Moldova Labor Force Participation Rate

Moldova · Quarterly series · EC-MD-LFPR

Latest, Q2 2026

48.5%

+1.00pp from Q1 2026

Open interactive chartMoldova Labor Force Participation Rate in the app

61.449.237Q1 2000Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 47.7%, with an 80% interval of 38.6% to 56.8%.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202648.2%45.7%50.4%
Q4 202646.5%42.7%50.3%
Q1 202747.2%42.4%52.1%
Q2 202747.7%38.6%56.8%

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+10%Matches the no-change baseline over 8 tests (8 tests, 4 won)
Direction
68%No clear edge over a coin flip (21 of 31 calls right in 8 tests)
Turning points
12 of 14Anticipated most turns (14 turns in 8 tests, 0 without a turn)
Error vs baseline
10% lowerError ratio 0.90; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
84%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

That is the highest of the 40 readings since Q3 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
Q2 202648.5%
Q1 202647.5%
Q4 202542.1%
Q3 202544.9%
Q2 202541.8%
Q1 202539.7%
Q4 202442.5%
Q3 202445.5%
Q2 202445.0%
Q1 202444.8%
Q4 202344.7%
Q3 202346.0%
Q2 202345.4%
Q1 202344.5%
Q4 202242.4%
Q3 202242.3%
Q2 202242.3%
Q1 202240.1%
Q4 202141.0%
Q3 202142.8%
Q2 202141.2%
Q1 202139.3%
Q4 202040.8%
Q3 202041.5%

Source

Data: public market data feeds.

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