio
65003
Esperanza
65004
Isulan (Capital)
65005
Kalamansig
65006
Lebak
65007
Lutayan
65008
Lambayong (Mariano Marcos)
65009
Palimbang
65010
President Quirino
65011
Tacurong
65012
Sen. Ninoy Aquino
66001
Indanan
66002
Jolo (Capital)
66003
Kalingalan Caluang
66004
Luuk
66005
Maimbung
66007
Old Panamao
66008
Pangutaran
66009
Parang
66011
Patikul
66012
Siasi
66013
Talipao
66016
Panglima Estino (New Panamao)
66999
Municipalities under 20,000 in Sulu province
67003
Basilisa (Rizal)
67014
Mainit
67017
Placer
67024
Surigao City (Capital)
67028
San Jose
67999
Municipalities under 20,000 in Surigao del Norte province
68001
Barobo
68003
Bislig
68005
Cantilan
68009
Hinatuan
68011
Lianga
68012
Lingig
68016
San Miguel
68017
Tagbina
68018
Tago
68019
Tandag (Capital)
68999
Municipalities under 20,000 in Surigao del Sur province
69002
Bamban
69003
Camiling
69004
Capas
69005
Concepcion
69006
Gerona
69007
La Paz
69008
Mayantoc
69009
Moncada
69010
Paniqui
69011
Pura
69014
San Manuel
69015
Santa Ignacia
69016
City Of Tarlac (Capital)
69017
Victoria
69018
San Jose
69999
Municipalities under 20,000 in Tarlac province
70001
Panglima Sugala (Balimbing) (Capital)
70002
Bongao
70004
Simunul
70005
Sitangkai
70006
South Ubian
70007
Tandubas
70009
Languyan
70010
Sapa-Sapa
70999
Municipalities under 20,000 in Tawi-Tawi province
71001
Botolan
71003
Candelaria
71004
Castillejos
71005
Iba (Capital)
71006
Masinloc
71008
Palauig
71009
San Antonio
71011
San Marcelino
71012
San Narciso
71013
Santa Cruz
71014
Subic
71107
Olongapo City
71999
Municipalities under 20,000 in Zambales province
72001
Dapitan City
72002
Dipolog City (Capital)
72003
Katipunan
72005
Labason
72006
Liloy
72007
Manukan
72010
Polanco
72011
Pres. Manuel A. Roxas
72013
Salug
72014
Sergio OsmeƱa Sr.
72015
Siayan
72016
Sibuco
72018
Sindangan
72019
Siocon
72022
Jose Dalman (Ponot)
72023
Gutalac
72027
Kalawit
72999
Other municipalities in Zamboanga del Norte province
73001
Alicia
73002
Aurora
73003
Bayog
73004
Buug
73005
Dimataling
73006
Dinas
73007
Dumalinao
73008
Dumingag
73009
Ipil
73010
Kabasalan
73011
Kumalarang
73012
Labangan
73013
Lapuyan
73014
Mabuhay
73015
Mahayag
73016
Malangas
73017
Margosatubig
73018
Midsalip
73019
Molave
73020
Naga
73021
Olutanga
73022
Pagadian City (Capital)
73023
Ramon Magsaysay (Liargo)
73025
San Pablo
73026
Siay
73027
Tabina
73028
Tambulig
73029
Titay
73030
Tukuran
73031
Tungawan
73035
Payao
73036
Imelda
73038
Pitogo
73039
Diplahan
73042
Roseller Lim
73132
Zamboanga City
73999
Municipalities under 20,000 in Zamboanga del Sur province
74101
City Of Mandaluyong
74202
City Of Marikina
74303
City Of Pasig
74404
Quezon City
74505
San Juan
75104
City Of Valenzuela
75201
Kalookan City
75302
Malabon
75403
Navotas
76101
City Of Las PiƱas
76202
City Of Makati
76303
City Of Muntinlupa
76404
City Of ParaƱaque
76505
Pasay City
76606
Pateros
76707
Taguig
77001
Baler
77002
Casiguran
77005
Dingalan
77006
Dipaculao
77007
Maria Aurora
77008
San Luis
77999
Municipalities under 20,000 in Aurora province
78008
Naval (Capital)
78999
Municipalities under 20,000 in Biliran province
79001
Buenavista
79002
Jordan
79003
Nueva Valencia
79004
San Lorenzo
79005
Sibunag
80001
Alabel (Capital)
80002
Glan
80003
Kiamba
80004
Maasim
80005
Maitum
80006
Malapatan
80007
Malungon
81002
Conner
81999
Municipalities under 20,000 in Apayao province
82001
Compostela
82002
Laak (San Vicente)
82003
Mabini (DoƱa Alicia)
82004
Maco
82005
Maragusan (San Mariano)
82006
Mawab
82007
Monkayo
82008
Montevista
82009
Nabunturan
82010
New Bataan
82011
Pantukan
98104
Cotabato City
98217
Marawi City
MUNIPH indicates the municipality in the Philippines in which the household was enumerated. MUNIPH is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for the Philippines can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Philippines, City
Philippines, City
Philippines, City
Philippines, City
Philippines, City
1
Butuan
2
Baguio
3
Cebu
4
Mandaue
5
Davao
6
Iloilo
7
Iligan
8
Cagayan De Oro
9
Bacolod
10
Angeles
11
Lucena
12
General Santos
13
Olongapo
14
Zamboanga
15
Mandaluyong
16
Marikina
17
Pasig
18
Quezon
19
Valenzuela
20
Kalookan
21
Las PiƱas
22
Makati
23
Muntinlupa
24
ParaƱaque
25
Pasay
26
Cotabato
27
Marawi
28
Manila
99
Not in an identified city
CITYPH indicates the city in the Philippines in which the household was enumerated. CITYPH is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for the Philippines can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Land ownership
Land ownership
Land ownership
Land ownership
Land ownership
NIU (not in universe)
10
Land owned by a resident
11
Owned, fully paid for
12
Owned, still paying
13
Freehold tenure
14
Customary land
20
Land not owned
21
Rented
22
Ceded
23
Mailo land tenure
24
Free, occupied with consent
25
Free, occupied without consent
26
Free, consent not specified
27
Communal
28
Right to build
29
Right to use
30
Other, not specified
99
Unknown
This variable indicates whether the land on which the dwelling was located was owned, either in full or in part, by one of the dwelling's residents.
Conceivably, a resident might own land but not the dwelling on which it resides. Such a case would be classified as NIU (not in universe): only dwellings indicating that a resident owned the dwelling were asked about land ownership.
Household Economic Variables -- HOUSEHOLD
IPUMS
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
Telephone availability
Telephone availability
Telephone availability
Telephone availability
Telephone availability
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
PHONE indicates the availability of a telephone in the dwelling.
Utilities Variables -- HOUSEHOLD
IPUMS
Trash disposal
Trash disposal
Trash disposal
Trash disposal
Trash disposal
NIU (not in universe)
10
Collected by a sanitation service
11
Collected directly from the household or dwelling
12
Collected indirectly from a garbage container or deposit
13
Collected by a sanitation service only
14
Collected by a sanitation service and disposed of in some other manner
20
Disposed of in some other manner
21
Burned or buried
22
Burned
23
Buried
24
Thrown into street, vacant land, or common area
25
Thrown into river, lake, ocean, lagoon, etc.
26
Thrown into canyon or gulley
27
Dumped in pit
28
Communal refuse dump
29
Own refuse dump
30
Authorized refuse dump
31
Illegal refuse dump
32
Other dumping
33
Outside
34
In the fields
35
Fed to animals
36
Composted
37
Heap
38
Garden
39
Other, none
99
Unknown/missing
This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner.
Utilities Variables -- HOUSEHOLD
IPUMS
Clothes washing machine
Clothes washing machine
Clothes washing machine
Clothes washing machine
Clothes washing machine
NIU (not in universe)
1
No
2
Yes
3
Automatic or semi-automatic
4
Wringer or other non-automatic
9
Unknown/missing
WASHER indicates whether the household had a clothes washing machine.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Refrigerator
Refrigerator
Refrigerator
Refrigerator
Refrigerator
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
REFRIG indicates whether the household had a refrigerator.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Television set
Television set
Television set
Television set
Television set
NIU (not in universe)
10
No
20
Yes, color or black-and-white not specified
21
1 television
22
2 televisions
23
3 televisions
24
4 televisions
25
5 televisions
26
6 televisions
27
7 televisions
28
8 televisions
29
9+ televisions
30
Yes, color only
31
1 color tv
32
2 color tvs
33
3+ color tvs
40
Yes, black-and-white only
41
1 black-white tv
42
2 black-white tvs
43
3+ black-white tvs
50
Yes, both color and black-and-white
52
2+ color and black-white tvs
53
3+ color and black-white tvs
54
4+ color and black-white tvs
99
Unknown/missing
TV indicates whether the household had a television.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Videocassette recorder
Videocassette recorder
Videocassette recorder
Videocassette recorder
Videocassette recorder
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
VCR indicates whether the household had a videocassette recorder or similar device.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Radio in household
Radio in household
Radio in household
Radio in household
Radio in household
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
RADIO indicates whether the household had a radio.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
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
Wall or building material
Wall or building material
Wall or building material
Wall or building material
Wall or building material
NIU (not in universe)
100
No walls
200
Cardboard, scrap, and miscellaneous materials
201
Waste, scrap, or discarded material
202
Fabric or discarded material
203
Zinc, fabric, cardboard, tins, and waste material
204
Cardboard sheet
205
Plastic sheeting, cardboard
206
Makeshift, salvaged, or improvised materials
207
Reused materials
300
Wood
310
Rough wood
320
Wood, fibercement or plywood
330
Wood, formica, and other
340
Wood or bamboo
350
Wood or straw
400
Other plant-based materials
401
Plantain leaves and similar material
402
Bamboo or cane
403
Bamboo, sawali, cogon, nipa
404
Straw or bamboo
405
Grass, straw or reed
406
Reed, bamboo, or palm
407
Cane, palm leaves, logs
408
Palm leaves or palm planks
500
Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood)
501
Brick, block, stone, or cement
502
Brick, stone, concrete
503
Brick, stone, or substitutes (dividing panels made of reinforced concrete)
504
Brick, stone, or substitutes (dividing panels made of wood)
505
Brick or tile
506
Brick or stone
507
Brick or cement block
508
Brick with plaster exterior
509
Brick without plaster exterior
510
Burnt or stabilized brick
511
Brick
512
Unburnt brick
513
Unburnt brick with cement
514
Unburnt brick with mud
515
Concrete
516
Landcrete
517
Cement blocks
518
Cement blocks or brick
519
Cement blocks or brick, unfinished
520
Cement and adobe bricks
521
Cement and stone block
522
Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete
523
Concrete, reinforced concrete, blocks, panels
524
Adobe
525
Adobe walls with plaster exterior
526
Adobe walls without plaster exterior
527
Adobe with cement exterior
528
Adobe (tabique, quinche)
529
Wood and earth adobe
530
Wood and cement adobe
531
Mud or adobe
532
Pressed dirt
533
Clay
534
Coated clay/mud with sticks/cane
535
Clay or clay-covered sticks
536
Netted bamboo or cane with mud
537
Bundle of mud, straw, other materials
538
Mud with wood/wattle
539
Pole and mud
540
Mud with cement
541
Unfinished lathe and plaster, stucco, etc.
542
Stone
543
Hand-laid stone
544
Quarried stone
545
Cut stone and concrete
546
Cemented stone
547
Stone with clay
548
Blocks of light material
549
Prefabricated material
550
Asbestos
551
Metal or asbestos sheet
552
Metal or iron sheet
553
Metal or fibercement sheeting
554
Galvanized iron or aluminum
555
Tin
556
Glass
557
Cloth
558
Covintec panels
559
Mixed material
560
Mixed material: part wood; part concrete, brick, or stone
561
Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc.
570
Mainly permanent materials
600
Other material
999
Unknown/missing
This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Roof material
Roof material
Roof material
Roof material
Roof material
NIU (not in universe)
10
Masonry, concrete, clay tile, or tiles of unspecified type
11
Concrete or cement
12
Reinforced concrete (slab)
13
Cement or sheet metal
14
Tile, unspecified
15
Clay tile
16
Tile or cement
17
Modern tiles, industrial
18
Traditional tiles, locally made
19
Tile or flat stone
20
Fibercement or plastic
21
Asphalt or laminate cover
22
Tile, cement, asphalt
23
Asphalt tile
24
Slate or tile
25
Slate or asbestos
26
Asbestos
27
Adobe
28
Tiles or wood planks
29
Roofing shingles
30
Metal
31
Sheet metal
32
Zinc or tin
33
Tin
34
Sheet metal or other sheet material
35
Sheet metal, tile, slate
40
Wood and other plant materials
41
Wood
42
Wood, including bamboo
43
Bamboo
44
Cogon, nipa, anahaw
45
Thatch (straw, grass, leaves, palm, etc.)
46
Cane, wood, straw
47
Grass
48
Papyrus
49
Banana leaves or fiber
50
Palm or makuti
51
Plant material or wood with clay
52
Grass and mud
53
Straw, bamboo, polythene
54
Rustic mat
60
Mud or earth
61
Clay
70
Cardboard, scrap, and miscellaneous materials
71
Discarded or scrap material
72
Cardboard
73
Plastic
80
Other, unspecified
99
Unknown/missing
This variable indicates the dwelling's predominant roofing material.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Intended residence in 5 years, Philippines
Intended residence in 5 years, Philippines
Intended residence in 5 years, Philippines
Intended residence in 5 years, Philippines
Intended residence in 5 years, Philippines
Same city/municipality
1
Abra
2
Agusan Del Norte
3
Agusan Del Sur
4
Aklan
5
Albay
6
Antique
7
Basilan
8
Bataan
9
Batanes
10
Batangas
11
Benguet
12
Bohol
13
Bukidnon
14
Bulacan
15
Cagayan
16
Camarines Norte
17
Camarines Sur
18
Camiguin
19
Capiz
20
Catanduanes
21
Cavite
22
Cebu
23
Davao (Davao Del Norte)
24
Davao Del Sur
25
Davao Oriental
26
Eastern Samar
27
Ifugao
28
Ilocos Norte
29
Ilocos Sur
30
Iloilo
31
Isabela
32
Kalinga
33
La Union
34
Laguna
35
Lanao Del Norte
36
Lanao Del Sur
37
Leyte
38
Maguindanao
39
Manila, Metro First District
40
Marinduque
41
Masbate
42
Misamis Occidental
43
Misamis Oriental
44
Mountain Province
45
Negros Occidental
46
Negros Oriental
47
Cotabato (North Cotabato)
48
Northern Samar
49
Nueva Ecija
50
Nueva Vizcaya
51
Occidental Mindoro
52
Oriental Mindoro
53
Palawan
54
Pampanga
55
Pangasinan
56
Quezon
57
Quirino
58
Rizal
59
Romblon
60
Samar (Western Samar)
61
Siquijor
62
Sorsogon
63
South Cotabato
64
Southern Leyte
65
Sultan Kudarat
66
Sulu
67
Surigao Del Norte
68
Surigao Del Sur
69
Tarlac
70
Tawi-Tawi
71
Zambales
72
Zamboanga Del Norte
73
Zamboanga Del Sur
74
Metro Manila, Second District
75
Metro Manila, Third District
76
Metro Manila, Fourth District
77
Aurora
78
Biliran
79
Guimaras
80
Sarangani
81
Apayao
82
Compostela Valley
88
Cotabato and Marawi
90
Foreign country
99
No response/unknown
MGFUTPH reports the household's intended province of residence five years from the time of the census.
Other Household Variables -- HOUSEHOLD
IPUMS
Household classification
Household classification
Household classification
Household classification
Household classification
Vacant household
1
One-person household
2
Married/cohab couple, no children
3
Married/cohab couple with children
4
Single-parent family
5
Polygamous family
6
Extended family, relatives only
7
Composite household, family and non-relatives
8
Non-family household
9
Unclassified subfamily
10
Other relative or non-relative household
11
Group quarters
99
Unclassifiable
HHTYPE is a constructed variable that describes the composition of households.
HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Number of families in household
Vacant household
1
1 family
2
2 families
3
3 families
4
4 families
5
5 families
6
6 families
7
7 families
8
8 families
9
9 or more families
NFAMS is a constructed variable that indicates the number of families within each household. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and her servant contains two families; a household consisting of a large, multiple-generation extended family with no lodgers or servants would count as a single family.
NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail.
Constructed Household Variables -- HOUSEHOLD
IPUMS
Head's location in household
Head's location in household
Head's location in household
Head's location in household
Head's location in household
HEADLOC gives the person number of the head of household in samples in which persons are organized into households.
Constructed Household Variables -- HOUSEHOLD
IPUMS
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
1st subnational geographic level, world [consistent boundaries over time]
32002
City of Buenos Aires [Province: Argentina]
32006
Buenos Aires province [Province: Argentina]
32010
Catamarca [Province: Argentina]
32014
CĆ³rdoba [Province: Argentina]
32018
Corrientes [Province: Argentina]
32022
Chaco [Province: Argentina]
32026
Chubut [Province: Argentina]
32030
Entre RĆos [Province: Argentina]
32034
Formosa [Province: Argentina]
32038
Jujuy [Province: Argentina]
32042
La Pampa [Province: Argentina]
32046
La Rioja [Province: Argentina]
32050
Mendoza [Province: Argentina]
32054
Misiones [Province: Argentina]
32058
NeuquƩn [Province: Argentina]
32062
RĆo Negro [Province: Argentina]
32066
Salta [Province: Argentina]
32070
San Juan [Province: Argentina]
32074
San Luis [Province: Argentina]
32078
Santa Cruz [Province: Argentina]
32082
Santa Fe [Province: Argentina]
32086
Santiago del Estero [Province: Argentina]
32090
TucumƔn [Province: Argentina]
32094
Tierra del Fuego [Province: Argentina]
32099
Unknown [Province: Argentina]
40011
Burgenland [State: Austria]
40012
Niederƶsterreich [State: Austria]
40013
Wien [State: Austria]
40021
KƤrnten [State: Austria]
40022
Steiermark [State: Austria]
40031
Oberƶsterreich [State: Austria]
40032
Salzburg [State: Austria]
40033
Tirol [State: Austria]
40034
Vorarlberg [State: Austria]
50010
Barisal [Division, Bangladesh]
50020
Chittagong [Division, Bangladesh]
50030
Dhaka [Division, Bangladesh]
50040
Khulna [Division, Bangladesh]
50050
Rajshahi, Rangpur [Division, Bangladesh]
50060
Sylhet [Division, Bangladesh]
51901
Yerevan [Province: Armenia]
51902
Aragatsotn [Province: Armenia]
51903
Ararat [Province: Armenia]
51904
Armavir [Province: Armenia]
51905
Gegharkunik [Province: Armenia]
51906
Lori [Province: Armenia]
51907
Kotayk [Province: Armenia]
51908
Shirak [Province: Armenia]
51909
Syunik [Province: Armenia]
51910
Vayots Dzor [Province: Armenia]
51911
Tavush [Province: Armenia]
68001
Chuquisaca [Department: Bolivia]
68002
La Paz [Department: Bolivia]
68003
Cochabamba [Department: Bolivia]
68004
Oruro [Department: Bolivia]
68005
PotosĆ [Department: Bolivia]
68006
Tarija [Department: Bolivia]
68007
Santa Cruz [Department: Bolivia]
68008
Beni [Department: Bolivia]
68009
Pando [Department: Bolivia]
76011
Rondonia [State: Brazil]
76012
Acre [State: Brazil]
76013
Amazonas [State: Brazil]
76014
Roraima [State: Brazil]
76015
ParĆ” [State: Brazil]
76016
Amapa [State: Brazil]
76021
Maranhao [State: Brazil]
76022
PiauĆ [State: Brazil]
76023
CearĆ” [State: Brazil]
76024
Rio Grande do Norte [State: Brazil]
76025
Paraiba [State: Brazil]
76026
Pernambuco [State: Brazil]
76027
Alagoas [State: Brazil]
76028
Sergipe [State: Brazil]
76029
Bahia [State: Brazil]
76031
Minas Gerais [State: Brazil]
76032
EspĆrito Santo [State: Brazil]
76033
Rio de Janeiro [State: Brazil]
76035
SĆ£o Paulo [State: Brazil]
76041
Parana [State: Brazil]
76042
Santa Catarina [State: Brazil]
76043
Rio Grande do Sul [State: Brazil]
76051
Mato Grosso, Mato Grosso do Sul [State: Brazil]
76052
GoiƔs and Tocantins [State: Brazil]
76053
Distrito Federal [State: Brazil]
112001
Brest [Region: Belarus]
112002
Vitebsk [Region: Belarus]
112003
Gomel [Region: Belarus]
112004
Grodno [Region: Belarus]
112006
Minsk [Region: Belarus]
112007
Mogilev [Region: Belarus]
116001
Banteay Meanchey [Province: Cambodia]
116002
Battambang [Province: Cambodia]
116003
Kampong Cham [Province: Cambodia]
116004
Kampong Chhnang [Province: Cambodia]
116005
Kampong Speu [Province: Cambodia]
116006
Kampong Thom [Province: Cambodia]
116007
Kampot [Province: Cambodia]
116008
Kandal [Province: Cambodia]
116009
Koh Kong [Province: Cambodia]
116010
Kratie [Province: Cambodia]
116011
Mondul Kiri [Province: Cambodia]
116012
Phnom Penh [Province: Cambodia]
116013
Preah Vihear [Province: Cambodia]
116014
Prey Veng [Province: Cambodia]
116015
Pursat [Province: Cambodia]
116016
Rotanak Kiri [Province: Cambodia]
116017
Siem Reap and Otdar Meanchey [Province: Cambodia]
116018
Preah Sihanouk [Province: Cambodia]
116019
Stung Treng [Province: Cambodia]
116020
Svay Rieng [Province: Cambodia]
116021
Takeo [Province: Cambodia]
116023
Kep [Province: Cambodia]
116024
Pailin [Province: Cambodia]
120002
Centre, Sud [Province: Cameroon]
120003
Est [Province: Cameroon]
120004
Nord, Adamoua , ExtrĆØme Nord [Province: Cameroon]
120005
Littoral [Province: Cameroon]
120007
Nord Ouest [Province: Cameroon]
120008
Ouest [Province: Cameroon]
120010
Sud Ouest [Province: Cameroon]
124010
Newfoundland and Labrador [Province: Canada]
124011
Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada]
124012
Nova Scotia [Province: Canada]
124013
New Brunswick [Province: Canada]
124024
Quebec [Province: Canada]
124035
Ontario [Province: Canada]
124046
Manitoba [Province: Canada]
124047
Saskatchewan [Province: Canada]
124048
Alberta [Province: Canada]
124059
British Columbia [Province: Canada]
152002
Antofagasta and TarapacĆ” [Region: Chile]
152004
Atacama and Coquimbo [Region: Chile]
152007
Del Maule [Region: Chile]
152008
Del Biobio [Region: Chile]
152009
La AraucanĆa [Region: Chile]
152010
Aysen del Gral Carlos IbƔƱez del Campo and Los Lagos [Region: Chile]
152012
Magallanes and La AntƔrtica Chilena [Region: Chile]
152013
Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile]
152099
Unknown [Region: Chile]
156011
Beijing (municipality) [Province: China]
156012
Tianjin (municipality) [Province: China]
156013
Hebei [Province: China]
156014
Shanxi [Province: China]
156015
Inner Mongolia [Province: China]
156021
Liaoning [Province: China]
156022
Jilin [Province: China]
156023
Heilongjiang [Province: China]
156031
Shanghai (municipality) [Province: China]
156032
Jiangsu [Province: China]
156033
Zhejiang [Province: China]
156034
Anhui [Province: China]
156035
Fujian [Province: China]
156036
Jiangxi [Province: China]
156037
Shangdong [Province: China]
156041
Henan [Province: China]
156042
Hubei [Province: China]
156043
Hunan [Province: China]
156044
Guangdong and Hainan [Province: China]
156045
Guangxi [Province: China]
156051
Sichuan [Province: China]
156052
Guizhou [Province: China]
156053
Yunnan [Province: China]
156054
Tibet [Province: China]
156061
Shaanxi [Province: China]
156062
Gansu [Province: China]
156063
Qinghai [Province: China]
156064
Ningxia [Province: China]
156065
Xinjiang [Province: China]
170005
Antioquia [Department: Colombia]
170008
AtlƔntico [Department: Colombia]
170011
BogotĆ” [Department: Colombia]
170013
BolĆvar and Sucre [Department: Colombia]
170015
BoyacĆ” and Casanare [Department: Colombia]
170018
CaquetĆ” [Department: Colombia]
170019
Cauca [Department: Colombia]
170023
CĆ³rdoba [Department: Colombia]
170025
Cundinamarca [Department: Colombia]
170027
ChocĆ³ [Department: Colombia]
170041
Huila [Department: Colombia]
170044
La Guajira [Department: Colombia]
170047
Cesar and Magdalena [Department: Colombia]
170050
Meta and Vichada [Department: Colombia]
170052
NariƱo [Department: Colombia]
170054
Norte de Santander [Department: Colombia]
170066
Caldas, QuindĆo, and Risaralda [Department: Colombia]
170068
Santander [Department: Colombia]
170073
Tolima [Department: Colombia]
170076
Valle [Department: Colombia]
170081
Arauca [Department: Colombia]
170086
Putumayo [Department: Colombia]
170088
San AndrƩs [Department: Colombia]
170091
Amazonas [Department: Colombia]
170095
Guaviare, VaupĆ©s, and GuainĆa [Department: Colombia]
188001
San JosƩ [Province: Costa Rica]
188002
Alajuela [Province: Costa Rica]
188003
Cartago [Province: Costa Rica]
188004
Heredia [Province: Costa Rica]
188005
Guanacaste [Province: Costa Rica]
188006
Puntarenas [Province: Costa Rica]
188007
LimĆ³n [Province: Costa Rica]
192001
Pinar del RĆo [Province: Cuba]
192002
La Habana [Province: Cuba]
192003
Ciudad de la Habana [Province: Cuba]
192004
Matanzas [Province: Cuba]
192005
Villa Clara [Province: Cuba]
192006
Cienfuegos [Province: Cuba]
192007
Sancti Spiritus [Province: Cuba]
192008
Ciego de Avila [Province: Cuba]
192009
CamagĆ¼ey [Province: Cuba]
192010
Las Tunas [Province: Cuba]
192011
HolguĆn [Province: Cuba]
192012
Granma [Province: Cuba]
192013
Santiago de Cuba [Province: Cuba]
192014
GuantƔnamo [Province: Cuba]
192099
Isla de la Juventud [Province: Cuba]
214001
Federal district and Santo Domingo [Province: Dominican Republic]
214002
Azua [Province: Dominican Republic]
214003
Baoruco [Province: Dominican Republic]
214004
Barahona [Province: Dominican Republic]
214005
DajabĆ³n [Province: Dominican Republic]
214006
Duarte [Province: Dominican Republic]
214007
ElĆas PiƱa [Province: Dominican Republic]
214008
El Seibo and Hato Mayor [Province: Dominican Republic]
214009
Espaillat [Province: Dominican Republic]
214010
Independencia [Province: Dominican Republic]
214011
La Altagracia and La Romana [Province: Dominican Republic]
214013
La Vega and MonseƱor Nouel [Province: Dominican Republic]
214014
MarĆa Trinidad SĆ”nchez and SamanĆ” [Province: Dominican Republic]
214015
Monte Cristi [Province: Dominican Republic]
214016
Pedernales [Province: Dominican Republic]
214017
Peravia and San JosƩ de Ocoa [Province: Dominican Republic]
214018
Puerto Plata [Province: Dominican Republic]
214019
Hermanas Mirabal [Province: Dominican Republic]
214021
San CristĆ³bal and Monte Plata [Province: Dominican Republic]
214022
San Juan [Province: Dominican Republic]
214023
San Pedro de MacorĆs [Province: Dominican Republic]
214024
SĆ”nchez RamĆrez [Province: Dominican Republic]
214025
Santiago [Province: Dominican Republic]
214026
Santiago RodrĆguez [Province: Dominican Republic]
214027
Valverde [Province: Dominican Republic]
218001
Azuay [Province: Ecuador]
218002
BolĆvar [Province: Ecuador]
218004
Carchi [Province: Ecuador]
218005
Cotopaxi [Province: Ecuador]
218006
Chimborazo [Province: Ecuador]
218007
El Oro [Province: Ecuador]
218009
CaƱar, Esmeraldas, Guayas, ManabĆ, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los RĆos, Santa Elena, Santo Domingo de las TsĆ”chilas, GalĆ”pagos [Disputed canton], Pichincha, El Piedrero
218010
Imbabura, Las Golondrinas [Disputed canton] [Disputed canton]
218011
Loja [Province: Ecuador]
218014
Morona Santiago [Province: Ecuador]
218016
Pastaza [Province: Ecuador]
218018
Tungurahua [Province: Ecuador]
218019
Zamora Chinchipe [Province: Ecuador]
218021
Napo, Orellana, SucumbĆos [Province: Ecuador]
218099
Unknown [Province: Ecuador]
222001
AhuachapƔn [Department: El Salvador]
222002
Santa Ana [Department: El Salvador]
222003
Sonsonate [Department: El Salvador]
222004
Chalatenango [Department: El Salvador]
222005
La Libertad [Department: El Salvador]
222006
San Salvador [Department: El Salvador]
222007
CuscatlƔn [Department: El Salvador]
222008
La Paz [Department: El Salvador]
222009
CabaƱas [Department: El Salvador]
222010
San Vicente [Department: El Salvador]
222011
UsulutƔn [Department: El Salvador]
222012
San Miguel [Department: El Salvador]
222013
MorazƔn [Department: El Salvador]
222014
La UniĆ³n [Department: El Salvador]
231001
Tigray [Region: Ethiopia]
231002
Affar [Region: Ethiopia]
231003
Amhara [Region: Ethiopia]
231004
Oromiya [Region: Ethiopia]
231005
Somali [Region: Ethiopia]
231006
Benishangul-Gumz [Region: Ethiopia]
231007
Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia]
231012
Gambela [Region: Ethiopia]
231013
Harari [Region: Ethiopia]
231014
Addis Ababa [Region: Ethiopia]
231015
Dire Dawa [Region: Ethiopia]
231017
Special region [Region: Ethiopia]
238094
Falkland Islands [Province: Argentina]
239094
South Georgia and South Sandwich Islands [Province: Argentina]
242001
Ba [Province: Fiji]
242003
Bua, Cakaudrove [Province: Fiji]
242006
Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji]
242007
Macuata [Province: Fiji]
242008
Nadroha [Province: Fiji]
242009
Naitasiri, Rewa [Province: Fiji]
242011
Ra [Province: Fiji]
242014
Serua, Namosi [Province: Fiji]
242015
Tailevu [Province: Fiji]
242099
Ships, unknown [Province: Fiji]
250001
Guadeloupe [Oversea Department, France]
250002
Martinique [Oversea Department, France]
250003
French Guyana [Oversea Department, France]
250004
RĆ©union Island [Oversea Department, France]
250011
Ćle-de-France [Region: France]
250021
Champagne-Ardenne [Region: France]
250022
Picardy [Region: France]
250023
Upper Normandy [Region: France]
250024
Centre [Region: France]
250025
Lower Normandy [Region: France]
250026
Burgundy [Region: France]
250031
North Pas-de-Calais [Region: France]
250041
Lorraine [Region: France]
250042
Alsace [Region: France]
250043
Franche-ComtƩ [Region: France]
250052
Loire Valley [Region: France]
250053
Brittany [Region: France]
250054
Poitou-Charentes [Region: France]
250072
Aquitaine [Region: France]
250073
Midi-PyrƩnƩes [Region: France]
250074
Limousin [Region: France]
250082
RhƓne-Alpes [Region: France]
250083
Auvergne [Region: France]
250091
Languedoc-Roussillon [Region: France]
250093
Provence-Alpes-Riviera [Region: France]
250094
Corsica [Region: France]
250999
Unknown [Region: France]
275001
Jenin [Governorate: Palestine]
275005
Tubas [Governorate: Palestine]
275010
Tulkarm [Governorate: Palestine]
275015
Nablus [Governorate: Palestine]
275020
Qalqiliya [Governorate: Palestine]
275025
Salfit [Governorate: Palestine]
275030
Ramallah and Al-Bireh [Governorate: Palestine]
275035
Jericho [Governorate: Palestine]
275040
Jerusalem [Governorate: Palestine]
275045
Bethlehem [Governorate: Palestine]
275050
Hebron [Governorate: Palestine]
275055
North Gaza [Governorate: Palestine]
275060
Gaza [Governorate: Palestine]
275065
Deir Al-Balah [Governorate: Palestine]
275070
Khan Yunis [Governorate: Palestine]
275075
Rafah [Governorate: Palestine]
276001
Schleswig-Holstein [State: Germany]
276002
Hamburg [State: Germany]
276003
Niedersachsen [State: Germany]
276004
Bremen [State: Germany]
276005
Nordrhein-Westfalen [State: Germany]
276006
Hessen [State: Germany]
276007
Rheinland-Pfalz [State: Germany]
276008
Baden-WĆ¼rttemberg [State: Germany]
276009
Bayern [State: Germany]
276010
Saarland [State: Germany]
276012
Brandenburg [State: Germany]
276013
Mecklenburg-West Pomerania [State: Germany]
276014
Saxony [State: Germany]
276015
Saxony-Anhalt [State: Germany]
276016
Thuringia [State: Germany]
276017
East Berlin [State: Germany]
276018
West Berlin [State: Germany]
276099
NIU (Not in universe) [State: Germany]
288001
Western [Region: Ghana]
288002
Central [Region: Ghana]
288003
Greater Accra [Region: Ghana]
288004
Volta [Region: Ghana]
288005
Eastern [Region: Ghana]
288006
Ashanti [Region: Ghana]
288007
Brong Ahafo [Region: Ghana]
288008
Northern [Region: Ghana]
288009
Upper East [Region: Ghana]
288010
Upper West [Region: Ghana]
300001
Etolia and Akarnania [Department: Greece]
300003
Viotia [Department: Greece]
300004
Evia [Department: Greece]
300005
Evrytania [Department: Greece]
300006
Fthiotida [Department: Greece]
300007
Fokida [Department: Greece]
300011
Argolida [Department: Greece]
300012
Arkadia [Department: Greece]
300013
Achaia [Department: Greece]
300014
Ilia [Department: Greece]
300015
Korinthia [Department: Greece]
300016
Lakonia [Department: Greece]
300017
Messinia [Department: Greece]
300021
Zakynthos [Department: Greece]
300022
Kerkyra [Department: Greece]
300023
Kefallinia [Department: Greece]
300024
Lefkada [Department: Greece]
300031
Arta [Department: Greece]
300032
Thesprotia [Department: Greece]
300033
Ioannina [Department: Greece]
300034
Preveza [Department: Greece]
300041
Karditsa [Department: Greece]
300042
Larissa [Department: Greece]
300043
Magnissia [Department: Greece]
300044
Trikala [Department: Greece]
300051
Grevena [Department: Greece]
300052
Drama [Department: Greece]
300053
Imathia [Department: Greece]
300054
Thessaloniki [Department: Greece]
300055
Kavala [Department: Greece]
300056
Kastoria [Department: Greece]
300057
Kilkis [Department: Greece]
300058
Kozani [Department: Greece]
300059
Pella [Department: Greece]
300061
Pieria [Department: Greece]
300062
Serres [Department: Greece]
300063
Florina [Department: Greece]
300064
Chalkidiki and Aghion Oros [Department: Greece]
300071
Evros [Department: Greece]
300072
Xanthi [Department: Greece]
300073
Rodopi [Department: Greece]
300081
Dodekanissos [Department: Greece]
300082
Kyklades [Department: Greece]
300083
Lesvos [Department: Greece]
300084
Samos [Department: Greece]
300085
Chios [Department: Greece]
300091
Iraklio [Department: Greece]
300092
Lassithi [Department: Greece]
300093
Rethymno [Department: Greece]
300094
Chania [Department: Greece]
300101
Prefecture of Athens [Department: Greece]
300102
Prefecture of East Attiki [Department: Greece]
300103
Prefecture of West Attiki [Department: Greece]
300104
Prefecture of Pireas [Department: Greece]
324001
BokƩ [Region: Guinea]
324002
Faranah [Region: Guinea]
324003
Kankan [Region: Guinea]
324004
Kindia, Labe, Mamou [Region: Guinea]
324007
N'zerekore [Region: Guinea]
324008
Conakry [Region: Guinea]
332003
Nord (North) and Nord'est (North East) [Department: Haiti]
332006
Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]
332007
Grand'Anse, Nippes, Sud (South) [Department: Haiti]
332009
Nord'Ouest (North West) [Department: Haiti]
356001
Jammu and Kashmir [State: India]
356002
Himachal Pradesh [State: India]
356003
Punjab [State: India]
356004
Chandigarh [State: India]
356006
Haryana [State: India]
356007
Delhi [State: India]
356008
Rajasthan [State: India]
356009
Uttar Pradesh and Uttaranchal [State: India]
356010
Bihar and Jharkhand [State: India]
356011
Sikkim [State: India]
356012
Arunachal Pradesh [State: India]
356013
Nagaland [State: India]
356014
Manipur [State: India]
356015
Mizoram [State: India]
356016
Tripura [State: India]
356017
Meghalaya [State: India]
356018
Assam [State: India]
356019
West Bengal [State: India]
356021
Orissa [State: India]
356023
Chhattisgarh and Madhya Pradesh [State: India]
356024
Gujarat [State: India]
356026
Dadra and Nagar Haveli [State: India]
356027
Maharashtra [State: India]
356028
Andhra Pradesh [State: India]
356029
Karnataka [State: India]
356030
Daman and Diu and Goa [State: India]
356031
Lakshadweep [State: India]
356032
Kerala [State: India]
356033
Tamil Nadu [State: India]
356034
Pondicherry [State: India]
356035
Andaman and Nicobar Islands [State: India]
360011
Nanggroe Aceh Darussalam [Province: Indonesia]
360012
Sumatera Utara [Province: Indonesia]
360013
Sumatera Barat [Province: Indonesia]
360014
Riau and Kepulauan Riau [Province: Indonesia]
360015
Jambi [Province: Indonesia]
360016
Sumatera Selatan and Bangka Belitung [Province: Indonesia]
360017
Bengkulu [Province: Indonesia]
360018
Lampung [Province: Indonesia]
360031
DKI Jakarta [Province: Indonesia]
360032
West Java and Banten [Province: Indonesia]
360033
Jawa Tengah [Province: Indonesia]
360034
DI Yogyakarta [Province: Indonesia]
360035
Jawa Timur [Province: Indonesia]
