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Likelier
Transport · reviewed 2026-04-11

What are the odds of dying in a bus crash?

Evidence quality 4.63/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 100,000

0.001% lifetime chance

Most people overestimate this.

range 1 in 1,000,000 to 1 in 20,000

lifetime, global adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 10,000 1 in 10,000,000

● your factors — click this risk ▾ to reveal

≈ As likely as

A single empty bus stop sign post on a pale background, flat vector illustration in muted colors.

Perceived

Buses inherit some of the same intuitions that make people fear planes and trains: you’re enclosed, you’re not driving, and the few crashes that do happen tend to be dramatic multi-casualty events that make the news. The gut reading of bus safety is that it is "somewhere between a car and a train, probably closer to a car". The per-passenger-kilometre data says the opposite: bus and coach travel sits alongside rail and commercial aviation in the safest tier of all motorised transport.

Rough estimate: roughly as risky as a car per trip

Source: editorial intuition, not polled

Actual

~0.2 bus/coach passenger deaths per billion passenger-kilometres (EU, 2010-2019)

EU bus and coach passengers

Show derivation

Starts from the European Commission / ETSC figure of roughly 0.3 fatalities per billion passenger-kilometres for bus and coach travel in the EU (a developed-world baseline used here as a proxy for a well-regulated scheduled service). Assumes a typical global adult accumulates on the order of 500-1,000 bus passenger-km per year averaged over 59 years of adult life — a rough midpoint between the reader who almost never takes a bus and the reader who commutes on one daily. At 750 pkm/year × 59 years × 3e-10 deaths/pkm ≈ 1.33e-5, rounded to 1 in ~100,000. The uncertainty band is wide on purpose: the LMIC intercity figure is more than an order of magnitude worse than the EU baseline, and personal exposure varies by at least two orders of magnitude between a rare user and a daily commuter.

Caveats: Bus and coach safety is one of the widest fans in the Likelier dataset. The per-…

Bus and coach safety is one of the widest fans in the Likelier dataset. The per-passenger- kilometre figure used here (~0.3 deaths per billion pkm) is a developed-country, scheduled-service number from the EU. It does not describe an informal minibus on an unpaved LMIC road, which can be an order of magnitude or more worse, and it does not describe a modern European intercity coach on a motorway, which is measurably better still. Within the "bus" label sit school buses, urban transit, intercity coach, and chartered tourist coach — all with different fleets, different driver regimes, and different per-km rates. The normalized lifetime number is also highly exposure- dependent: for a reader who takes a bus twice a year, the real lifetime probability is effectively in the noise; for a daily commuter in a country with weak vehicle inspection regimes, it is meaningfully above the headline.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
Developed countries, scheduled service (infrequent passenger) 1 in 2,000,000 Rare user in the EU/US/Japan; baseline is dominated by the tiny per-pkm rate
Global average, typical adult exposure 1 in 100,000 Point estimate used for the normalized field; ~1 in 100,000
LMIC intercity bus, frequent user 1 in 20,000 Poor road surfaces, older fleets, longer driver hours; roughly 50x the developed-country scheduled-service rate per pkm

Risks at similar odds

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

Transport

Plane crash

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Ferry sinking

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Child pedestrian (residential)

What are the odds of a young child being hit by a car after wandering onto a residential street?

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Cruise ship accident

What are the odds of dying in a cruise ship accident?

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Roller coaster injury

What are the odds of serious injury on a roller coaster?

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Turbulence injury

What are the odds of serious injury from in-flight turbulence?

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Car crash

What are the odds of dying in a car crash?

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Teen road-crash death

How likely is a teenager (15–19) to die in a road-traffic crash during those years?

Compare to:

The useful comparison here is per passenger-kilometre, not per trip and not per year. On that metric, bus and coach travel sits in the same safety tier as rail and commercial aviation. The European Transport Safety Council puts bus travel at roughly ten times lower fatality risk than car travel for the average passenger trip in the EU, which translates to somewhere around 0.3 deaths per billion passenger- kilometres — compared to about 2.5 for cars and tens of deaths per billion pkm for motorcycles. For a typical global adult putting a few hundred passenger-kilometres a year on buses over an adult lifetime, the accumulated probability of dying in a bus crash lands around 1 in 100,000, roughly 1,000× lower than the lifetime odds of dying in a car crash and within the same order of magnitude as the lifetime odds of dying in a commercial plane crash.

What makes this fear interesting is that the perceived/actual gap runs in the same direction as fear of flying but is much less discussed. Buses trigger the same control- and-enclosure intuitions — someone else is driving, you can’t see the road, the vehicle is large and unfamiliar — and the rare multi-fatality coach crashes that reach the news are memorable in exactly the way a 40,000-deaths-a-year car crash statistic is not. The arithmetic is the same as it is for aviation: lots of passenger-kilometres divided across very few fatal events produces a per-km number that is too small to feel intuitive.

