This is the third Kyrgyz Poverty Monitoring Survey (KMPS). A Multipurpose Poverty Survey (KMPS) was conducted in October and November 1993 with a sample of about 2,000 households and 10,000 members of those households. The 1993 KMPS survey was designed to be a nationally representative survey of living standards in the Kyrgyz Republic during the second half of 1993. After the 1993 KMPS, a Social Safety Net (SSN) project was launched in the Kyrgyz Republic. This SSN project had a Poverty Monitoring Component (PMC) which includes conducting an annual Kyrgyz Poverty Monitoring Survey (KPMS) for four years, 1996-1999.
The main purpose of these surveys is to provide data for the study of multiple aspects of household welfare and behaviour, analysis of poverty, and understanding the effect of government policies on households. The task of conducting these surveys and overall coordination of project activities was given to the National Statistical Committee (NATSTATCOM) of the Kyrgyz Republic with technical assistance from Research Triangle Institute (RTI) based in the United States. The first KPMS data collection was completed during the months of February and March (Spring) 1996 using the same survey questionnaires as the 1993 survey. After that NATSTATCOM decided that survey data would be collected during the Fall season and as a result the remaining KPMS were carried out during the months of October and November (Fall) of 1996, 1997 and 1998. The questionnaires used in KPMS were more or less similar. The Fall 1996 (second) KPMS added an Employment Module on the household questionnaire used earlier (Spring 1996). The 1997 (third) KPMS added questions on Family Planning to the Female Health Module. The 1998 (Fourth) KPMS used a similar questionnaire to that of the 1997, but with an extended agricultural module.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The scope of the study includes:
- Household questionnaire household roster
- Employment and incomes
- Respondents for round two
- Family planning and female health
- Agro-pastoral activities
- Non-farm self-employment
- Food expenditure and home food consumption
- Expenditures and durable goods
- Income received from relatives and other sources
- Loans and savings
- Population point questionnaire demographic information
- Infrastructure of population point
- Refugees and displaced persons
Agriculture & Rural Development
Food (production, crisis)
Access to Finance
Migration & Remittances
Producers and sponsors
National Statistical Committee (NATSTATCOM)
The World Bank
Research Triangle Institute
In order to expedite the survey process, NATSTATCOM used much of the same sample design and survey instruments as those used for the 1993 Baseline Survey. However, the Fall 1996-1998 KPMS surveys used a new sampling frame based on the Kyrgyz Household Registration System. This system was taken from the Census Posts intended for use by the first National Census of the Kyrgyz Republic. Using this system, NATSTATCOM updated the central household registration files effective January 1, 1996, and the information that was used for the sampling frame was as up to date as possible. The procedures followed in the stratification and identification of Primary Sampling Units (PSUs) were similar for all rounds of the KPMS as discussed below. Formation of Strata Initially the country was divided into seven (7) strata defined by oblasts (Oblasts are administrative divisions of the country which in turn are sub-divided in to Rayons) and by residence location (i.e. urban vs. rural) within oblasts. The rural portion of Bishkek oblast was combined with the rural portion of neighbouring Chui oblast for stratification purposes as Bishkek has practically no rural population.
In analysing the PMS datasets, there are two weighting variables that should be used to extrapolate results nationally. These variables are 'Weight' and 'Expansion Factor' and are included in the consumption/expenditure aggregates of the 1997 and 1998 PMS datasets. The 1996 expenditure aggregate does not have these variables, but average comparative weighting factors can be derived using the inverse of the sampling rate. Weight is a variable derived as a product of household size multiplied by the expansion factor and it is used for household level variables. Expansion factor is a variable that is used for individual level variables.
In receiving these data it is recognized that the data are supplied for use within your organization, and you agree to the following stipulations as conditions for the use of the data:
1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly.
2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to:
National Statistical Committee of the Kyrgyz Republic
374 Frunze Street Bishkek,
3. The researcher will refer to the 1996 Kyrgyz Republic Poverty Monitoring Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the National Statistical Committee of the Kyrgyz Republic is not responsable for the estimations reported by the analyst(s).
4. Users who download the data may not pass the data to third parties.
5. The database cannot be used for commercial ends, nor can it be sold.
Use of the dataset must be acknowledged by including a citation which would include:
- Identification of the Primary Investigator
- Title of the survey (including the year of implementation)
- Survey reference number
- Source and date of download
Example: Kyrgyz Republic National Statistical Committee. Poverty Monitoring Survey (KPMS) 1998 Ref. KGZ_1998_KPMS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date]
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