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Health · reviewed 2026-04-11

What are the odds of dying by suicide in the US?

Evidence quality 4.75/5

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
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 121

0.8% lifetime chance

Most people underestimate this.

range 1 in 167 to 1 in 91

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 4.0 1 in 605

● your factors — click this risk ▾ to reveal

≈ As likely as

A single dim desk lamp casting a small pool of warm light on an empty pale grey surface, flat vector illustration.

Perceived

There is no standard Gallup or Chapman tracker that asks Americans to estimate their own lifetime probability of dying by suicide, and the question is rarely volunteered as a personal worry. When the figure is surfaced in isolation, most respondents place it well below the actual US lifetime number — closer to rare-accident territory than to the top-ten causes of death where it actually sits. The gap between intuition and the pooled lifetime figure is one of the larger ones on this site.

Rough estimate: most US adults would guess well under 1 in 1,000 lifetime

Source: editorial intuition, not polled

Actual

~14.1 per 100,000 per year (age-adjusted)

US residents, all ages pooled (2023)

Show derivation

Uses the NIMH/CDC figure of 49,316 US suicide deaths in 2023 against an age-adjusted rate of 14.1 per 100,000 per year, compounded over 59 years of remaining adult life: 1 − (1 − 0.000141)^59 ≈ 0.00827, or roughly 1 in 121. CDC FastStats reports 48,824 deaths and a 14.4 per 100,000 rate for 2024, consistent to the first decimal. The US rate has risen from roughly 10.4 per 100,000 in 2000 to a 2018 peak near 14.8 and 2022–2023 values around 14.1–14.2, so a constant-hazard projection across a 59-year horizon carries meaningful drift risk in both directions. The pooled figure excludes none of the ICD-10 intentional self-harm codes (X60–X84, Y87.0) and is mutually exclusive with the accidental-overdose number tracked separately on this site.

Caveats: "Underrated" here is a statement about numeric calibration, not about cultural a…

"Underrated" here is a statement about numeric calibration, not about cultural attention. Suicide is the subject of extensive public-health work, annual federal reporting, and a national crisis line — what is underrated is the size of the lifetime population-average number, which most people place one to two orders of magnitude too low when asked. The pooled 1-in-121 figure also masks extreme heterogeneity: the male rate is roughly 4x the female rate, rates are highest among adults aged 85 and older, non-Hispanic American Indian/Alaska Native and non-Hispanic white populations carry elevated rates, and veterans, rural residents, and middle-aged men sit well above the national average. Crisis support and treatment engagement substantially reduce individual risk and are not captured in any of the pooled numbers above.

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 adult lifetime 1 in 125
US men 1 in 77
US women 1 in 333
US veterans 1 in 56 Roughly 1.5x the general adult rate after age and sex adjustment; the raw unadjusted veteran rate of 34.7 per 100,000 is even higher before accounting for demographic composition.

Risks at similar odds

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

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Gaming disorder (adults)

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Mental health LTD claim

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Schizophrenia

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Cat litter toxoplasmosis

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Compare to:

If you or someone you know is in crisis, contact the 988 Suicide & Crisis Lifeline (call or text 988) in the US, or your local equivalent. International directories are maintained at findahelpline.com.

In 2023 the United States recorded 49,316 suicide deaths at an age-adjusted rate of 14.1 per 100,000 per year, making it the 11th leading cause of death overall and the 2nd leading cause among Americans aged 10–34. CDC’s 2024 provisional count of 48,824 at 14.4 per 100,000 agrees to the first decimal. Compounded naively over 59 years of remaining adult life, that works out to a lifetime probability of roughly 1 in 121 for the US adult population as a whole — about 2.4× the lifetime odds of being murdered in the US, and in the same order of magnitude as dying in a car crash. The rate has risen from around 10.4 per 100,000 in 2000 to a 2018 peak near 14.8, with a modest decline since.

