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Crime · reviewed 2026-04-11

What are the odds of dying in a mass shooting in the US?

Evidence quality 5.0/5

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
5/5
D8 Caveat completeness
5/5
Average 5.0/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 113,636

0.0009% lifetime chance

Most people overestimate this.

range 1 in 188,679 to 1 in 56,818

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 37,879 1 in 378,788

● your factors — click this risk ▾ to reveal

≈ As likely as

A single empty folding chair in a wide, pale auditorium, flat vector illustration, no people.

Perceived

Mass shootings are one of the most-polled fears in the US. In Gallup's August 2019 wave, 48% of Americans said they were "very" or "somewhat" worried that they or a family member would become the victim of a mass shooting — the highest of three readings Gallup took in the wake of major incidents. Women, younger adults, and non-gun-owners report consistently higher worry levels, with a roughly 20-point gender gap that has been stable across waves.

Rough estimate: ~1 in a few thousand lifetime feels about right to many respondents

Source: Gallup (2019) — Nearly Half in U.S. Fear Being the Victim of a Mass Shooting

Actual

~50 deaths per year (US, public mass shootings)

US residents, pooled across age, sex, race, and geography

Show derivation

Uses the "public mass shooting" definition (4+ victims murdered with firearms in a public place, not attributable to underlying criminal activity) from the Violence Project database and the US National Institute of Justice. The Violence Project database records 1,446 fatalities across 202 incidents from 1966 through 2025, an average of roughly 24 deaths per year over the full 60-year window. The annual count is highly volatile — recent decades run higher than the long-run average, with the 2015–2024 window averaging closer to 50 deaths per year, pulled up by outlier events (Las Vegas 2017: 60 killed; Orlando 2016: 49 killed). Using ~50 deaths per year against a US population of ~335 million gives an annual hazard of ~1.49e-7 per person; compounded over a 59-year remaining adult life: 1 − (1 − 1.49e-7)^59 ≈ 8.8e-6, or ~1 in 114,000. The uncertainty band reflects the legitimate spread between databases and definitions, not a statistical sampling error.

Caveats: Almost every word of this entry depends on the definition. The Violence Project …

Almost every word of this entry depends on the definition. The Violence Project and the FBI "mass murder" definition require four or more people killed with firearms in a public place, excluding gang, drug, and domestic incidents — the figure above uses this definition. The FBI's separate "active shooter" series has a lower threshold (any shooter actively engaged in killing in a populated area, regardless of body count) and produces larger annual totals. Mother Jones uses a similar public-place criterion but lowered the threshold from four to three deaths in 2013. The Gun Violence Archive uses "four or more shot (not necessarily killed), any context" and reports hundreds of incidents per year — an order of magnitude more than the definition used here, because it folds in gang- and domestic-related shootings that the public-mass-shooting definition excludes. The pooled annual rate is also highly volatile: a single Las Vegas 2017 (60 killed) or Orlando 2016 (49 killed) event can double a year's fatality count. And as with all pooled crime numbers, geography and venue matter: schools, workplaces, places of worship, and entertainment venues carry very different per-visit risks, and the overall per-capita figure is the wrong baseline for any specific setting.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
US lifetime (Violence Project / NIJ definition, 4+ killed) 1 in 113,636 baseline figure from strict definition
US lifetime (Gun Violence Archive definition, 4+ shot) 1 in 16,667 broader definition including all shootings with 4+ victims wounded raises the number roughly 7x

Risks at similar odds

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

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School shooting

What are the odds of a US student being killed in a school shooting?

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Acid attack

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Child stranger abduction

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

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Terrorism

What are the odds of dying in a terrorist attack in the US?

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Fatal police encounter

What are the odds of being killed by police?

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Homicide

What are the odds of being murdered in the US?

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Intimate-partner homicide

What are the odds of being killed by an intimate partner?

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Night walk assault

What are the odds of being assaulted while walking alone at night?

Compare to:

Under the “public mass shooting” definition used by the Violence Project database and the US National Institute of Justice — four or more victims killed with a firearm in a public place, not attributable to underlying criminal activity — the US has recorded roughly 1,446 deaths across 202 incidents between 1966 and 2025. That averages to about 24 deaths per year over the full 60-year window and closer to ~50 per year across the most recent decade, pulled upward by outlier events. Against a US population of ~335 million and a 59-year adult horizon, that works out to roughly 1 in 114,000 lifetime — a rate about 30× lower than the lifetime odds of being murdered by any means in the US, and roughly 7× higher than the lifetime odds of dying in a commercial plane crash.

The perceived-vs-actual gap here is large but uncommonly honest on both sides. Gallup’s 2019 poll found 48% of US adults “very” or “somewhat” worried about becoming the victim of a mass shooting, and the worry tracks news coverage of recent events rather than the underlying base rate. The gap is easy to explain — mass shootings are designed to be visible, the victim count in a single incident can be larger than a small town’s annual homicide total, and the psychological cost is not captured by the per-capita hazard. A careful read of these numbers is not “you are being irrational”; it is “the probability of personal involvement is low, the collective and psychological cost is not, and those are two different questions.”

