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Health · reviewed 2026-04-11

What are the odds of dying from tuberculosis?

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
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 108

0.9% lifetime chance

Most people underestimate this.

range 1 in 133 to 1 in 91

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 3.6 1 in 108

● your factors — click this risk ▾ to reveal

≈ As likely as

A single muted lung-shaped leaf on a pale neutral background, flat vector illustration.

Perceived

In wealthy countries, tuberculosis is widely treated as a 19th-century disease — the illness of Victorian novels, sanatoriums, and Keats, not of 2026. Most Likelier readers in the US, Western Europe, Japan, or Australia would guess their personal odds of dying from TB at essentially zero, and for them that guess is roughly correct. What the same readers almost universally get wrong is the global picture: TB has been the world’s leading infectious-disease killer for most of the past decade, it regained that title from COVID-19 in 2023, and it kills roughly twice as many people every year as HIV/AIDS. We have not found a cross-national survey that isolates “fear of dying from TB” as a clean question, so the perceived side here is editorial intuition, not polled data.

Rough estimate: Western readers treat it as a historical disease; the global burden is ~1.25 million deaths per year

Source: editorial intuition, not polled

Actual

~1.25 million global TB deaths per year (2023)

global, all ages (WHO Global TB Report 2024, reference year 2023)

Show derivation

Uses the WHO Global Tuberculosis Report 2024 headline figure for reference year 2023: 1.09 million TB deaths among HIV-negative people plus 161,000 deaths among people with HIV, for a combined total of ~1.25 million per year. Divided by a global population of ~8 billion gives an annual per-capita hazard of ~1.56 × 10⁻⁴. Compounded over 60 adult life-years: 1 − (1 − 1.56e-4)^60 ≈ 9.3 × 10⁻³, or roughly 1 in 108 global adult lifetime. The uncertainty band reflects the WHO 95% UI on HIV-negative TB deaths (0.98–1.20 million) plus the HIV-TB contribution, and the spread between WHO programmatic estimates (~1.25M) and GBD 2021 estimates (~1.35M). This is a global-average scale marker only — see the regional breakdown below. For residents of the US, Western Europe, Japan, and Australia, the actual figure is roughly five orders of magnitude lower.

Caveats: The ~1 in 110 figure is a global-average scale marker and is almost useless as a…

The ~1 in 110 figure is a global-average scale marker and is almost useless as a personal estimate. Tuberculosis mortality is overwhelmingly concentrated in eight countries (India, Indonesia, China, Philippines, Pakistan, Nigeria, Bangladesh, and South Africa) which together account for roughly two thirds of global cases, and within those countries risk is further concentrated in people living with HIV, in malnourished populations, in prisons and crowded institutional settings, and in household contacts of active cases. For residents of the US, Western Europe, Japan, and Australia without any of those risk factors, annual risk is ~1 in a million or lower — a gap of roughly five orders of magnitude versus the global headline. The global number has also been moving: TB deaths rose during 2020–2022 as COVID-19 disrupted TB programs, then began declining again; the reference-year-2023 WHO figure used here is a post-disruption recovery point, not a long-run steady state.

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 108 ~1.25M TB deaths/yr across 8B people, compounded over 60 adult years. A scale marker, not a personal estimate.
India / Indonesia / Philippines 1 in 25 India alone accounts for roughly a quarter of global TB deaths; South and Southeast Asia together dominate the global incidence.
Sub-Saharan Africa (high HIV prevalence) 1 in 20 HIV-TB co-infection drives case-fatality up from ~15% to closer to 40–50%; TB is the leading cause of death among people living with HIV.
US / Western Europe / Japan 1 in 20,000 Essentially absent as a population risk. CDC reports ~350 TB-attributed deaths per year in the US (~1 in a million annually).

