Extended National Survey of Homes (ENHA) 2006 - IPUMS Subset
Uruguay, 2006
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Reference ID
URY_2006_PHC_v01_M_v03_A_IPUMS
Producer(s)
National Institute of Statistics, Minnesota Population Center
Collection(s)
Metadata
Created on
Sep 24, 2014
Last modified
Apr 26, 2018
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Identification
Survey ID Number
URY_2006_PHC_v01_M_v03_A_IPUMS
Title
Extended National Survey of Homes (ENHA) 2006 - IPUMS Subset
Country/Economy
| Name | Country code |
|---|---|
| Uruguay | URY |
Study type
Population and Housing Census [hh/popcen]
Abstract
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]
Unit of Analysis
Private home and person
UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: No
UNIT DESCRIPTIONS:
- Dwellings: Any room or set of rooms and their components that occupy a building or a structurally separate section of the building that, due to construction of modification, is intended for human habitation and is not being used for any other purpose at the time of enumeration.
- Households: A person or group of people that live under the same roof and share a common food budget. Typically, these people pool their income to create a common fund for food and other necessities, and share use of durable or non-durable goods. Generally, the household members are linked by family ties, but it is not necessary that the members be related in order to comply with the definition of the household. A household can also be constituted by a single person.
UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: No
UNIT DESCRIPTIONS:
- Dwellings: Any room or set of rooms and their components that occupy a building or a structurally separate section of the building that, due to construction of modification, is intended for human habitation and is not being used for any other purpose at the time of enumeration.
- Households: A person or group of people that live under the same roof and share a common food budget. Typically, these people pool their income to create a common fund for food and other necessities, and share use of durable or non-durable goods. Generally, the household members are linked by family ties, but it is not necessary that the members be related in order to comply with the definition of the household. A household can also be constituted by a single person.
Version
Version Description
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 | Vocabulary |
|---|---|
| Technical Household Variables -- HOUSEHOLD | IPUMS |
| Group Quarters Variables -- HOUSEHOLD | IPUMS |
| Household Economic Variables -- HOUSEHOLD | IPUMS |
| Utilities Variables -- HOUSEHOLD | IPUMS |
| Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD | IPUMS |
| Dwelling Characteristics Variables -- HOUSEHOLD | IPUMS |
| Constructed Household Variables -- HOUSEHOLD | IPUMS |
| Technical Person Variables -- PERSON | IPUMS |
| Constructed Family Interrelationship Variables -- PERSON | IPUMS |
| Demographic Variables -- PERSON | IPUMS |
| Geography: Global Variables -- HOUSEHOLD | IPUMS |
| Migration Variables -- PERSON | IPUMS |
| Fertility and Mortality Variables -- PERSON | IPUMS |
| Ethnicity and Language Variables -- PERSON | IPUMS |
| Work Variables -- PERSON | IPUMS |
| Nativity and Birthplace Variables -- PERSON | IPUMS |
| Disability Variables -- PERSON | IPUMS |
| Education Variables -- PERSON | IPUMS |
| Income Variables -- PERSON | IPUMS |
| Geography: M-Z Variables -- HOUSEHOLD | IPUMS |
| Other Household Variables -- HOUSEHOLD | IPUMS |
| Other Person Variables -- PERSON | IPUMS |
| Work: Occupation Variables -- PERSON | IPUMS |
| Work: Industry Variables -- PERSON | IPUMS |
Coverage
Geographic Coverage
National coverage
Universe
Resident population in private housing
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Institute of Statistics | |
| Minnesota Population Center | University of Minnesota |
Sampling
Sampling Procedure
MICRODATA SOURCE: National Institute of Statistics
SAMPLE DESIGN: Probability sample, stratified with ideal allocation for the index of average comfort variable (proxy variable of the income of the homes) for the subpopulations of reference. The sample is selected in 3 phases: locality, census zone, and private dwelling. The sample is independent month by month.
SAMPLE UNIT: Dwelling
SAMPLE FRACTION: 8.4%
SAMPLE SIZE (person records): 256,866
SAMPLE DESIGN: Probability sample, stratified with ideal allocation for the index of average comfort variable (proxy variable of the income of the homes) for the subpopulations of reference. The sample is selected in 3 phases: locality, census zone, and private dwelling. The sample is independent month by month.
SAMPLE UNIT: Dwelling
SAMPLE FRACTION: 8.4%
SAMPLE SIZE (person records): 256,866
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2006-01-01 | 2006-12-31 |
Time periods
| Start date | End date |
|---|---|
| 2006 | 2006 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Personal Interview
Data Collection Notes
De jure, CENSUS DAY: N/A, FIELD WORK PERIOD: Year 2006
Questionnaires
Questionnaires
Single Questionnaire with trimester thematic modules
Access policy
Contacts
| Name |
|---|
| National Institute of Statistics |
Confidentiality
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:
Uruguay, National Institute of Statistics, Extended National Survey of Homes (ENHA)
The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.
Copies of such materials are also gratefully received at ipums@umn.edu.
Printed matter should be sent to:
IPUMS-International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455
Researchers should also acknowledge the statistical agency that originally produced the data:
Uruguay, National Institute of Statistics, Extended National Survey of Homes (ENHA)
The licensing agreement for use of IPUMS-International data requires that users supply IPUMS-International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation.
Copies of such materials are also gratefully received at ipums@umn.edu.
Printed matter should be sent to:
IPUMS-International
Minnesota Population Center
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455
Access authority
| Name | Affiliation | URL |
|---|---|---|
| IPUMS International | Minnesota Population Center | Link |
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 2006, National Institute of Statistics and Minnesota Population Center
Metadata production
DDI Document ID
DDI_URY_2006_PHC_v01_M_v03_A_IPUMS
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Minnesota Population Center | MPC | University of Minnesota | Integration Harmonization Documentation |
Date of Metadata Production
2016-04-25
DDI Document 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)