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Likelier
Transport · reviewed 2026-05-16

What are the odds of an airline losing or mishandling checked luggage?

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, activity-specific

1 in 3.7

27% lifetime chance

Most people underestimate this.

range 1 in 10 to 1 in 1.8

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 1.2 1 in 7.4

● your factors — click this risk ▾ to reveal

≈ As likely as

A single suitcase on an empty baggage carousel with a question mark, flat vector illustration in muted tones.

Perceived

Travelers who check bags routinely carry a background anxiety about luggage arriving damaged, delayed, or not at all. The mental model is that mishandling is relatively rare but deeply frustrating when it happens — something experienced by "someone you know" rather than a routine statistical probability. Most passengers, if pressed, might estimate a per-trip risk around 1-5%, with the post-2022 disruption period likely inflating intuitive estimates above the current reality.

Rough estimate: Most travelers guess 1-5% per checked bag

Source: editorial intuition, not polled

Actual

~5.5 mishandled bags per 1,000 checked bags (0.55%) in 2024 — US carriers

Checked bags reported by US domestic reporting marketing carriers to BTS DOT (2024 full year)

Avg. lifetime encounters:  ~236 (4/yr × 59 yr)

Show derivation

BTS Air Travel Consumer Report (full year 2024): US reporting marketing carriers posted a mishandled baggage rate of 0.55% (5.5 per 1,000 checked bags), down from 0.58% in 2023. For a traveler who checks one bag on 4 flight segments per year (4 checked-bag transactions per year), the annual probability of at least one mishandled bag = 1 − (1 − 0.0055)^4 ≈ 2.2%. Over 30 active flying years with checked luggage: 1 − (1 − 0.022)^30 ≈ 0.49. The central estimate of 0.27 reflects more conservative behavior — checking a bag on only half the 4 annual segments, or flying for 20 years: 1 − (1 − 0.0055)^(2×30) ≈ 0.27. Given that a significant fraction of US travelers often fly carry-on only, and BTS "mishandled" predominantly means "temporarily delayed" (74% of mishandling is delayed recovery), a lifetime probability of 0.27 is a reasonable central estimate for a typical checking traveler. Scope is activity_specific_lifetime.

Caveats: BTS defines "mishandled" broadly: it includes delayed bags that are recovered an…

BTS defines "mishandled" broadly: it includes delayed bags that are recovered and returned (74% of cases), damaged bags (18%), and permanently lost or stolen bags (8%). The probability of permanent bag loss is much lower than the headline mishandling rate — roughly 0.044% per segment (8% of 0.55%), or about 1 in 2,300 bags. The entry uses the full mishandling rate (which includes temporarily delayed bags) as the primary figure because any mishandling event is a real consequence for the traveler, even if most are eventually resolved. Travelers who exclusively fly carry-on have zero exposure to checked-bag mishandling and should disregard this entry for their personal risk assessment. The BTS rate covers reporting marketing carriers and may not fully capture mishandling at regional code-share partners, which sometimes have higher rates.

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Compare to:

The odds of an airline mishandling a checked bag are lower than most travelers fear but present enough to be a genuine planning consideration. The Bureau of Transportation Statistics’ full-year 2024 data puts the US rate at 0.55% per checked bag — roughly 5.5 bags per 1,000 checked. For a traveler who checks luggage on 4 flight segments per year, that works out to about a 2.2% annual chance of at least one mishandled bag, or roughly 1 in 45 per year. Over 30 years of occasional travel with checked luggage, the cumulative probability of at least one mishandling event reaches approximately 27%.

The vast majority of “mishandled” bags are not lost — they arrive late and are eventually returned. SITA’s 2024 global analysis found that 74% of mishandled bags were simply delayed, 18% were damaged or pilfered, and only 8% were permanently lost or stolen. Permanently losing a checked bag is thus a roughly 1-in-2,300 per-segment event rather than the 1-in-182 implied by the headline rate. Transfer mishandling is the dominant cause, accounting for 41% of incidents — tight connections in busy hubs give ground crews minimal margin to physically move bags between aircraft, and this is where the system fails most predictably.

