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HRSA MUA/MUP

HRSA Medically Underserved Areas / Populations (MUA/MUP)

Health Resources & Services Administration (HRSA), Bureau of Health Workforce · Tier-2 · profile-enrichment (renders on matched profiles)

Research-only
Source:HRSA MUA/MUP·Checked May 2026Open official source ↗

HRSA Medically Underserved Area / Population (MUA/MUP) designations identify service areas and populations with insufficient access to primary care, based on the Index of Medical Underservice (IMU). Designations direct federal safety-net program eligibility. As of the 2026-06-14 snapshot, Fonteum holds 4,903 MUA/MUP designation rows.

What Fonteum uses it for

How this source shows up on Fonteum.

Tier-2 area-level context for /data and /research pages on primary-care access. MUA/MUP designations are keyed to service areas and populations, not to individual provider NPIs; Fonteum surfaces designation type, IMU score, status, and geography on the dataset page.

What this source does NOT mean

MUA/MUP designations describe underserved service areas and populations — not individual provider quality. They do not score, rate, rank, or endorse any provider. The IMU score is a federal-program eligibility measure, not a quality measurement.

What this dataset answers

Research and data questions this source supports.

  • 01Identify medically underserved service areas and populations for safety-net program planning and FQHC siting analysis.
  • 02Compare a service area's Index of Medical Underservice (IMU) score against local provider supply.
  • 03Build a research dataset of MUA/MUP designations with row-level provenance and snapshot dates.
  • 04Layer underservice signals onto access studies alongside HPSA designations.

Dataset size: 4,903 MUA/MUP designations (2026-06-14 snapshot)

Fields used

Per-field display contract.

Every field below has a `display_allowed` flag in the §94 provenance schema. Write-locked fields are captured to provenance for audit but never rendered on profile pages.

Research-only — never on profiles

3 fields
designation_typeMUA/MUP designation type
scoreIndex of Medical Underservice (IMU) score
statusDesignation status
Limitations

What we can’t infer from this source.

  • MUA/MUP designations measure area / population access to primary care only — not specialty care.
  • The IMU score is a federal-program eligibility measure, not a quality measurement.
  • Designations are area / population keyed — they do not attach to an individual provider NPI.
  • Snapshot-based: designations finalized after a snapshot date do not appear until the next quarterly pull.
Source metadata

Authority, license, refresh cadence.

Authority

Health Resources & Services Administration (HRSA), Bureau of Health Workforce

Tier

Tier-2 · profile-enrichment (renders on matched profiles)

Refresh cadence

Quarterly — HRSA publishes the MUA/MUP detail flat file; Fonteum re-pulls on snapshot publication.

License

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

Official URL

https://data.hrsa.gov/topics/health-workforce/shortage-areas

Attribution requirement

Source: HRSA Data Warehouse (data.hrsa.gov) — Medically Underserved Areas / Populations · Snapshot {YYYY-MM-DD}

ToS & usage notes

What the source allows.

U.S. government public-domain works. HRSA publishes the MUA/MUP detail file at data.hrsa.gov with no redistribution restrictions; attribution to HRSA is the only requirement.

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

MUA/MUP designation (area-level research context)

Sample value

MUA · IMU 55.4 · designated

Provenance line

Source: HRSA MUA/MUP · Snapshot 2026-06-14 · Methodology hrsa-mua-mup/v1 · Display rule: area-level — renders on dataset + research pages, never on individual profiles

How to access

Official API, bulk download, and Fonteum endpoints.

Official API / download

https://data.hrsa.gov/data/download ↗

Fonteum surface

https://fonteum.com/api/v1/hrsa/shortage-areas/{id} →

Frequently asked

Common questions about HRSA MUA/MUP.

What is an MUA or MUP?
A Medically Underserved Area (MUA) or Medically Underserved Population (MUP) is a federal HRSA designation identifying a service area or population group with insufficient access to primary care. Designations are used to establish eligibility for Federally Qualified Health Center status and related safety-net programs.
What is the IMU score?
The Index of Medical Underservice (IMU) is a 0–100 composite score based on the ratio of primary-care providers to population, infant mortality, the percentage of population below poverty, and the percentage age 65 and over. A score at or below the threshold qualifies an area or population as underserved. It is a program-eligibility measure, not a quality measurement.
How is MUA/MUP different from HPSA?
HPSA measures shortage of specific provider disciplines (primary care, dental, mental health) and drives workforce-incentive programs. MUA/MUP measures overall primary-care access for a service area or population and drives FQHC eligibility. The two designations overlap but use different criteria and serve different federal programs.
How fresh is Fonteum's MUA/MUP data?
HRSA publishes the MUA/MUP detail file through its Data Warehouse, and Fonteum re-pulls quarterly. Every row carries a source · snapshot-date · methodology-version provenance line. As of the 2026-06-14 snapshot, Fonteum holds 4,903 MUA/MUP designation rows.
Does an MUA/MUP designation attach to a provider?
No. MUA/MUP designations are keyed to service areas and population groups, not to an individual provider's NPI. Fonteum renders the data on dataset and research surfaces only.
Related

Where this source already shows up.

Related sources in the graph

  • /sources/hrsa-hpsa-shortage-areas →
  • /sources/hrsa-hpsa →
  • /sources/hrsa-uds →
  • /sources/nppes →
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
12.6Mlinked identifiersNPIs, CCNs, LEIs and more, resolved to entities
4.7Mgraph edgesSource-attested relationships between entities
44federal source familiesDistinct CMS, OIG, HRSA, FDA and peer datasets
33dataset pagesCitable, downloadable /data catalog pages
49reproducible 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.

Explore the API →Browse the data catalog →

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

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