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BLS OEWS

BLS Occupational Employment & Wage Statistics (OEWS)

U.S. Bureau of Labor Statistics · Tier-1 · research-only (never on individual profiles)

Research-only
Source:BLS OEWS·Snapshot May 2026Open official source ↗

BLS Occupational Employment & Wage Statistics (OEWS, formerly OES) publishes employment levels and wage estimates for ~830 occupations across U.S. states and metropolitan areas. The canonical source for occupational wage benchmarking.

What Fonteum uses it for

How this source shows up on Fonteum.

Tier-1 research-only context for /research pages that discuss workforce supply, wage benchmarks, or per-capita density. OEWS data appears in study commentary and methodology footnotes — it does NOT attach to individual provider profiles.

What this source does NOT mean

OEWS measures markets, not individuals. A state-level mean wage is a market signal; it is not a quality measurement, an income claim about any specific provider, or a recommendation.

What this dataset answers

Research and data questions this source supports.

  • 01Pull median annual wages for any BLS occupation code by metropolitan area — the same data workforce analytics vendors sell at $10K+ per seat.
  • 02Build a compensation benchmarking tool for healthcare occupations using BLS OEWS data as the federal reference.
  • 03Power a labor market analysis that maps healthcare provider density (NPPES) against occupational employment and wage data (BLS OEWS) by geography.
  • 04Support a private equity portfolio review with BLS wage benchmarks for the healthcare workforce across a target's operating states.
  • 05Compare healthcare occupation employment and wages across metropolitan statistical areas for a workforce strategy study.

Dataset size: ~800 occupations × 600 geographic areas annually

Limitations

What we can’t infer from this source.

  • OEWS is a survey-based estimate. Confidence intervals exist; the mean is not a precise number for every county.
  • Wage estimates are gross of self-employed contractors in many SOC codes; medians may shift on full revisions.
  • Tier-1 — never rendered on individual provider profiles.
Source metadata

Authority, license, refresh cadence.

Authority

U.S. Bureau of Labor Statistics

Tier

Tier-1 · research-only (never on individual profiles)

Refresh cadence

Annual — BLS publishes OEWS once per year, typically late spring.

License

U.S. government public-domain data. Free to use with attribution.

Official URL

https://www.bls.gov/oes/

Attribution requirement

Source: BLS OEWS · Vintage {YYYY}

ToS & usage notes

What the source allows.

U.S. government public-domain works. BLS publishes OEWS as bulk CSV + Excel; redistribution permitted with attribution. Fonteum pulls state-level + metropolitan-area summaries only and never imputes per-individual wages.

Sample provenance

What a single field looks like in the graph.

A worked example. Every field surfaced from this source carries this shape of provenance line — source · last checked · display rule · confidence (when applicable).

Field

State-level employment estimate (research-only)

Sample value

Dermatologists in TX: 1,510 (May 2024 vintage)

Provenance line

Source: BLS OEWS · State-level employment table · Vintage May 2024 · Display rule: research-only commentary, never on profiles

How to access

Official API, bulk download, and Fonteum endpoints.

Official API / download

https://api.bls.gov/publicAPI/v2/timeseries/data/ ↗

Bulk download

https://www.bls.gov/oes/tables.htm ↗

Fonteum surface

https://fonteum.com/research →

Frequently asked

Common questions about BLS OEWS.

What is BLS OEWS and what occupational data does it contain?
The Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) survey produces annual estimates of employment and wages for over 800 occupations across approximately 600 geographic areas. For healthcare, OEWS provides employment counts and wage percentiles (10th, 25th, 50th, 75th, 90th) for occupations including physicians, nurse practitioners, registered nurses, physical therapists, and healthcare administrators.
How often does BLS OEWS update?
BLS publishes OEWS data annually, typically in May for the prior reference year. For example, the May 2025 release contains data collected during 2024. Fonteum ingests the annual OEWS file each May via an Inngest cron and attests the SHA-256 hash to the provenance chain.
Where can I download BLS OEWS wage data?
BLS publishes OEWS data at bls.gov/oes/tables.htm as downloadable Excel and CSV files covering national, state, and metropolitan area estimates. All BLS data is U.S. government public-domain — free to download and redistribute with attribution.
What is an SOC code and how does it relate to healthcare occupations?
Standard Occupational Classification (SOC) codes are the federal taxonomy for occupations used across BLS datasets. Healthcare occupations start with SOC major group 29 (Healthcare Practitioners and Technical Occupations) and 31 (Healthcare Support Occupations). For example, SOC 29-1062 covers Family Medicine Physicians; SOC 29-1141 covers Registered Nurses. OEWS wages are indexed by SOC code and area.
What is the difference between BLS OEWS and BLS QCEW?
OEWS provides occupational-level employment and wage estimates from an establishment survey — useful for knowing what a specific job pays in a specific metro. QCEW (Quarterly Census of Employment and Wages) provides industry-level employment and wage totals from unemployment insurance records — useful for knowing total employment in a healthcare industry sector in a county. Fonteum uses both in research contexts.
Related

Where this source already shows up.

Related sources in the graph

  • /sources/bea-regional →
  • /sources/census-state-pop →
  • /sources/hrsa-hpsa →
See also
  • /sources → The full source library — every dataset Fonteum cites.
  • /data-provenance → The provider graph — pipeline diagram, source-family clusters, field-level provenance examples, display rules.
  • /methodology → Network-wide sourcing, refresh cadence, and corrections policy.
  • /editorial-policy → Independence, sourcing, conflicts, corrections, retractions.

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
61reproducible studiesEach shipping the SQL behind its figures

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 reconciliation

Published counts are reconciled 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.

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

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