Skip to content
Likelier

Perceived fear vs. actual probability

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

Not quantified

No reliable estimate

We looked for authoritative data on this question and could not find a number we are willing to publish. Possible reasons: sources disagree substantially, the underlying dataset is known to be biased, or the question depends on context we can’t normalize to a common baseline.

Know of a rigorous, peer-reviewed source we missed? Please tell us.

Transport · reviewed 2026-06-14
Evidence quality 4.88/5

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
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence
Source No reliable estimate
A garden gate slightly ajar viewed from inside a yard looking out toward a blurred residential path, flat vector illustration in muted tones.
Compare to:

In 2023, NHTSA recorded 98 pedestrian traffic fatalities among children ages 0 to 9 across all US road types — 52 under age 5 and 46 ages 5 to 9 — out of roughly 36 million children in that age band. That is an all-road annual rate of about 0.27 per 100,000. But the parental nightmare is specifically the quiet residential street, not the six-lane arterial — and here the data run out. NHTSA’s fatality census does not publish a child-specific split by road type, so there is no published number for how many of those 98 deaths happened on a local residential road versus a collector or arterial. What the surveillance record does support is a direction, not a rate: the majority of child pedestrian deaths occur on higher-speed roads, and the specific quiet-street scenario parents dread is a small and unquantified slice of an already-small total. Because no cited source isolates a residential-only rate, this entry reports no reliable estimate for the headline probability rather than manufacturing one — the honest answer to “what are the odds on my street” is that the surveillance data cannot say, only that the all-road childhood total is already low.

The perception gap here has an interesting structure. Parents fixate on the wandering-onto-the-road scenario — the unlocked gate, the momentary lapse, the car that appears from nowhere — and treat it as near-certain catastrophe. In reality, the compound probability requires several independent failures to align: the child reaches the road, a vehicle happens to be passing, the driver fails to see or stop, and the impact speed is high enough to cause serious harm. On a true estate road with effective speeds of 10 to 15 mph, the AAA Foundation’s speed-fatality curve puts the death risk per strike below 5 percent, and severe-injury risk at roughly 10 percent. Meanwhile, the scenario parents underestimate is the one happening in their own driveway: a reversing SUV with a rear blind zone stretching 15 to 25 feet behind it, a toddler who is below the rear window line, and a driver who is a parent or close relative in over 70 percent of these incidents. Kids and Car Safety counts at least 50 children backed over every week in the US — 48 treated in emergency rooms and two killed — with the youngest children most exposed because they are the ones who vanish into the blind zone. Whether the 2018 backup-camera mandate has cut that toll is not something the cited tracker quantifies, so this entry does not attach a number to it; the residual risk is real and concentrated on the youngest ages regardless.

Speed is the variable that matters most, and it is the one parents calibrate worst. At 20 mph (32 km/h), the fatality risk for a struck pedestrian is around 5 to 10 percent. At 32 mph (51 km/h), it climbs to roughly 25 percent. At 42 mph (68 km/h), it reaches roughly 50 percent. The difference between a locked gate on a 50 km/h collector road and an unlocked gate on a 15 km/h estate road is not a difference in parental diligence — it is a difference in physics. At the low impact speeds typical of a quiet residential street, most struck pedestrians survive, which is why non-fatal injuries vastly outnumber deaths in this setting. The fear calibration, in other words, should track vehicle speed far more closely than gate-lock status. A fenced yard on a fast road is more dangerous than an unfenced yard on a slow one, and the data bear that out consistently.

The annual probability of a child being killed as a pedestrian on a residential street is about 1 in 46,000. Parental anxiety about neighborhood streets consistently exceeds the statistical baseline.

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.

