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Crime · reviewed 2026-04-19

What are the odds of being killed by police?

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 4,739

0.02% lifetime chance

Most people overestimate this.

range 1 in 6,667 to 1 in 3,571

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 1,896 1 in 78,989

● your factors — click this risk ▾ to reveal

≈ As likely as

Abstract geometric shapes suggesting a badge outline in muted blue and grey tones, flat editorial illustration.

Perceived

Fatal police encounters occupy an outsized share of public attention relative to their base rate, driven by high-profile incidents, body-camera footage, and sustained protest movements since 2014. Gallup and Pew surveys consistently find that Black Americans perceive police violence as a major threat, while white Americans tend to view it as rare and justified. Neither perception maps cleanly onto the actuarial numbers. The intense media salience means most people — regardless of race — anchor on memorable cases rather than population-level rates, inflating perceived risk for some demographics while deflating it for others.

Rough estimate: 28.7% of US adults report being afraid or very afraid of police brutality (Chapman Survey 2024)

Source: Chapman University (2024) — Chapman University Survey of American Fears, Wave 10 — Complete List of Fears 2024

Actual

~1,200 people killed by police per year in the US

US residents, all ages

Show derivation

Mapping Police Violence recorded 1,202 police killings in 2025 and 1,365 in 2024. The Washington Post Fatal Force database tracked over 1,000 fatal police shootings per year from 2015–2024. Using a midpoint estimate of ~1,200 deaths per year among ~335 million US residents yields an annual rate of approximately 3.6 per million (0.00000358). Over a 59-year adult lifetime at constant hazard: 1 − (1 − 0.00000358)^59 ≈ 0.000211. However, Edwards et al. (2019, PNAS) computed age-specific lifetime risks using more granular demographic data and found the overall male lifetime risk at approximately 1 in 2,000 (0.0005) and overall female risk at approximately 1 in 33,000 (0.00003). We use the Edwards population-weighted estimate of ~0.000182 for all persons as a crosscheck, noting our simple annualized figure of 0.000211 is broadly consistent. The normalized figure uses 0.000211 from the annualized approach for methodological consistency with other entries on this site.

Caveats: "Killed by police" encompasses a range of circumstances — from unarmed encounter…

"Killed by police" encompasses a range of circumstances — from unarmed encounters to armed confrontations, from traffic stops to active-shooter responses. The databases used here (Mapping Police Violence, Washington Post Fatal Force) count all deaths at the hands of on-duty officers regardless of legal justification. Roughly 95% of those killed are male. The racial disparity is large and well-documented: Black Americans are killed at 2.5–3× the rate of white Americans after adjusting for population share, though the absolute lifetime risk for any individual remains below 0.1%. Rates vary enormously by city — some police departments kill at rates 10× the national average. The Edwards et al. lifetime estimates assume constant 2013–2018 rates; the uptick in police killings since 2020 (peaking at 1,365 in 2024) suggests the actual lifetime risk for today's young adults may be marginally higher than published estimates. Official vital statistics undercount police killings by over 50% according to the Lancet GBD study, making independent databases the most reliable source.

Risks at similar odds

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

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Accidental gun death

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Dowry death

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Honor killing

What are the odds of being killed in an honor crime?

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Homicide

What are the odds of being murdered in the US?

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Police duty death

What are the odds of a US police officer dying in the line of duty over a career?

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School shooting

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Mass shooting

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

Compare to:

Roughly 1,200 people are killed by police in the United States each year, according to Mapping Police Violence and the Washington Post’s Fatal Force database. That works out to an annual rate of about 3.6 per million residents, or a lifetime probability of approximately 1 in 5,000 for the general population (both sexes). For men specifically, the lifetime risk rises to around 1 in 2,000 — comparable to the lifetime odds of dying in a fire, and about one-sixth the lifetime risk of homicide by any perpetrator.

The racial disparity is the defining feature of this statistic. Edwards et al. (2019) calculated that Black men face roughly a 1-in-1,000 lifetime risk of being killed by police — 2.5 times the rate for men overall and about 3 times the rate for white men. American Indian and Alaska Native men face similarly elevated rates. These disparities persist after controlling for geography and urbanization, though they narrow (without disappearing) when adjusted for poverty rates and encounter frequency. A separate Lancet study found that official death certificates miss over half of police-violence deaths entirely, meaning the true toll was undercounted for decades before independent databases began filling the gap around 2013.

