2.6 million US physicians, nurse practitioners and healthcare organisations keyed by NPI, with specialties, practice locations, hospital affiliations and licence status.
Data product · Listing updated 11 Nov 2026
United States
NPPES changes reflected within 7 days
2.6 million providers and 410,000 organisations
Small and medium businesses, Mid-market, Enterprises
CMS NPPES, provider enrolment files, state licensing boards and hospital websites
Weekly ingestion, address standardisation and affiliation matching with manual review of conflicts
A clean, deduplicated view of who practises where in US healthcare, built on the public NPI registry and enriched with affiliations and licensing.
The backbone is CMS's National Plan and Provider Enumeration System, which Willowbrook loads weekly. Affiliations come from CMS provider enrolment files, hospital websites and medical staff directories, matched with rules and manual review of conflicts. Licence status comes from state licensing boards. The dataset contains professional information about providers in their work capacity only; it holds no patient data. Records are standardised to USPS address formats and geocoded. History starts in 2008, so you can see when providers moved or changed specialty.
14 fields as documented by Willowbrook Health Data.
| Field | Type | Description | Example |
|---|---|---|---|
| npi | string | 10-digit National Provider Identifier | — |
| provider_type | string | individual or organization | — |
| full_name | string | Provider or organisation name | — |
| credential | string | Credential such as MD, DO, NP or PA | — |
| primary_taxonomy_code | string | Primary healthcare provider taxonomy code | — |
| specialty | string | Readable specialty name | — |
| practice_address | string | Standardised practice location | — |
| practice_phone | string | Practice location phone number | — |
| hospital_affiliations | json | Affiliated hospitals with IDs | — |
| group_practice_id | string | Group practice identifier | — |
| licence_states | json | States where the provider holds a licence | — |
| licence_status | string | active, inactive or expired | — |
| medicare_enrolled | boolean | Enrolled in Medicare | — |
| last_updated | date | Last change detected | — |
Real rows from the provider's sample file. Personal data is masked before anything is shown.
| npistring | full_namestring | credentialstring | specialtystring | practice_addressstring | licence_statusstring |
|---|---|---|---|---|---|
| 1234567893 | Jordan Example | MD | Cardiovascular disease | 100 Demo Medical Plaza, Springfield, IL | active |
| 1234567802 | Sam Sample | NP | Family nurse practitioner | 22 Example Ave, Columbus, OH | active |
| 1234567811 | Demo Community Clinic | null | Federally qualified health center | 5 Sample St, Tucson, AZ | active |
Prices in USD, as published by Willowbrook Health Data
national file, weekly refresh
per provider record, one-off extracts
Converted amounts use DataStoa display rates and are approximate. Willowbrook Health Data quotes the final price, taxes and terms.
Request detailed pricing1 country.
Time coverage: 2008 to present.
Provider-reported
Latency: NPPES changes reflected within 7 days
DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.
The licence is agreed directly between you and Willowbrook Health Data. This summary is provider-reported; the linked terms prevail.
Not listed: AI / ML model training, AI retrieval and grounding, redistribution allowed, research use. Ask Willowbrook Health Data if you need any of these.
US provider, clinical trial, claims and drug pricing data
Willowbrook Health Data turns public healthcare registries and de-identified claims into analysis-ready datasets for pharma, payers and health-tech companies. It works only with professional, trial, product and aggregated data, and never sells patient-level records.
Also available on: Snowflake Marketplace, AWS Data Exchange, Databricks Marketplace
What buyers say about Willowbrook Health Data. Reviews cover the provider, not only this listing.
from 2 reviews
Procedure volumes by region gave us a defensible market size for a new device. Small cells are suppressed, so rare procedures in small regions come back empty, which is the correct trade-off for de-identified data.
Carlos E., Market access analyst, Medical device maker
Provider-to-hospital and group-practice affiliations were more current than our previous source, which improved territory alignment. Price is at the high end, so we licensed the national file without the API.
Beth A., Commercial analytics director, Specialty pharma company