360051
Bali [Province: Indonesia]
360052
Nusa Tenggara Barat [Province: Indonesia]
360053
East Nusa Tenggara [Province: Indonesia]
360061
Kalimantan Barat [Province: Indonesia]
360062
Kalimantan Tengah [Province: Indonesia]
360063
Kalimantan Selatan [Province: Indonesia]
360064
Kalimantan Timur [Province: Indonesia]
360071
Sulawesi Utara and Gorontalo [Province: Indonesia]
360072
Sulawesi Tengah [Province: Indonesia]
360073
Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia]
360081
Maluku and Maluku Utara [Province: Indonesia]
360094
Papua and Papua Barat [Province: Indonesia]
364000
Markazi [Province: Iran]
364001
Gilan [Province: Iran]
364002
Mazandaran [Province: Iran]
364003
East Azarbayejan [Province: Iran]
364004
West Azarbayejan [Province: Iran]
364005
Kermanshah [Province: Iran]
364006
Khuzestan [Province: Iran]
364007
Fars [Province: Iran]
364008
Kerman [Province: Iran]
364009
Khorasan-e- Razavi [Province: Iran]
364010
Esfahan [Province: Iran]
364011
Sistan and Baluchestan [Province: Iran]
364012
Kordestan [Province: Iran]
364013
Hamedan [Province: Iran]
364014
Chaharmahal and Bakhtiyari [Province: Iran]
364015
Lorestan [Province: Iran]
364016
Ilam [Province: Iran]
364017
Kohgiluyeh and Boyerahmad [Province: Iran]
364018
Bushehr [Province: Iran]
364019
Zanjan [Province: Iran]
364020
Semnan [Province: Iran]
364021
Yazd [Province: Iran]
364022
Hormozgan [Province: Iran]
364023
Tehran [Province: Iran]
364024
Ardebil [Province: Iran]
364025
Qom [Province: Iran]
364026
Qazvin [Province: Iran]
364027
Golestan [Province: Iran]
364028
North Khorasan [Province: Iran]
364029
South Khorasan [Province: Iran]
368011
Dhok [Governorate: Iraq]
368012
Nineveh [Governorate: Iraq]
368013
Al-Sulaimaniya [Governorate: Iraq]
368014
Al-Tameem [Governorate: Iraq]
368015
Arbil [Governorate: Iraq]
368021
Diala [Governorate: Iraq]
368022
Al-Anbar [Governorate: Iraq]
368023
Baghdad [Governorate: Iraq]
368024
Babylon [Governorate: Iraq]
368025
Kerbela [Governorate: Iraq]
368026
Wasit [Governorate: Iraq]
368027
Salah Al-Deen [Governorate: Iraq]
368028
Al-Najaf [Governorate: Iraq]
368031
Al-Qadisiya [Governorate: Iraq]
368032
Al-Muthanna [Governorate: Iraq]
368033
Thi-Qar [Governorate: Iraq]
368034
Maysan [Governorate: Iraq]
368035
Al-Basrah [Governorate: Iraq]
372001
Border [Region: Ireland]
372002
Dublin [Region: Ireland]
372003
Mid-East [Region: Ireland]
372004
Midlands [Region: Ireland]
372005
Mid-West [Region: Ireland]
372006
South-East [Region: Ireland]
372007
South-West [Region: Ireland]
372008
West [Region: Ireland]
376001
Jerusalem [District: Israel]
376002
Northern [District: Israel]
376003
Haifa [District: Israel]
376004
Central [District: Israel]
376005
Tel-Aviv [District: Israel]
376006
Southern [District: Israel]
376009
Judea, Samaria, and Gaza areas [District: Israel]
380001
Piemonte-Valle d'Aosta [Region: Italy]
380003
Lombardia [Region: Italy]
380004
Trentino-Alto Adige [Region: Italy]
380005
Veneto [Region: Italy]
380006
Friuli-Venezia Giulia [Region: Italy]
380007
Liguria [Region: Italy]
380008
Emilia-Romagna [Region: Italy]
380009
Toscana [Region: Italy]
380010
Umbria [Region: Italy]
380011
Marche [Region: Italy]
380012
Lazio [Region: Italy]
380013
Abruzzo [Region: Italy]
380014
Molise [Region: Italy]
380015
Campania [Region: Italy]
380016
Puglia [Region: Italy]
380017
Basilicata [Region: Italy]
380018
Calabria [Region: Italy]
380019
Sicilia [Region: Italy]
380020
Sardegna [Region: Italy]
388001
Kingston [Parish: Jamaica]
388002
Saint Andrew [Parish: Jamaica]
388003
Saint Thomas [Parish: Jamaica]
388004
Portland [Parish: Jamaica]
388005
Saint Mary [Parish: Jamaica]
388006
Saint Ann [Parish: Jamaica]
388007
Trelawny [Parish: Jamaica]
388008
Saint James [Parish: Jamaica]
388009
Hanover [Parish: Jamaica]
388010
Westmoreland [Parish: Jamaica]
388011
Saint Elizabeth [Parish: Jamaica]
388012
Manchester [Parish: Jamaica]
388013
Clarendon [Parish: Jamaica]
388014
Saint Catherine [Parish: Jamaica]
400011
Amman [Governorate: Jordan]
400012
Balqa [Governorate: Jordan]
400013
Zarqa [Governorate: Jordan]
400014
Madaba [Governorate: Jordan]
400021
Irbid [Governorate: Jordan]
400022
Mafraq [Governorate: Jordan]
400023
Jarash [Governorate: Jordan]
400024
Ajlun [Governorate: Jordan]
400031
Karak [Governorate: Jordan]
400032
Tafilah [Governorate: Jordan]
400033
Ma'an [Governorate: Jordan]
400034
Aqaba [Governorate: Jordan]
404001
Nairobi [Province: Kenya]
404002
Central Province [Province: Kenya]
404003
Coast Province [Province: Kenya]
404004
Eastern Province [Province: Kenya]
404005
North-Eastern Province [Province: Kenya]
404006
Nyanza Province [Province: Kenya]
404007
Rift Valley Province [Province: Kenya]
404008
Western Province [Province: Kenya]
417001
Gorkenesh Bishkek [Region: Kyrgyz Republic]
417002
Issyk-Kul [Region: Kyrgyz Republic]
417003
Dzhalal-Abad [Region: Kyrgyz Republic]
417004
Naryn [Region: Kyrgyz Republic]
417005
Batken [Region: Kyrgyz Republic]
417006
Oshskaya [Region: Kyrgyz Republic]
417007
Talasskaya [Region: Kyrgyz Republic]
417008
Chuya [Region: Kyrgyz Republic]
430006
Bong [County: Liberia]
430009
Grand Bassa and Rivercess [County: Liberia]
430012
Grand Cape Mount [County: Liberia]
430015
Grand Gedeh and River Gee [County: Liberia]
430021
Lofa and Gbarpolu [County: Liberia]
430027
Maryland and Grand Kru [County: Liberia]
430030
Montserrado, Bomi, and Margibi [County: Liberia]
430033
Nimba [County: Liberia]
430039
Sinoe [County: Liberia]
454101
Chitipa [District: Malawi]
454102
Karonga [District: Malawi]
454103
Nkhata Bay, Likoma [District: Malawi]
454104
Rumphi [District: Malawi]
454105
Mzimba, Mzuzu city [District: Malawi]
454201
Kasungu [District: Malawi]
454202
Nkhota Kota [District: Malawi]
454203
Ntchisi [District: Malawi]
454204
Dowa [District: Malawi]
454205
Salima [District: Malawi]
454206
Lilongwe [District: Malawi]
454207
Mchinji [District: Malawi]
454208
Dedza [District: Malawi]
454209
Ntcheu [District: Malawi]
454301
Mangochi [District: Malawi]
454302
Machinga [District: Malawi]
454303
Zomba [District: Malawi]
454304
Chiradzulu [District: Malawi]
454305
Blantyre [District: Malawi]
454307
Thyolo [District: Malawi]
454308
Mulanje [District: Malawi]
454310
Chikwawa [District: Malawi]
454311
Nsanje [District: Malawi]
454313
Mwanza, Neno [District: Malawi]
458001
Johor [State: Malaysia]
458002
Kedah [State: Malaysia]
458003
Kelantan [State: Malaysia]
458004
Melaka [State: Malaysia]
458005
Negeri Sembilan [State: Malaysia]
458006
Pahang [State: Malaysia]
458007
Pulau Pinang [State: Malaysia]
458008
Perak [State: Malaysia]
458009
Perlis [State: Malaysia]
458010
Selangor and Kuala Lumpur Federal Territory [State: Malaysia]
458011
Terengganu [State: Malaysia]
458012
Sabah and Labuan Federal Territory [State: Malaysia]
458013
Sarawak [State: Malaysia]
466001
Kayes [Region: Mali]
466002
Koulikoro [Region: Mali]
466003
Sikasso [Region: Mali]
466004
SĆ©gou [Region: Mali]
466005
Mopti [Region: Mali]
466006
Tombouctou [Region: Mali]
466007
Gao and Kidal [Region: Mali]
466009
Bamako [Region: Mali]
466099
Unknown [Region: Mali]
484001
Aguascalientes [State: Meico]
484002
Baja California [State: Meico]
484003
Baja California Sur [State: Meico]
484004
Campeche [State: Meico]
484005
Coahuila [State: Meico]
484006
Colima [State: Meico]
484007
Chiapas [State: Meico]
484008
Chihuahua [State: Meico]
484009
Distrito Federal [State: Meico]
484010
Durango [State: Meico]
484011
Guanajuato [State: Meico]
484012
Guerrero [State: Meico]
484013
Hidalgo [State: Meico]
484014
Jalisco [State: Meico]
484015
MĆ©xico [State: Meico]
484016
MichoacƔn [State: Meico]
484017
Morelos [State: Meico]
484018
Nayarit [State: Meico]
484019
Nuevo LeĆ³n [State: Meico]
484020
Oaxaca [State: Meico]
484021
Puebla [State: Meico]
484022
QuerƩtaro [State: Meico]
484023
Quintana Roo [State: Meico]
484024
San Luis PotosĆ [State: Meico]
484025
Sinaloa [State: Meico]
484026
Sonora [State: Meico]
484027
Tabasco [State: Meico]
484028
Tamaulipas [State: Meico]
484029
Tlaxcala [State: Meico]
484030
Veracruz [State: Meico]
484031
YucatƔn [State: Meico]
484032
Zacatecas [State: Meico]
496001
Arkhangai [Province: Mongolia]
496002
Bayan-Ćlgii [Province: Mongolia]
496003
Bayankhongor [Province: Mongolia]
496004
Bulgan [Province: Mongolia]
496005
Govi-Altai [Province: Mongolia]
496006
Dornogovi [Province: Mongolia]
496007
Dornod [Province: Mongolia]
496008
Dundgovi and Govisumber [Province: Mongolia]
496009
Zavkhan [Province: Mongolia]
496010
Ćvƶrkhangai [Province: Mongolia]
496011
Ćmnƶgovi [Province: Mongolia]
496012
SĆ¼khbaatar [Province: Mongolia]
496013
Selenge [Province: Mongolia]
496014
Tƶv [Province: Mongolia]
496015
Uvs [Province: Mongolia]
496016
Khovd [Province: Mongolia]
496017
Khƶvsgƶl [Province: Mongolia]
496018
Khentii [Province: Mongolia]
496019
Darkhan-Uul [Province: Mongolia]
496020
Ulaanbaatar [Province: Mongolia]
496021
Orkhon [Province: Mongolia]
504001
Oued-Ed-Dahab-Lagouira [Region: Morocco]
504002
LaĆ¢youne-Boujdour-Sakia El Hamra [Region: Morocco]
504003
Guelmin-Es-Samara [Region: Morocco]
504004
Souss-Massa-DraĆ¢ [Region: Morocco]
504005
Charb-Chrarda-BĆ©ni Hssen [Region: Morocco]
504006
Chaouia-Ouardigha [Region: Morocco]
504007
Marrakech-Tensift-Al Haouz [Region: Morocco]
504008
Oriental [Region: Morocco]
504009
Grand-Casablanca [Region: Morocco]
504010
Rabat-SalƩ-Zemmour-Zaer [Region: Morocco]
504011
Doukala Abda [Region: Morocco]
504012
Tadla Azilal [Region: Morocco]
504013
MeknĆØs-Tafilalet [Region: Morocco]
504014
FĆØs-Boulemane [Region: Morocco]
504015
Taza-Al Heiceima-Taounate [Region: Morocco]
504016
Tanger-TĆ©touan [Region: Morocco]
508001
Niassa [Province: Mozambique]
508002
Cabo Delgado [Province: Mozambique]
508003
Nampula [Province: Mozambique]
508004
ZambƩzia [Province: Mozambique]
508005
Tete [Province: Mozambique]
508006
Manica [Province: Mozambique]
508007
Sofala [Province: Mozambique]
508008
Inhambane [Province: Mozambique]
508009
Gaza [Province: Mozambique]
508010
Maputo province [Province: Mozambique]
508011
Maputo city [Province: Mozambique]
524001
Mechi [Administrative zone: Nepal]
524002
Koshi [Administrative zone: Nepal]
524003
Sagarmatha [Administrative zone: Nepal]
524004
Janakpur [Administrative zone: Nepal]
524005
Bagmati [Administrative zone: Nepal]
524006
Narayani [Administrative zone: Nepal]
524007
Gandaki [Administrative zone: Nepal]
524008
Dhawalagiri [Administrative zone: Nepal]
524009
Lumbini [Administrative zone: Nepal]
524010
Rapti [Administrative zone: Nepal]
524011
Bheri [Administrative zone: Nepal]
524012
Karnali [Administrative zone: Nepal]
524013
Seti [Administrative zone: Nepal]
524014
Mahakali [Administrative zone: Nepal]
558005
Nueva Segovia [Department: Nicaragua]
558010
Jinotega [Department: Nicaragua]
558020
MadrĆz [Department: Nicaragua]
558030
Chinandega [Department: Nicaragua]
558035
Leon and Esteli [Department: Nicaragua]
558040
Matagalpa [Department: Nicaragua]
558050
Boaco [Department: Nicaragua]
558055
Managua [Department: Nicaragua]
558060
Masaya [Department: Nicaragua]
558065
Chontales [Department: Nicaragua]
558070
Granada [Department: Nicaragua]
558075
Carazo [Department: Nicaragua]
558080
Rivas [Department: Nicaragua]
558085
RĆo San Juan [Department: Nicaragua]
558093
AtlƔntico Norte and AtlƔntico Sur [Department: Nicaragua]
558099
Unknown [Department: Nicaragua]
566001
Abia [State: Nigeria]
566002
Adamawa [State: Nigeria]
566003
Akwa Ibom [State: Nigeria]
566004
Anambra [State: Nigeria]
566005
Bauchi [State: Nigeria]
566006
Bayelsa [State: Nigeria]
566007
Benue [State: Nigeria]
566008
Borno [State: Nigeria]
566009
Cross River [State: Nigeria]
566010
Delta [State: Nigeria]
566011
Ebonyi [State: Nigeria]
566012
Edo [State: Nigeria]
566013
Ekiti [State: Nigeria]
566014
Enugu [State: Nigeria]
566015
Gombe [State: Nigeria]
566016
Imo [State: Nigeria]
566017
Jigawa [State: Nigeria]
566018
Kaduna [State: Nigeria]
566019
Kano [State: Nigeria]
566020
Katsina [State: Nigeria]
566021
Kebbi [State: Nigeria]
566022
Kogi [State: Nigeria]
566023
Kwara [State: Nigeria]
566024
Lagos [State: Nigeria]
566025
Nasarawa [State: Nigeria]
566026
Niger [State: Nigeria]
566027
Ogun [State: Nigeria]
566028
Ondo [State: Nigeria]
566029
Osun [State: Nigeria]
566030
Oyo [State: Nigeria]
566031
Plateau [State: Nigeria]
566032
Rivers [State: Nigeria]
566033
Sokoto [State: Nigeria]
566034
Taraba [State: Nigeria]
566035
Yobe [State: Nigeria]
566036
Zamfara [State: Nigeria]
566037
Federal Capital Territory Abuja [State: Nigeria]
566099
Unknown [State: Nigeria]
586001
North-West Frontier Province [Province: Pakistan]
586002
Fata [Province: Pakistan]
586003
Punjab, Islamabad [Province: Pakistan]
586004
Sind [Province: Pakistan]
586005
Baluchistan [Province: Pakistan]
586007
Northern areas [Province: Pakistan]
586008
Kashmir [Province: Pakistan]
591002
CoclƩ [Province: Panama]
591003
ColĆ³n, Comarca Kuna Yala (San Blas) [Province: Panama]
591004
Bocas de Toro, ChiriquĆ, Comarca NgƤbe BuglĆ©, Veraguas [Province: Panama]
591005
Comarca EmberƔ, DariƩn [Province: Panama]
591006
Herrera [Province: Panama]
591007
Los Santos [Province: Panama]
591008
PanamĆ” [Province: Panama]
600000
AsunciĆ³n [Department: Paraguay]
600001
ConcepciĆ³n [Department: Paraguay]
600002
San Pedro [Department: Paraguay]
600007
ItapĆŗa [Department: Paraguay]
600008
Misiones and ĆeembucĆŗ [Department: Paraguay]
600009
GuairĆ”, CaazapĆ”, and ParaguarĆ [Department: Paraguay]
600010
Cordillera, CaaguazĆŗ, Alto ParanĆ”, and CanindeyĆŗ [Department: Paraguay]
600011
Central [Department: Paraguay]
600013
Amambay [Department: Paraguay]
600015
Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay]
600099
Unknown [Department: Paraguay]
604001
Amazonas [Region: Peru]
604002
Ancash [Region: Peru]
604003
ApurĆmac [Region: Peru]
604004
Arequipa [Region: Peru]
604005
Ayacucho [Region: Peru]
604006
Cajamarca [Region: Peru]
604007
Callao [Region: Peru]
604008
Cusco [Region: Peru]
604009
Huancavelica [Region: Peru]
604010
HuƔnuco [Region: Peru]
604011
Ica [Region: Peru]
604012
JunĆn [Region: Peru]
604013
La Libertad [Region: Peru]
604014
Lambayeque [Region: Peru]
604015
Lima [Region: Peru]
604016
Loreto [Region: Peru]
604017
Madre de Dios [Region: Peru]
604018
Moquegua [Region: Peru]
604019
Pasco [Region: Peru]
604020
Piura [Region: Peru]
604021
Puno [Region: Peru]
604022
San MartĆn [Region: Peru]
604023
Tacna [Region: Peru]
604024
Tumbes [Region: Peru]
604025
Ucayali [Region: Peru]
608001
Ilocos [Region: Philippines]
608002
Cagayan Valley [Region: Philippines]
608003
Central Luzon [Region: Philippines]
608004
Southern Tagalog [Region: Philippines]
608005
Bicol [Region: Philippines]
608006
Western Visayas [Region: Philippines]
608007
Central Visayas [Region: Philippines]
608008
Eastern Visayas [Region: Philippines]
608009
Western Mindanao [Region: Philippines]
608011
Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines]
608012
Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines]
608013
National Capital Region [Region: Philippines]
608014
Cordillera Administrative Region [Region: Philippines]
620111
Minho-Lima [Subregion: Portugal]
620112
CƔvado [Subregion: Portugal]
620113
Ave [Subregion: Portugal]
620114
Grande Porto [Subregion: Portugal]
620115
TĆ¢mega [Subregion: Portugal]
620116
Entre Douro e Vouga [Subregion: Portugal]
620117
Douro [Subregion: Portugal]
620118
Alto TrƔs-os-Montes [Subregion: Portugal]
620150
Algarve [Subregion: Portugal]
620161
Baixo Vouga [Subregion: Portugal]
620162
Baixo Mondego [Subregion: Portugal]
620163
Pinhal Litoral [Subregion: Portugal]
620165
DĆ£o-LafƵes [Subregion: Portugal]
620166
Oeste [Subregion: Portugal]
620167
MĆ©dio Tejo [Subregion: Portugal]
620169
Other Center [Subregion: Portugal]
620171
Grande Lisboa [Subregion: Portugal]
620172
PenĆnsula de SetĆŗbal [Subregion: Portugal]
620185
LezĆria do Tejo [Subregion: Portugal]
620189
Other Alentejo [Subregion: Portugal]
620200
RegiĆ£o AutĆ³noma dos AƧores [Subregion: Portugal]
620300
RegiĆ£o AutĆ³noma da Madeira [Subregion: Portugal]
630101
G7201001 [PUMA: Puerto Rico]
630104
G7201002, G7201003, G7201004 [PUMA: Puerto Rico]
630110
G7201100 [PUMA: Puerto Rico]
630180
G7201800 [PUMA: Puerto Rico]
630200
G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico]
630250
G7202500 [PUMA: Puerto Rico]
642001
Alba [County: Romania]
642002
Arad [County: Romania]
642003
Arges [County: Romania]
642004
Bacau [County: Romania]
642005
Bihor [County: Romania]
642006
Bistrita Nasaud [County: Romania]
642007
Botosani [County: Romania]
642008
Brasov [County: Romania]
642009
Braila [County: Romania]
642010
Buzau [County: Romania]
642011
Caras Severin [County: Romania]
642012
Cluj [County: Romania]
642013
Constanta [County: Romania]
642014
Covasna [County: Romania]
642015
Dimbovita [County: Romania]
642016
Dolj [County: Romania]
642017
Galati [County: Romania]
642018
Gorj [County: Romania]
642019
Harghita [County: Romania]
642020
Hunedoara [County: Romania]
642022
Iasi [County: Romania]
642024
Maramures [County: Romania]
642025
Mehedinti [County: Romania]
642026
Mures [County: Romania]
642027
Neamt [County: Romania]
642028
Olt [County: Romania]
642029
Prahova [County: Romania]
642030
Satu Mare [County: Romania]
642031
Salaj [County: Romania]
642032
Sibiu [County: Romania]
642033
Suceava [County: Romania]
642034
Teleorman [County: Romania]
642035
Timis [County: Romania]
642036
Tulcea [County: Romania]
642037
Vaslui [County: Romania]
642038
Valcea [County: Romania]
642039
Vrancea [County: Romania]
642043
Bucharest Sector 1 to 6 [County: Romania]
642051
Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]
646001
Kigali City [Province: Rwanda]
646002
Kigali Ngali [Province: Rwanda]
646004
Gitarama [Province: Rwanda]
646005
Butare [Province: Rwanda]
646006
Gikongoro [Province: Rwanda]
646007
Cyangugu [Province: Rwanda]
646008
Kibuye [Province: Rwanda]
646009
Gisenyi [Province: Rwanda]
646010
Ruhengeri [Province: Rwanda]
646012
Byumba, Kibungo and Umutara [Province: Rwanda]
686001
Dakar [Region: Senegal]
686002
Diourbel [Region: Senegal]
686003
Fatick [Region: Senegal]
686004
Kaolack [Region: Senegal]
686005
Kolda [Region: Senegal]
686008
Louga, Saint Louis, Matam [Region: Senegal]
686009
Tambacounda [Region: Senegal]
686010
ThiĆØs [Region: Senegal]
686011
Ziguinchor [Region: Senegal]
694011
Kailahun [District: Sierra Leone]
694012
Kenema [District: Sierra Leone]
694013
Kono [District: Sierra Leone]
694021
Bombali [District: Sierra Leone]
694022
Kambia [District: Sierra Leone]
694023
Koinadugu [District: Sierra Leone]
694024
Port Loko [District: Sierra Leone]
694025
Tonkolili [District: Sierra Leone]
694031
Bo [District: Sierra Leone]
694032
Bonthe [District: Sierra Leone]
694033
Moyamba [District: Sierra Leone]
694034
Pujehun [District: Sierra Leone]
694041
Western - rural [District: Sierra Leone]
694042
Western - urban [District: Sierra Leone]
704001
Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam]
704002
Ha Giang and Tuyen Quang [Province: Vietnam]
704004
Cao Bang [Province: Vietnam]
704014
Son La [Province: Vietnam]
704015
Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam]
704019
Bac Kan and Thai Nguyen [Province: Vietnam]
704020
Lang Son [Province: Vietnam]
704022
Quang Ninh [Province: Vietnam]
704024
Bac Giang, and Bac Ninh [Province: Vietnam]
704030
Hai Duong and Hung Yen [Province: Vietnam]
704031
Hai Phong [Province: Vietnam]
704034
Thai Binh [Province: Vietnam]
704038
Thanh Hoa [Province: Vietnam]
704040
Nghe An and Ha Tinh [Province: Vietnam]
704046
Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam]
704049
Da Nang and Quang Nam [Province: Vietnam]
704051
Binh Dinh and Quang Ngai [Province: Vietnam]
704054
Phu Yen and Khanh Hoa [Province: Vietnam]
704060
Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam]
704062
Gia Lai and Kon Tum [Province: Vietnam]
704066
Dak Lak and Dak Nong [Province: Vietnam]
704068
Lam Dong [Province: Vietnam]
704072
Tay Ninh [Province: Vietnam]
704074
Binh Duong and Binh Phuoc [Province: Vietnam]
704075
Dong Nai and Ba Ria - Vung Tau [Province: Vietnam]
704079
Ho Chi Minh City [Province: Vietnam]
704080
Long An [Province: Vietnam]
704082
Tien Giang [Province: Vietnam]
704083
Ben Tre [Province: Vietnam]
704086
Vinh Long and Tra Vinh [Province: Vietnam]
704087
Dong Thap [Province: Vietnam]
704089
An Giang [Province: Vietnam]
704091
Kien Giang [Province: Vietnam]
704094
Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam]
704096
Bac Lieu and Ca Mau [Province: Vietnam]
705001
Pomurska [Region: Slovenia]
705002
Podravska [Region: Slovenia]
705003
KoroŔka [Region: Slovenia]
705004
Savinjska [Region: Slovenia]
705005
Zasavska [Region: Slovenia]
705006
Spodnjeposavska [Region: Slovenia]
705007
Jugovzhodna Slovenija [Region: Slovenia]
705008
Osrednjeslovenska [Region: Slovenia]
705009
Gorenjska [Region: Slovenia]
705010
Notranjsko-kraŔka [Region: Slovenia]
705011
GoriŔka [Region: Slovenia]
705012
Obalno-kraŔka [Region: Slovenia]
705099
Unknown [Region: Slovenia]
710001
Western Cape [Province: South Africa]
710004
Free State [Province: South Africa]
710005
Eastern Cape, KwaZulu-Natal [Province: South Africa]
710007
Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]
710999
Unknown [Province: South Africa]
724011
Galicia [Communities and Autonomous Cities: Spain]
724012
Principado de Asturias [Communities and Autonomous Cities: Spain]
724013
Cantabria [Communities and Autonomous Cities: Spain]
724021
PaĆs Vasco [Communities and Autonomous Cities: Spain]
724022
Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain]
724023
La Rioja [Communities and Autonomous Cities: Spain]
724024
AragĆ³n [Communities and Autonomous Cities: Spain]
724030
Comunidad de Madrid [Communities and Autonomous Cities: Spain]
724041
Castilla y LeĆ³n [Communities and Autonomous Cities: Spain]
724042
Castilla-La Mancha [Communities and Autonomous Cities: Spain]
724043
Extremadura [Communities and Autonomous Cities: Spain]
724051
CataluƱa [Communities and Autonomous Cities: Spain]
724052
Comunidad Valenciana [Communities and Autonomous Cities: Spain]
724053
Illes Balears [Communities and Autonomous Cities: Spain]
724061
AndalucĆa [Communities and Autonomous Cities: Spain]
724062
RegiĆ³n de Murcia [Communities and Autonomous Cities: Spain]
724063
Ciudad AutĆ³noma de Ceuta [Communities and Autonomous Cities: Spain]
724064
Ciudad AutĆ³noma de Melilla [Communities and Autonomous Cities: Spain]
724070
Canarias [Communities and Autonomous Cities: Spain]
724099
Unknown [Communities and Autonomous Cities: Spain]
728071
Upper Nile [State: South Sudan]
728072
Jonglei [State: South Sudan]
728073
Unity [State: South Sudan]
728081
Warrap [State: South Sudan]
728082
Northern Bahr El Ghazal [State: South Sudan]
728083
Western Bahr El Ghazal [State: South Sudan]
728084
Lakes [State: South Sudan]
728091
Western Equatoria [State: South Sudan]
728092
Central Equatoria [State: South Sudan]
728093
Eastern Equatoria [State: South Sudan]
729011
Northern [State: Sudan]
729012
Nahr El Nil [State: Sudan]
729021
Red Sea [State: Sudan]
729022
Kassala [State: Sudan]
729023
Al Gedarif [State: Sudan]
729031
Khartoum [State: Sudan]
729041
Al Gezira [State: Sudan]
729042
White Nile [State: Sudan]
729043
Sinnar [State: Sudan]
729044
Blue Nile [State: Sudan]
729051
North Kordofan [State: Sudan]
729052
South Kordofan [State: Sudan]
729061
North Darfur [State: Sudan]
729062
West Darfur [State: Sudan]
729063
South Darfur [State: Sudan]
756001
Zurich [Canton: Switzerland]
756002
Bern [Canton: Switzerland]
756003
Luzern (Lucerne) [Canton: Switzerland]
756004
Uri [Canton: Switzerland]
756005
Schwyz [Canton: Switzerland]
756006
Obwalden (Obwald) [Canton: Switzerland]
756007
Nidwalden (Nidwald) [Canton: Switzerland]
756008
Glarus [Canton: Switzerland]
756009
Zug [Canton: Switzerland]
756010
Fribourg [Canton: Switzerland]
756011
Solothurn [Canton: Switzerland]
756012
Basel-Stadt (Basel-City) [Canton: Switzerland]
756013
Basel-Landschaft (Basel-Country) [Canton: Switzerland]
756014
Schaffhausen [Canton: Switzerland]
756015
Outer and Inner Rhodes [Canton: Switzerland]
756017
St. Gallen (St. Gall) [Canton: Switzerland]
756018
Graubundun (Grisons) [Canton: Switzerland]
756019
Aargau (Argovia) [Canton: Switzerland]
756020
Thurgau (Thurgovia) [Canton: Switzerland]
756021
Ticino [Canton: Switzerland]
756022
Vaud [Canton: Switzerland]
756023
Valais [Canton: Switzerland]
756024
Neuchatel [Canton: Switzerland]
756025
Geneva [Canton: Switzerland]
756026
Jura [Canton: Switzerland]
764010
Bangkok [Province: Thailand]
764011
Samut Prakan [Province: Thailand]
764012
Nonthaburi [Province: Thailand]
764013
Pathum Thani [Province: Thailand]
764014
Phra Nakhon si Ayutthaya [Province: Thailand]
764015
Ang Thong [Province: Thailand]
764016
Lop Buri [Province: Thailand]
764017
Sing Buri [Province: Thailand]
764018
Chai Nat [Province: Thailand]
764019
Prachin Buri and Sa Kaeo [Province: Thailand]
764020
Chon Buri [Province: Thailand]
764021
Rayong [Province: Thailand]
764022
Chanthaburi [Province: Thailand]
764023
Trat [Province: Thailand]
764024
Chachoengsao [Province: Thailand]
764026
Nakhon Nayok [Province: Thailand]
764027
Saraburi [Province: Thailand]
764030
Nakhon Ratchasima [Province: Thailand]
764031
Buri Ram [Province: Thailand]
764032
Surin [Province: Thailand]
764033
Si Sa Ket [Province: Thailand]
764034
Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand]
764036
Chaiyaphum [Province: Thailand]
764040
Khon Kaen [Province: Thailand]
764041
Udon Thani and Nong Bua Lam Phu [Province: Thailand]
764042
Loei [Province: Thailand]
764043
Nong Khai [Province: Thailand]
764044
Maha Sarakham [Province: Thailand]
764045
Roi Et [Province: Thailand]
764046
Kalasin [Province: Thailand]
764047
Sakon Nakhon [Province: Thailand]
764048
Nakhon Phanom and Mukdahan [Province: Thailand]
764050
Chiang Mai [Province: Thailand]
764051
Lamphun [Province: Thailand]
764052
Lampang [Province: Thailand]
764053
Uttaradit [Province: Thailand]
764054
Phrae [Province: Thailand]
764055
Nan [Province: Thailand]
764057
Chiang Rai and Phayao [Province: Thailand]
764058
Mae Hong Son [Province: Thailand]
764060
Nakhon Sawan [Province: Thailand]
764061
Uthai Thani [Province: Thailand]
764062
Kamphaeng Phet [Province: Thailand]
764063
Tak [Province: Thailand]
764064
Sukhothai [Province: Thailand]
764065
Phitsanulok [Province: Thailand]
764066
Phichit [Province: Thailand]
764067
Phetchabun [Province: Thailand]
764070
Ratchaburi [Province: Thailand]
764071
Kanchanaburi [Province: Thailand]
764072
Suphanburi [Province: Thailand]
764073
Nakhon Pathom [Province: Thailand]
764074
Samut Sakhon [Province: Thailand]
764075
Samut Songkhram [Province: Thailand]
764076
Phetchaburi [Province: Thailand]
764077
Prachuap Khiri Khan [Province: Thailand]
764080
Nakhon Si Thammarat [Province: Thailand]
764081
Krabi [Province: Thailand]
764082
Phangnga [Province: Thailand]
764083
Phuket [Province: Thailand]
764084
Surat Thani [Province: Thailand]
764085
Ranong [Province: Thailand]
764086
Chumphon [Province: Thailand]
764090
Songkhla [Province: Thailand]
764091
Satun [Province: Thailand]
764092
Trang [Province: Thailand]
764093
Phatthalung [Province: Thailand]
764094
Pattani [Province: Thailand]
764095
Yala [Province: Thailand]
764096
Narathiwat [Province: Thailand]
792001
Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey]
792002
Adiyaman [Province: Turkey]
792003
Afyon [Province: Turkey]
792004
Agri [Province: Turkey]
792005
Amasya [Province: Turkey]
792006
Ankara and Kirikkale [Province: Turkey]
792007
Antalya [Province: Turkey]
792008
Artvin [Province: Turkey]
792009
Aydin [Province: Turkey]
792010
Balikesir [Province: Turkey]
792011
Bilecik [Province: Turkey]
792012
Bingƶl [Province: Turkey]
792013
Bitlis [Province: Turkey]
792014
Bolu and DĆ¼zce [Province: Turkey]
792015
Burdur [Province: Turkey]
792017
Ćanakkale [Province: Turkey]
792019
Ćorum [Province: Turkey]
792020
Denizli [Province: Turkey]
792021
Diyarbakir [Province: Turkey]
792022
Edirne [Province: Turkey]
792023
Elazig [Province: Turkey]
792024
Erzincan [Province: Turkey]
792025
Erzurum [Province: Turkey]
792026
Eskisehir [Province: Turkey]
792028
Giresun [Province: Turkey]
792029
GĆ¼mĆ¼shane and Bayburt [Province: Turkey]
792031
Hatay [Province: Turkey]
792032
Isparta [Province: Turkey]
792033
Mersin (iƧel) [Province: Turkey]
792034
Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey]
792035
Izmir [Province: Turkey]
792036
Kars, Ardahan and Igdir [Province: Turkey]
792037
Kastamonu [Province: Turkey]
792038
Kayseri [Province: Turkey]
792039
Kirklareli [Province: Turkey]
792040
Kirsehir [Province: Turkey]
792042
Konya and Karaman [Province: Turkey]
792043
KĆ¼tahya [Province: Turkey]
792044
Malatya [Province: Turkey]
792045
Manisa [Province: Turkey]
792046
Kahramanmaras [Province: Turkey]
792047
Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey]
792048
Mugla [Province: Turkey]
792049
Mus [Province: Turkey]
792050
Nevsehir [Province: Turkey]
792051
Nigde and Aksaray [Province: Turkey]
792052
Ordu [Province: Turkey]
792053
Rize [Province: Turkey]
792054
Sakarya [Province: Turkey]
792055
Samsun [Province: Turkey]
792057
Sinop [Province: Turkey]
792058
Sivas [Province: Turkey]
792059
Tekirdag [Province: Turkey]
792060
Tokat [Province: Turkey]
792061
Trabzon [Province: Turkey]
792062
Tunceli [Province: Turkey]
792063
Sanliurfa [Province: Turkey]
792064
Usak [Province: Turkey]
792065
Van [Province: Turkey]
792066
Yozgat [Province: Turkey]
792067
Zonguldak, Ćankiri, Karabuk and Bartin [Province: Turkey]
800101
Kalangala [District: Uganda]
800102
Kampala [District: Uganda]
800103
Kiboga [District: Uganda]
800104
Luwero and Nakasongola [District: Uganda]
800105
Masaka and Sembabule [District: Uganda]
800107
Mubende [District: Uganda]
800108
Mukono and Kayunga [District: Uganda]
800110
Rakai [District: Uganda]
800113
Mpigi and Wakiso [District: Uganda]
800203
Iganga, Buguri, and Mayuge [District: Uganda]
800204
Jinja [District: Uganda]
800205
Kamuli [District: Uganda]
800206
Kapchorwa [District: Uganda]
800208
Kumi [District: Uganda]
800209
Mbale and Sironko [District: Uganda]
800210
Pallisa [District: Uganda]
800211
Soroti, Katakwi, and Kaberamaido [District: Uganda]
800212
Busia and Tororo [District: Uganda]
800301
Moyo and Adjumani [District: Uganda]
800302
Apac [District: Uganda]
800303
Arua and Yumbe [District: Uganda]
800304
Gulu [District: Uganda]
800306
Kotido [District: Uganda]
800307
Lira [District: Uganda]
800308
Moroto and Nakapiripirit [District: Uganda]
800310
Nebbi [District: Uganda]
800312
Kitgum and Pader [District: Uganda]
800401
Bundibugyo [District: Uganda]
800403
Hoima [District: Uganda]
800404
Kabale [District: Uganda]
800405
Kabarole, Kamwenge, and Kyenjojo [District: Uganda]
800406
Kasese [District: Uganda]
800407
Kibaale [District: Uganda]
800408
Kisoro [District: Uganda]
800409
Masindi [District: Uganda]
800410
Bushenyi, Mbarara, and Ntungamo [District: Uganda]
800412
Rukungiri and Kanungu [District: Uganda]
800999
Unknown [District: Uganda]
804001
The Autonomous Republic of Crimea [Region: Ukraine]
804005
Vinnytska oblast [Region: Ukraine]
804007
Volynska oblast [Region: Ukraine]
804012
Dnipropetrovska oblast [Region: Ukraine]
804014
Donetska oblast [Region: Ukraine]
804018
Zhytomyrska oblast [Region: Ukraine]
804021
Zakarpatska oblast [Region: Ukraine]
804023
Zaporizka oblast [Region: Ukraine]
804026
Ivano-Frankivska oblast [Region: Ukraine]
804032
Kyivska oblast [Region: Ukraine]
804035
Kirovohradska oblast [Region: Ukraine]
804044
Luhanska oblast [Region: Ukraine]
804046
Lvivska oblast [Region: Ukraine]
804048
Mykolaivska oblast [Region: Ukraine]
804051
Odeska oblast [Region: Ukraine]
804053
Poltavska oblast [Region: Ukraine]
804056
Rivnenska oblast [Region: Ukraine]
804059
Sumska oblast [Region: Ukraine]
804061
Ternopilska oblast [Region: Ukraine]
804063
Kharkivska oblast [Region: Ukraine]
804065
Khersonska oblast [Region: Ukraine]
804068
Khmelnytska oblast [Region: Ukraine]
804071
Cherkaska oblast [Region: Ukraine]
804073
Chernivetska oblast [Region: Ukraine]
804074
Chernihivska oblast [Region: Ukraine]
804080
Kyiv [Region: Ukraine]
804085
Sevastopol [Region: Ukraine]
818001
Cairo [Governorate: Egypt]
818002
Alexandria [Governorate: Egypt]
818003
Port Said [Governorate: Egypt]
818004
Suez [Governorate: Egypt]
818011
Damietta [Governorate: Egypt]
818012
Dakahlia [Governorate: Egypt]
818013
Sharkia [Governorate: Egypt]
818014
Kaliobia [Governorate: Egypt]
818015
Kafr Sheikh [Governorate: Egypt]
818016
Gharbia [Governorate: Egypt]
818017
Menoufia [Governorate: Egypt]
818018
Behera [Governorate: Egypt]
818019
Ismailia [Governorate: Egypt]
818021
Giza [Governorate: Egypt]
818022
Bani Swif [Governorate: Egypt]
818023
Fayoum [Governorate: Egypt]
818024
Menia [Governorate: Egypt]
818025
Asiut [Governorate: Egypt]
818026
Sohag [Governorate: Egypt]
818027
Qena [Governorate: Egypt]
818028
Aswan [Governorate: Egypt]
818029
Luxor [Governorate: Egypt]
818031
Red Sea [Governorate: Egypt]
818032
New Valley [Governorate: Egypt]
818033
Marsa Matroh [Governorate: Egypt]
818034
North Sinai [Governorate: Egypt]
818035
South Sinai [Governorate: Egypt]
826011
North East [Region: United Kingdom]
826013
North West [Region: United Kingdom]
826014
Yorkshire and the Humber [Region: United Kingdom]
826021
East Midlands [Region: United Kingdom]
826022
West Midlands [Region: United Kingdom]
826031
East of England [Region: United Kingdom]
826032
South East and London [Region: United Kingdom]
826040
South West [Region: United Kingdom]
826060
Scotland [Region: United Kingdom]
826070
Wales [Region: United Kingdom]
826080
Northern Ireland [Region: United Kingdom]
834001
Dodoma [Region: Tanzania]
834003
Kilimanjaro [Region: Tanzania]
834004
Tanga [Region: Tanzania]
834005
Morogoro [Region: Tanzania]
834006
Pwani [Region: Tanzania]
834007
Dar es Salaam [Region: Tanzania]
834008
Lindi [Region: Tanzania]
834009
Mtwara [Region: Tanzania]
834010
Ruvumba [Region: Tanzania]
834011
Iringa [Region: Tanzania]
834012
Mbeya [Region: Tanzania]
834013
Singida [Region: Tanzania]
834014
Tabora [Region: Tanzania]
834015
Rukwa [Region: Tanzania]
834016
Kigoma [Region: Tanzania]
834017
Shinyanga [Region: Tanzania]
834018
Kagera [Region: Tanzania]
834019
Mwanza [Region: Tanzania]
834020
Mara [Region: Tanzania]
834021
Arusha and Manyara [Region: Tanzania]
834051
Zanzibar North [Region: Tanzania]
834052
Zanzibar South [Region: Tanzania]
834053
Zanzibar Town/West [Region: Tanzania]
834054
Pemba North [Region: Tanzania]
834055
Pemba South [Region: Tanzania]
840001
Alabama [State: U.S.]
