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Food · reviewed 2026-04-11

What are the odds of dying from food poisoning?

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 1,862

0.05% lifetime chance

range 1 in 5,556 to 1 in 1,000

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 19 1 in 1,862

● your factors — click this risk ▾ to reveal

≈ As likely as

A single muted ceramic plate viewed from above on a pale grey-blue background, flat vector illustration.

Perceived

Food poisoning is one of those fears that lives almost entirely in the aftermath of the last bad meal. Most people have had a memorable bout of it, most assume "worst case I spend a night on the bathroom floor," and very few associate the words with a death certificate. There is no good survey of what fraction of US adults believe foodborne illness could kill them, so the best we can say is that the perceived tail risk is usually treated as effectively zero for healthy adults.

Rough estimate: 50% of US adults rank foodborne illness among their top-3 food safety concerns

Source: International Food Information Council (IFIC) (2025) — IFIC 2025 Food & Health Survey — 50% of US adults rank foodborne illness (E. coli, Salmonella, Listeria) as a top-3 food safety concern

Actual

~3,000 US foodborne illness deaths per year

US residents, all ages, domestically acquired foodborne illness

Show derivation

Uses the CDC / Scallan et al. 2011 central estimate of ~3,000 US deaths per year from domestically acquired foodborne illness (known pathogens plus unspecified agents), against a US population of ~330 million, giving an annual rate of roughly 9.1 per million (≈ 0.91 per 100,000). Compounded over 59 years of remaining adult life: 1 - (1 - 9.1e-6)^59 ≈ 5.37e-4, or about 1 in 1,860. The uncertainty band is wide because Scallan's methodology imputes heavily from under-reported case data — the published 90% credible interval on the combined death estimate spans roughly 1,000-5,600 deaths per year. Excludes allergic reactions, deliberate poisoning, and non-foodborne gastrointestinal infections.

Caveats: Excludes allergic reactions (anaphylaxis to food allergens is coded separately),…

Excludes allergic reactions (anaphylaxis to food allergens is coded separately), deliberate poisoning, and gastrointestinal infections transmitted person-to-person or via water rather than food. The Scallan estimates are modeled from passive surveillance data with substantial under-reporting, so the true number could plausibly be anywhere in the low thousands to mid-five-thousands per year — the uncertainty band on the normalized figure reflects that. Risk is also highly heterogeneous: immunocompromised adults, pregnant women, adults over 65, and infants carry per-capita risks several times higher than the all-ages average, driven largely by Listeria, invasive Salmonella, and Toxoplasma.

Risks at similar odds

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

food

Restaurant food poisoning

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

food

Food poisoning (global)

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

food

Food left out

What are the odds of getting food poisoning from eating food left out of the fridge?

food

Undercooked food

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

food

Fish mercury

What are the odds that eating fish regularly will harm you from mercury exposure?

food

Raw meat cross-contamination

What are the odds of getting sick from not washing hands or surfaces after handling raw meat or eggs?

Health

Choking

What are the odds of choking to death?

Compare to:

The CDC’s canonical figure, drawn from Scallan and colleagues’ 2011 estimate in Emerging Infectious Diseases and still in use on the agency’s public pages fifteen years later, is roughly 3,000 US deaths per year from domestically acquired foodborne illness. Against a population of ~330 million, that works out to about 0.9 per 100,000 per year, or roughly 1 in 1,860 over a typical adult lifetime. That puts fatal food poisoning somewhere between drowning and a plane crash on the lifetime-risk scale — rare, but not as rare as most healthy adults assume when they’re deciding whether the chicken looks fine.

The interesting thing about food poisoning is the collapse between the numerator and the denominator. CDC’s own estimate is ~48 million illnesses per year in the US, meaning roughly one in seven Americans gets a foodborne illness every year, and the case fatality rate conditional on getting sick is on the order of 1 in 16,000. Almost all of the encounters are the bathroom-floor kind; the fatal ones are overwhelmingly driven by a handful of pathogens — nontyphoidal Salmonella, Listeria monocytogenes, Toxoplasma, and norovirus — attacking people whose bodies can’t absorb the hit. This is why the Scallan numbers carry such wide credible intervals: the death total is modeled from severely under-reported surveillance data, and the 90% CrI on the unspecified-agents portion alone spans roughly 370 to 3,300 deaths per year.

The heterogeneity is the part of the number that most deserves attention. Foodborne fatalities are heavily concentrated among adults over 65, pregnant women and their fetuses, infants, and immunocompromised patients — transplant recipients, chemotherapy patients, people with advanced HIV, and anyone on long-term immunosuppression. A healthy 35-year-old’s per-year risk is well below the all-ages 0.9-per-100,000 figure; an 85-year-old nursing home resident’s is several times above it. Globally, the picture is worse still: WHO estimates around 420,000 foodborne deaths per year worldwide, roughly six times the US per-capita rate, with children under five carrying 40% of the burden. The US number used here is an optimistic baseline that assumes a functioning cold chain, reliable sanitation, and access to emergency care. Where any of those break down, the relevant comparison is the global figure, not the domestic one.

