Demographic and Health Survey 2012
Kyrgyz Republic, 2012
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KGZ_2012_DHS_v01_M
Demographic and Health Survey 2012
| Name | Country code |
|---|---|
| Kyrgyz Republic | KGZ |
Demographic and Health Survey (Standard) - DHS VI
The 2012 Kyrgyz Republic Demographic and Health Survey (2012 KgDHS) is the second DHS survey conducted in the Kyrgyz Republic, following the country’s first DHS conducted in 1997, and the Multiple Cluster Indicator Survey (MICS) conducted in 2005. A nationally representative sample of about 8,216 households was selected. All women age 15-49 who were usual members of the selected households or who spent the night before the survey in the households were eligible. In addition, among all women age 15-49 eligible for individual interview in all selected households, only one woman per household was selected for the domestic violence module.
The 2012 Kyrgyz Demographic and Health Survey (KgDHS) is a nationally representative sample survey designed to provide information on population and health issues in the Kyrgyz Republic. The 2012 KgDHS, the country’s second DHS survey, was conducted by the National Statistical Committee (NSC) and the Ministry of Health of the Kyrgyz Republic from August through December 2012.
The purpose of the 2012 KgDHS was to collect national and regional data on fertility and contraceptive use, maternal and child health and nutrition, childhood mortality, domestic violence against women, and knowledge and behavior regarding tuberculosis, HIV infection, and other sexually transmitted infections. The survey obtained detailed information on these issues from women and men of reproductive age. Data are presented by region (oblast) when sample sizes permit such calculations.
The 2012 KgDHS results are intended to provide the information needed to evaluate existing social programs and to design new strategies for improving the health status of the country’s women and children and enhancing their access to health services. The survey also contributes to the growing international database on demographic and health-related indicators.
Sample survey data [ssd]
- Household
- Individual
- Children age 0-5
- Woman age 15-49
- Man age 15-59
Scope
The 2012 Kyrgyz Republic Demographic and Health Survey covered the following topics:
HOUSEHOLD
• Identification
• Usual members and visitors in the selected households
• Background information on each person listed, such as relationship to head of the household, age, sex, marital status, survivorship and residence of bilogical parents, school attendance, highest educational attainment, and birth registration
• Characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, type of fuel used for cooking, materials used for the floor, roof and walls of the house, and possessions of durable goods (including land) and ownership of livestock.
INDIVIDUAL WOMAN
• Background characteristics
• Pregnancy history
• Antenatal, delivery, and postnatal care
• Knowledge and use of contraception
• Reproductive and adult health
• Childhood mortality
• Health status and health care utilization
• Vaccinations of children under age 5
• Episodes of diarrhea and respiratory illness among children under age 5
• Breastfeeding and weaning practices
• Marriage and recent sexual activity
• Fertility preferences
• Knowledge of and attitudes toward AIDS and other sexually transmitted diseases
• Knowledge of and attitudes toward tuberculosis
• Women’s work and husbands’ background characteristics
• Other women’s health issues
• Domestic violence
INDIVIDUAL MAN
• Background characteristics
• Health status and health care utilization
• Contraception
• Marriage and recent sexual activity
• Attitudes toward and use of condoms
• Knowledge of and attitudes toward AIDS and other sexually transmitted diseases
• Attitudes toward women’s status
• Other health issues
Coverage
National coverage
The survey covered all de jure household members (usual residents), women age 15-49 years and men age 15-59 years resident in the household.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Statistical Committee (NSC) | Government of Kyrgyz Republic |
| Ministry of Health | Government of Kyrgyz Republic |
| Name | Role |
|---|---|
| ICF International | Technical assistance |
| Name | Role |
|---|---|
| Government of Kyrgyz Republic | Funded the study |
| United States Agency for International Development | Funded the study |
| United Nations Population Fund, Kyrgyz Republic office | Funded the study |
Sampling
The 2012 KgDHS sample was designed to permit detailed analyses, including estimation of fertility, infant/child mortality, and abortion rates, at the national level and separately for urban and rural areas. Many indicators can also be estimated at the regional (oblast) level. A representative probability sample of 8,216 households was selected for the 2012 KgDHS. The sample was selected in two stages. In the first stage, 316 clusters were selected from the sampling frame, which is a complete list of enumeration areas created for the 2009 Population and Housing Census. In the second stage, before the main survey, a household listing operation was conducted in each of the selected clusters. Households were then randomly selected from the newly updated listing for participation in the survey.
All women age 15-49 who either were permanent residents of the households in the 2012 KgDHS sample or were visitors present in the household on the night before the survey were eligible to be interviewed. Interviews were completed with 8,208 women. In addition, in a subsample of one-third of the households selected for the survey, all men age 15-49 were eligible to be interviewed if they were either permanent residents or visitors present in the household on the night before the survey. Interviews were completed with 2,413 men.
