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

What are the odds of dying from 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
5/5
D4 Uncertainty
4/5
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, global adult

1 in 7.1

14% lifetime chance

range 1 in 9.1 to 1 in 5.6

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 1.8 1 in 13

● your factors — click this risk ▾ to reveal

≈ As likely as

A single pale circular shape partially intersected by a thin line on a muted sand background, flat vector illustration.

Perceived

Cancer is one of the few fears where the public’s intuition is approximately correct. Chapman’s 2023 Survey of American Fears puts "people I love becoming seriously ill" at the #5 spot with 50.6% afraid or very afraid, and "people I love dying" at #6 with 50.4% — cancer is the modal driver of both. Most adults correctly file cancer as "one of the big ones", and the numbers back that up. This entry covers all-cause cancer death as a single aggregate; specific sites (lung, breast, colorectal, pancreatic) will get their own entries with their own very different risk profiles.

Rough estimate: Most adults intuit lifetime cancer death risk as roughly 1 in 5 to 1 in 10 — which is close to right

Source: Chapman University / The Voice of Wilkinson (2023) — The Top 10 Fears in America 2023 (Chapman Survey of American Fears, Wave 9)

Actual

~9.7 million cancer deaths per year globally (~1 in 6 of all deaths)

global, all ages, all cancer sites combined

Show derivation

Uses the IARC GLOBOCAN 2022 estimate of "close to 10 million deaths from cancer in 2022" (released 4 April 2024) as the canonical annual global cancer mortality figure, and the WHO cancer fact sheet figure of "nearly one in six deaths" worldwide as the cross-check. Taking ~9.7 million annual cancer deaths across a global adult population of ~5.5 billion (age 18+) gives an annual per-adult rate of ~1.76 per 1,000. Compounded naively over 60 years of remaining adult life: 1 - (1 - 0.00176)^60 ≈ 0.10. That is a floor, not a ceiling, because cancer incidence is heavily concentrated in older ages and the naive compounding treats risk as age-flat. Adjusting upward for the age distribution — most cancer deaths occur above age 60, so the hazard in the last third of adult life is several-fold higher than the average — yields a global lifetime mortality figure in the 14-17% range, consistent with (but slightly below) the American Cancer Society’s direct US estimate of ~17.2% for men and ~16% for women. The lower global figure reflects higher competing mortality from infectious disease, maternal/perinatal causes, and injury in low- and middle-income countries. Headline figure 0.14 (≈ 1 in 7) with an uncertainty band of 1 in 6 to 1 in 9 to reflect window and age-structure sensitivity. Scope is global-adult-lifetime rather than US-adult-lifetime because cancer burden varies meaningfully across development levels and the US-only number would overstate the global baseline.

Caveats: "Cancer" is roughly 200 distinct diseases grouped by a shared biological mechani…

"Cancer" is roughly 200 distinct diseases grouped by a shared biological mechanism and nothing else. Five-year survival ranges from under 15% (pancreatic, hepatic, oesophageal in most populations) to above 95% (localised prostate, thyroid, testicular), so the aggregate number is a scale marker, not a prognosis. This entry is mortality, not incidence: lifetime *incidence* of any cancer is roughly 1 in 2 in the US per ACS, and roughly 1 in 5 globally per GLOBOCAN cumulative-risk-0-74 figures. The mortality figure is smaller because cancer survivorship has improved substantially — in high-income countries the age-standardised cancer death rate has fallen by about one-third since 1990 even as absolute counts rise with population ageing. Specific-site cancers (lung, breast, colorectal, prostate, pancreatic) get their own Likelier entries with their own very different distributions.

