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Crime · reviewed 2026-05-21

What are the odds of a child being abducted by a stranger?

Evidence quality 4.5/5

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

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 38,760

0.003% lifetime chance

Most people overestimate this.

range 1 in 67,568 to 1 in 23,923

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 22,800 1 in 64,599

● your factors — click this risk ▾ to reveal

≈ As likely as

A small child's hand reaching up toward an adult hand against a pale background, flat vector illustration.

Perceived

Stranger abduction is the fear parents most readily invoke in crowded vacation settings — theme parks, beaches, busy markets — where a child briefly out of sight conjures worst-case scenarios. Survey data consistently shows that parents rank stranger abduction as one of their top fears for their children's safety, a standing that has been stable since the milk-carton era of the 1980s. The fear is significantly amplified by media coverage: the rare cases that do occur receive sustained national attention, creating an availability bias that makes the event feel more common than the data supports. Most parents have no intuitive comparison point to calibrate the rate against other childhood risks.

Rough estimate: most parents guess 1 in 1,000 to 1 in 10,000 over a childhood

Source: editorial intuition, not polled

Actual

~105 stereotypical kidnappings per year, United States (children ages 0-17)

US children ages 0-17

Show derivation

OJJDP NISMART-3 (Wolak, Finkelhor & Sedlak, 2016) estimates approximately 105 stereotypical kidnappings of US children in 2011, defined as abductions by a stranger or slight acquaintance involving transportation 50+ miles, overnight detention, ransom, intent to keep permanently, or killing. Divided by 73.2 million US children ages 0-17 (Federal Interagency Forum on Child and Family Statistics, 2022) gives an annual rate of 1.43 per million children. Compounded over 18 years of childhood: 1 - (1 - 1.43/1,000,000)^18 ≈ 0.0000258, or roughly 1 in 39,000. This is a childhood lifetime probability (birth to age 18), not a US-adult lifetime figure; the risk is concentrated in the childhood years, heaviest in the 12-17 age band. No vacation-specific data exists; this is the national rate applied across all settings.

Caveats: The most recent national estimate of stereotypical kidnappings is from 2011 (NIS…

The most recent national estimate of stereotypical kidnappings is from 2011 (NISMART-3, published 2016). NISMART-4 redesigned the methodology (2022 technical report) but has not yet published updated annual counts. The 105 figure is the best available estimate but is based on data that is now 15 years old. No study has ever broken out stereotypical kidnappings by vacation or travel context. The entry uses the national annual rate and applies it to the vacation framing because the vacation scenario is where the fear most commonly arises — but the empirical evidence from NCMEC suggests that risk is not elevated at tourist destinations and may be lower there than near home. Most documented abductions occur within a few blocks of the child's residence on ordinary school days, not at theme parks or holiday venues. "Stereotypical kidnapping" is a specific technical definition. It excludes family abductions (which account for roughly 200,000 incidents per year), runaways, and children who wander and get briefly separated from parents in crowded settings. The last category — temporary separation — is the actual experience most parents encounter at busy vacation sites and is functionally unrelated to the stereotypical kidnapping rate. Temporary separations at large theme parks alone number in the thousands per year, and virtually all are resolved within minutes. The fear of kidnapping at a crowded venue maps to the wrong statistic.

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Compare to:

The OJJDP’s National Incidence Studies of Missing, Abducted, Runaway and Thrownaway Children has now measured the rate of stereotypical stranger kidnappings twice — approximately 115 in 1999 (NISMART-2) and approximately 105 in 2011 (NISMART-3). Both figures use a careful technical definition: abduction by a stranger or slight acquaintance involving transportation at least 50 miles, overnight detention, ransom, intent to keep the child permanently, or killing. Spread across 73 million US children ages 0-17, the annual rate is about 1.4 per million children, which compounds to a lifetime childhood probability of roughly 1 in 39,000. That figure is smaller than the lifetime probability of a US adult dying from a bee or wasp sting (about 1 in 7,900), and far smaller than the odds of dying in a car crash (about 1 in 93). The rate has remained stable across both NISMART waves, separated by 12 years and different methodological designs.

The geography of these events is the entry’s most counter-intuitive finding. Most parents locate the danger in crowded, unfamiliar public spaces — theme parks, beach boardwalks, busy markets — precisely the vacation settings where briefly losing sight of a child triggers worst-case thinking. NCMEC’s analysis of attempted and completed stranger abductions tells a different story: most incidents occur on streets within a few blocks of the child’s home, during unsupervised outdoor activity on school days, most commonly during morning and afternoon commute hours. Street settings and residential neighborhoods dominate; tourist venues do not appear as elevated-risk locations in the documented case data. The crowded-vacation-site fear maps to the wrong environment. The actual highest-risk window for a child is a routine walk home from school without an adult present, not a theme park visit with parents.

