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Core set of gender indicators in Agriculture









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    Brochure, flyer, fact-sheet
    Core set of gender indicators in Agriculture 2016
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    The FAO, in the effort to assist its Member countries, proposed a simple unified methodology to guide the collection and analysis of gender-sensitive data in agriculture: the Socio-Economic and Gender Analysis approach or SEAGA. This methodology has been instrumental by the FAO Regional Office for Europe and Central Asia in developing a core set of gender indicators for further integration into national agricultural statistical systems.
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    Booklet
    Guidance note on gender-sensitive vulnerability assessments in agriculture 2018
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    This guidance note was developed to support development and humanitarian practitioners in carrying out a gender-sensitive vulnerability assessment, in order to identify and address the main sources of vulnerability of men and women in the agriculture sector. The note describes what are the main constraints that male and female farmers face in the agriculture sector, with a focus on climate change. It also provides an overview of available sources and methodologies to collect and analyze sex-disaggregated data. The specific aspects of climate change and targeted outcomes for men and women can vary widely across diverse areas, so this note discusses data sources and empirical approaches that can be applied across different contexts.
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    Making sense of gender and land statistics 2016
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    Land statistics disaggregated by sex are useful for showcasing the disparities in land rights between women and men. They also provide a sense of women’s economic empowerment in agriculture. Unfortunately, land statistics are not always used properly. We want to help you understand and interpret better the different land statistics available in FAO’s Gender and Land Rights Database (GLRD). We invite you to travel with us to a rural community in Sub-Saharan Africa and meet Tafadzwa, Wema and Chim ango who will tell us their story. Our hosts are part of the same extended family, they all contribute to the family farm and yet the data collected about them differ greatly as a result of their relationships to each other and to agricultural land. Their situation reflects well the situation in their country about gender differences in land rights.

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