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Kids · reviewed 2026-05-24

What are the odds of a child being killed or seriously injured by falling from a window or balcony?

Evidence quality 4.38/5

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
5/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.38/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 855

0.1% lifetime chance

Most people underestimate this.

range 1 in 1,429 to 1 in 500

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 171 1 in 21,368

● your factors — click this risk ▾ to reveal

≈ As likely as

A single pale window frame with a horizontal guard bar across the lower sash, viewed straight on against a muted grey-blue background, flat vector illustration.

Perceived

No published US perception survey isolates window or balcony falls as a standalone parental fear, so this entry uses editorial intuition. Parents of toddlers tend to think about windows the way they think about stair gates and outlet covers — a once-and-done childproofing item that fades from attention after the first year. The American Academy of Pediatrics has issued a dedicated policy statement on falls from heights since 2001 precisely because the underlying intuition runs the wrong way: peak risk is concentrated in ages 1 to 4, not infancy, and the mechanism is climbing onto sofas, beds, or chairs adjacent to an opened window — a developmental window most parents associate with greater autonomy and lower fragility. Balcony rail spacing and the absence of window guards in most US private housing are not common dinner-table topics. The fear is genuinely underrated relative to how preventable the events are.

Rough estimate: Most parents likely treat windows as a low-priority childproofing item past the first year, when ages 1-4 are actually the peak-risk window.

Source: editorial intuition, not polled

Actual

~5,180 US children aged 0-17 treated in EDs annually for window-fall injuries (Harris 2011, NEISS 1990-2008)

US children aged 0-17

Show derivation

Harris VA, Rochette LM, Smith GA (Pediatrics 2011, NEISS 1990-2008) estimate 98,415 US ED visits for window-fall injuries among children 0-17 across the 19-year study period — an average of 5,180/year. The mean age was 5.1 years and children 0-4 accounted for approximately 65% of injuries. Splitting against the ~73 million US children under 18: - 0-4 (≈20M children): 65% × 5,180 ≈ 3,370 cases/year → ~16.8 per 100,000/year - 5-9 (≈20M children): ~25% × 5,180 ≈ 1,295 cases/year → ~6.5 per 100,000/year Cumulative through age 10 (independent-trial compounding): - 0-4 window: 1 − (1 − 0.000168)^5 ≈ 0.000840 - 5-9 window: 1 − (1 − 0.000065)^5 ≈ 0.000325 - Combined: 1 − (1 − 0.000840)(1 − 0.000325) ≈ 0.00116 Rounded: ~0.00117, or ~1 in 860 per US child by age 10. Adding balcony falls (not captured in Harris's window-specific NEISS extraction) pushes the figure moderately higher; international series and the AAP policy statement bracket windows + balconies together as the same prevention category, so the headline is best read as a window-anchored lower bound for the combined mechanism. Fatal window falls are an order of magnitude rarer: SafeKids / UC Davis (2024) estimates roughly 8 fatal window falls per year in US children under 5, suggesting an annual under-5 fatality rate around 0.4 per 100,000 and a cumulative fatal probability through age 10 on the order of 1 in 380,000 — two-and-a-half orders of magnitude below the serious-injury headline. Scope is subgroup_lifetime: this is the probability that a given US child experiences at least one qualifying ED visit during the first decade of life, not a US adult's remaining lifetime probability.

Caveats: The headline is the per-child cumulative probability of an ED visit for a window…

The headline is the per-child cumulative probability of an ED visit for a window-fall injury through age 10, derived from Harris et al. (Pediatrics 2011) NEISS data spanning 1990-2008. Three structural caveats apply. First, NEISS captures windows specifically as the product code; balcony falls are not separately tracked at national scale in the US, so the headline is a window-anchored lower bound for the combined window-plus-balcony mechanism that the question asks about. Second, ~25% of these ED visits result in hospitalization and ~26% involve a head or brain injury — the headline therefore mixes "serious enough to warrant ED imaging" with "admitted to the hospital" and "brain injury", which span a wide severity range; readers wanting a fatal-only number should subtract roughly two orders of magnitude (cumulative fatal window-fall probability through age 10 is on the order of 1 in 380,000 per child). Third, the Harris dataset ends in 2008; subsequent NEISS extractions (Academic Pediatrics 2020) find the annual incidence in 0-4-year-olds has declined modestly since then, consistent with steady but slow adoption of window guards and stops in US private housing. Risk is heavily concentrated in age 1-4, in dwellings of two or more stories, and in homes without operable window guards or 4-inch opening limiters — the NYC "Children Can't Fly" experience shows that the residual risk in guard-equipped dwellings drops by roughly 96%, putting the achievable floor well below the population-average headline. Excludes intentional falls, falls from playground or sports equipment (separate mechanism), and falls from cribs or changing tables (covered in infant-fall-from-furniture).

