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Kids · reviewed 2026-04-19

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

Evidence quality 4.63/5

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
3/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5

Lifetime probability · lifetime, subgroup

1 in 200

0.5% lifetime chance

Most people overestimate this.

range 1 in 333 to 1 in 143

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 40 1 in 2,000

● your factors — click this risk ▾ to reveal

≈ As likely as

A single pair of small knitted booties resting on a plain light surface, flat vector illustration, muted colors.

Perceived

The phrase "geriatric pregnancy" — still used in clinical shorthand for anyone 35 or older — shapes perception more than any statistic. Surveys of pregnant women over 35 consistently find that most dramatically overestimate the probability of chromosomal abnormalities, with many believing the risk at 35 is "very high" or citing figures several times the actual rate. The cultural framing positions 35 as a cliff edge, when the underlying biology is a gentle, continuous slope that began climbing in the mid-20s.

Rough estimate: many women over 35 believe the risk is dramatically higher than it actually is

Source: editorial intuition, not polled

Actual

~1 in 350 live births with Down syndrome at maternal age 35

live births to mothers aged 35

Show derivation

Uses any clinically significant chromosomal abnormality at live birth for maternal age 35, estimated at approximately 1 in 200 (0.5%) from Hook 1981 and subsequent ACOG compilations. This is per pregnancy at that specific maternal age, not a lifetime cumulative figure. Down syndrome alone accounts for roughly 1 in 350 at age 35; the remainder includes trisomies 13 and 18, sex chromosome aneuploidies, and other structural abnormalities. The native rate (1 in 350) reflects Down syndrome specifically, which accounts for roughly half of all chromosomal abnormalities detected at age 35. The normalized figure (1 in 200) represents the combined probability of any chromosomal abnormality at this maternal age, as documented by Hook (1981). The figure applies to live births — many chromosomal abnormalities result in early miscarriage, so the conception rate is considerably higher.

Caveats: The age-35 threshold is a clinical convention from the 1970s when the risk of Do…

The age-35 threshold is a clinical convention from the 1970s when the risk of Down syndrome (~1/350) roughly equaled the procedural risk of amniocentesis-related miscarriage (~1/200-350). With modern NIPT offering >99% detection at <0.1% false positive, this cutoff is an artifact. Risk at any specific age applies to THAT pregnancy — it does not compound across pregnancies. Most chromosomal abnormalities result in early miscarriage, which is why miscarriage rates also rise with maternal age. Even at 45, the majority of live-born babies are chromosomally normal. Paternal age effects are real but much smaller than maternal age effects for chromosomal aneuploidies; paternal age primarily drives de novo point mutations (autism, achondroplasia) rather than nondisjunction. The figures here are for live births; midtrimester rates are approximately 20% higher because some affected pregnancies miscarry before term.

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
Maternal age 25 1 in 1,250 Down syndrome ~1/1,250; any chromosomal abnormality ~1/475
Maternal age 30 1 in 385 Down syndrome ~1/900; any chromosomal abnormality ~1/385
Maternal age 35 1 in 200 Down syndrome ~1/350; any chromosomal abnormality ~1/200
Maternal age 38 1 in 100 Down syndrome ~1/175; any chromosomal abnormality ~1/100
Maternal age 40 1 in 65 Down syndrome ~1/100; any chromosomal abnormality ~1/65
Maternal age 42 1 in 40 Down syndrome ~1/55; any chromosomal abnormality ~1/40
Maternal age 45 1 in 20 Down syndrome ~1/30; any chromosomal abnormality ~1/20

Risks at similar odds

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Infant fall

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Miscarriage

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Gestational diabetes

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Compare to:

The risk of chromosomal abnormalities rises with maternal age, and the data behind the curve is among the best-characterized in clinical genetics. For Down syndrome specifically: roughly 1 in 1,250 at age 25, 1 in 350 at 35, 1 in 100 at 40, and 1 in 30 at 45. For all clinically significant chromosomal abnormalities combined, the figures are approximately twice as high — 1 in 200 at 35, 1 in 65 at 40. The curve is continuous, not a step function, climbing gradually from the early twenties with no biological cliff at any particular birthday. Even at 40, the probability that a given baby has Down syndrome is about 1% — which means 99% do not. At 45, where the fear is most acute, roughly 95% of live-born babies are chromosomally typical.

The perception gap traces largely to a single clinical threshold. In the 1970s, age 35 was chosen as the cutoff for offering amniocentesis because at that age the risk of Down syndrome (~1 in 350) roughly equaled the risk of the procedure itself causing a miscarriage (~1 in 200 to 1 in 350). The label “advanced maternal age” — and its blunter synonym, “geriatric pregnancy” — entered clinical vocabulary and never left. With the arrival of NIPT (non-invasive prenatal testing), which detects trisomy 21 with better than 99% sensitivity and a false-positive rate below 0.1%, the risk-benefit calculus that created the cutoff has evaporated. ACOG now recommends offering screening to all pregnant patients regardless of age. But the cultural residue persists: the number 35 looms larger in the popular imagination than any probability table warrants.

