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Book (stand-alone)Guidelines on data disaggregation for SDG Indicators using survey data 2021
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No results found.As a member of the working group on data disaggregation, the Food and Agriculture Organization of the United Nations (FAO) has taken numerous steps towards supporting Member Countries in the production of disaggregated estimates. Within this framework, these Guidelines offer methodological and practical guidance for the production of direct and indirect disaggregated estimates of SDG indicators having surveys as their main or preferred data source. Furthermore, the publication provides tools to assess the accuracy of these estimates and presents strategies for the improvement of output quality, including Small Area Estimation methods. -
Book (stand-alone)Integrating surveys with geospatial data through small area estimation to disaggregate SDG indicators at subnational level
Case study on SDG Indicators 2.3.1 and 2.3.2
2023Also available in:
No results found.The present technical report illustrates a case study on the adoption of small area estimation techniques to produce granular sub-national estimates of SDG Indicators 2.3.1 and 2.3.2, by integrating survey microdata with auxiliary information retrieved from various trustworthy geospatial information systems. The technical report provides practical guidance to national statistical offices and other institutions wanting to implement small area estimation techniques on SDG Indicators 2.3.1 and 2.3.2 or similar indicators based on surveys microdata. -
Brochure, flyer, fact-sheetUse of AGRISurvey data for computing SDG’s and national indicators: Experience in three countries
AGRISurvey: Country brief
2021Also available in:
No results found.FAO AGRISurvey programme helps countries strengthening their national agricultural surveys systems and promotes the access and use of agricultural statistics. The programme supports countries in monitoring the targets set by the 2030 Development Agenda for the agricultural sector. In particular, the programme has provided support to Cambodia, Senegal and Uganda in monitoring the Sustainable Development Goals (SDG) Indicators 2.3.1, 2.3.2, 2.4.1 and 5.a.1. This brief presents the example of Cambodia, Senegal and Uganda to demonstrate how the Programme can make the difference in improving the country capacity to monitor the progress of the agricultural sector and to use the data for policy design. The activities in the three countries will continue under the 50x2030 Initiative to Close the Agricultural Data Gap.
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