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Natural · reviewed 2026-04-11

What are the odds of being killed in a flood?

Evidence quality 4.88/5

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
5/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 20,202

0.005% lifetime chance

Most people underestimate this.

range 1 in 55,556 to 1 in 10,000

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 202 1 in 20,202

● your factors — click this risk ▾ to reveal

≈ As likely as

A single stylized water-level line rising against a pale sky with the top of a simple house shape just visible, flat vector illustration in muted blues and grey.

Perceived

Floods are the deadliest thunderstorm-related hazard in the US and the most frequent natural disaster globally, but we have not found a rigorous recent survey that isolates "fear of being killed in a flood" from general severe-weather or climate anxiety. We mark the perceived side as editorial intuition. Anecdotally, the gap that matters here is not geographic — it is behavioral. The single most consistent finding in the US flood mortality literature is that people routinely underestimate the force of moving water and drive into it; "turn around, don’t drown" exists precisely because the common-sense prior ("it’s only a few inches") is wrong.

Rough estimate: 31.7% of US adults report being afraid or very afraid of a devastating flood (Chapman Survey 2024)

Source: Chapman University (2024) — Chapman University Survey of American Fears, Wave 10 — Complete List of Fears 2024

Actual

~6,600 global flood deaths per year (WHO Bulletin, 1990-2022 EM-DAT window)

global

Show derivation

Uses ~6,600 global flood deaths per year as the smoothed long-window average, anchored on the WHO Bulletin analysis of EM-DAT records for 1990-2022 (218,353 total deaths across 4,713 recorded flood events in 168 countries, ≈ 6,617/year). Jonkman’s 1975-2002 analysis gives a comparable ~6,500/year from a different compilation of the same underlying disaster database. Annual per-capita risk ≈ 6,600 / 8,000,000,000 ≈ 8.25e-7; compounded over 60 adult life-years ≈ 4.95e-5, which we display as ~1 in 20,000 global adult lifetime. The window matters: the long-run average is dominated by rare megaevents (the 1931 China floods alone are estimated at 1-4 million deaths, and modern events like the 1998 Bangladesh floods, 2010 Pakistan floods, and 2022 Pakistan floods each killed thousands), while the post-2000 smoothed average is closer to 5,000-7,000 per year. The uncertainty band below brackets the window-sensitivity rather than sampling noise, and the headline is an average-global-adult figure that is essentially meaningless for any individual — see the regional breakdown and caveats.

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

The global-average figure is a scale marker, not a personal estimate. Flood mortality is heavily concentrated in South Asian and East Asian river deltas, coastal Southeast Asia, and flash-flood-prone terrain in low- and middle-income countries — per-capita lifetime risk in those settings is one to two orders of magnitude above the global average. In high-income countries, where exposure is lower and warning and evacuation infrastructure is mature, the residual risk is dominated by a single behavioral pathway: driving into flooded roadways. The US 30-year record, in which more than half of flood drownings involve vehicles, is the clearest example of a fatality profile that is almost entirely preventable at the margin. "Turn around, don’t drown" is one of the most evidence-supported safety messages on the site because the specific behavior it targets accounts for the majority of the specific deaths it is trying to prevent.

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 20,202 WHO Bulletin 1990-2022 smoothed annual deaths ÷ 8B × 60-year adult life.
Bangladesh / Pakistan / flood-prone South Asia 1 in 1,000 Low-lying deltas, monsoon river systems, and extreme single-event tolls (1998 Bangladesh, 2010 and 2022 Pakistan each killed thousands); the 1931 China floods alone are estimated at 1-4 million deaths, illustrating the megaevent dominance of the long-run record.
US average 1 in 50,000 ~88 flood deaths per year across a 333M-person country, of which more than half involve vehicles driven into flooded roadways — the behavioral story dominates the US headline.
Sub-Saharan Africa 1 in 10,000 Lower absolute numbers than South Asia but a high mortality fraction per event, driven by limited warning infrastructure and high building vulnerability.

Risks at similar odds

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

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Landslide death

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Tsunami

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AMOC collapse

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Compare to:

Across the 33-year window 1990-2022, the WHO Bulletin’s analysis of EM-DAT records attributes 218,353 deaths to floods globally — an average of roughly 6,600 per year, spread across 4,713 recorded events in 168 countries. Jonkman’s earlier 1975-2002 analysis of the same underlying disaster database lands within 2% of that number (~6,500/year from 175,000 deaths over 27 years), which is the main reason we use it as the headline rather than any shorter-window mean. Divided by eight billion people and compounded over a 60-year adult life, the order-of-magnitude figure is about 1 in 20,000 global lifetime — roughly five times higher than the equivalent tsunami figure, about half the global hurricane number, and about an order of magnitude lower than the global earthquake number. Geography dominates: South Asia, East Asia, and coastal Southeast Asia carry most of the absolute mortality, while the WHO European Region accounts for only about 2.5% of the global total.

What makes the US flood story unusual is how much of it is behavioral rather than meteorological. NWS records put the long-run US average near 88 flood deaths per year across a population of 333 million — a lifetime baseline near 1 in 63,000, roughly a third of the global figure. But within that already-low number, more than half of all flood-related drownings involve a vehicle driven into hazardous flood water, according to CDC data cited by NWS. Six inches of fast-moving water can knock an adult off their feet. Twelve inches can float most cars. Twenty-four inches can sweep away SUVs and trucks. The force of moving water is reliably underestimated in real-time, and “turn around, don’t drown” exists because the single most common fatal decision is the one that feels safest: edging into a flooded road to see how deep it is. It is one of the sharpest behavioral multipliers on the site — the lifetime risk for a driver who will, some day, ignore a TADD sign is not the US baseline.

