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Brochure, flyer, fact-sheetData snapshot using sex-disaggregated data to better understand gender gaps in agriculture 2022
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No results found.The brochure provides data disaggregated by sex on various issues under the following topics: Small family farms and women's decision-making roles in agriculture Secure rights over land Employment, work and time use in agricultural contexts Access to digitalization and financial services Food security It also identifies some of the areas in the rural and agricultural contexts where there is only a partial understanding of the reality due to the lack of sex‑disaggregated data and gender-relevant statistics. -
Book (stand-alone)Using small area estimation for data disaggregation of SDG indicators
Case study based on SDG Indicator 5.a.1
2022Also available in:
No results found.This technical report presents a case study based on the use of a small area estimation (SAE) approach to produce disaggregated estimates of SDG Indicator 5.a.1 by sex and at granular sub-national level. In particular, after introducing the framework for using SAE techniques, the report discusses a possible model-based technique to integrate a household or agricultural survey measuring the indicator of interest with census microdata, in order to borrow strength from a more comprehensive data source and produce estimates of higher quality. The discussed estimation approach could also be extended or customized for the integration of survey data with alternative data sources, such as administrative records, and/or geospatial information, and for the disaggregation of other (SDG) indicators based on survey microdata. -
DocumentSex-Disaggregated Data and Gender Indicators in Agriculture- A Review of data Gaps and Good Practices 2016
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