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Perceived fear vs. actual probability

What are the odds that a hurricane will destroy a coastal home during a 30-year ownership period?

Lifetime probability · subgroup

~1 in 17

5.9% lifetime chance

Scopes vary — shown as typical adult lifetime odds. See methodology.

Property · reviewed 2026-05-16
Evidence quality 4.63/5

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

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
5/5
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
Source Government statistic · National Oceanic and Atmospheric Administration
lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 3.4 1 in 17

● your factors — click this risk ▾ to reveal

  1. Your factors
A coastal house boarded up with plywood, flat vector illustration in muted tones.

Perceived

Awareness of hurricane risk among Gulf Coast and Atlantic coastal homeowners is generally high — the subject dominates local news each hurricane season, and insurance markets have made the risk increasingly salient through premium increases and non-renewals. No formal national survey specifically elicits perceived probability of total home destruction (as distinct from flooding or wind damage) from a hurricane over a homeownership period. Coastal residents tend to be reasonably aware of annual storm probability but often underestimate the conditional probability that a direct hit results in complete structural loss versus repairable damage.

Rough estimate: coastal homeowners know a strike is plausible; few expect complete destruction

Source: editorial intuition, not polled

Actual

~5% annual probability of a major hurricane (Cat 3+) passing within 50 nm — NOAA's 20-year major-hurricane return-period example

US Gulf/Atlantic Coast location with NOAA's example 20-year major-hurricane return period

Show derivation

Two probabilities are combined: (1) the annual probability that a major hurricane passes within destructive range of the home, and (2) the conditional probability that such a storm destroys the structure. Only the first term is directly source-stated; the second is an engineering estimate flagged as such below. (1) Strike probability (SOURCE-STATED): NOAA's National Hurricane Center defines the hurricane return period as the frequency at which a storm passes within 50 nautical miles of a location, and gives the worked example that "a return period of 20 years for a major hurricane means that on average during the previous 100 years, a Category 3 or stronger hurricane passed within 50 nautical miles of that location about five times" — i.e. an annual major-hurricane strike probability of 5%. This entry uses that stated 5%/yr figure for an active Gulf/Atlantic location. (NOAA also states the highest-frequency locations see a hurricane of ANY category every 5-7 years; the destruction step below is conditioned on a MAJOR strike, so the major-hurricane return period is the relevant term.) (2) Conditional destruction rate (ESTIMATE — NOT source-stated): no cited source states a per-home total-loss rate given a major direct hit. Post-storm reporting on Hurricane Ian (2022, Cat 4) indicates on the order of a percent of a whole direct-path county's housing stock was total-loss, with near-total loss concentrated within 1-2 miles of the track; this entry adopts a conservative ~4% conditional total-loss rate for the broader 50-nm exposure zone as an order-of-magnitude engineering estimate, not a figure any cited source publishes. Annual P(destruction) = P(major strike) × P(destroyed | major strike) = 0.05 × 0.04 ≈ 0.002 (0.2%/yr) Over a 30-year ownership horizon: 1 − (1 − 0.002)^30 ≈ 0.059 (5.9%, ~1 in 17). Sensitivity: raising the conditional rate to 8% roughly doubles the headline (~0.11, ~1 in 9); the wide uncertainty band [1%, 18%] reflects that the conditional term is not source-pinned.

Caveats: This entry applies to US Gulf and active Atlantic coastal homeowners — roughly t…

This entry applies to US Gulf and active Atlantic coastal homeowners — roughly the subset of ~8-10 million housing units in the highest-frequency hurricane exposure zones. The probability calculation requires two uncertain inputs: the annual strike probability (which varies enormously by precise location along the coast) and the conditional destruction rate (which varies by storm intensity, building type, and elevation). The central estimate of 5.9% (1 in 17) over 30 years reflects a mid-Gulf-Coast active location with site-built construction; high-exposure locations (near-shore SE Louisiana, SW Florida) combined with manufactured housing or storm-surge exposure could yield 10-30× higher probabilities. The entry covers wind and surge destruction together; flood insurance is separate from standard homeowners policies in the US (NFIP), so the financial exposure to storm surge is often uninsured or underinsured even when the physical destruction risk is high. This is not a mortality entry — the separately maintained hurricane-death entry covers fatality risk.

