Season Agriculture Survey 2023
Rwanda, 2022 - 2023
Get MicrodataIdentification
RWA_2023_SAS_v01_M_v01_A_ESS
Season Agriculture Survey 2023
SAS 2023
| Name | Country code |
|---|---|
| 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 survey since 2012 for the estimation of the national agricultural crop area and production estimates. In 2022/2023 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]
Small scale agricultural farms and large scale farms
Scope
GENERAL INFORMATION
MAIN CROP GROWN, SEEDS USED, CROP PRODUCTION, USE OF PRODUCTION AND LOSSES
INPUTS USED
AGRICULTURAL PRACTICES
PLOT INFORMATION
MAIN CROPS GROWN
Coverage
National coverage allowing district-level estimation of key indicators
The SAS 2023 targeted potential agricultural land and large-scale farmers
Producers and sponsors
| 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 |
| Name | Abbreviation | Role |
|---|---|---|
| Government of Rwanda | GoR | Funder |
Sampling
The total country land was classified into five strata, of which four are agricultural, while the remaining stratum is designated for land not suitable for agriculture. The four agricultural strata are: dominant hill crop land, dominant wetland crops, dominant rangeland, and mixed stratum, all considered suitable for agriculture. The fifth stratum comprises non-agricultural land, including areas occupied by water bodies, forestry plantations, settlements, parks, and protected marshland not utilized for agriculture. The sampling frame excludes land areas covered by tea plantation farms.
In 2023 agricultural year, the total sample used was 1200 segments. At first stage,1200 segments were selected and allocated at district level based on the power allocation approach (Bankier, 1988). Sampled segments inside each district were distributed among strata with a proportional-to-size criterion.
At the second stage, 25 sample points were systematically selected, following a special distance of 60 meters between points. For every sample point, a corresponding farm or plot is identified, and the operator is interviewed. The farms therefore constitute the sampling units within each segment. Enumerators locate every sample point, delineate plots in which the sample points fall using high accurate GPS devices and then collect information on land use and other related information. Sampling weights are calculated and applied to the sample data to obtain stratum-level estimates. District estimates are then derived by aggregating the estimates from all strata within the district.
Data collection was done in 1200 segments and 345 large scale farmers holdings for Season A and B, whereas in Season C data was collected in 1769 sites potential to grow season C crops in addition to 513 segments, response rate was 100% of the sample.
During the SAS 2023 exercise, data collection covered three main agricultural seasons A, B and C and was conducted into two separate phases in each season:
A. The first phase, known as screening activity (post-planting phase), consists of visiting all sampled segments and demarcating all plots with sampled points with the aim of covering the information related to land area, planted crops and land use.
B. The second phase involves capturing of production data by visiting sampled agricultural plots identified from screening activity as well as all large-scale farmers.
To ensure the smooth completion of the SAS workload, NISR employed 137 Enumerators and 23 Team Leaders. All fieldwork staff hold a degree in agriculture sciences and were consistently trained by NISR headquarter staff before starting data collection in each season. Moreover, higher-level supervision was organized and done by staff from NISR who frequently visited the field teams during each phase of data collection to ensure the quality of collected data.
For Season A, data collection started on 4th December 2022 and ended on 16th February 2023.
For Season B, data collection started on 2nd May 2023 and ended on 30th June 2023.
For Season C, data collection started on 10th September 2023 and ended on 30th September 2023.
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.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2022-12-04 | 2023-02-16 | Season A |
| 2023-05-02 | 2023-06-30 | Season B |
| 2023-09-10 | 2023-09-30 | Season C |
- Computer Assisted Personal Interview [capi]
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The National Institute of Statistics of Rwanda (NISR) is committed to disseminate the official statistical data whether the one publicized by the Institute or the data bearing its visa[1] (LAW N°53bis/2013 OF 28/06/2013: Chapter 2, Article 3, No. 5); and to encourage the public to participate in statistical activities and learn how to use the census and surveys results (LAW N°53bis/2013 OF 28/06/2013 : Chapter 2, Article 3, No. 8), among others. Hence, promoting widespread dissemination, use and sharing, data and analysis from the NISR is released under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Accordingly, data and analysis from the NISR can be copied, distributed, transmitted and freely adapted, even for commercial purposes, provided that their integrity is respected and the source - “National Institute of Statistics of Rwanda” - is acknowledged appropriately. Please note however, that some content may be subject to different licensing conditions, which will then be embedded in the content and supersede the Creative Commons licensing conditions. Data provided on the Internet are free, while some products such as, printed maps on paper, are provided at a charge (NISR Service Charter, Page 15, Type of service 7: Mapping - http://statistics.gov.rw/publications/nisr-service-charter) in order to cover production costs. Images, logos (including NISR logo), trademarks and other content owned by third parties, belong to their respective owners and cannot be reproduced without their consent. No permission is necessary to hyperlink to pages on NISR website/s. These Terms of Use may be changed at any time without notice. [1] Written authorization delivered, upon request, by the National Institute of Statistics of Rwanda to any person undertaking a statistical survey, attesting that the survey respects the requirements, either at the level of its organization or at the level of publication of data that have come out of it. For more information on the visa, please refer to the visa manual of NISR. |
The National Institute of Statistics of Rwanda (NISR) is committed to disseminate the official statistical data whether the one publicized by the Institute or the data bearing its visa[1] (LAW N°53bis/2013 OF 28/06/2013: Chapter 2, Article 3, No. 5); and to encourage the public to participate in statistical activities and learn how to use the census and surveys results (LAW N°53bis/2013 OF 28/06/2013 : Chapter 2, Article 3, No. 8), among others.
Hence, promoting widespread dissemination, use and sharing, data and analysis from the NISR is released under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Accordingly, data and analysis from the NISR can be copied, distributed, transmitted and freely adapted, even for commercial purposes, provided that their integrity is respected and the source - "National Institute of Statistics of Rwanda" - is acknowledged appropriately.
Please note however, that some content may be subject to different licensing conditions, which will then be embedded in the content and supersede the Creative Commons licensing conditions.
Data provided on the Internet are free, while some products such as, printed maps on paper, are provided at a charge (NISR Service Charter, Page 15, Type of service 7: Mapping - http://statistics.gov.rw/publications/nisr-service-charter) in order to cover production costs.
Images, logos (including NISR logo), trademarks and other content owned by third parties, belong to their respective owners and cannot be reproduced without their consent.
No permission is necessary to hyperlink to pages on NISR website/s.
These Terms of Use may be changed at any time without notice.
[1] Written authorization delivered, upon request, by the National Institute of Statistics of Rwanda to any person undertaking a statistical survey, attesting that the survey respects the requirements, either at the level of its organization or at the level of publication of data that have come out of it. For more information on the visa, please refer to the visa manual of NISR.
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Metadata production
DDI_RWA_2023_SAS_v01_M_v01_A_ESS_FAO
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| National Institute of Statistics of Rwanda | NISR | Metadata Producer | |
| Alessia Marcobelli | Food and Agriculture Organization | Metadata adapted for FAM | |
| Development Economics Data Group | DECDG | The World Bank | Metadata adapted for World Bank Microdata Library |
Metadata version
Identical to a metadata (RWA_2023_RSAS_v01_EN_M_v01_A_ESS) published on FAO microdata repository (https://microdata.fao.org/index.php/catalog). Some of the metadata fields have been edited.