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 1 in 7.1 ~9.7M cancer deaths/yr across ~8B people (IARC GLOBOCAN 2022)
United States (men) 1 in 5.8 ACS direct lifetime estimate from SEER data; ~1 in 6
United States (women) 1 in 6.3 ACS direct lifetime estimate from SEER data; ~1 in 6
Sub-Saharan Africa 1 in 11 Lower headline number because competing mortality (infectious disease, maternal, injury) removes adults from the denominator before they reach peak cancer-risk age; age-standardized cancer death rate is not meaningfully lower

Risks at similar odds

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

cancer

Lung cancer

What are the odds of dying from lung cancer?

cancer

Liver cancer

What are the odds of dying from liver cancer?

cancer

Charred meat & cancer

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

cancer

Red meat & CRC

How much does eating red or processed meat every day actually raise your colorectal cancer risk?

cancer

Melanoma (UV)

What are the odds of getting melanoma from regular unprotected sun exposure?

cancer

Prostate cancer

What are the odds of dying from prostate cancer?

cancer

Breast cancer

What are the odds of dying from breast cancer?

Health

Heart disease

What are the odds of dying from heart disease?

Compare to:

Cancer kills close to 10 million people a year worldwide according to the IARC’s GLOBOCAN 2022 release — “nearly one in six deaths”, in the World Health Organization’s framing. Spread across a global adult population and weighted by the age structure of when cancer actually kills people, that works out to roughly 1 in 7 as a lifetime mortality number for a generic adult alive today. The American Cancer Society’s direct US estimate from SEER data is tighter and higher: 17.2% for men, 16% for women, essentially 1 in 6 for both. Either way, cancer sits in the same order of magnitude as stroke and heart disease, and roughly 40× above homicide, 1,500× above an average US adult’s lifetime plane-crash risk, and several orders of magnitude above almost every other entry on this site.

The interesting feature of cancer in the Likelier catalogue is that it is the rare entry where the perceived risk and the actual risk roughly match. Chapman’s 2023 Survey of American Fears puts “people I love becoming seriously ill” at #5 (50.6% afraid or very afraid) and “people I love dying” at #6 (50.4%) — and cancer is the dominant driver of both. Most adults file cancer as “one of the big ones”, and the arithmetic agrees. That is unusual. The dominant pattern on this site is a wide gap between fear and frequency (shark attacks, plane crashes, terrorism, kidnapping) or a gap in the other direction (car crashes, falls, strokes, accidental overdose). Cancer is one of the few fears the public is approximately calibrated on, which makes it a useful anchor rather than a debunking target.

Where the number doesn’t apply: “cancer” is roughly 200 distinct diseases with wildly different prognoses and risk profiles. Pancreatic cancer five-year survival sits below 15%; localised prostate, testicular, and thyroid cancers sit above 95%. The aggregate hides almost everything interesting about the individual variance. Age dominates the hazard — a 70-year-old runs roughly 4× the annual cancer death rate of a 40-year-old — and a small number of modifiable inputs dominate the rest, with smoking the single largest lever in high-income countries. The regional gap is also real: Sub-Saharan Africa’s lifetime cancer mortality number sits lower than the US figure, but the age-standardised cancer death rate is not meaningfully lower. The gap exists because competing mortality removes many adults from the denominator before they reach peak cancer-risk age. One-line number: about 1 in 7 globally, about 1 in 6 in the US. Use it as a floor for the scale of the risk, not as personal advice.

Chronic back pain affects 80% of adults. Cancer affects ~40%. Back pain is the #1 cause of disability worldwide, yet no one holds a fundraising gala for lumbar disc disease.

Read more → ⇄ compare

Lifetime probability of depression: 20.6% (1 in 5). Lifetime probability of cancer: ~40%. Depression affects half as many people as cancer, yet receives roughly one-tenth the research funding per patient.

About 1 in 5 US adults will experience clinical depression in their lifetime (~21%). Cancer affects roughly 40%. Both are common; only one dominates the conversation about preparedness.

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] International Agency for Research on Cancer (IARC) / World Health Organization — New report on global cancer burden in 2022 by world region and human development level
    New report on global cancer burden in 2022 by world region and human development level

