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Food · reviewed 2026-05-03

What are the odds of being hospitalized from food poisoning after eating at a restaurant?

Evidence quality 5.0/5

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
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 5.0/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 58

1.7% lifetime chance

range 1 in 119 to 1 in 31

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 5.8 1 in 58

● your factors — click this risk ▾ to reveal

≈ As likely as

A muted flat vector illustration of a fork and spoon crossed over an empty plate on a pale background.

Perceived

Most diners carry a vague, diffuse worry about getting sick from a restaurant meal — the kind that surfaces after spotting an unwashed cutting board, ordering something slightly undercooked, or hearing about a local outbreak. Few people would put a number on it, but the intuitive sense is that a genuinely bad case requiring a hospital visit is somewhere in the range of once-in-a-decade to once-in-a-lifetime, with a rough feel of perhaps 1-in-10 to 1-in-50 per year. That is comfortably above the actual epidemiology, which puts the lifetime hospitalization risk closer to 1-in-55 — real enough to warrant attention, but not the lurking catastrophe that a nervous diner might imagine.

Rough estimate: most diners implicitly estimate a serious illness risk of 1-in-10 to 1-in-50 per year

Source: editorial intuition, not polled

Actual

~1 in 762,000 per restaurant meal (hospitalization)

US adults eating at restaurants, catering establishments, or delis

Show derivation

CDC/Scallan 2011 combined estimate: ~128,000 US hospitalizations per year from domestically acquired foodborne illness (known pathogens plus unspecified agents). CDC outbreak surveillance (MMWR FoodNet reports) consistently attributes roughly 60% of reported foodborne illness outbreaks to restaurants, catering, and delis. Applying that fraction: 128,000 × 0.60 ≈ 76,800 restaurant-linked hospitalizations per year. US adults (~260 million) eat out approximately 4-5 times per week on average (USDA ERS data), approximated here as 225 meals per year × 260 million adults = 58.5 billion restaurant meals per year. Per-meal hospitalization risk: 76,800 / 58.5e9 ≈ 1.31 per million meals (1 in ~762,000). Lifetime probability for a US adult eating out 225 meals/year over 59 years of adult life: 1 - (1 - 1.31e-6)^(225 × 59) ≈ 1.73%, or roughly 1 in 58. Uncertainty band reflects: (low) restaurant fraction 50%, 150 meals/year; (high) restaurant fraction 70%, 300 meals/year, with ~10% upward adjustment for under-ascription of restaurant source.

Caveats: The denominator assumes all US adults eat out ~225 times per year; the actual di…

The denominator assumes all US adults eat out ~225 times per year; the actual distribution is right-skewed — heavy restaurant users (daily lunches, frequent travel) face higher cumulative lifetime exposure than the average implies. The 60% restaurant-attribution fraction comes from reported outbreak data; sporadic cases (the vast majority) are rarely traced back to their source, so the true fraction could be higher or lower. Under-reporting is substantial — only an estimated 1-2% of foodborne illness hospitalizations appear in outbreak surveillance. The lifetime figure is therefore best read as an order-of-magnitude estimate rather than a precise actuarial number. Risk is also heterogeneous by pathogen: norovirus dominates case counts but rarely hospitalizes; Salmonella and Clostridium perfringens drive most restaurant-associated hospitalizations.

Risks at similar odds

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

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Fish bone injury

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Vegetarian deficiency

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Food poisoning (global)

What are the odds of dying from food poisoning (worldwide)?

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Traveler's diarrhea (water)

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Food left out

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Undercooked food

What are the odds of getting food poisoning from undercooked meat, fish, or eggs?

Compare to:

The headline figures from CDC surveillance paint a modest but real picture: approximately 128,000 Americans are hospitalized from foodborne illness each year, and roughly 60% of reported outbreaks are traced to restaurants, catering operations, or delis. Working through the math — about 58.5 billion restaurant meals consumed by US adults annually — the per-meal hospitalization risk sits around 1 in 762,000. Compounded over a lifetime of eating out, a typical US adult faces roughly a 1-in-58 chance of ever being hospitalized from a restaurant meal: meaningfully higher than the lifetime risk of dying from any foodborne illness (~1 in 1,860), but far lower than the vague dread that follows a night of bad leftovers.

What makes the topic interesting is how poorly calibrated our intuitions are about which meals are actually dangerous. Diners tend to worry about visibly exotic risks — rare meat, raw fish, that shellfish that “didn’t seem right” — while the mundane culprits keep showing up in outbreak data: norovirus from a food handler who came in sick, Clostridium perfringens from a catering tray held too long at room temperature, Salmonella from contaminated produce at a salad bar. Most people who spend a day or two sick after a restaurant meal cannot actually identify which meal was responsible — the incubation period for most pathogens runs 6–48 hours, so the suspicious Friday dinner is often exonerated by the Saturday lunch that was the actual source. The upshot is that the fear of restaurant food poisoning is neither irrational nor particularly well-targeted: the risk is real, but the mental model of where it comes from tends to miss.

