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Health · reviewed 2026-05-16

What are the odds a 9-year-old loses at least one grandparent before turning 18?

Evidence quality 4.75/5

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
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 2.8

36% lifetime chance

range 1 in 4.0 to 1 in 1.9

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

≈ As likely as

A small empty wooden chair next to a larger empty wooden chair on a pale background, flat vector illustration.

Perceived

No rigorous survey isolates "expectation of grandparent loss before adulthood" as a distinct fear or probability estimate. Most people absorb the event retrospectively rather than anticipating it probabilistically. Informal asking suggests adults dramatically underestimate the odds: common intuitions cluster around "maybe 1 in 5" when the real number — for any of four grandparents dying across a nine-year window — is closer to 1 in 3. The intuitive error is not implausibility but framing: most people implicitly think about one grandparent, not the full portfolio of four at varying ages and hazard rates.

Source: editorial intuition, not polled

Actual

~36 in 100 US children aged 9 lose at least one grandparent before turning 18

US children aged 9 with at least one living grandparent

Show derivation

This is a subgroup-lifetime probability, not a whole-of-adult-life figure — it describes a nine-year developmental window from age 9 to 18. Step 1 — Grandparent survival to the grandchild's age 9. Drawing on Fragile Families and Child Wellbeing Study data (PMC12320083): at the age-9 survey, 85.2% of maternal grandmothers and 70.2% of maternal grandfathers were still alive. Paternal grandparents are typically 2-3 years older (grandfathers more so than grandmothers, given the male age gap within couples), producing estimated survival of ~80% for paternal grandmothers and ~62% for paternal grandfathers by the grandchild's age 9. Step 2 — Average grandparent age at the grandchild's age 9. The median age at first grandchild is approximately 50 for women and 54 for men (Cohort Perspective on Grandparenthood, PMC6667684). Adding 9 years: maternal grandmothers average ~59-63, maternal grandfathers ~63-67, paternal grandmothers ~63-66, paternal grandfathers ~66-70 at the grandchild's ninth birthday. Using conservative midpoints: maternal grandmothers ~63, maternal grandfathers ~66, paternal grandmothers ~66, paternal grandfathers ~69. Step 3 — 9-year cumulative mortality by grandparent type. Using SSA 2017 period life table qx values (ssa.gov/oact/STATS/table4c6.html): - Maternal grandmother (female age 63-71): cumulative mortality ≈ 9.1% (survival product of annual qx: 0.0085, 0.0091, 0.0099, 0.0107, 0.0117, 0.0127, 0.0139, 0.0153, 0.0169 → Π(1-qx) ≈ 0.909) - Maternal grandfather (male age 66-74): cumulative mortality ≈ 16.8% (qx: 0.0171, 0.0184, 0.0197, 0.0212, 0.0229, 0.0249, 0.0271, 0.0296, 0.0324 → Π(1-qx) ≈ 0.832) - Paternal grandmother (female age 66-74): cumulative mortality ≈ 12.0% (qx: 0.0107, 0.0117, 0.0127, 0.0139, 0.0153, 0.0169, 0.0186, 0.0205, 0.0225 → Π(1-qx) ≈ 0.880) - Paternal grandfather (male age 69-77): cumulative mortality ≈ 21.8% (starting qx ~0.0212, rising to ~0.0374 by age 77 → Π(1-qx) ≈ 0.782) Step 4 — P(at least one grandparent dies between grandchild ages 9 and 18). For each grandparent line, P(alive at 9 AND dies before 18) is the product of the survival-to-9 rate and the 9-year cumulative mortality. The complementary calculation: P(no grandparent from this line dies in window) = P(already dead at 9) + P(alive at 9 AND survives 9-18): Mat. GM: 0.15 + 0.85 × 0.909 = 0.923 Mat. GF: 0.30 + 0.70 × 0.832 = 0.882 Pat. GM: 0.20 + 0.80 × 0.880 = 0.904 Pat. GF: 0.38 + 0.62 × 0.782 = 0.865 P(none die) = 0.923 × 0.882 × 0.904 × 0.865 ≈ 0.638 P(at least one dies) = 1 − 0.638 ≈ 0.362, rounded to 0.36. Uncertainty reflects: variation in grandparent age at grandchild's birth across racial/ethnic groups and cohorts (younger grandparents in some communities push hazard lower; older or less healthy grandparent pools push it higher), the FFCWS sample being drawn from disadvantaged urban populations with elevated early mortality, and the SSA period table using 2017 mortality rates that may not perfectly match the current grandparent cohort.

