hrsa-hpsa · CMS
hrsa-hpsa · CMS
hrsa-hpsa · CMS
hrsa-hpsa · CMS
hrsa-hpsa · CMS
HRSA keeps two separate maps of where America is short of health care. The better-known one is the Health Professional Shortage Area (HPSA) — a count of how thin the supply of primary-care, dental, or mental-health clinicians is in a given place. The other is older and quieter: the Medically Underserved Area / Population (MUA/MUP) map. An MUA/MUP is not about a single profession. It scores a whole service area, or a defined group of people, on the Index of Medical Underservice — primary-care physicians per 1,000 people, the infant mortality rate, the share of the population below poverty, and the share aged 65 and older, rolled into a single 0-to-100 number where 62.0 or below earns the designation. Read the active map and one fact dominates: it is, in large part, a record of decisions made decades ago.
Most of the active map predates 2000
Of the 4,148 currently designated MUA/MUP rows, 2,991 — 72.1% — were designated before the year 2000. The median active designation dates to May 1994, and only 7.8% were designated in the last ten years.
| Decade of designation | Active designations | Share of active map |
|---|---|---|
| 1970s | 1,090 | 26.3% |
| 1980s | 323 | 7.8% |
| 1990s | 1,578 | 38.0% |
| 2000s | 613 | 14.8% |
| 2010s | 387 | 9.3% |
| 2020s | 157 | 3.8% |
Source: HRSA Medically Underserved Areas/Populations, active designations by decade of original designation, snapshot 2026-05-28.
The reason the map skews so far into the past is structural. An MUA/MUP designation carries no fixed expiration. Unlike many HPSA designations, which are reviewed on a cycle and can lapse, a medically underserved designation stays in effect until HRSA actively withdraws it. Designations therefore accumulate rather than turn over: a 1994 cohort and a 1978 cohort both sit on today's list alongside the handful added last year. The active map is less a current measurement than a ledger of every area added and not yet removed.
A medically underserved designation is a workforce-policy instrument, not a live measurement. Most of today's designations were made decades ago, on an index computed once and never refreshed — the map records when an area was added, not necessarily the conditions there now.
The persistence shows up in the update dates too. 3,030 of the 4,148 active designations — 73.0% — carry a last-update date identical to their original designation date, meaning the published file records no change to them since the day they were designated. The median last-update date, 1994-06-03, sits within weeks of the median designation date.
A quarter of the map was designated on one day in 1978
A single designation date — November 1, 1978 — accounts for 1,074 of the 4,148 active designations, 25.9% of the entire active map. One in four of today's medically underserved areas was designated on one day, 47 years ago, and is still in effect.
| Designation date | Active designations | Share of active map |
|---|---|---|
| 1978-11-01 | 1,074 | 25.9% |
| 1994-05-11 | 309 | 7.4% |
| 1994-05-12 | 285 | 6.9% |
| 1994-05-04 | 58 | 1.4% |
| 1994-04-12 | 44 | 1.1% |
| 1994-05-09 | 34 | 0.8% |
Source: HRSA Medically Underserved Areas/Populations, the six most common designation dates among active designations, snapshot 2026-05-28.
The November 1978 date is the program's founding cohort — the bulk of the original MUA designations made in its early implementation, after the designation framework was set in the late 1970s. Of those 1,074 designations, 718 have no recorded update since 1978-11-01. The next-largest dates are a cluster of mass re-designation events in spring 1994. After those two episodes the list is a long, thin tail: outside 1978 and 1994, no single date adds more than a few dozen areas. The shape of the map is set by a small number of large administrative events, decades apart, not by steady annual re-measurement.
The index behind the designation is a 1990s number
Every standard designation carries an Index of Medical Underservice — the score that earned it the designation. Across the 3,808 standard designations that carry a published index, the average is 54.8, comfortably under the 62.0 qualifying cutoff. But the distribution bunches right at the line.
| Index of Medical Underservice | Standard designations |
|---|---|
| 40 or below (deepest need) | 166 |
| 40–50 | 546 |
| 50–55 | 777 |
| 55–62 (just under the cutoff) | 2,313 |
| above 62 (grandfathered) | 6 |
Source: HRSA Medically Underserved Areas/Populations, standard designations with a published index, snapshot 2026-05-28. Excludes 270 active designations with no published index and 216 Governor's Exception designations.
