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Perceived fear vs. actual probability

How likely is a woman to develop cardiovascular disease after menopause — and how much does menopause accelerate that risk?

Lifetime probability · subgroup

About 1 in 3 women has a

33% lifetime chance

Most people underestimate this.

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

Health · reviewed 2026-05-16
Evidence quality 4.5/5

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

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence
Source Peer-reviewed study · European Heart Journal (European Society of Cardiology)
lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.9 1 in 3.0

● your factors — click this risk ▾ to reveal

  1. Your factors
A flat vector illustration of a simple heart rate monitor line on a plain background, muted tones.

Perceived

Cardiovascular disease is widely understood to be the leading cause of death in women globally, but the specific role of menopause as a risk accelerant is not well understood by most women. Cultural attention to breast cancer — a statistically less common outcome — has displaced awareness of the cardiovascular risk profile that menopause alters. Women in their late 40s and early 50s often do not know that their CVD risk doubles in the decade following their final menstrual period, or that the transition represents a meaningful window for preventive intervention. The asymmetry is reinforced by clinical practice: menopause consultations have historically focused on symptom management (vasomotor, sleep, genitourinary) rather than cardiovascular risk stratification.

Source: editorial intuition, not polled

Actual

33 in 100 women globally will develop cardiovascular disease during their lifetime (from age 40)

women from age 40 (lifetime CHD risk, Framingham / Lloyd-Jones 1999; menopause-timing modifiers from Lancet Public Health 2019 pooled IPD and the EHJ 2021 consensus document)

Show derivation

The native rate (33/100 ≈ 1 in 3) is the lifetime risk of coronary heart disease from age 40 reported by Lloyd-Jones et al. (Lancet 1999, Framingham): 31.7% (95% CI 29.2–34.2) for women. This is the figure that gives the familiar "one in three women" headline. Menopause timing modifies this baseline: the Lancet Public Health 2019 pooled IPD analysis (15 studies, 301,438 women) found premature menopause (<40) carried a hazard ratio of 1.55 (95% CI 1.38–1.73) for first non-fatal CVD versus menopause at 50–51, rising to 1.88 before age 60. The EHJ 2021 consensus document adds a ~3% increase in CVD risk per year of earlier menopause and notes the menopause-associated rise in CVD risk cannot be cleanly separated from chronological ageing — so this entry treats menopause as a timing-dependent risk modifier, not a fully aging-independent doubling. The 1-in-3 lifetime figure is US/Framingham-derived for CHD specifically; the broader "cardiovascular disease" umbrella and global/regional estimates vary, which the uncertainty band and caveats reflect. Low (0.28): the lower CI / favourable risk-factor and regional profiles (e.g. East Asian women with lower CVD burden). High (0.40): higher-burden profiles (e.g. Eastern European / Central Asian women with high hypertension and smoking prevalence, and broader all-CVD rather than CHD-only counts).

Caveats: The headline "1 in 3 from age 40" is the lifetime risk of coronary heart disease…

The headline "1 in 3 from age 40" is the lifetime risk of coronary heart disease specifically, from the Framingham cohort (Lloyd-Jones 1999, 31.7% for women); it is US-derived and CHD-specific, not a global all-CVD figure, so global and regional estimates differ. The broader "cardiovascular disease" umbrella (adding stroke, peripheral artery disease, and heart failure) and fatal-CHD-only counts give different numbers. The menopause-timing risk is a relative-risk increase, not an absolute incidence: in the Lancet PH 2019 pooled data premature menopause (<40) carried HR 1.55 for a first non-fatal CVD event (1.88 before age 60), and the EHJ 2021 consensus reports ~3% added CVD risk per year of earlier menopause — but that same consensus stresses the menopause-related rise cannot be cleanly separated from chronological ageing, so the "acceleration" should not be read as a fully aging-independent doubling. If a woman's absolute CHD risk in her 40s is low, a relative increase still leaves the absolute level low. The MHT window-of-opportunity evidence is clinically relevant but not embedded in the native probability; it belongs in a clinical discussion, not a population baseline. Regional variation is substantial — Japanese and Korean women have lower CVD lifetime risk and Eastern European / Central Asian women higher — reflecting different hypertension and smoking profiles, which the uncertainty band approximates.

