US Healthcare Provider Density
How many healthcare providers of each specialty practise in each US county - the aggregate density panel built from CMS's National Plan & Provider Enumeration System (NPPES). The ~8M-row national provider file rolled up to counts by provider taxonomy (specialty) x county FIPS: total providers, plus the split between individual (NPI-1) and organisation (NPI-2) enumerations. No individual providers, names or addresses - aggregate counts only, joins cleanly to Census, CDC PLACES and demographic panels. Public domain (CMS/NPPES).
- Source
- NPPES_DENSITY
- Licence
- Redistributable open data
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- Provider counts by specialty (NUCC taxonomy) x US county FIPS - the density panel
- Individual (NPI-1) vs organisation (NPI-2) split, plus the combined total
- Rolled up from the full ~8M-provider NPPES national file - aggregate only, no PII
- Taxonomy code + human-readable classification & grouping for easy filtering
- Joins on 5-digit county FIPS to Census / CDC PLACES / demographic data
- Public domain (U.S. CMS National Plan & Provider Enumeration System)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| taxonomy_code | str | NUCC provider taxonomy code (specialty) | 100.0% | 871 |
| taxonomy_classification | str | Human-readable specialty / classification | 58.8% | 450 |
| taxonomy_group | str | Broader taxonomy grouping | 58.8% | 34 |
| county_fips | str | 5-digit county FIPS (practice location) | 100.0% | 3,210 |
| state | str | US state / territory (from county FIPS) | 100.0% | 56 |
| provider_count | int | Total providers of this taxonomy in this county | 100.0% | 1,708 |
| individual_count | int | Individual providers (NPI type 1) | 100.0% | 1,606 |
| org_count | int | Organisation providers (NPI type 2) | 100.0% | 596 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: NPPES_DENSITY (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-healthcare-provider-density_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
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