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Perceived fear vs. actual probability

What are the odds of a life-threatening complication during childbirth?

Lifetime probability · activity

~1 in 61

per US delivery (severe maternal morbidity)

1.6% lifetime chance

Most people underestimate this.

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

Kids · reviewed 2026-07-29
Evidence quality 4.88/5

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
5/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence
Source Peer-reviewed study · JAMA Network Open (Fink et al. 2023)
lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 12 1 in 61

● your factors — click this risk ▾ to reveal

  1. Your factors
A single heartbeat line on a monitor that dips sharply then steadies, drawn in muted tones, flat vector illustration.

Perceived

Public conversation about childbirth risk in high-income countries fixates on two poles: the reassuring fact that dying in childbirth is now rare, and the alarming individual stories that periodically go viral. What sits between them — the near-miss, where a delivery becomes genuinely life-threatening but the woman survives — is largely invisible. Clinicians track it as "severe maternal morbidity" (SMM), a defined set of unexpected outcomes of labor and delivery with serious short- or long-term health consequences, from hemorrhage requiring massive transfusion to eclampsia, sepsis, acute renal failure, and ICU admission. Because it does not usually end in death and rarely makes the news, most people substantially underestimate how often a birth crosses into that territory, and how much a pre-existing condition can raise the odds.

Rough estimate: Most people know maternal death is rare in the US but have no sense of the near-miss rate, which is more than 20 times higher

Source: editorial intuition, not polled

Actual

~163 in 10,000 (about 1 in 61) US delivery hospitalizations

US delivery hospitalizations

Show derivation

Point estimate anchored to the national unadjusted prevalence of any severe maternal morbidity, 163.3 per 10,000 delivery discharges averaged over 2008-2021 (Fink et al., JAMA Network Open 2023), which rose to 206.1 per 10,000 (~2.1%) by 2021. The figure that includes blood transfusion (the single most common SMM indicator) runs ~135-206 per 10,000 depending on year; excluding transfusion, the stricter "severe" subset was 79.7 per 10,000 in 2019 (~0.8%; Hirai et al., JAMA Network Open 2022). The uncertainty band spans that definitional range (0.008-0.021). This is a per-delivery figure. Because US women who give birth average roughly 1.9 deliveries, the cumulative per-woman probability of at least one SMM event is higher, on the order of 3%.

Caveats: Two definitional points determine the number. First, "severe maternal morbidity"…

Two definitional points determine the number. First, "severe maternal morbidity" is a near-miss category, not death: it captures unexpected serious outcomes of labor and delivery — hemorrhage needing massive transfusion, eclampsia, sepsis, acute renal or cardiac failure, ICU admission — that the woman almost always survives. US maternal death is roughly 20-30 per 100,000 births, more than an order of magnitude rarer than SMM. Second, the single most common SMM indicator is blood transfusion, which is sometimes precautionary rather than strictly life-saving. Including it, the rate is ~163 per 10,000 (the figure used here); excluding it, the stricter subset is ~80 per 10,000. Both are cited; the honest per-delivery answer depends on that choice, which is why the uncertainty band spans it. The rate has been rising in the US (from ~135 to ~206 per 10,000 between 2008 and 2021) and is markedly unequal: non-Hispanic Black women experience SMM at roughly roughly twice the rate of white women, a disparity only partly explained by differences in chronic conditions. The multipliers listed are not additive and not independent — a woman who is 40, has class III obesity, and develops preeclampsia does not simply multiply them out. They indicate direction and rough magnitude, not a personal total. Anemia entering delivery is a further real contributor to hemorrhage-related SMM but is harder to pin to a single multiplier and is omitted from the list rather than estimated. These figures are for high-income (US) settings; in low-resource settings both the SMM rate and the chance it progresses to death are substantially higher.

Related risks

Other risks on similar themes — for exploring related fears.

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Childbirth death (SSA)

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Preeclampsia

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Autism diagnosis

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Toy injury requiring ER (child)

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Child death (<18)

What are the odds of a child dying before age 18 in the US?

