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Likelier
Other · reviewed 2026-05-09

What are the odds of being detained and deported from the US after overstaying a visa?

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

Lifetime probability · lifetime, subgroup

1 in 5.6

18% lifetime chance

Most people overestimate this.

range 1 in 20 to 1 in 2.2

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 28

● your factors — click this risk ▾ to reveal

≈ As likely as

A passport and boarding pass resting on a plain surface, flat vector illustration in muted tones.

Perceived

The fear of deportation after a visa overstay is perceived as much higher than the actuarial rate, driven by media coverage of ICE enforcement operations and a general sense that immigration authorities track and remove overstayers systematically. Conversely, some overstayers believe they are effectively invisible after a few years and face minimal practical risk. Neither extreme is well-calibrated. ICE does not publicly break out overstay-only removal figures, and DHS reports focus on tracking overstays rather than measuring enforcement rates against them. The documented annual removal figure for all undocumented immigrants (roughly 150,000-270,000 per year in recent years) is spread across a population of 11-14 million, implying an annual removal rate in the range of 1-2% regardless of entry method. For overstayers specifically, there is no official published enforcement rate, which itself is a signal: overstay enforcement is a low-priority use of limited ICE interior resources.

Rough estimate: perceived as 1 in 3 to 1 in 10 per year by many overstayers; actual annual rate is closer to 1 in 50 or lower

Source: editorial intuition, not polled

Actual

~399,708 suspected in-country overstays remaining as of May 2024 (FY2023 new overstays); ~1.02% of expected departures

Nonimmigrant visitors with expected departures in FY2023

Show derivation

Step 1 — Annual overstay rate: DHS Entry/Exit Overstay Report FY2023 documents 510,363 total suspected in-country overstays from FY2023 arrivals; this fell to 399,708 by May 2024 as some departed. Annual new suspected in-country overstays run approximately 400,000-850,000 per year (FY2016-FY2022 range), and the cumulative overstay population is estimated at approximately 4-5 million people (roughly 40-42% of the ~11-14 million total undocumented population, per CRS and Pew). Step 2 — Annual enforcement rate against overstayers: ICE does not publish overstay-specific removal figures. Total ICE interior removals were approximately 142,580 in FY2023 and 248,739 in FY2024. These figures include all grounds of removal, not just overstays. Applying the ~40% overstayer share of the undocumented population to the removal total suggests roughly 57,000-100,000 overstayer removals per year (central estimate ~70,000), against a cumulative overstay population of approximately 4.5 million. Annual hazard per overstayer: ~70,000 / 4,500,000 ≈ 1.6%, or roughly 1 in 63. Step 3 — Compounded over a notional 10-year overstay period: 1 - (1 - 0.016)^10 ≈ 0.15-0.18, or approximately 15-18%. Over 20 years: 1 - (1 - 0.016)^20 ≈ 0.27-0.28. Central estimate of 18% reflects the 10-year horizon, which captures the median overstay duration before departure or status change. Note: the annual enforcement rate is highly sensitive to political administration (Obama-era peak enforcement would raise the rate to ~3-4%; Biden-era lows would reduce it to ~1%). The scope is subgroup_lifetime because this risk applies only to the subgroup of people currently in visa overstay status.

Caveats: The annual overstay enforcement rate is the most uncertain quantity in this entr…

The annual overstay enforcement rate is the most uncertain quantity in this entry, because ICE does not publish removal figures broken out by entry method (overstay vs. entered without inspection). The central estimate of ~1.5-2% per year is derived by apportioning total ICE interior removals using the overstayer share of the undocumented population, which is itself uncertain. The political administration in power is the single largest driver of individual removal risk: enforcement has varied roughly threefold across recent administrations, from Biden-era lows to Trump-era highs. The 10-year horizon used for the lifetime figure (18%) is arbitrary; many overstayers depart voluntarily or adjust to legal status within a few years, and others remain for decades. Long-duration overstayers who have built family and community ties in the US face qualitatively different enforcement dynamics than recent overstayers. The DHS Entry/Exit Overstay Report tracks suspected in-country overstays, not confirmed overstays; the "suspected" designation means some fraction have departed without being counted. This entry should not be read as legal advice; the actual enforcement risk for any individual depends heavily on criminal history, prior removal orders, and geographic location.

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Compare to:

The US government tracked approximately 510,363 suspected in-country overstays from fiscal year 2023 arrivals alone, representing 1.3% of all expected departures. The cumulative population of people currently living in the US beyond their visa terms is estimated at roughly 4-5 million — about 40% of the total undocumented population of 11-14 million. Against that backdrop, ICE conducted 142,580 formal removals in FY2023, covering all grounds of deportation, not just overstays. Apportioning by the overstayer share of the undocumented population implies roughly 50,000-70,000 overstay-linked removals per year, or an annual per-overstayer risk somewhere around 1 in 63. Compounded over a decade: roughly 15-18%.

