In the Atlas prototype, data has not been disaggregated by gender identity. It only provides a breakdown based on the traditional categories of female and male.

We are profoundly aware that many young people identify with a wide spectrum of gender-diverse identities, which go beyond the binary concept of female and male. These identities include terms such as non-binary, gender fluid, gender questioning, agender, and others that best represent their gender identity.

The process of disaggregating data by these gender identities presents several challenges. Often, existing data collection methods do not yet capture this information, and even when they do, privacy concerns may necessitate data suppression due to small sample sizes or data quality issues.