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Other · reviewed 2026-04-11

What are the odds of a first marriage ending in divorce?

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 2.4

42% lifetime chance

Most people overestimate this.

range 1 in 2.9 to 1 in 2.0

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 1.7 1 in 3.7

● your factors — click this risk ▾ to reveal

≈ As likely as

Two simple gold rings resting apart on a muted grey surface, flat vector illustration.

Perceived

The "50% of marriages end in divorce" claim is one of the most durable statistical myths in American culture. It has been repeated so often — in news articles, self-help books, wedding speeches, and casual conversation — that most adults treat it as settled fact. The figure was never a cohort estimate; it came from comparing annual marriages to annual divorces in a calendar year, a method that confuses flows with stocks and overstates the risk for any individual marriage.

Rough estimate: ~50% — the folk statistic most people cite

Source: editorial intuition, not polled

Actual

~14.2 divorces per 1,000 married women per year (2024)

US married women age 15+

Show derivation

The native rate is a refined divorce rate (divorces per 1,000 married women per year) from the BGSU National Center for Family & Marriage Research using 2024 ACS data. To estimate a lifetime probability for first marriages, we use life-table methods rather than naive compounding, because the hazard is not constant — it peaks around years 5-8 and declines thereafter. The ~42% central estimate draws on the consensus range in family demography literature (roughly 40-45% for all US first marriages, lower for post-2000 and college-educated cohorts). This is consistent with the observed decline from the peak-divorce era: the refined rate fell from ~22.6 per 1,000 in 1980 to 14.2 in 2024, and younger cohorts are divorcing at lower rates than their parents did. The 42% figure is a population average that masks sharp demographic gradients by education, age at marriage, and birth cohort.

Caveats: This is not a death risk; the normalized figure represents the probability that …

This is not a death risk; the normalized figure represents the probability that a first marriage will end in divorce at some point, not the probability of dying. The 42% central estimate is a population average for all US first marriages and masks large demographic gradients. For college-educated women who married after 2000, the best available estimates put the figure at roughly 25-30%. For women without a college degree, it is closer to 55-60%. Age at marriage, cohabitation history, and religious participation all shift the number further. The "50% of marriages end in divorce" figure was never a cohort estimate — it came from dividing annual divorces by annual marriages in the same calendar year, a method that confuses flows with stocks and has been repeatedly criticized in the demography literature. The rate has been declining for decades, and the decline is concentrated among younger, more educated cohorts.

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Compare to:

The “50% of marriages end in divorce” figure is arguably the most cited statistic in American domestic life, and it has been wrong for decades. The number came from comparing annual marriages to annual divorces in a calendar year — a method roughly as sensible as dividing annual births by annual deaths to estimate the odds of dying in a given year. Cohort analysis tells a different story: about 42% of US first marriages will eventually end in divorce, down from a peak near 50% for marriages that began in the late 1970s. The refined divorce rate has fallen from roughly 22.6 per 1,000 married women in 1980 to 14.2 in 2024, a 50-year low.

The decline is not uniform, and that is the interesting part. Kennedy and Ruggles showed in 2014 that the falling headline rate masked a bifurcated trend: divorce rates among people over 35 had actually doubled between 1990 and 2008, while rates among younger couples were stable or falling. The explanation is selection. Marriage has become increasingly concentrated among the educated and economically stable, and those marriages are more durable. The cultural perception — half of all marriages fail — lags the data by a generation.

The demographic gradient is steep enough to matter for any individual reader. For college-educated women who married after 2000, the best estimates put lifetime divorce risk at roughly 25-30%, about half the population average. For women without a college degree, it is closer to 55-60%. Age at marriage is the second-strongest predictor: marrying before 25 raises the risk substantially, while marriages in the late twenties show the lowest hazard in recent ACS data. The 42% headline is a real number, but it describes almost nobody in particular — and the 50% it replaced described nobody at all.