Paternal age is the quieter half of the story. Kong et al. demonstrated in 2012 that a father’s age at conception adds approximately two de novo point mutations per year to the offspring’s genome, with the mutation rate doubling roughly every 16.5 years. The conditions linked to this mechanism are different from the maternal-age trisomies: autism spectrum disorder shows a modestly elevated odds ratio of roughly 1.5 to 1.75 for fathers over 45, schizophrenia risk roughly triples for the same group, and rare dominant conditions like achondroplasia and Apert syndrome are strongly paternal-age-dependent. The absolute risks remain small — the vast majority of children born to older fathers are unaffected — but the contrast with public awareness is stark. Maternal age dominates prenatal counseling conversations; paternal age is rarely mentioned at all.

At age 35, the probability of Down syndrome is about 1 in 350. That means 99.7% of pregnancies at that age are unaffected. The "geriatric pregnancy" label overstates what is, statistically, a small absolute risk.

The "35 cliff" originated from a 1970s cost-benefit analysis of amniocentesis, not biology. At 35, Down syndrome risk is 1 in 350. At 40, 99% of pregnancies are chromosomally normal. The cliff is administrative, not medical.

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] American Academy of Family Physicians (AAFP) — Down Syndrome: Prenatal Risk Assessment and Diagnosis
    Down Syndrome: Prenatal Risk Assessment and Diagnosis
    Statistic
    Risk of Down syndrome at age 25: 1/1,300; age 35: 1/365; age 40: 1/85; age 45: 1/30. Risk of any chromosomal abnormality at age 35: ~1/200.
    Excerpt
    “"The risk of a woman having a child with Down syndrome increases with the age of the mother. At age 25, the risk is about 1 in 1,250. At age 35, the risk increases to 1 in 350. By age 45, the risk increases to about 1 in 30." ”
    Source data from
    2000-08-15
    Accessed
    2026-04-19 · archived copy
    Calculation
    AAFP review article compiling Hook 1981 and Hecht & Hook 1996 age-specific rates. The 1/350 at age 35 for Down syndrome and ~1/200 for any chromosomal abnormality at 35 are used as native and normalized headline figures respectively. These are livebirth rates; midtrimester amniocentesis rates are approximately 20% higher because some affected pregnancies miscarry between 16 weeks and term.
    Independence
    Review article synthesizing Hook 1981, Hecht & Hook 1996, and ACOG data. Dependent on the same upstream datasets as the Hook primary source below, but provides the clinical synthesis used in practice guidelines.
  2. [2] Obstetrics & Gynecology — Rates of chromosome abnormalities at different maternal ages
    Rates of chromosome abnormalities at different maternal ages
    Statistic
    Clinically significant chromosomal abnormalities rise from ~1/500 at age 20 to ~1/200 at 35, ~1/65 at 40, and ~1/20 at 45
    Excerpt
    “"The estimated rate of all clinically significant cytogenetic abnormalities rises from about 2 per 1000 at the youngest maternal ages to about 5.6 per 1000 at age 35, 15.8 per 1000 at age 40, and 53.7 per 1000 at age 45." ”
    Source data from
    1981-12-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    Hook EB 1981 — the foundational dataset for maternal-age-specific chromosomal abnormality rates at livebirth, derived from large cytogenetic surveys. Rates per 1,000: age 20 ~2.0 (1/500), age 30 ~2.6 (1/385), age 35 ~5.6 (1/179), age 40 ~15.8 (1/63), age 45 ~53.7 (1/19). These remain the standard reference tables cited by ACOG and used in prenatal screening risk calculations.
    Independence
    Primary cytogenetic survey data — the upstream source for most subsequent compilations including ACOG practice bulletins and the AAFP review.
  3. [3] Nature — Rate of de novo mutations and the importance of father's age to disease risk
    Rate of de novo mutations and the importance of father's age to disease risk
    Statistic
    Each additional year of paternal age adds ~2 de novo mutations; rate doubles every 16.5 years
    Excerpt
    “"The diversity in mutation rate of single nucleotide polymorphisms is dominated by the age of the father at conception. The effect is an increase of about two mutations per year." ”
    Source data from
    2012-08-22
    Accessed
    2026-04-19 · archived copy
    Calculation
    Kong et al. 2012 — whole-genome sequencing of 78 Icelandic trios. Average de novo rate 1.20 x 10^-8 per nucleotide per generation at mean paternal age 29.7. Exponential model: paternal mutations double every 16.5 years. Used for the paternal age context in the body text. This study does not directly provide chromosomal abnormality rates but established the mechanistic basis for paternal-age effects on de novo point mutations.
    Independence
    Icelandic whole-genome sequencing study — entirely independent methodology and population from the maternal-age cytogenetic surveys. Addresses a different mutation mechanism (de novo SNVs vs. chromosomal nondisjunction).

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