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Health · reviewed 2026-04-19

What are the odds of experiencing infertility when trying to conceive?

Evidence quality 5.0/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 5.0/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 5.7

18% lifetime chance

Most people underestimate this.

range 1 in 7.9 to 1 in 4.4

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 1.5 1 in 9.5

● your factors — click this risk ▾ to reveal

≈ As likely as

Two overlapping circles in muted tones against a pale background, one slightly incomplete, flat vector illustration.

Perceived

Most couples approaching conception assume it will happen within a few months. Surveys consistently find low-to-moderate fertility awareness among reproductive-age adults: university students overestimate the length of the fertile window, underestimate the effect of age, and fewer than half of people surveyed regard infertility as a medical condition. A 2018 systematic review of fertility-awareness studies found that participants across multiple countries reported "inadequate fertility awareness concerning fertility, infertility risk factors, and consequences of delaying childbearing." The default mental model is that conception is easy and infertility is rare — a significant underestimate of the actual prevalence.

Rough estimate: Most couples assume conception will happen quickly; fewer than half consider infertility a medical condition

Source: BMC Public Health (Pedro et al.) (2018) — What do people know about fertility? A systematic review on fertility awareness and its associated factors

Actual

~1 in 6 couples (17.5% lifetime prevalence)

reproductive-age couples globally, 12-month definition

Show derivation

Uses the WHO 2023 pooled lifetime prevalence estimate of 17.5% for 12-month infertility, drawn from Cox et al. (2022) systematic review of 133 studies spanning 1990-2021. The figure represents the proportion of reproductive-age people who have ever experienced 12 months of unprotected intercourse without conceiving. Period prevalence (at any given time) is lower at 12.6%. The WHO report found limited variation by income level: 17.8% in high-income countries vs 16.5% in low- and middle-income countries. US-specific data from the 2015-2019 NSFG gives 8.7% infertility among married women 15-44 using a stricter current-status definition, and 13.4% impaired fecundity among all women 15-49. The WHO lifetime figure of 17.5% is used as the headline because it captures the cumulative probability a couple will face this outcome across their reproductive years.

Caveats: The headline 17.5% is a lifetime prevalence — the proportion of reproductive-age…

The headline 17.5% is a lifetime prevalence — the proportion of reproductive-age people who will ever experience 12 months of unprotected intercourse without conceiving. Many of these couples eventually conceive without treatment (subfertility is not sterility). The 12-month clinical definition does not distinguish temporary from permanent infertility. Age-specific figures in the regional breakdown refer to the probability of not conceiving within 12 months at that age; they are not additive across ages. Male factor data are underrepresented in population surveys because most historical studies defined infertility through female respondents only. IVF success rates are not included in the headline probability — they describe treatment outcomes, not population prevalence.

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
Female age under 30 1 in 6.7 ~85% conceive within 12 months; ~15% meet the 12-month infertility definition
Female age 30 1 in 4.0 ~75% conceive within 12 months; probability of infertility rises to ~25%
Female age 35 1 in 2.9 ~66% conceive within 12 months; ACOG recommends evaluation after 6 months at this age
Female age 38 1 in 2.3 Accelerating decline; roughly 56% conceive within 12 months
Female age 40 1 in 1.8 ~44% conceive within 12 months; ACOG recommends immediate evaluation
Female age 43+ 1 in 1.4 Fewer than 1 in 3 conceive within 12 months; egg quality and quantity sharply reduced

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Compare to:

About one in six couples of reproductive age will experience infertility, defined clinically as 12 months of unprotected intercourse without conception. The WHO’s 2023 report, drawing on a meta-analysis of 133 studies spanning three decades, put the global lifetime prevalence at 17.5% — a number that held remarkably steady across income levels (17.8% in high-income countries, 16.5% in low- and middle-income). The strongest single predictor is female age: before 30, roughly 85% of couples conceive within a year; by 35 that drops to 66%; by 40, to 44%. The decline is not linear — fecundability begins a gradual slide around age 32 and steepens sharply after 37, driven primarily by falling oocyte quality and quantity.

The perception gap runs in the underestimation direction. Surveys of reproductive-age adults consistently find that most people assume conception will happen quickly and do not consider infertility a medical condition — fewer than 38% of respondents in one international survey classified it as such. University students across multiple countries overestimate the fertile window, underestimate the age-related decline, and are largely unaware that the 12-month threshold even exists as a clinical definition. The result is that couples who do encounter difficulty tend to interpret it as an individual failure rather than a one-in-six population outcome. US-specific data from the 2015-2019 National Survey of Family Growth found 8.7% of married women aged 15-44 currently infertile and 13.4% of all women 15-49 with impaired fecundity — numbers that rose from the prior survey cycle.

