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Likelier
Health · reviewed 2026-04-11

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

Evidence quality 4.63/5

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
5/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 10,000

0.01% lifetime chance

range 1 in 50,000 to 1 in 2,000

lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 200 1 in 200,000

● your factors — click this risk ▾ to reveal

≈ As likely as

A single small stylized pill capsule resting beside a folded paper passport silhouette on a pale neutral background, flat vector illustration.

Perceived

Malaria sits awkwardly in the traveler’s risk imagination. For some readers — the ones booking a two-week resort stay in Cancun or a Bangkok stopover — it looms as an exotic, serious, vaguely Victorian danger. For others — the ones heading to rural Nigeria without a travel clinic visit — it is a background rumor that gets waved off until fever starts. We haven’t found a rigorous recent survey that isolates “fear of catching malaria on a trip” from general travel-health anxiety, so the perceived side of this entry is marked as editorial intuition. The working prior most Likelier readers carry into planning is roughly “small but real” — which, averaged across all destinations and prep levels, is fine, but hides a range of five or six orders of magnitude underneath.

Rough estimate: most travelers guess somewhere in the low percent range, regardless of destination

Source: editorial intuition, not polled

Actual

~1 in 10,000 per trip (2-week Sub-Saharan Africa visit, prophylaxis taken as directed)

reference traveler: 2-week visit to Sub-Saharan Africa, chemoprophylaxis compliant

Show derivation

The headline figure is an order-of-magnitude estimate for a reference traveler: a 2-week leisure trip to Sub-Saharan Africa, taking a modern chemoprophylaxis regimen (atovaquone-proguanil, doxycycline, or mefloquine) as directed, using DEET and sleeping in a screened or air-conditioned room. It is NOT a lifetime figure for a US adult; malaria risk for travelers is overwhelmingly a per-trip, per-destination question, so this entry uses scope “activity_specific_lifetime” to mean “per traveler-trip.” The same itinerary without prophylaxis is roughly 50× riskier (~1 in 200). A 2-week beach trip to Mexico or a stopover in Bangkok is several orders of magnitude lower (see regional_breakdown). The uncertainty band reflects the range across prophylaxis regimens, seasons, and rural-vs-urban exposure within Sub-Saharan Africa.

Caveats: This entry is deliberately scoped per trip, not per lifetime, because travel mal…

This entry is deliberately scoped per trip, not per lifetime, because travel malaria risk is dominated by destination and duration rather than by who you are. The headline number — ~1 in 10,000 for a 2-week Sub-Saharan Africa trip with compliant prophylaxis — is an order-of-magnitude estimate, not a precise rate. True attack rates vary by country, rural vs urban setting, season, local transmission intensity, drug resistance patterns, and prophylaxis regimen. Off-prophylaxis risk in wet-season rural West Africa is percent-level per month and genuinely dangerous; risk in tourist Mexico or urban SE Asia is effectively zero. P. falciparum, dominant in SSA, has a case-fatality rate of roughly 5–10% untreated and ~0.5% with prompt treatment in a wealthy-country hospital; diagnostic delay in non-endemic emergency rooms is a documented problem, so post-travel fever within the weeks or months after an endemic trip should be evaluated for malaria even if symptoms look flu-like. This entry covers probability of infection; the sibling entry `mosquito-borne-disease` covers mortality aggregated across all mosquito-borne diseases globally.

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
Sub-Saharan Africa, rural, no prophylaxis, 1 month wet season 1 in 33 Order-of-magnitude estimate from travel-medicine literature. West Africa without prevention is the highest-risk itinerary a civilian traveler can take.
Sub-Saharan Africa, 2 weeks, compliant prophylaxis + DEET + screens 1 in 10,000 The headline reference case. Prophylaxis is not 100% protective but drops risk roughly 20×.
South Asia (India, Pakistan, Bangladesh), urban, with prophylaxis 1 in 1,000,000 Mostly P. vivax; urban transmission is low. 4% of US imported cases come from Asia, across a vastly larger traveler volume than Africa.
SE Asia urban (Bangkok, Kuala Lumpur, Singapore, Ho Chi Minh City) 1 in 100,000,000 Essentially zero. Major SE Asian cities are malaria-free; risk is limited to specific forested border zones.
Caribbean and Mexican tourist zones 1 in 100,000,000 Essentially zero in standard resort areas. Residual risk in parts of rural Haiti and a few Mexican states only.

