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Crime · reviewed 2026-05-16

What are the odds of being killed in an honor crime?

Evidence quality 4.13/5

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

D1 Source grounding
3/5
D2 Source authority
4/5
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

Lifetime probability · lifetime, subgroup

1 in 2,381

0.04% lifetime chance

Most people underestimate this.

range 1 in 5,000 to 1 in 417

lifetime, subgroup each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B

≈ As likely as

A wilted flower placed on a worn stone surface, flat vector editorial illustration, muted palette.

Perceived

In Western countries, honor killings register as a distant, culturally exotic phenomenon — something that happens elsewhere, to other people. In the countries and diaspora communities where the practice actually concentrates, it is often not perceived as "killing" at all but as a legitimate social sanction, which suppresses both reporting and victim perception of personal risk. Survey data on perceived personal risk are essentially nonexistent; the knowledge gap runs in both directions.

Source: editorial intuition, not polled

Actual

~5,000 per year globally (UN estimate; likely a floor)

Global adults (~5 billion)

Show derivation

UNFPA (2000) and WHO (2012) both cite approximately 5,000 honor killings per year globally, explicitly noting this is a low estimate due to systematic misclassification of cases as accidents, suicides, or undetermined deaths. Honor killings are overwhelmingly concentrated among women in South Asia (Pakistan, India, Bangladesh, Afghanistan), MENA (Iraq, Jordan, Syria, Turkey, Iran), parts of Sub-Saharan Africa, and associated diaspora communities. The at-risk population — women living in cultural contexts where the practice has social sanction — is estimated at roughly 600–800 million. Using 700 million as the central estimate: annual rate = 5,000 / 700,000,000 = 7.14 × 10⁻⁶. Compounded over 59 years: 1 − (1 − 7.14 × 10⁻⁶)⁵⁹ ≈ 4.2 × 10⁻⁴. The global-adult average (5,000 / 5B × 59yr = 5.9 × 10⁻⁵ or ~1 in 17,000) is nearly meaningless because it averages a concentrated risk across billions of people who face effectively zero risk. The subgroup framing is the honest representation. The uncertainty band spans the 5,000/yr UN floor to the 20,000/yr NGO upper estimate, crossed with 500M–1B at-risk population estimates.

Caveats: The global-average figure is nearly meaningless at the individual level. Honor-r…

The global-average figure is nearly meaningless at the individual level. Honor-related killings are geographically and demographically concentrated — primarily in parts of South Asia (Pakistan, India, Bangladesh), the Middle East and North Africa, and diaspora communities in Western Europe. The victims are overwhelmingly women and girls (90%+), typically for perceived sexual or behavioral transgressions including refusing an arranged marriage, extramarital relationships, or — in a grotesque circularity — having been raped. The misclassification problem is severe: studies from Jordan, Pakistan, and Turkey find that a large share of cases are recorded as suicides or accidents by official systems, making the true toll unknowable. The 5,000/year UN figure dates to 2000 and has not been systematically updated; it is better treated as a minimum than an estimate. The risk is effectively zero for most of the global population and acutely elevated for women in specific cultural and geographic contexts.

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 (all adults) 1 in 16,949 Diluted across 5B adults; nearly meaningless individually
Women in Pakistan 1 in 333 ~5,000 cases/yr in Pakistan alone per NGO estimates; ~110M women
Women in MENA 1 in 2,000 Intermediate prevalence; severe underreporting
US/Western Europe (general population) 1 in 200,000 Effectively zero outside diaspora communities

Risks at similar odds

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

Crime

Intimate-partner homicide

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Crime

Fatal police encounter

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Crime

Dowry death

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Health

Unsafe wiring

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Crime

Acid attack

What are the odds of being a victim of an acid attack?

Other

War (civilian)

What are the odds of dying as a civilian in war?

food

Food poisoning (US)

What are the odds of dying from food poisoning?

Transport

Teen road-crash death

How likely is a teenager (15–19) to die in a road-traffic crash during those years?

Compare to:

The United Nations Population Fund placed the global annual toll of honor killings at approximately 5,000 women and girls in its State of World Population 2000 report, a figure that has been cited by WHO and UN Women in subsequent decades. Peer-reviewed reviews of the evidence describe this as a severe undercount: a substantial share of cases are officially recorded as suicides, accidents, or undetermined deaths in every country where the practice has been studied systematically — including Pakistan, Jordan, Turkey, and Iraq. Field estimates from NGOs operating in these regions run three to four times higher, suggesting a global toll that could plausibly exceed 20,000 per year. The UNODC’s Global Study on Homicide classifies honor killing as a subcategory of intentional homicide but does not disaggregate it reliably from its broader femicide counts, which recorded 85,000 female homicides globally in 2023. The data problem, in short, is structural: the same social systems that produce these killings also classify them away.

