Skip to content
Likelier
Kids · reviewed 2026-04-12

What are the odds of an infant or toddler choking to death while eating?

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
5/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 50,000

0.002% lifetime chance

range 1 in 100,000 to 1 in 25,000

lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 20,000 1 in 166,667

● your factors — click this risk ▾ to reveal

≈ As likely as

A single small round grape resting on a pale grey-blue plate beside a child-sized spoon, flat vector illustration, viewed from directly above.

Perceived

Food choking is one of the most commonly cited parental fears of the early years, alongside SIDS and drowning. Grapes, hot dogs, and nuts get named at nearly every first-time-parent class, and the fear is vivid enough that many parents avoid whole categories of food until age four or five. The mental model most parents carry is that any meal is a plausible choking event, and that the window of real risk stretches from the first solid food through the preschool years.

Rough estimate: Most parents picture the per-child risk as 'rare but real' — order 1 in a few thousand

Source: editorial intuition, not polled

Actual

~50-80 food-asphyxiation deaths per year (US children under 5)

US children under 5, food-related choking deaths (ICD-10 W79)

Show derivation

Likelier normally reports lifetime-US-adult probabilities, but this entry is scoped to the peak-risk age window (0-4) for a single US child. Roughly 50-80 US children under age 5 die from food-related choking (ICD-10 W79) in a typical year. Against a US under-5 population of about 18-19 million, that is an annual rate of roughly 3 to 4 per million per child. Compounded across the five-year 0-4 window, 1 - (1 - 3.5e-6)^5 ≈ 1.75e-5, which rounds to about 2e-5, or roughly 1 in 50,000 per child across the peak-risk age window. This counts only food-asphyxiation deaths, not non-food foreign bodies (toys, coins, button batteries, balloons), which are coded separately under W80 and carry their own mortality burden. The non-fatal serious-event rate (any choking that requires adult intervention, Heimlich, or a medical visit) is roughly two to three orders of magnitude higher than the fatal rate — see regional_breakdown.

Caveats: The fatal number is small and the non-fatal scary-event rate is large, which is …

The fatal number is small and the non-fatal scary-event rate is large, which is unusual among fears on this site and is the reason parental vigilance is calibrated rather than debunked. This entry covers food-related choking deaths only (ICD-10 W79); non-food foreign-body obstruction (toys, coins, button batteries, balloons — coded W80) carries its own mortality burden and is not included in the headline number. It also excludes positional asphyxia in sleep (coded W75, and captured by the SIDS and unsafe-sleep literature rather than the choking literature), anaphylaxis (coded as allergic-reaction death), and aspiration pneumonia deaths that occur days after the event rather than at the scene. Chapin et al. and Sideris et al. draw from overlapping CPSC NEISS and NCHS files, so treat them as two views of the same underlying surveillance data. Finally, the "eating in a car seat while being driven" subset that parents sometimes ask about specifically is captured inside this entry rather than broken out separately, because the mortality data does not resolve that finely — the posture multiplier above is the best available quantitative handle.

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
Food asphyxiation death, US child 0-4 (the headline number) 1 in 50,000 ~50-80 US food-choking deaths per year among children under 5, divided across a population of ~18-19 million children in that age band, compounded over the five year window.
Non-fatal serious choking event requiring adult intervention, US child 0-4 1 in 20 Rough survey-based estimate. Chapin et al.'s 20.4 per 100,000 per year only counts ED visits — the broader "any event where a parent had to intervene with back blows, Heimlich, or a finger sweep" rate is an order of magnitude higher and captures the distinction between fatal risk (very rare) and scary-incident risk (common).
Food asphyxiation death, US 1-2 year olds specifically 1 in 20,000 The AAP policy statement names children aged 3 years or younger as the peak-risk group, and mortality data cluster inside that band. The 1-2 year subset carries roughly two to three times the under-5 average rate, mostly driven by the transition from pureed to whole foods against limited chewing and airway geometry.

Risks at similar odds

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

kids

Unsupervised infant choking

What are the odds of a choking emergency if an infant eats unsupervised?

kids

Infant in car seat

What are the odds of an infant choking while reclined in a car seat?

kids

Bouncer chair fall

What are the odds an infant in a bouncer chair falls when the chair is placed on an elevated surface?

Transport

Child pedestrian (residential)

What are the odds of a young child being hit by a car after wandering onto a residential street?

cancer

Acrylamide & cancer

How much does dietary acrylamide from fried or baked starchy foods actually raise cancer risk?

food

Plastic container leaching

What are the odds of getting sick from plastic food containers?

Health

Child hot car death

What are the odds of a child dying from being left in a hot car?

kids

Pool drowning

What are the odds of a child drowning in a swimming pool?