Both BTS and SITA data show sustained improvement since the 2022 peak. The 2024 US rate of 0.55% is down from 0.60% in 2023, continuing a long-run trend driven by investment in baggage tracking technology, RFID tag adoption, and improved WorldTracer reconciliation systems at major carriers. North America’s rate of 5.5 per 1,000 passengers (on a per-passenger basis) sits roughly in the middle globally — better than Europe’s 12.3 per 1,000 passengers, worse than Asia’s 3.1 per 1,000. The practical countermeasure with the strongest evidence is nonstop routing, which eliminates transfer-related mishandling entirely.

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] Bureau of Transportation Statistics (DOT) — Air Travel Consumer Report: December 2024, Full Year 2024 Numbers
    Air Travel Consumer Report: December 2024, Full Year 2024 Numbers

    See all 2 Likelier entries citing this source →

    Statistic
    Mishandled baggage rate 0.55% in 2024 (5.5 per 1,000 checked bags), down from 0.58% in 2023; monthly range: 0.38% (October) to 0.75% (January, July)
    Excerpt
    “"In 2024, the reporting marketing carriers reported a mishandled baggage rate of 0.55%, down from 0.58% in 2023. Monthly rates throughout 2024 ranged from a low of 0.38% in October to a high of 0.75% in January and July." ”
    Source data from
    2025-02-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    BTS switched from per-1,000-bags to percentage reporting in January 2022. 0.55% = 5.5 per 1,000 checked bags. For 2 checked bags/year over 30 years: 1 − (1 − 0.0055)^60 ≈ 0.28. Central estimate 0.27 used. Of the mishandled bags, BTS reports approximately 74% are delayed (temporarily) and recovered, 8% are lost or stolen, and 18% are damaged or pilfered.
    Independence
    BTS mishandled-baggage data is compiled from mandatory DOT reports submitted by reporting marketing carriers under 14 CFR Part 234. It is an administrative regulatory dataset, separate from airline customer complaint surveys and independent from the SITA Baggage IT Insights reports (which use a different definition and a global scope).
  2. [2] SITA (air transport IT provider) — SITA Baggage IT Insights 2024
    SITA Baggage IT Insights 2024
    Statistic
    Global mishandling rate 6.3 per 1,000 passengers in 2024, down from 6.9 in 2023; North/South America: 5.5 per 1,000; 74% of mishandling is delayed bags; 8% permanently lost; transfer mishandling causes 41% of incidents
    Excerpt
    “"The rate of mishandled baggage fell to 6.3 per 1,000 passengers in 2024, an 8.7% improvement from 2023's 6.9 rate. North and South America posted 5.5 per 1,000 passengers. Delayed bags accounted for 74% of mishandled bags, down from 80% the prior year. Lost or stolen bags made up 8%. Transfer mishandling caused more than four in ten (41%) of mishandling incidents." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    SITA measures mishandling per 1,000 passengers (not per 1,000 checked bags), and not all passengers check a bag. The BTS per-checked-bag figure (0.55%) is the primary rate for this entry because it is US-specific and normalized to the correct denominator (checked bags, not all passengers). The SITA figure provides a corroborating global benchmark and the breakdown by mishandling type (delayed vs lost vs damaged) which BTS does not publish at this level of detail.
    Independence
    SITA collects data directly from airline and airport IT systems via its WorldTracer global baggage tracking platform and voluntary airline participation. It is methodologically independent from BTS DOT mandatory reporting; the two systems use different denominators (passengers vs checked bags) and different geographic scopes (global vs US reporting carriers).
  3. [3] Bureau of Transportation Statistics (DOT) — Air Travel Consumer Report: March 2024 Numbers
    Air Travel Consumer Report: March 2024 Numbers
    Statistic
    March 2024 mishandled baggage rate: 0.55%; March 2023: 0.60%; confirms consistent improvement trend
    Excerpt
    “"The reporting marketing carriers reported a mishandled baggage rate of 0.55% for March 2024, lower than the 0.60% reported for March 2023." ”
    Source data from
    2024-05-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    Monthly BTS data confirms the 2024 improvement trend relative to 2023 is consistent across individual months, not driven by a single anomalous month. Used as triangulating confirmation that the full-year 0.55% figure is a robust annual average rather than a data artifact.
    Independence
    Same BTS DOT mandatory-reporting pipeline as the annual report; monthly release confirms the full-year average figure.

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