Federal education grants depend on an underlying framework of demographic, geographic, and economic statistics to distribute funding to states. This interactive pathway reveals those direct connections. Trace how Title I relies on SAIPE poverty estimates, how IDEA allocations are linked to population estimates (PEP), and how Perkins V is shaped by BEA per-capita income data. By mapping how administrative data flows into federal formulas, the Atlas highlights the real-world significance of these collections.
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Carl D. PerkinsCharter School GrantsIndividuals with Disabilities Education Act (IDEA)Title I, Part ATitle I, Part DTitle II, Part ATitle III, Part ATitle IV, Part ATitle VFederal grant
The Charter School Programs (CSP) grants provide funding to SEAs, and charter school founders, managers, and operators for the startup, replication, and expansion of high-quality public charter schools. The CSP grants are generally competitive grants awarded to charter schools, charter management organizations (CMOs), State Educational Agencies (SEAs), and other non-profit organizations that support charter schools.
CSP grants are generally competitive grants, with data from federal datasets used in the scoring rubrics, eligibility criteria, and application evaluation. While subparts of the CSP grant use CCD, EdFacts, and NPEFS to verify applicant eligibility and responses, SAIPE is used in the State Entities Grants and Developers Grants subparts as selection criteria in application scoring.
ESEA Sec. 4303 (20 USC 7221b) as amended by the Every Student Succeeds Act of 2015.
Federal education data are collected across various agencies and programs, making it difficult to see how the pieces fit together. The Data Atlas brings these collections into a unified guide, detailing each dataset’s purpose, connections, and relevance to K–12 policy.
We built the Data Atlas by starting with the questions that matter. Select a question to discover what each federal dataset can tell you and how it connects to real-world policy issues.
Federal education grants depend on an underlying framework of demographic, geographic, and economic statistics to distribute funding to states. This interactive pathway reveals those connections, showing how administrative data flow into federal funding formulas and highlighting the real-world significance of these collections.
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