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Kids · reviewed 2026-04-19

What are the odds of developing postpartum depression?

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

Lifetime probability · lifetime, subgroup

1 in 4.8

21% lifetime chance

Most people underestimate this.

range 1 in 7.7 to 1 in 3.3

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

≈ As likely as

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.

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 average (PRAMS, per delivery) 1 in 7.6 CDC Vital Signs 2020, self-reported depressive symptoms via PHQ-2
First-time mothers 1 in 6.7 Slightly elevated risk for primiparous women; estimates range 14-17%
Mothers with prior depression history 1 in 3.0 Approximately 1 in 3 women with prior depressive episodes develop PPD
Fathers (paternal PPD) 1 in 12 Cameron et al. 2016 meta-analysis; 8.4% across 74 studies
Low- and middle-income countries 1 in 4.0 JAMA Psychiatry 2023 meta-analysis; ~1 in 4 perinatal women

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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. Nearly 60% of women with depressive symptoms never receive a formal diagnosis, and about half of those diagnosed receive no treatment. 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 roughly triples the per-delivery risk. 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.

  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 Woody 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 (Woody 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
    Economic and Health Predictors of National Postpartum Depression Prevalence: A Systematic Review, Meta-analysis, and Meta-Regression of 291 Studies from 56 Countries
    Statistic
    Overall pooled prevalence of postpartum depression: 17.22% (95% CI 16.00-18.47) across 291 studies from 56 countries
    Excerpt
    “"The overall pooled prevalence was 17.22% (95% CI 16.00-18.47). Prevalence varied from 3% in Singapore to 38% in Chile. Higher national prevalence was significantly predicted by greater income inequality, lower GDP, and lower maternal health indicators." ”
    Source data from
    2017-11-20
    Accessed
    2026-04-19 · archived copy
    Calculation
    Woody et al. 2017 is the largest meta-analysis to date on PPD prevalence, covering 291 studies across 56 countries. The 17.2% 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] Journal of Affective Disorders (Cameron et al.) — Prevalence of paternal depression in pregnancy and the postpartum: An updated meta-analysis
    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
    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 Woody et al., which study maternal depression exclusively.

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