Sampling
Sampling Procedure
Rwanda is administratively divided into four provinces (Northern Province, Southern Province, Eastern Province and Western Province) plus Kigali City and a total of 30 districts. Districts are further divided in sectors and cells.
To facilitate comparison with existing studies, the CFSVA 2018 was designed to provide statistically representative and precise information at the district level. In addition, it was decided to include both urban and rural households and not to exclude the capital province Kigali. The sampling frame was organized according to the 30 districts.
Subsequently, a two-stage cluster sample procedure was applied.
In the first stage, 30 villages per district were randomly selected with probability to be selected proportional to the
population size. In the second stage, ten households in each of the 30 villages in the 30 provinces were selected for participation in the survey. A systematic random sampling technique was chosen for this stage. The team leader, together with the village head, listed all households in the village. Based on this list, a systematic random sample was utilized to pick ten households to be interviewed and three reserve households should any of the first ten households be missing at the time of the interview or not agree to participate. Households were eligible for participation in the assessment if living in one of the selected villages at the time of the interviews. Thus, ten households, from 30 villages, from 30 provinces were chosen to participate in the survey, amounting up to 9000 households.
Weighting
Taking into consideration the two-stage cluster sampling methodology, adjustment weights were computed to provide results representative at country level. The household probability of being selected in the sample is equal to the product of a household’s probability of being selected in a village by the probability of the village of being sampled.
The inverse of this probability is the design weight. The design weight was adjusted for the expected and actual number of households in the surveyed villages and was used in the complex sample
calculations. The design weight was divided by the product of the total number of households in the population divided by the number of sampled households. The resulting weight was used in all non-complex sample analyses
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