2,313 of the 3,808 scored standard designations — 60.8% — sit in the narrow 55-to-62 band just under the qualifying cutoff. That clustering is what you would expect of a threshold program: areas are added when they cross the line, so the population of designations piles up just inside it. The important caveat is temporal. The index is computed once, at the time of designation, and is not automatically refreshed. For a map whose median designation is 1994, the typical index value is therefore a mid-1990s measurement of a place's primary-care access — not a reading of how that place looks today. A further 270 active designations carry no published index at all, nearly all of them designated before 2010.
The Governor's Exception: designated without qualifying
Not every designation cleared the index. 216 active designations — 140 areas and 76 populations — are Governor's Exceptions: designated despite not qualifying on the formula, at a state governor's request. HRSA's rules let a governor petition for a designation when unusual local conditions are not captured by the standard score.
| Group | Active designations | With published index | Average index |
|---|---|---|---|
| Standard designations | 3,932 | 3,808 | 54.8 |
| Governor's Exceptions | 216 | 70 | 72.0 |
Source: HRSA Medically Underserved Areas/Populations, standard vs Governor's Exception designations, snapshot 2026-05-28.
The exception group behaves exactly as the rule intends. Among the 70 Governor's Exception designations that carry a published score, the average index is 72.0 — above the 62.0 cutoff — confirming that these are areas the standard formula would have turned away. They make up a small share of the map, 5.2%, but they are the clearest illustration that the MUA/MUP list is a policy instrument with discretionary entry points, not a mechanical readout of a single threshold.
Where the map is, and how old each state's is
California (213) and Texas (212) hold the most active designations, followed by Illinois (176) and Georgia (168). But the age of the map varies sharply by state.
| State | Active designations | Median designation date | Share pre-2000 |
|---|---|---|---|
| California | 213 | 1994-08-01 | 69.5% |
| Texas | 212 | 1984-07-03 | 65.1% |
| Illinois | 176 | 1994-05-18 | 72.2% |
| Georgia | 168 | 1978-11-01 | 82.7% |
| Pennsylvania | 156 | 1994-05-12 | 82.7% |
| Ohio | 137 | 1994-05-12 | 79.6% |
| New York | 132 | 1994-05-04 | 82.6% |
| Florida | 129 | 2001-09-26 | 30.2% |
Source: HRSA Medically Underserved Areas/Populations, the eight states with the most active designations, snapshot 2026-05-28.
North Carolina and Georgia run a median designation date of 1978 — 95.6% of North Carolina's active designations and 82.7% of Georgia's predate 2000 — making their medically underserved maps almost entirely a 20th-century artifact. Florida is the outlier in the other direction: its median designation dates to 2001 and only 30.2% predate 2000, the mark of a state whose map has been refreshed and added to far more recently. The contrast is not about which state is more underserved; it is about when each state's designations were last established. The active map is 86.0% area-based (MUA) and 14.0% population-based (MUP), a split that holds broadly across states.
What one row actually is
Each row in the MUA/MUP file is one designation: a designation type (area or population, standard or Governor's Exception), an Index of Medical Underservice score, a designation date and last-update date, a status (designated, withdrawn, or proposed for withdrawal), and the state, county, and rural status of the service area. This study reads the active rows — those with status Designated, 4,148 of the 4,903 MUA/MUP rows in the file — and counting and grouping them is the entire method. The designation is about a place or a population, not a clinician: it carries no NPI, links to no provider, and renders on no individual profile. Every figure in this study is a count or percentage at the designation, date, index-band, or state level. No provider is named, ranked, or scored.
Methodology
All figures are direct aggregations over the hrsa_shortage_areas table, filtered to designation_kind = 'mua_mup', populated from HRSA's Medically Underserved Areas/Populations public file published through data.hrsa.gov. The table holds 4,903 MUA/MUP rows — 4,148 with status Designated (the active map), 673 withdrawn, and 82 proposed for withdrawal; snapshot last_update_date max 2026-05-28; public, read-only; license US-Government-Works. The study reads the active designations as the current map.