About 65% of people will get sick from undercooked food over a lifetime. Dying from food poisoning is roughly 1 in 1,860. The gap between misery and mortality is enormous.

Read more → ⇄ compare

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, ~56,000 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
    2026-04-11 · archived copy
    Calculation
    This is the "known pathogens" half of Scallan 2011. The companion paper on unspecified agents adds another ~1,686 deaths/year, bringing the combined total to ~3,037 deaths/year — the figure CDC cites publicly as "~3,000 US deaths per year from foodborne illness." We use the combined total for the normalized lifetime calculation.
    Independence
    Scallan et al. (2011a) is the companion paper to Scallan et al. (2011b); they partition foodborne illness into known-pathogen vs unspecified-agent components from the same CDC FoodNet and outbreak surveillance data.
  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 ~38.4 million illnesses, ~71,878 hospitalizations, and ~1,686 deaths per year; combined total ~47.8 million illnesses, ~127,839 hospitalizations, ~3,037 deaths
    Excerpt
    “"We estimated that acute gastroenteritis caused 179 million episodes annually. After adjusting for non-foodborne transmission [...] and for acute, nongastroenteritis illness, an estimated 38.4 million (90% CrI 19.8–61.2 million) episodes of domestically acquired foodborne illness from unspecified agents occurred annually, resulting in 71,878 hospitalizations (90% CrI 9,924–157,340) and 1,686 deaths (90% CrI 369–3,338). Overall, we estimated that each year 47.8 million episodes of domestically acquired foodborne illness occur, resulting in 127,839 hospitalizations and 3,037 deaths." ”
    Source data from
    2011-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    The combined ~3,037 deaths/year is the basis for the normalized figure. 3,037 / 3.3e8 ≈ 9.2 per million per year. Over 59 adult-remaining years: 1 - (1 - 9.2e-6)^59 ≈ 5.4e-4, or about 1 in 1,850. Rounded to 5.37e-4 (1 in 1,860). The 90% CrI on the unspecified-agents death estimate alone (369–3,338) is nearly an order of magnitude wide, which is why our normalized uncertainty band stretches from roughly 1 in 5,500 to 1 in 1,000 lifetime.
    Independence
    The two Scallan 2011 papers are companion pieces from the same author team and methodology — they are not independent estimates of the same quantity, they are complementary partitions of the total burden (known pathogens + unspecified agents).
  3. [3] US Centers for Disease Control and Prevention — About Food Safety
    About Food Safety

    See all 4 Likelier entries citing this source →

    Statistic
    CDC estimates 48 million illnesses, 128,000 hospitalizations, and 3,000 deaths per year from foodborne illness in the US
    Excerpt
    “"CDC estimates that each year 48 million people get sick from a foodborne illness, 128,000 are hospitalized, and 3,000 die." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    CDC's public-facing page restates the Scallan 2011 totals as round numbers. This is the canonical figure cited in policy and press. Used here to confirm that the ~3,000/year estimate remains the current CDC headline fifteen years after publication, not as an independent estimate.
    Independence
    Derived directly from Scallan 2011 — treat as confirmation of continuing use, not as an independent data point.
  4. [4] World Health Organization — Food Safety — Fact Sheet
    Food Safety — Fact Sheet

    See all 2 Likelier entries citing this source →

    Statistic
    Globally, an estimated 600 million foodborne illnesses and 420,000 deaths annually; children under 5 account for 125,000 deaths
    Excerpt
    “"An estimated 600 million — almost 1 in 10 people in the world — fall ill after eating contaminated food and 420 000 die every year [...] Children under 5 years of age carry 40% of the foodborne disease burden, with 125 000 deaths every year." ”
    Source data from
    2024-05-30
    Accessed
    2026-04-11 · archived copy
    Calculation
    WHO's 420,000 global deaths / ~8 billion population ≈ 5.3 per 100,000 per year, roughly 6x the US per-capita rate. The gap reflects the concentration of foodborne mortality in low- and middle-income countries with less developed cold chains, sanitation, and clinical care. Used as an order-of-magnitude cross-check and to frame that the US number is an optimistic baseline relative to the global picture.
    Independence
    WHO's Foodborne Disease Burden Epidemiology Reference Group (FERG) estimates are methodologically adjacent to the Scallan approach and share some input data — treat as related-but-not-identical rather than fully independent.

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