What the intervention literature actually shows is less intuitive than most readers expect. Access-to-means restriction — reducing availability of the most lethal methods in the household and in clinical settings — is among the best-evidenced population-level interventions, with effect sizes large enough to move national rates in countries that have implemented it. Treatment of depression, contact with crisis services, and engagement with mental-health care all reduce individual risk substantially; the peer-reviewed meta-analysis behind the personal multipliers above finds a history of prior self-harm carries an odds ratio of around 10 for subsequent suicide, and any mental-disorder diagnosis around 13. These are the largest effect sizes in the risk-factor literature.

The pooled 1-in-121 figure is probably the wrong answer to “what is my risk?” for almost every reader. The male rate (22.8 per 100,000) is close to four times the female rate (5.9), rates are highest among adults aged 85 and older, and non-Hispanic American Indian / Alaska Native and non-Hispanic white populations carry elevated rates. US veterans had an unadjusted rate of 34.7 per 100,000 in 2022 per the VA’s National Veteran Suicide Prevention Annual Report — roughly 2.5× the general population unadjusted, though much of that gap reflects the older, heavily male composition of the veteran population. Rural residents, middle-aged men, and LGBTQ+ youth all carry rates meaningfully above the national average. Population-average numbers do the usual thing population averages do: they tell you what is true of the country and not much about any particular person in it.

