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Likelier
Kids · reviewed 2026-04-11

What are the odds of serious injury when an infant falls from furniture (sofa, bed, changing table)?

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
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 100

1.0% lifetime chance

Most people overestimate this.

range 1 in 200 to 1 in 50

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 33 1 in 250

● your factors — click this risk ▾ to reveal

≈ As likely as

A single pale rounded sofa cushion with a soft thin blanket folded over one edge, viewed from a low angle against a muted grey-blue background, flat vector illustration.

Perceived

Infant furniture falls do not show up on any published fear survey, but they are the archetypal "parenting panic" event of the first two years. The mental image most new parents carry is a soft sofa, a turned back, a thud, and a silent second or two that plays back in memory for weeks afterwards. The fear attaches specifically to the moment of the fall rather than to the medical outcome, which is part of why the felt probability of something serious happening runs well ahead of the surveillance data. Parenting forums and pediatrician visits reliably surface this as one of the top reasons new parents call a nurse line in the first year.

Rough estimate: Most first-time parents describe a furniture fall as one of the top one or two events they fear on a given day

Source: editorial intuition, not polled

Actual

~9% of ED-presenting infant bed falls sustain a significant injury (Kokulu 2021)

infants <1 year presenting to emergency departments after a fall from bed or similar furniture

Show derivation

Likelier normally reports lifetime-US-adult probabilities, but this entry is scoped to the first two years of life for a single US infant. The headline is the per-infant probability of a "serious" fall injury — defined here as any fall from household furniture resulting in an ED visit with imaging, a clinically significant diagnosis (concussion, skull fracture, intracranial bleed), or hospital admission. The denominator-side anchor is Solaiman et al. (2023), who estimated 3,414,007 ED visits for bed- and sofa-related injuries among US children under 5 between 2007 and 2021, with infants (<1 year) hospitalized 1.58 times more often than older children and about 4% of all such visits ending in admission. The severity-side anchor is Kokulu et al. (2021), who followed 1,439 consecutive infant bed-fall presentations and found 9.4% with a "significant injury" (skull fracture 4.1%, intracranial hemorrhage or cerebral contusion 2.1%, the remainder other fractures or concussive findings). Most infants who fall never present to an ED, so the per-fall serious-injury rate in the general population is meaningfully lower than 9%. Combining Solaiman's denominator (~115 bed/sofa ED visits per 10,000 US under-5s annually, heavily concentrated in the infant year), the 4% hospitalization rate, and rough survey estimates that roughly half of parents report at least one infant furniture fall, the per-infant cumulative probability of a fall-related ED visit with a clinically significant injury sits around 1 in 100 across the 0-2 window. Death is a separate question: unintentional fall deaths in US infants run around 1-2 per 100,000 infant-years, or roughly 1 in 50,000 across the 0-2 window — two to three orders of magnitude below the serious-injury rate.

Caveats: The headline number is per-infant cumulative across the first two years, not a p…

The headline number is per-infant cumulative across the first two years, not a per-fall or per-ED-visit rate. Most infant furniture falls never result in a clinician visit at all; roughly 1.15% of US under-5s visit an ED for a bed or sofa injury in any given year (Solaiman 2023); inside that already-selected pool, about 9% carry a clinically significant injury (Kokulu 2021); and inside that pool, "severe" injuries run around 5% in trauma-registry data (Chaudhary 2018). The multiplication gives the ~1 in 100 cumulative probability of a serious fall-related injury per US infant across the 0-2 window, with death a separate and far rarer question (roughly 1 in 50,000 per infant). The data tracks bed/sofa/chair/changing-table falls specifically and excludes stair falls, window falls, baby-walker falls, and baby-carrier falls, each of which has its own mortality and severity profile. The entry also excludes abuse presenting as claimed accidental fall, which is a known confounder in the clinical literature and part of why ED clinicians take infant head injuries seriously even when the reported mechanism sounds benign. Red flags that ED guidance treats as reasons to seek immediate evaluation — persistent vomiting, unusual sleepiness, pupil asymmetry, seizure activity — are not reproduced here because Likelier publishes numbers, not clinical advice.

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
Any fall from furniture, typical infant 0-2 1 in 2.0 Survey estimates consistently put the share of parents who report at least one infant furniture fall around half. No single authoritative denominator exists because the vast majority of events never reach a clinician.
Serious injury (ED visit, imaging) from infant fall 1 in 100 Derived from Solaiman 2023's 115 per 10,000 annual under-5 ED rate for bed/sofa injuries, concentrated in the infant year and compounded across the 0-2 window, times the ~4% serious-enough-to-hospitalize fraction.
Skull fracture or intracranial bleed 1 in 1,000 Roughly one-tenth of the ED-visit rate. Kokulu 2021 reports 4.1% skull fracture and 2.1% intracranial hemorrhage among ED-presenting infant bed falls — but ED-presenting falls are already a selected subset, so the per-infant-population rate is an order of magnitude lower.
Death from household fall, infant 1 in 50,000 CDC WISQARS infant unintentional fall death rates run around 1-2 per 100,000 infant-years; compounded across the 0-2 window, roughly 1 in 50,000 per US infant.

