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Perceived fear vs. actual probability

What are the odds a US adult is vitamin B12 deficient?

Lifetime probability

~3.6% of US adults are vitamin B12 deficient (12.5% insufficient) — NHANES 2007-2018

3.6% lifetime chance

Most people overestimate this.

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

Food · reviewed 2026-07-18
Evidence quality 4.88/5

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
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence
Source Government statistic · NIH Office of Dietary Supplements
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 6.9 1 in 28

● your factors — click this risk ▾ to reveal

  1. Your factors
A single small capsule beside a slice of fortified bread on a plain plate, muted red and grey flat vector illustration.

Perceived

Vitamin B12 has an outsized presence in health anxiety relative to how common a deficiency actually is. Supplement aisles, energy-drink labels, and vegan-nutrition forums frame it as a widespread modern shortfall, and "low B12" is a popular self-diagnosis for ordinary tiredness. The result is a split intuition: the health-conscious and plant-based crowd tend to overestimate their odds, while the general public rarely registers that the real risk is concentrated in a few specific groups -- older adults with absorption problems, long-term metformin users, and strict vegans -- rather than spread evenly across everyone.

Rough estimate: ~15-25% of adults are deficient

Source: editorial intuition, not polled

Actual

~3.6% of US adults ≥19 are vitamin B12 deficient (serum B12 <148 pmol/L); 4.4% among supplement non-users; 12.5% insufficient (NHANES 2007-2018)

US adults aged 19+ (NHANES 2007-2018)

Show derivation

Zhou et al. (AJCN 2023), pooling NHANES 2007-2018, found mean vitamin B12 deficiency (serum B12 <148 pmol/L) of 3.6% in US adults ≥19 — 4.4% among supplement non-users versus 2.3% among users — and 12.5% with insufficiency (<221 pmol/L). The headline is that cited cross-sectional figure, un-inflated (following the same discipline as the iron and magnesium entries): no modeled lifetime multiplier is applied, because a defensible cumulative figure is not separately measured. The wide uncertainty band instead spans the range that actually matters here: the low end reflects supplement users and the strict <148 pmol/L cutoff (~2.3%), the high end reflects the far larger "insufficient" bracket (~12.5%). Deficiency estimates are unusually sensitive to where the serum threshold is drawn, and serum B12 is itself an insensitive marker (see caveats), so this entry deliberately reports the conservative clinical-deficiency figure and treats insufficiency as the upper bound rather than the headline. Notably, unlike most nutrient gaps, age barely moves the strict-serum number (3.7% at ≥60 vs 3.6% overall) — the elevation in older adults shows up in functional markers, not serum B12.

Caveats: This is a general-US-adult figure, and the honest reading is that clinical B12 d…

This is a general-US-adult figure, and the honest reading is that clinical B12 deficiency is uncommon at the population level (~3.6%) but genuinely concentrated in specific groups — which is exactly why a single headline number can mislead in both directions. The bigger measurement caveat is the cutoff. "Deficiency" here means serum B12 <148 pmol/L; loosen the threshold toward the "insufficient" line (<221 pmol/L) and the figure more than triples to ~12.5%, and clinicians often treat values up to ~250 pg/mL as subnormal. Serum B12 is also an insensitive marker: NIH ODS notes that methylmalonic acid (MMA) is more sensitive, and functional-marker studies find substantially higher deficiency in older adults than serum B12 alone suggests — so the strict-serum 3.7% for the over-60s understates the real burden in that group. Deficiency also matters more than its low rate implies: untreated, it can cause megaloblastic anemia and irreversible neurological damage, so the low base rate is not a reason to dismiss it in someone with symptoms or a risk factor. Finally, the perceived-fear split is real: strict vegans who don't supplement or eat fortified foods are legitimately at elevated risk, even though the average adult is not.

Related risks

Other risks on similar themes — for exploring related fears.

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Adult-onset food allergy

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Iron gap (women)

What are the odds a woman of reproductive age is iron deficient?

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Vitamin D gap

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

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Magnesium gap

What are the odds your magnesium intake falls short of the recommended amount?

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Charred meat & cancer

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Infant sugar/salt and adult disease

How much does added sugar and salt in the first two years of life raise a child's risk of developing type 2 diabetes and hypertension in adulthood?

Compare to:

At the population level, vitamin B12 deficiency is uncommon: pooling NHANES 2007-2018, Zhou and colleagues found 3.6% of US adults below the deficiency threshold of 148 pmol/L, rising only to 4.4% among those who take no B12 supplement. Loosen the definition to “insufficient” (below 221 pmol/L) and the figure more than triples to 12.5% — which is exactly the problem with a single headline number for this nutrient. Where you draw the serum line swings the answer by several-fold, and serum B12 is a blunt instrument to begin with. It is nothing like the vitamin D story next door in this cluster, where a third of non-supplementing adults dip below the line; for B12, the average adult who eats any animal products is very unlikely to be deficient.

The risk is real, but it is concentrated rather than spread. Three groups carry most of it. Older adults develop atrophic gastritis and lose the stomach acid and intrinsic factor needed to absorb B12 from food — though, tellingly, this shows up in functional markers like methylmalonic acid more than in serum B12, so the strict 3.7% figure for the over-60s understates their true burden. Long-term metformin users see roughly double the rate of low or borderline B12, as the drug impairs absorption in the ileum. And strict vegans who neither supplement nor eat fortified foods are genuinely exposed, because bioavailable B12 is essentially absent from plants. The perceived-fear split falls out of this cleanly: the vegan forums worrying about B12 are not wrong for themselves, even as the general adult overestimates a risk that, for them, is small.

