Data Infrastructure

Turn public data into decisions you can defend.

Whether a short-term program clears the Workforce Pell threshold, where A.I. is reshaping the work your programs train for, what graduates actually earn, and how fields compare on early-career outcomes. Four questions, answered from public data, open and fully reproducible.

Start with your question
A wooden ruler, kraft-paper notebook, and pencil arranged on a neutral surface

Start with your question.

Each component turns a public dataset into an answer you can act on and cite, grouped by the decision it informs. Free to use. Components marked Beta are in active development.

Workforce Pell · Live since July 1, 2026
Will your program qualify for Workforce Pell?
Workforce Pell is live, and only programs that clear the federal earnings test and win state approval qualify. Screen any program against the threshold, follow where your state stands in its approval pipeline, and compare how the live states define an eligible program.
Census PSEO Federal poverty line State / ED
A.I. & Labor Market Disruption
Which work is most exposed to A.I.?
See which occupations A.I. is most likely to reshape, and which of your academic programs feed into them. Exposure scored across 772 occupations and 1,786 programs, so you can guide students, target program investment, and ground board conversations in evidence.
O*NET BLS OES
Post-Secondary Earnings
What do graduates actually earn?
What graduates of a given program actually earn at 1, 5, and 10 years out, drawn from Census administrative wage records across 900+ institutions and 33 states. The evidence base for program review, student advising, and the case you make to funders, regulators, and your board.
Census PSEO
By Field of Study
Is this field of study a safe bet?
How 73 bachelor's fields compare on early-career pay, underemployment, and unemployment, with graduate counts so you see both the odds and the scale. For advising, program portfolio review, and workforce-alignment conversations with state and employer partners.
NY Fed IPEDS

Download the data.

The open CSV files behind the analyses. Each file matches its page and methodology note and carries a suggested citation, ready to copy.

ai-exposure-occupations.csv O*NETBLS OEWS
Occupation AI Exposure Index: 772 occupations (SOC) scored on digital intensity, human contact, and physical anchor, with the composite index and employment.
ai-exposure-programs.csv O*NETBLS OEWS
AI exposure for 1,786 academic programs (six-digit CIP), with the three underlying dimensions.
ai-exposure-by-state.csv AI Exposure IndexIPEDS 2023
Completion-weighted AI exposure for all 50 states and DC, with credential-mix shares and 2023 completion counts.
grad-labor-data.csv NY FedIPEDS
Recent-graduate outcomes for 73 fields of study: unemployment, underemployment, early and mid-career wages, and graduate counts.
underemployment-by-field.csv ACS microdata
Underemployment and unemployment rates by field of study, 2018 to 2024.

More datasets are published as analyses ship.


Built to be cited.

High-stakes decisions need numbers that hold up. Every figure here traces to a named public source and a published method, so it survives a board packet, a state approval file, or a peer review.

Graduate earnings come from tax records, not self-reported surveys.Census Bureau earnings outcomes, BLS wage and employment data, O*NET work characteristics, and New York Fed and IPEDS outcomes for recent graduates.

For methodology and data limits, see the technical notes on PSEO suppression, the Value-Added Test, and the AI Exposure Index.

Get in touch