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Child swallows object (ER)

What are the odds a young child swallows a non-food object and needs medical care?

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Play swing & slide injury

What are the odds of a child being injured by common play activities like arm-swinging or going down a slide together?

Compare to:

Two facts about childbirth in the United States are both true and rarely held in the same hand. Dying in childbirth is rare — on the order of 20 to 30 per 100,000 births. And a birth crossing into life-threatening territory is not rare at all. Clinicians track the second as severe maternal morbidity: a defined set of unexpected, serious outcomes of labor and delivery, from hemorrhage requiring massive transfusion to eclampsia, sepsis, acute renal or cardiac failure, and unplanned ICU admission. The national rate of any such event is about 163 per 10,000 delivery hospitalizations, roughly 1 in 61, averaged across 2008 to 2021 — and it reached about 1 in 49 by 2021. That is more than twenty times the maternal death rate. The near-miss is the common case; death is the rare tail of it.

The single largest driver of where that number lands is a definitional one: blood transfusion is the most frequent of the standard indicators, and it is sometimes given as a precaution rather than as a rescue. Count it, and the rate is the ~163 per 10,000 used here; leave it out, and the stricter subset is about 80 per 10,000, or 1 in 125. Neither is wrong. The entry brackets both because the “true” per-delivery risk of a life-threatening complication genuinely depends on how strictly the word severe is drawn, and pretending otherwise would overstate the precision of the figure. What is not in dispute is the trend: SMM has climbed steadily as the population giving birth has grown older and carries more chronic conditions into pregnancy, and it falls roughly twice as heavily on non-Hispanic Black women as on white women.

The population figure is a starting point, not a personal one, and the modifiers are large. A hypertensive disorder is the clearest: preeclampsia raises the risk of severe maternal morbidity roughly fivefold, whether or not chronic hypertension is also present, while gestational hypertension without proteinuria raises it closer to twofold. Poorly controlled pre-existing diabetes, indexed by an elevated preconception A1c, roughly triples it. Having had a severe event in an earlier birth is associated with about a threefold higher chance of another. Age at 40 and above, and class III obesity, each add more modestly on their own. These do not stack by simple multiplication, and most of the biggest ones are exactly the conditions a high-risk pregnancy service is built to watch. The honest summary is that the odds of a birth becoming genuinely dangerous are low in absolute terms and much higher than the near-silence around them suggests — and that where the risk is elevated, it is usually elevated for reasons that are known in advance.

US childbirth is far more dangerous than its rare death rate suggests: about 1 in 61 deliveries brings a life-threatening "near-miss" complication — more than 20 times the maternal death rate. Even so, only ~8% of parents say they regret having children.