None of this makes deficiency trivial when it happens. Left untreated, B12 deficiency causes megaloblastic anemia and can inflict permanent neurological damage — numbness, gait problems, cognitive change — some of which does not reverse. So the honest framing is two-sided: a low base rate that argues against reflexive supplementation or self-diagnosis for the typical adult, paired with a genuinely elevated, checkable risk for anyone over 60, on metformin, post-gastric-surgery, or eating strictly plant-based. The number to remember is not really 3.6%. It is that B12 is the rare nutrient gap where who you are matters far more than the population average.

Only about 3.6% of US adults are vitamin B12 deficient, so the general worry is overblown. But bioavailable B12 is essentially absent from plants, so a strict vegan who skips fortified foods and a supplement is genuinely at elevated risk.

Read more → ⇄ compare

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] American Journal of Clinical Nutrition (Zhou, Wang, Yeung, Qi, Pfeiffer, et al.) — Folate and vitamin B12 usual intake and biomarker status by intake source in United States adults aged ≥19 y: NHANES 2007-2018
    Folate and vitamin B12 usual intake and biomarker status by intake source in United States adults aged ≥19 y: NHANES 2007-2018
    Statistic
    Vitamin B12 deficiency (serum B12 <148 pmol/L): 3.6% overall (4.4% supplement non-users, 2.3% users); insufficiency (<221 pmol/L) 12.5%; among adults ≥60, deficiency 3.7% and insufficiency 12.3%.
    Excerpt
    “"The mean vitamin B12 deficiency was 3.6% in the overall population and 4.4% and 2.3% between vitamin B12 supplement nonusers and users, respectively." ”
    Source data from
    2023-07-01
    Accessed
    2026-07-18 · archived copy
    Calculation
    NHANES 2007-2018 pooled (nationally representative US adults ≥19). Deficiency defined as serum B12 <148 pmol/L, insufficiency <221 pmol/L. The 3.6% overall deficiency figure is the native prevalence and the normalized headline (un-inflated). The 4.4% supplement-non-user figure is reported alongside because this cluster's framing is "without supplements," and the 12.5% insufficiency figure and the ≥60 breakdown (3.7% / 12.3%) inform the uncertainty band and the caveats. No lifetime multiplier is applied.
  2. [2] NIH Office of Dietary Supplements — Vitamin B12 — Health Professional Fact Sheet
    Vitamin B12 — Health Professional Fact Sheet
    Statistic
    Groups at higher risk of B12 deficiency: older adults, people with pernicious anemia or GI disorders, those with GI surgery, and people on vegetarian/vegan diets. Serum B12 <200-250 pg/mL is subnormal; methylmalonic acid (MMA) is the most sensitive marker.
    Excerpt
    “"Certain groups of people are more likely than others to be vitamin B12 deficient. These include older adults, people with pernicious anemia or gastrointestinal disorders, and those who have had gastrointestinal surgery. Other groups that are at risk of vitamin B12 deficiency include people who follow vegetarian diets and the infants of women who follow vegan diets. [...] The most sensitive marker of vitamin B12 status is a vitamin B12-associated metabolite called methylmalonic acid." ”
    Source data from
    2025-07-02
    Accessed
    2026-07-18 · archived copy
    Calculation
    The NIH ODS fact sheet grounds the risk-group story that the whole entry turns on: clinical deficiency is concentrated in older adults with malabsorption, people with pernicious anemia / GI disease / GI surgery, and strict plant-based eaters — not spread evenly. It also supplies the measurement caveat: serum B12 is an insensitive marker (subnormal <200-250 pg/mL), and MMA is more sensitive, which is why serum-based prevalence understates functional deficiency in older adults. Grounds the vegan and malabsorption multipliers (directionally) and the caveats.
    Independence
    NIH ODS is an independent government reference; it does not derive the headline prevalence, which comes from the peer-reviewed NHANES analysis above.
  3. [3] Journal of Clinical Endocrinology & Metabolism (Aroda et al.) — Long-term Metformin Use and Vitamin B12 Deficiency in the Diabetes Prevention Program Outcomes Study (DPPOS)
    Long-term Metformin Use and Vitamin B12 Deficiency in the Diabetes Prevention Program Outcomes Study (DPPOS)
    Statistic
    At 13 years, low B12 (≤203 pg/mL) 7.4% in metformin vs 5.4% placebo; combined low/borderline-low (≤298 pg/mL) 20.3% vs 15.6%. At 5 years, definite low B12 4.3% vs 2.3%.
    Excerpt
    “"Low B12 (≤ 203 pg/mL) occurred more often in MET than PLA at 5 years (4.3 vs 2.3%; P = .02) but not at 13 years (7.4 vs 5.4%; P = .12). Combined low and borderline-low B12 (≤ 298 pg/mL) was more common in MET at 5 years (19.1 vs 9.5%; P < .01) and 13 years (20.3 vs 15.6%; P = .02)." ”
    Source data from
    2016-04-01
    Accessed
    2026-07-18 · archived copy
    Calculation
    DPPOS randomized long-term data. Grounds the metformin multiplier: definite B12 deficiency ran ~1.9x higher on metformin at 5 years (4.3% vs 2.3%); the combined low/borderline measure roughly doubled at 5 years (19.1% vs 9.5%) and stayed elevated at 13 years (20.3% vs 15.6%). Does not feed the headline arithmetic — it supports only the metformin personal_factor_multiplier.
    Independence
    Independent randomized-cohort source, separate from the NHANES cross-sectional prevalence and the ODS reference.

434 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 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 Skipping care over ICE fear — 1 in 7.1 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 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.3 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 9.8 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Parent death/disability — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 26 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Dying without heir — 1 in 100 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 709 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 159 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Child nicotine-pouch ingestion — 1 in 7,937 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Crocodile attack — 1 in 337,838 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000
Lottery jackpot 1 in 95,238

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