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Data Platform/Audit Pack/Dermatology Provider Supply by State
AUDIT PACK · v2026.05.0

Dermatology Provider Supply by State

Active U.S. dermatologists per 100,000 residents, by state, from the public CMS NPI Registry.

Methodology versionv2026.05.0
Last snapshot2026-05-06
Refresh cadenceQuarterly NPPES refresh; annual Census denominator update.
Spatial resolutionState (50 + DC)
Records18,765 dermatologists
State coverage51 states + DC
Download Audit Pack (PDF) →Download Audit Pack (JSON) →Free. No login. Versioned. Cite in your audit response.

Looking for the public per-dataset methodology page (citations + version history) to link from your product? /methodology/dermatology-supply →

What's in this pack

  • Source families: CMS NPPES NPI Registry (public API) · U.S. Census Bureau Population Estimates Program (PEP) V2025
  • Spatial resolution: State (50 + DC). NPPES does not publish a county-level field of practice in its public API.
  • Temporal coverage: 2026 snapshot (NPPES queried 2026-05-06; Census 2024 vintage).
  • Refresh cadence: Quarterly NPPES refresh; annual Census denominator update.
  • Scope: 18,765 dermatologists across 51 states + DC. Snapshot date: 2026-05-06.

Per-field provenance map

Every field surfaced from this dataset, with source attribution, refresh cadence, and confidence score. Verbatim source values are confidence 1.0; Fonteum-derived metrics (per-100k, ranks) are 0.95 with the derivation logic in the reproducibility statement below.

FieldSourceRefreshConfidence
npi
Individual provider NPI (10-digit).
CMS NPPES NPI Registry (public API)Quarterly1.00 ✓
taxonomy_codes
All NUCC taxonomy codes attached to the record (primary + subspecialties).
CMS NPPES NPI Registry (public API)Quarterly1.00 ✓
taxonomy_primary
The provider's primary NUCC taxonomy code.
CMS NPPES NPI Registry (public API)Quarterly1.00 ✓
state
Practice-address state (USPS code) at the time of NPPES record's last_updated.
CMS NPPES NPI Registry (public API)Quarterly1.00 ✓
city
Practice-address city at the time of NPPES record's last_updated.
CMS NPPES NPI Registry (public API)Quarterly1.00 ✓
last_updated
When CMS last modified the NPPES record. Reflects record freshness, not Fonteum snapshot date.
CMS NPPES NPI Registry (public API)Quarterly1.00 ✓
population_2024
PEP V2025 state population estimate for 2024 vintage.
U.S. Census Bureau Population Estimates Program (PEP) V2025Annual (V<year> vintage releases each March)1.00 ✓
count
dermatologists active in NPPES as of snapshot date. The §193 sub-specialty filter parameter (`?subspecialty=<NUCC code>`) on the public API recomputes counts and density against any registered subspecialty taxonomy.
Fonteum Research (derived from CMS NPPES + U.S. Census Bureau)Recomputed on each NPPES + Census refresh cycle0.95
per_100k
dermatologists per 100,000 residents (count ÷ population × 100,000).
Fonteum Research (derived from CMS NPPES + U.S. Census Bureau)Recomputed on each NPPES + Census refresh cycle0.95
rank_density
1..51 rank by per_100k across U.S. states + DC.
Fonteum Research (derived from CMS NPPES + U.S. Census Bureau)Recomputed on each NPPES + Census refresh cycle0.95
rank_count
1..51 rank by absolute count.
Fonteum Research (derived from CMS NPPES + U.S. Census Bureau)Recomputed on each NPPES + Census refresh cycle0.95
quartile
Q1..Q4 from rank_density.
Fonteum Research (derived from CMS NPPES + U.S. Census Bureau)Recomputed on each NPPES + Census refresh cycle0.95
underserved
Boolean: per_100k below the transparent threshold defined in the parent study.
Fonteum Research (derived from CMS NPPES + U.S. Census Bureau)
Threshold is a baseline cutoff, not a regulatory or clinical definition.
Recomputed on each NPPES + Census refresh cycle0.90

Reproducibility statement

A buyer should be able to rerun the methodology against the same public source data and reconcile counts. Discrepancies belong in the corrections log; we publish them when they arise.

1. Query the NPPES API at https://npiregistry.cms.hhs.gov/api/ with taxonomy_description=<NUCC name> and enumeration_type=NPI-1 for each NUCC taxonomy in the parent specialty's scope (full list in the parent study's methodology).
2. Filter results to records with active license status.
3. Bucket by practice-address state (50 USPS codes + DC).
4. Pull U.S. Census Bureau PEP V2025 (2024 vintage) state population estimates from https://www.census.gov/programs-surveys/popest.html.
5. Compute per_100k = count ÷ population × 100,000 per state. Rank ascending and bucket into quartiles by rank.
6. Apply the parent study's transparent underserved threshold to flag the per-state row's underserved boolean.

The full ingest script is published at scripts/research/nppes-write.ts in the Fonteum engine repository (private). Customers under a pilot or Standard agreement can request the script for independent reconciliation.

Limitations

  • Counts NPI-1 individual providers only; the parent specialty taxonomy plus any subspecialty taxonomies the §183 / §188 ingest scoped to. PAs / NPs / CNMs working in the same care setting under different taxonomy codes are out of scope.
  • Dataset measures density (per-capita supply), not access. Drive time, appointment availability, insurance acceptance, and wait times are not modeled.
  • Underserved threshold is the parent study's transparent baseline cutoff, not a regulatory or clinical definition.
  • Provider state is the practice-address state in NPPES. NPPES does not publish a county-level field of practice in its public API; county queries surface state-level density.
  • NPPES last_updated reflects when CMS last touched the record — providers may have moved, retired, or changed practice settings without updating their NPPES record. Roughly 5-15% of records have last_updated > 5 years per CMS published quality reports.
  • U.S. Census Bureau PEP V2025 (2024 vintage) state population. Annual estimates between decennial counts; Census itself documents a confidence band of ~0.5-2% depending on state.
  • Estimates do not reflect mid-2025+ population movements. Major hurricane / wildfire displacements may distort per-capita ratios for several quarters until next vintage.

