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Perceived fear vs. actual probability

What are the odds of a US police officer dying in the line of duty over a career?

Lifetime probability · activity

~1 in 355

over a 25-year career

0.3% lifetime chance

Most people overestimate this.

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

Crime · reviewed 2026-05-16
Evidence quality 4.5/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence
Source Government statistic · Federal Bureau of Investigation, Uniform Crime Reporting Program
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 119 1 in 714

● your factors — click this risk ▾ to reveal

  1. Your factors
A police badge resting on a plain dark surface, flat vector illustration.

Perceived

Policing is widely understood to be one of the more dangerous occupations, and public perception — shaped by news coverage of officer ambushes, line-of-duty memorial ceremonies, and political debates over officer safety — tends to place it in an exceptionally hazardous category. Many people would guess that a career in law enforcement carries a meaningful chance of a violent death on the job. The fear is directionally correct — policing is genuinely more dangerous than most desk-based work — but the magnitude of the risk is substantially lower than both popular imagination and occupational mythology suggest. No standalone survey measuring public estimates of police career mortality was identified; perceived risk is characterized here as editorial intuition based on media salience and political framing of officer safety.

Rough estimate: most people overestimate police career mortality; the actual traumatic line-of-duty death risk over a 25-year career is under one percent

Source: editorial intuition, not polled

Actual

~11.3 traumatic occupational fatalities per 100,000 police/sheriff officers per year (BLS CFOI, 2023)

US police and sheriff's patrol officers (BLS CFOI occupation), 2023

Show derivation

Reference subgroup: a US police or sheriff's patrol officer serving a full 25-year career (the modal career length, reflecting average entry around age 25 and retirement between ages 50–55 under most state pension systems). The headline annual rate is the BLS Census of Fatal Occupational Injuries (CFOI) fatal-occupational-injury rate for "police and sheriff's patrol officers": 11.3 deaths per 100,000 officers for 2023 (BLS CFOI, reported by USAFacts). CFOI is the right basis here because it is coverage-matched by construction — BLS computes deaths per 100,000 full-time-equivalent workers, so the numerator (officer fatalities) and denominator (the officer workforce) describe the same population — and it counts traumatic fatal occupational INJURIES only, matching this entry's stated scope (it excludes illness/disease deaths, including COVID-19). Annual rate: 11.3/100,000 = 0.000113/year. Lifetime probability over a 25-year career: 1 − (1 − 0.000113)^25 ≈ 0.00282, rounded to 0.0028 (about 1 in 355). This figure covers only traumatic fatal injuries; it explicitly excludes occupational disease, 9/11-related illness, and COVID-19 deaths, which NLEOMF tracks separately and which account for roughly 35–50% of total officer line-of-duty deaths in recent years. The raw FBI LEOKA felonious-plus-accidental counts (a five-year mean of ~104 deaths per year across 2019–2023) are retained in the sources below only as the death-COMPOSITION breakdown (how officer traumatic deaths split between felonious acts and accidents) — they are NOT divided by the FBI's 600,120 figure to produce a per-officer rate, because 600,120 is the single-year 2023 count of officers only at the 10,884 agencies that reported ASSAULTS to LEOKA, not the national sworn workforce. Dividing a national death count by an assault-reporting subset denominator is a numerator/denominator coverage mismatch that inflates the per-officer rate; CFOI avoids this because its rate is coverage-matched. The scope is declared activity_specific_lifetime because this is career-specific risk for a defined occupational subgroup, not a general US-adult lifetime probability. Uncertainty band: the low (8.2/100,000 → ~0.0020) is the BLS CFOI 2023 rate for the broader "Protective service" occupation group (BLS Table 4); the high (14.4/100,000 → ~0.0036) is a coverage-matched cross-check dividing the LEOKA ~104-deaths/year mean by the true national full-time sworn workforce of ~720,000 officers (FBI-based national count), which also reflects the elevated 2021 fatality year.