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Compare to:

Cardiovascular disease is the leading cause of death in women globally, and in the US it kills more women each year than all cancers combined — yet the specific role of menopause as a risk accelerant is poorly understood by most women and inconsistently addressed in clinical practice. The Framingham Heart Study’s lifetime-risk analysis (Lloyd-Jones et al., Lancet 1999) put the lifetime risk of coronary heart disease from age 40 at 31.7% for women — about one in three. Menopause timing modifies that baseline: a 2019 Lancet Public Health pooled analysis of 15 studies covering 301,438 women found that women with premature menopause (before age 40) had a hazard ratio of 1.55 (95% CI 1.38–1.73) for a first non-fatal cardiovascular event compared with menopause at 50–51, with the excess larger before age 60 (HR 1.88). A European consensus document (Maas et al., European Heart Journal 2021) reports a roughly 3% rise in CVD risk per year of earlier menopause, while cautioning that the menopause-related increase in cardiovascular risk cannot be cleanly separated from chronological ageing.

The mechanism is estrogen-related. Estrogen has direct beneficial effects on vascular endothelium: it promotes vasodilation, reduces LDL cholesterol, and suppresses inflammatory markers. As estrogen levels decline through perimenopause and fall sharply after the final menstrual period, these protective effects diminish. The result is a measurable shift in vascular risk profile that occurs over a 5–10 year window around menopause, leaving a woman’s cardiovascular risk trajectory substantially steeper than it would have been had estrogen remained at premenopausal levels. The timing of menopause modifies the magnitude: in the Lancet Public Health pooled data, women who experienced premature menopause (before 40) carried roughly 1.5 times the cardiovascular-event risk of women with menopause at 50–51 overall, and close to 1.9 times before age 60 — and the European consensus document notes that women with premature ovarian insufficiency have a shorter life expectancy from cardiovascular disease and osteoporosis.

The clinical evidence on menopausal hormone therapy (MHT) adds an important nuance: a window-of-opportunity effect has been described. The European Heart Journal consensus document reports that “early initiation of MHT after menopause has the greatest benefit for cardiovascular health” and that women starting MHT below age 60 or within 10 years of menopause onset showed a significant reduction (>30%) in myocardial infarction or cardiac deaths. The earlier era of cardiovascular MHT concerns derived primarily from the Women’s Health Initiative, which enrolled older postmenopausal women initiating therapy more than a decade after menopause. The menopause-CVD relationship is therefore not only about risk magnitude but also about timing of intervention — a distinction that matters practically for how women and their clinicians approach the transition.

About 1 in 3 women globally develops cardiovascular disease in her lifetime, and coronary incidence roughly doubles in the decade after menopause. Breast cancer draws more attention, yet heart disease kills far more women.

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.