Chronic back pain affects 80% of adults over a lifetime. Divorce hits about 42%. Your spine is a less reliable partner than your spouse.

Read more → ⇄ compare

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.

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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 Center for Family & Marriage Research, Bowling Green State University — Refined Divorce Rate in the U.S.: Geographic Variation, 2024
    Refined Divorce Rate in the U.S.: Geographic Variation, 2024
    Statistic
    14.2 women per 1,000 married women aged 15+ divorced in the past 12 months (2024 ACS)
    Excerpt
    “"With 14.2 women divorcing per 1,000 married women, the U.S refined divorce rate decreased just slightly in 2024 from 14.4 in 2023." ”
    Source data from
    2025-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    The refined divorce rate (per 1,000 married women) is the standard measure in family demography because it uses the at-risk population as the denominator, unlike the crude rate (per 1,000 total population). The 2024 figure of 14.2 continues a long decline from the 1980 peak of ~22.6. Used as the native annual rate. The lifetime estimate requires life-table methods because the divorce hazard is non-constant across marriage duration; the 42% central estimate comes from the demography consensus described in the assumptions field rather than from naive compounding of this annual rate.
    Independence
    BGSU NCFMR profiles are derived from ACS microdata. They are methodologically independent from CDC NCHS vital statistics, which use state-reported counts.
  2. [2] Demography (Kennedy & Ruggles) — Breaking Up Is Hard to Count: The Rise of Divorce in the United States, 1980-2010
    Breaking Up Is Hard to Count: The Rise of Divorce in the United States, 1980-2010
    Statistic
    Age-standardized divorce rates doubled among persons over 35 between 1990 and 2008; rates among youngest couples stable or declining
    Excerpt
    “"Using new data from the American Community Survey and controlling for changes in the age composition of the married population, we conclude that there was actually a substantial increase in age-standardized divorce rates between 1990 and 2008. Divorce rates have doubled over the past two decades among persons over age 35. Among the youngest couples, however, divorce rates are stable or declining." ”
    Source data from
    2014-04-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Kennedy & Ruggles demonstrated that crude divorce rate trends are misleading because they fail to account for changes in the age composition of the married population. Their age-standardized analysis showed that the apparent post-1980 decline in divorce masked rising rates among older adults and genuinely declining rates among younger cohorts. This bifurcated trend is critical to interpreting the lifetime probability: the 42% average blends a lower rate for post-2000 marriages (~35%) with higher rates for older cohorts who married in the peak-divorce era.
    Independence
    Kennedy & Ruggles used ACS microdata, the same upstream source as BGSU NCFMR profiles, so the two sources are partially dependent. However, the analytical contribution (age-standardization methodology and cohort decomposition) is independent.
  3. [3] CDC National Center for Health Statistics — Marriage and Divorce
    Marriage and Divorce
    Statistic
    Crude divorce rate: 2.4 per 1,000 population (2023 provisional, 45 reporting states and D.C.)
    Excerpt
    “"Divorce rate: 2.4 per 1,000 population (45 reporting States and D.C.)" ”
    Source data from
    2025-03-17
    Accessed
    2026-04-11 · archived copy
    Calculation
    The crude divorce rate (per 1,000 total population) is the figure most commonly cited in news media, but it is the wrong denominator for estimating individual risk — it includes children, never-married adults, and the already-divorced. The crude rate has fallen from 5.0 in 1985 to 2.4 in 2023, partly reflecting genuine decline and partly reflecting the falling share of the population that is married. Used here as a corroborating check and to illustrate why the "50% myth" arose: dividing annual divorces by annual marriages in a calendar year is algebraically similar to the crude rate and overstates the lifetime risk for any cohort.
    Independence
    CDC NCHS uses state vital statistics reports (administrative records), while ACS-based sources use household survey responses. Different collection pipelines.

412 risks with measured probability
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& 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 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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 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169,491,525
Lottery jackpot 1 in 95,238