Skip to content
Likelier

Perceived fear vs. actual probability

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

Lifetime probability · subgroup

roughly 1 in 285 children diagnosed with cancer before age 20 (US)

0.4% lifetime chance

Most people overestimate this.

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

Health · reviewed 2026-05-16
Evidence quality 4.75/5

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

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence
Source Government statistic · National Cancer Institute, Surveillance, Epidemiology, and End Results (SEER) Program
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 14 1 in 285

● your factors — click this risk ▾ to reveal

  1. Your factors
A simple paper pinwheel in muted blue and cream resting on a windowsill, soft afternoon light

Perceived

Parents consistently rank childhood cancer among their greatest fears, and the perceived probability sits well above the actual rate. The vividness and emotional weight of childhood cancer diagnoses in media coverage — charity drives, viral fundraising stories, celebrity disclosures — create an availability cascade that inflates intuitive estimates dramatically. When researchers ask parents to estimate the likelihood that their child will develop cancer before adulthood, the guesses routinely fall between 5% and 20%, far above the actual cumulative incidence of roughly 1 in 285. The gap is amplified by the severity of the outcome: even a very small probability feels large when the outcome is cancer in a child.

Rough estimate: Most parents would guess somewhere between 1 in 20 and 1 in 5 — roughly 14 to 57 times the actual rate

Source: editorial intuition, not polled

Actual

roughly 216 children diagnosed with cancer per 1,000,000 children per year (US, ages 0–19)

US children aged 0–19

Show derivation

NCI SEER data (2023 Cancer Statistics Review, Childhood Cancer Statistics table) reports approximately 15,780 new cancer cases per year among US children aged 0–19 (average 2016–2020). The US Census Bureau estimated approximately 73 million children under age 20 in that period. Annual incidence rate: 15,780 / 73,000,000 ≈ 216 per million (21.6 per 100,000) per year. Cumulative childhood probability (20 independent annual-trial approximation): P = 1 − (1 − 0.000216)^20 ≈ 0.00430. However, NCI's own published summary statistic "approximately 1 in 285 children will be diagnosed with cancer before age 20" is the authoritative figure (0.003509) — it incorporates age-specific rate variation more precisely than the simple constant-rate approximation. This entry uses 0.00351 as the point estimate, consistent with the NCI published summary. Scope: subgroup_lifetime — probability that a given child receives a cancer diagnosis during their 0–19 childhood, not a US adult's remaining lifetime probability.

Caveats: This entry covers all cancer types (malignant neoplasms) diagnosed before age 20…

This entry covers all cancer types (malignant neoplasms) diagnosed before age 20 in the US. The headline figure "1 in 285" is NCI's published cumulative incidence summary for the childhood period and is the most authoritative single-number characterization of this risk. It does not include benign brain tumors, which are separately tracked and roughly double the total intracranial tumor burden. The 5-year survival rate has improved dramatically from roughly 58% in the mid-1970s to approximately 85% today, meaning that a childhood cancer diagnosis is no longer synonymous with a fatal prognosis for most types. Survival rates vary substantially by cancer type: acute lymphoblastic leukemia (the most common type) now has a 5-year survival exceeding 90%, while diffuse intrinsic pontine glioma (DIPG) remains near-uniformly fatal. The personal factor multipliers for Down syndrome and Li-Fraumeni syndrome apply to very specific genetically defined populations and should not be extrapolated to general familial cancer history without genetic counseling. Racial/ethnic disparities exist in childhood cancer incidence (higher rates in White children for ALL; higher rates of certain tumors in other groups) and in survival outcomes.

Related risks

Other risks on similar themes — for exploring related fears.

kids

Child death (<18)

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

Health

Infant pool submersion

What are the odds of a pool submersion injury serious enough to need emergency care for a child under 4?

Health

Secondhand smoke

What are the odds of dying from secondhand smoke as a non-smoker?

Health

Accidental fall

What are the odds of dying from an accidental fall?

Health

Marrow donation risk

What are the odds of serious complications from donating bone marrow?

Health

Brain aneurysm

What are the odds of dying from a brain aneurysm rupture?

Health

Unsafe imported products

What are the odds of being harmed by an unsafe imported consumer product?

Health

Counterfeit medicine

What are the odds of being harmed or killed by a counterfeit or substandard medicine?

Compare to:

Ward and colleagues’ 2014 analysis in CA: A Cancer Journal for Clinicians, drawing on National Cancer Institute SEER surveillance data, estimates that approximately 15,780 children and adolescents aged 0–19 are diagnosed with cancer each year in the United States — roughly 1 in 285 children before their twentieth birthday. That cumulative incidence figure works out to about 216 per million children per year across the full 0–19 window. Leukemias, brain and other central nervous system tumors, and lymphomas are the most common categories, in that order, followed by a heterogeneous set of solid tumors including neuroblastoma, Wilms tumor, bone tumors, and soft-tissue sarcomas. Most parents, if asked to estimate the probability, give numbers far higher — often between 1 in 20 and 1 in 5 — placing their intuitive guess roughly 15 to 50 times above the actual rate. The gap is not surprising: childhood cancer diagnoses, because they are genuinely rare and emotionally freighted, receive media and fundraising attention wildly disproportionate to their statistical frequency, distorting the availability heuristic that underpins intuitive risk perception.

