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Perceived fear vs. actual probability

What are the odds of lead poisoning from your home tap water?

Lifetime probability

~1 in 40

(childhood elevated BLL from all sources)

2.5% lifetime chance

Most people overestimate this.

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

Health · reviewed 2026-04-18
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
5/5
D4 Uncertainty
5/5
D5 Scope
2/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence
Source Government statistic · Centers for Disease Control and Prevention
lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 8.0 1 in 800

● your factors — click this risk ▾ to reveal

  1. Your factors
A kitchen faucet dripping into a glass, with faint pipe cross-sections visible in the background, flat vector illustration.

Perceived

Lead in drinking water became a national fixation after the Flint, Michigan crisis in 2014-2015, when corrosion-control failures sent lead levels to over 13,000 ppb in some homes — hundreds of times above EPA's 15 ppb action level. Coverage was justified: children were harmed, officials were indicted, and the phrase "lead service line" entered the public vocabulary. Post-Flint polling (Gallup 2016-2024) consistently finds that roughly 60% of US adults express concern about lead or heavy metals in their tap water, and environmental-advocacy messaging reinforces the impression that 9.2 million lead service lines make this a universal danger. The intuitive risk estimate for many consumers — especially parents — is that lead in tap water is both common and seriously harmful at typical municipal supply levels.

Rough estimate: 41% of US adults rank heavy metals in food among their top-3 food safety concerns

Source: International Food Information Council (IFIC) (2025) — IFIC 2025 Food & Health Survey — 41% rank heavy metals in food as a top-3 concern; lead in tap water is the most prominent heavy-metal pathway post-Flint

Actual

~2.5% of US children aged 1-5 had BLL ≥3.5 µg/dL (2021 CDC reference value)

US children aged 1-5 years, blood lead level ≥3.5 µg/dL (CDC 2021 lowered reference value)

Show derivation

The 2.5% is definitional: CDC sets the blood lead reference value of 3.5 µg/dL at the 97.5th percentile of the blood lead distribution among US children aged 1-5 (NHANES 2015-2016 + 2017-2018), so by construction ~2.5% of that age cohort are at or above it. This is prevalence of elevated blood lead from ALL sources — paint, dust, soil, water, and consumer products — not water alone. Water contributes an estimated 20% of total lead exposure in homes with lead service lines or pre-1986 solder (EPA 2006 cost-benefit analysis for LCR). For homes with modern plumbing, water's contribution is negligible. Clinical lead poisoning (BLL ≥45 µg/dL) from water alone is extremely rare in modern municipal systems. The normalized figure represents the probability that a US child will have an elevated BLL at some point during ages 1-5, which is the peak exposure window. For adults, the BLL reference value of 3.5 µg/dL is less meaningful — adult reference ranges are higher and clinical toxicity starts at higher thresholds. The lifetime figure of 0.025 reflects childhood prevalence, which is the epidemiologically load-bearing number for tap-water lead concerns.

Caveats: The normalized figure (2.5% prevalence of BLL ≥3.5 µg/dL among US children 1-5) …

The normalized figure (2.5% prevalence of BLL ≥3.5 µg/dL among US children 1-5) captures ALL lead sources, not water alone. Lead paint and paint dust remain the dominant exposure pathway, responsible for an estimated 70% of elevated BLLs in pre-1978 housing. Water's contribution ranges from negligible (modern plumbing) to significant (lead service line) to dominant (corrosion-control failure). Clinical lead poisoning (BLL ≥45 µg/dL) attributable to tap water alone is vanishingly rare outside catastrophic infrastructure events. The subclinical effects (IQ loss of 1-2 points per µg/dL BLL) are real and have no safe threshold, but the individual increment from tap water in most US homes is small. The entry's myth_framing of "overrated" refers to the perception that typical municipal tap water poses a clinical poisoning risk — not to the genuine concern for homes with confirmed lead service lines or the subclinical neurodevelopmental effects that accumulate at population scale. See also the [PFAS in tap water](/pfas-tap-water) entry for a distinct contaminant with a different evidence profile.

