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Likelier
Other · reviewed 2026-04-11

What are the odds of a pet dying during air cargo transport?

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
5/5
D4 Uncertainty
4/5
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, activity-specific

1 in 20,000

0.005% lifetime chance

range 1 in 33,333 to 1 in 12,500

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 2,000 1 in 200,000

● your factors — click this risk ▾ to reveal

≈ As likely as

A single empty pet carrier resting on a pale neutral surface, flat vector illustration in muted greys and soft blue.

Perceived

Pet owners tend to worry a lot about putting a dog or cat into an aircraft cargo hold, and a handful of high-profile incidents (the 2018 United French bulldog puppy death, the annual "worst airline for pets" headlines) anchor that fear. We have not found a standalone survey isolating "fear of your pet dying in air cargo", so perceived risk is marked as editorial intuition. The rough sense most worried owners carry — that the risk is real but not everyday — is actually close to the numbers. What people usually get wrong is not the average rate, it's the enormous gap between breeds.

Rough estimate: most worried owners guess somewhere between 1 in 1,000 and 1 in 10,000 per flight

Source: editorial intuition, not polled

Actual

~1 in 16,000 per pet-flight (US airlines, 2024)

animals transported by US airlines reporting to the DOT, calendar year 2024

Show derivation

Reference subgroup: one pet (dog, cat, or other companion animal) placed on a single US airline flight as reported through the DOT Air Travel Consumer Report animal incident system. Headline figure uses the 2024 annual ATCR numbers: 10 animal deaths across 161,335 animals transported by reporting US carriers, for a per-flight death rate of roughly 1 in 16,000. Averaging the 2021 (7 deaths / ~256,000 transported), 2023 (8 / 124,593), and 2024 (10 / 161,335) years gives approximately 25 deaths across ~542,000 pet-flights, or about 1 in 21,700 — rounded to 1 in 20,000 as the headline point estimate. The scope is declared activity_specific_lifetime because this is per-pet-per-flight risk for a specific activity, not a general-population lifetime risk, and it is not directly comparable to the US-adult lifetime figures on most other Likelier pages. Incident reports cover death, serious injury, and loss; the 1 in 20,000 figure counts deaths only, not injuries or lost animals, which roughly double the total incident rate to around 1 in 12,000 per pet-flight.

Caveats: The per-flight death rate is a small-sample statistic that moves with a handful …

The per-flight death rate is a small-sample statistic that moves with a handful of events per year, and it only covers US airlines that are required to file DOT Part 235 animal incident reports. It does not include foreign carriers, cargo-only airlines, ground-transport pet shipping, or shipments that were declined at check-in for heat embargo or health reasons (which remove higher-risk animals from the denominator before they ever fly). The dataset also does not separate "died during the flight" from "euthanized after arrival due to a flight-related condition" from "died of a pre-existing condition that happened to surface during transit", which are treated as a single reporting category. Finally, the headline rate has drifted downward over the past decade because several US airlines stopped accepting many brachycephalic breeds as cargo, mechanically removing most of the historical fatalities from the system; the residual all-breed rate describes the risk profile of what the airlines still transport, not what they used to transport. Readers comparing this figure to pre-2018 reporting should expect the older numbers to be materially higher.

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
US airlines, all pets, 2024 ATCR 1 in 16,129 10 deaths / 161,335 animals transported = 1 in 16,134 per pet-flight. Deaths only; excludes injuries and lost animals.
US airlines, all pets, 2023 ATCR 1 in 15,625 8 deaths / 124,593 animals transported = 1 in 15,574 per pet-flight.
US airlines, all pets, 2021 1 in 37,037 7 deaths / ~256,000 animals transported = 1 in ~36,600 per pet-flight. 2021 had unusually high volumes relative to deaths.
Brachycephalic dog breeds (pugs, bulldogs, boxers) in cargo 1 in 2,000 AVMA/DOT 2005-2010 data: about half of 122 dog deaths were short-faced breeds at a small fraction of pet transport volume, implying a per-flight rate roughly an order of magnitude above the all-breed average — ~1 in 2,000 per flight is the working estimate. Several US airlines banned these breeds from cargo as a result.
Cabin-transport pets (small dogs, cats under carrier-weight limit) 1 in 200,000 DOT incident reports are dominated by cargo hold events. Cabin carriage incidents are rare enough in the monthly filings to be roughly a tenth of the all-pet rate, putting the per-flight death rate for a cabin pet near 1 in 200,000. Small sample; treat as order-of-magnitude.

