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Likelier
Health · reviewed 2026-04-11

What are the odds of dying from type 2 diabetes or its complications?

Evidence quality 4.63/5

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
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 13

7.5% lifetime chance

Most people underestimate this.

range 1 in 20 to 1 in 8.3

lifetime, global adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 2.7 1 in 22

● your factors — click this risk ▾ to reveal

≈ As likely as

A single thin descending line crossing a horizontal threshold on a muted sand background, flat vector illustration.

Perceived

Type 2 diabetes almost never appears on lists of things people fear. It doesn’t feature in the Chapman Survey of American Fears top tier, it isn’t the premise of any disaster movie, and most adults under 60 file it somewhere between “a lifestyle problem” and “manageable with pills”. The intuitive model is that diabetes is slow, chronic, and mostly a matter of inconvenience — a disease you live with, not one you die from. That collapses the single biggest accounting question in diabetes epidemiology (underlying vs contributing cause of death) into the wrong answer, and it underweights the role diabetes plays in driving the cardiovascular and kidney deaths that sit above it in the rankings.

Rough estimate: 31% of US adults say they are very or somewhat worried about personally experiencing diabetes

Source: Gallup (2021) — Cancer, Heart Disease Worries Eclipse COVID-19

Actual

~6.7 million diabetes-related deaths per year globally (adults 20-79)

global adults 20-79, diabetes-related deaths (IDF 2021)

Show derivation

Uses the IDF Diabetes Atlas 10th edition (2021) estimate of ~6.7 million diabetes-related deaths in adults aged 20-79 globally in 2021 as the headline figure. This is the broader “diabetes-attributable” count, which includes deaths where diabetes was the underlying cause and deaths where diabetes was the main driver of a cardiovascular or renal cause of death. The narrower WHO “underlying cause” count is much smaller — ~1.6 million direct diabetes deaths per year globally per the WHO Diabetes fact sheet (2024 update), plus ~530,000 diabetes-attributable kidney disease deaths and roughly 11% of all cardiovascular deaths. Type 2 diabetes accounts for ~96% of diabetes cases and ~95% of the global diabetes disease burden per the GBD 2021 diabetes collaborators, so the all-diabetes figure is effectively a type-2 figure. Across a global adult population of ~5.5 billion (age 18+), 6.7 million deaths/year is ~1.22 per 1,000 adults/year. Compounded naively over 60 adult years: 1 - (1 - 1.22e-3)^60 ≈ 0.070. Adjusted modestly upward to 0.075 (≈ 1 in 13) to reflect that diabetes mortality is concentrated in the second half of adult life where per-year hazards are several-fold higher than the average, and the naive compounding understates the lifetime figure. Scope is global-adult-lifetime rather than US-adult-lifetime because diabetes prevalence varies roughly four-fold across regions (Oceania ~12% vs Sub-Saharan Africa ~5.5% age-standardised) and the headline needs to reflect the global baseline, not a US-specific one.

Caveats: The single largest uncertainty on this page is the definition of “diabetes-attri…

The single largest uncertainty on this page is the definition of “diabetes-attributable death”. On the strict WHO underlying-cause definition, diabetes directly kills ~1.6 million people per year globally, which would put the lifetime figure closer to 1 in 50. On the broader IDF diabetes-related definition — which credits diabetes with the cardiovascular and kidney deaths it drives — the number is ~6.7 million per year and the lifetime figure is closer to 1 in 13. Likelier uses the broader figure as the headline because it is the one that matches what the word “diabetes kills” actually means in everyday language: a type 2 diabetic who dies of a heart attack at 65 did, in a meaningful sense, die of diabetes. The uncertainty band brackets both methodologies. Type 2 diabetes accounts for ~95% of global diabetes cases (GBD 2021), so the “diabetes” and “type 2 diabetes” figures are essentially interchangeable for the headline. The personal_factor_multipliers are order-of-magnitude relative risks from the epidemiological literature, not a calibrated personal risk calculator: for a formal personal estimate, clinical tools such as the AUSDRISK, FINDRISC, or QDiabetes calculators are the appropriate instrument.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
Global average 1 in 13 IDF 6.7M diabetes-related deaths (adults 20-79) compounded over 60 adult years
US adult 1 in 11 CDC ~94K underlying-cause + ~300K contributing-cause diabetes deaths per year; ~12% of US adults have diabetes
Pacific Islands (highest prevalence) 1 in 5.6 Several Pacific Island nations have adult diabetes prevalence above 25% (Marshall Islands, Kiribati, Tuvalu, Nauru); GBD 2021 places Oceania regional prevalence at 12.3%, the highest in the world
North Africa / Middle East 1 in 9.1 GBD 2021 age-standardised prevalence 9.3%, second-highest global region; driven by urbanisation and BMI transition
South Asia 1 in 9.1 Elevated risk at lower BMI than European-ancestry populations; India and Pakistan together account for a large share of global diabetes cases
Sub-Saharan Africa 1 in 25 Lower prevalence and higher competing mortality (infectious disease, maternal) mask the underlying trend; diabetes mortality is rising fastest here

