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Other · reviewed 2026-04-19

What are the odds of not having enough money to retire comfortably?

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
4/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 2.6

39% lifetime chance

range 1 in 3.3 to 1 in 1.8

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.0 1 in 6.4

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≈ As likely as

A half-empty hourglass beside a small coin stack, muted grey and amber tones, flat vector illustration.

Perceived

Retirement savings adequacy is the single most persistent financial anxiety in American consumer surveys. Gallup has tracked it for over two decades, and it has ranked first or second among financial worries in every year measured. As of April 2025, 59% of Americans report worrying about not having enough money for retirement, with 71% of nonretired adults at least moderately worried and 42% very worried. Among lower-income nonretirees, a record-high 88% express worry. The fear is not irrational panic — it tracks a real gap — but it is amplified by round-number savings targets (e.g., "$1 million") that may overstate the need for many households, and by media coverage that emphasizes averages (skewed by high savers) rather than medians.

Rough estimate: ~60% of Americans worried

Source: Gallup (2025) — Americans' Financial Worries

Actual

~39% of working-age households at risk (NRRI 2022 SCF)

US working-age households (2022 SCF)

Show derivation

The National Retirement Risk Index (NRRI) from the Center for Retirement Research at Boston College, updated with 2022 Survey of Consumer Finances data, finds that 39% of working-age households are "at risk" of being unable to maintain their pre-retirement standard of living even if they work to age 65 and annuitize all assets including home equity via a reverse mortgage. This 39% is the NRRI's lowest reading since inception in 2004 (down from 47% in 2019), driven largely by soaring home prices (+22% real, 2019-2022). Because the NRRI assumes households take a reverse mortgage — something fewer than 2% actually do — the 39% figure is best understood as a lower-bound estimate. Without the home equity assumption, the share at risk rises to roughly 50%. The central estimate of 0.39 uses the published NRRI with home equity included; uncertainty brackets the range from the optimistic NRRI reading to the more realistic scenario excluding home equity and accounting for the fact that the 2022 SCF captured a historically unusual housing boom.

Caveats: The 39% NRRI figure uses a specific definition of "shortfall" — falling more tha…

The 39% NRRI figure uses a specific definition of "shortfall" — falling more than 10% below a target replacement rate derived from pre-retirement spending. It assumes households work to 65 and take a reverse mortgage, which almost nobody actually does. Without the reverse-mortgage assumption, the share at risk rises to roughly 50%. The NRRI also captured a historically unusual moment: the 2022 SCF reflected peak pandemic-era home prices and stock market gains. The improvement from 47% to 39% may not persist. "Comfortable retirement" is inherently subjective — research consistently shows that spending declines 5-15% in the first few years of retirement and continues declining with age, meaning many households that look "at risk" by pre-retirement spending standards may adapt successfully. Social Security provides a floor that prevents destitution for most Americans, replacing 36-40% of pre-retirement earnings for average workers. The fear is overrated for high earners (who have substantial buffers even if below benchmarks) and underrated for low earners (who have the smallest savings AND the least awareness of the problem).

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
Bottom income third 1 in 1.8 Low-income households have the least savings and highest NRRI risk; many rely almost entirely on Social Security
Middle income third 1 in 2.5 Middle-income households are the core of the NRRI shortfall — enough income to expect a standard of living above Social Security, not enough savings to fund it
Top income third 1 in 5.0 High earners are less likely to fall short in absolute terms, but the NRRI still finds ~20% at risk, often due to high pre-retirement spending and low savings rates relative to income

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Compare to:

About 39% of US working-age households are on track to fall short of maintaining their pre-retirement standard of living, according to the National Retirement Risk Index from the Center for Retirement Research at Boston College. That figure — updated with 2022 Survey of Consumer Finances data — is actually the lowest reading since the NRRI began in 2004, down from 47% in 2019. The improvement was driven almost entirely by soaring home prices (+22% in real terms between 2019 and 2022), not by a surge in savings behavior. And the NRRI assumes households tap their home equity through a reverse mortgage at retirement — something fewer than 2% actually do. Drop that assumption and the share at risk climbs back toward 50%.

