Kyrgyz Republic - Census of Population and Housing of the Kyrgyz Republic 2009 - IPUMS Subset

Primary tabs

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.

Acronym: 
PHC 2009 (IPUMS Harmonized Subset)
Type: 
Microdata
Topics: 
Topic not specified
Languages Supported: 
English
Geographical Coverage: 
Kyrgyz Republic
Reference ID: 
KGZ_2009_PHC_v01_M_v03_A_IPUMS
Version Production Date: 
April 25, 2016
Release Date: 
September 5, 2013

Harvest Source

Harvest Source: 
Microdata

Harvest Source ID

Harvest Source ID: 
4760

Last Updated

Last Updated: 
May 3, 2018
Study Type: 

Population and Housing Census [hh/popcen]

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.
Primary Investigator Name, Affiliation: 
National Statistical Committee of the Kyrgyz Republic; Minnesota Population Center - University of Minnesota
Questionnaires: 
Three census forms: List of Residents (Form 1), Census Questionnaire - Population (Form 2), and Census Questionnaire - Housing Fund (Form 3)
Response Rates: 
COVERAGE: 100%
Sampling Procedure: 
MICRODATA SOURCE: National Statistical Committee of the Kyrgyz Republic SAMPLE DESIGN: 20% sample drawn by the country: systematic sample of every 5th household or every 5th individual in collective household 10% sample drawn by MPC from the 20% sample: systematic sample of every 2nd household SAMPLE UNIT: Households SAMPLE FRACTION: 10% SAMPLE SIZE (person records): 564,986
Unit of Analysis: 
Individuals, households, and housing unitsUNITS IDENTIFIED:- Dwellings: Yes- Vacant units: No- Households: Yes- Individuals: Yes- Group quarters: Yes- Special populations: Homeless people, temporarily absent persons, and temporary residentsUNIT DESCRIPTIONS:- Dwellings: The totality of all living quarters, regardless of ownership and employment at the time of the census, including residential buildings, special houses (like hostels, houses for lonely and old people, children's homes, boarding houses for disabled, school hostels and boarding school), flats, service housings, holiday homes, hotels, other living accomodations in other buildings suited for living whether or not they are intended for living.- Households: A group of people sharing the same housing unit (or one person living alone), jointly keeping the house, i.e. fully or partially pooling their individual budgets for common expenditures for food and daily living needs or having a common budget who may or may not be related by kinship.- Group quarters: Groups of people living at the same institution (housing unit), sharing meals, without having individual budgets or common consumer expenditures, subject to the same general rules, and usually unrelated by kinship.
Universe: 
The entire population of the country, including private and institutional households, their accommodation and living conditions
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 here. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed here. 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.
Weighting: 
Self-weighted. Expansion factor = 10.

No Visualizations Available.

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: Kyrgyz Republic, National Statistical Committee of the Kyrgyz Republic, Census of Population and Housing of the Kyrgyz Republic, 2009 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 [email protected] Printed matter should be sent to: IPUMS-International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455

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.

FieldValue
Modified Date
2018-05-03
Release Date
Identifier
8c4ed4df-bc96-448e-88f0-fa2890f6f121
License
License Not Specified
Rating: 
0
No votes yet
Reference ID: 
KGZ_2009_PHC_v01_M_v03_A_IPUMS
Acronym: 
PHC 2009 (IPUMS Harmonized Subset)
Type: 
Languages Supported: 
Access Authority Name, Affiliation, Email: 
IPUMS International, Minnesota Population Center, http://international.ipums.org
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.
Response Rates: 
COVERAGE: 100%
Weighting: 
Self-weighted. Expansion factor = 10.
Time Periods: 
August, 2017
Primary Investigator Name, Affiliation: 
National Statistical Committee of the Kyrgyz Republic; Minnesota Population Center - University of Minnesota
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.
Unit of Analysis: 
Individuals, households, and housing unitsUNITS IDENTIFIED:- Dwellings: Yes- Vacant units: No- Households: Yes- Individuals: Yes- Group quarters: Yes- Special populations: Homeless people, temporarily absent persons, and temporary residentsUNIT DESCRIPTIONS:- Dwellings: The totality of all living quarters, regardless of ownership and employment at the time of the census, including residential buildings, special houses (like hostels, houses for lonely and old people, children's homes, boarding houses for disabled, school hostels and boarding school), flats, service housings, holiday homes, hotels, other living accomodations in other buildings suited for living whether or not they are intended for living.- Households: A group of people sharing the same housing unit (or one person living alone), jointly keeping the house, i.e. fully or partially pooling their individual budgets for common expenditures for food and daily living needs or having a common budget who may or may not be related by kinship.- Group quarters: Groups of people living at the same institution (housing unit), sharing meals, without having individual budgets or common consumer expenditures, subject to the same general rules, and usually unrelated by kinship.
Universe: 
The entire population of the country, including private and institutional households, their accommodation and living conditions
Geographical Coverage: 
Data Classification of a Dataset: 
Version Production Date: 
Monday, April 25, 2016
Sampling Procedure: 
MICRODATA SOURCE: National Statistical Committee of the Kyrgyz Republic SAMPLE DESIGN: 20% sample drawn by the country: systematic sample of every 5th household or every 5th individual in collective household 10% sample drawn by MPC from the 20% sample: systematic sample of every 2nd household SAMPLE UNIT: Households SAMPLE FRACTION: 10% SAMPLE SIZE (person records): 564,986
Release Date: 
Thursday, September 5, 2013
Last Updated Date: 
Thursday, May 3, 2018
Questionnaires: 
Three census forms: List of Residents (Form 1), Census Questionnaire - Population (Form 2), and Census Questionnaire - Housing Fund (Form 3)
Harvest Source: 
Harvest Source ID: 
4760
Citation Text: 
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: Kyrgyz Republic, National Statistical Committee of the Kyrgyz Republic, Census of Population and Housing of the Kyrgyz Republic, 2009 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 [email protected] Printed matter should be sent to: IPUMS-International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455
Modified date: 
17654
Study Type: 
Population and Housing Census [hh/popcen]
Primary Dataset: 
Yes
Mode of Data Collection: 

Face-to-face

Data Access and Licensing

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is available from an external third-party website. Visit the website to obtain license information. More information

Share Metadata

The information on this page (the dataset metadata) is also available in these formats.

PRINT EMAIL JSON RDF