The perceived-risk gap here is not that people overestimate the danger — it is that the subject barely registers as a personal risk category for most of the global population, while remaining a matter of life and death for specific communities. The misclassification dynamic means that in high-prevalence contexts, victims may not even frame their situation in terms of personal risk until the threat is immediate. The distribution is almost entirely among women and girls — estimates consistently put female victims at 90% or more of the total — for perceived violations of behavioral or sexual norms that include refusing an arranged marriage, being seen with an unrelated male, or having been sexually assaulted. The perpetrators are overwhelmingly male family members, and the violence is often planned and communal rather than impulsive.

For women in the regions where honor killings concentrate, the lifetime figure is roughly 1 in 2,400 — a number that reflects the at-risk subgroup of ~700 million women, not a diluted global average. The risk concentrates in South Asia (Pakistan estimates alone suggest the global 5,000 floor may pertain only to that country), the Middle East and North Africa, and diaspora communities in Western Europe. Within those geographies, the relevant denominator is not “all adults” but “women in communities where the practice has social sanction” — a population that is much smaller and faces a correspondingly much higher absolute risk. The headline figure is recorded here for completeness and comparability; readers in high-prevalence contexts should treat it as an average computed over a population that mostly faces no risk at all.

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] United Nations Population Fund (UNFPA) — State of World Population 2000
    State of World Population 2000
    Statistic
    At least 5,000 women and girls killed annually in honor-related violence worldwide
    Excerpt
    “"At least 5,000 women and girls are killed every year in the name of 'honour' by members of their own families. Many cases go unreported and unprosecuted." ”
    Source data from
    2000-01-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    Primary annual figure: 5,000 deaths/year. This is the foundational UN estimate, replicated in subsequent WHO and UN Women documents. Applied to 5 billion global adults: 1.0e-6/year. Lifetime (59 yr): 1 − (1 − 1.0e-6)^59 ≈ 5.9e-5.
  2. [2] International Journal of Environmental Research and Public Health / PMC — Honor Killings in the Eastern Mediterranean Region: A Narrative Review
    Honor Killings in the Eastern Mediterranean Region: A Narrative Review
    Statistic
    WHO estimate of ~5,000 honor murders/year worldwide; Pakistan: 4,101 honor crime cases reported to courts 1998–2003; 869 cases in 2013, ~1,000 in 2014, 1,100 in 2015; Jordan: 50 honor killings 2000–2010
    Excerpt
    “"According to the World Health Organization (WHO) in 2012, it was estimated that around 5000 murders occur each year worldwide in the name of honor. … A total of 4101 cases of honor crimes have been reported to the court in the period between 1998 and 2003 [in Pakistan]. … in 2013, 869 cases of HK were reported, while in 2014, it was estimated as 1000 cases, and in 2015, there were 1100 cases. … In Jordan, 50 HKs were reported between the years 2000 and 2010." ”
    Source data from
    2023-01-04
    Accessed
    2026-04-24 · archived copy
    Calculation
    Peer-reviewed review corroborating the 5,000 floor (attributed to WHO 2012, not UNFPA as sometimes cited). Pakistan's court-reported data (869–1,100/year in 2013–2015) represents only cases that reach courts. The SAGE Journals source (source 3) puts the field estimate for Pakistan alone at ~5,000/year, supporting a substantial undercount multiplier. The high end of the uncertainty band uses a 4× multiplier: 20,000 / 5,000,000,000 = 4.0e-6/year → lifetime ≈ 2.36e-4.
  3. [3] South Asia Research (SAGE Journals) — For the Sake of Family and Tradition: Honour Killings in India and Pakistan
    For the Sake of Family and Tradition: Honour Killings in India and Pakistan
    Statistic
    Pakistan officially records 1,000+ honor killings per year; field estimates suggest ~5,000 in Pakistan alone
    Excerpt
    “"In Pakistan, official NHRC data record over 1,000 honour killings annually; however, field-based studies and NGO reports consistently put the true figure closer to 5,000 per year for Pakistan alone, indicating severe underreporting at the official level." ”
    Source data from
    2020-01-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    Used for regional contextualization. If Pakistan alone sees ~5,000 actual cases, the global 5,000 total is clearly a floor. Supports the 4× undercount multiplier applied in the upper uncertainty bound.

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