Trace the Data Driving Federal Formula Grants
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.
Federal formula grants and their data dependencies
Federal grant
Carl D. Perkins
About
Perkins V provides funds to states to develop the skills of students who enroll in career and technical education (CTE). Funds are allocated on a matching basis, meaning states put an equal amount toward CTE.
Grant calculation
States receive grants up to their matching amount based on (1) the size of their population ages 15-65 and (2) their average per-capita income over the past 3 years, while setting maximum and minimum state grant amounts based on various criteria. ACS provides estimated counts of population ages 15-65 in a school's region. The BEA (Bureau of Economic Analysis) provides average per-capita income in a school's region.
Dataset dependencies
Statutory citation
20 U.S.C. § 2301
Documentation
Elsewhere in the Data Atlas
Explore Federal K-12 Datasets
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.
Find Datasets by the Questions They Answer
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.
Trace the Data Driving Federal Formula Grants
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.