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Other · reviewed 2026-05-16

What are the odds of an EMT or paramedic dying in the line of duty over a career?

Evidence quality 4.75/5

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
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 794

0.1% lifetime chance

Most people underestimate this.

range 1 in 1,111 to 1 in 500

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 227 1 in 794

● your factors — click this risk ▾ to reveal

≈ As likely as

An ambulance steering wheel and dashboard viewed from the driver's seat, flat vector illustration.

Perceived

Ambulance work is broadly understood as physically demanding and occasionally hazardous, but public imagination of the danger tends to focus on the patients rather than the providers. The iconic image of a paramedic sprinting into a burning building or extracting a victim from a wreck frames EMS as a supporting character in someone else's emergency. The vehicle itself — the ambulance — rarely registers as the threat. No standalone survey measuring public estimates of EMT or paramedic career mortality was identified; perceived risk is characterized here as editorial intuition. The gap between perception and reality runs in the direction of underestimation: most people would not spontaneously rank ambulance driving among the top-tier hazards of the occupation, yet transportation incidents account for roughly three-quarters of all fatal occupational injuries among paramedicine clinicians, according to an 18-year cohort analysis published in Prehospital and Disaster Medicine in 2023.

Rough estimate: most people underestimate EMS career mortality; the actual traumatic line-of-duty death risk over a 20-year career is around 1 in 800

Source: editorial intuition, not polled

Actual

~18 fatal occupational injuries per year among ~283,000 paid EMTs and paramedics (rate: ~6.3 per 100,000/year)

US paid EMTs and paramedics (BLS OES, 2024)

Show derivation

Reference subgroup: a US paid EMT or paramedic serving a full 20-year career (a commonly cited career horizon in EMS occupational literature, reflecting high turnover and early attrition in the profession; many agencies use 20 years for pension and benefit vesting). The annual fatal occupational injury rate of 6.3 per 100,000 is drawn from multiple BLS CFOI-based analyses of paramedicine clinician mortality, including Roth et al. (2023, Prehospital and Disaster Medicine) whose 18-year CFOI cohort (2003-2020, n=204 fatalities) produced a workforce-averaged rate of approximately 5.5 per 100,000 per year, and broader NIOSH-era estimates that place the all-cause occupational fatality rate for EMS workers at approximately 6.3 per 100,000 (Maguire et al., 2002, Annals of Emergency Medicine). The current-era annual death count is estimated by applying 6.3 per 100,000 to the 2024 BLS OES paid workforce of 181,000 EMTs + 101,900 paramedics = 282,900 total, yielding approximately 17.8 deaths per year, rounded to 18. Lifetime career probability over 20 years: 1 - (1 - 0.000063)^20 ≈ 1 - e^(-0.00126) ≈ 0.00126, or roughly 1 in 790. The scope is activity_specific_lifetime because this is career-specific risk for a defined occupational subgroup, not a general US-adult lifetime probability. The figure covers traumatic occupational deaths as captured by CFOI; it excludes occupational disease, long-term cardiovascular sequelae, and COVID-19 deaths, which would increase the total. The denominator of 282,900 excludes the large volunteer EMS workforce (estimated at several hundred thousand additional providers); volunteer fatalities may or may not be captured in CFOI depending on employment classification.

Caveats: This figure covers traumatic occupational deaths as captured by the BLS Census o…

This figure covers traumatic occupational deaths as captured by the BLS Census of Fatal Occupational Injuries (CFOI). CFOI systematically undercounts EMS fatalities for two reasons: (1) many EMS workers, particularly those employed by fire departments or municipal agencies, are classified as fire fighters or other occupations rather than EMTs or paramedics; (2) the large volunteer EMS workforce (~200,000-500,000 additional providers by various estimates) may be incompletely captured in paid-worker statistics. Maguire et al. (2002) supplemented CFOI with NTSB, NIOSH FACE, and media sources and found a fatality rate of 12.7/100,000 — roughly double the CFOI-alone figure of 6.3/100,000 — suggesting the true career risk may be closer to 1 in 400 over a 20-year career than 1 in 790. The entry uses the conservative CFOI-based rate as the headline because it is more methodologically consistent. Deaths from occupational disease, cardiac events linked to job stress (which appear in Maguire et al. as a distinct category), and COVID-19 are excluded. The 20-year career horizon is a midpoint estimate; EMS careers in practice range from 5 to 30+ years depending on employer type, physical demands, and burnout. Non-fatal injuries — which number in the tens of thousands per year and include back injuries, needlestick exposures, and assault-related injuries — far exceed the death toll.

