What does disaggregated data refer to?

Disaggregated data refers to data that is broken down by specific student sub-groups, such as race, gender, socioeconomic status, special education status, or English language proficiency. This approach allows educators and administrators to analyze performance and outcomes for different segments of the student population rather than only reviewing the aggregate results. By examining disaggregated data, stakeholders can identify achievement gaps, understand the needs of specific groups, and tailor interventions and supports accordingly.

Utilizing disaggregated data is critical for making informed decisions that can lead to improved educational strategies and accountability measures, ensuring that all students have the opportunity to succeed academically. This level of analysis empowers schools to focus on equity and address disparities in educational outcomes.