Skip to content
Likelier
Transport · reviewed 2026-04-26

What are the odds of a petrol car catching fire spontaneously?

Evidence quality 4.5/5

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

D1 Source grounding
3/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 125

0.8% lifetime chance

Most people underestimate this.

range 1 in 1,000 to 1 in 50

lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 42 1 in 833

● your factors — click this risk ▾ to reveal

≈ As likely as

A car engine bay with visible wiring and hoses, flat vector illustration in muted tones.

Perceived

Vehicle fires barely register in most drivers' risk calculus. The cultural image of a car fire is a post-crash Hollywood fireball, not a parked sedan smouldering from an electrical short. Meanwhile, EV battery fires command disproportionate media coverage relative to their incidence. The result is an inverted perception: many drivers assume electric vehicles are uniquely fire-prone while treating the baseline ICE vehicle fire rate as negligible. Few car owners realize that mechanical and electrical failures in gasoline vehicles cause roughly 190,000 highway fires per year in the US, the vast majority with no collision involved.

Rough estimate: ~0.1-0.5% chance over a car's lifetime

Source: editorial intuition, not polled

Actual

~69 fires per 100,000 registered vehicles per year (all ages, US)

US registered highway vehicles, NFPA analysis of NFIRS/FHWA data (2018-2022 avg)

Show derivation

NFPA recorded ~196,000 highway vehicle fires per year (2018-2022 avg) across ~282 million registered vehicles (FHWA), yielding ~69 fires per 100,000 registered vehicles per year, or an annual rate of 0.069%. Over a 12-year ownership span: 1 - (1 - 0.00069)^12 = 0.00825, or ~0.8%. The widely cited AutoInsuranceEZ figure of 1,530 per 100,000 uses annual vehicle SALES as its denominator rather than registrations; since the US has ~282 million registered vehicles but only ~14 million new-car sales per year, the sales-based denominator is ~20x smaller, inflating the rate by the same factor. AutoInsuranceEZ also divides cumulative fire counts across all vehicle ages by a single year's sales, further compounding the mismatch. The NFPA registration-based figure is the methodologically appropriate rate for estimating per-vehicle fire probability. For newer vehicles (2016-2018 model years), the HLDI non-crash fire claim rate was ~10 per 100,000 insured vehicle-years, roughly 7x lower than the all-ages NFPA figure and 150x lower than the AutoInsuranceEZ figure. Vehicle age remains the strongest predictor of fire risk. 95% of vehicle fires are non-collision. ICE vehicles are 18-61x more likely to catch fire than EVs depending on dataset (AutoInsuranceEZ: 61x using sales denominator; Swedish MSB: 18x using registrations). The existing ev-battery-fire entry covers the EV side.

Caveats: The headline ~0.8% lifetime figure uses NFPA fire counts divided by FHWA registr…

The headline ~0.8% lifetime figure uses NFPA fire counts divided by FHWA registrations (~69/100K/year), the methodologically standard approach. The widely cited AutoInsuranceEZ figure of 1,530/100K uses annual vehicle SALES as denominator — since registrations outnumber sales ~20:1, this inflates the rate by roughly 20x, producing a misleading ~17% lifetime figure. For a new car buyer, the HLDI rate of ~10/100K (2016-2018 model years) is the most relevant — about 7x lower than the all-ages NFPA figure. Vehicle age is the strongest predictor; older vehicles with degraded wiring and fuel lines dominate the statistics. The uncertainty range (0.1%-2%) spans from the newer-vehicle HLDI rate (1 - (1-0.0001)^12 ≈ 0.12%) to roughly 2x the NFPA-based estimate to account for older-than-average fleet segments. The Swedish MSB data (68 vs 3.8/100K) uses registrations and controls better for fleet age, showing ICE vehicles at 18x the EV rate. Most vehicle fires cause property damage only; the fatality rate is ~579 deaths per ~196,000 fires (0.3% of fires are fatal).

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

Transport

EV battery fire

What are the odds of an electric car catching fire?

Transport

Spaceflight (astronaut)

What are the odds of dying as an astronaut on a spaceflight mission?

Transport

Car crash

What are the odds of dying in a car crash?

Transport

Cyclist killed by car

What are the odds of being killed by a motor vehicle while cycling?

Transport

Driving after cannabis

What are the odds of causing a fatal crash by driving within a few hours of using cannabis?

Transport

Driving on sedating meds

What are the odds of causing a fatal crash by driving while on a sedating prescription medication?

Transport

Eating while driving

What are the odds of a crash from eating or drinking while driving?

Transport

Hand-held phone call + driving

What are the odds of a crash from holding a phone to your ear while driving?

