Data-Driven Gender Equality

Friday, September 15, 2017

Data-Driven Gender Equality 

Closing the gender gap in agriculture, meanwhile, could have an even more profound impact on families and productivity in the developing world. Today, for example, women make up nearly half of the agricultural workforce in Sub-Saharan Africa. Yet, they typically work smaller, less productive plots of land than men, and often lack access to the best seeds, fertilizer, credit, and training opportunities. Studies show that giving women more decision-making power over productive assets has the potential to increase farm yields by more than 20%, which is essential to “end poverty in all its forms everywhere” by 2030 (SDG 1).

To help fill data gaps, the Bill & Melinda Gates Foundation has created a three-year, $80 million initiative to generate more reliable data that can improve the design and targeting of programs and policy interventions. As part of that effort, the foundation recently launched a $10 million partnership with UN Women to help countries improve the quality of the gender-specific data they collect. The foundation is also supporting Equal Measures 2030, an initiative to empower advocates and civil-society groups with easy-to-use evidence to assess progress toward targets and keep the SDGs for women and girls on track...

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