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Perceived fear vs. actual probability

What are the odds of experiencing domestic violence?

Lifetime probability · subgroup

~1 in 4

ever-partnered women globally experience physical/sexual IPV in a lifetime

27% lifetime chance

Most people underestimate this.

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

Crime · reviewed 2026-06-14
Evidence quality 4.13/5

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

D1 Source grounding
4/5
D2 Source authority
3/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.13/5
Direct evidence
Source Government statistic · World Health Organization (WHO)
lifetime, subgroup each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
A closed door with a thin line of light underneath, flat vector editorial illustration, muted palette.

Perceived

Intimate partner violence is widely acknowledged as a problem in the abstract but chronically underestimated as a personal risk. Most adults do not consider themselves likely victims — domestic violence is mentally filed as something that happens in other households, other socioeconomic brackets, other cultures. Media framing reinforces this by treating individual cases as shocking aberrations rather than manifestations of a one-in-three baseline. In many countries, cultural norms further suppress risk perception by framing partner violence as a private family matter rather than a crime. No rigorous multi-country survey of perceived personal risk exists.

Source: editorial intuition, not polled

Actual

~27% of ever-partnered women aged 15-49 have experienced physical/sexual IPV in their lifetime (WHO 2023)

Global, ever-partnered women aged 15-49, WHO multi-country data 2000-2023

Show derivation

WHO's Violence Against Women Prevalence Estimates 2023 report, analysing data from 168 countries between 2000 and 2023, finds that approximately 27% of ever-partnered women aged 15-49 have experienced physical and/or sexual intimate partner violence in their lifetime. The November 2025 update puts the absolute number at 840 million women. This is a directly measured lifetime prevalence from population-based surveys, not an extrapolation from annual rates. The 27% figure is for physical and/or sexual violence only; including psychological/emotional abuse raises prevalence substantially. The lifetime_us_adult field carries the global figure for schema compatibility under the global_adult_lifetime scope. Regional variation is substantial: from ~20% in the Western Pacific to ~33% in Africa and South-East Asia. The figure covers women only; male IPV victimization (estimated at ~1 in 9 to 1 in 7 in US data) is not captured in the WHO global estimates. Uncertainty band: low end reflects high-income-country estimates (~20%), high end reflects highest-prevalence regions (~35%) plus underreporting adjustment. Uncertainty band widened from the raw regional range (20–33%) to 15–45%: the low end accounts for the possibility that high-income- country rates are themselves overstated by retrospective survey design; the high end reflects the inclusion of psychological/emotional abuse, which is documented to push overall VAW prevalence to 45–50% in some national surveys.

Caveats: The WHO 27% figure covers physical and/or sexual violence by an intimate partner…

The WHO 27% figure covers physical and/or sexual violence by an intimate partner among ever-partnered women aged 15-49. It does not include psychological or emotional abuse, which would raise prevalence substantially. It also does not include male victims of IPV, who represent a significant minority of cases — CDC NISVS data estimate roughly 1 in 9 US men experience contact sexual violence, physical violence, or stalking by an intimate partner. The "ever-partnered" denominator excludes women who have never been in a relationship, which slightly inflates the rate compared to an all-women denominator. Regional variation is extreme: a woman in South-East Asia faces roughly 65% higher lifetime risk than one in the Western Pacific. Underreporting remains the dominant measurement problem — in many settings, partner violence is normalized and not recognized as reportable violence by either the victim or the community. Beyond baseline prevalence, emerging US work documents acute, situational spikes: Matsuzawa and Arnesen (2024, SSRN 4938642) find that legalized sports betting amplifies the short-term rise in reported IPV that follows an NFL home-team upset loss, with the effect concentrated in states that permit mobile betting, near paydays, and after losing wagers. This is an acute per-event effect on US incident rates, not a lifetime-risk multiplier, so it is not encoded as a personal factor against the global lifetime prevalence above.

Related risks

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Bicycle theft

What are the odds your bicycle gets stolen?

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Child sexual abuse

What are the odds a child will experience sexual abuse?

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Intimate-partner homicide

What are the odds of being killed by an intimate partner?

Compare to:

The World Health Organization’s Violence Against Women Prevalence Estimates 2023 — the most comprehensive global dataset on the subject, synthesizing survey data from 168 countries collected between 2000 and 2023 — finds that approximately 27% of ever-partnered women aged 15-49 have experienced physical and/or sexual violence by an intimate partner in their lifetime. On the broader combined measure of partner or non-partner sexual violence — WHO’s widely cited “nearly 1 in 3,” distinct from the narrower 27% intimate-partner-only rate above — an estimated 840 million women worldwide have been subjected to one or the other in their lifetime, a figure that the WHO describes as having “barely changed since 2000.” The 12-month prevalence stands at 11%, meaning that in any given year, roughly 316 million women are experiencing active victimization. These figures cover only physical and sexual violence; the inclusion of psychological and emotional abuse — controlling behavior, threats, economic coercion — would push prevalence considerably higher, though measurement of those categories is less standardized across countries.

