Including the Washington Group on Disability Statistics questionnaires in surveys

Beyond sex-disaggregated data, it is crucial to collect data by disability status so researchers, practitioners, and policymakers can understand and…

Integrating verbal autopsies into CRVS

Less than a third of deaths are assigned without a cause, and low-income countries have the most gaps in cause-of-death-data….

Closing the CRVS coverage gap by including marriages and divorce

Civil registration and vital statistics (CRVS) cover data across major moments in time: births, deaths, marriages, divorces. Major initiatives across…

Using sex- and age-disaggregated data in humanitarian response

Humanitarian aid remains largely driven by anecdote rather than by evidence, where the contemporary humanitarian system has significant gaps in…

Analyzing sex and gender differences in COVID-19 infections

As a result of the COVID-19 pandemic, more men have been dying of acute COVID-19 infections, while women are projected…

Using CARE’s Rapid Gender Analysis for emergencies

In any disaster scenario, CARE’s Rapid Gender Analysis (RGA) identifies and meets the needs and capacities of women and men,…

Using Facebook’s Disaster Maps to understand how men and women are displaced differently

Big data can fill the gap in understanding how populations are affected after a natural disaster. As part of its…

Providing gender-relevant data during crises

There is a gender data gap in understanding how men and women are impacted in humanitarian settings. A study from…

Using the Gender-Age Marker tool during project design and monitoring

Having high-quality and disaggregated data are important for monitoring and evaluating outcomes in development programs. The Inter-Agency Standing Committee’s Gender-Age…

Using the Data Playbook to improve data literacy

To support decision-making during disasters, data literacy is crucial for development and humanitarian practitioners. The International Federation of the Red…