840002
Alaska [State: U.S.]
840004
Arizona [State: U.S.]
840005
Arkansas [State: U.S.]
840006
California [State: U.S.]
840008
Colorado [State: U.S.]
840009
Connecticut [State: U.S.]
840010
Delaware [State: U.S.]
840011
District of Columbia [State: U.S.]
840012
Florida [State: U.S.]
840013
Georgia [State: U.S.]
840015
Hawaii [State: U.S.]
840016
Idaho [State: U.S.]
840017
Illinois [State: U.S.]
840018
Indiana [State: U.S.]
840019
Iowa [State: U.S.]
840020
Kansas [State: U.S.]
840021
Kentucky [State: U.S.]
840022
Louisiana [State: U.S.]
840023
Maine [State: U.S.]
840024
Maryland [State: U.S.]
840025
Massachusetts [State: U.S.]
840026
Michigan [State: U.S.]
840027
Minnesota [State: U.S.]
840028
Mississippi [State: U.S.]
840029
Missouri [State: U.S.]
840030
Montana [State: U.S.]
840031
Nebraska [State: U.S.]
840032
Nevada [State: U.S.]
840033
New Hampshire [State: U.S.]
840034
New Jersey [State: U.S.]
840035
New Mexico [State: U.S.]
840036
New York [State: U.S.]
840037
North Carolina [State: U.S.]
840038
North Dakota [State: U.S.]
840039
Ohio [State: U.S.]
840040
Oklahoma [State: U.S.]
840041
Oregon [State: U.S.]
840042
Pennsylvania [State: U.S.]
840044
Rhode Island [State: U.S.]
840045
South Carolina [State: U.S.]
840046
South Dakota [State: U.S.]
840047
Tennessee [State: U.S.]
840048
Texas [State: U.S.]
840049
Utah [State: U.S.]
840050
Vermont [State: U.S.]
840051
Virginia [State: U.S.]
840053
Washington [State: U.S.]
840054
West Virginia [State: U.S.]
840055
Wisconsin [State: U.S.]
840056
Wyoming [State: U.S.]
840099
State not identified [State: U.S.]
854001
Boucle du Mouhoun [Region: Burkina Faso]
854002
Cascades [Region: Burkina Faso]
854003
Centre [Region: Burkina Faso]
854004
Centre-Est [Region: Burkina Faso]
854005
Centre-Nord [Region: Burkina Faso]
854006
Centre-Ouest [Region: Burkina Faso]
854007
Centre-Sud [Region: Burkina Faso]
854008
Est [Region: Burkina Faso]
854009
Hauts-Bassins [Region: Burkina Faso]
854010
Nord [Region: Burkina Faso]
854011
Plateau Central [Region: Burkina Faso]
854012
Sahel [Region: Burkina Faso]
854013
Sud-Ouest [Region: Burkina Faso]
858001
Montevideo [Department: Uruguay]
858002
Artigas [Department: Uruguay]
858003
Canelones [Department: Uruguay]
858004
Cerro Largo [Department: Uruguay]
858005
Colonia [Department: Uruguay]
858006
Durazno [Department: Uruguay]
858007
Flores [Department: Uruguay]
858008
Florida [Department: Uruguay]
858009
Lavalleja [Department: Uruguay]
858010
Maldonado [Department: Uruguay]
858011
PaysandĆŗ [Department: Uruguay]
858012
RĆo Negro [Department: Uruguay]
858013
Rivera [Department: Uruguay]
858014
Rocha [Department: Uruguay]
858015
Salto [Department: Uruguay]
858016
San Jose [Department: Uruguay]
858017
Soriano [Department: Uruguay]
858018
TacuarembĆ³ [Department: Uruguay]
858019
Treinta Y Tres [Department: Uruguay]
862001
Federal District, Vargas [State: Venezuela]
862002
Amazonas Federal Territory [State: Venezuela]
862003
AnzoƔtegui [State: Venezuela]
862004
Apure [State: Venezuela]
862005
Aragua [State: Venezuela]
862007
BolĆvar [State: Venezuela]
862008
Carabobo [State: Venezuela]
862009
Cojedes [State: Venezuela]
862010
Amacuros Delta Federal Territory [State: Venezuela]
862011
FalcĆ³n [State: Venezuela]
862012
GuƔrico [State: Venezuela]
862013
Lara [State: Venezuela]
862014
Barinas, MĆ©rida [State: Venezuela]
862015
Miranda [State: Venezuela]
862016
Monagas [State: Venezuela]
862017
Nueva Esparta, Federal Dependencies [State: Venezuela]
862018
Portuguesa [State: Venezuela]
862019
Sucre [State: Venezuela]
862020
TƔchira [State: Venezuela]
862021
Trujillo [State: Venezuela]
862022
Yaracuy [State: Venezuela]
862023
Zulia [State: Venezuela]
894001
Central [Province: Zambia]
894002
Copperbelt [Province: Zambia]
894003
Eastern, Muchinga, Northern [Province: Zambia]
894004
Luapula [Province: Zambia]
894005
Lusaka [Province: Zambia]
894008
North Western [Province: Zambia]
894009
Southern [Province: Zambia]
894010
Western [Province: Zambia]
GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country.
Geography: Global Variables -- HOUSEHOLD
IPUMS
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
Dwelling number
All households
This variable indicates the dwelling number.
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
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 is created by splitting apart a large dwelling or household.
Technical Household Variables -- HOUSEHOLD
IPUMS
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
Misplaced head was moved to first position (dwelling-wide)
All households
No
1
Yes (for one or more households in the dwelling)
This variable indicates whether the misplaced head was moved to the first position (dwelling-wide).
Technical Household Variables -- HOUSEHOLD
IPUMS
Region
Region
Region
Region
Region
Region
All households
1
Ilocos
2
Cagayan Valley
3
Central Luzon
4
Southern Tagalog
5
Bicol
6
Western Visayas
7
Central Visayas
8
Eastern Visayas
9
Western Mindanao
10
Northern Mindanao
11
Southern Mindanao
12
Central Mindanao
13
National Capital Region
14
Cordillera Administrative Region
15
Autonomous Region of Muslim Mindanao
16
Caraga
This variable indicates the region.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Province
Province
Province
Province
Province
Geographic Identification
__ __ Page of __ __ Pages.
__ __ Province
__ __ City/Municipality
___ Barangay
__ __ __ Enumeration Area
__ __ Random Start
All households
1
Abra
2
Agusan Del Norte
3
Agusan Del Sur
4
Aklan
5
Albay
6
Antique
7
Basilan
8
Bataan
10
Batangas
11
Benguet
12
Bohol
13
Bukidnon
14
Bulacan
15
Cagayan and Batanes
16
Camarines Norte
17
Camarines Sur
18
Camiguin
19
Capiz
20
Catanduanes
21
Cavite
22
Cebu
23
Davao (Davao Del Norte)
24
Davao Del Sur
25
Davao Oriental
26
Eastern Samar
27
Ifugao
28
Ilocos Norte
29
Ilocos Sur
30
Iloilo
31
Isabela
32
Kalinga
33
La Union
34
Laguna
35
Lanao Del Norte
36
Lanao Del Sur
37
Leyte
38
Maguindanao
39
Manila, Metro First District
40
Marinduque
41
Masbate
42
Misamis Occidental
43
Misamis Oriental
44
Mountain Province
45
Negros Occidental
46
Negros Oriental
47
Cotabato (North Cotabato)
48
Northern Samar
49
Nueva Ecija
50
Nueva Vizcaya
51
Occidental Mindoro
52
Oriental Mindoro
53
Palawan
54
Pampanga
55
Pangasinan
56
Quezon
57
Quirino
58
Rizal
59
Romblon
60
Samar (Western Samar)
61
Siquijor
62
Sorsogon
63
South Cotabato
64
Southern Leyte
65
Sultan Kudarat
66
Sulu
67
Surigao Del Norte
68
Surigao Del Sur
69
Tarlac
70
Tawi-Tawi
71
Zambales
72
Zamboanga Del Norte
73
Zamboanga Del Sur
74
Metro Manila, Second District
75
Metro Manila, Third District
76
Metro Manila, Fourth District
77
Aurora
78
Biliran
79
Guimaras
80
Sarangani
81
Apayao
82
Compostela Valley
98
Cotabato and Marawi
This variable indicates the province.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Province recode/key city
Province recode/key city
Province recode/key city
Province recode/key city
Province recode/key city
Geographic Identification
__ __ Page of __ __ Pages.
__ __ Province
__ __ City/Municipality
___ Barangay
__ __ __ Enumeration Area
__ __ Random Start
All households
10
Abra
20
Agusan Del Norte (Excluding Butuan City)
21
Butuan City (Capital)
30
Agusan Del Sur
40
Aklan
50
Albay
60
Antique
70
Basilan
80
Bataan
90
Batanes
100
Batangas
110
Benguet (Excluding Baguio City)
111
Baguio City
120
Bohol
130
Bukidnon
140
Bulacan
150
Cagayan
160
Camarines Norte
170
Camarines Sur
180
Camiguin
190
Capiz
200
Catanduanes
210
Cavite
220
Cebu (Excluding Cebu City And Mandaue City)
221
Cebu City (Capital)
222
Mandaue City
230
Davao (Davao Del Norte)
240
Davao Del Sur (Excluding Davao City)
241
Davao City
250
Davao Oriental
260
Eastern Samar
270
Ifugao
280
Ilocos Norte
290
Ilocos Sur
300
Iloilo (Excluding Iloilo City)
301
Iloilo City (Capital)
310
Isabela
320
Kalinga
330
La Union
340
Laguna
350
Lanao Del Norte (Excluding Iligan City)
351
Iligan City
360
Lanao Del Sur
370
Leyte
380
Maguindanao
390
Manila
400
Marinduque
410
Masbate
420
Misamis Occidental
430
Misamis Oriental (Excluding Cagayan De Oro Cit
431
Cagayan De Oro City (Capital)
440
Mountain Province
450
Negros Occidental (Excluding Bacolod City)
451
Bacolod City (Capital)
460
Negros Oriental
470
Cotabato (North Cotabato)
480
Northern Samar
490
Nueva Ecija
500
Nueva Vizcaya
510
Occidental Mindoro
520
Oriental Mindoro
530
Palawan
540
Pampanga (Excluding Angeles City)
541
Angeles City
550
Pangasinan
560
Quezon (Excluding Lucena City)
561
Lucena City (Capital)
570
Quirino
580
Rizal
590
Romblon
600
Samar (Western Samar)
610
Siquijor
620
Sorsogon
630
South Cotabato (Excluding General Santos City)
631
General Santos City (Dadiangas)
640
Southern Leyte
650
Sultan Kudarat
660
Sulu
670
Surigao Del Norte
680
Surigao Del Sur
690
Tarlac
700
Tawi-Tawi
710
Zambales (Excluding Olongapo City)
711
Olongapo City
720
Zamboanga Del Norte
730
Zamboanga Del Sur (Excluding Zamboanga City)
731
Zamboanga City
741
City Of Mandaluyong
742
City Of Marikina
743
City Of Pasig
744
Quezon City
745
San Juan
751
City Of Valenzuela
752
Kalookan City
753
Malabon
754
Navotas
761
City Of Las PiƱas
762
City Of Makati
763
City Of Muntinlupa
764
City Of ParaƱaque
765
Pasay City
766
Pateros
767
Taguig
770
Aurora
780
Biliran
790
Guimaras
800
Sarangani
810
Apayao
820
Compostela Valley
981
Cotabato City
982
Marawi City
This variable indicates the recoded province/key city.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Type of building
Type of building
Type of building
Type of building
Type of building
B1. Type of building/house
(Please cross out one of the selection below)
[] Single house
[] Duplex
[] Multi-unit residential (three units or more)
[] Commercial/industrial/agricultural (office, factory, rice mill, etc.)
[] Institutional living quarters (hotel, hospital, etc.)
[] Other housing unit (boat, cave, etc.)
B1 Type of building/house
The distribution of households by type of building supplies information about the available housing accommodation at the time of the census, patterns of living, and building trends. Such details are essential for planning future housing needs. For housing programmes, information is required on the number of households that need to be provided with housing. The number of households living in marginal housing units (commercial/industrial/agricultural buildings used as living quarters such as barns, warehouses, mills, offices, etc., and other housing units such as boats, caves, etc.) provides a first approximation of this element of housing needs.
Cross out the circle the applicable type of building occupied by the household. The types of building are as follows:
[] 1 Single House - This is an independent structure intended for one household separated by open space or walls from all other structures. It includes the so-called "nipa hut" or a small house that is built as a more or less permanent housing unit or a "barong-barong" made of salvaged/makeshift/improvised materials.
[] 2 Duplex - This is a structure intended for two households, with complete living facilities for each. It is divided vertically or horizontally into two separate housing units which are usually identical.
[] 3 Multi-Unit Residential (3 or more units) - This is a building intended for residential use only, consisting of 3 or more housing units. These houses may consist of one or more stories in a row of three or more housing units, separated from each other by walls extending from the ground to the roof or a building having floors to accommodate three or more housing units.
Example:
a. Apartment building - a structure usually of several stories, made up of three or more independent entrances from internal halls or courts. An apartment has one common entrance from the outside.
b. Accesoria - a one or two-floor structure divided into three or more housing units, each housing unit having its own separate entrance from the outside. Another name for accesoria is row house.
c. Residential condominium - a high-rise building where the housing units are owned individually but the land and other areas and facilities are owned in common.
Note: A building that was originally constructed as a single house or duplex, but now partitioned into three or more rooms/groups of rooms (with separate entrance from a common hall or passage) without changing the outside structure or appearance, will be classified as a single house or a duplex, as the case may be.
[] 4 Commercial/Industrial/Agricultural - These buildings are not intended mainly for human habitation but used as living quarters of households at the time of the census.
A commercial building is a building built for transacting business or for rendering professional services, such as a store, office, warehouse, rice mill, etc.
An industrial building is a building built for processing, assembling, fabricating, finishing, manufacturing or packaging operations, such as a factory or a plant.
An agricultural building is any structure built for agricultural purposes, such as a barn, stable, poultry house, granary, etc.
[] 5 Institutional Living Quarters - Hotels, motels, inns, boarding houses, dormitories, pensions and lodging houses fall within this category. This group comprises permanent structures which provide lodging and/or meals on fee basis. Institutional buildings are buildings intended for persons confined to receive medical, charitable or other care/treatment such as hospital and orphanages, for persons detained such as jails and penal colonies, and other buildings like convents, school dormitories, etc.
Also included in this category are camps which are defined sets of premises originally intended for the temporary accommodation of persons with common activities or interests like military camps, and other camps established for the housing of workers in mining, agriculture, public works or other types or enterprises.
[] 6. Other Housing Units - This refers to living quarters which are not intended for human habitation nor located in permanent buildings but which are nevertheless, used as living quarters at the time of the census. Caves, old railroad cars, other natural shelters and mobile housing units such as trailer, barge, cart, boat, etc., fall within this category.
Note: When a building is intended partly for residential purposes and partly for commercial or industrial purposes, report as residential (code 1, 2 or 3) if half or more of the building is residential. Thus, if the second floor of a two-storey building is for housing, the building should be classified as residential. Likewise, if a one- storey building is divided into several units, and the front part of each unit is for business purposes and the back part is for living quarters, also report the building as residential.
All households
1
Single house
2
Duplex
3
Multi-unit residential
4
Commercial/industrial/agricultural
5
Institutional living quarters
6
Other housing unit
9
Unknown
This variable indicates the type of building/house (single house, duplex, etc.).
Group Quarters Variables -- HOUSEHOLD
IPUMS
Construction materials of the roof
Construction materials of the roof
Construction materials of the roof
Construction materials of the roof
Construction materials of the roof
B2. Construction material of the roof
(Please cross out one of the selections below)
[] Galvanized iron/aluminum
[] Tile concrete/clay tile
[] Half galvanized iron and half concrete
[] Wood
[] Cogon/nipa/anahaw
[] Asbestos
[] Makeshift/salvaged/improvised materials
[] Others, specify___
B2 Construction material of the roof
The construction material of the roof and wall provides information of the construction, replacement and improvement of housing units.
This indicator provides data in evaluating construction statistics, programme implementation, and for estimating the investment, past and future, in housing construction. It also determines how many of the households are housed in structurally acceptable housing units. Structural acceptability of housing units implies that these are made of durable construction materials that will safeguard the household occupants from adverse climatic effects and provide protection and privacy.
Cross out the circle opposite the kind of material used in the construction of the roof. This item can be answered through observation but if you are in doubt, ask the respondent.
The kinds of construction materials of the roof are as follows:
[] 1 Galvanized Iron/aluminum
[] 2 Tile/concrete/clay tile
[] 3 Half galvanized iron and half concrete
[] 4 Wood
[] 5 Cogon/nipa/anahaw
[] 6 Asbestos
[] 7 Makeshift/salvaged/improvised materials
[] 8 Others, specify
If two or more kinds of materials are used, report the material most used. Thus, for a house with different kinds of roofs, report the material used in the main portion (usually containing the living room/sala and bedrooms). Specify the kind of construction material used for the roof if it is not one of the categories mentioned above it.
Bamboo when used as roofing is included in category of Wood.
Housing units in structures such as culverts, bridges, etc. should have a marked circle opposite Makeshift/salvaged/improvised materials.
All households
1
Galvanized iron or aluminium
2
Tile, concrete, clay tile
3
Part galvanized iron and part concrete
4
Wood
5
Cogon, nipa, anahaw
6
Asbestos
7
Makeshift, salvaged, or improvised materials
8
Other
9
Unknown
This variable indicates the construction material of the roof.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Construction materials of the outer walls
Construction materials of the outer walls
Construction materials of the outer walls
Construction materials of the outer walls
Construction materials of the outer walls
B3. Construction material of the outer walls
(Please cross out one of the selections below)
[] Concrete/brick/stone
[] Wood
[] Half concrete/brick/stone/ and half wood
[] Galvanized iron/aluminum
[] Bamboo/sawali/cogon/nipa
[] Asbestos
[] Glass
[] Makeshift/salvaged/improvised materials
[] Others, specify___
[] No walls
B3 Construction materials of the outer walls
Cross out the circle applicable to the kind of materials used in the construction of the outer walls. Fill up this item only through observation but if in doubt, ask the respondent for the material mainly used for the outer walls.
The kinds of construction materials of the walls are as follows:
[] 01 Concrete/brick/stone
[] 02 Wood
[] 03 Half concrete/brick/stone and half wood
[] 04 Galvanized iron/aluminum
[] 05 Bamboo/sawali/cogon/nipa
[] 06 Asbestos
[] 07 Glass
[] 08 Makeshift/salvaged/improvised materials
[] 09 Others, specify
[] 10 No walls
For a house or building in which half of the stories are walled with concrete/brick7stone and the other half, with wood, marked the circle opposite the category Half concrete/brick/stone and half wood. Mark also this category wherein the walls are made of about half of each of the two groups of materials.
For a two-storey house especially in rural areas wherein the ground floor is used for poultry, storage of grains, farm implements, etc., report the material used in walling the second floor, unless the walls can be classified under Half concrete/brick/stone and half wood. In other cases where in the walls are made of different materials, report the material dominantly used.
Housing units in non-building structures such as culverts, bridges, etc. should have a marked circle of category Makeshift/Salvaged/Improvised Materials.
Cross out the circle of category "others" and specify the kind of material used for the outer walls if it is not one of those mentioned above.
All households
1
Concrete/brick/stone
2
Wood
3
Half concrete/brick/Stone/and half Wood
4
Galvanized iron/aluminum
5
Bamboo/sawali/cogon/nipa
6
Asbestos
7
Glass
8
Makeshift/salvaged/improvised materials
9
Others
10
No walls
99
Unknown
This variable indicates the construction materials of the outer wall.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
State of repair
State of repair
State of repair
State of repair
State of repair
B4. State of repair
Determine the current condition of the building/house
(Please cross out one of the selections below)
[] Needs no repair/needs minor repair
[] Needs major repair
[] Dilapidated/condemned
[] Under renovation/being repaired
[] Under construction
[] Unfinished construction
B4 State of repair
This provides information on the current status of the building which is of special significance to housing programmes. It is also useful for housing priorities and for the identification of groups in need of housing repair.
Determine the current state of repair of the building/house and cross out the circle opposite the appropriate selection.
1 Needs no repair/needs minor repair - This building is usually new or has a good building maintenance, i.e., no deterioration is apparent from the outside.
2 Needs major repair - The building cannot fully protect the occupants from the elements (rain, wind, temperature). It may have cracks in the interior walls, leaking roof, holes on the floors, broken windows, etc. which can only be mended by major repair.
3 Dilapidated/condemned - This building is beyond repair. Dilapidated parts are found in pillars, roofs and outer walls needing renovation. Condemned buildings, wherein substandard materials/procedures were used in the construction or which are structurally defective, are also included here.
4 Under renovation/being repaired - This is a building that was fully constructed and finished but is now being repaired for some deterioration or damages. This also includes buildings being renovated to make additional structures or to modify/repair existing structures.
5 Under construction - The construction work has started but not yet completed and the construction is still going on.
Construction means all on-site work done from site preparation, excavation, foundation, and assembly of all components and installation of utilities and equipment of buildings/structures.
6 Unfinished construction - This is a partly constructed building but at the time of visit, construction is temporarily or permanently stopped, that is, no construction activity is going on for quite some time.
All households
1
Needs no repair/needs minor repair
2
Needs major repair
3
Dilapidated/condemned
4
Under renovation/being repaired
5
Under construction
6
Unfinished construction
9
Unknown
This variable indicates the current condition of the building/house (e.g. whether it needs repair).
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Year building/house was built
Year building/house was built
Year building/house was built
Year building/house was built
Year building/house was built
B5. Year building/house was built
When was this building/house built?
(Please cross out one of the selections below)
[] 2000
[] 1999
[] 1998
[] 1997
[] 1996
[] 1991-1995
[] 1981-1990
[] 1971-1980
[] 1961-1970
[] 1960 or earlier
[] Not applicable
[] Don't know
B5 Year building/house was built
This provides the basis for appraising the building/house inventory in terms of durability, the expected rate of replacement, and the estimate of the annual rate of building/house construction during the inter-censal period or the preceding 10 years. It also provides the estimate for maintenance costs and an insight into the housing patterns of the population.
The year the building was built refers to the year when the construction was completed and when ready for occupancy and not when construction began. Generally, building construction commenced and finished within the same year, although there are cases when the period of construction extends to several years. Report the year when the building was finished.
If the building is being constructed and vacant, mark the circle opposite the category Not applicable to signify that the question is not applicable to the building. If the building is being constructed but already occupied, enter the year when it was occupied.
Cross out the circle opposite the appropriate selection.
[] 01 2000
[] 02 1999
[] 03 1998
[] 04 1997
[] 05 1996
[] 06 1991-1995
[] 07 1981-1990
[] 08 1971-1980
[] 09 1961-1970
[] 10 1960 or earlier
[] 98 Not applicable
[] 99 Don't Know
If the respondent finds difficulty in giving the year the building/house was ready for occupancy, help approximate the year by mentioning some historical/national events. The respondent himself may mention an event that occurred when the building was built.
All households
1
2000
2
1999
3
1998
4
1997
5
1996
6
1991-1995
7
1981-1990
8
1971-1980
9
1961-1970
10
1960 or earlier
11
Still under construction and vacant
98
Respondent did not know
99
Unknown
This variable indicates the year the building/house was built.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Floor area of the housing unit
Floor area of the housing unit
Floor area of the housing unit
Floor area of the housing unit
Floor area of the housing unit
D1. Floor area of the housing unit
What is the estimated floor area of this housing unit?
(Please cross out one of the selections below)
Square meter/Square feet
[] Less than 10 / Less than 108
[] 10-19 / 108-209
[] 20-29 / 210-317
[] 30-49 / 318-532
[] 50-69/ 533-748
[] 70-89 / 749-963
[] 90-119 / 964-1286
[] 120-149 / 1287-1609
[] 150-199 / 1610-2147
[] 200 and over / 2148 and over
D1 Floor area of the housing unit
Density of occupancy in terms of floor area per person is a measure of the adequacy of housing. In line with the aim of housing policy to provide adequate housing space to a level consistent with the maintenance of health of the occupants, it is important in planning to adopt housing standards.
The data on floor area will provide planners information on the current status of the density of occupancy of existing housing units in the country.
Cross out the circle of the selection made.
[Table omitted].
Floor area refers to the space enclosed by the exterior wall of the housing unit. In case of several floors, get the area of each floor in square meters or square feet and add together to get the total floor area of the housing unit.
There are many ways in approximating the total floor area. You may use any method which is more convenient to you. You may use a meter stick, visual approximation (using your eyes only) or your pace factor (see Appendix 4). In case the respondent does not know the floor area of the housing unit, you can approximate the floor area using any of the above mentioned methods. Familiarize yourself with the length of a meter so that you can do visual approximation.
An example of getting the estimate of floor area is shown in Illustration 7.3. In this illustration, it is assumed that the width and length of the floor spaces are already determined using one of the methods discussed above.
To get the estimated floor area (EFA) of the around floor, use the following formula:
EFA ground floor = 10 meters x 7 meters = 70 sq. m.
Using the same procedure for the second floor,
EFA second floor =10 meters x 9 meters = 90 SQ. m.
To get the total estimated floor area of the housing unit, which will be the answer to the inquiry "What is the estimated floor area of this housing unit?"
EFA ground floor + EFA second floor =70 + 90= 160 sq.m.
For this example, mark the circle opposite the range of values that includes the given answer, in this case, of category 150-199.
All households
1
Less than 10 square meters
2
10 - 19 sq. m.
3
20 - 29 sq. m.
4
30 - 49 sq. m.
5
50 - 69 sq. m.
6
70 - 89 sq. m.
7
90 - 119 sq.m.
8
120 - 149 sq.m.
9
150 - 199 sq.m.
10
200 sq. m. and over
99
Unknown
This variable indicates, in square meters, the estimated floor area of the housing unit.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Fuel for lighting
Fuel for lighting
Fuel for lighting
Fuel for lighting
Fuel for lighting
H1. Fuel for lighting
What kind of fuel does this household use for lighting?
(Please cross out one of the selections below)
[] Electricity
[] Kerosene (gas)
[] Liquefied Petroleum Gas (LPG)
[] Oil (vegetable, animal, etc)
[] Others, specify ___
H1 Fuel for lighting
The proportion of households with access to electricity can provide planners useful indication of areas where community lighting needs to be extended. Data on types of fuel can be analyzed to forecast future demands for various sources of energy and hence plan for power installations.
Cross out the circle opposite the category which corresponds to the fuel used by the household for its lighting facility. If the household is using electricity, mark the circle for this item even if it is not used most of the time. If two or more types of lighting are used, except electricity, e.g., kerosene and oil, oil and candles, etc., report the type of lighting which is used most of the time.
Cross out the circle, therefore, of the category corresponding to the type of lighting used more often than the other. The types of fuel for lighting and their codes are as follows:
[] 1 Electricity
[] 2 Kerosene (gas)
[] 3 Liquefied petroleum gas (LPG)
[] 4 Oil (vegetable, animal, etc.)
[] 5 Others, specify
If the household uses a generator, report the fuel being used to run the generator.
Refer to Illustration 8.4 for the different types of fuel for lighting.
H2 Fuel for cooking
The information on fuel for cooking is relevant in assessing energy planning decisions, energy conservation programs and in developing marketing strategies. It also serves as a benchmark for the study of changes in household energy used and user patterns over time. It is also useful in monitoring supply and demand requirements for alternative fuels.
The question in H2 asks for the kind of fuel the household users most of the time for cooking. Mark the corresponding circle for the appropriate item. If two or more kinds of cooking fuel are used, e.g., electricity and LPG; LPG and wood; kerosene and charcoal; etc., report the fuel which is used most of the time for cooking.
[] 1 Electricity
[] 2 Kerosene (gas)
[] 3 Liquefied petroleum gas (LPG)
[] 4 Charcoal
[] 5 Wood
[] 6 Others, specify
[] 7 None
For power from generators, report the fuel used to run the generator. See illustration 8.5 for the different kinds of fuel for cooking.
All households
1
Electricity
2
Kerosene (gaas)
3
Liquefied petroleum gas (LPG)
4
Oil (vegetable, animal, etc)
5
Others
This variable indicates the kind of fuel the household uses for lighting.
Utilities Variables -- HOUSEHOLD
IPUMS
Fuel for cooking
Fuel for cooking
Fuel for cooking
Fuel for cooking
Fuel for cooking
H2. Fuel for cooking
What fuel does this household use most of the time for cooking?
(Please cross out one of the selections below)
[] Electricity
[] Kerosene (gaas)
[] Liquefied Petroleum Gas (LPG)
[] Charcoal
[] Wood
[] Others, specify ___
[] None
H2 Fuel for cooking
The information on fuel for cooking is relevant in assessing energy planning decisions, energy conservation programs and in developing marketing strategies. It also serves as a benchmark for the study of changes in household energy used and user patterns over time. It is also useful in monitoring supply and demand requirements for alternative fuels.
The question in H2 asks for the kind of fuel the household users most of the time for cooking. Mark the corresponding circle for the appropriate item. If two or more kinds of cooking fuel are used, e.g., electricity and LPG; LPG and wood; kerosene and charcoal; etc., report the fuel which is used most of the time for cooking.
[] 1 Electricity
[] 2 Kerosene (gas)
[] 3 Liquefied petroleum gas (LPG)
[] 4 Charcoal
[] 5 Wood
[] 6 Others, specify
[] 7 None
For power from generators, report the fuel used to run the generator. See illustration 8.5 for the different kinds of fuel for cooking.
All households
1
Electricity
2
Kerosene (gaas)
3
Liquefied petroleum gas (LPG)
4
Charcoal
5
Wood
6
Other
7
None
9
Unknown
This variable indicates the kind of fuel the household uses most of the time for cooking.
Utilities Variables -- HOUSEHOLD
IPUMS
Source of water supply for cooking/drinking
Source of water supply for cooking/drinking
Source of water supply for cooking/drinking
Source of water supply for cooking/drinking
Source of water supply for cooking/drinking
H3. Source of water supply for drinking and/or cooking
What is this household's main source of water supply for drinking and/or cooking?
(Please cross out one of the selections below)
[] Own use. faucet, community water system
[] Shared, faucet, community water system
[] Own, use, tubed/piped deep well (at least 100 ft/30 m deep)
[] Shared, tubed/piped deep well
[] Tubed/piped shallow well
[] Dug well
[] Spring, lake, river, rain, etc.
[] Peddler
[] Bottled water
[] Others, specify ___
H3, H4 Source of water supply for drinking and/or cooking, for laundry and/or bathing
The information on main source of drinking water provides the number of households with ready access to a potable water supply, as well as the availability of piped water for each housing unit. The provision of a piped water installation for every housing unit should be one of the primary objectives of housing policy as well as of public health policy.
Determine from the respondent the household's main source of water for drinking and/or cooking
(H3) and for laundry and/or bathing (H4). Enter the appropriate code in the box provided. If there are two or more sources of water for drinking, report the source used most of the time during the past twelve months.
The different sources of drinking water and their codes are as follows:
[] 01 Own use, faucet, community water system - The household gets its water supply from a faucet inside the house/yard directly connected to a water pipeline from the community water system such as the Metropolitan Waterworks and Sewerage System (MWSS) or the local water network system.
The method on how they purify the water or the real source of water is irrelevant. Thus, for water systems which have deep well as their source of water, report under this category as long as they subscribe to community water system.
[] 02 Shared, faucet, community water system - The household gets its water supply from the faucet of another household, establishment, or office, which is connected to the community water system.
[] 03 Own use, tubed/piped deep well - Water is taken from a tubed/piped well which is at least 100 feet (5 ximkm{(on(:8(neet pipes or 30 meters deep) and for private use of the household or households in the same building or compound.
[] 04 Shared, tubed/piped deep well - Water is taken from a deep well, which is at least 100 ft. or 30 meters deep of another household, establishment, or office or from a deep well which was constructed for public use.
[] 05 Tubed/piped shallow well - Water is taken from a tubed/piped well which is less than 100 feet deep.
[] 06 Dug Well - The household gets its water supply from a well, which may be provided with a protective device against contamination or pollution. A shallow well (dug and with water depository) which is provided with a pump and cover and is free from seepage from the side, and an ordinary dug well ("balon") also belong to this type.
[] 07 Spring, lake, river, rain, etc. - The household gets its water supply from natural bodies of water, or water is accumulated from rainfall.
[] 08 Peddler - Included in this item are water bought in tanks, drums, pails, etc. (peddler). These are the usual sources of water supply of households in low water pressure areas with no community water system.
[] 09 Bottled Water - Mineral/distilled water bought in bottles, or gallons are under this category.
[] 10 Others, Specify - Includes other sources not mentioned in categories 1 to 9 above.
Refer to Illustration 8.6 for the different sources of water supply.
All households
1
Own use, faucet, community water system
2
Shared, faucet, community water system
3
Own use, tubed/piped deep well
4
Shared, tubed/piped deep well
5
Tubed/piped shallow well
6
Dug well
7
Spring, lake, river, rain, etc.
8
Peddler
9
Bottled water
10
Others
99
Unknown
This variable indicates the household's main source of water supply for drinking and/or cooking.
Utilities Variables -- HOUSEHOLD
IPUMS
Source of water supply for laundry/bathing
Source of water supply for laundry/bathing
Source of water supply for laundry/bathing
Source of water supply for laundry/bathing
Source of water supply for laundry/bathing
H4. Source of water supply for laundry and/or bathing
What is this household's main source of water supply for laundry and/or bathing?
(Please cross out one of the selections below)
[] Own use. faucet, community water system
[] Shared, faucet, community water system
[] Own, use, tubed/piped deep well (at least 100 ft/30 m deep)
[] Shared, tubed/piped deep well
[] Tubed/piped shallow well
[] Dug well
[] Spring, lake, river, rain, etc.
[] Peddler
[] Others, specify ___
H3, H4 Source of water supply for drinking and/or cooking, for laundry and/or bathing
The information on main source of drinking water provides the number of households with ready access to a potable water supply, as well as the availability of piped water for each housing unit. The provision of a piped water installation for every housing unit should be one of the primary objectives of housing policy as well as of public health policy.
Determine from the respondent the household's main source of water for drinking and/or cooking
(H3) and for laundry and/or bathing (H4). Enter the appropriate code in the box provided. If there are two or more sources of water for drinking, report the source used most of the time during the past twelve months.
The different sources of drinking water and their codes are as follows:
[] 01 Own use, faucet, community water system - The household gets its water supply from a faucet inside the house/yard directly connected to a water pipeline from the community water system such as the Metropolitan Waterworks and Sewerage System (MWSS) or the local water network system.
The method on how they purify the water or the real source of water is irrelevant. Thus, for water systems which have deep well as their source of water, report under this category as long as they subscribe to community water system.
[] 02 Shared, faucet, community water system - The household gets its water supply from the faucet of another household, establishment, or office, which is connected to the community water system.
[] 03 Own use, tubed/piped deep well - Water is taken from a tubed/piped well which is at least 100 feet (5 ximkm{(on(:8(neet pipes or 30 meters deep) and for private use of the household or households in the same building or compound.
[] 04 Shared, tubed/piped deep well - Water is taken from a deep well, which is at least 100 ft. or 30 meters deep of another household, establishment, or office or from a deep well which was constructed for public use.
[] 05 Tubed/piped shallow well - Water is taken from a tubed/piped well which is less than 100 feet deep.
[] 06 Dug Well - The household gets its water supply from a well, which may be provided with a protective device against contamination or pollution. A shallow well (dug and with water depository) which is provided with a pump and cover and is free from seepage from the side, and an ordinary dug well ("balon") also belong to this type.
[] 07 Spring, lake, river, rain, etc. - The household gets its water supply from natural bodies of water, or water is accumulated from rainfall.
[] 08 Peddler - Included in this item are water bought in tanks, drums, pails, etc. (peddler). These are the usual sources of water supply of households in low water pressure areas with no community water system.
[] 09 Bottled Water - Mineral/distilled water bought in bottles, or gallons are under this category.
[] 10 Others, Specify - Includes other sources not mentioned in categories 1 to 9 above.
Refer to Illustration 8.6 for the different sources of water supply.
All households
1
Own use, faucet, community water system
2
Shared, faucet, community water system
3
Own use, tubed/piped deep well
4
Shared, tubed/piped deep well
5
Tubed/piped shallow well
6
Dug well
7
Spring, lake, river, rain etc.
8
Peddler
9
Others
This variable indicates the household's main source of water supply for laundry and/or bathing.
Utilities Variables -- HOUSEHOLD
IPUMS
Tenure of the housing unit
Tenure of the housing unit
Tenure of the housing unit
Tenure of the housing unit
Tenure of the housing unit
H5. Tenure of the housing unit
Do you own or amortize this housing unit occupied by your household or do you rent it, do you occupy it rent-free with consent of owner or rent-free without consent of owner?
(Please cross out one of the selections below)
[] Owned/being amortized
[] Rented (Skip to H9)
[] Rent-free with consent of owner (Skip to H10)
[] Rent-free without consent of owner (Skip to H10)
H5 Tenure status of the housing unit
The extent to which households own or rent the living quarters which they occupy is of special significance to housing programmes. Data on tenure status is also useful for housing priorities and policies, in promotion of house ownership and identification of groups in need of housing assistance.
Housing unit. A structurally separate and independent place of abode which, by the way it has been constructed, converted, or arranged is intended for habitation by one household.
Ask the respondent the question, "Do you own or amortize this housing unit occupied by your household or do you rent, rent-free with consent of owner, or rent-free without consent of owner?"
