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Likelier
Health · reviewed 2026-05-28

What are the odds of serious injury or death while day-hiking?

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
5/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
3/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 4.8

21% lifetime chance

range 1 in 10 to 1 in 2.9

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 1.6 1 in 9.5

● your factors — click this risk ▾ to reveal

≈ As likely as

A single pair of hiking boots resting on a flat trail stone, viewed from a low angle, calm muted palette.

Perceived

Day-hiking sits in an awkward perceptual category: it is the prototypical "safe outdoor activity" recommended to almost everyone, and at the same time the headline cases that reach the news — lost hiker, fatal fall, SAR helicopter — are vivid enough that the fear of getting hurt on a hike is widespread, especially for solo hikers and first-timers on unfamiliar trails. There is no good survey isolating perceived probability of injury per hike-day, so we mark this as editorial intuition. The interesting property is that the two halves of the fear track very different probabilities. Fatal hiking injury is rare, around one per one to two million park visits. A sprain, strain, twisted knee, or blister bad enough to need attention is genuinely common across an active hiking career.

Rough estimate: Most people would guess the per-hike chance of any meaningful injury is well under 1 percent

Source: editorial intuition, not polled

Actual

~1 medically-attended injury per ~2,500 hike-days (recreational day-hiker on maintained trails)

US adult recreational day-hikers on maintained park or forest trails

Avg. lifetime encounters:  ~1,180 (20/yr × 59 yr)

Show derivation

Scope is activity_specific_lifetime, expressed across a typical recreational day-hiking career of approximately 20 hikes per year over 30 years (~600 hike- days). There is no single canonical published per-hiker-day injury rate for US recreational day-hikers; the literature uses three different denominators (program-days, park visits, EMS-eligible visits) and we triangulate. Starting from McIntosh et al. (2007) NOLS expeditions at 1.18 injuries per 1,000 program- days (multi-day off-trail with packs, an upper bound for hiking intensity) and scaling down by roughly a factor of three for the lower intensity of recreational day-hiking on maintained trails, the per-hike-day rate of medically-attended injury lands near 1 in 2,500. Across 600 hike-days: 1 minus (1 minus 1/2500) to the 600th power equals approximately 0.21, or about 1 in 5. This is meaningfully higher than most people expect for "hiking" because it includes urgent-care-level ankle sprains, twisted knees, and cuts requiring stitches — the mundane outcomes that dominate the injury mix. Fatal and SAR-worthy outcomes sit two to four orders of magnitude below: the Heggie and Amundson (2009) NPS-wide series reports roughly 5 SAR-injured persons and 0.6 fatalities per million park visits, so the lifetime fatality probability for a 600-hike day-hiker is on the order of 1 in 3,000 to 1 in 10,000, comparable to dying in a bicycle crash.

Caveats: No single published study reports a per-hiker-day injury rate for US recreationa…

No single published study reports a per-hiker-day injury rate for US recreational day-hikers on maintained trails. The literature uses three different denominators: program-days (NOLS, multi-day intensive), park visits (NPS, visitor includes scenic drivers and picnickers), and EMS-eligible visits (NPS EMS, broader than hiking-attributable). The headline 1-in-2,500-per-hike rate is a triangulation across these systems with an explicit intensity-adjustment factor of approximately three from the NOLS upper bound. That factor is the largest source of uncertainty and the reason the normalized uncertainty band is wide (0.10 to 0.35) rather than narrow. The headline also bundles outcomes that span three orders of magnitude in severity: a Saturday-afternoon ankle sprain that needs urgent care, a SAR-eligible fall from a switchback, and a fatal cardiac event on a steep ascent are all "hiking injury" in the surveillance data but answer very different versions of the underlying fear. The breakdown rows make the severity ladder explicit. Finally, "hiking" is not a homogeneous activity. Off-trail scrambling, alpine ascents, and Class 4 backcountry are not what most readers mean by "I went on a hike," and carry substantially higher per-hour risk; the entry headline is calibrated to maintained-trail day-hiking and explicitly excludes mountaineering, technical scrambling, and multi-day wilderness expeditions, which are closer to the adventure-sports category.

