This policy brief shows the need for more inclusive gender data collection in global health and development programs. In this brief, you will find information on how current binary male-female data metrics render transgender and gender diverse people invisible and how this exclusion propagates harmful discrimination and health disparities. 

The brief provides insight on practices and strategies that capture multi-categorical gender data. Some strategies mentioned include training data collectors in gender sensitivity, matching them to respondent identities, and building trust and confidentiality. Examples of surveys and systems expanding gender response options beyond the gender binary are also provided in the brief.  

Counting and disaggregating gender identity is crucial to expose inequities and inform supportive policies. Though challenges exist, thoughtful data practices can validate diverse gender identities and provide insights to improve well-being.