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Likelier
Health · reviewed 2026-05-18

What are the odds of dying from secondhand smoke as a non-smoker?

Evidence quality 4.25/5

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
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.25/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 91

1.1% lifetime chance

Most people underestimate this.

range 1 in 167 to 1 in 59

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 36 1 in 455

● your factors — click this risk ▾ to reveal

≈ As likely as

Two faint wisps of pale grey smoke drifting across a minimalist domestic interior, flat vector illustration.

Perceived

Most adults in smoke-free countries correctly file secondhand smoke (SHS) as unhealthy, yet the quantitative mortality burden rarely registers. The mental model is vague — "it's bad for you" rather than "it kills tens of thousands of non-smokers in the US every year." The lifetime risk for a non-smoker at average current exposure levels sits in a range most people would guess is a tenth of what it actually is. The children's dimension is the most underappreciated part: childhood SHS exposure causes permanent reductions in lung development and elevated asthma risk that persist decades after the exposure ends, yet the causal chain is invisible compared to the acute symptoms that do prompt parental action (ear infections, wheezing). The visibility problem is compounded by the way tobacco harm is communicated — almost all of the public-health messaging targets the smoker, leaving non-smokers with a strong but poorly calibrated sense that the danger falls mainly on the person who lights up.

Rough estimate: Most adults strongly underestimate how many non-smokers die from SHS annually, and are largely unaware of the permanent lung impairment it causes in children

Source: editorial intuition, not polled

Actual

~41,000 non-smoking US adults die from secondhand smoke annually

US non-smoking adults, current average SHS exposure levels

Show derivation

CDC attributes >41,000 non-smoker deaths per year to secondhand smoke in the US: ~7,300 from lung cancer and ~33,950 from ischaemic heart disease, plus ~400 infant deaths. The US non-smoking adult population is approximately 225 million (roughly 87% of ~260 million US adults, given a current-smoker prevalence of ~12.5%). Annual attributable mortality rate: 41,000 / 225,000,000 ≈ 1.82 × 10⁻⁴ per adult per year. Compounded over 60 years of adult life: 1 − (1 − 1.82e-4)^60 ≈ 0.011, or roughly 1 in 91. This figure reflects average population-level SHS exposure under current indoor smoking ban regimes and is not the risk for a heavily exposed subgroup such as someone who lived with a smoking spouse for decades and worked in a smoking-permitted venue. Exposure has fallen substantially since the 1980s following widespread adoption of smoke-free laws; the 1-in-91 figure reflects post-ban conditions. Uncertainty band 0.006–0.017 captures uncertainty in the attributable-fraction methodology (SAMMEC model using population-attributable fractions rather than direct observation) and in the distribution of actual SHS exposure intensities across the non-smoking population.

Caveats: This entry covers mortality risk to non-smokers from passive SHS exposure, not t…

This entry covers mortality risk to non-smokers from passive SHS exposure, not the broader morbidity burden (non-fatal respiratory disease, childhood ear infections, asthma exacerbations, cognitive development effects). The headline figure (~1 in 91 lifetime) is a population average across current US exposure levels and obscures wide variation: someone who has lived with an indoor smoker for decades faces meaningfully higher risk than someone in a fully smoke-free environment. The 41,000 annual US SHS deaths figure is derived from the SAMMEC attributable-fraction model and is not directly observed from death certificates, which do not record SHS exposure status; the methodology carries substantial uncertainty and plausible estimates range from ~25,000 to ~60,000 depending on methodological choices. The children's permanent lung-impairment dimension is not captured in the point estimate — it raises adult susceptibility multiplicatively rather than adding a discrete mortality increment. SHS exposure has fallen substantially in the US since the 1980s following indoor smoking bans; the current 41,000 figure reflects post-ban conditions and would have been higher in earlier decades. The entry does not separately address children's mortality from SHS-attributable SIDS (covered in the SIDS entry) or acute lower respiratory infections, which are more concentrated in low-income countries per Öberg et al.