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Compare to:

Harris, Rochette, and Smith’s 2011 Pediatrics analysis of the Consumer Product Safety Commission’s National Electronic Injury Surveillance System estimated 98,415 US children aged 0-17 treated in emergency departments for window-fall injuries between 1990 and 2008 — an average of 5,180 per year. The mean age was 5.1 years and boys accounted for 58.1% of cases. Splitting that flow against the ~73 million US children under 18, and re-weighting against the study’s finding that children aged 0-4 made up 65% of injuries, gives an annual rate of roughly 16.8 per 100,000 for under-5s and ~6.5 per 100,000 for ages 5-9. Compounded as independent trials across the first decade of life, the cumulative per-child probability of a window-fall ED visit through age 10 sits around 1 in 860. One in four of those ED visits ends in hospital admission, and the under-5 age band carries 3.22 times the head-injury rate of older children. Fatal window falls are a smaller subset — SafeKids and UC Davis Health cite roughly 8 fatal window falls per year in US children under 5, which works out to a cumulative fatal probability through age 10 on the order of 1 in 380,000, two-and-a-half orders of magnitude below the serious-injury headline.

The mechanism is well-characterized and remarkably uniform across US case series. Vish, Powell, Wiltsek, and Sheehan’s 2005 Injury Prevention analysis of 90 Chicago pediatric trauma-center cases found a median age of 2 years and that 98% of falls were from the third floor or lower — the dominant mental image of a window fall as a high-rise event is not what the US epidemiology shows. The recurring mechanism is a toddler climbing onto a sofa, bed, or chest placed adjacent to an opened window, leaning against the insect screen (which is not designed to bear human weight), and falling through. The American Academy of Pediatrics’ 2001 policy statement Falls From Heights: Windows, Roofs, and Balconies recommends limiting accessible window openings to four inches or less, opening double-hung windows from the top sash only, installing operable window guards (openable for fire egress) on second-story and higher windows, and ensuring balcony, deck, porch, and fire-escape railings have vertical spacing of no more than four inches. None of these interventions are universal requirements in US private housing outside specific municipal mandates.

The strongest natural experiment in the US literature is the New York City “Children Can’t Fly” program. Charlotte Spiegel and Francis Lindaman’s 1977 American Journal of Public Health paper documented the program’s launch in 1972 and a 50% reduction in reported window falls in the Bronx between 1973 and 1975. The 1976 NYC Health Code amendment requiring landlord-provided window guards in any apartment housing children aged 10 or younger has since been credited with a roughly 96% reduction in pediatric window-fall hospitalizations relative to the pre-program baseline — a magnitude of effect that is rare in injury prevention and that has held across five decades. The implication for calibration is straightforward: the headline 1-in-860 figure is the population average across US housing, in which window guards are not the norm. In dwellings where guards or 4-inch opening limiters are installed and maintained, the residual risk falls by roughly a factor of 25, putting a guard-equipped child’s ten-year window-fall probability well below 1 in 20,000. The fear is genuinely underrated relative to the gap between what is achievable and what is the default, and the prevention menu is unusually concrete: a fixture, a measurement, and a maintenance check.