    See all 3 Likelier entries citing this source →

    Statistic
    Almost 20 million new cases of cancer and close to 10 million deaths from cancer in 2022 globally (GLOBOCAN 2022)
    Excerpt
    “"There were almost 20 million new cases of cancer and close to 10 million deaths from cancer in 2022." ”
    Source data from
    2024-04-04
    Accessed
    2026-04-11 · archived copy
    Calculation
    GLOBOCAN 2022 reports ~9.7 million global cancer deaths. Across ~5.5 billion adults (age 18+), that is ~1.76 per 1,000 adults per year. Naive 60-year compounding gives ~10%, but age-weighting (most cancer deaths occur above age 60) pulls the realistic lifetime figure into the 14-17% range. Rounded to 0.14 (≈ 1 in 7) as the global mid-point, bracketed by 1 in 9 on the optimistic side and 1 in 6 on the pessimistic side where it meets the direct US estimate.
    Independence
    IARC GLOBOCAN is the upstream dataset that WHO, ACS international comparisons, and the IHME Global Burden of Disease cancer module all draw from. Treat the IARC figure and the WHO cancer fact sheet below as partially dependent: they agree to one significant figure precisely because WHO republishes IARC headline numbers.
  2. [2] World Health Organization — Cancer — fact sheet
    Cancer — fact sheet
    Statistic
    Cancer accounted for nearly 10 million deaths in 2020, or nearly one in six deaths
    Excerpt
    “"Cancer is a leading cause of death worldwide, accounting for nearly 10 million deaths in 2020, or nearly one in six deaths." ”
    Source data from
    2025-02-03
    Accessed
    2026-04-11 · archived copy
    Calculation
    WHO’s "nearly one in six deaths" framing is used directly as the share-of-all-deaths cross-check. If total global deaths are ~60 million/year and cancer is 1/6 of those, that implies ~10 million — aligned with the IARC GLOBOCAN 2022 headline. Used as the plain-English framing in the long-form body text.
    Independence
    WHO cancer fact sheet republishes IARC/GLOBOCAN headline numbers; same upstream data pipeline as the first source. Included as the authoritative top-line institutional citation rather than as an independent verification.
  3. [3] American Cancer Society — Lifetime Probability of Developing or Dying From Cancer
    Lifetime Probability of Developing or Dying From Cancer

    See all 3 Likelier entries citing this source →

    Statistic
    Lifetime probability of dying from cancer in the US: 17.2% for men (≈ 1 in 6), 16% for women (≈ 1 in 6)
    Excerpt
    “"Men: Developing any cancer 39.9% (1 in 3); Dying from cancer 17.2% (1 in 6). Women: Developing any cancer 39.0% (1 in 3); Dying from cancer 16% (1 in 6)." ”
    Source data from
    2025-01-30
    Accessed
    2026-04-11 · archived copy
    Calculation
    ACS uses SEER incidence data (2018, 2019, 2021) and SEER mortality data (2020-2022) to compute direct lifetime probabilities from a life-table conditional on birth. ~17% US lifetime cancer death probability is the methodological gold standard for "direct" lifetime risk; it anchors the top of the Likelier uncertainty band. The global figure sits below the US figure because competing mortality in LMICs removes adults from the denominator before they reach peak cancer-risk age, not because cancer is "safer" globally.
    Independence
    SEER (NCI) and IARC (WHO) are independent compilation pipelines — SEER is US-only vital registration and population-based cancer registries, IARC aggregates national registry data worldwide. Comparing the two anchors the global-vs-US gap.
  4. [4] Our World in Data (Dattani, Samborska, Ritchie, Roser) — Cancer
    Cancer
    Statistic
    Around 10 million people died from cancer in 2021; around 15% of all deaths were cancer deaths
    Excerpt
    “"Around 10 million people died from cancer in 2021. [...] around 15% of all deaths were cancer deaths." ”
    Source data from
    2024-10-07
    Accessed
    2026-04-11 · archived copy
    Calculation
    OWID cites IHME Global Burden of Disease 2021 for the 10-million figure and the 15% share. That 15% (vs WHO’s "nearly one in six" ≈ 16.7%) is the tight cross-check on the headline order of magnitude. The age-standardized cancer death rate has fallen roughly one-third since 1990 in high-income countries, so the headline lifetime number is slowly drifting downward even as the absolute count rises with population aging.
    Independence
    OWID derives from IHME GBD, which is methodologically independent of IARC GLOBOCAN (IHME builds its own cause-of-death model from vital registration, verbal autopsy, and survey inputs). The two pipelines agree on ~10 million annual cancer deaths to one significant figure, which is the strongest cross-check available.

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