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Cancer · reviewed 2026-04-11

What are the odds of dying from breast cancer?

Evidence quality 4.88/5

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
4/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 59

1.7% lifetime chance

range 1 in 77 to 1 in 38

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 15 1 in 98

● your factors — click this risk ▾ to reveal

≈ As likely as

A single pale circular shape softly overlapping a smaller circle on a muted rose-grey background, flat vector illustration.

Perceived

Breast cancer is the single most-feared disease in several women’s health surveys. A 2005 Society for Women’s Health Research poll found 22% of women named it the disease they feared most, ahead of heart disease despite the latter killing roughly seven times as many women. Almost everyone has heard the "1 in 8" figure — but that figure is the lifetime probability of *diagnosis*, not death. Public intuition reliably conflates the two, which is why breast cancer lives in the "calibrated about diagnosis, wrong about mortality" bucket.

Rough estimate: Most adults quote 1 in 8 and implicitly read it as a death rate

Source: The Newtown Bee (reporting Society for Women's Health Research survey) (2005) — Women Most Fear Cancer, But Heart Disease Is The Top Killer

Actual

~670,000 breast cancer deaths per year globally (women)

global women, all ages

Show derivation

WHO reports ~670,000 global breast cancer deaths per year against an adult female population of roughly 3-4 billion, which gives an annual per-woman hazard near 1.7 per 10,000. Age-weighted over ~60 years of remaining adult life (most breast cancer deaths occur between ages 50 and 74, so the hazard in the second half of adult life is several-fold higher than the flat average), the implied global lifetime breast-cancer mortality for women sits around 1.5-2.0%. The American Cancer Society’s direct SEER-based estimate for US women is 2.3% (~1 in 43) — higher than the global figure primarily because competing mortality in low- and middle-income countries removes many women from the denominator before they reach peak breast-cancer age, not because breast cancer is "safer" in LMICs; case fatality is in fact worse there due to later diagnosis. Headline figure 0.017 (≈ 1 in 59) for the global women baseline, with an uncertainty band reaching up to the US direct estimate of ~0.023. Men are excluded from this headline (see regional breakdown) because their risk is roughly 100× lower and folding both sexes into one number hides the relevant asymmetry. Scope is global-adult-lifetime.

Caveats: This entry is lifetime *mortality* from breast cancer, not incidence. The widely…

This entry is lifetime *mortality* from breast cancer, not incidence. The widely quoted "1 in 8" figure is the lifetime probability a US woman will be *diagnosed* with invasive breast cancer; the lifetime probability she will *die* of it is about 1 in 43 per ACS — roughly 5.5× smaller. The diagnosis/death gap is the single most consistent perception mistake visitors make on this site. Survival also depends heavily on stage at diagnosis: SEER’s 5-year relative survival is 100% for localized disease (~64% of cases), 87% for regional spread, and 33% for distant metastases, so the aggregate number smooths over a very uneven outcome distribution. Male breast cancer exists but is roughly 100× rarer and is excluded from the headline number — see the regional breakdown for the male-specific figure.

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, women 1 in 59 ~670K deaths/yr across ~3.5B adult women (WHO / IARC GLOBOCAN 2022)
US women 1 in 43 ACS direct SEER-based estimate: ~1 in 43 lifetime death, alongside ~1 in 8 lifetime diagnosis
East Africa / LMIC women 1 in 45 Lower age-standardized incidence than high-income countries but meaningfully higher case-fatality due to late-stage diagnosis; the two effects roughly cancel and the lifetime death figure is comparable to the US
Men (all regions) 1 in 3,333 Male breast cancer is ~100× rarer; roughly 0.5-1% of all breast cancers occur in men

Risks at similar odds

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

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Ovarian cancer

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Prostate cancer

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Cervical cancer

What are the odds of developing cervical cancer?

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Liver cancer

What are the odds of dying from liver cancer?

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Charred meat & cancer

How much does eating charred or well-done grilled meat actually raise your cancer risk?

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Colorectal cancer

What are the odds of dying from colorectal cancer?

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Low-fiber CRC risk

What are the odds of getting colorectal cancer from not eating enough fiber?

Compare to:

The headline everyone knows is “1 in 8”, and the headline is correct — for diagnosis. The lifetime probability that a US woman will be diagnosed with invasive breast cancer is about 13%, or roughly one in eight. The lifetime probability that a US woman will die of breast cancer is about 1 in 43 (2.3%), per the American Cancer Society’s direct SEER-based estimate. The gap between those two numbers — a factor of roughly 5.5 — is the single most consistent perception mistake on this site. Globally, across ~3.5 billion adult women and ~670,000 breast-cancer deaths per year in WHO’s GLOBOCAN 2022 numbers, the lifetime-mortality figure for a generic woman alive today sits around 1.5-2.0%, or roughly 1 in 59.

The reason the gap exists is survivorship. SEER reports a 5-year relative survival of 91.7% across all female breast cancer in the US, and 100% for localized disease, which is about 64% of new diagnoses at the point of detection. Regional spread drops survival to 87%, and distant metastatic disease to 33% — the aggregate number hides a very uneven stage distribution, and “breast cancer” in a wealthy country with compliant screening is a very different prognostic entity than “breast cancer” diagnosed at stage IV. This is also why the regional story is subtle: age- standardized breast-cancer incidence is lower in much of sub-Saharan Africa and South Asia than in North America, but case fatality is meaningfully higher because diagnosis is later, and the two effects roughly cancel in the lifetime-mortality number.

