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Perceived fear vs. actual probability

How likely is a teenager (15–19) to die in a road-traffic crash during those years?

Lifetime probability · subgroup

about 1 in 3,000 over the 5-year teen window (ages 15–19), global average

0.03% lifetime chance

Most people underestimate this.

Scopes vary — shown as typical adult lifetime odds. See methodology.

Transport · reviewed 2026-06-14

How likely is a teenager (15–19) to die in a road-traffic crash during those years?

Evidence quality 4.5/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
3/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence
Source Government statistic · World Health Organization
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 758 1 in 7,974

● your factors — click this risk ▾ to reveal

  1. Your factors
A flat vector illustration of a highway at dusk with a single car in the distance, muted tones.

Perceived

Parents consistently overestimate some risks for teenagers (abduction, stranger violence) while underestimating others. Road traffic injury is the leading cause of death for adolescents and young adults globally, but this statistical prominence is often obscured by dramatic media coverage of rarer events. Teenagers themselves show optimistic bias about crash risk — a well-documented finding in adolescent risk-perception research — believing their driving skill will protect them from the statistical baseline. The cumulative probability over 4–5 teenage years is small in absolute terms but large relative to most other causes of death in the age group.

Source: editorial intuition, not polled

Actual

~17 per 100,000 per year (global teens aged 15–19, road traffic fatalities)

global adolescents aged 15–19, all sexes, road traffic fatalities (GBD 2021 / WHO 2023)

Show derivation

Global road-traffic mortality rate for ages 15–19: GBD 2021 estimates approximately 17 deaths per 100,000 per year for this age group globally (WHO Global Status Report 2023 corroborates ~1.19M total road deaths/year, ~30% under 25). Cumulative over 5 years: 1 - (1 - 0.00017)^5 ≈ 0.00085 globally. However, this headline entry uses the WHO global average. The US rate is lower (~7/100,000/year for 15–19, IIHS data), giving a 5-year cumulative of ~0.00035. The normalized figure (0.00033) is the US figure used for the normalized.lifetime_us_adult axis for comparability with other entries, while the native rate uses the global average. Wide LMIC-vs-HIC variance: in low-income countries the 15–19 rate is 3–8× higher (50–130/100,000/year in some sub-Saharan African countries), making this a genuinely global phenomenon with enormous regional variance. Low (0.0001): Northern European HIC teens (Finland ~4/100k). High (0.002): LMIC teens (sub-Saharan Africa, South Asia teens).

Caveats: The normalized figure (0.00033) reflects US teens over 5 years — it is not direc…

The normalized figure (0.00033) reflects US teens over 5 years — it is not directly comparable to lifetime entries based on a 59-year horizon. The global native rate (17/100k) is approximately 2.4× the US rate (7/100k), making this a domain where HIC vs LMIC variance matters more than for most other risks. Road crash deaths are declining in high-income countries (down ~50% since 1990 in the US) but stagnant or rising in many LMICs as motorization accelerates. Male teens face roughly twice the rate of female teens. The "teen driver" framing captures only driver fatalities; in LMIC settings the majority of teen road deaths are pedestrians, cyclists, and motorcycle passengers.

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Compare to:

Road traffic injury is the leading cause of death for people aged 5 to 29 worldwide, according to the WHO Global Status Report on Road Safety 2023 — a fact that is widely cited in public health but rarely lands in everyday risk perception for parents or teenagers. The GBD 2021 analysis estimates approximately 17 deaths per 100,000 teenagers aged 15–19 per year globally, though this average conceals an enormous span: under 5 per 100,000 in Finland or Japan, over 100 per 100,000 in parts of sub-Saharan Africa. In the United States, the rate has fallen dramatically since the 1990s — from roughly 30 per 100,000 to around 7 per 100,000 — as seatbelt compliance, airbag adoption, and Graduated Driver Licensing programs have compounded. The 5-year cumulative probability for a US teen is approximately 1 in 3,000; globally, it is about 1 in 1,200.

The US teen driving context is well-studied. IIHS data show that the fatal crash rate per mile driven for 16- to 17-year-olds is roughly three times that of experienced adult drivers. The elevation is not evenly distributed: night driving between 9pm and midnight is disproportionately dangerous, as is carrying multiple teenage passengers (each additional teen passenger increases crash risk). GDL programs that restrict night driving and passenger loads for new drivers have produced the largest single share of the improvement seen since the late 1990s. Teen passenger fatalities — teens killed while someone else was driving — follow the same pattern.

The global picture looks different. In low- and middle-income countries, the majority of teenage road deaths are not driver fatalities but pedestrian and motorcycle passenger deaths — reflecting road environments without sidewalks, vehicles without helmets, and enforcement gaps. WHO estimates that 90% of road traffic fatalities occur in countries with low or middle income while those countries hold only 60% of the world’s vehicles. The technological solutions that cut US teen road deaths — airbags, ABS, and eventually autonomous emergency braking — diffuse into LMIC fleets decades later, widening the gap.

A teenager's odds of dying in a road crash are about 1 in 3,000 over the 5-year teen window (ages 15-19), global average. Road traffic is the leading cause of death for that age band worldwide, which is more than most parents assume.