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Compare to:

The headline number is roughly 1 in 20,000 per pet-flight on US airlines, averaged across recent years of DOT Air Travel Consumer Report filings. In 2024, reporting carriers logged 10 animal deaths across 161,335 animals transported — about 1 in 16,000. In 2023 it was 8 deaths across 124,593 — about 1 in 15,600. In 2021, 7 deaths across roughly 256,000 — about 1 in 36,600. The per-flight fatality rate is in the same order-of-magnitude ballpark as the lifetime odds a US adult dies in a plane crash, and comfortably lower than most owners guess when asked cold. For a healthy, non-brachycephalic pet on a direct domestic flight in moderate weather, air cargo transport is, statistically, closer to a routine procedure than to a dangerous one.

What makes this fear unusual on Likelier is that the headline rate is not the interesting number. The distribution is extraordinarily skewed by breed. Over a five-year DOT review window summarised by the AVMA, roughly half of all 122 recorded dog deaths on airline flights were brachycephalic breeds — pugs, English bulldogs, Boston terriers, boxers, Pekingese — despite those breeds making up a much smaller share of transported pets. English bulldogs alone accounted for 25 of 122 deaths, and pugs for 11. Short-faced dogs and cats have narrow nostrils and elongated soft palates that compromise breathing under the heat, noise, and stress of a cargo hold; several US airlines, including Delta, United, and American, subsequently stopped accepting many of these breeds as checked cargo on the basis of the same data. Most of the “airlines kill pets” headline events of the last fifteen years involved a brachycephalic animal. The all-breed average hides that.

Where the headline number does not apply: it does not describe a brachycephalic dog (probably closer to 1 in 2,000 per flight historically, which is why they are now largely banned from cargo), a senior pet with cardiac or respiratory disease (roughly 3x the average), or a pet exposed to summer heat or winter cold on the tarmac between connecting flights. It also does not describe a small dog or cat riding in the cabin under the seat, where DOT-reportable incidents are rare enough to imply a per-flight fatality rate around an order of magnitude below the all-pet figure. Bulfon et al.’s 2023 peer-reviewed owner-survey study of 663 air-traveled dogs found that most recovered quickly from flying, with only about 0.6 percent still showing elevated stress 30 days out, but the two deaths in the sample were both in the cargo hold. The risk-reduction levers — cabin over cargo, direct over connecting, cool weather over summer, a healthy non-flat-faced adult over an elderly bulldog — are almost entirely within the owner’s control, which is rare for a fear whose baseline rate is already small.

