General Household Survey 2009 - IPUMS Subset
Nigeria, 2010
Get MicrodataIdentification
NGA_2009_GHS_v01_M_v02_A_IPUMS
General Household Survey 2009 - IPUMS Subset
| Name | Country code |
|---|---|
| Nigeria | NGA |
Population and Housing Census [hh/popcen]
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.
Census/enumeration data [cen]
Households and persons
UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: No
- Special populations: No
UNIT DESCRIPTIONS:
- Households: A household consists of a person or a group of persons living together under the same roof or in the same building/compound, who eat from the same pot and recognize themselves as a unit.
- Group quarters: A housing unit occupied largely by persons not related by blood. Examples include school hostels where children from different parents live during the school session, hotels where travelers and holidaymakers or people on business stay for a short period of time. Institutional housing units usually contain more rooms than residential buildings.
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.
2016-04-25
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>.
Scope
UNITS IDENTIFIED:
- Dwellings: No
- Vacant units: No
- Households: Yes
- Individuals: Yes
- Group quarters: No
- Special populations: No
UNIT DESCRIPTIONS:
- Households: A household consists of a person or a group of persons living together under the same roof or in the same building/compound, who eat from the same pot and recognize themselves as a unit.
- Group quarters: A housing unit occupied largely by persons not related by blood. Examples include school hostels where children from different parents live during the school session, hotels where travelers and holidaymakers or people on business stay for a short period of time. Institutional housing units usually contain more rooms than residential buildings.
| Topic | Vocabulary |
|---|---|
| Technical Household Variables -- HOUSEHOLD | IPUMS |
| Technical Person Variables -- PERSON | IPUMS |
| Geography: Global Variables -- HOUSEHOLD | IPUMS |
| Utilities Variables -- HOUSEHOLD | IPUMS |
| Dwelling Characteristics Variables -- HOUSEHOLD | IPUMS |
| Other Household Variables -- HOUSEHOLD | IPUMS |
| Demographic Variables -- PERSON | IPUMS |
| Education Variables -- PERSON | IPUMS |
| Work Variables -- PERSON | IPUMS |
| Disability Variables -- PERSON | IPUMS |
| Geography: M-Z Variables -- HOUSEHOLD | IPUMS |
| Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD | IPUMS |
| Constructed Household Variables -- HOUSEHOLD | IPUMS |
| Constructed Family Interrelationship Variables -- PERSON | IPUMS |
| Group Quarters Variables -- HOUSEHOLD | IPUMS |
| Ethnicity and Language Variables -- PERSON | IPUMS |
| Household Economic Variables -- HOUSEHOLD | IPUMS |
| Other Person Variables -- PERSON | IPUMS |
| Income Variables -- PERSON | IPUMS |
Coverage
National coverage
State
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statistics | |
| Minnesota Population Center | University of Minnesota |
| Name | Affiliation | Role |
|---|---|---|
| Minnesota Population Center | University of Minnesota | Harmonization of datasets |
Sampling
MICRODATA SOURCE: National Bureau of Statistics
SAMPLE DESIGN: The sample followed a two-stage, replicated and rotable design in which enumeration areas (EAs) demarcated for the 1991 Population Census served as the primary sampling units and households as the secondary sampling units. Thirty EAs per state were randomly selected. In each EA, 15 households were selected randomly from a list of all households in the EA. In total, 450 hhs where selected for interview per state. Total, 16650 households from 1,110 EAs were selected for interview. The selected EAs were distributed across urban and rural areas.
SAMPLE UNIT: Enumeration area and household
SAMPLE FRACTION: 0.1%
SAMPLE SIZE (person records): 77,896
Weights computed by statistical agency should be used for most types of analysis.
Survey instrument
A single form with eleven sections: A) Housing unit identification and conditions, B)Persons present in the household, C) Usual resident absent, D) Contraceptive prevalence, E) Births in the last 12 months, F) National programme on immunization, G) Child nutrition, H) Deaths in the last 12 months, I) Health, J) Householkd enterprises, and K) Household expenditure.
Data collection
| Start | End |
|---|---|
| 2010-03-31 | 2010-04-19 |
| Start date | End date |
|---|---|
| 2009-07-01 | 2010-06-30 |
FIELD WORK PERIOD: March 31, 2010 to April 19, 2010
Data Access
| Name | Affiliation | URL |
|---|---|---|
| IPUMS International | Minnesota Population Center | http://international.ipums.org |
| 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. |
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.
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:
Nigeria, National Bureau of Statistics, General Household Survey
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
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.
(c) Copyright 2009, National Bureau of Statistics and Minnesota Population Center
Contacts
| Name |
|---|
| National Bureau of Statistics |
Metadata production
DDI_NGA_2009_GHS_v01_M_v02_A_IPUMS
| Name | Affiliation | Role |
|---|---|---|
| Minnesota Population Center | University of Minnesota | Integration Harmonization Documentation |
2016-04-25
Metadata version
- 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)