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
US adult non-smoker, average current SHS exposure 1 in 91 Headline. 41,000 annual attributable deaths / ~225M non-smoking adults, compounded 60 years.
Non-smoker with current-smoking household member (indoor) 1 in 33 Home is the dominant SHS exposure route; a smoking spouse or housemate multiplies cotinine levels 2-3x vs population average, consistent with the ~20-30% lung cancer relative risk elevation for non-smoking spouses documented in Surgeon General 2006 and the Hackshaw meta-analysis
Non-smoker in fully smoke-free environment (home, work, social) 1 in 500 Residual risk from incidental outdoor and transitional exposure; reflects the post-ban floor, not zero
Adult raised in household with ≥1 indoor smoker throughout childhood 1 in 63 Childhood SHS adds a permanent lung-function deficit that raises adult susceptibility; this row reflects the upward shift for someone with a childhood SHS history, in addition to any current adult exposure

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Compare to:

The CDC attributes more than 41,000 non-smoker deaths per year in the United States to secondhand smoke — roughly 7,300 from lung cancer and 33,950 from heart disease, plus around 400 infant deaths. Spread across approximately 225 million non-smoking US adults and compounded over a 60-year adult lifespan, the lifetime attributable mortality for a non-smoker at average current exposure levels works out to roughly 1 in 91. The WHO global figure anchors the same order of magnitude from an independent direction: approximately 1.6 million non-smokers die from secondhand smoke worldwide each year, representing about 1% of total global mortality per Öberg et al.’s 2011 Lancet analysis of 192 countries. Both figures are substantially above the intuitive estimate most people carry. The mental model asymmetry runs in a consistent direction: people correctly file secondhand smoke as dangerous, but the quantitative weight they assign is typically a fraction of the actual figure — closer to “occasional nuisance” than “kills roughly as many Americans per year as firearm homicides.”

The children’s dimension is the part of the SHS literature that most consistently goes unregistered. Secondhand smoke exposure during childhood causes permanent structural changes in the lungs: cohort data from the CARDIA study and Gilliland et al. (2001) document FEV1 deficits of 2–4% persisting to age 21 in adults raised with smoking parents, even after controlling for adult smoking status, current residence, and socioeconomic factors. These are not transient irritation effects — the airway geometry is set during development, and what the smoke compresses during the years of lung growth is not fully recovered in adulthood. The downstream consequences are an elevated lifetime asthma prevalence (roughly 20–35% higher in children with SHS-exposed childhoods), higher susceptibility to respiratory infections across the lifespan, and an increased baseline for the SHS-attributable cancer and cardiovascular risk captured in this entry’s point estimate. The infant SIDS risk associated with prenatal and postnatal SHS exposure (2–4x baseline in households with smoking) is the acute end of the same mechanism: impaired lung development increases vulnerability to hypoxic events in the first year of life. Globally, Öberg et al. estimated 165,000 child deaths under age 5 per year from lower respiratory infections attributable to SHS — a figure concentrated in low- and middle-income countries where indoor cooking fire co-exposure amplifies the burden, but the biological mechanism operates regardless of geography.

The policy context matters for interpreting the headline number. The 41,000 US figure reflects the post-ban era: indoor public smoking restrictions adopted across most US states from the mid-1990s onward have substantially reduced non-smoker exposure in workplaces, restaurants, and bars, and are estimated to have prevented tens of thousands of SHS deaths per year. The home remains the dominant residual exposure route — cotinine measurements in non-smoking adults consistently show that living with an indoor smoker is associated with SHS exposure levels comparable to pre-ban workplaces. For the roughly 25–30 million US non-smokers who share a home with a current smoker, the relevant risk sits meaningfully above the population-average headline. The entry is tagged underrated not because the hazard is unrecognized at a qualitative level — most people know SHS is bad — but because the numeric gap between “I know it’s bad” and “the lifetime risk is 1 in 91 even today, and significantly higher if you or your children were regularly exposed at home” is large enough to warrant explicit calibration.

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] US Centers for Disease Control and Prevention — About Smoking and Tobacco Use
    About Smoking and Tobacco Use

