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Gender and Land Statistics: new FAO info-note based on a collaborative work with PIM

Reposted from the Engendering Data blog:

FAO Gender and Land team has recently published a new info-note on the linkages between Gender and Land Statistics.

Land statistics disaggregated by sex are essential to highlighting the disparities in secure land rights between women and men. With that in mind, in 2014 FAO joined forced with the CGIAR Research Program on Policies, Institutions, and Markets (PIM) to develop a common framework for producing sex-disaggregated indicators for FAO’s Gender and Land Rights Database (GLRD). As a result of this work, five indicators were developed. The new info-note provides an overview of the indicators, methodology behind them, and the key concepts that they capture.

FAO’s Gender and Land Rights Database (GLRD) launched its new and improved website in 2015 aiming to increase awareness about gender and land issues around the globe. PIM has been proud to be one of the partners of this initiative, especially because the new GLRD’s indicators of men’s and women’s control over land draw from those proposed in the PIM paper by Doss et al (2013), “Gender Inequalities in Ownership and Control of Land in Africa: Myth versus Reality”.

Read more on this topic in earlier blogs:

FAO’s Gender and Land Rights Database launches a new website

How sex-disaggregated land statistics can help monitor progress of the new Sustainable Development Goals (by Ana Paula de la O Campos (FAO))

Related publications:

Ana Paula de la O Campos, Nynne Warring, Chiara Brunelli, Cheryl Doss, and Caitlin Kieran. 2015. Gender and Land Statistics: Recent developments in FAO’s Gender and Land Rights Database. FAO/PIM Technical Note (pdf)

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Making sense of land, statistics, and gender

Making sense of land, statistics, and gender (pdf) is a new infographic from the Gender and Land Rights database (GLRD) of the FAO and the CGIAR Research Program on Policies, Institutions, and Markets (PIM). The infographic explores the correct use of land ownership statistics (ownership understood in a broad sense beyond individual property rights) and highlights how gender can influence land rights.

The infographic invites viewers to travel to a rural community in Sub-Saharan Africa to meet Tafadzwa, Wema, and Chimango who tell us about their landownership. Despite our hosts being part of the same extended family and contributing to the family farm, the data collected about them differ greatly as a result of their relationships to each other and to agricultural land.

Read on at the original posting on the FAO site.


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New post from EnGendering Data

How sex-disaggregated land statistics can help monitor progress of the new Sustainable Development Goals

For decades feminist economists and women’s rights advocates have made the case that the lack of data on women’s land rights has limited the ability to understand how this affects food security and rural poverty. However, recent developments may help us to overcome this challenge. The new SDGs have identified women’s land rights as a priority, setting them as targets in both Goal 1(end poverty in all its forms everywhere) and Goal 5 (achieve gender equality and empower all women and girls). Numerous UN agencies – including FAO and UN Women- are supporting the use of land indicators disaggregated by sex (in addition to type of tenure, age cohorts and ethnicity) to monitor targets regarding equal rights to economic resources, including land (t 1.4) and undertaking reforms to give women equal rights to economic resources (t 5a).

Read on at PIM’s EnGendering Data blog.


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New post on EnGendering Data Blog: Debunking the myth of female labor in African agriculture

Working in the field. Ghana. Photo Credit: Curt Carnemark / World Bank

Working in the field. Ghana. Photo Credit: Curt Carnemark / World Bank

EnGendering Data, a blog on improving data on the role of gender in agriculture, has a new post on female labor in African agriculture. Cheryl Doss shares new studies that “offer our most detailed understanding to date of rural economies in Africa” and challenge the widely cited “fact” that women in Africa provide 60-80% of the labor in agriculture. She then encourages a shift of focus to the question of how to effectively invest in women’s agricultural productivity, drawing on empirical evidence to chart a course.

Read the full post on the blog, here.


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New Post on the PIM EnGendering Data Blog: “Yours, Mine, and Ours” by Agnes Quisumbing

Food-allocations-757x1024

Increasing evidence demonstrates the importance of women’s control and ownership of assets for achieving important development outcomes. Yet, studies focusing exclusively on increasing women’s asset ownership and control, or increasing their ownership of a specific kind of asset, run the risk of missing what else is happening within a household. Does the woman increase control of some assets (perhaps the asset targeted by the program), but lose control of others? Do her assets increase, but those of her husband increase more? Or, are couples building their asset base jointly, such that looking only at his or hers, misses the big picture?

Read on at the PIM EnGendering Data Blog.


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New EnGendering Data blogpost: “Do you own the asset?”

The CGIAR Research Program on Policies, Markets, and Institutions (PIM) has another great post on the EnGendering Data blog.

In “Do you own the asset?”, R Padmaja and Dr. Cynthia Bantilan of ICRISAT discuss small but critical changes they made to their survey instrument to collect better data on women’s asset ownership.

Read the full post here, and join the conversation on Twitter by using #EnGenderingData!


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New post from Engendering Data blog: “Avoiding the Risk of the Unknown”

The CGIAR research program on Policies, Institutions, and Markets recently launched an exciting blog, Engendering Data, which brings in diverse expert perspectives on collecting and analyzing sex-disaggregated data to improve the knowledge base on the role of gender in agriculture and food security.

In a new post, Avoiding the Risk of the Unknown, Sonia Aker, leader of the Gender Research Team at the International Rice Research Institute (IRRI), discusses her team’s innovative approach to surveying women for a study on index insurance in coastal Bangladesh. She concludes with some interesting findings on women’s decision-making and insurance demand.

Visit the Engendering Data blog to read Avoiding the Risk of the Unknown: Lessons learned from a gender inclusive survey on index insurance in coastal Bangladesh. 

Please follow the conversation on Twitter by using the hashtag #EnGenderingData!