Cross out the circle corresponding to the tenure status of the housing unit by the household.
The tenure status of the housing unit and their corresponding codes are as follows:
[] 1 Owned/being amortized - if the household is the owner and has legal possession of the housing unit or the household claims to own it. Included also are those housing units which are being amortized or paid on installment basis.
[] 2 Rented - if the occupant actually pays rent either in cash or in kind.
[] 3 Rent-free with consent of owner - if the household occupies the housing unit with the permission of the owner and without paying any rent in cash or in kind to the owner. Included here are the households of farm tenants/lessees who occupy rent-free houses belonging to the owner of the lands they farm; also those employees given free housing as part of fringe benefits (they are made to vacate the housing unit upon separation from work.)
[] 4 Rent-free without consent of owner - if the household occupies the housing unit without the consent or knowledge of the owner. Examples are squatters who are occupying public and private buildings.
Specifically:
1. if the crossed out answer in H5 is Rented, skip to H9.
2. if the crossed out answer in H5 is Rent-free w/ consent of owner or Rent-free w/o consent of owner, skip to H10
All households
1
Owned/being amortized
2
Rented
3
Rent-free with consent of owner
4
Rent-free without consent of owner
9
Unknown
This variable indicates the tenure status of the housing unit (whether it is owned, rented, etc.).
Household Economic Variables -- HOUSEHOLD
IPUMS
Acquisition of housing unit
Acquisition of housing unit
Acquisition of housing unit
Acquisition of housing unit
Acquisition of housing unit
H6. Acquisition of housing unit
How did you acquire this housing unit?
(Please cross out one of the selections below)
[] Purchased
[] Constructed by the owner/occupants with or without help of
friends/relatives
[] Constructed by hired/skilled worker
[] Constructed by an organized contractor
[] Inherited (Skip to H8)
[] Others (lottery, gift) (Skip to H8)
H6 Acquisition of housing unit
Ask the question in H6, "How did you acquire this housing unit?" only if the entry in H5 is Owned/being amortized. Mark the circle which describes how the household acquired the housing unit.
The different categories for this item and their corresponding codes are:
1 Purchased
2 Constructed by the owner/occupants with or without the help of friends/relatives
3 Constructed by hired/skilled workers - The owner of the housing unit took charge of purchasing construction materials and hiring construction workers and directly supervised the construction of the housing unit
4 Constructed by an organized contractor - The owner entered into a contract with a general contractor for the latter to supply either labor only or both labor and materials
5 Inherited
6 Others (lottery, gift)
If the answer in this question is Inherited or Others (lottery, gift), skip to H8.
Households that own or are amotizing their housing unit
NIU (not in universe)
1
Purchased
2
Constructed by the owner/occupants
3
Constructed by hired/skilled workers
4
Constructed by an organized contractor
5
Inherited
6
Others (lottery, gift)
9
Unknown
This variable indicates how the housing unit was acquired (e.g. purchased, constructed by hired workers).
Household Economic Variables -- HOUSEHOLD
IPUMS
Home financing, own resources
Home financing, own resources
Home financing, own resources
Home financing, own resources
Home financing, own resources
H7. Souce of financing
Do you avail of the following sources of financing in the construction/purchase of this housing unit?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Own resources/interest-free loans from relatives/friends
[] / [] Government assistance, PAG-IBIG, GSIS, SSS, DBP, etc.
[] / [] Private banks/foundations/cooperatives
[] / [] Employer assistance
[] / [] Private persons
[] / [] Others, specify ___
H7 Sources of financing
The data on source(s) of financing give information on the extent to which housing assistance is provided by the government. Specifically, these will monitor government participation in terms of financing or administering the construction of new residential units.
Ask the question in H7 only if an answer in H6 is Purchased, Constructed by owner/occupants with or without the help of friends/relatives, Constructed by hired/skilled workers, or Constructed by an organized contractor.
The different sources of financing and the corresponding method of selections are follows:
Yes No
[] [] Own resources/interest-free loans from relatives/friends
[] []Government assistance: PAG-IBIG, SSS, GSIS, DBP, etc.
[] []Private banks/foundations/cooperatives
[] []Employer assistance
[] []Private persons
[] []Others, specify
For each of these sources of financing, mark each circle with an x for Yes or No responses.
If the household has availed of a source of financing not included on those listed, cross out the circle for Yes in "Others" and specify the source of financing, otherwise, mark the circle for No.
Households that purchased or constructed the housing unit
1
Own resources/interest free loans from relatives/friends
2
Not own resources/interest free loans from relatives/friends
8
Unknown
9
NIU (not in universe)
This variable indicates whether own resources or interest free loans from relatives/friends were used in financing the construction/purchase of the housing unit.
Household Economic Variables -- HOUSEHOLD
IPUMS
Home financing, government assistance
Home financing, government assistance
Home financing, government assistance
Home financing, government assistance
Home financing, government assistance
H7. Souce of financing
Do you avail of the following sources of financing in the construction/purchase of this housing unit?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Own resources/interest-free loans from relatives/friends
[] / [] Government assistance, PAG-IBIG, GSIS, SSS, DBP, etc.
[] / [] Private banks/foundations/cooperatives
[] / [] Employer assistance
[] / [] Private persons
[] / [] Others, specify ___
H7 Sources of financing
The data on source(s) of financing give information on the extent to which housing assistance is provided by the government. Specifically, these will monitor government participation in terms of financing or administering the construction of new residential units.
Ask the question in H7 only if an answer in H6 is Purchased, Constructed by owner/occupants with or without the help of friends/relatives, Constructed by hired/skilled workers, or Constructed by an organized contractor.
The different sources of financing and the corresponding method of selections are follows:
Yes No
[] [] Own resources/interest-free loans from relatives/friends
[] []Government assistance: PAG-IBIG, SSS, GSIS, DBP, etc.
[] []Private banks/foundations/cooperatives
[] []Employer assistance
[] []Private persons
[] []Others, specify
For each of these sources of financing, mark each circle with an x for Yes or No responses.
If the household has availed of a source of financing not included on those listed, cross out the circle for Yes in "Others" and specify the source of financing, otherwise, mark the circle for No.
Households that purchased or constructed the housing unit
1
Government assistance (PAG-IBIG, GSIS, SSS, DBP, etc)
2
Not government assitance (PAG-IBIG, GSIS, SSS, DBP, etc)
8
Unknown
9
NIU (not in universe)
This variable indicates whether government assistance (PAG-IBIG, GSIS, SSS, DBP, etc) was used in financing the construction/purchase of the housing unit.
Household Economic Variables -- HOUSEHOLD
IPUMS
Home financing, private banks
Home financing, private banks
Home financing, private banks
Home financing, private banks
Home financing, private banks
H7. Souce of financing
Do you avail of the following sources of financing in the construction/purchase of this housing unit?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Own resources/interest-free loans from relatives/friends
[] / [] Government assistance, PAG-IBIG, GSIS, SSS, DBP, etc.
[] / [] Private banks/foundations/cooperatives
[] / [] Employer assistance
[] / [] Private persons
[] / [] Others, specify ___
H7 Sources of financing
The data on source(s) of financing give information on the extent to which housing assistance is provided by the government. Specifically, these will monitor government participation in terms of financing or administering the construction of new residential units.
Ask the question in H7 only if an answer in H6 is Purchased, Constructed by owner/occupants with or without the help of friends/relatives, Constructed by hired/skilled workers, or Constructed by an organized contractor.
The different sources of financing and the corresponding method of selections are follows:
Yes No
[] [] Own resources/interest-free loans from relatives/friends
[] []Government assistance: PAG-IBIG, SSS, GSIS, DBP, etc.
[] []Private banks/foundations/cooperatives
[] []Employer assistance
[] []Private persons
[] []Others, specify
For each of these sources of financing, mark each circle with an x for Yes or No responses.
If the household has availed of a source of financing not included on those listed, cross out the circle for Yes in "Others" and specify the source of financing, otherwise, mark the circle for No.
Households that purchased or constructed the housing unit
1
Private banks/foundations/cooperatives
2
Not private banks/foundations/cooperatives
8
Unknown
9
NIU (not in universe)
This variable indicates whether private banks/foundations/cooperatives assisted in financing the construction/purchase of the housing unit.
Household Economic Variables -- HOUSEHOLD
IPUMS
Home financing, employer's assistance
Home financing, employer's assistance
Home financing, employer's assistance
Home financing, employer's assistance
Home financing, employer's assistance
H7. Souce of financing
Do you avail of the following sources of financing in the construction/purchase of this housing unit?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Own resources/interest-free loans from relatives/friends
[] / [] Government assistance, PAG-IBIG, GSIS, SSS, DBP, etc.
[] / [] Private banks/foundations/cooperatives
[] / [] Employer assistance
[] / [] Private persons
[] / [] Others, specify ___
H7 Sources of financing
The data on source(s) of financing give information on the extent to which housing assistance is provided by the government. Specifically, these will monitor government participation in terms of financing or administering the construction of new residential units.
Ask the question in H7 only if an answer in H6 is Purchased, Constructed by owner/occupants with or without the help of friends/relatives, Constructed by hired/skilled workers, or Constructed by an organized contractor.
The different sources of financing and the corresponding method of selections are follows:
Yes No
[] [] Own resources/interest-free loans from relatives/friends
[] []Government assistance: PAG-IBIG, SSS, GSIS, DBP, etc.
[] []Private banks/foundations/cooperatives
[] []Employer assistance
[] []Private persons
[] []Others, specify
For each of these sources of financing, mark each circle with an x for Yes or No responses.
If the household has availed of a source of financing not included on those listed, cross out the circle for Yes in "Others" and specify the source of financing, otherwise, mark the circle for No.
Households that purchased or constructed the housing unit
1
Employer's assistance
2
Not employer's assistance
8
Unknown
9
NIU (not in universe)
This variable indicates whether employer's assistance was used in financing the construction/purchase of the housing unit.
Household Economic Variables -- HOUSEHOLD
IPUMS
Home financing, private persons
Home financing, private persons
Home financing, private persons
Home financing, private persons
Home financing, private persons
H7. Souce of financing
Do you avail of the following sources of financing in the construction/purchase of this housing unit?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Own resources/interest-free loans from relatives/friends
[] / [] Government assistance, PAG-IBIG, GSIS, SSS, DBP, etc.
[] / [] Private banks/foundations/cooperatives
[] / [] Employer assistance
[] / [] Private persons
[] / [] Others, specify ___
H7 Sources of financing
The data on source(s) of financing give information on the extent to which housing assistance is provided by the government. Specifically, these will monitor government participation in terms of financing or administering the construction of new residential units.
Ask the question in H7 only if an answer in H6 is Purchased, Constructed by owner/occupants with or without the help of friends/relatives, Constructed by hired/skilled workers, or Constructed by an organized contractor.
The different sources of financing and the corresponding method of selections are follows:
Yes No
[] [] Own resources/interest-free loans from relatives/friends
[] []Government assistance: PAG-IBIG, SSS, GSIS, DBP, etc.
[] []Private banks/foundations/cooperatives
[] []Employer assistance
[] []Private persons
[] []Others, specify
For each of these sources of financing, mark each circle with an x for Yes or No responses.
If the household has availed of a source of financing not included on those listed, cross out the circle for Yes in "Others" and specify the source of financing, otherwise, mark the circle for No.
Households that purchased or constructed the housing unit
1
Private persons
2
Not private persons
8
Unknown
9
NIU (not in universe)
This variable indicates whether private persons assisted in financing the construction/purchase of the housing unit.
Household Economic Variables -- HOUSEHOLD
IPUMS
Home financing, other sources
Home financing, other sources
Home financing, other sources
Home financing, other sources
Home financing, other sources
H7. Souce of financing
Do you avail of the following sources of financing in the construction/purchase of this housing unit?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Own resources/interest-free loans from relatives/friends
[] / [] Government assistance, PAG-IBIG, GSIS, SSS, DBP, etc.
[] / [] Private banks/foundations/cooperatives
[] / [] Employer assistance
[] / [] Private persons
[] / [] Others, specify ___
H7 Sources of financing
The data on source(s) of financing give information on the extent to which housing assistance is provided by the government. Specifically, these will monitor government participation in terms of financing or administering the construction of new residential units.
Ask the question in H7 only if an answer in H6 is Purchased, Constructed by owner/occupants with or without the help of friends/relatives, Constructed by hired/skilled workers, or Constructed by an organized contractor.
The different sources of financing and the corresponding method of selections are follows:
Yes No
[] [] Own resources/interest-free loans from relatives/friends
[] []Government assistance: PAG-IBIG, SSS, GSIS, DBP, etc.
[] []Private banks/foundations/cooperatives
[] []Employer assistance
[] []Private persons
[] []Others, specify
For each of these sources of financing, mark each circle with an x for Yes or No responses.
If the household has availed of a source of financing not included on those listed, cross out the circle for Yes in "Others" and specify the source of financing, otherwise, mark the circle for No.
Households that purchased or constructed the housing unit
1
Others
2
Not others
8
Unknown
9
NIU (not in universe)
This variable indicates whether others assisted in financing the construction/purchase of the housing unit.
Household Economic Variables -- HOUSEHOLD
IPUMS
Tenure status of the lot
Tenure status of the lot
Tenure status of the lot
Tenure status of the lot
Tenure status of the lot
H8. Tenure status of the lot
Do you own or amortize this lot occupied by your household or do you rent it, do you occupy it rent-free with consent of owner or rent-free without consent of owner?
(Please cross out one of the selections below)
[] Owned/being amortized
[] Rented
[] Rent-free with consent of owner
[] Rent-free without consent of owner
H8 Tenure status of the lot
Ask the respondent the question, "Do you own or amortize this lot occupied by your household or do your rent, rent-free with consent of owner, or rent-free without consent of owner?
Cross out the circle corresponding to the tenure status of the lot on which the housing unit is built.
The categories of tenure status of the lot are as follows:
1 Owned/being amortized - Ownership of land includes mere occupancy of any public land in rural areas. This also includes house owners paying the land on installment basis or holders of certificate of land under the Land Reform Program or house/lot awardees of housing loan from PAGIBIG, SSS, GSIS or commercial banks.
2 Rented - There is a fixed amount paid by the occupant in cash or in kind.
3 Rent-free with consent of owner - The household occupies the lot with the permission of the owner and without paying any rent in cash or in kind to the owner, tenant/lessee or subtenant/sub-lessee.
4 Rent-free without consent of owner - The household occupies the lot without the permission of the owner.
Filling Up the Housing Questions: An Example
Illustration (7.4) shows an example of the correct way of filling up the housing census questions.
[Illustration 7.4 is omitted]
Households that own or are amotizing their housing unit
1
Owned/being amortized
2
Rented
3
Rent-free with consent of owner
4
Rent-free without consent of owner
8
"
9
NIU (not in universe)
This variable indicates the tenure status of the lot.
Household Economic Variables -- HOUSEHOLD
IPUMS
Monthly rental of the housing unit/lot
Monthly rental of the housing unit/lot
Monthly rental of the housing unit/lot
Monthly rental of the housing unit/lot
Monthly rental of the housing unit/lot
H9. Monthly rental of the housing unit or lot
How much is the monthly rental?
(Please cross out one of the selections below)
[] Below 100
[] 100-199
[] 200-499
[] 500-999
[] 1000-1999
[] 2000-4999
[] 5000-9999
[] 10000 and over
H9 Monthly rental of housing unit or lot
The information on monthly rental of housing unit or lot is used in reviews of government housing policy, and in considering matters such as the need for rent controls. It enables analysis of income level to rental level for particular groups.
Ask the question in H9, "How much is the monthly rental?" only if entry in H5 or H8 is "Rented".
The total monthly rental of the housing unit should exclude rental for furnishings and payment for electricity and water. Rental for the housing unit, which includes furnishings, or payment for electricity and water, can be estimated by subtracting the estimated rental for furnishings or amount for the consumption of water and electricity from the total monthly rental.
Report the monthly rental even if the rent is still unpaid or paid by someone who is not a household member.
Cross out the circle corresponding to the range of cost of monthly rental of housing unit or lot.
[] 1 Below P100
[] 2 100 -199
[] 3 200 - 499
[] 4 500 - 999
[] 5 1,000 - 1,999
[] 6 2,000 - 4,999
[] 7 5,000 - 9,999
[] 8 10,000 and over
Households that rent a housing unit or the lot
NIU (not in universe)
1
Below 100
2
100 to 199
3
200 to 499
4
500 to 999
5
1000 to 1999
6
2000 to 4999
7
5000 to 9999
8
10000 and over
9
Unknown
This variable indicates the monthly rental of the housing unit or lot.
Household Economic Variables -- HOUSEHOLD
IPUMS
Usual manner of garbage disposal
Usual manner of garbage disposal
Usual manner of garbage disposal
Usual manner of garbage disposal
Usual manner of garbage disposal
H10. Usual manner of garbage disposal
How does your household usually dispose of your kitchen garbage such as leftover food, peeling of fruits and vegetables, fish and chicken entrails, etc.?
(Please cross out one of the selections below)
[] Picked-up by garbage truck
[] Dumping in individual pit (not burned)
[] Burning
[] Compositing
[] Burying
[] Feeding to Animals
[] Others, specify ___
H10 Usual manner of garbage disposal
The proportion of households with access to sanitary manner of garbage disposal provides knowledge of the environmental living conditions and is therefore essential for health planners in the formulation of plans and programs to improve general health conditions.
Inquire from the respondent the manner by which the household disposes its kitchen garbage such as leftover food, peelings of fruits and vegetables, fish and chicken entrails, etc. If the household has various ways of disposing its kitchen garbage, ask for the manner used most of the time.
Described below are some of the more common methods of disposal used in the country.
Determine which of these methods best describes the practice of the household. Cross out the circle of one of the selections below.
1 Picked-up by service garbage truck - when the local government or a private contractor manages the systematic collection of garbage in the community through the use of garbage trucks/carts.
2 Dumping in individual pit (not burned) - when garbage is simply thrown in pits whether inside the yard or vacant lots and left to decay.
3 Burning - when the household dumps its garbage in an open space or pit and burns it.
4 Composting - when garbage is composted, that is, allowed to decay under controlled conditions and the composted materials are collected later for use as soil conditioner or fertilizer.
5 Burying - when the garbage is thrown in pit and then covered with soil.
6 Feeding to animals - when the garbage is given to animals as feed.
7 Others, specify - if the household you are interviewing disposes its kitchen garbage in a manner different from those
All households
1
Picked up by garbage truck
2
Dumping in individual pit (not burned)
3
Burning
4
Composting (later used as fertilizer)
5
Burying
6
Feeding to animals
7
Others
This variable indicates the usual manner the household disposes its kitchen garbage.
Utilities Variables -- HOUSEHOLD
IPUMS
Kind of toilet facility
Kind of toilet facility
Kind of toilet facility
Kind of toilet facility
Kind of toilet facility
H11. Kind of toilet facility
What type of toilet facility does this household use?
(Please cross out one of the selections below)
[] Water-sealed, sewer septic tank, used exclusively by household
[] Water-sealed, sewer septic tank, shared with other households
[] Water-sealed, other depository, used exclusively by household
[] Water-sealed, other depository, shared with other household
[] Closed pit (without a water-sealed bowl and depository is constructed usually of large circular tubes made of concrete or clay covered on top and has a small opening; ex. Antipolo, etc.)
[] Open pit (same as closed but without covering)
[] Others (pail system, etc.)
[] None
H11 Kind of toilet facility
The data on kind of toilet facility provide the minimum data required for the evaluation of facilities available to the housing units. Like safe drinking water source, a sanitary toilet facility is a measure to prevent diseases and improve the health condition of household members. This indicator likewise determines the sanitation status of households.
Cross out the circle corresponding to the type of toilet facility used by the household.
The different types of toilet facilities commonly used in buildings and houses throughout the country are:
[] 1 Water-sealed, sewer/septic tank, used exclusively by the household
[] 2 Water-sealed, sewer/septic tank, shared with other households
[] 3 Water-sealed, other depository, used exclusively by the household
[] 4 Water-sealed, other depository, shared with other households
Water sealed - as the name implies, is the type of toilet where after water is flushed or poured into the bowl, a small amount of water is left in the bowl and seals the bottom of the bowl from the pipe leading to the depository.
Sewer/septic tank - a tank in which the solid matter or sewage is accumulated to be disintegrated by bacteria. This is commonly called "Poso Negro".
Other Depository - if the depository is other than a sewer/septic tank.
[] 5 Closed Pit - it is a type of toilet without a water-sealed bowl and the depository is constructed usually of large circular tubes made of concrete or clay covered on top and has a small opening. It may or may not have a box for sitting or squatting over the opening; e.g., antipolo, etc.
[] 6 Open pit - it is the same as closed pit but without covering.
[] 7 Other (pail system, etc.) - classify here a toilet wherein fecal matter is accumulated in a pail to be picked up for disposal from time to time or any kind of toilet facility not belonging to the preceding types.
[] 8 None - for households using no toilet facility.
Refer to Illustration 8.7 for the different types of toilet facilities.
[Illustration 8.7 omitted]
All households
1
Water-sealed, sewer septic tank, used exclusively by household
2
Water-sealed, sewer septic tank, shared
3
Water-sealed, other depository used exclusively by household
4
Water-sealed, other depository, shared
5
Closed pit
6
Open pit
7
Others (pail system etc.)
8
None
This variable indicates the type of toilet facility the household uses.
Dwelling Characteristics Variables -- HOUSEHOLD
IPUMS
Has radio
Has radio
Has radio
Has radio
Has radio
H12. Presence of household conveniences
Does this household have the following household conveniences in working condition?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Radio/Radio Cassette
[] / [] Television Set
[] / [] Refrigerator/Freezer
[] / [] Video/Cassette/Recorder
[] / [] Telephone/Cell phone
[] / [] Washing machine
[] / [] Motorized Vehicle
H12 Presence of household conveniences
This provides information on selected household conveniences, the presence of which in the household is considered important in connection with programmes of public information or education to know by what means of communication the population can be most easily reached. This also provides a basis for leisure statistics. The presence of motor vehicles in the household provides data about access to private transport. It can also provide information for the construction of roads and solution to traffic problems.
For the different household conveniences listed, cross out the circle to indicate Yes or No answer to the inquiry "Does this household have the following household conveniences in working condition?"
YesNo
[][]Radio/radio cassette
[][]Television set
[][]Refrigerator/freezer
[][]Video cassette/recorder
[][]Telephone/cell phone
[][]Washing machine
[][]Motorized vehicle
The category Radio/radio cassette includes transistor, radiophone, stereo or karaoke. The motorized vehicle includes motorcycle, car/jeep/van, motorized banca/boat and tractor.
Exclude here radios, televisions, telephones/cell phones, refrigerators/ freezers, video cassette recorder, washing machine, motorcycles, cars/jeeps/vans and motorized bancas/boats that have not been in working condition for six months or longer (although intended to be repaired). Also exclude those motor vehicles (i.e, motorcycles, cars/jeeps/vans or motorized bancas/boats) which are used exclusively for business purposes.
All households
1
With radio/radio cassette
2
Without radio/radio cassette
This variable indicates whether the household has radio in working condition.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Has television set
Has television set
Has television set
Has television set
Has television set
H12. Presence of household conveniences
Does this household have the following household conveniences in working condition?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Radio/Radio Cassette
[] / [] Television Set
[] / [] Refrigerator/Freezer
[] / [] Video/Cassette/Recorder
[] / [] Telephone/Cell phone
[] / [] Washing machine
[] / [] Motorized Vehicle
H12 Presence of household conveniences
This provides information on selected household conveniences, the presence of which in the household is considered important in connection with programmes of public information or education to know by what means of communication the population can be most easily reached. This also provides a basis for leisure statistics. The presence of motor vehicles in the household provides data about access to private transport. It can also provide information for the construction of roads and solution to traffic problems.
For the different household conveniences listed, cross out the circle to indicate Yes or No answer to the inquiry "Does this household have the following household conveniences in working condition?"
YesNo
[][]Radio/radio cassette
[][]Television set
[][]Refrigerator/freezer
[][]Video cassette/recorder
[][]Telephone/cell phone
[][]Washing machine
[][]Motorized vehicle
The category Radio/radio cassette includes transistor, radiophone, stereo or karaoke. The motorized vehicle includes motorcycle, car/jeep/van, motorized banca/boat and tractor.
Exclude here radios, televisions, telephones/cell phones, refrigerators/ freezers, video cassette recorder, washing machine, motorcycles, cars/jeeps/vans and motorized bancas/boats that have not been in working condition for six months or longer (although intended to be repaired). Also exclude those motor vehicles (i.e, motorcycles, cars/jeeps/vans or motorized bancas/boats) which are used exclusively for business purposes.
All households
1
With television set
2
Without television set
This variable indicates whether the household has a television set in working condition.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Has refrigerator/freezer
Has refrigerator/freezer
Has refrigerator/freezer
Has refrigerator/freezer
Has refrigerator/freezer
H12. Presence of household conveniences
Does this household have the following household conveniences in working condition?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Radio/Radio Cassette
[] / [] Television Set
[] / [] Refrigerator/Freezer
[] / [] Video/Cassette/Recorder
[] / [] Telephone/Cell phone
[] / [] Washing machine
[] / [] Motorized Vehicle
H12 Presence of household conveniences
This provides information on selected household conveniences, the presence of which in the household is considered important in connection with programmes of public information or education to know by what means of communication the population can be most easily reached. This also provides a basis for leisure statistics. The presence of motor vehicles in the household provides data about access to private transport. It can also provide information for the construction of roads and solution to traffic problems.
For the different household conveniences listed, cross out the circle to indicate Yes or No answer to the inquiry "Does this household have the following household conveniences in working condition?"
YesNo
[][]Radio/radio cassette
[][]Television set
[][]Refrigerator/freezer
[][]Video cassette/recorder
[][]Telephone/cell phone
[][]Washing machine
[][]Motorized vehicle
The category Radio/radio cassette includes transistor, radiophone, stereo or karaoke. The motorized vehicle includes motorcycle, car/jeep/van, motorized banca/boat and tractor.
Exclude here radios, televisions, telephones/cell phones, refrigerators/ freezers, video cassette recorder, washing machine, motorcycles, cars/jeeps/vans and motorized bancas/boats that have not been in working condition for six months or longer (although intended to be repaired). Also exclude those motor vehicles (i.e, motorcycles, cars/jeeps/vans or motorized bancas/boats) which are used exclusively for business purposes.
All households
1
With refrigerator/freezer
2
Without refrigerator/freezer
This variable indicates whether the household has refrigerator/freezer in working condition.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Has video cassette recorder
Has video cassette recorder
Has video cassette recorder
Has video cassette recorder
Has video cassette recorder
H12. Presence of household conveniences
Does this household have the following household conveniences in working condition?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Radio/Radio Cassette
[] / [] Television Set
[] / [] Refrigerator/Freezer
[] / [] Video/Cassette/Recorder
[] / [] Telephone/Cell phone
[] / [] Washing machine
[] / [] Motorized Vehicle
H12 Presence of household conveniences
This provides information on selected household conveniences, the presence of which in the household is considered important in connection with programmes of public information or education to know by what means of communication the population can be most easily reached. This also provides a basis for leisure statistics. The presence of motor vehicles in the household provides data about access to private transport. It can also provide information for the construction of roads and solution to traffic problems.
For the different household conveniences listed, cross out the circle to indicate Yes or No answer to the inquiry "Does this household have the following household conveniences in working condition?"
YesNo
[][]Radio/radio cassette
[][]Television set
[][]Refrigerator/freezer
[][]Video cassette/recorder
[][]Telephone/cell phone
[][]Washing machine
[][]Motorized vehicle
The category Radio/radio cassette includes transistor, radiophone, stereo or karaoke. The motorized vehicle includes motorcycle, car/jeep/van, motorized banca/boat and tractor.
Exclude here radios, televisions, telephones/cell phones, refrigerators/ freezers, video cassette recorder, washing machine, motorcycles, cars/jeeps/vans and motorized bancas/boats that have not been in working condition for six months or longer (although intended to be repaired). Also exclude those motor vehicles (i.e, motorcycles, cars/jeeps/vans or motorized bancas/boats) which are used exclusively for business purposes.
All households
1
With video cassette recorder
2
Without video cassette recorder
This variable indicates whether the household has video cassette recorder in working condition.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Has telephone/cellphone
Has telephone/cellphone
Has telephone/cellphone
Has telephone/cellphone
Has telephone/cellphone
H12. Presence of household conveniences
Does this household have the following household conveniences in working condition?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Radio/Radio Cassette
[] / [] Television Set
[] / [] Refrigerator/Freezer
[] / [] Video/Cassette/Recorder
[] / [] Telephone/Cell phone
[] / [] Washing machine
[] / [] Motorized Vehicle
H12 Presence of household conveniences
This provides information on selected household conveniences, the presence of which in the household is considered important in connection with programmes of public information or education to know by what means of communication the population can be most easily reached. This also provides a basis for leisure statistics. The presence of motor vehicles in the household provides data about access to private transport. It can also provide information for the construction of roads and solution to traffic problems.
For the different household conveniences listed, cross out the circle to indicate Yes or No answer to the inquiry "Does this household have the following household conveniences in working condition?"
YesNo
[][]Radio/radio cassette
[][]Television set
[][]Refrigerator/freezer
[][]Video cassette/recorder
[][]Telephone/cell phone
[][]Washing machine
[][]Motorized vehicle
The category Radio/radio cassette includes transistor, radiophone, stereo or karaoke. The motorized vehicle includes motorcycle, car/jeep/van, motorized banca/boat and tractor.
Exclude here radios, televisions, telephones/cell phones, refrigerators/ freezers, video cassette recorder, washing machine, motorcycles, cars/jeeps/vans and motorized bancas/boats that have not been in working condition for six months or longer (although intended to be repaired). Also exclude those motor vehicles (i.e, motorcycles, cars/jeeps/vans or motorized bancas/boats) which are used exclusively for business purposes.
All households
1
With telephone/cellphone
2
Without telephone/cellphone
This variable indicates whether the household has telephone/cell phone in working condition.
Utilities Variables -- HOUSEHOLD
IPUMS
Has washing machine
Has washing machine
Has washing machine
Has washing machine
Has washing machine
H12. Presence of household conveniences
Does this household have the following household conveniences in working condition?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Radio/Radio Cassette
[] / [] Television Set
[] / [] Refrigerator/Freezer
[] / [] Video/Cassette/Recorder
[] / [] Telephone/Cell phone
[] / [] Washing machine
[] / [] Motorized Vehicle
H12 Presence of household conveniences
This provides information on selected household conveniences, the presence of which in the household is considered important in connection with programmes of public information or education to know by what means of communication the population can be most easily reached. This also provides a basis for leisure statistics. The presence of motor vehicles in the household provides data about access to private transport. It can also provide information for the construction of roads and solution to traffic problems.
For the different household conveniences listed, cross out the circle to indicate Yes or No answer to the inquiry "Does this household have the following household conveniences in working condition?"
YesNo
[][]Radio/radio cassette
[][]Television set
[][]Refrigerator/freezer
[][]Video cassette/recorder
[][]Telephone/cell phone
[][]Washing machine
[][]Motorized vehicle
The category Radio/radio cassette includes transistor, radiophone, stereo or karaoke. The motorized vehicle includes motorcycle, car/jeep/van, motorized banca/boat and tractor.
Exclude here radios, televisions, telephones/cell phones, refrigerators/ freezers, video cassette recorder, washing machine, motorcycles, cars/jeeps/vans and motorized bancas/boats that have not been in working condition for six months or longer (although intended to be repaired). Also exclude those motor vehicles (i.e, motorcycles, cars/jeeps/vans or motorized bancas/boats) which are used exclusively for business purposes.
All households
1
With washing machine
2
Without washing machine
This variable indicates whether the household has a washing machine in working condition.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Has motorized vehicle
Has motorized vehicle
Has motorized vehicle
Has motorized vehicle
Has motorized vehicle
H12. Presence of household conveniences
Does this household have the following household conveniences in working condition?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Radio/Radio Cassette
[] / [] Television Set
[] / [] Refrigerator/Freezer
[] / [] Video/Cassette/Recorder
[] / [] Telephone/Cell phone
[] / [] Washing machine
[] / [] Motorized Vehicle
H12 Presence of household conveniences
This provides information on selected household conveniences, the presence of which in the household is considered important in connection with programmes of public information or education to know by what means of communication the population can be most easily reached. This also provides a basis for leisure statistics. The presence of motor vehicles in the household provides data about access to private transport. It can also provide information for the construction of roads and solution to traffic problems.
For the different household conveniences listed, cross out the circle to indicate Yes or No answer to the inquiry "Does this household have the following household conveniences in working condition?"
YesNo
[][]Radio/radio cassette
[][]Television set
[][]Refrigerator/freezer
[][]Video cassette/recorder
[][]Telephone/cell phone
[][]Washing machine
[][]Motorized vehicle
The category Radio/radio cassette includes transistor, radiophone, stereo or karaoke. The motorized vehicle includes motorcycle, car/jeep/van, motorized banca/boat and tractor.
Exclude here radios, televisions, telephones/cell phones, refrigerators/ freezers, video cassette recorder, washing machine, motorcycles, cars/jeeps/vans and motorized bancas/boats that have not been in working condition for six months or longer (although intended to be repaired). Also exclude those motor vehicles (i.e, motorcycles, cars/jeeps/vans or motorized bancas/boats) which are used exclusively for business purposes.
All households
1
With motorized vehicle
2
Without motorized vehicle
This variable indicates whether the household has a motorized vehicle in working condition.
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
IPUMS
Owns other residential land
Owns other residential land
Owns other residential land
Owns other residential land
Owns other residential land
H13. Land ownership
Does any member of this household own the following?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Other residential land (s)
[] / [] Agricultural land (s), landowner
[] / [] Agricultural land (s) acquired through CARP, Agrarian Reform Beneficiary
[] / [] Other land (s)
H13 Land ownership
For land ownership, cross out the circle opposite the categories mentioned to indicate a Yes or No answer to the inquiry "Does any member of this household own the following?"
Yes No
[] [] Other residential land(s)
[] [] Agricultural land(s), landowner
[] [] Agricultural land(s) acquired through CARP, Agrarian Reform Beneficiary
[] [] Other land(s)
If a household owns residential land(s), cross out the circle opposite the category "Other residential land(s)" for Yes, otherwise, mark the circle for No. Do the same for succeeding categories.
The third category "Agricultural land(s) acquired through CARP, agrarian reform beneficiary" pertains to land ownership through the Comprehensive Agrarian Reform Program.
1. Emancipation Patent Holder (EP)- this refers to an agrarian reform beneficiary whose land title was acquired through operation land transfer (OLT) program, or rice and corn lands under P.D. 27.
2. Certificate of Landownership Award (CLOA) - this refers to an agrarian reform beneficiary whose land title was acquired under the Comprehensive Agrarian Reform Law (CARL), better known as R.A. 6657. Such title is awarded to agrarian reform beneficiaries in private lands acquired thru voluntary land transfer, compulsory acquisition; and in DAR settlement and landed estates.
3. Homestead Patent (HP) - refers to an agrarian reform beneficiary in settlement areas whose land title was awarded prior to 1989.
4. Leasehold Contract (LC) - refers to tenurial instrument awarded to a lessee in landowner's retained area.
The fourth category "Other Land(s)" include commercial lands, industrial lands, ancestral domains and ancestral lands. The last two categories are distinguished from Torrens Title, and other tenurial instruments granted by a government agency or by the court.
All households
1
Owns other residential land
2
Doesnot own other residential land
This variable indicates whether the household owns other residential land.
Household Economic Variables -- HOUSEHOLD
IPUMS
Owns agricultural land
Owns agricultural land
Owns agricultural land
Owns agricultural land
Owns agricultural land
H13. Land ownership
Does any member of this household own the following?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Other residential land (s)
[] / [] Agricultural land (s), landowner
[] / [] Agricultural land (s) acquired through CARP, Agrarian Reform Beneficiary
[] / [] Other land (s)
H13 Land ownership
For land ownership, cross out the circle opposite the categories mentioned to indicate a Yes or No answer to the inquiry "Does any member of this household own the following?"
Yes No
[] [] Other residential land(s)
[] [] Agricultural land(s), landowner
[] [] Agricultural land(s) acquired through CARP, Agrarian Reform Beneficiary
[] [] Other land(s)
If a household owns residential land(s), cross out the circle opposite the category "Other residential land(s)" for Yes, otherwise, mark the circle for No. Do the same for succeeding categories.
The third category "Agricultural land(s) acquired through CARP, agrarian reform beneficiary" pertains to land ownership through the Comprehensive Agrarian Reform Program.
1. Emancipation Patent Holder (EP)- this refers to an agrarian reform beneficiary whose land title was acquired through operation land transfer (OLT) program, or rice and corn lands under P.D. 27.
2. Certificate of Landownership Award (CLOA) - this refers to an agrarian reform beneficiary whose land title was acquired under the Comprehensive Agrarian Reform Law (CARL), better known as R.A. 6657. Such title is awarded to agrarian reform beneficiaries in private lands acquired thru voluntary land transfer, compulsory acquisition; and in DAR settlement and landed estates.
3. Homestead Patent (HP) - refers to an agrarian reform beneficiary in settlement areas whose land title was awarded prior to 1989.
4. Leasehold Contract (LC) - refers to tenurial instrument awarded to a lessee in landowner's retained area.
The fourth category "Other Land(s)" include commercial lands, industrial lands, ancestral domains and ancestral lands. The last two categories are distinguished from Torrens Title, and other tenurial instruments granted by a government agency or by the court.
All households
1
Owns agricultural land
2
Does not own agricultural land
This variable indicates whether the household owns agricultural land(s). This variable does not include agricultural land(s) acquired through CARP (they are the beneficiary of Agrarian reform).
Household Economic Variables -- HOUSEHOLD
IPUMS
Owns agricultural land acquired through carp, agrarian reform beneficiary
Owns agricultural land acquired through carp, agrarian reform beneficiary
Owns agricultural land acquired through carp, agrarian reform beneficiary
Owns agricultural land acquired through carp, agrarian reform beneficiary
Owns agricultural land acquired through carp, agrarian reform beneficiary
H13. Land ownership
Does any member of this household own the following?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Other residential land (s)
[] / [] Agricultural land (s), landowner
[] / [] Agricultural land (s) acquired through CARP, Agrarian Reform Beneficiary
[] / [] Other land (s)
H13 Land ownership
For land ownership, cross out the circle opposite the categories mentioned to indicate a Yes or No answer to the inquiry "Does any member of this household own the following?"
Yes No
[] [] Other residential land(s)
[] [] Agricultural land(s), landowner
[] [] Agricultural land(s) acquired through CARP, Agrarian Reform Beneficiary
[] [] Other land(s)
If a household owns residential land(s), cross out the circle opposite the category "Other residential land(s)" for Yes, otherwise, mark the circle for No. Do the same for succeeding categories.
The third category "Agricultural land(s) acquired through CARP, agrarian reform beneficiary" pertains to land ownership through the Comprehensive Agrarian Reform Program.
1. Emancipation Patent Holder (EP)- this refers to an agrarian reform beneficiary whose land title was acquired through operation land transfer (OLT) program, or rice and corn lands under P.D. 27.
2. Certificate of Landownership Award (CLOA) - this refers to an agrarian reform beneficiary whose land title was acquired under the Comprehensive Agrarian Reform Law (CARL), better known as R.A. 6657. Such title is awarded to agrarian reform beneficiaries in private lands acquired thru voluntary land transfer, compulsory acquisition; and in DAR settlement and landed estates.
3. Homestead Patent (HP) - refers to an agrarian reform beneficiary in settlement areas whose land title was awarded prior to 1989.
