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Perceived fear vs. actual probability

What is the lifetime risk of developing an eating disorder?

Lifetime probability

~1 in 11

9.0% lifetime chance

Most people underestimate this.

Scopes vary — shown as typical adult lifetime odds. See methodology.

Health · reviewed 2026-06-14
Evidence quality 4.0/5

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

D1 Source grounding
4/5
D2 Source authority
4/5
D3 Arithmetic
5/5
D4 Uncertainty
3/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
4/5
Average 4.0/5
Direct evidence
Source Reference estimate · National Eating Disorders Association
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 3.7 1 in 11

● your factors — click this risk ▾ to reveal

  1. Your factors
A pale shape with an irregular missing piece on a muted sage-grey background, flat vector illustration suggesting absence.

Perceived

Eating disorders are widely perceived as rare, affecting a narrow demographic of young, affluent, white women. This stereotype is empirically wrong on every axis: eating disorders affect all genders, ages, races, and socioeconomic groups, and the aggregate lifetime prevalence (~9%) is far higher than most adults would guess. Public awareness campaigns have made anorexia nervosa the most recognisable eating disorder, but binge eating disorder is roughly three times more prevalent. The perception that eating disorders are primarily about vanity rather than psychopathology contributes to both underdiagnosis and underfunding relative to their mortality burden.

Rough estimate: Most adults assume eating disorders affect 1-2% of the population; the true figure is roughly 9%

Source: editorial intuition, not polled

Actual

~9% of the US population (~31 million) will have an eating disorder in their lifetime

US population, all genders

Show derivation

NEDA cites approximately 9% of the US population (roughly 31 million Americans) as the lifetime prevalence for any eating disorder. ANAD provides concordant figures. The overall lifetime prevalence is estimated at 8.60% among females and 4.07% among males. The 9% figure aggregates anorexia nervosa, bulimia nervosa, binge eating disorder, ARFID, and other specified/unspecified eating disorders. Point estimate of 0.09 used directly as lifetime prevalence. Uncertainty band reflects variation across studies and diagnostic criteria: lower bound from studies applying narrowest DSM-5 criteria (~0.05), upper bound from studies including subthreshold presentations and adjustment for known under-diagnosis (~0.15). The point estimate of 0.09 sits within this range; the 3x ratio reflects genuine methodological spread across studies.

Caveats: The 9% lifetime prevalence aggregates multiple distinct conditions — anorexia ne…

The 9% lifetime prevalence aggregates multiple distinct conditions — anorexia nervosa, bulimia nervosa, binge eating disorder, ARFID, and other specified or unspecified eating disorders — that have different risk profiles, demographic patterns, and mortality rates. Anorexia nervosa (~0.9% lifetime in women) has the highest case mortality of any mental illness, but binge eating disorder (~3.5% lifetime) is far more prevalent. The 10,200 annual deaths figure is an estimate that includes direct medical and suicide deaths attributable to eating disorders; the true toll may be higher because eating disorders are underreported on death certificates. Treatment rates are low: fewer than half of people with eating disorders receive treatment, and the average delay from onset to treatment is roughly 5-7 years. A note on social media and adolescents: eating-disorder-related health visits among US under-17s more than doubled between 2018 and 2022 (Pastore et al., Journal of Pediatrics, 2023), and cross-sectional work links appearance-focused social-media use to higher eating disorder pathology in adolescent girls (Dahlgren et al., Journal of Eating Disorders, 2024). These are associational and trend data, not a measured per-person relative risk, so no social-media multiplier is listed among the personal factors — the evidence base does not yet support a defensible fold-increase figure.

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Compare to:

Roughly 9% of the US population — about 31 million people — will develop an eating disorder at some point in their lifetime, according to the National Eating Disorders Association. That makes eating disorders roughly thirteen times more common than schizophrenia (lifetime prevalence around 0.7% globally), though still less prevalent than mood or anxiety disorders. The figure aggregates anorexia nervosa, bulimia nervosa, binge eating disorder, ARFID, and other diagnostic categories, with binge eating disorder alone accounting for roughly 3.5% of the lifetime total. Most adults, if asked, would guess the number is closer to 1-2% — the gap between intuition and epidemiology is among the widest on this site.

The mortality statistics are where eating disorders depart from the “common but manageable” pattern of most high-prevalence mental health conditions. About 10,200 deaths per year in the US are directly attributable to eating disorders — one every 52 minutes. Anorexia nervosa carries the highest case mortality rate and the second-highest crude mortality rate of any mental illness, with a standardized mortality ratio of 5.21: women with anorexia die at more than five times the rate of age-matched peers. The causes of death are split between the medical consequences of starvation (cardiac arrest, organ failure, electrolyte derangement) and suicide — patients with anorexia are 18 times more likely to die by suicide than the general population.

