This comprehensive data portal enables anyone to build and analyze their own dataset on schools, districts, and colleges. Connect to the data via CSV download or Urban Institute’s full API.

Taken together, these two data sets compiled from American Community Survey data show a complete picture of the educational resources children can access from a young age. Anyone can combine this data with the ACS’s race and ethnicity and geography data to discover deeper trends and correlations.

During COVID-19, systemic inequities have impacted students’ success in remote learning. This dataset gives a sense of some of the household conditions by geographic area that could have an effect on students’ ability to learn at home.
 

This dataset provides a comprehensive look at how much funding states allocate toward children’s development. It comprises a number of different metrics, including overall spend on Pre-K-12 education and programs like Headstart, but it also includes important data on health and economic programs to show the intersection of all of these factors.

The Educational Opportunity Project at Stanford University produces national data on academic performance across three main indicators: average test scores, learning opportunities, and test scores over time. These data are accessible down to the community level and broken down by race for deeper insights.

These data track education outcomes that are not test-score based such as school discipline, access to advanced coursework, and school safety. The data are disaggregated by race and available at the school and district level to enable comparison.  

This dataset was compiled by the journalism organization ProPublica using a variety of administrative datasets published by the National Center for Education Statistics (NCES). This data allows quick and easy calculation and evaluation of the degree of segregation by race in public schools in the United States.