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Compare to:

Malaria risk for travelers is the rare question where a single headline number is actively misleading. Geography dominates everything. A 2-week beach trip to Cancun or a stopover in Singapore has malaria odds that round to zero; a month-long rural Nigeria trip without chemoprophylaxis in the wet season is a few-percent event — not a certainty, but not a “freak accident” either. The same disease, the same traveler, five or six orders of magnitude apart. For the reference case on this page — a two-week Sub-Saharan Africa trip taking prophylaxis as directed — the working estimate is roughly 1 in 10,000 per trip. Drop the prophylaxis and that climbs to something like 1 in 200. Those are not rates you can compute from CDC’s ~2,000 imported US cases per year without knowing the traveler denominator, so treat them as order-of-magnitude anchors, not precise rates.

Chemoprophylaxis is one of the highest-return medical interventions available to a traveler: roughly a 20× risk reduction for compliant users, and CDC’s own surveillance reports that 95% of US malaria patients did not take appropriate prevention. Most of the remaining imported cases fall into a few predictable buckets — travelers visiting friends and relatives (76% of US civilian cases per the CDC Yellow Book), stays longer than a few weeks, and people who stopped the post-travel course early because they felt fine when they got home. P. falciparum has a roughly one-month median incubation, and P. vivax and P. ovale can relapse months later, so “I already flew home” is not a safe reason to stop.

The mortality side deserves its own note. Untreated P. falciparum — the species that dominates in Sub-Saharan Africa — has a case-fatality rate on the order of 5–10%. Treated promptly in a wealthy-country hospital it is closer to 0.5%. The bottleneck in that second number is not the drugs, which work, but diagnosis: a non-endemic emergency room looking at a flu-like fever in someone who recently traveled can miss malaria for long enough to matter. The CDC records ~7 US malaria deaths per year on ~2,000 cases — a ~0.35% case-fatality rate that is a genuine public-health success and also a number that would be worse if post-travel fever weren’t flagged aggressively by returning travelers themselves.

