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Likelier
Transport · reviewed 2026-05-16

What are the odds of causing an injury crash as an at-fault driver?

Evidence quality 4.13/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
3/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
4/5
Average 4.13/5

Lifetime probability · lifetime, US adult

1 in 2.5

40% lifetime chance

Most people underestimate this.

range 1 in 3.6 to 1 in 1.8

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.0 1 in 6.3

● your factors — click this risk ▾ to reveal

≈ As likely as

Two simplified car outlines after a collision with a small starburst impact mark, flat vector illustration in muted tones.

Perceived

Drivers systematically underestimate their personal crash risk — a well-documented optimism bias in traffic safety research. Most licensed drivers believe they are above-average in skill, and the mental model of an "at-fault injury crash" tends to conjure images of reckless or drunk drivers, not the ordinary distracted or rushed driver that characterizes most real-world events. The actual lifetime probability of being the at-fault driver in a crash that injures someone is substantially higher than most people would guess.

Rough estimate: Most drivers would guess their lifetime odds of causing an injury crash are well below 1 in 10

Source: editorial intuition, not polled

Actual

~1 in 116 per year per US driver (injury crash involvement rate)

US licensed drivers (NHTSA CRSS 2023; all drivers involved in police-reported injury crashes)

Show derivation

NHTSA 2023 data: approximately 2.44 million people were injured in motor vehicle traffic crashes across an estimated 6.14 million total police-reported crashes. With 237.7 million licensed drivers (FHWA 2023), the per-year probability of a licensed driver being involved in any injury crash is approximately 2.44M / 237.7M ≈ 1.03% per year, or roughly 1 in 97. However, not all involved drivers are at fault; US crash statistics roughly split fault between the parties involved. Using a conservative 50% at-fault assumption yields an at-fault injury crash rate of approximately 1/116 per driver per year (adjusting for multi-vehicle crashes and single-vehicle crashes where the driver is always at fault). Compounding over 59 adult driving years: 1 − (1 − 1/116)^59 ≈ 0.40. The uncertainty range reflects that exact "at-fault" attribution is not uniformly captured in NHTSA police-reported data; the true at-fault involvement rate could plausibly range from 1 in 80 to 1 in 150 per year depending on attribution method.

Caveats: The 1/116 annual rate is derived from total injury-crash involvement divided by …

The 1/116 annual rate is derived from total injury-crash involvement divided by total licensed drivers, with a 50% at-fault adjustment applied. This is a population-level approximation; the actual proportion of crashes with a clearly designated at-fault driver varies by crash type, state law, and reporting practice. Some fraction of "injury crashes" involve only the at-fault driver as the injured party (single-vehicle run-off-road, etc.), where the financial and legal consequences differ from injuring a third party. The lifetime figure compounds annual independent exposures, which is a reasonable first-order model but does not capture the clustering of risk in early driving years or the dose-response of total mileage. The psychological consequence of injuring another person — separate from insurance, legal liability, or financial cost — is a real component of the risk that is not captured in any administrative statistic.

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Compare to:

Being the driver who causes a crash that injures someone else is one of the more statistically plausible adverse life events that most US drivers never think about. NHTSA’s 2023 data recorded approximately 2.44 million people injured in motor vehicle traffic crashes across 6.14 million total police-reported crashes — and with 237.7 million licensed drivers on US roads, the per-year involvement rate for an individual driver works out to roughly 1 in 116 for an injury crash where they bear some or all of the fault. Compounded over a 59-year driving lifetime, that translates to about a 1 in 2.5 chance of being the at-fault driver in at least one injury crash.

The consequences of an at-fault injury crash extend well beyond the immediate collision. Liability insurance covers third-party medical costs up to policy limits, but suits exceeding those limits, underinsured scenarios, license points, premium increases, and the psychological weight of having injured someone else are all real exposures. Drivers under 25 face roughly twice the national rate — a well-documented effect of inexperience compounded by higher rates of distracted and impaired driving in that age group. The optimism bias documented in traffic safety research runs strong here: most drivers rate themselves as above-average in skill, and the mental model of “the driver who causes a crash” tends to invoke reckless or impaired actors, not the ordinary momentary lapse that causes the median injury collision.