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] JAMA Network Open (Fink et al. 2023) — Trends in Maternal Mortality and Severe Maternal Morbidity During Delivery-Related Hospitalizations in the United States, 2008 to 2021
    Trends in Maternal Mortality and Severe Maternal Morbidity During Delivery-Related Hospitalizations in the United States, 2008 to 2021
    Statistic
    Unadjusted prevalence of any SMM was 163.3 per 10,000 discharges over 2008-2021, rising to 206.1 per 10,000 in 2021 from 135.2 per 10,000 in 2008
    Excerpt
    “"The unadjusted prevalence of any SMM was estimated to be 163.3 per 10 000 discharges for the overall sample from 2008 to 2021, with higher prevalence observed in 2021 (206.1 per 10 000 discharges) compared with 2008 (135.2 per 10 000 discharges)." ”
    Source data from
    2023-06-16
    Accessed
    2026-07-29
    Calculation
    163.3 per 10,000 = 1.63%, i.e. ~1 in 61 deliveries, the headline point estimate. This is "any SMM" and includes blood transfusion, the most common of the CDC's 21 indicators. The rise to 206.1 per 10,000 (~1 in 49) by 2021 sets the top of the uncertainty band. Death is a small fraction of this: SMM is defined as a near-miss, an unexpected serious outcome the woman generally survives.
    Independence
    National discharge-data trend study; uses a definition inclusive of transfusion, complementing the transfusion-excluded estimate below.
  2. [2] JAMA Network Open (Hirai et al. 2022) — Trends in Severe Maternal Morbidity in the US Across the Transition to ICD-10-CM/PCS From 2012-2019
    Trends in Severe Maternal Morbidity in the US Across the Transition to ICD-10-CM/PCS From 2012-2019
    Statistic
    National SMM rate excluding blood transfusion rose from 69.5 to 79.7 per 10,000 delivery hospitalizations between 2012 and 2019
    Excerpt
    “"SMM rates increased from 69.5 to 79.7 per 10 000 delivery hospitalizations" (excluding blood transfusion) between 2012 and 2019. ”
    Source data from
    2022-07-01
    Accessed
    2026-07-29
    Calculation
    79.7 per 10,000 = ~0.8%, the stricter transfusion-excluded rate and the floor of the uncertainty band. The gap between this and the 163/10,000 "any SMM" figure is almost entirely blood transfusion, which is why the entry brackets both rather than picking one — the honest per-delivery risk of a life-threatening event depends heavily on where transfusion is placed.
    Independence
    Same data infrastructure family but a distinct, transfusion-excluded case definition; used to bound the estimate from below.
  3. [3] JAMA Network Open (Gunderson et al. 2025) — Severe Maternal Morbidity Associated With Chronic Hypertension, Preeclampsia, and Gestational Hypertension
    Severe Maternal Morbidity Associated With Chronic Hypertension, Preeclampsia, and Gestational Hypertension
    Statistic
    Adjusted relative risk of SMM was 5.12 for preeclampsia without chronic hypertension, 4.97 for chronic hypertension with superimposed preeclampsia, and 1.78 for gestational hypertension, vs no hypertensive disorder
    Excerpt
    “"aRR, 4.97 [95% CI, 4.46-5.54]" (chronic hypertension with superimposed preeclampsia); "aRR, 5.12 [95% CI, 4.79-5.48]" (preeclampsia without chronic hypertension); "aRR, 1.78 [95% CI 1.60-1.99]" (gestational hypertension). ”
    Source data from
    2025-01-28
    Accessed
    2026-07-29
    Calculation
    Grounds the hypertensive-disorder multiplier. Preeclampsia (with or without chronic hypertension) raises SMM roughly fivefold; gestational hypertension without proteinuria, ~1.8-fold. Cohort of 263,518 pregnancies in an integrated California health system, 2009-2019.
    Independence
    Integrated-health-system cohort with individual clinical data, independent of the national discharge-trend studies above.
  4. [4] PLoS Medicine (Davidson et al. 2020) — Risk of severe maternal morbidity or death in relation to elevated hemoglobin A1c preconception, and in early pregnancy
    Risk of severe maternal morbidity or death in relation to elevated hemoglobin A1c preconception, and in early pregnancy
    Statistic
    Adjusted relative risk of severe maternal morbidity or death was 2.84 for preconception A1c >6.4% and 1.31 for A1c 5.8-6.4%, vs A1c <5.8%
    Excerpt
    “"The adjusted relative risk of severe maternal morbidity or death was 1.31 (95% CI 1.06-1.62) in those with a preconception A1c of 5.8%-6.4%, and 2.84 (95% CI 2.31-3.49) at an A1c >6.4%, each relative to an A1c <5.8%." ”
    Source data from
    2020-05-19
    Accessed
    2026-07-29
    Calculation
    Grounds the diabetes multiplier. Poorly controlled pre-existing (pregestational) diabetes, indexed by elevated preconception A1c, raises SMM-or-death roughly 2.8-fold; even mildly elevated A1c raises it ~1.3-fold. Population-based cohort.
    Independence
    Preconception A1c cohort; distinct exposure and outcome linkage from the sources above.

434 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Skipping care over ICE fear — 1 in 7.1 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.3 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 9.8 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Parent death/disability — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 26 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Dying without heir — 1 in 100 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 709 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 159 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Child nicotine-pouch ingestion — 1 in 7,937 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Crocodile attack — 1 in 337,838 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000
Lottery jackpot 1 in 95,238

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