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Compare to:

The World Health Organization’s Global Tuberculosis Report 2024 attributes roughly 1.25 million deaths to TB in reference year 2023: about 1.09 million among HIV-negative people and another 161,000 among people living with HIV. That is more than HIV/AIDS (~630,000). It is more than malaria (~610,000). It is roughly four times the officially reported global COVID-19 death count for the same year, and in 2023 TB reclaimed the title it had held every year from 2014 to 2019: the world’s single deadliest infectious disease. The peer-reviewed Global Burden of Disease 2021 analysis, using a completely independent modeling pipeline, landed at ~1.35 million TB deaths — same order of magnitude, same conclusion. Averaged across 8 billion people and compounded over 60 adult years, the global headline lifetime figure is roughly 1 in 110.

What is genuinely strange about this fear is how badly the cultural imagination tracks the data. Most Likelier readers in wealthy countries file TB alongside cholera, typhus, and polio — diseases that used to matter before antibiotics, plumbing, and vaccines. That framing is correct for the US, where the CDC records ~350 TB-attributed deaths per year out of ~335 million people, a per-capita annual risk around one in a million. It is wrong for the world. TB is not a historical disease. It is an active epidemic that kills roughly as many people every year as live in a mid-sized American city, concentrated overwhelmingly in India, Indonesia, China, the Philippines, Pakistan, Nigeria, Bangladesh, and South Africa. The wealthy-country experience and the global experience of TB differ by roughly five orders of magnitude; both numbers are correct, they describe different populations.

The single largest piece of heterogeneity hiding behind the headline is the HIV-TB interaction. People living with HIV are about twelve times more likely to develop active TB than people without, TB is the leading cause of death among people living with HIV, and TB case-fatality climbs from roughly 15% in HIV-negative patients to something closer to 40–50% in untreated HIV-positive patients. That is why sub-Saharan Africa carries a disproportionate share of TB mortality relative to its caseload: the two epidemics are not separable there. The other large heterogeneities — malnutrition, household contact with an active case, crowded institutional settings — move individual risk by factors of 4 to 30 above the local average. The global 1 in 110 number is the right anchor for comparing TB to other infectious-disease fears on this site. It is the wrong anchor for almost any specific reader.

