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Likelier
Health · reviewed 2026-04-11

What are the odds of a serious traumatic brain injury in a lifetime?

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
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 33

3.0% lifetime chance

range 1 in 50 to 1 in 20

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 6.7 1 in 33

● your factors — click this risk ▾ to reveal

≈ As likely as

A single plain medical-style paper gown or hospital wristband resting on a pale surface, flat vector illustration in muted colors.

Perceived

Public framing of traumatic brain injury in the US is dominated by two images: the young athlete concussed on a football field, and the young soldier concussed by an IED. Both are real, both are important, and neither is where the bulk of serious TBI in the US actually happens. No major fear survey isolates "getting a serious TBI" as its own item — the closest proxies are fear of concussion in youth sports (high among parents of athletes) and fear of dementia (high among older adults, and often conflated with post-TBI cognitive decline in the popular press). Non-athlete, non-military adults under 65 generally treat serious TBI as a freak event that happens to someone else. That intuition is roughly right for the current year of their life and badly wrong for their remaining lifetime, which is the standard shape of a risk that concentrates sharply in old age.

Rough estimate: Most adults treat serious TBI as a sports-or-military problem and underweight their own lifetime exposure

Source: editorial intuition, not polled

Actual

~85 TBI-related hospitalizations per 100,000 per year (US, 2013)

US residents, all ages, TBI-related hospitalizations (Taylor et al. MMWR 2017)

Show derivation

Anchored on Taylor, Bell, Breiding & Xu (MMWR Surveillance Summaries 2017), which reports approximately 2.8 million TBI-related ED visits, hospitalizations, and deaths (TBI-EDHDs) in the US in 2013, of which ~2.5 million were ED visits, ~282,000 were hospitalizations, and ~56,000 were deaths. Against a 2013 US population of ~316 million, that is ~89 hospitalizations per 100,000 per year and ~18 deaths per 100,000 per year. The CDC's more recent (2020-2021) TBI data page reports ~214,110 TBI-related hospitalizations in 2020 and 69,473 TBI-related deaths in 2021 — a similar order of magnitude against a ~332 million US population (~64/100k hospitalizations, ~21/100k deaths), with some of the drop in hospitalizations attributable to pandemic-era reporting and coding changes. For a US adult over a 59-year remaining lifetime, flat-compounding the ~85/100k annual hospitalization rate would give 1 − (1 − 0.00085)^59 ≈ 0.049 (1 in 20), but that rate is a cross-sectional age-adjusted average that bakes in the very high pediatric and 75+ tails. Removing the pediatric years (the compounding starts at adulthood) and down-weighting the middle-age decades, the realistic US-adult lifetime probability of a hospitalization-level TBI lands near 0.03 (1 in ~33). The fatal subset — compounding ~20/100k/year over 59 years — lands near 0.008 (1 in ~125), and the "persistent disability from TBI" subset, using the ~5.3 million Americans living with TBI-related disability (CDC surveillance program legacy estimate) against the ~260 million US adult population, sits near 0.01 (1 in 100) as a cross-sectional prevalence that roughly approximates lifetime incidence.

Caveats: The single biggest caveat on this page is that "serious TBI" covers an enormous …

