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Crime · reviewed 2026-05-16

What are the odds of dying from dowry-related violence in India?

Evidence quality 4.0/5

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

D1 Source grounding
3/5
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 4.0/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 13,158

0.008% lifetime chance

Most people underestimate this.

range 1 in 25,000 to 1 in 4,348

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

≈ As likely as

A set of scales weighted unevenly on a warm-toned background, flat vector editorial illustration.

Perceived

Outside South Asia, dowry deaths occupy a peculiar position in global awareness — well-known as a concept, poorly understood in scale. Within India, the practice is normalized enough in some communities that victims' families may accept official misclassification of a death as "accidental" or "kitchen fire" without challenge. Perception of personal risk among Indian women varies dramatically by education, region, and socioeconomic status; no population-level survey of perceived dowry-death risk appears to exist.

Source: editorial intuition, not polled

Actual

~6,450 officially recorded dowry deaths in India in 2022 (NCRB)

Indian women, all ages

Show derivation

NCRB 2022 data: 6,450 officially recorded dowry deaths in India. India's female population is approximately 700 million. Annual rate per Indian woman: 6,450 / 700,000,000 = 9.2e-6. Compounded over a 35-year exposure window (women aged 15–50, the concentrated risk period): 1 − (1 − 9.2e-6)^35 ≈ 3.2e-4, or roughly 1 in 3,100 for an Indian woman over the peak risk years. IndiaSpend documents systematic misreporting of dowry deaths as accidents; applying a conservative 3× underreporting multiplier (~19,000/year) would push the Indian-woman subgroup figure to roughly 1 in 1,050 over the at-risk period. The normalized.lifetime_us_adult field carries a global-adult-comparable figure for schema compatibility: 6,450 global deaths / 5,000,000,000 global adults × 59 years ≈ 7.6e-5. Adjusted for likely underreporting (3× multiplier): ~2.3e-4. The schema value uses the conservative official count applied globally. The subgroup rate for Indian women is roughly 400× higher than this global average. See caveats.

Caveats: The normalized.lifetime_us_adult value here is a schema-compatibility figure rep…

The normalized.lifetime_us_adult value here is a schema-compatibility figure representing the global adult average — it is not a meaningful personal risk estimate. The relevant denominator for this entry is Indian women, specifically those who are or will be married in communities where dowry is practiced. For that subgroup, the official NCRB rate yields a 35-year exposure probability of roughly 1 in 3,100; with underreporting adjustments it plausibly rises to roughly 1 in 1,050. The geographic concentration is stark: four states — Uttar Pradesh, Bihar, Madhya Pradesh, and Rajasthan — account for nearly 65% of all recorded cases. India criminalized the demand for dowry under the Dowry Prohibition Act 1961 and codified dowry death under IPC Section 304B in 1986; enforcement remains highly uneven. The practice is nearly absent in South Indian states (Kerala, Tamil Nadu) and concentrated in North and Central India. Misclassification as kitchen accidents or suicides is documented extensively and makes any count a floor. This entry covers fatal dowry violence only; non-fatal harassment, coercion, and physical assault are orders of magnitude more common and are tracked separately under the broader domestic-violence category.

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Compare to:

India’s National Crime Records Bureau logged 6,450 dowry deaths in 2022 — a figure that represents only officially registered cases under Section 304B of the Indian Penal Code, which requires a death to occur within seven years of marriage in circumstances connected to dowry demands. A peer-reviewed surveillance study covering 2001–2018 independently confirmed a rate of approximately 2.0 per 100,000 women aged 15–49 in 2018, with 137,627 total dowry death cases reported over the 18-year period — broadly consistent with the NCRB administrative count. Applied to Indian women over the 35-year concentrated risk window (ages 15–50), official figures yield a cumulative probability of roughly 1 in 3,100. IndiaSpend’s analysis documents systematic misclassification of dowry deaths as kitchen accidents, suicides, and undetermined causes — a pattern evidenced by 15 states registering more dowry deaths than harassment cases in 2022. Applying a conservative 3x underreporting multiplier, the adjusted subgroup probability rises to approximately 1 in 1,050 for an Indian woman over the at-risk period.

