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HRSA UDS

HRSA Uniform Data System (UDS)

U.S. Health Resources & Services Administration · Tier-2 · profile-enrichment (renders on matched profiles)

Registered source

HRSA Uniform Data System (UDS) publishes annual self-reported performance data for the federal Health Center Program. The Grant Year 2024 extract covers 1,359 awardees operating 16,334 service-delivery sites across 59 states and territories, serving 32.4 million patients, with 18,046 clinical-quality-measure rows spanning 14 measures (cancer screenings, immunizations, depression screening, tobacco-cessation, HIV care, statin therapy, and more).

What Fonteum uses it for

How this source shows up on Fonteum.

Tier-2 research enrichment for federally qualified health centers. Awardee-level patient population (Medicaid / uninsured share), staffing FTEs, and clinical-quality-measure rates support FQHC access and quality studies, joined to HRSA HPSA shortage designations. The /data and /sources pages report aggregate counts and per-grant-year breakdowns only — no awardee is named on these catalog surfaces.

What this source does NOT mean

UDS data is awardee-level aggregate reporting — not patient-level, and not an individual-provider quality score. Clinical quality measures describe the FQHC enrolled patient panel only and are not independent quality certifications. The public UDS extract carries no provider NPI and no facility CCN, so UDS rows do not attach to an individual practitioner and are not part of the NPI identity-graph join.

What this dataset answers

Research and data questions this source supports.

  • Build an FQHC-level quality profile combining HRSA UDS clinical quality measures (cancer screenings, immunizations, depression screening) with HRSA HPSA shortage designations.
  • Map the 1,359 HRSA-funded health centers and their 16,334 service sites to support a federally qualified health center access study.
  • Surface FQHC patient counts and staffing FTEs for a community health center capacity and access analysis.
  • Track clinical-quality-measure rates across the 14 reported UDS measures to benchmark FQHC performance year over year.
  • Support a health equity study comparing FQHC patient panels (Medicaid %, uninsured %) across states against HPSA shortage severity scores.

Dataset size: 1,359 awardees · 16,334 sites · 18,046 quality-measure rows (Grant Year 2024)

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

6 fields
total_patientsTotal patients served (awardee)
medicaid_patientsMedicaid patients
uninsured_patientsUninsured patients
total_fteTotal FTE staff
clinical_fteClinical FTE
measure_rateClinical quality measure rate (14 measures)
Limitations

What we can’t infer from this source.

  • UDS reports are self-reported aggregate filings by Health Center Program awardees under federal regulatory obligation. They are not audited.
  • Quality measures apply only to the FQHC enrolled patient panel — not comparable to hospital or specialist quality metrics.
  • Data is available annually with a ~6-month lag (grant year N data publishes ~May of year N+1); the current snapshot is Grant Year 2024.
  • The public extract carries no NPI, no CCN, no grant-award amount, and no published national-average comparator; these render as honest nulls, never inferred.
Source metadata

Authority, license, publisher cadence.

Authority

U.S. Health Resources & Services Administration

Tier

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

Publisher / configured cadence

Declared or configured cadence: Annual HRSA publisher cadence. Not evidence of the latest loaded source date.

License

U.S. government public-domain works (17 U.S.C. § 105). Federal public record. Attribution required: 'Source: HRSA Uniform Data System · Grant Year {YYYY}'. License ↗

Attribution requirement

Source: HRSA Uniform Data System · Grant Year {YYYY}

ToS & usage notes

What the source allows.

U.S. government public-domain works (17 U.S.C. § 105). HRSA publishes UDS as an annual flat-file export at data.hrsa.gov with explicit redistribution rights. Hash and manifest coverage must be read from the specific artifact; no provenance fact currently links deterministically to a signature.

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

Grant Year 2024 UDS coverage (aggregate)

Sample value

1,359 awardees · 16,334 service sites · 18,046 quality-measure rows (14 measures) · 32.4M patients

Provenance line

Source: HRSA Uniform Data System · Grant Year 2024 · Methodology hrsa-uds/v1 · Display rule: awardee-level aggregates render with the grant-year boundary inline; the public extract carries no NPI or CCN

How to access

Official API, bulk download, and Fonteum endpoints.

Frequently asked

Common questions about HRSA UDS.

What is the HRSA Uniform Data System (UDS) and what does it measure?
The Uniform Data System (UDS) is HRSA's annual reporting system for Health Center Program awardees — federally qualified health centers (FQHCs) and look-alikes. Awardees report aggregate clinical quality measures, staffing FTEs, patient demographics, and payer mix. Data is published annually with approximately a 6-month lag from grant year close; the current Fonteum snapshot is Grant Year 2024.
How many FQHCs and service sites are in the HRSA UDS dataset?
The Grant Year 2024 extract covers 1,359 Health Center Program awardees operating 16,334 service-delivery sites across 59 states and territories, together serving 32.4 million patients. The awardee-level data reflects the full patient panel served across all of a grantee's sites; the dataset also holds 18,046 clinical-quality-measure rows.
Where can I download HRSA UDS data?
HRSA publishes UDS data as an annual flat-file export (an H80 workbook) at data.hrsa.gov under the Health Center Program. Grant Year 2024 is the most recent full year in the current Fonteum pipeline. The data is U.S. government public-domain.
What are the HRSA UDS clinical quality measures?
The Grant Year 2024 extract holds 14 clinical quality measures, including breast, cervical, and colorectal cancer screening, childhood immunization status, adult weight and BMI screening, tobacco-use screening and cessation, depression screening and remission, HIV screening and linkage to care, statin therapy, and aspirin/antiplatelet therapy. Each is expressed as a rate over eligible patients; the public extract carries no national-average comparator.
Does HRSA UDS data contain individual patient or provider records?
No. UDS data is awardee-level aggregate reporting — not patient-level data, and not individual-provider records. Each row summarizes one HRSA grantee for the grant year. The public extract carries no provider NPI and no facility CCN, so it cannot be tied to an individual practitioner. The aggregate figures support population-level analysis and quality benchmarking, not individual research.
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 · 2026-08-11

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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