Caveats: This figure covers only traumatic fatal occupational injuries (felonious acts an…

This figure covers only traumatic fatal occupational injuries (felonious acts and on-duty accidents), as measured by the BLS Census of Fatal Occupational Injuries. It excludes deaths from occupational disease, cancer linked to chemical exposures, heart disease, 9/11-related illness, and COVID-19, which the National Law Enforcement Officers Memorial Fund tracks separately and which account for roughly 35–50% of total officer line-of-duty deaths in recent years. Including those categories would roughly double the headline figure. The headline rate is the BLS CFOI police/sheriff-officer rate (11.3 per 100,000, 2023), which is coverage-matched by construction — deaths per 100,000 full-time-equivalent workers. An earlier version of this entry instead divided the FBI LEOKA five-year traumatic-death mean (~104/year) by 600,120, but 600,120 is only the count of officers at the agencies that reported ASSAULTS to LEOKA in 2023, not the national sworn workforce (~720,000+); that denominator was too small and inflated the rate to 17.3 per 100,000 and the career figure to 1 in 231. The corrected coverage-matched rate is lower. The career length of 25 years is a midpoint estimate; some officers retire at 20 years, others serve 30+. Non-fatal serious injuries number approximately 10,000–20,000 per year (BLS injury data), far exceeding the traumatic death toll.

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Compare to:

The headline career risk for a US police officer dying in the line of duty from violence or accident is roughly 1 in 355 over a 25-year career — about 0.28 percent. That number comes from the Bureau of Labor Statistics’ Census of Fatal Occupational Injuries (CFOI), which put the fatal-occupational-injury rate for police and sheriff’s patrol officers at 11.3 deaths per 100,000 officers in 2023. CFOI is the cleanest basis for this comparison because its rate is coverage-matched — it counts deaths per 100,000 full-time-equivalent workers, so the numerator and denominator describe the same population — and it counts traumatic injuries only, excluding disease and COVID-19. By most occupational safety comparisons, policing is genuinely more dangerous than average American employment — the all-industry occupational traumatic death rate runs around 3.5 per 100,000 workers per year, roughly a third of the law enforcement rate — but far less dangerous than commercial fishing (~100 per 100,000/year), logging (~99 — the deadliest occupation BLS tracks), roofing (~50), or the early US ground combat role in Iraq and Afghanistan (~160–200 per 100,000 deployed service members per year at peak). BLS ranked policing about 20th among occupations for on-the-job deaths in 2023. A career in policing carries several times the traumatic death risk of the average American job, not twenty times.

The wide gap between perception and reality on this question has several sources. News coverage of officer deaths is intense and nationally syndicated; the same death that would attract local coverage for a roofer or a logger receives wall-to-wall attention when it involves a law enforcement officer. Annual memorial ceremonies, legislative debates over officer safety, and the high symbolism attached to the uniform all amplify the salience of each death beyond its statistical weight. The 2019–2023 LEOKA data also show meaningful year-to-year variance: 2021 was the deadliest year in the five-year window, with 73 felonious and 56 accidental deaths (129 total), while 2019 was the lightest at 89 total. The elevated 2021 figure drove coverage suggesting a crisis-level surge; the underlying five-year average smooths that spike to about 104 deaths per year, a figure that has not changed dramatically in a generation. What has changed is the assault rate: the FBI reported 79,091 officer assaults in 2023, the highest in a decade, suggesting that the ratio of serious injuries to fatalities may be shifting even as traumatic deaths themselves remain relatively stable.

One important caveat: the ~1 in 355 figure is the narrow traumatic mortality risk. A broader accounting of occupational hazards substantially changes the picture. The National Law Enforcement Officers Memorial Fund counted 136 total line-of-duty deaths in 2023 — the same year LEOKA’s traumatic count was approximately 92 — because NLEOMF also includes fatal medical events, long-term illness attributed to occupational exposures (9/11 responder cancers, for example), and COVID-19. In recent years, disease and illness categories have accounted for 35–50% of total officer line-of-duty deaths. If those categories are included, the lifetime career mortality figure roughly doubles. The site reports the narrow traumatic figure both because BLS CFOI measures it on a coverage-matched, methodologically consistent basis and because the “occupational disease” attribution question — is this cancer from on-the-job chemical exposure, or coincidental? — is a hard causal problem that the traumatic-injury count wisely declines to attempt.

Traumatic line-of-duty deaths average about 104 a year among roughly 800,000 sworn US officers, or about 1 in 310 over a full 25-year career. Dangerous relative to most jobs, but well under the career-mortality many imagine for the badge.

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.

