Skip to content
Likelier

Perceived fear vs. actual probability

What are the odds of dying from a mosquito-borne disease?

Lifetime probability · global

~1 in 190

0.5% lifetime chance

Most people underestimate this.

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

Animal · reviewed 2026-04-11
Evidence quality 4.38/5

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
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
4/5
Average 4.38/5
Direct evidence
Source Government statistic · World Health Organization
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 1.9 1 in 1,905

● your factors — click this risk ▾ to reveal

  1. Your factors
A single stylized mosquito silhouette resting on a pale neutral background, flat vector illustration in muted tones.

Perceived

The mosquito occupies an odd slot in the risk imagination: everyone knows it is annoying, almost nobody files it alongside sharks, bears, or snakes on a list of dangerous animals. We haven’t yet found a rigorous recent survey that isolates "fear of dying from a mosquito-borne disease" from the broader category of health anxiety or travel-disease worry, so the perceived side of this page is marked as editorial intuition rather than polled data. The working prior for most Likelier readers is essentially zero — which, outside of endemic regions, happens to be roughly correct.

Rough estimate: most readers in non-endemic countries would guess ~zero

Source: editorial intuition, not polled

Actual

~700,000 deaths per year from vector-borne diseases worldwide (mosquito-borne dominate)

global

Show derivation

Uses the WHO vector-borne diseases fact sheet figure of >700,000 deaths per year globally, the bulk of which are mosquito-borne (malaria ~600,000, dengue ~40,000, plus Japanese encephalitis, yellow fever, West Nile, chikungunya, and Zika). Annual per-capita hazard ≈ 700,000 / 8,000,000,000 ≈ 8.75 × 10⁻⁵; compounded across 60 adult years gives 1 - (1 - 8.75e-5)^60 ≈ 5.25 × 10⁻³, or about 1 in 190 for the average global adult. This number is a scale marker, not a personal forecast — see the regional breakdown and the body text. The uncertainty band reflects whether you count only WHO-attributed malaria deaths (lower bound) or include the full vector-borne aggregate plus the IHME-style higher malaria estimates (upper bound).

Caveats: The global-average figure is a scale marker only. Mosquito-borne mortality is ov…

The global-average figure is a scale marker only. Mosquito-borne mortality is overwhelmingly concentrated in sub-Saharan Africa (~95% of malaria deaths) and in pockets of South and Southeast Asia; for residents of the United States, Europe, Australia, and most of Latin America outside endemic zones, the risk is effectively zero in the absence of travel. The regional_breakdown values above are order-of-magnitude estimates, not precise per-country figures, and they hide substantial heterogeneity by age (young children dominate the malaria death toll), by access to bed nets and antimalarials, by rural vs urban residence, and by season. Specific travel-disease risks — dengue, yellow fever, Japanese encephalitis — will be covered in separate entries.

Related risks

Other risks on similar themes — for exploring related fears.

Health

Malaria (travel)

What are the odds of contracting malaria as a traveler to an endemic country?

Animal

Bat bite & rabies

What are the odds of being exposed to a bat in a way that warrants rabies treatment?

Animal

Shark attack

What are the odds of being killed by a shark?

Animal

Bee sting

What are the odds of being killed by a bee, wasp, or hornet sting?

Animal

Snake bite

What are the odds of being killed by a venomous snake?

Animal

Hippo attack

What are the odds of being killed by a hippopotamus?

Animal

Banana spider eggs

What are the odds of finding dangerous spider eggs in a banana?

Animal

Bear attack

What are the odds of being killed by a bear?

Compare to:

The mosquito is, by a wide margin, the deadliest animal on Earth. The World Health Organization’s vector-borne diseases fact sheet puts the annual global toll at more than 700,000 deaths, the great majority of them mosquito-borne: malaria alone accounts for roughly 610,000 deaths per year (WHO’s latest 2024 estimate), dengue adds another ~40,000, and Japanese encephalitis, yellow fever, West Nile, chikungunya, and Zika fill out the tail. For comparison, the International Shark Attack File’s most recent five-year average is about eight unprovoked fatal shark attacks per year worldwide — meaning a mosquito, as a vector, kills roughly 90,000 humans for every one killed by a shark. Compounded across 60 adult years and apportioned over 8 billion people, the global-average lifetime figure is about 1 in 190.

