Sexdisaggregated

Sexdisaggregated data are statistics that are broken down by sex, typically male and female. The term is commonly written as sex-disaggregated data or sex-disaggregated statistics. By separating data in this way, analysts can identify differences in outcomes, access, and opportunities between sexes and monitor progress toward gender equality goals.

Applications span population statistics (births, deaths by sex), health indicators (life expectancy, mortality, maternal health), education and training (enrollment and attainment by sex), labor market measures (employment, wages, unemployment by sex), and social indicators (poverty, access to services, political participation).

Data are typically collected through censuses, surveys, and administrative records. Disaggregation by sex requires reliable sex information and consistent definitions. Many datasets use a binary classification, though some contexts include additional categories or record intersex and transgender identities. Data quality issues include nonresponse, misreporting, small sample sizes, and privacy constraints. Analysts should consider the distinction between biological sex and gender identity, as well as the social context that can influence observed gaps.

Sex-disaggregated data support evidence-based policy, program design, and monitoring under international frameworks such as the Sustainable Development Goals. They can reveal disparities hidden in aggregate figures but may suffer from data gaps, misclassification, or oversimplification if gender dimensions are not analyzed. Privacy, ethical considerations, and cultural sensitivity are important in data collection and reporting.