Decade and pre-2000 figures use designation_date, the date a designation was originally established. Index figures use the published score (the Index of Medical Underservice); 270 active designations carry score = 0, which we read as no index published — nearly all of them designated before 2010 — and exclude from index averages, never treating a missing score as a literal zero. The standard-vs-exception split keys on whether designation_type contains "Exception." Because these are counts and ratios over a published file, every figure is exact as of the snapshot rather than estimated. Methodology version: hrsa-mua-mup/v1. The source-provenance contract is documented in the provenance methodology.
Limitations
- A workforce-policy instrument, not a quality or conduct signal. A designation describes access to care across an area or a population. It is unrelated to the quality, conduct, or standing of any clinician practicing there, and this study draws no inference about any provider.
- Aggregate and area-level only. Every figure is a count or percentage at the designation, date, index-band, or state level. No individual is named, ranked, or scored, and an MUA/MUP designation carries no NPI, so it renders on no provider profile.
- Designation age is not current need. The Index of Medical Underservice is computed once at designation and is not automatically refreshed. An old designation records when an area was added and on what score — not whether conditions there have since improved or worsened. The study reports the age of the map, not a re-measurement of underservice.
- Designations do not expire on their own. Because a designation stays in effect until HRSA withdraws it, the active list is cumulative. Counts of past designation years describe areas still on the map, not the full historical flow of designations ever made.
- Missing index values. 270 active designations carry no published index and are excluded from index averages. Their designation dates and locations are still counted in every other figure.
- Snapshot, not a trend model. Figures reflect the single file dated 2026-05-28. HRSA revises the list over time, so counts shift between releases; this study does not model change over time.
Sources
- HRSA — Medically Underserved Areas/Populations (MUA/MUP) — the public designation file behind every figure in this study.
- HRSA — MUA/MUP designation methodology — the Index of Medical Underservice and the rules governing MUA, MUP, and Governor's Exception designations.
The companion dataset page for HRSA shortage and underserved areas lists the full schema and refresh cadence, and the shortage-area data explorer exposes the underlying records. This is the medically-underserved counterpart to the rural skew of America's shortage areas and to the finding that most shortage areas are a single facility, not a community; for the safety-net clinics that serve many of these places see the coverage mix at America's community health centers, and for the supply side of the same access question, where Medicare providers cluster thickest and how the shape of Medicare enrollment is changing.
Frequently asked questions
- What is a Medically Underserved Area or Population?
- A Medically Underserved Area (MUA) or Population (MUP) is a federal designation HRSA assigns to a geographic area or a specific population group that has too little access to primary care. It is scored on the Index of Medical Underservice, which combines primary-care physicians per 1,000 people, the infant mortality rate, the share of the population below poverty, and the share aged 65 and older. An area qualifies at an index of 62.0 or below.
- How is an MUA/MUP different from a Health Professional Shortage Area (HPSA)?
- They are separate programs with separate rules. A HPSA measures the supply of a particular kind of clinician — primary care, dental, or mental health — and many HPSA designations are reviewed and can lapse. An MUA/MUP measures broader primary-care access through the Index of Medical Underservice, applies to areas and populations rather than disciplines, and carries no fixed expiration: it stays in effect until HRSA actively withdraws it. This study is about the MUA/MUP map specifically.
- Why are so many designations from the 1970s and 1990s?
- Because MUA/MUP designations do not expire. Once an area is designated it remains on the active list until HRSA withdraws it, so designations accumulate rather than turning over. The single largest cohort — 1,074 active designations, one in four — was made on November 1, 1978, in the program's early implementation, and is still in effect today. The median active designation dates to May 1994.
- Does an old designation mean the area is no longer underserved?
- Not necessarily, and this study makes no such claim. The Index of Medical Underservice is computed once at the time of designation and is not automatically refreshed, so the data records when an area was added to the map and on what score — not whether conditions there have improved or worsened since. An old designation may still reflect real need; it simply has not been re-measured in the published file.