For further details on sample design and implementation, see Appendix A of the final report.
A total of 8,208 households were selected for the sample, of which 8,083 were occupied at the time of the fieldwork and 8,040, or over 99 percent, were successfully interviewed. In these households, 8,286 women age 15-49 were identified. Interviews were completed with 99 percent of these women. Of the 2,495 eligible men identified, 97 percent were successfully interviewed.
A spreadsheet containing all sampling parameters and selection probabilities is prepared to facilitate the calculation of the design weight. Next, the design weight is adjusted for household nonresponse and individual nonresponse to get the sampling weights for households and for women and men, respectively. Nonresponse is adjusted at the sampling stratum level. For the household sampling weight, the household design weight is multiplied by the inverse of the household response rate, by stratum. For the women’s individual sampling weight, the household sampling weight is multiplied by the inverse of the women’s individual response rate, by stratum. For the men’s individual sampling weight, the household sampling weight is multiplied by the inverse of the men’s individual response rate, by stratum. After adjusting for nonresponse, the sampling weights are normalized to get the final standard weights that appear in the data files. The normalization process is done to obtain a total number of unweighted cases equal to the total number of weighted cases at the national level, for the total number of households, women, and men. Normalization is done by multiplying the sampling weight by the estimated sampling fraction obtained from the survey for the household weight, the individual woman’s weight, and the individual man’s weight. The normalized weights are relative weights, which are valid for estimating means, proportions, ratios, and rates, but which are not valid for estimating population totals or for pooled data.
For further details on sampling weights, see Appendix A.4 of the final report.
Survey instrument
Three questionnaires were used in the 2012 KgDHS: the Household Questionnaire, the Woman’s Questionnaire, and the Man’s Questionnaire. The questionnaires were based on model survey instruments developed in the MEASURE DHS program. The DHS model questionnaires were adapted for use in the Kyrgyz Republic by experts from the National Statistical Committee and the Ministry of Health of the Kyrgyz Republic. Suggestions were also sought from USAID; a number of UN agencies, including the United Nations Development Program (UNDP), UNICEF, and UNFPA; and other international and nongovernmental organizations. All three questionnaires were developed in English and translated into Russian and Kyrgyz. The questionnaires were pretested in May 2012.
Data collection
| Start | End |
|---|---|
| 2012-08 | 2012-12 |
| Name | Affiliation |
|---|---|
| National Statistical Committee | Government of Kyrgyz Republic |
Nine teams collected the survey data; each team consisted of four female interviewers, one male interviewer, a field editor, and a team supervisor. Fieldwork began in early August 2012 and concluded in December 2012. Senior KgDHS technical staff members visited teams regularly to review their work and monitor data quality. MEASURE DHS staff also assisted with field supervision.
Data processing
The processing of the KgDHS results began shortly after fieldwork commenced. Completed questionnaires were returned regularly from the field to NSC headquarters in Bishkek, where they were entered and edited by data processing personnel specially trained for this task. The data processing personnel included a supervisor, a questionnaire administrator (who ensured that the expected number of questionnaires from all clusters was received), several office editors, 13 data entry operators, and a secondary editor. The concurrent processing of the data was an advantage because the senior DHS technical staff could advise field teams of problems detected during data entry. In particular, tables were generated to check various data quality parameters, and the results were used to provide specific feedback to the teams to improve performance. The data entry and editing phase of the survey was completed in February 2013.
Data appraisal
Estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors result from mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions by either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2012 Kyrgyz Republic Demographic and Health Survey (KgDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.
Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2012 KgDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability among all possible samples. Although the exact degree of variability is unknown, it can be estimated from the survey results.
Sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.
If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2012 KgDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed in SAS, using programs developed by ICF Macro. This program uses the Taylor linearization method for variance estimation for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.
Note: A more detailed description of estimates of sampling errors are presented in Appendix B of the final report.
Data Quality Tables
- Household age distribution
- Age distribution of eligible and interviewed women
- Age distribution of eligible and interviewed men
- Completeness of reporting
- Births by calendar years
- Reporting of age at death in days
- Reporting of age at death in months
- Nutritional status of children based on the NCHS/CDC/WHO International Reference Population
Note: See details of the data quality tables in Appendix C of the final report.
Data Access
| Name | URL | |
|---|---|---|
| The DHS Program | http://www.DHSprogram.com | archive@dhsprogram.com |
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Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Information about The DHS Program | The DHS Program | reports@DHSprogram.com | http://www.DHSprogram.com |
| General Inquiries | The DHS Program | info@dhsprogram.com | http://www.DHSprogram.com |
| Data and Data Related Resources | The DHS Program | archive@dhsprogram.com | http://www.DHSprogram.com |