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Health · reviewed 2026-05-04

What are the odds of having undiagnosed high cholesterol without regular blood tests?

Evidence quality 4.38/5

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

D1 Source grounding
3/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.38/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 2.9

35% lifetime chance

Most people underestimate this.

range 1 in 4.0 to 1 in 2.0

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 1.0 1 in 29

● your factors — click this risk ▾ to reveal

≈ As likely as

A single blood collection tube standing beside a small unmarked calendar, flat vector illustration on pale background.

Perceived

Most people assume they would notice if something were seriously wrong with their health. High cholesterol produces no pain, no shortness of breath, and no visible symptoms, yet it is frequently ranked low among personal health worries unless a doctor has specifically flagged it. When asked to estimate the likelihood of silently elevated lipids, most adults with no diagnosis assume they are fine. The intuition is that a young-to-middle-aged person in reasonable apparent health cannot have a cholesterol problem, and that regular doctors' visits would catch it anyway. Neither assumption is well supported by the data.

Rough estimate: ~5% chance of having undiagnosed high cholesterol at any given time

Source: editorial intuition, not polled

Actual

~3 in 100 US adults have undiagnosed clinically elevated LDL cholesterol at any given time (NHANES 2017-2020)

US adults age 20+

Show derivation

The native figure (approx. 3 in 100 US adults undiagnosed with elevated LDL at any moment) is a point-in-time cross-sectional prevalence, not a lifetime probability. To estimate the lifetime probability of ever having an undiagnosed period of high cholesterol, two independent estimates are combined. First, the Framingham Offspring Study found that over a 30-year window, roughly 4 in 10 participants developed high LDL (>=160 mg/dL), and adjusted 30-year risks exceeded 50% for any dyslipidemia. Second, NHANES trend data show that approximately 27-28% of US adults have not had their cholesterol checked within the past 5 years at any given time. A US adult with a normal lifespan (ages 18-77, approximately 59 years of adult life) who does not screen regularly will spend meaningful stretches without a current lipid panel. Combining the ~40% lifetime incidence of high LDL with the probability that any given high-cholesterol episode goes undetected for at least several years given typical US screening behavior produces a central estimate of approximately 35% lifetime probability of having a period of undiagnosed high cholesterol. The 95% uncertainty range of 25-50% reflects variability in screening adherence (which has improved but remains incomplete), the declining but still substantial prevalence of high total cholesterol (from 18.3% in 1999-2000 to 11.3% in 2021-2023 per NCHS Data Brief 515), and demographic variation: undiagnosed rates are substantially higher among uninsured adults (63.8%), young men (83.1% of 18-29-year-old males with elevated LDL are unaware and untreated), and Hispanic and non-Hispanic Black adults. The estimate is conservative in that it counts only clinically elevated cholesterol (total >=240 mg/dL or LDL >=160 mg/dL), not the borderline-high range where cumulative incidence is even larger.

Caveats: This entry covers the probability of having undiagnosed high cholesterol defined…

This entry covers the probability of having undiagnosed high cholesterol defined as total cholesterol >=240 mg/dL or LDL >=160 mg/dL, the clinical thresholds most commonly used in US guidelines and NHANES reporting. Borderline-high cholesterol (total 200-239 mg/dL or LDL 130-159 mg/dL) affects a substantially larger share of the population, and many adults in those ranges are also unaware of their status, but they are not captured in the native statistic. The lifetime estimate is the probability of ever having a period during which cholesterol was clinically elevated and no current test result documented that elevation. It is not the probability of dying from cholesterol-related disease. High cholesterol is one risk factor among many for cardiovascular disease, and its impact varies substantially with smoking status, blood pressure, diabetes, and physical activity. Statin therapy has improved treatment rates over the past two decades, and total cholesterol prevalence has fallen, but the awareness gap among young adults and underserved populations remains large. The USPSTF recommends screening for lipid disorders in adults at increased cardiovascular risk, but there is no universal annual cholesterol screening recommendation in the US, meaning detection gaps can persist for years between tests.

Risks at similar odds

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Compare to:

High cholesterol earns its reputation as a silent condition. Total cholesterol above 240 mg/dL produces no headaches, no fatigue, and no visible signs. According to NCHS Data Brief No. 515, 11.3% of US adults had high total cholesterol during the 2021-2023 NHANES cycles, a figure that declined steadily from 18.3% in 1999-2000 as statin use increased but has plateaued since 2013-2014. The silence creates a detection problem: a person cannot feel their LDL, and absent a blood test there is no mechanism for awareness. The result is a persistent gap that NHANES data can measure but that individuals rarely contemplate for themselves.

The scale of that gap is documented in careful detail. Virani et al. (2023, JAMA Cardiology), analyzing ten consecutive NHANES cycles from 1999 to 2020, found that 42.7% of adults with LDL between 160 and 189 mg/dL were both unaware of their condition and untreated. Among those with LDL at 190 mg/dL or above, the figure was 26.8%, roughly 1 in 4. Combining these groups yields approximately 3 in 100 US adults carrying clinically elevated LDL at any given time without knowing it. The burden falls unevenly: among adults aged 18-29 with elevated LDL, an estimated 83% are unaware and untreated. Among those without health insurance, the rate exceeds 63%. The common assumption that routine doctors’ visits reliably catch this problem does not survive contact with the data.

