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Health · reviewed 2026-05-04

What are the odds of having undiagnosed type 2 diabetes or prediabetes without blood glucose monitoring?

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 3.0

33% lifetime chance

Most people underestimate this.

range 1 in 4.0 to 1 in 2.2

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 7.6

● your factors — click this risk ▾ to reveal

≈ As likely as

A faint unmarked line on a plain graph, barely visible against a muted background, flat vector illustration.

Perceived

Most people assume that diabetes is something you would notice — blurred vision, excessive thirst, fatigue severe enough to prompt a doctor visit. The intuition is that the disease announces itself before it does serious damage. When asked to guess how many Americans have undetected diabetes right now, the typical answer is "maybe a few percent." The idea that roughly 1 in 3 adults could be walking around with undetected prediabetes or diabetes at any given moment sits well outside the range most people would guess, partly because the early and middle stages of metabolic dysfunction can be entirely symptom-free for years.

Rough estimate: ~5-10% chance of having undetected blood sugar problems

Source: editorial intuition, not polled

Actual

4.5% of US adults have undiagnosed diabetes (NCHS, 2021-2023)

US adults aged 18+

Show derivation

Two quantities are combined here. The first is the lifetime risk of developing type 2 diabetes for a US adult: a PLOS One 2022 analysis of National Health Interview Survey data (1997-2018) found lifetime risk for a 20-year-old was 31.7% in 1997-1999, peaked at 40.7% in 2005-2009, and returned to 32.8% (95% CI: 32.4-33.2%) in 2015-2018, consistent with Narayan et al.'s 2003 JAMA finding of 32.8% for males and 38.5% for females born in 2000. The headline 0.33 uses the most recent PLOS One estimate for a 20-year-old in 2015-2018 as the primary anchor. The second quantity is the probability of being in an undiagnosed state during the course of that disease: NCHS data for August 2021-August 2023 shows 27.6% of US adults with diabetes were undiagnosed at any given time, and the average preclinical phase of type 2 diabetes (the period of elevated glucose before clinical diagnosis) is estimated at 7-12 years in the literature. Because almost everyone who develops T2D passes through this silent phase, the lifetime probability of being in the "undiagnosed" state at some point is essentially the same as the lifetime probability of developing T2D at all. Separately, 115.2 million US adults have prediabetes, of whom 8 in 10 do not know it (CDC, 2026), meaning roughly 92 million adults currently have undetected prediabetes alone — a point prevalence near 35% of the adult population. The normalized 0.33 reflects the lifetime T2D development risk as the primary anchor. Uncertainty band of 0.25-0.45 covers the demographic spread (Hispanic adults face ~45-53% lifetime risk per Narayan et al.; non-Hispanic white adults face ~27-31%) and the upward and downward trend uncertainty since 2018.

Caveats: Two distinct risks are presented together here and should not be conflated. Undi…

Two distinct risks are presented together here and should not be conflated. Undiagnosed type 2 diabetes (4.5% of adults currently) and unaware prediabetes (roughly 35% of adults currently) are different physiological states with different urgency. Prediabetes is reversible with lifestyle intervention; established T2D is chronic and progressive. The normalized lifetime figure of 0.33 represents the probability of developing T2D at any point in life, not the probability of being currently undiagnosed. The "8 in 10 prediabetes unaware" statistic reflects a point-in-time awareness deficit, not a lifetime outcome. The lifetime risk figure from PLOS One (2022) covers diagnosed diabetes including type 1, but type 1 accounts for only about 5-10% of all diabetes cases; the T2D-specific lifetime risk is slightly lower but in the same range. Risk varies substantially by ethnicity, obesity status, physical activity level, and access to preventive care. These figures apply to US adults; global estimates differ significantly by country.

Risks at similar odds

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Compare to:

As of the most recent National Center for Health Statistics data (August 2021 through August 2023), 4.5% of US adults have undiagnosed diabetes — they meet the clinical criteria for diabetes based on blood glucose measurements but have never received a diagnosis. That figure represents roughly 11.7 million people living with a chronic metabolic disease they are unaware of. The broader picture is more striking: 115.2 million Americans have prediabetes, and 8 in 10 of them do not know it, according to CDC figures current as of January 2026. Combining both groups, somewhere between one-third and two-fifths of US adults are currently in a state of elevated blood glucose that they have not been told about. The reason is not mysterious: early and mid-stage type 2 diabetes and prediabetes produce no symptoms that would motivate most people to seek testing. Thirst, frequent urination, and fatigue — the classic warning signs — typically appear only when blood glucose has been substantially elevated for months or years.

The lifetime picture puts the individual risk in sharper focus. A PLOS One analysis published in 2022 used National Health Interview Survey data from 1997 to 2018 to calculate that lifetime risk of developing diabetes for a 20-year-old US adult stood at 32.8% (95% CI: 32.4-33.2%) in the 2015-2018 period — essentially unchanged from Narayan et al.’s landmark 2003 JAMA study, which found 32.8% for men and 38.5% for women born in 2000. The lifetime risk peaked at 40.7% during the obesity epidemic’s high-water mark of 2005-2009 before declining. The risk is not uniformly distributed: NCHS data show total diabetes prevalence of 27.3% in adults over 60 compared to just 3.6% in adults under 40, and men have a higher prevalence than women (18.0% vs 13.7%). Hispanic adults face lifetime risks of roughly 45-53% depending on sex. Because virtually everyone who develops type 2 diabetes passes through a preclinical phase lasting an estimated 7 to 12 years — a period in which organ damage is accumulating silently — the lifetime probability of being in the “undetected” state at some point is essentially the same as the lifetime probability of developing the disease at all.