    See all 2 Likelier entries citing this source →

    Statistic
    SHS contributes to >41,000 non-smoker adult deaths and ~400 infant deaths per year in the US; >480,000 total smoking-related deaths including SHS
    Excerpt
    “"Smoking and secondhand smoke exposure cause more than 480,000 deaths each year in the United States. This is nearly one in five deaths. [...] Secondhand smoke exposure contributes to over 40,000 deaths among nonsmoking adults and 400 deaths in infants each year." ”
    Source data from
    2024-05-15
    Accessed
    2026-04-11 · archived copy
    Calculation
    41,000 non-smoker adult deaths per year is the primary domestic headline figure and the numerator for the normalized calculation. US non-smoking adult population denominator: ~225 million (87% of ~260M US adults). Annual attributable rate: 41,000 / 225M = 1.82e-4. Compounded over 60 adult years: 1 − (1 − 1.82e-4)^60 ≈ 0.011. The CDC does not directly report the lung cancer / heart disease breakdown on this page; the ~7,300 lung cancer and ~33,950 heart disease sub-totals appear in the CDC's dedicated SHS resource pages and the 2006 Surgeon General Report on involuntary tobacco smoke exposure.
    Independence
    CDC SAMMEC (Smoking-Attributable Mortality, Morbidity, and Economic Costs) model draws on Cancer Prevention Study II hazard ratios and NHANES SHS exposure data — methodologically overlapping with the 2006 Surgeon General Report, which uses the same underlying cohort hazard ratios. Treat as institutional confirmation of the same underlying estimate rather than a fully independent line of evidence.
  2. [2] World Health Organization — Tobacco — fact sheet
    Tobacco — fact sheet

    See all 2 Likelier entries citing this source →

    Statistic
    SHS kills ~1.6 million non-smokers globally per year; no safe level of SHS exposure exists
    Excerpt
    “"Tobacco kills more than 7 million people each year, including an estimated 1.6 million non-smokers who are exposed to second-hand smoke." ”
    Source data from
    2025-07-31
    Accessed
    2026-04-11 · archived copy
    Calculation
    The WHO 1.6 million non-smoker SHS deaths globally provides the international anchor and cross-check. Scaling naively to the US by population share (~4.2M of 57M global deaths) would imply ~118,000 US SHS deaths, higher than the CDC's 41,000. The gap primarily reflects: (a) the WHO/IHME figure includes lower-income regions where indoor solid-fuel cooking fire co-exposure substantially inflates the SHS burden; (b) CDC's SAMMEC model uses a more conservative attributable-fraction method. The US CDC figure is used for the normalized headline as more relevant to a US adult in a post-ban environment.
    Independence
    WHO draws on IHME Global Burden of Disease estimates using a different exposure-prevalence and relative-risk framework than CDC SAMMEC. The two-to-three-fold difference in implied US figures is a genuine methodological disagreement, not a simple error; it is reflected in the wide uncertainty band.
  3. [3] The Lancet (Öberg M, Jaakkola MS, Woodward A, Peruga A, Prüss-Ustün A) — Worldwide burden of disease from exposure to second-hand smoke: a retrospective analysis of data from 192 countries
    Worldwide burden of disease from exposure to second-hand smoke: a retrospective analysis of data from 192 countries
    Statistic
    ~600,000 global deaths/year from SHS (2004 data); 165,000 children under 5 from lower respiratory infections; SHS accounts for ~1% of worldwide mortality
    Excerpt
    “[Paraphrase from abstract — full text paywalled] In 2004, SHS caused approximately 379,000 deaths from ischaemic heart disease, 165,000 from lower respiratory infections (mainly in children under 5), 36,900 from asthma, and 21,400 from lung cancer. SHS accounted for about 1% of worldwide mortality. The greatest child burden was 165,000 deaths from lower respiratory infections, concentrated in low-income countries. ”
    Source data from
    2011-01-08
    Accessed
    2026-05-18 · archived copy
    Calculation
    Öberg et al. 2011 is the most comprehensive independent global burden estimate and provides the strongest peer-reviewed anchor for both the adult and child mortality dimensions. The 165,000 child deaths from lower respiratory infections (concentrated in low- and middle-income countries with high indoor SHS from cooking and heating) is the key quantitative evidence base for the children's mortality dimension, distinct from the US-centric CDC estimate. The global ischaemic heart disease figure (379,000 / ~600,000 total ≈ 63% cardiovascular) is broadly consistent with the CDC's US breakdown (~83% heart disease), validating the mechanism framing. The 21,400 lung cancer figure as a fraction of total deaths (~3.6%) is lower than the US proportion (~18%), reflecting differential tobacco exposure histories and cancer screening rates across the 192 countries.
    Independence
    Öberg et al. use WHO global SHS exposure prevalence data combined with meta-analytic relative risks from the epidemiological literature; the analytic framework is independent of the CDC SAMMEC model and the WHO fact-sheet figure (which draws on the same IHME GBD pipeline as Öberg). The child lower-respiratory-infection mortality component is the most methodologically distinct from the US adult estimates and is not derived from the CPS-II cohort.

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