Disaggregated Data is data that has been divided into detailed sub-categories. Disaggregated data in the higher education space is often broken down into categories such as region, gender and ethnicity. It can reveal inequalities between different sub-categories that aggregated data cannot. Most disaggregated data is numerical, but it is possible to have categorical disaggregated data as well.
Disaggregated Data has either been collected from a variety of sources or through multiple measures, or was previously aggregated data that has been broken down into smaller units. This can allow for an in-depth look at trends across different population groups, as well as across an entire population.