4. Leasehold Contract (LC) - refers to tenurial instrument awarded to a lessee in landowner's retained area.
The fourth category "Other Land(s)" include commercial lands, industrial lands, ancestral domains and ancestral lands. The last two categories are distinguished from Torrens Title, and other tenurial instruments granted by a government agency or by the court.
All households
1
With agricultural land acquired through CARP,agrarian reform beneficiary
2
Without agricultural land acquired through CARP,agrarian reform beneficiary
This variable indicates whether the household owns agricultural land (s) acquired through CARP (indicating a beneficiary of the agrarian reform).
Household Economic Variables -- HOUSEHOLD
IPUMS
Owns other land
Owns other land
Owns other land
Owns other land
Owns other land
H13. Land ownership
Does any member of this household own the following?
(Please cross out yes or no on the selections below)
Yes / No
[] / [] Other residential land (s)
[] / [] Agricultural land (s), landowner
[] / [] Agricultural land (s) acquired through CARP, Agrarian Reform Beneficiary
[] / [] Other land (s)
H13 Land ownership
For land ownership, cross out the circle opposite the categories mentioned to indicate a Yes or No answer to the inquiry "Does any member of this household own the following?"
Yes No
[] [] Other residential land(s)
[] [] Agricultural land(s), landowner
[] [] Agricultural land(s) acquired through CARP, Agrarian Reform Beneficiary
[] [] Other land(s)
If a household owns residential land(s), cross out the circle opposite the category "Other residential land(s)" for Yes, otherwise, mark the circle for No. Do the same for succeeding categories.
The third category "Agricultural land(s) acquired through CARP, agrarian reform beneficiary" pertains to land ownership through the Comprehensive Agrarian Reform Program.
1. Emancipation Patent Holder (EP)- this refers to an agrarian reform beneficiary whose land title was acquired through operation land transfer (OLT) program, or rice and corn lands under P.D. 27.
2. Certificate of Landownership Award (CLOA) - this refers to an agrarian reform beneficiary whose land title was acquired under the Comprehensive Agrarian Reform Law (CARL), better known as R.A. 6657. Such title is awarded to agrarian reform beneficiaries in private lands acquired thru voluntary land transfer, compulsory acquisition; and in DAR settlement and landed estates.
3. Homestead Patent (HP) - refers to an agrarian reform beneficiary in settlement areas whose land title was awarded prior to 1989.
4. Leasehold Contract (LC) - refers to tenurial instrument awarded to a lessee in landowner's retained area.
The fourth category "Other Land(s)" include commercial lands, industrial lands, ancestral domains and ancestral lands. The last two categories are distinguished from Torrens Title, and other tenurial instruments granted by a government agency or by the court.
All households
1
Owns other land
2
Does not own other land
This variable indicates whether the household owns other land.
Household Economic Variables -- HOUSEHOLD
IPUMS
Language/dialect generally spoken
Language/dialect generally spoken
Language/dialect generally spoken
Language/dialect generally spoken
Language/dialect generally spoken
H14. Language/dialect generally spoken
What is the language/dialect generally spoken at home by members of this household?
(Please see code book)
_ _
H14 Language/Dialect generally spoken
Language/dialect generally spoken at home provides a measure of the linguistic homogeneity or difference in the population. It can also be used to measure the extent of actual use of the language/dialect within a household.
Ask the question in H14, "What is the language/dialect generally spoken at home by members of this household?"
The languages/dialects and their corresponding codes can be found in the Code Book.
If two or more languages/dialects are spoken in the household, enter the code for the language/dialect which is commonly spoken by majority of the household members.
Note that "Visaya" is not a dialect. Inquire if it is Hiligaynon (llonggo), Cebuano, Waray, etc.,
All households
1
Akeanon/Alanon
2
Bikol/Bicol
3
Cebuano
4
Hiligaynon, Ilongo
5
Ibanag
6
Ifugao
7
Ilocano
8
Kankanai/Kankaney
9
Kapampangan
10
Karay-a
11
Manobo/Ata-Manobo
12
Maranao
13
Masbateno/Masbatenon
14
Pangasinan/Panggalato
15
Sama (Samal)/Abaknon
16
Surigaonon
17
Tagalog
18
Tausog
19
Waray
20
Zambageno-Chavacano
21
Abelling
22
Abiyan
23
Aburin
24
Aeta/Ayta
25
Aggay
26
Agta
27
Agutaynon/Agutayanon
28
Alangan
29
Apayao/Yapayao
30
Applai
31
Atta/Ata/Ati
32
Ayangan
33
Badjao, Sama Dilaut
34
Bagobo/Guinga
35
Balangao/Baliwon
36
Bantoanon
37
Banwaon
38
Batak/Binatak
39
Batangan
40
Bilaan/B'laan
41
Binukid/Bukidnon
42
Bisaya/Binisaya
43
Boholano
44
Bolinao
45
Bugkalot
46
Bontok/Binontok
47
Buhid
48
Butuanon
49
Caviteno
50
Caviteno-Chavacano
52
Cotabateno
53
Cotabateno-Chavacano
54
Cuyunon/Cuyunan
55
Dava-Chavacano
56
Davaweno
57
Dibabawon
58
Dumagat/Dumagat(Umiray)
59
Gaddang
61
Hamtikanon
62
Hanunuo
63
Higaonon
64
Ibaloi/Inibaloi
65
Ibontoc
66
Ikalahan/Kalanguya
67
Ilanun/Llanuan
68
Ilongot
69
Iranon
70
Iraya
71
Isamal Kanlaw
73
Isinay
74
Isnag
75
Isneg
76
Itawis
77
Itawit
78
Itneg
79
Ivatan/Itbayat
80
Iwak/I'wa/Owak
83
Jama Mapun
86
Kagayanen
87
Kalagan
88
Kalamianen
89
Kalinga
90
Kamayo
91
Kamigin/Kinamiging
92
Kapul
94
Karao
97
Kasigurahin
98
Kinalinga
99
Kiniray-a
100
Kolibugan/Kalibugan
102
Maguindanao
103
Malaueg
105
Mamanwa
106
Mandaya
107
Mangyan
108
Mansaka
109
Matigsalog
110
Molbog
113
Palawan/Pinalawan/Palawanon
114
Paranan
118
Romblon/Rombloanon
119
Sambal, Zambal
120
Sangil, Sangir
121
Subanen (Sicon,Zambo. Norte)/Subaben (Zambo. Norte and Sur)
124
Tadyawan
125
Tagabawa
127
Tagakaolo
128
Tagbanwa
130
Talaandig
131
T'boli
132
Teduray
133
TernateƱo-Chavacano
135
Tinggian
136
Tiruray
137
Tuwali
138
Ubo
139
Umayamnon
140
Yakan
141
Yogad
142
Other Local Dialects/Ethnicity
143
Chinese
144
American/English
145
Other Foreign Languages/Ethnicity
146
Sama (Sama Bangengeh)
149
Sama Dilaya
152
Capizeno
998
Response suppressed
999
Unknown
This variable indicates the language/dialect generally spoken at home by members of the household.
Other Household Variables -- HOUSEHOLD
IPUMS
Intended province of residence five years from now
Intended province of residence five years from now
Intended province of residence five years from now
Intended province of residence five years from now
Intended province of residence five years from now
H15. Residence five years from now
In what city/municipality does this household intend to reside on May 1, 2005?
_ _ _ _ Province/City/Municipality
0007 Foreign Country
0008 Same City/Municipality
0009 Unknown
If another city/municipality, specify city/municipality and province (Please see code book)
_ _ _ _ Province/City/Municipality
___ City/Municipality
___ Province
H15 Residence five years from now
Ask the question in H17: "In what city/municipality does this household intend to reside on May 1, 2005?" Enter code 0008 in H15 if the household's intends to reside 5 years from now in the same present residence. However, if the household would like to reside 5 years from now in another city/municipality, write the name of the city/municipality and province on the space provided. Codes shall be transcribed later using the Code Book.
Complete names of provinces should be written when provinces like llocos, Negros, Davao and Bicol were provided. Ask the respondents whether, they mean llocos Norte or llocos Sur, Negros Oriental or Occidental, Davao del Sur, Davao del Norte or Davao Oriental and what particular province in the Bicol Region.
For those household who intends to reside 5 years from now in a foreign country, enter code 0007 in the code box.
Filling Up the Housing Questions: An Example
Illustration (8.8) on the next three pages shows an example of the correct way of filling up the housing census questions.
[Illustration 8.8 omitted]
All households
Same city/municipality
1
Abra
2
Agusan Del Norte
3
Agusan Del Sur
4
Aklan
5
Albay
6
Antique
7
Basilan
8
Bataan
9
Batanes
10
Batangas
11
Benguet
12
Bohol
13
Bukidnon
14
Bulacan
15
Cagayan
16
Camarines Norte
17
Camarines Sur
18
Camiguin
19
Capiz
20
Catanduanes
21
Cavite
22
Cebu
23
Davao (Davao Del Norte)
24
Davao Del Sur
25
Davao Oriental
26
Eastern Samar
27
Ifugao
28
Ilocos Norte
29
Ilocos Sur
30
Iloilo
31
Isabela
32
Kalinga
33
La Union
34
Laguna
35
Lanao Del Norte
36
Lanao Del Sur
37
Leyte
38
Maguindanao
39
Manila, Metro First District
40
Marinduque
41
Masbate
42
Misamis Occidental
43
Misamis Oriental
44
Mountain Province
45
Negros Occidental
46
Negros Oriental
47
Cotabato (North Cotabato)
48
Northern Samar
49
Nueva Ecija
50
Nueva Vizcaya
51
Occidental Mindoro
52
Oriental Mindoro
53
Palawan
54
Pampanga
55
Pangasinan
56
Quezon
57
Quirino
58
Rizal
59
Romblon
60
Samar (Western Samar)
61
Siquijor
62
Sorsogon
63
South Cotabato
64
Southern Leyte
65
Sultan Kudarat
66
Sulu
67
Surigao Del Norte
68
Surigao Del Sur
69
Tarlac
70
Tawi-Tawi
71
Zambales
72
Zamboanga Del Norte
73
Zamboanga Del Sur
74
Metro Manila, Second District
75
Metro Manila, Third District
76
Metro Manila, Fourth District
77
Aurora
78
Biliran
79
Guimaras
80
Sarangani
81
Apayao
82
Compostela Valley
90
Foreign country
98
Cotabato and Marawi
99
No response/unknown
This variable indicates the household's intended province of residence five years from now.
Other Household Variables -- HOUSEHOLD
IPUMS
Intended residence five years from now
Intended residence five years from now
Intended residence five years from now
Intended residence five years from now
Intended residence five years from now
H15. Residence five years from now
In what city/municipality does this household intend to reside on May 1, 2005?
_ _ _ _ Province/City/Municipality
0007 Foreign Country
0008 Same City/Municipality
0009 Unknown
If another city/municipality, specify city/municipality and province (Please see code book)
_ _ _ _ Province/City/Municipality
___ City/Municipality
___ Province
H15 Residence five years from now
Ask the question in H17: "In what city/municipality does this household intend to reside on May 1, 2005?" Enter code 0008 in H15 if the household's intends to reside 5 years from now in the same present residence. However, if the household would like to reside 5 years from now in another city/municipality, write the name of the city/municipality and province on the space provided. Codes shall be transcribed later using the Code Book.
Complete names of provinces should be written when provinces like llocos, Negros, Davao and Bicol were provided. Ask the respondents whether, they mean llocos Norte or llocos Sur, Negros Oriental or Occidental, Davao del Sur, Davao del Norte or Davao Oriental and what particular province in the Bicol Region.
For those household who intends to reside 5 years from now in a foreign country, enter code 0007 in the code box.
Filling Up the Housing Questions: An Example
Illustration (8.8) on the next three pages shows an example of the correct way of filling up the housing census questions.
[Illustration 8.8 omitted]
All households
This variable indicates the household's intended municipality of residence five years from now.
Other Household Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
Household weight
All households
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
38
38
39
39
42
42
46
46
67
67
70
70
This variable indicates the household weight.
Technical Household Variables -- HOUSEHOLD
IPUMS
Strata
Strata
Strata
Strata
Strata
Strata
All households
This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Household weight
Household weight
Household weight
Household weight
Household weight
HHWT indicates the number of households in the population represented by the household in the sample.
For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics.
NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
Technical Household Variables -- HOUSEHOLD
IPUMS
Philippines, Region 1990 - 2000 [Level 1; consistent boundaries, GIS]
Philippines, Region 1990 - 2000 [Level 1; consistent boundaries, GIS]
Philippines, Region 1990 - 2000 [Level 1; consistent boundaries, GIS]
Philippines, Region 1990 - 2000 [Level 1; consistent boundaries, GIS]
Philippines, Region 1990 - 2000 [Level 1; consistent boundaries, GIS]
608001
Ilocos
608002
Cagayan Valley
608003
Central Luzon
608004
Southern Tagalog
608005
Bicol
608006
Western Visayas
608007
Central Visayas
608008
Eastern Visayas
608009
Western Mindanao
608011
Northern Mindanao, Southern Mindanao, and Caraga
608012
Central Mindanao and Autonomous Region of Muslim Mindanao
608013
National Capital Region
608014
Cordillera Administrative Region
GEO1_PH identifies the household's region within the Philippines in all sample years. Regions are the first level administrative units of the country. GEO1_PH is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_PH can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for the Philippines can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for the Philippines. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Philippines, Region 1990 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
Philippines, Region 1990 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
Philippines, Region 1990 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
Philippines, Region 1990 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
Philippines, Region 1990 - 2000 [Level 1; inconsistent boundaries, harmonized by name]
1
Ilocos
2
Cagayan Valley
3
Central Luzon
4
Southern Tagalog
5
Bicol
6
Western Visayas
7
Central Visayas
8
Eastern Visayas
9
Western Mindanao
10
Northern Mindanao
11
Southern Mindanao
12
Central Mindanao
13
National Capital Region
14
Cordillera Administrative Region
15
Autonomous Region of Muslim Mindanao
16
Caraga
GEO1_PHX identifies the household's region within the Philippines in all sample years. Regions are the first level administrative units of the country. GEO1_PHX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for the Philippines can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for the Philippines. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Philippines, Province 1990 - 2000 [Level 2; inconsistent boundaries, harmonized by name]
Philippines, Province 1990 - 2000 [Level 2; inconsistent boundaries, harmonized by name]
Philippines, Province 1990 - 2000 [Level 2; inconsistent boundaries, harmonized by name]
Philippines, Province 1990 - 2000 [Level 2; inconsistent boundaries, harmonized by name]
Philippines, Province 1990 - 2000 [Level 2; inconsistent boundaries, harmonized by name]
1
Abra
2
Agusan Del Norte
3
Agusan Del Sur
4
Aklan
5
Albay
6
Antique
7
Basilan
8
Bataan
10
Batangas
11
Benguet
12
Bohol
13
Bukidnon
14
Bulacan
15
Cagayan and Batanes
16
Camarines Norte
17
Camarines Sur
18
Camiguin
19
Capiz
20
Catanduanes
21
Cavite
22
Cebu
23
Davao (Davao Del Norte)
24
Davao Del Sur
25
Davao Oriental
26
Eastern Samar
27
Ifugao
28
Ilocos Norte
29
Ilocos Sur
30
Iloilo
31
Isabela
32
Kalinga
33
La Union
34
Laguna
35
Lanao Del Norte
36
Lanao Del Sur
37
Leyte
38
Maguindanao
39
Manila, Metro First District
40
Marinduque
41
Masbate
42
Misamis Occidental
43
Misamis Oriental
44
Mountain Province
45
Negros Occidental
46
Negros Oriental
47
Cotabato (North Cotabato)
48
Northern Samar
49
Nueva Ecija
50
Nueva Vizcaya
51
Occidental Mindoro
52
Oriental Mindoro
53
Palawan
54
Pampanga
55
Pangasinan
56
Quezon
57
Quirino
58
Rizal
59
Romblon
60
Samar (Western Samar)
61
Siquijor
62
Sorsogon
63
South Cotabato
64
Southern Leyte
65
Sultan Kudarat
66
Sulu
67
Surigao Del Norte
68
Surigao Del Sur
69
Tarlac
70
Tawi-Tawi
71
Zambales
72
Zamboanga Del Norte
73
Zamboanga Del Sur
74
Metro Manila, Second District
75
Metro Manila, Third District
76
Metro Manila, Fourth District
77
Aurora
78
Biliran
79
Guimaras
80
Sarangani
81
Apayao
82
Compostela Valley
83
Cotabato and Marawi
GEO2_PHX indicates the province within the Philippines in all sample years. Provinces are the second level administrative units of the country, after regions. GEO2_PHX is harmonized by name and does not account for boundary changes over time.
The full set of geography variables for the Philippines can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
At the present moment, IPUMS International is only releasing integrated geography for the first level of geography for the Philippines. Year specific geography and maps along with variables that are spatially harmonized at the second level of geography and account for political boundary changes across census years will become available in the near future.
Geography: M-Z Variables -- HOUSEHOLD
IPUMS
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
Number of married couples in household
No married couples in household
1
1 couple
2
2 couples
3
3 couples
4
4 couples
5
5 couples
6
6 couples
7
7 couples
8
8 couples
9
9 or more couples
NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household.
NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
Number of mothers in household
No mothers in household
1
1 mother
2
2 mothers
3
3 mothers
4
4 mothers
5
5 mothers
6
6 mothers
7
7 mothers
8
8 mothers
9
9 or more mothers in household
NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household.
NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
Number of fathers in household
No fathers in household
1
1 father
2
2 fathers
3
3 fathers
4
4 fathers
5
5 fathers
6
6 fathers
7
7 fathers
8
8 fathers
9
9 or more fathers in household
NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household.
NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household).
Constructed Household Variables -- HOUSEHOLD
IPUMS
Country
Country
Country
Country
Country
32
Argentina
40
Austria
50
Bangladesh
51
Armenia
68
Bolivia
76
Brazil
112
Belarus
116
Cambodia
120
Cameroon
124
Canada
152
Chile
156
China
170
Colombia
188
Costa Rica
192
Cuba
214
Dominican Republic
218
Ecuador
222
El Salvador
231
Ethiopia
242
Fiji
250
France
275
Palestine
276
Germany
288
Ghana
300
Greece
324
Guinea
332
Haiti
348
Hungary
356
India
360
Indonesia
364
Iran
368
Iraq
372
Ireland
376
Israel
380
Italy
388
Jamaica
400
Jordan
404
Kenya
417
Kyrgyz Republic
430
Liberia
454
Malawi
458
Malaysia
466
Mali
484
Mexico
496
Mongolia
504
Morocco
508
Mozambique
524
Nepal
528
Netherlands
558
Nicaragua
566
Nigeria
586
Pakistan
591
Panama
600
Paraguay
604
Peru
608
Philippines
620
Portugal
630
Puerto Rico
642
Romania
646
Rwanda
662
Saint Lucia
686
Senegal
694
Sierra Leone
704
Vietnam
705
Slovenia
710
South Africa
724
Spain
728
South Sudan
729
Sudan
756
Switzerland
764
Thailand
792
Turkey
800
Uganda
804
Ukraine
818
Egypt
826
United Kingdom
834
Tanzania
840
United States
854
Burkina Faso
858
Uruguay
862
Venezuela
894
Zambia
COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
Technical Household Variables -- HOUSEHOLD
IPUMS
Electricity
Electricity
Electricity
Electricity
Electricity
NIU (not in universe)
1
Yes
2
No
9
Unknown
ELECTRIC indicates whether the household had access to electricity.
Utilities Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
Ownership of dwelling [general version]
NIU (not in universe)
1
Owned
2
Not owned
9
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
Ownership of dwelling [detailed version]
NIU (not in universe)
100
Owned
110
Owned, already paid
120
Owned, still paying
130
Owned, constructed
140
Owned, inherited
190
Owned, other
191
Owned, house
192
Owned, condominium
193
Apartment proprietor
194
Shared ownership
200
Not owned
210
Renting, not specified
211
Renting, government
212
Renting, local authority
213
Renting, parastatal
214
Renting, private
215
Renting, private company
216
Renting, individual
217
Renting, collective
218
Renting, joint state and individual
219
Renting, public subsidized
220
Renting, private subsidized
221
Renting, co-tenant
222
Renting, relative of tenant
223
Renting, cooperative
224
Renting, with a job or business
225
Renting, loan-backed habitation
226
Renting, mixed contract
227
Furnished dwelling
228
Sharecropping
230
Subletting
231
Rent to own
239
Renting, other
240
Occupied de facto/squatting
250
Free/usufruct (no cash rent)
251
Free, provided by employer
252
Free, without work or services
253
Free, provided by family or friend
254
Free, private
255
Free, public
256
Free, condemned
257
Free, other
290
Not owned, other
999
Unknown
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
Household Economic Variables -- HOUSEHOLD
IPUMS
Cooking fuel
Cooking fuel
Cooking fuel
Cooking fuel
Cooking fuel
NIU (not in universe)
10
None
20
Electricity
30
Petroleum gas, unspecified
31
Gas -- piped/utility
32
Gas -- tanked or bottled
33
Propane
35
Liquefied petroleum gas
40
Petroleum liquid
41
Oil, kerosene, and other liquid fuels
42
Kerosene/paraffin
43
Kerosene or oil
44
Kerosene or gasoline
45
Gasoline
46
Cocinol
50
Wood, coal, and other solid fuels
51
Wood and other plant fuels
52
Non-wood plant materials
53
Coal or charcoal
54
Charcoal
55
Coal
56
Wood or charcoal
60
Multiple fuels
61
Bottled gas and wood
62
Propane and electricity
63
Propane, kerosene, and electricity
64
Propane and kerosene
65
Kerosene and electrictiy
66
Other combinations
70
Other
71
Alcohol
72
Biogas
73
Discarded or waste material
74
Dung/manure
75
Dung or grass
76
Solar energy
77
Candle
99
Unknown/missing
FUELCOOK indicates the predominant type of fuel or energy used for cooking.
Utilities Variables -- HOUSEHOLD
IPUMS
Strata identifier
Strata identifier
Strata identifier
Strata identifier
Strata identifier
This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.
Technical Household Variables -- HOUSEHOLD
IPUMS
Person number
Person number
Person number
Person number
Person number
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
Technical Person Variables -- PERSON
IPUMS
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
Mother's location in household
MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers.
The method by which probable child-mother links are identified is described in PARRULE.
The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Father's location in household
Father's location in household
Father's location in household
Father's location in household
Father's location in household
POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers.
The method by which probable child-father links are identified is described in PARRULE.
The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly.
Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
Spouse's location in household
SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses.
The method by which probable spouse-spouse links are identified is described in SPRULE.
The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
Rule for linking parent
No parent of person in household
11
Link to head or spouse, unambiguous
12
Link to head or spouse, ambiguous
21
Child-Grandchild, within empirical child cap
22
Child-Grandchild, within constructed child cap
23
Child-Grandchild, exceeds child cap
31
Specified Other Relatives, within empirical child cap
32
Specified Other Relatives, within constructed child cap
33
Specified Other Relatives, exceeds child cap
41
Other Relatives, within empirical child cap
42
Other Relatives, within constructed child cap
51
Non-Relatives, within empirical child cap
52
Non-Relatives, within constructed child cap
PARRULE describes the criteria by which the IPUMS-International variables MOMLOC and POPLOC linked the person to a probable mother and/or father.
IPUMS-International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
Rule for linking spouse
No spouse present
1
Rule 1: strong relationship pairing, couple adjacent
2
Rule 2: strong relationship pairing, couple not adjacent
3
Rule 3: weak relationship pairing, couple adjacent
4
Rule 4: weak relationship pairing, couple not adjacent
5
Rule 5: weak consensual union pairings
6
Rule 6: sample-specific rules (usually child-to-child)
SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse.
IPUMS-International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances.
The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Probable stepmother
Biological mother or no mother present
1
Mother has no children borne or surviving
2
Child reports mother is deceased
3
Explicitly identified step relationship
4
Mother reports no children in the home
5
Age difference implausible
6
Child exceeds known fertility of mother
STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household.
The codes for STEPMOM are as follows:
0 = Biological mother or no mother of this person present in household.
1 = Mother has no children borne or surviving.
2 = Child reports mother is deceased.
3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law).
4 = Mother reports no children in the home.
5 = Age difference between mother and child was less than 12 or greater than 54 years.
6 = Child exceeds known fertility of mother.
See PARRULE for a description of the linking process.
Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Probable stepfather
Biological father or no father present
1
Child reports father is deceased
2
Explicitly identified step relationship
3
Age difference implausible
STEPPOP indicates whether a person's father, as identified by POPLOC , was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household.
The codes for STEPPOP are as follows:
0 = Biological father or no father of this person present in household.
1 = Child reports father is deceased.
2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law).
3 = Age difference between father and child was less than 12 or greater than 54 years.
See PARRULE for a description of the linking process.
Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
Man with more than one wife linked
No more than one wife linked via SPLOC
1
More than one wife linked via SPLOC
POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household.
The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Woman is second or higher order wife
Person is not the 2nd or higher order wife linked via SPLOC
1
Person is the 2nd or higher order wife linked via SPLOC
POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated.
The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Family unit membership
Family unit membership
Family unit membership
Family unit membership
Family unit membership
FAMUNIT is a constructed variable indicating to which family within the household a person belongs.
All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
Number of own family members in household
1
1 family member present
2
2 family members present
3
3 family members present
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99 or more persons
FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them.
FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membebership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father).
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
Number of own children in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more children in household
NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
Number of own children under age 5 in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more own children under age 5 in household
NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
Age of eldest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
ELDCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
Age of youngest own child in household
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
YNGCH is top-coded at age 50 or older.
Constructed Family Interrelationship Variables -- PERSON
IPUMS
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
Relationship to household head [general version]
1
Head
2
Spouse/partner
3
Child
4
Other relative
5
Non-relative
6
Other relative or non-relative
9
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
Relationship to household head [detailed version]
1000
Head
2000
Spouse/partner
2100
Spouse
2200
Unmarried partner
2300
Same-sex spouse/partner
3000
Child
3100
Biological child
3200
Adopted child
3300
Stepchild
3400
Child/child-in-law
3500
Child/child-in-law/grandchild
3600
Child of unmarried partner
4000
Other relative
4100
Grandchild
4110
Grandchild or great grandchild
4120
Great grandchild
4130
Great-great grandchild
4200
Parent/parent-in-law
4210
Parent
4211
Stepparent
4220
Parent-in-law
4300
Child-in-law
4301
Daughter-in-law
4302
Spouse/partner of child
4310
Unmarried partner of child
4400
Sibling/sibling-in-law
4410
Sibling
4420
Stepsibling
4430
Sibling-in-law
4431
Sibling of spouse/partner
4432
Spouse/partner of sibling
4500
Grandparent
4510
Great grandparent
4600
Parent/grandparent/ascendant
4700
Aunt/uncle
4800
Other specified relative
4810
Nephew/niece
4820
Cousin
4830
Sibling of sibling-in-law
4900
Other relative, not elsewhere classified
4910
Other relative with same family name
4920
Other relative with different family name
4930
Other relative, not specified (secondary family)
5000
Non-relative
5100
Friend/guest/visitor/partner
5110
Partner/friend
5111
Friend
5112
Partner/roommate
5113
Housemate/roommate
5120
Visitor
5130
Ex-spouse
5140
Godparent
5150
Godchild
5200
Employee
5210
Domestic employee
5220
Relative of employee, n.s.
5221
Spouse of servant
5222
Child of servant
5223
Other relative of servant
5300
Roomer/boarder/lodger/foster child
5310
Boarder
5311
Boarder or guest
5320
Lodger
5330
Foster child
5340
Tutored/foster child
5350
Tutored child
5400
Employee, boarder or guest
5500
Other specified non-relative
5510
Agregado
5520
Temporary resident, guest
5600
Group quarters
5610
Group quarters, non-inmates
5620
Institutional inmates
5900
Non-relative, n.e.c.
6000
Other relative or non-relative
9999
Unknown
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
Demographic Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
Less than 1 year
1
1 year
2
2 years
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
100
100+
999
Not reported/missing
AGE gives age in years as of the person's last birthday prior to or on the day of enumeration.
Demographic Variables -- PERSON
IPUMS
Age, grouped into intervals
Age, grouped into intervals
Age, grouped into intervals
Age, grouped into intervals
Age, grouped into intervals
1
0 to 4
2
5 to 9
3
10 to 14
4
15 to 19
5
15 to 17
6
18 to 19
7
18 to 24
8
20 to 24
9
25 to 29
10
30 to 34
11
35 to 39
12
40 to 44
13
45 to 49
14
50 to 54
15
55 to 59
16
60 to 64
17
65 to 69
18
70 to 74
19
75 to 79
20
80+
98
Unknown
AGE2 gives computed years of age grouped into intervals.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
1
Male
2
Female
9
Unknown
SEX reports the sex (gender) of the respondent.
Demographic Variables -- PERSON
IPUMS
Marital status [general version]
Marital status [general version]
Marital status [general version]
Marital status [general version]
Marital status [general version]
NIU (not in universe)
1
Single/never married
2
Married/in union
3
Separated/divorced/spouse absent
4
Widowed
9
Unknown/missing
[program universe for et,mz samples.
MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.
Demographic Variables -- PERSON
IPUMS
Marital status [detailed version]
Marital status [detailed version]
Marital status [detailed version]
Marital status [detailed version]
Marital status [detailed version]
NIU (not in universe)
100
Single/never married
110
Engaged
111
Never married and never cohabited
200
Married or consensual union
210
Married, formally
211
Married, civil
212
Married, religious
213
Married, civil and religious
214
Married, civil or religious
215
Married, traditional/customary
216
Married, monogamous
217
Married, polygamous
220
Consensual union
300
Separated/divorced/spouse absent
310
Separated or divorced
320
Separated or annulled
330
Separated
331
Separated legally
332
Separated de facto
333
Separated from marriage
334
Separated from consensual union
335
Separated from consensual union or marriage
340
Annulled
350
Divorced
360
Married, spouse absent
400
Widowed
410
Widowed or divorced
411
Widowed from consensual union or marriage
412
Widowed from marriage
413
Widowed from consensual union
420
Widowed, divorced, or separated
999
Unknown/missing
[program universe for et,mz samples.
MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions.
Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples.
Demographic Variables -- PERSON
IPUMS
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
School attendance
School attendance
School attendance
School attendance
School attendance
NIU (not in universe)
1
Yes
2
No, not specified
3
No, attended in the past
4
No, never attended
9
Unknown/missing
SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
Education Variables -- PERSON
IPUMS
Literacy
Literacy
Literacy
Literacy
Literacy
NIU (not in universe)
1
No, illiterate
2
Yes, literate
9
Unknown/missing
LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.
Education Variables -- PERSON
IPUMS
Educational attainment, Philippines
Educational attainment, Philippines
Educational attainment, Philippines
Educational attainment, Philippines
Educational attainment, Philippines
NIU (not in universe)
10
None or preschool
11
None
12
Pre-school
20
Grades 1 to 4
21
Primary, grade 1
22
Primary, grade 2
23
Primary, grade 3
24
Primary, grade 4
30
Grades 5 to 7
31
Primary, grade 5
32
Primary, grade 6
33
Primary, grade 7
40
High school
41
Secondary, grade 1
42
Secondary, grade 2
43
Secondary, grade 3
44
Secondary, grade 4
45
Secondary completed
50
Training or associate degree
51
Training or associate degree, 1 year
52
Training or associate degree, 2 years
53
Training or associate degree completed
60
Undergraduate education
61
University undergraduate, 1 year
62
University undergraduate, 2 years
63
University undergraduate, 3 years
64
University undergraduate, 4 years
65
University undergraduate, 5 years
66
University undergraduate, 6+ years
67
University undergraduate, years unknown
69
University graduate
70
Post-graduate
99
Unknown
EDUCPH indicates the person's educational attainment in terms of the level of schooling completed and number of years within level.
Education Variables -- PERSON
IPUMS
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
Occupation, ISCO general
1
Legislators, senior officials and managers
2
Professionals
3
Technicians and associate professionals
4
Clerks
5
Service workers and shop and market sales
6
Skilled agricultural and fishery workers
7
Crafts and related trades workers
8
Plant and machine operators and assemblers
9
Elementary occupations
10
Armed forces
11
Other occupations, unspecified or n.e.c.
97
Response suppressed
98
Unknown
99
NIU (not in universe)
OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.
Work Variables -- PERSON
IPUMS
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
Occupation, unrecoded
OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census.
To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses.
Work Variables -- PERSON
IPUMS
Industry, general recode
Industry, general recode
Industry, general recode
Industry, general recode
Industry, general recode
NIU (not in universe)
10
Agriculture, fishing, and forestry
20
Mining
30
Manufacturing
40
Electricity, gas and water
50
Construction
60
Wholesale and retail trade
70
Hotels and restaurants
80
Transportation and communications
90
Financial services and insurance
100
Public administration and defense
110
Services, not specified
111
Real estate and business services
112
Education
113
Health and social work
114
Other services
120
Private household services
130
Other industry, n.e.c.
998
Response suppressed
999
Unknown
INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples.
"Industry" refers to the activity or product of the establishment or sector in which a person worked.
Work Variables -- PERSON
IPUMS
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
Industry, unrecoded
"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.
Work Variables -- PERSON
IPUMS
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
Status in employment (class of worker) [general version]
NIU (not in universe)
1
Self-employed
2
Wage/salary worker
3
Unpaid worker
4
Other
9
Unknown/missing
CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
Status in employment (class of worker) [detailed version]
NIU (not in universe)
100
Self-employed
101
Self-employed, unincorporated
102
Self-employed, incorporated
110
Employer
111
Sharecropper, employer
120
Working on own account
121
Own account, agriculture
122
Domestic worker, self-employed
123
Subsistence worker, own consumption
124
Own account, other
125
Own account, without temporary/unpaid help
126
Own account, with temporary/unpaid help
130
Member of cooperative
140
Sharecropper
141
Sharecropper, self-employed
142
Sharecropper, employee
150
Kibbutz member
200
Wage/salary worker
201
Management
202
Non-management
203
White collar (non-manual)
204
Blue collar (manual)
205
White and blue collar
206
Day laborer
207
Employee, with a permanent job
208
Employee, occasional, temporary, contract
209
Employee without legal contract
210
Wage/salary worker, private employer
211
Apprentice
212
Religious worker
213
Wage/salary worker, non-profit, NGO
214
White collar, private
215
Blue collar, private
216
Paid family worker
217
Cooperative employee
220
Wage/salary worker, government
221
Federal, government employee
222
State government employee
223
Local government employee
224
White collar, public
225
Blue collar, public
226
Public companies
227
Civil servants, local collectives
230
Domestic worker (work for private household)
240
Seasonal migrant
241
Seasonal migrant, no broker
242
Seasonal migrant, uses broker
250
Other wage and salary
251
Canal zone/commission employee
252
Government employment/training program
253
Mixed state/private enterprise/parastatal
254
Government public work program
300
Unpaid worker
310
Unpaid family worker
320
Apprentice, unpaid or unspecified
330
Trainee
340
Apprentice or trainee
350
Works for others without wage
400
Other
999
Unknown/missing
CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples.
Class of worker is often referred to as "status in employment" in other sources.
Work Variables -- PERSON
IPUMS
Sector of employment
Sector of employment
Sector of employment
Sector of employment
Sector of employment
NIU (not in universe)
10
Public
20
Private
21
Private, not elsewhere classified
22
Individual/family enterprise, and self-employed
23
Foreign
30
Mixed: public-private or parastatal
40
Collective or cooperative
50
Foreign government or non-governmental organization
60
Other, unspecified
61
Canal zone
62
Faith-based organization
99
Unknown
EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked.
Work Variables -- PERSON
IPUMS
Overseas worker, Philippines
Overseas worker, Philippines
Overseas worker, Philippines
Overseas worker, Philippines
Overseas worker, Philippines
NIU (not in universe)
1
Yes
2
No
OVERSEA indicates if the household member was working overseas at the time of the census.
Work Variables -- PERSON
IPUMS
Province of residence 5 years ago, Philippines
Province of residence 5 years ago, Philippines
Province of residence 5 years ago, Philippines
Province of residence 5 years ago, Philippines
Province of residence 5 years ago, Philippines
1
Abra
2
Agusan Del Norte
3
Agusan Del Sur
4
Aklan
5
Albay
6
Antique
7
Basilan
8
Bataan
9
Batanes
10
Batangas
11
Benguet
12
Bohol
13
Bukidnon
14
Bulacan
15
Cagayan
16
Camarines Norte
17
Camarines Sur
18
Camiguin
19
Capiz
20
Catanduanes
21
Cavite
22
Cebu
23
Davao (Davao Del Norte)
24
Davao Del Sur
25
Davao Oriental
26
Eastern Samar
27
Ifugao
28
Ilocos Norte
29
Ilocos Sur
30
Iloilo
31
Isabela
32
Kalinga
33
La Union
34
Laguna
35
Lanao Del Norte
36
Lanao Del Sur
37
Leyte
38
Maguindanao
39
Manila, Metro First District
40
Marinduque
41
Masbate
42
Misamis Occidental
43
Misamis Oriental
44
Mountain Province
45
Negros Occidental
46
Negros Oriental
47
Cotabato (North Cotabato)
48
Northern Samar
49
Nueva Ecija
50
Nueva Vizcaya
51
Occidental Mindoro
52
Oriental Mindoro
53
Palawan
54
Pampanga
55
Pangasinan
56
Quezon
57
Quirino
58
Rizal
59
Romblon
60
Samar (Western Samar)
61
Siquijor
62
Sorsogon
63
South Cotabato
64
Southern Leyte
65
Sultan Kudarat
66
Sulu
67
Surigao Del Norte
68
Surigao Del Sur
69
Tarlac
70
Tawi-Tawi
71
Zambales
72
Zamboanga Del Norte
73
Zamboanga Del Sur
74
Metro Manila, Second District
75
Metro Manila, Third District
76
Metro Manila, Fourth District
77
Aurora
78
Biliran
79
Guimaras
80
Sarangani
81
Apayao
82
Compostela Valley
83
Cotabato and Marawi
97
Foreign country
98
Unknown
99
NIU (not in universe)
MIGPH2 indicates the person's province of residence five year ago within the Philippines.
Migration Variables -- PERSON
IPUMS
Province of residence 10 years ago, Philippines
Province of residence 10 years ago, Philippines
Province of residence 10 years ago, Philippines
Province of residence 10 years ago, Philippines
Province of residence 10 years ago, Philippines
1
Abra
2
Agusan Del Norte
3
Agusan Del Sur
4
Aklan
5
Albay
6
Antique
7
Basilan
8
Bataan
9
Batanes
10
Batangas
11
Benguet
12
Bohol
13
Bukidnon
14
Bulacan
15
Cagayan
16
Camarines Norte
17
Camarines Sur
18
Camiguin
19
Capiz
20
Catanduanes
21
Cavite
22
Cebu
23
Davao (Davao Del Norte)
24
Davao Del Sur
25
Davao Oriental
26
Eastern Samar
27
Ifugao
28
Ilocos Norte
29
Ilocos Sur
30
Iloilo
31
Isabela
32
Kalinga
33
La Union
34
Laguna
35
Lanao Del Norte
36
Lanao Del Sur
37
Leyte
38
Maguindanao
39
Manila, Metro First District
40
Marinduque
41
Masbate
42
Misamis Occidental
43
Misamis Oriental
44
Mountain Province
45
Negros Occidental
46
Negros Oriental
47
Cotabato (North Cotabato)
48
Northern Samar
49
Nueva Ecija
50
Nueva Vizcaya
51
Occidental Mindoro
52
Oriental Mindoro
53
Palawan
54
Pampanga
55
Pangasinan
56
Quezon
57
Quirino
58
Rizal
59
Romblon
60
Samar (Western Samar)
61
Siquijor
62
Sorsogon
63
South Cotabato
64
Southern Leyte
65
Sultan Kudarat
66
Sulu
67
Surigao Del Norte
68
Surigao Del Sur
69
Tarlac
70
Tawi-Tawi
71
Zambales
72
Zamboanga Del Norte
73
Zamboanga Del Sur
74
Metro Manila, Second District
75
Metro Manila, Third District
76
Metro Manila, Fourth District
77
Aurora
78
Biliran
79
Guimaras
80
Sarangani
81
Apayao
82
Compostela Valley
83
Cotabato and Marawi
97
Foreign country
98
Unknown
99
NIU (not in universe)
MIGPH3 indicates the person's province of residence 10 year ago within the Philippines.
