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Kids · reviewed 2026-04-19

What are the odds of a child dying before age 18 in the US?

Evidence quality 4.88/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
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 4.88/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 143

0.7% lifetime chance

Most people overestimate this.

range 1 in 200 to 1 in 91

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 41 1 in 286

● your factors — click this risk ▾ to reveal

≈ As likely as

A simple growth chart line rising steadily from left to right against a soft grey background, flat vector illustration.

Perceived

No formal survey asks parents to estimate the probability that their child will die before adulthood, but the fear scarcely needs quantification. It anchors an entire industry of safety products, drives helicopter parenting norms, and dominates pediatrician waiting-room anxieties. The availability heuristic does most of the work: every child death reported on the news feels like evidence that the baseline rate is high, precisely because such deaths are rare enough to be individually newsworthy. Most parents, if pressed, would guess a number far above the actual figure — some studies on domain-specific child risks (drowning, abduction, anaphylaxis) find parental estimates 10x to 100x the true rate.

Rough estimate: Parents intuit the risk is far higher than it is; few could name a number below 5%

Source: editorial intuition, not polled

Actual

~7 deaths per 1,000 live births before age 18 (US, 2022)

US children born alive

Show derivation

Derived from the CDC / NCHS 2022 United States Life Tables (NVSR Vol. 74, No. 2). Out of a hypothetical cohort of 100,000 live births (both sexes combined), approximately 99,300 survive to exact age 18, implying ~700 deaths per 100,000 or 7 per 1,000. This aligns with the World Bank / UNICEF under-18 mortality indicator of 7 per 1,000 for the US in 2022-2023. The figure is a period life-table estimate, not a cohort projection — it assumes 2022 age-specific mortality rates persist unchanged. Roughly 80% of the cumulative risk is concentrated in the first year of life (infant mortality rate 5.61 per 1,000 in 2023). The uncertainty band reflects year-to-year variation, racial/ethnic disparities (Black infant IMR ~10.9 vs Asian ~3.4 per 1,000), and state-level range (New Hampshire 2.9 vs Mississippi 8.9 per 1,000 for infants alone).

Caveats: The headline 7-per-1,000 figure is a period estimate from the 2022 US life table…

The headline 7-per-1,000 figure is a period estimate from the 2022 US life table, not a cohort projection for children born in 2022. If age-specific mortality continues its long-term decline, children born today will likely face even lower cumulative risk. Conversely, the 2021-2022 data showed the first year-over-year increase in infant mortality in two decades — partly attributable to the Dobbs v. Jackson decision's effects on access to reproductive care in some analyses, though causality remains debated. The regional_breakdown by age group uses approximate cumulative rates (annual rate × years) rather than exact life-table multiplication, so they sum to slightly more than the life-table total. The teen bracket uses an estimated 60 per 100,000/year for ages 15-17, extracted from the lower portion of the CDC's 15-24 age band. Racial and socioeconomic disparities are substantial and persistent: Black infant mortality remains roughly double the national average, and state-level variation spans a 3x range.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
Infant (0-1 year) 1 in 179 ~80% of all under-18 mortality; 5.61 per 1,000 live births (2023)
Toddler (1-4 years) 1 in 893 28.0 per 100,000/year × 4 years; leading cause: unintentional injury (drowning, motor vehicles)
School age (5-14 years) 1 in 654 15.3 per 100,000/year × 10 years; leading causes: accidents, cancer, congenital anomalies
Teen (15-17 years) 1 in 556 ~60 per 100,000/year × 3 years; leading causes: firearms, motor vehicles, suicide
US overall (birth to 18) 1 in 143
Sub-Saharan Africa (under-5 alone) 1 in 14 69 per 1,000 live births; 10x the entire US birth-to-18 figure
US in 1900 (under-5 alone) 1 in 5.0 ~200 per 1,000; roughly 1 in 5 children did not reach age 5

Risks at similar odds

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

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Untreated childhood flat feet

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Maternal age & birth defects

What are the odds of a baby having a chromosomal disorder based on parental age?

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Infant fall

What are the odds of serious injury when an infant falls from furniture (sofa, bed, changing table)?

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Childbirth death (SSA)

What are the odds of dying in childbirth in Sub-Saharan Africa?

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Maternal mortality

What are the odds of dying from pregnancy-related causes?

Health

Childhood cancer diagnosis

What are the odds of a child being diagnosed with cancer before age 20?

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SIDS

What are the odds of an infant dying of SIDS (sudden infant death syndrome)?

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Pool drowning

What are the odds of a child drowning in a swimming pool?

Compare to:

Roughly 7 out of every 1,000 children born alive in the United States today will not survive to their eighteenth birthday. That is the figure that falls out of the CDC’s 2022 period life tables — about 99,300 survivors at exact age 18 from a hypothetical cohort of 100,000. The number is dominated by infancy: the infant mortality rate of 5.6 per 1,000 accounts for approximately 80 percent of the total. After the first birthday, annual mortality drops to 28 per 100,000 for ages 1-4, drifts lower still through the school years at 15 per 100,000, then climbs again in the mid-teens as firearms, motor vehicles, and suicide enter the picture. The cumulative probability is, by any historical or global standard, astonishingly small.

The historical context is where the number becomes genuinely remarkable. In 1900, the CDC estimates that up to 30 percent of infants in some US cities died before their first birthday, and roughly one in five children did not survive to their fifth birthday — an under-5 mortality rate near 200 per 1,000. The current US under-5 rate is about 6.5 per 1,000, a reduction exceeding 95 percent in a little over a century, driven by sanitation, vaccination, antibiotics, obstetric care, and car-seat laws, among other unglamorous interventions. Globally, the picture is less uniform: sub-Saharan Africa’s under-5 mortality of 69 per 1,000 in 2023 exceeds the entire US birth-to-18 figure by a factor of ten. A child born in the United States today faces lower mortality risk in the first eighteen years of life than a child born almost anywhere else at almost any other point in recorded history.