1/4 sources independently verified verbatim against the cited source

  1. [1] Federal Bureau of Investigation, Uniform Crime Reporting Program — Law Enforcement Officers Killed and Assaulted (LEOKA) — FBI UCR Program
    Law Enforcement Officers Killed and Assaulted (LEOKA) — FBI UCR Program
    Statistic
    2019–2023 annual felonious and accidental officer deaths: 89, 93, 129, 118, and approximately 92 respectively; five-year mean approximately 104 traumatic deaths per year (used here for death-composition only, not as a per-officer rate)
    Excerpt
    “"In 2022, 60 officers died as a result of felonious acts and 58 officers died in accidents, for a total of 118 line-of-duty deaths. In 2021, 73 officers were feloniously killed and 56 died accidentally (129 total). From 2021 to 2023, more officers were feloniously killed (194) than in any other consecutive three-year period in the past 20 years." ”
    Source data from
    2024-05-14
    Accessed
    2026-05-10 · archived copy
    Calculation
    LEOKA annual reports provide felonious + accidental death counts separately. These are the traumatic categories analogous to "line of duty" in the narrow sense; they exclude illness deaths. Five-year series: 2019 (89) + 2020 (93) + 2021 (129) + 2022 (118) + 2023 (~92) = 521 total / 5 years = 104.2/year. This mean is retained here ONLY as the death-COMPOSITION breakdown — the split of officer traumatic deaths between felonious acts and accidents. It is deliberately NOT divided by the FBI's 600,120 figure to produce a per-officer rate: the 2023 Special Report states that 10,884 agencies employing 600,120 officers reported 79,091 assaults, so 600,120 is the single-year count of officers only at the assault-REPORTING subset of agencies, not the national sworn workforce. Because the LEOKA death numerator spans officers and agencies outside that assault-reporting subset, dividing ~104 by 600,120 (the old basis, which yielded 17.3/100,000 and a 1-in-231 career figure) is a numerator/denominator coverage mismatch that inflates the per-officer rate. The headline rate is instead taken from the coverage-matched BLS CFOI series (11.3 per 100,000 police/sheriff officers, 2023), whose numerator and denominator describe the same population. As a cross-check, dividing ~104 LEOKA deaths by the true national full-time sworn workforce of ~720,000 gives ~14.4/100,000 — the upper end of the uncertainty band, and materially below the discredited 17.3 figure. Career probability at the CFOI headline rate over 25 years: 1 − (1 − 0.000113)^25 ≈ 0.0028 (0.28%, roughly 1 in 355).
    Independence
    FBI LEOKA is the primary federal government data collection on officer deaths, drawing from voluntary agency-level reporting across all 50 states and federal agencies. It is methodologically distinct from the NLEOMF count (which uses a broader definition including medical events and illness). Both sources are cross-checked here.
  2. [2] National Law Enforcement Officers Memorial Fund (NLEOMF) — 2023 Law Enforcement Fatalities Report Reveals Law Enforcement Deaths Dropped Verified
    2023 Law Enforcement Fatalities Report Reveals Law Enforcement Deaths Dropped
    Statistic
    2023: 136 total line-of-duty deaths; 47 by gunfire, 37 traffic-related, 5 COVID-19, 35 fatal medical events, 12 other; traumatic deaths (gunfire + traffic) = 84
    Excerpt
    “"In 2023, 136 federal, state, county, municipal, military, tribal, and campus officers died in the line of duty, representing a 39 percent decrease compared to the 224 officers who died in the line of duty in 2022. Firearms-related fatalities claimed the lives of 47 officers in 2023 — a 25 percent decrease from the 63 officers killed by gunfire in 2022. Traffic-related fatalities decreased 27 percent, with 37 deaths in 2023 compared to 51 in 2022." ”
    Source data from
    2024-01-10
    Accessed
    2026-05-10 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    NLEOMF's 2023 total of 84 traumatic deaths (47 gunfire + 37 traffic) cross-validates the LEOKA estimate of ~92 for 2023 (60 felonious + ~32 accidental). The ~8-unit gap reflects definitional differences: NLEOMF uses "traffic-related" which may subset differently from LEOKA's "accidental," and LEOKA covers some federal agencies not in the NLEOMF count. The NLEOMF figure of 47 gunfire deaths is consistent with FBI LEOKA's 60 felonious deaths (LEOKA includes non-firearm felonious causes; NLEOMF's 47 is firearm-specific regardless of felonious/accidental classification). Headline point estimate uses the FBI LEOKA 5-year mean; NLEOMF provides the 2023 cross-check.
    Independence
