Skip to content
Likelier
Health · reviewed 2026-04-11

What are the odds of losing significant vision in a 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
5/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
5/5
D8 Caveat completeness
4/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 6.7

15% lifetime chance

range 1 in 10 to 1 in 4.5

lifetime, global adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 2.2 1 in 9.5

● your factors — click this risk ▾ to reveal

≈ As likely as

A single pale circle softly out of focus against a muted grey-blue background, flat vector illustration.

Perceived

Vision loss is broadly understood as an aging risk — most adults know that cataracts, macular degeneration, and glaucoma exist, and that "your eyes get worse" is a thing that happens. The specific personal odds, though, almost never get quoted. Ask a typical under-60 reader to guess their lifetime probability of ending up with significant vision impairment and the median answer clusters well under 1 in 20, when the realistic US figure is roughly 1 in 10 and the global figure for anyone who reaches old age is closer to 1 in 7. The fear is culturally present but numerically vague.

Rough estimate: Most adults estimate their personal lifetime risk at well under 1 in 20

Source: editorial intuition, not polled

Actual

~2.2 billion people globally have a near or distance vision impairment; ~43 million blind

global adults

Show derivation

Uses the WHO Blindness and Vision Impairment fact sheet headline of ~2.2 billion people globally with near or distance vision impairment as the broad prevalence anchor, and the Vision Loss Expert Group (VLEG) / GBD 2019 Lancet Global Health paper (Steinmetz et al. 2021) for the narrower category of adults 50+ with blindness or moderate-to-severe distance vision impairment: 33.6 million blind and 206 million with MSVI in 2020 among adults 50+. Two complementary routes to a lifetime figure: (a) Direct prevalence: 2.2 billion / ~6 billion adults ≈ 37% point prevalence of any vision impairment, including uncorrected refractive error and presbyopia. Restricting to "significant" impairment (moderate-to-severe distance VI or blindness) gives ~240 million / ~2 billion adults 50+ ≈ 12% point prevalence in that age band, which is the direct anchor for the ~15% global lifetime figure once cumulative incidence across remaining lifespan is added. (b) Age-stratified: US VEHSS / CDC vision-health data indicate ~12 million US adults have some vision impairment and ~1 million are blind, and the age gradient is steep — under-65 rates are low, but among adults 80+, roughly 1 in 4 to 1 in 3 has significant vision loss. Naive compounding of age-specific hazards across an adult lifespan yields ~10-12% for US adults and ~15% globally. Headline 0.15 (≈ 1 in 7) with a wide uncertainty band of 0.10 to 0.22 to span the gap between the narrow "US adult lifetime" figure (~10-12%) and the broader "global adult who lives to old age" figure (~20-25%). Scope is global_adult_lifetime because cataract- driven vision loss is overwhelmingly concentrated in LMIC populations without surgical access, which pulls the global number meaningfully above the US-only figure.

Caveats: The single biggest interpretive issue on this entry is the "preventable vs actua…

The single biggest interpretive issue on this entry is the "preventable vs actually lost" split. WHO estimates that vision loss could have been prevented or is yet to be addressed in roughly 1 billion of the 2.2 billion global cases, and the VLEG / GBD 2019 paper is clear that cataract — a condition that a single 15-minute outpatient surgery can almost entirely reverse — is the single largest cause of global blindness. The ~15% global figure therefore mixes truly lost vision (AMD, advanced glaucoma) with undertreated conditions whose cure is well-established and cheap. Treat this as two different numbers bundled into one statistic: a biological ceiling and a healthcare-access ceiling. The US figure (~10-12% lifetime) is closer to the biological ceiling because near-universal cataract surgery access removes the largest correctable cause from the denominator. The age gradient is also load-bearing: under-65 vision impairment rates are quite low, and the cumulative lifetime figure is heavily driven by what happens after 75. Anyone dying before their mid-70s from another cause never reaches peak vision-loss age, which is why the "global average" and "US adults 80+" rows in the regional breakdown differ by roughly a factor of two despite describing the same underlying hazard.