What makes this number genuinely unusual is that it barely exists as a risk in most of the places Likelier readers live. WHO attributes ~95% of malaria cases and deaths to the African Region; the CDC records roughly 2,000 US malaria cases and an average of ~7 deaths per year, almost entirely in people returning from travel — and 95% of those US cases occurred in travelers who did not take appropriate prevention. For a US, European, or Australian resident who does not travel to an endemic area, the lifetime risk rounds to something close to one in a million. The global number and the US number differ by a factor of roughly 4,000. Both are correct; they describe different populations.

The reason this entry is tagged underrated rather than debunked is that the fear hierarchy most readers carry in their heads puts mosquitoes nowhere near the top. Sharks, bears, snakes, and the occasional crocodile occupy the “dangerous animal” slots in the cultural imagination, while the small insect that kills roughly 90,000 people for every one shark fatality gets filed under “annoying.” The data does not say you should be personally afraid of the mosquito in your kitchen; for most Likelier readers, that mosquito is harmless. The data does say that measured by body count, the shark — the animal most associated with lethal danger — is a rounding error next to the mosquito.

A typical adult's lifetime odds of dying from a mosquito-borne disease are about ~1 in 190 (global average), against roughly 700,000 vector-borne deaths a year. Readers in non-endemic countries tend to guess near zero; the global burden is concentrated, not absent.

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.

4/5 sources independently verified verbatim against the cited source

  1. [1] World Health Organization — Vector-borne diseases — Fact sheet Verified
    Vector-borne diseases — Fact sheet
    Statistic
    Vector-borne diseases account for more than 17% of all infectious diseases, causing more than 700,000 deaths annually; malaria causes more than 608,000 deaths per year and dengue an estimated 40,000.
    Excerpt
    “"Vector-borne diseases account for more than 17% of all infectious diseases, causing more than 700 000 deaths annually. … It causes an estimated 249 million cases globally, and results in more than 608 000 deaths every year. … More than 3.9 billion people in over 132 countries are at risk of contracting dengue, with an estimated 96 million symptomatic cases and an estimated 40 000 deaths every year." ”
    Source data from
    2024-03-02
    Accessed
    2026-04-11 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    WHO’s >700,000/year vector-borne total is the aggregate anchor for this entry. Mosquito-borne diseases (malaria + dengue + Japanese encephalitis + yellow fever + West Nile + chikungunya + Zika) dominate that total, with malaria alone at ~608,000/year. Dividing 700,000 by a global population of 8 billion gives an annual per-capita hazard of ~8.75 × 10⁻⁵; compounded over 60 adult years yields ~5.25 × 10⁻³, or about 1 in 190.
    Independence
    WHO vector-borne fact sheet aggregates WHO programmatic estimates across malaria, dengue, and the smaller arboviruses. Shares upstream with the WHO malaria fact sheet and the World Malaria Report below — treat the three WHO sources as a single institutional estimate rather than independent counts; the CDC US surveillance figure below is the independent cross-check.
  2. [2] World Health Organization — Malaria — Fact sheet Verified
    Malaria — Fact sheet
    Statistic
    610,000 estimated malaria deaths in 2024; ~95% of all malaria cases and deaths occurred in the WHO African Region.
    Excerpt
    “"The estimated number of malaria deaths stood at 610 000 in 2024 compared to 598 000 in 2023. … In 2024 the Region was home to about 95% of all malaria cases and deaths." ”
    Source data from
    2025-12-01
    Accessed
    2026-04-11 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    WHO’s latest malaria estimate (610,000 deaths in 2024) is the single largest component of the vector-borne aggregate and justifies the concentration of risk in sub-Saharan Africa: 95% of malaria deaths occur in the WHO African Region, which is what drives the regional_breakdown figures below. The US traveler figure comes from the CDC malaria surveillance data (see corroborating note in body text) which reports roughly 2,000 US cases and ~7 deaths per year, almost entirely in returning travelers.
    Independence
    WHO malaria fact sheet and WHO vector-borne fact sheet share an upstream (WHO programmatic estimates), so these two are not fully independent on the malaria number; they are used here for different roles — the vector-borne sheet for the aggregate, the malaria sheet for regional concentration and the most recent year.
  3. [3] US Centers for Disease Control and Prevention (CDC) — Data and Statistics on Malaria in the United States Verified
    Data and Statistics on Malaria in the United States

