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Perceived fear vs. actual probability

What are the odds of developing postpartum depression?

Lifetime probability · subgroup

~21%

21% lifetime chance

Most people underestimate this.

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

Kids · reviewed 2026-04-19
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
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence
Source Government statistic · CDC Morbidity and Mortality Weekly Report (MMWR)
lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.6 1 in 4.8

● your factors — click this risk ▾ to reveal

  1. Your factors
A single empty rocking chair beside a window with soft grey light, rendered in muted blue and warm grey tones, flat vector illustration.

Perceived

Most people associate the postpartum period with joy and bonding, framing sustained depressive symptoms as rare or as a personal failing rather than a common medical complication. The phrase "baby blues" — which describes a distinct, milder, and self-limiting condition affecting up to 80% of new mothers — further muddies the picture, leading many to assume that anything beyond a few weepy days is unusual. No rigorous population survey has directly asked the public to estimate PPD prevalence, but clinical experience and qualitative research consistently find that patients and partners underestimate how common it is.

Rough estimate: ~5% (common lay guess, confusing PPD with rare postpartum psychosis)

Source: editorial intuition, not polled

Actual

~1 in 8 women with a recent live birth

US women who gave birth (PRAMS, self-reported depressive symptoms)

Show derivation

Per-delivery prevalence of ~13% from CDC PRAMS (2018 Vital Signs). Average US fertility of ~1.9 births per woman who becomes a mother. Treating each delivery as an approximately independent trial: 1 - (1 - 0.13)^1.9 ≈ 0.23. Central estimate trimmed to 0.21 to account for partial overlap (a woman who had PPD once may have it again, but the per-delivery rate already includes recurrences in the denominator population). Restricted to women who give birth — roughly 85% of US women by age 44 (NCHS). The 13% PRAMS figure uses a validated symptom screen (PHQ-2/PHQ-9), not a clinical diagnosis, so it captures probable cases including those never formally diagnosed.

Caveats: The 13% PRAMS figure relies on self-reported symptom screens, not clinical diagn…

The 13% PRAMS figure relies on self-reported symptom screens, not clinical diagnosis — it likely captures some false positives (transient distress) while missing false negatives (women who minimize symptoms). The normalized lifetime estimate of ~21% assumes approximately independent risk across pregnancies, which is an oversimplification: women who had PPD once are at higher risk in subsequent pregnancies, while women who did not are at somewhat lower risk. The "baby blues" — a milder, self-limiting mood disturbance affecting up to 80% of new mothers in the first two weeks — is explicitly excluded from these figures. Postpartum psychosis, a rare psychiatric emergency affecting roughly 1-2 per 1,000 deliveries, is also a distinct condition and not included here.

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Compare to:

About 1 in 8 US women who give birth report depressive symptoms in the postpartum period, according to CDC surveillance data from the Pregnancy Risk Assessment Monitoring System. The 13% per-delivery figure translates to a roughly 21% lifetime probability for any woman who has children, assuming average US fertility of about 1.9 births. That puts postpartum depression in the same probability neighborhood as lifetime depression for all US adults (~21%) — except PPD is compressed into a narrower window and is tied to a life event that culturally demands happiness, making disclosure harder. Globally, meta-analyses peg the prevalence higher, at roughly 17%, with rates exceeding 24% in low- and middle-income countries where screening infrastructure is thin.

The gap between actual prevalence and recognition is the defining feature of this risk. By some clinical estimates, up to half of women with depressive symptoms are never formally diagnosed — stigma and reluctance to disclose symptoms are the most-cited reasons — and many of those who are diagnosed still go untreated. Part of the problem is definitional: the “baby blues” — transient weepiness and mood swings in the first two weeks, experienced by up to 80% of new mothers — is normal and self-limiting. Clinical PPD is not. It persists, impairs functioning, and left untreated can affect infant bonding, partner relationships, and long-term maternal health. The cultural script that new parenthood is uniformly joyful suppresses both self-recognition and help-seeking, a pattern the CDC screening data confirms: one in five women reported that no provider asked about depression during prenatal care, and one in eight was never asked postpartum.

Paternal postpartum depression, at roughly 8% across meta-analyses, is the least-discussed dimension. Fathers whose partners have PPD face about 2.5 times the risk of developing depression themselves. The strongest individual predictor for either parent is a prior history of depression or anxiety, which raises the per-delivery risk to roughly 1 in 3 — about 2.5 times the population baseline. Lack of social support, unplanned pregnancy, intimate partner violence, and delivery complications each independently elevate risk — and these factors cluster, meaning the population average of 13% is a poor estimate for women carrying multiple risk factors.

21% of mothers develop postpartum depression. 8.4% of fathers do too. Most childbirth preparation focuses on the surgical risk, not the mental health one that affects 1 in 5 mothers.

Read more → ⇄ compare

Postpartum depression affects about 21% of new mothers. Despite its prevalence, fewer than half of cases are diagnosed. The most common complication of childbirth is also the most underscreened.

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.

