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
IDEA is the federal law that makes available a free appropriate public education to eligible children with disabilities, and ensures these students receive special education and related services. Part B (over 90% of all IDEA funds) provides funds for the education of children with disabilities. School districts must identify, locate, and evaluate all children with disabilities so states can then allocate IDEA funds down to districts to support their education.
IDEA contains several grant calculations. Part B uses the 1999 grant as a baseline before allocating new resources based on the state's youth population (85%) from the Census Bureau (PEP) and youth poverty rate (15%) from SAIPE. Part C allocates resources based on the state's share of infants and toddlers compared to the national count, from the Census Bureau (PEP).
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20 U.S.C. § 1400
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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