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] World Health Organization — Global Tuberculosis Report 2024 — 1.2 TB mortality
    Global Tuberculosis Report 2024 — 1.2 TB mortality
    Statistic
    1.09 million TB deaths among HIV-negative people (95% UI 0.98–1.20 million) plus 161,000 deaths among people with HIV (95% UI 132,000–193,000) in 2023; ~1.25 million total. TB deaths from HIV-negative people (1.1 million) were almost double the deaths caused by HIV/AIDS (0.63 million).
    Excerpt
    “"Globally in 2023, there were an estimated 1.09 million deaths among HIV-negative people (95% uncertainty interval [UI]: 0.98–1.2 million) and an estimated 161 000 deaths among people with HIV (95% UI: 132 000–193 000). … The estimated number of deaths officially classified as caused by TB (i.e. those among HIV-negative people) in 2023, at 1.1 million, was almost double of the number of deaths caused by HIV/AIDS (0.63 million). … Now that COVID-19 has receded as a global public health emergency, in 2023 TB probably returned to being the leading cause of death from a single infectious agent." ”
    Source data from
    2024-10-29
    Accessed
    2026-04-11 · archived copy
    Calculation
    1.09M HIV-negative + 161K HIV-positive = ~1.25M total annual TB deaths globally for reference year 2023. Divided by ~8 billion global population gives an annual per-capita hazard of 1.56 × 10⁻⁴; compounded over 60 adult years yields 1 − (1 − 1.56e-4)^60 ≈ 9.3 × 10⁻³, i.e. roughly 1 in 108. The ~95% uncertainty interval on HIV-negative TB deaths alone (0.98–1.20 million) plus the HIV-positive contribution drives the uncertainty band used in the normalized figure.
    Independence
    WHO Global TB Report is the primary programmatic pipeline — country-reported case/death notifications aggregated and modelled by the WHO Global TB Programme. Methodologically distinct from IHME's GBD Cause of Death Ensemble model (cited below), which uses overlapping upstream vital registration data but independent modelling; the two anchors genuinely triangulate the global figure.
  2. [2] Lancet Infectious Diseases / GBD 2021 Tuberculosis Collaborators — Global, regional, and national age-specific progress towards the 2020 milestones of the WHO End TB Strategy: a systematic analysis for the Global Burden of Disease Study 2021
    Global, regional, and national age-specific progress towards the 2020 milestones of the WHO End TB Strategy: a systematic analysis for the Global Burden of Disease Study 2021
    Statistic
    GBD 2021 estimated 9.40 million (95% UI 8.36–10.5) TB incident cases and 1.35 million (1.23–1.52) TB deaths in 2021. Global TB mortality fell ~12% between 2015 and 2020 — short of the WHO End TB Strategy 35% target. Mortality decline was 35.3% in children under 5 but only 3.3% in adults 70+.
    Excerpt
    “"The GBD 2021 study estimated 9.40 million (95% uncertainty interval [UI] 8.36 to 10.5) tuberculosis incident cases and 1.35 million (1.23 to 1.52) deaths due to tuberculosis in 2021. … Globally, between 2015 and 2020, the all-age tuberculosis incidence rate declined by 6.3% and tuberculosis mortality declined by 12%, both falling short of the WHO End TB Strategy 2020 milestones of 20% and 35% reductions, respectively." ”
    Source data from
    2024-07-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    GBD 2021 is an independent modeling exercise from IHME and is the peer-reviewed corroboration of the WHO programmatic figure. GBD estimates ~1.35M TB deaths in 2021 vs WHO’s ~1.4M; the two systems agree on order of magnitude and on the conclusion that TB remains the leading infectious cause of death globally. The spread between the two headline estimates (~1.25M WHO 2023 vs ~1.35M GBD 2021) is the main driver of the upper end of the uncertainty band.
    Independence
    GBD is an IHME-led modeling exercise that uses its own cause-of-death pipeline and vital registration ensemble model, independent of WHO’s programmatic TB estimates. The two have known methodological differences (GBD typically reports slightly higher TB mortality than WHO) and are treated here as two genuinely independent anchors.
  3. [3] US Centers for Disease Control and Prevention (CDC) — Deaths Among Persons with TB: 2010–2022 (Reported Tuberculosis in the United States, 2024)
    Deaths Among Persons with TB: 2010–2022 (Reported Tuberculosis in the United States, 2024)
    Statistic
    858 deaths among US persons with TB in 2022 (most recent year with death data); of these, 349 (41%) were related to TB disease or TB therapy. Annual totals 2010–2022 range from 769 to 944.
    Excerpt
    “"In 2022, the most recent year for which death data are available, 858 deaths were reported by TB programs. … Of 858 deaths, 349 (41%) were related to TB disease or TB therapy. … Among 2022 deaths, 246 (29%) were among persons who were dead at diagnosis and 612 (71%) were among persons who died after diagnosis." ”
    Source data from
    2024-10-24
    Accessed
    2026-04-11 · archived copy
    Calculation
    CDC reports ~858 deaths per year among US persons with TB in 2022 but classifies only ~349 (41%) as actually caused by TB disease or therapy. Against a US population of ~335 million, the TB-attributed figure is ~1.0 × 10⁻⁶ per year — roughly 1 in a million per year, or ~6 × 10⁻⁵ (1 in ~16,000) compounded over 60 adult years. That is approximately 150 times lower than the global average and is the basis for the “US / Western Europe / Japan” row in the regional breakdown.
    Independence
    CDC US TB surveillance is a completely separate data pipeline from both WHO programmatic estimates and IHME’s GBD model. It is used here solely as the non-endemic anchor and is not in the triangulation of the global 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