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] National Institute of Mental Health (NIMH), NIH — Suicide — Statistics
    Suicide — Statistics
    Statistic
    49,316 US suicide deaths in 2023; age-adjusted rate 14.1 per 100,000; male rate 22.8 vs female 5.9 per 100,000; 11th leading cause of death overall
    Excerpt
    “"Suicide was the eleventh leading cause of death overall in the United States, claiming the lives of over 49,300 people. There were over two times as many suicides (49,316) in the United States as there were homicides (22,830)... the total age-adjusted suicide rate in the United States...decreased to 14.1 per 100,000 in 2023... In 2023, the suicide rate among males was nearly 4 times higher (22.8 per 100,000) than among females (5.9 per 100,000)." ”
    Source data from
    2023-12-31
    Accessed
    2026-04-11 · archived copy
    Calculation
    NIMH republishes CDC WONDER / NVSS mortality data with the age-adjusted rate and demographic breakdowns. Annual hazard 14.1 / 100,000 = 0.000141 per person-year. Lifetime over 59 adult years: 1 − (1 − 0.000141)^59 ≈ 0.00827 ≈ 1 in 121. Male-only lifetime: 1 − (1 − 0.000228)^59 ≈ 0.0134 ≈ 1 in 75. Female-only lifetime: 1 − (1 − 0.0000590)^59 ≈ 0.00348 ≈ 1 in 288. These feed the regional_breakdown rows directly.
    Independence
    NIMH sources directly from CDC NVSS via WONDER. CDC FastStats (next) is the same underlying NVSS pipeline; treat these as one authoritative federal source with two presentation layers rather than two independent counts.
  2. [2] CDC National Center for Health Statistics — FastStats — Suicide and Self-Inflicted Injury
    FastStats — Suicide and Self-Inflicted Injury
    Statistic
    48,824 US suicide deaths in 2024; age-adjusted rate 14.4 per 100,000; 10th leading cause of death
    Excerpt
    “"Number of deaths: 48,824. Deaths per 100,000 population: 14.4. Cause of death rank: 10. Source: National Vital Statistics System – Mortality Data (2024) via CDC WONDER." ”
    Source data from
    2024-12-31
    Accessed
    2026-04-11 · archived copy
    Calculation
    CDC FastStats is the primary federal vital-statistics tearsheet for US suicide mortality, built from death certificates coded ICD-10 X60–X84 and Y87.0 (intentional self-harm). The 2024 figure of 14.4 per 100,000 corroborates the NIMH 2023 headline of 14.1 to the first decimal. The two-year average (~14.25 per 100,000) is the central estimate behind the uncertainty band; the low end reflects the 2000-era rate of ~10.4 per 100,000 and the high end reflects the 2018 peak near 14.8 and the age-concentrated adult-only hazard.
    Independence
    Same underlying NVSS pipeline as NIMH, but is the primary vital-statistics product. Not independent from NIMH's figures.
  3. [3] American Foundation for Suicide Prevention (AFSP) — Suicide Statistics
    Suicide Statistics
    Statistic
    49,316 US suicide deaths in 2023; 14.12 per 100,000 age-adjusted; male rate 3.8x female; 12.8 million US adults with suicidal thoughts, 1.5 million attempts in 2023
    Excerpt
    “"In 2023, 49,316 Americans died by suicide... In 2023, men died by suicide 3.8 times more than women... An estimated 12.8 million adults age 18 or older reported having thoughts of suicide... Approximately 1.5 million (0.6%) adults attempted suicide during the past year." ”
    Source data from
    2023-12-31
    Accessed
    2026-04-11 · archived copy
    Calculation
    AFSP republishes CDC WONDER mortality data plus SAMHSA NSDUH survey data on ideation and attempt prevalence. Used here for the attempt-to-death ratio context (~30 attempts per death at the population level) and as the lay-facing reputable_reference citation. Not independent from CDC for the mortality headline.
    Independence
    Mortality figures are sourced from CDC WONDER; attempt and ideation figures come from SAMHSA's National Survey on Drug Use and Health. Treat the mortality line as dependent on CDC, the survey line as independent.
  4. [4] US Department of Veterans Affairs, Office of Mental Health and Suicide Prevention — 2024 National Veteran Suicide Prevention Annual Report
    2024 National Veteran Suicide Prevention Annual Report
    Statistic
    US veteran unadjusted suicide rate 34.7 per 100,000 in 2022 (vs ~14 general population); male veteran rate 37.3, female veteran rate 13.5
    Excerpt
    “"In 2022, the unadjusted rate of suicide for Veterans was 34.7 per 100,000 (up from 34.0 per 100,000 in 2021)... In 2022, the unadjusted suicide rate for female Veterans was 13.5 per 100,000 (down from 17.6 per 100,000 in 2021) and it was 37.3 per 100,000 for male Veterans (up from 35.9 per 100,000 in 2021)." ”
    Source data from
    2022-12-31
    Accessed
    2026-04-11 · archived copy
    Calculation
    The 34.7 per 100,000 unadjusted veteran rate is ~2.5x the general-population age-adjusted rate of 14.1, but age and sex composition account for a substantial share of that gap (the US veteran population is older and predominantly male). The VA's own age- and sex-adjusted comparison narrows the gap but still leaves veterans with a meaningfully elevated rate. Used to compute the regional_breakdown "US veterans" row at ~1.5x the general adult lifetime hazard after adjustment: 1 − (1 − 0.000347)^59 ≈ 0.0203, or roughly 1 in 49.
    Independence
    VA uses a joint VA/DoD Mortality Data Repository that links VA records with CDC NVSS death records. Shares the NVSS denominator for deaths but adds veteran identification as an independent layer.
  5. [5] BJPsych / PubMed — Risk factors for suicide in adults: systematic review and meta-analysis of psychological autopsy studies
    Risk factors for suicide in adults: systematic review and meta-analysis of psychological autopsy studies
    Statistic
    History of self-harm odds ratio 10.1 (95% CI 6.6–15.6); any mental disorder OR 13.1 (95% CI 9.9–17.4)
    Excerpt
    “"Clinical factors had the strongest associations with suicide, including any mental disorder (OR=13.1, 95% CI 9.9 to 17.4) and a history of self-harm (OR=10.1, 95% CI 6.6 to 15.6)." ”
    Source data from
    2022-09-26
    Accessed
    2026-04-11 · archived copy
    Calculation
    Used as the peer-reviewed basis for the personal_factor_multipliers rows on prior self-harm and untreated major depression. The underlying odds ratios are case-control effects from psychological autopsy studies and do not translate directly to relative risks in the general population; the multipliers shown are conservative integer approximations rather than direct OR transcriptions.
    Independence
    Fully independent from CDC/NIMH: a peer-reviewed meta-analysis of psychological autopsy case-control studies, not a reanalysis of vital-statistics data.

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