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] US Department of Transportation, Office of Aviation Consumer Protection — Air Travel Consumer Report: December 2024, Full Year 2024 Numbers
    Air Travel Consumer Report: December 2024, Full Year 2024 Numbers
    Statistic
    10 animal deaths, 3 injuries, 0 lost, across 161,335 animals transported by US airlines in calendar year 2024 (rate of 0.81 incidents per 10,000 animals)
    Excerpt
    “"For calendar year 2024, carriers reported 10 animal deaths, injuries to three other animals, and zero lost animals, for a total of 13 incidents, up from nine incident reports filed in calendar year 2023. For calendar year 2024, 161,335 animals were transported by airlines, for a rate of 0.81 incidents per 10,000 animals transported." ”
    Source data from
    2025-03-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Airlines that transport animals in the US are required by 14 CFR Part 235 to report every death, injury, or loss of an animal during air transport to the DOT, which publishes the tallies in the monthly Air Travel Consumer Report. Dividing the 10 reported deaths by the 161,335 animals transported in 2024 gives a per-flight death rate of 1 / 16,134 ≈ 0.0000620, or roughly 6 per 100,000 pet-flights. Including injuries and lost animals as "incidents" raises the combined figure to 13 / 161,335 = 1 in 12,410 per pet-flight. The DOT's headline "0.81 incidents per 10,000" phrasing matches this 1-in-12,000 combined-incident rate, not the death-only rate. The three-year average across 2021 (7/~256,000), 2023 (8/124,593) and 2024 (10/161,335) gives 25 deaths across roughly 542,000 pet-flights, or 1 in 21,700 — the basis for the 1 in 20,000 headline.
    Independence
    DOT is the upstream source for US airline pet incident data; essentially every other secondary report (AVMA, Time, PetFlight, AWI) depends on the same Part 235 filings, so these are not independent measurements, just different presentations of the same regulatory dataset.
  2. [2] American Veterinary Medical Association — Air travel and short-nosed dogs FAQ
    Air travel and short-nosed dogs FAQ
    Statistic
    Approximately half of 122 dog deaths associated with airline flights over a 5-year period involved short-faced brachycephalic breeds; 25 were English bulldogs and 11 were pugs
    Excerpt
    “"Over the last 5 years, approximately one-half of the 122 dog deaths associated with airline flights involved these short-faced breeds." ... "25 of the 122 dogs that died over the 5-year period were English bulldogs, followed by 11 pugs." ... "Short-nosed breeds of dogs—such as pugs, Boston Terriers, boxers, some mastiffs, Pekingese, Lhasa Apsos, Shih tzus and bulldogs—are more likely to die on airplanes." ”
    Source data from
    2011-06-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    AVMA summarised a DOT-data review showing that brachycephalic (short-snouted) breeds accounted for roughly half of all dog deaths on US airline flights in 2005-2010, despite being a much smaller fraction of the total pet population transported. This is the main evidence for the ~10x breed multiplier used in the personal factor table: if English bulldogs alone contributed 25/122 ≈ 20 percent of all dog deaths at a far lower share of total transported pets, their per-flight death rate is roughly an order of magnitude above the all-breed average. Several US airlines (Delta, United, American) subsequently banned many brachycephalic breeds as checked cargo based partly on this data.
    Independence
    AVMA's summary is built on the same underlying DOT Part 235 animal incident reports as the first source, so the two citations share an upstream dataset. They are used here as complementary rather than independent: the DOT report is the authoritative headline rate, and AVMA provides the breed-level breakdown that the raw DOT tables do not publish in a digested form.
  3. [3] Animals (MDPI) / US National Library of Medicine PMC — How Well Do Dogs Cope with Air Travel? An Owner-Reported Survey Study
    How Well Do Dogs Cope with Air Travel? An Owner-Reported Survey Study
    Statistic
    In a 663-dog owner-reported survey, 2 dogs died during the study period, both traveling in cargo holds; 9.4 percent of dogs were much more or extremely more stressed 48 hours post-flight, declining to 0.6 percent at 30 days
    Excerpt
    “"Most dogs cope with and recover well from air travel but that there is a group of individuals who suffer physical, mental, and emotional ill health consequences during or after air travel, including death." ... "Only 8.3% of dogs in this survey were brachycephalic breed dogs." ”
    Source data from
    2023-09-22
    Accessed
    2026-04-11 · archived copy
    Calculation
    The Bulfon et al. owner-reported survey is the most recent peer-reviewed study of how companion dogs tolerate air travel. Used here as a qualitative cross-check on two points: (a) the headline rate of fatal or serious adverse events is small but nonzero even in a self-selected sample of travel-willing owners, and (b) the distribution of stress responses is highly skewed — most dogs recover quickly, a small minority suffer substantial post-flight effects, and fatalities concentrate in cargo hold placement. The study is not powered to compute a per-flight mortality rate directly (n=663 dogs, 2 deaths is not a stable denominator), but it corroborates the DOT pattern that deaths, when they occur, are overwhelmingly in cargo hold rather than cabin travel.
    Independence
    Bulfon et al. collected an independent owner-reported sample rather than DOT Part 235 filings, so this source is methodologically independent of the first two. It measures a partially overlapping population (pet dogs on commercial flights, mostly European and Australasian carriers) but uses a separate data-collection 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