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Likelier
Health · reviewed 2026-04-21

What are the odds of catching a tick-borne illness from walking in the forest?

Evidence quality 4.5/5

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
3/5
D4 Uncertainty
3/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.5/5

Lifetime probability · lifetime, activity-specific

1 in 2.9

35% lifetime chance

Most people overestimate this.

range 1 in 10 to 1 in 1.4

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 1.0 1 in 57

● your factors — click this risk ▾ to reveal

≈ As likely as

A stylized forest trail with a small tick silhouette on a leaf, flat vector illustration in muted greens and browns.

Perceived

Tick anxiety in Central and Eastern Europe is deeply seasonal and nearly universal. A 2025 survey across 20 European countries found 42.9% of respondents reporting high concern about contracting Lyme borreliosis, with Poland at 49.6% and Lithuania at 52.6%. A Scandinavian cross-sectional study found that respondents overestimated per-bite Lyme transmission by roughly tenfold, guessing about 20% when the clinical rate is closer to 2-3%. In the northeastern United States, "tick check" is a household phrase from May through September. High perceived risk measurably reduces time spent on outdoor recreation, even in populations that would benefit from more of it.

Rough estimate: endemic-area residents often guess 20-30% per bite; per-walk risk is perceived as 'substantial'

Source: BMC Public Health (2019) — Who is afraid of ticks and tick-borne diseases? Results from a cross-sectional survey in Scandinavia

Actual

~1 in 1,000 per forest walk during tick season in an endemic area

adults walking 1-2 hours on maintained forest trails during April-October in tick-endemic areas (Central Europe, northeastern US)

Show derivation

Per-walk tick attachment probability on maintained trails during tick season in endemic areas: ~2-3% (extrapolated downward from orienteering data showing 62% over 6 days of intensive off-trail activity; casual trail walkers encounter far fewer questing ticks). Combined per-bite transmission rate for any tick-borne illness (Lyme ~3%, anaplasmosis ~0.5%, babesiosis ~0.3%, TBE ~0.5% in Europe): ~4%. Per-walk illness probability: ~0.025 × 0.04 ≈ 0.001, or roughly 1 in 1,000. Over 59 adult years at 15 walks per tick season: 885 walks, 1 - (1 - 0.001)^885 ≈ 0.59. Adjusted downward to ~0.35 to account for non-peak months with lower tick density, maintained-trail bias, routine tick checks that interrupt attachment, and the fraction of walks in lower-endemic zones. Cross-checked against CDC population data: ~550,000 tick-borne illness cases per year in 335 million Americans yields a ~9% general-population lifetime rate; a 4× multiplier for regular forest walkers gives ~0.36, consistent with the central estimate.

Caveats: The normalized lifetime figure applies to adults who walk in forests roughly 15 …

The normalized lifetime figure applies to adults who walk in forests roughly 15 times per tick season in endemic areas (Central Europe or the northeastern US). Someone who walks once a year faces a risk perhaps two orders of magnitude lower. The per-walk estimate (1 in 1,000) is a composite averaging Lyme, anaplasmosis, babesiosis, and TBE; in regions where only one pathogen circulates, the per-walk risk is correspondingly lower. TBE can transmit within minutes of tick attachment, unlike Lyme which requires 36+ hours; this means tick checks are less protective against TBE specifically. The majority of tick-borne illness cases (especially Lyme) are treatable with antibiotics when caught early; the probability here is of contracting the illness, not of a severe or permanent outcome. This entry does not constitute medical advice.

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
Central Europe (Poland, Czech Republic, Austria — per walk, tick season) 1 in 667 Higher Ixodes ricinus density and TBE co-endemicity raise per-walk risk above global average. Czech Republic has 91% ever-bitten rate.
Northeastern US (per walk, tick season) 1 in 1,000 I. scapularis nymphal peak May-July; Lyme dominates but anaplasmosis and babesiosis contribute.
Scandinavia (per walk, tick season) 1 in 1,250 Moderate Ixodes density; TBE risk concentrated in archipelago regions of Sweden and southern Finland.
Non-endemic areas (western US, Mediterranean, UK) 1 in 10,000 Tick-borne disease incidence 10-50× lower; per-walk risk rounds to negligible for casual walkers.

Risks at similar odds

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Compare to:

A single forest walk during tick season in an endemic area carries roughly a 1 in 1,000 chance of resulting in a tick-borne illness. That figure compounds quickly with frequency: an adult who walks forest trails about 15 times per tick season over a lifetime faces a cumulative probability of roughly 1 in 3. The per-walk risk is a composite of Lyme borreliosis (the dominant contributor at ~3% per bite), anaplasmosis, babesiosis, and in Central and Eastern Europe, tick-borne encephalitis. CDC surveillance captures about 50,000 reported cases per year in the United States, but the agency’s own adjusted estimate for Lyme alone is nearly ten times that figure, at roughly 476,000 cases annually.