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
Per hike-day (medically-attended injury, day-hike on maintained trail) 1 in 2,500 Point estimate of 1 in 2,500. NOLS expedition rate of 1.18 per 1,000 program-days scaled down by approximately 3x for the lower intensity of recreational day-hiking. The figure includes ankle sprain, twisted knee, cuts requiring stitches, fall injuries — the mundane outcomes that dominate the hiking injury mix.
Per hike-day (SAR-worthy or EMS-eligible event) 1 in 80,000 About 1 in 80,000 per hike-day, derived from Lane et al. 2015 NPS EMS rates with a hiking-activity adjustment. SAR-eligible means an incident serious enough to require coordinated rescue or ambulance response — well past a sprained ankle the hiker walked out on.
Per hike-day (fatality, hiking-attributable) 1 in 1,666,667 Approximately 1 in 1.7 million per hike-day, derived from Lane et al. 2015 modern NPS fatality rate of 1.8 per million all-NPS-visits, with a 10 percent hiking-attribution share (Heggie 2008) and a ~30 percent hike-visit denominator adjustment. Using Heggie's older long-run baseline (0.6 per million all-visits) gives a roughly 3x lower per-hike rate (~2e-7). Cardiac events, falls from height, and exposure dominate; lost-hiker fatalities are a small fraction of the total.
Per 600-hike active day-hiking career (any medically-attended injury) 1 in 4.8 Headline activity_specific_lifetime figure: about 1 in 5 active day-hikers will accumulate at least one medically-attended hiking injury across a 30-year, 20-hikes-per-year career. Wide uncertainty band 0.10 to 0.35 reflects the multi-source denominator triangulation.
Per 600-hike career (fatality) 1 in 2,778 Roughly 1 in 2,800 over the full active career using the modern Lane baseline; about 1 in 8,300 using the older Heggie long-run figure. The defensible range is therefore roughly 1 in 3,000 to 1 in 10,000 — comparable to the lifetime probability of dying in a bicycle crash. The dramatic SAR-helicopter version of the fear is roughly 600 times rarer per hike than the mundane sprained ankle.
Backcountry / multi-day expedition with pack (per equivalent day) 1 in 833 NOLS rate of 1.18 per 1,000 program-days — the unscaled upper bound. Multi-day exposure with packs, off-trail terrain, and accumulated fatigue roughly triples the per-day rate relative to a maintained-trail day-hike.

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Compare to:

The useful number is the one per hike-day, not the one per lifetime. On a typical day-hike on a maintained US trail, a recreational hiker runs roughly a 1 in 2,500 chance of an injury serious enough to need medical attention — most commonly an ankle sprain, twisted knee, or fall-related cut. The per-hike chance of a SAR-eligible event is about 1 in 80,000, and the per-hike chance of a fatality is about 1 in 1.6 million, roughly the same order as being struck by lightning in a given year. Compounded across a 30-year, 600-hike active hiking career, the medically-attended-injury rate becomes about 1 in 5, the SAR-event rate about 1 in 130, and the fatality rate roughly 1 in 3,000 to 1 in 10,000 depending on whether the modern Lane (2015) or long-run Heggie (2009) NPS baseline is used, comparable to the lifetime probability of dying in a bicycle crash.

What is interesting about this fear is the gap between its two halves. The vivid fatality and SAR-helicopter framing — lost hiker, body recovered, rescue cost ninety thousand dollars — is overestimated relative to a per-hike fatality rate of roughly one in a million-and-a-half. The mundane sprain framing is roughly calibrated to the underlying rate; almost every active hiker will, over a long enough career, accumulate at least one. The Forrester and Holstege Shenandoah series, Heggie and Amundson’s NPS-wide SAR aggregate, and McIntosh’s NOLS data all converge on the same severity ladder: distal lower-extremity soft tissue injury dominates, fracture is a small minority, fatality is rare, and lost hiker is rarer still and usually preceded by getting off-trail in unfamiliar terrain.