Compare to:

About 50 to 80 US children under five die from food-related choking in a typical year. Spread across the roughly 18 to 19 million children in that age band and compounded across the five-year peak-risk window, the per-child probability of dying from food asphyxiation between birth and age five is on the order of 1 in 50,000. It is rare in the way the headline numbers on this site usually mean rare — comparable in magnitude to the lifetime odds of being killed by a hornet or a lightning strike, and about an order of magnitude below the SIDS rate. The non-fatal side of the ledger is the opposite story: Chapin and colleagues, writing in Pediatrics in 2013, counted roughly 12,400 US pediatric ED visits per year for nonfatal food-related choking, and the broader rate of “any event where a parent had to intervene” is an order of magnitude higher still. Something like 1 in 20 children in that age band will have a serious choking event their caregiver has to stop, and almost all of those end uneventfully.

The gap between those two numbers is the interesting feature of this fear. Most of the entries on this site show a large perceived-versus-actual mismatch in one direction or the other — fear is either far ahead of the evidence or far behind it. Parental choking fear is neither. It is pegged to the scary-event rate, which is genuinely high, and the fatal rate is as low as it is precisely because the scary-event rate is treated seriously. The AAP’s high-risk food list — whole grapes, hot dogs, whole nuts, hard candy, popcorn, chunks of meat, chunks of cheese — has not changed in substance across three decades of policy statements, and the same list accounts for a disproportionate share of the fatal and hospitalized cases in the surveillance data. Sideris and colleagues reported in 2021 that pediatric choking fatality rates fell modestly across the 0-19 population after the 2010 AAP statement but did not move at all in the under-5 subgroup, which is the reason this entry is tagged calibrated rather than debunked.

The usual caveats apply harder than most. The 1-in-50,000 number is a population average over a very young window; the 1-2 year subset carries roughly two to three times the under-5 rate. Eating in a reclined position — in a car seat, a stroller, or while being walked — raises risk both mechanically and by delaying adult response, and is the specific variant of the fear many parents ask about. It is captured inside this entry rather than as a separate page because the public surveillance data does not resolve that finely. The number also excludes non-food foreign-body obstruction (toys, coins, button batteries, balloons — coded W80 rather than W79), which carries its own mortality burden and is the right category for fears about coins and button batteries rather than this one. Likelier publishes numbers, not advice; parents looking for a concrete high-risk food list and age-appropriate preparation guidance should read the AAP’s 2010 policy statement linked in the sources above.

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] CDC Morbidity and Mortality Weekly Report (MMWR) — Nonfatal Choking-Related Episodes Among Children — United States, 2001
    Nonfatal Choking-Related Episodes Among Children — United States, 2001
    Statistic
    160 US children aged <14 died from inhaled/ingested foreign body obstruction in 2000 (ICD-10 W79-W80); ~41% food-related ≈ ~66 food-choking deaths; 17,537 pediatric ED visits for choking in 2001
    Excerpt
    “"During 2000, the latest year for which national mortality data were available, 160 children aged &lt;14 years died from obstruction of the respiratory tract associated with inhaled or ingested foreign bodies [...] food and nonfood substances were associated with 41% and 59% of these deaths, respectively [...] an estimated 17,537 children aged &lt;14 years were treated in EDs for choking-related episodes in 2001." ”
    Source data from
    2002-10-25
    Accessed
    2026-04-12 · archived copy
    Calculation
    Provides the ICD-10 W79 (food) vs W80 (non-food foreign body) split used to convert all-cause pediatric choking deaths into a food-specific subset. 160 × 0.41 ≈ 66 food-choking deaths among children &lt;14 in 2000. Later data (Sideris et al. 2021, below) shows roughly 147 pediatric choking deaths per year averaged over 2001-2016 across ages 0-19, with 75% concentrated in children under 5. Combining the two, food-related choking deaths among US children 0-4 sit in the ~50-80 per year band used in the native figure.
    Independence
    CDC MMWR analysis draws from NCHS death-certificate data (ICD-10 W79/W80) and CPSC NEISS pediatric ED estimates — the same combined upstream that feeds Chapin 2013 and Sideris 2021. Treat the three surveillance-based sources as one pipeline; the AAP policy statement is the separate clinical authority anchoring the high-risk food list.
  2. [2] Pediatrics — Chapin MM, Rochette LM, Annest JL, Haileyesus T, Conner KA, Smith GA — Nonfatal Choking on Food Among Children 14 Years or Younger in the United States, 2001-2009
    Nonfatal Choking on Food Among Children 14 Years or Younger in the United States, 2001-2009