- What is a Governor's Exception designation?
- It is a designation made even though the area did not qualify on the Index of Medical Underservice. Under HRSA's rules a state governor can request a designation based on unusual local conditions that the standard formula does not capture. There are 216 active Governor's Exception designations — 140 areas and 76 populations — and among the 70 that carry a published score the average index is 72.0, above the 62.0 qualifying cutoff, which is exactly the situation the exception exists to handle.
- Which states have the most medically underserved designations?
- California (213) and Texas (212) have the most active designations, followed by Illinois (176) and Georgia (168). The age of the map varies sharply by state: North Carolina and Georgia run a median designation date of 1978, and 94-96% of their designations predate 2000, while Florida is the outlier with a median of 2001 and only 30.2% predating 2000.
- Is a designation a judgment about the providers in that area?
- No. A Medically Underserved Area or Population designation is a workforce-policy instrument about access to care across a place or a group of people. It says nothing about the quality, conduct, or standing of any clinician who practices there, and this study names, ranks, and scores no individual provider. Every figure is a count over published designations.
- Can I reproduce these figures?
- Yes. Every number is a direct count over the public hrsa_shortage_areas table, filtered to MUA/MUP rows, snapshot dated 2026-05-28 — with no modeling. The exact SQL for the decade distribution, the 1978 cohort, the Index of Medical Underservice bands, the Governor's Exception split, and the state breakdown is published in the reproducibility block below.
Who uses this data
The source data behind this study is public
Compliance teams, journalists, and researchers work from the same federal source families cited above — queried by NPI or facility identifier through Fonteum’s open dataset pages and API. Every figure traces to a frozen, downloadable snapshot you can reproduce yourself.
Datasets used
Reproducibility
Every claim, reproducible
The SQL
-- America's Medically Underserved Areas and Populations (MUA/MUP) are an old
-- map: most of the active designations were made last century and have never
-- been updated since. Fully reproducible query.
--
-- Question: HRSA's Medically Underserved Area / Population (MUA/MUP) program is
-- a SEPARATE designation system from the Health Professional Shortage Area
-- (HPSA) program. An MUA/MUP is scored once on the Index of Medical Underservice
-- (IMU) — a 0-to-100 scale combining primary-care physicians per 1,000 people,
-- the infant mortality rate, the share of population below poverty, and the
-- share age 65 and older — and a service area qualifies at an IMU of 62.0 or
-- below. Unlike many HPSA designations, an MUA/MUP carries NO fixed expiration:
-- it stays in effect until HRSA actively withdraws it. So how old is the active
-- map, and how current is the index behind it?
--
-- The lead figure: of the 4,148 currently DESIGNATED MUA/MUP rows, 2,991 (72.1%)
-- were designated before 2000, the median designation dates to May 1994, and
-- 1,074 of them — one in four — share a single founding-cohort date of
-- 1978-11-01. A designation is a workforce-policy instrument, NOT a quality,
-- fraud, or wrongdoing signal of any kind, and names no individual provider.
--
-- Source:
-- public.hrsa_shortage_areas, rows WHERE designation_kind = 'mua_mup' — HRSA's
-- Medically Underserved Areas/Populations file, published via data.hrsa.gov.
-- 4,903 MUA/MUP rows; snapshot last_update_date max 2026-05-28. Public,
-- read-only. License: US-Government-Works (17 U.S.C. Sec. 105).
-- methodology_version = 'hrsa-mua-mup/v1'.
--
-- Universe: this study reads the ACTIVE designations — status = 'Designated'
-- (4,148 rows) — the current MUA/MUP map. Withdrawn (673) and proposed-for-
-- withdrawal (82) rows are reconciled in query (1) but excluded from the
-- active-map figures. The same active-designation universe is used by the
-- companion HRSA shortage-area studies.
--
-- IMU note: the published IMU is stored in `score`. 270 active designations
-- carry score = 0, which we read as "no IMU published" (nearly all are pre-2010
-- designations) and EXCLUDE from IMU averages — we never treat a missing score
-- as a literal zero. A higher IMU means LESS underservice; 62.0 is the cutoff.
