truewise-data

Clean, ready-to-use data on the economic value of US college programs, median earnings versus a typical high-school graduate, derived from the U.S. Department of Education's College Scorecard. No API key, no 178-column bulk files, no decoding suppression flags: one clean table, offline.

pip install truewise-data

import truewise_data as tw

df = tw.load_value_check()  # one row per school x field of study x credential
df = tw.load_value_check(decided_only=True)  # drop insufficient-data rows

# Which programs leave graduates earning less than a typical HS grad?
fails = df[df.value_flag == "fails_earnings_premium"]
fails.groupby("cip_desc").size().sort_values(ascending=False).head(10)

tw.load_summary()  # national + state summary stats
tw.meta()  # dataset version, source release, license

What's in it

One row per institution × 4-digit CIP code × credential level. Key columns:

Suppressed small-cohort values are NULL, never imputed. Earnings mirror what ED publishes on the consumer College Scorecard site (4-year measure). Full methodology and an accuracy audit: https://github.com/ndranandraj/truewise.

License

Code MIT. Data is CC-BY-4.0, free to use with attribution to Truewise (https://truewise.dev). Underlying figures are US federal public-domain works.

Citation

If you use this dataset, please cite it (a DOI is minted per release via Zenodo, see the repository releases page).