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HRSA UDS: Definition and Healthcare Context

Full name: HRSA Uniform Data System

The HRSA Uniform Data System (UDS) is an annual reporting system through which federally funded health centers — Federally Qualified Health Centers (FQHCs), FQHC Look-Alikes, and other Health Center Program grantees — submit standardized performance and patient demographic data to the Health Resources and Services Administration. UDS data covers patient characteristics, clinical quality measures, staffing, financial information, and services delivered at each grantee site. HRSA uses UDS data to monitor grantee performance against program requirements and publishes aggregate and site-level data publicly through the UDS Mapper and flat-file downloads. The UDS dataset covers approximately 1,400 grantees operating over 15,000 service delivery sites serving approximately 31 million patients annually.

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Last updated: 2026-07-11Reviewed by: Dr. Jennifer Montecillo, MDGullas College of Medicine, 2019. Non-practicing medical reviewer.

How it’s used

  • HRSA Uniform Data System (UDS): Fonteum ingests annual UDS data covering approximately 1,400 health center grantees and their 15,000-plus service delivery sites to power health-access research, provider shortage analysis, and FQHC coverage gap studies.
  • HRSA Health Professional Shortage Areas (HPSA): UDS site locations are overlaid against HPSA geographic boundaries to identify health center presence in shortage areas and measure access-gap coverage.
  • CMS NPPES NPI Registry: FQHC sites in UDS are cross-referenced with NPPES provider records via NPI to link site-level utilization data with individual practitioner identities.

Frequently asked questions

What is the HRSA Uniform Data System?
The HRSA UDS is the annual reporting system for HRSA-funded health centers (FQHCs and Look-Alikes). Grantees submit patient demographic, clinical quality, staffing, and financial data each year.
Who must report to the UDS?
All HRSA Health Center Program grantees — including Federally Qualified Health Centers and FQHC Look-Alikes — are required to submit annual UDS reports as a condition of their funding.
Is UDS data publicly available?
Yes. HRSA publishes UDS data through the UDS Mapper interactive tool and flat-file downloads at data.hrsa.gov, covering grantee locations, patient volume, and clinical quality measures.

What’s on file, by the numbers

Platform snapshot · 2026-08-30

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
16fresh 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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