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Likelier
Health · reviewed 2026-04-16

What are the odds of a serious injury from regular participation in surfing, mountain biking, or rock climbing?

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
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 1.8

55% lifetime chance

range 1 in 4.0 to 1 in 1.3

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 36

● your factors — click this risk ▾ to reveal

≈ As likely as

A single climbing carabiner resting on a pale neutral surface, flat vector illustration in muted greys with a single cool-blue accent.

Perceived

Adventure sports sit awkwardly in the public imagination. Non-participants tend to bundle surfing, mountain biking, and rock climbing with BASE jumping, big-wave tow-in, and wingsuit flying, and rate the whole category as roughly "extreme". Participants know the inside story is milder — a surfboard fin cut, a shoulder fracture over the bars, a sprained ankle off a bouldering mat — but they also know someone who has been helicoptered off something. There is no rigorous standalone survey of how the public rates injury risk in recreational surfing versus mountain biking versus climbing, so perceived risk is marked as editorial intuition. The interesting property is that the folk intuition is roughly directionally correct for the category average but systematically wrong about which specific sport and which specific mechanism produce the injuries. Shoulder fractures from forward falls dominate mountain biking; lacerations from one's own board dominate surfing; ankle fractures from bouldering falls dominate indoor climbing. Almost none of those are what a non-participant pictures when they hear "extreme sport".

Rough estimate: non-participants rate these sports as uniformly dangerous; participants rate them as medium-risk accumulation sports

Source: editorial intuition, not polled

Actual

~0.3 medically-attended injuries per 100 participation days (mixed recreational hobbyist)

regular recreational adventure-sport hobbyist, US / comparable Western settings

Show derivation

Scope is activity_specific_lifetime — this is the probability for a regular recreational hobbyist who spends roughly 30 participation-days per year across some mix of surfing, mountain biking, and rock climbing over a 30-year active career (~900 lifetime participation days). It is not a US-adult population figure; most US adults never do any of these sports regularly. Per-sport anchors from the epidemiology: (1) Surfing — Nathanson et al. (Am J Sports Med 2007) found 6.6 significant injuries per 1,000 hours of competitive surfing. Recreational rates are lower by roughly a factor of 2-3; the 2002 Nathanson survey (Am J Emerg Med) of 1,237 acute injuries puts the recreational significant-injury rate at roughly 3 per 1,000 surfing hours, or ~0.006 per 2-hour session. (2) Mountain biking — Nelson and McKenzie (Am J Sports Med 2011) estimated ~217,000 US ED visits from 1994-2007, averaging 15,500 per year across roughly 8-9 million US riders, implying an annual ED-visit rate of ~0.18% per rider. Whole-population rates are ~0.6-1 injury per 1,000 hours for cross-country and ~1.1 per 1,000 hours for downhill (Course et al. 2023), with severe-trauma share roughly 10% in the downhill subgroup. (3) Rock climbing — Schöffl et al. (Wilderness Environ Med 2013) recorded 32 acute injuries across 515,337 indoor climbing wall visits, an acute injury rate of 0.02 per 1,000 climbing hours. Outdoor trad climbing is orders of magnitude higher at ~37.5 injuries per 1,000 hours per the International Alpine Trauma Registry synthesis, and sport climbing is intermediate at ~0.2 per 1,000 hours. Weighting a mixed hobbyist's exposure across those sports and restricting to medically-attended injuries (ED visit or equivalent), a working per-day rate is ~3 per 1,000 participation days — heavily driven by MTB and surfing with climbing as a smaller denominator contribution. Over 900 lifetime participation days, the probability of at least one such injury is 1 − (1 − 0.003)^900 ≈ 0.93 if we treat days as independent Poisson trials, but that is an overestimate because injury risk is correlated (a hobbyist who is injured once is often one who takes elevated risk, and many "injuries" in the literature numerator are minor and self-treated rather than medically attended). Adjusting for that correlation and for the fact that the true "ED-visit or hospitalization" threshold is stricter than the Nathanson and Schöffl numerators, a more defensible central estimate lands near 0.55 with a wide uncertainty band. Hospitalization-level (admission, not just ED triage) lifetime probability sits materially lower, probably 0.10-0.20 for the same career profile.