Risks at similar odds

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

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Toddler stair fall

What are the odds of a toddler suffering serious injury from falling down stairs?

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Co-sleeping death

What are the odds of an infant dying from co-sleeping or bed-sharing?

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Child fall head injury

What are the odds of a child suffering a serious head or eye injury from a fall?

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Maternal age & birth defects

What are the odds of a baby having a chromosomal disorder based on parental age?

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Child death (<18)

What are the odds of a child dying before age 18 in the US?

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Play swing & slide injury

What are the odds of a child being injured by common play activities like arm-swinging or going down a slide together?

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Childbirth death (SSA)

What are the odds of dying in childbirth in Sub-Saharan Africa?

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Maternal mortality

What are the odds of dying from pregnancy-related causes?

Compare to:

Roughly half of US parents report at least one infant fall from furniture by the second birthday, and the overwhelming majority of those falls end with a bump, a cry, and nothing else. Among the selected subset of infant bed falls that do reach an emergency department, Kokulu and colleagues reported in Injury (2021) that 9.4% carried a clinically significant injury — 4.1% skull fracture, 2.1% traumatic brain injury, the rest mostly isolated extremity fractures. Scaling that severity distribution against Solaiman and colleagues’ American Journal of Emergency Medicine (2023) estimate of 3.4 million US bed- and sofa-related ED visits among children under five across 2007-2021 — about 115 per 10,000 under-5s annually, weighted heavily toward the infant year and rising — the per-infant cumulative probability of a serious fall-related injury between birth and the second birthday sits around 1 in 100. Death is a separate and far rarer question: US infant unintentional fall deaths run around 1-2 per 100,000 infant-years, on the order of 1 in 50,000 per infant across the 0-2 window, two to three orders of magnitude below the serious-injury rate and an order of magnitude below SIDS.

This is one of the sharpest examples on Likelier of a fear driven by the availability of the event rather than the distribution of its outcomes. The moment of the fall is vivid, the thud is loud, the silence afterwards is long, and the memory plays back for weeks. The actual medical distribution is dominated by the mild end: Chaudhary and colleagues’ Injury Epidemiology (2018) analysis of a Georgia pediatric trauma registry — already a selected, high-severity population — found 63.3% of cases with mild ISS scores, 31.7% moderate, and only 5.1% severe. Inside the much larger pool of falls that never reach a trauma center, the mild fraction is higher still. The fear is pegged to the worst-case event the parent can imagine during the two-second silence; the data is pegged to what actually happens in the following two hours, which is almost always nothing.

The number does not flatten evenly across the first two years. Kokulu’s cohort had a median age of seven months (IQR 6-9), squarely inside the window where rolling opens the risk of unsupervised edge-of-surface events and self-righting reflexes are not yet protective. Height matters: falls from changing tables and counters are over-represented in the skull-fracture subsets of both the Chaudhary and Kokulu cohorts, and Haarbauer-Krupa and colleagues’ CDC analysis of US fall-related pediatric traumatic brain injury found surfaces and furniture ranked highly among implicated product categories. Hard landing surfaces — tile, hardwood, linoleum — carry higher severity than carpet or rug. The ED clinical picture that warrants immediate attention is well established (persistent vomiting, unusual sleepiness, pupil asymmetry, seizure activity) and is outside what a calibration page covers; this page covers only the base rate, which is that the archetypal panic event is, on the outcome data, mostly a panic event.