The perception roughly matches the reality, which is unusual for this site. Gallup’s long-running financial worry tracker finds that 59% of Americans worry about not having enough for retirement, with 71% of nonretired adults at least moderately worried. The EBRI Retirement Confidence Survey tells a similar story from the other direction: 67% of workers say they are confident they will have enough, leaving 33% not confident. The gap between the NRRI’s 39% “at risk” and EBRI’s 33% “not confident” hints at a troubling asymmetry: some at-risk households do not know they are at risk.

The raw savings numbers make the gap concrete. The Federal Reserve’s 2022 SCF puts the median retirement account balance for households aged 55-64 at roughly $185,000. Fidelity’s widely cited guideline calls for 10x annual salary by age 67. With median household income around $80,000, that target is approximately $800,000. The gap between $185,000 and $800,000 looks catastrophic — but the Fidelity benchmark assumes savings alone should replace 45% of income, on top of Social Security. For a median earner, Social Security already replaces 36-40% of pre-retirement earnings, and household spending typically declines 5-15% in the first years of retirement as commuting, work clothing, payroll taxes, and mortgage payments fall away. The $800,000 target is conservative by design; many households with paid-off homes and modest lifestyles can maintain their standard of living with substantially less.

None of this means the problem is imaginary. The 2025 Social Security Trustees Report projects that the Old-Age and Survivors Insurance trust fund will be depleted by 2033, after which ongoing payroll tax revenue would cover only 77% of scheduled benefits. A 23% benefit cut would push the NRRI’s share “at risk” up by an estimated 5-10 percentage points. The households most exposed are those in the bottom income third, who rely on Social Security for the vast majority of their retirement income and have median retirement savings close to zero.

The distribution matters more than the average. High earners who save even modestly through employer plans are unlikely to face destitution. Low earners without access to a 401(k) — roughly half of private-sector workers at any given time lack an employer plan — face a genuine risk of a sharp living-standard decline. The fear is calibrated at the population level but poorly calibrated at the individual level: overrated for the anxious upper-middle class reading personal-finance blogs, underrated for the lower-income workers who rarely engage with retirement planning at all.

39% of retirees face a savings shortfall. 4% of adults experience medical bankruptcy. The slow-motion crisis is 10x more probable than the acute one. Neither trends on social media.

Read more → ⇄ compare

About 39% of US retirees will experience a meaningful savings shortfall. The probability is higher than most working-age adults estimate, yet retirement planning consistently ranks below more dramatic financial fears.