Compare to:

US fire departments respond to roughly 196,000 highway vehicle fires per year, and 95% of them have nothing to do with a crash. Mechanical failure (worn parts, failed gaskets, cracked hoses) causes 45%, electrical failure another 21%. Dividing NFPA’s fire count by the ~282 million vehicles registered with the FHWA gives a rate of roughly 69 fires per 100,000 registered vehicles per year. A widely shared AutoInsuranceEZ analysis reports 1,530 per 100,000, but that figure uses annual vehicle sales as its denominator rather than registrations, inflating the rate by roughly 20x. The Swedish MSB data, which uses registrations and controls better for fleet age, shows ICE vehicles catching fire at 18 times the EV rate.

Over a 12-year ownership span, the NFPA registration-based rate translates to a lifetime fire probability of roughly 0.8%. That is far lower than the ~17% figure derived from the sales-denominator methodology, but still substantial: roughly 1 in 120 vehicles will experience a fire incident over its ownership life. For a new car (2016-2018 model years), HLDI insurance data shows a non-crash fire claim rate of just 10 per 100,000, about 7 times lower than the all-ages NFPA figure. Vehicle age is the single strongest predictor of fire risk, which is why the all-ages statistic and the new-car statistic describe what feel like entirely different risks.

The perception inversion is the real story. EV battery fires receive outsized media coverage because they are novel, dramatic, and difficult to extinguish, while the roughly 196,000 annual ICE vehicle fires barely register as news. A gasoline car fire is mundane; an EV fire is a headline. The data runs in exactly the opposite direction: by every available measure, the vehicle most likely to catch fire is the one with a fuel tank, not a battery pack.

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] AutoInsuranceEZ (analysis of NHTSA/BLS data) — Gas vs Electric Car Fires
    Gas vs Electric Car Fires
    Statistic
    ICE vehicles: 1,529.9 fires per 100,000 vehicles; EVs: 25.1 per 100,000; hybrids: 3,474.5 per 100,000
    Excerpt
    “"Gas-powered vehicles had a fire rate of 1,529.9 per 100,000 sales. Electric vehicles had the lowest rate at 25.1 per 100,000. Hybrid vehicles had the highest rate at 3,474.5 per 100,000." ”
    Source data from
    2022-01-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    AutoInsuranceEZ used NHTSA recall data, NTSB investigations, and BLS vehicle fire statistics to compute per-100K fire rates by powertrain. Critically, the denominator is annual vehicle SALES, not registrations. The excerpt itself reads "per 100,000 sales." Since the US has ~282 million registered vehicles but only ~14 million new-car sales per year, using sales as denominator inflates the rate by roughly 20x compared to a registration-based calculation. The ICE rate of 1,530/100K-sales includes all vehicle ages and both collision and non-collision fires. The 61:1 ICE-to-EV ratio is the most widely cited comparison but is criticized for both the sales denominator and the age mismatch (the EV fleet is much younger on average). The hybrid rate of 3,475/100K-sales likely reflects the dual powertrain complexity.
  2. [2] National Fire Protection Association (NFPA) — Vehicle Fires
    Vehicle Fires
    Statistic
    195,927 highway vehicle fires per year (2018-2022 avg); 579 deaths; mechanical failure (45%) and electrical failure (21%) as leading causes
    Excerpt
    “"An estimated average of 195,927 highway vehicle fires occurred per year from 2018 to 2022, causing an average of 579 civilian deaths, 1,336 civilian injuries, and $2.2 billion in direct property damage annually. Mechanical failure or malfunction was the leading cause at 45 percent." ”
    Source data from
    2024-11-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    NFPA's annual vehicle fire report is the authoritative US source. 195,927 fires/year across ~282 million registered vehicles (FHWA) = ~69 fires per 100,000 registered vehicles per year. This is the basis for the native stat. The rate is ~22x lower than AutoInsuranceEZ's 1,530/100K figure primarily because NFPA uses registrations as denominator while AutoInsuranceEZ uses annual sales (~20x smaller). The remaining difference is that NFPA counts fire department responses only. 95% of vehicle fires are non-collision (USFA 2014-2016 data). Wire insulation is the most common first-ignited material (~30%), followed by fuel from engine area (18%).
  3. [3] Highway Loss Data Institute (HLDI / IIHS) — Noncrash Fire Losses
    Noncrash Fire Losses
    Statistic
    Non-crash fire claim frequency: ~0.1 per 1,000 insured vehicle-years (10 per 100,000) for 2016-2018 model year vehicles
    Excerpt
    “"Non-crash fire claim frequency for 2016-2018 model year vehicles was approximately 0.1 claims per 1,000 insured vehicle-years." ”
    Source data from
    2020-12-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    HLDI data covers only newer vehicles (2016-2018 MY) and only insurance claims, not all fire department responses. The 10/100K rate for newer vehicles vs the NFPA registration-based 69/100K for all ages demonstrates the extreme age-dependence of vehicle fire risk (~7x difference). The 150x gap versus the AutoInsuranceEZ figure (1,530/100K) is misleading because the latter uses a sales denominator. This is the most useful figure for owners of newer vehicles.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 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 & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication 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