The single biggest caveat on this page is that "serious TBI" covers an enormous severity range, from a concussion admitted overnight for observation to a severe focal injury requiring craniotomy and leaving permanent deficits. The regional_breakdown rows pull those layers apart — roughly 1 in 2 adults will see a mild TBI in their lifetime, 1 in 33 will be hospitalized, 1 in 100 will live with persistent disability, and 1 in 125 will die of TBI — and the right number depends on which outcome you are actually asking about. The headline 1-in-33 is the hospitalization-level figure because that is both the best-measured stratum in the CDC surveillance pipeline and the outcome most readers mean when they say "serious TBI." The second caveat is the demographic mismatch between the cultural framing of TBI and the statistics. The US public conversation centers on young athletes (concussion in football, soccer heading, MMA, high school sports) and young service members (blast TBI from the post-9/11 deployments). Both are real, both produce the multipliers in the personal_factor_multipliers section, and neither describes where the majority of severe-TBI hospitalizations actually originate: the CDC and Taylor et al. data are unambiguous that falls in adults 75 and older are the largest single mechanism of severe TBI in the US, by a wide margin, and the rate is rising with population aging. The median severe-TBI patient in the US is not a 19-year-old linebacker but an 82- year-old who fell in a bathroom. Third: chronic traumatic encephalopathy (CTE) from repeated subconcussive impacts in contact sports and combat is a real and distinct entity from the single-impact TBI framework used on this page. CTE risk depends on cumulative subconcussive exposure, not on whether the athlete ever had a hospitalization-level concussion, and it deserves its own entry rather than being folded into this one. The contact-sport multiplier above applies to single-impact severe TBI only. Finally, the numerator on this page excludes TBIs that never reach an emergency department or hospital — solo falls that the patient "walked off", ring injuries that never got checked, military field-treated concussions that were not entered into a medical record. The true all-severity lifetime incidence is higher than what the Taylor et al. surveillance captures, by an unknown but non-trivial amount.

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
Any TBI ED visit (mild + severe), lifetime 1 in 2.5 Concussion-level events are common. The ~2.5 million annual TBI ED visits compounded across an adult lifetime produce a lifetime any-TBI probability approaching one in two, though most of those are mild TBI (concussion) that resolve within weeks.
Hospitalization-level TBI, lifetime 1 in 33 Headline number on this page. Roughly 1 in 33 US adults will be hospitalized for a TBI at some point in their remaining adult lifetime — derived from the ~282,000 annual TBI hospitalizations in the Taylor et al. 2013 surveillance and the age distribution of those hospitalizations.
Persistent disability from TBI, lifetime 1 in 100 Roughly 1 in 100. Approximated from the CDC TBI Surveillance Program legacy estimate of ~5.3 million Americans living with long-term TBI-related disability, against the ~260 million US adult population. Concentrates in moderate-to-severe TBI rather than concussion.
Fatal TBI, lifetime 1 in 125 Roughly 1 in 125. Compounds the ~20/100,000/year age-adjusted TBI death rate across an adult lifetime. Firearm suicide is now the single largest contributor to this number, followed by elderly falls and motor vehicle crashes.

Risks at similar odds

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

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Child fall head injury

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Adult-onset food allergy

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Air pollution

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Appendicitis

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Benzo dependence

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Cannabis use disorder

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Compare to:

The best-measured layer is hospitalization. The Taylor et al. 2017 MMWR surveillance counted roughly 282,000 TBI-related hospitalizations in the US in 2013 alongside ~2.5 million ED visits and ~56,000 deaths — a total of about 2.8 million TBI-related health events in a single year. The CDC’s current data page tracks a similar order of magnitude: ~214,000 hospitalizations in 2020 and ~69,000 TBI-related deaths in 2021. Compounded across a US adult lifetime and adjusted for the age concentration of the numerator, the probability that a US adult will be hospitalized for a TBI at some point comes out near 1 in 33. About 1 in 100 will live with persistent TBI-related disability, and about 1 in 125 will die of a TBI. Together this puts severe TBI in roughly the same lifetime order of magnitude as dying in a car crash — not an exotic low-probability event, but a standard background hazard.

What is interesting about this fear is how wrong the cultural framing is. The US public conversation about TBI is almost entirely about young athletes (NFL concussion litigation, youth soccer heading, MMA, high school football) and young service members (blast TBI from Iraq and Afghanistan). Both are real and both produce meaningful multipliers on personal risk. Neither describes where the majority of hospitalization-level TBI in the US actually happens. The CDC surveillance data is unambiguous that falls in adults 75 and older are the largest single mechanism of severe TBI in the country, by a wide margin, and the rate is rising with population aging. The median severe-TBI patient is not a 19-year-old linebacker. She is an 82-year-old who fell in a bathroom, and the headline she generates in her local paper, if any, reads “died after a fall at home” — the same demographically invisible accounting that powers the accidental-fall-death entry on this site.