    See all 3 Likelier entries citing this source →

    Statistic
    ~2,000 US malaria cases reported per year; average of nearly 7 deaths per year over 2007–2022; 95% of US cases are in people who did not take appropriate prevention medication.
    Excerpt
    “"Approximately 2,000 malaria cases a year are reported in the United States, and on average there were nearly 7 deaths per year for the period 2007–2022. … Most cases are in people who contract malaria while traveling to another country where malaria spreads and return to the U.S. 95% of people with malaria did not take appropriate malaria prevention medication." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-11 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    CDC US surveillance gives the non-endemic anchor: ~7 malaria deaths per year in a country of ~335 million, almost entirely in returning travelers. That is ~2 × 10⁻⁸ per person per year, i.e. roughly 1 in a million over 60 adult years. This is the basis for the "United States / Europe / Australia" row of regional_breakdown and for the 0.1× personal-factor multiplier for non-endemic travelers on prophylaxis. Methodologically independent of WHO.
    Independence
    CDC surveillance (ICD-coded US death certificates + NMSS case reports) is drawn from a completely different pipeline than WHO’s programmatic malaria estimates, so this is meaningfully independent corroboration of the near-zero risk for non-endemic residents.
  4. [4] World Health Organization — World Malaria Report 2024
    World Malaria Report 2024

    See all 2 Likelier entries citing this source →

    Statistic
    263 million malaria cases and 597,000 malaria deaths in 2023; 94% of cases in WHO African Region
    Excerpt
    “"Malaria remains a serious global health challenge, claiming 597,000 lives in 2023 alone. In 2023, there were an estimated 263 million new malaria cases in 83 countries worldwide." ”
    Source data from
    2024-12-01
    Accessed
    2026-04-12 · archived copy
    Calculation
    Mosquito-specific mortality anchor: 597,000 malaria deaths alone account for the vast majority of the entry's 700,000 vector-borne disease deaths. Confirms that mosquito-borne diseases (malaria + dengue + others) dominate the vector-borne category.
    Independence
    WHO World Malaria Report uses country-reported data and WHO modelling — the same upstream as the WHO vector-borne fact sheet but with malaria-specific detail.
  5. [5] International Shark Attack File, Florida Museum of Natural History — Yearly Worldwide Shark Attack Summary Verified
    Yearly Worldwide Shark Attack Summary
    Statistic
    Five-year (2020-2024) global average of eight unprovoked fatal shark attacks per year worldwide
    Excerpt
    “"This number is also in line with the most recent five-year annual global average of eight unprovoked fatalities per year." ”
    Source data from
    2026-02-18
    Accessed
    2026-07-03 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Used only as the shark-attack anchor for the body-text comparison "a mosquito kills roughly 90,000 humans for every one killed by a shark": 700,000 (WHO vector-borne annual deaths) / 8 (ISAF five-year average unprovoked fatalities/year) ≈ 87,500, rounded to "roughly 90,000". Not used anywhere in the native/normalized calculation for this entry, which is WHO-anchored throughout.
    Independence
    Fully independent of the WHO/CDC pipeline above — ISAF is a standalone shark-attack database maintained by the Florida Museum of Natural History and shares no upstream with the vector-borne disease sources.

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

Recently viewed on this device