States with the Most Hospitals

All states ranked by number of hospitals reporting Medicare procedure pricing data.

What This Ranking Tells Us

Hospital count reflects both population size and healthcare infrastructure density. Texas leads with the most hospitals due to its vast geography and large population, while states like Wyoming and Vermont have fewer facilities. More hospitals generally means more competition and patient choice, though rural areas may still face access challenges even in states with many total facilities. Hospital counts include general acute care hospitals, specialty hospitals, and critical access hospitals reporting to Medicare.

How to Read the States with the Most Hospitals Ranking

This ranking aggregates state-level totals from the CMS Medicare Provider Utilization and Payment Data release, which captures every Part B Fee-for-Service claim submitted by physicians, non-physician practitioners, and suppliers under Medicare during the published service year. State assignment uses the provider's primary practice address on the National Plan and Provider Enumeration System (NPPES) registry at the time of submission. Beneficiaries who receive care in a different state (e.g., a snowbird treated in Florida by a winter-resident specialist) are billed under the rendering provider's state, which can shift state-level averages in destination-medicine and border-crossing scenarios.

The figures shown are unweighted state averages across procedure codes: each CPT or HCPCS code with at least the CMS-required minimum service volume contributes its state-specific average Medicare allowed amount to the state's overall average. Higher-volume codes (evaluation visits, common imaging, routine lab draws) carry more weight in moving the mean than low-volume specialty codes, but no per-code volume weighting is applied — that calculation requires the underlying claim count, which the public CMS file releases with a privacy floor that suppresses codes with fewer than 11 services to a single beneficiary per provider per code per year.

State differences in Medicare payment do not equal differences in cost-of-care or quality-of-care. Medicare applies three locality adjustments to every code: the work GPCI (geographic practice cost index for physician work), the practice-expense GPCI (overhead, including rent, staff salaries, and utilities), and the malpractice GPCI (professional liability premiums). High-cost-of-living regions — coastal California, the New York metro, the District of Columbia, Hawaii, and Alaska — score above 1.0 on practice-expense GPCI and so receive higher payments for the same work. Low-cost-of-living regions score below 1.0 and receive proportionally less. This is by design: the locality system attempts to keep Medicare reimbursement neutral to where the provider practices, holding work and quality constant.

Markup ratios — the relationship between submitted charges and Medicare allowed amounts — are a separate statistic. Hospitals and physician groups set chargemaster rates independently of what any payer reimburses; the chargemaster is a list price used primarily for out-of-network billing, secondary payer coordination, and patient-responsibility calculations under Hospital Price Transparency. Medicare's allowed amount is statutory. The gap between the two reflects business practice in chargemaster maintenance, not the actual cash flow between insurer and provider. States with high markup ratios tend to have larger numbers of hospital-based physician groups and academic medical centers, which traditionally maintain higher chargemasters relative to community-practice groups.

For verification of these aggregations against the source dataset, see the official CMS Medicare Provider Charge Data portal. The CMS data dictionary lists every column in the source file, including provider NPI, the submitting specialty taxonomy, the place of service code, and the count of distinct beneficiaries served — fields used to filter and aggregate the values shown here. For per-procedure detail at the state level, drill into any state in the table above to see the most expensive and least expensive procedures specific to that state's claims data.

Year-to-year movement in any state's position on this ranking can come from three mechanisms. First, the procedure mix in the state can shift — a hospital opening or closing, a specialty practice expanding, or a population aging into more procedural care all change the underlying distribution of billed codes and therefore the state mean. Second, the Medicare Physician Fee Schedule conversion factor — the dollar multiplier Medicare applies to relative-value units to produce payment amounts — is updated annually by CMS through the Federal Register rulemaking process. Conversion-factor changes move every state's average in the same direction, so a state's rank can stay stable even when its absolute average shifts. Third, the locality components (work, practice-expense, and malpractice GPCIs) are periodically rebased to reflect updated regional input cost data. Rebasing can shift rankings even without any underlying change in the procedure mix or provider count.

For consumers using this ranking, the most actionable insight is comparative rather than absolute. If you live in a state ranked high on Medicare allowed amounts and are scheduled for an elective procedure, requesting a Good Faith Estimate under the No Surprises Act remains the most reliable way to obtain an enforceable cost commitment before service. Hospitals are required to provide the estimate at least three business days before scheduled care, and a final bill exceeding the estimate by more than $400 is subject to patient-protected dispute under federal law. For comparison shopping between hospitals within a state, the Hospital Price Transparency Rule requires posting of negotiated rates and discounted cash prices in a machine-readable file — though completeness and accessibility vary by institution and have been the subject of CMS civil monetary penalty actions for non-compliance.

# State Hospitals
1 Texas TX 465
2 California CA 378
3 Florida FL 222
4 Ohio OH 196
5 Illinois IL 194
6 New York NY 190
7 Pennsylvania PA 188
8 Louisiana LA 161
9 Indiana IN 150
10 Georgia GA 148
11 Michigan MI 148
12 Wisconsin WI 142
13 Kansas KS 138
14 Minnesota MN 136
15 Oklahoma OK 135
16 Tennessee TN 122
17 Missouri MO 121
18 North Carolina NC 120
19 Iowa IA 118
20 Mississippi MS 106
21 Arizona AZ 106
22 Kentucky KY 102
23 Alabama AL 102
24 Washington WA 100
25 Colorado CO 97
26 Virginia VA 95
27 Nebraska NE 93
28 Arkansas AR 90
29 Massachusetts MA 84
30 New Jersey NJ 79
31 South Carolina SC 66
32 Montana MT 63
33 Oregon OR 62
34 South Dakota SD 61
35 Puerto Rico PR 61
36 Maryland MD 56
37 West Virginia WV 55
38 Utah UT 51
39 Idaho ID 48
40 North Dakota ND 47
41 Nevada NV 46
42 New Mexico NM 45
43 Connecticut CT 37
44 Maine ME 36
45 Wyoming WY 30
46 New Hampshire NH 28
47 Alaska AK 25
48 Hawaii HI 24
49 Vermont VT 17
50 Delaware DE 13
51 Rhode Island RI 13
52 District of Columbia DC 10
53 Guam GU 2
54 U.S. Virgin Islands VI 2
55 American Samoa AS 1
56 Northern Mariana Islands MP 1

Source: Centers for Medicare & Medicaid Services (CMS), Medicare Provider Utilization and Payment Data.

Frequently Asked Questions

Does more hospitals mean better healthcare access?

Not necessarily. Hospital distribution matters more than total count. A state with many hospitals concentrated in urban areas may still have rural healthcare deserts. Access depends on geographic distribution, specialty mix, insurance acceptance, and transportation infrastructure. States with many critical access hospitals (small rural facilities) may have high counts but limited specialty services.

Are all hospitals included in this data?

This data includes hospitals that participate in Medicare and report procedure pricing. Most U.S. hospitals accept Medicare. Excluded are some VA hospitals, military facilities, and facilities that do not bill Medicare. The vast majority of civilian hospitals are represented.

Related

Data sourced from the CMS Medicare Physician and Other Practitioners dataset. See our methodology for details. Retrieved and formatted by PlainProcedure Editorial  · Verify with CMS →