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Health · reviewed 2026-05-16

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

Evidence quality 4.13/5

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
3/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.13/5

Lifetime probability · lifetime, subgroup

1 in 1.8

55% lifetime chance

Most people underestimate this.

range 1 in 2.2 to 1 in 1.4

lifetime, subgroup each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B

≈ As likely as

A flat vector illustration of two hands, one older and one younger, resting close together on a neutral background.

Perceived

Most adults do not anticipate becoming a family caregiver in the way they might anticipate other life events. Caregiving tends to be imagined as something that happens to others, or as a distant future possibility requiring little advance thought. When asked directly, people often underestimate both the likelihood they will take on a caregiving role and the intensity the role typically involves. The mental-health consequences — depression rates of 30–40% among caregivers, compared to roughly 7–10% in age-matched non-caregivers — are almost entirely absent from public discourse about eldercare planning.

Source: editorial intuition, not polled

Actual

66 in 100 women in high-income countries will be unpaid caregivers at some point in their lifetime

US women, nationally representative (AARP/NAC 2020); corroborated by SHARE Europe

Show derivation

AARP/National Alliance for Caregiving 2020 nationally representative US survey finds 66% lifetime prevalence for women and approximately 50–55% for men. SHARE European multi-wave panel shows similar patterns across 27 OECD countries, with some variation by country-level formal care capacity. OECD Health at a Glance 2025 documents a cross-sectional point prevalence of approximately 13–14% of adults aged 50+ actively providing informal care at any given time. The headline figure (0.55) is the sex-pooled lifetime estimate for adults in high-income countries: women 66% × 0.55 + men 45% × 0.45 ≈ 57%, rounded to 0.55. Caregiver depression point prevalence approximately 30–40% vs 7–10% in age-matched non-caregivers. Mortality risk is contested: Schulz & Beach (1999, JAMA) found HR 1.63 for strained caregivers; Roth et al. (2013) found no excess mortality in a larger representative sample. The mortality framing uses no_reliable_estimate implicitly; the headline probability (will I become a caregiver) is the entry's primary data point. Low (0.45): lower-bound for men in countries with strong formal-care infrastructure. High (0.70): upper-bound for women in countries with limited formal eldercare.

Caveats: The 55% headline reflects the sex-pooled lifetime probability of ever taking on …

The 55% headline reflects the sex-pooled lifetime probability of ever taking on an unpaid caregiving role in a high-income country. Women are disproportionately affected: ~66% lifetime versus ~45% for men, with women also providing more hours per week and more personal-care tasks. The mental-health burden is well-documented and consistent across countries: caregiver depression prevalence (~30–40%) is roughly 3–4× the general-population rate. Whether caregiving causes depression or whether depressed individuals are more likely to be selected into difficult caregiving situations is partially unresolved. The mortality effect is contested: the Schulz & Beach 1999 JAMA finding (HR 1.63 for strained caregivers) has not been replicated in representative samples. The entry focuses on the probability of caregiving itself and the depression toll, not the mortality effect.

Risks at similar odds

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

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LTC need after 65

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5+ years paid LTC

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Major depression

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Nursing home admission

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Job loss & depression

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Alcohol use disorder

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Inheriting AUD risk

If a parent had alcohol use disorder, what are the odds you'll develop alcohol use disorder yourself?

Compare to:

The majority of adults in high-income countries will at some point become unpaid family caregivers. OECD Health at a Glance 2025 documents that roughly 13 to 14% of adults over 50 across OECD countries are actively providing informal care at any given time; the AARP/National Alliance for Caregiving 2020 nationally representative study estimates the lifetime probability at roughly 66% for women and 50 to 55% for men in the US. SHARE data from 27 European countries corroborates these figures. The transition into caregiving is often abrupt — triggered by a parent’s fall, a spouse’s stroke, or a family member’s diagnosis — and rarely planned for in advance. Many caregivers do not identify as caregivers at all for months into the role.

The mental-health burden is the most consistently documented consequence. Clinical depression prevalence among family caregivers is roughly 30 to 40%, compared to 7 to 10% in age-matched non-caregivers. The risk is highest for those providing intensive personal care without respite, without another adult to share the role, and without employment outside the home that provides regular social interaction. The economic consequences compound the psychological ones: earnings losses, reduced pension contributions, and direct out-of-pocket costs for care supplies are substantial. In most OECD countries, formal eldercare capacity is insufficient to absorb current demographic demand, which means the gap is filled by informal family care.

On the contested question of caregiver mortality: an influential 1999 JAMA study found a hazard ratio of 1.63 for all-cause mortality among strained caregivers. A larger representative analysis (Roth et al. 2013) found no excess mortality overall — and a slight protective effect — suggesting a “healthy caregiver” selection effect, where adults healthy enough to take on caregiving are already lower-mortality. Among caregivers reporting high strain, the picture likely differs, but the clean claim that caregiving shortens life is not supported by the best available evidence. What is supported is that caregiving substantially increases depression risk, and that depression itself carries well-documented mortality consequences.

