AgenticInvestor

South Korea Labor Force Participation Rate

South Korea · Monthly series · EC-KR-LFPR

Latest, October 2026

64.4%

-0.20pp from September 2026

Open interactive chartSouth Korea Labor Force Participation Rate in the app

65.9863.4460.9November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 64.4%, with an 80% interval of 63.9% to 64.9%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202664.4%64.2%64.6%
December 202663.8%63.1%64.3%
January 202763.2%62.5%63.9%
February 202763.5%62.8%64.1%
March 202764.2%63.2%65.0%
April 202764.6%63.8%65.3%
May 202765.0%63.9%66.0%
June 202765.0%64.1%65.7%
July 202764.7%64.0%65.3%
August 202764.3%63.8%64.7%
September 202764.4%63.6%65.0%
October 202764.4%63.9%64.9%

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+48%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
83%Beats a coin flip (113 of 136 calls right in 12 tests)
Turning points
31 of 38Anticipated most turns (38 turns in 12 tests, 0 without a turn)
Error vs baseline
48% lowerError ratio 0.52; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
80%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 69% of the 119 earlier readings since November 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
October 202664.4%
September 202664.6%
August 202664.6%
July 202665.0%
June 202665.2%
May 202665.2%
April 202664.9%
March 202664.6%
February 202661.8%
January 202664.7%
December 202564.8%
November 202564.6%
October 202564.8%
September 202565.0%
August 202564.6%
July 202565.0%
June 202565.4%
May 202565.6%
April 202565.1%
March 202564.6%
February 202563.7%
January 202563.4%
December 202463.9%
November 202464.6%

Source

Data: public market data feeds.

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