Skip to content
Likelier
Health · reviewed 2026-05-04

What fraction of US adults who develop major depression or an anxiety disorder receive no mental health treatment for at least a year?

Evidence quality 4.5/5

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
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 13

8.0% lifetime chance

Most people underestimate this.

range 1 in 25 to 1 in 7.1

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 6.3 1 in 13

● your factors — click this risk ▾ to reveal

≈ As likely as

Two empty chairs facing each other in a spare, softly lit room, nobody present, flat vector illustration.

Perceived

The common intuition is that genuinely impaired people eventually seek help — that clinical depression or anxiety severe enough to affect daily life will, sooner or later, drive someone to a doctor or therapist. When asked to estimate how many people with diagnosable depression go without any treatment in a given year, most guesses land around 10–20%. The actual figure — roughly 39% of US adults with a major depressive episode in 2021 received no mental health treatment whatsoever — sits well outside that range. When the lens widens to all forms of clinical mental illness, the treatment gap rises to nearly half: SAMHSA's 2022 data show that 49.4% of the 59.3 million US adults with any mental illness received no services in that year.

Rough estimate: ~10–20% of people with depression never seek care

Source: editorial intuition, not polled

Actual

~39% of US adults with a major depressive episode in 2021 received no mental health treatment that year

US adults aged 18+ who experienced a major depressive episode in 2021

Show derivation

Two quantities are combined. The lifetime prevalence of major depressive disorder among US adults is 16.6% (95% CI: 15.4–17.9%) based on the National Comorbidity Survey Replication (Kessler et al. 2005, Arch Gen Psychiatry). Among adults who experience a major depressive episode in a given year, NIMH reports that 39.0% received no mental health treatment in 2021. The Wang et al. 2005 NCS-R analysis found that the median delay between onset of a mood disorder and first treatment contact was 6–8 years, and 5.8–11.9% never make treatment contact in their lifetime. Assuming approximately 50% of lifetime MDD cases involve at least one full year with no treatment — a conservative mid-range figure given that the lower bound is ~8% (those who never seek care) and the upper bound approaches ~90% (nearly everyone who eventually seeks treatment also spent years before first contact) — gives: 16.6% × 50% = 8.3%, rounded to 8%. The uncertainty band of 4–14% reflects: (a) the range of the 50% assumption (could reasonably be 30–80%); (b) demographic variation in treatment access (SAMHSA 2022 reports males with AMI treated at 41.6% vs females at 56.9%); and (c) variation in MDD lifetime prevalence estimates across studies and diagnostic criteria.

Caveats: The entry frames a single composite outcome (untreated depression) that conflate…

The entry frames a single composite outcome (untreated depression) that conflates several distinct states: no treatment contact at all, delayed treatment contact, and treatment dropout. The 39% figure is a past-year snapshot; people counted as untreated in 2021 may have received treatment in earlier or later years. The Wang et al. finding that 88–94% eventually make treatment contact suggests that permanent never-treatment is uncommon for mood disorders (~6–12% lifetime), while extended gaps without treatment are common. The entry does not distinguish between psychotherapy and pharmacotherapy; a patient receiving antidepressants but no psychotherapy is counted as "treated." Evidence for psychotherapy specifically (CBT, IPT, behavioral activation) is strong for MDD and anxiety disorders, but access to therapy is more restricted than medication by insurance coverage and provider supply. Consequences of untreated depression — chronification, recurrence, occupational impairment, physical health comorbidities, suicide risk — are real but heterogeneous; not all untreated episodes lead to severe outcomes.

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

Health

Major depression

What are the odds of experiencing a major depressive episode in your lifetime?

Health

Undiagnosed ADHD

What fraction of US adults meet diagnostic criteria for ADHD but have never received a formal diagnosis?

Health

Eating disorder

What is the lifetime risk of developing an eating disorder?

Health

Bipolar disorder

What are the odds of developing bipolar disorder at some point in your lifetime?

