Sampling
Sampling Procedure
A key aspect of the 2025 RLFS is its robust sampling methodology, which was significantly enhanced by
leveraging data from the 2022 National Population and Housing Census. This updated sampling frame
ensured that the survey accurately captured a diverse representation of Rwanda’s working-age population,
encompassing individuals aged 16 years and above. The survey excluded institutional populations (such as
those in hostels, correctional facilities, and health resorts) and focused on private households, providing a
clear picture of the labour market as it pertains to the general population.
The sampling design followed a two-stage stratified cluster approach, which improved both the precision and
reliability of the estimates. Initially, enumeration areas (EAs) were selected from the updated census database
using probability proportional to size, ensuring that regions with larger populations had a higher likelihood
of inclusion. In the second stage, households within these EAs were systematically selected for participation.
This method allowed for the efficient coverage of both rural and urban areas, ensuring that the data reflected
the labour market’s regional and demographic differences.
Weighting
Three steps were involved in the calculation of the sample weights: Calculation of the design weight, Adjustment for
non-response; and Calibration to known population projections. The design weight of a given sample household is the
inverse of the probability of selection of a sample household. This probability is calculated as the product of two probabilities.
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