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Likelier
Health · reviewed 2026-04-11

What are the odds of dying from a drug overdose?

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
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 42

2.4% lifetime chance

range 1 in 55 to 1 in 35

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 1.0 1 in 2,110

● your factors — click this risk ▾ to reveal

≈ As likely as

A single empty prescription pill bottle tipped on its side against a muted grey background, flat vector illustration.

Perceived

There is no canonical "fear of dying from a drug overdose" poll the way there is for flying or being murdered. Most people do not file overdose under "things that could happen to me" at all — it is mentally shelved alongside events that happen to other people, in other neighbourhoods, after other life trajectories. The gap between that intuition and the actual US lifetime number is one of the largest on this site.

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

Source: editorial intuition, not polled

Actual

~31.3 per 100,000 per year (all ages, crude)

US residents, all ages pooled (2023)

Show derivation

Uses 105,007 US drug overdose deaths in 2023 (CDC NCHS Data Brief 522) against a roughly 258 million US adult population (18+). That yields an approximate adult-year hazard of 105,007 / 258,000,000 ≈ 0.000407 per adult-year. Compounded over 59 years of remaining adult life: 1 − (1 − 0.000407)^59 ≈ 0.0237, or about 1 in 42. The adjustment from the all-ages crude rate (~1 in 54 lifetime) reflects the fact that drug overdose deaths are concentrated in working-age adults, so the per-adult hazard is meaningfully higher than the per-capita hazard. Counts include all drug-involved overdoses — opioids, stimulants, benzodiazepines, and polysubstance — and are dominated by synthetic opioids (fentanyl) in the 2020s. Excludes pure alcohol poisoning (tracked separately) and excludes deaths coded as intentional self-harm by drug poisoning (ICD-10 X60–X64), which fall under suicide, not accidental/undetermined overdose.

Caveats: This is the fear on Likelier where the pooled lifetime number is least informati…

This is the fear on Likelier where the pooled lifetime number is least informative about any individual reader's actual risk. The distribution is sharply skewed on three axes at once. By age, deaths are concentrated in the 25–54 band, with rates falling off steeply after 65 and near-zero in childhood. By drug exposure, the single biggest predictor is prior opioid use — people with no history of non-medical opioid or stimulant use carry a small fraction of the pooled hazard, while people with opioid use disorder carry many multiples of it. By geography, county-level overdose mortality spans more than an order of magnitude, with Appalachian, Rust Belt, and West Coast metros far above the national average. The 1-in-42 figure is the right answer to "what is the average US adult's lifetime accidental overdose risk?" and the wrong answer to almost any more specific question. Note also that Likelier's number excludes deaths coded as intentional self-harm by drug poisoning (those live under suicide) and excludes pure alcohol poisoning (separate category).

Risks at similar odds

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

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Medication reaction

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Secondhand smoke

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Benzo dependence

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Cannabis use disorder

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Gaming disorder (adults)

What are the odds of developing gaming disorder as an adult?

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Opioid addiction

What are the odds of developing opioid addiction after a standard surgical prescription?

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Adult-onset food allergy

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Air pollution

What are the odds of dying prematurely from air pollution?

Compare to:

The magnitude here is the story. In 2023 the United States recorded 105,007 drug overdose deaths, down slightly from the 2022 peak of 107,941 but still more than double the 2015 figure and more than ten times the 2003 figure. Against a US adult population of roughly 258 million, that works out to an annual accidental overdose hazard of about 4 per 10,000 adults. Compounded naively over 59 years of remaining adult life, the lifetime number lands around 1 in 42 — putting accidental drug overdose in the same order of magnitude as dying in a car crash, and roughly 7× higher than the lifetime odds of being murdered in the US. For working-age adults specifically, drug overdose has overtaken motor vehicle crashes as a cause of death in most recent years.

The composition of that number has shifted faster than almost any other mortality category. Synthetic opioids — essentially fentanyl and its analogues — accounted for about 72,800 of the 2023 total, with cocaine and methamphetamine behind a rapidly growing stimulant share and benzodiazepines almost always present as a polysubstance co-factor rather than a lone cause. The 2022–2023 dip is real and continued into early 2024 provisional data, but the post-2015 level shift is an order of magnitude above the pre-fentanyl baseline and should be read as the new regime, not a temporary excursion.

What is unusual about this fear is how quietly it sits in most people’s heads. There is no Gallup tracker asking Americans how often they worry about dying of an overdose, because the survey designers, like most of the respondents, have filed it under “things that happen to other people”. The heterogeneity makes that half-true: by age, drug history, and geography, the actual risk spans more than two orders of magnitude, and the population-average 1-in-42 is not a personal forecast for anyone in particular. It is, however, the right number for the question “how common is this, really” — and the answer is: much more common than the near-absence of personal worry would suggest.

Dying of an accidental drug overdose is about 7× more likely than being murdered over a US adult lifetime (~1 in 42 vs ~1 in 290). Overdose surpassed homicide nationally in the late 2010s and stayed there.

