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Likelier
Transport · reviewed 2026-04-11

What are the odds of dying in a ferry accident?

Evidence quality 4.75/5

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
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 133,333

0.0008% lifetime chance

Most people overestimate this.

range 1 in 333,333 to 1 in 50,000

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 13 1 in 133,333

● your factors — click this risk ▾ to reveal

≈ As likely as

A single simplified ferry silhouette on a flat horizon line, rendered in muted blue-grey tones, flat vector illustration.

Perceived

Ferry disasters surface in the global news cycle in brutal bursts — MV Doña Paz in 1987 (~4,000 dead, the deadliest peacetime maritime disaster on record), the Estonia in 1994, the Sewol in 2014, and a steady drip of capsizes in the Democratic Republic of Congo, Nigeria, Bangladesh, and the Philippines. We have not found a rigorous recent survey that isolates "fear of dying in a ferry accident" as a standalone item, so the perceived side here is editorial intuition rather than polled data. Most Western readers with no exposure to developing-world waterways probably hold a rough prior shaped almost entirely by televised footage of those single events.

Rough estimate: rare-but-catastrophic; most readers have no explicit prior

Source: editorial intuition, not polled

Actual

~1,000-1,400 ferry deaths per year (global, recent)

global

Show derivation

Uses the Worldwide Ferry Safety Association (WFSA) / Baird Maritime figure of ~1,308 ferry fatalities in 2023 and ~1,378 in 2021 as the recent-baseline, blending with the WFSA's older "800-1,000 per year" long-window estimate to settle on ~1,000/year as a conservative midpoint. Annual per-capita risk ≈ 1,000 / 8,000,000,000 ≈ 1.25e-7; compounded over 60 adult life-years ≈ 7.5e-6, rounded to an order-of-magnitude 1 in 130,000. The uncertainty band reflects (a) under-reporting of developing-world incidents, which the WFSA and IMO both flag explicitly, and (b) window sensitivity — a single catastrophic year (Doña Paz 1987, Sewol 2014) can move the long-run average by a factor of several. This is an "average global adult" scale marker and is not a useful personal estimate for anyone — see the regional breakdown.

Caveats: The global-average figure is a scale marker, not a personal estimate. Ferry risk…

The global-average figure is a scale marker, not a personal estimate. Ferry risk is extraordinarily bimodal: developed-country scheduled services (EU, UK, Norway, Japan, US Washington State, Canada, Greece, Australia) produce roughly 20 fatalities per year across billions of passenger-journeys, while overloaded inland and coastal ferries in a handful of low-income countries produce nearly all of the remaining ~1,000-1,300 annual deaths. Averaging the two regimes produces a number that applies to neither. Under-reporting of incidents in the high-fatality regions is explicit in both the WFSA and IMO data; the true global figure is almost certainly higher than 1,000/year. A single catastrophic event (Doña Paz 1987, Sewol 2014) can double or triple the headline for any given year.

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
Global average 1 in 133,333 Long-window midpoint; heavily dominated by developing-world catastrophic events
Northwest Europe / Japan / US scheduled service 1 in 33,333,333 Essentially zero absent a catastrophic single event; Eurostat records 15 passenger fatalities across the entire EU flag fleet 2020-2024
Bangladesh / Philippines / Indonesia domestic 1 in 2,000 Overloaded wooden and inland vessels; sudden hazardous weather; low enforcement of load limits
Sub-Saharan Africa lake and river ferries 1 in 3,333 DR Congo and Nigeria alone accounted for ~70% of global ferry fatalities in 2023 per WFSA/Baird Maritime

Risks at similar odds

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Compare to:

Ferry safety is one of the most bimodal transport-risk distributions on the planet. The Worldwide Ferry Safety Association, aggregated via Baird Maritime, counts roughly 1,308 ferry fatalities globally in 2023 and 1,378 in 2021, with about 80% of the 2023 total concentrated in African nations and the Democratic Republic of Congo and Nigeria alone accounting for ~70% of the global figure. Only twenty of those 2023 deaths occurred in developed countries. Smoothed across a long window and divided by eight billion people, the global-average lifetime figure is roughly 1 in 130,000 — on the same order of magnitude as being killed by a tsunami, and about an order of magnitude below the lifetime risk of dying in a plane crash for a regular flyer.

The number is a scale marker, not a personal estimate for any individual reader. The Eurostat figures tell the other half of the story cleanly: across the entire EU flag-state passenger fleet from 2020 to 2024, fifteen passenger fatalities were recorded in total, against hundreds of millions of passenger-journeys per year. A Likelier reader taking the ferry in Greece, Washington State, Norway, or Japan faces a per-journey risk that is effectively indistinguishable from zero. The “ferry” concept is misleading because the category spans two wildly different operational realities: well-regulated scheduled services on the one hand, and overloaded wooden craft on inland rivers and lakes on the other.