Within the overall rate, risk concentrates sharply in two demographic groups. Girls account for 69% of victims — an overrepresentation relative to their share of the child population — and the motive in roughly half of all cases is sexual. Ages 12-17 account for about 58% of victims despite comprising only a third of the 0-17 population, making teenagers the highest-risk group and young children the lowest within the stranger-abduction category specifically. Recovery rates have improved significantly: in 1999, roughly 40% of stereotypical kidnapping victims were killed; by 2011, that figure had fallen to 8%, and 92% of victims were recovered alive. The fear that circulates from the 1980s milk-carton era reflects a mortality profile that no longer exists; the underlying rate has been approximately stable, but the outcomes have changed substantially.

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] Office of Juvenile Justice and Delinquency Prevention (OJJDP) — Wolak, Finkelhor & Sedlak, 2016 (NCJ 249249) — Child Victims of Stereotypical Kidnappings Known to Law Enforcement in 2011
    Child Victims of Stereotypical Kidnappings Known to Law Enforcement in 2011
    Statistic
    Approximately 105 children were victims of stereotypical kidnappings in 2011; 69% of victims were female; ages 12-17 comprised the largest victim group; 92% were recovered alive
    Excerpt
    “"Approximately 105 children were victims of such kidnappings in 2011, remaining virtually unchanged from 1997 estimates. Victims were most commonly white girls 12-17 years old." ”
    Source data from
    2016-01-01
    Accessed
    2026-05-21 · archived copy
    Calculation
    NISMART-3 provides the most recent national estimate of stereotypical kidnappings in the US. The 105 figure is based on law-enforcement-identified cases meeting the NISMART definition (stranger/slight-acquaintance abductor, transportation 50+ miles OR overnight detention OR ransom demand OR intent to keep permanently OR killing). Divided by 73.2M children gives an annual rate of 1.43/million. Compounded over 18 years: 0.0000258 lifetime probability. The NISMART-2 estimate for 1999 was 115 cases (95% CI: 60-170); the near-identical 2011 figure indicates the rate has been stable. The 60-170 CI from NISMART-2 drives the uncertainty band: lower bound 60 × 18 / 73,200,000 = 0.0000148; upper bound 170 × 18 / 73,200,000 = 0.0000418.
    Independence
    NISMART-3 is based on law-enforcement records and is methodologically independent of NISMART-2, which used a household survey approach. Both produce consistent results, providing cross-method corroboration of the ~100-115 annual figure.
  2. [2] Office of Juvenile Justice and Delinquency Prevention (OJJDP) — 2002 — Nonfamily Abducted Children: National Estimates and Characteristics (NISMART-2)
    Nonfamily Abducted Children: National Estimates and Characteristics (NISMART-2)
    Statistic
    Estimated 115 stereotypical kidnappings of children in 1999 (95% CI: 60-170); girls were 69% of victims; ages 12 and older comprised 58% of victims
    Excerpt
    “"An estimated 115 victims of stereotypical kidnappings" ”
    Source data from
    2002-10-01
    Accessed
    2026-05-21 · archived copy
    Calculation
    NISMART-2 was a nationally representative household survey covering 1999. The confidence interval (60-170) is used to define the uncertainty band for the normalized estimate: low = 60 × 18 / 73,200,000 = 0.0000148; high = 170 × 18 / 73,200,000 = 0.0000418. The consistency with the 2011 law-enforcement figure of 105 supports treating the ~100-115 range as a stable baseline.
    Independence
    Household survey methodology, methodologically independent from the NISMART-3 law-enforcement records approach. Both methods converge on the ~100-120 range, providing cross-method validation.
  3. [3] Federal Interagency Forum on Child and Family Statistics (ChildStats.gov) — America's Children: Key National Indicators of Well-Being — POP1 Child Population
    America's Children: Key National Indicators of Well-Being — POP1 Child Population
    Statistic
    73.2 million children ages 0-17 in the United States in 2022
    Excerpt
    “"In 2022, there were 73.2 million children ages 0-17 in the United States" ”
    Source data from
    2023-07-01
    Accessed
    2026-05-21 · archived copy
    Calculation
    Used as the population denominator for the annual rate calculation. 73.2 million children ages 0-17 is the 2022 Census-based estimate from the Federal Interagency Forum on Child and Family Statistics, a joint federal statistical product drawing on Census data.
  4. [4] National Center for Missing and Exploited Children (NCMEC) — Non-Family Abductions
    Non-Family Abductions
    Statistic
    Most stranger abductions occur on streets while children are playing, walking, or cycling; attempted abductions peak during school commute hours (7-9 a.m., 3-4 p.m.); proximity to home is the dominant risk setting, not vacation or tourist sites
    Excerpt
    “"Most incidents occur on streets while children are playing, walking, or cycling" ”
    Source data from
    2024-01-01
    Accessed
    2026-05-21 · archived copy
    Calculation
    NCMEC provides qualitative location and timing data for stranger abductions and attempted abductions. Used to contextualize the entry: the popular fear locates risk at crowded vacation destinations (theme parks, beaches), but NCMEC's data shows that the dominant risk setting is near home, on school routes, during unsupervised outdoor play. This counter-intuitive finding is a core editorial point for the entry's prose. Not used in the probability arithmetic.

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