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Health · reviewed 2026-05-16

What are the odds of getting travelers' diarrhea on an international trip to a high-risk destination?

Evidence quality 4.25/5

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
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.25/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 2.0

50% lifetime chance

range 1 in 3.3 to 1 in 1.4

lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.0 1 in 6.7

● your factors — click this risk ▾ to reveal

≈ As likely as

A simplified world map with a heat-spot over South Asia and Africa, a water bottle and fork, flat vector illustration.

Perceived

Travelers to developing-country destinations widely know that gastrointestinal illness is a real risk, but many underestimate how probable it actually is for high-risk destinations like South Asia, Sub-Saharan Africa, and Mexico. Informal survey data from travel medicine clinics suggests most travelers heading to high-risk destinations estimate their per-trip risk at 10-20%, roughly half to one-third of the actual epidemiological range. The condition is also often dismissed as mild inconvenience, though a meaningful fraction of cases involve fever, bloody stools, or require antibiotic treatment.

Rough estimate: Most travelers to high-risk destinations guess 10-20% per trip

Source: editorial intuition, not polled

Actual

30-70% per 2-week trip to high-risk destinations

International travelers to high-risk destinations (South Asia, Sub-Saharan Africa, Mexico, Central America, parts of South America)

Show derivation

CDC Yellow Book 2024 states attack rates of 30-70% for travelers during a 2-week period to high-risk destinations (South/Central Asia, Sub-Saharan Africa, Mexico, Central and South America). The scope is activity_specific_lifetime: this figure represents the per-trip probability for a single 2-week trip to a high-risk destination, not a cumulative lifetime figure. The central estimate of 0.50 (50%) is the midpoint of the 30-70% published range. A Utah-based prospective study of international travelers (PMC9651512) found an incidence rate of 1.1 episodes per 100 travel-days in travelers departing for a mix of destinations, with Southeast Asian and African destinations associated with significantly higher odds. The lifetime_us_adult value here represents the per-trip probability (0.50) for a single high-risk-destination trip; it is not a conventional US adult lifetime accumulation. normalized.scope = activity_specific_lifetime documents this.

Caveats: The 30-70% attack rate is specifically for high-risk destinations (South/Central…

The 30-70% attack rate is specifically for high-risk destinations (South/Central Asia, Sub-Saharan Africa, Mexico, Central America) during a 2-week stay. Travelers to low-risk destinations (Western Europe, Japan, Australia, Canada) face rates below 5% per trip — essentially a different exposure category. The CDC definition of TD requires ≥3 unformed stools in 24 hours plus at least one enteric symptom; milder gastrointestinal disturbances are even more common. Most TD episodes are self-limiting within 1-5 days and require only rehydration; approximately 10% of cases involve fever, bloody stools, or require antibiotic treatment. Hemolytic uremic syndrome and post-infectious IBS are rare but real sequelae in a small fraction of cases. The entry does not cover food poisoning in the context of domestic US travel, which is addressed in other entries.

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Compare to:

Travelers’ diarrhea is the most common travel-related illness and one of the most predictable adverse events in international travel. The CDC Yellow Book 2024 puts the attack rate at 30-70% per two-week trip to high-risk destinations — South Asia, Sub-Saharan Africa, Mexico, and Central and South America. The midpoint of that range, roughly 1 in 2 trips to a high-risk destination, is substantially higher than most travelers’ intuitive estimate of 10-20%. Intermediate-risk destinations (Southeast Asia, Middle East, parts of South America) run 10-20% per trip, and low-risk destinations (Western Europe, Japan, Australia) fall below 5%.

The condition’s clinical course varies more than its reputation suggests. Most episodes are self-limiting within one to five days and require only oral rehydration; the stereotype of a brief unpleasant inconvenience is accurate for roughly 90% of cases. The remaining 10% involve fever, bloody stools, or symptoms persistent enough to warrant antibiotic treatment — and a small fraction of cases result in post-infectious irritable bowel syndrome, a condition that can persist for months after the original infection resolves. Bacteria dominate the etiology, with enterotoxigenic E. coli (ETEC), Campylobacter, and Shigella accounting for the large majority of identifiable cases.

The attack-rate range reflects real and substantial heterogeneity in exposure. Behavioral precaution compliance is the strongest modifiable predictor: consistent avoidance of tap water (including ice), raw vegetables, and unpasteurized dairy reduces risk substantially. Budget travelers eating street food regularly face rates at the upper end of the range; travelers staying in international hotels with purified water throughout their stay face rates at the lower end or below it. Prophylactic rifaximin, used off-label by some travel medicine providers, demonstrates approximately 70% efficacy in controlled trials, though it is not universally recommended due to concerns about promoting antibiotic resistance.

