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Likelier
Property · reviewed 2026-05-16

What are the odds that lightning will cause a fire in your home during your lifetime?

Evidence quality 4.63/5

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

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
5/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 105

0.9% lifetime chance

Most people underestimate this.

range 1 in 200 to 1 in 50

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 35 1 in 211

● your factors — click this risk ▾ to reveal

≈ As likely as

A house with a lightning rod on the roofline, flat vector illustration in muted tones.

Perceived

Most homeowners think of lightning as a risk to people outdoors or to electronics through power surges, not as a structural fire hazard. No formal survey tracks perceived probability of a lightning-caused home fire specifically, though insurance awareness campaigns consistently identify lightning as a top-five homeowner claims cause that many policyholders do not anticipate. The risk is distinct from the personal injury/death risk of a direct lightning strike, which is addressed in a separate entry.

Rough estimate: most homeowners do not expect a lightning-caused house fire in their lifetime

Source: editorial intuition, not polled

Actual

~13,700 lightning-caused home structure fires per year (US, 2019-2023 average)

US housing units (~143 million)

Show derivation

The NFPA estimates lightning causes approximately 4% of all US home structure fires (2019-2023 data period). Applying 4% to the NFPA-reported ~343,100 annual home structure fires yields approximately 13,724 lightning-ignited fires per year. With approximately 143 million US housing units (Census 2023), the annual fire-ignition rate is 13,724 / 143,000,000 ≈ 0.0000960 (0.0096%/yr). Compounded over 59 adult years: 1 − (1 − 0.0000960)^59 ≈ 0.0056. For homeowner-occupied units only (~84 million), the annual rate is 13,724 / 84,000,000 ≈ 0.000163 (0.016%/yr), yielding a 59-year probability of 1 − (1 − 0.000163)^59 ≈ 0.0095. The entry uses the owner-occupied denominator (0.95%) as it reflects the population for whom a lightning-caused fire is a property-damage event. This is a fire-ignition rate only and excludes non-fire lightning damage (surge to electronics, structural hits without ignition); the broader III claims figure (55,537/yr) captures a higher-probability combined event. The NFPA estimate implies roughly 24,600 lightning fires per year during 2004-2008, suggesting the current 13,700 figure reflects a declining trend consistent with the longer-run average and increased surge protection.

Caveats: This entry covers property loss from lightning igniting a home structure or dama…

This entry covers property loss from lightning igniting a home structure or damaging it through surge — it does not cover personal injury or death from a direct strike, which is tracked separately. The NFPA fire-ignition rate (0.016%/yr for owner-occupied homes, yielding ~1% lifetime) is the primary estimate. The broader III claims figure (~55,537/yr including non-fire lightning damage) implies a higher financial exposure probability (~3.8%/lifetime) but is not used as the primary here because the entry's question specifically asks about fire ignition. The historical 2004-2008 NFPA average (~24,600/yr) was higher than the 2019-2023 figure (~13,700), suggesting a declining trend; the current estimate of ~1% lifetime is conservative relative to the mid-2000s rate. State variation is large: Florida, Texas, and California together account for more than half of all US lightning claims.

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Compare to:

Lightning strikes ignite approximately 13,700 US home structure fires per year, based on the NFPA’s estimate that lightning causes about 4% of all home structure fires during the 2019-2023 period. Against roughly 84 million owner-occupied US homes, this yields an annual fire-ignition rate of approximately 0.016% per home per year. Compounded over a 59-year adult life, the lifetime probability of experiencing a lightning-caused house fire is approximately 1 in 105 for the average US homeowner. This entry is specifically about fire ignition — a lightning strike that starts a structural fire — not about the broader category of lightning damage, which includes surge damage and structural hits that do not ignite flames.

The broader financial picture from insurance data is more common than the fire-only figure suggests. The Insurance Information Institute reported 55,537 homeowner lightning claims in 2024 totaling $1.04 billion in payouts, a figure that encompasses fire ignition, surge damage to electronics, and structural damage without fire. The average claim was approximately $18,700. Florida led all states with 4,780 claims in 2024, consistent with its position as the US lightning capital; Texas had the highest average cost per claim at $38,558. These insurance figures, while not limited to fires, illustrate the scale of financial exposure from all lightning-related events and confirm that the hazard is more consequential than most homeowners recognize.

