ipeds

Script to batch download IPEDS survey files

Scripts to download and build panel data files for IPEDS.

A Python package for working with IPEDS data

Open Common Data Set API and archive for U.S. colleges — raw CDS PDFs, structured extracts, IPEDS/College Scorecard joins

Stata interface to IPEDS data sets

An R Project that creates quick and easy reports from IPEDS data.

Ask natural-language questions about U.S. colleges (IPEDS) and get answers with tables and charts — a self-hosted FastAPI + React app with an LLM NL→SQL agent.

Build a Postgres DB from IPEDS Access files

Multilevel Modeling of Postsecondary Retention Rates in the United States

This program combines information from both NZ and IZ, for both Alma and Alma Analytics

Automagically download labeled .dta versions of IPEDS data files using Stata or R (via haven)

Search for post-secondary schools with graduates with specified characteristics.

Data analysis of U.S. university budget allocation patterns (2018-2023). Analyzing why college tuition is expensive and where the money goes.

Beta, pre-release. Grades US higher-education institutions on what they disclose, not on how they perform. Every published value is classified as reported, implausible, suppressed, not applicable, or missing, and per-field disclosure drift between IPEDS and College Scorecard snapshots is measured in both directions.

Worspace devoted to decoding reverse engineering the NYT College Access Index.

R project predicting Black student graduation rates at HBCUs vs. PWIs using IPEDS data

Know your senior-year college bill before you enroll: IPEDS tuition projections and an aid-erosion engine (Next.js + Python ETL). Showcase of the live app at tuitioncreep.org (13-school sample).

College ROI, decoded — 30-year NPV of U.S. colleges and majors. FREOPP + IPEDS + BEA derived, CC BY 4.0, maintained by le-teen.com

Build a research-ready, QA-backed unbalanced UNITID-by-year IPEDS panel from NCES IPEDS Access databases (2004–2023) using a reproducible Python and SQL pipeline.