The global trend is the other thing that changes the headline. Flood mortality has declined substantially over the last fifty years despite rising exposure, driven by early warning systems, operational forecasting, building codes, and organized evacuation. Bangladesh is the clearest example: per-event death tolls fell by something like two orders of magnitude between the 1970s and the 2010s even as population and floodplain occupation both grew, because the country invested heavily in cyclone shelters, river monitoring, and evacuation coordination. The long-run average is still pulled hard by megaevents — the 1931 China floods alone are estimated at between one and four million deaths, a figure large enough to move any century-scale denominator — but the post-2000 smoothed annual average is closer to 5,000-7,000 per year than to any of the mid-20th-century peaks. The hazard hasn’t changed. The mortality has.

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] Bulletin of the World Health Organization (Liu Q, Du M, Wang Y, Deng J, Yan W, Qin C, Liu M, Liu J) — Global, regional and national trends and impacts of natural floods, 1990-2022
    Global, regional and national trends and impacts of natural floods, 1990-2022
    Statistic
    4,713 floods recorded in 168 countries between 1990 and 2022 resulted in 218,353 deaths and more than US$1.3 trillion in economic damages; South-East Asia Region had 71,713 deaths (32.84%), Region of the Americas 48,630 (22.27%), Western Pacific Region 42,721 (19.57%), Eastern Mediterranean 29,819, Africa 19,927, Europe 5,543.
    Excerpt
    “"Between 1990 and 2022, 4713 floods were recorded in 168 countries, which resulted in 218 353 deaths and caused more than US$ 1.3 trillion in economic damages. Of these, the South-East Asia Region had the highest number (71 713; 32.84%) followed by the Region of the Americas (48 630; 22.27%)." ”
    Source data from
    2024-06-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    WHO Bulletin total of 218,353 deaths / 33 years ≈ 6,617 deaths per year, which we round to ~6,600 as the headline native figure. Annual per-capita risk ≈ 6,600 / 8,000,000,000 ≈ 8.25e-7; compounded over 60 adult years ≈ 4.95e-5 ≈ 1 in 20,200, which we display as ~1 in 20,000. The regional breakdown in the paper (South-East Asia and Americas together accounting for 55% of deaths, Europe contributing only 2.5%) is the empirical basis for the regional_breakdown rows below.
    Independence
    The WHO Bulletin analysis draws on EM-DAT (CRED) records, the same underlying disaster database used by Jonkman (2005) and by most modern flood mortality research. Treat the two peer-reviewed sources as methodologically independent compilations of overlapping source data — they agree on the order of magnitude (~6,500-6,600 deaths/year) across very different time windows, which is the main reason we use that number rather than a shorter-window mean.
  2. [2] Natural Hazards (Jonkman, S.N.) — Global Perspectives on Loss of Human Life Caused by Floods
    Global Perspectives on Loss of Human Life Caused by Floods
    Statistic
    Over the 27-year period studied, more than 175,000 people died and close to 2.2 billion were affected directly by floods worldwide; flash floods produce the highest average mortality per event, and Asian river floods dominate absolute casualty counts.
    Excerpt
    “"Over 27 years, more than 175,000 people died and close to 2.2 billion were affected directly by floods worldwide. ... Flash floods result in the highest average mortality per event. ... On a worldwide scale Asian river floods are most significant in terms of number of persons killed and affected." ”
    Source data from
    2005-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Jonkman’s 175,000 deaths / 27 years ≈ 6,500/year — within 2% of the WHO Bulletin figure despite covering a different window (1975-2002 vs 1990-2022) and using a different compilation of the EM-DAT records. Jonkman is the source traditionally cited for the "flash floods have the highest per-event mortality" and "Asian river floods dominate global casualty counts" claims, both of which shape the regional_breakdown and body text here.
    Independence
    Jonkman (2005) and Liu et al (2024) both draw ultimately from EM-DAT / CRED disaster records. Treated as methodologically independent because of the different time windows, different aggregation choices, and different research groups; their agreement on order of magnitude is the main quantitative anchor for the headline.
  3. [3] NOAA National Weather Service — Turn Around Don't Drown — Flood Safety
    Turn Around Don't Drown — Flood Safety
    Statistic
    Per CDC data cited by NWS, over half of all US flood-related drownings occur when a vehicle is driven into hazardous flood water. 6 inches of moving water can knock an adult off their feet; 12 inches of moving water can carry away most cars; 24 inches can sweep away SUVs and trucks.
    Excerpt
    “"According to the Centers for Disease Control and Prevention, over half of all flood-related drownings occur when a vehicle is driven into hazardous flood water. ... Six inches of fast-moving water can knock over an adult. It takes just 12 inches of rushing water to carry away most cars and just 2 feet of rushing water can carry away SUVs and trucks." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Used to anchor the US behavioral-multiplier story rather than the global normalized figure. The NWS / CDC "over half" framing is the evidence base for the personal_factor_multipliers entry on driving into flooded roadways and for the "turn around, don’t drown" paragraph in the body text. NWS reports an approximate long-run average near 88 US flood deaths per year across its 30-year window, which gives a US lifetime baseline of ~88/333M × 60 ≈ 1.6e-5 ≈ 1 in 63,000 — an order of magnitude lower than the global figure because US flood mortality is dominated by behavioral (vehicle) rather than exposure (coastal-delta inundation) pathways, and because US warning and evacuation infrastructure is unusually mature.
    Independence
    NWS hazard-statistics pages and CDC mortality reporting are partially overlapping (NWS Storm Data is one input CDC uses to classify weather-related deaths), so the two figures should be treated as a single US authoritative chain rather than two fully independent estimates.

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