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] Pediatrics (American Academy of Pediatrics) — Harris VA, Rochette LM, Smith GA — Pediatric injuries attributable to falls from windows in the United States in 1990-2008
    Pediatric injuries attributable to falls from windows in the United States in 1990-2008
    Statistic
    98,415 US children 0-17 treated in EDs for window-fall injuries 1990-2008 (avg 5,180/year); mean age 5.1 years; 58.1% boys; 25.4% hospitalized; ages 0-4 had 3.22× higher head-injury rate and 1.65× higher hospitalization/mortality rate than 5-17; hard landing surfaces 2.05× more head injury and 2.23× more hospitalization/death than cushioned
    Excerpt
    “"An estimated 98 415 children (95% confidence interval [CI]: 82 416-114 419) were treated in US hospital EDs for window fall-related injuries during the 19-year study period, averaging 5180 patients per year. The mean age of children was 5.1 years, and boys accounted for 58.1% of cases. One-fourth (25.4%) of the patients required admission to the hospital." ”
    Source data from
    2011-09-01
    Accessed
    2026-05-24 · archived copy
    Calculation
    Primary US population denominator. 5,180 cases/year against ~73 million children 0-17 → ~7.1 per 100,000/year averaged across the full pediatric age range. Re-weighting against the 65% concentration in ages 0-4 gives ~16.8 per 100,000/year for under-5 and ~6.5 per 100,000/year for 5-9, which combined as independent trials over the 0-10 window yields the ~0.00117 cumulative-probability headline. The Harris paper is the first nationally representative US dataset on pediatric window falls and remains the canonical denominator for any per-child US window-fall probability estimate.
    Independence
    NEISS-based national sample, Consumer Product Safety Commission surveillance pipeline. Independent of the trauma-registry and single-center sources cited below.
  2. [2] Pediatrics (American Academy of Pediatrics) — Committee on Injury and Poison Prevention — American Academy of Pediatrics: Falls from heights: windows, roofs, and balconies
    American Academy of Pediatrics: Falls from heights: windows, roofs, and balconies
    Statistic
    Approximately 140 deaths from falls occur annually in US children younger than 15; ~3 million children require ED care for fall-related injuries each year; AAP recommends limiting window opening to ≤4 inches, opening double-hung windows from the top only, installing operable window guards on second-and-higher-story windows, and balcony rail spacing ≤4 inches
    Excerpt
    “"Approximately 140 deaths from falls occur annually in children younger than 15 years, and 3 million children require emergency department care for fall-related injuries [...] preventive strategies [include] the installation of window guards and balcony railings." ”
    Source data from
    2001-05-01
    Accessed
    2026-05-24 · archived copy
    Calculation
    Authoritative US framing for the broader fall-death denominator (140/year across all fall mechanisms, all children under 15) and the prevention menu (4-inch window opening limit, top-sash opening, operable guards on 2nd-story and higher, balcony rail spacing ≤4 inches). Used here as the pediatric policy anchor: window and balcony falls share a prevention framework even though the surveillance data sets are typically separated by product/mechanism. The 140-deaths-per-year figure is the all-falls pediatric total — window-fall-specific fatality is a small subset (~8 fatal per year in under-5s per SafeKids 2024).
    Independence
    AAP policy statement synthesizing the field; methodologically distinct from NEISS surveillance and from the NYC public-health intervention evaluations. Provides the prevention-recommendations basis for the personal_factor_multipliers below.
  3. [3] American Journal of Public Health (1977; reprinted Injury Prevention 1995) — Spiegel CN, Lindaman FC — Children can't fly: a program to prevent childhood morbidity and mortality from window falls
    Children can't fly: a program to prevent childhood morbidity and mortality from window falls
    Statistic
    NYC 'Children Can't Fly' program began 1972; reported window falls in the Bronx declined 50% from 1973 to 1975; NYC Board of Health amended Health Code in 1976 to mandate landlord-provided window guards in apartments housing children aged 10 and younger; subsequent NYC data document a ~96% reduction in pediatric window-fall hospitalizations relative to pre-program baseline
    Excerpt
    “"Reported falls declined 50 percent from 1973 to 1975 [...] In 1976 the Board of Health amended the Health Code to require that landlords provide window guards in apartments where children ten years old and younger reside." ”
    Source data from
    1977-12-01
    Accessed
    2026-05-24 · archived copy
    Calculation
    Foundational US public-health evaluation showing the multiplier effect of window-guard mandates. The within-three-years 50% Bronx reduction is the directly attributable figure in the original paper; the broader 96% reduction headline frequently cited (e.g. by NYC DOHMH, Nationwide Children's Hospital press releases, and SafeKids) refers to the decade-after-mandate hospitalization reduction in NYC pediatric window falls and informs the window-guard multiplier in the personal-factor table (0.04× under mandated-guard conditions versus the unmandated baseline).
    Independence
    Pre-NEISS-era public-health intervention evaluation from the NYC DOHMH and Bronx Lebanon Hospital Center; independent of the modern NEISS and AAP synthesis sources above. The 50-year track record of the NYC window-guard mandate is the strongest natural-experiment evidence for the effectiveness of operable window guards in this dataset.
  4. [4] Injury Prevention (BMJ) — Vish NL, Powell EC, Wiltsek D, Sheehan KM — Pediatric window falls: not just a problem for children in high rises
    Pediatric window falls: not just a problem for children in high rises
    Statistic
    90 Chicago pediatric trauma-center cases 1995-2002; median age 2 years; 98% of falls were from third floor or lower; three deaths; head trauma and extremity fractures most common
    Excerpt
    “"The authors reviewed 90 cases; 55 were male. The median age was 2 years. [...] Ninety eight percent of falls were reported to be from the third floor or lower. [...] The most common injuries were head trauma and extremity fractures." ”
    Source data from
    2005-10-01
    Accessed
    2026-05-24 · archived copy
    Calculation
    Used to justify the building_type personal-factor multiplier and to anchor the "modest-height fall" framing in the prose: the prevailing mental image of a window fall as a high-rise event is wrong in the US epidemiology. 98% of Chicago cases were from the third floor or lower, with a 2-year median age that mirrors the under-5 concentration in Harris 2011. Three deaths in 90 trauma-center cases gives a single-center case fatality of ~3.3% conditional on reaching a pediatric trauma center, which is roughly consistent with the order-of-magnitude gap between the ED-visit headline and the cumulative fatal estimate in the assumptions field.
    Independence
    Single-center Chicago trauma-registry sample; corroborates the Harris NEISS-based national age distribution at the case-mix level and adds the building-height distribution that NEISS does not capture.

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