The lifetime picture is considerably larger than the point-in-time snapshot. The Framingham Offspring Study, following 4,701 participants over up to 30 years, found that roughly 4 in 10 developed high LDL (>=160 mg/dL) over that window, with more than 6 in 10 developing any borderline-high lipid abnormality. Given that approximately 27-28% of US adults have not had a lipid panel in the past five years at any given time, many who develop elevated cholesterol will spend at least several years in that state before detection. The lifetime probability of ever having an undiagnosed period of high cholesterol — cholesterol above the clinical threshold with no current test documenting it — is estimated here at approximately 35% for the average US adult, with a plausible range of 25-50% depending on screening behavior and risk profile. That makes silent high cholesterol one of the more common undetected health conditions in the country, not a rare edge case confined to the medically disconnected.

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] National Center for Health Statistics (CDC) — Total and High-density Lipoprotein Cholesterol in Adults: United States, August 2021-August 2023
    Total and High-density Lipoprotein Cholesterol in Adults: United States, August 2021-August 2023
    Statistic
    11.3% of US adults age 20+ had high total cholesterol (>=240 mg/dL) during August 2021-August 2023
    Excerpt
    “"During August 2021-August 2023, 11.3% of adults age 20 and older had high total cholesterol." ”
    Source data from
    2024-11-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    NCHS Data Brief No. 515 reports prevalence of high total cholesterol (>=240 mg/dL) in US adults from NHANES cycles covering August 2021 through August 2023. The overall prevalence was 11.3% (age-adjusted: 11.2%), highest in the 40-59 age group (16.7%) and similar between men (10.6%) and women (11.9%). This is the denominator anchor: roughly 11 in 100 US adults have total cholesterol at or above the clinical threshold at any given moment. Combined with estimates from Virani et al. (2023) that approximately 27-43% of those with clinically elevated LDL are unaware and untreated, this yields the native numerator of approximately 3 in 100 adults undiagnosed at any given time. Historical context: prevalence declined from 18.3% in 1999-2000 to 11.0% in 2013-2014 and has not changed significantly since, suggesting a floor below which current interventions are not pushing prevalence further.
  2. [2] JAMA Cardiology — Virani et al. — Prevalence, Awareness, and Treatment of Elevated LDL Cholesterol in US Adults, 1999-2020
    Prevalence, Awareness, and Treatment of Elevated LDL Cholesterol in US Adults, 1999-2020
    Statistic
    42.7% of US adults with LDL 160-189 mg/dL and 26.8% with LDL >=190 mg/dL were unaware and untreated in 2017-2020
    Excerpt
    “"Among those with an LDL-C of 190 mg/dL or greater, 1 in 4 are unaware and untreated, with higher proportions unaware and untreated in the 160 to 189 mg/dL range." ”
    Source data from
    2023-11-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    Virani et al. analyzed 10 consecutive NHANES cycles (1999-2000 through 2017-2020), including 23,667 participants age 20 and older. In the most recent cycle (2017-2020), 6.1% of US adults had LDL 160-189 mg/dL and 2.1% had LDL >=190 mg/dL. Of the 6.1% with LDL 160-189 mg/dL, 42.7% (95% CI, 33.6%-52.3%; representing 6.1 million adults) were both unaware and untreated. Of the 2.1% with LDL >=190 mg/dL, 26.8% (representing 1.4 million adults) were unaware and untreated. Combined, approximately 3.2% of all US adults have clinically elevated LDL and are undiagnosed and untreated at any given time, consistent with the native numerator of 3 in 100. Demographic disparities are large: undiagnosed rates among 18-29-year-olds with elevated LDL were 83.1%; among uninsured adults, 63.8%; among Hispanic adults, 61.6%. The Framingham Offspring Study (Lloyd-Jones et al., 2007) separately estimated 30-year risk of developing high LDL at approximately 40%, which, combined with typical US screening gaps (~28% unscreened in any 5-year window), supports the normalized lifetime estimate of 35%.
  3. [3] The American Journal of Medicine — Lloyd-Jones et al. — Lifetime Risk for Developing Dyslipidemia: The Framingham Offspring Study
    Lifetime Risk for Developing Dyslipidemia: The Framingham Offspring Study
    Statistic
    30-year risk of developing high LDL (>=160 mg/dL) was approximately 40%; borderline-high LDL (>=130 mg/dL) risk exceeded 60% over 30 years
    Excerpt
    “"Over a 30-year period, approximately 6 of 10 participants developed borderline-high LDL cholesterol, and 4 of 10 developed high LDL cholesterol." ”
    Source data from
    2007-07-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    Lloyd-Jones et al. estimated 10- to 30-year risks of developing dyslipidemia in 4,701 Framingham Offspring Study participants across age groups 30-34, 40-44, and 50-54. The 30-year risk of developing high LDL (>=160 mg/dL) was approximately 40% across age groups, with borderline-high LDL (>=130 mg/dL) exceeding 60%. When adjusted for baseline prevalence, cumulative lifetime risks were higher still. This study provides the foundation for estimating lifetime incidence of high cholesterol, showing that the cross-sectional prevalence of ~11% at any moment substantially understates the proportion of adults who will ever experience elevated cholesterol during their lives. Used in normalized.assumptions to bridge from point-in-time prevalence to lifetime probability: with ~40% of adults eventually developing high LDL, and ~28% unscreened at any given time, a substantial fraction will have at least one undiagnosed episode.

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