The within-subgroup variation is large and matters more than the headline. Off-trail scrambling, multi-day expeditions with packs, and summit attempts run roughly three times the per-day rate of a Saturday afternoon nature walk. Solo hiking does not change the underlying fall rate by much but shifts every moderate injury one rung up the severity ladder, because a partnered hiker walks out from things a solo hiker has to be rescued from. Age over 65 roughly doubles the rate and substantially worsens the outcome distribution. The 1-in-2,500-per-hike-day figure is the starting point for a calculation about a specific trail and a specific hiker, not the answer to it.

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] Wilderness & Environmental Medicine (Forrester JD, Holstege CP) — Injury and illness encountered in Shenandoah National Park
    Injury and illness encountered in Shenandoah National Park
    Statistic
    2.7 persons reported injured or ill per 100,000 visitors to Shenandoah National Park; hiking is the most common activity at the time of injury; most common adult injury is soft-tissue injury of the distal lower extremity
    Excerpt
    “"2.7 persons reported injured or ill per 100,000 visitors to Shenandoah National Park." "The most common activity in which adults were involved at the time of the injury was hiking." "soft tissue injury, with the most common anatomical location being the distal lower extremity." [Paraphrase from abstract — full text paywalled] ”
    Source data from
    2009-12-01
    Accessed
    2026-05-28 · archived copy
    Calculation
    Forrester and Holstege analysed 5 years of Shenandoah National Park ranger case-reports (2003 to 2007). The 2.7 per 100,000 figure is the rate at which a park visitor is sufficiently injured or ill to be formally recorded by a ranger — a sampling floor, not a per-day injury rate. Most blisters, minor sprains, and even some moderate strains never reach a ranger; the figure is best read as "rate of ranger-attention-level events per park visit." Because not every park visit is a hike, the per-hike rate is meaningfully higher than the per-visit rate quoted here — we use this source primarily to anchor the lower bound of the injury severity ladder, not the headline native rate. The finding that distal lower-extremity soft tissue injury (ankle sprain, knee strain) dominates is consistent across every hiking injury study and drives the personal factor multipliers.
    Independence
    Independent dataset (Shenandoah ranger case-reports). Does not overlap with NOLS expedition data or NPS-wide SAR aggregates.
  2. [2] Wilderness & Environmental Medicine (McIntosh SE, Leemon D, Visitacion J, Schimelpfenig T, Fosnocht D) — Medical incidents and evacuations on wilderness expeditions
    Medical incidents and evacuations on wilderness expeditions
    Statistic
    Injuries occurred at 1.18 per 1,000 program-days; illnesses at 1.08 per 1,000 program-days across NOLS wilderness expeditions; sprains and strains were the most common injury class
    Excerpt
    “"Injuries occurred at a rate of 1.18 per 1000 program days, and illnesses at a rate of 1.08 per 1000 program days." [Paraphrase from abstract — full text paywalled] ”
    Source data from
    2007-12-01
    Accessed
    2026-05-28 · archived copy
    Calculation
    The NOLS injury rate is the cleanest per-day measure in the wilderness-medicine literature, but NOLS program-days are multi-day expeditions with packs, often off-trail, and student populations skewed young and adventurous. They are an upper-bound proxy for recreational day-hiking on maintained trails. We divide the NOLS rate by approximately three to land the per-hike-day medically- attended-injury rate near 1 in 2,500 — the value used as native.numerator/ denominator. The factor of three is a defensible mid-range adjustment: NOLS participants carry packs, hike off-trail, and accumulate continuous exposure across multi-week expeditions, all of which roughly triple injury risk per day relative to a four-hour Saturday day-hike on a Class 1 trail with no pack. The factor is the largest source of uncertainty in the entry's headline, reflected in the wide normalized.uncertainty band of 0.10 to 0.35.
    Independence
    Independent of all NPS-based sources. Same data lineage as Leemon and Schimelpfenig 2003 (1.07 per 1,000 program-days for 1999 to 2002) but a different time-window, not double-counting.
  3. [3] Wilderness & Environmental Medicine (Heggie TW, Amundson ME) — Dead men walking: search and rescue in US National Parks
    Dead men walking: search and rescue in US National Parks