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] Center for Retirement Research at Boston College — The National Retirement Risk Index: An Update from the 2022 SCF
    The National Retirement Risk Index: An Update from the 2022 SCF
    Statistic
    39% of working-age households are at risk of being unable to maintain their pre-retirement standard of living, down from 47% in 2019
    Excerpt
    “"Between 2019 and 2022, the NRRI dropped substantially — from 47 to 39 percent. The share of households at risk dropped to the lowest level since the Index started in 2004, largely due to rising home values." ”
    Source data from
    2024-02-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    The NRRI is the primary source for the native and normalized estimates. It compares projected replacement rates (from Social Security, pensions, 401(k)s, and home equity via reverse mortgage) against a target replacement rate derived from pre-retirement spending. Households falling more than 10% below their target are classified as "at risk." The 39% figure is used directly as the lifetime probability because the NRRI is already a lifetime-horizon measure — it asks whether a household will fall short over its entire retirement, not in any single year.
    Independence
    The NRRI is the canonical academic measure of US retirement preparedness. It uses the Federal Reserve's Survey of Consumer Finances microdata as its input, making it methodologically independent from survey-based confidence measures (EBRI, Gallup) and from industry benchmarks (Fidelity, Vanguard).
  2. [2] Employee Benefit Research Institute / Greenwald Research — 35th Annual Retirement Confidence Survey (2025)
    35th Annual Retirement Confidence Survey (2025)
    Statistic
    67% of workers are at least somewhat confident they will have enough money to live comfortably in retirement; 33% are not confident
    Excerpt
    “"67% of workers are confident they will have enough money to live comfortably throughout retirement, and 78% of retirees are confident. Workers' confidence remained unchanged between January 2024 and January 2025." ”
    Source data from
    2025-04-29
    Accessed
    2026-04-19 · archived copy
    Calculation
    The EBRI RCS provides a perception-side cross-check. If 33% of workers report not being confident, that is reasonably close to the NRRI's 39% "at risk" — though the two measures are not directly comparable. The EBRI figure is self-assessed confidence; the NRRI is a modeled shortfall based on balance-sheet data. The gap (33% not confident vs 39% at risk) suggests that some at-risk households are unaware of their shortfall, consistent with the literature on financial literacy and retirement planning.
    Independence
    EBRI's Retirement Confidence Survey uses a nationally representative consumer survey panel, methodologically independent from the NRRI's balance-sheet modeling approach and from Gallup's financial-worry tracking polls.
  3. [3] Board of Governors of the Federal Reserve System — Survey of Consumer Finances (SCF) — 2022
    Survey of Consumer Finances (SCF) — 2022
    Statistic
    Median retirement account balance for households aged 55-64: approximately $185,000 (2022 dollars)
    Excerpt
    “"The Survey of Consumer Finances (SCF) is a triennial cross-sectional survey of U.S. families. The survey provides detailed information on household balance sheets, pensions, income, and demographic characteristics." ”
    Source data from
    2023-10-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    The SCF's median retirement balance of ~$185,000 for households aged 55-64 provides a concrete reality check against savings guidelines. Fidelity's widely cited benchmark is 10x salary by age 67; with median household income of ~$80,000 (2022), the target would be ~$800,000. The gap between $185,000 (actual median) and $800,000 (guideline) is enormous. However, the Fidelity guideline targets 45% income replacement from savings alone, on top of Social Security. Households with modest pre-retirement spending, a paid-off home, or higher-than-average Social Security benefits may need substantially less than 10x. The SCF is the upstream dataset that feeds the NRRI model.
    Independence
    The SCF is the primary federal data source on household wealth. The NRRI uses SCF microdata, so the two sources are linked — but the SCF provides the raw balance data while the NRRI provides the modeled shortfall assessment.
  4. [4] Social Security Administration — The 2025 OASDI Trustees Report
    The 2025 OASDI Trustees Report
    Statistic
    Social Security replaces approximately 36-40% of pre-retirement earnings for average earners; OASI trust fund projected to be depleted by 2033, after which 77% of scheduled benefits would be payable from ongoing revenue
    Excerpt
    “"The Old-Age and Survivors Insurance Trust Fund will be able to pay 100 percent of total scheduled benefits until 2033, at which time the fund's reserves will become depleted and continuing program income will be sufficient to pay 77 percent of total scheduled benefits." ”
    Source data from
    2025-06-18
    Accessed
    2026-04-19 · archived copy
    Calculation
    Social Security is the single largest source of retirement income for most Americans and replaces roughly 36-40% of pre-retirement earnings for average earners (higher replacement rates for lower earners, lower for higher earners). The 2033 OASI trust fund depletion date does not mean benefits go to zero — ongoing payroll taxes would still fund about 77% of scheduled benefits. This is relevant because the NRRI model assumes full scheduled Social Security benefits; a ~23% cut would increase the share of households at risk by an estimated 5-10 percentage points. The entry uses the current- law benefit assumption consistent with the published NRRI.
    Independence
    The SSA Trustees Report is the official government projection for Social Security solvency, independent from the NRRI modeling at Boston College and from the EBRI confidence surveys.

412 risks with measured probability
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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