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Compare to:

CDC sets its blood lead reference value at the 97.5th percentile of the blood lead distribution among US children aged 1-5, which puts 3.5 µg/dL at that percentile — so by construction about 1 in 40 children in that age band sit at or above it. That number captures all lead sources: paint dust in pre-1978 housing, contaminated soil, consumer products, and tap water. Water’s share varies from near zero in homes with modern plumbing to the dominant pathway during infrastructure failures like Flint. The EPA estimates that up to 9 million homes are served through legacy lead pipes (its separate national service-line inventory puts the count near 9.2 million lines, serving roughly 22 million people), and the 2024 Lead and Copper Rule Improvements mandate their full replacement within ten years.

The perception gap runs in an unusual direction. Post-Flint media coverage left many consumers believing that lead in tap water is a widespread acute-poisoning risk for anyone on municipal supply. For the large majority of US homes with modern plumbing and no lead service line, tap water contributes essentially nothing to lead exposure. For the roughly 22 million Americans served by one of the EPA’s estimated 9.2 million lead service lines, first-draw water after overnight stagnation may add 1-3 µg/dL to a child’s blood lead level — a real subclinical increment associated with measurable IQ loss (the NTP monograph found sufficient evidence of effects below 5 µg/dL), but not the acute poisoning scenario most people picture. Clinical lead poisoning with symptoms — abdominal pain, encephalopathy, BLL above 45 µg/dL — from tap water alone is limited to catastrophic corrosion-control failures, of which Flint remains the most prominent US example.

The heterogeneity is the story. A family in a 2010-built home on a well-maintained municipal system faces a tap-water lead risk that rounds to zero. A family in a 1920s home with a confirmed lead service line, in a system that has not yet implemented the LCRI replacement mandate, faces a meaningful subclinical exposure — reducible by 90% or more with an NSF-certified pitcher filter or 30 seconds of flushing before use. Those two households live in the same country but in different risk universes, and any single national number flattens that distinction into uselessness.

About ~1 in 40 US children aged 1-5 have an elevated blood lead level, and that counts every source: paint, soil, dust, and water. Tap water is usually a small slice of the total, so the share traceable to a home faucet is lower still.

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.

