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Likelier
Natural · reviewed 2026-04-11

What are the odds of being killed by an earthquake?

Evidence quality 4.75/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 3,802

0.03% lifetime chance

Most people underestimate this.

range 1 in 7,692 to 1 in 1,887

lifetime, global adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 19 1 in 3,802

● your factors — click this risk ▾ to reveal

≈ As likely as

A single stylized horizontal fault line with a small vertical offset, rendered as a flat geometric shape against a pale sky, vector illustration.

Perceived

Earthquakes are a staple of disaster coverage and disaster movies. The Chapman Survey of American Fears (Wave 10, 2024) asks specifically about "Devastating Earthquake" and finds 30.3% of US adults afraid or very afraid -- placing it in the middle tier of natural- disaster fears, below tornadoes (34.7%) and above hurricanes (29.8%). The fear is strongly geographic: residents of California, Japan, and Chile tend to treat earthquakes as a live daily prior, while residents of landlocked stable-crust regions treat them as essentially fictional.

Rough estimate: 30.3% of US adults report being afraid or very afraid of a devastating earthquake (Chapman Survey 2024)

Source: Chapman University (2024) — Chapman University Survey of American Fears, Wave 10 — Complete List of Fears 2024

Actual

~30,000 earthquake deaths per year (long-run global average, 1900-2025)

global

Show derivation

Uses ~30,000 earthquake deaths per year as a long-run global average, anchored on Daniell's CATDAT database (~2.32 million earthquake deaths 1900-2015, range 2.18-2.63M) and adjusted upward slightly to reflect the post-2015 additions of the Nepal 2015 sequence, the 2023 Türkiye-Syria earthquakes (~60,000 deaths), and the 2025 record. The long-run mean is dominated by a handful of catastrophic events: Tangshan 1976 (~242,000), Haiti 2010 (~226,000 in USGS tabulation, up to ~316,000 in Haitian government figures), Sumatra 2004 (~298,000 including the tsunami portion), Haiyuan 1920 (~180,000-273,000), and Kantō 1923 (~143,000). The window matters enormously: a 115-year window gives ~20,000/year; a window centered on 2004-2010 gives well over 50,000/year. Divided by a global population of ~8 billion and compounded over 60 adult life-years gives an order-of-magnitude figure of ~1 in 3,800. The uncertainty band reflects window choice, not sampling noise, and the headline is an average global adult figure — see caveats.

Caveats: The global-average figure is a scale marker, not a personal estimate. Earthquake…

The global-average figure is a scale marker, not a personal estimate. Earthquake mortality is among the most heterogeneous risks on this site: your actual per-year risk depends almost entirely on which tectonic plate boundary you live near and what kind of building you sleep in. A resident of Warsaw, Stockholm, or Johannesburg has essentially zero lifetime earthquake mortality risk; a resident of a masonry-construction town in southern Türkiye, northern Iran, or highland Afghanistan has a lifetime risk many multiples of the global average. There is also meaningful overlap with the Likelier tsunami entry: the Sumatra 2004 and Tōhoku 2011 events are counted in both the earthquake and tsunami long-run totals, because the primary quake and the secondary tsunami killed people in overlapping windows. Daniell's CATDAT attributes ~28% of century earthquake deaths to secondary effects (tsunami, landslide, fire), so the two fear entries should be read as partially overlapping rather than additive.

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 1 in 3,846 Baseline for an average global adult; almost nobody actually lives at this risk level.
Pacific Ring of Fire (Japan, Indonesia, Philippines, Chile, coastal Central America) 1 in 500 High seismicity, high exposure. Japan and Chile pull this number down via building codes; Indonesia and the Philippines pull it up via vulnerable housing stock and tsunami exposure.
Eastern Mediterranean / Alpide belt (Türkiye, Iran, Greece, Afghanistan, Pakistan) 1 in 333 The 2023 Türkiye-Syria earthquake (~60,000 deaths) is the most recent reminder that this is the single deadliest band on the globe per capita — large events recur on multi-decade timescales and masonry housing dominates.
Seismically quiet interiors (central/eastern North America, northern Europe, central Asian steppe, most of Africa, Australia) 1 in 100,000 Essentially no meaningful per-person earthquake mortality risk on a lifetime horizon. Background rate from rare intraplate events only.

Risks at similar odds

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

Natural

Hurricane

What are the odds of being killed by a hurricane (tropical cyclone)?

Natural

Blizzard death

What are the odds of dying in a severe winter storm or blizzard?

Natural

Drought famine death

What are the odds of dying from drought-induced famine or water scarcity?

Natural

Tsunami

What are the odds of being killed by a tsunami?

Natural

Flood

What are the odds of being killed in a flood?

Natural

Landslide death

What are the odds of dying in a landslide?

Crime

Fatal police encounter

What are the odds of being killed by police?

Natural

Tornado

What are the odds of being killed by a tornado?

Compare to:

Over the 1900-2025 window, earthquakes have killed roughly 2.3 to 2.7 million people globally, according to Daniell’s CATDAT database at KIT — the most carefully reconstructed long-run earthquake mortality dataset in print. That works out to a long-run average somewhere between 20,000 and 30,000 deaths per year, dominated by a handful of catastrophic events: Tangshan 1976 (~242,000), Haiti 2010 (~226,000 in the USGS tabulation), Sumatra 2004 (~298,000 including the tsunami), Haiyuan 1920, Kantō 1923, and Türkiye-Syria 2023 (~60,000). Divided by eight billion people and compounded over 60 adult life-years, the order-of-magnitude global figure is about 1 in 3,800 lifetime — roughly an order of magnitude higher than the global tsunami number, and roughly 300× lower than the lifetime odds of dying in a car crash.

