Sex-disaggregated data is typically collected and analyzed in two biological categories: males and females, and then used to develop programs and policies. Sex-disaggregated health data tells you the numbers of men and women affected by a particular disease, condition, or cause of death (Gender Equity Unit, 2024). For example, human biomonitoring data is often disaggregated by sex for comparing population exposures between the sexes. When data is not disaggregated by sex, it is more difficult to identify real and potential inequalities (UNICEF, 2017).