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Compare to:

Type 2 diabetes is probably the single most underrated major killer on this site. The International Diabetes Federation’s 10th edition Atlas puts global diabetes-related deaths at roughly 6.7 million per year in adults aged 20-79, and the GBD 2021 diabetes collaborators in The Lancet report that type 2 accounts for 96% of all diabetes cases and 95% of diabetes DALYs worldwide — so the all-diabetes number is effectively a type-2 number. Spread across a global adult population and compounded over a normal adult lifespan, that works out to something close to 1 in 13 as a lifetime mortality figure for a generic adult alive today. For scale: that is comparable to heart disease, larger than stroke, and several hundred times the combined lifetime mortality from terrorism, plane crashes, and shark attacks added together. Diabetes kills more people every year than HIV, tuberculosis, and malaria combined, and it almost never cracks the top tier of anyone’s fear list.

The interesting thing about diabetes on the Likelier catalogue is the accounting. The World Health Organization’s 2024 Diabetes fact sheet puts direct diabetes deaths at ~1.6 million per year, plus another ~530,000 diabetes-attributable kidney disease deaths, plus roughly 11% of all cardiovascular deaths — which is where the extra few million in the broader IDF figure come from. On the strict underlying-cause definition a type 2 diabetic who dies of a heart attack at 65 dies of heart disease; on the broader “diabetes-related” definition that same death is diabetes-attributable, and the two accounting conventions disagree by a factor of roughly three. The same problem shows up in the US data: CDC FastStats reports ~94,000 US deaths with diabetes as the underlying cause in 2024 (rank 7 among all causes), but diabetes is mentioned on roughly four times as many death certificates once you include contributing-cause entries. This page uses the broader figure, because that is the one that maps to what readers mean when they ask whether diabetes is going to kill them.

Where the number doesn’t apply: almost everywhere, because heterogeneity on this fear is enormous. Several Pacific Island nations — Marshall Islands, Kiribati, Tuvalu, Nauru — have adult diabetes prevalence above 25%, the highest rates anywhere on Earth, driven by a combination of genetic susceptibility and a rapid mid-century dietary transition from traditional foods to imported processed staples. At the other end of the spectrum, age-standardised prevalence in Sub-Saharan Africa is roughly half the global average, although competing mortality from infectious disease makes that number misleading as a trend indicator. Within any given country, the gap between a non-smoker with BMI 22 who meets physical activity guidelines and has no family history and an adult with BMI 35+, untreated prediabetes, and first-degree family history is larger than the gap between most pairs of fears on this site. The global 1-in-13 figure is a ceiling, not a forecast, for any particular reader.

Type 2 diabetes and Alzheimer's are both leading causes of death, both strongly linked to lifestyle, and both progress slowly enough that urgency never kicks in. The threats that kill gradually don't trigger the fear response.