    NLEOMF is an independent nonprofit that maintains its own officer death registry, drawing on multiple sources including agency reports and media. Its definition of "line of duty death" is broader than FBI LEOKA's felonious+accidental categories, notably including occupational illness. The NLEOMF traumatic-only subset (gunfire + traffic) is used here to align methodologically with LEOKA's scope.
  3. [3] U.S. Department of Labor, Bureau of Labor Statistics — Table 4. Fatal work injury rates per 100,000 full-time equivalent workers by selected occupations, 2021-23 — Census of Fatal Occupational Injuries
    Table 4. Fatal work injury rates per 100,000 full-time equivalent workers by selected occupations, 2021-23 — Census of Fatal Occupational Injuries
    Statistic
    Fatal work injury rate per 100,000 full-time equivalent workers: Protective service occupation group 9.4 (2021), 10.2 (2022), 8.2 (2023); all workers 3.6 (2021), 3.7 (2022), 3.5 (2023)
    Excerpt
    “"Table 4. Fatal work injury rates(1) per 100,000 full-time equivalent workers by selected occupations, 2021-23 [...] All workers 3.6 3.7 3.5 [...] Protective service 9.4 10.2 8.2 [...] 1 Fatal injury rates are per 100,000 full-time equivalent (FTE) workers. [...] CFOI fatal injury counts exclude illness-related deaths unless precipitated by an injury event." ”
    Source data from
    2024-12-19
    Accessed
    2026-07-09 · archived copy
    Calculation
    BLS CFOI is the coverage-matched basis for this entry: it computes fatal occupational injuries per 100,000 full-time-equivalent workers, so the numerator (officer fatalities) and denominator (the officer workforce) describe the same population, and it counts traumatic fatal injuries only (illness-related deaths are excluded unless precipitated by an injury event), matching this entry's stated scope. Table 4 publishes the broad "Protective service" SOC group rate (8.2/100,000 in 2023), used here as the uncertainty low; the police-and-sheriff's-patrol-officers-specific 2023 rate of 11.3/100,000 (the headline basis) comes from BLS CFOI's detailed occupation series as reported by USAFacts. All-workers rate (3.5/100,000, 2023) supplies the general- occupation comparison in the prose. Annual headline rate 0.000113 → 25-year career 1 − (1 − 0.000113)^25 ≈ 0.0028 (~1 in 355).
    Independence
    BLS CFOI is a federal government census of fatal occupational injuries, methodologically independent of the FBI LEOKA collection (which counts officer deaths from agency reporting) and of the NLEOMF registry. Using CFOI for the headline rate removes the numerator/denominator coverage mismatch that afflicted the prior LEOKA-count-over- assault-reporting-workforce quotient.
  4. [4] USAFacts — How many police officers die in the line of duty in the US?
    How many police officers die in the line of duty in the US?
    Statistic
    BLS CFOI 2023: police officers' fatal-injury rate was 11.3 deaths per 100,000 officers; police ranked 20th among occupations for on-the-job deaths (logging highest at 98.9 per 100,000)
    Excerpt
    “"The BLS did not rank policing in the top 10 deadly professions in the US in 2023, the most recent year of available data. BLS ranks professions by the number of on-the-job fatalities per 100,000 full-time equivalent employees. [...] officers' rate was 11.3 deaths per 100,000 officers. [...] Police officers ranked 20th among occupations for on-the-job deaths." ”
    Source data from
    2024-05-16
    Accessed
    2026-07-09 · archived copy
    Calculation
    USAFacts republishes the BLS Census of Fatal Occupational Injuries police-and-sheriff's- patrol-officers rate of 11.3 deaths per 100,000 officers for 2023 — the headline basis for this entry. This is coverage-matched (BLS computes deaths per 100,000 FTE) and injury-only (excludes illness/COVID-19), matching the entry's scope. Annual rate 11.3/100,000 = 0.000113/year → 25-year career 1 − (1 − 0.000113)^25 ≈ 0.0028 (~1 in 355). The article notes policing ranked 20th among occupations for on-the-job deaths in 2023, well below logging (98.9/100,000).
    Independence
    USAFacts is a nonpartisan nonprofit that compiles and republishes US government statistics with source attribution; the 11.3/100,000 figure is attributed by USAFacts to the Bureau of Labor Statistics CFOI. It is cited here because BLS's detailed occupation-level CFOI rate for police officers is not exposed on a single stable bls.gov HTML page, whereas BLS Table 4 (also cited) provides the coverage-matched methodology and the adjacent Protective-service group rate.

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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