The survival landscape has been transformed over the past five decades in a way that is itself poorly understood by the public. The overall 5-year survival rate for childhood cancers has risen from roughly 58% in the mid-1970s to approximately 85% today, driven by advances in chemotherapy protocols, targeted agents, immunotherapy, and supportive care. Acute lymphoblastic leukemia — the most common childhood cancer — now carries a 5-year survival exceeding 90% in high-income countries. A childhood cancer diagnosis is a serious and demanding medical experience, but it is no longer, in most cases, a death sentence. This matters for risk perception: parents’ mental model of childhood cancer is often anchored in historical outcomes or in the highest-severity cases that generate the most coverage, compounding the probabilistic overestimate with a severity overestimate. The realistic scenario — roughly 85% of diagnosed children surviving beyond five years — is underweighted in intuitive assessments.

Risk is not uniform across the childhood period or across population subgroups. Incidence peaks in children aged 1–4 (driven by the ALL peak), declines in middle childhood, and rises again in adolescence with lymphomas, bone tumors, and germ cell tumors. Boys carry roughly a 20% higher overall incidence than girls, reflecting male predominance in leukemia and lymphoma. Genetic factors shift individual risk markedly in specific cases: children with Down syndrome face a 10–20-fold elevated risk of leukemia; Li-Fraumeni syndrome families carry substantially elevated risks of sarcomas, brain tumors, and other malignancies in childhood and adolescence. Childhood cancer survivors who received radiation therapy face an approximately 3-fold elevated risk of a second primary malignancy later in life — a risk that is real but borne by a subset of an already-small population. For the overwhelming majority of children without such predisposing conditions, the population-average figure of roughly 1 in 285 is the appropriate planning baseline.

Roughly 1 in 285 US children are diagnosed with cancer before age 20. Parents asked to estimate it routinely guess between 1 in 20 and 1 in 5, tens of times above the actual rate.

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.

1/2 sources independently verified verbatim against the cited source

  1. [1] National Cancer Institute, Surveillance, Epidemiology, and End Results (SEER) Program — Cancer in Children and Adolescents — NCI Fact Sheet Verified
    Cancer in Children and Adolescents — NCI Fact Sheet
    Statistic
    An estimated 14,910 children and adolescents aged 0–19 will be diagnosed with cancer in the US in 2024; 5-year relative survival ~83–88% across childhood age bands (2013–2019)
    Excerpt
    “"It is estimated that, in 2024, a total of 14,910 children and adolescents ages 0 to 19 will be diagnosed with cancer... In 2013–2019, 5-year survival was 83.2% for children younger than 1 year, 87.8% for children ages 1–4 years, 85.7% for children ages 5–9 years, 85.5% for children ages 10–14 years, and 87.3% for adolescents ages 15–19 years." ”
    Source data from
    2024-08-01
    Accessed
    2026-06-30 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Authoritative government source for the annual case count and survival range. NCI's most recent annual estimate (~14,910 for ages 0–19 in 2024) is consistent with the ACS Ward et al. (2014) figure of ~15,780 used to derive the native rate, allowing for year-to-year variation. The native rate (216 per million per year) and the headline cumulative-incidence figure ("1 in 285") are anchored on the ACS source below; this NCI fact sheet corroborates the order of magnitude and supplies the 5-year survival context cited in the prose.
  2. [2] Ward et al., CA: A Cancer Journal for Clinicians (American Cancer Society) — Childhood and adolescent cancer statistics, 2014
    Childhood and adolescent cancer statistics, 2014
    Statistic
    An estimated 15,780 new cancer cases and 1,960 deaths among US children/adolescents aged 0–19 in 2014; ~1 in 285 children diagnosed before age 20; annual incidence 186.6 per 1 million (ages 0–19)
    Excerpt
    “"In 2014, an estimated 15,780 new cases of cancer will be diagnosed and 1960 deaths will occur among children and adolescents aged birth to 19 years... Approximately 1 in 285 children will be diagnosed with cancer before age 20 years. The annual incidence rate of cancer in children and adolescents is 186.6 per 1 million children aged birth to 19 years." ”
    Source data from
    2014-01-31
    Accessed
    2026-06-30 · archived copy
    Calculation
    Authoritative peer-reviewed origin of this entry's two headline figures: the ~15,780 annual case count for ages 0–19 and the "1 in 285" cumulative childhood-incidence summary. DOI 10.3322/caac.21219, PMID 24488779. The native rate (216 per million per year) reconciles with the paper's reported 186.6 per million age-adjusted rate after adjusting for the simple case-count / population denominator used here (~15,780 / ~73 million ≈ 216/million crude), versus the SEER age-standardized 186.6/million. The "1 in 285" figure (= 0.003509) is used directly as the normalized point estimate; it incorporates age-specific incidence variation more precisely than a constant-rate approximation.

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

Recently viewed on this device