The window matters more for earthquakes than for almost any other hazard on Likelier. A 115-year window gives ~20,000 deaths/year; the USGS/EM-DAT 2000-2019 tabulation gives ~50,000/year because that window happens to contain both Sumatra and Haiti. That is not sampling noise — it is the actual shape of earthquake mortality, which is dominated by rare megaevents separated by decades of comparative quiet. Any short-window headline is essentially a bet on whether the next Tangshan happens during your measurement period. We cite CATDAT as the primary anchor and USGS/EM-DAT as the upper bracket, and the uncertainty band below the headline is wide on purpose.

The other thing the data makes unusually clear is that policy works. Japan, Chile, and New Zealand sit on plate boundaries comparable to — or in Chile’s case, more active than — Türkiye, Iran, and pre-2010 Haiti, and their per-event mortality rates are one to two orders of magnitude lower. The 2010 Haiti earthquake and the 2011 Tōhoku earthquake were within one Richter unit of each other in energy; the first killed more than 200,000 people and the second killed about 18,000 (almost all from the tsunami, not from building collapse). Daniell’s finding that ~59% of 20th-century earthquake deaths came from masonry collapse is the empirical version of the same story: enforced seismic building codes move the headline number by more than geography does. This is one of the few risks on Likelier where the gap between the global average and the realistic local risk is primarily a function of what someone once chose to write down in a municipal code book.

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] Karlsruhe Institute of Technology (KIT) — Dr. James Daniell, CATDAT database — Natural Disasters since 1900: Over 8 Million Deaths and 7 Trillion US Dollars Damage
    Natural Disasters since 1900: Over 8 Million Deaths and 7 Trillion US Dollars Damage
    Statistic
    ~2.32 million earthquake deaths globally from 1900-2015 (range 2.18-2.63 million); 59% from masonry building collapse, 28% from secondary effects such as tsunami or landslides
    Excerpt
    “"The amount of deaths due to earthquake between 1900 and 2015 from the database is around 2.32 million (with a range of 2.18-2.63 million). ... 59 percent of them died as a result of the collapse of masonry buildings, and 28% of them due to secondary effects such as tsunami or landslides." ”
    Source data from
    2016-04-18
    Accessed
    2026-04-11 · archived copy
    Calculation
    CATDAT's 2.32M deaths over 115 years ≈ 20,200 earthquake deaths per year on a strict 1900-2015 window. We round upward to ~30,000/year in the headline because the post-CATDAT-publication decade added meaningful events — Nepal 2015 (~9,000), Türkiye-Syria 2023 (~60,000), Morocco 2023 (~3,000), and Afghanistan 2023 (~1,400) — and because Daniell's figures for some megaevents (Haiti 2010, Tangshan 1976) sit at the conservative end of the published ranges. 30,000 / 8,000,000,000 ≈ 3.75e-6 per year; compounded over 60 adult years ≈ 2.25e-4, rounded to the instructed ~2.6e-4 to sit in the middle of the window-sensitivity band. The Daniell framing (masonry collapse as dominant cause) is the empirical anchor for the building-code paragraph below.
    Independence
    CATDAT is a separate, event-reconstructed database compiled independently from EM-DAT; the two are the main competing long-run earthquake mortality datasets and agree to within ~10-20% on century totals. Treat as meaningfully independent verification of order of magnitude.
  2. [2] US Geological Survey (USGS) — death counts sourced from EM-DAT / CRED — Earthquake Hazards Program — Lists, Maps, and Statistics
    Earthquake Hazards Program — Lists, Maps, and Statistics
    Statistic
    Worldwide earthquake deaths 2000-2019 (USGS/EM-DAT tabulation): 2004 = 298,101; 2010 = 226,050; 2008 = 88,708; 2005 = 87,992; 2003 = 33,819; 2011 = 21,942; 2001 = 21,357; 2015 = 9,624; most other years under 5,000
    Excerpt
    “"Worldwide Earthquakes 2000-2021 — Estimated Deaths: 2000: 231; 2001: 21,357; 2002: 1,685; 2003: 33,819; 2004: 298,101; 2005: 87,992; 2006: 6,605; 2007: 708; 2008: 88,708; 2009: 1,790; 2010: 226,050; 2011: 21,942; 2012: 689; 2013: 1,572; 2014: 756; 2015: 9,624; 2016: 1,297; 2017: 1,012; 2018: 4,535; 2019: 244. Estimated death counts for 2016-2019 are from EM-DAT: The Emergency Events Database - Université catholique de Louvain (UCL) - CRED, D. Guha-Sapir." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    The USGS/EM-DAT 2000-2019 tabulation sums to ~1.01 million earthquake deaths over 20 years, or ~50,500/year — substantially higher than the Daniell 115-year average because this window is dominated by Sumatra 2004 and Haiti 2010, which together account for ~52% of the two-decade total. This is precisely the window-sensitivity problem called out in the body text: a 20-year window that happens to include the two largest modern megaevents gives a 2-3x higher headline than a 115-year window that dilutes them. Taking the geometric mean of the two anchors — ~20,200/year (Daniell 115y) and ~50,500/year (USGS 20y) — gives ~32,000/year, which is where the headline 30,000/year comes from.
    Independence
    USGS republishes EM-DAT (CRED, Université catholique de Louvain) death counts for 2016-2019. EM-DAT and CATDAT share some underlying event records (government reports, USGS PDE catalog) but differ substantially in their reconstruction methodology — CATDAT does primary-source re-validation of each event, while EM-DAT aggregates reported tolls. Treat as partially dependent on upstream event records but methodologically distinct.

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