The demographic stereotype — young, white, affluent, female — is at best a partial truth. While lifetime prevalence is higher in females (~8.6%) than males (~4.1%), the gap is narrower than most people assume, and it has been closing in recent cohort studies. Eating disorders affect all races and socioeconomic groups; in fact, some research suggests that Black and Hispanic adolescents are as likely as white peers to engage in binge eating and purging behaviors. LGBTQ+ individuals face roughly double the baseline rate across all subtypes. Athletes in leanness-emphasizing sports — gymnastics, wrestling, distance running, ballet — face roughly 2.5x the population rate. Fewer than half of people with eating disorders ever receive treatment, and the average delay from symptom onset to treatment is roughly 5-7 years, making eating disorders one of the most underdiagnosed and undertreated high-mortality conditions in psychiatry.

About 1 in 11 US adults will have an eating disorder in their lifetime (~9%), several times the 1-2% most people assume. The "young affluent white woman" stereotype is wrong on every axis; binge eating disorder is the most common form.

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.

3/3 sources independently verified verbatim against the cited source

  1. [1] National Eating Disorders Association — Eating Disorder Statistics Verified
    Eating Disorder Statistics
    Statistic
    9% of the US population (~31 million) will have an eating disorder in their lifetime; 10,200 deaths per year
    Excerpt
    “"9% of the US population, or nearly 31 million Americans will have an eating disorder in their lifetime. [...] 10,200 deaths each year are the direct result of an eating disorder — that's one death every 52 minutes." ”
    Source data from
    2025-06-01
    Accessed
    2026-04-24 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    NEDA is the largest US eating-disorders advocacy and research organisation. The 9% lifetime prevalence figure is drawn from multiple epidemiological studies, including the WHO World Mental Health Survey Initiative. The 10,200 annual death figure includes deaths directly attributable to eating disorders (cardiac arrest, organ failure, suicide) but not indirect contributions to mortality. The 31 million figure is ~9% of the current US population of ~345 million.
    Independence
    NEDA compiles statistics from multiple primary research studies and government sources. Not a primary data producer itself; functions as an authoritative aggregator of eating-disorder epidemiology.
  2. [2] National Association of Anorexia Nervosa and Associated Disorders — Eating Disorder Statistics Verified
    Eating Disorder Statistics
    Statistic
    Anorexia has the highest case mortality rate and second-highest crude mortality rate of any mental illness
    Excerpt
    “"10,200 deaths each year are the direct result of an eating disorder—that's one death every 52 minutes. [...] Anorexia has the highest case mortality rate and second-highest crude mortality rate of any mental illness." ”
    Source data from
    2025-01-01
    Accessed
    2026-04-24 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    ANAD corroborates the NEDA statistics and adds the mortality-ranking context. The standardized mortality ratio for anorexia nervosa is 5.21 (i.e., women with anorexia die at 5.2x the rate of age-matched peers), which is the highest of any mental illness. Bulimia nervosa has an SMR of 2.20 and binge eating disorder 1.46. The "highest case mortality rate" claim is supported by meta-analyses of eating-disorder mortality published in the International Journal of Eating Disorders and Archives of General Psychiatry.
    Independence
    ANAD is a separate organisation from NEDA, but both cite the same underlying epidemiological studies (notably the WHO World Mental Health Survey Initiative and meta-analyses published in the International Journal of Eating Disorders). The 9% lifetime prevalence and 10,200 annual deaths figures appear on both sites because they originate from the same primary research, not from independent data collection. ANAD provides additional mortality-ranking context not found on the NEDA page.
  3. [3] National Eating Disorders Association — Eating Disorders and Suicide Verified
    Eating Disorders and Suicide
    Statistic
    Individuals with anorexia are 18 times more likely to die by suicide than the general population; individuals with bulimia are 7 times more likely
    Excerpt
    “"Individuals with anorexia are 18 times more likely to die by suicide and those struggling with bulimia are 7 more times likely to die by suicide." ”
    Source data from
    2023-10-18
    Accessed
    2026-07-04 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Supports the body-text claim of an elevated suicide-specific risk in anorexia, distinct from the overall standardized mortality ratio (SMR 5.21, all-cause) already cited from ANAD above.
    Independence
    Same publisher (NEDA) as the primary lifetime-prevalence source above, but a distinct page addressing suicide-specific risk rather than overall prevalence; the underlying figure traces to the eating- disorder mortality literature synthesized by both NEDA and ANAD.

434 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 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 Skipping care over ICE fear — 1 in 7.1 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 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 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 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 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 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 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 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 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 2.3 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 9.8 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 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 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 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 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 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 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 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 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 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 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 Parent death/disability — 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 26 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 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved 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 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 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 Dying without heir — 1 in 100 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 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 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 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 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 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 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 709 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 159 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 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 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 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 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 Child nicotine-pouch ingestion — 1 in 7,937 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 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 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 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 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 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 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 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 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 Crocodile attack — 1 in 337,838 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 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 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 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
Lottery jackpot 1 in 95,238

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