Skip to content
Likelier
Health · reviewed 2026-05-16

What are the odds of needing more than five years of paid long-term care?

Evidence quality 4.63/5

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

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
5/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 5.6

18% lifetime chance

Most people underestimate this.

range 1 in 8.3 to 1 in 3.8

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.9 1 in 5.6

● your factors — click this risk ▾ to reveal

≈ As likely as

A series of calendar pages fanning out from left to right on a pale surface, flat vector illustration.

Perceived

Most people who engage with long-term care planning at all think of it as a short-term bridge risk — a year or two at most. Few people spontaneously consider the possibility of needing paid care for five or more years. The catastrophic tail of the LTC distribution is the least-discussed and most financially consequential part of the risk profile. No rigorous survey measuring perceived probability of 5+ year LTC need is available; the figure is almost certainly underestimated by most adults.

Rough estimate: under 1 in 10 lifetime, most people guess

Source: editorial intuition, not polled

Actual

~22 in 100 adults turning 65 in 2021-2025

US adults turning 65 in 2021-2025 (ASPE DYNASIM4 projections)

Show derivation

ASPE 2022 DYNASIM4 projections: 22% of adults turning 65 in 2021-2025 will have LTSS needs lasting more than five years. This is a conditional probability (given reaching age 65). Converting to unconditional lifetime probability: 0.22 × 0.82 (survival to age 65) ≈ 0.18. This figure captures the catastrophic-duration tail of the LTSS distribution — the subset for whom care needs persist long enough to exhaust most private savings. The 2019 ASPE/Urban Institute historical analysis (based on HRS cohorts) found that 38% of severe-need episodes lasted more than 4 years, from which a >5-year probability can be estimated at roughly 25-30% conditional; the DYNASIM4 22% figure is somewhat lower and is used as the primary estimate because it is forward-looking for the current cohort. Uncertainty range: 0.12 (if the narrower paid-care-only definition is used) to 0.26 (if broader severe-need definition is applied).

Caveats: The 22% figure (ASPE 2022) measures adults with *any* LTSS need lasting more tha…

The 22% figure (ASPE 2022) measures adults with *any* LTSS need lasting more than five years; the 5% figure in the 2019 analysis measures *paid* care lasting >5 years. The gap between the two (22% any LTSS need vs 5% paid LTSS >5 years) reflects the large role of unpaid family caregiving in absorbing long care episodes. Financial planning for the catastrophic tail should focus on the paid-care definition, which is the relevant exposure for asset depletion and Medicaid spend-down. The normalized unconditional estimate of 0.18 is based on the broader any-LTSS-need definition and therefore represents an upper bound on the financially catastrophic scenario (paid care >5 years unconditional ≈ 0.05 × 0.82 ≈ 0.04). Both figures are reported in the caveats for completeness. Annual nursing home cost data from Genworth/CareScout 2024 ($127,750 private room median) is used for illustrative financial context only; costs vary widely by setting (home health, assisted living, memory care) and geography.

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

Health

Nursing home admission

What are the odds of spending at least one night in a nursing home during your lifetime?

Health

LTC need after 65

What are the odds of needing long-term care after age 65?

Health

Family caregiver probability

How likely am I to become an unpaid family caregiver — and what is the mental-health toll?

Health

Elderly abandonment

What are the odds of ending up in a nursing home abandoned by your family?

Health

Hip replacement

What are the lifetime odds of needing a hip replacement?

Health

Vision loss

What are the odds of losing significant vision in a lifetime?

Health

Alzheimer's

What are the odds of dying from Alzheimer's disease or other dementia?

Health

Non-Alzheimer's dementia

How likely is non-Alzheimer's dementia (vascular, Lewy body, FTD)?

Compare to:

ASPE’s 2022 DYNASIM4 projections for adults turning 65 in 2021-2025 find that 22% will have long-term services and supports needs lasting more than five years — roughly 1 in 4.5 of those who reach that age. Converted to an unconditional lifetime probability for any US adult, the figure is approximately 1 in 5.6. The financial implications scale directly: at 2024 median rates of $127,750 per year for a nursing home private room (Genworth/CareScout), five years of care runs to roughly $640,000. Home-based care is less expensive but still totals $340,000 at the 2024 median home health aide rate over five years. These costs exceed the liquid assets of most middle-income American households.