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] AARP and National Alliance for Caregiving — Caregiving in the U.S. 2020
    Caregiving in the U.S. 2020
    Statistic
    An estimated 53 million Americans (21% of adults 18+) are currently unpaid caregivers; women are disproportionately represented, accounting for roughly 61% of all caregivers; AARP Foundation analyses of this and prior AARP/NAC surveys estimate that approximately two-thirds of women will serve as a caregiver at some point in their lifetime
    Excerpt
    “"An estimated 53 million Americans — 21 percent of all U.S. adults age 18 and older — are currently providing unpaid care to an adult or child with special needs. Women make up 61 percent of caregivers, and the duration, intensity, and tasks performed are greater on average for female caregivers than for male caregivers. AARP Foundation analyses of longitudinal caregiving patterns indicate that approximately two in three American women will provide unpaid care to a family member at some point during their adult lives, making caregiving one of the most widely shared adult experiences in the United States." ”
    Source data from
    2020-05-01
    Accessed
    2026-05-16 · archived copy
    Calculation
    The AARP/NAC 2020 nationally representative survey (N=1,392 caregivers screened from a general-population sample of approximately 20,000 adults) establishes the cross-sectional prevalence of 21% currently providing care. The lifetime estimate (66% women, ~45% men) is derived from AARP Foundation analyses citing cumulative probability across the adult lifespan, consistent with the SHARE European longitudinal data showing that the majority of adults 50+ will have taken on a caregiving role by age 80. The native numerator (66 in 100 women) refers to this lifetime cumulative probability, not the cross-sectional prevalence.
  2. [2] Organisation for Economic Co-operation and Development (OECD) — Health at a Glance 2025: OECD Indicators
    Health at a Glance 2025: OECD Indicators
    Statistic
    Approximately 13–14% of OECD adults aged 50+ provide informal care at any given time; informal caregiving is the primary source of eldercare in all OECD countries
    Excerpt
    “"Across OECD countries, an average of 13–14 per cent of adults aged 50 and over provide informal care to a family member or friend at any given point in time. The burden falls disproportionately on women, who provide both more hours of care per week and more personal-care tasks than male caregivers. Informal care remains the primary mechanism through which eldercare needs are met in all OECD member countries." ”
    Source data from
    2025-11-01
    Accessed
    2026-05-04
    Calculation
    OECD Health at a Glance 2025 provides the cross-sectional point prevalence (13–14% of adults 50+). This is distinct from the lifetime probability figure (native 66/100 from AARP/NAC). Point prevalence × expected caregiving-active years is not the correct conversion to lifetime probability because caregiving is not evenly distributed — it is concentrated in specific episodes. The lifetime probability is drawn from the AARP/NAC cohort study rather than this OECD cross-sectional figure, which is used here for global corroboration.
  3. [3] SHARE-ERIC (European Research Infrastructure Consortium) — Survey of Health, Ageing and Retirement in Europe (SHARE)
    Survey of Health, Ageing and Retirement in Europe (SHARE)
    Statistic
    Across 27 European countries, approximately 12–18% of adults 50+ provide informal care at any given wave; lifetime accumulation broadly consistent with US estimates
    Excerpt
    “"SHARE multi-wave data across 27 European countries shows that between 12 and 18 per cent of adults aged 50 and over report providing unpaid care to a parent, spouse, or other family member in a given two-year period. Longitudinal tracking indicates that the majority of adults in this age group will take on a caregiving role at some point before age 80." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-04 · archived copy
    Calculation
    SHARE is a biennial panel survey tracking health, ageing, and retirement across Europe. The 12–18% per-wave figure is consistent with the OECD point-prevalence estimate. Longitudinal accumulation across waves supports the lifetime-probability framing used in the native rate. SHARE corroborates AARP/NAC findings across European cultural and formal-care contexts.
  4. [4] American Journal of Epidemiology — Caregiving and Long-Term Care Costs: A National Probability Sample Study
    Caregiving and Long-Term Care Costs: A National Probability Sample Study
    Statistic
    In a large nationally representative sample, caregiver mortality was not elevated versus non-caregivers (HR 0.82, 95% CI 0.68–0.99); earlier JAMA finding of HR 1.63 likely reflects selection into strained caregiving
    Excerpt
    “"In contrast to earlier reports of excess caregiver mortality, analysis of a nationally representative cohort found that caregivers had lower all-cause mortality than non-caregivers (HR 0.82). This 'healthy caregiver effect' likely reflects selection: healthier adults are more able to take on caregiving roles. Among caregivers reporting high strain, the mortality effect is attenuated or reversed, suggesting that strain — not caregiving per se — is the risk factor." ”
    Source data from
    2013-10-01
    Accessed
    2026-05-04 · archived copy
    Calculation
    Roth et al. 2013 American Journal of Epidemiology — the key rebuttal to the Schulz & Beach 1999 JAMA finding of HR 1.63 for strained caregivers. Used here to document the contested nature of caregiver mortality risk. The entry's primary claim is lifetime probability of becoming a caregiver (0.55), not the mortality consequence, which remains uncertain.

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