The window-sensitivity problem is severe. MV Doña Paz (1987, ~4,000 deaths) remains the deadliest peacetime maritime disaster in history; a single bad day can eclipse an entire decade of baseline. The IMO’s own flag-state reporting pipeline records just 502 deaths across 504 accidents from 2011 to 2020 — roughly an order of magnitude below the WFSA estimate for the same period, because the countries where most ferry deaths actually occur submit little or no data to the IMO. The gap between those two figures is the honest uncertainty range. The headline number assumes the WFSA compilation is closer to ground truth, which is our best current reading but not a settled one.

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] Eurostat / European Commission — Maritime accident fatalities in the EU
    Maritime accident fatalities in the EU
    Statistic
    15 passenger fatalities in EU-registered ship accidents 2020-2024 (five-year total); 2 passenger-ship fatalities in 2024; 19 total maritime fatalities per year on average across EU-registered ships 2020-2024
    Excerpt
    “"Only 2 fatalities were recorded in accidents involving passenger ships in 2024, an 85.7% decrease compared with 2022, when 14 fatalities were recorded. Between 2020 and 2024, there were 15 passenger fatalities in EU-registered ship accidents, with 13 occurring in 2022. On average, over the period 2020-2024, there were 19 fatalities per year." ”
    Source data from
    2025-07-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Eurostat's EU-registered ship data is the clearest available upper bound on "developed-country scheduled ferry service" risk: 15 passenger fatalities across the entire EU flag-state passenger fleet over five years. EU maritime passenger volumes run at roughly 400 million passengers/year (Eurostat maritime transport of passengers), so the per-passenger fatality rate sits at roughly 15 / (5 × 4e8) ≈ 7.5e-9 per passenger-journey. Used as the empirical anchor for the "developed country / Northwest Europe" row of the regional breakdown, and as a floor for the global-average uncertainty band.
    Independence
    Eurostat compiles from EU member state accident investigation bodies via EMSA, entirely independent of the WFSA/Interferry pipeline used in source #2.
  2. [2] Journal of Public Transportation / Golden AS, Weisbrod RE — Trends, Causal Analysis, and Recommendations from 14 Years of Ferry Accidents
    Trends, Causal Analysis, and Recommendations from 14 Years of Ferry Accidents
    Statistic
    232 major ferry accidents worldwide 2000-2014, 21,574 deaths (avg 1,541/year, ~130/incident); 88% due to human error
    Excerpt
    “"A conservative tally based on news reports showed 21,574 lives were lost, an average of 130 deaths per incident and 1,541 deaths per year." ”
    Source data from
    2016-03-01
    Accessed
    2026-04-12 · archived copy
    Calculation
    Peer-reviewed analysis of global ferry accidents providing the most comprehensive academic tally of ferry fatalities. The 1,541 deaths/year figure is consistent with the WFSA industry estimates and the IMO analysis.
    Independence
    Independent academic research — different methodology and data collection from both Eurostat and the IMO/WFSA estimates.
  3. [3] Journal of Shipping and Trade (Springer Nature) / PMC — A holistic view of maritime navigation accidents and risk indicators: examining IMO reports from 2011 to 2021
    A holistic view of maritime navigation accidents and risk indicators: examining IMO reports from 2011 to 2021
    Statistic
    504 maritime accidents reported to the IMO from January 2011 to December 2020; 502 deaths and 744 injuries; average 0.996 deaths per reported accident
    Excerpt
    “"there were 504 maritime accidents over the decade from January 2011 to December 2020 and 502 deaths and 744 injuries. […] The average number of reported deaths for the period was nearly 1 (0.996)." ”
    Source data from
    2023-04-21
    Accessed
    2026-04-11 · archived copy
    Calculation
    The peer-reviewed IMO figure of ~502 deaths across a full decade is almost two orders of magnitude below the WFSA figure (~10,000-13,000 deaths for the same window). The gap is the central methodological problem of global ferry safety statistics: the IMO only captures reports formally submitted by flag states, and the countries where most ferry deaths actually occur submit little or no data. The under-reporting is the direct reason we use the WFSA number as the primary anchor rather than the IMO number, and the reason the uncertainty band is asymmetric upward.
    Independence
    Entirely independent of both Eurostat and WFSA — draws from the IMO GISIS flag-state reporting pipeline.

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