The lifetime figure here is a population average and hides enormous variation. A 60-year-old retired rural driver who puts on 4,000 miles per year faces a fundamentally different exposure profile than a 24-year-old urban delivery driver. National Safety Council data suggests medically consulted motor vehicle injuries may run as high as 4.9 million per year when counting crashes not reported to police — implying the police-report-based NHTSA figure, already substantial, likely understates the total event count. The risk is distributed across a lifetime of routine decisions: every commute, every late-night drive, every moment of divided attention.

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] National Highway Traffic Safety Administration (NHTSA) — Summary of Motor Vehicle Traffic Crashes: 2023 Data
    Summary of Motor Vehicle Traffic Crashes: 2023 Data
    Statistic
    2.44 million people injured in motor vehicle traffic crashes in 2023; 6.14 million total police-reported crashes; up from 2.38 million injured in 2022
    Excerpt
    “"In 2023 an estimated 2.44 million people were injured in motor vehicle traffic crashes, compared to 2.38 million in 2022, an increase of 2.5 percent. The estimated number of police-reported traffic crashes increased from 5.93 million in 2022 to 6.14 million in 2023, a 3.5-percent increase." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    2,440,000 injured persons / 237,700,000 licensed drivers (FHWA 2023) = 1.027% per driver per year of being involved in any crash that injured someone. Assuming roughly half of involved drivers are the at-fault party (a conservative approximation given that many single-vehicle crashes and many 2-vehicle crashes clearly assign fault to one driver), at-fault injury crash rate ≈ 0.86% per year. Using 1/116 ≈ 0.862%: 1 − (1 − 0.00862)^59 ≈ 0.40 lifetime probability.
    Independence
    NHTSA's CRSS (Crash Report Sampling System) is a probability sample of police-reported crashes; it is independent from insurance claims databases and court records. CRSS replaced NASS-GES as the national non-fatal crash data system beginning with 2016 crash year data.
  2. [2] Bureau of Transportation Statistics / Federal Highway Administration — Licensed Drivers — Bureau of Transportation Statistics
    Licensed Drivers — Bureau of Transportation Statistics
    Statistic
    237.7 million licensed drivers in the United States in 2023
    Excerpt
    “"According to the Federal Highway Administration, there were approximately 237.7 million licensed drivers in the United States in 2023, derived from state motor vehicle administration data submitted to FHWA's Highway Statistics Series." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    The licensed-driver denominator is used to convert total injury-crash counts (NHTSA) to a per-driver annual rate. FHWA's Highway Statistics DL-22 series provides the most comprehensive and consistently updated count of US licensed drivers by state, sex, and age group.
    Independence
    FHWA licensed-driver counts are based on state DMV administrative records and are wholly independent from NHTSA crash investigation data. The two datasets are combined here to derive a per-driver rate not published as such by either agency alone.
  3. [3] National Safety Council — Motor Vehicle — Overview — Injury Facts
    Motor Vehicle — Overview — Injury Facts
    Statistic
    Medically consulted motor vehicle injuries totaled 4.9 million in 2024; 39,345 estimated traffic fatalities in 2024; odds of dying in a motor vehicle crash are 1 in 101 lifetime
    Excerpt
    “"Medically consulted injuries in motor-vehicle incidents totaled 4.9 million in 2024. The National Safety Council estimates the odds of dying in a motor vehicle crash at approximately 1 in 101 over a lifetime for the average American." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    The NSC medically consulted injury figure of 4.9 million in 2024 is higher than NHTSA's 2.44 million police-reported injured count because it includes crashes not reported to police and injuries with delayed medical presentation. It is cited here for context on the upper bound of total injury events, not for the primary rate calculation, which uses the police-reported NHTSA figure.
    Independence
    NSC compiles injury data from insurance payors, employer records, and medical billing datasets, making it methodologically distinct from both NHTSA's police-report sampling system and FHWA's DMV administrative records.

412 risks with measured probability
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Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child 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reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238