Towards Women’s Financial Inclusion: A Gender Data Diagnostic of Nigeria

This diagnostic highlights gaps and opportunities in sex-disaggregating financial data in Nigeria and tests the WFID Partnership’s theory of change….

State of Gender Data Financing – 2021

The lessons learned through the COVID-19 pandemic confirm the importance of and need for better gender data and the immediate…

Bridging the Gap: Mapping Gender Data Availability in Africa, Latin America and the Caribbean, and Asia and the Pacific (Methodology)

This report provides the methodology for our Bridging the Gap work in Africa and Latin America and the Caribbean.

Bridging the Gap Asia: Key Findings and Recommendations

How can we understand, identify, and respond to the ongoing challenge of producing policy-relevant data about the lives of women…

Bridging the Gap: Mapping Gender Data Availability in Asia and the Pacific

Where are there gaps in gender data in five countries in Asia and the Pacific, why do these gaps occur,…

The Landscape of Big Data and Gender: A Data2X Update

The motivating belief of Data2X is that greater capture, analysis, and use of data catalyzes gender equality. Over the last…

Strengthening Gender Measures and Data in the COVID-19 Era: An Urgent Need for Change

COVID-19 may be gender blind, but it is not gender-neutral. Emerging evidence shows tremendous gender disparities in the health and…

Measuring Women’s Economic Empowerment: A Compendium of Selected Tools

Any attempt at measurement should begin with a clear understanding of what is being measured. This is a first and…

Making Women’s Work Visible: The 19th ICLS Standards, Purpose, and Progress

Unpaid work — such as caretaking, subsistence farming, cooking, and cleaning — overwhelmingly falls on the shoulders of women. This…

Understanding Women’s and Girls’ Vulnerabilities to the COVID-19 Pandemic: A Gender Analysis and Data Dashboard of Low- and Lower-Middle Income Countries

In which low- and lower-middle income countries are women and girls most exposed to or at most risk to suffer…