3/4 sources independently verified verbatim against the cited source

  1. [1] European Heart Journal (European Society of Cardiology) — Cardiovascular health after menopause transition, pregnancy disorders, and other gynaecologic conditions: a consensus document from European cardiologists, gynaecologists, and endocrinologists Verified
    Cardiovascular health after menopause transition, pregnancy disorders, and other gynaecologic conditions: a consensus document from European cardiologists, gynaecologists, and endocrinologists
    Statistic
    Each year of early menopause is associated with a ~3% increased risk of CVD; women with premature ovarian insufficiency have shorter life expectancy due to CVD; the CVD-risk increase at menopause cannot be cleanly distinguished from ageing; MHT initiated below age 60 or within 10 years of menopause onset was associated with a >30% reduction in MI or cardiac deaths (window-of-opportunity effect)
    Excerpt
    “"Each year of early menopause was associated with a 3% increased risk of CVD. Women with premature ovarian insufficiency (POI), defined as the loss of ovarian function before the age of 40, have a shorter life expectancy than women with a late menopause due to CVD and osteoporosis. While CVD risk increases with the menopause, this cannot be distinguished from ageing. Lower oestrogen levels after menopause are related to altered vascular function, enhanced inflammation, and up-regulation of other hormonal systems." "Women initiating MHT treatment below 60 years of age or within 10 years of onset of menopause showed a significant reduction (>30%) of MI or cardiac deaths." ”
    Source data from
    2021-03-07
    Accessed
    2026-06-30
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Maas et al. (2021), European Heart Journal 42(10):967–984 — a consensus document from European cardiologists, gynaecologists, and endocrinologists (formally approved by the ESC Clinical Practice Guidelines Committee, but not the 2021 ESC CVD-prevention guideline itself). Used here for the menopause-specific risk modifiers: the 3%-per-year early-menopause gradient, premature ovarian insufficiency, and the estrogen-vascular mechanism. The same document also describes a menopausal-hormone-therapy (MHT) "window of opportunity": women initiating MHT below age 60 or within 10 years of menopause onset showed a significant (>30%) reduction in MI or cardiac deaths, which anchors the MHT paragraph in the body text. Note the document explicitly cautions that the menopause-associated CVD-risk rise cannot be cleanly separated from chronological ageing — the entry reflects this caveat rather than claiming a fully aging-independent effect.
  2. [2] The Lancet Public Health — Age at natural menopause and risk of cardiovascular disease: pooled individual participant data from 15 observational studies
    Age at natural menopause and risk of cardiovascular disease: pooled individual participant data from 15 observational studies
    Statistic
    Premature menopause (<40) associated with HR 1.55 (95% CI 1.38–1.73) for first non-fatal CVD vs menopause at 50–51; the excess is larger before age 60 (HR 1.88, 1.62–2.20). Pooled IPD, 301,438 women, 15 studies.
    Excerpt
    “"Compared with women who had menopause at age 50-51 years, the risk of cardiovascular disease was higher in women who had premature menopause (age <40 years; HR 1·55, 95% CI 1·38-1·73; p<0·0001), early menopause (age 40-44 years; 1·30, 1·22-1·39; p<0·0001), and relatively early menopause (age 45-49 years; 1·12, 1·07-1·18; p<0·0001). The associations persisted in never smokers, and were strongest before age 60 years for women with premature menopause (HR 1·88, 1·62-2·20; p<0·0001) and early menopause (1·40, 1·27-1·54; p<0·0001), but were attenuated at age 60-69 years, with no significant association observed at age 70 years and older." ”
    Source data from
    2019-11-01
    Accessed
    2026-06-30 · archived copy
    Calculation
    Zhu et al. (2019) Lancet Public Health — pooled IPD, 15 studies, 301,438 women (12,962 first non-fatal CVD events; 9,369 CHD; 4,338 stroke). The largest individual-participant dataset quantifying the menopause-timing–CVD relationship. The reported risk is for first non-fatal cardiovascular disease (a composite), not a separate CHD hazard ratio; premature menopause (<40) carries HR 1·55 overall and 1·88 before age 60. These figures support the `personal_factor_multipliers` for premature/surgical menopause used in this entry.
  3. [3] The Lancet — Lifetime risk of developing coronary heart disease Verified
    Lifetime risk of developing coronary heart disease

    See all 2 Likelier entries citing this source →

    Statistic
    Lifetime risk of coronary heart disease at age 40 is 31.7% (95% CI 29.2–34.2) for women and 48.6% for men — i.e. about one in three women. Framingham Heart Study, 7,733 participants.
    Excerpt
    “"Lifetime risk of CHD after 40 years of age was 48·6% (95% CI 45·8–51·3) for men and 31·7% (29·2–34·2) for women. At 70 years of age the remaining lifetime risk was 34·9% for men and 24·2% for women. Interpretation: Lifetime risk at age 40 years is one in two for men and one in three for women." ”
    Source data from
    1999-01-09
    Accessed
    2026-06-30 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Lloyd-Jones, Larson, Beiser & Levy (1999), Lancet 353(9147):89–92 — Framingham Heart Study lifetime-risk analysis (n=7,733, CHD-free at baseline). This is the original source of the "one in three women from age 40" lifetime coronary-heart-disease figure that anchors this entry's native rate. Note the headline figure is for coronary heart disease specifically (not the full CVD umbrella) and is US/Framingham-derived; the entry's caveats flag that broader-CVD and global figures differ.
  4. [4] American Heart Association / Go Red for Women — The Facts about Women and Heart Disease Verified
    The Facts about Women and Heart Disease
    Statistic
    Cardiovascular disease kills more US women each year than all forms of cancer combined; only 44% of women recognize CVD as their greatest health threat
    Excerpt
    “"Cardiovascular disease kills more women than all forms of cancer combined and yet only 44% of women recognize that cardiovascular disease is their greatest health threat." ”
    Source data from
    2024-01-01
    Accessed
    2026-07-03 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    American Heart Association's Go Red for Women campaign facts page. Used here to source the entry's opening framing claim that cardiovascular disease kills more US women annually than all cancers combined, which motivates the "underrated" myth framing alongside the menopause-specific timing evidence from Maas et al. and Zhu et al. This is an all-cause CVD statistic, not menopause-specific.
    Independence
    Independent of the Framingham (Lloyd-Jones 1999), Lancet Public Health (Zhu 2019), and EHJ consensus (Maas 2021) sources — an AHA public-health communications source used solely for the all-cause CVD-vs-cancer mortality comparison in US women, not for any menopause-timing figure.

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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