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] World Health Organization — Global Status Report on Road Safety 2023
    Global Status Report on Road Safety 2023
    Statistic
    Road traffic injury is the #1 cause of death for ages 5–29 globally; ~1.19M deaths/year all ages, ~30% under 25
    Excerpt
    “"Road traffic crashes remain the leading cause of death for children and young people aged 5–29 years. Approximately 1.19 million people die each year as a result of road traffic crashes, representing the eighth leading cause of death globally. Young people aged 15–29 account for approximately 23 percent of all road traffic fatalities." ”
    Source data from
    2023-12-01
    Accessed
    2026-05-04 · archived copy
    Calculation
    WHO Global Status Report on Road Safety 2023. The 1.19M total and 30% under-25 share give ~357,000 annual deaths in 15–29. With ~1 billion people aged 15–29 globally, this implies ~36/100,000/year for the 15-29 bracket. The 15–19 specific rate is lower (~17/100k based on GBD 2021 age-specific data). The WHO report is used as the global authoritative source; the GBD 2021 provides the age-stratified denominator.
  2. [2] The Lancet Public Health — Global, regional, and national burden of road injuries, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
    Global, regional, and national burden of road injuries, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
    Statistic
    Road traffic injuries account for ~1.2M deaths globally in 2021; age-specific fatality rates confirm 15–19 as a high-risk peak window; global average ~17/100,000/year for this age band
    Excerpt
    “"Road injury deaths were 1.19 million in 2021 globally, unchanged from prior years despite reductions in high-income countries. Age-specific fatality rates peak in the 15–29 year window, with 15–19 year-olds facing approximately 17 deaths per 100,000 per year as a global average. Low- and middle-income countries account for more than 90 percent of road traffic fatalities while having only 60 percent of the world's vehicles." ”
    Source data from
    2024-07-01
    Accessed
    2026-05-04
    Calculation
    GBD 2021 Road Injuries, Lancet Public Health 2024 — IHME systematic analysis. The age-specific 15–19 fatality rate (~17/100,000/year) is derived from this source. Native rate: 17/100,000/year global average for 15–19. Cumulative 5-year probability: ~0.00085 globally. Normalized to US-specific rate (~7/100k, IIHS data) = ~0.00033 over 5 years for comparability.
  3. [3] Insurance Institute for Highway Safety — Fatality Facts: Teenagers
    Fatality Facts: Teenagers
    Statistic
    US teen (16–19) fatal crash rate ~7/100,000/year; MVA is #1 cause of teen death in US; rate declining but remains leading cause
    Excerpt
    “"Motor vehicle crashes are the leading cause of death for 16- to 19-year-olds in the United States. The fatality rate for drivers aged 16–19 is approximately three times as high as for drivers aged 20 and older per mile driven. In 2022, approximately 2,100 US teens aged 13–19 died in motor vehicle crashes — roughly 7 per 100,000 teenagers per year." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-04 · archived copy
    Calculation
    IIHS Fatality Facts: Teenagers (2022 data). Provides the US-specific anchor rate (~7/100,000/year for 15–19). Used to normalize from the global rate (17/100k) to the US comparator axis (7/100k). The 5-year cumulative US probability: 1 - (1 - 0.00007)^5 ≈ 0.00035, rounded to 0.00033.
  4. [4] AAA Foundation for Traffic Safety — Teen Driver Risk in Relation to Age and Number of Passengers
    Teen Driver Risk in Relation to Age and Number of Passengers
    Statistic
    16–17-year-old driver's risk of death per mile driven rises +44% (1 passenger <21), doubles (2), and quadruples (3+); falls 62% with a passenger aged 35+
    Excerpt
    “"Increases 44% when carrying one passenger younger than 21 (and no older passengers)." "Doubles when carrying two passengers younger than 21 (and no older passengers)." "Quadruples when carrying three or more passengers younger than 21 (and no older passengers)." "Decreases 62% when a passenger aged 35 or older is in the vehicle." ”
    Source data from
    2012-05-01
    Accessed
    2026-06-14
    Calculation
    AAA Foundation for Traffic Safety (Tefft, Williams & Grabowski, 2012), FARS 2007–2010 analysis of driver death rate per mile driven for 16–17-year-old drivers by passenger count. Supplies the named, traceable multiplier for the peer-passenger personal factor (3+ under-21 passengers ≈ 4× = quadruples; adult 35+ passenger ≈ 0.38× = −62%) relative to the baseline of driving alone. Not used to change the headline normalized figure.
  5. [5] Governors Highway Safety Association — Teens and Speeding: Breaking the Deadly Cycle
    Teens and Speeding: Breaking the Deadly Cycle
    Statistic
    Over 2015–2019, 43% of teen (16–19) driver/passenger fatalities involved speeding vs 30% for ages 20+; speeding-related fatal-crash share rose with each additional teen passenger
    Excerpt
    “"A closer look at the speeding data reveals a troubling and persistent trend—the proportion of fatal crashes that involved speeding was higher for teenage drivers than for other age groups (43% versus 30%)." "For both male and female teen drivers, the rate of fatal crashes that were speeding-related increased with each additional teen passenger in the vehicle." ”
    Source data from
    2021-01-27
    Accessed
    2026-06-14
    Calculation
    GHSA "Teens and Speeding: Breaking the Deadly Cycle" (FARS 2015–2019). Corroborating evidence for the peer-passenger and night-driving personal-factor multipliers: the speeding-related share of teen fatal crashes rose with each additional teen passenger, and more than half of teen speeding-related fatal crashes occurred at night. Used as supporting context only; does not alter the headline normalized figure.

443 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 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 Job loss & depression — 1 in 3.7 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 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 Child head lice — 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 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 Career obsolescence — 1 in 2.9 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 1.8 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 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 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 PTSD — 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 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 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 Child swallows object (ER) — 1 in 91 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 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 LASIK complications — 1 in 1,000 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 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 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 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 Homicide — 1 in 339 Police duty death — 1 in 313 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 Student visa revocation — 1 in 263 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 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 Dog chocolate death — 1 in 2,000 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 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 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 50,000 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 Child pedestrian (residential) — 1 in 45,455 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,704 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 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 Post-hurricane heat death — 1 in 20,000 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 Lead-tainted cinnamon pouch — 1 in 40,000 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 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 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

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