The heterogeneity that matters most is age, then mechanism, then subgroup. Middle-aged adults with no contact-sport or military history are running the background baseline, and the number on this page is dominated by what will happen to them in their mid-seventies and later. Motorcycle riders add roughly a 4x multiplier on the serious-TBI hazard even controlling for other behaviors. Post-9/11 combat veterans add something like 5x, concentrated in the deployment and early-post-deployment years. Athletes in high-impact contact sports add roughly 2x on single-impact severe TBI — and a much larger but qualitatively different risk of chronic traumatic encephalopathy from repeated subconcussive impacts, which is a separate pathology from the single-impact framework used here and will get its own entry. The 1-in-33 headline is a population average that badly understates the 75+ tail and badly overstates the 30-something middle. Both of those facts are the same fact.

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] CDC Morbidity and Mortality Weekly Report, Surveillance Summaries (Taylor, Bell, Breiding & Xu 2017) — Traumatic Brain Injury-Related Emergency Department Visits, Hospitalizations, and Deaths — United States, 2007 and 2013
    Traumatic Brain Injury-Related Emergency Department Visits, Hospitalizations, and Deaths — United States, 2007 and 2013

    See all 2 Likelier entries citing this source →

    Statistic
    2013: approximately 2.8 million TBI-EDHDs in the US, comprising ~2.5 million ED visits, ~282,000 hospitalizations, and ~56,000 deaths. Falls were the leading mechanism at 413.2 per 100,000 (age-adjusted). Rate for age 75+ was 2,232.2 per 100,000.
    Excerpt
    “"In 2013, a total of approximately 2.8 million TBI-EDHDs occurred in the United States. This consisted of approximately 2.5 million TBI-related ED visits, approximately 282,000 TBI-related hospitalizations, and approximately 56,000 TBI-related deaths." ”
    Source data from
    2017-03-17
    Accessed
    2026-04-11 · archived copy
    Calculation
    Taylor et al. is the canonical US TBI surveillance paper and is the direct source of the native numerator (~282,000 US TBI hospitalizations/year ≈ 89/100,000/year in 2013) that we use for normalization. The same paper is also the source of the age-stratified rates used in the personal_factor_multipliers section: TBI rates at age 75+ are roughly 20x the rate among middle-aged adults, and falls are the leading mechanism for those older-adult hospitalizations. The shift noted in the paper — that intentional self-harm (primarily firearm suicide) surpassed motor vehicle crashes as the leading cause of TBI-related death between 2007 and 2013 — also feeds the fatal-TBI subset estimate and explains why the mortality number has risen while the hospitalization rate has flattened.
    Independence
    Upstream of most US TBI surveillance numbers. The CDC TBI data page we cite as the second authoritative source draws from the same National Vital Statistics System (for deaths) and state hospital discharge databases (for hospitalizations) as Taylor et al., so treat the two as one authoritative pipeline with two different vintages rather than as independent estimates.
  2. [2] CDC National Center for Injury Prevention and Control — TBI Data
    TBI Data
    Statistic
    ~214,110 TBI-related hospitalizations in 2020; 69,473 TBI-related deaths in 2021. Age-adjusted hospitalization rate: 79.9 per 100,000 (males), 43.7 per 100,000 (females). Age-adjusted death rate: 28.3 per 100,000 (males), 8.4 per 100,000 (females).
    Excerpt
    “"There were over 69,000 TBI-related deaths in the United States in 2021. That's about 190 TBI-related deaths every day." ... "Older adults are more likely to be hospitalized and die from a TBI compared to all other age groups." ”
    Source data from
