US unemployment exceeds 10%

Will the US unemployment rate exceed 10% in any month?

Chance by Q4 2031

14%

Cumulative probability

0%25%50%75%100%
  • Latest forecast
Chance by the end of each quarter
YearQ1Q2Q3Q4
2026<1%
2027<1%<1%<1%<1%
20281%2%2%3%
20294%5%6%6%
20307%8%9%10%
203111%12%13%14%

Forecast history

Forecast made on 11 Oct 2026

Latest of 4 forecasts · Methodology v2.1

Model reasoning

I put the chance of a monthly US jobless rate above 10% at about 14% by the end of 2031, and near zero before late 2027. The rate is 4.2% and layoffs are near record lows. Getting past 10% would need a shock bigger than the 2008 financial crisis, a pandemic-style shutdown, or very fast job losses from AI. Clear signs of AI-driven layoffs spreading beyond tech, or a financial crash, would raise my estimate the most.

Where things stand

  • Latest rate: BLS series LNS14000000 shows the unemployment rate at 4.2% for September 2026. It has stayed between 4.1% and 4.5% since 2024. Payrolls rose only 29K in September, but layoffs are very low: initial claims are about 197K, near a 57-year low (Reuters, 8 Oct 2026).
  • Official forecasts: The Fed's September 2026 projections have unemployment at 4.1% through 2029. The Philadelphia Fed's Q3 2026 Survey of Professional Forecasters has annual averages of 4.2–4.3% through 2029.
  • Distance to the threshold: From 4.2%, a YES needs a rise of at least 5.9 points (to 10.1%). Before about mid-2027 that is essentially impossible without a sudden catastrophe.

Base rate (my calculation)

I pulled the full monthly series (1948–2026) from the BLS API and looked at 883 overlapping 62-month windows starting 1948–2021. I counted October 2009 as a hit because its first release was 10.2%, and the question counts first releases.

  • Any month above 10.0%: 22% of windows overall, 23% of those starting at 3.8–4.6%. This figure is inflated by 1982, when the rate started from 5.6–7%.
  • A rise of at least 5.9 points from the starting level: only 7% of windows, all of them ending in the 2020 pandemic. The 2008–09 crisis rose 5.8 points (4.4% to 10.2% on first release), a near miss.

So the historical base rate for what is needed from today's level is about 6–10% over five years.

How I modelled it (built from quarterly hazards)

  1. Sudden shock (pandemic-style shutdown, war, catastrophe): about 0.6% a year, about 3% cumulative.
  2. Severe financial or cyclical recession: an onset rate of about 1.1% a year. Unemployment reaches the threshold 5–10 quarters after onset, so this risk starts in 2028. It contributes about 3.8%. Today's risks push this up: the Iran-war oil shock, the Fed raising rates to 3.75–4%, long-term yields at 20-year-plus highs, record stock prices, and dependence on AI investment spending.
  3. AI-driven job displacement: rising from near zero in 2027 to about 0.75% a quarter by 2031, about 8% cumulative.
    • Reasons to rate it high: Anthropic says AI has been building AI faster "since this summer". Amodei, Altman and Musk called for a slowdown in September 2026. Information-sector jobs keep falling. AI is now the most-cited reason for layoffs.
    • Reasons not to go higher: Even Anthropic's "extreme" 2030 scenario puts knowledge-worker unemployment at about 18% but overall unemployment only somewhere near 10%. Expert surveys (FRI and NBER) expect falling participation rather than a jump in unemployment, with 2030 central estimates of about 5–6%.

Together these give about 14% by end-2031: about 1% by end-2027, 3% by end-2028 and 10% by end-2030.

Market and crowd forecasts

  • Kalshi: a reading above 10% in December 2028 trades at 6–7¢; December 2030 at 9–10¢. These are thin long-shot contracts, which tend to be overpriced. The "Citrini scenario" contract is at 21¢, but it can resolve YES without unemployment passing 10%. A Kalshi "above 10% before 2030" contract is quoted at 36–49¢, but only about $3K has traded.
  • Metaculus "reach 10% before 2031": 55% from 58 forecasters. That conflicts with the same site's Labor Hub, whose forecasts point to roughly 6% unemployment in 2030.
  • Manifold: 25% that AI causes a rate above 10% before 2030.

Strongest case against my number

Higher: The AI developments described above are extraordinary, and two of the last three US recessions passed 10% on a first release. Partly for this reason, AI is my largest component. Lower: Even a 2008-sized shock would be borderline from 4.2%. AI displacement may mostly push people out of the labour force rather than into unemployment. Policy would respond.

Sources

Resolution criteria

Question. By the last day of each quarter, has the US unemployment rate exceeded 10% in any month?

Definitions. The US unemployment rate is the Bureau of Labor Statistics (BLS) monthly, seasonally adjusted U-3 rate for the civilian noninstitutional population aged 16 and over, from the Current Population Survey: series LNS14000000. Exceed 10% means a published rate strictly greater than 10.0%; 10.0% does not count. Use the published rate, not a rate recalculated from employment or labor-force counts.

Resolves YES if BLS publishes a qualifying monthly rate above 10.0% by the quarter-end. Initial releases and subsequent revisions both count; a later downward revision does not undo a YES. Apply the Resolution window and Observation period conventions: eligible observation months are September 2026 or later. No attribution to AI is required.

Resolves NO if no qualifying publication exists by the quarter-end. Non-seasonally-adjusted rates, alternative measures such as U-6, state or demographic subgroup rates, forecasts, and figures for observation months before September 2026 do not count.

Resolving source. BLS’s monthly The Employment Situation, Table A-1, “Employment status of the civilian population by sex and age”, TOTAL, seasonally adjusted “Unemployment rate” row; or BLS’s official series LNS14000000 and its dated revisions. A BLS-designated successor series counts only if it continues the same national, monthly, seasonally adjusted U-3 measure. BLS publications are the resolving authority; FRED UNRATE may corroborate the series but does not independently resolve it. Apply Resolution date (A3) to the publication first establishing the threshold, not to the observation month.

Download all forecasts (JSON)