Where the headline doesn’t apply. The sharpest risk elevation is genetic: carriers of a pathogenic BRCA1 or BRCA2 variant run a lifetime breast-cancer risk near 70% versus the ~13% baseline, per ACS — roughly 5× absolute incidence. The subgroup is real but small, affecting perhaps one woman in 400-500 in the general population; most breast cancer is not in BRCA carriers. First-degree family history roughly doubles baseline risk; dense breast tissue adds about 50%. Men are not zero — roughly 0.5-1% of breast cancers occur in men per WHO, which works out to about 1 in 800 US men diagnosed in their lifetime, but the overall male lifetime mortality figure sits around 3 in 10,000, nearly 100× lower than for women. The honest one-line summary: a diagnosis number close to 1 in 8 for US women, a death number close to 1 in 43 for US women and 1 in 59 for women globally. If you were going to remember one thing from this page, it should be which of those two numbers the “1 in 8” actually is.

Lung cancer kills more women annually than breast cancer, yet receives a fraction of the awareness funding and cultural attention. Pink ribbons outsell awareness of the actual leading cancer killer across genders.

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] World Health Organization — Breast cancer — fact sheet
    Breast cancer — fact sheet
    Statistic
    2.3 million women diagnosed with breast cancer and 670,000 deaths globally in 2022
    Excerpt
    “"In 2022, there were an estimated 2.3 million women diagnosed with breast cancer and 670 000 deaths globally. [...] Approximately 99% of breast cancers occur in women and 0.5-1% of breast cancers occur in men." ”
    Source data from
    2024-03-13
    Accessed
    2026-04-11 · archived copy
    Calculation
    WHO republishes IARC GLOBOCAN 2022 breast-cancer totals: ~2.3M new cases and ~670K deaths among women per year. Divided naively across ~3.5B adult women worldwide that is ~1.9 per 10,000 per year. Age-weighting (most breast cancer deaths occur between 50 and 74) puts the realistic cumulative lifetime mortality near 1.5-2% globally, consistent with — and slightly below — the ACS direct US estimate of ~2.3%.
    Independence
    WHO breast-cancer fact sheet republishes IARC GLOBOCAN headline numbers. Treat as partially dependent with any other IARC-derived source; used here as the authoritative top-line institutional citation.
  2. [2] American Cancer Society — How Common Is Breast Cancer?
    How Common Is Breast Cancer?
    Statistic
    Lifetime US female risk of developing breast cancer ~13% (1 in 8); lifetime risk of dying from breast cancer ~2.3% (1 in 43)
    Excerpt
    “"Overall, the average risk of a woman in the United States developing breast cancer sometime in her life is about 13%. This means there is a 1 in 8 chance she will develop breast cancer. [...] The chance that any woman will die from breast cancer is about 1 in 43 (about 2.3%)." ”
    Source data from
    2025-01-16
    Accessed
    2026-04-11 · archived copy
    Calculation
    ACS gives both figures explicitly. Lifetime incidence 13% (1 in 8) and lifetime mortality 2.3% (1 in 43) — a roughly 5.5× gap between diagnosis and death. This is the single most important calibration point on the page: most readers quote "1 in 8" as if it were a death rate, when it is in fact the *incidence* rate. The US 2.3% anchors the upper end of the global uncertainty band.
    Independence
    ACS derives its US lifetime-probability figures from SEER incidence and mortality data (NCI). SEER is a population-based cancer registry pipeline methodologically independent of IARC GLOBOCAN, which compiles national registry data globally.
  3. [3] National Cancer Institute / SEER Program — Cancer Stat Facts: Female Breast Cancer
    Cancer Stat Facts: Female Breast Cancer
    Statistic
    5-year relative survival 91.7%; localized-stage 5-year survival 100.0%; ~13.0% lifetime risk of diagnosis
    Excerpt
    “"Approximately 13.0 percent of women will be diagnosed with female breast cancer at some point during their lifetime, based on 2018-2021 data. [...] The 5-year relative survival for females with breast cancer is 91.7%, based on SEER 21 data from 2015-2021." ”
    Source data from
    2025-04-17
    Accessed
    2026-04-11 · archived copy
    Calculation
    SEER is the primary US surveillance dataset feeding the ACS lifetime-probability figures above. The 91.7% 5-year relative survival — and the 100% figure for localized-stage disease, which is ~64% of new diagnoses — is the mechanism that makes the diagnosis/death gap so large. Most breast cancer diagnosed in wealthy countries is not a death sentence.
    Independence
    SEER is the upstream data source that ACS cites; treat these two as partially dependent. SEER is included as the authoritative primary-pipeline citation.
  4. [4] American Cancer Society — Breast Cancer Risk Factors You Cannot Change
    Breast Cancer Risk Factors You Cannot Change
    Statistic
    BRCA1/BRCA2 pathogenic variant carriers: ~70% lifetime breast cancer risk by age 80
    Excerpt
    “"On average, a woman with a BRCA1 or BRCA2 gene mutation has up to a 7 in 10 chance of getting breast cancer by age 80." ”
    Source data from
    2024-12-19
    Accessed
    2026-04-11 · archived copy
    Calculation
    ~70% lifetime breast cancer risk for BRCA1/BRCA2 carriers vs ~13% baseline for US women = roughly 5× absolute incidence elevation. BRCA pathogenic variants affect roughly 1 in 400-500 women in the general population, so the subgroup is real but small; the great majority of breast cancer occurs in non-carriers. Used to calibrate the personal_factor_multipliers block below.
    Independence
    ACS BRCA guidance synthesises results from the BRCA1/2 cohort literature (BCLC, kConFab, CARRIERS, etc.). Addresses genetic subgroup risk rather than the population-level mortality headline, so is methodologically distinct from the WHO/IARC and SEER pipelines above; used only to calibrate the personal-factor multipliers.

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