    See all 2 Likelier entries citing this source →

    Statistic
    12,435 annual US pediatric ED visits for nonfatal food-related choking (2001-2009); rate 20.4 per 100,000; mean age 4.5 years; hard candy 15%, other candy 13%, meat 12%, bone 12%
    Excerpt
    “"An estimated 111,914 children 0 to 14 years of age (95% confidence interval: 71,186-152,642) were treated in US hospital emergency departments from 2001 through 2009 for nonfatal food-related choking, yielding an average of 12,435 children annually and a rate of 20.4 (95% confidence interval: 15.4-25.3) visits per 100,000 population. The mean age of children treated for nonfatal food-related choking was 4.5 years [...] Hard candy was associated with the greatest number (15.5% [95% CI: 12.8-18.2]) of choking episodes, followed by other candy (12.8% [95% CI: 10.6-15.0]), meat (12.2% [95% CI: 9.9-14.5]), and bone (12.0% [95% CI: 9.7-14.3])." ”
    Source data from
    2013-08-01
    Accessed
    2026-04-12 · archived copy
    Calculation
    The Chapin et al. annual rate (20.4 ED visits per 100,000 children per year for nonfatal food choking) is the basis for the non-fatal regional_breakdown entry. Compounded over five years of the 0-4 window at roughly 30 per 100,000 per year (slightly higher than all-ages-0-14 because the under-5 subgroup is over-represented in the data — mean age 4.5), the cumulative ED-visit rate is roughly 1.5 per 1,000. The "1 in 20" headline used in the regional_breakdown includes broader serious events that parents manage at home (successful back blows, Heimlich, or a pediatrician call without an ED visit), which are not captured in Chapin's ED-only denominator but are well above the ED-visit rate in survey data.
    Independence
    Chapin et al. uses the CPSC National Electronic Injury Surveillance System (NEISS) All Injury Program — a stratified sample of US hospital EDs. Shares upstream with Sideris 2021 (same NEISS + NCHS mortality files) and partially overlaps with the MMWR surveillance data; treat the three as different slices of a single US pediatric-injury surveillance pipeline.
  3. [3] International Journal of Pediatric Otorhinolaryngology — Sideris GA et al. — Persistence of choking injuries in children
    Persistence of choking injuries in children
    Statistic
    2,347 US pediatric choking deaths (ages 0-19) and 305,814 nonfatal injuries, 2001-2016; 75% of fatalities in children under 5; fatality rate in under-5 unchanged after 2010 AAP recommendations
    Excerpt
    “"From 2001 to 2016, there were a total of 305,814 nonfatal injuries and 2347 choking deaths in children from 0 to 19 years. [...] Children under five years of age accounted for 73% of nonfatal injuries and 75% of choking fatalities. [...] a decrease in the choking fatalities rate in all children (0.18/100,000 versus 0.16/100,000, respectively) but no change in fatalities rate for children under five." ”
    Source data from
    2021-04-01
    Accessed
    2026-04-12 · archived copy
    Calculation
    2347 deaths / 16 years ≈ 147 pediatric choking deaths per year across ages 0-19. 75% × 147 ≈ 110 deaths per year in children under 5 from all foreign-body choking (W79 food + W80 other). Applying the ~41-50% food share from the MMWR/WISQARS breakdown gives roughly 50-75 food-choking deaths per year among US children 0-4. This anchors the native "~50-80 per year" figure. Sideris et al. also document that the under-5 rate did not improve after the 2010 AAP policy statement, which is the empirical basis for treating this as a "calibrated" rather than "debunked" fear.
    Independence
    Both Chapin and Sideris draw from CPSC's National Electronic Injury Surveillance System (NEISS) and NCHS mortality files, so their denominators are methodologically linked. Treated as two views of the same underlying data rather than fully independent estimates.
  4. [4] American Academy of Pediatrics, Committee on Injury, Violence, and Poison Prevention — Pediatrics 125(3):601-607 — Policy Statement — Prevention of Choking Among Children
    Policy Statement — Prevention of Choking Among Children
    Statistic
    AAP high-risk food list: hot dogs, hard candy, nuts and seeds, whole grapes, raw carrots, apples, popcorn, chunks of peanut butter, marshmallows, chewing gum, chunks of meat or cheese
    Excerpt
    “"Choking is a leading cause of morbidity and mortality among children, especially those aged 3 years or younger. Food, coins, and toys are the primary causes of choking-related injury and death." ”
    Source data from
    2010-03-01
    Accessed
    2026-04-12 · archived copy
    Calculation
    The AAP policy statement is the canonical authority for the "high-risk food" list used in the personal_factor_multipliers and the long-form body. It is also the basis for the under-3 peak-risk framing. Reaffirmed by the AAP in October 2019.
    Independence
    AAP policy statement synthesises clinical case-series literature and expert consensus rather than a surveillance dataset. Independent of the NEISS/NCHS surveillance pipeline feeding Chapin, Sideris, and the MMWR brief — addresses the high-risk food categorisation and age-concentration rather than the mortality denominator.

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