Uganda Population and Housing Census (with agricultural module) 2002 - IPUMS Subset
Uganda, 2002
Uganda Bureau of Statistics, Minnesota Population Center
Last modified
April 26, 2018
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Metadata
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Identification
IDNO
UGA_2002_PHC_v01_M_v03_A_IPUMS
Title
Uganda Population and Housing Census (with agricultural module) 2002 - IPUMS Subset
Countries
| Name | Code |
|---|---|
| Uganda | UGA |
Study notes
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.
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.
Kind of data
Census/enumeration data [cen]
Version
Version
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 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.
Version date
2016-04-25
Scope
Topics
| Topic | Vocab |
|---|---|
| Technical Household Variables -- HOUSEHOLD | IPUMS |
| Group Quarters Variables -- HOUSEHOLD | IPUMS |
| Geography: Global Variables -- HOUSEHOLD | IPUMS |
| Household Economic Variables -- HOUSEHOLD | IPUMS |
| Utilities Variables -- HOUSEHOLD | IPUMS |
| Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD | IPUMS |
| Dwelling Characteristics Variables -- HOUSEHOLD | IPUMS |
| Other Household Variables -- HOUSEHOLD | IPUMS |
| Constructed Household Variables -- HOUSEHOLD | IPUMS |
| Technical Person Variables -- PERSON | IPUMS |
| Constructed Family Interrelationship Variables -- PERSON | IPUMS |
| Demographic Variables -- PERSON | IPUMS |
| Fertility and Mortality Variables -- PERSON | IPUMS |
| Nativity and Birthplace Variables -- PERSON | IPUMS |
| Education Variables -- PERSON | IPUMS |
| Work Variables -- PERSON | IPUMS |
| Migration Variables -- PERSON | IPUMS |
| Disability Variables -- PERSON | IPUMS |
| Geography: M-Z Variables -- HOUSEHOLD | IPUMS |
| Household Imputation Flags Variables -- HOUSEHOLD | IPUMS |
| Ethnicity and Language Variables -- PERSON | IPUMS |
| Work: Industry Variables -- PERSON | IPUMS |
| Work: Occupation Variables -- PERSON | IPUMS |
| Other Person Variables -- PERSON | IPUMS |
| Person Imputation Flags Variables -- PERSON | IPUMS |
Coverage
Geographic coverage
National coverage
Geographic unit
County
Unit of analysis
Households
UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
- Special populations: Yes - homeless
UNIT DESCRIPTIONS:
- Dwellings: A dwelling unit is the unit actually occupied by the household.
- Households: A household is defined as a group of persons who normally eat and live together. If a man has two or more wives and they and their children live and eat together, they form one household.
- Group quarters: Sometimes groups of people live together but cannot be said to belong to a household. Persons in hospitals, colleges, barracks and prisons are examples.
UNITS IDENTIFIED:
- Dwellings: Yes
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: Yes
- Special populations: Yes - homeless
UNIT DESCRIPTIONS:
- Dwellings: A dwelling unit is the unit actually occupied by the household.
- Households: A household is defined as a group of persons who normally eat and live together. If a man has two or more wives and they and their children live and eat together, they form one household.
- Group quarters: Sometimes groups of people live together but cannot be said to belong to a household. Persons in hospitals, colleges, barracks and prisons are examples.
Universe
All persons who are in Uganda the night of the census, regardless of their nationality.
Producers and sponsors
Authoring entity
| Name | Affiliation |
|---|---|
| Uganda Bureau of Statistics | |
| Minnesota Population Center | University of Minnesota |
Sampling
Sampling procedure
SAMPLE DESIGN: A 10% systematic sample of questionnaire records (households and institutions) was taken. These could have been households or institutions. A uniform weight of 10 should thus be attached to each record and the resultant population will 99.98% of the non-sample population.
SAMPLE UNIT: Questionnaire record
SAMPLE FRACTION: 10%
SAMPLE SIZE (person records): 2,497,449
SAMPLE UNIT: Questionnaire record
SAMPLE FRACTION: 10%
SAMPLE SIZE (person records): 2,497,449
Weighting
Self-weighting (expansion factor=10)
Data Collection
Dates of collection
| Start | End |
|---|---|
| 2002-09-12 | 2002-09-26 |
Time period(s)
| Start | End |
|---|---|
| 2002-09-12 | 2002-09-12 |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
Face to face interview
Questionnaires
Unique census questionnaire (no specific name)
Data access
Access authorities
| Name | Affiliation | URI |
|---|---|---|
| IPUMS International | Minnesota Population Center | http://international.ipums.org |
metadata.study_desc.data_access.dataset_use.conf_dec
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.
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
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:
Uganda, Uganda Bureau of Statistics, 2002 Uganda Population and Housing Census (with agricultural module)
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
Researchers should also acknowledge the statistical agency that originally produced the data:
Uganda, Uganda Bureau of Statistics, 2002 Uganda Population and Housing Census (with agricultural module)
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.
Copyrights
(c) Copyright 2002, Uganda Bureau of Statistics and Minnesota Population Center
Contacts
Contact(s)
| Name |
|---|
| Uganda Bureau of Statistics |
Metadata production
IDNo
DDI_UGA_2002_PHC_v01_M_v03_A_IPUMS
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Minnesota Population Center | MPC | University of Minnesota | Integration Harmonization Documentation |
Production date
2016-04-25
Version
- Version 03 (April 2018). This version is identical to version 6.4 (April 2016), except for the DDI Document ID and ID Number which were updated.
Documentation of census data and harmonized variables as found in IPUMS-International. The International Household Survey Network (IHSN) contracted IPUMS International for generating DDI and Dublin Core-compliant metadata related to population and housing census datasets from developing countries. The objective was to provide countries with detailed metadata in a format compatible with the DDI standard used by most of these countries, with a view to guarantee the preservation of the data and metadata, and the publishing of metadata.
The intellectual rights (including copyright) for the data and metadata in IPUMS are retained by the countries under a Memorandum of Understanding with the contributing countries. IPUMS-International has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
Fields edited by the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changes included in version 6.4.
Previous version documented in the World Bank Microdata Library:
- v6.3 (August 2014)
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)