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Food · reviewed 2026-04-11

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

Evidence quality 4.63/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 317

0.3% lifetime chance

Most people underestimate this.

range 1 in 435 to 1 in 222

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 32 1 in 3,175

● your factors — click this risk ▾ to reveal

≈ As likely as

A single muted bowl viewed from above on a pale sand-colored background, flat vector illustration.

Perceived

Most readers who meet this question in a US or European context quietly assume the answer is "basically zero" — the same intuition that drives the US-specific food-poisoning entry. The global framing sits in an awkward place: Western readers tend to overestimate their own country's outbreak-driven risk (salad recalls, fast-food E. coli clusters) while systematically underestimating the burden of diarrheal foodborne illness in low- and middle-income countries. We have not found a cross-national survey that isolates "fear of dying from contaminated food" as a clean question, so the perceived side here is editorial intuition, not polled data.

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 as a top-3 food safety concern (no equivalent global survey; US figure anchors the perceived side)

Actual

~420,000 global foodborne illness deaths per year

global, all ages, all foodborne hazards (FERG 2010 reference year)

Show derivation

Uses the WHO Foodborne Disease Burden Epidemiology Reference Group (FERG) 2015 headline figure of 420,000 foodborne deaths per year globally (reference year 2010, 95% uncertainty interval 310,000–600,000). Divided by a global population of ~8 billion gives an annual rate of ~5.25 per 100,000, roughly six times the US per-capita foodborne mortality rate. Compounded over 60 adult life-years: 1 − (1 − 5.25e-5)^60 ≈ 3.15e-3, or about 1 in 320 global lifetime. The uncertainty band below is dominated by the FERG 95% UI on the death estimate (310K–600K) rather than sampling noise in the population denominator. This is a global-average scale marker and is useless as a personal estimate — see the regional_breakdown and the body text for why the Sub-Saharan Africa and high-income-country figures differ by more than an order of magnitude.

Caveats: The 420,000/year figure is the WHO FERG central estimate for the 31 hazards they…

The 420,000/year figure is the WHO FERG central estimate for the 31 hazards they assessed (reference year 2010); the 95% uncertainty interval runs 310,000-600,000 and the uncertainty band on the normalized figure reflects that. The global average is a scale marker, not a personal estimate: regional per-capita risk varies by roughly 37x across WHO subregions, and within LMICs mortality is overwhelmingly concentrated in children under 5 rather than adults. A healthy adult in a high-income country has a per-year risk well below the global average; an infant in a rural LMIC has a risk many times above it. Excludes allergic reactions, deliberate poisoning, and gastrointestinal infections transmitted by water or person-to-person rather than food.

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 317 FERG 2015 headline: 420,000 deaths/yr / 8B population, compounded over 60 years
Sub-Saharan Africa 1 in 83 AFR D/E subregions carry ~1,300 DALYs per 100,000 — roughly 4x the global rate. Accounts for a disproportionate share of global foodborne deaths in ~13% of the population.
South-East Asia 1 in 143 SEAR B/D subregions carry ~690-710 DALYs per 100,000, roughly 2x the global rate
High-income countries 1 in 2,000 AMR A (high-income North America) reports ~35 DALYs per 100,000 — a ~37x gap with sub-Saharan Africa driven by cold chains, sanitation, regulation, and clinical care

Risks at similar odds

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

food

Food poisoning (US)

What are the odds of dying from food poisoning?

food

Restaurant food poisoning

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

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?

Animal

Mosquito-borne disease

What are the odds of dying from a mosquito-borne disease?

Compare to:

The WHO Foodborne Disease Burden Epidemiology Reference Group’s 2015 report — still the canonical global estimate a decade later — attributes roughly 420,000 deaths per year to foodborne illness worldwide, out of around 600 million cases. Against a global population of ~8 billion, that works out to about 5.3 per 100,000 per year, or roughly 1 in 320 over a typical 60-year adult life. The US entry on the same question lands at about 1 in 1,860 lifetime. The global number is roughly 6-7 times higher, and the US figure is essentially a rounding error on the global one.

What changes between the two framings is the whole texture of the story. The US version of “dying from food poisoning” is mostly polite: outbreaks of E. coli at fast-food chains, Listeria in cold cuts, the occasional recalled salad. The global version is overwhelmingly dominated by diarrheal disease in children, in settings without reliable refrigeration, clean water, or emergency care. Children under five are roughly a tenth of the world’s population but carry 40% of the foodborne disease burden and ~125,000 of the annual deaths — nearly a third of the total. The headline “420,000 deaths per year” and the headline “roast chicken gone wrong” are technically the same hazard class and not usefully the same fear.

