RWANDA - Comprehensive Food Security and Vulnerability Analysis and Nutrition Survey 2012

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. The sampling frame was based on the data from the recent EICV 3 (2010/2011). To facilitate comparison with existing studies, the CFSVA and Nutrition Survey 2012 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 30 districts. Subsequently, a two-stage cluster sample procedure was applied.

In the first stage, 25 villages per district were randomly selected with probability proportional to population size. In the second stage, ten households in each of the 25 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. Households were eligible for participation in the assessment if living in the selected villages at the time of the interviews.
Thus ten households, from 25 villages, from 30 provinces were chosen to participate in the survey, amounting up to 7,500 households.


Taking into consideration the sampling methodology summarized above, adjustment weights were computed to provide results representative at country level. The household probability of selection 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 result is the normalized weights which were used in all non-complex sample analyses.