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Likelier

Perceived fear vs. actual probability

What are the odds of being deported if undocumented in the US?

Lifetime probability · subgroup

~55% over a notional 40-year residency horizon

55% lifetime chance

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

Other · reviewed 2026-06-14
Evidence quality 4.63/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence
Source Government statistic · U.S. Immigration and Customs Enforcement
lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.0 1 in 12

● your factors — click this risk ▾ to reveal

  1. Your factors
A suitcase sitting alone on a porch, flat vector illustration, muted tones, no people.

Perceived

Immigration enforcement is among the most politically charged topics in the US, and the fear of deportation dominates the lived experience of undocumented residents. Surveys of undocumented immigrants consistently find that a majority report significant anxiety about removal, with the Pew Research Center noting that roughly two-thirds of unauthorized immigrants who have lived in the US for a decade or more say they worry "a lot" or "some" about deportation. Media coverage of ICE raids amplifies the perception that enforcement is pervasive, even though the annual removal rate relative to the total undocumented population has historically been low in percentage terms.

Rough estimate: ~1 in 3 to 1 in 5 over a lifetime, intuitively

Source: editorial intuition, not polled

Actual

~1 in 50 per year (central estimate, ~250,000 removals / ~13 million undocumented)

Undocumented immigrants residing in the US (~11-14 million)

Show derivation

ICE ERO reports 142,580 formal ERO removals in FY2023. DHS OHSS repatriation tables report total "Removals" (all DHS components) of 177,540 in FY2023 and 329,990 in FY2024. Across recent years these totals have ranged from roughly 85,000 (FY2021) to over 400,000 (FY2014 peak). The undocumented population stood at roughly 11 million (DHS 2022 estimate) to 14 million (Pew 2023 revised estimate). Using a central annual removal rate of ~250,000 — sitting between the FY2023 and FY2024 DHS-reported removal totals — against a midpoint population of ~13 million gives an annual per-person hazard of ~1.9%, or roughly 1 in 50. Compounded over a notional 40-year adult residency horizon: 1 - (1 - 0.019)^40 ≈ 0.55, or ~55%. This is a crude population average; individual risk varies by orders of magnitude depending on criminal history, geographic location, and the political administration in power.

Caveats: This entry attempts to average across administrations, criminal history profiles…

This entry attempts to average across administrations, criminal history profiles, geographic locations, and duration of residence — each of which can shift individual risk by an order of magnitude or more. The "40-year residency horizon" is a modeling convenience; many undocumented immigrants do not remain for four decades, and many who do have effectively zero removal risk because interior enforcement has historically concentrated on individuals with criminal records. The population denominator is itself uncertain by ±3 million. Under maximalist enforcement policies, the annual removal rate could approach 3-4% of the undocumented population; under minimalist interior enforcement, it drops below 1%. The uncertainty band reflects this political volatility more than statistical noise. A separate question is destination given removal: the Migration Policy Institute estimates about 15,000 third-country deportations (13,000 of them to Mexico) between January 20 and December 31, 2025, against its estimate of roughly 396,000 ICE deportations in that first year — so removal to a third country runs on the order of 4% of ICE deportations, and removal to a country with no ties (the El Salvador CECOT, South Sudan, or Eswatini cases, ~2,000 by inference) on the order of 0.5%. MPI characterises these agreements as "more about fear than numbers." This conditional destination share does not change the headline removal probability, which is silent on where one is sent.

Related risks

Other risks on similar themes — for exploring related fears.

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Forced job exit before retirement

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Compare to:

ICE removed roughly 250,000 undocumented immigrants per year in recent fiscal years, against an estimated population of 11-14 million. That gives an annual per-person removal probability of about 1 in 50, which compounded over a notional 40-year residency yields a lifetime figure around 55% — higher than most entries on this site, and roughly twice the lifetime odds of being a victim of violent crime. The number is less a single truth than a political variable: under Obama-era peak enforcement, annual removals exceeded 400,000; under the lowest Biden-era years, they fell below 150,000.

The gap between the population average and individual experience is vast. Interior enforcement has historically concentrated on individuals with criminal records, meaning a long-term resident with no convictions living in a non-sanctuary city faces a fraction of the headline risk, while a recent border crosser or someone with a prior removal order faces multiples of it. The political administration in power functions as the single largest “personal factor multiplier” — a variable that has no analogue in most public-health risk calculations.

Where these numbers fall apart: the denominator is uncertain by roughly three million people. The 40-year horizon assumes stable residency, but many undocumented immigrants leave voluntarily, obtain legal status, or cycle in and out. The annual removal figure conflates interior arrests (what most people fear) with border removals (which inflate the numerator without reflecting the experience of established residents). And the compounding math treats each year as independent, ignoring that surviving one year without removal may itself correlate with lower future risk — a healthy-survivor effect that the crude model cannot capture.

