What does “disaggregation of data” mean?

The term "disaggregation of data" specifically refers to the process of breaking down data into sub-groups to allow for a more detailed analysis. This practice enables researchers and evaluators to examine specific populations or characteristics within a dataset, revealing insights that might be obscured when looking at aggregated data. For instance, disaggregating data by age, gender, ethnicity, or geographic location helps identify disparities and trends that could be critical for understanding issues more comprehensively and for tailoring interventions effectively.

Disaggregation is essential in fields such as public health, education, and social sciences, where understanding the differences among various sub-groups can lead to more informed decision-making and policy development. By analyzing these sub-groups, stakeholders can implement targeted strategies to address the unique needs of different demographics.