Gender-disaggregated data

Gender-disaggregated data refers to information that is separated by gender, typically male and female, to highlight differences or similarities between them. It helps us understand how various factors—like education, health, employment, or access to services—affect men and women differently. By analyzing this data, policymakers and organizations can identify inequalities and develop targeted strategies to promote fairness and improve outcomes for everyone. Essentially, it’s a way of capturing and comparing key data points for different genders to support more informed and equitable decision-making.