Migration Variables -- PERSON
IPUMS
Blind or vision-impaired
Blind or vision-impaired
Blind or vision-impaired
Blind or vision-impaired
Blind or vision-impaired
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISBLND indicates whether the person was blind or had limited vision.
Disability Variables -- PERSON
IPUMS
Deaf or hearing-impaired
Deaf or hearing-impaired
Deaf or hearing-impaired
Deaf or hearing-impaired
Deaf or hearing-impaired
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISDEAF indicates whether the person was deaf or had limited hearing.
Disability Variables -- PERSON
IPUMS
Mute or speech impaired
Mute or speech impaired
Mute or speech impaired
Mute or speech impaired
Mute or speech impaired
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISMUTE indicates if the person could not speak or had a significant speech impediment.
Disability Variables -- PERSON
IPUMS
Disability affecting lower extremities
Disability affecting lower extremities
Disability affecting lower extremities
Disability affecting lower extremities
Disability affecting lower extremities
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISLOWR indicates whether the person lacked use of one or both legs.
Disability Variables -- PERSON
IPUMS
Disability affecting upper extremities
Disability affecting upper extremities
Disability affecting upper extremities
Disability affecting upper extremities
Disability affecting upper extremities
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISUPPR indicates whether the person lacked full use of at least one arm or hand.
Disability Variables -- PERSON
IPUMS
Mental disability
Mental disability
Mental disability
Mental disability
Mental disability
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity.
Disability Variables -- PERSON
IPUMS
Psychological disability
Psychological disability
Psychological disability
Psychological disability
Psychological disability
NIU (not in universe)
1
Yes
2
No
9
Unknown
DISPSYC indicates whether the person was disabled due to mental illness.
Disability Variables -- PERSON
IPUMS
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
Occupation, ISCO-1988, 3-digit
10
Armed forces
111
Legislators
112
Senior government officials
113
Traditional chiefs and heads of villages
114
Senior officials of special-interest organizations
121
Directors and chief executives
122
Production and operations department managers
123
Other department managers
131
General managers
199
Legislators, senior officials and managers not elsewhere classified
211
Physicists, chemists and related professionals
212
Mathematicians, statisticians and related professionals
213
Computing professionals
214
Architects, engineers and related professionals
221
Life science professionals
222
Health professionals (except nursing)
223
Nursing and midwifery professionals
231
College, university and higher education teaching professionals
232
Secondary education teaching professionals
233
Primary and pre-primary education teaching professionals
234
Special education teaching professionals
235
Other teaching professionals
241
Business professionals
242
Legal professionals
243
Archivists, librarians and related information professionals
244
Social science and related professionals
245
Writers and creative or performing artists
246
Religious professionals
299
Professionals no elsewhere classified
311
Physical and engineering science technicians
312
Computer associate professionals
313
Optical and electronic equipment operators
314
Ship and aircraft controllers and technicians
315
Safety and quality inspectors
321
Life science technicians and related associate professionals
322
Modern health associate professionals (except nursing)
323
Nursing and midwifery associate professionals
324
Traditional medicine practitioners and faith healers
331
Primary education teaching associate professionals
332
Pre-primary education teaching associate professionals
333
Special education teaching associate professionals
334
Other teaching associate professionals
341
Finance and sales associate professionals
342
Business services agents and trade brokers
343
Administrative associate professionals
344
Customs, tax and related government associate professionals
345
Police inspectors and detectives
346
Social work associate professionals
347
Artistic, entertainment and sports associate professionals
348
Religious associate professionals
399
Technicians and assoicate professionals not elsewhere classified
411
Secretaries and keyboard-operating clerks
412
Numerical clerks
413
Material-recording and transport clerks
414
Library, mail and related clerks
419
Other office clerks
421
Cashiers, tellers and related clerks
422
Client information clerks
499
Clerks not elsewhere classified
511
Travel attendants and related workers
512
Housekeeping and restaurant services workers
513
Personal care and related workers
514
Other personal services workers
515
Astrologers, fortune-tellers and related workers
516
Protective services workers
521
Fashion and other models
522
Shop salespersons and demonstrators
523
Stall and market salespersons
599
Service workers and shop and market sales workers not elsewhere classified
611
Market gardeners and crop growers
612
Market-oriented animal producers and related workers
613
Market-oriented crop and animal producers
614
Forestry and related workers
615
Fishery workers, hunters and trappers
621
Subsistence agricultural and fishery workers
699
Skilled agricultural and fishery workers not elsewhere classified
711
Miners, shotfirers, stone cutters and carvers
712
Building frame and related trades workers
713
Building finishers and related trades workers
714
Painters, building structure cleaners and related trades workers
721
Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers
722
Blacksmiths, tool-makers and related trades workers
723
Machinery mechanics and fitters
724
Electrical and electronic equipment mechanics and fitters
731
Precision workers in metal and related materials
732
Potters, glass-makers and related trades workers
733
Handicraft workers in wood, textile, leather and related materials
734
Printing and related trades workers
741
Food processing and related trades workers
742
Wood treaters, cabinet-makers and related trades workers
743
Textile, garment and related trades workers
744
Pelt, leather and shoemaking trades workers
799
Craft and related trade workers not elsewhere classified
811
Mining- and mineral-processing-plant operators
812
Metal-processing-plant operators
813
Glass, ceramics and related plant operators
814
Wood-processing- and papermaking-plant operators
815
Chemical-processing-plant operators
816
Power-production and related plant operators
817
Automated-assembly-line and industrial-robot operators
821
Metal- and mineral-products machine operators
822
Chemical-products machine operators
823
Rubber- and plastic-products machine operators
824
Wood-products machine operators
825
Printing-, binding- and paper-products machine operators
826
Textile-, fur- and leather-products machine operators
827
Food and related products machine operators
828
Assemblers
829
Other machine operators and assemblers
831
Locomotive-engine drivers and related workers
832
Motor-vehicle drivers
833
Agricultural and other mobile-plant operators
834
Ships' deck crews and related workers
899
Other
911
Street vendors and related workers
912
Shoe cleaning and other street services elementary occupations
913
Domestic and related helpers, cleaners and launderers
914
Building caretakers, window and related cleaners
915
Messengers, porters, doorkeepers and related workers
916
Garbage collectors and related labourers
921
Agricultural, fishery and related labourers
931
Mining and construction labourers
932
Manufacturing labourers
933
Transport labourers and freight handlers
989
Elementary occupations not elsewhere classified
990
Other workers, not elsewhere classified
998
Unknown
999
NIU (not in universe)
ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification.
Work Variables -- PERSON
IPUMS
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
Line number, original
Line number, original
Line number, original
Line number, original
Line number, original
Line number, original
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+
This variable indicates the line number.
Technical Person Variables -- PERSON
IPUMS
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
Relationship to household head
P2. What is [respondent]'s relationship to the head of the household?
(Please see code book)
All persons
1
Head
2
Spouse
3
Son
4
Daughter
5
Stepson
6
Stepdaughter
7
Son-in-law
8
Daughter-in-law
9
Grandson
10
Granddaughter
11
Father
12
Mother
13
Brother
14
Sister
15
Uncle
16
Aunt
17
Nephew
18
Niece
19
Other relative
20
Non-relative
21
Boarder
22
Domestic helper
This variable indicates the person's relationship to the household head.
Demographic Variables -- PERSON
IPUMS
Birth registered with Local Civil Register
Birth registered with Local Civil Register
Birth registered with Local Civil Register
Birth registered with Local Civil Register
Birth registered with Local Civil Register
P5. Was [respondent]'s birth registered with the LCR?
[] Yes
[] No
P5 Birth registration with Local Civil Registrar (LCR)
Provisions of civil code and other laws in the country are concerned with the legal or civil rights of an individual. Civil rights could be granted only by the government and proof of one's claim to such rights is dependent on official registration, the legal purpose for which civil registration was designed. The birth of a person is one of the vital events for official registration. The recording of the occurrence of birth in the birth register is called birth registration. And the proof of such registration is the birth certificate with an LCR number.
After recording the date of birth of a person, ask the respondent "Was __________'s birth registered with the LCR?" Draw an "x" mark on the appropriate circle. When the birth of a member of the household is unknown to the respondent, verify from the member himself. If after probing the birth registration is still unknown, draw an "x" mark on the circle provided for the answer of don't know.
All persons
1
Yes
2
No
3
Respondent did not know
9
Unknown
This variable indicates whether the person's birth was registered with the LCR (local civil registrar).
Other Person Variables -- PERSON
IPUMS
Age
Age
Age
Age
Age
P6. What is [respondent]'s age as of his/her last birthday?
_ _
P6 Age as of last birthday
Age, sex and marital status are essential for inclusion in a census for the purposes of analyzing factors of population changes and preparing population estimates and forecasts. Information on these topics is also needed for actuarial analysis of probability of survival and other related life-table functions.
For purposes of the census, age as of last birthday refers to the interval of time between the date of birth and before May 1, 2000, expressed in completed year. Thus, ages are recorded as whole numbers, counting the whole years completed on or prior to May 1, 2000.
Determine the age of each household member by asking the respondent "What is ______'s age as of his/her last birthday?" Always ask the age of the person even if the date of birth is already given. Do not compute for the person's age from the reported date of birth. Enter the age on the space provided.
Here are some basic guidelines for your reference:
1. If during your visit, a member of the household has just celebrated his last birthday on or after May 1, 2000, then you have to report his/her age in his previous birthday. For example, a person has just celebrated his 24th birthday on May 2, 2000, the age to be reported for this person should be 23 and not 24.
2. Enter the age of every person one-year-old and over in completed years.
However, for persons less than 1 year old, enter 00. Entries on age should consist of two digits. For ages 1 to 9, prefix zero (0). For example, 02, 07, etc.
3. For persons born before 1900 (aged 100 and over), code the age as follows:
[Table is omitted]
4. Note that the examples are expressed in whole years. Do not record ages such as 7 1/2, 5 years and 2 mos., etc. Record the age according to the last birthday prior to May 1, 2000.
5. Check for inconsistencies in the ages of husband, wife and children. The respondent may have given incorrect information for one reason or another. Probe and verify further, as needed. An example is when the mother is only 15 years older than the eldest child.
6. If the exact age is not known, ask for an estimate. It may also help to ask an aged person to recall some well-known local, national or world event in the past by which his age may be associated, or if he is older or younger than some prominent persons. If all possible means have been exhausted and the respondent is unable to give the correct information, enter his best estimate.
7. There must be a report of age in P6 for every household member.
Age as of Last Birthday Conversion Table (see code book) will help you check the reported age of a person against his date of birth. Refer to this table when checking your entries on age for consistency.
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 age, in years, of the person.
Demographic Variables -- PERSON
IPUMS
Sex
Sex
Sex
Sex
Sex
P7. Is [respondent] male or female?
[] Male
[] Female
P7 Sex
Gender-disaggregated data is of prime importance in demographic and socio-economic studies. Separate data for males and females are important for the analysis of other types of data, and for the evaluation of the completeness and accuracy of the census counts of population.
Determine the sex of each household member by asking the question "Is male or female?"
The sex of each household member can be determined by his/her name or relationship to the head, but in some cases there is a need to ask the respondent whether the person is male or female. Some names such as Charlie, Florence, Neneng, Alex, Chito, Cielito, Christy, Loreto, Trinidad, Dakila, Resurreccion, Rosario, Joey, Regine, Gene (Jean), etc., could be those of male or female persons.
Draw an "x" mark on the circle before MALE, if the member is a male. Otherwise, draw an "x" mark on the circle before FEMALE.
All persons
1
Male
2
Female
This variable indicates the gender of the person.
Demographic Variables -- PERSON
IPUMS
Overseas worker
Overseas worker
Overseas worker
Overseas worker
Overseas worker
P8. Is [respondent] an overseas worker?
(For persons below 10 years old, mark No)
[] Yes
[] No
P8 Overseas workers
For persons below 10 years old, draw an "x" mark on the circle before NO without asking the question.
For persons 10 years old and over ask P8: "Is _____ an overseas worker?" If the member is an overseas worker, draw an "x" mark on the circle before YES in P8. Otherwise, draw an "x" mark on the circle before NO.
All persons
1
Overseas worker
2
Not overseas worker
This variable indicates whether the person is an overseas worker or not.
Migration Variables -- PERSON
IPUMS
Marital status
Marital status
Marital status
Marital status
Marital status
P9. What is [respondent]'s marital status?
(Please cross out one of the selections)
(For persons below 10 years old, cross out single)
[] Single
[] Legally Married
[] Widowed
[] Divorced/Separated
[] Common Law/Live-in
[] Unknown
P9 Marital status
Marital status refers to the personal status of each individual in reference to the marriage laws or customs of the country. It is the same as "civil status", the term usually used in official and private records, documents, transactions, etc., in the country. In Census 2000, the person's marital status shall be as of the date of visit.
For persons below 10 years old, draw an "x" mark on the circle before Single without asking the question. For persons 10 years old and over ask:
"What is ______'s marital status?" Cross out the circle before the appropriate marital status reported by the respondent as defined in the next page.
1. Single
A person who has never been married.
2. Legally Married
A person married in a religious or civil ceremony, either living together with spouse at the time of visit, or temporarily living apart because his spouse is employed elsewhere or is in the Armed Forces, etc.
3. Widowed
A married person whose spouse died and who has not remarried up to the time of visit.
4. Divorced/Separated
A person who is permanently separated from his spouse, legally or through mutual consent. Also for a person whose marriage with another has been annulled or dissolved and can therefore remarry.
5. Common-law/
Live in person cohabiting or living consensually with another as husband and wife without the benefit of a legal marriage.
6. Unknown
Person whose marital status is not known to the respondent, or whose marital status is being concealed by the respondent.
A Word of Caution: Some respondents may find this question too personal or a sensitive issue. Avoid antagonizing the respondent. Do not refute the reported marital status of any person. Disregard any knowledge you may have about the person and record only whatever is reported by the respondent.
All persons
1
Single
2
Legally married
3
Widowed
4
Divorced/separated
5
Common-law/live-in
6
Respondent did not know
9
Unknown
This variable indicates the marital status of the person.
Demographic Variables -- PERSON
IPUMS
Religion
Religion
Religion
Religion
Religion
P10. What is [respondent]'s religious affiliation?
(Please see code book)
_ _
P10 Religious Affiliation
Religious affiliation refers to a particular system of beliefs, attitudes, emotions and behaviors constituting man's relationship with the powers and principalities of the universe. Data on this are required for the planning of religion-related and religion-sponsored activities. They may also be used for an examination of ethnic characteristics of the population.
Enter the code for the religious affiliation of each person as reported by the respondent. Use the Code Book as reference.
If the reported religious affiliation is not among the pre-coded answers provided in the questionnaire, write code 99.
An infant who is not yet baptized must carry the religious affiliation of his mother.
Take note that the "Protestant" religion has different denominations, and so with "other" religions. In case you are in doubt on how to classify a certain religious sect, write the specific religion on the space provided.
There are Roman Catholics, Protestants, etc. who joined some charismatic movements or fellowships and now claim themselves as "born again" Christians or charismatics. In this case, verify where they are attending religious services.
Indigenous peoples (IP) who practice the traditional religion or belief system may not belong to any church, unless they have been converted to one. If the member of the household, who is an IP, is baptized in any of the formal religions, the mentioned formal religious affiliation will be coded. However, if the IP respondent mentioned that the member of the household has faith in Kabunian, Apo na Mallari, Magbabaya, and so on, which refer to supreme deities in their language, the religious affiliation shall be coded as 92 for Traditional Religion. Tribal Religion is characterized by the observance of indigenous rituals venerating the dead ancestors and invoking divine intercession for good things in life.
Before proceeding with the last five items on CPH Form 2, look at the following example on how to complete P1 to P10.
Filling-Up Questions P1 to P10 of CPH Form 2: An Example
Illustration 7.1 shows the household of Ismael Santiago aged 49 who lives with wife, Rodora who is 47 yrs. old, daughters Marissa, 22 yrs. old, and Karmela, 30 yrs. old and her husband Jose Reyes who is 31 yrs. old. Karmela and Jose have two children, Carlito, who is 7 yrs. old, and Ana, who is only 1 year old. Their religion is Roman Catholic. Another member of this household is a helper Alma Cruz, an Iglesia ni Kristo, who is 25 yrs. old and single. All the members of the household have been registered with the LCR.
The household members were born on the following dates:
[Example omitted]
All persons
1
Aglipay
2
Buddhist
3
Church of Jesus Christ of the Latter Day Saints
4
Iglesia ni Cristo
5
Islam
6
Jehovah's Witness
7
Philippine Benevolent
8
Roman Catholic (includes Catholic Charismatic)
9
Seventh Day Adventist
11
Convention of the Philippine Baptist Church
12
Iglesia Evangelista Methodista en Las Filipinas
13
Lutheran Church in the Philippines
14
Philippine Episcopal Church
15
Salvation Army
16
United Church of Christ
17
United Methodist Church
19
Other Methodists
21
Association of Baptist Churches
22
Association of Fundamental Baptist Church
23
Baptist Conference
24
Bible Baptist Church
25
Southern Baptist Church
29
Other Baptists
31
Alliance of Bible Christian Communities
32
Assemblies of God
33
Bread of Life Ministries
34
Charismatic Full Gospel Ministries
35
Christian and Missionary Alliance Church
36
Christians Missions
37
Christ the Living Stone Fellowship
38
Church of Christ
39
Church of God World Mission
40
Church of the Nazarene
41
Conservative Baptist Association
42
Door of Faith
43
Evangelical Christian Outreach Foundation
44
Evangelical Free Church
45
Evangelical Presbyterian Church
46
Faith Tabernacle Church (Living Rock Ministries)
47
Filipino Assemblies of the First Born Inc.
48
Foursquare Gospel Church
49
Free Believers in Christ Fellowship
50
Free Methodist Church
51
Free Mission in the Philippines Inc.
52
General Baptist Churches
53
Good News Christian Churches
54
Higher round Baptist Mission
55
IEMELIF Reform Movement
56
Independent Baptist Churches of the Philippines
57
International Baptist Missionary Fellowship
58
International One Way Outreach
59
Jesus Christ Saves Global Outreach
60
Jesus is Lord Church
61
Jesus Reigns Ministries
62
Love of Christ International Ministries
63
Miracle Life Fellowship International
64
Miracle Revival Church of the Philippines
65
Missionary Baptist Churches of the Philippines
66
Pentecostal Church of God Asia Mission
67
Philippine Evangelical Mission
68
Philippine Good News Ministries
69
Philippine Grace Gospel Fellowship
70
Philippine Missionary fellowship
71
Philippine Pentecostal Holiness Church
72
Potter's House Christian Center
73
Presbyterian Church in the Philippines
74
Take the Nation for Jesus Global Ministries (Corpus Christi)
75
The Wesleyan Church
76
Things to Come
77
UNIDA Evangelical Church
78
United Evangelical Church of the Philippines (Chinese)
79
Universal Pentecostal Church
80
Victory Chapel Christian Fellowship
81
Way of Salvation
82
Word of the World
83
World Missionary Evangelism
84
Worldwide Church of God
85
Zion Christian Community Church
89
Other Evangelical Church
91
Other Protestants
92
Tribal Religions
93
Others
94
None
99
Unknown
This variable indicates the religious affiliation of the person.
Ethnicity and Language Variables -- PERSON
IPUMS
Country of birth
Country of birth
Country of birth
Country of birth
Country of birth
Country of birth
P11 and P12 Citizenship
Citizenship is defined as the legal nationality of a person. A citizen is a legal national of the country at the time of census, while an alien is a non-national of the country. The collection of data on citizenship permits the classification of the population into (a) citizens and (b) aliens.
Data on citizenship are valuable in the study of problems relating to the legal status and civil rights of immigrants.
A person's citizenship depends on the country to which he owes legal allegiance or where he exercises the right of suffrage.
Ask the question in P11: "Is ________ a citizen of the Philippines" for all persons. This question determines who among the members of the household are citizens of the Philippines and who are not. If the household member is a citizen of the Philippines, cross out circle for the category Yes and skip to P13. However, if the household member is not a citizen of the Philippines, mark the circle before NO in P11 and ask the question in P12: "What country is _______ a citizen of".
Enter the appropriate code for the country of citizenship of household members who are not Filipinos. The codes are listed in the Code Book.
For persons with dual citizenship, both aliens, inquire which one should be reported and enter the code for the preferred country of citizenship. However, for those with dual citizenship, Filipino and an alien citizenship, cross out the circle for Yes in P11.
For persons whose citizenship is other than those provided with codes at the bottom of the questionnaire, write on the space provided the name of the country to where they owe legal allegiance to.
If the person being interviewed hesitates to answer this question, remind him that the information will be held strictly confidential and no reference to individual persons will be made.
All persons
1
China, People's Republic of (including Hongkong)
2
United States of America
3
Indonesia (includes West Irian)
4
India
5
Japan
6
Iran, Islamic Republic of
7
Australia
8
United Kingdom
9
Afghanistan
10
Albania
11
Algeria
12
Angola
13
Antigua
14
Argentina
15
Aruba
16
Austria
17
Bahrain
18
Bangladesh
19
Belgium
20
Bolivia
21
Brazil
22
Brunei Darussalam
23
Bulgaria
24
Burma, Socialist Republic of the Union of
25
Canada
30
Cuba
31
Czechoslovakia
32
Denmark
33
Dominican Republic
34
Egypt Arab Republic
35
El Salvador
36
Finland
37
Fiji
38
France
39
Germany, Federal Republic of
41
Greece
42
Guam
43
Guatemala
47
Ireland
49
Israel
50
Italy
52
Kenya
53
Korea, Republic of
54
Kuwait
56
Liberia
58
Malaya, Federation of (Comprise Malaysia)
61
Monaco
62
Morocco
63
Nepal
64
Netherlands
66
Nigeria
67
Norway
68
Pakistan, Islamic Republic
69
Palau, Republic of
71
Papua New Guinea
72
Paraguay
73
Peru
74
Poland
75
Portugal
76
Portuguese Timor and Dependencies
78
Romania
79
Russia
80
Saudi Arabia
81
Singapore
82
Spain
86
Switzerland
88
Taiwan (Republic of China)
89
Thailand
90
Trust Territory of Pacific Islands (excludes Marshall Island and Palau Republic of)
91
Tunisia
92
Uruguay
94
Vietnam
97
Zimbabwe (Rhodesia)
98
Undocumented
99
Others
100
Philippines
998
Response suppressed
999
Unknown
This variable indicates the country of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
Disabled
Disabled
Disabled
Disabled
Disabled
P13. Does [respondent] have any physical or mental disability? (If no skip to P15)
[] Yes
[] No
P14. What type of disability does [respondent] have?
(Please see code book)
_ _
P13 and P14 Disability
Disability refers to any restriction or lack of ability (resulting from an impairment) to perform an activity in the manner or within the range considered normal for a human being. Impairments associated with disabilities may be physical, mental, or sensory motor impairment such as partial or total blindness and deafness, muteness, speech defect, orthopedic handicaps, and mental retardation. Data on disability will enable planners to prepare plans for rehabilitation, education development and preventive programs.
To identify household members who may have disabilities. A "screening" question is asked in column P13. For each household member, ask the respondent "Does _____ have any physical or mental disability?" If the answer is Yes, draw an "x" mark on the circle before YES in
P13 and ask the question in P14: "What type of disability does ____have?" If the answer in P13 is NO, draw an "x" mark on the circle before NO in P13 and skip to P15.
The specific types of disabilities and their respective codes are listed in the Code Book. Be sure to use this Code Book as your guide in probing for information and for coding the responses in column P14. If the answer of the respondent is other than the types of disability listed, write in the space provided the answer of the respondent. The descriptions of the disabilities are given below:
Code 01
No useful sight in any of the two eyes. (Cannot distinguish objects in front of him). Persons may have some light perception (e.g., can realize that it is midday or midnight), but do not have usable sight. They need Braille materials for reading.
Short name: Tot-Blind
Code 02
With better eyesight than totally blind: can distinguish objects in front of him. However, even with eyeglasses cannot distinguish large letters. Practically, this person can walk without hitting his head against the wall, but cannot read anything. Included here as persons with severely limiting vision situations: central only or the sides only or only like a pie of a cake. Persons who can see some objects so that they can walk better and do some activities, but they cannot read printed text even with eyeglasses. They need Braille materials for reading.
Short name: Part-Blind
Code 03
With the better eye, even with eyeglasses, cannot distinguish regular size letters. Practically, can only read the bigger headlines in the newspapers. Included here are persons with limiting vision situations: central only or the sides only or only like a pie of a cake. Persons who, even with appropriate eyeglasses, need large print text (i.e., at least 18 points font) to read at a distance of one foot (30 cm.)
Short name: Low vision
Code 04
Cannot realize any regular sound. Practically the person does not react when somebody claps his hands behind his back. Person may still hear the blowing of a horn of a truck, or the beat of a drum, cannot understand words even with a hearing aid. Mute: There are almost no mute people. The normal case is the so-called "deaf-mute" which is for people who, because of deafness, did not learn to talk but they have all what is physically necessary to talk. Treat them as deaf.
Short name: Tot-Deaf
Code 05
Can hear speech but cannot discriminate the words. [Refers to a person whose both ears can recognize sounds but cannot determine the words (partially deaf).]
Short name: Part- Deaf
Code 06
Person can understand words only if spoken very loud or close to the ear and (normally) has severe difficulties if there are other noises (e.g.,) of other people speaking in the room. Person can be helped with a hearing aid but still has difficulties understanding normal speech.
Short name: Hard-Hear
Code 07
Person at least 15 years old, is object of ridicule or has severely limited job opportunities because of either: - a general stammering problem which makes normal speech extremely difficult - or a cleft-palate or hare-lip that cannot be solved by current medical procedures.
Short name: Oral defect
Code 08
Person has only one useful hand. One arm is not usable (e.g., amputated, deformed or paralyzed arm). Included here are two artificial arms if they are rather useful (i.e., both arms are missing but are replaced with artificial arm).
Short name: One hand
Code 09
Person has no useful hands. Both arms are not usable (e.g., amputated, deformed and missing).
Short name: No hands
Code 10
Person has only one useful leg: walks with crutches and/or artificial leg and/or braces. Note (1) Walking with an artificial leg can be considered if it really prevents the person from holding most jobs. (2) If the person has two legs amputated but in such a way that artificial legs can be used, the person can still go to most places, including going up the stairs. It may be slower, but it is surely very different from a person in a wheelchair who cannot even climb a single step without help.
Short name: One leg
Code 11
Person has no useful legs or two legs unusable (e.g., normally sits in a wheelchair.)
Short name: No legs
Code 12
Regular/Mild cerebral palsy: person can still walk and do most activities or might only be slightly awkward and require no special assistance.
Short name: Cr-Quadrip
The term cerebral refers to the brain's two halves, or hemispheres, and palsy describes any disorder that impairs control of body movement. Thus, these disorders are not caused by problems in the muscles or nerves. Instead, faulty development or damage to motor areas in the brain disrupts the brain's ability to adequately control movement and posture. An individual with cerebral palsy may have difficulty with fine motor tasks, such as writing or cutting with scissors; experience trouble with maintaining balance and walking; or be affected by involuntary movements, such as uncontrollable writhing motion of the hands or drooling.
Code13
Severe cerebral palsy: person is severely affected by the cerebral palsy or might be unable to walk and need extensive, lifelong care.
Short name: Cs-Quadrip
Code14
Regularly intellectually impaired: can be trained to be toilet trained, to wash himself, eat on his own and follow single instructions. Included here are those with Down Syndrome (Mongoloids) and most autistic (persons with autism). Note, not included are slow learners and persons who can travel alone.
Short name: Ir-Retarded
Code15
Severely intellectually impaired: cannot be toilet trained, eat alone, severe autism, etc.
Short name: Is-Retarded
Code16
Regularly impaired by mental illness: actually under psychiatric care or should be under psychiatric care (but do not have the money) as well as patients who recovered within the last three years (to consider the problem that so many becomes sick again). Included here are most persons with epilepsy even if the origin of their problem is very different, people treat them a bit the same as the mentally ill, they have more difficulties obtaining jobs, etc.
Short name: Pr-Mentally ill
Code17
Severely impaired by mental illness: persons needing hospitalization or having been hospitalized within the last three years (as mentioned above, to consider the fact that so many become sick again).
Short name: Ps-Mentally ill
Code18
Regularly multiple impaired. Multiple impairment is always a severe disability, yet among those with multiple impairment, one can be much lighter than the others whom we call severely multiple handicapped. Examples, are one arm and one leg unusable, mentally retarded and some physical defect.
Short name: Mr-Impairment
Code19
Severely multiple impaired. Examples are both legs and both arms paralyzed (quadriplegic); deaf and blind, and severely cerebral palsied and blind.
Short name: Ms-Impairment
All persons
1
Yes
2
No
This variable indicates whether a person is mentally or physically disabled?
Disability Variables -- PERSON
IPUMS
Type of disability
Type of disability
Type of disability
Type of disability
Type of disability
P13. Does [respondent] have any physical or mental disability? (If no skip to P15)
[] Yes
[] No
P14. What type of disability does [respondent] have?
(Please see code book)
_ _
P13 and P14 Disability
Disability refers to any restriction or lack of ability (resulting from an impairment) to perform an activity in the manner or within the range considered normal for a human being. Impairments associated with disabilities may be physical, mental, or sensory motor impairment such as partial or total blindness and deafness, muteness, speech defect, orthopedic handicaps, and mental retardation. Data on disability will enable planners to prepare plans for rehabilitation, education development and preventive programs.
To identify household members who may have disabilities. A "screening" question is asked in column P13. For each household member, ask the respondent "Does _____ have any physical or mental disability?" If the answer is Yes, draw an "x" mark on the circle before YES in
P13 and ask the question in P14: "What type of disability does ____have?" If the answer in P13 is NO, draw an "x" mark on the circle before NO in P13 and skip to P15.
The specific types of disabilities and their respective codes are listed in the Code Book. Be sure to use this Code Book as your guide in probing for information and for coding the responses in column P14. If the answer of the respondent is other than the types of disability listed, write in the space provided the answer of the respondent. The descriptions of the disabilities are given below:
Code 01
No useful sight in any of the two eyes. (Cannot distinguish objects in front of him). Persons may have some light perception (e.g., can realize that it is midday or midnight), but do not have usable sight. They need Braille materials for reading.
Short name: Tot-Blind
Code 02
With better eyesight than totally blind: can distinguish objects in front of him. However, even with eyeglasses cannot distinguish large letters. Practically, this person can walk without hitting his head against the wall, but cannot read anything. Included here as persons with severely limiting vision situations: central only or the sides only or only like a pie of a cake. Persons who can see some objects so that they can walk better and do some activities, but they cannot read printed text even with eyeglasses. They need Braille materials for reading.
Short name: Part-Blind
Code 03
With the better eye, even with eyeglasses, cannot distinguish regular size letters. Practically, can only read the bigger headlines in the newspapers. Included here are persons with limiting vision situations: central only or the sides only or only like a pie of a cake. Persons who, even with appropriate eyeglasses, need large print text (i.e., at least 18 points font) to read at a distance of one foot (30 cm.)
Short name: Low vision
Code 04
Cannot realize any regular sound. Practically the person does not react when somebody claps his hands behind his back. Person may still hear the blowing of a horn of a truck, or the beat of a drum, cannot understand words even with a hearing aid. Mute: There are almost no mute people. The normal case is the so-called "deaf-mute" which is for people who, because of deafness, did not learn to talk but they have all what is physically necessary to talk. Treat them as deaf.
Short name: Tot-Deaf
Code 05
Can hear speech but cannot discriminate the words. [Refers to a person whose both ears can recognize sounds but cannot determine the words (partially deaf).]
Short name: Part- Deaf
Code 06
Person can understand words only if spoken very loud or close to the ear and (normally) has severe difficulties if there are other noises (e.g.,) of other people speaking in the room. Person can be helped with a hearing aid but still has difficulties understanding normal speech.
Short name: Hard-Hear
Code 07
Person at least 15 years old, is object of ridicule or has severely limited job opportunities because of either: - a general stammering problem which makes normal speech extremely difficult - or a cleft-palate or hare-lip that cannot be solved by current medical procedures.
Short name: Oral defect
Code 08
Person has only one useful hand. One arm is not usable (e.g., amputated, deformed or paralyzed arm). Included here are two artificial arms if they are rather useful (i.e., both arms are missing but are replaced with artificial arm).
Short name: One hand
Code 09
Person has no useful hands. Both arms are not usable (e.g., amputated, deformed and missing).
Short name: No hands
Code 10
Person has only one useful leg: walks with crutches and/or artificial leg and/or braces. Note (1) Walking with an artificial leg can be considered if it really prevents the person from holding most jobs. (2) If the person has two legs amputated but in such a way that artificial legs can be used, the person can still go to most places, including going up the stairs. It may be slower, but it is surely very different from a person in a wheelchair who cannot even climb a single step without help.
Short name: One leg
Code 11
Person has no useful legs or two legs unusable (e.g., normally sits in a wheelchair.)
Short name: No legs
Code 12
Regular/Mild cerebral palsy: person can still walk and do most activities or might only be slightly awkward and require no special assistance.
Short name: Cr-Quadrip
The term cerebral refers to the brain's two halves, or hemispheres, and palsy describes any disorder that impairs control of body movement. Thus, these disorders are not caused by problems in the muscles or nerves. Instead, faulty development or damage to motor areas in the brain disrupts the brain's ability to adequately control movement and posture. An individual with cerebral palsy may have difficulty with fine motor tasks, such as writing or cutting with scissors; experience trouble with maintaining balance and walking; or be affected by involuntary movements, such as uncontrollable writhing motion of the hands or drooling.
Code13
Severe cerebral palsy: person is severely affected by the cerebral palsy or might be unable to walk and need extensive, lifelong care.
Short name: Cs-Quadrip
Code14
Regularly intellectually impaired: can be trained to be toilet trained, to wash himself, eat on his own and follow single instructions. Included here are those with Down Syndrome (Mongoloids) and most autistic (persons with autism). Note, not included are slow learners and persons who can travel alone.
Short name: Ir-Retarded
Code15
Severely intellectually impaired: cannot be toilet trained, eat alone, severe autism, etc.
Short name: Is-Retarded
Code16
Regularly impaired by mental illness: actually under psychiatric care or should be under psychiatric care (but do not have the money) as well as patients who recovered within the last three years (to consider the problem that so many becomes sick again). Included here are most persons with epilepsy even if the origin of their problem is very different, people treat them a bit the same as the mentally ill, they have more difficulties obtaining jobs, etc.
Short name: Pr-Mentally ill
Code17
Severely impaired by mental illness: persons needing hospitalization or having been hospitalized within the last three years (as mentioned above, to consider the fact that so many become sick again).
Short name: Ps-Mentally ill
Code18
Regularly multiple impaired. Multiple impairment is always a severe disability, yet among those with multiple impairment, one can be much lighter than the others whom we call severely multiple handicapped. Examples, are one arm and one leg unusable, mentally retarded and some physical defect.
Short name: Mr-Impairment
Code19
Severely multiple impaired. Examples are both legs and both arms paralyzed (quadriplegic); deaf and blind, and severely cerebral palsied and blind.
Short name: Ms-Impairment
All persons
1
Total blindness
2
Partial blindness
3
Low vision
4
Total deafness
5
Partial deafness
6
Hard of Hearing
7
Oral defect
8
Loss of one hand
9
Loss of both hands
10
Loss of one leg
11
Loss of both legs
12
Quadriplegic - regular or mild
13
Quadriplegic severe
14
Mentally retarded- regular or mild
15
Mentally retarded - severe
16
Mentally ill - regular or mild
17
Mentally ill -severe
18
Multiple impairment
19
Undocumented
99
Not disabled
This variable indicates the type of disability for those who are disabled.
Disability Variables -- PERSON
IPUMS
Ethnicity
Ethnicity
Ethnicity
Ethnicity
Ethnicity
P15. How does [respondent] classify himself/herself? Is he/she an Ibaloi, Kankanaey, Mangyan, Manobo, Chinese, Ilocano or what?
(Please see code book)
P15 Ethnicity
Ethnicity is a primary sense of belonging to an ethnolinguistic group; it is consanguineal in nature, meaning, the ties are reckoned by blood and traced through the family tree. Thus, the item refers to the members of the household's identity of self-ascription, as one belonging to a group, by blood.
Ethno-linguistic grouping denotes genealogical and paternal lineage to any of the Philippine group of native population. This group has continuously lived as organized community on communally bounded and defined territory, and who have, under claims of ownership since time immemorial, occupied, possessed and utilized such territories, sharing common bonds of language, customs, traditions and other distinctive cultural traits (and) shall likewise include peoples who are regarded as indigenous on account of their descent". This also includes those who have been displaced or from their traditional domains or who may have resettled outside their domains.
Cases of mixed ancestry, that is, parents belonging to different ethnic groups may occur. The family being bilateral just like any Filipino family, respondents have a choice whether or not to indicate the paternal or maternal branch as the reference point of their ethnic classification. The children of mixed marriages may follow the ethnic affiliation of a parent with whom he/she has more association. However, for children who do not talk vet at the time of census, their ethnicity would be that of the mother.
Ask the respondent the question in P15: "How does________'s classify himself/herself?
Is he/she an Ibaloi, Kankanaey, Mangyan, Manobo, Chinese, llocano or what?" for all members of the household. The ethnicity and their corresponding codes for this item are listed in the Code Book. If it is not among the pre-coded answers, write the ethnicity on the space provided but not touching the code boxes.
Note: Items P22 and P23 are to be accomplished only for household members who are at least five years old. If a household member is younger than five years of age, leave columns P22 and P23 blank.