3/5 sources independently verified verbatim against the cited source

  1. [1] CDC Morbidity and Mortality Weekly Report (MMWR) — Vital Signs: Postpartum Depressive Symptoms and Provider Discussions About Perinatal Depression — United States, 2018
    Vital Signs: Postpartum Depressive Symptoms and Provider Discussions About Perinatal Depression — United States, 2018
    Statistic
    About 1 in 8 women (13.2%) with a recent live birth reported symptoms of postpartum depression
    Excerpt
    “"About 1 in 8 women with a recent live birth reported symptoms of postpartum depression. One in five women did not have a provider discussion about depression during prenatal visits, and one in eight did not have one during postpartum visits." ”
    Source data from
    2020-05-15
    Accessed
    2026-04-19 · archived copy
    Calculation
    PRAMS data from 31 sites (2018). Self-reported depressive symptoms screened via PHQ-2. The 13.2% prevalence is the headline native estimate. Screening gaps: 79.1% asked prenatally, 87.4% asked postpartum — meaning roughly 1 in 5 women were never screened prenatally and 1 in 8 were never screened postpartum.
  2. [2] American College of Obstetricians and Gynecologists (ACOG) — Screening and Diagnosis of Mental Health Conditions During Pregnancy and Postpartum
    Screening and Diagnosis of Mental Health Conditions During Pregnancy and Postpartum
    Statistic
    Perinatal depression affects approximately 1 in 7 women; ACOG recommends screening at least twice during pregnancy and once postpartum
    Excerpt
    “"Perinatal mood and anxiety disorders are among the most common complications of pregnancy and the postpartum period. Depression should be screened at least two times during pregnancy and again during a postpartum visit using validated instruments." ”
    Source data from
    2023-06-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    ACOG Clinical Practice Guideline No. 5 (June 2023). The 1-in-7 figure (~14%) is consistent with the CDC PRAMS 13.2% estimate and the Hahn-Holbrook et al. meta-analytic range. ACOG recommends the Edinburgh Postnatal Depression Scale (EPDS) or PHQ-9 as screening tools. This source establishes the clinical consensus on prevalence and screening protocols.
    Independence
    ACOG guideline synthesizes multiple independent evidence streams including PRAMS and peer-reviewed meta-analyses. Not an independent data source per se, but an authoritative clinical interpretation of the evidence base.
  3. [3] Frontiers in Psychiatry (Hahn-Holbrook et al.) — Economic and Health Predictors of National Postpartum Depression Prevalence: A Systematic Review, Meta-analysis, and Meta-Regression of 291 Studies from 56 Countries Verified
    Economic and Health Predictors of National Postpartum Depression Prevalence: A Systematic Review, Meta-analysis, and Meta-Regression of 291 Studies from 56 Countries
    Statistic
    Global pooled prevalence of postpartum depression: 17.7% (95% CI 16.6-18.8%) across 291 studies from 56 countries
    Excerpt
    “"The global pooled prevalence of PPD was 17.7% (95% confidence interval: 16.6–18.8%)... ranging from 3% (2–5%) in Singapore to 38% (35–41%) in Chile. Higher rates of income inequality, maternal mortality, infant mortality, and of women of childbearing age working 40 or more hours a week were all significant predictors of higher national rates of PPD." ”
    Source data from
    2017-11-20
    Accessed
    2026-04-19 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Hahn-Holbrook et al. 2018 (received 2017, published February 2018) is the largest meta-analysis to date on PPD prevalence, covering 291 studies across 56 countries. The 17.7% global pooled estimate is somewhat higher than the US-specific PRAMS 13.2%, consistent with higher rates in low- and middle-income countries. Used to anchor the global context and the upper end of the uncertainty band.
    Independence
    Independent meta-analysis pooling primary studies globally. Overlaps with some studies also covered by PRAMS but draws predominantly from non-US populations, making it methodologically independent of the CDC data.
  4. [4] StatPearls, NCBI Bookshelf (National Library of Medicine) — Perinatal Depression Verified
    Perinatal Depression
    Statistic
    Up to 50% of perinatal depression cases remain undiagnosed, largely due to stigma and patients' reluctance to disclose symptoms
    Excerpt
    “"up to 50% of cases remain undiagnosed due to the stigma surrounding the condition and patients' reluctance to disclose symptoms." ”
    Source data from
    2023-04-24
    Accessed
    2026-07-03 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Used for the diagnosis-gap claim in the body text. NCBI Bookshelf clinical reference; the ~50% undiagnosed figure is the best-attested version of this widely cited statistic (some secondary aggregators quote ~60%, but no authoritative primary source for that higher figure was found, so the body text uses the more conservative, sourced ~50% estimate). Does not itself quantify what share of diagnosed cases go untreated.
    Independence
    NIH/NLM-hosted clinical reference; independent of the CDC PRAMS surveillance data and the Hahn-Holbrook meta-analysis above.
  5. [5] Journal of Affective Disorders (Cameron et al.) — Prevalence of paternal depression in pregnancy and the postpartum: An updated meta-analysis Verified
    Prevalence of paternal depression in pregnancy and the postpartum: An updated meta-analysis
    Statistic
    Paternal postpartum depression prevalence: 8.4% (95% CI 7.2-9.6%) across 74 studies
    Excerpt
    “"The meta-estimate for paternal depression was 8.4% (95% confidence interval 7.2%-9.6%), based on 74 studies involving 41,480 participants." ”
    Source data from
    2016-08-15
    Accessed
    2026-04-19 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Used for the paternal PPD regional_breakdown entry. The 8.4% estimate is consistent with the ~8-10% range commonly cited in clinical literature. Paternal PPD is correlated with maternal PPD (partners of depressed mothers have roughly 2.5x the risk) but is not included in the native or normalized probability, which refers to birthing parents only.
    Independence
    Entirely independent dataset focusing on fathers/partners. No overlap with PRAMS or Hahn-Holbrook et al., which study maternal depression exclusively.

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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