Rwanda - Rwanda Season Agriculture Survey 2022
Reference ID | RWA-NISR-SAS-2022-v0.1 |
Year | 0 |
Country | Rwanda |
Producer(s) | National Institute of Statistics of Rwanda - Ministry of Finance and Economic Planning |
Sponsor(s) | Government of Rwanda - GoR - Funder of the Survey |
Metadata | Documentation in PDF |
Created on
Feb 22, 2023
Last modified
Feb 22, 2023
Page views
618768
Sampling
Sampling Procedure
Sampling Procedure
The total country land was classified into five strata of which four are agricultural while the remaining stratum is for land not potential for agriculture. The dominant hill crop land stratum, dominant wetland crops, dominant rangeland, and mixed stratum were considered as land potential for agriculture. The remaining stratum is the non-agricultural land. Note that clusters covered by tea plantations were not considered in the area sample frame.
In the 2022 agricultural year, the total sample used was 1200 segments. In the first stage,1200 segments were selected and allocated at the district level based on the power allocation approach (Bankier, 1988). Sampled segments inside each district were distributed among strata with a proportional-to-area criterion.
In the second stage, 25 sample points were systematically selected, following a special distance of 60 meters between points. For every sample point, a corresponding should be interviewed which constitutes the sampling units within each segment. Enumerators locate every point, delineate plots in which the sample points fall, and then collect information on land use and other related information. The recorded information represents the characteristics of the whole segment which are extrapolated to the stratum level and hence the combination of strata within each district provides district area-related statistics.
Response Rate
Data collection was done in 1200 segments and 336 large-scale farmers' holdings for Seasons A and B, whereas in Season C data was collected in 2093 sites potential to grow season C crops in addition to 513 segments, and response rate was 100% of the sample
Weighting
Sampling weights were calculated for each stratum in each district considering the total number of segments in the stratum and the sample size in the specific stratum