1/4 sources independently verified verbatim against the cited source

  1. [1] Centers for Disease Control and Prevention — Blood Lead Levels in Children — CDC Lead Prevention
    Blood Lead Levels in Children — CDC Lead Prevention
    Statistic
    CDC's blood lead reference value of 3.5 µg/dL is the 97.5th percentile of the blood lead distribution in US children ages 1-5 (NHANES 2015-2016 + 2017-2018), so ~2.5% of that cohort are at or above it by definition
    Excerpt
    “"CDC analyzed NHANES data of the blood lead values among U.S. children ages 1-5 years from 2015-2016 and 2017-2018 NHANES cycles to determine the 97.5th percentile of blood lead distribution in children. This helped to determine the reference value at 3.5 µg/dL.... The childhood BLL data on CDC's website are not a population-based estimate." ”
    Source data from
    2024-08-14
    Accessed
    2026-04-18 · archived copy
    Calculation
    The 2.5% headline is definitional, not a division: CDC sets the blood lead reference value at the 97.5th percentile of the blood lead distribution among US children 1-5 (NHANES 2015-2016 + 2017-2018 cycles), which places 3.5 µg/dL at that percentile — so ~2.5% of children in that age cohort are at or above it by construction. (An older CDC estimate put roughly 500,000 children above the reference value out of ~20 million aged 1-5, ~2.5%, but this page does not carry that count and explicitly notes its surveillance data "are not a population-based estimate"; the definitional 97.5th-percentile framing is used instead.) This prevalence captures all lead sources (paint, dust, soil, water, consumer products), not water alone. Tap water's contribution varies enormously by housing stock and service-line material — EPA's 2006 economic analysis for the Lead and Copper Rule estimated water contributes ~20% of total lead intake for children in homes with lead plumbing, and near zero for homes with modern copper or PEX plumbing.
  2. [2] US Environmental Protection Agency — EPA Issues Final Rule Requiring Replacement of Lead Pipes Within 10 Years (Lead and Copper Rule Improvements) Verified
    EPA Issues Final Rule Requiring Replacement of Lead Pipes Within 10 Years (Lead and Copper Rule Improvements)
    Statistic
    EPA estimates up to 9 million homes are served by legacy lead pipes; the 2024 LCRI requires water systems to identify and replace lead pipes within 10 years and lowers the action level to 10 ppb
    Excerpt
    “"EPA estimates that up to 9 million homes are served through legacy lead pipes across the country... issued a final rule requiring drinking water systems across the country to identify and replace lead pipes within 10 years. The Lead and Copper Rule Improvements (LCRI) also require more rigorous testing of drinking water and a lower threshold requiring communities to take action to protect people from lead exposure in water." ”
    Source data from
    2024-10-08
    Accessed
    2026-04-18 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    The LCRI (89 FR 86018) finalizes mandatory lead-service-line replacement on a 10-year timeline, replacing the 1991 Lead and Copper Rule's partial-replacement regime. The cited EPA press release states EPA estimates "up to 9 million homes are served through legacy lead pipes"; EPA's parallel national lead-service-line inventory (systems were required to submit inventories by October 2024) puts the count at roughly 9.2 million service lines, serving roughly 22 million Americans. The prior LCR action level of 15 ppb required action only when >10% of tap samples exceeded the threshold; the LCRI lowers the action level to 10 ppb and shifts to proactive full replacement regardless of sampling results, reflecting the consensus that no lead level in water is safe for children.
  3. [3] Agency for Toxic Substances and Disease Registry (ATSDR), CDC — Toxicological Profile for Lead
    Toxicological Profile for Lead
    Statistic
    No safe blood lead level has been identified; neurodevelopmental effects (IQ loss, attention deficits) begin below 5 µg/dL; clinical poisoning symptoms at BLL ≥45 µg/dL
    Excerpt
    “"There is no identified threshold for the adverse effects of lead in children. Effects on IQ and academic achievement have been demonstrated at blood lead levels below 5 µg/dL. Clinical signs of lead poisoning — abdominal pain, constipation, encephalopathy — generally occur at blood lead levels above 45 µg/dL in children and 70 µg/dL in adults." ”
    Source data from
    2020-08-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    The ATSDR profile synthesizes dose-response data from prospective cohort studies (Lanphear et al. 2005 pooled analysis, Rochester longitudinal study, Cincinnati Lead Study) establishing that each 1 µg/dL increase in BLL below 10 µg/dL is associated with a 1-2 point IQ decrement — a steeper dose-response slope at low levels than at high levels. The NTP 2012 monograph reached the same conclusion. Clinical lead poisoning (BLL ≥45 µg/dL) from drinking water alone is effectively limited to catastrophic infrastructure failures like Flint. In typical homes with lead service lines, first-draw water after overnight stagnation may reach 10-50 ppb, contributing perhaps 1-3 µg/dL to a child's BLL — a subclinical increment, not acute poisoning.
  4. [4] National Toxicology Program, NIEHS — NTP Monograph on Health Effects of Low-Level Lead
    NTP Monograph on Health Effects of Low-Level Lead
    Statistic
    Sufficient evidence that BLL <5 µg/dL is associated with reduced IQ, reduced academic achievement in children, and increased incidence of attention-related behavioral problems
    Excerpt
    “"NTP concludes that there is sufficient evidence that blood lead levels less than 5 µg/dL are associated with adverse health effects in children, including decreased academic achievement, decreased IQ, and increased incidence of attention-related behavioral problems, and increased incidence of delayed puberty." ”
    Source data from
    2012-06-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    The NTP monograph was the pivotal document that led CDC to abandon the "level of concern" framework (previously 10 µg/dL) in favor of a reference value approach acknowledging no safe threshold. The monograph reviewed 17 prospective studies and 43 cross-sectional studies on IQ and lead. The sufficient-evidence classification for effects below 5 µg/dL established the scientific consensus that even modest lead exposure from any source — including tap water in homes with lead plumbing — carries measurable neurodevelopmental cost, even if the individual increment from water is small relative to paint and dust.

434 risks with measured probability
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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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