All persons
1
Akeanon/Alanon
2
Bikol/Bicol
3
Cebuano
4
Hiligaynon, Ilongo
5
Ibanag
6
Ifugao
7
Ilocano
8
Kankanai/Kankaney
9
Kapampangan
10
Karay-a
11
Manobo/Ata-Manobo
12
Maranao
13
Masbateno/Masbatenon
14
Pangasinan/Panggalato
15
Sama (Samal)/Abaknon
16
Surigaonon
17
Tagalog
18
Tausog
19
Waray
20
Zambageno-Chavacano
21
Abelling
22
Abiyan
23
Aburin
24
Aeta/Ayta
25
Aggay
26
Agta
27
Agutaynon/Agutayanon
28
Alangan
29
Apayao/Yapayao
30
Applai
31
Atta/Ata/Ati
32
Ayangan
33
Badjao, Sama Dilaut
34
Bagobo/Guinga
35
Balangao/Baliwon
36
Bantoanon
37
Banwaon
38
Batak/Binatak
39
Batangan
40
Bilaan/B'laan
41
Binukid/Bukidnon
42
Bisaya/Binisaya
43
Boholano
44
Bolinao
45
Bugkalot
46
Bontok/Binontok
47
Buhid
48
Butuanon
49
Caviteno
50
Caviteno-Chavacano
51
Cimaron
52
Cotabateno
53
Cotabateno-Chavacano
54
Cuyunon/Cuyunan
55
Dava-Chavacano
56
Davaweno
57
Dibabawon
58
Dumagat/Dumagat(Umiray)
59
Gaddang
60
Gubatnon
61
Hamtikanon
62
Hanunuo
63
Higaonon
64
Ibaloi/Inibaloi
65
Ibontoc
66
Ikalahan/Kalanguya
67
Ilanun/Llanuan
68
Ilongot
69
Iranon
70
Iraya
71
Isamal Kanlaw
72
Isarog
73
Isinay
74
Isnag
75
Isneg
76
Itawis
77
Itawit
78
Itneg
79
Ivatan/Itbayat
80
Iwak/I'wa/Owak
81
Iyapplai
82
iyiwaks
83
Jama Mapun
84
Kaagan
85
Kabihug
86
Kagayanen
87
Kalagan
88
Kalamianen
89
Kalinga
90
Kamayo
91
Kamigin/Kinamiging
92
Kapul
93
Karaga
94
Karao
97
Kasigurahin
98
Kinalinga
99
Kiniray-a
100
Kolibugan/Kalibugan
101
Ligbuk/Lugbok
102
Maguindanao
103
Malaueg
105
Mamanwa
106
Mandaya
107
Mangyan
108
Mansaka
109
Matigsalog
110
Molbog
111
Negrito
113
Palawan/Pinalawan/Palawanon
114
Paranan
116
Ratagnon
117
Remontado
118
Romblon/Rombloanon
119
Sambal, Zambal
120
Sangil, Sangir
121
Subanen (Sicon,Zambo. Norte)/Subaben (Zambo. Norte and Sur)
122
Sulod
123
Tabangnon
124
Tadyawan
125
Tagabawa
127
Tagakaolo
128
Tagbanwa
130
Talaandig
131
T'boli
132
Teduray
133
TernateƱo-Chavacano
134
Tigwahon/Tigwahanon
135
Tinggian
136
Tiruray
137
Tuwali
138
Ubo
139
Umayamnon
140
Yakan
141
Yogad
142
Other Local Dialects/Ethnicity
143
Chinese
144
American/English
145
Other Foreign Languages/Ethnicity
146
Sama (Sama Bangengeh
149
Sama Dilaya
152
Capizeno
998
Response suppressed
999
Unknown
This variable indicates the ethnicity of the person.
Ethnicity and Language Variables -- PERSON
IPUMS
Literacy
Literacy
Literacy
Literacy
Literacy
For Persons 5 years Old and Over
P16. Can [respondent] read and write a simple message in any language or dialect?
[] Yes
[] No
P16 Literacy
Data on literacy provide an important indication of the capability of the nation for economic, social and cultural development. Such data serve as guide to planners concerned with the policies for the development of the educational system.
Simple literacy is the ability to read and write a simple message. A person is literate when he can both read and write a simple message in any language or dialect. A person who cannot both read and write a simple message, like "Census 2000 count me in" is illiterate. Also consider a person illiterate if he is capable of reading and writing only his own name or numbers, as well as a person who can read but not write, or vice versa.
A person who knows how to read and write but at the time of the census he/she can no longer read and/or write due to some physical defects or illness is considered literate. Example of this is an aged person who knows how to read and write but can no longer perform these activities due to poor eyesight.
Disabled persons who can read and write through any means such as Braille are considered literate.
Ask the question in P16: "Can ______ read and write a simple message in any language or dialect?" Enter "x" mark in the circle before YES, for those persons who are literate, or cross out the circle for NO, for those persons who are illiterate.
Persons age 5+
1
Literate
2
Illiterate
9
NIU (not in universe)
This variable indicates whether the person can read and write a simple message in any language or dialect.
Education Variables -- PERSON
IPUMS
Able to speak Filipino
Able to speak Filipino
Able to speak Filipino
Able to speak Filipino
Able to speak Filipino
For Persons 5 years Old and Over
P17. Is [respondent] able to speak Filipino/Tagalog?
[] Yes
[] No
P17 and P18 Language
Knowledge on the ability of the population to speak a language or dialect is important in a country like the Philippines since more than one dialect/language are used as teaching media in schools. Moreover, such data serve as input to studies on communication and education of linguistic minorities.
Persons age 5+
1
Yes
2
No
9
NIU (not in universe)
This variable indicates whether the person can speak Filipino/Tagalog.
Ethnicity and Language Variables -- PERSON
IPUMS
Able to speak English
Able to speak English
Able to speak English
Able to speak English
Able to speak English
For Persons 5 years Old and Over
P18. Is [respondent] able to speak English?
[] Yes
[] No
P17 and P18 Language
Knowledge on the ability of the population to speak a language or dialect is important in a country like the Philippines since more than one dialect/language are used as teaching media in schools. Moreover, such data serve as input to studies on communication and education of linguistic minorities.
Persons age 5+
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
This variable indicates whether the person is able to speak English or not.
Ethnicity and Language Variables -- PERSON
IPUMS
School attendance
School attendance
School attendance
School attendance
School attendance
For Persons 5 years Old and Over
P19. Did [respondent] attend school at anytime from June 1999 to March 2000? ( If no, skip to P22)
[] Yes
[] No
P19 School attendance
Data on school attendance provide a description of the school-age population actually in school. The proportion of the school-age population, which is able to take advantage of the educational system, is necessary in the assessment of the adequacy of the educational system of the country.
Ask the respondent the question in P19: "Did _______ attend school at any time from June 1999 to March 2000?" for all persons 5 years old and over. If the answer is Yes, cross out the circle for this category; otherwise, place an "x" in the circle for No.
School attendance means attendance at any educational institution, public or private, for formal academic education at the elementary, high school, college or university level at any time during the school year June 1999 to March 2000.
Attendance in these schools leads to a higher grade and ultimately, to an academic title/degree. It includes attendance in night classes.
Include school attendance that is leading to a high school diploma in vocational high schools such as schools of arts and trades or technical high schools, and rural or agricultural high schools. Also include attendance in post secondary vocational/technical schools which are within the regular system of education such as universities and colleges.
Examples:
a. Eulogio "Amang" Rodriguez Institute of Science and Technology (EARIST)
b. San Carlos Rural High School
Exclude, however, attendance in vocational schools outside the regular system of education, in such short courses as dressmaking, beauty culture, hair science, auto mechanic, motor vehicle driving, typing, stenography, bookkeeping, etc. Also exclude day care centers which teach children the alphabet just to pass away their time.
Examples:
a. A-l Driving School
b. CWL Vocational Center
c. Twinkle Twinkle Little Star Day Care Center
Also exclude training received by mail from correspondence schools like ICS (International Correspondence School). However, if the correspondence courses are given by a regular school such as a university, and they are considered toward promotion in the regular school system, such schooling should be included. Also exclude school attendance in review classes for bar or board or other examination for the practice of a profession or trade.
If a person was enrolled at the beginning of the school year or on the second semester but subsequently dropped out from school, draw an "x" mark on the circle corresponding the answer YES.
If an answer of Yes is given for a person who is old enough to have graduated from college (25 years old and over), verify the answer, especially in barangays far from colleges and universities, before drawing an "x" mark on the circle corresponding the answer YES.
Filling Up Questions P11 to P19 of CPH Form 3: An Example
Illustration 8.1 shows how to fill-up P11 to P19 of CPH Form 3 based on the information from the household of Ismael Santiago. Among the household members, only Carlito attended school from June 1999 to March 2000. Alma can read and write only in Filipino/Tagalog.
Persons age 5+
1
Attended school
2
Did not attend school
9
NIU (not in universe)
This variable indicates whether the person attended school anytime from June 1999 to March 2000.
Education Variables -- PERSON
IPUMS
Type of school
Type of school
Type of school
Type of school
Type of school
For Persons 5 years Old and Over
P21. In what type of school?
(Please cross out one of the selections)
[] Government/Public
[] Private
[] Madrasah
[] Others
P21 Type of school
For all persons 5 years old and over, whose answer in P19 is Yes and there is an entry in P20, ask the respondent the question in P21: "What type of school?". Cross out the circle corresponding to the selected category. If the answer is for "Government/Public" or "Private", proceed to ask the question in P21, otherwise, skip to P23.
Public schools are those schools entirely subsidized by the national government as mandated by the Constitution. Free government elementary and secondary schools have been established in many barangays throughout the country. Preschool education, however, are mostly offered by private sector. Public colleges and universities are classified into three categories, as follows:
1. Chartered state universities and colleges are institutions that enjoy autonomy under a self-governing board of regents chaired by the Secretary of the Department of Education, Culture and Sports (DECS) or by his or her designated representative.
2. Non-chartered state colleges are higher educational institutions offering higher education courses. Many of them evolved from technical schools such as schools of arts and trades (SATs), agriculture, and others.
3. Community colleges are mostly outgrowths of barangay high schools located in rural areas and offer degree programs including graduate programs.
Private schools are those schools subsidized by a private person or a group of persons. Some of the secondary and post secondary schools are private stock (non-sectarian) or non-corporations. Private colleges and universities are governed by corporation laws. Such institutions have their respective board of directors or trustees and are either stock or non-stock corporations. Institutions with religious affiliations are classified as sectarian schools and are non-stock organizations.
Madrasah and others refer to schools that provide alternative learning system. This alternative learning system is classified as non-formal and informal educational systems. However, such entities are not accredited by the Department of Education, Culture and Sports. Learning systems like schools of living traditions which are organized by indigenous communities and supported by the National Commission for Culture and the Arts are categorized as "others".
Persons age 5+ in school between June 1999 to March 2000
1
Government/public school
2
Private school
3
Madrasah
4
Others
8
Unknown
9
NIU (not in universe)
This variable indicates the type of school (e.g. private, public) the person attended.
Education Variables -- PERSON
IPUMS
Highest grade completed
Highest grade completed
Highest grade completed
Highest grade completed
Highest grade completed
For Persons 5 years Old and Over
P22. What is the highest grade/year completed by [respondent]?
(Please see code book)
_ _
P22 Highest educational attainment
Data on highest educational attainment furnish material for a comparison of the present educational equipment of the adult population with the present and anticipated future requirements of manpower for various types of economic activities.
Highest educational attainment refers to the highest grade or year completed in school, college or university as of May 1, 2000. This may be any one of the specific grades or years in elementary, high school, post secondary school, college and post-baccalaureate levels of schooling. It also includes pre-school education.
Ask the question in P22: "What is the highest grade/year completed by ___?" for all persons 5 years old and over. Enter in P22 the two-digit code corresponding to the highest educational attainment, which are listed in the Code Book.
If the answer given by the respondent is in terms of the level of schooling only (e.g., elementary, high school, college) and not the specific grade or year completed, determine the specific grade or year by asking the respondent additional questions. The answer "Elementary" or "High School" is insufficient.
Examples:
1. Enter 11 if the person has only completed Grade 1, 13 for Grade 3 or 22 for 2nd Year High School.
2. If the person has not completed any grade at all, enter 00.
3. The code for pre-school is 01.
4. A student who is enrolled in 2nd year high school at the time of the census has completed 1st year and should therefore be reported as 1st year high school - 21.
Report also in P22 the post secondary course that a person has completed. Post secondary course refers to the stage of formal education following the secondary education level covering non-degree programs that have varying duration lasting up to three years, concerned primarily with developing strong and appropriately trained middle level manpower.
Post Secondary 1 year is the highest grade completed by a person who has taken a post secondary course for at least a year but has not yet completed the course at the time of Census 2000. Consider, for example, a person who at the time of the census is a 2nd year student of a 2-year course in Automotive Technology. Since he has finished his 1st year in Automotive Technology, he is considered under this category and the correct code is 31.
Post Secondary 2 years is the highest grade completed by a person who has taken at least two year but has not yet completed the course at the time of Census 2000. The appropriate code for this is 32.
In order to determine whether the vocational/technical course reported by the respondent is under post secondary education (formal education) the following probing questions should be asked:
1. Is the course offered/taken in school, college/university or NMYC? If in
NMYC, the course is non-formal and therefore, will not be considered as post secondary education.
If in school, college/university the following question should be asked:
2. Is completion of high school course a requirement for admission? If yes, the course is considered formal, hence, post secondary.
If the person has successfully completed his post secondary education, enter the code of the course/certificate completed in the code boxes and specify its title and corresponding duration on the space provided. The codes (50 - 58) are provided in the Code Book.
Examples:
2-Yr. Associate in Art, code 50
2-Yr. Certificate in Physical Education, code 51
6-Mo. Basic Computer System, code 54
6-Mo. Auto Diesel Technology, code 56
Take note of the following cases:
1. If a person finished a post secondary course and is currently a 1st year college student, his post secondary course should be reported.
2. If a person is currently enrolled in a (6-month or 1-year) post secondary course but has not finished the course, he should be reported as a high school graduate.
3. If a person is currently in 1st year college or post secondary, do not assume that he is only a high school graduate. Verify if he has taken/completed other courses (degree or non-degree courses).
If the person is a college undergraduate, i.e., he has not earned a degree; enter the code for the year of his completed education as 41 for 1st year college, 44 for 4th year college, etc.
Note that code 46 stands for 6th or higher year in college. If he has graduated from college but has never been enrolled in any post-baccalaureate course, the appropriate code may either be 60 to 68, depending on the college course finished. Different categories are listed in the Code Book.
Usually, it is difficult to differentiate certificate and diploma courses that are under post secondary education from post-graduate courses. In order to determine whether the course reported by the respondent is a post secondary or post-graduate course, the following question should be asked:
Is a baccalaureate or a college degree a requirement for admission to certificate or diploma course? If yes, the course is considered under postgraduate course. Otherwise, it is classified as post secondary course.
Examples:
Certificate in Development Economics - post graduate course
Diploma in Population Communication - post graduate course
Diploma in Junior Secretarial- post secondary
Certificate in Agri-Business- post secondary
The acquisition of a college degree implies the successful completion of a course study. Information on degree received should be collected only for persons who have completed a course study at the third level of education. Such information should include the title of the highest degree received, and an indication of the field of study if the title does not make it clear.
For a college graduate, enter the corresponding code of the specific Bachelor's or higher degree obtained. The codes (60 - 68) are provided in the Code Book.
Examples:
B.S. Commerce, code 63
B.S. Chemical Engineering, code 65
B.S. Math, code 64
For those who have pursued and completed two or more degrees of the same level and duration, report only one degree or whichever degree the person preferred to be reported.
Post-baccalaureate refers to any course for which an under graduate degree is required. Masters and doctoral degree students and graduates fall under this category. In addition, law or medical students who have earned a degree, e.g., BS Political Science, BS Zoology, BS Med. Tech., etc. but are still in law or medical school should also be considered under this category. The appropriate code for this educational level is 71. The same rule applies to graduate students who are still working for their master's degree, taking doctorate studies and for a person who have completed masters or doctoral degree. For both cases enter 71.
If an unusually high "highest educational attainment" is reported in relation to the age of the person, verify the report from the respondent. For example: 3rd year high school for a boy who is 13 years old or college graduate for a person who is 17 years old.
Persons age 5+
No grade completed
1
Pre-school
11
Elementary grade 1
12
Elementary grade 2
13
Elementary grade 3
14
Elementary grade 4
15
Elementary grade 5
16
Elementary grade 6
17
Elementary grade 7
21
1st year highschool
22
2nd year highschool
23
3rd year highschool
24
4th year highschool
25
Highschool graduate
31
Post secondary 1 year
32
Post secondary 2 year
41
1st year college
42
2nd year college
43
3rd year college
44
4th year college
45
5th year college
46
6th year college
50
Post secondary graduate
51
Post secondary graduate
52
Post secondary graduate
53
Post secondary graduate
54
Post secondary graduate
55
Post secondary graduate
56
Post secondary graduate
57
Post secondary graduate
58
Post secondary graduate
59
Post secondary graduate
60
Academic degree holder
61
Academic degree holder
62
Academic degree holder
63
Academic degree holder
64
Academic degree holder
65
Academic degree holder
66
Academic degree holder
67
Academic degree holder
68
Academic degree holder
71
Post baccalaurete
98
Unknown
99
NIU (not in universe)
This variable indicates the highest grade/year completed by the person.
Education Variables -- PERSON
IPUMS
Province of residence 5 years ago
Province of residence 5 years ago
Province of residence 5 years ago
Province of residence 5 years ago
Province of residence 5 years ago
For Persons 5 years Old and Over
P23. Residence 5 years ago
In what city/municipality did [respondent] reside on May 1, 1995?
_ _ _ _ Province /City/Municipality
0007 Foreign Country
0008 Same City/Municipality
0009 Unknown
If another city/municipality, specify city/municipality and province (Please see code book)
_ _ _ _ Province /City/Municipality
___ City/Municipality
___ Province
P23 Residence 5 years ago
The question on residence 5 years ago pertains to the place where a person was residing 5 years ago. Data on these are vital for projects concerning housing and industrial development.
Estimates of migration are needed for preparing population projections necessary for planning and policy purposes. Distribution of internal migration at certain geographic level will be better judged as to its implications to social changes given a detailed analysis of the volume and trend of internal migration.
Ask the question in P23: "In what city/municipality did ______ reside on May 1, 1995?" Enter code 0008 in P23 if the person's residence 5 years ago is the same as his present residence.
However, if his residence 5 years ago was in another city/municipality, write the name of the city/municipality and province on the space provided.
For those whose residence 5 years ago is in a foreign country, enter code 0007 in the code box.
If the respondent does not know the residence of the members of the household 5 years ago, ask the person himself about his residence 5 years ago. However, if the person cannot recall the name of the city/municipality and province where he lived 5 years ago after exhaustive probing, enter code 0009 for unknown in the code box.
Complete names of provinces should be written when provinces like llocos, Negros, Davao and Bicol were provided. Ask the respondent whether, he/she means llocos Norte or llocos Sur, Negros Oriental or Occidental, Davao del Sur, Davao del Norte or Davao Oriental and what particular province in the Bicol Region.
In cases where the respondent knows only the province but not the municipality, enter the correct code of the province in the first two code boxes and code 99 for the last two boxes.
Filling Up Questions P13 to P15, P22 and P23
Example:
To complete the example given earlier about the Santiago household, look at the following information and the corresponding items in CPH Form 2 as shown in Illustration 7.2.
Ismael is an architecture graduate, while his wife, Rodora is a nursing graduate. Karmela is a secretarial graduate while her husband Jose, who is a contract worker in Saudi Arabia, is an electronics engineering graduate. Their son, Carlito is only in Grade 1. Marissa, on the other hand, quit schooling after she lost her hearing in a car accident. She was then in the middle of her 3rd year in college. Their helper Alma Cruz has not completed any grade at all but can read and write.
Persons age 5+
Same city/municipality
1
Abra
2
Agusan Del Norte
3
Agusan Del Sur
4
Aklan
5
Albay
6
Antique
7
Basilan
8
Bataan
9
Batanes
10
Batangas
11
Benguet
12
Bohol
13
Bukidnon
14
Bulacan
15
Cagayan
16
Camarines Norte
17
Camarines Sur
18
Camiguin
19
Capiz
20
Catanduanes
21
Cavite
22
Cebu
23
Davao (Davao Del Norte)
24
Davao Del Sur
25
Davao Oriental
26
Eastern Samar
27
Ifugao
28
Ilocos Norte
29
Ilocos Sur
30
Iloilo
31
Isabela
32
Kalinga
33
La Union
34
Laguna
35
Lanao Del Norte
36
Lanao Del Sur
37
Leyte
38
Maguindanao
39
Manila, Metro First District
40
Marinduque
41
Masbate
42
Misamis Occidental
43
Misamis Oriental
44
Mountain Province
45
Negros Occidental
46
Negros Oriental
47
Cotabato (North Cotabato)
48
Northern Samar
49
Nueva Ecija
50
Nueva Vizcaya
51
Occidental Mindoro
52
Oriental Mindoro
53
Palawan
54
Pampanga
55
Pangasinan
56
Quezon
57
Quirino
58
Rizal
59
Romblon
60
Samar (Western Samar)
61
Siquijor
62
Sorsogon
63
South Cotabato
64
Southern Leyte
65
Sultan Kudarat
66
Sulu
67
Surigao Del Norte
68
Surigao Del Sur
69
Tarlac
70
Tawi-Tawi
71
Zambales
72
Zamboanga Del Norte
73
Zamboanga Del Sur
74
Metro Manila, Second District
75
Metro Manila, Third District
76
Metro Manila, Fourth District
77
Aurora
78
Biliran
79
Guimaras
80
Sarangani
81
Apayao
82
Compostela Valley
90
Foreign country
98
Cotabato and Marawi
99
NIU (not in universe)
This variable indicates the person's province of residence five years ago.
Migration Variables -- PERSON
IPUMS
Province of residence 10 years ago
Province of residence 10 years ago
Province of residence 10 years ago
Province of residence 10 years ago
Province of residence 10 years ago
For Persons 10 Years Old and Over
P24. Residence 10 years ago
In what city/municipality did [respondent] reside on May 1, 1990?
_ _ _ _ Province /City/Municipality
0007 Foreign Country
0008 Same City/Municipality
0009 Unknown
If another city/municipality, specify city/municipality and province (Please see code book)
_ _ _ _ Province /City/Municipality
___ City/Municipality
___ Province
P24 Residence 10 years ago
The question on residence 10 years ago pertains to the place where a person was residing 10 years ago. Data on this are collected to fill the missing information on migration between 1990 and 1995.
Ask the question in P24: "In what city/municipality did ______ reside on May 1, 1990?". Enter code 0008 in P24 if the person's residence 10 years ago is the same as his present residence. However, if his residence 10 years ago was in another city/municipality, write the name of the city/municipality and province on the space provided.
For those whose residence 10 years ago was in a foreign country, enter code 0007 in the code box.
If the respondent does not know the residence of the members of the household 10 years ago, ask the person himself about his residence 10 years ago. However, if the person cannot recall the name of the city/municipality and province where he lived 10 years ago after exhaustive probing, enter code 0009 for unknown in the code box.
Complete names of provinces should be written when provinces like llocos, Negros, Davao and Bicol were provided. Ask the respondents whether, they mean llocos Norte or llocos Sur, Negros Oriental or Occidental, Davao del Sur, Davao del Norte or Davao Oriental and what particular province in the Bicol Region.
In cases where the respondent knows only the province where the member resided ten years ago, enter appropriate code of the province in the first two code boxes and code 99 for the last two boxes.
Filling Up Questions P20 to P24 of CPH Form 3: An Example
The illustration below shows the same household of Ismael Santiago.
Among the household members, only Carlito attended school from June 1999 to March 2000. He attended a private school in their city.
Persons age 10+
Same city/municipality
1
Abra
2
Agusan Del Norte
3
Agusan Del Sur
4
Aklan
5
Albay
6
Antique
7
Basilan
8
Bataan
10
Batangas
11
Benguet
12
Bohol
13
Bukidnon
14
Bulacan
15
Cagayan and Batanes
16
Camarines Norte
17
Camarines Sur
18
Camiguin
19
Capiz
20
Catanduanes
21
Cavite
22
Cebu
23
Davao (Davao Del Norte)
24
Davao Del Sur
25
Davao Oriental
26
Eastern Samar
27
Ifugao
28
Ilocos Norte
29
Ilocos Sur
30
Iloilo
31
Isabela
32
Kalinga
33
La Union
34
Laguna
35
Lanao Del Norte
36
Lanao Del Sur
37
Leyte
38
Maguindanao
39
Manila, Metro First District
40
Marinduque
41
Masbate
42
Misamis Occidental
43
Misamis Oriental
44
Mountain Province
45
Negros Occidental
46
Negros Oriental
47
Cotabato (North Cotabato)
48
Northern Samar
49
Nueva Ecija
50
Nueva Vizcaya
51
Occidental Mindoro
52
Oriental Mindoro
53
Palawan
54
Pampanga
55
Pangasinan
56
Quezon
57
Quirino
58
Rizal
59
Romblon
60
Samar (Western Samar)
61
Siquijor
62
Sorsogon
63
South Cotabato
64
Southern Leyte
65
Sultan Kudarat
66
Sulu
67
Surigao Del Norte
68
Surigao Del Sur
69
Tarlac
70
Tawi-Tawi
71
Zambales
72
Zamboanga Del Norte
73
Zamboanga Del Sur
74
Metro Manila, Second District
75
Metro Manila, Third District
76
Metro Manila, Fourth District
77
Aurora
78
Biliran
79
Guimaras
80
Sarangani
81
Apayao
82
Compostela Valley
90
Foreign country
98
Cotabato and Marawi
99
NIU (not in universe)
This variable indicates the person's province of residence ten years ago.
Migration Variables -- PERSON
IPUMS
Municipality of residence 10 years ago
Municipality of residence 10 years ago
Municipality of residence 10 years ago
Municipality of residence 10 years ago
Municipality of residence 10 years ago
For Persons 10 Years Old and Over
P24. Residence 10 years ago
In what city/municipality did [respondent] reside on May 1, 1990?
_ _ _ _ Province /City/Municipality
0007 Foreign Country
0008 Same City/Municipality
0009 Unknown
If another city/municipality, specify city/municipality and province (Please see code book)
_ _ _ _ Province /City/Municipality
___ City/Municipality
___ Province
P24 Residence 10 years ago
The question on residence 10 years ago pertains to the place where a person was residing 10 years ago. Data on this are collected to fill the missing information on migration between 1990 and 1995.
Ask the question in P24: "In what city/municipality did ______ reside on May 1, 1990?". Enter code 0008 in P24 if the person's residence 10 years ago is the same as his present residence. However, if his residence 10 years ago was in another city/municipality, write the name of the city/municipality and province on the space provided.
For those whose residence 10 years ago was in a foreign country, enter code 0007 in the code box.
If the respondent does not know the residence of the members of the household 10 years ago, ask the person himself about his residence 10 years ago. However, if the person cannot recall the name of the city/municipality and province where he lived 10 years ago after exhaustive probing, enter code 0009 for unknown in the code box.
Complete names of provinces should be written when provinces like llocos, Negros, Davao and Bicol were provided. Ask the respondents whether, they mean llocos Norte or llocos Sur, Negros Oriental or Occidental, Davao del Sur, Davao del Norte or Davao Oriental and what particular province in the Bicol Region.
In cases where the respondent knows only the province where the member resided ten years ago, enter appropriate code of the province in the first two code boxes and code 99 for the last two boxes.
Filling Up Questions P20 to P24 of CPH Form 3: An Example
The illustration below shows the same household of Ismael Santiago.
Among the household members, only Carlito attended school from June 1999 to March 2000. He attended a private school in their city.
Persons age 10+
This variable indicates the person's municipality of residence ten years ago.
Migration Variables -- PERSON
IPUMS
Occupation, 2 digits
Occupation, 2 digits
Occupation, 2 digits
Occupation, 2 digits
Occupation, 2 digits
For Persons 10 Years Old and Over
P25. What was [respondent]'s usual activity/occupation during the past 12 months?
(Please see code book)
If housewife, student or retiree, skip to P29.
_ _ _ _
P25 Usual activity/occupation
Data on occupation are essential for analyzing the growth, composition and distribution of the work force. They provide information on socio-economic status of the population which is essential in planning the necessary training programs aimed at full and effective utilization of the country's human resources.
Ask the question in P25: "What was______'s usual activity/occupation during the past twelve months?" for all persons 10 years old and over. Write in the space provided the type of activity/occupation of the person. This will be coded later using the Code Book.
Through this question we can determine whether a person is a gainful worker or is a non-gainful worker.
The term usual activity/occupation refers to the kind of job or business which a person was engaged in most of the time during the last twelve months preceding the interview. In other words, usual activity/occupation is the person's principal means of earning a living like a palay farmer, carpenter, retail merchant, elementary school teacher, telephone operator, etc. during the past twelve months.
For persons who did not work during the past 12 months, their usual activity/occupation relates to the non-gainful activities they usually do most of the year or to their status. They will be reported in either of the following:
1. Housekeeper, own home
2. Student
3. Pensioner (quite old to work and receiving monthly pension or annuity. Report under "Disabled" if disabled but still young).
4. Retired (quite old to work and not receiving monthly pension or annuity, including those retired from the government service or private employment who can still work but do not care to work anymore).
5. Disabled (suffering from permanent illness or permanent disability)
6. Dependent (other than above), etc.
For purposes of this census, a person is considered as gainful worker or usually working most of the time during the past 12 months if he works for at least 10 hours a week for 6 months (26 weeks) or longer, including vacation or sick leave, in one or more of these classes of work:
1. work for pay (wage, salary, commission, tips, etc.);
2. work for profit in own farm, business, private practice of a profession or trade, and;
3. work without pay on own family farm or business.
For persons whose activities varied during the preceding 12 months, report as his usual activity/occupation that which he was engaged in for more than six months. However, if none of these activities lasted for more than six months, report the one which had the longest duration.
For persons working at two permanent jobs, the job at which they work longer hours should be reported. If they spend the same number of hours on both jobs, report the job from which they earn greater income.
Take note of the following cases:
1. If a person worked most of the time during the past 12 months but actually devoted more time to studying or housekeeping most of the year, report the gainful occupation he did and not student or housekeeper.
2. If for several years a person had been a school teacher but on May 1,
2000 has already quit his teaching job and is operating a palay farm, his usual occupation is still an elementary school teacher.
3. During the census, a person may be working in a job other than his usual occupation. For instance, an elementary school teacher works during the long school vacation as a merchant or a palay farmer or fisherman works temporarily as a carpenter. In these cases, the report should be "Elementary school teacher", "palay farmer", or "fisherman", respectively, and not the temporary jobs they are presently doing.
Always describe the specific job or occupation performed by the person in the establishment, office, farm, etc., such as radio technician, records clerk, typist, stenographer, lawyer, farm manager, elementary school teacher, bill collector, carpenter, hospital attendant, etc.
Answers such as agent, engineer, mechanic, employee, etc., do not describe adequately the work performed. Ask the respondent additional questions like "Does this person work for a life insurance company, advertising agency, etc.?" or "What kind of engineer/mechanic is he?"
If the respondent gives a long description of the actual duties of work of the person, report the occupation that fits the description.
Avoid such ambiguous descriptions as owner, partner, businessman, etc. They do not adequately describe the occupation of the person. They simply indicate the proprietary relationship of the person to the business and some owners do not do any work in connection with their business.
If a person is the owner of an enterprise and he manages it or participates in its management, report "Manager" as his occupation. However, in such enterprises emerge in wholesale or retail trade, hotel, dormitory, restaurant, cafeteria or other lodging or eating place, said owner managing or participating in the management of the enterprise should be reported as "wholesale merchant", "retailer", or "working proprietor ". Note however, that a partner in a business who is paid by the partnership to manage the business should be reported as "manager" and not "working proprietor".
Persons age 10+
1
Armed forces
11
Officials of government and special-interest organizations
12
Corporate executives and specialized managers
13
General managers/managing-proprietors
14
Supervisors
21
Physical, mathematical and engineering science professionals
22
Life science and health professionals
23
Teaching professionals
24
Other professionals
31
Physical science and engineering associate professionals
32
Life science and health asociate professionals
33
Teaching associate professionals
34
Related associate professionals
41
Office clerks
42
Customer service clerks
51
Personal and protective service workers
52
Models, salespersons and demonstrators
61
Farmers and other plant growers
62
Animal producers
63
Forestry and related workers
64
Fishermen
65
Hunters and trappers
71
Mining, construction and related trades workers
72
Metal, machinery and related trades workers
73
Precision, handicraft, printing and related trades 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
Agricultural, forestry, fishery and related laborers
93
Laborers in mining, construction, manufacturing and transport
95
Other occupation not classifiable
97
No occupation
98
Unknown
99
NIU (not in universe)
This variable indicates the person's usual activity/occupation (2-digit) during the past 12 months.
Work: Occupation Variables -- PERSON
IPUMS
Occupation
Occupation
Occupation
Occupation
Occupation
For Persons 10 Years Old and Over
P25. What was [respondent]'s usual activity/occupation during the past 12 months?
(Please see code book)
If housewife, student or retiree, skip to P29.
_ _ _ _
P25 Usual activity/occupation
Data on occupation are essential for analyzing the growth, composition and distribution of the work force. They provide information on socio-economic status of the population which is essential in planning the necessary training programs aimed at full and effective utilization of the country's human resources.
Ask the question in P25: "What was______'s usual activity/occupation during the past twelve months?" for all persons 10 years old and over. Write in the space provided the type of activity/occupation of the person. This will be coded later using the Code Book.
Through this question we can determine whether a person is a gainful worker or is a non-gainful worker.
The term usual activity/occupation refers to the kind of job or business which a person was engaged in most of the time during the last twelve months preceding the interview. In other words, usual activity/occupation is the person's principal means of earning a living like a palay farmer, carpenter, retail merchant, elementary school teacher, telephone operator, etc. during the past twelve months.
For persons who did not work during the past 12 months, their usual activity/occupation relates to the non-gainful activities they usually do most of the year or to their status. They will be reported in either of the following:
1. Housekeeper, own home
2. Student
3. Pensioner (quite old to work and receiving monthly pension or annuity. Report under "Disabled" if disabled but still young).
4. Retired (quite old to work and not receiving monthly pension or annuity, including those retired from the government service or private employment who can still work but do not care to work anymore).
5. Disabled (suffering from permanent illness or permanent disability)
6. Dependent (other than above), etc.
For purposes of this census, a person is considered as gainful worker or usually working most of the time during the past 12 months if he works for at least 10 hours a week for 6 months (26 weeks) or longer, including vacation or sick leave, in one or more of these classes of work:
1. work for pay (wage, salary, commission, tips, etc.);
2. work for profit in own farm, business, private practice of a profession or trade, and;
3. work without pay on own family farm or business.
For persons whose activities varied during the preceding 12 months, report as his usual activity/occupation that which he was engaged in for more than six months. However, if none of these activities lasted for more than six months, report the one which had the longest duration.
For persons working at two permanent jobs, the job at which they work longer hours should be reported. If they spend the same number of hours on both jobs, report the job from which they earn greater income.
Take note of the following cases:
1. If a person worked most of the time during the past 12 months but actually devoted more time to studying or housekeeping most of the year, report the gainful occupation he did and not student or housekeeper.
2. If for several years a person had been a school teacher but on May 1,
2000 has already quit his teaching job and is operating a palay farm, his usual occupation is still an elementary school teacher.
3. During the census, a person may be working in a job other than his usual occupation. For instance, an elementary school teacher works during the long school vacation as a merchant or a palay farmer or fisherman works temporarily as a carpenter. In these cases, the report should be "Elementary school teacher", "palay farmer", or "fisherman", respectively, and not the temporary jobs they are presently doing.
Always describe the specific job or occupation performed by the person in the establishment, office, farm, etc., such as radio technician, records clerk, typist, stenographer, lawyer, farm manager, elementary school teacher, bill collector, carpenter, hospital attendant, etc.
Answers such as agent, engineer, mechanic, employee, etc., do not describe adequately the work performed. Ask the respondent additional questions like "Does this person work for a life insurance company, advertising agency, etc.?" or "What kind of engineer/mechanic is he?"
If the respondent gives a long description of the actual duties of work of the person, report the occupation that fits the description.
Avoid such ambiguous descriptions as owner, partner, businessman, etc. They do not adequately describe the occupation of the person. They simply indicate the proprietary relationship of the person to the business and some owners do not do any work in connection with their business.
If a person is the owner of an enterprise and he manages it or participates in its management, report "Manager" as his occupation. However, in such enterprises emerge in wholesale or retail trade, hotel, dormitory, restaurant, cafeteria or other lodging or eating place, said owner managing or participating in the management of the enterprise should be reported as "wholesale merchant", "retailer", or "working proprietor ". Note however, that a partner in a business who is paid by the partnership to manage the business should be reported as "manager" and not "working proprietor".
Persons age 10+
11
Officers
12
Enlisted personnel
111
Government administrators (including career executive service off.)
112
Legislative officials
113
Traditional chiefs and heads of villages
114
Senior officials of special-interest organization
121
Directors and chief executives of corporations
122
Production and operations managers
123
Specialized managers
131
General managers/managing-proprietors
141
School supervisors and principals
142
Transport and communications service supervisors
143
Production supervisors and general foremen
144
Sales supervisors in wholesale and retail trade
149
Other supervisors not elsewhere classified
211
Physicists, chemists and related professionals
212
Mathematicians, statisticians and related professionals
213
Computer professionals
214
Architects and related professionals
215
Engineers and related professionals
221
Life science professionals
222
Health professionals (except nursing)
223
Nursing and midwifery professionals
231
College, university and higher education teaching professionals
232
Technical, vocational and related instructors
233
Secondary education teaching professionals
234
Elementary education teaching professionals
235
Special education teaching professionals
239
Teaching professionals not elsewhere classified
241
Business professionals
242
Legal professionals
243
Librarians, archivists and curators
244
Social and related science professionals
245
Writers and creative or performing artists
246
Religious Professionals
311
Physical science and engineering technicians
312
Computer assistants and computer equipment controllers
313
Optical and electronic equipment controllers
314
Ship and aircraft controllers and technicians
315
Building, safety, health and quality inspectors
321
Life science technicians and related associated professionals
322
Health associate professionals (except nursing)
323
Nursing and midwifery associate professionals
324
Traditional medicine practitioners
330
Teaching associate professionals
341
Finance and sales associate professionals
342
Business services agents and trade brokers
343
Administrative associate professionals
344
Customs, taxation, licensing, welfare and related professionals
345
Police inspectors and detectives
346
Social work associate professionals
347
Artistic, entertainment and sports associate professionals
348
Religious associate professionals
411
Secretaries and keyboard-operating clerks
412
Numerical clerks
413
Material recording and transport clerks
414
Library, mail and related clerks
419
Other Office Clerks
421
Cashiers, tellers and related clerks
422
Client information clerks
511
Travel attendants and related workers
512
Housekeeping and restaurant services workers
513
Personal care and related workers
514
Astrologers, fortune-tellers and related worker
515
Other personal services workers
516
Protective services workers
521
Fashion and other models
522
Shop salespersons and demonstrators
523
Stall and market salespersons
611
Field crop farmers
612
Orchard farmers
613
Ornamental and other plant growers
621
Livestock and dairy farmers
622
Poultry farmers
629
Other animal raisers
631
Forest tree planters
632
Concessionaires and loggers
633
Charcoal makers and related workers
634
Minor forest products gatherers
641
Aqua-farm cultivators
642
Inland and coastal waters fishermen
643
Deep-sea fishermen
649
Fishermen not elsewhere classified
651
Hunters and trappers
659
Hunters and trappers not elsewhere classified
711
Miners, shotfirers, stone cutters and carvers
712
Building frame construction and related trades
713
Building construction finishers and related trades workers
714
Painters and related trades workers
721
Metal molders, welders, and sheet-metal workers
722
Blacksmiths, tool-makers and related trades workers
723
Machinery mechanics, fitters and related trades workers
724
Electricians, electrical and electronic equipment workers
731
Precision workers in metal and related material
732
Potters, glass-makers and related trades workers
733
Handicraft workers in wood, textile, leather and related material
734
Printing, binding and related trades workers
741
Food processing and related trades workers
742
Wood treaters, cabinet-makers and related trades workers
743
Textile, garment and related trades workers
744
Leather and shoemaking trades workers
811
Mining-and mineral-processing plant operators
812
Metal processing plant operators
813
Glass, ceramics and related plant operators
814
Wood-processing and papermaking plant operators
815
Chemical-processing plant operators
816
Power-production and related plant operators
817
Automated assembly-line and industrial robot operators
821
Metal and mineral products machine operators
822
Chemical products machine operators
823
Rubber and plastic products machine operators
824
Wood products machine operators
825
Textile and leather products machine operators
826
Food and related products machine operators
827
Assemblers
829
Other machine operators and assemblers
831
Locomotive-engine drivers and related workers
832
Motor vehicle drivers
833
Agricultural and other mobile-plant operators
834
Ship's deck crews and related workers
911
Market stall vendors, street vendors and related workers
912
Shoe cleaning and other street services elementary workers
913
Domestic helpers and cleaners and related workers
914
Building caretakers, window and related cleaners
915
Messengers, porters, doorkeepers and related workers
916
Garbage collectors and related laborers
921
Agricultural, forestry and fishery laborers
931
Mining and construction laborers
932
Manufacturing laborers
933
Transport laborers and freight handlers
950
New workers seeking employment
951
Experienced workers seeking reemployment
952
Workers reporting occupations unidentifiable
953
Workers not reporting any occupation
970
No occupation
998
Unknown
999
NIU (not in universe)
This variable indicates the person's usual activity/occupation during the past 12 months.