    Statistic
    1992 to 2007: 65,439 SAR incidents involving 78,488 individuals; 2,659 fatalities, 24,288 ill or injured, 13,212 saves; mean 11.2 SAR incidents per day NPS-wide
    Excerpt
    “"From 1992 to 2007 there were 78,488 individuals involved in 65,439 SAR incidents. These incidents ended with 2659 fatalities, 24,288 ill or injured individuals, and 13,212 saves. On average there were 11.2 SAR incidents each day at an average cost of $895 per operation." [Paraphrase from abstract — full text paywalled] ”
    Source data from
    2009-09-01
    Accessed
    2026-05-28 · archived copy
    Calculation
    NPS-wide SAR totals over 16 years. 24,288 ill or injured divided by 16 years equals roughly 1,520 SAR-attended injuries per year. NPS visitation in this window averaged about 280 million visits per year, so the SAR-injured rate is roughly 5.4 per million visits and the long-run fatality rate roughly 0.6 per million visits. Heggie's separate work (2008, J Travel Med) attributes about 10 percent of fatalities to hiking-specific causes. Adjusting the all-visit denominator to hike-visits-only (hiking is roughly 30 percent of NPS visits, the remainder being scenic drives, picnics, and ranger-led activities), Heggie's long-run baseline implies a per-hike-visit fatality risk of approximately 0.6e-6 times 0.10 divided by 0.30 equals 2e-7, or about 1 in 5 million. Using Lane et al. 2015's modern baseline of 1.8 per million all-NPS-visits (better case capture rather than a true rising trend) with the same hike-share adjustment gives roughly 6e-7 per hike-visit, or 1 in 1.7 million. The fatality_per_hike_day figure in the regional_breakdown uses the modern Lane baseline as more representative of current case capture; the older Heggie baseline would imply a per-career fatality probability roughly three times lower. Across 600 hike-days at 6e-7 per day, the lifetime fatality probability is approximately 1 minus (1 minus 6e-7) to the 600th power equals roughly 0.00036, or about 1 in 2,800; at Heggie's 2e-7 it would be roughly 1 in 8,300. We report the modern figure in the body and flag the range in the caveats. This source supplies the SAR severity rung directly (5.4 per million NPS visits) and the long-run fatality floor; the modern fatality headline is derived jointly with Lane et al.
    Independence
    Shares the NPS-IRMA incident database with Lane et al. 2015. The Heggie and Lane numbers should not be arithmetically combined; both summarise the same reporting system at different points in time.
  4. [4] Wilderness & Environmental Medicine (Lane JE, Taylor B, Smith JE, Wheeler EC) — Emergency Medical Service in the US National Park Service: A Characterization and Two-Year Review, 2012 to 2013
    Emergency Medical Service in the US National Park Service: A Characterization and Two-Year Review, 2012 to 2013
    Statistic
    EMS responses totaled 40 calls per million visitors in 2012 and 34 calls per million visitors in 2013; trauma 49 percent, medical 51 percent; 262 fatalities in 2012, 238 in 2013 NPS-wide, traumatic fatalities approximately twice as common as nontraumatic
    Excerpt
    “"EMS responses totaled 40 calls per million visitors in 2012 and 34 calls per million visitors in 2013." "There were 262 total fatalities in 2012 and 238 in 2013, with traumatic fatalities occurring approximately twice as often as nontraumatic fatalities." [Paraphrase from abstract — full text paywalled] ”
    Source data from
    2015-09-01
    Accessed
    2026-05-28 · archived copy
    Calculation
    The modern (post-2010) per-visit EMS denominator. An EMS-call rate of roughly 37 per million NPS visits is broader than SAR — it includes parking-lot cardiac events and motor-vehicle crashes in addition to wilderness incidents. For a hiking-specific subset, dividing by approximately three (hiking is one of several activity contributors that trigger EMS) gives roughly 12 per million hike-visits or 1 in 80,000 per hike-day. This is the same order of magnitude as the Heggie SAR-injured rate, providing a cross-check on the SAR severity rung. The Lane EMS rate also implies a national NPS fatality rate of roughly 500 deaths per year across ~280 million visits, or about 1.8 per million visits — slightly higher than the long-run Heggie figure, reflecting better case capture rather than a real upward trend.
    Independence
    Same NPS reporting system as Heggie. Use Lane for the modern per-visit baseline and Heggie for the long historical aggregate; do not double-count.

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