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Likelier
Other · reviewed 2026-04-19

What are the odds of living through a major economic recession?

Evidence quality 4.5/5

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
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 1.0

99% lifetime chance

range 1 in 1.1 to 1 in 1.0

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 3.4

● your factors — click this risk ▾ to reveal

≈ As likely as

A single downward-trending line graph on a plain background, flat vector illustration in muted tones.

Perceived

Recession fear is procyclical and poorly calibrated. In the wake of a crash, majorities tell pollsters the economy is already in recession or depression — a March 2025 Gallup poll found 42 percent of Americans believed the economy was in recession or depression even as GDP remained positive. During booms, the same risk fades from public consciousness. The net effect is that most people dramatically overestimate the severity of typical recessions while underestimating how certain it is that they will experience several. The mental model is a binary — "crash or no crash" — rather than a distribution of mild-to-severe contractions.

Rough estimate: ~50-70% guess they will experience a 'major' recession; most underestimate that mild ones are near-certain

Source: editorial intuition, not polled

Actual

~12 NBER-dated recessions in 80 years (1945-2025, US)

US economy

Show derivation

The NBER Business Cycle Dating Committee has identified 12 recessions between 1945 and 2025, with peaks in 1948, 1953, 1957, 1960, 1969, 1973, 1980, 1981, 1990, 2001, 2007, and 2020. That is roughly one every 6.7 years, with an average duration of about 10 months. Over a 59-year adult life (age 18 to 77), an American can expect to live through approximately 8-9 recessions. The probability of experiencing at least one recession is effectively 1.0. The normalized figure of 0.99 reflects the near-certainty of experiencing at least one NBER-dated recession during an adult lifetime, with the residual 0.01 representing a theoretical scenario of an unprecedented multi-decade expansion. For the more policy-relevant question — experiencing a severe recession with unemployment above 8% — the lifetime probability is lower, roughly 0.85-0.95, based on 4-5 such episodes since 1945 (1973-75, 1981-82, 2007-09, 2020). The central estimate uses the broader "any NBER recession" definition because even mild recessions cause measurable financial harm (job losses, wealth declines, reduced earnings growth).

Caveats: This entry conflates two distinct questions: the probability of living through a…

This entry conflates two distinct questions: the probability of living through a recession (near 1.0) and the probability of experiencing severe personal financial harm from one (much lower, highly variable). The personal_factor_multipliers apply to severity of impact, not to the macroeconomic event itself. The "lifetime probability" of 0.99 refers to experiencing at least one NBER-dated recession, which is essentially certain. The more actionable figure — whether a given recession will be severe enough to cause lasting personal harm — depends heavily on individual circumstances: employment sector, savings, debt levels, housing tenure, and birth cohort. The 2008 GFC destroyed 39% of median household net worth, but by 2022 median net worth had surged to $192,900, exceeding pre-crisis levels. Past recovery patterns are not guarantees; the Great Depression took over a decade for full employment recovery.

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
Mild recession (GDP decline <2%, unemployment <8%) 1 in 1.0 Most common type — 1990-91, 2001, and arguably 2020 (deep but only 2 months). An adult will experience several.
Severe recession (GDP decline >3%, unemployment >8%) 1 in 1.1 Less frequent but still near-certain over a lifetime — 1973-75, 1981-82 qualify; ~4-5 since 1945.
Crisis-level (unemployment >10%, major wealth destruction) 1 in 1.8 Roughly 3 events since 1945 (1981-82 at 10.8%, 2007-09 at 10.0%, 2020 at 14.7%). Lifetime exposure depends on birth cohort.
Stock market bear market (>20% S&P 500 decline) 1 in 1.0 27 bear markets since 1928, roughly every 3.6 years. A 40-year investor will experience ~11.

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Compare to:

The United States has experienced 12 NBER-dated recessions since 1945, roughly one every 6.7 years, with an average duration of about 10 months. Over a 59-year adult lifetime, an American can expect to live through approximately eight or nine of them. The probability of experiencing at least one recession is not a question of “if” but “how many and how bad.” The severity distribution matters more than the frequency: most recessions are mild (the 2001 dot-com recession and the 1990-91 contraction barely registered in many households’ finances), while the tail events — 1973-75, 1981-82, and especially the 2007-09 Great Financial Crisis — concentrate the real damage. Peak unemployment during the GFC hit 10.0 percent; during the 1981-82 recession it reached 10.8 percent; the 2020 COVID contraction spiked to 14.7 percent but lasted only two months.

The perception gap runs in both directions. Recession anxiety is procyclical: a March 2025 Gallup poll found that 42 percent of Americans believed the economy was already in recession or depression, even as GDP growth remained positive. People are most afraid immediately after a downturn — when the historical base rate suggests recovery is most likely — and least vigilant during booms, when risk is quietly building. The 2007-10 period illustrates both the genuine severity and the eventual recovery: the Federal Reserve’s Survey of Consumer Finances found that median family net worth fell 38.8 percent from 2007 to 2010, driven primarily by the collapse in housing values. But by 2022, median net worth had surged to $192,900 — a 37 percent real increase from 2019 alone, and well above the pre-crisis peak. The S&P 500 has delivered an average annual return of roughly 10.3 percent since 1957, a figure that already includes every crash, bear market, and recession in that period.

The actionable distinction is between the macroeconomic event (near-certain) and its personal financial impact (highly variable). The stock market has experienced 27 bear markets since 1928 — roughly one every 3.6 years — with an average decline of 35 percent and an average recovery to prior peak of 2.5 years. A household with six months of expenses in reserve, a diversified portfolio, and stable employment in a recession-resistant sector will experience the same recession as a leveraged, paycheck-to-paycheck household with concentrated equity holdings, but the outcomes will differ by orders of magnitude. The fear is correctly aimed: recessions are real, recurring, and occasionally devastating. The calibration error is in treating preparation as optional because the next one feels distant.

