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.
Choose a federal grant
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
Title I, Part D provides supplemental funding to support the education of neglected, delinquent, or at-risk children and youth, facilitating their successful transition from institutional or correctional settings back into the community, school, or the workforce.
Subpart 1 grants to state agencies are calculated by adjusting the number of students in state-operated institutions (reported to EdFacts) by a percentage of the state's average per-pupil spending from NPEFS. Subpart 2 grants to LEAs are determined through a carve-out of Title I, Part A state allocations by taking a ratio of the number of children in local neglected or delinquent facilities and applying it to the district's Title I, Part A formula child count which is derived from SAIPE.
Also feeds
ESEA Sec. 1412 (20 U.S.C. § 6432), ESEA Sec. 1422 (20 U.S.C. § 6452) all 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.
You are here