    2024-05-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    This is the CDC's current TBI data landing page, providing the most recent headline figures: ~214,110 TBI-related hospitalizations in 2020 and 69,473 TBI-related deaths in 2021. These figures are slightly lower than the 2013 Taylor et al. headline (282,000 hospitalizations, 56,000 deaths) for hospitalizations and modestly higher for deaths, reflecting the ongoing increase in firearm suicide TBI and some decline in hospitalization coding during the pandemic. Combined with the ~332 million US population in 2021, the current rates are approximately 64/100,000/year (hospitalizations) and 21/100,000/year (deaths), which is the check figure against the 2013 numerator used in the normalized estimate. The roughly 3:1 male:female ratio on both hospitalizations and deaths is documented directly on this page.
    Independence
    Shares upstream datasets (NVSS, HCUP, NEISS-AIP) with Taylor et al. Used here for currency rather than as an independent measurement.
  3. [3] Journal of Neurotrauma (Haarbauer-Krupa et al. 2021) — Epidemiology of Chronic Effects of Traumatic Brain Injury
    Epidemiology of Chronic Effects of Traumatic Brain Injury
    Statistic
    Review of long-term outcomes following TBI; most patients recover within weeks but a meaningful subset develop persistent symptoms lasting months to years that significantly affect quality of life. Risk factors for persistent disability include age, pre-injury status, comorbid conditions, and injury mechanism.
    Excerpt
    “"Although many patients diagnosed with traumatic brain injury (TBI), particularly mild TBI, recover from their symptoms within a few weeks, a small but meaningful subset experience symptoms that persist for months or years after injury and significantly impact quality of life for the person and their family." ”
    Source data from
    2021-05-05
    Accessed
    2026-04-11 · archived copy
    Calculation
    Haarbauer-Krupa et al. is the modern peer-reviewed review of chronic TBI effects and is the source for the "persistent disability" framing of the headline number. It establishes that the persistent-symptoms subset is a minority of TBI cases overall but concentrates disproportionately in moderate-to-severe TBI, which is approximately the hospitalization-level subset we use as the main numerator. The review does not produce its own prevalence figure; for that we lean on the older CDC TBI Surveillance Program legacy estimate of ~5.3 million Americans living with a long-term TBI-related disability, which against a ~260 million US adult population gives the ~1 in 100 persistent-disability lifetime anchor.
    Independence
    Independent of the CDC surveillance pipeline: Haarbauer-Krupa et al. is a peer-reviewed synthesis that draws on the same underlying studies but applies independent editorial framing and risk-factor analysis.
  4. [4] National Academies of Sciences, Engineering, and Medicine (NASEM 2022) — The Scope and Burden of Traumatic Brain Injury (in: Traumatic Brain Injury: A Roadmap for Accelerating Progress)
    The Scope and Burden of Traumatic Brain Injury (in: Traumatic Brain Injury: A Roadmap for Accelerating Progress)
    Statistic
    TBI is the leading cause of death and disability in young adults in high-income countries; falls are the leading mechanism of TBI in the US overall, and motor vehicle crashes remain a major cause of severe TBI in younger adults. An estimated 5.3 million Americans live with a long-term TBI-related disability per the CDC TBI Surveillance Program.
    Excerpt
    “"Traumatic brain injury (TBI) is a serious public health problem in the United States. In 2014, approximately 2.87 million TBI-related emergency department visits, hospitalizations, and deaths occurred in the United States, including over 837,000 of these health events among children." ”
    Source data from
    2022-02-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    The NASEM Roadmap is the most recent authoritative synthesis of the US TBI burden and is used here as a secondary independent cross-check on the 2.8 million total TBI-EDHD figure. It also consolidates the long-term disability framing and the age-distribution caveats that are load-bearing for this page. Not used as the primary numerator because it draws on the same Taylor et al. surveillance vintage.
    Independence
    Synthesizes Taylor et al. and CDC TBI surveillance data, so it is not an independent measurement. Included for editorial framing and because it is the most recent authoritative expert review of the field.

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