Sampling
Sampling Procedure
The 2024 Comprehensive Food Security and Vulnerability Assessment (CFSVA) employed a stratified
two-stage sampling approach designed to ensure statistical representativeness at the district level.
In the first stage, data from the 2022 Population and Housing Census and the Rwanda Demographic and
Health Survey were used, with each district serving as a stratum and villages, or Enumeration Areas (EAs),
as the primary sampling units (PSUs). The NISR's 2020 mapping operation identified 24,339 EAs, forming
the basis for the 2022 Census, Post Enumeration Survey, and future inter-censual surveys. Depending on
physical and demographic factors, an EA may comprise a whole village or parts of one or two villages.
Villages were systematically selected using Probability Proportional to Size (PPS), giving larger villages a
higher chance of inclusion. The total sample consists of 900 EAs across Rwanda’s 30 districts, ensuring
comprehensive geographical coverage.
At the second stage of sampling, households were randomly selected within each sampled village.
From the official list provided by village authorities, 10 households were systematically selected using a
random start and a calculated interval based on the total number of households in each village. An
additional three reserve households were also identified to replace any non-responding households. The
target sample size for each district was 300 households, leading to a total sample size of 9,000
households across Rwanda.
Weighting
Weighting procedures were employed to account for variations in household sizes across villages and
to correct for non-response. The basic weight for each household was calculated as the inverse of its
probability of selection, ensuring that the results were representative of the overall population in each
district. Additionally, adjustments were made for non-interviews and replacement households to
maintain accuracy. The final dataset provides comprehensive and representative information on food
security and nutrition at the national, provincial, and district levels.
Documentation in PDF