Regional variation is substantial and tracks closely with broader gender-equality indicators. Lifetime IPV prevalence ranges from approximately 20% in the WHO Western Pacific region and 22% in high-income countries to 33% in the African and South-East Asian regions. The WHO Eastern Mediterranean region sits at 31%. These differences reflect not only true variation in violence rates but also differential willingness to disclose — in settings where partner violence is most normalized, survey respondents are least likely to identify their experiences as violence, creating a measurement paradox in which the highest-prevalence regions may also have the most severe undercount.

That broader “1-in-3” figure has become one of public health’s most recognizable statistics, and even the narrower, intimate-partner-specific 27% rate above coexists with a perception gap that runs in the wrong direction. Most adults assess their own IPV risk as near zero — domestic violence is cognitively outsourced to other households, other demographics, other countries. The WHO data suggest this is a miscalibration: even in high-income countries with comparatively strong legal protections, roughly 1 in 5 ever- partnered women report lifetime IPV. The figures here cover women only, as the WHO global estimates do not systematically measure male victimization. CDC data from the United States suggest that roughly 1 in 9 men experience contact sexual violence, physical violence, or stalking by an intimate partner in their lifetime — a figure that receives far less policy attention and is effectively invisible in global public-health messaging.

Roughly 1 in 4 ever-partnered women globally experience physical or sexual intimate-partner violence in a lifetime, per WHO's 2023 estimates. That counts physical and sexual abuse only; adding psychological abuse raises the figure substantially.

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.

1/3 sources independently verified verbatim against the cited source

  1. [1] World Health Organization (WHO) — Violence Against Women Prevalence Estimates, 2023
    Violence Against Women Prevalence Estimates, 2023
    Statistic
    27% of ever-partnered women aged 15-49 have experienced physical/sexual IPV globally
    Excerpt
    “"Worldwide, almost one third (27%) of women aged 15-49 years who have been in a relationship report that they have been subjected to some form of physical and/or sexual violence by their intimate partner." ”
    Source data from
    2025-11-19
    Accessed
    2026-04-24 · archived copy
    Calculation
    Primary global lifetime prevalence from WHO's most comprehensive report, synthesizing data from 168 countries (2000-2023). 27% of ever-partnered women = 0.27 lifetime prevalence. Used directly as lifetime_us_adult under global_adult_lifetime scope. Note: the lifetime_us_adult field carries a global ever-partnered-women figure, not a US-specific or all-adults figure, per the global_adult_lifetime scope.
    Independence
    All three sources (report, press release, fact sheet) are WHO publications released on the same date drawing on the same underlying dataset. They provide different facets (full report, headline figures, regional breakdown) but are not independent data sources.
  2. [2] World Health Organization (WHO) — Lifetime toll: 840 million women faced partner or sexual violence Verified
    Lifetime toll: 840 million women faced partner or sexual violence
    Statistic
    840 million women globally have experienced partner or sexual violence; 316 million in the past 12 months
    Excerpt
    “"Nearly 1 in 3 women – estimated 840 million globally – have experienced partner or sexual violence during their lifetime, a figure that has barely changed since 2000. In the last 12 months alone, 316 million women – 11% of those aged 15 or older – were subjected to physical or sexual violence by an intimate partner." ”
    Source data from
    2025-11-19
    Accessed
    2026-04-24 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Press release accompanying the 2023 prevalence report. The "nearly 1 in 3" headline includes both IPV and non-partner sexual violence combined. The IPV-only figure is 27%; adding non-partner sexual violence brings the combined total to ~31%. The 12-month prevalence of 11% confirms ongoing incidence, not just historical accumulation.
    Independence
    WHO press release accompanying source 1; same underlying dataset, not an independent data source.
  3. [3] World Health Organization (WHO) — Violence against women — Key facts
    Violence against women — Key facts
    Statistic
    Prevalence ranges from 20% in Western Pacific to 33% in African and South-East Asian regions
    Excerpt
    “"The prevalence estimates of lifetime intimate partner violence range from 20% in the Western Pacific, 22% in high-income countries and Europe and 25% in the WHO Regions of the Americas to 33% in the WHO African region, 31% in the WHO Eastern Mediterranean Region, and 33% in the WHO South-East Asia region." ”
    Source data from
    2025-11-19
    Accessed
    2026-04-24 · archived copy
    Calculation
    Regional breakdown supporting the uncertainty band. Low end (0.20) anchored to Western Pacific estimate; high end (0.35) anchored slightly above the African/ South-East Asian peak of 33% to account for underreporting in the highest- prevalence regions. The 22% for high-income countries contextualizes the US- specific figure relative to the global average.
    Independence
    WHO fact sheet drawing on the same prevalence report as sources 1 and 2; not an independent data source.

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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