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Compare to:

Hurricane total home destruction requires two separate events to coincide: a major storm must pass close enough to cause catastrophic winds or surge, and the home must be in the portion of the impact zone where structures fail completely rather than sustain repairable damage. NOAA’s National Hurricane Center documents that the most exposed Gulf Coast and Atlantic locations — Southeast Louisiana, coastal North Carolina, South Florida — experience a hurricane of any category within 50 nautical miles approximately every 5-7 years. Because complete destruction is overwhelmingly a major-storm outcome, the relevant frequency is the major-hurricane return period: NOAA’s own worked example is a 20-year return period, meaning a Category 3-or-stronger storm passes within 50 nautical miles about five times per century, or roughly a 5% chance in any given year. Only that strike frequency is directly published. The second factor — the share of homes in the exposure zone that suffer complete rather than repairable loss when a major storm hits — is not a figure any of the cited sources states; treating it as an order-of-magnitude few-percent estimate yields an annual destruction probability near 0.2%, which compounds over a 30-year ownership period to roughly 1 in 17. That headline should be read as a bracketed estimate, not a measured rate: the uncertainty band runs from about 1% to 18%, driven almost entirely by how destructive the conditional term is assumed to be.

Hurricane Ian (2022, Category 4) is the clearest recent anchor for the scale of a major direct hit: the Insurance Information Institute ranks it the second-costliest US hurricane on record, at roughly $54 billion in insured losses (about $59 billion in 2025 dollars). What that dollar figure does not resolve is the per-home question — how many structures in the exposure zone are total losses rather than repairable — because insured-loss totals blend a large number of partial claims with a much smaller number of complete losses. The cited sources here do not publish a per-home total-loss rate for Ian or for major hurricanes generally, which is why the conditional destruction term above is presented as an estimate rather than a measured value. Post-storm reporting consistently shows that within the tightest part of a major storm’s track — the immediate landfall zone — near-total loss is common, while damage a few miles inland is more often repairable; that steep gradient, not any single published rate, is what makes the conditional term so uncertain.

The uncertainty range on this estimate is wider than for most entries on this site. The annual strike probability varies by an order of magnitude across the US coastline — from roughly 20%/yr for some SE Louisiana locations to under 1%/yr for New England — and the conditional destruction rate ranges from under 1% for a glancing Category 1 at a modern-code site to near 100% for a Category 5 storm surge zone. The two factors that dominate individual exposure are building type and elevation: manufactured homes are near-certain losses in a direct Category 3+ hit, while post-2002 Florida Building Code frame construction on elevated foundations has survived major storms with repairable rather than total damage. The financial risk is compounded by the gap between wind insurance (standard homeowners policies) and flood/surge insurance (NFIP, which is separate and often not purchased), meaning many coastal homeowners with high physical destruction risk carry insufficient coverage for the specific mechanism — surge — that causes the most complete losses.

A high-risk Gulf Coast location sees a hurricane pass within 50 nautical miles about 2.9% of years, which works out to roughly a 1 in 17 chance of a destructive strike across 30 years of homeownership. Most coastal owners expect damage, not total loss.

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.