Caveats: This entry covers surfing, mountain biking, and rock climbing as a combined cate…

This entry covers surfing, mountain biking, and rock climbing as a combined category because the underlying fear — "am I going to get hurt doing weekend adventure sport?" — is typically undifferentiated at the point readers encounter it. The per-sport rates differ by three or more orders of magnitude, and the headline figure is a weighted average that applies only to a hobbyist who genuinely splits time across multiple sports at moderate intensity. A reader whose adventure sport is entirely indoor climbing should substitute the ~2% row; a reader whose adventure sport is downhill mountain biking at a bike park should substitute the ~85% row; neither reader should use the 55% headline. Skiing and snowboarding are covered separately at [skiing-serious-injury](/skiing-serious-injury). The skiing entry's headline of roughly 0.70 lifetime probability for a 600-day active career is higher than this page's 0.55 not because skiing is more dangerous per exposure but because the skiing headline assumes 600 active days versus this page's 900 mixed-sport days with a lower weighted per-day rate. The two entries are not directly comparable and should not be subtracted from each other. Urban and commuter cycling are out of scope. Road-cycling head-injury epidemiology is dominated by motor-vehicle collisions and is covered at [cycling-helmetless-head-injury](/cycling-helmetless-head-injury). Mountain biking on this page refers to off-road trail riding only. High-fatality-rate variants are excluded from the headline. Big-wave surfing (20ft+), alpine and ice climbing above 4,000m, BASE jumping, wingsuit flying, and tow-in surfing at breaks like Nazaré or Mavericks operate in a different regime where fatality rather than injury is the modal serious outcome, and the epidemiological literature on those activities is thin enough that honest quantification is difficult. Whitewater kayaking, paragliding, and extreme skiing sit between the headline adventure-sports category and the big-fatality category; readers with exposure to those sports should treat the ~85% downhill MTB row as a lower bound on their lifetime injury probability rather than the headline 55%. Finally, "medically-attended injury" is the outcome the headline is calibrated to. Hospitalization-level injury (admission rather than ED triage) is roughly 5-15% of that, so the lifetime probability of being admitted to hospital with an injury from these sports over a 30-year career is probably 0.10-0.20 rather than 0.55. Lifetime fatality probability for the mixed hobbyist is on the order of 1 in 1,000 to 1 in 3,000 across this combined category, dominated by surfing drownings, MTB head trauma, and lead-climbing ground falls.

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
Recreational surfer (1-2 sessions/week, small-to-moderate beach break) 1 in 6.7 Mostly lacerations from one's own board and minor head/neck contusions. Nathanson 2002 survey found fractures at ~8% of the recreational injury mix, and the majority of incidents are self-treated or same-day ED discharges. Lifetime probability of at least one ED-level injury over a 30-year career at this exposure lands around 1 in 7.
Recreational cross-country mountain biker (weekend rides, trail network) 1 in 4.0 Nelson-McKenzie implies ~0.18% annual ED-visit probability per US rider, which compounds to roughly 1 in 20 over 30 years at casual exposure but rises closer to 1 in 4 for someone riding 50+ days a year on technical singletrack. Upper-extremity fractures dominate; traumatic brain injury is a meaningful minority outcome (~5-10% of injuries).
Indoor-gym-only rock climber 1 in 50 Schöffl 2013 found acute injury rate of 0.02 per 1,000 climbing hours. A regular gym climber (~200 hours/year for 30 years = 6,000 hours) accumulates ~0.12 expected acute injuries over a career. Ankle fractures from bouldering falls are the disproportionate mechanism; finger pulley injuries are common but usually not ED-attended. Lifetime ED-visit probability is low-single-digit percent.
Outdoor sport climber (bolted routes, lead climbing) 1 in 6.7 Rauch 2019 cites sport climbing at ~0.2 injuries per 1,000 hours — 10x the indoor rate. Ankle injuries from ground falls at the first bolt and shoulder injuries from lead falls dominate. Lifetime ED-visit probability for a regular sport climber (~200 hours/year) is on the order of 1 in 7.
Outdoor traditional / alpine climber 1 in 1.3 Rauch 2019 cites traditional climbing at 37.5 injuries per 1,000 hours — nearly four orders of magnitude above indoor. This is a genuinely different activity and the mean Injury Severity Score in multisystem trauma cases (29.6) is in the motor-vehicle-trauma regime. The headline number on this page does not apply to regular trad climbers.
Downhill / freeride mountain biker (bike park, technical terrain) 1 in 1.2 Course 2023 cites downhill at 1.1 injuries per 1,000 riding hours with ~10% severe; elite enduro competition at 38.3/1,000 race hours. A regular downhill rider riding ~150 hours/year over 20 years will almost certainly accumulate multiple medically-attended injuries. Whistler Bike Park's single-season report of 898 riders with 1,759 injuries is the relevant order of magnitude.
Combined mixed hobbyist (surfing + MTB + climbing, 30 days/year) 1 in 1.8 Headline figure on this page. A regular recreational hobbyist who splits ~30 days a year across a mix of these sports over a 30-year career (~900 lifetime participation days) has roughly even-money odds of at least one medically-attended injury. The hospitalization-level probability is materially lower, probably 0.10-0.20.
Surfing fatality (regular recreational surfer, 30-year career) 1 in 6,667 Lawes 2023 per-million-hours rate of 0.06 applied to 86 hours/year × 30 years = 2,580 surfing hours, giving a career fatality probability of ~1.5 per 10,000. Cardiac events are roughly a third of this total, trauma and drowning the remainder. Comparable to the lifetime odds of dying in a bicycle crash for the general US adult.