Male factor is the under-discussed half. According to AUA/ASRM guidelines, a male factor is solely responsible in about 20% of infertile couples and contributory in another 30-40%, meaning roughly half of all infertility involves a male component. Yet population surveys have historically defined infertility through female respondents, and public discourse overwhelmingly frames it as a women’s health issue. The 2024 NHSR report was among the first US government publications to report male infertility prevalence alongside female: 11.4% of men aged 15-49 had some form of subfertility or nonsurgical sterility. Age affects male fertility too, though the curve is shallower — sperm quality declines gradually after 40, with longer time-to-pregnancy and modestly elevated miscarriage risk, but without the sharp cliff that oocyte depletion imposes on the female side.

17.5% of couples experience infertility. 42% of marriages end in divorce. One derails the family plan. The other derails the family. Both are more common than people admit at dinner parties.

Read more → ⇄ compare

About 1 in 6 couples experience infertility (17.5%). Miscarriage affects roughly 20% of recognized pregnancies. Both are far more common than most people realize, and both remain under-discussed.

Read more → ⇄ compare

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] Human Reproduction Open (Cox et al.) — Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis
    Infertility prevalence and the methods of estimation from 1990 to 2021: a systematic review and meta-analysis
    Statistic
    Pooled lifetime prevalence of 12-month infertility: 17.5%; period prevalence: 12.6%
    Excerpt
    “"Pooled estimates of lifetime and period prevalence of 12-month infertility were 17.5% and 12.6%, respectively, but this varied by study population and methodological approach." ”
    Source data from
    2022-11-12
    Accessed
    2026-04-19 · archived copy
    Calculation
    Systematic review and meta-analysis of 133 studies from 1990-2021. This is the evidence base underlying the WHO 2023 infertility report. Lifetime prevalence 17.5% (1 in ~6) is used as the native estimate. Period prevalence 12.6% anchors the uncertainty low bound. Highest regional lifetime prevalence was 23.2% (Western Pacific), lowest 10.7% (Eastern Mediterranean). The denominator definition matters: period estimates among couples actively trying ranged from 9.4-32.0%.
    Independence
    This is the primary meta-analysis underpinning the WHO 2023 report. It synthesises data from 133 independent studies across all WHO regions.
  2. [2] World Health Organization — 1 in 6 people globally affected by infertility: WHO
    1 in 6 people globally affected by infertility: WHO
    Statistic
    Around 17.5% of the adult population — roughly 1 in 6 worldwide — experience infertility
    Excerpt
    “"Around 17.5% of the adult population – roughly 1 in 6 worldwide – experience infertility, showing the urgent need to increase access to affordable, high-quality fertility care for those in need." ”
    Source data from
    2023-04-04
    Accessed
    2026-04-19 · archived copy
    Calculation
    WHO policy report summarising the Cox et al. 2022 systematic review. Confirms the 17.5% lifetime prevalence figure and notes limited variation between high-income (17.8%) and low- and middle-income countries (16.5%). Used as corroborating governmental source for the headline number.
    Independence
    Dependent on the Cox et al. systematic review — this is the policy translation of the same data, not an independent data source.
  3. [3] National Health Statistics Reports, No. 202 (Chandra & Copen) — Infertility and Impaired Fecundity in Women and Men in the United States, 2015-2019
    Infertility and Impaired Fecundity in Women and Men in the United States, 2015-2019
    Statistic
    8.7% of married women aged 15-44 were infertile; 13.4% of all women 15-49 had impaired fecundity
    Excerpt
    “"The percentage of married women ages 15-44 who were infertile rose from 2011-2015 (6.7%) to 2015-2019 (8.7%). Among all women, 13.4% of women ages 15-49 and 15.4% of women ages 25-49 had impaired fecundity in 2015-2019." ”
    Source data from
    2024-04-24
    Accessed
    2026-04-19 · archived copy
    Calculation
    US-specific data from the National Survey of Family Growth (NSFG), 2015-2019 cycle. Uses a stricter current-status definition: married women currently in 12+ months of unprotected intercourse without conception. The 8.7% married-women figure is lower than the WHO lifetime figure because it captures point-in-time prevalence among a specific subgroup, not cumulative lifetime experience. Impaired fecundity (13.4%) is a broader measure including difficulty carrying to term.
    Independence
    Entirely independent US household survey data (NSFG), separate from the WHO meta-analysis which pooled international studies.
  4. [4] American College of Obstetricians and Gynecologists — Female age-related fertility decline. Committee Opinion No. 589
    Female age-related fertility decline. Committee Opinion No. 589
    Statistic
    Fecundity decreases gradually but significantly beginning at age 32 and more rapidly after age 37
    Excerpt
    “"The fecundity of women decreases gradually but significantly beginning approximately at age 32 years and decreases more rapidly after age 37 years." ”
    Source data from
    2014-03-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    ACOG Committee Opinion providing the clinical framework for age-related fertility decline. Sourced the age-specific conception probabilities used in the regional breakdown: ~85% within 12 months before age 30, ~75% at 30, ~66% at 35, ~44% at 40. Updated in 2025 by a newer Committee Statement but the underlying age curve remains unchanged.
    Independence
    Clinical practice guideline synthesising multiple reproductive biology studies. Independent of the WHO meta-analysis and NSFG survey, though drawing from some of the same underlying literature on age and fecundability.

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