What makes this particularly consequential is the asymmetry between detection cost and disease cost. A fasting glucose test costs roughly the same as a routine blood draw. Undetected T2D is associated with accelerating cardiovascular disease, early-stage retinopathy, nephropathy, and neuropathy, all of which proceed in the absence of symptoms. The NCHS data break out one directionally important number: among adults with obesity, total diabetes prevalence reaches 24.2%, compared to 6.8% among adults at normal weight — a 3.5-fold difference. This means the fraction of obese adults who have undiagnosed diabetes at any given time (roughly 24.2% × 28.5% undiagnosed fraction ≈ 6.9%) is not trivially small. The framing here is not that everyone should panic; it is that the “I would know if something were wrong” assumption has a specific empirical failure rate, and for metabolic disease that rate is high enough to matter.

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), NCHS Data Briefs No. 516 — Prevalence of Total, Diagnosed, and Undiagnosed Diabetes in Adults: United States, August 2021–August 2023
    Prevalence of Total, Diagnosed, and Undiagnosed Diabetes in Adults: United States, August 2021–August 2023
    Statistic
    Total diabetes 15.8%, diagnosed 11.3%, undiagnosed 4.5% of US adults; 27.6% of adults with diabetes are undiagnosed
    Excerpt
    “"During August 2021–August 2023, the prevalence of total diabetes was 15.8%, diagnosed diabetes was 11.3%, and undiagnosed diabetes was 4.5%. [...] Consequently, slightly more than one-quarter of adults with diabetes had undiagnosed diabetes." ”
    Source data from
    2024-11-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    Undiagnosed diabetes prevalence of 4.5% directly gives the native figure: 4.5 per 100 US adults, or 45 per 1,000. The 27.6% undiagnosed fraction (of those with diabetes) is used in the normalized assumptions to estimate how long a typical person with T2D remains in the silent phase. US adults aged 18+ number approximately 260 million, so 4.5% corresponds to roughly 11.7 million people currently living with undiagnosed diabetes in the US. The total diabetes prevalence of 15.8% is the anchor for the denominator: undiagnosed / total = 4.5% / 15.8% = 28.5%, consistent with the stated 27.6% fraction.
  2. [2] PLOS One — Trends in lifetime risk and years of potential life lost from diabetes in the United States, 1997–2018
    Trends in lifetime risk and years of potential life lost from diabetes in the United States, 1997–2018
    Statistic
    Lifetime risk of diabetes for a 20-year-old US adult: 31.7% (1997-1999), peaked at 40.7% (2005-2009), returned to 32.8% (2015-2018)
    Excerpt
    “"LR for adults at age 20 increased from 31.7% (95% CI: 31.2–32.1%) in 1997–1999 to 40.7% (40.2–41.1%) in 2005–2009, then decreased to 32.8% (32.4–33.2%) in 2015–2018." ”
    Source data from
    2022-06-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    The 2015-2018 estimate of 32.8% lifetime risk for a 20-year-old US adult is used as the primary anchor for normalized.lifetime_us_adult. This figure is essentially unchanged from the Narayan et al. 2003 JAMA estimate of 32.8% for males born in 2000 (females 38.5%), despite the intervening two decades of prevalence fluctuation, and the 95% CI of 32.4-33.2% is narrow enough to be useful as a point estimate. The decline from the 2005-2009 peak (40.7%) is attributed in the paper to improvements in diabetes prevention and treatment and reductions in obesity-trend growth rates during this period. This source is the normalization anchor: lifetime_us_adult 0.33 sits at the lower end of the CI for the most recent period, reflecting the most conservative recent estimate and the fact that the question is framed around "currently unmonitored adults" rather than the total population including those already diagnosed and under treatment.
  3. [3] Centers for Disease Control and Prevention — Prediabetes: Could It Be You?
    Prediabetes: Could It Be You?
    Statistic
    115.2 million Americans have prediabetes; 8 in 10 adults with prediabetes don't know they have it
    Excerpt
    “"115.2 million Americans have prediabetes, but 8 in 10 adults with prediabetes don't know they have it." ”
    Source data from
    2026-01-21
    Accessed
    2026-05-03 · archived copy
    Calculation
    115.2 million adults with prediabetes, 80% unaware, gives approximately 92 million adults with currently undetected prediabetes. US adults number approximately 260 million, so 92M / 260M = ~35% point prevalence of unaware prediabetes. Adding the 4.5% with undiagnosed diabetes gives approximately 38-40% of US adults currently in a state of undetected elevated blood glucose (either undiagnosed diabetes or unaware prediabetes). This source is used in the prose and caveats to establish the combined prediabetes-plus-diabetes picture; the native figure uses only the more specific undiagnosed-diabetes prevalence from the NCHS government report.

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