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Open Payments Database (CMS Sunshine Act)

Every disclosed industry payment to physicians, non-physician practitioners, and teaching hospitals, program years 2013-2025, as a single queryable DuckDB database. 172,450,995 rows.

Table Description Rows Cols Coverage
general_payments General (non-research) payments and transfers of value to covered recipients, PY2013-2025 148,797,140 107 PY2013 to PY2025
research_payments Research payments (wide form, up to 5 principal investigators per record), PY2013-2025 10,995,016 268 PY2013 to PY2025
research_payment_investigators Long form of research-payment principal investigators: one row per (record, PI slot) 10,745,869 14 PY2013 to PY2025
covered_recipients Covered Recipient Profile Supplement: one row per physician/NPP profile with NPI 1,697,025 32 all years
deleted_records Record IDs deleted between publications (PY2016+; earlier years never had these files) 162,030 5 PY2016 to PY2024
ownership_payments Physician ownership and investment interests, PY2013-2025 53,915 31 PY2013 to PY2025

Query it remotely

INSTALL httpfs; LOAD httpfs;
ATTACH 'https://huggingface.co/datasets/Nason/openpayments-database/resolve/main/openpayments.duckdb'
    AS op (READ_ONLY);

SELECT applicable_manufacturer_or_applicable_gpo_making_payment_name AS maker,
       ROUND(SUM(total_amount_of_payment_usdollars) / 1e6, 1) AS millions
FROM op.general_payments
WHERE program_year = 2024
GROUP BY 1 ORDER BY 2 DESC LIMIT 10;

Joins to the cms-medicare datapond database on NPI — see the GitHub README for the worked Open Payments x Medicare utilization example and measured join rates.

Or with the datapond package: pip install datapond, then datapond.connect('openpayments').

Build pipeline, per-era column crosswalks, and full documentation: https://github.com/ian-nason/openpayments-database

Changelog

2026-07-07 — Initial release

  • Program years 2013-2025 from the June 2026 publication plus the frozen archive ZIPs (2013-2018 at their final republications).
  • 172.5M rows: general_payments 148.8M, research_payments 11.0M (+10.7M-row investigators long table), ownership_payments 54k, covered_recipients 1.7M, deleted_records 162k.
  • Typed columns (DECIMAL money, DATE dates, VARCHAR identifiers); per-era column crosswalk checked into the repo (Physician_* -> Covered_Recipient_* renames for 2013-2015; pre-2016 product columns kept era-specific).
  • Validated against CMS published magnitudes (PY2025: $3.9B general + $9.5B research + $0.2B ownership) and recognizable top manufacturers.
  • Cross-database NPI join to cms-medicare measured and documented (61.6% of PY2023 recipients; 63-83% for physician specialties; dentists ~0% as expected — they don't bill Medicare Part B).
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