The heterogeneity does most of the work. FERG’s own DALY estimates range from about 35 per 100,000 in high-income North America to roughly 1,300 per 100,000 in the AFR D and AFR E subregions of sub-Saharan Africa — a spread of roughly 37x, driven by cold chains, sanitation, regulation, and clinical care rather than by anything the individual eater can control. A healthy adult in Western Europe or North America faces a per-year risk well below the global average. An infant in a rural low-income setting faces a risk many times above it. The “1 in 320 global lifetime” number is a scale marker for comparing one fear to another across the site, not a personal forecast for anyone in particular.

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] World Health Organization — Food Safety — Fact Sheet
    Food Safety — Fact Sheet

    See all 2 Likelier entries citing this source →

    Statistic
    ~600 million foodborne illnesses and 420,000 deaths globally per year; children under 5 account for 40% of the burden and 125,000 of those 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
    420,000 global deaths / 8,000,000,000 people ≈ 5.25e-5 per year. Compounded over 60 adult years: 1 − (1 − 5.25e-5)^60 ≈ 3.15e-3, or ~1 in 320 global adult lifetime. The 125,000 under-5 deaths out of 420,000 (~30%) is the single most load-bearing heterogeneity in the whole estimate — children 0-4 are less than 10% of the global population but carry nearly a third of the mortality.
    Independence
    WHO's public fact sheet is a restatement of the FERG 2015 report's headline numbers; treat as derivative of the Havelaar et al. PLOS Medicine paper, not as an independent estimate.
  2. [2] PLOS Medicine / Havelaar et al. (WHO FERG) — World Health Organization Global Estimates and Regional Comparisons of the Burden of Foodborne Disease in 2010
    World Health Organization Global Estimates and Regional Comparisons of the Burden of Foodborne Disease in 2010
    Statistic
    420,000 (95% UI 310,000–600,000) foodborne deaths and 33 million DALYs in 2010; burden rates vary from 35 DALYs/100,000 in high-income North America to 1,300 DALYs/100,000 in sub-Saharan Africa
    Excerpt
    “"The global burden of foodborne disease caused by the 31 hazards in 2010 was 33 (95% uncertainty interval [UI] 25–46) million Disability Adjusted Life Years (DALYs); 40% affected children under five years old. The most frequent causes of foodborne illness were diarrheal disease agents [...] Norovirus and Campylobacter spp. caused the largest number of foodborne illnesses. [...] The global burden of foodborne disease is considerable, and affects individuals of all ages, particularly children under five years of age and persons living in low-income regions of the world." ”
    Source data from
    2015-12-03
    Accessed
    2026-04-11 · archived copy
    Calculation
    Havelaar et al. is the peer-reviewed backbone of the FERG 2015 numbers that the WHO fact sheet restates. The regional DALY gradient (1,300 per 100,000 in AFR D/E vs 35 per 100,000 in AMR A, a ~37x range) is the justification for the regional_breakdown figures: we anchor the global average at the FERG headline and scale the regional entries by the reported DALY ratio, then convert to lifetime probability on the same 60-year compounding.
    Independence
    The Havelaar 2015 paper and the WHO fact sheet are the same underlying FERG estimate reported through two channels; not independent. Treated here as the peer-reviewed primary and its public restatement.
  3. [3] World Health Organization / FERG — WHO estimates of the global burden of foodborne diseases: foodborne disease burden epidemiology reference group 2007-2015
    WHO estimates of the global burden of foodborne diseases: foodborne disease burden epidemiology reference group 2007-2015
    Statistic
    First global and regional estimates of the burden of 31 foodborne hazards; developed by FERG over 2007-2015
    Excerpt
    “"WHO estimates of the global burden of foodborne diseases: foodborne diseases burden epidemiology reference group 2007-2015 [...] presents the first global and regional estimates of the burden of foodborne diseases." ”
    Source data from
    2015-12-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    The full FERG 2015 report is the primary document behind both the Havelaar PLOS Medicine paper and the WHO public fact sheet. Cited here as the methodological anchor rather than for a distinct numeric estimate.
    Independence
    Upstream of both the Havelaar 2015 paper and the WHO fact sheet. All three citations are branches of the same FERG 2010-reference-year estimate and should be read as one coordinated body of evidence, not three independent confirmations.

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