NPDB Medical Malpractice Reports Per 100,000 Residents by State, 2019-2023
New York leads at 22.4 reports per 100,000 residents over the five-year window. Minnesota is the lowest at 2.94. The 7.6x spread is not random, and it is not population. It is a function of physician density, tort environment, and reporting compliance, in roughly that order.
52
Jurisdictions
34,046
Payment reports
7.6x
Top-to-bottom spread
The question
How often do practicing physicians get hit with malpractice payment reports, and how does the rate vary by state? The answer matters for med-mal carriers underwriting risk by geography, for plaintiff firms picking jurisdictions, for hospital systems benchmarking liability exposure, and for PE buyers diligencing physician group acquisitions across multi-state platforms.
The standard reference is the National Practitioner Data Bank Public Use File, an anonymized HRSA-published extract of every malpractice payment and adverse action report filed since 1990. We pulled the 2019-2023 window, filtered to malpractice payment reports only, and normalized by state population.
Full state ranking
Download XLSXAll 50 states plus DC and Puerto Rico, ranked by 5-year cumulative malpractice payment-report rate per 100,000 residents. National rate over the same window is 10.16 per 100K (5-yr) or 2.03 per year.
| Rank | State | Reports | Per 100K (5-yr) | Per 100K / yr |
|---|---|---|---|---|
| 1 | New YorkNY | 4,444 | 22.40 | 4.48 |
| 2 | New MexicoNM | 429 | 20.28 | 4.06 |
| 3 | PennsylvaniaPA | 2,574 | 19.85 | 3.97 |
| 4 | Puerto RicoPR | 619 | 18.97 | 3.79 |
| 5 | LouisianaLA | 872 | 18.86 | 3.77 |
| 6 | FloridaFL | 3,869 | 17.76 | 3.55 |
| 7 | West VirginiaWV | 293 | 16.43 | 3.29 |
| 8 | OklahomaOK | 553 | 13.87 | 2.77 |
| 9 | New JerseyNJ | 1,276 | 13.77 | 2.75 |
| 10 | KansasKS | 355 | 12.10 | 2.42 |
| 11 | IndianaIN | 800 | 11.75 | 2.35 |
| 12 | MarylandMD | 638 | 10.35 | 2.07 |
| 13 | MissouriMO | 619 | 10.04 | 2.01 |
| 14 | AlaskaAK | 73 | 9.96 | 1.99 |
| 15 | KentuckyKY | 445 | 9.87 | 1.97 |
| 16 | MontanaMT | 108 | 9.78 | 1.96 |
| 17 | South CarolinaSC | 496 | 9.56 | 1.91 |
| 18 | CaliforniaCA | 3,689 | 9.40 | 1.88 |
| 19 | NevadaNV | 291 | 9.26 | 1.85 |
| 20 | MichiganMI | 929 | 9.24 | 1.85 |
| 21 | GeorgiaGA | 984 | 9.11 | 1.82 |
| 22 | HawaiiHI | 131 | 9.09 | 1.82 |
| 23 | ArizonaAZ | 628 | 8.63 | 1.73 |
| 24 | MassachusettsMA | 584 | 8.36 | 1.67 |
| 25 | IllinoisIL | 1,043 | 8.23 | 1.65 |
| 26 | OregonOR | 344 | 8.10 | 1.62 |
| 27 | ConnecticutCT | 290 | 8.04 | 1.61 |
| 28 | District of ColumbiaDC | 53 | 7.91 | 1.58 |
| 29 | New HampshireNH | 102 | 7.34 | 1.47 |
| 30 | UtahUT | 245 | 7.34 | 1.47 |
| 31 | Rhode IslandRI | 78 | 7.12 | 1.42 |
| 32 | NebraskaNE | 137 | 6.98 | 1.40 |
| 33 | IowaIA | 219 | 6.86 | 1.37 |
| 34 | MississippiMS | 199 | 6.75 | 1.35 |
| 35 | DelawareDE | 66 | 6.58 | 1.32 |
| 36 | TexasTX | 1,934 | 6.55 | 1.31 |
| 37 | WashingtonWA | 488 | 6.31 | 1.26 |
| 38 | IdahoID | 114 | 6.00 | 1.20 |
| 39 | South DakotaSD | 53 | 5.92 | 1.18 |
| 40 | OhioOH | 679 | 5.76 | 1.15 |
| 41 | WyomingWY | 33 | 5.70 | 1.14 |
| 42 | ColoradoCO | 291 | 5.01 | 1.00 |
| 43 | VirginiaVA | 432 | 5.00 | 1.00 |
| 44 | TennesseeTN | 343 | 4.92 | 0.98 |
| 45 | ArkansasAR | 139 | 4.59 | 0.92 |
| 46 | AlabamaAL | 214 | 4.25 | 0.85 |
| 47 | MaineME | 58 | 4.23 | 0.85 |
| 48 | VermontVT | 26 | 4.03 | 0.81 |
| 49 | North CarolinaNC | 393 | 3.72 | 0.74 |
| 50 | North DakotaND | 25 | 3.23 | 0.65 |
| 51 | WisconsinWI | 181 | 3.07 | 0.61 |
| 52 | MinnesotaMN | 168 | 2.94 | 0.59 |
Why the spread is this wide
A 7.6x spread between the highest and lowest state rates is structural, not noise. Three drivers explain most of it:
- Physician density. States with concentrated academic medical centers and large urban physician populations (NY, PA, NJ, FL) have more total exposure events per capita simply because there are more practicing physicians per resident. NY in particular is anchored by the NYC academic medical complex.
