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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. -
DocumentSDG Indicator 2.4.1 Guidelines on Data Analysis and Reporting
01/08/2023
2021These guidelines have been prepared in support of the methodological concept note of SDG Indicator 2.4.1, particularly the data analysis and reporting on the indicator by the Food and Agriculture Organization of the United Nations (FAO), in collaboration with the Global Strategy to improve Agricultural and Rural Statistics (GSARS). -
Book (stand-alone)Guidelines on data disaggregation for SDG Indicators using survey data 2021
Also available in:
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.
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