Funding for gender data decreased by 55% in 2020 — nearly three times the drop in funding to data and statistics overall. But a four-part strategy to support data for SDG 5 could reverse this trend.
The world is behind in collecting and producing the data needed to measure gender equality, slowing progress towards achieving this critical human rights and development goal. Will UNGA act to chart a new course?
Investing in data ecosystems that include gender is vital to responding to pandemics, climate change, and global conflicts. But closing the gender data financing gap needs a strategy to make funding to go further in a time of scarcity.
How can countries, development actors and other partners accelerate the pace to finance gender data? Research suggests three ways.
As shown by the Gender Data Network in Africa, knowledge exchange between countries is key to addressing capacity, funding, and other challenges to have data needed to reach SDGs.
A review of 20 indexes covering women’s empowerment and gender equality brings a call for new good practice standards, including transparency guidelines that spell out the assumptions or judgements behind the data and rankings.
Accessible and timely sex-disaggregated data are critical in helping policymakers understand and address the unique challenges that women and girls face. But do investments in gender statistics match their importance?
Foreign Policy’s recent “Her Power Summit” reminded us that, while mastering the complexities of gender data is crucial, it is equally important to recognize the leaders charting the course to a more data-equitable world, and the barriers they often face.
The Generation Equality Forum defined bold commitments to advance gender equality and women’s empowerment across the globe, launching a global 5-year action plan backed by $40-billion in new funding.
International Women’s Day is a day to note the contributions of women to the economy, society, and their families. In 2021, we call on governments, civil society, and the private sector to fill gaps in our knowledge by building statistical systems that leave no woman or girl behind.