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
Global average, any significant adult-onset vision impairment 1 in 6.7 MSVI-or-blindness cumulative lifetime incidence; anchored on VLEG/GBD 2019 age-50+ prevalence
US adult lifetime 1 in 8.3 Roughly 12 million US adults with vision impairment and ~1 million blind; lifetime figure pulled down by near-universal cataract surgery access
LMIC — South Asia / Sub-Saharan Africa 1 in 4.0 Cataract dominates; almost entirely treatable with a single outpatient surgery — the global number is partly a healthcare-access measure, not disease biology
US adults 80+ 1 in 3.3 Vision loss is heavily concentrated in the oldest decades; roughly 1 in 3 US adults 80+ has significant impairment

Risks at similar odds

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

Health

Severe hearing loss

What are the lifetime odds of developing severe or profound hearing loss?

Health

Alzheimer's

What are the odds of dying from Alzheimer's disease or other dementia?

Health

Stroke

What are the odds of dying from a stroke?

Health

Non-Alzheimer's dementia

How likely is non-Alzheimer's dementia (vascular, Lewy body, FTD)?

Health

Elderly abandonment

What are the odds of ending up in a nursing home abandoned by your family?

Health

5+ years paid LTC

What are the odds of needing more than five years of paid long-term care?

Health

Grandparent loss in childhood

What are the odds a 9-year-old loses at least one grandparent before turning 18?

Health

Hip fracture risk

How likely is an older adult to suffer a hip fracture?

Compare to:

Roughly 2.2 billion people worldwide have some form of vision impairment according to the WHO, and the VLEG / GBD 2019 analysis in Lancet Global Health puts the narrower “significant” category — moderate-to-severe distance vision impairment or blindness — at about 240 million adults aged 50 and over, of whom 33.6 million are blind. Spread across a global adult lifespan and weighted for the fact that incidence climbs sharply above age 75, the lifetime probability of significant vision loss is roughly 1 in 7 globally and closer to 1 in 10 in the US, where near-universal cataract surgery removes the single largest correctable cause from the denominator. Cataract, age-related macular degeneration, glaucoma, and diabetic retinopathy dominate the causes; in the US, the CDC identifies cataract as the leading cause of vision loss and diabetic retinopathy as the leading cause of blindness in working-age adults.

The interesting thing about acquired vision loss as a global statistic is how much of it is a healthcare-access number rather than a disease-biology number. WHO estimates that vision loss could have been prevented or is yet to be addressed in roughly 1 billion of the 2.2 billion cases, and that 1 in 2 people globally who need cataract surgery do not have access to it. Cataract surgery is one of the highest-return surgical interventions in medicine — a single outpatient procedure that can almost entirely restore vision — and its unequal global distribution is what pulls the worldwide lifetime figure meaningfully above the US one. Read the ~15% global number as two numbers bundled together: an irreducible biological ceiling from AMD and advanced glaucoma, and an entirely reducible access ceiling from untreated cataract in low- and middle-income countries.

The age gradient is the other thing that matters. Under-65 significant vision impairment rates are low in every region the data covers. The cumulative lifetime figure is almost entirely driven by what happens in the last two decades of life — by the time US adults reach 80+, the cross-sectional prevalence of significant impairment approaches 1 in 3, which is why anyone who lives long enough to avoid competing mortality should not be calibrating against the global-average headline. A 55-year-old non-diabetic non-smoker with no AMD family history and regular dilated eye exams is running meaningfully below the population number; a 75-year-old with 25 years of type 2 diabetes and a smoking history is running several-fold above it. The headline is an average across a distribution that is wider than most fears in this catalogue.