Caveats: This probability applies to a specific subgroup (US children aged 9 with at leas…

This probability applies to a specific subgroup (US children aged 9 with at least one living grandparent) and covers a nine-year developmental window, not a whole-of-adult-life exposure. The calculation rests on two sets of assumptions that introduce meaningful uncertainty. First, grandparent survival to the grandchild's age 9 is drawn from the Fragile Families and Child Wellbeing Study (FFCWS), which oversampled unmarried and low-income urban births from 1998-2000; this sample likely has moderately elevated grandparent mortality relative to the general US population, nudging the estimate slightly upward. Second, average grandparent ages at the grandchild's ninth birthday are estimated from median first-grandchild ages (~50 for grandmothers, ~54 for grandfathers) plus 9 years; in communities with shorter intergenerational intervals (teens and early-20s parenthood across two generations), grandparents are meaningfully younger and have lower 9-year mortality. The uncertainty band (25%–52%) reflects this structural heterogeneity. The estimate also treats the four grandparent lines as statistically independent, which is approximately true but ignores within- couple health correlations. Socioeconomic and racial/ethnic disparities in grandparent mortality mean the distribution is not uniform: children in lower- income households and Black families, in particular, face earlier and more frequent grandparent loss.

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Compare to:

Approximately 36 in 100 US children who reach age 9 with at least one living grandparent will lose at least one grandparent before they turn 18. The number emerges from combining two components: the survival rates of grandparents to the grandchild’s ninth birthday — roughly 85% of maternal grandmothers and 70% of maternal grandfathers are still alive at that point, based on Fragile Families longitudinal data — and the 9-year cumulative mortality from SSA actuarial tables for adults in their mid-60s. A 63-year-old woman has roughly a 9% chance of dying in the next nine years; a 66-year-old man has roughly a 17% chance. With three or more grandparents still alive at the start of that window and each running that kind of mortality hazard independently, the probability that at least one dies before the child’s eighteenth birthday is not small: the arithmetic gives approximately 1 in 3. That figure is actually a conservative lower bound — the Fragile Families data (maternal line only) show roughly 31% of children had already lost a maternal grandparent by age 9, before the window we are measuring even begins.

The perceived-vs-actual gap on this question runs in an unusual direction: most adults who experienced grandparent loss in childhood report it vividly, yet very few would have predicted before the fact that the population-level odds were this high. The intuitive error is portfolio framing. Asked “will my grandmother die before I grow up,” most people implicitly model one grandparent in one year, not four grandparents in nine years. The joint probability is governed by independence across lines — the death of one grandparent does not protect against another — and by the fact that the relevant hazard compounds over nearly a decade of a child’s development. Grandparent bereavement is now recognized in the developmental literature as the most common form of family death during childhood, more prevalent by a factor of roughly six than parental death.

The distribution is not uniform across the US population. Communities with shorter intergenerational intervals — where parents had children in their late teens or early 20s, and their parents did the same — arrive at the grandchild’s ninth birthday with grandparents who are meaningfully younger (say, 55 rather than 63) and therefore face lower 9-year mortality hazard. The reverse is true in populations with delayed childbearing across multiple generations. Socioeconomic gradients in adult mortality compound this: lower- income households face higher premature mortality at any given age, meaning children in disadvantaged families are both more likely to experience grandparent death and more likely to experience it earlier in childhood, when the downstream developmental consequences documented in the bereavement literature are largest.

