Data Sharing for Demographic Research

This study was originally processed, archived, and disseminated by Data Sharing for Demographic Research (DSDR), a project funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD).

Survey of HIV Status and Fertility Preferences in Sub-Saharan Africa, 2009-2010 (ICPSR 36718)

Principal Investigator(s): Bankole, Akinrinola, Guttmacher Institute

Summary:

The Survey of HIV Status and Fertility Preference in Sub-Saharan Africa 2009-2010 is one of eight community-based surveys conducted in Zambia and Nigeria exploring how HIV status relates to attitudinal and behavioral measures regarding HIV services and fertility preferences. Information was collected from 1,441 Zambian women aged 18-49 on topics such as fertility preferences, HIV status, pregnancy intention, current and previous pregnancies, attitudes toward and use of family planning, current and past sexual activity, past abortions, attitudes toward and knowledge about HIV, and attitudes toward and use of HIV services. Demographic variables include age, urban/rural location, native language, education, religion, and marital status.

Access Notes

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

Dataset(s)

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Study Description

Citation

Bankole, Akinrinola. Survey of HIV Status and Fertility Preferences in Sub-Saharan Africa, 2009-2010 . ICPSR36718-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-04-10. https://doi.org/10.3886/ICPSR36718.v2

Persistent URL: https://doi.org/10.3886/ICPSR36718.v2

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Funding

This study was funded by:

  • United States Department of Health and Human Services. National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development (1R01 HD058359-01)

Scope of Study

Subject Terms:    abortion, AIDS, birth control, birth expectations, community health, disease prevention, family planning, fertility, health attitudes, health services utilization, HIV, marriage, miscarriages, pregnancy, prenatal care, reproductive history, sexual behavior, sexually transmitted disease

Smallest Geographic Unit:    Province

Geographic Coverage:    Africa, Lusaka, Northern Province, Southern Province, Sub-Saharan Africa, Zambia

Time Period:   

  • 2009--2010

Date of Collection:   

  • 2009-01-02--2010-12-29

Unit of Observation:    Individual

Universe:    Zambian Women aged 18-49 living in Lusaka, Northern, or Southern provinces.

Data Type(s):    survey data

Data Collection Notes:

The data for the Survey of HIV Status and Fertility Preferences in Sub-Saharan Africa, 2009-2010 was collected by The Guttmacher Institute

For more information on the Survey of HIV Status and Fertility Preferences in Sub-Saharan Africa, 2009-2010, please visit the Guttmacher Institute Web site.

Methodology

Sample:   

The sample was sub-sampled from the 2007 Zambia Demographic and Health Survey (ZDHS). The sample was designed to provide specific indicators including reproductive health indicators and HIV prevalence for each of the nine provinces in Zambia. The sampling frame of the 2007 ZDHS was the listing of enumeration areas (EAs) from the 2000 Census of Population and Housing. In the 2000 Census programme, the whole of Zambia was divided into EAs of about equal size. Therefore, all households in Zambia had a chance of being selected into the ZDHS sample, excluding those omitted purposely from restricted areas such as military barracks. There were 16,757 EAs in the 2000 Census of Population and Housing, 320 of which were selected for the 2007 ZDHS with probability proportional to the size of the EA. However, permission to access one EA was not given.

The sample for the 2007 ZDHS was stratified by separating every province into urban and rural areas. Therefore, the nine provinces were stratified into 18 sampling strata. EAs were selected independently in every stratum, first at the Census Supervisory Area (CSA) level and then at the EA level. The Central Statistical Office demarcated all political administrative areas such as provinces into CSAs. CSAs were either in rural or urban areas. CSAs were then divided into EAs. Implicit stratifications and proportional allocation was achieved by sorting the sample frame according to the geographical/administrative order and by using a probability proportional to size. Households in the 319 EAs were listed. Out of the listed households, 25 on average were selected for each EA by equal probability systematic sampling. Out of these EAs, those in Southern, Northern, and Lusaka provinces were sub-sampled for the HIV status and achieving fertility desires community survey.

Time Method:    Cross-sectional

Weight:    The data are not weighted, however this data collection contains a weight variable (WGT) that should be used in any analysis.

Mode of Data Collection:    on-site questionnaire

Version(s)

Original ICPSR Release:   2017-02-02

Version History:

  • 2017-04-10 This collection has been fully processed by ICPSR; value label revisions and recodes have been implemented at the request of the Principal Investigator. Additionally, question text has been added for all variables in the ICPSR Variable Description and Frequencies document.

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