- Tort environment. States without statutory caps on non-economic damages (NY, PA, NM, WV) attract more plaintiff filings and produce more payments per filing. States with hard caps (TX, CA at $250K-$350K, IN, NM separately on a different statute) compress the rate at both the volume and the dollar end.
- Reporting compliance. NPDB reporting is mandatory for malpractice payments under 42 USC 11131, but compliance varies. States with active medical board oversight enforce reporting more rigorously, which lifts the apparent rate even when underlying claim activity is similar.
Per 100,000 residents is the standard population denominator, but per 100,000 physicians is often the more analytically useful normalization for med-mal carrier underwriting. Switching the denominator compresses the NY/PA top of the table and lifts smaller, lower-density states. Both views are queryable.
Methodology
Source. NPDB Public Use Data File, published quarterly by HRSA. The PUF is an anonymized extract: no names, no NPI, no provider identifiers. State of practice, license field, allegation category, and payment amount range are retained.
Numerator. Records where record_type = ‘P’ (Medical Malpractice Payment Reports, MMPRs). This excludes adverse-action reports filed against licenses, clinical privileges, DEA registrations, and federal program participation. Including those report types would roughly double the volume in most states.
Time window. Filtered on origin_year, the year the underlying act occurred. NPDB reports lag the act by 2-5 years for payment processing and filing, so the 2022-2023 totals are slightly understated. Using action_year or payment year shifts the numbers but does not move the rankings materially.
Denominator. 2021 Census mid-year population estimates as the midpoint of the 2019-2023 window. Using a 5-year rolling average shifts rates by less than 2%.
Grouping. By work_state, the state where the practitioner was practicing when the act occurred. home_state and license_state are also available; they shift cross-border physician populations (NY/NJ, DC/MD/VA) modestly.
Anonymization caveat. NPDB suppresses cells in small states to protect identity. Rates for VT, ND, WY, and territories may be slightly understated. Surface this in any external citation.
Excluded jurisdictions. The 50 states, DC, and PR are included. Other territories (GU, VI, MP, AS) and military/federal codes (AE, AP) carry low report counts and inconsistent population baselines, and are dropped from the rate ranking.
What this is not
Not a measure of physician quality. A malpractice payment report indicates a payment was made on behalf of a practitioner. Payments often settle without an admission of liability. The rate measures the volume of resolved claims, not the prevalence of negligence.
Not a measure of patient harm. NPDB records the legal-financial event, not the underlying clinical event. Most adverse outcomes never become claims. Most claims never become payments.
Not the full NPDB universe. Adverse action reports (license revocations, clinical privilege restrictions, exclusions) are a separate stream, roughly equal in volume to payment reports. State board action reports specifically (record_type = ‘C’, report_type = ‘302’) dominate the broader NPDB volume but are the wrong metric for malpractice rate analysis.
Run your own
The numbers above are queryable end-to-end
Same datasets, your filters. Pull the rate for a single state, a different year window, malpractice plus adverse-action combined, or normalized to per 100K physicians instead of residents. Output is cited and arrives in one conversation.