Rwanda - Rwanda Season Agriculture Survey 2020
Reference ID | RWA-NISR-SAS-2020-v0.1 |
Year | 2019 - 2020 |
Country | Rwanda |
Producer(s) | National Institute of Statistics of Rwanda - Ministry of Finance and Economic Planning |
Sponsor(s) | Government of Rwanda - GoR - Funder |
Metadata | Documentation in PDF |
Created on
Feb 10, 2022
Last modified
Feb 10, 2022
Page views
163493
Sampling
Sampling Procedure
Out of 5 defined agricultural strata, only dominant hill crop land stratum, dominant wetland crops stratum, dominant rangeland stratum 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 due to reasons stated above. Thus, SAS is conducted on 4 above mentioned strata to cover other major crops. In 2020 agricultural year, the sample of segments was increased in order to improve agriculture statistics where sample increased from 780 (sample used from 2018 to 2019) to 1200 segments. At first stage,1200 segments were selected and allocated at district level based on the power allocation approach (Bankier3, 1988). Sampled segments inside each district were distributed among strata with a proportional-to-area criterion.
At second stage, 25 sample points were systematically selected, following a special distance of 60 meters between points. Sample points are reporting units within each segment, where enumerators go to every point, locate and delineate plots in which the sample points fall, and collect records of land use and 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 780 segments and 222 large scale farmers holdings for Season A, whereas in Season C data was collected in 232 segments, 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