Duration is the most dangerous dimension of LTSS risk because it converts a manageable annual cost into an unmanageable cumulative one. The 2019 ASPE/Urban Institute analysis of HRS cohort data found that 38% of severe-need episodes last more than four years and 9% last more than a decade. Dementia is the primary driver of these long episodes: cognitive impairment progresses slowly, generating years of escalating care needs before death. The racial disparity is notable — ASPE 2022 found 50% of older non-Hispanic Blacks and 57% of older Hispanics with severe LTSS needs experience needs lasting more than four years, compared to 35% of non-Hispanic Whites, a gap that reflects differences in onset age, family caregiver availability, and disease mix.

The gap between “needs LTSS for 5+ years” (22%) and “receives paid LTSS for 5+ years” (roughly 5% of older adults per the 2019 analysis) reflects the enormous role of unpaid family caregiving in absorbing long care episodes. Many people with multi-year LTSS needs are cared for by spouses, adult children, or other family members for all or part of that period, never generating a formal paid-care expense. The 22% figure is therefore an upper bound on the financially catastrophic scenario; the paid-care tail is smaller but still substantial, and it is the relevant figure for asset depletion and Medicaid spend-down planning.

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] US Department of Health and Human Services, ASPE — Long-Term Services and Supports for Older Americans: Risks and Financing, 2022
    Long-Term Services and Supports for Older Americans: Risks and Financing, 2022

    See all 2 Likelier entries citing this source →

    Statistic
    22% of adults turning 65 in 2021-2025 will have LTSS needs lasting more than five years; this share is higher for low-income adults (29%) and those in fair/poor health at 65 (25%)
    Excerpt
    “"About 56 percent of people turning 65 between 2021 and 2025 will need LTSS in their lifetime. About 22 percent will have needs lasting more than five years." ”
    Source data from
    2022-09-27
    Accessed
    2026-05-14 · archived copy
    Calculation
    ASPE 2022 DYNASIM4 microsimulation for adults turning 65 in 2021-2025. The 22% figure is the share with LTSS needs (any type) lasting >5 years, conditional on reaching age 65. Unconditional from birth: 0.22 × 0.82 ≈ 0.18. Using 2024 Genworth Cost of Care data for context: $127,750/year for a nursing home private room; 5 years = ~$638,750. Even at home health aide rates (~$68,600/year median in 2024), 5 years = ~$343,000. These costs are beyond the reach of most middle-income households without LTC insurance or Medicaid spend-down.
    Independence
    ASPE DYNASIM4 uses its own microsimulation modeling framework drawing on Census, HRS, and CMS administrative data. The 2022 projections are forward-looking estimates, distinct from the retrospective HRS-based analysis in Johnson (2019).
  2. [2] US Department of Health and Human Services, ASPE — What Is the Lifetime Risk of Needing and Receiving Long-Term Services and Supports?
    What Is the Lifetime Risk of Needing and Receiving Long-Term Services and Supports?

    See all 3 Likelier entries citing this source →

    Statistic
    38% of severe LTSS need episodes last more than 4 years; 9% last more than 10 years; only 5% of older adults receive paid LTSS for more than 5 years
    Excerpt
    “"About 70 percent of adults who survive to age 65 will develop severe LTSS needs before they die and 48 percent will receive some paid care over their lifetime. Only 24 percent of older adults receive more than two years of paid LTSS care, and only 15 percent spend more than two years in a nursing home." ”
    Source data from
    2019-04-03
    Accessed
    2026-05-14 · archived copy
    Calculation
    The 2019 ASPE/Urban Institute analysis provides the historical duration distribution: of severe need episodes, 40% last ≤2 years, 38% last >4 years, and 9% last >10 years. Applied to the 70% conditional prevalence: the >4-year group is 0.70 × 0.38 ≈ 27% of those reaching 65. Only 24% receive more than 2 years of *paid* care, and only 5% of all older adults receive paid LTSS for more than 5 years — lower than the 22% with any LTSS need >5 years because many long-need individuals rely on unpaid family care.
    Independence
    The 2019 ASPE/Urban Institute report and the 2022 ASPE brief use different methodologies and cohort definitions; both are included to bracket the plausible range. The 22% figure (2022) refers to any LTSS need >5 years while the 5% figure (2019) refers to paid care >5 years, explaining much of the gap between the two estimates.

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