-- ============================================================================
-- (1) Universe reconciliation — the MUA/MUP file at a glance.
-- ============================================================================
SELECT
count(*) AS mua_mup_rows,
count(*) FILTER (WHERE status = 'Designated') AS designated,
count(*) FILTER (WHERE status = 'Withdrawn') AS withdrawn,
count(*) FILTER (WHERE status = 'Proposed For Withdrawal') AS proposed_withdrawal,
min(designation_date) AS earliest_designation,
max(designation_date) AS latest_designation,
max(last_update_date) AS snapshot
FROM public.hrsa_shortage_areas
WHERE designation_kind = 'mua_mup';
-- mua_mup_rows 4,903 · designated 4,148 · withdrawn 673 · proposed_withdrawal 82
-- earliest_designation 1977-03-11 · latest_designation 2026-05-28 · snapshot 2026-05-28
-- ============================================================================
-- (2) HEADLINE: how OLD the active map is. Decade of designation, plus the
-- share predating 2000 and the share from the last decade. 72.1% predate
-- 2000; the median active designation dates to 1994-05-11; only 7.8% were
-- designated in the last ten years.
-- ============================================================================
WITH d AS (
SELECT * FROM public.hrsa_shortage_areas
WHERE designation_kind = 'mua_mup' AND status = 'Designated'
)
SELECT
(floor(extract(year FROM designation_date) / 10) * 10)::int || 's' AS decade,
count(*) AS designations,
round(100.0 * count(*) / sum(count(*)) OVER (), 1) AS pct_of_active
FROM d
GROUP BY decade
ORDER BY decade;
-- 1970s 1,090 26.3%
-- 1980s 323 7.8%
-- 1990s 1,578 38.0%
-- 2000s 613 14.8%
-- 2010s 387 9.3%
-- 2020s 157 3.8%
--
-- Summary figures over the same active set (4,148 rows):
-- designated before 2000-01-01 ............... 2,991 (72.1%)
-- designated 2016-01-01 onward (last decade) ... 324 ( 7.8%)
-- median designation_date .................... 1994-05-11
-- designations whose last_update_date equals
-- their original designation_date .......... 3,030 (73.0% — no recorded change since)
-- median last_update_date .................... 1994-06-03
-- ============================================================================
-- (3) The 1978 founding cohort. A single designation date — November 1, 1978 —
-- accounts for 1,074 of the 4,148 active designations (25.9%): one in four
-- of today's medically underserved areas was designated on one day, 47 years
-- ago, and is still in effect. 718 of those 1,074 have never been updated since.
-- ============================================================================
WITH d AS (
SELECT * FROM public.hrsa_shortage_areas
WHERE designation_kind = 'mua_mup' AND status = 'Designated'
)
SELECT
designation_date,
count(*) AS designations,
round(100.0 * count(*) / sum(count(*)) OVER (), 1) AS pct_of_active
FROM d
GROUP BY designation_date
ORDER BY designations DESC
LIMIT 6;
-- 1978-11-01 1,074 25.9% <- the founding cohort, still designated
-- 1994-05-11 309 7.4%
-- 1994-05-12 285 6.9%
-- 1994-05-04 58 1.4%
-- 1994-04-12 44 1.1%
-- 1994-05-09 34 0.8%
-- ============================================================================
-- (4) The Index of Medical Underservice behind the active map. Among the 3,808
-- standard (non-exception) designations that carry a published IMU, the
-- average is 54.8 on the 0-to-100 scale where 62.0 or below qualifies; 2,313
-- of them sit in the narrow 55-62 band just under the cutoff. The IMU is
-- computed once at designation and is not refreshed, so for a file whose
-- median designation is 1994 these are largely 1990s index values. 270 active
-- designations carry no published IMU at all (score = 0) and are excluded here.
