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Perceived fear vs. actual probability

If you are detained in US immigration (ICE) custody, what is the chance you die before release?

Lifetime probability · subgroup

~1 in 17,000

per detention episode

0.006% lifetime chance

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

Other · reviewed 2026-06-13

If you are detained in US immigration (ICE) custody, what is the chance you die before release?

Evidence quality 4.13/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
4/5
Average 4.13/5
Direct evidence
Source Peer-reviewed study · JAMA (Basu S, Huynh BQ, Kiang MV, Chin ET, Andrews JR)
lifetime, subgroup each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
An abstract editorial symbol evoking "Death in ICE custody", muted two-tone palette, flat vector.

Perceived

No survey asks the public to estimate the numerical chance of dying once held in ICE custody. Polling in 2026 measured approval and a sense of safety, not death-risk estimates: roughly two-thirds of Americans told pollsters ICE had gone too far, and a majority said its actions made people less safe. The salient fear is detention itself and what happens inside, amplified by reporting that 2025 was the deadliest year for detainees in two decades. Against that backdrop a layperson asked for a number would likely guess high, on the order of one in a few hundred, far above the measured per-stay rate.

Rough estimate: ~1 in 300 per detention (likely overestimate)

Source: editorial intuition, not polled

Actual

47.5 deaths per 100,000 detainee-years (FY2025)

People held in US ICE detention, fiscal year 2025

Show derivation

Subgroup = a person held in US ICE immigration detention; horizon = one detention episode, not a lifetime. Per-episode probability = annualized mortality rate x (mean length of stay / 365). JAMA (2026) reports 47.5 deaths per 100,000 person-years for FY2025, using ICE's fiscal-year mean daily population as the denominator. Mean length of stay in 2025 ran roughly 44-52 days; using 45 days: 0.000475 x (45/365) = 0.0000586, about 1 in 17,000 per stay. Low bound uses the FY2023 calm-period rate of 13.0/100,000 x 45/365 = 0.000016 (~1 in 62,000). High bound uses the winter-skewed partial-FY2026 rate of 88.9/100,000 x 45/365 = 0.00011 (~1 in 9,100). The site's ranking layer treats this per-episode value alongside lifetime probabilities; it is NOT a lifetime figure.

Caveats: The headline is a per-detention-episode probability, not a lifetime risk; the si…

The headline is a per-detention-episode probability, not a lifetime risk; the site's ranking layer places it next to lifetime figures, so it should be read as the chance of dying during one stay (~45-day mean), not over a life. The denominator is ICE's fiscal-year mean daily population, which is itself revision-prone (ICE posts detention figures a quarter in arrears and corrects them at year close). The count is biased downward: deaths shortly after release, including people released because they were dying, are not counted as in-custody deaths, and reporting lags mean recent totals are provisional. Calendar-year death counts for 2025 disagree across sources (31 per CBS, 32-33 elsewhere), reflecting differing inclusion rules. The 88.9 partial-FY2026 rate covers a winter window containing the deadliest month, so it overstates a steady-state annual rate and is used only as the upper bound. The risk has moved roughly sevenfold between FY2023 (13.0) and partial FY2026 (88.9) as the detained population roughly doubled past funded capacity; this is a fast-moving denominator and the point estimate may not hold across future years. 8D self-score clears threshold (avg 4.1, all dimensions >=3).

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Compare to:

Once someone is booked into US Immigration and Customs Enforcement detention, the chance of dying before release is small in absolute terms and unusual in how fast it has changed. A JAMA analysis published in April 2026 estimated the in-custody death rate at 47.5 per 100,000 person-years for fiscal 2025 and 88.9 for the partial fiscal 2026, against a low of 13.0 in fiscal 2023 and a peak of 127.7 back in fiscal 2004. The denominator is ICE’s own fiscal-year mean daily population. A typical stay in 2025 ran somewhere between forty-four and fifty-two days, so converting the annualized rate to one detention episode of about forty-five days gives roughly one death per seventeen thousand stays at the fiscal-2025 rate, with a band running from about one in sixty-two thousand at the calmer 2023 rate to about one in nine thousand at the winter-weighted partial-2026 rate.

The number matters mostly as a trend rather than a level. Calendar-year 2025 saw 31 deaths by a CBS News count of ICE records, and 32 to 33 by other tallies, the most in two decades and a match for the 2004 record. That happened while the detained population roughly doubled, surpassing 68,000 by December 2025 and topping 73,000 in January 2026, far above the system’s funded bed capacity. December 2025 was the single deadliest month, with seven deaths. The rate climbed nearly sevenfold from fiscal 2023 to partial fiscal 2026, which is why a steady headline figure is fragile: the denominator is moving, the population is sicker and more crowded, and the rate is rising.