No reliable estimate exists for AI replacing your specific job. Economic recessions are 99% certain over a lifetime (~9 per career). The threat with no probability estimate gets the headlines. The certainty gets a shrug.

Read more → ⇄ compare

Living through a recession is near-certain (~99% over a career). Filing for personal bankruptcy happens to about 10% of US adults. Recessions are inevitable; going broke in one is not.

Read more → ⇄ compare

You will live through ~9 recessions and every major stock crash in a lifetime. Both are 99% certain. The difference: every stock crash has recovered. Recessions leave scars that compound.

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] National Bureau of Economic Research — US Business Cycle Expansions and Contractions
    US Business Cycle Expansions and Contractions
    Statistic
    12 recessions between 1945 and 2025, averaging ~10 months in duration with expansions averaging ~5-6 years
    Excerpt
    “"The NBER's Business Cycle Dating Committee maintains a chronology of US business cycles. The chronology identifies the dates of peaks and troughs that frame economic recessions and expansions." ”
    Source data from
    2021-07-19
    Accessed
    2026-04-19 · archived copy
    Calculation
    The NBER chronology lists peaks at: Nov 1948, Jul 1953, Aug 1957, Apr 1960, Dec 1969, Nov 1973, Jan 1980, Jul 1981, Jul 1990, Mar 2001, Dec 2007, Feb 2020. That gives 12 recessions in approximately 80 years (1945-2025). Average contraction duration is about 10.3 months post-WWII, down from ~18 months pre-WWII. Average expansion is ~5.8 years. Over a 59-year adult lifetime, 59 / 6.7 = ~8.8 expected recessions. The probability of avoiding all of them: assuming independent Poisson-like arrivals at rate 1/6.7 per year, P(zero recessions in 59 years) is vanishingly small (<0.001).
    Independence
    The NBER Business Cycle Dating Committee is the authoritative arbiter of US recession dates. FRED, BLS, and academic literature all defer to NBER dating.
  2. [2] Federal Reserve Board — Changes in U.S. Family Finances from 2007 to 2010: Evidence from the Survey of Consumer Finances
    Changes in U.S. Family Finances from 2007 to 2010: Evidence from the Survey of Consumer Finances
    Statistic
    Median family net worth fell 38.8% from 2007 to 2010 (from $126,400 to $77,300 in 2010 dollars)
    Excerpt
    “"Over the 2007-10 period, the median value of real family net worth fell 38.8 percent, and the mean fell 14.7 percent. Median family income before taxes fell 7.7 percent." ”
    Source data from
    2012-06-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    The Survey of Consumer Finances (SCF) is conducted every three years. The 2007-to-2010 comparison captures the full impact of the Great Financial Crisis on household balance sheets. The 38.8% median decline is driven primarily by the collapse in housing values (the primary asset for most households) and equity losses. The mean decline (14.7%) is smaller because high-net-worth households held more diversified portfolios that partially recovered by 2010. By the 2019 SCF, median net worth had recovered to approximately $121,700, and by 2022 it surged to $192,900 — exceeding 2007 levels in real terms.
    Independence
    The SCF is the Federal Reserve's flagship household wealth survey, conducted independently of BLS employment data and NBER business cycle dating.
  3. [3] Hartford Funds — 10 Things You Should Know About Bear Markets
    10 Things You Should Know About Bear Markets

    See all 2 Likelier entries citing this source →

    Statistic
    27 bear markets (>20% S&P 500 decline) since 1928; average duration 9.6 months; average decline ~35%; average recovery 2.5 years
    Excerpt
    “"There have been 27 bear markets in the S&P 500 Index since 1928. However, there have also been 28 bull markets — and stocks have risen significantly over the long term. The average length of a bear market is 289 days, or about 9.6 months. Stocks lose 35% on average in a bear market." ”
    Source data from
    2025-01-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    27 bear markets in ~97 years gives roughly one every 3.6 years. Over a 40-year investing career, an investor can expect ~11 bear markets. The probability of experiencing at least one >20% decline in a 40-year career is effectively 1.0. Stocks have been in bull markets approximately 78% of the time. The average recovery to a prior peak is 2.5 years, meaning a patient investor who holds through a bear market has historically recovered losses within a few years.
    Independence
    Hartford Funds analysis uses S&P Dow Jones Indices data. The bear-market count and methodology are consistent with other financial data providers (Yardeni Research, Invesco, etc.).
  4. [4] Bureau of Labor Statistics — The Recession of 2007-2009: BLS Spotlight on Statistics
    The Recession of 2007-2009: BLS Spotlight on Statistics
    Statistic
    Unemployment peaked at 10.0% in October 2009; 8.7 million jobs lost during the Great Recession
    Excerpt
    “"The unemployment rate peaked at 10.0 percent in October 2009, up from 5.0 percent in December 2007, when the recession began. More than 15 million people were unemployed at the peak." ”
    Source data from
    2012-02-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    BLS data provides the employment dimension of recession severity. Peak unemployment rates for major post-war recessions: 1973-75 (9.0%), 1981-82 (10.8%), 2007-09 (10.0%), 2020 (14.7% — though the COVID recession was ultra-short at 2 months). For mild recessions (1990-91, 2001), peak unemployment stayed below 8%. The severity distribution is key: most recessions cause moderate unemployment spikes (6-8%), while crisis-level events (>10%) are rarer — roughly 3-4 per 80 years.
    Independence
    BLS employment data is collected through the Current Population Survey (household survey) and Current Employment Statistics (establishment survey), independently of NBER dating and Federal Reserve wealth surveys.

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