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ipums

2010 Census of Population and Housing - IPUMS Subset

Philippines, 2010
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Reference ID
PHL_2010_PHC_v01_M_v7.6_A_IPUMS
Producer(s)
Philippine Statistics Authority, IPUMS
Collection(s)
Integrated Public Use Microdata Series (IPUMS)
Metadata
DDI/XML JSON
Created on
Aug 01, 2025
Last modified
Jun 29, 2026
Page views
24920
  • Study Description
  • Data Description
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    PHL_2010_PHC_v01_M_v7.6_A_IPUMS

    Title

    2010 Census of Population and Housing - IPUMS Subset

    Abbreviation or Acronym

    PHC ph2010a (IPUMS Harmonized Subset)

    Country/Economy
    Name Country code
    Philippines PHL
    Study type

    Population and Housing Census [hh/popcen] IPUMS International

    Series Information

    DOI:10.18128/D020.V7.6

    Kind of Data

    Population and Housing Census [hh/popcen]

    Unit of Analysis

    Persons, households, and dwellings

    UNITS IDENTIFIED:

    • Dwellings: yes
    • Vacant Units: No
    • Households: yes
    • Individuals: yes
    • Group quarters: no

    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 which are not intended for habitation, such as commercial, industrial, and agricultural buildings, or natural and man-made shelters such as caves, boats, abandoned trucks, culverts, and others, but which are 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 sleep in the same housing unit and have a common arrangement in the preparation and consumption of food.
    • Group quarters: Institutional living quarter (ILQ) is a structurally separate and independent place of abode intended for habitation by large groups of individuals (10 or more). Such a quarter usually has certain common facilities such as kitchen and dining rooms, toilet and bath, and lounging areas, which are shared by the occupants. The occupants of an ILQ are usually subject to a common authority or management or are bound by either a common public objective or a common personal interest.

    Version

    Version Description

    Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database.

    Version Date

    2025-05-09

    Scope

    Notes

    Additional notes on a sample that is part of this study: Philippines 2010

    Topics
    Topic Vocabulary
    Demographic Variables -- PERSON IPUMS
    Dwelling Characteristics Variables -- HOUSEHOLD IPUMS
    Geography: Global Variables -- HOUSEHOLD IPUMS
    Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD IPUMS
    Fertility and Mortality Variables -- PERSON IPUMS
    Nativity and Birthplace Variables -- PERSON IPUMS
    Utilities Variables -- HOUSEHOLD IPUMS
    Work Variables -- PERSON IPUMS
    Technical Household Variables -- HOUSEHOLD IPUMS
    Disability Variables -- PERSON IPUMS
    Education Variables -- PERSON IPUMS
    Constructed Family Interrelationship Variables -- PERSON IPUMS
    Ethnicity and Language Variables -- PERSON IPUMS
    Geography: O-Z Variables -- HOUSEHOLD IPUMS
    Migration: Global Variables -- PERSON IPUMS
    Group Quarters Variables -- HOUSEHOLD IPUMS
    Constructed Household Variables -- HOUSEHOLD IPUMS
    Household Economic Variables -- HOUSEHOLD IPUMS
    Other Household Variables -- HOUSEHOLD IPUMS
    Migration: O-Z Variables -- PERSON IPUMS
    Technical Person Variables -- PERSON IPUMS
    Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD IPUMS
    Dwelling Characteristics Variables -- HOUSEHOLD IPUMS
    Utilities Variables -- HOUSEHOLD IPUMS
    Technical Household Variables -- HOUSEHOLD IPUMS
    Constructed Family Interrelationship Variables -- PERSON IPUMS
    Education Variables -- PERSON IPUMS
    Technical Person Variables -- PERSON IPUMS
    Geography: O-Z Variables -- HOUSEHOLD IPUMS
    Group Quarters Variables -- HOUSEHOLD IPUMS
    Household Economic Variables -- HOUSEHOLD IPUMS
    Other Household Variables -- HOUSEHOLD IPUMS
    Geography: Global Variables -- HOUSEHOLD IPUMS
    Demographic Variables -- PERSON IPUMS
    Other Person Variables -- PERSON IPUMS
    Ethnicity and Language Variables -- PERSON IPUMS
    Nativity and Birthplace Variables -- PERSON IPUMS
    Disability Variables -- PERSON IPUMS
    Migration: Global Variables -- PERSON IPUMS
    Work: Occupation Variables -- PERSON IPUMS
    Work: Industry Variables -- PERSON IPUMS
    Work Variables -- PERSON IPUMS
    Fertility and Mortality Variables -- PERSON IPUMS
    Technical Person Variables -- PERSON IPUMS

    Coverage

    Geographic Unit

    Municipality

    Universe

    All residents of the country at the time of the census

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Philippine Statistics Authority
    IPUMS University of Minnesota

    Sampling

    Sampling Procedure

    MICRODATA SOURCE: Philippine Statistics Authority

    SAMPLE SIZE (person records): 9411256.

    SAMPLE DESIGN: Systematic sample of every second household that received the long (sample) questionnaire, drawn by IPUMS

    Weighting

    Weights computed by census office

    Survey instrument

    Questionnaires

    Separate short and long household forms. A systematic cluster sample design was used, with 20% of households in large municipalities and 100% of households in small municipalities receiving the long form.

    Data collection

    Dates of Data Collection
    Start End
    2010-05-01 2010-05-01
    Time periods
    Start date End date
    2010-05-01 2010-05-01
    Mode of data collection
    • Face-to-face [f2f]
    Data Collection Notes

    de jure, CENSUS DAY: May 1, 2010

    Data Access

    Access authority
    Name
    Philippine Statistics Authority
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes 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.
    Access conditions

    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.

    Citation requirements

    Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6

    Researchers should also acknowledge the statistical agency that originally produced the data: Philippines, Philippine Statistics Authority. 2010 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

    Disclaimer and copyrights

    Disclaimer

    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.

    Copyright

    (c) Copyright 2010, Philippine Statistics Authority and Minnesota Population Center

    Contacts

    Contacts
    Name
    Philippine Statistics Authority

    Metadata production

    DDI Document ID

    DDI_PHL_2010_PHC_v01_M_v7.6_A_IPUMS

    Producers
    Name Abbreviation Affiliation Role
    IPUMS IPUMS University of Minnesota Integration Harmonization Documentation
    Date of Metadata Production

    April 1, 2025

    Metadata version

    DDI Document version

    Version 7.6 October 2025 : NEW FEATURES.

    --NO "new features" listed in Revision History

    NEW SAMPLES.

    --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries.
    --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS.

    SUPPLEMENTAL DATA.

    --No "supplemental data" listed in revision history

    NEW VARIABLES.

    --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml).
    --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf).

    EDITED SAMPLES.

    --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL.

    EDITED VARIABLES.

    --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren.
    --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)".
    --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007.
    --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999).
    --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample.
    --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born.
    --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status.
    --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007.
    --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all".
    --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence.

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