Why Is Disaggregation Important?

Fully disaggregating data helps to expose hidden trends, it can enable the identification of vulnerable populations for instance, or it can help establish the scope of the problem and can make vulnerable groups more visible to policy makers.

Why is disaggregation of data important?

Disaggregating data is important to reveal patterns that can be masked by larger, aggregate data. Looking specifically at sub-populations can help make sure that resources are spent on the areas and students where they are most needed and can have the biggest impact.

What does disaggregation of data mean?

Disaggregated data is data that has been broken down by detailed sub-categories, for example by marginalised group, gender, region or level of education. Disaggregated data can reveal deprivations and inequalities that may not be fully reflected in aggregated data.