1/3 sources independently verified verbatim against the cited source

  1. [1] National Oceanic and Atmospheric Administration — What are the chances a hurricane will hit my home? Verified
    What are the chances a hurricane will hit my home?
    Statistic
    Highest-frequency Gulf/Atlantic Coast locations experience any hurricane within 50nm every 5-7 years; for major hurricanes, return periods are longer; maps available via NHC
    Excerpt
    “"The areas with the highest return periods for a hurricane of any category are coastal North Carolina, South Florida and Southeast Louisiana, about every 5 to 7 years. Coastal New England has the lowest return period at 30 to 50 years. For major hurricanes, the return period is longer. A return period of 20 years for a major hurricane means that on average during the previous 100 years, a Category 3 or stronger hurricane passed within 50 nautical miles of that location about five times." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-14 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    High-frequency locations: any hurricane every 5-7yr → annual P ≈ 14-20%. Major hurricane: NOAA's worked example gives a 20-yr return period → annual P = 5% (five Cat 3+ strikes per 100 years). This 5%/yr major-hurricane figure is taken verbatim from the source and used as the strike-probability term of the two-step calculation. The conditional per-home destruction term is NOT from this source — it is an engineering estimate disclosed in normalized.assumptions.
    Independence
    NOAA NHC return period analysis is derived from the HURDAT hurricane track database (1851-present), entirely independent of insurance claims data.
  2. [2] NOAA Office for Coastal Management — Hurricane Costs
    Hurricane Costs
    Statistic
    Tropical cyclones caused over $1.5 trillion in damage since 1980, the most of any billion-dollar weather-disaster type, with an average cost of $23 billion per event
    Excerpt
    “"Of the 403 billion-dollar weather disasters since 1980 (as of December 31, 2024), tropical cyclones (or hurricanes) have caused the most damage: over $1.5 trillion total, with an average cost of $23 billion per event. They are also responsible for the highest number of deaths: 7,211 since 1980." ”
    Source data from
    2025-01-01
    Accessed
    2026-07-12 · archived copy
    Calculation
    Context only — aggregate loss magnitude; not used in the per-home probability calculation. Confirms tropical cyclones as the costliest billion-dollar disaster type ($1.5T+ total, $23B/event). The page does NOT state a per-home destruction rate or a "mean annual damage" figure, so it does not bear on the headline estimate.
    Independence
    NOAA NCEI Billion-Dollar Weather and Climate Disasters data is compiled from FEMA, insurance industry, and state/local damage assessments; independent of NOAA NHC track data used in the return period source.
  3. [3] Insurance Information Institute — Facts + Statistics: Hurricanes
    Facts + Statistics: Hurricanes
    Statistic
    Hurricane Ian (2022) ranks as the 2nd-costliest US hurricane by insured losses: $54.0 billion when it occurred ($58.9 billion in 2025 dollars)
    Excerpt
    “"Top 10 costliest hurricanes in the United States (insured losses, $ millions): 2 | 2022 | Hurricane Ian | $54,000 | $58,854 (in 2025 dollars)." ”
    Source data from
    2023-01-01
    Accessed
    2026-07-12 · archived copy
    Calculation
    Used only to anchor Hurricane Ian's scale as a recent major (Cat 4) landfall — its ~$54B insured loss makes it the 2nd-costliest US hurricane on record per III. NOTE: III does NOT publish per-home counts (no "30,000 homes damaged", "5,000 demolished in Lee County", "Fort Myers Beach", or "776,941 claims" text appears on the page), so the conditional per-home destruction rate used in the headline is NOT drawn from this source; it is disclosed as an engineering estimate in normalized.assumptions.
    Independence
    III's costliest-hurricanes insured-loss table is compiled from insurer/catastrophe-modeler (Aon, Verisk/PCS) loss estimates; independent of NOAA NHC track data used for the return-period term.

434 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 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 Skipping care over ICE fear — 1 in 7.1 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 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 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 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 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 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 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 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 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 2.3 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 9.8 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 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 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 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 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 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 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 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 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 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 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 Parent death/disability — 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 26 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 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved 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 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 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 Dying without heir — 1 in 100 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 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 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 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 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 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 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 709 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 159 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 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 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 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 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 Child nicotine-pouch ingestion — 1 in 7,937 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 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 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 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 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 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 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 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 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 Crocodile attack — 1 in 337,838 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 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 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 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
Lottery jackpot 1 in 95,238

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