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Health · reviewed 2026-04-18

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

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

Lifetime probability · lifetime, US adult

1 in 40

2.5% lifetime chance

Most people overestimate this.

range 1 in 67 to 1 in 25

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

≈ As likely as

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

Uses the CDC estimate of ~500,000 US children aged 1-5 with BLL ≥3.5 µg/dL out of ~20 million in that age cohort (~2.5%). 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 — CDC surveillance reports fewer than ~500 children per year reaching that threshold from all sources combined. 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.

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
Modern plumbing (post-1986, no lead service line) 1 in 1,000 Homes built after 1986 (when Congress banned lead solder in plumbing) with copper or PEX service lines contribute negligible lead to tap water. BLL elevation from water in these homes is effectively zero. Residual probability reflects brass fixtures containing trace lead, which leaches at very low levels.
Pre-1986 solder, no lead service line 1 in 100 Lead solder in joints of copper pipes can leach 5-15 ppb in first-draw water after overnight stagnation. Contribution to childhood BLL is modest (~0.5-1 µg/dL) but measurable. Flushing the tap for 30 seconds before use reduces exposure by 50-90%.
Confirmed lead service line 1 in 20 Lead service lines can produce first-draw concentrations of 10-50 ppb and contribute 1-3 µg/dL to a child's BLL. Roughly 22 million Americans are served by the ~9.2 million lead service lines in the EPA inventory. The LCRI mandates full replacement by 2034.
Corrosion-control failure (Flint-type event) 1 in 6.7 When corrosion control fails catastrophically — as in Flint (2014-2015), where water chemistry changes stripped protective pipe scale — lead levels can exceed 1,000 ppb and BLL in children can spike above 10 µg/dL. These events are rare (a handful documented in US history) but produce genuine clinical harm.

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Compare to:

About 500,000 US children aged 1-5 have blood lead levels at or above the CDC’s 3.5 µg/dL reference value — roughly 1 in 40. 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 9.2 million lead service lines remain in US water systems, 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 roughly 85% of US homes with post-1986 plumbing and no lead service line, tap water contributes essentially nothing to lead exposure. For the 7-8% of households served by 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 a $25 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.

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] Centers for Disease Control and Prevention — Blood Lead Levels in Children — CDC Lead Prevention
    Blood Lead Levels in Children — CDC Lead Prevention
    Statistic
    ~500,000 US children aged 1-5 had BLL ≥3.5 µg/dL based on NHANES and state surveillance data; reference value lowered from 5 to 3.5 µg/dL in October 2021
    Excerpt
    “"CDC uses a blood lead reference value (BLRV) of 3.5 micrograms per deciliter (µg/dL) to identify children with blood lead levels that are higher than most children's levels. This value is based on the 97.5th percentile of the blood lead distribution in US children ages 1-5 years from NHANES data. CDC estimates that approximately 500,000 US children ages 1-5 have blood lead levels at or above the reference value." ”
    Source data from
    2024-11-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    CDC lowered the blood lead reference value from 5 µg/dL to 3.5 µg/dL in October 2021, approximately doubling the number of children classified as having "elevated" levels. The 500,000 figure is a combined estimate from NHANES 2015-2018 population-weighted data and state childhood lead surveillance reports. Of ~20 million children aged 1-5, this yields ~2.5% prevalence. This captures all lead sources (paint, dust, soil, water, consumer products). 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 — Lead and Copper Rule Improvements (LCRI) — Final Rule
    Lead and Copper Rule Improvements (LCRI) — Final Rule
    Statistic
    EPA estimates ~9.2 million lead service lines remain in the US; the 2024 LCRI requires full replacement within 10 years
    Excerpt
    “"EPA estimates there are approximately 9.2 million lead service lines in the United States. The Lead and Copper Rule Improvements require water systems to replace all lead service lines within 10 years. The rule lowers the lead action level from 15 ppb to 10 ppb and strengthens tap-water testing requirements." ”
    Source data from
    2024-10-08
    Accessed
    2026-04-18
    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. EPA's 9.2 million LSL estimate comes from the 2024 national inventory mandate (systems were required to submit inventories by October 2024). Roughly 22 million Americans are served by these lines. At 15 ppb action level (now lowered to 10 ppb), the LCR required action only when >10% of tap samples exceeded the threshold. The LCRI 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.

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 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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