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Perceived fear vs. actual probability

What are the odds of a parent dying or becoming disabled before their child turns 18?

Lifetime probability · subgroup

~1 in 11

(death or lasting disability before child turns 18)

9.0% lifetime chance

Most people underestimate this.

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

Health · reviewed 2026-04-19
Evidence quality 4.5/5

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
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 4.5/5
Direct evidence
Source Government statistic · Social Security Administration, Office of the Chief Actuary
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 4.4 1 in 22

● your factors — click this risk ▾ to reveal

  1. Your factors
A single small pair of children's shoes next to a large empty adult shoe outline, flat vector illustration, muted palette.

Perceived

This is the fear that sells life insurance — and the one most people drastically underweight when they decline to buy it. Young parents tend to anchor on their own felt invincibility: "I'm 30, healthy, and not going anywhere." The LIMRA 2025 Insurance Barometer Study found that adults under 30 overestimate the cost of term life insurance by 10-12x, suggesting the risk itself barely registers as real. Meanwhile, only about half of US adults carry any life insurance at all, down from 63 percent in 2011. Disability insurance ownership is even lower — the Council for Disability Awareness reports that fewer than a third of working adults carry individual long-term disability coverage, despite disability being far more common than death during working years. The perception gap here is not that people think the risk is zero — it is that they treat it as negligibly small and therefore not worth insuring against, when the combined probability is high enough to warrant attention.

Rough estimate: Most young parents sense some risk but treat it as negligibly small — well below the actual combined figure

Source: editorial intuition, not polled

Actual

~9 in 100 over 18 years (death or lasting disability, 30-year-old parent)

US 30-year-old parents

Show derivation

Starting point: the SSA 2022 period life table (l(x) survivor column) gives cumulative mortality of about 5.76% for a 30-year-old male reaching age 48 (survivors fall from l(30)=96,992 to l(48)=91,405) and about 3.03% for a female of the same age (l(30)=98,415 to l(48)=95,429), a sex-blended ~4.4% for a single randomly-selected parent. The SSA Actuarial Note 2025.6 shows that the probability of surviving from age 20 to normal retirement age (67) without ever being disabled is 66% for men and 71% for women — i.e. roughly 1 in 4 become disabled over that 47-year window. Scaling that down to the narrower 18-year parenting window (age 30 to 48) is a disclosed proportional estimate yielding an approximate 5% qualifying-disability probability; this 18-year figure is not directly stated by SSA. Combining the source-stated mortality (~4.4%) with the estimated lasting-disability leg (~5%) and subtracting partial overlap gives a central estimate of roughly 9% for either outcome for a single parent over 18 years. The uncertainty range reflects sex differences (male risk higher), health variation, and the definitional ambiguity of "lasting disability."

Caveats: The 9% central estimate is a population-level average for a 30-year-old US paren…

The 9% central estimate is a population-level average for a 30-year-old US parent over 18 years, combining both death and qualifying disability (defined by SSA as inability to perform substantial gainful activity for 12+ months). Individual risk varies enormously by sex (males ~2× females for mortality), race, occupation, health status, and health-care access. The disability component is especially sensitive to definition: SSA's bar is high (complete work incapacity for 12+ months), so milder but still life-altering disabilities are excluded. Using a broader definition of disability would push the combined figure well above 10%. For a two-parent household, the probability that at least one parent is affected roughly doubles.

Related risks

Other risks on similar themes — for exploring related fears.

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Grandparent loss in childhood

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Other

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Skipping care over ICE fear

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Vision loss

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What are the odds of developing a food allergy as an adult?

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What are the odds of dying prematurely from air pollution?

Decisions this risk informs

Choices that turn on this risk — how people weigh the trade-off.

Compare to:

A 30-year-old parent has roughly an 18-year window before the youngest child turns 18 — and over that span the combined probability of dying or becoming permanently disabled is somewhere around 1 in 11. The death component alone is modest: SSA period life tables put cumulative mortality from age 30 to 48 at about 5.8% for men and 3% for women (a sex-blended ~4.4%). It is the disability component that inflates the total further. The SSA’s own actuarial tables project that roughly one in four 20-year-olds will qualify for disabled-worker benefits before reaching normal retirement age, and even over the shorter 18-year parenting window the estimated disability hazard is at least comparable to the mortality hazard. A parent is, roughly speaking, about as likely to become unable to work as to die during those years — and possibly somewhat likelier, though the disability leg is a scaled estimate rather than a directly published 18-year figure.

What makes this risk interesting is the behavioral mismatch it produces. About 4.2% of US children under 18 have already lost a parent or primary caregiver, according to a 2025 modeling study in Nature Medicine — a prevalence that rose nearly 50% between 2000 and 2021, driven largely by drug overdose deaths. Yet only half of US adults carry life insurance at all, down from 63% a decade ago, and disability insurance coverage is even thinner. LIMRA reports that adults under 30 overestimate the annual cost of a term life policy by a factor of 10 to 12, which goes a long way toward explaining the gap: the risk feels remote, and the imagined price of addressing it is an order of magnitude too high. The result is a population that systematically underinsures against one of the more consequential financial risks a family faces.

The disability angle deserves particular emphasis because it is the half of this risk that almost nobody discusses. A 30-year-old parent is at least as likely to experience a lasting disability as to die before age 48 — the estimated disability leg (~5%) is on par with the source-stated ~4.4% mortality — yet “disability insurance” barely registers in popular financial planning discourse compared with life insurance. Death, at least, is final — the surviving family’s expenses shrink by one member. Disability often increases household costs (medical bills, home modifications, caregiving) while simultaneously eliminating the disabled parent’s income. The actuarial tables do not have a column for “financially devastating,” but if they did, disability would likely outrank death as the more consequential threat to a young family’s finances.