The fire-ignition risk is declining relative to mid-2000s levels: the NFPA documented an average of roughly 24,600 lightning fires per year during 2004-2008, compared to approximately 13,700 during 2019-2023. Improved building codes, wider adoption of lightning protection systems, and whole-house surge arrestors are likely contributors. The personal injury risk from lightning is orders of magnitude lower: the lifetime odds of a direct lightning fatality for a US adult are below 1 in 100,000, making home fire ignition roughly 10× more likely than the personal strike scenario. Whole-house surge protective devices installed at the main electrical panel reduce induced-surge damage, and insurers recognize this with premium discounts, but uptake remains limited because the hazard is invisible until it materializes.

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] Insurance Information Institute — Triple-I: Lightning Caused $1.04B in US Homeowners Claim Payouts in 2024; Frequency Drops 21.5% Year-Over-Year
    Triple-I: Lightning Caused $1.04B in US Homeowners Claim Payouts in 2024; Frequency Drops 21.5% Year-Over-Year
    Statistic
    55,537 homeowner lightning claims in 2024 (lowest since before 2017); $1.04B total payouts; Florida led with 4,780 claims; Texas had highest average cost at $38,558
    Excerpt
    “"U.S. insurers paid $1.04 billion in lightning-related homeowners insurance claims in 2024, a 16.5 percent decrease from the $1.24 billion paid out in 2023. The total number of lightning-caused claims fell significantly, down 21.5 percent to 55,537 in 2024, the lowest number of claims since before 2017." ”
    Source data from
    2025-06-19
    Accessed
    2026-05-14 · archived copy
    Calculation
    Used as context and cross-check only. 55,537 claims include all lightning damage to homeowner policies — fire, surge, structural damage without fire, and equipment loss. This broader category does not match the slug question ("cause a fire"). The primary probability estimate uses the NFPA fire-ignition rate (0.95%/lifetime). The III data quantifies the financial exposure from all lightning events as context: average claim $18,700, total payouts $1.04B in 2024.
    Independence
    III lightning claims data is compiled from US property/casualty insurer filings through Verisk's ISO system; this is entirely separate from NFPA fire-cause data or NOAA lightning-event detection networks.
  2. [2] Insurance Information Institute — Lightning Caused $1.2 Billion in US Homeowners Claim Payouts in 2023; Severity Trends Upward for the Year
    Lightning Caused $1.2 Billion in US Homeowners Claim Payouts in 2023; Severity Trends Upward for the Year
    Statistic
    ~70,670 homeowner lightning claims in 2023; $1.24B total payouts; average claim severity upward trend
    Excerpt
    “"U.S. insurers paid $1.2 billion in lightning-related homeowners insurance claims in 2023, up from $952 million in 2022. The number of lightning-caused claims in 2023 was up sharply compared with the prior year, with severity trends upward for the year." ”
    Source data from
    2024-06-18
    Accessed
    2026-05-14 · archived copy
    Calculation
    Cross-validates 2024 figure and confirms the broader lightning-damage (not just fire) exposure. Used for context on financial magnitude of lightning events, not as the basis for the normalized probability. The fire-specific NFPA rate is the primary estimate for this entry.
    Independence
    Same III/ISO data pipeline as the 2024 press release; the two years are compiled independently from annual insurer filings and provide a multi-year cross-check.
  3. [3] National Fire Protection Association — Home Fires Caused by Electrical Distribution and Lighting Equipment
    Home Fires Caused by Electrical Distribution and Lighting Equipment

    See all 2 Likelier entries citing this source →

    Statistic
    Lightning causes approximately 4% of US home structure fires annually (2019-2023 data period)
    Excerpt
    “"Lightning accounts for 4 percent of house fires according to NFPA data covering 2019-2023. Fire departments responded to an estimated average of 24,600 fires started by lightning per year during 2004-2008." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    Primary basis for the normalized probability. NFPA estimates ~343,100 US home structure fires per year (2019-2023 average). At 4% attribution to lightning: 343,100 × 0.04 = 13,724 lightning-caused home fires per year. Using 13,724 / 84,000,000 owner-occupied homes = 0.01634%/yr. Over 59 years: 1 − (1 − 0.0001634)^59 ≈ 0.0095 (0.95%, ~1 in 105). The historical 2004-2008 average was ~24,600/yr, suggesting the current rate has declined; the 2019-2023 figure of ~13,700 is used as the current-period estimate. The NFPA fire-ignition rate is the correct basis for this entry because the slug and question specifically address fire risk, not all lightning damage events.
    Independence
    NFPA fire cause data is compiled from National Fire Incident Reporting System (NFIRS) submissions by local fire departments, entirely separate from insurance claims databases.

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