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Likelier

Perceived fear vs. actual probability

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

Lifetime probability · activity

~1 in 910

over a 20-year career

0.1% lifetime chance

Most people underestimate this.

Scopes vary — shown as typical adult lifetime odds. See methodology.

Other · reviewed 2026-05-16
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
Source Government statistic · US Bureau of Labor Statistics
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 260 1 in 909

● your factors — click this risk ▾ to reveal

  1. Your factors
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 900

Source: editorial intuition, not polled

Actual

~16 fatal occupational injuries per year among ~283,000 paid EMTs and paramedics (rate: ~5.5 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 approximately 5.5 per 100,000 comes from Roth et al. (2023, Prehospital and Disaster Medicine), an 18-year BLS CFOI cohort (2003-2020, n=204 fatalities, average workforce 206,000) that the study itself describes as 60% higher than the rate for all US workers over the same period. Maguire et al. (2002, Annals of Emergency Medicine) found a higher rate of 12.7 per 100,000 using three reconciled fatality databases (CFOI, the National EMS Memorial Service, and NHTSA's Fatality Analysis Reporting System) over an earlier and shorter 1992-1997 window; that figure is treated here as an alternate, higher-end scenario (see caveats) rather than the headline, because the 2023 cohort is longer-running, more recent, and CFOI-only. The current-era annual death count is estimated by applying 5.5 per 100,000 to the 2024 BLS OES paid workforce of 181,000 EMTs + 101,900 paramedics = 282,900 total, yielding approximately 15.6 deaths per year, rounded to 16. Lifetime career probability over 20 years: 1 - (1 - 0.000055)^20 ≈ 0.0011, or roughly 1 in 910. 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) reconciled CFOI with the National EMS Memorial Service and NHTSA's Fatality Analysis Reporting System over an earlier, shorter 1992-1997 window and found a fatality rate of 12.7/100,000 — more than double the CFOI-cohort figure of 5.5/100,000 above — suggesting the true career risk may be closer to 1 in 400 over a 20-year career than 1 in 910. The entry uses the more recent, longer- running CFOI-only cohort rate as the headline because it reflects a single systematic methodology over 18 years (2003-2020) rather than a three-database reconciliation over an earlier 6-year window. 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.

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Compare to:

The career fatality risk for a US EMT or paramedic is roughly 1 in 910 over a 20-year career — approximately 0.11 percent. That estimate applies a BLS Census of Fatal Occupational Injuries (CFOI)-based rate of approximately 5.5 fatal occupational injuries per 100,000 EMS workers per year — drawn from a peer-reviewed 18-year cohort analysis published in Prehospital and Disaster Medicine in 2023 that identified 204 occupational fatalities among paramedicine clinicians from 2003 through 2020 — to a current paid workforce of roughly 283,000, producing about 16 traumatic deaths annually. That same study found the rate to be 60 percent higher than the rate for all United States workers over the same period, placing EMS well above the all-industry average of approximately 3.3 traumatic deaths per 100,000 workers per year (2024 BLS data), and in the same general tier as police officer mortality — though directionally lower than published police rates of around 13 per 100,000. 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 patient compartment were unrestrained at the time of a crash, according to NHTSA Special Crash Investigations data, 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 reconciled CFOI with the National EMS Memorial Service and NHTSA’s Fatality Analysis Reporting System over an earlier, shorter 1992-1997 window, and identified a fatality rate of 12.7 per 100,000 — more than twice the CFOI-cohort figure above. 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.

Traumatic on-duty death for EMTs and paramedics runs about 1 in 790 over a 20-year career — roughly 18 fatal injuries a year across 283,000 workers. The job's mortality is usually underestimated, and ambulance crashes are the main driver.

