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Food · reviewed 2026-04-26

What are the odds of vitamin D deficiency if you don't take supplements?

Evidence quality 4.63/5

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

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
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 2.9

35% lifetime chance

Most people underestimate this.

range 1 in 4.5 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 2.9

● your factors — click this risk ▾ to reveal

≈ As likely as

A single ray of sunlight passing through a window onto a bare forearm, flat vector illustration in muted gold and grey tones.

Perceived

Most people who have heard of vitamin D deficiency associate it with rickets in Dickensian orphans, not with themselves. The modern indoor adult may vaguely know that sunlight is involved and assume that the occasional walk to the car park constitutes adequate UV exposure. Supplement marketing has raised awareness somewhat, but the default intuition is that deficiency is a niche problem for the housebound elderly or the extremely northern -- not something affecting a quarter to a third of ordinary US adults.

Rough estimate: ~10-15% chance of being deficient without supplements

Source: editorial intuition, not polled

Actual

~24% prevalence of serum 25(OH)D <20 ng/mL among US adults (NHANES 2001-2018)

US adults aged 20+ in the NHANES survey (2001-2018 pooled)

Show derivation

NHANES 2001-2018 pooled data (n = 71,685) found 2.6% severe deficiency (<12 ng/mL) and 22% moderate deficiency (12-19 ng/mL) at any given cross-section, totalling ~24.6% point prevalence of serum 25(OH)D <20 ng/mL. Among non-supplement users, prevalence is higher -- Forrest & Stuhldreher (2011) found 41.6% deficiency (<20 ng/mL) in overall NHANES 2005-2006 data, with non-Hispanic blacks at 82.1%. However, that older analysis used less-refined assay standardisation. The CDC 2011-2014 report found ~23% at risk of deficiency or inadequacy combined. For lifetime probability: vitamin D status fluctuates seasonally and with age. A non-supplementing adult who experiences winters, ages past 65, or gains weight will dip below 20 ng/mL at some point with higher probability than the cross-sectional snapshot. Applying a modest cumulative adjustment (~1.4x the ~24% cross-sectional rate) yields ~35%, reflecting that seasonal troughs, illness, pregnancy, and ageing create repeated deficiency episodes over a 59-year adult horizon. This is conservative; some analyses suggest >40% of non-supplementing adults are deficient at any given moment.

Caveats: "Vitamin D deficiency" means different things depending on where the threshold i…

"Vitamin D deficiency" means different things depending on where the threshold is drawn. The IOM uses <12 ng/mL (30 nmol/L) for frank deficiency risk; the Endocrine Society historically used <20 ng/mL (50 nmol/L); some practitioners treat <30 ng/mL as "insufficiency." At the IOM cutoff, only ~5% of the US population qualifies. At the Endocrine Society cutoff, ~24%. At the insufficiency line, ~65%. This entry uses the Endocrine Society's <20 ng/mL threshold as the clinically meaningful boundary, since it corresponds to the level below which parathyroid hormone rises and bone metabolism is demonstrably impaired. Subclinical insufficiency (20-29 ng/mL) is far more common but its clinical consequences remain debated -- the 2024 Endocrine Society guideline notably stepped back from routine population screening. Latitude, season, skin colour, body composition, and indoor lifestyle interact multiplicatively, making population averages particularly poor predictors of individual status.

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Compare to:

NHANES data spanning 2001-2018 found 24.6% of US adults with serum 25(OH)D below 20 ng/mL at any given cross-section — the Endocrine Society’s threshold for deficiency. Add the “insufficient” bracket (20-29 ng/mL) and nearly two-thirds fall short. Among non-supplement users, who constitute roughly 72% of the adult population, the snapshot prevalence is higher still: Forrest and Stuhldreher reported 41.6% deficiency in NHANES 2005-2006 data using an older assay. Over a full adult lifetime, the probability that a non-supplementing individual dips below the deficiency line at least once — during a sedentary winter, an illness, a pregnancy, or simply ageing — lands around 35%. That is not a niche condition. It is the nutritional equivalent of a coin flip with a thumb on the scale.

The disparity story is where the numbers get uncomfortable. Non-Hispanic Black Americans showed deficiency rates of 82.1% in the Forrest analysis and 17.5% even at the stricter IOM cutoff — an eight-fold gap over non-Hispanic Whites at the same threshold. Melanin is an effective UV filter: darker skin synthesises up to 99% less vitamin D3 per unit of sunlight. Latitude compounds the problem. Above the 37th parallel (roughly San Francisco to Richmond, Virginia), winter UVB is too weak to drive meaningful cutaneous synthesis regardless of skin colour. The result is that a dark-skinned person living in Chicago and working indoors is navigating a near-certain deficiency without supplementation, while a fair-skinned outdoor worker in Miami may never think about it.