Roughly 55% over a notional 40-year residency horizon, blending ~250,000 annual removals against ~13 million undocumented residents. The figure is less a fixed truth than a political variable: annual removals have swung from under 150,000 to over 400,000 by administration.

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] U.S. Immigration and Customs Enforcement — ICE Releases Fiscal Year 2023 Annual Report Verified
    ICE Releases Fiscal Year 2023 Annual Report

    See all 2 Likelier entries citing this source →

    Statistic
    142,580 formal removals in FY2023; over 1 million total removals and expulsions including Title 42
    Excerpt
    “"ERO conducted 142,580 removals and 62,545 Title 42 expulsions to more than 170 countries worldwide in Fiscal Year 2023." ”
    Source data from
    2024-03-01
    Accessed
    2026-04-18 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    ICE ERO's FY2023 formal removals (142,580) represent the floor of annual deportation activity. Adding Title 42 expulsions and CBP removals raises the total substantially. For the native figure, I use a central estimate of ~250,000 annual removals (blending FY2023 and FY2024 data, excluding Title 42 expulsions which ended May 2023) against a midpoint undocumented population of ~13 million. Annual hazard: 250,000 / 13,000,000 ≈ 0.019. Over 40 years: 1 - (1 - 0.019)^40 ≈ 0.55.
  2. [2] Pew Research Center — U.S. Unauthorized Immigrant Population Reached a Record 14 Million in 2023
    U.S. Unauthorized Immigrant Population Reached a Record 14 Million in 2023
    Statistic
    Estimated 14 million unauthorized immigrants in the US as of mid-2023, up from 10.5 million in 2021
    Excerpt
    “"Between 2021 and 2023, the number of unauthorized immigrants living in the United States grew from an estimated 10.5 million to 14 million." ”
    Source data from
    2025-08-21
    Accessed
    2026-04-18 · archived copy
    Calculation
    Pew's revised estimate of 14 million (mid-2023) is the highest credible estimate of the denominator. DHS's own estimate for January 2022 was 10.99 million. The midpoint of ~13 million is used for the native rate calculation. A larger denominator reduces the per-person annual hazard; a smaller one increases it — hence the wide uncertainty band.
  3. [3] DHS Office of Homeland Security Statistics — Immigration Enforcement and Legal Processes Monthly Tables
    Immigration Enforcement and Legal Processes Monthly Tables
    Statistic
    Repatriations by fiscal year — Removals: FY2023 177,540; FY2024 329,990; FY2025 (partial, through Nov 2024) 61,630. Total repatriations (removals + returns + Title 42 expulsions): FY2023 1,199,910; FY2024 777,580
    Excerpt
    “"Yearly Repatriations by Fiscal Year — Removals: 2023 177,540; 2024 329,990; 2025 (so far) 61,630. Total: 2023 1,199,910; 2024 777,580; 2025 (so far) 111,010. Data available through November 2024." ”
    Source data from
    2025-01-16
    Accessed
    2026-04-18 · archived copy
    Calculation
    The DHS OHSS monthly tables report "Removals" (administrative removals carrying penalties) separately from returns and expulsions. Removals rose from 177,540 in FY2023 to 329,990 in FY2024, then reset to 61,630 for the partial FY2025 window (data through November 2024). This near-doubling from FY2023 to FY2024, and the swing across recent years (FY2021 removals were 85,100), is what drives the wide uncertainty band (20%-85% lifetime). The native central estimate of ~250,000 removals/year sits between the FY2023 (177,540) and FY2024 (329,990) DHS-reported removal totals; under aggressive enforcement the annual hazard could roughly double.
  4. [4] Migration Policy Institute — U.S. Third-Country Deportation Agreements Are More About Fear than Numbers
    U.S. Third-Country Deportation Agreements Are More About Fear than Numbers
    Statistic
    ~15,000 third-country deportations (13,000 to Mexico) between Jan 20 and Dec 31, 2025, against MPI's estimate of ~396,000 ICE deportations in the first year
    Excerpt
    “"The Migration Policy Institute (MPI) estimates about 15,000 third-country deportations (13,000 of them to Mexico) occurred between January 20, 2025, and December 31, 2025—a tiny share of the 1 million annual deportations the administration has said it intends to achieve. ... MPI estimates that U.S. Immigration and Customs Enforcement (ICE) conducted 396,000 deportations in the administration's first year back." ”
    Source data from
    2026-03-01
    Accessed
    2026-06-14 · archived copy
    Calculation
    Destination-conditional context, not a change to the headline hazard. Of MPI's ~15,000 third-country deportations, ~13,000 went to Mexico (a contiguous hybrid-agreement destination), leaving ~2,000 (by inference, 15,000 − 13,000) sent to countries where the deportee has no ties (El Salvador, South Sudan, Eswatini). Against MPI's ~396,000 first-year ICE deportations: third-country share ≈ 15,000/396,000 ≈ 4%; no-ties share ≈ 2,000/396,000 ≈ 0.5%. This conditions on having already been removed and so does not modify normalized.lifetime_us_adult.

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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