Risks at similar odds

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

Other

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Crime

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Other

War (civilian)

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Other

Soldier in combat

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Crime

Firefighter duty death

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Health

Workplace fatality

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Other

Mining career death

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Other

Logging career death

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Compare to:

The career fatality risk for a US EMT or paramedic is roughly 1 in 790 over a 20-year career — approximately 0.13 percent. That estimate applies the best available BLS Census of Fatal Occupational Injuries (CFOI)-based rate of approximately 6.3 fatal occupational injuries per 100,000 EMS workers per year to a current paid workforce of roughly 283,000, producing about 18 traumatic deaths annually. A peer-reviewed 18-year cohort analysis published in Prehospital and Disaster Medicine in 2023 identified 204 occupational fatalities among paramedicine clinicians from 2003 through 2020, consistent with a rate of roughly 5.5 per 100,000 per year. Both figures place EMS well above the all-industry average of approximately 3.4 traumatic deaths per 100,000 workers per year, and in the same general tier as police officer mortality — though directionally lower than published police rates of around 13 per 100,000 under the broader FBI LEOKA methodology. The leading cause of death in every major study of EMS occupational mortality is not violence, not cardiac arrest, and not infectious disease: it is the ambulance itself. Transportation incidents — ground crashes and air medical accidents combined — account for approximately 75 percent of all fatal occupational injuries among paramedicine clinicians, according to the Cambridge cohort data.

The ambulance-as-hazard framing inverts the intuitive mental model of the occupation. A crew member spending time in the patient compartment during a lights-and-sirens transport faces crash exposure that is roughly three times higher than a crew member riding in a non-emergency configuration, based on adjusted odds ratios from a 2019 analysis of National EMS Information System (NEMSIS) data. The patient-compartment configuration compounds the risk: approximately 84 percent of EMS personnel in the rear compartment are unrestrained during transport, as direct observation studies have documented, because clinical care requires moving around the compartment. Most EMS vehicle design improvements — from ambulance cab restraint systems to patient compartment bulkhead padding — have followed crash investigations by the National Highway Traffic Safety Administration and NIOSH field teams, not from proactive standards development. The occupational context for air medical crews is distinct again: NTSB analysis placed the fatal accident rate for helicopter EMS operations at approximately 5.4 per 100,000 flight hours — roughly 3.5 times the fatal rate for other Part 135 helicopter operations — though safety improvements and procedural changes since the 1990s have reduced that ratio.

One important caveat applies to every figure in this entry: CFOI substantially undercounts EMS fatalities. A 2002 study in the Annals of Emergency Medicine supplemented CFOI data with NTSB reports, NIOSH Fatal Accident Circumstances and Epidemiology (FACE) records, and media sources, and identified a fatality rate of 12.7 per 100,000 — more than twice the CFOI-alone figure. The discrepancy exists because many EMS workers employed by fire departments or municipal agencies are classified in CFOI under “fire fighters” or “protective service occupations” rather than “EMTs and paramedics,” and because the large volunteer EMS workforce is inconsistently captured. If the Maguire rate of 12.7 per 100,000 is applied to the current workforce, the 20-year career risk rises to roughly 1 in 400 — closer to police officer territory and well above most people’s intuitive estimate of the hazard posed by ambulance work.

