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CMS Medicare Physician & Other Supplier Database
A clean, queryable DuckDB database built from the CMS Medicare Physician & Other Practitioners Public Use Files -- provider-level Medicare Part B claims data from CY2012 through CY2023.
121,707,609 rows across 3 tables covering what every physician billed, what Medicare paid, and how many services and beneficiaries per NPI per HCPCS code.
Built with cms-medicare-database.
Quick Start
DuckDB CLI
INSTALL httpfs;
LOAD httpfs;
ATTACH 'https://huggingface.co/datasets/Nason/cms-medicare-database/resolve/main/cms_medicare.duckdb' AS cms (READ_ONLY);
-- Total Medicare spending by year
SELECT year, ROUND(SUM(line_srvc_cnt * avg_medicare_payment_amt) / 1e9, 2) AS total_spending_billions
FROM cms.physician_services
GROUP BY year ORDER BY year;
Python
import duckdb
con = duckdb.connect()
con.sql("INSTALL httpfs; LOAD httpfs;")
con.sql("""
ATTACH 'https://huggingface.co/datasets/Nason/cms-medicare-database/resolve/main/cms_medicare.duckdb'
AS cms (READ_ONLY)
""")
con.sql("SELECT * FROM cms.physician_services LIMIT 5").show()
DuckDB uses HTTP range requests, so only the pages needed for your query are downloaded.
Tables
| Table | Description | Rows |
|---|---|---|
physician_services |
Provider-level Medicare Part B claims: one row per NPI per HCPCS code per place | 106,515,734 |
physician_summary |
Provider-level aggregate summary: one row per NPI per year with total services, | 12,232,194 |
geography_service |
Geographic aggregate: Medicare utilization and payment by state/national level, | 2,959,681 |
Data Source
CMS Medicare Physician & Other Practitioners PUF -- maintained by CMS. Updated annually. Public domain U.S. government data. HCPCS descriptions include AMA CPT content used under CMS license.
License
Database build code: MIT. Underlying data: public domain (U.S. government work). Note: HCPCS descriptions contain AMA CPT content included as provided by CMS in the PUF.
GitHub
Full source code, build instructions, and data dictionary: github.com/ian-nason/cms-medicare-database
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