A child has about a 7% chance of losing a parent before turning 18. The probability of a child dying before 18 is ~0.7%. Parents are 10x more likely to die during their child's youth than the reverse.

Read more → ⇄ compare

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

1/4 sources independently verified verbatim against the cited source

  1. [1] Social Security Administration, Office of the Chief Actuary — Actuarial Life Table — Period Life Table, 2022
    Actuarial Life Table — Period Life Table, 2022
    Statistic
    Cumulative mortality from age 30 to age 48 is approximately 5.76% for males and 3.03% for females (from the l(x) survivor column of the 2022 period life table)
    Excerpt
    “"Male: age 30 l(x)=96,992, age 48 l(x)=91,405. Female: age 30 l(x)=98,415, age 48 l(x)=95,429. (l(x) is the number of survivors out of 100,000 born alive, from the 2022 period life table for the Social Security area population used in the 2025 Trustees Report.)" ”
    Source data from
    2025-06-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    The SSA period life table provides a survivor column l(x) — the number of an original 100,000 births still alive at each age. For males, l(30)=96,992 falls to l(48)=91,405, so cumulative mortality from age 30 to 48 is (96,992 − 91,405) / 96,992 = 0.0576, i.e. ~5.76%. For females, l(30)=98,415 falls to l(48)=95,429, giving (98,415 − 95,429) / 98,415 = 0.0303, i.e. ~3.03%. A sex-blended average is approximately 4.4%.
  2. [2] Social Security Administration, Office of the Chief Actuary — Disability and Death Probability Tables for Insured Workers Born in 2005 — Actuarial Note 2025.6 Verified
    Disability and Death Probability Tables for Insured Workers Born in 2005 — Actuarial Note 2025.6
    Statistic
    About 1 in 4 of today's 20-year-olds will become disabled before reaching normal retirement age (67); probability of surviving from age 20 to NRA without disability is 66% for men and 71% for women
    Excerpt
    “"For those who attain age 20 in 2025, it is projected that the probability of surviving from age 20 to NRA without ever being disabled is 66 percent for men and 71 percent for women." ”
    Source data from
    2025-09-01
    Accessed
    2026-04-19 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    SSA defines disability here as qualifying for Social Security disabled worker benefits — a high bar requiring inability to engage in substantial gainful activity for 12+ months. The source states that the probability of surviving from age 20 to NRA (67) without ever being disabled is 66% for men and 71% for women — i.e. roughly 1 in 4 become disabled over that full 47-year window. For the narrower 18-year window relevant to parenting (age 30 to 48), proportional scaling of that 47-year figure is a disclosed estimate (not directly stated by SSA) yielding an approximate 5% qualifying-disability probability. Combining with the source-stated mortality (~4.4% sex-blended) and subtracting partial overlap gives the ~9% central estimate for death or lasting disability.
  3. [3] Nature Medicine — Orphanhood and caregiver death among children in the United States by all-cause mortality, 2000–2021
    Orphanhood and caregiver death among children in the United States by all-cause mortality, 2000–2021
    Statistic
    An estimated 2.91 million US children (4.2% of children under 18) had experienced the death of a parent or caregiver as of 2021, with incidence increasing 49.5% since 2000
    Excerpt
    “"In 2021, an estimated 2.91 million children (4.2% of children) had in their lifetime experienced prevalent orphanhood and caregiver death combined, with incidence increasing by 49.5% and prevalence by 7.9% since 2000." ”
    Source data from
    2025-01-10
    Accessed
    2026-04-19 · archived copy
    Calculation
    This cross-sectional prevalence figure (4.2% of children) captures a snapshot: at any given time, roughly 1 in 24 US children under 18 have already lost a parent or primary caregiver. This is consistent with (and slightly higher than) the per-parent mortality probability derived from life tables, because it aggregates across all parental ages at birth, both parents, and includes caregiver deaths beyond biological parents. The increase since 2000 is largely driven by drug overdose deaths surpassing COVID-19 as the leading cause of parental death by 2021.
    Independence
    This study uses CDC WONDER mortality data as its upstream, independent of the SSA life tables which use SSA-area population data. The two datasets overlap substantially but are compiled by different agencies with different methodologies.
  4. [4] LIMRA and Life Happens — 2025 Facts About Life Insurance
    2025 Facts About Life Insurance
    Statistic
    51% of US consumers report having life insurance (down from 63% in 2011); 40% say they need or need more coverage; adults under 30 overestimate term life cost by 10-12x
    Excerpt
    “"Just 51 percent of consumers say they have life insurance coverage, down from 63 percent in 2011. Adults age 30 and younger overestimate the cost of life insurance by 10 to 12 times." ”
    Source data from
    2025-09-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    LIMRA data is used here for context on the perception gap — the disconnect between the actuarial probability and the behavioral response (insurance ownership). The 10-12x cost overestimate among young adults helps explain why a ~9% combined risk goes largely uninsured: the perceived cost of addressing it is wildly inflated relative to the actual premium.

434 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Skipping care over ICE fear — 1 in 7.1 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.3 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 9.8 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Parent death/disability — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 26 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Dying without heir — 1 in 100 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 709 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 159 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Child nicotine-pouch ingestion — 1 in 7,937 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Crocodile attack — 1 in 337,838 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000
Lottery jackpot 1 in 95,238

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