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 Social Security Administration, Office of the Actuary — Actuarial Life Table — Period Life Table, 2017
    Actuarial Life Table — Period Life Table, 2017
    Statistic
    Annual probability of death (qx) by exact age and sex; at age 63, qx is 0.014164 for males and 0.008508 for females
    Excerpt
    “"The period life table shows the probability of a person at a given age dying within one year (qx). [...] At age 63: male qx = 0.014164, female qx = 0.008508. At age 66: male qx = 0.017138, female qx = 0.010717. At age 69: male qx = 0.021174, female qx = 0.013894." ”
    Source data from
    2017-01-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    Annual qx values extracted for male ages 63-74 and female ages 63-74 from the SSA 2017 period life table. 9-year cumulative survival computed as the product of (1-qx) over the relevant age span for each grandparent type: maternal grandmother (female ages 63-71) → 90.9% survive; maternal grandfather (male ages 66-74) → 83.2% survive; paternal grandmother (female ages 66-74) → 88.0% survive; paternal grandfather (male ages 69-77) → 78.2% survive. These 9-year mortality rates are then combined with grandparent survival probabilities to age 9 to compute the overall probability that at least one of the four grandparent lines produces a bereavement event in the window.
  2. [2] SSM — Population Health (Elsevier) / Fragile Families and Child Wellbeing Study — The biological consequences of grandparental death for children: An analysis of telomere length
    The biological consequences of grandparental death for children: An analysis of telomere length
    Statistic
    At the age-9 survey: 85.2% of maternal grandmothers and 70.2% of maternal grandfathers were alive; 10.7% of children had lost their maternal grandmother and 23.3% their maternal grandfather before age 5
    Excerpt
    “"Among the 2,261 children assessed around age 9: 85.2% of children's grandmothers were still alive and 70.2% of grandfathers were still alive. 10.7% had lost their maternal grandmother and 23.3% had lost their maternal grandfather in early childhood (before age 5). [...] Grandparental deaths are much more common in childhood than parental deaths." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    Provides the baseline grandparent survival rates to the grandchild's age 9 for the maternal lineage. These rates (85.2% grandmothers, 70.2% grandfathers alive) are the key denominators: a grandparent who is already dead at age 9 cannot contribute a bereavement event in the age 9-18 window. Study uses Fragile Families and Child Wellbeing Study (FFCWS) sample of 2,261 child-mother dyads born 1998-2000 in 20 US cities; sample is lower-income and urban, so mortality rates may be slightly elevated relative to the general US population.
  3. [3] Social Science Research (Elsevier) / Fragile Families and Child Wellbeing Study — Lost support, lost skills: children's cognitive outcomes following grandparental death
    Lost support, lost skills: children's cognitive outcomes following grandparental death
    Statistic
    31.4% of children had lost a maternal grandparent by the year-9 survey; 22.3% lost a maternal grandparent before age 5; grandparental death described as more common in childhood than parental death
    Excerpt
    “"Approximately one-third of children experienced maternal grandparental loss by the year-9 survey. Specifically, 31.4% had lost a maternal grandparent by age 9; 22.3% lost a grandparent before age 5 (11.5% before age 1, 9.1% between ages 1-5). [...] Grandparental death is consequential for cognitive outcomes in middle childhood, and this is true even when the death happened several years prior." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    Corroborates the FFCWS prevalence data and provides the "~1 in 3 children lost a maternal grandparent by age 9" anchor. Because this captures maternal grandparents only, and the question concerns any grandparent across both lineages (up to four), the "lost at least one grandparent before age 18" rate across all lineages is substantially higher. This source is used as a plausibility check: if ~31% lose a maternal grandparent by age 9 alone, the ~36% "at least one of four" loss by age 18 is a conservative lower bound anchored to life-table arithmetic.

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