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Perceived fear vs. actual probability

What are the odds of your child being diagnosed with autism spectrum disorder?

Lifetime probability · subgroup

1 in ~31

per child (US)

3.2% lifetime chance

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 · CDC MMWR Surveillance Summaries
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 5.0 1 in 71

● your factors — click this risk ▾ to reveal

  1. Your factors
A single puzzle piece in muted blue resting on a pale background, flat vector illustration, calm and understated.

Perceived

Autism sits near the top of parental anxieties in the United States. The steady upward march of CDC prevalence numbers — from 1 in 150 in 2000 to 1 in 31 in 2022 — produces a feeling that something unprecedented is happening to children. Media coverage tends toward the word "epidemic," which implies a cause that must be found and stopped. Most parents can cite a rough prevalence figure (typically "about 1 in 36" or "1 in 30-something"), but the fear usually outweighs the number: the diagnosis carries connotations of lifelong dependency that apply to only a fraction of the spectrum.

Rough estimate: Most parents are roughly correct on prevalence but overestimate severity

Source: editorial intuition, not polled

Actual

1 in 31 (3.2%) among 8-year-olds (US, 2022 surveillance year)

US children aged 8, CDC ADDM Network 2022

Show derivation

The CDC ADDM Network 2025 community report (2022 surveillance year) identifies 3.2% of 8-year-olds as having ASD. Because ASD is a developmental condition diagnosed in childhood, the 8-year-old prevalence is the standard proxy for per-child lifetime diagnosis probability. Some diagnoses occur after age 8 (particularly in girls and in children without intellectual disability), so 3.2% is likely a slight undercount of eventual lifetime identification. The figure is used directly as lifetime_us_adult for schema compatibility; the scope field clarifies this is a subgroup (per-child) lifetime figure.

Caveats: The 1-in-31 figure comes from the CDC's ADDM Network, which uses health and educ…

The 1-in-31 figure comes from the CDC's ADDM Network, which uses health and education records rather than direct clinical assessment. It captures children identified by age 8; some individuals — especially girls and those without intellectual disability — receive a diagnosis later in adolescence or adulthood, so the true lifetime prevalence is likely somewhat higher. Prevalence varies considerably by ADDM site; California reported rates as high as 1 in 12.5 in the 2022 data. The spectrum ranges from profound disability requiring full-time support to subclinical traits compatible with full independence, so a single prevalence number conceals enormous heterogeneity in outcomes.

Related risks

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Child fall head injury

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Play swing & slide injury

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C-section complications

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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?

Compare to:

The CDC’s ADDM Network reported in April 2025 that 1 in 31 children (3.2%) born in 2014 had been identified with autism spectrum disorder by age 8 — up from 1 in 36 in 2020 surveillance, 1 in 68 in 2010, and 1 in 150 in 2000. The trajectory looks alarming on a chart: a nearly fivefold increase in two decades. Boys are diagnosed at 3.4 times the rate of girls (4.9% vs. 1.4%), though that ratio has been narrowing as clinicians get better at recognizing autism presentations that do not match the stereotypical male profile. Genetics dominates the etiology: a meta-analysis of twin studies put heritability in the 64-91% range, with the correlation between identical (monozygotic) twins reaching .98. Having a sibling with ASD raises the probability to roughly 1 in 5. Advanced paternal age and extreme prematurity each add a modest further bump.

The word “epidemic” appears in nearly every headline about these numbers, but most autism researchers resist it. The DSM-5 folded Asperger syndrome and PDD-NOS into a single autism spectrum disorder diagnosis in 2013, mechanically broadening the population that qualifies. School systems began conducting universal screening, catching children who would have been labeled “quirky” or “learning disabled” a generation earlier. Awareness campaigns have also pushed diagnosis earlier: the CDC’s 2022 surveillance report puts the median age of ASD diagnosis at 47 months, just under 4, pulling more cases into surveillance windows they previously missed. Johns Hopkins researchers summarize the consensus bluntly: the rise is primarily “broadened diagnostic definitions, better screening, and increased awareness.” Some portion of the increase may be genuine — prenatal environmental exposures and demographic shifts in parental age are plausible contributors — but no study has succeeded in isolating a large, unexplained residual after accounting for diagnostic and methodological changes.

What the headline number conceals is the width of the spectrum. The same 3.2% label covers individuals who are nonverbal and require round-the-clock support alongside software engineers, university professors, and Olympic athletes who received a diagnosis in their thirties. Nearly 40% of children identified by the ADDM Network have a co-occurring intellectual disability; the majority do not. For many families, an ASD diagnosis is the beginning of a productive path to tailored support, not a catastrophe. The fear worth calibrating is not “will my child be autistic” — the 1-in-31 number is what it is — but rather the implicit catastrophizing that treats every point on a vast spectrum as equivalent to its most disabling end.