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] World Health Organization — Blindness and vision impairment — fact sheet
    Blindness and vision impairment — fact sheet
    Statistic
    At least 2.2 billion people globally have a near or distance vision impairment; in at least 1 billion cases vision loss could have been prevented or is yet to be addressed; leading causes are refractive errors and cataracts; 1 in 2 people globally who need cataract surgery do not have access
    Excerpt
    “"Globally, at least 2.2 billion people have a near or distance vision impairment. In at least 1 billion of these, vision impairment could have been prevented or is yet to be addressed. [...] The leading causes of vision impairment and blindness are refractive errors and cataracts. [...] 1 in 2 people globally who need cataract surgery don't have access to that surgery." ”
    Source data from
    2023-08-10
    Accessed
    2026-04-11 · archived copy
    Calculation
    WHO's 2.2 billion / ~6 billion global adult population ≈ 37% point prevalence of *any* vision impairment, which is too broad for the "significant" framing (it includes presbyopia and uncorrected refractive error). The 1 billion preventable- or-unaddressed subset is the policy-relevant figure and the anchor for the ~90% avoidable claim in the long-form body. The single most load-bearing sentence is the "1 in 2 people globally who need cataract surgery don't have access" line, which establishes that the global number is partly a measure of healthcare access, not disease biology.
    Independence
    WHO draws on upstream VLEG / GBD data for its fact-sheet headlines; treat as partially dependent with the Steinmetz et al. 2021 source below.
  2. [2] Lancet Global Health — GBD 2019 Blindness and Vision Impairment Collaborators (Steinmetz et al.) — Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study
    Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study
    Statistic
    33.6 million cases of global blindness and 206 million cases of moderate-to-severe vision impairment (MSVI) in adults aged 50+ in 2020; leading causes globally (blindness, adults 50+) were cataract (15.2M), glaucoma (3.6M), undercorrected refractive error (2.3M), age-related macular degeneration (1.8M), and diabetic retinopathy (0.86M)
    Excerpt
    “"Global crude prevalence of 33·6 million cases of global blindness [in] adults aged 50 years and older in 2020. [...] 206 million aged 50 years and older adults with MSVI in 2020. [...] cataract (15·2 million cases), followed by glaucoma (3·6 million cases), undercorrected refractive error (2·3 million cases), age-related macular degeneration (1·8 million cases), diabetic retinopathy (0·86 million cases)." ”
    Source data from
    2020-12-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Among adults aged 50+ (~2 billion globally), ~240 million have MSVI or blindness — a ~12% point prevalence in that age band. Since the 50+ hazard compounds across the remaining 30+ years of typical lifespan and shifts heavily upward above age 75, the cumulative lifetime incidence from mid-life onward is meaningfully higher than the cross-sectional point prevalence. This is the primary anchor for the 0.15 headline — it is also the source of the "cataract is the single largest cause of global blindness" claim that drives the treatability discussion in the body. Age-standardized rates of avoidable MSVI did not improve meaningfully over 2010-2019, so the WHO VISION 2020 target was missed; the absolute numbers grew because populations aged.
    Independence
    This is the VLEG / GBD 2019 paper that the WHO fact sheet above ultimately cites; the two sources share an upstream and should be treated as partially dependent. The per-cause breakdown here is the methodologically primary statement; WHO is the policy summary.
  3. [3] US Centers for Disease Control and Prevention — About Common Eye Disorders and Diseases
    About Common Eye Disorders and Diseases
    Statistic
    ~20.5 million Americans 40+ have cataract in one or both eyes; ~1.8 million Americans 40+ are affected by age-related macular degeneration; ~4.1 million Americans have diabetic retinopathy and 899,000 have vision-threatening retinopathy; cataract is the leading cause of vision loss in the US and diabetic retinopathy is the leading cause of blindness in working-age Americans
    Excerpt
    “"An estimated 20.5 million (17.2%) Americans aged 40 years and older have cataract in one or both eyes. [...] About 1.8 million Americans aged 40 years and older are affected by AMD. [...] An estimated 4.1 million Americans have retinopathy and 899,000 have vision-threatening retinopathy. [...] Diabetic retinopathy (DR) is the leading cause of blindness in American adults of working age. [...] Cataract is [...] the leading cause of vision loss in the United States." ”
    Source data from
    2024-05-15
    Accessed
    2026-04-11 · archived copy
    Calculation
    US-specific disease counts that collectively sum to roughly 12 million US adults with significant impairment (including uncorrected refractive error and presbyopia-adjacent conditions) and about 1 million legally blind. Used as the US anchor in regional_breakdown and to justify the ~1-in-10 US lifetime figure as a floor. The key distinction from the global number: the majority of US cataract is surgically corrected and does not progress to blindness, which is exactly what drives the gap between the US ~10% lifetime figure and the global ~15% figure.
    Independence
    CDC Vision Health Initiative draws on the VEHSS (Vision and Eye Health Surveillance System) and NHANES, which are methodologically independent of the WHO / VLEG upstream; this is the independent US-side cross-check the schema asks for.

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