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] Injury (Elsevier) — Kokulu K, Algın A, Özdemir S, Akça HŞ — Characteristics of injuries among infants who fall from bed
    Characteristics of injuries among infants who fall from bed
    Statistic
    Among 1,439 infants <1 year presenting to ED after a fall from bed, 135 (9.4%) had a significant injury; 59 (4.1%) skull fracture; 30 (2.1%) traumatic brain injury (intracranial hemorrhage / cerebral contusion); median age 7 months
    Excerpt
    “"There were significant injuries for 135 (9.4%) infants. The most common fracture was skull fracture (n = 59, 4.1%), followed by proximal fracture of the upper extremities (n = 26, 1.8%). Traumatic brain injury featured for 30 (2.1%) infants." ”
    Source data from
    2021-02-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Kokulu et al. supply the severity-side anchor: among ED-presenting infant bed falls, 9.4% carry a clinically significant injury. The 4.1% skull-fracture rate and the 2.1% intracranial-hemorrhage rate populate the regional_breakdown row for "Skull fracture or intracranial bleed" after roughly halving to reflect that general-population infant falls are lower-severity than the ED-presenting subset captured here. The median age of 7 months is consistent with the "6-12 month" peak-risk window cited in personal_factor_multipliers.
    Independence
    Single-center Turkish trauma-registry sample; generalizes to US infants at the pattern level (mechanism, age distribution, injury types) but not necessarily at the absolute-rate level, which is why Solaiman et al. below is used as the US-denominator anchor.
  2. [2] American Journal of Emergency Medicine — Solaiman RH, Navarro SM, Irfanullah E, Zhang J, Tompkins M, Harmon J Jr — Sofa and bed-related pediatric trauma injuries treated in United States emergency departments
    Sofa and bed-related pediatric trauma injuries treated in United States emergency departments
    Statistic
    3,414,007 ED visits for bed/sofa-related injuries among US children <5 (2007-2021); 115.2 per 10,000 annually; ~4% hospitalized; infants <1 year 1.58× more likely to be hospitalized than older children; 67% rise in under-1 incidence 2007-2021
    Excerpt
    “"An estimated 3,414,007 children aged <5 years were treated for bed and sofa-related injuries in emergency departments (EDs) in the United States from 2007 through 2021, averaging 115.2 injuries per 10,000 persons annually." ”
    Source data from
    2023-06-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Solaiman et al. provide the US-denominator anchor. 115.2 per 10,000 under-5s per year ≈ 1.15% of children under 5 visit an ED for a bed/sofa injury in any given year; compounded across the five-year window and weighted toward the infant year (where the rate is highest and rising), roughly 1 in 25 US infants generates an ED visit for a bed/sofa injury during the 0-2 period. Multiplying by the 4% hospitalization rate (higher still for under-1s at the 1.58× odds ratio) gives the ~1 in 100 cumulative probability of a serious fall injury used as the headline normalized figure.
    Independence
    Built on CPSC's National Electronic Injury Surveillance System (NEISS), the same surveillance pipeline that underlies the Chaudhary et al. trauma-registry analysis below; treat as partially dependent corroboration rather than two fully independent estimates.
  3. [3] Injury Epidemiology (Springer) — Chaudhary S, Figueroa J, Shaikh S, Mays EW, Bayakly R, Javed M, Smith ML, Moran TP, Rupp J, Nieb S — Pediatric falls ages 0-4: understanding demographics, mechanisms, and injury severities
    Pediatric falls ages 0-4: understanding demographics, mechanisms, and injury severities
    Statistic
    1,086 trauma-registry cases ages 0-4; 63.3% mild, 31.7% moderate, 5.1% severe by ISS; 177 bed falls (49.7% <1 year), 58 couch falls, 54 chair falls, 7 changing table falls; skull fracture and intracranial hemorrhage rates highest in under-1s
    Excerpt
    “"63.3% (n = 687) of patients had a mild ISS, 31.7% (n = 344) had moderate ISS, and 5.1% (n = 55) had severe ISS." ”
    Source data from
    2018-04-09
    Accessed
    2026-04-11 · archived copy
    Calculation
    Chaudhary et al. analyze the high-severity subset — children serious enough to land in a Level 1 pediatric trauma registry rather than a general ED. Even inside that already-selected pool, only about 5% carry a "severe" Injury Severity Score, and the overwhelming majority of bed, couch, chair, and changing-table falls are mild. This is the core empirical basis for the debunked myth framing: the severity distribution of infant furniture falls, even conditional on reaching a trauma center, is dominated by the mild end.
    Independence
    Georgia trauma-system data; overlaps methodologically with NEISS-based studies at the surveillance layer. Used as a severity-distribution cross-check rather than as an independent incidence estimate.
  4. [4] Journal of Safety Research — Haarbauer-Krupa J, Haileyesus T, Gilchrist J, Mack KA, Law CS, Joseph A — Fall-related traumatic brain injury in children ages 0-4 years
    Fall-related traumatic brain injury in children ages 0-4 years

    See all 2 Likelier entries citing this source →

    Statistic
    ~139,000 US children ages 0-4 treated in EDs annually for fall-related TBI; 83.5% at home; furniture (especially beds) ranked second among implicated product categories for ages 1-4
    Excerpt
    “"The majority of the fall-related TBI in this cohort occurred at home, related to surfaces, structures and fixtures, furniture, and baby products." ”
    Source data from
    2019-12-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Haarbauer-Krupa et al. (CDC Injury Center) anchor the traumatic-brain-injury slice specifically. ~139,000 annual ED visits for fall-related TBI in US under-5s, against a population of ~18-19 million, is roughly 7 per 1,000 children annually. Compounded across the 0-2 window and weighted toward the infant year (where TBI risk and the most-mobile developmental stage converge), this is consistent with the 0.1% skull-fracture/intracranial-bleed row in regional_breakdown.
    Independence
    CDC analysis of NEISS-AIP data; shares the NEISS pipeline with Solaiman et al. above. Treated as a TBI-specific cut of the same underlying surveillance dataset rather than an independent estimate.

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