RWA_2022_RSAS_v01_EN_M_v01_A_OCS
Rwanda Season Agriculture Survey 2022
Name | Country code |
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Rwanda | RWA |
Agricultural Survey [ag/oth]
The main objective of the Seasonal Agricultural Survey is to provide timely, accurate, reliable, and comprehensive agricultural statistics that describe the structure of agriculture in Rwanda mainly in terms of land use, crop area, yield, and crop production to monitor current agricultural and food supply conditions and to facilitate evidence-based decision making for the development of the agricultural sector.
The National Institute of Statistics of Rwanda (NISR) has been conducting seasonal agricultural surveys since 2012 for the estimation of the national agricultural crop area and production estimates. In the 2021/2022 agricultural year, the NISR conducted Seasonal Agricultural Survey (SAS) covering the three agricultural seasons. The SAS provides information used as a tool to assist in addressing key agricultural issues and information needs that will inform policymakers and other stakeholders and allow more effective identification of priority intervention needs.
Sample survey data [ssd]
Agricultural holdings
The scope of the survey concerned farm characteristics (Land use, Crop land, Crop producion, Crop yield, Use of inputs and Agricultural practices).
National coverage
Name | Affiliation |
---|---|
National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning |
Name | Affiliation | Role |
---|---|---|
National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | Main producer of the survey |
Name | Role |
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Government of Rwanda | Funder of the survey |
Out of five defined agricultural strata, only dominant hill crop land stratum, dominant wetland crops stratum, dominant rangeland stratum and mixed stratum are considered as land potential for agriculture. The remaining stratum is the non-agricultural land. Note that clusters covered by tea plantations are 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 where a total of 1,200 segments constitutes the SAS sample.
At first stage,1200 segments are selected and allocated at district level based on the power allocation approach (Bankier, 19882). Sampled segments inside each district are 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.
Sampling weights were calculated for each sampled plot in the sampled segment for each stratum.
Seasonal Agricultural Survey used two questionnaires:
Start | End |
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2021-12-05 | 2022-02-24 |
2022-04-24 | 2022-06-30 |
2022-09-06 | 2022-09-30 |
CAPI data collection method used allows the enumerators to collect data with the tablets and synchronize to the central server at headquarter where data are received, checked for consistency and transmitted to analysts for further analysis using STATA and Excel.
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes |
Confidentiality of respondents is guaranteed by law No. 45/2013 of 16/06/2013 in it's article 17, before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data. |
National Institute of Statistics of Rwanda (NISR). Seasonal Agricultural Survey 2022, December 2022
Name | Affiliation | URL | |
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National Institute of Statistics | Ministry of Finance and Economic Planning | [email protected] | http://www.statistics.gov.rw/ |
DDI_RWA_2022_RSAS_v01_EN_M_v01_A_OCS_FAO
Name | Affiliation | Role |
---|---|---|
National Institute of Statistics of Rwanda | Ministry of Finance and Economic Planning | Main producer of the survey |
Office of Chief Statistician | Food and Agriculture Organization | Metadata adapted for FAM |
RWA_2022_RSAS_v01_EN_M_v01_A_OCS_v01