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Health · reviewed 2026-04-18

What are the odds of getting a kidney stone in your lifetime?

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 11

9.0% lifetime chance

range 1 in 14 to 1 in 8.3

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 5.6 1 in 11

● your factors — click this risk ▾ to reveal

≈ As likely as

A small angular shape resting at the base of a smooth curved form, muted palette, flat vector illustration.

Perceived

Most adults have heard at least one vivid first-person account of passing a kidney stone, and the consensus cultural shorthand is "worst pain of my life". That framing makes the fear primarily about intensity, not frequency. People generally know kidney stones are common — nobody files them alongside shark attacks or lightning — but the anticipated pain dominates the emotional weighting. There is no large-scale survey quantifying perceived lifetime kidney stone probability as a standalone risk, so the kind here is intuition rather than poll.

Rough estimate: Most adults intuit kidney stones as fairly common — roughly 1 in 10 to 1 in 20 — which is approximately right

Source: editorial intuition, not polled

Actual

~1 in 11 US adults will have a symptomatic kidney stone in their lifetime

US adults, age-adjusted, both sexes combined

Show derivation

Uses the NHANES cross-sectional prevalence data analysed by Scales et al. (2012, European Urology) as the primary anchor: 10.6% self-reported lifetime prevalence in men and 7.1% in women during 2007–2010, up from 6.3% and 4.1% respectively in the 1988–1994 wave. Sex-weighted average for the US adult population is approximately 8.8%, rounded to 0.09 (~1 in 11). This is prevalence of at least one symptomatic episode, not incidence per year. The secular trend is upward — Stamatelou et al. (2003) documented a rising prevalence between 1976 and 1994, and the Scales update confirmed the trend continued through 2010. Rule et al. (2009, Mayo Clinic/Olmsted County) found incidence increased particularly in women, narrowing the historical sex gap. Uncertainty range 0.07–0.12 reflects the sex-weighted band and ongoing secular increase. The number is symptomatic stones only; asymptomatic stones detected incidentally on imaging are excluded from the NHANES self-report methodology.

Caveats: Kidney stones are almost never fatal — annual US mortality is in the low hundred…

Kidney stones are almost never fatal — annual US mortality is in the low hundreds, making the death rate negligible. The fear is about pain and recurrence, not survival. The 8.8% headline is symptomatic stones only; asymptomatic stones found incidentally on CT or ultrasound are far more common but clinically irrelevant unless they grow or migrate. The secular trend is upward and likely driven by rising obesity, dietary sodium, and climate warming; the true 2026 prevalence may already exceed 10%. Roughly 80% of stones are calcium oxalate; the remainder (uric acid, strite, cystine) have different risk profiles and recurrence patterns. Recurrence is the dominant clinical concern: about 50% of first-time stone formers will have another episode within 5–7 years without preventive intervention.

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 men 1 in 9.4 NHANES 2007–2010; ~1 in 9
US women 1 in 14 NHANES 2007–2010; ~1 in 14; gap narrowing over time
US Southeast ('stone belt') 1 in 8.3 Higher rates in hot, humid climates; dehydration and dietary factors
Prior stone formers (recurrence within 5–7 years) 1 in 2.0 ~50% recurrence rate without preventive intervention

Risks at similar odds

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

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Compare to:

About 1 in 11 US adults will experience a symptomatic kidney stone at some point, according to NHANES data analysed by Scales et al. (2012): 10.6% lifetime prevalence in men, 7.1% in women. That number has been climbing steadily; it was 3.8% in the late 1970s and 5.2% in the early 1990s, and the NIDDK rounds the current male figure to 11%. The trend is real, driven by rising obesity, higher dietary sodium, and possibly climate warming. Kidney stones sit in roughly the same order of magnitude as a lifetime type 2 diabetes death risk, about 10,000x above a lightning strike, and meaningfully below lifetime cancer mortality.

The unusual feature of kidney stones as a fear is that the fear is roughly proportionate to the experience. People are not wildly overestimating or underestimating the frequency; they know it is common. What drives the outsized dread is the reported pain intensity, routinely described as comparable to or exceeding childbirth in patient surveys. The gap between “how afraid people are” and “how likely it is” is small. The gap between “how afraid people are” and “how dangerous it is” is large: kidney stones are almost never fatal. Annual US stone-related deaths number in the low hundreds across a population of 330 million.

Where the headline does not apply evenly: men run about 1.5 times the risk of women, though that gap has narrowed considerably since the 1970s when it was closer to 3:1. Geography matters — the US Southeast “stone belt” shows prevalence roughly 30% above the national average, likely from heat-driven dehydration. And recurrence is the real clinical burden: roughly half of first-time stone formers will have a second episode within five to seven years without dietary or pharmacological intervention. A single lifetime stone is a coin-flip on whether it becomes a recurring condition.

