Skip to content
Likelier
Transport · reviewed 2026-05-16

What are the odds of being on a cruise ship voyage that has a norovirus outbreak?

Evidence quality 4.75/5

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
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 24

4.1% lifetime chance

Most people overestimate this.

range 1 in 77 to 1 in 12

lifetime, activity-specific each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B

≈ As likely as

A large ocean cruise ship viewed from a low angle against a grey-white sky, flat vector illustration with muted colours.

Perceived

"Floating petri dish" is a reliable piece of travel journalism that resurfaces every January as cruise season peaks. The narrative is vivid — thousands of passengers confined in a self-contained vessel, sharing dining halls and handrails, sometimes stuck at sea for days after illness spreads. Media coverage of high-profile outbreaks (Queen Mary 2, Celebrity cruise lines, Royal Caribbean ships) reinforces the impression that norovirus is almost a standard feature of cruising rather than an occasional event. No rigorous polling specifically asks Americans about cruise-illness fear, but industry surveys suggest a meaningful share of cruise-avoiders cite disease concerns. The fear is directionally right but orders of magnitude larger than the data support.

Rough estimate: Most prospective cruisers believe illness outbreaks are common — a common industry-cited figure is that 53% of Americans who avoid cruising cite illness or disease concerns

Source: editorial intuition, not polled

Actual

~42 per 10,000 voyages have a CDC-reportable gastroenteritis outbreak (≥3% of passengers ill)

All cruise ship voyages under CDC VSP jurisdiction, 2006-2019 (MIDRS dataset, n=37,276 voyage reports)

Show derivation

The CDC Maritime Illness Database and Reporting System (MIDRS) recorded 156 reportable outbreaks among 37,276 voyage reports from 252 cruise ships over 2006-2019: a per-voyage outbreak rate of 0.418%, rounded to ~42 per 10,000. A CDC-reportable outbreak requires ≥3% of passengers or crew to report acute gastroenteritis symptoms to the ship's medical staff — a threshold designed to capture true outbreaks rather than background GI complaints. For someone taking 10 cruises across a lifetime, the probability of being aboard at least one outbreak voyage is 1 − (1 − 0.0042)^10 ≈ 4.1%. This is the probability of being on the ship during a reportable outbreak, not the probability of personally falling ill: within an outbreak voyage, the typical passenger attack rate is ~7% (meta-analysis of 45 outbreaks, Simou et al. 2024), so the per-voyage probability of personally becoming sick in a reportable outbreak is roughly 0.42% × 7% ≈ 0.03%. Over 59 years, total US cruise exposure per adult (averaging across all US adults, most of whom cruise rarely or never) is ~1-2 voyages, giving a ~0.5-1.0% lifetime probability of being on an outbreak voyage for the general US adult population.

Caveats: The 0.42% per-voyage figure counts only CDC-reportable outbreaks — those where ≥…

The 0.42% per-voyage figure counts only CDC-reportable outbreaks — those where ≥3% of passengers report GI symptoms to the ship's medical staff. This threshold is designed to detect genuine outbreaks rather than background complaint rates; it excludes the much larger number of individual GI illnesses that do not escalate into reportable events. The broader "any passenger GI illness per voyage" figure from MMWR 2016 is 0.18% of all passengers, which implies roughly 1 in 50 voyages has at least one passenger reporting GI symptoms — a meaningfully higher burden than the outbreak-only metric. The surveillance data covers ships using US ports that report to the CDC VSP; vessels operating exclusively under non-US flags with different reporting standards are not captured. Outbreak rates trended downward from 2006 to 2019 (rates per 100,000 travel-days fell nearly in half), suggesting improved shipboard hygiene, but 2024 saw the highest number of reportable outbreaks in over a decade (17 outbreaks). The lifetime figure is activity-specific: it applies to people who cruise, not the general US adult population.

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?

Transport

Spaceflight (astronaut)

What are the odds of dying as an astronaut on a spaceflight mission?

Transport

Driving after cannabis

What are the odds of causing a fatal crash by driving within a few hours of using cannabis?

Transport

Driving at 0.10% BAC

What are the odds of causing a fatal crash when driving with a 0.10% blood alcohol level?

Transport

Driving on sedating meds

What are the odds of causing a fatal crash by driving while on a sedating prescription medication?

Transport

Drowsy driving

What are the odds of causing a fatal crash by driving without enough sleep?

Transport

E-scooter injury

What are the odds of serious injury riding an electric scooter?

Transport

Eating while driving

What are the odds of a crash from eating or drinking while driving?