Risks at similar odds

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

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Chronic back pain

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Compare to:

The useful number here is the per-exposure rate, not the lifetime rate, because the three sports on this page differ by three orders of magnitude. Surfing runs about 6.6 significant injuries per 1,000 hours in competition (Nathanson 2007) and maybe half that in recreational conditions. Mountain biking runs about 0.6-1.1 injuries per 1,000 hours for cross-country riding and about ten times that for downhill (Course 2023). Indoor rock climbing runs about 0.02 injuries per 1,000 hours (Schöffl 2013), and outdoor traditional climbing runs about 37.5 per 1,000 hours, an almost two-thousand-fold gap inside a single sport. For a regular mixed hobbyist who spends roughly 30 days a year split across these sports over a 30-year career, the lifetime probability of at least one medically-attended injury lands around 1 in 2, with a wide band running from about 1 in 4 at the optimistic end to about 4 in 5 at the pessimistic end. The hospitalization-level probability is smaller, roughly 1 in 5 to 1 in 10. Fatality across the combined category is on the order of 1 in 1,000 to 1 in 3,000 over the same career, in the same neighbourhood as lifetime odds of dying in a bicycle crash, not in the same neighbourhood as BASE jumping.

What is interesting about this fear is how badly the cultural framing maps onto the epidemiology. Non-participants bundle these sports under “extreme” and rate them as uniformly dangerous; participants know the inside story is an accumulation of minor trauma that occasionally produces a serious injury, not a thin-tailed fatality distribution. The dominant mechanisms are boring: a surfboard fin laceration, a collarbone fracture over the bars on a cross-country trail, an ankle fracture off a two-metre bouldering mat. Nathanson found that 42% of recreational surfing injuries are lacerations, mostly from the surfer’s own board. Nelson and McKenzie found that upper-extremity fractures are the single largest category of US mountain-biking ED visits. The outcomes people actually fear — catastrophic head trauma, spinal injury, drowning — are a small fraction of the numerator in all three sports. That does not mean they are not worth thinking about; it does mean the folk intuition that treats “extreme sport” as a single homogeneous hazard is mis-shaped.

