Time use data for paid and unpaid work reveal where informed policies can have real impact on, for example, social protection, gendered labor, care-giving, the economy and the environment. This brief explores the trends and potential of time use data and evaluates examples of impact already seen in various countries.
While traditional data disaggregation — separating data by gender, age, or income — helps identify disparities, it often misses how multiple factors overlap. Intersectional data allows us to see the full picture.
This brief provides a practical guide for planning to build better data systems by integrating intersectionality at each stage of the data value chain, improving the quality and value of data, and creating meaningful impact.
Gender data is now deeply woven into SDGs with ten notable areas of achivement to close data gaps, integrate gender data into policymaking, and create lasting partnerships that improve gender equality worldwide.
Well-resourced statistical systems ensure accurate and comprehensive gender-disaggregated data essential to informed policymaking. But countries are facing tightening international assistance for data, so this report examines options for domestic resourcing to assure sustainability and autonomy of national statistical initiatives.
Focusing on individual transaction data from ODA projects, this research analysis shows how adequate financing of reliable and nuanced gender data can identify and address gender disparities with truly effective policies, interventions, monitoring and accountabiliy.
Though leaving Gates Foundation, Melinda French Gates will continue to champion evidence-informed gender equality through her Pivotal Ventures group, with $1 billion for integration of gender equality into core values and practices at national, local, and global levels.
Intersectionality is a concept that uncovers the challenges faced by people who have multiple, intersecting group identities. Gathering insights from development, feminist, and identity theories, this concept note translates intersectionality into practical guidance for national development data.
Data2X launches a new program on gender data and intersectionality in the context of development to answer questions about how to include certain excluded groups in measurement instruments, and how to address related legal, data governance, technical and financing issues.
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.