Compare to:

The CDC Vessel Sanitation Program tracked 156 reportable gastroenteritis outbreaks across 37,276 cruise ship voyages between 2006 and 2019 — a per-voyage outbreak rate of about 0.42%, or roughly 1 in 238 voyages. A reportable outbreak requires at least 3% of passengers to report acute gastrointestinal symptoms to the ship’s medical staff; the threshold exists to distinguish true outbreaks from background noise. Norovirus caused more than 90% of outbreaks with a confirmed pathogen. The “floating petri dish” narrative captures something real, but the rate at which it materialises into a CDC-reportable event is considerably lower than most prospective cruisers estimate.

When an outbreak does occur, a meta-analysis of 45 outbreaks spanning 1990 to 2020 (Simou et al. 2024) put the weighted average passenger attack rate at 7% — meaning that during an outbreak voyage, about 1 in 14 passengers becomes clinically ill. Combining the per-voyage outbreak probability (0.42%) with the within-outbreak personal illness probability (7%) gives a per-voyage personal illness risk of roughly 0.03% from a reportable norovirus outbreak. For someone who takes 10 cruises across a lifetime, the probability of being on at least one outbreak voyage is about 4.1%; the probability of personally becoming sick in a reportable outbreak over those 10 voyages is closer to 0.3%. Both are non-trivial but far below the impression created by intermittent disaster coverage.

Surveillance rates did improve over the study period: GI illness rates per 100,000 travel-days fell from 32.5 in 2006 to 16.9 in 2019, according to the CDC Yellow Book, reflecting improvements in onboard sanitation, enhanced environmental cleaning protocols, and the Vessel Sanitation Program’s inspection regime. The 2024 reversal — 17 reportable outbreaks, the highest count in over a decade — is a reminder that shipboard gastroenteritis requires active suppression rather than passive improvement. The practical implication is that handwashing compliance among both passengers and crew is the dominant modifiable variable, not the vessel itself.