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] Centers for Disease Control and Prevention — Travelers' Diarrhea — CDC Yellow Book 2024
    Travelers' Diarrhea — CDC Yellow Book 2024
    Statistic
    Attack rates 30-70% per 2-week trip to high-risk destinations (South/Central Asia, Sub-Saharan Africa, Mexico, Central and South America); 10-20% for intermediate-risk destinations (SE Asia, Middle East); <5% for low-risk destinations (Western Europe, Japan, Australia)
    Excerpt
    “"Attack rates range from 30%–70% of travelers during a 2-week period, depending on the destination and season of travel. The highest-risk destinations are in Asia (except for Japan and South Korea) as well as the Middle East, Africa, Mexico, and Central and South America." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    CDC Yellow Book attack-rate range: 30-70% per 2-week stay at high-risk destinations. Central estimate: 50% (midpoint). This is a per-trip figure, not a lifetime accumulation, and is used directly as normalized.lifetime_us_adult with scope: activity_specific_lifetime. The 10-20% range for intermediate-risk destinations is cited for context but not used in the primary calculation.
    Independence
    CDC Yellow Book is a government public health reference compiled by CDC travel medicine experts from peer-reviewed literature. It is the primary US clinical reference for travel medicine and is independent from pharmaceutical company prophylaxis studies and private travel insurer claims data.
  2. [2] PMC / National Library of Medicine — Incidence Rate and Risk Factors Associated with Travelers' Diarrhea in International Travelers Departing from Utah, USA
    Incidence Rate and Risk Factors Associated with Travelers' Diarrhea in International Travelers Departing from Utah, USA
    Statistic
    23% of 484 surveyed travelers reported TD; incidence rate 1.1 episodes per 100 travel-days; Southeast Asian and African regions associated with significantly increased odds
    Excerpt
    “"Of 571 travelers who completed posttravel surveys, 484 (85%) answered the TD question, of which 111 (23%) reported TD, for an incidence rate of 1.1 episodes per 100 travel-days. Visiting Southeast Asian and African WHO regions, longer trip duration, visiting both urban and rural destinations were statistically significantly associated with increased odds of reporting TD." ”
    Source data from
    2022-09-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    The Utah study's 23% overall rate across mixed destinations (including low-risk destinations) is consistent with the CDC Yellow Book 30-70% high-risk range when accounting for the study population's destination mix. The 1.1 episodes per 100 travel-days translates to approximately 15 episodes per 100 travelers on a 14-day trip for the average study destination — below the CDC high-risk range because the study included many lower-risk destinations. Used to corroborate that the CDC range is epidemiologically supported; the CDC figure is used for the primary estimate.
    Independence
    This prospective cohort study surveyed travelers departing a single US university travel clinic, making it methodologically independent from CDC Yellow Book meta-analytic estimates. The study's population (Utah international travelers) may differ from the national average traveler in destination choice and demographic composition.
  3. [3] Emerging Infectious Diseases (CDC) — Etiology and Epidemiology of Travelers' Diarrhea among US Military and Adult Travelers, 2018-2023
    Etiology and Epidemiology of Travelers' Diarrhea among US Military and Adult Travelers, 2018-2023
    Statistic
    Bacteria account for 80-90% of TD episodes; ETEC, Campylobacter, and Shigella dominate; antimicrobial-resistant ETEC increasing; rifaximin ~70% effective in Mexico trials
    Excerpt
    “"Bacteria are the predominant enteropathogens and are thought to account for ≥80%–90% of cases. ETEC (enterotoxigenic E. coli) remains the leading pathogen globally. Rifaximin demonstrated approximately 70% efficacy in prophylactic trials in Mexico. Antimicrobial resistance in TD pathogens has increased, complicating empirical treatment." ”
    Source data from
    2024-10-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    Used for the prophylaxis efficacy estimate (rifaximin ~70% reduction) that informs the personal_factor_multipliers entry. Also documents that the disease burden is dominated by bacterial pathogens against which antibiotic prophylaxis and treatment are most effective.
    Independence
    Peer-reviewed CDC journal; data sources include US military surveillance and civilian travel clinic data, distinct from the CDC Yellow Book meta-analytic framework and the Utah cohort study.

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