Where the number doesn’t apply is almost everywhere you might look twice. The definition excludes gang, drug, and domestic shootings, which means the figure here is lower than totals from the Gun Violence Archive (“four or more shot, any context”) by roughly an order of magnitude, and lower than the FBI Active Shooter series by a meaningful factor as well. The annual count is volatile in a way the pooled average hides: a single Las Vegas 2017 event killed 60 people and by itself exceeds the long-run annual average. And the per-capita baseline is a poor guide to venue-specific risk — schools, workplaces, places of worship, and entertainment venues each have their own hazard profile, and a reader who wants to know “should I be worried here?” is asking a question this number cannot answer.

Dying of heart disease is roughly 9,700× more likely than dying in a mass shooting over a US adult lifetime (1 in 12 vs ~1 in 110,000). Public coverage runs the inverse ratio.

Read more → ⇄ compare

1 in 6 adolescents will attempt suicide during their teen years. The lifetime odds of dying in a mass shooting are 1 in 110,000. Schools run lockdown drills for the rare threat and miss the common one sitting in class.

Read more → ⇄ compare

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] US National Institute of Justice — Public Mass Shootings: Database Amasses Details of a Half Century of U.S. Mass Shootings with Firearms, Generating Psychosocial Histories
    Public Mass Shootings: Database Amasses Details of a Half Century of U.S. Mass Shootings with Firearms, Generating Psychosocial Histories
    Statistic
    167 public mass shootings in the US 1966–2019 under the Violence Project definition; 20% of incidents occurred in the last five years of the study period
    Excerpt
    “"The project spanned mass shootings over more than 50 years, yet 20% of the 167 mass shootings in that period occurred in the last five years of the study period. More than half occurred after 2000, of which 33% occurred after 2010. The years with the highest number of mass shootings were 2018, with nine, and 1999 and 2017, each with seven." ”
    Source data from
    2022-02-03
    Accessed
    2026-04-11 · archived copy
    Calculation
    NIJ's writeup of the Violence Project database is the authoritative government-funded treatment of the "public mass shooting" definition: four or more victims murdered with firearms within one event, at least some of the murders in a public location, not attributable to underlying criminal activity (gang, drug, domestic). This is the definition used for the native and normalized figures. The NIJ figure of 167 incidents through 2019 is consistent with the Violence Project's updated total of 202 incidents through 2025 (35 additional incidents in ~6 years, matching the accelerating rate).
    Independence
    NIJ funded the Violence Project database, so these two sources are not independent — they describe the same underlying data pipeline. Treat as one authoritative source with a peer review layer.
  2. [2] The Violence Project — Mass Shooter Database
    Mass Shooter Database
    Statistic
    202 mass shooting incidents and 1,446 fatalities in the US from 1966 through 2025 under the four-or-more-killed-in-public definition
    Excerpt
    “"The database contains comprehensive data: 202 mass shootings tracked from 1966 to 2025; 1,446 lives lost across all incidents; 2,246 non-fatal casualties." ”
    Source data from
    2025-12-31
    Accessed
    2026-04-11 · archived copy
    Calculation
    1,446 deaths / 60 years ≈ 24 deaths/year as the long-run average. The recent decade runs higher — roughly 40–60 deaths/year depending on which single-event outliers fall inside the window. I used ~50 deaths/year as the central estimate for the normalized figure, with a low bound of ~30/year (typical non-peak years) and a high bound of ~100/year (peak year including a Las-Vegas-scale event averaged in). Against a US population of ~335M and a 59-year adult horizon, those bounds give lifetime odds of roughly 1 in 190,000 (low) to 1 in 57,000 (high), with the central value at ~1 in 114,000.
    Independence
    The Violence Project is the primary data collection; NIJ is the federal funder and reviewer. Mother Jones and the FBI Active Shooter reports use overlapping but meaningfully different definitions and produce different totals. See caveats.
  3. [3] Gallup — Nearly Half in U.S. Fear Being the Victim of a Mass Shooting
    Nearly Half in U.S. Fear Being the Victim of a Mass Shooting
    Statistic
    48% of US adults worried very or somewhat about being a victim of a mass shooting (August 2019)
    Excerpt
    “"Almost half of Americans (48%) are worried that they or a family member will be a victim of a mass shooting, the highest reading of three conducted in the wake of a mass shooting. Currently, 48% of U.S. adults are 'very' or 'somewhat' worried, compared with 39% in 2017 after one gunman killed 58 people in Las Vegas and 38% in 2015 after a San Bernardino shooter left 14 dead." ”
    Source data from
    2019-09-10
    Accessed
    2026-04-11 · archived copy
    Calculation
    Used only for the perceived-risk side. The 48% figure is the share of respondents reporting very-or-somewhat worry, not an elicited probability; there is no direct conversion to a subjective lifetime probability. Gallup's poll is the best-known national instrument for tracking mass-shooting worry even though the series is short and event-driven.
    Independence
    Gallup telephone polling, entirely separate from the Violence Project / NIJ incident-database pipeline. Used only for the perceived-risk axis — measures public worry, not mass-shooting incidence or fatalities.

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