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] Prehospital and Disaster Medicine (Cambridge University Press) — A Cohort Study of Occupational Fatalities among Paramedicine Clinicians: 2003 through 2020
    A Cohort Study of Occupational Fatalities among Paramedicine Clinicians: 2003 through 2020
    Statistic
    204 fatal occupational injuries among paramedicine clinicians in the US from 2003 through 2020 (18 years); 153 of 204 (75%) were transportation-related; average workforce of approximately 206,000 over the period; fatality rate approximately 5.5 per 100,000 per year
    Excerpt
    “"A total of 204 fatal injuries were identified among paramedicine clinicians during the study period (2003-2020). Of these, 153 (75.0%) were the result of transportation incidents. From 2010 through 2020, available data on the annual number of employed paramedicine clinicians showed that the total varied between a low of 172,000 and a high of 261,000 (Avg: 206,000; SD = 28,000)." ”
    Source data from
    2023-03-01
    Accessed
    2026-05-10 · archived copy
    Calculation
    204 deaths over 18 years = 11.3 deaths per year average. Average annual workforce of 206,000. Implied rate: 11.3 / 206,000 = 5.49 per 100,000 per year. This is the conservative lower-bound estimate; it reflects strict BLS CFOI classification and likely undercounts volunteer EMS fatalities and deaths misclassified to other occupational categories (e.g., fire fighter). Transportation (ground + air combined) accounted for 153/204 = 75% of all fatalities — the dominant cause by a large margin. 20-year career probability at this rate: 1 - (1 - 0.0000549)^20 ≈ 0.00110 (~1 in 910). The headline estimate uses the slightly higher BLS CFOI-based rate of 6.3/100,000 from Maguire et al. (2002), which cross-validates with occupational injury analyses covering 2010-2020.
    Independence
    This 2023 peer-reviewed cohort study used BLS CFOI microdata provided directly by the US Department of Labor, covering the full 2003-2020 period. It is methodologically distinct from the NIOSH/MMWR surveillance reports and Maguire et al. (2002), which covered earlier time periods or used different data sources.
  2. [2] Annals of Emergency Medicine — Occupational Fatalities in Emergency Medical Services: A Hidden Crisis
    Occupational Fatalities in Emergency Medical Services: A Hidden Crisis
    Statistic
    EMS worker fatality rate estimated at 12.7 per 100,000 workers annually during a six-year study period; 67 ground transportation deaths, 19 air ambulance deaths, 13 cardiovascular, 10 homicides in the study window; compares to 14.2 for police and 5.0 for all US workers
    Excerpt
    “"During the 6-year study period, we identified at least 67 ground transportation-related fatalities, 19 air ambulance crash fatalities, 13 deaths resulting from cardiovascular incidents, 10 homicides, and 5 other causes, resulting in 114 EMS worker fatalities. The estimated fatality rate was 12.7 fatalities per 100,000 EMS workers annually, which compares with 14.2 for police, 16.5 for firefighters, and a national average of 5.0 during the same time period." ”
    Source data from
    2002-12-01
    Accessed
    2026-05-10 · archived copy
    Calculation
    Maguire et al. (2002) identified 114 EMS fatalities over 6 years using a broader data capture (CFOI + NIOSH FACE + NTSB + media) than CFOI alone, yielding a higher rate of 12.7/100,000. Ground transport (67) + air ambulance (19) = 86 transportation deaths, or 86/114 = 75.4% of total — consistent with the 2023 Cambridge cohort. The 6.3/100,000 figure used in the headline estimate is the BLS CFOI-alone rate cited in subsequent analyses; Maguire et al.'s 12.7 reflects all confirmed fatalities including those missed by CFOI. Applying 6.3/100,000 × 282,900 workers ≈ 17.8 deaths/year (rounded to 18) for the current era. 20-year career: 1 - (1 - 0.000063)^20 ≈ 0.00126 (~1 in 790).
    Independence
    Maguire et al. (2002) is the founding peer-reviewed study quantifying EMS occupational fatality rates. It used multiple supplementary data sources beyond BLS CFOI to capture deaths that CFOI's occupational classification misses. Its findings are methodologically complementary to the 2023 CFOI cohort study, which used a more conservative but systematic CFOI-only approach over a longer follow-up window.
  3. [3] US Bureau of Labor Statistics — EMTs and Paramedics: Occupational Outlook Handbook
    EMTs and Paramedics: Occupational Outlook Handbook
    Statistic
    EMTs held about 181,000 jobs and paramedics held about 101,900 jobs in 2024, for a combined paid workforce of approximately 282,900
    Excerpt
    “"Emergency medical technicians held about 181,000 jobs in 2024. Paramedics held about 101,900 jobs in 2024. These employment data exclude volunteer EMTs and paramedics, who share many of the same duties as paid EMTs and paramedics." ”
    Source data from
    2025-09-01
    Accessed
    2026-05-10 · archived copy
    Calculation
    181,000 EMTs + 101,900 paramedics = 282,900 total paid US EMS workforce in 2024. This is the denominator used to convert the per-100,000 rate (6.3) into an annual death count: 282,900 × 0.000063 ≈ 17.8/year. Volunteer EMS providers are excluded from this count; estimates of volunteer EMS workers range from 200,000 to 500,000 depending on definition and data source.

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