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] International Diabetes Federation (Sun et al., Diabetes Research and Clinical Practice) — IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045
    IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045
    Statistic
    Global diabetes prevalence in 20-79 year olds in 2021 was 10.5% (536.6 million people), projected to rise to 12.2% (783.2 million) in 2045
    Excerpt
    “"The global diabetes prevalence in 20-79 year olds in 2021 was estimated to be 10.5% (536.6 million people), rising to 12.2% (783.2 million) in 2045. [...] Prevalence [in 2021] was estimated to be higher in urban (12.1%) than rural (8.3%) areas, and in high-income (11.1%) compared to low-income countries (5.5%). The greatest relative increase in the prevalence of diabetes between 2021 and 2045 is expected to occur in middle-income countries (21.1%)." ”
    Source data from
    2022-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    IDF’s 10th edition Atlas reports ~6.7 million diabetes-related deaths in adults 20-79 in 2021 as the broad “diabetes-attributable” figure (main report; the Sun et al. abstract itself covers prevalence not mortality). The 6.7M number is used as the numerator for the normalized rate: 6.7M / ~5.5B global adults ≈ 1.22 per 1,000 adults/year, compounded over 60 adult years → ~7%, adjusted to 7.5% for the age-concentration of diabetes mortality. IDF 536.6M ≈ WHO 830M (2022, age-standardised across all ages 18+) differ because IDF restricts to 20-79 and WHO includes the full adult population.
    Independence
    IDF Atlas estimates and GBD 2021 diabetes estimates share substantial upstream data (national surveys, registry data, verbal autopsy studies) but use different modelling pipelines and are published separately; treat as partially but not fully independent of the Lancet GBD source below.
  2. [2] World Health Organization — Diabetes — fact sheet
    Diabetes — fact sheet
    Statistic
    830 million adults living with diabetes in 2022; 14% of adults aged 18+; 1.6 million direct diabetes deaths in 2021 plus 530,000 diabetes-attributable kidney disease deaths; ~11% of cardiovascular deaths caused by high blood glucose; >95% of cases are type 2
    Excerpt
    “"In 2022, 14% of adults aged 18 years and older were living with diabetes, an increase from 7% in 1990. [...] More than 95% of people with diabetes have type 2 diabetes. [...] In 2021, diabetes and kidney disease due to diabetes caused over 2 million deaths. In addition, around 11% of cardiovascular deaths were caused by high blood glucose. [...] More than half of people living with diabetes did not take medication for their diabetes in 2022. Diabetes treatment was lowest in low- and middle-income countries." ”
    Source data from
    2024-11-14
    Accessed
    2026-04-11 · archived copy
    Calculation
    WHO’s narrower underlying-cause count (1.6M direct diabetes deaths + 0.53M diabetes-attributable kidney disease deaths = ~2.1M) plus ~11% of the ~19.8M annual global CVD deaths (≈ 2.2M) gives ~4.3M diabetes-attributable deaths on the WHO methodology, materially below IDF’s 6.7M. The gap is mostly in the CVD-attribution fraction: IDF uses a broader PAF approach that credits more diabetic CVD deaths to diabetes itself. The Likelier headline splits the difference and uses the IDF number; the uncertainty band (0.05-0.12) covers both methodologies. Used as the authoritative top-level institutional source and to anchor the “95% of cases are type 2” framing, which is why the page treats “diabetes” and “type 2 diabetes” as essentially interchangeable for the headline number.
    Independence
    WHO diabetes fact sheet draws on WHO Global Health Estimates, which in turn uses IHME GBD inputs; partially dependent on the Lancet GBD source but methodologically distinct in how it allocates CVD deaths to diabetes.
  3. [3] GBD 2021 Diabetes Collaborators (The Lancet) — Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
    Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
    Statistic
    529 million people living with diabetes in 2021 (95% UI 500-564); type 2 diabetes accounts for 96.0% of cases and 95.4% of diabetes DALYs; global age-standardised prevalence 6.1%; highest regional rates in Oceania (12.3%) and North Africa/Middle East (9.3%); 1.31 billion projected by 2050
    Excerpt
    “"In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide. The global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). [...] Type 2 diabetes [...] accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. [...] The highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). [...] 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. [...] By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes." ”
    Source data from
    2023-07-15
    Accessed
    2026-04-11 · archived copy
    Calculation
    GBD 2021 gives a total-diabetes count (529M) about 1.5% below IDF (536.6M in the slightly different 20-79 window), a close enough agreement to anchor the order of magnitude. The key figure Likelier uses from this source is the 96% type-2 share, which justifies treating the all-diabetes mortality number as effectively a type-2 number. The Oceania and North Africa/Middle East regional highs feed the regional_breakdown entries, and the 52% BMI attribution feeds the BMI-based personal_factor_multipliers. Used as the authoritative peer-reviewed cross-check on the IDF Atlas headline and as the source for regional variance and BMI attribution.
    Independence
    GBD 2021 uses the IHME Cause of Death Ensemble model pipeline, which is methodologically distinct from IDF’s Atlas modelling but draws on overlapping upstream vital registration data; partially dependent.
  4. [4] US Centers for Disease Control and Prevention / National Center for Health Statistics — Diabetes — FastStats
    Diabetes — FastStats
    Statistic
    94,445 US deaths with diabetes as underlying cause (2024); 27.8 deaths per 100,000; diabetes is the 7th-ranked cause of death in the US
    Excerpt
    “"Number of deaths: 94,445. Deaths per 100,000 population: 27.8. Cause of death rank: 7. [...] Source: National Vital Statistics System - Mortality Data (2024) via CDC WONDER." ”
    Source data from
    2026-02-20
    Accessed
    2026-04-11 · archived copy
    Calculation
    ~94,400 US underlying-cause deaths across ~260M US adults ≈ 0.36 per 1,000 adults/year. Compounded over 60 adult years: 1 - (1 - 3.6e-4)^60 ≈ 0.021, a US-only figure of ~2.1% on the strict underlying-cause definition. The corresponding broader figure — the one that matches the global IDF methodology — uses the National Diabetes Statistics Report finding that diabetes was mentioned as underlying or contributing cause on ~399,000 US death certificates in 2023 (~4.2x the underlying-cause count), implying a lifetime figure closer to 0.09 for US adults. That is what the US row in regional_breakdown reflects. Used as the US anchor and to justify the underlying-vs-contributing methodology discussion in the long-form body.
    Independence
    CDC FastStats draws from the NCHS NVSS death-certificate pipeline, which also feeds into WHO Global Health Estimates and IHME GBD upstream. Used here as the US-specific anchor rather than an independent verification of the global IDF/GBD figure.

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