Where the headline number doesn’t apply: the gap between a scheduled European coach on a motorway and a minibus on an unpaved road in a low- or middle-income country is enormous, and the global “bus” label hides both. WHO reports that 92 percent of global road fatalities occur in low- and middle-income countries, and the bus figures roughly track that pattern — not because buses are mechanically different but because road conditions, vehicle maintenance, and driver-hour rules are. For a reader whose bus exposure is mostly a scheduled intercity coach in a developed country, the lifetime risk is closer to the bottom of the uncertainty band (around 1 in a million) than to the point estimate. For a daily commuter on a crowded LMIC intercity route, it is closer to the top. The headline figure is the right order of magnitude and the wrong level of precision for almost everyone individually.

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] European Road Safety Observatory (ERSO), European Commission — Facts and Figures — Buses / coaches / heavy goods vehicles
    Facts and Figures — Buses / coaches / heavy goods vehicles
    Statistic
    ~0.20 fatalities per billion passenger-km for bus/coach (EU, 2010-2019); ~500 people killed annually in EU road accidents involving buses; bus travel ~19x safer than car per pkm
    Excerpt
    “"Bus/coach travel has approximately 0.20 fatalities per billion passenger-kilometres, compared to 3.82 for car occupants. Between 2010 and 2019, fatalities in crashes involving buses/coaches decreased by 34%." ”
    Source data from
    2022-02-09
    Accessed
    2026-04-12 · archived copy
    Calculation
    ERSO 2022 updates the per-pkm fatality rate to 0.20 per billion pkm (down from the ~0.3 in the 2003 ETSC report, reflecting improved safety over two decades). Using BTS data, average US bus ridership is roughly 500-1,000 pkm per adult per year. At 750 pkm/year × 59 years × 2e-10 deaths/pkm ≈ 8.9e-6, or roughly 1 in 112,000. The point estimate of 1e-5 rounds slightly upward to account for LMIC exposure where per-pkm rates are much worse.
    Independence
    ERSO draws on the CARE (Community Road Accident Database) for EU fatality counts. Independent of WHO global road traffic data.
  2. [2] Federal Motor Carrier Safety Administration (FMCSA), U.S. Department of Transportation — Large Truck and Bus Crash Facts 2022
    Large Truck and Bus Crash Facts 2022
    Statistic
    US bus crash fatalities average ~283 per year across 28 billion vehicle-miles; bus occupant fatality rate dramatically lower than car occupants
    Excerpt
    “"In 2022, large trucks and buses were involved in crashes that resulted in fatalities. The bus occupant fatality rate per 100 million vehicle miles traveled is substantially below that of passenger vehicle occupants." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-12 · archived copy
    Calculation
    FMCSA provides the authoritative US-specific bus crash data. The ~283 bus-involved fatalities per year in the US, spread across a US adult population of ~260M, gives an annual rate of ~1.1e-6, compounded over 59 years ≈ 6.5e-5, consistent with the ERSO-based global estimate within the uncertainty band.
    Independence
    FMCSA uses US DOT FARS data for fatalities — independent of the European CARE database used by ERSO. Genuine cross-continental corroboration.
  3. [3] World Health Organization (WHO) — Road traffic injuries — Fact sheet
    Road traffic injuries — Fact sheet
    Statistic
    Approximately 1.19 million people die each year as a result of road traffic crashes globally; 92% of road fatalities occur in low- and middle-income countries
    Excerpt
    “"Approximately 1.19 million people die each year as a result of road traffic crashes. More than half of all road traffic deaths are among vulnerable road users, including pedestrians, cyclists and motorcyclists. 92% of the world's fatalities on the roads occur in low- and middle-income countries, even though these countries have around 60% of the world's vehicles." ”
    Source data from
    2023-12-13
    Accessed
    2026-04-11 · archived copy
    Calculation
    WHO's 1.19M global road deaths sets the ceiling. Bus and coach occupants are a small minority of that total — roughly 500 bus-involved fatalities per year in the entire EU, and a few hundred large-bus occupant deaths per year in the US, implying that bus occupants contribute on the order of 1-2 percent of global road fatalities despite moving a meaningful share of passenger-km in many countries. Used here to anchor the global baseline and to justify the LMIC multiplier in the regional breakdown: the same "92% of fatalities in LMICs" pattern that holds for road traffic generally applies, roughly, to buses.
    Independence
    WHO road-traffic figures draw on country-reported statistics and WHO modelled adjustments — an aggregate layer that incorporates upstream data from both ERSO/CARE (EU) and NHTSA/FARS (US). Used here for global context and the LMIC multiplier, not as an independent verification of the EU or US per-pkm rates.

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