-- ============================================================================
WITH d AS (
SELECT * FROM public.hrsa_shortage_areas
WHERE designation_kind = 'mua_mup' AND status = 'Designated'
AND designation_type NOT LIKE '%Exception%'
AND score > 0
)
SELECT
CASE
WHEN score <= 40 THEN 'a. IMU <= 40 (deepest need)'
WHEN score <= 50 THEN 'b. IMU 40-50'
WHEN score <= 55 THEN 'c. IMU 50-55'
WHEN score <= 62 THEN 'd. IMU 55-62 (just under cutoff)'
ELSE 'e. IMU > 62 (above cutoff)'
END AS imu_band,
count(*) AS designations
FROM d
GROUP BY imu_band
ORDER BY imu_band;
-- a. IMU <= 40 (deepest need) ...... 166
-- b. IMU 40-50 ..................... 546
-- c. IMU 50-55 ..................... 777
-- d. IMU 55-62 (just under cutoff) . 2,313 <- 60.8% of scored standard designations
-- e. IMU > 62 (above cutoff) ....... 6
-- (mean IMU across these 3,808 scored standard designations = 54.8; range 18.1-74.7.)
-- ============================================================================
-- (5) The Governor's Exception. 216 active designations (140 areas + 76
-- populations) were made despite not qualifying on the index — at a state
-- governor's request under HRSA's exception process. Among the 70 of them
-- that carry a published IMU, the average is 72.0, above the 62.0 cutoff,
-- exactly as the exception is designed to allow.
-- ============================================================================
WITH d AS (
SELECT
(designation_type LIKE '%Exception%') AS is_governors_exception,
score
FROM public.hrsa_shortage_areas
WHERE designation_kind = 'mua_mup' AND status = 'Designated'
)
SELECT
is_governors_exception,
count(*) AS designations,
count(*) FILTER (WHERE score > 0) AS with_published_imu,
round(avg(score) FILTER (WHERE score > 0), 1) AS avg_imu_scored
FROM d
GROUP BY is_governors_exception
ORDER BY is_governors_exception;
-- standard 3,932 · 3,808 scored · avg IMU 54.8
-- governors_exception 216 · 70 scored · avg IMU 72.0 (above the 62.0 cutoff)
-- ============================================================================
-- (6) WHERE the active designations are, and how old each state's map is. Top
-- 12 states by count, with each state's median designation date and the
-- share predating 2000. California and Texas lead by count, but North
-- Carolina and Georgia run a median date of 1978; Florida is the outlier
-- with a 2001 median and only 30.2% predating 2000.
-- ============================================================================
WITH d AS (
SELECT * FROM public.hrsa_shortage_areas
WHERE designation_kind = 'mua_mup' AND status = 'Designated' AND state IS NOT NULL
)
SELECT
state,
count(*) AS designations,
percentile_disc(0.5) WITHIN GROUP (ORDER BY designation_date) AS median_designation_date,
round(100.0 * count(*) FILTER (WHERE designation_date < '2000-01-01') / count(*), 1) AS pct_pre_2000
FROM d
GROUP BY state
ORDER BY designations DESC
LIMIT 12;
-- CA 213 median 1994-08-01 69.5% pre-2000
-- TX 212 median 1984-07-03 65.1%
-- IL 176 median 1994-05-18 72.2%
-- GA 168 median 1978-11-01 82.7%
-- PA 156 median 1994-05-12 82.7%
-- OH 137 median 1994-05-12 79.6%
-- NY 132 median 1994-05-04 82.6%
-- FL 129 median 2001-09-26 30.2% <- the outlier: a refreshed map
-- MO 123 median 1992-08-04 94.3%
-- MI 115 median 1994-05-27 67.8%
-- NC 113 median 1978-11-01 95.6%
-- KY 112 median 1990-11-23 67.0%
-- ============================================================================
-- (7) Structure: areas vs populations, and the exception split. 86.0% of the
-- active map is area-based (MUA), 14.0% population-based (MUP).
