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
Title I, Part A is the largest federal K-12 grant program, designed to provide all children significant opportunity to receive a fair, equitable, and high-quality education, and to close educational achievement gaps. Title I, Part A funds are supplemental resources for LEAs to help schools improve learning outcomes for underserved students.
Title I, Part A uses four formulas to calculate state allocations. The Basic, Concentrated, and Targeted grants leverage SAIPE to allocate funding based on the number and concentration of school-aged children living in families below the poverty line. The Education Finance Incentive Grant utilizes SAIPE to allocate resources to states based on the number of school-aged children living in families below the poverty line, with adjustments to reward states for spending more on education relative to capacity (determined using BEA income data and Census Bureau F-33 data), and spreading funds equitably across school districts.
Also feeds
Also feeds
ESEA Sec. 1001 (20 U.S.C. 6301), Basic/Concentrated/Targeted: ESEA Sec. 1124 (20 U.S.C. § 6333), Sec. 1124A (20 U.S.C. § 6334), Sec. 1125 (20 U.S.C. § 6335), EFIG: ESEA Sec. 1125A (20 U.S.C. 6337), 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.
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