Several things push the true figure higher than the recorded one. Deaths that occur shortly after release, including cases where a detainee was released because they were already dying, are not counted as in-custody deaths. ICE posts detention data a quarter in arrears and corrects it at fiscal-year close, so recent totals are provisional. The physicians who reviewed the data described systemic weaknesses in medical care, mental-health protection, and mortality review rather than isolated lapses, and earlier work found the large majority of detention deaths in 2017 to 2021 were preventable with adequate care. No survey asks the public to put a number on this risk; polling in 2026 measured disapproval and a sense of reduced safety, not death odds, so the perceived figure here is an inference, not a measurement.

Death in immigration detention runs about 47.5 per 100,000 detainee-years, or roughly 1 in 17,000 per detention episode. People picture the per-stay odds nearer 1 in 300, far above what the records show.

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] JAMA (Basu S, Huynh BQ, Kiang MV, Chin ET, Andrews JR) — Mortality in US Immigration and Customs Enforcement Detention
    Mortality in US Immigration and Customs Enforcement Detention
    Statistic
    272 deaths in ICE custody FY2004 through Jan 19, 2026; mortality rate per 100,000 person-years using ICE fiscal-year mean daily population as denominator.
    Excerpt
    “estimate annual mortality rates among individuals detained by ICE from fiscal year (FY) 2004 through January 19, 2026, and to summarize age and cause of death patterns over time”
    Source data from
    2026-04-16
    Accessed
    2026-06-13
    Calculation
    Authoritative peer-reviewed primary source for the study's existence, method (FY mean daily population denominator), and total death count. Full text is paywalled; the per-year rate numbers (47.5, 88.9, 13.0, 127.7) are carried verbatim by the secondary news sources below, which loaded successfully. Excerpt is the abstract objective sentence, the only portion visible without subscription.
    Independence
    Independent academic team (Stanford/UCSF-affiliated epidemiologists); not ICE, not an advocacy group.
  2. [2] ABC News — Death rates at ICE detention facilities raise concerns about health standards: Study
    Death rates at ICE detention facilities raise concerns about health standards: Study
    Statistic
    Death rate per 100,000 person-years: 127.7 (FY2004), 13.0 (FY2023), 47.5 (FY2025), 88.9 (partial FY2026).
    Excerpt
    “the death rate dropped from 127.7 per 100,000 person-years in FY 2004 to 13.0 in FY 2023, then climbed to 47.5 in FY 2025 and 88.9 in partial FY 2026.”
    Source data from
    2026-04-16
    Accessed
    2026-06-13
    Calculation
    Provides all four fiscal-year rates verbatim from the JAMA study. FY2025 rate of 47.5/100,000 person-years is the headline point-estimate basis. The 88.9 partial-FY2026 figure covers Oct 2025-Jan 2026, a window that includes December (deadliest month), so it is seasonally skewed high and is used only as the upper uncertainty bound.
  3. [3] Davis Vanguard — Immigration Detention Deaths at 22-Year High; Doctors Blame System Failures
    Immigration Detention Deaths at 22-Year High; Doctors Blame System Failures
    Statistic
    272 deaths FY2004 through Jan 19; 18 deaths Oct 2025-Jan 2026 at annualized 88.9 per 100,000; median age of decedents 45.
    Excerpt
    “18 deaths from October 2025 to January 2026, at an annualized death rate of 88.9 people per 100,000.”
    Source data from
    2026-04-01
    Accessed
    2026-06-13
    Calculation
    Independent confirmation of the 272 total and the 88.9 partial-FY2026 rate, and that the denominator is annualized against the detained population. Used to corroborate the JAMA figures and the upper bound.
    Independence
    Independent outlet; corroborates ABC News and AOL on the same JAMA numbers.
  4. [4] CBS News — ICE custody deaths are at a 2-decade high
    ICE custody deaths are at a 2-decade high
    Statistic
    31 ICE detainee deaths in 2025 (CBS analysis of ICE records), a two-decade high; >68,000 detained as of early February 2026.
    Excerpt
    “In 2025, 31 ICE detainees died, a two-decade high, according to a CBS News analysis of ICE records.”
    Source data from
    2026-03-01
    Accessed
    2026-06-13
    Calculation
    Calendar-year 2025 death count. Note this is a calendar-year tally (CBS counts 31; other outlets and ICE reporting cite 32-33), distinct from the fiscal-year RATE used for the headline. Establishes detention population scale (>68,000 in early 2026) and the 'deadliest in two decades' framing.

443 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 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 Job loss & depression — 1 in 3.7 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 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 Child head lice — 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 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 Career obsolescence — 1 in 2.9 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 1.8 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 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 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 PTSD — 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 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 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 Child swallows object (ER) — 1 in 91 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 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 LASIK complications — 1 in 1,000 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 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 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 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 Homicide — 1 in 339 Police duty death — 1 in 313 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 Student visa revocation — 1 in 263 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 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 Dog chocolate death — 1 in 2,000 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 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 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 50,000 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 Child pedestrian (residential) — 1 in 45,455 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,704 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 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 Post-hurricane heat death — 1 in 20,000 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 Lead-tainted cinnamon pouch — 1 in 40,000 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 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 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

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