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Perceived fear vs. actual probability

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

Lifetime probability · subgroup

1 in ~103

(cumulative, birth to age 18, US)

1% lifetime chance

Most people overestimate this.

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

Kids · reviewed 2026-04-19
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
Source Government statistic · National Center for Health Statistics, CDC (NVSR Vol. 74, No. 2)
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 29 1 in 206

● your factors — click this risk ▾ to reveal

  1. Your factors
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

~9.7 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), Table 1 (total population). Out of a hypothetical cohort of 100,000 live births (both sexes combined), 99,029 survive to exact age 18 (the lx entry for the 18-19 age interval), implying 100,000 − 99,029 = 971 deaths per 100,000, or ~9.7 per 1,000. The World Bank / UNICEF indicator of ~7 per 1,000 covers only under-5 mortality, a subset of the birth-to-18 window; the life table's own lx at age 5 (99,328) puts under-5 mortality at ~6.7 per 1,000, so the full birth-to-18 figure necessarily exceeds it. The figure is a period life-table estimate, not a cohort projection — it assumes 2022 age-specific mortality rates persist unchanged. Roughly 58% of the cumulative risk is concentrated in the first year of life (560 of 971 deaths per 100,000; 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 ~9.7-per-1,000 figure is a period estimate from the 2022 US life ta…

The headline ~9.7-per-1,000 figure is a period estimate from the 2022 US life table (Table 1, lx = 99,029 at exact age 18), not a cohort projection for children born in 2022. Note this exceeds the commonly cited World Bank under-5 rate of ~7 per 1,000 because under-5 is only a subset of the birth-to-18 window. 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.

Related risks

Other risks on similar themes — for exploring related fears.

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Play swing & slide injury

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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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Child swallows object (ER)

What are the odds a young child swallows a non-food object and needs medical care?

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Co-sleeping death

What are the odds of an infant dying from co-sleeping or bed-sharing?

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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?

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Life-threatening birth (US)

What are the odds of a life-threatening complication during childbirth?

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Toddler stair fall

What are the odds of a toddler suffering serious injury from falling down stairs?

Compare to:

Roughly 10 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 — 99,029 survivors at exact age 18 from a hypothetical cohort of 100,000, meaning 971 deaths, or about 1 in 103. The number is dominated by infancy: the infant mortality rate of 5.6 per 1,000 accounts for roughly 58 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 about seven. 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 ~1 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 990 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.

2/4 sources independently verified verbatim against the cited source

  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), 99,029 survive to exact age 18 in the 2022 period life table (lx for the 18-19 age interval)
    Excerpt
    “"Table 1. Life table for the total population: United States, 2022 [...] Age 18-19: qx = 0.000680, lx = 99,029, dx = 10." The lx column shows the number of persons surviving to the beginning of the indicated age interval out of 100,000 live births. ”
    Source data from
    2025-04-08
    Accessed
    2026-04-19 · archived copy
    Calculation
    CDC 2022 life tables, Table 1 (total population): lx at age 0 = 100,000; lx at the 18-19 interval (exact age 18) = 99,029 (both sexes combined). Deaths before 18 = 100,000 − 99,029 = 971. Probability = 971 / 100,000 = 0.0097, or ~9.7 per 1,000 (about 1 in 103). Cross-check within the same table: lx at age 1 = 99,440 (infant mortality 560 per 100,000 = 5.6 per 1,000) and lx at age 5 = 99,328 (under-5 mortality 672 per 100,000 = 6.7 per 1,000). Infancy accounts for ~58% of the cumulative birth-to-18 deaths (560 of 971).
    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) Verified
    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
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    US under-5 mortality of ~6.5-7 per 1,000 is a subset — not the whole — of the cumulative birth-to-18 mortality (~9.7 per 1,000 from the life table). Under-5 alone is the floor; the additional ~3 per 1,000 accumulates from ages 5-17, driven by the low but nonzero school-age rate and the marked uptick in the teenage years (accidents, firearms, suicide). Because under-5 is a subset, the under-5 indicator and the birth-to-18 headline cannot be equal. 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 ~1.0% — closely matching the life-table figure of 971 per 100,000 (~0.97%). This independent age-band cross-check corroborates the ~9.7 per 1,000 birth-to-18 headline derived from the life table's lx at age 18.
    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 Verified
    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
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    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.

434 risks with measured probability
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— 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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