None of this means the average deficient adult is walking around with rickets. Clinical consequences of subclinical deficiency — the kind most people have — remain genuinely contested. The 2024 Endocrine Society guideline conspicuously declined to recommend routine population screening, suggesting empiric supplementation only for those over 75, pregnant individuals, and high-risk prediabetics. The threshold debate alone (12 ng/mL vs 20 ng/mL vs 30 ng/mL) shifts prevalence from 5% to 65%, which is less a measurement problem than a philosophical one about where “deficient” ends and “suboptimal” begins. What the data do support without much ambiguity: if you never supplement, rarely see direct sun, and live north of the 37th parallel, your serum 25(OH)D has almost certainly been below 20 ng/mL at some point. Whether that mattered is the question the field is still arguing about.

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] Frontiers in Nutrition (Liu et al.) — Prevalence, trend, and predictor analyses of vitamin D deficiency in the US population, 2001-2018
    Prevalence, trend, and predictor analyses of vitamin D deficiency in the US population, 2001-2018
    Statistic
    Weighted prevalence of severe and moderate vitamin D deficiency: 2.6% and 22.0% respectively; insufficiency 40.9%
    Excerpt
    “"Among 71,685 eligible participants, the weighted prevalence of severe and moderate vitamin D deficiency was 2.6% and 22.0%, respectively, with vitamin D insufficiency at 40.9% and sufficiency at 34.5%." ”
    Source data from
    2022-10-07
    Accessed
    2026-04-26 · archived copy
    Calculation
    NHANES 2001-2018 pooled analysis. Deficiency defined as serum 25(OH)D <12 ng/mL (severe) or 12-19 ng/mL (moderate), following the IOM cutoff of <20 ng/mL for combined deficiency. Total deficiency prevalence ~24.6%. Insufficiency (20-29 ng/mL) adds another 40.9%. Only 34.5% were classified as sufficient (≥30 ng/mL). The study found higher prevalence among non-Hispanic Black Americans, winter season, and ages 20-29 (paradoxically, due to lower supplement use and higher obesity in younger cohorts).
  2. [2] NIH Office of Dietary Supplements — Vitamin D - Health Professional Fact Sheet
    Vitamin D - Health Professional Fact Sheet
    Statistic
    5% of US population at risk of deficiency (<30 nmol/L); 18.3% at risk of inadequacy (30-49 nmol/L) per 2011-2014 NHANES; 28% take vitamin D supplements
    Excerpt
    “"In 2011-2014, 5.0% of the population aged 1 year and older were at risk of vitamin D deficiency, and 18.3% were at risk of inadequacy. Approximately 28% of all individuals aged 2 years and older took a dietary supplement containing vitamin D." ”
    Source data from
    2024-08-15
    Accessed
    2026-04-26 · archived copy
    Calculation
    The NIH ODS fact sheet reports NHANES 2011-2014 using the stricter IOM threshold (<30 nmol/L = <12 ng/mL) for "at risk of deficiency" and 30-49 nmol/L (12-19 ng/mL) for "at risk of inadequacy." Combined, 23.3% fall below 20 ng/mL by the broader clinical convention. Critically, 72% of US adults do NOT take vitamin D supplements, meaning the deficiency burden falls disproportionately on this majority. The 92% of men and 97%+ of women who get less than the EAR from food alone underscores how dependent adequate status is on either supplementation or sustained sun exposure.
  3. [3] Nutrition Research (Forrest & Stuhldreher) — Prevalence and correlates of vitamin D deficiency in US adults
    Prevalence and correlates of vitamin D deficiency in US adults
    Statistic
    Overall vitamin D deficiency prevalence 41.6%; non-Hispanic blacks 82.1%, Hispanics 69.2%
    Excerpt
    “"The overall prevalence rate of vitamin D deficiency was 41.6%. The highest rate was seen in blacks (82.1%), followed by Hispanics (69.2%)." ”
    Source data from
    2011-01-01
    Accessed
    2026-04-26 · archived copy
    Calculation
    Forrest & Stuhldreher analysis of NHANES 2005-2006 data (n = 4,495). Deficiency defined as serum 25(OH)D ≤20 ng/mL. The 41.6% figure is the most-cited prevalence estimate and is higher than the 2001-2018 pooled figure (24.6%) partly due to different assay methods and partly because the later pooled study used standardised calibration. The racial disparity (82.1% in Black Americans vs ~20% in non-Hispanic whites) is one of the largest in nutritional epidemiology, driven primarily by melanin-mediated reduction in cutaneous vitamin D3 synthesis.

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