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Perceived fear vs. actual probability

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

Lifetime probability · subgroup

~1 in 2,400

0.04% lifetime chance

Most people underestimate this.

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

Crime · reviewed 2026-05-16
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
Source Government statistic · United Nations Population Fund (UNFPA)
lifetime, subgroup each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
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

up to ~5,000 per year globally (UN estimate)

Global adults (~5 billion)

Show derivation

UNFPA (2000) cites "up to 5,000" honor killings per year globally as an upper-bound estimate, and WHO (2012) repeats the ~5,000 figure. Peer-reviewed and NGO sources (sources 2 and 3) argue the true toll is substantially higher 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 figure (which UNFPA frames as "up to 5,000") 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 UNFPA "up to 5,000"/year figure dates to 2000 and has not been systematically updated; peer-reviewed and NGO work argues the true toll is substantially higher because of this misclassification. The risk is effectively zero for most of the global population and acutely elevated for women in specific cultural and geographic contexts.

Related risks

Other risks on similar themes — for exploring related fears.

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Fatal police encounter

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Health

Unsafe wiring

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Acid attack

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Domestic violence

What are the odds of experiencing domestic violence?

Transport

Teen road-crash death

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

Crime

Homicide

What are the odds of being murdered in the US?

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 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 countries where the practice has been studied systematically — including Pakistan, Jordan, and Turkey. 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 broader female-homicide count is larger still and just as poorly disaggregated: the joint UNODC/UN Women “Femicides in 2023” report put the global total of women and girls killed intentionally at approximately 85,000 in 2023, of which 60 percent (about 51,000) were killed by intimate partners or other family members, without breaking out honor killings as a distinct subcategory. 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 (where court-reported Pakistani cases run into the low thousands even before accounting for misclassification), 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.

For women in high-prevalence regions the lifetime risk of an honor killing is about ~1 in 2,400 lifetime, from a UN floor of ~5,000 deaths a year worldwide. Averaged across all global adults the rate is far lower, but that average hides a sharply concentrated risk.

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.

2/4 sources independently verified verbatim against the cited source

  1. [1] United Nations Population Fund (UNFPA) — State of World Population 2000
    State of World Population 2000
    Statistic
    Up to 5,000 women and girls killed annually in honor-related violence worldwide (UNFPA upper-bound estimate)
    Excerpt
    “"Each year 2 million girls are at risk of genital mutilation, and up to 5,000 women and girls are the victims of so-called 'honour' killings." ”
    Source data from
    2000-01-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    Primary annual figure: up to 5,000 deaths/year — the foundational UNFPA estimate from the State of World Population 2000 launch. UNFPA frames 5,000 as an upper bound ("up to"), while later peer-reviewed and NGO work (sources 2 and 3) argues it is a severe undercount. 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 Verified
    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
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    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 — evidence of the gap between officially recorded and actual cases. The SAGE Journals source (source 3) records the NGO worldwide upper estimate of ~20,000/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 Verified
    For the Sake of Family and Tradition: Honour Killings in India and Pakistan
    Statistic
    UNFPA estimates up to 5,000 honor killings of women and girls annually worldwide; some NGOs estimate as many as 20,000 annually worldwide
    Excerpt
    “"The United Nations Population Fund (UNFPA) estimates that the annual worldwide number of honour killings is as high as 5,000 women and girls, though some non-governmental organizations (NGOs) estimate as many as 20,000 honour killings annually worldwide." ”
    Source data from
    2020-01-01
    Accessed
    2026-07-01 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Peer-reviewed source (D'Lima, Solotaroff & Pande 2020) confirming both bounds of the uncertainty band: the UNFPA ~5,000/year worldwide floor and the ~20,000/year worldwide NGO upper estimate. The 4× spread between the official UNFPA figure and the NGO estimate (5,000 → 20,000) is the basis for the upper uncertainty bound: 20,000 / 5,000,000,000 = 4.0e-6/year → lifetime ≈ 2.36e-4.
  4. [4] UN Women and UNODC — Femicides in 2023: Global Estimates of Intimate Partner/Family Member Femicides
    Femicides in 2023: Global Estimates of Intimate Partner/Family Member Femicides
    Statistic
    85,000 women and girls killed intentionally worldwide in 2023; 60% (about 51,000) killed by intimate partners or other family members
    Excerpt
    “"Globally, 85,000 women and girls were killed intentionally in 2023 and that 60 per cent of these homicides – 51,000 – were committed by intimate partners or other family members." ”
    Source data from
    2024-11-25
    Accessed
    2026-07-04 · archived copy
    Calculation
    Used only for body-text context on the broader female-homicide/femicide data landscape and the gap between total femicide counts and honor-killing-specific tracking; not used in this entry's native/ normalized calculation, which relies on the UNFPA/WHO/peer-reviewed honor-killing-specific figures above. This joint UNODC/UN Women brief is a distinct product from UNODC's separate "Global Study on Homicide" series and does not itself disaggregate honor killings as a named subcategory.
    Independence
    UNODC/UN Women femicide estimates are compiled from national crime and mortality statistics, separately from the honor-killing-specific UNFPA/ peer-reviewed literature cited above; used here for broader context only.

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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