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, which the study itself describes as 60% higher than the rate for all United States workers over the same period (95% CI, 1.24 to 2.04) and eight times higher than the rate for other health care practitioners (95% CI, 5.8 to 10.1). This rate 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). This entry uses this 5.5-per-100,000 CFOI-cohort rate as the headline estimate; the older Maguire et al. (2002) rate of 12.7 per 100,000 is treated as an alternate, higher-end scenario (see caveats) because it draws on different fatality databases over an earlier and shorter (1992-1997) study window.
    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 a 6-year window, reconciled across three databases (Census of Fatal Occupational Injuries, 1992-1997; National EMS Memorial Service, 1992-1997; and NHTSA's Fatality Analysis Reporting System, 1994-1997), yielding a 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's 75% transportation share. This entry's headline estimate instead uses the 5.5/100,000 rate from the 2023 Cambridge CFOI-only cohort (source above), because it is longer-running (18 years vs. 6) and more recent; Maguire's 12.7/100,000 is treated as an alternate, higher-end scenario (see caveats). Applying 12.7/100,000 to 282,900 current workers ≈ 35.9 deaths/year; 20-year career at that rate: 1 - (1 - 0.000127)^20 ≈ 0.00252 (~1 in 400).
    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 (5.5, from the Cambridge cohort above) into an annual death count: 282,900 × 0.000055 ≈ 15.6/year, rounded to 16. 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.
  4. [4] US Bureau of Labor Statistics — Census of Fatal Occupational Injuries Summary, 2024
    Census of Fatal Occupational Injuries Summary, 2024

    See all 2 Likelier entries citing this source →

    Statistic
    All-industry US fatal work injury rate was 3.3 per 100,000 full-time-equivalent workers in 2024, down from 3.5 in 2023
    Excerpt
    “"The fatal work injury rate was 3.3 fatalities per 100,000 full-time equivalent (FTE) workers in 2024, a decrease from a rate of 3.5 in 2023." ”
    Source data from
    2026-02-19
    Accessed
    2026-07-03 · archived copy
    Calculation
    This is the all-industry CFOI topline rate, used in the body prose as the comparison baseline against the EMS-specific headline rate of 5.5 per 100,000 (2003-2020 cohort study above) — roughly double the all-worker average. It is the same BLS CFOI program as the EMS cohort study cited above, reporting the all-industry topline rather than the EMS occupational subset; it is an independent annual release, not a re-derivation of the EMS-specific figures.
  5. [5] EMS World (reporting NHTSA Special Crash Investigations data) — A National Perspective on Ambulance Crashes and Safety
    A National Perspective on Ambulance Crashes and Safety
    Statistic
    38 of 45 EMS providers (84%) in the ambulance patient compartment were unrestrained at the time of a crash, per NHTSA Special Crash Investigations reviewed over more than a decade
    Excerpt
    “"Of the 45 providers in the patient compartment at the time of the crash, only 7 (16%) were wearing a seat belt at the time of the crash, meaning 38 (84%) were unrestrained." ”
    Source data from
    2015-09-01
    Accessed
    2026-07-03 · archived copy
    Calculation
    NHTSA's Special Crash Investigations program conducted more than 50 in-depth ambulance crash reviews over a decade-plus window; this EMS World analysis reports that 38 of 45 patient-compartment providers across those investigations (84%) were unrestrained at the time of the crash. This is the source for the "approximately 84 percent... unrestrained" figure in the body prose, offered as a structural explanation for why lights-and-sirens transport crash exposure translates into elevated EMS occupational risk.

434 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 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 Skipping care over ICE fear — 1 in 7.1 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 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 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 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 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 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 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 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 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 2.3 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 9.8 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 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 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 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 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 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 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 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 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 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 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 Parent death/disability — 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 26 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 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved 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 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 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 Dying without heir — 1 in 100 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 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 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 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 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 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 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 709 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 159 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 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 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 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 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 Child nicotine-pouch ingestion — 1 in 7,937 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 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 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 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 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 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 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 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 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 Crocodile attack — 1 in 337,838 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 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 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 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
Lottery jackpot 1 in 95,238

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