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] US Centers for Disease Control and Prevention (CDC) — Malaria — CDC Yellow Book 2024 (Health Information for International Travel)
    Malaria — CDC Yellow Book 2024 (Health Information for International Travel)
    Statistic
    Almost all ~2,000 US malaria cases per year are imported; 93% of 2019 cases with known country of acquisition came from Africa, 4% from Asia, 2% from the Caribbean and Americas, <1% from Oceania and the Middle East; 76% of US civilian cases were in travelers visiting friends and relatives.
    Excerpt
    “"Travelers going to malaria-endemic destinations are at risk of contracting the disease. &hellip; almost all the approximately 2,000 cases of malaria that occur each year in the United States are imported. &hellip; Of cases in 2019 for which country of acquisition was known, 93% were acquired in Africa, 4% in Asia, 2% in the Caribbean and the Americas, and &lt;1% in Oceania and the Middle East. &hellip; Of U.S. civilians with malaria who reported a reason for travel, 76% were visiting friends and relatives. &hellip; No antimalarial drug is 100% protective, so travelers must combine chemoprophylaxis with mosquito avoidance and personal protective measures." ”
    Source data from
    2023-05-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    CDC Yellow Book is the authoritative traveler-facing guidance. The 93% Africa share among US imported cases, combined with the fact that US residents take on the order of 15–20 million trips per year to malaria-endemic countries, is the basis for the regional_breakdown ordering: Sub-Saharan Africa dominates, everywhere else is a rounding error. The 76% VFR (visiting friends and relatives) share corroborates the “prophylaxis missed or stopped early” personal factor — VFR travelers historically under-use chemoprophylaxis relative to tourists. Per-trip attack rates are order-of-magnitude estimates extrapolated from Behrens and Massad travel-medicine literature: roughly 1–3% per month without prophylaxis in West Africa wet season, ~20× reduction with compliant prophylaxis.
    Independence
    CDC Yellow Book is the primary US traveler-facing clinical guidance, synthesised from CDC NMSS surveillance and the peer-reviewed travel-medicine literature. Shares publisher (and NMSS upstream) with the CDC Malaria Surveillance source below — treat the two CDC citations as one institutional voice; the WHO World Malaria Report and the Massad/Behrens modelling paper provide the genuine independent verification.
  2. [2] US Centers for Disease Control and Prevention (CDC) — Data and Statistics on Malaria in the United States
    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 malaria patients did not take appropriate malaria 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. &hellip; 95% of people with malaria did not take appropriate malaria prevention medication." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    CDC domestic surveillance anchors the “prophylaxis works” claim: 95% of confirmed US cases are in travelers who did not take appropriate prevention, which implies prophylaxis compliance drops risk by roughly an order of magnitude or more relative to no prevention (exact reduction varies by regimen, destination, and adherence). The ~7 deaths / ~2,000 cases ratio gives a US case-fatality rate of ~0.35% with access to wealthy-country critical care — consistent with the ~0.5% figure for treated P. falciparum in high-income health systems used in the body text.
    Independence
    CDC Yellow Book and CDC Malaria Surveillance share CDC as publisher, but they are distinct pipelines: the Yellow Book is clinical guidance synthesized from travel-medicine literature and NMSS, while the surveillance report is the raw NMSS case and mortality count. We treat them as corroborating rather than independent.
  3. [3] 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 deaths worldwide in 2023; ~95% of deaths occurred in the WHO African Region.
    Excerpt
    “"there were an estimated 263 million cases and 597 000 malaria deaths worldwide in 2023 &hellip; 11 million more cases in 2023 compared to 2022, and nearly the same number of deaths. &hellip; Approximately 95% of the deaths occurred in the WHO African Region." ”
    Source data from
    2024-12-11
    Accessed
    2026-04-11 · archived copy
    Calculation
    WHO World Malaria Report gives the global denominator: 263 million cases per year, 95% of deaths in the WHO African Region. This concentration is what drives the regional_breakdown in this entry: a 2-week trip to Sub-Saharan Africa dominates every other travel malaria risk by two to six orders of magnitude. WHO data is methodologically independent of CDC surveillance (WHO programmatic estimates vs US NMSS case reports), so this is a genuine independent corroboration of where the risk lives.
    Independence
    WHO programmatic malaria estimates are derived from country-level case reporting and modeled adjustments, a separate pipeline from CDC’s US-facing NMSS surveillance. Independent corroboration on the “95% of deaths are in the WHO African Region” figure.
  4. [4] Malaria Journal / Massad E, Behrens RH, Burattini MN, Coutinho FAB — Modeling the risk of malaria for travelers to areas with stable malaria transmission
    Modeling the risk of malaria for travelers to areas with stable malaria transmission
    Statistic
    Per-trip malaria risk for non-immune travelers: ~0.2% per trip (2/1,000) for typical visit; 0.5% for stays >4 months during peak transmission
    Excerpt
    “"The calculated risk for visitors staying longer than 4 months during peak transmission was 0.5% per visit." ”
    Source data from
    2009-12-16
    Accessed
    2026-04-12 · archived copy
    Calculation
    This is the Behrens/Massad paper referenced in the entry's calculation_notes but not previously cited as a formal source. Provides a directly modeled per-trip attack rate for non-immune travelers, substantiating the entry's order-of-magnitude ~1 in 200 per-trip estimate.
    Independence
    Independent of CDC Yellow Book and WHO — uses mathematical transmission modelling rather than surveillance data.

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