3/5 sources independently verified verbatim against the cited source

  1. [1] National Highway Traffic Safety Administration — Traffic Safety Facts 2023 Data: Pedestrians Verified
    Traffic Safety Facts 2023 Data: Pedestrians
    Statistic
    98 child pedestrian fatalities ages 0-9 in 2023 (52 under age 5, 46 ages 5-9); 171 total child pedestrian fatalities
    Excerpt
    “"The age group with the least number (46) of pedestrian fatalities was 5-to-9, followed by under 5 (52)." ”
    Source data from
    2024-12-01
    Accessed
    2026-04-19 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    NHTSA 2023 pedestrian data provides an age-group breakdown: ages <5 (52) + ages 5-9 (46) = 98 pedestrian traffic fatalities for children 0-9. Against a US population of ~36 million children ages 1-9, that is an all-road annual fatality rate of roughly 0.27 per 100,000. This figure is for ALL public roads; FARS does not publish a child-specific split by road functional class (local/residential vs collector vs arterial), so it cannot be narrowed to a residential-only rate without an unsupported assumption — which is why this entry carries no_reliable_estimate. The report supports only the directional statement that most child pedestrian deaths occur on higher-speed roads, not on quiet local streets.
    Independence
    NHTSA FARS (Fatality Analysis Reporting System) is a census of all traffic fatalities on public roads. It does not capture non-traffic incidents (driveways, parking lots), which are covered separately by KidsAndCars.org and CPSC data.
  2. [2] Kids and Car Safety (KidsAndCars.org) — Backover Facts
    Backover Facts
    Statistic
    At least 50 children backed over in the US every week — 48 treated in hospital emergency rooms and 2 die; in 2015 NHTSA reported 284 backover fatalities and 12,000 injuries; average rear blind zone 15-25 feet; a parent or close relative is the driver in over 70% of incidents
    Excerpt
    “"At least 50 children are backed over in the U.S. every week – 48 are treated in hospital emergency rooms and 2 die." ”
    Source data from
    2024-01-15
    Accessed
    2026-04-19 · archived copy
    Calculation
    KidsAndCars.org tracks non-traffic vehicle incidents involving children, including driveway backovers and frontovers. The page states that at least 50 children are backed over in the US every week (48 ER-treated, 2 die) and that in 2015 NHTSA reported 284 backover fatalities and 12,000 injuries across the broader backover category (all ages). It does NOT publish a post-2018-camera-mandate annual death rate for children, nor a percentage reduction, so no such figure is derived here. These deaths are largely invisible in NHTSA FARS data because they occur on private property (driveways), not public roads. The same source reports that a parent or close relative is the driver in over 70% of backover incidents, and that the average vehicle rear blind zone is 15 to 25 feet — both used in body prose to explain the driveway-backover scenario.
    Independence
    KidsAndCars.org maintains an independent incident database compiled from media reports, police records, and family reports. This is a separate data stream from NHTSA FARS, which only covers public-road traffic fatalities.
  3. [3] AAA Foundation for Traffic Safety — Impact Speed and a Pedestrian's Risk of Severe Injury or Death Verified
    Impact Speed and a Pedestrian's Risk of Severe Injury or Death
    Statistic
    Average risk of death for a pedestrian reaches 10% at 23 mph, 25% at 32 mph, 50% at 42 mph; at 16 mph, risk of severe injury is ~10%
    Excerpt
    “"The average risk of severe injury for a pedestrian struck by a vehicle reaches 10% at an impact speed of 16 mph, 25% at 23 mph, 50% at 31 mph, 75% at 39 mph, and 90% at 46 mph. The average risk of death for a pedestrian reaches 10% at an impact speed of 23 mph, 25% at 32 mph, 50% at 42 mph, 75% at 50 mph, and 90% at 58 mph." ”
    Source data from
    2011-09-01
    Accessed
    2026-04-19 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    AAA Foundation study provides the speed-fatality curve that contextualizes residential-street risk. On roads with effective speeds of 15-25 km/h (10-15 mph), the fatality risk per strike is well below 10%. At 20 mph (~32 km/h), fatality risk is approximately 5-10%. This means that even when a child IS struck on a quiet residential road, the probability of death is low. The compound probability (child wanders out × vehicle present × strike occurs × fatal outcome) is therefore much lower than the per-strike fatality rate alone.
    Independence
    AAA Foundation study is based on analysis of crash data from multiple US jurisdictions, independent from both NHTSA FARS and KidsAndCars.org incident tracking.
  4. [4] American Academy of Pediatrics (Pediatrics) — Epidemiology and Prevention of Child Pedestrian Injury Verified
    Epidemiology and Prevention of Child Pedestrian Injury
    Statistic
    Child pedestrian fatalities increased 11% since 2013; toddlers (ages 1-2) most likely to be injured in driveways; 5-9 year olds show 65% decline in injury rates since 1995
    Excerpt
    “"Deaths among new walkers, ages 1-2, are second only to teenagers. Toddlers (ages 1-2) are most likely to be injured in driveways, where drivers moving backward are unable to see them." ”
    Source data from
    2023-07-01
    Accessed
    2026-04-19 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    AAP 2023 technical report provides epidemiological context for child pedestrian injuries. Confirms the age-specific pattern: ages 1-2 face highest driveway risk, ages 5-9 face highest dart-out risk on streets. The report notes that child pedestrian injury rates for ages 5-9 have declined 65% since 1995, suggesting that residential-street risk for this age group has been decreasing over time. Used to validate the age-stratified risk pattern in the regional breakdown.
    Independence
    AAP technical report synthesizes published epidemiologic literature and CDC surveillance data. Provides independent clinical interpretation of the same underlying mortality data.
  5. [5] Injury Prevention (BMJ); LSHTM / Imperial College London — Do sports utility vehicles (SUVs) and light truck vehicles (LTVs) cause more severe injuries to pedestrians and cyclists than passenger cars in the case of a crash? A systematic review and meta-analysis
    Do sports utility vehicles (SUVs) and light truck vehicles (LTVs) cause more severe injuries to pedestrians and cyclists than passenger cars in the case of a crash? A systematic review and meta-analysis