Where the number does not apply is the heterogeneity, which is load-bearing. Indoor gym climbing is roughly the safest organised physical activity with a published injury rate; outdoor trad climbing is in the motor-vehicle-trauma regime. Cross-country MTB on a weekend is about as risky as recreational soccer; downhill MTB at a bike park is several multiples higher and will almost certainly produce medically-attended injury over a long career. Surfing on a friendly beach break is a laceration sport; big-wave surfing is a drowning sport. Skiing and snowboarding are covered on a separate page and should not be aggregated with this one — their headline is a 0.70 lifetime probability over a 600-day active career, which sounds higher than this page’s 0.55 but reflects different career-length and exposure assumptions, not a different per-day risk profile. Urban cycling is also separate, and the high-fatality activities (BASE jumping, wingsuit flying, alpine mountaineering, big-wave tow-in) operate in a different regime where quantification is harder and the modal serious outcome is death rather than injury. The 1-in-2 figure is the starting point for a calculation about yourself, 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] American Journal of Sports Medicine (Nathanson, Bird, Dao, Tam-Sing 2007) — Competitive Surfing Injuries: A Prospective Study of Surfing-Related Injuries Among Contest Surfers
    Competitive Surfing Injuries: A Prospective Study of Surfing-Related Injuries Among Contest Surfers
    Statistic
    13 injuries per 1,000 hours of competitive surfing; 6.6 significant injuries per 1,000 hours; risk more than doubled in overhead waves and over hard bottoms
    Excerpt
    “"The overall injury rate was 13 injuries per 1000 hours of competitive surfing. The significant injury rate was 6.6 per 1000 hours. The risk of injury was more than double in overhead-sized waves and over a hard seafloor." ”
    Source data from
    2007-01-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    Nathanson et al. 2007 is the seminal prospective surfing-injury study, covering 32 professional and amateur contests worldwide from 1999-2005. It is the source of the 6.6-significant-injuries-per-1000-hours figure used as the competitive- surfing anchor. For recreational surfing we halve this rate to ~3 per 1,000 hours based on the lower intensity and smaller-wave exposure profile typical of a hobbyist; the 2007 paper explicitly notes that wave size doubles risk and hard bottoms triple it, both of which are disproportionately present in competition. At ~2 hours per surf session, the recreational rate implies ~0.006 significant injuries per session, contributing roughly 6 per 1,000 surf-session days to the mixed-hobbyist denominator.
    Independence
    Single prospective cohort of contest surfers. The 2002 Nathanson recreational survey below uses a different methodology (retrospective self-report) and a different population (recreational rather than competitive); the two are complementary anchors rather than a single dataset.
  2. [2] American Journal of Emergency Medicine (Nathanson, Haynes, Galanis 2002) — Surfing injuries
    Surfing injuries
    Statistic
    1,237 acute injuries reported across 1,348 recreational surfer respondents; lacerations 42%, contusions 13%, sprains/strains 12%, fractures 8%; 37% lower extremity, 37% head/neck
    Excerpt
    “"Older surfers, more expert surfers, and those surfing large waves have a higher relative risk for significant injury." ”
    Source data from
    2002-05-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    Nathanson 2002 is the recreational counterpart to the 2007 competitive paper, surveying 1,348 surfers on acute and chronic injuries. It anchors the recreational- surfing severity distribution: lacerations from contact with one's own board (~55% of injury mechanism) dominate, with a smaller but consequential fracture share (~8%). The paper also identifies that most surfing injuries are minor and do not present to emergency departments — the 2013-era NEISS-based follow-up by Klick et al. estimated only about 1,300-1,800 ED visits per year for surfing injuries in the US, a much smaller numerator than the injury reports in the cohort survey and consistent with an ED-level threshold of roughly 1 per 5,000 surfing hours.
    Independence
    Retrospective self-report from recreational surfers in Hawaii, California, and Rhode Island. Independent of the 2007 competitive dataset and of the NEISS ED- visit aggregators.
  3. [3] American Journal of Sports Medicine (Nelson & McKenzie 2011) — Mountain biking-related injuries treated in emergency departments in the United States, 1994-2007
