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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), US teens

0.03% lifetime chance

Most people underestimate this.

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

Transport · reviewed 2026-06-14
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

~15 per 100,000 per year (global road-traffic death rate, all ages; no cited source gives a 15–19-specific global rate)

global road-traffic fatalities, all ages, 2021 (GBD 2021 / PMC11997400: 1.19M deaths ≈ 15/100,000). Used as the closest source-stated proxy for the adolescent rate; no cited source reports a 15–19-specific global rate.

Show derivation

No cited source reports a 15–19-specific global road-traffic fatality rate. The nearest source-stated figure is the overall global rate: GBD 2021 (PMC11997400) gives ~1.19M road-traffic deaths in 2021 ≈ 15 per 100,000 population (all ages; age-standardized 14.6/100,000). Applying that overall rate as a proxy for the adolescent rate, the global 5-year cumulative is 1 - (1 - 0.00015)^5 ≈ 0.00075, i.e. roughly 1 in 1,300. The normalized.lifetime_us_adult axis instead uses the US-specific rate (~7/100,000/year for the 16–19 driving-age band, IIHS data), giving a 5-year cumulative of ~0.00035, rounded to 0.00033 — this is the US comparability value, NOT the global average. Wide LMIC-vs-HIC variance: in low-income countries the 15–19 rate is several-fold 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. No cited source states a 15–19-specific global rate; the native (~15/100k) is the overall all-ages global road-death rate (GBD 2021) used as the closest source-stated proxy for adolescents, and is roughly 2× the US teen 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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Deer collision

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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 puts the overall global road-traffic death rate at about 15 per 100,000 population per year; no cited source isolates a 15–19-specific global rate, but the age group’s mortality sits near that overall level, and the average conceals an enormous span — under 5 per 100,000 in Finland, 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; at the overall global rate it is closer to 1 in 1,300.

The US teen driving context is well-studied. IIHS data show that the fatal crash rate per mile driven for 16- to 19-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 been a major contributor to 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.

3/5 sources independently verified verbatim against the cited source

  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 states ~1.19M road-traffic deaths/year (all ages) and that road injury is the leading cause of death for ages 5–29. It does NOT report a 15–19-specific per-100,000 rate, and neither does the cited GBD 2021 paper (PMC11997400) — that paper gives only the overall global rate (~15/100,000, all ages). The entry's native therefore uses that overall source-stated global rate as the closest available proxy for adolescents; no 15–19-specific global rate is asserted.
  2. [2] Preventive Medicine Reports — Global burden of road injuries and their attributable risk factors from 1990 to 2021: A systematic analysis for the Global Burden of Disease Study 2021 Verified
    Global burden of road injuries and their attributable risk factors from 1990 to 2021: A systematic analysis for the Global Burden of Disease Study 2021
    Statistic
    Road injuries caused ~1.19M deaths globally in 2021 (mortality rate ~15/100,000); the 20–24 age group had the highest road-injury incidence; road injuries are the leading cause of death for ages 5–29
    Excerpt
    “"In 2021, there were an estimated 1.19 million road traffic deaths globally, which corresponds to a mortality rate of 15 per 100,000 population." "The Global Status Report on Road Safety 2023 revealed that road injuries were the leading cause of death among children and youth aged 5–29 years in 2019." "The age group of 20–24 years exhibited the highest incidence of road injuries, with a rate of 935.8 per 100,000 population." ”
    Source data from
    2025-03-27
    Accessed
    2026-06-30 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Gu D, Ou S, Liu G. GBD 2021 systematic analysis of road injuries, Preventive Medicine Reports 2025;53 (PMID 40235577, PMC11997400). Corroborates the global totals used in this entry: ~1.19M road traffic deaths in 2021 at ~15/100,000 overall, with the peak road-injury burden in young adults (highest incidence at 20–24) and road injuries the leading cause of death for ages 5–29. This source does NOT report a 15–19-specific fatality rate; the closest source-stated figure is the overall global rate (~15/100,000, all ages), which the entry's native uses as a proxy for the adolescent rate. Normalized to the US-specific rate (~7/100k, IIHS data) = ~0.00033 over 5 years for comparability.
  3. [3] Insurance Institute for Highway Safety — Fatality Facts: Teenagers Verified
    Fatality Facts: Teenagers
    Statistic
    2,896 US teens (ages 13–19) died in motor vehicle crashes in 2022; MVA is the leading cause of death for US teens; fatal crash rate per mile for 16–19 is just over 3× that of drivers 20+
    Excerpt
    “"In 2024, motor vehicle crashes were the leading cause of death among 13-19-year-old males and females." "A total of 2,896 teenagers ages 13-19 died in motor vehicle crashes in 2022." "Using data from the National Household Travel Survey, the fatal crash rate per miles driven for 16-19 year-olds is just over 3 times the rate for drivers ages 20 and over." ”
    Source data from
    2024-01-01
    Accessed
    2026-06-30 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    IIHS Fatality Facts: Teenagers. 2,896 US teens aged 13–19 died in motor vehicle crashes in 2022; with ~29 million US residents aged 13–19 this is ~10/100,000/year across the wider 13–19 band, of which the 16–19 driving-age sub-band drives most deaths (~7/100,000/year, the US anchor used here). Used to set the US comparator axis (~7/100k) that the normalized figure is built on, distinct from the overall global native rate (~15/100k). 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 Verified
    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 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    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 · archived copy
    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.

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

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