Version history

  1. v2026.05.0 · released 2026-05-06
    Initial Audit Pack release. Methodology, provenance map, reproducibility statement, and limitations stack baselined.

Compliance Q&A

The most common questions a procurement / compliance officer asks during evaluation. Answers cite source links so the response can be lifted directly into your internal audit document.

Q: What is the source of these provider counts?

The U.S. Centers for Medicare & Medicaid Services NPPES NPI Registry, queried through the public API at npiregistry.cms.hhs.gov. NPPES is the federal authoritative registry of every healthcare provider permitted to bill Medicare; participation is mandatory for any provider seeking an NPI. We pull only public fields and count only NPI-1 individual records carrying the relevant NUCC taxonomy code(s).

Reference: https://npiregistry.cms.hhs.gov/api/

Q: When was this dataset last updated?

Snapshot date is published in the dataset metadata and on the corresponding /research page. Cadence is quarterly — every NPPES refresh triggers a new snapshot; per-field last_checked timestamps are emitted in the API and on the SourceChip surfaces. Older snapshots remain accessible via the /corrections-log changelog.

Reference: https://fonteum.com/corrections-log

Q: What is excluded?

PAs, nurse practitioners, certified nurse-midwives, and other allied-health providers operating under taxonomy codes outside the parent + scoped subspecialties are excluded. Type-2 organizational NPIs are excluded (the dataset is per-physician, not per-practice). Out-of-state telemedicine attribution is not separable from in-state practice in the public NPPES record.

Reference: https://fonteum.com/methodology

Q: How is the underserved threshold defined?

Each study's underserved threshold is a transparent baseline cutoff stated explicitly in the methodology. It is not a regulatory or clinical definition. Where applicable, thresholds are aligned with HRSA HPSA shortage criteria or specialty-society workforce reports; the methodology page shows the rationale per study.

Reference: https://fonteum.com/methodology

Q: Can I reproduce these counts independently?

Yes. The reproducibility statement above lists the exact NPPES API query parameters, the Census 2024-vintage population denominators, and the per-state aggregation logic. A buyer can rerun the methodology against the same source data and reconcile counts. We document any discrepancies in the corrections log when they arise.

Reference: https://fonteum.com/corrections-log

Q: Does this dataset measure access or just density?

Density only. Per-capita supply is not the same as patient access. Drive time, appointment availability, insurance acceptance, telemedicine substitution, and wait times are not modeled in the dataset. The Limitations section calls this out explicitly so it cannot be misread as an access claim.

Reference: https://fonteum.com/methodology#limitations

Q: What is the licensing scope of this data?

The underlying NPPES + Census data is public-domain federal information. Fonteum Research's aggregated dataset (the per-state counts + denominators + ranks) is licensed under the Fonteum editorial-policy terms — internal use during a pilot agreement, commercial-product use under a Standard or Enterprise contract. Resyndication to third parties requires a separate agreement.

Reference: https://fonteum.com/terms

Need a customer-scoped Audit Pack?

Pilot, Standard, and Enterprise customers receive Audit Packs scoped to their delivery cadence and contracted dataset list. The methodology version is pinned to the snapshot delivered, so the artifact is durable across the contract period. Contact pilot@fonteum.com or request access at /pilot-intake.

Open the parent research study → · ← All Audit Packs

Built on the authoritative federal record

The primary sources, named on every page.

These are the federal agencies whose public datasets Fonteum ingests and attributes — the issuing authorities, not customers or partners. Every figure on the site links back to one of them.

  • CMS
  • HHS-OIG
  • HRSA
  • FDA
  • NLM
  • NUCC
  • Census
  • BLS
  • BEA

See the full source registry, with license and refresh cadence for each →

Reproducible by design

Every figure traces to its federal source.

14-tuple provenance

Every rendered fact ties to a source URL, dataset ID, snapshot date, row key, and SHA-256 — the full chain-of-custody record.

Reproducible SQL

Each study ships the exact query behind its figures, run against the cited federal snapshot. Re-run it yourself.

Daily count checks

Published counts are checked against the upstream federal datasets on a daily cadence, with drift logged.

Named medical review

Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.

Read the full provenance and attestation methodology →

Two doors

Use the free API and open data

Query providers, facilities, sanctions, and quality scores — each field carrying its federal source. Self-serve, no call to start.

Explore the API →Browse the data catalog →

Talk to us

Managed pilots, enterprise terms, and audit-ready, signed attestation packages for compliance, risk, and research teams.

Talk to us →
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Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.

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The U.S. public-records graph AI can cite — every fact carries its source.

Every fact Fonteum serves carries a signed, re-checkable trust mark — source, as-of date, and an Ed25519 signature travel with the data. Re-check any fact at fonteum.com/verify · the trust-mark standard (W3C Verifiable Credentials 2.0, C2PA-aligned).
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The substrate, by the numbers

9.2Mgraph entitiesProviders, organizations, owners, and facilities
15.7Mlinked identifiersNPIs, CCNs, LEIs and more, resolved to entities
5Mgraph edgesSource-attested relationships between entities
44federal source familiesDistinct CMS, OIG, HRSA, FDA and peer datasets
35dataset pagesCitable, downloadable /data catalog pages
70reproducible studiesEach shipping the SQL behind its figures