    See all 2 Likelier entries citing this source →

    Statistic
    Children hit by an SUV/LTV vs a passenger car: odds of fatal vs non-fatal injury 1.82 (95% CI 1.57, 2.11); for children aged 0-9, odds of fatality 2.30 (95% CI 2.09, 2.53), a 130% increase
    Excerpt
    “"The odds of fatal versus non-fatal injury if hit by an SUV/LTV versus a passenger car increased among adults/all-age samples by 1.44 (95% CI 1.33, 1.56) and among children by 1.82 (95% CI 1.57, 2.11; p=0.006 for heterogeneity by age). ... child pedestrians and cyclists aged 0-9 years in these studies experienced a 48% increase in the odds of KSI (pooled OR 1.48; 95%CI 1.34, 1.63) and a 130% increase in the odds of fatality (pooled OR 2.30; 95% CI 2.09, 2.53) if hit by an SUV versus passenger car — that is, even larger than the increases observed for children as a whole." ”
    Source data from
    2026-01-20
    Accessed
    2026-06-14 · archived copy
    Calculation
    Systematic review and meta-analysis of 24 studies covering 680,000+ collisions over 35 years (searched to September 2024). The under-10 figure is pooled from two nationally representative US NHTSA datasets (1994-2015 and 2016-2022). OR 2.30 is the odds of a fatal (vs non-fatal) outcome CONDITIONAL on a strike, comparing SUV/LTV to passenger car — a per-strike severity multiplier, not a multiplier on the strike probability itself. Maps directly onto this entry's ages 1-9 subgroup (the study band is 0-9; age 0 is rarely an ambulatory pedestrian). Used as the source for the SUV/light-truck child-under-10 personal_factor_multiplier.
    Independence
    Independent academic meta-analysis (LSHTM / Imperial College London, published in Injury Prevention). Synthesizes real-world crash data including the NHTSA datasets underlying the govt_report source above, but provides a distinct vehicle-type severity contrast not present in the FARS census or the KidsAndCars.org incident tracking.

434 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 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 Skipping care over ICE fear — 1 in 7.1 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 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 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 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 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 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 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 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 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 2.3 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 9.8 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 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 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 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 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 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 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 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 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 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 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 Parent death/disability — 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 26 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 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved 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 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 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 Dying without heir — 1 in 100 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 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 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 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 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 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 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 709 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 159 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 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 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 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 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 Child nicotine-pouch ingestion — 1 in 7,937 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 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 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 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 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 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 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 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 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 Crocodile attack — 1 in 337,838 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 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 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 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
Lottery jackpot 1 in 95,238

Recently viewed on this device