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 (MIDRS surveillance report) — Acute Gastroenteritis on Cruise Ships — Maritime Illness Database and Reporting System, United States, 2006–2019
    Acute Gastroenteritis on Cruise Ships — Maritime Illness Database and Reporting System, United States, 2006–2019
    Statistic
    156 passenger outbreaks in 37,276 voyage reports from 252 cruise ships (0.42% per voyage); ~90% of outbreaks with known causative agents involved noroviruses
    Excerpt
    “"During 2006–2019, a total of 37,276 voyage reports from 252 cruise ships were submitted to MIDRS... During 2006–2019, VSP investigated 156 outbreaks among passengers and 16 outbreaks among crew... approximately 90% of cruise ship outbreaks with known causative agents involved noroviruses." ”
    Source data from
    2021-09-01
    Accessed
    2026-05-09 · archived copy
    Calculation
    156 outbreaks / 37,276 voyage reports = 0.4184% per voyage. Rounded to 0.42% (42 per 10,000) for the native numerator. MIDRS is the definitive longitudinal dataset for CDC-jurisdiction cruise ship illness surveillance; it is larger and more comprehensive than the earlier MMWR 2016 dataset (which covered 2008-2014 only).
  2. [2] CDC Morbidity and Mortality Weekly Report, January 8, 2016, Vol. 65, No. 1 — Acute Gastroenteritis on Cruise Ships — United States, 2008–2014
    Acute Gastroenteritis on Cruise Ships — United States, 2008–2014
    Statistic
    133 outbreaks in 29,107 voyages (0.46% per voyage); 73,599,005 total passengers; 129,678 reported GI cases (0.18% of passengers)
    Excerpt
    “"Among 73,599,005 passengers on cruise ships during 2008–2014, a total of 129,678 (0.18%) cases of acute gastroenteritis were reported... Of 29,107 voyages with submitted AGE reports, 133 (0.46%) had outbreaks... Norovirus caused 92 (96.8%) of the 95 laboratory-confirmed GI outbreaks." ”
    Source data from
    2016-01-08
    Accessed
    2026-05-09 · archived copy
    Calculation
    The MMWR 2016 dataset (2008-2014) gives 0.46% per voyage vs. the MIDRS (2006-2019) 0.42%. The rates are consistent; we use the larger MIDRS dataset as primary. The 0.18% of all passengers experiencing any GI illness per voyage — not just in outbreak voyages — represents the broader background illness rate that is two to three times higher than the outbreak-only figure.
    Independence
    MMWR 2016 is an earlier CDC publication drawing on the same VSP surveillance system as MIDRS. The two datasets partially overlap (2008-2014) but cover different time windows and use the same outbreak definition. They are corroborating rather than independent estimates.
  3. [3] Centers for Disease Control and Prevention, Travelers' Health Yellow Book — Cruise Ship Travel — CDC Yellow Book 2024
    Cruise Ship Travel — CDC Yellow Book 2024
    Statistic
    Rates of GI illness fell from 32.5 to 16.9 per 100,000 travel days (2006-2019); average of 12 norovirus outbreaks annually on US-port cruise ships (2006-2019)
    Excerpt
    “"During 2006–2019, rates of GI illness among passengers on voyages lasting 3–21 days fell from 32.5 to 16.9 cases per 100,000 travel days... On cruise ships, >90% of GI illness outbreaks with a confirmed cause are due to norovirus... between 2006–2019, an average of 12 norovirus outbreaks occurred annually on international cruise ships using U.S. ports." ”
    Source data from
    2024-05-01
    Accessed
    2026-05-09 · archived copy
    Calculation
    The 16.9 per 100,000 travel-days figure (2019, most recent available) translates to roughly 0.12% of passengers per 7-day voyage experiencing any GI symptoms reported to medical staff. This is lower than the overall 0.18% figure because rates trended downward over the surveillance period. The Yellow Book is the primary clinical reference for US travel medicine practitioners advising cruise passengers.
  4. [4] Eurosurveillance, Vol. 22, Issue 45, 2017 — Mouchtouri, Verykouki, Zamfir, Hadjipetris, Lewis, Hadjichristodoulou — Gastroenteritis outbreaks on cruise ships: contributing factors and thresholds for early outbreak detection
    Gastroenteritis outbreaks on cruise ships: contributing factors and thresholds for early outbreak detection
    Statistic
    9 outbreaks in 760 cruises (1.18%) on 5 European ships; attack rate 23.9% in outbreak vs 1.4% in non-outbreak voyages; overall incidence 2.81 per 10,000 traveller-days
    Excerpt
    “"The overall incidence rate of AG was 2.81 cases per 10,000 traveller-days (95% CI: 0.00–17.60)... nine outbreaks of AG occurred... in 760 cruises; 1.18%... The attack rate was 14.05 (95% CI: 0.00–55.08) per 10,000 travellers for non-outbreak cruises and 238.80 (95% CI: 0.00–738.70) per 10,000 travellers for outbreak cruises." ”
    Source data from
    2017-11-09
    Accessed
    2026-05-09 · archived copy
    Calculation
    This European fleet dataset uses a lower outbreak threshold than the CDC's 3% rule and covers only 5 ships, so its 1.18% outbreak rate is not directly comparable to the CDC's 0.42-0.46%. It is included as a peer-reviewed independent corroboration of the per-voyage outbreak order of magnitude. The 2.81 per 10,000 traveller-days incidence rate translates to roughly 0.20% of passengers experiencing GI illness per 7-day voyage, close to the CDC's 0.18% all-passengers figure.
    Independence
    Mouchtouri et al. use European cruise fleet data with ship-level surveillance reporting, independent of the US CDC VSP system. The methods and fleet are distinct, making this a genuine independent corroboration.
  5. [5] Eurosurveillance, 2024 — Simou et al. — Systematic literature review and meta-analysis on preventing and controlling norovirus outbreaks on cruise ships, 1990 to 2020
    Systematic literature review and meta-analysis on preventing and controlling norovirus outbreaks on cruise ships, 1990 to 2020
    Statistic
    45 outbreaks on 26 cruise ships (1990-2020); weighted average passenger attack rate 7% (95% CI 5-9%); crew attack rate 2%
    Excerpt
    “"weighted average of prevalence (attack rate) for passengers of 7% (95% CI: 5.00–9.00)... 45 outbreaks on 26 cruise ships from 1990 to 2020... Attack rates increased as the length of the cruise voyage increased, ranging from 2.94% for cruises under 7 days to 7.86% for cruises of 11+ days." ”
    Source data from
    2024-03-01
    Accessed
    2026-05-09 · archived copy
    Calculation
    The 7% weighted average attack rate within outbreak voyages is the multiplier used to convert per-voyage outbreak probability (0.42%) into per-voyage personal illness probability (0.42% × 7% ≈ 0.03%). This is the primary source for the within-outbreak attack rate; it synthesizes 45 outbreaks spanning 30 years and is independent of the CDC VSP surveillance pipeline.

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