Kidney stones affect roughly 11% of people over a lifetime. Appendicitis hits about 8%. Combined, nearly 1 in 5 adults will experience one of these acute abdominal emergencies. Neither appears in anyone's financial planning.

Read more → ⇄ compare

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] European Urology (Scales et al.) — Prevalence of Kidney Stones in the United States
    Prevalence of Kidney Stones in the United States
    Statistic
    Overall prevalence of kidney stones was 8.8% (10.6% in men, 7.1% in women) during 2007–2010, up from 5.2% in 1988–1994
    Excerpt
    “"The prevalence of stone disease in the United States has increased from 5.2% in NHANES III (1988–1994) to 8.8% in NHANES 2007–2010. Men had a higher prevalence of stones than women (10.6% vs 7.1%)." ”
    Source data from
    2012-05-17
    Accessed
    2026-04-18 · archived copy
    Calculation
    Scales et al. analysed NHANES 2007–2010 (n = 12,110) and found 8.8% self-reported lifetime prevalence of kidney stones in US adults. This is the direct anchor for the headline ~1 in 11 figure. Sex-specific rates (10.6% M, 7.1% F) inform the personal_factor_multipliers. The study also documented the secular trend from 5.2% (1988–1994) to 8.8% (2007–2010), confirming that the true current figure may be higher still.
    Independence
    NHANES is a nationally representative cross-sectional survey run by NCHS/CDC. This is the primary US epidemiological dataset for kidney stone prevalence and is independent of the clinic-based Mayo/Olmsted County cohort (Rule et al.).
  2. [2] National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK/NIH) — Definition & Facts for Kidney Stones
    Definition & Facts for Kidney Stones
    Statistic
    About 11 percent of men and 6 percent of women in the United States have kidney stones at least once during their lifetime
    Excerpt
    “"About 11 percent of men and 6 percent of women in the United States have kidney stones at least once during their lifetime." ”
    Source data from
    2024-03-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    NIDDK's fact sheet rounds the Scales et al. NHANES figures to 11% (men) and 6% (women). The sex-combined midpoint is ~8.5%, consistent with the 8.8% from the primary study. Used as the authoritative government framing of the same underlying NHANES data.
    Independence
    NIDDK republishes NHANES-derived prevalence data; same upstream dataset as the Scales et al. study. Included as the institutional government citation rather than as an independent verification.
  3. [3] Kidney International (Rule et al.) — Kidney Stones in a Population-Based Study (Rochester Epidemiology Project)
    Kidney Stones in a Population-Based Study (Rochester Epidemiology Project)
    Statistic
    Incidence of kidney stones increased from 1970 to 2000, with a particularly marked increase among women
    Excerpt
    “"The incidence of kidney stones increased overall during the study period (1970–2000) particularly among women, in whom the age-adjusted incidence rate nearly doubled." ”
    Source data from
    2009-06-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    Rule et al. used the Rochester Epidemiology Project (Olmsted County, MN) to track first-episode kidney stone incidence from 1970 to 2000. The study confirmed rising incidence and a narrowing of the male-to-female ratio from ~3:1 to ~1.3:1 in younger cohorts. This clinic-based incidence data provides an independent cross-check on the NHANES prevalence trend.
    Independence
    The Rochester Epidemiology Project is a population-based medical records linkage system in Olmsted County, MN — methodologically independent of the NHANES cross-sectional survey used by Scales et al.
  4. [4] Kidney International (Stamatelou et al.) — Time Trends in Reported Prevalence of Kidney Stones in the United States: 1976–1994
    Time Trends in Reported Prevalence of Kidney Stones in the United States: 1976–1994
    Statistic
    Lifetime prevalence of kidney stones increased from 3.8% in 1976–1980 to 5.2% in 1988–1994
    Excerpt
    “"The lifetime prevalence of kidney stone disease increased 37% between NHANES II (1976–1980; 3.8%) and NHANES III (1988–1994; 5.2%)." ”
    Source data from
    2003-05-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    Stamatelou et al. documented the secular trend from NHANES II through NHANES III, establishing the trajectory that Scales et al. later extended to 8.8% in the 2007–2010 wave. The 37% relative increase across 15 years is consistent with the continued rise through the 2000s.
    Independence
    Same upstream NHANES data programme as the Scales et al. analysis, but covering earlier waves (1976–1994 vs 2007–2010). Included for the secular trend, not as an independent prevalence estimate.

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