The sample for the Uzbekistan Multiple Indicator Cluster Survey was designed to provide estimates for a large number of indicators on the situation of children and women at the national level, for urban and rural areas, and for six geo-economical regions of the country, as follows: 1. Western: (Republic of Karakalpakstan & Khorezm oblast) 2. Central: (Bukhara, Navoi & Samarkhand oblasts) 3. Southern: (Kashkadarya & Surkhandarya oblasts) 4. Central-Eastern: (Jjizzakh, Syrdarya & Taskentskaya oblasts) 5. Eastern: (Andizhan, Namangan & Fergana oblasts) 6. Tashkent city Regions were identified as the main sampling domains and the sample was selected in three stages. At the first stage, 375 primary sampling units were selected with probability proportional to size from a master frame of 14,799 enumeration areas called "mahala" produced by a countrywide population review, conducted by the State Statistical Committee (SSC) in 2002. The list of selected enumeration areas served as the frame for the second stage of selection. Each enumeration area was assigned a measure of size equal to the desired number of "standard segments" it contains by dividing the population size of the enumeration area by 500 and rounding to the nearest whole number. One segment was randomly selected on the basis of a sketch-map prepared for each enumeration area. After a household listing was carried out within the selected segments, a systematic sample of 10,505 households was drawn. All selected enumeration areas were successfully visited. The distribution of clusters between sampling domains is not proportional to the distribution of population and, consequently neither is the fi nal household distribution. The sample is therefore not a self-weighting household sample. For reporting national level results, sample weights are used. Following standard MICS data collection rules, if a household was actually more than one household when visited, then a) if the selected household contained two households, both were interviewed, or b) if the selected household contained 3 or more households, then only the household of the person named as the head was interviewd. No replacement of households was permitted in case of non-response or non-contactable households. Adjustments were made to the sampling weights to correct for non-response, according to MICS standard procedures. The sampling procedures are more fully described in the sampling design document and the sampling appendix of the final report.
Deviation from Sample Design
No major deviations from the original sample design were made. All sample enumeration areas were accessed and successfully interviewed with good response rates.
Of the 10,505 households selected for the sample, 10,349 were found to be occupied. Of these, 10,198 were successfully interviewed resulting in a household response rate of 98.5 percent. In the interviewed households, 14,205 women (age 15–49) were identifi ed. Of these, 13,919 were successfully interviewed, yielding a response rate of 98 percent. In addition, 5,039 children under age fi ve were listed in the household questionnaire. Questionnaires were completed for 4,986 of these children, which corresponds to a response rate of 98.9 percent. Overall response rates of 96.6 and 97.5 are calculated for the women’s and under-5’s interviews respectively There are no significant differences in response rates according to regions and urban rural residence. Household, woman and children questionnaires’ response rates are all 95 percent or higher across different regions and urban and rural areas.
The Uzbekistan Multiple Indicator Cluster Survey sample is not self-weighted. Essentially, by allocating equal numbers of households to each of the regions, different sampling fractions were used in each region since the size of the regions varied. For this reason, sample weights were calculated and these were used in the subsequent analyses of the survey data. The major component of the weight is the reciprocal of the sampling fraction employed in selecting the number of sample households in that particular sampling domain Sample weights were calculated for each of the datafiles. Sample weights for the household data were computed as the inverse of the probability of selection of the household, computed at the sampling domain level (urban/rural within each region). The household weights were adjusted for non-response at the domain level, and were then normalized by a constant factor so that the total weighted number of households equals the total unweighted number of households. The household weight variable is called HHWEIGHT and is used with the HH data and the HL data. Sample weights for the women's data used the un-normalized household weights, adjusted for non-response for the women's questionnaire, and were then normalized by a constant factor so that the total weighted number of women's cases equals the total unweighted number of women's cases. Sample weights for the children's data followed the same approach as the women's and used the un-normalized household weights, adjusted for non-response for the children's questionnaire, and were then normalized by a constant factor so that the total weighted number of children's cases equals the total unweighted number of children's cases.