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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

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.

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

Fields listed below show their configured `display_allowed` flag from the §94 provenance schema. Fields marked write-locked are captured for audit and are not 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, publisher cadence.

Authority

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

Tier

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

Publisher / configured cadence

Declared or configured cadence: Quarterly — HRSA publishes the MUA/MUP detail flat file. Not evidence of the latest loaded source date.

License

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

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.

This worked example shows the provenance shape used when a surfaced field has populated source, last-checked, display-rule, and confidence metadata. Individual fields may omit unavailable values.

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.

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. Loaded dates must be read from the specific response; publisher cadence is not proof of a completed load, and record-level provenance values can be null. The dated 2026-06-14 snapshot contains 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

Related sources in the graph

See also
  • /sources → The generated source-catalog subset — documented datasets Fonteum cites.
  • /data-provenance → The provider graph — pipeline diagram, source-family clusters, field-level provenance examples, display rules.
  • /methodology → Documented sourcing, publisher cadence, observed freshness, and corrections policy.
  • /editorial-policy → Independence, sourcing, conflicts, corrections, retractions.

What’s on file, by the numbers

Platform snapshot · 2026-08-12

13.4Mproviders & companiesProviders, organizations, owners, and facilities on file
26.2Msource-linked factsSource-linked field facts in the dated platform snapshot
90sources with dataDistinct snapshot source IDs with at least one positive record count
73fresh sourcesDistinct source IDs whose latest positive-data snapshot falls within the preceding 45 days
111sources integratedActive registry rows; integration does not establish a load
13state Medicaid jurisdictionsDistinct states represented in the state-exclusions serving table

Integrated, with-data, and fresh-observation counts are separate. No platform-wide source-completeness count is published. Completeness is source-specific and must be evaluated against the named source's expected scope. State coverage is a separate jurisdiction measure.

Source authority is record-specific

Use the issuer named on the record.

Fonteum spans federal, state, and global public publishers. A source page or returned record identifies its issuer and dataset where that metadata is available. A platform registry count does not assign every page to one authority or establish loaded, fresh, or complete coverage.

Browse source records and their stated limitations →

Reproducible by design

Inspect the evidence each published figure actually supplies.

Source and date

Research pages expose the named public file and observation date where those fields are available. Source-file SHA-256 coverage is separate; facts do not currently link deterministically to signatures.

Available derivation

Studies with a retained release and committed derivation link the SQL or method used. Other studies state the evidence and reproduction limits they actually have.

Daily observations

Dated table row-count observations can detect local drift. They do not imply that an upstream publisher released or Fonteum ingested new data that day.

Named medical review

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

Read the full provenance and attestation methodology →

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