Risk is far from uniform. Buffets and catering banquets carry a meaningfully higher per-visit risk than table-service restaurants, because food holding times and temperature control are harder to manage at scale. Raw shellfish — oysters in particular — sit in their own risk category; Vibrio vulnificus, present in warm-water oysters, is rare but carries a hospitalization rate approaching 100% and a case-fatality rate exceeding 50% in immunocompromised individuals. Adults over 65, those on immunosuppressive therapy, and pregnant women face roughly 5-17x higher rates of invasive disease from Salmonella and Listeria. For healthy adults eating primarily at table-service restaurants, the lifetime risk of hospitalization is modest; for an elderly diner who regularly eats oysters at summer buffets, the same lifetime window looks considerably more concerning.

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] CDC Emerging Infectious Diseases / Scallan et al. — Foodborne Illness Acquired in the United States — Major Pathogens
    Foodborne Illness Acquired in the United States — Major Pathogens

    See all 3 Likelier entries citing this source →

    Statistic
    31 major pathogens cause ~9.4 million illnesses, ~55,961 hospitalizations, and ~1,351 deaths per year in the US
    Excerpt
    “"We estimated that 31 pathogens acquired in the United States caused 9.4 million episodes of foodborne illness (90% credible interval [CrI] 6.6–12.7 million), 55,961 hospitalizations (90% CrI 39,534–75,741), and 1,351 deaths (90% CrI 712–2,268) each year." ”
    Source data from
    2011-01-01
    Accessed
    2026-05-02 · archived copy
    Calculation
    This is the known-pathogen half of Scallan 2011. Combined with the companion unspecified-agents paper (Scallan et al. 2011b), total hospitalizations reach ~127,839 per year (~56,000 + ~71,878). We use 128,000 as the round CDC-cited combined total. Applying 60% restaurant attribution: ~76,800 restaurant-linked hospitalizations/year. Divided by 58.5 billion restaurant meals/year (260M US adults × 225 meals/year): per-meal risk ≈ 1.31 × 10⁻⁶. Lifetime: 1 - (1 - 1.31e-6)^(13,275 meals over 59 years) ≈ 0.0173.
  2. [2] CDC Emerging Infectious Diseases / Scallan et al. — Foodborne Illness Acquired in the United States — Unspecified Agents
    Foodborne Illness Acquired in the United States — Unspecified Agents

    See all 2 Likelier entries citing this source →

    Statistic
    Unspecified agents add ~71,878 hospitalizations per year; combined known + unspecified total is ~127,839 hospitalizations/year
    Excerpt
    “"We estimated that unknown agents acquired in the United States caused 38.4 million (90% CrI 19.8–61.2 million) episodes of foodborne illness, 71,878 (90% CrI 9,924– 157,340) hospitalizations." ”
    Source data from
    2011-01-01
    Accessed
    2026-05-02 · archived copy
    Calculation
    Companion paper to Scallan 2011a. Adds unspecified-agent hospitalizations to reach the combined ~128,000/year figure used as the denominator basis for all restaurant-attribution calculations.
    Independence
    Scallan 2011a and 2011b partition the same CDC FoodNet/surveillance data into known-pathogen and unspecified-agent components. They share methodology and first author; treat as a single methodological pipeline, not two independent confirmations of the 128,000 hospitalization figure.
  3. [3] CDC / National Outbreak Reporting System (NORS) — Foodborne Disease Outbreaks: Annual Summary Report, United States, 2018
    Foodborne Disease Outbreaks: Annual Summary Report, United States, 2018
    Statistic
    Restaurants (sit-down and fast food) and catering/banquet establishments accounted for the majority of reported foodborne illness outbreaks with a known setting
    Excerpt
    “"Of the 876 outbreaks with a confirmed or suspected food vehicle and a single implicated food preparation setting, 57% occurred in a restaurant or catering or banquet facility." ”
    Source data from
    2021-10-01
    Accessed
    2026-05-02
    Calculation
    CDC's 2018 NORS annual summary reports ~57% of setting-identified outbreaks attributable to restaurants and catering/banquet settings combined. This is consistent with MMWR reports from other years (range 55–65%). We use 60% as the central estimate for restaurant-fraction attribution in the lifetime calculation. Note that reported outbreaks are a subset of total foodborne illness — sporadic cases far outnumber outbreak-associated ones — so this fraction is an approximation for all restaurant-linked hospitalizations.

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