India prohibited dowry demands under the Dowry Prohibition Act 1961, made dowry death a specific criminal offence in 1986, and has progressively strengthened related provisions — yet the NCRB count has remained stubbornly above 6,000 per year for most of the past two decades. The gap between law and enforcement is well-documented: police registration of cases is inconsistent, in-laws frequently pressure victims’ families to accept accident or suicide rulings, and the seven-year legal timeframe for invoking Section 304B leaves out cases where harassment accumulates over longer marriages. Low-SDI states record rates of 3.1 per 100,000 women — more than four times the rate in high-SDI states (0.7) — and the first years of marriage, when dowry pressure is highest, represent the peak risk period. Uttar Pradesh and Bihar alone account for roughly half of all recorded deaths. South Indian states (Kerala, Tamil Nadu, Andhra Pradesh) show dramatically lower rates, suggesting that the practice and its lethal consequences are not uniform across the country.

For the vast majority of the world’s population, the personal risk is effectively zero — the global-adult-average figure in the schema header is a diluted accounting identity, not a useful personal estimate. The meaningful frame is Indian women in communities where dowry is practiced, particularly in North and Central India. Within that population, the risk is comparable in magnitude to the US intimate-partner homicide rate for women and is concentrated in a narrow life stage. Non-fatal dowry-related violence — harassment, coercion, physical assault — is documented at far higher rates than the fatal cases captured here; the NCRB separately records tens of thousands of cases of cruelty by husbands and relatives annually under IPC Section 498A.

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] The News Minute — More than 6,000 dowry death cases registered in 2022: NCRB data
    More than 6,000 dowry death cases registered in 2022: NCRB data
    Statistic
    6,450 dowry deaths officially registered in India in 2022 per NCRB
    Excerpt
    “"More than 6,000 dowry death cases were registered in 2022 according to NCRB data. Uttar Pradesh recorded the highest number with 2,218 incidents, followed by Bihar with 1,057, and Madhya Pradesh with 518." ”
    Source data from
    2023-10-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    Primary native figure: 6,450 deaths/year official count. Applied to India female population ~700 million: 9.2e-6/year. 35-year exposure window (ages 15–50): 1 − (1 − 9.2e-6)^35 ≈ 3.2e-4 for Indian women. Global adult denominator figure (schema compatibility): 6,450 / 5,000,000,000 × 59 ≈ 7.6e-5.
  2. [2] BMC Women's Health / PMC (peer-reviewed) — Domestic violence in Indian women: lessons from nearly 20 years of surveillance
    Domestic violence in Indian women: lessons from nearly 20 years of surveillance
    Statistic
    Reported dowry death rate 2.0 per 100,000 women aged 15–49 in 2018; 137,627 dowry death cases reported 2001–2018; low-SDI states rate 3.1 vs high-SDI states 0.7
    Excerpt
    “"Rate of reported dowry deaths and abetment to suicide was 2.0 (95% CI 2.0–2.0) and 1.4 (95% CI 1.4–1.4) in 2018 [per 100,000 women aged 15–49 years]. … Between 2001–2018, 137,627 dowry death cases were reported, with 38,342 (27.9%) occurring between 2014–2018. … Low-SDI states recorded the highest rates [3.1], middle-SDI states 1.2, and high-SDI states 0.7." ”
    Source data from
    2022-04-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    Cross-check: 2.0 per 100,000 women aged 15–49 (a population of ~270 million) yields ~5,400 deaths/year — consistent with NCRB official count of ~6,000–6,500. Peer-reviewed epidemiological corroboration of the NCRB administrative data. The 137,627 total cases over 18 years averages ~7,600/year, reflecting varying reporting rates over time.
  3. [3] IndiaSpend — Why dowry-related crimes are underreported
    Why dowry-related crimes are underreported
    Statistic
    NCRB recorded 6,450 dowry deaths in 2022 (down 24% since 2014); India recorded 13,479 dowry law violations in 2022 (up 34% since 2014); four states account for ~65% of dowry deaths
    Excerpt
    “"Evidence suggests that dowry deaths are misreported as accidental deaths, thereby underestimating the number of women who die following dowry harassment. … the NCRB recorded 6,450 dowry deaths — down 24% since 2014. … India recorded 13,479 dowry law violations, up 34% since 2014. Four states — Uttar Pradesh, Bihar, Madhya Pradesh and Rajasthan — account for nearly 65% of India's dowry deaths. … In 2022, 15 states and Union territories registered more dowry deaths than harassment cases." ”
    Source data from
    2021-06-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    The IndiaSpend analysis documents systematic misreporting of dowry deaths as accidental deaths but does not provide a specific alternative estimate of the true toll. The fact that 15 states registered more dowry deaths than harassment cases supports the underreporting thesis. The upper uncertainty bound uses a conservative 3× multiplier on the NCRB figure (~19,000/yr) rather than a specific published estimate: 19,000 / 700,000,000 = 2.7e-5/year, over 35 years ≈ 9.5e-4 (roughly 1 in 1,050) for an Indian woman.

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