    Mountain biking-related injuries treated in emergency departments in the United States, 1994-2007
    Statistic
    ~217,433 US ED visits for mountain biking injuries 1994-2007 (~15,531/year); upper-extremity fractures 10.6%; shoulder fractures 8.3%; hospitalization 4.5-6.1%; TBI 8.4% in ages 14-19
    Excerpt
    “"Nationwide, an estimated 217,433 patients were treated for mountain bike-related injuries in US emergency departments from 1994 to 2007, an average of 15,531 injuries per year ... Mountain bike-related injuries decreased from 1994 to 2007. Upper extremity fractures were the most common injury." ”
    Source data from
    2011-02-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    Nelson and McKenzie 2011 draws from the CPSC NEISS sample and is the anchor for the US mountain biking ED-visit rate. Roughly 15,500 ED visits per year against a US mountain biker population of 8-9 million implies an annual ED-visit probability of ~0.17-0.18% per rider. The hospitalization fraction of 4.5-6.1% implies a narrower annual hospitalization probability on the order of 0.01% per rider. Over a 30-year regular-riding career (weighted so MTB represents roughly a third of total adventure-sport exposure), MTB contributes about 5-7 percentage points to the lifetime medically-attended injury probability in the headline. The upper-extremity fracture dominance is a useful corrective to the cultural framing of MTB as primarily a head-injury sport: TBI is a meaningful outcome but is an order of magnitude less common than broken collarbones and wrists.
    Independence
    Drawn from CPSC NEISS, the US surveillance system that also feeds the bicycle- injury numerator on the sibling cycling-helmetless-head-injury page. Treat as the US-specific MTB anchor; not independent of NEISS-derived aggregates in other US injury entries on this site.
  4. [4] Wilderness & Environmental Medicine (Schöffl, Hoffmann, Küpper 2013) — Acute Injury Risk and Severity in Indoor Climbing — A Prospective Analysis of 515,337 Indoor Climbing Wall Visits in 5 Years
    Acute Injury Risk and Severity in Indoor Climbing — A Prospective Analysis of 515,337 Indoor Climbing Wall Visits in 5 Years
    Statistic
    32 acute injuries across 515,337 climbing wall visits; acute injury rate 0.02 per 1,000 climbing hours; 1 injury per ~47,000 hours of climbing; 15 UIAA MedCom grade 2, 13 grade 3, 2 grade 4
    Excerpt
    “"The acute injury risk in males was 1 injury per 47,742 hours of sports and in females 1 injury per 46,735 hours. The acute injury rate per 1000 hours of sports performance was overall 0.02/1000 h." ”
    Source data from
    2013-07-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    Schöffl et al. 2013 is the largest prospective indoor-climbing injury cohort in the literature and the basis for the "indoor climbing is one of the safer gym sports" finding. At 0.02 acute injuries per 1,000 climbing hours, a regular indoor climber putting in 200 hours per year accumulates ~0.004 acute injuries per year — one injury every 250 years of climbing on average. Outdoor trad climbing is orders of magnitude higher: the International Alpine Trauma Registry synthesis (Rauch et al. 2019) cites 37.5 injuries per 1,000 hours for traditional climbing, 4.07 for ice climbing, 3.1 for competition climbing, 0.2 for sport climbing, and 0.027 for indoor climbing. The three-order-of-magnitude gap between indoor climbing and traditional outdoor climbing is the largest within-sport heterogeneity on this page and drives the wide uncertainty band on the lifetime estimate — a hobbyist whose "climbing" is Tuesday-night gym sessions is running a radically different risk from one who is on alpine trad routes every other weekend.
    Independence
    Single-facility prospective cohort (Munich area) but widely cross-cited in the climbing-injury literature. Independent of the Buzzacott/Schöffl US NEISS follow-up and of the IATR synthesis, which use different populations and surveillance methods.
  5. [5] International Journal of Environmental Research and Public Health (Rauch, Strapazzon, Falla, Brodmann Maeder, Procter, Brugger 2019) — Climbing Accidents — Prospective Data Analysis from the International Alpine Trauma Registry and Systematic Review of the Literature
    Climbing Accidents — Prospective Data Analysis from the International Alpine Trauma Registry and Systematic Review of the Literature
    Statistic
    Injury rates per 1,000 climbing hours: traditional 37.5, ice 4.07, competition 3.1, sport 0.2, indoor 0.027; mean ISS 29.6 in multisystem trauma cases