That figure sits well below the intuitive perception of constant enforcement risk, and well above the intuitive perception of near-zero risk for people who “just” stayed too long on a tourist visa. The Congressional Research Service noted in a 2023 report that “only a fraction of the thousands of people who overstay each year are targeted for enforcement despite government knowledge of violations.” The gap exists because interior enforcement has historically concentrated on individuals with criminal records: roughly two-thirds of ICE removals in recent years involved people with at least a pending criminal charge. A visa overstayer with no criminal history, living in an interior city with no prior ICE contact, faces a substantially lower annual removal probability than the population average suggests.

The largest source of variance is political rather than statistical. Enforcement posture has swung roughly threefold across recent administrations. At Obama-era peak enforcement levels, the annual removal rate implied here would rise to roughly 3-4% per year and compound to more than 30% over a decade. At Biden-era interior enforcement lows, the annual rate drops below 1% and the decade-probability falls under 10%. ICE does not publish removal figures broken out by entry method, so the headline estimate requires imputing from total removals using population shares — a method that likely overstates overstay-specific enforcement, because criminal records (concentrated among entered-without-inspection populations) drive enforcement priority more than entry method. The true annual enforcement rate for a visa overstayer with no criminal record may be closer to 0.5-1% per year than the headline 1.6%.

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] U.S. Customs and Border Protection, Department of Homeland Security — Entry/Exit Overstay Report Fiscal Year 2023 Report to Congress
    Entry/Exit Overstay Report Fiscal Year 2023 Report to Congress
    Statistic
    510,363 total suspected in-country overstays for FY2023; fell to 399,708 (1.02% of expected departures) by May 2024; overall FY2023 overstay rate was 1.31%
    Excerpt
    “"At the end of Fiscal Year 2023, the overall Suspected In-Country Overstay number was 510,363 or 1.31 percent, which further decreased to 399,708 or 1.02 percent by the end of April 2024." ”
    Source data from
    2024-10-11
    Accessed
    2026-05-09 · archived copy
    Calculation
    The DHS FY2023 overstay report provides the annual flow of new suspected overstays (510,363) and the number remaining in-country after partial departure attrition (399,708 by May 2024). These are new-year entrants only, not the cumulative overstay population. The 39,005,712 expected departures figure (from the FY2023 report) is used as the denominator in the native display. For removal rate calculation, the relevant population is the cumulative ~4-5 million overstay population, not the annual new entrant flow.
  2. [2] U.S. Immigration and Customs Enforcement — ICE Releases Fiscal Year 2023 Annual Report
    ICE Releases Fiscal Year 2023 Annual Report

    See all 2 Likelier entries citing this source →

    Statistic
    ERO conducted 142,580 removals in FY2023; overstay-specific removal figures are not published separately
    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
    2026-05-09 · archived copy
    Calculation
    ICE FY2023 removals (142,580) cover all grounds of removal: prior criminal conviction, immigration violations including overstays, entry without inspection, and pending criminal charges. ICE does not publish a breakdown of how many removals were specifically for visa overstay violations. Using the ~40% overstayer share of the undocumented population (from CRS R47848) as a proxy: 142,580 * 0.40 ≈ 57,000 overstayer removals per year. This is a rough approximation; in practice, ICE prioritizes criminal records over immigration-only violations, meaning the actual overstay-removal fraction is likely below the 40% population share. Central estimate: ~50,000-70,000 overstay removals per year.
  3. [3] Congressional Research Service — Nonimmigrant Overstays: Overview and Policy Issues
    Nonimmigrant Overstays: Overview and Policy Issues
    Statistic
    Approximately 42% of the ~11 million unauthorized population entered legally and overstayed, equaling ~5 million people; only a fraction of overstayers each year are targeted for enforcement
    Excerpt
    “"Approximately 42% of the roughly 11 million unauthorized population entered legally but overstayed their visa period. Congressional frustration that only a fraction of the thousands of people who overstay each year are targeted for enforcement despite government knowledge of violations." ”
    Source data from
    2023-11-21
    Accessed
    2026-05-09 · archived copy
    Calculation
    The CRS report provides the critical denominator estimate: ~5 million cumulative overstayers (42% of ~11 million undocumented population). The report explicitly notes that enforcement against overstayers is sparse relative to the population, which is consistent with the low annual removal rate derived from ICE data. The 42% figure is used to apportion ICE total removals to the overstayer subgroup for the annual hazard calculation. This is an imperfect approximation; criminal history and geographic location matter more than entry method in determining enforcement priority.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238