The aggregate statistic obscures enormous local variation. Some police departments kill residents at rates ten or more times the national average, while others record zero fatalities over multi-year periods. Nearly 95% of those killed are male, and risk peaks sharply between ages 20 and 35. The 1,365 killings recorded in 2024 represented a record high; 2025 saw the first year-over-year decline since 2021, at 1,202. Whether this inflection point holds or reverts will shape whether the lifetime risk for today’s young adults exceeds the published estimates, which relied on 2013–2018 data.

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] Campaign Zero / Mapping Police Violence — Mapping Police Violence
    Mapping Police Violence
    Statistic
    1,365 people killed by police in the US in 2024; 1,202 in 2025
    Excerpt
    “"Police in the United States killed 1,365 people in 2024, the deadliest year since data collection began. In 2025, police killed 1,202 people, a roughly five percent decrease marking the first year-over-year decline since 2021." ”
    Source data from
    2026-01-15
    Accessed
    2026-04-18 · archived copy
    Calculation
    Mapping Police Violence compiles data from news reports, public records, and social media to track all police killings (not just shootings). Using the 2024 figure of 1,365 and 2025 figure of 1,202, the midpoint is ~1,284. With US population of ~335 million: 1,284/335,000,000 ≈ 3.83 per million per year ≈ 0.00000383. Lifetime over 59 adult years: 1 − (1 − 0.00000383)^59 ≈ 0.000226. Using the more conservative ~1,200/year figure: 1,200/335,000,000 ≈ 3.58 per million, lifetime ≈ 0.000211.
  2. [2] Proceedings of the National Academy of Sciences — Risk of being killed by police use of force in the United States by age, race–ethnicity, and sex
    Risk of being killed by police use of force in the United States by age, race–ethnicity, and sex
    Statistic
    Lifetime risk: ~1 in 1,000 for Black men; ~1 in 2,000 for all men; ~1 in 33,000 for all women
    Excerpt
    “"Black men face about a 1 in 1,000 chance of being killed by police over the life course. The average lifetime odds of being killed by police are about 1 in 2,000 for men and about 1 in 33,000 for women. Risk peaks between the ages of 20 and 35 for all groups." ”
    Source data from
    2019-08-20
    Accessed
    2026-04-18 · archived copy
    Calculation
    Edwards, Lee & Esposito (2019) used police-involved death data from 2013–2018 and age-specific mortality modeling to estimate lifetime risks by race, ethnicity, and sex. Their Black male lifetime risk of 1 in 1,000 (0.001) is roughly 2.5× the overall male risk of 1 in 2,000 (0.0005). The sex-averaged population rate implied by their figures (~0.000182) is somewhat lower than our simple annualized estimate of 0.000211 because their model accounts for competing mortality risks and age-weighted exposure. Both approaches converge in the 1-in-4,000 to 1-in-6,000 range for the general population (both sexes combined).
  3. [3] The Lancet — Fatal police violence by race and state in the USA, 1980–2019: a network meta-regression
    Fatal police violence by race and state in the USA, 1980–2019: a network meta-regression
    Statistic
    Estimated 30,800 deaths from police violence 1980–2018; rate of 0.35 per 100,000 for non-Hispanic Black people vs 0.20 per 100,000 for non-Hispanic white people
    Excerpt
    “"Across all races and states, we estimated 30,800 deaths from police violence between 1980 and 2018. The rate for non-Hispanic Black people was 0.35 per 100,000, 1.8 times higher than the rate for non-Hispanic White people. More than half of deaths from police violence were unreported or misclassified in official vital statistics." ”
    Source data from
    2021-10-02
    Accessed
    2026-04-18 · archived copy
    Calculation
    The GBD-affiliated Lancet study found systematic undercount in official death certificates — over 50% of police-violence deaths were misclassified. The rate of 0.35 per 100,000 for Black Americans (3.5 per million) annualizes to a 59-year lifetime risk of 1 − (1 − 0.0000035)^59 ≈ 0.000207 for Black Americans, somewhat lower than the Edwards PNAS estimate because the Lancet study used a longer time period (1980–2019) with lower rates in earlier decades. The finding that vital statistics miss >50% of cases underscores why independent databases (Mapping Police Violence, Fatal Force) are essential.

412 risks with measured probability
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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