Rwanda’s Climate Adaptation Monitoring, Evaluation, and Learning System in the Agriculture Sector: Data and information collection and management

The document assesses Rwanda's monitoring, evaluation, and learning (MEL) system for climate adaptation in agriculture, focusing on 10 specific NDC indicators. It identifies that while output-level tracking is well-established through the Ministry of Agriculture and Animal Resources (MINAGRI) and Ministry of Environment (MoE) information systems, there are significant gaps in tracking medium-term outcomes, gender-disaggregated data, and the integration of different sectoral databases.

• Rwanda has established 10 specific indicators to track six priority adaptation interventions in the agriculture sector, with 2020 serving as the common baseline year.
• Six of the 10 agricultural adaptation indicators are currently monitored via the MINAGRI Management Information System (MIS), which utilizes data from annual reports and National Institute of Statistics of Rwanda (NISR) surveys.
• The Ministry of Environment (MoE) uses the Environment and Natural Resources Management Information System (ENR MIS), updated in 2022 to include an NDC Tracking Application, and plans to integrate this with the MINAGRI MIS to streamline data collection.
• Current indicators primarily track short-term outputs rather than medium-term outcomes; for example, while irrigation is measured by hectares of land, the outcome of decreased farmer vulnerability is more difficult to identify.
• There is a lack of context-specific gender considerations in the NDC indicators, and the document recommends disaggregating data by gender for indicators such as the use of surveillance tools and the uptake of crop insurance.
• Several indicators are not currently tracked in the MINAGRI MIS, including the number of cows under insurance and the number of farmers using surveillance tools like the FAW database and BXW app.

APA

Tsinda, A., Cyiza, B., & Ntaganda, B. (2023). Rwanda’s Climate Adaptation Monitoring, Evaluation, and Learning System in the Agriculture Sector: Data and information collection and management. NAP Global Network. https://napglobalnetwork.org/wp-content/uploads/2023/05/napgn-en-2023-brief-2-rwanda-mel-agriculture-final.pdf

Chicago

Tsinda, Aimé, Beatrice Cyiza, and Brenda Ntaganda. Rwanda’s Climate Adaptation Monitoring, Evaluation, and Learning System in the Agriculture Sector: Data and information collection and management. NAP Global Network, 2023. https://napglobalnetwork.org/wp-content/uploads/2023/05/napgn-en-2023-brief-2-rwanda-mel-agriculture-final.pdf.

Wikipedia

{{cite report |last1=Tsinda |first1=Aimé |last2=Cyiza |first2=Beatrice |last3=Ntaganda |first3=Brenda |title=Rwanda’s Climate Adaptation Monitoring, Evaluation, and Learning System in the Agriculture Sector: Data and information collection and management |publisher=NAP Global Network |date=March 2023 |url=https://napglobalnetwork.org/wp-content/uploads/2023/05/napgn-en-2023-brief-2-rwanda-mel-agriculture-final.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{tsinda2023rwandas, author = {Tsinda, Aimé and Cyiza, Beatrice and Ntaganda, Brenda}, title = {{Rwanda’s Climate Adaptation Monitoring, Evaluation, and Learning System in the Agriculture Sector: Data and information collection and management}}, institution = {NAP Global Network}, year = {2023}, month = mar, url = {https://napglobalnetwork.org/wp-content/uploads/2023/05/napgn-en-2023-brief-2-rwanda-mel-agriculture-final.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }