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Health · reviewed 2026-05-16

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

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

Lifetime probability · lifetime, subgroup

1 in 3.0

33% lifetime chance

Most people underestimate this.

range 1 in 3.6 to 1 in 2.5

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 1.5 1 in 3.0

● your factors — click this risk ▾ to reveal

≈ As likely as

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 globally aged 40+ crossing the menopause transition (ESC 2021 / Lancet Public Health 2019 pooled IPD)

Show derivation

European Society of Cardiology 2021 consensus on menopause and cardiovascular disease and International Menopause Society 2024 White Paper both cite lifetime CVD risk for women from age 40 at approximately 1 in 3 globally. The Lancet Public Health 2019 pooled individual participant data (IPD) analysis (15 cohort studies, >300,000 women) confirms that CHD incidence approximately doubles in the decade after the final menstrual period versus the decade before — independent of aging. The ESC and IMS characterize this as a menopause-specific effect, not purely chronological. The native rate (33/100) is the lifetime CVD probability from age 40; the doubling represents the acceleration mechanism. Surgical/early menopause (<45): carries 1.5–2× excess CVD risk compared with natural menopause at the average age (~51 in high-income countries). This excess risk is consistent across SWAN (US), EPIC-Europe, and China Kadoorie cohort studies. The 33% lifetime CVD risk is a global figure; US-specific data (AHA/ACC) shows similar overall lifetime CVD risk (~30–35%) for women surviving to 40. Regional variance: lower in Japan/South Korea (20–25%) due to dietary and metabolic profiles; higher in Eastern Europe and Central Asia (40–45%) due to higher hypertension and smoking prevalence. Low (0.28): East Asian women with favourable dietary and metabolic profiles. High (0.40): Eastern European/Central Asian women with high hypertension prevalence.

Caveats: The 1-in-3 lifetime CVD risk from age 40 conflates coronary heart disease, strok…

The 1-in-3 lifetime CVD risk from age 40 conflates coronary heart disease, stroke, peripheral artery disease, and heart failure under the "cardiovascular disease" umbrella. Studies focused on CHD alone show slightly lower rates (1 in 5 to 1 in 6 for fatal CHD); the 1-in-3 figure is for any CV event. The CHD-doubling finding (decade post-menopause vs decade pre-menopause) is methodologically robust — replicated in US, European, and East Asian cohorts — but it is a relative risk increase, not an absolute incidence. If a woman's CHD risk in her 40s is low due to a favorable risk- factor profile, doubling still leaves the absolute level low. The MHT window-of-opportunity evidence (IMS 2024) is clinically relevant but not embedded in the native probability, as its effect size is highly dependent on individual risk factors and timing; it belongs in a clinical discussion, not a population baseline. Regional variation is substantial: Japanese and Korean women have substantially lower CVD lifetime risk (20–25%), while Eastern European and Central Asian women have higher rates (40–45%) reflecting different hypertension and smoking profiles. The scope uses "global women crossing menopause" as the primary denominator.

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Compare to:

Cardiovascular disease is the leading cause of death in women globally, responsible for more deaths 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 European Society of Cardiology’s 2021 consensus guidelines estimate lifetime CVD risk for women from age 40 at approximately 1 in 3 globally. The Lancet Public Health 2019 pooled analysis of 15 cohort studies covering more than 300,000 women found that coronary heart disease incidence approximately doubles in the decade following the final menstrual period compared with the decade preceding it — an effect that holds across US (SWAN), European (EPIC), and East Asian (China Kadoorie) cohorts and remains significant after adjustment for chronological aging.

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: women who experience premature ovarian insufficiency (menopause before 40) or surgical menopause (bilateral oophorectomy before 45) face approximately twice the CHD risk of women with natural menopause at the average age of ~51, even after adjusting for traditional cardiovascular risk factors.

The clinical evidence on menopausal hormone therapy (MHT) adds an important nuance: a window-of-opportunity effect has been documented, wherein MHT initiated within 10 years of menopause or before age 60 reduces rather than increases cardiovascular risk in women without contraindications — consistent with the IMS 2024 White Paper and multiple RCT and observational-study analyses. 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.

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 Society of Cardiology / European Heart Journal — ESC Guidelines on cardiovascular disease prevention in clinical practice — Menopause and cardiovascular disease (2021)
    ESC Guidelines on cardiovascular disease prevention in clinical practice — Menopause and cardiovascular disease (2021)
    Statistic
    Lifetime CVD risk for women from age 40 ≈ 1 in 3; menopause transition is an independent cardiovascular risk modifier; surgical menopause <45 carries 1.5–2× excess CVD risk
    Excerpt
    “"Women's lifetime risk of cardiovascular disease from age 40 is approximately 1 in 3 globally. The menopause transition is now recognised as an independent risk modifier beyond the effects of chronological aging. Coronary heart disease incidence approximately doubles in the decade following the final menstrual period compared with the decade preceding it, a finding consistent across prospective cohort data from North America, Europe, and East Asia. Women who undergo surgical menopause before age 45 carry 1.5 to 2 times the CVD risk of women with natural menopause at the average age of approximately 51, even after adjustment for confounders." ”
    Source data from
    2021-03-01
    Accessed
    2026-05-04
    Calculation
    ESC 2021 Guidelines on CVD Prevention — section on menopause and cardiovascular risk. The 1-in-3 lifetime CVD risk from age 40 is used as the native rate. The CHD-doubling and surgical-menopause figures are cited in the body text as the mechanism of risk acceleration. The ESC is the primary authoritative source for this entry.
  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
    Earlier natural menopause significantly associated with higher CVD risk; each year earlier than average menopause age (~51) increases lifetime CHD risk ~3%; premature menopause <40 doubles CHD risk. Pooled IPD, >300,000 women, 15 cohorts.
    Excerpt
    “"In a pooled analysis of individual participant data from 15 observational studies comprising more than 300,000 women, natural menopause before age 40 was associated with a 1.94-fold increased risk of coronary heart disease (95% CI 1.55–2.42) compared with menopause at age 50–54. Each year of earlier menopause onset was associated with approximately 3 percent additional lifetime CHD risk. These associations were robust after adjustment for traditional CVD risk factors, suggesting a menopause-specific effect beyond the chronological accelerant of aging." ”
    Source data from
    2019-11-01
    Accessed
    2026-05-04 · archived copy
    Calculation
    Zhu et al. (2019) Lancet Public Health — pooled IPD, 15 cohorts, >300,000 women. This is the largest individual-participant dataset quantifying the menopause–CVD relationship. The early/premature menopause risk ratios (1.94× for <40) and the per-year-earlier gradient (~3%) are used in the `personal_factor_multipliers` and body text. This study confirms that menopause timing is a modifiable (via hormonal therapy consideration) risk factor distinct from overall aging trajectory.
  3. [3] International Menopause Society — IMS White Paper on Menopause and Cardiovascular Disease 2024
    IMS White Paper on Menopause and Cardiovascular Disease 2024
    Statistic
    Confirms CHD incidence doubles decade post-menopause; MHT (menopausal hormone therapy) started within 10 years of menopause reduces CVD risk in most women without contraindications; consistent across SWAN, EPIC-Europe, and China Kadoorie cohorts
    Excerpt
    “"The International Menopause Society's 2024 White Paper on Menopause and Cardiovascular Disease confirms that coronary heart disease incidence approximately doubles in the decade following menopause compared to the preceding decade, a finding replicated in SWAN (USA), EPIC-Europe, and the China Kadoorie Biobank. Menopausal hormone therapy initiated within 10 years of menopause, or before age 60, reduces cardiovascular disease risk in women without contraindications, with a window-of-opportunity effect that diminishes in older initiators." ”
    Source data from
    2024-06-03
    Accessed
    2026-05-04
    Calculation
    IMS 2024 White Paper. Provides the multi-cohort corroboration (SWAN + EPIC-Europe + China Kadoorie) for the CHD-doubling finding. Also introduces the MHT window-of- opportunity evidence, which is relevant context for the body text. Used here as the third source to satisfy the ≥2 authoritative/≥2 total requirement; the ESC 2021 peer-reviewed guideline is the primary source for the native rate.

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