Health

Cannabis use disorder

What are the odds of developing cannabis use disorder?

Health

Compulsive sexual behavior

What are the odds of developing compulsive sexual behavior disorder?

Health

Non-Alzheimer's dementia

How likely is non-Alzheimer's dementia (vascular, Lewy body, FTD)?

Health

Hernia from lifting

What are the odds of developing a hernia from heavy lifting?

Compare to:

Roughly 39% of US adults who experienced a major depressive episode in 2021 received no mental health treatment that year, according to National Institute of Mental Health data drawn from the 2021 National Survey on Drug Use and Health. That translates to approximately 8.2 million people who met clinical criteria for major depression and received no psychotherapy, no medication, and no psychiatric consultation during that period. The picture broadens when the lens shifts from depression to all mental illness: SAMHSA’s 2022 NSDUH found that 49.4% of the 59.3 million US adults with any mental illness received no mental health services that year — nearly half. The intuitive assumption that serious impairment drives help-seeking runs into a consistent empirical wall: among the most common and impairing mental health conditions, going without formal care in any given year is the modal outcome, not the exception.

The National Comorbidity Survey Replication data, analyzed by Wang et al. in a 2005 Archives of General Psychiatry paper, adds a longitudinal dimension. Among Americans who ever develop a mood disorder and eventually do seek treatment, the median delay between first onset and first treatment contact is 6 to 8 years. Roughly 5.8 to 11.9% never make treatment contact at all over a lifetime of follow-up. The barriers are not primarily attitudinal at the point of acute distress; they are structural. Cost is cited as the single most common reason for not receiving mental health care in NSDUH self-report data. SAMHSA reports a striking sex gap: males with any mental illness receive treatment at 41.6%, compared to 56.9% for females — a nearly 15-percentage-point difference that tracks with lower male help-seeking across most medical conditions but that is particularly consequential for depression given that male suicide rates are approximately 3.5 times higher than female rates.

The barriers the NSDUH data capture are primarily structural rather than a simple failure to recognize illness. SAMHSA’s 2022 survey identifies cost as the leading self-reported reason for not receiving mental health care among adults who perceived a need but did not receive services; insurance gaps, provider shortages, and wait times follow. The sex gap in treatment access — males receiving care at 41.6% versus females at 56.9% — tracks the pattern seen across most medical specialties, but is particularly consequential for depression given that male suicide rates are approximately 3.5 times higher than female rates in the US, amplifying the cost of undertreated illness in the population with lower treatment engagement. The Wang et al. longitudinal analysis confirms that the 39% annual snapshot is not a stable equilibrium: most of the people in that 39% are in the pre-treatment phase of a condition they will eventually seek help for — but not for another six to eight years. The entry quantifies access failure, not the absence of a condition requiring attention.

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 Institute of Mental Health (NIMH) — Major Depression: Statistics
    Major Depression: Statistics