Work: Occupation Variables -- PERSON
IPUMS
Industry
Industry
Industry
Industry
Industry
For Persons 10 Years Old and Over
P26. In what kind of business or industry did [respondent] work during the past 12 months?
(Please see code book)
_ _ _
P26 Kind of business or industry
Industry refers to the nature or character of the business or enterprise or the place wherein the person works. Data on this provide information on the level and trend of industrialization and on important aspects of the country's potential for economic development.
For persons 10 years old and over with report of gainful usual activity/occupation in P25, ask the question in P26: "In what kind of business or industry didwork during the past twelve months?" However, for persons 10 years old and over who are non-gainful workers (housewife, students, retiree, disabled, etc.) and for those below 10 years old, leave P26 blank.
The entries in this column and in P25 should be consistent with each other. The business or industry should describe specifically and adequately the character and nature of business or industry or the place where the work is being performed in connection with the job or occupation, such as palay farm, sari-sari store, gold mine, leather shoe factory, rice mill, etc. Do not be satisfied with answers like firm names such as Soriano and Co., LM Enterprise, etc., since they do not necessarily describe the business or activity. Probe and try to elicit from the respondent information about the kind of product (if manufacturing firm) or the kind of service that the company is engaged in.
Moreover, if work is pursued in a big company that is engaged in several types of activities, report the nature of the particular activity of that company in which the person is working.
If work is for government office or institution, the name of the office, bureau, public school, etc. may be accepted. If work is for the executive branch of a local government, indicate whether provincial, city or municipal government.
Moreover, when the government office engages in services other than administrative such as education, communication, health, transportation, construction, etc., persons working in such office must be reported in their corresponding activity, such as railroad, airport, insurance, high school, highway construction, etc.
Below are examples of how some officials and employees of the government should be reported:
Usual occupation: Accounting clerk
Business or industry: Central bank
Usual occupation: Registered nurse
Business or industry: Puericulture center
Usual occupation: Market collector
Business or industry: Municipal government
Usual occupation: Bill collector
Business or industry: Waterworks (MWSS)
Usual occupation: Bulldozer operator
Business or industry: Road construction (DPWH)
Usual occupation: Stenographer
Business or industry: Provincial government
Distinction should be made between manufacturing and retailing in cases where an establishment engages in both activities. The entry in this column should be according to the part of the establishment in which the person works. Likewise, manufacturing should be differentiated from wholesaling.
Example:
A traveling salesman working for a distributor of soft drinks will have an entry of "soft drink distribution" for industry. A traveling salesman for a soft drink factory itself will have "soft drink factory" for industry.
You must distinguish between two kinds of business specializing in selling. A wholesale store sells primarily to retailers, while a retail store sells directly to consumers.
For a person conducting his business in his own house, report his business just as you are reporting a regular establishment, such as dressmaking or tailoring shop, radio repair shop, law office, dental clinic, etc.
If a person does not have a permanent job and usually pursues his usual occupation by working for several employers engaged in different kinds of business or industry like many farm and manual laborers, report the kind of business or industry in which he usually works longest during the past 12 months.
Industries which need special care in classification
In certain industries, the common titles are inadequate. Enter the specific kind of business or industry. Below are examples of industries for which special care must be taken:
Unacceptable entry: Agency
Acceptable entry: Real estate agency, travel agency, etc.
Unacceptable entry: Assembly plant
Acceptable entry: Motor vehicle assembly plant, motor/bicycle assembly plant, etc.
Unacceptable entry: Box factory
Acceptable entry: Paper box factory, wooden box factory, etc.
Unacceptable entry: Business
Acceptable entry: Wholesale/retail offish, dry goods/textiles retail, etc.
Unacceptable entry: Buying and selling
Acceptable entry: Egg wholesale, vegetable retail, etc.
Unacceptable entry: Canning factory
Acceptable entry: Fruit canning factory, fish canning factory, etc.
Unacceptable entry: Factory
Acceptable entry: Candy factory, soap factory, etc.
Unacceptable entry: Farm
Acceptable entry: Corn farm, sugar cane farm, etc.
Unacceptable entry: Fishing
Acceptable entry: Fishpond, lake or river fishing, deep-sea fishing, etc.
Unacceptable entry: Manufacturing
Acceptable entry: Manufacture of household appliances, garments, toys, etc.
Unacceptable entry: Mill
Acceptable entry: Rice or corn mill, flourmill, sugar mill, knitting mill, etc.
Unacceptable entry: Mining
Acceptable entry: Coal mine, gold mine, copper mine, etc.
Unacceptable entry: Office
Acceptable entry: Law office, life insurance company, savings or commercial bank, etc.
Unacceptable entry: Plant
Acceptable entry: Ice plant, electric power plant, etc.
Unacceptable entry: Private firm
Acceptable entry: Specify kind of business engaged in by firm
Unacceptable entry: Repair shop
Acceptable entry: Shoe repair shop, radio repair shop, auto repair shop, welding shop, etc.
Unacceptable entry: Shoe factory
Acceptable entry: Leather shoe factory, rubber shoe factory, wooden shoe factory, etc.
Unacceptable entry: Shop
Acceptable entry: Dress shop, beauty parlor, barber shop, etc.
Unacceptable entry: Store
Acceptable entry: Wholesale dry goods store, sari-sari store, etc.
Unacceptable entry: Textile
Acceptable entry: Knitting, weaving or spinning mill, etc.
Pay special attention to the preceding instructions because ambiguous reporting of the kind of business or industry will result in inappropriate or wrong codes and consequently affect the data on economic characteristics of the population.
Persons age 10+ who are working
NIU (not in universe)
1
Growing of crops
2
Farming of animals
3
Agricultural and animal husbandry service activities, except veterinary activities
4
Hunting, trapping and game propagation including related service activities
5
Forestry, logging and related service activities
6
Fishing: fishing
10
Metallic ore mining
11
Non-metallic mining and quarrying
15
Food products and beverages
16
Tobacco products
17
Textiles
18
Wearing apparel
19
Tanning and dressing of leather, manufacture of luggage and handbags and footwear
20
Wood, wood products and cork, except furniture
21
Paper and paper products
22
Publishing, printing and reproduction of recorded media
23
Coke, refined petroleum and other fuel products
24
Chemicals and chemical products
25
Rubber and plastic products
26
Other non-metallic mineral products
27
Basic metal
28
Fabricated metal products, except machinery and equipment
29
Machinery equipment, n.e.c.
30
Office, accounting and computing machinery
31
Electrical machinery and apparatus n.e.c.
32
Radio, television and communication equipment and apparatus
33
Medical, precision and optical instruments, watches and clocks
34
Motor vehicles, trailers and semi-trailers
35
Other transport equipment
36
Repair of furniture
37
Recycling
39
Manufacturing n.e.c.
40
Electricity and gas
41
Collection, purification and distribution of water
45
Construction
50
Sale, maintenance and repair of motor vehicles, retail sale of automotive fuel
51
Wholesale trade and commission trade, except motor vehicles
52
Retail trade, except motor vehicles, repair of personal and household goods
55
Hotels and restaurants
60
Land transport
61
Water transport
62
Air transport
63
Supporting and auxiliary transport activities
64
Postal and telecommunications services
65
Banking institutions
66
Non-bank financial intermediation
67
Insurance and pension funding, except compulsory social security
68
Activities auxiliary to financial intermediation
70
Real estate activities
71
Renting of machinery and equipment without operator
72
Computer and related activities
73
Research and development
74
Miscellaneous business activities
75
Public administration and defense
80
Public education services
81
Private education services
85
Health and social work
90
Sewage and refuse disposal, sanitation and similar activities
91
Activities of membership organizations n.e.c.
92
Recreational, cultural and sporting activities
93
Other service activities
95
Private households with employed persons
98
Extra-territorial organizations and bodies
99
Not stated
This variable indicates the kind of business or industry the person worked during the past 12 months for those who worked. It excludes students, housewives and retirees.
Work: Industry Variables -- PERSON
IPUMS
Class of worker
Class of worker
Class of worker
Class of worker
Class of worker
For Persons 10 Years Old and Over
P28. For whom or where did [respondent] work? (Please see code book)
_
P28 Class of worker
The question P28 is to be asked for those who were engaged in an economic activity in the past 12 months: "For whom or where does/did _______ work?"
The response to this question should refer to the usual occupation recorded in P25.
Possible responses are categorized into seven (7) classes of workers:
1. Worked for private household (Domestic Services). If a person worked in a private household for pay, in cash or in kind. Examples are family drivers, gardener, yaya, household help and other persons in domestic service.
2. Worked for private business/enterprise/farm. All employees in private firms and farms are classified here.
Other examples of this class of workers are:
Persons working in public works project on private contracts
Public transport drivers who do not own the vehicle but drive them on boundary basis
Dock hands or stevedores
Cargo handlers in public market, railroad stations or piers, etc.
Palay harvester getting fixed share of harvested palay, sacadas and other farm workers.
3. Worked for government/government corporations. All government employees would be classified here. Examples of this class of workers are:
Employees in national and local government offices, agencies and corporation
Filipinos working in embassies, legation, chancelleries or consulates of foreign government in the Philippines
Filipinos working in international organizations of Sovereign States of Government like the United Nations, World Health Organization, etc.
Chaplains in the Armed Forces of the Philippines.
4. Self-employed without any paid employee. If a person worked for profit or fees in own business, farm, profession or trade without any paid employee. Examples include vendors, professionals with own offices/clinics, workers who worked purely on commission basis and who have no regular working hours.
5. Employer in own farm or business. If a person, working in his own business, farm, profession or trade had one or more regular paid employees, including paid family members (code 6 below). Some cases worth noting:
Domestic helpers, family drivers and other household helpers who assist in the family operated business, regardless of time spent in this activity, are NOT hired employees in the enterprise/business; hence a farm or business proprietor who is assisted purely by such domestic help is not considered an employer.
A retail store operator who is wholly assisted in the operation of his/her store by unpaid relatives living with him/her and who employs carpenters to construct a building for his store (with store operator supervising the work) is not an employer. However, if this operator is also the owner or partner of a firm with paid construction workers and staff, and the reported industry in P26 is building construction, then he is an employer.
6. Worked with pay on own family-operated farm or business.
If a person worked in own family-operated farm or business and receives cash or a fixed share of the produce as payment for his services. Note that whenever there is a household member with this code, there should be a household member with code 5 for class of worker.
7. Worked without pay on own family-operated farm or business. If a member of the family worked without pay in a farm or business operated by another member living in the same household.
Persons age 10+ who are working
1
Worked for private household (domestic services)
2
Worked for private business/enterprise/farm
3
Worked for government/government corporation
4
Self-employed without any paid workers
5
Employer in own farm or business
6
Worked with pay in own-family operated farm/business
7
Worked without pay in own-family operated farm/business
8
Unknown
9
NIU (not in universe)
This variable indicates for whom or where the person worked in the last 12 months. It excludes students, housewives and retirees.
Work Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
Person weight
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
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
60
60
61
61
62
62
63
63
64
64
65
65
67
67
83
83
84
84
88
88
89
89
94
94
96
96
This variable indicates the population weight.
Technical Person Variables -- PERSON
IPUMS
Person weight
Person weight
Person weight
Person weight
Person weight
PERWT indicates the number of persons in the actual population represented by the person in the sample.
For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population.
NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.
Technical Person Variables -- PERSON
IPUMS
Disability status
Disability status
Disability status
Disability status
Disability status
NIU (not in universe)
1
Yes, disabled
2
No, not disabled
9
Unknown
DISABLED indicates whether the person reported a disability of any kind.
Disability Variables -- PERSON
IPUMS
Years of schooling
Years of schooling
Years of schooling
Years of schooling
Years of schooling
None or pre-school
1
1 year
2
2 years
3
3 years
4
4 years
5
5 years
6
6 years
7
7 years
8
8 years
9
9 years
10
10 years
11
11 years
12
12 years
13
13 years
14
14 years
15
15 years
16
16 years
17
17 years
18
18 years or more
90
Not specified
91
Some primary
92
Some technical after primary
93
Some secondary
94
Some tertiary
95
Adult literacy
96
Special education
97
Response suppressed
98
Unknown/missing
99
NIU (not in universe)
YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2.
Users should pay close attention to the top-codes in each sample, as discussed in the comparability section.
Education Variables -- PERSON
IPUMS
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
Migration status, 5 years
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
99
Unknown/missing
MIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available.
Migration Variables -- PERSON
IPUMS
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
Educational attainment, international recode [general version]
NIU (not in universe)
1
Less than primary completed
2
Primary completed
3
Secondary completed
4
University completed
9
Unknown
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
Education Variables -- PERSON
IPUMS
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
Educational attainment, international recode [detailed version]
NIU (not in universe)
100
Less than primary completed (n.s.)
110
No schooling
120
Some primary completed
130
Primary (4 yrs) completed
211
Primary (5 yrs) completed
212
Primary (6 yrs) completed
221
Lower secondary general completed
222
Lower secondary technical completed
311
Secondary, general track completed
312
Some college completed
320
Secondary or post-secondary technical completed
321
Secondary, technical track completed
322
Post-secondary technical education
400
University completed
999
Unknown/missing
EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary.
EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish.
Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN.
Education Variables -- PERSON
IPUMS
Religion [general version]
Religion [general version]
Religion [general version]
Religion [general version]
Religion [general version]
NIU (not in universe)
1
No religion
2
Buddhist
3
Hindu
4
Jewish
5
Muslim
6
Christian
7
Other
9
Unknown
RELIGION indicates the person's religion, including "none."
Ethnicity and Language Variables -- PERSON
IPUMS
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
Religion [detailed version]
NIU (not in universe)
1000
No religion
1001
Atheist
1002
Without religion
2000
Buddhist
3000
Hindu
4000
Jewish
5000
Muslim
5001
Khadrya
5002
Layenne
5003
Mouride
5004
Tidjane
5005
Ahmadis
5006
Sunni
5007
Shiek
5008
Other Muslim
6000
Christian
6001
Catholic (Roman or unspecified)
6002
Orthodox
6003
Protestant
6004
Evangelical protestant
6005
Pentacostal
6006
Adventist / Seventh-day adventist
6007
Anglican
6008
Assembly of God
6009
Baptist
6010
Church of the Nazarene
6011
Congregational
6012
Dutch Reformed
6013
Episcopalian
6014
Jehovah's Witnesses
6015
Latter Day Saints (Mormon)
6016
Lutheran
6017
Mennonite
6018
Methodist
6019
New Apostolic
6020
Presbyterian
6021
Zion Christian
6100
Other Christian, Austria
6101
Old Catholic
6102
Protestant, Augsburg confession
6103
Protestant, Westminster confession
6104
Protestant, Helvetic confession
6105
Greek Oriental
6106
Armenian Apostolic
6107
Other Protestant
6108
Christian Community for renewal
6109
Christian Community, not specified
6110
Other Christian, Brazil
6111
Christian Congregation of Brazil
6112
Brazilian Catholic Apostolic
6113
Brazil for Christ
6114
Foursquare Gospel
6115
Universal of the Kingdom of God
6116
House of the Blessing
6117
House of Prayer
6118
God is Love
6119
Maranata
6120
Other Christian, Brazil 1991
6121
Undetermined Protestant
6124
Other traditional Protestant
6125
Neo-Christian
6126
Other Neo-Christian
6127
Undetermined Christian
6128
Other Christian, Brazil 2000
6129
Other Catholic
6130
Renewed Evangelical Protestant without institutional ties
6131
Pentecostal Evangelical without institutional ties
6132
New Life Evangelical Protestant Pentecostal
6133
Evangelical Protestant Biblical Revival Pentecostal
6134
Chain Of Prayer Pentecostal
6135
Undetermined Evangelical Protestant
6136
Religion Of God
6137
Christian without institutional ties
6138
Other Christian, Canada
6139
Other Catholic
6140
United Church
6141
Protestant, not specified
6142
Other Protestant
6143
Other Christian, Germany
6144
Oriental Christian
6145
Other Christian, Ghana
6146
Other Christian, Iran
6147
Assyrian or Chaldean
6148
Armenian
6149
Other Christians
6150
Other Christian, Indonesia
6151
Other Christian
6152
Protestant/Other Christian
6153
Other Christian, Ireland
6154
Quaker
6155
Other Christian, Jamaica
6156
Brethren
6157
Church of God
6158
Church of God of Prophecy
6159
Other Church of God
6160
Moravian
6161
United Church
6162
Salvation Army
6163
New Testament
6164
Disciples of Christ
6165
Other Christian, Mexico
6166
Anabaptist
6167
Calvinist
6168
Cuaquera
6169
Disciples of Christ
6170
Christian Friendship Church
6171
Prayer House Church
6172
Faith Center
6173
Agape Force Church
6174
Alpha and Omega Church
6175
Living Water Church
6176
Apostolic Church
6177
Church of God
6178
Church of God of Prophecy
6179
Complete Gospel Church
6180
Evangelical Siblings Church
6181
Upper Room Church
6182
Pentacostal Indigenous Church
6183
Angular Stone Voice Church
6184
Pentacostal Missionary
6185
Christian
6186
Christian Societies
6187
Evangelical
6188
Evangelical Societies
6189
New Testament Evangelical
6190
Pentecostal
6191
Pentecostal Societies
6192
Independent Pentecostal
6193
Evangelical Christian Societies
6194
Pentecostal Christian Societies
6195
Evangelical Pentecostal Societies
6196
Evangelical Pentecostal Christian Societies
6197
Soldiers of Christ's Cross Church
6198
Tabernacle
6199
Traditionalists
6200
Other Evangelical Pentecostal Societies
6201
Pentecostal not clearly specified
6202
Living God, Light of the World
6203
Christian and Missionary Alliance
6204
Non-Pentecostal Apostolic
6205
Evangelical Associations
6206
Biblical
6207
Confraternities
6208
Christ Church
6209
Peace Grace and Misericordia Church
6210
Open Bible Church
6211
Holiness Church
6212
Evangelical Salem Church
6213
Beautiful Woman Dressed in the Sun
6214
Messianic Church
6215
Evangelical Ministers
6216
Evangelical Missionaries
6217
Evangelical Movements
6218
New Jerusalem
6219
World Vision Church
6220
Evangelical not clearly specified
6221
Biblical - non-evangelicals
6222
Other Christians not clearly specified
6223
Assumptionist
6224
Carmelite
6225
Claretian
6226
Conception Franciscan
6227
Maronite Diocese of Mexico
6228
Dominican
6229
Servants of Mary Immaculate
6230
Franciscan
6231
Guadalupan
6232
Daughters of the Immaculate Conception
6233
Jesuit
6234
Legionaries of Christ
6235
Divine Word Missionary
6236
Pauline
6237
Sacred Heart
6238
Saint Joseph of Tarbes
6239
Servant of the Lord and the Virgin
6240
Servant of Jesus
6241
Greek Catholic Church
6242
Reformed Roman Catholic Church
6243
Mexican National Catholic Church
6244
Tridentine Latin Rite Catholic Church
6245
Priestly Society Trento
6246
Mexican Catholic Union of Trento
6247
Anabaptist / Memnonite
6248
Anglican / Episcopal
6249
House of Prayer
6250
Center of Faith, Hope and Love of the Missionary Revival Crusade
6251
Center of Faith, Hope and Love Agape Force
6252
Salvation Army
6253
Independent Pentecostal Fellowship
6254
Upper Chamber Church
6255
Faith Apostolic Church of Jesus Christ
6256
Spiritual Christian Church
6257
Pentecostal Evangelical Christian Church
6258
Interdenominational Christian Church
6259
Church of God Full Gospel in Mexico
6260
Church of Jesus Christ on the Rock
6261
Christ Evangelical Pentecostal Church Rock of my Salvation
6262
Mexican Church of Christ's Gospel Pentecost
6263
United Pentecostal Church of Mexico
6264
Universal Church of the Kingdom of God
6265
Only Christ Savior Christian Church
6266
Independent Evangelical Pentecostal Movement
6267
Prince of Peace
6268
National Union of Evangelical Christian Churches (UNICE)
6269
Union of Independent Evangelical Churches
6270
Other associations Pentecostal
6271
Church of the Living God, Pillar and Support of Truth, the Light of the World
6272
Bible Church
6273
Interdenominational Christian Church in Mexico
6274
Church of Christ
6275
Honey Church of Christ
6276
Independent Evangelical Church in Mexico
6277
Renewed Church of Jesus Christ and the Apostles of Divine Love
6278
Other Christian and Evangelical associations without Pentecostal support
6279
Faith Christian Church
6280
Traditional Apostolic Catholic Holy Church Mexico-USA
6281
Mexican Apostolic Catholic Church
6282
Elias
6283
Spiritualistic
6284
Spiritualist
6285
Marian Trinitarian Spirituality
6286
Spirituality of the Third Age
6287
Christian Spiritual
6288
Judiciary Society Reign of Leonardo AlcalĆ” Leos
6289
Spirituality for the Divine Master and the purity of Mary
6290
Light and Hope
6291
Holy Spirit, Purity, Love and Light
6292
Christian Science
6293
Other Christian, Netherlands
6294
Reformed Churches in The Netherlands
6295
Other Reformed
6296
Other Christian, Nicaragua
6297
Moravian
6298
Other Christian, Philippines
6299
Aglipay
6300
Bible Christian Committees
6301
Born-again Christian
6302
Bread of Life Ministries
6303
Charismatic Full Gospel Ministries
6304
Christ the Living Stone Fellowship
6305
Christian and Missionary Alliance
6306
Christians Missions
6307
Church of Christ
6308
Evangelical Christian Outreach Foundation
6309
Evangelical Free Church
6310
Filipino Assemblies of the First Born Inc.
6311
Foursquare Gospel
6312
Free Believers in Christ Fellowship
6313
Free Mission in the Philippines Inc.
6314
God World Mission
6315
Good News Christian Churches
6316
IEMELIF Reform Movement
6317
Iglesia Evangelista Methodista en Las
6318
Iglesia ni Cristo
6319
Jesus Christ Saves Global Outreach
6320
Jesus is Lord Church
6321
Jesus Reigns Ministries
6322
Love of Christ International Ministries
6323
Other evangelical
6324
Other Evangelical Church
6325
Other Protestants
6326
Philippine Evangelical Mission
6327
Philippine Grace Gospel Fellowship
6328
Philippines Benevolent Missionaries
6329
Potter's House Christian Center
6330
Salvation Army Philippines
6331
Take the Nation for Jesus Global Ministries (Corpus Christi)
6332
UNIDA Evangelical Church
6333
United Church of Christ in the Philippines
6334
United Evangelical Church of the Philippines (Chinese)
6335
Victory Chapel Christian Fellowship
6336
Wesleyan Church
6337
World Missionary Evangelism
6338
Worldwide Church of God
6339
Zion Christian Community Church
6340
Other Christian, Portugal
6341
Other Christian, Romania
6342
Greek Catholic
6343
Reformed Church
6344
Evangelic of Augustan Confession
6345
Evangelic Synodo-Presbyterian
6346
Christian of Old Rite
6347
Christian by Gospel
6348
Evangelic
6349
Other Christian, Rwanda 2002
6350
Other Christian, Sierra Leone
6351
Other Christian, South Africa
6352
Reformed
6353
International Fellowship of Christian Churches
6354
Apostolic Faith Mission of SA
6355
Other Apostolic Churches
6356
Pinkster Protestant Church
6357
Afrikaanse Protestant Church
6358
Full Gospel Church of God in Southern Africa
6359
Pentecostal Churches
6360
Salvation Army
6361
Bandla Lama Nazaretha
6362
African Methodist Episcopal Church
6363
St John's Apostolic Church
6364
International Pentecost Church
6365
Ethiopian type churches
6366
Ethnic churches
6367
Other African Independent Churches
6368
Other Christian Churches
6369
Other Catholic Churches
6370
Other Pentecostal Churches
6371
Other Orthodox Churches
6372
Other African Apostolic churches
6373
Other Assemblies
6374
Christian Scientist
6375
Christian Centres
6376
Other Evangelical Churches
6377
Other Charismatic Churches
6378
Other Christian, Uganda
6379
Other Christian
6380
Other Christian, Saint Lucia
6381
Church of God
6382
Other Christian, Senegal
6383
Other Christian
6384
Other Christian, Switzerland
6385
Other protestant churches and communities
6386
Christ-Catholic church
6387
Other Christian communities
6388
Other Christian non-Catholic, Uruguay
6389
Other Christian, Fiji
6390
Christian undefined
6391
Church of England
6392
Gospel Hall and Brethern
6393
CMF (Every Home)
6394
Salvation Army
6395
All Nations Christian Fellowship
6396
Apostles Gospel Outreach Fellowship
6397
Christian Outreach Centre
6398
Other Christian, Brazil 2010
6399
Salvation Army
6400
Other Christian, Cameroon
6401
Other Christian, Armenia
6402
Armenia apostolic
6403
Nestorian
6404
Molokai
6406
Other Christian, Paraguay
6408
Christian Community
6409
Free Brothers
6410
Church of God
6411
Church of God of Prophecy
6412
New testament
6414
God is love
6415
Universal Church of the Kingdom of God
6416
People of God
6417
Family worship center
6418
Pseudo-Christian groups
6419
Other Christian, Paraguay
7000
Other
7001
Bahai
7002
Sikh
7003
Other, Austria
7004
Unification Church, Austria
7005
Other, Brazil
7006
Spiritist
7007
Kardecist Spiritist
7008
Afro Spiritist
7009
Mediumistic Spiritist
7010
Umbandist Mediumistic
7011
Candomblecist Mediumistic
7012
Other Afro-Brazilian
7013
Oriental, Brazil
7014
New Oriental
7015
Oriental Seicho No-le
7016
Other Oriental, Brazil
7017
Esoteric, Brazil
7018
Indigenous, Brazil
7019
Other minority groups, Brazil
7020
Other, Canada
7021
Eastern religions, Canada
7022
Other, Chile
7023
Theosophism
7024
Shintoism
7025
Other, Germany
7026
Other, Germany
7027
Other, Ghana
7028
Traditional, Ghana
7029
Other, Guinea
7030
Animist
7031
Other, Guinea
7032
Other, India
7033
Jainism
7034
Zoroastrianism
7035
Other, India
7036
Other, Indonesia
7037
Confucianism
7038
Other, Indonesia
7039
Other, Iran
7040
Zoroastrian
7041
Other, Iran
7042
Other, Jamaica
7043
Muslim/Hindu
7044
Rastafarian
7045
Other, Israel
7046
Druse
7047
Other, Israel
7048
Other, Malaysia
7049
Confucianism/Taoism
7050
Tribal/Folk religion, Malaysia
7051
Other, Mexico
7052
Brahmanism
7053
Hare Krishna
7054
Shintoism
7055
Taoism
7056
Mexican Movements
7057
Ananda Marga
7058
Church of Scientology
7059
Masons
7060
Raelian Movement
7061
New Age Movement
7062
Neoisraelites
7063
Occultists
7064
Palmar of Troya
7065
Rose Cross
7066
Theosophism
7067
Spiritualist Special Keys
7068
Onkaranada Center
7069
Confucianism
7070
Shia
7071
Universal Great Brotherhood
7072
Esoteric Science
7073
Gnosticism
7074
Metaphysics
7075
Wicca
7076
Shamanism
7077
The Custom
7078
Mexicayotl
7079
Restorative Confederate Movement of Anahuac Culture
7080
African Origin
7081
Rastafarians
7082
Indigenous Religions
7083
Growing in Grace
7084
Eckankar
7085
Transcendental Meditation
7086
Mission Branch
7087
Children of God
7088
Sri Sathya Sai Baba
7089
Other new religious movements
7090
Other, Philippines
7091
Door of Faith
7092
Faith Tabernacle Church (Living Rock Ministries)
7093
International One Way Outreach
7094
Miracle Life Fellowship International
7095
Miracle Revival Church of the Philippines
7096
Philippine Good News Ministries
7097
Philippine Missionary fellowship
7098
Things to Come
7099
Way of Salvation
7100
Word of the World
7101
Tribal Religions, Philippines
7102
Other, Romania
7103
Unitarian
7104
Armenian
7105
Mosaic
7106
Other, Romania
7107
Other, Rwanda
7108
Traditional religion, Rwanda
7109
Other, Rwanda
7110
Other, Sierra Leone
7111
Traditional religion, Sierra Leone
7112
Other, South Africa
7113
African traditional belief
7114
Taoist
7115
Confucian
7116
New Age
7117
Other non-Christian, S. Africa
7118
Other, Uganda
7119
Traditional religion
7120
Other non-Christian, Uganda
7121
Other, United Kindom
7122
Other, Vietnam
7123
Hoa Hoa
7124
Cao Dai
7125
Other, Nepal
7126
Kirat
7127
Jain
7128
Garaute
7129
Tap jura
7130
Other, Pakistan
7131
Ahmadi
7132
Parsi
7133
Scheduled caste
7134
Other, Saint Lucia
7135
Rastafarian
7136
Other, Thailand
7137
Confucian
7138
Other, Uruguay
7139
Umbanda/other Afro-American
7140
Other, Uruguay
7141
Other, Burkina Faso
7142
Animist
7143
Other, Fiji
7144
Confucian
7145
Kabir Panthi
7146
Satya Sai Baba
7147
Bahai
7148
Other non-Christian, Fiji
7149
Other, Haiti
7150
Voodoo
7151
Other, Cameroon
7152
Animist
7153
Other, Liberia
7154
Traditional
7155
Other, Mali
7156
Animist
7157
Other, Nigeria
7158
Traditional
7159
Other, Armenia
7160
Pagan
7161
Shar-fadinian
7162
Other, Ethiopia
7163
Traditional
7164
Other, Ethiopia
7165
Other, Paraguay
7166
Philosophical revelations
7167
Indigenous religion
7168
Reyukai
7169
Other, Paraguay
7900
Other, not elsewhere classified
9999
Unknown
RELIGION indicates the person's religion, including "none."
Ethnicity and Language Variables -- PERSON
IPUMS
Ethnicity, Philippines
Ethnicity, Philippines
Ethnicity, Philippines
Ethnicity, Philippines
Ethnicity, Philippines
1
Abelling
2
Abiyan
3
Aburin
4
Aeta/Ayta
5
Aggay
6
Agta
7
Agutaynon/Agutayanon
8
Akeanon/Alanon
9
Alangan
10
Apayao/Yapayao
11
Applai
12
Atta/Ata/Ati
13
Ayangan
14
Badjao, Sama Dilaut
15
Bagobo/Guinga
16
Balangao/Baliwon
17
Bantoanon
18
Banwaon
19
Batak/Binatak
20
Batangan
21
Bikol/Bicol
22
Bilaan/B'laan
23
Binukid/Bukidnon
24
Bisaya/Binisaya
25
Boholano
26
Bolinao
27
Bontok/Binontok
28
Bugkalot
29
Buhid
30
Butuanon
31
Capizeno
32
Caviteno
33
Caviteno-Chavacano
34
Cebuano
35
Cimaron
36
Cotabateno
37
Cotabateno-Chavacano
38
Cuyunon/Cuyunan
39
Dava-Chavacano
40
Davaweno
41
Dibabawon
42
Dumagat/Dumagat(Umiray)
43
Gaddang
44
Gubatnon
45
Hamtikanon
46
Hanunuo
47
Higaonon
48
Hiligaynon, Ilongo
49
Ibaloi/Inibaloi
50
Ibanag
51
Ibontoc
52
Ifugao
53
Ikalahan/Kalanguya
54
Ilanun/Llanuan
55
Ilocano
56
Ilongot
57
Iranon
58
Iraya
59
Isamal Kanlaw
60
Isarog
61
Isinay
62
Isnag
63
Isneg
64
Itawis
65
Itawit
66
Itneg
67
Ivatan/Itbayat
68
Iwak/I'wa/Owak
69
Iyapplai
70
iyiwaks
71
Jama Mapun
72
Kaagan
74
Kagayanen
75
Kalagan
76
Kalamianen
77
Kalinga
78
Kamayo
79
Kamigin/Kinamiging
80
Kankanai/Kankaney
81
Kapampangan
82
Kapul
83
Karaga
84
Karao
85
Karay-a
87
Kasigurahin
88
Kinalinga
89
Kiniray-a
90
Kolibugan/Kalibugan
91
Ligbuk/Lugbok
92
Maguindanao
93
Malaueg
95
Mamanwa
96
Mandaya
97
Mangyan
98
Manobo/Ata-Manobo
99
Mansaka
100
Maranao
101
Masbateno/Masbatenon
102
Matigsalog
103
Molbog
104
Negrito
106
Palawan/Pinalawan/Palawanon
107
Pangasinan/Panggalato
108
Paranan
110
Ratagnon
111
Remontado
112
Romblon/Rombloanon
113
Sama (Sama Bangengeh
114
Sama (Samal)/Abaknon
115
Sama Dilaya
116
Sambal, Zambal
117
Sangil, Sangir
118
Subanen (Sicon,Zambo. Norte)/Subaben (Zambo. Norte and Sur)
119
Sulod
120
Surigaonon
121
Tabangnon
122
Tadyawan
123
Tagabawa
125
Tagakaolo
126
Tagalog
127
Tagbanwa
129
Talaandig
130
Tausog
131
T'boli
132
Teduray
133
TernateƱo-Chavacano
134
Tigwahon/Tigwahanon
135
Tinggian
136
Tiruray
137
Tuwali
138
Ubo
139
Umayamnon
140
Waray
141
Yakan
142
Yogad
143
Zambageno-Chavacano
144
Other local dialects/ethnicity
201
American/English
202
Chinese
203
Other foreign languages/ethnicities
998
Response suppressed
999
Unknown/missing
ETHNICPH indicates the ethnicity of an individual: the group to which the person traces their family ties by blood.
Ethnicity and Language Variables -- PERSON
IPUMS
Speaks English
Speaks English
Speaks English
Speaks English
Speaks English
1
Yes
2
No
8
Unknown
9
NIU (not in universe)
SPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy.
Ethnicity and Language Variables -- PERSON
IPUMS
Speaks Filipino
Speaks Filipino
Speaks Filipino
Speaks Filipino
Speaks Filipino
1
Yes
2
No
9
NIU (not in universe)
SPEAKFIL indicates whether the respondent could speak Filipino. The person must be able to communicate in Tagalog, even if with a very limited vocabulary.
Ethnicity and Language Variables -- PERSON
IPUMS
Country of birth
Country of birth
Country of birth
Country of birth
Country of birth
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11051
Ethiopia (including Eritrea)
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11990
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12990
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13011
Algeria/Tunisia
13020
Egypt
13021
Egypt/Sudan
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13990
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14990
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15021
Upper Volta
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15081
Guinea-Bissau and Cape Verde
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15990
West Africa, n.s.
19990
Africa, other and n.s.
19991
Central and South Africa
19992
East and Central Africa
19993
Southeastern Africa
19994
Saharan Africa
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St Thomas
21240
St. Vincent
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21990
Other Caribbean and n.s.
21991
Caribbean commonwealth, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22990
Central America, n.s.
22991
Central America and Caribbean
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23990
South America, other and n.s.
23991
South America or Central America, n.s.
23992
Central/South America and Caribbean
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24990
North America, other and n.s.
24991
North America/Oceania
29990
Americas, other and n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
31990
Eastern Asia, n.s.
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32041
India/Pakistan
32042
India/Pakistan/Bangladesh/Sri Lanka
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32101
Pakistan/Bangladesh
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
32999
South-Central Asia, n.s.
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33030
East Timor
33040
Indonesia
33050
Laos
33060
Malaysia
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
33990
South-Eastern Asia, n.s.
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34071
Israel/Palestine
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestinian Territories
34111
West Bank
34112
Gaza Strip
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34151
Syria/Lebanon
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34990
Western Asia, n.s.
34991
Middle East
39990
Asia, other and n.s.
39991
Central Asia and Middle East, n.s.
39992
Far East, n.s.
39993
Eastern/Southeast Asia, n.s.
39994
Asia/Middle East, other and n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41021
Bulgaria/Greece
41030
Czech Republic/Czechoslovakia
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41990
Eastern Europe, other and n.s.
41991
Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia
41992
Central-Eastern Europe
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42100
Svalbard and Jan Mayen Islands
42110
Sweden
42120
United Kingdom
42990
Northern Europe, n.s.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia and Herzegovina
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43071
Vatican City
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43121
Spain/Portugal
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43143
Serbia and Montenegro
43144
Kosovo
43990
Southern Europe, n.s.
43991
Gibraltar/Malta
43992
Portugal/Greece
43993
Italy, Holy See, San Marino
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxemburg
44022
Belgium/Netherlands/Luxemburg
44030
France
44040
Germany
44041
Germany/Austria
44042
West Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44990
Western Europe, n.s.
44991
Belgium, Denmark, Luxembourg, Netherlands
49991
Turkey and U.S.S.R.
49992
European Union
49993
European Union (Original 15)
49994
Other European Union
49995
EEA, Switzerland, associated microstates
49999
Europe, other and n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
52999
Melanesia, n.s.
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53990
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Eastern Samoa
54070
Tokelau
54080
Tonga
54090
Tuvalu
54100
Wallis and Futuna Isls.
54990
Polynesia, n.s.
55000
U.S. Pacific Possessions
55010
American Samoa
55020
Baker Island
55030
Guam
55040
Howland Island
55050
Johnston Atoll
55060
Kingman Reef
55070
Midway Islands
55080
Wake Island
55990
Other US Pacific
59990
Oceania, n.s.
60000
OTHER ABROAD
60100
U.S. Outlying Areas and Territories
60200
Africa/Other
60300
Central/South America or Africa
60400
Asia/Africa
60500
Europe, Australia, New Zealand
60600
Other commonwealth
60700
Asia, Australia, Oceania, n.s.
69900
Other countries, not specified
99999
Unknown
BPLCOUNTRY indicates the person's country of birth.
Nativity and Birthplace Variables -- PERSON
IPUMS
Migration status, 10years
Migration status, 10years
Migration status, 10years
Migration status, 10years
Migration status, 10years
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same minor administrative unit, same house
13
Same minor administrative unit, different house
14
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
99
Unknown/missing
MIGRATE0 indicates the person's place of residence 10 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available.
Migration Variables -- PERSON
IPUMS
Nativity status
Nativity status
Nativity status
Nativity status
Nativity status
NIU (not universe)
1
Native-born
2
Foreign-born
9
Unknown/missing
NATIVITY indicates whether the person was native- or foreign-born.
Nativity and Birthplace Variables -- PERSON
IPUMS
Year [person version]
Year [person version]
Year [person version]
Year [person version]
Year [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
IPUMS sample identifier [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
Household serial number [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
Country [person version]
Country [person version]
Country [person version]
Country [person version]
Country [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
Record type [person version]
[This file is just a placeholder. See the household version of the variable.]
Technical Person Variables -- PERSON
IPUMS