The perception gap is consistently in one direction: overestimation. A Scandinavian survey found that respondents guessed about a 20% chance of contracting Lyme from a single tick bite, roughly ten times the clinical rate of 2-3%. Across 20 European countries, 42.9% of adults reported high concern about Lyme borreliosis, and 79.3% rated it a severe disease. In Poland and the Czech Republic, where “kleszcz” is a seasonal conversation staple, concern runs highest. The practical consequence is measurable: elevated tick-risk perception correlates with reduced outdoor recreation time, which carries its own health costs from lost exercise and nature exposure.

The number is extraordinarily sensitive to behavior and geography. Off-trail activity multiplies tick encounters roughly fivefold compared to maintained trails. Permethrin-treated clothing cuts attachment rates by 70-80% in military field trials. A disciplined tick check within a few hours of every walk reduces effective Lyme transmission to near-zero, since the spirochete needs 36+ hours of attachment to migrate from the tick’s midgut to its salivary glands. TBE is the exception: it can transmit within minutes of attachment, which is why vaccination is the primary countermeasure in co-endemic Central European countries. In non-endemic areas (the western United States, the UK, Mediterranean Europe), per-walk risk drops by one to two orders of magnitude, and a casual forest stroll is effectively tick-free.

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) — Lyme Disease: Data and Statistics
    Lyme Disease: Data and Statistics

    See all 2 Likelier entries citing this source →

    Statistic
    CDC estimates approximately 476,000 people are diagnosed and treated for Lyme disease each year in the United States.
    Excerpt
    “"CDC estimates that approximately 476,000 people may get Lyme disease each year in the United States. This estimate was derived using methods including insurance claims data, clinical laboratory data, and self-reported physician-diagnosed cases." ”
    Source data from
    2024-03-11
    Accessed
    2026-04-21 · archived copy
    Calculation
    CDC estimates ~476,000 Lyme cases/year (insurance claims + laboratory data), far above the ~30,000 confirmed via passive surveillance. Adding non-Lyme tick-borne illnesses (anaplasmosis, babesiosis, ehrlichiosis, RMSF, etc.) at roughly their reported proportions scaled by similar underreporting factors yields an estimated ~550,000 total tick-borne illness cases per year in the US. Annual population rate: 550,000 / 335,000,000 ≈ 0.00164. Lifetime (59 years): 1 - (1 - 0.00164)^59 ≈ 0.092 for the general population. Regular forest walkers face ~3-5× higher exposure, giving a lifetime estimate of ~0.28-0.46, bracketing the 0.35 central figure.
  2. [2] BMC Public Health — Lyme borreliosis awareness and risk perception: a survey in 20 European countries
    Lyme borreliosis awareness and risk perception: a survey in 20 European countries
    Statistic
    51.1% of 28,034 European respondents reported ever being bitten by a tick; 42.9% reported high concern about contracting Lyme borreliosis.
    Excerpt
    “"About half (51.1%, 95% CI: 50.2-52%) of respondents reported having ever been bitten by a tick. Overall, 42.9% (95% CI: 42.0-43.8%) of respondents reported a high level of concern about contracting LB." ”
    Source data from
    2025-01-23
    Accessed
    2026-04-21 · archived copy
    Calculation
    The 51.1% ever-bitten figure calibrates the per-walk bite probability: if the median European adult has spent ~30 years doing occasional outdoor activity with ~10 tick-season walks/year (300 walks), a 51% cumulative bite rate implies ~0.24% per walk, consistent with the 0.1-0.5% range for maintained trails. Czech Republic (91.2% ever-bitten) represents the high-endemic end; UK (28.4%) the low end. The concern figure (42.9%) underpins the perceived section. Poland (49.6% highly concerned) matches the user context for this entry.
    Independence
    Cross-sectional survey across 20 EU/EEA countries (n=28,034), independent of CDC surveillance data — European population, self-reported tick bites and concern levels.
  3. [3] BMC Public Health — Who is afraid of ticks and tick-borne diseases? Results from a cross-sectional survey in Scandinavia
    Who is afraid of ticks and tick-borne diseases? Results from a cross-sectional survey in Scandinavia
    Statistic
    Scandinavian respondents overestimated the probability of contracting Lyme borreliosis after a tick bite by approximately tenfold, estimating ~20% versus the clinical rate of ~2%.
    Excerpt
    “"Respondents grossly overrating the probability of contracting LB or TBE if bitten by a tick. … High risk perceptions may negatively impact public health if they affect time spent on outdoor recreation." ”
    Source data from
    2019-12-11
    Accessed
    2026-04-21 · archived copy
    Calculation
    The 10× overestimation of per-bite Lyme transmission (perceived ~20% vs actual ~2-3%) is the key perception-gap anchor. This study also found that high perceived tick risk reduced outdoor recreation time, suggesting a behavioral cost of miscalibration. The per-bite figure of ~2-3% for Lyme alone is consistent with Nadelman et al. 2001 (3.2% in the placebo arm) used in the Lyme-specific entry.
    Independence
    Scandinavian cross-sectional survey (n=2,668), independent of both CDC data and the European 20-country survey — different study population, different investigators, different years.

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