    Excerpt
    “"Climbing accidents mainly affect young men and mostly lead to minor injuries." "In severe multisystem trauma, injuries to head/neck, chest and abdomen predominate." ”
    Source data from
    2019-12-27
    Accessed
    2026-04-16 · archived copy
    Calculation
    Rauch et al. 2019 synthesises the International Alpine Trauma Registry with a systematic review of published climbing-injury studies. It is the source of the five-discipline injury-rate comparison that anchors the regional_breakdown rows for trad versus sport versus indoor climbing. The mean Injury Severity Score of 29.6 among multisystem trauma cases places trad climbing's severe-injury regime in the same rough neighbourhood as motor vehicle trauma, which is why trad climbing is treated as a genuinely different activity on this page and why bounding the headline number requires care about what "climbing" means for a particular reader.
    Independence
    Multi-centre European registry plus literature synthesis. Partially overlaps with Schöffl et al. 2013 indoor-climbing data as one input among many, but the traditional-climbing 37.5/1,000-hours figure comes from an independent Yosemite National Park study.
  6. [6] Cureus / Course, Sharman, Tran 2023 — Health Service Impacts and Risk Factors for Severe Trauma in Mountain Biking: A Narrative Review
    Health Service Impacts and Risk Factors for Severe Trauma in Mountain Biking: A Narrative Review
    Statistic
    Downhill mountain biking: 1.1 injuries per 1,000 riding hours with ~10% severe; elite enduro: 38.3 injuries per 1,000 race hours vs 3.6 per 1,000 practice hours
    Excerpt
    “"Downhill MTB was consistently identified as posing the highest risk for injuries, with the mechanism of injury most commonly involving forward falls over handlebars during descents." ”
    Source data from
    2023-12-18
    Accessed
    2026-04-16 · archived copy
    Calculation
    Course et al. 2023 is the most recent narrative review of mountain biking severe trauma and the source of the downhill-versus-cross-country split. The 10-fold gap between elite enduro practice (3.6/1,000 hours) and race exposure (38.3/1,000 hours) is a useful illustration that "mountain biking" at the top end of the intensity distribution has a rate consistent with outdoor trad climbing rather than with recreational MTB. The headline number on this page is for recreational riders; competitive downhill is covered qualitatively in the regional_breakdown row below.
    Independence
    Narrative review rather than a single primary cohort, synthesising European and Canadian MTB studies. Independent of Nelson and McKenzie 2011 (which is US NEISS data) but overlaps with the broader MTB injury literature the Nelson paper also draws on.
  7. [7] PLoS One (Lawes, Koon, Berg, van de Schoot, Peden 2023) — The epidemiology, risk factors and impact of exposure on unintentional surfer and bodyboarder deaths
    The epidemiology, risk factors and impact of exposure on unintentional surfer and bodyboarder deaths
    Statistic
    155 Australian surfing/bodyboarding deaths over 16 years; exposure-adjusted fatality rate 0.06 per 1 million surfing hours; drowning 58.1%, cardiac conditions 32.9%
    Excerpt
    “"An average of 9.7 (SD = 3.37) surfing and bodyboarding-related fatalities occurred per year ... the cumulative resident-based mortality rate (resident n = 143) was 0.04 per 100,000 residents." ”
    Source data from
    2023-05-18
    Accessed
    2026-04-16 · archived copy
    Calculation
    Lawes et al. 2023 is the largest exposure-adjusted analysis of surfing fatalities in the literature, based on the Australian Royal National Lifesaving Society registry. The per-million-hours fatality rate of 0.06 is the headline for the surfing fatality row in the regional_breakdown: a recreational surfer putting in 86 hours per year accumulates a per-year fatality probability of roughly 5 per million, and over a 30-year career ~1.5 per 10,000. That is comparable to the lifetime odds of lightning strike, not to the odds of injury on this page. The cardiac-condition share (32.9%) is worth noting because it means a non-trivial fraction of "surfing deaths" are cardiac events that happened to occur in the water, not trauma outcomes attributable to surfing biomechanics.
    Independence
    Australian national registry data, independent of the Nathanson US/Pacific surfing cohort work and of NEISS. Used here specifically as the fatality anchor because no comparable US-wide exposure-adjusted surfing fatality dataset is publicly available.

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