-- ============================================================================
SELECT
designation_type,
count(*) AS designations,
round(100.0 * count(*) / sum(count(*)) OVER (), 1) AS pct_of_active
FROM public.hrsa_shortage_areas
WHERE designation_kind = 'mua_mup' AND status = 'Designated'
GROUP BY designation_type
ORDER BY designations DESC;
-- Medically Underserved Area .......................... 3,427 82.6%
-- Medically Underserved Population ..................... 505 12.2%
-- Medically Underserved Area - Governor's Exception .... 140 3.4%
-- Medically Underserved Population - Governor's Exception 76 1.8%
-- (area-based = MUA + MUA-exception = 3,567, 86.0%; population-based = 581, 14.0%.)The snapshot
| dataset_id | hrsa-hpsa |
| snapshot_date | 2026-06-16 |
| sha256 | |
| doi | 10.5072/fonteum/medically-underserved-areas-designation-age-2026 |
| slsa_provenance_url |
The JOINs
universe: hrsa_shortage_areas WHERE designation_kind = 'mua_mup' -- 4,903 rows; 4,148 status='Designated' (active); 673 withdrawn; 82 proposed decade of designation = floor(year(designation_date)/10)*10 -- pre-2000 = 2,991 (72.1%); last 10 yr = 324 (7.8%); median 1994-05-11 founding cohort = designation_date = '1978-11-01' -- 1,074 rows (25.9%); 718 with last_update_date = designation_date no recorded change = last_update_date = designation_date -- 3,030 of 4,148 (73.0%); median last_update 1994-06-03 IMU = score, standard designations only, score>0 -- 3,808 scored; mean 54.8; 2,313 in the 55-62 band; 62.0 is the cutoff governors_exception = designation_type LIKE '%Exception%' -- 216 active (140 area + 76 population); 70 scored, mean IMU 72.0 structure: GROUP BY designation_type -- area-based 3,567 (86.0%); population-based 581 (14.0%)
The pipeline version
| git_sha | |
| slsa_provenance | |
| methodology_version | hrsa-mua-mup/v1 |
Reproduce this
Run the exact query against the frozen 2026-06-16.
Cite this study
Citation-ready for researchers and AI.
Check the chain
Each figure is snapshot-attested — re-derive the hash from the federal file.
hrsa-hpsa · 2026-06-16SHA-256 a3f1c9…7e6b- ACCESS · JUN 2026America's care deserts are rural: two-thirds of U.S. health-care shortage areasTwo-thirds of America's active health-care shortage areas are rural: 13,999 of the 21,133 designated Health Professional Shortage Areas — 66.2% — sit in rural communities, against 6,069 non-rural ones. The rural skew holds across primary care (66.0%), mental health (65.3%), and dental health (67.4%) alike, spanning 25,281 federal designations in 60 jurisdictions.
- ACCESS · JUN 2026Most U.S. health-care shortage areas are a single facility, not a communityOnly 2,300 of America's 21,133 designated Health Professional Shortage Areas — 10.9% — are whole geographies. The rest are facilities and populations: 14,538 (68.8%) are a single site such as a rural clinic, health center, tribal program, or prison, and 4,295 (20.3%) are a named population group.
- ACCESS · JUN 2026Where the uninsured land: coverage at America's community health centers, 202466.2% of the 32.4 million patients at America's community health centers were uninsured or on Medicaid in 2024. But the mix flips by state: Texas centers reported 33.6% of patients uninsured against 29.8% on Medicaid; California centers, 10.1% uninsured and 72.0% on Medicaid.
- ACCESS · JUN 2026Where Medicare providers cluster: home health and DME market saturation, 2025In Los Angeles County, 1,847 home health agencies serve Medicare's fee-for-service population — the most of any U.S. county, at 2.12 per 1,000 beneficiaries, nearly ten times the national rate of 0.22. CMS publishes this market-saturation map for program-integrity monitoring, not as proof of fraud.
- WORKFORCE · JUN 2026Who is enrolled in Medicare? The nurse practitioner is now the most common clinician413,539 nurse practitioner enrollments make NPs the single most common clinician type in Medicare's provider-enrollment file — 13.9% of all 2.98 million PECOS records, nearly triple the largest physician specialty. Together, NPs and physician assistants are one in five enrollments. Advanced-practice providers now anchor the Medicare workforce.
Federal source citations
Fonteum Research · June 16, 2026 · All figures trace to the frozen federal-data snapshot cited above.