None of which makes the fear irrational. A 0.7 percent probability is not zero, and the asymmetry of the outcome — one’s child dying versus not dying — is not a domain where expected-value arithmetic offers much comfort. What the numbers do clarify is the gap between perception and reality. Parents who restrict outdoor play, refuse to let children walk to school, or lie awake imagining abductions are responding to an availability signal, not a statistical one. The coverage of child deaths has intensified as the deaths themselves have become rarer, creating a paradox in which the safest generation of American children is raised by the most anxious generation of American parents. The 993 out of 1,000 who will reach adulthood are the untold story.

1 in 31 children (3.2%) will be diagnosed with autism. 0.7% of children die before age 18. Parents catastrophize the diagnosis that is 4x more common than the outcome they never think about.

Read more → ⇄ compare

The probability of a US child dying before age 18 from any cause is about 0.7%. Stranger abduction is orders of magnitude rarer. Parents reliably rate the rarer event as the greater threat.

Read more → ⇄ compare

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. [1] National Center for Health Statistics, CDC (NVSR Vol. 74, No. 2) — United States Life Tables, 2022
    United States Life Tables, 2022
    Statistic
    Out of 100,000 live births (both sexes), approximately 99,300 survive to exact age 18 in the 2022 period life table
    Excerpt
    “"The entry lx shows the number of persons surviving to the beginning of the indicated age interval out of 100,000 live births, and all subsequent columns are derived from the qx column — the probability of dying between exact ages x and x+1." ”
    Source data from
    2025-04-08
    Accessed
    2026-04-19 · archived copy
    Calculation
    CDC 2022 life tables: lx at age 0 = 100,000; lx at age 18 ≈ 99,300 (both sexes combined). Deaths before 18 = 100,000 − 99,300 = ~700. Probability = 700 / 100,000 = 0.007 or 7 per 1,000. Female survival is slightly higher (~99,488 survive year 1) than male (~99,400). The combined figure of ~99,300 at age 18 accounts for the sharp infant mortality spike plus the lower but nonzero childhood and adolescent rates.
    Independence
    Primary US life-table source built from NCHS/NVSS death-certificate data and Census Bureau mid-year population estimates. The age-specific death rates from CDC FastStats and the World Bank / UNICEF indicator are derived from the same underlying vital registration system.
  2. [2] World Bank, sourced from UN Inter-agency Group for Child Mortality Estimation — Mortality rate, under-5 (per 1,000 live births)
    Mortality rate, under-5 (per 1,000 live births)
    Statistic
    US under-5 mortality rate: ~6.5 per 1,000 live births (2023); global average: 36.7 per 1,000
    Excerpt
    “"The under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year." ”
    Source data from
    2024-12-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    US under-5 mortality of ~6.5 per 1,000 confirms that the vast majority of the cumulative birth-to-18 mortality (~7 per 1,000) is concentrated before age 5. The additional ~0.5 per 1,000 from ages 5-17 reflects the much lower per-year rates in school-age children and the modest uptick in the teenage years (accidents, firearms, suicide). Global average of 36.7 per 1,000 under-5 provides cross-country context.
    Independence
    World Bank compiles estimates from the UN IGME, which uses a Bayesian model fit to country-reported vital registration data. For the US, the underlying data source is the same NVSS system as the CDC life tables, but the statistical methodology differs.
  3. [3] National Center for Health Statistics, CDC (Data Brief No. 492) — Mortality in the United States, 2022
    Mortality in the United States, 2022
    Statistic
    Age-specific death rates in 2022: ages 1-4: 28.0 per 100,000; ages 5-14: 15.3 per 100,000; ages 15-24: 79.5 per 100,000
    Excerpt
    “"In 2022, age-adjusted death rates decreased from 2021 for the total population [...] Age-specific death rates increased from 2021 to 2022 for age groups 1–4 and 5–14 years." ”
    Source data from
    2024-03-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    Age-band rates used to cross-check the life-table cumulative. Infant rate ~560 per 100,000 (5.6 per 1,000) dominates. Ages 1-4: 28.0 per 100,000/year × 4 years ≈ 112 per 100,000 cumulative. Ages 5-14: 15.3 × 10 ≈ 153. Ages 15-17 (estimated as lower end of 15-24 bracket): ~60 per 100,000/year × 3 ≈ 180. Sum: 560 + 112 + 153 + 180 ≈ 1,005 per 100,000, or ~1% — slightly above the life-table figure because summing annual rates double-counts slightly vs the multiplicative life-table method. The life-table's ~0.7% is the more precise estimate.
    Independence
    Same NCHS/NVSS vital statistics as the life tables but reported as crude age-specific rates in a different publication format. Not independent.
  4. [4] CDC Morbidity and Mortality Weekly Report (MMWR) — Achievements in Public Health, 1900-1999: Healthier Mothers and Babies
    Achievements in Public Health, 1900-1999: Healthier Mothers and Babies
    Statistic
    In 1900, up to 30% of infants in some US cities died before their first birthday; infant mortality was approximately 100 per 1,000 live births
    Excerpt
    “"In 1900 in some U.S. cities, up to 30% of infants died before reaching their first birthday." ”
    Source data from
    1999-10-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    The 1900 infant mortality rate of ~100 per 1,000 live births (with up to 30% infant mortality in some cities) anchors the historical comparison. With life expectancy near 47 years and high child mortality from infectious disease, roughly 20% of children born alive did not survive to age 5. Current US figure of ~6.5 per 1,000 under-5 represents a >95% reduction over 120 years.

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