Read more → ⇄ compare

About 50% of lifelong smokers die from smoking. Drug overdose death odds are 1 in 42 over a lifetime. Smoking is legal, taxed, and sold at every gas station. One is a public health campaign. The other is a war.

Read more → ⇄ compare

The lifetime hazard of a US adult dying from an accidental drug overdose is about 1 in 42, comparable to many natural deaths and roughly 250× the mass-shooting baseline. Public ranking still puts it lower than both.

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] CDC National Center for Health Statistics — Drug Overdose Deaths in the United States, 2003–2023 (NCHS Data Brief No. 522)
    Drug Overdose Deaths in the United States, 2003–2023 (NCHS Data Brief No. 522)
    Statistic
    105,007 US drug overdose deaths in 2023; age-adjusted rate 31.3 per 100,000 (down from 32.6 in 2022)
    Excerpt
    “"The age-adjusted rate of drug overdose deaths increased from 8.9 deaths per 100,000 standard population in 2003 to 32.6 in 2022; however, the rate decreased to 31.3 in 2023. After a period of increase between 2013 and 2022, rates of drug overdose deaths involving synthetic opioids other than methadone, which includes fentanyl, fentanyl analogs, and tramadol, decreased between 2022 and 2023." ”
    Source data from
    2024-12-19
    Accessed
    2026-04-11 · archived copy
    Calculation
    NCHS counts deaths from death certificates with an underlying cause coded as drug poisoning (ICD-10 X40–X44 accidental, X60–X64 intentional, X85 assault, Y10–Y14 undetermined). Likelier's normalized figure uses the accidental + undetermined portion, which is where ~90%+ of overdose deaths sit; intentional self-harm by drug poisoning is excluded here and lives under the suicide category. 105,007 deaths / ~258M US adults ≈ 0.000407 per adult-year; 1 − (1 − 0.000407)^59 ≈ 0.0237 ≈ 1 in 42. The uncertainty band spans the plausible envelope from using the all-ages crude rate (~1 in 54) to using a higher working-age-concentrated hazard (~1 in 35).
    Independence
    NCHS Data Brief 522 is the primary federal product on overdose mortality, built directly from NVSS death certificate records. NIDA's tracker (below) republishes and extends the same underlying NVSS data with drug-category breakdowns, so the two sources are partially dependent.
  2. [2] National Institute on Drug Abuse (NIDA), NIH — Drug Overdose Deaths: Facts and Figures
    Drug Overdose Deaths: Facts and Figures
    Statistic
    Over 105,000 US drug-involved overdose deaths in 2023; 107,941 in 2022; 79,358 opioid-involved; 72,776 synthetic-opioid-involved
    Excerpt
    “"Over 105,000 persons in the U.S. died from drug-involved overdose in 2023… Opioid-involved overdose deaths rose from 49,860 in 2019 to 81,806 in 2022 with a significant decrease to 79,358 in 2023… Drug overdose deaths involving synthetic opioids other than methadone (primarily fentanyl) decreased to 72,776 in 2023… In 2023, there were 10,870 drug overdose deaths involving benzodiazepines." ”
    Source data from
    2024-08-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    NIDA's breakdown confirms that opioids (79,358) and specifically synthetic opioids (72,776) dominate the 2023 total, with stimulants (cocaine and methamphetamine combined, ~59,725 deaths, counted with substantial overlap) as the fast-growing second front. Benzodiazepines (10,870) are almost always part of a polysubstance mix rather than a lone cause. Used here to characterise the composition of the 105,007-death total rather than to recompute the headline number.
    Independence
    NIDA sources its figures from CDC WONDER / NVSS — same underlying data as the NCHS Data Brief — but provides the drug-category decomposition that NCHS headlines omit. Treat as a composition check, not an independent count.
  3. [3] CDC National Center for Health Statistics / National Vital Statistics System — Vital Statistics Rapid Release — Provisional Drug Overdose Data
    Vital Statistics Rapid Release — Provisional Drug Overdose Data
    Statistic
    VSRR publishes provisional 12-month ending overdose death counts, identified via ICD-10 codes X40–X44, X60–X64, X85, Y10–Y14
    Excerpt
    “"Final drug overdose death data are published annually through NCHS statistical reports and CDC WONDER. Drug overdose deaths are identified using underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), and Y10–Y14 (undetermined) from the International Classification of Diseases, Tenth Revision." ”
    Source data from
    2025-02-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Cited to document the ICD-10 coding scope used throughout. The Likelier normalized figure explicitly excludes X60–X64 (intentional self-harm by drug poisoning) so that intent is not double-counted with the suicide category.
    Independence
    VSRR is the provisional front-end of the same NVSS death-certificate pipeline that feeds NCHS Data Brief 522 and NIDA's tracker; treat as a methodological reference for the ICD-10 coding scope rather than an independent count.

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