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

Current US data puts the autism diagnosis rate at 1 in 31 children (3.2%). The rate has risen steadily, largely due to broadened criteria and improved detection, not a true increase in prevalence.

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] CDC MMWR Surveillance Summaries — Prevalence and Early Identification of Autism Spectrum Disorder Among Children Aged 4 and 8 Years — ADDM Network, 16 Sites, United States, 2022
    Prevalence and Early Identification of Autism Spectrum Disorder Among Children Aged 4 and 8 Years — ADDM Network, 16 Sites, United States, 2022
    Statistic
    3.2% (1 in 31) of 8-year-olds identified with ASD across 16 ADDM sites in 2022; boys 4.9% (1 in 20), girls 1.4% (1 in 71); ratio 3.4:1
    Excerpt
    “"About 1 in 31 (3.2%) children aged 8 years has been identified with ASD according to estimates from CDC's Autism and Developmental Disabilities Monitoring (ADDM) Network." ”
    Source data from
    2025-04-15
    Accessed
    2026-04-19 · archived copy
    Calculation
    The ADDM 2022 report gives 3.2% prevalence among 8-year-olds as the headline figure. This is used directly as the native and normalized value because 8-year-old prevalence is the standard epidemiological benchmark for ASD. Numerator 32 per denominator 1,000 = 0.032. Boys: 4.9% (1 in 20). Girls: 1.4% (1 in 71). Ratio: 3.4 boys per girl.
  2. [2] Journal of Child Psychology and Psychiatry — Heritability of autism spectrum disorders: a meta-analysis of twin studies Verified
    Heritability of autism spectrum disorders: a meta-analysis of twin studies
    Statistic
    ASD heritability estimated at 64-91% across twin studies (point estimates 74% [95% CI 0.70-0.87] and, with thresholds set to 5% prevalence, 93% [95% CI 0.77-0.99])
    Excerpt
    “"The meta-analytic heritability estimates were substantial: 64-91%." ”
    Source data from
    2016-01-21
    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 meta-analysis aggregates seven twin studies. The first meta-analysis yielded a heritability of 74% (95% CI 0.70-0.87); when thresholds were fixed to 5% prevalence the estimate rose to 93% (95% CI 0.77-0.99), giving the reported 64-91% range. This figure is used in the body text as context for the genetics discussion. It does not feed into the prevalence calculation directly but establishes that genetic factors dominate ASD etiology.
    Independence
    This is an independent academic meta-analysis of twin concordance data, entirely separate from the CDC ADDM surveillance system used for the prevalence figure.
  3. [3] Johns Hopkins Bloomberg School of Public Health — Is There an Autism Epidemic?
    Is There an Autism Epidemic?
    Statistic
    Broadened diagnostic criteria, better screening, and increased awareness account for the majority of the prevalence rise over the past two decades
    Excerpt
    “"A gradual rise over the past 20 years is due to broadened diagnostic definitions, better screening, and increased awareness." ”
    Source data from
    2025-01-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    This is a contextual source explaining the trajectory of ASD prevalence. It does not contribute a numeric estimate but provides the expert consensus that most of the increase from 1 in 150 (2000) to 1 in 31 (2022) reflects diagnostic expansion rather than a true increase in the underlying condition.
  4. [4] CDC MMWR Surveillance Summaries — Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020 Verified
    Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020
    Statistic
    27.6 per 1,000 (1 in 36) of 8-year-olds identified with ASD across 11 ADDM sites in the 2020 surveillance year; 3.8x higher among boys than girls (43.0 vs 11.4 per 1,000)
    Excerpt
    “"The overall ASD prevalence was 27.6 per 1,000 (one in 36) children aged 8 years... was 3.8 times as prevalent among boys as among girls (43.0 versus 11.4)." ”
    Source data from
    2023-03-24
    Accessed
    2026-07-03 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    The ADDM 2020 report (11 sites) is the surveillance year immediately preceding the 2022 report (16 sites, first source above) and supplies the intermediate data point cited in the body text's prevalence trajectory: 1 in 150 (2000) -> 1 in 68 (2010) -> 1 in 36 (2020) -> 1 in 31 (2022). Site count grew from 11 to 16 between the two most recent surveillance years, which is one contributor to the apparent trend alongside genuine diagnostic-practice change.

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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