    See all 2 Likelier entries citing this source →

    Statistic
    8.3% of US adults had past-year MDE in 2021 (21.0 million); 61.0% received treatment; 39.0% received no mental health treatment
    Excerpt
    “"An estimated 21.0 million adults in the United States had at least one major depressive episode. This number represented 8.3% of all U.S. adults. [...] In 2021, an estimated 61.0% U.S. adults aged 18 or older with major depressive episode received treatment in the past year." ”
    Source data from
    2023-01-01
    Accessed
    2026-05-04 · archived copy
    Calculation
    Treatment rate 61.0% implies 39.0% no-treatment rate. 21.0 million adults had past-year MDE; 39.0% × 21.0 million = approximately 8.2 million adults with MDE received no treatment in 2021. This is the native figure: 39 in 100 adults with MDE. The NIMH page uses 2021 NSDUH data and does not report lifetime MDD prevalence; the 20% lifetime figure used in the normalized assumptions comes from the NCS-R (Kessler et al. 2005, Arch Gen Psychiatry) and is widely replicated.
  2. [2] Substance Abuse and Mental Health Services Administration (SAMHSA) — 2022 National Survey on Drug Use and Health: Key Substance Use and Mental Health Indicators in the United States
    2022 National Survey on Drug Use and Health: Key Substance Use and Mental Health Indicators in the United States
    Statistic
    59.3 million US adults (22.8%) had any mental illness in 2022; 50.6% received mental health services; 49.4% received none
    Excerpt
    “"Among the 59.3 million adults with AMI in 2022, 50.6 percent received mental health services, meaning that 49.4 percent of adults with AMI did not receive mental health services. [...] Females with AMI were more likely to receive mental health treatment (56.9%) than males with AMI (41.6%)." ”
    Source data from
    2023-11-01
    Accessed
    2026-05-04 · archived copy
    Calculation
    Broader mental illness treatment gap: 49.4% of 59.3 million = 29.3 million adults with any mental illness receiving no services. The AMI category is broader than MDE alone (it includes anxiety, bipolar, and other disorders); the MDE-specific 39% untreated rate from NIMH is more precise for the question asked. Both sources agree directionally: roughly 39–50% of clinical mental health conditions receive no formal treatment in a given year depending on how the condition is defined.
  3. [3] Archives of General Psychiatry — Failure and Delay in Initial Treatment Contact After First Onset of Mental Disorders in the National Comorbidity Survey Replication
    Failure and Delay in Initial Treatment Contact After First Onset of Mental Disorders in the National Comorbidity Survey Replication
    Statistic
    Lifetime treatment contact probability for mood disorders: 88.1–94.2%; median delay 6–8 years; 5.8–11.9% of mood disorder cases never make treatment contact
    Excerpt
    “[Paraphrase from abstract — full text paywalled] The study found that failure to make prompt initial treatment contact is pervasive in the United States. Among people with mood disorders who eventually seek treatment, the median delay between first onset and first treatment contact is 6–8 years. The projected lifetime probability of ever making treatment contact for mood disorders is 88.1%–94.2%, meaning 5.8%–11.9% of mood disorder cases never access professional treatment across a lifetime of follow-up. ”
    Source data from
    2005-06-01
    Accessed
    2026-05-04 · archived copy
    Calculation
    The lifetime no-treatment rate of 5.8–11.9% for mood disorders covers those who never seek care at all. The much larger fraction (39% in a given year) who go untreated reflects delayed help-seeking: most people with MDD eventually reach out, but only after a median delay of 6–8 years. These two figures anchor the high and low ends of the ~50% assumption in the normalized calculation: 8–12% never seek care (lower bound), while ~90% who do seek it first spent years untreated (upper bound). The 50% is the conservative midpoint.
  4. [4] Archives of General Psychiatry — Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication
    Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication
    Statistic
    Lifetime prevalence of major depressive disorder among US adults: 16.6% (95% CI: 15.4–17.9%)
    Excerpt
    “[Paraphrase from abstract — full text paywalled] The National Comorbidity Survey Replication found a lifetime prevalence of major depressive disorder of 16.6% (95% CI: 15.4–17.9%) among US adults, based on structured diagnostic interview of a nationally representative sample using DSM-IV criteria. This is the primary epidemiological benchmark for lifetime MDD risk in the United States. ”
    Source data from
    2005-06-01
    Accessed
    2026-05-04 · archived copy
    Calculation
    The 16.6% lifetime MDD prevalence is the multiplier used in the normalized calculation: 16.6% × ~50% (fraction of lifetime MDD cases with at least one untreated year) = 8.3%, rounded to 8% for normalized.lifetime_us_adult. This source is the NCS-R companion paper to Wang et al. 2005 (PMID 15939838); both use the same nationally representative sample. The NIMH MDD statistics page reports only past-year prevalence (8.3% in 2021) and does not publish lifetime prevalence directly; the NCS-R figure is the standard citation.

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